diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/config.yaml b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/config.yaml deleted file mode 100644 index 0d658242b66df0b205eb5fa3bac0508c078d5134..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/config.yaml +++ /dev/null @@ -1,115 +0,0 @@ -name: train_llm_lowdim -_target_: llmbc.workspace.train_llm_workspace.TrainLLMWorkspace -obs_dim: ${task.obs_dim} -action_dim: ${task.action_dim} -horizon: 1 -n_obs_steps: 1 -n_action_steps: 1 -task_name: ${task.name} -exp_name: train llm -model_name: ${llm.name} -use_quantization: ${llm.use_quantization} -lora_config: ${llm.lora_config} -dataset: - test_data_ratio: 0.01 -debug: false -training: - seed: 42 - per_device_train_batch_size: 128 - per_device_eval_batch_size: 128 - gradient_accumulation_steps: 1 - optim: paged_adamw_32bit - num_train_epochs: 10 - eval_strategy: steps - logging_steps: 1 - warmup_steps: 10 - logging_strategy: steps - learning_rate: 5.0e-05 - fp16: false - bf16: true - tf32: true - group_by_length: true - report_to: wandb - save_steps: 5000 - eval_steps: 10 - use_joint_mlp_projector: ${llm.use_joint_mlp_projector} - joint_obs_action_mlp_lr: 5.0e-05 -trainer: - obs_dim: ${obs_dim} - action_dim: ${action_dim} - use_joint_mlp_projector: ${llm.use_joint_mlp_projector} - max_seq_length: ${llm.max_length} - dataset_text_field: text - packing: false -logging: - project: llm_module_finetuning - resume: true - mode: online - name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name} - tags: - - ${name} - - ${task_name} - - ${exp_name} - id: null - group: null -multi_run: - run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name} -task: - name: box-close-v2 - obs_dim: 9 - action_dim: 4 - env_runner: - _target_: llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner - env_name: llf-metaworld-box-close-v2 - n_train: 10 - n_test: 50 - n_envs: 10 - max_steps: 30 - n_obs_steps: ${n_obs_steps} - n_action_steps: ${n_action_steps} - instruction_type: b - feedback_type: - - hp - - hn - - fp - visual: false - discount: 0.9 - dataset: - _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset - data_path: datasets/box-close-v2-general-expsplit0.02-manual-expert-only.pt - data_path2: datasets/box-close-v2-split0.02.pt - horizon: ${horizon} - pad_before: ${eval:'${n_obs_steps}-1'} - pad_after: ${eval:'${n_action_steps}-1'} - obs_eef_target: true - use_manual_normalizer: false - val_ratio: 0.05 - dummy_normalizer: false - instructor: - _target_: llmbc.translator.instructor.metaworld_instructor.box_close_v2_instructor.BoxCloseV2Instructor -llm: - name: HuggingFaceTB/SmolLM2-135M-Instruct - model_name: SmolLM2-135M-Instruct - config_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaConfig - causal_lm_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaForCausalLM - use_quantization: false - use_joint_mlp_projector: true - llm_mode: mlp-finetuned - finetune_mode: orig - checkpoint: data/outputs/2026.09.24/17.18.06_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt - max_length: 100 - lora_config: - r: 32 - lora_alpha: 64 - lora_dropout: 0.05 - bias: none - task_type: CAUSAL_LM - prompter: - _target_: llmbc.translator.prompter.smollm2_prompter.SmolLM2Prompter - use_joint_mlp_projector: true - hydra: - job: - override_dirname: ${model_name} - run: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${model_name} diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml deleted file mode 100644 index 2081d84eddd098affc07a1c325637d8a9c06e8db..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - sweep: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: train - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: llmdp_llm_box-close-v2_expsplit0.02-manual.yaml - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.2.0 - version_base: '1.2' - cwd: /tmp2/chyang/workspace/LLM-BC - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /tmp2/chyang/workspace/LLM-BC/config/lang_source - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json deleted file mode 100644 index 62d616b9b32595b430ab968b69c58654f4e428fd..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json +++ /dev/null @@ -1,42 +0,0 @@ -{ - "_name_or_path": "HuggingFaceTB/SmolLM2-135M-Instruct", - "action_dim": 4, - "architectures": [ - "LowdimLlamaForCausalLM" - ], - "attention_bias": false, - "attention_dropout": 0.0, - "bos_token_id": 1, - "eos_token_id": 2, - "head_dim": 64, - "hidden_act": "silu", - "hidden_size": 576, - "initializer_range": 0.041666666666666664, - "intermediate_size": 1536, - "is_llama_config": true, - "max_position_embeddings": 8192, - "mlp_bias": false, - "model_type": "llama_lowdim", - "num_attention_heads": 9, - "num_hidden_layers": 30, - "num_key_value_heads": 3, - "obs_dim": 9, - "pad_token_id": 2, - "pretraining_tp": 1, - "rms_norm_eps": 1e-05, - "rope_interleaved": false, - "rope_scaling": null, - "rope_theta": 100000, - "tie_word_embeddings": true, - "torch_dtype": "float32", - "transformers.js_config": { - "kv_cache_dtype": { - "fp16": "float16", - "q4f16": "float16" - } - }, - "transformers_version": "4.47.1", - "use_cache": false, - "use_joint_mlp_projector": true, - "vocab_size": 49152 -} diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json deleted file mode 100644 index d5d8504870a2dc1d3c10576754965ea0e59d63da..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "_from_model_config": true, - "bos_token_id": 1, - "eos_token_id": 2, - "pad_token_id": 2, - "transformers_version": "4.47.1" -} diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt deleted file mode 100644 index 69503b13f727ba3812b6803e97442a6de05ef5eb..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt +++ /dev/null @@ -1,48901 +0,0 @@ -#version: 0.2 -Ġ t -Ġ a -i n -h e -Ġ Ġ -r e -o n -e r -Ġt he -a t -Ġ s -Ġ o -e n -Ġ c -e s -Ġ w -n d -i t -o r -i s -a l -Ġ p -in g -Ġ f -a n -e d -Ġ b -o u -a r -Ġ in -Ġo f -Ġ m -Ġa nd -i on -i c -Ġ d -Ġt o -ĠĠ ĠĠ -l e -r o -a s -en t -Ġ h -Ġt h -c t -Ġ e -Ġ re -e l -o m -i l -s t -Ġ l -Ġ n -e t -i m -v e -o l -at ion -Ġ g -i d -Ġ T -s e -Ġ is -u r -u t -r a -l y -c e -o t -â Ģ -c h -o w -i g -Ġb e -Ġ u -Ġf or -Ġs t -Ġ y -Ġ A -v er -a m -ĠĠ Ġ -Ġ S -Ġ on -u l -i r -Ġth at -Ġ I -Ġ C -a y -i f -it h -a d -Ġc on -Ġy ou -Ġa s -Ġp ro -he r -o d -Ġw ith -t er -ĠĠĠĠ ĠĠĠĠ -Ġa n -Ġo r -Ġw h -Ġ it -m ent -Ġa re -Ġa l -g e -es s -is t -Ġe x -Ġ ( -er s -Ġd e -at e -a b -i es -o p -Ġ M -t h -e ct -re s -u s -Ġ P -ĠT he -Ġc om -i v -es t -u m -it y -Ġ he -q u -Ġ v -a c -il l -Ġ B -o re -e m -Ġw e -Ġs u -p p -o s -k e -a nd -ro m -n t -l d -or t -a in -an t -i ve -ig h -o c -Ġ H -Ġ W -i al -Ġc h -Ġb y -Ġ r -u d -Ġ E -ĠĠĠĠ ĠĠĠ -Ġc an -âĢ Ļ -Ġa t -u n -Ġn e -Ġh a -Ġ D -- - -u re -Ġ le -Ġ F -Ġs e -Ġ R -Ġf rom -Ġ en -r i -p e -ic al -ar t -o g -Ġw as -p t -ion s -p l -r ou -Ġn ot -Ġ N -Ġs h -Ġ im -igh t -Ġ = -ou t -Ċ ĠĠĠĠĠĠĠ -al l -Ġ L -Ġth is -Ġ G -Ġa b -a g -re d -p er -Ġha ve -Ġw or -Ġ âĢ -g h -ou r -in e -i z -Ġin t -om e -Ċ ĠĠĠĠĠĠĠĠ -u st -Ġu s -Ġyou r -ou ld -a ct -Ċ ĠĠĠ -a ge -o st -Ġp l -Ġ " -ar d -el l -t her -Ġthe ir -ul t -el f -at ed -f f -ic h -en d -an s -ou s -id e -r u -ation s -Ġ O -Ġa d -a k -Ġw he -d u -c l -Ġcon t -Ġre s -as t -Ġ k -Ġthe y -Ġcom p -T he -i b -' s -or m -i p -c c -Ġd is -Ġal l -a p -am e -Ġ U -ab le -on g -e ar -e re -i e -as s -Ġim p -a re -Ġw ill -an ce -ĠT h -in d -Ġwh ich -o od -ar y -Ġ J -u al -v el -ĠI n -e p -en ce -Ġd o -on e -k s -Ġc l -Ġm ore -r y -i a -Ġt e -Ġ j -ig n -u e -ent s -re at -Ġm e -Ġo ther -Ġu n -i le -Ġh as -a ch -Ġm an -im e -ct ion -il d -s o -res s -c es -Ġa r -Ġab out -Ġb ut -a v -Ġa pp -Ġp er -o o -ic e -it ion -at er -el y -âĢ Ŀ -Ġs p -a ke -as e -Ġe v -Ġo ut -or s -ac k -en s -Ġon e -ver y -f orm -Ġ if --- -- -or y -Ġs o -or d -a ce -in t -Ġwe re -b er -nd er -) . -Ġl i -Ġal so -ou nt -Ġp art -Ġcom m -Ġthe m -o se -a u -an g -c i -Ġst ud -c on -r it -i re -Ġp e -u b -n ow -Ġ qu -Ġu p -Ġs y -ing s -Ġwh o -Ġint o -ĠâĢ ľ -ou nd -is h -Ġp re -Ġthe se -Ġit s -ĠS t -ol og -if f -pe c -ĊĠĠĠĠĠĠĠĠ ĠĠĠ -rou gh -r ic -Ġf e -Ġbe c -Ġs ome -Ġt ra -a il -Ġ ' -Ġh ow -Ġs elf -re e -Ġin d -it ies -) , -k ing -Ġwhe n -ay s -p h -ver s -Ġe m -Ġh is -Ġ ro -if ic -Ġo ur -Ġm ay -Ġt ime -Ġu nder -ĠI t -ment s -Ġ K -at es -op le -n e -it e -Ġc ol -Ġthe re -Ġb et -ur n -c re -ĠTh is -Ġth an -ou gh -y s -Ġd iff -at ing -o b -t e -w e -ĠC h -at h -j ect -Ġt r -al ly -l ow -er v -Ġg o -m s -Ġcon s -Ġa g -Ġ ra -Ġo ver -le ct -Ġre c -x t -Ġp r -p le -ter n -i an -Ġa cc -Ġk now -c ess -Ġpe ople -Ġli ke -o ve -Ġhe l -Ġa ct -at a -on s -Ġd es -l ic -cl ud -i ous -# # -Ġy ear -ar n -Ġsu ch -Ġre l -Ġ V -Ġ Y -Ġbe en -ro w -e f -Ġu se -re n -Ġhel p -Ġne w -g et -) : -al th -ir st -er t -Ġ - 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as -le aves -st arch -se ma -ĠL ef -Ġev ocative -und ity ----------------- ---------- -Ġz u -Ġrad ii -ĠRed ist -IL Y -cap ac -Ġbio informatics -ĠVer b -Ac ute -ĠRand all -Ġreplic as -ĠDermat ology -- $ -c rum -r anges -ĠH ide -con verter -Ġinv al -Ġsub field -Ġca utions -ĠWe aver -Ġred ox -bl ogs -ĠOpt imal -Key Not -Add Field -ĠSpirit uality -ĠPrint ed -Ġscram bled -Ġperil ous -Ġalph abets -Ġincompet ent -ομ αι -P ont -R uss -a ires -c ine -d rops -Ð Ĵ -Ġy oke -ĠG oose -ĠG ras -Ġk erosene -ĠAs iatic -Ġop acity -ming ton -__( * -Ġcomprehens ively -Ġfilm maker -Ġbrother hood -Ġce mented -ĠHur on -Ġpa ediatric -Ġtoss ing -ĠDin osaur -ĠMack enzie -Ġnymph s -Ġellip se -F ine -k p -ĠE TH -Ġall uvial -ĠTh oreau -Ġded uced -New ton -ĠIN D -obj s -how ever -Ġembed dings -ĠParent al -ĠPu get -Ġovers aw -Ġchim ps -ĠCL R -Ġsam urai -c ampus -m ails -Ġe rection -ĠB ake -ĠE isen -Ġun mist -Ġob long -Ġmed itative -Ġcar riages -Ġeng ravings -Ġstory lines -writ es -dat as -ĠElect ions -vol t -Trans l 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17458, - "ĠEmbracing": 17459, - "roit": 17460, - "cession": 17461, - "Ġcasting": 17462, - "Ġincon": 17463, - "edges": 17464, - "udge": 17465, - "clock": 17466, - "ordon": 17467, - "tox": 17468, - "Ġvisitor": 17469, - "dose": 17470, - "amboo": 17471, - "Ġpist": 17472, - "igraph": 17473, - "Ġlimestone": 17474, - "Ġhosted": 17475, - "eur": 17476, - "apply": 17477, - "Ġplague": 17478, - "Ġunpredict": 17479, - "Ġreper": 17480, - "Ġ(-": 17481, - "Ġawa": 17482, - "document": 17483, - "beit": 17484, - "Ġargparse": 17485, - "Bre": 17486, - "Ġtasty": 17487, - "Ġdownstream": 17488, - "ĠBull": 17489, - "Ġpulmonary": 17490, - "Ġnuances": 17491, - "timestamp": 17492, - "iw": 17493, - "Ġwore": 17494, - "gage": 17495, - "ĠPed": 17496, - "Integer": 17497, - "Ġshrubs": 17498, - "cellular": 17499, - "ĠACT": 17500, - "ĠMember": 17501, - "ibles": 17502, - "Ġclause": 17503, - "utable": 17504, - "Course": 17505, - "ĠRow": 17506, - "Ġdecorated": 17507, - "pk": 17508, - "ĠSad": 17509, - "achine": 17510, - "Ġrunoff": 17511, - "Ġculmin": 17512, - "ulous": 17513, - "Ġserum": 17514, - "Ġveterinarian": 17515, - "ithmetic": 17516, - "price": 17517, - "brates": 17518, - "Ġsimplest": 17519, - "Ġflame": 17520, - "Ġshark": 17521, - "Ġdisinf": 17522, - "Ġactor": 17523, - "Ġincub": 17524, - "Ġtermed": 17525, - "Ġpersistence": 17526, - "Ġic": 17527, - "stones": 17528, - "ĠAlcohol": 17529, - "aceous": 17530, - "driver": 17531, - "Ġrepository": 17532, - "ĠCoord": 17533, - "Ġrecreation": 17534, - "Ġyards": 17535, - "ĠChem": 17536, - "Ġvein": 17537, - "Ġpm": 17538, - "ĠIBM": 17539, - "ĠDefault": 17540, - "Ġpersecution": 17541, - "Ġlearns": 17542, - "ĠOccup": 17543, - "nx": 17544, - "ĠCatal": 17545, - "ĠMR": 17546, - "Ġdiffering": 17547, - "Context": 17548, - "odont": 17549, - "Ġcryptocur": 17550, - "Ġheavier": 17551, - "ĠTro": 17552, - "ĠPubl": 17553, - "Ġtouched": 17554, - "ĠConstruction": 17555, - "Modern": 17556, - "Ġsubtract": 17557, - "erred": 17558, - "Ġlamp": 17559, - "Ġbiography": 17560, - 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"ographics": 17611, - "Ġlongevity": 17612, - "ĠHopkins": 17613, - "Ġcarriers": 17614, - "Ġsigning": 17615, - "Ġimmigrant": 17616, - "font": 17617, - "ivated": 17618, - "pleted": 17619, - "Ġpsychologists": 17620, - "Ang": 17621, - "Ġdip": 17622, - "Ġaviation": 17623, - "Ġneedles": 17624, - "Ġreinforced": 17625, - "Ġnoqa": 17626, - "Ġearnings": 17627, - "Ġinformative": 17628, - "Ġub": 17629, - "Ġinternationally": 17630, - "flag": 17631, - "lasting": 17632, - "Ġtended": 17633, - "tuple": 17634, - "Ġelimination": 17635, - "ĠMalaysia": 17636, - "mont": 17637, - "ĠABC": 17638, - "loader": 17639, - "ĠEthiopia": 17640, - "Ġbru": 17641, - "Ġell": 17642, - "scient": 17643, - "ĠThor": 17644, - "ĠForum": 17645, - "Ġexcel": 17646, - "Total": 17647, - "Ġproactive": 17648, - "ĠHyper": 17649, - "Ġcompassionate": 17650, - "ogly": 17651, - "ĠFestival": 17652, - "break": 17653, - "Ġpave": 17654, - "utenant": 17655, - "Enter": 17656, - "mitt": 17657, - "ĠScripture": 17658, - "Ġsealed": 17659, - 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"Ġcompromised": 17711, - "Ġreferen": 17712, - "headed": 17713, - "Ġproportions": 17714, - "organic": 17715, - "heat": 17716, - "Brit": 17717, - "expensive": 17718, - "Ġhect": 17719, - "units": 17720, - "ĠChron": 17721, - "ĠTrail": 17722, - "sections": 17723, - "ediatrics": 17724, - "Ġmonuments": 17725, - "gex": 17726, - "Ġspawn": 17727, - "negative": 17728, - "academia": 17729, - "fc": 17730, - "Ġasteroid": 17731, - "watch": 17732, - "Ġethn": 17733, - "ĠEvaluation": 17734, - "Ġcivilians": 17735, - "ijing": 17736, - "Ġanth": 17737, - "Ġsnipp": 17738, - "Phone": 17739, - "Ġinheritance": 17740, - "ĠIF": 17741, - "ĠSeattle": 17742, - "Ġrhythms": 17743, - "Ġpurchases": 17744, - "Ġdefence": 17745, - "Ġinviting": 17746, - "Ġdetector": 17747, - "Ġedible": 17748, - "Ġsaves": 17749, - "Ġdeclaration": 17750, - "Ġaerial": 17751, - "speaking": 17752, - "ĠVision": 17753, - "Ġexterior": 17754, - "Ġcleans": 17755, - "ĠCPU": 17756, - "thens": 17757, - "Ġsisters": 17758, - "Ġnesting": 17759, - "ĠPick": 17760, - "Ġmanuscripts": 17761, - "otor": 17762, - "Ġ[[": 17763, - "Ġamphib": 17764, - "Ġcontinents": 17765, - "estyles": 17766, - "Ġverbs": 17767, - "ĠStrategy": 17768, - "Ġsubset": 17769, - "Ġcracks": 17770, - "Ġdestroying": 17771, - "quer": 17772, - "Ġfrontier": 17773, - "Ġcritique": 17774, - "ĠLikewise": 17775, - "Ġbubbles": 17776, - "Command": 17777, - "idating": 17778, - "Ġprosec": 17779, - "oi": 17780, - "Ġsticky": 17781, - "ispens": 17782, - "hetical": 17783, - "Ġfeast": 17784, - "storage": 17785, - "itat": 17786, - "Ġdifferentiation": 17787, - "ference": 17788, - "Ġautoimmune": 17789, - "ancers": 17790, - "respons": 17791, - "Ġbites": 17792, - "ĠPalestinian": 17793, - "################################################################": 17794, - "ĠAgainst": 17795, - "ixty": 17796, - "astype": 17797, - "ĠExperience": 17798, - "ĠRobinson": 17799, - "Ġwelding": 17800, - "ĠIsaac": 17801, - "itol": 17802, - "umble": 17803, - "Ġempowering": 17804, - ":.": 17805, - "Parent": 17806, - "Ġincoming": 17807, - "Ġschema": 17808, - "ĠExchange": 17809, - "Ġportfolio": 17810, - "Ġactivism": 17811, - "Ġposterior": 17812, - "Ġhanded": 17813, - "ĠSummary": 17814, - "æĸ": 17815, - "Ġgates": 17816, - "Ġswitches": 17817, - "Ġathlete": 17818, - "ĠAndroid": 17819, - "Ġμ": 17820, - "ĠAntarctica": 17821, - "ĠâĨĴ": 17822, - "Ġindirectly": 17823, - "Ġanemia": 17824, - "ĠBirth": 17825, - "metrics": 17826, - "ĠSN": 17827, - "Ġ\"--": 17828, - "Ġcorrelated": 17829, - "âĢ²": 17830, - "Ġfaithful": 17831, - "Physical": 17832, - "olithic": 17833, - "asi": 17834, - "Ġmeg": 17835, - "Ġenjoyment": 17836, - "Ġtokens": 17837, - "Ġpunish": 17838, - "Ġmicroscopic": 17839, - "Pop": 17840, - "Ġpodcast": 17841, - "és": 17842, - "osexual": 17843, - "Ġrevelation": 17844, - "Ġvoted": 17845, - "ĠCyber": 17846, - "dra": 17847, - "Ġdeveloper": 17848, - "Ġregim": 17849, - "Ġdeserves": 17850, - "ĠSusan": 17851, - "ĠCB": 17852, - "aby": 17853, - "ĠClinic": 17854, - "olis": 17855, - "Ġcsv": 17856, - "Ġhed": 17857, - "pleasant": 17858, - "}}": 17859, - "ulatory": 17860, - "Ġinterplay": 17861, - "around": 17862, - "Ġannoy": 17863, - "án": 17864, - "Pos": 17865, - "ĠFif": 17866, - "Ġremainder": 17867, - "м": 17868, - "ULL": 17869, - "Ġwillingness": 17870, - "ĠBart": 17871, - "Question": 17872, - "Ġjustified": 17873, - "scores": 17874, - "(['": 17875, - "bus": 17876, - "ĠAlg": 17877, - "Content": 17878, - "fires": 17879, - "Ġexh": 17880, - "Ġrespecting": 17881, - "Ġcoordinated": 17882, - "Enc": 17883, - "ĠExam": 17884, - "Ġastronauts": 17885, - "Such": 17886, - "Ġnov": 17887, - "Ġtechnically": 17888, - "idis": 17889, - "Ġconvincing": 17890, - "thirds": 17891, - "Ġ\"__": 17892, - "../": 17893, - "rimental": 17894, - "otte": 17895, - "ĠBaltimore": 17896, - "ĠMonitor": 17897, - "Ġspinning": 17898, - "odus": 17899, - "Ġshowcasing": 17900, - "reset": 17901, - "Ġcompressed": 17902, - "Ġinvalid": 17903, - "Ġcreator": 17904, - "ĠPicture": 17905, - "ĠMort": 17906, - "years": 17907, - "Ġspreads": 17908, - "criptions": 17909, - "Ġreinforcing": 17910, - "Pass": 17911, - "vest": 17912, - "Ġalliance": 17913, - "Ġendurance": 17914, - "Ġlovely": 17915, - "ĠFoods": 17916, - "Ġencouragement": 17917, - "ĠBelgium": 17918, - "ateur": 17919, - "Ġtrajectory": 17920, - "Examples": 17921, - "Ġdifferentiate": 17922, - "Ġpetroleum": 17923, - "Ġcandy": 17924, - "hill": 17925, - "Ġsickness": 17926, - "elli": 17927, - "Ġproving": 17928, - "Ġhappier": 17929, - "ĠApplied": 17930, - "ollen": 17931, - "member": 17932, - "ĠML": 17933, - "Ġcommitments": 17934, - "Ġtravelers": 17935, - "Arch": 17936, - "Ġincomplete": 17937, - "Ġfastest": 17938, - "tar": 17939, - "Ġsuccession": 17940, - "ĠIndividuals": 17941, - "Ġwoven": 17942, - "Ġvariance": 17943, - "Ġimpose": 17944, - "Ġemitted": 17945, - "Ġgem": 17946, - "aky": 17947, - "Ġdecimal": 17948, - "helial": 17949, - "actly": 17950, - "ĠVacc": 17951, - "ĠCommunications": 17952, - "Ġschizophrenia": 17953, - "Ġescaped": 17954, - "Ġdissertation": 17955, - "Ġbacks": 17956, - "Ġspirituality": 17957, - "ĠMoz": 17958, - "ribing": 17959, - "Exp": 17960, - "ĠPopular": 17961, - "environment": 17962, - "ĠConversely": 17963, - "ELECT": 17964, - "ĠRoberts": 17965, - "Ġvet": 17966, - "Ġhex": 17967, - "Ġfinishing": 17968, - "ĠChallenge": 17969, - "Ġpainter": 17970, - "Ġling": 17971, - "Ġfluoride": 17972, - "Ġaccounted": 17973, - "Ġbronze": 17974, - "ĠDeg": 17975, - "opause": 17976, - "ĠLen": 17977, - "Ġdominance": 17978, - "Article": 17979, - "cuda": 17980, - "ĠSin": 17981, - "Ġpositioned": 17982, - "without": 17983, - "Ġ{}\".": 17984, - "before": 17985, - "Ġgotten": 17986, - "Ġrecordings": 17987, - "ratulations": 17988, - "Ġcontinental": 17989, - "Ġcollision": 17990, - "Ġbunch": 17991, - "arin": 17992, - "Ġcalculator": 17993, - "Ġassisted": 17994, - "ĠIR": 17995, - "__,": 17996, - "Ġimbalance": 17997, - "semin": 17998, - "erers": 17999, - "Resource": 18000, - "Ġchord": 18001, - "rett": 18002, - "ĠLam": 18003, - "Ġunrest": 18004, - "Ġwithstand": 18005, - "ĠImportant": 18006, - "Ġconserve": 18007, - "ucing": 18008, - "comed": 18009, - "Ġsket": 18010, - "Ġmaritime": 18011, - "Ġpositioning": 18012, - "ĠVarious": 18013, - "Ġthreaten": 18014, - "rene": 18015, - "bola": 18016, - "Ġuncovered": 18017, - "ĠTun": 18018, - "Ġgraduates": 18019, - "Ġconsulting": 18020, - "Ġreminds": 18021, - "Ġmerit": 18022, - "Ġparallels": 18023, - "Additional": 18024, - "variable": 18025, - "ĠEngaging": 18026, - "October": 18027, - "_(": 18028, - "Ġelegant": 18029, - "Ġlad": 18030, - "ĠSierra": 18031, - "ĠUSB": 18032, - "Ġlandmark": 18033, - "wick": 18034, - "wikipedia": 18035, - "Ġcolleague": 18036, - "Ġpromptly": 18037, - "Ġruins": 18038, - "rev": 18039, - "Ġarbitrary": 18040, - "program": 18041, - "ĠBeaut": 18042, - "Service": 18043, - "Ġgrateful": 18044, - "filled": 18045, - "Ġchi": 18046, - "ĠStyle": 18047, - "Ġ((": 18048, - "ĠEra": 18049, - "ycle": 18050, - "Ġvolcano": 18051, - "rob": 18052, - "resolution": 18053, - "ĠVeget": 18054, - "ĠCris": 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"oro": 18105, - "Ġcoefficient": 18106, - "Ġmedi": 18107, - "Ġdisparate": 18108, - "Ġtheft": 18109, - "Ġawards": 18110, - "Ġprophet": 18111, - "Ġlibert": 18112, - "umm": 18113, - "Ġremembering": 18114, - "ĠIM": 18115, - "ĠIg": 18116, - "Ġairplane": 18117, - "ĠPale": 18118, - "ĠBreak": 18119, - "Ġbasketball": 18120, - "Ġexclude": 18121, - "annah": 18122, - "Ġremot": 18123, - "Ġliberation": 18124, - "ĠObservatory": 18125, - "ĠLith": 18126, - "ĠConstant": 18127, - ">,": 18128, - "Ġvisc": 18129, - "Ġindispens": 18130, - "Ġmushrooms": 18131, - "]+": 18132, - "lyn": 18133, - "Ġunrelated": 18134, - "Ġquarters": 18135, - "ĠContinue": 18136, - "Ġwavelength": 18137, - "ĠLate": 18138, - "Ġlegends": 18139, - "media": 18140, - "Ġpsychiatric": 18141, - "Ġlawsu": 18142, - "Ġbonding": 18143, - "uba": 18144, - "ĠReligious": 18145, - "Ġcelestial": 18146, - "otics": 18147, - "Ġthunder": 18148, - "Ġpopulated": 18149, - "icrobial": 18150, - "UB": 18151, - "Ġhurd": 18152, - "Ġresin": 18153, - "lr": 18154, - "ÃŃa": 18155, - "Ġaccumulate": 18156, - "Ġqueue": 18157, - "Ġintentional": 18158, - "ĠBatt": 18159, - "ĠPalace": 18160, - "Ġcatastrophic": 18161, - "Serial": 18162, - "ĠHPV": 18163, - "Ġabbre": 18164, - "ilage": 18165, - "Ġrisky": 18166, - "Ġsafeguard": 18167, - "Ġfacilitates": 18168, - "frac": 18169, - "Ġfasting": 18170, - "ĠSteve": 18171, - "ĠBY": 18172, - "Ġmirrors": 18173, - "utation": 18174, - "hyth": 18175, - "ĠColumbus": 18176, - "Press": 18177, - "Ġbent": 18178, - "chy": 18179, - "Ġdressed": 18180, - "idency": 18181, - "ĠAnthony": 18182, - "Ġemergencies": 18183, - "ocrine": 18184, - "Ġspokes": 18185, - "ĠPerm": 18186, - "ĠHarris": 18187, - "pick": 18188, - "Ġtranslations": 18189, - "Ġtones": 18190, - "ploys": 18191, - "Ġwip": 18192, - "Ġnm": 18193, - "ĠHyp": 18194, - "Ġrestoring": 18195, - "Ġaccumulated": 18196, - "erican": 18197, - "Ġaccomplishments": 18198, - "ĠAlternatively": 18199, - "ĠWelsh": 18200, - "utt": 18201, - "Ġspecifications": 18202, - "dit": 18203, - "ĠBurn": 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"ĠComplete": 18254, - "Ġpassions": 18255, - "ĠLetters": 18256, - "inical": 18257, - "Ġgloss": 18258, - "ĠInvestig": 18259, - "Ġdelightful": 18260, - "Ġprojection": 18261, - "ĠAfricans": 18262, - "ivo": 18263, - "occup": 18264, - "æķ°": 18265, - "Ġleisure": 18266, - "artha": 18267, - "lad": 18268, - "ĠDanish": 18269, - "Ġundergoing": 18270, - "Ġcoalition": 18271, - "buffer": 18272, - "ĠEld": 18273, - "Ġqualify": 18274, - "Ġtransistors": 18275, - "è¿": 18276, - "Gs": 18277, - "Å«": 18278, - "ĠSent": 18279, - "Ġads": 18280, - "__)": 18281, - "Ġteamwork": 18282, - "ĠDesert": 18283, - "Ġgarbage": 18284, - "ĠForces": 18285, - "Ġparenting": 18286, - "Ġquestioned": 18287, - "ĠEnsure": 18288, - "las": 18289, - "binary": 18290, - "ĠPle": 18291, - "}'": 18292, - "ĠKid": 18293, - "Ġlithium": 18294, - "Ġfeared": 18295, - "Ġspanning": 18296, - "inctions": 18297, - "ochemistry": 18298, - "PER": 18299, - "ructions": 18300, - "Ġchromosomes": 18301, - "cpu": 18302, - "Ġhitting": 18303, - "Ġdefinitive": 18304, - "Ġdub": 18305, - "Ġformulas": 18306, - "Ġtimeless": 18307, - "ĠIncreased": 18308, - "EXT": 18309, - "å®": 18310, - "uffle": 18311, - "ĠPsychological": 18312, - "osaic": 18313, - "Ġequip": 18314, - "Ġimproper": 18315, - "ĠAlmost": 18316, - "Ġaccessing": 18317, - "ĠCommunities": 18318, - "icus": 18319, - "Contact": 18320, - "ĠPand": 18321, - "ĠThinking": 18322, - "Ġkindergarten": 18323, - "ĠInnovation": 18324, - "Ġvoc": 18325, - "Ġrotating": 18326, - "compat": 18327, - "Ġobey": 18328, - "__()": 18329, - "Ġphysiology": 18330, - "swith": 18331, - "Ġultra": 18332, - ".**": 18333, - ".[": 18334, - "NC": 18335, - "Ġ'_": 18336, - "ĠNepal": 18337, - "Ġwedding": 18338, - "Ġgrinding": 18339, - "Ġamend": 18340, - "Ġbrack": 18341, - "ĠKeeping": 18342, - "osterone": 18343, - "Ġpdf": 18344, - "Ġchickens": 18345, - "Ġyogurt": 18346, - "summary": 18347, - "Ġsteadily": 18348, - "Jew": 18349, - "Ġcomprising": 18350, - "Ġcongress": 18351, - "icularly": 18352, - "Ġsecretary": 18353, - "Ġgenerous": 18354, - "Ġgolf": 18355, - "optional": 18356, - "Ġmate": 18357, - "environ": 18358, - "isers": 18359, - "Ġpolyn": 18360, - "Ġrated": 18361, - "Ġaccountable": 18362, - "Ġvulnerabilities": 18363, - "raviolet": 18364, - "NASA": 18365, - "Ġtours": 18366, - "hex": 18367, - "Ġamendment": 18368, - "ĠIL": 18369, - "ockey": 18370, - "Ġhelic": 18371, - "ĠBerg": 18372, - "Ġstudio": 18373, - "Ġeruption": 18374, - "Ġfabrics": 18375, - "Ġtran": 18376, - "Ġerupt": 18377, - "ĠEngineers": 18378, - "ĠVar": 18379, - "./": 18380, - "Ġrobotic": 18381, - "correct": 18382, - "ĠBrief": 18383, - "Ġinvestigators": 18384, - "ĠSW": 18385, - "ĠDh": 18386, - "Ġimplants": 18387, - "Ġrepetition": 18388, - "astical": 18389, - "ĠLeadership": 18390, - "ĠXML": 18391, - "Ġconsequently": 18392, - "Ġpreceding": 18393, - "liness": 18394, - "Ġ\"-": 18395, - "Ġasyn": 18396, - "Ġunh": 18397, - "Ġuphold": 18398, - "Ġturbine": 18399, - "Ġyesterday": 18400, - "Ġteasp": 18401, - "ĠArkansas": 18402, - "System": 18403, - "Ġscaling": 18404, - "Ġinherently": 18405, - "ĠReports": 18406, - "Ġsprings": 18407, - "Ñĭ": 18408, - "published": 18409, - "Ġstance": 18410, - "ĠFab": 18411, - "orting": 18412, - "Ġrealities": 18413, - "prising": 18414, - "Ġrealism": 18415, - "Ġresponsive": 18416, - "ĠOrigins": 18417, - "Ġtwin": 18418, - "Ġtranslates": 18419, - "Ġcomprise": 18420, - "Ġworm": 18421, - "anyon": 18422, - "Ġperfection": 18423, - "Ġreviewers": 18424, - "Ġepile": 18425, - "Ġhurricane": 18426, - "ĠTar": 18427, - "ĠAddress": 18428, - "Ġdisplaying": 18429, - "Ġforgiveness": 18430, - "many": 18431, - "ilk": 18432, - "emade": 18433, - ")+": 18434, - "Ġtin": 18435, - "ĠSeven": 18436, - "safe": 18437, - "Ġaccelerated": 18438, - "Ġscared": 18439, - "Ġeditorial": 18440, - "Ġwrist": 18441, - "Ġunpleasant": 18442, - "Core": 18443, - "Ġesoph": 18444, - "ĠNAT": 18445, - "Ġapparatus": 18446, - "ĠGate": 18447, - "dup": 18448, - "pix": 18449, - "ctory": 18450, - "ĠFROM": 18451, - "ĠChris": 18452, - "heim": 18453, - "Description": 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"ĠArtificial": 18600, - "Ġì": 18601, - "Ġcentr": 18602, - "Ġpsychologist": 18603, - "Ġradicals": 18604, - "kn": 18605, - "Ġrope": 18606, - "ĠTransportation": 18607, - "Ġonions": 18608, - "ĠOral": 18609, - "ĠInternal": 18610, - "Ġpilots": 18611, - "ĠAvenue": 18612, - "Ġclinicians": 18613, - "å¤": 18614, - "stick": 18615, - "Ġparasite": 18616, - "Ġciting": 18617, - "Ġdeposited": 18618, - "Ġfloors": 18619, - "ĠNam": 18620, - "Block": 18621, - "plication": 18622, - "ĠClinton": 18623, - "ÏĤ": 18624, - "colors": 18625, - "Ġethanol": 18626, - "degree": 18627, - "Ġsmiled": 18628, - "White": 18629, - "ĠLA": 18630, - "Ġpancreat": 18631, - "Ġinexpensive": 18632, - "ĠYang": 18633, - "Ġstrengthens": 18634, - "Ġlifespan": 18635, - "Ġenergies": 18636, - "oic": 18637, - "Ġdigits": 18638, - "Ġvaccinated": 18639, - "Instead": 18640, - "Ġgenius": 18641, - "Ġnails": 18642, - "Ġclinics": 18643, - "ĠSuppose": 18644, - "ä½": 18645, - "Ġthirst": 18646, - "carbon": 18647, - "Ġcarrots": 18648, - "Ġinhabited": 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"Almost": 18700, - "ĠIllust": 18701, - "Ġobscure": 18702, - "ogeneous": 18703, - "Ġprobable": 18704, - "Ġpursued": 18705, - "Ġcoherent": 18706, - "ĠPriv": 18707, - "ÏĢ": 18708, - "ĠArticles": 18709, - "ĠTip": 18710, - "ĠRailroad": 18711, - "Ġlubric": 18712, - "Bs": 18713, - "ĠSubst": 18714, - "Ġactivist": 18715, - "Ġproportional": 18716, - "Ġcigarette": 18717, - "ĠDiversity": 18718, - "pection": 18719, - "Ġpottery": 18720, - "Ġhorror": 18721, - "ĠSubject": 18722, - "Ġcleared": 18723, - "Ġneglected": 18724, - "Design": 18725, - "Ġnationalism": 18726, - "hou": 18727, - "Published": 18728, - "Ġward": 18729, - "Ġworkout": 18730, - "Ġrepeating": 18731, - "Ġconfidently": 18732, - "Ġdeceased": 18733, - "ften": 18734, - "ĠMorgan": 18735, - "ür": 18736, - "ean": 18737, - "ĠLanka": 18738, - "Prim": 18739, - "Ġsewage": 18740, - "Ġcompetent": 18741, - "ĠJuan": 18742, - "Ġcorporation": 18743, - "Ġ[-": 18744, - "Ġevaluations": 18745, - "ĠJos": 18746, - "Ġbelly": 18747, - "Ġsusceptibility": 18748, - 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"verbal": 19450, - "ificance": 19451, - "Ġcredited": 19452, - "Ġfellows": 19453, - "gone": 19454, - "ĠNavigating": 19455, - "oS": 19456, - "ĠAdjust": 19457, - "Ġhoused": 19458, - "Ġowing": 19459, - "Ġanonymous": 19460, - "Ġhonour": 19461, - "ĠEncouraging": 19462, - "dings": 19463, - "Ġgospel": 19464, - "essed": 19465, - "ĠFamilies": 19466, - "rators": 19467, - "Ġseals": 19468, - "Ġupwards": 19469, - "ĠHealthcare": 19470, - "ĠUkrain": 19471, - "Ġfirsthand": 19472, - "Ġobservers": 19473, - "Ġsupreme": 19474, - "kill": 19475, - "ĠPapers": 19476, - "growth": 19477, - "ĠMade": 19478, - "Ġnonfiction": 19479, - "cott": 19480, - "ĠWol": 19481, - "assed": 19482, - "Ġsuccessive": 19483, - "Ġconcise": 19484, - "Ġsuspension": 19485, - "arange": 19486, - "uder": 19487, - "dump": 19488, - "frames": 19489, - "ĠMis": 19490, - "Ġsupplementation": 19491, - "Ġnaming": 19492, - "ĠGenetic": 19493, - "Ġfragment": 19494, - "geo": 19495, - "oske": 19496, - "Ġperv": 19497, - "ĠNorwegian": 19498, - 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23221, - "ĠMiami": 23222, - "Ġeps": 23223, - "Ġappre": 23224, - "Ġchairman": 23225, - "bishop": 23226, - "âĨ": 23227, - "iculture": 23228, - "balanced": 23229, - "aton": 23230, - "ĠPradesh": 23231, - "urer": 23232, - "rigger": 23233, - "ĠNT": 23234, - "Ġprecursor": 23235, - "nee": 23236, - "Ġnonetheless": 23237, - "ĠNeeds": 23238, - "unittest": 23239, - "ĠDys": 23240, - "ĠVit": 23241, - "Ġoffenders": 23242, - "prev": 23243, - "ĠSteven": 23244, - "Ġshuttle": 23245, - "Ġphysicists": 23246, - "Ġpant": 23247, - "Ġreminiscent": 23248, - "Ġtenth": 23249, - "Ġauction": 23250, - "Ġmonster": 23251, - "Ġoriginating": 23252, - "Ġconcentrating": 23253, - "lia": 23254, - "Ġcomposting": 23255, - "Ġgraphene": 23256, - "lycer": 23257, - "Ġspecifies": 23258, - "ĠExpect": 23259, - "Optional": 23260, - "Ġimprisonment": 23261, - "Ġprepares": 23262, - "Ġnicely": 23263, - "Ġtorque": 23264, - "ĠCambodia": 23265, - "lasses": 23266, - "Ox": 23267, - "Ġanalysed": 23268, - "Ġexceeding": 23269, - "Ġeruptions": 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"ĠLancet": 26352, - "uously": 26353, - "ĠLux": 26354, - "Ġquarant": 26355, - "Ġdemise": 26356, - "ĠPod": 26357, - "ĠAlgebra": 26358, - "Ġcracking": 26359, - "Ġattachments": 26360, - "official": 26361, - "Ġirreversible": 26362, - "oped": 26363, - "ère": 26364, - "Ġhath": 26365, - "vered": 26366, - "formal": 26367, - "Ġexcavated": 26368, - "later": 26369, - "ĠVlad": 26370, - "ĠImam": 26371, - "Ġboarding": 26372, - "ĠSocialist": 26373, - "Ġliabilities": 26374, - "Ġsubgen": 26375, - "Ġcrabs": 26376, - "ĠInteractive": 26377, - "ĠSpeaking": 26378, - "protocol": 26379, - "Focus": 26380, - "Ġspills": 26381, - "identified": 26382, - "ĠAuton": 26383, - "Ġinsignificant": 26384, - "City": 26385, - "wx": 26386, - "¢": 26387, - "Ġbrightly": 26388, - "Ġrestart": 26389, - "Ġtroubled": 26390, - "Ġhonors": 26391, - "hov": 26392, - "Ġbizarre": 26393, - "idates": 26394, - "ĠRy": 26395, - "INTER": 26396, - "Ġtoug": 26397, - "ĠHabitat": 26398, - "ĠProbably": 26399, - "Ġreclaim": 26400, - "raz": 26401, - 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"raisal": 26503, - "ĠMakes": 26504, - "Ġdepended": 26505, - "Ġinitialize": 26506, - "ĠObst": 26507, - "ĠEnterprise": 26508, - "ĠJur": 26509, - "Ġrapp": 26510, - "Ġbreadth": 26511, - "lining": 26512, - "Ġinactive": 26513, - "ĠOdys": 26514, - "ĠRunning": 26515, - "Ġdias": 26516, - "playing": 26517, - "Ġplugin": 26518, - "æł": 26519, - "Ġdeed": 26520, - "ĠShell": 26521, - "tax": 26522, - "Ġmiracul": 26523, - "Need": 26524, - "linalg": 26525, - "ouched": 26526, - "need": 26527, - "Ġparticulate": 26528, - "productive": 26529, - "ĠSpringer": 26530, - "ĠPharmac": 26531, - "Ca": 26532, - "Give": 26533, - "Ġdyst": 26534, - "ĠTopic": 26535, - "soil": 26536, - "Ġdirecting": 26537, - "Ġglowing": 26538, - "Ġcaterpillars": 26539, - "strings": 26540, - "ĠAttention": 26541, - "Ġseller": 26542, - "Ġembedding": 26543, - "Ġinconven": 26544, - "ĠGilbert": 26545, - "templ": 26546, - "ë": 26547, - "Ġery": 26548, - "Ġinception": 26549, - "ogh": 26550, - "Ġscav": 26551, - "Ġdengue": 26552, - "Ġsurrounds": 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"integration": 26653, - "Ġcousins": 26654, - "pit": 26655, - "Ġjeopard": 26656, - "Ġpeasant": 26657, - "ĠMAT": 26658, - "plasia": 26659, - "Prog": 26660, - "Ġpitfalls": 26661, - "ogeneity": 26662, - "iman": 26663, - "Ġstuffed": 26664, - "ĠMapping": 26665, - "ĠOCD": 26666, - "liable": 26667, - "Ġrestricting": 26668, - "Ġdisrupting": 26669, - "Bad": 26670, - "ĠEdmund": 26671, - "ĠDrop": 26672, - "Ġprefers": 26673, - "ĠInfection": 26674, - "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 26675, - "Sarah": 26676, - "Ġgenerosity": 26677, - "locations": 26678, - "Ġpalms": 26679, - "aggering": 26680, - "cook": 26681, - "ĠAffect": 26682, - "Ġplaster": 26683, - "ĠRobin": 26684, - "ĠNormally": 26685, - "Ġcounteract": 26686, - "Schema": 26687, - "Tip": 26688, - "Ġrealms": 26689, - "ushima": 26690, - "Ġrepeats": 26691, - "Native": 26692, - "Ġwithdrawn": 26693, - "Ġmicron": 26694, - "];": 26695, - "Ġmustard": 26696, - "º": 26697, - "ĠSmoking": 26698, - "Ġglyc": 26699, - 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"ĠCorrect": 26800, - "Ġimmersed": 26801, - "does": 26802, - "imshow": 26803, - "Ġspam": 26804, - "ĠKB": 26805, - "Ġairflow": 26806, - "ĠIDE": 26807, - "Ġpertains": 26808, - "Ġgrav": 26809, - "Ġsupplemental": 26810, - "allowed": 26811, - "ĠComponents": 26812, - "Ġaided": 26813, - "Ġoath": 26814, - "Ġhues": 26815, - "ĠAlger": 26816, - "Ġbrushes": 26817, - "Ġibn": 26818, - "ĠCONDITIONS": 26819, - "Ġsi": 26820, - "ĠGust": 26821, - "]|": 26822, - "asus": 26823, - "ĠMall": 26824, - "Ġprisons": 26825, - "MES": 26826, - "Ġexcluding": 26827, - "abling": 26828, - "acillus": 26829, - "ĠBO": 26830, - "posite": 26831, - "Ġtransformer": 26832, - "Ġrewarded": 26833, - "Benefits": 26834, - "á½": 26835, - "arner": 26836, - "Ġbooster": 26837, - "Ġnickname": 26838, - "Left": 26839, - "etz": 26840, - "ĠOUT": 26841, - "Ġconserved": 26842, - "Hi": 26843, - "nament": 26844, - "Ġchin": 26845, - "byte": 26846, - "ĠMonument": 26847, - "Compar": 26848, - "ĠCapitol": 26849, - "Ġalgebraic": 26850, - "itian": 26851, - "ĠInclude": 26852, - "Ġfarmland": 26853, - "osphate": 26854, - "Ġtowels": 26855, - "ĠPalestinians": 26856, - "ĠYellowstone": 26857, - "Ġnemat": 26858, - "Ġdisclose": 26859, - "Ġcircumstance": 26860, - "America": 26861, - "Ġsyllables": 26862, - "Mex": 26863, - "arist": 26864, - "endpoint": 26865, - "ĠGraduate": 26866, - "Ġventures": 26867, - "Meet": 26868, - "directed": 26869, - "Ġrefreshing": 26870, - "andel": 26871, - "assy": 26872, - "ĠVes": 26873, - "etyl": 26874, - "ĠPCB": 26875, - "Ġilluminating": 26876, - "ingling": 26877, - "ĠMM": 26878, - "ĠFant": 26879, - "Ġdrums": 26880, - "Ġcysts": 26881, - "ĠBlake": 26882, - "ĠDrink": 26883, - "Ġmixtures": 26884, - "Ġspelled": 26885, - "ĊĊĊĠĠĠĠĠĠĠ": 26886, - "Ġshareholders": 26887, - "Vector": 26888, - "Ġquart": 26889, - "ĠLeaders": 26890, - "anism": 26891, - "Ġantit": 26892, - "Ġfrontal": 26893, - "Ġwiki": 26894, - "Ġdecolon": 26895, - "Ġvisuals": 26896, - "ĠCollections": 26897, - "Gal": 26898, - "pipe": 26899, - "yrin": 26900, - "Ġsmoother": 26901, - ")')": 26902, - "Email": 26903, - "Finding": 26904, - "ĠMold": 26905, - "Ġcohesive": 26906, - "ĠGenome": 26907, - "Ġmanifested": 26908, - "Ġsuspects": 26909, - "Calcul": 26910, - "Ġrefinement": 26911, - "Ġstray": 26912, - "()):": 26913, - "accessible": 26914, - "ĠTheodore": 26915, - "linspace": 26916, - "raines": 26917, - "ĠMira": 26918, - "floor": 26919, - "Ġdrafting": 26920, - "Ġcuring": 26921, - "arate": 26922, - "akening": 26923, - "Ġradically": 26924, - "Ċĉĉĉĉĉĉĉĉĉĉ": 26925, - "Xiv": 26926, - "Ġencountering": 26927, - "ugged": 26928, - "actively": 26929, - "incinn": 26930, - "Ġseawater": 26931, - "asgow": 26932, - "dry": 26933, - "umbs": 26934, - "updated": 26935, - "Ġdescending": 26936, - "Ġeconomist": 26937, - "Ġtermination": 26938, - "Ġlaborers": 26939, - "ĠFran": 26940, - "Ġnested": 26941, - "Ġgrit": 26942, - "Ġhen": 26943, - "Ġartific": 26944, - "Ġtranscends": 26945, - "Ġneatly": 26946, - "Ġcanonical": 26947, - "oing": 26948, - "Ġmorb": 26949, - "Ġdyslexia": 26950, - "个": 26951, - "Ġdisparity": 26952, - "uling": 26953, - "Ġpermiss": 26954, - "ĠDomain": 26955, - "ĠDiagnosis": 26956, - "Ġplateau": 26957, - "ĠNeuroscience": 26958, - "arers": 26959, - "ĠTrack": 26960, - "oseph": 26961, - "Parameters": 26962, - "Ġutterly": 26963, - "Ġpatented": 26964, - "Ġlice": 26965, - "Previous": 26966, - "Ġtracts": 26967, - "nem": 26968, - "Ġum": 26969, - "Ġpatriot": 26970, - "ĠGabriel": 26971, - "jug": 26972, - "Ġharmonic": 26973, - "Ġhalfway": 26974, - "Ġbake": 26975, - "omp": 26976, - "Ġmediated": 26977, - "Ġassociates": 26978, - "Ġscriptures": 26979, - "ĠAdventure": 26980, - "ĠKrishna": 26981, - "marg": 26982, - "Ġugly": 26983, - "ĠCraig": 26984, - "Person": 26985, - "å°": 26986, - "Ġdaring": 26987, - "staff": 26988, - "Ġseize": 26989, - "ĠNegative": 26990, - "Ġavocado": 26991, - "ĠAppendix": 26992, - "Ġfreshly": 26993, - "Ġcatastrophe": 26994, - "Ġreferend": 26995, - "Ġspells": 26996, - "ophone": 26997, - "runner": 26998, - "Far": 26999, - "osin": 27000, - "ĠWald": 27001, - "ĠRwanda": 27002, - "Ġjumps": 27003, - "Ġresistor": 27004, - "Ġmountainous": 27005, - "ĠChang": 27006, - "Prob": 27007, - "Ġbureauc": 27008, - "Ġsine": 27009, - "placed": 27010, - "ि": 27011, - "GF": 27012, - "Germ": 27013, - "acl": 27014, - "iban": 27015, - "Ġjars": 27016, - "Inv": 27017, - "paramet": 27018, - "Ġfamiliarize": 27019, - "ĠBASIS": 27020, - "verter": 27021, - "perhaps": 27022, - "Ġrenewables": 27023, - "ĠInfluence": 27024, - "Sen": 27025, - "iteration": 27026, - "Ġconsumes": 27027, - "ĠMuscle": 27028, - "ĠFeeling": 27029, - "Ġcue": 27030, - "Ġblends": 27031, - "oxins": 27032, - "Ġmandated": 27033, - "osome": 27034, - "holding": 27035, - "Ġarranging": 27036, - "Arthur": 27037, - "ĠProcesses": 27038, - "ERSION": 27039, - "...,": 27040, - "letters": 27041, - "ĠEmpower": 27042, - "ĠEfficiency": 27043, - "Ġdisposition": 27044, - "ronts": 27045, - "Ġgenders": 27046, - "rapeutic": 27047, - "thinking": 27048, - "aclass": 27049, - "Ġturnover": 27050, - "ĠSacred": 27051, - "Mill": 27052, - "WD": 27053, - "Ã¥": 27054, - "Ġranc": 27055, - "Ġanatomical": 27056, - "wire": 27057, - "ĠCul": 27058, - "Ġreliably": 27059, - "Ġamen": 27060, - "endswith": 27061, - "Ġkale": 27062, - "Ġreadable": 27063, - "guided": 27064, - "ĠFul": 27065, - "maybe": 27066, - "Ġtilt": 27067, - "Ġoranges": 27068, - "ĠStars": 27069, - "Ġinitiating": 27070, - "Ġlingering": 27071, - "ucaly": 27072, - "Ġobjection": 27073, - "assertIs": 27074, - "Ġintrospection": 27075, - "ĠCarr": 27076, - "photo": 27077, - "Ġdiffuse": 27078, - "Ġdepiction": 27079, - "chip": 27080, - "Ġsting": 27081, - "ĠSax": 27082, - "acic": 27083, - "ĠKepler": 27084, - "ABILITY": 27085, - "Ġintimidating": 27086, - "Ġsuperheroes": 27087, - "Ġaccredited": 27088, - "Ġtheat": 27089, - "Ġavian": 27090, - "ischer": 27091, - "ĠAttorney": 27092, - "ĠMunich": 27093, - "ipelago": 27094, - "ĠOste": 27095, - "Ġseminars": 27096, - "flatten": 27097, - "âĹı": 27098, - "bred": 27099, - "bows": 27100, - "ĠCopenhagen": 27101, - "resa": 27102, - "Ġevergreen": 27103, - "Ġpronouns": 27104, - "Ġechoes": 27105, - "ĠIan": 27106, - "Ġprosecution": 27107, - "ĠHaven": 27108, - "Ġauthorization": 27109, - "Ġterminals": 27110, - "Ġpolyg": 27111, - "Ġartifact": 27112, - "Ġadhesion": 27113, - "CRE": 27114, - "ĠPediatric": 27115, - "traumatic": 27116, - "ĠCBT": 27117, - "asha": 27118, - "ĠPlat": 27119, - "Ġdisciplinary": 27120, - "Ġalteration": 27121, - "ĠSandy": 27122, - "adows": 27123, - "Ġvicious": 27124, - "ĠUI": 27125, - "Ġconstrained": 27126, - "Ġimb": 27127, - "Ġpreaching": 27128, - "impact": 27129, - "Ġprogen": 27130, - "shared": 27131, - "Ġcracked": 27132, - "Books": 27133, - "awk": 27134, - "Exercise": 27135, - "BU": 27136, - "Remove": 27137, - "Ġneuronal": 27138, - "ĠScriptures": 27139, - "Japanese": 27140, - "ï¬ģ": 27141, - "Sep": 27142, - "atology": 27143, - "Ġreap": 27144, - "Ġ()": 27145, - "Ġjur": 27146, - "Ġdowns": 27147, - "Price": 27148, - "ĠSV": 27149, - "Ġperce": 27150, - 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29872, - "Ġrevisit": 29873, - "bag": 29874, - "dic": 29875, - "Ġhides": 29876, - "Ġthromb": 29877, - "ipot": 29878, - "veniles": 29879, - "Ġviolin": 29880, - "amburg": 29881, - "ĠMemphis": 29882, - "lv": 29883, - "ĠDS": 29884, - "Ġtrimes": 29885, - "Ġprecaution": 29886, - "Values": 29887, - "Ġuterine": 29888, - "Ġtetra": 29889, - "Ġmarshes": 29890, - "Ġgru": 29891, - "Ġcaption": 29892, - "ĠComing": 29893, - "Ġfireworks": 29894, - "ĠSOFTWARE": 29895, - "Ġattributable": 29896, - "istries": 29897, - "Ġpitu": 29898, - "Ġrevolves": 29899, - "ĠConservative": 29900, - "ĠAe": 29901, - "ĠCer": 29902, - "Ġemblem": 29903, - "Ġthinning": 29904, - "Ġfountain": 29905, - "aksh": 29906, - "ĠBlind": 29907, - "ĠSquad": 29908, - "Ġarte": 29909, - "uttering": 29910, - "Ġantigens": 29911, - "sid": 29912, - "otoxic": 29913, - "ĠLav": 29914, - "ĠGlac": 29915, - "Ġguessing": 29916, - "ãĢģ": 29917, - "ĠPictures": 29918, - "Rele": 29919, - "ĠWiki": 29920, - "arynge": 29921, - "listdir": 29922, - "Ġbleach": 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"Diet": 30272, - "ζ": 30273, - "roly": 30274, - "Ġperfor": 30275, - "metal": 30276, - "ĠSlave": 30277, - "Ġgracefully": 30278, - "Ġneurotransmitters": 30279, - "ĠCin": 30280, - "geometry": 30281, - "ogas": 30282, - "Ġsunk": 30283, - "ĠSerge": 30284, - "ĠKenneth": 30285, - "ĠDuncan": 30286, - "Ġmisconduct": 30287, - "near": 30288, - "ĠNu": 30289, - "Ġplac": 30290, - "Ġsmiling": 30291, - "filtered": 30292, - "Ġpersuaded": 30293, - "Ġgrooming": 30294, - "Ġicy": 30295, - "ĠPrel": 30296, - "ĠDy": 30297, - ".....": 30298, - "ERN": 30299, - "Ray": 30300, - "Ġincision": 30301, - "Ġdirects": 30302, - "Ġnarrowing": 30303, - "Ġdesperately": 30304, - "mort": 30305, - "orean": 30306, - "Ġinvoked": 30307, - "ĠShop": 30308, - "Ġeldest": 30309, - "Earl": 30310, - "agara": 30311, - "Ġimprint": 30312, - "Ġxen": 30313, - "čĊčĊĠĠĠĠĠĠĠĠĠĠĠ": 30314, - "ĠBrooks": 30315, - "MODEL": 30316, - "Typ": 30317, - "kov": 30318, - "abetics": 30319, - "Ġmoods": 30320, - "ĠMeditation": 30321, - "Ġobservance": 30322, - 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"HOST": 30373, - "Ġimprovis": 30374, - "Ġdevastation": 30375, - "Points": 30376, - "Ġenlightened": 30377, - "another": 30378, - "ĠTale": 30379, - "Ġliters": 30380, - "rhosis": 30381, - "Ġ(~": 30382, - "COMP": 30383, - "rotation": 30384, - "igmatic": 30385, - "Feeling": 30386, - "ĠIntroducing": 30387, - "san": 30388, - "virus": 30389, - "Ġtempted": 30390, - "IntegerField": 30391, - "NOTE": 30392, - "KD": 30393, - "dynamic": 30394, - "Ö¸": 30395, - "ĠIcon": 30396, - "cycles": 30397, - "Ġsimmer": 30398, - "ĠCalif": 30399, - "Ġspotting": 30400, - "Ġcentrifug": 30401, - "Ġhelpers": 30402, - "HOW": 30403, - "multiple": 30404, - "ĠRebellion": 30405, - "Greek": 30406, - "LT": 30407, - "ĠSou": 30408, - "Ġexternally": 30409, - "ĠBacon": 30410, - "Ġclone": 30411, - "omencl": 30412, - "ĠBlockchain": 30413, - "ascii": 30414, - "ĠLact": 30415, - "achy": 30416, - "ĠRespond": 30417, - "ĠMint": 30418, - "Ġhyperactivity": 30419, - "Neuro": 30420, - "ĠSEO": 30421, - "Ġrivalry": 30422, - "WHAT": 30423, - 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30571, - "Ġlibrarians": 30572, - "Ġreplica": 30573, - "Tex": 30574, - "solution": 30575, - "('_": 30576, - "ĠResilience": 30577, - "ĠPhone": 30578, - "Ġfurnished": 30579, - "predictions": 30580, - "à¥ĩ": 30581, - "Ġbullied": 30582, - "ĠBeauty": 30583, - "Ġpragmatic": 30584, - "ĠKarn": 30585, - "ermal": 30586, - "Ġtrek": 30587, - "Ġwheelchair": 30588, - "ĠLiberation": 30589, - "ĠPhotoshop": 30590, - "Ġflattened": 30591, - "ĠPyramid": 30592, - "Ġpledged": 30593, - "Ġpredation": 30594, - "Ġfloats": 30595, - "Ġtorped": 30596, - "Ġqueens": 30597, - "Ġorchestr": 30598, - "Ġpatriarchal": 30599, - "Boolean": 30600, - "trial": 30601, - "atoms": 30602, - "ĠOst": 30603, - "ensure": 30604, - "Ġcarrot": 30605, - "Ġparaly": 30606, - "ĠPerman": 30607, - "hya": 30608, - "ĠKindergarten": 30609, - "Ġpilgrims": 30610, - "Pet": 30611, - "fishing": 30612, - "verify": 30613, - "iku": 30614, - "ĠEvangel": 30615, - "Ġprevailed": 30616, - "ĠNicarag": 30617, - "ĠKitchen": 30618, - "ĠBS": 30619, - "ĠWalking": 30620, - "orithms": 30621, - "Genesis": 30622, - "Ġheterogeneous": 30623, - "------------------------------": 30624, - "Ġfauc": 30625, - "ĠFrame": 30626, - "neutral": 30627, - "Ġapopt": 30628, - "ĠHazard": 30629, - "walks": 30630, - "ĠHepatitis": 30631, - "dala": 30632, - "ethnic": 30633, - "Ġfluent": 30634, - "bladder": 30635, - "Ġallergen": 30636, - "ĠTorres": 30637, - "ĠAtomic": 30638, - "ieties": 30639, - "Ġstricter": 30640, - "dk": 30641, - "ingo": 30642, - "Ġanalyzes": 30643, - "Ġrotational": 30644, - "ĠLocke": 30645, - "Ġpalsy": 30646, - "itability": 30647, - "chle": 30648, - "Introdu": 30649, - "Ġselves": 30650, - "Ġrecruiting": 30651, - "uschwitz": 30652, - "Ġconject": 30653, - "ĠPill": 30654, - "Ġjog": 30655, - "ĠJohnston": 30656, - "ĠGenerate": 30657, - "न": 30658, - "ĠGiov": 30659, - "ï¸": 30660, - "ĠâĢľ[": 30661, - "ĠMonroe": 30662, - "ĠReduced": 30663, - "Ġantennas": 30664, - "ĠUCLA": 30665, - "Ġtectonic": 30666, - "thermal": 30667, - "Ġstrata": 30668, - "Ġfeeders": 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"ĠBug": 31908, - "emeter": 31909, - "Ġrealizes": 31910, - "Ġconspicuous": 31911, - "ĠPlateau": 31912, - "Hyper": 31913, - "ĠVikings": 31914, - "Ġpc": 31915, - "stated": 31916, - "ondo": 31917, - "Ġpredefined": 31918, - "olytic": 31919, - "Ġpicnic": 31920, - "Ġinterstellar": 31921, - "Ġsophistication": 31922, - "Ġlords": 31923, - "ĠMales": 31924, - "Ġsoaked": 31925, - "Ġsympath": 31926, - "ALS": 31927, - "ĠExtreme": 31928, - "Ġharmoniously": 31929, - "Ġlawns": 31930, - "Growing": 31931, - "walls": 31932, - "à¹": 31933, - "atan": 31934, - "Ġfibrous": 31935, - "Ġferry": 31936, - "ĠParadise": 31937, - "Soci": 31938, - "esch": 31939, - "alignment": 31940, - "Ġhooked": 31941, - "quote": 31942, - "Ġinferred": 31943, - "ĠAdolesc": 31944, - "Ġkillings": 31945, - "Ġmentorship": 31946, - "Ġnomadic": 31947, - "Ġsteroid": 31948, - "WM": 31949, - "farm": 31950, - "ordable": 31951, - "Ġargumentative": 31952, - "Ġκ": 31953, - "ĠAccel": 31954, - "Ġdiaspora": 31955, - "gap": 31956, - "umni": 31957, - 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- "Ġmango": 32059, - "Ġcondensed": 32060, - "ĠCombined": 32061, - "ĠCitizen": 32062, - "enta": 32063, - "ĠTub": 32064, - "ĠPew": 32065, - "Ġchili": 32066, - "Ġtablespoons": 32067, - "planned": 32068, - "ĠChad": 32069, - "Ġfacto": 32070, - "Ġunsustainable": 32071, - "ĠPainting": 32072, - "Ġfronts": 32073, - "elin": 32074, - "assis": 32075, - "Ġpartnered": 32076, - "Ġlogos": 32077, - "ĠLeone": 32078, - "ĠNorthwestern": 32079, - "Adding": 32080, - "Ġmethylation": 32081, - "ĠAlbany": 32082, - "velocity": 32083, - "aseous": 32084, - "Ġsocialization": 32085, - "Ġcalend": 32086, - "polar": 32087, - "ĠPropag": 32088, - "Ġtrimester": 32089, - "å¹": 32090, - "Ġreds": 32091, - "ĠBoh": 32092, - "bsp": 32093, - "ATER": 32094, - "ĠElectronics": 32095, - "Ġshutdown": 32096, - "Ġfederally": 32097, - "Ġlumbar": 32098, - "ocument": 32099, - "Ġintangible": 32100, - "ĠThirty": 32101, - "ĠNotable": 32102, - "Ġcollateral": 32103, - "Ġunwavering": 32104, - "Ġswallowed": 32105, - "ĠFeedback": 32106, - "oscience": 32107, - "ĠTeeth": 32108, - "Ġsymbolizing": 32109, - "Bu": 32110, - "Ġhometown": 32111, - "Ġinterfer": 32112, - "Ġcreams": 32113, - "Stress": 32114, - "apsing": 32115, - "gui": 32116, - "Ġblew": 32117, - "ĠENUM": 32118, - "ĠDialogue": 32119, - "having": 32120, - "wers": 32121, - "Ñħ": 32122, - "Ġtier": 32123, - "Ġnormalization": 32124, - "omenclature": 32125, - "Camp": 32126, - "Ġinline": 32127, - "ĠChal": 32128, - "Ġchoir": 32129, - "Ġgeese": 32130, - "ANN": 32131, - "ĠSchmidt": 32132, - "ĠTypical": 32133, - "utc": 32134, - "Sea": 32135, - "Ġpreschoolers": 32136, - "Ġsleeves": 32137, - "Heb": 32138, - "Si": 32139, - "TEM": 32140, - "Ġpenny": 32141, - "Ġnat": 32142, - "Ġheats": 32143, - "Ġincurred": 32144, - "Ġlaure": 32145, - "ĠMarines": 32146, - "Ġprogressing": 32147, - "ĠWriter": 32148, - "ĠSubstance": 32149, - "Agent": 32150, - "Ġcondu": 32151, - "Animal": 32152, - "ĠRegistry": 32153, - "transfer": 32154, - "Spring": 32155, - "apon": 32156, - "Ġpuzzled": 32157, - "ĠSnake": 32158, - "Ġpropriet": 32159, - "Jack": 32160, - "MAR": 32161, - "Ġfoc": 32162, - "ĠCred": 32163, - "esthesia": 32164, - "ĠWinston": 32165, - "indent": 32166, - "ĠSwitch": 32167, - "multip": 32168, - "ncbi": 32169, - "ĠIB": 32170, - "osine": 32171, - "Ġattire": 32172, - "uchi": 32173, - "ĠIsles": 32174, - "ĠSurround": 32175, - "zu": 32176, - "ĠCasc": 32177, - "ĠPool": 32178, - "ptics": 32179, - "Ġkicked": 32180, - "ĠPutting": 32181, - "rr": 32182, - "Ġcate": 32183, - "strom": 32184, - "Ġflocks": 32185, - "Ġpolys": 32186, - "ĠCreativity": 32187, - "PDATE": 32188, - "Ġhydroelectric": 32189, - "Ġelectrically": 32190, - "Ġviz": 32191, - "iret": 32192, - "tole": 32193, - "Ġprobiotic": 32194, - "Isa": 32195, - "roles": 32196, - "ampton": 32197, - "ĠCrom": 32198, - "Ġwarp": 32199, - "ĠCanterbury": 32200, - "Ġdivinity": 32201, - "Ġdean": 32202, - "ĠSioux": 32203, - "ĠPVC": 32204, - "ĠFix": 32205, - "ixel": 32206, - "Ġrejecting": 32207, - "ĠEntreprene": 32208, - "ĠWireless": 32209, - "Monday": 32210, - "NL": 32211, - "ĠHern": 32212, - "Ġhailed": 32213, - "Ġlookup": 32214, - "Ġreversible": 32215, - "Ġcytokines": 32216, - "Seg": 32217, - "much": 32218, - "rically": 32219, - "itut": 32220, - "ĠShore": 32221, - "Ġpostdoctoral": 32222, - "Exc": 32223, - "HEAD": 32224, - "hostname": 32225, - "Score": 32226, - "ĠIdeal": 32227, - "Ġfarmed": 32228, - "Ġburrow": 32229, - "Ġadventurers": 32230, - "ĠSaskatchewan": 32231, - "Dou": 32232, - "ÑĨ": 32233, - "arum": 32234, - "Ġlace": 32235, - "ĠRaspberry": 32236, - "avorable": 32237, - "ĠMalawi": 32238, - "PRESS": 32239, - "ĠCosts": 32240, - "Ġpatronage": 32241, - "WID": 32242, - "edo": 32243, - "adal": 32244, - "onement": 32245, - "Ġacclaimed": 32246, - "Ġcampuses": 32247, - "ĠMineral": 32248, - "Ġapartments": 32249, - "screens": 32250, - "Ġureth": 32251, - "anched": 32252, - "ĠShab": 32253, - "Ġannotated": 32254, - "Ġamenities": 32255, - "ĠMÄģori": 32256, - "Jud": 32257, - "rals": 32258, - "vik": 32259, - "ĠWarning": 32260, - 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32607, - "yalgia": 32608, - "Ġadversaries": 32609, - "\\_\\_": 32610, - "Password": 32611, - "Capt": 32612, - "bite": 32613, - "rification": 32614, - "lehem": 32615, - "azole": 32616, - "Ġfaiths": 32617, - "Ġundertook": 32618, - "ĠCoordinator": 32619, - "è¡Į": 32620, - "ĠTudor": 32621, - "Ġ(=": 32622, - "ĠMé": 32623, - "ĠLights": 32624, - "ĠOng": 32625, - "Ġsquid": 32626, - "Clinical": 32627, - "Ġventricular": 32628, - "ĠIllness": 32629, - "ĠIntroduce": 32630, - "ĠDurham": 32631, - "åľ¨": 32632, - "Ġinfringement": 32633, - "Ġfingertips": 32634, - "ĠThomson": 32635, - "Ġtwigs": 32636, - "Chief": 32637, - "ĠKeys": 32638, - "Ġscalable": 32639, - "Ġnovice": 32640, - "dash": 32641, - "Ġbarc": 32642, - "ĠThunder": 32643, - "partition": 32644, - "ĠEvolutionary": 32645, - "ĠEnhance": 32646, - "ÅŁ": 32647, - "Ġil": 32648, - "Ġeclips": 32649, - "Ġperturb": 32650, - "Ġabras": 32651, - "Ġ*=": 32652, - "previous": 32653, - "ĠShepherd": 32654, - "ĠCornwall": 32655, - "zekiel": 32656, - "+=": 32657, 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"Ġconverge": 32758, - "Ġrospy": 32759, - "Ġunderpinnings": 32760, - "hof": 32761, - "Ġhandbook": 32762, - "Ġrested": 32763, - "Ġnormative": 32764, - "Ġfortunes": 32765, - "Ġgestational": 32766, - "Ġnegligence": 32767, - "bler": 32768, - "Ġfrying": 32769, - "ermis": 32770, - "ĠSpider": 32771, - "ĠVegetables": 32772, - "alamus": 32773, - "Ġunmanned": 32774, - "Raw": 32775, - "Ġexcre": 32776, - "Ġchorus": 32777, - "Ġwording": 32778, - "Ġtraveler": 32779, - "ĠRegistration": 32780, - "ĠMyc": 32781, - "Ġcamel": 32782, - "ĠSwan": 32783, - "Ġfixation": 32784, - "ĠâĹ": 32785, - "ĠFarmer": 32786, - "Helper": 32787, - "ĠSpaniards": 32788, - "Az": 32789, - "}',": 32790, - "classification": 32791, - "observation": 32792, - "buf": 32793, - "Ġergon": 32794, - "Ġophthalm": 32795, - "ĠTables": 32796, - "Ġstaged": 32797, - "horse": 32798, - "ĠExpansion": 32799, - "Ġalienation": 32800, - "Ġdoctorate": 32801, - "Ġdeploying": 32802, - "[[": 32803, - "yang": 32804, - "ĠTrig": 32805, - "ĠHes": 32806, - "Ġsober": 32807, - "Ġsoaking": 32808, - "ĠMorrison": 32809, - "Ġsubtly": 32810, - "ocalyptic": 32811, - "inable": 32812, - "Ġhern": 32813, - "Ġcirrhosis": 32814, - "Ġextrapol": 32815, - "Ġinvestigates": 32816, - "Ġaspiration": 32817, - "Gender": 32818, - "NI": 32819, - "ĠAMD": 32820, - "ĠRid": 32821, - "Ġdeserved": 32822, - "Ġstandardization": 32823, - "Ġpalaces": 32824, - "Ġbrigade": 32825, - "Ġtributaries": 32826, - "Match": 32827, - "camp": 32828, - "čĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 32829, - "Ġunpublished": 32830, - "optimal": 32831, - "Ġpropel": 32832, - "ĠProvides": 32833, - "CLC": 32834, - "Required": 32835, - "invent": 32836, - "ository": 32837, - "avia": 32838, - "othered": 32839, - "Ġbicycles": 32840, - "Eds": 32841, - "Nothing": 32842, - "fty": 32843, - "utz": 32844, - "Ġcondom": 32845, - "ĠPour": 32846, - "ĠYuk": 32847, - "borg": 32848, - "roqu": 32849, - "ctools": 32850, - "ĠHour": 32851, - "deal": 32852, - "thought": 32853, - "Ġlogistic": 32854, - "Ġevaluates": 32855, - "choices": 32856, - "Ġconvex": 32857, - "Ġscarcely": 32858, - "ĠGospels": 32859, - "Ġdilute": 32860, - "ĠMozamb": 32861, - "Ġnewcomers": 32862, - "grow": 32863, - "Ġinfested": 32864, - "Ġdecoder": 32865, - "inae": 32866, - "ĠHerz": 32867, - "Ġcomforting": 32868, - "ĠINTER": 32869, - "nob": 32870, - "rored": 32871, - "ĠConsumption": 32872, - "Ġcompletes": 32873, - "feres": 32874, - "Ġjuveniles": 32875, - "Ġsickle": 32876, - "Ġcherish": 32877, - "DEC": 32878, - "Ġtac": 32879, - "ĠMoss": 32880, - "Ġunaffected": 32881, - "Ġunavoid": 32882, - "ĠHeights": 32883, - "Ġinsulating": 32884, - "Ġcheeks": 32885, - "Ġforested": 32886, - "Ġrebirth": 32887, - "timed": 32888, - "Ġwholesale": 32889, - "Ġmellitus": 32890, - "XY": 32891, - "ĠCli": 32892, - "Ġprematurely": 32893, - "Ġadrenaline": 32894, - "termediate": 32895, - "jac": 32896, - "Ġtingling": 32897, - "ĠFruits": 32898, - "Ġreplies": 32899, - "Ġashore": 32900, - "Player": 32901, - "fro": 32902, - "ĠNurse": 32903, - "Ġinsists": 32904, - 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"Gene": 33003, - "Ġrelocation": 33004, - "Ġsociological": 33005, - "Ġsupermarkets": 33006, - "Ġobstructive": 33007, - "Ġfabricated": 33008, - "ĠNormandy": 33009, - "ĠAppalachian": 33010, - "Ġcunning": 33011, - "ĠAlps": 33012, - "ahs": 33013, - "Ġpostal": 33014, - "ĠAusten": 33015, - "Ġarchaeologist": 33016, - "publish": 33017, - "Ġiterative": 33018, - "Ġintracellular": 33019, - "ĠLancaster": 33020, - "Ġletharg": 33021, - "tum": 33022, - "Ġlone": 33023, - "Ġwhisk": 33024, - "ecost": 33025, - "ĠAmph": 33026, - "Ġinhibiting": 33027, - "Ġfiery": 33028, - "ĠAzerbaijan": 33029, - "TF": 33030, - "åĨ": 33031, - "oteric": 33032, - "andescent": 33033, - "izens": 33034, - "bringing": 33035, - "Ġpolicing": 33036, - "Ġdividends": 33037, - "ĠDesigned": 33038, - "Team": 33039, - "ĠGlobe": 33040, - "Ġglycemic": 33041, - "ĠPaste": 33042, - "Ġexpr": 33043, - "ĠAncest": 33044, - "States": 33045, - "Ġreceivers": 33046, - "flux": 33047, - "nat": 33048, - "amate": 33049, - "romyalgia": 33050, - "clone": 33051, - "Ġupheld": 33052, - "Ġfunnel": 33053, - "Ġdiversion": 33054, - "ĠBayesian": 33055, - "Ġcompounded": 33056, - "Everything": 33057, - "ĠConfederation": 33058, - "Ġlighthouse": 33059, - "ĠTommy": 33060, - "Ġalve": 33061, - "ĠEE": 33062, - "Ġoffender": 33063, - "olecule": 33064, - "ĠCarlo": 33065, - "ĠInitialize": 33066, - "Ġmistakenly": 33067, - "Ġgleaned": 33068, - "Ġtandem": 33069, - "ĠDHA": 33070, - "Ġentrusted": 33071, - "ylene": 33072, - "Proper": 33073, - "Ġoutsiders": 33074, - "Ġappraisal": 33075, - "Ġkitchens": 33076, - "ĠBabies": 33077, - "ĠMarxism": 33078, - "ĠJoyce": 33079, - "Ġoyster": 33080, - "izen": 33081, - "Ġplut": 33082, - "ĠNEW": 33083, - "VC": 33084, - "íķ": 33085, - "elastic": 33086, - "ggling": 33087, - "Ġpaperwork": 33088, - "Ġloosen": 33089, - "deredDict": 33090, - "ĠCaroline": 33091, - "ĠTank": 33092, - "allic": 33093, - "ĠInquiry": 33094, - "STOR": 33095, - "runs": 33096, - "Ġhomestead": 33097, - "ĠLaboratories": 33098, - "Ġhypothesized": 33099, - 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- "Loc": 33151, - "iatic": 33152, - "emy": 33153, - "Ġclut": 33154, - "Ġcaloric": 33155, - "ocumented": 33156, - "Ġauditor": 33157, - "Ġtrusts": 33158, - "Ġguarded": 33159, - "Private": 33160, - "åıĸ": 33161, - "CBT": 33162, - "Ġns": 33163, - "ĠPond": 33164, - "asties": 33165, - "phrase": 33166, - "Ġconfed": 33167, - "Ġethos": 33168, - "ĠProphe": 33169, - "ĠInfections": 33170, - "Ġoppos": 33171, - "Ġcouch": 33172, - "Ġignores": 33173, - "ĠSamar": 33174, - "оÑĢ": 33175, - "priority": 33176, - "ĠHarmonyville": 33177, - "Ġtopped": 33178, - "arching": 33179, - "alfa": 33180, - "Ġactionable": 33181, - "Ġmanifold": 33182, - "Ġlicence": 33183, - "Ġfashionable": 33184, - "æİ": 33185, - "Ġsher": 33186, - "Ġmural": 33187, - "Ġsepsis": 33188, - "availability": 33189, - "Ġtrays": 33190, - "Ġagreeing": 33191, - "ĠMechanics": 33192, - "plugins": 33193, - "Ġupgrades": 33194, - "Ġclutter": 33195, - "ĠManifest": 33196, - "Ġpronoun": 33197, - "ĠHopefully": 33198, - "Ġlurking": 33199, - "liest": 33200, - "Ġpus": 33201, - "ĠVine": 33202, - "DEF": 33203, - "Ġoverlooking": 33204, - "ĠMarco": 33205, - "ĠVon": 33206, - "Ġinterferes": 33207, - "CODE": 33208, - "Ġpremier": 33209, - "Ġshouting": 33210, - "ller": 33211, - "Ġprophetic": 33212, - "Testing": 33213, - "Ġrailways": 33214, - "Ġscalability": 33215, - "Ġleaning": 33216, - "Sing": 33217, - "pkl": 33218, - "Ġomit": 33219, - "Ġmd": 33220, - "ilight": 33221, - "ĠTah": 33222, - "Ġplume": 33223, - "Ġexpired": 33224, - "ĠParish": 33225, - "Ġinjecting": 33226, - "ĠAccessibility": 33227, - "Ġmolding": 33228, - "Ġquotations": 33229, - "Political": 33230, - "ĠNutr": 33231, - "Chemical": 33232, - "rils": 33233, - "strand": 33234, - "ĠPump": 33235, - "quake": 33236, - "Ġswamp": 33237, - "Phase": 33238, - "ĠProvidence": 33239, - "Eventually": 33240, - "Ïį": 33241, - "ĠTW": 33242, - "inee": 33243, - "brane": 33244, - "ĠFreeman": 33245, - "Ġmeteorological": 33246, - "Ġflammable": 33247, - "tas": 33248, - "Ġquota": 33249, - "ĠPride": 33250, - "ĠCOP": 33251, - "peutics": 33252, - "ĠTribune": 33253, - "ophe": 33254, - "Ġdisclosed": 33255, - "ARI": 33256, - "borhood": 33257, - "Ġrotary": 33258, - "ĠProcedure": 33259, - "Ġimpe": 33260, - "dominated": 33261, - "Univers": 33262, - "Ġmotivational": 33263, - "Ġirritated": 33264, - "authored": 33265, - "Ġnonsense": 33266, - "Ġendorsement": 33267, - "Ġinfiltration": 33268, - "aqu": 33269, - "aligned": 33270, - "Ġforc": 33271, - "ĠGER": 33272, - "Ġresided": 33273, - "ceptor": 33274, - "Ġsurreal": 33275, - "Ġwildly": 33276, - "gradient": 33277, - "founded": 33278, - "Suppose": 33279, - "nit": 33280, - "opting": 33281, - "Ġunbelie": 33282, - "ĠClos": 33283, - "Ġbirthplace": 33284, - "Ġsavory": 33285, - "Ġaccumulating": 33286, - "Ġmilder": 33287, - "Ġdumped": 33288, - "ĠBaldwin": 33289, - "lost": 33290, - "Ġstacks": 33291, - "Ġital": 33292, - "Ġsuppressing": 33293, - "ĠSacramento": 33294, - ")^": 33295, - "AH": 33296, - "Drug": 33297, - "ĠHours": 33298, - "Ġmalign": 33299, - "xyz": 33300, - "utations": 33301, - "ĠRD": 33302, - "Ġadapter": 33303, - "Ġglimps": 33304, - "Ġlogistical": 33305, - "lette": 33306, - "registry": 33307, - "ĠContrast": 33308, - "ĠMalta": 33309, - "orrhea": 33310, - "lif": 33311, - "Ġperi": 33312, - "tele": 33313, - "listed": 33314, - "Ġfaire": 33315, - "Ġpenis": 33316, - "dimension": 33317, - "Ġallele": 33318, - "Url": 33319, - "uties": 33320, - "ĠAU": 33321, - "ĠSage": 33322, - "ĠKaiser": 33323, - "Ġspeeding": 33324, - "ĠBerry": 33325, - "losses": 33326, - "Ġdiligence": 33327, - "ĠCzechosl": 33328, - "Ġwrinkles": 33329, - "failure": 33330, - "éĹ": 33331, - "Ġoft": 33332, - "Ġmanga": 33333, - "yss": 33334, - "RIBUT": 33335, - "Ġextraterrestrial": 33336, - "Few": 33337, - "Ġadept": 33338, - "ulsions": 33339, - "ĠPlaying": 33340, - "Ġcoexistence": 33341, - "ĠItalians": 33342, - "Running": 33343, - "ĠHear": 33344, - "ĠRams": 33345, - "ourg": 33346, - "ĠScan": 33347, - "Problem": 33348, - "Humans": 33349, - "Soon": 33350, - "ĠKre": 33351, - "ĠProfessionals": 33352, - "Ġloudly": 33353, - "Ġanxieties": 33354, - "circuit": 33355, - "Ġunderscoring": 33356, - "Ġpermissible": 33357, - "UES": 33358, - "Wait": 33359, - "Ġcms": 33360, - "Ġsupra": 33361, - "ĠJD": 33362, - "ritz": 33363, - "ĠEnviron": 33364, - "ĠRomanian": 33365, - "ĠTreatments": 33366, - "Members": 33367, - "bars": 33368, - "tel": 33369, - "ĠRecycling": 33370, - "ĠEdwin": 33371, - "Validation": 33372, - "Ġpsychiatry": 33373, - "Ġparsley": 33374, - "fmt": 33375, - "Ġhated": 33376, - "ĠSard": 33377, - "odef": 33378, - "ĠLon": 33379, - "spatial": 33380, - "Ġcools": 33381, - "ĠRemoval": 33382, - "ĠTwain": 33383, - "ĠMonthly": 33384, - "ĠFalcon": 33385, - "ĠBiomedical": 33386, - "pkg": 33387, - "amis": 33388, - "perse": 33389, - "ourced": 33390, - "Ġfluffy": 33391, - "Ġexposition": 33392, - "Ġliberated": 33393, - "ĠInnovative": 33394, - "olor": 33395, - "Ġstature": 33396, - "osate": 33397, - "Ġsuperb": 33398, - "Jun": 33399, - "npy": 33400, - "alla": 33401, - "matches": 33402, - "Ġdiarrhoea": 33403, - "eronomy": 33404, - "ĠPag": 33405, - "ĠNecess": 33406, - "ĠYounger": 33407, - "Ġenthusiast": 33408, - "Ġsten": 33409, - "onda": 33410, - "Ġairlines": 33411, - "ĠArtist": 33412, - "Ġdryer": 33413, - "rho": 33414, - "ĠLuckily": 33415, - "Mid": 33416, - "ĠTick": 33417, - "Ġblob": 33418, - "Ġminors": 33419, - "orescence": 33420, - "ĠCivilization": 33421, - "ĠNavigation": 33422, - "Ġsermon": 33423, - "icators": 33424, - "ustry": 33425, - "Ġalgal": 33426, - "Ġд": 33427, - "eze": 33428, - "owulf": 33429, - "ifera": 33430, - "ivore": 33431, - "ĠFight": 33432, - "permission": 33433, - "Ġoprot": 33434, - "ĠSloven": 33435, - "Ġsubtropical": 33436, - "ĠREAD": 33437, - "Ġreverber": 33438, - "Ġamygdala": 33439, - "park": 33440, - "icia": 33441, - "ĠAJ": 33442, - "ĠMuss": 33443, - "ĠGerald": 33444, - "wey": 33445, - "Ġ[])": 33446, - "Ġolfactory": 33447, - "powers": 33448, - "Speed": 33449, - "Ġbs": 33450, - "Ġconcessions": 33451, - "Ġadip": 33452, - "Ġdealers": 33453, 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"Ġstreamlined": 33506, - "ĠConfiguration": 33507, - "Ġoverex": 33508, - "Ġengraved": 33509, - "Ġbolstering": 33510, - "Earlier": 33511, - "rinsic": 33512, - "Ġtxt": 33513, - "ĠHip": 33514, - "xtap": 33515, - "ĠAlf": 33516, - "------------------": 33517, - "Ġcataracts": 33518, - "ĠKazakhstan": 33519, - "Moving": 33520, - "daily": 33521, - "ĠSisters": 33522, - "ĠSimpson": 33523, - "Ġglossary": 33524, - "ĠVolunteer": 33525, - "æŶ": 33526, - "VIII": 33527, - "Ġmussels": 33528, - "ĠFE": 33529, - "Ġarth": 33530, - "Ġtreatise": 33531, - "Ġcolonized": 33532, - "Ġmurals": 33533, - "violence": 33534, - "à¯": 33535, - "erd": 33536, - "ĠTail": 33537, - "ĠHP": 33538, - "inders": 33539, - "Ġnomination": 33540, - "asaki": 33541, - "irls": 33542, - "ĠThir": 33543, - "blast": 33544, - "assertFalse": 33545, - "Ġpositives": 33546, - "existent": 33547, - "Ġsupervise": 33548, - "Ġsandwiches": 33549, - "Citation": 33550, - "cannot": 33551, - "north": 33552, - "ĠSplit": 33553, - "perform": 33554, - "ĠColors": 33555, - "ĠFlint": 33556, - "hael": 33557, - "Ġindexed": 33558, - "corr": 33559, - "Ġrelieving": 33560, - "ĠAcknow": 33561, - "searc": 33562, - "Ġalph": 33563, - "Ġalias": 33564, - "uds": 33565, - "ĠArthritis": 33566, - "Ġmillimeters": 33567, - "ĠLeopold": 33568, - "Ġ__________________": 33569, - "Ġbitten": 33570, - "ĠPolyn": 33571, - "feit": 33572, - "Ġveterinarians": 33573, - "fashioned": 33574, - "pic": 33575, - "Ġperse": 33576, - "Ġspurred": 33577, - "Ġmonot": 33578, - "ï¼Ī": 33579, - "Photos": 33580, - "kefeller": 33581, - "ĠDale": 33582, - "plays": 33583, - "Ġexpiration": 33584, - "brook": 33585, - "ĠHonduras": 33586, - "slic": 33587, - "ĠLub": 33588, - "Ġstartling": 33589, - "Ġdelved": 33590, - "flip": 33591, - "IPE": 33592, - "Ġunderside": 33593, - "ĠSelecting": 33594, - "Ġhypothyroidism": 33595, - "Ġditch": 33596, - "ĠDairy": 33597, - "ploid": 33598, - "ĠUtt": 33599, - "Ġunhe": 33600, - "ĠRece": 33601, - "Ġinnovate": 33602, - "Ġhairy": 33603, - "Ġpunishments": 33604, - "Ye": 33605, - "unn": 33606, - "ensible": 33607, - "Inside": 33608, - "commercial": 33609, - "Ġpolymerase": 33610, - "Ġmilitar": 33611, - "chanics": 33612, - "matplotlib": 33613, - "Ġharvests": 33614, - "ĠSteam": 33615, - "Ġadjunct": 33616, - "Ġrhin": 33617, - "Ġdumping": 33618, - "Evidence": 33619, - "ĠCaucasus": 33620, - "Condition": 33621, - "certainty": 33622, - "ĠNicaragua": 33623, - "ç½": 33624, - "Ġocular": 33625, - "Ġbony": 33626, - "Ġlitres": 33627, - "Ġprotesters": 33628, - "Ġzeal": 33629, - "Conc": 33630, - "qualified": 33631, - "Scott": 33632, - "Ġcartridge": 33633, - "Discussion": 33634, - "TPS": 33635, - "Ġprick": 33636, - "ĠChel": 33637, - "ĠMORE": 33638, - "ĠPassion": 33639, - "Ġhens": 33640, - "ĠJF": 33641, - "ERY": 33642, - "unting": 33643, - "rosophila": 33644, - "ĠAircraft": 33645, - "ĠBhutan": 33646, - "CG": 33647, - "Mag": 33648, - "Ġmentality": 33649, - "Geometry": 33650, - "âķIJâķIJ": 33651, - "motor": 33652, - "Ġlign": 33653, - "ĠHMS": 33654, - "Getty": 33655, - "!**": 33656, - ",(": 33657, - "Future": 33658, - "franch": 33659, - "street": 33660, - "Ġintimately": 33661, - "Ġhello": 33662, - "ucent": 33663, - "Ġcoales": 33664, - "Ġdebugging": 33665, - "Ġmisf": 33666, - "continence": 33667, - "Ġrefrigeration": 33668, - "ĠSale": 33669, - "ablo": 33670, - "Ġpeek": 33671, - "iker": 33672, - "rador": 33673, - "ĠJacobs": 33674, - "Ġcarpets": 33675, - "iere": 33676, - "verte": 33677, - "Ġhaul": 33678, - "Ġpotency": 33679, - "ĠAmelia": 33680, - "Ġtournament": 33681, - "Ġventured": 33682, - "Financial": 33683, - "behavioral": 33684, - "Board": 33685, - "cepts": 33686, - "Ġblockade": 33687, - "ĠOceanic": 33688, - "ĠBullying": 33689, - "ĠGreens": 33690, - "<<": 33691, - "hra": 33692, - "ĠMish": 33693, - "strategy": 33694, - "Ġwiser": 33695, - "Ġmasking": 33696, - "Ġdotted": 33697, - "Ġcataract": 33698, - "Ġsowing": 33699, - "Ġfission": 33700, - "Ġgaseous": 33701, - "ĠPER": 33702, - "Ġjudiciary": 33703, - "Ġmetabolites": 33704, - "Ġorchid": 33705, - "Ġconstellations": 33706, - "migrations": 33707, - "strength": 33708, - "Friday": 33709, - "ionage": 33710, - "ibus": 33711, - "Ġunprotected": 33712, - "ĠNoise": 33713, - "Ġstereotype": 33714, - "ĠAssessing": 33715, - "ĠShelley": 33716, - "tau": 33717, - "ĠGET": 33718, - "ĠSz": 33719, - "ĠCrystal": 33720, - "ĠHS": 33721, - "Ġyourselves": 33722, - "Ġ\"\")": 33723, - "ascus": 33724, - "Ġbleaching": 33725, - "Ġentertained": 33726, - "ĠSidd": 33727, - "ĠStir": 33728, - "ossal": 33729, - "Ġdemo": 33730, - "Builder": 33731, - "Ġabruptly": 33732, - "qs": 33733, - "Ġbang": 33734, - "Ġinquiries": 33735, - "Ġnoses": 33736, - "Ġcraters": 33737, - "Ġconceptions": 33738, - "ĠXY": 33739, - "COUNT": 33740, - "graduates": 33741, - "Distance": 33742, - "Double": 33743, - "izzy": 33744, - "Ġspruce": 33745, - "coat": 33746, - "Ġenvironmentalists": 33747, - "Ġsummarizing": 33748, - "Ġgoss": 33749, - "expect": 33750, - "Ġadvising": 33751, - "Ġcondoms": 33752, - "ĠShortly": 33753, - "accharides": 33754, - "Ġrepentance": 33755, - "tails": 33756, - "Ġferal": 33757, - "ĠTrent": 33758, - "okers": 33759, - "ĠAppl": 33760, - "infection": 33761, - "Ġneuropsych": 33762, - "Ġneckl": 33763, - "music": 33764, - "Ġvoyages": 33765, - "ĠVoices": 33766, - "repository": 33767, - "ĠGiovanni": 33768, - "Ġcipher": 33769, - "ĠFrost": 33770, - "coins": 33771, - "OSS": 33772, - "solve": 33773, - "ĠDistingu": 33774, - "ĠBethlehem": 33775, - "Father": 33776, - "oji": 33777, - "isin": 33778, - "Ġpea": 33779, - "Ġexpanse": 33780, - "Ġcapitalize": 33781, - "ĠMatplotlib": 33782, - "Ġgrocer": 33783, - "coordinates": 33784, - "Fish": 33785, - "Ly": 33786, - "icz": 33787, - "ĠFlask": 33788, - "Ġembarrassment": 33789, - "Ġcamouflage": 33790, - "Ġgrievances": 33791, - "Ġplatinum": 33792, - "ĠKoch": 33793, - "Ġseventeen": 33794, - "Ġserialize": 33795, - "Ġhydropower": 33796, - "toplankton": 33797, - "Ġnucleotide": 33798, - "Harv": 33799, - "Quality": 33800, - "ĠGUI": 33801, - "ĠGCSE": 33802, - "Ġtaxi": 33803, - "Ġoptimally": 33804, - "Ġdragged": 33805, - "Ġdescendant": 33806, - "Ġfigurative": 33807, - "Ġfür": 33808, - "Ġornaments": 33809, - "ĠRum": 33810, - "ĠGel": 33811, - "cloth": 33812, - "Ġcompulsive": 33813, - "Ġdoomed": 33814, - "aise": 33815, - "ité": 33816, - "ĠFur": 33817, - "ĠKend": 33818, - "Ġinspected": 33819, - "Ġconversational": 33820, - "ĠCapacity": 33821, - "ĠZhou": 33822, - "Ġdwellers": 33823, - "Ġgoddesses": 33824, - "BLE": 33825, - "ĠACL": 33826, - "ĠLaz": 33827, - "Ġremed": 33828, - "Ġattrs": 33829, - "Ġentom": 33830, - "Ġcaries": 33831, - "Ġdownwards": 33832, - "Ġpillow": 33833, - "Surface": 33834, - "LOCK": 33835, - "cart": 33836, - "gang": 33837, - "lite": 33838, - "Ġsparing": 33839, - "wered": 33840, - "Ġassortment": 33841, - "proj": 33842, - "Ġmessengers": 33843, - "Ġjournaling": 33844, - "ĠMali": 33845, - "Ġinterviewing": 33846, - "ĠExtended": 33847, - "statistics": 33848, - "Ġarsenal": 33849, - "recognized": 33850, - "HL": 33851, - "trigger": 33852, - "aned": 33853, - "Ġether": 33854, - "ĠTrim": 33855, - "Ġyang": 33856, - "aminated": 33857, - "Doctors": 33858, - "ĠLegislative": 33859, - "esoph": 33860, - "opening": 33861, - "Ġimpractical": 33862, - "Ġopted": 33863, - "ĠSpatial": 33864, - "ĠAssert": 33865, - "ĠTransactions": 33866, - "ĠBiotechnology": 33867, - "Ġsecreted": 33868, - "Ġriparian": 33869, - "ĠVishnu": 33870, - "Ġviolet": 33871, - "Ġtwelfth": 33872, - "Unknown": 33873, - "ĠDeveloped": 33874, - "ĠDevelopments": 33875, - "Ġpineapple": 33876, - "Ġparen": 33877, - "ĠTul": 33878, - "chars": 33879, - "Ġrestless": 33880, - "ĠOrn": 33881, - "ĠGujar": 33882, - "ĠRegression": 33883, - "ĠBrush": 33884, - "ĠHygiene": 33885, - "Ġrenders": 33886, - "!),": 33887, - "nour": 33888, - "ĠEST": 33889, - "unched": 33890, - "Ġpostcolonial": 33891, - "ĠFloat": 33892, - "Ġhorrors": 33893, - "Behavior": 33894, - "Ġgraceful": 33895, - "Ġapoptosis": 33896, - "duty": 33897, - "Ġplethora": 33898, - "ĠRomance": 33899, - "ĠRhine": 33900, - "Ġoverwhelmingly": 33901, - "Ġsensitivities": 33902, - "Folder": 33903, - "onucle": 33904, - "Ġoily": 33905, - "Ġcider": 33906, - "ĠSag": 33907, - "ĠCRE": 33908, - "adam": 33909, - "ĠJO": 33910, - "Country": 33911, - "æķ°æį®": 33912, - "çī": 33913, - "Ġliturgical": 33914, - "Ġpopularly": 33915, - "backward": 33916, - "ĠSociology": 33917, - "mathbf": 33918, - "Ġpearls": 33919, - "tc": 33920, - "ĠFostering": 33921, - "ĠWeak": 33922, - "\"\"\",": 33923, - "ĠSeventh": 33924, - "Ġcollide": 33925, - "ĠBowl": 33926, - "Ġelectrolytes": 33927, - "Ġbunk": 33928, - "Ġregex": 33929, - "ĠSimulation": 33930, - "hematics": 33931, - "Ġpleasures": 33932, - "Ġrejects": 33933, - "ocentric": 33934, - "Ġhallucinations": 33935, - "Ġbos": 33936, - "Ġdusk": 33937, - "ĠLS": 33938, - "ĠWealth": 33939, - "oker": 33940, - "ĠPsychiatric": 33941, - "Ġregimens": 33942, - "ĠAlgeria": 33943, - "DIS": 33944, - "åĢ": 33945, - "ĠFry": 33946, - "Ġbacklash": 33947, - "Ġresponsiveness": 33948, - "ĠLego": 33949, - "ĠRabbit": 33950, - "ĠBecome": 33951, - "Ġcedar": 33952, - "Ġpore": 33953, - "ĠLiquid": 33954, - "Ġoccult": 33955, - "Ġanalysing": 33956, - "ĠDorothy": 33957, - "gerald": 33958, - "tops": 33959, - "Atlantic": 33960, - "ĠGardening": 33961, - "cooked": 33962, - "mobile": 33963, - "Ġpaternal": 33964, - "ĠAdvantages": 33965, - "ĠIsab": 33966, - "Ġhelicopters": 33967, - "Ġindelible": 33968, - "bay": 33969, - "divided": 33970, - "nesty": 33971, - "ilers": 33972, - "ĠStern": 33973, - "Ġtreason": 33974, - "Ġcraving": 33975, - "ĠSketch": 33976, - "Ġmarveled": 33977, - "Discover": 33978, - "xit": 33979, - "ĠDante": 33980, - "Ġdisrespect": 33981, - "Ġmega": 33982, - "Ġemperors": 33983, - "Ġconfer": 33984, - "Ġredis": 33985, - "Ġfixes": 33986, - "ĠEveryday": 33987, - "ĠJimmy": 33988, - "Ġtending": 33989, - "ĠTrip": 33990, - "avian": 33991, - "Ġperceptual": 33992, - "Ġepidemi": 33993, - "ĠMichelle": 33994, - "blown": 33995, - "ĠTrop": 33996, - "Ġexemption": 33997, - "Ġseep": 33998, - "Ġallure": 33999, - "Ġrapt": 34000, - "ĠSpin": 34001, - "Ġconversions": 34002, - "Ġexemplary": 34003, - "ĠInvestigate": 34004, - "Ġdecolonization": 34005, - "ĠMats": 34006, - "Ġtrache": 34007, - "Ġcurtain": 34008, - "subprocess": 34009, - "Ġisolating": 34010, - "Ġfestive": 34011, - "ophysiology": 34012, - "Ġrewrite": 34013, - "ĠBB": 34014, - "Ġglobalized": 34015, - "Ġabnormally": 34016, - "Magn": 34017, - "Prec": 34018, - "arat": 34019, - "ĠIncluding": 34020, - "Ġunresolved": 34021, - "uprofen": 34022, - "Ġxx": 34023, - "softmax": 34024, - "Ġcoincide": 34025, - "{'": 34026, - "ĠASP": 34027, - "ameter": 34028, - "ĠCourses": 34029, - "ĠGC": 34030, - "activate": 34031, - "auri": 34032, - "biological": 34033, - "Ġrevelations": 34034, - "Hyp": 34035, - "Park": 34036, - "Ġdiure": 34037, - "ĠWei": 34038, - "Aside": 34039, - "ĠLouise": 34040, - "|'('": 34041, - "Ġpitcher": 34042, - "Ġmerger": 34043, - "Ġexacerbating": 34044, - "ĠChandra": 34045, - "Ġborough": 34046, - "|')'": 34047, - "bane": 34048, - "Ġprod": 34049, - "quist": 34050, - "ĠInvalid": 34051, - "oides": 34052, - "Ġdebut": 34053, - "Ġsniff": 34054, - "Ġyouthful": 34055, - "Come": 34056, - "Tri": 34057, - "ɪ": 34058, - "phinx": 34059, - "exam": 34060, - "Ġnorthward": 34061, - "Ġhomin": 34062, - "Ġexplosives": 34063, - "aunders": 34064, - "Ġingenious": 34065, - "Ġpopulace": 34066, - "STATUS": 34067, - "ĠDoctrine": 34068, - "Ġninety": 34069, - "ĠPtole": 34070, - "Ġflap": 34071, - "CONF": 34072, - "Ġmobilization": 34073, - "ĠShuttle": 34074, - "ÎŃ": 34075, - "Ġhither": 34076, - "Ġslogan": 34077, - "Ġdoubles": 34078, - "ĠNOTE": 34079, - "Ġbolts": 34080, - "Ġprudent": 34081, - "Rh": 34082, - "ĠFI": 34083, - "Ġpostwar": 34084, - "slot": 34085, - "Classifier": 34086, - "Ġbisc": 34087, - "asan": 34088, - "Ġorang": 34089, - "ĠEuch": 34090, - "Ġprune": 34091, - "ophysics": 34092, - "Ġambul": 34093, - "Transport": 34094, - "Ro": 34095, - "ĠNPR": 34096, - "afrost": 34097, - "Carl": 34098, - "ĠAda": 34099, - "assertIn": 34100, - "Ġ\\\"": 34101, - "ĠPassage": 34102, - "pertension": 34103, - "Ġmansion": 34104, - "ĠScul": 34105, - "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 34106, - "FM": 34107, - "Ġnotifications": 34108, - "prepared": 34109, - "banks": 34110, - "ĠFrontier": 34111, - "ĠBosnia": 34112, - "Ġwrestling": 34113, - "Ġerroneous": 34114, - "ln": 34115, - "yet": 34116, - "ĠEthereum": 34117, - "ovine": 34118, - "Ġcrank": 34119, - "Cluster": 34120, - "Ġvirtuous": 34121, - "ĠArgentine": 34122, - "Australian": 34123, - "ĠAssyrian": 34124, - "lis": 34125, - "magn": 34126, - "ĠMumbai": 34127, - "ĠDion": 34128, - "ĠNab": 34129, - "Ġgenomics": 34130, - "interaction": 34131, - "Ġsv": 34132, - "Ġinsecure": 34133, - "Ġlenders": 34134, - "Ġunlocking": 34135, - "Ġnegatives": 34136, - "ECK": 34137, - "technical": 34138, - "ĠSaxon": 34139, - "Ġpolish": 34140, - "Ġnums": 34141, - "Ġsheath": 34142, - "ĠOutline": 34143, - "folios": 34144, - "Depth": 34145, - "Ġtriglycerides": 34146, - "Ġendothelial": 34147, - "ilot": 34148, - "Ġflakes": 34149, - "Ġshepherd": 34150, - "Ġendings": 34151, - "Ġcandies": 34152, - "Ġnarrowed": 34153, - "Ġinsurmountable": 34154, - "ĠGaelic": 34155, - "ĠSimultaneously": 34156, - "configs": 34157, - "Ġfortifications": 34158, - "ĠTyler": 34159, - "ĠMechanisms": 34160, - "Ġanesthetic": 34161, - ",),": 34162, - "Ġsar": 34163, - "Ġgob": 34164, - "ĠAj": 34165, - "ĠCarson": 34166, - "Ġpreach": 34167, - "Ġregiments": 34168, - "according": 34169, - "ĠConfirm": 34170, - "Ġdownloads": 34171, - "Publisher": 34172, - "ĠTexts": 34173, - "Ġmonarchs": 34174, - "Ġsequestration": 34175, - ",))": 34176, - "Ha": 34177, - "slow": 34178, - "ĠVac": 34179, - "Ġadjoining": 34180, - "Ġresidency": 34181, - "ĠKnox": 34182, - "election": 34183, - "ä¾": 34184, - "ĠHert": 34185, - "Ġchor": 34186, - "Ġprovoked": 34187, - "Ġafterlife": 34188, - "gger": 34189, - "Ġcomposites": 34190, - "ĠCompanion": 34191, - "finished": 34192, - "Ġevacuated": 34193, - "Ġupgraded": 34194, - "Ġsabot": 34195, - "Aff": 34196, - "Scal": 34197, - "ĠACC": 34198, - "ĠVander": 34199, - "ĠLeh": 34200, - "olkien": 34201, - "Ġpornography": 34202, - "Ġkinship": 34203, - "Du": 34204, - "Ġflashing": 34205, - "ĠPeruvian": 34206, - "ĠInca": 34207, - "Ġrevolve": 34208, - "Ġregenerate": 34209, - "mis": 34210, - "ĠHess": 34211, - "ĠGul": 34212, - "appings": 34213, - "Story": 34214, - "Ġbadge": 34215, - "ĠOptical": 34216, - "(',": 34217, - "felt": 34218, - "Ġstigmat": 34219, - "Ġcomplicate": 34220, - "Ġcontests": 34221, - "Ġcols": 34222, - "interpret": 34223, - "Ġroofing": 34224, - "Species": 34225, - "squeeze": 34226, - "Ê»": 34227, - "heli": 34228, - "Ġreed": 34229, - "Ġ(@": 34230, - "unned": 34231, - "ansen": 34232, - "Ġcheckups": 34233, - "Ġvaluation": 34234, - "Assessment": 34235, - "aaS": 34236, - "ophilic": 34237, - "Important": 34238, - "Ġtumultuous": 34239, - "ectors": 34240, - "ĠGrab": 34241, - "Ġplasm": 34242, - "Ġkangar": 34243, - "rica": 34244, - "Ġpopularized": 34245, - "Plants": 34246, - "ĠTreasure": 34247, - "Formatter": 34248, - "Ġexceedingly": 34249, - "Queue": 34250, - "?).": 34251, - "lens": 34252, - "irin": 34253, - "Ġconclusive": 34254, - "Ġquake": 34255, - "Ġprototyping": 34256, - "ĠRecommendations": 34257, - "uitive": 34258, - "ĠBoolean": 34259, - "ASK": 34260, - "Ġarchipelago": 34261, - "Ġfragrance": 34262, - "ocyan": 34263, - "Ġconcurrently": 34264, - "idences": 34265, - "ĠAri": 34266, - "Ġprolet": 34267, - "ĠHouses": 34268, - "Ġcurtains": 34269, - "valued": 34270, - "classifier": 34271, - "Ġconcentrates": 34272, - "Ġsenators": 34273, - "Ġmarvelous": 34274, - "Directory": 34275, - "Ġmacrophages": 34276, - "MED": 34277, - "Sad": 34278, - "bie": 34279, - "Ġinlet": 34280, - "ersen": 34281, - "Ġoutgoing": 34282, - "rugu": 34283, - "ĠHeroes": 34284, - "Ġelemental": 34285, - "Ġclarified": 34286, - "embeddings": 34287, - "Ġrifles": 34288, - "Ġimplicitly": 34289, - "ifi": 34290, - "Ġtractor": 34291, - "ĠRescue": 34292, - "Ġliterate": 34293, - "Ġmelts": 34294, - "Ġpersuasion": 34295, - "Picture": 34296, - "YY": 34297, - "mese": 34298, - "tale": 34299, - "ĠFay": 34300, - "Ġquasi": 34301, - "Ġinteracted": 34302, - "rontal": 34303, - "seeking": 34304, - "Ġironic": 34305, - "burning": 34306, - "Ġconsolidate": 34307, - "ĠHansen": 34308, - "Ġelliptical": 34309, - "Rom": 34310, - "Vir": 34311, - "ĠTEST": 34312, - "ĠFetch": 34313, - "ĠLinn": 34314, - "ascal": 34315, - "increasing": 34316, - "pn": 34317, - "esta": 34318, - "Ġhumili": 34319, - "Ġchemists": 34320, - "ĠMarkets": 34321, - "Coord": 34322, - "Ġcuff": 34323, - "Ġwil": 34324, - "Ġpacing": 34325, - "ĠMixed": 34326, - "things": 34327, - "Ġovens": 34328, - "Ġsymbiotic": 34329, - "Ġpredisposition": 34330, - "lov": 34331, - "Äĥ": 34332, - "arya": 34333, - "ĠQR": 34334, - "Ġsubstituted": 34335, - "ĠPrepared": 34336, - "ĠMinneapolis": 34337, - "ĠStarted": 34338, - "Ġdecompose": 34339, - "ĠKuwait": 34340, - "ĠSahara": 34341, - "OFF": 34342, - "few": 34343, - "čĊĠĠĠĠĠ": 34344, - "itatively": 34345, - "Ġegal": 34346, - "Ġruth": 34347, - "ubon": 34348, - "Ġthroughput": 34349, - "Ġextremities": 34350, - "skilled": 34351, - "Ġpooling": 34352, - "Ġcovariance": 34353, - "ĠRecommended": 34354, - "Sure": 34355, - "ččĊĠĠĠĠĠĠĠĠ": 34356, - "among": 34357, - "ĠCitation": 34358, - "ĠDad": 34359, - "Ġclicks": 34360, - "iane": 34361, - "Ġslang": 34362, - "Optim": 34363, - "Ġaccreditation": 34364, - "âĢłâĢł": 34365, - "ĠProcedures": 34366, - "Ġpity": 34367, - "Alter": 34368, - "ĠStephan": 34369, - "Ġintegrative": 34370, - "Ġneutralize": 34371, - "Ġpearl": 34372, - "Fat": 34373, - "ĠACE": 34374, - "terminal": 34375, - "Ġshipwre": 34376, - "Ġvertebrate": 34377, - "ĠRatio": 34378, - "!'": 34379, - "Ġmoose": 34380, - "Ġpathogenesis": 34381, - "ĠJustin": 34382, - "Ġsequenced": 34383, - "Ġfilmmakers": 34384, - "sweet": 34385, - "Summer": 34386, - "laws": 34387, - "assembly": 34388, - "ĠPoles": 34389, - "Ġvested": 34390, - "ĠHamburg": 34391, - "Ġunlawful": 34392, - "Ġpolarity": 34393, - "Ġcrev": 34394, - "Ġidentifiers": 34395, - "Ġsymphony": 34396, - "contamination": 34397, - "Ġvisionary": 34398, - "Ġdehydrated": 34399, - "Ġmurders": 34400, - "Ġfollicles": 34401, - "inic": 34402, - "Ġlys": 34403, - "ulo": 34404, - "Ġanorexia": 34405, - "ĠThesis": 34406, - "Ġleopard": 34407, - "Ġkicking": 34408, - "Ġmedals": 34409, - "Ġzoos": 34410, - "ĠFlora": 34411, - "VIEW": 34412, - "ĠFemales": 34413, - "Missing": 34414, - "ĠMacedonia": 34415, - "Choosing": 34416, - "gather": 34417, - "ĠCNS": 34418, - "Ġdetained": 34419, - "assertEquals": 34420, - "ĠJesse": 34421, - "ADHD": 34422, - "Ġsubscribers": 34423, - "Ġcautiously": 34424, - "ĠFranç": 34425, - "ĠMozambique": 34426, - "cumin": 34427, - "horn": 34428, - "iatives": 34429, - "mys": 34430, - "Ġcages": 34431, - "Ġbou": 34432, - "ĠAsked": 34433, - "Agricult": 34434, - "Ġmarvels": 34435, - "Ġcongregations": 34436, - "ilo": 34437, - "Ġcanoe": 34438, - "ĠOceans": 34439, - "ashtra": 34440, - "Ġknitting": 34441, - "ĠNegot": 34442, - "Ġcmap": 34443, - "geons": 34444, - "Ġspouses": 34445, - "ĠKru": 34446, - "Ġbiking": 34447, - "Ġlocalization": 34448, - "Ġconstructor": 34449, - "Ġlieutenant": 34450, - "Ġtonight": 34451, - "ĠCalled": 34452, - "ĠAquarium": 34453, - "roviral": 34454, - "ĠNigerian": 34455, - "ĠAyurveda": 34456, - "vid": 34457, - "ilant": 34458, - "Ġgour": 34459, - "Ġtying": 34460, - "ĠRevenue": 34461, - "ELTS": 34462, - "heed": 34463, - "ĠInclusive": 34464, - "Ġdove": 34465, - "ĠPercent": 34466, - "ĠFrancisc": 34467, - "Ġlockdown": 34468, - "Ġwalnuts": 34469, - "ĠCertification": 34470, - "ĠChronicles": 34471, - "Ġtrumpet": 34472, - "aso": 34473, - "Ġnx": 34474, - "ĠMY": 34475, - "agree": 34476, - "ECH": 34477, - "Ġhomage": 34478, - "Ġcomplaining": 34479, - "Ġboredom": 34480, - "fm": 34481, - "got": 34482, - "mong": 34483, - "ĠOB": 34484, - "Ġmultilateral": 34485, - "Complete": 34486, - "Ġsynerg": 34487, - "Authent": 34488, - "scripts": 34489, - "Ġaerosols": 34490, - "Ġsubgenre": 34491, - "Ġstrenuous": 34492, - "Åĵ": 34493, - "ĠSue": 34494, - "Ġsyphilis": 34495, - "ĠAnth": 34496, - "NAS": 34497, - "ĠPractition": 34498, - "apiens": 34499, - "RCA": 34500, - "Ġarisen": 34501, - "Ing": 34502, - "ulla": 34503, - "Ġpsychosis": 34504, - "Artificial": 34505, - "Ġhalted": 34506, - "ĠFeminist": 34507, - "Ġcontingency": 34508, - "ĠHimalayas": 34509, - "dard": 34510, - "Ġcries": 34511, - "ceph": 34512, - "onset": 34513, - "ĠUnicode": 34514, - "Ġswamps": 34515, - "Ġurgently": 34516, - "ĠGenerated": 34517, - "ĠChilean": 34518, - "LM": 34519, - "fel": 34520, - "Ġwatered": 34521, - "Ġhors": 34522, - "oko": 34523, - "processors": 34524, - "Ġfranc": 34525, - "Ġcherries": 34526, - "ĠBuddhists": 34527, - "iwi": 34528, - "ĠGateway": 34529, - "ĠAmidst": 34530, - "Ġinbox": 34531, - "Ġ*,": 34532, - "Properties": 34533, - "ĠMcL": 34534, - "riendly": 34535, - "ка": 34536, - "inja": 34537, - "erical": 34538, - "ĠCAM": 34539, - "Ġimpede": 34540, - "ĠKom": 34541, - "ĠAlleg": 34542, - "Ġsteaming": 34543, - "Ġhourly": 34544, - "Ġmediator": 34545, - "Ġindulge": 34546, 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"Ġuncontroll": 34596, - "retched": 34597, - "Forest": 34598, - "kines": 34599, - "Ġwarrants": 34600, - "disabled": 34601, - "Ġprayed": 34602, - "Ġhorrific": 34603, - "templates": 34604, - "Ġlends": 34605, - "imaging": 34606, - "olip": 34607, - "plural": 34608, - "Ġabide": 34609, - "Ġroasting": 34610, - "Ġrecap": 34611, - "oki": 34612, - "heading": 34613, - "ĠPreserve": 34614, - "ĠEliot": 34615, - "ĠPOS": 34616, - "osteroids": 34617, - "ĠInform": 34618, - "ensory": 34619, - "Ġcoloration": 34620, - "unsaturated": 34621, - "Ġescalate": 34622, - "Ġcompanionship": 34623, - "scientists": 34624, - "âĻ": 34625, - "ĠIBS": 34626, - "ĠWorm": 34627, - "Ġsoaring": 34628, - "ĠStyles": 34629, - "Ġpostpartum": 34630, - "Ġfallacy": 34631, - "ĠParallel": 34632, - "Ġcasts": 34633, - "ĠDecide": 34634, - "ĠFeast": 34635, - "Ġcolourful": 34636, - "ĠBaghdad": 34637, - "elope": 34638, - "otives": 34639, - "ĠDATA": 34640, - "ĠMinisters": 34641, - "Ġsecretions": 34642, - "documents": 34643, - "ĠAlgorithm": 34644, - "sein": 34645, - "lyss": 34646, - "ocultural": 34647, - "Ġdiffraction": 34648, - "ihu": 34649, - "Ġlobbying": 34650, - "Ġredesign": 34651, - "gue": 34652, - "Ġreconnect": 34653, - "Ġphotoc": 34654, - "vertices": 34655, - "millan": 34656, - "Insert": 34657, - "Ġinterchangeably": 34658, - "Ġcourtyard": 34659, - "ocarbon": 34660, - "ĠRAF": 34661, - "Ġbiochemistry": 34662, - "ogenes": 34663, - "ĠDavies": 34664, - "ĠTrials": 34665, - "ĠPlanetary": 34666, - "ĠChapman": 34667, - "Sound": 34668, - "Ġ(%": 34669, - "ĠMask": 34670, - "ĠDum": 34671, - "Ġdiabetics": 34672, - "ĠWorlds": 34673, - "ylim": 34674, - "ĠGardner": 34675, - "ĠTurning": 34676, - "ĠBarnes": 34677, - "Ġenlargement": 34678, - "Ġmangrove": 34679, - "Ġbuys": 34680, - "Ġfullness": 34681, - "CLUD": 34682, - "Extract": 34683, - "Ġdowntime": 34684, - "Ġmiscarriage": 34685, - "Ġmall": 34686, - "ĠRSS": 34687, - "Ġperished": 34688, - "ĠRecreation": 34689, - "ringes": 34690, - "ĠSixth": 34691, - "Ġupp": 34692, - "Ġvortex": 34693, - "ĠDw": 34694, - "ĠUnknown": 34695, - "Ġattaches": 34696, - "Ġactivating": 34697, - "Death": 34698, - "Ġgarnered": 34699, - "young": 34700, - "Ġbenchmarks": 34701, - "ĠVegas": 34702, - "ĠCrick": 34703, - "Ġabort": 34704, - "minor": 34705, - "Ġcommentators": 34706, - "ĠRockefeller": 34707, - "Ġtelome": 34708, - "Ġbinoculars": 34709, - "?.": 34710, - "Ġsuction": 34711, - "ffff": 34712, - "ĠOrbit": 34713, - "ĠMayan": 34714, - "ĠCarp": 34715, - "Ġwarmed": 34716, - "Ġwaveform": 34717, - "Ġplugs": 34718, - "supervised": 34719, - "ĠPeterson": 34720, - "Ġpersecuted": 34721, - "bd": 34722, - "calls": 34723, - "gins": 34724, - "Ġpiqued": 34725, - "ĠAram": 34726, - "teaching": 34727, - "compl": 34728, - "Ġinflow": 34729, - "argmax": 34730, - "eger": 34731, - "ĠFunding": 34732, - "ĠGraphics": 34733, - "eroon": 34734, - "Ġcemeteries": 34735, - "Ġeternity": 34736, - "Ġalpine": 34737, - "Ġusability": 34738, - "Ġdisplace": 34739, - "ĠUnix": 34740, - "Ġfuller": 34741, - "Ġsheltered": 34742, - 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"Ġhesitation": 34794, - "formerly": 34795, - "ESCRIPT": 34796, - "otropic": 34797, - "aphylococcus": 34798, - "Ġunavoidable": 34799, - "Mount": 34800, - "ĠMusk": 34801, - "Ġprohibiting": 34802, - "Ġunfairly": 34803, - "Domain": 34804, - "Budd": 34805, - "Safe": 34806, - "tales": 34807, - "ĠCic": 34808, - "yson": 34809, - "ĠBlo": 34810, - "Soil": 34811, - "Ġcommentaries": 34812, - "Ġkiln": 34813, - "Ġgallbladder": 34814, - "ĠPubMed": 34815, - "Ġesteemed": 34816, - "%||": 34817, - "tis": 34818, - "reliance": 34819, - "ĠTribe": 34820, - "ĠCrist": 34821, - "Ġbiot": 34822, - "rolls": 34823, - "ĠSTAT": 34824, - "ĠEntom": 34825, - "ĠBast": 34826, - "ĠBris": 34827, - "ĠBottom": 34828, - "Ġspies": 34829, - "Ġplanner": 34830, - "Ġcontentious": 34831, - "ĠGlob": 34832, - "ĠDirective": 34833, - "Johnson": 34834, - "Ġpenetrating": 34835, - "Ġunfolded": 34836, - "Ġmaneuvers": 34837, - "Ġrenovation": 34838, - "GW": 34839, - "Material": 34840, - "×IJ": 34841, - "alted": 34842, - "ĠKurt": 34843, - "Ġhymn": 34844, - "RGB": 34845, - "ĠDru": 34846, - "Ġwillow": 34847, - "ĠIndus": 34848, - "ĠÎĶ": 34849, - "Ġabstinence": 34850, - "ĠCavalry": 34851, - "wrong": 34852, - "Ġrejo": 34853, - "ĠAWS": 34854, - "Ġincandescent": 34855, - "ĠJesuit": 34856, - "APH": 34857, - "feel": 34858, - "bellum": 34859, - "Ġgerminate": 34860, - "SOURCE": 34861, - "Ġgoggles": 34862, - "otus": 34863, - "ĠGlenn": 34864, - "handlers": 34865, - "travel": 34866, - "Ġfestivities": 34867, - "Ġparsing": 34868, - ">`": 34869, - "ĠFusion": 34870, - "Ġstrongh": 34871, - "ĠNeck": 34872, - "Ġexecutable": 34873, - "Ġjuxtap": 34874, - "ĠSmaller": 34875, - "Database": 34876, - "ĠSlavic": 34877, - "ÃŁ": 34878, - "ocin": 34879, - "ĠNLP": 34880, - "Ġprimate": 34881, - "Ġperformer": 34882, - "translation": 34883, - "ĠMastering": 34884, - "ĠâĨ©": 34885, - "Ġdew": 34886, - "ĠEmissions": 34887, - "Ġacknowledgement": 34888, - "Ġstewards": 34889, - "ĠHuntington": 34890, - "Expression": 34891, - "Advanced": 34892, - "ĠMild": 34893, - "Ġrequisite": 34894, - "Ġcystic": 34895, - "numbered": 34896, - "Ġpredictors": 34897, - "limits": 34898, - "ĠBelize": 34899, - "worthiness": 34900, - "propag": 34901, - "Ġtimedelta": 34902, - "ĠNeurology": 34903, - "ĠNashville": 34904, - "Ġrearrange": 34905, - "buck": 34906, - "Ġnymph": 34907, - "ĠTill": 34908, - "ibe": 34909, - "Ġremission": 34910, - "Ġcontraceptive": 34911, - "ophilia": 34912, - "Ġunderestimated": 34913, - "ĠLarger": 34914, - "Cas": 34915, - "Ġmailing": 34916, - "Ġdancer": 34917, - "ĠDob": 34918, - "ĠStef": 34919, - "Ġexplode": 34920, - "figsize": 34921, - "Ġcrispy": 34922, - "Ġdentures": 34923, - "Ġmildew": 34924, - "Ġbroadcasts": 34925, - "Ġpriesthood": 34926, - "Jones": 34927, - "culation": 34928, - "ĠIroqu": 34929, - "Ġrarity": 34930, - "Ġbrethren": 34931, - "Ġtrademarks": 34932, - "DUCT": 34933, - "TAG": 34934, - "romagnetic": 34935, - "ĠConsequences": 34936, - "ĠAssuming": 34937, - "ĠTracking": 34938, - "ĠLearned": 34939, - "Ġionic": 34940, - "Ġaggregates": 34941, - "ĠHaitian": 34942, - "Ġdissatisfaction": 34943, - "Ġartefacts": 34944, - "Ġundisturbed": 34945, - "Hon": 34946, - "bish": 34947, - "gm": 34948, - "ĠDuck": 34949, - "ĠNamed": 34950, - "iddish": 34951, - "ĠTeams": 34952, - "Ġinflated": 34953, - "ĠSignificant": 34954, - "ĠHarvest": 34955, - "ĠFluid": 34956, - "Ġfingerprints": 34957, - "Fill": 34958, - "ivary": 34959, - "Ġlocking": 34960, - "Ġmagnification": 34961, - "Ġpetrol": 34962, - "Ġsynonym": 34963, - "Ġwarranty": 34964, - "Ġexhilar": 34965, - "ع": 34966, - "Ġslug": 34967, - "ellate": 34968, - "Ġinfrast": 34969, - "Ġhernia": 34970, - "Ġolds": 34971, - "ĠBiom": 34972, - "Ġbiofuel": 34973, - "ĠEstonia": 34974, - "Ġtragedies": 34975, - "belt": 34976, - "dan": 34977, - "æŃ": 34978, - "ieving": 34979, - "Ġunnatural": 34980, - "ĠAsians": 34981, - "Ġbrisk": 34982, - "ĠEmotions": 34983, - "Ġrefriger": 34984, - "nos": 34985, - "islation": 34986, - "ĠSets": 34987, - "Ġsparking": 34988, - "Ġdefendants": 34989, - "ĠFurn": 34990, - "ĠFIG": 34991, - "Ġinterruption": 34992, - "Ġterminate": 34993, - "Ġrevive": 34994, - "Ġpolyps": 34995, - "ĠSymposium": 34996, - "ĠScandinavia": 34997, - "Ġhatching": 34998, - "Ġafflict": 34999, - "Ġreacted": 35000, - "Ġ_____": 35001, - "Ġpropensity": 35002, - "ĠSchne": 35003, - "Urban": 35004, - "/?": 35005, - "Ġnylon": 35006, - "Ġiterate": 35007, - "Ġsued": 35008, - "ĠDelivery": 35009, - "ĠTeh": 35010, - "Ġvisualizations": 35011, - "Ġhandsome": 35012, - "Diabetes": 35013, - "Ġmetaphorical": 35014, - "Ġlexical": 35015, - "æ³": 35016, - "revision": 35017, - "Ġpessim": 35018, - "administ": 35019, - "Ġatrial": 35020, - "Ġdistortions": 35021, - "Ġnovelist": 35022, - "ĠPatricia": 35023, - "Ġsqlalchemy": 35024, - "Ġsyndromes": 35025, - "Dry": 35026, - "Winter": 35027, - "ĠGang": 35028, - "cling": 35029, - "olla": 35030, - "ITION": 35031, - "Ġloader": 35032, - "Ġapology": 35033, - "ĠLiberia": 35034, - "Ġcompensated": 35035, - "ĠTasmania": 35036, - "GN": 35037, - "vt": 35038, - "Ġgenerously": 35039, - "();": 35040, - "Ġelapsed": 35041, - "Ġparrot": 35042, - "starting": 35043, - "Aqu": 35044, - "Ġaortic": 35045, - "Ġtrivia": 35046, - "Ġdont": 35047, - "manual": 35048, - "Ġbehaving": 35049, - "arianism": 35050, - "located": 35051, - "occurring": 35052, - "Ġvapour": 35053, - "daughter": 35054, - "robe": 35055, - "ĠIEP": 35056, - "ĠPreviously": 35057, - "rosive": 35058, - "ĠJudith": 35059, - "Flag": 35060, - "ĠAhmad": 35061, - "Ġthermostat": 35062, - "Ġreintrodu": 35063, - "Ġexits": 35064, - "Ġawakening": 35065, - "ĠGenealog": 35066, - "ĠPentecost": 35067, - "Corn": 35068, - "oliberal": 35069, - "odian": 35070, - "andum": 35071, - "orta": 35072, - "ĠReasons": 35073, - "guid": 35074, - "ĠKumar": 35075, - "sight": 35076, - "uities": 35077, - "Ġthwart": 35078, - "Ġtrailing": 35079, - "ĠMyers": 35080, - "ĠJulie": 35081, - "Component": 35082, - "lp": 35083, - "Ġpenguin": 35084, - "clim": 35085, - "ĠCompliance": 35086, - "Ġshortening": 35087, - "keyword": 35088, - "Ġdealer": 35089, - "म": 35090, - "ĠEmbed": 35091, - "Explanation": 35092, - "Ġdemolition": 35093, - "æĪIJ": 35094, - "ĠBreathing": 35095, - "ĠAutonomous": 35096, - "Dear": 35097, - "icist": 35098, - "idium": 35099, - "ĠMg": 35100, - "queeze": 35101, - "Ġworldly": 35102, - "rigation": 35103, - "Ġvoila": 35104, - "Ġsavvy": 35105, - "Ġplatelets": 35106, - "efficacy": 35107, - "Ġresorting": 35108, - "heartedly": 35109, - "Ġconsonants": 35110, - "Ġmattress": 35111, - "Emp": 35112, - "Mu": 35113, - "Ġmuff": 35114, - "Ġamber": 35115, - "Ġcharities": 35116, - "ĠDebt": 35117, - "Ġbrood": 35118, - "ĠDriving": 35119, - "Ġselects": 35120, - "specified": 35121, - "Ġconvened": 35122, - "-----------------------------": 35123, - "ĠPublisher": 35124, - "Ġnostalgia": 35125, - "hub": 35126, - "Ġunpaid": 35127, - "Ġsituational": 35128, - "Ġflooring": 35129, - "ãĥ¼": 35130, - "Ġasynchronous": 35131, - "âĨĴ": 35132, - "ĠFerguson": 35133, - "Ġmuddy": 35134, - "ĠMAR": 35135, - "ĠPiet": 35136, - "ĠTheme": 35137, - "ĠWR": 35138, 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41669, - "Sci": 41670, - "çIJ": 41671, - "atonic": 41672, - "antage": 41673, - "ĠGift": 41674, - "awatt": 41675, - "Ġbranched": 41676, - "Ġmultiv": 41677, - "ĠChev": 41678, - "ãģĦ": 41679, - "erenced": 41680, - "Ġcannons": 41681, - "Ġvagu": 41682, - "('.//": 41683, - "Ġpears": 41684, - "Ġextermination": 41685, - "ĠBRCA": 41686, - "ĠDive": 41687, - "ĠOA": 41688, - "Ġwills": 41689, - "composition": 41690, - "Ġdelights": 41691, - "Ġlandowner": 41692, - "coe": 41693, - "Ġprobation": 41694, - "ĠFloor": 41695, - "Ġmounts": 41696, - "ĠJournalism": 41697, - "Ġsweetener": 41698, - "ĠAdvice": 41699, - "Edward": 41700, - "ocytic": 41701, - "Ġcommissioners": 41702, - "ozo": 41703, - "Identifying": 41704, - "Ġgorilla": 41705, - "Wrap": 41706, - "unken": 41707, - "Ġwiden": 41708, - "ETA": 41709, - "ĠBrett": 41710, - "ĠErrors": 41711, - "Axis": 41712, - "Ġoo": 41713, - "icile": 41714, - "Ġejected": 41715, - "Ġstitching": 41716, - "ĠSail": 41717, - "ĠCoding": 41718, - "ipur": 41719, - "ĠKell": 41720, 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42901, - "Ġcharacterizes": 42902, - "ĠInstant": 42903, - "ĠContributions": 42904, - "Ġauditing": 42905, - "validator": 42906, - "Äģr": 42907, - "ĠStonehenge": 42908, - "Ġculprits": 42909, - "Ġunderscored": 42910, - "Ġexoplanets": 42911, - "ä¾ĭ": 42912, - "Ġdefinitively": 42913, - "Pip": 42914, - "creating": 42915, - "tze": 42916, - "ĠDSL": 42917, - "Ġsmelling": 42918, - "Ġgrader": 42919, - "ĠResidents": 42920, - "ĠEmory": 42921, - "Ġdeadliest": 42922, - "Ġdiameters": 42923, - "ĠNicolas": 42924, - "Marine": 42925, - "oglobulin": 42926, - "ĠBalkan": 42927, - "arcinoma": 42928, - "ĠPfizer": 42929, - "Ġdystopian": 42930, - ")âĢĿ": 42931, - "chal": 42932, - "actyl": 42933, - "Ġ\",\"": 42934, - "Ġliteratures": 42935, - "Ġnetworked": 42936, - "district": 42937, - "ĠAuthorities": 42938, - "ĠSeparation": 42939, - "MainWindow": 42940, - "ĠKathleen": 42941, - "Presentation": 42942, - "accharide": 42943, - "ĠLisbon": 42944, - "Ġgiraffes": 42945, - "ĠAsperger": 42946, - "ĠFranciscan": 42947, - 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"emptive": 43191, - "steroidal": 43192, - "Ġsearchable": 43193, - "\"]))": 43194, - "Ġdecrees": 43195, - "ĠISP": 43196, - "Ġacknowledgment": 43197, - "Ġadhesives": 43198, - "ĠRudolf": 43199, - "healing": 43200, - "roi": 43201, - "ĠPep": 43202, - "ĠPneum": 43203, - "umina": 43204, - "ĠJL": 43205, - "Ġinvitations": 43206, - "Ġinterdependent": 43207, - "Ġcurtail": 43208, - "shoot": 43209, - "Ġbiopsies": 43210, - "ĠSuitable": 43211, - "STEP": 43212, - "Reason": 43213, - "Ġnarrated": 43214, - "ĠDubai": 43215, - "Ġpauses": 43216, - "Electronic": 43217, - "ĠSequential": 43218, - "Ġsemiconductors": 43219, - "Ġcancellation": 43220, - "ĠStephanie": 43221, - "æµ": 43222, - "erville": 43223, - "ĠUnified": 43224, - "Ġextinctions": 43225, - "Ġcurricular": 43226, - "Ġtreasured": 43227, - "Ġchoke": 43228, - "Ġwelded": 43229, - "ĠDalai": 43230, - "Ġdeformities": 43231, - "Bound": 43232, - "junct": 43233, - "vitamin": 43234, - "Ġsul": 43235, - "league": 43236, - "ĠWonders": 43237, - "ĠFau": 43238, - 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43488, - "Veget": 43489, - "Lily": 43490, - "Ġinclusions": 43491, - "ĠMae": 43492, - "Ġcontends": 43493, - "Ġacclaim": 43494, - "Ġglomer": 43495, - "Ġcaptives": 43496, - "ĠTwentieth": 43497, - "Ġpropane": 43498, - "ĠIrrigation": 43499, - "Ġadmirable": 43500, - "Ġoutlawed": 43501, - "ĠTrying": 43502, - "EXP": 43503, - "ĠLEED": 43504, - "Ġinauguration": 43505, - "Ġencroachment": 43506, - "Actions": 43507, - "pans": 43508, - "|\\": 43509, - "Ġtbsp": 43510, - "Ġpym": 43511, - "Ġpudding": 43512, - "Ġtoggle": 43513, - "entanyl": 43514, - "ĠTYPE": 43515, - "Ġchocol": 43516, - "ĠStages": 43517, - "cystic": 43518, - "Ġconcave": 43519, - "ĠAsset": 43520, - "Ġliquef": 43521, - "ĠConnected": 43522, - "Ġrabbi": 43523, - "Ġdeterministic": 43524, - "routine": 43525, - "-.": 43526, - "aeda": 43527, - "cong": 43528, - "policies": 43529, - "ÙĤ": 43530, - "icher": 43531, - "Ġ(_": 43532, - "ectoral": 43533, - "ĠThur": 43534, - "undo": 43535, - "ecology": 43536, - "Ġdrunken": 43537, - "='/": 43538, - 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"Ġchina": 43636, - "ĠJab": 43637, - "sofar": 43638, - "Ġscrib": 43639, - "inkling": 43640, - "ĠLeast": 43641, - "Ġgeospatial": 43642, - "ĠTransparency": 43643, - "scheme": 43644, - "hythmia": 43645, - "ĠHodg": 43646, - "ubilee": 43647, - "dwell": 43648, - "ticks": 43649, - "inatal": 43650, - "Ġhare": 43651, - "Ġpoke": 43652, - "ĠQin": 43653, - "``,": 43654, - "ĠSchema": 43655, - "ĠEditing": 43656, - "ukes": 43657, - "ĠDeficit": 43658, - "ĠGreenpeace": 43659, - "ĠOutreach": 43660, - "Ġwithdrawing": 43661, - "า": 43662, - "Ġfisherman": 43663, - "ĠBrainstorm": 43664, - "Ġamputation": 43665, - "vian": 43666, - "want": 43667, - "atype": 43668, - "itizing": 43669, - "Ġinp": 43670, - "Ġeaves": 43671, - "ĠFC": 43672, - "ĠNina": 43673, - "Ġsocialize": 43674, - "ĠGuam": 43675, - "omyc": 43676, - "aturity": 43677, - "HOME": 43678, - "Browse": 43679, - "ĠAcknowledge": 43680, - "Pakistan": 43681, - "aer": 43682, - "dq": 43683, - "aturing": 43684, - "emaker": 43685, - "ĠDense": 43686, - "Ġshuff": 43687, - "Ġmegal": 43688, - "pregn": 43689, - "ĠGenomics": 43690, - "Ġannum": 43691, - "ĠVirgil": 43692, - "smooth": 43693, - "existence": 43694, - "ĠSandra": 43695, - "ĠSeparate": 43696, - "ĠLayers": 43697, - "ĠEDT": 43698, - "Ġprotoz": 43699, - "IAN": 43700, - "bh": 43701, - "ÄŁ": 43702, - "Ġhr": 43703, - "utans": 43704, - "opies": 43705, - "Ġrgb": 43706, - "ĠOkin": 43707, - "Ġkinetics": 43708, - "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 43709, - "ylan": 43710, - "Ġknob": 43711, - "Ġoxidized": 43712, - "Speech": 43713, - "Json": 43714, - "fri": 43715, - "Ġbucks": 43716, - "Ġeel": 43717, - "ĠPJ": 43718, - "ĠDRC": 43719, - "ĠNim": 43720, - "tershire": 43721, - "Ġcutters": 43722, - "Ġexcelled": 43723, - "Ġoscillation": 43724, - "Ġreferees": 43725, - "ĠConfucius": 43726, - "leet": 43727, - "olks": 43728, - "ĠBSD": 43729, - "Ġadmon": 43730, - "Ġcommens": 43731, - "Ġuphill": 43732, - "Ġdecel": 43733, - "ĠAlien": 43734, - "ophytes": 43735, - "Ġnoticeably": 43736, - "significant": 43737, - "ĠMacedonian": 43738, - "Wilson": 43739, - "atosis": 43740, - "ĠSERV": 43741, - "ĠCoh": 43742, - "ĠWalls": 43743, - "itext": 43744, - "Ġexponents": 43745, - "ĠEngl": 43746, - "Ġsentimental": 43747, - "ĠPepper": 43748, - "ĠMarin": 43749, - "ĠMissile": 43750, - "Emily": 43751, - "ĠProduce": 43752, - "Ġfen": 43753, - "amber": 43754, - "abets": 43755, - "ĠLus": 43756, - "ellites": 43757, - "iphy": 43758, - "ĠJoa": 43759, - "ovina": 43760, - "Ġgliding": 43761, - "Ġqualifies": 43762, - "Cola": 43763, - "apiro": 43764, - "ĠMartinez": 43765, - "rusions": 43766, - "ĠHyder": 43767, - "Ġfingern": 43768, - "judice": 43769, - "ĠCoordination": 43770, - "ĠAnatolia": 43771, - "Ġladen": 43772, - "Ġwitty": 43773, - "æŀľ": 43774, - "esarean": 43775, - "kon": 43776, - "Ġoracle": 43777, - "strict": 43778, - "ĠCannabis": 43779, - "Ġrang": 43780, - "Ġshunt": 43781, - "lightly": 43782, - "Ġdieting": 43783, - "čĊĉĉĉĉ": 43784, - "âĢ¦..": 43785, - "Shift": 43786, - "ĠSchwarz": 43787, - "[::-": 43788, - "olyb": 43789, - "Ġcontradicts": 43790, - "Ġinhaling": 43791, - "ĠAssyria": 43792, - "Ġeigenvalues": 43793, - "Ġparaphrase": 43794, - "Ġopposites": 43795, - "cens": 43796, - "Ġsaga": 43797, - "ĠMolly": 43798, - "ĠHLA": 43799, - "Ġsubterranean": 43800, - "Ġreprogram": 43801, - "ĠShaping": 43802, - "Ġpathologist": 43803, - "ĠAfterwards": 43804, - "Ġpalae": 43805, - "Ġscripting": 43806, - "ĠAccom": 43807, - "Ġskeptics": 43808, - "Ġvacations": 43809, - "Ġblindly": 43810, - "aternary": 43811, - "ĠCosmic": 43812, - "Ġcrickets": 43813, - "Ġpolyphenols": 43814, - "Ġhilarious": 43815, - "tus": 43816, - "combe": 43817, - "Ġsubdivision": 43818, - "ĠHeating": 43819, - "Ġdepress": 43820, - "measured": 43821, - "ROP": 43822, - "Ġscriptural": 43823, - "ĠInstructional": 43824, - "Ġauspices": 43825, - "Ġartisanal": 43826, - "ĠCarpenter": 43827, - "æ¨": 43828, - "ĠCSI": 43829, - "ĠMate": 43830, - "acio": 43831, - "athy": 43832, - "ĠAnticip": 43833, - "ĠMetals": 43834, - "Constant": 43835, - "Ġescalation": 43836, - "Creative": 43837, - "Ġacquaintances": 43838, - "Ġemanating": 43839, - "Ġfuselage": 43840, - "Msg": 43841, - "Ġabbey": 43842, - "igning": 43843, - "Ġhermit": 43844, - "encycl": 43845, - "Ġsimplex": 43846, - "contour": 43847, - "ĠSuf": 43848, - "ĠPhDs": 43849, - "ĠHammer": 43850, - "ĠWoodrow": 43851, - "Ġmirroring": 43852, - "ĠMagnet": 43853, - "ĠPregnant": 43854, - "Ġhummingbirds": 43855, - "å¼ı": 43856, - "Ġstronghold": 43857, - "MetaInfoClass": 43858, - "GPS": 43859, - "preprocessing": 43860, - "Ġmodernism": 43861, - "ONS": 43862, - "Ġseparator": 43863, - "ĠMetabolic": 43864, - "masters": 43865, - "Ġhorsepower": 43866, - "Ġyeasts": 43867, - "Ġlobster": 43868, - "ĠSusp": 43869, - "ĠAutomated": 43870, - "Ġinpatient": 43871, - "Ġclassed": 43872, - "Ġrestitution": 43873, - "sphere": 43874, - "=\"<": 43875, - "Ġdatas": 43876, - "ĠGuards": 43877, - "ALT": 43878, - "Ġsnout": 43879, - "Received": 43880, - "ĠVoltage": 43881, - "Plastic": 43882, - "Ġgunpowder": 43883, - "ĠPlacement": 43884, - "Ġsplint": 43885, - "sentences": 43886, - "ĠDimensions": 43887, - "Ġdoctrinal": 43888, - "Gram": 43889, - "pies": 43890, - "Intrigued": 43891, - "Ġunsur": 43892, - "twentieth": 43893, - "GRAPH": 43894, - "Operations": 43895, - "ounsaturated": 43896, - "Ġamphibious": 43897, - "ĠVolcano": 43898, - "Ġinconvenient": 43899, - ">\")": 43900, - "fee": 43901, - "ĠčĊĉ": 43902, - "Ġpane": 43903, - "ĠTran": 43904, - "chdir": 43905, - "Ġbegging": 43906, - "),(": 43907, - "Ġpsychotic": 43908, - "Ġtreehouse": 43909, - "Ġwaits": 43910, - "ĠSyracuse": 43911, - "Ġauthentically": 43912, - "Ġbreeder": 43913, - "ĠCasey": 43914, - "ĠCrimes": 43915, - "Ġpadded": 43916, - "Ġwipes": 43917, - "ĠLivestock": 43918, - "ĠSamsung": 43919, - "BooleanField": 43920, - "Ġtouted": 43921, - "SUM": 43922, - "chet": 43923, - "arie": 43924, - "irvana": 43925, - "ĠCBC": 43926, - "ĠPRI": 43927, - "ĠLIB": 43928, - "Ġdecrypt": 43929, - "Ġannals": 43930, - "Ġmotherboard": 43931, - "Ġbuoyancy": 43932, - "Ġconjunctivitis": 43933, 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"agas": 43983, - "ardia": 43984, - "ignon": 43985, - "Changed": 43986, - "])]": 43987, - "vantage": 43988, - "Ġcollars": 43989, - "Ġconverters": 43990, - "Ġsegmented": 43991, - "ĠOccur": 43992, - "ĠInteresting": 43993, - "Ġfarewell": 43994, - "Ġlevied": 43995, - "uckingham": 43996, - "Ġattenuation": 43997, - "Release": 43998, - "SCH": 43999, - "tank": 44000, - "Ġinexperienced": 44001, - "ĠTL": 44002, - "utility": 44003, - "chio": 44004, - "chairs": 44005, - "ĠRSA": 44006, - "endium": 44007, - "apis": 44008, - "ussel": 44009, - "myth": 44010, - "Ġstepper": 44011, - "logged": 44012, - "patrick": 44013, - "adoop": 44014, - "Ġthinly": 44015, - "Ġepidermis": 44016, - "Manufact": 44017, - "ugger": 44018, - "Ġionizing": 44019, - "Ġcautioned": 44020, - "Ġmobilized": 44021, - "ĠHartford": 44022, - "ĠPunishment": 44023, - "dependency": 44024, - "ĠWinnipeg": 44025, - "Ġovereating": 44026, - "Ġdiastolic": 44027, - "Saving": 44028, - "bash": 44029, - "Ġcomed": 44030, - "ĠWrap": 44031, - 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"Ġarrogance": 44676, - "fresh": 44677, - "kid": 44678, - "ĠROM": 44679, - "ĠKick": 44680, - "ossils": 44681, - "autiful": 44682, - "Immun": 44683, - "iosync": 44684, - "Greater": 44685, - "ĠMussolini": 44686, - "gif": 44687, - "jk": 44688, - "Ġmasc": 44689, - "imuth": 44690, - "ĠDEF": 44691, - "ĠGom": 44692, - "actually": 44693, - "ĠJW": 44694, - "concent": 44695, - "cyst": 44696, - "Ġconstrued": 44697, - "Ġtopological": 44698, - "ĠUpdates": 44699, - "missible": 44700, - "ร": 44701, - "Ġvaricose": 44702, - "JC": 44703, - "cgi": 44704, - "Ġcic": 44705, - "Ġnipple": 44706, - "oders": 44707, - "ĠMPs": 44708, - "thor": 44709, - "ĠNairobi": 44710, - "Ġpresided": 44711, - "Ġdecou": 44712, - "Ġcarbox": 44713, - "Ġassociating": 44714, - "Ġspaceflight": 44715, - "ĠAllison": 44716, - "Ġstreak": 44717, - "ĠHolocene": 44718, - "Ġattractiveness": 44719, - "ĠMatthews": 44720, - "Enable": 44721, - "Ġcriticizing": 44722, - "successfully": 44723, - "OUTPUT": 44724, - "Ġmyelin": 44725, - "Evaluation": 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a -i n -h e -Ġ Ġ -r e -o n -e r -Ġt he -a t -Ġ s -Ġ o -e n -Ġ c -e s -Ġ w -n d -i t -o r -i s -a l -Ġ p -in g -Ġ f -a n -e d -Ġ b -o u -a r -Ġ in -Ġo f -Ġ m -Ġa nd -i on -i c -Ġ d -Ġt o -ĠĠ ĠĠ -l e -r o -a s -en t -Ġ h -Ġt h -c t -Ġ e -Ġ re -e l -o m -i l -s t -Ġ l -Ġ n -e t -i m -v e -o l -at ion -Ġ g -i d -Ġ T -s e -Ġ is -u r -u t -r a -l y -c e -o t -â Ģ -c h -o w -i g -Ġb e -Ġ u -Ġf or -Ġs t -Ġ y -Ġ A -v er -a m -ĠĠ Ġ -Ġ S -Ġ on -u l -i r -Ġth at -Ġ I -Ġ C -a y -i f -it h -a d -Ġc on -Ġy ou -Ġa s -Ġp ro -he r -o d -Ġw ith -t er -ĠĠĠĠ ĠĠĠĠ -Ġa n -Ġo r -Ġw h -Ġ it -m ent -Ġa re -Ġa l -g e -es s -is t -Ġe x -Ġ ( -er s -Ġd e -at e -a b -i es -o p -Ġ M -t h -e ct -re s -u s -Ġ P -ĠT he -Ġc om -i v -es t -u m -it y -Ġ he -q u -Ġ v -a c -il l -Ġ B -o re -e m -Ġw e -Ġs u -p p -o s -k e -a nd -ro m -n t -l d -or t -a in -an t -i ve -ig h -o c -Ġ H -Ġ W -i al -Ġc h -Ġb y -Ġ r -u d -Ġ E -ĠĠĠĠ ĠĠĠ -Ġc an -âĢ Ļ -Ġa t -u n -Ġn e -Ġh a -Ġ D -- - -u re -Ġ le -Ġ F -Ġs e -Ġ R -Ġf rom -Ġ en -r i -p e 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as -le aves -st arch -se ma -ĠL ef -Ġev ocative -und ity ----------------- ---------- -Ġz u -Ġrad ii -ĠRed ist -IL Y -cap ac -Ġbio informatics -ĠVer b -Ac ute -ĠRand all -Ġreplic as -ĠDermat ology -- $ -c rum -r anges -ĠH ide -con verter -Ġinv al -Ġsub field -Ġca utions -ĠWe aver -Ġred ox -bl ogs -ĠOpt imal -Key Not -Add Field -ĠSpirit uality -ĠPrint ed -Ġscram bled -Ġperil ous -Ġalph abets -Ġincompet ent -ομ αι -P ont -R uss -a ires -c ine -d rops -Ð Ĵ -Ġy oke -ĠG oose -ĠG ras -Ġk erosene -ĠAs iatic -Ġop acity -ming ton -__( * -Ġcomprehens ively -Ġfilm maker -Ġbrother hood -Ġce mented -ĠHur on -Ġpa ediatric -Ġtoss ing -ĠDin osaur -ĠMack enzie -Ġnymph s -Ġellip se -F ine -k p -ĠE TH -Ġall uvial -ĠTh oreau -Ġded uced -New ton -ĠIN D -obj s -how ever -Ġembed dings -ĠParent al -ĠPu get -Ġovers aw -Ġchim ps -ĠCL R -Ġsam urai -c ampus -m ails -Ġe rection -ĠB ake -ĠE isen -Ġun mist -Ġob long -Ġmed itative -Ġcar riages -Ġeng ravings -Ġstory lines -writ es -dat as -ĠElect ions -vol t -Trans l 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17458, - "ĠEmbracing": 17459, - "roit": 17460, - "cession": 17461, - "Ġcasting": 17462, - "Ġincon": 17463, - "edges": 17464, - "udge": 17465, - "clock": 17466, - "ordon": 17467, - "tox": 17468, - "Ġvisitor": 17469, - "dose": 17470, - "amboo": 17471, - "Ġpist": 17472, - "igraph": 17473, - "Ġlimestone": 17474, - "Ġhosted": 17475, - "eur": 17476, - "apply": 17477, - "Ġplague": 17478, - "Ġunpredict": 17479, - "Ġreper": 17480, - "Ġ(-": 17481, - "Ġawa": 17482, - "document": 17483, - "beit": 17484, - "Ġargparse": 17485, - "Bre": 17486, - "Ġtasty": 17487, - "Ġdownstream": 17488, - "ĠBull": 17489, - "Ġpulmonary": 17490, - "Ġnuances": 17491, - "timestamp": 17492, - "iw": 17493, - "Ġwore": 17494, - "gage": 17495, - "ĠPed": 17496, - "Integer": 17497, - "Ġshrubs": 17498, - "cellular": 17499, - "ĠACT": 17500, - "ĠMember": 17501, - "ibles": 17502, - "Ġclause": 17503, - "utable": 17504, - "Course": 17505, - "ĠRow": 17506, - "Ġdecorated": 17507, - "pk": 17508, - "ĠSad": 17509, - "achine": 17510, - "Ġrunoff": 17511, - "Ġculmin": 17512, - "ulous": 17513, - "Ġserum": 17514, - "Ġveterinarian": 17515, - "ithmetic": 17516, - "price": 17517, - "brates": 17518, - "Ġsimplest": 17519, - "Ġflame": 17520, - "Ġshark": 17521, - "Ġdisinf": 17522, - "Ġactor": 17523, - "Ġincub": 17524, - "Ġtermed": 17525, - "Ġpersistence": 17526, - "Ġic": 17527, - "stones": 17528, - "ĠAlcohol": 17529, - "aceous": 17530, - "driver": 17531, - "Ġrepository": 17532, - "ĠCoord": 17533, - "Ġrecreation": 17534, - "Ġyards": 17535, - "ĠChem": 17536, - "Ġvein": 17537, - "Ġpm": 17538, - "ĠIBM": 17539, - "ĠDefault": 17540, - "Ġpersecution": 17541, - "Ġlearns": 17542, - "ĠOccup": 17543, - "nx": 17544, - "ĠCatal": 17545, - "ĠMR": 17546, - "Ġdiffering": 17547, - "Context": 17548, - "odont": 17549, - "Ġcryptocur": 17550, - "Ġheavier": 17551, - "ĠTro": 17552, - "ĠPubl": 17553, - "Ġtouched": 17554, - "ĠConstruction": 17555, - "Modern": 17556, - "Ġsubtract": 17557, - "erred": 17558, - "Ġlamp": 17559, - "Ġbiography": 17560, - 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"ographics": 17611, - "Ġlongevity": 17612, - "ĠHopkins": 17613, - "Ġcarriers": 17614, - "Ġsigning": 17615, - "Ġimmigrant": 17616, - "font": 17617, - "ivated": 17618, - "pleted": 17619, - "Ġpsychologists": 17620, - "Ang": 17621, - "Ġdip": 17622, - "Ġaviation": 17623, - "Ġneedles": 17624, - "Ġreinforced": 17625, - "Ġnoqa": 17626, - "Ġearnings": 17627, - "Ġinformative": 17628, - "Ġub": 17629, - "Ġinternationally": 17630, - "flag": 17631, - "lasting": 17632, - "Ġtended": 17633, - "tuple": 17634, - "Ġelimination": 17635, - "ĠMalaysia": 17636, - "mont": 17637, - "ĠABC": 17638, - "loader": 17639, - "ĠEthiopia": 17640, - "Ġbru": 17641, - "Ġell": 17642, - "scient": 17643, - "ĠThor": 17644, - "ĠForum": 17645, - "Ġexcel": 17646, - "Total": 17647, - "Ġproactive": 17648, - "ĠHyper": 17649, - "Ġcompassionate": 17650, - "ogly": 17651, - "ĠFestival": 17652, - "break": 17653, - "Ġpave": 17654, - "utenant": 17655, - "Enter": 17656, - "mitt": 17657, - "ĠScripture": 17658, - "Ġsealed": 17659, - 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"Ġcompromised": 17711, - "Ġreferen": 17712, - "headed": 17713, - "Ġproportions": 17714, - "organic": 17715, - "heat": 17716, - "Brit": 17717, - "expensive": 17718, - "Ġhect": 17719, - "units": 17720, - "ĠChron": 17721, - "ĠTrail": 17722, - "sections": 17723, - "ediatrics": 17724, - "Ġmonuments": 17725, - "gex": 17726, - "Ġspawn": 17727, - "negative": 17728, - "academia": 17729, - "fc": 17730, - "Ġasteroid": 17731, - "watch": 17732, - "Ġethn": 17733, - "ĠEvaluation": 17734, - "Ġcivilians": 17735, - "ijing": 17736, - "Ġanth": 17737, - "Ġsnipp": 17738, - "Phone": 17739, - "Ġinheritance": 17740, - "ĠIF": 17741, - "ĠSeattle": 17742, - "Ġrhythms": 17743, - "Ġpurchases": 17744, - "Ġdefence": 17745, - "Ġinviting": 17746, - "Ġdetector": 17747, - "Ġedible": 17748, - "Ġsaves": 17749, - "Ġdeclaration": 17750, - "Ġaerial": 17751, - "speaking": 17752, - "ĠVision": 17753, - "Ġexterior": 17754, - "Ġcleans": 17755, - "ĠCPU": 17756, - "thens": 17757, - "Ġsisters": 17758, - "Ġnesting": 17759, - "ĠPick": 17760, - "Ġmanuscripts": 17761, - "otor": 17762, - "Ġ[[": 17763, - "Ġamphib": 17764, - "Ġcontinents": 17765, - "estyles": 17766, - "Ġverbs": 17767, - "ĠStrategy": 17768, - "Ġsubset": 17769, - "Ġcracks": 17770, - "Ġdestroying": 17771, - "quer": 17772, - "Ġfrontier": 17773, - "Ġcritique": 17774, - "ĠLikewise": 17775, - "Ġbubbles": 17776, - "Command": 17777, - "idating": 17778, - "Ġprosec": 17779, - "oi": 17780, - "Ġsticky": 17781, - "ispens": 17782, - "hetical": 17783, - "Ġfeast": 17784, - "storage": 17785, - "itat": 17786, - "Ġdifferentiation": 17787, - "ference": 17788, - "Ġautoimmune": 17789, - "ancers": 17790, - "respons": 17791, - "Ġbites": 17792, - "ĠPalestinian": 17793, - "################################################################": 17794, - "ĠAgainst": 17795, - "ixty": 17796, - "astype": 17797, - "ĠExperience": 17798, - "ĠRobinson": 17799, - "Ġwelding": 17800, - "ĠIsaac": 17801, - "itol": 17802, - "umble": 17803, - "Ġempowering": 17804, - ":.": 17805, - "Parent": 17806, - "Ġincoming": 17807, - "Ġschema": 17808, - "ĠExchange": 17809, - "Ġportfolio": 17810, - "Ġactivism": 17811, - "Ġposterior": 17812, - "Ġhanded": 17813, - "ĠSummary": 17814, - "æĸ": 17815, - "Ġgates": 17816, - "Ġswitches": 17817, - "Ġathlete": 17818, - "ĠAndroid": 17819, - "Ġμ": 17820, - "ĠAntarctica": 17821, - "ĠâĨĴ": 17822, - "Ġindirectly": 17823, - "Ġanemia": 17824, - "ĠBirth": 17825, - "metrics": 17826, - "ĠSN": 17827, - "Ġ\"--": 17828, - "Ġcorrelated": 17829, - "âĢ²": 17830, - "Ġfaithful": 17831, - "Physical": 17832, - "olithic": 17833, - "asi": 17834, - "Ġmeg": 17835, - "Ġenjoyment": 17836, - "Ġtokens": 17837, - "Ġpunish": 17838, - "Ġmicroscopic": 17839, - "Pop": 17840, - "Ġpodcast": 17841, - "és": 17842, - "osexual": 17843, - "Ġrevelation": 17844, - "Ġvoted": 17845, - "ĠCyber": 17846, - "dra": 17847, - "Ġdeveloper": 17848, - "Ġregim": 17849, - "Ġdeserves": 17850, - "ĠSusan": 17851, - "ĠCB": 17852, - "aby": 17853, - "ĠClinic": 17854, - "olis": 17855, - "Ġcsv": 17856, - "Ġhed": 17857, - "pleasant": 17858, - "}}": 17859, - "ulatory": 17860, - "Ġinterplay": 17861, - "around": 17862, - "Ġannoy": 17863, - "án": 17864, - "Pos": 17865, - "ĠFif": 17866, - "Ġremainder": 17867, - "м": 17868, - "ULL": 17869, - "Ġwillingness": 17870, - "ĠBart": 17871, - "Question": 17872, - "Ġjustified": 17873, - "scores": 17874, - "(['": 17875, - "bus": 17876, - "ĠAlg": 17877, - "Content": 17878, - "fires": 17879, - "Ġexh": 17880, - "Ġrespecting": 17881, - "Ġcoordinated": 17882, - "Enc": 17883, - "ĠExam": 17884, - "Ġastronauts": 17885, - "Such": 17886, - "Ġnov": 17887, - "Ġtechnically": 17888, - "idis": 17889, - "Ġconvincing": 17890, - "thirds": 17891, - "Ġ\"__": 17892, - "../": 17893, - "rimental": 17894, - "otte": 17895, - "ĠBaltimore": 17896, - "ĠMonitor": 17897, - "Ġspinning": 17898, - "odus": 17899, - "Ġshowcasing": 17900, - "reset": 17901, - "Ġcompressed": 17902, - "Ġinvalid": 17903, - "Ġcreator": 17904, - "ĠPicture": 17905, - "ĠMort": 17906, - "years": 17907, - "Ġspreads": 17908, - "criptions": 17909, - "Ġreinforcing": 17910, - "Pass": 17911, - "vest": 17912, - "Ġalliance": 17913, - "Ġendurance": 17914, - "Ġlovely": 17915, - "ĠFoods": 17916, - "Ġencouragement": 17917, - "ĠBelgium": 17918, - "ateur": 17919, - "Ġtrajectory": 17920, - "Examples": 17921, - "Ġdifferentiate": 17922, - "Ġpetroleum": 17923, - "Ġcandy": 17924, - "hill": 17925, - "Ġsickness": 17926, - "elli": 17927, - "Ġproving": 17928, - "Ġhappier": 17929, - "ĠApplied": 17930, - "ollen": 17931, - "member": 17932, - "ĠML": 17933, - "Ġcommitments": 17934, - "Ġtravelers": 17935, - "Arch": 17936, - "Ġincomplete": 17937, - "Ġfastest": 17938, - "tar": 17939, - "Ġsuccession": 17940, - "ĠIndividuals": 17941, - "Ġwoven": 17942, - "Ġvariance": 17943, - "Ġimpose": 17944, - "Ġemitted": 17945, - "Ġgem": 17946, - "aky": 17947, - "Ġdecimal": 17948, - "helial": 17949, - "actly": 17950, - "ĠVacc": 17951, - "ĠCommunications": 17952, - "Ġschizophrenia": 17953, - "Ġescaped": 17954, - "Ġdissertation": 17955, - "Ġbacks": 17956, - "Ġspirituality": 17957, - "ĠMoz": 17958, - "ribing": 17959, - "Exp": 17960, - "ĠPopular": 17961, - "environment": 17962, - "ĠConversely": 17963, - "ELECT": 17964, - "ĠRoberts": 17965, - "Ġvet": 17966, - "Ġhex": 17967, - "Ġfinishing": 17968, - "ĠChallenge": 17969, - "Ġpainter": 17970, - "Ġling": 17971, - "Ġfluoride": 17972, - "Ġaccounted": 17973, - "Ġbronze": 17974, - "ĠDeg": 17975, - "opause": 17976, - "ĠLen": 17977, - "Ġdominance": 17978, - "Article": 17979, - "cuda": 17980, - "ĠSin": 17981, - "Ġpositioned": 17982, - "without": 17983, - "Ġ{}\".": 17984, - "before": 17985, - "Ġgotten": 17986, - "Ġrecordings": 17987, - "ratulations": 17988, - "Ġcontinental": 17989, - "Ġcollision": 17990, - "Ġbunch": 17991, - "arin": 17992, - "Ġcalculator": 17993, - "Ġassisted": 17994, - "ĠIR": 17995, - "__,": 17996, - "Ġimbalance": 17997, - "semin": 17998, - "erers": 17999, - "Resource": 18000, - "Ġchord": 18001, - "rett": 18002, - "ĠLam": 18003, - "Ġunrest": 18004, - "Ġwithstand": 18005, - "ĠImportant": 18006, - "Ġconserve": 18007, - "ucing": 18008, - "comed": 18009, - "Ġsket": 18010, - "Ġmaritime": 18011, - "Ġpositioning": 18012, - "ĠVarious": 18013, - "Ġthreaten": 18014, - "rene": 18015, - "bola": 18016, - "Ġuncovered": 18017, - "ĠTun": 18018, - "Ġgraduates": 18019, - "Ġconsulting": 18020, - "Ġreminds": 18021, - "Ġmerit": 18022, - "Ġparallels": 18023, - "Additional": 18024, - "variable": 18025, - "ĠEngaging": 18026, - "October": 18027, - "_(": 18028, - "Ġelegant": 18029, - "Ġlad": 18030, - "ĠSierra": 18031, - "ĠUSB": 18032, - "Ġlandmark": 18033, - "wick": 18034, - "wikipedia": 18035, - "Ġcolleague": 18036, - "Ġpromptly": 18037, - "Ġruins": 18038, - "rev": 18039, - "Ġarbitrary": 18040, - "program": 18041, - "ĠBeaut": 18042, - "Service": 18043, - "Ġgrateful": 18044, - "filled": 18045, - "Ġchi": 18046, - "ĠStyle": 18047, - "Ġ((": 18048, - "ĠEra": 18049, - "ycle": 18050, - "Ġvolcano": 18051, - "rob": 18052, - "resolution": 18053, - "ĠVeget": 18054, - "ĠCris": 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"oro": 18105, - "Ġcoefficient": 18106, - "Ġmedi": 18107, - "Ġdisparate": 18108, - "Ġtheft": 18109, - "Ġawards": 18110, - "Ġprophet": 18111, - "Ġlibert": 18112, - "umm": 18113, - "Ġremembering": 18114, - "ĠIM": 18115, - "ĠIg": 18116, - "Ġairplane": 18117, - "ĠPale": 18118, - "ĠBreak": 18119, - "Ġbasketball": 18120, - "Ġexclude": 18121, - "annah": 18122, - "Ġremot": 18123, - "Ġliberation": 18124, - "ĠObservatory": 18125, - "ĠLith": 18126, - "ĠConstant": 18127, - ">,": 18128, - "Ġvisc": 18129, - "Ġindispens": 18130, - "Ġmushrooms": 18131, - "]+": 18132, - "lyn": 18133, - "Ġunrelated": 18134, - "Ġquarters": 18135, - "ĠContinue": 18136, - "Ġwavelength": 18137, - "ĠLate": 18138, - "Ġlegends": 18139, - "media": 18140, - "Ġpsychiatric": 18141, - "Ġlawsu": 18142, - "Ġbonding": 18143, - "uba": 18144, - "ĠReligious": 18145, - "Ġcelestial": 18146, - "otics": 18147, - "Ġthunder": 18148, - "Ġpopulated": 18149, - "icrobial": 18150, - "UB": 18151, - "Ġhurd": 18152, - "Ġresin": 18153, - "lr": 18154, - "ÃŃa": 18155, - "Ġaccumulate": 18156, - "Ġqueue": 18157, - "Ġintentional": 18158, - "ĠBatt": 18159, - "ĠPalace": 18160, - "Ġcatastrophic": 18161, - "Serial": 18162, - "ĠHPV": 18163, - "Ġabbre": 18164, - "ilage": 18165, - "Ġrisky": 18166, - "Ġsafeguard": 18167, - "Ġfacilitates": 18168, - "frac": 18169, - "Ġfasting": 18170, - "ĠSteve": 18171, - "ĠBY": 18172, - "Ġmirrors": 18173, - "utation": 18174, - "hyth": 18175, - "ĠColumbus": 18176, - "Press": 18177, - "Ġbent": 18178, - "chy": 18179, - "Ġdressed": 18180, - "idency": 18181, - "ĠAnthony": 18182, - "Ġemergencies": 18183, - "ocrine": 18184, - "Ġspokes": 18185, - "ĠPerm": 18186, - "ĠHarris": 18187, - "pick": 18188, - "Ġtranslations": 18189, - "Ġtones": 18190, - "ploys": 18191, - "Ġwip": 18192, - "Ġnm": 18193, - "ĠHyp": 18194, - "Ġrestoring": 18195, - "Ġaccumulated": 18196, - "erican": 18197, - "Ġaccomplishments": 18198, - "ĠAlternatively": 18199, - "ĠWelsh": 18200, - "utt": 18201, - "Ġspecifications": 18202, - "dit": 18203, - "ĠBurn": 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"ĠComplete": 18254, - "Ġpassions": 18255, - "ĠLetters": 18256, - "inical": 18257, - "Ġgloss": 18258, - "ĠInvestig": 18259, - "Ġdelightful": 18260, - "Ġprojection": 18261, - "ĠAfricans": 18262, - "ivo": 18263, - "occup": 18264, - "æķ°": 18265, - "Ġleisure": 18266, - "artha": 18267, - "lad": 18268, - "ĠDanish": 18269, - "Ġundergoing": 18270, - "Ġcoalition": 18271, - "buffer": 18272, - "ĠEld": 18273, - "Ġqualify": 18274, - "Ġtransistors": 18275, - "è¿": 18276, - "Gs": 18277, - "Å«": 18278, - "ĠSent": 18279, - "Ġads": 18280, - "__)": 18281, - "Ġteamwork": 18282, - "ĠDesert": 18283, - "Ġgarbage": 18284, - "ĠForces": 18285, - "Ġparenting": 18286, - "Ġquestioned": 18287, - "ĠEnsure": 18288, - "las": 18289, - "binary": 18290, - "ĠPle": 18291, - "}'": 18292, - "ĠKid": 18293, - "Ġlithium": 18294, - "Ġfeared": 18295, - "Ġspanning": 18296, - "inctions": 18297, - "ochemistry": 18298, - "PER": 18299, - "ructions": 18300, - "Ġchromosomes": 18301, - "cpu": 18302, - "Ġhitting": 18303, - "Ġdefinitive": 18304, - "Ġdub": 18305, - "Ġformulas": 18306, - "Ġtimeless": 18307, - "ĠIncreased": 18308, - "EXT": 18309, - "å®": 18310, - "uffle": 18311, - "ĠPsychological": 18312, - "osaic": 18313, - "Ġequip": 18314, - "Ġimproper": 18315, - "ĠAlmost": 18316, - "Ġaccessing": 18317, - "ĠCommunities": 18318, - "icus": 18319, - "Contact": 18320, - "ĠPand": 18321, - "ĠThinking": 18322, - "Ġkindergarten": 18323, - "ĠInnovation": 18324, - "Ġvoc": 18325, - "Ġrotating": 18326, - "compat": 18327, - "Ġobey": 18328, - "__()": 18329, - "Ġphysiology": 18330, - "swith": 18331, - "Ġultra": 18332, - ".**": 18333, - ".[": 18334, - "NC": 18335, - "Ġ'_": 18336, - "ĠNepal": 18337, - "Ġwedding": 18338, - "Ġgrinding": 18339, - "Ġamend": 18340, - "Ġbrack": 18341, - "ĠKeeping": 18342, - "osterone": 18343, - "Ġpdf": 18344, - "Ġchickens": 18345, - "Ġyogurt": 18346, - "summary": 18347, - "Ġsteadily": 18348, - "Jew": 18349, - "Ġcomprising": 18350, - "Ġcongress": 18351, - "icularly": 18352, - "Ġsecretary": 18353, - "Ġgenerous": 18354, - "Ġgolf": 18355, - "optional": 18356, - "Ġmate": 18357, - "environ": 18358, - "isers": 18359, - "Ġpolyn": 18360, - "Ġrated": 18361, - "Ġaccountable": 18362, - "Ġvulnerabilities": 18363, - "raviolet": 18364, - "NASA": 18365, - "Ġtours": 18366, - "hex": 18367, - "Ġamendment": 18368, - "ĠIL": 18369, - "ockey": 18370, - "Ġhelic": 18371, - "ĠBerg": 18372, - "Ġstudio": 18373, - "Ġeruption": 18374, - "Ġfabrics": 18375, - "Ġtran": 18376, - "Ġerupt": 18377, - "ĠEngineers": 18378, - "ĠVar": 18379, - "./": 18380, - "Ġrobotic": 18381, - "correct": 18382, - "ĠBrief": 18383, - "Ġinvestigators": 18384, - "ĠSW": 18385, - "ĠDh": 18386, - "Ġimplants": 18387, - "Ġrepetition": 18388, - "astical": 18389, - "ĠLeadership": 18390, - "ĠXML": 18391, - "Ġconsequently": 18392, - "Ġpreceding": 18393, - "liness": 18394, - "Ġ\"-": 18395, - "Ġasyn": 18396, - "Ġunh": 18397, - "Ġuphold": 18398, - "Ġturbine": 18399, - "Ġyesterday": 18400, - "Ġteasp": 18401, - "ĠArkansas": 18402, - "System": 18403, - "Ġscaling": 18404, - "Ġinherently": 18405, - "ĠReports": 18406, - "Ġsprings": 18407, - "Ñĭ": 18408, - "published": 18409, - "Ġstance": 18410, - "ĠFab": 18411, - "orting": 18412, - "Ġrealities": 18413, - "prising": 18414, - "Ġrealism": 18415, - "Ġresponsive": 18416, - "ĠOrigins": 18417, - "Ġtwin": 18418, - "Ġtranslates": 18419, - "Ġcomprise": 18420, - "Ġworm": 18421, - "anyon": 18422, - "Ġperfection": 18423, - "Ġreviewers": 18424, - "Ġepile": 18425, - "Ġhurricane": 18426, - "ĠTar": 18427, - "ĠAddress": 18428, - "Ġdisplaying": 18429, - "Ġforgiveness": 18430, - "many": 18431, - "ilk": 18432, - "emade": 18433, - ")+": 18434, - "Ġtin": 18435, - "ĠSeven": 18436, - "safe": 18437, - "Ġaccelerated": 18438, - "Ġscared": 18439, - "Ġeditorial": 18440, - "Ġwrist": 18441, - "Ġunpleasant": 18442, - "Core": 18443, - "Ġesoph": 18444, - "ĠNAT": 18445, - "Ġapparatus": 18446, - "ĠGate": 18447, - "dup": 18448, - "pix": 18449, - "ctory": 18450, - "ĠFROM": 18451, - "ĠChris": 18452, - "heim": 18453, - "Description": 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"ĠArtificial": 18600, - "Ġì": 18601, - "Ġcentr": 18602, - "Ġpsychologist": 18603, - "Ġradicals": 18604, - "kn": 18605, - "Ġrope": 18606, - "ĠTransportation": 18607, - "Ġonions": 18608, - "ĠOral": 18609, - "ĠInternal": 18610, - "Ġpilots": 18611, - "ĠAvenue": 18612, - "Ġclinicians": 18613, - "å¤": 18614, - "stick": 18615, - "Ġparasite": 18616, - "Ġciting": 18617, - "Ġdeposited": 18618, - "Ġfloors": 18619, - "ĠNam": 18620, - "Block": 18621, - "plication": 18622, - "ĠClinton": 18623, - "ÏĤ": 18624, - "colors": 18625, - "Ġethanol": 18626, - "degree": 18627, - "Ġsmiled": 18628, - "White": 18629, - "ĠLA": 18630, - "Ġpancreat": 18631, - "Ġinexpensive": 18632, - "ĠYang": 18633, - "Ġstrengthens": 18634, - "Ġlifespan": 18635, - "Ġenergies": 18636, - "oic": 18637, - "Ġdigits": 18638, - "Ġvaccinated": 18639, - "Instead": 18640, - "Ġgenius": 18641, - "Ġnails": 18642, - "Ġclinics": 18643, - "ĠSuppose": 18644, - "ä½": 18645, - "Ġthirst": 18646, - "carbon": 18647, - "Ġcarrots": 18648, - "Ġinhabited": 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"Almost": 18700, - "ĠIllust": 18701, - "Ġobscure": 18702, - "ogeneous": 18703, - "Ġprobable": 18704, - "Ġpursued": 18705, - "Ġcoherent": 18706, - "ĠPriv": 18707, - "ÏĢ": 18708, - "ĠArticles": 18709, - "ĠTip": 18710, - "ĠRailroad": 18711, - "Ġlubric": 18712, - "Bs": 18713, - "ĠSubst": 18714, - "Ġactivist": 18715, - "Ġproportional": 18716, - "Ġcigarette": 18717, - "ĠDiversity": 18718, - "pection": 18719, - "Ġpottery": 18720, - "Ġhorror": 18721, - "ĠSubject": 18722, - "Ġcleared": 18723, - "Ġneglected": 18724, - "Design": 18725, - "Ġnationalism": 18726, - "hou": 18727, - "Published": 18728, - "Ġward": 18729, - "Ġworkout": 18730, - "Ġrepeating": 18731, - "Ġconfidently": 18732, - "Ġdeceased": 18733, - "ften": 18734, - "ĠMorgan": 18735, - "ür": 18736, - "ean": 18737, - "ĠLanka": 18738, - "Prim": 18739, - "Ġsewage": 18740, - "Ġcompetent": 18741, - "ĠJuan": 18742, - "Ġcorporation": 18743, - "Ġ[-": 18744, - "Ġevaluations": 18745, - "ĠJos": 18746, - "Ġbelly": 18747, - "Ġsusceptibility": 18748, - 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"verbal": 19450, - "ificance": 19451, - "Ġcredited": 19452, - "Ġfellows": 19453, - "gone": 19454, - "ĠNavigating": 19455, - "oS": 19456, - "ĠAdjust": 19457, - "Ġhoused": 19458, - "Ġowing": 19459, - "Ġanonymous": 19460, - "Ġhonour": 19461, - "ĠEncouraging": 19462, - "dings": 19463, - "Ġgospel": 19464, - "essed": 19465, - "ĠFamilies": 19466, - "rators": 19467, - "Ġseals": 19468, - "Ġupwards": 19469, - "ĠHealthcare": 19470, - "ĠUkrain": 19471, - "Ġfirsthand": 19472, - "Ġobservers": 19473, - "Ġsupreme": 19474, - "kill": 19475, - "ĠPapers": 19476, - "growth": 19477, - "ĠMade": 19478, - "Ġnonfiction": 19479, - "cott": 19480, - "ĠWol": 19481, - "assed": 19482, - "Ġsuccessive": 19483, - "Ġconcise": 19484, - "Ġsuspension": 19485, - "arange": 19486, - "uder": 19487, - "dump": 19488, - "frames": 19489, - "ĠMis": 19490, - "Ġsupplementation": 19491, - "Ġnaming": 19492, - "ĠGenetic": 19493, - "Ġfragment": 19494, - "geo": 19495, - "oske": 19496, - "Ġperv": 19497, - "ĠNorwegian": 19498, - 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23221, - "ĠMiami": 23222, - "Ġeps": 23223, - "Ġappre": 23224, - "Ġchairman": 23225, - "bishop": 23226, - "âĨ": 23227, - "iculture": 23228, - "balanced": 23229, - "aton": 23230, - "ĠPradesh": 23231, - "urer": 23232, - "rigger": 23233, - "ĠNT": 23234, - "Ġprecursor": 23235, - "nee": 23236, - "Ġnonetheless": 23237, - "ĠNeeds": 23238, - "unittest": 23239, - "ĠDys": 23240, - "ĠVit": 23241, - "Ġoffenders": 23242, - "prev": 23243, - "ĠSteven": 23244, - "Ġshuttle": 23245, - "Ġphysicists": 23246, - "Ġpant": 23247, - "Ġreminiscent": 23248, - "Ġtenth": 23249, - "Ġauction": 23250, - "Ġmonster": 23251, - "Ġoriginating": 23252, - "Ġconcentrating": 23253, - "lia": 23254, - "Ġcomposting": 23255, - "Ġgraphene": 23256, - "lycer": 23257, - "Ġspecifies": 23258, - "ĠExpect": 23259, - "Optional": 23260, - "Ġimprisonment": 23261, - "Ġprepares": 23262, - "Ġnicely": 23263, - "Ġtorque": 23264, - "ĠCambodia": 23265, - "lasses": 23266, - "Ox": 23267, - "Ġanalysed": 23268, - "Ġexceeding": 23269, - "Ġeruptions": 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"ĠLancet": 26352, - "uously": 26353, - "ĠLux": 26354, - "Ġquarant": 26355, - "Ġdemise": 26356, - "ĠPod": 26357, - "ĠAlgebra": 26358, - "Ġcracking": 26359, - "Ġattachments": 26360, - "official": 26361, - "Ġirreversible": 26362, - "oped": 26363, - "ère": 26364, - "Ġhath": 26365, - "vered": 26366, - "formal": 26367, - "Ġexcavated": 26368, - "later": 26369, - "ĠVlad": 26370, - "ĠImam": 26371, - "Ġboarding": 26372, - "ĠSocialist": 26373, - "Ġliabilities": 26374, - "Ġsubgen": 26375, - "Ġcrabs": 26376, - "ĠInteractive": 26377, - "ĠSpeaking": 26378, - "protocol": 26379, - "Focus": 26380, - "Ġspills": 26381, - "identified": 26382, - "ĠAuton": 26383, - "Ġinsignificant": 26384, - "City": 26385, - "wx": 26386, - "¢": 26387, - "Ġbrightly": 26388, - "Ġrestart": 26389, - "Ġtroubled": 26390, - "Ġhonors": 26391, - "hov": 26392, - "Ġbizarre": 26393, - "idates": 26394, - "ĠRy": 26395, - "INTER": 26396, - "Ġtoug": 26397, - "ĠHabitat": 26398, - "ĠProbably": 26399, - "Ġreclaim": 26400, - "raz": 26401, - 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"raisal": 26503, - "ĠMakes": 26504, - "Ġdepended": 26505, - "Ġinitialize": 26506, - "ĠObst": 26507, - "ĠEnterprise": 26508, - "ĠJur": 26509, - "Ġrapp": 26510, - "Ġbreadth": 26511, - "lining": 26512, - "Ġinactive": 26513, - "ĠOdys": 26514, - "ĠRunning": 26515, - "Ġdias": 26516, - "playing": 26517, - "Ġplugin": 26518, - "æł": 26519, - "Ġdeed": 26520, - "ĠShell": 26521, - "tax": 26522, - "Ġmiracul": 26523, - "Need": 26524, - "linalg": 26525, - "ouched": 26526, - "need": 26527, - "Ġparticulate": 26528, - "productive": 26529, - "ĠSpringer": 26530, - "ĠPharmac": 26531, - "Ca": 26532, - "Give": 26533, - "Ġdyst": 26534, - "ĠTopic": 26535, - "soil": 26536, - "Ġdirecting": 26537, - "Ġglowing": 26538, - "Ġcaterpillars": 26539, - "strings": 26540, - "ĠAttention": 26541, - "Ġseller": 26542, - "Ġembedding": 26543, - "Ġinconven": 26544, - "ĠGilbert": 26545, - "templ": 26546, - "ë": 26547, - "Ġery": 26548, - "Ġinception": 26549, - "ogh": 26550, - "Ġscav": 26551, - "Ġdengue": 26552, - "Ġsurrounds": 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"integration": 26653, - "Ġcousins": 26654, - "pit": 26655, - "Ġjeopard": 26656, - "Ġpeasant": 26657, - "ĠMAT": 26658, - "plasia": 26659, - "Prog": 26660, - "Ġpitfalls": 26661, - "ogeneity": 26662, - "iman": 26663, - "Ġstuffed": 26664, - "ĠMapping": 26665, - "ĠOCD": 26666, - "liable": 26667, - "Ġrestricting": 26668, - "Ġdisrupting": 26669, - "Bad": 26670, - "ĠEdmund": 26671, - "ĠDrop": 26672, - "Ġprefers": 26673, - "ĠInfection": 26674, - "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 26675, - "Sarah": 26676, - "Ġgenerosity": 26677, - "locations": 26678, - "Ġpalms": 26679, - "aggering": 26680, - "cook": 26681, - "ĠAffect": 26682, - "Ġplaster": 26683, - "ĠRobin": 26684, - "ĠNormally": 26685, - "Ġcounteract": 26686, - "Schema": 26687, - "Tip": 26688, - "Ġrealms": 26689, - "ushima": 26690, - "Ġrepeats": 26691, - "Native": 26692, - "Ġwithdrawn": 26693, - "Ġmicron": 26694, - "];": 26695, - "Ġmustard": 26696, - "º": 26697, - "ĠSmoking": 26698, - "Ġglyc": 26699, - 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"ĠCorrect": 26800, - "Ġimmersed": 26801, - "does": 26802, - "imshow": 26803, - "Ġspam": 26804, - "ĠKB": 26805, - "Ġairflow": 26806, - "ĠIDE": 26807, - "Ġpertains": 26808, - "Ġgrav": 26809, - "Ġsupplemental": 26810, - "allowed": 26811, - "ĠComponents": 26812, - "Ġaided": 26813, - "Ġoath": 26814, - "Ġhues": 26815, - "ĠAlger": 26816, - "Ġbrushes": 26817, - "Ġibn": 26818, - "ĠCONDITIONS": 26819, - "Ġsi": 26820, - "ĠGust": 26821, - "]|": 26822, - "asus": 26823, - "ĠMall": 26824, - "Ġprisons": 26825, - "MES": 26826, - "Ġexcluding": 26827, - "abling": 26828, - "acillus": 26829, - "ĠBO": 26830, - "posite": 26831, - "Ġtransformer": 26832, - "Ġrewarded": 26833, - "Benefits": 26834, - "á½": 26835, - "arner": 26836, - "Ġbooster": 26837, - "Ġnickname": 26838, - "Left": 26839, - "etz": 26840, - "ĠOUT": 26841, - "Ġconserved": 26842, - "Hi": 26843, - "nament": 26844, - "Ġchin": 26845, - "byte": 26846, - "ĠMonument": 26847, - "Compar": 26848, - "ĠCapitol": 26849, - "Ġalgebraic": 26850, - "itian": 26851, - "ĠInclude": 26852, - "Ġfarmland": 26853, - "osphate": 26854, - "Ġtowels": 26855, - "ĠPalestinians": 26856, - "ĠYellowstone": 26857, - "Ġnemat": 26858, - "Ġdisclose": 26859, - "Ġcircumstance": 26860, - "America": 26861, - "Ġsyllables": 26862, - "Mex": 26863, - "arist": 26864, - "endpoint": 26865, - "ĠGraduate": 26866, - "Ġventures": 26867, - "Meet": 26868, - "directed": 26869, - "Ġrefreshing": 26870, - "andel": 26871, - "assy": 26872, - "ĠVes": 26873, - "etyl": 26874, - "ĠPCB": 26875, - "Ġilluminating": 26876, - "ingling": 26877, - "ĠMM": 26878, - "ĠFant": 26879, - "Ġdrums": 26880, - "Ġcysts": 26881, - "ĠBlake": 26882, - "ĠDrink": 26883, - "Ġmixtures": 26884, - "Ġspelled": 26885, - "ĊĊĊĠĠĠĠĠĠĠ": 26886, - "Ġshareholders": 26887, - "Vector": 26888, - "Ġquart": 26889, - "ĠLeaders": 26890, - "anism": 26891, - "Ġantit": 26892, - "Ġfrontal": 26893, - "Ġwiki": 26894, - "Ġdecolon": 26895, - "Ġvisuals": 26896, - "ĠCollections": 26897, - "Gal": 26898, - "pipe": 26899, - "yrin": 26900, - "Ġsmoother": 26901, - ")')": 26902, - "Email": 26903, - "Finding": 26904, - "ĠMold": 26905, - "Ġcohesive": 26906, - "ĠGenome": 26907, - "Ġmanifested": 26908, - "Ġsuspects": 26909, - "Calcul": 26910, - "Ġrefinement": 26911, - "Ġstray": 26912, - "()):": 26913, - "accessible": 26914, - "ĠTheodore": 26915, - "linspace": 26916, - "raines": 26917, - "ĠMira": 26918, - "floor": 26919, - "Ġdrafting": 26920, - "Ġcuring": 26921, - "arate": 26922, - "akening": 26923, - "Ġradically": 26924, - "Ċĉĉĉĉĉĉĉĉĉĉ": 26925, - "Xiv": 26926, - "Ġencountering": 26927, - "ugged": 26928, - "actively": 26929, - "incinn": 26930, - "Ġseawater": 26931, - "asgow": 26932, - "dry": 26933, - "umbs": 26934, - "updated": 26935, - "Ġdescending": 26936, - "Ġeconomist": 26937, - "Ġtermination": 26938, - "Ġlaborers": 26939, - "ĠFran": 26940, - "Ġnested": 26941, - "Ġgrit": 26942, - "Ġhen": 26943, - "Ġartific": 26944, - "Ġtranscends": 26945, - "Ġneatly": 26946, - "Ġcanonical": 26947, - "oing": 26948, - "Ġmorb": 26949, - "Ġdyslexia": 26950, - "个": 26951, - "Ġdisparity": 26952, - "uling": 26953, - "Ġpermiss": 26954, - "ĠDomain": 26955, - "ĠDiagnosis": 26956, - "Ġplateau": 26957, - "ĠNeuroscience": 26958, - "arers": 26959, - "ĠTrack": 26960, - "oseph": 26961, - "Parameters": 26962, - "Ġutterly": 26963, - "Ġpatented": 26964, - "Ġlice": 26965, - "Previous": 26966, - "Ġtracts": 26967, - "nem": 26968, - "Ġum": 26969, - "Ġpatriot": 26970, - "ĠGabriel": 26971, - "jug": 26972, - "Ġharmonic": 26973, - "Ġhalfway": 26974, - "Ġbake": 26975, - "omp": 26976, - "Ġmediated": 26977, - "Ġassociates": 26978, - "Ġscriptures": 26979, - "ĠAdventure": 26980, - "ĠKrishna": 26981, - "marg": 26982, - "Ġugly": 26983, - "ĠCraig": 26984, - "Person": 26985, - "å°": 26986, - "Ġdaring": 26987, - "staff": 26988, - "Ġseize": 26989, - "ĠNegative": 26990, - "Ġavocado": 26991, - "ĠAppendix": 26992, - "Ġfreshly": 26993, - "Ġcatastrophe": 26994, - "Ġreferend": 26995, - "Ġspells": 26996, - "ophone": 26997, - "runner": 26998, - "Far": 26999, - "osin": 27000, - "ĠWald": 27001, - "ĠRwanda": 27002, - "Ġjumps": 27003, - "Ġresistor": 27004, - "Ġmountainous": 27005, - "ĠChang": 27006, - "Prob": 27007, - "Ġbureauc": 27008, - "Ġsine": 27009, - "placed": 27010, - "ि": 27011, - "GF": 27012, - "Germ": 27013, - "acl": 27014, - "iban": 27015, - "Ġjars": 27016, - "Inv": 27017, - "paramet": 27018, - "Ġfamiliarize": 27019, - "ĠBASIS": 27020, - "verter": 27021, - "perhaps": 27022, - "Ġrenewables": 27023, - "ĠInfluence": 27024, - "Sen": 27025, - "iteration": 27026, - "Ġconsumes": 27027, - "ĠMuscle": 27028, - "ĠFeeling": 27029, - "Ġcue": 27030, - "Ġblends": 27031, - "oxins": 27032, - "Ġmandated": 27033, - "osome": 27034, - "holding": 27035, - "Ġarranging": 27036, - "Arthur": 27037, - "ĠProcesses": 27038, - "ERSION": 27039, - "...,": 27040, - "letters": 27041, - "ĠEmpower": 27042, - "ĠEfficiency": 27043, - "Ġdisposition": 27044, - "ronts": 27045, - "Ġgenders": 27046, - "rapeutic": 27047, - "thinking": 27048, - "aclass": 27049, - "Ġturnover": 27050, - "ĠSacred": 27051, - "Mill": 27052, - "WD": 27053, - "Ã¥": 27054, - "Ġranc": 27055, - "Ġanatomical": 27056, - "wire": 27057, - "ĠCul": 27058, - "Ġreliably": 27059, - "Ġamen": 27060, - "endswith": 27061, - "Ġkale": 27062, - "Ġreadable": 27063, - "guided": 27064, - "ĠFul": 27065, - "maybe": 27066, - "Ġtilt": 27067, - "Ġoranges": 27068, - "ĠStars": 27069, - "Ġinitiating": 27070, - "Ġlingering": 27071, - "ucaly": 27072, - "Ġobjection": 27073, - "assertIs": 27074, - "Ġintrospection": 27075, - "ĠCarr": 27076, - "photo": 27077, - "Ġdiffuse": 27078, - "Ġdepiction": 27079, - "chip": 27080, - "Ġsting": 27081, - "ĠSax": 27082, - "acic": 27083, - "ĠKepler": 27084, - "ABILITY": 27085, - "Ġintimidating": 27086, - "Ġsuperheroes": 27087, - "Ġaccredited": 27088, - "Ġtheat": 27089, - "Ġavian": 27090, - "ischer": 27091, - "ĠAttorney": 27092, - "ĠMunich": 27093, - "ipelago": 27094, - "ĠOste": 27095, - "Ġseminars": 27096, - "flatten": 27097, - "âĹı": 27098, - "bred": 27099, - "bows": 27100, - "ĠCopenhagen": 27101, - "resa": 27102, - "Ġevergreen": 27103, - "Ġpronouns": 27104, - "Ġechoes": 27105, - "ĠIan": 27106, - "Ġprosecution": 27107, - "ĠHaven": 27108, - "Ġauthorization": 27109, - "Ġterminals": 27110, - "Ġpolyg": 27111, - "Ġartifact": 27112, - "Ġadhesion": 27113, - "CRE": 27114, - "ĠPediatric": 27115, - "traumatic": 27116, - "ĠCBT": 27117, - "asha": 27118, - "ĠPlat": 27119, - "Ġdisciplinary": 27120, - "Ġalteration": 27121, - "ĠSandy": 27122, - "adows": 27123, - "Ġvicious": 27124, - "ĠUI": 27125, - "Ġconstrained": 27126, - "Ġimb": 27127, - "Ġpreaching": 27128, - "impact": 27129, - "Ġprogen": 27130, - "shared": 27131, - "Ġcracked": 27132, - "Books": 27133, - "awk": 27134, - "Exercise": 27135, - "BU": 27136, - "Remove": 27137, - "Ġneuronal": 27138, - "ĠScriptures": 27139, - "Japanese": 27140, - "ï¬ģ": 27141, - "Sep": 27142, - "atology": 27143, - "Ġreap": 27144, - "Ġ()": 27145, - "Ġjur": 27146, - "Ġdowns": 27147, - "Price": 27148, - "ĠSV": 27149, - "Ġperce": 27150, - 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29872, - "Ġrevisit": 29873, - "bag": 29874, - "dic": 29875, - "Ġhides": 29876, - "Ġthromb": 29877, - "ipot": 29878, - "veniles": 29879, - "Ġviolin": 29880, - "amburg": 29881, - "ĠMemphis": 29882, - "lv": 29883, - "ĠDS": 29884, - "Ġtrimes": 29885, - "Ġprecaution": 29886, - "Values": 29887, - "Ġuterine": 29888, - "Ġtetra": 29889, - "Ġmarshes": 29890, - "Ġgru": 29891, - "Ġcaption": 29892, - "ĠComing": 29893, - "Ġfireworks": 29894, - "ĠSOFTWARE": 29895, - "Ġattributable": 29896, - "istries": 29897, - "Ġpitu": 29898, - "Ġrevolves": 29899, - "ĠConservative": 29900, - "ĠAe": 29901, - "ĠCer": 29902, - "Ġemblem": 29903, - "Ġthinning": 29904, - "Ġfountain": 29905, - "aksh": 29906, - "ĠBlind": 29907, - "ĠSquad": 29908, - "Ġarte": 29909, - "uttering": 29910, - "Ġantigens": 29911, - "sid": 29912, - "otoxic": 29913, - "ĠLav": 29914, - "ĠGlac": 29915, - "Ġguessing": 29916, - "ãĢģ": 29917, - "ĠPictures": 29918, - "Rele": 29919, - "ĠWiki": 29920, - "arynge": 29921, - "listdir": 29922, - "Ġbleach": 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"Diet": 30272, - "ζ": 30273, - "roly": 30274, - "Ġperfor": 30275, - "metal": 30276, - "ĠSlave": 30277, - "Ġgracefully": 30278, - "Ġneurotransmitters": 30279, - "ĠCin": 30280, - "geometry": 30281, - "ogas": 30282, - "Ġsunk": 30283, - "ĠSerge": 30284, - "ĠKenneth": 30285, - "ĠDuncan": 30286, - "Ġmisconduct": 30287, - "near": 30288, - "ĠNu": 30289, - "Ġplac": 30290, - "Ġsmiling": 30291, - "filtered": 30292, - "Ġpersuaded": 30293, - "Ġgrooming": 30294, - "Ġicy": 30295, - "ĠPrel": 30296, - "ĠDy": 30297, - ".....": 30298, - "ERN": 30299, - "Ray": 30300, - "Ġincision": 30301, - "Ġdirects": 30302, - "Ġnarrowing": 30303, - "Ġdesperately": 30304, - "mort": 30305, - "orean": 30306, - "Ġinvoked": 30307, - "ĠShop": 30308, - "Ġeldest": 30309, - "Earl": 30310, - "agara": 30311, - "Ġimprint": 30312, - "Ġxen": 30313, - "čĊčĊĠĠĠĠĠĠĠĠĠĠĠ": 30314, - "ĠBrooks": 30315, - "MODEL": 30316, - "Typ": 30317, - "kov": 30318, - "abetics": 30319, - "Ġmoods": 30320, - "ĠMeditation": 30321, - "Ġobservance": 30322, - 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"HOST": 30373, - "Ġimprovis": 30374, - "Ġdevastation": 30375, - "Points": 30376, - "Ġenlightened": 30377, - "another": 30378, - "ĠTale": 30379, - "Ġliters": 30380, - "rhosis": 30381, - "Ġ(~": 30382, - "COMP": 30383, - "rotation": 30384, - "igmatic": 30385, - "Feeling": 30386, - "ĠIntroducing": 30387, - "san": 30388, - "virus": 30389, - "Ġtempted": 30390, - "IntegerField": 30391, - "NOTE": 30392, - "KD": 30393, - "dynamic": 30394, - "Ö¸": 30395, - "ĠIcon": 30396, - "cycles": 30397, - "Ġsimmer": 30398, - "ĠCalif": 30399, - "Ġspotting": 30400, - "Ġcentrifug": 30401, - "Ġhelpers": 30402, - "HOW": 30403, - "multiple": 30404, - "ĠRebellion": 30405, - "Greek": 30406, - "LT": 30407, - "ĠSou": 30408, - "Ġexternally": 30409, - "ĠBacon": 30410, - "Ġclone": 30411, - "omencl": 30412, - "ĠBlockchain": 30413, - "ascii": 30414, - "ĠLact": 30415, - "achy": 30416, - "ĠRespond": 30417, - "ĠMint": 30418, - "Ġhyperactivity": 30419, - "Neuro": 30420, - "ĠSEO": 30421, - "Ġrivalry": 30422, - "WHAT": 30423, - 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30571, - "Ġlibrarians": 30572, - "Ġreplica": 30573, - "Tex": 30574, - "solution": 30575, - "('_": 30576, - "ĠResilience": 30577, - "ĠPhone": 30578, - "Ġfurnished": 30579, - "predictions": 30580, - "à¥ĩ": 30581, - "Ġbullied": 30582, - "ĠBeauty": 30583, - "Ġpragmatic": 30584, - "ĠKarn": 30585, - "ermal": 30586, - "Ġtrek": 30587, - "Ġwheelchair": 30588, - "ĠLiberation": 30589, - "ĠPhotoshop": 30590, - "Ġflattened": 30591, - "ĠPyramid": 30592, - "Ġpledged": 30593, - "Ġpredation": 30594, - "Ġfloats": 30595, - "Ġtorped": 30596, - "Ġqueens": 30597, - "Ġorchestr": 30598, - "Ġpatriarchal": 30599, - "Boolean": 30600, - "trial": 30601, - "atoms": 30602, - "ĠOst": 30603, - "ensure": 30604, - "Ġcarrot": 30605, - "Ġparaly": 30606, - "ĠPerman": 30607, - "hya": 30608, - "ĠKindergarten": 30609, - "Ġpilgrims": 30610, - "Pet": 30611, - "fishing": 30612, - "verify": 30613, - "iku": 30614, - "ĠEvangel": 30615, - "Ġprevailed": 30616, - "ĠNicarag": 30617, - "ĠKitchen": 30618, - "ĠBS": 30619, - "ĠWalking": 30620, - "orithms": 30621, - "Genesis": 30622, - "Ġheterogeneous": 30623, - "------------------------------": 30624, - "Ġfauc": 30625, - "ĠFrame": 30626, - "neutral": 30627, - "Ġapopt": 30628, - "ĠHazard": 30629, - "walks": 30630, - "ĠHepatitis": 30631, - "dala": 30632, - "ethnic": 30633, - "Ġfluent": 30634, - "bladder": 30635, - "Ġallergen": 30636, - "ĠTorres": 30637, - "ĠAtomic": 30638, - "ieties": 30639, - "Ġstricter": 30640, - "dk": 30641, - "ingo": 30642, - "Ġanalyzes": 30643, - "Ġrotational": 30644, - "ĠLocke": 30645, - "Ġpalsy": 30646, - "itability": 30647, - "chle": 30648, - "Introdu": 30649, - "Ġselves": 30650, - "Ġrecruiting": 30651, - "uschwitz": 30652, - "Ġconject": 30653, - "ĠPill": 30654, - "Ġjog": 30655, - "ĠJohnston": 30656, - "ĠGenerate": 30657, - "न": 30658, - "ĠGiov": 30659, - "ï¸": 30660, - "ĠâĢľ[": 30661, - "ĠMonroe": 30662, - "ĠReduced": 30663, - "Ġantennas": 30664, - "ĠUCLA": 30665, - "Ġtectonic": 30666, - "thermal": 30667, - "Ġstrata": 30668, - "Ġfeeders": 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"ĠBug": 31908, - "emeter": 31909, - "Ġrealizes": 31910, - "Ġconspicuous": 31911, - "ĠPlateau": 31912, - "Hyper": 31913, - "ĠVikings": 31914, - "Ġpc": 31915, - "stated": 31916, - "ondo": 31917, - "Ġpredefined": 31918, - "olytic": 31919, - "Ġpicnic": 31920, - "Ġinterstellar": 31921, - "Ġsophistication": 31922, - "Ġlords": 31923, - "ĠMales": 31924, - "Ġsoaked": 31925, - "Ġsympath": 31926, - "ALS": 31927, - "ĠExtreme": 31928, - "Ġharmoniously": 31929, - "Ġlawns": 31930, - "Growing": 31931, - "walls": 31932, - "à¹": 31933, - "atan": 31934, - "Ġfibrous": 31935, - "Ġferry": 31936, - "ĠParadise": 31937, - "Soci": 31938, - "esch": 31939, - "alignment": 31940, - "Ġhooked": 31941, - "quote": 31942, - "Ġinferred": 31943, - "ĠAdolesc": 31944, - "Ġkillings": 31945, - "Ġmentorship": 31946, - "Ġnomadic": 31947, - "Ġsteroid": 31948, - "WM": 31949, - "farm": 31950, - "ordable": 31951, - "Ġargumentative": 31952, - "Ġκ": 31953, - "ĠAccel": 31954, - "Ġdiaspora": 31955, - "gap": 31956, - "umni": 31957, - 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- "Ġmango": 32059, - "Ġcondensed": 32060, - "ĠCombined": 32061, - "ĠCitizen": 32062, - "enta": 32063, - "ĠTub": 32064, - "ĠPew": 32065, - "Ġchili": 32066, - "Ġtablespoons": 32067, - "planned": 32068, - "ĠChad": 32069, - "Ġfacto": 32070, - "Ġunsustainable": 32071, - "ĠPainting": 32072, - "Ġfronts": 32073, - "elin": 32074, - "assis": 32075, - "Ġpartnered": 32076, - "Ġlogos": 32077, - "ĠLeone": 32078, - "ĠNorthwestern": 32079, - "Adding": 32080, - "Ġmethylation": 32081, - "ĠAlbany": 32082, - "velocity": 32083, - "aseous": 32084, - "Ġsocialization": 32085, - "Ġcalend": 32086, - "polar": 32087, - "ĠPropag": 32088, - "Ġtrimester": 32089, - "å¹": 32090, - "Ġreds": 32091, - "ĠBoh": 32092, - "bsp": 32093, - "ATER": 32094, - "ĠElectronics": 32095, - "Ġshutdown": 32096, - "Ġfederally": 32097, - "Ġlumbar": 32098, - "ocument": 32099, - "Ġintangible": 32100, - "ĠThirty": 32101, - "ĠNotable": 32102, - "Ġcollateral": 32103, - "Ġunwavering": 32104, - "Ġswallowed": 32105, - "ĠFeedback": 32106, - "oscience": 32107, - "ĠTeeth": 32108, - "Ġsymbolizing": 32109, - "Bu": 32110, - "Ġhometown": 32111, - "Ġinterfer": 32112, - "Ġcreams": 32113, - "Stress": 32114, - "apsing": 32115, - "gui": 32116, - "Ġblew": 32117, - "ĠENUM": 32118, - "ĠDialogue": 32119, - "having": 32120, - "wers": 32121, - "Ñħ": 32122, - "Ġtier": 32123, - "Ġnormalization": 32124, - "omenclature": 32125, - "Camp": 32126, - "Ġinline": 32127, - "ĠChal": 32128, - "Ġchoir": 32129, - "Ġgeese": 32130, - "ANN": 32131, - "ĠSchmidt": 32132, - "ĠTypical": 32133, - "utc": 32134, - "Sea": 32135, - "Ġpreschoolers": 32136, - "Ġsleeves": 32137, - "Heb": 32138, - "Si": 32139, - "TEM": 32140, - "Ġpenny": 32141, - "Ġnat": 32142, - "Ġheats": 32143, - "Ġincurred": 32144, - "Ġlaure": 32145, - "ĠMarines": 32146, - "Ġprogressing": 32147, - "ĠWriter": 32148, - "ĠSubstance": 32149, - "Agent": 32150, - "Ġcondu": 32151, - "Animal": 32152, - "ĠRegistry": 32153, - "transfer": 32154, - "Spring": 32155, - "apon": 32156, - "Ġpuzzled": 32157, - "ĠSnake": 32158, - "Ġpropriet": 32159, - "Jack": 32160, - "MAR": 32161, - "Ġfoc": 32162, - "ĠCred": 32163, - "esthesia": 32164, - "ĠWinston": 32165, - "indent": 32166, - "ĠSwitch": 32167, - "multip": 32168, - "ncbi": 32169, - "ĠIB": 32170, - "osine": 32171, - "Ġattire": 32172, - "uchi": 32173, - "ĠIsles": 32174, - "ĠSurround": 32175, - "zu": 32176, - "ĠCasc": 32177, - "ĠPool": 32178, - "ptics": 32179, - "Ġkicked": 32180, - "ĠPutting": 32181, - "rr": 32182, - "Ġcate": 32183, - "strom": 32184, - "Ġflocks": 32185, - "Ġpolys": 32186, - "ĠCreativity": 32187, - "PDATE": 32188, - "Ġhydroelectric": 32189, - "Ġelectrically": 32190, - "Ġviz": 32191, - "iret": 32192, - "tole": 32193, - "Ġprobiotic": 32194, - "Isa": 32195, - "roles": 32196, - "ampton": 32197, - "ĠCrom": 32198, - "Ġwarp": 32199, - "ĠCanterbury": 32200, - "Ġdivinity": 32201, - "Ġdean": 32202, - "ĠSioux": 32203, - "ĠPVC": 32204, - "ĠFix": 32205, - "ixel": 32206, - "Ġrejecting": 32207, - "ĠEntreprene": 32208, - "ĠWireless": 32209, - "Monday": 32210, - "NL": 32211, - "ĠHern": 32212, - "Ġhailed": 32213, - "Ġlookup": 32214, - "Ġreversible": 32215, - "Ġcytokines": 32216, - "Seg": 32217, - "much": 32218, - "rically": 32219, - "itut": 32220, - "ĠShore": 32221, - "Ġpostdoctoral": 32222, - "Exc": 32223, - "HEAD": 32224, - "hostname": 32225, - "Score": 32226, - "ĠIdeal": 32227, - "Ġfarmed": 32228, - "Ġburrow": 32229, - "Ġadventurers": 32230, - "ĠSaskatchewan": 32231, - "Dou": 32232, - "ÑĨ": 32233, - "arum": 32234, - "Ġlace": 32235, - "ĠRaspberry": 32236, - "avorable": 32237, - "ĠMalawi": 32238, - "PRESS": 32239, - "ĠCosts": 32240, - "Ġpatronage": 32241, - "WID": 32242, - "edo": 32243, - "adal": 32244, - "onement": 32245, - "Ġacclaimed": 32246, - "Ġcampuses": 32247, - "ĠMineral": 32248, - "Ġapartments": 32249, - "screens": 32250, - "Ġureth": 32251, - "anched": 32252, - "ĠShab": 32253, - "Ġannotated": 32254, - "Ġamenities": 32255, - "ĠMÄģori": 32256, - "Jud": 32257, - "rals": 32258, - "vik": 32259, - "ĠWarning": 32260, - 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32607, - "yalgia": 32608, - "Ġadversaries": 32609, - "\\_\\_": 32610, - "Password": 32611, - "Capt": 32612, - "bite": 32613, - "rification": 32614, - "lehem": 32615, - "azole": 32616, - "Ġfaiths": 32617, - "Ġundertook": 32618, - "ĠCoordinator": 32619, - "è¡Į": 32620, - "ĠTudor": 32621, - "Ġ(=": 32622, - "ĠMé": 32623, - "ĠLights": 32624, - "ĠOng": 32625, - "Ġsquid": 32626, - "Clinical": 32627, - "Ġventricular": 32628, - "ĠIllness": 32629, - "ĠIntroduce": 32630, - "ĠDurham": 32631, - "åľ¨": 32632, - "Ġinfringement": 32633, - "Ġfingertips": 32634, - "ĠThomson": 32635, - "Ġtwigs": 32636, - "Chief": 32637, - "ĠKeys": 32638, - "Ġscalable": 32639, - "Ġnovice": 32640, - "dash": 32641, - "Ġbarc": 32642, - "ĠThunder": 32643, - "partition": 32644, - "ĠEvolutionary": 32645, - "ĠEnhance": 32646, - "ÅŁ": 32647, - "Ġil": 32648, - "Ġeclips": 32649, - "Ġperturb": 32650, - "Ġabras": 32651, - "Ġ*=": 32652, - "previous": 32653, - "ĠShepherd": 32654, - "ĠCornwall": 32655, - "zekiel": 32656, - "+=": 32657, 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"Ġconverge": 32758, - "Ġrospy": 32759, - "Ġunderpinnings": 32760, - "hof": 32761, - "Ġhandbook": 32762, - "Ġrested": 32763, - "Ġnormative": 32764, - "Ġfortunes": 32765, - "Ġgestational": 32766, - "Ġnegligence": 32767, - "bler": 32768, - "Ġfrying": 32769, - "ermis": 32770, - "ĠSpider": 32771, - "ĠVegetables": 32772, - "alamus": 32773, - "Ġunmanned": 32774, - "Raw": 32775, - "Ġexcre": 32776, - "Ġchorus": 32777, - "Ġwording": 32778, - "Ġtraveler": 32779, - "ĠRegistration": 32780, - "ĠMyc": 32781, - "Ġcamel": 32782, - "ĠSwan": 32783, - "Ġfixation": 32784, - "ĠâĹ": 32785, - "ĠFarmer": 32786, - "Helper": 32787, - "ĠSpaniards": 32788, - "Az": 32789, - "}',": 32790, - "classification": 32791, - "observation": 32792, - "buf": 32793, - "Ġergon": 32794, - "Ġophthalm": 32795, - "ĠTables": 32796, - "Ġstaged": 32797, - "horse": 32798, - "ĠExpansion": 32799, - "Ġalienation": 32800, - "Ġdoctorate": 32801, - "Ġdeploying": 32802, - "[[": 32803, - "yang": 32804, - "ĠTrig": 32805, - "ĠHes": 32806, - "Ġsober": 32807, - "Ġsoaking": 32808, - "ĠMorrison": 32809, - "Ġsubtly": 32810, - "ocalyptic": 32811, - "inable": 32812, - "Ġhern": 32813, - "Ġcirrhosis": 32814, - "Ġextrapol": 32815, - "Ġinvestigates": 32816, - "Ġaspiration": 32817, - "Gender": 32818, - "NI": 32819, - "ĠAMD": 32820, - "ĠRid": 32821, - "Ġdeserved": 32822, - "Ġstandardization": 32823, - "Ġpalaces": 32824, - "Ġbrigade": 32825, - "Ġtributaries": 32826, - "Match": 32827, - "camp": 32828, - "čĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 32829, - "Ġunpublished": 32830, - "optimal": 32831, - "Ġpropel": 32832, - "ĠProvides": 32833, - "CLC": 32834, - "Required": 32835, - "invent": 32836, - "ository": 32837, - "avia": 32838, - "othered": 32839, - "Ġbicycles": 32840, - "Eds": 32841, - "Nothing": 32842, - "fty": 32843, - "utz": 32844, - "Ġcondom": 32845, - "ĠPour": 32846, - "ĠYuk": 32847, - "borg": 32848, - "roqu": 32849, - "ctools": 32850, - "ĠHour": 32851, - "deal": 32852, - "thought": 32853, - "Ġlogistic": 32854, - "Ġevaluates": 32855, - "choices": 32856, - "Ġconvex": 32857, - "Ġscarcely": 32858, - "ĠGospels": 32859, - "Ġdilute": 32860, - "ĠMozamb": 32861, - "Ġnewcomers": 32862, - "grow": 32863, - "Ġinfested": 32864, - "Ġdecoder": 32865, - "inae": 32866, - "ĠHerz": 32867, - "Ġcomforting": 32868, - "ĠINTER": 32869, - "nob": 32870, - "rored": 32871, - "ĠConsumption": 32872, - "Ġcompletes": 32873, - "feres": 32874, - "Ġjuveniles": 32875, - "Ġsickle": 32876, - "Ġcherish": 32877, - "DEC": 32878, - "Ġtac": 32879, - "ĠMoss": 32880, - "Ġunaffected": 32881, - "Ġunavoid": 32882, - "ĠHeights": 32883, - "Ġinsulating": 32884, - "Ġcheeks": 32885, - "Ġforested": 32886, - "Ġrebirth": 32887, - "timed": 32888, - "Ġwholesale": 32889, - "Ġmellitus": 32890, - "XY": 32891, - "ĠCli": 32892, - "Ġprematurely": 32893, - "Ġadrenaline": 32894, - "termediate": 32895, - "jac": 32896, - "Ġtingling": 32897, - "ĠFruits": 32898, - "Ġreplies": 32899, - "Ġashore": 32900, - "Player": 32901, - "fro": 32902, - "ĠNurse": 32903, - "Ġinsists": 32904, - 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"Gene": 33003, - "Ġrelocation": 33004, - "Ġsociological": 33005, - "Ġsupermarkets": 33006, - "Ġobstructive": 33007, - "Ġfabricated": 33008, - "ĠNormandy": 33009, - "ĠAppalachian": 33010, - "Ġcunning": 33011, - "ĠAlps": 33012, - "ahs": 33013, - "Ġpostal": 33014, - "ĠAusten": 33015, - "Ġarchaeologist": 33016, - "publish": 33017, - "Ġiterative": 33018, - "Ġintracellular": 33019, - "ĠLancaster": 33020, - "Ġletharg": 33021, - "tum": 33022, - "Ġlone": 33023, - "Ġwhisk": 33024, - "ecost": 33025, - "ĠAmph": 33026, - "Ġinhibiting": 33027, - "Ġfiery": 33028, - "ĠAzerbaijan": 33029, - "TF": 33030, - "åĨ": 33031, - "oteric": 33032, - "andescent": 33033, - "izens": 33034, - "bringing": 33035, - "Ġpolicing": 33036, - "Ġdividends": 33037, - "ĠDesigned": 33038, - "Team": 33039, - "ĠGlobe": 33040, - "Ġglycemic": 33041, - "ĠPaste": 33042, - "Ġexpr": 33043, - "ĠAncest": 33044, - "States": 33045, - "Ġreceivers": 33046, - "flux": 33047, - "nat": 33048, - "amate": 33049, - "romyalgia": 33050, - "clone": 33051, - "Ġupheld": 33052, - "Ġfunnel": 33053, - "Ġdiversion": 33054, - "ĠBayesian": 33055, - "Ġcompounded": 33056, - "Everything": 33057, - "ĠConfederation": 33058, - "Ġlighthouse": 33059, - "ĠTommy": 33060, - "Ġalve": 33061, - "ĠEE": 33062, - "Ġoffender": 33063, - "olecule": 33064, - "ĠCarlo": 33065, - "ĠInitialize": 33066, - "Ġmistakenly": 33067, - "Ġgleaned": 33068, - "Ġtandem": 33069, - "ĠDHA": 33070, - "Ġentrusted": 33071, - "ylene": 33072, - "Proper": 33073, - "Ġoutsiders": 33074, - "Ġappraisal": 33075, - "Ġkitchens": 33076, - "ĠBabies": 33077, - "ĠMarxism": 33078, - "ĠJoyce": 33079, - "Ġoyster": 33080, - "izen": 33081, - "Ġplut": 33082, - "ĠNEW": 33083, - "VC": 33084, - "íķ": 33085, - "elastic": 33086, - "ggling": 33087, - "Ġpaperwork": 33088, - "Ġloosen": 33089, - "deredDict": 33090, - "ĠCaroline": 33091, - "ĠTank": 33092, - "allic": 33093, - "ĠInquiry": 33094, - "STOR": 33095, - "runs": 33096, - "Ġhomestead": 33097, - "ĠLaboratories": 33098, - "Ġhypothesized": 33099, - 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- "Loc": 33151, - "iatic": 33152, - "emy": 33153, - "Ġclut": 33154, - "Ġcaloric": 33155, - "ocumented": 33156, - "Ġauditor": 33157, - "Ġtrusts": 33158, - "Ġguarded": 33159, - "Private": 33160, - "åıĸ": 33161, - "CBT": 33162, - "Ġns": 33163, - "ĠPond": 33164, - "asties": 33165, - "phrase": 33166, - "Ġconfed": 33167, - "Ġethos": 33168, - "ĠProphe": 33169, - "ĠInfections": 33170, - "Ġoppos": 33171, - "Ġcouch": 33172, - "Ġignores": 33173, - "ĠSamar": 33174, - "оÑĢ": 33175, - "priority": 33176, - "ĠHarmonyville": 33177, - "Ġtopped": 33178, - "arching": 33179, - "alfa": 33180, - "Ġactionable": 33181, - "Ġmanifold": 33182, - "Ġlicence": 33183, - "Ġfashionable": 33184, - "æİ": 33185, - "Ġsher": 33186, - "Ġmural": 33187, - "Ġsepsis": 33188, - "availability": 33189, - "Ġtrays": 33190, - "Ġagreeing": 33191, - "ĠMechanics": 33192, - "plugins": 33193, - "Ġupgrades": 33194, - "Ġclutter": 33195, - "ĠManifest": 33196, - "Ġpronoun": 33197, - "ĠHopefully": 33198, - "Ġlurking": 33199, - "liest": 33200, - "Ġpus": 33201, - "ĠVine": 33202, - "DEF": 33203, - "Ġoverlooking": 33204, - "ĠMarco": 33205, - "ĠVon": 33206, - "Ġinterferes": 33207, - "CODE": 33208, - "Ġpremier": 33209, - "Ġshouting": 33210, - "ller": 33211, - "Ġprophetic": 33212, - "Testing": 33213, - "Ġrailways": 33214, - "Ġscalability": 33215, - "Ġleaning": 33216, - "Sing": 33217, - "pkl": 33218, - "Ġomit": 33219, - "Ġmd": 33220, - "ilight": 33221, - "ĠTah": 33222, - "Ġplume": 33223, - "Ġexpired": 33224, - "ĠParish": 33225, - "Ġinjecting": 33226, - "ĠAccessibility": 33227, - "Ġmolding": 33228, - "Ġquotations": 33229, - "Political": 33230, - "ĠNutr": 33231, - "Chemical": 33232, - "rils": 33233, - "strand": 33234, - "ĠPump": 33235, - "quake": 33236, - "Ġswamp": 33237, - "Phase": 33238, - "ĠProvidence": 33239, - "Eventually": 33240, - "Ïį": 33241, - "ĠTW": 33242, - "inee": 33243, - "brane": 33244, - "ĠFreeman": 33245, - "Ġmeteorological": 33246, - "Ġflammable": 33247, - "tas": 33248, - "Ġquota": 33249, - "ĠPride": 33250, - "ĠCOP": 33251, - "peutics": 33252, - "ĠTribune": 33253, - "ophe": 33254, - "Ġdisclosed": 33255, - "ARI": 33256, - "borhood": 33257, - "Ġrotary": 33258, - "ĠProcedure": 33259, - "Ġimpe": 33260, - "dominated": 33261, - "Univers": 33262, - "Ġmotivational": 33263, - "Ġirritated": 33264, - "authored": 33265, - "Ġnonsense": 33266, - "Ġendorsement": 33267, - "Ġinfiltration": 33268, - "aqu": 33269, - "aligned": 33270, - "Ġforc": 33271, - "ĠGER": 33272, - "Ġresided": 33273, - "ceptor": 33274, - "Ġsurreal": 33275, - "Ġwildly": 33276, - "gradient": 33277, - "founded": 33278, - "Suppose": 33279, - "nit": 33280, - "opting": 33281, - "Ġunbelie": 33282, - "ĠClos": 33283, - "Ġbirthplace": 33284, - "Ġsavory": 33285, - "Ġaccumulating": 33286, - "Ġmilder": 33287, - "Ġdumped": 33288, - "ĠBaldwin": 33289, - "lost": 33290, - "Ġstacks": 33291, - "Ġital": 33292, - "Ġsuppressing": 33293, - "ĠSacramento": 33294, - ")^": 33295, - "AH": 33296, - "Drug": 33297, - "ĠHours": 33298, - "Ġmalign": 33299, - "xyz": 33300, - "utations": 33301, - "ĠRD": 33302, - "Ġadapter": 33303, - "Ġglimps": 33304, - "Ġlogistical": 33305, - "lette": 33306, - "registry": 33307, - "ĠContrast": 33308, - "ĠMalta": 33309, - "orrhea": 33310, - "lif": 33311, - "Ġperi": 33312, - "tele": 33313, - "listed": 33314, - "Ġfaire": 33315, - "Ġpenis": 33316, - "dimension": 33317, - "Ġallele": 33318, - "Url": 33319, - "uties": 33320, - "ĠAU": 33321, - "ĠSage": 33322, - "ĠKaiser": 33323, - "Ġspeeding": 33324, - "ĠBerry": 33325, - "losses": 33326, - "Ġdiligence": 33327, - "ĠCzechosl": 33328, - "Ġwrinkles": 33329, - "failure": 33330, - "éĹ": 33331, - "Ġoft": 33332, - "Ġmanga": 33333, - "yss": 33334, - "RIBUT": 33335, - "Ġextraterrestrial": 33336, - "Few": 33337, - "Ġadept": 33338, - "ulsions": 33339, - "ĠPlaying": 33340, - "Ġcoexistence": 33341, - "ĠItalians": 33342, - "Running": 33343, - "ĠHear": 33344, - "ĠRams": 33345, - "ourg": 33346, - "ĠScan": 33347, - "Problem": 33348, - "Humans": 33349, - "Soon": 33350, - "ĠKre": 33351, - "ĠProfessionals": 33352, - "Ġloudly": 33353, - "Ġanxieties": 33354, - "circuit": 33355, - "Ġunderscoring": 33356, - "Ġpermissible": 33357, - "UES": 33358, - "Wait": 33359, - "Ġcms": 33360, - "Ġsupra": 33361, - "ĠJD": 33362, - "ritz": 33363, - "ĠEnviron": 33364, - "ĠRomanian": 33365, - "ĠTreatments": 33366, - "Members": 33367, - "bars": 33368, - "tel": 33369, - "ĠRecycling": 33370, - "ĠEdwin": 33371, - "Validation": 33372, - "Ġpsychiatry": 33373, - "Ġparsley": 33374, - "fmt": 33375, - "Ġhated": 33376, - "ĠSard": 33377, - "odef": 33378, - "ĠLon": 33379, - "spatial": 33380, - "Ġcools": 33381, - "ĠRemoval": 33382, - "ĠTwain": 33383, - "ĠMonthly": 33384, - "ĠFalcon": 33385, - "ĠBiomedical": 33386, - "pkg": 33387, - "amis": 33388, - "perse": 33389, - "ourced": 33390, - "Ġfluffy": 33391, - "Ġexposition": 33392, - "Ġliberated": 33393, - "ĠInnovative": 33394, - "olor": 33395, - "Ġstature": 33396, - "osate": 33397, - "Ġsuperb": 33398, - "Jun": 33399, - "npy": 33400, - "alla": 33401, - "matches": 33402, - "Ġdiarrhoea": 33403, - "eronomy": 33404, - "ĠPag": 33405, - "ĠNecess": 33406, - "ĠYounger": 33407, - "Ġenthusiast": 33408, - "Ġsten": 33409, - "onda": 33410, - "Ġairlines": 33411, - "ĠArtist": 33412, - "Ġdryer": 33413, - "rho": 33414, - "ĠLuckily": 33415, - "Mid": 33416, - "ĠTick": 33417, - "Ġblob": 33418, - "Ġminors": 33419, - "orescence": 33420, - "ĠCivilization": 33421, - "ĠNavigation": 33422, - "Ġsermon": 33423, - "icators": 33424, - "ustry": 33425, - "Ġalgal": 33426, - "Ġд": 33427, - "eze": 33428, - "owulf": 33429, - "ifera": 33430, - "ivore": 33431, - "ĠFight": 33432, - "permission": 33433, - "Ġoprot": 33434, - "ĠSloven": 33435, - "Ġsubtropical": 33436, - "ĠREAD": 33437, - "Ġreverber": 33438, - "Ġamygdala": 33439, - "park": 33440, - "icia": 33441, - "ĠAJ": 33442, - "ĠMuss": 33443, - "ĠGerald": 33444, - "wey": 33445, - "Ġ[])": 33446, - "Ġolfactory": 33447, - "powers": 33448, - "Speed": 33449, - "Ġbs": 33450, - "Ġconcessions": 33451, - "Ġadip": 33452, - "Ġdealers": 33453, 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"Ġstreamlined": 33506, - "ĠConfiguration": 33507, - "Ġoverex": 33508, - "Ġengraved": 33509, - "Ġbolstering": 33510, - "Earlier": 33511, - "rinsic": 33512, - "Ġtxt": 33513, - "ĠHip": 33514, - "xtap": 33515, - "ĠAlf": 33516, - "------------------": 33517, - "Ġcataracts": 33518, - "ĠKazakhstan": 33519, - "Moving": 33520, - "daily": 33521, - "ĠSisters": 33522, - "ĠSimpson": 33523, - "Ġglossary": 33524, - "ĠVolunteer": 33525, - "æŶ": 33526, - "VIII": 33527, - "Ġmussels": 33528, - "ĠFE": 33529, - "Ġarth": 33530, - "Ġtreatise": 33531, - "Ġcolonized": 33532, - "Ġmurals": 33533, - "violence": 33534, - "à¯": 33535, - "erd": 33536, - "ĠTail": 33537, - "ĠHP": 33538, - "inders": 33539, - "Ġnomination": 33540, - "asaki": 33541, - "irls": 33542, - "ĠThir": 33543, - "blast": 33544, - "assertFalse": 33545, - "Ġpositives": 33546, - "existent": 33547, - "Ġsupervise": 33548, - "Ġsandwiches": 33549, - "Citation": 33550, - "cannot": 33551, - "north": 33552, - "ĠSplit": 33553, - "perform": 33554, - "ĠColors": 33555, - "ĠFlint": 33556, - "hael": 33557, - "Ġindexed": 33558, - "corr": 33559, - "Ġrelieving": 33560, - "ĠAcknow": 33561, - "searc": 33562, - "Ġalph": 33563, - "Ġalias": 33564, - "uds": 33565, - "ĠArthritis": 33566, - "Ġmillimeters": 33567, - "ĠLeopold": 33568, - "Ġ__________________": 33569, - "Ġbitten": 33570, - "ĠPolyn": 33571, - "feit": 33572, - "Ġveterinarians": 33573, - "fashioned": 33574, - "pic": 33575, - "Ġperse": 33576, - "Ġspurred": 33577, - "Ġmonot": 33578, - "ï¼Ī": 33579, - "Photos": 33580, - "kefeller": 33581, - "ĠDale": 33582, - "plays": 33583, - "Ġexpiration": 33584, - "brook": 33585, - "ĠHonduras": 33586, - "slic": 33587, - "ĠLub": 33588, - "Ġstartling": 33589, - "Ġdelved": 33590, - "flip": 33591, - "IPE": 33592, - "Ġunderside": 33593, - "ĠSelecting": 33594, - "Ġhypothyroidism": 33595, - "Ġditch": 33596, - "ĠDairy": 33597, - "ploid": 33598, - "ĠUtt": 33599, - "Ġunhe": 33600, - "ĠRece": 33601, - "Ġinnovate": 33602, - "Ġhairy": 33603, - "Ġpunishments": 33604, - "Ye": 33605, - "unn": 33606, - "ensible": 33607, - "Inside": 33608, - "commercial": 33609, - "Ġpolymerase": 33610, - "Ġmilitar": 33611, - "chanics": 33612, - "matplotlib": 33613, - "Ġharvests": 33614, - "ĠSteam": 33615, - "Ġadjunct": 33616, - "Ġrhin": 33617, - "Ġdumping": 33618, - "Evidence": 33619, - "ĠCaucasus": 33620, - "Condition": 33621, - "certainty": 33622, - "ĠNicaragua": 33623, - "ç½": 33624, - "Ġocular": 33625, - "Ġbony": 33626, - "Ġlitres": 33627, - "Ġprotesters": 33628, - "Ġzeal": 33629, - "Conc": 33630, - "qualified": 33631, - "Scott": 33632, - "Ġcartridge": 33633, - "Discussion": 33634, - "TPS": 33635, - "Ġprick": 33636, - "ĠChel": 33637, - "ĠMORE": 33638, - "ĠPassion": 33639, - "Ġhens": 33640, - "ĠJF": 33641, - "ERY": 33642, - "unting": 33643, - "rosophila": 33644, - "ĠAircraft": 33645, - "ĠBhutan": 33646, - "CG": 33647, - "Mag": 33648, - "Ġmentality": 33649, - "Geometry": 33650, - "âķIJâķIJ": 33651, - "motor": 33652, - "Ġlign": 33653, - "ĠHMS": 33654, - "Getty": 33655, - "!**": 33656, - ",(": 33657, - "Future": 33658, - "franch": 33659, - "street": 33660, - "Ġintimately": 33661, - "Ġhello": 33662, - "ucent": 33663, - "Ġcoales": 33664, - "Ġdebugging": 33665, - "Ġmisf": 33666, - "continence": 33667, - "Ġrefrigeration": 33668, - "ĠSale": 33669, - "ablo": 33670, - "Ġpeek": 33671, - "iker": 33672, - "rador": 33673, - "ĠJacobs": 33674, - "Ġcarpets": 33675, - "iere": 33676, - "verte": 33677, - "Ġhaul": 33678, - "Ġpotency": 33679, - "ĠAmelia": 33680, - "Ġtournament": 33681, - "Ġventured": 33682, - "Financial": 33683, - "behavioral": 33684, - "Board": 33685, - "cepts": 33686, - "Ġblockade": 33687, - "ĠOceanic": 33688, - "ĠBullying": 33689, - "ĠGreens": 33690, - "<<": 33691, - "hra": 33692, - "ĠMish": 33693, - "strategy": 33694, - "Ġwiser": 33695, - "Ġmasking": 33696, - "Ġdotted": 33697, - "Ġcataract": 33698, - "Ġsowing": 33699, - "Ġfission": 33700, - "Ġgaseous": 33701, - "ĠPER": 33702, - "Ġjudiciary": 33703, - "Ġmetabolites": 33704, - "Ġorchid": 33705, - "Ġconstellations": 33706, - "migrations": 33707, - "strength": 33708, - "Friday": 33709, - "ionage": 33710, - "ibus": 33711, - "Ġunprotected": 33712, - "ĠNoise": 33713, - "Ġstereotype": 33714, - "ĠAssessing": 33715, - "ĠShelley": 33716, - "tau": 33717, - "ĠGET": 33718, - "ĠSz": 33719, - "ĠCrystal": 33720, - "ĠHS": 33721, - "Ġyourselves": 33722, - "Ġ\"\")": 33723, - "ascus": 33724, - "Ġbleaching": 33725, - "Ġentertained": 33726, - "ĠSidd": 33727, - "ĠStir": 33728, - "ossal": 33729, - "Ġdemo": 33730, - "Builder": 33731, - "Ġabruptly": 33732, - "qs": 33733, - "Ġbang": 33734, - "Ġinquiries": 33735, - "Ġnoses": 33736, - "Ġcraters": 33737, - "Ġconceptions": 33738, - "ĠXY": 33739, - "COUNT": 33740, - "graduates": 33741, - "Distance": 33742, - "Double": 33743, - "izzy": 33744, - "Ġspruce": 33745, - "coat": 33746, - "Ġenvironmentalists": 33747, - "Ġsummarizing": 33748, - "Ġgoss": 33749, - "expect": 33750, - "Ġadvising": 33751, - "Ġcondoms": 33752, - "ĠShortly": 33753, - "accharides": 33754, - "Ġrepentance": 33755, - "tails": 33756, - "Ġferal": 33757, - "ĠTrent": 33758, - "okers": 33759, - "ĠAppl": 33760, - "infection": 33761, - "Ġneuropsych": 33762, - "Ġneckl": 33763, - "music": 33764, - "Ġvoyages": 33765, - "ĠVoices": 33766, - "repository": 33767, - "ĠGiovanni": 33768, - "Ġcipher": 33769, - "ĠFrost": 33770, - "coins": 33771, - "OSS": 33772, - "solve": 33773, - "ĠDistingu": 33774, - "ĠBethlehem": 33775, - "Father": 33776, - "oji": 33777, - "isin": 33778, - "Ġpea": 33779, - "Ġexpanse": 33780, - "Ġcapitalize": 33781, - "ĠMatplotlib": 33782, - "Ġgrocer": 33783, - "coordinates": 33784, - "Fish": 33785, - "Ly": 33786, - "icz": 33787, - "ĠFlask": 33788, - "Ġembarrassment": 33789, - "Ġcamouflage": 33790, - "Ġgrievances": 33791, - "Ġplatinum": 33792, - "ĠKoch": 33793, - "Ġseventeen": 33794, - "Ġserialize": 33795, - "Ġhydropower": 33796, - "toplankton": 33797, - "Ġnucleotide": 33798, - "Harv": 33799, - "Quality": 33800, - "ĠGUI": 33801, - "ĠGCSE": 33802, - "Ġtaxi": 33803, - "Ġoptimally": 33804, - "Ġdragged": 33805, - "Ġdescendant": 33806, - "Ġfigurative": 33807, - "Ġfür": 33808, - "Ġornaments": 33809, - "ĠRum": 33810, - "ĠGel": 33811, - "cloth": 33812, - "Ġcompulsive": 33813, - "Ġdoomed": 33814, - "aise": 33815, - "ité": 33816, - "ĠFur": 33817, - "ĠKend": 33818, - "Ġinspected": 33819, - "Ġconversational": 33820, - "ĠCapacity": 33821, - "ĠZhou": 33822, - "Ġdwellers": 33823, - "Ġgoddesses": 33824, - "BLE": 33825, - "ĠACL": 33826, - "ĠLaz": 33827, - "Ġremed": 33828, - "Ġattrs": 33829, - "Ġentom": 33830, - "Ġcaries": 33831, - "Ġdownwards": 33832, - "Ġpillow": 33833, - "Surface": 33834, - "LOCK": 33835, - "cart": 33836, - "gang": 33837, - "lite": 33838, - "Ġsparing": 33839, - "wered": 33840, - "Ġassortment": 33841, - "proj": 33842, - "Ġmessengers": 33843, - "Ġjournaling": 33844, - "ĠMali": 33845, - "Ġinterviewing": 33846, - "ĠExtended": 33847, - "statistics": 33848, - "Ġarsenal": 33849, - "recognized": 33850, - "HL": 33851, - "trigger": 33852, - "aned": 33853, - "Ġether": 33854, - "ĠTrim": 33855, - "Ġyang": 33856, - "aminated": 33857, - "Doctors": 33858, - "ĠLegislative": 33859, - "esoph": 33860, - "opening": 33861, - "Ġimpractical": 33862, - "Ġopted": 33863, - "ĠSpatial": 33864, - "ĠAssert": 33865, - "ĠTransactions": 33866, - "ĠBiotechnology": 33867, - "Ġsecreted": 33868, - "Ġriparian": 33869, - "ĠVishnu": 33870, - "Ġviolet": 33871, - "Ġtwelfth": 33872, - "Unknown": 33873, - "ĠDeveloped": 33874, - "ĠDevelopments": 33875, - "Ġpineapple": 33876, - "Ġparen": 33877, - "ĠTul": 33878, - "chars": 33879, - "Ġrestless": 33880, - "ĠOrn": 33881, - "ĠGujar": 33882, - "ĠRegression": 33883, - "ĠBrush": 33884, - "ĠHygiene": 33885, - "Ġrenders": 33886, - "!),": 33887, - "nour": 33888, - "ĠEST": 33889, - "unched": 33890, - "Ġpostcolonial": 33891, - "ĠFloat": 33892, - "Ġhorrors": 33893, - "Behavior": 33894, - "Ġgraceful": 33895, - "Ġapoptosis": 33896, - "duty": 33897, - "Ġplethora": 33898, - "ĠRomance": 33899, - "ĠRhine": 33900, - "Ġoverwhelmingly": 33901, - "Ġsensitivities": 33902, - "Folder": 33903, - "onucle": 33904, - "Ġoily": 33905, - "Ġcider": 33906, - "ĠSag": 33907, - "ĠCRE": 33908, - "adam": 33909, - "ĠJO": 33910, - "Country": 33911, - "æķ°æį®": 33912, - "çī": 33913, - "Ġliturgical": 33914, - "Ġpopularly": 33915, - "backward": 33916, - "ĠSociology": 33917, - "mathbf": 33918, - "Ġpearls": 33919, - "tc": 33920, - "ĠFostering": 33921, - "ĠWeak": 33922, - "\"\"\",": 33923, - "ĠSeventh": 33924, - "Ġcollide": 33925, - "ĠBowl": 33926, - "Ġelectrolytes": 33927, - "Ġbunk": 33928, - "Ġregex": 33929, - "ĠSimulation": 33930, - "hematics": 33931, - "Ġpleasures": 33932, - "Ġrejects": 33933, - "ocentric": 33934, - "Ġhallucinations": 33935, - "Ġbos": 33936, - "Ġdusk": 33937, - "ĠLS": 33938, - "ĠWealth": 33939, - "oker": 33940, - "ĠPsychiatric": 33941, - "Ġregimens": 33942, - "ĠAlgeria": 33943, - "DIS": 33944, - "åĢ": 33945, - "ĠFry": 33946, - "Ġbacklash": 33947, - "Ġresponsiveness": 33948, - "ĠLego": 33949, - "ĠRabbit": 33950, - "ĠBecome": 33951, - "Ġcedar": 33952, - "Ġpore": 33953, - "ĠLiquid": 33954, - "Ġoccult": 33955, - "Ġanalysing": 33956, - "ĠDorothy": 33957, - "gerald": 33958, - "tops": 33959, - "Atlantic": 33960, - "ĠGardening": 33961, - "cooked": 33962, - "mobile": 33963, - "Ġpaternal": 33964, - "ĠAdvantages": 33965, - "ĠIsab": 33966, - "Ġhelicopters": 33967, - "Ġindelible": 33968, - "bay": 33969, - "divided": 33970, - "nesty": 33971, - "ilers": 33972, - "ĠStern": 33973, - "Ġtreason": 33974, - "Ġcraving": 33975, - "ĠSketch": 33976, - "Ġmarveled": 33977, - "Discover": 33978, - "xit": 33979, - "ĠDante": 33980, - "Ġdisrespect": 33981, - "Ġmega": 33982, - "Ġemperors": 33983, - "Ġconfer": 33984, - "Ġredis": 33985, - "Ġfixes": 33986, - "ĠEveryday": 33987, - "ĠJimmy": 33988, - "Ġtending": 33989, - "ĠTrip": 33990, - "avian": 33991, - "Ġperceptual": 33992, - "Ġepidemi": 33993, - "ĠMichelle": 33994, - "blown": 33995, - "ĠTrop": 33996, - "Ġexemption": 33997, - "Ġseep": 33998, - "Ġallure": 33999, - "Ġrapt": 34000, - "ĠSpin": 34001, - "Ġconversions": 34002, - "Ġexemplary": 34003, - "ĠInvestigate": 34004, - "Ġdecolonization": 34005, - "ĠMats": 34006, - "Ġtrache": 34007, - "Ġcurtain": 34008, - "subprocess": 34009, - "Ġisolating": 34010, - "Ġfestive": 34011, - "ophysiology": 34012, - "Ġrewrite": 34013, - "ĠBB": 34014, - "Ġglobalized": 34015, - "Ġabnormally": 34016, - "Magn": 34017, - "Prec": 34018, - "arat": 34019, - "ĠIncluding": 34020, - "Ġunresolved": 34021, - "uprofen": 34022, - "Ġxx": 34023, - "softmax": 34024, - "Ġcoincide": 34025, - "{'": 34026, - "ĠASP": 34027, - "ameter": 34028, - "ĠCourses": 34029, - "ĠGC": 34030, - "activate": 34031, - "auri": 34032, - "biological": 34033, - "Ġrevelations": 34034, - "Hyp": 34035, - "Park": 34036, - "Ġdiure": 34037, - "ĠWei": 34038, - "Aside": 34039, - "ĠLouise": 34040, - "|'('": 34041, - "Ġpitcher": 34042, - "Ġmerger": 34043, - "Ġexacerbating": 34044, - "ĠChandra": 34045, - "Ġborough": 34046, - "|')'": 34047, - "bane": 34048, - "Ġprod": 34049, - "quist": 34050, - "ĠInvalid": 34051, - "oides": 34052, - "Ġdebut": 34053, - "Ġsniff": 34054, - "Ġyouthful": 34055, - "Come": 34056, - "Tri": 34057, - "ɪ": 34058, - "phinx": 34059, - "exam": 34060, - "Ġnorthward": 34061, - "Ġhomin": 34062, - "Ġexplosives": 34063, - "aunders": 34064, - "Ġingenious": 34065, - "Ġpopulace": 34066, - "STATUS": 34067, - "ĠDoctrine": 34068, - "Ġninety": 34069, - "ĠPtole": 34070, - "Ġflap": 34071, - "CONF": 34072, - "Ġmobilization": 34073, - "ĠShuttle": 34074, - "ÎŃ": 34075, - "Ġhither": 34076, - "Ġslogan": 34077, - "Ġdoubles": 34078, - "ĠNOTE": 34079, - "Ġbolts": 34080, - "Ġprudent": 34081, - "Rh": 34082, - "ĠFI": 34083, - "Ġpostwar": 34084, - "slot": 34085, - "Classifier": 34086, - "Ġbisc": 34087, - "asan": 34088, - "Ġorang": 34089, - "ĠEuch": 34090, - "Ġprune": 34091, - "ophysics": 34092, - "Ġambul": 34093, - "Transport": 34094, - "Ro": 34095, - "ĠNPR": 34096, - "afrost": 34097, - "Carl": 34098, - "ĠAda": 34099, - "assertIn": 34100, - "Ġ\\\"": 34101, - "ĠPassage": 34102, - "pertension": 34103, - "Ġmansion": 34104, - "ĠScul": 34105, - "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 34106, - "FM": 34107, - "Ġnotifications": 34108, - "prepared": 34109, - "banks": 34110, - "ĠFrontier": 34111, - "ĠBosnia": 34112, - "Ġwrestling": 34113, - "Ġerroneous": 34114, - "ln": 34115, - "yet": 34116, - "ĠEthereum": 34117, - "ovine": 34118, - "Ġcrank": 34119, - "Cluster": 34120, - "Ġvirtuous": 34121, - "ĠArgentine": 34122, - "Australian": 34123, - "ĠAssyrian": 34124, - "lis": 34125, - "magn": 34126, - "ĠMumbai": 34127, - "ĠDion": 34128, - "ĠNab": 34129, - "Ġgenomics": 34130, - "interaction": 34131, - "Ġsv": 34132, - "Ġinsecure": 34133, - "Ġlenders": 34134, - "Ġunlocking": 34135, - "Ġnegatives": 34136, - "ECK": 34137, - "technical": 34138, - "ĠSaxon": 34139, - "Ġpolish": 34140, - "Ġnums": 34141, - "Ġsheath": 34142, - "ĠOutline": 34143, - "folios": 34144, - "Depth": 34145, - "Ġtriglycerides": 34146, - "Ġendothelial": 34147, - "ilot": 34148, - "Ġflakes": 34149, - "Ġshepherd": 34150, - "Ġendings": 34151, - "Ġcandies": 34152, - "Ġnarrowed": 34153, - "Ġinsurmountable": 34154, - "ĠGaelic": 34155, - "ĠSimultaneously": 34156, - "configs": 34157, - "Ġfortifications": 34158, - "ĠTyler": 34159, - "ĠMechanisms": 34160, - "Ġanesthetic": 34161, - ",),": 34162, - "Ġsar": 34163, - "Ġgob": 34164, - "ĠAj": 34165, - "ĠCarson": 34166, - "Ġpreach": 34167, - "Ġregiments": 34168, - "according": 34169, - "ĠConfirm": 34170, - "Ġdownloads": 34171, - "Publisher": 34172, - "ĠTexts": 34173, - "Ġmonarchs": 34174, - "Ġsequestration": 34175, - ",))": 34176, - "Ha": 34177, - "slow": 34178, - "ĠVac": 34179, - "Ġadjoining": 34180, - "Ġresidency": 34181, - "ĠKnox": 34182, - "election": 34183, - "ä¾": 34184, - "ĠHert": 34185, - "Ġchor": 34186, - "Ġprovoked": 34187, - "Ġafterlife": 34188, - "gger": 34189, - "Ġcomposites": 34190, - "ĠCompanion": 34191, - "finished": 34192, - "Ġevacuated": 34193, - "Ġupgraded": 34194, - "Ġsabot": 34195, - "Aff": 34196, - "Scal": 34197, - "ĠACC": 34198, - "ĠVander": 34199, - "ĠLeh": 34200, - "olkien": 34201, - "Ġpornography": 34202, - "Ġkinship": 34203, - "Du": 34204, - "Ġflashing": 34205, - "ĠPeruvian": 34206, - "ĠInca": 34207, - "Ġrevolve": 34208, - "Ġregenerate": 34209, - "mis": 34210, - "ĠHess": 34211, - "ĠGul": 34212, - "appings": 34213, - "Story": 34214, - "Ġbadge": 34215, - "ĠOptical": 34216, - "(',": 34217, - "felt": 34218, - "Ġstigmat": 34219, - "Ġcomplicate": 34220, - "Ġcontests": 34221, - "Ġcols": 34222, - "interpret": 34223, - "Ġroofing": 34224, - "Species": 34225, - "squeeze": 34226, - "Ê»": 34227, - "heli": 34228, - "Ġreed": 34229, - "Ġ(@": 34230, - "unned": 34231, - "ansen": 34232, - "Ġcheckups": 34233, - "Ġvaluation": 34234, - "Assessment": 34235, - "aaS": 34236, - "ophilic": 34237, - "Important": 34238, - "Ġtumultuous": 34239, - "ectors": 34240, - "ĠGrab": 34241, - "Ġplasm": 34242, - "Ġkangar": 34243, - "rica": 34244, - "Ġpopularized": 34245, - "Plants": 34246, - "ĠTreasure": 34247, - "Formatter": 34248, - "Ġexceedingly": 34249, - "Queue": 34250, - "?).": 34251, - "lens": 34252, - "irin": 34253, - "Ġconclusive": 34254, - "Ġquake": 34255, - "Ġprototyping": 34256, - "ĠRecommendations": 34257, - "uitive": 34258, - "ĠBoolean": 34259, - "ASK": 34260, - "Ġarchipelago": 34261, - "Ġfragrance": 34262, - "ocyan": 34263, - "Ġconcurrently": 34264, - "idences": 34265, - "ĠAri": 34266, - "Ġprolet": 34267, - "ĠHouses": 34268, - "Ġcurtains": 34269, - "valued": 34270, - "classifier": 34271, - "Ġconcentrates": 34272, - "Ġsenators": 34273, - "Ġmarvelous": 34274, - "Directory": 34275, - "Ġmacrophages": 34276, - "MED": 34277, - "Sad": 34278, - "bie": 34279, - "Ġinlet": 34280, - "ersen": 34281, - "Ġoutgoing": 34282, - "rugu": 34283, - "ĠHeroes": 34284, - "Ġelemental": 34285, - "Ġclarified": 34286, - "embeddings": 34287, - "Ġrifles": 34288, - "Ġimplicitly": 34289, - "ifi": 34290, - "Ġtractor": 34291, - "ĠRescue": 34292, - "Ġliterate": 34293, - "Ġmelts": 34294, - "Ġpersuasion": 34295, - "Picture": 34296, - "YY": 34297, - "mese": 34298, - "tale": 34299, - "ĠFay": 34300, - "Ġquasi": 34301, - "Ġinteracted": 34302, - "rontal": 34303, - "seeking": 34304, - "Ġironic": 34305, - "burning": 34306, - "Ġconsolidate": 34307, - "ĠHansen": 34308, - "Ġelliptical": 34309, - "Rom": 34310, - "Vir": 34311, - "ĠTEST": 34312, - "ĠFetch": 34313, - "ĠLinn": 34314, - "ascal": 34315, - "increasing": 34316, - "pn": 34317, - "esta": 34318, - "Ġhumili": 34319, - "Ġchemists": 34320, - "ĠMarkets": 34321, - "Coord": 34322, - "Ġcuff": 34323, - "Ġwil": 34324, - "Ġpacing": 34325, - "ĠMixed": 34326, - "things": 34327, - "Ġovens": 34328, - "Ġsymbiotic": 34329, - "Ġpredisposition": 34330, - "lov": 34331, - "Äĥ": 34332, - "arya": 34333, - "ĠQR": 34334, - "Ġsubstituted": 34335, - "ĠPrepared": 34336, - "ĠMinneapolis": 34337, - "ĠStarted": 34338, - "Ġdecompose": 34339, - "ĠKuwait": 34340, - "ĠSahara": 34341, - "OFF": 34342, - "few": 34343, - "čĊĠĠĠĠĠ": 34344, - "itatively": 34345, - "Ġegal": 34346, - "Ġruth": 34347, - "ubon": 34348, - "Ġthroughput": 34349, - "Ġextremities": 34350, - "skilled": 34351, - "Ġpooling": 34352, - "Ġcovariance": 34353, - "ĠRecommended": 34354, - "Sure": 34355, - "ččĊĠĠĠĠĠĠĠĠ": 34356, - "among": 34357, - "ĠCitation": 34358, - "ĠDad": 34359, - "Ġclicks": 34360, - "iane": 34361, - "Ġslang": 34362, - "Optim": 34363, - "Ġaccreditation": 34364, - "âĢłâĢł": 34365, - "ĠProcedures": 34366, - "Ġpity": 34367, - "Alter": 34368, - "ĠStephan": 34369, - "Ġintegrative": 34370, - "Ġneutralize": 34371, - "Ġpearl": 34372, - "Fat": 34373, - "ĠACE": 34374, - "terminal": 34375, - "Ġshipwre": 34376, - "Ġvertebrate": 34377, - "ĠRatio": 34378, - "!'": 34379, - "Ġmoose": 34380, - "Ġpathogenesis": 34381, - "ĠJustin": 34382, - "Ġsequenced": 34383, - "Ġfilmmakers": 34384, - "sweet": 34385, - "Summer": 34386, - "laws": 34387, - "assembly": 34388, - "ĠPoles": 34389, - "Ġvested": 34390, - "ĠHamburg": 34391, - "Ġunlawful": 34392, - "Ġpolarity": 34393, - "Ġcrev": 34394, - "Ġidentifiers": 34395, - "Ġsymphony": 34396, - "contamination": 34397, - "Ġvisionary": 34398, - "Ġdehydrated": 34399, - "Ġmurders": 34400, - "Ġfollicles": 34401, - "inic": 34402, - "Ġlys": 34403, - "ulo": 34404, - "Ġanorexia": 34405, - "ĠThesis": 34406, - "Ġleopard": 34407, - "Ġkicking": 34408, - "Ġmedals": 34409, - "Ġzoos": 34410, - "ĠFlora": 34411, - "VIEW": 34412, - "ĠFemales": 34413, - "Missing": 34414, - "ĠMacedonia": 34415, - "Choosing": 34416, - "gather": 34417, - "ĠCNS": 34418, - "Ġdetained": 34419, - "assertEquals": 34420, - "ĠJesse": 34421, - "ADHD": 34422, - "Ġsubscribers": 34423, - "Ġcautiously": 34424, - "ĠFranç": 34425, - "ĠMozambique": 34426, - "cumin": 34427, - "horn": 34428, - "iatives": 34429, - "mys": 34430, - "Ġcages": 34431, - "Ġbou": 34432, - "ĠAsked": 34433, - "Agricult": 34434, - "Ġmarvels": 34435, - "Ġcongregations": 34436, - "ilo": 34437, - "Ġcanoe": 34438, - "ĠOceans": 34439, - "ashtra": 34440, - "Ġknitting": 34441, - "ĠNegot": 34442, - "Ġcmap": 34443, - "geons": 34444, - "Ġspouses": 34445, - "ĠKru": 34446, - "Ġbiking": 34447, - "Ġlocalization": 34448, - "Ġconstructor": 34449, - "Ġlieutenant": 34450, - "Ġtonight": 34451, - "ĠCalled": 34452, - "ĠAquarium": 34453, - "roviral": 34454, - "ĠNigerian": 34455, - "ĠAyurveda": 34456, - "vid": 34457, - "ilant": 34458, - "Ġgour": 34459, - "Ġtying": 34460, - "ĠRevenue": 34461, - "ELTS": 34462, - "heed": 34463, - "ĠInclusive": 34464, - "Ġdove": 34465, - "ĠPercent": 34466, - "ĠFrancisc": 34467, - "Ġlockdown": 34468, - "Ġwalnuts": 34469, - "ĠCertification": 34470, - "ĠChronicles": 34471, - "Ġtrumpet": 34472, - "aso": 34473, - "Ġnx": 34474, - "ĠMY": 34475, - "agree": 34476, - "ECH": 34477, - "Ġhomage": 34478, - "Ġcomplaining": 34479, - "Ġboredom": 34480, - "fm": 34481, - "got": 34482, - "mong": 34483, - "ĠOB": 34484, - "Ġmultilateral": 34485, - "Complete": 34486, - "Ġsynerg": 34487, - "Authent": 34488, - "scripts": 34489, - "Ġaerosols": 34490, - "Ġsubgenre": 34491, - "Ġstrenuous": 34492, - "Åĵ": 34493, - "ĠSue": 34494, - "Ġsyphilis": 34495, - "ĠAnth": 34496, - "NAS": 34497, - "ĠPractition": 34498, - "apiens": 34499, - "RCA": 34500, - "Ġarisen": 34501, - "Ing": 34502, - "ulla": 34503, - "Ġpsychosis": 34504, - "Artificial": 34505, - "Ġhalted": 34506, - "ĠFeminist": 34507, - "Ġcontingency": 34508, - "ĠHimalayas": 34509, - "dard": 34510, - "Ġcries": 34511, - "ceph": 34512, - "onset": 34513, - "ĠUnicode": 34514, - "Ġswamps": 34515, - "Ġurgently": 34516, - "ĠGenerated": 34517, - "ĠChilean": 34518, - "LM": 34519, - "fel": 34520, - "Ġwatered": 34521, - "Ġhors": 34522, - "oko": 34523, - "processors": 34524, - "Ġfranc": 34525, - "Ġcherries": 34526, - "ĠBuddhists": 34527, - "iwi": 34528, - "ĠGateway": 34529, - "ĠAmidst": 34530, - "Ġinbox": 34531, - "Ġ*,": 34532, - "Properties": 34533, - "ĠMcL": 34534, - "riendly": 34535, - "ка": 34536, - "inja": 34537, - "erical": 34538, - "ĠCAM": 34539, - "Ġimpede": 34540, - "ĠKom": 34541, - "ĠAlleg": 34542, - "Ġsteaming": 34543, - "Ġhourly": 34544, - "Ġmediator": 34545, - "Ġindulge": 34546, 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"Ġuncontroll": 34596, - "retched": 34597, - "Forest": 34598, - "kines": 34599, - "Ġwarrants": 34600, - "disabled": 34601, - "Ġprayed": 34602, - "Ġhorrific": 34603, - "templates": 34604, - "Ġlends": 34605, - "imaging": 34606, - "olip": 34607, - "plural": 34608, - "Ġabide": 34609, - "Ġroasting": 34610, - "Ġrecap": 34611, - "oki": 34612, - "heading": 34613, - "ĠPreserve": 34614, - "ĠEliot": 34615, - "ĠPOS": 34616, - "osteroids": 34617, - "ĠInform": 34618, - "ensory": 34619, - "Ġcoloration": 34620, - "unsaturated": 34621, - "Ġescalate": 34622, - "Ġcompanionship": 34623, - "scientists": 34624, - "âĻ": 34625, - "ĠIBS": 34626, - "ĠWorm": 34627, - "Ġsoaring": 34628, - "ĠStyles": 34629, - "Ġpostpartum": 34630, - "Ġfallacy": 34631, - "ĠParallel": 34632, - "Ġcasts": 34633, - "ĠDecide": 34634, - "ĠFeast": 34635, - "Ġcolourful": 34636, - "ĠBaghdad": 34637, - "elope": 34638, - "otives": 34639, - "ĠDATA": 34640, - "ĠMinisters": 34641, - "Ġsecretions": 34642, - "documents": 34643, - "ĠAlgorithm": 34644, - "sein": 34645, - "lyss": 34646, - "ocultural": 34647, - "Ġdiffraction": 34648, - "ihu": 34649, - "Ġlobbying": 34650, - "Ġredesign": 34651, - "gue": 34652, - "Ġreconnect": 34653, - "Ġphotoc": 34654, - "vertices": 34655, - "millan": 34656, - "Insert": 34657, - "Ġinterchangeably": 34658, - "Ġcourtyard": 34659, - "ocarbon": 34660, - "ĠRAF": 34661, - "Ġbiochemistry": 34662, - "ogenes": 34663, - "ĠDavies": 34664, - "ĠTrials": 34665, - "ĠPlanetary": 34666, - "ĠChapman": 34667, - "Sound": 34668, - "Ġ(%": 34669, - "ĠMask": 34670, - "ĠDum": 34671, - "Ġdiabetics": 34672, - "ĠWorlds": 34673, - "ylim": 34674, - "ĠGardner": 34675, - "ĠTurning": 34676, - "ĠBarnes": 34677, - "Ġenlargement": 34678, - "Ġmangrove": 34679, - "Ġbuys": 34680, - "Ġfullness": 34681, - "CLUD": 34682, - "Extract": 34683, - "Ġdowntime": 34684, - "Ġmiscarriage": 34685, - "Ġmall": 34686, - "ĠRSS": 34687, - "Ġperished": 34688, - "ĠRecreation": 34689, - "ringes": 34690, - "ĠSixth": 34691, - "Ġupp": 34692, - "Ġvortex": 34693, - "ĠDw": 34694, - "ĠUnknown": 34695, - "Ġattaches": 34696, - "Ġactivating": 34697, - "Death": 34698, - "Ġgarnered": 34699, - "young": 34700, - "Ġbenchmarks": 34701, - "ĠVegas": 34702, - "ĠCrick": 34703, - "Ġabort": 34704, - "minor": 34705, - "Ġcommentators": 34706, - "ĠRockefeller": 34707, - "Ġtelome": 34708, - "Ġbinoculars": 34709, - "?.": 34710, - "Ġsuction": 34711, - "ffff": 34712, - "ĠOrbit": 34713, - "ĠMayan": 34714, - "ĠCarp": 34715, - "Ġwarmed": 34716, - "Ġwaveform": 34717, - "Ġplugs": 34718, - "supervised": 34719, - "ĠPeterson": 34720, - "Ġpersecuted": 34721, - "bd": 34722, - "calls": 34723, - "gins": 34724, - "Ġpiqued": 34725, - "ĠAram": 34726, - "teaching": 34727, - "compl": 34728, - "Ġinflow": 34729, - "argmax": 34730, - "eger": 34731, - "ĠFunding": 34732, - "ĠGraphics": 34733, - "eroon": 34734, - "Ġcemeteries": 34735, - "Ġeternity": 34736, - "Ġalpine": 34737, - "Ġusability": 34738, - "Ġdisplace": 34739, - "ĠUnix": 34740, - "Ġfuller": 34741, - "Ġsheltered": 34742, - 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"Ġhesitation": 34794, - "formerly": 34795, - "ESCRIPT": 34796, - "otropic": 34797, - "aphylococcus": 34798, - "Ġunavoidable": 34799, - "Mount": 34800, - "ĠMusk": 34801, - "Ġprohibiting": 34802, - "Ġunfairly": 34803, - "Domain": 34804, - "Budd": 34805, - "Safe": 34806, - "tales": 34807, - "ĠCic": 34808, - "yson": 34809, - "ĠBlo": 34810, - "Soil": 34811, - "Ġcommentaries": 34812, - "Ġkiln": 34813, - "Ġgallbladder": 34814, - "ĠPubMed": 34815, - "Ġesteemed": 34816, - "%||": 34817, - "tis": 34818, - "reliance": 34819, - "ĠTribe": 34820, - "ĠCrist": 34821, - "Ġbiot": 34822, - "rolls": 34823, - "ĠSTAT": 34824, - "ĠEntom": 34825, - "ĠBast": 34826, - "ĠBris": 34827, - "ĠBottom": 34828, - "Ġspies": 34829, - "Ġplanner": 34830, - "Ġcontentious": 34831, - "ĠGlob": 34832, - "ĠDirective": 34833, - "Johnson": 34834, - "Ġpenetrating": 34835, - "Ġunfolded": 34836, - "Ġmaneuvers": 34837, - "Ġrenovation": 34838, - "GW": 34839, - "Material": 34840, - "×IJ": 34841, - "alted": 34842, - "ĠKurt": 34843, - "Ġhymn": 34844, - "RGB": 34845, - "ĠDru": 34846, - "Ġwillow": 34847, - "ĠIndus": 34848, - "ĠÎĶ": 34849, - "Ġabstinence": 34850, - "ĠCavalry": 34851, - "wrong": 34852, - "Ġrejo": 34853, - "ĠAWS": 34854, - "Ġincandescent": 34855, - "ĠJesuit": 34856, - "APH": 34857, - "feel": 34858, - "bellum": 34859, - "Ġgerminate": 34860, - "SOURCE": 34861, - "Ġgoggles": 34862, - "otus": 34863, - "ĠGlenn": 34864, - "handlers": 34865, - "travel": 34866, - "Ġfestivities": 34867, - "Ġparsing": 34868, - ">`": 34869, - "ĠFusion": 34870, - "Ġstrongh": 34871, - "ĠNeck": 34872, - "Ġexecutable": 34873, - "Ġjuxtap": 34874, - "ĠSmaller": 34875, - "Database": 34876, - "ĠSlavic": 34877, - "ÃŁ": 34878, - "ocin": 34879, - "ĠNLP": 34880, - "Ġprimate": 34881, - "Ġperformer": 34882, - "translation": 34883, - "ĠMastering": 34884, - "ĠâĨ©": 34885, - "Ġdew": 34886, - "ĠEmissions": 34887, - "Ġacknowledgement": 34888, - "Ġstewards": 34889, - "ĠHuntington": 34890, - "Expression": 34891, - "Advanced": 34892, - "ĠMild": 34893, - "Ġrequisite": 34894, - "Ġcystic": 34895, - "numbered": 34896, - "Ġpredictors": 34897, - "limits": 34898, - "ĠBelize": 34899, - "worthiness": 34900, - "propag": 34901, - "Ġtimedelta": 34902, - "ĠNeurology": 34903, - "ĠNashville": 34904, - "Ġrearrange": 34905, - "buck": 34906, - "Ġnymph": 34907, - "ĠTill": 34908, - "ibe": 34909, - "Ġremission": 34910, - "Ġcontraceptive": 34911, - "ophilia": 34912, - "Ġunderestimated": 34913, - "ĠLarger": 34914, - "Cas": 34915, - "Ġmailing": 34916, - "Ġdancer": 34917, - "ĠDob": 34918, - "ĠStef": 34919, - "Ġexplode": 34920, - "figsize": 34921, - "Ġcrispy": 34922, - "Ġdentures": 34923, - "Ġmildew": 34924, - "Ġbroadcasts": 34925, - "Ġpriesthood": 34926, - "Jones": 34927, - "culation": 34928, - "ĠIroqu": 34929, - "Ġrarity": 34930, - "Ġbrethren": 34931, - "Ġtrademarks": 34932, - "DUCT": 34933, - "TAG": 34934, - "romagnetic": 34935, - "ĠConsequences": 34936, - "ĠAssuming": 34937, - "ĠTracking": 34938, - "ĠLearned": 34939, - "Ġionic": 34940, - "Ġaggregates": 34941, - "ĠHaitian": 34942, - "Ġdissatisfaction": 34943, - "Ġartefacts": 34944, - "Ġundisturbed": 34945, - "Hon": 34946, - "bish": 34947, - "gm": 34948, - "ĠDuck": 34949, - "ĠNamed": 34950, - "iddish": 34951, - "ĠTeams": 34952, - "Ġinflated": 34953, - "ĠSignificant": 34954, - "ĠHarvest": 34955, - "ĠFluid": 34956, - "Ġfingerprints": 34957, - "Fill": 34958, - "ivary": 34959, - "Ġlocking": 34960, - "Ġmagnification": 34961, - "Ġpetrol": 34962, - "Ġsynonym": 34963, - "Ġwarranty": 34964, - "Ġexhilar": 34965, - "ع": 34966, - "Ġslug": 34967, - "ellate": 34968, - "Ġinfrast": 34969, - "Ġhernia": 34970, - "Ġolds": 34971, - "ĠBiom": 34972, - "Ġbiofuel": 34973, - "ĠEstonia": 34974, - "Ġtragedies": 34975, - "belt": 34976, - "dan": 34977, - "æŃ": 34978, - "ieving": 34979, - "Ġunnatural": 34980, - "ĠAsians": 34981, - "Ġbrisk": 34982, - "ĠEmotions": 34983, - "Ġrefriger": 34984, - "nos": 34985, - "islation": 34986, - "ĠSets": 34987, - "Ġsparking": 34988, - "Ġdefendants": 34989, - "ĠFurn": 34990, - "ĠFIG": 34991, - "Ġinterruption": 34992, - "Ġterminate": 34993, - "Ġrevive": 34994, - "Ġpolyps": 34995, - "ĠSymposium": 34996, - "ĠScandinavia": 34997, - "Ġhatching": 34998, - "Ġafflict": 34999, - "Ġreacted": 35000, - "Ġ_____": 35001, - "Ġpropensity": 35002, - "ĠSchne": 35003, - "Urban": 35004, - "/?": 35005, - "Ġnylon": 35006, - "Ġiterate": 35007, - "Ġsued": 35008, - "ĠDelivery": 35009, - "ĠTeh": 35010, - "Ġvisualizations": 35011, - "Ġhandsome": 35012, - "Diabetes": 35013, - "Ġmetaphorical": 35014, - "Ġlexical": 35015, - "æ³": 35016, - "revision": 35017, - "Ġpessim": 35018, - "administ": 35019, - "Ġatrial": 35020, - "Ġdistortions": 35021, - "Ġnovelist": 35022, - "ĠPatricia": 35023, - "Ġsqlalchemy": 35024, - "Ġsyndromes": 35025, - "Dry": 35026, - "Winter": 35027, - "ĠGang": 35028, - "cling": 35029, - "olla": 35030, - "ITION": 35031, - "Ġloader": 35032, - "Ġapology": 35033, - "ĠLiberia": 35034, - "Ġcompensated": 35035, - "ĠTasmania": 35036, - "GN": 35037, - "vt": 35038, - "Ġgenerously": 35039, - "();": 35040, - "Ġelapsed": 35041, - "Ġparrot": 35042, - "starting": 35043, - "Aqu": 35044, - "Ġaortic": 35045, - "Ġtrivia": 35046, - "Ġdont": 35047, - "manual": 35048, - "Ġbehaving": 35049, - "arianism": 35050, - "located": 35051, - "occurring": 35052, - "Ġvapour": 35053, - "daughter": 35054, - "robe": 35055, - "ĠIEP": 35056, - "ĠPreviously": 35057, - "rosive": 35058, - "ĠJudith": 35059, - "Flag": 35060, - "ĠAhmad": 35061, - "Ġthermostat": 35062, - "Ġreintrodu": 35063, - "Ġexits": 35064, - "Ġawakening": 35065, - "ĠGenealog": 35066, - "ĠPentecost": 35067, - "Corn": 35068, - "oliberal": 35069, - "odian": 35070, - "andum": 35071, - "orta": 35072, - "ĠReasons": 35073, - "guid": 35074, - "ĠKumar": 35075, - "sight": 35076, - "uities": 35077, - "Ġthwart": 35078, - "Ġtrailing": 35079, - "ĠMyers": 35080, - "ĠJulie": 35081, - "Component": 35082, - "lp": 35083, - "Ġpenguin": 35084, - "clim": 35085, - "ĠCompliance": 35086, - "Ġshortening": 35087, - "keyword": 35088, - "Ġdealer": 35089, - "म": 35090, - "ĠEmbed": 35091, - "Explanation": 35092, - "Ġdemolition": 35093, - "æĪIJ": 35094, - "ĠBreathing": 35095, - "ĠAutonomous": 35096, - "Dear": 35097, - "icist": 35098, - "idium": 35099, - "ĠMg": 35100, - "queeze": 35101, - "Ġworldly": 35102, - "rigation": 35103, - "Ġvoila": 35104, - "Ġsavvy": 35105, - "Ġplatelets": 35106, - "efficacy": 35107, - "Ġresorting": 35108, - "heartedly": 35109, - "Ġconsonants": 35110, - "Ġmattress": 35111, - "Emp": 35112, - "Mu": 35113, - "Ġmuff": 35114, - "Ġamber": 35115, - "Ġcharities": 35116, - "ĠDebt": 35117, - "Ġbrood": 35118, - "ĠDriving": 35119, - "Ġselects": 35120, - "specified": 35121, - "Ġconvened": 35122, - "-----------------------------": 35123, - "ĠPublisher": 35124, - "Ġnostalgia": 35125, - "hub": 35126, - "Ġunpaid": 35127, - "Ġsituational": 35128, - "Ġflooring": 35129, - "ãĥ¼": 35130, - "Ġasynchronous": 35131, - "âĨĴ": 35132, - "ĠFerguson": 35133, - "Ġmuddy": 35134, - "ĠMAR": 35135, - "ĠPiet": 35136, - "ĠTheme": 35137, - "ĠWR": 35138, 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41669, - "Sci": 41670, - "çIJ": 41671, - "atonic": 41672, - "antage": 41673, - "ĠGift": 41674, - "awatt": 41675, - "Ġbranched": 41676, - "Ġmultiv": 41677, - "ĠChev": 41678, - "ãģĦ": 41679, - "erenced": 41680, - "Ġcannons": 41681, - "Ġvagu": 41682, - "('.//": 41683, - "Ġpears": 41684, - "Ġextermination": 41685, - "ĠBRCA": 41686, - "ĠDive": 41687, - "ĠOA": 41688, - "Ġwills": 41689, - "composition": 41690, - "Ġdelights": 41691, - "Ġlandowner": 41692, - "coe": 41693, - "Ġprobation": 41694, - "ĠFloor": 41695, - "Ġmounts": 41696, - "ĠJournalism": 41697, - "Ġsweetener": 41698, - "ĠAdvice": 41699, - "Edward": 41700, - "ocytic": 41701, - "Ġcommissioners": 41702, - "ozo": 41703, - "Identifying": 41704, - "Ġgorilla": 41705, - "Wrap": 41706, - "unken": 41707, - "Ġwiden": 41708, - "ETA": 41709, - "ĠBrett": 41710, - "ĠErrors": 41711, - "Axis": 41712, - "Ġoo": 41713, - "icile": 41714, - "Ġejected": 41715, - "Ġstitching": 41716, - "ĠSail": 41717, - "ĠCoding": 41718, - "ipur": 41719, - "ĠKell": 41720, 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42901, - "Ġcharacterizes": 42902, - "ĠInstant": 42903, - "ĠContributions": 42904, - "Ġauditing": 42905, - "validator": 42906, - "Äģr": 42907, - "ĠStonehenge": 42908, - "Ġculprits": 42909, - "Ġunderscored": 42910, - "Ġexoplanets": 42911, - "ä¾ĭ": 42912, - "Ġdefinitively": 42913, - "Pip": 42914, - "creating": 42915, - "tze": 42916, - "ĠDSL": 42917, - "Ġsmelling": 42918, - "Ġgrader": 42919, - "ĠResidents": 42920, - "ĠEmory": 42921, - "Ġdeadliest": 42922, - "Ġdiameters": 42923, - "ĠNicolas": 42924, - "Marine": 42925, - "oglobulin": 42926, - "ĠBalkan": 42927, - "arcinoma": 42928, - "ĠPfizer": 42929, - "Ġdystopian": 42930, - ")âĢĿ": 42931, - "chal": 42932, - "actyl": 42933, - "Ġ\",\"": 42934, - "Ġliteratures": 42935, - "Ġnetworked": 42936, - "district": 42937, - "ĠAuthorities": 42938, - "ĠSeparation": 42939, - "MainWindow": 42940, - "ĠKathleen": 42941, - "Presentation": 42942, - "accharide": 42943, - "ĠLisbon": 42944, - "Ġgiraffes": 42945, - "ĠAsperger": 42946, - "ĠFranciscan": 42947, - 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"emptive": 43191, - "steroidal": 43192, - "Ġsearchable": 43193, - "\"]))": 43194, - "Ġdecrees": 43195, - "ĠISP": 43196, - "Ġacknowledgment": 43197, - "Ġadhesives": 43198, - "ĠRudolf": 43199, - "healing": 43200, - "roi": 43201, - "ĠPep": 43202, - "ĠPneum": 43203, - "umina": 43204, - "ĠJL": 43205, - "Ġinvitations": 43206, - "Ġinterdependent": 43207, - "Ġcurtail": 43208, - "shoot": 43209, - "Ġbiopsies": 43210, - "ĠSuitable": 43211, - "STEP": 43212, - "Reason": 43213, - "Ġnarrated": 43214, - "ĠDubai": 43215, - "Ġpauses": 43216, - "Electronic": 43217, - "ĠSequential": 43218, - "Ġsemiconductors": 43219, - "Ġcancellation": 43220, - "ĠStephanie": 43221, - "æµ": 43222, - "erville": 43223, - "ĠUnified": 43224, - "Ġextinctions": 43225, - "Ġcurricular": 43226, - "Ġtreasured": 43227, - "Ġchoke": 43228, - "Ġwelded": 43229, - "ĠDalai": 43230, - "Ġdeformities": 43231, - "Bound": 43232, - "junct": 43233, - "vitamin": 43234, - "Ġsul": 43235, - "league": 43236, - "ĠWonders": 43237, - "ĠFau": 43238, - 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43488, - "Veget": 43489, - "Lily": 43490, - "Ġinclusions": 43491, - "ĠMae": 43492, - "Ġcontends": 43493, - "Ġacclaim": 43494, - "Ġglomer": 43495, - "Ġcaptives": 43496, - "ĠTwentieth": 43497, - "Ġpropane": 43498, - "ĠIrrigation": 43499, - "Ġadmirable": 43500, - "Ġoutlawed": 43501, - "ĠTrying": 43502, - "EXP": 43503, - "ĠLEED": 43504, - "Ġinauguration": 43505, - "Ġencroachment": 43506, - "Actions": 43507, - "pans": 43508, - "|\\": 43509, - "Ġtbsp": 43510, - "Ġpym": 43511, - "Ġpudding": 43512, - "Ġtoggle": 43513, - "entanyl": 43514, - "ĠTYPE": 43515, - "Ġchocol": 43516, - "ĠStages": 43517, - "cystic": 43518, - "Ġconcave": 43519, - "ĠAsset": 43520, - "Ġliquef": 43521, - "ĠConnected": 43522, - "Ġrabbi": 43523, - "Ġdeterministic": 43524, - "routine": 43525, - "-.": 43526, - "aeda": 43527, - "cong": 43528, - "policies": 43529, - "ÙĤ": 43530, - "icher": 43531, - "Ġ(_": 43532, - "ectoral": 43533, - "ĠThur": 43534, - "undo": 43535, - "ecology": 43536, - "Ġdrunken": 43537, - "='/": 43538, - 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"Ġchina": 43636, - "ĠJab": 43637, - "sofar": 43638, - "Ġscrib": 43639, - "inkling": 43640, - "ĠLeast": 43641, - "Ġgeospatial": 43642, - "ĠTransparency": 43643, - "scheme": 43644, - "hythmia": 43645, - "ĠHodg": 43646, - "ubilee": 43647, - "dwell": 43648, - "ticks": 43649, - "inatal": 43650, - "Ġhare": 43651, - "Ġpoke": 43652, - "ĠQin": 43653, - "``,": 43654, - "ĠSchema": 43655, - "ĠEditing": 43656, - "ukes": 43657, - "ĠDeficit": 43658, - "ĠGreenpeace": 43659, - "ĠOutreach": 43660, - "Ġwithdrawing": 43661, - "า": 43662, - "Ġfisherman": 43663, - "ĠBrainstorm": 43664, - "Ġamputation": 43665, - "vian": 43666, - "want": 43667, - "atype": 43668, - "itizing": 43669, - "Ġinp": 43670, - "Ġeaves": 43671, - "ĠFC": 43672, - "ĠNina": 43673, - "Ġsocialize": 43674, - "ĠGuam": 43675, - "omyc": 43676, - "aturity": 43677, - "HOME": 43678, - "Browse": 43679, - "ĠAcknowledge": 43680, - "Pakistan": 43681, - "aer": 43682, - "dq": 43683, - "aturing": 43684, - "emaker": 43685, - "ĠDense": 43686, - "Ġshuff": 43687, - "Ġmegal": 43688, - "pregn": 43689, - "ĠGenomics": 43690, - "Ġannum": 43691, - "ĠVirgil": 43692, - "smooth": 43693, - "existence": 43694, - "ĠSandra": 43695, - "ĠSeparate": 43696, - "ĠLayers": 43697, - "ĠEDT": 43698, - "Ġprotoz": 43699, - "IAN": 43700, - "bh": 43701, - "ÄŁ": 43702, - "Ġhr": 43703, - "utans": 43704, - "opies": 43705, - "Ġrgb": 43706, - "ĠOkin": 43707, - "Ġkinetics": 43708, - "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 43709, - "ylan": 43710, - "Ġknob": 43711, - "Ġoxidized": 43712, - "Speech": 43713, - "Json": 43714, - "fri": 43715, - "Ġbucks": 43716, - "Ġeel": 43717, - "ĠPJ": 43718, - "ĠDRC": 43719, - "ĠNim": 43720, - "tershire": 43721, - "Ġcutters": 43722, - "Ġexcelled": 43723, - "Ġoscillation": 43724, - "Ġreferees": 43725, - "ĠConfucius": 43726, - "leet": 43727, - "olks": 43728, - "ĠBSD": 43729, - "Ġadmon": 43730, - "Ġcommens": 43731, - "Ġuphill": 43732, - "Ġdecel": 43733, - "ĠAlien": 43734, - "ophytes": 43735, - "Ġnoticeably": 43736, - "significant": 43737, - "ĠMacedonian": 43738, - "Wilson": 43739, - "atosis": 43740, - "ĠSERV": 43741, - "ĠCoh": 43742, - "ĠWalls": 43743, - "itext": 43744, - "Ġexponents": 43745, - "ĠEngl": 43746, - "Ġsentimental": 43747, - "ĠPepper": 43748, - "ĠMarin": 43749, - "ĠMissile": 43750, - "Emily": 43751, - "ĠProduce": 43752, - "Ġfen": 43753, - "amber": 43754, - "abets": 43755, - "ĠLus": 43756, - "ellites": 43757, - "iphy": 43758, - "ĠJoa": 43759, - "ovina": 43760, - "Ġgliding": 43761, - "Ġqualifies": 43762, - "Cola": 43763, - "apiro": 43764, - "ĠMartinez": 43765, - "rusions": 43766, - "ĠHyder": 43767, - "Ġfingern": 43768, - "judice": 43769, - "ĠCoordination": 43770, - "ĠAnatolia": 43771, - "Ġladen": 43772, - "Ġwitty": 43773, - "æŀľ": 43774, - "esarean": 43775, - "kon": 43776, - "Ġoracle": 43777, - "strict": 43778, - "ĠCannabis": 43779, - "Ġrang": 43780, - "Ġshunt": 43781, - "lightly": 43782, - "Ġdieting": 43783, - "čĊĉĉĉĉ": 43784, - "âĢ¦..": 43785, - "Shift": 43786, - "ĠSchwarz": 43787, - "[::-": 43788, - "olyb": 43789, - "Ġcontradicts": 43790, - "Ġinhaling": 43791, - "ĠAssyria": 43792, - "Ġeigenvalues": 43793, - "Ġparaphrase": 43794, - "Ġopposites": 43795, - "cens": 43796, - "Ġsaga": 43797, - "ĠMolly": 43798, - "ĠHLA": 43799, - "Ġsubterranean": 43800, - "Ġreprogram": 43801, - "ĠShaping": 43802, - "Ġpathologist": 43803, - "ĠAfterwards": 43804, - "Ġpalae": 43805, - "Ġscripting": 43806, - "ĠAccom": 43807, - "Ġskeptics": 43808, - "Ġvacations": 43809, - "Ġblindly": 43810, - "aternary": 43811, - "ĠCosmic": 43812, - "Ġcrickets": 43813, - "Ġpolyphenols": 43814, - "Ġhilarious": 43815, - "tus": 43816, - "combe": 43817, - "Ġsubdivision": 43818, - "ĠHeating": 43819, - "Ġdepress": 43820, - "measured": 43821, - "ROP": 43822, - "Ġscriptural": 43823, - "ĠInstructional": 43824, - "Ġauspices": 43825, - "Ġartisanal": 43826, - "ĠCarpenter": 43827, - "æ¨": 43828, - "ĠCSI": 43829, - "ĠMate": 43830, - "acio": 43831, - "athy": 43832, - "ĠAnticip": 43833, - "ĠMetals": 43834, - "Constant": 43835, - "Ġescalation": 43836, - "Creative": 43837, - "Ġacquaintances": 43838, - "Ġemanating": 43839, - "Ġfuselage": 43840, - "Msg": 43841, - "Ġabbey": 43842, - "igning": 43843, - "Ġhermit": 43844, - "encycl": 43845, - "Ġsimplex": 43846, - "contour": 43847, - "ĠSuf": 43848, - "ĠPhDs": 43849, - "ĠHammer": 43850, - "ĠWoodrow": 43851, - "Ġmirroring": 43852, - "ĠMagnet": 43853, - "ĠPregnant": 43854, - "Ġhummingbirds": 43855, - "å¼ı": 43856, - "Ġstronghold": 43857, - "MetaInfoClass": 43858, - "GPS": 43859, - "preprocessing": 43860, - "Ġmodernism": 43861, - "ONS": 43862, - "Ġseparator": 43863, - "ĠMetabolic": 43864, - "masters": 43865, - "Ġhorsepower": 43866, - "Ġyeasts": 43867, - "Ġlobster": 43868, - "ĠSusp": 43869, - "ĠAutomated": 43870, - "Ġinpatient": 43871, - "Ġclassed": 43872, - "Ġrestitution": 43873, - "sphere": 43874, - "=\"<": 43875, - "Ġdatas": 43876, - "ĠGuards": 43877, - "ALT": 43878, - "Ġsnout": 43879, - "Received": 43880, - "ĠVoltage": 43881, - "Plastic": 43882, - "Ġgunpowder": 43883, - "ĠPlacement": 43884, - "Ġsplint": 43885, - "sentences": 43886, - "ĠDimensions": 43887, - "Ġdoctrinal": 43888, - "Gram": 43889, - "pies": 43890, - "Intrigued": 43891, - "Ġunsur": 43892, - "twentieth": 43893, - "GRAPH": 43894, - "Operations": 43895, - "ounsaturated": 43896, - "Ġamphibious": 43897, - "ĠVolcano": 43898, - "Ġinconvenient": 43899, - ">\")": 43900, - "fee": 43901, - "ĠčĊĉ": 43902, - "Ġpane": 43903, - "ĠTran": 43904, - "chdir": 43905, - "Ġbegging": 43906, - "),(": 43907, - "Ġpsychotic": 43908, - "Ġtreehouse": 43909, - "Ġwaits": 43910, - "ĠSyracuse": 43911, - "Ġauthentically": 43912, - "Ġbreeder": 43913, - "ĠCasey": 43914, - "ĠCrimes": 43915, - "Ġpadded": 43916, - "Ġwipes": 43917, - "ĠLivestock": 43918, - "ĠSamsung": 43919, - "BooleanField": 43920, - "Ġtouted": 43921, - "SUM": 43922, - "chet": 43923, - "arie": 43924, - "irvana": 43925, - "ĠCBC": 43926, - "ĠPRI": 43927, - "ĠLIB": 43928, - "Ġdecrypt": 43929, - "Ġannals": 43930, - "Ġmotherboard": 43931, - "Ġbuoyancy": 43932, - "Ġconjunctivitis": 43933, 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"agas": 43983, - "ardia": 43984, - "ignon": 43985, - "Changed": 43986, - "])]": 43987, - "vantage": 43988, - "Ġcollars": 43989, - "Ġconverters": 43990, - "Ġsegmented": 43991, - "ĠOccur": 43992, - "ĠInteresting": 43993, - "Ġfarewell": 43994, - "Ġlevied": 43995, - "uckingham": 43996, - "Ġattenuation": 43997, - "Release": 43998, - "SCH": 43999, - "tank": 44000, - "Ġinexperienced": 44001, - "ĠTL": 44002, - "utility": 44003, - "chio": 44004, - "chairs": 44005, - "ĠRSA": 44006, - "endium": 44007, - "apis": 44008, - "ussel": 44009, - "myth": 44010, - "Ġstepper": 44011, - "logged": 44012, - "patrick": 44013, - "adoop": 44014, - "Ġthinly": 44015, - "Ġepidermis": 44016, - "Manufact": 44017, - "ugger": 44018, - "Ġionizing": 44019, - "Ġcautioned": 44020, - "Ġmobilized": 44021, - "ĠHartford": 44022, - "ĠPunishment": 44023, - "dependency": 44024, - "ĠWinnipeg": 44025, - "Ġovereating": 44026, - "Ġdiastolic": 44027, - "Saving": 44028, - "bash": 44029, - "Ġcomed": 44030, - "ĠWrap": 44031, - 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"Ġarrogance": 44676, - "fresh": 44677, - "kid": 44678, - "ĠROM": 44679, - "ĠKick": 44680, - "ossils": 44681, - "autiful": 44682, - "Immun": 44683, - "iosync": 44684, - "Greater": 44685, - "ĠMussolini": 44686, - "gif": 44687, - "jk": 44688, - "Ġmasc": 44689, - "imuth": 44690, - "ĠDEF": 44691, - "ĠGom": 44692, - "actually": 44693, - "ĠJW": 44694, - "concent": 44695, - "cyst": 44696, - "Ġconstrued": 44697, - "Ġtopological": 44698, - "ĠUpdates": 44699, - "missible": 44700, - "ร": 44701, - "Ġvaricose": 44702, - "JC": 44703, - "cgi": 44704, - "Ġcic": 44705, - "Ġnipple": 44706, - "oders": 44707, - "ĠMPs": 44708, - "thor": 44709, - "ĠNairobi": 44710, - "Ġpresided": 44711, - "Ġdecou": 44712, - "Ġcarbox": 44713, - "Ġassociating": 44714, - "Ġspaceflight": 44715, - "ĠAllison": 44716, - "Ġstreak": 44717, - "ĠHolocene": 44718, - "Ġattractiveness": 44719, - "ĠMatthews": 44720, - "Enable": 44721, - "Ġcriticizing": 44722, - "successfully": 44723, - "OUTPUT": 44724, - "Ġmyelin": 44725, - "Evaluation": 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-[2026-09-25 10:07:23,058][numexpr.utils][INFO] - Note: NumExpr detected 24 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16. -[2026-09-25 10:07:23,058][numexpr.utils][INFO] - NumExpr defaulting to 16 threads. -[2026-09-25 10:07:25,384][datasets][INFO] - PyTorch version 2.2.2 available. -[2026-09-25 10:07:25,384][datasets][INFO] - TensorFlow version 2.15.1 available. -[2026-09-25 10:07:25,385][datasets][INFO] - JAX version 0.4.30 available. -[2026-09-25 10:07:40,422][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:07:52,804][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:07:58,244][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmph18_kwx7/test.c -o /tmp/tmph18_kwx7/test.o -[2026-09-25 10:07:58,299][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmph18_kwx7/test.o -laio -o /tmp/tmph18_kwx7/a.out -[2026-09-25 10:07:59,080][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmp4afai_2t/test.c -o /tmp/tmp4afai_2t/test.o -[2026-09-25 10:07:59,138][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmp4afai_2t/test.o -L/home/chyang/miniconda3/envs/llm-bc -L/home/chyang/miniconda3/envs/llm-bc/lib64 -lcufile -o /tmp/tmp4afai_2t/a.out diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/debug-internal.log 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-{"time":"2026-09-25T11:36:50.348885711+08:00","level":"INFO","msg":"handler: closed","stream_id":{"value":"4vx37hkk"}} -{"time":"2026-09-25T11:36:50.348916125+08:00","level":"INFO","msg":"writer: Close: closed","stream_id":{"value":"4vx37hkk"}} -{"time":"2026-09-25T11:36:50.348941681+08:00","level":"INFO","msg":"sender: closed","stream_id":"4vx37hkk"} -{"time":"2026-09-25T11:36:50.349054696+08:00","level":"INFO","msg":"stream: closed","id":"4vx37hkk"} diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/debug.log b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/debug.log deleted file mode 100644 index 3464d0c1e6911c5a0d78c79f61193334680f279d..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/debug.log +++ /dev/null @@ -1,35 +0,0 @@ -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Current SDK version is 0.18.6 -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Configure stats pid to 1947612 -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Loading settings from /home/chyang/.config/wandb/settings -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Loading settings from /tmp2/chyang/workspace/LLM-BC/wandb/settings -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Loading settings from environment variables: {} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': 'online', '_disable_service': None} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program_abspath': '/tmp2/chyang/workspace/LLM-BC/train.py', 'program': '/tmp2/chyang/workspace/LLM-BC/./train.py'} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Applying login settings: {} 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'dataset_batch_size': 1000, 'model_init_kwargs': None, 'dataset_kwargs': {}, 'eval_packing': None, 'num_of_sequences': 1024, 'chars_per_token': '', 'use_liger': False, 'joint_obs_action_mlp_lr': 5e-05, 'obs_mlp_lr': None, 'action_mlp_lr': None} -2026-09-25 10:08:08,227 INFO MainThread:1947612 [wandb_config.py:__setitem__():154] config set model/num_parameters = 134855424 - > -2026-09-25 10:08:08,227 INFO MainThread:1947612 [wandb_run.py:_config_callback():1389] config_cb model/num_parameters 134855424 None -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_finish():2146] finishing run b10902069-national-taiwan-university/llm_module_finetuning/4vx37hkk -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_atexit_cleanup():2414] got exitcode: 0 -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_restore():2396] restore -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_restore():2402] restore done -2026-09-25 11:36:50,342 INFO MainThread:1947612 [wandb_run.py:_footer_history_summary_info():3963] rendering history -2026-09-25 11:36:50,344 INFO MainThread:1947612 [wandb_run.py:_footer_history_summary_info():3995] rendering summary -2026-09-25 11:36:50,348 INFO MainThread:1947612 [wandb_run.py:_footer_sync_info():3922] logging synced files diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/config.yaml b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/config.yaml deleted file mode 100644 index 1c9a67e72611ef2e0f19f81fa7375bf09f18be0f..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/config.yaml +++ /dev/null @@ -1,713 +0,0 @@ -_attn_implementation_autoset: - value: true -_name_or_path: - value: HuggingFaceTB/SmolLM2-135M-Instruct -_target_: - value: llmbc.workspace.train_llm_workspace.TrainLLMWorkspace -_wandb: - value: - 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-dataloader_num_workers: - value: 0 -dataloader_persistent_workers: - value: false -dataloader_pin_memory: - value: true -dataloader_prefetch_factor: - value: null -dataset: - value: - test_data_ratio: 0.01 -dataset_batch_size: - value: 1000 -dataset_num_proc: - value: null -dataset_text_field: - value: text -ddp_backend: - value: null -ddp_broadcast_buffers: - value: null -ddp_bucket_cap_mb: - value: null -ddp_find_unused_parameters: - value: null -ddp_timeout: - value: 1800 -debug: - value: [] -decoder_start_token_id: - value: null -deepspeed: - value: null -disable_tqdm: - value: false -dispatch_batches: - value: null -diversity_penalty: - value: 0 -do_eval: - value: true -do_predict: - value: false -do_sample: - value: false -do_train: - value: false -early_stopping: - value: false -encoder_no_repeat_ngram_size: - value: 0 -eos_token_id: - value: 2 -eval_accumulation_steps: - value: null -eval_delay: - value: 0 -eval_do_concat_batches: - value: true -eval_on_start: - value: false -eval_packing: - value: null -eval_steps: - value: 10 -eval_strategy: - value: steps -eval_use_gather_object: - value: false -evaluation_strategy: - value: null -exp_name: - value: train llm -exponential_decay_length_penalty: - value: null -finetuning_task: - value: null -forced_bos_token_id: - value: null -forced_eos_token_id: - value: null -fp16: - value: false -fp16_backend: - value: auto -fp16_full_eval: - value: false -fp16_opt_level: - value: O1 -fsdp: - value: [] -fsdp_config: - value: - min_num_params: 0 - xla: false - xla_fsdp_grad_ckpt: false - xla_fsdp_v2: false -fsdp_min_num_params: - value: 0 -fsdp_transformer_layer_cls_to_wrap: - value: null -full_determinism: - value: false -gradient_accumulation_steps: - value: 1 -gradient_checkpointing: - value: false -gradient_checkpointing_kwargs: - value: null -greater_is_better: - value: null -group_by_length: - value: true -half_precision_backend: - value: auto -head_dim: - value: 64 -hidden_act: - value: silu -hidden_size: - value: 576 -horizon: - value: 1 -hub_always_push: - value: false -hub_model_id: - value: null -hub_private_repo: - value: null -hub_strategy: - value: every_save -hub_token: - value: -id2label: - value: - "0": LABEL_0 - "1": LABEL_1 -ignore_data_skip: - value: false -include_for_metrics: - value: [] -include_inputs_for_metrics: - value: false -include_num_input_tokens_seen: - value: false -include_tokens_per_second: - value: false -initializer_range: - value: 0.041666666666666664 -intermediate_size: - value: 1536 -is_decoder: - value: false -is_encoder_decoder: - value: false -is_llama_config: - value: true -jit_mode_eval: - value: false -joint_obs_action_mlp_lr: - value: 5e-05 -label_names: - value: null -label_smoothing_factor: - value: 0 -label2id: - value: - LABEL_0: 0 - LABEL_1: 1 -learning_rate: - value: 5e-05 -length_column_name: - value: length -length_penalty: - value: 1 -llm: - value: - causal_lm_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaForCausalLM - checkpoint: data/outputs/2026.09.24/17.18.06_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt - config_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaConfig - finetune_mode: orig - hydra: - job: - override_dirname: HuggingFaceTB/SmolLM2-135M-Instruct - run: - dir: data/outputs/2026.09.25/10.07.22_HuggingFaceTB/SmolLM2-135M-Instruct - llm_mode: mlp-finetuned - lora_config: - bias: none - lora_alpha: 64 - lora_dropout: 0.05 - r: 32 - task_type: CAUSAL_LM - max_length: 100 - model_name: SmolLM2-135M-Instruct - name: HuggingFaceTB/SmolLM2-135M-Instruct - prompter: - _target_: llmbc.translator.prompter.smollm2_prompter.SmolLM2Prompter - use_joint_mlp_projector: true - use_joint_mlp_projector: true - use_quantization: false -load_best_model_at_end: - value: false -local_rank: - value: 0 -log_level: - value: passive -log_level_replica: - value: warning -log_on_each_node: - value: true -logging: - value: - group: null - id: null - mode: online - name: 2026.09.25-10.07.22_train_llm_lowdim_box-close-v2 - project: llm_module_finetuning - resume: true - tags: - - train_llm_lowdim - - box-close-v2 - - train llm -logging_dir: - value: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/runs/Sep25_10-07-57_A6000 -logging_first_step: - value: false -logging_nan_inf_filter: - value: true -logging_steps: - value: 1 -logging_strategy: - value: steps -lora_config: - value: - bias: none - lora_alpha: 64 - lora_dropout: 0.05 - r: 32 - task_type: CAUSAL_LM -lr_scheduler_type: - value: linear -max_grad_norm: - value: 1 -max_length: - value: 20 -max_position_embeddings: - value: 8192 -max_seq_length: - value: 100 -max_steps: - value: -1 -metric_for_best_model: - value: null -min_length: - value: 0 -mlp_bias: - value: false -model/num_parameters: - value: 134855424 -model_init_kwargs: - value: null -model_name: - value: HuggingFaceTB/SmolLM2-135M-Instruct -model_type: - value: llama_lowdim -mp_parameters: - value: "" -multi_run: - value: - run_dir: data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2 - wandb_name_base: 2026.09.25-10.07.22_train_llm_lowdim_box-close-v2 -n_action_steps: - value: 1 -n_obs_steps: - value: 1 -name: - value: train_llm_lowdim -neftune_noise_alpha: - value: null -no_cuda: - value: false -no_repeat_ngram_size: - value: 0 -num_attention_heads: - value: 9 -num_beam_groups: - value: 1 -num_beams: - value: 1 -num_hidden_layers: - value: 30 -num_key_value_heads: - value: 3 -num_of_sequences: - value: 1024 -num_return_sequences: - value: 1 -num_train_epochs: - value: 10 -obs_dim: - value: 9 -obs_mlp_lr: - value: null -optim: - value: paged_adamw_32bit -optim_args: - value: null -optim_target_modules: - value: null -output_attentions: - value: false -output_dir: - value: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2 -output_hidden_states: - value: false -output_scores: - value: false -overwrite_output_dir: - value: false -packing: - value: false -pad_token_id: - value: 2 -past_index: - value: -1 -per_device_eval_batch_size: - value: 128 -per_device_train_batch_size: - value: 128 -per_gpu_eval_batch_size: - value: null -per_gpu_train_batch_size: - value: null -prediction_loss_only: - value: false -prefix: - value: null -pretraining_tp: - value: 1 -problem_type: - value: null -push_to_hub: - value: false -push_to_hub_model_id: - value: null -push_to_hub_organization: - value: null -push_to_hub_token: - value: -ray_scope: - value: last -remove_invalid_values: - value: false -remove_unused_columns: - value: true -repetition_penalty: - value: 1 -report_to: - value: - - wandb -restore_callback_states_from_checkpoint: - value: false -resume_from_checkpoint: - value: null -return_dict: - value: true -return_dict_in_generate: - value: false -rms_norm_eps: - value: 1e-05 -rope_interleaved: - value: false -rope_scaling: - value: null -rope_theta: - value: 100000 -run_name: - value: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2 -save_on_each_node: - value: false -save_only_model: - value: false -save_safetensors: - value: true -save_steps: - value: 5000 -save_strategy: - value: steps -save_total_limit: - value: null -seed: - value: 42 -sep_token_id: - value: null -skip_memory_metrics: - value: true -split_batches: - value: null -suppress_tokens: - value: null -task: - value: - action_dim: 4 - dataset: - _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset - data_path: datasets/box-close-v2-general-expsplit0.02-manual-expert-only.pt - data_path2: datasets/box-close-v2-split0.02.pt - dummy_normalizer: false - horizon: 1 - obs_eef_target: true - pad_after: 0 - pad_before: 0 - use_manual_normalizer: false - val_ratio: 0.05 - env_runner: - _target_: llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner - discount: 0.9 - env_name: llf-metaworld-box-close-v2 - feedback_type: - - hp - - hn - - fp - instruction_type: b - max_steps: 30 - n_action_steps: 1 - n_envs: 10 - n_obs_steps: 1 - n_test: 50 - n_train: 10 - visual: false - instructor: - _target_: llmbc.translator.instructor.metaworld_instructor.box_close_v2_instructor.BoxCloseV2Instructor - name: box-close-v2 - obs_dim: 9 -task_name: - value: box-close-v2 -task_specific_params: - value: null -temperature: - value: 1 -tf_legacy_loss: - value: false -tf32: - value: true -tie_encoder_decoder: - value: false -tie_word_embeddings: - value: true -tokenizer_class: - value: null -top_k: - value: 50 -top_p: - value: 1 -torch_compile: - value: false -torch_compile_backend: - value: null -torch_compile_mode: - value: null -torch_dtype: - value: bfloat16 -torch_empty_cache_steps: - value: null -torchdynamo: - value: null -torchscript: - value: false -tpu_metrics_debug: - value: false -tpu_num_cores: - value: null -trainer: - value: - action_dim: 4 - dataset_text_field: text - max_seq_length: 100 - obs_dim: 9 - packing: false - use_joint_mlp_projector: true -training: - value: - bf16: true - eval_steps: 10 - eval_strategy: steps - fp16: false - gradient_accumulation_steps: 1 - group_by_length: true - joint_obs_action_mlp_lr: 5e-05 - learning_rate: 5e-05 - logging_steps: 1 - logging_strategy: steps - num_train_epochs: 10 - optim: paged_adamw_32bit - per_device_eval_batch_size: 128 - per_device_train_batch_size: 128 - report_to: wandb - save_steps: 5000 - seed: 42 - tf32: true - use_joint_mlp_projector: true - warmup_steps: 10 -transformers.js_config: - value: - kv_cache_dtype: - fp16: float16 - q4f16: float16 -transformers_version: - value: 4.47.1 -typical_p: - value: 1 -use_bfloat16: - value: false -use_cache: - value: false -use_cpu: - value: false -use_ipex: - value: false -use_joint_mlp_projector: - value: true -use_legacy_prediction_loop: - value: false -use_liger: - value: false -use_liger_kernel: - value: false -use_mps_device: - value: false -use_quantization: - value: false -vocab_size: - value: 49152 -warmup_ratio: - value: 0 -warmup_steps: - value: 10 -weight_decay: - value: 0 diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/output.log b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/output.log deleted file mode 100644 index bb9845fdccfe2b27d726e525106b490a20d62527..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/output.log +++ /dev/null @@ -1,7282 +0,0 @@ -You are using a model of type llama to instantiate a model of type llama_lowdim. This is not supported for all configurations of models and can yield errors. -Some weights of LowdimLlamaForCausalLM were not initialized from the model checkpoint at HuggingFaceTB/SmolLM2-135M-Instruct and are newly initialized: ['model.joint_obs_action_projector.projector.0.bias', 'model.joint_obs_action_projector.projector.0.weight', 'model.joint_obs_action_projector.projector.2.bias', 'model.joint_obs_action_projector.projector.2.weight'] -You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. -Loading from mlp projector checkpoint: data/outputs/2026.09.24/17.18.06_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt -Finetune the whole original LLM SmolLM2-135M-Instruct. -Multistep Flattening Dataset: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 71915/71915 [00:10<00:00, 7183.36it/s] -Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:07:40,422][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -Map (num_proc=4): 100%|██████████████████████████████████████████████████████████████████████████████████████████████████| 71915/71915 [00:10<00:00, 6774.17 examples/s] -Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:07:52,804][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -Map (num_proc=4): 100%|█████████████████████████████████████████████████████████████████████████████████████████████████| 71915/71915 [00:04<00:00, 14425.29 examples/s] -DatasetDict({ - train: Dataset({ - features: ['obs', 'action', 'description', 'input', 'output', 'text', 'input_ids', 'labels'], - num_rows: 71195 - }) - test: Dataset({ - features: ['obs', 'action', 'description', 'input', 'output', 'text', 'input_ids', 'labels'], - num_rows: 720 - }) -}) -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py:100: FutureWarning: Deprecated argument(s) used in '__init__': max_seq_length, dataset_text_field. Will not be supported from version '1.0.0'. - -Deprecated positional argument(s) used in SFTTrainer, please use the SFTConfig to set these arguments instead. - warnings.warn(message, FutureWarning) -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:283: UserWarning: You passed a `max_seq_length` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`. - warnings.warn( -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:321: UserWarning: You passed a `dataset_text_field` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`. - warnings.warn( -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:401: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `LowdimSFTTrainer.__init__`. Use `processing_class` instead. - super().__init__( -[2026-09-25 10:07:58,092] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect) -[2026-09-25 10:07:58,244][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmph18_kwx7/test.c -o /tmp/tmph18_kwx7/test.o -[2026-09-25 10:07:58,299][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmph18_kwx7/test.o -laio -o /tmp/tmph18_kwx7/a.out -[2026-09-25 10:07:59,080][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmp4afai_2t/test.c -o /tmp/tmp4afai_2t/test.o -[2026-09-25 10:07:59,138][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmp4afai_2t/test.o -L/home/chyang/miniconda3/envs/llm-bc -L/home/chyang/miniconda3/envs/llm-bc/lib64 -lcufile -o /tmp/tmp4afai_2t/a.out -wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter. - 0%|▏ | 10/5570 [00:08<1:12:42, 1.27it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'loss': 1.6313, 'grad_norm': 110.47600555419922, 'learning_rate': 5e-06, 'epoch': 0.0} -{'loss': 1.6664, 'grad_norm': 151.8645782470703, 'learning_rate': 1e-05, 'epoch': 0.0} -{'loss': 1.6442, 'grad_norm': 225.31973266601562, 'learning_rate': 1.5e-05, 'epoch': 0.01} -{'loss': 1.7237, 'grad_norm': 300.61700439453125, 'learning_rate': 2e-05, 'epoch': 0.01} -{'loss': 1.7295, 'grad_norm': 252.26637268066406, 'learning_rate': 2.5e-05, 'epoch': 0.01} -{'loss': 1.8491, 'grad_norm': 325.85205078125, 'learning_rate': 3e-05, 'epoch': 0.01} -{'loss': 1.7768, 'grad_norm': 153.98008728027344, 'learning_rate': 3.5e-05, 'epoch': 0.01} -{'loss': 1.5787, 'grad_norm': 84.6712875366211, 'learning_rate': 4e-05, 'epoch': 0.01} -{'loss': 1.5999, 'grad_norm': 264.2292175292969, 'learning_rate': 4.5e-05, 'epoch': 0.02} -{'loss': 1.513, 'grad_norm': 139.0103302001953, 'learning_rate': 5e-05, 'epoch': 0.02} -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. - 0%|▍ | 20/5570 [00:18<1:22:50, 1.12it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 1.4682300090789795, 'eval_runtime': 1.482, 'eval_samples_per_second': 485.82, 'eval_steps_per_second': 4.049, 'epoch': 0.02} -{'loss': 1.4465, 'grad_norm': 123.69937896728516, 'learning_rate': 4.9991007194244606e-05, 'epoch': 0.02} -{'loss': 1.326, 'grad_norm': 59.93362808227539, 'learning_rate': 4.998201438848921e-05, 'epoch': 0.02} -{'loss': 1.0742, 'grad_norm': 61.14170837402344, 'learning_rate': 4.9973021582733814e-05, 'epoch': 0.02} -{'loss': 1.03, 'grad_norm': 38.940460205078125, 'learning_rate': 4.9964028776978425e-05, 'epoch': 0.03} -{'loss': 0.9733, 'grad_norm': 41.25666809082031, 'learning_rate': 4.995503597122302e-05, 'epoch': 0.03} -{'loss': 0.8985, 'grad_norm': 24.740137100219727, 'learning_rate': 4.9946043165467626e-05, 'epoch': 0.03} -{'loss': 0.8847, 'grad_norm': 34.427223205566406, 'learning_rate': 4.9937050359712236e-05, 'epoch': 0.03} -{'loss': 0.7689, 'grad_norm': 15.92790412902832, 'learning_rate': 4.992805755395683e-05, 'epoch': 0.03} -{'loss': 0.7288, 'grad_norm': 23.062763214111328, 'learning_rate': 4.9919064748201444e-05, 'epoch': 0.03} -{'loss': 0.7813, 'grad_norm': 16.045665740966797, 'learning_rate': 4.991007194244605e-05, 'epoch': 0.04} - 1%|▋ | 30/5570 [00:28<1:23:08, 1.11it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.7161519527435303, 'eval_runtime': 1.504, 'eval_samples_per_second': 478.721, 'eval_steps_per_second': 3.989, 'epoch': 0.04} -{'loss': 0.681, 'grad_norm': 22.35293960571289, 'learning_rate': 4.990107913669065e-05, 'epoch': 0.04} -{'loss': 0.6855, 'grad_norm': 8.48483943939209, 'learning_rate': 4.9892086330935255e-05, 'epoch': 0.04} -{'loss': 0.6562, 'grad_norm': 13.435270309448242, 'learning_rate': 4.988309352517986e-05, 'epoch': 0.04} -{'loss': 0.6735, 'grad_norm': 11.262991905212402, 'learning_rate': 4.987410071942446e-05, 'epoch': 0.04} -{'loss': 0.6518, 'grad_norm': 12.527458190917969, 'learning_rate': 4.986510791366907e-05, 'epoch': 0.04} -{'loss': 0.6247, 'grad_norm': 6.905653476715088, 'learning_rate': 4.985611510791367e-05, 'epoch': 0.05} -{'loss': 0.5996, 'grad_norm': 8.988749504089355, 'learning_rate': 4.9847122302158275e-05, 'epoch': 0.05} -{'loss': 0.6053, 'grad_norm': 6.7905097007751465, 'learning_rate': 4.983812949640288e-05, 'epoch': 0.05} -{'loss': 0.6258, 'grad_norm': 6.321569919586182, 'learning_rate': 4.982913669064748e-05, 'epoch': 0.05} -{'loss': 0.5766, 'grad_norm': 3.9361698627471924, 'learning_rate': 4.982014388489209e-05, 'epoch': 0.05} - 1%|▉ | 40/5570 [00:39<1:24:03, 1.10it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.6006574034690857, 'eval_runtime': 1.524, 'eval_samples_per_second': 472.427, 'eval_steps_per_second': 3.937, 'epoch': 0.05} -{'loss': 0.6009, 'grad_norm': 7.606547832489014, 'learning_rate': 4.981115107913669e-05, 'epoch': 0.06} -{'loss': 0.5826, 'grad_norm': 6.202647686004639, 'learning_rate': 4.98021582733813e-05, 'epoch': 0.06} -{'loss': 0.5779, 'grad_norm': 5.885756015777588, 'learning_rate': 4.9793165467625905e-05, 'epoch': 0.06} -{'loss': 0.5778, 'grad_norm': 5.189788818359375, 'learning_rate': 4.97841726618705e-05, 'epoch': 0.06} -{'loss': 0.5774, 'grad_norm': 7.647156238555908, 'learning_rate': 4.977517985611511e-05, 'epoch': 0.06} -{'loss': 0.5682, 'grad_norm': 4.426138401031494, 'learning_rate': 4.9766187050359716e-05, 'epoch': 0.06} -{'loss': 0.5695, 'grad_norm': 5.875474452972412, 'learning_rate': 4.975719424460432e-05, 'epoch': 0.07} -{'loss': 0.568, 'grad_norm': 6.0021491050720215, 'learning_rate': 4.9748201438848924e-05, 'epoch': 0.07} -{'loss': 0.5638, 'grad_norm': 6.621654987335205, 'learning_rate': 4.973920863309353e-05, 'epoch': 0.07} -{'loss': 0.5498, 'grad_norm': 3.0733489990234375, 'learning_rate': 4.973021582733813e-05, 'epoch': 0.07} - 1%|█▏ | 50/5570 [00:49<1:25:41, 1.07it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5600712299346924, 'eval_runtime': 1.4992, 'eval_samples_per_second': 480.259, 'eval_steps_per_second': 4.002, 'epoch': 0.07} -{'loss': 0.5496, 'grad_norm': 4.916512489318848, 'learning_rate': 4.9721223021582735e-05, 'epoch': 0.07} -{'loss': 0.5789, 'grad_norm': 5.116775035858154, 'learning_rate': 4.971223021582734e-05, 'epoch': 0.08} -{'loss': 0.5344, 'grad_norm': 3.4121253490448, 'learning_rate': 4.970323741007194e-05, 'epoch': 0.08} -{'loss': 0.5494, 'grad_norm': 3.1117937564849854, 'learning_rate': 4.969424460431655e-05, 'epoch': 0.08} -{'loss': 0.5442, 'grad_norm': 2.969738245010376, 'learning_rate': 4.968525179856116e-05, 'epoch': 0.08} -{'loss': 0.5313, 'grad_norm': 2.5791049003601074, 'learning_rate': 4.9676258992805755e-05, 'epoch': 0.08} -{'loss': 0.543, 'grad_norm': 3.318800926208496, 'learning_rate': 4.966726618705036e-05, 'epoch': 0.08} -{'loss': 0.5363, 'grad_norm': 2.720738172531128, 'learning_rate': 4.965827338129497e-05, 'epoch': 0.09} -{'loss': 0.5483, 'grad_norm': 3.4566357135772705, 'learning_rate': 4.9649280575539566e-05, 'epoch': 0.09} -{'loss': 0.5353, 'grad_norm': 2.796846389770508, 'learning_rate': 4.964028776978418e-05, 'epoch': 0.09} - 1%|█▎ | 60/5570 [00:59<1:14:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5446160435676575, 'eval_runtime': 1.5043, 'eval_samples_per_second': 478.643, 'eval_steps_per_second': 3.989, 'epoch': 0.09} -{'loss': 0.5331, 'grad_norm': 3.8506624698638916, 'learning_rate': 4.963129496402878e-05, 'epoch': 0.09} -{'loss': 0.5374, 'grad_norm': 3.4599790573120117, 'learning_rate': 4.9622302158273385e-05, 'epoch': 0.09} -{'loss': 0.5429, 'grad_norm': 3.958120822906494, 'learning_rate': 4.961330935251799e-05, 'epoch': 0.1} -{'loss': 0.531, 'grad_norm': 2.7439677715301514, 'learning_rate': 4.960431654676259e-05, 'epoch': 0.1} -{'loss': 0.5251, 'grad_norm': 5.168515205383301, 'learning_rate': 4.9595323741007196e-05, 'epoch': 0.1} -{'loss': 0.5437, 'grad_norm': 3.6416659355163574, 'learning_rate': 4.95863309352518e-05, 'epoch': 0.1} -{'loss': 0.5581, 'grad_norm': 2.1214616298675537, 'learning_rate': 4.9577338129496404e-05, 'epoch': 0.1} -{'loss': 0.5141, 'grad_norm': 1.865328311920166, 'learning_rate': 4.9568345323741015e-05, 'epoch': 0.1} -{'loss': 0.524, 'grad_norm': 2.4673662185668945, 'learning_rate': 4.955935251798561e-05, 'epoch': 0.11} -{'loss': 0.5176, 'grad_norm': 2.3762831687927246, 'learning_rate': 4.9550359712230215e-05, 'epoch': 0.11} - 1%|█▌ | 70/5570 [01:08<1:13:52, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5286065936088562, 'eval_runtime': 1.4958, 'eval_samples_per_second': 481.364, 'eval_steps_per_second': 4.011, 'epoch': 0.11} -{'loss': 0.5415, 'grad_norm': 4.043259143829346, 'learning_rate': 4.9541366906474826e-05, 'epoch': 0.11} -{'loss': 0.5489, 'grad_norm': 2.628551721572876, 'learning_rate': 4.953237410071942e-05, 'epoch': 0.11} -{'loss': 0.5214, 'grad_norm': 4.820228576660156, 'learning_rate': 4.9523381294964034e-05, 'epoch': 0.11} -{'loss': 0.5322, 'grad_norm': 4.398283004760742, 'learning_rate': 4.951438848920864e-05, 'epoch': 0.11} -{'loss': 0.5338, 'grad_norm': 1.7389492988586426, 'learning_rate': 4.9505395683453235e-05, 'epoch': 0.12} -{'loss': 0.5302, 'grad_norm': 2.6693570613861084, 'learning_rate': 4.9496402877697845e-05, 'epoch': 0.12} -{'loss': 0.5298, 'grad_norm': 2.1254897117614746, 'learning_rate': 4.948741007194245e-05, 'epoch': 0.12} -{'loss': 0.526, 'grad_norm': 3.2119626998901367, 'learning_rate': 4.947841726618705e-05, 'epoch': 0.12} -{'loss': 0.5088, 'grad_norm': 2.640923023223877, 'learning_rate': 4.946942446043166e-05, 'epoch': 0.12} -{'loss': 0.5348, 'grad_norm': 2.1186630725860596, 'learning_rate': 4.946043165467626e-05, 'epoch': 0.13} - 1%|█▊ | 80/5570 [01:18<1:14:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5189500451087952, 'eval_runtime': 1.5396, 'eval_samples_per_second': 467.64, 'eval_steps_per_second': 3.897, 'epoch': 0.13} -{'loss': 0.5173, 'grad_norm': 2.4639270305633545, 'learning_rate': 4.9451438848920865e-05, 'epoch': 0.13} -{'loss': 0.5267, 'grad_norm': 2.099815607070923, 'learning_rate': 4.944244604316547e-05, 'epoch': 0.13} -{'loss': 0.5234, 'grad_norm': 1.9245786666870117, 'learning_rate': 4.943345323741008e-05, 'epoch': 0.13} -{'loss': 0.5259, 'grad_norm': 1.9941017627716064, 'learning_rate': 4.9424460431654676e-05, 'epoch': 0.13} -{'loss': 0.5265, 'grad_norm': 2.61104154586792, 'learning_rate': 4.941546762589928e-05, 'epoch': 0.13} -{'loss': 0.5249, 'grad_norm': 2.127749443054199, 'learning_rate': 4.940647482014389e-05, 'epoch': 0.14} -{'loss': 0.5168, 'grad_norm': 1.6206971406936646, 'learning_rate': 4.939748201438849e-05, 'epoch': 0.14} -{'loss': 0.5116, 'grad_norm': 1.9555115699768066, 'learning_rate': 4.93884892086331e-05, 'epoch': 0.14} -{'loss': 0.5193, 'grad_norm': 1.7754837274551392, 'learning_rate': 4.93794964028777e-05, 'epoch': 0.14} -{'loss': 0.5153, 'grad_norm': 2.6624083518981934, 'learning_rate': 4.9370503597122306e-05, 'epoch': 0.14} - 2%|██ | 90/5570 [01:27<1:14:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.51247239112854, 'eval_runtime': 1.5041, 'eval_samples_per_second': 478.702, 'eval_steps_per_second': 3.989, 'epoch': 0.14} -{'loss': 0.518, 'grad_norm': 2.1412668228149414, 'learning_rate': 4.936151079136691e-05, 'epoch': 0.15} -{'loss': 0.5157, 'grad_norm': 2.743021249771118, 'learning_rate': 4.9352517985611514e-05, 'epoch': 0.15} -{'loss': 0.5159, 'grad_norm': 2.5817787647247314, 'learning_rate': 4.934352517985612e-05, 'epoch': 0.15} -{'loss': 0.5165, 'grad_norm': 2.1362226009368896, 'learning_rate': 4.933453237410072e-05, 'epoch': 0.15} -{'loss': 0.5227, 'grad_norm': 2.2073545455932617, 'learning_rate': 4.9325539568345325e-05, 'epoch': 0.15} -{'loss': 0.5123, 'grad_norm': 1.7171070575714111, 'learning_rate': 4.931654676258993e-05, 'epoch': 0.15} -{'loss': 0.5006, 'grad_norm': 1.3915730714797974, 'learning_rate': 4.930755395683453e-05, 'epoch': 0.16} -{'loss': 0.5146, 'grad_norm': 1.4511398077011108, 'learning_rate': 4.929856115107914e-05, 'epoch': 0.16} -{'loss': 0.5174, 'grad_norm': 1.4641252756118774, 'learning_rate': 4.928956834532375e-05, 'epoch': 0.16} -{'loss': 0.5153, 'grad_norm': 1.5827229022979736, 'learning_rate': 4.9280575539568345e-05, 'epoch': 0.16} - 2%|██▎ | 100/5570 [01:37<1:14:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5058284997940063, 'eval_runtime': 1.5089, 'eval_samples_per_second': 477.166, 'eval_steps_per_second': 3.976, 'epoch': 0.16} -{'loss': 0.5021, 'grad_norm': 1.3752864599227905, 'learning_rate': 4.9271582733812955e-05, 'epoch': 0.16} -{'loss': 0.5191, 'grad_norm': 1.978962779045105, 'learning_rate': 4.926258992805756e-05, 'epoch': 0.17} -{'loss': 0.5309, 'grad_norm': 3.067641258239746, 'learning_rate': 4.9253597122302156e-05, 'epoch': 0.17} -{'loss': 0.5118, 'grad_norm': 3.023005247116089, 'learning_rate': 4.924460431654677e-05, 'epoch': 0.17} -{'loss': 0.505, 'grad_norm': 3.286186695098877, 'learning_rate': 4.923561151079137e-05, 'epoch': 0.17} -{'loss': 0.5263, 'grad_norm': 3.300635576248169, 'learning_rate': 4.9226618705035975e-05, 'epoch': 0.17} -{'loss': 0.5246, 'grad_norm': 2.9796500205993652, 'learning_rate': 4.921762589928058e-05, 'epoch': 0.17} -{'loss': 0.5141, 'grad_norm': 2.6987156867980957, 'learning_rate': 4.920863309352518e-05, 'epoch': 0.18} -{'loss': 0.4988, 'grad_norm': 3.015873908996582, 'learning_rate': 4.9199640287769786e-05, 'epoch': 0.18} -{'loss': 0.5214, 'grad_norm': 2.800748109817505, 'learning_rate': 4.919064748201439e-05, 'epoch': 0.18} - 2%|██▍ | 110/5570 [01:46<1:14:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49761098623275757, 'eval_runtime': 1.5075, 'eval_samples_per_second': 477.616, 'eval_steps_per_second': 3.98, 'epoch': 0.18} -{'loss': 0.4961, 'grad_norm': 1.2114970684051514, 'learning_rate': 4.9181654676258994e-05, 'epoch': 0.18} -{'loss': 0.5142, 'grad_norm': 3.3233466148376465, 'learning_rate': 4.91726618705036e-05, 'epoch': 0.18} -{'loss': 0.5055, 'grad_norm': 2.419135570526123, 'learning_rate': 4.91636690647482e-05, 'epoch': 0.18} -{'loss': 0.4967, 'grad_norm': 1.3885048627853394, 'learning_rate': 4.915467625899281e-05, 'epoch': 0.19} -{'loss': 0.5126, 'grad_norm': 2.0137267112731934, 'learning_rate': 4.914568345323741e-05, 'epoch': 0.19} -{'loss': 0.5043, 'grad_norm': 1.731693983078003, 'learning_rate': 4.913669064748201e-05, 'epoch': 0.19} -{'loss': 0.5005, 'grad_norm': 1.531618356704712, 'learning_rate': 4.9127697841726624e-05, 'epoch': 0.19} -{'loss': 0.4969, 'grad_norm': 2.841618061065674, 'learning_rate': 4.911870503597123e-05, 'epoch': 0.19} -{'loss': 0.5246, 'grad_norm': 1.4797581434249878, 'learning_rate': 4.910971223021583e-05, 'epoch': 0.2} -{'loss': 0.4899, 'grad_norm': 1.9907197952270508, 'learning_rate': 4.9100719424460435e-05, 'epoch': 0.2} - 2%|██▋ | 120/5570 [01:56<1:13:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4983333945274353, 'eval_runtime': 1.5434, 'eval_samples_per_second': 466.491, 'eval_steps_per_second': 3.887, 'epoch': 0.2} -{'loss': 0.516, 'grad_norm': 2.375223159790039, 'learning_rate': 4.909172661870504e-05, 'epoch': 0.2} -{'loss': 0.5039, 'grad_norm': 2.035125970840454, 'learning_rate': 4.908273381294964e-05, 'epoch': 0.2} -{'loss': 0.5088, 'grad_norm': 1.9604607820510864, 'learning_rate': 4.907374100719425e-05, 'epoch': 0.2} -{'loss': 0.5113, 'grad_norm': 1.6160573959350586, 'learning_rate': 4.906474820143885e-05, 'epoch': 0.2} -{'loss': 0.4985, 'grad_norm': 1.804223656654358, 'learning_rate': 4.9055755395683455e-05, 'epoch': 0.21} -{'loss': 0.499, 'grad_norm': 2.088850736618042, 'learning_rate': 4.904676258992806e-05, 'epoch': 0.21} -{'loss': 0.5013, 'grad_norm': 1.5101855993270874, 'learning_rate': 4.903776978417267e-05, 'epoch': 0.21} -{'loss': 0.4974, 'grad_norm': 1.74942946434021, 'learning_rate': 4.9028776978417266e-05, 'epoch': 0.21} -{'loss': 0.5028, 'grad_norm': 2.018192768096924, 'learning_rate': 4.901978417266188e-05, 'epoch': 0.21} -{'loss': 0.5031, 'grad_norm': 1.4670891761779785, 'learning_rate': 4.901079136690648e-05, 'epoch': 0.22} - 2%|██▉ | 130/5570 [02:05<1:13:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49615997076034546, 'eval_runtime': 1.5413, 'eval_samples_per_second': 467.153, 'eval_steps_per_second': 3.893, 'epoch': 0.22} -{'loss': 0.498, 'grad_norm': 1.8509539365768433, 'learning_rate': 4.900179856115108e-05, 'epoch': 0.22} -{'loss': 0.5021, 'grad_norm': 1.9711178541183472, 'learning_rate': 4.899280575539569e-05, 'epoch': 0.22} -{'loss': 0.4972, 'grad_norm': 1.470839262008667, 'learning_rate': 4.898381294964029e-05, 'epoch': 0.22} -{'loss': 0.5043, 'grad_norm': 2.3584437370300293, 'learning_rate': 4.897482014388489e-05, 'epoch': 0.22} -{'loss': 0.4933, 'grad_norm': 1.8996473550796509, 'learning_rate': 4.89658273381295e-05, 'epoch': 0.22} -{'loss': 0.4935, 'grad_norm': 1.5529149770736694, 'learning_rate': 4.8956834532374104e-05, 'epoch': 0.23} -{'loss': 0.5018, 'grad_norm': 1.58113694190979, 'learning_rate': 4.894784172661871e-05, 'epoch': 0.23} -{'loss': 0.491, 'grad_norm': 1.7768551111221313, 'learning_rate': 4.893884892086331e-05, 'epoch': 0.23} -{'loss': 0.4914, 'grad_norm': 1.8758304119110107, 'learning_rate': 4.8929856115107915e-05, 'epoch': 0.23} -{'loss': 0.5018, 'grad_norm': 3.617281675338745, 'learning_rate': 4.892086330935252e-05, 'epoch': 0.23} - 3%|███▏ | 140/5570 [02:15<1:14:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5037307143211365, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.307, 'eval_steps_per_second': 3.936, 'epoch': 0.23} -{'loss': 0.511, 'grad_norm': 4.326841354370117, 'learning_rate': 4.891187050359712e-05, 'epoch': 0.24} -{'loss': 0.5068, 'grad_norm': 1.5106909275054932, 'learning_rate': 4.8902877697841734e-05, 'epoch': 0.24} -{'loss': 0.5121, 'grad_norm': 4.255082130432129, 'learning_rate': 4.889388489208633e-05, 'epoch': 0.24} -{'loss': 0.5153, 'grad_norm': 4.124760627746582, 'learning_rate': 4.8884892086330935e-05, 'epoch': 0.24} -{'loss': 0.5063, 'grad_norm': 2.6689157485961914, 'learning_rate': 4.8875899280575545e-05, 'epoch': 0.24} -{'loss': 0.5085, 'grad_norm': 2.2333524227142334, 'learning_rate': 4.886690647482014e-05, 'epoch': 0.24} -{'loss': 0.5171, 'grad_norm': 2.351738929748535, 'learning_rate': 4.885791366906475e-05, 'epoch': 0.25} -{'loss': 0.5128, 'grad_norm': 2.244797468185425, 'learning_rate': 4.884892086330936e-05, 'epoch': 0.25} -{'loss': 0.5018, 'grad_norm': 2.0537521839141846, 'learning_rate': 4.883992805755396e-05, 'epoch': 0.25} -{'loss': 0.5038, 'grad_norm': 2.820521116256714, 'learning_rate': 4.8830935251798564e-05, 'epoch': 0.25} - 3%|███▍ | 150/5570 [02:25<1:13:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4954216778278351, 'eval_runtime': 1.5223, 'eval_samples_per_second': 472.954, 'eval_steps_per_second': 3.941, 'epoch': 0.25} -{'loss': 0.5057, 'grad_norm': 1.5589929819107056, 'learning_rate': 4.882194244604317e-05, 'epoch': 0.25} -{'loss': 0.5027, 'grad_norm': 1.911294937133789, 'learning_rate': 4.881294964028777e-05, 'epoch': 0.25} -{'loss': 0.5028, 'grad_norm': 2.053368330001831, 'learning_rate': 4.8803956834532376e-05, 'epoch': 0.26} -{'loss': 0.4845, 'grad_norm': 1.2340670824050903, 'learning_rate': 4.879496402877698e-05, 'epoch': 0.26} -{'loss': 0.5034, 'grad_norm': 1.5380772352218628, 'learning_rate': 4.8785971223021584e-05, 'epoch': 0.26} -{'loss': 0.4881, 'grad_norm': 1.326157808303833, 'learning_rate': 4.877697841726619e-05, 'epoch': 0.26} -{'loss': 0.4896, 'grad_norm': 1.0660988092422485, 'learning_rate': 4.876798561151079e-05, 'epoch': 0.26} -{'loss': 0.5098, 'grad_norm': 2.1397271156311035, 'learning_rate': 4.87589928057554e-05, 'epoch': 0.27} -{'loss': 0.5087, 'grad_norm': 2.3268120288848877, 'learning_rate': 4.875e-05, 'epoch': 0.27} -{'loss': 0.4953, 'grad_norm': 2.0316214561462402, 'learning_rate': 4.874100719424461e-05, 'epoch': 0.27} - 3%|███▌ | 160/5570 [02:34<1:13:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4935672879219055, 'eval_runtime': 1.5315, 'eval_samples_per_second': 470.14, 'eval_steps_per_second': 3.918, 'epoch': 0.27} -{'loss': 0.4989, 'grad_norm': 1.988851547241211, 'learning_rate': 4.8732014388489214e-05, 'epoch': 0.27} -{'loss': 0.501, 'grad_norm': 1.250312328338623, 'learning_rate': 4.872302158273381e-05, 'epoch': 0.27} -{'loss': 0.5015, 'grad_norm': 1.602577805519104, 'learning_rate': 4.871402877697842e-05, 'epoch': 0.27} -{'loss': 0.508, 'grad_norm': 1.5657267570495605, 'learning_rate': 4.8705035971223025e-05, 'epoch': 0.28} -{'loss': 0.4932, 'grad_norm': 1.1939682960510254, 'learning_rate': 4.869604316546763e-05, 'epoch': 0.28} -{'loss': 0.5004, 'grad_norm': 1.3882259130477905, 'learning_rate': 4.868705035971223e-05, 'epoch': 0.28} -{'loss': 0.4875, 'grad_norm': 1.347161054611206, 'learning_rate': 4.867805755395684e-05, 'epoch': 0.28} -{'loss': 0.4957, 'grad_norm': 1.3014272451400757, 'learning_rate': 4.866906474820144e-05, 'epoch': 0.28} -{'loss': 0.5062, 'grad_norm': 1.1790106296539307, 'learning_rate': 4.8660071942446044e-05, 'epoch': 0.29} -{'loss': 0.4867, 'grad_norm': 1.3578835725784302, 'learning_rate': 4.865107913669065e-05, 'epoch': 0.29} - 3%|███▊ | 170/5570 [02:44<1:13:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4886763393878937, 'eval_runtime': 1.5248, 'eval_samples_per_second': 472.198, 'eval_steps_per_second': 3.935, 'epoch': 0.29} -{'loss': 0.4915, 'grad_norm': 1.4696694612503052, 'learning_rate': 4.864208633093525e-05, 'epoch': 0.29} -{'loss': 0.499, 'grad_norm': 2.5947964191436768, 'learning_rate': 4.8633093525179856e-05, 'epoch': 0.29} -{'loss': 0.4886, 'grad_norm': 2.1119561195373535, 'learning_rate': 4.862410071942447e-05, 'epoch': 0.29} -{'loss': 0.4927, 'grad_norm': 1.8559999465942383, 'learning_rate': 4.8615107913669064e-05, 'epoch': 0.29} -{'loss': 0.4878, 'grad_norm': 2.491271734237671, 'learning_rate': 4.860611510791367e-05, 'epoch': 0.3} -{'loss': 0.4906, 'grad_norm': 1.6117372512817383, 'learning_rate': 4.859712230215828e-05, 'epoch': 0.3} -{'loss': 0.4908, 'grad_norm': 1.4970471858978271, 'learning_rate': 4.858812949640288e-05, 'epoch': 0.3} -{'loss': 0.4872, 'grad_norm': 1.1035157442092896, 'learning_rate': 4.8579136690647486e-05, 'epoch': 0.3} -{'loss': 0.4961, 'grad_norm': 1.7762213945388794, 'learning_rate': 4.857014388489209e-05, 'epoch': 0.3} -{'loss': 0.4886, 'grad_norm': 1.8017909526824951, 'learning_rate': 4.8561151079136694e-05, 'epoch': 0.31} - 3%|████ | 180/5570 [02:53<1:13:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4886821210384369, 'eval_runtime': 1.5144, 'eval_samples_per_second': 475.422, 'eval_steps_per_second': 3.962, 'epoch': 0.31} -{'loss': 0.4885, 'grad_norm': 1.6537305116653442, 'learning_rate': 4.85521582733813e-05, 'epoch': 0.31} -{'loss': 0.5068, 'grad_norm': 2.261604070663452, 'learning_rate': 4.85431654676259e-05, 'epoch': 0.31} -{'loss': 0.5059, 'grad_norm': 1.7877864837646484, 'learning_rate': 4.8534172661870505e-05, 'epoch': 0.31} -{'loss': 0.4822, 'grad_norm': 1.0415865182876587, 'learning_rate': 4.852517985611511e-05, 'epoch': 0.31} -{'loss': 0.4802, 'grad_norm': 1.4948660135269165, 'learning_rate': 4.851618705035971e-05, 'epoch': 0.31} -{'loss': 0.4947, 'grad_norm': 1.4605567455291748, 'learning_rate': 4.8507194244604324e-05, 'epoch': 0.32} -{'loss': 0.4827, 'grad_norm': 1.498001217842102, 'learning_rate': 4.849820143884892e-05, 'epoch': 0.32} -{'loss': 0.4911, 'grad_norm': 1.160003662109375, 'learning_rate': 4.848920863309353e-05, 'epoch': 0.32} -{'loss': 0.4897, 'grad_norm': 1.547162413597107, 'learning_rate': 4.8480215827338135e-05, 'epoch': 0.32} -{'loss': 0.5144, 'grad_norm': 2.3167715072631836, 'learning_rate': 4.847122302158273e-05, 'epoch': 0.32} - 3%|████▎ | 190/5570 [03:03<1:12:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48302730917930603, 'eval_runtime': 1.5387, 'eval_samples_per_second': 467.921, 'eval_steps_per_second': 3.899, 'epoch': 0.32} -{'loss': 0.4889, 'grad_norm': 1.8758022785186768, 'learning_rate': 4.846223021582734e-05, 'epoch': 0.32} -{'loss': 0.49, 'grad_norm': 1.7385250329971313, 'learning_rate': 4.845323741007195e-05, 'epoch': 0.33} -{'loss': 0.4902, 'grad_norm': 1.9279896020889282, 'learning_rate': 4.8444244604316544e-05, 'epoch': 0.33} -{'loss': 0.4837, 'grad_norm': 1.0748153924942017, 'learning_rate': 4.8435251798561154e-05, 'epoch': 0.33} -{'loss': 0.4979, 'grad_norm': 1.9278607368469238, 'learning_rate': 4.842625899280576e-05, 'epoch': 0.33} -{'loss': 0.4835, 'grad_norm': 1.3321956396102905, 'learning_rate': 4.841726618705036e-05, 'epoch': 0.33} -{'loss': 0.5017, 'grad_norm': 1.300026774406433, 'learning_rate': 4.8408273381294966e-05, 'epoch': 0.34} -{'loss': 0.4735, 'grad_norm': 1.2244722843170166, 'learning_rate': 4.839928057553957e-05, 'epoch': 0.34} -{'loss': 0.4818, 'grad_norm': 1.381859540939331, 'learning_rate': 4.8390287769784174e-05, 'epoch': 0.34} -{'loss': 0.4901, 'grad_norm': 1.9830656051635742, 'learning_rate': 4.838129496402878e-05, 'epoch': 0.34} - 4%|████▌ | 200/5570 [03:12<1:13:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48604100942611694, 'eval_runtime': 1.532, 'eval_samples_per_second': 469.969, 'eval_steps_per_second': 3.916, 'epoch': 0.34} -{'loss': 0.4898, 'grad_norm': 1.6743468046188354, 'learning_rate': 4.837230215827339e-05, 'epoch': 0.34} -{'loss': 0.4996, 'grad_norm': 1.573815107345581, 'learning_rate': 4.8363309352517985e-05, 'epoch': 0.34} -{'loss': 0.4879, 'grad_norm': 2.54445743560791, 'learning_rate': 4.835431654676259e-05, 'epoch': 0.35} -{'loss': 0.4846, 'grad_norm': 1.9598674774169922, 'learning_rate': 4.83453237410072e-05, 'epoch': 0.35} -{'loss': 0.4783, 'grad_norm': 1.356838583946228, 'learning_rate': 4.83363309352518e-05, 'epoch': 0.35} -{'loss': 0.5072, 'grad_norm': 2.6374714374542236, 'learning_rate': 4.832733812949641e-05, 'epoch': 0.35} -{'loss': 0.4966, 'grad_norm': 2.8331940174102783, 'learning_rate': 4.831834532374101e-05, 'epoch': 0.35} -{'loss': 0.4998, 'grad_norm': 1.6333744525909424, 'learning_rate': 4.8309352517985615e-05, 'epoch': 0.36} -{'loss': 0.4943, 'grad_norm': 2.1461424827575684, 'learning_rate': 4.830035971223022e-05, 'epoch': 0.36} -{'loss': 0.4928, 'grad_norm': 1.9586669206619263, 'learning_rate': 4.829136690647482e-05, 'epoch': 0.36} - 4%|████▊ | 210/5570 [03:22<1:12:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48959699273109436, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.648, 'eval_steps_per_second': 3.905, 'epoch': 0.36} -{'loss': 0.4841, 'grad_norm': 1.9842969179153442, 'learning_rate': 4.828237410071943e-05, 'epoch': 0.36} -{'loss': 0.4833, 'grad_norm': 1.9810572862625122, 'learning_rate': 4.827338129496403e-05, 'epoch': 0.36} -{'loss': 0.4934, 'grad_norm': 0.9024287462234497, 'learning_rate': 4.8264388489208634e-05, 'epoch': 0.36} -{'loss': 0.503, 'grad_norm': 2.029845714569092, 'learning_rate': 4.8255395683453245e-05, 'epoch': 0.37} -{'loss': 0.4873, 'grad_norm': 1.8225622177124023, 'learning_rate': 4.824640287769784e-05, 'epoch': 0.37} -{'loss': 0.495, 'grad_norm': 1.760928988456726, 'learning_rate': 4.8237410071942446e-05, 'epoch': 0.37} -{'loss': 0.4964, 'grad_norm': 1.6558759212493896, 'learning_rate': 4.8228417266187057e-05, 'epoch': 0.37} -{'loss': 0.4916, 'grad_norm': 1.0595039129257202, 'learning_rate': 4.8219424460431654e-05, 'epoch': 0.37} -{'loss': 0.4813, 'grad_norm': 1.2897650003433228, 'learning_rate': 4.8210431654676264e-05, 'epoch': 0.38} -{'loss': 0.4774, 'grad_norm': 1.1502368450164795, 'learning_rate': 4.820143884892087e-05, 'epoch': 0.38} - 4%|████▉ | 220/5570 [03:31<1:13:25, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4822646379470825, 'eval_runtime': 1.5553, 'eval_samples_per_second': 462.929, 'eval_steps_per_second': 3.858, 'epoch': 0.38} -{'loss': 0.4957, 'grad_norm': 1.5010524988174438, 'learning_rate': 4.8192446043165465e-05, 'epoch': 0.38} -{'loss': 0.4852, 'grad_norm': 1.6768786907196045, 'learning_rate': 4.8183453237410076e-05, 'epoch': 0.38} -{'loss': 0.4937, 'grad_norm': 2.1017372608184814, 'learning_rate': 4.817446043165468e-05, 'epoch': 0.38} -{'loss': 0.4812, 'grad_norm': 1.6994398832321167, 'learning_rate': 4.8165467625899284e-05, 'epoch': 0.38} -{'loss': 0.5055, 'grad_norm': 1.8938311338424683, 'learning_rate': 4.815647482014389e-05, 'epoch': 0.39} -{'loss': 0.4872, 'grad_norm': 1.9706772565841675, 'learning_rate': 4.814748201438849e-05, 'epoch': 0.39} -{'loss': 0.4826, 'grad_norm': 1.0421544313430786, 'learning_rate': 4.8138489208633095e-05, 'epoch': 0.39} -{'loss': 0.4904, 'grad_norm': 1.8237239122390747, 'learning_rate': 4.81294964028777e-05, 'epoch': 0.39} -{'loss': 0.4909, 'grad_norm': 1.678033471107483, 'learning_rate': 4.81205035971223e-05, 'epoch': 0.39} -{'loss': 0.4791, 'grad_norm': 1.1324321031570435, 'learning_rate': 4.811151079136691e-05, 'epoch': 0.39} - 4%|█████▏ | 230/5570 [03:41<1:12:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4809054136276245, 'eval_runtime': 1.5228, 'eval_samples_per_second': 472.804, 'eval_steps_per_second': 3.94, 'epoch': 0.39} -{'loss': 0.4825, 'grad_norm': 2.0489838123321533, 'learning_rate': 4.810251798561151e-05, 'epoch': 0.4} -{'loss': 0.4866, 'grad_norm': 1.845095157623291, 'learning_rate': 4.809352517985612e-05, 'epoch': 0.4} -{'loss': 0.4818, 'grad_norm': 1.9986908435821533, 'learning_rate': 4.808453237410072e-05, 'epoch': 0.4} -{'loss': 0.4811, 'grad_norm': 2.566157102584839, 'learning_rate': 4.807553956834532e-05, 'epoch': 0.4} -{'loss': 0.4759, 'grad_norm': 1.3412772417068481, 'learning_rate': 4.806654676258993e-05, 'epoch': 0.4} -{'loss': 0.4833, 'grad_norm': 1.633046269416809, 'learning_rate': 4.8057553956834537e-05, 'epoch': 0.41} -{'loss': 0.4907, 'grad_norm': 1.468598484992981, 'learning_rate': 4.804856115107914e-05, 'epoch': 0.41} -{'loss': 0.4817, 'grad_norm': 1.2265554666519165, 'learning_rate': 4.8039568345323744e-05, 'epoch': 0.41} -{'loss': 0.4877, 'grad_norm': 1.9236011505126953, 'learning_rate': 4.803057553956835e-05, 'epoch': 0.41} -{'loss': 0.4885, 'grad_norm': 2.036402463912964, 'learning_rate': 4.802158273381295e-05, 'epoch': 0.41} - 4%|█████▍ | 240/5570 [03:51<1:12:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4776923358440399, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.008, 'eval_steps_per_second': 3.925, 'epoch': 0.41} -{'loss': 0.4745, 'grad_norm': 0.9296553730964661, 'learning_rate': 4.8012589928057556e-05, 'epoch': 0.41} -{'loss': 0.4862, 'grad_norm': 1.275270938873291, 'learning_rate': 4.800359712230216e-05, 'epoch': 0.42} -{'loss': 0.4916, 'grad_norm': 1.385216474533081, 'learning_rate': 4.7994604316546764e-05, 'epoch': 0.42} -{'loss': 0.4832, 'grad_norm': 2.29874587059021, 'learning_rate': 4.798561151079137e-05, 'epoch': 0.42} -{'loss': 0.475, 'grad_norm': 1.4179468154907227, 'learning_rate': 4.797661870503598e-05, 'epoch': 0.42} -{'loss': 0.4734, 'grad_norm': 2.2234249114990234, 'learning_rate': 4.7967625899280575e-05, 'epoch': 0.42} -{'loss': 0.4819, 'grad_norm': 2.1380176544189453, 'learning_rate': 4.7958633093525186e-05, 'epoch': 0.43} -{'loss': 0.4967, 'grad_norm': 1.592248558998108, 'learning_rate': 4.794964028776979e-05, 'epoch': 0.43} -{'loss': 0.4886, 'grad_norm': 2.4177262783050537, 'learning_rate': 4.794064748201439e-05, 'epoch': 0.43} -{'loss': 0.4879, 'grad_norm': 3.1025023460388184, 'learning_rate': 4.7931654676259e-05, 'epoch': 0.43} - 4%|█████▋ | 250/5570 [04:00<1:12:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48653531074523926, 'eval_runtime': 1.5272, 'eval_samples_per_second': 471.46, 'eval_steps_per_second': 3.929, 'epoch': 0.43} -{'loss': 0.4873, 'grad_norm': 2.856072425842285, 'learning_rate': 4.79226618705036e-05, 'epoch': 0.43} -{'loss': 0.4914, 'grad_norm': 2.323768138885498, 'learning_rate': 4.79136690647482e-05, 'epoch': 0.43} -{'loss': 0.4797, 'grad_norm': 1.4785327911376953, 'learning_rate': 4.790467625899281e-05, 'epoch': 0.44} -{'loss': 0.4942, 'grad_norm': 1.912619709968567, 'learning_rate': 4.789568345323741e-05, 'epoch': 0.44} -{'loss': 0.4957, 'grad_norm': 1.5797545909881592, 'learning_rate': 4.7886690647482017e-05, 'epoch': 0.44} -{'loss': 0.4798, 'grad_norm': 1.3195374011993408, 'learning_rate': 4.787769784172662e-05, 'epoch': 0.44} -{'loss': 0.4826, 'grad_norm': 1.7877261638641357, 'learning_rate': 4.7868705035971224e-05, 'epoch': 0.44} -{'loss': 0.4824, 'grad_norm': 1.700124979019165, 'learning_rate': 4.785971223021583e-05, 'epoch': 0.45} -{'loss': 0.484, 'grad_norm': 1.9649854898452759, 'learning_rate': 4.785071942446043e-05, 'epoch': 0.45} -{'loss': 0.4846, 'grad_norm': 1.1927788257598877, 'learning_rate': 4.784172661870504e-05, 'epoch': 0.45} - 5%|█████▉ | 260/5570 [04:10<1:12:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47779226303100586, 'eval_runtime': 1.5237, 'eval_samples_per_second': 472.533, 'eval_steps_per_second': 3.938, 'epoch': 0.45} -{'loss': 0.4746, 'grad_norm': 1.371498465538025, 'learning_rate': 4.783273381294964e-05, 'epoch': 0.45} -{'loss': 0.4772, 'grad_norm': 1.4524787664413452, 'learning_rate': 4.7823741007194244e-05, 'epoch': 0.45} -{'loss': 0.4744, 'grad_norm': 1.6771775484085083, 'learning_rate': 4.7814748201438854e-05, 'epoch': 0.45} -{'loss': 0.4697, 'grad_norm': 1.6196463108062744, 'learning_rate': 4.780575539568346e-05, 'epoch': 0.46} -{'loss': 0.4838, 'grad_norm': 1.111014723777771, 'learning_rate': 4.779676258992806e-05, 'epoch': 0.46} -{'loss': 0.4771, 'grad_norm': 1.0813947916030884, 'learning_rate': 4.7787769784172666e-05, 'epoch': 0.46} -{'loss': 0.4796, 'grad_norm': 1.9853171110153198, 'learning_rate': 4.777877697841727e-05, 'epoch': 0.46} -{'loss': 0.4849, 'grad_norm': 1.6404320001602173, 'learning_rate': 4.7769784172661873e-05, 'epoch': 0.46} -{'loss': 0.4941, 'grad_norm': 1.9334502220153809, 'learning_rate': 4.776079136690648e-05, 'epoch': 0.46} -{'loss': 0.4848, 'grad_norm': 2.217154026031494, 'learning_rate': 4.775179856115108e-05, 'epoch': 0.47} - 5%|██████ | 270/5570 [04:19<1:12:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4798843264579773, 'eval_runtime': 1.5084, 'eval_samples_per_second': 477.317, 'eval_steps_per_second': 3.978, 'epoch': 0.47} -{'loss': 0.494, 'grad_norm': 1.3985661268234253, 'learning_rate': 4.7742805755395685e-05, 'epoch': 0.47} -{'loss': 0.4816, 'grad_norm': 1.4085922241210938, 'learning_rate': 4.773381294964029e-05, 'epoch': 0.47} -{'loss': 0.4837, 'grad_norm': 2.521657943725586, 'learning_rate': 4.77248201438849e-05, 'epoch': 0.47} -{'loss': 0.4748, 'grad_norm': 1.731446385383606, 'learning_rate': 4.7715827338129497e-05, 'epoch': 0.47} -{'loss': 0.4933, 'grad_norm': 1.607567310333252, 'learning_rate': 4.77068345323741e-05, 'epoch': 0.48} -{'loss': 0.4848, 'grad_norm': 1.4013779163360596, 'learning_rate': 4.769784172661871e-05, 'epoch': 0.48} -{'loss': 0.4788, 'grad_norm': 0.967831015586853, 'learning_rate': 4.768884892086331e-05, 'epoch': 0.48} -{'loss': 0.4812, 'grad_norm': 1.1651479005813599, 'learning_rate': 4.767985611510792e-05, 'epoch': 0.48} -{'loss': 0.4791, 'grad_norm': 1.4031232595443726, 'learning_rate': 4.767086330935252e-05, 'epoch': 0.48} -{'loss': 0.4774, 'grad_norm': 1.2234450578689575, 'learning_rate': 4.766187050359712e-05, 'epoch': 0.48} - 5%|██████▎ | 280/5570 [04:29<1:12:02, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47544828057289124, 'eval_runtime': 1.5178, 'eval_samples_per_second': 474.378, 'eval_steps_per_second': 3.953, 'epoch': 0.48} -{'loss': 0.4772, 'grad_norm': 1.3903745412826538, 'learning_rate': 4.765287769784173e-05, 'epoch': 0.49} -{'loss': 0.491, 'grad_norm': 1.2482894659042358, 'learning_rate': 4.7643884892086334e-05, 'epoch': 0.49} -{'loss': 0.4776, 'grad_norm': 1.740149974822998, 'learning_rate': 4.763489208633094e-05, 'epoch': 0.49} -{'loss': 0.4708, 'grad_norm': 1.0540393590927124, 'learning_rate': 4.762589928057554e-05, 'epoch': 0.49} -{'loss': 0.4752, 'grad_norm': 1.930809736251831, 'learning_rate': 4.7616906474820146e-05, 'epoch': 0.49} -{'loss': 0.4949, 'grad_norm': 1.90688955783844, 'learning_rate': 4.760791366906475e-05, 'epoch': 0.5} -{'loss': 0.4824, 'grad_norm': 1.9646990299224854, 'learning_rate': 4.7598920863309353e-05, 'epoch': 0.5} -{'loss': 0.4806, 'grad_norm': 1.3645083904266357, 'learning_rate': 4.7589928057553964e-05, 'epoch': 0.5} -{'loss': 0.477, 'grad_norm': 1.1621623039245605, 'learning_rate': 4.758093525179856e-05, 'epoch': 0.5} -{'loss': 0.4842, 'grad_norm': 1.1729929447174072, 'learning_rate': 4.7571942446043165e-05, 'epoch': 0.5} - 5%|██████▌ | 290/5570 [04:38<1:12:12, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47318848967552185, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.031, 'eval_steps_per_second': 3.925, 'epoch': 0.5} -{'loss': 0.4743, 'grad_norm': 1.0910060405731201, 'learning_rate': 4.7562949640287776e-05, 'epoch': 0.5} -{'loss': 0.4603, 'grad_norm': 1.0951977968215942, 'learning_rate': 4.755395683453237e-05, 'epoch': 0.51} -{'loss': 0.4742, 'grad_norm': 1.1735366582870483, 'learning_rate': 4.7544964028776977e-05, 'epoch': 0.51} -{'loss': 0.4833, 'grad_norm': 1.617735743522644, 'learning_rate': 4.753597122302159e-05, 'epoch': 0.51} -{'loss': 0.4787, 'grad_norm': 1.7620214223861694, 'learning_rate': 4.752697841726619e-05, 'epoch': 0.51} -{'loss': 0.4907, 'grad_norm': 1.7081183195114136, 'learning_rate': 4.7517985611510795e-05, 'epoch': 0.51} -{'loss': 0.4709, 'grad_norm': 2.2335832118988037, 'learning_rate': 4.75089928057554e-05, 'epoch': 0.52} -{'loss': 0.466, 'grad_norm': 1.150127649307251, 'learning_rate': 4.75e-05, 'epoch': 0.52} -{'loss': 0.4811, 'grad_norm': 0.9592272043228149, 'learning_rate': 4.7491007194244606e-05, 'epoch': 0.52} -{'loss': 0.4856, 'grad_norm': 2.0803236961364746, 'learning_rate': 4.748201438848921e-05, 'epoch': 0.52} - 5%|██████▊ | 300/5570 [04:48<1:11:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4758801758289337, 'eval_runtime': 1.5251, 'eval_samples_per_second': 472.103, 'eval_steps_per_second': 3.934, 'epoch': 0.52} -{'loss': 0.4812, 'grad_norm': 1.581986904144287, 'learning_rate': 4.747302158273382e-05, 'epoch': 0.52} -{'loss': 0.4776, 'grad_norm': 1.6780457496643066, 'learning_rate': 4.746402877697842e-05, 'epoch': 0.52} -{'loss': 0.472, 'grad_norm': 1.7866283655166626, 'learning_rate': 4.745503597122302e-05, 'epoch': 0.53} -{'loss': 0.4857, 'grad_norm': 1.3196030855178833, 'learning_rate': 4.744604316546763e-05, 'epoch': 0.53} -{'loss': 0.4601, 'grad_norm': 1.5787022113800049, 'learning_rate': 4.743705035971223e-05, 'epoch': 0.53} -{'loss': 0.4783, 'grad_norm': 1.6497154235839844, 'learning_rate': 4.742805755395684e-05, 'epoch': 0.53} -{'loss': 0.4866, 'grad_norm': 1.062864899635315, 'learning_rate': 4.7419064748201444e-05, 'epoch': 0.53} -{'loss': 0.4868, 'grad_norm': 2.476776123046875, 'learning_rate': 4.741007194244604e-05, 'epoch': 0.54} -{'loss': 0.4837, 'grad_norm': 3.1501715183258057, 'learning_rate': 4.740107913669065e-05, 'epoch': 0.54} -{'loss': 0.4675, 'grad_norm': 1.162322759628296, 'learning_rate': 4.7392086330935256e-05, 'epoch': 0.54} - 6%|███████ | 310/5570 [04:57<1:11:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48039665818214417, 'eval_runtime': 1.5512, 'eval_samples_per_second': 464.152, 'eval_steps_per_second': 3.868, 'epoch': 0.54} -{'loss': 0.4831, 'grad_norm': 2.5740697383880615, 'learning_rate': 4.738309352517985e-05, 'epoch': 0.54} -{'loss': 0.4848, 'grad_norm': 2.625065326690674, 'learning_rate': 4.737410071942446e-05, 'epoch': 0.54} -{'loss': 0.4751, 'grad_norm': 0.9658581614494324, 'learning_rate': 4.736510791366907e-05, 'epoch': 0.54} -{'loss': 0.4781, 'grad_norm': 2.151869058609009, 'learning_rate': 4.735611510791367e-05, 'epoch': 0.55} -{'loss': 0.4777, 'grad_norm': 2.570610284805298, 'learning_rate': 4.7347122302158275e-05, 'epoch': 0.55} -{'loss': 0.4776, 'grad_norm': 1.518496036529541, 'learning_rate': 4.733812949640288e-05, 'epoch': 0.55} -{'loss': 0.4746, 'grad_norm': 1.4852548837661743, 'learning_rate': 4.732913669064748e-05, 'epoch': 0.55} -{'loss': 0.4784, 'grad_norm': 2.328577995300293, 'learning_rate': 4.7320143884892086e-05, 'epoch': 0.55} -{'loss': 0.4817, 'grad_norm': 1.432055950164795, 'learning_rate': 4.73111510791367e-05, 'epoch': 0.55} -{'loss': 0.4945, 'grad_norm': 2.0107316970825195, 'learning_rate': 4.7302158273381294e-05, 'epoch': 0.56} - 6%|███████▏ | 320/5570 [05:07<1:11:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47891125082969666, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.365, 'eval_steps_per_second': 3.92, 'epoch': 0.56} -{'loss': 0.4809, 'grad_norm': 2.3673484325408936, 'learning_rate': 4.72931654676259e-05, 'epoch': 0.56} -{'loss': 0.4865, 'grad_norm': 2.6188814640045166, 'learning_rate': 4.728417266187051e-05, 'epoch': 0.56} -{'loss': 0.4748, 'grad_norm': 2.0600554943084717, 'learning_rate': 4.727517985611511e-05, 'epoch': 0.56} -{'loss': 0.4797, 'grad_norm': 1.8076879978179932, 'learning_rate': 4.7266187050359716e-05, 'epoch': 0.56} -{'loss': 0.4861, 'grad_norm': 1.772766351699829, 'learning_rate': 4.725719424460432e-05, 'epoch': 0.57} -{'loss': 0.4868, 'grad_norm': 2.461801767349243, 'learning_rate': 4.7248201438848924e-05, 'epoch': 0.57} -{'loss': 0.4837, 'grad_norm': 1.213110089302063, 'learning_rate': 4.723920863309353e-05, 'epoch': 0.57} -{'loss': 0.4714, 'grad_norm': 1.1884770393371582, 'learning_rate': 4.723021582733813e-05, 'epoch': 0.57} -{'loss': 0.4706, 'grad_norm': 2.0884017944335938, 'learning_rate': 4.7221223021582736e-05, 'epoch': 0.57} -{'loss': 0.4694, 'grad_norm': 0.7989839315414429, 'learning_rate': 4.721223021582734e-05, 'epoch': 0.57} - 6%|███████▍ | 330/5570 [05:17<1:11:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47371071577072144, 'eval_runtime': 1.5371, 'eval_samples_per_second': 468.422, 'eval_steps_per_second': 3.904, 'epoch': 0.57} -{'loss': 0.4672, 'grad_norm': 1.7082406282424927, 'learning_rate': 4.720323741007194e-05, 'epoch': 0.58} -{'loss': 0.4891, 'grad_norm': 1.3368788957595825, 'learning_rate': 4.7194244604316554e-05, 'epoch': 0.58} -{'loss': 0.4879, 'grad_norm': 1.5166385173797607, 'learning_rate': 4.718525179856115e-05, 'epoch': 0.58} -{'loss': 0.4698, 'grad_norm': 1.0874561071395874, 'learning_rate': 4.7176258992805755e-05, 'epoch': 0.58} -{'loss': 0.4913, 'grad_norm': 1.0408860445022583, 'learning_rate': 4.7167266187050366e-05, 'epoch': 0.58} -{'loss': 0.48, 'grad_norm': 1.12435781955719, 'learning_rate': 4.715827338129496e-05, 'epoch': 0.59} -{'loss': 0.4683, 'grad_norm': 0.881580650806427, 'learning_rate': 4.714928057553957e-05, 'epoch': 0.59} -{'loss': 0.4761, 'grad_norm': 1.5294145345687866, 'learning_rate': 4.714028776978418e-05, 'epoch': 0.59} -{'loss': 0.473, 'grad_norm': 1.9692745208740234, 'learning_rate': 4.7131294964028774e-05, 'epoch': 0.59} -{'loss': 0.474, 'grad_norm': 1.3541855812072754, 'learning_rate': 4.7122302158273385e-05, 'epoch': 0.59} - 6%|███████▋ | 340/5570 [05:26<1:10:31, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47426867485046387, 'eval_runtime': 1.5204, 'eval_samples_per_second': 473.549, 'eval_steps_per_second': 3.946, 'epoch': 0.59} -{'loss': 0.4805, 'grad_norm': 1.8816149234771729, 'learning_rate': 4.711330935251799e-05, 'epoch': 0.59} -{'loss': 0.4871, 'grad_norm': 1.6322147846221924, 'learning_rate': 4.710431654676259e-05, 'epoch': 0.6} -{'loss': 0.4789, 'grad_norm': 2.257887601852417, 'learning_rate': 4.7095323741007196e-05, 'epoch': 0.6} -{'loss': 0.4903, 'grad_norm': 2.413295030593872, 'learning_rate': 4.70863309352518e-05, 'epoch': 0.6} -{'loss': 0.4847, 'grad_norm': 2.1598472595214844, 'learning_rate': 4.7077338129496404e-05, 'epoch': 0.6} -{'loss': 0.4757, 'grad_norm': 1.7801555395126343, 'learning_rate': 4.706834532374101e-05, 'epoch': 0.6} -{'loss': 0.478, 'grad_norm': 1.4680768251419067, 'learning_rate': 4.705935251798562e-05, 'epoch': 0.61} -{'loss': 0.4668, 'grad_norm': 1.7927480936050415, 'learning_rate': 4.7050359712230216e-05, 'epoch': 0.61} -{'loss': 0.478, 'grad_norm': 0.8273836970329285, 'learning_rate': 4.704136690647482e-05, 'epoch': 0.61} -{'loss': 0.4789, 'grad_norm': 1.5692710876464844, 'learning_rate': 4.703237410071943e-05, 'epoch': 0.61} - 6%|███████▉ | 350/5570 [05:36<1:11:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.468797892332077, 'eval_runtime': 1.5356, 'eval_samples_per_second': 468.883, 'eval_steps_per_second': 3.907, 'epoch': 0.61} -{'loss': 0.4688, 'grad_norm': 1.0269091129302979, 'learning_rate': 4.7023381294964034e-05, 'epoch': 0.61} -{'loss': 0.4823, 'grad_norm': 2.0701117515563965, 'learning_rate': 4.701438848920863e-05, 'epoch': 0.61} -{'loss': 0.4756, 'grad_norm': 1.7099050283432007, 'learning_rate': 4.700539568345324e-05, 'epoch': 0.62} -{'loss': 0.4767, 'grad_norm': 1.9434274435043335, 'learning_rate': 4.6996402877697846e-05, 'epoch': 0.62} -{'loss': 0.4618, 'grad_norm': 1.7129268646240234, 'learning_rate': 4.698741007194245e-05, 'epoch': 0.62} -{'loss': 0.4722, 'grad_norm': 1.3957158327102661, 'learning_rate': 4.697841726618705e-05, 'epoch': 0.62} -{'loss': 0.4751, 'grad_norm': 2.017531156539917, 'learning_rate': 4.696942446043166e-05, 'epoch': 0.62} -{'loss': 0.4762, 'grad_norm': 1.8165606260299683, 'learning_rate': 4.696043165467626e-05, 'epoch': 0.62} -{'loss': 0.4888, 'grad_norm': 1.8161152601242065, 'learning_rate': 4.6951438848920865e-05, 'epoch': 0.63} -{'loss': 0.4884, 'grad_norm': 1.7975823879241943, 'learning_rate': 4.6942446043165475e-05, 'epoch': 0.63} - 6%|████████▏ | 360/5570 [05:45<1:10:08, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4698047935962677, 'eval_runtime': 1.5214, 'eval_samples_per_second': 473.252, 'eval_steps_per_second': 3.944, 'epoch': 0.63} -{'loss': 0.4743, 'grad_norm': 1.4167863130569458, 'learning_rate': 4.693345323741007e-05, 'epoch': 0.63} -{'loss': 0.4628, 'grad_norm': 1.3434195518493652, 'learning_rate': 4.6924460431654676e-05, 'epoch': 0.63} -{'loss': 0.4673, 'grad_norm': 1.2012759447097778, 'learning_rate': 4.691546762589929e-05, 'epoch': 0.63} -{'loss': 0.4675, 'grad_norm': 1.622629165649414, 'learning_rate': 4.6906474820143884e-05, 'epoch': 0.64} -{'loss': 0.4756, 'grad_norm': 1.1197961568832397, 'learning_rate': 4.6897482014388495e-05, 'epoch': 0.64} -{'loss': 0.4749, 'grad_norm': 1.1057119369506836, 'learning_rate': 4.68884892086331e-05, 'epoch': 0.64} -{'loss': 0.4692, 'grad_norm': 1.4490463733673096, 'learning_rate': 4.6879496402877696e-05, 'epoch': 0.64} -{'loss': 0.4737, 'grad_norm': 1.8423024415969849, 'learning_rate': 4.6870503597122306e-05, 'epoch': 0.64} -{'loss': 0.4731, 'grad_norm': 1.3241995573043823, 'learning_rate': 4.686151079136691e-05, 'epoch': 0.64} -{'loss': 0.4719, 'grad_norm': 2.0995993614196777, 'learning_rate': 4.685251798561151e-05, 'epoch': 0.65} - 7%|████████▎ | 370/5570 [05:55<1:10:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46723484992980957, 'eval_runtime': 1.5194, 'eval_samples_per_second': 473.859, 'eval_steps_per_second': 3.949, 'epoch': 0.65} -{'loss': 0.4769, 'grad_norm': 1.1483503580093384, 'learning_rate': 4.684352517985612e-05, 'epoch': 0.65} -{'loss': 0.4754, 'grad_norm': 1.5160518884658813, 'learning_rate': 4.683453237410072e-05, 'epoch': 0.65} -{'loss': 0.4702, 'grad_norm': 1.3051680326461792, 'learning_rate': 4.6825539568345326e-05, 'epoch': 0.65} -{'loss': 0.475, 'grad_norm': 1.677201271057129, 'learning_rate': 4.681654676258993e-05, 'epoch': 0.65} -{'loss': 0.4779, 'grad_norm': 1.238762617111206, 'learning_rate': 4.680755395683453e-05, 'epoch': 0.66} -{'loss': 0.4713, 'grad_norm': 0.7993459105491638, 'learning_rate': 4.679856115107914e-05, 'epoch': 0.66} -{'loss': 0.4687, 'grad_norm': 1.6668611764907837, 'learning_rate': 4.678956834532374e-05, 'epoch': 0.66} -{'loss': 0.4683, 'grad_norm': 1.4819263219833374, 'learning_rate': 4.678057553956835e-05, 'epoch': 0.66} -{'loss': 0.4718, 'grad_norm': 1.536331295967102, 'learning_rate': 4.677158273381295e-05, 'epoch': 0.66} -{'loss': 0.4734, 'grad_norm': 1.248815655708313, 'learning_rate': 4.676258992805755e-05, 'epoch': 0.66} - 7%|████████▌ | 380/5570 [06:04<1:10:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46836429834365845, 'eval_runtime': 1.5048, 'eval_samples_per_second': 478.47, 'eval_steps_per_second': 3.987, 'epoch': 0.66} -{'loss': 0.4803, 'grad_norm': 1.5302149057388306, 'learning_rate': 4.675359712230216e-05, 'epoch': 0.67} -{'loss': 0.4748, 'grad_norm': 1.1832537651062012, 'learning_rate': 4.674460431654677e-05, 'epoch': 0.67} -{'loss': 0.4745, 'grad_norm': 1.1164454221725464, 'learning_rate': 4.673561151079137e-05, 'epoch': 0.67} -{'loss': 0.4703, 'grad_norm': 1.6417526006698608, 'learning_rate': 4.6726618705035975e-05, 'epoch': 0.67} -{'loss': 0.4835, 'grad_norm': 1.4493883848190308, 'learning_rate': 4.671762589928058e-05, 'epoch': 0.67} -{'loss': 0.4923, 'grad_norm': 1.2439029216766357, 'learning_rate': 4.670863309352518e-05, 'epoch': 0.68} -{'loss': 0.469, 'grad_norm': 1.2890472412109375, 'learning_rate': 4.6699640287769786e-05, 'epoch': 0.68} -{'loss': 0.482, 'grad_norm': 1.3095980882644653, 'learning_rate': 4.669064748201439e-05, 'epoch': 0.68} -{'loss': 0.4591, 'grad_norm': 0.8427438735961914, 'learning_rate': 4.6681654676258994e-05, 'epoch': 0.68} -{'loss': 0.4853, 'grad_norm': 1.3607765436172485, 'learning_rate': 4.66726618705036e-05, 'epoch': 0.68} - 7%|████████▊ | 390/5570 [06:14<1:10:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46931344270706177, 'eval_runtime': 1.5352, 'eval_samples_per_second': 468.982, 'eval_steps_per_second': 3.908, 'epoch': 0.68} -{'loss': 0.4762, 'grad_norm': 1.451175570487976, 'learning_rate': 4.666366906474821e-05, 'epoch': 0.68} -{'loss': 0.4742, 'grad_norm': 1.7397496700286865, 'learning_rate': 4.6654676258992806e-05, 'epoch': 0.69} -{'loss': 0.4813, 'grad_norm': 1.6162189245224, 'learning_rate': 4.664568345323741e-05, 'epoch': 0.69} -{'loss': 0.4691, 'grad_norm': 1.9480773210525513, 'learning_rate': 4.663669064748202e-05, 'epoch': 0.69} -{'loss': 0.4775, 'grad_norm': 1.258824110031128, 'learning_rate': 4.662769784172662e-05, 'epoch': 0.69} -{'loss': 0.4727, 'grad_norm': 1.4741196632385254, 'learning_rate': 4.661870503597123e-05, 'epoch': 0.69} -{'loss': 0.4733, 'grad_norm': 2.00315260887146, 'learning_rate': 4.660971223021583e-05, 'epoch': 0.69} -{'loss': 0.467, 'grad_norm': 1.780072808265686, 'learning_rate': 4.660071942446043e-05, 'epoch': 0.7} -{'loss': 0.4804, 'grad_norm': 1.113429307937622, 'learning_rate': 4.659172661870504e-05, 'epoch': 0.7} -{'loss': 0.4826, 'grad_norm': 2.1652562618255615, 'learning_rate': 4.658273381294964e-05, 'epoch': 0.7} - 7%|█████████ | 400/5570 [06:23<1:09:39, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4700433015823364, 'eval_runtime': 1.5242, 'eval_samples_per_second': 472.371, 'eval_steps_per_second': 3.936, 'epoch': 0.7} -{'loss': 0.4709, 'grad_norm': 1.0850173234939575, 'learning_rate': 4.657374100719425e-05, 'epoch': 0.7} -{'loss': 0.4725, 'grad_norm': 1.417874813079834, 'learning_rate': 4.656474820143885e-05, 'epoch': 0.7} -{'loss': 0.4844, 'grad_norm': 1.244234323501587, 'learning_rate': 4.6555755395683455e-05, 'epoch': 0.71} -{'loss': 0.4759, 'grad_norm': 1.3426209688186646, 'learning_rate': 4.654676258992806e-05, 'epoch': 0.71} -{'loss': 0.4726, 'grad_norm': 1.2247473001480103, 'learning_rate': 4.653776978417266e-05, 'epoch': 0.71} -{'loss': 0.4617, 'grad_norm': 1.7000846862792969, 'learning_rate': 4.652877697841727e-05, 'epoch': 0.71} -{'loss': 0.4691, 'grad_norm': 1.7086728811264038, 'learning_rate': 4.651978417266187e-05, 'epoch': 0.71} -{'loss': 0.4829, 'grad_norm': 2.544288396835327, 'learning_rate': 4.6510791366906474e-05, 'epoch': 0.71} -{'loss': 0.4759, 'grad_norm': 1.5415760278701782, 'learning_rate': 4.6501798561151085e-05, 'epoch': 0.72} -{'loss': 0.4778, 'grad_norm': 1.3958256244659424, 'learning_rate': 4.649280575539569e-05, 'epoch': 0.72} - 7%|█████████▎ | 410/5570 [06:33<1:09:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4649660885334015, 'eval_runtime': 1.5265, 'eval_samples_per_second': 471.666, 'eval_steps_per_second': 3.931, 'epoch': 0.72} -{'loss': 0.4693, 'grad_norm': 1.5394678115844727, 'learning_rate': 4.6483812949640286e-05, 'epoch': 0.72} -{'loss': 0.4712, 'grad_norm': 1.4977551698684692, 'learning_rate': 4.6474820143884896e-05, 'epoch': 0.72} -{'loss': 0.4742, 'grad_norm': 2.264784097671509, 'learning_rate': 4.64658273381295e-05, 'epoch': 0.72} -{'loss': 0.4749, 'grad_norm': 1.0174866914749146, 'learning_rate': 4.6456834532374104e-05, 'epoch': 0.73} -{'loss': 0.4729, 'grad_norm': 1.7705879211425781, 'learning_rate': 4.644784172661871e-05, 'epoch': 0.73} -{'loss': 0.4753, 'grad_norm': 1.7658121585845947, 'learning_rate': 4.643884892086331e-05, 'epoch': 0.73} -{'loss': 0.4669, 'grad_norm': 1.9819400310516357, 'learning_rate': 4.6429856115107915e-05, 'epoch': 0.73} -{'loss': 0.476, 'grad_norm': 2.207385540008545, 'learning_rate': 4.642086330935252e-05, 'epoch': 0.73} -{'loss': 0.473, 'grad_norm': 1.47553288936615, 'learning_rate': 4.641187050359713e-05, 'epoch': 0.73} -{'loss': 0.4704, 'grad_norm': 1.9560879468917847, 'learning_rate': 4.640287769784173e-05, 'epoch': 0.74} - 8%|█████████▌ | 420/5570 [06:42<1:09:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46632301807403564, 'eval_runtime': 1.526, 'eval_samples_per_second': 471.826, 'eval_steps_per_second': 3.932, 'epoch': 0.74} -{'loss': 0.4783, 'grad_norm': 1.8839638233184814, 'learning_rate': 4.639388489208633e-05, 'epoch': 0.74} -{'loss': 0.4629, 'grad_norm': 2.219805955886841, 'learning_rate': 4.638489208633094e-05, 'epoch': 0.74} -{'loss': 0.4673, 'grad_norm': 1.60038161277771, 'learning_rate': 4.637589928057554e-05, 'epoch': 0.74} -{'loss': 0.4729, 'grad_norm': 1.78328275680542, 'learning_rate': 4.636690647482015e-05, 'epoch': 0.74} -{'loss': 0.4644, 'grad_norm': 1.8237327337265015, 'learning_rate': 4.635791366906475e-05, 'epoch': 0.75} -{'loss': 0.4694, 'grad_norm': 1.916335105895996, 'learning_rate': 4.634892086330935e-05, 'epoch': 0.75} -{'loss': 0.4598, 'grad_norm': 2.628830909729004, 'learning_rate': 4.633992805755396e-05, 'epoch': 0.75} -{'loss': 0.4616, 'grad_norm': 2.3606209754943848, 'learning_rate': 4.6330935251798565e-05, 'epoch': 0.75} -{'loss': 0.4736, 'grad_norm': 1.6423676013946533, 'learning_rate': 4.632194244604316e-05, 'epoch': 0.75} -{'loss': 0.4669, 'grad_norm': 2.0530314445495605, 'learning_rate': 4.631294964028777e-05, 'epoch': 0.75} - 8%|█████████▋ | 430/5570 [06:52<1:08:46, 1.25it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4722151756286621, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.304, 'eval_steps_per_second': 3.936, 'epoch': 0.75} -{'loss': 0.4731, 'grad_norm': 2.5789287090301514, 'learning_rate': 4.6303956834532376e-05, 'epoch': 0.76} -{'loss': 0.4756, 'grad_norm': 1.4163528680801392, 'learning_rate': 4.629496402877698e-05, 'epoch': 0.76} -{'loss': 0.4653, 'grad_norm': 1.4805048704147339, 'learning_rate': 4.6285971223021584e-05, 'epoch': 0.76} -{'loss': 0.4684, 'grad_norm': 1.1344558000564575, 'learning_rate': 4.627697841726619e-05, 'epoch': 0.76} -{'loss': 0.4588, 'grad_norm': 1.2702889442443848, 'learning_rate': 4.626798561151079e-05, 'epoch': 0.76} -{'loss': 0.4655, 'grad_norm': 1.71953284740448, 'learning_rate': 4.6258992805755395e-05, 'epoch': 0.76} -{'loss': 0.4644, 'grad_norm': 0.9122023582458496, 'learning_rate': 4.6250000000000006e-05, 'epoch': 0.77} -{'loss': 0.4595, 'grad_norm': 1.0722590684890747, 'learning_rate': 4.624100719424461e-05, 'epoch': 0.77} -{'loss': 0.4702, 'grad_norm': 1.31692636013031, 'learning_rate': 4.623201438848921e-05, 'epoch': 0.77} -{'loss': 0.4709, 'grad_norm': 2.0698800086975098, 'learning_rate': 4.622302158273382e-05, 'epoch': 0.77} - 8%|█████████▉ | 440/5570 [07:01<1:09:10, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.464338093996048, 'eval_runtime': 1.5389, 'eval_samples_per_second': 467.86, 'eval_steps_per_second': 3.899, 'epoch': 0.77} -{'loss': 0.4761, 'grad_norm': 1.4573339223861694, 'learning_rate': 4.621402877697842e-05, 'epoch': 0.77} -{'loss': 0.4715, 'grad_norm': 1.7181520462036133, 'learning_rate': 4.6205035971223025e-05, 'epoch': 0.78} -{'loss': 0.4742, 'grad_norm': 1.915257215499878, 'learning_rate': 4.619604316546763e-05, 'epoch': 0.78} -{'loss': 0.4743, 'grad_norm': 1.7571512460708618, 'learning_rate': 4.618705035971223e-05, 'epoch': 0.78} -{'loss': 0.4758, 'grad_norm': 1.7723816633224487, 'learning_rate': 4.617805755395684e-05, 'epoch': 0.78} -{'loss': 0.4575, 'grad_norm': 2.32489275932312, 'learning_rate': 4.616906474820144e-05, 'epoch': 0.78} -{'loss': 0.4676, 'grad_norm': 1.6731600761413574, 'learning_rate': 4.6160071942446045e-05, 'epoch': 0.78} -{'loss': 0.4805, 'grad_norm': 4.035024642944336, 'learning_rate': 4.615107913669065e-05, 'epoch': 0.79} -{'loss': 0.477, 'grad_norm': 2.694051742553711, 'learning_rate': 4.614208633093525e-05, 'epoch': 0.79} -{'loss': 0.4792, 'grad_norm': 2.5797207355499268, 'learning_rate': 4.613309352517986e-05, 'epoch': 0.79} - 8%|██████████▏ | 450/5570 [07:11<1:09:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4710555672645569, 'eval_runtime': 1.5179, 'eval_samples_per_second': 474.326, 'eval_steps_per_second': 3.953, 'epoch': 0.79} -{'loss': 0.4805, 'grad_norm': 2.608027696609497, 'learning_rate': 4.612410071942446e-05, 'epoch': 0.79} -{'loss': 0.4824, 'grad_norm': 2.7943756580352783, 'learning_rate': 4.6115107913669064e-05, 'epoch': 0.79} -{'loss': 0.4639, 'grad_norm': 1.0093294382095337, 'learning_rate': 4.6106115107913675e-05, 'epoch': 0.8} -{'loss': 0.467, 'grad_norm': 1.7311784029006958, 'learning_rate': 4.609712230215827e-05, 'epoch': 0.8} -{'loss': 0.4655, 'grad_norm': 0.8893518447875977, 'learning_rate': 4.608812949640288e-05, 'epoch': 0.8} -{'loss': 0.4617, 'grad_norm': 1.8124029636383057, 'learning_rate': 4.6079136690647486e-05, 'epoch': 0.8} -{'loss': 0.4561, 'grad_norm': 1.1016712188720703, 'learning_rate': 4.607014388489208e-05, 'epoch': 0.8} -{'loss': 0.4743, 'grad_norm': 1.0241411924362183, 'learning_rate': 4.6061151079136694e-05, 'epoch': 0.8} -{'loss': 0.4609, 'grad_norm': 1.846341609954834, 'learning_rate': 4.60521582733813e-05, 'epoch': 0.81} -{'loss': 0.4559, 'grad_norm': 0.9819323420524597, 'learning_rate': 4.60431654676259e-05, 'epoch': 0.81} - 8%|██████████▍ | 460/5570 [07:20<1:09:36, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46162715554237366, 'eval_runtime': 1.5192, 'eval_samples_per_second': 473.947, 'eval_steps_per_second': 3.95, 'epoch': 0.81} -{'loss': 0.4736, 'grad_norm': 0.986962616443634, 'learning_rate': 4.6034172661870505e-05, 'epoch': 0.81} -{'loss': 0.4792, 'grad_norm': 1.1883842945098877, 'learning_rate': 4.602517985611511e-05, 'epoch': 0.81} -{'loss': 0.471, 'grad_norm': 1.2934856414794922, 'learning_rate': 4.601618705035971e-05, 'epoch': 0.81} -{'loss': 0.4696, 'grad_norm': 1.6658673286437988, 'learning_rate': 4.600719424460432e-05, 'epoch': 0.82} -{'loss': 0.4672, 'grad_norm': 1.1503177881240845, 'learning_rate': 4.599820143884893e-05, 'epoch': 0.82} -{'loss': 0.4689, 'grad_norm': 1.7335389852523804, 'learning_rate': 4.5989208633093525e-05, 'epoch': 0.82} -{'loss': 0.468, 'grad_norm': 1.7826762199401855, 'learning_rate': 4.598021582733813e-05, 'epoch': 0.82} -{'loss': 0.4632, 'grad_norm': 2.577526092529297, 'learning_rate': 4.597122302158274e-05, 'epoch': 0.82} -{'loss': 0.4726, 'grad_norm': 1.652806282043457, 'learning_rate': 4.596223021582734e-05, 'epoch': 0.82} -{'loss': 0.4772, 'grad_norm': 2.2204055786132812, 'learning_rate': 4.595323741007194e-05, 'epoch': 0.83} - 8%|██████████▋ | 470/5570 [07:30<1:09:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4640832543373108, 'eval_runtime': 1.5548, 'eval_samples_per_second': 463.086, 'eval_steps_per_second': 3.859, 'epoch': 0.83} -{'loss': 0.4668, 'grad_norm': 1.9183440208435059, 'learning_rate': 4.594424460431655e-05, 'epoch': 0.83} -{'loss': 0.4626, 'grad_norm': 1.623233437538147, 'learning_rate': 4.5935251798561155e-05, 'epoch': 0.83} -{'loss': 0.471, 'grad_norm': 2.200000047683716, 'learning_rate': 4.592625899280576e-05, 'epoch': 0.83} -{'loss': 0.4753, 'grad_norm': 1.8099175691604614, 'learning_rate': 4.591726618705036e-05, 'epoch': 0.83} -{'loss': 0.4712, 'grad_norm': 1.8352794647216797, 'learning_rate': 4.5908273381294966e-05, 'epoch': 0.83} -{'loss': 0.4712, 'grad_norm': 2.4013261795043945, 'learning_rate': 4.589928057553957e-05, 'epoch': 0.84} -{'loss': 0.4616, 'grad_norm': 1.1463525295257568, 'learning_rate': 4.5890287769784174e-05, 'epoch': 0.84} -{'loss': 0.4592, 'grad_norm': 2.120194911956787, 'learning_rate': 4.5881294964028784e-05, 'epoch': 0.84} -{'loss': 0.4669, 'grad_norm': 2.049288272857666, 'learning_rate': 4.587230215827338e-05, 'epoch': 0.84} -{'loss': 0.4675, 'grad_norm': 1.4267324209213257, 'learning_rate': 4.5863309352517985e-05, 'epoch': 0.84} - 9%|██████████▊ | 480/5570 [07:39<1:08:29, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46265825629234314, 'eval_runtime': 1.5217, 'eval_samples_per_second': 473.152, 'eval_steps_per_second': 3.943, 'epoch': 0.84} -{'loss': 0.4704, 'grad_norm': 1.980651617050171, 'learning_rate': 4.5854316546762596e-05, 'epoch': 0.85} -{'loss': 0.4551, 'grad_norm': 1.286088228225708, 'learning_rate': 4.584532374100719e-05, 'epoch': 0.85} -{'loss': 0.4653, 'grad_norm': 2.350935697555542, 'learning_rate': 4.5836330935251804e-05, 'epoch': 0.85} -{'loss': 0.4772, 'grad_norm': 3.2771711349487305, 'learning_rate': 4.582733812949641e-05, 'epoch': 0.85} -{'loss': 0.4695, 'grad_norm': 1.232651948928833, 'learning_rate': 4.5818345323741005e-05, 'epoch': 0.85} -{'loss': 0.4747, 'grad_norm': 1.6354002952575684, 'learning_rate': 4.5809352517985615e-05, 'epoch': 0.85} -{'loss': 0.4597, 'grad_norm': 1.2769887447357178, 'learning_rate': 4.580035971223022e-05, 'epoch': 0.86} -{'loss': 0.4651, 'grad_norm': 1.635085105895996, 'learning_rate': 4.579136690647482e-05, 'epoch': 0.86} -{'loss': 0.4673, 'grad_norm': 1.8631181716918945, 'learning_rate': 4.578237410071943e-05, 'epoch': 0.86} -{'loss': 0.4656, 'grad_norm': 1.7534143924713135, 'learning_rate': 4.577338129496403e-05, 'epoch': 0.86} - 9%|███████████ | 490/5570 [07:49<1:08:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46289798617362976, 'eval_runtime': 1.5229, 'eval_samples_per_second': 472.792, 'eval_steps_per_second': 3.94, 'epoch': 0.86} -{'loss': 0.4781, 'grad_norm': 1.4778002500534058, 'learning_rate': 4.5764388489208635e-05, 'epoch': 0.86} -{'loss': 0.4677, 'grad_norm': 1.9907004833221436, 'learning_rate': 4.575539568345324e-05, 'epoch': 0.87} -{'loss': 0.4637, 'grad_norm': 1.7394421100616455, 'learning_rate': 4.574640287769784e-05, 'epoch': 0.87} -{'loss': 0.4593, 'grad_norm': 1.8721572160720825, 'learning_rate': 4.5737410071942446e-05, 'epoch': 0.87} -{'loss': 0.4554, 'grad_norm': 1.5701457262039185, 'learning_rate': 4.572841726618705e-05, 'epoch': 0.87} -{'loss': 0.4653, 'grad_norm': 1.5390119552612305, 'learning_rate': 4.571942446043166e-05, 'epoch': 0.87} -{'loss': 0.465, 'grad_norm': 1.7031476497650146, 'learning_rate': 4.5710431654676264e-05, 'epoch': 0.87} -{'loss': 0.4676, 'grad_norm': 1.4534307718276978, 'learning_rate': 4.570143884892086e-05, 'epoch': 0.88} -{'loss': 0.4643, 'grad_norm': 1.2673258781433105, 'learning_rate': 4.569244604316547e-05, 'epoch': 0.88} -{'loss': 0.4755, 'grad_norm': 1.3264094591140747, 'learning_rate': 4.5683453237410076e-05, 'epoch': 0.88} - 9%|███████████▎ | 500/5570 [07:59<1:14:47, 1.13it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46487540006637573, 'eval_runtime': 1.551, 'eval_samples_per_second': 464.211, 'eval_steps_per_second': 3.868, 'epoch': 0.88} -{'loss': 0.4515, 'grad_norm': 2.014702558517456, 'learning_rate': 4.567446043165468e-05, 'epoch': 0.88} -{'loss': 0.4643, 'grad_norm': 1.6305843591690063, 'learning_rate': 4.5665467625899284e-05, 'epoch': 0.88} -{'loss': 0.4598, 'grad_norm': 1.9068796634674072, 'learning_rate': 4.565647482014389e-05, 'epoch': 0.89} -{'loss': 0.4601, 'grad_norm': 1.7412524223327637, 'learning_rate': 4.564748201438849e-05, 'epoch': 0.89} -{'loss': 0.4693, 'grad_norm': 1.8012523651123047, 'learning_rate': 4.5638489208633095e-05, 'epoch': 0.89} -{'loss': 0.4609, 'grad_norm': 2.214263439178467, 'learning_rate': 4.5629496402877706e-05, 'epoch': 0.89} -{'loss': 0.4629, 'grad_norm': 1.3570326566696167, 'learning_rate': 4.56205035971223e-05, 'epoch': 0.89} -{'loss': 0.4693, 'grad_norm': 3.7032766342163086, 'learning_rate': 4.561151079136691e-05, 'epoch': 0.89} -{'loss': 0.4677, 'grad_norm': 1.7109318971633911, 'learning_rate': 4.560251798561152e-05, 'epoch': 0.9} -{'loss': 0.4739, 'grad_norm': 2.038792848587036, 'learning_rate': 4.5593525179856115e-05, 'epoch': 0.9} - 9%|███████████▌ | 510/5570 [08:08<1:08:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4641752541065216, 'eval_runtime': 1.5179, 'eval_samples_per_second': 474.33, 'eval_steps_per_second': 3.953, 'epoch': 0.9} -{'loss': 0.4613, 'grad_norm': 2.7318496704101562, 'learning_rate': 4.558453237410072e-05, 'epoch': 0.9} -{'loss': 0.4572, 'grad_norm': 1.2565432786941528, 'learning_rate': 4.557553956834533e-05, 'epoch': 0.9} -{'loss': 0.4634, 'grad_norm': 1.0375888347625732, 'learning_rate': 4.5566546762589926e-05, 'epoch': 0.9} -{'loss': 0.4697, 'grad_norm': 1.614790439605713, 'learning_rate': 4.555755395683454e-05, 'epoch': 0.9} -{'loss': 0.4641, 'grad_norm': 1.275579810142517, 'learning_rate': 4.554856115107914e-05, 'epoch': 0.91} -{'loss': 0.4691, 'grad_norm': 1.5532797574996948, 'learning_rate': 4.553956834532374e-05, 'epoch': 0.91} -{'loss': 0.4561, 'grad_norm': 1.0642800331115723, 'learning_rate': 4.553057553956835e-05, 'epoch': 0.91} -{'loss': 0.4703, 'grad_norm': 0.9479794502258301, 'learning_rate': 4.552158273381295e-05, 'epoch': 0.91} -{'loss': 0.4551, 'grad_norm': 1.4028801918029785, 'learning_rate': 4.5512589928057556e-05, 'epoch': 0.91} -{'loss': 0.4687, 'grad_norm': 1.6853814125061035, 'learning_rate': 4.550359712230216e-05, 'epoch': 0.92} - 9%|███████████▊ | 520/5570 [08:18<1:08:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46443870663642883, 'eval_runtime': 1.5233, 'eval_samples_per_second': 472.661, 'eval_steps_per_second': 3.939, 'epoch': 0.92} -{'loss': 0.4675, 'grad_norm': 1.62920343875885, 'learning_rate': 4.5494604316546764e-05, 'epoch': 0.92} -{'loss': 0.4641, 'grad_norm': 0.9382295608520508, 'learning_rate': 4.548561151079137e-05, 'epoch': 0.92} -{'loss': 0.4578, 'grad_norm': 1.105679988861084, 'learning_rate': 4.547661870503597e-05, 'epoch': 0.92} -{'loss': 0.4641, 'grad_norm': 1.8302174806594849, 'learning_rate': 4.546762589928058e-05, 'epoch': 0.92} -{'loss': 0.4608, 'grad_norm': 1.2534431219100952, 'learning_rate': 4.545863309352518e-05, 'epoch': 0.92} -{'loss': 0.467, 'grad_norm': 1.4128997325897217, 'learning_rate': 4.544964028776978e-05, 'epoch': 0.93} -{'loss': 0.459, 'grad_norm': 1.0187766551971436, 'learning_rate': 4.5440647482014394e-05, 'epoch': 0.93} -{'loss': 0.4606, 'grad_norm': 0.7721013426780701, 'learning_rate': 4.5431654676259e-05, 'epoch': 0.93} -{'loss': 0.4694, 'grad_norm': 1.9184147119522095, 'learning_rate': 4.5422661870503595e-05, 'epoch': 0.93} -{'loss': 0.4628, 'grad_norm': 1.8684064149856567, 'learning_rate': 4.5413669064748205e-05, 'epoch': 0.93} - 10%|███████████▉ | 530/5570 [08:27<1:08:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46109798550605774, 'eval_runtime': 1.5128, 'eval_samples_per_second': 475.924, 'eval_steps_per_second': 3.966, 'epoch': 0.93} -{'loss': 0.4541, 'grad_norm': 1.316596508026123, 'learning_rate': 4.540467625899281e-05, 'epoch': 0.94} -{'loss': 0.4677, 'grad_norm': 1.6076607704162598, 'learning_rate': 4.539568345323741e-05, 'epoch': 0.94} -{'loss': 0.4712, 'grad_norm': 2.8366456031799316, 'learning_rate': 4.538669064748202e-05, 'epoch': 0.94} -{'loss': 0.4703, 'grad_norm': 1.8920572996139526, 'learning_rate': 4.537769784172662e-05, 'epoch': 0.94} -{'loss': 0.4716, 'grad_norm': 3.112039566040039, 'learning_rate': 4.5368705035971224e-05, 'epoch': 0.94} -{'loss': 0.4735, 'grad_norm': 1.4534118175506592, 'learning_rate': 4.535971223021583e-05, 'epoch': 0.94} -{'loss': 0.4681, 'grad_norm': 1.4231722354888916, 'learning_rate': 4.535071942446044e-05, 'epoch': 0.95} -{'loss': 0.4546, 'grad_norm': 1.5746403932571411, 'learning_rate': 4.5341726618705036e-05, 'epoch': 0.95} -{'loss': 0.4664, 'grad_norm': 1.4982290267944336, 'learning_rate': 4.533273381294964e-05, 'epoch': 0.95} -{'loss': 0.4582, 'grad_norm': 1.1393142938613892, 'learning_rate': 4.532374100719425e-05, 'epoch': 0.95} - 10%|████████████▏ | 540/5570 [08:37<1:07:20, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4609626829624176, 'eval_runtime': 1.5225, 'eval_samples_per_second': 472.898, 'eval_steps_per_second': 3.941, 'epoch': 0.95} -{'loss': 0.4655, 'grad_norm': 1.5505434274673462, 'learning_rate': 4.531474820143885e-05, 'epoch': 0.95} -{'loss': 0.4653, 'grad_norm': 1.8270717859268188, 'learning_rate': 4.530575539568346e-05, 'epoch': 0.96} -{'loss': 0.4649, 'grad_norm': 2.8949289321899414, 'learning_rate': 4.529676258992806e-05, 'epoch': 0.96} -{'loss': 0.4584, 'grad_norm': 2.038978338241577, 'learning_rate': 4.528776978417266e-05, 'epoch': 0.96} -{'loss': 0.4732, 'grad_norm': 2.1427438259124756, 'learning_rate': 4.527877697841727e-05, 'epoch': 0.96} -{'loss': 0.4744, 'grad_norm': 3.173929452896118, 'learning_rate': 4.5269784172661874e-05, 'epoch': 0.96} -{'loss': 0.4782, 'grad_norm': 2.6103475093841553, 'learning_rate': 4.526079136690648e-05, 'epoch': 0.96} -{'loss': 0.4533, 'grad_norm': 2.4544503688812256, 'learning_rate': 4.525179856115108e-05, 'epoch': 0.97} -{'loss': 0.4635, 'grad_norm': 2.2139806747436523, 'learning_rate': 4.5242805755395685e-05, 'epoch': 0.97} -{'loss': 0.4606, 'grad_norm': 2.1725540161132812, 'learning_rate': 4.523381294964029e-05, 'epoch': 0.97} - 10%|████████████▍ | 550/5570 [08:46<1:08:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45975181460380554, 'eval_runtime': 1.5283, 'eval_samples_per_second': 471.119, 'eval_steps_per_second': 3.926, 'epoch': 0.97} -{'loss': 0.4654, 'grad_norm': 2.873744010925293, 'learning_rate': 4.522482014388489e-05, 'epoch': 0.97} -{'loss': 0.45, 'grad_norm': 1.4788202047348022, 'learning_rate': 4.52158273381295e-05, 'epoch': 0.97} -{'loss': 0.4602, 'grad_norm': 2.505082607269287, 'learning_rate': 4.52068345323741e-05, 'epoch': 0.97} -{'loss': 0.4641, 'grad_norm': 2.3284358978271484, 'learning_rate': 4.5197841726618704e-05, 'epoch': 0.98} -{'loss': 0.45, 'grad_norm': 0.6822357177734375, 'learning_rate': 4.5188848920863315e-05, 'epoch': 0.98} -{'loss': 0.4481, 'grad_norm': 3.049874782562256, 'learning_rate': 4.517985611510792e-05, 'epoch': 0.98} -{'loss': 0.4663, 'grad_norm': 1.1198093891143799, 'learning_rate': 4.5170863309352516e-05, 'epoch': 0.98} -{'loss': 0.4569, 'grad_norm': 2.004478931427002, 'learning_rate': 4.516187050359713e-05, 'epoch': 0.98} -{'loss': 0.4673, 'grad_norm': 2.1155202388763428, 'learning_rate': 4.515287769784173e-05, 'epoch': 0.99} -{'loss': 0.4518, 'grad_norm': 1.4998596906661987, 'learning_rate': 4.5143884892086334e-05, 'epoch': 0.99} - 10%|████████████▋ | 560/5570 [08:55<1:02:04, 1.35it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.465179979801178, 'eval_runtime': 1.5186, 'eval_samples_per_second': 474.13, 'eval_steps_per_second': 3.951, 'epoch': 0.99} -{'loss': 0.4631, 'grad_norm': 3.1418919563293457, 'learning_rate': 4.513489208633094e-05, 'epoch': 0.99} -{'loss': 0.4829, 'grad_norm': 3.542158365249634, 'learning_rate': 4.512589928057554e-05, 'epoch': 0.99} -{'loss': 0.4678, 'grad_norm': 2.3067915439605713, 'learning_rate': 4.5116906474820146e-05, 'epoch': 0.99} -{'loss': 0.4723, 'grad_norm': 1.1879584789276123, 'learning_rate': 4.510791366906475e-05, 'epoch': 0.99} -{'loss': 0.4677, 'grad_norm': 2.7418181896209717, 'learning_rate': 4.509892086330936e-05, 'epoch': 1.0} -{'loss': 0.4631, 'grad_norm': 2.3559975624084473, 'learning_rate': 4.508992805755396e-05, 'epoch': 1.0} -{'loss': 0.454, 'grad_norm': 1.7538833618164062, 'learning_rate': 4.508093525179856e-05, 'epoch': 1.0} -{'loss': 0.458, 'grad_norm': 2.3429744243621826, 'learning_rate': 4.507194244604317e-05, 'epoch': 1.0} -{'loss': 0.4694, 'grad_norm': 1.7836331129074097, 'learning_rate': 4.506294964028777e-05, 'epoch': 1.0} -{'loss': 0.4614, 'grad_norm': 1.8186345100402832, 'learning_rate': 4.505395683453237e-05, 'epoch': 1.01} - 10%|████████████▉ | 570/5570 [09:05<1:07:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46461740136146545, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.402, 'eval_steps_per_second': 3.92, 'epoch': 1.01} -{'loss': 0.4667, 'grad_norm': 1.8132941722869873, 'learning_rate': 4.5044964028776984e-05, 'epoch': 1.01} -{'loss': 0.4622, 'grad_norm': 2.0516679286956787, 'learning_rate': 4.503597122302158e-05, 'epoch': 1.01} -{'loss': 0.4641, 'grad_norm': 2.688739538192749, 'learning_rate': 4.502697841726619e-05, 'epoch': 1.01} -{'loss': 0.4656, 'grad_norm': 1.3039450645446777, 'learning_rate': 4.5017985611510795e-05, 'epoch': 1.01} -{'loss': 0.4594, 'grad_norm': 1.7691017389297485, 'learning_rate': 4.500899280575539e-05, 'epoch': 1.01} -{'loss': 0.4696, 'grad_norm': 1.729366660118103, 'learning_rate': 4.5e-05, 'epoch': 1.02} -{'loss': 0.4563, 'grad_norm': 1.4501785039901733, 'learning_rate': 4.499100719424461e-05, 'epoch': 1.02} -{'loss': 0.4533, 'grad_norm': 1.6524598598480225, 'learning_rate': 4.498201438848921e-05, 'epoch': 1.02} -{'loss': 0.4531, 'grad_norm': 1.021430492401123, 'learning_rate': 4.4973021582733814e-05, 'epoch': 1.02} -{'loss': 0.4579, 'grad_norm': 1.2180498838424683, 'learning_rate': 4.496402877697842e-05, 'epoch': 1.02} - 10%|█████████████ | 580/5570 [09:14<1:08:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4590170979499817, 'eval_runtime': 1.5163, 'eval_samples_per_second': 474.844, 'eval_steps_per_second': 3.957, 'epoch': 1.02} -{'loss': 0.461, 'grad_norm': 1.013163447380066, 'learning_rate': 4.495503597122302e-05, 'epoch': 1.03} -{'loss': 0.4708, 'grad_norm': 2.9808602333068848, 'learning_rate': 4.4946043165467626e-05, 'epoch': 1.03} -{'loss': 0.455, 'grad_norm': 1.083909511566162, 'learning_rate': 4.4937050359712237e-05, 'epoch': 1.03} -{'loss': 0.4656, 'grad_norm': 2.0463597774505615, 'learning_rate': 4.492805755395684e-05, 'epoch': 1.03} -{'loss': 0.4547, 'grad_norm': 1.3280986547470093, 'learning_rate': 4.491906474820144e-05, 'epoch': 1.03} -{'loss': 0.4681, 'grad_norm': 2.4302127361297607, 'learning_rate': 4.491007194244605e-05, 'epoch': 1.03} -{'loss': 0.4836, 'grad_norm': 1.6924539804458618, 'learning_rate': 4.490107913669065e-05, 'epoch': 1.04} -{'loss': 0.4621, 'grad_norm': 1.3943196535110474, 'learning_rate': 4.489208633093525e-05, 'epoch': 1.04} -{'loss': 0.4665, 'grad_norm': 1.7906994819641113, 'learning_rate': 4.488309352517986e-05, 'epoch': 1.04} -{'loss': 0.4719, 'grad_norm': 1.7573573589324951, 'learning_rate': 4.4874100719424464e-05, 'epoch': 1.04} - 11%|█████████████▎ | 590/5570 [09:24<1:06:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45832544565200806, 'eval_runtime': 1.5268, 'eval_samples_per_second': 471.586, 'eval_steps_per_second': 3.93, 'epoch': 1.04} -{'loss': 0.4555, 'grad_norm': 1.77487051486969, 'learning_rate': 4.486510791366907e-05, 'epoch': 1.04} -{'loss': 0.4631, 'grad_norm': 2.183257818222046, 'learning_rate': 4.485611510791367e-05, 'epoch': 1.04} -{'loss': 0.4645, 'grad_norm': 2.5819315910339355, 'learning_rate': 4.4847122302158275e-05, 'epoch': 1.05} -{'loss': 0.4612, 'grad_norm': 1.0755836963653564, 'learning_rate': 4.483812949640288e-05, 'epoch': 1.05} -{'loss': 0.4533, 'grad_norm': 2.8672444820404053, 'learning_rate': 4.482913669064748e-05, 'epoch': 1.05} -{'loss': 0.4733, 'grad_norm': 3.388005018234253, 'learning_rate': 4.4820143884892093e-05, 'epoch': 1.05} -{'loss': 0.4548, 'grad_norm': 2.0730013847351074, 'learning_rate': 4.481115107913669e-05, 'epoch': 1.05} -{'loss': 0.461, 'grad_norm': 1.9824632406234741, 'learning_rate': 4.4802158273381294e-05, 'epoch': 1.06} -{'loss': 0.4631, 'grad_norm': 2.490609645843506, 'learning_rate': 4.4793165467625905e-05, 'epoch': 1.06} -{'loss': 0.4666, 'grad_norm': 2.295799493789673, 'learning_rate': 4.47841726618705e-05, 'epoch': 1.06} - 11%|█████████████▌ | 600/5570 [09:33<1:07:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4589603841304779, 'eval_runtime': 1.5152, 'eval_samples_per_second': 475.189, 'eval_steps_per_second': 3.96, 'epoch': 1.06} -{'loss': 0.4528, 'grad_norm': 1.2293752431869507, 'learning_rate': 4.477517985611511e-05, 'epoch': 1.06} -{'loss': 0.4598, 'grad_norm': 1.8770934343338013, 'learning_rate': 4.4766187050359717e-05, 'epoch': 1.06} -{'loss': 0.4681, 'grad_norm': 2.166004180908203, 'learning_rate': 4.4757194244604314e-05, 'epoch': 1.06} -{'loss': 0.4632, 'grad_norm': 1.243416428565979, 'learning_rate': 4.4748201438848924e-05, 'epoch': 1.07} -{'loss': 0.4622, 'grad_norm': 1.9085347652435303, 'learning_rate': 4.473920863309353e-05, 'epoch': 1.07} -{'loss': 0.4627, 'grad_norm': 1.4386529922485352, 'learning_rate': 4.473021582733813e-05, 'epoch': 1.07} -{'loss': 0.448, 'grad_norm': 0.8208119869232178, 'learning_rate': 4.4721223021582736e-05, 'epoch': 1.07} -{'loss': 0.462, 'grad_norm': 1.3783385753631592, 'learning_rate': 4.471223021582734e-05, 'epoch': 1.07} -{'loss': 0.4634, 'grad_norm': 1.6603294610977173, 'learning_rate': 4.4703237410071944e-05, 'epoch': 1.08} -{'loss': 0.4562, 'grad_norm': 1.4872591495513916, 'learning_rate': 4.469424460431655e-05, 'epoch': 1.08} - 11%|█████████████▊ | 610/5570 [09:43<1:07:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4605785012245178, 'eval_runtime': 1.519, 'eval_samples_per_second': 474.01, 'eval_steps_per_second': 3.95, 'epoch': 1.08} -{'loss': 0.4545, 'grad_norm': 2.540511131286621, 'learning_rate': 4.468525179856115e-05, 'epoch': 1.08} -{'loss': 0.4624, 'grad_norm': 1.1920466423034668, 'learning_rate': 4.4676258992805755e-05, 'epoch': 1.08} -{'loss': 0.463, 'grad_norm': 2.305762767791748, 'learning_rate': 4.466726618705036e-05, 'epoch': 1.08} -{'loss': 0.4668, 'grad_norm': 2.590554714202881, 'learning_rate': 4.465827338129497e-05, 'epoch': 1.08} -{'loss': 0.4545, 'grad_norm': 1.1855957508087158, 'learning_rate': 4.4649280575539573e-05, 'epoch': 1.09} -{'loss': 0.4613, 'grad_norm': 2.4505157470703125, 'learning_rate': 4.464028776978417e-05, 'epoch': 1.09} -{'loss': 0.4705, 'grad_norm': 4.933423042297363, 'learning_rate': 4.463129496402878e-05, 'epoch': 1.09} -{'loss': 0.4648, 'grad_norm': 2.6533405780792236, 'learning_rate': 4.4622302158273385e-05, 'epoch': 1.09} -{'loss': 0.4757, 'grad_norm': 2.4219720363616943, 'learning_rate': 4.461330935251799e-05, 'epoch': 1.09} -{'loss': 0.4607, 'grad_norm': 1.9607096910476685, 'learning_rate': 4.460431654676259e-05, 'epoch': 1.1} - 11%|██████████████ | 620/5570 [09:52<1:06:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4600735008716583, 'eval_runtime': 1.5241, 'eval_samples_per_second': 472.42, 'eval_steps_per_second': 3.937, 'epoch': 1.1} -{'loss': 0.4639, 'grad_norm': 1.749253511428833, 'learning_rate': 4.4595323741007197e-05, 'epoch': 1.1} -{'loss': 0.4658, 'grad_norm': 2.576923131942749, 'learning_rate': 4.45863309352518e-05, 'epoch': 1.1} -{'loss': 0.4733, 'grad_norm': 2.4429759979248047, 'learning_rate': 4.4577338129496404e-05, 'epoch': 1.1} -{'loss': 0.4589, 'grad_norm': 1.308178186416626, 'learning_rate': 4.4568345323741015e-05, 'epoch': 1.1} -{'loss': 0.4695, 'grad_norm': 1.103713035583496, 'learning_rate': 4.455935251798561e-05, 'epoch': 1.1} -{'loss': 0.4662, 'grad_norm': 2.36448073387146, 'learning_rate': 4.4550359712230216e-05, 'epoch': 1.11} -{'loss': 0.4616, 'grad_norm': 2.293006420135498, 'learning_rate': 4.4541366906474827e-05, 'epoch': 1.11} -{'loss': 0.4549, 'grad_norm': 1.4750269651412964, 'learning_rate': 4.4532374100719424e-05, 'epoch': 1.11} -{'loss': 0.455, 'grad_norm': 1.731773018836975, 'learning_rate': 4.452338129496403e-05, 'epoch': 1.11} -{'loss': 0.4545, 'grad_norm': 1.4354959726333618, 'learning_rate': 4.451438848920864e-05, 'epoch': 1.11} - 11%|██████████████▎ | 630/5570 [10:02<1:06:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4606897234916687, 'eval_runtime': 1.5132, 'eval_samples_per_second': 475.805, 'eval_steps_per_second': 3.965, 'epoch': 1.11} -{'loss': 0.4604, 'grad_norm': 2.191309928894043, 'learning_rate': 4.4505395683453235e-05, 'epoch': 1.11} -{'loss': 0.4596, 'grad_norm': 2.914630174636841, 'learning_rate': 4.4496402877697846e-05, 'epoch': 1.12} -{'loss': 0.4576, 'grad_norm': 1.4977396726608276, 'learning_rate': 4.448741007194245e-05, 'epoch': 1.12} -{'loss': 0.4468, 'grad_norm': 2.1551570892333984, 'learning_rate': 4.4478417266187053e-05, 'epoch': 1.12} -{'loss': 0.4624, 'grad_norm': 2.6365416049957275, 'learning_rate': 4.446942446043166e-05, 'epoch': 1.12} -{'loss': 0.4486, 'grad_norm': 1.3932377099990845, 'learning_rate': 4.446043165467626e-05, 'epoch': 1.12} -{'loss': 0.4615, 'grad_norm': 2.1787617206573486, 'learning_rate': 4.4451438848920865e-05, 'epoch': 1.13} -{'loss': 0.468, 'grad_norm': 1.9816267490386963, 'learning_rate': 4.444244604316547e-05, 'epoch': 1.13} -{'loss': 0.4577, 'grad_norm': 1.5505815744400024, 'learning_rate': 4.443345323741007e-05, 'epoch': 1.13} -{'loss': 0.4577, 'grad_norm': 1.7247207164764404, 'learning_rate': 4.4424460431654677e-05, 'epoch': 1.13} - 11%|██████████████▍ | 640/5570 [10:11<1:06:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4566479027271271, 'eval_runtime': 1.5261, 'eval_samples_per_second': 471.801, 'eval_steps_per_second': 3.932, 'epoch': 1.13} -{'loss': 0.4492, 'grad_norm': 1.6251758337020874, 'learning_rate': 4.441546762589928e-05, 'epoch': 1.13} -{'loss': 0.468, 'grad_norm': 1.4203050136566162, 'learning_rate': 4.440647482014389e-05, 'epoch': 1.13} -{'loss': 0.4582, 'grad_norm': 1.8678364753723145, 'learning_rate': 4.4397482014388495e-05, 'epoch': 1.14} -{'loss': 0.4557, 'grad_norm': 1.8379900455474854, 'learning_rate': 4.438848920863309e-05, 'epoch': 1.14} -{'loss': 0.4548, 'grad_norm': 0.8565511703491211, 'learning_rate': 4.43794964028777e-05, 'epoch': 1.14} -{'loss': 0.4715, 'grad_norm': 2.5233848094940186, 'learning_rate': 4.4370503597122307e-05, 'epoch': 1.14} -{'loss': 0.4578, 'grad_norm': 1.4001864194869995, 'learning_rate': 4.4361510791366904e-05, 'epoch': 1.14} -{'loss': 0.4624, 'grad_norm': 1.2425659894943237, 'learning_rate': 4.4352517985611514e-05, 'epoch': 1.15} -{'loss': 0.4663, 'grad_norm': 2.207200288772583, 'learning_rate': 4.434352517985612e-05, 'epoch': 1.15} -{'loss': 0.4577, 'grad_norm': 1.807315468788147, 'learning_rate': 4.433453237410072e-05, 'epoch': 1.15} - 12%|██████████████▋ | 650/5570 [10:21<1:06:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.456694632768631, 'eval_runtime': 1.5321, 'eval_samples_per_second': 469.937, 'eval_steps_per_second': 3.916, 'epoch': 1.15} -{'loss': 0.454, 'grad_norm': 1.3565902709960938, 'learning_rate': 4.4325539568345326e-05, 'epoch': 1.15} -{'loss': 0.4686, 'grad_norm': 0.8583258986473083, 'learning_rate': 4.431654676258993e-05, 'epoch': 1.15} -{'loss': 0.4577, 'grad_norm': 1.110831379890442, 'learning_rate': 4.4307553956834533e-05, 'epoch': 1.15} -{'loss': 0.4573, 'grad_norm': 1.9762967824935913, 'learning_rate': 4.429856115107914e-05, 'epoch': 1.16} -{'loss': 0.4623, 'grad_norm': 1.1931445598602295, 'learning_rate': 4.428956834532375e-05, 'epoch': 1.16} -{'loss': 0.4504, 'grad_norm': 1.1311124563217163, 'learning_rate': 4.4280575539568345e-05, 'epoch': 1.16} -{'loss': 0.4651, 'grad_norm': 1.7314732074737549, 'learning_rate': 4.427158273381295e-05, 'epoch': 1.16} -{'loss': 0.4671, 'grad_norm': 1.752181887626648, 'learning_rate': 4.426258992805756e-05, 'epoch': 1.16} -{'loss': 0.4633, 'grad_norm': 1.7971290349960327, 'learning_rate': 4.425359712230216e-05, 'epoch': 1.17} -{'loss': 0.4643, 'grad_norm': 1.930193543434143, 'learning_rate': 4.424460431654677e-05, 'epoch': 1.17} - 12%|██████████████▉ | 660/5570 [10:30<1:05:56, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4628444314002991, 'eval_runtime': 1.517, 'eval_samples_per_second': 474.624, 'eval_steps_per_second': 3.955, 'epoch': 1.17} -{'loss': 0.4713, 'grad_norm': 2.3000879287719727, 'learning_rate': 4.423561151079137e-05, 'epoch': 1.17} -{'loss': 0.478, 'grad_norm': 3.049415349960327, 'learning_rate': 4.422661870503597e-05, 'epoch': 1.17} -{'loss': 0.4675, 'grad_norm': 2.3596906661987305, 'learning_rate': 4.421762589928058e-05, 'epoch': 1.17} -{'loss': 0.4667, 'grad_norm': 1.715410590171814, 'learning_rate': 4.420863309352518e-05, 'epoch': 1.17} -{'loss': 0.4648, 'grad_norm': 1.783656358718872, 'learning_rate': 4.4199640287769787e-05, 'epoch': 1.18} -{'loss': 0.4625, 'grad_norm': 0.7984979748725891, 'learning_rate': 4.419064748201439e-05, 'epoch': 1.18} -{'loss': 0.4633, 'grad_norm': 1.5864739418029785, 'learning_rate': 4.4181654676258994e-05, 'epoch': 1.18} -{'loss': 0.4572, 'grad_norm': 2.0388331413269043, 'learning_rate': 4.41726618705036e-05, 'epoch': 1.18} -{'loss': 0.4641, 'grad_norm': 2.0045084953308105, 'learning_rate': 4.41636690647482e-05, 'epoch': 1.18} -{'loss': 0.465, 'grad_norm': 1.8571785688400269, 'learning_rate': 4.4154676258992806e-05, 'epoch': 1.18} - 12%|███████████████▏ | 670/5570 [10:40<1:06:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4582293927669525, 'eval_runtime': 1.5227, 'eval_samples_per_second': 472.834, 'eval_steps_per_second': 3.94, 'epoch': 1.18} -{'loss': 0.4597, 'grad_norm': 1.762822151184082, 'learning_rate': 4.4145683453237416e-05, 'epoch': 1.19} -{'loss': 0.4671, 'grad_norm': 2.3278234004974365, 'learning_rate': 4.4136690647482013e-05, 'epoch': 1.19} -{'loss': 0.4726, 'grad_norm': 3.653245449066162, 'learning_rate': 4.4127697841726624e-05, 'epoch': 1.19} -{'loss': 0.4577, 'grad_norm': 1.0398495197296143, 'learning_rate': 4.411870503597123e-05, 'epoch': 1.19} -{'loss': 0.4616, 'grad_norm': 1.722974419593811, 'learning_rate': 4.4109712230215825e-05, 'epoch': 1.19} -{'loss': 0.4722, 'grad_norm': 2.1958515644073486, 'learning_rate': 4.4100719424460436e-05, 'epoch': 1.2} -{'loss': 0.4635, 'grad_norm': 2.330458641052246, 'learning_rate': 4.409172661870504e-05, 'epoch': 1.2} -{'loss': 0.458, 'grad_norm': 1.5140233039855957, 'learning_rate': 4.4082733812949643e-05, 'epoch': 1.2} -{'loss': 0.4545, 'grad_norm': 1.877040147781372, 'learning_rate': 4.407374100719425e-05, 'epoch': 1.2} -{'loss': 0.4615, 'grad_norm': 2.739996910095215, 'learning_rate': 4.406474820143885e-05, 'epoch': 1.2} - 12%|███████████████▍ | 680/5570 [10:49<1:06:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.454122930765152, 'eval_runtime': 1.5187, 'eval_samples_per_second': 474.102, 'eval_steps_per_second': 3.951, 'epoch': 1.2} -{'loss': 0.4513, 'grad_norm': 1.3164459466934204, 'learning_rate': 4.4055755395683455e-05, 'epoch': 1.2} -{'loss': 0.4546, 'grad_norm': 2.7280240058898926, 'learning_rate': 4.404676258992806e-05, 'epoch': 1.21} -{'loss': 0.4761, 'grad_norm': 2.4863860607147217, 'learning_rate': 4.403776978417267e-05, 'epoch': 1.21} -{'loss': 0.4572, 'grad_norm': 2.1095049381256104, 'learning_rate': 4.4028776978417267e-05, 'epoch': 1.21} -{'loss': 0.4676, 'grad_norm': 1.633167028427124, 'learning_rate': 4.401978417266187e-05, 'epoch': 1.21} -{'loss': 0.4596, 'grad_norm': 2.184830665588379, 'learning_rate': 4.401079136690648e-05, 'epoch': 1.21} -{'loss': 0.4675, 'grad_norm': 2.2474172115325928, 'learning_rate': 4.400179856115108e-05, 'epoch': 1.22} -{'loss': 0.4618, 'grad_norm': 1.5765786170959473, 'learning_rate': 4.399280575539568e-05, 'epoch': 1.22} -{'loss': 0.4607, 'grad_norm': 2.371060848236084, 'learning_rate': 4.398381294964029e-05, 'epoch': 1.22} -{'loss': 0.4621, 'grad_norm': 1.7650359869003296, 'learning_rate': 4.397482014388489e-05, 'epoch': 1.22} - 12%|███████████████▌ | 690/5570 [10:59<1:06:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45910874009132385, 'eval_runtime': 1.5448, 'eval_samples_per_second': 466.082, 'eval_steps_per_second': 3.884, 'epoch': 1.22} -{'loss': 0.4557, 'grad_norm': 2.6624958515167236, 'learning_rate': 4.39658273381295e-05, 'epoch': 1.22} -{'loss': 0.4569, 'grad_norm': 1.8627866506576538, 'learning_rate': 4.3956834532374104e-05, 'epoch': 1.22} -{'loss': 0.4554, 'grad_norm': 1.9950175285339355, 'learning_rate': 4.394784172661871e-05, 'epoch': 1.23} -{'loss': 0.4582, 'grad_norm': 1.490181565284729, 'learning_rate': 4.393884892086331e-05, 'epoch': 1.23} -{'loss': 0.4618, 'grad_norm': 1.8218398094177246, 'learning_rate': 4.3929856115107916e-05, 'epoch': 1.23} -{'loss': 0.4527, 'grad_norm': 1.7466518878936768, 'learning_rate': 4.392086330935252e-05, 'epoch': 1.23} -{'loss': 0.4491, 'grad_norm': 1.7095065116882324, 'learning_rate': 4.3911870503597123e-05, 'epoch': 1.23} -{'loss': 0.4595, 'grad_norm': 1.1573810577392578, 'learning_rate': 4.390287769784173e-05, 'epoch': 1.24} -{'loss': 0.4601, 'grad_norm': 2.207921266555786, 'learning_rate': 4.389388489208633e-05, 'epoch': 1.24} -{'loss': 0.4611, 'grad_norm': 1.5761667490005493, 'learning_rate': 4.3884892086330935e-05, 'epoch': 1.24} - 13%|███████████████▊ | 700/5570 [11:09<1:06:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4526273012161255, 'eval_runtime': 1.5167, 'eval_samples_per_second': 474.716, 'eval_steps_per_second': 3.956, 'epoch': 1.24} -{'loss': 0.4626, 'grad_norm': 1.200653314590454, 'learning_rate': 4.3875899280575546e-05, 'epoch': 1.24} -{'loss': 0.4655, 'grad_norm': 1.7124552726745605, 'learning_rate': 4.386690647482015e-05, 'epoch': 1.24} -{'loss': 0.4707, 'grad_norm': 1.5267170667648315, 'learning_rate': 4.3857913669064747e-05, 'epoch': 1.24} -{'loss': 0.4462, 'grad_norm': 1.6546568870544434, 'learning_rate': 4.384892086330936e-05, 'epoch': 1.25} -{'loss': 0.4604, 'grad_norm': 2.4673244953155518, 'learning_rate': 4.383992805755396e-05, 'epoch': 1.25} -{'loss': 0.4574, 'grad_norm': 2.6693005561828613, 'learning_rate': 4.383093525179856e-05, 'epoch': 1.25} -{'loss': 0.4584, 'grad_norm': 1.4912372827529907, 'learning_rate': 4.382194244604317e-05, 'epoch': 1.25} -{'loss': 0.467, 'grad_norm': 2.774174213409424, 'learning_rate': 4.381294964028777e-05, 'epoch': 1.25} -{'loss': 0.4626, 'grad_norm': 2.582697868347168, 'learning_rate': 4.3803956834532376e-05, 'epoch': 1.25} -{'loss': 0.46, 'grad_norm': 1.4203038215637207, 'learning_rate': 4.379496402877698e-05, 'epoch': 1.26} - 13%|████████████████ | 710/5570 [11:18<1:05:19, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4586155414581299, 'eval_runtime': 1.5649, 'eval_samples_per_second': 460.092, 'eval_steps_per_second': 3.834, 'epoch': 1.26} -{'loss': 0.4572, 'grad_norm': 2.119184732437134, 'learning_rate': 4.3785971223021584e-05, 'epoch': 1.26} -{'loss': 0.4523, 'grad_norm': 2.124833822250366, 'learning_rate': 4.377697841726619e-05, 'epoch': 1.26} -{'loss': 0.4578, 'grad_norm': 1.8913509845733643, 'learning_rate': 4.376798561151079e-05, 'epoch': 1.26} -{'loss': 0.4531, 'grad_norm': 2.086992025375366, 'learning_rate': 4.37589928057554e-05, 'epoch': 1.26} -{'loss': 0.4662, 'grad_norm': 2.0695817470550537, 'learning_rate': 4.375e-05, 'epoch': 1.27} -{'loss': 0.463, 'grad_norm': 1.018123984336853, 'learning_rate': 4.3741007194244603e-05, 'epoch': 1.27} -{'loss': 0.4536, 'grad_norm': 1.6060216426849365, 'learning_rate': 4.3732014388489214e-05, 'epoch': 1.27} -{'loss': 0.4502, 'grad_norm': 2.2333385944366455, 'learning_rate': 4.372302158273381e-05, 'epoch': 1.27} -{'loss': 0.4647, 'grad_norm': 1.110173225402832, 'learning_rate': 4.371402877697842e-05, 'epoch': 1.27} -{'loss': 0.4558, 'grad_norm': 2.3696658611297607, 'learning_rate': 4.3705035971223026e-05, 'epoch': 1.27} - 13%|████████████████▎ | 720/5570 [11:28<1:05:15, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4611644446849823, 'eval_runtime': 1.5377, 'eval_samples_per_second': 468.235, 'eval_steps_per_second': 3.902, 'epoch': 1.27} -{'loss': 0.451, 'grad_norm': 2.9512550830841064, 'learning_rate': 4.369604316546763e-05, 'epoch': 1.28} -{'loss': 0.463, 'grad_norm': 1.4405653476715088, 'learning_rate': 4.368705035971223e-05, 'epoch': 1.28} -{'loss': 0.4526, 'grad_norm': 2.765958309173584, 'learning_rate': 4.367805755395684e-05, 'epoch': 1.28} -{'loss': 0.4735, 'grad_norm': 2.5530810356140137, 'learning_rate': 4.366906474820144e-05, 'epoch': 1.28} -{'loss': 0.4649, 'grad_norm': 1.7844128608703613, 'learning_rate': 4.3660071942446045e-05, 'epoch': 1.28} -{'loss': 0.4614, 'grad_norm': 2.3253214359283447, 'learning_rate': 4.365107913669065e-05, 'epoch': 1.29} -{'loss': 0.4612, 'grad_norm': 2.1037395000457764, 'learning_rate': 4.364208633093525e-05, 'epoch': 1.29} -{'loss': 0.4697, 'grad_norm': 2.2065863609313965, 'learning_rate': 4.3633093525179856e-05, 'epoch': 1.29} -{'loss': 0.4498, 'grad_norm': 1.7957550287246704, 'learning_rate': 4.362410071942446e-05, 'epoch': 1.29} -{'loss': 0.4596, 'grad_norm': 1.0329718589782715, 'learning_rate': 4.361510791366907e-05, 'epoch': 1.29} - 13%|████████████████▌ | 730/5570 [11:37<1:05:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4583311676979065, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.378, 'eval_steps_per_second': 3.92, 'epoch': 1.29} -{'loss': 0.4715, 'grad_norm': 2.9413788318634033, 'learning_rate': 4.360611510791367e-05, 'epoch': 1.29} -{'loss': 0.4595, 'grad_norm': 2.632932662963867, 'learning_rate': 4.359712230215828e-05, 'epoch': 1.3} -{'loss': 0.443, 'grad_norm': 1.321623682975769, 'learning_rate': 4.358812949640288e-05, 'epoch': 1.3} -{'loss': 0.46, 'grad_norm': 2.2280659675598145, 'learning_rate': 4.357913669064748e-05, 'epoch': 1.3} -{'loss': 0.4625, 'grad_norm': 2.4447853565216064, 'learning_rate': 4.357014388489209e-05, 'epoch': 1.3} -{'loss': 0.4476, 'grad_norm': 1.2432734966278076, 'learning_rate': 4.3561151079136694e-05, 'epoch': 1.3} -{'loss': 0.456, 'grad_norm': 1.0533182621002197, 'learning_rate': 4.35521582733813e-05, 'epoch': 1.31} -{'loss': 0.4605, 'grad_norm': 1.8351593017578125, 'learning_rate': 4.35431654676259e-05, 'epoch': 1.31} -{'loss': 0.4455, 'grad_norm': 0.9232715964317322, 'learning_rate': 4.3534172661870506e-05, 'epoch': 1.31} -{'loss': 0.4519, 'grad_norm': 1.3931986093521118, 'learning_rate': 4.352517985611511e-05, 'epoch': 1.31} - 13%|████████████████▋ | 740/5570 [11:47<1:05:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45497894287109375, 'eval_runtime': 1.508, 'eval_samples_per_second': 477.441, 'eval_steps_per_second': 3.979, 'epoch': 1.31} -{'loss': 0.4508, 'grad_norm': 1.5852127075195312, 'learning_rate': 4.351618705035971e-05, 'epoch': 1.31} -{'loss': 0.4554, 'grad_norm': 1.4834508895874023, 'learning_rate': 4.3507194244604324e-05, 'epoch': 1.31} -{'loss': 0.4457, 'grad_norm': 1.5706944465637207, 'learning_rate': 4.349820143884892e-05, 'epoch': 1.32} -{'loss': 0.4486, 'grad_norm': 1.6806576251983643, 'learning_rate': 4.3489208633093525e-05, 'epoch': 1.32} -{'loss': 0.4569, 'grad_norm': 1.5718731880187988, 'learning_rate': 4.3480215827338136e-05, 'epoch': 1.32} -{'loss': 0.4593, 'grad_norm': 1.7872486114501953, 'learning_rate': 4.347122302158273e-05, 'epoch': 1.32} -{'loss': 0.4639, 'grad_norm': 1.3726216554641724, 'learning_rate': 4.3462230215827336e-05, 'epoch': 1.32} -{'loss': 0.4555, 'grad_norm': 1.704720377922058, 'learning_rate': 4.345323741007195e-05, 'epoch': 1.32} -{'loss': 0.4641, 'grad_norm': 1.8796966075897217, 'learning_rate': 4.3444244604316544e-05, 'epoch': 1.33} -{'loss': 0.4603, 'grad_norm': 2.3232157230377197, 'learning_rate': 4.3435251798561155e-05, 'epoch': 1.33} - 13%|████████████████▉ | 750/5570 [11:56<1:05:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45717838406562805, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.411, 'eval_steps_per_second': 3.92, 'epoch': 1.33} -{'loss': 0.4648, 'grad_norm': 2.3951616287231445, 'learning_rate': 4.342625899280576e-05, 'epoch': 1.33} -{'loss': 0.4672, 'grad_norm': 1.311553955078125, 'learning_rate': 4.341726618705036e-05, 'epoch': 1.33} -{'loss': 0.4726, 'grad_norm': 2.278980255126953, 'learning_rate': 4.3408273381294966e-05, 'epoch': 1.33} -{'loss': 0.4707, 'grad_norm': 2.961142063140869, 'learning_rate': 4.339928057553957e-05, 'epoch': 1.34} -{'loss': 0.4631, 'grad_norm': 1.9288910627365112, 'learning_rate': 4.3390287769784174e-05, 'epoch': 1.34} -{'loss': 0.4557, 'grad_norm': 1.7107727527618408, 'learning_rate': 4.338129496402878e-05, 'epoch': 1.34} -{'loss': 0.4634, 'grad_norm': 1.5256798267364502, 'learning_rate': 4.337230215827338e-05, 'epoch': 1.34} -{'loss': 0.4584, 'grad_norm': 2.112806558609009, 'learning_rate': 4.3363309352517986e-05, 'epoch': 1.34} -{'loss': 0.4502, 'grad_norm': 1.3003251552581787, 'learning_rate': 4.335431654676259e-05, 'epoch': 1.34} -{'loss': 0.4572, 'grad_norm': 0.797844648361206, 'learning_rate': 4.33453237410072e-05, 'epoch': 1.35} - 14%|█████████████████▏ | 760/5570 [12:06<1:05:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4532223045825958, 'eval_runtime': 1.5296, 'eval_samples_per_second': 470.726, 'eval_steps_per_second': 3.923, 'epoch': 1.35} -{'loss': 0.4722, 'grad_norm': 1.9825334548950195, 'learning_rate': 4.3336330935251804e-05, 'epoch': 1.35} -{'loss': 0.4586, 'grad_norm': 1.5617012977600098, 'learning_rate': 4.33273381294964e-05, 'epoch': 1.35} -{'loss': 0.4515, 'grad_norm': 1.8721046447753906, 'learning_rate': 4.331834532374101e-05, 'epoch': 1.35} -{'loss': 0.4543, 'grad_norm': 2.3905723094940186, 'learning_rate': 4.3309352517985616e-05, 'epoch': 1.35} -{'loss': 0.4568, 'grad_norm': 2.260838031768799, 'learning_rate': 4.330035971223021e-05, 'epoch': 1.36} -{'loss': 0.462, 'grad_norm': 2.2489583492279053, 'learning_rate': 4.329136690647482e-05, 'epoch': 1.36} -{'loss': 0.4666, 'grad_norm': 1.8635046482086182, 'learning_rate': 4.328237410071943e-05, 'epoch': 1.36} -{'loss': 0.4546, 'grad_norm': 1.7270981073379517, 'learning_rate': 4.327338129496403e-05, 'epoch': 1.36} -{'loss': 0.4437, 'grad_norm': 1.0307567119598389, 'learning_rate': 4.3264388489208635e-05, 'epoch': 1.36} -{'loss': 0.4456, 'grad_norm': 0.7621051073074341, 'learning_rate': 4.325539568345324e-05, 'epoch': 1.36} - 14%|█████████████████▍ | 770/5570 [12:15<1:05:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4541364014148712, 'eval_runtime': 1.5157, 'eval_samples_per_second': 475.034, 'eval_steps_per_second': 3.959, 'epoch': 1.36} -{'loss': 0.4588, 'grad_norm': 1.8351184129714966, 'learning_rate': 4.324640287769784e-05, 'epoch': 1.37} -{'loss': 0.4601, 'grad_norm': 1.6981866359710693, 'learning_rate': 4.3237410071942446e-05, 'epoch': 1.37} -{'loss': 0.4573, 'grad_norm': 2.2410502433776855, 'learning_rate': 4.322841726618706e-05, 'epoch': 1.37} -{'loss': 0.4629, 'grad_norm': 2.4966988563537598, 'learning_rate': 4.3219424460431654e-05, 'epoch': 1.37} -{'loss': 0.4517, 'grad_norm': 2.5821943283081055, 'learning_rate': 4.321043165467626e-05, 'epoch': 1.37} -{'loss': 0.4671, 'grad_norm': 2.7159242630004883, 'learning_rate': 4.320143884892087e-05, 'epoch': 1.38} -{'loss': 0.4628, 'grad_norm': 3.164304256439209, 'learning_rate': 4.3192446043165466e-05, 'epoch': 1.38} -{'loss': 0.4655, 'grad_norm': 2.7413671016693115, 'learning_rate': 4.3183453237410076e-05, 'epoch': 1.38} -{'loss': 0.4517, 'grad_norm': 1.916656494140625, 'learning_rate': 4.317446043165468e-05, 'epoch': 1.38} -{'loss': 0.4678, 'grad_norm': 2.2218775749206543, 'learning_rate': 4.3165467625899284e-05, 'epoch': 1.38} - 14%|█████████████████▋ | 780/5570 [12:25<1:04:35, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4594498574733734, 'eval_runtime': 1.5312, 'eval_samples_per_second': 470.222, 'eval_steps_per_second': 3.919, 'epoch': 1.38} -{'loss': 0.4539, 'grad_norm': 2.2919163703918457, 'learning_rate': 4.315647482014389e-05, 'epoch': 1.38} -{'loss': 0.4589, 'grad_norm': 1.9296646118164062, 'learning_rate': 4.314748201438849e-05, 'epoch': 1.39} -{'loss': 0.4563, 'grad_norm': 1.8777145147323608, 'learning_rate': 4.3138489208633096e-05, 'epoch': 1.39} -{'loss': 0.4578, 'grad_norm': 1.7964637279510498, 'learning_rate': 4.31294964028777e-05, 'epoch': 1.39} -{'loss': 0.4558, 'grad_norm': 1.5499839782714844, 'learning_rate': 4.31205035971223e-05, 'epoch': 1.39} -{'loss': 0.4587, 'grad_norm': 3.2247672080993652, 'learning_rate': 4.311151079136691e-05, 'epoch': 1.39} -{'loss': 0.4484, 'grad_norm': 2.0528335571289062, 'learning_rate': 4.310251798561151e-05, 'epoch': 1.39} -{'loss': 0.4519, 'grad_norm': 2.572530746459961, 'learning_rate': 4.3093525179856115e-05, 'epoch': 1.4} -{'loss': 0.4492, 'grad_norm': 2.1931543350219727, 'learning_rate': 4.3084532374100725e-05, 'epoch': 1.4} -{'loss': 0.4502, 'grad_norm': 1.231050729751587, 'learning_rate': 4.307553956834532e-05, 'epoch': 1.4} - 14%|█████████████████▊ | 790/5570 [12:34<1:05:41, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45399338006973267, 'eval_runtime': 1.5101, 'eval_samples_per_second': 476.803, 'eval_steps_per_second': 3.973, 'epoch': 1.4} -{'loss': 0.4602, 'grad_norm': 2.552137851715088, 'learning_rate': 4.306654676258993e-05, 'epoch': 1.4} -{'loss': 0.4521, 'grad_norm': 2.118722677230835, 'learning_rate': 4.305755395683454e-05, 'epoch': 1.4} -{'loss': 0.4603, 'grad_norm': 2.0137434005737305, 'learning_rate': 4.3048561151079134e-05, 'epoch': 1.41} -{'loss': 0.4536, 'grad_norm': 1.8217494487762451, 'learning_rate': 4.3039568345323745e-05, 'epoch': 1.41} -{'loss': 0.4661, 'grad_norm': 2.1678638458251953, 'learning_rate': 4.303057553956835e-05, 'epoch': 1.41} -{'loss': 0.4654, 'grad_norm': 1.8072733879089355, 'learning_rate': 4.302158273381295e-05, 'epoch': 1.41} -{'loss': 0.4483, 'grad_norm': 1.2276464700698853, 'learning_rate': 4.3012589928057556e-05, 'epoch': 1.41} -{'loss': 0.4577, 'grad_norm': 1.7828505039215088, 'learning_rate': 4.300359712230216e-05, 'epoch': 1.41} -{'loss': 0.4677, 'grad_norm': 2.844787359237671, 'learning_rate': 4.2994604316546764e-05, 'epoch': 1.42} -{'loss': 0.4491, 'grad_norm': 1.1558667421340942, 'learning_rate': 4.298561151079137e-05, 'epoch': 1.42} - 14%|██████████████████ | 800/5570 [12:44<1:04:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45359963178634644, 'eval_runtime': 1.53, 'eval_samples_per_second': 470.601, 'eval_steps_per_second': 3.922, 'epoch': 1.42} -{'loss': 0.4457, 'grad_norm': 2.429832696914673, 'learning_rate': 4.297661870503598e-05, 'epoch': 1.42} -{'loss': 0.4518, 'grad_norm': 1.511959195137024, 'learning_rate': 4.2967625899280576e-05, 'epoch': 1.42} -{'loss': 0.4585, 'grad_norm': 1.0622447729110718, 'learning_rate': 4.295863309352518e-05, 'epoch': 1.42} -{'loss': 0.4483, 'grad_norm': 1.4939193725585938, 'learning_rate': 4.294964028776979e-05, 'epoch': 1.43} -{'loss': 0.4351, 'grad_norm': 1.3638982772827148, 'learning_rate': 4.294064748201439e-05, 'epoch': 1.43} -{'loss': 0.4653, 'grad_norm': 2.607347011566162, 'learning_rate': 4.293165467625899e-05, 'epoch': 1.43} -{'loss': 0.4541, 'grad_norm': 2.187323570251465, 'learning_rate': 4.29226618705036e-05, 'epoch': 1.43} -{'loss': 0.4491, 'grad_norm': 1.2524867057800293, 'learning_rate': 4.29136690647482e-05, 'epoch': 1.43} -{'loss': 0.4594, 'grad_norm': 3.7325239181518555, 'learning_rate': 4.290467625899281e-05, 'epoch': 1.43} -{'loss': 0.4695, 'grad_norm': 4.455158233642578, 'learning_rate': 4.289568345323741e-05, 'epoch': 1.44} - 15%|██████████████████▎ | 810/5570 [12:53<1:05:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.453410267829895, 'eval_runtime': 1.5338, 'eval_samples_per_second': 469.413, 'eval_steps_per_second': 3.912, 'epoch': 1.44} -{'loss': 0.4536, 'grad_norm': 1.4885162115097046, 'learning_rate': 4.288669064748202e-05, 'epoch': 1.44} -{'loss': 0.4669, 'grad_norm': 3.528430223464966, 'learning_rate': 4.287769784172662e-05, 'epoch': 1.44} -{'loss': 0.4805, 'grad_norm': 4.286127090454102, 'learning_rate': 4.2868705035971225e-05, 'epoch': 1.44} -{'loss': 0.4619, 'grad_norm': 2.699402093887329, 'learning_rate': 4.285971223021583e-05, 'epoch': 1.44} -{'loss': 0.4585, 'grad_norm': 1.6537995338439941, 'learning_rate': 4.285071942446043e-05, 'epoch': 1.45} -{'loss': 0.4717, 'grad_norm': 2.3436222076416016, 'learning_rate': 4.2841726618705036e-05, 'epoch': 1.45} -{'loss': 0.4537, 'grad_norm': 1.3273546695709229, 'learning_rate': 4.283273381294965e-05, 'epoch': 1.45} -{'loss': 0.4538, 'grad_norm': 2.0675196647644043, 'learning_rate': 4.2823741007194244e-05, 'epoch': 1.45} -{'loss': 0.455, 'grad_norm': 2.198235034942627, 'learning_rate': 4.2814748201438855e-05, 'epoch': 1.45} -{'loss': 0.4498, 'grad_norm': 2.1772966384887695, 'learning_rate': 4.280575539568346e-05, 'epoch': 1.45} - 15%|██████████████████▌ | 820/5570 [13:03<1:04:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45123061537742615, 'eval_runtime': 1.5255, 'eval_samples_per_second': 471.973, 'eval_steps_per_second': 3.933, 'epoch': 1.45} -{'loss': 0.4584, 'grad_norm': 1.090179443359375, 'learning_rate': 4.2796762589928056e-05, 'epoch': 1.46} -{'loss': 0.4631, 'grad_norm': 2.6340672969818115, 'learning_rate': 4.2787769784172666e-05, 'epoch': 1.46} -{'loss': 0.4557, 'grad_norm': 1.0244874954223633, 'learning_rate': 4.277877697841727e-05, 'epoch': 1.46} -{'loss': 0.454, 'grad_norm': 1.21035635471344, 'learning_rate': 4.2769784172661874e-05, 'epoch': 1.46} -{'loss': 0.4559, 'grad_norm': 1.8800235986709595, 'learning_rate': 4.276079136690648e-05, 'epoch': 1.46} -{'loss': 0.4553, 'grad_norm': 1.9313173294067383, 'learning_rate': 4.275179856115108e-05, 'epoch': 1.46} -{'loss': 0.4626, 'grad_norm': 2.298506498336792, 'learning_rate': 4.2742805755395685e-05, 'epoch': 1.47} -{'loss': 0.4501, 'grad_norm': 1.4018131494522095, 'learning_rate': 4.273381294964029e-05, 'epoch': 1.47} -{'loss': 0.4574, 'grad_norm': 2.5718891620635986, 'learning_rate': 4.272482014388489e-05, 'epoch': 1.47} -{'loss': 0.4616, 'grad_norm': 2.313086986541748, 'learning_rate': 4.27158273381295e-05, 'epoch': 1.47} - 15%|██████████████████▊ | 830/5570 [13:12<1:04:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4556548297405243, 'eval_runtime': 1.5246, 'eval_samples_per_second': 472.257, 'eval_steps_per_second': 3.935, 'epoch': 1.47} -{'loss': 0.4677, 'grad_norm': 2.3710453510284424, 'learning_rate': 4.27068345323741e-05, 'epoch': 1.47} -{'loss': 0.4563, 'grad_norm': 2.357560873031616, 'learning_rate': 4.269784172661871e-05, 'epoch': 1.48} -{'loss': 0.4551, 'grad_norm': 1.259917140007019, 'learning_rate': 4.268884892086331e-05, 'epoch': 1.48} -{'loss': 0.4466, 'grad_norm': 2.155214548110962, 'learning_rate': 4.267985611510791e-05, 'epoch': 1.48} -{'loss': 0.4727, 'grad_norm': 2.545093297958374, 'learning_rate': 4.267086330935252e-05, 'epoch': 1.48} -{'loss': 0.4514, 'grad_norm': 1.3713446855545044, 'learning_rate': 4.266187050359712e-05, 'epoch': 1.48} -{'loss': 0.4594, 'grad_norm': 3.675328016281128, 'learning_rate': 4.265287769784173e-05, 'epoch': 1.48} -{'loss': 0.462, 'grad_norm': 2.4890432357788086, 'learning_rate': 4.2643884892086335e-05, 'epoch': 1.49} -{'loss': 0.4652, 'grad_norm': 3.052769184112549, 'learning_rate': 4.263489208633094e-05, 'epoch': 1.49} -{'loss': 0.4549, 'grad_norm': 1.948660969734192, 'learning_rate': 4.262589928057554e-05, 'epoch': 1.49} - 15%|███████████████████ | 840/5570 [13:22<1:04:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4532337486743927, 'eval_runtime': 1.5268, 'eval_samples_per_second': 471.567, 'eval_steps_per_second': 3.93, 'epoch': 1.49} -{'loss': 0.4487, 'grad_norm': 1.6570005416870117, 'learning_rate': 4.2616906474820146e-05, 'epoch': 1.49} -{'loss': 0.4638, 'grad_norm': 1.8742848634719849, 'learning_rate': 4.260791366906475e-05, 'epoch': 1.49} -{'loss': 0.4498, 'grad_norm': 1.3531296253204346, 'learning_rate': 4.2598920863309354e-05, 'epoch': 1.5} -{'loss': 0.4614, 'grad_norm': 2.9428975582122803, 'learning_rate': 4.258992805755396e-05, 'epoch': 1.5} -{'loss': 0.4597, 'grad_norm': 4.349573135375977, 'learning_rate': 4.258093525179856e-05, 'epoch': 1.5} -{'loss': 0.4505, 'grad_norm': 1.7494986057281494, 'learning_rate': 4.2571942446043165e-05, 'epoch': 1.5} -{'loss': 0.448, 'grad_norm': 1.5158518552780151, 'learning_rate': 4.256294964028777e-05, 'epoch': 1.5} -{'loss': 0.4517, 'grad_norm': 3.095036745071411, 'learning_rate': 4.255395683453238e-05, 'epoch': 1.5} -{'loss': 0.4647, 'grad_norm': 3.2762396335601807, 'learning_rate': 4.254496402877698e-05, 'epoch': 1.51} -{'loss': 0.4653, 'grad_norm': 2.403125762939453, 'learning_rate': 4.253597122302159e-05, 'epoch': 1.51} - 15%|███████████████████▏ | 850/5570 [13:32<1:04:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4511953890323639, 'eval_runtime': 1.5135, 'eval_samples_per_second': 475.73, 'eval_steps_per_second': 3.964, 'epoch': 1.51} -{'loss': 0.4461, 'grad_norm': 1.793035864830017, 'learning_rate': 4.252697841726619e-05, 'epoch': 1.51} -{'loss': 0.4579, 'grad_norm': 2.619675636291504, 'learning_rate': 4.251798561151079e-05, 'epoch': 1.51} -{'loss': 0.4439, 'grad_norm': 1.1325571537017822, 'learning_rate': 4.25089928057554e-05, 'epoch': 1.51} -{'loss': 0.4453, 'grad_norm': 2.010934591293335, 'learning_rate': 4.25e-05, 'epoch': 1.52} -{'loss': 0.4581, 'grad_norm': 2.4059152603149414, 'learning_rate': 4.249100719424461e-05, 'epoch': 1.52} -{'loss': 0.4613, 'grad_norm': 1.8013758659362793, 'learning_rate': 4.248201438848921e-05, 'epoch': 1.52} -{'loss': 0.4555, 'grad_norm': 0.7894816398620605, 'learning_rate': 4.2473021582733815e-05, 'epoch': 1.52} -{'loss': 0.4663, 'grad_norm': 2.3489811420440674, 'learning_rate': 4.246402877697842e-05, 'epoch': 1.52} -{'loss': 0.4518, 'grad_norm': 2.139902114868164, 'learning_rate': 4.245503597122302e-05, 'epoch': 1.52} -{'loss': 0.4475, 'grad_norm': 1.4593902826309204, 'learning_rate': 4.244604316546763e-05, 'epoch': 1.53} - 15%|███████████████████▍ | 860/5570 [13:41<1:04:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4509156048297882, 'eval_runtime': 1.5482, 'eval_samples_per_second': 465.053, 'eval_steps_per_second': 3.875, 'epoch': 1.53} -{'loss': 0.4592, 'grad_norm': 2.658449411392212, 'learning_rate': 4.243705035971223e-05, 'epoch': 1.53} -{'loss': 0.4585, 'grad_norm': 2.1977338790893555, 'learning_rate': 4.2428057553956834e-05, 'epoch': 1.53} -{'loss': 0.4538, 'grad_norm': 2.1196610927581787, 'learning_rate': 4.2419064748201445e-05, 'epoch': 1.53} -{'loss': 0.4534, 'grad_norm': 2.7711501121520996, 'learning_rate': 4.241007194244604e-05, 'epoch': 1.53} -{'loss': 0.4534, 'grad_norm': 2.90920090675354, 'learning_rate': 4.2401079136690645e-05, 'epoch': 1.54} -{'loss': 0.4533, 'grad_norm': 1.585357666015625, 'learning_rate': 4.2392086330935256e-05, 'epoch': 1.54} -{'loss': 0.4516, 'grad_norm': 1.7668107748031616, 'learning_rate': 4.238309352517986e-05, 'epoch': 1.54} -{'loss': 0.4548, 'grad_norm': 2.562629222869873, 'learning_rate': 4.2374100719424464e-05, 'epoch': 1.54} -{'loss': 0.4505, 'grad_norm': 2.486976385116577, 'learning_rate': 4.236510791366907e-05, 'epoch': 1.54} -{'loss': 0.4509, 'grad_norm': 2.2040247917175293, 'learning_rate': 4.235611510791367e-05, 'epoch': 1.54} - 16%|███████████████████▋ | 870/5570 [13:51<1:03:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45409223437309265, 'eval_runtime': 1.5478, 'eval_samples_per_second': 465.17, 'eval_steps_per_second': 3.876, 'epoch': 1.54} -{'loss': 0.4533, 'grad_norm': 2.4702134132385254, 'learning_rate': 4.2347122302158275e-05, 'epoch': 1.55} -{'loss': 0.4505, 'grad_norm': 1.5955761671066284, 'learning_rate': 4.233812949640288e-05, 'epoch': 1.55} -{'loss': 0.4529, 'grad_norm': 1.3522764444351196, 'learning_rate': 4.232913669064748e-05, 'epoch': 1.55} -{'loss': 0.4429, 'grad_norm': 1.3074077367782593, 'learning_rate': 4.232014388489209e-05, 'epoch': 1.55} -{'loss': 0.4453, 'grad_norm': 0.851618766784668, 'learning_rate': 4.231115107913669e-05, 'epoch': 1.55} -{'loss': 0.459, 'grad_norm': 2.1840269565582275, 'learning_rate': 4.23021582733813e-05, 'epoch': 1.55} -{'loss': 0.4694, 'grad_norm': 1.9761459827423096, 'learning_rate': 4.22931654676259e-05, 'epoch': 1.56} -{'loss': 0.4584, 'grad_norm': 1.846405267715454, 'learning_rate': 4.228417266187051e-05, 'epoch': 1.56} -{'loss': 0.4678, 'grad_norm': 1.4040284156799316, 'learning_rate': 4.227517985611511e-05, 'epoch': 1.56} -{'loss': 0.4621, 'grad_norm': 1.7631866931915283, 'learning_rate': 4.226618705035971e-05, 'epoch': 1.56} - 16%|███████████████████▉ | 880/5570 [14:00<1:03:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45134836435317993, 'eval_runtime': 1.5251, 'eval_samples_per_second': 472.088, 'eval_steps_per_second': 3.934, 'epoch': 1.56} -{'loss': 0.4634, 'grad_norm': 2.095402240753174, 'learning_rate': 4.225719424460432e-05, 'epoch': 1.56} -{'loss': 0.4617, 'grad_norm': 2.4671247005462646, 'learning_rate': 4.2248201438848925e-05, 'epoch': 1.57} -{'loss': 0.4616, 'grad_norm': 2.227827548980713, 'learning_rate': 4.223920863309353e-05, 'epoch': 1.57} -{'loss': 0.4448, 'grad_norm': 1.907161831855774, 'learning_rate': 4.223021582733813e-05, 'epoch': 1.57} -{'loss': 0.4512, 'grad_norm': 2.538522958755493, 'learning_rate': 4.2221223021582736e-05, 'epoch': 1.57} -{'loss': 0.4494, 'grad_norm': 2.0610103607177734, 'learning_rate': 4.221223021582734e-05, 'epoch': 1.57} -{'loss': 0.4658, 'grad_norm': 3.2956106662750244, 'learning_rate': 4.2203237410071944e-05, 'epoch': 1.57} -{'loss': 0.4501, 'grad_norm': 1.7878704071044922, 'learning_rate': 4.219424460431655e-05, 'epoch': 1.58} -{'loss': 0.4578, 'grad_norm': 1.3537155389785767, 'learning_rate': 4.218525179856115e-05, 'epoch': 1.58} -{'loss': 0.458, 'grad_norm': 2.225827217102051, 'learning_rate': 4.2176258992805755e-05, 'epoch': 1.58} - 16%|████████████████████▏ | 890/5570 [14:10<1:03:06, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45525792241096497, 'eval_runtime': 1.5233, 'eval_samples_per_second': 472.667, 'eval_steps_per_second': 3.939, 'epoch': 1.58} -{'loss': 0.4622, 'grad_norm': 2.5621986389160156, 'learning_rate': 4.2167266187050366e-05, 'epoch': 1.58} -{'loss': 0.4623, 'grad_norm': 2.8471274375915527, 'learning_rate': 4.215827338129496e-05, 'epoch': 1.58} -{'loss': 0.4488, 'grad_norm': 2.0336201190948486, 'learning_rate': 4.214928057553957e-05, 'epoch': 1.59} -{'loss': 0.4707, 'grad_norm': 2.232517719268799, 'learning_rate': 4.214028776978418e-05, 'epoch': 1.59} -{'loss': 0.4557, 'grad_norm': 2.422163963317871, 'learning_rate': 4.2131294964028775e-05, 'epoch': 1.59} -{'loss': 0.4666, 'grad_norm': 3.25250506401062, 'learning_rate': 4.2122302158273385e-05, 'epoch': 1.59} -{'loss': 0.466, 'grad_norm': 2.5135421752929688, 'learning_rate': 4.211330935251799e-05, 'epoch': 1.59} -{'loss': 0.4472, 'grad_norm': 1.5023914575576782, 'learning_rate': 4.210431654676259e-05, 'epoch': 1.59} -{'loss': 0.4461, 'grad_norm': 1.87221097946167, 'learning_rate': 4.20953237410072e-05, 'epoch': 1.6} -{'loss': 0.4409, 'grad_norm': 1.3367478847503662, 'learning_rate': 4.20863309352518e-05, 'epoch': 1.6} - 16%|████████████████████▎ | 900/5570 [14:19<1:03:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45079752802848816, 'eval_runtime': 1.5152, 'eval_samples_per_second': 475.2, 'eval_steps_per_second': 3.96, 'epoch': 1.6} -{'loss': 0.4533, 'grad_norm': 1.427600383758545, 'learning_rate': 4.2077338129496405e-05, 'epoch': 1.6} -{'loss': 0.4589, 'grad_norm': 2.4584949016571045, 'learning_rate': 4.206834532374101e-05, 'epoch': 1.6} -{'loss': 0.4449, 'grad_norm': 1.2606514692306519, 'learning_rate': 4.205935251798561e-05, 'epoch': 1.6} -{'loss': 0.4414, 'grad_norm': 2.247879981994629, 'learning_rate': 4.205035971223022e-05, 'epoch': 1.61} -{'loss': 0.4549, 'grad_norm': 1.6363475322723389, 'learning_rate': 4.204136690647482e-05, 'epoch': 1.61} -{'loss': 0.4548, 'grad_norm': 1.9616245031356812, 'learning_rate': 4.2032374100719424e-05, 'epoch': 1.61} -{'loss': 0.4458, 'grad_norm': 1.426558017730713, 'learning_rate': 4.2023381294964034e-05, 'epoch': 1.61} -{'loss': 0.4541, 'grad_norm': 0.9564318060874939, 'learning_rate': 4.201438848920863e-05, 'epoch': 1.61} -{'loss': 0.4535, 'grad_norm': 1.9667325019836426, 'learning_rate': 4.200539568345324e-05, 'epoch': 1.61} -{'loss': 0.4407, 'grad_norm': 0.9781171083450317, 'learning_rate': 4.1996402877697846e-05, 'epoch': 1.62} - 16%|████████████████████▌ | 910/5570 [14:29<1:03:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45303887128829956, 'eval_runtime': 1.527, 'eval_samples_per_second': 471.515, 'eval_steps_per_second': 3.929, 'epoch': 1.62} -{'loss': 0.4534, 'grad_norm': 1.6768665313720703, 'learning_rate': 4.198741007194244e-05, 'epoch': 1.62} -{'loss': 0.4509, 'grad_norm': 2.126316785812378, 'learning_rate': 4.1978417266187054e-05, 'epoch': 1.62} -{'loss': 0.448, 'grad_norm': 1.331838607788086, 'learning_rate': 4.196942446043166e-05, 'epoch': 1.62} -{'loss': 0.4559, 'grad_norm': 2.1008641719818115, 'learning_rate': 4.196043165467626e-05, 'epoch': 1.62} -{'loss': 0.4632, 'grad_norm': 3.1774065494537354, 'learning_rate': 4.1951438848920865e-05, 'epoch': 1.62} -{'loss': 0.4609, 'grad_norm': 1.9448864459991455, 'learning_rate': 4.194244604316547e-05, 'epoch': 1.63} -{'loss': 0.4623, 'grad_norm': 1.865645408630371, 'learning_rate': 4.193345323741007e-05, 'epoch': 1.63} -{'loss': 0.465, 'grad_norm': 3.50386643409729, 'learning_rate': 4.192446043165468e-05, 'epoch': 1.63} -{'loss': 0.4652, 'grad_norm': 2.7640812397003174, 'learning_rate': 4.191546762589929e-05, 'epoch': 1.63} -{'loss': 0.4607, 'grad_norm': 1.4494181871414185, 'learning_rate': 4.1906474820143885e-05, 'epoch': 1.63} - 17%|████████████████████▊ | 920/5570 [14:38<1:02:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45410245656967163, 'eval_runtime': 1.5304, 'eval_samples_per_second': 470.473, 'eval_steps_per_second': 3.921, 'epoch': 1.63} -{'loss': 0.4672, 'grad_norm': 2.739447832107544, 'learning_rate': 4.189748201438849e-05, 'epoch': 1.64} -{'loss': 0.4609, 'grad_norm': 2.05692195892334, 'learning_rate': 4.18884892086331e-05, 'epoch': 1.64} -{'loss': 0.4546, 'grad_norm': 1.7732093334197998, 'learning_rate': 4.1879496402877696e-05, 'epoch': 1.64} -{'loss': 0.455, 'grad_norm': 1.4493904113769531, 'learning_rate': 4.18705035971223e-05, 'epoch': 1.64} -{'loss': 0.4455, 'grad_norm': 1.9899836778640747, 'learning_rate': 4.186151079136691e-05, 'epoch': 1.64} -{'loss': 0.4624, 'grad_norm': 1.7123072147369385, 'learning_rate': 4.1852517985611514e-05, 'epoch': 1.64} -{'loss': 0.447, 'grad_norm': 1.1413719654083252, 'learning_rate': 4.184352517985612e-05, 'epoch': 1.65} -{'loss': 0.4578, 'grad_norm': 1.5344599485397339, 'learning_rate': 4.183453237410072e-05, 'epoch': 1.65} -{'loss': 0.4515, 'grad_norm': 1.319392442703247, 'learning_rate': 4.1825539568345326e-05, 'epoch': 1.65} -{'loss': 0.4575, 'grad_norm': 2.3260397911071777, 'learning_rate': 4.181654676258993e-05, 'epoch': 1.65} - 17%|█████████████████████ | 930/5570 [14:48<1:03:15, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4522956311702728, 'eval_runtime': 1.5233, 'eval_samples_per_second': 472.656, 'eval_steps_per_second': 3.939, 'epoch': 1.65} -{'loss': 0.4486, 'grad_norm': 1.4568679332733154, 'learning_rate': 4.1807553956834534e-05, 'epoch': 1.65} -{'loss': 0.4515, 'grad_norm': 2.383880615234375, 'learning_rate': 4.179856115107914e-05, 'epoch': 1.66} -{'loss': 0.4505, 'grad_norm': 1.1399784088134766, 'learning_rate': 4.178956834532374e-05, 'epoch': 1.66} -{'loss': 0.4523, 'grad_norm': 1.9564183950424194, 'learning_rate': 4.1780575539568345e-05, 'epoch': 1.66} -{'loss': 0.4531, 'grad_norm': 2.581620931625366, 'learning_rate': 4.1771582733812956e-05, 'epoch': 1.66} -{'loss': 0.4493, 'grad_norm': 2.280794143676758, 'learning_rate': 4.176258992805755e-05, 'epoch': 1.66} -{'loss': 0.4527, 'grad_norm': 1.9459056854248047, 'learning_rate': 4.1753597122302164e-05, 'epoch': 1.66} -{'loss': 0.4542, 'grad_norm': 2.1289565563201904, 'learning_rate': 4.174460431654677e-05, 'epoch': 1.67} -{'loss': 0.4488, 'grad_norm': 2.835358142852783, 'learning_rate': 4.1735611510791365e-05, 'epoch': 1.67} -{'loss': 0.4538, 'grad_norm': 1.2816416025161743, 'learning_rate': 4.1726618705035975e-05, 'epoch': 1.67} - 17%|█████████████████████▎ | 940/5570 [14:57<1:02:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45437759160995483, 'eval_runtime': 1.5452, 'eval_samples_per_second': 465.961, 'eval_steps_per_second': 3.883, 'epoch': 1.67} -{'loss': 0.4618, 'grad_norm': 2.721991539001465, 'learning_rate': 4.171762589928058e-05, 'epoch': 1.67} -{'loss': 0.4651, 'grad_norm': 4.210990905761719, 'learning_rate': 4.170863309352518e-05, 'epoch': 1.67} -{'loss': 0.4489, 'grad_norm': 2.113093614578247, 'learning_rate': 4.169964028776979e-05, 'epoch': 1.68} -{'loss': 0.4572, 'grad_norm': 1.9614158868789673, 'learning_rate': 4.169064748201439e-05, 'epoch': 1.68} -{'loss': 0.459, 'grad_norm': 1.1216942071914673, 'learning_rate': 4.1681654676258994e-05, 'epoch': 1.68} -{'loss': 0.4502, 'grad_norm': 2.05029559135437, 'learning_rate': 4.16726618705036e-05, 'epoch': 1.68} -{'loss': 0.4528, 'grad_norm': 1.4140068292617798, 'learning_rate': 4.16636690647482e-05, 'epoch': 1.68} -{'loss': 0.4512, 'grad_norm': 2.273176908493042, 'learning_rate': 4.1654676258992806e-05, 'epoch': 1.68} -{'loss': 0.4599, 'grad_norm': 1.9672749042510986, 'learning_rate': 4.164568345323741e-05, 'epoch': 1.69} -{'loss': 0.4406, 'grad_norm': 2.169020175933838, 'learning_rate': 4.163669064748202e-05, 'epoch': 1.69} - 17%|█████████████████████▍ | 950/5570 [15:07<1:02:52, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4485786557197571, 'eval_runtime': 1.5206, 'eval_samples_per_second': 473.485, 'eval_steps_per_second': 3.946, 'epoch': 1.69} -{'loss': 0.4589, 'grad_norm': 1.8120452165603638, 'learning_rate': 4.162769784172662e-05, 'epoch': 1.69} -{'loss': 0.4534, 'grad_norm': 3.14616322517395, 'learning_rate': 4.161870503597122e-05, 'epoch': 1.69} -{'loss': 0.4609, 'grad_norm': 2.004843235015869, 'learning_rate': 4.160971223021583e-05, 'epoch': 1.69} -{'loss': 0.4525, 'grad_norm': 2.5952584743499756, 'learning_rate': 4.1600719424460436e-05, 'epoch': 1.69} -{'loss': 0.4551, 'grad_norm': 2.597770929336548, 'learning_rate': 4.159172661870504e-05, 'epoch': 1.7} -{'loss': 0.4566, 'grad_norm': 1.9033199548721313, 'learning_rate': 4.1582733812949644e-05, 'epoch': 1.7} -{'loss': 0.4519, 'grad_norm': 0.829746425151825, 'learning_rate': 4.157374100719425e-05, 'epoch': 1.7} -{'loss': 0.4453, 'grad_norm': 2.666581630706787, 'learning_rate': 4.156474820143885e-05, 'epoch': 1.7} -{'loss': 0.4552, 'grad_norm': 2.318665027618408, 'learning_rate': 4.1555755395683455e-05, 'epoch': 1.7} -{'loss': 0.4493, 'grad_norm': 1.6134986877441406, 'learning_rate': 4.154676258992806e-05, 'epoch': 1.71} - 17%|█████████████████████▋ | 960/5570 [15:17<1:02:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4495386481285095, 'eval_runtime': 1.5565, 'eval_samples_per_second': 462.587, 'eval_steps_per_second': 3.855, 'epoch': 1.71} -{'loss': 0.4544, 'grad_norm': 1.255967140197754, 'learning_rate': 4.153776978417266e-05, 'epoch': 1.71} -{'loss': 0.4535, 'grad_norm': 2.029022693634033, 'learning_rate': 4.152877697841727e-05, 'epoch': 1.71} -{'loss': 0.4609, 'grad_norm': 1.766339898109436, 'learning_rate': 4.151978417266188e-05, 'epoch': 1.71} -{'loss': 0.457, 'grad_norm': 2.1871960163116455, 'learning_rate': 4.1510791366906474e-05, 'epoch': 1.71} -{'loss': 0.4518, 'grad_norm': 2.032200813293457, 'learning_rate': 4.150179856115108e-05, 'epoch': 1.71} -{'loss': 0.4495, 'grad_norm': 3.2941770553588867, 'learning_rate': 4.149280575539569e-05, 'epoch': 1.72} -{'loss': 0.4552, 'grad_norm': 1.297298550605774, 'learning_rate': 4.1483812949640286e-05, 'epoch': 1.72} -{'loss': 0.4452, 'grad_norm': 2.901036262512207, 'learning_rate': 4.14748201438849e-05, 'epoch': 1.72} -{'loss': 0.4427, 'grad_norm': 1.6445575952529907, 'learning_rate': 4.14658273381295e-05, 'epoch': 1.72} -{'loss': 0.4481, 'grad_norm': 2.844170331954956, 'learning_rate': 4.14568345323741e-05, 'epoch': 1.72} - 17%|█████████████████████▉ | 970/5570 [15:26<1:01:45, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45526614785194397, 'eval_runtime': 1.5327, 'eval_samples_per_second': 469.754, 'eval_steps_per_second': 3.915, 'epoch': 1.72} -{'loss': 0.4548, 'grad_norm': 2.5221431255340576, 'learning_rate': 4.144784172661871e-05, 'epoch': 1.73} -{'loss': 0.4572, 'grad_norm': 2.000473737716675, 'learning_rate': 4.143884892086331e-05, 'epoch': 1.73} -{'loss': 0.454, 'grad_norm': 1.6224048137664795, 'learning_rate': 4.1429856115107916e-05, 'epoch': 1.73} -{'loss': 0.4517, 'grad_norm': 2.0882303714752197, 'learning_rate': 4.142086330935252e-05, 'epoch': 1.73} -{'loss': 0.4498, 'grad_norm': 1.5355195999145508, 'learning_rate': 4.1411870503597124e-05, 'epoch': 1.73} -{'loss': 0.4583, 'grad_norm': 2.249234676361084, 'learning_rate': 4.140287769784173e-05, 'epoch': 1.73} -{'loss': 0.4657, 'grad_norm': 2.0993645191192627, 'learning_rate': 4.139388489208633e-05, 'epoch': 1.74} -{'loss': 0.4443, 'grad_norm': 1.3356754779815674, 'learning_rate': 4.138489208633094e-05, 'epoch': 1.74} -{'loss': 0.4626, 'grad_norm': 3.262927293777466, 'learning_rate': 4.137589928057554e-05, 'epoch': 1.74} -{'loss': 0.4644, 'grad_norm': 3.45205020904541, 'learning_rate': 4.136690647482014e-05, 'epoch': 1.74} - 18%|██████████████████████▏ | 980/5570 [15:36<1:02:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45522719621658325, 'eval_runtime': 1.5296, 'eval_samples_per_second': 470.725, 'eval_steps_per_second': 3.923, 'epoch': 1.74} -{'loss': 0.4497, 'grad_norm': 2.06097674369812, 'learning_rate': 4.1357913669064754e-05, 'epoch': 1.74} -{'loss': 0.4652, 'grad_norm': 3.2780826091766357, 'learning_rate': 4.134892086330935e-05, 'epoch': 1.75} -{'loss': 0.4628, 'grad_norm': 3.286768913269043, 'learning_rate': 4.133992805755396e-05, 'epoch': 1.75} -{'loss': 0.4641, 'grad_norm': 3.415215253829956, 'learning_rate': 4.1330935251798565e-05, 'epoch': 1.75} -{'loss': 0.4553, 'grad_norm': 1.6773256063461304, 'learning_rate': 4.132194244604317e-05, 'epoch': 1.75} -{'loss': 0.4478, 'grad_norm': 1.2412868738174438, 'learning_rate': 4.131294964028777e-05, 'epoch': 1.75} -{'loss': 0.4611, 'grad_norm': 3.213226079940796, 'learning_rate': 4.130395683453238e-05, 'epoch': 1.75} -{'loss': 0.4549, 'grad_norm': 3.026102066040039, 'learning_rate': 4.129496402877698e-05, 'epoch': 1.76} -{'loss': 0.4586, 'grad_norm': 2.676241874694824, 'learning_rate': 4.1285971223021584e-05, 'epoch': 1.76} -{'loss': 0.4602, 'grad_norm': 1.5822932720184326, 'learning_rate': 4.127697841726619e-05, 'epoch': 1.76} - 18%|██████████████████████▍ | 990/5570 [15:45<1:01:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4560861885547638, 'eval_runtime': 1.53, 'eval_samples_per_second': 470.583, 'eval_steps_per_second': 3.922, 'epoch': 1.76} -{'loss': 0.4651, 'grad_norm': 2.672938823699951, 'learning_rate': 4.126798561151079e-05, 'epoch': 1.76} -{'loss': 0.4559, 'grad_norm': 1.9571765661239624, 'learning_rate': 4.1258992805755396e-05, 'epoch': 1.76} -{'loss': 0.4511, 'grad_norm': 1.5361074209213257, 'learning_rate': 4.125e-05, 'epoch': 1.76} -{'loss': 0.4439, 'grad_norm': 1.5650339126586914, 'learning_rate': 4.124100719424461e-05, 'epoch': 1.77} -{'loss': 0.4526, 'grad_norm': 1.9448645114898682, 'learning_rate': 4.123201438848921e-05, 'epoch': 1.77} -{'loss': 0.4372, 'grad_norm': 1.712762475013733, 'learning_rate': 4.122302158273382e-05, 'epoch': 1.77} -{'loss': 0.4476, 'grad_norm': 0.924894392490387, 'learning_rate': 4.121402877697842e-05, 'epoch': 1.77} -{'loss': 0.4526, 'grad_norm': 1.5701472759246826, 'learning_rate': 4.120503597122302e-05, 'epoch': 1.77} -{'loss': 0.4546, 'grad_norm': 2.136537551879883, 'learning_rate': 4.119604316546763e-05, 'epoch': 1.78} -{'loss': 0.4522, 'grad_norm': 1.4938498735427856, 'learning_rate': 4.1187050359712234e-05, 'epoch': 1.78} - 18%|██████████████████████▍ | 1000/5570 [15:55<1:02:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45360463857650757, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.319, 'eval_steps_per_second': 3.936, 'epoch': 1.78} -{'loss': 0.4571, 'grad_norm': 3.036085605621338, 'learning_rate': 4.117805755395684e-05, 'epoch': 1.78} -{'loss': 0.4472, 'grad_norm': 2.403658390045166, 'learning_rate': 4.116906474820144e-05, 'epoch': 1.78} -{'loss': 0.455, 'grad_norm': 1.5184998512268066, 'learning_rate': 4.1160071942446045e-05, 'epoch': 1.78} -{'loss': 0.4552, 'grad_norm': 3.9786853790283203, 'learning_rate': 4.115107913669065e-05, 'epoch': 1.78} -{'loss': 0.451, 'grad_norm': 2.6793854236602783, 'learning_rate': 4.114208633093525e-05, 'epoch': 1.79} -{'loss': 0.4565, 'grad_norm': 1.751791000366211, 'learning_rate': 4.113309352517986e-05, 'epoch': 1.79} -{'loss': 0.4622, 'grad_norm': 2.0878498554229736, 'learning_rate': 4.112410071942446e-05, 'epoch': 1.79} -{'loss': 0.4583, 'grad_norm': 2.6153335571289062, 'learning_rate': 4.1115107913669064e-05, 'epoch': 1.79} -{'loss': 0.4568, 'grad_norm': 2.1784746646881104, 'learning_rate': 4.1106115107913675e-05, 'epoch': 1.79} -{'loss': 0.4445, 'grad_norm': 1.6175216436386108, 'learning_rate': 4.109712230215827e-05, 'epoch': 1.8} - 18%|██████████████████████▋ | 1010/5570 [16:04<1:01:31, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4460838735103607, 'eval_runtime': 1.5288, 'eval_samples_per_second': 470.961, 'eval_steps_per_second': 3.925, 'epoch': 1.8} -{'loss': 0.4445, 'grad_norm': 1.4643974304199219, 'learning_rate': 4.1088129496402876e-05, 'epoch': 1.8} -{'loss': 0.4489, 'grad_norm': 2.138231039047241, 'learning_rate': 4.1079136690647487e-05, 'epoch': 1.8} -{'loss': 0.4588, 'grad_norm': 2.1562204360961914, 'learning_rate': 4.107014388489209e-05, 'epoch': 1.8} -{'loss': 0.4575, 'grad_norm': 2.2833383083343506, 'learning_rate': 4.1061151079136694e-05, 'epoch': 1.8} -{'loss': 0.4484, 'grad_norm': 1.865751028060913, 'learning_rate': 4.10521582733813e-05, 'epoch': 1.8} -{'loss': 0.4477, 'grad_norm': 1.232193946838379, 'learning_rate': 4.10431654676259e-05, 'epoch': 1.81} -{'loss': 0.4556, 'grad_norm': 2.617100477218628, 'learning_rate': 4.1034172661870506e-05, 'epoch': 1.81} -{'loss': 0.448, 'grad_norm': 1.2066948413848877, 'learning_rate': 4.102517985611511e-05, 'epoch': 1.81} -{'loss': 0.4425, 'grad_norm': 1.9408968687057495, 'learning_rate': 4.1016187050359714e-05, 'epoch': 1.81} -{'loss': 0.4552, 'grad_norm': 2.3104536533355713, 'learning_rate': 4.100719424460432e-05, 'epoch': 1.81} - 18%|██████████████████████▉ | 1020/5570 [16:14<1:01:19, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44614699482917786, 'eval_runtime': 1.5194, 'eval_samples_per_second': 473.886, 'eval_steps_per_second': 3.949, 'epoch': 1.81} -{'loss': 0.4477, 'grad_norm': 1.4954949617385864, 'learning_rate': 4.099820143884892e-05, 'epoch': 1.82} -{'loss': 0.4479, 'grad_norm': 3.5470948219299316, 'learning_rate': 4.098920863309353e-05, 'epoch': 1.82} -{'loss': 0.4651, 'grad_norm': 2.165127992630005, 'learning_rate': 4.098021582733813e-05, 'epoch': 1.82} -{'loss': 0.4531, 'grad_norm': 1.710778832435608, 'learning_rate': 4.097122302158273e-05, 'epoch': 1.82} -{'loss': 0.4472, 'grad_norm': 1.303310513496399, 'learning_rate': 4.0962230215827343e-05, 'epoch': 1.82} -{'loss': 0.4518, 'grad_norm': 1.299544334411621, 'learning_rate': 4.095323741007194e-05, 'epoch': 1.82} -{'loss': 0.4611, 'grad_norm': 2.4574079513549805, 'learning_rate': 4.094424460431655e-05, 'epoch': 1.83} -{'loss': 0.4432, 'grad_norm': 1.7758424282073975, 'learning_rate': 4.0935251798561155e-05, 'epoch': 1.83} -{'loss': 0.4522, 'grad_norm': 1.2616322040557861, 'learning_rate': 4.092625899280575e-05, 'epoch': 1.83} -{'loss': 0.4482, 'grad_norm': 1.8892749547958374, 'learning_rate': 4.091726618705036e-05, 'epoch': 1.83} - 18%|███████████████████████ | 1030/5570 [16:23<1:01:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44905099272727966, 'eval_runtime': 1.5232, 'eval_samples_per_second': 472.68, 'eval_steps_per_second': 3.939, 'epoch': 1.83} -{'loss': 0.4629, 'grad_norm': 3.2250654697418213, 'learning_rate': 4.0908273381294967e-05, 'epoch': 1.83} -{'loss': 0.4557, 'grad_norm': 2.8043344020843506, 'learning_rate': 4.089928057553957e-05, 'epoch': 1.83} -{'loss': 0.4415, 'grad_norm': 2.5768277645111084, 'learning_rate': 4.0890287769784174e-05, 'epoch': 1.84} -{'loss': 0.45, 'grad_norm': 2.3631694316864014, 'learning_rate': 4.088129496402878e-05, 'epoch': 1.84} -{'loss': 0.4482, 'grad_norm': 1.1604540348052979, 'learning_rate': 4.087230215827338e-05, 'epoch': 1.84} -{'loss': 0.4486, 'grad_norm': 2.004373788833618, 'learning_rate': 4.0863309352517986e-05, 'epoch': 1.84} -{'loss': 0.4427, 'grad_norm': 2.579355239868164, 'learning_rate': 4.0854316546762596e-05, 'epoch': 1.84} -{'loss': 0.4465, 'grad_norm': 2.7427074909210205, 'learning_rate': 4.0845323741007194e-05, 'epoch': 1.85} -{'loss': 0.4509, 'grad_norm': 2.185033082962036, 'learning_rate': 4.08363309352518e-05, 'epoch': 1.85} -{'loss': 0.4533, 'grad_norm': 1.7858195304870605, 'learning_rate': 4.082733812949641e-05, 'epoch': 1.85} - 19%|███████████████████████▎ | 1040/5570 [16:33<1:01:06, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4477536976337433, 'eval_runtime': 1.5246, 'eval_samples_per_second': 472.27, 'eval_steps_per_second': 3.936, 'epoch': 1.85} -{'loss': 0.458, 'grad_norm': 2.3450729846954346, 'learning_rate': 4.081834532374101e-05, 'epoch': 1.85} -{'loss': 0.4378, 'grad_norm': 1.6887403726577759, 'learning_rate': 4.0809352517985616e-05, 'epoch': 1.85} -{'loss': 0.4497, 'grad_norm': 2.041858196258545, 'learning_rate': 4.080035971223022e-05, 'epoch': 1.85} -{'loss': 0.4595, 'grad_norm': 2.14404559135437, 'learning_rate': 4.0791366906474823e-05, 'epoch': 1.86} -{'loss': 0.45, 'grad_norm': 2.335242509841919, 'learning_rate': 4.078237410071943e-05, 'epoch': 1.86} -{'loss': 0.4577, 'grad_norm': 3.4769949913024902, 'learning_rate': 4.077338129496403e-05, 'epoch': 1.86} -{'loss': 0.4577, 'grad_norm': 4.116263389587402, 'learning_rate': 4.0764388489208635e-05, 'epoch': 1.86} -{'loss': 0.453, 'grad_norm': 1.19806969165802, 'learning_rate': 4.075539568345324e-05, 'epoch': 1.86} -{'loss': 0.461, 'grad_norm': 3.552833080291748, 'learning_rate': 4.074640287769784e-05, 'epoch': 1.87} -{'loss': 0.456, 'grad_norm': 2.758333921432495, 'learning_rate': 4.073741007194245e-05, 'epoch': 1.87} - 19%|███████████████████████▌ | 1050/5570 [16:42<1:01:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4505176544189453, 'eval_runtime': 1.528, 'eval_samples_per_second': 471.211, 'eval_steps_per_second': 3.927, 'epoch': 1.87} -{'loss': 0.449, 'grad_norm': 1.2539461851119995, 'learning_rate': 4.072841726618705e-05, 'epoch': 1.87} -{'loss': 0.4495, 'grad_norm': 2.3216376304626465, 'learning_rate': 4.0719424460431654e-05, 'epoch': 1.87} -{'loss': 0.4479, 'grad_norm': 1.8400605916976929, 'learning_rate': 4.0710431654676265e-05, 'epoch': 1.87} -{'loss': 0.45, 'grad_norm': 1.8098182678222656, 'learning_rate': 4.070143884892086e-05, 'epoch': 1.87} -{'loss': 0.4656, 'grad_norm': 2.118359088897705, 'learning_rate': 4.069244604316547e-05, 'epoch': 1.88} -{'loss': 0.4502, 'grad_norm': 2.539571523666382, 'learning_rate': 4.0683453237410076e-05, 'epoch': 1.88} -{'loss': 0.4523, 'grad_norm': 2.3189926147460938, 'learning_rate': 4.0674460431654674e-05, 'epoch': 1.88} -{'loss': 0.4484, 'grad_norm': 1.4229011535644531, 'learning_rate': 4.0665467625899284e-05, 'epoch': 1.88} -{'loss': 0.4554, 'grad_norm': 2.140197277069092, 'learning_rate': 4.065647482014389e-05, 'epoch': 1.88} -{'loss': 0.4467, 'grad_norm': 1.4661238193511963, 'learning_rate': 4.064748201438849e-05, 'epoch': 1.89} - 19%|███████████████████████▊ | 1060/5570 [16:52<1:01:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44511306285858154, 'eval_runtime': 1.5118, 'eval_samples_per_second': 476.242, 'eval_steps_per_second': 3.969, 'epoch': 1.89} -{'loss': 0.4526, 'grad_norm': 1.0232843160629272, 'learning_rate': 4.0638489208633096e-05, 'epoch': 1.89} -{'loss': 0.4539, 'grad_norm': 1.740070104598999, 'learning_rate': 4.06294964028777e-05, 'epoch': 1.89} -{'loss': 0.4518, 'grad_norm': 1.6034973859786987, 'learning_rate': 4.0620503597122303e-05, 'epoch': 1.89} -{'loss': 0.4587, 'grad_norm': 1.813920021057129, 'learning_rate': 4.061151079136691e-05, 'epoch': 1.89} -{'loss': 0.452, 'grad_norm': 1.7656437158584595, 'learning_rate': 4.060251798561151e-05, 'epoch': 1.89} -{'loss': 0.449, 'grad_norm': 2.7480814456939697, 'learning_rate': 4.0593525179856115e-05, 'epoch': 1.9} -{'loss': 0.4517, 'grad_norm': 1.4639053344726562, 'learning_rate': 4.058453237410072e-05, 'epoch': 1.9} -{'loss': 0.4536, 'grad_norm': 1.3854787349700928, 'learning_rate': 4.057553956834533e-05, 'epoch': 1.9} -{'loss': 0.4458, 'grad_norm': 2.340881824493408, 'learning_rate': 4.0566546762589927e-05, 'epoch': 1.9} -{'loss': 0.4503, 'grad_norm': 2.1429104804992676, 'learning_rate': 4.055755395683453e-05, 'epoch': 1.9} - 19%|████████████████████████ | 1070/5570 [17:01<1:00:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44827744364738464, 'eval_runtime': 1.522, 'eval_samples_per_second': 473.07, 'eval_steps_per_second': 3.942, 'epoch': 1.9} -{'loss': 0.4502, 'grad_norm': 2.191892147064209, 'learning_rate': 4.054856115107914e-05, 'epoch': 1.9} -{'loss': 0.4473, 'grad_norm': 3.271496295928955, 'learning_rate': 4.0539568345323745e-05, 'epoch': 1.91} -{'loss': 0.4454, 'grad_norm': 1.8693549633026123, 'learning_rate': 4.053057553956835e-05, 'epoch': 1.91} -{'loss': 0.4413, 'grad_norm': 2.657959461212158, 'learning_rate': 4.052158273381295e-05, 'epoch': 1.91} -{'loss': 0.4542, 'grad_norm': 1.6817699670791626, 'learning_rate': 4.0512589928057556e-05, 'epoch': 1.91} -{'loss': 0.4605, 'grad_norm': 2.2620339393615723, 'learning_rate': 4.050359712230216e-05, 'epoch': 1.91} -{'loss': 0.457, 'grad_norm': 2.2979159355163574, 'learning_rate': 4.0494604316546764e-05, 'epoch': 1.92} -{'loss': 0.4459, 'grad_norm': 1.692319393157959, 'learning_rate': 4.048561151079137e-05, 'epoch': 1.92} -{'loss': 0.4487, 'grad_norm': 1.7282359600067139, 'learning_rate': 4.047661870503597e-05, 'epoch': 1.92} -{'loss': 0.4495, 'grad_norm': 1.7606850862503052, 'learning_rate': 4.0467625899280576e-05, 'epoch': 1.92} - 19%|████████████████████████▏ | 1080/5570 [17:11<1:01:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44655176997184753, 'eval_runtime': 1.5156, 'eval_samples_per_second': 475.047, 'eval_steps_per_second': 3.959, 'epoch': 1.92} -{'loss': 0.4495, 'grad_norm': 3.073695659637451, 'learning_rate': 4.0458633093525186e-05, 'epoch': 1.92} -{'loss': 0.4405, 'grad_norm': 1.3331120014190674, 'learning_rate': 4.0449640287769783e-05, 'epoch': 1.92} -{'loss': 0.449, 'grad_norm': 2.902902126312256, 'learning_rate': 4.044064748201439e-05, 'epoch': 1.93} -{'loss': 0.4496, 'grad_norm': 2.925445556640625, 'learning_rate': 4.0431654676259e-05, 'epoch': 1.93} -{'loss': 0.445, 'grad_norm': 1.4527900218963623, 'learning_rate': 4.0422661870503595e-05, 'epoch': 1.93} -{'loss': 0.4506, 'grad_norm': 2.238414764404297, 'learning_rate': 4.0413669064748206e-05, 'epoch': 1.93} -{'loss': 0.4555, 'grad_norm': 2.7545762062072754, 'learning_rate': 4.040467625899281e-05, 'epoch': 1.93} -{'loss': 0.443, 'grad_norm': 1.6062763929367065, 'learning_rate': 4.0395683453237407e-05, 'epoch': 1.94} -{'loss': 0.4474, 'grad_norm': 1.2524724006652832, 'learning_rate': 4.038669064748202e-05, 'epoch': 1.94} -{'loss': 0.4501, 'grad_norm': 3.9523189067840576, 'learning_rate': 4.037769784172662e-05, 'epoch': 1.94} - 20%|████████████████████████▍ | 1090/5570 [17:21<1:01:04, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44863027334213257, 'eval_runtime': 1.5208, 'eval_samples_per_second': 473.449, 'eval_steps_per_second': 3.945, 'epoch': 1.94} -{'loss': 0.4452, 'grad_norm': 3.11012601852417, 'learning_rate': 4.0368705035971225e-05, 'epoch': 1.94} -{'loss': 0.4545, 'grad_norm': 2.662834644317627, 'learning_rate': 4.035971223021583e-05, 'epoch': 1.94} -{'loss': 0.4438, 'grad_norm': 2.0387725830078125, 'learning_rate': 4.035071942446043e-05, 'epoch': 1.94} -{'loss': 0.4588, 'grad_norm': 3.720560073852539, 'learning_rate': 4.0341726618705036e-05, 'epoch': 1.95} -{'loss': 0.4531, 'grad_norm': 2.2299842834472656, 'learning_rate': 4.033273381294964e-05, 'epoch': 1.95} -{'loss': 0.4543, 'grad_norm': 1.9470030069351196, 'learning_rate': 4.032374100719425e-05, 'epoch': 1.95} -{'loss': 0.4393, 'grad_norm': 4.093310832977295, 'learning_rate': 4.031474820143885e-05, 'epoch': 1.95} -{'loss': 0.4469, 'grad_norm': 1.1672613620758057, 'learning_rate': 4.030575539568345e-05, 'epoch': 1.95} -{'loss': 0.4536, 'grad_norm': 2.0157759189605713, 'learning_rate': 4.029676258992806e-05, 'epoch': 1.96} -{'loss': 0.4614, 'grad_norm': 2.9979054927825928, 'learning_rate': 4.0287769784172666e-05, 'epoch': 1.96} - 20%|████████████████████████▋ | 1100/5570 [17:30<1:00:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4439505338668823, 'eval_runtime': 1.5269, 'eval_samples_per_second': 471.54, 'eval_steps_per_second': 3.929, 'epoch': 1.96} -{'loss': 0.4399, 'grad_norm': 1.4353936910629272, 'learning_rate': 4.027877697841727e-05, 'epoch': 1.96} -{'loss': 0.436, 'grad_norm': 2.313657522201538, 'learning_rate': 4.0269784172661874e-05, 'epoch': 1.96} -{'loss': 0.447, 'grad_norm': 2.6673498153686523, 'learning_rate': 4.026079136690648e-05, 'epoch': 1.96} -{'loss': 0.4484, 'grad_norm': 2.644768714904785, 'learning_rate': 4.025179856115108e-05, 'epoch': 1.96} -{'loss': 0.4425, 'grad_norm': 2.547966718673706, 'learning_rate': 4.0242805755395686e-05, 'epoch': 1.97} -{'loss': 0.4524, 'grad_norm': 2.7763538360595703, 'learning_rate': 4.023381294964029e-05, 'epoch': 1.97} -{'loss': 0.4458, 'grad_norm': 1.9082050323486328, 'learning_rate': 4.022482014388489e-05, 'epoch': 1.97} -{'loss': 0.4496, 'grad_norm': 2.1527159214019775, 'learning_rate': 4.02158273381295e-05, 'epoch': 1.97} -{'loss': 0.4555, 'grad_norm': 2.189305305480957, 'learning_rate': 4.020683453237411e-05, 'epoch': 1.97} -{'loss': 0.4459, 'grad_norm': 2.874131679534912, 'learning_rate': 4.0197841726618705e-05, 'epoch': 1.97} - 20%|████████████████████████▉ | 1110/5570 [17:40<1:00:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4447597861289978, 'eval_runtime': 1.5185, 'eval_samples_per_second': 474.154, 'eval_steps_per_second': 3.951, 'epoch': 1.97} -{'loss': 0.4455, 'grad_norm': 2.911102294921875, 'learning_rate': 4.018884892086331e-05, 'epoch': 1.98} -{'loss': 0.4511, 'grad_norm': 1.6937594413757324, 'learning_rate': 4.017985611510792e-05, 'epoch': 1.98} -{'loss': 0.4401, 'grad_norm': 2.214181423187256, 'learning_rate': 4.0170863309352516e-05, 'epoch': 1.98} -{'loss': 0.4453, 'grad_norm': 3.0460152626037598, 'learning_rate': 4.016187050359713e-05, 'epoch': 1.98} -{'loss': 0.4525, 'grad_norm': 1.4854274988174438, 'learning_rate': 4.015287769784173e-05, 'epoch': 1.98} -{'loss': 0.4571, 'grad_norm': 3.6871724128723145, 'learning_rate': 4.014388489208633e-05, 'epoch': 1.99} -{'loss': 0.4629, 'grad_norm': 3.5302813053131104, 'learning_rate': 4.013489208633094e-05, 'epoch': 1.99} -{'loss': 0.4491, 'grad_norm': 1.3515039682388306, 'learning_rate': 4.012589928057554e-05, 'epoch': 1.99} -{'loss': 0.4435, 'grad_norm': 3.8460004329681396, 'learning_rate': 4.0116906474820146e-05, 'epoch': 1.99} -{'loss': 0.4395, 'grad_norm': 2.0559656620025635, 'learning_rate': 4.010791366906475e-05, 'epoch': 1.99} - 20%|█████████████████████████▌ | 1120/5570 [17:48<58:25, 1.27it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4483526349067688, 'eval_runtime': 1.5338, 'eval_samples_per_second': 469.433, 'eval_steps_per_second': 3.912, 'epoch': 1.99} -{'loss': 0.4436, 'grad_norm': 1.7077877521514893, 'learning_rate': 4.0098920863309354e-05, 'epoch': 1.99} -{'loss': 0.4511, 'grad_norm': 2.6186389923095703, 'learning_rate': 4.008992805755396e-05, 'epoch': 2.0} -{'loss': 0.4475, 'grad_norm': 2.98978328704834, 'learning_rate': 4.008093525179856e-05, 'epoch': 2.0} -{'loss': 0.4525, 'grad_norm': 1.9840868711471558, 'learning_rate': 4.0071942446043166e-05, 'epoch': 2.0} -{'loss': 0.4393, 'grad_norm': 2.057610511779785, 'learning_rate': 4.006294964028777e-05, 'epoch': 2.0} -{'loss': 0.4549, 'grad_norm': 3.828314781188965, 'learning_rate': 4.005395683453237e-05, 'epoch': 2.0} -{'loss': 0.4405, 'grad_norm': 1.8414959907531738, 'learning_rate': 4.0044964028776984e-05, 'epoch': 2.01} -{'loss': 0.4517, 'grad_norm': 2.300346851348877, 'learning_rate': 4.003597122302158e-05, 'epoch': 2.01} -{'loss': 0.447, 'grad_norm': 1.6971626281738281, 'learning_rate': 4.0026978417266185e-05, 'epoch': 2.01} -{'loss': 0.4403, 'grad_norm': 1.3187121152877808, 'learning_rate': 4.0017985611510796e-05, 'epoch': 2.01} - 20%|█████████████████████████▎ | 1130/5570 [17:58<1:00:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44738540053367615, 'eval_runtime': 1.5346, 'eval_samples_per_second': 469.192, 'eval_steps_per_second': 3.91, 'epoch': 2.01} -{'loss': 0.4363, 'grad_norm': 1.9345453977584839, 'learning_rate': 4.00089928057554e-05, 'epoch': 2.01} -{'loss': 0.4509, 'grad_norm': 1.3943179845809937, 'learning_rate': 4e-05, 'epoch': 2.01} -{'loss': 0.4512, 'grad_norm': 2.791051149368286, 'learning_rate': 3.999100719424461e-05, 'epoch': 2.02} -{'loss': 0.4559, 'grad_norm': 2.2655177116394043, 'learning_rate': 3.998201438848921e-05, 'epoch': 2.02} -{'loss': 0.4555, 'grad_norm': 3.3984458446502686, 'learning_rate': 3.9973021582733815e-05, 'epoch': 2.02} -{'loss': 0.449, 'grad_norm': 3.7520956993103027, 'learning_rate': 3.996402877697842e-05, 'epoch': 2.02} -{'loss': 0.4469, 'grad_norm': 1.9541594982147217, 'learning_rate': 3.995503597122303e-05, 'epoch': 2.02} -{'loss': 0.4472, 'grad_norm': 2.9592151641845703, 'learning_rate': 3.9946043165467626e-05, 'epoch': 2.03} -{'loss': 0.4455, 'grad_norm': 2.5539133548736572, 'learning_rate': 3.993705035971223e-05, 'epoch': 2.03} -{'loss': 0.4488, 'grad_norm': 1.7701714038848877, 'learning_rate': 3.992805755395684e-05, 'epoch': 2.03} - 20%|█████████████████████████▌ | 1140/5570 [18:08<1:00:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4462117850780487, 'eval_runtime': 1.5637, 'eval_samples_per_second': 460.449, 'eval_steps_per_second': 3.837, 'epoch': 2.03} -{'loss': 0.4508, 'grad_norm': 1.312540054321289, 'learning_rate': 3.991906474820144e-05, 'epoch': 2.03} -{'loss': 0.444, 'grad_norm': 1.6395128965377808, 'learning_rate': 3.991007194244604e-05, 'epoch': 2.03} -{'loss': 0.4511, 'grad_norm': 2.0343849658966064, 'learning_rate': 3.990107913669065e-05, 'epoch': 2.03} -{'loss': 0.4405, 'grad_norm': 1.0762559175491333, 'learning_rate': 3.989208633093525e-05, 'epoch': 2.04} -{'loss': 0.4392, 'grad_norm': 2.397078275680542, 'learning_rate': 3.988309352517986e-05, 'epoch': 2.04} -{'loss': 0.4498, 'grad_norm': 1.9297630786895752, 'learning_rate': 3.9874100719424464e-05, 'epoch': 2.04} -{'loss': 0.4444, 'grad_norm': 1.4062261581420898, 'learning_rate': 3.986510791366906e-05, 'epoch': 2.04} -{'loss': 0.4491, 'grad_norm': 2.2375199794769287, 'learning_rate': 3.985611510791367e-05, 'epoch': 2.04} -{'loss': 0.4422, 'grad_norm': 1.2742500305175781, 'learning_rate': 3.9847122302158276e-05, 'epoch': 2.04} -{'loss': 0.4426, 'grad_norm': 1.972383737564087, 'learning_rate': 3.983812949640288e-05, 'epoch': 2.05} - 21%|█████████████████████████▊ | 1150/5570 [18:17<1:00:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44776585698127747, 'eval_runtime': 1.5466, 'eval_samples_per_second': 465.54, 'eval_steps_per_second': 3.879, 'epoch': 2.05} -{'loss': 0.4492, 'grad_norm': 1.8724004030227661, 'learning_rate': 3.982913669064748e-05, 'epoch': 2.05} -{'loss': 0.4405, 'grad_norm': 1.5522466897964478, 'learning_rate': 3.982014388489209e-05, 'epoch': 2.05} -{'loss': 0.444, 'grad_norm': 1.6640312671661377, 'learning_rate': 3.981115107913669e-05, 'epoch': 2.05} -{'loss': 0.4546, 'grad_norm': 3.0509889125823975, 'learning_rate': 3.9802158273381295e-05, 'epoch': 2.05} -{'loss': 0.4653, 'grad_norm': 2.213776111602783, 'learning_rate': 3.9793165467625905e-05, 'epoch': 2.06} -{'loss': 0.4515, 'grad_norm': 1.6042864322662354, 'learning_rate': 3.97841726618705e-05, 'epoch': 2.06} -{'loss': 0.4542, 'grad_norm': 2.800281286239624, 'learning_rate': 3.9775179856115106e-05, 'epoch': 2.06} -{'loss': 0.4619, 'grad_norm': 4.312960624694824, 'learning_rate': 3.976618705035972e-05, 'epoch': 2.06} -{'loss': 0.4582, 'grad_norm': 2.497318744659424, 'learning_rate': 3.975719424460432e-05, 'epoch': 2.06} -{'loss': 0.4493, 'grad_norm': 1.5168015956878662, 'learning_rate': 3.9748201438848925e-05, 'epoch': 2.06} - 21%|██████████████████████████▍ | 1160/5570 [18:27<59:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4556571841239929, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.892, 'eval_steps_per_second': 3.916, 'epoch': 2.06} -{'loss': 0.4574, 'grad_norm': 3.889556646347046, 'learning_rate': 3.973920863309353e-05, 'epoch': 2.07} -{'loss': 0.461, 'grad_norm': 4.401047229766846, 'learning_rate': 3.973021582733813e-05, 'epoch': 2.07} -{'loss': 0.4646, 'grad_norm': 3.400233030319214, 'learning_rate': 3.9721223021582736e-05, 'epoch': 2.07} -{'loss': 0.4649, 'grad_norm': 7.9769721031188965, 'learning_rate': 3.971223021582734e-05, 'epoch': 2.07} -{'loss': 0.457, 'grad_norm': 5.949954032897949, 'learning_rate': 3.9703237410071944e-05, 'epoch': 2.07} -{'loss': 0.4615, 'grad_norm': 2.4859039783477783, 'learning_rate': 3.969424460431655e-05, 'epoch': 2.08} -{'loss': 0.4569, 'grad_norm': 3.8160390853881836, 'learning_rate': 3.968525179856115e-05, 'epoch': 2.08} -{'loss': 0.4492, 'grad_norm': 2.8515450954437256, 'learning_rate': 3.967625899280576e-05, 'epoch': 2.08} -{'loss': 0.4464, 'grad_norm': 1.1223593950271606, 'learning_rate': 3.966726618705036e-05, 'epoch': 2.08} -{'loss': 0.434, 'grad_norm': 1.4258263111114502, 'learning_rate': 3.965827338129496e-05, 'epoch': 2.08} - 21%|██████████████████████████▎ | 1170/5570 [18:36<1:00:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.444039911031723, 'eval_runtime': 1.5216, 'eval_samples_per_second': 473.179, 'eval_steps_per_second': 3.943, 'epoch': 2.08} -{'loss': 0.4536, 'grad_norm': 1.396329641342163, 'learning_rate': 3.9649280575539574e-05, 'epoch': 2.08} -{'loss': 0.4435, 'grad_norm': 1.8884671926498413, 'learning_rate': 3.964028776978417e-05, 'epoch': 2.09} -{'loss': 0.4538, 'grad_norm': 1.9929183721542358, 'learning_rate': 3.963129496402878e-05, 'epoch': 2.09} -{'loss': 0.4597, 'grad_norm': 2.133096933364868, 'learning_rate': 3.9622302158273385e-05, 'epoch': 2.09} -{'loss': 0.4503, 'grad_norm': 1.389296054840088, 'learning_rate': 3.961330935251798e-05, 'epoch': 2.09} -{'loss': 0.4534, 'grad_norm': 1.5017197132110596, 'learning_rate': 3.960431654676259e-05, 'epoch': 2.09} -{'loss': 0.4552, 'grad_norm': 2.9175310134887695, 'learning_rate': 3.95953237410072e-05, 'epoch': 2.1} -{'loss': 0.4401, 'grad_norm': 2.0111286640167236, 'learning_rate': 3.95863309352518e-05, 'epoch': 2.1} -{'loss': 0.4474, 'grad_norm': 2.788445472717285, 'learning_rate': 3.9577338129496405e-05, 'epoch': 2.1} -{'loss': 0.4479, 'grad_norm': 1.8995689153671265, 'learning_rate': 3.956834532374101e-05, 'epoch': 2.1} - 21%|██████████████████████████▉ | 1180/5570 [18:46<59:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44711583852767944, 'eval_runtime': 1.5415, 'eval_samples_per_second': 467.063, 'eval_steps_per_second': 3.892, 'epoch': 2.1} -{'loss': 0.4422, 'grad_norm': 1.8990976810455322, 'learning_rate': 3.955935251798561e-05, 'epoch': 2.1} -{'loss': 0.4371, 'grad_norm': 1.364778757095337, 'learning_rate': 3.9550359712230216e-05, 'epoch': 2.1} -{'loss': 0.4543, 'grad_norm': 1.4738224744796753, 'learning_rate': 3.954136690647482e-05, 'epoch': 2.11} -{'loss': 0.4519, 'grad_norm': 2.5269458293914795, 'learning_rate': 3.9532374100719424e-05, 'epoch': 2.11} -{'loss': 0.4494, 'grad_norm': 1.2130075693130493, 'learning_rate': 3.952338129496403e-05, 'epoch': 2.11} -{'loss': 0.45, 'grad_norm': 2.459033489227295, 'learning_rate': 3.951438848920864e-05, 'epoch': 2.11} -{'loss': 0.4527, 'grad_norm': 3.338575601577759, 'learning_rate': 3.950539568345324e-05, 'epoch': 2.11} -{'loss': 0.447, 'grad_norm': 1.1692699193954468, 'learning_rate': 3.949640287769784e-05, 'epoch': 2.11} -{'loss': 0.4543, 'grad_norm': 2.7126476764678955, 'learning_rate': 3.948741007194245e-05, 'epoch': 2.12} -{'loss': 0.4568, 'grad_norm': 2.56976580619812, 'learning_rate': 3.9478417266187054e-05, 'epoch': 2.12} - 21%|███████████████████████████▏ | 1190/5570 [18:55<59:04, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45004114508628845, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.199, 'eval_steps_per_second': 3.91, 'epoch': 2.12} -{'loss': 0.4562, 'grad_norm': 1.7260689735412598, 'learning_rate': 3.946942446043166e-05, 'epoch': 2.12} -{'loss': 0.4433, 'grad_norm': 2.584808588027954, 'learning_rate': 3.946043165467626e-05, 'epoch': 2.12} -{'loss': 0.4506, 'grad_norm': 2.260939121246338, 'learning_rate': 3.9451438848920865e-05, 'epoch': 2.12} -{'loss': 0.4467, 'grad_norm': 1.590638518333435, 'learning_rate': 3.944244604316547e-05, 'epoch': 2.13} -{'loss': 0.464, 'grad_norm': 2.9267795085906982, 'learning_rate': 3.943345323741007e-05, 'epoch': 2.13} -{'loss': 0.4514, 'grad_norm': 2.841815948486328, 'learning_rate': 3.9424460431654684e-05, 'epoch': 2.13} -{'loss': 0.4623, 'grad_norm': 2.8452532291412354, 'learning_rate': 3.941546762589928e-05, 'epoch': 2.13} -{'loss': 0.4456, 'grad_norm': 2.7235095500946045, 'learning_rate': 3.9406474820143885e-05, 'epoch': 2.13} -{'loss': 0.4545, 'grad_norm': 2.0205395221710205, 'learning_rate': 3.9397482014388495e-05, 'epoch': 2.13} -{'loss': 0.4468, 'grad_norm': 1.9987503290176392, 'learning_rate': 3.938848920863309e-05, 'epoch': 2.14} - 22%|███████████████████████████▎ | 1200/5570 [19:05<59:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.451168030500412, 'eval_runtime': 1.5497, 'eval_samples_per_second': 464.607, 'eval_steps_per_second': 3.872, 'epoch': 2.14} -{'loss': 0.4432, 'grad_norm': 2.013974905014038, 'learning_rate': 3.93794964028777e-05, 'epoch': 2.14} -{'loss': 0.446, 'grad_norm': 2.58091402053833, 'learning_rate': 3.937050359712231e-05, 'epoch': 2.14} -{'loss': 0.4367, 'grad_norm': 1.7300729751586914, 'learning_rate': 3.9361510791366904e-05, 'epoch': 2.14} -{'loss': 0.4599, 'grad_norm': 6.660618305206299, 'learning_rate': 3.9352517985611515e-05, 'epoch': 2.14} -{'loss': 0.4752, 'grad_norm': 6.959966659545898, 'learning_rate': 3.934352517985612e-05, 'epoch': 2.15} -{'loss': 0.4594, 'grad_norm': 4.566069602966309, 'learning_rate': 3.9334532374100716e-05, 'epoch': 2.15} -{'loss': 0.4431, 'grad_norm': 3.7059285640716553, 'learning_rate': 3.9325539568345326e-05, 'epoch': 2.15} -{'loss': 0.4507, 'grad_norm': 4.664485931396484, 'learning_rate': 3.931654676258993e-05, 'epoch': 2.15} -{'loss': 0.4489, 'grad_norm': 2.1033036708831787, 'learning_rate': 3.9307553956834534e-05, 'epoch': 2.15} -{'loss': 0.4557, 'grad_norm': 3.7993524074554443, 'learning_rate': 3.929856115107914e-05, 'epoch': 2.15} - 22%|███████████████████████████▌ | 1210/5570 [19:14<59:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4595029950141907, 'eval_runtime': 1.5305, 'eval_samples_per_second': 470.429, 'eval_steps_per_second': 3.92, 'epoch': 2.15} -{'loss': 0.4504, 'grad_norm': 4.449221611022949, 'learning_rate': 3.928956834532374e-05, 'epoch': 2.16} -{'loss': 0.453, 'grad_norm': 3.030041217803955, 'learning_rate': 3.9280575539568345e-05, 'epoch': 2.16} -{'loss': 0.4443, 'grad_norm': 2.2189598083496094, 'learning_rate': 3.927158273381295e-05, 'epoch': 2.16} -{'loss': 0.4483, 'grad_norm': 2.444145441055298, 'learning_rate': 3.926258992805756e-05, 'epoch': 2.16} -{'loss': 0.4466, 'grad_norm': 2.059807062149048, 'learning_rate': 3.925359712230216e-05, 'epoch': 2.16} -{'loss': 0.4623, 'grad_norm': 2.4035425186157227, 'learning_rate': 3.924460431654676e-05, 'epoch': 2.17} -{'loss': 0.4483, 'grad_norm': 1.3466461896896362, 'learning_rate': 3.923561151079137e-05, 'epoch': 2.17} -{'loss': 0.4384, 'grad_norm': 1.669796347618103, 'learning_rate': 3.9226618705035975e-05, 'epoch': 2.17} -{'loss': 0.4383, 'grad_norm': 1.9260905981063843, 'learning_rate': 3.921762589928058e-05, 'epoch': 2.17} -{'loss': 0.4496, 'grad_norm': 1.8986703157424927, 'learning_rate': 3.920863309352518e-05, 'epoch': 2.17} - 22%|███████████████████████████▊ | 1220/5570 [19:24<59:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44460630416870117, 'eval_runtime': 1.5164, 'eval_samples_per_second': 474.801, 'eval_steps_per_second': 3.957, 'epoch': 2.17} -{'loss': 0.4418, 'grad_norm': 2.1952595710754395, 'learning_rate': 3.919964028776979e-05, 'epoch': 2.17} -{'loss': 0.4398, 'grad_norm': 2.033668279647827, 'learning_rate': 3.919064748201439e-05, 'epoch': 2.18} -{'loss': 0.4442, 'grad_norm': 1.837820291519165, 'learning_rate': 3.9181654676258995e-05, 'epoch': 2.18} -{'loss': 0.4411, 'grad_norm': 1.6144596338272095, 'learning_rate': 3.91726618705036e-05, 'epoch': 2.18} -{'loss': 0.4497, 'grad_norm': 2.896177291870117, 'learning_rate': 3.91636690647482e-05, 'epoch': 2.18} -{'loss': 0.444, 'grad_norm': 3.905546188354492, 'learning_rate': 3.9154676258992806e-05, 'epoch': 2.18} -{'loss': 0.4384, 'grad_norm': 2.0008153915405273, 'learning_rate': 3.914568345323742e-05, 'epoch': 2.18} -{'loss': 0.4427, 'grad_norm': 3.042595148086548, 'learning_rate': 3.9136690647482014e-05, 'epoch': 2.19} -{'loss': 0.4452, 'grad_norm': 1.2165374755859375, 'learning_rate': 3.912769784172662e-05, 'epoch': 2.19} -{'loss': 0.4423, 'grad_norm': 2.230861186981201, 'learning_rate': 3.911870503597123e-05, 'epoch': 2.19} - 22%|████████████████████████████ | 1230/5570 [19:34<58:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.445794939994812, 'eval_runtime': 1.5472, 'eval_samples_per_second': 465.36, 'eval_steps_per_second': 3.878, 'epoch': 2.19} -{'loss': 0.443, 'grad_norm': 1.0423859357833862, 'learning_rate': 3.9109712230215825e-05, 'epoch': 2.19} -{'loss': 0.4421, 'grad_norm': 2.280532121658325, 'learning_rate': 3.9100719424460436e-05, 'epoch': 2.19} -{'loss': 0.447, 'grad_norm': 2.1787819862365723, 'learning_rate': 3.909172661870504e-05, 'epoch': 2.2} -{'loss': 0.4379, 'grad_norm': 1.1994134187698364, 'learning_rate': 3.908273381294964e-05, 'epoch': 2.2} -{'loss': 0.4398, 'grad_norm': 2.2609364986419678, 'learning_rate': 3.907374100719425e-05, 'epoch': 2.2} -{'loss': 0.4532, 'grad_norm': 2.7265546321868896, 'learning_rate': 3.906474820143885e-05, 'epoch': 2.2} -{'loss': 0.4479, 'grad_norm': 3.3378071784973145, 'learning_rate': 3.9055755395683455e-05, 'epoch': 2.2} -{'loss': 0.4647, 'grad_norm': 2.4002296924591064, 'learning_rate': 3.904676258992806e-05, 'epoch': 2.2} -{'loss': 0.4583, 'grad_norm': 3.2053980827331543, 'learning_rate': 3.903776978417266e-05, 'epoch': 2.21} -{'loss': 0.4459, 'grad_norm': 2.8704559803009033, 'learning_rate': 3.902877697841727e-05, 'epoch': 2.21} - 22%|████████████████████████████▎ | 1240/5570 [19:43<58:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44927820563316345, 'eval_runtime': 1.5515, 'eval_samples_per_second': 464.077, 'eval_steps_per_second': 3.867, 'epoch': 2.21} -{'loss': 0.4507, 'grad_norm': 4.376566410064697, 'learning_rate': 3.901978417266187e-05, 'epoch': 2.21} -{'loss': 0.4498, 'grad_norm': 2.6929025650024414, 'learning_rate': 3.9010791366906475e-05, 'epoch': 2.21} -{'loss': 0.4414, 'grad_norm': 1.6928458213806152, 'learning_rate': 3.900179856115108e-05, 'epoch': 2.21} -{'loss': 0.4342, 'grad_norm': 1.9014136791229248, 'learning_rate': 3.899280575539568e-05, 'epoch': 2.22} -{'loss': 0.4342, 'grad_norm': 1.065660834312439, 'learning_rate': 3.898381294964029e-05, 'epoch': 2.22} -{'loss': 0.4628, 'grad_norm': 3.662832260131836, 'learning_rate': 3.89748201438849e-05, 'epoch': 2.22} -{'loss': 0.4484, 'grad_norm': 2.0993428230285645, 'learning_rate': 3.8965827338129494e-05, 'epoch': 2.22} -{'loss': 0.4425, 'grad_norm': 2.9569437503814697, 'learning_rate': 3.8956834532374105e-05, 'epoch': 2.22} -{'loss': 0.4569, 'grad_norm': 2.8500001430511475, 'learning_rate': 3.894784172661871e-05, 'epoch': 2.22} -{'loss': 0.44, 'grad_norm': 1.8752905130386353, 'learning_rate': 3.893884892086331e-05, 'epoch': 2.23} - 22%|████████████████████████████▌ | 1250/5570 [19:53<58:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44704076647758484, 'eval_runtime': 1.5395, 'eval_samples_per_second': 467.686, 'eval_steps_per_second': 3.897, 'epoch': 2.23} -{'loss': 0.46, 'grad_norm': 3.904552698135376, 'learning_rate': 3.8929856115107916e-05, 'epoch': 2.23} -{'loss': 0.4439, 'grad_norm': 2.973520517349243, 'learning_rate': 3.892086330935252e-05, 'epoch': 2.23} -{'loss': 0.4422, 'grad_norm': 1.7825382947921753, 'learning_rate': 3.8911870503597124e-05, 'epoch': 2.23} -{'loss': 0.4483, 'grad_norm': 2.263838052749634, 'learning_rate': 3.890287769784173e-05, 'epoch': 2.23} -{'loss': 0.4544, 'grad_norm': 1.9686123132705688, 'learning_rate': 3.889388489208634e-05, 'epoch': 2.24} -{'loss': 0.4469, 'grad_norm': 2.004887580871582, 'learning_rate': 3.8884892086330935e-05, 'epoch': 2.24} -{'loss': 0.4424, 'grad_norm': 1.49204421043396, 'learning_rate': 3.887589928057554e-05, 'epoch': 2.24} -{'loss': 0.4346, 'grad_norm': 2.5338473320007324, 'learning_rate': 3.886690647482015e-05, 'epoch': 2.24} -{'loss': 0.4396, 'grad_norm': 2.251436948776245, 'learning_rate': 3.885791366906475e-05, 'epoch': 2.24} -{'loss': 0.4566, 'grad_norm': 1.9090789556503296, 'learning_rate': 3.884892086330936e-05, 'epoch': 2.24} - 23%|████████████████████████████▋ | 1260/5570 [20:02<58:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4499976634979248, 'eval_runtime': 1.5173, 'eval_samples_per_second': 474.542, 'eval_steps_per_second': 3.955, 'epoch': 2.24} -{'loss': 0.4547, 'grad_norm': 2.4683501720428467, 'learning_rate': 3.883992805755396e-05, 'epoch': 2.25} -{'loss': 0.4653, 'grad_norm': 3.491910219192505, 'learning_rate': 3.883093525179856e-05, 'epoch': 2.25} -{'loss': 0.4507, 'grad_norm': 3.5188703536987305, 'learning_rate': 3.882194244604317e-05, 'epoch': 2.25} -{'loss': 0.4439, 'grad_norm': 1.6876227855682373, 'learning_rate': 3.881294964028777e-05, 'epoch': 2.25} -{'loss': 0.4544, 'grad_norm': 2.4683454036712646, 'learning_rate': 3.880395683453237e-05, 'epoch': 2.25} -{'loss': 0.4386, 'grad_norm': 1.970877766609192, 'learning_rate': 3.879496402877698e-05, 'epoch': 2.25} -{'loss': 0.4459, 'grad_norm': 2.288182020187378, 'learning_rate': 3.8785971223021585e-05, 'epoch': 2.26} -{'loss': 0.4456, 'grad_norm': 1.8804495334625244, 'learning_rate': 3.877697841726619e-05, 'epoch': 2.26} -{'loss': 0.4573, 'grad_norm': 2.1794252395629883, 'learning_rate': 3.876798561151079e-05, 'epoch': 2.26} -{'loss': 0.4467, 'grad_norm': 3.0058727264404297, 'learning_rate': 3.8758992805755396e-05, 'epoch': 2.26} - 23%|████████████████████████████▉ | 1270/5570 [20:12<59:12, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44637587666511536, 'eval_runtime': 1.5183, 'eval_samples_per_second': 474.228, 'eval_steps_per_second': 3.952, 'epoch': 2.26} -{'loss': 0.4495, 'grad_norm': 2.5500707626342773, 'learning_rate': 3.875e-05, 'epoch': 2.26} -{'loss': 0.4531, 'grad_norm': 2.88313364982605, 'learning_rate': 3.8741007194244604e-05, 'epoch': 2.27} -{'loss': 0.4571, 'grad_norm': 2.9228410720825195, 'learning_rate': 3.8732014388489214e-05, 'epoch': 2.27} -{'loss': 0.438, 'grad_norm': 1.8868763446807861, 'learning_rate': 3.872302158273382e-05, 'epoch': 2.27} -{'loss': 0.4497, 'grad_norm': 3.3268163204193115, 'learning_rate': 3.8714028776978415e-05, 'epoch': 2.27} -{'loss': 0.4455, 'grad_norm': 3.797855854034424, 'learning_rate': 3.8705035971223026e-05, 'epoch': 2.27} -{'loss': 0.4329, 'grad_norm': 1.0551800727844238, 'learning_rate': 3.869604316546763e-05, 'epoch': 2.27} -{'loss': 0.46, 'grad_norm': 2.4056198596954346, 'learning_rate': 3.8687050359712234e-05, 'epoch': 2.28} -{'loss': 0.4482, 'grad_norm': 1.5970406532287598, 'learning_rate': 3.867805755395684e-05, 'epoch': 2.28} -{'loss': 0.4457, 'grad_norm': 1.3934630155563354, 'learning_rate': 3.866906474820144e-05, 'epoch': 2.28} - 23%|█████████████████████████████▏ | 1280/5570 [20:22<58:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4400251507759094, 'eval_runtime': 1.5486, 'eval_samples_per_second': 464.938, 'eval_steps_per_second': 3.874, 'epoch': 2.28} -{'loss': 0.4439, 'grad_norm': 0.9787663817405701, 'learning_rate': 3.8660071942446045e-05, 'epoch': 2.28} -{'loss': 0.4532, 'grad_norm': 1.7295409440994263, 'learning_rate': 3.865107913669065e-05, 'epoch': 2.28} -{'loss': 0.4368, 'grad_norm': 0.8543612957000732, 'learning_rate': 3.864208633093525e-05, 'epoch': 2.29} -{'loss': 0.4446, 'grad_norm': 2.646212339401245, 'learning_rate': 3.863309352517986e-05, 'epoch': 2.29} -{'loss': 0.4452, 'grad_norm': 2.199176073074341, 'learning_rate': 3.862410071942446e-05, 'epoch': 2.29} -{'loss': 0.4469, 'grad_norm': 2.5891435146331787, 'learning_rate': 3.861510791366907e-05, 'epoch': 2.29} -{'loss': 0.4429, 'grad_norm': 1.1309655904769897, 'learning_rate': 3.860611510791367e-05, 'epoch': 2.29} -{'loss': 0.4502, 'grad_norm': 2.729260206222534, 'learning_rate': 3.859712230215827e-05, 'epoch': 2.29} -{'loss': 0.4515, 'grad_norm': 3.2387397289276123, 'learning_rate': 3.858812949640288e-05, 'epoch': 2.3} -{'loss': 0.4402, 'grad_norm': 1.798630714416504, 'learning_rate': 3.857913669064748e-05, 'epoch': 2.3} - 23%|█████████████████████████████▍ | 1290/5570 [20:31<58:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44355103373527527, 'eval_runtime': 1.5242, 'eval_samples_per_second': 472.367, 'eval_steps_per_second': 3.936, 'epoch': 2.3} -{'loss': 0.4584, 'grad_norm': 2.3931756019592285, 'learning_rate': 3.857014388489209e-05, 'epoch': 2.3} -{'loss': 0.454, 'grad_norm': 1.9818968772888184, 'learning_rate': 3.8561151079136694e-05, 'epoch': 2.3} -{'loss': 0.44, 'grad_norm': 1.0192736387252808, 'learning_rate': 3.855215827338129e-05, 'epoch': 2.3} -{'loss': 0.447, 'grad_norm': 2.5601041316986084, 'learning_rate': 3.85431654676259e-05, 'epoch': 2.31} -{'loss': 0.4388, 'grad_norm': 2.4470715522766113, 'learning_rate': 3.8534172661870506e-05, 'epoch': 2.31} -{'loss': 0.4444, 'grad_norm': 2.120983600616455, 'learning_rate': 3.852517985611511e-05, 'epoch': 2.31} -{'loss': 0.4467, 'grad_norm': 1.3848600387573242, 'learning_rate': 3.8516187050359714e-05, 'epoch': 2.31} -{'loss': 0.4428, 'grad_norm': 1.6314754486083984, 'learning_rate': 3.850719424460432e-05, 'epoch': 2.31} -{'loss': 0.44, 'grad_norm': 1.4706801176071167, 'learning_rate': 3.849820143884892e-05, 'epoch': 2.31} -{'loss': 0.4489, 'grad_norm': 2.0167298316955566, 'learning_rate': 3.8489208633093525e-05, 'epoch': 2.32} - 23%|█████████████████████████████▋ | 1300/5570 [20:41<57:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4422965943813324, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.721, 'eval_steps_per_second': 3.939, 'epoch': 2.32} -{'loss': 0.4382, 'grad_norm': 1.7653558254241943, 'learning_rate': 3.848021582733813e-05, 'epoch': 2.32} -{'loss': 0.4447, 'grad_norm': 2.310755729675293, 'learning_rate': 3.847122302158273e-05, 'epoch': 2.32} -{'loss': 0.4309, 'grad_norm': 2.0633888244628906, 'learning_rate': 3.846223021582734e-05, 'epoch': 2.32} -{'loss': 0.4447, 'grad_norm': 2.875413656234741, 'learning_rate': 3.845323741007195e-05, 'epoch': 2.32} -{'loss': 0.442, 'grad_norm': 2.1172685623168945, 'learning_rate': 3.844424460431655e-05, 'epoch': 2.32} -{'loss': 0.4503, 'grad_norm': 3.0308778285980225, 'learning_rate': 3.843525179856115e-05, 'epoch': 2.33} -{'loss': 0.4454, 'grad_norm': 2.7600650787353516, 'learning_rate': 3.842625899280576e-05, 'epoch': 2.33} -{'loss': 0.4481, 'grad_norm': 1.5397142171859741, 'learning_rate': 3.841726618705036e-05, 'epoch': 2.33} -{'loss': 0.4415, 'grad_norm': 1.685097098350525, 'learning_rate': 3.840827338129497e-05, 'epoch': 2.33} -{'loss': 0.438, 'grad_norm': 2.4645884037017822, 'learning_rate': 3.839928057553957e-05, 'epoch': 2.33} - 24%|█████████████████████████████▊ | 1310/5570 [20:50<58:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44127917289733887, 'eval_runtime': 1.5179, 'eval_samples_per_second': 474.35, 'eval_steps_per_second': 3.953, 'epoch': 2.33} -{'loss': 0.446, 'grad_norm': 2.4897239208221436, 'learning_rate': 3.8390287769784174e-05, 'epoch': 2.34} -{'loss': 0.444, 'grad_norm': 1.9763072729110718, 'learning_rate': 3.838129496402878e-05, 'epoch': 2.34} -{'loss': 0.4427, 'grad_norm': 3.513124704360962, 'learning_rate': 3.837230215827338e-05, 'epoch': 2.34} -{'loss': 0.4353, 'grad_norm': 1.1694302558898926, 'learning_rate': 3.836330935251799e-05, 'epoch': 2.34} -{'loss': 0.447, 'grad_norm': 3.8302762508392334, 'learning_rate': 3.835431654676259e-05, 'epoch': 2.34} -{'loss': 0.457, 'grad_norm': 3.0862836837768555, 'learning_rate': 3.8345323741007194e-05, 'epoch': 2.34} -{'loss': 0.4554, 'grad_norm': 4.438838005065918, 'learning_rate': 3.8336330935251804e-05, 'epoch': 2.35} -{'loss': 0.4436, 'grad_norm': 2.3457539081573486, 'learning_rate': 3.83273381294964e-05, 'epoch': 2.35} -{'loss': 0.4463, 'grad_norm': 3.378715753555298, 'learning_rate': 3.831834532374101e-05, 'epoch': 2.35} -{'loss': 0.4509, 'grad_norm': 4.513173580169678, 'learning_rate': 3.8309352517985616e-05, 'epoch': 2.35} - 24%|██████████████████████████████ | 1320/5570 [21:00<57:35, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.446489542722702, 'eval_runtime': 1.5296, 'eval_samples_per_second': 470.697, 'eval_steps_per_second': 3.922, 'epoch': 2.35} -{'loss': 0.4479, 'grad_norm': 2.6048295497894287, 'learning_rate': 3.830035971223021e-05, 'epoch': 2.35} -{'loss': 0.4526, 'grad_norm': 3.542479991912842, 'learning_rate': 3.8291366906474824e-05, 'epoch': 2.36} -{'loss': 0.4405, 'grad_norm': 3.1393604278564453, 'learning_rate': 3.828237410071943e-05, 'epoch': 2.36} -{'loss': 0.4561, 'grad_norm': 3.2561302185058594, 'learning_rate': 3.827338129496403e-05, 'epoch': 2.36} -{'loss': 0.451, 'grad_norm': 3.07800555229187, 'learning_rate': 3.8264388489208635e-05, 'epoch': 2.36} -{'loss': 0.438, 'grad_norm': 1.7032824754714966, 'learning_rate': 3.825539568345324e-05, 'epoch': 2.36} -{'loss': 0.4527, 'grad_norm': 3.964970350265503, 'learning_rate': 3.824640287769784e-05, 'epoch': 2.36} -{'loss': 0.445, 'grad_norm': 5.4508748054504395, 'learning_rate': 3.823741007194245e-05, 'epoch': 2.37} -{'loss': 0.4555, 'grad_norm': 2.9064412117004395, 'learning_rate': 3.822841726618705e-05, 'epoch': 2.37} -{'loss': 0.4481, 'grad_norm': 2.1348495483398438, 'learning_rate': 3.8219424460431654e-05, 'epoch': 2.37} - 24%|██████████████████████████████▎ | 1330/5570 [21:09<57:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.442979097366333, 'eval_runtime': 1.5189, 'eval_samples_per_second': 474.036, 'eval_steps_per_second': 3.95, 'epoch': 2.37} -{'loss': 0.4503, 'grad_norm': 2.4073917865753174, 'learning_rate': 3.821043165467626e-05, 'epoch': 2.37} -{'loss': 0.4497, 'grad_norm': 2.4581122398376465, 'learning_rate': 3.820143884892087e-05, 'epoch': 2.37} -{'loss': 0.4461, 'grad_norm': 1.7405996322631836, 'learning_rate': 3.819244604316547e-05, 'epoch': 2.38} -{'loss': 0.4548, 'grad_norm': 2.608544111251831, 'learning_rate': 3.818345323741007e-05, 'epoch': 2.38} -{'loss': 0.4427, 'grad_norm': 1.7493693828582764, 'learning_rate': 3.817446043165468e-05, 'epoch': 2.38} -{'loss': 0.4368, 'grad_norm': 1.3442732095718384, 'learning_rate': 3.8165467625899284e-05, 'epoch': 2.38} -{'loss': 0.4523, 'grad_norm': 3.698502779006958, 'learning_rate': 3.815647482014389e-05, 'epoch': 2.38} -{'loss': 0.4618, 'grad_norm': 2.725198984146118, 'learning_rate': 3.814748201438849e-05, 'epoch': 2.38} -{'loss': 0.447, 'grad_norm': 1.892333984375, 'learning_rate': 3.8138489208633096e-05, 'epoch': 2.39} -{'loss': 0.4487, 'grad_norm': 2.8755857944488525, 'learning_rate': 3.81294964028777e-05, 'epoch': 2.39} - 24%|██████████████████████████████▌ | 1340/5570 [21:19<57:09, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4429233968257904, 'eval_runtime': 1.5189, 'eval_samples_per_second': 474.025, 'eval_steps_per_second': 3.95, 'epoch': 2.39} -{'loss': 0.4526, 'grad_norm': 2.4825613498687744, 'learning_rate': 3.8120503597122304e-05, 'epoch': 2.39} -{'loss': 0.4417, 'grad_norm': 2.06241512298584, 'learning_rate': 3.811151079136691e-05, 'epoch': 2.39} -{'loss': 0.4493, 'grad_norm': 2.760150194168091, 'learning_rate': 3.810251798561151e-05, 'epoch': 2.39} -{'loss': 0.4317, 'grad_norm': 1.3853583335876465, 'learning_rate': 3.8093525179856115e-05, 'epoch': 2.39} -{'loss': 0.4503, 'grad_norm': 2.642077922821045, 'learning_rate': 3.8084532374100726e-05, 'epoch': 2.4} -{'loss': 0.4551, 'grad_norm': 3.237459659576416, 'learning_rate': 3.807553956834532e-05, 'epoch': 2.4} -{'loss': 0.4487, 'grad_norm': 2.4489450454711914, 'learning_rate': 3.806654676258993e-05, 'epoch': 2.4} -{'loss': 0.438, 'grad_norm': 2.498502016067505, 'learning_rate': 3.805755395683454e-05, 'epoch': 2.4} -{'loss': 0.449, 'grad_norm': 2.5780177116394043, 'learning_rate': 3.8048561151079135e-05, 'epoch': 2.4} -{'loss': 0.4438, 'grad_norm': 1.9358593225479126, 'learning_rate': 3.8039568345323745e-05, 'epoch': 2.41} - 24%|██████████████████████████████▊ | 1350/5570 [21:28<57:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44275444746017456, 'eval_runtime': 1.5313, 'eval_samples_per_second': 470.199, 'eval_steps_per_second': 3.918, 'epoch': 2.41} -{'loss': 0.4427, 'grad_norm': 1.9067113399505615, 'learning_rate': 3.803057553956835e-05, 'epoch': 2.41} -{'loss': 0.4408, 'grad_norm': 3.4346187114715576, 'learning_rate': 3.8021582733812946e-05, 'epoch': 2.41} -{'loss': 0.4385, 'grad_norm': 2.0770411491394043, 'learning_rate': 3.801258992805756e-05, 'epoch': 2.41} -{'loss': 0.4546, 'grad_norm': 3.8696844577789307, 'learning_rate': 3.800359712230216e-05, 'epoch': 2.41} -{'loss': 0.4461, 'grad_norm': 1.9804407358169556, 'learning_rate': 3.7994604316546764e-05, 'epoch': 2.41} -{'loss': 0.4447, 'grad_norm': 4.139981746673584, 'learning_rate': 3.798561151079137e-05, 'epoch': 2.42} -{'loss': 0.4467, 'grad_norm': 4.384296417236328, 'learning_rate': 3.797661870503597e-05, 'epoch': 2.42} -{'loss': 0.4478, 'grad_norm': 1.9115139245986938, 'learning_rate': 3.7967625899280576e-05, 'epoch': 2.42} -{'loss': 0.4342, 'grad_norm': 1.6302416324615479, 'learning_rate': 3.795863309352518e-05, 'epoch': 2.42} -{'loss': 0.4467, 'grad_norm': 2.010925769805908, 'learning_rate': 3.794964028776979e-05, 'epoch': 2.42} - 24%|███████████████████████████████ | 1360/5570 [21:38<56:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44314703345298767, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.046, 'eval_steps_per_second': 3.934, 'epoch': 2.42} -{'loss': 0.4459, 'grad_norm': 3.537169933319092, 'learning_rate': 3.794064748201439e-05, 'epoch': 2.43} -{'loss': 0.4414, 'grad_norm': 2.6403939723968506, 'learning_rate': 3.793165467625899e-05, 'epoch': 2.43} -{'loss': 0.4452, 'grad_norm': 2.007284641265869, 'learning_rate': 3.79226618705036e-05, 'epoch': 2.43} -{'loss': 0.4469, 'grad_norm': 1.7937983274459839, 'learning_rate': 3.7913669064748206e-05, 'epoch': 2.43} -{'loss': 0.4424, 'grad_norm': 1.5976554155349731, 'learning_rate': 3.79046762589928e-05, 'epoch': 2.43} -{'loss': 0.4487, 'grad_norm': 3.555253744125366, 'learning_rate': 3.7895683453237414e-05, 'epoch': 2.43} -{'loss': 0.4485, 'grad_norm': 2.4587209224700928, 'learning_rate': 3.788669064748202e-05, 'epoch': 2.44} -{'loss': 0.4377, 'grad_norm': 3.018512010574341, 'learning_rate': 3.787769784172662e-05, 'epoch': 2.44} -{'loss': 0.4518, 'grad_norm': 4.032766819000244, 'learning_rate': 3.7868705035971225e-05, 'epoch': 2.44} -{'loss': 0.4429, 'grad_norm': 2.989328622817993, 'learning_rate': 3.785971223021583e-05, 'epoch': 2.44} - 25%|███████████████████████████████▏ | 1370/5570 [21:47<57:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44928961992263794, 'eval_runtime': 1.5236, 'eval_samples_per_second': 472.578, 'eval_steps_per_second': 3.938, 'epoch': 2.44} -{'loss': 0.4593, 'grad_norm': 4.900629043579102, 'learning_rate': 3.785071942446043e-05, 'epoch': 2.44} -{'loss': 0.4612, 'grad_norm': 5.448642730712891, 'learning_rate': 3.784172661870504e-05, 'epoch': 2.45} -{'loss': 0.4494, 'grad_norm': 2.510737180709839, 'learning_rate': 3.783273381294965e-05, 'epoch': 2.45} -{'loss': 0.4432, 'grad_norm': 1.5462901592254639, 'learning_rate': 3.7823741007194244e-05, 'epoch': 2.45} -{'loss': 0.442, 'grad_norm': 2.175046920776367, 'learning_rate': 3.781474820143885e-05, 'epoch': 2.45} -{'loss': 0.4466, 'grad_norm': 2.811694860458374, 'learning_rate': 3.780575539568346e-05, 'epoch': 2.45} -{'loss': 0.4453, 'grad_norm': 2.6857481002807617, 'learning_rate': 3.7796762589928056e-05, 'epoch': 2.45} -{'loss': 0.4548, 'grad_norm': 2.351907968521118, 'learning_rate': 3.7787769784172667e-05, 'epoch': 2.46} -{'loss': 0.4501, 'grad_norm': 1.5842461585998535, 'learning_rate': 3.777877697841727e-05, 'epoch': 2.46} -{'loss': 0.4417, 'grad_norm': 2.226123571395874, 'learning_rate': 3.776978417266187e-05, 'epoch': 2.46} - 25%|███████████████████████████████▍ | 1380/5570 [21:57<56:44, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43916159868240356, 'eval_runtime': 1.5254, 'eval_samples_per_second': 471.996, 'eval_steps_per_second': 3.933, 'epoch': 2.46} -{'loss': 0.4479, 'grad_norm': 1.0821349620819092, 'learning_rate': 3.776079136690648e-05, 'epoch': 2.46} -{'loss': 0.4306, 'grad_norm': 1.8598817586898804, 'learning_rate': 3.775179856115108e-05, 'epoch': 2.46} -{'loss': 0.4458, 'grad_norm': 2.6038224697113037, 'learning_rate': 3.7742805755395686e-05, 'epoch': 2.46} -{'loss': 0.4331, 'grad_norm': 2.0847585201263428, 'learning_rate': 3.773381294964029e-05, 'epoch': 2.47} -{'loss': 0.4402, 'grad_norm': 1.236785650253296, 'learning_rate': 3.7724820143884894e-05, 'epoch': 2.47} -{'loss': 0.4368, 'grad_norm': 2.1721975803375244, 'learning_rate': 3.77158273381295e-05, 'epoch': 2.47} -{'loss': 0.4438, 'grad_norm': 3.115915298461914, 'learning_rate': 3.77068345323741e-05, 'epoch': 2.47} -{'loss': 0.4506, 'grad_norm': 2.1218152046203613, 'learning_rate': 3.7697841726618705e-05, 'epoch': 2.47} -{'loss': 0.447, 'grad_norm': 2.5648484230041504, 'learning_rate': 3.768884892086331e-05, 'epoch': 2.48} -{'loss': 0.4456, 'grad_norm': 2.8819289207458496, 'learning_rate': 3.767985611510791e-05, 'epoch': 2.48} - 25%|███████████████████████████████▋ | 1390/5570 [22:06<56:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44203871488571167, 'eval_runtime': 1.5172, 'eval_samples_per_second': 474.564, 'eval_steps_per_second': 3.955, 'epoch': 2.48} -{'loss': 0.4487, 'grad_norm': 2.0067265033721924, 'learning_rate': 3.7670863309352523e-05, 'epoch': 2.48} -{'loss': 0.4408, 'grad_norm': 3.2457380294799805, 'learning_rate': 3.766187050359713e-05, 'epoch': 2.48} -{'loss': 0.4443, 'grad_norm': 2.2314887046813965, 'learning_rate': 3.7652877697841724e-05, 'epoch': 2.48} -{'loss': 0.446, 'grad_norm': 2.414447784423828, 'learning_rate': 3.7643884892086335e-05, 'epoch': 2.48} -{'loss': 0.4479, 'grad_norm': 2.9284934997558594, 'learning_rate': 3.763489208633094e-05, 'epoch': 2.49} -{'loss': 0.4427, 'grad_norm': 2.66365385055542, 'learning_rate': 3.762589928057554e-05, 'epoch': 2.49} -{'loss': 0.4442, 'grad_norm': 1.7091718912124634, 'learning_rate': 3.7616906474820147e-05, 'epoch': 2.49} -{'loss': 0.4411, 'grad_norm': 2.543907880783081, 'learning_rate': 3.760791366906475e-05, 'epoch': 2.49} -{'loss': 0.4399, 'grad_norm': 1.7243975400924683, 'learning_rate': 3.7598920863309354e-05, 'epoch': 2.49} -{'loss': 0.447, 'grad_norm': 2.2609386444091797, 'learning_rate': 3.758992805755396e-05, 'epoch': 2.5} - 25%|███████████████████████████████▉ | 1400/5570 [22:16<56:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44273775815963745, 'eval_runtime': 1.5275, 'eval_samples_per_second': 471.364, 'eval_steps_per_second': 3.928, 'epoch': 2.5} -{'loss': 0.4396, 'grad_norm': 2.2064926624298096, 'learning_rate': 3.758093525179856e-05, 'epoch': 2.5} -{'loss': 0.442, 'grad_norm': 1.2984981536865234, 'learning_rate': 3.7571942446043166e-05, 'epoch': 2.5} -{'loss': 0.4444, 'grad_norm': 2.537501096725464, 'learning_rate': 3.756294964028777e-05, 'epoch': 2.5} -{'loss': 0.4488, 'grad_norm': 2.731292963027954, 'learning_rate': 3.755395683453238e-05, 'epoch': 2.5} -{'loss': 0.4452, 'grad_norm': 1.9208754301071167, 'learning_rate': 3.754496402877698e-05, 'epoch': 2.5} -{'loss': 0.4403, 'grad_norm': 1.9977456331253052, 'learning_rate': 3.753597122302158e-05, 'epoch': 2.51} -{'loss': 0.4441, 'grad_norm': 2.3170664310455322, 'learning_rate': 3.752697841726619e-05, 'epoch': 2.51} -{'loss': 0.4512, 'grad_norm': 1.8401254415512085, 'learning_rate': 3.751798561151079e-05, 'epoch': 2.51} -{'loss': 0.4412, 'grad_norm': 1.5551056861877441, 'learning_rate': 3.75089928057554e-05, 'epoch': 2.51} -{'loss': 0.4358, 'grad_norm': 1.8236116170883179, 'learning_rate': 3.7500000000000003e-05, 'epoch': 2.51} - 25%|████████████████████████████████▏ | 1410/5570 [22:26<56:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44012880325317383, 'eval_runtime': 1.5158, 'eval_samples_per_second': 474.984, 'eval_steps_per_second': 3.958, 'epoch': 2.51} -{'loss': 0.4373, 'grad_norm': 2.11077880859375, 'learning_rate': 3.74910071942446e-05, 'epoch': 2.52} -{'loss': 0.4455, 'grad_norm': 1.269561767578125, 'learning_rate': 3.748201438848921e-05, 'epoch': 2.52} -{'loss': 0.4398, 'grad_norm': 2.8903212547302246, 'learning_rate': 3.7473021582733815e-05, 'epoch': 2.52} -{'loss': 0.4434, 'grad_norm': 2.6233294010162354, 'learning_rate': 3.746402877697842e-05, 'epoch': 2.52} -{'loss': 0.4382, 'grad_norm': 2.3522980213165283, 'learning_rate': 3.745503597122302e-05, 'epoch': 2.52} -{'loss': 0.4624, 'grad_norm': 3.1246821880340576, 'learning_rate': 3.744604316546763e-05, 'epoch': 2.52} -{'loss': 0.4557, 'grad_norm': 2.0490031242370605, 'learning_rate': 3.743705035971223e-05, 'epoch': 2.53} -{'loss': 0.4457, 'grad_norm': 2.9055464267730713, 'learning_rate': 3.7428057553956834e-05, 'epoch': 2.53} -{'loss': 0.4452, 'grad_norm': 3.1147255897521973, 'learning_rate': 3.7419064748201445e-05, 'epoch': 2.53} -{'loss': 0.4563, 'grad_norm': 2.888420343399048, 'learning_rate': 3.741007194244605e-05, 'epoch': 2.53} - 25%|████████████████████████████████▍ | 1420/5570 [22:35<55:42, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4493389427661896, 'eval_runtime': 1.5314, 'eval_samples_per_second': 470.163, 'eval_steps_per_second': 3.918, 'epoch': 2.53} -{'loss': 0.4377, 'grad_norm': 3.1430928707122803, 'learning_rate': 3.7401079136690646e-05, 'epoch': 2.53} -{'loss': 0.4518, 'grad_norm': 3.639913320541382, 'learning_rate': 3.7392086330935257e-05, 'epoch': 2.54} -{'loss': 0.4525, 'grad_norm': 3.339383602142334, 'learning_rate': 3.738309352517986e-05, 'epoch': 2.54} -{'loss': 0.4425, 'grad_norm': 1.7972488403320312, 'learning_rate': 3.737410071942446e-05, 'epoch': 2.54} -{'loss': 0.4517, 'grad_norm': 3.1729354858398438, 'learning_rate': 3.736510791366907e-05, 'epoch': 2.54} -{'loss': 0.458, 'grad_norm': 2.923926830291748, 'learning_rate': 3.735611510791367e-05, 'epoch': 2.54} -{'loss': 0.4413, 'grad_norm': 3.1108264923095703, 'learning_rate': 3.7347122302158276e-05, 'epoch': 2.54} -{'loss': 0.4495, 'grad_norm': 1.5361441373825073, 'learning_rate': 3.733812949640288e-05, 'epoch': 2.55} -{'loss': 0.4602, 'grad_norm': 3.0987727642059326, 'learning_rate': 3.7329136690647483e-05, 'epoch': 2.55} -{'loss': 0.453, 'grad_norm': 1.9022258520126343, 'learning_rate': 3.732014388489209e-05, 'epoch': 2.55} - 26%|████████████████████████████████▌ | 1430/5570 [22:45<56:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4426926374435425, 'eval_runtime': 1.5249, 'eval_samples_per_second': 472.165, 'eval_steps_per_second': 3.935, 'epoch': 2.55} -{'loss': 0.4454, 'grad_norm': 1.5133872032165527, 'learning_rate': 3.731115107913669e-05, 'epoch': 2.55} -{'loss': 0.4504, 'grad_norm': 1.4286842346191406, 'learning_rate': 3.73021582733813e-05, 'epoch': 2.55} -{'loss': 0.4449, 'grad_norm': 2.2560925483703613, 'learning_rate': 3.72931654676259e-05, 'epoch': 2.55} -{'loss': 0.4477, 'grad_norm': 2.7090041637420654, 'learning_rate': 3.72841726618705e-05, 'epoch': 2.56} -{'loss': 0.4288, 'grad_norm': 1.216700792312622, 'learning_rate': 3.7275179856115113e-05, 'epoch': 2.56} -{'loss': 0.4456, 'grad_norm': 1.5570915937423706, 'learning_rate': 3.726618705035971e-05, 'epoch': 2.56} -{'loss': 0.4428, 'grad_norm': 1.8695042133331299, 'learning_rate': 3.725719424460432e-05, 'epoch': 2.56} -{'loss': 0.446, 'grad_norm': 2.6644558906555176, 'learning_rate': 3.7248201438848925e-05, 'epoch': 2.56} -{'loss': 0.4456, 'grad_norm': 2.2676315307617188, 'learning_rate': 3.723920863309352e-05, 'epoch': 2.57} -{'loss': 0.4526, 'grad_norm': 3.2150707244873047, 'learning_rate': 3.723021582733813e-05, 'epoch': 2.57} - 26%|████████████████████████████████▊ | 1440/5570 [22:54<56:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4461359977722168, 'eval_runtime': 1.5374, 'eval_samples_per_second': 468.319, 'eval_steps_per_second': 3.903, 'epoch': 2.57} -{'loss': 0.4492, 'grad_norm': 2.1835975646972656, 'learning_rate': 3.7221223021582737e-05, 'epoch': 2.57} -{'loss': 0.4399, 'grad_norm': 1.3438324928283691, 'learning_rate': 3.721223021582734e-05, 'epoch': 2.57} -{'loss': 0.4409, 'grad_norm': 1.1524555683135986, 'learning_rate': 3.7203237410071944e-05, 'epoch': 2.57} -{'loss': 0.4406, 'grad_norm': 1.1687506437301636, 'learning_rate': 3.719424460431655e-05, 'epoch': 2.57} -{'loss': 0.4437, 'grad_norm': 1.0291038751602173, 'learning_rate': 3.718525179856115e-05, 'epoch': 2.58} -{'loss': 0.4453, 'grad_norm': 2.10699725151062, 'learning_rate': 3.7176258992805756e-05, 'epoch': 2.58} -{'loss': 0.4475, 'grad_norm': 2.555534839630127, 'learning_rate': 3.716726618705036e-05, 'epoch': 2.58} -{'loss': 0.4568, 'grad_norm': 2.990269184112549, 'learning_rate': 3.7158273381294964e-05, 'epoch': 2.58} -{'loss': 0.457, 'grad_norm': 2.8876166343688965, 'learning_rate': 3.714928057553957e-05, 'epoch': 2.58} -{'loss': 0.4505, 'grad_norm': 1.611680507659912, 'learning_rate': 3.714028776978418e-05, 'epoch': 2.59} - 26%|█████████████████████████████████ | 1450/5570 [23:04<55:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44720786809921265, 'eval_runtime': 1.526, 'eval_samples_per_second': 471.821, 'eval_steps_per_second': 3.932, 'epoch': 2.59} -{'loss': 0.4516, 'grad_norm': 2.603144884109497, 'learning_rate': 3.713129496402878e-05, 'epoch': 2.59} -{'loss': 0.4441, 'grad_norm': 1.758929967880249, 'learning_rate': 3.712230215827338e-05, 'epoch': 2.59} -{'loss': 0.4447, 'grad_norm': 4.129321575164795, 'learning_rate': 3.711330935251799e-05, 'epoch': 2.59} -{'loss': 0.4436, 'grad_norm': 3.632223606109619, 'learning_rate': 3.7104316546762593e-05, 'epoch': 2.59} -{'loss': 0.4449, 'grad_norm': 2.4825596809387207, 'learning_rate': 3.70953237410072e-05, 'epoch': 2.59} -{'loss': 0.4459, 'grad_norm': 2.7349016666412354, 'learning_rate': 3.70863309352518e-05, 'epoch': 2.6} -{'loss': 0.45, 'grad_norm': 5.333176136016846, 'learning_rate': 3.7077338129496405e-05, 'epoch': 2.6} -{'loss': 0.4513, 'grad_norm': 2.9114599227905273, 'learning_rate': 3.706834532374101e-05, 'epoch': 2.6} -{'loss': 0.4511, 'grad_norm': 4.255802631378174, 'learning_rate': 3.705935251798561e-05, 'epoch': 2.6} -{'loss': 0.4415, 'grad_norm': 2.029583215713501, 'learning_rate': 3.7050359712230217e-05, 'epoch': 2.6} - 26%|█████████████████████████████████▎ | 1460/5570 [23:13<55:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44459211826324463, 'eval_runtime': 1.5223, 'eval_samples_per_second': 472.961, 'eval_steps_per_second': 3.941, 'epoch': 2.6} -{'loss': 0.4504, 'grad_norm': 1.6314364671707153, 'learning_rate': 3.704136690647482e-05, 'epoch': 2.61} -{'loss': 0.4606, 'grad_norm': 2.520284652709961, 'learning_rate': 3.7032374100719424e-05, 'epoch': 2.61} -{'loss': 0.4468, 'grad_norm': 2.7862532138824463, 'learning_rate': 3.7023381294964035e-05, 'epoch': 2.61} -{'loss': 0.4353, 'grad_norm': 1.2877748012542725, 'learning_rate': 3.701438848920863e-05, 'epoch': 2.61} -{'loss': 0.4386, 'grad_norm': 1.1634578704833984, 'learning_rate': 3.7005395683453236e-05, 'epoch': 2.61} -{'loss': 0.4582, 'grad_norm': 2.770052671432495, 'learning_rate': 3.6996402877697846e-05, 'epoch': 2.61} -{'loss': 0.447, 'grad_norm': 2.464153289794922, 'learning_rate': 3.6987410071942444e-05, 'epoch': 2.62} -{'loss': 0.4509, 'grad_norm': 2.657435655593872, 'learning_rate': 3.6978417266187054e-05, 'epoch': 2.62} -{'loss': 0.452, 'grad_norm': 2.213064193725586, 'learning_rate': 3.696942446043166e-05, 'epoch': 2.62} -{'loss': 0.4438, 'grad_norm': 1.8087877035140991, 'learning_rate': 3.696043165467626e-05, 'epoch': 2.62} - 26%|█████████████████████████████████▌ | 1470/5570 [23:23<55:46, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4468173682689667, 'eval_runtime': 1.5278, 'eval_samples_per_second': 471.256, 'eval_steps_per_second': 3.927, 'epoch': 2.62} -{'loss': 0.4473, 'grad_norm': 2.3083670139312744, 'learning_rate': 3.6951438848920866e-05, 'epoch': 2.62} -{'loss': 0.4583, 'grad_norm': 3.096113920211792, 'learning_rate': 3.694244604316547e-05, 'epoch': 2.62} -{'loss': 0.4426, 'grad_norm': 1.4566768407821655, 'learning_rate': 3.6933453237410073e-05, 'epoch': 2.63} -{'loss': 0.4545, 'grad_norm': 2.9329214096069336, 'learning_rate': 3.692446043165468e-05, 'epoch': 2.63} -{'loss': 0.4432, 'grad_norm': 2.3699588775634766, 'learning_rate': 3.691546762589928e-05, 'epoch': 2.63} -{'loss': 0.4522, 'grad_norm': 2.4811153411865234, 'learning_rate': 3.6906474820143885e-05, 'epoch': 2.63} -{'loss': 0.4447, 'grad_norm': 3.9477198123931885, 'learning_rate': 3.689748201438849e-05, 'epoch': 2.63} -{'loss': 0.4478, 'grad_norm': 2.3632216453552246, 'learning_rate': 3.68884892086331e-05, 'epoch': 2.64} -{'loss': 0.4583, 'grad_norm': 3.683264970779419, 'learning_rate': 3.68794964028777e-05, 'epoch': 2.64} -{'loss': 0.4641, 'grad_norm': 4.035739898681641, 'learning_rate': 3.68705035971223e-05, 'epoch': 2.64} - 27%|█████████████████████████████████▋ | 1480/5570 [23:32<55:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44292712211608887, 'eval_runtime': 1.5178, 'eval_samples_per_second': 474.369, 'eval_steps_per_second': 3.953, 'epoch': 2.64} -{'loss': 0.4424, 'grad_norm': 1.9868733882904053, 'learning_rate': 3.686151079136691e-05, 'epoch': 2.64} -{'loss': 0.4545, 'grad_norm': 2.0605475902557373, 'learning_rate': 3.6852517985611515e-05, 'epoch': 2.64} -{'loss': 0.4554, 'grad_norm': 2.863670587539673, 'learning_rate': 3.684352517985611e-05, 'epoch': 2.64} -{'loss': 0.4402, 'grad_norm': 1.8471333980560303, 'learning_rate': 3.683453237410072e-05, 'epoch': 2.65} -{'loss': 0.436, 'grad_norm': 1.701570987701416, 'learning_rate': 3.6825539568345326e-05, 'epoch': 2.65} -{'loss': 0.4428, 'grad_norm': 1.1828709840774536, 'learning_rate': 3.681654676258993e-05, 'epoch': 2.65} -{'loss': 0.4485, 'grad_norm': 2.1374378204345703, 'learning_rate': 3.6807553956834534e-05, 'epoch': 2.65} -{'loss': 0.438, 'grad_norm': 1.5718854665756226, 'learning_rate': 3.679856115107914e-05, 'epoch': 2.65} -{'loss': 0.4422, 'grad_norm': 1.5592372417449951, 'learning_rate': 3.678956834532374e-05, 'epoch': 2.66} -{'loss': 0.4367, 'grad_norm': 1.3777552843093872, 'learning_rate': 3.6780575539568346e-05, 'epoch': 2.66} - 27%|█████████████████████████████████▉ | 1490/5570 [23:42<55:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4409138858318329, 'eval_runtime': 1.5275, 'eval_samples_per_second': 471.358, 'eval_steps_per_second': 3.928, 'epoch': 2.66} -{'loss': 0.4469, 'grad_norm': 1.6130155324935913, 'learning_rate': 3.6771582733812956e-05, 'epoch': 2.66} -{'loss': 0.4524, 'grad_norm': 2.0221059322357178, 'learning_rate': 3.6762589928057553e-05, 'epoch': 2.66} -{'loss': 0.4593, 'grad_norm': 1.7665354013442993, 'learning_rate': 3.675359712230216e-05, 'epoch': 2.66} -{'loss': 0.4407, 'grad_norm': 0.9720067381858826, 'learning_rate': 3.674460431654677e-05, 'epoch': 2.66} -{'loss': 0.4504, 'grad_norm': 1.5222673416137695, 'learning_rate': 3.6735611510791365e-05, 'epoch': 2.67} -{'loss': 0.4375, 'grad_norm': 1.5091662406921387, 'learning_rate': 3.6726618705035976e-05, 'epoch': 2.67} -{'loss': 0.4437, 'grad_norm': 1.225251317024231, 'learning_rate': 3.671762589928058e-05, 'epoch': 2.67} -{'loss': 0.4337, 'grad_norm': 2.4492924213409424, 'learning_rate': 3.6708633093525177e-05, 'epoch': 2.67} -{'loss': 0.4442, 'grad_norm': 1.5890705585479736, 'learning_rate': 3.669964028776979e-05, 'epoch': 2.67} -{'loss': 0.4442, 'grad_norm': 2.20176362991333, 'learning_rate': 3.669064748201439e-05, 'epoch': 2.68} - 27%|██████████████████████████████████▏ | 1500/5570 [23:51<54:51, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44274893403053284, 'eval_runtime': 1.5276, 'eval_samples_per_second': 471.319, 'eval_steps_per_second': 3.928, 'epoch': 2.68} -{'loss': 0.44, 'grad_norm': 2.9624269008636475, 'learning_rate': 3.6681654676258995e-05, 'epoch': 2.68} -{'loss': 0.4481, 'grad_norm': 1.159002661705017, 'learning_rate': 3.66726618705036e-05, 'epoch': 2.68} -{'loss': 0.4374, 'grad_norm': 3.0410826206207275, 'learning_rate': 3.66636690647482e-05, 'epoch': 2.68} -{'loss': 0.4412, 'grad_norm': 3.242924451828003, 'learning_rate': 3.6654676258992806e-05, 'epoch': 2.68} -{'loss': 0.4528, 'grad_norm': 3.2818715572357178, 'learning_rate': 3.664568345323741e-05, 'epoch': 2.68} -{'loss': 0.4473, 'grad_norm': 2.7511250972747803, 'learning_rate': 3.6636690647482014e-05, 'epoch': 2.69} -{'loss': 0.4382, 'grad_norm': 2.353318929672241, 'learning_rate': 3.6627697841726625e-05, 'epoch': 2.69} -{'loss': 0.4415, 'grad_norm': 1.0810500383377075, 'learning_rate': 3.661870503597122e-05, 'epoch': 2.69} -{'loss': 0.4408, 'grad_norm': 1.332878589630127, 'learning_rate': 3.660971223021583e-05, 'epoch': 2.69} -{'loss': 0.4527, 'grad_norm': 2.2384889125823975, 'learning_rate': 3.6600719424460436e-05, 'epoch': 2.69} - 27%|██████████████████████████████████▍ | 1510/5570 [24:01<55:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4395750164985657, 'eval_runtime': 1.5604, 'eval_samples_per_second': 461.426, 'eval_steps_per_second': 3.845, 'epoch': 2.69} -{'loss': 0.4472, 'grad_norm': 1.9540337324142456, 'learning_rate': 3.6591726618705033e-05, 'epoch': 2.69} -{'loss': 0.441, 'grad_norm': 2.130502223968506, 'learning_rate': 3.6582733812949644e-05, 'epoch': 2.7} -{'loss': 0.4372, 'grad_norm': 2.5654735565185547, 'learning_rate': 3.657374100719425e-05, 'epoch': 2.7} -{'loss': 0.4478, 'grad_norm': 1.5351982116699219, 'learning_rate': 3.656474820143885e-05, 'epoch': 2.7} -{'loss': 0.4494, 'grad_norm': 1.271826982498169, 'learning_rate': 3.6555755395683456e-05, 'epoch': 2.7} -{'loss': 0.4457, 'grad_norm': 3.450937032699585, 'learning_rate': 3.654676258992806e-05, 'epoch': 2.7} -{'loss': 0.4387, 'grad_norm': 2.0204575061798096, 'learning_rate': 3.653776978417266e-05, 'epoch': 2.71} -{'loss': 0.4378, 'grad_norm': 2.8805692195892334, 'learning_rate': 3.652877697841727e-05, 'epoch': 2.71} -{'loss': 0.4455, 'grad_norm': 3.1419143676757812, 'learning_rate': 3.651978417266188e-05, 'epoch': 2.71} -{'loss': 0.4446, 'grad_norm': 3.792165756225586, 'learning_rate': 3.6510791366906475e-05, 'epoch': 2.71} - 27%|██████████████████████████████████▋ | 1520/5570 [24:10<55:11, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44540175795555115, 'eval_runtime': 1.521, 'eval_samples_per_second': 473.367, 'eval_steps_per_second': 3.945, 'epoch': 2.71} -{'loss': 0.4511, 'grad_norm': 3.3887720108032227, 'learning_rate': 3.650179856115108e-05, 'epoch': 2.71} -{'loss': 0.4289, 'grad_norm': 1.9143940210342407, 'learning_rate': 3.649280575539569e-05, 'epoch': 2.71} -{'loss': 0.4376, 'grad_norm': 1.7364094257354736, 'learning_rate': 3.6483812949640286e-05, 'epoch': 2.72} -{'loss': 0.4357, 'grad_norm': 1.1972039937973022, 'learning_rate': 3.647482014388489e-05, 'epoch': 2.72} -{'loss': 0.4474, 'grad_norm': 4.067854404449463, 'learning_rate': 3.64658273381295e-05, 'epoch': 2.72} -{'loss': 0.4552, 'grad_norm': 4.751305103302002, 'learning_rate': 3.64568345323741e-05, 'epoch': 2.72} -{'loss': 0.4538, 'grad_norm': 1.2455315589904785, 'learning_rate': 3.644784172661871e-05, 'epoch': 2.72} -{'loss': 0.4325, 'grad_norm': 3.0911691188812256, 'learning_rate': 3.643884892086331e-05, 'epoch': 2.73} -{'loss': 0.447, 'grad_norm': 1.4784010648727417, 'learning_rate': 3.6429856115107916e-05, 'epoch': 2.73} -{'loss': 0.4387, 'grad_norm': 3.2296106815338135, 'learning_rate': 3.642086330935252e-05, 'epoch': 2.73} - 27%|██████████████████████████████████▉ | 1530/5570 [24:20<55:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43878164887428284, 'eval_runtime': 1.5269, 'eval_samples_per_second': 471.557, 'eval_steps_per_second': 3.93, 'epoch': 2.73} -{'loss': 0.4425, 'grad_norm': 1.192124843597412, 'learning_rate': 3.6411870503597124e-05, 'epoch': 2.73} -{'loss': 0.4506, 'grad_norm': 3.254615545272827, 'learning_rate': 3.640287769784173e-05, 'epoch': 2.73} -{'loss': 0.4563, 'grad_norm': 3.1937522888183594, 'learning_rate': 3.639388489208633e-05, 'epoch': 2.73} -{'loss': 0.4386, 'grad_norm': 2.3496463298797607, 'learning_rate': 3.6384892086330936e-05, 'epoch': 2.74} -{'loss': 0.44, 'grad_norm': 1.5041303634643555, 'learning_rate': 3.637589928057554e-05, 'epoch': 2.74} -{'loss': 0.4431, 'grad_norm': 4.019632816314697, 'learning_rate': 3.636690647482014e-05, 'epoch': 2.74} -{'loss': 0.4579, 'grad_norm': 4.642573356628418, 'learning_rate': 3.6357913669064754e-05, 'epoch': 2.74} -{'loss': 0.4581, 'grad_norm': 3.158839702606201, 'learning_rate': 3.634892086330936e-05, 'epoch': 2.74} -{'loss': 0.445, 'grad_norm': 2.624894857406616, 'learning_rate': 3.6339928057553955e-05, 'epoch': 2.75} -{'loss': 0.4537, 'grad_norm': 2.055748701095581, 'learning_rate': 3.6330935251798566e-05, 'epoch': 2.75} - 28%|███████████████████████████████████ | 1540/5570 [24:30<55:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4457096457481384, 'eval_runtime': 1.5562, 'eval_samples_per_second': 462.668, 'eval_steps_per_second': 3.856, 'epoch': 2.75} -{'loss': 0.4533, 'grad_norm': 2.76570200920105, 'learning_rate': 3.632194244604317e-05, 'epoch': 2.75} -{'loss': 0.4324, 'grad_norm': 1.3022512197494507, 'learning_rate': 3.6312949640287766e-05, 'epoch': 2.75} -{'loss': 0.434, 'grad_norm': 2.00837779045105, 'learning_rate': 3.630395683453238e-05, 'epoch': 2.75} -{'loss': 0.444, 'grad_norm': 1.918347954750061, 'learning_rate': 3.629496402877698e-05, 'epoch': 2.75} -{'loss': 0.4471, 'grad_norm': 2.5900542736053467, 'learning_rate': 3.6285971223021585e-05, 'epoch': 2.76} -{'loss': 0.4435, 'grad_norm': 2.1060984134674072, 'learning_rate': 3.627697841726619e-05, 'epoch': 2.76} -{'loss': 0.4496, 'grad_norm': 3.0812366008758545, 'learning_rate': 3.626798561151079e-05, 'epoch': 2.76} -{'loss': 0.4387, 'grad_norm': 3.5596442222595215, 'learning_rate': 3.6258992805755396e-05, 'epoch': 2.76} -{'loss': 0.4295, 'grad_norm': 1.4877821207046509, 'learning_rate': 3.625e-05, 'epoch': 2.76} -{'loss': 0.4361, 'grad_norm': 3.315659284591675, 'learning_rate': 3.624100719424461e-05, 'epoch': 2.76} - 28%|███████████████████████████████████▎ | 1550/5570 [24:39<54:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4437316060066223, 'eval_runtime': 1.5238, 'eval_samples_per_second': 472.508, 'eval_steps_per_second': 3.938, 'epoch': 2.76} -{'loss': 0.4472, 'grad_norm': 2.943146228790283, 'learning_rate': 3.623201438848921e-05, 'epoch': 2.77} -{'loss': 0.4427, 'grad_norm': 2.8270626068115234, 'learning_rate': 3.622302158273381e-05, 'epoch': 2.77} -{'loss': 0.4381, 'grad_norm': 2.243466854095459, 'learning_rate': 3.621402877697842e-05, 'epoch': 2.77} -{'loss': 0.4474, 'grad_norm': 2.5718283653259277, 'learning_rate': 3.620503597122302e-05, 'epoch': 2.77} -{'loss': 0.4486, 'grad_norm': 2.3854401111602783, 'learning_rate': 3.619604316546763e-05, 'epoch': 2.77} -{'loss': 0.4357, 'grad_norm': 2.148686170578003, 'learning_rate': 3.6187050359712234e-05, 'epoch': 2.78} -{'loss': 0.4517, 'grad_norm': 2.6455461978912354, 'learning_rate': 3.617805755395684e-05, 'epoch': 2.78} -{'loss': 0.4383, 'grad_norm': 1.5725406408309937, 'learning_rate': 3.616906474820144e-05, 'epoch': 2.78} -{'loss': 0.4452, 'grad_norm': 2.364624261856079, 'learning_rate': 3.6160071942446046e-05, 'epoch': 2.78} -{'loss': 0.4465, 'grad_norm': 1.701162338256836, 'learning_rate': 3.615107913669065e-05, 'epoch': 2.78} - 28%|███████████████████████████████████▌ | 1560/5570 [24:49<54:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4384860694408417, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.039, 'eval_steps_per_second': 3.934, 'epoch': 2.78} -{'loss': 0.4379, 'grad_norm': 1.148642897605896, 'learning_rate': 3.614208633093525e-05, 'epoch': 2.78} -{'loss': 0.4392, 'grad_norm': 2.3147990703582764, 'learning_rate': 3.613309352517986e-05, 'epoch': 2.79} -{'loss': 0.4356, 'grad_norm': 1.423334002494812, 'learning_rate': 3.612410071942446e-05, 'epoch': 2.79} -{'loss': 0.4396, 'grad_norm': 3.150125026702881, 'learning_rate': 3.6115107913669065e-05, 'epoch': 2.79} -{'loss': 0.4429, 'grad_norm': 2.718780994415283, 'learning_rate': 3.610611510791367e-05, 'epoch': 2.79} -{'loss': 0.4529, 'grad_norm': 2.9606757164001465, 'learning_rate': 3.609712230215828e-05, 'epoch': 2.79} -{'loss': 0.4488, 'grad_norm': 3.292454957962036, 'learning_rate': 3.6088129496402876e-05, 'epoch': 2.8} -{'loss': 0.441, 'grad_norm': 1.385878324508667, 'learning_rate': 3.607913669064749e-05, 'epoch': 2.8} -{'loss': 0.4468, 'grad_norm': 2.7869532108306885, 'learning_rate': 3.607014388489209e-05, 'epoch': 2.8} -{'loss': 0.4577, 'grad_norm': 2.9909253120422363, 'learning_rate': 3.606115107913669e-05, 'epoch': 2.8} - 28%|███████████████████████████████████▊ | 1570/5570 [24:58<54:14, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4472728371620178, 'eval_runtime': 1.5313, 'eval_samples_per_second': 470.197, 'eval_steps_per_second': 3.918, 'epoch': 2.8} -{'loss': 0.4478, 'grad_norm': 3.745182991027832, 'learning_rate': 3.60521582733813e-05, 'epoch': 2.8} -{'loss': 0.4423, 'grad_norm': 3.197817325592041, 'learning_rate': 3.60431654676259e-05, 'epoch': 2.8} -{'loss': 0.4471, 'grad_norm': 1.7170100212097168, 'learning_rate': 3.6034172661870506e-05, 'epoch': 2.81} -{'loss': 0.4422, 'grad_norm': 3.3737900257110596, 'learning_rate': 3.602517985611511e-05, 'epoch': 2.81} -{'loss': 0.4446, 'grad_norm': 2.2381060123443604, 'learning_rate': 3.6016187050359714e-05, 'epoch': 2.81} -{'loss': 0.4521, 'grad_norm': 3.698899984359741, 'learning_rate': 3.600719424460432e-05, 'epoch': 2.81} -{'loss': 0.4502, 'grad_norm': 3.394554376602173, 'learning_rate': 3.599820143884892e-05, 'epoch': 2.81} -{'loss': 0.4408, 'grad_norm': 0.7462260723114014, 'learning_rate': 3.598920863309353e-05, 'epoch': 2.82} -{'loss': 0.4506, 'grad_norm': 3.640371322631836, 'learning_rate': 3.598021582733813e-05, 'epoch': 2.82} -{'loss': 0.4433, 'grad_norm': 2.1972804069519043, 'learning_rate': 3.597122302158273e-05, 'epoch': 2.82} - 28%|████████████████████████████████████ | 1580/5570 [25:08<54:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44788458943367004, 'eval_runtime': 1.5159, 'eval_samples_per_second': 474.964, 'eval_steps_per_second': 3.958, 'epoch': 2.82} -{'loss': 0.4426, 'grad_norm': 4.504998683929443, 'learning_rate': 3.5962230215827344e-05, 'epoch': 2.82} -{'loss': 0.4437, 'grad_norm': 3.9647717475891113, 'learning_rate': 3.595323741007194e-05, 'epoch': 2.82} -{'loss': 0.4407, 'grad_norm': 1.1896790266036987, 'learning_rate': 3.5944244604316545e-05, 'epoch': 2.82} -{'loss': 0.4429, 'grad_norm': 1.3745125532150269, 'learning_rate': 3.5935251798561155e-05, 'epoch': 2.83} -{'loss': 0.4464, 'grad_norm': 2.6093709468841553, 'learning_rate': 3.592625899280575e-05, 'epoch': 2.83} -{'loss': 0.4415, 'grad_norm': 1.3653700351715088, 'learning_rate': 3.591726618705036e-05, 'epoch': 2.83} -{'loss': 0.4318, 'grad_norm': 1.4129652976989746, 'learning_rate': 3.590827338129497e-05, 'epoch': 2.83} -{'loss': 0.4406, 'grad_norm': 1.2898379564285278, 'learning_rate': 3.589928057553957e-05, 'epoch': 2.83} -{'loss': 0.4378, 'grad_norm': 2.2933778762817383, 'learning_rate': 3.5890287769784175e-05, 'epoch': 2.83} -{'loss': 0.44, 'grad_norm': 2.8336753845214844, 'learning_rate': 3.588129496402878e-05, 'epoch': 2.84} - 29%|████████████████████████████████████▎ | 1590/5570 [25:17<53:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4445461630821228, 'eval_runtime': 1.52, 'eval_samples_per_second': 473.671, 'eval_steps_per_second': 3.947, 'epoch': 2.84} -{'loss': 0.4468, 'grad_norm': 2.656888723373413, 'learning_rate': 3.587230215827338e-05, 'epoch': 2.84} -{'loss': 0.4517, 'grad_norm': 1.6918449401855469, 'learning_rate': 3.5863309352517986e-05, 'epoch': 2.84} -{'loss': 0.4436, 'grad_norm': 2.3072965145111084, 'learning_rate': 3.585431654676259e-05, 'epoch': 2.84} -{'loss': 0.436, 'grad_norm': 1.1290397644042969, 'learning_rate': 3.5845323741007194e-05, 'epoch': 2.84} -{'loss': 0.4471, 'grad_norm': 1.6194777488708496, 'learning_rate': 3.58363309352518e-05, 'epoch': 2.85} -{'loss': 0.4332, 'grad_norm': 2.878821849822998, 'learning_rate': 3.582733812949641e-05, 'epoch': 2.85} -{'loss': 0.4358, 'grad_norm': 2.0520336627960205, 'learning_rate': 3.581834532374101e-05, 'epoch': 2.85} -{'loss': 0.4492, 'grad_norm': 1.9751222133636475, 'learning_rate': 3.580935251798561e-05, 'epoch': 2.85} -{'loss': 0.4445, 'grad_norm': 2.470107316970825, 'learning_rate': 3.580035971223022e-05, 'epoch': 2.85} -{'loss': 0.4491, 'grad_norm': 2.728537082672119, 'learning_rate': 3.5791366906474824e-05, 'epoch': 2.85} - 29%|████████████████████████████████████▍ | 1600/5570 [25:27<53:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4467451274394989, 'eval_runtime': 1.5295, 'eval_samples_per_second': 470.752, 'eval_steps_per_second': 3.923, 'epoch': 2.85} -{'loss': 0.4465, 'grad_norm': 3.6254496574401855, 'learning_rate': 3.578237410071942e-05, 'epoch': 2.86} -{'loss': 0.452, 'grad_norm': 3.9667530059814453, 'learning_rate': 3.577338129496403e-05, 'epoch': 2.86} -{'loss': 0.4438, 'grad_norm': 2.387281656265259, 'learning_rate': 3.5764388489208635e-05, 'epoch': 2.86} -{'loss': 0.4401, 'grad_norm': 2.9904680252075195, 'learning_rate': 3.575539568345324e-05, 'epoch': 2.86} -{'loss': 0.4412, 'grad_norm': 1.4259371757507324, 'learning_rate': 3.574640287769784e-05, 'epoch': 2.86} -{'loss': 0.4523, 'grad_norm': 4.040603160858154, 'learning_rate': 3.573741007194245e-05, 'epoch': 2.87} -{'loss': 0.4489, 'grad_norm': 4.046503067016602, 'learning_rate': 3.572841726618705e-05, 'epoch': 2.87} -{'loss': 0.4398, 'grad_norm': 1.2157890796661377, 'learning_rate': 3.5719424460431655e-05, 'epoch': 2.87} -{'loss': 0.4478, 'grad_norm': 2.397041082382202, 'learning_rate': 3.5710431654676265e-05, 'epoch': 2.87} -{'loss': 0.4484, 'grad_norm': 3.165559768676758, 'learning_rate': 3.570143884892086e-05, 'epoch': 2.87} - 29%|████████████████████████████████████▋ | 1610/5570 [25:36<53:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44281286001205444, 'eval_runtime': 1.5194, 'eval_samples_per_second': 473.886, 'eval_steps_per_second': 3.949, 'epoch': 2.87} -{'loss': 0.4434, 'grad_norm': 1.6293613910675049, 'learning_rate': 3.5692446043165466e-05, 'epoch': 2.87} -{'loss': 0.4454, 'grad_norm': 2.0034127235412598, 'learning_rate': 3.568345323741008e-05, 'epoch': 2.88} -{'loss': 0.4485, 'grad_norm': 1.1841270923614502, 'learning_rate': 3.5674460431654674e-05, 'epoch': 2.88} -{'loss': 0.449, 'grad_norm': 2.0487825870513916, 'learning_rate': 3.5665467625899285e-05, 'epoch': 2.88} -{'loss': 0.4383, 'grad_norm': 3.020602226257324, 'learning_rate': 3.565647482014389e-05, 'epoch': 2.88} -{'loss': 0.4376, 'grad_norm': 1.4243072271347046, 'learning_rate': 3.564748201438849e-05, 'epoch': 2.88} -{'loss': 0.4487, 'grad_norm': 3.4263601303100586, 'learning_rate': 3.5638489208633096e-05, 'epoch': 2.89} -{'loss': 0.4474, 'grad_norm': 3.32763934135437, 'learning_rate': 3.56294964028777e-05, 'epoch': 2.89} -{'loss': 0.4337, 'grad_norm': 1.9655574560165405, 'learning_rate': 3.5620503597122304e-05, 'epoch': 2.89} -{'loss': 0.4322, 'grad_norm': 3.226972818374634, 'learning_rate': 3.561151079136691e-05, 'epoch': 2.89} - 29%|████████████████████████████████████▉ | 1620/5570 [25:46<53:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4382742643356323, 'eval_runtime': 1.5163, 'eval_samples_per_second': 474.831, 'eval_steps_per_second': 3.957, 'epoch': 2.89} -{'loss': 0.4371, 'grad_norm': 1.462435007095337, 'learning_rate': 3.560251798561151e-05, 'epoch': 2.89} -{'loss': 0.4429, 'grad_norm': 1.9536491632461548, 'learning_rate': 3.5593525179856115e-05, 'epoch': 2.89} -{'loss': 0.453, 'grad_norm': 1.6156461238861084, 'learning_rate': 3.558453237410072e-05, 'epoch': 2.9} -{'loss': 0.4448, 'grad_norm': 3.2576701641082764, 'learning_rate': 3.557553956834532e-05, 'epoch': 2.9} -{'loss': 0.4455, 'grad_norm': 2.6385655403137207, 'learning_rate': 3.5566546762589934e-05, 'epoch': 2.9} -{'loss': 0.4411, 'grad_norm': 2.655522108078003, 'learning_rate': 3.555755395683453e-05, 'epoch': 2.9} -{'loss': 0.4468, 'grad_norm': 2.732321262359619, 'learning_rate': 3.554856115107914e-05, 'epoch': 2.9} -{'loss': 0.447, 'grad_norm': 2.136227607727051, 'learning_rate': 3.5539568345323745e-05, 'epoch': 2.9} -{'loss': 0.441, 'grad_norm': 3.0322065353393555, 'learning_rate': 3.553057553956834e-05, 'epoch': 2.91} -{'loss': 0.4327, 'grad_norm': 2.138113498687744, 'learning_rate': 3.552158273381295e-05, 'epoch': 2.91} - 29%|█████████████████████████████████████▏ | 1630/5570 [25:55<53:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44041064381599426, 'eval_runtime': 1.5353, 'eval_samples_per_second': 468.959, 'eval_steps_per_second': 3.908, 'epoch': 2.91} -{'loss': 0.4491, 'grad_norm': 2.0851681232452393, 'learning_rate': 3.551258992805756e-05, 'epoch': 2.91} -{'loss': 0.4436, 'grad_norm': 2.299581527709961, 'learning_rate': 3.550359712230216e-05, 'epoch': 2.91} -{'loss': 0.445, 'grad_norm': 1.1253966093063354, 'learning_rate': 3.5494604316546765e-05, 'epoch': 2.91} -{'loss': 0.4446, 'grad_norm': 3.6485543251037598, 'learning_rate': 3.548561151079137e-05, 'epoch': 2.92} -{'loss': 0.4533, 'grad_norm': 3.442593812942505, 'learning_rate': 3.547661870503597e-05, 'epoch': 2.92} -{'loss': 0.4394, 'grad_norm': 2.666581153869629, 'learning_rate': 3.5467625899280576e-05, 'epoch': 2.92} -{'loss': 0.4336, 'grad_norm': 1.5430816411972046, 'learning_rate': 3.545863309352519e-05, 'epoch': 2.92} -{'loss': 0.4506, 'grad_norm': 4.207076549530029, 'learning_rate': 3.5449640287769784e-05, 'epoch': 2.92} -{'loss': 0.4616, 'grad_norm': 3.995790481567383, 'learning_rate': 3.544064748201439e-05, 'epoch': 2.92} -{'loss': 0.4529, 'grad_norm': 3.1837711334228516, 'learning_rate': 3.5431654676259e-05, 'epoch': 2.93} - 29%|█████████████████████████████████████▍ | 1640/5570 [26:05<53:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44808530807495117, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.269, 'eval_steps_per_second': 3.919, 'epoch': 2.93} -{'loss': 0.4421, 'grad_norm': 4.459951877593994, 'learning_rate': 3.5422661870503595e-05, 'epoch': 2.93} -{'loss': 0.4557, 'grad_norm': 4.096786022186279, 'learning_rate': 3.54136690647482e-05, 'epoch': 2.93} -{'loss': 0.4401, 'grad_norm': 2.0015029907226562, 'learning_rate': 3.540467625899281e-05, 'epoch': 2.93} -{'loss': 0.4444, 'grad_norm': 3.5837602615356445, 'learning_rate': 3.5395683453237414e-05, 'epoch': 2.93} -{'loss': 0.4485, 'grad_norm': 4.076096534729004, 'learning_rate': 3.538669064748202e-05, 'epoch': 2.94} -{'loss': 0.4435, 'grad_norm': 1.4450570344924927, 'learning_rate': 3.537769784172662e-05, 'epoch': 2.94} -{'loss': 0.4574, 'grad_norm': 3.3245630264282227, 'learning_rate': 3.5368705035971225e-05, 'epoch': 2.94} -{'loss': 0.4492, 'grad_norm': 3.52134370803833, 'learning_rate': 3.535971223021583e-05, 'epoch': 2.94} -{'loss': 0.4323, 'grad_norm': 1.0473309755325317, 'learning_rate': 3.535071942446043e-05, 'epoch': 2.94} -{'loss': 0.4347, 'grad_norm': 2.5657851696014404, 'learning_rate': 3.534172661870504e-05, 'epoch': 2.94} - 30%|█████████████████████████████████████▌ | 1650/5570 [26:14<53:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44504106044769287, 'eval_runtime': 1.5506, 'eval_samples_per_second': 464.327, 'eval_steps_per_second': 3.869, 'epoch': 2.94} -{'loss': 0.4494, 'grad_norm': 3.106977701187134, 'learning_rate': 3.533273381294964e-05, 'epoch': 2.95} -{'loss': 0.4426, 'grad_norm': 2.1785149574279785, 'learning_rate': 3.5323741007194245e-05, 'epoch': 2.95} -{'loss': 0.4496, 'grad_norm': 3.378538131713867, 'learning_rate': 3.5314748201438855e-05, 'epoch': 2.95} -{'loss': 0.4453, 'grad_norm': 2.3707237243652344, 'learning_rate': 3.530575539568345e-05, 'epoch': 2.95} -{'loss': 0.4413, 'grad_norm': 2.8534297943115234, 'learning_rate': 3.529676258992806e-05, 'epoch': 2.95} -{'loss': 0.4409, 'grad_norm': 3.0033557415008545, 'learning_rate': 3.528776978417267e-05, 'epoch': 2.96} -{'loss': 0.4356, 'grad_norm': 1.6671932935714722, 'learning_rate': 3.5278776978417264e-05, 'epoch': 2.96} -{'loss': 0.442, 'grad_norm': 3.8754642009735107, 'learning_rate': 3.5269784172661875e-05, 'epoch': 2.96} -{'loss': 0.4419, 'grad_norm': 1.7666867971420288, 'learning_rate': 3.526079136690648e-05, 'epoch': 2.96} -{'loss': 0.4385, 'grad_norm': 1.2185269594192505, 'learning_rate': 3.5251798561151075e-05, 'epoch': 2.96} - 30%|█████████████████████████████████████▊ | 1660/5570 [26:24<53:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44050776958465576, 'eval_runtime': 1.5361, 'eval_samples_per_second': 468.713, 'eval_steps_per_second': 3.906, 'epoch': 2.96} -{'loss': 0.4396, 'grad_norm': 2.313326597213745, 'learning_rate': 3.5242805755395686e-05, 'epoch': 2.96} -{'loss': 0.4424, 'grad_norm': 2.2116494178771973, 'learning_rate': 3.523381294964029e-05, 'epoch': 2.97} -{'loss': 0.4519, 'grad_norm': 3.1495680809020996, 'learning_rate': 3.5224820143884894e-05, 'epoch': 2.97} -{'loss': 0.4498, 'grad_norm': 2.9421725273132324, 'learning_rate': 3.52158273381295e-05, 'epoch': 2.97} -{'loss': 0.4371, 'grad_norm': 1.7460249662399292, 'learning_rate': 3.52068345323741e-05, 'epoch': 2.97} -{'loss': 0.4435, 'grad_norm': 3.371044397354126, 'learning_rate': 3.5197841726618705e-05, 'epoch': 2.97} -{'loss': 0.447, 'grad_norm': 2.9552717208862305, 'learning_rate': 3.518884892086331e-05, 'epoch': 2.97} -{'loss': 0.4383, 'grad_norm': 2.534013509750366, 'learning_rate': 3.517985611510792e-05, 'epoch': 2.98} -{'loss': 0.4489, 'grad_norm': 2.762108087539673, 'learning_rate': 3.517086330935252e-05, 'epoch': 2.98} -{'loss': 0.4495, 'grad_norm': 2.8802616596221924, 'learning_rate': 3.516187050359712e-05, 'epoch': 2.98} - 30%|██████████████████████████████████████ | 1670/5570 [26:33<52:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43849605321884155, 'eval_runtime': 1.5083, 'eval_samples_per_second': 477.362, 'eval_steps_per_second': 3.978, 'epoch': 2.98} -{'loss': 0.4508, 'grad_norm': 2.2858564853668213, 'learning_rate': 3.515287769784173e-05, 'epoch': 2.98} -{'loss': 0.4459, 'grad_norm': 2.1944704055786133, 'learning_rate': 3.514388489208633e-05, 'epoch': 2.98} -{'loss': 0.4405, 'grad_norm': 3.282348394393921, 'learning_rate': 3.513489208633094e-05, 'epoch': 2.99} -{'loss': 0.4485, 'grad_norm': 1.6419014930725098, 'learning_rate': 3.512589928057554e-05, 'epoch': 2.99} -{'loss': 0.4413, 'grad_norm': 1.9147895574569702, 'learning_rate': 3.511690647482015e-05, 'epoch': 2.99} -{'loss': 0.4413, 'grad_norm': 2.6101653575897217, 'learning_rate': 3.510791366906475e-05, 'epoch': 2.99} -{'loss': 0.4474, 'grad_norm': 1.7792255878448486, 'learning_rate': 3.5098920863309355e-05, 'epoch': 2.99} -{'loss': 0.4408, 'grad_norm': 1.3825372457504272, 'learning_rate': 3.508992805755396e-05, 'epoch': 2.99} -{'loss': 0.444, 'grad_norm': 2.3698763847351074, 'learning_rate': 3.508093525179856e-05, 'epoch': 3.0} -{'loss': 0.446, 'grad_norm': 3.061945676803589, 'learning_rate': 3.5071942446043166e-05, 'epoch': 3.0} - 30%|██████████████████████████████████████▎ | 1680/5570 [26:42<52:21, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4388628602027893, 'eval_runtime': 1.5178, 'eval_samples_per_second': 474.378, 'eval_steps_per_second': 3.953, 'epoch': 3.0} -{'loss': 0.4434, 'grad_norm': 2.9475836753845215, 'learning_rate': 3.506294964028777e-05, 'epoch': 3.0} -{'loss': 0.453, 'grad_norm': 2.223189353942871, 'learning_rate': 3.5053956834532374e-05, 'epoch': 3.0} -{'loss': 0.4448, 'grad_norm': 2.314265251159668, 'learning_rate': 3.504496402877698e-05, 'epoch': 3.0} -{'loss': 0.4497, 'grad_norm': 2.8185524940490723, 'learning_rate': 3.503597122302159e-05, 'epoch': 3.01} -{'loss': 0.4399, 'grad_norm': 1.6615056991577148, 'learning_rate': 3.5026978417266185e-05, 'epoch': 3.01} -{'loss': 0.4397, 'grad_norm': 1.7382112741470337, 'learning_rate': 3.5017985611510796e-05, 'epoch': 3.01} -{'loss': 0.4535, 'grad_norm': 3.4623970985412598, 'learning_rate': 3.50089928057554e-05, 'epoch': 3.01} -{'loss': 0.4378, 'grad_norm': 1.8661741018295288, 'learning_rate': 3.5e-05, 'epoch': 3.01} -{'loss': 0.4498, 'grad_norm': 2.0233781337738037, 'learning_rate': 3.499100719424461e-05, 'epoch': 3.01} -{'loss': 0.4368, 'grad_norm': 1.7196857929229736, 'learning_rate': 3.498201438848921e-05, 'epoch': 3.02} - 30%|██████████████████████████████████████▌ | 1690/5570 [26:52<52:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44271427392959595, 'eval_runtime': 1.5281, 'eval_samples_per_second': 471.178, 'eval_steps_per_second': 3.926, 'epoch': 3.02} -{'loss': 0.4473, 'grad_norm': 3.597874164581299, 'learning_rate': 3.4973021582733815e-05, 'epoch': 3.02} -{'loss': 0.4449, 'grad_norm': 3.1608035564422607, 'learning_rate': 3.496402877697842e-05, 'epoch': 3.02} -{'loss': 0.4421, 'grad_norm': 2.1439764499664307, 'learning_rate': 3.495503597122302e-05, 'epoch': 3.02} -{'loss': 0.4448, 'grad_norm': 1.8229928016662598, 'learning_rate': 3.494604316546763e-05, 'epoch': 3.02} -{'loss': 0.4372, 'grad_norm': 1.269545555114746, 'learning_rate': 3.493705035971223e-05, 'epoch': 3.03} -{'loss': 0.4415, 'grad_norm': 3.695887804031372, 'learning_rate': 3.492805755395684e-05, 'epoch': 3.03} -{'loss': 0.4392, 'grad_norm': 4.698944091796875, 'learning_rate': 3.491906474820144e-05, 'epoch': 3.03} -{'loss': 0.4416, 'grad_norm': 2.412140130996704, 'learning_rate': 3.491007194244604e-05, 'epoch': 3.03} -{'loss': 0.4411, 'grad_norm': 3.1301538944244385, 'learning_rate': 3.490107913669065e-05, 'epoch': 3.03} -{'loss': 0.4427, 'grad_norm': 1.7688689231872559, 'learning_rate': 3.489208633093525e-05, 'epoch': 3.03} - 31%|██████████████████████████████████████▊ | 1700/5570 [27:02<52:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4427624046802521, 'eval_runtime': 1.5285, 'eval_samples_per_second': 471.043, 'eval_steps_per_second': 3.925, 'epoch': 3.03} -{'loss': 0.4421, 'grad_norm': 2.098461866378784, 'learning_rate': 3.4883093525179854e-05, 'epoch': 3.04} -{'loss': 0.4358, 'grad_norm': 1.293319582939148, 'learning_rate': 3.4874100719424464e-05, 'epoch': 3.04} -{'loss': 0.4375, 'grad_norm': 1.4369540214538574, 'learning_rate': 3.486510791366907e-05, 'epoch': 3.04} -{'loss': 0.4399, 'grad_norm': 1.85646390914917, 'learning_rate': 3.485611510791367e-05, 'epoch': 3.04} -{'loss': 0.4397, 'grad_norm': 1.7611162662506104, 'learning_rate': 3.4847122302158276e-05, 'epoch': 3.04} -{'loss': 0.4386, 'grad_norm': 3.0460119247436523, 'learning_rate': 3.483812949640288e-05, 'epoch': 3.04} -{'loss': 0.4389, 'grad_norm': 3.1162495613098145, 'learning_rate': 3.4829136690647484e-05, 'epoch': 3.05} -{'loss': 0.4353, 'grad_norm': 1.520392894744873, 'learning_rate': 3.482014388489209e-05, 'epoch': 3.05} -{'loss': 0.4392, 'grad_norm': 5.233039379119873, 'learning_rate': 3.481115107913669e-05, 'epoch': 3.05} -{'loss': 0.4423, 'grad_norm': 4.096521854400635, 'learning_rate': 3.4802158273381295e-05, 'epoch': 3.05} - 31%|██████████████████████████████████████▉ | 1710/5570 [27:11<52:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44135338068008423, 'eval_runtime': 1.5204, 'eval_samples_per_second': 473.569, 'eval_steps_per_second': 3.946, 'epoch': 3.05} -{'loss': 0.443, 'grad_norm': 1.8182798624038696, 'learning_rate': 3.47931654676259e-05, 'epoch': 3.05} -{'loss': 0.434, 'grad_norm': 3.7730753421783447, 'learning_rate': 3.478417266187051e-05, 'epoch': 3.06} -{'loss': 0.4419, 'grad_norm': 2.0182952880859375, 'learning_rate': 3.477517985611511e-05, 'epoch': 3.06} -{'loss': 0.4437, 'grad_norm': 2.174983501434326, 'learning_rate': 3.476618705035972e-05, 'epoch': 3.06} -{'loss': 0.4402, 'grad_norm': 1.7745392322540283, 'learning_rate': 3.475719424460432e-05, 'epoch': 3.06} -{'loss': 0.4315, 'grad_norm': 1.5784600973129272, 'learning_rate': 3.474820143884892e-05, 'epoch': 3.06} -{'loss': 0.4434, 'grad_norm': 1.9194897413253784, 'learning_rate': 3.473920863309353e-05, 'epoch': 3.06} -{'loss': 0.4319, 'grad_norm': 1.7142106294631958, 'learning_rate': 3.473021582733813e-05, 'epoch': 3.07} -{'loss': 0.4305, 'grad_norm': 1.5461182594299316, 'learning_rate': 3.472122302158273e-05, 'epoch': 3.07} -{'loss': 0.44, 'grad_norm': 1.045292854309082, 'learning_rate': 3.471223021582734e-05, 'epoch': 3.07} - 31%|███████████████████████████████████████▏ | 1720/5570 [27:21<52:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4369746744632721, 'eval_runtime': 1.5211, 'eval_samples_per_second': 473.346, 'eval_steps_per_second': 3.945, 'epoch': 3.07} -{'loss': 0.4399, 'grad_norm': 1.61716628074646, 'learning_rate': 3.4703237410071944e-05, 'epoch': 3.07} -{'loss': 0.4368, 'grad_norm': 2.5145983695983887, 'learning_rate': 3.469424460431655e-05, 'epoch': 3.07} -{'loss': 0.4481, 'grad_norm': 2.608201026916504, 'learning_rate': 3.468525179856115e-05, 'epoch': 3.08} -{'loss': 0.4437, 'grad_norm': 1.8087257146835327, 'learning_rate': 3.4676258992805756e-05, 'epoch': 3.08} -{'loss': 0.4409, 'grad_norm': 2.977452039718628, 'learning_rate': 3.466726618705036e-05, 'epoch': 3.08} -{'loss': 0.4442, 'grad_norm': 3.1557087898254395, 'learning_rate': 3.4658273381294964e-05, 'epoch': 3.08} -{'loss': 0.4392, 'grad_norm': 1.766475796699524, 'learning_rate': 3.4649280575539574e-05, 'epoch': 3.08} -{'loss': 0.4466, 'grad_norm': 3.006319046020508, 'learning_rate': 3.464028776978417e-05, 'epoch': 3.08} -{'loss': 0.4523, 'grad_norm': 3.071054697036743, 'learning_rate': 3.4631294964028775e-05, 'epoch': 3.09} -{'loss': 0.4418, 'grad_norm': 2.5678789615631104, 'learning_rate': 3.4622302158273386e-05, 'epoch': 3.09} - 31%|███████████████████████████████████████▍ | 1730/5570 [27:30<52:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4435943067073822, 'eval_runtime': 1.5189, 'eval_samples_per_second': 474.022, 'eval_steps_per_second': 3.95, 'epoch': 3.09} -{'loss': 0.4434, 'grad_norm': 3.6091551780700684, 'learning_rate': 3.461330935251798e-05, 'epoch': 3.09} -{'loss': 0.4406, 'grad_norm': 2.2083630561828613, 'learning_rate': 3.4604316546762594e-05, 'epoch': 3.09} -{'loss': 0.4355, 'grad_norm': 3.133251190185547, 'learning_rate': 3.45953237410072e-05, 'epoch': 3.09} -{'loss': 0.4409, 'grad_norm': 3.360267400741577, 'learning_rate': 3.45863309352518e-05, 'epoch': 3.1} -{'loss': 0.4318, 'grad_norm': 2.2436556816101074, 'learning_rate': 3.4577338129496405e-05, 'epoch': 3.1} -{'loss': 0.4372, 'grad_norm': 2.3699612617492676, 'learning_rate': 3.456834532374101e-05, 'epoch': 3.1} -{'loss': 0.4439, 'grad_norm': 3.3123738765716553, 'learning_rate': 3.455935251798561e-05, 'epoch': 3.1} -{'loss': 0.4348, 'grad_norm': 2.7033145427703857, 'learning_rate': 3.455035971223022e-05, 'epoch': 3.1} -{'loss': 0.4363, 'grad_norm': 2.909715175628662, 'learning_rate': 3.454136690647482e-05, 'epoch': 3.1} -{'loss': 0.4399, 'grad_norm': 4.500656604766846, 'learning_rate': 3.453237410071943e-05, 'epoch': 3.11} - 31%|███████████████████████████████████████▋ | 1740/5570 [27:40<52:09, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4417729675769806, 'eval_runtime': 1.5142, 'eval_samples_per_second': 475.509, 'eval_steps_per_second': 3.963, 'epoch': 3.11} -{'loss': 0.4446, 'grad_norm': 2.337942123413086, 'learning_rate': 3.452338129496403e-05, 'epoch': 3.11} -{'loss': 0.4433, 'grad_norm': 2.1492180824279785, 'learning_rate': 3.451438848920863e-05, 'epoch': 3.11} -{'loss': 0.4417, 'grad_norm': 3.3494577407836914, 'learning_rate': 3.450539568345324e-05, 'epoch': 3.11} -{'loss': 0.4416, 'grad_norm': 1.6968135833740234, 'learning_rate': 3.449640287769784e-05, 'epoch': 3.11} -{'loss': 0.4322, 'grad_norm': 2.018502712249756, 'learning_rate': 3.448741007194245e-05, 'epoch': 3.11} -{'loss': 0.4358, 'grad_norm': 2.05631422996521, 'learning_rate': 3.4478417266187054e-05, 'epoch': 3.12} -{'loss': 0.4322, 'grad_norm': 2.1778273582458496, 'learning_rate': 3.446942446043165e-05, 'epoch': 3.12} -{'loss': 0.4394, 'grad_norm': 2.336383819580078, 'learning_rate': 3.446043165467626e-05, 'epoch': 3.12} -{'loss': 0.4402, 'grad_norm': 1.563082218170166, 'learning_rate': 3.4451438848920866e-05, 'epoch': 3.12} -{'loss': 0.4297, 'grad_norm': 1.6971709728240967, 'learning_rate': 3.444244604316547e-05, 'epoch': 3.12} - 31%|███████████████████████████████████████▉ | 1750/5570 [27:49<52:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4378751218318939, 'eval_runtime': 1.5271, 'eval_samples_per_second': 471.468, 'eval_steps_per_second': 3.929, 'epoch': 3.12} -{'loss': 0.4394, 'grad_norm': 1.214436411857605, 'learning_rate': 3.4433453237410074e-05, 'epoch': 3.13} -{'loss': 0.4369, 'grad_norm': 1.7609678506851196, 'learning_rate': 3.442446043165468e-05, 'epoch': 3.13} -{'loss': 0.4339, 'grad_norm': 1.7671343088150024, 'learning_rate': 3.441546762589928e-05, 'epoch': 3.13} -{'loss': 0.4495, 'grad_norm': 3.896158456802368, 'learning_rate': 3.4406474820143885e-05, 'epoch': 3.13} -{'loss': 0.4491, 'grad_norm': 3.419745922088623, 'learning_rate': 3.4397482014388496e-05, 'epoch': 3.13} -{'loss': 0.4341, 'grad_norm': 1.1495872735977173, 'learning_rate': 3.438848920863309e-05, 'epoch': 3.13} -{'loss': 0.4319, 'grad_norm': 2.704510450363159, 'learning_rate': 3.43794964028777e-05, 'epoch': 3.14} -{'loss': 0.4366, 'grad_norm': 2.1432127952575684, 'learning_rate': 3.437050359712231e-05, 'epoch': 3.14} -{'loss': 0.4371, 'grad_norm': 2.3128573894500732, 'learning_rate': 3.4361510791366904e-05, 'epoch': 3.14} -{'loss': 0.4421, 'grad_norm': 2.642910957336426, 'learning_rate': 3.435251798561151e-05, 'epoch': 3.14} - 32%|████████████████████████████████████████▏ | 1760/5570 [27:59<51:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43742939829826355, 'eval_runtime': 1.5293, 'eval_samples_per_second': 470.815, 'eval_steps_per_second': 3.923, 'epoch': 3.14} -{'loss': 0.4347, 'grad_norm': 1.545548677444458, 'learning_rate': 3.434352517985612e-05, 'epoch': 3.14} -{'loss': 0.4405, 'grad_norm': 2.9023125171661377, 'learning_rate': 3.433453237410072e-05, 'epoch': 3.15} -{'loss': 0.4499, 'grad_norm': 3.012051820755005, 'learning_rate': 3.432553956834533e-05, 'epoch': 3.15} -{'loss': 0.4367, 'grad_norm': 1.2569161653518677, 'learning_rate': 3.431654676258993e-05, 'epoch': 3.15} -{'loss': 0.4413, 'grad_norm': 2.894906520843506, 'learning_rate': 3.4307553956834534e-05, 'epoch': 3.15} -{'loss': 0.4414, 'grad_norm': 2.343945264816284, 'learning_rate': 3.429856115107914e-05, 'epoch': 3.15} -{'loss': 0.4397, 'grad_norm': 1.5178502798080444, 'learning_rate': 3.428956834532374e-05, 'epoch': 3.15} -{'loss': 0.4482, 'grad_norm': 3.2658956050872803, 'learning_rate': 3.4280575539568346e-05, 'epoch': 3.16} -{'loss': 0.447, 'grad_norm': 2.9885973930358887, 'learning_rate': 3.427158273381295e-05, 'epoch': 3.16} -{'loss': 0.441, 'grad_norm': 1.31999933719635, 'learning_rate': 3.4262589928057554e-05, 'epoch': 3.16} - 32%|████████████████████████████████████████▎ | 1770/5570 [28:08<51:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4420270621776581, 'eval_runtime': 1.5148, 'eval_samples_per_second': 475.296, 'eval_steps_per_second': 3.961, 'epoch': 3.16} -{'loss': 0.4422, 'grad_norm': 3.6396079063415527, 'learning_rate': 3.4253597122302164e-05, 'epoch': 3.16} -{'loss': 0.4389, 'grad_norm': 2.10410475730896, 'learning_rate': 3.424460431654676e-05, 'epoch': 3.16} -{'loss': 0.4321, 'grad_norm': 1.737753987312317, 'learning_rate': 3.423561151079137e-05, 'epoch': 3.17} -{'loss': 0.4298, 'grad_norm': 2.055997610092163, 'learning_rate': 3.4226618705035976e-05, 'epoch': 3.17} -{'loss': 0.4527, 'grad_norm': 2.524791717529297, 'learning_rate': 3.421762589928057e-05, 'epoch': 3.17} -{'loss': 0.4371, 'grad_norm': 2.0874149799346924, 'learning_rate': 3.4208633093525184e-05, 'epoch': 3.17} -{'loss': 0.4291, 'grad_norm': 2.615785598754883, 'learning_rate': 3.419964028776979e-05, 'epoch': 3.17} -{'loss': 0.4406, 'grad_norm': 1.1997705698013306, 'learning_rate': 3.4190647482014384e-05, 'epoch': 3.17} -{'loss': 0.4423, 'grad_norm': 1.262955665588379, 'learning_rate': 3.4181654676258995e-05, 'epoch': 3.18} -{'loss': 0.4341, 'grad_norm': 1.5282018184661865, 'learning_rate': 3.41726618705036e-05, 'epoch': 3.18} - 32%|████████████████████████████████████████▌ | 1780/5570 [28:18<51:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4385169446468353, 'eval_runtime': 1.5272, 'eval_samples_per_second': 471.442, 'eval_steps_per_second': 3.929, 'epoch': 3.18} -{'loss': 0.4346, 'grad_norm': 2.377145290374756, 'learning_rate': 3.41636690647482e-05, 'epoch': 3.18} -{'loss': 0.4411, 'grad_norm': 1.641114354133606, 'learning_rate': 3.415467625899281e-05, 'epoch': 3.18} -{'loss': 0.4307, 'grad_norm': 1.2132080793380737, 'learning_rate': 3.414568345323741e-05, 'epoch': 3.18} -{'loss': 0.4429, 'grad_norm': 2.0305848121643066, 'learning_rate': 3.4136690647482014e-05, 'epoch': 3.18} -{'loss': 0.4381, 'grad_norm': 2.6642906665802, 'learning_rate': 3.412769784172662e-05, 'epoch': 3.19} -{'loss': 0.44, 'grad_norm': 2.2632410526275635, 'learning_rate': 3.411870503597123e-05, 'epoch': 3.19} -{'loss': 0.4474, 'grad_norm': 2.5268962383270264, 'learning_rate': 3.4109712230215826e-05, 'epoch': 3.19} -{'loss': 0.4382, 'grad_norm': 2.0424957275390625, 'learning_rate': 3.410071942446043e-05, 'epoch': 3.19} -{'loss': 0.4396, 'grad_norm': 1.1915373802185059, 'learning_rate': 3.409172661870504e-05, 'epoch': 3.19} -{'loss': 0.4326, 'grad_norm': 1.7440797090530396, 'learning_rate': 3.4082733812949644e-05, 'epoch': 3.2} - 32%|████████████████████████████████████████▊ | 1790/5570 [28:27<51:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4404221475124359, 'eval_runtime': 1.5292, 'eval_samples_per_second': 470.848, 'eval_steps_per_second': 3.924, 'epoch': 3.2} -{'loss': 0.4337, 'grad_norm': 3.3209612369537354, 'learning_rate': 3.407374100719425e-05, 'epoch': 3.2} -{'loss': 0.4406, 'grad_norm': 2.912757158279419, 'learning_rate': 3.406474820143885e-05, 'epoch': 3.2} -{'loss': 0.4478, 'grad_norm': 2.2448766231536865, 'learning_rate': 3.4055755395683456e-05, 'epoch': 3.2} -{'loss': 0.4327, 'grad_norm': 4.222926139831543, 'learning_rate': 3.404676258992806e-05, 'epoch': 3.2} -{'loss': 0.4358, 'grad_norm': 1.601011872291565, 'learning_rate': 3.4037769784172664e-05, 'epoch': 3.2} -{'loss': 0.4391, 'grad_norm': 2.653372287750244, 'learning_rate': 3.402877697841727e-05, 'epoch': 3.21} -{'loss': 0.4497, 'grad_norm': 2.852994918823242, 'learning_rate': 3.401978417266187e-05, 'epoch': 3.21} -{'loss': 0.4336, 'grad_norm': 2.5214529037475586, 'learning_rate': 3.4010791366906475e-05, 'epoch': 3.21} -{'loss': 0.435, 'grad_norm': 3.0905518531799316, 'learning_rate': 3.4001798561151086e-05, 'epoch': 3.21} -{'loss': 0.4363, 'grad_norm': 2.2619268894195557, 'learning_rate': 3.399280575539568e-05, 'epoch': 3.21} - 32%|█████████████████████████████████████████ | 1800/5570 [28:37<51:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43704062700271606, 'eval_runtime': 1.5466, 'eval_samples_per_second': 465.525, 'eval_steps_per_second': 3.879, 'epoch': 3.21} -{'loss': 0.443, 'grad_norm': 1.319753646850586, 'learning_rate': 3.398381294964029e-05, 'epoch': 3.22} -{'loss': 0.4418, 'grad_norm': 2.722090244293213, 'learning_rate': 3.39748201438849e-05, 'epoch': 3.22} -{'loss': 0.4335, 'grad_norm': 2.7866616249084473, 'learning_rate': 3.3965827338129494e-05, 'epoch': 3.22} -{'loss': 0.4304, 'grad_norm': 2.20011568069458, 'learning_rate': 3.3956834532374105e-05, 'epoch': 3.22} -{'loss': 0.441, 'grad_norm': 3.828701972961426, 'learning_rate': 3.394784172661871e-05, 'epoch': 3.22} -{'loss': 0.4394, 'grad_norm': 2.667954206466675, 'learning_rate': 3.3938848920863306e-05, 'epoch': 3.22} -{'loss': 0.4417, 'grad_norm': 4.957291603088379, 'learning_rate': 3.3929856115107917e-05, 'epoch': 3.23} -{'loss': 0.4513, 'grad_norm': 4.40844202041626, 'learning_rate': 3.392086330935252e-05, 'epoch': 3.23} -{'loss': 0.4361, 'grad_norm': 3.011538505554199, 'learning_rate': 3.3911870503597124e-05, 'epoch': 3.23} -{'loss': 0.4412, 'grad_norm': 4.226063251495361, 'learning_rate': 3.390287769784173e-05, 'epoch': 3.23} - 32%|█████████████████████████████████████████▎ | 1810/5570 [28:46<50:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4391273558139801, 'eval_runtime': 1.515, 'eval_samples_per_second': 475.234, 'eval_steps_per_second': 3.96, 'epoch': 3.23} -{'loss': 0.4295, 'grad_norm': 2.2058072090148926, 'learning_rate': 3.389388489208633e-05, 'epoch': 3.23} -{'loss': 0.4465, 'grad_norm': 4.139318466186523, 'learning_rate': 3.3884892086330936e-05, 'epoch': 3.24} -{'loss': 0.4426, 'grad_norm': 4.698278427124023, 'learning_rate': 3.387589928057554e-05, 'epoch': 3.24} -{'loss': 0.4319, 'grad_norm': 2.3621413707733154, 'learning_rate': 3.386690647482015e-05, 'epoch': 3.24} -{'loss': 0.4346, 'grad_norm': 2.4054930210113525, 'learning_rate': 3.385791366906475e-05, 'epoch': 3.24} -{'loss': 0.4306, 'grad_norm': 1.358384370803833, 'learning_rate': 3.384892086330935e-05, 'epoch': 3.24} -{'loss': 0.4298, 'grad_norm': 1.1514710187911987, 'learning_rate': 3.383992805755396e-05, 'epoch': 3.24} -{'loss': 0.4404, 'grad_norm': 1.835403323173523, 'learning_rate': 3.383093525179856e-05, 'epoch': 3.25} -{'loss': 0.4424, 'grad_norm': 1.3327414989471436, 'learning_rate': 3.382194244604316e-05, 'epoch': 3.25} -{'loss': 0.4469, 'grad_norm': 4.381834506988525, 'learning_rate': 3.3812949640287773e-05, 'epoch': 3.25} - 33%|█████████████████████████████████████████▍ | 1820/5570 [28:56<50:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4464625418186188, 'eval_runtime': 1.5338, 'eval_samples_per_second': 469.417, 'eval_steps_per_second': 3.912, 'epoch': 3.25} -{'loss': 0.4448, 'grad_norm': 4.360226154327393, 'learning_rate': 3.380395683453238e-05, 'epoch': 3.25} -{'loss': 0.439, 'grad_norm': 1.8632397651672363, 'learning_rate': 3.379496402877698e-05, 'epoch': 3.25} -{'loss': 0.4472, 'grad_norm': 2.3675010204315186, 'learning_rate': 3.3785971223021585e-05, 'epoch': 3.25} -{'loss': 0.4441, 'grad_norm': 2.786369562149048, 'learning_rate': 3.377697841726619e-05, 'epoch': 3.26} -{'loss': 0.4429, 'grad_norm': 2.1985421180725098, 'learning_rate': 3.376798561151079e-05, 'epoch': 3.26} -{'loss': 0.4376, 'grad_norm': 1.4199209213256836, 'learning_rate': 3.3758992805755397e-05, 'epoch': 3.26} -{'loss': 0.447, 'grad_norm': 3.7648024559020996, 'learning_rate': 3.375000000000001e-05, 'epoch': 3.26} -{'loss': 0.444, 'grad_norm': 3.708826780319214, 'learning_rate': 3.3741007194244604e-05, 'epoch': 3.26} -{'loss': 0.4454, 'grad_norm': 2.3908510208129883, 'learning_rate': 3.373201438848921e-05, 'epoch': 3.27} -{'loss': 0.4371, 'grad_norm': 1.548376441001892, 'learning_rate': 3.372302158273382e-05, 'epoch': 3.27} - 33%|█████████████████████████████████████████▋ | 1830/5570 [29:06<50:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43981730937957764, 'eval_runtime': 1.5301, 'eval_samples_per_second': 470.571, 'eval_steps_per_second': 3.921, 'epoch': 3.27} -{'loss': 0.438, 'grad_norm': 2.6096882820129395, 'learning_rate': 3.3714028776978416e-05, 'epoch': 3.27} -{'loss': 0.4468, 'grad_norm': 2.875924587249756, 'learning_rate': 3.3705035971223026e-05, 'epoch': 3.27} -{'loss': 0.4412, 'grad_norm': 2.4481313228607178, 'learning_rate': 3.369604316546763e-05, 'epoch': 3.27} -{'loss': 0.437, 'grad_norm': 3.112868309020996, 'learning_rate': 3.368705035971223e-05, 'epoch': 3.27} -{'loss': 0.4406, 'grad_norm': 2.707854747772217, 'learning_rate': 3.367805755395684e-05, 'epoch': 3.28} -{'loss': 0.4358, 'grad_norm': 2.340073823928833, 'learning_rate': 3.366906474820144e-05, 'epoch': 3.28} -{'loss': 0.4322, 'grad_norm': 3.5089011192321777, 'learning_rate': 3.366007194244604e-05, 'epoch': 3.28} -{'loss': 0.4392, 'grad_norm': 2.3753716945648193, 'learning_rate': 3.365107913669065e-05, 'epoch': 3.28} -{'loss': 0.4491, 'grad_norm': 4.0677995681762695, 'learning_rate': 3.3642086330935253e-05, 'epoch': 3.28} -{'loss': 0.4475, 'grad_norm': 3.6264607906341553, 'learning_rate': 3.363309352517986e-05, 'epoch': 3.29} - 33%|█████████████████████████████████████████▉ | 1840/5570 [29:15<49:58, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4368637204170227, 'eval_runtime': 1.533, 'eval_samples_per_second': 469.67, 'eval_steps_per_second': 3.914, 'epoch': 3.29} -{'loss': 0.4333, 'grad_norm': 1.4667705297470093, 'learning_rate': 3.362410071942446e-05, 'epoch': 3.29} -{'loss': 0.4345, 'grad_norm': 2.395617961883545, 'learning_rate': 3.3615107913669065e-05, 'epoch': 3.29} -{'loss': 0.4518, 'grad_norm': 2.317769765853882, 'learning_rate': 3.360611510791367e-05, 'epoch': 3.29} -{'loss': 0.4441, 'grad_norm': 3.11165189743042, 'learning_rate': 3.359712230215827e-05, 'epoch': 3.29} -{'loss': 0.4389, 'grad_norm': 3.018231153488159, 'learning_rate': 3.358812949640288e-05, 'epoch': 3.29} -{'loss': 0.4415, 'grad_norm': 2.1411361694335938, 'learning_rate': 3.357913669064748e-05, 'epoch': 3.3} -{'loss': 0.4252, 'grad_norm': 1.9886500835418701, 'learning_rate': 3.3570143884892084e-05, 'epoch': 3.3} -{'loss': 0.4419, 'grad_norm': 2.137258291244507, 'learning_rate': 3.3561151079136695e-05, 'epoch': 3.3} -{'loss': 0.4401, 'grad_norm': 1.5085692405700684, 'learning_rate': 3.35521582733813e-05, 'epoch': 3.3} -{'loss': 0.4474, 'grad_norm': 2.602203130722046, 'learning_rate': 3.35431654676259e-05, 'epoch': 3.3} - 33%|██████████████████████████████████████████▏ | 1850/5570 [29:25<51:12, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.438536673784256, 'eval_runtime': 1.527, 'eval_samples_per_second': 471.498, 'eval_steps_per_second': 3.929, 'epoch': 3.3} -{'loss': 0.4393, 'grad_norm': 3.935913562774658, 'learning_rate': 3.3534172661870506e-05, 'epoch': 3.31} -{'loss': 0.4404, 'grad_norm': 2.358079433441162, 'learning_rate': 3.352517985611511e-05, 'epoch': 3.31} -{'loss': 0.4458, 'grad_norm': 2.6251869201660156, 'learning_rate': 3.3516187050359714e-05, 'epoch': 3.31} -{'loss': 0.4406, 'grad_norm': 2.7661983966827393, 'learning_rate': 3.350719424460432e-05, 'epoch': 3.31} -{'loss': 0.4268, 'grad_norm': 1.551642894744873, 'learning_rate': 3.349820143884892e-05, 'epoch': 3.31} -{'loss': 0.4344, 'grad_norm': 1.17328941822052, 'learning_rate': 3.3489208633093526e-05, 'epoch': 3.31} -{'loss': 0.4333, 'grad_norm': 2.522538185119629, 'learning_rate': 3.348021582733813e-05, 'epoch': 3.32} -{'loss': 0.4495, 'grad_norm': 1.829585075378418, 'learning_rate': 3.347122302158274e-05, 'epoch': 3.32} -{'loss': 0.4446, 'grad_norm': 2.9925670623779297, 'learning_rate': 3.346223021582734e-05, 'epoch': 3.32} -{'loss': 0.4344, 'grad_norm': 2.487044334411621, 'learning_rate': 3.345323741007194e-05, 'epoch': 3.32} - 33%|██████████████████████████████████████████▍ | 1860/5570 [29:34<50:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43909063935279846, 'eval_runtime': 1.5193, 'eval_samples_per_second': 473.89, 'eval_steps_per_second': 3.949, 'epoch': 3.32} -{'loss': 0.4444, 'grad_norm': 3.322551965713501, 'learning_rate': 3.344424460431655e-05, 'epoch': 3.32} -{'loss': 0.4434, 'grad_norm': 2.3573858737945557, 'learning_rate': 3.343525179856115e-05, 'epoch': 3.32} -{'loss': 0.4376, 'grad_norm': 1.5627965927124023, 'learning_rate': 3.342625899280576e-05, 'epoch': 3.33} -{'loss': 0.435, 'grad_norm': 3.906048059463501, 'learning_rate': 3.341726618705036e-05, 'epoch': 3.33} -{'loss': 0.4475, 'grad_norm': 4.799365043640137, 'learning_rate': 3.340827338129496e-05, 'epoch': 3.33} -{'loss': 0.4456, 'grad_norm': 1.754504919052124, 'learning_rate': 3.339928057553957e-05, 'epoch': 3.33} -{'loss': 0.4366, 'grad_norm': 2.46530818939209, 'learning_rate': 3.3390287769784175e-05, 'epoch': 3.33} -{'loss': 0.4488, 'grad_norm': 3.8164737224578857, 'learning_rate': 3.338129496402878e-05, 'epoch': 3.34} -{'loss': 0.4457, 'grad_norm': 2.421121120452881, 'learning_rate': 3.337230215827338e-05, 'epoch': 3.34} -{'loss': 0.4471, 'grad_norm': 3.350796937942505, 'learning_rate': 3.3363309352517986e-05, 'epoch': 3.34} - 34%|██████████████████████████████████████████▋ | 1870/5570 [29:44<50:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43600115180015564, 'eval_runtime': 1.5131, 'eval_samples_per_second': 475.847, 'eval_steps_per_second': 3.965, 'epoch': 3.34} -{'loss': 0.4315, 'grad_norm': 2.15443754196167, 'learning_rate': 3.335431654676259e-05, 'epoch': 3.34} -{'loss': 0.434, 'grad_norm': 2.973660469055176, 'learning_rate': 3.3345323741007194e-05, 'epoch': 3.34} -{'loss': 0.4491, 'grad_norm': 3.1491312980651855, 'learning_rate': 3.3336330935251805e-05, 'epoch': 3.34} -{'loss': 0.4444, 'grad_norm': 1.8710862398147583, 'learning_rate': 3.33273381294964e-05, 'epoch': 3.35} -{'loss': 0.439, 'grad_norm': 2.3248467445373535, 'learning_rate': 3.3318345323741006e-05, 'epoch': 3.35} -{'loss': 0.4348, 'grad_norm': 1.217411756515503, 'learning_rate': 3.3309352517985616e-05, 'epoch': 3.35} -{'loss': 0.4305, 'grad_norm': 1.5022319555282593, 'learning_rate': 3.330035971223022e-05, 'epoch': 3.35} -{'loss': 0.4355, 'grad_norm': 1.636322259902954, 'learning_rate': 3.329136690647482e-05, 'epoch': 3.35} -{'loss': 0.4326, 'grad_norm': 1.6169276237487793, 'learning_rate': 3.328237410071943e-05, 'epoch': 3.36} -{'loss': 0.4396, 'grad_norm': 2.362015724182129, 'learning_rate': 3.327338129496403e-05, 'epoch': 3.36} - 34%|██████████████████████████████████████████▊ | 1880/5570 [29:53<49:46, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44234588742256165, 'eval_runtime': 1.5176, 'eval_samples_per_second': 474.426, 'eval_steps_per_second': 3.954, 'epoch': 3.36} -{'loss': 0.442, 'grad_norm': 3.4994735717773438, 'learning_rate': 3.3264388489208636e-05, 'epoch': 3.36} -{'loss': 0.4362, 'grad_norm': 2.296110153198242, 'learning_rate': 3.325539568345324e-05, 'epoch': 3.36} -{'loss': 0.4419, 'grad_norm': 2.6588242053985596, 'learning_rate': 3.324640287769784e-05, 'epoch': 3.36} -{'loss': 0.4527, 'grad_norm': 3.221750020980835, 'learning_rate': 3.323741007194245e-05, 'epoch': 3.36} -{'loss': 0.4415, 'grad_norm': 2.8604719638824463, 'learning_rate': 3.322841726618705e-05, 'epoch': 3.37} -{'loss': 0.4427, 'grad_norm': 1.6995577812194824, 'learning_rate': 3.321942446043166e-05, 'epoch': 3.37} -{'loss': 0.4439, 'grad_norm': 2.38897967338562, 'learning_rate': 3.321043165467626e-05, 'epoch': 3.37} -{'loss': 0.4381, 'grad_norm': 1.3125948905944824, 'learning_rate': 3.320143884892086e-05, 'epoch': 3.37} -{'loss': 0.4419, 'grad_norm': 2.851952075958252, 'learning_rate': 3.319244604316547e-05, 'epoch': 3.37} -{'loss': 0.4379, 'grad_norm': 3.2078895568847656, 'learning_rate': 3.318345323741007e-05, 'epoch': 3.38} - 34%|███████████████████████████████████████████ | 1890/5570 [30:03<49:46, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4376090466976166, 'eval_runtime': 1.5219, 'eval_samples_per_second': 473.092, 'eval_steps_per_second': 3.942, 'epoch': 3.38} -{'loss': 0.4393, 'grad_norm': 2.773049831390381, 'learning_rate': 3.317446043165468e-05, 'epoch': 3.38} -{'loss': 0.4328, 'grad_norm': 1.537399411201477, 'learning_rate': 3.3165467625899285e-05, 'epoch': 3.38} -{'loss': 0.4479, 'grad_norm': 3.913982391357422, 'learning_rate': 3.315647482014388e-05, 'epoch': 3.38} -{'loss': 0.4423, 'grad_norm': 4.755018711090088, 'learning_rate': 3.314748201438849e-05, 'epoch': 3.38} -{'loss': 0.4464, 'grad_norm': 1.932464599609375, 'learning_rate': 3.3138489208633096e-05, 'epoch': 3.38} -{'loss': 0.4366, 'grad_norm': 1.8000003099441528, 'learning_rate': 3.31294964028777e-05, 'epoch': 3.39} -{'loss': 0.4368, 'grad_norm': 2.3807425498962402, 'learning_rate': 3.3120503597122304e-05, 'epoch': 3.39} -{'loss': 0.4338, 'grad_norm': 1.9209604263305664, 'learning_rate': 3.311151079136691e-05, 'epoch': 3.39} -{'loss': 0.4399, 'grad_norm': 1.644697904586792, 'learning_rate': 3.310251798561151e-05, 'epoch': 3.39} -{'loss': 0.4392, 'grad_norm': 3.460859537124634, 'learning_rate': 3.3093525179856116e-05, 'epoch': 3.39} - 34%|███████████████████████████████████████████▎ | 1900/5570 [30:12<49:22, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.435029000043869, 'eval_runtime': 1.5107, 'eval_samples_per_second': 476.59, 'eval_steps_per_second': 3.972, 'epoch': 3.39} -{'loss': 0.4316, 'grad_norm': 1.1930257081985474, 'learning_rate': 3.308453237410072e-05, 'epoch': 3.39} -{'loss': 0.4418, 'grad_norm': 4.2434163093566895, 'learning_rate': 3.307553956834532e-05, 'epoch': 3.4} -{'loss': 0.4372, 'grad_norm': 3.286404848098755, 'learning_rate': 3.306654676258993e-05, 'epoch': 3.4} -{'loss': 0.443, 'grad_norm': 2.4502196311950684, 'learning_rate': 3.305755395683454e-05, 'epoch': 3.4} -{'loss': 0.4472, 'grad_norm': 2.982753038406372, 'learning_rate': 3.3048561151079135e-05, 'epoch': 3.4} -{'loss': 0.447, 'grad_norm': 2.69104266166687, 'learning_rate': 3.303956834532374e-05, 'epoch': 3.4} -{'loss': 0.4494, 'grad_norm': 1.8204694986343384, 'learning_rate': 3.303057553956835e-05, 'epoch': 3.41} -{'loss': 0.4358, 'grad_norm': 1.6100780963897705, 'learning_rate': 3.302158273381295e-05, 'epoch': 3.41} -{'loss': 0.4411, 'grad_norm': 2.438995361328125, 'learning_rate': 3.301258992805756e-05, 'epoch': 3.41} -{'loss': 0.4409, 'grad_norm': 2.0599138736724854, 'learning_rate': 3.300359712230216e-05, 'epoch': 3.41} - 34%|███████████████████████████████████████████▌ | 1910/5570 [30:22<49:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43675902485847473, 'eval_runtime': 1.5226, 'eval_samples_per_second': 472.886, 'eval_steps_per_second': 3.941, 'epoch': 3.41} -{'loss': 0.4302, 'grad_norm': 2.373133897781372, 'learning_rate': 3.2994604316546765e-05, 'epoch': 3.41} -{'loss': 0.4341, 'grad_norm': 1.5436207056045532, 'learning_rate': 3.298561151079137e-05, 'epoch': 3.41} -{'loss': 0.4364, 'grad_norm': 2.0807666778564453, 'learning_rate': 3.297661870503597e-05, 'epoch': 3.42} -{'loss': 0.4493, 'grad_norm': 1.1224969625473022, 'learning_rate': 3.2967625899280576e-05, 'epoch': 3.42} -{'loss': 0.4476, 'grad_norm': 1.96511971950531, 'learning_rate': 3.295863309352518e-05, 'epoch': 3.42} -{'loss': 0.4434, 'grad_norm': 1.576348900794983, 'learning_rate': 3.2949640287769784e-05, 'epoch': 3.42} -{'loss': 0.4414, 'grad_norm': 1.82192063331604, 'learning_rate': 3.2940647482014395e-05, 'epoch': 3.42} -{'loss': 0.4342, 'grad_norm': 1.3416789770126343, 'learning_rate': 3.293165467625899e-05, 'epoch': 3.43} -{'loss': 0.4312, 'grad_norm': 1.509736180305481, 'learning_rate': 3.2922661870503596e-05, 'epoch': 3.43} -{'loss': 0.4412, 'grad_norm': 1.5281689167022705, 'learning_rate': 3.2913669064748206e-05, 'epoch': 3.43} - 34%|███████████████████████████████████████████▊ | 1920/5570 [30:31<49:14, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4351949393749237, 'eval_runtime': 1.52, 'eval_samples_per_second': 473.687, 'eval_steps_per_second': 3.947, 'epoch': 3.43} -{'loss': 0.4331, 'grad_norm': 1.1757372617721558, 'learning_rate': 3.29046762589928e-05, 'epoch': 3.43} -{'loss': 0.4332, 'grad_norm': 1.722737431526184, 'learning_rate': 3.2895683453237414e-05, 'epoch': 3.43} -{'loss': 0.4294, 'grad_norm': 2.012300968170166, 'learning_rate': 3.288669064748202e-05, 'epoch': 3.43} -{'loss': 0.443, 'grad_norm': 1.875494122505188, 'learning_rate': 3.2877697841726615e-05, 'epoch': 3.44} -{'loss': 0.4297, 'grad_norm': 2.054734945297241, 'learning_rate': 3.2868705035971226e-05, 'epoch': 3.44} -{'loss': 0.4294, 'grad_norm': 1.4727004766464233, 'learning_rate': 3.285971223021583e-05, 'epoch': 3.44} -{'loss': 0.4449, 'grad_norm': 5.886018753051758, 'learning_rate': 3.285071942446043e-05, 'epoch': 3.44} -{'loss': 0.4495, 'grad_norm': 6.236026763916016, 'learning_rate': 3.284172661870504e-05, 'epoch': 3.44} -{'loss': 0.4368, 'grad_norm': 3.0621280670166016, 'learning_rate': 3.283273381294964e-05, 'epoch': 3.45} -{'loss': 0.4419, 'grad_norm': 4.207376480102539, 'learning_rate': 3.2823741007194245e-05, 'epoch': 3.45} - 35%|████████████████████████████████████████████ | 1930/5570 [30:41<49:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44570499658584595, 'eval_runtime': 1.5226, 'eval_samples_per_second': 472.87, 'eval_steps_per_second': 3.941, 'epoch': 3.45} -{'loss': 0.44, 'grad_norm': 3.730409622192383, 'learning_rate': 3.281474820143885e-05, 'epoch': 3.45} -{'loss': 0.4529, 'grad_norm': 3.852609395980835, 'learning_rate': 3.280575539568346e-05, 'epoch': 3.45} -{'loss': 0.4388, 'grad_norm': 2.989100456237793, 'learning_rate': 3.2796762589928056e-05, 'epoch': 3.45} -{'loss': 0.4411, 'grad_norm': 3.9104528427124023, 'learning_rate': 3.278776978417266e-05, 'epoch': 3.45} -{'loss': 0.4393, 'grad_norm': 3.9847941398620605, 'learning_rate': 3.277877697841727e-05, 'epoch': 3.46} -{'loss': 0.4556, 'grad_norm': 3.6028289794921875, 'learning_rate': 3.2769784172661875e-05, 'epoch': 3.46} -{'loss': 0.4414, 'grad_norm': 3.0453715324401855, 'learning_rate': 3.276079136690647e-05, 'epoch': 3.46} -{'loss': 0.4463, 'grad_norm': 2.412905693054199, 'learning_rate': 3.275179856115108e-05, 'epoch': 3.46} -{'loss': 0.4414, 'grad_norm': 1.9394240379333496, 'learning_rate': 3.2742805755395686e-05, 'epoch': 3.46} -{'loss': 0.446, 'grad_norm': 2.526724100112915, 'learning_rate': 3.273381294964029e-05, 'epoch': 3.46} - 35%|████████████████████████████████████████████▏ | 1940/5570 [30:50<49:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4347194731235504, 'eval_runtime': 1.5441, 'eval_samples_per_second': 466.289, 'eval_steps_per_second': 3.886, 'epoch': 3.46} -{'loss': 0.4468, 'grad_norm': 1.648850917816162, 'learning_rate': 3.2724820143884894e-05, 'epoch': 3.47} -{'loss': 0.45, 'grad_norm': 3.7410151958465576, 'learning_rate': 3.27158273381295e-05, 'epoch': 3.47} -{'loss': 0.4506, 'grad_norm': 4.922501564025879, 'learning_rate': 3.27068345323741e-05, 'epoch': 3.47} -{'loss': 0.4514, 'grad_norm': 3.8243484497070312, 'learning_rate': 3.2697841726618706e-05, 'epoch': 3.47} -{'loss': 0.4465, 'grad_norm': 2.2178938388824463, 'learning_rate': 3.2688848920863316e-05, 'epoch': 3.47} -{'loss': 0.4409, 'grad_norm': 3.432708740234375, 'learning_rate': 3.267985611510791e-05, 'epoch': 3.48} -{'loss': 0.4363, 'grad_norm': 1.8154398202896118, 'learning_rate': 3.267086330935252e-05, 'epoch': 3.48} -{'loss': 0.4319, 'grad_norm': 2.223095178604126, 'learning_rate': 3.266187050359713e-05, 'epoch': 3.48} -{'loss': 0.4318, 'grad_norm': 1.3328851461410522, 'learning_rate': 3.2652877697841725e-05, 'epoch': 3.48} -{'loss': 0.4347, 'grad_norm': 1.568061351776123, 'learning_rate': 3.2643884892086335e-05, 'epoch': 3.48} - 35%|████████████████████████████████████████████▍ | 1950/5570 [31:00<49:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43347588181495667, 'eval_runtime': 1.5365, 'eval_samples_per_second': 468.604, 'eval_steps_per_second': 3.905, 'epoch': 3.48} -{'loss': 0.4304, 'grad_norm': 1.3976541757583618, 'learning_rate': 3.263489208633094e-05, 'epoch': 3.48} -{'loss': 0.4309, 'grad_norm': 1.6267350912094116, 'learning_rate': 3.2625899280575536e-05, 'epoch': 3.49} -{'loss': 0.4468, 'grad_norm': 2.8969533443450928, 'learning_rate': 3.261690647482015e-05, 'epoch': 3.49} -{'loss': 0.4306, 'grad_norm': 2.4697535037994385, 'learning_rate': 3.260791366906475e-05, 'epoch': 3.49} -{'loss': 0.4274, 'grad_norm': 1.6682319641113281, 'learning_rate': 3.2598920863309355e-05, 'epoch': 3.49} -{'loss': 0.4346, 'grad_norm': 3.277515172958374, 'learning_rate': 3.258992805755396e-05, 'epoch': 3.49} -{'loss': 0.4386, 'grad_norm': 3.001988649368286, 'learning_rate': 3.258093525179856e-05, 'epoch': 3.5} -{'loss': 0.4422, 'grad_norm': 1.6476844549179077, 'learning_rate': 3.2571942446043166e-05, 'epoch': 3.5} -{'loss': 0.4485, 'grad_norm': 3.693662643432617, 'learning_rate': 3.256294964028777e-05, 'epoch': 3.5} -{'loss': 0.4642, 'grad_norm': 5.120283603668213, 'learning_rate': 3.2553956834532374e-05, 'epoch': 3.5} - 35%|████████████████████████████████████████████▋ | 1960/5570 [31:09<48:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4433756172657013, 'eval_runtime': 1.5236, 'eval_samples_per_second': 472.575, 'eval_steps_per_second': 3.938, 'epoch': 3.5} -{'loss': 0.4483, 'grad_norm': 3.943861961364746, 'learning_rate': 3.254496402877698e-05, 'epoch': 3.5} -{'loss': 0.4415, 'grad_norm': 2.9463748931884766, 'learning_rate': 3.253597122302158e-05, 'epoch': 3.5} -{'loss': 0.4446, 'grad_norm': 4.932306289672852, 'learning_rate': 3.252697841726619e-05, 'epoch': 3.51} -{'loss': 0.4344, 'grad_norm': 2.417464256286621, 'learning_rate': 3.251798561151079e-05, 'epoch': 3.51} -{'loss': 0.4342, 'grad_norm': 2.607980728149414, 'learning_rate': 3.250899280575539e-05, 'epoch': 3.51} -{'loss': 0.4396, 'grad_norm': 2.214143991470337, 'learning_rate': 3.2500000000000004e-05, 'epoch': 3.51} -{'loss': 0.4345, 'grad_norm': 3.3011441230773926, 'learning_rate': 3.249100719424461e-05, 'epoch': 3.51} -{'loss': 0.4365, 'grad_norm': 2.1647958755493164, 'learning_rate': 3.248201438848921e-05, 'epoch': 3.52} -{'loss': 0.443, 'grad_norm': 2.2863540649414062, 'learning_rate': 3.2473021582733815e-05, 'epoch': 3.52} -{'loss': 0.438, 'grad_norm': 2.78555965423584, 'learning_rate': 3.246402877697842e-05, 'epoch': 3.52} - 35%|████████████████████████████████████████████▉ | 1970/5570 [31:19<48:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4339219033718109, 'eval_runtime': 1.5164, 'eval_samples_per_second': 474.805, 'eval_steps_per_second': 3.957, 'epoch': 3.52} -{'loss': 0.4277, 'grad_norm': 1.209147334098816, 'learning_rate': 3.245503597122302e-05, 'epoch': 3.52} -{'loss': 0.4465, 'grad_norm': 2.626241445541382, 'learning_rate': 3.244604316546763e-05, 'epoch': 3.52} -{'loss': 0.4345, 'grad_norm': 1.2695757150650024, 'learning_rate': 3.243705035971224e-05, 'epoch': 3.52} -{'loss': 0.4386, 'grad_norm': 2.7152059078216553, 'learning_rate': 3.2428057553956835e-05, 'epoch': 3.53} -{'loss': 0.4353, 'grad_norm': 3.1529998779296875, 'learning_rate': 3.241906474820144e-05, 'epoch': 3.53} -{'loss': 0.4425, 'grad_norm': 1.461166501045227, 'learning_rate': 3.241007194244605e-05, 'epoch': 3.53} -{'loss': 0.4275, 'grad_norm': 2.600679397583008, 'learning_rate': 3.2401079136690646e-05, 'epoch': 3.53} -{'loss': 0.4451, 'grad_norm': 1.5468398332595825, 'learning_rate': 3.239208633093525e-05, 'epoch': 3.53} -{'loss': 0.4305, 'grad_norm': 2.3158631324768066, 'learning_rate': 3.238309352517986e-05, 'epoch': 3.54} -{'loss': 0.4314, 'grad_norm': 2.7636876106262207, 'learning_rate': 3.237410071942446e-05, 'epoch': 3.54} - 36%|█████████████████████████████████████████████▏ | 1980/5570 [31:28<48:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.436149001121521, 'eval_runtime': 1.5374, 'eval_samples_per_second': 468.314, 'eval_steps_per_second': 3.903, 'epoch': 3.54} -{'loss': 0.4438, 'grad_norm': 2.3407628536224365, 'learning_rate': 3.236510791366907e-05, 'epoch': 3.54} -{'loss': 0.4376, 'grad_norm': 1.3639026880264282, 'learning_rate': 3.235611510791367e-05, 'epoch': 3.54} -{'loss': 0.4468, 'grad_norm': 2.3841769695281982, 'learning_rate': 3.234712230215827e-05, 'epoch': 3.54} -{'loss': 0.4444, 'grad_norm': 2.642211675643921, 'learning_rate': 3.233812949640288e-05, 'epoch': 3.54} -{'loss': 0.4518, 'grad_norm': 3.4353861808776855, 'learning_rate': 3.2329136690647484e-05, 'epoch': 3.55} -{'loss': 0.4299, 'grad_norm': 1.8792812824249268, 'learning_rate': 3.232014388489209e-05, 'epoch': 3.55} -{'loss': 0.4393, 'grad_norm': 2.601134777069092, 'learning_rate': 3.231115107913669e-05, 'epoch': 3.55} -{'loss': 0.444, 'grad_norm': 1.9644933938980103, 'learning_rate': 3.2302158273381295e-05, 'epoch': 3.55} -{'loss': 0.4451, 'grad_norm': 2.6102077960968018, 'learning_rate': 3.22931654676259e-05, 'epoch': 3.55} -{'loss': 0.4399, 'grad_norm': 2.6538219451904297, 'learning_rate': 3.22841726618705e-05, 'epoch': 3.55} - 36%|█████████████████████████████████████████████▎ | 1990/5570 [31:38<49:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43874919414520264, 'eval_runtime': 1.5489, 'eval_samples_per_second': 464.85, 'eval_steps_per_second': 3.874, 'epoch': 3.55} -{'loss': 0.4379, 'grad_norm': 2.018139123916626, 'learning_rate': 3.2275179856115114e-05, 'epoch': 3.56} -{'loss': 0.4351, 'grad_norm': 3.094820499420166, 'learning_rate': 3.226618705035971e-05, 'epoch': 3.56} -{'loss': 0.4426, 'grad_norm': 3.0776987075805664, 'learning_rate': 3.2257194244604315e-05, 'epoch': 3.56} -{'loss': 0.4324, 'grad_norm': 1.9751614332199097, 'learning_rate': 3.2248201438848925e-05, 'epoch': 3.56} -{'loss': 0.4452, 'grad_norm': 1.784203052520752, 'learning_rate': 3.223920863309353e-05, 'epoch': 3.56} -{'loss': 0.4355, 'grad_norm': 1.9042388200759888, 'learning_rate': 3.2230215827338126e-05, 'epoch': 3.57} -{'loss': 0.4388, 'grad_norm': 1.8746960163116455, 'learning_rate': 3.222122302158274e-05, 'epoch': 3.57} -{'loss': 0.4447, 'grad_norm': 1.8799233436584473, 'learning_rate': 3.221223021582734e-05, 'epoch': 3.57} -{'loss': 0.4444, 'grad_norm': 1.5205239057540894, 'learning_rate': 3.2203237410071945e-05, 'epoch': 3.57} -{'loss': 0.4369, 'grad_norm': 2.5699660778045654, 'learning_rate': 3.219424460431655e-05, 'epoch': 3.57} - 36%|█████████████████████████████████████████████▌ | 2000/5570 [31:48<48:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43448448181152344, 'eval_runtime': 1.521, 'eval_samples_per_second': 473.382, 'eval_steps_per_second': 3.945, 'epoch': 3.57} -{'loss': 0.4377, 'grad_norm': 3.1534202098846436, 'learning_rate': 3.218525179856115e-05, 'epoch': 3.57} -{'loss': 0.4339, 'grad_norm': 1.206923007965088, 'learning_rate': 3.2176258992805756e-05, 'epoch': 3.58} -{'loss': 0.4411, 'grad_norm': 3.2059168815612793, 'learning_rate': 3.216726618705036e-05, 'epoch': 3.58} -{'loss': 0.4344, 'grad_norm': 1.3396413326263428, 'learning_rate': 3.215827338129497e-05, 'epoch': 3.58} -{'loss': 0.4345, 'grad_norm': 1.7377113103866577, 'learning_rate': 3.214928057553957e-05, 'epoch': 3.58} -{'loss': 0.4373, 'grad_norm': 2.54638409614563, 'learning_rate': 3.214028776978417e-05, 'epoch': 3.58} -{'loss': 0.4384, 'grad_norm': 1.6684646606445312, 'learning_rate': 3.213129496402878e-05, 'epoch': 3.59} -{'loss': 0.4453, 'grad_norm': 1.9515602588653564, 'learning_rate': 3.212230215827338e-05, 'epoch': 3.59} -{'loss': 0.4443, 'grad_norm': 1.8966028690338135, 'learning_rate': 3.211330935251799e-05, 'epoch': 3.59} -{'loss': 0.4457, 'grad_norm': 2.4826221466064453, 'learning_rate': 3.2104316546762594e-05, 'epoch': 3.59} - 36%|█████████████████████████████████████████████▊ | 2010/5570 [31:57<48:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43454572558403015, 'eval_runtime': 1.5213, 'eval_samples_per_second': 473.281, 'eval_steps_per_second': 3.944, 'epoch': 3.59} -{'loss': 0.438, 'grad_norm': 1.3027888536453247, 'learning_rate': 3.209532374100719e-05, 'epoch': 3.59} -{'loss': 0.4307, 'grad_norm': 1.2499016523361206, 'learning_rate': 3.20863309352518e-05, 'epoch': 3.59} -{'loss': 0.4404, 'grad_norm': 2.160154104232788, 'learning_rate': 3.2077338129496405e-05, 'epoch': 3.6} -{'loss': 0.4301, 'grad_norm': 2.824540138244629, 'learning_rate': 3.206834532374101e-05, 'epoch': 3.6} -{'loss': 0.4367, 'grad_norm': 3.0034072399139404, 'learning_rate': 3.205935251798561e-05, 'epoch': 3.6} -{'loss': 0.4416, 'grad_norm': 4.168039321899414, 'learning_rate': 3.205035971223022e-05, 'epoch': 3.6} -{'loss': 0.4396, 'grad_norm': 2.5491390228271484, 'learning_rate': 3.204136690647482e-05, 'epoch': 3.6} -{'loss': 0.4557, 'grad_norm': 2.5514936447143555, 'learning_rate': 3.2032374100719425e-05, 'epoch': 3.61} -{'loss': 0.4317, 'grad_norm': 2.220489740371704, 'learning_rate': 3.202338129496403e-05, 'epoch': 3.61} -{'loss': 0.4327, 'grad_norm': 1.4389649629592896, 'learning_rate': 3.201438848920863e-05, 'epoch': 3.61} - 36%|██████████████████████████████████████████████ | 2020/5570 [32:07<48:22, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43599802255630493, 'eval_runtime': 1.5261, 'eval_samples_per_second': 471.792, 'eval_steps_per_second': 3.932, 'epoch': 3.61} -{'loss': 0.4329, 'grad_norm': 1.3988722562789917, 'learning_rate': 3.2005395683453236e-05, 'epoch': 3.61} -{'loss': 0.4386, 'grad_norm': 3.9353010654449463, 'learning_rate': 3.199640287769785e-05, 'epoch': 3.61} -{'loss': 0.4392, 'grad_norm': 2.613180160522461, 'learning_rate': 3.198741007194245e-05, 'epoch': 3.61} -{'loss': 0.4444, 'grad_norm': 2.565089225769043, 'learning_rate': 3.197841726618705e-05, 'epoch': 3.62} -{'loss': 0.443, 'grad_norm': 3.814739465713501, 'learning_rate': 3.196942446043166e-05, 'epoch': 3.62} -{'loss': 0.4301, 'grad_norm': 1.6439664363861084, 'learning_rate': 3.196043165467626e-05, 'epoch': 3.62} -{'loss': 0.4427, 'grad_norm': 5.350013732910156, 'learning_rate': 3.1951438848920866e-05, 'epoch': 3.62} -{'loss': 0.4357, 'grad_norm': 3.6300158500671387, 'learning_rate': 3.194244604316547e-05, 'epoch': 3.62} -{'loss': 0.4311, 'grad_norm': 1.4816250801086426, 'learning_rate': 3.1933453237410074e-05, 'epoch': 3.62} -{'loss': 0.4332, 'grad_norm': 2.071535587310791, 'learning_rate': 3.192446043165468e-05, 'epoch': 3.63} - 36%|██████████████████████████████████████████████▎ | 2030/5570 [32:16<47:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43685176968574524, 'eval_runtime': 1.525, 'eval_samples_per_second': 472.141, 'eval_steps_per_second': 3.935, 'epoch': 3.63} -{'loss': 0.4387, 'grad_norm': 2.037600517272949, 'learning_rate': 3.191546762589928e-05, 'epoch': 3.63} -{'loss': 0.4404, 'grad_norm': 1.8692374229431152, 'learning_rate': 3.190647482014389e-05, 'epoch': 3.63} -{'loss': 0.4434, 'grad_norm': 3.027064800262451, 'learning_rate': 3.189748201438849e-05, 'epoch': 3.63} -{'loss': 0.4321, 'grad_norm': 2.845168352127075, 'learning_rate': 3.188848920863309e-05, 'epoch': 3.63} -{'loss': 0.4291, 'grad_norm': 1.7474324703216553, 'learning_rate': 3.1879496402877704e-05, 'epoch': 3.64} -{'loss': 0.432, 'grad_norm': 2.23221755027771, 'learning_rate': 3.18705035971223e-05, 'epoch': 3.64} -{'loss': 0.4382, 'grad_norm': 1.840462327003479, 'learning_rate': 3.1861510791366905e-05, 'epoch': 3.64} -{'loss': 0.441, 'grad_norm': 2.23346209526062, 'learning_rate': 3.1852517985611515e-05, 'epoch': 3.64} -{'loss': 0.4493, 'grad_norm': 2.29955792427063, 'learning_rate': 3.184352517985611e-05, 'epoch': 3.64} -{'loss': 0.4418, 'grad_norm': 3.9767162799835205, 'learning_rate': 3.183453237410072e-05, 'epoch': 3.64} - 37%|██████████████████████████████████████████████▌ | 2040/5570 [32:26<47:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4339209198951721, 'eval_runtime': 1.5278, 'eval_samples_per_second': 471.278, 'eval_steps_per_second': 3.927, 'epoch': 3.64} -{'loss': 0.4343, 'grad_norm': 1.8132176399230957, 'learning_rate': 3.182553956834533e-05, 'epoch': 3.65} -{'loss': 0.4336, 'grad_norm': 3.5198099613189697, 'learning_rate': 3.1816546762589924e-05, 'epoch': 3.65} -{'loss': 0.426, 'grad_norm': 1.982473373413086, 'learning_rate': 3.1807553956834535e-05, 'epoch': 3.65} -{'loss': 0.4292, 'grad_norm': 1.291455626487732, 'learning_rate': 3.179856115107914e-05, 'epoch': 3.65} -{'loss': 0.4307, 'grad_norm': 1.2918888330459595, 'learning_rate': 3.178956834532374e-05, 'epoch': 3.65} -{'loss': 0.4334, 'grad_norm': 3.270456552505493, 'learning_rate': 3.1780575539568346e-05, 'epoch': 3.66} -{'loss': 0.4265, 'grad_norm': 2.0453057289123535, 'learning_rate': 3.177158273381295e-05, 'epoch': 3.66} -{'loss': 0.4232, 'grad_norm': 2.557546854019165, 'learning_rate': 3.1762589928057554e-05, 'epoch': 3.66} -{'loss': 0.4315, 'grad_norm': 2.519176483154297, 'learning_rate': 3.175359712230216e-05, 'epoch': 3.66} -{'loss': 0.4373, 'grad_norm': 1.3558406829833984, 'learning_rate': 3.174460431654677e-05, 'epoch': 3.66} - 37%|██████████████████████████████████████████████▋ | 2050/5570 [32:35<47:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43654006719589233, 'eval_runtime': 1.5202, 'eval_samples_per_second': 473.611, 'eval_steps_per_second': 3.947, 'epoch': 3.66} -{'loss': 0.4327, 'grad_norm': 2.359722375869751, 'learning_rate': 3.1735611510791365e-05, 'epoch': 3.66} -{'loss': 0.4399, 'grad_norm': 3.2010080814361572, 'learning_rate': 3.172661870503597e-05, 'epoch': 3.67} -{'loss': 0.4428, 'grad_norm': 2.6562814712524414, 'learning_rate': 3.171762589928058e-05, 'epoch': 3.67} -{'loss': 0.4285, 'grad_norm': 2.3958518505096436, 'learning_rate': 3.1708633093525184e-05, 'epoch': 3.67} -{'loss': 0.4312, 'grad_norm': 1.8798834085464478, 'learning_rate': 3.169964028776979e-05, 'epoch': 3.67} -{'loss': 0.4404, 'grad_norm': 1.2384936809539795, 'learning_rate': 3.169064748201439e-05, 'epoch': 3.67} -{'loss': 0.4418, 'grad_norm': 2.411548376083374, 'learning_rate': 3.1681654676258995e-05, 'epoch': 3.68} -{'loss': 0.4389, 'grad_norm': 2.0195095539093018, 'learning_rate': 3.16726618705036e-05, 'epoch': 3.68} -{'loss': 0.4352, 'grad_norm': 2.321197748184204, 'learning_rate': 3.16636690647482e-05, 'epoch': 3.68} -{'loss': 0.4498, 'grad_norm': 1.5709623098373413, 'learning_rate': 3.165467625899281e-05, 'epoch': 3.68} - 37%|██████████████████████████████████████████████▉ | 2060/5570 [32:45<47:11, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43519309163093567, 'eval_runtime': 1.5234, 'eval_samples_per_second': 472.62, 'eval_steps_per_second': 3.939, 'epoch': 3.68} -{'loss': 0.4369, 'grad_norm': 1.6735175848007202, 'learning_rate': 3.164568345323741e-05, 'epoch': 3.68} -{'loss': 0.4286, 'grad_norm': 2.5626699924468994, 'learning_rate': 3.1636690647482015e-05, 'epoch': 3.68} -{'loss': 0.4347, 'grad_norm': 2.6991868019104004, 'learning_rate': 3.1627697841726625e-05, 'epoch': 3.69} -{'loss': 0.4326, 'grad_norm': 2.0071048736572266, 'learning_rate': 3.161870503597122e-05, 'epoch': 3.69} -{'loss': 0.4542, 'grad_norm': 3.4233744144439697, 'learning_rate': 3.1609712230215826e-05, 'epoch': 3.69} -{'loss': 0.4364, 'grad_norm': 2.8063290119171143, 'learning_rate': 3.160071942446044e-05, 'epoch': 3.69} -{'loss': 0.444, 'grad_norm': 2.5909228324890137, 'learning_rate': 3.1591726618705034e-05, 'epoch': 3.69} -{'loss': 0.4393, 'grad_norm': 3.415536403656006, 'learning_rate': 3.1582733812949644e-05, 'epoch': 3.69} -{'loss': 0.4488, 'grad_norm': 5.3082733154296875, 'learning_rate': 3.157374100719425e-05, 'epoch': 3.7} -{'loss': 0.4373, 'grad_norm': 3.8667142391204834, 'learning_rate': 3.1564748201438845e-05, 'epoch': 3.7} - 37%|███████████████████████████████████████████████▏ | 2070/5570 [32:54<47:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4330970346927643, 'eval_runtime': 1.5257, 'eval_samples_per_second': 471.899, 'eval_steps_per_second': 3.932, 'epoch': 3.7} -{'loss': 0.4317, 'grad_norm': 1.7393375635147095, 'learning_rate': 3.1555755395683456e-05, 'epoch': 3.7} -{'loss': 0.4391, 'grad_norm': 2.9645838737487793, 'learning_rate': 3.154676258992806e-05, 'epoch': 3.7} -{'loss': 0.4369, 'grad_norm': 2.952321767807007, 'learning_rate': 3.1537769784172664e-05, 'epoch': 3.7} -{'loss': 0.4417, 'grad_norm': 2.212148666381836, 'learning_rate': 3.152877697841727e-05, 'epoch': 3.71} -{'loss': 0.4393, 'grad_norm': 1.9187108278274536, 'learning_rate': 3.151978417266187e-05, 'epoch': 3.71} -{'loss': 0.443, 'grad_norm': 4.0270676612854, 'learning_rate': 3.1510791366906475e-05, 'epoch': 3.71} -{'loss': 0.4347, 'grad_norm': 1.975881576538086, 'learning_rate': 3.150179856115108e-05, 'epoch': 3.71} -{'loss': 0.4404, 'grad_norm': 1.4660766124725342, 'learning_rate': 3.149280575539568e-05, 'epoch': 3.71} -{'loss': 0.4299, 'grad_norm': 1.2098358869552612, 'learning_rate': 3.148381294964029e-05, 'epoch': 3.71} -{'loss': 0.4428, 'grad_norm': 3.086515188217163, 'learning_rate': 3.147482014388489e-05, 'epoch': 3.72} - 37%|███████████████████████████████████████████████▍ | 2080/5570 [33:04<47:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4327394664287567, 'eval_runtime': 1.5195, 'eval_samples_per_second': 473.837, 'eval_steps_per_second': 3.949, 'epoch': 3.72} -{'loss': 0.4381, 'grad_norm': 1.3686245679855347, 'learning_rate': 3.14658273381295e-05, 'epoch': 3.72} -{'loss': 0.4283, 'grad_norm': 2.0317623615264893, 'learning_rate': 3.1456834532374105e-05, 'epoch': 3.72} -{'loss': 0.4435, 'grad_norm': 2.441197156906128, 'learning_rate': 3.14478417266187e-05, 'epoch': 3.72} -{'loss': 0.4355, 'grad_norm': 1.1437734365463257, 'learning_rate': 3.143884892086331e-05, 'epoch': 3.72} -{'loss': 0.4405, 'grad_norm': 1.921108365058899, 'learning_rate': 3.142985611510792e-05, 'epoch': 3.73} -{'loss': 0.4312, 'grad_norm': 2.382662773132324, 'learning_rate': 3.142086330935252e-05, 'epoch': 3.73} -{'loss': 0.4362, 'grad_norm': 1.8523837327957153, 'learning_rate': 3.1411870503597124e-05, 'epoch': 3.73} -{'loss': 0.4367, 'grad_norm': 2.9474217891693115, 'learning_rate': 3.140287769784173e-05, 'epoch': 3.73} -{'loss': 0.4429, 'grad_norm': 3.290544271469116, 'learning_rate': 3.139388489208633e-05, 'epoch': 3.73} -{'loss': 0.4316, 'grad_norm': 2.3272509574890137, 'learning_rate': 3.1384892086330936e-05, 'epoch': 3.73} - 38%|███████████████████████████████████████████████▋ | 2090/5570 [33:13<47:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43665602803230286, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.4, 'eval_steps_per_second': 3.92, 'epoch': 3.73} -{'loss': 0.4421, 'grad_norm': 3.0703022480010986, 'learning_rate': 3.137589928057555e-05, 'epoch': 3.74} -{'loss': 0.4515, 'grad_norm': 4.794368743896484, 'learning_rate': 3.1366906474820144e-05, 'epoch': 3.74} -{'loss': 0.4507, 'grad_norm': 2.836505889892578, 'learning_rate': 3.135791366906475e-05, 'epoch': 3.74} -{'loss': 0.4365, 'grad_norm': 3.206256151199341, 'learning_rate': 3.134892086330936e-05, 'epoch': 3.74} -{'loss': 0.4433, 'grad_norm': 2.2613143920898438, 'learning_rate': 3.1339928057553955e-05, 'epoch': 3.74} -{'loss': 0.4347, 'grad_norm': 2.0229339599609375, 'learning_rate': 3.133093525179856e-05, 'epoch': 3.75} -{'loss': 0.4315, 'grad_norm': 2.4606106281280518, 'learning_rate': 3.132194244604317e-05, 'epoch': 3.75} -{'loss': 0.4359, 'grad_norm': 1.2306910753250122, 'learning_rate': 3.131294964028777e-05, 'epoch': 3.75} -{'loss': 0.4305, 'grad_norm': 1.9795228242874146, 'learning_rate': 3.130395683453238e-05, 'epoch': 3.75} -{'loss': 0.4404, 'grad_norm': 2.5767390727996826, 'learning_rate': 3.129496402877698e-05, 'epoch': 3.75} - 38%|███████████████████████████████████████████████▉ | 2100/5570 [33:23<47:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43270179629325867, 'eval_runtime': 1.5112, 'eval_samples_per_second': 476.457, 'eval_steps_per_second': 3.97, 'epoch': 3.75} -{'loss': 0.4348, 'grad_norm': 1.5489686727523804, 'learning_rate': 3.128597122302158e-05, 'epoch': 3.75} -{'loss': 0.447, 'grad_norm': 3.663822889328003, 'learning_rate': 3.127697841726619e-05, 'epoch': 3.76} -{'loss': 0.4357, 'grad_norm': 3.0020551681518555, 'learning_rate': 3.126798561151079e-05, 'epoch': 3.76} -{'loss': 0.4356, 'grad_norm': 2.6003520488739014, 'learning_rate': 3.12589928057554e-05, 'epoch': 3.76} -{'loss': 0.4332, 'grad_norm': 3.0715272426605225, 'learning_rate': 3.125e-05, 'epoch': 3.76} -{'loss': 0.436, 'grad_norm': 2.1319046020507812, 'learning_rate': 3.1241007194244605e-05, 'epoch': 3.76} -{'loss': 0.4479, 'grad_norm': 3.3165853023529053, 'learning_rate': 3.123201438848921e-05, 'epoch': 3.76} -{'loss': 0.4431, 'grad_norm': 2.563988447189331, 'learning_rate': 3.122302158273381e-05, 'epoch': 3.77} -{'loss': 0.4286, 'grad_norm': 2.3867523670196533, 'learning_rate': 3.121402877697842e-05, 'epoch': 3.77} -{'loss': 0.4378, 'grad_norm': 3.0990617275238037, 'learning_rate': 3.120503597122303e-05, 'epoch': 3.77} - 38%|████████████████████████████████████████████████ | 2110/5570 [33:32<47:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43386852741241455, 'eval_runtime': 1.5227, 'eval_samples_per_second': 472.839, 'eval_steps_per_second': 3.94, 'epoch': 3.77} -{'loss': 0.4238, 'grad_norm': 1.2415351867675781, 'learning_rate': 3.1196043165467624e-05, 'epoch': 3.77} -{'loss': 0.4333, 'grad_norm': 2.2191386222839355, 'learning_rate': 3.1187050359712234e-05, 'epoch': 3.77} -{'loss': 0.4422, 'grad_norm': 2.987603187561035, 'learning_rate': 3.117805755395684e-05, 'epoch': 3.78} -{'loss': 0.4392, 'grad_norm': 3.016278028488159, 'learning_rate': 3.116906474820144e-05, 'epoch': 3.78} -{'loss': 0.4321, 'grad_norm': 2.154526710510254, 'learning_rate': 3.1160071942446046e-05, 'epoch': 3.78} -{'loss': 0.4413, 'grad_norm': 2.4291832447052, 'learning_rate': 3.115107913669065e-05, 'epoch': 3.78} -{'loss': 0.4274, 'grad_norm': 3.317669630050659, 'learning_rate': 3.1142086330935254e-05, 'epoch': 3.78} -{'loss': 0.4407, 'grad_norm': 2.202594757080078, 'learning_rate': 3.113309352517986e-05, 'epoch': 3.78} -{'loss': 0.4389, 'grad_norm': 3.784440517425537, 'learning_rate': 3.112410071942446e-05, 'epoch': 3.79} -{'loss': 0.43, 'grad_norm': 2.844158172607422, 'learning_rate': 3.1115107913669065e-05, 'epoch': 3.79} - 38%|████████████████████████████████████████████████▎ | 2120/5570 [33:42<46:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43646544218063354, 'eval_runtime': 1.5262, 'eval_samples_per_second': 471.755, 'eval_steps_per_second': 3.931, 'epoch': 3.79} -{'loss': 0.423, 'grad_norm': 3.029541254043579, 'learning_rate': 3.110611510791367e-05, 'epoch': 3.79} -{'loss': 0.4394, 'grad_norm': 2.71244215965271, 'learning_rate': 3.109712230215828e-05, 'epoch': 3.79} -{'loss': 0.4268, 'grad_norm': 2.3402633666992188, 'learning_rate': 3.108812949640288e-05, 'epoch': 3.79} -{'loss': 0.4375, 'grad_norm': 4.005494117736816, 'learning_rate': 3.107913669064748e-05, 'epoch': 3.8} -{'loss': 0.444, 'grad_norm': 2.950941562652588, 'learning_rate': 3.107014388489209e-05, 'epoch': 3.8} -{'loss': 0.435, 'grad_norm': 1.7314318418502808, 'learning_rate': 3.106115107913669e-05, 'epoch': 3.8} -{'loss': 0.4343, 'grad_norm': 2.679852247238159, 'learning_rate': 3.10521582733813e-05, 'epoch': 3.8} -{'loss': 0.4315, 'grad_norm': 1.7445918321609497, 'learning_rate': 3.10431654676259e-05, 'epoch': 3.8} -{'loss': 0.4457, 'grad_norm': 2.504608392715454, 'learning_rate': 3.10341726618705e-05, 'epoch': 3.8} -{'loss': 0.4263, 'grad_norm': 1.3621673583984375, 'learning_rate': 3.102517985611511e-05, 'epoch': 3.81} - 38%|████████████████████████████████████████████████▌ | 2130/5570 [33:52<46:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43742498755455017, 'eval_runtime': 1.5248, 'eval_samples_per_second': 472.205, 'eval_steps_per_second': 3.935, 'epoch': 3.81} -{'loss': 0.4376, 'grad_norm': 2.6092171669006348, 'learning_rate': 3.1016187050359714e-05, 'epoch': 3.81} -{'loss': 0.4408, 'grad_norm': 3.230215549468994, 'learning_rate': 3.100719424460432e-05, 'epoch': 3.81} -{'loss': 0.4433, 'grad_norm': 3.1751668453216553, 'learning_rate': 3.099820143884892e-05, 'epoch': 3.81} -{'loss': 0.436, 'grad_norm': 2.717766761779785, 'learning_rate': 3.0989208633093526e-05, 'epoch': 3.81} -{'loss': 0.4504, 'grad_norm': 3.074327230453491, 'learning_rate': 3.098021582733813e-05, 'epoch': 3.82} -{'loss': 0.436, 'grad_norm': 2.70745849609375, 'learning_rate': 3.0971223021582734e-05, 'epoch': 3.82} -{'loss': 0.4375, 'grad_norm': 2.810077667236328, 'learning_rate': 3.096223021582734e-05, 'epoch': 3.82} -{'loss': 0.4424, 'grad_norm': 2.2573304176330566, 'learning_rate': 3.095323741007194e-05, 'epoch': 3.82} -{'loss': 0.4421, 'grad_norm': 3.5892770290374756, 'learning_rate': 3.0944244604316545e-05, 'epoch': 3.82} -{'loss': 0.4353, 'grad_norm': 1.925344467163086, 'learning_rate': 3.0935251798561156e-05, 'epoch': 3.82} - 38%|████████████████████████████████████████████████▊ | 2140/5570 [34:01<46:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43629133701324463, 'eval_runtime': 1.5281, 'eval_samples_per_second': 471.173, 'eval_steps_per_second': 3.926, 'epoch': 3.82} -{'loss': 0.4405, 'grad_norm': 2.2802343368530273, 'learning_rate': 3.092625899280576e-05, 'epoch': 3.83} -{'loss': 0.4318, 'grad_norm': 2.8811545372009277, 'learning_rate': 3.091726618705036e-05, 'epoch': 3.83} -{'loss': 0.4239, 'grad_norm': 1.4384750127792358, 'learning_rate': 3.090827338129497e-05, 'epoch': 3.83} -{'loss': 0.4425, 'grad_norm': 1.9127044677734375, 'learning_rate': 3.089928057553957e-05, 'epoch': 3.83} -{'loss': 0.4382, 'grad_norm': 2.0400583744049072, 'learning_rate': 3.0890287769784175e-05, 'epoch': 3.83} -{'loss': 0.4386, 'grad_norm': 2.4019482135772705, 'learning_rate': 3.088129496402878e-05, 'epoch': 3.83} -{'loss': 0.4336, 'grad_norm': 1.4564948081970215, 'learning_rate': 3.087230215827338e-05, 'epoch': 3.84} -{'loss': 0.4292, 'grad_norm': 1.1613130569458008, 'learning_rate': 3.086330935251799e-05, 'epoch': 3.84} -{'loss': 0.4347, 'grad_norm': 1.560599446296692, 'learning_rate': 3.085431654676259e-05, 'epoch': 3.84} -{'loss': 0.4281, 'grad_norm': 1.3901889324188232, 'learning_rate': 3.08453237410072e-05, 'epoch': 3.84} - 39%|█████████████████████████████████████████████████ | 2150/5570 [34:11<46:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43486523628234863, 'eval_runtime': 1.5405, 'eval_samples_per_second': 467.367, 'eval_steps_per_second': 3.895, 'epoch': 3.84} -{'loss': 0.4422, 'grad_norm': 3.240417242050171, 'learning_rate': 3.08363309352518e-05, 'epoch': 3.84} -{'loss': 0.4436, 'grad_norm': 2.369943857192993, 'learning_rate': 3.08273381294964e-05, 'epoch': 3.85} -{'loss': 0.4333, 'grad_norm': 3.1966073513031006, 'learning_rate': 3.081834532374101e-05, 'epoch': 3.85} -{'loss': 0.4459, 'grad_norm': 2.2871615886688232, 'learning_rate': 3.080935251798561e-05, 'epoch': 3.85} -{'loss': 0.4394, 'grad_norm': 2.8259758949279785, 'learning_rate': 3.0800359712230214e-05, 'epoch': 3.85} -{'loss': 0.4324, 'grad_norm': 2.1922900676727295, 'learning_rate': 3.0791366906474824e-05, 'epoch': 3.85} -{'loss': 0.4354, 'grad_norm': 1.7983101606369019, 'learning_rate': 3.078237410071942e-05, 'epoch': 3.85} -{'loss': 0.4451, 'grad_norm': 2.1773252487182617, 'learning_rate': 3.077338129496403e-05, 'epoch': 3.86} -{'loss': 0.4339, 'grad_norm': 1.5035102367401123, 'learning_rate': 3.0764388489208636e-05, 'epoch': 3.86} -{'loss': 0.4283, 'grad_norm': 1.1018515825271606, 'learning_rate': 3.075539568345324e-05, 'epoch': 3.86} - 39%|█████████████████████████████████████████████████▏ | 2160/5570 [34:20<46:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4356823265552521, 'eval_runtime': 1.5201, 'eval_samples_per_second': 473.662, 'eval_steps_per_second': 3.947, 'epoch': 3.86} -{'loss': 0.4308, 'grad_norm': 2.6459271907806396, 'learning_rate': 3.0746402877697844e-05, 'epoch': 3.86} -{'loss': 0.4434, 'grad_norm': 1.8290696144104004, 'learning_rate': 3.073741007194245e-05, 'epoch': 3.86} -{'loss': 0.4304, 'grad_norm': 1.0271402597427368, 'learning_rate': 3.072841726618705e-05, 'epoch': 3.87} -{'loss': 0.4463, 'grad_norm': 3.3608486652374268, 'learning_rate': 3.0719424460431655e-05, 'epoch': 3.87} -{'loss': 0.4521, 'grad_norm': 3.570377826690674, 'learning_rate': 3.071043165467626e-05, 'epoch': 3.87} -{'loss': 0.4477, 'grad_norm': 3.2546491622924805, 'learning_rate': 3.070143884892086e-05, 'epoch': 3.87} -{'loss': 0.44, 'grad_norm': 2.3716535568237305, 'learning_rate': 3.069244604316547e-05, 'epoch': 3.87} -{'loss': 0.4405, 'grad_norm': 4.106908798217773, 'learning_rate': 3.068345323741008e-05, 'epoch': 3.87} -{'loss': 0.4387, 'grad_norm': 3.7558488845825195, 'learning_rate': 3.067446043165468e-05, 'epoch': 3.88} -{'loss': 0.4392, 'grad_norm': 2.130793333053589, 'learning_rate': 3.066546762589928e-05, 'epoch': 3.88} - 39%|█████████████████████████████████████████████████▍ | 2170/5570 [34:30<45:46, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4388105273246765, 'eval_runtime': 1.5422, 'eval_samples_per_second': 466.869, 'eval_steps_per_second': 3.891, 'epoch': 3.88} -{'loss': 0.4395, 'grad_norm': 2.689729690551758, 'learning_rate': 3.065647482014389e-05, 'epoch': 3.88} -{'loss': 0.4479, 'grad_norm': 5.365299224853516, 'learning_rate': 3.064748201438849e-05, 'epoch': 3.88} -{'loss': 0.4472, 'grad_norm': 3.3752384185791016, 'learning_rate': 3.06384892086331e-05, 'epoch': 3.88} -{'loss': 0.4431, 'grad_norm': 2.699648857116699, 'learning_rate': 3.06294964028777e-05, 'epoch': 3.89} -{'loss': 0.4351, 'grad_norm': 3.4395599365234375, 'learning_rate': 3.0620503597122304e-05, 'epoch': 3.89} -{'loss': 0.4466, 'grad_norm': 4.164021968841553, 'learning_rate': 3.061151079136691e-05, 'epoch': 3.89} -{'loss': 0.441, 'grad_norm': 3.412320137023926, 'learning_rate': 3.060251798561151e-05, 'epoch': 3.89} -{'loss': 0.437, 'grad_norm': 2.839794158935547, 'learning_rate': 3.0593525179856116e-05, 'epoch': 3.89} -{'loss': 0.4356, 'grad_norm': 1.9950209856033325, 'learning_rate': 3.058453237410072e-05, 'epoch': 3.89} -{'loss': 0.4366, 'grad_norm': 3.296757221221924, 'learning_rate': 3.0575539568345324e-05, 'epoch': 3.9} - 39%|█████████████████████████████████████████████████▋ | 2180/5570 [34:39<45:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44005587697029114, 'eval_runtime': 1.522, 'eval_samples_per_second': 473.046, 'eval_steps_per_second': 3.942, 'epoch': 3.9} -{'loss': 0.4336, 'grad_norm': 2.1395833492279053, 'learning_rate': 3.0566546762589934e-05, 'epoch': 3.9} -{'loss': 0.4398, 'grad_norm': 3.763589382171631, 'learning_rate': 3.055755395683453e-05, 'epoch': 3.9} -{'loss': 0.4432, 'grad_norm': 1.1587432622909546, 'learning_rate': 3.0548561151079135e-05, 'epoch': 3.9} -{'loss': 0.4393, 'grad_norm': 3.4484517574310303, 'learning_rate': 3.0539568345323746e-05, 'epoch': 3.9} -{'loss': 0.4526, 'grad_norm': 3.6295065879821777, 'learning_rate': 3.053057553956834e-05, 'epoch': 3.9} -{'loss': 0.4311, 'grad_norm': 1.5360040664672852, 'learning_rate': 3.0521582733812953e-05, 'epoch': 3.91} -{'loss': 0.4443, 'grad_norm': 5.414783954620361, 'learning_rate': 3.0512589928057554e-05, 'epoch': 3.91} -{'loss': 0.4527, 'grad_norm': 5.753530502319336, 'learning_rate': 3.0503597122302158e-05, 'epoch': 3.91} -{'loss': 0.4476, 'grad_norm': 3.717625617980957, 'learning_rate': 3.0494604316546765e-05, 'epoch': 3.91} -{'loss': 0.4393, 'grad_norm': 2.8750498294830322, 'learning_rate': 3.048561151079137e-05, 'epoch': 3.91} - 39%|█████████████████████████████████████████████████▉ | 2190/5570 [34:49<45:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4382249712944031, 'eval_runtime': 1.5122, 'eval_samples_per_second': 476.132, 'eval_steps_per_second': 3.968, 'epoch': 3.91} -{'loss': 0.4451, 'grad_norm': 3.867741823196411, 'learning_rate': 3.0476618705035976e-05, 'epoch': 3.92} -{'loss': 0.4268, 'grad_norm': 2.1262130737304688, 'learning_rate': 3.0467625899280577e-05, 'epoch': 3.92} -{'loss': 0.4426, 'grad_norm': 4.118032455444336, 'learning_rate': 3.045863309352518e-05, 'epoch': 3.92} -{'loss': 0.4471, 'grad_norm': 5.756503105163574, 'learning_rate': 3.0449640287769788e-05, 'epoch': 3.92} -{'loss': 0.4425, 'grad_norm': 2.1133992671966553, 'learning_rate': 3.0440647482014388e-05, 'epoch': 3.92} -{'loss': 0.4406, 'grad_norm': 2.916874408721924, 'learning_rate': 3.0431654676258992e-05, 'epoch': 3.92} -{'loss': 0.4425, 'grad_norm': 2.3242738246917725, 'learning_rate': 3.04226618705036e-05, 'epoch': 3.93} -{'loss': 0.4392, 'grad_norm': 1.7236407995224, 'learning_rate': 3.04136690647482e-05, 'epoch': 3.93} -{'loss': 0.4386, 'grad_norm': 3.6937785148620605, 'learning_rate': 3.040467625899281e-05, 'epoch': 3.93} -{'loss': 0.4313, 'grad_norm': 2.5750386714935303, 'learning_rate': 3.039568345323741e-05, 'epoch': 3.93} - 39%|██████████████████████████████████████████████████▏ | 2200/5570 [34:58<45:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4336855113506317, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.88, 'eval_steps_per_second': 3.916, 'epoch': 3.93} -{'loss': 0.4402, 'grad_norm': 1.8511568307876587, 'learning_rate': 3.0386690647482015e-05, 'epoch': 3.93} -{'loss': 0.4399, 'grad_norm': 2.2312722206115723, 'learning_rate': 3.0377697841726622e-05, 'epoch': 3.94} -{'loss': 0.4616, 'grad_norm': 3.890401840209961, 'learning_rate': 3.0368705035971222e-05, 'epoch': 3.94} -{'loss': 0.4444, 'grad_norm': 2.3333091735839844, 'learning_rate': 3.035971223021583e-05, 'epoch': 3.94} -{'loss': 0.4383, 'grad_norm': 2.6222355365753174, 'learning_rate': 3.0350719424460434e-05, 'epoch': 3.94} -{'loss': 0.4288, 'grad_norm': 1.8923062086105347, 'learning_rate': 3.0341726618705034e-05, 'epoch': 3.94} -{'loss': 0.4364, 'grad_norm': 2.338000774383545, 'learning_rate': 3.0332733812949645e-05, 'epoch': 3.94} -{'loss': 0.4357, 'grad_norm': 3.0762686729431152, 'learning_rate': 3.0323741007194245e-05, 'epoch': 3.95} -{'loss': 0.4287, 'grad_norm': 2.6477088928222656, 'learning_rate': 3.0314748201438852e-05, 'epoch': 3.95} -{'loss': 0.4385, 'grad_norm': 2.136323928833008, 'learning_rate': 3.0305755395683456e-05, 'epoch': 3.95} - 40%|██████████████████████████████████████████████████▍ | 2210/5570 [35:08<45:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4354512393474579, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.714, 'eval_steps_per_second': 3.939, 'epoch': 3.95} -{'loss': 0.4292, 'grad_norm': 2.7170915603637695, 'learning_rate': 3.0296762589928057e-05, 'epoch': 3.95} -{'loss': 0.4394, 'grad_norm': 1.5515347719192505, 'learning_rate': 3.0287769784172664e-05, 'epoch': 3.95} -{'loss': 0.4344, 'grad_norm': 2.958127021789551, 'learning_rate': 3.0278776978417268e-05, 'epoch': 3.96} -{'loss': 0.4471, 'grad_norm': 2.1654863357543945, 'learning_rate': 3.0269784172661875e-05, 'epoch': 3.96} -{'loss': 0.429, 'grad_norm': 0.9525730609893799, 'learning_rate': 3.0260791366906475e-05, 'epoch': 3.96} -{'loss': 0.4381, 'grad_norm': 1.9362448453903198, 'learning_rate': 3.025179856115108e-05, 'epoch': 3.96} -{'loss': 0.4293, 'grad_norm': 1.5540164709091187, 'learning_rate': 3.0242805755395687e-05, 'epoch': 3.96} -{'loss': 0.4347, 'grad_norm': 2.3858606815338135, 'learning_rate': 3.023381294964029e-05, 'epoch': 3.96} -{'loss': 0.4381, 'grad_norm': 3.807468891143799, 'learning_rate': 3.022482014388489e-05, 'epoch': 3.97} -{'loss': 0.4398, 'grad_norm': 1.3726215362548828, 'learning_rate': 3.0215827338129498e-05, 'epoch': 3.97} - 40%|██████████████████████████████████████████████████▌ | 2220/5570 [35:17<45:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43527916073799133, 'eval_runtime': 1.522, 'eval_samples_per_second': 473.054, 'eval_steps_per_second': 3.942, 'epoch': 3.97} -{'loss': 0.4458, 'grad_norm': 4.012524604797363, 'learning_rate': 3.0206834532374102e-05, 'epoch': 3.97} -{'loss': 0.4341, 'grad_norm': 3.017054796218872, 'learning_rate': 3.019784172661871e-05, 'epoch': 3.97} -{'loss': 0.4365, 'grad_norm': 1.3466880321502686, 'learning_rate': 3.018884892086331e-05, 'epoch': 3.97} -{'loss': 0.441, 'grad_norm': 4.09067964553833, 'learning_rate': 3.0179856115107914e-05, 'epoch': 3.97} -{'loss': 0.4471, 'grad_norm': 4.327418804168701, 'learning_rate': 3.017086330935252e-05, 'epoch': 3.98} -{'loss': 0.4404, 'grad_norm': 3.477548599243164, 'learning_rate': 3.016187050359712e-05, 'epoch': 3.98} -{'loss': 0.4337, 'grad_norm': 1.607241153717041, 'learning_rate': 3.0152877697841732e-05, 'epoch': 3.98} -{'loss': 0.4331, 'grad_norm': 3.4276015758514404, 'learning_rate': 3.0143884892086332e-05, 'epoch': 3.98} -{'loss': 0.4383, 'grad_norm': 1.9852137565612793, 'learning_rate': 3.0134892086330936e-05, 'epoch': 3.98} -{'loss': 0.4295, 'grad_norm': 1.7613811492919922, 'learning_rate': 3.0125899280575543e-05, 'epoch': 3.99} - 40%|██████████████████████████████████████████████████▊ | 2230/5570 [35:26<40:34, 1.37it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.437039852142334, 'eval_runtime': 1.5162, 'eval_samples_per_second': 474.886, 'eval_steps_per_second': 3.957, 'epoch': 3.99} -{'loss': 0.4357, 'grad_norm': 4.001946449279785, 'learning_rate': 3.0116906474820144e-05, 'epoch': 3.99} -{'loss': 0.4358, 'grad_norm': 2.9527525901794434, 'learning_rate': 3.010791366906475e-05, 'epoch': 3.99} -{'loss': 0.4338, 'grad_norm': 2.9577741622924805, 'learning_rate': 3.0098920863309355e-05, 'epoch': 3.99} -{'loss': 0.4393, 'grad_norm': 2.8894097805023193, 'learning_rate': 3.0089928057553955e-05, 'epoch': 3.99} -{'loss': 0.4294, 'grad_norm': 1.8194034099578857, 'learning_rate': 3.0080935251798563e-05, 'epoch': 3.99} -{'loss': 0.4359, 'grad_norm': 2.9056010246276855, 'learning_rate': 3.0071942446043167e-05, 'epoch': 4.0} -{'loss': 0.4453, 'grad_norm': 3.7279603481292725, 'learning_rate': 3.0062949640287767e-05, 'epoch': 4.0} -{'loss': 0.4344, 'grad_norm': 1.8719298839569092, 'learning_rate': 3.0053956834532378e-05, 'epoch': 4.0} -{'loss': 0.4368, 'grad_norm': 2.234375476837158, 'learning_rate': 3.0044964028776978e-05, 'epoch': 4.0} -{'loss': 0.4305, 'grad_norm': 3.3354721069335938, 'learning_rate': 3.0035971223021585e-05, 'epoch': 4.0} - 40%|███████████████████████████████████████████████████ | 2240/5570 [35:36<44:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4351389706134796, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.358, 'eval_steps_per_second': 3.92, 'epoch': 4.0} -{'loss': 0.4316, 'grad_norm': 2.1072983741760254, 'learning_rate': 3.002697841726619e-05, 'epoch': 4.01} -{'loss': 0.4417, 'grad_norm': 1.7771145105361938, 'learning_rate': 3.001798561151079e-05, 'epoch': 4.01} -{'loss': 0.4361, 'grad_norm': 3.1253244876861572, 'learning_rate': 3.0008992805755397e-05, 'epoch': 4.01} -{'loss': 0.4316, 'grad_norm': 2.054205894470215, 'learning_rate': 3e-05, 'epoch': 4.01} -{'loss': 0.4347, 'grad_norm': 1.8113505840301514, 'learning_rate': 2.9991007194244608e-05, 'epoch': 4.01} -{'loss': 0.4369, 'grad_norm': 3.6238811016082764, 'learning_rate': 2.9982014388489212e-05, 'epoch': 4.01} -{'loss': 0.4424, 'grad_norm': 3.0366175174713135, 'learning_rate': 2.9973021582733812e-05, 'epoch': 4.02} -{'loss': 0.4343, 'grad_norm': 1.546135425567627, 'learning_rate': 2.996402877697842e-05, 'epoch': 4.02} -{'loss': 0.4343, 'grad_norm': 3.605907917022705, 'learning_rate': 2.9955035971223023e-05, 'epoch': 4.02} -{'loss': 0.4319, 'grad_norm': 2.587308645248413, 'learning_rate': 2.994604316546763e-05, 'epoch': 4.02} - 40%|███████████████████████████████████████████████████▎ | 2250/5570 [35:45<44:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.439131498336792, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.783, 'eval_steps_per_second': 3.915, 'epoch': 4.02} -{'loss': 0.4375, 'grad_norm': 2.8517935276031494, 'learning_rate': 2.993705035971223e-05, 'epoch': 4.02} -{'loss': 0.4341, 'grad_norm': 2.68203067779541, 'learning_rate': 2.9928057553956835e-05, 'epoch': 4.03} -{'loss': 0.449, 'grad_norm': 4.384008884429932, 'learning_rate': 2.9919064748201442e-05, 'epoch': 4.03} -{'loss': 0.4327, 'grad_norm': 2.2969698905944824, 'learning_rate': 2.9910071942446043e-05, 'epoch': 4.03} -{'loss': 0.4434, 'grad_norm': 3.6189210414886475, 'learning_rate': 2.9901079136690647e-05, 'epoch': 4.03} -{'loss': 0.4381, 'grad_norm': 4.155965328216553, 'learning_rate': 2.9892086330935254e-05, 'epoch': 4.03} -{'loss': 0.4396, 'grad_norm': 2.1613173484802246, 'learning_rate': 2.9883093525179858e-05, 'epoch': 4.03} -{'loss': 0.4297, 'grad_norm': 2.5046801567077637, 'learning_rate': 2.9874100719424465e-05, 'epoch': 4.04} -{'loss': 0.4302, 'grad_norm': 2.8586783409118652, 'learning_rate': 2.9865107913669065e-05, 'epoch': 4.04} -{'loss': 0.4339, 'grad_norm': 2.0448005199432373, 'learning_rate': 2.985611510791367e-05, 'epoch': 4.04} - 41%|███████████████████████████████████████████████████▌ | 2260/5570 [35:55<44:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4363751709461212, 'eval_runtime': 1.5179, 'eval_samples_per_second': 474.34, 'eval_steps_per_second': 3.953, 'epoch': 4.04} -{'loss': 0.4408, 'grad_norm': 3.136223793029785, 'learning_rate': 2.9847122302158276e-05, 'epoch': 4.04} -{'loss': 0.4305, 'grad_norm': 1.629856824874878, 'learning_rate': 2.9838129496402877e-05, 'epoch': 4.04} -{'loss': 0.4238, 'grad_norm': 1.8465412855148315, 'learning_rate': 2.9829136690647484e-05, 'epoch': 4.04} -{'loss': 0.4345, 'grad_norm': 1.3918766975402832, 'learning_rate': 2.9820143884892088e-05, 'epoch': 4.05} -{'loss': 0.4348, 'grad_norm': 1.3427497148513794, 'learning_rate': 2.981115107913669e-05, 'epoch': 4.05} -{'loss': 0.4318, 'grad_norm': 1.4346110820770264, 'learning_rate': 2.98021582733813e-05, 'epoch': 4.05} -{'loss': 0.4316, 'grad_norm': 2.448859930038452, 'learning_rate': 2.97931654676259e-05, 'epoch': 4.05} -{'loss': 0.4371, 'grad_norm': 2.7974720001220703, 'learning_rate': 2.9784172661870507e-05, 'epoch': 4.05} -{'loss': 0.434, 'grad_norm': 2.105409860610962, 'learning_rate': 2.977517985611511e-05, 'epoch': 4.06} -{'loss': 0.4341, 'grad_norm': 1.6894805431365967, 'learning_rate': 2.976618705035971e-05, 'epoch': 4.06} - 41%|███████████████████████████████████████████████████▊ | 2270/5570 [36:05<44:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4346316456794739, 'eval_runtime': 1.5131, 'eval_samples_per_second': 475.832, 'eval_steps_per_second': 3.965, 'epoch': 4.06} -{'loss': 0.438, 'grad_norm': 1.8073030710220337, 'learning_rate': 2.975719424460432e-05, 'epoch': 4.06} -{'loss': 0.4318, 'grad_norm': 1.9177007675170898, 'learning_rate': 2.9748201438848922e-05, 'epoch': 4.06} -{'loss': 0.4274, 'grad_norm': 2.1250109672546387, 'learning_rate': 2.973920863309353e-05, 'epoch': 4.06} -{'loss': 0.4302, 'grad_norm': 1.884291172027588, 'learning_rate': 2.973021582733813e-05, 'epoch': 4.06} -{'loss': 0.4301, 'grad_norm': 3.134995222091675, 'learning_rate': 2.9721223021582734e-05, 'epoch': 4.07} -{'loss': 0.4407, 'grad_norm': 3.1424710750579834, 'learning_rate': 2.971223021582734e-05, 'epoch': 4.07} -{'loss': 0.4389, 'grad_norm': 1.9529149532318115, 'learning_rate': 2.9703237410071945e-05, 'epoch': 4.07} -{'loss': 0.4486, 'grad_norm': 1.928499698638916, 'learning_rate': 2.9694244604316545e-05, 'epoch': 4.07} -{'loss': 0.4356, 'grad_norm': 2.8309173583984375, 'learning_rate': 2.9685251798561153e-05, 'epoch': 4.07} -{'loss': 0.4402, 'grad_norm': 3.6858322620391846, 'learning_rate': 2.9676258992805756e-05, 'epoch': 4.08} - 41%|███████████████████████████████████████████████████▉ | 2280/5570 [36:14<44:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43761032819747925, 'eval_runtime': 1.5298, 'eval_samples_per_second': 470.657, 'eval_steps_per_second': 3.922, 'epoch': 4.08} -{'loss': 0.4389, 'grad_norm': 2.895954132080078, 'learning_rate': 2.9667266187050364e-05, 'epoch': 4.08} -{'loss': 0.4376, 'grad_norm': 2.492217779159546, 'learning_rate': 2.9658273381294964e-05, 'epoch': 4.08} -{'loss': 0.4414, 'grad_norm': 2.974851608276367, 'learning_rate': 2.9649280575539568e-05, 'epoch': 4.08} -{'loss': 0.4361, 'grad_norm': 3.7195162773132324, 'learning_rate': 2.9640287769784175e-05, 'epoch': 4.08} -{'loss': 0.4494, 'grad_norm': 4.151960849761963, 'learning_rate': 2.9631294964028776e-05, 'epoch': 4.08} -{'loss': 0.4478, 'grad_norm': 1.5825368165969849, 'learning_rate': 2.9622302158273386e-05, 'epoch': 4.09} -{'loss': 0.435, 'grad_norm': 2.101011276245117, 'learning_rate': 2.9613309352517987e-05, 'epoch': 4.09} -{'loss': 0.4356, 'grad_norm': 2.316777467727661, 'learning_rate': 2.960431654676259e-05, 'epoch': 4.09} -{'loss': 0.4315, 'grad_norm': 1.3042323589324951, 'learning_rate': 2.9595323741007198e-05, 'epoch': 4.09} -{'loss': 0.4299, 'grad_norm': 1.9445406198501587, 'learning_rate': 2.95863309352518e-05, 'epoch': 4.09} - 41%|████████████████████████████████████████████████████▏ | 2290/5570 [36:24<44:14, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43132483959198, 'eval_runtime': 1.5471, 'eval_samples_per_second': 465.389, 'eval_steps_per_second': 3.878, 'epoch': 4.09} -{'loss': 0.4308, 'grad_norm': 1.3899648189544678, 'learning_rate': 2.9577338129496406e-05, 'epoch': 4.1} -{'loss': 0.4329, 'grad_norm': 1.5680009126663208, 'learning_rate': 2.956834532374101e-05, 'epoch': 4.1} -{'loss': 0.4369, 'grad_norm': 1.6510156393051147, 'learning_rate': 2.955935251798561e-05, 'epoch': 4.1} -{'loss': 0.4291, 'grad_norm': 1.5444233417510986, 'learning_rate': 2.955035971223022e-05, 'epoch': 4.1} -{'loss': 0.4321, 'grad_norm': 1.5531660318374634, 'learning_rate': 2.954136690647482e-05, 'epoch': 4.1} -{'loss': 0.4284, 'grad_norm': 1.6361206769943237, 'learning_rate': 2.9532374100719425e-05, 'epoch': 4.1} -{'loss': 0.4364, 'grad_norm': 3.0757923126220703, 'learning_rate': 2.9523381294964032e-05, 'epoch': 4.11} -{'loss': 0.4422, 'grad_norm': 1.6783994436264038, 'learning_rate': 2.9514388489208633e-05, 'epoch': 4.11} -{'loss': 0.4437, 'grad_norm': 2.643893003463745, 'learning_rate': 2.950539568345324e-05, 'epoch': 4.11} -{'loss': 0.4258, 'grad_norm': 1.0674008131027222, 'learning_rate': 2.9496402877697844e-05, 'epoch': 4.11} - 41%|████████████████████████████████████████████████████▍ | 2300/5570 [36:33<44:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.434943825006485, 'eval_runtime': 1.5448, 'eval_samples_per_second': 466.083, 'eval_steps_per_second': 3.884, 'epoch': 4.11} -{'loss': 0.4336, 'grad_norm': 2.0576834678649902, 'learning_rate': 2.9487410071942444e-05, 'epoch': 4.11} -{'loss': 0.4262, 'grad_norm': 3.3047661781311035, 'learning_rate': 2.947841726618705e-05, 'epoch': 4.11} -{'loss': 0.4339, 'grad_norm': 2.4185290336608887, 'learning_rate': 2.9469424460431655e-05, 'epoch': 4.12} -{'loss': 0.4358, 'grad_norm': 1.3234068155288696, 'learning_rate': 2.9460431654676263e-05, 'epoch': 4.12} -{'loss': 0.446, 'grad_norm': 3.537956714630127, 'learning_rate': 2.9451438848920866e-05, 'epoch': 4.12} -{'loss': 0.4447, 'grad_norm': 3.7352635860443115, 'learning_rate': 2.9442446043165467e-05, 'epoch': 4.12} -{'loss': 0.4428, 'grad_norm': 2.9104771614074707, 'learning_rate': 2.9433453237410074e-05, 'epoch': 4.12} -{'loss': 0.424, 'grad_norm': 2.172811269760132, 'learning_rate': 2.9424460431654678e-05, 'epoch': 4.13} -{'loss': 0.4387, 'grad_norm': 2.3757448196411133, 'learning_rate': 2.9415467625899285e-05, 'epoch': 4.13} -{'loss': 0.44, 'grad_norm': 3.1709353923797607, 'learning_rate': 2.9406474820143886e-05, 'epoch': 4.13} - 41%|████████████████████████████████████████████████████▋ | 2310/5570 [36:43<44:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4373844265937805, 'eval_runtime': 1.532, 'eval_samples_per_second': 469.96, 'eval_steps_per_second': 3.916, 'epoch': 4.13} -{'loss': 0.431, 'grad_norm': 2.319749116897583, 'learning_rate': 2.939748201438849e-05, 'epoch': 4.13} -{'loss': 0.4336, 'grad_norm': 1.894110918045044, 'learning_rate': 2.9388489208633097e-05, 'epoch': 4.13} -{'loss': 0.4394, 'grad_norm': 3.355409860610962, 'learning_rate': 2.9379496402877697e-05, 'epoch': 4.13} -{'loss': 0.4324, 'grad_norm': 2.2193026542663574, 'learning_rate': 2.93705035971223e-05, 'epoch': 4.14} -{'loss': 0.4317, 'grad_norm': 1.6961262226104736, 'learning_rate': 2.9361510791366908e-05, 'epoch': 4.14} -{'loss': 0.4338, 'grad_norm': 2.1341331005096436, 'learning_rate': 2.9352517985611512e-05, 'epoch': 4.14} -{'loss': 0.4405, 'grad_norm': 1.9842219352722168, 'learning_rate': 2.934352517985612e-05, 'epoch': 4.14} -{'loss': 0.43, 'grad_norm': 2.1869852542877197, 'learning_rate': 2.933453237410072e-05, 'epoch': 4.14} -{'loss': 0.4334, 'grad_norm': 3.4154703617095947, 'learning_rate': 2.9325539568345324e-05, 'epoch': 4.15} -{'loss': 0.4407, 'grad_norm': 4.016571998596191, 'learning_rate': 2.931654676258993e-05, 'epoch': 4.15} - 42%|████████████████████████████████████████████████████▉ | 2320/5570 [36:52<44:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4342312216758728, 'eval_runtime': 1.5214, 'eval_samples_per_second': 473.238, 'eval_steps_per_second': 3.944, 'epoch': 4.15} -{'loss': 0.4419, 'grad_norm': 1.4796669483184814, 'learning_rate': 2.930755395683453e-05, 'epoch': 4.15} -{'loss': 0.4405, 'grad_norm': 3.3460898399353027, 'learning_rate': 2.929856115107914e-05, 'epoch': 4.15} -{'loss': 0.4365, 'grad_norm': 3.9160401821136475, 'learning_rate': 2.9289568345323743e-05, 'epoch': 4.15} -{'loss': 0.4417, 'grad_norm': 3.246689558029175, 'learning_rate': 2.9280575539568343e-05, 'epoch': 4.15} -{'loss': 0.4336, 'grad_norm': 3.6140382289886475, 'learning_rate': 2.9271582733812954e-05, 'epoch': 4.16} -{'loss': 0.4421, 'grad_norm': 2.7492361068725586, 'learning_rate': 2.9262589928057554e-05, 'epoch': 4.16} -{'loss': 0.4444, 'grad_norm': 1.865305781364441, 'learning_rate': 2.925359712230216e-05, 'epoch': 4.16} -{'loss': 0.4411, 'grad_norm': 2.723801374435425, 'learning_rate': 2.9244604316546765e-05, 'epoch': 4.16} -{'loss': 0.435, 'grad_norm': 2.061969757080078, 'learning_rate': 2.9235611510791366e-05, 'epoch': 4.16} -{'loss': 0.4271, 'grad_norm': 1.4185446500778198, 'learning_rate': 2.9226618705035973e-05, 'epoch': 4.17} - 42%|█████████████████████████████████████████████████████▏ | 2330/5570 [37:02<43:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4360414147377014, 'eval_runtime': 1.5185, 'eval_samples_per_second': 474.149, 'eval_steps_per_second': 3.951, 'epoch': 4.17} -{'loss': 0.4229, 'grad_norm': 2.87803053855896, 'learning_rate': 2.9217625899280577e-05, 'epoch': 4.17} -{'loss': 0.433, 'grad_norm': 1.8954567909240723, 'learning_rate': 2.9208633093525184e-05, 'epoch': 4.17} -{'loss': 0.4401, 'grad_norm': 2.7876152992248535, 'learning_rate': 2.9199640287769784e-05, 'epoch': 4.17} -{'loss': 0.4334, 'grad_norm': 2.3795924186706543, 'learning_rate': 2.9190647482014388e-05, 'epoch': 4.17} -{'loss': 0.4383, 'grad_norm': 2.289639711380005, 'learning_rate': 2.9181654676258996e-05, 'epoch': 4.17} -{'loss': 0.4327, 'grad_norm': 2.8729803562164307, 'learning_rate': 2.91726618705036e-05, 'epoch': 4.18} -{'loss': 0.4384, 'grad_norm': 1.8826310634613037, 'learning_rate': 2.91636690647482e-05, 'epoch': 4.18} -{'loss': 0.4293, 'grad_norm': 2.1593692302703857, 'learning_rate': 2.9154676258992807e-05, 'epoch': 4.18} -{'loss': 0.426, 'grad_norm': 1.4094953536987305, 'learning_rate': 2.914568345323741e-05, 'epoch': 4.18} -{'loss': 0.4312, 'grad_norm': 1.9875797033309937, 'learning_rate': 2.9136690647482018e-05, 'epoch': 4.18} - 42%|█████████████████████████████████████████████████████▎ | 2340/5570 [37:11<44:04, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4343380033969879, 'eval_runtime': 1.5275, 'eval_samples_per_second': 471.362, 'eval_steps_per_second': 3.928, 'epoch': 4.18} -{'loss': 0.4341, 'grad_norm': 1.5823603868484497, 'learning_rate': 2.912769784172662e-05, 'epoch': 4.18} -{'loss': 0.4372, 'grad_norm': 1.3460578918457031, 'learning_rate': 2.9118705035971223e-05, 'epoch': 4.19} -{'loss': 0.4386, 'grad_norm': 1.876315712928772, 'learning_rate': 2.910971223021583e-05, 'epoch': 4.19} -{'loss': 0.4287, 'grad_norm': 1.0086300373077393, 'learning_rate': 2.9100719424460434e-05, 'epoch': 4.19} -{'loss': 0.4379, 'grad_norm': 3.2279629707336426, 'learning_rate': 2.909172661870504e-05, 'epoch': 4.19} -{'loss': 0.435, 'grad_norm': 0.9894222617149353, 'learning_rate': 2.908273381294964e-05, 'epoch': 4.19} -{'loss': 0.432, 'grad_norm': 1.9609874486923218, 'learning_rate': 2.9073741007194245e-05, 'epoch': 4.2} -{'loss': 0.4356, 'grad_norm': 1.716882586479187, 'learning_rate': 2.9064748201438852e-05, 'epoch': 4.2} -{'loss': 0.4428, 'grad_norm': 2.6395463943481445, 'learning_rate': 2.9055755395683453e-05, 'epoch': 4.2} -{'loss': 0.4417, 'grad_norm': 2.4083468914031982, 'learning_rate': 2.904676258992806e-05, 'epoch': 4.2} - 42%|█████████████████████████████████████████████████████▌ | 2350/5570 [37:21<44:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43321728706359863, 'eval_runtime': 1.5138, 'eval_samples_per_second': 475.614, 'eval_steps_per_second': 3.963, 'epoch': 4.2} -{'loss': 0.437, 'grad_norm': 2.3483502864837646, 'learning_rate': 2.9037769784172664e-05, 'epoch': 4.2} -{'loss': 0.4283, 'grad_norm': 1.811211109161377, 'learning_rate': 2.9028776978417264e-05, 'epoch': 4.2} -{'loss': 0.4293, 'grad_norm': 2.4746761322021484, 'learning_rate': 2.9019784172661875e-05, 'epoch': 4.21} -{'loss': 0.4403, 'grad_norm': 2.9328179359436035, 'learning_rate': 2.9010791366906476e-05, 'epoch': 4.21} -{'loss': 0.4284, 'grad_norm': 1.9075740575790405, 'learning_rate': 2.900179856115108e-05, 'epoch': 4.21} -{'loss': 0.4322, 'grad_norm': 1.5889759063720703, 'learning_rate': 2.8992805755395687e-05, 'epoch': 4.21} -{'loss': 0.4288, 'grad_norm': 2.206447124481201, 'learning_rate': 2.8983812949640287e-05, 'epoch': 4.21} -{'loss': 0.4467, 'grad_norm': 2.741969347000122, 'learning_rate': 2.8974820143884894e-05, 'epoch': 4.22} -{'loss': 0.4287, 'grad_norm': 2.2075908184051514, 'learning_rate': 2.8965827338129498e-05, 'epoch': 4.22} -{'loss': 0.425, 'grad_norm': 1.838747501373291, 'learning_rate': 2.89568345323741e-05, 'epoch': 4.22} - 42%|█████████████████████████████████████████████████████▊ | 2360/5570 [37:30<43:20, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43723559379577637, 'eval_runtime': 1.5048, 'eval_samples_per_second': 478.454, 'eval_steps_per_second': 3.987, 'epoch': 4.22} -{'loss': 0.4386, 'grad_norm': 3.010751247406006, 'learning_rate': 2.8947841726618706e-05, 'epoch': 4.22} -{'loss': 0.4317, 'grad_norm': 3.0026369094848633, 'learning_rate': 2.893884892086331e-05, 'epoch': 4.22} -{'loss': 0.4479, 'grad_norm': 1.8759737014770508, 'learning_rate': 2.8929856115107917e-05, 'epoch': 4.22} -{'loss': 0.4435, 'grad_norm': 2.3362550735473633, 'learning_rate': 2.892086330935252e-05, 'epoch': 4.23} -{'loss': 0.4432, 'grad_norm': 2.9912896156311035, 'learning_rate': 2.891187050359712e-05, 'epoch': 4.23} -{'loss': 0.4278, 'grad_norm': 2.4199025630950928, 'learning_rate': 2.890287769784173e-05, 'epoch': 4.23} -{'loss': 0.441, 'grad_norm': 3.282094955444336, 'learning_rate': 2.8893884892086332e-05, 'epoch': 4.23} -{'loss': 0.4325, 'grad_norm': 3.116046190261841, 'learning_rate': 2.888489208633094e-05, 'epoch': 4.23} -{'loss': 0.4271, 'grad_norm': 1.6603467464447021, 'learning_rate': 2.887589928057554e-05, 'epoch': 4.24} -{'loss': 0.4328, 'grad_norm': 3.287372350692749, 'learning_rate': 2.8866906474820144e-05, 'epoch': 4.24} - 43%|██████████████████████████████████████████████████████ | 2370/5570 [37:40<43:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43876248598098755, 'eval_runtime': 1.5304, 'eval_samples_per_second': 470.476, 'eval_steps_per_second': 3.921, 'epoch': 4.24} -{'loss': 0.4451, 'grad_norm': 2.7563304901123047, 'learning_rate': 2.885791366906475e-05, 'epoch': 4.24} -{'loss': 0.4358, 'grad_norm': 2.56718373298645, 'learning_rate': 2.8848920863309352e-05, 'epoch': 4.24} -{'loss': 0.4312, 'grad_norm': 2.448007822036743, 'learning_rate': 2.8839928057553962e-05, 'epoch': 4.24} -{'loss': 0.4317, 'grad_norm': 1.9310190677642822, 'learning_rate': 2.8830935251798563e-05, 'epoch': 4.24} -{'loss': 0.4295, 'grad_norm': 1.7720720767974854, 'learning_rate': 2.8821942446043167e-05, 'epoch': 4.25} -{'loss': 0.4366, 'grad_norm': 1.6436545848846436, 'learning_rate': 2.8812949640287774e-05, 'epoch': 4.25} -{'loss': 0.4405, 'grad_norm': 2.4030203819274902, 'learning_rate': 2.8803956834532374e-05, 'epoch': 4.25} -{'loss': 0.4318, 'grad_norm': 1.7110117673873901, 'learning_rate': 2.8794964028776978e-05, 'epoch': 4.25} -{'loss': 0.4352, 'grad_norm': 1.5276684761047363, 'learning_rate': 2.8785971223021585e-05, 'epoch': 4.25} -{'loss': 0.4325, 'grad_norm': 0.8967355489730835, 'learning_rate': 2.8776978417266186e-05, 'epoch': 4.25} - 43%|██████████████████████████████████████████████████████▎ | 2380/5570 [37:49<43:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43391016125679016, 'eval_runtime': 1.5239, 'eval_samples_per_second': 472.465, 'eval_steps_per_second': 3.937, 'epoch': 4.25} -{'loss': 0.433, 'grad_norm': 2.7479865550994873, 'learning_rate': 2.8767985611510793e-05, 'epoch': 4.26} -{'loss': 0.4309, 'grad_norm': 1.8541548252105713, 'learning_rate': 2.8758992805755397e-05, 'epoch': 4.26} -{'loss': 0.4281, 'grad_norm': 1.2537260055541992, 'learning_rate': 2.8749999999999997e-05, 'epoch': 4.26} -{'loss': 0.4379, 'grad_norm': 1.6137973070144653, 'learning_rate': 2.8741007194244608e-05, 'epoch': 4.26} -{'loss': 0.4373, 'grad_norm': 3.319817543029785, 'learning_rate': 2.873201438848921e-05, 'epoch': 4.26} -{'loss': 0.4293, 'grad_norm': 3.3868749141693115, 'learning_rate': 2.8723021582733816e-05, 'epoch': 4.27} -{'loss': 0.4328, 'grad_norm': 1.7619911432266235, 'learning_rate': 2.871402877697842e-05, 'epoch': 4.27} -{'loss': 0.4338, 'grad_norm': 2.5454866886138916, 'learning_rate': 2.870503597122302e-05, 'epoch': 4.27} -{'loss': 0.4436, 'grad_norm': 2.9117703437805176, 'learning_rate': 2.8696043165467627e-05, 'epoch': 4.27} -{'loss': 0.4394, 'grad_norm': 2.7140629291534424, 'learning_rate': 2.868705035971223e-05, 'epoch': 4.27} - 43%|██████████████████████████████████████████████████████▍ | 2390/5570 [37:59<43:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43095967173576355, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.717, 'eval_steps_per_second': 3.939, 'epoch': 4.27} -{'loss': 0.4319, 'grad_norm': 1.141831398010254, 'learning_rate': 2.867805755395684e-05, 'epoch': 4.27} -{'loss': 0.4319, 'grad_norm': 3.602670431137085, 'learning_rate': 2.8669064748201442e-05, 'epoch': 4.28} -{'loss': 0.4268, 'grad_norm': 4.424554347991943, 'learning_rate': 2.8660071942446043e-05, 'epoch': 4.28} -{'loss': 0.4299, 'grad_norm': 2.906771183013916, 'learning_rate': 2.865107913669065e-05, 'epoch': 4.28} -{'loss': 0.4322, 'grad_norm': 2.705047845840454, 'learning_rate': 2.8642086330935254e-05, 'epoch': 4.28} -{'loss': 0.4386, 'grad_norm': 2.6633942127227783, 'learning_rate': 2.8633093525179854e-05, 'epoch': 4.28} -{'loss': 0.4224, 'grad_norm': 2.0803070068359375, 'learning_rate': 2.862410071942446e-05, 'epoch': 4.29} -{'loss': 0.4281, 'grad_norm': 2.513209342956543, 'learning_rate': 2.8615107913669065e-05, 'epoch': 4.29} -{'loss': 0.4296, 'grad_norm': 2.8070578575134277, 'learning_rate': 2.8606115107913673e-05, 'epoch': 4.29} -{'loss': 0.4236, 'grad_norm': 1.7512470483779907, 'learning_rate': 2.8597122302158273e-05, 'epoch': 4.29} - 43%|██████████████████████████████████████████████████████▋ | 2400/5570 [38:08<43:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43156465888023376, 'eval_runtime': 1.5304, 'eval_samples_per_second': 470.454, 'eval_steps_per_second': 3.92, 'epoch': 4.29} -{'loss': 0.4245, 'grad_norm': 1.3099861145019531, 'learning_rate': 2.8588129496402877e-05, 'epoch': 4.29} -{'loss': 0.4296, 'grad_norm': 2.4089252948760986, 'learning_rate': 2.8579136690647484e-05, 'epoch': 4.29} -{'loss': 0.4298, 'grad_norm': 1.892259955406189, 'learning_rate': 2.8570143884892088e-05, 'epoch': 4.3} -{'loss': 0.4379, 'grad_norm': 3.3152005672454834, 'learning_rate': 2.8561151079136695e-05, 'epoch': 4.3} -{'loss': 0.434, 'grad_norm': 3.353455066680908, 'learning_rate': 2.8552158273381296e-05, 'epoch': 4.3} -{'loss': 0.4372, 'grad_norm': 2.4027187824249268, 'learning_rate': 2.85431654676259e-05, 'epoch': 4.3} -{'loss': 0.4288, 'grad_norm': 1.7357603311538696, 'learning_rate': 2.8534172661870507e-05, 'epoch': 4.3} -{'loss': 0.436, 'grad_norm': 3.4404702186584473, 'learning_rate': 2.8525179856115107e-05, 'epoch': 4.31} -{'loss': 0.4338, 'grad_norm': 4.104000091552734, 'learning_rate': 2.8516187050359715e-05, 'epoch': 4.31} -{'loss': 0.4425, 'grad_norm': 1.5585228204727173, 'learning_rate': 2.850719424460432e-05, 'epoch': 4.31} - 43%|██████████████████████████████████████████████████████▉ | 2410/5570 [38:18<43:02, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4344933331012726, 'eval_runtime': 1.5233, 'eval_samples_per_second': 472.653, 'eval_steps_per_second': 3.939, 'epoch': 4.31} -{'loss': 0.432, 'grad_norm': 2.6170384883880615, 'learning_rate': 2.849820143884892e-05, 'epoch': 4.31} -{'loss': 0.4348, 'grad_norm': 4.62117338180542, 'learning_rate': 2.848920863309353e-05, 'epoch': 4.31} -{'loss': 0.4364, 'grad_norm': 2.790724039077759, 'learning_rate': 2.848021582733813e-05, 'epoch': 4.31} -{'loss': 0.4267, 'grad_norm': 1.8779525756835938, 'learning_rate': 2.8471223021582734e-05, 'epoch': 4.32} -{'loss': 0.4281, 'grad_norm': 2.197103977203369, 'learning_rate': 2.846223021582734e-05, 'epoch': 4.32} -{'loss': 0.4412, 'grad_norm': 3.6524784564971924, 'learning_rate': 2.845323741007194e-05, 'epoch': 4.32} -{'loss': 0.4298, 'grad_norm': 1.9030965566635132, 'learning_rate': 2.844424460431655e-05, 'epoch': 4.32} -{'loss': 0.4378, 'grad_norm': 1.3902034759521484, 'learning_rate': 2.8435251798561153e-05, 'epoch': 4.32} -{'loss': 0.4397, 'grad_norm': 4.446493625640869, 'learning_rate': 2.8426258992805753e-05, 'epoch': 4.32} -{'loss': 0.4391, 'grad_norm': 2.852325201034546, 'learning_rate': 2.841726618705036e-05, 'epoch': 4.33} - 43%|███████████████████████████████████████████████████████▏ | 2420/5570 [38:28<42:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43248239159584045, 'eval_runtime': 1.5304, 'eval_samples_per_second': 470.461, 'eval_steps_per_second': 3.921, 'epoch': 4.33} -{'loss': 0.4253, 'grad_norm': 1.5823854207992554, 'learning_rate': 2.8408273381294964e-05, 'epoch': 4.33} -{'loss': 0.4404, 'grad_norm': 3.7796356678009033, 'learning_rate': 2.839928057553957e-05, 'epoch': 4.33} -{'loss': 0.4327, 'grad_norm': 1.7548644542694092, 'learning_rate': 2.8390287769784175e-05, 'epoch': 4.33} -{'loss': 0.426, 'grad_norm': 2.8043558597564697, 'learning_rate': 2.8381294964028776e-05, 'epoch': 4.33} -{'loss': 0.4343, 'grad_norm': 1.2069361209869385, 'learning_rate': 2.8372302158273383e-05, 'epoch': 4.34} -{'loss': 0.4276, 'grad_norm': 1.5542651414871216, 'learning_rate': 2.8363309352517987e-05, 'epoch': 4.34} -{'loss': 0.4277, 'grad_norm': 1.6316872835159302, 'learning_rate': 2.8354316546762594e-05, 'epoch': 4.34} -{'loss': 0.4244, 'grad_norm': 1.3389554023742676, 'learning_rate': 2.8345323741007195e-05, 'epoch': 4.34} -{'loss': 0.4261, 'grad_norm': 1.4053611755371094, 'learning_rate': 2.83363309352518e-05, 'epoch': 4.34} -{'loss': 0.4354, 'grad_norm': 1.0763274431228638, 'learning_rate': 2.8327338129496406e-05, 'epoch': 4.34} - 44%|███████████████████████████████████████████████████████▍ | 2430/5570 [38:37<42:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4325680732727051, 'eval_runtime': 1.5216, 'eval_samples_per_second': 473.19, 'eval_steps_per_second': 3.943, 'epoch': 4.34} -{'loss': 0.4327, 'grad_norm': 2.1160919666290283, 'learning_rate': 2.831834532374101e-05, 'epoch': 4.35} -{'loss': 0.4285, 'grad_norm': 1.7421531677246094, 'learning_rate': 2.8309352517985617e-05, 'epoch': 4.35} -{'loss': 0.4328, 'grad_norm': 1.782845139503479, 'learning_rate': 2.8300359712230217e-05, 'epoch': 4.35} -{'loss': 0.4272, 'grad_norm': 1.7534055709838867, 'learning_rate': 2.829136690647482e-05, 'epoch': 4.35} -{'loss': 0.4277, 'grad_norm': 3.771838903427124, 'learning_rate': 2.828237410071943e-05, 'epoch': 4.35} -{'loss': 0.4372, 'grad_norm': 1.367884874343872, 'learning_rate': 2.827338129496403e-05, 'epoch': 4.36} -{'loss': 0.4419, 'grad_norm': 3.745661497116089, 'learning_rate': 2.8264388489208633e-05, 'epoch': 4.36} -{'loss': 0.4362, 'grad_norm': 3.594392776489258, 'learning_rate': 2.825539568345324e-05, 'epoch': 4.36} -{'loss': 0.4267, 'grad_norm': 2.178602695465088, 'learning_rate': 2.824640287769784e-05, 'epoch': 4.36} -{'loss': 0.4394, 'grad_norm': 3.5983498096466064, 'learning_rate': 2.823741007194245e-05, 'epoch': 4.36} - 44%|███████████████████████████████████████████████████████▋ | 2440/5570 [38:47<42:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4396681785583496, 'eval_runtime': 1.5238, 'eval_samples_per_second': 472.504, 'eval_steps_per_second': 3.938, 'epoch': 4.36} -{'loss': 0.4483, 'grad_norm': 4.763059616088867, 'learning_rate': 2.822841726618705e-05, 'epoch': 4.36} -{'loss': 0.4295, 'grad_norm': 2.7513930797576904, 'learning_rate': 2.8219424460431655e-05, 'epoch': 4.37} -{'loss': 0.4288, 'grad_norm': 3.106985092163086, 'learning_rate': 2.8210431654676263e-05, 'epoch': 4.37} -{'loss': 0.4364, 'grad_norm': 3.0184996128082275, 'learning_rate': 2.8201438848920863e-05, 'epoch': 4.37} -{'loss': 0.4397, 'grad_norm': 3.2684593200683594, 'learning_rate': 2.819244604316547e-05, 'epoch': 4.37} -{'loss': 0.4348, 'grad_norm': 2.2231996059417725, 'learning_rate': 2.8183453237410074e-05, 'epoch': 4.37} -{'loss': 0.4346, 'grad_norm': 2.2924141883850098, 'learning_rate': 2.8174460431654675e-05, 'epoch': 4.38} -{'loss': 0.434, 'grad_norm': 3.388937473297119, 'learning_rate': 2.8165467625899282e-05, 'epoch': 4.38} -{'loss': 0.4353, 'grad_norm': 2.695779323577881, 'learning_rate': 2.8156474820143886e-05, 'epoch': 4.38} -{'loss': 0.4275, 'grad_norm': 1.9486085176467896, 'learning_rate': 2.8147482014388493e-05, 'epoch': 4.38} - 44%|███████████████████████████████████████████████████████▊ | 2450/5570 [38:56<42:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4318855404853821, 'eval_runtime': 1.5273, 'eval_samples_per_second': 471.434, 'eval_steps_per_second': 3.929, 'epoch': 4.38} -{'loss': 0.4363, 'grad_norm': 2.4588065147399902, 'learning_rate': 2.8138489208633097e-05, 'epoch': 4.38} -{'loss': 0.4344, 'grad_norm': 2.014410972595215, 'learning_rate': 2.8129496402877697e-05, 'epoch': 4.38} -{'loss': 0.4307, 'grad_norm': 1.4042426347732544, 'learning_rate': 2.8120503597122305e-05, 'epoch': 4.39} -{'loss': 0.4203, 'grad_norm': 2.714357614517212, 'learning_rate': 2.811151079136691e-05, 'epoch': 4.39} -{'loss': 0.4249, 'grad_norm': 1.1667383909225464, 'learning_rate': 2.810251798561151e-05, 'epoch': 4.39} -{'loss': 0.4391, 'grad_norm': 4.726059436798096, 'learning_rate': 2.8093525179856116e-05, 'epoch': 4.39} -{'loss': 0.4394, 'grad_norm': 3.514662742614746, 'learning_rate': 2.808453237410072e-05, 'epoch': 4.39} -{'loss': 0.429, 'grad_norm': 1.875505805015564, 'learning_rate': 2.8075539568345327e-05, 'epoch': 4.39} -{'loss': 0.4328, 'grad_norm': 4.0896077156066895, 'learning_rate': 2.8066546762589928e-05, 'epoch': 4.4} -{'loss': 0.4376, 'grad_norm': 1.7130061388015747, 'learning_rate': 2.805755395683453e-05, 'epoch': 4.4} - 44%|████████████████████████████████████████████████████████ | 2460/5570 [39:06<42:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4347296953201294, 'eval_runtime': 1.5217, 'eval_samples_per_second': 473.144, 'eval_steps_per_second': 3.943, 'epoch': 4.4} -{'loss': 0.4347, 'grad_norm': 3.3706679344177246, 'learning_rate': 2.804856115107914e-05, 'epoch': 4.4} -{'loss': 0.4405, 'grad_norm': 4.925046443939209, 'learning_rate': 2.8039568345323743e-05, 'epoch': 4.4} -{'loss': 0.4275, 'grad_norm': 1.285790205001831, 'learning_rate': 2.803057553956835e-05, 'epoch': 4.4} -{'loss': 0.4322, 'grad_norm': 2.8588218688964844, 'learning_rate': 2.802158273381295e-05, 'epoch': 4.41} -{'loss': 0.4403, 'grad_norm': 3.0820634365081787, 'learning_rate': 2.8012589928057554e-05, 'epoch': 4.41} -{'loss': 0.4345, 'grad_norm': 1.7219544649124146, 'learning_rate': 2.800359712230216e-05, 'epoch': 4.41} -{'loss': 0.4373, 'grad_norm': 3.2642500400543213, 'learning_rate': 2.7994604316546762e-05, 'epoch': 4.41} -{'loss': 0.4391, 'grad_norm': 4.5479254722595215, 'learning_rate': 2.798561151079137e-05, 'epoch': 4.41} -{'loss': 0.4325, 'grad_norm': 3.1430952548980713, 'learning_rate': 2.7976618705035973e-05, 'epoch': 4.41} -{'loss': 0.4381, 'grad_norm': 3.5656402111053467, 'learning_rate': 2.7967625899280573e-05, 'epoch': 4.42} - 44%|████████████████████████████████████████████████████████▎ | 2470/5570 [39:15<42:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4365594685077667, 'eval_runtime': 1.522, 'eval_samples_per_second': 473.065, 'eval_steps_per_second': 3.942, 'epoch': 4.42} -{'loss': 0.4385, 'grad_norm': 3.144207000732422, 'learning_rate': 2.7958633093525184e-05, 'epoch': 4.42} -{'loss': 0.4373, 'grad_norm': 3.2571377754211426, 'learning_rate': 2.7949640287769785e-05, 'epoch': 4.42} -{'loss': 0.4336, 'grad_norm': 3.3192412853240967, 'learning_rate': 2.794064748201439e-05, 'epoch': 4.42} -{'loss': 0.4224, 'grad_norm': 3.7315585613250732, 'learning_rate': 2.7931654676258996e-05, 'epoch': 4.42} -{'loss': 0.4309, 'grad_norm': 2.9215595722198486, 'learning_rate': 2.7922661870503596e-05, 'epoch': 4.43} -{'loss': 0.4329, 'grad_norm': 2.261186122894287, 'learning_rate': 2.7913669064748203e-05, 'epoch': 4.43} -{'loss': 0.4297, 'grad_norm': 2.807551383972168, 'learning_rate': 2.7904676258992807e-05, 'epoch': 4.43} -{'loss': 0.433, 'grad_norm': 2.11240816116333, 'learning_rate': 2.7895683453237408e-05, 'epoch': 4.43} -{'loss': 0.4303, 'grad_norm': 3.2629525661468506, 'learning_rate': 2.788669064748202e-05, 'epoch': 4.43} -{'loss': 0.4467, 'grad_norm': 5.94356107711792, 'learning_rate': 2.787769784172662e-05, 'epoch': 4.43} - 45%|████████████████████████████████████████████████████████▌ | 2480/5570 [39:25<41:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4371885061264038, 'eval_runtime': 1.5136, 'eval_samples_per_second': 475.694, 'eval_steps_per_second': 3.964, 'epoch': 4.43} -{'loss': 0.4424, 'grad_norm': 2.583737373352051, 'learning_rate': 2.7868705035971226e-05, 'epoch': 4.44} -{'loss': 0.4351, 'grad_norm': 2.6032767295837402, 'learning_rate': 2.785971223021583e-05, 'epoch': 4.44} -{'loss': 0.4333, 'grad_norm': 2.6113224029541016, 'learning_rate': 2.785071942446043e-05, 'epoch': 4.44} -{'loss': 0.4303, 'grad_norm': 2.529134750366211, 'learning_rate': 2.7841726618705038e-05, 'epoch': 4.44} -{'loss': 0.4267, 'grad_norm': 2.568617343902588, 'learning_rate': 2.783273381294964e-05, 'epoch': 4.44} -{'loss': 0.426, 'grad_norm': 2.5667130947113037, 'learning_rate': 2.782374100719425e-05, 'epoch': 4.45} -{'loss': 0.4355, 'grad_norm': 1.4167735576629639, 'learning_rate': 2.781474820143885e-05, 'epoch': 4.45} -{'loss': 0.4363, 'grad_norm': 2.9981021881103516, 'learning_rate': 2.7805755395683453e-05, 'epoch': 4.45} -{'loss': 0.4341, 'grad_norm': 4.240860462188721, 'learning_rate': 2.779676258992806e-05, 'epoch': 4.45} -{'loss': 0.4237, 'grad_norm': 2.8643198013305664, 'learning_rate': 2.7787769784172664e-05, 'epoch': 4.45} - 45%|████████████████████████████████████████████████████████▊ | 2490/5570 [39:34<41:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4349144697189331, 'eval_runtime': 1.5225, 'eval_samples_per_second': 472.914, 'eval_steps_per_second': 3.941, 'epoch': 4.45} -{'loss': 0.4334, 'grad_norm': 2.838931083679199, 'learning_rate': 2.777877697841727e-05, 'epoch': 4.45} -{'loss': 0.443, 'grad_norm': 4.265992164611816, 'learning_rate': 2.7769784172661872e-05, 'epoch': 4.46} -{'loss': 0.4277, 'grad_norm': 2.367189407348633, 'learning_rate': 2.7760791366906476e-05, 'epoch': 4.46} -{'loss': 0.4294, 'grad_norm': 1.5351543426513672, 'learning_rate': 2.7751798561151083e-05, 'epoch': 4.46} -{'loss': 0.4307, 'grad_norm': 3.893831253051758, 'learning_rate': 2.7742805755395683e-05, 'epoch': 4.46} -{'loss': 0.4526, 'grad_norm': 7.0447845458984375, 'learning_rate': 2.7733812949640287e-05, 'epoch': 4.46} -{'loss': 0.4622, 'grad_norm': 5.497949600219727, 'learning_rate': 2.7724820143884894e-05, 'epoch': 4.46} -{'loss': 0.4326, 'grad_norm': 2.8152804374694824, 'learning_rate': 2.7715827338129495e-05, 'epoch': 4.47} -{'loss': 0.4382, 'grad_norm': 3.031747341156006, 'learning_rate': 2.7706834532374106e-05, 'epoch': 4.47} -{'loss': 0.4442, 'grad_norm': 4.549272060394287, 'learning_rate': 2.7697841726618706e-05, 'epoch': 4.47} - 45%|█████████████████████████████████████████████████████████ | 2500/5570 [39:44<41:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43916502594947815, 'eval_runtime': 1.5577, 'eval_samples_per_second': 462.213, 'eval_steps_per_second': 3.852, 'epoch': 4.47} -{'loss': 0.4335, 'grad_norm': 2.63639760017395, 'learning_rate': 2.768884892086331e-05, 'epoch': 4.47} -{'loss': 0.4417, 'grad_norm': 2.731379747390747, 'learning_rate': 2.7679856115107917e-05, 'epoch': 4.47} -{'loss': 0.4268, 'grad_norm': 1.523826003074646, 'learning_rate': 2.7670863309352518e-05, 'epoch': 4.48} -{'loss': 0.4427, 'grad_norm': 3.275501251220703, 'learning_rate': 2.7661870503597125e-05, 'epoch': 4.48} -{'loss': 0.4408, 'grad_norm': 3.3315956592559814, 'learning_rate': 2.765287769784173e-05, 'epoch': 4.48} -{'loss': 0.4321, 'grad_norm': 3.500269651412964, 'learning_rate': 2.764388489208633e-05, 'epoch': 4.48} -{'loss': 0.4265, 'grad_norm': 2.6803784370422363, 'learning_rate': 2.7634892086330936e-05, 'epoch': 4.48} -{'loss': 0.4317, 'grad_norm': 1.9722180366516113, 'learning_rate': 2.762589928057554e-05, 'epoch': 4.48} -{'loss': 0.4271, 'grad_norm': 2.921640396118164, 'learning_rate': 2.7616906474820147e-05, 'epoch': 4.49} -{'loss': 0.4354, 'grad_norm': 3.1640090942382812, 'learning_rate': 2.760791366906475e-05, 'epoch': 4.49} - 45%|█████████████████████████████████████████████████████████▏ | 2510/5570 [39:53<41:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4325312674045563, 'eval_runtime': 1.5215, 'eval_samples_per_second': 473.212, 'eval_steps_per_second': 3.943, 'epoch': 4.49} -{'loss': 0.4379, 'grad_norm': 1.273470401763916, 'learning_rate': 2.7598920863309352e-05, 'epoch': 4.49} -{'loss': 0.436, 'grad_norm': 3.7607686519622803, 'learning_rate': 2.758992805755396e-05, 'epoch': 4.49} -{'loss': 0.4525, 'grad_norm': 5.482509613037109, 'learning_rate': 2.7580935251798563e-05, 'epoch': 4.49} -{'loss': 0.4477, 'grad_norm': 4.50087833404541, 'learning_rate': 2.7571942446043163e-05, 'epoch': 4.5} -{'loss': 0.4357, 'grad_norm': 2.3022665977478027, 'learning_rate': 2.756294964028777e-05, 'epoch': 4.5} -{'loss': 0.4345, 'grad_norm': 2.1331441402435303, 'learning_rate': 2.7553956834532374e-05, 'epoch': 4.5} -{'loss': 0.4345, 'grad_norm': 3.2697150707244873, 'learning_rate': 2.7544964028776982e-05, 'epoch': 4.5} -{'loss': 0.4438, 'grad_norm': 3.2682695388793945, 'learning_rate': 2.7535971223021582e-05, 'epoch': 4.5} -{'loss': 0.4456, 'grad_norm': 2.8106284141540527, 'learning_rate': 2.7526978417266186e-05, 'epoch': 4.5} -{'loss': 0.4413, 'grad_norm': 3.209482192993164, 'learning_rate': 2.7517985611510793e-05, 'epoch': 4.51} - 45%|█████████████████████████████████████████████████████████▍ | 2520/5570 [40:03<41:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43559837341308594, 'eval_runtime': 1.5217, 'eval_samples_per_second': 473.165, 'eval_steps_per_second': 3.943, 'epoch': 4.51} -{'loss': 0.4417, 'grad_norm': 3.8085005283355713, 'learning_rate': 2.7508992805755397e-05, 'epoch': 4.51} -{'loss': 0.4384, 'grad_norm': 2.951727867126465, 'learning_rate': 2.7500000000000004e-05, 'epoch': 4.51} -{'loss': 0.4377, 'grad_norm': 3.5583131313323975, 'learning_rate': 2.7491007194244605e-05, 'epoch': 4.51} -{'loss': 0.4316, 'grad_norm': 1.9877561330795288, 'learning_rate': 2.748201438848921e-05, 'epoch': 4.51} -{'loss': 0.4299, 'grad_norm': 1.804021954536438, 'learning_rate': 2.7473021582733816e-05, 'epoch': 4.52} -{'loss': 0.4354, 'grad_norm': 2.7487101554870605, 'learning_rate': 2.7464028776978416e-05, 'epoch': 4.52} -{'loss': 0.4399, 'grad_norm': 1.6276006698608398, 'learning_rate': 2.7455035971223027e-05, 'epoch': 4.52} -{'loss': 0.4329, 'grad_norm': 1.557378888130188, 'learning_rate': 2.7446043165467627e-05, 'epoch': 4.52} -{'loss': 0.4384, 'grad_norm': 2.7533388137817383, 'learning_rate': 2.743705035971223e-05, 'epoch': 4.52} -{'loss': 0.4333, 'grad_norm': 1.6892409324645996, 'learning_rate': 2.742805755395684e-05, 'epoch': 4.52} - 45%|█████████████████████████████████████████████████████████▋ | 2530/5570 [40:13<41:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4331474304199219, 'eval_runtime': 1.5268, 'eval_samples_per_second': 471.577, 'eval_steps_per_second': 3.93, 'epoch': 4.52} -{'loss': 0.4403, 'grad_norm': 2.2867796421051025, 'learning_rate': 2.741906474820144e-05, 'epoch': 4.53} -{'loss': 0.4401, 'grad_norm': 2.43977689743042, 'learning_rate': 2.7410071942446043e-05, 'epoch': 4.53} -{'loss': 0.4302, 'grad_norm': 1.4982070922851562, 'learning_rate': 2.740107913669065e-05, 'epoch': 4.53} -{'loss': 0.4308, 'grad_norm': 1.7893474102020264, 'learning_rate': 2.739208633093525e-05, 'epoch': 4.53} -{'loss': 0.4318, 'grad_norm': 2.349083423614502, 'learning_rate': 2.7383093525179858e-05, 'epoch': 4.53} -{'loss': 0.4212, 'grad_norm': 1.6578314304351807, 'learning_rate': 2.7374100719424462e-05, 'epoch': 4.54} -{'loss': 0.4309, 'grad_norm': 1.8215516805648804, 'learning_rate': 2.7365107913669062e-05, 'epoch': 4.54} -{'loss': 0.4322, 'grad_norm': 2.731501817703247, 'learning_rate': 2.7356115107913673e-05, 'epoch': 4.54} -{'loss': 0.4339, 'grad_norm': 2.2527503967285156, 'learning_rate': 2.7347122302158273e-05, 'epoch': 4.54} -{'loss': 0.4304, 'grad_norm': 1.2239311933517456, 'learning_rate': 2.733812949640288e-05, 'epoch': 4.54} - 46%|█████████████████████████████████████████████████████████▉ | 2540/5570 [40:22<41:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4336473345756531, 'eval_runtime': 1.5272, 'eval_samples_per_second': 471.463, 'eval_steps_per_second': 3.929, 'epoch': 4.54} -{'loss': 0.4283, 'grad_norm': 1.617801547050476, 'learning_rate': 2.7329136690647484e-05, 'epoch': 4.54} -{'loss': 0.4437, 'grad_norm': 1.9937952756881714, 'learning_rate': 2.7320143884892085e-05, 'epoch': 4.55} -{'loss': 0.428, 'grad_norm': 1.3150120973587036, 'learning_rate': 2.7311151079136692e-05, 'epoch': 4.55} -{'loss': 0.4277, 'grad_norm': 2.4346678256988525, 'learning_rate': 2.7302158273381296e-05, 'epoch': 4.55} -{'loss': 0.4295, 'grad_norm': 2.3902487754821777, 'learning_rate': 2.7293165467625903e-05, 'epoch': 4.55} -{'loss': 0.4285, 'grad_norm': 2.194176197052002, 'learning_rate': 2.7284172661870504e-05, 'epoch': 4.55} -{'loss': 0.4263, 'grad_norm': 2.9103035926818848, 'learning_rate': 2.7275179856115107e-05, 'epoch': 4.55} -{'loss': 0.433, 'grad_norm': 1.9385546445846558, 'learning_rate': 2.7266187050359715e-05, 'epoch': 4.56} -{'loss': 0.431, 'grad_norm': 1.5449905395507812, 'learning_rate': 2.725719424460432e-05, 'epoch': 4.56} -{'loss': 0.4319, 'grad_norm': 2.663848876953125, 'learning_rate': 2.7248201438848926e-05, 'epoch': 4.56} - 46%|██████████████████████████████████████████████████████████▏ | 2550/5570 [40:32<41:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43307724595069885, 'eval_runtime': 1.5352, 'eval_samples_per_second': 468.979, 'eval_steps_per_second': 3.908, 'epoch': 4.56} -{'loss': 0.4329, 'grad_norm': 2.813430070877075, 'learning_rate': 2.7239208633093526e-05, 'epoch': 4.56} -{'loss': 0.4228, 'grad_norm': 1.6063101291656494, 'learning_rate': 2.723021582733813e-05, 'epoch': 4.56} -{'loss': 0.4261, 'grad_norm': 3.980971097946167, 'learning_rate': 2.7221223021582737e-05, 'epoch': 4.57} -{'loss': 0.4308, 'grad_norm': 2.2108888626098633, 'learning_rate': 2.7212230215827338e-05, 'epoch': 4.57} -{'loss': 0.4302, 'grad_norm': 2.8551025390625, 'learning_rate': 2.7203237410071942e-05, 'epoch': 4.57} -{'loss': 0.4271, 'grad_norm': 5.621228218078613, 'learning_rate': 2.719424460431655e-05, 'epoch': 4.57} -{'loss': 0.4344, 'grad_norm': 1.4728318452835083, 'learning_rate': 2.718525179856115e-05, 'epoch': 4.57} -{'loss': 0.4439, 'grad_norm': 4.284675598144531, 'learning_rate': 2.717625899280576e-05, 'epoch': 4.57} -{'loss': 0.436, 'grad_norm': 3.333664655685425, 'learning_rate': 2.716726618705036e-05, 'epoch': 4.58} -{'loss': 0.4396, 'grad_norm': 3.159013032913208, 'learning_rate': 2.7158273381294964e-05, 'epoch': 4.58} - 46%|██████████████████████████████████████████████████████████▎ | 2560/5570 [40:41<41:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4369451701641083, 'eval_runtime': 1.5212, 'eval_samples_per_second': 473.312, 'eval_steps_per_second': 3.944, 'epoch': 4.58} -{'loss': 0.4446, 'grad_norm': 3.4444212913513184, 'learning_rate': 2.714928057553957e-05, 'epoch': 4.58} -{'loss': 0.4344, 'grad_norm': 2.595449209213257, 'learning_rate': 2.7140287769784172e-05, 'epoch': 4.58} -{'loss': 0.437, 'grad_norm': 4.040456295013428, 'learning_rate': 2.713129496402878e-05, 'epoch': 4.58} -{'loss': 0.4325, 'grad_norm': 1.083569884300232, 'learning_rate': 2.7122302158273383e-05, 'epoch': 4.59} -{'loss': 0.4332, 'grad_norm': 1.717665433883667, 'learning_rate': 2.7113309352517984e-05, 'epoch': 4.59} -{'loss': 0.4314, 'grad_norm': 3.3828091621398926, 'learning_rate': 2.710431654676259e-05, 'epoch': 4.59} -{'loss': 0.4272, 'grad_norm': 1.08454167842865, 'learning_rate': 2.7095323741007195e-05, 'epoch': 4.59} -{'loss': 0.434, 'grad_norm': 3.2318148612976074, 'learning_rate': 2.7086330935251802e-05, 'epoch': 4.59} -{'loss': 0.4298, 'grad_norm': 3.247314453125, 'learning_rate': 2.7077338129496406e-05, 'epoch': 4.59} -{'loss': 0.4302, 'grad_norm': 1.7175178527832031, 'learning_rate': 2.7068345323741006e-05, 'epoch': 4.6} - 46%|██████████████████████████████████████████████████████████▌ | 2570/5570 [40:51<40:23, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43371719121932983, 'eval_runtime': 1.5147, 'eval_samples_per_second': 475.343, 'eval_steps_per_second': 3.961, 'epoch': 4.6} -{'loss': 0.4266, 'grad_norm': 3.4840269088745117, 'learning_rate': 2.7059352517985614e-05, 'epoch': 4.6} -{'loss': 0.433, 'grad_norm': 3.2832586765289307, 'learning_rate': 2.7050359712230217e-05, 'epoch': 4.6} -{'loss': 0.4265, 'grad_norm': 2.096804141998291, 'learning_rate': 2.7041366906474818e-05, 'epoch': 4.6} -{'loss': 0.4334, 'grad_norm': 3.056408405303955, 'learning_rate': 2.7032374100719425e-05, 'epoch': 4.6} -{'loss': 0.4267, 'grad_norm': 2.2271454334259033, 'learning_rate': 2.702338129496403e-05, 'epoch': 4.61} -{'loss': 0.4364, 'grad_norm': 2.2712340354919434, 'learning_rate': 2.7014388489208636e-05, 'epoch': 4.61} -{'loss': 0.431, 'grad_norm': 2.3678841590881348, 'learning_rate': 2.700539568345324e-05, 'epoch': 4.61} -{'loss': 0.4216, 'grad_norm': 1.7971668243408203, 'learning_rate': 2.699640287769784e-05, 'epoch': 4.61} -{'loss': 0.4287, 'grad_norm': 1.9868031740188599, 'learning_rate': 2.6987410071942448e-05, 'epoch': 4.61} -{'loss': 0.4268, 'grad_norm': 1.8863940238952637, 'learning_rate': 2.697841726618705e-05, 'epoch': 4.61} - 46%|██████████████████████████████████████████████████████████▊ | 2580/5570 [41:00<40:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43323981761932373, 'eval_runtime': 1.5262, 'eval_samples_per_second': 471.746, 'eval_steps_per_second': 3.931, 'epoch': 4.61} -{'loss': 0.4268, 'grad_norm': 2.8210954666137695, 'learning_rate': 2.696942446043166e-05, 'epoch': 4.62} -{'loss': 0.4243, 'grad_norm': 1.895872950553894, 'learning_rate': 2.696043165467626e-05, 'epoch': 4.62} -{'loss': 0.4318, 'grad_norm': 1.9150665998458862, 'learning_rate': 2.6951438848920863e-05, 'epoch': 4.62} -{'loss': 0.4386, 'grad_norm': 2.6371936798095703, 'learning_rate': 2.694244604316547e-05, 'epoch': 4.62} -{'loss': 0.4296, 'grad_norm': 1.682413935661316, 'learning_rate': 2.693345323741007e-05, 'epoch': 4.62} -{'loss': 0.4269, 'grad_norm': 2.209686279296875, 'learning_rate': 2.692446043165468e-05, 'epoch': 4.62} -{'loss': 0.4323, 'grad_norm': 2.1266064643859863, 'learning_rate': 2.6915467625899282e-05, 'epoch': 4.63} -{'loss': 0.4249, 'grad_norm': 1.6272979974746704, 'learning_rate': 2.6906474820143886e-05, 'epoch': 4.63} -{'loss': 0.4394, 'grad_norm': 2.5876431465148926, 'learning_rate': 2.6897482014388493e-05, 'epoch': 4.63} -{'loss': 0.4288, 'grad_norm': 1.5692232847213745, 'learning_rate': 2.6888489208633094e-05, 'epoch': 4.63} - 46%|███████████████████████████████████████████████████████████ | 2590/5570 [41:10<40:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43374544382095337, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.028, 'eval_steps_per_second': 3.934, 'epoch': 4.63} -{'loss': 0.4298, 'grad_norm': 2.06600284576416, 'learning_rate': 2.68794964028777e-05, 'epoch': 4.63} -{'loss': 0.4285, 'grad_norm': 2.1336164474487305, 'learning_rate': 2.6870503597122305e-05, 'epoch': 4.64} -{'loss': 0.4304, 'grad_norm': 1.6288037300109863, 'learning_rate': 2.6861510791366905e-05, 'epoch': 4.64} -{'loss': 0.4315, 'grad_norm': 2.159461498260498, 'learning_rate': 2.6852517985611512e-05, 'epoch': 4.64} -{'loss': 0.4232, 'grad_norm': 2.266819477081299, 'learning_rate': 2.6843525179856116e-05, 'epoch': 4.64} -{'loss': 0.4312, 'grad_norm': 1.7101749181747437, 'learning_rate': 2.6834532374100717e-05, 'epoch': 4.64} -{'loss': 0.4333, 'grad_norm': 2.010165214538574, 'learning_rate': 2.6825539568345327e-05, 'epoch': 4.64} -{'loss': 0.4359, 'grad_norm': 2.574883460998535, 'learning_rate': 2.6816546762589928e-05, 'epoch': 4.65} -{'loss': 0.4319, 'grad_norm': 2.11832332611084, 'learning_rate': 2.6807553956834535e-05, 'epoch': 4.65} -{'loss': 0.4327, 'grad_norm': 2.6784863471984863, 'learning_rate': 2.679856115107914e-05, 'epoch': 4.65} - 47%|███████████████████████████████████████████████████████████▎ | 2600/5570 [41:19<40:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4357956051826477, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.291, 'eval_steps_per_second': 3.919, 'epoch': 4.65} -{'loss': 0.4325, 'grad_norm': 3.997622489929199, 'learning_rate': 2.678956834532374e-05, 'epoch': 4.65} -{'loss': 0.4293, 'grad_norm': 2.7227678298950195, 'learning_rate': 2.6780575539568347e-05, 'epoch': 4.65} -{'loss': 0.4411, 'grad_norm': 3.356163740158081, 'learning_rate': 2.677158273381295e-05, 'epoch': 4.66} -{'loss': 0.4353, 'grad_norm': 1.7645782232284546, 'learning_rate': 2.6762589928057558e-05, 'epoch': 4.66} -{'loss': 0.4404, 'grad_norm': 2.896385669708252, 'learning_rate': 2.6753597122302158e-05, 'epoch': 4.66} -{'loss': 0.4332, 'grad_norm': 1.5802583694458008, 'learning_rate': 2.6744604316546762e-05, 'epoch': 4.66} -{'loss': 0.4369, 'grad_norm': 2.2433383464813232, 'learning_rate': 2.673561151079137e-05, 'epoch': 4.66} -{'loss': 0.4292, 'grad_norm': 2.733242988586426, 'learning_rate': 2.6726618705035973e-05, 'epoch': 4.66} -{'loss': 0.4423, 'grad_norm': 2.2048418521881104, 'learning_rate': 2.671762589928058e-05, 'epoch': 4.67} -{'loss': 0.4233, 'grad_norm': 2.8674724102020264, 'learning_rate': 2.670863309352518e-05, 'epoch': 4.67} - 47%|███████████████████████████████████████████████████████████▌ | 2610/5570 [41:29<40:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4331742525100708, 'eval_runtime': 1.5261, 'eval_samples_per_second': 471.786, 'eval_steps_per_second': 3.932, 'epoch': 4.67} -{'loss': 0.4342, 'grad_norm': 2.051503896713257, 'learning_rate': 2.6699640287769785e-05, 'epoch': 4.67} -{'loss': 0.4219, 'grad_norm': 1.6507692337036133, 'learning_rate': 2.6690647482014392e-05, 'epoch': 4.67} -{'loss': 0.4278, 'grad_norm': 1.5482101440429688, 'learning_rate': 2.6681654676258992e-05, 'epoch': 4.67} -{'loss': 0.4308, 'grad_norm': 1.693420171737671, 'learning_rate': 2.6672661870503596e-05, 'epoch': 4.68} -{'loss': 0.4355, 'grad_norm': 2.1890265941619873, 'learning_rate': 2.6663669064748203e-05, 'epoch': 4.68} -{'loss': 0.4319, 'grad_norm': 1.5862314701080322, 'learning_rate': 2.6654676258992807e-05, 'epoch': 4.68} -{'loss': 0.4286, 'grad_norm': 2.525377035140991, 'learning_rate': 2.6645683453237415e-05, 'epoch': 4.68} -{'loss': 0.441, 'grad_norm': 3.7494540214538574, 'learning_rate': 2.6636690647482015e-05, 'epoch': 4.68} -{'loss': 0.4366, 'grad_norm': 2.6808042526245117, 'learning_rate': 2.662769784172662e-05, 'epoch': 4.68} -{'loss': 0.4446, 'grad_norm': 1.6667898893356323, 'learning_rate': 2.6618705035971226e-05, 'epoch': 4.69} - 47%|███████████████████████████████████████████████████████████▋ | 2620/5570 [41:38<40:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43504807353019714, 'eval_runtime': 1.5282, 'eval_samples_per_second': 471.133, 'eval_steps_per_second': 3.926, 'epoch': 4.69} -{'loss': 0.436, 'grad_norm': 2.4076099395751953, 'learning_rate': 2.6609712230215827e-05, 'epoch': 4.69} -{'loss': 0.4355, 'grad_norm': 2.3663833141326904, 'learning_rate': 2.6600719424460434e-05, 'epoch': 4.69} -{'loss': 0.4294, 'grad_norm': 0.8730006217956543, 'learning_rate': 2.6591726618705038e-05, 'epoch': 4.69} -{'loss': 0.4322, 'grad_norm': 3.5646750926971436, 'learning_rate': 2.6582733812949638e-05, 'epoch': 4.69} -{'loss': 0.4168, 'grad_norm': 2.1667299270629883, 'learning_rate': 2.657374100719425e-05, 'epoch': 4.69} -{'loss': 0.4234, 'grad_norm': 2.7503011226654053, 'learning_rate': 2.656474820143885e-05, 'epoch': 4.7} -{'loss': 0.4389, 'grad_norm': 2.1557013988494873, 'learning_rate': 2.6555755395683456e-05, 'epoch': 4.7} -{'loss': 0.4342, 'grad_norm': 2.4553871154785156, 'learning_rate': 2.654676258992806e-05, 'epoch': 4.7} -{'loss': 0.4428, 'grad_norm': 3.1805098056793213, 'learning_rate': 2.653776978417266e-05, 'epoch': 4.7} -{'loss': 0.4425, 'grad_norm': 2.1448404788970947, 'learning_rate': 2.6528776978417268e-05, 'epoch': 4.7} - 47%|███████████████████████████████████████████████████████████▉ | 2630/5570 [41:48<40:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43215036392211914, 'eval_runtime': 1.5149, 'eval_samples_per_second': 475.286, 'eval_steps_per_second': 3.961, 'epoch': 4.7} -{'loss': 0.427, 'grad_norm': 2.161587715148926, 'learning_rate': 2.6519784172661872e-05, 'epoch': 4.71} -{'loss': 0.4287, 'grad_norm': 2.95994234085083, 'learning_rate': 2.6510791366906472e-05, 'epoch': 4.71} -{'loss': 0.4343, 'grad_norm': 1.5287621021270752, 'learning_rate': 2.650179856115108e-05, 'epoch': 4.71} -{'loss': 0.4233, 'grad_norm': 0.9210019111633301, 'learning_rate': 2.6492805755395683e-05, 'epoch': 4.71} -{'loss': 0.4334, 'grad_norm': 1.5628206729888916, 'learning_rate': 2.648381294964029e-05, 'epoch': 4.71} -{'loss': 0.4204, 'grad_norm': 1.200426697731018, 'learning_rate': 2.6474820143884895e-05, 'epoch': 4.71} -{'loss': 0.4312, 'grad_norm': 1.740183711051941, 'learning_rate': 2.6465827338129495e-05, 'epoch': 4.72} -{'loss': 0.4267, 'grad_norm': 1.2918517589569092, 'learning_rate': 2.6456834532374102e-05, 'epoch': 4.72} -{'loss': 0.4378, 'grad_norm': 1.8810644149780273, 'learning_rate': 2.6447841726618706e-05, 'epoch': 4.72} -{'loss': 0.4373, 'grad_norm': 2.5148439407348633, 'learning_rate': 2.6438848920863313e-05, 'epoch': 4.72} - 47%|████████████████████████████████████████████████████████████▏ | 2640/5570 [41:57<40:06, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4349632263183594, 'eval_runtime': 1.542, 'eval_samples_per_second': 466.922, 'eval_steps_per_second': 3.891, 'epoch': 4.72} -{'loss': 0.4421, 'grad_norm': 2.3612289428710938, 'learning_rate': 2.6429856115107914e-05, 'epoch': 4.72} -{'loss': 0.4252, 'grad_norm': 1.2040051221847534, 'learning_rate': 2.6420863309352518e-05, 'epoch': 4.73} -{'loss': 0.4303, 'grad_norm': 2.204719305038452, 'learning_rate': 2.6411870503597125e-05, 'epoch': 4.73} -{'loss': 0.4304, 'grad_norm': 2.8960371017456055, 'learning_rate': 2.6402877697841725e-05, 'epoch': 4.73} -{'loss': 0.4356, 'grad_norm': 1.6556919813156128, 'learning_rate': 2.6393884892086336e-05, 'epoch': 4.73} -{'loss': 0.4359, 'grad_norm': 4.6742262840271, 'learning_rate': 2.6384892086330936e-05, 'epoch': 4.73} -{'loss': 0.43, 'grad_norm': 2.9276251792907715, 'learning_rate': 2.637589928057554e-05, 'epoch': 4.73} -{'loss': 0.4363, 'grad_norm': 2.8780453205108643, 'learning_rate': 2.6366906474820148e-05, 'epoch': 4.74} -{'loss': 0.4351, 'grad_norm': 3.6519744396209717, 'learning_rate': 2.6357913669064748e-05, 'epoch': 4.74} -{'loss': 0.4498, 'grad_norm': 2.202901840209961, 'learning_rate': 2.6348920863309355e-05, 'epoch': 4.74} - 48%|████████████████████████████████████████████████████████████▍ | 2650/5570 [42:07<39:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4391147196292877, 'eval_runtime': 1.5211, 'eval_samples_per_second': 473.343, 'eval_steps_per_second': 3.945, 'epoch': 4.74} -{'loss': 0.4339, 'grad_norm': 3.6454615592956543, 'learning_rate': 2.633992805755396e-05, 'epoch': 4.74} -{'loss': 0.4317, 'grad_norm': 2.404147148132324, 'learning_rate': 2.633093525179856e-05, 'epoch': 4.74} -{'loss': 0.4384, 'grad_norm': 1.7557770013809204, 'learning_rate': 2.6321942446043167e-05, 'epoch': 4.75} -{'loss': 0.4331, 'grad_norm': 1.917004942893982, 'learning_rate': 2.631294964028777e-05, 'epoch': 4.75} -{'loss': 0.4254, 'grad_norm': 1.6107279062271118, 'learning_rate': 2.630395683453237e-05, 'epoch': 4.75} -{'loss': 0.4369, 'grad_norm': 2.162221670150757, 'learning_rate': 2.6294964028776982e-05, 'epoch': 4.75} -{'loss': 0.4366, 'grad_norm': 2.9659948348999023, 'learning_rate': 2.6285971223021582e-05, 'epoch': 4.75} -{'loss': 0.4348, 'grad_norm': 3.3620519638061523, 'learning_rate': 2.627697841726619e-05, 'epoch': 4.75} -{'loss': 0.4293, 'grad_norm': 3.577564001083374, 'learning_rate': 2.6267985611510793e-05, 'epoch': 4.76} -{'loss': 0.4279, 'grad_norm': 2.3708174228668213, 'learning_rate': 2.6258992805755394e-05, 'epoch': 4.76} - 48%|████████████████████████████████████████████████████████████▋ | 2660/5570 [42:16<39:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43814951181411743, 'eval_runtime': 1.5479, 'eval_samples_per_second': 465.154, 'eval_steps_per_second': 3.876, 'epoch': 4.76} -{'loss': 0.4289, 'grad_norm': 4.315992832183838, 'learning_rate': 2.625e-05, 'epoch': 4.76} -{'loss': 0.4424, 'grad_norm': 4.28377103805542, 'learning_rate': 2.6241007194244605e-05, 'epoch': 4.76} -{'loss': 0.4315, 'grad_norm': 3.3955774307250977, 'learning_rate': 2.6232014388489212e-05, 'epoch': 4.76} -{'loss': 0.4411, 'grad_norm': 3.859873056411743, 'learning_rate': 2.6223021582733816e-05, 'epoch': 4.76} -{'loss': 0.4429, 'grad_norm': 2.5849902629852295, 'learning_rate': 2.6214028776978417e-05, 'epoch': 4.77} -{'loss': 0.4397, 'grad_norm': 2.597416400909424, 'learning_rate': 2.6205035971223024e-05, 'epoch': 4.77} -{'loss': 0.4475, 'grad_norm': 3.238757371902466, 'learning_rate': 2.6196043165467628e-05, 'epoch': 4.77} -{'loss': 0.4347, 'grad_norm': 2.7513420581817627, 'learning_rate': 2.6187050359712235e-05, 'epoch': 4.77} -{'loss': 0.4347, 'grad_norm': 1.5062228441238403, 'learning_rate': 2.6178057553956835e-05, 'epoch': 4.77} -{'loss': 0.43, 'grad_norm': 2.9003756046295166, 'learning_rate': 2.616906474820144e-05, 'epoch': 4.78} - 48%|████████████████████████████████████████████████████████████▉ | 2670/5570 [42:26<39:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4345647990703583, 'eval_runtime': 1.5239, 'eval_samples_per_second': 472.46, 'eval_steps_per_second': 3.937, 'epoch': 4.78} -{'loss': 0.4278, 'grad_norm': 2.753401756286621, 'learning_rate': 2.6160071942446046e-05, 'epoch': 4.78} -{'loss': 0.4372, 'grad_norm': 2.2607932090759277, 'learning_rate': 2.6151079136690647e-05, 'epoch': 4.78} -{'loss': 0.4281, 'grad_norm': 2.26769757270813, 'learning_rate': 2.614208633093525e-05, 'epoch': 4.78} -{'loss': 0.4341, 'grad_norm': 1.676744818687439, 'learning_rate': 2.6133093525179858e-05, 'epoch': 4.78} -{'loss': 0.437, 'grad_norm': 3.1962461471557617, 'learning_rate': 2.6124100719424462e-05, 'epoch': 4.78} -{'loss': 0.4473, 'grad_norm': 3.7021541595458984, 'learning_rate': 2.611510791366907e-05, 'epoch': 4.79} -{'loss': 0.4236, 'grad_norm': 1.8658236265182495, 'learning_rate': 2.610611510791367e-05, 'epoch': 4.79} -{'loss': 0.4405, 'grad_norm': 2.8516170978546143, 'learning_rate': 2.6097122302158273e-05, 'epoch': 4.79} -{'loss': 0.4298, 'grad_norm': 3.016568422317505, 'learning_rate': 2.608812949640288e-05, 'epoch': 4.79} -{'loss': 0.4322, 'grad_norm': 1.871843934059143, 'learning_rate': 2.607913669064748e-05, 'epoch': 4.79} - 48%|█████████████████████████████████████████████████████████████ | 2680/5570 [42:36<39:14, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4356512725353241, 'eval_runtime': 1.5206, 'eval_samples_per_second': 473.508, 'eval_steps_per_second': 3.946, 'epoch': 4.79} -{'loss': 0.4278, 'grad_norm': 4.246109962463379, 'learning_rate': 2.607014388489209e-05, 'epoch': 4.8} -{'loss': 0.4343, 'grad_norm': 5.213052749633789, 'learning_rate': 2.6061151079136692e-05, 'epoch': 4.8} -{'loss': 0.4269, 'grad_norm': 2.8603463172912598, 'learning_rate': 2.6052158273381293e-05, 'epoch': 4.8} -{'loss': 0.4319, 'grad_norm': 2.5515098571777344, 'learning_rate': 2.6043165467625903e-05, 'epoch': 4.8} -{'loss': 0.4403, 'grad_norm': 3.0349864959716797, 'learning_rate': 2.6034172661870504e-05, 'epoch': 4.8} -{'loss': 0.438, 'grad_norm': 3.3041932582855225, 'learning_rate': 2.602517985611511e-05, 'epoch': 4.8} -{'loss': 0.4328, 'grad_norm': 1.9002819061279297, 'learning_rate': 2.6016187050359715e-05, 'epoch': 4.81} -{'loss': 0.4386, 'grad_norm': 3.691415309906006, 'learning_rate': 2.6007194244604315e-05, 'epoch': 4.81} -{'loss': 0.4365, 'grad_norm': 4.499938011169434, 'learning_rate': 2.5998201438848923e-05, 'epoch': 4.81} -{'loss': 0.4402, 'grad_norm': 2.819904327392578, 'learning_rate': 2.5989208633093526e-05, 'epoch': 4.81} - 48%|█████████████████████████████████████████████████████████████▎ | 2690/5570 [42:45<39:32, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43376320600509644, 'eval_runtime': 1.5167, 'eval_samples_per_second': 474.707, 'eval_steps_per_second': 3.956, 'epoch': 4.81} -{'loss': 0.4278, 'grad_norm': 2.960632801055908, 'learning_rate': 2.5980215827338127e-05, 'epoch': 4.81} -{'loss': 0.4362, 'grad_norm': 2.966344118118286, 'learning_rate': 2.5971223021582734e-05, 'epoch': 4.82} -{'loss': 0.4265, 'grad_norm': 2.2989792823791504, 'learning_rate': 2.5962230215827338e-05, 'epoch': 4.82} -{'loss': 0.4362, 'grad_norm': 1.7481030225753784, 'learning_rate': 2.5953237410071945e-05, 'epoch': 4.82} -{'loss': 0.4341, 'grad_norm': 4.083802223205566, 'learning_rate': 2.594424460431655e-05, 'epoch': 4.82} -{'loss': 0.4375, 'grad_norm': 5.342897415161133, 'learning_rate': 2.593525179856115e-05, 'epoch': 4.82} -{'loss': 0.441, 'grad_norm': 4.003149509429932, 'learning_rate': 2.5926258992805757e-05, 'epoch': 4.82} -{'loss': 0.436, 'grad_norm': 1.8666778802871704, 'learning_rate': 2.591726618705036e-05, 'epoch': 4.83} -{'loss': 0.4336, 'grad_norm': 3.581568479537964, 'learning_rate': 2.5908273381294968e-05, 'epoch': 4.83} -{'loss': 0.4354, 'grad_norm': 3.438856601715088, 'learning_rate': 2.589928057553957e-05, 'epoch': 4.83} - 48%|█████████████████████████████████████████████████████████████▌ | 2700/5570 [42:55<38:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43546295166015625, 'eval_runtime': 1.5277, 'eval_samples_per_second': 471.296, 'eval_steps_per_second': 3.927, 'epoch': 4.83} -{'loss': 0.4345, 'grad_norm': 3.217468023300171, 'learning_rate': 2.5890287769784172e-05, 'epoch': 4.83} -{'loss': 0.4301, 'grad_norm': 3.0462613105773926, 'learning_rate': 2.588129496402878e-05, 'epoch': 4.83} -{'loss': 0.4295, 'grad_norm': 1.8244267702102661, 'learning_rate': 2.587230215827338e-05, 'epoch': 4.83} -{'loss': 0.4264, 'grad_norm': 1.8739629983901978, 'learning_rate': 2.586330935251799e-05, 'epoch': 4.84} -{'loss': 0.4313, 'grad_norm': 1.705952763557434, 'learning_rate': 2.585431654676259e-05, 'epoch': 4.84} -{'loss': 0.4335, 'grad_norm': 1.990662932395935, 'learning_rate': 2.5845323741007195e-05, 'epoch': 4.84} -{'loss': 0.4226, 'grad_norm': 2.0255844593048096, 'learning_rate': 2.5836330935251802e-05, 'epoch': 4.84} -{'loss': 0.4305, 'grad_norm': 2.7878355979919434, 'learning_rate': 2.5827338129496403e-05, 'epoch': 4.84} -{'loss': 0.4371, 'grad_norm': 2.0246474742889404, 'learning_rate': 2.581834532374101e-05, 'epoch': 4.85} -{'loss': 0.433, 'grad_norm': 2.6798651218414307, 'learning_rate': 2.5809352517985614e-05, 'epoch': 4.85} - 49%|█████████████████████████████████████████████████████████████▊ | 2710/5570 [43:05<38:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43456506729125977, 'eval_runtime': 1.5365, 'eval_samples_per_second': 468.596, 'eval_steps_per_second': 3.905, 'epoch': 4.85} -{'loss': 0.4359, 'grad_norm': 3.109600067138672, 'learning_rate': 2.5800359712230214e-05, 'epoch': 4.85} -{'loss': 0.4241, 'grad_norm': 0.9279093742370605, 'learning_rate': 2.5791366906474825e-05, 'epoch': 4.85} -{'loss': 0.4334, 'grad_norm': 2.2899186611175537, 'learning_rate': 2.5782374100719425e-05, 'epoch': 4.85} -{'loss': 0.434, 'grad_norm': 2.544123411178589, 'learning_rate': 2.577338129496403e-05, 'epoch': 4.85} -{'loss': 0.4246, 'grad_norm': 2.526212215423584, 'learning_rate': 2.5764388489208636e-05, 'epoch': 4.86} -{'loss': 0.4314, 'grad_norm': 2.931736469268799, 'learning_rate': 2.5755395683453237e-05, 'epoch': 4.86} -{'loss': 0.4364, 'grad_norm': 3.935047149658203, 'learning_rate': 2.5746402877697844e-05, 'epoch': 4.86} -{'loss': 0.4332, 'grad_norm': 2.3938753604888916, 'learning_rate': 2.5737410071942448e-05, 'epoch': 4.86} -{'loss': 0.427, 'grad_norm': 2.4569780826568604, 'learning_rate': 2.572841726618705e-05, 'epoch': 4.86} -{'loss': 0.4321, 'grad_norm': 2.000869035720825, 'learning_rate': 2.5719424460431656e-05, 'epoch': 4.87} - 49%|██████████████████████████████████████████████████████████████ | 2720/5570 [43:14<38:22, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.431487113237381, 'eval_runtime': 1.5216, 'eval_samples_per_second': 473.193, 'eval_steps_per_second': 3.943, 'epoch': 4.87} -{'loss': 0.4309, 'grad_norm': 1.964156150817871, 'learning_rate': 2.571043165467626e-05, 'epoch': 4.87} -{'loss': 0.421, 'grad_norm': 2.7191786766052246, 'learning_rate': 2.5701438848920867e-05, 'epoch': 4.87} -{'loss': 0.4279, 'grad_norm': 2.3194239139556885, 'learning_rate': 2.569244604316547e-05, 'epoch': 4.87} -{'loss': 0.4285, 'grad_norm': 1.63275945186615, 'learning_rate': 2.568345323741007e-05, 'epoch': 4.87} -{'loss': 0.4391, 'grad_norm': 2.15029239654541, 'learning_rate': 2.5674460431654678e-05, 'epoch': 4.87} -{'loss': 0.4316, 'grad_norm': 3.9185733795166016, 'learning_rate': 2.5665467625899282e-05, 'epoch': 4.88} -{'loss': 0.4364, 'grad_norm': 3.3177618980407715, 'learning_rate': 2.565647482014389e-05, 'epoch': 4.88} -{'loss': 0.4388, 'grad_norm': 2.22308087348938, 'learning_rate': 2.564748201438849e-05, 'epoch': 4.88} -{'loss': 0.435, 'grad_norm': 2.3264753818511963, 'learning_rate': 2.5638489208633094e-05, 'epoch': 4.88} -{'loss': 0.4332, 'grad_norm': 3.5616941452026367, 'learning_rate': 2.56294964028777e-05, 'epoch': 4.88} - 49%|██████████████████████████████████████████████████████████████▏ | 2730/5570 [43:24<38:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43178966641426086, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.205, 'eval_steps_per_second': 3.91, 'epoch': 4.88} -{'loss': 0.4312, 'grad_norm': 3.1586368083953857, 'learning_rate': 2.56205035971223e-05, 'epoch': 4.89} -{'loss': 0.4285, 'grad_norm': 2.3602421283721924, 'learning_rate': 2.5611510791366905e-05, 'epoch': 4.89} -{'loss': 0.4312, 'grad_norm': 3.2402589321136475, 'learning_rate': 2.5602517985611512e-05, 'epoch': 4.89} -{'loss': 0.4329, 'grad_norm': 2.00046706199646, 'learning_rate': 2.5593525179856116e-05, 'epoch': 4.89} -{'loss': 0.4292, 'grad_norm': 1.645255446434021, 'learning_rate': 2.5584532374100724e-05, 'epoch': 4.89} -{'loss': 0.4383, 'grad_norm': 2.0236027240753174, 'learning_rate': 2.5575539568345324e-05, 'epoch': 4.89} -{'loss': 0.4371, 'grad_norm': 2.4363293647766113, 'learning_rate': 2.5566546762589928e-05, 'epoch': 4.9} -{'loss': 0.4322, 'grad_norm': 1.4429433345794678, 'learning_rate': 2.5557553956834535e-05, 'epoch': 4.9} -{'loss': 0.4479, 'grad_norm': 2.4894919395446777, 'learning_rate': 2.5548561151079136e-05, 'epoch': 4.9} -{'loss': 0.4346, 'grad_norm': 1.9195690155029297, 'learning_rate': 2.5539568345323743e-05, 'epoch': 4.9} - 49%|██████████████████████████████████████████████████████████████▍ | 2740/5570 [43:33<38:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4294126331806183, 'eval_runtime': 1.5313, 'eval_samples_per_second': 470.191, 'eval_steps_per_second': 3.918, 'epoch': 4.9} -{'loss': 0.4384, 'grad_norm': 1.7901034355163574, 'learning_rate': 2.5530575539568347e-05, 'epoch': 4.9} -{'loss': 0.4239, 'grad_norm': 2.273480176925659, 'learning_rate': 2.5521582733812947e-05, 'epoch': 4.9} -{'loss': 0.4296, 'grad_norm': 2.220688581466675, 'learning_rate': 2.5512589928057558e-05, 'epoch': 4.91} -{'loss': 0.4252, 'grad_norm': 1.846698522567749, 'learning_rate': 2.5503597122302158e-05, 'epoch': 4.91} -{'loss': 0.4331, 'grad_norm': 2.751800060272217, 'learning_rate': 2.5494604316546765e-05, 'epoch': 4.91} -{'loss': 0.4345, 'grad_norm': 5.6194281578063965, 'learning_rate': 2.548561151079137e-05, 'epoch': 4.91} -{'loss': 0.4356, 'grad_norm': 2.6211459636688232, 'learning_rate': 2.547661870503597e-05, 'epoch': 4.91} -{'loss': 0.4401, 'grad_norm': 3.6095118522644043, 'learning_rate': 2.5467625899280577e-05, 'epoch': 4.92} -{'loss': 0.4477, 'grad_norm': 2.7772910594940186, 'learning_rate': 2.545863309352518e-05, 'epoch': 4.92} -{'loss': 0.4322, 'grad_norm': 3.825510263442993, 'learning_rate': 2.5449640287769788e-05, 'epoch': 4.92} - 49%|██████████████████████████████████████████████████████████████▋ | 2750/5570 [43:43<38:29, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43264028429985046, 'eval_runtime': 1.526, 'eval_samples_per_second': 471.812, 'eval_steps_per_second': 3.932, 'epoch': 4.92} -{'loss': 0.4319, 'grad_norm': 1.6067451238632202, 'learning_rate': 2.544064748201439e-05, 'epoch': 4.92} -{'loss': 0.4199, 'grad_norm': 2.9867076873779297, 'learning_rate': 2.5431654676258992e-05, 'epoch': 4.92} -{'loss': 0.4342, 'grad_norm': 3.189356803894043, 'learning_rate': 2.54226618705036e-05, 'epoch': 4.92} -{'loss': 0.4311, 'grad_norm': 1.3701125383377075, 'learning_rate': 2.5413669064748204e-05, 'epoch': 4.93} -{'loss': 0.4319, 'grad_norm': 2.3733837604522705, 'learning_rate': 2.5404676258992804e-05, 'epoch': 4.93} -{'loss': 0.4323, 'grad_norm': 2.5888726711273193, 'learning_rate': 2.539568345323741e-05, 'epoch': 4.93} -{'loss': 0.4207, 'grad_norm': 3.429847002029419, 'learning_rate': 2.5386690647482015e-05, 'epoch': 4.93} -{'loss': 0.4226, 'grad_norm': 1.3844014406204224, 'learning_rate': 2.5377697841726622e-05, 'epoch': 4.93} -{'loss': 0.4358, 'grad_norm': 3.496412754058838, 'learning_rate': 2.5368705035971223e-05, 'epoch': 4.94} -{'loss': 0.4257, 'grad_norm': 2.4675545692443848, 'learning_rate': 2.5359712230215827e-05, 'epoch': 4.94} - 50%|██████████████████████████████████████████████████████████████▉ | 2760/5570 [43:52<38:15, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4318122863769531, 'eval_runtime': 1.5247, 'eval_samples_per_second': 472.213, 'eval_steps_per_second': 3.935, 'epoch': 4.94} -{'loss': 0.426, 'grad_norm': 2.111452579498291, 'learning_rate': 2.5350719424460434e-05, 'epoch': 4.94} -{'loss': 0.4301, 'grad_norm': 2.166982889175415, 'learning_rate': 2.5341726618705038e-05, 'epoch': 4.94} -{'loss': 0.436, 'grad_norm': 1.4513421058654785, 'learning_rate': 2.5332733812949645e-05, 'epoch': 4.94} -{'loss': 0.4326, 'grad_norm': 1.3585822582244873, 'learning_rate': 2.5323741007194246e-05, 'epoch': 4.94} -{'loss': 0.4324, 'grad_norm': 3.1825778484344482, 'learning_rate': 2.531474820143885e-05, 'epoch': 4.95} -{'loss': 0.4247, 'grad_norm': 2.5751826763153076, 'learning_rate': 2.5305755395683457e-05, 'epoch': 4.95} -{'loss': 0.4304, 'grad_norm': 1.5957307815551758, 'learning_rate': 2.5296762589928057e-05, 'epoch': 4.95} -{'loss': 0.4312, 'grad_norm': 3.108919858932495, 'learning_rate': 2.5287769784172664e-05, 'epoch': 4.95} -{'loss': 0.4307, 'grad_norm': 2.004009485244751, 'learning_rate': 2.5278776978417268e-05, 'epoch': 4.95} -{'loss': 0.4287, 'grad_norm': 3.1474475860595703, 'learning_rate': 2.526978417266187e-05, 'epoch': 4.96} - 50%|███████████████████████████████████████████████████████████████▏ | 2770/5570 [44:02<38:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43147170543670654, 'eval_runtime': 1.5221, 'eval_samples_per_second': 473.035, 'eval_steps_per_second': 3.942, 'epoch': 4.96} -{'loss': 0.4328, 'grad_norm': 2.019460678100586, 'learning_rate': 2.526079136690648e-05, 'epoch': 4.96} -{'loss': 0.4287, 'grad_norm': 2.1127209663391113, 'learning_rate': 2.525179856115108e-05, 'epoch': 4.96} -{'loss': 0.4276, 'grad_norm': 1.910974144935608, 'learning_rate': 2.5242805755395684e-05, 'epoch': 4.96} -{'loss': 0.4321, 'grad_norm': 1.8901580572128296, 'learning_rate': 2.523381294964029e-05, 'epoch': 4.96} -{'loss': 0.4395, 'grad_norm': 1.7998963594436646, 'learning_rate': 2.522482014388489e-05, 'epoch': 4.96} -{'loss': 0.4253, 'grad_norm': 1.2268955707550049, 'learning_rate': 2.52158273381295e-05, 'epoch': 4.97} -{'loss': 0.4327, 'grad_norm': 2.043351650238037, 'learning_rate': 2.5206834532374102e-05, 'epoch': 4.97} -{'loss': 0.4279, 'grad_norm': 2.7588062286376953, 'learning_rate': 2.5197841726618703e-05, 'epoch': 4.97} -{'loss': 0.425, 'grad_norm': 1.2267124652862549, 'learning_rate': 2.518884892086331e-05, 'epoch': 4.97} -{'loss': 0.4323, 'grad_norm': 4.643575191497803, 'learning_rate': 2.5179856115107914e-05, 'epoch': 4.97} - 50%|███████████████████████████████████████████████████████████████▍ | 2780/5570 [44:11<38:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4363255798816681, 'eval_runtime': 1.5242, 'eval_samples_per_second': 472.372, 'eval_steps_per_second': 3.936, 'epoch': 4.97} -{'loss': 0.434, 'grad_norm': 3.6767489910125732, 'learning_rate': 2.517086330935252e-05, 'epoch': 4.97} -{'loss': 0.4356, 'grad_norm': 2.1554696559906006, 'learning_rate': 2.5161870503597125e-05, 'epoch': 4.98} -{'loss': 0.427, 'grad_norm': 2.1406021118164062, 'learning_rate': 2.5152877697841726e-05, 'epoch': 4.98} -{'loss': 0.4309, 'grad_norm': 1.0772238969802856, 'learning_rate': 2.5143884892086333e-05, 'epoch': 4.98} -{'loss': 0.434, 'grad_norm': 2.3160324096679688, 'learning_rate': 2.5134892086330937e-05, 'epoch': 4.98} -{'loss': 0.431, 'grad_norm': 2.359713077545166, 'learning_rate': 2.5125899280575544e-05, 'epoch': 4.98} -{'loss': 0.4343, 'grad_norm': 1.7427315711975098, 'learning_rate': 2.5116906474820144e-05, 'epoch': 4.99} -{'loss': 0.4319, 'grad_norm': 2.563175678253174, 'learning_rate': 2.5107913669064748e-05, 'epoch': 4.99} -{'loss': 0.4281, 'grad_norm': 2.928030252456665, 'learning_rate': 2.5098920863309355e-05, 'epoch': 4.99} -{'loss': 0.4347, 'grad_norm': 2.179236888885498, 'learning_rate': 2.5089928057553956e-05, 'epoch': 4.99} - 50%|███████████████████████████████████████████████████████████████▌ | 2790/5570 [44:20<36:17, 1.28it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43380337953567505, 'eval_runtime': 1.5238, 'eval_samples_per_second': 472.506, 'eval_steps_per_second': 3.938, 'epoch': 4.99} -{'loss': 0.4259, 'grad_norm': 2.4489948749542236, 'learning_rate': 2.508093525179856e-05, 'epoch': 4.99} -{'loss': 0.4329, 'grad_norm': 2.043180465698242, 'learning_rate': 2.5071942446043167e-05, 'epoch': 4.99} -{'loss': 0.4312, 'grad_norm': 1.1160860061645508, 'learning_rate': 2.506294964028777e-05, 'epoch': 5.0} -{'loss': 0.4393, 'grad_norm': 3.206411361694336, 'learning_rate': 2.5053956834532378e-05, 'epoch': 5.0} -{'loss': 0.4427, 'grad_norm': 4.337774276733398, 'learning_rate': 2.504496402877698e-05, 'epoch': 5.0} -{'loss': 0.4302, 'grad_norm': 2.0119967460632324, 'learning_rate': 2.5035971223021582e-05, 'epoch': 5.0} -{'loss': 0.4307, 'grad_norm': 2.291682481765747, 'learning_rate': 2.502697841726619e-05, 'epoch': 5.0} -{'loss': 0.4324, 'grad_norm': 2.8301923274993896, 'learning_rate': 2.501798561151079e-05, 'epoch': 5.01} -{'loss': 0.4247, 'grad_norm': 1.7816656827926636, 'learning_rate': 2.50089928057554e-05, 'epoch': 5.01} -{'loss': 0.4352, 'grad_norm': 1.6034448146820068, 'learning_rate': 2.5e-05, 'epoch': 5.01} - 50%|███████████████████████████████████████████████████████████████▊ | 2800/5570 [44:30<37:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4311760663986206, 'eval_runtime': 1.5473, 'eval_samples_per_second': 465.313, 'eval_steps_per_second': 3.878, 'epoch': 5.01} -{'loss': 0.4276, 'grad_norm': 1.8888745307922363, 'learning_rate': 2.4991007194244605e-05, 'epoch': 5.01} -{'loss': 0.4394, 'grad_norm': 2.7324442863464355, 'learning_rate': 2.4982014388489212e-05, 'epoch': 5.01} -{'loss': 0.4241, 'grad_norm': 1.1068387031555176, 'learning_rate': 2.4973021582733813e-05, 'epoch': 5.01} -{'loss': 0.4239, 'grad_norm': 1.0097453594207764, 'learning_rate': 2.4964028776978417e-05, 'epoch': 5.02} -{'loss': 0.4268, 'grad_norm': 1.912237524986267, 'learning_rate': 2.4955035971223024e-05, 'epoch': 5.02} -{'loss': 0.4315, 'grad_norm': 1.7400157451629639, 'learning_rate': 2.4946043165467628e-05, 'epoch': 5.02} -{'loss': 0.4317, 'grad_norm': 2.618901014328003, 'learning_rate': 2.493705035971223e-05, 'epoch': 5.02} -{'loss': 0.4348, 'grad_norm': 2.670293092727661, 'learning_rate': 2.4928057553956835e-05, 'epoch': 5.02} -{'loss': 0.4261, 'grad_norm': 1.6999332904815674, 'learning_rate': 2.491906474820144e-05, 'epoch': 5.03} -{'loss': 0.43, 'grad_norm': 1.6981271505355835, 'learning_rate': 2.4910071942446047e-05, 'epoch': 5.03} - 50%|████████████████████████████████████████████████████████████████ | 2810/5570 [44:39<37:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4307987689971924, 'eval_runtime': 1.5195, 'eval_samples_per_second': 473.851, 'eval_steps_per_second': 3.949, 'epoch': 5.03} -{'loss': 0.4307, 'grad_norm': 1.4486331939697266, 'learning_rate': 2.490107913669065e-05, 'epoch': 5.03} -{'loss': 0.4251, 'grad_norm': 1.8469352722167969, 'learning_rate': 2.489208633093525e-05, 'epoch': 5.03} -{'loss': 0.4329, 'grad_norm': 3.882218360900879, 'learning_rate': 2.4883093525179858e-05, 'epoch': 5.03} -{'loss': 0.4276, 'grad_norm': 2.340610980987549, 'learning_rate': 2.4874100719424462e-05, 'epoch': 5.03} -{'loss': 0.4274, 'grad_norm': 1.1836670637130737, 'learning_rate': 2.4865107913669066e-05, 'epoch': 5.04} -{'loss': 0.4207, 'grad_norm': 1.2597962617874146, 'learning_rate': 2.485611510791367e-05, 'epoch': 5.04} -{'loss': 0.4187, 'grad_norm': 1.9890320301055908, 'learning_rate': 2.4847122302158273e-05, 'epoch': 5.04} -{'loss': 0.4272, 'grad_norm': 2.081418752670288, 'learning_rate': 2.4838129496402877e-05, 'epoch': 5.04} -{'loss': 0.4306, 'grad_norm': 2.4462995529174805, 'learning_rate': 2.4829136690647485e-05, 'epoch': 5.04} -{'loss': 0.4214, 'grad_norm': 2.2550787925720215, 'learning_rate': 2.482014388489209e-05, 'epoch': 5.04} - 51%|████████████████████████████████████████████████████████████████▎ | 2820/5570 [44:49<37:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4359407126903534, 'eval_runtime': 1.5186, 'eval_samples_per_second': 474.11, 'eval_steps_per_second': 3.951, 'epoch': 5.04} -{'loss': 0.4362, 'grad_norm': 2.610806465148926, 'learning_rate': 2.4811151079136692e-05, 'epoch': 5.05} -{'loss': 0.4349, 'grad_norm': 1.8524131774902344, 'learning_rate': 2.4802158273381296e-05, 'epoch': 5.05} -{'loss': 0.424, 'grad_norm': 3.358975648880005, 'learning_rate': 2.47931654676259e-05, 'epoch': 5.05} -{'loss': 0.4233, 'grad_norm': 1.9952565431594849, 'learning_rate': 2.4784172661870507e-05, 'epoch': 5.05} -{'loss': 0.4373, 'grad_norm': 2.4918606281280518, 'learning_rate': 2.4775179856115108e-05, 'epoch': 5.05} -{'loss': 0.4386, 'grad_norm': 2.429802417755127, 'learning_rate': 2.476618705035971e-05, 'epoch': 5.06} -{'loss': 0.4331, 'grad_norm': 2.0719187259674072, 'learning_rate': 2.475719424460432e-05, 'epoch': 5.06} -{'loss': 0.4328, 'grad_norm': 2.5203888416290283, 'learning_rate': 2.4748201438848923e-05, 'epoch': 5.06} -{'loss': 0.4364, 'grad_norm': 3.9752817153930664, 'learning_rate': 2.4739208633093527e-05, 'epoch': 5.06} -{'loss': 0.4297, 'grad_norm': 3.3171846866607666, 'learning_rate': 2.473021582733813e-05, 'epoch': 5.06} - 51%|████████████████████████████████████████████████████████████████▌ | 2830/5570 [44:59<37:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43223831057548523, 'eval_runtime': 1.5273, 'eval_samples_per_second': 471.431, 'eval_steps_per_second': 3.929, 'epoch': 5.06} -{'loss': 0.4215, 'grad_norm': 2.0871663093566895, 'learning_rate': 2.4721223021582734e-05, 'epoch': 5.06} -{'loss': 0.4269, 'grad_norm': 1.9524320363998413, 'learning_rate': 2.4712230215827338e-05, 'epoch': 5.07} -{'loss': 0.4268, 'grad_norm': 2.0798463821411133, 'learning_rate': 2.4703237410071945e-05, 'epoch': 5.07} -{'loss': 0.4287, 'grad_norm': 2.8968825340270996, 'learning_rate': 2.469424460431655e-05, 'epoch': 5.07} -{'loss': 0.4244, 'grad_norm': 2.1012930870056152, 'learning_rate': 2.4685251798561153e-05, 'epoch': 5.07} -{'loss': 0.4245, 'grad_norm': 2.2174360752105713, 'learning_rate': 2.4676258992805757e-05, 'epoch': 5.07} -{'loss': 0.4263, 'grad_norm': 1.5006358623504639, 'learning_rate': 2.466726618705036e-05, 'epoch': 5.08} -{'loss': 0.4269, 'grad_norm': 3.5237045288085938, 'learning_rate': 2.4658273381294965e-05, 'epoch': 5.08} -{'loss': 0.4428, 'grad_norm': 4.09949254989624, 'learning_rate': 2.464928057553957e-05, 'epoch': 5.08} -{'loss': 0.4306, 'grad_norm': 2.9152097702026367, 'learning_rate': 2.4640287769784172e-05, 'epoch': 5.08} - 51%|████████████████████████████████████████████████████████████████▊ | 2840/5570 [45:08<37:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4303828775882721, 'eval_runtime': 1.5377, 'eval_samples_per_second': 468.237, 'eval_steps_per_second': 3.902, 'epoch': 5.08} -{'loss': 0.4275, 'grad_norm': 1.9112895727157593, 'learning_rate': 2.463129496402878e-05, 'epoch': 5.08} -{'loss': 0.427, 'grad_norm': 1.9248532056808472, 'learning_rate': 2.4622302158273383e-05, 'epoch': 5.08} -{'loss': 0.4291, 'grad_norm': 2.4094436168670654, 'learning_rate': 2.4613309352517987e-05, 'epoch': 5.09} -{'loss': 0.4309, 'grad_norm': 3.6823058128356934, 'learning_rate': 2.460431654676259e-05, 'epoch': 5.09} -{'loss': 0.4339, 'grad_norm': 2.1835832595825195, 'learning_rate': 2.4595323741007195e-05, 'epoch': 5.09} -{'loss': 0.4263, 'grad_norm': 2.622426986694336, 'learning_rate': 2.45863309352518e-05, 'epoch': 5.09} -{'loss': 0.4258, 'grad_norm': 3.8113913536071777, 'learning_rate': 2.4577338129496406e-05, 'epoch': 5.09} -{'loss': 0.4247, 'grad_norm': 3.561696767807007, 'learning_rate': 2.4568345323741007e-05, 'epoch': 5.1} -{'loss': 0.429, 'grad_norm': 3.0041592121124268, 'learning_rate': 2.4559352517985614e-05, 'epoch': 5.1} -{'loss': 0.4252, 'grad_norm': 1.654561996459961, 'learning_rate': 2.4550359712230218e-05, 'epoch': 5.1} - 51%|████████████████████████████████████████████████████████████████▉ | 2850/5570 [45:18<36:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43210992217063904, 'eval_runtime': 1.5224, 'eval_samples_per_second': 472.934, 'eval_steps_per_second': 3.941, 'epoch': 5.1} -{'loss': 0.4279, 'grad_norm': 2.8443403244018555, 'learning_rate': 2.454136690647482e-05, 'epoch': 5.1} -{'loss': 0.4274, 'grad_norm': 2.890589475631714, 'learning_rate': 2.4532374100719425e-05, 'epoch': 5.1} -{'loss': 0.4296, 'grad_norm': 2.182795524597168, 'learning_rate': 2.452338129496403e-05, 'epoch': 5.1} -{'loss': 0.4298, 'grad_norm': 2.170576333999634, 'learning_rate': 2.4514388489208633e-05, 'epoch': 5.11} -{'loss': 0.425, 'grad_norm': 2.208444833755493, 'learning_rate': 2.450539568345324e-05, 'epoch': 5.11} -{'loss': 0.4223, 'grad_norm': 1.570035696029663, 'learning_rate': 2.4496402877697844e-05, 'epoch': 5.11} -{'loss': 0.4275, 'grad_norm': 1.9900568723678589, 'learning_rate': 2.4487410071942445e-05, 'epoch': 5.11} -{'loss': 0.4292, 'grad_norm': 2.1227006912231445, 'learning_rate': 2.4478417266187052e-05, 'epoch': 5.11} -{'loss': 0.4304, 'grad_norm': 1.863796353340149, 'learning_rate': 2.4469424460431656e-05, 'epoch': 5.11} -{'loss': 0.4239, 'grad_norm': 2.2183921337127686, 'learning_rate': 2.446043165467626e-05, 'epoch': 5.12} - 51%|█████████████████████████████████████████████████████████████████▏ | 2860/5570 [45:27<36:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43409496545791626, 'eval_runtime': 1.5229, 'eval_samples_per_second': 472.771, 'eval_steps_per_second': 3.94, 'epoch': 5.12} -{'loss': 0.4205, 'grad_norm': 2.6263325214385986, 'learning_rate': 2.4451438848920867e-05, 'epoch': 5.12} -{'loss': 0.4282, 'grad_norm': 4.857010841369629, 'learning_rate': 2.4442446043165467e-05, 'epoch': 5.12} -{'loss': 0.4255, 'grad_norm': 3.007807970046997, 'learning_rate': 2.443345323741007e-05, 'epoch': 5.12} -{'loss': 0.4235, 'grad_norm': 1.1524206399917603, 'learning_rate': 2.442446043165468e-05, 'epoch': 5.12} -{'loss': 0.4192, 'grad_norm': 1.6994956731796265, 'learning_rate': 2.4415467625899282e-05, 'epoch': 5.13} -{'loss': 0.4275, 'grad_norm': 2.4034390449523926, 'learning_rate': 2.4406474820143886e-05, 'epoch': 5.13} -{'loss': 0.4265, 'grad_norm': 1.67781400680542, 'learning_rate': 2.439748201438849e-05, 'epoch': 5.13} -{'loss': 0.4312, 'grad_norm': 2.3219220638275146, 'learning_rate': 2.4388489208633094e-05, 'epoch': 5.13} -{'loss': 0.4258, 'grad_norm': 3.174868106842041, 'learning_rate': 2.43794964028777e-05, 'epoch': 5.13} -{'loss': 0.4223, 'grad_norm': 2.3013060092926025, 'learning_rate': 2.4370503597122305e-05, 'epoch': 5.13} - 52%|█████████████████████████████████████████████████████████████████▍ | 2870/5570 [45:37<36:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4305603802204132, 'eval_runtime': 1.5175, 'eval_samples_per_second': 474.467, 'eval_steps_per_second': 3.954, 'epoch': 5.13} -{'loss': 0.4333, 'grad_norm': 1.9288417100906372, 'learning_rate': 2.4361510791366905e-05, 'epoch': 5.14} -{'loss': 0.4306, 'grad_norm': 2.4453725814819336, 'learning_rate': 2.4352517985611513e-05, 'epoch': 5.14} -{'loss': 0.4249, 'grad_norm': 2.363585948944092, 'learning_rate': 2.4343525179856116e-05, 'epoch': 5.14} -{'loss': 0.434, 'grad_norm': 2.330456495285034, 'learning_rate': 2.433453237410072e-05, 'epoch': 5.14} -{'loss': 0.4228, 'grad_norm': 1.7476725578308105, 'learning_rate': 2.4325539568345324e-05, 'epoch': 5.14} -{'loss': 0.4242, 'grad_norm': 3.475939989089966, 'learning_rate': 2.4316546762589928e-05, 'epoch': 5.15} -{'loss': 0.4325, 'grad_norm': 1.7916831970214844, 'learning_rate': 2.4307553956834532e-05, 'epoch': 5.15} -{'loss': 0.426, 'grad_norm': 1.4208383560180664, 'learning_rate': 2.429856115107914e-05, 'epoch': 5.15} -{'loss': 0.4289, 'grad_norm': 1.9582688808441162, 'learning_rate': 2.4289568345323743e-05, 'epoch': 5.15} -{'loss': 0.4285, 'grad_norm': 2.1657094955444336, 'learning_rate': 2.4280575539568347e-05, 'epoch': 5.15} - 52%|█████████████████████████████████████████████████████████████████▋ | 2880/5570 [45:46<36:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43337589502334595, 'eval_runtime': 1.5265, 'eval_samples_per_second': 471.672, 'eval_steps_per_second': 3.931, 'epoch': 5.15} -{'loss': 0.4251, 'grad_norm': 1.9321445226669312, 'learning_rate': 2.427158273381295e-05, 'epoch': 5.15} -{'loss': 0.4325, 'grad_norm': 4.333479881286621, 'learning_rate': 2.4262589928057555e-05, 'epoch': 5.16} -{'loss': 0.4223, 'grad_norm': 3.039337635040283, 'learning_rate': 2.4253597122302162e-05, 'epoch': 5.16} -{'loss': 0.4313, 'grad_norm': 2.1665725708007812, 'learning_rate': 2.4244604316546766e-05, 'epoch': 5.16} -{'loss': 0.4311, 'grad_norm': 3.3927605152130127, 'learning_rate': 2.4235611510791366e-05, 'epoch': 5.16} -{'loss': 0.4319, 'grad_norm': 1.7274057865142822, 'learning_rate': 2.4226618705035973e-05, 'epoch': 5.16} -{'loss': 0.4323, 'grad_norm': 2.1995975971221924, 'learning_rate': 2.4217625899280577e-05, 'epoch': 5.17} -{'loss': 0.4213, 'grad_norm': 1.2993727922439575, 'learning_rate': 2.420863309352518e-05, 'epoch': 5.17} -{'loss': 0.4212, 'grad_norm': 1.9289562702178955, 'learning_rate': 2.4199640287769785e-05, 'epoch': 5.17} -{'loss': 0.4192, 'grad_norm': 2.5195183753967285, 'learning_rate': 2.419064748201439e-05, 'epoch': 5.17} - 52%|█████████████████████████████████████████████████████████████████▉ | 2890/5570 [45:56<35:59, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4315473735332489, 'eval_runtime': 1.5497, 'eval_samples_per_second': 464.617, 'eval_steps_per_second': 3.872, 'epoch': 5.17} -{'loss': 0.427, 'grad_norm': 2.160283327102661, 'learning_rate': 2.4181654676258993e-05, 'epoch': 5.17} -{'loss': 0.4163, 'grad_norm': 2.028136968612671, 'learning_rate': 2.41726618705036e-05, 'epoch': 5.17} -{'loss': 0.4331, 'grad_norm': 2.1917688846588135, 'learning_rate': 2.4163669064748204e-05, 'epoch': 5.18} -{'loss': 0.4298, 'grad_norm': 2.213981866836548, 'learning_rate': 2.4154676258992808e-05, 'epoch': 5.18} -{'loss': 0.4267, 'grad_norm': 3.0161547660827637, 'learning_rate': 2.414568345323741e-05, 'epoch': 5.18} -{'loss': 0.4277, 'grad_norm': 1.318378210067749, 'learning_rate': 2.4136690647482015e-05, 'epoch': 5.18} -{'loss': 0.4304, 'grad_norm': 2.603020429611206, 'learning_rate': 2.4127697841726622e-05, 'epoch': 5.18} -{'loss': 0.428, 'grad_norm': 3.210958242416382, 'learning_rate': 2.4118705035971223e-05, 'epoch': 5.18} -{'loss': 0.4241, 'grad_norm': 2.4770283699035645, 'learning_rate': 2.4109712230215827e-05, 'epoch': 5.19} -{'loss': 0.4248, 'grad_norm': 2.240845203399658, 'learning_rate': 2.4100719424460434e-05, 'epoch': 5.19} - 52%|██████████████████████████████████████████████████████████████████ | 2900/5570 [46:05<36:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4312317669391632, 'eval_runtime': 1.5246, 'eval_samples_per_second': 472.257, 'eval_steps_per_second': 3.935, 'epoch': 5.19} -{'loss': 0.4352, 'grad_norm': 2.4655914306640625, 'learning_rate': 2.4091726618705038e-05, 'epoch': 5.19} -{'loss': 0.4304, 'grad_norm': 1.700232982635498, 'learning_rate': 2.4082733812949642e-05, 'epoch': 5.19} -{'loss': 0.44, 'grad_norm': 1.934253454208374, 'learning_rate': 2.4073741007194246e-05, 'epoch': 5.19} -{'loss': 0.4269, 'grad_norm': 3.657536268234253, 'learning_rate': 2.406474820143885e-05, 'epoch': 5.2} -{'loss': 0.432, 'grad_norm': 2.3172221183776855, 'learning_rate': 2.4055755395683453e-05, 'epoch': 5.2} -{'loss': 0.4335, 'grad_norm': 2.767324924468994, 'learning_rate': 2.404676258992806e-05, 'epoch': 5.2} -{'loss': 0.4289, 'grad_norm': 3.63912034034729, 'learning_rate': 2.403776978417266e-05, 'epoch': 5.2} -{'loss': 0.4365, 'grad_norm': 4.506988525390625, 'learning_rate': 2.4028776978417268e-05, 'epoch': 5.2} -{'loss': 0.4315, 'grad_norm': 3.020385265350342, 'learning_rate': 2.4019784172661872e-05, 'epoch': 5.2} -{'loss': 0.4294, 'grad_norm': 1.6004220247268677, 'learning_rate': 2.4010791366906476e-05, 'epoch': 5.21} - 52%|██████████████████████████████████████████████████████████████████▎ | 2910/5570 [46:15<36:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4338427186012268, 'eval_runtime': 1.5366, 'eval_samples_per_second': 468.556, 'eval_steps_per_second': 3.905, 'epoch': 5.21} -{'loss': 0.427, 'grad_norm': 3.3174502849578857, 'learning_rate': 2.400179856115108e-05, 'epoch': 5.21} -{'loss': 0.4244, 'grad_norm': 1.6084628105163574, 'learning_rate': 2.3992805755395684e-05, 'epoch': 5.21} -{'loss': 0.4191, 'grad_norm': 2.2891530990600586, 'learning_rate': 2.3983812949640288e-05, 'epoch': 5.21} -{'loss': 0.4204, 'grad_norm': 2.7445061206817627, 'learning_rate': 2.3974820143884895e-05, 'epoch': 5.21} -{'loss': 0.4302, 'grad_norm': 2.025242567062378, 'learning_rate': 2.39658273381295e-05, 'epoch': 5.22} -{'loss': 0.4286, 'grad_norm': 2.716782331466675, 'learning_rate': 2.39568345323741e-05, 'epoch': 5.22} -{'loss': 0.4295, 'grad_norm': 1.7670518159866333, 'learning_rate': 2.3947841726618706e-05, 'epoch': 5.22} -{'loss': 0.424, 'grad_norm': 2.0530858039855957, 'learning_rate': 2.393884892086331e-05, 'epoch': 5.22} -{'loss': 0.4267, 'grad_norm': 1.8060811758041382, 'learning_rate': 2.3929856115107914e-05, 'epoch': 5.22} -{'loss': 0.4197, 'grad_norm': 3.133997917175293, 'learning_rate': 2.392086330935252e-05, 'epoch': 5.22} - 52%|██████████████████████████████████████████████████████████████████▌ | 2920/5570 [46:24<36:12, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4322817623615265, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.361, 'eval_steps_per_second': 3.903, 'epoch': 5.22} -{'loss': 0.4351, 'grad_norm': 4.074128150939941, 'learning_rate': 2.3911870503597122e-05, 'epoch': 5.23} -{'loss': 0.4306, 'grad_norm': 1.9841285943984985, 'learning_rate': 2.390287769784173e-05, 'epoch': 5.23} -{'loss': 0.4334, 'grad_norm': 3.731626272201538, 'learning_rate': 2.3893884892086333e-05, 'epoch': 5.23} -{'loss': 0.424, 'grad_norm': 2.4225425720214844, 'learning_rate': 2.3884892086330937e-05, 'epoch': 5.23} -{'loss': 0.4273, 'grad_norm': 1.5182534456253052, 'learning_rate': 2.387589928057554e-05, 'epoch': 5.23} -{'loss': 0.4218, 'grad_norm': 2.598867654800415, 'learning_rate': 2.3866906474820144e-05, 'epoch': 5.24} -{'loss': 0.4308, 'grad_norm': 2.4508213996887207, 'learning_rate': 2.3857913669064748e-05, 'epoch': 5.24} -{'loss': 0.4218, 'grad_norm': 3.534238815307617, 'learning_rate': 2.3848920863309356e-05, 'epoch': 5.24} -{'loss': 0.4305, 'grad_norm': 4.429584980010986, 'learning_rate': 2.383992805755396e-05, 'epoch': 5.24} -{'loss': 0.4256, 'grad_norm': 2.0230422019958496, 'learning_rate': 2.383093525179856e-05, 'epoch': 5.24} - 53%|██████████████████████████████████████████████████████████████████▊ | 2930/5570 [46:34<35:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4323999285697937, 'eval_runtime': 1.5203, 'eval_samples_per_second': 473.6, 'eval_steps_per_second': 3.947, 'epoch': 5.24} -{'loss': 0.4251, 'grad_norm': 2.2954323291778564, 'learning_rate': 2.3821942446043167e-05, 'epoch': 5.24} -{'loss': 0.4223, 'grad_norm': 3.0818700790405273, 'learning_rate': 2.381294964028777e-05, 'epoch': 5.25} -{'loss': 0.4248, 'grad_norm': 2.8332479000091553, 'learning_rate': 2.3803956834532375e-05, 'epoch': 5.25} -{'loss': 0.4326, 'grad_norm': 2.9401063919067383, 'learning_rate': 2.3794964028776982e-05, 'epoch': 5.25} -{'loss': 0.4277, 'grad_norm': 2.540269136428833, 'learning_rate': 2.3785971223021583e-05, 'epoch': 5.25} -{'loss': 0.4209, 'grad_norm': 1.3298630714416504, 'learning_rate': 2.3776978417266186e-05, 'epoch': 5.25} -{'loss': 0.4229, 'grad_norm': 2.8313186168670654, 'learning_rate': 2.3767985611510794e-05, 'epoch': 5.25} -{'loss': 0.424, 'grad_norm': 1.6989017724990845, 'learning_rate': 2.3758992805755397e-05, 'epoch': 5.26} -{'loss': 0.4237, 'grad_norm': 2.396785020828247, 'learning_rate': 2.375e-05, 'epoch': 5.26} -{'loss': 0.4363, 'grad_norm': 2.5631353855133057, 'learning_rate': 2.3741007194244605e-05, 'epoch': 5.26} - 53%|███████████████████████████████████████████████████████████████████ | 2940/5570 [46:44<35:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4311065673828125, 'eval_runtime': 1.5512, 'eval_samples_per_second': 464.143, 'eval_steps_per_second': 3.868, 'epoch': 5.26} -{'loss': 0.4325, 'grad_norm': 2.2325642108917236, 'learning_rate': 2.373201438848921e-05, 'epoch': 5.26} -{'loss': 0.43, 'grad_norm': 2.6013643741607666, 'learning_rate': 2.3723021582733816e-05, 'epoch': 5.26} -{'loss': 0.4314, 'grad_norm': 3.9789204597473145, 'learning_rate': 2.371402877697842e-05, 'epoch': 5.27} -{'loss': 0.437, 'grad_norm': 3.4398508071899414, 'learning_rate': 2.370503597122302e-05, 'epoch': 5.27} -{'loss': 0.4415, 'grad_norm': 4.469616889953613, 'learning_rate': 2.3696043165467628e-05, 'epoch': 5.27} -{'loss': 0.4343, 'grad_norm': 3.6894114017486572, 'learning_rate': 2.368705035971223e-05, 'epoch': 5.27} -{'loss': 0.429, 'grad_norm': 2.7440409660339355, 'learning_rate': 2.3678057553956836e-05, 'epoch': 5.27} -{'loss': 0.4215, 'grad_norm': 2.8003480434417725, 'learning_rate': 2.366906474820144e-05, 'epoch': 5.27} -{'loss': 0.4191, 'grad_norm': 1.3939987421035767, 'learning_rate': 2.3660071942446043e-05, 'epoch': 5.28} -{'loss': 0.4251, 'grad_norm': 1.4531630277633667, 'learning_rate': 2.3651079136690647e-05, 'epoch': 5.28} - 53%|███████████████████████████████████████████████████████████████████▎ | 2950/5570 [46:53<35:28, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4286946952342987, 'eval_runtime': 1.5153, 'eval_samples_per_second': 475.166, 'eval_steps_per_second': 3.96, 'epoch': 5.28} -{'loss': 0.4326, 'grad_norm': 1.6047617197036743, 'learning_rate': 2.3642086330935254e-05, 'epoch': 5.28} -{'loss': 0.424, 'grad_norm': 1.2869523763656616, 'learning_rate': 2.3633093525179858e-05, 'epoch': 5.28} -{'loss': 0.4329, 'grad_norm': 1.4370579719543457, 'learning_rate': 2.3624100719424462e-05, 'epoch': 5.28} -{'loss': 0.4306, 'grad_norm': 2.8263890743255615, 'learning_rate': 2.3615107913669066e-05, 'epoch': 5.29} -{'loss': 0.4292, 'grad_norm': 2.503512144088745, 'learning_rate': 2.360611510791367e-05, 'epoch': 5.29} -{'loss': 0.4289, 'grad_norm': 2.5879127979278564, 'learning_rate': 2.3597122302158277e-05, 'epoch': 5.29} -{'loss': 0.4207, 'grad_norm': 0.9731649160385132, 'learning_rate': 2.3588129496402877e-05, 'epoch': 5.29} -{'loss': 0.4271, 'grad_norm': 2.191481590270996, 'learning_rate': 2.357913669064748e-05, 'epoch': 5.29} -{'loss': 0.4333, 'grad_norm': 2.4116711616516113, 'learning_rate': 2.357014388489209e-05, 'epoch': 5.29} -{'loss': 0.4295, 'grad_norm': 1.425149917602539, 'learning_rate': 2.3561151079136692e-05, 'epoch': 5.3} - 53%|███████████████████████████████████████████████████████████████████▍ | 2960/5570 [47:03<35:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4310333728790283, 'eval_runtime': 1.5597, 'eval_samples_per_second': 461.621, 'eval_steps_per_second': 3.847, 'epoch': 5.3} -{'loss': 0.4262, 'grad_norm': 2.7755703926086426, 'learning_rate': 2.3552158273381296e-05, 'epoch': 5.3} -{'loss': 0.4203, 'grad_norm': 1.7948658466339111, 'learning_rate': 2.35431654676259e-05, 'epoch': 5.3} -{'loss': 0.4324, 'grad_norm': 1.379396915435791, 'learning_rate': 2.3534172661870504e-05, 'epoch': 5.3} -{'loss': 0.4189, 'grad_norm': 1.5690573453903198, 'learning_rate': 2.3525179856115108e-05, 'epoch': 5.3} -{'loss': 0.4289, 'grad_norm': 2.2427122592926025, 'learning_rate': 2.3516187050359715e-05, 'epoch': 5.31} -{'loss': 0.4271, 'grad_norm': 1.627821922302246, 'learning_rate': 2.3507194244604316e-05, 'epoch': 5.31} -{'loss': 0.4377, 'grad_norm': 3.168705940246582, 'learning_rate': 2.3498201438848923e-05, 'epoch': 5.31} -{'loss': 0.4363, 'grad_norm': 2.891512155532837, 'learning_rate': 2.3489208633093527e-05, 'epoch': 5.31} -{'loss': 0.4208, 'grad_norm': 1.0449576377868652, 'learning_rate': 2.348021582733813e-05, 'epoch': 5.31} -{'loss': 0.4208, 'grad_norm': 3.0387656688690186, 'learning_rate': 2.3471223021582738e-05, 'epoch': 5.31} - 53%|███████████████████████████████████████████████████████████████████▋ | 2970/5570 [47:12<35:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4305000305175781, 'eval_runtime': 1.5242, 'eval_samples_per_second': 472.37, 'eval_steps_per_second': 3.936, 'epoch': 5.31} -{'loss': 0.4305, 'grad_norm': 3.6004834175109863, 'learning_rate': 2.3462230215827338e-05, 'epoch': 5.32} -{'loss': 0.4311, 'grad_norm': 3.1690187454223633, 'learning_rate': 2.3453237410071942e-05, 'epoch': 5.32} -{'loss': 0.4276, 'grad_norm': 3.259399890899658, 'learning_rate': 2.344424460431655e-05, 'epoch': 5.32} -{'loss': 0.4354, 'grad_norm': 3.059551954269409, 'learning_rate': 2.3435251798561153e-05, 'epoch': 5.32} -{'loss': 0.4199, 'grad_norm': 1.9601179361343384, 'learning_rate': 2.3426258992805754e-05, 'epoch': 5.32} -{'loss': 0.4308, 'grad_norm': 3.2763051986694336, 'learning_rate': 2.341726618705036e-05, 'epoch': 5.32} -{'loss': 0.4281, 'grad_norm': 1.1421332359313965, 'learning_rate': 2.3408273381294965e-05, 'epoch': 5.33} -{'loss': 0.4212, 'grad_norm': 2.7460954189300537, 'learning_rate': 2.339928057553957e-05, 'epoch': 5.33} -{'loss': 0.4286, 'grad_norm': 1.8184441328048706, 'learning_rate': 2.3390287769784176e-05, 'epoch': 5.33} -{'loss': 0.4246, 'grad_norm': 1.2964284420013428, 'learning_rate': 2.3381294964028776e-05, 'epoch': 5.33} - 54%|███████████████████████████████████████████████████████████████████▉ | 2980/5570 [47:22<35:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43641534447669983, 'eval_runtime': 1.5222, 'eval_samples_per_second': 473.014, 'eval_steps_per_second': 3.942, 'epoch': 5.33} -{'loss': 0.4312, 'grad_norm': 3.6013453006744385, 'learning_rate': 2.3372302158273384e-05, 'epoch': 5.33} -{'loss': 0.4373, 'grad_norm': 5.999481678009033, 'learning_rate': 2.3363309352517987e-05, 'epoch': 5.34} -{'loss': 0.4235, 'grad_norm': 2.423704147338867, 'learning_rate': 2.335431654676259e-05, 'epoch': 5.34} -{'loss': 0.4296, 'grad_norm': 2.621110677719116, 'learning_rate': 2.3345323741007195e-05, 'epoch': 5.34} -{'loss': 0.4348, 'grad_norm': 3.667999744415283, 'learning_rate': 2.33363309352518e-05, 'epoch': 5.34} -{'loss': 0.4372, 'grad_norm': 3.888169527053833, 'learning_rate': 2.3327338129496403e-05, 'epoch': 5.34} -{'loss': 0.4315, 'grad_norm': 3.6247923374176025, 'learning_rate': 2.331834532374101e-05, 'epoch': 5.34} -{'loss': 0.4309, 'grad_norm': 3.3527908325195312, 'learning_rate': 2.3309352517985614e-05, 'epoch': 5.35} -{'loss': 0.4242, 'grad_norm': 2.4393563270568848, 'learning_rate': 2.3300359712230214e-05, 'epoch': 5.35} -{'loss': 0.4411, 'grad_norm': 3.5739948749542236, 'learning_rate': 2.329136690647482e-05, 'epoch': 5.35} - 54%|████████████████████████████████████████████████████████████████████▏ | 2990/5570 [47:31<35:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4329128563404083, 'eval_runtime': 1.514, 'eval_samples_per_second': 475.552, 'eval_steps_per_second': 3.963, 'epoch': 5.35} -{'loss': 0.4265, 'grad_norm': 2.6386709213256836, 'learning_rate': 2.3282374100719425e-05, 'epoch': 5.35} -{'loss': 0.4361, 'grad_norm': 2.8317861557006836, 'learning_rate': 2.327338129496403e-05, 'epoch': 5.35} -{'loss': 0.4277, 'grad_norm': 2.2434098720550537, 'learning_rate': 2.3264388489208637e-05, 'epoch': 5.36} -{'loss': 0.4254, 'grad_norm': 2.21038818359375, 'learning_rate': 2.3255395683453237e-05, 'epoch': 5.36} -{'loss': 0.4379, 'grad_norm': 2.7069132328033447, 'learning_rate': 2.3246402877697844e-05, 'epoch': 5.36} -{'loss': 0.4246, 'grad_norm': 3.1445868015289307, 'learning_rate': 2.3237410071942448e-05, 'epoch': 5.36} -{'loss': 0.4205, 'grad_norm': 1.3572911024093628, 'learning_rate': 2.3228417266187052e-05, 'epoch': 5.36} -{'loss': 0.4178, 'grad_norm': 2.539292812347412, 'learning_rate': 2.3219424460431656e-05, 'epoch': 5.36} -{'loss': 0.4353, 'grad_norm': 3.536055326461792, 'learning_rate': 2.321043165467626e-05, 'epoch': 5.37} -{'loss': 0.4278, 'grad_norm': 3.297917604446411, 'learning_rate': 2.3201438848920864e-05, 'epoch': 5.37} - 54%|████████████████████████████████████████████████████████████████████▍ | 3000/5570 [47:41<34:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4313493072986603, 'eval_runtime': 1.5114, 'eval_samples_per_second': 476.371, 'eval_steps_per_second': 3.97, 'epoch': 5.37} -{'loss': 0.4205, 'grad_norm': 2.550278902053833, 'learning_rate': 2.319244604316547e-05, 'epoch': 5.37} -{'loss': 0.4331, 'grad_norm': 3.617598056793213, 'learning_rate': 2.3183453237410075e-05, 'epoch': 5.37} -{'loss': 0.4316, 'grad_norm': 1.8581010103225708, 'learning_rate': 2.3174460431654675e-05, 'epoch': 5.37} -{'loss': 0.4322, 'grad_norm': 2.8780455589294434, 'learning_rate': 2.3165467625899282e-05, 'epoch': 5.38} -{'loss': 0.4297, 'grad_norm': 1.478252649307251, 'learning_rate': 2.3156474820143886e-05, 'epoch': 5.38} -{'loss': 0.4409, 'grad_norm': 2.188577651977539, 'learning_rate': 2.314748201438849e-05, 'epoch': 5.38} -{'loss': 0.4279, 'grad_norm': 1.9344148635864258, 'learning_rate': 2.3138489208633094e-05, 'epoch': 5.38} -{'loss': 0.4282, 'grad_norm': 1.7662510871887207, 'learning_rate': 2.3129496402877698e-05, 'epoch': 5.38} -{'loss': 0.4259, 'grad_norm': 2.3704824447631836, 'learning_rate': 2.3120503597122305e-05, 'epoch': 5.38} -{'loss': 0.4285, 'grad_norm': 3.356271743774414, 'learning_rate': 2.311151079136691e-05, 'epoch': 5.39} - 54%|████████████████████████████████████████████████████████████████████▋ | 3010/5570 [47:50<34:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42916959524154663, 'eval_runtime': 1.5209, 'eval_samples_per_second': 473.399, 'eval_steps_per_second': 3.945, 'epoch': 5.39} -{'loss': 0.4324, 'grad_norm': 2.0374388694763184, 'learning_rate': 2.3102517985611513e-05, 'epoch': 5.39} -{'loss': 0.4256, 'grad_norm': 1.058350920677185, 'learning_rate': 2.3093525179856117e-05, 'epoch': 5.39} -{'loss': 0.4255, 'grad_norm': 1.7790255546569824, 'learning_rate': 2.308453237410072e-05, 'epoch': 5.39} -{'loss': 0.4166, 'grad_norm': 1.2184473276138306, 'learning_rate': 2.3075539568345324e-05, 'epoch': 5.39} -{'loss': 0.4342, 'grad_norm': 2.8560383319854736, 'learning_rate': 2.306654676258993e-05, 'epoch': 5.39} -{'loss': 0.4301, 'grad_norm': 2.7934930324554443, 'learning_rate': 2.3057553956834532e-05, 'epoch': 5.4} -{'loss': 0.4315, 'grad_norm': 1.7738063335418701, 'learning_rate': 2.3048561151079136e-05, 'epoch': 5.4} -{'loss': 0.4326, 'grad_norm': 3.3427529335021973, 'learning_rate': 2.3039568345323743e-05, 'epoch': 5.4} -{'loss': 0.4274, 'grad_norm': 4.109251022338867, 'learning_rate': 2.3030575539568347e-05, 'epoch': 5.4} -{'loss': 0.4292, 'grad_norm': 2.24879789352417, 'learning_rate': 2.302158273381295e-05, 'epoch': 5.4} - 54%|████████████████████████████████████████████████████████████████████▊ | 3020/5570 [48:00<34:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4291570782661438, 'eval_runtime': 1.5343, 'eval_samples_per_second': 469.264, 'eval_steps_per_second': 3.911, 'epoch': 5.4} -{'loss': 0.4282, 'grad_norm': 1.5912842750549316, 'learning_rate': 2.3012589928057555e-05, 'epoch': 5.41} -{'loss': 0.4253, 'grad_norm': 3.565885066986084, 'learning_rate': 2.300359712230216e-05, 'epoch': 5.41} -{'loss': 0.4335, 'grad_norm': 5.219621181488037, 'learning_rate': 2.2994604316546762e-05, 'epoch': 5.41} -{'loss': 0.4304, 'grad_norm': 2.5695667266845703, 'learning_rate': 2.298561151079137e-05, 'epoch': 5.41} -{'loss': 0.4241, 'grad_norm': 1.5515936613082886, 'learning_rate': 2.297661870503597e-05, 'epoch': 5.41} -{'loss': 0.4355, 'grad_norm': 2.7150800228118896, 'learning_rate': 2.2967625899280577e-05, 'epoch': 5.41} -{'loss': 0.4193, 'grad_norm': 3.510500431060791, 'learning_rate': 2.295863309352518e-05, 'epoch': 5.42} -{'loss': 0.4357, 'grad_norm': 3.186626434326172, 'learning_rate': 2.2949640287769785e-05, 'epoch': 5.42} -{'loss': 0.4255, 'grad_norm': 2.0753958225250244, 'learning_rate': 2.2940647482014392e-05, 'epoch': 5.42} -{'loss': 0.4391, 'grad_norm': 2.722468376159668, 'learning_rate': 2.2931654676258993e-05, 'epoch': 5.42} - 54%|█████████████████████████████████████████████████████████████████████ | 3030/5570 [48:09<34:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43504664301872253, 'eval_runtime': 1.5201, 'eval_samples_per_second': 473.655, 'eval_steps_per_second': 3.947, 'epoch': 5.42} -{'loss': 0.4212, 'grad_norm': 2.2532312870025635, 'learning_rate': 2.2922661870503597e-05, 'epoch': 5.42} -{'loss': 0.4351, 'grad_norm': 3.608548879623413, 'learning_rate': 2.2913669064748204e-05, 'epoch': 5.43} -{'loss': 0.4274, 'grad_norm': 3.343162775039673, 'learning_rate': 2.2904676258992808e-05, 'epoch': 5.43} -{'loss': 0.4268, 'grad_norm': 3.462095022201538, 'learning_rate': 2.289568345323741e-05, 'epoch': 5.43} -{'loss': 0.4277, 'grad_norm': 2.0263025760650635, 'learning_rate': 2.2886690647482015e-05, 'epoch': 5.43} -{'loss': 0.4261, 'grad_norm': 2.63075852394104, 'learning_rate': 2.287769784172662e-05, 'epoch': 5.43} -{'loss': 0.4237, 'grad_norm': 1.5361239910125732, 'learning_rate': 2.2868705035971223e-05, 'epoch': 5.43} -{'loss': 0.424, 'grad_norm': 1.6354689598083496, 'learning_rate': 2.285971223021583e-05, 'epoch': 5.44} -{'loss': 0.4322, 'grad_norm': 2.180497646331787, 'learning_rate': 2.285071942446043e-05, 'epoch': 5.44} -{'loss': 0.4332, 'grad_norm': 2.3645174503326416, 'learning_rate': 2.2841726618705038e-05, 'epoch': 5.44} - 55%|█████████████████████████████████████████████████████████████████████▎ | 3040/5570 [48:19<34:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42845267057418823, 'eval_runtime': 1.5353, 'eval_samples_per_second': 468.961, 'eval_steps_per_second': 3.908, 'epoch': 5.44} -{'loss': 0.4259, 'grad_norm': 1.5237443447113037, 'learning_rate': 2.2832733812949642e-05, 'epoch': 5.44} -{'loss': 0.4346, 'grad_norm': 3.225156545639038, 'learning_rate': 2.2823741007194246e-05, 'epoch': 5.44} -{'loss': 0.4268, 'grad_norm': 2.217617988586426, 'learning_rate': 2.2814748201438853e-05, 'epoch': 5.45} -{'loss': 0.4226, 'grad_norm': 2.0384225845336914, 'learning_rate': 2.2805755395683453e-05, 'epoch': 5.45} -{'loss': 0.4227, 'grad_norm': 2.0006237030029297, 'learning_rate': 2.2796762589928057e-05, 'epoch': 5.45} -{'loss': 0.4252, 'grad_norm': 2.1645195484161377, 'learning_rate': 2.2787769784172665e-05, 'epoch': 5.45} -{'loss': 0.4325, 'grad_norm': 1.974646806716919, 'learning_rate': 2.277877697841727e-05, 'epoch': 5.45} -{'loss': 0.4177, 'grad_norm': 1.90193510055542, 'learning_rate': 2.276978417266187e-05, 'epoch': 5.45} -{'loss': 0.4274, 'grad_norm': 2.975719690322876, 'learning_rate': 2.2760791366906476e-05, 'epoch': 5.46} -{'loss': 0.4276, 'grad_norm': 2.8883562088012695, 'learning_rate': 2.275179856115108e-05, 'epoch': 5.46} - 55%|█████████████████████████████████████████████████████████████████████▌ | 3050/5570 [48:29<34:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4279899597167969, 'eval_runtime': 1.5181, 'eval_samples_per_second': 474.264, 'eval_steps_per_second': 3.952, 'epoch': 5.46} -{'loss': 0.4228, 'grad_norm': 1.681748390197754, 'learning_rate': 2.2742805755395684e-05, 'epoch': 5.46} -{'loss': 0.4247, 'grad_norm': 2.138326406478882, 'learning_rate': 2.273381294964029e-05, 'epoch': 5.46} -{'loss': 0.4206, 'grad_norm': 1.5490130186080933, 'learning_rate': 2.272482014388489e-05, 'epoch': 5.46} -{'loss': 0.4263, 'grad_norm': 2.6204895973205566, 'learning_rate': 2.27158273381295e-05, 'epoch': 5.46} -{'loss': 0.4275, 'grad_norm': 2.111262559890747, 'learning_rate': 2.2706834532374103e-05, 'epoch': 5.47} -{'loss': 0.4313, 'grad_norm': 3.2312328815460205, 'learning_rate': 2.2697841726618706e-05, 'epoch': 5.47} -{'loss': 0.4294, 'grad_norm': 3.826164484024048, 'learning_rate': 2.268884892086331e-05, 'epoch': 5.47} -{'loss': 0.4241, 'grad_norm': 2.059034824371338, 'learning_rate': 2.2679856115107914e-05, 'epoch': 5.47} -{'loss': 0.4295, 'grad_norm': 3.4285969734191895, 'learning_rate': 2.2670863309352518e-05, 'epoch': 5.47} -{'loss': 0.4292, 'grad_norm': 2.4022767543792725, 'learning_rate': 2.2661870503597125e-05, 'epoch': 5.48} - 55%|█████████████████████████████████████████████████████████████████████▊ | 3060/5570 [48:38<33:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43053606152534485, 'eval_runtime': 1.5276, 'eval_samples_per_second': 471.339, 'eval_steps_per_second': 3.928, 'epoch': 5.48} -{'loss': 0.4337, 'grad_norm': 1.464751124382019, 'learning_rate': 2.265287769784173e-05, 'epoch': 5.48} -{'loss': 0.4308, 'grad_norm': 1.3006365299224854, 'learning_rate': 2.264388489208633e-05, 'epoch': 5.48} -{'loss': 0.4381, 'grad_norm': 2.5567541122436523, 'learning_rate': 2.2634892086330937e-05, 'epoch': 5.48} -{'loss': 0.4273, 'grad_norm': 1.6178879737854004, 'learning_rate': 2.262589928057554e-05, 'epoch': 5.48} -{'loss': 0.4291, 'grad_norm': 2.998169422149658, 'learning_rate': 2.2616906474820145e-05, 'epoch': 5.48} -{'loss': 0.4295, 'grad_norm': 2.8784022331237793, 'learning_rate': 2.260791366906475e-05, 'epoch': 5.49} -{'loss': 0.4261, 'grad_norm': 2.290928602218628, 'learning_rate': 2.2598920863309352e-05, 'epoch': 5.49} -{'loss': 0.4327, 'grad_norm': 1.8380513191223145, 'learning_rate': 2.258992805755396e-05, 'epoch': 5.49} -{'loss': 0.4275, 'grad_norm': 2.092837333679199, 'learning_rate': 2.2580935251798563e-05, 'epoch': 5.49} -{'loss': 0.4255, 'grad_norm': 1.5869009494781494, 'learning_rate': 2.2571942446043167e-05, 'epoch': 5.49} - 55%|█████████████████████████████████████████████████████████████████████▉ | 3070/5570 [48:48<33:44, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42930465936660767, 'eval_runtime': 1.5162, 'eval_samples_per_second': 474.866, 'eval_steps_per_second': 3.957, 'epoch': 5.49} -{'loss': 0.4294, 'grad_norm': 2.6352150440216064, 'learning_rate': 2.256294964028777e-05, 'epoch': 5.5} -{'loss': 0.4322, 'grad_norm': 2.816636323928833, 'learning_rate': 2.2553956834532375e-05, 'epoch': 5.5} -{'loss': 0.4327, 'grad_norm': 4.970287799835205, 'learning_rate': 2.254496402877698e-05, 'epoch': 5.5} -{'loss': 0.4301, 'grad_norm': 2.290168285369873, 'learning_rate': 2.2535971223021586e-05, 'epoch': 5.5} -{'loss': 0.4205, 'grad_norm': 1.8788987398147583, 'learning_rate': 2.2526978417266186e-05, 'epoch': 5.5} -{'loss': 0.4239, 'grad_norm': 1.6021941900253296, 'learning_rate': 2.251798561151079e-05, 'epoch': 5.5} -{'loss': 0.4256, 'grad_norm': 2.022346019744873, 'learning_rate': 2.2508992805755398e-05, 'epoch': 5.51} -{'loss': 0.4357, 'grad_norm': 1.5761160850524902, 'learning_rate': 2.25e-05, 'epoch': 5.51} -{'loss': 0.4214, 'grad_norm': 2.4237327575683594, 'learning_rate': 2.2491007194244605e-05, 'epoch': 5.51} -{'loss': 0.4275, 'grad_norm': 1.4599041938781738, 'learning_rate': 2.248201438848921e-05, 'epoch': 5.51} - 55%|██████████████████████████████████████████████████████████████████████▏ | 3080/5570 [48:57<34:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42885828018188477, 'eval_runtime': 1.552, 'eval_samples_per_second': 463.912, 'eval_steps_per_second': 3.866, 'epoch': 5.51} -{'loss': 0.4336, 'grad_norm': 2.717512607574463, 'learning_rate': 2.2473021582733813e-05, 'epoch': 5.51} -{'loss': 0.4291, 'grad_norm': 2.4072189331054688, 'learning_rate': 2.246402877697842e-05, 'epoch': 5.52} -{'loss': 0.4254, 'grad_norm': 2.528883457183838, 'learning_rate': 2.2455035971223024e-05, 'epoch': 5.52} -{'loss': 0.431, 'grad_norm': 4.005223274230957, 'learning_rate': 2.2446043165467625e-05, 'epoch': 5.52} -{'loss': 0.4323, 'grad_norm': 3.171175479888916, 'learning_rate': 2.2437050359712232e-05, 'epoch': 5.52} -{'loss': 0.423, 'grad_norm': 3.5150561332702637, 'learning_rate': 2.2428057553956836e-05, 'epoch': 5.52} -{'loss': 0.4307, 'grad_norm': 3.2273306846618652, 'learning_rate': 2.241906474820144e-05, 'epoch': 5.52} -{'loss': 0.4205, 'grad_norm': 1.0614817142486572, 'learning_rate': 2.2410071942446047e-05, 'epoch': 5.53} -{'loss': 0.4315, 'grad_norm': 2.719186782836914, 'learning_rate': 2.2401079136690647e-05, 'epoch': 5.53} -{'loss': 0.4332, 'grad_norm': 3.0210914611816406, 'learning_rate': 2.239208633093525e-05, 'epoch': 5.53} - 55%|██████████████████████████████████████████████████████████████████████▍ | 3090/5570 [49:07<33:26, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42953407764434814, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.783, 'eval_steps_per_second': 3.915, 'epoch': 5.53} -{'loss': 0.4293, 'grad_norm': 1.0452899932861328, 'learning_rate': 2.2383093525179858e-05, 'epoch': 5.53} -{'loss': 0.4197, 'grad_norm': 1.1959340572357178, 'learning_rate': 2.2374100719424462e-05, 'epoch': 5.53} -{'loss': 0.4258, 'grad_norm': 1.0985342264175415, 'learning_rate': 2.2365107913669066e-05, 'epoch': 5.54} -{'loss': 0.4335, 'grad_norm': 2.1876943111419678, 'learning_rate': 2.235611510791367e-05, 'epoch': 5.54} -{'loss': 0.4231, 'grad_norm': 2.2778871059417725, 'learning_rate': 2.2347122302158274e-05, 'epoch': 5.54} -{'loss': 0.4168, 'grad_norm': 1.6811801195144653, 'learning_rate': 2.2338129496402878e-05, 'epoch': 5.54} -{'loss': 0.4319, 'grad_norm': 1.8574259281158447, 'learning_rate': 2.2329136690647485e-05, 'epoch': 5.54} -{'loss': 0.4244, 'grad_norm': 1.3415555953979492, 'learning_rate': 2.2320143884892085e-05, 'epoch': 5.54} -{'loss': 0.4304, 'grad_norm': 5.333786964416504, 'learning_rate': 2.2311151079136693e-05, 'epoch': 5.55} -{'loss': 0.4321, 'grad_norm': 3.3665170669555664, 'learning_rate': 2.2302158273381296e-05, 'epoch': 5.55} - 56%|██████████████████████████████████████████████████████████████████████▋ | 3100/5570 [49:16<33:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43142157793045044, 'eval_runtime': 1.537, 'eval_samples_per_second': 468.453, 'eval_steps_per_second': 3.904, 'epoch': 5.55} -{'loss': 0.4408, 'grad_norm': 1.7445274591445923, 'learning_rate': 2.22931654676259e-05, 'epoch': 5.55} -{'loss': 0.4298, 'grad_norm': 2.6364548206329346, 'learning_rate': 2.2284172661870507e-05, 'epoch': 5.55} -{'loss': 0.4233, 'grad_norm': 2.2743208408355713, 'learning_rate': 2.2275179856115108e-05, 'epoch': 5.55} -{'loss': 0.4293, 'grad_norm': 2.597918748855591, 'learning_rate': 2.2266187050359712e-05, 'epoch': 5.55} -{'loss': 0.4359, 'grad_norm': 2.5536842346191406, 'learning_rate': 2.225719424460432e-05, 'epoch': 5.56} -{'loss': 0.4411, 'grad_norm': 2.752713441848755, 'learning_rate': 2.2248201438848923e-05, 'epoch': 5.56} -{'loss': 0.4272, 'grad_norm': 2.0657904148101807, 'learning_rate': 2.2239208633093527e-05, 'epoch': 5.56} -{'loss': 0.423, 'grad_norm': 2.105116367340088, 'learning_rate': 2.223021582733813e-05, 'epoch': 5.56} -{'loss': 0.4259, 'grad_norm': 2.730740547180176, 'learning_rate': 2.2221223021582734e-05, 'epoch': 5.56} -{'loss': 0.4289, 'grad_norm': 2.917210340499878, 'learning_rate': 2.2212230215827338e-05, 'epoch': 5.57} - 56%|██████████████████████████████████████████████████████████████████████▉ | 3110/5570 [49:26<33:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4323520362377167, 'eval_runtime': 1.5336, 'eval_samples_per_second': 469.482, 'eval_steps_per_second': 3.912, 'epoch': 5.57} -{'loss': 0.4372, 'grad_norm': 3.393251657485962, 'learning_rate': 2.2203237410071946e-05, 'epoch': 5.57} -{'loss': 0.427, 'grad_norm': 1.8656262159347534, 'learning_rate': 2.2194244604316546e-05, 'epoch': 5.57} -{'loss': 0.4253, 'grad_norm': 1.4842172861099243, 'learning_rate': 2.2185251798561153e-05, 'epoch': 5.57} -{'loss': 0.4319, 'grad_norm': 2.361820936203003, 'learning_rate': 2.2176258992805757e-05, 'epoch': 5.57} -{'loss': 0.4232, 'grad_norm': 1.8382408618927002, 'learning_rate': 2.216726618705036e-05, 'epoch': 5.57} -{'loss': 0.4283, 'grad_norm': 3.9617984294891357, 'learning_rate': 2.2158273381294965e-05, 'epoch': 5.58} -{'loss': 0.4303, 'grad_norm': 3.100869655609131, 'learning_rate': 2.214928057553957e-05, 'epoch': 5.58} -{'loss': 0.4345, 'grad_norm': 3.106703519821167, 'learning_rate': 2.2140287769784173e-05, 'epoch': 5.58} -{'loss': 0.4321, 'grad_norm': 5.5731353759765625, 'learning_rate': 2.213129496402878e-05, 'epoch': 5.58} -{'loss': 0.4326, 'grad_norm': 3.9958713054656982, 'learning_rate': 2.2122302158273384e-05, 'epoch': 5.58} - 56%|███████████████████████████████████████████████████████████████████████▏ | 3120/5570 [49:35<33:02, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43078121542930603, 'eval_runtime': 1.5204, 'eval_samples_per_second': 473.549, 'eval_steps_per_second': 3.946, 'epoch': 5.58} -{'loss': 0.4264, 'grad_norm': 2.992138624191284, 'learning_rate': 2.2113309352517984e-05, 'epoch': 5.59} -{'loss': 0.4331, 'grad_norm': 2.784641742706299, 'learning_rate': 2.210431654676259e-05, 'epoch': 5.59} -{'loss': 0.4259, 'grad_norm': 3.263092279434204, 'learning_rate': 2.2095323741007195e-05, 'epoch': 5.59} -{'loss': 0.4233, 'grad_norm': 2.570707082748413, 'learning_rate': 2.20863309352518e-05, 'epoch': 5.59} -{'loss': 0.4207, 'grad_norm': 2.6587679386138916, 'learning_rate': 2.2077338129496403e-05, 'epoch': 5.59} -{'loss': 0.4285, 'grad_norm': 3.0262112617492676, 'learning_rate': 2.2068345323741007e-05, 'epoch': 5.59} -{'loss': 0.4272, 'grad_norm': 2.066068649291992, 'learning_rate': 2.2059352517985614e-05, 'epoch': 5.6} -{'loss': 0.4202, 'grad_norm': 3.2907087802886963, 'learning_rate': 2.2050359712230218e-05, 'epoch': 5.6} -{'loss': 0.4253, 'grad_norm': 1.598949670791626, 'learning_rate': 2.2041366906474822e-05, 'epoch': 5.6} -{'loss': 0.4302, 'grad_norm': 1.5666605234146118, 'learning_rate': 2.2032374100719426e-05, 'epoch': 5.6} - 56%|███████████████████████████████████████████████████████████████████████▎ | 3130/5570 [49:45<33:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42876899242401123, 'eval_runtime': 1.5237, 'eval_samples_per_second': 472.533, 'eval_steps_per_second': 3.938, 'epoch': 5.6} -{'loss': 0.4222, 'grad_norm': 2.606802463531494, 'learning_rate': 2.202338129496403e-05, 'epoch': 5.6} -{'loss': 0.4309, 'grad_norm': 1.5677118301391602, 'learning_rate': 2.2014388489208633e-05, 'epoch': 5.61} -{'loss': 0.4203, 'grad_norm': 2.090848922729492, 'learning_rate': 2.200539568345324e-05, 'epoch': 5.61} -{'loss': 0.4298, 'grad_norm': 2.384758234024048, 'learning_rate': 2.199640287769784e-05, 'epoch': 5.61} -{'loss': 0.4242, 'grad_norm': 1.8850339651107788, 'learning_rate': 2.1987410071942445e-05, 'epoch': 5.61} -{'loss': 0.4297, 'grad_norm': 2.6391122341156006, 'learning_rate': 2.1978417266187052e-05, 'epoch': 5.61} -{'loss': 0.4345, 'grad_norm': 2.8495147228240967, 'learning_rate': 2.1969424460431656e-05, 'epoch': 5.61} -{'loss': 0.4218, 'grad_norm': 1.150905966758728, 'learning_rate': 2.196043165467626e-05, 'epoch': 5.62} -{'loss': 0.4245, 'grad_norm': 3.6955933570861816, 'learning_rate': 2.1951438848920864e-05, 'epoch': 5.62} -{'loss': 0.4282, 'grad_norm': 3.437882661819458, 'learning_rate': 2.1942446043165467e-05, 'epoch': 5.62} - 56%|███████████████████████████████████████████████████████████████████████▌ | 3140/5570 [49:54<33:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4306333661079407, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.051, 'eval_steps_per_second': 3.934, 'epoch': 5.62} -{'loss': 0.4248, 'grad_norm': 1.5914433002471924, 'learning_rate': 2.1933453237410075e-05, 'epoch': 5.62} -{'loss': 0.4252, 'grad_norm': 2.4965250492095947, 'learning_rate': 2.192446043165468e-05, 'epoch': 5.62} -{'loss': 0.4289, 'grad_norm': 3.868706226348877, 'learning_rate': 2.191546762589928e-05, 'epoch': 5.62} -{'loss': 0.4344, 'grad_norm': 2.002617120742798, 'learning_rate': 2.1906474820143886e-05, 'epoch': 5.63} -{'loss': 0.4325, 'grad_norm': 2.749234437942505, 'learning_rate': 2.189748201438849e-05, 'epoch': 5.63} -{'loss': 0.4322, 'grad_norm': 3.291081190109253, 'learning_rate': 2.1888489208633094e-05, 'epoch': 5.63} -{'loss': 0.4236, 'grad_norm': 3.2351479530334473, 'learning_rate': 2.18794964028777e-05, 'epoch': 5.63} -{'loss': 0.4319, 'grad_norm': 2.8289270401000977, 'learning_rate': 2.1870503597122302e-05, 'epoch': 5.63} -{'loss': 0.4292, 'grad_norm': 1.782002568244934, 'learning_rate': 2.1861510791366906e-05, 'epoch': 5.64} -{'loss': 0.4261, 'grad_norm': 1.1349693536758423, 'learning_rate': 2.1852517985611513e-05, 'epoch': 5.64} - 57%|███████████████████████████████████████████████████████████████████████▊ | 3150/5570 [50:04<32:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4288603961467743, 'eval_runtime': 1.5199, 'eval_samples_per_second': 473.718, 'eval_steps_per_second': 3.948, 'epoch': 5.64} -{'loss': 0.4219, 'grad_norm': 1.9444310665130615, 'learning_rate': 2.1843525179856117e-05, 'epoch': 5.64} -{'loss': 0.4296, 'grad_norm': 2.3941686153411865, 'learning_rate': 2.183453237410072e-05, 'epoch': 5.64} -{'loss': 0.4228, 'grad_norm': 0.8741927742958069, 'learning_rate': 2.1825539568345324e-05, 'epoch': 5.64} -{'loss': 0.4183, 'grad_norm': 2.3219594955444336, 'learning_rate': 2.1816546762589928e-05, 'epoch': 5.64} -{'loss': 0.4261, 'grad_norm': 1.9004424810409546, 'learning_rate': 2.1807553956834535e-05, 'epoch': 5.65} -{'loss': 0.4281, 'grad_norm': 1.8967620134353638, 'learning_rate': 2.179856115107914e-05, 'epoch': 5.65} -{'loss': 0.4247, 'grad_norm': 1.9452279806137085, 'learning_rate': 2.178956834532374e-05, 'epoch': 5.65} -{'loss': 0.4374, 'grad_norm': 1.692417025566101, 'learning_rate': 2.1780575539568347e-05, 'epoch': 5.65} -{'loss': 0.423, 'grad_norm': 2.733206272125244, 'learning_rate': 2.177158273381295e-05, 'epoch': 5.65} -{'loss': 0.4371, 'grad_norm': 3.937077522277832, 'learning_rate': 2.1762589928057555e-05, 'epoch': 5.66} - 57%|████████████████████████████████████████████████████████████████████████ | 3160/5570 [50:13<32:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4305202066898346, 'eval_runtime': 1.525, 'eval_samples_per_second': 472.141, 'eval_steps_per_second': 3.935, 'epoch': 5.66} -{'loss': 0.4372, 'grad_norm': 2.685446262359619, 'learning_rate': 2.1753597122302162e-05, 'epoch': 5.66} -{'loss': 0.4246, 'grad_norm': 3.3891289234161377, 'learning_rate': 2.1744604316546762e-05, 'epoch': 5.66} -{'loss': 0.4283, 'grad_norm': 2.372196674346924, 'learning_rate': 2.1735611510791366e-05, 'epoch': 5.66} -{'loss': 0.4373, 'grad_norm': 2.9839026927948, 'learning_rate': 2.1726618705035974e-05, 'epoch': 5.66} -{'loss': 0.4268, 'grad_norm': 3.1749465465545654, 'learning_rate': 2.1717625899280577e-05, 'epoch': 5.66} -{'loss': 0.4191, 'grad_norm': 2.951634168624878, 'learning_rate': 2.170863309352518e-05, 'epoch': 5.67} -{'loss': 0.4349, 'grad_norm': 2.3361411094665527, 'learning_rate': 2.1699640287769785e-05, 'epoch': 5.67} -{'loss': 0.4202, 'grad_norm': 1.9222763776779175, 'learning_rate': 2.169064748201439e-05, 'epoch': 5.67} -{'loss': 0.4319, 'grad_norm': 4.445227146148682, 'learning_rate': 2.1681654676258993e-05, 'epoch': 5.67} -{'loss': 0.4221, 'grad_norm': 2.7378432750701904, 'learning_rate': 2.16726618705036e-05, 'epoch': 5.67} - 57%|████████████████████████████████████████████████████████████████████████▎ | 3170/5570 [50:23<33:04, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4291027784347534, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.893, 'eval_steps_per_second': 3.916, 'epoch': 5.67} -{'loss': 0.4354, 'grad_norm': 2.324669122695923, 'learning_rate': 2.16636690647482e-05, 'epoch': 5.68} -{'loss': 0.4338, 'grad_norm': 5.8273844718933105, 'learning_rate': 2.1654676258992808e-05, 'epoch': 5.68} -{'loss': 0.4331, 'grad_norm': 5.532525062561035, 'learning_rate': 2.164568345323741e-05, 'epoch': 5.68} -{'loss': 0.4227, 'grad_norm': 4.016679763793945, 'learning_rate': 2.1636690647482015e-05, 'epoch': 5.68} -{'loss': 0.4243, 'grad_norm': 1.8541734218597412, 'learning_rate': 2.162769784172662e-05, 'epoch': 5.68} -{'loss': 0.4328, 'grad_norm': 3.140092372894287, 'learning_rate': 2.1618705035971223e-05, 'epoch': 5.68} -{'loss': 0.4373, 'grad_norm': 4.894736289978027, 'learning_rate': 2.1609712230215827e-05, 'epoch': 5.69} -{'loss': 0.4325, 'grad_norm': 2.626789093017578, 'learning_rate': 2.1600719424460434e-05, 'epoch': 5.69} -{'loss': 0.4311, 'grad_norm': 2.4553756713867188, 'learning_rate': 2.1591726618705038e-05, 'epoch': 5.69} -{'loss': 0.4254, 'grad_norm': 3.3088066577911377, 'learning_rate': 2.1582733812949642e-05, 'epoch': 5.69} - 57%|████████████████████████████████████████████████████████████████████████▌ | 3180/5570 [50:33<32:13, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43127724528312683, 'eval_runtime': 1.5791, 'eval_samples_per_second': 455.965, 'eval_steps_per_second': 3.8, 'epoch': 5.69} -{'loss': 0.4376, 'grad_norm': 3.164724588394165, 'learning_rate': 2.1573741007194246e-05, 'epoch': 5.69} -{'loss': 0.4234, 'grad_norm': 2.322521924972534, 'learning_rate': 2.156474820143885e-05, 'epoch': 5.69} -{'loss': 0.4193, 'grad_norm': 3.6737372875213623, 'learning_rate': 2.1555755395683454e-05, 'epoch': 5.7} -{'loss': 0.4232, 'grad_norm': 2.4687068462371826, 'learning_rate': 2.1546762589928057e-05, 'epoch': 5.7} -{'loss': 0.42, 'grad_norm': 1.813917875289917, 'learning_rate': 2.153776978417266e-05, 'epoch': 5.7} -{'loss': 0.4212, 'grad_norm': 2.1805803775787354, 'learning_rate': 2.152877697841727e-05, 'epoch': 5.7} -{'loss': 0.4305, 'grad_norm': 2.808443546295166, 'learning_rate': 2.1519784172661872e-05, 'epoch': 5.7} -{'loss': 0.428, 'grad_norm': 2.3072962760925293, 'learning_rate': 2.1510791366906476e-05, 'epoch': 5.71} -{'loss': 0.4312, 'grad_norm': 3.3657076358795166, 'learning_rate': 2.150179856115108e-05, 'epoch': 5.71} -{'loss': 0.4288, 'grad_norm': 1.6369752883911133, 'learning_rate': 2.1492805755395684e-05, 'epoch': 5.71} - 57%|████████████████████████████████████████████████████████████████████████▋ | 3190/5570 [50:42<32:28, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4281143248081207, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.028, 'eval_steps_per_second': 3.925, 'epoch': 5.71} -{'loss': 0.4267, 'grad_norm': 1.9630142450332642, 'learning_rate': 2.1483812949640288e-05, 'epoch': 5.71} -{'loss': 0.4379, 'grad_norm': 2.601375102996826, 'learning_rate': 2.1474820143884895e-05, 'epoch': 5.71} -{'loss': 0.4223, 'grad_norm': 3.2970151901245117, 'learning_rate': 2.1465827338129495e-05, 'epoch': 5.71} -{'loss': 0.4309, 'grad_norm': 2.9975132942199707, 'learning_rate': 2.14568345323741e-05, 'epoch': 5.72} -{'loss': 0.4268, 'grad_norm': 1.2327244281768799, 'learning_rate': 2.1447841726618707e-05, 'epoch': 5.72} -{'loss': 0.4314, 'grad_norm': 2.759173631668091, 'learning_rate': 2.143884892086331e-05, 'epoch': 5.72} -{'loss': 0.4305, 'grad_norm': 2.8601086139678955, 'learning_rate': 2.1429856115107914e-05, 'epoch': 5.72} -{'loss': 0.4208, 'grad_norm': 2.898254156112671, 'learning_rate': 2.1420863309352518e-05, 'epoch': 5.72} -{'loss': 0.4257, 'grad_norm': 1.9388160705566406, 'learning_rate': 2.1411870503597122e-05, 'epoch': 5.73} -{'loss': 0.433, 'grad_norm': 2.538296699523926, 'learning_rate': 2.140287769784173e-05, 'epoch': 5.73} - 57%|████████████████████████████████████████████████████████████████████████▉ | 3200/5570 [50:52<32:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4314901530742645, 'eval_runtime': 1.518, 'eval_samples_per_second': 474.311, 'eval_steps_per_second': 3.953, 'epoch': 5.73} -{'loss': 0.43, 'grad_norm': 3.282289743423462, 'learning_rate': 2.1393884892086333e-05, 'epoch': 5.73} -{'loss': 0.4363, 'grad_norm': 2.967095136642456, 'learning_rate': 2.1384892086330937e-05, 'epoch': 5.73} -{'loss': 0.4241, 'grad_norm': 2.3690969944000244, 'learning_rate': 2.137589928057554e-05, 'epoch': 5.73} -{'loss': 0.423, 'grad_norm': 2.160325765609741, 'learning_rate': 2.1366906474820145e-05, 'epoch': 5.73} -{'loss': 0.4263, 'grad_norm': 1.9859936237335205, 'learning_rate': 2.135791366906475e-05, 'epoch': 5.74} -{'loss': 0.4242, 'grad_norm': 2.8287932872772217, 'learning_rate': 2.1348920863309356e-05, 'epoch': 5.74} -{'loss': 0.4213, 'grad_norm': 2.187541961669922, 'learning_rate': 2.1339928057553956e-05, 'epoch': 5.74} -{'loss': 0.4244, 'grad_norm': 1.9814518690109253, 'learning_rate': 2.133093525179856e-05, 'epoch': 5.74} -{'loss': 0.4129, 'grad_norm': 2.1866025924682617, 'learning_rate': 2.1321942446043167e-05, 'epoch': 5.74} -{'loss': 0.4215, 'grad_norm': 2.82753586769104, 'learning_rate': 2.131294964028777e-05, 'epoch': 5.75} - 58%|█████████████████████████████████████████████████████████████████████████▏ | 3210/5570 [51:01<32:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42840576171875, 'eval_runtime': 1.5271, 'eval_samples_per_second': 471.487, 'eval_steps_per_second': 3.929, 'epoch': 5.75} -{'loss': 0.4294, 'grad_norm': 2.502901315689087, 'learning_rate': 2.1303956834532375e-05, 'epoch': 5.75} -{'loss': 0.4217, 'grad_norm': 0.97913658618927, 'learning_rate': 2.129496402877698e-05, 'epoch': 5.75} -{'loss': 0.4312, 'grad_norm': 1.2283802032470703, 'learning_rate': 2.1285971223021583e-05, 'epoch': 5.75} -{'loss': 0.4271, 'grad_norm': 2.4088103771209717, 'learning_rate': 2.127697841726619e-05, 'epoch': 5.75} -{'loss': 0.4185, 'grad_norm': 1.1457607746124268, 'learning_rate': 2.1267985611510794e-05, 'epoch': 5.75} -{'loss': 0.4276, 'grad_norm': 1.5548397302627563, 'learning_rate': 2.1258992805755394e-05, 'epoch': 5.76} -{'loss': 0.4234, 'grad_norm': 2.181735038757324, 'learning_rate': 2.125e-05, 'epoch': 5.76} -{'loss': 0.4236, 'grad_norm': 2.064450740814209, 'learning_rate': 2.1241007194244605e-05, 'epoch': 5.76} -{'loss': 0.4252, 'grad_norm': 2.2012743949890137, 'learning_rate': 2.123201438848921e-05, 'epoch': 5.76} -{'loss': 0.4322, 'grad_norm': 4.877938747406006, 'learning_rate': 2.1223021582733816e-05, 'epoch': 5.76} - 58%|█████████████████████████████████████████████████████████████████████████▍ | 3220/5570 [51:11<31:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4289323091506958, 'eval_runtime': 1.5097, 'eval_samples_per_second': 476.906, 'eval_steps_per_second': 3.974, 'epoch': 5.76} -{'loss': 0.4217, 'grad_norm': 1.5789874792099, 'learning_rate': 2.1214028776978417e-05, 'epoch': 5.76} -{'loss': 0.4224, 'grad_norm': 2.1267435550689697, 'learning_rate': 2.120503597122302e-05, 'epoch': 5.77} -{'loss': 0.4226, 'grad_norm': 1.5077235698699951, 'learning_rate': 2.1196043165467628e-05, 'epoch': 5.77} -{'loss': 0.4247, 'grad_norm': 2.0001723766326904, 'learning_rate': 2.1187050359712232e-05, 'epoch': 5.77} -{'loss': 0.4197, 'grad_norm': 3.1773979663848877, 'learning_rate': 2.1178057553956836e-05, 'epoch': 5.77} -{'loss': 0.4225, 'grad_norm': 1.4900233745574951, 'learning_rate': 2.116906474820144e-05, 'epoch': 5.77} -{'loss': 0.4241, 'grad_norm': 1.6547737121582031, 'learning_rate': 2.1160071942446043e-05, 'epoch': 5.78} -{'loss': 0.4213, 'grad_norm': 3.0920135974884033, 'learning_rate': 2.115107913669065e-05, 'epoch': 5.78} -{'loss': 0.4274, 'grad_norm': 3.167992115020752, 'learning_rate': 2.1142086330935255e-05, 'epoch': 5.78} -{'loss': 0.4294, 'grad_norm': 2.434577465057373, 'learning_rate': 2.1133093525179855e-05, 'epoch': 5.78} - 58%|█████████████████████████████████████████████████████████████████████████▋ | 3230/5570 [51:20<31:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42980533838272095, 'eval_runtime': 1.5206, 'eval_samples_per_second': 473.489, 'eval_steps_per_second': 3.946, 'epoch': 5.78} -{'loss': 0.4296, 'grad_norm': 2.046448230743408, 'learning_rate': 2.1124100719424462e-05, 'epoch': 5.78} -{'loss': 0.4266, 'grad_norm': 2.6134705543518066, 'learning_rate': 2.1115107913669066e-05, 'epoch': 5.78} -{'loss': 0.4286, 'grad_norm': 3.192125082015991, 'learning_rate': 2.110611510791367e-05, 'epoch': 5.79} -{'loss': 0.4223, 'grad_norm': 1.7166157960891724, 'learning_rate': 2.1097122302158274e-05, 'epoch': 5.79} -{'loss': 0.424, 'grad_norm': 1.3395634889602661, 'learning_rate': 2.1088129496402878e-05, 'epoch': 5.79} -{'loss': 0.4283, 'grad_norm': 1.4899295568466187, 'learning_rate': 2.107913669064748e-05, 'epoch': 5.79} -{'loss': 0.4193, 'grad_norm': 0.7392511367797852, 'learning_rate': 2.107014388489209e-05, 'epoch': 5.79} -{'loss': 0.414, 'grad_norm': 2.501206874847412, 'learning_rate': 2.1061151079136693e-05, 'epoch': 5.8} -{'loss': 0.4251, 'grad_norm': 1.684705138206482, 'learning_rate': 2.1052158273381296e-05, 'epoch': 5.8} -{'loss': 0.4282, 'grad_norm': 1.5866453647613525, 'learning_rate': 2.10431654676259e-05, 'epoch': 5.8} - 58%|█████████████████████████████████████████████████████████████████████████▊ | 3240/5570 [51:30<31:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4289199113845825, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.35, 'eval_steps_per_second': 3.903, 'epoch': 5.8} -{'loss': 0.4289, 'grad_norm': 2.2402279376983643, 'learning_rate': 2.1034172661870504e-05, 'epoch': 5.8} -{'loss': 0.4295, 'grad_norm': 1.3839268684387207, 'learning_rate': 2.102517985611511e-05, 'epoch': 5.8} -{'loss': 0.423, 'grad_norm': 1.6959935426712036, 'learning_rate': 2.1016187050359712e-05, 'epoch': 5.8} -{'loss': 0.4271, 'grad_norm': 1.4289190769195557, 'learning_rate': 2.1007194244604316e-05, 'epoch': 5.81} -{'loss': 0.4283, 'grad_norm': 1.4921339750289917, 'learning_rate': 2.0998201438848923e-05, 'epoch': 5.81} -{'loss': 0.4327, 'grad_norm': 2.182239532470703, 'learning_rate': 2.0989208633093527e-05, 'epoch': 5.81} -{'loss': 0.4232, 'grad_norm': 1.0282000303268433, 'learning_rate': 2.098021582733813e-05, 'epoch': 5.81} -{'loss': 0.4308, 'grad_norm': 4.88845157623291, 'learning_rate': 2.0971223021582735e-05, 'epoch': 5.81} -{'loss': 0.437, 'grad_norm': 3.1656570434570312, 'learning_rate': 2.096223021582734e-05, 'epoch': 5.82} -{'loss': 0.4228, 'grad_norm': 2.021533250808716, 'learning_rate': 2.0953237410071942e-05, 'epoch': 5.82} - 58%|██████████████████████████████████████████████████████████████████████████ | 3250/5570 [51:39<31:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4341468811035156, 'eval_runtime': 1.5133, 'eval_samples_per_second': 475.783, 'eval_steps_per_second': 3.965, 'epoch': 5.82} -{'loss': 0.4377, 'grad_norm': 4.616441249847412, 'learning_rate': 2.094424460431655e-05, 'epoch': 5.82} -{'loss': 0.4295, 'grad_norm': 5.366026878356934, 'learning_rate': 2.093525179856115e-05, 'epoch': 5.82} -{'loss': 0.4281, 'grad_norm': 1.435051441192627, 'learning_rate': 2.0926258992805757e-05, 'epoch': 5.82} -{'loss': 0.4171, 'grad_norm': 1.4980278015136719, 'learning_rate': 2.091726618705036e-05, 'epoch': 5.82} -{'loss': 0.4331, 'grad_norm': 2.5295944213867188, 'learning_rate': 2.0908273381294965e-05, 'epoch': 5.83} -{'loss': 0.4277, 'grad_norm': 2.404291868209839, 'learning_rate': 2.089928057553957e-05, 'epoch': 5.83} -{'loss': 0.427, 'grad_norm': 2.790619373321533, 'learning_rate': 2.0890287769784173e-05, 'epoch': 5.83} -{'loss': 0.4349, 'grad_norm': 2.350343704223633, 'learning_rate': 2.0881294964028776e-05, 'epoch': 5.83} -{'loss': 0.4271, 'grad_norm': 3.0127487182617188, 'learning_rate': 2.0872302158273384e-05, 'epoch': 5.83} -{'loss': 0.4392, 'grad_norm': 3.8636908531188965, 'learning_rate': 2.0863309352517988e-05, 'epoch': 5.83} - 59%|██████████████████████████████████████████████████████████████████████████▎ | 3260/5570 [51:49<31:14, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4317666292190552, 'eval_runtime': 1.5271, 'eval_samples_per_second': 471.49, 'eval_steps_per_second': 3.929, 'epoch': 5.83} -{'loss': 0.4268, 'grad_norm': 2.6127405166625977, 'learning_rate': 2.085431654676259e-05, 'epoch': 5.84} -{'loss': 0.4306, 'grad_norm': 2.0785915851593018, 'learning_rate': 2.0845323741007195e-05, 'epoch': 5.84} -{'loss': 0.4265, 'grad_norm': 2.4138801097869873, 'learning_rate': 2.08363309352518e-05, 'epoch': 5.84} -{'loss': 0.4185, 'grad_norm': 2.217258930206299, 'learning_rate': 2.0827338129496403e-05, 'epoch': 5.84} -{'loss': 0.4243, 'grad_norm': 2.397634744644165, 'learning_rate': 2.081834532374101e-05, 'epoch': 5.84} -{'loss': 0.4359, 'grad_norm': 3.3445096015930176, 'learning_rate': 2.080935251798561e-05, 'epoch': 5.85} -{'loss': 0.4239, 'grad_norm': 1.9327670335769653, 'learning_rate': 2.0800359712230218e-05, 'epoch': 5.85} -{'loss': 0.4233, 'grad_norm': 1.5969581604003906, 'learning_rate': 2.0791366906474822e-05, 'epoch': 5.85} -{'loss': 0.4193, 'grad_norm': 3.1832571029663086, 'learning_rate': 2.0782374100719426e-05, 'epoch': 5.85} -{'loss': 0.4283, 'grad_norm': 3.1926538944244385, 'learning_rate': 2.077338129496403e-05, 'epoch': 5.85} - 59%|██████████████████████████████████████████████████████████████████████████▌ | 3270/5570 [51:59<31:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4276431202888489, 'eval_runtime': 1.5158, 'eval_samples_per_second': 474.996, 'eval_steps_per_second': 3.958, 'epoch': 5.85} -{'loss': 0.4269, 'grad_norm': 1.7143559455871582, 'learning_rate': 2.0764388489208633e-05, 'epoch': 5.85} -{'loss': 0.43, 'grad_norm': 4.218603610992432, 'learning_rate': 2.0755395683453237e-05, 'epoch': 5.86} -{'loss': 0.4318, 'grad_norm': 3.4390928745269775, 'learning_rate': 2.0746402877697844e-05, 'epoch': 5.86} -{'loss': 0.4326, 'grad_norm': 1.9706480503082275, 'learning_rate': 2.073741007194245e-05, 'epoch': 5.86} -{'loss': 0.4217, 'grad_norm': 1.2412151098251343, 'learning_rate': 2.072841726618705e-05, 'epoch': 5.86} -{'loss': 0.4274, 'grad_norm': 2.4367761611938477, 'learning_rate': 2.0719424460431656e-05, 'epoch': 5.86} -{'loss': 0.428, 'grad_norm': 2.5938525199890137, 'learning_rate': 2.071043165467626e-05, 'epoch': 5.87} -{'loss': 0.4261, 'grad_norm': 2.347520112991333, 'learning_rate': 2.0701438848920864e-05, 'epoch': 5.87} -{'loss': 0.4223, 'grad_norm': 2.1853668689727783, 'learning_rate': 2.069244604316547e-05, 'epoch': 5.87} -{'loss': 0.4367, 'grad_norm': 2.936370849609375, 'learning_rate': 2.068345323741007e-05, 'epoch': 5.87} - 59%|██████████████████████████████████████████████████████████████████████████▊ | 3280/5570 [52:08<31:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42726588249206543, 'eval_runtime': 1.5287, 'eval_samples_per_second': 470.977, 'eval_steps_per_second': 3.925, 'epoch': 5.87} -{'loss': 0.4193, 'grad_norm': 1.7465031147003174, 'learning_rate': 2.0674460431654675e-05, 'epoch': 5.87} -{'loss': 0.413, 'grad_norm': 1.7322629690170288, 'learning_rate': 2.0665467625899283e-05, 'epoch': 5.87} -{'loss': 0.4229, 'grad_norm': 2.25907301902771, 'learning_rate': 2.0656474820143886e-05, 'epoch': 5.88} -{'loss': 0.4205, 'grad_norm': 1.5156726837158203, 'learning_rate': 2.064748201438849e-05, 'epoch': 5.88} -{'loss': 0.4319, 'grad_norm': 4.3016486167907715, 'learning_rate': 2.0638489208633094e-05, 'epoch': 5.88} -{'loss': 0.4233, 'grad_norm': 3.7139201164245605, 'learning_rate': 2.0629496402877698e-05, 'epoch': 5.88} -{'loss': 0.43, 'grad_norm': 3.3259904384613037, 'learning_rate': 2.0620503597122305e-05, 'epoch': 5.88} -{'loss': 0.4389, 'grad_norm': 4.013953685760498, 'learning_rate': 2.061151079136691e-05, 'epoch': 5.89} -{'loss': 0.4248, 'grad_norm': 4.609227657318115, 'learning_rate': 2.060251798561151e-05, 'epoch': 5.89} -{'loss': 0.4222, 'grad_norm': 3.0771660804748535, 'learning_rate': 2.0593525179856117e-05, 'epoch': 5.89} - 59%|███████████████████████████████████████████████████████████████████████████ | 3290/5570 [52:18<30:46, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42810186743736267, 'eval_runtime': 1.5392, 'eval_samples_per_second': 467.789, 'eval_steps_per_second': 3.898, 'epoch': 5.89} -{'loss': 0.4258, 'grad_norm': 1.5574699640274048, 'learning_rate': 2.058453237410072e-05, 'epoch': 5.89} -{'loss': 0.4344, 'grad_norm': 2.803395986557007, 'learning_rate': 2.0575539568345324e-05, 'epoch': 5.89} -{'loss': 0.4286, 'grad_norm': 3.256789445877075, 'learning_rate': 2.056654676258993e-05, 'epoch': 5.89} -{'loss': 0.4235, 'grad_norm': 2.8244247436523438, 'learning_rate': 2.0557553956834532e-05, 'epoch': 5.9} -{'loss': 0.4157, 'grad_norm': 1.9718410968780518, 'learning_rate': 2.0548561151079136e-05, 'epoch': 5.9} -{'loss': 0.4269, 'grad_norm': 1.786138892173767, 'learning_rate': 2.0539568345323743e-05, 'epoch': 5.9} -{'loss': 0.43, 'grad_norm': 2.956310749053955, 'learning_rate': 2.0530575539568347e-05, 'epoch': 5.9} -{'loss': 0.4289, 'grad_norm': 3.1736409664154053, 'learning_rate': 2.052158273381295e-05, 'epoch': 5.9} -{'loss': 0.4218, 'grad_norm': 2.0695083141326904, 'learning_rate': 2.0512589928057555e-05, 'epoch': 5.9} -{'loss': 0.4174, 'grad_norm': 1.6086500883102417, 'learning_rate': 2.050359712230216e-05, 'epoch': 5.91} - 59%|███████████████████████████████████████████████████████████████████████████▏ | 3300/5570 [52:27<30:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4269334673881531, 'eval_runtime': 1.5482, 'eval_samples_per_second': 465.069, 'eval_steps_per_second': 3.876, 'epoch': 5.91} -{'loss': 0.4226, 'grad_norm': 2.1374759674072266, 'learning_rate': 2.0494604316546766e-05, 'epoch': 5.91} -{'loss': 0.422, 'grad_norm': 1.4249703884124756, 'learning_rate': 2.0485611510791366e-05, 'epoch': 5.91} -{'loss': 0.4294, 'grad_norm': 1.2811068296432495, 'learning_rate': 2.047661870503597e-05, 'epoch': 5.91} -{'loss': 0.417, 'grad_norm': 3.1555027961730957, 'learning_rate': 2.0467625899280578e-05, 'epoch': 5.91} -{'loss': 0.4185, 'grad_norm': 3.1991374492645264, 'learning_rate': 2.045863309352518e-05, 'epoch': 5.92} -{'loss': 0.4305, 'grad_norm': 2.245558023452759, 'learning_rate': 2.0449640287769785e-05, 'epoch': 5.92} -{'loss': 0.4219, 'grad_norm': 2.3987081050872803, 'learning_rate': 2.044064748201439e-05, 'epoch': 5.92} -{'loss': 0.4279, 'grad_norm': 3.5985119342803955, 'learning_rate': 2.0431654676258993e-05, 'epoch': 5.92} -{'loss': 0.4304, 'grad_norm': 1.7754626274108887, 'learning_rate': 2.0422661870503597e-05, 'epoch': 5.92} -{'loss': 0.4243, 'grad_norm': 2.384564161300659, 'learning_rate': 2.0413669064748204e-05, 'epoch': 5.92} - 59%|███████████████████████████████████████████████████████████████████████████▍ | 3310/5570 [52:37<30:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4296830892562866, 'eval_runtime': 1.5448, 'eval_samples_per_second': 466.086, 'eval_steps_per_second': 3.884, 'epoch': 5.92} -{'loss': 0.4267, 'grad_norm': 2.0945863723754883, 'learning_rate': 2.0404676258992808e-05, 'epoch': 5.93} -{'loss': 0.4191, 'grad_norm': 1.5292764902114868, 'learning_rate': 2.0395683453237412e-05, 'epoch': 5.93} -{'loss': 0.417, 'grad_norm': 1.8128275871276855, 'learning_rate': 2.0386690647482016e-05, 'epoch': 5.93} -{'loss': 0.4305, 'grad_norm': 2.457740545272827, 'learning_rate': 2.037769784172662e-05, 'epoch': 5.93} -{'loss': 0.4317, 'grad_norm': 3.2042644023895264, 'learning_rate': 2.0368705035971227e-05, 'epoch': 5.93} -{'loss': 0.4239, 'grad_norm': 1.5732711553573608, 'learning_rate': 2.0359712230215827e-05, 'epoch': 5.94} -{'loss': 0.4336, 'grad_norm': 2.6391541957855225, 'learning_rate': 2.035071942446043e-05, 'epoch': 5.94} -{'loss': 0.4194, 'grad_norm': 2.5445311069488525, 'learning_rate': 2.0341726618705038e-05, 'epoch': 5.94} -{'loss': 0.4239, 'grad_norm': 1.5701932907104492, 'learning_rate': 2.0332733812949642e-05, 'epoch': 5.94} -{'loss': 0.4342, 'grad_norm': 1.4617233276367188, 'learning_rate': 2.0323741007194246e-05, 'epoch': 5.94} - 60%|███████████████████████████████████████████████████████████████████████████▋ | 3320/5570 [52:46<30:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4301624596118927, 'eval_runtime': 1.5534, 'eval_samples_per_second': 463.501, 'eval_steps_per_second': 3.863, 'epoch': 5.94} -{'loss': 0.4376, 'grad_norm': 3.46394681930542, 'learning_rate': 2.031474820143885e-05, 'epoch': 5.94} -{'loss': 0.4237, 'grad_norm': 2.934527635574341, 'learning_rate': 2.0305755395683454e-05, 'epoch': 5.95} -{'loss': 0.4198, 'grad_norm': 0.917730987071991, 'learning_rate': 2.0296762589928058e-05, 'epoch': 5.95} -{'loss': 0.4252, 'grad_norm': 1.3547158241271973, 'learning_rate': 2.0287769784172665e-05, 'epoch': 5.95} -{'loss': 0.4264, 'grad_norm': 2.035707712173462, 'learning_rate': 2.0278776978417265e-05, 'epoch': 5.95} -{'loss': 0.4181, 'grad_norm': 1.3542004823684692, 'learning_rate': 2.0269784172661872e-05, 'epoch': 5.95} -{'loss': 0.4165, 'grad_norm': 1.089482069015503, 'learning_rate': 2.0260791366906476e-05, 'epoch': 5.96} -{'loss': 0.4254, 'grad_norm': 2.6006388664245605, 'learning_rate': 2.025179856115108e-05, 'epoch': 5.96} -{'loss': 0.4181, 'grad_norm': 0.859428346157074, 'learning_rate': 2.0242805755395684e-05, 'epoch': 5.96} -{'loss': 0.4261, 'grad_norm': 1.4691941738128662, 'learning_rate': 2.0233812949640288e-05, 'epoch': 5.96} - 60%|███████████████████████████████████████████████████████████████████████████▉ | 3330/5570 [52:56<30:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4274722933769226, 'eval_runtime': 1.5494, 'eval_samples_per_second': 464.694, 'eval_steps_per_second': 3.872, 'epoch': 5.96} -{'loss': 0.4234, 'grad_norm': 2.120201587677002, 'learning_rate': 2.0224820143884892e-05, 'epoch': 5.96} -{'loss': 0.4268, 'grad_norm': 1.3021234273910522, 'learning_rate': 2.02158273381295e-05, 'epoch': 5.96} -{'loss': 0.4285, 'grad_norm': 1.339931607246399, 'learning_rate': 2.0206834532374103e-05, 'epoch': 5.97} -{'loss': 0.423, 'grad_norm': 3.4635350704193115, 'learning_rate': 2.0197841726618703e-05, 'epoch': 5.97} -{'loss': 0.4241, 'grad_norm': 2.366049289703369, 'learning_rate': 2.018884892086331e-05, 'epoch': 5.97} -{'loss': 0.4284, 'grad_norm': 2.157320499420166, 'learning_rate': 2.0179856115107914e-05, 'epoch': 5.97} -{'loss': 0.4319, 'grad_norm': 2.396833896636963, 'learning_rate': 2.0170863309352518e-05, 'epoch': 5.97} -{'loss': 0.4272, 'grad_norm': 2.3813958168029785, 'learning_rate': 2.0161870503597125e-05, 'epoch': 5.97} -{'loss': 0.4171, 'grad_norm': 1.5923984050750732, 'learning_rate': 2.0152877697841726e-05, 'epoch': 5.98} -{'loss': 0.4275, 'grad_norm': 2.107797384262085, 'learning_rate': 2.0143884892086333e-05, 'epoch': 5.98} - 60%|████████████████████████████████████████████████████████████████████████████▏ | 3340/5570 [53:05<30:09, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42854931950569153, 'eval_runtime': 1.5124, 'eval_samples_per_second': 476.076, 'eval_steps_per_second': 3.967, 'epoch': 5.98} -{'loss': 0.4369, 'grad_norm': 2.682140827178955, 'learning_rate': 2.0134892086330937e-05, 'epoch': 5.98} -{'loss': 0.4283, 'grad_norm': 1.018555998802185, 'learning_rate': 2.012589928057554e-05, 'epoch': 5.98} -{'loss': 0.4211, 'grad_norm': 1.7061325311660767, 'learning_rate': 2.0116906474820145e-05, 'epoch': 5.98} -{'loss': 0.4272, 'grad_norm': 1.944336175918579, 'learning_rate': 2.010791366906475e-05, 'epoch': 5.99} -{'loss': 0.4167, 'grad_norm': 1.5297974348068237, 'learning_rate': 2.0098920863309352e-05, 'epoch': 5.99} -{'loss': 0.4259, 'grad_norm': 1.0987976789474487, 'learning_rate': 2.008992805755396e-05, 'epoch': 5.99} -{'loss': 0.423, 'grad_norm': 1.1364657878875732, 'learning_rate': 2.0080935251798564e-05, 'epoch': 5.99} -{'loss': 0.4317, 'grad_norm': 2.744539737701416, 'learning_rate': 2.0071942446043164e-05, 'epoch': 5.99} -{'loss': 0.4383, 'grad_norm': 2.7936789989471436, 'learning_rate': 2.006294964028777e-05, 'epoch': 5.99} -{'loss': 0.4212, 'grad_norm': 2.705467700958252, 'learning_rate': 2.0053956834532375e-05, 'epoch': 6.0} - 60%|████████████████████████████████████████████████████████████████████████████▍ | 3350/5570 [53:14<29:40, 1.25it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4309771955013275, 'eval_runtime': 1.5203, 'eval_samples_per_second': 473.59, 'eval_steps_per_second': 3.947, 'epoch': 6.0} -{'loss': 0.4303, 'grad_norm': 1.453054666519165, 'learning_rate': 2.004496402877698e-05, 'epoch': 6.0} -{'loss': 0.4371, 'grad_norm': 5.620583534240723, 'learning_rate': 2.0035971223021583e-05, 'epoch': 6.0} -{'loss': 0.4296, 'grad_norm': 2.460980176925659, 'learning_rate': 2.0026978417266187e-05, 'epoch': 6.0} -{'loss': 0.4259, 'grad_norm': 3.560184955596924, 'learning_rate': 2.001798561151079e-05, 'epoch': 6.0} -{'loss': 0.428, 'grad_norm': 2.2645719051361084, 'learning_rate': 2.0008992805755398e-05, 'epoch': 6.01} -{'loss': 0.4181, 'grad_norm': 1.7418709993362427, 'learning_rate': 2e-05, 'epoch': 6.01} -{'loss': 0.4234, 'grad_norm': 1.5780507326126099, 'learning_rate': 1.9991007194244605e-05, 'epoch': 6.01} -{'loss': 0.4249, 'grad_norm': 1.0077484846115112, 'learning_rate': 1.998201438848921e-05, 'epoch': 6.01} -{'loss': 0.4193, 'grad_norm': 2.746074676513672, 'learning_rate': 1.9973021582733813e-05, 'epoch': 6.01} -{'loss': 0.4138, 'grad_norm': 2.6845316886901855, 'learning_rate': 1.996402877697842e-05, 'epoch': 6.01} - 60%|████████████████████████████████████████████████████████████████████████████▌ | 3360/5570 [53:24<29:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4284335672855377, 'eval_runtime': 1.5282, 'eval_samples_per_second': 471.155, 'eval_steps_per_second': 3.926, 'epoch': 6.01} -{'loss': 0.4185, 'grad_norm': 2.054882049560547, 'learning_rate': 1.995503597122302e-05, 'epoch': 6.02} -{'loss': 0.4198, 'grad_norm': 1.6717004776000977, 'learning_rate': 1.9946043165467625e-05, 'epoch': 6.02} -{'loss': 0.4287, 'grad_norm': 2.643862009048462, 'learning_rate': 1.9937050359712232e-05, 'epoch': 6.02} -{'loss': 0.4108, 'grad_norm': 1.2658475637435913, 'learning_rate': 1.9928057553956836e-05, 'epoch': 6.02} -{'loss': 0.4212, 'grad_norm': 4.60748291015625, 'learning_rate': 1.991906474820144e-05, 'epoch': 6.02} -{'loss': 0.4305, 'grad_norm': 2.866457939147949, 'learning_rate': 1.9910071942446044e-05, 'epoch': 6.03} -{'loss': 0.4411, 'grad_norm': 3.77846360206604, 'learning_rate': 1.9901079136690647e-05, 'epoch': 6.03} -{'loss': 0.4186, 'grad_norm': 2.3038997650146484, 'learning_rate': 1.989208633093525e-05, 'epoch': 6.03} -{'loss': 0.4294, 'grad_norm': 3.5666918754577637, 'learning_rate': 1.988309352517986e-05, 'epoch': 6.03} -{'loss': 0.4221, 'grad_norm': 3.1368746757507324, 'learning_rate': 1.9874100719424462e-05, 'epoch': 6.03} - 61%|████████████████████████████████████████████████████████████████████████████▊ | 3370/5570 [53:33<29:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4333386719226837, 'eval_runtime': 1.5129, 'eval_samples_per_second': 475.923, 'eval_steps_per_second': 3.966, 'epoch': 6.03} -{'loss': 0.4339, 'grad_norm': 3.578676700592041, 'learning_rate': 1.9865107913669066e-05, 'epoch': 6.03} -{'loss': 0.4284, 'grad_norm': 3.368098735809326, 'learning_rate': 1.985611510791367e-05, 'epoch': 6.04} -{'loss': 0.4317, 'grad_norm': 2.736887216567993, 'learning_rate': 1.9847122302158274e-05, 'epoch': 6.04} -{'loss': 0.4207, 'grad_norm': 2.398909091949463, 'learning_rate': 1.983812949640288e-05, 'epoch': 6.04} -{'loss': 0.4225, 'grad_norm': 4.056485652923584, 'learning_rate': 1.982913669064748e-05, 'epoch': 6.04} -{'loss': 0.4259, 'grad_norm': 3.6184966564178467, 'learning_rate': 1.9820143884892085e-05, 'epoch': 6.04} -{'loss': 0.4289, 'grad_norm': 4.1503753662109375, 'learning_rate': 1.9811151079136693e-05, 'epoch': 6.04} -{'loss': 0.4271, 'grad_norm': 2.997833251953125, 'learning_rate': 1.9802158273381297e-05, 'epoch': 6.05} -{'loss': 0.4174, 'grad_norm': 2.993090867996216, 'learning_rate': 1.97931654676259e-05, 'epoch': 6.05} -{'loss': 0.4176, 'grad_norm': 2.8849194049835205, 'learning_rate': 1.9784172661870504e-05, 'epoch': 6.05} - 61%|█████████████████████████████████████████████████████████████████████████████ | 3380/5570 [53:43<29:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4281465411186218, 'eval_runtime': 1.5061, 'eval_samples_per_second': 478.042, 'eval_steps_per_second': 3.984, 'epoch': 6.05} -{'loss': 0.4135, 'grad_norm': 1.5359514951705933, 'learning_rate': 1.9775179856115108e-05, 'epoch': 6.05} -{'loss': 0.4189, 'grad_norm': 1.915950894355774, 'learning_rate': 1.9766187050359712e-05, 'epoch': 6.05} -{'loss': 0.4214, 'grad_norm': 3.1123838424682617, 'learning_rate': 1.975719424460432e-05, 'epoch': 6.06} -{'loss': 0.4223, 'grad_norm': 1.70500910282135, 'learning_rate': 1.974820143884892e-05, 'epoch': 6.06} -{'loss': 0.4171, 'grad_norm': 2.4453136920928955, 'learning_rate': 1.9739208633093527e-05, 'epoch': 6.06} -{'loss': 0.4233, 'grad_norm': 3.21899676322937, 'learning_rate': 1.973021582733813e-05, 'epoch': 6.06} -{'loss': 0.4261, 'grad_norm': 2.718437433242798, 'learning_rate': 1.9721223021582735e-05, 'epoch': 6.06} -{'loss': 0.419, 'grad_norm': 1.3093518018722534, 'learning_rate': 1.9712230215827342e-05, 'epoch': 6.06} -{'loss': 0.4214, 'grad_norm': 0.9529483914375305, 'learning_rate': 1.9703237410071942e-05, 'epoch': 6.07} -{'loss': 0.4211, 'grad_norm': 3.0910696983337402, 'learning_rate': 1.9694244604316546e-05, 'epoch': 6.07} - 61%|█████████████████████████████████████████████████████████████████████████████▎ | 3390/5570 [53:52<29:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42704063653945923, 'eval_runtime': 1.5072, 'eval_samples_per_second': 477.719, 'eval_steps_per_second': 3.981, 'epoch': 6.07} -{'loss': 0.4119, 'grad_norm': 1.100022792816162, 'learning_rate': 1.9685251798561153e-05, 'epoch': 6.07} -{'loss': 0.4206, 'grad_norm': 2.124748468399048, 'learning_rate': 1.9676258992805757e-05, 'epoch': 6.07} -{'loss': 0.4246, 'grad_norm': 3.647143602371216, 'learning_rate': 1.9667266187050358e-05, 'epoch': 6.07} -{'loss': 0.4246, 'grad_norm': 2.78529691696167, 'learning_rate': 1.9658273381294965e-05, 'epoch': 6.08} -{'loss': 0.4222, 'grad_norm': 2.507573127746582, 'learning_rate': 1.964928057553957e-05, 'epoch': 6.08} -{'loss': 0.4256, 'grad_norm': 3.490185499191284, 'learning_rate': 1.9640287769784173e-05, 'epoch': 6.08} -{'loss': 0.428, 'grad_norm': 2.451310157775879, 'learning_rate': 1.963129496402878e-05, 'epoch': 6.08} -{'loss': 0.425, 'grad_norm': 3.3169262409210205, 'learning_rate': 1.962230215827338e-05, 'epoch': 6.08} -{'loss': 0.4261, 'grad_norm': 3.615107536315918, 'learning_rate': 1.9613309352517988e-05, 'epoch': 6.08} -{'loss': 0.4251, 'grad_norm': 3.8923377990722656, 'learning_rate': 1.960431654676259e-05, 'epoch': 6.09} - 61%|█████████████████████████████████████████████████████████████████████████████▌ | 3400/5570 [54:02<29:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42791664600372314, 'eval_runtime': 1.5383, 'eval_samples_per_second': 468.036, 'eval_steps_per_second': 3.9, 'epoch': 6.09} -{'loss': 0.4195, 'grad_norm': 1.6359151601791382, 'learning_rate': 1.9595323741007195e-05, 'epoch': 6.09} -{'loss': 0.419, 'grad_norm': 3.5972671508789062, 'learning_rate': 1.95863309352518e-05, 'epoch': 6.09} -{'loss': 0.4228, 'grad_norm': 4.53152322769165, 'learning_rate': 1.9577338129496403e-05, 'epoch': 6.09} -{'loss': 0.4164, 'grad_norm': 1.4031867980957031, 'learning_rate': 1.9568345323741007e-05, 'epoch': 6.09} -{'loss': 0.426, 'grad_norm': 1.8137625455856323, 'learning_rate': 1.9559352517985614e-05, 'epoch': 6.1} -{'loss': 0.419, 'grad_norm': 3.262238025665283, 'learning_rate': 1.9550359712230218e-05, 'epoch': 6.1} -{'loss': 0.4206, 'grad_norm': 3.7165729999542236, 'learning_rate': 1.954136690647482e-05, 'epoch': 6.1} -{'loss': 0.4073, 'grad_norm': 2.1931674480438232, 'learning_rate': 1.9532374100719426e-05, 'epoch': 6.1} -{'loss': 0.4167, 'grad_norm': 3.49300479888916, 'learning_rate': 1.952338129496403e-05, 'epoch': 6.1} -{'loss': 0.4259, 'grad_norm': 3.786593198776245, 'learning_rate': 1.9514388489208633e-05, 'epoch': 6.1} - 61%|█████████████████████████████████████████████████████████████████████████████▊ | 3410/5570 [54:11<29:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.427534818649292, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.328, 'eval_steps_per_second': 3.936, 'epoch': 6.1} -{'loss': 0.4211, 'grad_norm': 1.7822625637054443, 'learning_rate': 1.9505395683453237e-05, 'epoch': 6.11} -{'loss': 0.4215, 'grad_norm': 2.2144172191619873, 'learning_rate': 1.949640287769784e-05, 'epoch': 6.11} -{'loss': 0.415, 'grad_norm': 2.7369472980499268, 'learning_rate': 1.948741007194245e-05, 'epoch': 6.11} -{'loss': 0.4202, 'grad_norm': 3.0255773067474365, 'learning_rate': 1.9478417266187052e-05, 'epoch': 6.11} -{'loss': 0.4283, 'grad_norm': 1.9216400384902954, 'learning_rate': 1.9469424460431656e-05, 'epoch': 6.11} -{'loss': 0.4135, 'grad_norm': 1.7552247047424316, 'learning_rate': 1.946043165467626e-05, 'epoch': 6.11} -{'loss': 0.424, 'grad_norm': 2.2633419036865234, 'learning_rate': 1.9451438848920864e-05, 'epoch': 6.12} -{'loss': 0.4212, 'grad_norm': 2.4616878032684326, 'learning_rate': 1.9442446043165468e-05, 'epoch': 6.12} -{'loss': 0.4178, 'grad_norm': 1.5780531167984009, 'learning_rate': 1.9433453237410075e-05, 'epoch': 6.12} -{'loss': 0.4146, 'grad_norm': 2.2217001914978027, 'learning_rate': 1.942446043165468e-05, 'epoch': 6.12} - 61%|█████████████████████████████████████████████████████████████████████████████▉ | 3420/5570 [54:21<29:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265846610069275, 'eval_runtime': 1.5278, 'eval_samples_per_second': 471.254, 'eval_steps_per_second': 3.927, 'epoch': 6.12} -{'loss': 0.427, 'grad_norm': 1.3897926807403564, 'learning_rate': 1.941546762589928e-05, 'epoch': 6.12} -{'loss': 0.4165, 'grad_norm': 2.555825710296631, 'learning_rate': 1.9406474820143887e-05, 'epoch': 6.13} -{'loss': 0.4229, 'grad_norm': 2.7437026500701904, 'learning_rate': 1.939748201438849e-05, 'epoch': 6.13} -{'loss': 0.4324, 'grad_norm': 2.687328815460205, 'learning_rate': 1.9388489208633094e-05, 'epoch': 6.13} -{'loss': 0.4146, 'grad_norm': 2.230292797088623, 'learning_rate': 1.9379496402877698e-05, 'epoch': 6.13} -{'loss': 0.4243, 'grad_norm': 2.7232985496520996, 'learning_rate': 1.9370503597122302e-05, 'epoch': 6.13} -{'loss': 0.4309, 'grad_norm': 3.799189805984497, 'learning_rate': 1.936151079136691e-05, 'epoch': 6.13} -{'loss': 0.4244, 'grad_norm': 2.6655995845794678, 'learning_rate': 1.9352517985611513e-05, 'epoch': 6.14} -{'loss': 0.4211, 'grad_norm': 1.9652942419052124, 'learning_rate': 1.9343525179856117e-05, 'epoch': 6.14} -{'loss': 0.4263, 'grad_norm': 2.7958502769470215, 'learning_rate': 1.933453237410072e-05, 'epoch': 6.14} - 62%|██████████████████████████████████████████████████████████████████████████████▏ | 3430/5570 [54:31<29:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.432663232088089, 'eval_runtime': 1.5109, 'eval_samples_per_second': 476.55, 'eval_steps_per_second': 3.971, 'epoch': 6.14} -{'loss': 0.4368, 'grad_norm': 3.9734976291656494, 'learning_rate': 1.9325539568345325e-05, 'epoch': 6.14} -{'loss': 0.4234, 'grad_norm': 2.1531119346618652, 'learning_rate': 1.931654676258993e-05, 'epoch': 6.14} -{'loss': 0.4229, 'grad_norm': 1.4618464708328247, 'learning_rate': 1.9307553956834536e-05, 'epoch': 6.15} -{'loss': 0.4229, 'grad_norm': 2.4951798915863037, 'learning_rate': 1.9298561151079136e-05, 'epoch': 6.15} -{'loss': 0.4296, 'grad_norm': 3.714329957962036, 'learning_rate': 1.928956834532374e-05, 'epoch': 6.15} -{'loss': 0.4209, 'grad_norm': 1.5642201900482178, 'learning_rate': 1.9280575539568347e-05, 'epoch': 6.15} -{'loss': 0.4218, 'grad_norm': 3.4520301818847656, 'learning_rate': 1.927158273381295e-05, 'epoch': 6.15} -{'loss': 0.4283, 'grad_norm': 3.7251803874969482, 'learning_rate': 1.9262589928057555e-05, 'epoch': 6.15} -{'loss': 0.4193, 'grad_norm': 2.9212427139282227, 'learning_rate': 1.925359712230216e-05, 'epoch': 6.16} -{'loss': 0.4193, 'grad_norm': 1.522864580154419, 'learning_rate': 1.9244604316546763e-05, 'epoch': 6.16} - 62%|██████████████████████████████████████████████████████████████████████████████▍ | 3440/5570 [54:40<29:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43226104974746704, 'eval_runtime': 1.5297, 'eval_samples_per_second': 470.675, 'eval_steps_per_second': 3.922, 'epoch': 6.16} -{'loss': 0.4127, 'grad_norm': 2.7345471382141113, 'learning_rate': 1.9235611510791367e-05, 'epoch': 6.16} -{'loss': 0.4328, 'grad_norm': 4.791508674621582, 'learning_rate': 1.9226618705035974e-05, 'epoch': 6.16} -{'loss': 0.4278, 'grad_norm': 2.488173723220825, 'learning_rate': 1.9217625899280574e-05, 'epoch': 6.16} -{'loss': 0.4289, 'grad_norm': 1.714067816734314, 'learning_rate': 1.920863309352518e-05, 'epoch': 6.17} -{'loss': 0.4248, 'grad_norm': 2.934706449508667, 'learning_rate': 1.9199640287769785e-05, 'epoch': 6.17} -{'loss': 0.4167, 'grad_norm': 3.049783945083618, 'learning_rate': 1.919064748201439e-05, 'epoch': 6.17} -{'loss': 0.4244, 'grad_norm': 2.74371337890625, 'learning_rate': 1.9181654676258996e-05, 'epoch': 6.17} -{'loss': 0.4145, 'grad_norm': 2.9910335540771484, 'learning_rate': 1.9172661870503597e-05, 'epoch': 6.17} -{'loss': 0.4203, 'grad_norm': 2.9998552799224854, 'learning_rate': 1.91636690647482e-05, 'epoch': 6.17} -{'loss': 0.4246, 'grad_norm': 2.313305139541626, 'learning_rate': 1.9154676258992808e-05, 'epoch': 6.18} - 62%|██████████████████████████████████████████████████████████████████████████████▋ | 3450/5570 [54:50<28:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42966434359550476, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.656, 'eval_steps_per_second': 3.905, 'epoch': 6.18} -{'loss': 0.4187, 'grad_norm': 3.1412999629974365, 'learning_rate': 1.9145683453237412e-05, 'epoch': 6.18} -{'loss': 0.4202, 'grad_norm': 2.632460355758667, 'learning_rate': 1.9136690647482016e-05, 'epoch': 6.18} -{'loss': 0.4162, 'grad_norm': 1.624550223350525, 'learning_rate': 1.912769784172662e-05, 'epoch': 6.18} -{'loss': 0.4209, 'grad_norm': 2.918765068054199, 'learning_rate': 1.9118705035971223e-05, 'epoch': 6.18} -{'loss': 0.422, 'grad_norm': 1.5767887830734253, 'learning_rate': 1.9109712230215827e-05, 'epoch': 6.18} -{'loss': 0.4155, 'grad_norm': 1.0404167175292969, 'learning_rate': 1.9100719424460434e-05, 'epoch': 6.19} -{'loss': 0.4305, 'grad_norm': 2.830744504928589, 'learning_rate': 1.9091726618705035e-05, 'epoch': 6.19} -{'loss': 0.4237, 'grad_norm': 4.645172119140625, 'learning_rate': 1.9082733812949642e-05, 'epoch': 6.19} -{'loss': 0.4159, 'grad_norm': 1.7744879722595215, 'learning_rate': 1.9073741007194246e-05, 'epoch': 6.19} -{'loss': 0.4126, 'grad_norm': 2.7099602222442627, 'learning_rate': 1.906474820143885e-05, 'epoch': 6.19} - 62%|██████████████████████████████████████████████████████████████████████████████▉ | 3460/5570 [54:59<28:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4296833574771881, 'eval_runtime': 1.5301, 'eval_samples_per_second': 470.544, 'eval_steps_per_second': 3.921, 'epoch': 6.19} -{'loss': 0.4299, 'grad_norm': 4.403085708618164, 'learning_rate': 1.9055755395683454e-05, 'epoch': 6.2} -{'loss': 0.4115, 'grad_norm': 1.7155801057815552, 'learning_rate': 1.9046762589928058e-05, 'epoch': 6.2} -{'loss': 0.4302, 'grad_norm': 2.114041566848755, 'learning_rate': 1.903776978417266e-05, 'epoch': 6.2} -{'loss': 0.4258, 'grad_norm': 3.784034490585327, 'learning_rate': 1.902877697841727e-05, 'epoch': 6.2} -{'loss': 0.4188, 'grad_norm': 1.3790868520736694, 'learning_rate': 1.9019784172661873e-05, 'epoch': 6.2} -{'loss': 0.4241, 'grad_norm': 3.2411108016967773, 'learning_rate': 1.9010791366906473e-05, 'epoch': 6.2} -{'loss': 0.4252, 'grad_norm': 3.473827838897705, 'learning_rate': 1.900179856115108e-05, 'epoch': 6.21} -{'loss': 0.4213, 'grad_norm': 2.6234934329986572, 'learning_rate': 1.8992805755395684e-05, 'epoch': 6.21} -{'loss': 0.4218, 'grad_norm': 1.3173927068710327, 'learning_rate': 1.8983812949640288e-05, 'epoch': 6.21} -{'loss': 0.4159, 'grad_norm': 1.640019416809082, 'learning_rate': 1.8974820143884895e-05, 'epoch': 6.21} - 62%|███████████████████████████████████████████████████████████████████████████████ | 3470/5570 [55:09<28:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42893487215042114, 'eval_runtime': 1.5352, 'eval_samples_per_second': 469.004, 'eval_steps_per_second': 3.908, 'epoch': 6.21} -{'loss': 0.4155, 'grad_norm': 2.0043907165527344, 'learning_rate': 1.8965827338129496e-05, 'epoch': 6.21} -{'loss': 0.4212, 'grad_norm': 1.3329071998596191, 'learning_rate': 1.8956834532374103e-05, 'epoch': 6.22} -{'loss': 0.415, 'grad_norm': 1.8209314346313477, 'learning_rate': 1.8947841726618707e-05, 'epoch': 6.22} -{'loss': 0.4249, 'grad_norm': 3.9133799076080322, 'learning_rate': 1.893884892086331e-05, 'epoch': 6.22} -{'loss': 0.4213, 'grad_norm': 1.3026067018508911, 'learning_rate': 1.8929856115107914e-05, 'epoch': 6.22} -{'loss': 0.4227, 'grad_norm': 2.7160837650299072, 'learning_rate': 1.892086330935252e-05, 'epoch': 6.22} -{'loss': 0.4127, 'grad_norm': 2.0090134143829346, 'learning_rate': 1.8911870503597122e-05, 'epoch': 6.22} -{'loss': 0.4088, 'grad_norm': 2.4262030124664307, 'learning_rate': 1.890287769784173e-05, 'epoch': 6.23} -{'loss': 0.4205, 'grad_norm': 2.5210304260253906, 'learning_rate': 1.8893884892086333e-05, 'epoch': 6.23} -{'loss': 0.4232, 'grad_norm': 1.7529289722442627, 'learning_rate': 1.8884892086330934e-05, 'epoch': 6.23} - 62%|███████████████████████████████████████████████████████████████████████████████▎ | 3480/5570 [55:18<28:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4287422299385071, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.71, 'eval_steps_per_second': 3.939, 'epoch': 6.23} -{'loss': 0.4108, 'grad_norm': 1.118693470954895, 'learning_rate': 1.887589928057554e-05, 'epoch': 6.23} -{'loss': 0.4198, 'grad_norm': 3.6149654388427734, 'learning_rate': 1.8866906474820145e-05, 'epoch': 6.23} -{'loss': 0.4137, 'grad_norm': 2.713731288909912, 'learning_rate': 1.885791366906475e-05, 'epoch': 6.24} -{'loss': 0.42, 'grad_norm': 2.0794296264648438, 'learning_rate': 1.8848920863309353e-05, 'epoch': 6.24} -{'loss': 0.4186, 'grad_norm': 2.649970054626465, 'learning_rate': 1.8839928057553956e-05, 'epoch': 6.24} -{'loss': 0.4137, 'grad_norm': 1.7237690687179565, 'learning_rate': 1.8830935251798564e-05, 'epoch': 6.24} -{'loss': 0.4131, 'grad_norm': 3.0786831378936768, 'learning_rate': 1.8821942446043168e-05, 'epoch': 6.24} -{'loss': 0.4285, 'grad_norm': 1.8987704515457153, 'learning_rate': 1.881294964028777e-05, 'epoch': 6.24} -{'loss': 0.4224, 'grad_norm': 1.988639235496521, 'learning_rate': 1.8803956834532375e-05, 'epoch': 6.25} -{'loss': 0.4244, 'grad_norm': 1.978865385055542, 'learning_rate': 1.879496402877698e-05, 'epoch': 6.25} - 63%|███████████████████████████████████████████████████████████████████████████████▌ | 3490/5570 [55:28<28:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42980116605758667, 'eval_runtime': 1.5166, 'eval_samples_per_second': 474.753, 'eval_steps_per_second': 3.956, 'epoch': 6.25} -{'loss': 0.4191, 'grad_norm': 2.321882486343384, 'learning_rate': 1.8785971223021583e-05, 'epoch': 6.25} -{'loss': 0.4198, 'grad_norm': 1.6246107816696167, 'learning_rate': 1.877697841726619e-05, 'epoch': 6.25} -{'loss': 0.417, 'grad_norm': 1.7229959964752197, 'learning_rate': 1.876798561151079e-05, 'epoch': 6.25} -{'loss': 0.429, 'grad_norm': 1.763332724571228, 'learning_rate': 1.8758992805755395e-05, 'epoch': 6.25} -{'loss': 0.439, 'grad_norm': 2.868765115737915, 'learning_rate': 1.8750000000000002e-05, 'epoch': 6.26} -{'loss': 0.4244, 'grad_norm': 2.774491310119629, 'learning_rate': 1.8741007194244606e-05, 'epoch': 6.26} -{'loss': 0.4227, 'grad_norm': 1.8412690162658691, 'learning_rate': 1.873201438848921e-05, 'epoch': 6.26} -{'loss': 0.4193, 'grad_norm': 1.3840996026992798, 'learning_rate': 1.8723021582733813e-05, 'epoch': 6.26} -{'loss': 0.4183, 'grad_norm': 1.667029857635498, 'learning_rate': 1.8714028776978417e-05, 'epoch': 6.26} -{'loss': 0.4247, 'grad_norm': 3.0455048084259033, 'learning_rate': 1.8705035971223024e-05, 'epoch': 6.27} - 63%|███████████████████████████████████████████████████████████████████████████████▊ | 3500/5570 [55:37<28:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43164774775505066, 'eval_runtime': 1.5516, 'eval_samples_per_second': 464.048, 'eval_steps_per_second': 3.867, 'epoch': 6.27} -{'loss': 0.4237, 'grad_norm': 5.011463165283203, 'learning_rate': 1.8696043165467628e-05, 'epoch': 6.27} -{'loss': 0.4097, 'grad_norm': 1.1247987747192383, 'learning_rate': 1.868705035971223e-05, 'epoch': 6.27} -{'loss': 0.4203, 'grad_norm': 2.4294726848602295, 'learning_rate': 1.8678057553956836e-05, 'epoch': 6.27} -{'loss': 0.4156, 'grad_norm': 2.8005478382110596, 'learning_rate': 1.866906474820144e-05, 'epoch': 6.27} -{'loss': 0.4187, 'grad_norm': 2.5405478477478027, 'learning_rate': 1.8660071942446044e-05, 'epoch': 6.27} -{'loss': 0.4221, 'grad_norm': 1.7650437355041504, 'learning_rate': 1.865107913669065e-05, 'epoch': 6.28} -{'loss': 0.433, 'grad_norm': 1.8434754610061646, 'learning_rate': 1.864208633093525e-05, 'epoch': 6.28} -{'loss': 0.43, 'grad_norm': 3.053069591522217, 'learning_rate': 1.8633093525179855e-05, 'epoch': 6.28} -{'loss': 0.4218, 'grad_norm': 1.5341298580169678, 'learning_rate': 1.8624100719424462e-05, 'epoch': 6.28} -{'loss': 0.4237, 'grad_norm': 2.27411150932312, 'learning_rate': 1.8615107913669066e-05, 'epoch': 6.28} - 63%|████████████████████████████████████████████████████████████████████████████████ | 3510/5570 [55:47<28:21, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42657893896102905, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.322, 'eval_steps_per_second': 3.936, 'epoch': 6.28} -{'loss': 0.4253, 'grad_norm': 2.2793734073638916, 'learning_rate': 1.860611510791367e-05, 'epoch': 6.29} -{'loss': 0.4134, 'grad_norm': 2.390348434448242, 'learning_rate': 1.8597122302158274e-05, 'epoch': 6.29} -{'loss': 0.409, 'grad_norm': 2.751919746398926, 'learning_rate': 1.8588129496402878e-05, 'epoch': 6.29} -{'loss': 0.4255, 'grad_norm': 2.776069164276123, 'learning_rate': 1.8579136690647482e-05, 'epoch': 6.29} -{'loss': 0.4196, 'grad_norm': 1.4904707670211792, 'learning_rate': 1.857014388489209e-05, 'epoch': 6.29} -{'loss': 0.4249, 'grad_norm': 1.9163819551467896, 'learning_rate': 1.856115107913669e-05, 'epoch': 6.29} -{'loss': 0.4192, 'grad_norm': 2.523083448410034, 'learning_rate': 1.8552158273381297e-05, 'epoch': 6.3} -{'loss': 0.4184, 'grad_norm': 1.3601566553115845, 'learning_rate': 1.85431654676259e-05, 'epoch': 6.3} -{'loss': 0.4182, 'grad_norm': 1.894556999206543, 'learning_rate': 1.8534172661870504e-05, 'epoch': 6.3} -{'loss': 0.4318, 'grad_norm': 2.1163039207458496, 'learning_rate': 1.8525179856115108e-05, 'epoch': 6.3} - 63%|████████████████████████████████████████████████████████████████████████████████▎ | 3520/5570 [55:57<27:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4269837737083435, 'eval_runtime': 1.5192, 'eval_samples_per_second': 473.926, 'eval_steps_per_second': 3.949, 'epoch': 6.3} -{'loss': 0.4156, 'grad_norm': 2.4614551067352295, 'learning_rate': 1.8516187050359712e-05, 'epoch': 6.3} -{'loss': 0.4164, 'grad_norm': 2.4476006031036377, 'learning_rate': 1.8507194244604316e-05, 'epoch': 6.31} -{'loss': 0.4127, 'grad_norm': 1.9358627796173096, 'learning_rate': 1.8498201438848923e-05, 'epoch': 6.31} -{'loss': 0.4267, 'grad_norm': 2.1557374000549316, 'learning_rate': 1.8489208633093527e-05, 'epoch': 6.31} -{'loss': 0.4272, 'grad_norm': 2.2534286975860596, 'learning_rate': 1.848021582733813e-05, 'epoch': 6.31} -{'loss': 0.4232, 'grad_norm': 2.422452688217163, 'learning_rate': 1.8471223021582735e-05, 'epoch': 6.31} -{'loss': 0.4293, 'grad_norm': 4.742001533508301, 'learning_rate': 1.846223021582734e-05, 'epoch': 6.31} -{'loss': 0.4238, 'grad_norm': 3.3659818172454834, 'learning_rate': 1.8453237410071942e-05, 'epoch': 6.32} -{'loss': 0.4207, 'grad_norm': 2.350739002227783, 'learning_rate': 1.844424460431655e-05, 'epoch': 6.32} -{'loss': 0.4193, 'grad_norm': 2.549736976623535, 'learning_rate': 1.843525179856115e-05, 'epoch': 6.32} - 63%|████████████████████████████████████████████████████████████████████████████████▍ | 3530/5570 [56:06<27:30, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.428494930267334, 'eval_runtime': 1.5156, 'eval_samples_per_second': 475.075, 'eval_steps_per_second': 3.959, 'epoch': 6.32} -{'loss': 0.4185, 'grad_norm': 2.187028169631958, 'learning_rate': 1.8426258992805757e-05, 'epoch': 6.32} -{'loss': 0.4183, 'grad_norm': 2.134262800216675, 'learning_rate': 1.841726618705036e-05, 'epoch': 6.32} -{'loss': 0.423, 'grad_norm': 2.569685459136963, 'learning_rate': 1.8408273381294965e-05, 'epoch': 6.32} -{'loss': 0.4291, 'grad_norm': 3.2102551460266113, 'learning_rate': 1.839928057553957e-05, 'epoch': 6.33} -{'loss': 0.4308, 'grad_norm': 3.220950126647949, 'learning_rate': 1.8390287769784173e-05, 'epoch': 6.33} -{'loss': 0.4168, 'grad_norm': 1.5617338418960571, 'learning_rate': 1.8381294964028777e-05, 'epoch': 6.33} -{'loss': 0.4286, 'grad_norm': 2.6151084899902344, 'learning_rate': 1.8372302158273384e-05, 'epoch': 6.33} -{'loss': 0.4219, 'grad_norm': 3.498769760131836, 'learning_rate': 1.8363309352517988e-05, 'epoch': 6.33} -{'loss': 0.4224, 'grad_norm': 1.4216501712799072, 'learning_rate': 1.8354316546762588e-05, 'epoch': 6.34} -{'loss': 0.4247, 'grad_norm': 2.312006711959839, 'learning_rate': 1.8345323741007196e-05, 'epoch': 6.34} - 64%|████████████████████████████████████████████████████████████████████████████████▋ | 3540/5570 [56:16<27:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4279416501522064, 'eval_runtime': 1.5321, 'eval_samples_per_second': 469.944, 'eval_steps_per_second': 3.916, 'epoch': 6.34} -{'loss': 0.4298, 'grad_norm': 3.329176664352417, 'learning_rate': 1.83363309352518e-05, 'epoch': 6.34} -{'loss': 0.4203, 'grad_norm': 1.7419923543930054, 'learning_rate': 1.8327338129496403e-05, 'epoch': 6.34} -{'loss': 0.41, 'grad_norm': 1.3679471015930176, 'learning_rate': 1.8318345323741007e-05, 'epoch': 6.34} -{'loss': 0.4155, 'grad_norm': 3.172025442123413, 'learning_rate': 1.830935251798561e-05, 'epoch': 6.34} -{'loss': 0.4268, 'grad_norm': 2.6591098308563232, 'learning_rate': 1.8300359712230218e-05, 'epoch': 6.35} -{'loss': 0.4186, 'grad_norm': 2.1805567741394043, 'learning_rate': 1.8291366906474822e-05, 'epoch': 6.35} -{'loss': 0.424, 'grad_norm': 1.6942925453186035, 'learning_rate': 1.8282374100719426e-05, 'epoch': 6.35} -{'loss': 0.4148, 'grad_norm': 2.394259452819824, 'learning_rate': 1.827338129496403e-05, 'epoch': 6.35} -{'loss': 0.4274, 'grad_norm': 1.6919572353363037, 'learning_rate': 1.8264388489208634e-05, 'epoch': 6.35} -{'loss': 0.4205, 'grad_norm': 2.38215708732605, 'learning_rate': 1.8255395683453237e-05, 'epoch': 6.36} - 64%|████████████████████████████████████████████████████████████████████████████████▉ | 3550/5570 [56:25<27:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4298279583454132, 'eval_runtime': 1.5196, 'eval_samples_per_second': 473.818, 'eval_steps_per_second': 3.948, 'epoch': 6.36} -{'loss': 0.4283, 'grad_norm': 2.9019460678100586, 'learning_rate': 1.8246402877697845e-05, 'epoch': 6.36} -{'loss': 0.4182, 'grad_norm': 1.8671783208847046, 'learning_rate': 1.8237410071942445e-05, 'epoch': 6.36} -{'loss': 0.4216, 'grad_norm': 1.3640527725219727, 'learning_rate': 1.822841726618705e-05, 'epoch': 6.36} -{'loss': 0.426, 'grad_norm': 2.9424426555633545, 'learning_rate': 1.8219424460431656e-05, 'epoch': 6.36} -{'loss': 0.4183, 'grad_norm': 1.43392813205719, 'learning_rate': 1.821043165467626e-05, 'epoch': 6.36} -{'loss': 0.4194, 'grad_norm': 1.4567844867706299, 'learning_rate': 1.8201438848920864e-05, 'epoch': 6.37} -{'loss': 0.4112, 'grad_norm': 3.055720567703247, 'learning_rate': 1.8192446043165468e-05, 'epoch': 6.37} -{'loss': 0.4169, 'grad_norm': 3.292898416519165, 'learning_rate': 1.818345323741007e-05, 'epoch': 6.37} -{'loss': 0.4239, 'grad_norm': 1.7960796356201172, 'learning_rate': 1.817446043165468e-05, 'epoch': 6.37} -{'loss': 0.4185, 'grad_norm': 2.272181987762451, 'learning_rate': 1.8165467625899283e-05, 'epoch': 6.37} - 64%|█████████████████████████████████████████████████████████████████████████████████▏ | 3560/5570 [56:35<27:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42598265409469604, 'eval_runtime': 1.5298, 'eval_samples_per_second': 470.658, 'eval_steps_per_second': 3.922, 'epoch': 6.37} -{'loss': 0.4188, 'grad_norm': 1.4522602558135986, 'learning_rate': 1.8156474820143883e-05, 'epoch': 6.38} -{'loss': 0.4094, 'grad_norm': 1.492119550704956, 'learning_rate': 1.814748201438849e-05, 'epoch': 6.38} -{'loss': 0.4299, 'grad_norm': 2.135843515396118, 'learning_rate': 1.8138489208633094e-05, 'epoch': 6.38} -{'loss': 0.426, 'grad_norm': 2.403521776199341, 'learning_rate': 1.8129496402877698e-05, 'epoch': 6.38} -{'loss': 0.404, 'grad_norm': 2.3909428119659424, 'learning_rate': 1.8120503597122305e-05, 'epoch': 6.38} -{'loss': 0.4191, 'grad_norm': 1.588805913925171, 'learning_rate': 1.8111510791366906e-05, 'epoch': 6.38} -{'loss': 0.4186, 'grad_norm': 3.3244950771331787, 'learning_rate': 1.810251798561151e-05, 'epoch': 6.39} -{'loss': 0.4297, 'grad_norm': 2.8266873359680176, 'learning_rate': 1.8093525179856117e-05, 'epoch': 6.39} -{'loss': 0.4152, 'grad_norm': 2.3447105884552, 'learning_rate': 1.808453237410072e-05, 'epoch': 6.39} -{'loss': 0.4283, 'grad_norm': 4.066744327545166, 'learning_rate': 1.8075539568345325e-05, 'epoch': 6.39} - 64%|█████████████████████████████████████████████████████████████████████████████████▍ | 3570/5570 [56:44<27:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4307790994644165, 'eval_runtime': 1.5202, 'eval_samples_per_second': 473.608, 'eval_steps_per_second': 3.947, 'epoch': 6.39} -{'loss': 0.428, 'grad_norm': 4.334610939025879, 'learning_rate': 1.806654676258993e-05, 'epoch': 6.39} -{'loss': 0.415, 'grad_norm': 2.308377504348755, 'learning_rate': 1.8057553956834532e-05, 'epoch': 6.39} -{'loss': 0.4164, 'grad_norm': 2.0674257278442383, 'learning_rate': 1.804856115107914e-05, 'epoch': 6.4} -{'loss': 0.4184, 'grad_norm': 3.199857711791992, 'learning_rate': 1.8039568345323743e-05, 'epoch': 6.4} -{'loss': 0.4225, 'grad_norm': 1.2527753114700317, 'learning_rate': 1.8030575539568344e-05, 'epoch': 6.4} -{'loss': 0.4184, 'grad_norm': 2.154301881790161, 'learning_rate': 1.802158273381295e-05, 'epoch': 6.4} -{'loss': 0.4214, 'grad_norm': 2.4456851482391357, 'learning_rate': 1.8012589928057555e-05, 'epoch': 6.4} -{'loss': 0.4411, 'grad_norm': 1.836736798286438, 'learning_rate': 1.800359712230216e-05, 'epoch': 6.41} -{'loss': 0.4211, 'grad_norm': 3.053480386734009, 'learning_rate': 1.7994604316546766e-05, 'epoch': 6.41} -{'loss': 0.4165, 'grad_norm': 3.7229793071746826, 'learning_rate': 1.7985611510791367e-05, 'epoch': 6.41} - 64%|█████████████████████████████████████████████████████████████████████████████████▋ | 3580/5570 [56:54<27:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42908045649528503, 'eval_runtime': 1.5298, 'eval_samples_per_second': 470.647, 'eval_steps_per_second': 3.922, 'epoch': 6.41} -{'loss': 0.4203, 'grad_norm': 2.3155510425567627, 'learning_rate': 1.797661870503597e-05, 'epoch': 6.41} -{'loss': 0.4294, 'grad_norm': 1.566253662109375, 'learning_rate': 1.7967625899280578e-05, 'epoch': 6.41} -{'loss': 0.4219, 'grad_norm': 2.0443615913391113, 'learning_rate': 1.795863309352518e-05, 'epoch': 6.41} -{'loss': 0.4243, 'grad_norm': 2.151304006576538, 'learning_rate': 1.7949640287769785e-05, 'epoch': 6.42} -{'loss': 0.4235, 'grad_norm': 2.9617505073547363, 'learning_rate': 1.794064748201439e-05, 'epoch': 6.42} -{'loss': 0.4205, 'grad_norm': 3.442483901977539, 'learning_rate': 1.7931654676258993e-05, 'epoch': 6.42} -{'loss': 0.4236, 'grad_norm': 2.9272208213806152, 'learning_rate': 1.7922661870503597e-05, 'epoch': 6.42} -{'loss': 0.4305, 'grad_norm': 5.457154273986816, 'learning_rate': 1.7913669064748204e-05, 'epoch': 6.42} -{'loss': 0.4246, 'grad_norm': 3.890578508377075, 'learning_rate': 1.7904676258992805e-05, 'epoch': 6.43} -{'loss': 0.4169, 'grad_norm': 1.8631807565689087, 'learning_rate': 1.7895683453237412e-05, 'epoch': 6.43} - 64%|█████████████████████████████████████████████████████████████████████████████████▊ | 3590/5570 [57:03<26:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.428785502910614, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.026, 'eval_steps_per_second': 3.934, 'epoch': 6.43} -{'loss': 0.4298, 'grad_norm': 3.540740728378296, 'learning_rate': 1.7886690647482016e-05, 'epoch': 6.43} -{'loss': 0.4171, 'grad_norm': 3.972689151763916, 'learning_rate': 1.787769784172662e-05, 'epoch': 6.43} -{'loss': 0.4188, 'grad_norm': 2.7658746242523193, 'learning_rate': 1.7868705035971224e-05, 'epoch': 6.43} -{'loss': 0.4122, 'grad_norm': 1.097615122795105, 'learning_rate': 1.7859712230215827e-05, 'epoch': 6.43} -{'loss': 0.4193, 'grad_norm': 1.7743338346481323, 'learning_rate': 1.785071942446043e-05, 'epoch': 6.44} -{'loss': 0.4191, 'grad_norm': 2.3972434997558594, 'learning_rate': 1.784172661870504e-05, 'epoch': 6.44} -{'loss': 0.4156, 'grad_norm': 1.8566269874572754, 'learning_rate': 1.7832733812949642e-05, 'epoch': 6.44} -{'loss': 0.4089, 'grad_norm': 2.3841891288757324, 'learning_rate': 1.7823741007194246e-05, 'epoch': 6.44} -{'loss': 0.4261, 'grad_norm': 1.866200566291809, 'learning_rate': 1.781474820143885e-05, 'epoch': 6.44} -{'loss': 0.4191, 'grad_norm': 2.3776822090148926, 'learning_rate': 1.7805755395683454e-05, 'epoch': 6.45} - 65%|██████████████████████████████████████████████████████████████████████████████████ | 3600/5570 [57:13<26:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4252687990665436, 'eval_runtime': 1.5325, 'eval_samples_per_second': 469.811, 'eval_steps_per_second': 3.915, 'epoch': 6.45} -{'loss': 0.4166, 'grad_norm': 1.3353323936462402, 'learning_rate': 1.7796762589928058e-05, 'epoch': 6.45} -{'loss': 0.4188, 'grad_norm': 2.3608882427215576, 'learning_rate': 1.778776978417266e-05, 'epoch': 6.45} -{'loss': 0.4126, 'grad_norm': 2.696460008621216, 'learning_rate': 1.7778776978417265e-05, 'epoch': 6.45} -{'loss': 0.4213, 'grad_norm': 1.3152191638946533, 'learning_rate': 1.7769784172661873e-05, 'epoch': 6.45} -{'loss': 0.4211, 'grad_norm': 1.8952778577804565, 'learning_rate': 1.7760791366906477e-05, 'epoch': 6.45} -{'loss': 0.4205, 'grad_norm': 1.918997049331665, 'learning_rate': 1.775179856115108e-05, 'epoch': 6.46} -{'loss': 0.4185, 'grad_norm': 1.7439056634902954, 'learning_rate': 1.7742805755395684e-05, 'epoch': 6.46} -{'loss': 0.4148, 'grad_norm': 2.5402636528015137, 'learning_rate': 1.7733812949640288e-05, 'epoch': 6.46} -{'loss': 0.4276, 'grad_norm': 1.4624323844909668, 'learning_rate': 1.7724820143884892e-05, 'epoch': 6.46} -{'loss': 0.4234, 'grad_norm': 4.1817946434021, 'learning_rate': 1.77158273381295e-05, 'epoch': 6.46} - 65%|██████████████████████████████████████████████████████████████████████████████████▎ | 3610/5570 [57:23<26:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43356406688690186, 'eval_runtime': 1.5509, 'eval_samples_per_second': 464.233, 'eval_steps_per_second': 3.869, 'epoch': 6.46} -{'loss': 0.4233, 'grad_norm': 4.711008548736572, 'learning_rate': 1.77068345323741e-05, 'epoch': 6.46} -{'loss': 0.4245, 'grad_norm': 3.2043473720550537, 'learning_rate': 1.7697841726618707e-05, 'epoch': 6.47} -{'loss': 0.4172, 'grad_norm': 1.773379921913147, 'learning_rate': 1.768884892086331e-05, 'epoch': 6.47} -{'loss': 0.4203, 'grad_norm': 3.839384078979492, 'learning_rate': 1.7679856115107915e-05, 'epoch': 6.47} -{'loss': 0.418, 'grad_norm': 3.0673844814300537, 'learning_rate': 1.767086330935252e-05, 'epoch': 6.47} -{'loss': 0.4247, 'grad_norm': 2.927246332168579, 'learning_rate': 1.7661870503597122e-05, 'epoch': 6.47} -{'loss': 0.4213, 'grad_norm': 3.0702109336853027, 'learning_rate': 1.7652877697841726e-05, 'epoch': 6.48} -{'loss': 0.4218, 'grad_norm': 4.184547424316406, 'learning_rate': 1.7643884892086333e-05, 'epoch': 6.48} -{'loss': 0.4251, 'grad_norm': 3.3496973514556885, 'learning_rate': 1.7634892086330937e-05, 'epoch': 6.48} -{'loss': 0.4133, 'grad_norm': 0.9338118433952332, 'learning_rate': 1.7625899280575538e-05, 'epoch': 6.48} - 65%|██████████████████████████████████████████████████████████████████████████████████▌ | 3620/5570 [57:32<26:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42979323863983154, 'eval_runtime': 1.533, 'eval_samples_per_second': 469.674, 'eval_steps_per_second': 3.914, 'epoch': 6.48} -{'loss': 0.4252, 'grad_norm': 3.4555375576019287, 'learning_rate': 1.7616906474820145e-05, 'epoch': 6.48} -{'loss': 0.434, 'grad_norm': 4.083540439605713, 'learning_rate': 1.760791366906475e-05, 'epoch': 6.48} -{'loss': 0.4306, 'grad_norm': 5.878773212432861, 'learning_rate': 1.7598920863309353e-05, 'epoch': 6.49} -{'loss': 0.4191, 'grad_norm': 2.2734436988830566, 'learning_rate': 1.758992805755396e-05, 'epoch': 6.49} -{'loss': 0.4238, 'grad_norm': 2.0250000953674316, 'learning_rate': 1.758093525179856e-05, 'epoch': 6.49} -{'loss': 0.4188, 'grad_norm': 3.5884625911712646, 'learning_rate': 1.7571942446043164e-05, 'epoch': 6.49} -{'loss': 0.4205, 'grad_norm': 2.475494146347046, 'learning_rate': 1.756294964028777e-05, 'epoch': 6.49} -{'loss': 0.4099, 'grad_norm': 2.0243024826049805, 'learning_rate': 1.7553956834532375e-05, 'epoch': 6.5} -{'loss': 0.4189, 'grad_norm': 2.984684705734253, 'learning_rate': 1.754496402877698e-05, 'epoch': 6.5} -{'loss': 0.4159, 'grad_norm': 2.7627625465393066, 'learning_rate': 1.7535971223021583e-05, 'epoch': 6.5} - 65%|██████████████████████████████████████████████████████████████████████████████████▊ | 3630/5570 [57:42<26:06, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42749106884002686, 'eval_runtime': 1.5193, 'eval_samples_per_second': 473.902, 'eval_steps_per_second': 3.949, 'epoch': 6.5} -{'loss': 0.4225, 'grad_norm': 1.1915366649627686, 'learning_rate': 1.7526978417266187e-05, 'epoch': 6.5} -{'loss': 0.4255, 'grad_norm': 2.3059446811676025, 'learning_rate': 1.7517985611510794e-05, 'epoch': 6.5} -{'loss': 0.4211, 'grad_norm': 2.811924457550049, 'learning_rate': 1.7508992805755398e-05, 'epoch': 6.5} -{'loss': 0.4262, 'grad_norm': 3.9631919860839844, 'learning_rate': 1.75e-05, 'epoch': 6.51} -{'loss': 0.4159, 'grad_norm': 1.5291084051132202, 'learning_rate': 1.7491007194244606e-05, 'epoch': 6.51} -{'loss': 0.4239, 'grad_norm': 2.1760103702545166, 'learning_rate': 1.748201438848921e-05, 'epoch': 6.51} -{'loss': 0.4224, 'grad_norm': 4.628464698791504, 'learning_rate': 1.7473021582733813e-05, 'epoch': 6.51} -{'loss': 0.4249, 'grad_norm': 2.7557313442230225, 'learning_rate': 1.746402877697842e-05, 'epoch': 6.51} -{'loss': 0.4119, 'grad_norm': 2.055233955383301, 'learning_rate': 1.745503597122302e-05, 'epoch': 6.52} -{'loss': 0.4212, 'grad_norm': 2.8501439094543457, 'learning_rate': 1.7446043165467625e-05, 'epoch': 6.52} - 65%|██████████████████████████████████████████████████████████████████████████████████▉ | 3640/5570 [57:51<26:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4284611940383911, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.371, 'eval_steps_per_second': 3.92, 'epoch': 6.52} -{'loss': 0.4177, 'grad_norm': 2.6229238510131836, 'learning_rate': 1.7437050359712232e-05, 'epoch': 6.52} -{'loss': 0.4234, 'grad_norm': 2.5463123321533203, 'learning_rate': 1.7428057553956836e-05, 'epoch': 6.52} -{'loss': 0.4224, 'grad_norm': 2.4496209621429443, 'learning_rate': 1.741906474820144e-05, 'epoch': 6.52} -{'loss': 0.4144, 'grad_norm': 1.3523136377334595, 'learning_rate': 1.7410071942446044e-05, 'epoch': 6.52} -{'loss': 0.4192, 'grad_norm': 3.027775526046753, 'learning_rate': 1.7401079136690648e-05, 'epoch': 6.53} -{'loss': 0.4104, 'grad_norm': 1.5457614660263062, 'learning_rate': 1.7392086330935255e-05, 'epoch': 6.53} -{'loss': 0.4198, 'grad_norm': 2.3346076011657715, 'learning_rate': 1.738309352517986e-05, 'epoch': 6.53} -{'loss': 0.4183, 'grad_norm': 1.769559621810913, 'learning_rate': 1.737410071942446e-05, 'epoch': 6.53} -{'loss': 0.4254, 'grad_norm': 2.1456398963928223, 'learning_rate': 1.7365107913669066e-05, 'epoch': 6.53} -{'loss': 0.4153, 'grad_norm': 1.7262451648712158, 'learning_rate': 1.735611510791367e-05, 'epoch': 6.54} - 66%|███████████████████████████████████████████████████████████████████████████████████▏ | 3650/5570 [58:01<25:53, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4283890724182129, 'eval_runtime': 1.5273, 'eval_samples_per_second': 471.415, 'eval_steps_per_second': 3.928, 'epoch': 6.54} -{'loss': 0.4256, 'grad_norm': 2.6733686923980713, 'learning_rate': 1.7347122302158274e-05, 'epoch': 6.54} -{'loss': 0.4148, 'grad_norm': 2.0414297580718994, 'learning_rate': 1.7338129496402878e-05, 'epoch': 6.54} -{'loss': 0.4157, 'grad_norm': 2.645494222640991, 'learning_rate': 1.7329136690647482e-05, 'epoch': 6.54} -{'loss': 0.4266, 'grad_norm': 2.5358729362487793, 'learning_rate': 1.7320143884892086e-05, 'epoch': 6.54} -{'loss': 0.4275, 'grad_norm': 1.977221965789795, 'learning_rate': 1.7311151079136693e-05, 'epoch': 6.54} -{'loss': 0.4274, 'grad_norm': 1.5698301792144775, 'learning_rate': 1.7302158273381297e-05, 'epoch': 6.55} -{'loss': 0.4182, 'grad_norm': 2.8725550174713135, 'learning_rate': 1.72931654676259e-05, 'epoch': 6.55} -{'loss': 0.4171, 'grad_norm': 2.453906297683716, 'learning_rate': 1.7284172661870505e-05, 'epoch': 6.55} -{'loss': 0.4169, 'grad_norm': 2.370864152908325, 'learning_rate': 1.727517985611511e-05, 'epoch': 6.55} -{'loss': 0.4155, 'grad_norm': 2.5743725299835205, 'learning_rate': 1.7266187050359716e-05, 'epoch': 6.55} - 66%|███████████████████████████████████████████████████████████████████████████████████▍ | 3660/5570 [58:10<26:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43114620447158813, 'eval_runtime': 1.5405, 'eval_samples_per_second': 467.37, 'eval_steps_per_second': 3.895, 'epoch': 6.55} -{'loss': 0.4244, 'grad_norm': 2.9414825439453125, 'learning_rate': 1.7257194244604316e-05, 'epoch': 6.55} -{'loss': 0.4295, 'grad_norm': 3.490535020828247, 'learning_rate': 1.724820143884892e-05, 'epoch': 6.56} -{'loss': 0.4218, 'grad_norm': 1.7462540864944458, 'learning_rate': 1.7239208633093527e-05, 'epoch': 6.56} -{'loss': 0.4301, 'grad_norm': 4.12763786315918, 'learning_rate': 1.723021582733813e-05, 'epoch': 6.56} -{'loss': 0.4106, 'grad_norm': 2.829643964767456, 'learning_rate': 1.7221223021582735e-05, 'epoch': 6.56} -{'loss': 0.4237, 'grad_norm': 3.1288955211639404, 'learning_rate': 1.721223021582734e-05, 'epoch': 6.56} -{'loss': 0.4189, 'grad_norm': 1.5508238077163696, 'learning_rate': 1.7203237410071943e-05, 'epoch': 6.57} -{'loss': 0.4153, 'grad_norm': 2.3456692695617676, 'learning_rate': 1.7194244604316546e-05, 'epoch': 6.57} -{'loss': 0.4182, 'grad_norm': 2.804555892944336, 'learning_rate': 1.7185251798561154e-05, 'epoch': 6.57} -{'loss': 0.4312, 'grad_norm': 3.610750913619995, 'learning_rate': 1.7176258992805754e-05, 'epoch': 6.57} - 66%|███████████████████████████████████████████████████████████████████████████████████▋ | 3670/5570 [58:20<25:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4309539496898651, 'eval_runtime': 1.534, 'eval_samples_per_second': 469.352, 'eval_steps_per_second': 3.911, 'epoch': 6.57} -{'loss': 0.4143, 'grad_norm': 3.0933351516723633, 'learning_rate': 1.716726618705036e-05, 'epoch': 6.57} -{'loss': 0.4188, 'grad_norm': 1.7655829191207886, 'learning_rate': 1.7158273381294965e-05, 'epoch': 6.57} -{'loss': 0.4209, 'grad_norm': 2.627668857574463, 'learning_rate': 1.714928057553957e-05, 'epoch': 6.58} -{'loss': 0.4256, 'grad_norm': 3.1595380306243896, 'learning_rate': 1.7140287769784173e-05, 'epoch': 6.58} -{'loss': 0.4146, 'grad_norm': 3.022951126098633, 'learning_rate': 1.7131294964028777e-05, 'epoch': 6.58} -{'loss': 0.4338, 'grad_norm': 4.353872776031494, 'learning_rate': 1.712230215827338e-05, 'epoch': 6.58} -{'loss': 0.4178, 'grad_norm': 3.385579824447632, 'learning_rate': 1.7113309352517988e-05, 'epoch': 6.58} -{'loss': 0.4176, 'grad_norm': 1.727769136428833, 'learning_rate': 1.7104316546762592e-05, 'epoch': 6.59} -{'loss': 0.4199, 'grad_norm': 4.025668621063232, 'learning_rate': 1.7095323741007192e-05, 'epoch': 6.59} -{'loss': 0.433, 'grad_norm': 3.2111942768096924, 'learning_rate': 1.70863309352518e-05, 'epoch': 6.59} - 66%|███████████████████████████████████████████████████████████████████████████████████▉ | 3680/5570 [58:29<25:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42993757128715515, 'eval_runtime': 1.5232, 'eval_samples_per_second': 472.687, 'eval_steps_per_second': 3.939, 'epoch': 6.59} -{'loss': 0.4192, 'grad_norm': 2.791325807571411, 'learning_rate': 1.7077338129496403e-05, 'epoch': 6.59} -{'loss': 0.425, 'grad_norm': 1.4392892122268677, 'learning_rate': 1.7068345323741007e-05, 'epoch': 6.59} -{'loss': 0.4176, 'grad_norm': 1.1536740064620972, 'learning_rate': 1.7059352517985614e-05, 'epoch': 6.59} -{'loss': 0.4241, 'grad_norm': 2.877321720123291, 'learning_rate': 1.7050359712230215e-05, 'epoch': 6.6} -{'loss': 0.4296, 'grad_norm': 2.6238245964050293, 'learning_rate': 1.7041366906474822e-05, 'epoch': 6.6} -{'loss': 0.4293, 'grad_norm': 2.1523277759552, 'learning_rate': 1.7032374100719426e-05, 'epoch': 6.6} -{'loss': 0.4132, 'grad_norm': 1.6524076461791992, 'learning_rate': 1.702338129496403e-05, 'epoch': 6.6} -{'loss': 0.4267, 'grad_norm': 2.7795300483703613, 'learning_rate': 1.7014388489208634e-05, 'epoch': 6.6} -{'loss': 0.4185, 'grad_norm': 1.8694980144500732, 'learning_rate': 1.7005395683453238e-05, 'epoch': 6.61} -{'loss': 0.4211, 'grad_norm': 2.1425840854644775, 'learning_rate': 1.699640287769784e-05, 'epoch': 6.61} - 66%|████████████████████████████████████████████████████████████████████████████████████▏ | 3690/5570 [58:39<25:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42773544788360596, 'eval_runtime': 1.5348, 'eval_samples_per_second': 469.112, 'eval_steps_per_second': 3.909, 'epoch': 6.61} -{'loss': 0.4234, 'grad_norm': 1.4937292337417603, 'learning_rate': 1.698741007194245e-05, 'epoch': 6.61} -{'loss': 0.41, 'grad_norm': 2.820910930633545, 'learning_rate': 1.6978417266187053e-05, 'epoch': 6.61} -{'loss': 0.417, 'grad_norm': 1.9394763708114624, 'learning_rate': 1.6969424460431653e-05, 'epoch': 6.61} -{'loss': 0.4238, 'grad_norm': 3.8108069896698, 'learning_rate': 1.696043165467626e-05, 'epoch': 6.61} -{'loss': 0.4249, 'grad_norm': 5.290121078491211, 'learning_rate': 1.6951438848920864e-05, 'epoch': 6.62} -{'loss': 0.4223, 'grad_norm': 3.0004401206970215, 'learning_rate': 1.6942446043165468e-05, 'epoch': 6.62} -{'loss': 0.4174, 'grad_norm': 1.1832176446914673, 'learning_rate': 1.6933453237410075e-05, 'epoch': 6.62} -{'loss': 0.4284, 'grad_norm': 6.014634132385254, 'learning_rate': 1.6924460431654676e-05, 'epoch': 6.62} -{'loss': 0.4313, 'grad_norm': 6.602373123168945, 'learning_rate': 1.691546762589928e-05, 'epoch': 6.62} -{'loss': 0.4297, 'grad_norm': 4.974714279174805, 'learning_rate': 1.6906474820143887e-05, 'epoch': 6.62} - 66%|████████████████████████████████████████████████████████████████████████████████████▎ | 3700/5570 [58:48<25:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42770904302597046, 'eval_runtime': 1.5256, 'eval_samples_per_second': 471.947, 'eval_steps_per_second': 3.933, 'epoch': 6.62} -{'loss': 0.419, 'grad_norm': 1.6811469793319702, 'learning_rate': 1.689748201438849e-05, 'epoch': 6.63} -{'loss': 0.4237, 'grad_norm': 3.9625742435455322, 'learning_rate': 1.6888489208633094e-05, 'epoch': 6.63} -{'loss': 0.421, 'grad_norm': 4.3616790771484375, 'learning_rate': 1.6879496402877698e-05, 'epoch': 6.63} -{'loss': 0.4193, 'grad_norm': 2.692505121231079, 'learning_rate': 1.6870503597122302e-05, 'epoch': 6.63} -{'loss': 0.4276, 'grad_norm': 2.105226755142212, 'learning_rate': 1.686151079136691e-05, 'epoch': 6.63} -{'loss': 0.4205, 'grad_norm': 3.370913505554199, 'learning_rate': 1.6852517985611513e-05, 'epoch': 6.64} -{'loss': 0.4255, 'grad_norm': 4.8636274337768555, 'learning_rate': 1.6843525179856114e-05, 'epoch': 6.64} -{'loss': 0.4292, 'grad_norm': 4.802496910095215, 'learning_rate': 1.683453237410072e-05, 'epoch': 6.64} -{'loss': 0.4172, 'grad_norm': 1.7228754758834839, 'learning_rate': 1.6825539568345325e-05, 'epoch': 6.64} -{'loss': 0.4225, 'grad_norm': 3.1970455646514893, 'learning_rate': 1.681654676258993e-05, 'epoch': 6.64} - 67%|████████████████████████████████████████████████████████████████████████████████████▌ | 3710/5570 [58:58<25:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43345221877098083, 'eval_runtime': 1.5347, 'eval_samples_per_second': 469.139, 'eval_steps_per_second': 3.909, 'epoch': 6.64} -{'loss': 0.4279, 'grad_norm': 5.571964740753174, 'learning_rate': 1.6807553956834533e-05, 'epoch': 6.64} -{'loss': 0.4349, 'grad_norm': 7.124650001525879, 'learning_rate': 1.6798561151079136e-05, 'epoch': 6.65} -{'loss': 0.4222, 'grad_norm': 2.964289903640747, 'learning_rate': 1.678956834532374e-05, 'epoch': 6.65} -{'loss': 0.42, 'grad_norm': 1.437361478805542, 'learning_rate': 1.6780575539568347e-05, 'epoch': 6.65} -{'loss': 0.4268, 'grad_norm': 5.564322471618652, 'learning_rate': 1.677158273381295e-05, 'epoch': 6.65} -{'loss': 0.4171, 'grad_norm': 2.9005324840545654, 'learning_rate': 1.6762589928057555e-05, 'epoch': 6.65} -{'loss': 0.4205, 'grad_norm': 2.431302070617676, 'learning_rate': 1.675359712230216e-05, 'epoch': 6.66} -{'loss': 0.419, 'grad_norm': 3.2908153533935547, 'learning_rate': 1.6744604316546763e-05, 'epoch': 6.66} -{'loss': 0.4197, 'grad_norm': 4.1912007331848145, 'learning_rate': 1.673561151079137e-05, 'epoch': 6.66} -{'loss': 0.4136, 'grad_norm': 1.9430551528930664, 'learning_rate': 1.672661870503597e-05, 'epoch': 6.66} - 67%|████████████████████████████████████████████████████████████████████████████████████▊ | 3720/5570 [59:08<25:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4291371703147888, 'eval_runtime': 1.5256, 'eval_samples_per_second': 471.935, 'eval_steps_per_second': 3.933, 'epoch': 6.66} -{'loss': 0.4319, 'grad_norm': 1.6630703210830688, 'learning_rate': 1.6717625899280574e-05, 'epoch': 6.66} -{'loss': 0.4245, 'grad_norm': 2.037071466445923, 'learning_rate': 1.670863309352518e-05, 'epoch': 6.66} -{'loss': 0.4182, 'grad_norm': 3.3178043365478516, 'learning_rate': 1.6699640287769786e-05, 'epoch': 6.67} -{'loss': 0.4306, 'grad_norm': 3.048706531524658, 'learning_rate': 1.669064748201439e-05, 'epoch': 6.67} -{'loss': 0.4239, 'grad_norm': 2.850084066390991, 'learning_rate': 1.6681654676258993e-05, 'epoch': 6.67} -{'loss': 0.4219, 'grad_norm': 2.3991973400115967, 'learning_rate': 1.6672661870503597e-05, 'epoch': 6.67} -{'loss': 0.4259, 'grad_norm': 3.182077169418335, 'learning_rate': 1.66636690647482e-05, 'epoch': 6.67} -{'loss': 0.4194, 'grad_norm': 1.834399938583374, 'learning_rate': 1.6654676258992808e-05, 'epoch': 6.68} -{'loss': 0.4163, 'grad_norm': 1.6946545839309692, 'learning_rate': 1.664568345323741e-05, 'epoch': 6.68} -{'loss': 0.4134, 'grad_norm': 2.8195953369140625, 'learning_rate': 1.6636690647482016e-05, 'epoch': 6.68} - 67%|█████████████████████████████████████████████████████████████████████████████████████ | 3730/5570 [59:17<24:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42783626914024353, 'eval_runtime': 1.5427, 'eval_samples_per_second': 466.709, 'eval_steps_per_second': 3.889, 'epoch': 6.68} -{'loss': 0.4164, 'grad_norm': 2.391265869140625, 'learning_rate': 1.662769784172662e-05, 'epoch': 6.68} -{'loss': 0.4203, 'grad_norm': 2.314588785171509, 'learning_rate': 1.6618705035971224e-05, 'epoch': 6.68} -{'loss': 0.4215, 'grad_norm': 2.9161558151245117, 'learning_rate': 1.660971223021583e-05, 'epoch': 6.68} -{'loss': 0.4248, 'grad_norm': 2.747025489807129, 'learning_rate': 1.660071942446043e-05, 'epoch': 6.69} -{'loss': 0.4212, 'grad_norm': 2.3519763946533203, 'learning_rate': 1.6591726618705035e-05, 'epoch': 6.69} -{'loss': 0.4142, 'grad_norm': 2.7713327407836914, 'learning_rate': 1.6582733812949642e-05, 'epoch': 6.69} -{'loss': 0.4184, 'grad_norm': 2.4005439281463623, 'learning_rate': 1.6573741007194246e-05, 'epoch': 6.69} -{'loss': 0.4158, 'grad_norm': 1.5443081855773926, 'learning_rate': 1.656474820143885e-05, 'epoch': 6.69} -{'loss': 0.4213, 'grad_norm': 1.9083324670791626, 'learning_rate': 1.6555755395683454e-05, 'epoch': 6.69} -{'loss': 0.4096, 'grad_norm': 1.0571941137313843, 'learning_rate': 1.6546762589928058e-05, 'epoch': 6.7} - 67%|█████████████████████████████████████████████████████████████████████████████████████▎ | 3740/5570 [59:27<24:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4255162179470062, 'eval_runtime': 1.5633, 'eval_samples_per_second': 460.564, 'eval_steps_per_second': 3.838, 'epoch': 6.7} -{'loss': 0.4173, 'grad_norm': 1.6178568601608276, 'learning_rate': 1.653776978417266e-05, 'epoch': 6.7} -{'loss': 0.4231, 'grad_norm': 2.4838969707489014, 'learning_rate': 1.652877697841727e-05, 'epoch': 6.7} -{'loss': 0.4165, 'grad_norm': 1.259753942489624, 'learning_rate': 1.651978417266187e-05, 'epoch': 6.7} -{'loss': 0.4188, 'grad_norm': 1.4932492971420288, 'learning_rate': 1.6510791366906477e-05, 'epoch': 6.7} -{'loss': 0.415, 'grad_norm': 1.6649324893951416, 'learning_rate': 1.650179856115108e-05, 'epoch': 6.71} -{'loss': 0.4124, 'grad_norm': 1.7690489292144775, 'learning_rate': 1.6492805755395684e-05, 'epoch': 6.71} -{'loss': 0.4269, 'grad_norm': 2.6784679889678955, 'learning_rate': 1.6483812949640288e-05, 'epoch': 6.71} -{'loss': 0.4218, 'grad_norm': 1.140781044960022, 'learning_rate': 1.6474820143884892e-05, 'epoch': 6.71} -{'loss': 0.4272, 'grad_norm': 3.292198657989502, 'learning_rate': 1.6465827338129496e-05, 'epoch': 6.71} -{'loss': 0.4145, 'grad_norm': 3.067131996154785, 'learning_rate': 1.6456834532374103e-05, 'epoch': 6.71} - 67%|█████████████████████████████████████████████████████████████████████████████████████▌ | 3750/5570 [59:36<24:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4258884787559509, 'eval_runtime': 1.5539, 'eval_samples_per_second': 463.354, 'eval_steps_per_second': 3.861, 'epoch': 6.71} -{'loss': 0.4169, 'grad_norm': 1.272628903388977, 'learning_rate': 1.6447841726618707e-05, 'epoch': 6.72} -{'loss': 0.416, 'grad_norm': 1.600087285041809, 'learning_rate': 1.6438848920863307e-05, 'epoch': 6.72} -{'loss': 0.4197, 'grad_norm': 3.5816173553466797, 'learning_rate': 1.6429856115107915e-05, 'epoch': 6.72} -{'loss': 0.4203, 'grad_norm': 3.03861141204834, 'learning_rate': 1.642086330935252e-05, 'epoch': 6.72} -{'loss': 0.417, 'grad_norm': 1.4874818325042725, 'learning_rate': 1.6411870503597122e-05, 'epoch': 6.72} -{'loss': 0.4187, 'grad_norm': 3.2658021450042725, 'learning_rate': 1.640287769784173e-05, 'epoch': 6.73} -{'loss': 0.4178, 'grad_norm': 2.9266695976257324, 'learning_rate': 1.639388489208633e-05, 'epoch': 6.73} -{'loss': 0.4155, 'grad_norm': 1.2699335813522339, 'learning_rate': 1.6384892086330937e-05, 'epoch': 6.73} -{'loss': 0.4296, 'grad_norm': 3.599323272705078, 'learning_rate': 1.637589928057554e-05, 'epoch': 6.73} -{'loss': 0.4241, 'grad_norm': 2.8709628582000732, 'learning_rate': 1.6366906474820145e-05, 'epoch': 6.73} - 68%|█████████████████████████████████████████████████████████████████████████████████████▋ | 3760/5570 [59:46<24:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42849522829055786, 'eval_runtime': 1.525, 'eval_samples_per_second': 472.126, 'eval_steps_per_second': 3.934, 'epoch': 6.73} -{'loss': 0.4229, 'grad_norm': 3.1636850833892822, 'learning_rate': 1.635791366906475e-05, 'epoch': 6.73} -{'loss': 0.4177, 'grad_norm': 1.7177014350891113, 'learning_rate': 1.6348920863309353e-05, 'epoch': 6.74} -{'loss': 0.4185, 'grad_norm': 2.4937260150909424, 'learning_rate': 1.6339928057553957e-05, 'epoch': 6.74} -{'loss': 0.4221, 'grad_norm': 2.1877212524414062, 'learning_rate': 1.6330935251798564e-05, 'epoch': 6.74} -{'loss': 0.4161, 'grad_norm': 1.7161781787872314, 'learning_rate': 1.6321942446043168e-05, 'epoch': 6.74} -{'loss': 0.4239, 'grad_norm': 2.1681861877441406, 'learning_rate': 1.6312949640287768e-05, 'epoch': 6.74} -{'loss': 0.4216, 'grad_norm': 1.6166174411773682, 'learning_rate': 1.6303956834532375e-05, 'epoch': 6.75} -{'loss': 0.4132, 'grad_norm': 1.334566593170166, 'learning_rate': 1.629496402877698e-05, 'epoch': 6.75} -{'loss': 0.4169, 'grad_norm': 1.744544506072998, 'learning_rate': 1.6285971223021583e-05, 'epoch': 6.75} -{'loss': 0.4131, 'grad_norm': 1.3946776390075684, 'learning_rate': 1.6276978417266187e-05, 'epoch': 6.75} - 68%|█████████████████████████████████████████████████████████████████████████████████████▉ | 3770/5570 [59:55<24:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4269823729991913, 'eval_runtime': 1.5639, 'eval_samples_per_second': 460.393, 'eval_steps_per_second': 3.837, 'epoch': 6.75} -{'loss': 0.409, 'grad_norm': 1.3088438510894775, 'learning_rate': 1.626798561151079e-05, 'epoch': 6.75} -{'loss': 0.4211, 'grad_norm': 3.1234071254730225, 'learning_rate': 1.6258992805755395e-05, 'epoch': 6.75} -{'loss': 0.4342, 'grad_norm': 5.77149772644043, 'learning_rate': 1.6250000000000002e-05, 'epoch': 6.76} -{'loss': 0.4246, 'grad_norm': 3.3655147552490234, 'learning_rate': 1.6241007194244606e-05, 'epoch': 6.76} -{'loss': 0.4221, 'grad_norm': 2.604175090789795, 'learning_rate': 1.623201438848921e-05, 'epoch': 6.76} -{'loss': 0.4309, 'grad_norm': 3.1182734966278076, 'learning_rate': 1.6223021582733814e-05, 'epoch': 6.76} -{'loss': 0.4231, 'grad_norm': 3.146418333053589, 'learning_rate': 1.6214028776978417e-05, 'epoch': 6.76} -{'loss': 0.4185, 'grad_norm': 1.9594637155532837, 'learning_rate': 1.6205035971223025e-05, 'epoch': 6.76} -{'loss': 0.4236, 'grad_norm': 1.717273473739624, 'learning_rate': 1.6196043165467625e-05, 'epoch': 6.77} -{'loss': 0.4328, 'grad_norm': 3.1299853324890137, 'learning_rate': 1.618705035971223e-05, 'epoch': 6.77} - 68%|████████████████████████████████████████████████████████████████████████████████████▊ | 3780/5570 [1:00:05<24:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4299982786178589, 'eval_runtime': 1.5471, 'eval_samples_per_second': 465.401, 'eval_steps_per_second': 3.878, 'epoch': 6.77} -{'loss': 0.4316, 'grad_norm': 3.3984556198120117, 'learning_rate': 1.6178057553956836e-05, 'epoch': 6.77} -{'loss': 0.4191, 'grad_norm': 3.5549392700195312, 'learning_rate': 1.616906474820144e-05, 'epoch': 6.77} -{'loss': 0.4156, 'grad_norm': 1.8118609189987183, 'learning_rate': 1.6160071942446044e-05, 'epoch': 6.77} -{'loss': 0.4257, 'grad_norm': 4.822366237640381, 'learning_rate': 1.6151079136690648e-05, 'epoch': 6.78} -{'loss': 0.4187, 'grad_norm': 4.64895486831665, 'learning_rate': 1.614208633093525e-05, 'epoch': 6.78} -{'loss': 0.4232, 'grad_norm': 3.8803138732910156, 'learning_rate': 1.6133093525179855e-05, 'epoch': 6.78} -{'loss': 0.4274, 'grad_norm': 2.5193307399749756, 'learning_rate': 1.6124100719424463e-05, 'epoch': 6.78} -{'loss': 0.4256, 'grad_norm': 1.7081067562103271, 'learning_rate': 1.6115107913669063e-05, 'epoch': 6.78} -{'loss': 0.4239, 'grad_norm': 3.39422607421875, 'learning_rate': 1.610611510791367e-05, 'epoch': 6.78} -{'loss': 0.4248, 'grad_norm': 2.6935887336730957, 'learning_rate': 1.6097122302158274e-05, 'epoch': 6.79} - 68%|█████████████████████████████████████████████████████████████████████████████████████ | 3790/5570 [1:00:15<24:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42699822783470154, 'eval_runtime': 1.5394, 'eval_samples_per_second': 467.718, 'eval_steps_per_second': 3.898, 'epoch': 6.79} -{'loss': 0.4132, 'grad_norm': 1.8929864168167114, 'learning_rate': 1.6088129496402878e-05, 'epoch': 6.79} -{'loss': 0.4168, 'grad_norm': 1.8920689821243286, 'learning_rate': 1.6079136690647485e-05, 'epoch': 6.79} -{'loss': 0.4098, 'grad_norm': 1.988124966621399, 'learning_rate': 1.6070143884892086e-05, 'epoch': 6.79} -{'loss': 0.4191, 'grad_norm': 4.04727840423584, 'learning_rate': 1.606115107913669e-05, 'epoch': 6.79} -{'loss': 0.4209, 'grad_norm': 2.981102466583252, 'learning_rate': 1.6052158273381297e-05, 'epoch': 6.8} -{'loss': 0.4202, 'grad_norm': 1.9908124208450317, 'learning_rate': 1.60431654676259e-05, 'epoch': 6.8} -{'loss': 0.4213, 'grad_norm': 2.290773391723633, 'learning_rate': 1.6034172661870505e-05, 'epoch': 6.8} -{'loss': 0.4186, 'grad_norm': 2.718292713165283, 'learning_rate': 1.602517985611511e-05, 'epoch': 6.8} -{'loss': 0.4234, 'grad_norm': 2.414612054824829, 'learning_rate': 1.6016187050359712e-05, 'epoch': 6.8} -{'loss': 0.4281, 'grad_norm': 2.564167022705078, 'learning_rate': 1.6007194244604316e-05, 'epoch': 6.8} - 68%|█████████████████████████████████████████████████████████████████████████████████████▎ | 3800/5570 [1:00:24<23:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.427449107170105, 'eval_runtime': 1.523, 'eval_samples_per_second': 472.747, 'eval_steps_per_second': 3.94, 'epoch': 6.8} -{'loss': 0.4178, 'grad_norm': 3.4346768856048584, 'learning_rate': 1.5998201438848923e-05, 'epoch': 6.81} -{'loss': 0.4242, 'grad_norm': 4.171464920043945, 'learning_rate': 1.5989208633093524e-05, 'epoch': 6.81} -{'loss': 0.4159, 'grad_norm': 2.230069637298584, 'learning_rate': 1.598021582733813e-05, 'epoch': 6.81} -{'loss': 0.4156, 'grad_norm': 2.370462417602539, 'learning_rate': 1.5971223021582735e-05, 'epoch': 6.81} -{'loss': 0.4286, 'grad_norm': 3.4741525650024414, 'learning_rate': 1.596223021582734e-05, 'epoch': 6.81} -{'loss': 0.4302, 'grad_norm': 3.0872697830200195, 'learning_rate': 1.5953237410071946e-05, 'epoch': 6.82} -{'loss': 0.4196, 'grad_norm': 2.001255750656128, 'learning_rate': 1.5944244604316547e-05, 'epoch': 6.82} -{'loss': 0.4161, 'grad_norm': 1.8984321355819702, 'learning_rate': 1.593525179856115e-05, 'epoch': 6.82} -{'loss': 0.4275, 'grad_norm': 3.1671793460845947, 'learning_rate': 1.5926258992805758e-05, 'epoch': 6.82} -{'loss': 0.4121, 'grad_norm': 2.2037911415100098, 'learning_rate': 1.591726618705036e-05, 'epoch': 6.82} - 68%|█████████████████████████████████████████████████████████████████████████████████████▌ | 3810/5570 [1:00:34<24:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4263801574707031, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.024, 'eval_steps_per_second': 3.934, 'epoch': 6.82} -{'loss': 0.415, 'grad_norm': 1.2681738138198853, 'learning_rate': 1.5908273381294962e-05, 'epoch': 6.82} -{'loss': 0.4193, 'grad_norm': 1.799351453781128, 'learning_rate': 1.589928057553957e-05, 'epoch': 6.83} -{'loss': 0.4232, 'grad_norm': 1.6634912490844727, 'learning_rate': 1.5890287769784173e-05, 'epoch': 6.83} -{'loss': 0.4269, 'grad_norm': 2.626819133758545, 'learning_rate': 1.5881294964028777e-05, 'epoch': 6.83} -{'loss': 0.4228, 'grad_norm': 2.433786153793335, 'learning_rate': 1.5872302158273384e-05, 'epoch': 6.83} -{'loss': 0.4136, 'grad_norm': 1.58621346950531, 'learning_rate': 1.5863309352517985e-05, 'epoch': 6.83} -{'loss': 0.4246, 'grad_norm': 3.224308490753174, 'learning_rate': 1.5854316546762592e-05, 'epoch': 6.83} -{'loss': 0.4234, 'grad_norm': 2.3086118698120117, 'learning_rate': 1.5845323741007196e-05, 'epoch': 6.84} -{'loss': 0.4206, 'grad_norm': 2.213289260864258, 'learning_rate': 1.58363309352518e-05, 'epoch': 6.84} -{'loss': 0.4163, 'grad_norm': 1.62125563621521, 'learning_rate': 1.5827338129496403e-05, 'epoch': 6.84} - 69%|█████████████████████████████████████████████████████████████████████████████████████▋ | 3820/5570 [1:00:43<23:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42598220705986023, 'eval_runtime': 1.5256, 'eval_samples_per_second': 471.957, 'eval_steps_per_second': 3.933, 'epoch': 6.84} -{'loss': 0.4291, 'grad_norm': 2.4702794551849365, 'learning_rate': 1.5818345323741007e-05, 'epoch': 6.84} -{'loss': 0.4198, 'grad_norm': 1.639386773109436, 'learning_rate': 1.580935251798561e-05, 'epoch': 6.84} -{'loss': 0.4126, 'grad_norm': 1.8307201862335205, 'learning_rate': 1.580035971223022e-05, 'epoch': 6.85} -{'loss': 0.4192, 'grad_norm': 3.3857648372650146, 'learning_rate': 1.5791366906474822e-05, 'epoch': 6.85} -{'loss': 0.4217, 'grad_norm': 2.00722074508667, 'learning_rate': 1.5782374100719423e-05, 'epoch': 6.85} -{'loss': 0.4169, 'grad_norm': 2.0074596405029297, 'learning_rate': 1.577338129496403e-05, 'epoch': 6.85} -{'loss': 0.4184, 'grad_norm': 2.513331890106201, 'learning_rate': 1.5764388489208634e-05, 'epoch': 6.85} -{'loss': 0.4265, 'grad_norm': 2.008831739425659, 'learning_rate': 1.5755395683453238e-05, 'epoch': 6.85} -{'loss': 0.4233, 'grad_norm': 1.4565526247024536, 'learning_rate': 1.574640287769784e-05, 'epoch': 6.86} -{'loss': 0.4165, 'grad_norm': 1.303106665611267, 'learning_rate': 1.5737410071942445e-05, 'epoch': 6.86} - 69%|█████████████████████████████████████████████████████████████████████████████████████▉ | 3830/5570 [1:00:53<23:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4278603494167328, 'eval_runtime': 1.5147, 'eval_samples_per_second': 475.341, 'eval_steps_per_second': 3.961, 'epoch': 6.86} -{'loss': 0.4133, 'grad_norm': 2.645932674407959, 'learning_rate': 1.5728417266187053e-05, 'epoch': 6.86} -{'loss': 0.4258, 'grad_norm': 2.964130163192749, 'learning_rate': 1.5719424460431656e-05, 'epoch': 6.86} -{'loss': 0.4249, 'grad_norm': 1.7086354494094849, 'learning_rate': 1.571043165467626e-05, 'epoch': 6.86} -{'loss': 0.4218, 'grad_norm': 2.4305644035339355, 'learning_rate': 1.5701438848920864e-05, 'epoch': 6.87} -{'loss': 0.423, 'grad_norm': 1.4140623807907104, 'learning_rate': 1.5692446043165468e-05, 'epoch': 6.87} -{'loss': 0.4195, 'grad_norm': 1.6388074159622192, 'learning_rate': 1.5683453237410072e-05, 'epoch': 6.87} -{'loss': 0.4081, 'grad_norm': 1.7629046440124512, 'learning_rate': 1.567446043165468e-05, 'epoch': 6.87} -{'loss': 0.4195, 'grad_norm': 3.232076406478882, 'learning_rate': 1.566546762589928e-05, 'epoch': 6.87} -{'loss': 0.4196, 'grad_norm': 1.9719170331954956, 'learning_rate': 1.5656474820143883e-05, 'epoch': 6.87} -{'loss': 0.4254, 'grad_norm': 3.017744779586792, 'learning_rate': 1.564748201438849e-05, 'epoch': 6.88} - 69%|██████████████████████████████████████████████████████████████████████████████████████▏ | 3840/5570 [1:01:02<23:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4281407296657562, 'eval_runtime': 1.5197, 'eval_samples_per_second': 473.785, 'eval_steps_per_second': 3.948, 'epoch': 6.88} -{'loss': 0.4155, 'grad_norm': 3.6396617889404297, 'learning_rate': 1.5638489208633095e-05, 'epoch': 6.88} -{'loss': 0.4223, 'grad_norm': 2.0073063373565674, 'learning_rate': 1.56294964028777e-05, 'epoch': 6.88} -{'loss': 0.4218, 'grad_norm': 2.140103578567505, 'learning_rate': 1.5620503597122302e-05, 'epoch': 6.88} -{'loss': 0.4215, 'grad_norm': 2.0317749977111816, 'learning_rate': 1.5611510791366906e-05, 'epoch': 6.88} -{'loss': 0.4216, 'grad_norm': 1.2986432313919067, 'learning_rate': 1.5602517985611513e-05, 'epoch': 6.89} -{'loss': 0.4125, 'grad_norm': 2.5924556255340576, 'learning_rate': 1.5593525179856117e-05, 'epoch': 6.89} -{'loss': 0.414, 'grad_norm': 2.2387261390686035, 'learning_rate': 1.558453237410072e-05, 'epoch': 6.89} -{'loss': 0.4144, 'grad_norm': 2.9473071098327637, 'learning_rate': 1.5575539568345325e-05, 'epoch': 6.89} -{'loss': 0.4244, 'grad_norm': 2.8634254932403564, 'learning_rate': 1.556654676258993e-05, 'epoch': 6.89} -{'loss': 0.4158, 'grad_norm': 2.3508071899414062, 'learning_rate': 1.5557553956834533e-05, 'epoch': 6.89} - 69%|██████████████████████████████████████████████████████████████████████████████████████▍ | 3850/5570 [1:01:12<23:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42533642053604126, 'eval_runtime': 1.5336, 'eval_samples_per_second': 469.469, 'eval_steps_per_second': 3.912, 'epoch': 6.89} -{'loss': 0.4177, 'grad_norm': 2.656435966491699, 'learning_rate': 1.554856115107914e-05, 'epoch': 6.9} -{'loss': 0.4179, 'grad_norm': 1.1505639553070068, 'learning_rate': 1.553956834532374e-05, 'epoch': 6.9} -{'loss': 0.4234, 'grad_norm': 1.4739134311676025, 'learning_rate': 1.5530575539568344e-05, 'epoch': 6.9} -{'loss': 0.4235, 'grad_norm': 2.5180857181549072, 'learning_rate': 1.552158273381295e-05, 'epoch': 6.9} -{'loss': 0.4171, 'grad_norm': 3.0109126567840576, 'learning_rate': 1.5512589928057555e-05, 'epoch': 6.9} -{'loss': 0.4147, 'grad_norm': 1.9177520275115967, 'learning_rate': 1.550359712230216e-05, 'epoch': 6.9} -{'loss': 0.4195, 'grad_norm': 2.6149179935455322, 'learning_rate': 1.5494604316546763e-05, 'epoch': 6.91} -{'loss': 0.43, 'grad_norm': 2.5303916931152344, 'learning_rate': 1.5485611510791367e-05, 'epoch': 6.91} -{'loss': 0.4216, 'grad_norm': 2.759251356124878, 'learning_rate': 1.547661870503597e-05, 'epoch': 6.91} -{'loss': 0.4157, 'grad_norm': 1.8479483127593994, 'learning_rate': 1.5467625899280578e-05, 'epoch': 6.91} - 69%|██████████████████████████████████████████████████████████████████████████████████████▌ | 3860/5570 [1:01:21<23:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42926543951034546, 'eval_runtime': 1.5203, 'eval_samples_per_second': 473.577, 'eval_steps_per_second': 3.946, 'epoch': 6.91} -{'loss': 0.4153, 'grad_norm': 3.5399465560913086, 'learning_rate': 1.545863309352518e-05, 'epoch': 6.91} -{'loss': 0.4147, 'grad_norm': 1.6962381601333618, 'learning_rate': 1.5449640287769786e-05, 'epoch': 6.92} -{'loss': 0.4245, 'grad_norm': 2.4774117469787598, 'learning_rate': 1.544064748201439e-05, 'epoch': 6.92} -{'loss': 0.4197, 'grad_norm': 3.2300100326538086, 'learning_rate': 1.5431654676258993e-05, 'epoch': 6.92} -{'loss': 0.4159, 'grad_norm': 1.5426182746887207, 'learning_rate': 1.54226618705036e-05, 'epoch': 6.92} -{'loss': 0.4146, 'grad_norm': 1.84896981716156, 'learning_rate': 1.54136690647482e-05, 'epoch': 6.92} -{'loss': 0.4203, 'grad_norm': 2.2140166759490967, 'learning_rate': 1.5404676258992805e-05, 'epoch': 6.92} -{'loss': 0.419, 'grad_norm': 2.399172067642212, 'learning_rate': 1.5395683453237412e-05, 'epoch': 6.93} -{'loss': 0.4222, 'grad_norm': 1.6830856800079346, 'learning_rate': 1.5386690647482016e-05, 'epoch': 6.93} -{'loss': 0.4141, 'grad_norm': 1.8412292003631592, 'learning_rate': 1.537769784172662e-05, 'epoch': 6.93} - 69%|██████████████████████████████████████████████████████████████████████████████████████▊ | 3870/5570 [1:01:31<23:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42480459809303284, 'eval_runtime': 1.5289, 'eval_samples_per_second': 470.925, 'eval_steps_per_second': 3.924, 'epoch': 6.93} -{'loss': 0.4264, 'grad_norm': 1.8746179342269897, 'learning_rate': 1.5368705035971224e-05, 'epoch': 6.93} -{'loss': 0.4199, 'grad_norm': 1.8185251951217651, 'learning_rate': 1.5359712230215828e-05, 'epoch': 6.93} -{'loss': 0.4174, 'grad_norm': 2.462388753890991, 'learning_rate': 1.535071942446043e-05, 'epoch': 6.94} -{'loss': 0.426, 'grad_norm': 3.525604486465454, 'learning_rate': 1.534172661870504e-05, 'epoch': 6.94} -{'loss': 0.4258, 'grad_norm': 2.6602072715759277, 'learning_rate': 1.533273381294964e-05, 'epoch': 6.94} -{'loss': 0.42, 'grad_norm': 3.501207113265991, 'learning_rate': 1.5323741007194246e-05, 'epoch': 6.94} -{'loss': 0.4144, 'grad_norm': 3.3442788124084473, 'learning_rate': 1.531474820143885e-05, 'epoch': 6.94} -{'loss': 0.4219, 'grad_norm': 1.933436632156372, 'learning_rate': 1.5305755395683454e-05, 'epoch': 6.94} -{'loss': 0.4272, 'grad_norm': 3.144710063934326, 'learning_rate': 1.5296762589928058e-05, 'epoch': 6.95} -{'loss': 0.4251, 'grad_norm': 2.280604362487793, 'learning_rate': 1.5287769784172662e-05, 'epoch': 6.95} - 70%|███████████████████████████████████████████████████████████████████████████████████████ | 3880/5570 [1:01:40<23:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4282670021057129, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.725, 'eval_steps_per_second': 3.914, 'epoch': 6.95} -{'loss': 0.4131, 'grad_norm': 3.1092281341552734, 'learning_rate': 1.5278776978417266e-05, 'epoch': 6.95} -{'loss': 0.4222, 'grad_norm': 3.744035482406616, 'learning_rate': 1.5269784172661873e-05, 'epoch': 6.95} -{'loss': 0.4192, 'grad_norm': 2.073028326034546, 'learning_rate': 1.5260791366906477e-05, 'epoch': 6.95} -{'loss': 0.4113, 'grad_norm': 2.188101053237915, 'learning_rate': 1.5251798561151079e-05, 'epoch': 6.96} -{'loss': 0.42, 'grad_norm': 4.150160312652588, 'learning_rate': 1.5242805755395684e-05, 'epoch': 6.96} -{'loss': 0.4303, 'grad_norm': 2.8902957439422607, 'learning_rate': 1.5233812949640288e-05, 'epoch': 6.96} -{'loss': 0.4279, 'grad_norm': 1.4351965188980103, 'learning_rate': 1.5224820143884894e-05, 'epoch': 6.96} -{'loss': 0.4163, 'grad_norm': 1.765854001045227, 'learning_rate': 1.5215827338129496e-05, 'epoch': 6.96} -{'loss': 0.4206, 'grad_norm': 1.4604260921478271, 'learning_rate': 1.52068345323741e-05, 'epoch': 6.96} -{'loss': 0.416, 'grad_norm': 2.1397628784179688, 'learning_rate': 1.5197841726618705e-05, 'epoch': 6.97} - 70%|███████████████████████████████████████████████████████████████████████████████████████▎ | 3890/5570 [1:01:50<22:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.424726277589798, 'eval_runtime': 1.5248, 'eval_samples_per_second': 472.199, 'eval_steps_per_second': 3.935, 'epoch': 6.97} -{'loss': 0.414, 'grad_norm': 2.3681159019470215, 'learning_rate': 1.5188848920863311e-05, 'epoch': 6.97} -{'loss': 0.4155, 'grad_norm': 1.1976244449615479, 'learning_rate': 1.5179856115107915e-05, 'epoch': 6.97} -{'loss': 0.4176, 'grad_norm': 2.2656641006469727, 'learning_rate': 1.5170863309352517e-05, 'epoch': 6.97} -{'loss': 0.4059, 'grad_norm': 2.825850009918213, 'learning_rate': 1.5161870503597123e-05, 'epoch': 6.97} -{'loss': 0.4206, 'grad_norm': 2.0301876068115234, 'learning_rate': 1.5152877697841728e-05, 'epoch': 6.97} -{'loss': 0.4139, 'grad_norm': 2.85507869720459, 'learning_rate': 1.5143884892086332e-05, 'epoch': 6.98} -{'loss': 0.4155, 'grad_norm': 2.6617681980133057, 'learning_rate': 1.5134892086330937e-05, 'epoch': 6.98} -{'loss': 0.4182, 'grad_norm': 2.1179656982421875, 'learning_rate': 1.512589928057554e-05, 'epoch': 6.98} -{'loss': 0.4222, 'grad_norm': 1.9003180265426636, 'learning_rate': 1.5116906474820145e-05, 'epoch': 6.98} -{'loss': 0.4215, 'grad_norm': 3.696571111679077, 'learning_rate': 1.5107913669064749e-05, 'epoch': 6.98} - 70%|███████████████████████████████████████████████████████████████████████████████████████▌ | 3900/5570 [1:01:59<19:25, 1.43it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4259103238582611, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.016, 'eval_steps_per_second': 3.925, 'epoch': 6.98} -{'loss': 0.4167, 'grad_norm': 3.37054705619812, 'learning_rate': 1.5098920863309355e-05, 'epoch': 6.99} -{'loss': 0.4182, 'grad_norm': 2.2897822856903076, 'learning_rate': 1.5089928057553957e-05, 'epoch': 6.99} -{'loss': 0.4228, 'grad_norm': 2.4248223304748535, 'learning_rate': 1.508093525179856e-05, 'epoch': 6.99} -{'loss': 0.4162, 'grad_norm': 3.558964729309082, 'learning_rate': 1.5071942446043166e-05, 'epoch': 6.99} -{'loss': 0.4262, 'grad_norm': 1.5865134000778198, 'learning_rate': 1.5062949640287772e-05, 'epoch': 6.99} -{'loss': 0.4214, 'grad_norm': 2.7624459266662598, 'learning_rate': 1.5053956834532376e-05, 'epoch': 6.99} -{'loss': 0.4264, 'grad_norm': 2.0709550380706787, 'learning_rate': 1.5044964028776978e-05, 'epoch': 7.0} -{'loss': 0.4223, 'grad_norm': 1.4570114612579346, 'learning_rate': 1.5035971223021583e-05, 'epoch': 7.0} -{'loss': 0.426, 'grad_norm': 3.0707781314849854, 'learning_rate': 1.5026978417266189e-05, 'epoch': 7.0} -{'loss': 0.4048, 'grad_norm': 2.7499680519104004, 'learning_rate': 1.5017985611510793e-05, 'epoch': 7.0} - 70%|███████████████████████████████████████████████████████████████████████████████████████▋ | 3910/5570 [1:02:08<22:14, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4243624806404114, 'eval_runtime': 1.5159, 'eval_samples_per_second': 474.954, 'eval_steps_per_second': 3.958, 'epoch': 7.0} -{'loss': 0.4135, 'grad_norm': 1.8292036056518555, 'learning_rate': 1.5008992805755395e-05, 'epoch': 7.0} -{'loss': 0.4168, 'grad_norm': 3.322838306427002, 'learning_rate': 1.5e-05, 'epoch': 7.01} -{'loss': 0.4151, 'grad_norm': 4.419776916503906, 'learning_rate': 1.4991007194244606e-05, 'epoch': 7.01} -{'loss': 0.4155, 'grad_norm': 3.245370864868164, 'learning_rate': 1.498201438848921e-05, 'epoch': 7.01} -{'loss': 0.4218, 'grad_norm': 4.127900123596191, 'learning_rate': 1.4973021582733815e-05, 'epoch': 7.01} -{'loss': 0.4201, 'grad_norm': 3.3074214458465576, 'learning_rate': 1.4964028776978417e-05, 'epoch': 7.01} -{'loss': 0.4111, 'grad_norm': 3.6142308712005615, 'learning_rate': 1.4955035971223021e-05, 'epoch': 7.01} -{'loss': 0.4096, 'grad_norm': 1.8885520696640015, 'learning_rate': 1.4946043165467627e-05, 'epoch': 7.02} -{'loss': 0.4234, 'grad_norm': 4.974613666534424, 'learning_rate': 1.4937050359712232e-05, 'epoch': 7.02} -{'loss': 0.418, 'grad_norm': 3.6480844020843506, 'learning_rate': 1.4928057553956835e-05, 'epoch': 7.02} - 70%|███████████████████████████████████████████████████████████████████████████████████████▉ | 3920/5570 [1:02:18<22:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42788535356521606, 'eval_runtime': 1.5316, 'eval_samples_per_second': 470.085, 'eval_steps_per_second': 3.917, 'epoch': 7.02} -{'loss': 0.4184, 'grad_norm': 3.651738166809082, 'learning_rate': 1.4919064748201438e-05, 'epoch': 7.02} -{'loss': 0.413, 'grad_norm': 2.2498557567596436, 'learning_rate': 1.4910071942446044e-05, 'epoch': 7.02} -{'loss': 0.4059, 'grad_norm': 1.1679993867874146, 'learning_rate': 1.490107913669065e-05, 'epoch': 7.03} -{'loss': 0.4177, 'grad_norm': 3.3925116062164307, 'learning_rate': 1.4892086330935253e-05, 'epoch': 7.03} -{'loss': 0.4095, 'grad_norm': 2.9681243896484375, 'learning_rate': 1.4883093525179856e-05, 'epoch': 7.03} -{'loss': 0.4071, 'grad_norm': 4.270723819732666, 'learning_rate': 1.4874100719424461e-05, 'epoch': 7.03} -{'loss': 0.4083, 'grad_norm': 1.2356433868408203, 'learning_rate': 1.4865107913669065e-05, 'epoch': 7.03} -{'loss': 0.4113, 'grad_norm': 3.476759672164917, 'learning_rate': 1.485611510791367e-05, 'epoch': 7.03} -{'loss': 0.4196, 'grad_norm': 3.8288025856018066, 'learning_rate': 1.4847122302158273e-05, 'epoch': 7.04} -{'loss': 0.4214, 'grad_norm': 3.1955652236938477, 'learning_rate': 1.4838129496402878e-05, 'epoch': 7.04} - 71%|████████████████████████████████████████████████████████████████████████████████████████▏ | 3930/5570 [1:02:28<22:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42587652802467346, 'eval_runtime': 1.5315, 'eval_samples_per_second': 470.124, 'eval_steps_per_second': 3.918, 'epoch': 7.04} -{'loss': 0.4132, 'grad_norm': 1.867762804031372, 'learning_rate': 1.4829136690647482e-05, 'epoch': 7.04} -{'loss': 0.4159, 'grad_norm': 3.560936450958252, 'learning_rate': 1.4820143884892088e-05, 'epoch': 7.04} -{'loss': 0.4192, 'grad_norm': 3.7618887424468994, 'learning_rate': 1.4811151079136693e-05, 'epoch': 7.04} -{'loss': 0.4172, 'grad_norm': 3.520805597305298, 'learning_rate': 1.4802158273381295e-05, 'epoch': 7.04} -{'loss': 0.4126, 'grad_norm': 1.7825143337249756, 'learning_rate': 1.47931654676259e-05, 'epoch': 7.05} -{'loss': 0.4143, 'grad_norm': 1.9244602918624878, 'learning_rate': 1.4784172661870505e-05, 'epoch': 7.05} -{'loss': 0.4218, 'grad_norm': 2.142423391342163, 'learning_rate': 1.477517985611511e-05, 'epoch': 7.05} -{'loss': 0.4246, 'grad_norm': 3.089083671569824, 'learning_rate': 1.4766187050359712e-05, 'epoch': 7.05} -{'loss': 0.4185, 'grad_norm': 1.6805648803710938, 'learning_rate': 1.4757194244604316e-05, 'epoch': 7.05} -{'loss': 0.4088, 'grad_norm': 1.7690038681030273, 'learning_rate': 1.4748201438848922e-05, 'epoch': 7.06} - 71%|████████████████████████████████████████████████████████████████████████████████████████▍ | 3940/5570 [1:02:37<21:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4252871572971344, 'eval_runtime': 1.5241, 'eval_samples_per_second': 472.408, 'eval_steps_per_second': 3.937, 'epoch': 7.06} -{'loss': 0.4129, 'grad_norm': 3.082321882247925, 'learning_rate': 1.4739208633093526e-05, 'epoch': 7.06} -{'loss': 0.422, 'grad_norm': 1.6895086765289307, 'learning_rate': 1.4730215827338131e-05, 'epoch': 7.06} -{'loss': 0.4147, 'grad_norm': 1.315221905708313, 'learning_rate': 1.4721223021582733e-05, 'epoch': 7.06} -{'loss': 0.4083, 'grad_norm': 1.9751487970352173, 'learning_rate': 1.4712230215827339e-05, 'epoch': 7.06} -{'loss': 0.4065, 'grad_norm': 1.866738200187683, 'learning_rate': 1.4703237410071943e-05, 'epoch': 7.06} -{'loss': 0.4141, 'grad_norm': 2.017411708831787, 'learning_rate': 1.4694244604316548e-05, 'epoch': 7.07} -{'loss': 0.409, 'grad_norm': 2.8503899574279785, 'learning_rate': 1.468525179856115e-05, 'epoch': 7.07} -{'loss': 0.4067, 'grad_norm': 1.4678231477737427, 'learning_rate': 1.4676258992805756e-05, 'epoch': 7.07} -{'loss': 0.414, 'grad_norm': 3.047302722930908, 'learning_rate': 1.466726618705036e-05, 'epoch': 7.07} -{'loss': 0.4132, 'grad_norm': 2.430164098739624, 'learning_rate': 1.4658273381294965e-05, 'epoch': 7.07} - 71%|████████████████████████████████████████████████████████████████████████████████████████▋ | 3950/5570 [1:02:47<21:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42480772733688354, 'eval_runtime': 1.5268, 'eval_samples_per_second': 471.571, 'eval_steps_per_second': 3.93, 'epoch': 7.07} -{'loss': 0.4214, 'grad_norm': 2.2886431217193604, 'learning_rate': 1.464928057553957e-05, 'epoch': 7.08} -{'loss': 0.4082, 'grad_norm': 1.882091760635376, 'learning_rate': 1.4640287769784171e-05, 'epoch': 7.08} -{'loss': 0.4137, 'grad_norm': 1.7323806285858154, 'learning_rate': 1.4631294964028777e-05, 'epoch': 7.08} -{'loss': 0.4196, 'grad_norm': 1.8168026208877563, 'learning_rate': 1.4622302158273383e-05, 'epoch': 7.08} -{'loss': 0.4103, 'grad_norm': 2.819592237472534, 'learning_rate': 1.4613309352517986e-05, 'epoch': 7.08} -{'loss': 0.4178, 'grad_norm': 2.834440231323242, 'learning_rate': 1.4604316546762592e-05, 'epoch': 7.08} -{'loss': 0.4058, 'grad_norm': 2.498753786087036, 'learning_rate': 1.4595323741007194e-05, 'epoch': 7.09} -{'loss': 0.4126, 'grad_norm': 2.7016656398773193, 'learning_rate': 1.45863309352518e-05, 'epoch': 7.09} -{'loss': 0.4136, 'grad_norm': 1.9581090211868286, 'learning_rate': 1.4577338129496404e-05, 'epoch': 7.09} -{'loss': 0.4101, 'grad_norm': 1.9611512422561646, 'learning_rate': 1.4568345323741009e-05, 'epoch': 7.09} - 71%|████████████████████████████████████████████████████████████████████████████████████████▊ | 3960/5570 [1:02:56<22:10, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42853012681007385, 'eval_runtime': 1.5299, 'eval_samples_per_second': 470.612, 'eval_steps_per_second': 3.922, 'epoch': 7.09} -{'loss': 0.4196, 'grad_norm': 2.1976606845855713, 'learning_rate': 1.4559352517985611e-05, 'epoch': 7.09} -{'loss': 0.4064, 'grad_norm': 3.047973155975342, 'learning_rate': 1.4550359712230217e-05, 'epoch': 7.1} -{'loss': 0.4156, 'grad_norm': 1.6943989992141724, 'learning_rate': 1.454136690647482e-05, 'epoch': 7.1} -{'loss': 0.4193, 'grad_norm': 2.4173216819763184, 'learning_rate': 1.4532374100719426e-05, 'epoch': 7.1} -{'loss': 0.4055, 'grad_norm': 3.8207173347473145, 'learning_rate': 1.452338129496403e-05, 'epoch': 7.1} -{'loss': 0.412, 'grad_norm': 4.207668304443359, 'learning_rate': 1.4514388489208632e-05, 'epoch': 7.1} -{'loss': 0.4071, 'grad_norm': 2.3137688636779785, 'learning_rate': 1.4505395683453238e-05, 'epoch': 7.1} -{'loss': 0.422, 'grad_norm': 2.44577693939209, 'learning_rate': 1.4496402877697843e-05, 'epoch': 7.11} -{'loss': 0.4204, 'grad_norm': 2.840311050415039, 'learning_rate': 1.4487410071942447e-05, 'epoch': 7.11} -{'loss': 0.4225, 'grad_norm': 2.3798043727874756, 'learning_rate': 1.447841726618705e-05, 'epoch': 7.11} - 71%|█████████████████████████████████████████████████████████████████████████████████████████ | 3970/5570 [1:03:06<21:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4277266263961792, 'eval_runtime': 1.5407, 'eval_samples_per_second': 467.308, 'eval_steps_per_second': 3.894, 'epoch': 7.11} -{'loss': 0.4124, 'grad_norm': 1.7686986923217773, 'learning_rate': 1.4469424460431655e-05, 'epoch': 7.11} -{'loss': 0.4149, 'grad_norm': 1.8927338123321533, 'learning_rate': 1.446043165467626e-05, 'epoch': 7.11} -{'loss': 0.4135, 'grad_norm': 1.9073145389556885, 'learning_rate': 1.4451438848920864e-05, 'epoch': 7.11} -{'loss': 0.4054, 'grad_norm': 3.4501662254333496, 'learning_rate': 1.444244604316547e-05, 'epoch': 7.12} -{'loss': 0.4149, 'grad_norm': 1.4902578592300415, 'learning_rate': 1.4433453237410072e-05, 'epoch': 7.12} -{'loss': 0.4139, 'grad_norm': 2.0467920303344727, 'learning_rate': 1.4424460431654676e-05, 'epoch': 7.12} -{'loss': 0.4167, 'grad_norm': 3.444444417953491, 'learning_rate': 1.4415467625899281e-05, 'epoch': 7.12} -{'loss': 0.414, 'grad_norm': 2.174891471862793, 'learning_rate': 1.4406474820143887e-05, 'epoch': 7.12} -{'loss': 0.4133, 'grad_norm': 1.5329095125198364, 'learning_rate': 1.4397482014388489e-05, 'epoch': 7.13} -{'loss': 0.4153, 'grad_norm': 1.8415261507034302, 'learning_rate': 1.4388489208633093e-05, 'epoch': 7.13} - 71%|█████████████████████████████████████████████████████████████████████████████████████████▎ | 3980/5570 [1:03:15<21:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42580074071884155, 'eval_runtime': 1.5254, 'eval_samples_per_second': 472.001, 'eval_steps_per_second': 3.933, 'epoch': 7.13} -{'loss': 0.4157, 'grad_norm': 2.5699729919433594, 'learning_rate': 1.4379496402877699e-05, 'epoch': 7.13} -{'loss': 0.4128, 'grad_norm': 2.100254774093628, 'learning_rate': 1.4370503597122304e-05, 'epoch': 7.13} -{'loss': 0.41, 'grad_norm': 2.383941650390625, 'learning_rate': 1.4361510791366908e-05, 'epoch': 7.13} -{'loss': 0.4052, 'grad_norm': 2.6639206409454346, 'learning_rate': 1.435251798561151e-05, 'epoch': 7.13} -{'loss': 0.4215, 'grad_norm': 2.0442981719970703, 'learning_rate': 1.4343525179856116e-05, 'epoch': 7.14} -{'loss': 0.4246, 'grad_norm': 1.4826536178588867, 'learning_rate': 1.4334532374100721e-05, 'epoch': 7.14} -{'loss': 0.4166, 'grad_norm': 1.871442198753357, 'learning_rate': 1.4325539568345325e-05, 'epoch': 7.14} -{'loss': 0.4083, 'grad_norm': 2.7822842597961426, 'learning_rate': 1.4316546762589927e-05, 'epoch': 7.14} -{'loss': 0.4178, 'grad_norm': 3.9495325088500977, 'learning_rate': 1.4307553956834533e-05, 'epoch': 7.14} -{'loss': 0.41, 'grad_norm': 1.354529619216919, 'learning_rate': 1.4298561151079137e-05, 'epoch': 7.15} - 72%|█████████████████████████████████████████████████████████████████████████████████████████▌ | 3990/5570 [1:03:25<21:30, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265720844268799, 'eval_runtime': 1.5452, 'eval_samples_per_second': 465.973, 'eval_steps_per_second': 3.883, 'epoch': 7.15} -{'loss': 0.4115, 'grad_norm': 2.7415847778320312, 'learning_rate': 1.4289568345323742e-05, 'epoch': 7.15} -{'loss': 0.421, 'grad_norm': 3.5513715744018555, 'learning_rate': 1.4280575539568348e-05, 'epoch': 7.15} -{'loss': 0.4108, 'grad_norm': 1.5927239656448364, 'learning_rate': 1.427158273381295e-05, 'epoch': 7.15} -{'loss': 0.406, 'grad_norm': 1.5342442989349365, 'learning_rate': 1.4262589928057554e-05, 'epoch': 7.15} -{'loss': 0.4119, 'grad_norm': 3.341294288635254, 'learning_rate': 1.425359712230216e-05, 'epoch': 7.15} -{'loss': 0.4188, 'grad_norm': 2.8861422538757324, 'learning_rate': 1.4244604316546765e-05, 'epoch': 7.16} -{'loss': 0.4143, 'grad_norm': 2.9951069355010986, 'learning_rate': 1.4235611510791367e-05, 'epoch': 7.16} -{'loss': 0.4248, 'grad_norm': 4.742359638214111, 'learning_rate': 1.422661870503597e-05, 'epoch': 7.16} -{'loss': 0.418, 'grad_norm': 5.285317420959473, 'learning_rate': 1.4217625899280576e-05, 'epoch': 7.16} -{'loss': 0.4147, 'grad_norm': 3.9470150470733643, 'learning_rate': 1.420863309352518e-05, 'epoch': 7.16} - 72%|█████████████████████████████████████████████████████████████████████████████████████████▊ | 4000/5570 [1:03:35<21:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4263523519039154, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.354, 'eval_steps_per_second': 3.903, 'epoch': 7.16} -{'loss': 0.4044, 'grad_norm': 1.8725664615631104, 'learning_rate': 1.4199640287769786e-05, 'epoch': 7.17} -{'loss': 0.4169, 'grad_norm': 3.692992925643921, 'learning_rate': 1.4190647482014388e-05, 'epoch': 7.17} -{'loss': 0.4224, 'grad_norm': 5.643241882324219, 'learning_rate': 1.4181654676258993e-05, 'epoch': 7.17} -{'loss': 0.4163, 'grad_norm': 5.3454203605651855, 'learning_rate': 1.4172661870503597e-05, 'epoch': 7.17} -{'loss': 0.4197, 'grad_norm': 2.3528122901916504, 'learning_rate': 1.4163669064748203e-05, 'epoch': 7.17} -{'loss': 0.417, 'grad_norm': 2.712402105331421, 'learning_rate': 1.4154676258992808e-05, 'epoch': 7.17} -{'loss': 0.4124, 'grad_norm': 3.636852502822876, 'learning_rate': 1.414568345323741e-05, 'epoch': 7.18} -{'loss': 0.4139, 'grad_norm': 5.002176761627197, 'learning_rate': 1.4136690647482014e-05, 'epoch': 7.18} -{'loss': 0.4232, 'grad_norm': 3.672211170196533, 'learning_rate': 1.412769784172662e-05, 'epoch': 7.18} -{'loss': 0.4164, 'grad_norm': 2.5975615978240967, 'learning_rate': 1.4118705035971226e-05, 'epoch': 7.18} - 72%|█████████████████████████████████████████████████████████████████████████████████████████▉ | 4010/5570 [1:03:44<21:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4284524619579315, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.305, 'eval_steps_per_second': 3.936, 'epoch': 7.18} -{'loss': 0.4178, 'grad_norm': 3.7289302349090576, 'learning_rate': 1.4109712230215828e-05, 'epoch': 7.18} -{'loss': 0.4078, 'grad_norm': 2.869964122772217, 'learning_rate': 1.4100719424460432e-05, 'epoch': 7.18} -{'loss': 0.4013, 'grad_norm': 3.2780516147613525, 'learning_rate': 1.4091726618705037e-05, 'epoch': 7.19} -{'loss': 0.4222, 'grad_norm': 3.26851487159729, 'learning_rate': 1.4082733812949641e-05, 'epoch': 7.19} -{'loss': 0.4108, 'grad_norm': 3.45784854888916, 'learning_rate': 1.4073741007194246e-05, 'epoch': 7.19} -{'loss': 0.41, 'grad_norm': 1.9559534788131714, 'learning_rate': 1.4064748201438849e-05, 'epoch': 7.19} -{'loss': 0.3991, 'grad_norm': 1.8831607103347778, 'learning_rate': 1.4055755395683454e-05, 'epoch': 7.19} -{'loss': 0.4118, 'grad_norm': 3.6155107021331787, 'learning_rate': 1.4046762589928058e-05, 'epoch': 7.2} -{'loss': 0.4003, 'grad_norm': 2.3489980697631836, 'learning_rate': 1.4037769784172664e-05, 'epoch': 7.2} -{'loss': 0.4182, 'grad_norm': 2.9800493717193604, 'learning_rate': 1.4028776978417266e-05, 'epoch': 7.2} - 72%|██████████████████████████████████████████████████████████████████████████████████████████▏ | 4020/5570 [1:03:54<21:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4262852072715759, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.39, 'eval_steps_per_second': 3.92, 'epoch': 7.2} -{'loss': 0.4229, 'grad_norm': 2.0582690238952637, 'learning_rate': 1.4019784172661871e-05, 'epoch': 7.2} -{'loss': 0.4039, 'grad_norm': 2.4657113552093506, 'learning_rate': 1.4010791366906475e-05, 'epoch': 7.2} -{'loss': 0.4151, 'grad_norm': 2.5838871002197266, 'learning_rate': 1.400179856115108e-05, 'epoch': 7.2} -{'loss': 0.4158, 'grad_norm': 2.7533676624298096, 'learning_rate': 1.3992805755395685e-05, 'epoch': 7.21} -{'loss': 0.4161, 'grad_norm': 1.489274501800537, 'learning_rate': 1.3983812949640287e-05, 'epoch': 7.21} -{'loss': 0.4178, 'grad_norm': 1.9190641641616821, 'learning_rate': 1.3974820143884892e-05, 'epoch': 7.21} -{'loss': 0.4071, 'grad_norm': 3.8236448764801025, 'learning_rate': 1.3965827338129498e-05, 'epoch': 7.21} -{'loss': 0.4154, 'grad_norm': 3.5545101165771484, 'learning_rate': 1.3956834532374102e-05, 'epoch': 7.21} -{'loss': 0.4095, 'grad_norm': 2.3079988956451416, 'learning_rate': 1.3947841726618704e-05, 'epoch': 7.22} -{'loss': 0.4185, 'grad_norm': 3.014101028442383, 'learning_rate': 1.393884892086331e-05, 'epoch': 7.22} - 72%|██████████████████████████████████████████████████████████████████████████████████████████▍ | 4030/5570 [1:04:03<20:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4303685128688812, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.725, 'eval_steps_per_second': 3.914, 'epoch': 7.22} -{'loss': 0.416, 'grad_norm': 5.822396278381348, 'learning_rate': 1.3929856115107915e-05, 'epoch': 7.22} -{'loss': 0.415, 'grad_norm': 3.9632985591888428, 'learning_rate': 1.3920863309352519e-05, 'epoch': 7.22} -{'loss': 0.4157, 'grad_norm': 2.0045902729034424, 'learning_rate': 1.3911870503597124e-05, 'epoch': 7.22} -{'loss': 0.4097, 'grad_norm': 2.8346710205078125, 'learning_rate': 1.3902877697841726e-05, 'epoch': 7.22} -{'loss': 0.4184, 'grad_norm': 2.8361353874206543, 'learning_rate': 1.3893884892086332e-05, 'epoch': 7.23} -{'loss': 0.4152, 'grad_norm': 1.5764764547348022, 'learning_rate': 1.3884892086330936e-05, 'epoch': 7.23} -{'loss': 0.4147, 'grad_norm': 1.2949082851409912, 'learning_rate': 1.3875899280575541e-05, 'epoch': 7.23} -{'loss': 0.4176, 'grad_norm': 2.384762763977051, 'learning_rate': 1.3866906474820144e-05, 'epoch': 7.23} -{'loss': 0.4157, 'grad_norm': 2.259546995162964, 'learning_rate': 1.3857913669064747e-05, 'epoch': 7.23} -{'loss': 0.4214, 'grad_norm': 2.3982954025268555, 'learning_rate': 1.3848920863309353e-05, 'epoch': 7.24} - 73%|██████████████████████████████████████████████████████████████████████████████████████████▋ | 4040/5570 [1:04:13<20:45, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42735323309898376, 'eval_runtime': 1.5334, 'eval_samples_per_second': 469.53, 'eval_steps_per_second': 3.913, 'epoch': 7.24} -{'loss': 0.4175, 'grad_norm': 2.586669921875, 'learning_rate': 1.3839928057553959e-05, 'epoch': 7.24} -{'loss': 0.415, 'grad_norm': 2.654587507247925, 'learning_rate': 1.3830935251798562e-05, 'epoch': 7.24} -{'loss': 0.4097, 'grad_norm': 1.255388855934143, 'learning_rate': 1.3821942446043165e-05, 'epoch': 7.24} -{'loss': 0.4159, 'grad_norm': 3.9725821018218994, 'learning_rate': 1.381294964028777e-05, 'epoch': 7.24} -{'loss': 0.4156, 'grad_norm': 4.350218772888184, 'learning_rate': 1.3803956834532376e-05, 'epoch': 7.24} -{'loss': 0.4116, 'grad_norm': 2.2751152515411377, 'learning_rate': 1.379496402877698e-05, 'epoch': 7.25} -{'loss': 0.408, 'grad_norm': 1.7228028774261475, 'learning_rate': 1.3785971223021582e-05, 'epoch': 7.25} -{'loss': 0.4134, 'grad_norm': 3.120112419128418, 'learning_rate': 1.3776978417266187e-05, 'epoch': 7.25} -{'loss': 0.4059, 'grad_norm': 2.3285844326019287, 'learning_rate': 1.3767985611510791e-05, 'epoch': 7.25} -{'loss': 0.4228, 'grad_norm': 3.04904842376709, 'learning_rate': 1.3758992805755397e-05, 'epoch': 7.25} - 73%|██████████████████████████████████████████████████████████████████████████████████████████▉ | 4050/5570 [1:04:22<20:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42874476313591003, 'eval_runtime': 1.5144, 'eval_samples_per_second': 475.431, 'eval_steps_per_second': 3.962, 'epoch': 7.25} -{'loss': 0.4172, 'grad_norm': 2.5179355144500732, 'learning_rate': 1.3750000000000002e-05, 'epoch': 7.25} -{'loss': 0.4119, 'grad_norm': 2.835613250732422, 'learning_rate': 1.3741007194244604e-05, 'epoch': 7.26} -{'loss': 0.4189, 'grad_norm': 2.1570005416870117, 'learning_rate': 1.3732014388489208e-05, 'epoch': 7.26} -{'loss': 0.4162, 'grad_norm': 1.6718765497207642, 'learning_rate': 1.3723021582733814e-05, 'epoch': 7.26} -{'loss': 0.4191, 'grad_norm': 2.966952085494995, 'learning_rate': 1.371402877697842e-05, 'epoch': 7.26} -{'loss': 0.4175, 'grad_norm': 2.209524393081665, 'learning_rate': 1.3705035971223021e-05, 'epoch': 7.26} -{'loss': 0.4101, 'grad_norm': 1.13583242893219, 'learning_rate': 1.3696043165467625e-05, 'epoch': 7.27} -{'loss': 0.4011, 'grad_norm': 1.3571417331695557, 'learning_rate': 1.3687050359712231e-05, 'epoch': 7.27} -{'loss': 0.4151, 'grad_norm': 2.8339684009552, 'learning_rate': 1.3678057553956836e-05, 'epoch': 7.27} -{'loss': 0.4147, 'grad_norm': 2.1882588863372803, 'learning_rate': 1.366906474820144e-05, 'epoch': 7.27} - 73%|███████████████████████████████████████████████████████████████████████████████████████████ | 4060/5570 [1:04:32<20:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4281252920627594, 'eval_runtime': 1.5213, 'eval_samples_per_second': 473.281, 'eval_steps_per_second': 3.944, 'epoch': 7.27} -{'loss': 0.4121, 'grad_norm': 2.798710346221924, 'learning_rate': 1.3660071942446042e-05, 'epoch': 7.27} -{'loss': 0.4188, 'grad_norm': 4.851059913635254, 'learning_rate': 1.3651079136690648e-05, 'epoch': 7.27} -{'loss': 0.4231, 'grad_norm': 2.4196360111236572, 'learning_rate': 1.3642086330935252e-05, 'epoch': 7.28} -{'loss': 0.4092, 'grad_norm': 2.0591349601745605, 'learning_rate': 1.3633093525179857e-05, 'epoch': 7.28} -{'loss': 0.407, 'grad_norm': 1.6012980937957764, 'learning_rate': 1.3624100719424463e-05, 'epoch': 7.28} -{'loss': 0.4142, 'grad_norm': 2.5268642902374268, 'learning_rate': 1.3615107913669065e-05, 'epoch': 7.28} -{'loss': 0.4217, 'grad_norm': 3.127568006515503, 'learning_rate': 1.3606115107913669e-05, 'epoch': 7.28} -{'loss': 0.4183, 'grad_norm': 2.1951966285705566, 'learning_rate': 1.3597122302158274e-05, 'epoch': 7.29} -{'loss': 0.4177, 'grad_norm': 2.223787307739258, 'learning_rate': 1.358812949640288e-05, 'epoch': 7.29} -{'loss': 0.417, 'grad_norm': 2.3678433895111084, 'learning_rate': 1.3579136690647482e-05, 'epoch': 7.29} - 73%|███████████████████████████████████████████████████████████████████████████████████████████▎ | 4070/5570 [1:04:41<20:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4273071587085724, 'eval_runtime': 1.5285, 'eval_samples_per_second': 471.044, 'eval_steps_per_second': 3.925, 'epoch': 7.29} -{'loss': 0.4112, 'grad_norm': 1.354934573173523, 'learning_rate': 1.3570143884892086e-05, 'epoch': 7.29} -{'loss': 0.4184, 'grad_norm': 1.8919601440429688, 'learning_rate': 1.3561151079136692e-05, 'epoch': 7.29} -{'loss': 0.4197, 'grad_norm': 4.015443801879883, 'learning_rate': 1.3552158273381295e-05, 'epoch': 7.29} -{'loss': 0.4163, 'grad_norm': 2.0230507850646973, 'learning_rate': 1.3543165467625901e-05, 'epoch': 7.3} -{'loss': 0.412, 'grad_norm': 1.7812106609344482, 'learning_rate': 1.3534172661870503e-05, 'epoch': 7.3} -{'loss': 0.4199, 'grad_norm': 1.5631136894226074, 'learning_rate': 1.3525179856115109e-05, 'epoch': 7.3} -{'loss': 0.4156, 'grad_norm': 2.976926326751709, 'learning_rate': 1.3516187050359713e-05, 'epoch': 7.3} -{'loss': 0.4289, 'grad_norm': 3.8116021156311035, 'learning_rate': 1.3507194244604318e-05, 'epoch': 7.3} -{'loss': 0.4198, 'grad_norm': 3.7504003047943115, 'learning_rate': 1.349820143884892e-05, 'epoch': 7.31} -{'loss': 0.4206, 'grad_norm': 2.4876651763916016, 'learning_rate': 1.3489208633093526e-05, 'epoch': 7.31} - 73%|███████████████████████████████████████████████████████████████████████████████████████████▌ | 4080/5570 [1:04:51<19:58, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42845574021339417, 'eval_runtime': 1.5311, 'eval_samples_per_second': 470.259, 'eval_steps_per_second': 3.919, 'epoch': 7.31} -{'loss': 0.4098, 'grad_norm': 2.449711561203003, 'learning_rate': 1.348021582733813e-05, 'epoch': 7.31} -{'loss': 0.4121, 'grad_norm': 2.8612473011016846, 'learning_rate': 1.3471223021582735e-05, 'epoch': 7.31} -{'loss': 0.4236, 'grad_norm': 2.8936712741851807, 'learning_rate': 1.346223021582734e-05, 'epoch': 7.31} -{'loss': 0.4126, 'grad_norm': 2.633341073989868, 'learning_rate': 1.3453237410071943e-05, 'epoch': 7.31} -{'loss': 0.4081, 'grad_norm': 2.102296829223633, 'learning_rate': 1.3444244604316547e-05, 'epoch': 7.32} -{'loss': 0.418, 'grad_norm': 3.69285249710083, 'learning_rate': 1.3435251798561152e-05, 'epoch': 7.32} -{'loss': 0.4164, 'grad_norm': 3.6759769916534424, 'learning_rate': 1.3426258992805756e-05, 'epoch': 7.32} -{'loss': 0.4151, 'grad_norm': 3.3326470851898193, 'learning_rate': 1.3417266187050358e-05, 'epoch': 7.32} -{'loss': 0.4161, 'grad_norm': 2.0697555541992188, 'learning_rate': 1.3408273381294964e-05, 'epoch': 7.32} -{'loss': 0.4123, 'grad_norm': 2.239652156829834, 'learning_rate': 1.339928057553957e-05, 'epoch': 7.32} - 73%|███████████████████████████████████████████████████████████████████████████████████████████▊ | 4090/5570 [1:05:00<19:53, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42571666836738586, 'eval_runtime': 1.5331, 'eval_samples_per_second': 469.644, 'eval_steps_per_second': 3.914, 'epoch': 7.32} -{'loss': 0.4081, 'grad_norm': 1.7891350984573364, 'learning_rate': 1.3390287769784173e-05, 'epoch': 7.33} -{'loss': 0.4119, 'grad_norm': 1.2912485599517822, 'learning_rate': 1.3381294964028779e-05, 'epoch': 7.33} -{'loss': 0.42, 'grad_norm': 2.5532453060150146, 'learning_rate': 1.3372302158273381e-05, 'epoch': 7.33} -{'loss': 0.4128, 'grad_norm': 1.3087066411972046, 'learning_rate': 1.3363309352517987e-05, 'epoch': 7.33} -{'loss': 0.4172, 'grad_norm': 3.2354273796081543, 'learning_rate': 1.335431654676259e-05, 'epoch': 7.33} -{'loss': 0.4164, 'grad_norm': 1.5405142307281494, 'learning_rate': 1.3345323741007196e-05, 'epoch': 7.34} -{'loss': 0.415, 'grad_norm': 2.218966245651245, 'learning_rate': 1.3336330935251798e-05, 'epoch': 7.34} -{'loss': 0.408, 'grad_norm': 1.1324830055236816, 'learning_rate': 1.3327338129496404e-05, 'epoch': 7.34} -{'loss': 0.4151, 'grad_norm': 1.7601380348205566, 'learning_rate': 1.3318345323741008e-05, 'epoch': 7.34} -{'loss': 0.4117, 'grad_norm': 1.9255273342132568, 'learning_rate': 1.3309352517985613e-05, 'epoch': 7.34} - 74%|████████████████████████████████████████████████████████████████████████████████████████████ | 4100/5570 [1:05:10<19:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42593687772750854, 'eval_runtime': 1.5212, 'eval_samples_per_second': 473.306, 'eval_steps_per_second': 3.944, 'epoch': 7.34} -{'loss': 0.4168, 'grad_norm': 3.027956008911133, 'learning_rate': 1.3300359712230217e-05, 'epoch': 7.34} -{'loss': 0.4171, 'grad_norm': 2.9814345836639404, 'learning_rate': 1.3291366906474819e-05, 'epoch': 7.35} -{'loss': 0.4137, 'grad_norm': 2.4226057529449463, 'learning_rate': 1.3282374100719425e-05, 'epoch': 7.35} -{'loss': 0.4202, 'grad_norm': 1.6254377365112305, 'learning_rate': 1.327338129496403e-05, 'epoch': 7.35} -{'loss': 0.407, 'grad_norm': 1.1573594808578491, 'learning_rate': 1.3264388489208634e-05, 'epoch': 7.35} -{'loss': 0.4216, 'grad_norm': 1.808444857597351, 'learning_rate': 1.3255395683453236e-05, 'epoch': 7.35} -{'loss': 0.4176, 'grad_norm': 1.6466410160064697, 'learning_rate': 1.3246402877697842e-05, 'epoch': 7.36} -{'loss': 0.4022, 'grad_norm': 1.732320785522461, 'learning_rate': 1.3237410071942447e-05, 'epoch': 7.36} -{'loss': 0.4103, 'grad_norm': 2.026071071624756, 'learning_rate': 1.3228417266187051e-05, 'epoch': 7.36} -{'loss': 0.4243, 'grad_norm': 2.561413526535034, 'learning_rate': 1.3219424460431657e-05, 'epoch': 7.36} - 74%|████████████████████████████████████████████████████████████████████████████████████████████▏ | 4110/5570 [1:05:19<19:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4254498779773712, 'eval_runtime': 1.5219, 'eval_samples_per_second': 473.079, 'eval_steps_per_second': 3.942, 'epoch': 7.36} -{'loss': 0.4081, 'grad_norm': 2.9230597019195557, 'learning_rate': 1.3210431654676259e-05, 'epoch': 7.36} -{'loss': 0.43, 'grad_norm': 2.05562686920166, 'learning_rate': 1.3201438848920863e-05, 'epoch': 7.36} -{'loss': 0.4072, 'grad_norm': 1.1206971406936646, 'learning_rate': 1.3192446043165468e-05, 'epoch': 7.37} -{'loss': 0.4163, 'grad_norm': 2.75921893119812, 'learning_rate': 1.3183453237410074e-05, 'epoch': 7.37} -{'loss': 0.4139, 'grad_norm': 1.0005886554718018, 'learning_rate': 1.3174460431654678e-05, 'epoch': 7.37} -{'loss': 0.4068, 'grad_norm': 1.6477699279785156, 'learning_rate': 1.316546762589928e-05, 'epoch': 7.37} -{'loss': 0.4287, 'grad_norm': 2.6015615463256836, 'learning_rate': 1.3156474820143885e-05, 'epoch': 7.37} -{'loss': 0.4166, 'grad_norm': 2.2993721961975098, 'learning_rate': 1.3147482014388491e-05, 'epoch': 7.38} -{'loss': 0.4158, 'grad_norm': 1.6717556715011597, 'learning_rate': 1.3138489208633095e-05, 'epoch': 7.38} -{'loss': 0.4152, 'grad_norm': 1.9515718221664429, 'learning_rate': 1.3129496402877697e-05, 'epoch': 7.38} - 74%|████████████████████████████████████████████████████████████████████████████████████████████▍ | 4120/5570 [1:05:29<19:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4285814166069031, 'eval_runtime': 1.5196, 'eval_samples_per_second': 473.795, 'eval_steps_per_second': 3.948, 'epoch': 7.38} -{'loss': 0.4224, 'grad_norm': 2.820779800415039, 'learning_rate': 1.3120503597122302e-05, 'epoch': 7.38} -{'loss': 0.4175, 'grad_norm': 3.0352132320404053, 'learning_rate': 1.3111510791366908e-05, 'epoch': 7.38} -{'loss': 0.4222, 'grad_norm': 1.4580696821212769, 'learning_rate': 1.3102517985611512e-05, 'epoch': 7.38} -{'loss': 0.42, 'grad_norm': 2.8790149688720703, 'learning_rate': 1.3093525179856117e-05, 'epoch': 7.39} -{'loss': 0.4197, 'grad_norm': 2.84763503074646, 'learning_rate': 1.308453237410072e-05, 'epoch': 7.39} -{'loss': 0.4118, 'grad_norm': 2.8901731967926025, 'learning_rate': 1.3075539568345323e-05, 'epoch': 7.39} -{'loss': 0.4084, 'grad_norm': 2.090542793273926, 'learning_rate': 1.3066546762589929e-05, 'epoch': 7.39} -{'loss': 0.4113, 'grad_norm': 1.7267571687698364, 'learning_rate': 1.3057553956834535e-05, 'epoch': 7.39} -{'loss': 0.4097, 'grad_norm': 2.0919101238250732, 'learning_rate': 1.3048561151079137e-05, 'epoch': 7.39} -{'loss': 0.4237, 'grad_norm': 4.086389064788818, 'learning_rate': 1.303956834532374e-05, 'epoch': 7.4} - 74%|████████████████████████████████████████████████████████████████████████████████████████████▋ | 4130/5570 [1:05:39<19:40, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42724019289016724, 'eval_runtime': 1.5169, 'eval_samples_per_second': 474.655, 'eval_steps_per_second': 3.955, 'epoch': 7.4} -{'loss': 0.4121, 'grad_norm': 2.900437593460083, 'learning_rate': 1.3030575539568346e-05, 'epoch': 7.4} -{'loss': 0.4182, 'grad_norm': 1.8826349973678589, 'learning_rate': 1.3021582733812952e-05, 'epoch': 7.4} -{'loss': 0.422, 'grad_norm': 2.4609391689300537, 'learning_rate': 1.3012589928057555e-05, 'epoch': 7.4} -{'loss': 0.4173, 'grad_norm': 2.5395240783691406, 'learning_rate': 1.3003597122302158e-05, 'epoch': 7.4} -{'loss': 0.415, 'grad_norm': 2.9566328525543213, 'learning_rate': 1.2994604316546763e-05, 'epoch': 7.41} -{'loss': 0.414, 'grad_norm': 3.224889039993286, 'learning_rate': 1.2985611510791367e-05, 'epoch': 7.41} -{'loss': 0.4167, 'grad_norm': 2.5856378078460693, 'learning_rate': 1.2976618705035973e-05, 'epoch': 7.41} -{'loss': 0.4165, 'grad_norm': 3.1679482460021973, 'learning_rate': 1.2967625899280575e-05, 'epoch': 7.41} -{'loss': 0.4169, 'grad_norm': 3.294100284576416, 'learning_rate': 1.295863309352518e-05, 'epoch': 7.41} -{'loss': 0.4081, 'grad_norm': 4.044938087463379, 'learning_rate': 1.2949640287769784e-05, 'epoch': 7.41} - 74%|████████████████████████████████████████████████████████████████████████████████████████████▉ | 4140/5570 [1:05:48<20:26, 1.17it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4308414161205292, 'eval_runtime': 1.5172, 'eval_samples_per_second': 474.544, 'eval_steps_per_second': 3.955, 'epoch': 7.41} -{'loss': 0.4158, 'grad_norm': 5.248753070831299, 'learning_rate': 1.294064748201439e-05, 'epoch': 7.42} -{'loss': 0.4196, 'grad_norm': 4.251763820648193, 'learning_rate': 1.2931654676258995e-05, 'epoch': 7.42} -{'loss': 0.4112, 'grad_norm': 2.3801205158233643, 'learning_rate': 1.2922661870503597e-05, 'epoch': 7.42} -{'loss': 0.4125, 'grad_norm': 2.3358709812164307, 'learning_rate': 1.2913669064748201e-05, 'epoch': 7.42} -{'loss': 0.4196, 'grad_norm': 5.361777305603027, 'learning_rate': 1.2904676258992807e-05, 'epoch': 7.42} -{'loss': 0.4222, 'grad_norm': 4.93043327331543, 'learning_rate': 1.2895683453237412e-05, 'epoch': 7.43} -{'loss': 0.4179, 'grad_norm': 2.374988555908203, 'learning_rate': 1.2886690647482015e-05, 'epoch': 7.43} -{'loss': 0.4161, 'grad_norm': 2.027151107788086, 'learning_rate': 1.2877697841726618e-05, 'epoch': 7.43} -{'loss': 0.4133, 'grad_norm': 4.3146467208862305, 'learning_rate': 1.2868705035971224e-05, 'epoch': 7.43} -{'loss': 0.4154, 'grad_norm': 2.802912473678589, 'learning_rate': 1.2859712230215828e-05, 'epoch': 7.43} - 75%|█████████████████████████████████████████████████████████████████████████████████████████████▏ | 4150/5570 [1:05:58<19:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250333905220032, 'eval_runtime': 1.5501, 'eval_samples_per_second': 464.493, 'eval_steps_per_second': 3.871, 'epoch': 7.43} -{'loss': 0.4072, 'grad_norm': 1.3895388841629028, 'learning_rate': 1.2850719424460433e-05, 'epoch': 7.43} -{'loss': 0.4136, 'grad_norm': 2.599074363708496, 'learning_rate': 1.2841726618705036e-05, 'epoch': 7.44} -{'loss': 0.4183, 'grad_norm': 3.2462213039398193, 'learning_rate': 1.2832733812949641e-05, 'epoch': 7.44} -{'loss': 0.4078, 'grad_norm': 1.7874804735183716, 'learning_rate': 1.2823741007194245e-05, 'epoch': 7.44} -{'loss': 0.4146, 'grad_norm': 2.0664706230163574, 'learning_rate': 1.281474820143885e-05, 'epoch': 7.44} -{'loss': 0.4273, 'grad_norm': 2.3143303394317627, 'learning_rate': 1.2805755395683453e-05, 'epoch': 7.44} -{'loss': 0.4174, 'grad_norm': 2.4878933429718018, 'learning_rate': 1.2796762589928058e-05, 'epoch': 7.45} -{'loss': 0.4129, 'grad_norm': 1.3170502185821533, 'learning_rate': 1.2787769784172662e-05, 'epoch': 7.45} -{'loss': 0.4109, 'grad_norm': 3.5710771083831787, 'learning_rate': 1.2778776978417268e-05, 'epoch': 7.45} -{'loss': 0.4276, 'grad_norm': 4.7452392578125, 'learning_rate': 1.2769784172661871e-05, 'epoch': 7.45} - 75%|█████████████████████████████████████████████████████████████████████████████████████████████▎ | 4160/5570 [1:06:08<19:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42947760224342346, 'eval_runtime': 1.5117, 'eval_samples_per_second': 476.29, 'eval_steps_per_second': 3.969, 'epoch': 7.45} -{'loss': 0.4128, 'grad_norm': 4.522156715393066, 'learning_rate': 1.2760791366906474e-05, 'epoch': 7.45} -{'loss': 0.4169, 'grad_norm': 2.2709569931030273, 'learning_rate': 1.2751798561151079e-05, 'epoch': 7.45} -{'loss': 0.4084, 'grad_norm': 3.6296067237854004, 'learning_rate': 1.2742805755395685e-05, 'epoch': 7.46} -{'loss': 0.4228, 'grad_norm': 6.033348083496094, 'learning_rate': 1.2733812949640289e-05, 'epoch': 7.46} -{'loss': 0.4253, 'grad_norm': 4.510653495788574, 'learning_rate': 1.2724820143884894e-05, 'epoch': 7.46} -{'loss': 0.4196, 'grad_norm': 3.3014891147613525, 'learning_rate': 1.2715827338129496e-05, 'epoch': 7.46} -{'loss': 0.4071, 'grad_norm': 3.0679261684417725, 'learning_rate': 1.2706834532374102e-05, 'epoch': 7.46} -{'loss': 0.4121, 'grad_norm': 3.4355995655059814, 'learning_rate': 1.2697841726618706e-05, 'epoch': 7.46} -{'loss': 0.4069, 'grad_norm': 3.7277069091796875, 'learning_rate': 1.2688848920863311e-05, 'epoch': 7.47} -{'loss': 0.4245, 'grad_norm': 4.077163219451904, 'learning_rate': 1.2679856115107913e-05, 'epoch': 7.47} - 75%|█████████████████████████████████████████████████████████████████████████████████████████████▌ | 4170/5570 [1:06:17<19:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42659515142440796, 'eval_runtime': 1.5391, 'eval_samples_per_second': 467.804, 'eval_steps_per_second': 3.898, 'epoch': 7.47} -{'loss': 0.4127, 'grad_norm': 2.563039779663086, 'learning_rate': 1.2670863309352519e-05, 'epoch': 7.47} -{'loss': 0.4262, 'grad_norm': 5.718326568603516, 'learning_rate': 1.2661870503597123e-05, 'epoch': 7.47} -{'loss': 0.4274, 'grad_norm': 3.624110221862793, 'learning_rate': 1.2652877697841728e-05, 'epoch': 7.47} -{'loss': 0.4114, 'grad_norm': 4.0547027587890625, 'learning_rate': 1.2643884892086332e-05, 'epoch': 7.48} -{'loss': 0.4131, 'grad_norm': 3.536055088043213, 'learning_rate': 1.2634892086330934e-05, 'epoch': 7.48} -{'loss': 0.414, 'grad_norm': 2.438483953475952, 'learning_rate': 1.262589928057554e-05, 'epoch': 7.48} -{'loss': 0.4116, 'grad_norm': 3.421015501022339, 'learning_rate': 1.2616906474820145e-05, 'epoch': 7.48} -{'loss': 0.415, 'grad_norm': 2.9220376014709473, 'learning_rate': 1.260791366906475e-05, 'epoch': 7.48} -{'loss': 0.4074, 'grad_norm': 3.2342355251312256, 'learning_rate': 1.2598920863309351e-05, 'epoch': 7.48} -{'loss': 0.4281, 'grad_norm': 4.4131646156311035, 'learning_rate': 1.2589928057553957e-05, 'epoch': 7.49} - 75%|█████████████████████████████████████████████████████████████████████████████████████████████▊ | 4180/5570 [1:06:27<18:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42636990547180176, 'eval_runtime': 1.5189, 'eval_samples_per_second': 474.036, 'eval_steps_per_second': 3.95, 'epoch': 7.49} -{'loss': 0.4124, 'grad_norm': 3.427696704864502, 'learning_rate': 1.2580935251798563e-05, 'epoch': 7.49} -{'loss': 0.4183, 'grad_norm': 2.0235118865966797, 'learning_rate': 1.2571942446043166e-05, 'epoch': 7.49} -{'loss': 0.4122, 'grad_norm': 1.8152272701263428, 'learning_rate': 1.2562949640287772e-05, 'epoch': 7.49} -{'loss': 0.4201, 'grad_norm': 4.099358558654785, 'learning_rate': 1.2553956834532374e-05, 'epoch': 7.49} -{'loss': 0.412, 'grad_norm': 4.910434722900391, 'learning_rate': 1.2544964028776978e-05, 'epoch': 7.5} -{'loss': 0.4162, 'grad_norm': 2.5428452491760254, 'learning_rate': 1.2535971223021583e-05, 'epoch': 7.5} -{'loss': 0.4139, 'grad_norm': 2.767648696899414, 'learning_rate': 1.2526978417266189e-05, 'epoch': 7.5} -{'loss': 0.4112, 'grad_norm': 3.2406229972839355, 'learning_rate': 1.2517985611510791e-05, 'epoch': 7.5} -{'loss': 0.4237, 'grad_norm': 5.804328918457031, 'learning_rate': 1.2508992805755395e-05, 'epoch': 7.5} -{'loss': 0.411, 'grad_norm': 3.708674192428589, 'learning_rate': 1.25e-05, 'epoch': 7.5} - 75%|██████████████████████████████████████████████████████████████████████████████████████████████ | 4190/5570 [1:06:36<18:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4252234697341919, 'eval_runtime': 1.5226, 'eval_samples_per_second': 472.863, 'eval_steps_per_second': 3.941, 'epoch': 7.5} -{'loss': 0.4137, 'grad_norm': 1.6163959503173828, 'learning_rate': 1.2491007194244606e-05, 'epoch': 7.51} -{'loss': 0.4154, 'grad_norm': 2.434633255004883, 'learning_rate': 1.2482014388489208e-05, 'epoch': 7.51} -{'loss': 0.4172, 'grad_norm': 2.8670034408569336, 'learning_rate': 1.2473021582733814e-05, 'epoch': 7.51} -{'loss': 0.4129, 'grad_norm': 2.4838297367095947, 'learning_rate': 1.2464028776978418e-05, 'epoch': 7.51} -{'loss': 0.416, 'grad_norm': 1.2149403095245361, 'learning_rate': 1.2455035971223023e-05, 'epoch': 7.51} -{'loss': 0.4142, 'grad_norm': 2.1432878971099854, 'learning_rate': 1.2446043165467625e-05, 'epoch': 7.52} -{'loss': 0.4227, 'grad_norm': 3.2786829471588135, 'learning_rate': 1.2437050359712231e-05, 'epoch': 7.52} -{'loss': 0.4176, 'grad_norm': 1.9978327751159668, 'learning_rate': 1.2428057553956835e-05, 'epoch': 7.52} -{'loss': 0.4006, 'grad_norm': 0.9348044991493225, 'learning_rate': 1.2419064748201439e-05, 'epoch': 7.52} -{'loss': 0.4105, 'grad_norm': 2.079418420791626, 'learning_rate': 1.2410071942446044e-05, 'epoch': 7.52} - 75%|██████████████████████████████████████████████████████████████████████████████████████████████▎ | 4200/5570 [1:06:46<18:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42583605647087097, 'eval_runtime': 1.5311, 'eval_samples_per_second': 470.238, 'eval_steps_per_second': 3.919, 'epoch': 7.52} -{'loss': 0.4075, 'grad_norm': 2.952030897140503, 'learning_rate': 1.2401079136690648e-05, 'epoch': 7.52} -{'loss': 0.4165, 'grad_norm': 1.328007459640503, 'learning_rate': 1.2392086330935254e-05, 'epoch': 7.53} -{'loss': 0.4178, 'grad_norm': 3.446697235107422, 'learning_rate': 1.2383093525179856e-05, 'epoch': 7.53} -{'loss': 0.4093, 'grad_norm': 2.9680190086364746, 'learning_rate': 1.2374100719424461e-05, 'epoch': 7.53} -{'loss': 0.4189, 'grad_norm': 1.7309393882751465, 'learning_rate': 1.2365107913669065e-05, 'epoch': 7.53} -{'loss': 0.41, 'grad_norm': 2.350529670715332, 'learning_rate': 1.2356115107913669e-05, 'epoch': 7.53} -{'loss': 0.4172, 'grad_norm': 2.8190407752990723, 'learning_rate': 1.2347122302158275e-05, 'epoch': 7.54} -{'loss': 0.4159, 'grad_norm': 2.577655553817749, 'learning_rate': 1.2338129496402878e-05, 'epoch': 7.54} -{'loss': 0.42, 'grad_norm': 2.1779701709747314, 'learning_rate': 1.2329136690647482e-05, 'epoch': 7.54} -{'loss': 0.4111, 'grad_norm': 2.0735857486724854, 'learning_rate': 1.2320143884892086e-05, 'epoch': 7.54} - 76%|██████████████████████████████████████████████████████████████████████████████████████████████▍ | 4210/5570 [1:06:55<18:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4266960918903351, 'eval_runtime': 1.5455, 'eval_samples_per_second': 465.882, 'eval_steps_per_second': 3.882, 'epoch': 7.54} -{'loss': 0.4119, 'grad_norm': 1.8035807609558105, 'learning_rate': 1.2311151079136692e-05, 'epoch': 7.54} -{'loss': 0.426, 'grad_norm': 3.0259125232696533, 'learning_rate': 1.2302158273381296e-05, 'epoch': 7.54} -{'loss': 0.4052, 'grad_norm': 1.6544770002365112, 'learning_rate': 1.22931654676259e-05, 'epoch': 7.55} -{'loss': 0.4189, 'grad_norm': 4.515806674957275, 'learning_rate': 1.2284172661870503e-05, 'epoch': 7.55} -{'loss': 0.4101, 'grad_norm': 1.096505880355835, 'learning_rate': 1.2275179856115109e-05, 'epoch': 7.55} -{'loss': 0.4165, 'grad_norm': 2.139657735824585, 'learning_rate': 1.2266187050359713e-05, 'epoch': 7.55} -{'loss': 0.4168, 'grad_norm': 1.7610994577407837, 'learning_rate': 1.2257194244604317e-05, 'epoch': 7.55} -{'loss': 0.4137, 'grad_norm': 3.2024431228637695, 'learning_rate': 1.2248201438848922e-05, 'epoch': 7.55} -{'loss': 0.4215, 'grad_norm': 2.239555597305298, 'learning_rate': 1.2239208633093526e-05, 'epoch': 7.56} -{'loss': 0.4144, 'grad_norm': 1.4788868427276611, 'learning_rate': 1.223021582733813e-05, 'epoch': 7.56} - 76%|██████████████████████████████████████████████████████████████████████████████████████████████▋ | 4220/5570 [1:07:05<18:11, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4251621663570404, 'eval_runtime': 1.5478, 'eval_samples_per_second': 465.183, 'eval_steps_per_second': 3.877, 'epoch': 7.56} -{'loss': 0.4176, 'grad_norm': 1.4085841178894043, 'learning_rate': 1.2221223021582734e-05, 'epoch': 7.56} -{'loss': 0.416, 'grad_norm': 3.3067851066589355, 'learning_rate': 1.221223021582734e-05, 'epoch': 7.56} -{'loss': 0.4132, 'grad_norm': 2.7675158977508545, 'learning_rate': 1.2203237410071943e-05, 'epoch': 7.56} -{'loss': 0.422, 'grad_norm': 2.4722001552581787, 'learning_rate': 1.2194244604316547e-05, 'epoch': 7.57} -{'loss': 0.4196, 'grad_norm': 1.3238290548324585, 'learning_rate': 1.2185251798561152e-05, 'epoch': 7.57} -{'loss': 0.4193, 'grad_norm': 2.5795650482177734, 'learning_rate': 1.2176258992805756e-05, 'epoch': 7.57} -{'loss': 0.411, 'grad_norm': 1.9056113958358765, 'learning_rate': 1.216726618705036e-05, 'epoch': 7.57} -{'loss': 0.4091, 'grad_norm': 2.0531253814697266, 'learning_rate': 1.2158273381294964e-05, 'epoch': 7.57} -{'loss': 0.4212, 'grad_norm': 2.682028293609619, 'learning_rate': 1.214928057553957e-05, 'epoch': 7.57} -{'loss': 0.4088, 'grad_norm': 3.109205961227417, 'learning_rate': 1.2140287769784173e-05, 'epoch': 7.58} - 76%|██████████████████████████████████████████████████████████████████████████████████████████████▉ | 4230/5570 [1:07:14<18:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4257710874080658, 'eval_runtime': 1.5362, 'eval_samples_per_second': 468.687, 'eval_steps_per_second': 3.906, 'epoch': 7.58} -{'loss': 0.411, 'grad_norm': 2.504967451095581, 'learning_rate': 1.2131294964028777e-05, 'epoch': 7.58} -{'loss': 0.4121, 'grad_norm': 1.3865889310836792, 'learning_rate': 1.2122302158273383e-05, 'epoch': 7.58} -{'loss': 0.4152, 'grad_norm': 3.7109336853027344, 'learning_rate': 1.2113309352517987e-05, 'epoch': 7.58} -{'loss': 0.4214, 'grad_norm': 4.071508884429932, 'learning_rate': 1.210431654676259e-05, 'epoch': 7.58} -{'loss': 0.4235, 'grad_norm': 2.706655979156494, 'learning_rate': 1.2095323741007194e-05, 'epoch': 7.59} -{'loss': 0.4091, 'grad_norm': 2.9189414978027344, 'learning_rate': 1.20863309352518e-05, 'epoch': 7.59} -{'loss': 0.4176, 'grad_norm': 2.711257219314575, 'learning_rate': 1.2077338129496404e-05, 'epoch': 7.59} -{'loss': 0.4102, 'grad_norm': 1.9616665840148926, 'learning_rate': 1.2068345323741008e-05, 'epoch': 7.59} -{'loss': 0.4159, 'grad_norm': 1.2492643594741821, 'learning_rate': 1.2059352517985611e-05, 'epoch': 7.59} -{'loss': 0.4158, 'grad_norm': 1.8303248882293701, 'learning_rate': 1.2050359712230217e-05, 'epoch': 7.59} - 76%|███████████████████████████████████████████████████████████████████████████████████████████████▏ | 4240/5570 [1:07:24<18:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4264277219772339, 'eval_runtime': 1.5297, 'eval_samples_per_second': 470.669, 'eval_steps_per_second': 3.922, 'epoch': 7.59} -{'loss': 0.4157, 'grad_norm': 2.2134010791778564, 'learning_rate': 1.2041366906474821e-05, 'epoch': 7.6} -{'loss': 0.4061, 'grad_norm': 1.6631132364273071, 'learning_rate': 1.2032374100719425e-05, 'epoch': 7.6} -{'loss': 0.4108, 'grad_norm': 2.6521248817443848, 'learning_rate': 1.202338129496403e-05, 'epoch': 7.6} -{'loss': 0.4118, 'grad_norm': 2.705592632293701, 'learning_rate': 1.2014388489208634e-05, 'epoch': 7.6} -{'loss': 0.4111, 'grad_norm': 1.3641846179962158, 'learning_rate': 1.2005395683453238e-05, 'epoch': 7.6} -{'loss': 0.4074, 'grad_norm': 1.207787275314331, 'learning_rate': 1.1996402877697842e-05, 'epoch': 7.61} -{'loss': 0.4119, 'grad_norm': 3.6477701663970947, 'learning_rate': 1.1987410071942447e-05, 'epoch': 7.61} -{'loss': 0.4203, 'grad_norm': 5.202508926391602, 'learning_rate': 1.197841726618705e-05, 'epoch': 7.61} -{'loss': 0.4261, 'grad_norm': 3.323305606842041, 'learning_rate': 1.1969424460431655e-05, 'epoch': 7.61} -{'loss': 0.4139, 'grad_norm': 1.5776917934417725, 'learning_rate': 1.196043165467626e-05, 'epoch': 7.61} - 76%|███████████████████████████████████████████████████████████████████████████████████████████████▍ | 4250/5570 [1:07:34<17:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42714929580688477, 'eval_runtime': 1.5258, 'eval_samples_per_second': 471.878, 'eval_steps_per_second': 3.932, 'epoch': 7.61} -{'loss': 0.411, 'grad_norm': 2.8725056648254395, 'learning_rate': 1.1951438848920865e-05, 'epoch': 7.61} -{'loss': 0.4146, 'grad_norm': 3.880286931991577, 'learning_rate': 1.1942446043165468e-05, 'epoch': 7.62} -{'loss': 0.4198, 'grad_norm': 2.8285820484161377, 'learning_rate': 1.1933453237410072e-05, 'epoch': 7.62} -{'loss': 0.4057, 'grad_norm': 1.2996746301651, 'learning_rate': 1.1924460431654678e-05, 'epoch': 7.62} -{'loss': 0.4102, 'grad_norm': 1.954360008239746, 'learning_rate': 1.191546762589928e-05, 'epoch': 7.62} -{'loss': 0.4069, 'grad_norm': 3.883744716644287, 'learning_rate': 1.1906474820143885e-05, 'epoch': 7.62} -{'loss': 0.4082, 'grad_norm': 1.4688236713409424, 'learning_rate': 1.1897482014388491e-05, 'epoch': 7.62} -{'loss': 0.4218, 'grad_norm': 2.3230960369110107, 'learning_rate': 1.1888489208633093e-05, 'epoch': 7.63} -{'loss': 0.4109, 'grad_norm': 1.7228126525878906, 'learning_rate': 1.1879496402877699e-05, 'epoch': 7.63} -{'loss': 0.4166, 'grad_norm': 1.9108617305755615, 'learning_rate': 1.1870503597122303e-05, 'epoch': 7.63} - 76%|███████████████████████████████████████████████████████████████████████████████████████████████▌ | 4260/5570 [1:07:43<17:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4262174069881439, 'eval_runtime': 1.5315, 'eval_samples_per_second': 470.113, 'eval_steps_per_second': 3.918, 'epoch': 7.63} -{'loss': 0.4072, 'grad_norm': 1.7063636779785156, 'learning_rate': 1.1861510791366908e-05, 'epoch': 7.63} -{'loss': 0.4113, 'grad_norm': 2.834383010864258, 'learning_rate': 1.185251798561151e-05, 'epoch': 7.63} -{'loss': 0.414, 'grad_norm': 3.0603246688842773, 'learning_rate': 1.1843525179856116e-05, 'epoch': 7.64} -{'loss': 0.4074, 'grad_norm': 2.5167739391326904, 'learning_rate': 1.183453237410072e-05, 'epoch': 7.64} -{'loss': 0.4148, 'grad_norm': 2.5813510417938232, 'learning_rate': 1.1825539568345324e-05, 'epoch': 7.64} -{'loss': 0.4181, 'grad_norm': 3.696962833404541, 'learning_rate': 1.1816546762589929e-05, 'epoch': 7.64} -{'loss': 0.4203, 'grad_norm': 2.9732956886291504, 'learning_rate': 1.1807553956834533e-05, 'epoch': 7.64} -{'loss': 0.4089, 'grad_norm': 1.8938517570495605, 'learning_rate': 1.1798561151079138e-05, 'epoch': 7.64} -{'loss': 0.4157, 'grad_norm': 1.410047173500061, 'learning_rate': 1.178956834532374e-05, 'epoch': 7.65} -{'loss': 0.4173, 'grad_norm': 3.1000113487243652, 'learning_rate': 1.1780575539568346e-05, 'epoch': 7.65} - 77%|███████████████████████████████████████████████████████████████████████████████████████████████▊ | 4270/5570 [1:07:53<17:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250510632991791, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.306, 'eval_steps_per_second': 3.936, 'epoch': 7.65} -{'loss': 0.4172, 'grad_norm': 1.4079467058181763, 'learning_rate': 1.177158273381295e-05, 'epoch': 7.65} -{'loss': 0.4064, 'grad_norm': 1.9932425022125244, 'learning_rate': 1.1762589928057554e-05, 'epoch': 7.65} -{'loss': 0.4213, 'grad_norm': 2.3501217365264893, 'learning_rate': 1.1753597122302158e-05, 'epoch': 7.65} -{'loss': 0.4048, 'grad_norm': 2.1177706718444824, 'learning_rate': 1.1744604316546763e-05, 'epoch': 7.66} -{'loss': 0.4123, 'grad_norm': 1.4443843364715576, 'learning_rate': 1.1735611510791369e-05, 'epoch': 7.66} -{'loss': 0.4052, 'grad_norm': 1.8355480432510376, 'learning_rate': 1.1726618705035971e-05, 'epoch': 7.66} -{'loss': 0.4211, 'grad_norm': 2.5533578395843506, 'learning_rate': 1.1717625899280577e-05, 'epoch': 7.66} -{'loss': 0.4067, 'grad_norm': 1.2392171621322632, 'learning_rate': 1.170863309352518e-05, 'epoch': 7.66} -{'loss': 0.4161, 'grad_norm': 1.780961275100708, 'learning_rate': 1.1699640287769784e-05, 'epoch': 7.66} -{'loss': 0.4061, 'grad_norm': 2.684112071990967, 'learning_rate': 1.1690647482014388e-05, 'epoch': 7.67} - 77%|████████████████████████████████████████████████████████████████████████████████████████████████ | 4280/5570 [1:08:02<17:25, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42644762992858887, 'eval_runtime': 1.5256, 'eval_samples_per_second': 471.955, 'eval_steps_per_second': 3.933, 'epoch': 7.67} -{'loss': 0.413, 'grad_norm': 2.3336594104766846, 'learning_rate': 1.1681654676258994e-05, 'epoch': 7.67} -{'loss': 0.4142, 'grad_norm': 1.834647297859192, 'learning_rate': 1.1672661870503598e-05, 'epoch': 7.67} -{'loss': 0.4242, 'grad_norm': 2.4062929153442383, 'learning_rate': 1.1663669064748201e-05, 'epoch': 7.67} -{'loss': 0.4155, 'grad_norm': 1.9271187782287598, 'learning_rate': 1.1654676258992807e-05, 'epoch': 7.67} -{'loss': 0.3993, 'grad_norm': 1.135575294494629, 'learning_rate': 1.164568345323741e-05, 'epoch': 7.68} -{'loss': 0.409, 'grad_norm': 1.4660314321517944, 'learning_rate': 1.1636690647482015e-05, 'epoch': 7.68} -{'loss': 0.4153, 'grad_norm': 1.0149219036102295, 'learning_rate': 1.1627697841726619e-05, 'epoch': 7.68} -{'loss': 0.4151, 'grad_norm': 2.2780508995056152, 'learning_rate': 1.1618705035971224e-05, 'epoch': 7.68} -{'loss': 0.4173, 'grad_norm': 3.2689855098724365, 'learning_rate': 1.1609712230215828e-05, 'epoch': 7.68} -{'loss': 0.4172, 'grad_norm': 2.9480252265930176, 'learning_rate': 1.1600719424460432e-05, 'epoch': 7.68} - 77%|████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4290/5570 [1:08:12<17:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4269859194755554, 'eval_runtime': 1.5251, 'eval_samples_per_second': 472.094, 'eval_steps_per_second': 3.934, 'epoch': 7.68} -{'loss': 0.4207, 'grad_norm': 2.7682044506073, 'learning_rate': 1.1591726618705037e-05, 'epoch': 7.69} -{'loss': 0.414, 'grad_norm': 2.284682273864746, 'learning_rate': 1.1582733812949641e-05, 'epoch': 7.69} -{'loss': 0.4224, 'grad_norm': 3.6551730632781982, 'learning_rate': 1.1573741007194245e-05, 'epoch': 7.69} -{'loss': 0.4234, 'grad_norm': 2.5584793090820312, 'learning_rate': 1.1564748201438849e-05, 'epoch': 7.69} -{'loss': 0.4165, 'grad_norm': 3.8659749031066895, 'learning_rate': 1.1555755395683454e-05, 'epoch': 7.69} -{'loss': 0.4121, 'grad_norm': 2.7879478931427, 'learning_rate': 1.1546762589928058e-05, 'epoch': 7.69} -{'loss': 0.4108, 'grad_norm': 1.2367970943450928, 'learning_rate': 1.1537769784172662e-05, 'epoch': 7.7} -{'loss': 0.4201, 'grad_norm': 1.8380866050720215, 'learning_rate': 1.1528776978417266e-05, 'epoch': 7.7} -{'loss': 0.4267, 'grad_norm': 2.992307424545288, 'learning_rate': 1.1519784172661872e-05, 'epoch': 7.7} -{'loss': 0.4175, 'grad_norm': 1.3634401559829712, 'learning_rate': 1.1510791366906475e-05, 'epoch': 7.7} - 77%|████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4300/5570 [1:08:21<17:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42650553584098816, 'eval_runtime': 1.5277, 'eval_samples_per_second': 471.309, 'eval_steps_per_second': 3.928, 'epoch': 7.7} -{'loss': 0.4237, 'grad_norm': 2.905491828918457, 'learning_rate': 1.150179856115108e-05, 'epoch': 7.7} -{'loss': 0.4153, 'grad_norm': 2.379769802093506, 'learning_rate': 1.1492805755395685e-05, 'epoch': 7.71} -{'loss': 0.4175, 'grad_norm': 3.2994847297668457, 'learning_rate': 1.1483812949640289e-05, 'epoch': 7.71} -{'loss': 0.4103, 'grad_norm': 1.8727048635482788, 'learning_rate': 1.1474820143884892e-05, 'epoch': 7.71} -{'loss': 0.4137, 'grad_norm': 1.8869061470031738, 'learning_rate': 1.1465827338129496e-05, 'epoch': 7.71} -{'loss': 0.4056, 'grad_norm': 1.3484430313110352, 'learning_rate': 1.1456834532374102e-05, 'epoch': 7.71} -{'loss': 0.4027, 'grad_norm': 0.9464239478111267, 'learning_rate': 1.1447841726618706e-05, 'epoch': 7.71} -{'loss': 0.4054, 'grad_norm': 2.8569605350494385, 'learning_rate': 1.143884892086331e-05, 'epoch': 7.72} -{'loss': 0.4108, 'grad_norm': 1.2757999897003174, 'learning_rate': 1.1429856115107915e-05, 'epoch': 7.72} -{'loss': 0.4078, 'grad_norm': 2.7481677532196045, 'learning_rate': 1.1420863309352519e-05, 'epoch': 7.72} - 77%|████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4310/5570 [1:08:31<17:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42729368805885315, 'eval_runtime': 1.519, 'eval_samples_per_second': 474.011, 'eval_steps_per_second': 3.95, 'epoch': 7.72} -{'loss': 0.4149, 'grad_norm': 1.9057505130767822, 'learning_rate': 1.1411870503597123e-05, 'epoch': 7.72} -{'loss': 0.4084, 'grad_norm': 2.016300916671753, 'learning_rate': 1.1402877697841727e-05, 'epoch': 7.72} -{'loss': 0.4217, 'grad_norm': 3.376070022583008, 'learning_rate': 1.1393884892086332e-05, 'epoch': 7.73} -{'loss': 0.4228, 'grad_norm': 4.366394519805908, 'learning_rate': 1.1384892086330934e-05, 'epoch': 7.73} -{'loss': 0.4142, 'grad_norm': 2.152604341506958, 'learning_rate': 1.137589928057554e-05, 'epoch': 7.73} -{'loss': 0.4147, 'grad_norm': 2.1585512161254883, 'learning_rate': 1.1366906474820146e-05, 'epoch': 7.73} -{'loss': 0.4131, 'grad_norm': 2.777195453643799, 'learning_rate': 1.135791366906475e-05, 'epoch': 7.73} -{'loss': 0.4162, 'grad_norm': 1.9465663433074951, 'learning_rate': 1.1348920863309353e-05, 'epoch': 7.73} -{'loss': 0.4072, 'grad_norm': 1.0611220598220825, 'learning_rate': 1.1339928057553957e-05, 'epoch': 7.74} -{'loss': 0.4008, 'grad_norm': 1.5832946300506592, 'learning_rate': 1.1330935251798563e-05, 'epoch': 7.74} - 78%|████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4320/5570 [1:08:40<16:51, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4274659752845764, 'eval_runtime': 1.5086, 'eval_samples_per_second': 477.267, 'eval_steps_per_second': 3.977, 'epoch': 7.74} -{'loss': 0.4173, 'grad_norm': 2.010361433029175, 'learning_rate': 1.1321942446043165e-05, 'epoch': 7.74} -{'loss': 0.4097, 'grad_norm': 1.5555334091186523, 'learning_rate': 1.131294964028777e-05, 'epoch': 7.74} -{'loss': 0.4054, 'grad_norm': 1.5644969940185547, 'learning_rate': 1.1303956834532374e-05, 'epoch': 7.74} -{'loss': 0.419, 'grad_norm': 2.9959235191345215, 'learning_rate': 1.129496402877698e-05, 'epoch': 7.75} -{'loss': 0.402, 'grad_norm': 2.263394832611084, 'learning_rate': 1.1285971223021584e-05, 'epoch': 7.75} -{'loss': 0.4131, 'grad_norm': 1.5133000612258911, 'learning_rate': 1.1276978417266187e-05, 'epoch': 7.75} -{'loss': 0.3972, 'grad_norm': 1.8139134645462036, 'learning_rate': 1.1267985611510793e-05, 'epoch': 7.75} -{'loss': 0.4169, 'grad_norm': 1.6088248491287231, 'learning_rate': 1.1258992805755395e-05, 'epoch': 7.75} -{'loss': 0.4067, 'grad_norm': 2.217599630355835, 'learning_rate': 1.125e-05, 'epoch': 7.75} -{'loss': 0.4106, 'grad_norm': 1.2919797897338867, 'learning_rate': 1.1241007194244605e-05, 'epoch': 7.76} - 78%|█████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4330/5570 [1:08:50<16:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4251805543899536, 'eval_runtime': 1.5183, 'eval_samples_per_second': 474.201, 'eval_steps_per_second': 3.952, 'epoch': 7.76} -{'loss': 0.4158, 'grad_norm': 2.3074705600738525, 'learning_rate': 1.123201438848921e-05, 'epoch': 7.76} -{'loss': 0.4135, 'grad_norm': 1.657857894897461, 'learning_rate': 1.1223021582733812e-05, 'epoch': 7.76} -{'loss': 0.4091, 'grad_norm': 2.597543239593506, 'learning_rate': 1.1214028776978418e-05, 'epoch': 7.76} -{'loss': 0.4172, 'grad_norm': 1.1290631294250488, 'learning_rate': 1.1205035971223023e-05, 'epoch': 7.76} -{'loss': 0.4125, 'grad_norm': 2.0727405548095703, 'learning_rate': 1.1196043165467626e-05, 'epoch': 7.76} -{'loss': 0.4157, 'grad_norm': 1.4555492401123047, 'learning_rate': 1.1187050359712231e-05, 'epoch': 7.77} -{'loss': 0.4064, 'grad_norm': 1.2714366912841797, 'learning_rate': 1.1178057553956835e-05, 'epoch': 7.77} -{'loss': 0.4275, 'grad_norm': 3.070948362350464, 'learning_rate': 1.1169064748201439e-05, 'epoch': 7.77} -{'loss': 0.4237, 'grad_norm': 1.6992074251174927, 'learning_rate': 1.1160071942446043e-05, 'epoch': 7.77} -{'loss': 0.4136, 'grad_norm': 2.1989502906799316, 'learning_rate': 1.1151079136690648e-05, 'epoch': 7.77} - 78%|█████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4340/5570 [1:08:59<16:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42490044236183167, 'eval_runtime': 1.5446, 'eval_samples_per_second': 466.135, 'eval_steps_per_second': 3.884, 'epoch': 7.77} -{'loss': 0.4199, 'grad_norm': 2.394139051437378, 'learning_rate': 1.1142086330935254e-05, 'epoch': 7.78} -{'loss': 0.4108, 'grad_norm': 1.3383749723434448, 'learning_rate': 1.1133093525179856e-05, 'epoch': 7.78} -{'loss': 0.4127, 'grad_norm': 1.8841581344604492, 'learning_rate': 1.1124100719424461e-05, 'epoch': 7.78} -{'loss': 0.4099, 'grad_norm': 2.3038489818573, 'learning_rate': 1.1115107913669065e-05, 'epoch': 7.78} -{'loss': 0.4133, 'grad_norm': 2.9668712615966797, 'learning_rate': 1.1106115107913669e-05, 'epoch': 7.78} -{'loss': 0.4179, 'grad_norm': 2.777513027191162, 'learning_rate': 1.1097122302158273e-05, 'epoch': 7.78} -{'loss': 0.4049, 'grad_norm': 1.6109732389450073, 'learning_rate': 1.1088129496402879e-05, 'epoch': 7.79} -{'loss': 0.4119, 'grad_norm': 2.237527847290039, 'learning_rate': 1.1079136690647482e-05, 'epoch': 7.79} -{'loss': 0.4206, 'grad_norm': 4.319352149963379, 'learning_rate': 1.1070143884892086e-05, 'epoch': 7.79} -{'loss': 0.4075, 'grad_norm': 1.214501976966858, 'learning_rate': 1.1061151079136692e-05, 'epoch': 7.79} - 78%|█████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4350/5570 [1:09:09<16:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4261215925216675, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.274, 'eval_steps_per_second': 3.919, 'epoch': 7.79} -{'loss': 0.4122, 'grad_norm': 2.8518214225769043, 'learning_rate': 1.1052158273381296e-05, 'epoch': 7.79} -{'loss': 0.4034, 'grad_norm': 2.6340951919555664, 'learning_rate': 1.10431654676259e-05, 'epoch': 7.8} -{'loss': 0.4147, 'grad_norm': 1.6724199056625366, 'learning_rate': 1.1034172661870503e-05, 'epoch': 7.8} -{'loss': 0.3994, 'grad_norm': 2.257093906402588, 'learning_rate': 1.1025179856115109e-05, 'epoch': 7.8} -{'loss': 0.4063, 'grad_norm': 3.713367462158203, 'learning_rate': 1.1016187050359713e-05, 'epoch': 7.8} -{'loss': 0.4188, 'grad_norm': 2.5512349605560303, 'learning_rate': 1.1007194244604317e-05, 'epoch': 7.8} -{'loss': 0.4131, 'grad_norm': 1.554248332977295, 'learning_rate': 1.099820143884892e-05, 'epoch': 7.8} -{'loss': 0.4201, 'grad_norm': 3.288870334625244, 'learning_rate': 1.0989208633093526e-05, 'epoch': 7.81} -{'loss': 0.4242, 'grad_norm': 4.202270984649658, 'learning_rate': 1.098021582733813e-05, 'epoch': 7.81} -{'loss': 0.4165, 'grad_norm': 2.4381306171417236, 'learning_rate': 1.0971223021582734e-05, 'epoch': 7.81} - 78%|█████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4360/5570 [1:09:19<16:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42419514060020447, 'eval_runtime': 1.5449, 'eval_samples_per_second': 466.051, 'eval_steps_per_second': 3.884, 'epoch': 7.81} -{'loss': 0.4179, 'grad_norm': 2.5786921977996826, 'learning_rate': 1.096223021582734e-05, 'epoch': 7.81} -{'loss': 0.4038, 'grad_norm': 2.211805582046509, 'learning_rate': 1.0953237410071943e-05, 'epoch': 7.81} -{'loss': 0.4121, 'grad_norm': 2.9660964012145996, 'learning_rate': 1.0944244604316547e-05, 'epoch': 7.82} -{'loss': 0.4136, 'grad_norm': 2.7692995071411133, 'learning_rate': 1.0935251798561151e-05, 'epoch': 7.82} -{'loss': 0.417, 'grad_norm': 2.7850663661956787, 'learning_rate': 1.0926258992805756e-05, 'epoch': 7.82} -{'loss': 0.4167, 'grad_norm': 1.4912223815917969, 'learning_rate': 1.091726618705036e-05, 'epoch': 7.82} -{'loss': 0.4068, 'grad_norm': 1.511879563331604, 'learning_rate': 1.0908273381294964e-05, 'epoch': 7.82} -{'loss': 0.4173, 'grad_norm': 1.5235846042633057, 'learning_rate': 1.089928057553957e-05, 'epoch': 7.82} -{'loss': 0.4173, 'grad_norm': 2.687262773513794, 'learning_rate': 1.0890287769784174e-05, 'epoch': 7.83} -{'loss': 0.4141, 'grad_norm': 1.9818575382232666, 'learning_rate': 1.0881294964028777e-05, 'epoch': 7.83} - 78%|██████████████████████████████████████████████████████████████████████████████████████████████████ | 4370/5570 [1:09:28<16:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4252030551433563, 'eval_runtime': 1.5181, 'eval_samples_per_second': 474.267, 'eval_steps_per_second': 3.952, 'epoch': 7.83} -{'loss': 0.4023, 'grad_norm': 1.9130362272262573, 'learning_rate': 1.0872302158273381e-05, 'epoch': 7.83} -{'loss': 0.417, 'grad_norm': 1.6985059976577759, 'learning_rate': 1.0863309352517987e-05, 'epoch': 7.83} -{'loss': 0.4197, 'grad_norm': 2.4657654762268066, 'learning_rate': 1.085431654676259e-05, 'epoch': 7.83} -{'loss': 0.4107, 'grad_norm': 2.460212469100952, 'learning_rate': 1.0845323741007194e-05, 'epoch': 7.83} -{'loss': 0.413, 'grad_norm': 1.7461861371994019, 'learning_rate': 1.08363309352518e-05, 'epoch': 7.84} -{'loss': 0.4193, 'grad_norm': 4.109731197357178, 'learning_rate': 1.0827338129496404e-05, 'epoch': 7.84} -{'loss': 0.4065, 'grad_norm': 2.8406386375427246, 'learning_rate': 1.0818345323741008e-05, 'epoch': 7.84} -{'loss': 0.413, 'grad_norm': 2.136831283569336, 'learning_rate': 1.0809352517985612e-05, 'epoch': 7.84} -{'loss': 0.4155, 'grad_norm': 1.4159505367279053, 'learning_rate': 1.0800359712230217e-05, 'epoch': 7.84} -{'loss': 0.426, 'grad_norm': 4.000827789306641, 'learning_rate': 1.0791366906474821e-05, 'epoch': 7.85} - 79%|██████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4380/5570 [1:09:38<16:23, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4302690327167511, 'eval_runtime': 1.5203, 'eval_samples_per_second': 473.604, 'eval_steps_per_second': 3.947, 'epoch': 7.85} -{'loss': 0.4163, 'grad_norm': 3.931688070297241, 'learning_rate': 1.0782374100719425e-05, 'epoch': 7.85} -{'loss': 0.4069, 'grad_norm': 3.0783445835113525, 'learning_rate': 1.0773381294964029e-05, 'epoch': 7.85} -{'loss': 0.406, 'grad_norm': 2.488903522491455, 'learning_rate': 1.0764388489208634e-05, 'epoch': 7.85} -{'loss': 0.4073, 'grad_norm': 3.480039596557617, 'learning_rate': 1.0755395683453238e-05, 'epoch': 7.85} -{'loss': 0.417, 'grad_norm': 4.445772647857666, 'learning_rate': 1.0746402877697842e-05, 'epoch': 7.85} -{'loss': 0.4077, 'grad_norm': 3.574864625930786, 'learning_rate': 1.0737410071942448e-05, 'epoch': 7.86} -{'loss': 0.4134, 'grad_norm': 3.608391523361206, 'learning_rate': 1.072841726618705e-05, 'epoch': 7.86} -{'loss': 0.4098, 'grad_norm': 3.2613744735717773, 'learning_rate': 1.0719424460431655e-05, 'epoch': 7.86} -{'loss': 0.4291, 'grad_norm': 3.7760848999023438, 'learning_rate': 1.0710431654676259e-05, 'epoch': 7.86} -{'loss': 0.4156, 'grad_norm': 3.5716984272003174, 'learning_rate': 1.0701438848920865e-05, 'epoch': 7.86} - 79%|██████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4390/5570 [1:09:47<15:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4261462688446045, 'eval_runtime': 1.5427, 'eval_samples_per_second': 466.707, 'eval_steps_per_second': 3.889, 'epoch': 7.86} -{'loss': 0.4099, 'grad_norm': 1.8905327320098877, 'learning_rate': 1.0692446043165468e-05, 'epoch': 7.87} -{'loss': 0.4151, 'grad_norm': 2.6749231815338135, 'learning_rate': 1.0683453237410072e-05, 'epoch': 7.87} -{'loss': 0.4203, 'grad_norm': 4.3802595138549805, 'learning_rate': 1.0674460431654678e-05, 'epoch': 7.87} -{'loss': 0.4111, 'grad_norm': 2.9416394233703613, 'learning_rate': 1.066546762589928e-05, 'epoch': 7.87} -{'loss': 0.4087, 'grad_norm': 3.120452880859375, 'learning_rate': 1.0656474820143886e-05, 'epoch': 7.87} -{'loss': 0.4113, 'grad_norm': 2.104785919189453, 'learning_rate': 1.064748201438849e-05, 'epoch': 7.87} -{'loss': 0.4079, 'grad_norm': 3.7426204681396484, 'learning_rate': 1.0638489208633095e-05, 'epoch': 7.88} -{'loss': 0.4145, 'grad_norm': 3.9993295669555664, 'learning_rate': 1.0629496402877697e-05, 'epoch': 7.88} -{'loss': 0.3972, 'grad_norm': 3.6771435737609863, 'learning_rate': 1.0620503597122303e-05, 'epoch': 7.88} -{'loss': 0.4146, 'grad_norm': 2.659644365310669, 'learning_rate': 1.0611510791366908e-05, 'epoch': 7.88} - 79%|██████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4400/5570 [1:09:57<15:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42438215017318726, 'eval_runtime': 1.5154, 'eval_samples_per_second': 475.127, 'eval_steps_per_second': 3.959, 'epoch': 7.88} -{'loss': 0.4042, 'grad_norm': 2.1298251152038574, 'learning_rate': 1.060251798561151e-05, 'epoch': 7.88} -{'loss': 0.4193, 'grad_norm': 3.4371750354766846, 'learning_rate': 1.0593525179856116e-05, 'epoch': 7.89} -{'loss': 0.4075, 'grad_norm': 2.3897712230682373, 'learning_rate': 1.058453237410072e-05, 'epoch': 7.89} -{'loss': 0.4022, 'grad_norm': 1.7946014404296875, 'learning_rate': 1.0575539568345325e-05, 'epoch': 7.89} -{'loss': 0.4085, 'grad_norm': 2.4982409477233887, 'learning_rate': 1.0566546762589928e-05, 'epoch': 7.89} -{'loss': 0.4094, 'grad_norm': 2.17769455909729, 'learning_rate': 1.0557553956834533e-05, 'epoch': 7.89} -{'loss': 0.4091, 'grad_norm': 1.6865400075912476, 'learning_rate': 1.0548561151079137e-05, 'epoch': 7.89} -{'loss': 0.4151, 'grad_norm': 1.7550008296966553, 'learning_rate': 1.053956834532374e-05, 'epoch': 7.9} -{'loss': 0.4126, 'grad_norm': 1.677625060081482, 'learning_rate': 1.0530575539568346e-05, 'epoch': 7.9} -{'loss': 0.4095, 'grad_norm': 1.492061972618103, 'learning_rate': 1.052158273381295e-05, 'epoch': 7.9} - 79%|██████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4410/5570 [1:10:06<15:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4236769676208496, 'eval_runtime': 1.5302, 'eval_samples_per_second': 470.541, 'eval_steps_per_second': 3.921, 'epoch': 7.9} -{'loss': 0.4083, 'grad_norm': 1.1629287004470825, 'learning_rate': 1.0512589928057556e-05, 'epoch': 7.9} -{'loss': 0.4148, 'grad_norm': 1.7972947359085083, 'learning_rate': 1.0503597122302158e-05, 'epoch': 7.9} -{'loss': 0.3978, 'grad_norm': 1.6892321109771729, 'learning_rate': 1.0494604316546763e-05, 'epoch': 7.9} -{'loss': 0.4155, 'grad_norm': 1.7964344024658203, 'learning_rate': 1.0485611510791367e-05, 'epoch': 7.91} -{'loss': 0.4147, 'grad_norm': 1.2160234451293945, 'learning_rate': 1.0476618705035971e-05, 'epoch': 7.91} -{'loss': 0.4129, 'grad_norm': 1.5089000463485718, 'learning_rate': 1.0467625899280575e-05, 'epoch': 7.91} -{'loss': 0.4133, 'grad_norm': 2.464264392852783, 'learning_rate': 1.045863309352518e-05, 'epoch': 7.91} -{'loss': 0.418, 'grad_norm': 2.4825003147125244, 'learning_rate': 1.0449640287769784e-05, 'epoch': 7.91} -{'loss': 0.4118, 'grad_norm': 2.4086177349090576, 'learning_rate': 1.0440647482014388e-05, 'epoch': 7.92} -{'loss': 0.4113, 'grad_norm': 2.701148748397827, 'learning_rate': 1.0431654676258994e-05, 'epoch': 7.92} - 79%|███████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4420/5570 [1:10:16<15:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42439180612564087, 'eval_runtime': 1.5398, 'eval_samples_per_second': 467.608, 'eval_steps_per_second': 3.897, 'epoch': 7.92} -{'loss': 0.4083, 'grad_norm': 1.6555447578430176, 'learning_rate': 1.0422661870503598e-05, 'epoch': 7.92} -{'loss': 0.4116, 'grad_norm': 1.603071689605713, 'learning_rate': 1.0413669064748202e-05, 'epoch': 7.92} -{'loss': 0.4249, 'grad_norm': 2.0926103591918945, 'learning_rate': 1.0404676258992805e-05, 'epoch': 7.92} -{'loss': 0.4059, 'grad_norm': 3.6022863388061523, 'learning_rate': 1.0395683453237411e-05, 'epoch': 7.92} -{'loss': 0.4185, 'grad_norm': 2.2881662845611572, 'learning_rate': 1.0386690647482015e-05, 'epoch': 7.93} -{'loss': 0.4094, 'grad_norm': 2.537987232208252, 'learning_rate': 1.0377697841726619e-05, 'epoch': 7.93} -{'loss': 0.4162, 'grad_norm': 3.311863899230957, 'learning_rate': 1.0368705035971224e-05, 'epoch': 7.93} -{'loss': 0.4145, 'grad_norm': 3.47072172164917, 'learning_rate': 1.0359712230215828e-05, 'epoch': 7.93} -{'loss': 0.4143, 'grad_norm': 2.591479539871216, 'learning_rate': 1.0350719424460432e-05, 'epoch': 7.93} -{'loss': 0.4052, 'grad_norm': 2.2826807498931885, 'learning_rate': 1.0341726618705036e-05, 'epoch': 7.94} - 80%|███████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4430/5570 [1:10:25<15:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42616844177246094, 'eval_runtime': 1.5552, 'eval_samples_per_second': 462.968, 'eval_steps_per_second': 3.858, 'epoch': 7.94} -{'loss': 0.412, 'grad_norm': 3.624103546142578, 'learning_rate': 1.0332733812949641e-05, 'epoch': 7.94} -{'loss': 0.4192, 'grad_norm': 5.197513103485107, 'learning_rate': 1.0323741007194245e-05, 'epoch': 7.94} -{'loss': 0.4197, 'grad_norm': 3.2961173057556152, 'learning_rate': 1.0314748201438849e-05, 'epoch': 7.94} -{'loss': 0.419, 'grad_norm': 1.9222142696380615, 'learning_rate': 1.0305755395683455e-05, 'epoch': 7.94} -{'loss': 0.4118, 'grad_norm': 2.354499578475952, 'learning_rate': 1.0296762589928058e-05, 'epoch': 7.94} -{'loss': 0.4069, 'grad_norm': 2.809631824493408, 'learning_rate': 1.0287769784172662e-05, 'epoch': 7.95} -{'loss': 0.4229, 'grad_norm': 4.3947930335998535, 'learning_rate': 1.0278776978417266e-05, 'epoch': 7.95} -{'loss': 0.4096, 'grad_norm': 1.568351149559021, 'learning_rate': 1.0269784172661872e-05, 'epoch': 7.95} -{'loss': 0.4152, 'grad_norm': 3.007169008255005, 'learning_rate': 1.0260791366906475e-05, 'epoch': 7.95} -{'loss': 0.4136, 'grad_norm': 2.408383846282959, 'learning_rate': 1.025179856115108e-05, 'epoch': 7.95} - 80%|███████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4440/5570 [1:10:35<15:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4247834086418152, 'eval_runtime': 1.5255, 'eval_samples_per_second': 471.963, 'eval_steps_per_second': 3.933, 'epoch': 7.95} -{'loss': 0.3997, 'grad_norm': 2.244641065597534, 'learning_rate': 1.0242805755395683e-05, 'epoch': 7.96} -{'loss': 0.415, 'grad_norm': 2.482666492462158, 'learning_rate': 1.0233812949640289e-05, 'epoch': 7.96} -{'loss': 0.4094, 'grad_norm': 2.541201114654541, 'learning_rate': 1.0224820143884893e-05, 'epoch': 7.96} -{'loss': 0.4164, 'grad_norm': 3.9583637714385986, 'learning_rate': 1.0215827338129496e-05, 'epoch': 7.96} -{'loss': 0.4156, 'grad_norm': 3.276930332183838, 'learning_rate': 1.0206834532374102e-05, 'epoch': 7.96} -{'loss': 0.4108, 'grad_norm': 2.0454890727996826, 'learning_rate': 1.0197841726618706e-05, 'epoch': 7.96} -{'loss': 0.4096, 'grad_norm': 2.3088626861572266, 'learning_rate': 1.018884892086331e-05, 'epoch': 7.97} -{'loss': 0.4199, 'grad_norm': 3.762781858444214, 'learning_rate': 1.0179856115107914e-05, 'epoch': 7.97} -{'loss': 0.4187, 'grad_norm': 2.3883540630340576, 'learning_rate': 1.0170863309352519e-05, 'epoch': 7.97} -{'loss': 0.4076, 'grad_norm': 1.7597811222076416, 'learning_rate': 1.0161870503597123e-05, 'epoch': 7.97} - 80%|███████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4450/5570 [1:10:45<15:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42381998896598816, 'eval_runtime': 1.5254, 'eval_samples_per_second': 472.001, 'eval_steps_per_second': 3.933, 'epoch': 7.97} -{'loss': 0.4163, 'grad_norm': 2.310931921005249, 'learning_rate': 1.0152877697841727e-05, 'epoch': 7.97} -{'loss': 0.4201, 'grad_norm': 2.407565116882324, 'learning_rate': 1.0143884892086332e-05, 'epoch': 7.97} -{'loss': 0.4143, 'grad_norm': 3.364530563354492, 'learning_rate': 1.0134892086330936e-05, 'epoch': 7.98} -{'loss': 0.4127, 'grad_norm': 1.3267217874526978, 'learning_rate': 1.012589928057554e-05, 'epoch': 7.98} -{'loss': 0.423, 'grad_norm': 3.5018820762634277, 'learning_rate': 1.0116906474820144e-05, 'epoch': 7.98} -{'loss': 0.4085, 'grad_norm': 2.494736433029175, 'learning_rate': 1.010791366906475e-05, 'epoch': 7.98} -{'loss': 0.4159, 'grad_norm': 3.5131587982177734, 'learning_rate': 1.0098920863309352e-05, 'epoch': 7.98} -{'loss': 0.4148, 'grad_norm': 2.788518190383911, 'learning_rate': 1.0089928057553957e-05, 'epoch': 7.99} -{'loss': 0.4106, 'grad_norm': 1.994468331336975, 'learning_rate': 1.0080935251798563e-05, 'epoch': 7.99} -{'loss': 0.4125, 'grad_norm': 3.3095033168792725, 'learning_rate': 1.0071942446043167e-05, 'epoch': 7.99} - 80%|████████████████████████████████████████████████████████████████████████████████████████████████████ | 4460/5570 [1:10:54<14:21, 1.29it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42461615800857544, 'eval_runtime': 1.5593, 'eval_samples_per_second': 461.743, 'eval_steps_per_second': 3.848, 'epoch': 7.99} -{'loss': 0.4115, 'grad_norm': 1.8966902494430542, 'learning_rate': 1.006294964028777e-05, 'epoch': 7.99} -{'loss': 0.4078, 'grad_norm': 2.0139875411987305, 'learning_rate': 1.0053956834532374e-05, 'epoch': 7.99} -{'loss': 0.4068, 'grad_norm': 1.7714855670928955, 'learning_rate': 1.004496402877698e-05, 'epoch': 7.99} -{'loss': 0.4094, 'grad_norm': 2.5768914222717285, 'learning_rate': 1.0035971223021582e-05, 'epoch': 8.0} -{'loss': 0.4138, 'grad_norm': 1.6321120262145996, 'learning_rate': 1.0026978417266188e-05, 'epoch': 8.0} -{'loss': 0.4204, 'grad_norm': 2.00166392326355, 'learning_rate': 1.0017985611510791e-05, 'epoch': 8.0} -{'loss': 0.402, 'grad_norm': 3.384989023208618, 'learning_rate': 1.0008992805755395e-05, 'epoch': 8.0} -{'loss': 0.4076, 'grad_norm': 3.607398509979248, 'learning_rate': 1e-05, 'epoch': 8.0} -{'loss': 0.4073, 'grad_norm': 1.695487141609192, 'learning_rate': 9.991007194244605e-06, 'epoch': 8.01} -{'loss': 0.3981, 'grad_norm': 2.6718099117279053, 'learning_rate': 9.98201438848921e-06, 'epoch': 8.01} - 80%|████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4470/5570 [1:11:03<14:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42382463812828064, 'eval_runtime': 1.5171, 'eval_samples_per_second': 474.584, 'eval_steps_per_second': 3.955, 'epoch': 8.01} -{'loss': 0.4087, 'grad_norm': 2.2239184379577637, 'learning_rate': 9.973021582733812e-06, 'epoch': 8.01} -{'loss': 0.4045, 'grad_norm': 1.627328634262085, 'learning_rate': 9.964028776978418e-06, 'epoch': 8.01} -{'loss': 0.4114, 'grad_norm': 2.3562679290771484, 'learning_rate': 9.955035971223022e-06, 'epoch': 8.01} -{'loss': 0.4149, 'grad_norm': 5.101049900054932, 'learning_rate': 9.946043165467626e-06, 'epoch': 8.01} -{'loss': 0.4267, 'grad_norm': 4.588959217071533, 'learning_rate': 9.937050359712231e-06, 'epoch': 8.02} -{'loss': 0.4054, 'grad_norm': 2.9102349281311035, 'learning_rate': 9.928057553956835e-06, 'epoch': 8.02} -{'loss': 0.4102, 'grad_norm': 1.5304148197174072, 'learning_rate': 9.91906474820144e-06, 'epoch': 8.02} -{'loss': 0.4077, 'grad_norm': 2.0116615295410156, 'learning_rate': 9.910071942446043e-06, 'epoch': 8.02} -{'loss': 0.4113, 'grad_norm': 3.4551820755004883, 'learning_rate': 9.901079136690648e-06, 'epoch': 8.02} -{'loss': 0.4114, 'grad_norm': 3.1507272720336914, 'learning_rate': 9.892086330935252e-06, 'epoch': 8.03} - 80%|████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4480/5570 [1:11:13<14:45, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42532867193222046, 'eval_runtime': 1.526, 'eval_samples_per_second': 471.813, 'eval_steps_per_second': 3.932, 'epoch': 8.03} -{'loss': 0.4014, 'grad_norm': 2.521397113800049, 'learning_rate': 9.883093525179856e-06, 'epoch': 8.03} -{'loss': 0.4013, 'grad_norm': 1.8785449266433716, 'learning_rate': 9.87410071942446e-06, 'epoch': 8.03} -{'loss': 0.4127, 'grad_norm': 3.9818243980407715, 'learning_rate': 9.865107913669065e-06, 'epoch': 8.03} -{'loss': 0.4095, 'grad_norm': 2.8376383781433105, 'learning_rate': 9.856115107913671e-06, 'epoch': 8.03} -{'loss': 0.3987, 'grad_norm': 3.112642288208008, 'learning_rate': 9.847122302158273e-06, 'epoch': 8.03} -{'loss': 0.4055, 'grad_norm': 2.072002410888672, 'learning_rate': 9.838129496402879e-06, 'epoch': 8.04} -{'loss': 0.4016, 'grad_norm': 3.4403884410858154, 'learning_rate': 9.829136690647483e-06, 'epoch': 8.04} -{'loss': 0.4127, 'grad_norm': 3.688814163208008, 'learning_rate': 9.820143884892086e-06, 'epoch': 8.04} -{'loss': 0.4096, 'grad_norm': 1.9996100664138794, 'learning_rate': 9.81115107913669e-06, 'epoch': 8.04} -{'loss': 0.4107, 'grad_norm': 1.5571569204330444, 'learning_rate': 9.802158273381296e-06, 'epoch': 8.04} - 81%|████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4490/5570 [1:11:22<14:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42660048604011536, 'eval_runtime': 1.5055, 'eval_samples_per_second': 478.247, 'eval_steps_per_second': 3.985, 'epoch': 8.04} -{'loss': 0.4062, 'grad_norm': 2.1996121406555176, 'learning_rate': 9.7931654676259e-06, 'epoch': 8.04} -{'loss': 0.4136, 'grad_norm': 3.9039041996002197, 'learning_rate': 9.784172661870503e-06, 'epoch': 8.05} -{'loss': 0.4144, 'grad_norm': 4.110682010650635, 'learning_rate': 9.775179856115109e-06, 'epoch': 8.05} -{'loss': 0.4098, 'grad_norm': 2.853943347930908, 'learning_rate': 9.766187050359713e-06, 'epoch': 8.05} -{'loss': 0.3986, 'grad_norm': 1.6352475881576538, 'learning_rate': 9.757194244604317e-06, 'epoch': 8.05} -{'loss': 0.4133, 'grad_norm': 3.0388827323913574, 'learning_rate': 9.74820143884892e-06, 'epoch': 8.05} -{'loss': 0.4054, 'grad_norm': 4.522564888000488, 'learning_rate': 9.739208633093526e-06, 'epoch': 8.06} -{'loss': 0.4098, 'grad_norm': 4.4559736251831055, 'learning_rate': 9.73021582733813e-06, 'epoch': 8.06} -{'loss': 0.3976, 'grad_norm': 1.5739892721176147, 'learning_rate': 9.721223021582734e-06, 'epoch': 8.06} -{'loss': 0.4072, 'grad_norm': 3.3914294242858887, 'learning_rate': 9.71223021582734e-06, 'epoch': 8.06} - 81%|████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4500/5570 [1:11:32<14:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4270259439945221, 'eval_runtime': 1.5295, 'eval_samples_per_second': 470.731, 'eval_steps_per_second': 3.923, 'epoch': 8.06} -{'loss': 0.4039, 'grad_norm': 2.8234493732452393, 'learning_rate': 9.703237410071943e-06, 'epoch': 8.06} -{'loss': 0.3962, 'grad_norm': 2.3895137310028076, 'learning_rate': 9.694244604316547e-06, 'epoch': 8.06} -{'loss': 0.4107, 'grad_norm': 4.589803218841553, 'learning_rate': 9.685251798561151e-06, 'epoch': 8.07} -{'loss': 0.4109, 'grad_norm': 3.544175863265991, 'learning_rate': 9.676258992805757e-06, 'epoch': 8.07} -{'loss': 0.4074, 'grad_norm': 2.7393484115600586, 'learning_rate': 9.66726618705036e-06, 'epoch': 8.07} -{'loss': 0.4084, 'grad_norm': 3.0247583389282227, 'learning_rate': 9.658273381294964e-06, 'epoch': 8.07} -{'loss': 0.4109, 'grad_norm': 2.0733134746551514, 'learning_rate': 9.649280575539568e-06, 'epoch': 8.07} -{'loss': 0.4037, 'grad_norm': 2.146806001663208, 'learning_rate': 9.640287769784174e-06, 'epoch': 8.08} -{'loss': 0.4154, 'grad_norm': 3.779482126235962, 'learning_rate': 9.631294964028777e-06, 'epoch': 8.08} -{'loss': 0.4004, 'grad_norm': 2.3379266262054443, 'learning_rate': 9.622302158273381e-06, 'epoch': 8.08} - 81%|█████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4510/5570 [1:11:41<14:25, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4264505207538605, 'eval_runtime': 1.5233, 'eval_samples_per_second': 472.658, 'eval_steps_per_second': 3.939, 'epoch': 8.08} -{'loss': 0.41, 'grad_norm': 2.8836705684661865, 'learning_rate': 9.613309352517987e-06, 'epoch': 8.08} -{'loss': 0.4086, 'grad_norm': 3.104168653488159, 'learning_rate': 9.60431654676259e-06, 'epoch': 8.08} -{'loss': 0.4067, 'grad_norm': 4.549011707305908, 'learning_rate': 9.595323741007195e-06, 'epoch': 8.08} -{'loss': 0.3955, 'grad_norm': 2.9580845832824707, 'learning_rate': 9.586330935251798e-06, 'epoch': 8.09} -{'loss': 0.4076, 'grad_norm': 1.3861511945724487, 'learning_rate': 9.577338129496404e-06, 'epoch': 8.09} -{'loss': 0.4087, 'grad_norm': 2.3034849166870117, 'learning_rate': 9.568345323741008e-06, 'epoch': 8.09} -{'loss': 0.4184, 'grad_norm': 3.398369073867798, 'learning_rate': 9.559352517985612e-06, 'epoch': 8.09} -{'loss': 0.4113, 'grad_norm': 1.6781692504882812, 'learning_rate': 9.550359712230217e-06, 'epoch': 8.09} -{'loss': 0.3911, 'grad_norm': 1.4763352870941162, 'learning_rate': 9.541366906474821e-06, 'epoch': 8.1} -{'loss': 0.3938, 'grad_norm': 1.7149808406829834, 'learning_rate': 9.532374100719425e-06, 'epoch': 8.1} - 81%|█████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4520/5570 [1:11:51<14:26, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250529110431671, 'eval_runtime': 1.5453, 'eval_samples_per_second': 465.93, 'eval_steps_per_second': 3.883, 'epoch': 8.1} -{'loss': 0.4018, 'grad_norm': 2.3032703399658203, 'learning_rate': 9.523381294964029e-06, 'epoch': 8.1} -{'loss': 0.4023, 'grad_norm': 2.1606743335723877, 'learning_rate': 9.514388489208634e-06, 'epoch': 8.1} -{'loss': 0.4039, 'grad_norm': 2.011265277862549, 'learning_rate': 9.505395683453237e-06, 'epoch': 8.1} -{'loss': 0.4063, 'grad_norm': 1.6381700038909912, 'learning_rate': 9.496402877697842e-06, 'epoch': 8.1} -{'loss': 0.4037, 'grad_norm': 1.7151458263397217, 'learning_rate': 9.487410071942448e-06, 'epoch': 8.11} -{'loss': 0.4099, 'grad_norm': 2.0022776126861572, 'learning_rate': 9.478417266187051e-06, 'epoch': 8.11} -{'loss': 0.3982, 'grad_norm': 1.5511317253112793, 'learning_rate': 9.469424460431655e-06, 'epoch': 8.11} -{'loss': 0.4015, 'grad_norm': 2.555555582046509, 'learning_rate': 9.46043165467626e-06, 'epoch': 8.11} -{'loss': 0.4104, 'grad_norm': 2.3826048374176025, 'learning_rate': 9.451438848920865e-06, 'epoch': 8.11} -{'loss': 0.409, 'grad_norm': 2.500859498977661, 'learning_rate': 9.442446043165467e-06, 'epoch': 8.11} - 81%|█████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4530/5570 [1:12:01<14:12, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4243934750556946, 'eval_runtime': 1.5401, 'eval_samples_per_second': 467.503, 'eval_steps_per_second': 3.896, 'epoch': 8.11} -{'loss': 0.4086, 'grad_norm': 2.0770511627197266, 'learning_rate': 9.433453237410072e-06, 'epoch': 8.12} -{'loss': 0.4126, 'grad_norm': 2.1221511363983154, 'learning_rate': 9.424460431654676e-06, 'epoch': 8.12} -{'loss': 0.409, 'grad_norm': 2.979461193084717, 'learning_rate': 9.415467625899282e-06, 'epoch': 8.12} -{'loss': 0.4082, 'grad_norm': 2.0474953651428223, 'learning_rate': 9.406474820143886e-06, 'epoch': 8.12} -{'loss': 0.4015, 'grad_norm': 1.6919077634811401, 'learning_rate': 9.39748201438849e-06, 'epoch': 8.12} -{'loss': 0.4052, 'grad_norm': 2.455465078353882, 'learning_rate': 9.388489208633095e-06, 'epoch': 8.13} -{'loss': 0.4114, 'grad_norm': 2.6036715507507324, 'learning_rate': 9.379496402877697e-06, 'epoch': 8.13} -{'loss': 0.4054, 'grad_norm': 1.8693530559539795, 'learning_rate': 9.370503597122303e-06, 'epoch': 8.13} -{'loss': 0.399, 'grad_norm': 1.4481441974639893, 'learning_rate': 9.361510791366907e-06, 'epoch': 8.13} -{'loss': 0.3987, 'grad_norm': 2.5963964462280273, 'learning_rate': 9.352517985611512e-06, 'epoch': 8.13} - 82%|█████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4540/5570 [1:12:10<14:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42524516582489014, 'eval_runtime': 1.549, 'eval_samples_per_second': 464.818, 'eval_steps_per_second': 3.873, 'epoch': 8.13} -{'loss': 0.4104, 'grad_norm': 1.6838948726654053, 'learning_rate': 9.343525179856114e-06, 'epoch': 8.13} -{'loss': 0.4035, 'grad_norm': 2.804051399230957, 'learning_rate': 9.33453237410072e-06, 'epoch': 8.14} -{'loss': 0.41, 'grad_norm': 1.9926174879074097, 'learning_rate': 9.325539568345325e-06, 'epoch': 8.14} -{'loss': 0.4092, 'grad_norm': 1.2394503355026245, 'learning_rate': 9.316546762589928e-06, 'epoch': 8.14} -{'loss': 0.3994, 'grad_norm': 1.9362634420394897, 'learning_rate': 9.307553956834533e-06, 'epoch': 8.14} -{'loss': 0.3966, 'grad_norm': 2.3358795642852783, 'learning_rate': 9.298561151079137e-06, 'epoch': 8.14} -{'loss': 0.4022, 'grad_norm': 2.603638172149658, 'learning_rate': 9.289568345323741e-06, 'epoch': 8.15} -{'loss': 0.4018, 'grad_norm': 1.9226579666137695, 'learning_rate': 9.280575539568345e-06, 'epoch': 8.15} -{'loss': 0.4107, 'grad_norm': 2.2296249866485596, 'learning_rate': 9.27158273381295e-06, 'epoch': 8.15} -{'loss': 0.4144, 'grad_norm': 2.316617965698242, 'learning_rate': 9.262589928057554e-06, 'epoch': 8.15} - 82%|██████████████████████████████████████████████████████████████████████████████████████████████████████ | 4550/5570 [1:12:20<13:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4259302020072937, 'eval_runtime': 1.5291, 'eval_samples_per_second': 470.863, 'eval_steps_per_second': 3.924, 'epoch': 8.15} -{'loss': 0.4068, 'grad_norm': 2.1741952896118164, 'learning_rate': 9.253597122302158e-06, 'epoch': 8.15} -{'loss': 0.41, 'grad_norm': 1.7147055864334106, 'learning_rate': 9.244604316546764e-06, 'epoch': 8.15} -{'loss': 0.3946, 'grad_norm': 3.080505609512329, 'learning_rate': 9.235611510791367e-06, 'epoch': 8.16} -{'loss': 0.4132, 'grad_norm': 5.7192511558532715, 'learning_rate': 9.226618705035971e-06, 'epoch': 8.16} -{'loss': 0.4147, 'grad_norm': 4.867663383483887, 'learning_rate': 9.217625899280575e-06, 'epoch': 8.16} -{'loss': 0.4004, 'grad_norm': 2.2167375087738037, 'learning_rate': 9.20863309352518e-06, 'epoch': 8.16} -{'loss': 0.407, 'grad_norm': 2.2625179290771484, 'learning_rate': 9.199640287769785e-06, 'epoch': 8.16} -{'loss': 0.409, 'grad_norm': 3.3967370986938477, 'learning_rate': 9.190647482014388e-06, 'epoch': 8.17} -{'loss': 0.4052, 'grad_norm': 3.309769630432129, 'learning_rate': 9.181654676258994e-06, 'epoch': 8.17} -{'loss': 0.4097, 'grad_norm': 4.075932502746582, 'learning_rate': 9.172661870503598e-06, 'epoch': 8.17} - 82%|██████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4560/5570 [1:12:30<13:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42597511410713196, 'eval_runtime': 1.5375, 'eval_samples_per_second': 468.296, 'eval_steps_per_second': 3.902, 'epoch': 8.17} -{'loss': 0.4107, 'grad_norm': 2.430813789367676, 'learning_rate': 9.163669064748202e-06, 'epoch': 8.17} -{'loss': 0.4056, 'grad_norm': 3.2345802783966064, 'learning_rate': 9.154676258992805e-06, 'epoch': 8.17} -{'loss': 0.4065, 'grad_norm': 2.6376898288726807, 'learning_rate': 9.145683453237411e-06, 'epoch': 8.17} -{'loss': 0.4156, 'grad_norm': 3.420546054840088, 'learning_rate': 9.136690647482015e-06, 'epoch': 8.18} -{'loss': 0.4005, 'grad_norm': 1.5867772102355957, 'learning_rate': 9.127697841726619e-06, 'epoch': 8.18} -{'loss': 0.4029, 'grad_norm': 2.6462631225585938, 'learning_rate': 9.118705035971223e-06, 'epoch': 8.18} -{'loss': 0.3987, 'grad_norm': 2.366408586502075, 'learning_rate': 9.109712230215828e-06, 'epoch': 8.18} -{'loss': 0.4027, 'grad_norm': 3.0480332374572754, 'learning_rate': 9.100719424460432e-06, 'epoch': 8.18} -{'loss': 0.414, 'grad_norm': 3.2926347255706787, 'learning_rate': 9.091726618705036e-06, 'epoch': 8.18} -{'loss': 0.4061, 'grad_norm': 1.5531991720199585, 'learning_rate': 9.082733812949641e-06, 'epoch': 8.19} - 82%|██████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4570/5570 [1:12:39<13:26, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4256666302680969, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.872, 'eval_steps_per_second': 3.916, 'epoch': 8.19} -{'loss': 0.4069, 'grad_norm': 1.2649534940719604, 'learning_rate': 9.073741007194245e-06, 'epoch': 8.19} -{'loss': 0.4099, 'grad_norm': 2.3166253566741943, 'learning_rate': 9.064748201438849e-06, 'epoch': 8.19} -{'loss': 0.4067, 'grad_norm': 3.492955446243286, 'learning_rate': 9.055755395683453e-06, 'epoch': 8.19} -{'loss': 0.4007, 'grad_norm': 2.5500495433807373, 'learning_rate': 9.046762589928058e-06, 'epoch': 8.19} -{'loss': 0.3998, 'grad_norm': 1.3225349187850952, 'learning_rate': 9.037769784172662e-06, 'epoch': 8.2} -{'loss': 0.4075, 'grad_norm': 2.123366594314575, 'learning_rate': 9.028776978417266e-06, 'epoch': 8.2} -{'loss': 0.4014, 'grad_norm': 2.8589985370635986, 'learning_rate': 9.019784172661872e-06, 'epoch': 8.2} -{'loss': 0.4043, 'grad_norm': 1.7929794788360596, 'learning_rate': 9.010791366906476e-06, 'epoch': 8.2} -{'loss': 0.405, 'grad_norm': 1.7608485221862793, 'learning_rate': 9.00179856115108e-06, 'epoch': 8.2} -{'loss': 0.3996, 'grad_norm': 2.3564462661743164, 'learning_rate': 8.992805755395683e-06, 'epoch': 8.2} - 82%|██████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4580/5570 [1:12:49<13:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42630767822265625, 'eval_runtime': 1.5223, 'eval_samples_per_second': 472.98, 'eval_steps_per_second': 3.942, 'epoch': 8.2} -{'loss': 0.4115, 'grad_norm': 3.166874885559082, 'learning_rate': 8.983812949640289e-06, 'epoch': 8.21} -{'loss': 0.4028, 'grad_norm': 3.3468804359436035, 'learning_rate': 8.974820143884893e-06, 'epoch': 8.21} -{'loss': 0.4081, 'grad_norm': 4.540768623352051, 'learning_rate': 8.965827338129497e-06, 'epoch': 8.21} -{'loss': 0.4017, 'grad_norm': 2.9190080165863037, 'learning_rate': 8.956834532374102e-06, 'epoch': 8.21} -{'loss': 0.4026, 'grad_norm': 2.7006564140319824, 'learning_rate': 8.947841726618706e-06, 'epoch': 8.21} -{'loss': 0.413, 'grad_norm': 3.557326316833496, 'learning_rate': 8.93884892086331e-06, 'epoch': 8.22} -{'loss': 0.4129, 'grad_norm': 3.6719229221343994, 'learning_rate': 8.929856115107914e-06, 'epoch': 8.22} -{'loss': 0.4014, 'grad_norm': 1.8702105283737183, 'learning_rate': 8.92086330935252e-06, 'epoch': 8.22} -{'loss': 0.4054, 'grad_norm': 1.5766181945800781, 'learning_rate': 8.911870503597123e-06, 'epoch': 8.22} -{'loss': 0.4033, 'grad_norm': 2.5077078342437744, 'learning_rate': 8.902877697841727e-06, 'epoch': 8.22} - 82%|███████████████████████████████████████████████████████████████████████████████████████████████████████ | 4590/5570 [1:12:58<13:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265252351760864, 'eval_runtime': 1.554, 'eval_samples_per_second': 463.306, 'eval_steps_per_second': 3.861, 'epoch': 8.22} -{'loss': 0.4166, 'grad_norm': 2.8161768913269043, 'learning_rate': 8.89388489208633e-06, 'epoch': 8.22} -{'loss': 0.4063, 'grad_norm': 2.394322633743286, 'learning_rate': 8.884892086330936e-06, 'epoch': 8.23} -{'loss': 0.4086, 'grad_norm': 1.1810826063156128, 'learning_rate': 8.87589928057554e-06, 'epoch': 8.23} -{'loss': 0.4124, 'grad_norm': 3.6065433025360107, 'learning_rate': 8.866906474820144e-06, 'epoch': 8.23} -{'loss': 0.4149, 'grad_norm': 2.963015556335449, 'learning_rate': 8.85791366906475e-06, 'epoch': 8.23} -{'loss': 0.4088, 'grad_norm': 2.94268798828125, 'learning_rate': 8.848920863309353e-06, 'epoch': 8.23} -{'loss': 0.408, 'grad_norm': 1.6836366653442383, 'learning_rate': 8.839928057553957e-06, 'epoch': 8.24} -{'loss': 0.408, 'grad_norm': 2.346121311187744, 'learning_rate': 8.830935251798561e-06, 'epoch': 8.24} -{'loss': 0.4085, 'grad_norm': 2.168368339538574, 'learning_rate': 8.821942446043167e-06, 'epoch': 8.24} -{'loss': 0.4104, 'grad_norm': 1.326912522315979, 'learning_rate': 8.812949640287769e-06, 'epoch': 8.24} - 83%|███████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4600/5570 [1:13:08<13:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42720362544059753, 'eval_runtime': 1.5459, 'eval_samples_per_second': 465.746, 'eval_steps_per_second': 3.881, 'epoch': 8.24} -{'loss': 0.4185, 'grad_norm': 2.855802536010742, 'learning_rate': 8.803956834532374e-06, 'epoch': 8.24} -{'loss': 0.4049, 'grad_norm': 5.1377787590026855, 'learning_rate': 8.79496402877698e-06, 'epoch': 8.24} -{'loss': 0.4173, 'grad_norm': 4.480393409729004, 'learning_rate': 8.785971223021582e-06, 'epoch': 8.25} -{'loss': 0.4043, 'grad_norm': 2.388678550720215, 'learning_rate': 8.776978417266188e-06, 'epoch': 8.25} -{'loss': 0.4114, 'grad_norm': 1.985880732536316, 'learning_rate': 8.767985611510792e-06, 'epoch': 8.25} -{'loss': 0.417, 'grad_norm': 4.513690948486328, 'learning_rate': 8.758992805755397e-06, 'epoch': 8.25} -{'loss': 0.4154, 'grad_norm': 4.376020908355713, 'learning_rate': 8.75e-06, 'epoch': 8.25} -{'loss': 0.4093, 'grad_norm': 2.079375982284546, 'learning_rate': 8.741007194244605e-06, 'epoch': 8.25} -{'loss': 0.4045, 'grad_norm': 1.233612060546875, 'learning_rate': 8.73201438848921e-06, 'epoch': 8.26} -{'loss': 0.4049, 'grad_norm': 2.963942050933838, 'learning_rate': 8.723021582733812e-06, 'epoch': 8.26} - 83%|███████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4610/5570 [1:13:17<13:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4292961061000824, 'eval_runtime': 1.5569, 'eval_samples_per_second': 462.444, 'eval_steps_per_second': 3.854, 'epoch': 8.26} -{'loss': 0.4018, 'grad_norm': 3.076120138168335, 'learning_rate': 8.714028776978418e-06, 'epoch': 8.26} -{'loss': 0.4158, 'grad_norm': 4.35235071182251, 'learning_rate': 8.705035971223022e-06, 'epoch': 8.26} -{'loss': 0.4056, 'grad_norm': 2.025580406188965, 'learning_rate': 8.696043165467627e-06, 'epoch': 8.26} -{'loss': 0.4092, 'grad_norm': 2.6737873554229736, 'learning_rate': 8.68705035971223e-06, 'epoch': 8.27} -{'loss': 0.4111, 'grad_norm': 3.939181089401245, 'learning_rate': 8.678057553956835e-06, 'epoch': 8.27} -{'loss': 0.4143, 'grad_norm': 4.971673965454102, 'learning_rate': 8.669064748201439e-06, 'epoch': 8.27} -{'loss': 0.4143, 'grad_norm': 1.8041179180145264, 'learning_rate': 8.660071942446043e-06, 'epoch': 8.27} -{'loss': 0.4054, 'grad_norm': 1.3193280696868896, 'learning_rate': 8.651079136690648e-06, 'epoch': 8.27} -{'loss': 0.4004, 'grad_norm': 1.869678020477295, 'learning_rate': 8.642086330935252e-06, 'epoch': 8.27} -{'loss': 0.4071, 'grad_norm': 1.3914374113082886, 'learning_rate': 8.633093525179858e-06, 'epoch': 8.28} - 83%|███████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4620/5570 [1:13:27<12:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42655232548713684, 'eval_runtime': 1.5275, 'eval_samples_per_second': 471.345, 'eval_steps_per_second': 3.928, 'epoch': 8.28} -{'loss': 0.4009, 'grad_norm': 1.7552971839904785, 'learning_rate': 8.62410071942446e-06, 'epoch': 8.28} -{'loss': 0.4099, 'grad_norm': 1.7720577716827393, 'learning_rate': 8.615107913669066e-06, 'epoch': 8.28} -{'loss': 0.4084, 'grad_norm': 1.8506308794021606, 'learning_rate': 8.60611510791367e-06, 'epoch': 8.28} -{'loss': 0.4009, 'grad_norm': 1.8670411109924316, 'learning_rate': 8.597122302158273e-06, 'epoch': 8.28} -{'loss': 0.4044, 'grad_norm': 1.504218339920044, 'learning_rate': 8.588129496402877e-06, 'epoch': 8.29} -{'loss': 0.4061, 'grad_norm': 2.569589376449585, 'learning_rate': 8.579136690647483e-06, 'epoch': 8.29} -{'loss': 0.3952, 'grad_norm': 2.253298282623291, 'learning_rate': 8.570143884892086e-06, 'epoch': 8.29} -{'loss': 0.4185, 'grad_norm': 1.9480302333831787, 'learning_rate': 8.56115107913669e-06, 'epoch': 8.29} -{'loss': 0.3884, 'grad_norm': 2.370123863220215, 'learning_rate': 8.552158273381296e-06, 'epoch': 8.29} -{'loss': 0.4102, 'grad_norm': 3.5903513431549072, 'learning_rate': 8.5431654676259e-06, 'epoch': 8.29} - 83%|███████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4630/5570 [1:13:36<12:42, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42729848623275757, 'eval_runtime': 1.5339, 'eval_samples_per_second': 469.396, 'eval_steps_per_second': 3.912, 'epoch': 8.29} -{'loss': 0.4149, 'grad_norm': 2.469255208969116, 'learning_rate': 8.534172661870504e-06, 'epoch': 8.3} -{'loss': 0.4023, 'grad_norm': 0.9719828963279724, 'learning_rate': 8.525179856115107e-06, 'epoch': 8.3} -{'loss': 0.4015, 'grad_norm': 2.605301856994629, 'learning_rate': 8.516187050359713e-06, 'epoch': 8.3} -{'loss': 0.4078, 'grad_norm': 2.313308000564575, 'learning_rate': 8.507194244604317e-06, 'epoch': 8.3} -{'loss': 0.4179, 'grad_norm': 3.029972791671753, 'learning_rate': 8.49820143884892e-06, 'epoch': 8.3} -{'loss': 0.4056, 'grad_norm': 1.6558218002319336, 'learning_rate': 8.489208633093526e-06, 'epoch': 8.31} -{'loss': 0.4079, 'grad_norm': 1.776391625404358, 'learning_rate': 8.48021582733813e-06, 'epoch': 8.31} -{'loss': 0.4053, 'grad_norm': 1.303767204284668, 'learning_rate': 8.471223021582734e-06, 'epoch': 8.31} -{'loss': 0.4035, 'grad_norm': 1.7153531312942505, 'learning_rate': 8.462230215827338e-06, 'epoch': 8.31} -{'loss': 0.408, 'grad_norm': 3.461315155029297, 'learning_rate': 8.453237410071943e-06, 'epoch': 8.31} - 83%|████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4640/5570 [1:13:46<12:39, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4277912676334381, 'eval_runtime': 1.5216, 'eval_samples_per_second': 473.183, 'eval_steps_per_second': 3.943, 'epoch': 8.31} -{'loss': 0.4086, 'grad_norm': 2.947929620742798, 'learning_rate': 8.444244604316547e-06, 'epoch': 8.31} -{'loss': 0.4026, 'grad_norm': 1.1436386108398438, 'learning_rate': 8.435251798561151e-06, 'epoch': 8.32} -{'loss': 0.4034, 'grad_norm': 1.6939060688018799, 'learning_rate': 8.426258992805757e-06, 'epoch': 8.32} -{'loss': 0.4127, 'grad_norm': 3.7268669605255127, 'learning_rate': 8.41726618705036e-06, 'epoch': 8.32} -{'loss': 0.4052, 'grad_norm': 3.8363444805145264, 'learning_rate': 8.408273381294964e-06, 'epoch': 8.32} -{'loss': 0.4167, 'grad_norm': 3.0036497116088867, 'learning_rate': 8.399280575539568e-06, 'epoch': 8.32} -{'loss': 0.4043, 'grad_norm': 2.315722703933716, 'learning_rate': 8.390287769784174e-06, 'epoch': 8.32} -{'loss': 0.4074, 'grad_norm': 3.2711052894592285, 'learning_rate': 8.381294964028778e-06, 'epoch': 8.33} -{'loss': 0.4085, 'grad_norm': 4.780801773071289, 'learning_rate': 8.372302158273381e-06, 'epoch': 8.33} -{'loss': 0.4068, 'grad_norm': 2.2726430892944336, 'learning_rate': 8.363309352517985e-06, 'epoch': 8.33} - 83%|████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4650/5570 [1:13:55<12:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265955686569214, 'eval_runtime': 1.5205, 'eval_samples_per_second': 473.538, 'eval_steps_per_second': 3.946, 'epoch': 8.33} -{'loss': 0.4076, 'grad_norm': 1.4276639223098755, 'learning_rate': 8.35431654676259e-06, 'epoch': 8.33} -{'loss': 0.4167, 'grad_norm': 3.1951355934143066, 'learning_rate': 8.345323741007195e-06, 'epoch': 8.33} -{'loss': 0.402, 'grad_norm': 3.5083138942718506, 'learning_rate': 8.336330935251799e-06, 'epoch': 8.34} -{'loss': 0.4043, 'grad_norm': 4.727468013763428, 'learning_rate': 8.327338129496404e-06, 'epoch': 8.34} -{'loss': 0.406, 'grad_norm': 2.473079204559326, 'learning_rate': 8.318345323741008e-06, 'epoch': 8.34} -{'loss': 0.4195, 'grad_norm': 1.569908857345581, 'learning_rate': 8.309352517985612e-06, 'epoch': 8.34} -{'loss': 0.4145, 'grad_norm': 3.438420295715332, 'learning_rate': 8.300359712230216e-06, 'epoch': 8.34} -{'loss': 0.4125, 'grad_norm': 3.071434259414673, 'learning_rate': 8.291366906474821e-06, 'epoch': 8.34} -{'loss': 0.405, 'grad_norm': 2.2627861499786377, 'learning_rate': 8.282374100719425e-06, 'epoch': 8.35} -{'loss': 0.4186, 'grad_norm': 2.010841131210327, 'learning_rate': 8.273381294964029e-06, 'epoch': 8.35} - 84%|████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4660/5570 [1:14:05<12:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4273757040500641, 'eval_runtime': 1.5155, 'eval_samples_per_second': 475.105, 'eval_steps_per_second': 3.959, 'epoch': 8.35} -{'loss': 0.412, 'grad_norm': 3.0656867027282715, 'learning_rate': 8.264388489208634e-06, 'epoch': 8.35} -{'loss': 0.4221, 'grad_norm': 3.119561195373535, 'learning_rate': 8.255395683453238e-06, 'epoch': 8.35} -{'loss': 0.4167, 'grad_norm': 1.8740780353546143, 'learning_rate': 8.246402877697842e-06, 'epoch': 8.35} -{'loss': 0.394, 'grad_norm': 2.2869627475738525, 'learning_rate': 8.237410071942446e-06, 'epoch': 8.36} -{'loss': 0.408, 'grad_norm': 4.675063133239746, 'learning_rate': 8.228417266187052e-06, 'epoch': 8.36} -{'loss': 0.4051, 'grad_norm': 4.394168853759766, 'learning_rate': 8.219424460431654e-06, 'epoch': 8.36} -{'loss': 0.4143, 'grad_norm': 3.8023123741149902, 'learning_rate': 8.21043165467626e-06, 'epoch': 8.36} -{'loss': 0.4137, 'grad_norm': 2.3399484157562256, 'learning_rate': 8.201438848920865e-06, 'epoch': 8.36} -{'loss': 0.4066, 'grad_norm': 2.758282423019409, 'learning_rate': 8.192446043165469e-06, 'epoch': 8.36} -{'loss': 0.4107, 'grad_norm': 4.063859462738037, 'learning_rate': 8.183453237410073e-06, 'epoch': 8.37} - 84%|████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4670/5570 [1:14:15<12:15, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43101873993873596, 'eval_runtime': 1.5181, 'eval_samples_per_second': 474.283, 'eval_steps_per_second': 3.952, 'epoch': 8.37} -{'loss': 0.4023, 'grad_norm': 4.418776035308838, 'learning_rate': 8.174460431654676e-06, 'epoch': 8.37} -{'loss': 0.4098, 'grad_norm': 4.642294406890869, 'learning_rate': 8.165467625899282e-06, 'epoch': 8.37} -{'loss': 0.4028, 'grad_norm': 2.765901803970337, 'learning_rate': 8.156474820143884e-06, 'epoch': 8.37} -{'loss': 0.4043, 'grad_norm': 3.330920934677124, 'learning_rate': 8.14748201438849e-06, 'epoch': 8.37} -{'loss': 0.3994, 'grad_norm': 3.489424705505371, 'learning_rate': 8.138489208633094e-06, 'epoch': 8.38} -{'loss': 0.4092, 'grad_norm': 3.2029099464416504, 'learning_rate': 8.129496402877697e-06, 'epoch': 8.38} -{'loss': 0.3956, 'grad_norm': 1.8011085987091064, 'learning_rate': 8.120503597122303e-06, 'epoch': 8.38} -{'loss': 0.4106, 'grad_norm': 2.5594894886016846, 'learning_rate': 8.111510791366907e-06, 'epoch': 8.38} -{'loss': 0.416, 'grad_norm': 2.5259158611297607, 'learning_rate': 8.102517985611512e-06, 'epoch': 8.38} -{'loss': 0.4064, 'grad_norm': 2.3043007850646973, 'learning_rate': 8.093525179856114e-06, 'epoch': 8.38} - 84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████ | 4680/5570 [1:14:24<12:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250420331954956, 'eval_runtime': 1.5173, 'eval_samples_per_second': 474.513, 'eval_steps_per_second': 3.954, 'epoch': 8.38} -{'loss': 0.4052, 'grad_norm': 1.341341257095337, 'learning_rate': 8.08453237410072e-06, 'epoch': 8.39} -{'loss': 0.417, 'grad_norm': 1.4393031597137451, 'learning_rate': 8.075539568345324e-06, 'epoch': 8.39} -{'loss': 0.4131, 'grad_norm': 1.4670279026031494, 'learning_rate': 8.066546762589928e-06, 'epoch': 8.39} -{'loss': 0.3992, 'grad_norm': 2.3896827697753906, 'learning_rate': 8.057553956834532e-06, 'epoch': 8.39} -{'loss': 0.4102, 'grad_norm': 2.0392918586730957, 'learning_rate': 8.048561151079137e-06, 'epoch': 8.39} -{'loss': 0.4063, 'grad_norm': 1.413081169128418, 'learning_rate': 8.039568345323743e-06, 'epoch': 8.39} -{'loss': 0.4136, 'grad_norm': 2.575982093811035, 'learning_rate': 8.030575539568345e-06, 'epoch': 8.4} -{'loss': 0.4022, 'grad_norm': 2.6913704872131348, 'learning_rate': 8.02158273381295e-06, 'epoch': 8.4} -{'loss': 0.3997, 'grad_norm': 2.472865104675293, 'learning_rate': 8.012589928057554e-06, 'epoch': 8.4} -{'loss': 0.4074, 'grad_norm': 2.4725682735443115, 'learning_rate': 8.003597122302158e-06, 'epoch': 8.4} - 84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4690/5570 [1:14:34<11:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4266177713871002, 'eval_runtime': 1.5384, 'eval_samples_per_second': 468.019, 'eval_steps_per_second': 3.9, 'epoch': 8.4} -{'loss': 0.4086, 'grad_norm': 2.635361909866333, 'learning_rate': 7.994604316546762e-06, 'epoch': 8.4} -{'loss': 0.4139, 'grad_norm': 2.440937042236328, 'learning_rate': 7.985611510791367e-06, 'epoch': 8.41} -{'loss': 0.4112, 'grad_norm': 2.994812488555908, 'learning_rate': 7.976618705035973e-06, 'epoch': 8.41} -{'loss': 0.4007, 'grad_norm': 2.534032106399536, 'learning_rate': 7.967625899280575e-06, 'epoch': 8.41} -{'loss': 0.4178, 'grad_norm': 3.156463623046875, 'learning_rate': 7.95863309352518e-06, 'epoch': 8.41} -{'loss': 0.4035, 'grad_norm': 2.1953492164611816, 'learning_rate': 7.949640287769785e-06, 'epoch': 8.41} -{'loss': 0.412, 'grad_norm': 2.198673725128174, 'learning_rate': 7.940647482014388e-06, 'epoch': 8.41} -{'loss': 0.4025, 'grad_norm': 2.250221014022827, 'learning_rate': 7.931654676258992e-06, 'epoch': 8.42} -{'loss': 0.4133, 'grad_norm': 3.1453001499176025, 'learning_rate': 7.922661870503598e-06, 'epoch': 8.42} -{'loss': 0.407, 'grad_norm': 1.9208875894546509, 'learning_rate': 7.913669064748202e-06, 'epoch': 8.42} - 84%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4700/5570 [1:14:43<11:39, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42484575510025024, 'eval_runtime': 1.5255, 'eval_samples_per_second': 471.963, 'eval_steps_per_second': 3.933, 'epoch': 8.42} -{'loss': 0.3961, 'grad_norm': 1.3410089015960693, 'learning_rate': 7.904676258992806e-06, 'epoch': 8.42} -{'loss': 0.4023, 'grad_norm': 2.2795751094818115, 'learning_rate': 7.895683453237411e-06, 'epoch': 8.42} -{'loss': 0.408, 'grad_norm': 3.014909505844116, 'learning_rate': 7.886690647482015e-06, 'epoch': 8.43} -{'loss': 0.414, 'grad_norm': 1.494057059288025, 'learning_rate': 7.877697841726619e-06, 'epoch': 8.43} -{'loss': 0.4136, 'grad_norm': 2.908421754837036, 'learning_rate': 7.868705035971223e-06, 'epoch': 8.43} -{'loss': 0.4075, 'grad_norm': 3.1385793685913086, 'learning_rate': 7.859712230215828e-06, 'epoch': 8.43} -{'loss': 0.4167, 'grad_norm': 1.8959484100341797, 'learning_rate': 7.850719424460432e-06, 'epoch': 8.43} -{'loss': 0.4109, 'grad_norm': 2.0639584064483643, 'learning_rate': 7.841726618705036e-06, 'epoch': 8.43} -{'loss': 0.3946, 'grad_norm': 1.925472617149353, 'learning_rate': 7.83273381294964e-06, 'epoch': 8.44} -{'loss': 0.4049, 'grad_norm': 3.1176085472106934, 'learning_rate': 7.823741007194245e-06, 'epoch': 8.44} - 85%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4710/5570 [1:14:53<11:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42596518993377686, 'eval_runtime': 1.5205, 'eval_samples_per_second': 473.528, 'eval_steps_per_second': 3.946, 'epoch': 8.44} -{'loss': 0.4033, 'grad_norm': 2.6476705074310303, 'learning_rate': 7.81474820143885e-06, 'epoch': 8.44} -{'loss': 0.4014, 'grad_norm': 2.1442759037017822, 'learning_rate': 7.805755395683453e-06, 'epoch': 8.44} -{'loss': 0.4164, 'grad_norm': 1.9915697574615479, 'learning_rate': 7.796762589928059e-06, 'epoch': 8.44} -{'loss': 0.412, 'grad_norm': 1.490318775177002, 'learning_rate': 7.787769784172662e-06, 'epoch': 8.45} -{'loss': 0.3997, 'grad_norm': 2.510418653488159, 'learning_rate': 7.778776978417266e-06, 'epoch': 8.45} -{'loss': 0.4026, 'grad_norm': 1.4993634223937988, 'learning_rate': 7.76978417266187e-06, 'epoch': 8.45} -{'loss': 0.4064, 'grad_norm': 2.3254854679107666, 'learning_rate': 7.760791366906476e-06, 'epoch': 8.45} -{'loss': 0.3905, 'grad_norm': 1.4132490158081055, 'learning_rate': 7.75179856115108e-06, 'epoch': 8.45} -{'loss': 0.4179, 'grad_norm': 2.2480924129486084, 'learning_rate': 7.742805755395683e-06, 'epoch': 8.45} -{'loss': 0.4051, 'grad_norm': 1.7422183752059937, 'learning_rate': 7.733812949640289e-06, 'epoch': 8.46} - 85%|█████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4720/5570 [1:15:02<11:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42625918984413147, 'eval_runtime': 1.5215, 'eval_samples_per_second': 473.232, 'eval_steps_per_second': 3.944, 'epoch': 8.46} -{'loss': 0.4009, 'grad_norm': 1.9844900369644165, 'learning_rate': 7.724820143884893e-06, 'epoch': 8.46} -{'loss': 0.405, 'grad_norm': 1.1639008522033691, 'learning_rate': 7.715827338129497e-06, 'epoch': 8.46} -{'loss': 0.4116, 'grad_norm': 1.7129656076431274, 'learning_rate': 7.7068345323741e-06, 'epoch': 8.46} -{'loss': 0.4156, 'grad_norm': 2.8628854751586914, 'learning_rate': 7.697841726618706e-06, 'epoch': 8.46} -{'loss': 0.4152, 'grad_norm': 2.1269099712371826, 'learning_rate': 7.68884892086331e-06, 'epoch': 8.46} -{'loss': 0.4093, 'grad_norm': 1.4203110933303833, 'learning_rate': 7.679856115107914e-06, 'epoch': 8.47} -{'loss': 0.4059, 'grad_norm': 2.563753366470337, 'learning_rate': 7.67086330935252e-06, 'epoch': 8.47} -{'loss': 0.3992, 'grad_norm': 2.5088493824005127, 'learning_rate': 7.661870503597123e-06, 'epoch': 8.47} -{'loss': 0.4049, 'grad_norm': 1.6230145692825317, 'learning_rate': 7.652877697841727e-06, 'epoch': 8.47} -{'loss': 0.4011, 'grad_norm': 3.087559223175049, 'learning_rate': 7.643884892086331e-06, 'epoch': 8.47} - 85%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4730/5570 [1:15:12<11:25, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42596545815467834, 'eval_runtime': 1.527, 'eval_samples_per_second': 471.501, 'eval_steps_per_second': 3.929, 'epoch': 8.47} -{'loss': 0.4087, 'grad_norm': 1.2870854139328003, 'learning_rate': 7.634892086330936e-06, 'epoch': 8.48} -{'loss': 0.404, 'grad_norm': 1.8132765293121338, 'learning_rate': 7.6258992805755395e-06, 'epoch': 8.48} -{'loss': 0.4089, 'grad_norm': 2.0653374195098877, 'learning_rate': 7.616906474820144e-06, 'epoch': 8.48} -{'loss': 0.4009, 'grad_norm': 2.2994279861450195, 'learning_rate': 7.607913669064748e-06, 'epoch': 8.48} -{'loss': 0.4106, 'grad_norm': 1.1654125452041626, 'learning_rate': 7.598920863309353e-06, 'epoch': 8.48} -{'loss': 0.4081, 'grad_norm': 1.725334644317627, 'learning_rate': 7.589928057553957e-06, 'epoch': 8.48} -{'loss': 0.4015, 'grad_norm': 1.4848698377609253, 'learning_rate': 7.580935251798561e-06, 'epoch': 8.49} -{'loss': 0.4071, 'grad_norm': 2.0621354579925537, 'learning_rate': 7.571942446043166e-06, 'epoch': 8.49} -{'loss': 0.4141, 'grad_norm': 1.6153888702392578, 'learning_rate': 7.56294964028777e-06, 'epoch': 8.49} -{'loss': 0.4071, 'grad_norm': 1.531222939491272, 'learning_rate': 7.5539568345323745e-06, 'epoch': 8.49} - 85%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4740/5570 [1:15:21<11:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250176250934601, 'eval_runtime': 1.5113, 'eval_samples_per_second': 476.42, 'eval_steps_per_second': 3.97, 'epoch': 8.49} -{'loss': 0.4045, 'grad_norm': 1.1721736192703247, 'learning_rate': 7.544964028776978e-06, 'epoch': 8.49} -{'loss': 0.4068, 'grad_norm': 1.8543566465377808, 'learning_rate': 7.535971223021583e-06, 'epoch': 8.5} -{'loss': 0.4082, 'grad_norm': 1.0246281623840332, 'learning_rate': 7.526978417266188e-06, 'epoch': 8.5} -{'loss': 0.4095, 'grad_norm': 2.3564813137054443, 'learning_rate': 7.517985611510792e-06, 'epoch': 8.5} -{'loss': 0.408, 'grad_norm': 1.922471284866333, 'learning_rate': 7.508992805755396e-06, 'epoch': 8.5} -{'loss': 0.4026, 'grad_norm': 2.26019287109375, 'learning_rate': 7.5e-06, 'epoch': 8.5} -{'loss': 0.4129, 'grad_norm': 2.2078309059143066, 'learning_rate': 7.491007194244605e-06, 'epoch': 8.5} -{'loss': 0.4096, 'grad_norm': 3.5997321605682373, 'learning_rate': 7.482014388489209e-06, 'epoch': 8.51} -{'loss': 0.4067, 'grad_norm': 2.5137979984283447, 'learning_rate': 7.4730215827338134e-06, 'epoch': 8.51} -{'loss': 0.4111, 'grad_norm': 2.3316433429718018, 'learning_rate': 7.464028776978417e-06, 'epoch': 8.51} - 85%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4750/5570 [1:15:31<11:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4254258871078491, 'eval_runtime': 1.5252, 'eval_samples_per_second': 472.079, 'eval_steps_per_second': 3.934, 'epoch': 8.51} -{'loss': 0.3951, 'grad_norm': 1.6667540073394775, 'learning_rate': 7.455035971223022e-06, 'epoch': 8.51} -{'loss': 0.4004, 'grad_norm': 1.786991000175476, 'learning_rate': 7.446043165467627e-06, 'epoch': 8.51} -{'loss': 0.4052, 'grad_norm': 2.53116512298584, 'learning_rate': 7.4370503597122306e-06, 'epoch': 8.52} -{'loss': 0.4214, 'grad_norm': 3.2515010833740234, 'learning_rate': 7.428057553956835e-06, 'epoch': 8.52} -{'loss': 0.4044, 'grad_norm': 1.2697508335113525, 'learning_rate': 7.419064748201439e-06, 'epoch': 8.52} -{'loss': 0.4091, 'grad_norm': 2.723916530609131, 'learning_rate': 7.410071942446044e-06, 'epoch': 8.52} -{'loss': 0.4039, 'grad_norm': 2.362050771713257, 'learning_rate': 7.401079136690648e-06, 'epoch': 8.52} -{'loss': 0.4132, 'grad_norm': 2.732640504837036, 'learning_rate': 7.392086330935252e-06, 'epoch': 8.52} -{'loss': 0.4084, 'grad_norm': 2.593445301055908, 'learning_rate': 7.383093525179856e-06, 'epoch': 8.53} -{'loss': 0.4152, 'grad_norm': 2.4753952026367188, 'learning_rate': 7.374100719424461e-06, 'epoch': 8.53} - 85%|██████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4760/5570 [1:15:40<10:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4253268837928772, 'eval_runtime': 1.5274, 'eval_samples_per_second': 471.376, 'eval_steps_per_second': 3.928, 'epoch': 8.53} -{'loss': 0.3961, 'grad_norm': 2.9710288047790527, 'learning_rate': 7.365107913669066e-06, 'epoch': 8.53} -{'loss': 0.4032, 'grad_norm': 1.9082752466201782, 'learning_rate': 7.3561151079136695e-06, 'epoch': 8.53} -{'loss': 0.4027, 'grad_norm': 2.500532865524292, 'learning_rate': 7.347122302158274e-06, 'epoch': 8.53} -{'loss': 0.4109, 'grad_norm': 1.4938689470291138, 'learning_rate': 7.338129496402878e-06, 'epoch': 8.54} -{'loss': 0.4069, 'grad_norm': 1.6453006267547607, 'learning_rate': 7.329136690647483e-06, 'epoch': 8.54} -{'loss': 0.4135, 'grad_norm': 1.3123328685760498, 'learning_rate': 7.320143884892086e-06, 'epoch': 8.54} -{'loss': 0.4099, 'grad_norm': 2.211721420288086, 'learning_rate': 7.311151079136691e-06, 'epoch': 8.54} -{'loss': 0.4041, 'grad_norm': 2.6184215545654297, 'learning_rate': 7.302158273381296e-06, 'epoch': 8.54} -{'loss': 0.4008, 'grad_norm': 2.0348989963531494, 'learning_rate': 7.2931654676259e-06, 'epoch': 8.54} -{'loss': 0.409, 'grad_norm': 2.694720983505249, 'learning_rate': 7.2841726618705045e-06, 'epoch': 8.55} - 86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████ | 4770/5570 [1:15:50<10:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4248064160346985, 'eval_runtime': 1.5158, 'eval_samples_per_second': 474.991, 'eval_steps_per_second': 3.958, 'epoch': 8.55} -{'loss': 0.4014, 'grad_norm': 1.9595824480056763, 'learning_rate': 7.275179856115108e-06, 'epoch': 8.55} -{'loss': 0.4063, 'grad_norm': 2.4771382808685303, 'learning_rate': 7.266187050359713e-06, 'epoch': 8.55} -{'loss': 0.3997, 'grad_norm': 2.0115509033203125, 'learning_rate': 7.257194244604316e-06, 'epoch': 8.55} -{'loss': 0.4153, 'grad_norm': 1.7021743059158325, 'learning_rate': 7.248201438848922e-06, 'epoch': 8.55} -{'loss': 0.4069, 'grad_norm': 1.604120135307312, 'learning_rate': 7.239208633093525e-06, 'epoch': 8.55} -{'loss': 0.4105, 'grad_norm': 2.821842670440674, 'learning_rate': 7.23021582733813e-06, 'epoch': 8.56} -{'loss': 0.4112, 'grad_norm': 1.1371099948883057, 'learning_rate': 7.221223021582735e-06, 'epoch': 8.56} -{'loss': 0.4122, 'grad_norm': 1.9308778047561646, 'learning_rate': 7.212230215827338e-06, 'epoch': 8.56} -{'loss': 0.4087, 'grad_norm': 2.8577330112457275, 'learning_rate': 7.2032374100719435e-06, 'epoch': 8.56} -{'loss': 0.4097, 'grad_norm': 1.3614616394042969, 'learning_rate': 7.1942446043165465e-06, 'epoch': 8.56} - 86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4780/5570 [1:15:59<10:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42573538422584534, 'eval_runtime': 1.5301, 'eval_samples_per_second': 470.558, 'eval_steps_per_second': 3.921, 'epoch': 8.56} -{'loss': 0.3975, 'grad_norm': 2.1197001934051514, 'learning_rate': 7.185251798561152e-06, 'epoch': 8.57} -{'loss': 0.4085, 'grad_norm': 3.268899917602539, 'learning_rate': 7.176258992805755e-06, 'epoch': 8.57} -{'loss': 0.4142, 'grad_norm': 3.0089187622070312, 'learning_rate': 7.167266187050361e-06, 'epoch': 8.57} -{'loss': 0.4082, 'grad_norm': 1.9510756731033325, 'learning_rate': 7.158273381294964e-06, 'epoch': 8.57} -{'loss': 0.4035, 'grad_norm': 2.6961708068847656, 'learning_rate': 7.149280575539568e-06, 'epoch': 8.57} -{'loss': 0.4042, 'grad_norm': 2.7959368228912354, 'learning_rate': 7.140287769784174e-06, 'epoch': 8.57} -{'loss': 0.4127, 'grad_norm': 2.595820426940918, 'learning_rate': 7.131294964028777e-06, 'epoch': 8.58} -{'loss': 0.4172, 'grad_norm': 2.8953967094421387, 'learning_rate': 7.122302158273382e-06, 'epoch': 8.58} -{'loss': 0.3976, 'grad_norm': 1.2194687128067017, 'learning_rate': 7.113309352517985e-06, 'epoch': 8.58} -{'loss': 0.4088, 'grad_norm': 2.5288989543914795, 'learning_rate': 7.10431654676259e-06, 'epoch': 8.58} - 86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4790/5570 [1:16:09<10:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42646467685699463, 'eval_runtime': 1.5239, 'eval_samples_per_second': 472.465, 'eval_steps_per_second': 3.937, 'epoch': 8.58} -{'loss': 0.408, 'grad_norm': 3.3266944885253906, 'learning_rate': 7.095323741007194e-06, 'epoch': 8.58} -{'loss': 0.3979, 'grad_norm': 2.6301591396331787, 'learning_rate': 7.086330935251799e-06, 'epoch': 8.59} -{'loss': 0.4029, 'grad_norm': 1.7328543663024902, 'learning_rate': 7.077338129496404e-06, 'epoch': 8.59} -{'loss': 0.4077, 'grad_norm': 1.654428482055664, 'learning_rate': 7.068345323741007e-06, 'epoch': 8.59} -{'loss': 0.4153, 'grad_norm': 3.472015142440796, 'learning_rate': 7.059352517985613e-06, 'epoch': 8.59} -{'loss': 0.4059, 'grad_norm': 2.3468189239501953, 'learning_rate': 7.050359712230216e-06, 'epoch': 8.59} -{'loss': 0.4013, 'grad_norm': 1.533295750617981, 'learning_rate': 7.0413669064748205e-06, 'epoch': 8.59} -{'loss': 0.3984, 'grad_norm': 1.4858202934265137, 'learning_rate': 7.032374100719424e-06, 'epoch': 8.6} -{'loss': 0.4144, 'grad_norm': 1.3942474126815796, 'learning_rate': 7.023381294964029e-06, 'epoch': 8.6} -{'loss': 0.407, 'grad_norm': 3.203993320465088, 'learning_rate': 7.014388489208633e-06, 'epoch': 8.6} - 86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4800/5570 [1:16:19<10:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42663878202438354, 'eval_runtime': 1.5375, 'eval_samples_per_second': 468.286, 'eval_steps_per_second': 3.902, 'epoch': 8.6} -{'loss': 0.4011, 'grad_norm': 4.179217338562012, 'learning_rate': 7.005395683453238e-06, 'epoch': 8.6} -{'loss': 0.4082, 'grad_norm': 2.9944818019866943, 'learning_rate': 6.996402877697842e-06, 'epoch': 8.6} -{'loss': 0.4059, 'grad_norm': 1.296829104423523, 'learning_rate': 6.987410071942446e-06, 'epoch': 8.61} -{'loss': 0.4032, 'grad_norm': 4.47844934463501, 'learning_rate': 6.978417266187051e-06, 'epoch': 8.61} -{'loss': 0.4023, 'grad_norm': 4.4019036293029785, 'learning_rate': 6.969424460431655e-06, 'epoch': 8.61} -{'loss': 0.4105, 'grad_norm': 3.925554037094116, 'learning_rate': 6.960431654676259e-06, 'epoch': 8.61} -{'loss': 0.4018, 'grad_norm': 3.558461904525757, 'learning_rate': 6.951438848920863e-06, 'epoch': 8.61} -{'loss': 0.4066, 'grad_norm': 1.5764342546463013, 'learning_rate': 6.942446043165468e-06, 'epoch': 8.61} -{'loss': 0.4161, 'grad_norm': 3.4494926929473877, 'learning_rate': 6.933453237410072e-06, 'epoch': 8.62} -{'loss': 0.4133, 'grad_norm': 3.5245323181152344, 'learning_rate': 6.9244604316546765e-06, 'epoch': 8.62} - 86%|███████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4810/5570 [1:16:28<10:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42627665400505066, 'eval_runtime': 1.5174, 'eval_samples_per_second': 474.489, 'eval_steps_per_second': 3.954, 'epoch': 8.62} -{'loss': 0.4057, 'grad_norm': 2.6284990310668945, 'learning_rate': 6.915467625899281e-06, 'epoch': 8.62} -{'loss': 0.4088, 'grad_norm': 2.5060582160949707, 'learning_rate': 6.906474820143885e-06, 'epoch': 8.62} -{'loss': 0.3979, 'grad_norm': 1.833107590675354, 'learning_rate': 6.89748201438849e-06, 'epoch': 8.62} -{'loss': 0.4154, 'grad_norm': 4.6260504722595215, 'learning_rate': 6.888489208633094e-06, 'epoch': 8.62} -{'loss': 0.4118, 'grad_norm': 4.5441460609436035, 'learning_rate': 6.879496402877698e-06, 'epoch': 8.63} -{'loss': 0.3991, 'grad_norm': 2.705599069595337, 'learning_rate': 6.870503597122302e-06, 'epoch': 8.63} -{'loss': 0.4045, 'grad_norm': 2.467689037322998, 'learning_rate': 6.861510791366907e-06, 'epoch': 8.63} -{'loss': 0.4038, 'grad_norm': 2.8746917247772217, 'learning_rate': 6.852517985611511e-06, 'epoch': 8.63} -{'loss': 0.4082, 'grad_norm': 2.9693639278411865, 'learning_rate': 6.8435251798561154e-06, 'epoch': 8.63} -{'loss': 0.4026, 'grad_norm': 3.7098875045776367, 'learning_rate': 6.83453237410072e-06, 'epoch': 8.64} - 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4820/5570 [1:16:38<10:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42569273710250854, 'eval_runtime': 1.5177, 'eval_samples_per_second': 474.404, 'eval_steps_per_second': 3.953, 'epoch': 8.64} -{'loss': 0.4022, 'grad_norm': 2.415217161178589, 'learning_rate': 6.825539568345324e-06, 'epoch': 8.64} -{'loss': 0.418, 'grad_norm': 1.8088709115982056, 'learning_rate': 6.816546762589929e-06, 'epoch': 8.64} -{'loss': 0.4027, 'grad_norm': 1.7525523900985718, 'learning_rate': 6.8075539568345325e-06, 'epoch': 8.64} -{'loss': 0.4076, 'grad_norm': 1.725000023841858, 'learning_rate': 6.798561151079137e-06, 'epoch': 8.64} -{'loss': 0.3987, 'grad_norm': 1.0397441387176514, 'learning_rate': 6.789568345323741e-06, 'epoch': 8.64} -{'loss': 0.4145, 'grad_norm': 2.251380205154419, 'learning_rate': 6.780575539568346e-06, 'epoch': 8.65} -{'loss': 0.4097, 'grad_norm': 2.8651719093322754, 'learning_rate': 6.7715827338129505e-06, 'epoch': 8.65} -{'loss': 0.4089, 'grad_norm': 2.499516725540161, 'learning_rate': 6.762589928057554e-06, 'epoch': 8.65} -{'loss': 0.4106, 'grad_norm': 1.5195808410644531, 'learning_rate': 6.753597122302159e-06, 'epoch': 8.65} -{'loss': 0.3955, 'grad_norm': 2.3101367950439453, 'learning_rate': 6.744604316546763e-06, 'epoch': 8.65} - 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4830/5570 [1:16:47<09:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4246682822704315, 'eval_runtime': 1.5337, 'eval_samples_per_second': 469.442, 'eval_steps_per_second': 3.912, 'epoch': 8.65} -{'loss': 0.3951, 'grad_norm': 1.9438915252685547, 'learning_rate': 6.735611510791368e-06, 'epoch': 8.66} -{'loss': 0.4087, 'grad_norm': 1.9486775398254395, 'learning_rate': 6.7266187050359715e-06, 'epoch': 8.66} -{'loss': 0.4065, 'grad_norm': 1.4060713052749634, 'learning_rate': 6.717625899280576e-06, 'epoch': 8.66} -{'loss': 0.4106, 'grad_norm': 3.3230834007263184, 'learning_rate': 6.708633093525179e-06, 'epoch': 8.66} -{'loss': 0.4026, 'grad_norm': 3.6491105556488037, 'learning_rate': 6.699640287769785e-06, 'epoch': 8.66} -{'loss': 0.404, 'grad_norm': 1.7802153825759888, 'learning_rate': 6.690647482014389e-06, 'epoch': 8.66} -{'loss': 0.4005, 'grad_norm': 1.181264877319336, 'learning_rate': 6.681654676258993e-06, 'epoch': 8.67} -{'loss': 0.4105, 'grad_norm': 3.052342653274536, 'learning_rate': 6.672661870503598e-06, 'epoch': 8.67} -{'loss': 0.4185, 'grad_norm': 5.708182334899902, 'learning_rate': 6.663669064748202e-06, 'epoch': 8.67} -{'loss': 0.4082, 'grad_norm': 1.841137409210205, 'learning_rate': 6.6546762589928065e-06, 'epoch': 8.67} - 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4840/5570 [1:16:57<09:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.426020085811615, 'eval_runtime': 1.5182, 'eval_samples_per_second': 474.231, 'eval_steps_per_second': 3.952, 'epoch': 8.67} -{'loss': 0.4031, 'grad_norm': 2.7919740676879883, 'learning_rate': 6.6456834532374095e-06, 'epoch': 8.67} -{'loss': 0.4106, 'grad_norm': 2.634241819381714, 'learning_rate': 6.636690647482015e-06, 'epoch': 8.68} -{'loss': 0.3979, 'grad_norm': 3.361001491546631, 'learning_rate': 6.627697841726618e-06, 'epoch': 8.68} -{'loss': 0.3968, 'grad_norm': 2.672757387161255, 'learning_rate': 6.618705035971224e-06, 'epoch': 8.68} -{'loss': 0.407, 'grad_norm': 1.7857608795166016, 'learning_rate': 6.609712230215828e-06, 'epoch': 8.68} -{'loss': 0.4152, 'grad_norm': 2.531052589416504, 'learning_rate': 6.600719424460431e-06, 'epoch': 8.68} -{'loss': 0.4182, 'grad_norm': 4.470519542694092, 'learning_rate': 6.591726618705037e-06, 'epoch': 8.68} -{'loss': 0.4101, 'grad_norm': 2.1488747596740723, 'learning_rate': 6.58273381294964e-06, 'epoch': 8.69} -{'loss': 0.4094, 'grad_norm': 1.3689454793930054, 'learning_rate': 6.5737410071942455e-06, 'epoch': 8.69} -{'loss': 0.4126, 'grad_norm': 2.077587127685547, 'learning_rate': 6.5647482014388485e-06, 'epoch': 8.69} - 87%|████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4850/5570 [1:17:06<09:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4270252585411072, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.013, 'eval_steps_per_second': 3.925, 'epoch': 8.69} -{'loss': 0.4062, 'grad_norm': 3.1085703372955322, 'learning_rate': 6.555755395683454e-06, 'epoch': 8.69} -{'loss': 0.4052, 'grad_norm': 3.229186534881592, 'learning_rate': 6.546762589928059e-06, 'epoch': 8.69} -{'loss': 0.3923, 'grad_norm': 1.3380743265151978, 'learning_rate': 6.537769784172662e-06, 'epoch': 8.69} -{'loss': 0.4164, 'grad_norm': 2.0554754734039307, 'learning_rate': 6.528776978417267e-06, 'epoch': 8.7} -{'loss': 0.4098, 'grad_norm': 2.0962629318237305, 'learning_rate': 6.51978417266187e-06, 'epoch': 8.7} -{'loss': 0.4094, 'grad_norm': 2.2794179916381836, 'learning_rate': 6.510791366906476e-06, 'epoch': 8.7} -{'loss': 0.4104, 'grad_norm': 2.2073216438293457, 'learning_rate': 6.501798561151079e-06, 'epoch': 8.7} -{'loss': 0.4099, 'grad_norm': 2.2083427906036377, 'learning_rate': 6.4928057553956835e-06, 'epoch': 8.7} -{'loss': 0.4001, 'grad_norm': 2.4257583618164062, 'learning_rate': 6.483812949640287e-06, 'epoch': 8.71} -{'loss': 0.4014, 'grad_norm': 3.095271110534668, 'learning_rate': 6.474820143884892e-06, 'epoch': 8.71} - 87%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 4860/5570 [1:17:16<09:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250870943069458, 'eval_runtime': 1.533, 'eval_samples_per_second': 469.666, 'eval_steps_per_second': 3.914, 'epoch': 8.71} -{'loss': 0.3991, 'grad_norm': 2.0375115871429443, 'learning_rate': 6.465827338129498e-06, 'epoch': 8.71} -{'loss': 0.4077, 'grad_norm': 2.0360443592071533, 'learning_rate': 6.456834532374101e-06, 'epoch': 8.71} -{'loss': 0.4103, 'grad_norm': 3.058452606201172, 'learning_rate': 6.447841726618706e-06, 'epoch': 8.71} -{'loss': 0.4064, 'grad_norm': 2.0556764602661133, 'learning_rate': 6.438848920863309e-06, 'epoch': 8.71} -{'loss': 0.4103, 'grad_norm': 1.378973364830017, 'learning_rate': 6.429856115107914e-06, 'epoch': 8.72} -{'loss': 0.4108, 'grad_norm': 2.6678082942962646, 'learning_rate': 6.420863309352518e-06, 'epoch': 8.72} -{'loss': 0.4082, 'grad_norm': 2.1563332080841064, 'learning_rate': 6.4118705035971225e-06, 'epoch': 8.72} -{'loss': 0.3971, 'grad_norm': 1.8359074592590332, 'learning_rate': 6.402877697841726e-06, 'epoch': 8.72} -{'loss': 0.4048, 'grad_norm': 1.696295976638794, 'learning_rate': 6.393884892086331e-06, 'epoch': 8.72} -{'loss': 0.4065, 'grad_norm': 1.6590555906295776, 'learning_rate': 6.384892086330936e-06, 'epoch': 8.73} - 87%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4870/5570 [1:17:25<09:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42485666275024414, 'eval_runtime': 1.5188, 'eval_samples_per_second': 474.067, 'eval_steps_per_second': 3.951, 'epoch': 8.73} -{'loss': 0.4016, 'grad_norm': 1.7561054229736328, 'learning_rate': 6.3758992805755396e-06, 'epoch': 8.73} -{'loss': 0.4065, 'grad_norm': 2.032484769821167, 'learning_rate': 6.366906474820144e-06, 'epoch': 8.73} -{'loss': 0.4013, 'grad_norm': 1.6613454818725586, 'learning_rate': 6.357913669064748e-06, 'epoch': 8.73} -{'loss': 0.4142, 'grad_norm': 3.4517886638641357, 'learning_rate': 6.348920863309353e-06, 'epoch': 8.73} -{'loss': 0.4091, 'grad_norm': 1.9438467025756836, 'learning_rate': 6.339928057553957e-06, 'epoch': 8.73} -{'loss': 0.4037, 'grad_norm': 1.9347237348556519, 'learning_rate': 6.330935251798561e-06, 'epoch': 8.74} -{'loss': 0.4023, 'grad_norm': 1.6206072568893433, 'learning_rate': 6.321942446043166e-06, 'epoch': 8.74} -{'loss': 0.411, 'grad_norm': 3.770716905593872, 'learning_rate': 6.31294964028777e-06, 'epoch': 8.74} -{'loss': 0.4108, 'grad_norm': 1.7727813720703125, 'learning_rate': 6.303956834532375e-06, 'epoch': 8.74} -{'loss': 0.4066, 'grad_norm': 1.6069519519805908, 'learning_rate': 6.2949640287769785e-06, 'epoch': 8.74} - 88%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4880/5570 [1:17:35<09:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42441532015800476, 'eval_runtime': 1.5159, 'eval_samples_per_second': 474.954, 'eval_steps_per_second': 3.958, 'epoch': 8.74} -{'loss': 0.3997, 'grad_norm': 1.0368419885635376, 'learning_rate': 6.285971223021583e-06, 'epoch': 8.75} -{'loss': 0.407, 'grad_norm': 2.0080833435058594, 'learning_rate': 6.276978417266187e-06, 'epoch': 8.75} -{'loss': 0.4158, 'grad_norm': 1.2298954725265503, 'learning_rate': 6.267985611510792e-06, 'epoch': 8.75} -{'loss': 0.4039, 'grad_norm': 1.9124481678009033, 'learning_rate': 6.258992805755396e-06, 'epoch': 8.75} -{'loss': 0.4141, 'grad_norm': 1.7265844345092773, 'learning_rate': 6.25e-06, 'epoch': 8.75} -{'loss': 0.4, 'grad_norm': 2.4608352184295654, 'learning_rate': 6.241007194244604e-06, 'epoch': 8.75} -{'loss': 0.4083, 'grad_norm': 3.0904505252838135, 'learning_rate': 6.232014388489209e-06, 'epoch': 8.76} -{'loss': 0.4064, 'grad_norm': 3.3897063732147217, 'learning_rate': 6.223021582733813e-06, 'epoch': 8.76} -{'loss': 0.4101, 'grad_norm': 1.2457791566848755, 'learning_rate': 6.214028776978417e-06, 'epoch': 8.76} -{'loss': 0.415, 'grad_norm': 3.2959721088409424, 'learning_rate': 6.205035971223022e-06, 'epoch': 8.76} - 88%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4890/5570 [1:17:44<09:06, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.426358163356781, 'eval_runtime': 1.5357, 'eval_samples_per_second': 468.846, 'eval_steps_per_second': 3.907, 'epoch': 8.76} -{'loss': 0.4143, 'grad_norm': 3.781019687652588, 'learning_rate': 6.196043165467627e-06, 'epoch': 8.76} -{'loss': 0.4086, 'grad_norm': 2.1745691299438477, 'learning_rate': 6.187050359712231e-06, 'epoch': 8.76} -{'loss': 0.4091, 'grad_norm': 3.4663779735565186, 'learning_rate': 6.1780575539568345e-06, 'epoch': 8.77} -{'loss': 0.4098, 'grad_norm': 2.3147828578948975, 'learning_rate': 6.169064748201439e-06, 'epoch': 8.77} -{'loss': 0.4123, 'grad_norm': 2.5632646083831787, 'learning_rate': 6.160071942446043e-06, 'epoch': 8.77} -{'loss': 0.401, 'grad_norm': 2.734617233276367, 'learning_rate': 6.151079136690648e-06, 'epoch': 8.77} -{'loss': 0.4081, 'grad_norm': 3.7374017238616943, 'learning_rate': 6.142086330935252e-06, 'epoch': 8.77} -{'loss': 0.4113, 'grad_norm': 1.966672658920288, 'learning_rate': 6.133093525179856e-06, 'epoch': 8.78} -{'loss': 0.4026, 'grad_norm': 1.5584349632263184, 'learning_rate': 6.124100719424461e-06, 'epoch': 8.78} -{'loss': 0.3959, 'grad_norm': 3.131310224533081, 'learning_rate': 6.115107913669065e-06, 'epoch': 8.78} - 88%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4900/5570 [1:17:54<09:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4263768494129181, 'eval_runtime': 1.5181, 'eval_samples_per_second': 474.263, 'eval_steps_per_second': 3.952, 'epoch': 8.78} -{'loss': 0.4048, 'grad_norm': 3.0618839263916016, 'learning_rate': 6.10611510791367e-06, 'epoch': 8.78} -{'loss': 0.4215, 'grad_norm': 4.5467963218688965, 'learning_rate': 6.0971223021582734e-06, 'epoch': 8.78} -{'loss': 0.4035, 'grad_norm': 2.050959825515747, 'learning_rate': 6.088129496402878e-06, 'epoch': 8.78} -{'loss': 0.4086, 'grad_norm': 2.40138840675354, 'learning_rate': 6.079136690647482e-06, 'epoch': 8.79} -{'loss': 0.414, 'grad_norm': 2.224271059036255, 'learning_rate': 6.070143884892087e-06, 'epoch': 8.79} -{'loss': 0.4035, 'grad_norm': 2.3511910438537598, 'learning_rate': 6.061151079136691e-06, 'epoch': 8.79} -{'loss': 0.4016, 'grad_norm': 1.6775726079940796, 'learning_rate': 6.052158273381295e-06, 'epoch': 8.79} -{'loss': 0.4044, 'grad_norm': 1.7842849493026733, 'learning_rate': 6.0431654676259e-06, 'epoch': 8.79} -{'loss': 0.4129, 'grad_norm': 3.8449063301086426, 'learning_rate': 6.034172661870504e-06, 'epoch': 8.8} -{'loss': 0.4142, 'grad_norm': 2.3398075103759766, 'learning_rate': 6.0251798561151085e-06, 'epoch': 8.8} - 88%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 4910/5570 [1:18:03<08:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4260859191417694, 'eval_runtime': 1.5219, 'eval_samples_per_second': 473.082, 'eval_steps_per_second': 3.942, 'epoch': 8.8} -{'loss': 0.409, 'grad_norm': 2.8069143295288086, 'learning_rate': 6.016187050359712e-06, 'epoch': 8.8} -{'loss': 0.3975, 'grad_norm': 2.0992674827575684, 'learning_rate': 6.007194244604317e-06, 'epoch': 8.8} -{'loss': 0.4043, 'grad_norm': 1.53249990940094, 'learning_rate': 5.998201438848921e-06, 'epoch': 8.8} -{'loss': 0.4143, 'grad_norm': 2.425727605819702, 'learning_rate': 5.989208633093525e-06, 'epoch': 8.8} -{'loss': 0.4045, 'grad_norm': 3.400333881378174, 'learning_rate': 5.98021582733813e-06, 'epoch': 8.81} -{'loss': 0.4065, 'grad_norm': 2.142798662185669, 'learning_rate': 5.971223021582734e-06, 'epoch': 8.81} -{'loss': 0.4101, 'grad_norm': 3.2651591300964355, 'learning_rate': 5.962230215827339e-06, 'epoch': 8.81} -{'loss': 0.4031, 'grad_norm': 2.1043386459350586, 'learning_rate': 5.953237410071943e-06, 'epoch': 8.81} -{'loss': 0.4036, 'grad_norm': 1.537009596824646, 'learning_rate': 5.944244604316547e-06, 'epoch': 8.81} -{'loss': 0.3981, 'grad_norm': 3.300173044204712, 'learning_rate': 5.935251798561151e-06, 'epoch': 8.82} - 88%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 4920/5570 [1:18:13<08:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4263848066329956, 'eval_runtime': 1.5062, 'eval_samples_per_second': 478.02, 'eval_steps_per_second': 3.983, 'epoch': 8.82} -{'loss': 0.4043, 'grad_norm': 3.3932130336761475, 'learning_rate': 5.926258992805755e-06, 'epoch': 8.82} -{'loss': 0.3964, 'grad_norm': 2.1003966331481934, 'learning_rate': 5.91726618705036e-06, 'epoch': 8.82} -{'loss': 0.4054, 'grad_norm': 1.9035953283309937, 'learning_rate': 5.9082733812949645e-06, 'epoch': 8.82} -{'loss': 0.4112, 'grad_norm': 2.2621047496795654, 'learning_rate': 5.899280575539569e-06, 'epoch': 8.82} -{'loss': 0.4117, 'grad_norm': 6.237610816955566, 'learning_rate': 5.890287769784173e-06, 'epoch': 8.82} -{'loss': 0.4214, 'grad_norm': 3.1251060962677, 'learning_rate': 5.881294964028777e-06, 'epoch': 8.83} -{'loss': 0.4063, 'grad_norm': 4.282706260681152, 'learning_rate': 5.872302158273382e-06, 'epoch': 8.83} -{'loss': 0.4069, 'grad_norm': 2.47758150100708, 'learning_rate': 5.8633093525179855e-06, 'epoch': 8.83} -{'loss': 0.4081, 'grad_norm': 2.5218162536621094, 'learning_rate': 5.85431654676259e-06, 'epoch': 8.83} -{'loss': 0.4074, 'grad_norm': 3.3509504795074463, 'learning_rate': 5.845323741007194e-06, 'epoch': 8.83} - 89%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 4930/5570 [1:18:22<08:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42589420080184937, 'eval_runtime': 1.5311, 'eval_samples_per_second': 470.255, 'eval_steps_per_second': 3.919, 'epoch': 8.83} -{'loss': 0.4112, 'grad_norm': 2.688204765319824, 'learning_rate': 5.836330935251799e-06, 'epoch': 8.83} -{'loss': 0.4055, 'grad_norm': 2.2297539710998535, 'learning_rate': 5.8273381294964035e-06, 'epoch': 8.84} -{'loss': 0.4076, 'grad_norm': 2.500194787979126, 'learning_rate': 5.818345323741007e-06, 'epoch': 8.84} -{'loss': 0.3993, 'grad_norm': 2.224045991897583, 'learning_rate': 5.809352517985612e-06, 'epoch': 8.84} -{'loss': 0.4054, 'grad_norm': 2.51530122756958, 'learning_rate': 5.800359712230216e-06, 'epoch': 8.84} -{'loss': 0.3964, 'grad_norm': 1.2916228771209717, 'learning_rate': 5.791366906474821e-06, 'epoch': 8.84} -{'loss': 0.4125, 'grad_norm': 1.8406656980514526, 'learning_rate': 5.7823741007194244e-06, 'epoch': 8.85} -{'loss': 0.4128, 'grad_norm': 3.1125049591064453, 'learning_rate': 5.773381294964029e-06, 'epoch': 8.85} -{'loss': 0.3988, 'grad_norm': 1.3299248218536377, 'learning_rate': 5.764388489208633e-06, 'epoch': 8.85} -{'loss': 0.4087, 'grad_norm': 3.3658933639526367, 'learning_rate': 5.755395683453238e-06, 'epoch': 8.85} - 89%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4940/5570 [1:18:32<08:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42619451880455017, 'eval_runtime': 1.5347, 'eval_samples_per_second': 469.132, 'eval_steps_per_second': 3.909, 'epoch': 8.85} -{'loss': 0.4075, 'grad_norm': 4.242244720458984, 'learning_rate': 5.746402877697842e-06, 'epoch': 8.85} -{'loss': 0.4025, 'grad_norm': 2.7331628799438477, 'learning_rate': 5.737410071942446e-06, 'epoch': 8.85} -{'loss': 0.4208, 'grad_norm': 3.078153133392334, 'learning_rate': 5.728417266187051e-06, 'epoch': 8.86} -{'loss': 0.3926, 'grad_norm': 2.1172220706939697, 'learning_rate': 5.719424460431655e-06, 'epoch': 8.86} -{'loss': 0.4011, 'grad_norm': 2.537749767303467, 'learning_rate': 5.7104316546762595e-06, 'epoch': 8.86} -{'loss': 0.403, 'grad_norm': 3.304992198944092, 'learning_rate': 5.701438848920863e-06, 'epoch': 8.86} -{'loss': 0.4075, 'grad_norm': 4.850519180297852, 'learning_rate': 5.692446043165467e-06, 'epoch': 8.86} -{'loss': 0.4159, 'grad_norm': 2.709442138671875, 'learning_rate': 5.683453237410073e-06, 'epoch': 8.87} -{'loss': 0.409, 'grad_norm': 3.5624048709869385, 'learning_rate': 5.674460431654677e-06, 'epoch': 8.87} -{'loss': 0.4076, 'grad_norm': 5.079381942749023, 'learning_rate': 5.665467625899281e-06, 'epoch': 8.87} - 89%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 4950/5570 [1:18:42<08:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250587522983551, 'eval_runtime': 1.5249, 'eval_samples_per_second': 472.172, 'eval_steps_per_second': 3.935, 'epoch': 8.87} -{'loss': 0.4019, 'grad_norm': 2.704131603240967, 'learning_rate': 5.656474820143885e-06, 'epoch': 8.87} -{'loss': 0.4051, 'grad_norm': 2.3099801540374756, 'learning_rate': 5.64748201438849e-06, 'epoch': 8.87} -{'loss': 0.412, 'grad_norm': 3.8042116165161133, 'learning_rate': 5.638489208633094e-06, 'epoch': 8.87} -{'loss': 0.4173, 'grad_norm': 3.858581304550171, 'learning_rate': 5.629496402877698e-06, 'epoch': 8.88} -{'loss': 0.4124, 'grad_norm': 3.1209754943847656, 'learning_rate': 5.620503597122302e-06, 'epoch': 8.88} -{'loss': 0.4053, 'grad_norm': 1.666882038116455, 'learning_rate': 5.611510791366906e-06, 'epoch': 8.88} -{'loss': 0.4209, 'grad_norm': 2.7387936115264893, 'learning_rate': 5.602517985611512e-06, 'epoch': 8.88} -{'loss': 0.4006, 'grad_norm': 1.6872752904891968, 'learning_rate': 5.5935251798561155e-06, 'epoch': 8.88} -{'loss': 0.3994, 'grad_norm': 3.016159772872925, 'learning_rate': 5.584532374100719e-06, 'epoch': 8.89} -{'loss': 0.4019, 'grad_norm': 1.7011096477508545, 'learning_rate': 5.575539568345324e-06, 'epoch': 8.89} - 89%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 4960/5570 [1:18:51<08:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4247458875179291, 'eval_runtime': 1.5341, 'eval_samples_per_second': 469.321, 'eval_steps_per_second': 3.911, 'epoch': 8.89} -{'loss': 0.3997, 'grad_norm': 1.6762555837631226, 'learning_rate': 5.566546762589928e-06, 'epoch': 8.89} -{'loss': 0.3998, 'grad_norm': 2.0525219440460205, 'learning_rate': 5.557553956834533e-06, 'epoch': 8.89} -{'loss': 0.4039, 'grad_norm': 1.8774151802062988, 'learning_rate': 5.5485611510791365e-06, 'epoch': 8.89} -{'loss': 0.4052, 'grad_norm': 1.916377305984497, 'learning_rate': 5.539568345323741e-06, 'epoch': 8.89} -{'loss': 0.4019, 'grad_norm': 2.43377685546875, 'learning_rate': 5.530575539568346e-06, 'epoch': 8.9} -{'loss': 0.4132, 'grad_norm': 2.2398788928985596, 'learning_rate': 5.52158273381295e-06, 'epoch': 8.9} -{'loss': 0.4029, 'grad_norm': 2.0194058418273926, 'learning_rate': 5.5125899280575545e-06, 'epoch': 8.9} -{'loss': 0.4041, 'grad_norm': 1.8679159879684448, 'learning_rate': 5.503597122302158e-06, 'epoch': 8.9} -{'loss': 0.3976, 'grad_norm': 2.681063175201416, 'learning_rate': 5.494604316546763e-06, 'epoch': 8.9} -{'loss': 0.4081, 'grad_norm': 1.9242371320724487, 'learning_rate': 5.485611510791367e-06, 'epoch': 8.9} - 89%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 4970/5570 [1:19:01<08:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42406556010246277, 'eval_runtime': 1.5215, 'eval_samples_per_second': 473.215, 'eval_steps_per_second': 3.943, 'epoch': 8.9} -{'loss': 0.4138, 'grad_norm': 2.078148603439331, 'learning_rate': 5.4766187050359716e-06, 'epoch': 8.91} -{'loss': 0.4159, 'grad_norm': 1.4804401397705078, 'learning_rate': 5.4676258992805754e-06, 'epoch': 8.91} -{'loss': 0.4013, 'grad_norm': 2.0547025203704834, 'learning_rate': 5.45863309352518e-06, 'epoch': 8.91} -{'loss': 0.4066, 'grad_norm': 2.1192429065704346, 'learning_rate': 5.449640287769785e-06, 'epoch': 8.91} -{'loss': 0.4092, 'grad_norm': 2.511762857437134, 'learning_rate': 5.440647482014389e-06, 'epoch': 8.91} -{'loss': 0.4059, 'grad_norm': 1.7438271045684814, 'learning_rate': 5.431654676258993e-06, 'epoch': 8.92} -{'loss': 0.4066, 'grad_norm': 1.5680550336837769, 'learning_rate': 5.422661870503597e-06, 'epoch': 8.92} -{'loss': 0.4048, 'grad_norm': 1.8963135480880737, 'learning_rate': 5.413669064748202e-06, 'epoch': 8.92} -{'loss': 0.4125, 'grad_norm': 1.73514986038208, 'learning_rate': 5.404676258992806e-06, 'epoch': 8.92} -{'loss': 0.4108, 'grad_norm': 2.6486732959747314, 'learning_rate': 5.3956834532374105e-06, 'epoch': 8.92} - 89%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 4980/5570 [1:19:10<07:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4249016344547272, 'eval_runtime': 1.5181, 'eval_samples_per_second': 474.264, 'eval_steps_per_second': 3.952, 'epoch': 8.92} -{'loss': 0.4149, 'grad_norm': 2.53802752494812, 'learning_rate': 5.386690647482014e-06, 'epoch': 8.92} -{'loss': 0.4071, 'grad_norm': 2.089498281478882, 'learning_rate': 5.377697841726619e-06, 'epoch': 8.93} -{'loss': 0.4076, 'grad_norm': 2.5479986667633057, 'learning_rate': 5.368705035971224e-06, 'epoch': 8.93} -{'loss': 0.4036, 'grad_norm': 2.701223611831665, 'learning_rate': 5.359712230215828e-06, 'epoch': 8.93} -{'loss': 0.4109, 'grad_norm': 3.37662672996521, 'learning_rate': 5.350719424460432e-06, 'epoch': 8.93} -{'loss': 0.3994, 'grad_norm': 1.8068560361862183, 'learning_rate': 5.341726618705036e-06, 'epoch': 8.93} -{'loss': 0.4057, 'grad_norm': 2.5629723072052, 'learning_rate': 5.33273381294964e-06, 'epoch': 8.94} -{'loss': 0.4146, 'grad_norm': 2.101897716522217, 'learning_rate': 5.323741007194245e-06, 'epoch': 8.94} -{'loss': 0.4018, 'grad_norm': 2.8108654022216797, 'learning_rate': 5.3147482014388486e-06, 'epoch': 8.94} -{'loss': 0.408, 'grad_norm': 1.71968674659729, 'learning_rate': 5.305755395683454e-06, 'epoch': 8.94} - 90%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 4990/5570 [1:19:20<07:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42419514060020447, 'eval_runtime': 1.5229, 'eval_samples_per_second': 472.797, 'eval_steps_per_second': 3.94, 'epoch': 8.94} -{'loss': 0.4098, 'grad_norm': 1.3323674201965332, 'learning_rate': 5.296762589928058e-06, 'epoch': 8.94} -{'loss': 0.4081, 'grad_norm': 2.608119010925293, 'learning_rate': 5.287769784172663e-06, 'epoch': 8.94} -{'loss': 0.3992, 'grad_norm': 3.9106316566467285, 'learning_rate': 5.2787769784172665e-06, 'epoch': 8.95} -{'loss': 0.3989, 'grad_norm': 2.8514139652252197, 'learning_rate': 5.26978417266187e-06, 'epoch': 8.95} -{'loss': 0.4052, 'grad_norm': 2.11086106300354, 'learning_rate': 5.260791366906475e-06, 'epoch': 8.95} -{'loss': 0.3935, 'grad_norm': 1.296764612197876, 'learning_rate': 5.251798561151079e-06, 'epoch': 8.95} -{'loss': 0.4083, 'grad_norm': 2.6454174518585205, 'learning_rate': 5.242805755395684e-06, 'epoch': 8.95} -{'loss': 0.4078, 'grad_norm': 3.085874557495117, 'learning_rate': 5.2338129496402875e-06, 'epoch': 8.96} -{'loss': 0.4071, 'grad_norm': 2.9261913299560547, 'learning_rate': 5.224820143884892e-06, 'epoch': 8.96} -{'loss': 0.401, 'grad_norm': 2.744398832321167, 'learning_rate': 5.215827338129497e-06, 'epoch': 8.96} - 90%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5000/5570 [1:19:29<07:40, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4238334596157074, 'eval_runtime': 1.5325, 'eval_samples_per_second': 469.825, 'eval_steps_per_second': 3.915, 'epoch': 8.96} -{'loss': 0.4029, 'grad_norm': 1.5398969650268555, 'learning_rate': 5.206834532374101e-06, 'epoch': 8.96} -{'loss': 0.4111, 'grad_norm': 3.1677184104919434, 'learning_rate': 5.1978417266187055e-06, 'epoch': 8.96} -{'loss': 0.4072, 'grad_norm': 2.9027280807495117, 'learning_rate': 5.188848920863309e-06, 'epoch': 8.96} -{'loss': 0.4081, 'grad_norm': 4.728496551513672, 'learning_rate': 5.179856115107914e-06, 'epoch': 8.97} -{'loss': 0.4048, 'grad_norm': 3.2057056427001953, 'learning_rate': 5.170863309352518e-06, 'epoch': 8.97} -{'loss': 0.4034, 'grad_norm': 2.641202449798584, 'learning_rate': 5.1618705035971226e-06, 'epoch': 8.97} -{'loss': 0.4066, 'grad_norm': 1.4727269411087036, 'learning_rate': 5.152877697841727e-06, 'epoch': 8.97} -{'loss': 0.4012, 'grad_norm': 1.4815704822540283, 'learning_rate': 5.143884892086331e-06, 'epoch': 8.97} -{'loss': 0.4042, 'grad_norm': 2.324256181716919, 'learning_rate': 5.134892086330936e-06, 'epoch': 8.97} -{'loss': 0.4069, 'grad_norm': 4.187417984008789, 'learning_rate': 5.12589928057554e-06, 'epoch': 8.98} - 90%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5010/5570 [1:19:40<07:44, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.424773246049881, 'eval_runtime': 1.5355, 'eval_samples_per_second': 468.915, 'eval_steps_per_second': 3.908, 'epoch': 8.98} -{'loss': 0.4117, 'grad_norm': 2.721048355102539, 'learning_rate': 5.116906474820144e-06, 'epoch': 8.98} -{'loss': 0.4008, 'grad_norm': 1.514396071434021, 'learning_rate': 5.107913669064748e-06, 'epoch': 8.98} -{'loss': 0.4064, 'grad_norm': 2.786536455154419, 'learning_rate': 5.098920863309353e-06, 'epoch': 8.98} -{'loss': 0.4073, 'grad_norm': 2.206508159637451, 'learning_rate': 5.089928057553957e-06, 'epoch': 8.98} -{'loss': 0.4082, 'grad_norm': 2.8831965923309326, 'learning_rate': 5.0809352517985615e-06, 'epoch': 8.99} -{'loss': 0.4022, 'grad_norm': 1.7651482820510864, 'learning_rate': 5.071942446043166e-06, 'epoch': 8.99} -{'loss': 0.4032, 'grad_norm': 1.1464402675628662, 'learning_rate': 5.06294964028777e-06, 'epoch': 8.99} -{'loss': 0.3989, 'grad_norm': 1.2618063688278198, 'learning_rate': 5.053956834532375e-06, 'epoch': 8.99} -{'loss': 0.411, 'grad_norm': 3.2420918941497803, 'learning_rate': 5.044964028776979e-06, 'epoch': 8.99} -{'loss': 0.3968, 'grad_norm': 1.9862985610961914, 'learning_rate': 5.035971223021583e-06, 'epoch': 8.99} - 90%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5020/5570 [1:19:49<07:19, 1.25it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42434048652648926, 'eval_runtime': 1.5269, 'eval_samples_per_second': 471.558, 'eval_steps_per_second': 3.93, 'epoch': 8.99} -{'loss': 0.4041, 'grad_norm': 1.5852400064468384, 'learning_rate': 5.026978417266187e-06, 'epoch': 9.0} -{'loss': 0.4067, 'grad_norm': 2.042766571044922, 'learning_rate': 5.017985611510791e-06, 'epoch': 9.0} -{'loss': 0.3867, 'grad_norm': 2.2900571823120117, 'learning_rate': 5.008992805755396e-06, 'epoch': 9.0} -{'loss': 0.4063, 'grad_norm': 2.776735782623291, 'learning_rate': 5e-06, 'epoch': 9.0} -{'loss': 0.3996, 'grad_norm': 2.7446537017822266, 'learning_rate': 4.991007194244605e-06, 'epoch': 9.0} -{'loss': 0.396, 'grad_norm': 2.603285074234009, 'learning_rate': 4.982014388489209e-06, 'epoch': 9.01} -{'loss': 0.4141, 'grad_norm': 1.3560991287231445, 'learning_rate': 4.973021582733813e-06, 'epoch': 9.01} -{'loss': 0.4033, 'grad_norm': 1.6495952606201172, 'learning_rate': 4.9640287769784175e-06, 'epoch': 9.01} -{'loss': 0.4023, 'grad_norm': 3.1744089126586914, 'learning_rate': 4.955035971223021e-06, 'epoch': 9.01} -{'loss': 0.4017, 'grad_norm': 3.2988462448120117, 'learning_rate': 4.946043165467626e-06, 'epoch': 9.01} - 90%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5030/5570 [1:19:59<07:15, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42508113384246826, 'eval_runtime': 1.5228, 'eval_samples_per_second': 472.8, 'eval_steps_per_second': 3.94, 'epoch': 9.01} -{'loss': 0.3933, 'grad_norm': 4.672779083251953, 'learning_rate': 4.93705035971223e-06, 'epoch': 9.01} -{'loss': 0.4032, 'grad_norm': 2.9036335945129395, 'learning_rate': 4.9280575539568355e-06, 'epoch': 9.02} -{'loss': 0.4003, 'grad_norm': 1.4776417016983032, 'learning_rate': 4.919064748201439e-06, 'epoch': 9.02} -{'loss': 0.3954, 'grad_norm': 2.7692787647247314, 'learning_rate': 4.910071942446043e-06, 'epoch': 9.02} -{'loss': 0.396, 'grad_norm': 3.382187843322754, 'learning_rate': 4.901079136690648e-06, 'epoch': 9.02} -{'loss': 0.4059, 'grad_norm': 4.911820411682129, 'learning_rate': 4.892086330935252e-06, 'epoch': 9.02} -{'loss': 0.3979, 'grad_norm': 2.6835474967956543, 'learning_rate': 4.8830935251798564e-06, 'epoch': 9.03} -{'loss': 0.3937, 'grad_norm': 1.5291956663131714, 'learning_rate': 4.87410071942446e-06, 'epoch': 9.03} -{'loss': 0.4009, 'grad_norm': 1.014884114265442, 'learning_rate': 4.865107913669065e-06, 'epoch': 9.03} -{'loss': 0.3937, 'grad_norm': 1.7462894916534424, 'learning_rate': 4.85611510791367e-06, 'epoch': 9.03} - 90%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5040/5570 [1:20:08<07:09, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42712995409965515, 'eval_runtime': 1.5159, 'eval_samples_per_second': 474.964, 'eval_steps_per_second': 3.958, 'epoch': 9.03} -{'loss': 0.3918, 'grad_norm': 3.5100560188293457, 'learning_rate': 4.8471223021582736e-06, 'epoch': 9.03} -{'loss': 0.3931, 'grad_norm': 2.9519870281219482, 'learning_rate': 4.838129496402878e-06, 'epoch': 9.03} -{'loss': 0.4099, 'grad_norm': 3.2652313709259033, 'learning_rate': 4.829136690647482e-06, 'epoch': 9.04} -{'loss': 0.3931, 'grad_norm': 1.19232177734375, 'learning_rate': 4.820143884892087e-06, 'epoch': 9.04} -{'loss': 0.3946, 'grad_norm': 2.0163371562957764, 'learning_rate': 4.811151079136691e-06, 'epoch': 9.04} -{'loss': 0.3995, 'grad_norm': 1.6656121015548706, 'learning_rate': 4.802158273381295e-06, 'epoch': 9.04} -{'loss': 0.4033, 'grad_norm': 1.8799794912338257, 'learning_rate': 4.793165467625899e-06, 'epoch': 9.04} -{'loss': 0.4033, 'grad_norm': 2.250366687774658, 'learning_rate': 4.784172661870504e-06, 'epoch': 9.04} -{'loss': 0.3999, 'grad_norm': 1.981018304824829, 'learning_rate': 4.775179856115109e-06, 'epoch': 9.05} -{'loss': 0.4018, 'grad_norm': 2.8958580493927, 'learning_rate': 4.7661870503597125e-06, 'epoch': 9.05} - 91%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5050/5570 [1:20:18<07:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42608702182769775, 'eval_runtime': 1.5265, 'eval_samples_per_second': 471.679, 'eval_steps_per_second': 3.931, 'epoch': 9.05} -{'loss': 0.4042, 'grad_norm': 2.5561046600341797, 'learning_rate': 4.757194244604317e-06, 'epoch': 9.05} -{'loss': 0.4103, 'grad_norm': 2.840447425842285, 'learning_rate': 4.748201438848921e-06, 'epoch': 9.05} -{'loss': 0.3949, 'grad_norm': 2.283299446105957, 'learning_rate': 4.739208633093526e-06, 'epoch': 9.05} -{'loss': 0.4028, 'grad_norm': 1.803460717201233, 'learning_rate': 4.73021582733813e-06, 'epoch': 9.06} -{'loss': 0.3903, 'grad_norm': 2.7095656394958496, 'learning_rate': 4.7212230215827334e-06, 'epoch': 9.06} -{'loss': 0.4162, 'grad_norm': 3.5165934562683105, 'learning_rate': 4.712230215827338e-06, 'epoch': 9.06} -{'loss': 0.3907, 'grad_norm': 2.3093855381011963, 'learning_rate': 4.703237410071943e-06, 'epoch': 9.06} -{'loss': 0.4117, 'grad_norm': 2.4601662158966064, 'learning_rate': 4.6942446043165475e-06, 'epoch': 9.06} -{'loss': 0.4008, 'grad_norm': 2.634770154953003, 'learning_rate': 4.685251798561151e-06, 'epoch': 9.06} -{'loss': 0.3975, 'grad_norm': 1.5684136152267456, 'learning_rate': 4.676258992805756e-06, 'epoch': 9.07} - 91%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5060/5570 [1:20:27<06:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4255569577217102, 'eval_runtime': 1.5139, 'eval_samples_per_second': 475.59, 'eval_steps_per_second': 3.963, 'epoch': 9.07} -{'loss': 0.3965, 'grad_norm': 1.4045512676239014, 'learning_rate': 4.66726618705036e-06, 'epoch': 9.07} -{'loss': 0.3986, 'grad_norm': 1.9839528799057007, 'learning_rate': 4.658273381294964e-06, 'epoch': 9.07} -{'loss': 0.3969, 'grad_norm': 2.3031859397888184, 'learning_rate': 4.6492805755395685e-06, 'epoch': 9.07} -{'loss': 0.4083, 'grad_norm': 1.9276716709136963, 'learning_rate': 4.640287769784172e-06, 'epoch': 9.07} -{'loss': 0.4077, 'grad_norm': 1.205838680267334, 'learning_rate': 4.631294964028777e-06, 'epoch': 9.08} -{'loss': 0.3983, 'grad_norm': 1.515616774559021, 'learning_rate': 4.622302158273382e-06, 'epoch': 9.08} -{'loss': 0.4074, 'grad_norm': 1.8667500019073486, 'learning_rate': 4.613309352517986e-06, 'epoch': 9.08} -{'loss': 0.4113, 'grad_norm': 1.6737895011901855, 'learning_rate': 4.60431654676259e-06, 'epoch': 9.08} -{'loss': 0.4059, 'grad_norm': 1.564049482345581, 'learning_rate': 4.595323741007194e-06, 'epoch': 9.08} -{'loss': 0.3984, 'grad_norm': 1.7720379829406738, 'learning_rate': 4.586330935251799e-06, 'epoch': 9.08} - 91%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5070/5570 [1:20:37<06:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4254584312438965, 'eval_runtime': 1.5314, 'eval_samples_per_second': 470.154, 'eval_steps_per_second': 3.918, 'epoch': 9.08} -{'loss': 0.3966, 'grad_norm': 1.7752782106399536, 'learning_rate': 4.577338129496403e-06, 'epoch': 9.09} -{'loss': 0.4027, 'grad_norm': 1.7408462762832642, 'learning_rate': 4.5683453237410074e-06, 'epoch': 9.09} -{'loss': 0.4016, 'grad_norm': 1.7637044191360474, 'learning_rate': 4.559352517985611e-06, 'epoch': 9.09} -{'loss': 0.396, 'grad_norm': 2.531419038772583, 'learning_rate': 4.550359712230216e-06, 'epoch': 9.09} -{'loss': 0.4038, 'grad_norm': 1.2693557739257812, 'learning_rate': 4.541366906474821e-06, 'epoch': 9.09} -{'loss': 0.4074, 'grad_norm': 3.27988862991333, 'learning_rate': 4.5323741007194245e-06, 'epoch': 9.1} -{'loss': 0.4032, 'grad_norm': 3.6051599979400635, 'learning_rate': 4.523381294964029e-06, 'epoch': 9.1} -{'loss': 0.4093, 'grad_norm': 3.1897082328796387, 'learning_rate': 4.514388489208633e-06, 'epoch': 9.1} -{'loss': 0.4132, 'grad_norm': 2.0266945362091064, 'learning_rate': 4.505395683453238e-06, 'epoch': 9.1} -{'loss': 0.395, 'grad_norm': 2.1014902591705322, 'learning_rate': 4.496402877697842e-06, 'epoch': 9.1} - 91%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5080/5570 [1:20:46<06:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4258621633052826, 'eval_runtime': 1.5183, 'eval_samples_per_second': 474.212, 'eval_steps_per_second': 3.952, 'epoch': 9.1} -{'loss': 0.3976, 'grad_norm': 2.086130380630493, 'learning_rate': 4.487410071942446e-06, 'epoch': 9.1} -{'loss': 0.404, 'grad_norm': 1.2437902688980103, 'learning_rate': 4.478417266187051e-06, 'epoch': 9.11} -{'loss': 0.412, 'grad_norm': 3.943347454071045, 'learning_rate': 4.469424460431655e-06, 'epoch': 9.11} -{'loss': 0.403, 'grad_norm': 2.49324893951416, 'learning_rate': 4.46043165467626e-06, 'epoch': 9.11} -{'loss': 0.4077, 'grad_norm': 1.8550951480865479, 'learning_rate': 4.4514388489208635e-06, 'epoch': 9.11} -{'loss': 0.402, 'grad_norm': 2.105382204055786, 'learning_rate': 4.442446043165468e-06, 'epoch': 9.11} -{'loss': 0.3974, 'grad_norm': 2.772298812866211, 'learning_rate': 4.433453237410072e-06, 'epoch': 9.11} -{'loss': 0.4084, 'grad_norm': 2.476839780807495, 'learning_rate': 4.424460431654677e-06, 'epoch': 9.12} -{'loss': 0.3949, 'grad_norm': 3.564704179763794, 'learning_rate': 4.415467625899281e-06, 'epoch': 9.12} -{'loss': 0.413, 'grad_norm': 2.359031915664673, 'learning_rate': 4.4064748201438844e-06, 'epoch': 9.12} - 91%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5090/5570 [1:20:56<06:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42539167404174805, 'eval_runtime': 1.5085, 'eval_samples_per_second': 477.289, 'eval_steps_per_second': 3.977, 'epoch': 9.12} -{'loss': 0.4043, 'grad_norm': 2.0199124813079834, 'learning_rate': 4.39748201438849e-06, 'epoch': 9.12} -{'loss': 0.4019, 'grad_norm': 1.4455540180206299, 'learning_rate': 4.388489208633094e-06, 'epoch': 9.12} -{'loss': 0.4017, 'grad_norm': 1.735375165939331, 'learning_rate': 4.3794964028776985e-06, 'epoch': 9.13} -{'loss': 0.4008, 'grad_norm': 1.3584752082824707, 'learning_rate': 4.370503597122302e-06, 'epoch': 9.13} -{'loss': 0.3966, 'grad_norm': 2.071265697479248, 'learning_rate': 4.361510791366906e-06, 'epoch': 9.13} -{'loss': 0.4003, 'grad_norm': 1.7614620923995972, 'learning_rate': 4.352517985611511e-06, 'epoch': 9.13} -{'loss': 0.3981, 'grad_norm': 1.419919490814209, 'learning_rate': 4.343525179856115e-06, 'epoch': 9.13} -{'loss': 0.4031, 'grad_norm': 1.8364237546920776, 'learning_rate': 4.3345323741007195e-06, 'epoch': 9.13} -{'loss': 0.4156, 'grad_norm': 2.082265615463257, 'learning_rate': 4.325539568345324e-06, 'epoch': 9.14} -{'loss': 0.3994, 'grad_norm': 1.947046160697937, 'learning_rate': 4.316546762589929e-06, 'epoch': 9.14} - 92%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5100/5570 [1:21:05<06:20, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42608311772346497, 'eval_runtime': 1.5254, 'eval_samples_per_second': 472.004, 'eval_steps_per_second': 3.933, 'epoch': 9.14} -{'loss': 0.3903, 'grad_norm': 1.4697155952453613, 'learning_rate': 4.307553956834533e-06, 'epoch': 9.14} -{'loss': 0.4073, 'grad_norm': 1.6738359928131104, 'learning_rate': 4.298561151079137e-06, 'epoch': 9.14} -{'loss': 0.397, 'grad_norm': 3.061509370803833, 'learning_rate': 4.289568345323741e-06, 'epoch': 9.14} -{'loss': 0.4086, 'grad_norm': 2.9113428592681885, 'learning_rate': 4.280575539568345e-06, 'epoch': 9.15} -{'loss': 0.4115, 'grad_norm': 1.0470521450042725, 'learning_rate': 4.27158273381295e-06, 'epoch': 9.15} -{'loss': 0.4014, 'grad_norm': 1.4295076131820679, 'learning_rate': 4.262589928057554e-06, 'epoch': 9.15} -{'loss': 0.4036, 'grad_norm': 3.1975560188293457, 'learning_rate': 4.2535971223021584e-06, 'epoch': 9.15} -{'loss': 0.4062, 'grad_norm': 4.479740619659424, 'learning_rate': 4.244604316546763e-06, 'epoch': 9.15} -{'loss': 0.4046, 'grad_norm': 2.267518997192383, 'learning_rate': 4.235611510791367e-06, 'epoch': 9.15} -{'loss': 0.3957, 'grad_norm': 1.2494007349014282, 'learning_rate': 4.226618705035972e-06, 'epoch': 9.16} - 92%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5110/5570 [1:21:15<06:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42658093571662903, 'eval_runtime': 1.5138, 'eval_samples_per_second': 475.637, 'eval_steps_per_second': 3.964, 'epoch': 9.16} -{'loss': 0.4012, 'grad_norm': 1.8959349393844604, 'learning_rate': 4.2176258992805755e-06, 'epoch': 9.16} -{'loss': 0.3999, 'grad_norm': 2.5020651817321777, 'learning_rate': 4.20863309352518e-06, 'epoch': 9.16} -{'loss': 0.3861, 'grad_norm': 3.553058385848999, 'learning_rate': 4.199640287769784e-06, 'epoch': 9.16} -{'loss': 0.3961, 'grad_norm': 2.764846086502075, 'learning_rate': 4.190647482014389e-06, 'epoch': 9.16} -{'loss': 0.4025, 'grad_norm': 1.6067020893096924, 'learning_rate': 4.181654676258993e-06, 'epoch': 9.17} -{'loss': 0.3963, 'grad_norm': 1.2448313236236572, 'learning_rate': 4.172661870503597e-06, 'epoch': 9.17} -{'loss': 0.3983, 'grad_norm': 2.346571922302246, 'learning_rate': 4.163669064748202e-06, 'epoch': 9.17} -{'loss': 0.3987, 'grad_norm': 3.4773216247558594, 'learning_rate': 4.154676258992806e-06, 'epoch': 9.17} -{'loss': 0.3921, 'grad_norm': 1.8690050840377808, 'learning_rate': 4.145683453237411e-06, 'epoch': 9.17} -{'loss': 0.3985, 'grad_norm': 3.1469902992248535, 'learning_rate': 4.1366906474820145e-06, 'epoch': 9.17} - 92%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5120/5570 [1:21:24<06:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4277745187282562, 'eval_runtime': 1.5228, 'eval_samples_per_second': 472.8, 'eval_steps_per_second': 3.94, 'epoch': 9.17} -{'loss': 0.396, 'grad_norm': 1.7465767860412598, 'learning_rate': 4.127697841726619e-06, 'epoch': 9.18} -{'loss': 0.4003, 'grad_norm': 1.8051230907440186, 'learning_rate': 4.118705035971223e-06, 'epoch': 9.18} -{'loss': 0.4079, 'grad_norm': 2.542219638824463, 'learning_rate': 4.109712230215827e-06, 'epoch': 9.18} -{'loss': 0.3892, 'grad_norm': 2.1195261478424072, 'learning_rate': 4.100719424460432e-06, 'epoch': 9.18} -{'loss': 0.3946, 'grad_norm': 1.2355680465698242, 'learning_rate': 4.091726618705036e-06, 'epoch': 9.18} -{'loss': 0.4007, 'grad_norm': 4.499517917633057, 'learning_rate': 4.082733812949641e-06, 'epoch': 9.18} -{'loss': 0.3994, 'grad_norm': 3.710355043411255, 'learning_rate': 4.073741007194245e-06, 'epoch': 9.19} -{'loss': 0.3998, 'grad_norm': 3.3460233211517334, 'learning_rate': 4.064748201438849e-06, 'epoch': 9.19} -{'loss': 0.3978, 'grad_norm': 2.4927682876586914, 'learning_rate': 4.055755395683453e-06, 'epoch': 9.19} -{'loss': 0.4001, 'grad_norm': 1.1496858596801758, 'learning_rate': 4.046762589928057e-06, 'epoch': 9.19} - 92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5130/5570 [1:21:34<05:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4273796081542969, 'eval_runtime': 1.5234, 'eval_samples_per_second': 472.631, 'eval_steps_per_second': 3.939, 'epoch': 9.19} -{'loss': 0.4059, 'grad_norm': 3.8054263591766357, 'learning_rate': 4.037769784172662e-06, 'epoch': 9.19} -{'loss': 0.3942, 'grad_norm': 2.6215152740478516, 'learning_rate': 4.028776978417266e-06, 'epoch': 9.2} -{'loss': 0.404, 'grad_norm': 2.234048843383789, 'learning_rate': 4.019784172661871e-06, 'epoch': 9.2} -{'loss': 0.4091, 'grad_norm': 3.5201609134674072, 'learning_rate': 4.010791366906475e-06, 'epoch': 9.2} -{'loss': 0.4052, 'grad_norm': 2.0009279251098633, 'learning_rate': 4.001798561151079e-06, 'epoch': 9.2} -{'loss': 0.4054, 'grad_norm': 1.6844909191131592, 'learning_rate': 3.992805755395684e-06, 'epoch': 9.2} -{'loss': 0.4016, 'grad_norm': 1.9779796600341797, 'learning_rate': 3.983812949640288e-06, 'epoch': 9.2} -{'loss': 0.4106, 'grad_norm': 2.443294048309326, 'learning_rate': 3.974820143884892e-06, 'epoch': 9.21} -{'loss': 0.3974, 'grad_norm': 1.4505791664123535, 'learning_rate': 3.965827338129496e-06, 'epoch': 9.21} -{'loss': 0.396, 'grad_norm': 3.0487327575683594, 'learning_rate': 3.956834532374101e-06, 'epoch': 9.21} - 92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5140/5570 [1:21:43<05:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265803098678589, 'eval_runtime': 1.5247, 'eval_samples_per_second': 472.227, 'eval_steps_per_second': 3.935, 'epoch': 9.21} -{'loss': 0.4023, 'grad_norm': 2.0413265228271484, 'learning_rate': 3.9478417266187056e-06, 'epoch': 9.21} -{'loss': 0.3915, 'grad_norm': 1.2679880857467651, 'learning_rate': 3.938848920863309e-06, 'epoch': 9.21} -{'loss': 0.4022, 'grad_norm': 1.5095360279083252, 'learning_rate': 3.929856115107914e-06, 'epoch': 9.22} -{'loss': 0.3923, 'grad_norm': 2.4936208724975586, 'learning_rate': 3.920863309352518e-06, 'epoch': 9.22} -{'loss': 0.3969, 'grad_norm': 0.9035959243774414, 'learning_rate': 3.911870503597123e-06, 'epoch': 9.22} -{'loss': 0.4034, 'grad_norm': 2.515961170196533, 'learning_rate': 3.9028776978417265e-06, 'epoch': 9.22} -{'loss': 0.3966, 'grad_norm': 2.6546549797058105, 'learning_rate': 3.893884892086331e-06, 'epoch': 9.22} -{'loss': 0.391, 'grad_norm': 2.4027907848358154, 'learning_rate': 3.884892086330935e-06, 'epoch': 9.22} -{'loss': 0.4031, 'grad_norm': 2.2075562477111816, 'learning_rate': 3.87589928057554e-06, 'epoch': 9.23} -{'loss': 0.403, 'grad_norm': 1.3943928480148315, 'learning_rate': 3.8669064748201445e-06, 'epoch': 9.23} - 92%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5150/5570 [1:21:53<05:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4263351559638977, 'eval_runtime': 1.5236, 'eval_samples_per_second': 472.559, 'eval_steps_per_second': 3.938, 'epoch': 9.23} -{'loss': 0.4041, 'grad_norm': 3.026419162750244, 'learning_rate': 3.857913669064748e-06, 'epoch': 9.23} -{'loss': 0.4033, 'grad_norm': 1.494421362876892, 'learning_rate': 3.848920863309353e-06, 'epoch': 9.23} -{'loss': 0.3955, 'grad_norm': 1.6932655572891235, 'learning_rate': 3.839928057553957e-06, 'epoch': 9.23} -{'loss': 0.4021, 'grad_norm': 2.028757095336914, 'learning_rate': 3.830935251798562e-06, 'epoch': 9.24} -{'loss': 0.401, 'grad_norm': 1.439569115638733, 'learning_rate': 3.8219424460431654e-06, 'epoch': 9.24} -{'loss': 0.3991, 'grad_norm': 1.8836970329284668, 'learning_rate': 3.8129496402877697e-06, 'epoch': 9.24} -{'loss': 0.3888, 'grad_norm': 1.5170525312423706, 'learning_rate': 3.803956834532374e-06, 'epoch': 9.24} -{'loss': 0.3961, 'grad_norm': 2.541844606399536, 'learning_rate': 3.7949640287769787e-06, 'epoch': 9.24} -{'loss': 0.391, 'grad_norm': 4.724593162536621, 'learning_rate': 3.785971223021583e-06, 'epoch': 9.24} -{'loss': 0.4107, 'grad_norm': 2.1691243648529053, 'learning_rate': 3.7769784172661873e-06, 'epoch': 9.25} - 93%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5160/5570 [1:22:03<05:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4271887540817261, 'eval_runtime': 1.5221, 'eval_samples_per_second': 473.04, 'eval_steps_per_second': 3.942, 'epoch': 9.25} -{'loss': 0.4044, 'grad_norm': 2.491488456726074, 'learning_rate': 3.7679856115107915e-06, 'epoch': 9.25} -{'loss': 0.3968, 'grad_norm': 2.211143970489502, 'learning_rate': 3.758992805755396e-06, 'epoch': 9.25} -{'loss': 0.4009, 'grad_norm': 0.9805281162261963, 'learning_rate': 3.75e-06, 'epoch': 9.25} -{'loss': 0.4036, 'grad_norm': 2.010756254196167, 'learning_rate': 3.7410071942446044e-06, 'epoch': 9.25} -{'loss': 0.3988, 'grad_norm': 2.5657315254211426, 'learning_rate': 3.7320143884892087e-06, 'epoch': 9.25} -{'loss': 0.3983, 'grad_norm': 1.7242082357406616, 'learning_rate': 3.7230215827338134e-06, 'epoch': 9.26} -{'loss': 0.3994, 'grad_norm': 1.610810399055481, 'learning_rate': 3.7140287769784176e-06, 'epoch': 9.26} -{'loss': 0.4064, 'grad_norm': 3.1381282806396484, 'learning_rate': 3.705035971223022e-06, 'epoch': 9.26} -{'loss': 0.4003, 'grad_norm': 2.3307478427886963, 'learning_rate': 3.696043165467626e-06, 'epoch': 9.26} -{'loss': 0.4027, 'grad_norm': 2.653111457824707, 'learning_rate': 3.6870503597122305e-06, 'epoch': 9.26} - 93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5170/5570 [1:22:12<05:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42749130725860596, 'eval_runtime': 1.5216, 'eval_samples_per_second': 473.181, 'eval_steps_per_second': 3.943, 'epoch': 9.26} -{'loss': 0.4027, 'grad_norm': 2.7774734497070312, 'learning_rate': 3.6780575539568347e-06, 'epoch': 9.27} -{'loss': 0.3915, 'grad_norm': 1.7214452028274536, 'learning_rate': 3.669064748201439e-06, 'epoch': 9.27} -{'loss': 0.4053, 'grad_norm': 2.139547348022461, 'learning_rate': 3.660071942446043e-06, 'epoch': 9.27} -{'loss': 0.3954, 'grad_norm': 1.3270303010940552, 'learning_rate': 3.651079136690648e-06, 'epoch': 9.27} -{'loss': 0.3991, 'grad_norm': 3.0399856567382812, 'learning_rate': 3.6420863309352523e-06, 'epoch': 9.27} -{'loss': 0.4003, 'grad_norm': 1.4914112091064453, 'learning_rate': 3.6330935251798566e-06, 'epoch': 9.27} -{'loss': 0.4027, 'grad_norm': 2.019320487976074, 'learning_rate': 3.624100719424461e-06, 'epoch': 9.28} -{'loss': 0.4024, 'grad_norm': 1.9422240257263184, 'learning_rate': 3.615107913669065e-06, 'epoch': 9.28} -{'loss': 0.3949, 'grad_norm': 2.031585693359375, 'learning_rate': 3.606115107913669e-06, 'epoch': 9.28} -{'loss': 0.3922, 'grad_norm': 2.83670711517334, 'learning_rate': 3.5971223021582732e-06, 'epoch': 9.28} - 93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5180/5570 [1:22:22<05:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4264673888683319, 'eval_runtime': 1.5045, 'eval_samples_per_second': 478.552, 'eval_steps_per_second': 3.988, 'epoch': 9.28} -{'loss': 0.3995, 'grad_norm': 1.9329005479812622, 'learning_rate': 3.5881294964028775e-06, 'epoch': 9.28} -{'loss': 0.3938, 'grad_norm': 1.885527491569519, 'learning_rate': 3.579136690647482e-06, 'epoch': 9.29} -{'loss': 0.3991, 'grad_norm': 1.7557951211929321, 'learning_rate': 3.570143884892087e-06, 'epoch': 9.29} -{'loss': 0.4182, 'grad_norm': 2.007966995239258, 'learning_rate': 3.561151079136691e-06, 'epoch': 9.29} -{'loss': 0.3979, 'grad_norm': 1.5249255895614624, 'learning_rate': 3.552158273381295e-06, 'epoch': 9.29} -{'loss': 0.4066, 'grad_norm': 2.141772747039795, 'learning_rate': 3.5431654676258993e-06, 'epoch': 9.29} -{'loss': 0.3886, 'grad_norm': 1.3300496339797974, 'learning_rate': 3.5341726618705036e-06, 'epoch': 9.29} -{'loss': 0.3972, 'grad_norm': 1.7411677837371826, 'learning_rate': 3.525179856115108e-06, 'epoch': 9.3} -{'loss': 0.3923, 'grad_norm': 2.8541698455810547, 'learning_rate': 3.516187050359712e-06, 'epoch': 9.3} -{'loss': 0.3985, 'grad_norm': 1.9204648733139038, 'learning_rate': 3.5071942446043164e-06, 'epoch': 9.3} - 93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5190/5570 [1:22:31<05:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4266045093536377, 'eval_runtime': 1.5158, 'eval_samples_per_second': 475.01, 'eval_steps_per_second': 3.958, 'epoch': 9.3} -{'loss': 0.4048, 'grad_norm': 1.5399713516235352, 'learning_rate': 3.498201438848921e-06, 'epoch': 9.3} -{'loss': 0.403, 'grad_norm': 2.3023011684417725, 'learning_rate': 3.4892086330935254e-06, 'epoch': 9.3} -{'loss': 0.3939, 'grad_norm': 1.2187267541885376, 'learning_rate': 3.4802158273381297e-06, 'epoch': 9.31} -{'loss': 0.3996, 'grad_norm': 2.1541998386383057, 'learning_rate': 3.471223021582734e-06, 'epoch': 9.31} -{'loss': 0.403, 'grad_norm': 1.163109302520752, 'learning_rate': 3.4622302158273383e-06, 'epoch': 9.31} -{'loss': 0.406, 'grad_norm': 2.1855099201202393, 'learning_rate': 3.4532374100719425e-06, 'epoch': 9.31} -{'loss': 0.3959, 'grad_norm': 2.3531723022460938, 'learning_rate': 3.444244604316547e-06, 'epoch': 9.31} -{'loss': 0.407, 'grad_norm': 1.9588321447372437, 'learning_rate': 3.435251798561151e-06, 'epoch': 9.31} -{'loss': 0.3948, 'grad_norm': 2.786266803741455, 'learning_rate': 3.4262589928057554e-06, 'epoch': 9.32} -{'loss': 0.4012, 'grad_norm': 2.8133394718170166, 'learning_rate': 3.41726618705036e-06, 'epoch': 9.32} - 93%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5200/5570 [1:22:41<05:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42668142914772034, 'eval_runtime': 1.5114, 'eval_samples_per_second': 476.386, 'eval_steps_per_second': 3.97, 'epoch': 9.32} -{'loss': 0.4085, 'grad_norm': 1.6814454793930054, 'learning_rate': 3.4082733812949643e-06, 'epoch': 9.32} -{'loss': 0.3931, 'grad_norm': 3.0435690879821777, 'learning_rate': 3.3992805755395686e-06, 'epoch': 9.32} -{'loss': 0.3952, 'grad_norm': 2.095611333847046, 'learning_rate': 3.390287769784173e-06, 'epoch': 9.32} -{'loss': 0.3893, 'grad_norm': 1.508798599243164, 'learning_rate': 3.381294964028777e-06, 'epoch': 9.32} -{'loss': 0.3998, 'grad_norm': 2.894575834274292, 'learning_rate': 3.3723021582733815e-06, 'epoch': 9.33} -{'loss': 0.3962, 'grad_norm': 1.3374758958816528, 'learning_rate': 3.3633093525179857e-06, 'epoch': 9.33} -{'loss': 0.4043, 'grad_norm': 2.614346981048584, 'learning_rate': 3.3543165467625896e-06, 'epoch': 9.33} -{'loss': 0.4075, 'grad_norm': 2.1752936840057373, 'learning_rate': 3.3453237410071947e-06, 'epoch': 9.33} -{'loss': 0.3995, 'grad_norm': 1.8353934288024902, 'learning_rate': 3.336330935251799e-06, 'epoch': 9.33} -{'loss': 0.3965, 'grad_norm': 1.4014737606048584, 'learning_rate': 3.3273381294964033e-06, 'epoch': 9.34} - 94%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5210/5570 [1:22:50<04:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4261612892150879, 'eval_runtime': 1.5333, 'eval_samples_per_second': 469.575, 'eval_steps_per_second': 3.913, 'epoch': 9.34} -{'loss': 0.4012, 'grad_norm': 1.5947258472442627, 'learning_rate': 3.3183453237410075e-06, 'epoch': 9.34} -{'loss': 0.3983, 'grad_norm': 1.8944368362426758, 'learning_rate': 3.309352517985612e-06, 'epoch': 9.34} -{'loss': 0.4021, 'grad_norm': 1.6135449409484863, 'learning_rate': 3.3003597122302157e-06, 'epoch': 9.34} -{'loss': 0.3934, 'grad_norm': 2.5420656204223633, 'learning_rate': 3.29136690647482e-06, 'epoch': 9.34} -{'loss': 0.3957, 'grad_norm': 1.4375739097595215, 'learning_rate': 3.2823741007194242e-06, 'epoch': 9.34} -{'loss': 0.4026, 'grad_norm': 1.3606396913528442, 'learning_rate': 3.2733812949640294e-06, 'epoch': 9.35} -{'loss': 0.3992, 'grad_norm': 1.974082589149475, 'learning_rate': 3.2643884892086336e-06, 'epoch': 9.35} -{'loss': 0.3963, 'grad_norm': 1.2858542203903198, 'learning_rate': 3.255395683453238e-06, 'epoch': 9.35} -{'loss': 0.4004, 'grad_norm': 1.4081717729568481, 'learning_rate': 3.2464028776978418e-06, 'epoch': 9.35} -{'loss': 0.3973, 'grad_norm': 1.5401201248168945, 'learning_rate': 3.237410071942446e-06, 'epoch': 9.35} - 94%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5220/5570 [1:23:00<04:45, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4258045256137848, 'eval_runtime': 1.5125, 'eval_samples_per_second': 476.045, 'eval_steps_per_second': 3.967, 'epoch': 9.35} -{'loss': 0.3931, 'grad_norm': 1.6703565120697021, 'learning_rate': 3.2284172661870503e-06, 'epoch': 9.36} -{'loss': 0.4032, 'grad_norm': 3.3027186393737793, 'learning_rate': 3.2194244604316546e-06, 'epoch': 9.36} -{'loss': 0.411, 'grad_norm': 1.6043599843978882, 'learning_rate': 3.210431654676259e-06, 'epoch': 9.36} -{'loss': 0.3962, 'grad_norm': 1.9763914346694946, 'learning_rate': 3.201438848920863e-06, 'epoch': 9.36} -{'loss': 0.382, 'grad_norm': 1.4412137269973755, 'learning_rate': 3.192446043165468e-06, 'epoch': 9.36} -{'loss': 0.3972, 'grad_norm': 2.0094926357269287, 'learning_rate': 3.183453237410072e-06, 'epoch': 9.36} -{'loss': 0.4037, 'grad_norm': 1.4001851081848145, 'learning_rate': 3.1744604316546764e-06, 'epoch': 9.37} -{'loss': 0.3902, 'grad_norm': 1.5670952796936035, 'learning_rate': 3.1654676258992807e-06, 'epoch': 9.37} -{'loss': 0.396, 'grad_norm': 2.3010640144348145, 'learning_rate': 3.156474820143885e-06, 'epoch': 9.37} -{'loss': 0.3889, 'grad_norm': 1.9618453979492188, 'learning_rate': 3.1474820143884892e-06, 'epoch': 9.37} - 94%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5230/5570 [1:23:09<04:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42661112546920776, 'eval_runtime': 1.5205, 'eval_samples_per_second': 473.53, 'eval_steps_per_second': 3.946, 'epoch': 9.37} -{'loss': 0.3995, 'grad_norm': 2.4867870807647705, 'learning_rate': 3.1384892086330935e-06, 'epoch': 9.37} -{'loss': 0.3973, 'grad_norm': 2.862727403640747, 'learning_rate': 3.129496402877698e-06, 'epoch': 9.38} -{'loss': 0.3984, 'grad_norm': 1.8064613342285156, 'learning_rate': 3.120503597122302e-06, 'epoch': 9.38} -{'loss': 0.3983, 'grad_norm': 2.46989369392395, 'learning_rate': 3.1115107913669064e-06, 'epoch': 9.38} -{'loss': 0.3963, 'grad_norm': 2.3215956687927246, 'learning_rate': 3.102517985611511e-06, 'epoch': 9.38} -{'loss': 0.3929, 'grad_norm': 1.6724278926849365, 'learning_rate': 3.0935251798561153e-06, 'epoch': 9.38} -{'loss': 0.3998, 'grad_norm': 3.5641822814941406, 'learning_rate': 3.0845323741007196e-06, 'epoch': 9.38} -{'loss': 0.4078, 'grad_norm': 1.4636611938476562, 'learning_rate': 3.075539568345324e-06, 'epoch': 9.39} -{'loss': 0.3964, 'grad_norm': 1.4724432229995728, 'learning_rate': 3.066546762589928e-06, 'epoch': 9.39} -{'loss': 0.4064, 'grad_norm': 3.379230499267578, 'learning_rate': 3.0575539568345324e-06, 'epoch': 9.39} - 94%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5240/5570 [1:23:19<04:32, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4262300133705139, 'eval_runtime': 1.5522, 'eval_samples_per_second': 463.863, 'eval_steps_per_second': 3.866, 'epoch': 9.39} -{'loss': 0.4055, 'grad_norm': 3.102088689804077, 'learning_rate': 3.0485611510791367e-06, 'epoch': 9.39} -{'loss': 0.3994, 'grad_norm': 2.277617931365967, 'learning_rate': 3.039568345323741e-06, 'epoch': 9.39} -{'loss': 0.3957, 'grad_norm': 1.2038402557373047, 'learning_rate': 3.0305755395683457e-06, 'epoch': 9.39} -{'loss': 0.4013, 'grad_norm': 1.3311012983322144, 'learning_rate': 3.02158273381295e-06, 'epoch': 9.4} -{'loss': 0.4092, 'grad_norm': 1.642801284790039, 'learning_rate': 3.0125899280575543e-06, 'epoch': 9.4} -{'loss': 0.3979, 'grad_norm': 1.832956075668335, 'learning_rate': 3.0035971223021585e-06, 'epoch': 9.4} -{'loss': 0.3879, 'grad_norm': 1.7985635995864868, 'learning_rate': 2.9946043165467624e-06, 'epoch': 9.4} -{'loss': 0.3974, 'grad_norm': 3.413666248321533, 'learning_rate': 2.985611510791367e-06, 'epoch': 9.4} -{'loss': 0.4021, 'grad_norm': 1.3231184482574463, 'learning_rate': 2.9766187050359714e-06, 'epoch': 9.41} -{'loss': 0.3895, 'grad_norm': 1.6626147031784058, 'learning_rate': 2.9676258992805756e-06, 'epoch': 9.41} - 94%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5250/5570 [1:23:29<04:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4269839823246002, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.884, 'eval_steps_per_second': 3.916, 'epoch': 9.41} -{'loss': 0.4066, 'grad_norm': 2.7660961151123047, 'learning_rate': 2.95863309352518e-06, 'epoch': 9.41} -{'loss': 0.396, 'grad_norm': 1.7711541652679443, 'learning_rate': 2.9496402877697846e-06, 'epoch': 9.41} -{'loss': 0.3985, 'grad_norm': 1.4539680480957031, 'learning_rate': 2.9406474820143885e-06, 'epoch': 9.41} -{'loss': 0.4044, 'grad_norm': 1.9941377639770508, 'learning_rate': 2.9316546762589928e-06, 'epoch': 9.41} -{'loss': 0.4016, 'grad_norm': 1.5526784658432007, 'learning_rate': 2.922661870503597e-06, 'epoch': 9.42} -{'loss': 0.4147, 'grad_norm': 1.8277263641357422, 'learning_rate': 2.9136690647482017e-06, 'epoch': 9.42} -{'loss': 0.3989, 'grad_norm': 2.1569628715515137, 'learning_rate': 2.904676258992806e-06, 'epoch': 9.42} -{'loss': 0.3979, 'grad_norm': 1.7208304405212402, 'learning_rate': 2.8956834532374103e-06, 'epoch': 9.42} -{'loss': 0.3959, 'grad_norm': 1.1377233266830444, 'learning_rate': 2.8866906474820146e-06, 'epoch': 9.42} -{'loss': 0.4011, 'grad_norm': 1.4991133213043213, 'learning_rate': 2.877697841726619e-06, 'epoch': 9.43} - 94%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5260/5570 [1:23:38<04:09, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42582863569259644, 'eval_runtime': 1.5475, 'eval_samples_per_second': 465.259, 'eval_steps_per_second': 3.877, 'epoch': 9.43} -{'loss': 0.4001, 'grad_norm': 3.077084541320801, 'learning_rate': 2.868705035971223e-06, 'epoch': 9.43} -{'loss': 0.4061, 'grad_norm': 1.724716067314148, 'learning_rate': 2.8597122302158274e-06, 'epoch': 9.43} -{'loss': 0.3998, 'grad_norm': 1.8813997507095337, 'learning_rate': 2.8507194244604317e-06, 'epoch': 9.43} -{'loss': 0.4002, 'grad_norm': 3.369370222091675, 'learning_rate': 2.8417266187050364e-06, 'epoch': 9.43} -{'loss': 0.3959, 'grad_norm': 1.3292373418807983, 'learning_rate': 2.8327338129496407e-06, 'epoch': 9.43} -{'loss': 0.403, 'grad_norm': 1.6117143630981445, 'learning_rate': 2.823741007194245e-06, 'epoch': 9.44} -{'loss': 0.4072, 'grad_norm': 1.8639992475509644, 'learning_rate': 2.814748201438849e-06, 'epoch': 9.44} -{'loss': 0.3997, 'grad_norm': 1.951824426651001, 'learning_rate': 2.805755395683453e-06, 'epoch': 9.44} -{'loss': 0.4021, 'grad_norm': 1.618317723274231, 'learning_rate': 2.7967625899280578e-06, 'epoch': 9.44} -{'loss': 0.3901, 'grad_norm': 1.7326912879943848, 'learning_rate': 2.787769784172662e-06, 'epoch': 9.44} - 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5270/5570 [1:23:48<04:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42574530839920044, 'eval_runtime': 1.5429, 'eval_samples_per_second': 466.668, 'eval_steps_per_second': 3.889, 'epoch': 9.44} -{'loss': 0.3979, 'grad_norm': 2.1158483028411865, 'learning_rate': 2.7787769784172663e-06, 'epoch': 9.45} -{'loss': 0.3987, 'grad_norm': 1.5755488872528076, 'learning_rate': 2.7697841726618706e-06, 'epoch': 9.45} -{'loss': 0.3976, 'grad_norm': 2.453195095062256, 'learning_rate': 2.760791366906475e-06, 'epoch': 9.45} -{'loss': 0.3925, 'grad_norm': 1.6501293182373047, 'learning_rate': 2.751798561151079e-06, 'epoch': 9.45} -{'loss': 0.4083, 'grad_norm': 2.0345613956451416, 'learning_rate': 2.7428057553956834e-06, 'epoch': 9.45} -{'loss': 0.3957, 'grad_norm': 1.8445857763290405, 'learning_rate': 2.7338129496402877e-06, 'epoch': 9.45} -{'loss': 0.3983, 'grad_norm': 2.4785640239715576, 'learning_rate': 2.7248201438848924e-06, 'epoch': 9.46} -{'loss': 0.4133, 'grad_norm': 1.9624431133270264, 'learning_rate': 2.7158273381294967e-06, 'epoch': 9.46} -{'loss': 0.403, 'grad_norm': 1.5877282619476318, 'learning_rate': 2.706834532374101e-06, 'epoch': 9.46} -{'loss': 0.4079, 'grad_norm': 1.986711859703064, 'learning_rate': 2.6978417266187052e-06, 'epoch': 9.46} - 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5280/5570 [1:23:57<03:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42524465918540955, 'eval_runtime': 1.5417, 'eval_samples_per_second': 467.005, 'eval_steps_per_second': 3.892, 'epoch': 9.46} -{'loss': 0.3966, 'grad_norm': 1.4782394170761108, 'learning_rate': 2.6888489208633095e-06, 'epoch': 9.46} -{'loss': 0.3887, 'grad_norm': 1.4355981349945068, 'learning_rate': 2.679856115107914e-06, 'epoch': 9.46} -{'loss': 0.4058, 'grad_norm': 1.4782341718673706, 'learning_rate': 2.670863309352518e-06, 'epoch': 9.47} -{'loss': 0.4053, 'grad_norm': 1.811954140663147, 'learning_rate': 2.6618705035971224e-06, 'epoch': 9.47} -{'loss': 0.4027, 'grad_norm': 1.9840282201766968, 'learning_rate': 2.652877697841727e-06, 'epoch': 9.47} -{'loss': 0.3951, 'grad_norm': 1.3577018976211548, 'learning_rate': 2.6438848920863313e-06, 'epoch': 9.47} -{'loss': 0.4045, 'grad_norm': 1.3375258445739746, 'learning_rate': 2.634892086330935e-06, 'epoch': 9.47} -{'loss': 0.4145, 'grad_norm': 1.5948046445846558, 'learning_rate': 2.6258992805755395e-06, 'epoch': 9.48} -{'loss': 0.4111, 'grad_norm': 2.7961647510528564, 'learning_rate': 2.6169064748201437e-06, 'epoch': 9.48} -{'loss': 0.4017, 'grad_norm': 1.8353618383407593, 'learning_rate': 2.6079136690647484e-06, 'epoch': 9.48} - 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5290/5570 [1:24:07<03:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4258425533771515, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.715, 'eval_steps_per_second': 3.939, 'epoch': 9.48} -{'loss': 0.3958, 'grad_norm': 2.0928571224212646, 'learning_rate': 2.5989208633093527e-06, 'epoch': 9.48} -{'loss': 0.3904, 'grad_norm': 3.717043161392212, 'learning_rate': 2.589928057553957e-06, 'epoch': 9.48} -{'loss': 0.3957, 'grad_norm': 2.440772771835327, 'learning_rate': 2.5809352517985613e-06, 'epoch': 9.48} -{'loss': 0.3944, 'grad_norm': 1.411932349205017, 'learning_rate': 2.5719424460431656e-06, 'epoch': 9.49} -{'loss': 0.3922, 'grad_norm': 1.2812070846557617, 'learning_rate': 2.56294964028777e-06, 'epoch': 9.49} -{'loss': 0.3961, 'grad_norm': 2.1142516136169434, 'learning_rate': 2.553956834532374e-06, 'epoch': 9.49} -{'loss': 0.403, 'grad_norm': 2.824801206588745, 'learning_rate': 2.5449640287769784e-06, 'epoch': 9.49} -{'loss': 0.4001, 'grad_norm': 1.8795045614242554, 'learning_rate': 2.535971223021583e-06, 'epoch': 9.49} -{'loss': 0.3886, 'grad_norm': 1.4759576320648193, 'learning_rate': 2.5269784172661874e-06, 'epoch': 9.5} -{'loss': 0.4004, 'grad_norm': 2.9673380851745605, 'learning_rate': 2.5179856115107916e-06, 'epoch': 9.5} - 95%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5300/5570 [1:24:16<03:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42661362886428833, 'eval_runtime': 1.5206, 'eval_samples_per_second': 473.482, 'eval_steps_per_second': 3.946, 'epoch': 9.5} -{'loss': 0.3992, 'grad_norm': 2.3453824520111084, 'learning_rate': 2.5089928057553955e-06, 'epoch': 9.5} -{'loss': 0.3955, 'grad_norm': 1.2825343608856201, 'learning_rate': 2.5e-06, 'epoch': 9.5} -{'loss': 0.4041, 'grad_norm': 1.2002780437469482, 'learning_rate': 2.4910071942446045e-06, 'epoch': 9.5} -{'loss': 0.4055, 'grad_norm': 2.6843531131744385, 'learning_rate': 2.4820143884892088e-06, 'epoch': 9.5} -{'loss': 0.3996, 'grad_norm': 2.6333816051483154, 'learning_rate': 2.473021582733813e-06, 'epoch': 9.51} -{'loss': 0.4015, 'grad_norm': 4.541311740875244, 'learning_rate': 2.4640287769784177e-06, 'epoch': 9.51} -{'loss': 0.4108, 'grad_norm': 3.5092995166778564, 'learning_rate': 2.4550359712230216e-06, 'epoch': 9.51} -{'loss': 0.4041, 'grad_norm': 1.437854528427124, 'learning_rate': 2.446043165467626e-06, 'epoch': 9.51} -{'loss': 0.395, 'grad_norm': 1.3827334642410278, 'learning_rate': 2.43705035971223e-06, 'epoch': 9.51} -{'loss': 0.4097, 'grad_norm': 1.2907097339630127, 'learning_rate': 2.428057553956835e-06, 'epoch': 9.52} - 95%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5310/5570 [1:24:26<03:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4265788495540619, 'eval_runtime': 1.5194, 'eval_samples_per_second': 473.866, 'eval_steps_per_second': 3.949, 'epoch': 9.52} -{'loss': 0.4023, 'grad_norm': 1.6775950193405151, 'learning_rate': 2.419064748201439e-06, 'epoch': 9.52} -{'loss': 0.3932, 'grad_norm': 2.449230194091797, 'learning_rate': 2.4100719424460434e-06, 'epoch': 9.52} -{'loss': 0.4013, 'grad_norm': 2.9370129108428955, 'learning_rate': 2.4010791366906477e-06, 'epoch': 9.52} -{'loss': 0.4021, 'grad_norm': 1.749914288520813, 'learning_rate': 2.392086330935252e-06, 'epoch': 9.52} -{'loss': 0.3906, 'grad_norm': 2.171656847000122, 'learning_rate': 2.3830935251798562e-06, 'epoch': 9.52} -{'loss': 0.4222, 'grad_norm': 1.4076412916183472, 'learning_rate': 2.3741007194244605e-06, 'epoch': 9.53} -{'loss': 0.3964, 'grad_norm': 2.110349416732788, 'learning_rate': 2.365107913669065e-06, 'epoch': 9.53} -{'loss': 0.4054, 'grad_norm': 2.6190507411956787, 'learning_rate': 2.356115107913669e-06, 'epoch': 9.53} -{'loss': 0.4011, 'grad_norm': 3.257089614868164, 'learning_rate': 2.3471223021582738e-06, 'epoch': 9.53} -{'loss': 0.4035, 'grad_norm': 3.374647378921509, 'learning_rate': 2.338129496402878e-06, 'epoch': 9.53} - 96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5320/5570 [1:24:35<03:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4258640706539154, 'eval_runtime': 1.5297, 'eval_samples_per_second': 470.673, 'eval_steps_per_second': 3.922, 'epoch': 9.53} -{'loss': 0.3985, 'grad_norm': 1.7054603099822998, 'learning_rate': 2.329136690647482e-06, 'epoch': 9.54} -{'loss': 0.4019, 'grad_norm': 1.9451804161071777, 'learning_rate': 2.320143884892086e-06, 'epoch': 9.54} -{'loss': 0.3942, 'grad_norm': 2.070131778717041, 'learning_rate': 2.311151079136691e-06, 'epoch': 9.54} -{'loss': 0.3982, 'grad_norm': 2.5836548805236816, 'learning_rate': 2.302158273381295e-06, 'epoch': 9.54} -{'loss': 0.4017, 'grad_norm': 2.167368173599243, 'learning_rate': 2.2931654676258994e-06, 'epoch': 9.54} -{'loss': 0.4016, 'grad_norm': 1.4217649698257446, 'learning_rate': 2.2841726618705037e-06, 'epoch': 9.54} -{'loss': 0.3971, 'grad_norm': 1.4607975482940674, 'learning_rate': 2.275179856115108e-06, 'epoch': 9.55} -{'loss': 0.3911, 'grad_norm': 1.1846067905426025, 'learning_rate': 2.2661870503597123e-06, 'epoch': 9.55} -{'loss': 0.4048, 'grad_norm': 2.092907667160034, 'learning_rate': 2.2571942446043166e-06, 'epoch': 9.55} -{'loss': 0.4033, 'grad_norm': 2.17752742767334, 'learning_rate': 2.248201438848921e-06, 'epoch': 9.55} - 96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5330/5570 [1:24:45<03:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4259454607963562, 'eval_runtime': 1.5236, 'eval_samples_per_second': 472.557, 'eval_steps_per_second': 3.938, 'epoch': 9.55} -{'loss': 0.4017, 'grad_norm': 3.7960431575775146, 'learning_rate': 2.2392086330935255e-06, 'epoch': 9.55} -{'loss': 0.3977, 'grad_norm': 2.870699882507324, 'learning_rate': 2.23021582733813e-06, 'epoch': 9.55} -{'loss': 0.4024, 'grad_norm': 1.324173092842102, 'learning_rate': 2.221223021582734e-06, 'epoch': 9.56} -{'loss': 0.408, 'grad_norm': 1.1100709438323975, 'learning_rate': 2.2122302158273384e-06, 'epoch': 9.56} -{'loss': 0.3934, 'grad_norm': 1.6612492799758911, 'learning_rate': 2.2032374100719422e-06, 'epoch': 9.56} -{'loss': 0.4003, 'grad_norm': 1.9129019975662231, 'learning_rate': 2.194244604316547e-06, 'epoch': 9.56} -{'loss': 0.3965, 'grad_norm': 1.5037786960601807, 'learning_rate': 2.185251798561151e-06, 'epoch': 9.56} -{'loss': 0.3849, 'grad_norm': 1.2888246774673462, 'learning_rate': 2.1762589928057555e-06, 'epoch': 9.57} -{'loss': 0.3884, 'grad_norm': 1.3523529767990112, 'learning_rate': 2.1672661870503598e-06, 'epoch': 9.57} -{'loss': 0.4049, 'grad_norm': 1.119598150253296, 'learning_rate': 2.1582733812949645e-06, 'epoch': 9.57} - 96%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5340/5570 [1:24:54<03:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4250697195529938, 'eval_runtime': 1.5212, 'eval_samples_per_second': 473.319, 'eval_steps_per_second': 3.944, 'epoch': 9.57} -{'loss': 0.3998, 'grad_norm': 2.5734879970550537, 'learning_rate': 2.1492805755395683e-06, 'epoch': 9.57} -{'loss': 0.4014, 'grad_norm': 1.8342434167861938, 'learning_rate': 2.1402877697841726e-06, 'epoch': 9.57} -{'loss': 0.3991, 'grad_norm': 1.1122314929962158, 'learning_rate': 2.131294964028777e-06, 'epoch': 9.57} -{'loss': 0.4014, 'grad_norm': 1.4610822200775146, 'learning_rate': 2.1223021582733816e-06, 'epoch': 9.58} -{'loss': 0.3881, 'grad_norm': 1.246546983718872, 'learning_rate': 2.113309352517986e-06, 'epoch': 9.58} -{'loss': 0.3938, 'grad_norm': 1.1069281101226807, 'learning_rate': 2.10431654676259e-06, 'epoch': 9.58} -{'loss': 0.4019, 'grad_norm': 1.749070167541504, 'learning_rate': 2.0953237410071944e-06, 'epoch': 9.58} -{'loss': 0.3874, 'grad_norm': 1.9202502965927124, 'learning_rate': 2.0863309352517987e-06, 'epoch': 9.58} -{'loss': 0.3913, 'grad_norm': 1.8213605880737305, 'learning_rate': 2.077338129496403e-06, 'epoch': 9.59} -{'loss': 0.4027, 'grad_norm': 2.2680306434631348, 'learning_rate': 2.0683453237410072e-06, 'epoch': 9.59} - 96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5350/5570 [1:25:04<02:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4262317717075348, 'eval_runtime': 1.523, 'eval_samples_per_second': 472.766, 'eval_steps_per_second': 3.94, 'epoch': 9.59} -{'loss': 0.4054, 'grad_norm': 3.057386636734009, 'learning_rate': 2.0593525179856115e-06, 'epoch': 9.59} -{'loss': 0.3932, 'grad_norm': 1.9088960886001587, 'learning_rate': 2.050359712230216e-06, 'epoch': 9.59} -{'loss': 0.3931, 'grad_norm': 1.6947271823883057, 'learning_rate': 2.0413669064748205e-06, 'epoch': 9.59} -{'loss': 0.4043, 'grad_norm': 2.374440908432007, 'learning_rate': 2.0323741007194243e-06, 'epoch': 9.59} -{'loss': 0.4019, 'grad_norm': 2.6828527450561523, 'learning_rate': 2.0233812949640286e-06, 'epoch': 9.6} -{'loss': 0.3863, 'grad_norm': 1.743033766746521, 'learning_rate': 2.014388489208633e-06, 'epoch': 9.6} -{'loss': 0.3975, 'grad_norm': 2.7734739780426025, 'learning_rate': 2.0053956834532376e-06, 'epoch': 9.6} -{'loss': 0.4085, 'grad_norm': 1.7189897298812866, 'learning_rate': 1.996402877697842e-06, 'epoch': 9.6} -{'loss': 0.4073, 'grad_norm': 2.6841988563537598, 'learning_rate': 1.987410071942446e-06, 'epoch': 9.6} -{'loss': 0.3894, 'grad_norm': 1.5660274028778076, 'learning_rate': 1.9784172661870504e-06, 'epoch': 9.61} - 96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5360/5570 [1:25:13<02:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42566871643066406, 'eval_runtime': 1.5217, 'eval_samples_per_second': 473.17, 'eval_steps_per_second': 3.943, 'epoch': 9.61} -{'loss': 0.4012, 'grad_norm': 2.0844175815582275, 'learning_rate': 1.9694244604316547e-06, 'epoch': 9.61} -{'loss': 0.3911, 'grad_norm': 1.7810873985290527, 'learning_rate': 1.960431654676259e-06, 'epoch': 9.61} -{'loss': 0.4007, 'grad_norm': 2.824213743209839, 'learning_rate': 1.9514388489208633e-06, 'epoch': 9.61} -{'loss': 0.4011, 'grad_norm': 2.6799559593200684, 'learning_rate': 1.9424460431654675e-06, 'epoch': 9.61} -{'loss': 0.3954, 'grad_norm': 1.6670589447021484, 'learning_rate': 1.9334532374100722e-06, 'epoch': 9.61} -{'loss': 0.3923, 'grad_norm': 2.144674777984619, 'learning_rate': 1.9244604316546765e-06, 'epoch': 9.62} -{'loss': 0.3975, 'grad_norm': 1.6514253616333008, 'learning_rate': 1.915467625899281e-06, 'epoch': 9.62} -{'loss': 0.4052, 'grad_norm': 2.7631516456604004, 'learning_rate': 1.9064748201438849e-06, 'epoch': 9.62} -{'loss': 0.3983, 'grad_norm': 1.6629573106765747, 'learning_rate': 1.8974820143884894e-06, 'epoch': 9.62} -{'loss': 0.408, 'grad_norm': 3.24707293510437, 'learning_rate': 1.8884892086330936e-06, 'epoch': 9.62} - 96%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5370/5570 [1:25:23<02:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4257720112800598, 'eval_runtime': 1.5105, 'eval_samples_per_second': 476.652, 'eval_steps_per_second': 3.972, 'epoch': 9.62} -{'loss': 0.3922, 'grad_norm': 2.5751140117645264, 'learning_rate': 1.879496402877698e-06, 'epoch': 9.62} -{'loss': 0.4011, 'grad_norm': 2.3075320720672607, 'learning_rate': 1.8705035971223022e-06, 'epoch': 9.63} -{'loss': 0.4012, 'grad_norm': 2.651749610900879, 'learning_rate': 1.8615107913669067e-06, 'epoch': 9.63} -{'loss': 0.3972, 'grad_norm': 2.0163309574127197, 'learning_rate': 1.852517985611511e-06, 'epoch': 9.63} -{'loss': 0.4015, 'grad_norm': 2.1663331985473633, 'learning_rate': 1.8435251798561152e-06, 'epoch': 9.63} -{'loss': 0.3937, 'grad_norm': 1.7429380416870117, 'learning_rate': 1.8345323741007195e-06, 'epoch': 9.63} -{'loss': 0.4024, 'grad_norm': 1.3826171159744263, 'learning_rate': 1.825539568345324e-06, 'epoch': 9.64} -{'loss': 0.4026, 'grad_norm': 2.445578098297119, 'learning_rate': 1.8165467625899283e-06, 'epoch': 9.64} -{'loss': 0.4033, 'grad_norm': 2.196404457092285, 'learning_rate': 1.8075539568345326e-06, 'epoch': 9.64} -{'loss': 0.4026, 'grad_norm': 1.7232376337051392, 'learning_rate': 1.7985611510791366e-06, 'epoch': 9.64} - 97%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5380/5570 [1:25:32<02:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4255833923816681, 'eval_runtime': 1.519, 'eval_samples_per_second': 473.989, 'eval_steps_per_second': 3.95, 'epoch': 9.64} -{'loss': 0.4039, 'grad_norm': 2.346543312072754, 'learning_rate': 1.789568345323741e-06, 'epoch': 9.64} -{'loss': 0.3934, 'grad_norm': 1.2153376340866089, 'learning_rate': 1.7805755395683456e-06, 'epoch': 9.64} -{'loss': 0.4048, 'grad_norm': 2.1644811630249023, 'learning_rate': 1.7715827338129497e-06, 'epoch': 9.65} -{'loss': 0.392, 'grad_norm': 2.265183448791504, 'learning_rate': 1.762589928057554e-06, 'epoch': 9.65} -{'loss': 0.3964, 'grad_norm': 1.9923486709594727, 'learning_rate': 1.7535971223021582e-06, 'epoch': 9.65} -{'loss': 0.4056, 'grad_norm': 2.4508323669433594, 'learning_rate': 1.7446043165467627e-06, 'epoch': 9.65} -{'loss': 0.3858, 'grad_norm': 1.204859972000122, 'learning_rate': 1.735611510791367e-06, 'epoch': 9.65} -{'loss': 0.3904, 'grad_norm': 1.887675404548645, 'learning_rate': 1.7266187050359713e-06, 'epoch': 9.66} -{'loss': 0.4037, 'grad_norm': 1.2437316179275513, 'learning_rate': 1.7176258992805755e-06, 'epoch': 9.66} -{'loss': 0.3994, 'grad_norm': 2.322418212890625, 'learning_rate': 1.70863309352518e-06, 'epoch': 9.66} - 97%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5390/5570 [1:25:42<02:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4254536032676697, 'eval_runtime': 1.5168, 'eval_samples_per_second': 474.69, 'eval_steps_per_second': 3.956, 'epoch': 9.66} -{'loss': 0.3952, 'grad_norm': 1.5641117095947266, 'learning_rate': 1.6996402877697843e-06, 'epoch': 9.66} -{'loss': 0.4017, 'grad_norm': 1.7953135967254639, 'learning_rate': 1.6906474820143886e-06, 'epoch': 9.66} -{'loss': 0.407, 'grad_norm': 2.135040521621704, 'learning_rate': 1.6816546762589929e-06, 'epoch': 9.66} -{'loss': 0.4036, 'grad_norm': 1.7521849870681763, 'learning_rate': 1.6726618705035974e-06, 'epoch': 9.67} -{'loss': 0.3979, 'grad_norm': 1.4098811149597168, 'learning_rate': 1.6636690647482016e-06, 'epoch': 9.67} -{'loss': 0.3977, 'grad_norm': 2.1385066509246826, 'learning_rate': 1.654676258992806e-06, 'epoch': 9.67} -{'loss': 0.4043, 'grad_norm': 1.2726880311965942, 'learning_rate': 1.64568345323741e-06, 'epoch': 9.67} -{'loss': 0.4, 'grad_norm': 1.723150372505188, 'learning_rate': 1.6366906474820147e-06, 'epoch': 9.67} -{'loss': 0.3963, 'grad_norm': 1.813825249671936, 'learning_rate': 1.627697841726619e-06, 'epoch': 9.68} -{'loss': 0.4099, 'grad_norm': 1.2626861333847046, 'learning_rate': 1.618705035971223e-06, 'epoch': 9.68} - 97%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5400/5570 [1:25:52<02:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4253433644771576, 'eval_runtime': 1.5253, 'eval_samples_per_second': 472.04, 'eval_steps_per_second': 3.934, 'epoch': 9.68} -{'loss': 0.4063, 'grad_norm': 1.5131675004959106, 'learning_rate': 1.6097122302158273e-06, 'epoch': 9.68} -{'loss': 0.4015, 'grad_norm': 1.951910376548767, 'learning_rate': 1.6007194244604316e-06, 'epoch': 9.68} -{'loss': 0.3955, 'grad_norm': 1.6242756843566895, 'learning_rate': 1.591726618705036e-06, 'epoch': 9.68} -{'loss': 0.4013, 'grad_norm': 1.373658299446106, 'learning_rate': 1.5827338129496403e-06, 'epoch': 9.68} -{'loss': 0.4108, 'grad_norm': 1.4942175149917603, 'learning_rate': 1.5737410071942446e-06, 'epoch': 9.69} -{'loss': 0.4068, 'grad_norm': 1.626900315284729, 'learning_rate': 1.564748201438849e-06, 'epoch': 9.69} -{'loss': 0.4094, 'grad_norm': 1.934220790863037, 'learning_rate': 1.5557553956834532e-06, 'epoch': 9.69} -{'loss': 0.4047, 'grad_norm': 1.7685223817825317, 'learning_rate': 1.5467625899280577e-06, 'epoch': 9.69} -{'loss': 0.3991, 'grad_norm': 1.1988083124160767, 'learning_rate': 1.537769784172662e-06, 'epoch': 9.69} -{'loss': 0.4012, 'grad_norm': 1.376165509223938, 'learning_rate': 1.5287769784172662e-06, 'epoch': 9.69} - 97%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5410/5570 [1:26:01<02:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42574530839920044, 'eval_runtime': 1.5126, 'eval_samples_per_second': 475.999, 'eval_steps_per_second': 3.967, 'epoch': 9.69} -{'loss': 0.399, 'grad_norm': 2.5471792221069336, 'learning_rate': 1.5197841726618705e-06, 'epoch': 9.7} -{'loss': 0.4105, 'grad_norm': 3.30104398727417, 'learning_rate': 1.510791366906475e-06, 'epoch': 9.7} -{'loss': 0.4004, 'grad_norm': 2.137098550796509, 'learning_rate': 1.5017985611510793e-06, 'epoch': 9.7} -{'loss': 0.3949, 'grad_norm': 2.9219233989715576, 'learning_rate': 1.4928057553956835e-06, 'epoch': 9.7} -{'loss': 0.4022, 'grad_norm': 2.3382747173309326, 'learning_rate': 1.4838129496402878e-06, 'epoch': 9.7} -{'loss': 0.3909, 'grad_norm': 1.9723749160766602, 'learning_rate': 1.4748201438848923e-06, 'epoch': 9.71} -{'loss': 0.3969, 'grad_norm': 1.499305009841919, 'learning_rate': 1.4658273381294964e-06, 'epoch': 9.71} -{'loss': 0.4021, 'grad_norm': 1.6981637477874756, 'learning_rate': 1.4568345323741009e-06, 'epoch': 9.71} -{'loss': 0.3941, 'grad_norm': 2.4498884677886963, 'learning_rate': 1.4478417266187051e-06, 'epoch': 9.71} -{'loss': 0.4019, 'grad_norm': 1.7551312446594238, 'learning_rate': 1.4388489208633094e-06, 'epoch': 9.71} - 97%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5420/5570 [1:26:11<02:01, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4259309470653534, 'eval_runtime': 1.5319, 'eval_samples_per_second': 470.012, 'eval_steps_per_second': 3.917, 'epoch': 9.71} -{'loss': 0.4006, 'grad_norm': 2.4443016052246094, 'learning_rate': 1.4298561151079137e-06, 'epoch': 9.71} -{'loss': 0.4032, 'grad_norm': 1.424757480621338, 'learning_rate': 1.4208633093525182e-06, 'epoch': 9.72} -{'loss': 0.3941, 'grad_norm': 1.4241411685943604, 'learning_rate': 1.4118705035971225e-06, 'epoch': 9.72} -{'loss': 0.3937, 'grad_norm': 1.4085712432861328, 'learning_rate': 1.4028776978417265e-06, 'epoch': 9.72} -{'loss': 0.4043, 'grad_norm': 1.8079628944396973, 'learning_rate': 1.393884892086331e-06, 'epoch': 9.72} -{'loss': 0.3903, 'grad_norm': 2.1050140857696533, 'learning_rate': 1.3848920863309353e-06, 'epoch': 9.72} -{'loss': 0.3959, 'grad_norm': 1.9142566919326782, 'learning_rate': 1.3758992805755396e-06, 'epoch': 9.73} -{'loss': 0.4003, 'grad_norm': 2.0990374088287354, 'learning_rate': 1.3669064748201439e-06, 'epoch': 9.73} -{'loss': 0.406, 'grad_norm': 2.676445960998535, 'learning_rate': 1.3579136690647483e-06, 'epoch': 9.73} -{'loss': 0.399, 'grad_norm': 2.637085437774658, 'learning_rate': 1.3489208633093526e-06, 'epoch': 9.73} - 97%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5430/5570 [1:26:20<01:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4252174496650696, 'eval_runtime': 1.5124, 'eval_samples_per_second': 476.064, 'eval_steps_per_second': 3.967, 'epoch': 9.73} -{'loss': 0.3898, 'grad_norm': 1.5828776359558105, 'learning_rate': 1.339928057553957e-06, 'epoch': 9.73} -{'loss': 0.3998, 'grad_norm': 1.7852413654327393, 'learning_rate': 1.3309352517985612e-06, 'epoch': 9.73} -{'loss': 0.4032, 'grad_norm': 1.3965319395065308, 'learning_rate': 1.3219424460431657e-06, 'epoch': 9.74} -{'loss': 0.3951, 'grad_norm': 2.3361904621124268, 'learning_rate': 1.3129496402877697e-06, 'epoch': 9.74} -{'loss': 0.402, 'grad_norm': 1.4904998540878296, 'learning_rate': 1.3039568345323742e-06, 'epoch': 9.74} -{'loss': 0.4011, 'grad_norm': 2.4716460704803467, 'learning_rate': 1.2949640287769785e-06, 'epoch': 9.74} -{'loss': 0.4059, 'grad_norm': 1.4141128063201904, 'learning_rate': 1.2859712230215828e-06, 'epoch': 9.74} -{'loss': 0.4002, 'grad_norm': 1.2811287641525269, 'learning_rate': 1.276978417266187e-06, 'epoch': 9.75} -{'loss': 0.4087, 'grad_norm': 1.8500086069107056, 'learning_rate': 1.2679856115107915e-06, 'epoch': 9.75} -{'loss': 0.3817, 'grad_norm': 1.6092246770858765, 'learning_rate': 1.2589928057553958e-06, 'epoch': 9.75} - 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5440/5570 [1:26:30<01:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42460113763809204, 'eval_runtime': 1.5252, 'eval_samples_per_second': 472.062, 'eval_steps_per_second': 3.934, 'epoch': 9.75} -{'loss': 0.3922, 'grad_norm': 1.7674424648284912, 'learning_rate': 1.25e-06, 'epoch': 9.75} -{'loss': 0.3931, 'grad_norm': 1.5275949239730835, 'learning_rate': 1.2410071942446044e-06, 'epoch': 9.75} -{'loss': 0.3908, 'grad_norm': 1.4115278720855713, 'learning_rate': 1.2320143884892089e-06, 'epoch': 9.75} -{'loss': 0.4008, 'grad_norm': 1.4572901725769043, 'learning_rate': 1.223021582733813e-06, 'epoch': 9.76} -{'loss': 0.4051, 'grad_norm': 1.5999054908752441, 'learning_rate': 1.2140287769784174e-06, 'epoch': 9.76} -{'loss': 0.4161, 'grad_norm': 2.333508253097534, 'learning_rate': 1.2050359712230217e-06, 'epoch': 9.76} -{'loss': 0.4012, 'grad_norm': 1.6352535486221313, 'learning_rate': 1.196043165467626e-06, 'epoch': 9.76} -{'loss': 0.3986, 'grad_norm': 1.6134454011917114, 'learning_rate': 1.1870503597122303e-06, 'epoch': 9.76} -{'loss': 0.4036, 'grad_norm': 1.644614577293396, 'learning_rate': 1.1780575539568345e-06, 'epoch': 9.76} -{'loss': 0.4012, 'grad_norm': 1.4327843189239502, 'learning_rate': 1.169064748201439e-06, 'epoch': 9.77} - 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎ | 5450/5570 [1:26:39<01:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42552897334098816, 'eval_runtime': 1.5228, 'eval_samples_per_second': 472.799, 'eval_steps_per_second': 3.94, 'epoch': 9.77} -{'loss': 0.4102, 'grad_norm': 1.7108536958694458, 'learning_rate': 1.160071942446043e-06, 'epoch': 9.77} -{'loss': 0.407, 'grad_norm': 2.569046974182129, 'learning_rate': 1.1510791366906476e-06, 'epoch': 9.77} -{'loss': 0.3883, 'grad_norm': 2.2767255306243896, 'learning_rate': 1.1420863309352519e-06, 'epoch': 9.77} -{'loss': 0.3982, 'grad_norm': 1.8503791093826294, 'learning_rate': 1.1330935251798561e-06, 'epoch': 9.77} -{'loss': 0.3975, 'grad_norm': 1.5962638854980469, 'learning_rate': 1.1241007194244604e-06, 'epoch': 9.78} -{'loss': 0.3929, 'grad_norm': 1.5457382202148438, 'learning_rate': 1.115107913669065e-06, 'epoch': 9.78} -{'loss': 0.3952, 'grad_norm': 1.4212102890014648, 'learning_rate': 1.1061151079136692e-06, 'epoch': 9.78} -{'loss': 0.4018, 'grad_norm': 1.195031762123108, 'learning_rate': 1.0971223021582735e-06, 'epoch': 9.78} -{'loss': 0.3982, 'grad_norm': 1.9327117204666138, 'learning_rate': 1.0881294964028777e-06, 'epoch': 9.78} -{'loss': 0.3938, 'grad_norm': 2.487722635269165, 'learning_rate': 1.0791366906474822e-06, 'epoch': 9.78} - 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌ | 5460/5570 [1:26:49<01:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4251976013183594, 'eval_runtime': 1.5332, 'eval_samples_per_second': 469.621, 'eval_steps_per_second': 3.914, 'epoch': 9.78} -{'loss': 0.3893, 'grad_norm': 1.9432868957519531, 'learning_rate': 1.0701438848920863e-06, 'epoch': 9.79} -{'loss': 0.3997, 'grad_norm': 1.8020493984222412, 'learning_rate': 1.0611510791366908e-06, 'epoch': 9.79} -{'loss': 0.3936, 'grad_norm': 1.2802609205245972, 'learning_rate': 1.052158273381295e-06, 'epoch': 9.79} -{'loss': 0.4076, 'grad_norm': 1.5602538585662842, 'learning_rate': 1.0431654676258993e-06, 'epoch': 9.79} -{'loss': 0.3962, 'grad_norm': 1.8013392686843872, 'learning_rate': 1.0341726618705036e-06, 'epoch': 9.79} -{'loss': 0.3974, 'grad_norm': 1.5325216054916382, 'learning_rate': 1.025179856115108e-06, 'epoch': 9.8} -{'loss': 0.3921, 'grad_norm': 1.5455867052078247, 'learning_rate': 1.0161870503597122e-06, 'epoch': 9.8} -{'loss': 0.4035, 'grad_norm': 2.8122332096099854, 'learning_rate': 1.0071942446043164e-06, 'epoch': 9.8} -{'loss': 0.3977, 'grad_norm': 1.6123453378677368, 'learning_rate': 9.98201438848921e-07, 'epoch': 9.8} -{'loss': 0.4017, 'grad_norm': 1.5510903596878052, 'learning_rate': 9.892086330935252e-07, 'epoch': 9.8} - 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊ | 5470/5570 [1:26:58<01:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42577701807022095, 'eval_runtime': 1.556, 'eval_samples_per_second': 462.724, 'eval_steps_per_second': 3.856, 'epoch': 9.8} -{'loss': 0.3991, 'grad_norm': 1.5516425371170044, 'learning_rate': 9.802158273381295e-07, 'epoch': 9.8} -{'loss': 0.405, 'grad_norm': 1.5414862632751465, 'learning_rate': 9.712230215827338e-07, 'epoch': 9.81} -{'loss': 0.3976, 'grad_norm': 1.6156067848205566, 'learning_rate': 9.622302158273383e-07, 'epoch': 9.81} -{'loss': 0.4102, 'grad_norm': 1.7929373979568481, 'learning_rate': 9.532374100719424e-07, 'epoch': 9.81} -{'loss': 0.4036, 'grad_norm': 1.4223800897598267, 'learning_rate': 9.442446043165468e-07, 'epoch': 9.81} -{'loss': 0.398, 'grad_norm': 2.538301944732666, 'learning_rate': 9.352517985611511e-07, 'epoch': 9.81} -{'loss': 0.4016, 'grad_norm': 2.7434284687042236, 'learning_rate': 9.262589928057555e-07, 'epoch': 9.82} -{'loss': 0.3908, 'grad_norm': 2.482318162918091, 'learning_rate': 9.172661870503598e-07, 'epoch': 9.82} -{'loss': 0.4093, 'grad_norm': 1.9734371900558472, 'learning_rate': 9.082733812949641e-07, 'epoch': 9.82} -{'loss': 0.3906, 'grad_norm': 1.1889723539352417, 'learning_rate': 8.992805755395683e-07, 'epoch': 9.82} - 98%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5480/5570 [1:27:08<01:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42559102177619934, 'eval_runtime': 1.5227, 'eval_samples_per_second': 472.844, 'eval_steps_per_second': 3.94, 'epoch': 9.82} -{'loss': 0.4053, 'grad_norm': 1.4645352363586426, 'learning_rate': 8.902877697841728e-07, 'epoch': 9.82} -{'loss': 0.4015, 'grad_norm': 1.3867745399475098, 'learning_rate': 8.81294964028777e-07, 'epoch': 9.82} -{'loss': 0.397, 'grad_norm': 1.7682437896728516, 'learning_rate': 8.723021582733814e-07, 'epoch': 9.83} -{'loss': 0.4016, 'grad_norm': 1.0216901302337646, 'learning_rate': 8.633093525179856e-07, 'epoch': 9.83} -{'loss': 0.3924, 'grad_norm': 1.0910117626190186, 'learning_rate': 8.5431654676259e-07, 'epoch': 9.83} -{'loss': 0.3951, 'grad_norm': 1.139204502105713, 'learning_rate': 8.453237410071943e-07, 'epoch': 9.83} -{'loss': 0.3967, 'grad_norm': 1.8429306745529175, 'learning_rate': 8.363309352517987e-07, 'epoch': 9.83} -{'loss': 0.3939, 'grad_norm': 2.235617160797119, 'learning_rate': 8.27338129496403e-07, 'epoch': 9.83} -{'loss': 0.4093, 'grad_norm': 2.380577325820923, 'learning_rate': 8.183453237410073e-07, 'epoch': 9.84} -{'loss': 0.4086, 'grad_norm': 1.29874849319458, 'learning_rate': 8.093525179856115e-07, 'epoch': 9.84} - 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ | 5490/5570 [1:27:17<01:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4249818027019501, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.033, 'eval_steps_per_second': 3.925, 'epoch': 9.84} -{'loss': 0.3886, 'grad_norm': 1.854433298110962, 'learning_rate': 8.003597122302158e-07, 'epoch': 9.84} -{'loss': 0.3989, 'grad_norm': 1.7653151750564575, 'learning_rate': 7.913669064748202e-07, 'epoch': 9.84} -{'loss': 0.3922, 'grad_norm': 1.2327834367752075, 'learning_rate': 7.823741007194244e-07, 'epoch': 9.84} -{'loss': 0.3996, 'grad_norm': 2.3343305587768555, 'learning_rate': 7.733812949640288e-07, 'epoch': 9.85} -{'loss': 0.3987, 'grad_norm': 1.345207691192627, 'learning_rate': 7.643884892086331e-07, 'epoch': 9.85} -{'loss': 0.3947, 'grad_norm': 1.1364452838897705, 'learning_rate': 7.553956834532375e-07, 'epoch': 9.85} -{'loss': 0.4058, 'grad_norm': 2.18725848197937, 'learning_rate': 7.464028776978418e-07, 'epoch': 9.85} -{'loss': 0.4018, 'grad_norm': 1.769020438194275, 'learning_rate': 7.374100719424462e-07, 'epoch': 9.85} -{'loss': 0.3995, 'grad_norm': 1.7675503492355347, 'learning_rate': 7.284172661870504e-07, 'epoch': 9.85} -{'loss': 0.4079, 'grad_norm': 1.9929931163787842, 'learning_rate': 7.194244604316547e-07, 'epoch': 9.86} - 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▍ | 5500/5570 [1:27:27<00:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4248118996620178, 'eval_runtime': 1.5207, 'eval_samples_per_second': 473.473, 'eval_steps_per_second': 3.946, 'epoch': 9.86} -{'loss': 0.4007, 'grad_norm': 1.560664415359497, 'learning_rate': 7.104316546762591e-07, 'epoch': 9.86} -{'loss': 0.4027, 'grad_norm': 1.0610547065734863, 'learning_rate': 7.014388489208633e-07, 'epoch': 9.86} -{'loss': 0.3994, 'grad_norm': 1.056220293045044, 'learning_rate': 6.924460431654677e-07, 'epoch': 9.86} -{'loss': 0.3988, 'grad_norm': 1.5540512800216675, 'learning_rate': 6.834532374100719e-07, 'epoch': 9.86} -{'loss': 0.3967, 'grad_norm': 2.008000135421753, 'learning_rate': 6.744604316546763e-07, 'epoch': 9.87} -{'loss': 0.3941, 'grad_norm': 1.675438642501831, 'learning_rate': 6.654676258992806e-07, 'epoch': 9.87} -{'loss': 0.3975, 'grad_norm': 1.387003779411316, 'learning_rate': 6.564748201438849e-07, 'epoch': 9.87} -{'loss': 0.3995, 'grad_norm': 1.1470452547073364, 'learning_rate': 6.474820143884893e-07, 'epoch': 9.87} -{'loss': 0.3939, 'grad_norm': 1.4100993871688843, 'learning_rate': 6.384892086330935e-07, 'epoch': 9.87} -{'loss': 0.4042, 'grad_norm': 1.1821262836456299, 'learning_rate': 6.294964028776979e-07, 'epoch': 9.87} - 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▋ | 5510/5570 [1:27:36<00:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42484402656555176, 'eval_runtime': 1.5211, 'eval_samples_per_second': 473.355, 'eval_steps_per_second': 3.945, 'epoch': 9.87} -{'loss': 0.4108, 'grad_norm': 1.3944518566131592, 'learning_rate': 6.205035971223022e-07, 'epoch': 9.88} -{'loss': 0.3981, 'grad_norm': 1.7147091627120972, 'learning_rate': 6.115107913669065e-07, 'epoch': 9.88} -{'loss': 0.3982, 'grad_norm': 1.5416259765625, 'learning_rate': 6.025179856115109e-07, 'epoch': 9.88} -{'loss': 0.3999, 'grad_norm': 2.0606496334075928, 'learning_rate': 5.935251798561151e-07, 'epoch': 9.88} -{'loss': 0.4094, 'grad_norm': 1.4475561380386353, 'learning_rate': 5.845323741007195e-07, 'epoch': 9.88} -{'loss': 0.3917, 'grad_norm': 1.1049600839614868, 'learning_rate': 5.755395683453238e-07, 'epoch': 9.89} -{'loss': 0.4016, 'grad_norm': 1.354048490524292, 'learning_rate': 5.665467625899281e-07, 'epoch': 9.89} -{'loss': 0.4012, 'grad_norm': 1.727439045906067, 'learning_rate': 5.575539568345325e-07, 'epoch': 9.89} -{'loss': 0.3878, 'grad_norm': 1.6899487972259521, 'learning_rate': 5.485611510791367e-07, 'epoch': 9.89} -{'loss': 0.3857, 'grad_norm': 0.9894332885742188, 'learning_rate': 5.395683453237411e-07, 'epoch': 9.89} - 99%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▉ | 5520/5570 [1:27:46<00:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4249029755592346, 'eval_runtime': 1.5357, 'eval_samples_per_second': 468.844, 'eval_steps_per_second': 3.907, 'epoch': 9.89} -{'loss': 0.4072, 'grad_norm': 2.193371534347534, 'learning_rate': 5.305755395683454e-07, 'epoch': 9.89} -{'loss': 0.3955, 'grad_norm': 1.3104974031448364, 'learning_rate': 5.215827338129497e-07, 'epoch': 9.9} -{'loss': 0.4052, 'grad_norm': 1.233952283859253, 'learning_rate': 5.12589928057554e-07, 'epoch': 9.9} -{'loss': 0.419, 'grad_norm': 1.8913084268569946, 'learning_rate': 5.035971223021582e-07, 'epoch': 9.9} -{'loss': 0.4028, 'grad_norm': 1.0661444664001465, 'learning_rate': 4.946043165467626e-07, 'epoch': 9.9} -{'loss': 0.4109, 'grad_norm': 1.1660794019699097, 'learning_rate': 4.856115107913669e-07, 'epoch': 9.9} -{'loss': 0.399, 'grad_norm': 1.6569675207138062, 'learning_rate': 4.766187050359712e-07, 'epoch': 9.9} -{'loss': 0.4001, 'grad_norm': 1.569685935974121, 'learning_rate': 4.6762589928057555e-07, 'epoch': 9.91} -{'loss': 0.397, 'grad_norm': 2.0827131271362305, 'learning_rate': 4.586330935251799e-07, 'epoch': 9.91} -{'loss': 0.404, 'grad_norm': 1.398995041847229, 'learning_rate': 4.4964028776978415e-07, 'epoch': 9.91} - 99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████ | 5530/5570 [1:27:55<00:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42464935779571533, 'eval_runtime': 1.5329, 'eval_samples_per_second': 469.697, 'eval_steps_per_second': 3.914, 'epoch': 9.91} -{'loss': 0.3974, 'grad_norm': 1.2165629863739014, 'learning_rate': 4.406474820143885e-07, 'epoch': 9.91} -{'loss': 0.4053, 'grad_norm': 1.169134259223938, 'learning_rate': 4.316546762589928e-07, 'epoch': 9.91} -{'loss': 0.3939, 'grad_norm': 1.6298189163208008, 'learning_rate': 4.2266187050359715e-07, 'epoch': 9.92} -{'loss': 0.3973, 'grad_norm': 1.1402840614318848, 'learning_rate': 4.136690647482015e-07, 'epoch': 9.92} -{'loss': 0.3882, 'grad_norm': 1.3397573232650757, 'learning_rate': 4.0467625899280576e-07, 'epoch': 9.92} -{'loss': 0.4034, 'grad_norm': 1.101767659187317, 'learning_rate': 3.956834532374101e-07, 'epoch': 9.92} -{'loss': 0.4003, 'grad_norm': 1.025187611579895, 'learning_rate': 3.866906474820144e-07, 'epoch': 9.92} -{'loss': 0.3993, 'grad_norm': 2.206662893295288, 'learning_rate': 3.7769784172661875e-07, 'epoch': 9.92} -{'loss': 0.3968, 'grad_norm': 1.1357563734054565, 'learning_rate': 3.687050359712231e-07, 'epoch': 9.93} -{'loss': 0.4072, 'grad_norm': 1.949669361114502, 'learning_rate': 3.5971223021582736e-07, 'epoch': 9.93} - 99%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▎| 5540/5570 [1:28:05<00:24, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4249674379825592, 'eval_runtime': 1.5206, 'eval_samples_per_second': 473.493, 'eval_steps_per_second': 3.946, 'epoch': 9.93} -{'loss': 0.3993, 'grad_norm': 1.5738521814346313, 'learning_rate': 3.5071942446043163e-07, 'epoch': 9.93} -{'loss': 0.4015, 'grad_norm': 1.4053101539611816, 'learning_rate': 3.4172661870503596e-07, 'epoch': 9.93} -{'loss': 0.3978, 'grad_norm': 1.9599863290786743, 'learning_rate': 3.327338129496403e-07, 'epoch': 9.93} -{'loss': 0.3992, 'grad_norm': 1.200988531112671, 'learning_rate': 3.237410071942446e-07, 'epoch': 9.94} -{'loss': 0.3951, 'grad_norm': 1.4631775617599487, 'learning_rate': 3.1474820143884896e-07, 'epoch': 9.94} -{'loss': 0.3989, 'grad_norm': 1.420865535736084, 'learning_rate': 3.0575539568345323e-07, 'epoch': 9.94} -{'loss': 0.397, 'grad_norm': 1.2153288125991821, 'learning_rate': 2.9676258992805756e-07, 'epoch': 9.94} -{'loss': 0.4017, 'grad_norm': 1.6646201610565186, 'learning_rate': 2.877697841726619e-07, 'epoch': 9.94} -{'loss': 0.4051, 'grad_norm': 1.632192611694336, 'learning_rate': 2.787769784172662e-07, 'epoch': 9.94} -{'loss': 0.3944, 'grad_norm': 1.9334768056869507, 'learning_rate': 2.6978417266187056e-07, 'epoch': 9.95} -100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▌| 5550/5570 [1:28:15<00:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.424561470746994, 'eval_runtime': 1.5205, 'eval_samples_per_second': 473.522, 'eval_steps_per_second': 3.946, 'epoch': 9.95} -{'loss': 0.4052, 'grad_norm': 1.1231732368469238, 'learning_rate': 2.6079136690647483e-07, 'epoch': 9.95} -{'loss': 0.411, 'grad_norm': 1.5295815467834473, 'learning_rate': 2.517985611510791e-07, 'epoch': 9.95} -{'loss': 0.4123, 'grad_norm': 1.514170527458191, 'learning_rate': 2.4280575539568344e-07, 'epoch': 9.95} -{'loss': 0.3971, 'grad_norm': 1.027706265449524, 'learning_rate': 2.3381294964028777e-07, 'epoch': 9.95} -{'loss': 0.3936, 'grad_norm': 1.2340608835220337, 'learning_rate': 2.2482014388489208e-07, 'epoch': 9.96} -{'loss': 0.41, 'grad_norm': 1.6860902309417725, 'learning_rate': 2.158273381294964e-07, 'epoch': 9.96} -{'loss': 0.3885, 'grad_norm': 1.6986998319625854, 'learning_rate': 2.0683453237410074e-07, 'epoch': 9.96} -{'loss': 0.3979, 'grad_norm': 1.565767765045166, 'learning_rate': 1.9784172661870504e-07, 'epoch': 9.96} -{'loss': 0.3938, 'grad_norm': 1.3714454174041748, 'learning_rate': 1.8884892086330937e-07, 'epoch': 9.96} -{'loss': 0.4032, 'grad_norm': 1.3517240285873413, 'learning_rate': 1.7985611510791368e-07, 'epoch': 9.96} -100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▊| 5560/5570 [1:28:24<00:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4247698485851288, 'eval_runtime': 1.522, 'eval_samples_per_second': 473.072, 'eval_steps_per_second': 3.942, 'epoch': 9.96} -{'loss': 0.4007, 'grad_norm': 1.5978455543518066, 'learning_rate': 1.7086330935251798e-07, 'epoch': 9.97} -{'loss': 0.3894, 'grad_norm': 1.6418533325195312, 'learning_rate': 1.618705035971223e-07, 'epoch': 9.97} -{'loss': 0.3934, 'grad_norm': 1.134000539779663, 'learning_rate': 1.5287769784172662e-07, 'epoch': 9.97} -{'loss': 0.3969, 'grad_norm': 1.4057239294052124, 'learning_rate': 1.4388489208633095e-07, 'epoch': 9.97} -{'loss': 0.3897, 'grad_norm': 1.516244888305664, 'learning_rate': 1.3489208633093528e-07, 'epoch': 9.97} -{'loss': 0.4046, 'grad_norm': 1.0659019947052002, 'learning_rate': 1.2589928057553956e-07, 'epoch': 9.97} -{'loss': 0.3941, 'grad_norm': 1.445537805557251, 'learning_rate': 1.1690647482014389e-07, 'epoch': 9.98} -{'loss': 0.3987, 'grad_norm': 2.2539875507354736, 'learning_rate': 1.079136690647482e-07, 'epoch': 9.98} -{'loss': 0.4035, 'grad_norm': 1.8682719469070435, 'learning_rate': 9.892086330935252e-08, 'epoch': 9.98} -{'loss': 0.4037, 'grad_norm': 1.1490285396575928, 'learning_rate': 8.992805755395684e-08, 'epoch': 9.98} -100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5570/5570 [1:28:33<00:00, 1.60it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.42446932196617126, 'eval_runtime': 1.532, 'eval_samples_per_second': 469.962, 'eval_steps_per_second': 3.916, 'epoch': 9.98} -{'loss': 0.3991, 'grad_norm': 1.9071866273880005, 'learning_rate': 8.093525179856116e-08, 'epoch': 9.98} -{'loss': 0.3995, 'grad_norm': 1.6529375314712524, 'learning_rate': 7.194244604316547e-08, 'epoch': 9.99} -{'loss': 0.409, 'grad_norm': 1.4829847812652588, 'learning_rate': 6.294964028776978e-08, 'epoch': 9.99} -{'loss': 0.3928, 'grad_norm': 1.2672020196914673, 'learning_rate': 5.39568345323741e-08, 'epoch': 9.99} -{'loss': 0.3927, 'grad_norm': 1.3685758113861084, 'learning_rate': 4.496402877697842e-08, 'epoch': 9.99} -{'loss': 0.4041, 'grad_norm': 1.7089049816131592, 'learning_rate': 3.597122302158274e-08, 'epoch': 9.99} -{'loss': 0.3963, 'grad_norm': 1.7111479043960571, 'learning_rate': 2.697841726618705e-08, 'epoch': 9.99} -{'loss': 0.3936, 'grad_norm': 1.2165113687515259, 'learning_rate': 1.798561151079137e-08, 'epoch': 10.0} -{'loss': 0.397, 'grad_norm': 0.9675156474113464, 'learning_rate': 8.992805755395684e-09, 'epoch': 10.0} -{'loss': 0.3736, 'grad_norm': 4.40191650390625, 'learning_rate': 0.0, 'epoch': 10.0} -100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 5570/5570 [1:28:36<00:00, 1.05it/s] - -{'eval_loss': 0.42438167333602905, 'eval_runtime': 1.5261, 'eval_samples_per_second': 471.794, 'eval_steps_per_second': 3.932, 'epoch': 10.0} -{'train_runtime': 5316.3846, 'train_samples_per_second': 133.916, 'train_steps_per_second': 1.048, 'train_loss': 0.43644851526409334, 'epoch': 10.0} diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/wandb-metadata.json b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/files/wandb-metadata.json deleted file mode 100644 index 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/home/chyang/.config/wandb/settings -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Loading settings from /tmp2/chyang/workspace/LLM-BC/wandb/settings -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Loading settings from environment variables: {} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Applying setup settings: {'mode': 'online', '_disable_service': None} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Inferring run settings from compute environment: {'program_relpath': 'train.py', 'program_abspath': '/tmp2/chyang/workspace/LLM-BC/train.py', 'program': '/tmp2/chyang/workspace/LLM-BC/./train.py'} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_setup.py:_flush():79] Applying login settings: {} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:_log_setup():533] Logging user logs to /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/logs/debug.log -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:_log_setup():534] Logging internal logs to /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/logs/debug-internal.log -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:init():619] calling init triggers -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:init():626] wandb.init called with sweep_config: {} -config: {'name': 'train_llm_lowdim', '_target_': 'llmbc.workspace.train_llm_workspace.TrainLLMWorkspace', 'obs_dim': 9, 'action_dim': 4, 'horizon': 1, 'n_obs_steps': 1, 'n_action_steps': 1, 'task_name': 'box-close-v2', 'exp_name': 'train llm', 'model_name': 'HuggingFaceTB/SmolLM2-135M-Instruct', 'use_quantization': False, 'lora_config': {'r': 32, 'lora_alpha': 64, 'lora_dropout': 0.05, 'bias': 'none', 'task_type': 'CAUSAL_LM'}, 'dataset': {'test_data_ratio': 0.01}, 'debug': False, 'training': {'seed': 42, 'per_device_train_batch_size': 128, 'per_device_eval_batch_size': 128, 'gradient_accumulation_steps': 1, 'optim': 'paged_adamw_32bit', 'num_train_epochs': 10, 'eval_strategy': 'steps', 'logging_steps': 1, 'warmup_steps': 10, 'logging_strategy': 'steps', 'learning_rate': 5e-05, 'fp16': False, 'bf16': True, 'tf32': True, 'group_by_length': True, 'report_to': 'wandb', 'save_steps': 5000, 'eval_steps': 10, 'use_joint_mlp_projector': True, 'joint_obs_action_mlp_lr': 5e-05}, 'trainer': {'obs_dim': 9, 'action_dim': 4, 'use_joint_mlp_projector': True, 'max_seq_length': 100, 'dataset_text_field': 'text', 'packing': False}, 'logging': {'project': 'llm_module_finetuning', 'resume': True, 'mode': 'online', 'name': '2026.09.25-10.07.22_train_llm_lowdim_box-close-v2', 'tags': ['train_llm_lowdim', 'box-close-v2', 'train llm'], 'id': None, 'group': None}, 'multi_run': {'run_dir': 'data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2', 'wandb_name_base': '2026.09.25-10.07.22_train_llm_lowdim_box-close-v2'}, 'task': {'name': 'box-close-v2', 'obs_dim': 9, 'action_dim': 4, 'env_runner': {'_target_': 'llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner', 'env_name': 'llf-metaworld-box-close-v2', 'n_train': 10, 'n_test': 50, 'n_envs': 10, 'max_steps': 30, 'n_obs_steps': 1, 'n_action_steps': 1, 'instruction_type': 'b', 'feedback_type': ['hp', 'hn', 'fp'], 'visual': False, 'discount': 0.9}, 'dataset': {'_target_': 'llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset', 'data_path': 'datasets/box-close-v2-general-expsplit0.02-manual-expert-only.pt', 'data_path2': 'datasets/box-close-v2-split0.02.pt', 'horizon': 1, 'pad_before': 0, 'pad_after': 0, 'obs_eef_target': True, 'use_manual_normalizer': False, 'val_ratio': 0.05, 'dummy_normalizer': False}, 'instructor': {'_target_': 'llmbc.translator.instructor.metaworld_instructor.box_close_v2_instructor.BoxCloseV2Instructor'}}, 'llm': {'name': 'HuggingFaceTB/SmolLM2-135M-Instruct', 'model_name': 'SmolLM2-135M-Instruct', 'config_target': 'llmbc.model.llm.llama_lowdim_model.LowdimLlamaConfig', 'causal_lm_target': 'llmbc.model.llm.llama_lowdim_model.LowdimLlamaForCausalLM', 'use_quantization': False, 'use_joint_mlp_projector': True, 'llm_mode': 'mlp-finetuned', 'finetune_mode': 'orig', 'checkpoint': 'data/outputs/2026.09.24/17.18.06_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt', 'max_length': 100, 'lora_config': {'r': 32, 'lora_alpha': 64, 'lora_dropout': 0.05, 'bias': 'none', 'task_type': 'CAUSAL_LM'}, 'prompter': {'_target_': 'llmbc.translator.prompter.smollm2_prompter.SmolLM2Prompter', 'use_joint_mlp_projector': True}, 'hydra': {'job': {'override_dirname': 'HuggingFaceTB/SmolLM2-135M-Instruct'}, 'run': {'dir': 'data/outputs/2026.09.25/10.07.22_HuggingFaceTB/SmolLM2-135M-Instruct'}}}} -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:init():669] starting backend -2026-09-25 10:07:26,437 INFO MainThread:1947612 [wandb_init.py:init():673] sending inform_init request -2026-09-25 10:07:26,438 INFO MainThread:1947612 [backend.py:_multiprocessing_setup():104] multiprocessing start_methods=fork,spawn,forkserver, using: spawn -2026-09-25 10:07:26,438 INFO MainThread:1947612 [wandb_init.py:init():686] backend started and connected -2026-09-25 10:07:26,444 INFO MainThread:1947612 [wandb_init.py:init():781] updated telemetry -2026-09-25 10:07:26,475 INFO MainThread:1947612 [wandb_init.py:init():814] communicating run to backend with 90.0 second timeout -2026-09-25 10:07:27,545 INFO MainThread:1947612 [wandb_init.py:init():867] starting run threads in backend -2026-09-25 10:07:27,656 INFO MainThread:1947612 [wandb_run.py:_console_start():2451] atexit reg -2026-09-25 10:07:27,656 INFO MainThread:1947612 [wandb_run.py:_redirect():2299] redirect: wrap_raw -2026-09-25 10:07:27,657 INFO MainThread:1947612 [wandb_run.py:_redirect():2364] Wrapping output streams. -2026-09-25 10:07:27,657 INFO MainThread:1947612 [wandb_run.py:_redirect():2389] Redirects installed. -2026-09-25 10:07:27,658 INFO MainThread:1947612 [wandb_init.py:init():911] run started, returning control to user process -2026-09-25 10:08:08,225 INFO MainThread:1947612 [wandb_run.py:_config_callback():1389] config_cb None None {'obs_dim': 9, 'action_dim': 4, 'use_joint_mlp_projector': True, 'vocab_size': 49152, 'max_position_embeddings': 8192, 'hidden_size': 576, 'intermediate_size': 1536, 'num_hidden_layers': 30, 'num_attention_heads': 9, 'num_key_value_heads': 3, 'hidden_act': 'silu', 'initializer_range': 0.041666666666666664, 'rms_norm_eps': 1e-05, 'pretraining_tp': 1, 'use_cache': False, 'rope_theta': 100000, 'rope_scaling': None, 'attention_bias': False, 'attention_dropout': 0.0, 'mlp_bias': False, 'head_dim': 64, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': True, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 'temperature': 1.0, 'top_k': 50, 'top_p': 1.0, 'typical_p': 1.0, 'repetition_penalty': 1.0, 'length_penalty': 1.0, 'no_repeat_ngram_size': 0, 'encoder_no_repeat_ngram_size': 0, 'bad_words_ids': None, 'num_return_sequences': 1, 'output_scores': False, 'return_dict_in_generate': False, 'forced_bos_token_id': None, 'forced_eos_token_id': None, 'remove_invalid_values': False, 'exponential_decay_length_penalty': None, 'suppress_tokens': None, 'begin_suppress_tokens': None, 'architectures': ['LlamaForCausalLM'], 'finetuning_task': None, 'id2label': {0: 'LABEL_0', 1: 'LABEL_1'}, 'label2id': {'LABEL_0': 0, 'LABEL_1': 1}, 'tokenizer_class': None, 'prefix': None, 'bos_token_id': 1, 'pad_token_id': 2, 'eos_token_id': 2, 'sep_token_id': None, 'decoder_start_token_id': None, 'task_specific_params': None, 'problem_type': None, '_name_or_path': 'HuggingFaceTB/SmolLM2-135M-Instruct', '_attn_implementation_autoset': True, 'transformers_version': '4.47.1', 'is_llama_config': True, 'model_type': 'llama_lowdim', 'rope_interleaved': False, 'transformers.js_config': {'kv_cache_dtype': {'q4f16': 'float16', 'fp16': 'float16'}}, 'output_dir': '/tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2', 'overwrite_output_dir': False, 'do_train': False, 'do_eval': True, 'do_predict': False, 'eval_strategy': 'steps', 'prediction_loss_only': False, 'per_device_train_batch_size': 128, 'per_device_eval_batch_size': 128, 'per_gpu_train_batch_size': None, 'per_gpu_eval_batch_size': None, 'gradient_accumulation_steps': 1, 'eval_accumulation_steps': None, 'eval_delay': 0, 'torch_empty_cache_steps': None, 'learning_rate': 5e-05, 'weight_decay': 0.0, 'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'max_grad_norm': 1.0, 'num_train_epochs': 10, 'max_steps': -1, 'lr_scheduler_type': 'linear', 'lr_scheduler_kwargs': {}, 'warmup_ratio': 0.0, 'warmup_steps': 10, 'log_level': 'passive', 'log_level_replica': 'warning', 'log_on_each_node': True, 'logging_dir': '/tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/runs/Sep25_10-07-57_A6000', 'logging_strategy': 'steps', 'logging_first_step': False, 'logging_steps': 1, 'logging_nan_inf_filter': True, 'save_strategy': 'steps', 'save_steps': 5000, 'save_total_limit': None, 'save_safetensors': True, 'save_on_each_node': False, 'save_only_model': False, 'restore_callback_states_from_checkpoint': False, 'no_cuda': False, 'use_cpu': False, 'use_mps_device': False, 'seed': 42, 'data_seed': None, 'jit_mode_eval': False, 'use_ipex': False, 'bf16': True, 'fp16': False, 'fp16_opt_level': 'O1', 'half_precision_backend': 'auto', 'bf16_full_eval': False, 'fp16_full_eval': False, 'tf32': True, 'local_rank': 0, 'ddp_backend': None, 'tpu_num_cores': None, 'tpu_metrics_debug': False, 'debug': [], 'dataloader_drop_last': False, 'eval_steps': 10, 'dataloader_num_workers': 0, 'dataloader_prefetch_factor': None, 'past_index': -1, 'run_name': '/tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2', 'disable_tqdm': False, 'remove_unused_columns': True, 'label_names': None, 'load_best_model_at_end': False, 'metric_for_best_model': None, 'greater_is_better': None, 'ignore_data_skip': False, 'fsdp': [], 'fsdp_min_num_params': 0, 'fsdp_config': {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, 'fsdp_transformer_layer_cls_to_wrap': None, 'accelerator_config': {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}, 'deepspeed': None, 'label_smoothing_factor': 0.0, 'optim': 'paged_adamw_32bit', 'optim_args': None, 'adafactor': False, 'group_by_length': True, 'length_column_name': 'length', 'report_to': ['wandb'], 'ddp_find_unused_parameters': None, 'ddp_bucket_cap_mb': None, 'ddp_broadcast_buffers': None, 'dataloader_pin_memory': True, 'dataloader_persistent_workers': False, 'skip_memory_metrics': True, 'use_legacy_prediction_loop': False, 'push_to_hub': False, 'resume_from_checkpoint': None, 'hub_model_id': None, 'hub_strategy': 'every_save', 'hub_token': '', 'hub_private_repo': None, 'hub_always_push': False, 'gradient_checkpointing': False, 'gradient_checkpointing_kwargs': None, 'include_inputs_for_metrics': False, 'include_for_metrics': [], 'eval_do_concat_batches': True, 'fp16_backend': 'auto', 'evaluation_strategy': None, 'push_to_hub_model_id': None, 'push_to_hub_organization': None, 'push_to_hub_token': '', 'mp_parameters': '', 'auto_find_batch_size': False, 'full_determinism': False, 'torchdynamo': None, 'ray_scope': 'last', 'ddp_timeout': 1800, 'torch_compile': False, 'torch_compile_backend': None, 'torch_compile_mode': None, 'dispatch_batches': None, 'split_batches': None, 'include_tokens_per_second': False, 'include_num_input_tokens_seen': False, 'neftune_noise_alpha': None, 'optim_target_modules': None, 'batch_eval_metrics': False, 'eval_on_start': False, 'use_liger_kernel': False, 'eval_use_gather_object': False, 'average_tokens_across_devices': False, 'dataset_text_field': 'text', 'packing': False, 'max_seq_length': 100, 'dataset_num_proc': None, 'dataset_batch_size': 1000, 'model_init_kwargs': None, 'dataset_kwargs': {}, 'eval_packing': None, 'num_of_sequences': 1024, 'chars_per_token': '', 'use_liger': False, 'joint_obs_action_mlp_lr': 5e-05, 'obs_mlp_lr': None, 'action_mlp_lr': None} -2026-09-25 10:08:08,227 INFO MainThread:1947612 [wandb_config.py:__setitem__():154] config set model/num_parameters = 134855424 - > -2026-09-25 10:08:08,227 INFO MainThread:1947612 [wandb_run.py:_config_callback():1389] config_cb model/num_parameters 134855424 None -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_finish():2146] finishing run b10902069-national-taiwan-university/llm_module_finetuning/4vx37hkk -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_atexit_cleanup():2414] got exitcode: 0 -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_restore():2396] restore -2026-09-25 11:36:44,587 INFO MainThread:1947612 [wandb_run.py:_restore():2402] restore done -2026-09-25 11:36:50,342 INFO MainThread:1947612 [wandb_run.py:_footer_history_summary_info():3963] rendering history -2026-09-25 11:36:50,344 INFO MainThread:1947612 [wandb_run.py:_footer_history_summary_info():3995] rendering summary -2026-09-25 11:36:50,348 INFO MainThread:1947612 [wandb_run.py:_footer_sync_info():3922] logging synced files diff --git a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/run-4vx37hkk.wandb b/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/run-4vx37hkk.wandb deleted file mode 100644 index f9ab756e86f2de483a927433a3feb68368d24e20..0000000000000000000000000000000000000000 --- a/2026.09.25/10.07.22_train_llm_lowdim_box-close-v2/wandb/run-20260925_100726-4vx37hkk/run-4vx37hkk.wandb +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9cca3d1b0d9e5cc7a0368bdeb004791f1cd39d7f8cf9d81660442abd333d2b80 -size 15745548 diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/config.yaml b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/config.yaml deleted file mode 100644 index 9de3225af305bc39915dcaadb41ed2e7c1655d3a..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/config.yaml +++ /dev/null @@ -1,115 +0,0 @@ -name: train_llm_lowdim -_target_: llmbc.workspace.train_llm_workspace.TrainLLMWorkspace -obs_dim: ${task.obs_dim} -action_dim: ${task.action_dim} -horizon: 1 -n_obs_steps: 1 -n_action_steps: 1 -task_name: ${task.name} -exp_name: train llm -model_name: ${llm.name} -use_quantization: ${llm.use_quantization} -lora_config: ${llm.lora_config} -dataset: - test_data_ratio: 0.01 -debug: false -training: - seed: 42 - per_device_train_batch_size: 128 - per_device_eval_batch_size: 128 - gradient_accumulation_steps: 1 - optim: paged_adamw_32bit - num_train_epochs: 10 - eval_strategy: steps - logging_steps: 1 - warmup_steps: 10 - logging_strategy: steps - learning_rate: 0.0001 - fp16: false - bf16: true - tf32: true - group_by_length: true - report_to: wandb - save_steps: 5000 - eval_steps: 10 - use_joint_mlp_projector: ${llm.use_joint_mlp_projector} - joint_obs_action_mlp_lr: 0.0001 -trainer: - obs_dim: ${obs_dim} - action_dim: ${action_dim} - use_joint_mlp_projector: ${llm.use_joint_mlp_projector} - max_seq_length: ${llm.max_length} - dataset_text_field: text - packing: false -logging: - project: llm_module_finetuning - resume: true - mode: online - name: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name} - tags: - - ${name} - - ${task_name} - - ${exp_name} - id: null - group: null -multi_run: - run_dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - wandb_name_base: ${now:%Y.%m.%d-%H.%M.%S}_${name}_${task_name} -task: - name: box-close-v2 - obs_dim: 9 - action_dim: 4 - env_runner: - _target_: llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner - env_name: llf-metaworld-box-close-v2 - n_train: 10 - n_test: 50 - n_envs: 10 - max_steps: 30 - n_obs_steps: ${n_obs_steps} - n_action_steps: ${n_action_steps} - instruction_type: b - feedback_type: - - hp - - hn - - fp - visual: false - discount: 0.9 - dataset: - _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset - data_path: datasets/box-close-v2-general-expsplit0.02-manual-expert-only.pt - data_path2: datasets/box-close-v2-split0.02.pt - horizon: ${horizon} - pad_before: ${eval:'${n_obs_steps}-1'} - pad_after: ${eval:'${n_action_steps}-1'} - obs_eef_target: true - use_manual_normalizer: false - val_ratio: 0.05 - dummy_normalizer: true - instructor: - _target_: llmbc.translator.instructor.metaworld_instructor.box_close_v2_instructor.BoxCloseV2Instructor -llm: - name: HuggingFaceTB/SmolLM2-135M-Instruct - model_name: SmolLM2-135M-Instruct - config_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaConfig - causal_lm_target: llmbc.model.llm.llama_lowdim_model.LowdimLlamaForCausalLM - use_quantization: false - use_joint_mlp_projector: true - llm_mode: mlp-finetuned - finetune_mode: orig - checkpoint: data/outputs/2026.09.24/17.14.58_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt - max_length: 100 - lora_config: - r: 32 - lora_alpha: 64 - lora_dropout: 0.05 - bias: none - task_type: CAUSAL_LM - prompter: - _target_: llmbc.translator.prompter.smollm2_prompter.SmolLM2Prompter - use_joint_mlp_projector: true - hydra: - job: - override_dirname: ${model_name} - run: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${model_name} diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml deleted file mode 100644 index 480d66bfa17ed5468b99fe71318701a103035f85..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/hydra.yaml +++ /dev/null @@ -1,154 +0,0 @@ -hydra: - run: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - sweep: - dir: data/outputs/${now:%Y.%m.%d}/${now:%H.%M.%S}_${name}_${task_name} - subdir: ${hydra.job.num} - launcher: - _target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher - sweeper: - _target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper - max_batch_size: null - params: null - help: - app_name: ${hydra.job.name} - header: '${hydra.help.app_name} is powered by Hydra. - - ' - footer: 'Powered by Hydra (https://hydra.cc) - - Use --hydra-help to view Hydra specific help - - ' - template: '${hydra.help.header} - - == Configuration groups == - - Compose your configuration from those groups (group=option) - - - $APP_CONFIG_GROUPS - - - == Config == - - Override anything in the config (foo.bar=value) - - - $CONFIG - - - ${hydra.help.footer} - - ' - hydra_help: - template: 'Hydra (${hydra.runtime.version}) - - See https://hydra.cc for more info. - - - == Flags == - - $FLAGS_HELP - - - == Configuration groups == - - Compose your configuration from those groups (For example, append hydra/job_logging=disabled - to command line) - - - $HYDRA_CONFIG_GROUPS - - - Use ''--cfg hydra'' to Show the Hydra config. - - ' - hydra_help: ??? - hydra_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][HYDRA] %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - root: - level: INFO - handlers: - - console - loggers: - logging_example: - level: DEBUG - disable_existing_loggers: false - job_logging: - version: 1 - formatters: - simple: - format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s' - handlers: - console: - class: logging.StreamHandler - formatter: simple - stream: ext://sys.stdout - file: - class: logging.FileHandler - formatter: simple - filename: ${hydra.runtime.output_dir}/${hydra.job.name}.log - root: - level: INFO - handlers: - - console - - file - disable_existing_loggers: false - env: {} - mode: RUN - searchpath: [] - callbacks: {} - output_subdir: .hydra - overrides: - hydra: - - hydra.mode=RUN - task: [] - job: - name: train - chdir: null - override_dirname: '' - id: ??? - num: ??? - config_name: llmbc_llm_box-close-v2_expsplit0.02-manual.yaml - env_set: {} - env_copy: [] - config: - override_dirname: - kv_sep: '=' - item_sep: ',' - exclude_keys: [] - runtime: - version: 1.2.0 - version_base: '1.2' - cwd: /tmp2/chyang/workspace/LLM-BC - config_sources: - - path: hydra.conf - schema: pkg - provider: hydra - - path: /tmp2/chyang/workspace/LLM-BC/config/lang_source - schema: file - provider: main - - path: '' - schema: structured - provider: schema - output_dir: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2 - choices: - hydra/env: default - hydra/callbacks: null - hydra/job_logging: default - hydra/hydra_logging: default - hydra/hydra_help: default - hydra/help: default - hydra/sweeper: basic - hydra/launcher: basic - hydra/output: default - verbose: false diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml deleted file mode 100644 index fe51488c7066f6687ef680d6bfaa4f7768ef205c..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/.hydra/overrides.yaml +++ /dev/null @@ -1 +0,0 @@ -[] diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json deleted file mode 100644 index 62d616b9b32595b430ab968b69c58654f4e428fd..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/config.json +++ /dev/null @@ -1,42 +0,0 @@ -{ - "_name_or_path": "HuggingFaceTB/SmolLM2-135M-Instruct", - "action_dim": 4, - "architectures": [ - "LowdimLlamaForCausalLM" - ], - "attention_bias": false, - "attention_dropout": 0.0, - "bos_token_id": 1, - "eos_token_id": 2, - "head_dim": 64, - "hidden_act": "silu", - "hidden_size": 576, - "initializer_range": 0.041666666666666664, - "intermediate_size": 1536, - "is_llama_config": true, - "max_position_embeddings": 8192, - "mlp_bias": false, - "model_type": "llama_lowdim", - "num_attention_heads": 9, - "num_hidden_layers": 30, - "num_key_value_heads": 3, - "obs_dim": 9, - "pad_token_id": 2, - "pretraining_tp": 1, - "rms_norm_eps": 1e-05, - "rope_interleaved": false, - "rope_scaling": null, - "rope_theta": 100000, - "tie_word_embeddings": true, - "torch_dtype": "float32", - "transformers.js_config": { - "kv_cache_dtype": { - "fp16": "float16", - "q4f16": "float16" - } - }, - "transformers_version": "4.47.1", - "use_cache": false, - "use_joint_mlp_projector": true, - "vocab_size": 49152 -} diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json deleted file mode 100644 index d5d8504870a2dc1d3c10576754965ea0e59d63da..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/generation_config.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "_from_model_config": true, - "bos_token_id": 1, - "eos_token_id": 2, - "pad_token_id": 2, - "transformers_version": "4.47.1" -} diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt deleted file mode 100644 index 69503b13f727ba3812b6803e97442a6de05ef5eb..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2/checkpoint-5000/merges.txt +++ /dev/null @@ -1,48901 +0,0 @@ -#version: 0.2 -Ġ t -Ġ a -i n -h e -Ġ Ġ -r e -o n -e r -Ġt he -a t -Ġ s -Ġ o -e n -Ġ c -e s -Ġ w -n d -i t -o r -i s -a l -Ġ p -in g -Ġ f -a n -e d -Ġ b -o u -a r -Ġ in -Ġo f -Ġ m -Ġa nd -i on -i c -Ġ d -Ġt o -ĠĠ ĠĠ -l e -r o -a s -en t -Ġ h -Ġt h -c t -Ġ e -Ġ re -e l -o m -i l -s t -Ġ l -Ġ n -e t -i m -v e -o l -at ion -Ġ g -i d -Ġ T -s e -Ġ is -u r -u t -r a -l y -c e -o t -â Ģ -c h -o w -i g -Ġb e -Ġ u -Ġf or -Ġs t -Ġ y -Ġ A -v er -a m -ĠĠ Ġ -Ġ S -Ġ on -u l -i r -Ġth at -Ġ I -Ġ C -a y -i f -it h -a d -Ġc on -Ġy ou -Ġa s -Ġp ro -he r -o d -Ġw ith -t er -ĠĠĠĠ ĠĠĠĠ 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ensions -ER IC -AD A -Ġmouth watering -ĠHispan ics -Know ledge -Ġimproper ly -Ġretal iation -Ï ĩ -ĠD ana -Ġk w -ĠUn cle -Ġseed ling -\ " -Ġan aphyl -ĠH ume -ĠW itch -Ġra cc -Ġsc or -play ers -Ġow es -ĠNurs es -ĠMR SA -ĠCurt is -Ġrestruct uring -m ixed -im i -ĠT yr -ĠF ung -ĠDe lete -ĠGen erator -uck land -reci pe -Ġbound less -ĠPC s -Sub scribe -Ġ ê -Ġl est -im ar -ĠM AP -um py -ĠD rosophila -Ġdist rust -med ium -Ġdry ness -Ġbetray al -Ġtoug her -ĠSanct uary -é Ļ -ĠY un -Ġbl ight -mar ine -Ġcommunic ative -Ġdivers ified -Ġaqu ifers -RA Y -bur st -Ant i -Ġfluctu ating -Ġstrat ification -ĠAchie vement -ĠOptim ization -Ġd ared -Ġ" $ -con tained -Ġchar ismatic -ĠCont ribut -Ġcivil ized -Ġfear ing -Ġsyn aptic -ĠImport antly -ĠEqu ations -ĠLight ing -snap shot -ĠD aisy -Ġins ure -PS C -ĠAdv ocate -ĠOffic ers -ĠR EL -Ġun a -Ġmechan ically -ĠPer forming -Ġresource fulness -== " -Ġinterven ing -H ig -st ations -Ġse cession -Th ursday -Ġgood bye -rag ed -Ġcut ter -Ġsky rock -Ġadherent s -if a 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17458, - "ĠEmbracing": 17459, - "roit": 17460, - "cession": 17461, - "Ġcasting": 17462, - "Ġincon": 17463, - "edges": 17464, - "udge": 17465, - "clock": 17466, - "ordon": 17467, - "tox": 17468, - "Ġvisitor": 17469, - "dose": 17470, - "amboo": 17471, - "Ġpist": 17472, - "igraph": 17473, - "Ġlimestone": 17474, - "Ġhosted": 17475, - "eur": 17476, - "apply": 17477, - "Ġplague": 17478, - "Ġunpredict": 17479, - "Ġreper": 17480, - "Ġ(-": 17481, - "Ġawa": 17482, - "document": 17483, - "beit": 17484, - "Ġargparse": 17485, - "Bre": 17486, - "Ġtasty": 17487, - "Ġdownstream": 17488, - "ĠBull": 17489, - "Ġpulmonary": 17490, - "Ġnuances": 17491, - "timestamp": 17492, - "iw": 17493, - "Ġwore": 17494, - "gage": 17495, - "ĠPed": 17496, - "Integer": 17497, - "Ġshrubs": 17498, - "cellular": 17499, - "ĠACT": 17500, - "ĠMember": 17501, - "ibles": 17502, - "Ġclause": 17503, - "utable": 17504, - "Course": 17505, - "ĠRow": 17506, - "Ġdecorated": 17507, - "pk": 17508, - "ĠSad": 17509, - "achine": 17510, - "Ġrunoff": 17511, - "Ġculmin": 17512, - "ulous": 17513, - "Ġserum": 17514, - "Ġveterinarian": 17515, - "ithmetic": 17516, - "price": 17517, - "brates": 17518, - "Ġsimplest": 17519, - "Ġflame": 17520, - "Ġshark": 17521, - "Ġdisinf": 17522, - "Ġactor": 17523, - "Ġincub": 17524, - "Ġtermed": 17525, - "Ġpersistence": 17526, - "Ġic": 17527, - "stones": 17528, - "ĠAlcohol": 17529, - "aceous": 17530, - "driver": 17531, - "Ġrepository": 17532, - "ĠCoord": 17533, - "Ġrecreation": 17534, - "Ġyards": 17535, - "ĠChem": 17536, - "Ġvein": 17537, - "Ġpm": 17538, - "ĠIBM": 17539, - "ĠDefault": 17540, - "Ġpersecution": 17541, - "Ġlearns": 17542, - "ĠOccup": 17543, - "nx": 17544, - "ĠCatal": 17545, - "ĠMR": 17546, - "Ġdiffering": 17547, - "Context": 17548, - "odont": 17549, - "Ġcryptocur": 17550, - "Ġheavier": 17551, - "ĠTro": 17552, - "ĠPubl": 17553, - "Ġtouched": 17554, - "ĠConstruction": 17555, - "Modern": 17556, - "Ġsubtract": 17557, - "erred": 17558, - "Ġlamp": 17559, - "Ġbiography": 17560, - 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"ographics": 17611, - "Ġlongevity": 17612, - "ĠHopkins": 17613, - "Ġcarriers": 17614, - "Ġsigning": 17615, - "Ġimmigrant": 17616, - "font": 17617, - "ivated": 17618, - "pleted": 17619, - "Ġpsychologists": 17620, - "Ang": 17621, - "Ġdip": 17622, - "Ġaviation": 17623, - "Ġneedles": 17624, - "Ġreinforced": 17625, - "Ġnoqa": 17626, - "Ġearnings": 17627, - "Ġinformative": 17628, - "Ġub": 17629, - "Ġinternationally": 17630, - "flag": 17631, - "lasting": 17632, - "Ġtended": 17633, - "tuple": 17634, - "Ġelimination": 17635, - "ĠMalaysia": 17636, - "mont": 17637, - "ĠABC": 17638, - "loader": 17639, - "ĠEthiopia": 17640, - "Ġbru": 17641, - "Ġell": 17642, - "scient": 17643, - "ĠThor": 17644, - "ĠForum": 17645, - "Ġexcel": 17646, - "Total": 17647, - "Ġproactive": 17648, - "ĠHyper": 17649, - "Ġcompassionate": 17650, - "ogly": 17651, - "ĠFestival": 17652, - "break": 17653, - "Ġpave": 17654, - "utenant": 17655, - "Enter": 17656, - "mitt": 17657, - "ĠScripture": 17658, - "Ġsealed": 17659, - 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"Ġcompromised": 17711, - "Ġreferen": 17712, - "headed": 17713, - "Ġproportions": 17714, - "organic": 17715, - "heat": 17716, - "Brit": 17717, - "expensive": 17718, - "Ġhect": 17719, - "units": 17720, - "ĠChron": 17721, - "ĠTrail": 17722, - "sections": 17723, - "ediatrics": 17724, - "Ġmonuments": 17725, - "gex": 17726, - "Ġspawn": 17727, - "negative": 17728, - "academia": 17729, - "fc": 17730, - "Ġasteroid": 17731, - "watch": 17732, - "Ġethn": 17733, - "ĠEvaluation": 17734, - "Ġcivilians": 17735, - "ijing": 17736, - "Ġanth": 17737, - "Ġsnipp": 17738, - "Phone": 17739, - "Ġinheritance": 17740, - "ĠIF": 17741, - "ĠSeattle": 17742, - "Ġrhythms": 17743, - "Ġpurchases": 17744, - "Ġdefence": 17745, - "Ġinviting": 17746, - "Ġdetector": 17747, - "Ġedible": 17748, - "Ġsaves": 17749, - "Ġdeclaration": 17750, - "Ġaerial": 17751, - "speaking": 17752, - "ĠVision": 17753, - "Ġexterior": 17754, - "Ġcleans": 17755, - "ĠCPU": 17756, - "thens": 17757, - "Ġsisters": 17758, - "Ġnesting": 17759, - "ĠPick": 17760, - "Ġmanuscripts": 17761, - "otor": 17762, - "Ġ[[": 17763, - "Ġamphib": 17764, - "Ġcontinents": 17765, - "estyles": 17766, - "Ġverbs": 17767, - "ĠStrategy": 17768, - "Ġsubset": 17769, - "Ġcracks": 17770, - "Ġdestroying": 17771, - "quer": 17772, - "Ġfrontier": 17773, - "Ġcritique": 17774, - "ĠLikewise": 17775, - "Ġbubbles": 17776, - "Command": 17777, - "idating": 17778, - "Ġprosec": 17779, - "oi": 17780, - "Ġsticky": 17781, - "ispens": 17782, - "hetical": 17783, - "Ġfeast": 17784, - "storage": 17785, - "itat": 17786, - "Ġdifferentiation": 17787, - "ference": 17788, - "Ġautoimmune": 17789, - "ancers": 17790, - "respons": 17791, - "Ġbites": 17792, - "ĠPalestinian": 17793, - "################################################################": 17794, - "ĠAgainst": 17795, - "ixty": 17796, - "astype": 17797, - "ĠExperience": 17798, - "ĠRobinson": 17799, - "Ġwelding": 17800, - "ĠIsaac": 17801, - "itol": 17802, - "umble": 17803, - "Ġempowering": 17804, - ":.": 17805, - "Parent": 17806, - "Ġincoming": 17807, - "Ġschema": 17808, - "ĠExchange": 17809, - "Ġportfolio": 17810, - "Ġactivism": 17811, - "Ġposterior": 17812, - "Ġhanded": 17813, - "ĠSummary": 17814, - "æĸ": 17815, - "Ġgates": 17816, - "Ġswitches": 17817, - "Ġathlete": 17818, - "ĠAndroid": 17819, - "Ġμ": 17820, - "ĠAntarctica": 17821, - "ĠâĨĴ": 17822, - "Ġindirectly": 17823, - "Ġanemia": 17824, - "ĠBirth": 17825, - "metrics": 17826, - "ĠSN": 17827, - "Ġ\"--": 17828, - "Ġcorrelated": 17829, - "âĢ²": 17830, - "Ġfaithful": 17831, - "Physical": 17832, - "olithic": 17833, - "asi": 17834, - "Ġmeg": 17835, - "Ġenjoyment": 17836, - "Ġtokens": 17837, - "Ġpunish": 17838, - "Ġmicroscopic": 17839, - "Pop": 17840, - "Ġpodcast": 17841, - "és": 17842, - "osexual": 17843, - "Ġrevelation": 17844, - "Ġvoted": 17845, - "ĠCyber": 17846, - "dra": 17847, - "Ġdeveloper": 17848, - "Ġregim": 17849, - "Ġdeserves": 17850, - "ĠSusan": 17851, - "ĠCB": 17852, - "aby": 17853, - "ĠClinic": 17854, - "olis": 17855, - "Ġcsv": 17856, - "Ġhed": 17857, - "pleasant": 17858, - "}}": 17859, - "ulatory": 17860, - "Ġinterplay": 17861, - "around": 17862, - "Ġannoy": 17863, - "án": 17864, - "Pos": 17865, - "ĠFif": 17866, - "Ġremainder": 17867, - "м": 17868, - "ULL": 17869, - "Ġwillingness": 17870, - "ĠBart": 17871, - "Question": 17872, - "Ġjustified": 17873, - "scores": 17874, - "(['": 17875, - "bus": 17876, - "ĠAlg": 17877, - "Content": 17878, - "fires": 17879, - "Ġexh": 17880, - "Ġrespecting": 17881, - "Ġcoordinated": 17882, - "Enc": 17883, - "ĠExam": 17884, - "Ġastronauts": 17885, - "Such": 17886, - "Ġnov": 17887, - "Ġtechnically": 17888, - "idis": 17889, - "Ġconvincing": 17890, - "thirds": 17891, - "Ġ\"__": 17892, - "../": 17893, - "rimental": 17894, - "otte": 17895, - "ĠBaltimore": 17896, - "ĠMonitor": 17897, - "Ġspinning": 17898, - "odus": 17899, - "Ġshowcasing": 17900, - "reset": 17901, - "Ġcompressed": 17902, - "Ġinvalid": 17903, - "Ġcreator": 17904, - "ĠPicture": 17905, - "ĠMort": 17906, - "years": 17907, - "Ġspreads": 17908, - "criptions": 17909, - "Ġreinforcing": 17910, - "Pass": 17911, - "vest": 17912, - "Ġalliance": 17913, - "Ġendurance": 17914, - "Ġlovely": 17915, - "ĠFoods": 17916, - "Ġencouragement": 17917, - "ĠBelgium": 17918, - "ateur": 17919, - "Ġtrajectory": 17920, - "Examples": 17921, - "Ġdifferentiate": 17922, - "Ġpetroleum": 17923, - "Ġcandy": 17924, - "hill": 17925, - "Ġsickness": 17926, - "elli": 17927, - "Ġproving": 17928, - "Ġhappier": 17929, - "ĠApplied": 17930, - "ollen": 17931, - "member": 17932, - "ĠML": 17933, - "Ġcommitments": 17934, - "Ġtravelers": 17935, - "Arch": 17936, - "Ġincomplete": 17937, - "Ġfastest": 17938, - "tar": 17939, - "Ġsuccession": 17940, - "ĠIndividuals": 17941, - "Ġwoven": 17942, - "Ġvariance": 17943, - "Ġimpose": 17944, - "Ġemitted": 17945, - "Ġgem": 17946, - "aky": 17947, - "Ġdecimal": 17948, - "helial": 17949, - "actly": 17950, - "ĠVacc": 17951, - "ĠCommunications": 17952, - "Ġschizophrenia": 17953, - "Ġescaped": 17954, - "Ġdissertation": 17955, - "Ġbacks": 17956, - "Ġspirituality": 17957, - "ĠMoz": 17958, - "ribing": 17959, - "Exp": 17960, - "ĠPopular": 17961, - "environment": 17962, - "ĠConversely": 17963, - "ELECT": 17964, - "ĠRoberts": 17965, - "Ġvet": 17966, - "Ġhex": 17967, - "Ġfinishing": 17968, - "ĠChallenge": 17969, - "Ġpainter": 17970, - "Ġling": 17971, - "Ġfluoride": 17972, - "Ġaccounted": 17973, - "Ġbronze": 17974, - "ĠDeg": 17975, - "opause": 17976, - "ĠLen": 17977, - "Ġdominance": 17978, - "Article": 17979, - "cuda": 17980, - "ĠSin": 17981, - "Ġpositioned": 17982, - "without": 17983, - "Ġ{}\".": 17984, - "before": 17985, - "Ġgotten": 17986, - "Ġrecordings": 17987, - "ratulations": 17988, - "Ġcontinental": 17989, - "Ġcollision": 17990, - "Ġbunch": 17991, - "arin": 17992, - "Ġcalculator": 17993, - "Ġassisted": 17994, - "ĠIR": 17995, - "__,": 17996, - "Ġimbalance": 17997, - "semin": 17998, - "erers": 17999, - "Resource": 18000, - "Ġchord": 18001, - "rett": 18002, - "ĠLam": 18003, - "Ġunrest": 18004, - "Ġwithstand": 18005, - "ĠImportant": 18006, - "Ġconserve": 18007, - "ucing": 18008, - "comed": 18009, - "Ġsket": 18010, - "Ġmaritime": 18011, - "Ġpositioning": 18012, - "ĠVarious": 18013, - "Ġthreaten": 18014, - "rene": 18015, - "bola": 18016, - "Ġuncovered": 18017, - "ĠTun": 18018, - "Ġgraduates": 18019, - "Ġconsulting": 18020, - "Ġreminds": 18021, - "Ġmerit": 18022, - "Ġparallels": 18023, - "Additional": 18024, - "variable": 18025, - "ĠEngaging": 18026, - "October": 18027, - "_(": 18028, - "Ġelegant": 18029, - "Ġlad": 18030, - "ĠSierra": 18031, - "ĠUSB": 18032, - "Ġlandmark": 18033, - "wick": 18034, - "wikipedia": 18035, - "Ġcolleague": 18036, - "Ġpromptly": 18037, - "Ġruins": 18038, - "rev": 18039, - "Ġarbitrary": 18040, - "program": 18041, - "ĠBeaut": 18042, - "Service": 18043, - "Ġgrateful": 18044, - "filled": 18045, - "Ġchi": 18046, - "ĠStyle": 18047, - "Ġ((": 18048, - "ĠEra": 18049, - "ycle": 18050, - "Ġvolcano": 18051, - "rob": 18052, - "resolution": 18053, - "ĠVeget": 18054, - "ĠCris": 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"oro": 18105, - "Ġcoefficient": 18106, - "Ġmedi": 18107, - "Ġdisparate": 18108, - "Ġtheft": 18109, - "Ġawards": 18110, - "Ġprophet": 18111, - "Ġlibert": 18112, - "umm": 18113, - "Ġremembering": 18114, - "ĠIM": 18115, - "ĠIg": 18116, - "Ġairplane": 18117, - "ĠPale": 18118, - "ĠBreak": 18119, - "Ġbasketball": 18120, - "Ġexclude": 18121, - "annah": 18122, - "Ġremot": 18123, - "Ġliberation": 18124, - "ĠObservatory": 18125, - "ĠLith": 18126, - "ĠConstant": 18127, - ">,": 18128, - "Ġvisc": 18129, - "Ġindispens": 18130, - "Ġmushrooms": 18131, - "]+": 18132, - "lyn": 18133, - "Ġunrelated": 18134, - "Ġquarters": 18135, - "ĠContinue": 18136, - "Ġwavelength": 18137, - "ĠLate": 18138, - "Ġlegends": 18139, - "media": 18140, - "Ġpsychiatric": 18141, - "Ġlawsu": 18142, - "Ġbonding": 18143, - "uba": 18144, - "ĠReligious": 18145, - "Ġcelestial": 18146, - "otics": 18147, - "Ġthunder": 18148, - "Ġpopulated": 18149, - "icrobial": 18150, - "UB": 18151, - "Ġhurd": 18152, - "Ġresin": 18153, - "lr": 18154, - "ÃŃa": 18155, - "Ġaccumulate": 18156, - "Ġqueue": 18157, - "Ġintentional": 18158, - "ĠBatt": 18159, - "ĠPalace": 18160, - "Ġcatastrophic": 18161, - "Serial": 18162, - "ĠHPV": 18163, - "Ġabbre": 18164, - "ilage": 18165, - "Ġrisky": 18166, - "Ġsafeguard": 18167, - "Ġfacilitates": 18168, - "frac": 18169, - "Ġfasting": 18170, - "ĠSteve": 18171, - "ĠBY": 18172, - "Ġmirrors": 18173, - "utation": 18174, - "hyth": 18175, - "ĠColumbus": 18176, - "Press": 18177, - "Ġbent": 18178, - "chy": 18179, - "Ġdressed": 18180, - "idency": 18181, - "ĠAnthony": 18182, - "Ġemergencies": 18183, - "ocrine": 18184, - "Ġspokes": 18185, - "ĠPerm": 18186, - "ĠHarris": 18187, - "pick": 18188, - "Ġtranslations": 18189, - "Ġtones": 18190, - "ploys": 18191, - "Ġwip": 18192, - "Ġnm": 18193, - "ĠHyp": 18194, - "Ġrestoring": 18195, - "Ġaccumulated": 18196, - "erican": 18197, - "Ġaccomplishments": 18198, - "ĠAlternatively": 18199, - "ĠWelsh": 18200, - "utt": 18201, - "Ġspecifications": 18202, - "dit": 18203, - "ĠBurn": 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"ĠComplete": 18254, - "Ġpassions": 18255, - "ĠLetters": 18256, - "inical": 18257, - "Ġgloss": 18258, - "ĠInvestig": 18259, - "Ġdelightful": 18260, - "Ġprojection": 18261, - "ĠAfricans": 18262, - "ivo": 18263, - "occup": 18264, - "æķ°": 18265, - "Ġleisure": 18266, - "artha": 18267, - "lad": 18268, - "ĠDanish": 18269, - "Ġundergoing": 18270, - "Ġcoalition": 18271, - "buffer": 18272, - "ĠEld": 18273, - "Ġqualify": 18274, - "Ġtransistors": 18275, - "è¿": 18276, - "Gs": 18277, - "Å«": 18278, - "ĠSent": 18279, - "Ġads": 18280, - "__)": 18281, - "Ġteamwork": 18282, - "ĠDesert": 18283, - "Ġgarbage": 18284, - "ĠForces": 18285, - "Ġparenting": 18286, - "Ġquestioned": 18287, - "ĠEnsure": 18288, - "las": 18289, - "binary": 18290, - "ĠPle": 18291, - "}'": 18292, - "ĠKid": 18293, - "Ġlithium": 18294, - "Ġfeared": 18295, - "Ġspanning": 18296, - "inctions": 18297, - "ochemistry": 18298, - "PER": 18299, - "ructions": 18300, - "Ġchromosomes": 18301, - "cpu": 18302, - "Ġhitting": 18303, - "Ġdefinitive": 18304, - "Ġdub": 18305, - "Ġformulas": 18306, - "Ġtimeless": 18307, - "ĠIncreased": 18308, - "EXT": 18309, - "å®": 18310, - "uffle": 18311, - "ĠPsychological": 18312, - "osaic": 18313, - "Ġequip": 18314, - "Ġimproper": 18315, - "ĠAlmost": 18316, - "Ġaccessing": 18317, - "ĠCommunities": 18318, - "icus": 18319, - "Contact": 18320, - "ĠPand": 18321, - "ĠThinking": 18322, - "Ġkindergarten": 18323, - "ĠInnovation": 18324, - "Ġvoc": 18325, - "Ġrotating": 18326, - "compat": 18327, - "Ġobey": 18328, - "__()": 18329, - "Ġphysiology": 18330, - "swith": 18331, - "Ġultra": 18332, - ".**": 18333, - ".[": 18334, - "NC": 18335, - "Ġ'_": 18336, - "ĠNepal": 18337, - "Ġwedding": 18338, - "Ġgrinding": 18339, - "Ġamend": 18340, - "Ġbrack": 18341, - "ĠKeeping": 18342, - "osterone": 18343, - "Ġpdf": 18344, - "Ġchickens": 18345, - "Ġyogurt": 18346, - "summary": 18347, - "Ġsteadily": 18348, - "Jew": 18349, - "Ġcomprising": 18350, - "Ġcongress": 18351, - "icularly": 18352, - "Ġsecretary": 18353, - "Ġgenerous": 18354, - "Ġgolf": 18355, - "optional": 18356, - "Ġmate": 18357, - "environ": 18358, - "isers": 18359, - "Ġpolyn": 18360, - "Ġrated": 18361, - "Ġaccountable": 18362, - "Ġvulnerabilities": 18363, - "raviolet": 18364, - "NASA": 18365, - "Ġtours": 18366, - "hex": 18367, - "Ġamendment": 18368, - "ĠIL": 18369, - "ockey": 18370, - "Ġhelic": 18371, - "ĠBerg": 18372, - "Ġstudio": 18373, - "Ġeruption": 18374, - "Ġfabrics": 18375, - "Ġtran": 18376, - "Ġerupt": 18377, - "ĠEngineers": 18378, - "ĠVar": 18379, - "./": 18380, - "Ġrobotic": 18381, - "correct": 18382, - "ĠBrief": 18383, - "Ġinvestigators": 18384, - "ĠSW": 18385, - "ĠDh": 18386, - "Ġimplants": 18387, - "Ġrepetition": 18388, - "astical": 18389, - "ĠLeadership": 18390, - "ĠXML": 18391, - "Ġconsequently": 18392, - "Ġpreceding": 18393, - "liness": 18394, - "Ġ\"-": 18395, - "Ġasyn": 18396, - "Ġunh": 18397, - "Ġuphold": 18398, - "Ġturbine": 18399, - "Ġyesterday": 18400, - "Ġteasp": 18401, - "ĠArkansas": 18402, - "System": 18403, - "Ġscaling": 18404, - "Ġinherently": 18405, - "ĠReports": 18406, - "Ġsprings": 18407, - "Ñĭ": 18408, - "published": 18409, - "Ġstance": 18410, - "ĠFab": 18411, - "orting": 18412, - "Ġrealities": 18413, - "prising": 18414, - "Ġrealism": 18415, - "Ġresponsive": 18416, - "ĠOrigins": 18417, - "Ġtwin": 18418, - "Ġtranslates": 18419, - "Ġcomprise": 18420, - "Ġworm": 18421, - "anyon": 18422, - "Ġperfection": 18423, - "Ġreviewers": 18424, - "Ġepile": 18425, - "Ġhurricane": 18426, - "ĠTar": 18427, - "ĠAddress": 18428, - "Ġdisplaying": 18429, - "Ġforgiveness": 18430, - "many": 18431, - "ilk": 18432, - "emade": 18433, - ")+": 18434, - "Ġtin": 18435, - "ĠSeven": 18436, - "safe": 18437, - "Ġaccelerated": 18438, - "Ġscared": 18439, - "Ġeditorial": 18440, - "Ġwrist": 18441, - "Ġunpleasant": 18442, - "Core": 18443, - "Ġesoph": 18444, - "ĠNAT": 18445, - "Ġapparatus": 18446, - "ĠGate": 18447, - "dup": 18448, - "pix": 18449, - "ctory": 18450, - "ĠFROM": 18451, - "ĠChris": 18452, - "heim": 18453, - "Description": 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"ĠArtificial": 18600, - "Ġì": 18601, - "Ġcentr": 18602, - "Ġpsychologist": 18603, - "Ġradicals": 18604, - "kn": 18605, - "Ġrope": 18606, - "ĠTransportation": 18607, - "Ġonions": 18608, - "ĠOral": 18609, - "ĠInternal": 18610, - "Ġpilots": 18611, - "ĠAvenue": 18612, - "Ġclinicians": 18613, - "å¤": 18614, - "stick": 18615, - "Ġparasite": 18616, - "Ġciting": 18617, - "Ġdeposited": 18618, - "Ġfloors": 18619, - "ĠNam": 18620, - "Block": 18621, - "plication": 18622, - "ĠClinton": 18623, - "ÏĤ": 18624, - "colors": 18625, - "Ġethanol": 18626, - "degree": 18627, - "Ġsmiled": 18628, - "White": 18629, - "ĠLA": 18630, - "Ġpancreat": 18631, - "Ġinexpensive": 18632, - "ĠYang": 18633, - "Ġstrengthens": 18634, - "Ġlifespan": 18635, - "Ġenergies": 18636, - "oic": 18637, - "Ġdigits": 18638, - "Ġvaccinated": 18639, - "Instead": 18640, - "Ġgenius": 18641, - "Ġnails": 18642, - "Ġclinics": 18643, - "ĠSuppose": 18644, - "ä½": 18645, - "Ġthirst": 18646, - "carbon": 18647, - "Ġcarrots": 18648, - "Ġinhabited": 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"Almost": 18700, - "ĠIllust": 18701, - "Ġobscure": 18702, - "ogeneous": 18703, - "Ġprobable": 18704, - "Ġpursued": 18705, - "Ġcoherent": 18706, - "ĠPriv": 18707, - "ÏĢ": 18708, - "ĠArticles": 18709, - "ĠTip": 18710, - "ĠRailroad": 18711, - "Ġlubric": 18712, - "Bs": 18713, - "ĠSubst": 18714, - "Ġactivist": 18715, - "Ġproportional": 18716, - "Ġcigarette": 18717, - "ĠDiversity": 18718, - "pection": 18719, - "Ġpottery": 18720, - "Ġhorror": 18721, - "ĠSubject": 18722, - "Ġcleared": 18723, - "Ġneglected": 18724, - "Design": 18725, - "Ġnationalism": 18726, - "hou": 18727, - "Published": 18728, - "Ġward": 18729, - "Ġworkout": 18730, - "Ġrepeating": 18731, - "Ġconfidently": 18732, - "Ġdeceased": 18733, - "ften": 18734, - "ĠMorgan": 18735, - "ür": 18736, - "ean": 18737, - "ĠLanka": 18738, - "Prim": 18739, - "Ġsewage": 18740, - "Ġcompetent": 18741, - "ĠJuan": 18742, - "Ġcorporation": 18743, - "Ġ[-": 18744, - "Ġevaluations": 18745, - "ĠJos": 18746, - "Ġbelly": 18747, - "Ġsusceptibility": 18748, - 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"verbal": 19450, - "ificance": 19451, - "Ġcredited": 19452, - "Ġfellows": 19453, - "gone": 19454, - "ĠNavigating": 19455, - "oS": 19456, - "ĠAdjust": 19457, - "Ġhoused": 19458, - "Ġowing": 19459, - "Ġanonymous": 19460, - "Ġhonour": 19461, - "ĠEncouraging": 19462, - "dings": 19463, - "Ġgospel": 19464, - "essed": 19465, - "ĠFamilies": 19466, - "rators": 19467, - "Ġseals": 19468, - "Ġupwards": 19469, - "ĠHealthcare": 19470, - "ĠUkrain": 19471, - "Ġfirsthand": 19472, - "Ġobservers": 19473, - "Ġsupreme": 19474, - "kill": 19475, - "ĠPapers": 19476, - "growth": 19477, - "ĠMade": 19478, - "Ġnonfiction": 19479, - "cott": 19480, - "ĠWol": 19481, - "assed": 19482, - "Ġsuccessive": 19483, - "Ġconcise": 19484, - "Ġsuspension": 19485, - "arange": 19486, - "uder": 19487, - "dump": 19488, - "frames": 19489, - "ĠMis": 19490, - "Ġsupplementation": 19491, - "Ġnaming": 19492, - "ĠGenetic": 19493, - "Ġfragment": 19494, - "geo": 19495, - "oske": 19496, - "Ġperv": 19497, - "ĠNorwegian": 19498, - 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23221, - "ĠMiami": 23222, - "Ġeps": 23223, - "Ġappre": 23224, - "Ġchairman": 23225, - "bishop": 23226, - "âĨ": 23227, - "iculture": 23228, - "balanced": 23229, - "aton": 23230, - "ĠPradesh": 23231, - "urer": 23232, - "rigger": 23233, - "ĠNT": 23234, - "Ġprecursor": 23235, - "nee": 23236, - "Ġnonetheless": 23237, - "ĠNeeds": 23238, - "unittest": 23239, - "ĠDys": 23240, - "ĠVit": 23241, - "Ġoffenders": 23242, - "prev": 23243, - "ĠSteven": 23244, - "Ġshuttle": 23245, - "Ġphysicists": 23246, - "Ġpant": 23247, - "Ġreminiscent": 23248, - "Ġtenth": 23249, - "Ġauction": 23250, - "Ġmonster": 23251, - "Ġoriginating": 23252, - "Ġconcentrating": 23253, - "lia": 23254, - "Ġcomposting": 23255, - "Ġgraphene": 23256, - "lycer": 23257, - "Ġspecifies": 23258, - "ĠExpect": 23259, - "Optional": 23260, - "Ġimprisonment": 23261, - "Ġprepares": 23262, - "Ġnicely": 23263, - "Ġtorque": 23264, - "ĠCambodia": 23265, - "lasses": 23266, - "Ox": 23267, - "Ġanalysed": 23268, - "Ġexceeding": 23269, - "Ġeruptions": 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"ĠLancet": 26352, - "uously": 26353, - "ĠLux": 26354, - "Ġquarant": 26355, - "Ġdemise": 26356, - "ĠPod": 26357, - "ĠAlgebra": 26358, - "Ġcracking": 26359, - "Ġattachments": 26360, - "official": 26361, - "Ġirreversible": 26362, - "oped": 26363, - "ère": 26364, - "Ġhath": 26365, - "vered": 26366, - "formal": 26367, - "Ġexcavated": 26368, - "later": 26369, - "ĠVlad": 26370, - "ĠImam": 26371, - "Ġboarding": 26372, - "ĠSocialist": 26373, - "Ġliabilities": 26374, - "Ġsubgen": 26375, - "Ġcrabs": 26376, - "ĠInteractive": 26377, - "ĠSpeaking": 26378, - "protocol": 26379, - "Focus": 26380, - "Ġspills": 26381, - "identified": 26382, - "ĠAuton": 26383, - "Ġinsignificant": 26384, - "City": 26385, - "wx": 26386, - "¢": 26387, - "Ġbrightly": 26388, - "Ġrestart": 26389, - "Ġtroubled": 26390, - "Ġhonors": 26391, - "hov": 26392, - "Ġbizarre": 26393, - "idates": 26394, - "ĠRy": 26395, - "INTER": 26396, - "Ġtoug": 26397, - "ĠHabitat": 26398, - "ĠProbably": 26399, - "Ġreclaim": 26400, - "raz": 26401, - 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"raisal": 26503, - "ĠMakes": 26504, - "Ġdepended": 26505, - "Ġinitialize": 26506, - "ĠObst": 26507, - "ĠEnterprise": 26508, - "ĠJur": 26509, - "Ġrapp": 26510, - "Ġbreadth": 26511, - "lining": 26512, - "Ġinactive": 26513, - "ĠOdys": 26514, - "ĠRunning": 26515, - "Ġdias": 26516, - "playing": 26517, - "Ġplugin": 26518, - "æł": 26519, - "Ġdeed": 26520, - "ĠShell": 26521, - "tax": 26522, - "Ġmiracul": 26523, - "Need": 26524, - "linalg": 26525, - "ouched": 26526, - "need": 26527, - "Ġparticulate": 26528, - "productive": 26529, - "ĠSpringer": 26530, - "ĠPharmac": 26531, - "Ca": 26532, - "Give": 26533, - "Ġdyst": 26534, - "ĠTopic": 26535, - "soil": 26536, - "Ġdirecting": 26537, - "Ġglowing": 26538, - "Ġcaterpillars": 26539, - "strings": 26540, - "ĠAttention": 26541, - "Ġseller": 26542, - "Ġembedding": 26543, - "Ġinconven": 26544, - "ĠGilbert": 26545, - "templ": 26546, - "ë": 26547, - "Ġery": 26548, - "Ġinception": 26549, - "ogh": 26550, - "Ġscav": 26551, - "Ġdengue": 26552, - "Ġsurrounds": 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"integration": 26653, - "Ġcousins": 26654, - "pit": 26655, - "Ġjeopard": 26656, - "Ġpeasant": 26657, - "ĠMAT": 26658, - "plasia": 26659, - "Prog": 26660, - "Ġpitfalls": 26661, - "ogeneity": 26662, - "iman": 26663, - "Ġstuffed": 26664, - "ĠMapping": 26665, - "ĠOCD": 26666, - "liable": 26667, - "Ġrestricting": 26668, - "Ġdisrupting": 26669, - "Bad": 26670, - "ĠEdmund": 26671, - "ĠDrop": 26672, - "Ġprefers": 26673, - "ĠInfection": 26674, - "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 26675, - "Sarah": 26676, - "Ġgenerosity": 26677, - "locations": 26678, - "Ġpalms": 26679, - "aggering": 26680, - "cook": 26681, - "ĠAffect": 26682, - "Ġplaster": 26683, - "ĠRobin": 26684, - "ĠNormally": 26685, - "Ġcounteract": 26686, - "Schema": 26687, - "Tip": 26688, - "Ġrealms": 26689, - "ushima": 26690, - "Ġrepeats": 26691, - "Native": 26692, - "Ġwithdrawn": 26693, - "Ġmicron": 26694, - "];": 26695, - "Ġmustard": 26696, - "º": 26697, - "ĠSmoking": 26698, - "Ġglyc": 26699, - 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"ĠCorrect": 26800, - "Ġimmersed": 26801, - "does": 26802, - "imshow": 26803, - "Ġspam": 26804, - "ĠKB": 26805, - "Ġairflow": 26806, - "ĠIDE": 26807, - "Ġpertains": 26808, - "Ġgrav": 26809, - "Ġsupplemental": 26810, - "allowed": 26811, - "ĠComponents": 26812, - "Ġaided": 26813, - "Ġoath": 26814, - "Ġhues": 26815, - "ĠAlger": 26816, - "Ġbrushes": 26817, - "Ġibn": 26818, - "ĠCONDITIONS": 26819, - "Ġsi": 26820, - "ĠGust": 26821, - "]|": 26822, - "asus": 26823, - "ĠMall": 26824, - "Ġprisons": 26825, - "MES": 26826, - "Ġexcluding": 26827, - "abling": 26828, - "acillus": 26829, - "ĠBO": 26830, - "posite": 26831, - "Ġtransformer": 26832, - "Ġrewarded": 26833, - "Benefits": 26834, - "á½": 26835, - "arner": 26836, - "Ġbooster": 26837, - "Ġnickname": 26838, - "Left": 26839, - "etz": 26840, - "ĠOUT": 26841, - "Ġconserved": 26842, - "Hi": 26843, - "nament": 26844, - "Ġchin": 26845, - "byte": 26846, - "ĠMonument": 26847, - "Compar": 26848, - "ĠCapitol": 26849, - "Ġalgebraic": 26850, - "itian": 26851, - "ĠInclude": 26852, - "Ġfarmland": 26853, - "osphate": 26854, - "Ġtowels": 26855, - "ĠPalestinians": 26856, - "ĠYellowstone": 26857, - "Ġnemat": 26858, - "Ġdisclose": 26859, - "Ġcircumstance": 26860, - "America": 26861, - "Ġsyllables": 26862, - "Mex": 26863, - "arist": 26864, - "endpoint": 26865, - "ĠGraduate": 26866, - "Ġventures": 26867, - "Meet": 26868, - "directed": 26869, - "Ġrefreshing": 26870, - "andel": 26871, - "assy": 26872, - "ĠVes": 26873, - "etyl": 26874, - "ĠPCB": 26875, - "Ġilluminating": 26876, - "ingling": 26877, - "ĠMM": 26878, - "ĠFant": 26879, - "Ġdrums": 26880, - "Ġcysts": 26881, - "ĠBlake": 26882, - "ĠDrink": 26883, - "Ġmixtures": 26884, - "Ġspelled": 26885, - "ĊĊĊĠĠĠĠĠĠĠ": 26886, - "Ġshareholders": 26887, - "Vector": 26888, - "Ġquart": 26889, - "ĠLeaders": 26890, - "anism": 26891, - "Ġantit": 26892, - "Ġfrontal": 26893, - "Ġwiki": 26894, - "Ġdecolon": 26895, - "Ġvisuals": 26896, - "ĠCollections": 26897, - "Gal": 26898, - "pipe": 26899, - "yrin": 26900, - "Ġsmoother": 26901, - ")')": 26902, - "Email": 26903, - "Finding": 26904, - "ĠMold": 26905, - "Ġcohesive": 26906, - "ĠGenome": 26907, - "Ġmanifested": 26908, - "Ġsuspects": 26909, - "Calcul": 26910, - "Ġrefinement": 26911, - "Ġstray": 26912, - "()):": 26913, - "accessible": 26914, - "ĠTheodore": 26915, - "linspace": 26916, - "raines": 26917, - "ĠMira": 26918, - "floor": 26919, - "Ġdrafting": 26920, - "Ġcuring": 26921, - "arate": 26922, - "akening": 26923, - "Ġradically": 26924, - "Ċĉĉĉĉĉĉĉĉĉĉ": 26925, - "Xiv": 26926, - "Ġencountering": 26927, - "ugged": 26928, - "actively": 26929, - "incinn": 26930, - "Ġseawater": 26931, - "asgow": 26932, - "dry": 26933, - "umbs": 26934, - "updated": 26935, - "Ġdescending": 26936, - "Ġeconomist": 26937, - "Ġtermination": 26938, - "Ġlaborers": 26939, - "ĠFran": 26940, - "Ġnested": 26941, - "Ġgrit": 26942, - "Ġhen": 26943, - "Ġartific": 26944, - "Ġtranscends": 26945, - "Ġneatly": 26946, - "Ġcanonical": 26947, - "oing": 26948, - "Ġmorb": 26949, - "Ġdyslexia": 26950, - "个": 26951, - "Ġdisparity": 26952, - "uling": 26953, - "Ġpermiss": 26954, - "ĠDomain": 26955, - "ĠDiagnosis": 26956, - "Ġplateau": 26957, - "ĠNeuroscience": 26958, - "arers": 26959, - "ĠTrack": 26960, - "oseph": 26961, - "Parameters": 26962, - "Ġutterly": 26963, - "Ġpatented": 26964, - "Ġlice": 26965, - "Previous": 26966, - "Ġtracts": 26967, - "nem": 26968, - "Ġum": 26969, - "Ġpatriot": 26970, - "ĠGabriel": 26971, - "jug": 26972, - "Ġharmonic": 26973, - "Ġhalfway": 26974, - "Ġbake": 26975, - "omp": 26976, - "Ġmediated": 26977, - "Ġassociates": 26978, - "Ġscriptures": 26979, - "ĠAdventure": 26980, - "ĠKrishna": 26981, - "marg": 26982, - "Ġugly": 26983, - "ĠCraig": 26984, - "Person": 26985, - "å°": 26986, - "Ġdaring": 26987, - "staff": 26988, - "Ġseize": 26989, - "ĠNegative": 26990, - "Ġavocado": 26991, - "ĠAppendix": 26992, - "Ġfreshly": 26993, - "Ġcatastrophe": 26994, - "Ġreferend": 26995, - "Ġspells": 26996, - "ophone": 26997, - "runner": 26998, - "Far": 26999, - "osin": 27000, - "ĠWald": 27001, - "ĠRwanda": 27002, - "Ġjumps": 27003, - "Ġresistor": 27004, - "Ġmountainous": 27005, - "ĠChang": 27006, - "Prob": 27007, - "Ġbureauc": 27008, - "Ġsine": 27009, - "placed": 27010, - "ि": 27011, - "GF": 27012, - "Germ": 27013, - "acl": 27014, - "iban": 27015, - "Ġjars": 27016, - "Inv": 27017, - "paramet": 27018, - "Ġfamiliarize": 27019, - "ĠBASIS": 27020, - "verter": 27021, - "perhaps": 27022, - "Ġrenewables": 27023, - "ĠInfluence": 27024, - "Sen": 27025, - "iteration": 27026, - "Ġconsumes": 27027, - "ĠMuscle": 27028, - "ĠFeeling": 27029, - "Ġcue": 27030, - "Ġblends": 27031, - "oxins": 27032, - "Ġmandated": 27033, - "osome": 27034, - "holding": 27035, - "Ġarranging": 27036, - "Arthur": 27037, - "ĠProcesses": 27038, - "ERSION": 27039, - "...,": 27040, - "letters": 27041, - "ĠEmpower": 27042, - "ĠEfficiency": 27043, - "Ġdisposition": 27044, - "ronts": 27045, - "Ġgenders": 27046, - "rapeutic": 27047, - "thinking": 27048, - "aclass": 27049, - "Ġturnover": 27050, - "ĠSacred": 27051, - "Mill": 27052, - "WD": 27053, - "Ã¥": 27054, - "Ġranc": 27055, - "Ġanatomical": 27056, - "wire": 27057, - "ĠCul": 27058, - "Ġreliably": 27059, - "Ġamen": 27060, - "endswith": 27061, - "Ġkale": 27062, - "Ġreadable": 27063, - "guided": 27064, - "ĠFul": 27065, - "maybe": 27066, - "Ġtilt": 27067, - "Ġoranges": 27068, - "ĠStars": 27069, - "Ġinitiating": 27070, - "Ġlingering": 27071, - "ucaly": 27072, - "Ġobjection": 27073, - "assertIs": 27074, - "Ġintrospection": 27075, - "ĠCarr": 27076, - "photo": 27077, - "Ġdiffuse": 27078, - "Ġdepiction": 27079, - "chip": 27080, - "Ġsting": 27081, - "ĠSax": 27082, - "acic": 27083, - "ĠKepler": 27084, - "ABILITY": 27085, - "Ġintimidating": 27086, - "Ġsuperheroes": 27087, - "Ġaccredited": 27088, - "Ġtheat": 27089, - "Ġavian": 27090, - "ischer": 27091, - "ĠAttorney": 27092, - "ĠMunich": 27093, - "ipelago": 27094, - "ĠOste": 27095, - "Ġseminars": 27096, - "flatten": 27097, - "âĹı": 27098, - "bred": 27099, - "bows": 27100, - "ĠCopenhagen": 27101, - "resa": 27102, - "Ġevergreen": 27103, - "Ġpronouns": 27104, - "Ġechoes": 27105, - "ĠIan": 27106, - "Ġprosecution": 27107, - "ĠHaven": 27108, - "Ġauthorization": 27109, - "Ġterminals": 27110, - "Ġpolyg": 27111, - "Ġartifact": 27112, - "Ġadhesion": 27113, - "CRE": 27114, - "ĠPediatric": 27115, - "traumatic": 27116, - "ĠCBT": 27117, - "asha": 27118, - "ĠPlat": 27119, - "Ġdisciplinary": 27120, - "Ġalteration": 27121, - "ĠSandy": 27122, - "adows": 27123, - "Ġvicious": 27124, - "ĠUI": 27125, - "Ġconstrained": 27126, - "Ġimb": 27127, - "Ġpreaching": 27128, - "impact": 27129, - "Ġprogen": 27130, - "shared": 27131, - "Ġcracked": 27132, - "Books": 27133, - "awk": 27134, - "Exercise": 27135, - "BU": 27136, - "Remove": 27137, - "Ġneuronal": 27138, - "ĠScriptures": 27139, - "Japanese": 27140, - "ï¬ģ": 27141, - "Sep": 27142, - "atology": 27143, - "Ġreap": 27144, - "Ġ()": 27145, - "Ġjur": 27146, - "Ġdowns": 27147, - "Price": 27148, - "ĠSV": 27149, - "Ġperce": 27150, - 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29872, - "Ġrevisit": 29873, - "bag": 29874, - "dic": 29875, - "Ġhides": 29876, - "Ġthromb": 29877, - "ipot": 29878, - "veniles": 29879, - "Ġviolin": 29880, - "amburg": 29881, - "ĠMemphis": 29882, - "lv": 29883, - "ĠDS": 29884, - "Ġtrimes": 29885, - "Ġprecaution": 29886, - "Values": 29887, - "Ġuterine": 29888, - "Ġtetra": 29889, - "Ġmarshes": 29890, - "Ġgru": 29891, - "Ġcaption": 29892, - "ĠComing": 29893, - "Ġfireworks": 29894, - "ĠSOFTWARE": 29895, - "Ġattributable": 29896, - "istries": 29897, - "Ġpitu": 29898, - "Ġrevolves": 29899, - "ĠConservative": 29900, - "ĠAe": 29901, - "ĠCer": 29902, - "Ġemblem": 29903, - "Ġthinning": 29904, - "Ġfountain": 29905, - "aksh": 29906, - "ĠBlind": 29907, - "ĠSquad": 29908, - "Ġarte": 29909, - "uttering": 29910, - "Ġantigens": 29911, - "sid": 29912, - "otoxic": 29913, - "ĠLav": 29914, - "ĠGlac": 29915, - "Ġguessing": 29916, - "ãĢģ": 29917, - "ĠPictures": 29918, - "Rele": 29919, - "ĠWiki": 29920, - "arynge": 29921, - "listdir": 29922, - "Ġbleach": 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"Diet": 30272, - "ζ": 30273, - "roly": 30274, - "Ġperfor": 30275, - "metal": 30276, - "ĠSlave": 30277, - "Ġgracefully": 30278, - "Ġneurotransmitters": 30279, - "ĠCin": 30280, - "geometry": 30281, - "ogas": 30282, - "Ġsunk": 30283, - "ĠSerge": 30284, - "ĠKenneth": 30285, - "ĠDuncan": 30286, - "Ġmisconduct": 30287, - "near": 30288, - "ĠNu": 30289, - "Ġplac": 30290, - "Ġsmiling": 30291, - "filtered": 30292, - "Ġpersuaded": 30293, - "Ġgrooming": 30294, - "Ġicy": 30295, - "ĠPrel": 30296, - "ĠDy": 30297, - ".....": 30298, - "ERN": 30299, - "Ray": 30300, - "Ġincision": 30301, - "Ġdirects": 30302, - "Ġnarrowing": 30303, - "Ġdesperately": 30304, - "mort": 30305, - "orean": 30306, - "Ġinvoked": 30307, - "ĠShop": 30308, - "Ġeldest": 30309, - "Earl": 30310, - "agara": 30311, - "Ġimprint": 30312, - "Ġxen": 30313, - "čĊčĊĠĠĠĠĠĠĠĠĠĠĠ": 30314, - "ĠBrooks": 30315, - "MODEL": 30316, - "Typ": 30317, - "kov": 30318, - "abetics": 30319, - "Ġmoods": 30320, - "ĠMeditation": 30321, - "Ġobservance": 30322, - 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"HOST": 30373, - "Ġimprovis": 30374, - "Ġdevastation": 30375, - "Points": 30376, - "Ġenlightened": 30377, - "another": 30378, - "ĠTale": 30379, - "Ġliters": 30380, - "rhosis": 30381, - "Ġ(~": 30382, - "COMP": 30383, - "rotation": 30384, - "igmatic": 30385, - "Feeling": 30386, - "ĠIntroducing": 30387, - "san": 30388, - "virus": 30389, - "Ġtempted": 30390, - "IntegerField": 30391, - "NOTE": 30392, - "KD": 30393, - "dynamic": 30394, - "Ö¸": 30395, - "ĠIcon": 30396, - "cycles": 30397, - "Ġsimmer": 30398, - "ĠCalif": 30399, - "Ġspotting": 30400, - "Ġcentrifug": 30401, - "Ġhelpers": 30402, - "HOW": 30403, - "multiple": 30404, - "ĠRebellion": 30405, - "Greek": 30406, - "LT": 30407, - "ĠSou": 30408, - "Ġexternally": 30409, - "ĠBacon": 30410, - "Ġclone": 30411, - "omencl": 30412, - "ĠBlockchain": 30413, - "ascii": 30414, - "ĠLact": 30415, - "achy": 30416, - "ĠRespond": 30417, - "ĠMint": 30418, - "Ġhyperactivity": 30419, - "Neuro": 30420, - "ĠSEO": 30421, - "Ġrivalry": 30422, - "WHAT": 30423, - 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30571, - "Ġlibrarians": 30572, - "Ġreplica": 30573, - "Tex": 30574, - "solution": 30575, - "('_": 30576, - "ĠResilience": 30577, - "ĠPhone": 30578, - "Ġfurnished": 30579, - "predictions": 30580, - "à¥ĩ": 30581, - "Ġbullied": 30582, - "ĠBeauty": 30583, - "Ġpragmatic": 30584, - "ĠKarn": 30585, - "ermal": 30586, - "Ġtrek": 30587, - "Ġwheelchair": 30588, - "ĠLiberation": 30589, - "ĠPhotoshop": 30590, - "Ġflattened": 30591, - "ĠPyramid": 30592, - "Ġpledged": 30593, - "Ġpredation": 30594, - "Ġfloats": 30595, - "Ġtorped": 30596, - "Ġqueens": 30597, - "Ġorchestr": 30598, - "Ġpatriarchal": 30599, - "Boolean": 30600, - "trial": 30601, - "atoms": 30602, - "ĠOst": 30603, - "ensure": 30604, - "Ġcarrot": 30605, - "Ġparaly": 30606, - "ĠPerman": 30607, - "hya": 30608, - "ĠKindergarten": 30609, - "Ġpilgrims": 30610, - "Pet": 30611, - "fishing": 30612, - "verify": 30613, - "iku": 30614, - "ĠEvangel": 30615, - "Ġprevailed": 30616, - "ĠNicarag": 30617, - "ĠKitchen": 30618, - "ĠBS": 30619, - "ĠWalking": 30620, - "orithms": 30621, - "Genesis": 30622, - "Ġheterogeneous": 30623, - "------------------------------": 30624, - "Ġfauc": 30625, - "ĠFrame": 30626, - "neutral": 30627, - "Ġapopt": 30628, - "ĠHazard": 30629, - "walks": 30630, - "ĠHepatitis": 30631, - "dala": 30632, - "ethnic": 30633, - "Ġfluent": 30634, - "bladder": 30635, - "Ġallergen": 30636, - "ĠTorres": 30637, - "ĠAtomic": 30638, - "ieties": 30639, - "Ġstricter": 30640, - "dk": 30641, - "ingo": 30642, - "Ġanalyzes": 30643, - "Ġrotational": 30644, - "ĠLocke": 30645, - "Ġpalsy": 30646, - "itability": 30647, - "chle": 30648, - "Introdu": 30649, - "Ġselves": 30650, - "Ġrecruiting": 30651, - "uschwitz": 30652, - "Ġconject": 30653, - "ĠPill": 30654, - "Ġjog": 30655, - "ĠJohnston": 30656, - "ĠGenerate": 30657, - "न": 30658, - "ĠGiov": 30659, - "ï¸": 30660, - "ĠâĢľ[": 30661, - "ĠMonroe": 30662, - "ĠReduced": 30663, - "Ġantennas": 30664, - "ĠUCLA": 30665, - "Ġtectonic": 30666, - "thermal": 30667, - "Ġstrata": 30668, - "Ġfeeders": 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"ĠBug": 31908, - "emeter": 31909, - "Ġrealizes": 31910, - "Ġconspicuous": 31911, - "ĠPlateau": 31912, - "Hyper": 31913, - "ĠVikings": 31914, - "Ġpc": 31915, - "stated": 31916, - "ondo": 31917, - "Ġpredefined": 31918, - "olytic": 31919, - "Ġpicnic": 31920, - "Ġinterstellar": 31921, - "Ġsophistication": 31922, - "Ġlords": 31923, - "ĠMales": 31924, - "Ġsoaked": 31925, - "Ġsympath": 31926, - "ALS": 31927, - "ĠExtreme": 31928, - "Ġharmoniously": 31929, - "Ġlawns": 31930, - "Growing": 31931, - "walls": 31932, - "à¹": 31933, - "atan": 31934, - "Ġfibrous": 31935, - "Ġferry": 31936, - "ĠParadise": 31937, - "Soci": 31938, - "esch": 31939, - "alignment": 31940, - "Ġhooked": 31941, - "quote": 31942, - "Ġinferred": 31943, - "ĠAdolesc": 31944, - "Ġkillings": 31945, - "Ġmentorship": 31946, - "Ġnomadic": 31947, - "Ġsteroid": 31948, - "WM": 31949, - "farm": 31950, - "ordable": 31951, - "Ġargumentative": 31952, - "Ġκ": 31953, - "ĠAccel": 31954, - "Ġdiaspora": 31955, - "gap": 31956, - "umni": 31957, - 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- "Ġmango": 32059, - "Ġcondensed": 32060, - "ĠCombined": 32061, - "ĠCitizen": 32062, - "enta": 32063, - "ĠTub": 32064, - "ĠPew": 32065, - "Ġchili": 32066, - "Ġtablespoons": 32067, - "planned": 32068, - "ĠChad": 32069, - "Ġfacto": 32070, - "Ġunsustainable": 32071, - "ĠPainting": 32072, - "Ġfronts": 32073, - "elin": 32074, - "assis": 32075, - "Ġpartnered": 32076, - "Ġlogos": 32077, - "ĠLeone": 32078, - "ĠNorthwestern": 32079, - "Adding": 32080, - "Ġmethylation": 32081, - "ĠAlbany": 32082, - "velocity": 32083, - "aseous": 32084, - "Ġsocialization": 32085, - "Ġcalend": 32086, - "polar": 32087, - "ĠPropag": 32088, - "Ġtrimester": 32089, - "å¹": 32090, - "Ġreds": 32091, - "ĠBoh": 32092, - "bsp": 32093, - "ATER": 32094, - "ĠElectronics": 32095, - "Ġshutdown": 32096, - "Ġfederally": 32097, - "Ġlumbar": 32098, - "ocument": 32099, - "Ġintangible": 32100, - "ĠThirty": 32101, - "ĠNotable": 32102, - "Ġcollateral": 32103, - "Ġunwavering": 32104, - "Ġswallowed": 32105, - "ĠFeedback": 32106, - "oscience": 32107, - "ĠTeeth": 32108, - "Ġsymbolizing": 32109, - "Bu": 32110, - "Ġhometown": 32111, - "Ġinterfer": 32112, - "Ġcreams": 32113, - "Stress": 32114, - "apsing": 32115, - "gui": 32116, - "Ġblew": 32117, - "ĠENUM": 32118, - "ĠDialogue": 32119, - "having": 32120, - "wers": 32121, - "Ñħ": 32122, - "Ġtier": 32123, - "Ġnormalization": 32124, - "omenclature": 32125, - "Camp": 32126, - "Ġinline": 32127, - "ĠChal": 32128, - "Ġchoir": 32129, - "Ġgeese": 32130, - "ANN": 32131, - "ĠSchmidt": 32132, - "ĠTypical": 32133, - "utc": 32134, - "Sea": 32135, - "Ġpreschoolers": 32136, - "Ġsleeves": 32137, - "Heb": 32138, - "Si": 32139, - "TEM": 32140, - "Ġpenny": 32141, - "Ġnat": 32142, - "Ġheats": 32143, - "Ġincurred": 32144, - "Ġlaure": 32145, - "ĠMarines": 32146, - "Ġprogressing": 32147, - "ĠWriter": 32148, - "ĠSubstance": 32149, - "Agent": 32150, - "Ġcondu": 32151, - "Animal": 32152, - "ĠRegistry": 32153, - "transfer": 32154, - "Spring": 32155, - "apon": 32156, - "Ġpuzzled": 32157, - "ĠSnake": 32158, - "Ġpropriet": 32159, - "Jack": 32160, - "MAR": 32161, - "Ġfoc": 32162, - "ĠCred": 32163, - "esthesia": 32164, - "ĠWinston": 32165, - "indent": 32166, - "ĠSwitch": 32167, - "multip": 32168, - "ncbi": 32169, - "ĠIB": 32170, - "osine": 32171, - "Ġattire": 32172, - "uchi": 32173, - "ĠIsles": 32174, - "ĠSurround": 32175, - "zu": 32176, - "ĠCasc": 32177, - "ĠPool": 32178, - "ptics": 32179, - "Ġkicked": 32180, - "ĠPutting": 32181, - "rr": 32182, - "Ġcate": 32183, - "strom": 32184, - "Ġflocks": 32185, - "Ġpolys": 32186, - "ĠCreativity": 32187, - "PDATE": 32188, - "Ġhydroelectric": 32189, - "Ġelectrically": 32190, - "Ġviz": 32191, - "iret": 32192, - "tole": 32193, - "Ġprobiotic": 32194, - "Isa": 32195, - "roles": 32196, - "ampton": 32197, - "ĠCrom": 32198, - "Ġwarp": 32199, - "ĠCanterbury": 32200, - "Ġdivinity": 32201, - "Ġdean": 32202, - "ĠSioux": 32203, - "ĠPVC": 32204, - "ĠFix": 32205, - "ixel": 32206, - "Ġrejecting": 32207, - "ĠEntreprene": 32208, - "ĠWireless": 32209, - "Monday": 32210, - "NL": 32211, - "ĠHern": 32212, - "Ġhailed": 32213, - "Ġlookup": 32214, - "Ġreversible": 32215, - "Ġcytokines": 32216, - "Seg": 32217, - "much": 32218, - "rically": 32219, - "itut": 32220, - "ĠShore": 32221, - "Ġpostdoctoral": 32222, - "Exc": 32223, - "HEAD": 32224, - "hostname": 32225, - "Score": 32226, - "ĠIdeal": 32227, - "Ġfarmed": 32228, - "Ġburrow": 32229, - "Ġadventurers": 32230, - "ĠSaskatchewan": 32231, - "Dou": 32232, - "ÑĨ": 32233, - "arum": 32234, - "Ġlace": 32235, - "ĠRaspberry": 32236, - "avorable": 32237, - "ĠMalawi": 32238, - "PRESS": 32239, - "ĠCosts": 32240, - "Ġpatronage": 32241, - "WID": 32242, - "edo": 32243, - "adal": 32244, - "onement": 32245, - "Ġacclaimed": 32246, - "Ġcampuses": 32247, - "ĠMineral": 32248, - "Ġapartments": 32249, - "screens": 32250, - "Ġureth": 32251, - "anched": 32252, - "ĠShab": 32253, - "Ġannotated": 32254, - "Ġamenities": 32255, - "ĠMÄģori": 32256, - "Jud": 32257, - "rals": 32258, - "vik": 32259, - "ĠWarning": 32260, - 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32607, - "yalgia": 32608, - "Ġadversaries": 32609, - "\\_\\_": 32610, - "Password": 32611, - "Capt": 32612, - "bite": 32613, - "rification": 32614, - "lehem": 32615, - "azole": 32616, - "Ġfaiths": 32617, - "Ġundertook": 32618, - "ĠCoordinator": 32619, - "è¡Į": 32620, - "ĠTudor": 32621, - "Ġ(=": 32622, - "ĠMé": 32623, - "ĠLights": 32624, - "ĠOng": 32625, - "Ġsquid": 32626, - "Clinical": 32627, - "Ġventricular": 32628, - "ĠIllness": 32629, - "ĠIntroduce": 32630, - "ĠDurham": 32631, - "åľ¨": 32632, - "Ġinfringement": 32633, - "Ġfingertips": 32634, - "ĠThomson": 32635, - "Ġtwigs": 32636, - "Chief": 32637, - "ĠKeys": 32638, - "Ġscalable": 32639, - "Ġnovice": 32640, - "dash": 32641, - "Ġbarc": 32642, - "ĠThunder": 32643, - "partition": 32644, - "ĠEvolutionary": 32645, - "ĠEnhance": 32646, - "ÅŁ": 32647, - "Ġil": 32648, - "Ġeclips": 32649, - "Ġperturb": 32650, - "Ġabras": 32651, - "Ġ*=": 32652, - "previous": 32653, - "ĠShepherd": 32654, - "ĠCornwall": 32655, - "zekiel": 32656, - "+=": 32657, 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"Ġconverge": 32758, - "Ġrospy": 32759, - "Ġunderpinnings": 32760, - "hof": 32761, - "Ġhandbook": 32762, - "Ġrested": 32763, - "Ġnormative": 32764, - "Ġfortunes": 32765, - "Ġgestational": 32766, - "Ġnegligence": 32767, - "bler": 32768, - "Ġfrying": 32769, - "ermis": 32770, - "ĠSpider": 32771, - "ĠVegetables": 32772, - "alamus": 32773, - "Ġunmanned": 32774, - "Raw": 32775, - "Ġexcre": 32776, - "Ġchorus": 32777, - "Ġwording": 32778, - "Ġtraveler": 32779, - "ĠRegistration": 32780, - "ĠMyc": 32781, - "Ġcamel": 32782, - "ĠSwan": 32783, - "Ġfixation": 32784, - "ĠâĹ": 32785, - "ĠFarmer": 32786, - "Helper": 32787, - "ĠSpaniards": 32788, - "Az": 32789, - "}',": 32790, - "classification": 32791, - "observation": 32792, - "buf": 32793, - "Ġergon": 32794, - "Ġophthalm": 32795, - "ĠTables": 32796, - "Ġstaged": 32797, - "horse": 32798, - "ĠExpansion": 32799, - "Ġalienation": 32800, - "Ġdoctorate": 32801, - "Ġdeploying": 32802, - "[[": 32803, - "yang": 32804, - "ĠTrig": 32805, - "ĠHes": 32806, - "Ġsober": 32807, - "Ġsoaking": 32808, - "ĠMorrison": 32809, - "Ġsubtly": 32810, - "ocalyptic": 32811, - "inable": 32812, - "Ġhern": 32813, - "Ġcirrhosis": 32814, - "Ġextrapol": 32815, - "Ġinvestigates": 32816, - "Ġaspiration": 32817, - "Gender": 32818, - "NI": 32819, - "ĠAMD": 32820, - "ĠRid": 32821, - "Ġdeserved": 32822, - "Ġstandardization": 32823, - "Ġpalaces": 32824, - "Ġbrigade": 32825, - "Ġtributaries": 32826, - "Match": 32827, - "camp": 32828, - "čĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 32829, - "Ġunpublished": 32830, - "optimal": 32831, - "Ġpropel": 32832, - "ĠProvides": 32833, - "CLC": 32834, - "Required": 32835, - "invent": 32836, - "ository": 32837, - "avia": 32838, - "othered": 32839, - "Ġbicycles": 32840, - "Eds": 32841, - "Nothing": 32842, - "fty": 32843, - "utz": 32844, - "Ġcondom": 32845, - "ĠPour": 32846, - "ĠYuk": 32847, - "borg": 32848, - "roqu": 32849, - "ctools": 32850, - "ĠHour": 32851, - "deal": 32852, - "thought": 32853, - "Ġlogistic": 32854, - "Ġevaluates": 32855, - "choices": 32856, - "Ġconvex": 32857, - "Ġscarcely": 32858, - "ĠGospels": 32859, - "Ġdilute": 32860, - "ĠMozamb": 32861, - "Ġnewcomers": 32862, - "grow": 32863, - "Ġinfested": 32864, - "Ġdecoder": 32865, - "inae": 32866, - "ĠHerz": 32867, - "Ġcomforting": 32868, - "ĠINTER": 32869, - "nob": 32870, - "rored": 32871, - "ĠConsumption": 32872, - "Ġcompletes": 32873, - "feres": 32874, - "Ġjuveniles": 32875, - "Ġsickle": 32876, - "Ġcherish": 32877, - "DEC": 32878, - "Ġtac": 32879, - "ĠMoss": 32880, - "Ġunaffected": 32881, - "Ġunavoid": 32882, - "ĠHeights": 32883, - "Ġinsulating": 32884, - "Ġcheeks": 32885, - "Ġforested": 32886, - "Ġrebirth": 32887, - "timed": 32888, - "Ġwholesale": 32889, - "Ġmellitus": 32890, - "XY": 32891, - "ĠCli": 32892, - "Ġprematurely": 32893, - "Ġadrenaline": 32894, - "termediate": 32895, - "jac": 32896, - "Ġtingling": 32897, - "ĠFruits": 32898, - "Ġreplies": 32899, - "Ġashore": 32900, - "Player": 32901, - "fro": 32902, - "ĠNurse": 32903, - "Ġinsists": 32904, - 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"Gene": 33003, - "Ġrelocation": 33004, - "Ġsociological": 33005, - "Ġsupermarkets": 33006, - "Ġobstructive": 33007, - "Ġfabricated": 33008, - "ĠNormandy": 33009, - "ĠAppalachian": 33010, - "Ġcunning": 33011, - "ĠAlps": 33012, - "ahs": 33013, - "Ġpostal": 33014, - "ĠAusten": 33015, - "Ġarchaeologist": 33016, - "publish": 33017, - "Ġiterative": 33018, - "Ġintracellular": 33019, - "ĠLancaster": 33020, - "Ġletharg": 33021, - "tum": 33022, - "Ġlone": 33023, - "Ġwhisk": 33024, - "ecost": 33025, - "ĠAmph": 33026, - "Ġinhibiting": 33027, - "Ġfiery": 33028, - "ĠAzerbaijan": 33029, - "TF": 33030, - "åĨ": 33031, - "oteric": 33032, - "andescent": 33033, - "izens": 33034, - "bringing": 33035, - "Ġpolicing": 33036, - "Ġdividends": 33037, - "ĠDesigned": 33038, - "Team": 33039, - "ĠGlobe": 33040, - "Ġglycemic": 33041, - "ĠPaste": 33042, - "Ġexpr": 33043, - "ĠAncest": 33044, - "States": 33045, - "Ġreceivers": 33046, - "flux": 33047, - "nat": 33048, - "amate": 33049, - "romyalgia": 33050, - "clone": 33051, - "Ġupheld": 33052, - "Ġfunnel": 33053, - "Ġdiversion": 33054, - "ĠBayesian": 33055, - "Ġcompounded": 33056, - "Everything": 33057, - "ĠConfederation": 33058, - "Ġlighthouse": 33059, - "ĠTommy": 33060, - "Ġalve": 33061, - "ĠEE": 33062, - "Ġoffender": 33063, - "olecule": 33064, - "ĠCarlo": 33065, - "ĠInitialize": 33066, - "Ġmistakenly": 33067, - "Ġgleaned": 33068, - "Ġtandem": 33069, - "ĠDHA": 33070, - "Ġentrusted": 33071, - "ylene": 33072, - "Proper": 33073, - "Ġoutsiders": 33074, - "Ġappraisal": 33075, - "Ġkitchens": 33076, - "ĠBabies": 33077, - "ĠMarxism": 33078, - "ĠJoyce": 33079, - "Ġoyster": 33080, - "izen": 33081, - "Ġplut": 33082, - "ĠNEW": 33083, - "VC": 33084, - "íķ": 33085, - "elastic": 33086, - "ggling": 33087, - "Ġpaperwork": 33088, - "Ġloosen": 33089, - "deredDict": 33090, - "ĠCaroline": 33091, - "ĠTank": 33092, - "allic": 33093, - "ĠInquiry": 33094, - "STOR": 33095, - "runs": 33096, - "Ġhomestead": 33097, - "ĠLaboratories": 33098, - "Ġhypothesized": 33099, - 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- "Loc": 33151, - "iatic": 33152, - "emy": 33153, - "Ġclut": 33154, - "Ġcaloric": 33155, - "ocumented": 33156, - "Ġauditor": 33157, - "Ġtrusts": 33158, - "Ġguarded": 33159, - "Private": 33160, - "åıĸ": 33161, - "CBT": 33162, - "Ġns": 33163, - "ĠPond": 33164, - "asties": 33165, - "phrase": 33166, - "Ġconfed": 33167, - "Ġethos": 33168, - "ĠProphe": 33169, - "ĠInfections": 33170, - "Ġoppos": 33171, - "Ġcouch": 33172, - "Ġignores": 33173, - "ĠSamar": 33174, - "оÑĢ": 33175, - "priority": 33176, - "ĠHarmonyville": 33177, - "Ġtopped": 33178, - "arching": 33179, - "alfa": 33180, - "Ġactionable": 33181, - "Ġmanifold": 33182, - "Ġlicence": 33183, - "Ġfashionable": 33184, - "æİ": 33185, - "Ġsher": 33186, - "Ġmural": 33187, - "Ġsepsis": 33188, - "availability": 33189, - "Ġtrays": 33190, - "Ġagreeing": 33191, - "ĠMechanics": 33192, - "plugins": 33193, - "Ġupgrades": 33194, - "Ġclutter": 33195, - "ĠManifest": 33196, - "Ġpronoun": 33197, - "ĠHopefully": 33198, - "Ġlurking": 33199, - "liest": 33200, - "Ġpus": 33201, - "ĠVine": 33202, - "DEF": 33203, - "Ġoverlooking": 33204, - "ĠMarco": 33205, - "ĠVon": 33206, - "Ġinterferes": 33207, - "CODE": 33208, - "Ġpremier": 33209, - "Ġshouting": 33210, - "ller": 33211, - "Ġprophetic": 33212, - "Testing": 33213, - "Ġrailways": 33214, - "Ġscalability": 33215, - "Ġleaning": 33216, - "Sing": 33217, - "pkl": 33218, - "Ġomit": 33219, - "Ġmd": 33220, - "ilight": 33221, - "ĠTah": 33222, - "Ġplume": 33223, - "Ġexpired": 33224, - "ĠParish": 33225, - "Ġinjecting": 33226, - "ĠAccessibility": 33227, - "Ġmolding": 33228, - "Ġquotations": 33229, - "Political": 33230, - "ĠNutr": 33231, - "Chemical": 33232, - "rils": 33233, - "strand": 33234, - "ĠPump": 33235, - "quake": 33236, - "Ġswamp": 33237, - "Phase": 33238, - "ĠProvidence": 33239, - "Eventually": 33240, - "Ïį": 33241, - "ĠTW": 33242, - "inee": 33243, - "brane": 33244, - "ĠFreeman": 33245, - "Ġmeteorological": 33246, - "Ġflammable": 33247, - "tas": 33248, - "Ġquota": 33249, - "ĠPride": 33250, - "ĠCOP": 33251, - "peutics": 33252, - "ĠTribune": 33253, - "ophe": 33254, - "Ġdisclosed": 33255, - "ARI": 33256, - "borhood": 33257, - "Ġrotary": 33258, - "ĠProcedure": 33259, - "Ġimpe": 33260, - "dominated": 33261, - "Univers": 33262, - "Ġmotivational": 33263, - "Ġirritated": 33264, - "authored": 33265, - "Ġnonsense": 33266, - "Ġendorsement": 33267, - "Ġinfiltration": 33268, - "aqu": 33269, - "aligned": 33270, - "Ġforc": 33271, - "ĠGER": 33272, - "Ġresided": 33273, - "ceptor": 33274, - "Ġsurreal": 33275, - "Ġwildly": 33276, - "gradient": 33277, - "founded": 33278, - "Suppose": 33279, - "nit": 33280, - "opting": 33281, - "Ġunbelie": 33282, - "ĠClos": 33283, - "Ġbirthplace": 33284, - "Ġsavory": 33285, - "Ġaccumulating": 33286, - "Ġmilder": 33287, - "Ġdumped": 33288, - "ĠBaldwin": 33289, - "lost": 33290, - "Ġstacks": 33291, - "Ġital": 33292, - "Ġsuppressing": 33293, - "ĠSacramento": 33294, - ")^": 33295, - "AH": 33296, - "Drug": 33297, - "ĠHours": 33298, - "Ġmalign": 33299, - "xyz": 33300, - "utations": 33301, - "ĠRD": 33302, - "Ġadapter": 33303, - "Ġglimps": 33304, - "Ġlogistical": 33305, - "lette": 33306, - "registry": 33307, - "ĠContrast": 33308, - "ĠMalta": 33309, - "orrhea": 33310, - "lif": 33311, - "Ġperi": 33312, - "tele": 33313, - "listed": 33314, - "Ġfaire": 33315, - "Ġpenis": 33316, - "dimension": 33317, - "Ġallele": 33318, - "Url": 33319, - "uties": 33320, - "ĠAU": 33321, - "ĠSage": 33322, - "ĠKaiser": 33323, - "Ġspeeding": 33324, - "ĠBerry": 33325, - "losses": 33326, - "Ġdiligence": 33327, - "ĠCzechosl": 33328, - "Ġwrinkles": 33329, - "failure": 33330, - "éĹ": 33331, - "Ġoft": 33332, - "Ġmanga": 33333, - "yss": 33334, - "RIBUT": 33335, - "Ġextraterrestrial": 33336, - "Few": 33337, - "Ġadept": 33338, - "ulsions": 33339, - "ĠPlaying": 33340, - "Ġcoexistence": 33341, - "ĠItalians": 33342, - "Running": 33343, - "ĠHear": 33344, - "ĠRams": 33345, - "ourg": 33346, - "ĠScan": 33347, - "Problem": 33348, - "Humans": 33349, - "Soon": 33350, - "ĠKre": 33351, - "ĠProfessionals": 33352, - "Ġloudly": 33353, - "Ġanxieties": 33354, - "circuit": 33355, - "Ġunderscoring": 33356, - "Ġpermissible": 33357, - "UES": 33358, - "Wait": 33359, - "Ġcms": 33360, - "Ġsupra": 33361, - "ĠJD": 33362, - "ritz": 33363, - "ĠEnviron": 33364, - "ĠRomanian": 33365, - "ĠTreatments": 33366, - "Members": 33367, - "bars": 33368, - "tel": 33369, - "ĠRecycling": 33370, - "ĠEdwin": 33371, - "Validation": 33372, - "Ġpsychiatry": 33373, - "Ġparsley": 33374, - "fmt": 33375, - "Ġhated": 33376, - "ĠSard": 33377, - "odef": 33378, - "ĠLon": 33379, - "spatial": 33380, - "Ġcools": 33381, - "ĠRemoval": 33382, - "ĠTwain": 33383, - "ĠMonthly": 33384, - "ĠFalcon": 33385, - "ĠBiomedical": 33386, - "pkg": 33387, - "amis": 33388, - "perse": 33389, - "ourced": 33390, - "Ġfluffy": 33391, - "Ġexposition": 33392, - "Ġliberated": 33393, - "ĠInnovative": 33394, - "olor": 33395, - "Ġstature": 33396, - "osate": 33397, - "Ġsuperb": 33398, - "Jun": 33399, - "npy": 33400, - "alla": 33401, - "matches": 33402, - "Ġdiarrhoea": 33403, - "eronomy": 33404, - "ĠPag": 33405, - "ĠNecess": 33406, - "ĠYounger": 33407, - "Ġenthusiast": 33408, - "Ġsten": 33409, - "onda": 33410, - "Ġairlines": 33411, - "ĠArtist": 33412, - "Ġdryer": 33413, - "rho": 33414, - "ĠLuckily": 33415, - "Mid": 33416, - "ĠTick": 33417, - "Ġblob": 33418, - "Ġminors": 33419, - "orescence": 33420, - "ĠCivilization": 33421, - "ĠNavigation": 33422, - "Ġsermon": 33423, - "icators": 33424, - "ustry": 33425, - "Ġalgal": 33426, - "Ġд": 33427, - "eze": 33428, - "owulf": 33429, - "ifera": 33430, - "ivore": 33431, - "ĠFight": 33432, - "permission": 33433, - "Ġoprot": 33434, - "ĠSloven": 33435, - "Ġsubtropical": 33436, - "ĠREAD": 33437, - "Ġreverber": 33438, - "Ġamygdala": 33439, - "park": 33440, - "icia": 33441, - "ĠAJ": 33442, - "ĠMuss": 33443, - "ĠGerald": 33444, - "wey": 33445, - "Ġ[])": 33446, - "Ġolfactory": 33447, - "powers": 33448, - "Speed": 33449, - "Ġbs": 33450, - "Ġconcessions": 33451, - "Ġadip": 33452, - "Ġdealers": 33453, 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"Ġstreamlined": 33506, - "ĠConfiguration": 33507, - "Ġoverex": 33508, - "Ġengraved": 33509, - "Ġbolstering": 33510, - "Earlier": 33511, - "rinsic": 33512, - "Ġtxt": 33513, - "ĠHip": 33514, - "xtap": 33515, - "ĠAlf": 33516, - "------------------": 33517, - "Ġcataracts": 33518, - "ĠKazakhstan": 33519, - "Moving": 33520, - "daily": 33521, - "ĠSisters": 33522, - "ĠSimpson": 33523, - "Ġglossary": 33524, - "ĠVolunteer": 33525, - "æŶ": 33526, - "VIII": 33527, - "Ġmussels": 33528, - "ĠFE": 33529, - "Ġarth": 33530, - "Ġtreatise": 33531, - "Ġcolonized": 33532, - "Ġmurals": 33533, - "violence": 33534, - "à¯": 33535, - "erd": 33536, - "ĠTail": 33537, - "ĠHP": 33538, - "inders": 33539, - "Ġnomination": 33540, - "asaki": 33541, - "irls": 33542, - "ĠThir": 33543, - "blast": 33544, - "assertFalse": 33545, - "Ġpositives": 33546, - "existent": 33547, - "Ġsupervise": 33548, - "Ġsandwiches": 33549, - "Citation": 33550, - "cannot": 33551, - "north": 33552, - "ĠSplit": 33553, - "perform": 33554, - "ĠColors": 33555, - "ĠFlint": 33556, - "hael": 33557, - "Ġindexed": 33558, - "corr": 33559, - "Ġrelieving": 33560, - "ĠAcknow": 33561, - "searc": 33562, - "Ġalph": 33563, - "Ġalias": 33564, - "uds": 33565, - "ĠArthritis": 33566, - "Ġmillimeters": 33567, - "ĠLeopold": 33568, - "Ġ__________________": 33569, - "Ġbitten": 33570, - "ĠPolyn": 33571, - "feit": 33572, - "Ġveterinarians": 33573, - "fashioned": 33574, - "pic": 33575, - "Ġperse": 33576, - "Ġspurred": 33577, - "Ġmonot": 33578, - "ï¼Ī": 33579, - "Photos": 33580, - "kefeller": 33581, - "ĠDale": 33582, - "plays": 33583, - "Ġexpiration": 33584, - "brook": 33585, - "ĠHonduras": 33586, - "slic": 33587, - "ĠLub": 33588, - "Ġstartling": 33589, - "Ġdelved": 33590, - "flip": 33591, - "IPE": 33592, - "Ġunderside": 33593, - "ĠSelecting": 33594, - "Ġhypothyroidism": 33595, - "Ġditch": 33596, - "ĠDairy": 33597, - "ploid": 33598, - "ĠUtt": 33599, - "Ġunhe": 33600, - "ĠRece": 33601, - "Ġinnovate": 33602, - "Ġhairy": 33603, - "Ġpunishments": 33604, - "Ye": 33605, - "unn": 33606, - "ensible": 33607, - "Inside": 33608, - "commercial": 33609, - "Ġpolymerase": 33610, - "Ġmilitar": 33611, - "chanics": 33612, - "matplotlib": 33613, - "Ġharvests": 33614, - "ĠSteam": 33615, - "Ġadjunct": 33616, - "Ġrhin": 33617, - "Ġdumping": 33618, - "Evidence": 33619, - "ĠCaucasus": 33620, - "Condition": 33621, - "certainty": 33622, - "ĠNicaragua": 33623, - "ç½": 33624, - "Ġocular": 33625, - "Ġbony": 33626, - "Ġlitres": 33627, - "Ġprotesters": 33628, - "Ġzeal": 33629, - "Conc": 33630, - "qualified": 33631, - "Scott": 33632, - "Ġcartridge": 33633, - "Discussion": 33634, - "TPS": 33635, - "Ġprick": 33636, - "ĠChel": 33637, - "ĠMORE": 33638, - "ĠPassion": 33639, - "Ġhens": 33640, - "ĠJF": 33641, - "ERY": 33642, - "unting": 33643, - "rosophila": 33644, - "ĠAircraft": 33645, - "ĠBhutan": 33646, - "CG": 33647, - "Mag": 33648, - "Ġmentality": 33649, - "Geometry": 33650, - "âķIJâķIJ": 33651, - "motor": 33652, - "Ġlign": 33653, - "ĠHMS": 33654, - "Getty": 33655, - "!**": 33656, - ",(": 33657, - "Future": 33658, - "franch": 33659, - "street": 33660, - "Ġintimately": 33661, - "Ġhello": 33662, - "ucent": 33663, - "Ġcoales": 33664, - "Ġdebugging": 33665, - "Ġmisf": 33666, - "continence": 33667, - "Ġrefrigeration": 33668, - "ĠSale": 33669, - "ablo": 33670, - "Ġpeek": 33671, - "iker": 33672, - "rador": 33673, - "ĠJacobs": 33674, - "Ġcarpets": 33675, - "iere": 33676, - "verte": 33677, - "Ġhaul": 33678, - "Ġpotency": 33679, - "ĠAmelia": 33680, - "Ġtournament": 33681, - "Ġventured": 33682, - "Financial": 33683, - "behavioral": 33684, - "Board": 33685, - "cepts": 33686, - "Ġblockade": 33687, - "ĠOceanic": 33688, - "ĠBullying": 33689, - "ĠGreens": 33690, - "<<": 33691, - "hra": 33692, - "ĠMish": 33693, - "strategy": 33694, - "Ġwiser": 33695, - "Ġmasking": 33696, - "Ġdotted": 33697, - "Ġcataract": 33698, - "Ġsowing": 33699, - "Ġfission": 33700, - "Ġgaseous": 33701, - "ĠPER": 33702, - "Ġjudiciary": 33703, - "Ġmetabolites": 33704, - "Ġorchid": 33705, - "Ġconstellations": 33706, - "migrations": 33707, - "strength": 33708, - "Friday": 33709, - "ionage": 33710, - "ibus": 33711, - "Ġunprotected": 33712, - "ĠNoise": 33713, - "Ġstereotype": 33714, - "ĠAssessing": 33715, - "ĠShelley": 33716, - "tau": 33717, - "ĠGET": 33718, - "ĠSz": 33719, - "ĠCrystal": 33720, - "ĠHS": 33721, - "Ġyourselves": 33722, - "Ġ\"\")": 33723, - "ascus": 33724, - "Ġbleaching": 33725, - "Ġentertained": 33726, - "ĠSidd": 33727, - "ĠStir": 33728, - "ossal": 33729, - "Ġdemo": 33730, - "Builder": 33731, - "Ġabruptly": 33732, - "qs": 33733, - "Ġbang": 33734, - "Ġinquiries": 33735, - "Ġnoses": 33736, - "Ġcraters": 33737, - "Ġconceptions": 33738, - "ĠXY": 33739, - "COUNT": 33740, - "graduates": 33741, - "Distance": 33742, - "Double": 33743, - "izzy": 33744, - "Ġspruce": 33745, - "coat": 33746, - "Ġenvironmentalists": 33747, - "Ġsummarizing": 33748, - "Ġgoss": 33749, - "expect": 33750, - "Ġadvising": 33751, - "Ġcondoms": 33752, - "ĠShortly": 33753, - "accharides": 33754, - "Ġrepentance": 33755, - "tails": 33756, - "Ġferal": 33757, - "ĠTrent": 33758, - "okers": 33759, - "ĠAppl": 33760, - "infection": 33761, - "Ġneuropsych": 33762, - "Ġneckl": 33763, - "music": 33764, - "Ġvoyages": 33765, - "ĠVoices": 33766, - "repository": 33767, - "ĠGiovanni": 33768, - "Ġcipher": 33769, - "ĠFrost": 33770, - "coins": 33771, - "OSS": 33772, - "solve": 33773, - "ĠDistingu": 33774, - "ĠBethlehem": 33775, - "Father": 33776, - "oji": 33777, - "isin": 33778, - "Ġpea": 33779, - "Ġexpanse": 33780, - "Ġcapitalize": 33781, - "ĠMatplotlib": 33782, - "Ġgrocer": 33783, - "coordinates": 33784, - "Fish": 33785, - "Ly": 33786, - "icz": 33787, - "ĠFlask": 33788, - "Ġembarrassment": 33789, - "Ġcamouflage": 33790, - "Ġgrievances": 33791, - "Ġplatinum": 33792, - "ĠKoch": 33793, - "Ġseventeen": 33794, - "Ġserialize": 33795, - "Ġhydropower": 33796, - "toplankton": 33797, - "Ġnucleotide": 33798, - "Harv": 33799, - "Quality": 33800, - "ĠGUI": 33801, - "ĠGCSE": 33802, - "Ġtaxi": 33803, - "Ġoptimally": 33804, - "Ġdragged": 33805, - "Ġdescendant": 33806, - "Ġfigurative": 33807, - "Ġfür": 33808, - "Ġornaments": 33809, - "ĠRum": 33810, - "ĠGel": 33811, - "cloth": 33812, - "Ġcompulsive": 33813, - "Ġdoomed": 33814, - "aise": 33815, - "ité": 33816, - "ĠFur": 33817, - "ĠKend": 33818, - "Ġinspected": 33819, - "Ġconversational": 33820, - "ĠCapacity": 33821, - "ĠZhou": 33822, - "Ġdwellers": 33823, - "Ġgoddesses": 33824, - "BLE": 33825, - "ĠACL": 33826, - "ĠLaz": 33827, - "Ġremed": 33828, - "Ġattrs": 33829, - "Ġentom": 33830, - "Ġcaries": 33831, - "Ġdownwards": 33832, - "Ġpillow": 33833, - "Surface": 33834, - "LOCK": 33835, - "cart": 33836, - "gang": 33837, - "lite": 33838, - "Ġsparing": 33839, - "wered": 33840, - "Ġassortment": 33841, - "proj": 33842, - "Ġmessengers": 33843, - "Ġjournaling": 33844, - "ĠMali": 33845, - "Ġinterviewing": 33846, - "ĠExtended": 33847, - "statistics": 33848, - "Ġarsenal": 33849, - "recognized": 33850, - "HL": 33851, - "trigger": 33852, - "aned": 33853, - "Ġether": 33854, - "ĠTrim": 33855, - "Ġyang": 33856, - "aminated": 33857, - "Doctors": 33858, - "ĠLegislative": 33859, - "esoph": 33860, - "opening": 33861, - "Ġimpractical": 33862, - "Ġopted": 33863, - "ĠSpatial": 33864, - "ĠAssert": 33865, - "ĠTransactions": 33866, - "ĠBiotechnology": 33867, - "Ġsecreted": 33868, - "Ġriparian": 33869, - "ĠVishnu": 33870, - "Ġviolet": 33871, - "Ġtwelfth": 33872, - "Unknown": 33873, - "ĠDeveloped": 33874, - "ĠDevelopments": 33875, - "Ġpineapple": 33876, - "Ġparen": 33877, - "ĠTul": 33878, - "chars": 33879, - "Ġrestless": 33880, - "ĠOrn": 33881, - "ĠGujar": 33882, - "ĠRegression": 33883, - "ĠBrush": 33884, - "ĠHygiene": 33885, - "Ġrenders": 33886, - "!),": 33887, - "nour": 33888, - "ĠEST": 33889, - "unched": 33890, - "Ġpostcolonial": 33891, - "ĠFloat": 33892, - "Ġhorrors": 33893, - "Behavior": 33894, - "Ġgraceful": 33895, - "Ġapoptosis": 33896, - "duty": 33897, - "Ġplethora": 33898, - "ĠRomance": 33899, - "ĠRhine": 33900, - "Ġoverwhelmingly": 33901, - "Ġsensitivities": 33902, - "Folder": 33903, - "onucle": 33904, - "Ġoily": 33905, - "Ġcider": 33906, - "ĠSag": 33907, - "ĠCRE": 33908, - "adam": 33909, - "ĠJO": 33910, - "Country": 33911, - "æķ°æį®": 33912, - "çī": 33913, - "Ġliturgical": 33914, - "Ġpopularly": 33915, - "backward": 33916, - "ĠSociology": 33917, - "mathbf": 33918, - "Ġpearls": 33919, - "tc": 33920, - "ĠFostering": 33921, - "ĠWeak": 33922, - "\"\"\",": 33923, - "ĠSeventh": 33924, - "Ġcollide": 33925, - "ĠBowl": 33926, - "Ġelectrolytes": 33927, - "Ġbunk": 33928, - "Ġregex": 33929, - "ĠSimulation": 33930, - "hematics": 33931, - "Ġpleasures": 33932, - "Ġrejects": 33933, - "ocentric": 33934, - "Ġhallucinations": 33935, - "Ġbos": 33936, - "Ġdusk": 33937, - "ĠLS": 33938, - "ĠWealth": 33939, - "oker": 33940, - "ĠPsychiatric": 33941, - "Ġregimens": 33942, - "ĠAlgeria": 33943, - "DIS": 33944, - "åĢ": 33945, - "ĠFry": 33946, - "Ġbacklash": 33947, - "Ġresponsiveness": 33948, - "ĠLego": 33949, - "ĠRabbit": 33950, - "ĠBecome": 33951, - "Ġcedar": 33952, - "Ġpore": 33953, - "ĠLiquid": 33954, - "Ġoccult": 33955, - "Ġanalysing": 33956, - "ĠDorothy": 33957, - "gerald": 33958, - "tops": 33959, - "Atlantic": 33960, - "ĠGardening": 33961, - "cooked": 33962, - "mobile": 33963, - "Ġpaternal": 33964, - "ĠAdvantages": 33965, - "ĠIsab": 33966, - "Ġhelicopters": 33967, - "Ġindelible": 33968, - "bay": 33969, - "divided": 33970, - "nesty": 33971, - "ilers": 33972, - "ĠStern": 33973, - "Ġtreason": 33974, - "Ġcraving": 33975, - "ĠSketch": 33976, - "Ġmarveled": 33977, - "Discover": 33978, - "xit": 33979, - "ĠDante": 33980, - "Ġdisrespect": 33981, - "Ġmega": 33982, - "Ġemperors": 33983, - "Ġconfer": 33984, - "Ġredis": 33985, - "Ġfixes": 33986, - "ĠEveryday": 33987, - "ĠJimmy": 33988, - "Ġtending": 33989, - "ĠTrip": 33990, - "avian": 33991, - "Ġperceptual": 33992, - "Ġepidemi": 33993, - "ĠMichelle": 33994, - "blown": 33995, - "ĠTrop": 33996, - "Ġexemption": 33997, - "Ġseep": 33998, - "Ġallure": 33999, - "Ġrapt": 34000, - "ĠSpin": 34001, - "Ġconversions": 34002, - "Ġexemplary": 34003, - "ĠInvestigate": 34004, - "Ġdecolonization": 34005, - "ĠMats": 34006, - "Ġtrache": 34007, - "Ġcurtain": 34008, - "subprocess": 34009, - "Ġisolating": 34010, - "Ġfestive": 34011, - "ophysiology": 34012, - "Ġrewrite": 34013, - "ĠBB": 34014, - "Ġglobalized": 34015, - "Ġabnormally": 34016, - "Magn": 34017, - "Prec": 34018, - "arat": 34019, - "ĠIncluding": 34020, - "Ġunresolved": 34021, - "uprofen": 34022, - "Ġxx": 34023, - "softmax": 34024, - "Ġcoincide": 34025, - "{'": 34026, - "ĠASP": 34027, - "ameter": 34028, - "ĠCourses": 34029, - "ĠGC": 34030, - "activate": 34031, - "auri": 34032, - "biological": 34033, - "Ġrevelations": 34034, - "Hyp": 34035, - "Park": 34036, - "Ġdiure": 34037, - "ĠWei": 34038, - "Aside": 34039, - "ĠLouise": 34040, - "|'('": 34041, - "Ġpitcher": 34042, - "Ġmerger": 34043, - "Ġexacerbating": 34044, - "ĠChandra": 34045, - "Ġborough": 34046, - "|')'": 34047, - "bane": 34048, - "Ġprod": 34049, - "quist": 34050, - "ĠInvalid": 34051, - "oides": 34052, - "Ġdebut": 34053, - "Ġsniff": 34054, - "Ġyouthful": 34055, - "Come": 34056, - "Tri": 34057, - "ɪ": 34058, - "phinx": 34059, - "exam": 34060, - "Ġnorthward": 34061, - "Ġhomin": 34062, - "Ġexplosives": 34063, - "aunders": 34064, - "Ġingenious": 34065, - "Ġpopulace": 34066, - "STATUS": 34067, - "ĠDoctrine": 34068, - "Ġninety": 34069, - "ĠPtole": 34070, - "Ġflap": 34071, - "CONF": 34072, - "Ġmobilization": 34073, - "ĠShuttle": 34074, - "ÎŃ": 34075, - "Ġhither": 34076, - "Ġslogan": 34077, - "Ġdoubles": 34078, - "ĠNOTE": 34079, - "Ġbolts": 34080, - "Ġprudent": 34081, - "Rh": 34082, - "ĠFI": 34083, - "Ġpostwar": 34084, - "slot": 34085, - "Classifier": 34086, - "Ġbisc": 34087, - "asan": 34088, - "Ġorang": 34089, - "ĠEuch": 34090, - "Ġprune": 34091, - "ophysics": 34092, - "Ġambul": 34093, - "Transport": 34094, - "Ro": 34095, - "ĠNPR": 34096, - "afrost": 34097, - "Carl": 34098, - "ĠAda": 34099, - "assertIn": 34100, - "Ġ\\\"": 34101, - "ĠPassage": 34102, - "pertension": 34103, - "Ġmansion": 34104, - "ĠScul": 34105, - "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 34106, - "FM": 34107, - "Ġnotifications": 34108, - "prepared": 34109, - "banks": 34110, - "ĠFrontier": 34111, - "ĠBosnia": 34112, - "Ġwrestling": 34113, - "Ġerroneous": 34114, - "ln": 34115, - "yet": 34116, - "ĠEthereum": 34117, - "ovine": 34118, - "Ġcrank": 34119, - "Cluster": 34120, - "Ġvirtuous": 34121, - "ĠArgentine": 34122, - "Australian": 34123, - "ĠAssyrian": 34124, - "lis": 34125, - "magn": 34126, - "ĠMumbai": 34127, - "ĠDion": 34128, - "ĠNab": 34129, - "Ġgenomics": 34130, - "interaction": 34131, - "Ġsv": 34132, - "Ġinsecure": 34133, - "Ġlenders": 34134, - "Ġunlocking": 34135, - "Ġnegatives": 34136, - "ECK": 34137, - "technical": 34138, - "ĠSaxon": 34139, - "Ġpolish": 34140, - "Ġnums": 34141, - "Ġsheath": 34142, - "ĠOutline": 34143, - "folios": 34144, - "Depth": 34145, - "Ġtriglycerides": 34146, - "Ġendothelial": 34147, - "ilot": 34148, - "Ġflakes": 34149, - "Ġshepherd": 34150, - "Ġendings": 34151, - "Ġcandies": 34152, - "Ġnarrowed": 34153, - "Ġinsurmountable": 34154, - "ĠGaelic": 34155, - "ĠSimultaneously": 34156, - "configs": 34157, - "Ġfortifications": 34158, - "ĠTyler": 34159, - "ĠMechanisms": 34160, - "Ġanesthetic": 34161, - ",),": 34162, - "Ġsar": 34163, - "Ġgob": 34164, - "ĠAj": 34165, - "ĠCarson": 34166, - "Ġpreach": 34167, - "Ġregiments": 34168, - "according": 34169, - "ĠConfirm": 34170, - "Ġdownloads": 34171, - "Publisher": 34172, - "ĠTexts": 34173, - "Ġmonarchs": 34174, - "Ġsequestration": 34175, - ",))": 34176, - "Ha": 34177, - "slow": 34178, - "ĠVac": 34179, - "Ġadjoining": 34180, - "Ġresidency": 34181, - "ĠKnox": 34182, - "election": 34183, - "ä¾": 34184, - "ĠHert": 34185, - "Ġchor": 34186, - "Ġprovoked": 34187, - "Ġafterlife": 34188, - "gger": 34189, - "Ġcomposites": 34190, - "ĠCompanion": 34191, - "finished": 34192, - "Ġevacuated": 34193, - "Ġupgraded": 34194, - "Ġsabot": 34195, - "Aff": 34196, - "Scal": 34197, - "ĠACC": 34198, - "ĠVander": 34199, - "ĠLeh": 34200, - "olkien": 34201, - "Ġpornography": 34202, - "Ġkinship": 34203, - "Du": 34204, - "Ġflashing": 34205, - "ĠPeruvian": 34206, - "ĠInca": 34207, - "Ġrevolve": 34208, - "Ġregenerate": 34209, - "mis": 34210, - "ĠHess": 34211, - "ĠGul": 34212, - "appings": 34213, - "Story": 34214, - "Ġbadge": 34215, - "ĠOptical": 34216, - "(',": 34217, - "felt": 34218, - "Ġstigmat": 34219, - "Ġcomplicate": 34220, - "Ġcontests": 34221, - "Ġcols": 34222, - "interpret": 34223, - "Ġroofing": 34224, - "Species": 34225, - "squeeze": 34226, - "Ê»": 34227, - "heli": 34228, - "Ġreed": 34229, - "Ġ(@": 34230, - "unned": 34231, - "ansen": 34232, - "Ġcheckups": 34233, - "Ġvaluation": 34234, - "Assessment": 34235, - "aaS": 34236, - "ophilic": 34237, - "Important": 34238, - "Ġtumultuous": 34239, - "ectors": 34240, - "ĠGrab": 34241, - "Ġplasm": 34242, - "Ġkangar": 34243, - "rica": 34244, - "Ġpopularized": 34245, - "Plants": 34246, - "ĠTreasure": 34247, - "Formatter": 34248, - "Ġexceedingly": 34249, - "Queue": 34250, - "?).": 34251, - "lens": 34252, - "irin": 34253, - "Ġconclusive": 34254, - "Ġquake": 34255, - "Ġprototyping": 34256, - "ĠRecommendations": 34257, - "uitive": 34258, - "ĠBoolean": 34259, - "ASK": 34260, - "Ġarchipelago": 34261, - "Ġfragrance": 34262, - "ocyan": 34263, - "Ġconcurrently": 34264, - "idences": 34265, - "ĠAri": 34266, - "Ġprolet": 34267, - "ĠHouses": 34268, - "Ġcurtains": 34269, - "valued": 34270, - "classifier": 34271, - "Ġconcentrates": 34272, - "Ġsenators": 34273, - "Ġmarvelous": 34274, - "Directory": 34275, - "Ġmacrophages": 34276, - "MED": 34277, - "Sad": 34278, - "bie": 34279, - "Ġinlet": 34280, - "ersen": 34281, - "Ġoutgoing": 34282, - "rugu": 34283, - "ĠHeroes": 34284, - "Ġelemental": 34285, - "Ġclarified": 34286, - "embeddings": 34287, - "Ġrifles": 34288, - "Ġimplicitly": 34289, - "ifi": 34290, - "Ġtractor": 34291, - "ĠRescue": 34292, - "Ġliterate": 34293, - "Ġmelts": 34294, - "Ġpersuasion": 34295, - "Picture": 34296, - "YY": 34297, - "mese": 34298, - "tale": 34299, - "ĠFay": 34300, - "Ġquasi": 34301, - "Ġinteracted": 34302, - "rontal": 34303, - "seeking": 34304, - "Ġironic": 34305, - "burning": 34306, - "Ġconsolidate": 34307, - "ĠHansen": 34308, - "Ġelliptical": 34309, - "Rom": 34310, - "Vir": 34311, - "ĠTEST": 34312, - "ĠFetch": 34313, - "ĠLinn": 34314, - "ascal": 34315, - "increasing": 34316, - "pn": 34317, - "esta": 34318, - "Ġhumili": 34319, - "Ġchemists": 34320, - "ĠMarkets": 34321, - "Coord": 34322, - "Ġcuff": 34323, - "Ġwil": 34324, - "Ġpacing": 34325, - "ĠMixed": 34326, - "things": 34327, - "Ġovens": 34328, - "Ġsymbiotic": 34329, - "Ġpredisposition": 34330, - "lov": 34331, - "Äĥ": 34332, - "arya": 34333, - "ĠQR": 34334, - "Ġsubstituted": 34335, - "ĠPrepared": 34336, - "ĠMinneapolis": 34337, - "ĠStarted": 34338, - "Ġdecompose": 34339, - "ĠKuwait": 34340, - "ĠSahara": 34341, - "OFF": 34342, - "few": 34343, - "čĊĠĠĠĠĠ": 34344, - "itatively": 34345, - "Ġegal": 34346, - "Ġruth": 34347, - "ubon": 34348, - "Ġthroughput": 34349, - "Ġextremities": 34350, - "skilled": 34351, - "Ġpooling": 34352, - "Ġcovariance": 34353, - "ĠRecommended": 34354, - "Sure": 34355, - "ččĊĠĠĠĠĠĠĠĠ": 34356, - "among": 34357, - "ĠCitation": 34358, - "ĠDad": 34359, - "Ġclicks": 34360, - "iane": 34361, - "Ġslang": 34362, - "Optim": 34363, - "Ġaccreditation": 34364, - "âĢłâĢł": 34365, - "ĠProcedures": 34366, - "Ġpity": 34367, - "Alter": 34368, - "ĠStephan": 34369, - "Ġintegrative": 34370, - "Ġneutralize": 34371, - "Ġpearl": 34372, - "Fat": 34373, - "ĠACE": 34374, - "terminal": 34375, - "Ġshipwre": 34376, - "Ġvertebrate": 34377, - "ĠRatio": 34378, - "!'": 34379, - "Ġmoose": 34380, - "Ġpathogenesis": 34381, - "ĠJustin": 34382, - "Ġsequenced": 34383, - "Ġfilmmakers": 34384, - "sweet": 34385, - "Summer": 34386, - "laws": 34387, - "assembly": 34388, - "ĠPoles": 34389, - "Ġvested": 34390, - "ĠHamburg": 34391, - "Ġunlawful": 34392, - "Ġpolarity": 34393, - "Ġcrev": 34394, - "Ġidentifiers": 34395, - "Ġsymphony": 34396, - "contamination": 34397, - "Ġvisionary": 34398, - "Ġdehydrated": 34399, - "Ġmurders": 34400, - "Ġfollicles": 34401, - "inic": 34402, - "Ġlys": 34403, - "ulo": 34404, - "Ġanorexia": 34405, - "ĠThesis": 34406, - "Ġleopard": 34407, - "Ġkicking": 34408, - "Ġmedals": 34409, - "Ġzoos": 34410, - "ĠFlora": 34411, - "VIEW": 34412, - "ĠFemales": 34413, - "Missing": 34414, - "ĠMacedonia": 34415, - "Choosing": 34416, - "gather": 34417, - "ĠCNS": 34418, - "Ġdetained": 34419, - "assertEquals": 34420, - "ĠJesse": 34421, - "ADHD": 34422, - "Ġsubscribers": 34423, - "Ġcautiously": 34424, - "ĠFranç": 34425, - "ĠMozambique": 34426, - "cumin": 34427, - "horn": 34428, - "iatives": 34429, - "mys": 34430, - "Ġcages": 34431, - "Ġbou": 34432, - "ĠAsked": 34433, - "Agricult": 34434, - "Ġmarvels": 34435, - "Ġcongregations": 34436, - "ilo": 34437, - "Ġcanoe": 34438, - "ĠOceans": 34439, - "ashtra": 34440, - "Ġknitting": 34441, - "ĠNegot": 34442, - "Ġcmap": 34443, - "geons": 34444, - "Ġspouses": 34445, - "ĠKru": 34446, - "Ġbiking": 34447, - "Ġlocalization": 34448, - "Ġconstructor": 34449, - "Ġlieutenant": 34450, - "Ġtonight": 34451, - "ĠCalled": 34452, - "ĠAquarium": 34453, - "roviral": 34454, - "ĠNigerian": 34455, - "ĠAyurveda": 34456, - "vid": 34457, - "ilant": 34458, - "Ġgour": 34459, - "Ġtying": 34460, - "ĠRevenue": 34461, - "ELTS": 34462, - "heed": 34463, - "ĠInclusive": 34464, - "Ġdove": 34465, - "ĠPercent": 34466, - "ĠFrancisc": 34467, - "Ġlockdown": 34468, - "Ġwalnuts": 34469, - "ĠCertification": 34470, - "ĠChronicles": 34471, - "Ġtrumpet": 34472, - "aso": 34473, - "Ġnx": 34474, - "ĠMY": 34475, - "agree": 34476, - "ECH": 34477, - "Ġhomage": 34478, - "Ġcomplaining": 34479, - "Ġboredom": 34480, - "fm": 34481, - "got": 34482, - "mong": 34483, - "ĠOB": 34484, - "Ġmultilateral": 34485, - "Complete": 34486, - "Ġsynerg": 34487, - "Authent": 34488, - "scripts": 34489, - "Ġaerosols": 34490, - "Ġsubgenre": 34491, - "Ġstrenuous": 34492, - "Åĵ": 34493, - "ĠSue": 34494, - "Ġsyphilis": 34495, - "ĠAnth": 34496, - "NAS": 34497, - "ĠPractition": 34498, - "apiens": 34499, - "RCA": 34500, - "Ġarisen": 34501, - "Ing": 34502, - "ulla": 34503, - "Ġpsychosis": 34504, - "Artificial": 34505, - "Ġhalted": 34506, - "ĠFeminist": 34507, - "Ġcontingency": 34508, - "ĠHimalayas": 34509, - "dard": 34510, - "Ġcries": 34511, - "ceph": 34512, - "onset": 34513, - "ĠUnicode": 34514, - "Ġswamps": 34515, - "Ġurgently": 34516, - "ĠGenerated": 34517, - "ĠChilean": 34518, - "LM": 34519, - "fel": 34520, - "Ġwatered": 34521, - "Ġhors": 34522, - "oko": 34523, - "processors": 34524, - "Ġfranc": 34525, - "Ġcherries": 34526, - "ĠBuddhists": 34527, - "iwi": 34528, - "ĠGateway": 34529, - "ĠAmidst": 34530, - "Ġinbox": 34531, - "Ġ*,": 34532, - "Properties": 34533, - "ĠMcL": 34534, - "riendly": 34535, - "ка": 34536, - "inja": 34537, - "erical": 34538, - "ĠCAM": 34539, - "Ġimpede": 34540, - "ĠKom": 34541, - "ĠAlleg": 34542, - "Ġsteaming": 34543, - "Ġhourly": 34544, - "Ġmediator": 34545, - "Ġindulge": 34546, 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"Ġuncontroll": 34596, - "retched": 34597, - "Forest": 34598, - "kines": 34599, - "Ġwarrants": 34600, - "disabled": 34601, - "Ġprayed": 34602, - "Ġhorrific": 34603, - "templates": 34604, - "Ġlends": 34605, - "imaging": 34606, - "olip": 34607, - "plural": 34608, - "Ġabide": 34609, - "Ġroasting": 34610, - "Ġrecap": 34611, - "oki": 34612, - "heading": 34613, - "ĠPreserve": 34614, - "ĠEliot": 34615, - "ĠPOS": 34616, - "osteroids": 34617, - "ĠInform": 34618, - "ensory": 34619, - "Ġcoloration": 34620, - "unsaturated": 34621, - "Ġescalate": 34622, - "Ġcompanionship": 34623, - "scientists": 34624, - "âĻ": 34625, - "ĠIBS": 34626, - "ĠWorm": 34627, - "Ġsoaring": 34628, - "ĠStyles": 34629, - "Ġpostpartum": 34630, - "Ġfallacy": 34631, - "ĠParallel": 34632, - "Ġcasts": 34633, - "ĠDecide": 34634, - "ĠFeast": 34635, - "Ġcolourful": 34636, - "ĠBaghdad": 34637, - "elope": 34638, - "otives": 34639, - "ĠDATA": 34640, - "ĠMinisters": 34641, - "Ġsecretions": 34642, - "documents": 34643, - "ĠAlgorithm": 34644, - "sein": 34645, - "lyss": 34646, - "ocultural": 34647, - "Ġdiffraction": 34648, - "ihu": 34649, - "Ġlobbying": 34650, - "Ġredesign": 34651, - "gue": 34652, - "Ġreconnect": 34653, - "Ġphotoc": 34654, - "vertices": 34655, - "millan": 34656, - "Insert": 34657, - "Ġinterchangeably": 34658, - "Ġcourtyard": 34659, - "ocarbon": 34660, - "ĠRAF": 34661, - "Ġbiochemistry": 34662, - "ogenes": 34663, - "ĠDavies": 34664, - "ĠTrials": 34665, - "ĠPlanetary": 34666, - "ĠChapman": 34667, - "Sound": 34668, - "Ġ(%": 34669, - "ĠMask": 34670, - "ĠDum": 34671, - "Ġdiabetics": 34672, - "ĠWorlds": 34673, - "ylim": 34674, - "ĠGardner": 34675, - "ĠTurning": 34676, - "ĠBarnes": 34677, - "Ġenlargement": 34678, - "Ġmangrove": 34679, - "Ġbuys": 34680, - "Ġfullness": 34681, - "CLUD": 34682, - "Extract": 34683, - "Ġdowntime": 34684, - "Ġmiscarriage": 34685, - "Ġmall": 34686, - "ĠRSS": 34687, - "Ġperished": 34688, - "ĠRecreation": 34689, - "ringes": 34690, - "ĠSixth": 34691, - "Ġupp": 34692, - "Ġvortex": 34693, - "ĠDw": 34694, - "ĠUnknown": 34695, - "Ġattaches": 34696, - "Ġactivating": 34697, - "Death": 34698, - "Ġgarnered": 34699, - "young": 34700, - "Ġbenchmarks": 34701, - "ĠVegas": 34702, - "ĠCrick": 34703, - "Ġabort": 34704, - "minor": 34705, - "Ġcommentators": 34706, - "ĠRockefeller": 34707, - "Ġtelome": 34708, - "Ġbinoculars": 34709, - "?.": 34710, - "Ġsuction": 34711, - "ffff": 34712, - "ĠOrbit": 34713, - "ĠMayan": 34714, - "ĠCarp": 34715, - "Ġwarmed": 34716, - "Ġwaveform": 34717, - "Ġplugs": 34718, - "supervised": 34719, - "ĠPeterson": 34720, - "Ġpersecuted": 34721, - "bd": 34722, - "calls": 34723, - "gins": 34724, - "Ġpiqued": 34725, - "ĠAram": 34726, - "teaching": 34727, - "compl": 34728, - "Ġinflow": 34729, - "argmax": 34730, - "eger": 34731, - "ĠFunding": 34732, - "ĠGraphics": 34733, - "eroon": 34734, - "Ġcemeteries": 34735, - "Ġeternity": 34736, - "Ġalpine": 34737, - "Ġusability": 34738, - "Ġdisplace": 34739, - "ĠUnix": 34740, - "Ġfuller": 34741, - "Ġsheltered": 34742, - 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"Ġhesitation": 34794, - "formerly": 34795, - "ESCRIPT": 34796, - "otropic": 34797, - "aphylococcus": 34798, - "Ġunavoidable": 34799, - "Mount": 34800, - "ĠMusk": 34801, - "Ġprohibiting": 34802, - "Ġunfairly": 34803, - "Domain": 34804, - "Budd": 34805, - "Safe": 34806, - "tales": 34807, - "ĠCic": 34808, - "yson": 34809, - "ĠBlo": 34810, - "Soil": 34811, - "Ġcommentaries": 34812, - "Ġkiln": 34813, - "Ġgallbladder": 34814, - "ĠPubMed": 34815, - "Ġesteemed": 34816, - "%||": 34817, - "tis": 34818, - "reliance": 34819, - "ĠTribe": 34820, - "ĠCrist": 34821, - "Ġbiot": 34822, - "rolls": 34823, - "ĠSTAT": 34824, - "ĠEntom": 34825, - "ĠBast": 34826, - "ĠBris": 34827, - "ĠBottom": 34828, - "Ġspies": 34829, - "Ġplanner": 34830, - "Ġcontentious": 34831, - "ĠGlob": 34832, - "ĠDirective": 34833, - "Johnson": 34834, - "Ġpenetrating": 34835, - "Ġunfolded": 34836, - "Ġmaneuvers": 34837, - "Ġrenovation": 34838, - "GW": 34839, - "Material": 34840, - "×IJ": 34841, - "alted": 34842, - "ĠKurt": 34843, - "Ġhymn": 34844, - "RGB": 34845, - "ĠDru": 34846, - "Ġwillow": 34847, - "ĠIndus": 34848, - "ĠÎĶ": 34849, - "Ġabstinence": 34850, - "ĠCavalry": 34851, - "wrong": 34852, - "Ġrejo": 34853, - "ĠAWS": 34854, - "Ġincandescent": 34855, - "ĠJesuit": 34856, - "APH": 34857, - "feel": 34858, - "bellum": 34859, - "Ġgerminate": 34860, - "SOURCE": 34861, - "Ġgoggles": 34862, - "otus": 34863, - "ĠGlenn": 34864, - "handlers": 34865, - "travel": 34866, - "Ġfestivities": 34867, - "Ġparsing": 34868, - ">`": 34869, - "ĠFusion": 34870, - "Ġstrongh": 34871, - "ĠNeck": 34872, - "Ġexecutable": 34873, - "Ġjuxtap": 34874, - "ĠSmaller": 34875, - "Database": 34876, - "ĠSlavic": 34877, - "ÃŁ": 34878, - "ocin": 34879, - "ĠNLP": 34880, - "Ġprimate": 34881, - "Ġperformer": 34882, - "translation": 34883, - "ĠMastering": 34884, - "ĠâĨ©": 34885, - "Ġdew": 34886, - "ĠEmissions": 34887, - "Ġacknowledgement": 34888, - "Ġstewards": 34889, - "ĠHuntington": 34890, - "Expression": 34891, - "Advanced": 34892, - "ĠMild": 34893, - "Ġrequisite": 34894, - "Ġcystic": 34895, - "numbered": 34896, - "Ġpredictors": 34897, - "limits": 34898, - "ĠBelize": 34899, - "worthiness": 34900, - "propag": 34901, - "Ġtimedelta": 34902, - "ĠNeurology": 34903, - "ĠNashville": 34904, - "Ġrearrange": 34905, - "buck": 34906, - "Ġnymph": 34907, - "ĠTill": 34908, - "ibe": 34909, - "Ġremission": 34910, - "Ġcontraceptive": 34911, - "ophilia": 34912, - "Ġunderestimated": 34913, - "ĠLarger": 34914, - "Cas": 34915, - "Ġmailing": 34916, - "Ġdancer": 34917, - "ĠDob": 34918, - "ĠStef": 34919, - "Ġexplode": 34920, - "figsize": 34921, - "Ġcrispy": 34922, - "Ġdentures": 34923, - "Ġmildew": 34924, - "Ġbroadcasts": 34925, - "Ġpriesthood": 34926, - "Jones": 34927, - "culation": 34928, - "ĠIroqu": 34929, - "Ġrarity": 34930, - "Ġbrethren": 34931, - "Ġtrademarks": 34932, - "DUCT": 34933, - "TAG": 34934, - "romagnetic": 34935, - "ĠConsequences": 34936, - "ĠAssuming": 34937, - "ĠTracking": 34938, - "ĠLearned": 34939, - "Ġionic": 34940, - "Ġaggregates": 34941, - "ĠHaitian": 34942, - "Ġdissatisfaction": 34943, - "Ġartefacts": 34944, - "Ġundisturbed": 34945, - "Hon": 34946, - "bish": 34947, - "gm": 34948, - "ĠDuck": 34949, - "ĠNamed": 34950, - "iddish": 34951, - "ĠTeams": 34952, - "Ġinflated": 34953, - "ĠSignificant": 34954, - "ĠHarvest": 34955, - "ĠFluid": 34956, - "Ġfingerprints": 34957, - "Fill": 34958, - "ivary": 34959, - "Ġlocking": 34960, - "Ġmagnification": 34961, - "Ġpetrol": 34962, - "Ġsynonym": 34963, - "Ġwarranty": 34964, - "Ġexhilar": 34965, - "ع": 34966, - "Ġslug": 34967, - "ellate": 34968, - "Ġinfrast": 34969, - "Ġhernia": 34970, - "Ġolds": 34971, - "ĠBiom": 34972, - "Ġbiofuel": 34973, - "ĠEstonia": 34974, - "Ġtragedies": 34975, - "belt": 34976, - "dan": 34977, - "æŃ": 34978, - "ieving": 34979, - "Ġunnatural": 34980, - "ĠAsians": 34981, - "Ġbrisk": 34982, - "ĠEmotions": 34983, - "Ġrefriger": 34984, - "nos": 34985, - "islation": 34986, - "ĠSets": 34987, - "Ġsparking": 34988, - "Ġdefendants": 34989, - "ĠFurn": 34990, - "ĠFIG": 34991, - "Ġinterruption": 34992, - "Ġterminate": 34993, - "Ġrevive": 34994, - "Ġpolyps": 34995, - "ĠSymposium": 34996, - "ĠScandinavia": 34997, - "Ġhatching": 34998, - "Ġafflict": 34999, - "Ġreacted": 35000, - "Ġ_____": 35001, - "Ġpropensity": 35002, - "ĠSchne": 35003, - "Urban": 35004, - "/?": 35005, - "Ġnylon": 35006, - "Ġiterate": 35007, - "Ġsued": 35008, - "ĠDelivery": 35009, - "ĠTeh": 35010, - "Ġvisualizations": 35011, - "Ġhandsome": 35012, - "Diabetes": 35013, - "Ġmetaphorical": 35014, - "Ġlexical": 35015, - "æ³": 35016, - "revision": 35017, - "Ġpessim": 35018, - "administ": 35019, - "Ġatrial": 35020, - "Ġdistortions": 35021, - "Ġnovelist": 35022, - "ĠPatricia": 35023, - "Ġsqlalchemy": 35024, - "Ġsyndromes": 35025, - "Dry": 35026, - "Winter": 35027, - "ĠGang": 35028, - "cling": 35029, - "olla": 35030, - "ITION": 35031, - "Ġloader": 35032, - "Ġapology": 35033, - "ĠLiberia": 35034, - "Ġcompensated": 35035, - "ĠTasmania": 35036, - "GN": 35037, - "vt": 35038, - "Ġgenerously": 35039, - "();": 35040, - "Ġelapsed": 35041, - "Ġparrot": 35042, - "starting": 35043, - "Aqu": 35044, - "Ġaortic": 35045, - "Ġtrivia": 35046, - "Ġdont": 35047, - "manual": 35048, - "Ġbehaving": 35049, - "arianism": 35050, - "located": 35051, - "occurring": 35052, - "Ġvapour": 35053, - "daughter": 35054, - "robe": 35055, - "ĠIEP": 35056, - "ĠPreviously": 35057, - "rosive": 35058, - "ĠJudith": 35059, - "Flag": 35060, - "ĠAhmad": 35061, - "Ġthermostat": 35062, - "Ġreintrodu": 35063, - "Ġexits": 35064, - "Ġawakening": 35065, - "ĠGenealog": 35066, - "ĠPentecost": 35067, - "Corn": 35068, - "oliberal": 35069, - "odian": 35070, - "andum": 35071, - "orta": 35072, - "ĠReasons": 35073, - "guid": 35074, - "ĠKumar": 35075, - "sight": 35076, - "uities": 35077, - "Ġthwart": 35078, - "Ġtrailing": 35079, - "ĠMyers": 35080, - "ĠJulie": 35081, - "Component": 35082, - "lp": 35083, - "Ġpenguin": 35084, - "clim": 35085, - "ĠCompliance": 35086, - "Ġshortening": 35087, - "keyword": 35088, - "Ġdealer": 35089, - "म": 35090, - "ĠEmbed": 35091, - "Explanation": 35092, - "Ġdemolition": 35093, - "æĪIJ": 35094, - "ĠBreathing": 35095, - "ĠAutonomous": 35096, - "Dear": 35097, - "icist": 35098, - "idium": 35099, - "ĠMg": 35100, - "queeze": 35101, - "Ġworldly": 35102, - "rigation": 35103, - "Ġvoila": 35104, - "Ġsavvy": 35105, - "Ġplatelets": 35106, - "efficacy": 35107, - "Ġresorting": 35108, - "heartedly": 35109, - "Ġconsonants": 35110, - "Ġmattress": 35111, - "Emp": 35112, - "Mu": 35113, - "Ġmuff": 35114, - "Ġamber": 35115, - "Ġcharities": 35116, - "ĠDebt": 35117, - "Ġbrood": 35118, - "ĠDriving": 35119, - "Ġselects": 35120, - "specified": 35121, - "Ġconvened": 35122, - "-----------------------------": 35123, - "ĠPublisher": 35124, - "Ġnostalgia": 35125, - "hub": 35126, - "Ġunpaid": 35127, - "Ġsituational": 35128, - "Ġflooring": 35129, - "ãĥ¼": 35130, - "Ġasynchronous": 35131, - "âĨĴ": 35132, - "ĠFerguson": 35133, - "Ġmuddy": 35134, - "ĠMAR": 35135, - "ĠPiet": 35136, - "ĠTheme": 35137, - "ĠWR": 35138, 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41669, - "Sci": 41670, - "çIJ": 41671, - "atonic": 41672, - "antage": 41673, - "ĠGift": 41674, - "awatt": 41675, - "Ġbranched": 41676, - "Ġmultiv": 41677, - "ĠChev": 41678, - "ãģĦ": 41679, - "erenced": 41680, - "Ġcannons": 41681, - "Ġvagu": 41682, - "('.//": 41683, - "Ġpears": 41684, - "Ġextermination": 41685, - "ĠBRCA": 41686, - "ĠDive": 41687, - "ĠOA": 41688, - "Ġwills": 41689, - "composition": 41690, - "Ġdelights": 41691, - "Ġlandowner": 41692, - "coe": 41693, - "Ġprobation": 41694, - "ĠFloor": 41695, - "Ġmounts": 41696, - "ĠJournalism": 41697, - "Ġsweetener": 41698, - "ĠAdvice": 41699, - "Edward": 41700, - "ocytic": 41701, - "Ġcommissioners": 41702, - "ozo": 41703, - "Identifying": 41704, - "Ġgorilla": 41705, - "Wrap": 41706, - "unken": 41707, - "Ġwiden": 41708, - "ETA": 41709, - "ĠBrett": 41710, - "ĠErrors": 41711, - "Axis": 41712, - "Ġoo": 41713, - "icile": 41714, - "Ġejected": 41715, - "Ġstitching": 41716, - "ĠSail": 41717, - "ĠCoding": 41718, - "ipur": 41719, - "ĠKell": 41720, 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42901, - "Ġcharacterizes": 42902, - "ĠInstant": 42903, - "ĠContributions": 42904, - "Ġauditing": 42905, - "validator": 42906, - "Äģr": 42907, - "ĠStonehenge": 42908, - "Ġculprits": 42909, - "Ġunderscored": 42910, - "Ġexoplanets": 42911, - "ä¾ĭ": 42912, - "Ġdefinitively": 42913, - "Pip": 42914, - "creating": 42915, - "tze": 42916, - "ĠDSL": 42917, - "Ġsmelling": 42918, - "Ġgrader": 42919, - "ĠResidents": 42920, - "ĠEmory": 42921, - "Ġdeadliest": 42922, - "Ġdiameters": 42923, - "ĠNicolas": 42924, - "Marine": 42925, - "oglobulin": 42926, - "ĠBalkan": 42927, - "arcinoma": 42928, - "ĠPfizer": 42929, - "Ġdystopian": 42930, - ")âĢĿ": 42931, - "chal": 42932, - "actyl": 42933, - "Ġ\",\"": 42934, - "Ġliteratures": 42935, - "Ġnetworked": 42936, - "district": 42937, - "ĠAuthorities": 42938, - "ĠSeparation": 42939, - "MainWindow": 42940, - "ĠKathleen": 42941, - "Presentation": 42942, - "accharide": 42943, - "ĠLisbon": 42944, - "Ġgiraffes": 42945, - "ĠAsperger": 42946, - "ĠFranciscan": 42947, - 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"emptive": 43191, - "steroidal": 43192, - "Ġsearchable": 43193, - "\"]))": 43194, - "Ġdecrees": 43195, - "ĠISP": 43196, - "Ġacknowledgment": 43197, - "Ġadhesives": 43198, - "ĠRudolf": 43199, - "healing": 43200, - "roi": 43201, - "ĠPep": 43202, - "ĠPneum": 43203, - "umina": 43204, - "ĠJL": 43205, - "Ġinvitations": 43206, - "Ġinterdependent": 43207, - "Ġcurtail": 43208, - "shoot": 43209, - "Ġbiopsies": 43210, - "ĠSuitable": 43211, - "STEP": 43212, - "Reason": 43213, - "Ġnarrated": 43214, - "ĠDubai": 43215, - "Ġpauses": 43216, - "Electronic": 43217, - "ĠSequential": 43218, - "Ġsemiconductors": 43219, - "Ġcancellation": 43220, - "ĠStephanie": 43221, - "æµ": 43222, - "erville": 43223, - "ĠUnified": 43224, - "Ġextinctions": 43225, - "Ġcurricular": 43226, - "Ġtreasured": 43227, - "Ġchoke": 43228, - "Ġwelded": 43229, - "ĠDalai": 43230, - "Ġdeformities": 43231, - "Bound": 43232, - "junct": 43233, - "vitamin": 43234, - "Ġsul": 43235, - "league": 43236, - "ĠWonders": 43237, - "ĠFau": 43238, - 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43488, - "Veget": 43489, - "Lily": 43490, - "Ġinclusions": 43491, - "ĠMae": 43492, - "Ġcontends": 43493, - "Ġacclaim": 43494, - "Ġglomer": 43495, - "Ġcaptives": 43496, - "ĠTwentieth": 43497, - "Ġpropane": 43498, - "ĠIrrigation": 43499, - "Ġadmirable": 43500, - "Ġoutlawed": 43501, - "ĠTrying": 43502, - "EXP": 43503, - "ĠLEED": 43504, - "Ġinauguration": 43505, - "Ġencroachment": 43506, - "Actions": 43507, - "pans": 43508, - "|\\": 43509, - "Ġtbsp": 43510, - "Ġpym": 43511, - "Ġpudding": 43512, - "Ġtoggle": 43513, - "entanyl": 43514, - "ĠTYPE": 43515, - "Ġchocol": 43516, - "ĠStages": 43517, - "cystic": 43518, - "Ġconcave": 43519, - "ĠAsset": 43520, - "Ġliquef": 43521, - "ĠConnected": 43522, - "Ġrabbi": 43523, - "Ġdeterministic": 43524, - "routine": 43525, - "-.": 43526, - "aeda": 43527, - "cong": 43528, - "policies": 43529, - "ÙĤ": 43530, - "icher": 43531, - "Ġ(_": 43532, - "ectoral": 43533, - "ĠThur": 43534, - "undo": 43535, - "ecology": 43536, - "Ġdrunken": 43537, - "='/": 43538, - 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"Ġchina": 43636, - "ĠJab": 43637, - "sofar": 43638, - "Ġscrib": 43639, - "inkling": 43640, - "ĠLeast": 43641, - "Ġgeospatial": 43642, - "ĠTransparency": 43643, - "scheme": 43644, - "hythmia": 43645, - "ĠHodg": 43646, - "ubilee": 43647, - "dwell": 43648, - "ticks": 43649, - "inatal": 43650, - "Ġhare": 43651, - "Ġpoke": 43652, - "ĠQin": 43653, - "``,": 43654, - "ĠSchema": 43655, - "ĠEditing": 43656, - "ukes": 43657, - "ĠDeficit": 43658, - "ĠGreenpeace": 43659, - "ĠOutreach": 43660, - "Ġwithdrawing": 43661, - "า": 43662, - "Ġfisherman": 43663, - "ĠBrainstorm": 43664, - "Ġamputation": 43665, - "vian": 43666, - "want": 43667, - "atype": 43668, - "itizing": 43669, - "Ġinp": 43670, - "Ġeaves": 43671, - "ĠFC": 43672, - "ĠNina": 43673, - "Ġsocialize": 43674, - "ĠGuam": 43675, - "omyc": 43676, - "aturity": 43677, - "HOME": 43678, - "Browse": 43679, - "ĠAcknowledge": 43680, - "Pakistan": 43681, - "aer": 43682, - "dq": 43683, - "aturing": 43684, - "emaker": 43685, - "ĠDense": 43686, - "Ġshuff": 43687, - "Ġmegal": 43688, - "pregn": 43689, - "ĠGenomics": 43690, - "Ġannum": 43691, - "ĠVirgil": 43692, - "smooth": 43693, - "existence": 43694, - "ĠSandra": 43695, - "ĠSeparate": 43696, - "ĠLayers": 43697, - "ĠEDT": 43698, - "Ġprotoz": 43699, - "IAN": 43700, - "bh": 43701, - "ÄŁ": 43702, - "Ġhr": 43703, - "utans": 43704, - "opies": 43705, - "Ġrgb": 43706, - "ĠOkin": 43707, - "Ġkinetics": 43708, - "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 43709, - "ylan": 43710, - "Ġknob": 43711, - "Ġoxidized": 43712, - "Speech": 43713, - "Json": 43714, - "fri": 43715, - "Ġbucks": 43716, - "Ġeel": 43717, - "ĠPJ": 43718, - "ĠDRC": 43719, - "ĠNim": 43720, - "tershire": 43721, - "Ġcutters": 43722, - "Ġexcelled": 43723, - "Ġoscillation": 43724, - "Ġreferees": 43725, - "ĠConfucius": 43726, - "leet": 43727, - "olks": 43728, - "ĠBSD": 43729, - "Ġadmon": 43730, - "Ġcommens": 43731, - "Ġuphill": 43732, - "Ġdecel": 43733, - "ĠAlien": 43734, - "ophytes": 43735, - "Ġnoticeably": 43736, - "significant": 43737, - "ĠMacedonian": 43738, - "Wilson": 43739, - "atosis": 43740, - "ĠSERV": 43741, - "ĠCoh": 43742, - "ĠWalls": 43743, - "itext": 43744, - "Ġexponents": 43745, - "ĠEngl": 43746, - "Ġsentimental": 43747, - "ĠPepper": 43748, - "ĠMarin": 43749, - "ĠMissile": 43750, - "Emily": 43751, - "ĠProduce": 43752, - "Ġfen": 43753, - "amber": 43754, - "abets": 43755, - "ĠLus": 43756, - "ellites": 43757, - "iphy": 43758, - "ĠJoa": 43759, - "ovina": 43760, - "Ġgliding": 43761, - "Ġqualifies": 43762, - "Cola": 43763, - "apiro": 43764, - "ĠMartinez": 43765, - "rusions": 43766, - "ĠHyder": 43767, - "Ġfingern": 43768, - "judice": 43769, - "ĠCoordination": 43770, - "ĠAnatolia": 43771, - "Ġladen": 43772, - "Ġwitty": 43773, - "æŀľ": 43774, - "esarean": 43775, - "kon": 43776, - "Ġoracle": 43777, - "strict": 43778, - "ĠCannabis": 43779, - "Ġrang": 43780, - "Ġshunt": 43781, - "lightly": 43782, - "Ġdieting": 43783, - "čĊĉĉĉĉ": 43784, - "âĢ¦..": 43785, - "Shift": 43786, - "ĠSchwarz": 43787, - "[::-": 43788, - "olyb": 43789, - "Ġcontradicts": 43790, - "Ġinhaling": 43791, - "ĠAssyria": 43792, - "Ġeigenvalues": 43793, - "Ġparaphrase": 43794, - "Ġopposites": 43795, - "cens": 43796, - "Ġsaga": 43797, - "ĠMolly": 43798, - "ĠHLA": 43799, - "Ġsubterranean": 43800, - "Ġreprogram": 43801, - "ĠShaping": 43802, - "Ġpathologist": 43803, - "ĠAfterwards": 43804, - "Ġpalae": 43805, - "Ġscripting": 43806, - "ĠAccom": 43807, - "Ġskeptics": 43808, - "Ġvacations": 43809, - "Ġblindly": 43810, - "aternary": 43811, - "ĠCosmic": 43812, - "Ġcrickets": 43813, - "Ġpolyphenols": 43814, - "Ġhilarious": 43815, - "tus": 43816, - "combe": 43817, - "Ġsubdivision": 43818, - "ĠHeating": 43819, - "Ġdepress": 43820, - "measured": 43821, - "ROP": 43822, - "Ġscriptural": 43823, - "ĠInstructional": 43824, - "Ġauspices": 43825, - "Ġartisanal": 43826, - "ĠCarpenter": 43827, - "æ¨": 43828, - "ĠCSI": 43829, - "ĠMate": 43830, - "acio": 43831, - "athy": 43832, - "ĠAnticip": 43833, - "ĠMetals": 43834, - "Constant": 43835, - "Ġescalation": 43836, - "Creative": 43837, - "Ġacquaintances": 43838, - "Ġemanating": 43839, - "Ġfuselage": 43840, - "Msg": 43841, - "Ġabbey": 43842, - "igning": 43843, - "Ġhermit": 43844, - "encycl": 43845, - "Ġsimplex": 43846, - "contour": 43847, - "ĠSuf": 43848, - "ĠPhDs": 43849, - "ĠHammer": 43850, - "ĠWoodrow": 43851, - "Ġmirroring": 43852, - "ĠMagnet": 43853, - "ĠPregnant": 43854, - "Ġhummingbirds": 43855, - "å¼ı": 43856, - "Ġstronghold": 43857, - "MetaInfoClass": 43858, - "GPS": 43859, - "preprocessing": 43860, - "Ġmodernism": 43861, - "ONS": 43862, - "Ġseparator": 43863, - "ĠMetabolic": 43864, - "masters": 43865, - "Ġhorsepower": 43866, - "Ġyeasts": 43867, - "Ġlobster": 43868, - "ĠSusp": 43869, - "ĠAutomated": 43870, - "Ġinpatient": 43871, - "Ġclassed": 43872, - "Ġrestitution": 43873, - "sphere": 43874, - "=\"<": 43875, - "Ġdatas": 43876, - "ĠGuards": 43877, - "ALT": 43878, - "Ġsnout": 43879, - "Received": 43880, - "ĠVoltage": 43881, - "Plastic": 43882, - "Ġgunpowder": 43883, - "ĠPlacement": 43884, - "Ġsplint": 43885, - "sentences": 43886, - "ĠDimensions": 43887, - "Ġdoctrinal": 43888, - "Gram": 43889, - "pies": 43890, - "Intrigued": 43891, - "Ġunsur": 43892, - "twentieth": 43893, - "GRAPH": 43894, - "Operations": 43895, - "ounsaturated": 43896, - "Ġamphibious": 43897, - "ĠVolcano": 43898, - "Ġinconvenient": 43899, - ">\")": 43900, - "fee": 43901, - "ĠčĊĉ": 43902, - "Ġpane": 43903, - "ĠTran": 43904, - "chdir": 43905, - "Ġbegging": 43906, - "),(": 43907, - "Ġpsychotic": 43908, - "Ġtreehouse": 43909, - "Ġwaits": 43910, - "ĠSyracuse": 43911, - "Ġauthentically": 43912, - "Ġbreeder": 43913, - "ĠCasey": 43914, - "ĠCrimes": 43915, - "Ġpadded": 43916, - "Ġwipes": 43917, - "ĠLivestock": 43918, - "ĠSamsung": 43919, - "BooleanField": 43920, - "Ġtouted": 43921, - "SUM": 43922, - "chet": 43923, - "arie": 43924, - "irvana": 43925, - "ĠCBC": 43926, - "ĠPRI": 43927, - "ĠLIB": 43928, - "Ġdecrypt": 43929, - "Ġannals": 43930, - "Ġmotherboard": 43931, - "Ġbuoyancy": 43932, - "Ġconjunctivitis": 43933, 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"agas": 43983, - "ardia": 43984, - "ignon": 43985, - "Changed": 43986, - "])]": 43987, - "vantage": 43988, - "Ġcollars": 43989, - "Ġconverters": 43990, - "Ġsegmented": 43991, - "ĠOccur": 43992, - "ĠInteresting": 43993, - "Ġfarewell": 43994, - "Ġlevied": 43995, - "uckingham": 43996, - "Ġattenuation": 43997, - "Release": 43998, - "SCH": 43999, - "tank": 44000, - "Ġinexperienced": 44001, - "ĠTL": 44002, - "utility": 44003, - "chio": 44004, - "chairs": 44005, - "ĠRSA": 44006, - "endium": 44007, - "apis": 44008, - "ussel": 44009, - "myth": 44010, - "Ġstepper": 44011, - "logged": 44012, - "patrick": 44013, - "adoop": 44014, - "Ġthinly": 44015, - "Ġepidermis": 44016, - "Manufact": 44017, - "ugger": 44018, - "Ġionizing": 44019, - "Ġcautioned": 44020, - "Ġmobilized": 44021, - "ĠHartford": 44022, - "ĠPunishment": 44023, - "dependency": 44024, - "ĠWinnipeg": 44025, - "Ġovereating": 44026, - "Ġdiastolic": 44027, - "Saving": 44028, - "bash": 44029, - "Ġcomed": 44030, - "ĠWrap": 44031, - 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"Ġarrogance": 44676, - "fresh": 44677, - "kid": 44678, - "ĠROM": 44679, - "ĠKick": 44680, - "ossils": 44681, - "autiful": 44682, - "Immun": 44683, - "iosync": 44684, - "Greater": 44685, - "ĠMussolini": 44686, - "gif": 44687, - "jk": 44688, - "Ġmasc": 44689, - "imuth": 44690, - "ĠDEF": 44691, - "ĠGom": 44692, - "actually": 44693, - "ĠJW": 44694, - "concent": 44695, - "cyst": 44696, - "Ġconstrued": 44697, - "Ġtopological": 44698, - "ĠUpdates": 44699, - "missible": 44700, - "ร": 44701, - "Ġvaricose": 44702, - "JC": 44703, - "cgi": 44704, - "Ġcic": 44705, - "Ġnipple": 44706, - "oders": 44707, - "ĠMPs": 44708, - "thor": 44709, - "ĠNairobi": 44710, - "Ġpresided": 44711, - "Ġdecou": 44712, - "Ġcarbox": 44713, - "Ġassociating": 44714, - "Ġspaceflight": 44715, - "ĠAllison": 44716, - "Ġstreak": 44717, - "ĠHolocene": 44718, - "Ġattractiveness": 44719, - "ĠMatthews": 44720, - "Enable": 44721, - "Ġcriticizing": 44722, - "successfully": 44723, - "OUTPUT": 44724, - "Ġmyelin": 44725, - "Evaluation": 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a -i n -h e -Ġ Ġ -r e -o n -e r -Ġt he -a t -Ġ s -Ġ o -e n -Ġ c -e s -Ġ w -n d -i t -o r -i s -a l -Ġ p -in g -Ġ f -a n -e d -Ġ b -o u -a r -Ġ in -Ġo f -Ġ m -Ġa nd -i on -i c -Ġ d -Ġt o -ĠĠ ĠĠ -l e -r o -a s -en t -Ġ h -Ġt h -c t -Ġ e -Ġ re -e l -o m -i l -s t -Ġ l -Ġ n -e t -i m -v e -o l -at ion -Ġ g -i d -Ġ T -s e -Ġ is -u r -u t -r a -l y -c e -o t -â Ģ -c h -o w -i g -Ġb e -Ġ u -Ġf or -Ġs t -Ġ y -Ġ A -v er -a m -ĠĠ Ġ -Ġ S -Ġ on -u l -i r -Ġth at -Ġ I -Ġ C -a y -i f -it h -a d -Ġc on -Ġy ou -Ġa s -Ġp ro -he r -o d -Ġw ith -t er -ĠĠĠĠ ĠĠĠĠ -Ġa n -Ġo r -Ġw h -Ġ it -m ent -Ġa re -Ġa l -g e -es s -is t -Ġe x -Ġ ( -er s -Ġd e -at e -a b -i es -o p -Ġ M -t h -e ct -re s -u s -Ġ P -ĠT he -Ġc om -i v -es t -u m -it y -Ġ he -q u -Ġ v -a c -il l -Ġ B -o re -e m -Ġw e -Ġs u -p p -o s -k e -a nd -ro m -n t -l d -or t -a in -an t -i ve -ig h -o c -Ġ H -Ġ W -i al -Ġc h -Ġb y -Ġ r -u d -Ġ E -ĠĠĠĠ ĠĠĠ -Ġc an -âĢ Ļ -Ġa t -u n -Ġn e -Ġh a -Ġ D -- - -u re -Ġ le -Ġ F -Ġs e -Ġ R -Ġf rom -Ġ en -r i -p e 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as -le aves -st arch -se ma -ĠL ef -Ġev ocative -und ity ----------------- ---------- -Ġz u -Ġrad ii -ĠRed ist -IL Y -cap ac -Ġbio informatics -ĠVer b -Ac ute -ĠRand all -Ġreplic as -ĠDermat ology -- $ -c rum -r anges -ĠH ide -con verter -Ġinv al -Ġsub field -Ġca utions -ĠWe aver -Ġred ox -bl ogs -ĠOpt imal -Key Not -Add Field -ĠSpirit uality -ĠPrint ed -Ġscram bled -Ġperil ous -Ġalph abets -Ġincompet ent -ομ αι -P ont -R uss -a ires -c ine -d rops -Ð Ĵ -Ġy oke -ĠG oose -ĠG ras -Ġk erosene -ĠAs iatic -Ġop acity -ming ton -__( * -Ġcomprehens ively -Ġfilm maker -Ġbrother hood -Ġce mented -ĠHur on -Ġpa ediatric -Ġtoss ing -ĠDin osaur -ĠMack enzie -Ġnymph s -Ġellip se -F ine -k p -ĠE TH -Ġall uvial -ĠTh oreau -Ġded uced -New ton -ĠIN D -obj s -how ever -Ġembed dings -ĠParent al -ĠPu get -Ġovers aw -Ġchim ps -ĠCL R -Ġsam urai -c ampus -m ails -Ġe rection -ĠB ake -ĠE isen -Ġun mist -Ġob long -Ġmed itative -Ġcar riages -Ġeng ravings -Ġstory lines -writ es -dat as -ĠElect ions -vol t -Trans l 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17458, - "ĠEmbracing": 17459, - "roit": 17460, - "cession": 17461, - "Ġcasting": 17462, - "Ġincon": 17463, - "edges": 17464, - "udge": 17465, - "clock": 17466, - "ordon": 17467, - "tox": 17468, - "Ġvisitor": 17469, - "dose": 17470, - "amboo": 17471, - "Ġpist": 17472, - "igraph": 17473, - "Ġlimestone": 17474, - "Ġhosted": 17475, - "eur": 17476, - "apply": 17477, - "Ġplague": 17478, - "Ġunpredict": 17479, - "Ġreper": 17480, - "Ġ(-": 17481, - "Ġawa": 17482, - "document": 17483, - "beit": 17484, - "Ġargparse": 17485, - "Bre": 17486, - "Ġtasty": 17487, - "Ġdownstream": 17488, - "ĠBull": 17489, - "Ġpulmonary": 17490, - "Ġnuances": 17491, - "timestamp": 17492, - "iw": 17493, - "Ġwore": 17494, - "gage": 17495, - "ĠPed": 17496, - "Integer": 17497, - "Ġshrubs": 17498, - "cellular": 17499, - "ĠACT": 17500, - "ĠMember": 17501, - "ibles": 17502, - "Ġclause": 17503, - "utable": 17504, - "Course": 17505, - "ĠRow": 17506, - "Ġdecorated": 17507, - "pk": 17508, - "ĠSad": 17509, - "achine": 17510, - "Ġrunoff": 17511, - "Ġculmin": 17512, - "ulous": 17513, - "Ġserum": 17514, - "Ġveterinarian": 17515, - "ithmetic": 17516, - "price": 17517, - "brates": 17518, - "Ġsimplest": 17519, - "Ġflame": 17520, - "Ġshark": 17521, - "Ġdisinf": 17522, - "Ġactor": 17523, - "Ġincub": 17524, - "Ġtermed": 17525, - "Ġpersistence": 17526, - "Ġic": 17527, - "stones": 17528, - "ĠAlcohol": 17529, - "aceous": 17530, - "driver": 17531, - "Ġrepository": 17532, - "ĠCoord": 17533, - "Ġrecreation": 17534, - "Ġyards": 17535, - "ĠChem": 17536, - "Ġvein": 17537, - "Ġpm": 17538, - "ĠIBM": 17539, - "ĠDefault": 17540, - "Ġpersecution": 17541, - "Ġlearns": 17542, - "ĠOccup": 17543, - "nx": 17544, - "ĠCatal": 17545, - "ĠMR": 17546, - "Ġdiffering": 17547, - "Context": 17548, - "odont": 17549, - "Ġcryptocur": 17550, - "Ġheavier": 17551, - "ĠTro": 17552, - "ĠPubl": 17553, - "Ġtouched": 17554, - "ĠConstruction": 17555, - "Modern": 17556, - "Ġsubtract": 17557, - "erred": 17558, - "Ġlamp": 17559, - "Ġbiography": 17560, - 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"ographics": 17611, - "Ġlongevity": 17612, - "ĠHopkins": 17613, - "Ġcarriers": 17614, - "Ġsigning": 17615, - "Ġimmigrant": 17616, - "font": 17617, - "ivated": 17618, - "pleted": 17619, - "Ġpsychologists": 17620, - "Ang": 17621, - "Ġdip": 17622, - "Ġaviation": 17623, - "Ġneedles": 17624, - "Ġreinforced": 17625, - "Ġnoqa": 17626, - "Ġearnings": 17627, - "Ġinformative": 17628, - "Ġub": 17629, - "Ġinternationally": 17630, - "flag": 17631, - "lasting": 17632, - "Ġtended": 17633, - "tuple": 17634, - "Ġelimination": 17635, - "ĠMalaysia": 17636, - "mont": 17637, - "ĠABC": 17638, - "loader": 17639, - "ĠEthiopia": 17640, - "Ġbru": 17641, - "Ġell": 17642, - "scient": 17643, - "ĠThor": 17644, - "ĠForum": 17645, - "Ġexcel": 17646, - "Total": 17647, - "Ġproactive": 17648, - "ĠHyper": 17649, - "Ġcompassionate": 17650, - "ogly": 17651, - "ĠFestival": 17652, - "break": 17653, - "Ġpave": 17654, - "utenant": 17655, - "Enter": 17656, - "mitt": 17657, - "ĠScripture": 17658, - "Ġsealed": 17659, - 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"Ġcompromised": 17711, - "Ġreferen": 17712, - "headed": 17713, - "Ġproportions": 17714, - "organic": 17715, - "heat": 17716, - "Brit": 17717, - "expensive": 17718, - "Ġhect": 17719, - "units": 17720, - "ĠChron": 17721, - "ĠTrail": 17722, - "sections": 17723, - "ediatrics": 17724, - "Ġmonuments": 17725, - "gex": 17726, - "Ġspawn": 17727, - "negative": 17728, - "academia": 17729, - "fc": 17730, - "Ġasteroid": 17731, - "watch": 17732, - "Ġethn": 17733, - "ĠEvaluation": 17734, - "Ġcivilians": 17735, - "ijing": 17736, - "Ġanth": 17737, - "Ġsnipp": 17738, - "Phone": 17739, - "Ġinheritance": 17740, - "ĠIF": 17741, - "ĠSeattle": 17742, - "Ġrhythms": 17743, - "Ġpurchases": 17744, - "Ġdefence": 17745, - "Ġinviting": 17746, - "Ġdetector": 17747, - "Ġedible": 17748, - "Ġsaves": 17749, - "Ġdeclaration": 17750, - "Ġaerial": 17751, - "speaking": 17752, - "ĠVision": 17753, - "Ġexterior": 17754, - "Ġcleans": 17755, - "ĠCPU": 17756, - "thens": 17757, - "Ġsisters": 17758, - "Ġnesting": 17759, - "ĠPick": 17760, - "Ġmanuscripts": 17761, - "otor": 17762, - "Ġ[[": 17763, - "Ġamphib": 17764, - "Ġcontinents": 17765, - "estyles": 17766, - "Ġverbs": 17767, - "ĠStrategy": 17768, - "Ġsubset": 17769, - "Ġcracks": 17770, - "Ġdestroying": 17771, - "quer": 17772, - "Ġfrontier": 17773, - "Ġcritique": 17774, - "ĠLikewise": 17775, - "Ġbubbles": 17776, - "Command": 17777, - "idating": 17778, - "Ġprosec": 17779, - "oi": 17780, - "Ġsticky": 17781, - "ispens": 17782, - "hetical": 17783, - "Ġfeast": 17784, - "storage": 17785, - "itat": 17786, - "Ġdifferentiation": 17787, - "ference": 17788, - "Ġautoimmune": 17789, - "ancers": 17790, - "respons": 17791, - "Ġbites": 17792, - "ĠPalestinian": 17793, - "################################################################": 17794, - "ĠAgainst": 17795, - "ixty": 17796, - "astype": 17797, - "ĠExperience": 17798, - "ĠRobinson": 17799, - "Ġwelding": 17800, - "ĠIsaac": 17801, - "itol": 17802, - "umble": 17803, - "Ġempowering": 17804, - ":.": 17805, - "Parent": 17806, - "Ġincoming": 17807, - "Ġschema": 17808, - "ĠExchange": 17809, - "Ġportfolio": 17810, - "Ġactivism": 17811, - "Ġposterior": 17812, - "Ġhanded": 17813, - "ĠSummary": 17814, - "æĸ": 17815, - "Ġgates": 17816, - "Ġswitches": 17817, - "Ġathlete": 17818, - "ĠAndroid": 17819, - "Ġμ": 17820, - "ĠAntarctica": 17821, - "ĠâĨĴ": 17822, - "Ġindirectly": 17823, - "Ġanemia": 17824, - "ĠBirth": 17825, - "metrics": 17826, - "ĠSN": 17827, - "Ġ\"--": 17828, - "Ġcorrelated": 17829, - "âĢ²": 17830, - "Ġfaithful": 17831, - "Physical": 17832, - "olithic": 17833, - "asi": 17834, - "Ġmeg": 17835, - "Ġenjoyment": 17836, - "Ġtokens": 17837, - "Ġpunish": 17838, - "Ġmicroscopic": 17839, - "Pop": 17840, - "Ġpodcast": 17841, - "és": 17842, - "osexual": 17843, - "Ġrevelation": 17844, - "Ġvoted": 17845, - "ĠCyber": 17846, - "dra": 17847, - "Ġdeveloper": 17848, - "Ġregim": 17849, - "Ġdeserves": 17850, - "ĠSusan": 17851, - "ĠCB": 17852, - "aby": 17853, - "ĠClinic": 17854, - "olis": 17855, - "Ġcsv": 17856, - "Ġhed": 17857, - "pleasant": 17858, - "}}": 17859, - "ulatory": 17860, - "Ġinterplay": 17861, - "around": 17862, - "Ġannoy": 17863, - "án": 17864, - "Pos": 17865, - "ĠFif": 17866, - "Ġremainder": 17867, - "м": 17868, - "ULL": 17869, - "Ġwillingness": 17870, - "ĠBart": 17871, - "Question": 17872, - "Ġjustified": 17873, - "scores": 17874, - "(['": 17875, - "bus": 17876, - "ĠAlg": 17877, - "Content": 17878, - "fires": 17879, - "Ġexh": 17880, - "Ġrespecting": 17881, - "Ġcoordinated": 17882, - "Enc": 17883, - "ĠExam": 17884, - "Ġastronauts": 17885, - "Such": 17886, - "Ġnov": 17887, - "Ġtechnically": 17888, - "idis": 17889, - "Ġconvincing": 17890, - "thirds": 17891, - "Ġ\"__": 17892, - "../": 17893, - "rimental": 17894, - "otte": 17895, - "ĠBaltimore": 17896, - "ĠMonitor": 17897, - "Ġspinning": 17898, - "odus": 17899, - "Ġshowcasing": 17900, - "reset": 17901, - "Ġcompressed": 17902, - "Ġinvalid": 17903, - "Ġcreator": 17904, - "ĠPicture": 17905, - "ĠMort": 17906, - "years": 17907, - "Ġspreads": 17908, - "criptions": 17909, - "Ġreinforcing": 17910, - "Pass": 17911, - "vest": 17912, - "Ġalliance": 17913, - "Ġendurance": 17914, - "Ġlovely": 17915, - "ĠFoods": 17916, - "Ġencouragement": 17917, - "ĠBelgium": 17918, - "ateur": 17919, - "Ġtrajectory": 17920, - "Examples": 17921, - "Ġdifferentiate": 17922, - "Ġpetroleum": 17923, - "Ġcandy": 17924, - "hill": 17925, - "Ġsickness": 17926, - "elli": 17927, - "Ġproving": 17928, - "Ġhappier": 17929, - "ĠApplied": 17930, - "ollen": 17931, - "member": 17932, - "ĠML": 17933, - "Ġcommitments": 17934, - "Ġtravelers": 17935, - "Arch": 17936, - "Ġincomplete": 17937, - "Ġfastest": 17938, - "tar": 17939, - "Ġsuccession": 17940, - "ĠIndividuals": 17941, - "Ġwoven": 17942, - "Ġvariance": 17943, - "Ġimpose": 17944, - "Ġemitted": 17945, - "Ġgem": 17946, - "aky": 17947, - "Ġdecimal": 17948, - "helial": 17949, - "actly": 17950, - "ĠVacc": 17951, - "ĠCommunications": 17952, - "Ġschizophrenia": 17953, - "Ġescaped": 17954, - "Ġdissertation": 17955, - "Ġbacks": 17956, - "Ġspirituality": 17957, - "ĠMoz": 17958, - "ribing": 17959, - "Exp": 17960, - "ĠPopular": 17961, - "environment": 17962, - "ĠConversely": 17963, - "ELECT": 17964, - "ĠRoberts": 17965, - "Ġvet": 17966, - "Ġhex": 17967, - "Ġfinishing": 17968, - "ĠChallenge": 17969, - "Ġpainter": 17970, - "Ġling": 17971, - "Ġfluoride": 17972, - "Ġaccounted": 17973, - "Ġbronze": 17974, - "ĠDeg": 17975, - "opause": 17976, - "ĠLen": 17977, - "Ġdominance": 17978, - "Article": 17979, - "cuda": 17980, - "ĠSin": 17981, - "Ġpositioned": 17982, - "without": 17983, - "Ġ{}\".": 17984, - "before": 17985, - "Ġgotten": 17986, - "Ġrecordings": 17987, - "ratulations": 17988, - "Ġcontinental": 17989, - "Ġcollision": 17990, - "Ġbunch": 17991, - "arin": 17992, - "Ġcalculator": 17993, - "Ġassisted": 17994, - "ĠIR": 17995, - "__,": 17996, - "Ġimbalance": 17997, - "semin": 17998, - "erers": 17999, - "Resource": 18000, - "Ġchord": 18001, - "rett": 18002, - "ĠLam": 18003, - "Ġunrest": 18004, - "Ġwithstand": 18005, - "ĠImportant": 18006, - "Ġconserve": 18007, - "ucing": 18008, - "comed": 18009, - "Ġsket": 18010, - "Ġmaritime": 18011, - "Ġpositioning": 18012, - "ĠVarious": 18013, - "Ġthreaten": 18014, - "rene": 18015, - "bola": 18016, - "Ġuncovered": 18017, - "ĠTun": 18018, - "Ġgraduates": 18019, - "Ġconsulting": 18020, - "Ġreminds": 18021, - "Ġmerit": 18022, - "Ġparallels": 18023, - "Additional": 18024, - "variable": 18025, - "ĠEngaging": 18026, - "October": 18027, - "_(": 18028, - "Ġelegant": 18029, - "Ġlad": 18030, - "ĠSierra": 18031, - "ĠUSB": 18032, - "Ġlandmark": 18033, - "wick": 18034, - "wikipedia": 18035, - "Ġcolleague": 18036, - "Ġpromptly": 18037, - "Ġruins": 18038, - "rev": 18039, - "Ġarbitrary": 18040, - "program": 18041, - "ĠBeaut": 18042, - "Service": 18043, - "Ġgrateful": 18044, - "filled": 18045, - "Ġchi": 18046, - "ĠStyle": 18047, - "Ġ((": 18048, - "ĠEra": 18049, - "ycle": 18050, - "Ġvolcano": 18051, - "rob": 18052, - "resolution": 18053, - "ĠVeget": 18054, - "ĠCris": 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"oro": 18105, - "Ġcoefficient": 18106, - "Ġmedi": 18107, - "Ġdisparate": 18108, - "Ġtheft": 18109, - "Ġawards": 18110, - "Ġprophet": 18111, - "Ġlibert": 18112, - "umm": 18113, - "Ġremembering": 18114, - "ĠIM": 18115, - "ĠIg": 18116, - "Ġairplane": 18117, - "ĠPale": 18118, - "ĠBreak": 18119, - "Ġbasketball": 18120, - "Ġexclude": 18121, - "annah": 18122, - "Ġremot": 18123, - "Ġliberation": 18124, - "ĠObservatory": 18125, - "ĠLith": 18126, - "ĠConstant": 18127, - ">,": 18128, - "Ġvisc": 18129, - "Ġindispens": 18130, - "Ġmushrooms": 18131, - "]+": 18132, - "lyn": 18133, - "Ġunrelated": 18134, - "Ġquarters": 18135, - "ĠContinue": 18136, - "Ġwavelength": 18137, - "ĠLate": 18138, - "Ġlegends": 18139, - "media": 18140, - "Ġpsychiatric": 18141, - "Ġlawsu": 18142, - "Ġbonding": 18143, - "uba": 18144, - "ĠReligious": 18145, - "Ġcelestial": 18146, - "otics": 18147, - "Ġthunder": 18148, - "Ġpopulated": 18149, - "icrobial": 18150, - "UB": 18151, - "Ġhurd": 18152, - "Ġresin": 18153, - "lr": 18154, - "ÃŃa": 18155, - "Ġaccumulate": 18156, - "Ġqueue": 18157, - "Ġintentional": 18158, - "ĠBatt": 18159, - "ĠPalace": 18160, - "Ġcatastrophic": 18161, - "Serial": 18162, - "ĠHPV": 18163, - "Ġabbre": 18164, - "ilage": 18165, - "Ġrisky": 18166, - "Ġsafeguard": 18167, - "Ġfacilitates": 18168, - "frac": 18169, - "Ġfasting": 18170, - "ĠSteve": 18171, - "ĠBY": 18172, - "Ġmirrors": 18173, - "utation": 18174, - "hyth": 18175, - "ĠColumbus": 18176, - "Press": 18177, - "Ġbent": 18178, - "chy": 18179, - "Ġdressed": 18180, - "idency": 18181, - "ĠAnthony": 18182, - "Ġemergencies": 18183, - "ocrine": 18184, - "Ġspokes": 18185, - "ĠPerm": 18186, - "ĠHarris": 18187, - "pick": 18188, - "Ġtranslations": 18189, - "Ġtones": 18190, - "ploys": 18191, - "Ġwip": 18192, - "Ġnm": 18193, - "ĠHyp": 18194, - "Ġrestoring": 18195, - "Ġaccumulated": 18196, - "erican": 18197, - "Ġaccomplishments": 18198, - "ĠAlternatively": 18199, - "ĠWelsh": 18200, - "utt": 18201, - "Ġspecifications": 18202, - "dit": 18203, - "ĠBurn": 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"ĠComplete": 18254, - "Ġpassions": 18255, - "ĠLetters": 18256, - "inical": 18257, - "Ġgloss": 18258, - "ĠInvestig": 18259, - "Ġdelightful": 18260, - "Ġprojection": 18261, - "ĠAfricans": 18262, - "ivo": 18263, - "occup": 18264, - "æķ°": 18265, - "Ġleisure": 18266, - "artha": 18267, - "lad": 18268, - "ĠDanish": 18269, - "Ġundergoing": 18270, - "Ġcoalition": 18271, - "buffer": 18272, - "ĠEld": 18273, - "Ġqualify": 18274, - "Ġtransistors": 18275, - "è¿": 18276, - "Gs": 18277, - "Å«": 18278, - "ĠSent": 18279, - "Ġads": 18280, - "__)": 18281, - "Ġteamwork": 18282, - "ĠDesert": 18283, - "Ġgarbage": 18284, - "ĠForces": 18285, - "Ġparenting": 18286, - "Ġquestioned": 18287, - "ĠEnsure": 18288, - "las": 18289, - "binary": 18290, - "ĠPle": 18291, - "}'": 18292, - "ĠKid": 18293, - "Ġlithium": 18294, - "Ġfeared": 18295, - "Ġspanning": 18296, - "inctions": 18297, - "ochemistry": 18298, - "PER": 18299, - "ructions": 18300, - "Ġchromosomes": 18301, - "cpu": 18302, - "Ġhitting": 18303, - "Ġdefinitive": 18304, - "Ġdub": 18305, - "Ġformulas": 18306, - "Ġtimeless": 18307, - "ĠIncreased": 18308, - "EXT": 18309, - "å®": 18310, - "uffle": 18311, - "ĠPsychological": 18312, - "osaic": 18313, - "Ġequip": 18314, - "Ġimproper": 18315, - "ĠAlmost": 18316, - "Ġaccessing": 18317, - "ĠCommunities": 18318, - "icus": 18319, - "Contact": 18320, - "ĠPand": 18321, - "ĠThinking": 18322, - "Ġkindergarten": 18323, - "ĠInnovation": 18324, - "Ġvoc": 18325, - "Ġrotating": 18326, - "compat": 18327, - "Ġobey": 18328, - "__()": 18329, - "Ġphysiology": 18330, - "swith": 18331, - "Ġultra": 18332, - ".**": 18333, - ".[": 18334, - "NC": 18335, - "Ġ'_": 18336, - "ĠNepal": 18337, - "Ġwedding": 18338, - "Ġgrinding": 18339, - "Ġamend": 18340, - "Ġbrack": 18341, - "ĠKeeping": 18342, - "osterone": 18343, - "Ġpdf": 18344, - "Ġchickens": 18345, - "Ġyogurt": 18346, - "summary": 18347, - "Ġsteadily": 18348, - "Jew": 18349, - "Ġcomprising": 18350, - "Ġcongress": 18351, - "icularly": 18352, - "Ġsecretary": 18353, - "Ġgenerous": 18354, - "Ġgolf": 18355, - "optional": 18356, - "Ġmate": 18357, - "environ": 18358, - "isers": 18359, - "Ġpolyn": 18360, - "Ġrated": 18361, - "Ġaccountable": 18362, - "Ġvulnerabilities": 18363, - "raviolet": 18364, - "NASA": 18365, - "Ġtours": 18366, - "hex": 18367, - "Ġamendment": 18368, - "ĠIL": 18369, - "ockey": 18370, - "Ġhelic": 18371, - "ĠBerg": 18372, - "Ġstudio": 18373, - "Ġeruption": 18374, - "Ġfabrics": 18375, - "Ġtran": 18376, - "Ġerupt": 18377, - "ĠEngineers": 18378, - "ĠVar": 18379, - "./": 18380, - "Ġrobotic": 18381, - "correct": 18382, - "ĠBrief": 18383, - "Ġinvestigators": 18384, - "ĠSW": 18385, - "ĠDh": 18386, - "Ġimplants": 18387, - "Ġrepetition": 18388, - "astical": 18389, - "ĠLeadership": 18390, - "ĠXML": 18391, - "Ġconsequently": 18392, - "Ġpreceding": 18393, - "liness": 18394, - "Ġ\"-": 18395, - "Ġasyn": 18396, - "Ġunh": 18397, - "Ġuphold": 18398, - "Ġturbine": 18399, - "Ġyesterday": 18400, - "Ġteasp": 18401, - "ĠArkansas": 18402, - "System": 18403, - "Ġscaling": 18404, - "Ġinherently": 18405, - "ĠReports": 18406, - "Ġsprings": 18407, - "Ñĭ": 18408, - "published": 18409, - "Ġstance": 18410, - "ĠFab": 18411, - "orting": 18412, - "Ġrealities": 18413, - "prising": 18414, - "Ġrealism": 18415, - "Ġresponsive": 18416, - "ĠOrigins": 18417, - "Ġtwin": 18418, - "Ġtranslates": 18419, - "Ġcomprise": 18420, - "Ġworm": 18421, - "anyon": 18422, - "Ġperfection": 18423, - "Ġreviewers": 18424, - "Ġepile": 18425, - "Ġhurricane": 18426, - "ĠTar": 18427, - "ĠAddress": 18428, - "Ġdisplaying": 18429, - "Ġforgiveness": 18430, - "many": 18431, - "ilk": 18432, - "emade": 18433, - ")+": 18434, - "Ġtin": 18435, - "ĠSeven": 18436, - "safe": 18437, - "Ġaccelerated": 18438, - "Ġscared": 18439, - "Ġeditorial": 18440, - "Ġwrist": 18441, - "Ġunpleasant": 18442, - "Core": 18443, - "Ġesoph": 18444, - "ĠNAT": 18445, - "Ġapparatus": 18446, - "ĠGate": 18447, - "dup": 18448, - "pix": 18449, - "ctory": 18450, - "ĠFROM": 18451, - "ĠChris": 18452, - "heim": 18453, - "Description": 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"ĠArtificial": 18600, - "Ġì": 18601, - "Ġcentr": 18602, - "Ġpsychologist": 18603, - "Ġradicals": 18604, - "kn": 18605, - "Ġrope": 18606, - "ĠTransportation": 18607, - "Ġonions": 18608, - "ĠOral": 18609, - "ĠInternal": 18610, - "Ġpilots": 18611, - "ĠAvenue": 18612, - "Ġclinicians": 18613, - "å¤": 18614, - "stick": 18615, - "Ġparasite": 18616, - "Ġciting": 18617, - "Ġdeposited": 18618, - "Ġfloors": 18619, - "ĠNam": 18620, - "Block": 18621, - "plication": 18622, - "ĠClinton": 18623, - "ÏĤ": 18624, - "colors": 18625, - "Ġethanol": 18626, - "degree": 18627, - "Ġsmiled": 18628, - "White": 18629, - "ĠLA": 18630, - "Ġpancreat": 18631, - "Ġinexpensive": 18632, - "ĠYang": 18633, - "Ġstrengthens": 18634, - "Ġlifespan": 18635, - "Ġenergies": 18636, - "oic": 18637, - "Ġdigits": 18638, - "Ġvaccinated": 18639, - "Instead": 18640, - "Ġgenius": 18641, - "Ġnails": 18642, - "Ġclinics": 18643, - "ĠSuppose": 18644, - "ä½": 18645, - "Ġthirst": 18646, - "carbon": 18647, - "Ġcarrots": 18648, - "Ġinhabited": 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"Almost": 18700, - "ĠIllust": 18701, - "Ġobscure": 18702, - "ogeneous": 18703, - "Ġprobable": 18704, - "Ġpursued": 18705, - "Ġcoherent": 18706, - "ĠPriv": 18707, - "ÏĢ": 18708, - "ĠArticles": 18709, - "ĠTip": 18710, - "ĠRailroad": 18711, - "Ġlubric": 18712, - "Bs": 18713, - "ĠSubst": 18714, - "Ġactivist": 18715, - "Ġproportional": 18716, - "Ġcigarette": 18717, - "ĠDiversity": 18718, - "pection": 18719, - "Ġpottery": 18720, - "Ġhorror": 18721, - "ĠSubject": 18722, - "Ġcleared": 18723, - "Ġneglected": 18724, - "Design": 18725, - "Ġnationalism": 18726, - "hou": 18727, - "Published": 18728, - "Ġward": 18729, - "Ġworkout": 18730, - "Ġrepeating": 18731, - "Ġconfidently": 18732, - "Ġdeceased": 18733, - "ften": 18734, - "ĠMorgan": 18735, - "ür": 18736, - "ean": 18737, - "ĠLanka": 18738, - "Prim": 18739, - "Ġsewage": 18740, - "Ġcompetent": 18741, - "ĠJuan": 18742, - "Ġcorporation": 18743, - "Ġ[-": 18744, - "Ġevaluations": 18745, - "ĠJos": 18746, - "Ġbelly": 18747, - "Ġsusceptibility": 18748, - 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"verbal": 19450, - "ificance": 19451, - "Ġcredited": 19452, - "Ġfellows": 19453, - "gone": 19454, - "ĠNavigating": 19455, - "oS": 19456, - "ĠAdjust": 19457, - "Ġhoused": 19458, - "Ġowing": 19459, - "Ġanonymous": 19460, - "Ġhonour": 19461, - "ĠEncouraging": 19462, - "dings": 19463, - "Ġgospel": 19464, - "essed": 19465, - "ĠFamilies": 19466, - "rators": 19467, - "Ġseals": 19468, - "Ġupwards": 19469, - "ĠHealthcare": 19470, - "ĠUkrain": 19471, - "Ġfirsthand": 19472, - "Ġobservers": 19473, - "Ġsupreme": 19474, - "kill": 19475, - "ĠPapers": 19476, - "growth": 19477, - "ĠMade": 19478, - "Ġnonfiction": 19479, - "cott": 19480, - "ĠWol": 19481, - "assed": 19482, - "Ġsuccessive": 19483, - "Ġconcise": 19484, - "Ġsuspension": 19485, - "arange": 19486, - "uder": 19487, - "dump": 19488, - "frames": 19489, - "ĠMis": 19490, - "Ġsupplementation": 19491, - "Ġnaming": 19492, - "ĠGenetic": 19493, - "Ġfragment": 19494, - "geo": 19495, - "oske": 19496, - "Ġperv": 19497, - "ĠNorwegian": 19498, - 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23221, - "ĠMiami": 23222, - "Ġeps": 23223, - "Ġappre": 23224, - "Ġchairman": 23225, - "bishop": 23226, - "âĨ": 23227, - "iculture": 23228, - "balanced": 23229, - "aton": 23230, - "ĠPradesh": 23231, - "urer": 23232, - "rigger": 23233, - "ĠNT": 23234, - "Ġprecursor": 23235, - "nee": 23236, - "Ġnonetheless": 23237, - "ĠNeeds": 23238, - "unittest": 23239, - "ĠDys": 23240, - "ĠVit": 23241, - "Ġoffenders": 23242, - "prev": 23243, - "ĠSteven": 23244, - "Ġshuttle": 23245, - "Ġphysicists": 23246, - "Ġpant": 23247, - "Ġreminiscent": 23248, - "Ġtenth": 23249, - "Ġauction": 23250, - "Ġmonster": 23251, - "Ġoriginating": 23252, - "Ġconcentrating": 23253, - "lia": 23254, - "Ġcomposting": 23255, - "Ġgraphene": 23256, - "lycer": 23257, - "Ġspecifies": 23258, - "ĠExpect": 23259, - "Optional": 23260, - "Ġimprisonment": 23261, - "Ġprepares": 23262, - "Ġnicely": 23263, - "Ġtorque": 23264, - "ĠCambodia": 23265, - "lasses": 23266, - "Ox": 23267, - "Ġanalysed": 23268, - "Ġexceeding": 23269, - "Ġeruptions": 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"ĠLancet": 26352, - "uously": 26353, - "ĠLux": 26354, - "Ġquarant": 26355, - "Ġdemise": 26356, - "ĠPod": 26357, - "ĠAlgebra": 26358, - "Ġcracking": 26359, - "Ġattachments": 26360, - "official": 26361, - "Ġirreversible": 26362, - "oped": 26363, - "ère": 26364, - "Ġhath": 26365, - "vered": 26366, - "formal": 26367, - "Ġexcavated": 26368, - "later": 26369, - "ĠVlad": 26370, - "ĠImam": 26371, - "Ġboarding": 26372, - "ĠSocialist": 26373, - "Ġliabilities": 26374, - "Ġsubgen": 26375, - "Ġcrabs": 26376, - "ĠInteractive": 26377, - "ĠSpeaking": 26378, - "protocol": 26379, - "Focus": 26380, - "Ġspills": 26381, - "identified": 26382, - "ĠAuton": 26383, - "Ġinsignificant": 26384, - "City": 26385, - "wx": 26386, - "¢": 26387, - "Ġbrightly": 26388, - "Ġrestart": 26389, - "Ġtroubled": 26390, - "Ġhonors": 26391, - "hov": 26392, - "Ġbizarre": 26393, - "idates": 26394, - "ĠRy": 26395, - "INTER": 26396, - "Ġtoug": 26397, - "ĠHabitat": 26398, - "ĠProbably": 26399, - "Ġreclaim": 26400, - "raz": 26401, - 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"raisal": 26503, - "ĠMakes": 26504, - "Ġdepended": 26505, - "Ġinitialize": 26506, - "ĠObst": 26507, - "ĠEnterprise": 26508, - "ĠJur": 26509, - "Ġrapp": 26510, - "Ġbreadth": 26511, - "lining": 26512, - "Ġinactive": 26513, - "ĠOdys": 26514, - "ĠRunning": 26515, - "Ġdias": 26516, - "playing": 26517, - "Ġplugin": 26518, - "æł": 26519, - "Ġdeed": 26520, - "ĠShell": 26521, - "tax": 26522, - "Ġmiracul": 26523, - "Need": 26524, - "linalg": 26525, - "ouched": 26526, - "need": 26527, - "Ġparticulate": 26528, - "productive": 26529, - "ĠSpringer": 26530, - "ĠPharmac": 26531, - "Ca": 26532, - "Give": 26533, - "Ġdyst": 26534, - "ĠTopic": 26535, - "soil": 26536, - "Ġdirecting": 26537, - "Ġglowing": 26538, - "Ġcaterpillars": 26539, - "strings": 26540, - "ĠAttention": 26541, - "Ġseller": 26542, - "Ġembedding": 26543, - "Ġinconven": 26544, - "ĠGilbert": 26545, - "templ": 26546, - "ë": 26547, - "Ġery": 26548, - "Ġinception": 26549, - "ogh": 26550, - "Ġscav": 26551, - "Ġdengue": 26552, - "Ġsurrounds": 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"integration": 26653, - "Ġcousins": 26654, - "pit": 26655, - "Ġjeopard": 26656, - "Ġpeasant": 26657, - "ĠMAT": 26658, - "plasia": 26659, - "Prog": 26660, - "Ġpitfalls": 26661, - "ogeneity": 26662, - "iman": 26663, - "Ġstuffed": 26664, - "ĠMapping": 26665, - "ĠOCD": 26666, - "liable": 26667, - "Ġrestricting": 26668, - "Ġdisrupting": 26669, - "Bad": 26670, - "ĠEdmund": 26671, - "ĠDrop": 26672, - "Ġprefers": 26673, - "ĠInfection": 26674, - "ĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 26675, - "Sarah": 26676, - "Ġgenerosity": 26677, - "locations": 26678, - "Ġpalms": 26679, - "aggering": 26680, - "cook": 26681, - "ĠAffect": 26682, - "Ġplaster": 26683, - "ĠRobin": 26684, - "ĠNormally": 26685, - "Ġcounteract": 26686, - "Schema": 26687, - "Tip": 26688, - "Ġrealms": 26689, - "ushima": 26690, - "Ġrepeats": 26691, - "Native": 26692, - "Ġwithdrawn": 26693, - "Ġmicron": 26694, - "];": 26695, - "Ġmustard": 26696, - "º": 26697, - "ĠSmoking": 26698, - "Ġglyc": 26699, - 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"ĠCorrect": 26800, - "Ġimmersed": 26801, - "does": 26802, - "imshow": 26803, - "Ġspam": 26804, - "ĠKB": 26805, - "Ġairflow": 26806, - "ĠIDE": 26807, - "Ġpertains": 26808, - "Ġgrav": 26809, - "Ġsupplemental": 26810, - "allowed": 26811, - "ĠComponents": 26812, - "Ġaided": 26813, - "Ġoath": 26814, - "Ġhues": 26815, - "ĠAlger": 26816, - "Ġbrushes": 26817, - "Ġibn": 26818, - "ĠCONDITIONS": 26819, - "Ġsi": 26820, - "ĠGust": 26821, - "]|": 26822, - "asus": 26823, - "ĠMall": 26824, - "Ġprisons": 26825, - "MES": 26826, - "Ġexcluding": 26827, - "abling": 26828, - "acillus": 26829, - "ĠBO": 26830, - "posite": 26831, - "Ġtransformer": 26832, - "Ġrewarded": 26833, - "Benefits": 26834, - "á½": 26835, - "arner": 26836, - "Ġbooster": 26837, - "Ġnickname": 26838, - "Left": 26839, - "etz": 26840, - "ĠOUT": 26841, - "Ġconserved": 26842, - "Hi": 26843, - "nament": 26844, - "Ġchin": 26845, - "byte": 26846, - "ĠMonument": 26847, - "Compar": 26848, - "ĠCapitol": 26849, - "Ġalgebraic": 26850, - "itian": 26851, - "ĠInclude": 26852, - "Ġfarmland": 26853, - "osphate": 26854, - "Ġtowels": 26855, - "ĠPalestinians": 26856, - "ĠYellowstone": 26857, - "Ġnemat": 26858, - "Ġdisclose": 26859, - "Ġcircumstance": 26860, - "America": 26861, - "Ġsyllables": 26862, - "Mex": 26863, - "arist": 26864, - "endpoint": 26865, - "ĠGraduate": 26866, - "Ġventures": 26867, - "Meet": 26868, - "directed": 26869, - "Ġrefreshing": 26870, - "andel": 26871, - "assy": 26872, - "ĠVes": 26873, - "etyl": 26874, - "ĠPCB": 26875, - "Ġilluminating": 26876, - "ingling": 26877, - "ĠMM": 26878, - "ĠFant": 26879, - "Ġdrums": 26880, - "Ġcysts": 26881, - "ĠBlake": 26882, - "ĠDrink": 26883, - "Ġmixtures": 26884, - "Ġspelled": 26885, - "ĊĊĊĠĠĠĠĠĠĠ": 26886, - "Ġshareholders": 26887, - "Vector": 26888, - "Ġquart": 26889, - "ĠLeaders": 26890, - "anism": 26891, - "Ġantit": 26892, - "Ġfrontal": 26893, - "Ġwiki": 26894, - "Ġdecolon": 26895, - "Ġvisuals": 26896, - "ĠCollections": 26897, - "Gal": 26898, - "pipe": 26899, - "yrin": 26900, - "Ġsmoother": 26901, - ")')": 26902, - "Email": 26903, - "Finding": 26904, - "ĠMold": 26905, - "Ġcohesive": 26906, - "ĠGenome": 26907, - "Ġmanifested": 26908, - "Ġsuspects": 26909, - "Calcul": 26910, - "Ġrefinement": 26911, - "Ġstray": 26912, - "()):": 26913, - "accessible": 26914, - "ĠTheodore": 26915, - "linspace": 26916, - "raines": 26917, - "ĠMira": 26918, - "floor": 26919, - "Ġdrafting": 26920, - "Ġcuring": 26921, - "arate": 26922, - "akening": 26923, - "Ġradically": 26924, - "Ċĉĉĉĉĉĉĉĉĉĉ": 26925, - "Xiv": 26926, - "Ġencountering": 26927, - "ugged": 26928, - "actively": 26929, - "incinn": 26930, - "Ġseawater": 26931, - "asgow": 26932, - "dry": 26933, - "umbs": 26934, - "updated": 26935, - "Ġdescending": 26936, - "Ġeconomist": 26937, - "Ġtermination": 26938, - "Ġlaborers": 26939, - "ĠFran": 26940, - "Ġnested": 26941, - "Ġgrit": 26942, - "Ġhen": 26943, - "Ġartific": 26944, - "Ġtranscends": 26945, - "Ġneatly": 26946, - "Ġcanonical": 26947, - "oing": 26948, - "Ġmorb": 26949, - "Ġdyslexia": 26950, - "个": 26951, - "Ġdisparity": 26952, - "uling": 26953, - "Ġpermiss": 26954, - "ĠDomain": 26955, - "ĠDiagnosis": 26956, - "Ġplateau": 26957, - "ĠNeuroscience": 26958, - "arers": 26959, - "ĠTrack": 26960, - "oseph": 26961, - "Parameters": 26962, - "Ġutterly": 26963, - "Ġpatented": 26964, - "Ġlice": 26965, - "Previous": 26966, - "Ġtracts": 26967, - "nem": 26968, - "Ġum": 26969, - "Ġpatriot": 26970, - "ĠGabriel": 26971, - "jug": 26972, - "Ġharmonic": 26973, - "Ġhalfway": 26974, - "Ġbake": 26975, - "omp": 26976, - "Ġmediated": 26977, - "Ġassociates": 26978, - "Ġscriptures": 26979, - "ĠAdventure": 26980, - "ĠKrishna": 26981, - "marg": 26982, - "Ġugly": 26983, - "ĠCraig": 26984, - "Person": 26985, - "å°": 26986, - "Ġdaring": 26987, - "staff": 26988, - "Ġseize": 26989, - "ĠNegative": 26990, - "Ġavocado": 26991, - "ĠAppendix": 26992, - "Ġfreshly": 26993, - "Ġcatastrophe": 26994, - "Ġreferend": 26995, - "Ġspells": 26996, - "ophone": 26997, - "runner": 26998, - "Far": 26999, - "osin": 27000, - "ĠWald": 27001, - "ĠRwanda": 27002, - "Ġjumps": 27003, - "Ġresistor": 27004, - "Ġmountainous": 27005, - "ĠChang": 27006, - "Prob": 27007, - "Ġbureauc": 27008, - "Ġsine": 27009, - "placed": 27010, - "ि": 27011, - "GF": 27012, - "Germ": 27013, - "acl": 27014, - "iban": 27015, - "Ġjars": 27016, - "Inv": 27017, - "paramet": 27018, - "Ġfamiliarize": 27019, - "ĠBASIS": 27020, - "verter": 27021, - "perhaps": 27022, - "Ġrenewables": 27023, - "ĠInfluence": 27024, - "Sen": 27025, - "iteration": 27026, - "Ġconsumes": 27027, - "ĠMuscle": 27028, - "ĠFeeling": 27029, - "Ġcue": 27030, - "Ġblends": 27031, - "oxins": 27032, - "Ġmandated": 27033, - "osome": 27034, - "holding": 27035, - "Ġarranging": 27036, - "Arthur": 27037, - "ĠProcesses": 27038, - "ERSION": 27039, - "...,": 27040, - "letters": 27041, - "ĠEmpower": 27042, - "ĠEfficiency": 27043, - "Ġdisposition": 27044, - "ronts": 27045, - "Ġgenders": 27046, - "rapeutic": 27047, - "thinking": 27048, - "aclass": 27049, - "Ġturnover": 27050, - "ĠSacred": 27051, - "Mill": 27052, - "WD": 27053, - "Ã¥": 27054, - "Ġranc": 27055, - "Ġanatomical": 27056, - "wire": 27057, - "ĠCul": 27058, - "Ġreliably": 27059, - "Ġamen": 27060, - "endswith": 27061, - "Ġkale": 27062, - "Ġreadable": 27063, - "guided": 27064, - "ĠFul": 27065, - "maybe": 27066, - "Ġtilt": 27067, - "Ġoranges": 27068, - "ĠStars": 27069, - "Ġinitiating": 27070, - "Ġlingering": 27071, - "ucaly": 27072, - "Ġobjection": 27073, - "assertIs": 27074, - "Ġintrospection": 27075, - "ĠCarr": 27076, - "photo": 27077, - "Ġdiffuse": 27078, - "Ġdepiction": 27079, - "chip": 27080, - "Ġsting": 27081, - "ĠSax": 27082, - "acic": 27083, - "ĠKepler": 27084, - "ABILITY": 27085, - "Ġintimidating": 27086, - "Ġsuperheroes": 27087, - "Ġaccredited": 27088, - "Ġtheat": 27089, - "Ġavian": 27090, - "ischer": 27091, - "ĠAttorney": 27092, - "ĠMunich": 27093, - "ipelago": 27094, - "ĠOste": 27095, - "Ġseminars": 27096, - "flatten": 27097, - "âĹı": 27098, - "bred": 27099, - "bows": 27100, - "ĠCopenhagen": 27101, - "resa": 27102, - "Ġevergreen": 27103, - "Ġpronouns": 27104, - "Ġechoes": 27105, - "ĠIan": 27106, - "Ġprosecution": 27107, - "ĠHaven": 27108, - "Ġauthorization": 27109, - "Ġterminals": 27110, - "Ġpolyg": 27111, - "Ġartifact": 27112, - "Ġadhesion": 27113, - "CRE": 27114, - "ĠPediatric": 27115, - "traumatic": 27116, - "ĠCBT": 27117, - "asha": 27118, - "ĠPlat": 27119, - "Ġdisciplinary": 27120, - "Ġalteration": 27121, - "ĠSandy": 27122, - "adows": 27123, - "Ġvicious": 27124, - "ĠUI": 27125, - "Ġconstrained": 27126, - "Ġimb": 27127, - "Ġpreaching": 27128, - "impact": 27129, - "Ġprogen": 27130, - "shared": 27131, - "Ġcracked": 27132, - "Books": 27133, - "awk": 27134, - "Exercise": 27135, - "BU": 27136, - "Remove": 27137, - "Ġneuronal": 27138, - "ĠScriptures": 27139, - "Japanese": 27140, - "ï¬ģ": 27141, - "Sep": 27142, - "atology": 27143, - "Ġreap": 27144, - "Ġ()": 27145, - "Ġjur": 27146, - "Ġdowns": 27147, - "Price": 27148, - "ĠSV": 27149, - "Ġperce": 27150, - 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29872, - "Ġrevisit": 29873, - "bag": 29874, - "dic": 29875, - "Ġhides": 29876, - "Ġthromb": 29877, - "ipot": 29878, - "veniles": 29879, - "Ġviolin": 29880, - "amburg": 29881, - "ĠMemphis": 29882, - "lv": 29883, - "ĠDS": 29884, - "Ġtrimes": 29885, - "Ġprecaution": 29886, - "Values": 29887, - "Ġuterine": 29888, - "Ġtetra": 29889, - "Ġmarshes": 29890, - "Ġgru": 29891, - "Ġcaption": 29892, - "ĠComing": 29893, - "Ġfireworks": 29894, - "ĠSOFTWARE": 29895, - "Ġattributable": 29896, - "istries": 29897, - "Ġpitu": 29898, - "Ġrevolves": 29899, - "ĠConservative": 29900, - "ĠAe": 29901, - "ĠCer": 29902, - "Ġemblem": 29903, - "Ġthinning": 29904, - "Ġfountain": 29905, - "aksh": 29906, - "ĠBlind": 29907, - "ĠSquad": 29908, - "Ġarte": 29909, - "uttering": 29910, - "Ġantigens": 29911, - "sid": 29912, - "otoxic": 29913, - "ĠLav": 29914, - "ĠGlac": 29915, - "Ġguessing": 29916, - "ãĢģ": 29917, - "ĠPictures": 29918, - "Rele": 29919, - "ĠWiki": 29920, - "arynge": 29921, - "listdir": 29922, - "Ġbleach": 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"Diet": 30272, - "ζ": 30273, - "roly": 30274, - "Ġperfor": 30275, - "metal": 30276, - "ĠSlave": 30277, - "Ġgracefully": 30278, - "Ġneurotransmitters": 30279, - "ĠCin": 30280, - "geometry": 30281, - "ogas": 30282, - "Ġsunk": 30283, - "ĠSerge": 30284, - "ĠKenneth": 30285, - "ĠDuncan": 30286, - "Ġmisconduct": 30287, - "near": 30288, - "ĠNu": 30289, - "Ġplac": 30290, - "Ġsmiling": 30291, - "filtered": 30292, - "Ġpersuaded": 30293, - "Ġgrooming": 30294, - "Ġicy": 30295, - "ĠPrel": 30296, - "ĠDy": 30297, - ".....": 30298, - "ERN": 30299, - "Ray": 30300, - "Ġincision": 30301, - "Ġdirects": 30302, - "Ġnarrowing": 30303, - "Ġdesperately": 30304, - "mort": 30305, - "orean": 30306, - "Ġinvoked": 30307, - "ĠShop": 30308, - "Ġeldest": 30309, - "Earl": 30310, - "agara": 30311, - "Ġimprint": 30312, - "Ġxen": 30313, - "čĊčĊĠĠĠĠĠĠĠĠĠĠĠ": 30314, - "ĠBrooks": 30315, - "MODEL": 30316, - "Typ": 30317, - "kov": 30318, - "abetics": 30319, - "Ġmoods": 30320, - "ĠMeditation": 30321, - "Ġobservance": 30322, - 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"HOST": 30373, - "Ġimprovis": 30374, - "Ġdevastation": 30375, - "Points": 30376, - "Ġenlightened": 30377, - "another": 30378, - "ĠTale": 30379, - "Ġliters": 30380, - "rhosis": 30381, - "Ġ(~": 30382, - "COMP": 30383, - "rotation": 30384, - "igmatic": 30385, - "Feeling": 30386, - "ĠIntroducing": 30387, - "san": 30388, - "virus": 30389, - "Ġtempted": 30390, - "IntegerField": 30391, - "NOTE": 30392, - "KD": 30393, - "dynamic": 30394, - "Ö¸": 30395, - "ĠIcon": 30396, - "cycles": 30397, - "Ġsimmer": 30398, - "ĠCalif": 30399, - "Ġspotting": 30400, - "Ġcentrifug": 30401, - "Ġhelpers": 30402, - "HOW": 30403, - "multiple": 30404, - "ĠRebellion": 30405, - "Greek": 30406, - "LT": 30407, - "ĠSou": 30408, - "Ġexternally": 30409, - "ĠBacon": 30410, - "Ġclone": 30411, - "omencl": 30412, - "ĠBlockchain": 30413, - "ascii": 30414, - "ĠLact": 30415, - "achy": 30416, - "ĠRespond": 30417, - "ĠMint": 30418, - "Ġhyperactivity": 30419, - "Neuro": 30420, - "ĠSEO": 30421, - "Ġrivalry": 30422, - "WHAT": 30423, - 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30571, - "Ġlibrarians": 30572, - "Ġreplica": 30573, - "Tex": 30574, - "solution": 30575, - "('_": 30576, - "ĠResilience": 30577, - "ĠPhone": 30578, - "Ġfurnished": 30579, - "predictions": 30580, - "à¥ĩ": 30581, - "Ġbullied": 30582, - "ĠBeauty": 30583, - "Ġpragmatic": 30584, - "ĠKarn": 30585, - "ermal": 30586, - "Ġtrek": 30587, - "Ġwheelchair": 30588, - "ĠLiberation": 30589, - "ĠPhotoshop": 30590, - "Ġflattened": 30591, - "ĠPyramid": 30592, - "Ġpledged": 30593, - "Ġpredation": 30594, - "Ġfloats": 30595, - "Ġtorped": 30596, - "Ġqueens": 30597, - "Ġorchestr": 30598, - "Ġpatriarchal": 30599, - "Boolean": 30600, - "trial": 30601, - "atoms": 30602, - "ĠOst": 30603, - "ensure": 30604, - "Ġcarrot": 30605, - "Ġparaly": 30606, - "ĠPerman": 30607, - "hya": 30608, - "ĠKindergarten": 30609, - "Ġpilgrims": 30610, - "Pet": 30611, - "fishing": 30612, - "verify": 30613, - "iku": 30614, - "ĠEvangel": 30615, - "Ġprevailed": 30616, - "ĠNicarag": 30617, - "ĠKitchen": 30618, - "ĠBS": 30619, - "ĠWalking": 30620, - "orithms": 30621, - "Genesis": 30622, - "Ġheterogeneous": 30623, - "------------------------------": 30624, - "Ġfauc": 30625, - "ĠFrame": 30626, - "neutral": 30627, - "Ġapopt": 30628, - "ĠHazard": 30629, - "walks": 30630, - "ĠHepatitis": 30631, - "dala": 30632, - "ethnic": 30633, - "Ġfluent": 30634, - "bladder": 30635, - "Ġallergen": 30636, - "ĠTorres": 30637, - "ĠAtomic": 30638, - "ieties": 30639, - "Ġstricter": 30640, - "dk": 30641, - "ingo": 30642, - "Ġanalyzes": 30643, - "Ġrotational": 30644, - "ĠLocke": 30645, - "Ġpalsy": 30646, - "itability": 30647, - "chle": 30648, - "Introdu": 30649, - "Ġselves": 30650, - "Ġrecruiting": 30651, - "uschwitz": 30652, - "Ġconject": 30653, - "ĠPill": 30654, - "Ġjog": 30655, - "ĠJohnston": 30656, - "ĠGenerate": 30657, - "न": 30658, - "ĠGiov": 30659, - "ï¸": 30660, - "ĠâĢľ[": 30661, - "ĠMonroe": 30662, - "ĠReduced": 30663, - "Ġantennas": 30664, - "ĠUCLA": 30665, - "Ġtectonic": 30666, - "thermal": 30667, - "Ġstrata": 30668, - "Ġfeeders": 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"ĠBug": 31908, - "emeter": 31909, - "Ġrealizes": 31910, - "Ġconspicuous": 31911, - "ĠPlateau": 31912, - "Hyper": 31913, - "ĠVikings": 31914, - "Ġpc": 31915, - "stated": 31916, - "ondo": 31917, - "Ġpredefined": 31918, - "olytic": 31919, - "Ġpicnic": 31920, - "Ġinterstellar": 31921, - "Ġsophistication": 31922, - "Ġlords": 31923, - "ĠMales": 31924, - "Ġsoaked": 31925, - "Ġsympath": 31926, - "ALS": 31927, - "ĠExtreme": 31928, - "Ġharmoniously": 31929, - "Ġlawns": 31930, - "Growing": 31931, - "walls": 31932, - "à¹": 31933, - "atan": 31934, - "Ġfibrous": 31935, - "Ġferry": 31936, - "ĠParadise": 31937, - "Soci": 31938, - "esch": 31939, - "alignment": 31940, - "Ġhooked": 31941, - "quote": 31942, - "Ġinferred": 31943, - "ĠAdolesc": 31944, - "Ġkillings": 31945, - "Ġmentorship": 31946, - "Ġnomadic": 31947, - "Ġsteroid": 31948, - "WM": 31949, - "farm": 31950, - "ordable": 31951, - "Ġargumentative": 31952, - "Ġκ": 31953, - "ĠAccel": 31954, - "Ġdiaspora": 31955, - "gap": 31956, - "umni": 31957, - 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- "Ġmango": 32059, - "Ġcondensed": 32060, - "ĠCombined": 32061, - "ĠCitizen": 32062, - "enta": 32063, - "ĠTub": 32064, - "ĠPew": 32065, - "Ġchili": 32066, - "Ġtablespoons": 32067, - "planned": 32068, - "ĠChad": 32069, - "Ġfacto": 32070, - "Ġunsustainable": 32071, - "ĠPainting": 32072, - "Ġfronts": 32073, - "elin": 32074, - "assis": 32075, - "Ġpartnered": 32076, - "Ġlogos": 32077, - "ĠLeone": 32078, - "ĠNorthwestern": 32079, - "Adding": 32080, - "Ġmethylation": 32081, - "ĠAlbany": 32082, - "velocity": 32083, - "aseous": 32084, - "Ġsocialization": 32085, - "Ġcalend": 32086, - "polar": 32087, - "ĠPropag": 32088, - "Ġtrimester": 32089, - "å¹": 32090, - "Ġreds": 32091, - "ĠBoh": 32092, - "bsp": 32093, - "ATER": 32094, - "ĠElectronics": 32095, - "Ġshutdown": 32096, - "Ġfederally": 32097, - "Ġlumbar": 32098, - "ocument": 32099, - "Ġintangible": 32100, - "ĠThirty": 32101, - "ĠNotable": 32102, - "Ġcollateral": 32103, - "Ġunwavering": 32104, - "Ġswallowed": 32105, - "ĠFeedback": 32106, - "oscience": 32107, - "ĠTeeth": 32108, - "Ġsymbolizing": 32109, - "Bu": 32110, - "Ġhometown": 32111, - "Ġinterfer": 32112, - "Ġcreams": 32113, - "Stress": 32114, - "apsing": 32115, - "gui": 32116, - "Ġblew": 32117, - "ĠENUM": 32118, - "ĠDialogue": 32119, - "having": 32120, - "wers": 32121, - "Ñħ": 32122, - "Ġtier": 32123, - "Ġnormalization": 32124, - "omenclature": 32125, - "Camp": 32126, - "Ġinline": 32127, - "ĠChal": 32128, - "Ġchoir": 32129, - "Ġgeese": 32130, - "ANN": 32131, - "ĠSchmidt": 32132, - "ĠTypical": 32133, - "utc": 32134, - "Sea": 32135, - "Ġpreschoolers": 32136, - "Ġsleeves": 32137, - "Heb": 32138, - "Si": 32139, - "TEM": 32140, - "Ġpenny": 32141, - "Ġnat": 32142, - "Ġheats": 32143, - "Ġincurred": 32144, - "Ġlaure": 32145, - "ĠMarines": 32146, - "Ġprogressing": 32147, - "ĠWriter": 32148, - "ĠSubstance": 32149, - "Agent": 32150, - "Ġcondu": 32151, - "Animal": 32152, - "ĠRegistry": 32153, - "transfer": 32154, - "Spring": 32155, - "apon": 32156, - "Ġpuzzled": 32157, - "ĠSnake": 32158, - "Ġpropriet": 32159, - "Jack": 32160, - "MAR": 32161, - "Ġfoc": 32162, - "ĠCred": 32163, - "esthesia": 32164, - "ĠWinston": 32165, - "indent": 32166, - "ĠSwitch": 32167, - "multip": 32168, - "ncbi": 32169, - "ĠIB": 32170, - "osine": 32171, - "Ġattire": 32172, - "uchi": 32173, - "ĠIsles": 32174, - "ĠSurround": 32175, - "zu": 32176, - "ĠCasc": 32177, - "ĠPool": 32178, - "ptics": 32179, - "Ġkicked": 32180, - "ĠPutting": 32181, - "rr": 32182, - "Ġcate": 32183, - "strom": 32184, - "Ġflocks": 32185, - "Ġpolys": 32186, - "ĠCreativity": 32187, - "PDATE": 32188, - "Ġhydroelectric": 32189, - "Ġelectrically": 32190, - "Ġviz": 32191, - "iret": 32192, - "tole": 32193, - "Ġprobiotic": 32194, - "Isa": 32195, - "roles": 32196, - "ampton": 32197, - "ĠCrom": 32198, - "Ġwarp": 32199, - "ĠCanterbury": 32200, - "Ġdivinity": 32201, - "Ġdean": 32202, - "ĠSioux": 32203, - "ĠPVC": 32204, - "ĠFix": 32205, - "ixel": 32206, - "Ġrejecting": 32207, - "ĠEntreprene": 32208, - "ĠWireless": 32209, - "Monday": 32210, - "NL": 32211, - "ĠHern": 32212, - "Ġhailed": 32213, - "Ġlookup": 32214, - "Ġreversible": 32215, - "Ġcytokines": 32216, - "Seg": 32217, - "much": 32218, - "rically": 32219, - "itut": 32220, - "ĠShore": 32221, - "Ġpostdoctoral": 32222, - "Exc": 32223, - "HEAD": 32224, - "hostname": 32225, - "Score": 32226, - "ĠIdeal": 32227, - "Ġfarmed": 32228, - "Ġburrow": 32229, - "Ġadventurers": 32230, - "ĠSaskatchewan": 32231, - "Dou": 32232, - "ÑĨ": 32233, - "arum": 32234, - "Ġlace": 32235, - "ĠRaspberry": 32236, - "avorable": 32237, - "ĠMalawi": 32238, - "PRESS": 32239, - "ĠCosts": 32240, - "Ġpatronage": 32241, - "WID": 32242, - "edo": 32243, - "adal": 32244, - "onement": 32245, - "Ġacclaimed": 32246, - "Ġcampuses": 32247, - "ĠMineral": 32248, - "Ġapartments": 32249, - "screens": 32250, - "Ġureth": 32251, - "anched": 32252, - "ĠShab": 32253, - "Ġannotated": 32254, - "Ġamenities": 32255, - "ĠMÄģori": 32256, - "Jud": 32257, - "rals": 32258, - "vik": 32259, - "ĠWarning": 32260, - 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32607, - "yalgia": 32608, - "Ġadversaries": 32609, - "\\_\\_": 32610, - "Password": 32611, - "Capt": 32612, - "bite": 32613, - "rification": 32614, - "lehem": 32615, - "azole": 32616, - "Ġfaiths": 32617, - "Ġundertook": 32618, - "ĠCoordinator": 32619, - "è¡Į": 32620, - "ĠTudor": 32621, - "Ġ(=": 32622, - "ĠMé": 32623, - "ĠLights": 32624, - "ĠOng": 32625, - "Ġsquid": 32626, - "Clinical": 32627, - "Ġventricular": 32628, - "ĠIllness": 32629, - "ĠIntroduce": 32630, - "ĠDurham": 32631, - "åľ¨": 32632, - "Ġinfringement": 32633, - "Ġfingertips": 32634, - "ĠThomson": 32635, - "Ġtwigs": 32636, - "Chief": 32637, - "ĠKeys": 32638, - "Ġscalable": 32639, - "Ġnovice": 32640, - "dash": 32641, - "Ġbarc": 32642, - "ĠThunder": 32643, - "partition": 32644, - "ĠEvolutionary": 32645, - "ĠEnhance": 32646, - "ÅŁ": 32647, - "Ġil": 32648, - "Ġeclips": 32649, - "Ġperturb": 32650, - "Ġabras": 32651, - "Ġ*=": 32652, - "previous": 32653, - "ĠShepherd": 32654, - "ĠCornwall": 32655, - "zekiel": 32656, - "+=": 32657, 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"Ġconverge": 32758, - "Ġrospy": 32759, - "Ġunderpinnings": 32760, - "hof": 32761, - "Ġhandbook": 32762, - "Ġrested": 32763, - "Ġnormative": 32764, - "Ġfortunes": 32765, - "Ġgestational": 32766, - "Ġnegligence": 32767, - "bler": 32768, - "Ġfrying": 32769, - "ermis": 32770, - "ĠSpider": 32771, - "ĠVegetables": 32772, - "alamus": 32773, - "Ġunmanned": 32774, - "Raw": 32775, - "Ġexcre": 32776, - "Ġchorus": 32777, - "Ġwording": 32778, - "Ġtraveler": 32779, - "ĠRegistration": 32780, - "ĠMyc": 32781, - "Ġcamel": 32782, - "ĠSwan": 32783, - "Ġfixation": 32784, - "ĠâĹ": 32785, - "ĠFarmer": 32786, - "Helper": 32787, - "ĠSpaniards": 32788, - "Az": 32789, - "}',": 32790, - "classification": 32791, - "observation": 32792, - "buf": 32793, - "Ġergon": 32794, - "Ġophthalm": 32795, - "ĠTables": 32796, - "Ġstaged": 32797, - "horse": 32798, - "ĠExpansion": 32799, - "Ġalienation": 32800, - "Ġdoctorate": 32801, - "Ġdeploying": 32802, - "[[": 32803, - "yang": 32804, - "ĠTrig": 32805, - "ĠHes": 32806, - "Ġsober": 32807, - "Ġsoaking": 32808, - "ĠMorrison": 32809, - "Ġsubtly": 32810, - "ocalyptic": 32811, - "inable": 32812, - "Ġhern": 32813, - "Ġcirrhosis": 32814, - "Ġextrapol": 32815, - "Ġinvestigates": 32816, - "Ġaspiration": 32817, - "Gender": 32818, - "NI": 32819, - "ĠAMD": 32820, - "ĠRid": 32821, - "Ġdeserved": 32822, - "Ġstandardization": 32823, - "Ġpalaces": 32824, - "Ġbrigade": 32825, - "Ġtributaries": 32826, - "Match": 32827, - "camp": 32828, - "čĊĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 32829, - "Ġunpublished": 32830, - "optimal": 32831, - "Ġpropel": 32832, - "ĠProvides": 32833, - "CLC": 32834, - "Required": 32835, - "invent": 32836, - "ository": 32837, - "avia": 32838, - "othered": 32839, - "Ġbicycles": 32840, - "Eds": 32841, - "Nothing": 32842, - "fty": 32843, - "utz": 32844, - "Ġcondom": 32845, - "ĠPour": 32846, - "ĠYuk": 32847, - "borg": 32848, - "roqu": 32849, - "ctools": 32850, - "ĠHour": 32851, - "deal": 32852, - "thought": 32853, - "Ġlogistic": 32854, - "Ġevaluates": 32855, - "choices": 32856, - "Ġconvex": 32857, - "Ġscarcely": 32858, - "ĠGospels": 32859, - "Ġdilute": 32860, - "ĠMozamb": 32861, - "Ġnewcomers": 32862, - "grow": 32863, - "Ġinfested": 32864, - "Ġdecoder": 32865, - "inae": 32866, - "ĠHerz": 32867, - "Ġcomforting": 32868, - "ĠINTER": 32869, - "nob": 32870, - "rored": 32871, - "ĠConsumption": 32872, - "Ġcompletes": 32873, - "feres": 32874, - "Ġjuveniles": 32875, - "Ġsickle": 32876, - "Ġcherish": 32877, - "DEC": 32878, - "Ġtac": 32879, - "ĠMoss": 32880, - "Ġunaffected": 32881, - "Ġunavoid": 32882, - "ĠHeights": 32883, - "Ġinsulating": 32884, - "Ġcheeks": 32885, - "Ġforested": 32886, - "Ġrebirth": 32887, - "timed": 32888, - "Ġwholesale": 32889, - "Ġmellitus": 32890, - "XY": 32891, - "ĠCli": 32892, - "Ġprematurely": 32893, - "Ġadrenaline": 32894, - "termediate": 32895, - "jac": 32896, - "Ġtingling": 32897, - "ĠFruits": 32898, - "Ġreplies": 32899, - "Ġashore": 32900, - "Player": 32901, - "fro": 32902, - "ĠNurse": 32903, - "Ġinsists": 32904, - 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"Gene": 33003, - "Ġrelocation": 33004, - "Ġsociological": 33005, - "Ġsupermarkets": 33006, - "Ġobstructive": 33007, - "Ġfabricated": 33008, - "ĠNormandy": 33009, - "ĠAppalachian": 33010, - "Ġcunning": 33011, - "ĠAlps": 33012, - "ahs": 33013, - "Ġpostal": 33014, - "ĠAusten": 33015, - "Ġarchaeologist": 33016, - "publish": 33017, - "Ġiterative": 33018, - "Ġintracellular": 33019, - "ĠLancaster": 33020, - "Ġletharg": 33021, - "tum": 33022, - "Ġlone": 33023, - "Ġwhisk": 33024, - "ecost": 33025, - "ĠAmph": 33026, - "Ġinhibiting": 33027, - "Ġfiery": 33028, - "ĠAzerbaijan": 33029, - "TF": 33030, - "åĨ": 33031, - "oteric": 33032, - "andescent": 33033, - "izens": 33034, - "bringing": 33035, - "Ġpolicing": 33036, - "Ġdividends": 33037, - "ĠDesigned": 33038, - "Team": 33039, - "ĠGlobe": 33040, - "Ġglycemic": 33041, - "ĠPaste": 33042, - "Ġexpr": 33043, - "ĠAncest": 33044, - "States": 33045, - "Ġreceivers": 33046, - "flux": 33047, - "nat": 33048, - "amate": 33049, - "romyalgia": 33050, - "clone": 33051, - "Ġupheld": 33052, - "Ġfunnel": 33053, - "Ġdiversion": 33054, - "ĠBayesian": 33055, - "Ġcompounded": 33056, - "Everything": 33057, - "ĠConfederation": 33058, - "Ġlighthouse": 33059, - "ĠTommy": 33060, - "Ġalve": 33061, - "ĠEE": 33062, - "Ġoffender": 33063, - "olecule": 33064, - "ĠCarlo": 33065, - "ĠInitialize": 33066, - "Ġmistakenly": 33067, - "Ġgleaned": 33068, - "Ġtandem": 33069, - "ĠDHA": 33070, - "Ġentrusted": 33071, - "ylene": 33072, - "Proper": 33073, - "Ġoutsiders": 33074, - "Ġappraisal": 33075, - "Ġkitchens": 33076, - "ĠBabies": 33077, - "ĠMarxism": 33078, - "ĠJoyce": 33079, - "Ġoyster": 33080, - "izen": 33081, - "Ġplut": 33082, - "ĠNEW": 33083, - "VC": 33084, - "íķ": 33085, - "elastic": 33086, - "ggling": 33087, - "Ġpaperwork": 33088, - "Ġloosen": 33089, - "deredDict": 33090, - "ĠCaroline": 33091, - "ĠTank": 33092, - "allic": 33093, - "ĠInquiry": 33094, - "STOR": 33095, - "runs": 33096, - "Ġhomestead": 33097, - "ĠLaboratories": 33098, - "Ġhypothesized": 33099, - 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- "Loc": 33151, - "iatic": 33152, - "emy": 33153, - "Ġclut": 33154, - "Ġcaloric": 33155, - "ocumented": 33156, - "Ġauditor": 33157, - "Ġtrusts": 33158, - "Ġguarded": 33159, - "Private": 33160, - "åıĸ": 33161, - "CBT": 33162, - "Ġns": 33163, - "ĠPond": 33164, - "asties": 33165, - "phrase": 33166, - "Ġconfed": 33167, - "Ġethos": 33168, - "ĠProphe": 33169, - "ĠInfections": 33170, - "Ġoppos": 33171, - "Ġcouch": 33172, - "Ġignores": 33173, - "ĠSamar": 33174, - "оÑĢ": 33175, - "priority": 33176, - "ĠHarmonyville": 33177, - "Ġtopped": 33178, - "arching": 33179, - "alfa": 33180, - "Ġactionable": 33181, - "Ġmanifold": 33182, - "Ġlicence": 33183, - "Ġfashionable": 33184, - "æİ": 33185, - "Ġsher": 33186, - "Ġmural": 33187, - "Ġsepsis": 33188, - "availability": 33189, - "Ġtrays": 33190, - "Ġagreeing": 33191, - "ĠMechanics": 33192, - "plugins": 33193, - "Ġupgrades": 33194, - "Ġclutter": 33195, - "ĠManifest": 33196, - "Ġpronoun": 33197, - "ĠHopefully": 33198, - "Ġlurking": 33199, - "liest": 33200, - "Ġpus": 33201, - "ĠVine": 33202, - "DEF": 33203, - "Ġoverlooking": 33204, - "ĠMarco": 33205, - "ĠVon": 33206, - "Ġinterferes": 33207, - "CODE": 33208, - "Ġpremier": 33209, - "Ġshouting": 33210, - "ller": 33211, - "Ġprophetic": 33212, - "Testing": 33213, - "Ġrailways": 33214, - "Ġscalability": 33215, - "Ġleaning": 33216, - "Sing": 33217, - "pkl": 33218, - "Ġomit": 33219, - "Ġmd": 33220, - "ilight": 33221, - "ĠTah": 33222, - "Ġplume": 33223, - "Ġexpired": 33224, - "ĠParish": 33225, - "Ġinjecting": 33226, - "ĠAccessibility": 33227, - "Ġmolding": 33228, - "Ġquotations": 33229, - "Political": 33230, - "ĠNutr": 33231, - "Chemical": 33232, - "rils": 33233, - "strand": 33234, - "ĠPump": 33235, - "quake": 33236, - "Ġswamp": 33237, - "Phase": 33238, - "ĠProvidence": 33239, - "Eventually": 33240, - "Ïį": 33241, - "ĠTW": 33242, - "inee": 33243, - "brane": 33244, - "ĠFreeman": 33245, - "Ġmeteorological": 33246, - "Ġflammable": 33247, - "tas": 33248, - "Ġquota": 33249, - "ĠPride": 33250, - "ĠCOP": 33251, - "peutics": 33252, - "ĠTribune": 33253, - "ophe": 33254, - "Ġdisclosed": 33255, - "ARI": 33256, - "borhood": 33257, - "Ġrotary": 33258, - "ĠProcedure": 33259, - "Ġimpe": 33260, - "dominated": 33261, - "Univers": 33262, - "Ġmotivational": 33263, - "Ġirritated": 33264, - "authored": 33265, - "Ġnonsense": 33266, - "Ġendorsement": 33267, - "Ġinfiltration": 33268, - "aqu": 33269, - "aligned": 33270, - "Ġforc": 33271, - "ĠGER": 33272, - "Ġresided": 33273, - "ceptor": 33274, - "Ġsurreal": 33275, - "Ġwildly": 33276, - "gradient": 33277, - "founded": 33278, - "Suppose": 33279, - "nit": 33280, - "opting": 33281, - "Ġunbelie": 33282, - "ĠClos": 33283, - "Ġbirthplace": 33284, - "Ġsavory": 33285, - "Ġaccumulating": 33286, - "Ġmilder": 33287, - "Ġdumped": 33288, - "ĠBaldwin": 33289, - "lost": 33290, - "Ġstacks": 33291, - "Ġital": 33292, - "Ġsuppressing": 33293, - "ĠSacramento": 33294, - ")^": 33295, - "AH": 33296, - "Drug": 33297, - "ĠHours": 33298, - "Ġmalign": 33299, - "xyz": 33300, - "utations": 33301, - "ĠRD": 33302, - "Ġadapter": 33303, - "Ġglimps": 33304, - "Ġlogistical": 33305, - "lette": 33306, - "registry": 33307, - "ĠContrast": 33308, - "ĠMalta": 33309, - "orrhea": 33310, - "lif": 33311, - "Ġperi": 33312, - "tele": 33313, - "listed": 33314, - "Ġfaire": 33315, - "Ġpenis": 33316, - "dimension": 33317, - "Ġallele": 33318, - "Url": 33319, - "uties": 33320, - "ĠAU": 33321, - "ĠSage": 33322, - "ĠKaiser": 33323, - "Ġspeeding": 33324, - "ĠBerry": 33325, - "losses": 33326, - "Ġdiligence": 33327, - "ĠCzechosl": 33328, - "Ġwrinkles": 33329, - "failure": 33330, - "éĹ": 33331, - "Ġoft": 33332, - "Ġmanga": 33333, - "yss": 33334, - "RIBUT": 33335, - "Ġextraterrestrial": 33336, - "Few": 33337, - "Ġadept": 33338, - "ulsions": 33339, - "ĠPlaying": 33340, - "Ġcoexistence": 33341, - "ĠItalians": 33342, - "Running": 33343, - "ĠHear": 33344, - "ĠRams": 33345, - "ourg": 33346, - "ĠScan": 33347, - "Problem": 33348, - "Humans": 33349, - "Soon": 33350, - "ĠKre": 33351, - "ĠProfessionals": 33352, - "Ġloudly": 33353, - "Ġanxieties": 33354, - "circuit": 33355, - "Ġunderscoring": 33356, - "Ġpermissible": 33357, - "UES": 33358, - "Wait": 33359, - "Ġcms": 33360, - "Ġsupra": 33361, - "ĠJD": 33362, - "ritz": 33363, - "ĠEnviron": 33364, - "ĠRomanian": 33365, - "ĠTreatments": 33366, - "Members": 33367, - "bars": 33368, - "tel": 33369, - "ĠRecycling": 33370, - "ĠEdwin": 33371, - "Validation": 33372, - "Ġpsychiatry": 33373, - "Ġparsley": 33374, - "fmt": 33375, - "Ġhated": 33376, - "ĠSard": 33377, - "odef": 33378, - "ĠLon": 33379, - "spatial": 33380, - "Ġcools": 33381, - "ĠRemoval": 33382, - "ĠTwain": 33383, - "ĠMonthly": 33384, - "ĠFalcon": 33385, - "ĠBiomedical": 33386, - "pkg": 33387, - "amis": 33388, - "perse": 33389, - "ourced": 33390, - "Ġfluffy": 33391, - "Ġexposition": 33392, - "Ġliberated": 33393, - "ĠInnovative": 33394, - "olor": 33395, - "Ġstature": 33396, - "osate": 33397, - "Ġsuperb": 33398, - "Jun": 33399, - "npy": 33400, - "alla": 33401, - "matches": 33402, - "Ġdiarrhoea": 33403, - "eronomy": 33404, - "ĠPag": 33405, - "ĠNecess": 33406, - "ĠYounger": 33407, - "Ġenthusiast": 33408, - "Ġsten": 33409, - "onda": 33410, - "Ġairlines": 33411, - "ĠArtist": 33412, - "Ġdryer": 33413, - "rho": 33414, - "ĠLuckily": 33415, - "Mid": 33416, - "ĠTick": 33417, - "Ġblob": 33418, - "Ġminors": 33419, - "orescence": 33420, - "ĠCivilization": 33421, - "ĠNavigation": 33422, - "Ġsermon": 33423, - "icators": 33424, - "ustry": 33425, - "Ġalgal": 33426, - "Ġд": 33427, - "eze": 33428, - "owulf": 33429, - "ifera": 33430, - "ivore": 33431, - "ĠFight": 33432, - "permission": 33433, - "Ġoprot": 33434, - "ĠSloven": 33435, - "Ġsubtropical": 33436, - "ĠREAD": 33437, - "Ġreverber": 33438, - "Ġamygdala": 33439, - "park": 33440, - "icia": 33441, - "ĠAJ": 33442, - "ĠMuss": 33443, - "ĠGerald": 33444, - "wey": 33445, - "Ġ[])": 33446, - "Ġolfactory": 33447, - "powers": 33448, - "Speed": 33449, - "Ġbs": 33450, - "Ġconcessions": 33451, - "Ġadip": 33452, - "Ġdealers": 33453, 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"Ġstreamlined": 33506, - "ĠConfiguration": 33507, - "Ġoverex": 33508, - "Ġengraved": 33509, - "Ġbolstering": 33510, - "Earlier": 33511, - "rinsic": 33512, - "Ġtxt": 33513, - "ĠHip": 33514, - "xtap": 33515, - "ĠAlf": 33516, - "------------------": 33517, - "Ġcataracts": 33518, - "ĠKazakhstan": 33519, - "Moving": 33520, - "daily": 33521, - "ĠSisters": 33522, - "ĠSimpson": 33523, - "Ġglossary": 33524, - "ĠVolunteer": 33525, - "æŶ": 33526, - "VIII": 33527, - "Ġmussels": 33528, - "ĠFE": 33529, - "Ġarth": 33530, - "Ġtreatise": 33531, - "Ġcolonized": 33532, - "Ġmurals": 33533, - "violence": 33534, - "à¯": 33535, - "erd": 33536, - "ĠTail": 33537, - "ĠHP": 33538, - "inders": 33539, - "Ġnomination": 33540, - "asaki": 33541, - "irls": 33542, - "ĠThir": 33543, - "blast": 33544, - "assertFalse": 33545, - "Ġpositives": 33546, - "existent": 33547, - "Ġsupervise": 33548, - "Ġsandwiches": 33549, - "Citation": 33550, - "cannot": 33551, - "north": 33552, - "ĠSplit": 33553, - "perform": 33554, - "ĠColors": 33555, - "ĠFlint": 33556, - "hael": 33557, - "Ġindexed": 33558, - "corr": 33559, - "Ġrelieving": 33560, - "ĠAcknow": 33561, - "searc": 33562, - "Ġalph": 33563, - "Ġalias": 33564, - "uds": 33565, - "ĠArthritis": 33566, - "Ġmillimeters": 33567, - "ĠLeopold": 33568, - "Ġ__________________": 33569, - "Ġbitten": 33570, - "ĠPolyn": 33571, - "feit": 33572, - "Ġveterinarians": 33573, - "fashioned": 33574, - "pic": 33575, - "Ġperse": 33576, - "Ġspurred": 33577, - "Ġmonot": 33578, - "ï¼Ī": 33579, - "Photos": 33580, - "kefeller": 33581, - "ĠDale": 33582, - "plays": 33583, - "Ġexpiration": 33584, - "brook": 33585, - "ĠHonduras": 33586, - "slic": 33587, - "ĠLub": 33588, - "Ġstartling": 33589, - "Ġdelved": 33590, - "flip": 33591, - "IPE": 33592, - "Ġunderside": 33593, - "ĠSelecting": 33594, - "Ġhypothyroidism": 33595, - "Ġditch": 33596, - "ĠDairy": 33597, - "ploid": 33598, - "ĠUtt": 33599, - "Ġunhe": 33600, - "ĠRece": 33601, - "Ġinnovate": 33602, - "Ġhairy": 33603, - "Ġpunishments": 33604, - "Ye": 33605, - "unn": 33606, - "ensible": 33607, - "Inside": 33608, - "commercial": 33609, - "Ġpolymerase": 33610, - "Ġmilitar": 33611, - "chanics": 33612, - "matplotlib": 33613, - "Ġharvests": 33614, - "ĠSteam": 33615, - "Ġadjunct": 33616, - "Ġrhin": 33617, - "Ġdumping": 33618, - "Evidence": 33619, - "ĠCaucasus": 33620, - "Condition": 33621, - "certainty": 33622, - "ĠNicaragua": 33623, - "ç½": 33624, - "Ġocular": 33625, - "Ġbony": 33626, - "Ġlitres": 33627, - "Ġprotesters": 33628, - "Ġzeal": 33629, - "Conc": 33630, - "qualified": 33631, - "Scott": 33632, - "Ġcartridge": 33633, - "Discussion": 33634, - "TPS": 33635, - "Ġprick": 33636, - "ĠChel": 33637, - "ĠMORE": 33638, - "ĠPassion": 33639, - "Ġhens": 33640, - "ĠJF": 33641, - "ERY": 33642, - "unting": 33643, - "rosophila": 33644, - "ĠAircraft": 33645, - "ĠBhutan": 33646, - "CG": 33647, - "Mag": 33648, - "Ġmentality": 33649, - "Geometry": 33650, - "âķIJâķIJ": 33651, - "motor": 33652, - "Ġlign": 33653, - "ĠHMS": 33654, - "Getty": 33655, - "!**": 33656, - ",(": 33657, - "Future": 33658, - "franch": 33659, - "street": 33660, - "Ġintimately": 33661, - "Ġhello": 33662, - "ucent": 33663, - "Ġcoales": 33664, - "Ġdebugging": 33665, - "Ġmisf": 33666, - "continence": 33667, - "Ġrefrigeration": 33668, - "ĠSale": 33669, - "ablo": 33670, - "Ġpeek": 33671, - "iker": 33672, - "rador": 33673, - "ĠJacobs": 33674, - "Ġcarpets": 33675, - "iere": 33676, - "verte": 33677, - "Ġhaul": 33678, - "Ġpotency": 33679, - "ĠAmelia": 33680, - "Ġtournament": 33681, - "Ġventured": 33682, - "Financial": 33683, - "behavioral": 33684, - "Board": 33685, - "cepts": 33686, - "Ġblockade": 33687, - "ĠOceanic": 33688, - "ĠBullying": 33689, - "ĠGreens": 33690, - "<<": 33691, - "hra": 33692, - "ĠMish": 33693, - "strategy": 33694, - "Ġwiser": 33695, - "Ġmasking": 33696, - "Ġdotted": 33697, - "Ġcataract": 33698, - "Ġsowing": 33699, - "Ġfission": 33700, - "Ġgaseous": 33701, - "ĠPER": 33702, - "Ġjudiciary": 33703, - "Ġmetabolites": 33704, - "Ġorchid": 33705, - "Ġconstellations": 33706, - "migrations": 33707, - "strength": 33708, - "Friday": 33709, - "ionage": 33710, - "ibus": 33711, - "Ġunprotected": 33712, - "ĠNoise": 33713, - "Ġstereotype": 33714, - "ĠAssessing": 33715, - "ĠShelley": 33716, - "tau": 33717, - "ĠGET": 33718, - "ĠSz": 33719, - "ĠCrystal": 33720, - "ĠHS": 33721, - "Ġyourselves": 33722, - "Ġ\"\")": 33723, - "ascus": 33724, - "Ġbleaching": 33725, - "Ġentertained": 33726, - "ĠSidd": 33727, - "ĠStir": 33728, - "ossal": 33729, - "Ġdemo": 33730, - "Builder": 33731, - "Ġabruptly": 33732, - "qs": 33733, - "Ġbang": 33734, - "Ġinquiries": 33735, - "Ġnoses": 33736, - "Ġcraters": 33737, - "Ġconceptions": 33738, - "ĠXY": 33739, - "COUNT": 33740, - "graduates": 33741, - "Distance": 33742, - "Double": 33743, - "izzy": 33744, - "Ġspruce": 33745, - "coat": 33746, - "Ġenvironmentalists": 33747, - "Ġsummarizing": 33748, - "Ġgoss": 33749, - "expect": 33750, - "Ġadvising": 33751, - "Ġcondoms": 33752, - "ĠShortly": 33753, - "accharides": 33754, - "Ġrepentance": 33755, - "tails": 33756, - "Ġferal": 33757, - "ĠTrent": 33758, - "okers": 33759, - "ĠAppl": 33760, - "infection": 33761, - "Ġneuropsych": 33762, - "Ġneckl": 33763, - "music": 33764, - "Ġvoyages": 33765, - "ĠVoices": 33766, - "repository": 33767, - "ĠGiovanni": 33768, - "Ġcipher": 33769, - "ĠFrost": 33770, - "coins": 33771, - "OSS": 33772, - "solve": 33773, - "ĠDistingu": 33774, - "ĠBethlehem": 33775, - "Father": 33776, - "oji": 33777, - "isin": 33778, - "Ġpea": 33779, - "Ġexpanse": 33780, - "Ġcapitalize": 33781, - "ĠMatplotlib": 33782, - "Ġgrocer": 33783, - "coordinates": 33784, - "Fish": 33785, - "Ly": 33786, - "icz": 33787, - "ĠFlask": 33788, - "Ġembarrassment": 33789, - "Ġcamouflage": 33790, - "Ġgrievances": 33791, - "Ġplatinum": 33792, - "ĠKoch": 33793, - "Ġseventeen": 33794, - "Ġserialize": 33795, - "Ġhydropower": 33796, - "toplankton": 33797, - "Ġnucleotide": 33798, - "Harv": 33799, - "Quality": 33800, - "ĠGUI": 33801, - "ĠGCSE": 33802, - "Ġtaxi": 33803, - "Ġoptimally": 33804, - "Ġdragged": 33805, - "Ġdescendant": 33806, - "Ġfigurative": 33807, - "Ġfür": 33808, - "Ġornaments": 33809, - "ĠRum": 33810, - "ĠGel": 33811, - "cloth": 33812, - "Ġcompulsive": 33813, - "Ġdoomed": 33814, - "aise": 33815, - "ité": 33816, - "ĠFur": 33817, - "ĠKend": 33818, - "Ġinspected": 33819, - "Ġconversational": 33820, - "ĠCapacity": 33821, - "ĠZhou": 33822, - "Ġdwellers": 33823, - "Ġgoddesses": 33824, - "BLE": 33825, - "ĠACL": 33826, - "ĠLaz": 33827, - "Ġremed": 33828, - "Ġattrs": 33829, - "Ġentom": 33830, - "Ġcaries": 33831, - "Ġdownwards": 33832, - "Ġpillow": 33833, - "Surface": 33834, - "LOCK": 33835, - "cart": 33836, - "gang": 33837, - "lite": 33838, - "Ġsparing": 33839, - "wered": 33840, - "Ġassortment": 33841, - "proj": 33842, - "Ġmessengers": 33843, - "Ġjournaling": 33844, - "ĠMali": 33845, - "Ġinterviewing": 33846, - "ĠExtended": 33847, - "statistics": 33848, - "Ġarsenal": 33849, - "recognized": 33850, - "HL": 33851, - "trigger": 33852, - "aned": 33853, - "Ġether": 33854, - "ĠTrim": 33855, - "Ġyang": 33856, - "aminated": 33857, - "Doctors": 33858, - "ĠLegislative": 33859, - "esoph": 33860, - "opening": 33861, - "Ġimpractical": 33862, - "Ġopted": 33863, - "ĠSpatial": 33864, - "ĠAssert": 33865, - "ĠTransactions": 33866, - "ĠBiotechnology": 33867, - "Ġsecreted": 33868, - "Ġriparian": 33869, - "ĠVishnu": 33870, - "Ġviolet": 33871, - "Ġtwelfth": 33872, - "Unknown": 33873, - "ĠDeveloped": 33874, - "ĠDevelopments": 33875, - "Ġpineapple": 33876, - "Ġparen": 33877, - "ĠTul": 33878, - "chars": 33879, - "Ġrestless": 33880, - "ĠOrn": 33881, - "ĠGujar": 33882, - "ĠRegression": 33883, - "ĠBrush": 33884, - "ĠHygiene": 33885, - "Ġrenders": 33886, - "!),": 33887, - "nour": 33888, - "ĠEST": 33889, - "unched": 33890, - "Ġpostcolonial": 33891, - "ĠFloat": 33892, - "Ġhorrors": 33893, - "Behavior": 33894, - "Ġgraceful": 33895, - "Ġapoptosis": 33896, - "duty": 33897, - "Ġplethora": 33898, - "ĠRomance": 33899, - "ĠRhine": 33900, - "Ġoverwhelmingly": 33901, - "Ġsensitivities": 33902, - "Folder": 33903, - "onucle": 33904, - "Ġoily": 33905, - "Ġcider": 33906, - "ĠSag": 33907, - "ĠCRE": 33908, - "adam": 33909, - "ĠJO": 33910, - "Country": 33911, - "æķ°æį®": 33912, - "çī": 33913, - "Ġliturgical": 33914, - "Ġpopularly": 33915, - "backward": 33916, - "ĠSociology": 33917, - "mathbf": 33918, - "Ġpearls": 33919, - "tc": 33920, - "ĠFostering": 33921, - "ĠWeak": 33922, - "\"\"\",": 33923, - "ĠSeventh": 33924, - "Ġcollide": 33925, - "ĠBowl": 33926, - "Ġelectrolytes": 33927, - "Ġbunk": 33928, - "Ġregex": 33929, - "ĠSimulation": 33930, - "hematics": 33931, - "Ġpleasures": 33932, - "Ġrejects": 33933, - "ocentric": 33934, - "Ġhallucinations": 33935, - "Ġbos": 33936, - "Ġdusk": 33937, - "ĠLS": 33938, - "ĠWealth": 33939, - "oker": 33940, - "ĠPsychiatric": 33941, - "Ġregimens": 33942, - "ĠAlgeria": 33943, - "DIS": 33944, - "åĢ": 33945, - "ĠFry": 33946, - "Ġbacklash": 33947, - "Ġresponsiveness": 33948, - "ĠLego": 33949, - "ĠRabbit": 33950, - "ĠBecome": 33951, - "Ġcedar": 33952, - "Ġpore": 33953, - "ĠLiquid": 33954, - "Ġoccult": 33955, - "Ġanalysing": 33956, - "ĠDorothy": 33957, - "gerald": 33958, - "tops": 33959, - "Atlantic": 33960, - "ĠGardening": 33961, - "cooked": 33962, - "mobile": 33963, - "Ġpaternal": 33964, - "ĠAdvantages": 33965, - "ĠIsab": 33966, - "Ġhelicopters": 33967, - "Ġindelible": 33968, - "bay": 33969, - "divided": 33970, - "nesty": 33971, - "ilers": 33972, - "ĠStern": 33973, - "Ġtreason": 33974, - "Ġcraving": 33975, - "ĠSketch": 33976, - "Ġmarveled": 33977, - "Discover": 33978, - "xit": 33979, - "ĠDante": 33980, - "Ġdisrespect": 33981, - "Ġmega": 33982, - "Ġemperors": 33983, - "Ġconfer": 33984, - "Ġredis": 33985, - "Ġfixes": 33986, - "ĠEveryday": 33987, - "ĠJimmy": 33988, - "Ġtending": 33989, - "ĠTrip": 33990, - "avian": 33991, - "Ġperceptual": 33992, - "Ġepidemi": 33993, - "ĠMichelle": 33994, - "blown": 33995, - "ĠTrop": 33996, - "Ġexemption": 33997, - "Ġseep": 33998, - "Ġallure": 33999, - "Ġrapt": 34000, - "ĠSpin": 34001, - "Ġconversions": 34002, - "Ġexemplary": 34003, - "ĠInvestigate": 34004, - "Ġdecolonization": 34005, - "ĠMats": 34006, - "Ġtrache": 34007, - "Ġcurtain": 34008, - "subprocess": 34009, - "Ġisolating": 34010, - "Ġfestive": 34011, - "ophysiology": 34012, - "Ġrewrite": 34013, - "ĠBB": 34014, - "Ġglobalized": 34015, - "Ġabnormally": 34016, - "Magn": 34017, - "Prec": 34018, - "arat": 34019, - "ĠIncluding": 34020, - "Ġunresolved": 34021, - "uprofen": 34022, - "Ġxx": 34023, - "softmax": 34024, - "Ġcoincide": 34025, - "{'": 34026, - "ĠASP": 34027, - "ameter": 34028, - "ĠCourses": 34029, - "ĠGC": 34030, - "activate": 34031, - "auri": 34032, - "biological": 34033, - "Ġrevelations": 34034, - "Hyp": 34035, - "Park": 34036, - "Ġdiure": 34037, - "ĠWei": 34038, - "Aside": 34039, - "ĠLouise": 34040, - "|'('": 34041, - "Ġpitcher": 34042, - "Ġmerger": 34043, - "Ġexacerbating": 34044, - "ĠChandra": 34045, - "Ġborough": 34046, - "|')'": 34047, - "bane": 34048, - "Ġprod": 34049, - "quist": 34050, - "ĠInvalid": 34051, - "oides": 34052, - "Ġdebut": 34053, - "Ġsniff": 34054, - "Ġyouthful": 34055, - "Come": 34056, - "Tri": 34057, - "ɪ": 34058, - "phinx": 34059, - "exam": 34060, - "Ġnorthward": 34061, - "Ġhomin": 34062, - "Ġexplosives": 34063, - "aunders": 34064, - "Ġingenious": 34065, - "Ġpopulace": 34066, - "STATUS": 34067, - "ĠDoctrine": 34068, - "Ġninety": 34069, - "ĠPtole": 34070, - "Ġflap": 34071, - "CONF": 34072, - "Ġmobilization": 34073, - "ĠShuttle": 34074, - "ÎŃ": 34075, - "Ġhither": 34076, - "Ġslogan": 34077, - "Ġdoubles": 34078, - "ĠNOTE": 34079, - "Ġbolts": 34080, - "Ġprudent": 34081, - "Rh": 34082, - "ĠFI": 34083, - "Ġpostwar": 34084, - "slot": 34085, - "Classifier": 34086, - "Ġbisc": 34087, - "asan": 34088, - "Ġorang": 34089, - "ĠEuch": 34090, - "Ġprune": 34091, - "ophysics": 34092, - "Ġambul": 34093, - "Transport": 34094, - "Ro": 34095, - "ĠNPR": 34096, - "afrost": 34097, - "Carl": 34098, - "ĠAda": 34099, - "assertIn": 34100, - "Ġ\\\"": 34101, - "ĠPassage": 34102, - "pertension": 34103, - "Ġmansion": 34104, - "ĠScul": 34105, - "âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ": 34106, - "FM": 34107, - "Ġnotifications": 34108, - "prepared": 34109, - "banks": 34110, - "ĠFrontier": 34111, - "ĠBosnia": 34112, - "Ġwrestling": 34113, - "Ġerroneous": 34114, - "ln": 34115, - "yet": 34116, - "ĠEthereum": 34117, - "ovine": 34118, - "Ġcrank": 34119, - "Cluster": 34120, - "Ġvirtuous": 34121, - "ĠArgentine": 34122, - "Australian": 34123, - "ĠAssyrian": 34124, - "lis": 34125, - "magn": 34126, - "ĠMumbai": 34127, - "ĠDion": 34128, - "ĠNab": 34129, - "Ġgenomics": 34130, - "interaction": 34131, - "Ġsv": 34132, - "Ġinsecure": 34133, - "Ġlenders": 34134, - "Ġunlocking": 34135, - "Ġnegatives": 34136, - "ECK": 34137, - "technical": 34138, - "ĠSaxon": 34139, - "Ġpolish": 34140, - "Ġnums": 34141, - "Ġsheath": 34142, - "ĠOutline": 34143, - "folios": 34144, - "Depth": 34145, - "Ġtriglycerides": 34146, - "Ġendothelial": 34147, - "ilot": 34148, - "Ġflakes": 34149, - "Ġshepherd": 34150, - "Ġendings": 34151, - "Ġcandies": 34152, - "Ġnarrowed": 34153, - "Ġinsurmountable": 34154, - "ĠGaelic": 34155, - "ĠSimultaneously": 34156, - "configs": 34157, - "Ġfortifications": 34158, - "ĠTyler": 34159, - "ĠMechanisms": 34160, - "Ġanesthetic": 34161, - ",),": 34162, - "Ġsar": 34163, - "Ġgob": 34164, - "ĠAj": 34165, - "ĠCarson": 34166, - "Ġpreach": 34167, - "Ġregiments": 34168, - "according": 34169, - "ĠConfirm": 34170, - "Ġdownloads": 34171, - "Publisher": 34172, - "ĠTexts": 34173, - "Ġmonarchs": 34174, - "Ġsequestration": 34175, - ",))": 34176, - "Ha": 34177, - "slow": 34178, - "ĠVac": 34179, - "Ġadjoining": 34180, - "Ġresidency": 34181, - "ĠKnox": 34182, - "election": 34183, - "ä¾": 34184, - "ĠHert": 34185, - "Ġchor": 34186, - "Ġprovoked": 34187, - "Ġafterlife": 34188, - "gger": 34189, - "Ġcomposites": 34190, - "ĠCompanion": 34191, - "finished": 34192, - "Ġevacuated": 34193, - "Ġupgraded": 34194, - "Ġsabot": 34195, - "Aff": 34196, - "Scal": 34197, - "ĠACC": 34198, - "ĠVander": 34199, - "ĠLeh": 34200, - "olkien": 34201, - "Ġpornography": 34202, - "Ġkinship": 34203, - "Du": 34204, - "Ġflashing": 34205, - "ĠPeruvian": 34206, - "ĠInca": 34207, - "Ġrevolve": 34208, - "Ġregenerate": 34209, - "mis": 34210, - "ĠHess": 34211, - "ĠGul": 34212, - "appings": 34213, - "Story": 34214, - "Ġbadge": 34215, - "ĠOptical": 34216, - "(',": 34217, - "felt": 34218, - "Ġstigmat": 34219, - "Ġcomplicate": 34220, - "Ġcontests": 34221, - "Ġcols": 34222, - "interpret": 34223, - "Ġroofing": 34224, - "Species": 34225, - "squeeze": 34226, - "Ê»": 34227, - "heli": 34228, - "Ġreed": 34229, - "Ġ(@": 34230, - "unned": 34231, - "ansen": 34232, - "Ġcheckups": 34233, - "Ġvaluation": 34234, - "Assessment": 34235, - "aaS": 34236, - "ophilic": 34237, - "Important": 34238, - "Ġtumultuous": 34239, - "ectors": 34240, - "ĠGrab": 34241, - "Ġplasm": 34242, - "Ġkangar": 34243, - "rica": 34244, - "Ġpopularized": 34245, - "Plants": 34246, - "ĠTreasure": 34247, - "Formatter": 34248, - "Ġexceedingly": 34249, - "Queue": 34250, - "?).": 34251, - "lens": 34252, - "irin": 34253, - "Ġconclusive": 34254, - "Ġquake": 34255, - "Ġprototyping": 34256, - "ĠRecommendations": 34257, - "uitive": 34258, - "ĠBoolean": 34259, - "ASK": 34260, - "Ġarchipelago": 34261, - "Ġfragrance": 34262, - "ocyan": 34263, - "Ġconcurrently": 34264, - "idences": 34265, - "ĠAri": 34266, - "Ġprolet": 34267, - "ĠHouses": 34268, - "Ġcurtains": 34269, - "valued": 34270, - "classifier": 34271, - "Ġconcentrates": 34272, - "Ġsenators": 34273, - "Ġmarvelous": 34274, - "Directory": 34275, - "Ġmacrophages": 34276, - "MED": 34277, - "Sad": 34278, - "bie": 34279, - "Ġinlet": 34280, - "ersen": 34281, - "Ġoutgoing": 34282, - "rugu": 34283, - "ĠHeroes": 34284, - "Ġelemental": 34285, - "Ġclarified": 34286, - "embeddings": 34287, - "Ġrifles": 34288, - "Ġimplicitly": 34289, - "ifi": 34290, - "Ġtractor": 34291, - "ĠRescue": 34292, - "Ġliterate": 34293, - "Ġmelts": 34294, - "Ġpersuasion": 34295, - "Picture": 34296, - "YY": 34297, - "mese": 34298, - "tale": 34299, - "ĠFay": 34300, - "Ġquasi": 34301, - "Ġinteracted": 34302, - "rontal": 34303, - "seeking": 34304, - "Ġironic": 34305, - "burning": 34306, - "Ġconsolidate": 34307, - "ĠHansen": 34308, - "Ġelliptical": 34309, - "Rom": 34310, - "Vir": 34311, - "ĠTEST": 34312, - "ĠFetch": 34313, - "ĠLinn": 34314, - "ascal": 34315, - "increasing": 34316, - "pn": 34317, - "esta": 34318, - "Ġhumili": 34319, - "Ġchemists": 34320, - "ĠMarkets": 34321, - "Coord": 34322, - "Ġcuff": 34323, - "Ġwil": 34324, - "Ġpacing": 34325, - "ĠMixed": 34326, - "things": 34327, - "Ġovens": 34328, - "Ġsymbiotic": 34329, - "Ġpredisposition": 34330, - "lov": 34331, - "Äĥ": 34332, - "arya": 34333, - "ĠQR": 34334, - "Ġsubstituted": 34335, - "ĠPrepared": 34336, - "ĠMinneapolis": 34337, - "ĠStarted": 34338, - "Ġdecompose": 34339, - "ĠKuwait": 34340, - "ĠSahara": 34341, - "OFF": 34342, - "few": 34343, - "čĊĠĠĠĠĠ": 34344, - "itatively": 34345, - "Ġegal": 34346, - "Ġruth": 34347, - "ubon": 34348, - "Ġthroughput": 34349, - "Ġextremities": 34350, - "skilled": 34351, - "Ġpooling": 34352, - "Ġcovariance": 34353, - "ĠRecommended": 34354, - "Sure": 34355, - "ččĊĠĠĠĠĠĠĠĠ": 34356, - "among": 34357, - "ĠCitation": 34358, - "ĠDad": 34359, - "Ġclicks": 34360, - "iane": 34361, - "Ġslang": 34362, - "Optim": 34363, - "Ġaccreditation": 34364, - "âĢłâĢł": 34365, - "ĠProcedures": 34366, - "Ġpity": 34367, - "Alter": 34368, - "ĠStephan": 34369, - "Ġintegrative": 34370, - "Ġneutralize": 34371, - "Ġpearl": 34372, - "Fat": 34373, - "ĠACE": 34374, - "terminal": 34375, - "Ġshipwre": 34376, - "Ġvertebrate": 34377, - "ĠRatio": 34378, - "!'": 34379, - "Ġmoose": 34380, - "Ġpathogenesis": 34381, - "ĠJustin": 34382, - "Ġsequenced": 34383, - "Ġfilmmakers": 34384, - "sweet": 34385, - "Summer": 34386, - "laws": 34387, - "assembly": 34388, - "ĠPoles": 34389, - "Ġvested": 34390, - "ĠHamburg": 34391, - "Ġunlawful": 34392, - "Ġpolarity": 34393, - "Ġcrev": 34394, - "Ġidentifiers": 34395, - "Ġsymphony": 34396, - "contamination": 34397, - "Ġvisionary": 34398, - "Ġdehydrated": 34399, - "Ġmurders": 34400, - "Ġfollicles": 34401, - "inic": 34402, - "Ġlys": 34403, - "ulo": 34404, - "Ġanorexia": 34405, - "ĠThesis": 34406, - "Ġleopard": 34407, - "Ġkicking": 34408, - "Ġmedals": 34409, - "Ġzoos": 34410, - "ĠFlora": 34411, - "VIEW": 34412, - "ĠFemales": 34413, - "Missing": 34414, - "ĠMacedonia": 34415, - "Choosing": 34416, - "gather": 34417, - "ĠCNS": 34418, - "Ġdetained": 34419, - "assertEquals": 34420, - "ĠJesse": 34421, - "ADHD": 34422, - "Ġsubscribers": 34423, - "Ġcautiously": 34424, - "ĠFranç": 34425, - "ĠMozambique": 34426, - "cumin": 34427, - "horn": 34428, - "iatives": 34429, - "mys": 34430, - "Ġcages": 34431, - "Ġbou": 34432, - "ĠAsked": 34433, - "Agricult": 34434, - "Ġmarvels": 34435, - "Ġcongregations": 34436, - "ilo": 34437, - "Ġcanoe": 34438, - "ĠOceans": 34439, - "ashtra": 34440, - "Ġknitting": 34441, - "ĠNegot": 34442, - "Ġcmap": 34443, - "geons": 34444, - "Ġspouses": 34445, - "ĠKru": 34446, - "Ġbiking": 34447, - "Ġlocalization": 34448, - "Ġconstructor": 34449, - "Ġlieutenant": 34450, - "Ġtonight": 34451, - "ĠCalled": 34452, - "ĠAquarium": 34453, - "roviral": 34454, - "ĠNigerian": 34455, - "ĠAyurveda": 34456, - "vid": 34457, - "ilant": 34458, - "Ġgour": 34459, - "Ġtying": 34460, - "ĠRevenue": 34461, - "ELTS": 34462, - "heed": 34463, - "ĠInclusive": 34464, - "Ġdove": 34465, - "ĠPercent": 34466, - "ĠFrancisc": 34467, - "Ġlockdown": 34468, - "Ġwalnuts": 34469, - "ĠCertification": 34470, - "ĠChronicles": 34471, - "Ġtrumpet": 34472, - "aso": 34473, - "Ġnx": 34474, - "ĠMY": 34475, - "agree": 34476, - "ECH": 34477, - "Ġhomage": 34478, - "Ġcomplaining": 34479, - "Ġboredom": 34480, - "fm": 34481, - "got": 34482, - "mong": 34483, - "ĠOB": 34484, - "Ġmultilateral": 34485, - "Complete": 34486, - "Ġsynerg": 34487, - "Authent": 34488, - "scripts": 34489, - "Ġaerosols": 34490, - "Ġsubgenre": 34491, - "Ġstrenuous": 34492, - "Åĵ": 34493, - "ĠSue": 34494, - "Ġsyphilis": 34495, - "ĠAnth": 34496, - "NAS": 34497, - "ĠPractition": 34498, - "apiens": 34499, - "RCA": 34500, - "Ġarisen": 34501, - "Ing": 34502, - "ulla": 34503, - "Ġpsychosis": 34504, - "Artificial": 34505, - "Ġhalted": 34506, - "ĠFeminist": 34507, - "Ġcontingency": 34508, - "ĠHimalayas": 34509, - "dard": 34510, - "Ġcries": 34511, - "ceph": 34512, - "onset": 34513, - "ĠUnicode": 34514, - "Ġswamps": 34515, - "Ġurgently": 34516, - "ĠGenerated": 34517, - "ĠChilean": 34518, - "LM": 34519, - "fel": 34520, - "Ġwatered": 34521, - "Ġhors": 34522, - "oko": 34523, - "processors": 34524, - "Ġfranc": 34525, - "Ġcherries": 34526, - "ĠBuddhists": 34527, - "iwi": 34528, - "ĠGateway": 34529, - "ĠAmidst": 34530, - "Ġinbox": 34531, - "Ġ*,": 34532, - "Properties": 34533, - "ĠMcL": 34534, - "riendly": 34535, - "ка": 34536, - "inja": 34537, - "erical": 34538, - "ĠCAM": 34539, - "Ġimpede": 34540, - "ĠKom": 34541, - "ĠAlleg": 34542, - "Ġsteaming": 34543, - "Ġhourly": 34544, - "Ġmediator": 34545, - "Ġindulge": 34546, 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"Ġuncontroll": 34596, - "retched": 34597, - "Forest": 34598, - "kines": 34599, - "Ġwarrants": 34600, - "disabled": 34601, - "Ġprayed": 34602, - "Ġhorrific": 34603, - "templates": 34604, - "Ġlends": 34605, - "imaging": 34606, - "olip": 34607, - "plural": 34608, - "Ġabide": 34609, - "Ġroasting": 34610, - "Ġrecap": 34611, - "oki": 34612, - "heading": 34613, - "ĠPreserve": 34614, - "ĠEliot": 34615, - "ĠPOS": 34616, - "osteroids": 34617, - "ĠInform": 34618, - "ensory": 34619, - "Ġcoloration": 34620, - "unsaturated": 34621, - "Ġescalate": 34622, - "Ġcompanionship": 34623, - "scientists": 34624, - "âĻ": 34625, - "ĠIBS": 34626, - "ĠWorm": 34627, - "Ġsoaring": 34628, - "ĠStyles": 34629, - "Ġpostpartum": 34630, - "Ġfallacy": 34631, - "ĠParallel": 34632, - "Ġcasts": 34633, - "ĠDecide": 34634, - "ĠFeast": 34635, - "Ġcolourful": 34636, - "ĠBaghdad": 34637, - "elope": 34638, - "otives": 34639, - "ĠDATA": 34640, - "ĠMinisters": 34641, - "Ġsecretions": 34642, - "documents": 34643, - "ĠAlgorithm": 34644, - "sein": 34645, - "lyss": 34646, - "ocultural": 34647, - "Ġdiffraction": 34648, - "ihu": 34649, - "Ġlobbying": 34650, - "Ġredesign": 34651, - "gue": 34652, - "Ġreconnect": 34653, - "Ġphotoc": 34654, - "vertices": 34655, - "millan": 34656, - "Insert": 34657, - "Ġinterchangeably": 34658, - "Ġcourtyard": 34659, - "ocarbon": 34660, - "ĠRAF": 34661, - "Ġbiochemistry": 34662, - "ogenes": 34663, - "ĠDavies": 34664, - "ĠTrials": 34665, - "ĠPlanetary": 34666, - "ĠChapman": 34667, - "Sound": 34668, - "Ġ(%": 34669, - "ĠMask": 34670, - "ĠDum": 34671, - "Ġdiabetics": 34672, - "ĠWorlds": 34673, - "ylim": 34674, - "ĠGardner": 34675, - "ĠTurning": 34676, - "ĠBarnes": 34677, - "Ġenlargement": 34678, - "Ġmangrove": 34679, - "Ġbuys": 34680, - "Ġfullness": 34681, - "CLUD": 34682, - "Extract": 34683, - "Ġdowntime": 34684, - "Ġmiscarriage": 34685, - "Ġmall": 34686, - "ĠRSS": 34687, - "Ġperished": 34688, - "ĠRecreation": 34689, - "ringes": 34690, - "ĠSixth": 34691, - "Ġupp": 34692, - "Ġvortex": 34693, - "ĠDw": 34694, - "ĠUnknown": 34695, - "Ġattaches": 34696, - "Ġactivating": 34697, - "Death": 34698, - "Ġgarnered": 34699, - "young": 34700, - "Ġbenchmarks": 34701, - "ĠVegas": 34702, - "ĠCrick": 34703, - "Ġabort": 34704, - "minor": 34705, - "Ġcommentators": 34706, - "ĠRockefeller": 34707, - "Ġtelome": 34708, - "Ġbinoculars": 34709, - "?.": 34710, - "Ġsuction": 34711, - "ffff": 34712, - "ĠOrbit": 34713, - "ĠMayan": 34714, - "ĠCarp": 34715, - "Ġwarmed": 34716, - "Ġwaveform": 34717, - "Ġplugs": 34718, - "supervised": 34719, - "ĠPeterson": 34720, - "Ġpersecuted": 34721, - "bd": 34722, - "calls": 34723, - "gins": 34724, - "Ġpiqued": 34725, - "ĠAram": 34726, - "teaching": 34727, - "compl": 34728, - "Ġinflow": 34729, - "argmax": 34730, - "eger": 34731, - "ĠFunding": 34732, - "ĠGraphics": 34733, - "eroon": 34734, - "Ġcemeteries": 34735, - "Ġeternity": 34736, - "Ġalpine": 34737, - "Ġusability": 34738, - "Ġdisplace": 34739, - "ĠUnix": 34740, - "Ġfuller": 34741, - "Ġsheltered": 34742, - 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"Ġhesitation": 34794, - "formerly": 34795, - "ESCRIPT": 34796, - "otropic": 34797, - "aphylococcus": 34798, - "Ġunavoidable": 34799, - "Mount": 34800, - "ĠMusk": 34801, - "Ġprohibiting": 34802, - "Ġunfairly": 34803, - "Domain": 34804, - "Budd": 34805, - "Safe": 34806, - "tales": 34807, - "ĠCic": 34808, - "yson": 34809, - "ĠBlo": 34810, - "Soil": 34811, - "Ġcommentaries": 34812, - "Ġkiln": 34813, - "Ġgallbladder": 34814, - "ĠPubMed": 34815, - "Ġesteemed": 34816, - "%||": 34817, - "tis": 34818, - "reliance": 34819, - "ĠTribe": 34820, - "ĠCrist": 34821, - "Ġbiot": 34822, - "rolls": 34823, - "ĠSTAT": 34824, - "ĠEntom": 34825, - "ĠBast": 34826, - "ĠBris": 34827, - "ĠBottom": 34828, - "Ġspies": 34829, - "Ġplanner": 34830, - "Ġcontentious": 34831, - "ĠGlob": 34832, - "ĠDirective": 34833, - "Johnson": 34834, - "Ġpenetrating": 34835, - "Ġunfolded": 34836, - "Ġmaneuvers": 34837, - "Ġrenovation": 34838, - "GW": 34839, - "Material": 34840, - "×IJ": 34841, - "alted": 34842, - "ĠKurt": 34843, - "Ġhymn": 34844, - "RGB": 34845, - "ĠDru": 34846, - "Ġwillow": 34847, - "ĠIndus": 34848, - "ĠÎĶ": 34849, - "Ġabstinence": 34850, - "ĠCavalry": 34851, - "wrong": 34852, - "Ġrejo": 34853, - "ĠAWS": 34854, - "Ġincandescent": 34855, - "ĠJesuit": 34856, - "APH": 34857, - "feel": 34858, - "bellum": 34859, - "Ġgerminate": 34860, - "SOURCE": 34861, - "Ġgoggles": 34862, - "otus": 34863, - "ĠGlenn": 34864, - "handlers": 34865, - "travel": 34866, - "Ġfestivities": 34867, - "Ġparsing": 34868, - ">`": 34869, - "ĠFusion": 34870, - "Ġstrongh": 34871, - "ĠNeck": 34872, - "Ġexecutable": 34873, - "Ġjuxtap": 34874, - "ĠSmaller": 34875, - "Database": 34876, - "ĠSlavic": 34877, - "ÃŁ": 34878, - "ocin": 34879, - "ĠNLP": 34880, - "Ġprimate": 34881, - "Ġperformer": 34882, - "translation": 34883, - "ĠMastering": 34884, - "ĠâĨ©": 34885, - "Ġdew": 34886, - "ĠEmissions": 34887, - "Ġacknowledgement": 34888, - "Ġstewards": 34889, - "ĠHuntington": 34890, - "Expression": 34891, - "Advanced": 34892, - "ĠMild": 34893, - "Ġrequisite": 34894, - "Ġcystic": 34895, - "numbered": 34896, - "Ġpredictors": 34897, - "limits": 34898, - "ĠBelize": 34899, - "worthiness": 34900, - "propag": 34901, - "Ġtimedelta": 34902, - "ĠNeurology": 34903, - "ĠNashville": 34904, - "Ġrearrange": 34905, - "buck": 34906, - "Ġnymph": 34907, - "ĠTill": 34908, - "ibe": 34909, - "Ġremission": 34910, - "Ġcontraceptive": 34911, - "ophilia": 34912, - "Ġunderestimated": 34913, - "ĠLarger": 34914, - "Cas": 34915, - "Ġmailing": 34916, - "Ġdancer": 34917, - "ĠDob": 34918, - "ĠStef": 34919, - "Ġexplode": 34920, - "figsize": 34921, - "Ġcrispy": 34922, - "Ġdentures": 34923, - "Ġmildew": 34924, - "Ġbroadcasts": 34925, - "Ġpriesthood": 34926, - "Jones": 34927, - "culation": 34928, - "ĠIroqu": 34929, - "Ġrarity": 34930, - "Ġbrethren": 34931, - "Ġtrademarks": 34932, - "DUCT": 34933, - "TAG": 34934, - "romagnetic": 34935, - "ĠConsequences": 34936, - "ĠAssuming": 34937, - "ĠTracking": 34938, - "ĠLearned": 34939, - "Ġionic": 34940, - "Ġaggregates": 34941, - "ĠHaitian": 34942, - "Ġdissatisfaction": 34943, - "Ġartefacts": 34944, - "Ġundisturbed": 34945, - "Hon": 34946, - "bish": 34947, - "gm": 34948, - "ĠDuck": 34949, - "ĠNamed": 34950, - "iddish": 34951, - "ĠTeams": 34952, - "Ġinflated": 34953, - "ĠSignificant": 34954, - "ĠHarvest": 34955, - "ĠFluid": 34956, - "Ġfingerprints": 34957, - "Fill": 34958, - "ivary": 34959, - "Ġlocking": 34960, - "Ġmagnification": 34961, - "Ġpetrol": 34962, - "Ġsynonym": 34963, - "Ġwarranty": 34964, - "Ġexhilar": 34965, - "ع": 34966, - "Ġslug": 34967, - "ellate": 34968, - "Ġinfrast": 34969, - "Ġhernia": 34970, - "Ġolds": 34971, - "ĠBiom": 34972, - "Ġbiofuel": 34973, - "ĠEstonia": 34974, - "Ġtragedies": 34975, - "belt": 34976, - "dan": 34977, - "æŃ": 34978, - "ieving": 34979, - "Ġunnatural": 34980, - "ĠAsians": 34981, - "Ġbrisk": 34982, - "ĠEmotions": 34983, - "Ġrefriger": 34984, - "nos": 34985, - "islation": 34986, - "ĠSets": 34987, - "Ġsparking": 34988, - "Ġdefendants": 34989, - "ĠFurn": 34990, - "ĠFIG": 34991, - "Ġinterruption": 34992, - "Ġterminate": 34993, - "Ġrevive": 34994, - "Ġpolyps": 34995, - "ĠSymposium": 34996, - "ĠScandinavia": 34997, - "Ġhatching": 34998, - "Ġafflict": 34999, - "Ġreacted": 35000, - "Ġ_____": 35001, - "Ġpropensity": 35002, - "ĠSchne": 35003, - "Urban": 35004, - "/?": 35005, - "Ġnylon": 35006, - "Ġiterate": 35007, - "Ġsued": 35008, - "ĠDelivery": 35009, - "ĠTeh": 35010, - "Ġvisualizations": 35011, - "Ġhandsome": 35012, - "Diabetes": 35013, - "Ġmetaphorical": 35014, - "Ġlexical": 35015, - "æ³": 35016, - "revision": 35017, - "Ġpessim": 35018, - "administ": 35019, - "Ġatrial": 35020, - "Ġdistortions": 35021, - "Ġnovelist": 35022, - "ĠPatricia": 35023, - "Ġsqlalchemy": 35024, - "Ġsyndromes": 35025, - "Dry": 35026, - "Winter": 35027, - "ĠGang": 35028, - "cling": 35029, - "olla": 35030, - "ITION": 35031, - "Ġloader": 35032, - "Ġapology": 35033, - "ĠLiberia": 35034, - "Ġcompensated": 35035, - "ĠTasmania": 35036, - "GN": 35037, - "vt": 35038, - "Ġgenerously": 35039, - "();": 35040, - "Ġelapsed": 35041, - "Ġparrot": 35042, - "starting": 35043, - "Aqu": 35044, - "Ġaortic": 35045, - "Ġtrivia": 35046, - "Ġdont": 35047, - "manual": 35048, - "Ġbehaving": 35049, - "arianism": 35050, - "located": 35051, - "occurring": 35052, - "Ġvapour": 35053, - "daughter": 35054, - "robe": 35055, - "ĠIEP": 35056, - "ĠPreviously": 35057, - "rosive": 35058, - "ĠJudith": 35059, - "Flag": 35060, - "ĠAhmad": 35061, - "Ġthermostat": 35062, - "Ġreintrodu": 35063, - "Ġexits": 35064, - "Ġawakening": 35065, - "ĠGenealog": 35066, - "ĠPentecost": 35067, - "Corn": 35068, - "oliberal": 35069, - "odian": 35070, - "andum": 35071, - "orta": 35072, - "ĠReasons": 35073, - "guid": 35074, - "ĠKumar": 35075, - "sight": 35076, - "uities": 35077, - "Ġthwart": 35078, - "Ġtrailing": 35079, - "ĠMyers": 35080, - "ĠJulie": 35081, - "Component": 35082, - "lp": 35083, - "Ġpenguin": 35084, - "clim": 35085, - "ĠCompliance": 35086, - "Ġshortening": 35087, - "keyword": 35088, - "Ġdealer": 35089, - "म": 35090, - "ĠEmbed": 35091, - "Explanation": 35092, - "Ġdemolition": 35093, - "æĪIJ": 35094, - "ĠBreathing": 35095, - "ĠAutonomous": 35096, - "Dear": 35097, - "icist": 35098, - "idium": 35099, - "ĠMg": 35100, - "queeze": 35101, - "Ġworldly": 35102, - "rigation": 35103, - "Ġvoila": 35104, - "Ġsavvy": 35105, - "Ġplatelets": 35106, - "efficacy": 35107, - "Ġresorting": 35108, - "heartedly": 35109, - "Ġconsonants": 35110, - "Ġmattress": 35111, - "Emp": 35112, - "Mu": 35113, - "Ġmuff": 35114, - "Ġamber": 35115, - "Ġcharities": 35116, - "ĠDebt": 35117, - "Ġbrood": 35118, - "ĠDriving": 35119, - "Ġselects": 35120, - "specified": 35121, - "Ġconvened": 35122, - "-----------------------------": 35123, - "ĠPublisher": 35124, - "Ġnostalgia": 35125, - "hub": 35126, - "Ġunpaid": 35127, - "Ġsituational": 35128, - "Ġflooring": 35129, - "ãĥ¼": 35130, - "Ġasynchronous": 35131, - "âĨĴ": 35132, - "ĠFerguson": 35133, - "Ġmuddy": 35134, - "ĠMAR": 35135, - "ĠPiet": 35136, - "ĠTheme": 35137, - "ĠWR": 35138, 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41669, - "Sci": 41670, - "çIJ": 41671, - "atonic": 41672, - "antage": 41673, - "ĠGift": 41674, - "awatt": 41675, - "Ġbranched": 41676, - "Ġmultiv": 41677, - "ĠChev": 41678, - "ãģĦ": 41679, - "erenced": 41680, - "Ġcannons": 41681, - "Ġvagu": 41682, - "('.//": 41683, - "Ġpears": 41684, - "Ġextermination": 41685, - "ĠBRCA": 41686, - "ĠDive": 41687, - "ĠOA": 41688, - "Ġwills": 41689, - "composition": 41690, - "Ġdelights": 41691, - "Ġlandowner": 41692, - "coe": 41693, - "Ġprobation": 41694, - "ĠFloor": 41695, - "Ġmounts": 41696, - "ĠJournalism": 41697, - "Ġsweetener": 41698, - "ĠAdvice": 41699, - "Edward": 41700, - "ocytic": 41701, - "Ġcommissioners": 41702, - "ozo": 41703, - "Identifying": 41704, - "Ġgorilla": 41705, - "Wrap": 41706, - "unken": 41707, - "Ġwiden": 41708, - "ETA": 41709, - "ĠBrett": 41710, - "ĠErrors": 41711, - "Axis": 41712, - "Ġoo": 41713, - "icile": 41714, - "Ġejected": 41715, - "Ġstitching": 41716, - "ĠSail": 41717, - "ĠCoding": 41718, - "ipur": 41719, - "ĠKell": 41720, 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42901, - "Ġcharacterizes": 42902, - "ĠInstant": 42903, - "ĠContributions": 42904, - "Ġauditing": 42905, - "validator": 42906, - "Äģr": 42907, - "ĠStonehenge": 42908, - "Ġculprits": 42909, - "Ġunderscored": 42910, - "Ġexoplanets": 42911, - "ä¾ĭ": 42912, - "Ġdefinitively": 42913, - "Pip": 42914, - "creating": 42915, - "tze": 42916, - "ĠDSL": 42917, - "Ġsmelling": 42918, - "Ġgrader": 42919, - "ĠResidents": 42920, - "ĠEmory": 42921, - "Ġdeadliest": 42922, - "Ġdiameters": 42923, - "ĠNicolas": 42924, - "Marine": 42925, - "oglobulin": 42926, - "ĠBalkan": 42927, - "arcinoma": 42928, - "ĠPfizer": 42929, - "Ġdystopian": 42930, - ")âĢĿ": 42931, - "chal": 42932, - "actyl": 42933, - "Ġ\",\"": 42934, - "Ġliteratures": 42935, - "Ġnetworked": 42936, - "district": 42937, - "ĠAuthorities": 42938, - "ĠSeparation": 42939, - "MainWindow": 42940, - "ĠKathleen": 42941, - "Presentation": 42942, - "accharide": 42943, - "ĠLisbon": 42944, - "Ġgiraffes": 42945, - "ĠAsperger": 42946, - "ĠFranciscan": 42947, - 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"emptive": 43191, - "steroidal": 43192, - "Ġsearchable": 43193, - "\"]))": 43194, - "Ġdecrees": 43195, - "ĠISP": 43196, - "Ġacknowledgment": 43197, - "Ġadhesives": 43198, - "ĠRudolf": 43199, - "healing": 43200, - "roi": 43201, - "ĠPep": 43202, - "ĠPneum": 43203, - "umina": 43204, - "ĠJL": 43205, - "Ġinvitations": 43206, - "Ġinterdependent": 43207, - "Ġcurtail": 43208, - "shoot": 43209, - "Ġbiopsies": 43210, - "ĠSuitable": 43211, - "STEP": 43212, - "Reason": 43213, - "Ġnarrated": 43214, - "ĠDubai": 43215, - "Ġpauses": 43216, - "Electronic": 43217, - "ĠSequential": 43218, - "Ġsemiconductors": 43219, - "Ġcancellation": 43220, - "ĠStephanie": 43221, - "æµ": 43222, - "erville": 43223, - "ĠUnified": 43224, - "Ġextinctions": 43225, - "Ġcurricular": 43226, - "Ġtreasured": 43227, - "Ġchoke": 43228, - "Ġwelded": 43229, - "ĠDalai": 43230, - "Ġdeformities": 43231, - "Bound": 43232, - "junct": 43233, - "vitamin": 43234, - "Ġsul": 43235, - "league": 43236, - "ĠWonders": 43237, - "ĠFau": 43238, - 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43488, - "Veget": 43489, - "Lily": 43490, - "Ġinclusions": 43491, - "ĠMae": 43492, - "Ġcontends": 43493, - "Ġacclaim": 43494, - "Ġglomer": 43495, - "Ġcaptives": 43496, - "ĠTwentieth": 43497, - "Ġpropane": 43498, - "ĠIrrigation": 43499, - "Ġadmirable": 43500, - "Ġoutlawed": 43501, - "ĠTrying": 43502, - "EXP": 43503, - "ĠLEED": 43504, - "Ġinauguration": 43505, - "Ġencroachment": 43506, - "Actions": 43507, - "pans": 43508, - "|\\": 43509, - "Ġtbsp": 43510, - "Ġpym": 43511, - "Ġpudding": 43512, - "Ġtoggle": 43513, - "entanyl": 43514, - "ĠTYPE": 43515, - "Ġchocol": 43516, - "ĠStages": 43517, - "cystic": 43518, - "Ġconcave": 43519, - "ĠAsset": 43520, - "Ġliquef": 43521, - "ĠConnected": 43522, - "Ġrabbi": 43523, - "Ġdeterministic": 43524, - "routine": 43525, - "-.": 43526, - "aeda": 43527, - "cong": 43528, - "policies": 43529, - "ÙĤ": 43530, - "icher": 43531, - "Ġ(_": 43532, - "ectoral": 43533, - "ĠThur": 43534, - "undo": 43535, - "ecology": 43536, - "Ġdrunken": 43537, - "='/": 43538, - 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"Ġchina": 43636, - "ĠJab": 43637, - "sofar": 43638, - "Ġscrib": 43639, - "inkling": 43640, - "ĠLeast": 43641, - "Ġgeospatial": 43642, - "ĠTransparency": 43643, - "scheme": 43644, - "hythmia": 43645, - "ĠHodg": 43646, - "ubilee": 43647, - "dwell": 43648, - "ticks": 43649, - "inatal": 43650, - "Ġhare": 43651, - "Ġpoke": 43652, - "ĠQin": 43653, - "``,": 43654, - "ĠSchema": 43655, - "ĠEditing": 43656, - "ukes": 43657, - "ĠDeficit": 43658, - "ĠGreenpeace": 43659, - "ĠOutreach": 43660, - "Ġwithdrawing": 43661, - "า": 43662, - "Ġfisherman": 43663, - "ĠBrainstorm": 43664, - "Ġamputation": 43665, - "vian": 43666, - "want": 43667, - "atype": 43668, - "itizing": 43669, - "Ġinp": 43670, - "Ġeaves": 43671, - "ĠFC": 43672, - "ĠNina": 43673, - "Ġsocialize": 43674, - "ĠGuam": 43675, - "omyc": 43676, - "aturity": 43677, - "HOME": 43678, - "Browse": 43679, - "ĠAcknowledge": 43680, - "Pakistan": 43681, - "aer": 43682, - "dq": 43683, - "aturing": 43684, - "emaker": 43685, - "ĠDense": 43686, - "Ġshuff": 43687, - "Ġmegal": 43688, - "pregn": 43689, - "ĠGenomics": 43690, - "Ġannum": 43691, - "ĠVirgil": 43692, - "smooth": 43693, - "existence": 43694, - "ĠSandra": 43695, - "ĠSeparate": 43696, - "ĠLayers": 43697, - "ĠEDT": 43698, - "Ġprotoz": 43699, - "IAN": 43700, - "bh": 43701, - "ÄŁ": 43702, - "Ġhr": 43703, - "utans": 43704, - "opies": 43705, - "Ġrgb": 43706, - "ĠOkin": 43707, - "Ġkinetics": 43708, - "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 43709, - "ylan": 43710, - "Ġknob": 43711, - "Ġoxidized": 43712, - "Speech": 43713, - "Json": 43714, - "fri": 43715, - "Ġbucks": 43716, - "Ġeel": 43717, - "ĠPJ": 43718, - "ĠDRC": 43719, - "ĠNim": 43720, - "tershire": 43721, - "Ġcutters": 43722, - "Ġexcelled": 43723, - "Ġoscillation": 43724, - "Ġreferees": 43725, - "ĠConfucius": 43726, - "leet": 43727, - "olks": 43728, - "ĠBSD": 43729, - "Ġadmon": 43730, - "Ġcommens": 43731, - "Ġuphill": 43732, - "Ġdecel": 43733, - "ĠAlien": 43734, - "ophytes": 43735, - "Ġnoticeably": 43736, - "significant": 43737, - "ĠMacedonian": 43738, - "Wilson": 43739, - "atosis": 43740, - "ĠSERV": 43741, - "ĠCoh": 43742, - "ĠWalls": 43743, - "itext": 43744, - "Ġexponents": 43745, - "ĠEngl": 43746, - "Ġsentimental": 43747, - "ĠPepper": 43748, - "ĠMarin": 43749, - "ĠMissile": 43750, - "Emily": 43751, - "ĠProduce": 43752, - "Ġfen": 43753, - "amber": 43754, - "abets": 43755, - "ĠLus": 43756, - "ellites": 43757, - "iphy": 43758, - "ĠJoa": 43759, - "ovina": 43760, - "Ġgliding": 43761, - "Ġqualifies": 43762, - "Cola": 43763, - "apiro": 43764, - "ĠMartinez": 43765, - "rusions": 43766, - "ĠHyder": 43767, - "Ġfingern": 43768, - "judice": 43769, - "ĠCoordination": 43770, - "ĠAnatolia": 43771, - "Ġladen": 43772, - "Ġwitty": 43773, - "æŀľ": 43774, - "esarean": 43775, - "kon": 43776, - "Ġoracle": 43777, - "strict": 43778, - "ĠCannabis": 43779, - "Ġrang": 43780, - "Ġshunt": 43781, - "lightly": 43782, - "Ġdieting": 43783, - "čĊĉĉĉĉ": 43784, - "âĢ¦..": 43785, - "Shift": 43786, - "ĠSchwarz": 43787, - "[::-": 43788, - "olyb": 43789, - "Ġcontradicts": 43790, - "Ġinhaling": 43791, - "ĠAssyria": 43792, - "Ġeigenvalues": 43793, - "Ġparaphrase": 43794, - "Ġopposites": 43795, - "cens": 43796, - "Ġsaga": 43797, - "ĠMolly": 43798, - "ĠHLA": 43799, - "Ġsubterranean": 43800, - "Ġreprogram": 43801, - "ĠShaping": 43802, - "Ġpathologist": 43803, - "ĠAfterwards": 43804, - "Ġpalae": 43805, - "Ġscripting": 43806, - "ĠAccom": 43807, - "Ġskeptics": 43808, - "Ġvacations": 43809, - "Ġblindly": 43810, - "aternary": 43811, - "ĠCosmic": 43812, - "Ġcrickets": 43813, - "Ġpolyphenols": 43814, - "Ġhilarious": 43815, - "tus": 43816, - "combe": 43817, - "Ġsubdivision": 43818, - "ĠHeating": 43819, - "Ġdepress": 43820, - "measured": 43821, - "ROP": 43822, - "Ġscriptural": 43823, - "ĠInstructional": 43824, - "Ġauspices": 43825, - "Ġartisanal": 43826, - "ĠCarpenter": 43827, - "æ¨": 43828, - "ĠCSI": 43829, - "ĠMate": 43830, - "acio": 43831, - "athy": 43832, - "ĠAnticip": 43833, - "ĠMetals": 43834, - "Constant": 43835, - "Ġescalation": 43836, - "Creative": 43837, - "Ġacquaintances": 43838, - "Ġemanating": 43839, - "Ġfuselage": 43840, - "Msg": 43841, - "Ġabbey": 43842, - "igning": 43843, - "Ġhermit": 43844, - "encycl": 43845, - "Ġsimplex": 43846, - "contour": 43847, - "ĠSuf": 43848, - "ĠPhDs": 43849, - "ĠHammer": 43850, - "ĠWoodrow": 43851, - "Ġmirroring": 43852, - "ĠMagnet": 43853, - "ĠPregnant": 43854, - "Ġhummingbirds": 43855, - "å¼ı": 43856, - "Ġstronghold": 43857, - "MetaInfoClass": 43858, - "GPS": 43859, - "preprocessing": 43860, - "Ġmodernism": 43861, - "ONS": 43862, - "Ġseparator": 43863, - "ĠMetabolic": 43864, - "masters": 43865, - "Ġhorsepower": 43866, - "Ġyeasts": 43867, - "Ġlobster": 43868, - "ĠSusp": 43869, - "ĠAutomated": 43870, - "Ġinpatient": 43871, - "Ġclassed": 43872, - "Ġrestitution": 43873, - "sphere": 43874, - "=\"<": 43875, - "Ġdatas": 43876, - "ĠGuards": 43877, - "ALT": 43878, - "Ġsnout": 43879, - "Received": 43880, - "ĠVoltage": 43881, - "Plastic": 43882, - "Ġgunpowder": 43883, - "ĠPlacement": 43884, - "Ġsplint": 43885, - "sentences": 43886, - "ĠDimensions": 43887, - "Ġdoctrinal": 43888, - "Gram": 43889, - "pies": 43890, - "Intrigued": 43891, - "Ġunsur": 43892, - "twentieth": 43893, - "GRAPH": 43894, - "Operations": 43895, - "ounsaturated": 43896, - "Ġamphibious": 43897, - "ĠVolcano": 43898, - "Ġinconvenient": 43899, - ">\")": 43900, - "fee": 43901, - "ĠčĊĉ": 43902, - "Ġpane": 43903, - "ĠTran": 43904, - "chdir": 43905, - "Ġbegging": 43906, - "),(": 43907, - "Ġpsychotic": 43908, - "Ġtreehouse": 43909, - "Ġwaits": 43910, - "ĠSyracuse": 43911, - "Ġauthentically": 43912, - "Ġbreeder": 43913, - "ĠCasey": 43914, - "ĠCrimes": 43915, - "Ġpadded": 43916, - "Ġwipes": 43917, - "ĠLivestock": 43918, - "ĠSamsung": 43919, - "BooleanField": 43920, - "Ġtouted": 43921, - "SUM": 43922, - "chet": 43923, - "arie": 43924, - "irvana": 43925, - "ĠCBC": 43926, - "ĠPRI": 43927, - "ĠLIB": 43928, - "Ġdecrypt": 43929, - "Ġannals": 43930, - "Ġmotherboard": 43931, - "Ġbuoyancy": 43932, - "Ġconjunctivitis": 43933, 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"agas": 43983, - "ardia": 43984, - "ignon": 43985, - "Changed": 43986, - "])]": 43987, - "vantage": 43988, - "Ġcollars": 43989, - "Ġconverters": 43990, - "Ġsegmented": 43991, - "ĠOccur": 43992, - "ĠInteresting": 43993, - "Ġfarewell": 43994, - "Ġlevied": 43995, - "uckingham": 43996, - "Ġattenuation": 43997, - "Release": 43998, - "SCH": 43999, - "tank": 44000, - "Ġinexperienced": 44001, - "ĠTL": 44002, - "utility": 44003, - "chio": 44004, - "chairs": 44005, - "ĠRSA": 44006, - "endium": 44007, - "apis": 44008, - "ussel": 44009, - "myth": 44010, - "Ġstepper": 44011, - "logged": 44012, - "patrick": 44013, - "adoop": 44014, - "Ġthinly": 44015, - "Ġepidermis": 44016, - "Manufact": 44017, - "ugger": 44018, - "Ġionizing": 44019, - "Ġcautioned": 44020, - "Ġmobilized": 44021, - "ĠHartford": 44022, - "ĠPunishment": 44023, - "dependency": 44024, - "ĠWinnipeg": 44025, - "Ġovereating": 44026, - "Ġdiastolic": 44027, - "Saving": 44028, - "bash": 44029, - "Ġcomed": 44030, - "ĠWrap": 44031, - 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"Ġarrogance": 44676, - "fresh": 44677, - "kid": 44678, - "ĠROM": 44679, - "ĠKick": 44680, - "ossils": 44681, - "autiful": 44682, - "Immun": 44683, - "iosync": 44684, - "Greater": 44685, - "ĠMussolini": 44686, - "gif": 44687, - "jk": 44688, - "Ġmasc": 44689, - "imuth": 44690, - "ĠDEF": 44691, - "ĠGom": 44692, - "actually": 44693, - "ĠJW": 44694, - "concent": 44695, - "cyst": 44696, - "Ġconstrued": 44697, - "Ġtopological": 44698, - "ĠUpdates": 44699, - "missible": 44700, - "ร": 44701, - "Ġvaricose": 44702, - "JC": 44703, - "cgi": 44704, - "Ġcic": 44705, - "Ġnipple": 44706, - "oders": 44707, - "ĠMPs": 44708, - "thor": 44709, - "ĠNairobi": 44710, - "Ġpresided": 44711, - "Ġdecou": 44712, - "Ġcarbox": 44713, - "Ġassociating": 44714, - "Ġspaceflight": 44715, - "ĠAllison": 44716, - "Ġstreak": 44717, - "ĠHolocene": 44718, - "Ġattractiveness": 44719, - "ĠMatthews": 44720, - "Enable": 44721, - "Ġcriticizing": 44722, - "successfully": 44723, - "OUTPUT": 44724, - "Ġmyelin": 44725, - "Evaluation": 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-[2026-09-25 10:18:05,280][numexpr.utils][INFO] - Note: NumExpr detected 24 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8. -[2026-09-25 10:18:05,280][numexpr.utils][INFO] - NumExpr defaulting to 8 threads. -[2026-09-25 10:18:07,971][datasets][INFO] - PyTorch version 2.2.2 available. -[2026-09-25 10:18:07,971][datasets][INFO] - TensorFlow version 2.15.1 available. -[2026-09-25 10:18:07,972][datasets][INFO] - JAX version 0.4.30 available. -[2026-09-25 10:18:16,810][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:18:31,043][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:18:37,279][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmpnwql76qr/test.c -o /tmp/tmpnwql76qr/test.o -[2026-09-25 10:18:37,356][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmpnwql76qr/test.o -laio -o /tmp/tmpnwql76qr/a.out -[2026-09-25 10:18:38,256][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmp_uf_6lwo/test.c -o /tmp/tmp_uf_6lwo/test.o -[2026-09-25 10:18:38,333][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmp_uf_6lwo/test.o -L/usr/local/cuda -L/usr/local/cuda/lib64 -lcufile -o /tmp/tmp_uf_6lwo/a.out diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/debug-internal.log 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'packing': False, 'max_seq_length': 100, 'dataset_num_proc': None, 'dataset_batch_size': 1000, 'model_init_kwargs': None, 'dataset_kwargs': {}, 'eval_packing': None, 'num_of_sequences': 1024, 'chars_per_token': '', 'use_liger': False, 'joint_obs_action_mlp_lr': 0.0001, 'obs_mlp_lr': None, 'action_mlp_lr': None} -2026-09-25 10:18:48,821 INFO MainThread:2436216 [wandb_config.py:__setitem__():154] config set model/num_parameters = 134855424 - > -2026-09-25 10:18:48,821 INFO MainThread:2436216 [wandb_run.py:_config_callback():1389] config_cb model/num_parameters 134855424 None -2026-09-25 11:47:54,757 INFO MainThread:2436216 [wandb_run.py:_finish():2146] finishing run b10902069-national-taiwan-university/llm_module_finetuning/igdu8mgl -2026-09-25 11:47:54,757 INFO MainThread:2436216 [wandb_run.py:_atexit_cleanup():2414] got exitcode: 0 -2026-09-25 11:47:54,757 INFO MainThread:2436216 [wandb_run.py:_restore():2396] restore -2026-09-25 11:47:54,757 INFO MainThread:2436216 [wandb_run.py:_restore():2402] restore done -2026-09-25 11:48:01,116 INFO MainThread:2436216 [wandb_run.py:_footer_history_summary_info():3963] rendering history -2026-09-25 11:48:01,117 INFO MainThread:2436216 [wandb_run.py:_footer_history_summary_info():3995] rendering summary -2026-09-25 11:48:01,120 INFO MainThread:2436216 [wandb_run.py:_footer_sync_info():3922] logging synced files diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/config.yaml b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/config.yaml deleted file mode 100644 index b3ac47ad9a77c55011703b9f3b5ee0a96d3d62ff..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/config.yaml +++ /dev/null @@ -1,713 +0,0 @@ -_attn_implementation_autoset: - value: true -_name_or_path: - value: HuggingFaceTB/SmolLM2-135M-Instruct -_target_: - value: 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value: HuggingFaceTB/SmolLM2-135M-Instruct -model_type: - value: llama_lowdim -mp_parameters: - value: "" -multi_run: - value: - run_dir: data/outputs/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2 - wandb_name_base: 2026.09.25-10.18.04_train_llm_lowdim_box-close-v2 -n_action_steps: - value: 1 -n_obs_steps: - value: 1 -name: - value: train_llm_lowdim -neftune_noise_alpha: - value: null -no_cuda: - value: false -no_repeat_ngram_size: - value: 0 -num_attention_heads: - value: 9 -num_beam_groups: - value: 1 -num_beams: - value: 1 -num_hidden_layers: - value: 30 -num_key_value_heads: - value: 3 -num_of_sequences: - value: 1024 -num_return_sequences: - value: 1 -num_train_epochs: - value: 10 -obs_dim: - value: 9 -obs_mlp_lr: - value: null -optim: - value: paged_adamw_32bit -optim_args: - value: null -optim_target_modules: - value: null -output_attentions: - value: false -output_dir: - value: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2 -output_hidden_states: - value: false -output_scores: - value: false -overwrite_output_dir: - value: false -packing: - value: false -pad_token_id: - value: 2 -past_index: - value: -1 -per_device_eval_batch_size: - value: 128 -per_device_train_batch_size: - value: 128 -per_gpu_eval_batch_size: - value: null -per_gpu_train_batch_size: - value: null -prediction_loss_only: - value: false -prefix: - value: null -pretraining_tp: - value: 1 -problem_type: - value: null -push_to_hub: - value: false -push_to_hub_model_id: - value: null -push_to_hub_organization: - value: null -push_to_hub_token: - value: -ray_scope: - value: last -remove_invalid_values: - value: false -remove_unused_columns: - value: true -repetition_penalty: - value: 1 -report_to: - value: - - wandb -restore_callback_states_from_checkpoint: - value: false -resume_from_checkpoint: - value: null -return_dict: - value: true -return_dict_in_generate: - value: false -rms_norm_eps: - value: 1e-05 -rope_interleaved: - value: false -rope_scaling: - value: null -rope_theta: - value: 100000 -run_name: - value: /tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/HuggingFaceTB/SmolLM2-135M-Instruct-finetuned-box-close-v2 -save_on_each_node: - value: false -save_only_model: - value: false -save_safetensors: - value: true -save_steps: - value: 5000 -save_strategy: - value: steps -save_total_limit: - value: null -seed: - value: 42 -sep_token_id: - value: null -skip_memory_metrics: - value: true -split_batches: - value: null -suppress_tokens: - value: null -task: - value: - action_dim: 4 - dataset: - _target_: llmbc.dataset.metaworld_lowdim_dataset.MetaworldLowdimDataset - data_path: datasets/box-close-v2-general-expsplit0.02-manual-expert-only.pt - data_path2: datasets/box-close-v2-split0.02.pt - dummy_normalizer: true - horizon: 1 - obs_eef_target: true - pad_after: 0 - pad_before: 0 - use_manual_normalizer: false - val_ratio: 0.05 - env_runner: - _target_: llmbc.env_runner.metaworld_lowdim_runner.MetaworldLowdimRunner - discount: 0.9 - env_name: llf-metaworld-box-close-v2 - feedback_type: - - hp - - hn - - fp - instruction_type: b - max_steps: 30 - n_action_steps: 1 - n_envs: 10 - n_obs_steps: 1 - n_test: 50 - n_train: 10 - visual: false - instructor: - _target_: llmbc.translator.instructor.metaworld_instructor.box_close_v2_instructor.BoxCloseV2Instructor - name: box-close-v2 - obs_dim: 9 -task_name: - value: box-close-v2 -task_specific_params: - value: null -temperature: - value: 1 -tf_legacy_loss: - value: false -tf32: - value: true -tie_encoder_decoder: - value: false -tie_word_embeddings: - value: true -tokenizer_class: - value: null -top_k: - value: 50 -top_p: - value: 1 -torch_compile: - value: false -torch_compile_backend: - value: null -torch_compile_mode: - value: null -torch_dtype: - value: bfloat16 -torch_empty_cache_steps: - value: null -torchdynamo: - value: null -torchscript: - value: false -tpu_metrics_debug: - value: false -tpu_num_cores: - value: null -trainer: - value: - action_dim: 4 - dataset_text_field: text - max_seq_length: 100 - obs_dim: 9 - packing: false - use_joint_mlp_projector: true -training: - value: - bf16: true - eval_steps: 10 - eval_strategy: steps - fp16: false - gradient_accumulation_steps: 1 - group_by_length: true - joint_obs_action_mlp_lr: 0.0001 - learning_rate: 0.0001 - logging_steps: 1 - logging_strategy: steps - num_train_epochs: 10 - optim: paged_adamw_32bit - per_device_eval_batch_size: 128 - per_device_train_batch_size: 128 - report_to: wandb - save_steps: 5000 - seed: 42 - tf32: true - use_joint_mlp_projector: true - warmup_steps: 10 -transformers.js_config: - value: - kv_cache_dtype: - fp16: float16 - q4f16: float16 -transformers_version: - value: 4.47.1 -typical_p: - value: 1 -use_bfloat16: - value: false -use_cache: - value: false -use_cpu: - value: false -use_ipex: - value: false -use_joint_mlp_projector: - value: true -use_legacy_prediction_loop: - value: false -use_liger: - value: false -use_liger_kernel: - value: false -use_mps_device: - value: false -use_quantization: - value: false -vocab_size: - value: 49152 -warmup_ratio: - value: 0 -warmup_steps: - value: 10 -weight_decay: - value: 0 diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/output.log b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/output.log deleted file mode 100644 index aaff2ff16845327c09ab5511ea6fefe384c8bf9d..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/output.log +++ /dev/null @@ -1,7282 +0,0 @@ -You are using a model of type llama to instantiate a model of type llama_lowdim. This is not supported for all configurations of models and can yield errors. -Some weights of LowdimLlamaForCausalLM were not initialized from the model checkpoint at HuggingFaceTB/SmolLM2-135M-Instruct and are newly initialized: ['model.joint_obs_action_projector.projector.0.bias', 'model.joint_obs_action_projector.projector.0.weight', 'model.joint_obs_action_projector.projector.2.bias', 'model.joint_obs_action_projector.projector.2.weight'] -You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference. -Loading from mlp projector checkpoint: data/outputs/2026.09.24/17.14.58_train_mlp_projector_box-close-v2/checkpoints/latest.ckpt -Finetune the whole original LLM SmolLM2-135M-Instruct. -Multistep Flattening Dataset: 100%|███████████████████████████████████████████████████████████| 71915/71915 [00:03<00:00, 20922.28it/s] -Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:18:16,810][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -Map (num_proc=4): 100%|█████████████████████████████████████████████████████████████████| 71915/71915 [00:12<00:00, 5982.64 examples/s] -Setting TOKENIZERS_PARALLELISM=false for forked processes. -[2026-09-25 10:18:31,043][datasets.arrow_dataset][WARNING] - Setting TOKENIZERS_PARALLELISM=false for forked processes. -Map (num_proc=4): 100%|████████████████████████████████████████████████████████████████| 71915/71915 [00:05<00:00, 12685.75 examples/s] -DatasetDict({ - train: Dataset({ - features: ['obs', 'action', 'description', 'input', 'output', 'text', 'input_ids', 'labels'], - num_rows: 71195 - }) - test: Dataset({ - features: ['obs', 'action', 'description', 'input', 'output', 'text', 'input_ids', 'labels'], - num_rows: 720 - }) -}) -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/huggingface_hub/utils/_deprecation.py:100: FutureWarning: Deprecated argument(s) used in '__init__': max_seq_length, dataset_text_field. Will not be supported from version '1.0.0'. - -Deprecated positional argument(s) used in SFTTrainer, please use the SFTConfig to set these arguments instead. - warnings.warn(message, FutureWarning) -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:283: UserWarning: You passed a `max_seq_length` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`. - warnings.warn( -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:321: UserWarning: You passed a `dataset_text_field` argument to the SFTTrainer, the value you passed will override the one in the `SFTConfig`. - warnings.warn( -/home/chyang/miniconda3/envs/llm-bc/lib/python3.9/site-packages/trl/trainer/sft_trainer.py:401: FutureWarning: `tokenizer` is deprecated and will be removed in version 5.0.0 for `LowdimSFTTrainer.__init__`. Use `processing_class` instead. - super().__init__( -[2026-09-25 10:18:37,100] [INFO] [real_accelerator.py:219:get_accelerator] Setting ds_accelerator to cuda (auto detect) -[2026-09-25 10:18:37,279][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmpnwql76qr/test.c -o /tmp/tmpnwql76qr/test.o -[2026-09-25 10:18:37,356][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmpnwql76qr/test.o -laio -o /tmp/tmpnwql76qr/a.out -[2026-09-25 10:18:38,256][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -O2 -Wall -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -I/home/chyang/miniconda3/envs/llm-bc/include -fPIC -O2 -isystem /home/chyang/miniconda3/envs/llm-bc/include -fPIC -c /tmp/tmp_uf_6lwo/test.c -o /tmp/tmp_uf_6lwo/test.o -[2026-09-25 10:18:38,333][root][INFO] - gcc -pthread -B /home/chyang/miniconda3/envs/llm-bc/compiler_compat /tmp/tmp_uf_6lwo/test.o -L/usr/local/cuda -L/usr/local/cuda/lib64 -lcufile -o /tmp/tmp_uf_6lwo/a.out -wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter. - 0%|▏ | 10/5570 [00:08<1:13:08, 1.27it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'loss': 1.959, 'grad_norm': 403.3257751464844, 'learning_rate': 1e-05, 'epoch': 0.0} -{'loss': 1.9211, 'grad_norm': 396.02569580078125, 'learning_rate': 2e-05, 'epoch': 0.0} -{'loss': 2.3247, 'grad_norm': 432.8390808105469, 'learning_rate': 3e-05, 'epoch': 0.01} -{'loss': 2.5744, 'grad_norm': 328.58795166015625, 'learning_rate': 4e-05, 'epoch': 0.01} -{'loss': 2.7052, 'grad_norm': 167.38356018066406, 'learning_rate': 5e-05, 'epoch': 0.01} -{'loss': 2.6467, 'grad_norm': 186.90220642089844, 'learning_rate': 6e-05, 'epoch': 0.01} -{'loss': 2.3351, 'grad_norm': 99.12967681884766, 'learning_rate': 7e-05, 'epoch': 0.01} -{'loss': 2.0601, 'grad_norm': 104.05828857421875, 'learning_rate': 8e-05, 'epoch': 0.01} -{'loss': 1.6711, 'grad_norm': 66.13983917236328, 'learning_rate': 9e-05, 'epoch': 0.02} -{'loss': 1.4059, 'grad_norm': 52.08158874511719, 'learning_rate': 0.0001, 'epoch': 0.02} -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. - 0%|▎ | 20/5570 [00:18<1:23:38, 1.11it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 1.2510477304458618, 'eval_runtime': 1.5008, 'eval_samples_per_second': 479.732, 'eval_steps_per_second': 3.998, 'epoch': 0.02} -{'loss': 1.2475, 'grad_norm': 56.958309173583984, 'learning_rate': 9.998201438848921e-05, 'epoch': 0.02} -{'loss': 1.0978, 'grad_norm': 42.002685546875, 'learning_rate': 9.996402877697842e-05, 'epoch': 0.02} -{'loss': 0.9014, 'grad_norm': 11.9528169631958, 'learning_rate': 9.994604316546763e-05, 'epoch': 0.02} -{'loss': 0.7944, 'grad_norm': 18.46063804626465, 'learning_rate': 9.992805755395685e-05, 'epoch': 0.03} -{'loss': 0.7867, 'grad_norm': 5.864548206329346, 'learning_rate': 9.991007194244604e-05, 'epoch': 0.03} -{'loss': 0.8081, 'grad_norm': 17.79781723022461, 'learning_rate': 9.989208633093525e-05, 'epoch': 0.03} -{'loss': 0.75, 'grad_norm': 8.466806411743164, 'learning_rate': 9.987410071942447e-05, 'epoch': 0.03} -{'loss': 0.675, 'grad_norm': 4.284311294555664, 'learning_rate': 9.985611510791367e-05, 'epoch': 0.03} -{'loss': 0.6345, 'grad_norm': 2.907273054122925, 'learning_rate': 9.983812949640289e-05, 'epoch': 0.03} -{'loss': 0.6428, 'grad_norm': 6.13754940032959, 'learning_rate': 9.98201438848921e-05, 'epoch': 0.04} - 1%|▌ | 30/5570 [00:28<1:24:10, 1.10it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.6047831177711487, 'eval_runtime': 1.5251, 'eval_samples_per_second': 472.113, 'eval_steps_per_second': 3.934, 'epoch': 0.04} -{'loss': 0.6005, 'grad_norm': 2.2975006103515625, 'learning_rate': 9.98021582733813e-05, 'epoch': 0.04} -{'loss': 0.5987, 'grad_norm': 1.9163192510604858, 'learning_rate': 9.978417266187051e-05, 'epoch': 0.04} -{'loss': 0.6054, 'grad_norm': 2.069448471069336, 'learning_rate': 9.976618705035972e-05, 'epoch': 0.04} -{'loss': 0.6048, 'grad_norm': 1.7189089059829712, 'learning_rate': 9.974820143884893e-05, 'epoch': 0.04} -{'loss': 0.5795, 'grad_norm': 1.5426400899887085, 'learning_rate': 9.973021582733813e-05, 'epoch': 0.04} -{'loss': 0.5957, 'grad_norm': 1.5990700721740723, 'learning_rate': 9.971223021582734e-05, 'epoch': 0.05} -{'loss': 0.5772, 'grad_norm': 1.2995222806930542, 'learning_rate': 9.969424460431655e-05, 'epoch': 0.05} -{'loss': 0.5704, 'grad_norm': 1.3951421976089478, 'learning_rate': 9.967625899280576e-05, 'epoch': 0.05} -{'loss': 0.573, 'grad_norm': 1.335099220275879, 'learning_rate': 9.965827338129496e-05, 'epoch': 0.05} -{'loss': 0.5553, 'grad_norm': 1.0651226043701172, 'learning_rate': 9.964028776978419e-05, 'epoch': 0.05} - 1%|▋ | 40/5570 [00:39<1:25:04, 1.08it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5689850449562073, 'eval_runtime': 1.5459, 'eval_samples_per_second': 465.749, 'eval_steps_per_second': 3.881, 'epoch': 0.05} -{'loss': 0.5733, 'grad_norm': 1.27681565284729, 'learning_rate': 9.962230215827338e-05, 'epoch': 0.06} -{'loss': 0.5628, 'grad_norm': 1.7046881914138794, 'learning_rate': 9.96043165467626e-05, 'epoch': 0.06} -{'loss': 0.5755, 'grad_norm': 1.5593918561935425, 'learning_rate': 9.958633093525181e-05, 'epoch': 0.06} -{'loss': 0.5528, 'grad_norm': 1.0013536214828491, 'learning_rate': 9.9568345323741e-05, 'epoch': 0.06} -{'loss': 0.5566, 'grad_norm': 1.1928257942199707, 'learning_rate': 9.955035971223022e-05, 'epoch': 0.06} -{'loss': 0.5617, 'grad_norm': 1.7530509233474731, 'learning_rate': 9.953237410071943e-05, 'epoch': 0.06} -{'loss': 0.556, 'grad_norm': 1.0583946704864502, 'learning_rate': 9.951438848920864e-05, 'epoch': 0.07} -{'loss': 0.5552, 'grad_norm': 1.5489356517791748, 'learning_rate': 9.949640287769785e-05, 'epoch': 0.07} -{'loss': 0.5598, 'grad_norm': 1.2190965414047241, 'learning_rate': 9.947841726618706e-05, 'epoch': 0.07} -{'loss': 0.5531, 'grad_norm': 1.2496287822723389, 'learning_rate': 9.946043165467626e-05, 'epoch': 0.07} - 1%|▊ | 50/5570 [00:50<1:26:29, 1.06it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5466405153274536, 'eval_runtime': 1.516, 'eval_samples_per_second': 474.938, 'eval_steps_per_second': 3.958, 'epoch': 0.07} -{'loss': 0.5552, 'grad_norm': 0.8453206419944763, 'learning_rate': 9.944244604316547e-05, 'epoch': 0.07} -{'loss': 0.5578, 'grad_norm': 0.8128775358200073, 'learning_rate': 9.942446043165468e-05, 'epoch': 0.08} -{'loss': 0.5413, 'grad_norm': 0.9547920823097229, 'learning_rate': 9.940647482014389e-05, 'epoch': 0.08} -{'loss': 0.5459, 'grad_norm': 0.929778516292572, 'learning_rate': 9.93884892086331e-05, 'epoch': 0.08} -{'loss': 0.546, 'grad_norm': 0.8542379140853882, 'learning_rate': 9.937050359712232e-05, 'epoch': 0.08} -{'loss': 0.5435, 'grad_norm': 0.9251307249069214, 'learning_rate': 9.935251798561151e-05, 'epoch': 0.08} -{'loss': 0.5456, 'grad_norm': 0.960298478603363, 'learning_rate': 9.933453237410072e-05, 'epoch': 0.08} -{'loss': 0.5393, 'grad_norm': 0.8930404186248779, 'learning_rate': 9.931654676258994e-05, 'epoch': 0.09} -{'loss': 0.5566, 'grad_norm': 0.8386637568473816, 'learning_rate': 9.929856115107913e-05, 'epoch': 0.09} -{'loss': 0.5499, 'grad_norm': 0.8550214767456055, 'learning_rate': 9.928057553956835e-05, 'epoch': 0.09} - 1%|█ | 60/5570 [01:00<1:15:06, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5464118719100952, 'eval_runtime': 1.5299, 'eval_samples_per_second': 470.618, 'eval_steps_per_second': 3.922, 'epoch': 0.09} -{'loss': 0.5462, 'grad_norm': 1.0284039974212646, 'learning_rate': 9.926258992805756e-05, 'epoch': 0.09} -{'loss': 0.5463, 'grad_norm': 1.1099803447723389, 'learning_rate': 9.924460431654677e-05, 'epoch': 0.09} -{'loss': 0.5556, 'grad_norm': 1.131213665008545, 'learning_rate': 9.922661870503598e-05, 'epoch': 0.1} -{'loss': 0.5498, 'grad_norm': 0.9441943168640137, 'learning_rate': 9.920863309352518e-05, 'epoch': 0.1} -{'loss': 0.5368, 'grad_norm': 0.903347909450531, 'learning_rate': 9.919064748201439e-05, 'epoch': 0.1} -{'loss': 0.5573, 'grad_norm': 1.0721933841705322, 'learning_rate': 9.91726618705036e-05, 'epoch': 0.1} -{'loss': 0.5661, 'grad_norm': 0.7771680355072021, 'learning_rate': 9.915467625899281e-05, 'epoch': 0.1} -{'loss': 0.5394, 'grad_norm': 0.6969689726829529, 'learning_rate': 9.913669064748203e-05, 'epoch': 0.1} -{'loss': 0.545, 'grad_norm': 0.7972683906555176, 'learning_rate': 9.911870503597122e-05, 'epoch': 0.11} -{'loss': 0.5321, 'grad_norm': 0.8117256760597229, 'learning_rate': 9.910071942446043e-05, 'epoch': 0.11} - 1%|█▏ | 70/5570 [01:09<1:14:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5415336489677429, 'eval_runtime': 1.5137, 'eval_samples_per_second': 475.671, 'eval_steps_per_second': 3.964, 'epoch': 0.11} -{'loss': 0.5509, 'grad_norm': 0.7711336016654968, 'learning_rate': 9.908273381294965e-05, 'epoch': 0.11} -{'loss': 0.5631, 'grad_norm': 0.7965937256813049, 'learning_rate': 9.906474820143885e-05, 'epoch': 0.11} -{'loss': 0.53, 'grad_norm': 0.8688042759895325, 'learning_rate': 9.904676258992807e-05, 'epoch': 0.11} -{'loss': 0.5341, 'grad_norm': 0.8233582377433777, 'learning_rate': 9.902877697841728e-05, 'epoch': 0.11} -{'loss': 0.5434, 'grad_norm': 0.7870287895202637, 'learning_rate': 9.901079136690647e-05, 'epoch': 0.12} -{'loss': 0.5467, 'grad_norm': 0.6921700239181519, 'learning_rate': 9.899280575539569e-05, 'epoch': 0.12} -{'loss': 0.5521, 'grad_norm': 0.8876088261604309, 'learning_rate': 9.89748201438849e-05, 'epoch': 0.12} -{'loss': 0.5447, 'grad_norm': 0.844264805316925, 'learning_rate': 9.89568345323741e-05, 'epoch': 0.12} -{'loss': 0.5278, 'grad_norm': 0.8918041586875916, 'learning_rate': 9.893884892086331e-05, 'epoch': 0.12} -{'loss': 0.5496, 'grad_norm': 0.7244712710380554, 'learning_rate': 9.892086330935252e-05, 'epoch': 0.13} - 1%|█▎ | 80/5570 [01:19<1:14:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5391088128089905, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.364, 'eval_steps_per_second': 3.92, 'epoch': 0.13} -{'loss': 0.5377, 'grad_norm': 0.8215616345405579, 'learning_rate': 9.890287769784173e-05, 'epoch': 0.13} -{'loss': 0.549, 'grad_norm': 0.8730773329734802, 'learning_rate': 9.888489208633094e-05, 'epoch': 0.13} -{'loss': 0.5479, 'grad_norm': 0.9481606483459473, 'learning_rate': 9.886690647482016e-05, 'epoch': 0.13} -{'loss': 0.5527, 'grad_norm': 0.8955445289611816, 'learning_rate': 9.884892086330935e-05, 'epoch': 0.13} -{'loss': 0.5443, 'grad_norm': 0.8335554003715515, 'learning_rate': 9.883093525179856e-05, 'epoch': 0.13} -{'loss': 0.5407, 'grad_norm': 0.7402577996253967, 'learning_rate': 9.881294964028778e-05, 'epoch': 0.14} -{'loss': 0.5436, 'grad_norm': 0.7877278923988342, 'learning_rate': 9.879496402877698e-05, 'epoch': 0.14} -{'loss': 0.5356, 'grad_norm': 0.8708076477050781, 'learning_rate': 9.87769784172662e-05, 'epoch': 0.14} -{'loss': 0.5422, 'grad_norm': 1.0707027912139893, 'learning_rate': 9.87589928057554e-05, 'epoch': 0.14} -{'loss': 0.5374, 'grad_norm': 0.6843219995498657, 'learning_rate': 9.874100719424461e-05, 'epoch': 0.14} - 2%|█▌ | 90/5570 [01:28<1:14:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5370636582374573, 'eval_runtime': 1.5207, 'eval_samples_per_second': 473.48, 'eval_steps_per_second': 3.946, 'epoch': 0.14} -{'loss': 0.5376, 'grad_norm': 0.8662040829658508, 'learning_rate': 9.872302158273382e-05, 'epoch': 0.15} -{'loss': 0.5438, 'grad_norm': 1.1514517068862915, 'learning_rate': 9.870503597122303e-05, 'epoch': 0.15} -{'loss': 0.5326, 'grad_norm': 0.8143203258514404, 'learning_rate': 9.868705035971224e-05, 'epoch': 0.15} -{'loss': 0.5399, 'grad_norm': 0.9687530994415283, 'learning_rate': 9.866906474820144e-05, 'epoch': 0.15} -{'loss': 0.5471, 'grad_norm': 0.9332894682884216, 'learning_rate': 9.865107913669065e-05, 'epoch': 0.15} -{'loss': 0.533, 'grad_norm': 0.8514765501022339, 'learning_rate': 9.863309352517986e-05, 'epoch': 0.15} -{'loss': 0.5337, 'grad_norm': 0.9796833992004395, 'learning_rate': 9.861510791366907e-05, 'epoch': 0.16} -{'loss': 0.5451, 'grad_norm': 0.757412850856781, 'learning_rate': 9.859712230215827e-05, 'epoch': 0.16} -{'loss': 0.5458, 'grad_norm': 0.8547170758247375, 'learning_rate': 9.85791366906475e-05, 'epoch': 0.16} -{'loss': 0.5458, 'grad_norm': 1.0361406803131104, 'learning_rate': 9.856115107913669e-05, 'epoch': 0.16} - 2%|█▋ | 100/5570 [01:38<1:14:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5321775674819946, 'eval_runtime': 1.5377, 'eval_samples_per_second': 468.224, 'eval_steps_per_second': 3.902, 'epoch': 0.16} -{'loss': 0.5329, 'grad_norm': 0.8277276754379272, 'learning_rate': 9.854316546762591e-05, 'epoch': 0.16} -{'loss': 0.5443, 'grad_norm': 0.9101958274841309, 'learning_rate': 9.852517985611512e-05, 'epoch': 0.17} -{'loss': 0.5522, 'grad_norm': 0.9392049908638, 'learning_rate': 9.850719424460431e-05, 'epoch': 0.17} -{'loss': 0.5386, 'grad_norm': 1.0763156414031982, 'learning_rate': 9.848920863309353e-05, 'epoch': 0.17} -{'loss': 0.5281, 'grad_norm': 0.9932032823562622, 'learning_rate': 9.847122302158274e-05, 'epoch': 0.17} -{'loss': 0.5378, 'grad_norm': 1.109574794769287, 'learning_rate': 9.845323741007195e-05, 'epoch': 0.17} -{'loss': 0.5375, 'grad_norm': 0.7104548215866089, 'learning_rate': 9.843525179856116e-05, 'epoch': 0.17} -{'loss': 0.5433, 'grad_norm': 0.8648303747177124, 'learning_rate': 9.841726618705036e-05, 'epoch': 0.18} -{'loss': 0.5225, 'grad_norm': 0.6687783598899841, 'learning_rate': 9.839928057553957e-05, 'epoch': 0.18} -{'loss': 0.5455, 'grad_norm': 0.7233970165252686, 'learning_rate': 9.838129496402878e-05, 'epoch': 0.18} - 2%|█▊ | 110/5570 [01:47<1:13:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5312256813049316, 'eval_runtime': 1.5194, 'eval_samples_per_second': 473.859, 'eval_steps_per_second': 3.949, 'epoch': 0.18} -{'loss': 0.5344, 'grad_norm': 0.759347140789032, 'learning_rate': 9.836330935251799e-05, 'epoch': 0.18} -{'loss': 0.5377, 'grad_norm': 0.8344153761863708, 'learning_rate': 9.83453237410072e-05, 'epoch': 0.18} -{'loss': 0.5336, 'grad_norm': 0.6920961737632751, 'learning_rate': 9.83273381294964e-05, 'epoch': 0.18} -{'loss': 0.5248, 'grad_norm': 0.8623962998390198, 'learning_rate': 9.830935251798562e-05, 'epoch': 0.19} -{'loss': 0.534, 'grad_norm': 0.6708405017852783, 'learning_rate': 9.829136690647482e-05, 'epoch': 0.19} -{'loss': 0.5293, 'grad_norm': 0.8671178221702576, 'learning_rate': 9.827338129496403e-05, 'epoch': 0.19} -{'loss': 0.5306, 'grad_norm': 0.8241252899169922, 'learning_rate': 9.825539568345325e-05, 'epoch': 0.19} -{'loss': 0.5232, 'grad_norm': 1.0871297121047974, 'learning_rate': 9.823741007194246e-05, 'epoch': 0.19} -{'loss': 0.5499, 'grad_norm': 0.7590427994728088, 'learning_rate': 9.821942446043166e-05, 'epoch': 0.2} -{'loss': 0.523, 'grad_norm': 1.5617629289627075, 'learning_rate': 9.820143884892087e-05, 'epoch': 0.2} - 2%|██ | 120/5570 [01:57<1:14:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5273436903953552, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.299, 'eval_steps_per_second': 3.911, 'epoch': 0.2} -{'loss': 0.5441, 'grad_norm': 1.0369244813919067, 'learning_rate': 9.818345323741008e-05, 'epoch': 0.2} -{'loss': 0.54, 'grad_norm': 1.7131016254425049, 'learning_rate': 9.816546762589929e-05, 'epoch': 0.2} -{'loss': 0.5473, 'grad_norm': 1.2486521005630493, 'learning_rate': 9.81474820143885e-05, 'epoch': 0.2} -{'loss': 0.5338, 'grad_norm': 0.9376602172851562, 'learning_rate': 9.81294964028777e-05, 'epoch': 0.2} -{'loss': 0.5256, 'grad_norm': 0.9344936609268188, 'learning_rate': 9.811151079136691e-05, 'epoch': 0.21} -{'loss': 0.5285, 'grad_norm': 0.9560769200325012, 'learning_rate': 9.809352517985612e-05, 'epoch': 0.21} -{'loss': 0.5302, 'grad_norm': 0.8403165936470032, 'learning_rate': 9.807553956834534e-05, 'epoch': 0.21} -{'loss': 0.5249, 'grad_norm': 0.7103498578071594, 'learning_rate': 9.805755395683453e-05, 'epoch': 0.21} -{'loss': 0.524, 'grad_norm': 1.025867223739624, 'learning_rate': 9.803956834532375e-05, 'epoch': 0.21} -{'loss': 0.5254, 'grad_norm': 0.738018274307251, 'learning_rate': 9.802158273381296e-05, 'epoch': 0.22} - 2%|██▏ | 130/5570 [02:06<1:13:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5243896245956421, 'eval_runtime': 1.5396, 'eval_samples_per_second': 467.639, 'eval_steps_per_second': 3.897, 'epoch': 0.22} -{'loss': 0.53, 'grad_norm': 0.9988358616828918, 'learning_rate': 9.800359712230216e-05, 'epoch': 0.22} -{'loss': 0.5304, 'grad_norm': 0.9264468550682068, 'learning_rate': 9.798561151079138e-05, 'epoch': 0.22} -{'loss': 0.5255, 'grad_norm': 0.9613214731216431, 'learning_rate': 9.796762589928058e-05, 'epoch': 0.22} -{'loss': 0.5321, 'grad_norm': 1.0395783185958862, 'learning_rate': 9.794964028776978e-05, 'epoch': 0.22} -{'loss': 0.5155, 'grad_norm': 0.7808675765991211, 'learning_rate': 9.7931654676259e-05, 'epoch': 0.22} -{'loss': 0.5186, 'grad_norm': 1.1359260082244873, 'learning_rate': 9.791366906474821e-05, 'epoch': 0.23} -{'loss': 0.5351, 'grad_norm': 0.9215195775032043, 'learning_rate': 9.789568345323742e-05, 'epoch': 0.23} -{'loss': 0.5184, 'grad_norm': 1.9561920166015625, 'learning_rate': 9.787769784172662e-05, 'epoch': 0.23} -{'loss': 0.5147, 'grad_norm': 1.1828774213790894, 'learning_rate': 9.785971223021583e-05, 'epoch': 0.23} -{'loss': 0.5276, 'grad_norm': 4.674948215484619, 'learning_rate': 9.784172661870504e-05, 'epoch': 0.23} - 3%|██▎ | 140/5570 [02:16<1:14:45, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5185531377792358, 'eval_runtime': 1.5461, 'eval_samples_per_second': 465.702, 'eval_steps_per_second': 3.881, 'epoch': 0.23} -{'loss': 0.5241, 'grad_norm': 1.5551775693893433, 'learning_rate': 9.782374100719425e-05, 'epoch': 0.24} -{'loss': 0.5262, 'grad_norm': 0.8723130226135254, 'learning_rate': 9.780575539568347e-05, 'epoch': 0.24} -{'loss': 0.5273, 'grad_norm': 1.075061559677124, 'learning_rate': 9.778776978417266e-05, 'epoch': 0.24} -{'loss': 0.5236, 'grad_norm': 2.133148431777954, 'learning_rate': 9.776978417266187e-05, 'epoch': 0.24} -{'loss': 0.5127, 'grad_norm': 0.8836541175842285, 'learning_rate': 9.775179856115109e-05, 'epoch': 0.24} -{'loss': 0.5292, 'grad_norm': 3.9003748893737793, 'learning_rate': 9.773381294964028e-05, 'epoch': 0.24} -{'loss': 0.537, 'grad_norm': 3.0122172832489014, 'learning_rate': 9.77158273381295e-05, 'epoch': 0.25} -{'loss': 0.5401, 'grad_norm': 3.6417222023010254, 'learning_rate': 9.769784172661871e-05, 'epoch': 0.25} -{'loss': 0.5271, 'grad_norm': 3.4271926879882812, 'learning_rate': 9.767985611510792e-05, 'epoch': 0.25} -{'loss': 0.5191, 'grad_norm': 1.140234112739563, 'learning_rate': 9.766187050359713e-05, 'epoch': 0.25} - 3%|██▌ | 150/5570 [02:26<1:13:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5136221051216125, 'eval_runtime': 1.5653, 'eval_samples_per_second': 459.981, 'eval_steps_per_second': 3.833, 'epoch': 0.25} -{'loss': 0.5245, 'grad_norm': 3.127751111984253, 'learning_rate': 9.764388489208634e-05, 'epoch': 0.25} -{'loss': 0.5163, 'grad_norm': 1.0175405740737915, 'learning_rate': 9.762589928057554e-05, 'epoch': 0.25} -{'loss': 0.5123, 'grad_norm': 0.8123784065246582, 'learning_rate': 9.760791366906475e-05, 'epoch': 0.26} -{'loss': 0.5049, 'grad_norm': 0.9523105025291443, 'learning_rate': 9.758992805755396e-05, 'epoch': 0.26} -{'loss': 0.5261, 'grad_norm': 3.733715534210205, 'learning_rate': 9.757194244604317e-05, 'epoch': 0.26} -{'loss': 0.5137, 'grad_norm': 1.1382300853729248, 'learning_rate': 9.755395683453238e-05, 'epoch': 0.26} -{'loss': 0.5192, 'grad_norm': 2.8623924255371094, 'learning_rate': 9.753597122302158e-05, 'epoch': 0.26} -{'loss': 0.522, 'grad_norm': 1.1382319927215576, 'learning_rate': 9.75179856115108e-05, 'epoch': 0.27} -{'loss': 0.524, 'grad_norm': 4.775383472442627, 'learning_rate': 9.75e-05, 'epoch': 0.27} -{'loss': 0.5237, 'grad_norm': 5.993133544921875, 'learning_rate': 9.748201438848922e-05, 'epoch': 0.27} - 3%|██▋ | 160/5570 [02:35<1:13:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5213598608970642, 'eval_runtime': 1.5524, 'eval_samples_per_second': 463.791, 'eval_steps_per_second': 3.865, 'epoch': 0.27} -{'loss': 0.5267, 'grad_norm': 3.008195161819458, 'learning_rate': 9.746402877697843e-05, 'epoch': 0.27} -{'loss': 0.5357, 'grad_norm': 4.516148567199707, 'learning_rate': 9.744604316546762e-05, 'epoch': 0.27} -{'loss': 0.5244, 'grad_norm': 2.4823122024536133, 'learning_rate': 9.742805755395684e-05, 'epoch': 0.27} -{'loss': 0.5329, 'grad_norm': 3.1366193294525146, 'learning_rate': 9.741007194244605e-05, 'epoch': 0.28} -{'loss': 0.5236, 'grad_norm': 4.1520280838012695, 'learning_rate': 9.739208633093526e-05, 'epoch': 0.28} -{'loss': 0.5111, 'grad_norm': 0.731735348701477, 'learning_rate': 9.737410071942447e-05, 'epoch': 0.28} -{'loss': 0.5077, 'grad_norm': 4.6267805099487305, 'learning_rate': 9.735611510791367e-05, 'epoch': 0.28} -{'loss': 0.5132, 'grad_norm': 2.651616096496582, 'learning_rate': 9.733812949640288e-05, 'epoch': 0.28} -{'loss': 0.5315, 'grad_norm': 3.1776645183563232, 'learning_rate': 9.732014388489209e-05, 'epoch': 0.29} -{'loss': 0.5132, 'grad_norm': 3.3285913467407227, 'learning_rate': 9.73021582733813e-05, 'epoch': 0.29} - 3%|██▊ | 170/5570 [02:45<1:13:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5120706558227539, 'eval_runtime': 1.5408, 'eval_samples_per_second': 467.275, 'eval_steps_per_second': 3.894, 'epoch': 0.29} -{'loss': 0.5167, 'grad_norm': 1.5724998712539673, 'learning_rate': 9.72841726618705e-05, 'epoch': 0.29} -{'loss': 0.5176, 'grad_norm': 1.7914447784423828, 'learning_rate': 9.726618705035971e-05, 'epoch': 0.29} -{'loss': 0.5069, 'grad_norm': 2.3979756832122803, 'learning_rate': 9.724820143884893e-05, 'epoch': 0.29} -{'loss': 0.5106, 'grad_norm': 1.4313442707061768, 'learning_rate': 9.723021582733813e-05, 'epoch': 0.29} -{'loss': 0.5143, 'grad_norm': 4.477088451385498, 'learning_rate': 9.721223021582734e-05, 'epoch': 0.3} -{'loss': 0.5172, 'grad_norm': 4.030254364013672, 'learning_rate': 9.719424460431656e-05, 'epoch': 0.3} -{'loss': 0.5137, 'grad_norm': 0.7178619503974915, 'learning_rate': 9.717625899280576e-05, 'epoch': 0.3} -{'loss': 0.5075, 'grad_norm': 2.57492733001709, 'learning_rate': 9.715827338129497e-05, 'epoch': 0.3} -{'loss': 0.5122, 'grad_norm': 1.3092610836029053, 'learning_rate': 9.714028776978418e-05, 'epoch': 0.3} -{'loss': 0.5062, 'grad_norm': 2.368543863296509, 'learning_rate': 9.712230215827339e-05, 'epoch': 0.31} - 3%|███ | 180/5570 [02:54<1:13:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.50661301612854, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.368, 'eval_steps_per_second': 3.903, 'epoch': 0.31} -{'loss': 0.5077, 'grad_norm': 1.3549060821533203, 'learning_rate': 9.71043165467626e-05, 'epoch': 0.31} -{'loss': 0.513, 'grad_norm': 1.523661494255066, 'learning_rate': 9.70863309352518e-05, 'epoch': 0.31} -{'loss': 0.5271, 'grad_norm': 5.0099263191223145, 'learning_rate': 9.706834532374101e-05, 'epoch': 0.31} -{'loss': 0.5088, 'grad_norm': 1.9681503772735596, 'learning_rate': 9.705035971223022e-05, 'epoch': 0.31} -{'loss': 0.5104, 'grad_norm': 4.641574382781982, 'learning_rate': 9.703237410071943e-05, 'epoch': 0.31} -{'loss': 0.5188, 'grad_norm': 3.7919576168060303, 'learning_rate': 9.701438848920865e-05, 'epoch': 0.32} -{'loss': 0.5073, 'grad_norm': 2.2082536220550537, 'learning_rate': 9.699640287769784e-05, 'epoch': 0.32} -{'loss': 0.509, 'grad_norm': 1.6706050634384155, 'learning_rate': 9.697841726618706e-05, 'epoch': 0.32} -{'loss': 0.5171, 'grad_norm': 3.847383737564087, 'learning_rate': 9.696043165467627e-05, 'epoch': 0.32} -{'loss': 0.5323, 'grad_norm': 3.099137783050537, 'learning_rate': 9.694244604316546e-05, 'epoch': 0.32} - 3%|███▏ | 190/5570 [03:04<1:13:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5019656419754028, 'eval_runtime': 1.5465, 'eval_samples_per_second': 465.567, 'eval_steps_per_second': 3.88, 'epoch': 0.32} -{'loss': 0.5058, 'grad_norm': 2.7307896614074707, 'learning_rate': 9.692446043165469e-05, 'epoch': 0.32} -{'loss': 0.5037, 'grad_norm': 1.175683617591858, 'learning_rate': 9.69064748201439e-05, 'epoch': 0.33} -{'loss': 0.5063, 'grad_norm': 2.891660213470459, 'learning_rate': 9.688848920863309e-05, 'epoch': 0.33} -{'loss': 0.4957, 'grad_norm': 2.0939061641693115, 'learning_rate': 9.687050359712231e-05, 'epoch': 0.33} -{'loss': 0.5219, 'grad_norm': 3.301852226257324, 'learning_rate': 9.685251798561152e-05, 'epoch': 0.33} -{'loss': 0.5065, 'grad_norm': 2.3881676197052, 'learning_rate': 9.683453237410072e-05, 'epoch': 0.33} -{'loss': 0.5247, 'grad_norm': 0.8455834984779358, 'learning_rate': 9.681654676258993e-05, 'epoch': 0.34} -{'loss': 0.5047, 'grad_norm': 5.209272384643555, 'learning_rate': 9.679856115107914e-05, 'epoch': 0.34} -{'loss': 0.5059, 'grad_norm': 4.266645908355713, 'learning_rate': 9.678057553956835e-05, 'epoch': 0.34} -{'loss': 0.5072, 'grad_norm': 1.0533697605133057, 'learning_rate': 9.676258992805755e-05, 'epoch': 0.34} - 4%|███▎ | 200/5570 [03:14<1:13:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5111718773841858, 'eval_runtime': 1.5457, 'eval_samples_per_second': 465.795, 'eval_steps_per_second': 3.882, 'epoch': 0.34} -{'loss': 0.5133, 'grad_norm': 4.169351100921631, 'learning_rate': 9.674460431654678e-05, 'epoch': 0.34} -{'loss': 0.5328, 'grad_norm': 6.259123802185059, 'learning_rate': 9.672661870503597e-05, 'epoch': 0.34} -{'loss': 0.5036, 'grad_norm': 3.336094379425049, 'learning_rate': 9.670863309352518e-05, 'epoch': 0.35} -{'loss': 0.502, 'grad_norm': 1.7620106935501099, 'learning_rate': 9.66906474820144e-05, 'epoch': 0.35} -{'loss': 0.5037, 'grad_norm': 3.5950770378112793, 'learning_rate': 9.66726618705036e-05, 'epoch': 0.35} -{'loss': 0.5151, 'grad_norm': 2.1679537296295166, 'learning_rate': 9.665467625899281e-05, 'epoch': 0.35} -{'loss': 0.5112, 'grad_norm': 2.3861899375915527, 'learning_rate': 9.663669064748202e-05, 'epoch': 0.35} -{'loss': 0.5089, 'grad_norm': 3.3519599437713623, 'learning_rate': 9.661870503597123e-05, 'epoch': 0.36} -{'loss': 0.5165, 'grad_norm': 1.2548518180847168, 'learning_rate': 9.660071942446044e-05, 'epoch': 0.36} -{'loss': 0.5094, 'grad_norm': 3.7394378185272217, 'learning_rate': 9.658273381294965e-05, 'epoch': 0.36} - 4%|███▌ | 210/5570 [03:23<1:12:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5108753442764282, 'eval_runtime': 1.5616, 'eval_samples_per_second': 461.074, 'eval_steps_per_second': 3.842, 'epoch': 0.36} -{'loss': 0.5026, 'grad_norm': 4.504335880279541, 'learning_rate': 9.656474820143885e-05, 'epoch': 0.36} -{'loss': 0.5074, 'grad_norm': 2.235212802886963, 'learning_rate': 9.654676258992806e-05, 'epoch': 0.36} -{'loss': 0.527, 'grad_norm': 4.079780578613281, 'learning_rate': 9.652877697841727e-05, 'epoch': 0.36} -{'loss': 0.5466, 'grad_norm': 5.395424842834473, 'learning_rate': 9.651079136690649e-05, 'epoch': 0.37} -{'loss': 0.5255, 'grad_norm': 3.8942596912384033, 'learning_rate': 9.649280575539568e-05, 'epoch': 0.37} -{'loss': 0.5138, 'grad_norm': 0.8668603897094727, 'learning_rate': 9.647482014388489e-05, 'epoch': 0.37} -{'loss': 0.5184, 'grad_norm': 4.040770053863525, 'learning_rate': 9.645683453237411e-05, 'epoch': 0.37} -{'loss': 0.5271, 'grad_norm': 4.911808013916016, 'learning_rate': 9.643884892086331e-05, 'epoch': 0.37} -{'loss': 0.5113, 'grad_norm': 2.090587615966797, 'learning_rate': 9.642086330935253e-05, 'epoch': 0.38} -{'loss': 0.5062, 'grad_norm': 1.063880205154419, 'learning_rate': 9.640287769784174e-05, 'epoch': 0.38} - 4%|███▋ | 220/5570 [03:33<1:13:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5094433426856995, 'eval_runtime': 1.5456, 'eval_samples_per_second': 465.853, 'eval_steps_per_second': 3.882, 'epoch': 0.38} -{'loss': 0.5254, 'grad_norm': 1.6465656757354736, 'learning_rate': 9.638489208633093e-05, 'epoch': 0.38} -{'loss': 0.5053, 'grad_norm': 1.0958033800125122, 'learning_rate': 9.636690647482015e-05, 'epoch': 0.38} -{'loss': 0.5074, 'grad_norm': 1.0233049392700195, 'learning_rate': 9.634892086330936e-05, 'epoch': 0.38} -{'loss': 0.5011, 'grad_norm': 1.579149842262268, 'learning_rate': 9.633093525179857e-05, 'epoch': 0.38} -{'loss': 0.5334, 'grad_norm': 3.5725009441375732, 'learning_rate': 9.631294964028777e-05, 'epoch': 0.39} -{'loss': 0.51, 'grad_norm': 1.478076696395874, 'learning_rate': 9.629496402877698e-05, 'epoch': 0.39} -{'loss': 0.5062, 'grad_norm': 1.4537506103515625, 'learning_rate': 9.627697841726619e-05, 'epoch': 0.39} -{'loss': 0.5118, 'grad_norm': 1.2860058546066284, 'learning_rate': 9.62589928057554e-05, 'epoch': 0.39} -{'loss': 0.5182, 'grad_norm': 2.976961612701416, 'learning_rate': 9.62410071942446e-05, 'epoch': 0.39} -{'loss': 0.5062, 'grad_norm': 3.1151928901672363, 'learning_rate': 9.622302158273381e-05, 'epoch': 0.39} - 4%|███▊ | 230/5570 [03:43<1:12:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5111338496208191, 'eval_runtime': 1.5324, 'eval_samples_per_second': 469.863, 'eval_steps_per_second': 3.916, 'epoch': 0.39} -{'loss': 0.512, 'grad_norm': 1.174506425857544, 'learning_rate': 9.620503597122302e-05, 'epoch': 0.4} -{'loss': 0.5171, 'grad_norm': 2.0233054161071777, 'learning_rate': 9.618705035971224e-05, 'epoch': 0.4} -{'loss': 0.5094, 'grad_norm': 0.9037115573883057, 'learning_rate': 9.616906474820144e-05, 'epoch': 0.4} -{'loss': 0.5015, 'grad_norm': 2.0799307823181152, 'learning_rate': 9.615107913669064e-05, 'epoch': 0.4} -{'loss': 0.5021, 'grad_norm': 2.461820125579834, 'learning_rate': 9.613309352517987e-05, 'epoch': 0.4} -{'loss': 0.5101, 'grad_norm': 2.5698418617248535, 'learning_rate': 9.611510791366907e-05, 'epoch': 0.41} -{'loss': 0.5234, 'grad_norm': 2.3640217781066895, 'learning_rate': 9.609712230215828e-05, 'epoch': 0.41} -{'loss': 0.5082, 'grad_norm': 0.8932956457138062, 'learning_rate': 9.607913669064749e-05, 'epoch': 0.41} -{'loss': 0.5114, 'grad_norm': 1.873935580253601, 'learning_rate': 9.60611510791367e-05, 'epoch': 0.41} -{'loss': 0.5109, 'grad_norm': 1.0674492120742798, 'learning_rate': 9.60431654676259e-05, 'epoch': 0.41} - 4%|████ | 240/5570 [03:52<1:12:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5012538433074951, 'eval_runtime': 1.5454, 'eval_samples_per_second': 465.893, 'eval_steps_per_second': 3.882, 'epoch': 0.41} -{'loss': 0.5016, 'grad_norm': 0.7038099765777588, 'learning_rate': 9.602517985611511e-05, 'epoch': 0.41} -{'loss': 0.5066, 'grad_norm': 0.6744346022605896, 'learning_rate': 9.600719424460432e-05, 'epoch': 0.42} -{'loss': 0.5094, 'grad_norm': 1.0082676410675049, 'learning_rate': 9.598920863309353e-05, 'epoch': 0.42} -{'loss': 0.5016, 'grad_norm': 1.5145052671432495, 'learning_rate': 9.597122302158273e-05, 'epoch': 0.42} -{'loss': 0.5068, 'grad_norm': 4.117657661437988, 'learning_rate': 9.595323741007196e-05, 'epoch': 0.42} -{'loss': 0.5012, 'grad_norm': 3.883413314819336, 'learning_rate': 9.593525179856115e-05, 'epoch': 0.42} -{'loss': 0.5061, 'grad_norm': 1.2535408735275269, 'learning_rate': 9.591726618705037e-05, 'epoch': 0.43} -{'loss': 0.5245, 'grad_norm': 1.9763606786727905, 'learning_rate': 9.589928057553958e-05, 'epoch': 0.43} -{'loss': 0.5165, 'grad_norm': 1.9906610250473022, 'learning_rate': 9.588129496402877e-05, 'epoch': 0.43} -{'loss': 0.5078, 'grad_norm': 2.0877978801727295, 'learning_rate': 9.5863309352518e-05, 'epoch': 0.43} - 4%|████▏ | 250/5570 [04:02<1:12:40, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5060234665870667, 'eval_runtime': 1.5531, 'eval_samples_per_second': 463.586, 'eval_steps_per_second': 3.863, 'epoch': 0.43} -{'loss': 0.5032, 'grad_norm': 2.6717324256896973, 'learning_rate': 9.58453237410072e-05, 'epoch': 0.43} -{'loss': 0.5157, 'grad_norm': 3.242534637451172, 'learning_rate': 9.58273381294964e-05, 'epoch': 0.43} -{'loss': 0.5105, 'grad_norm': 1.2323520183563232, 'learning_rate': 9.580935251798562e-05, 'epoch': 0.44} -{'loss': 0.5179, 'grad_norm': 2.0859057903289795, 'learning_rate': 9.579136690647483e-05, 'epoch': 0.44} -{'loss': 0.5176, 'grad_norm': 2.6545755863189697, 'learning_rate': 9.577338129496403e-05, 'epoch': 0.44} -{'loss': 0.5111, 'grad_norm': 1.4752618074417114, 'learning_rate': 9.575539568345324e-05, 'epoch': 0.44} -{'loss': 0.5032, 'grad_norm': 1.6720592975616455, 'learning_rate': 9.573741007194245e-05, 'epoch': 0.44} -{'loss': 0.5031, 'grad_norm': 0.5693705081939697, 'learning_rate': 9.571942446043166e-05, 'epoch': 0.45} -{'loss': 0.5018, 'grad_norm': 1.0988410711288452, 'learning_rate': 9.570143884892086e-05, 'epoch': 0.45} -{'loss': 0.5076, 'grad_norm': 1.017557144165039, 'learning_rate': 9.568345323741009e-05, 'epoch': 0.45} - 5%|████▎ | 260/5570 [04:11<1:12:53, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4998486042022705, 'eval_runtime': 1.5487, 'eval_samples_per_second': 464.906, 'eval_steps_per_second': 3.874, 'epoch': 0.45} -{'loss': 0.4968, 'grad_norm': 2.0107221603393555, 'learning_rate': 9.566546762589928e-05, 'epoch': 0.45} -{'loss': 0.5043, 'grad_norm': 1.109048843383789, 'learning_rate': 9.564748201438849e-05, 'epoch': 0.45} -{'loss': 0.5011, 'grad_norm': 2.1248269081115723, 'learning_rate': 9.562949640287771e-05, 'epoch': 0.45} -{'loss': 0.4989, 'grad_norm': 3.665970802307129, 'learning_rate': 9.561151079136692e-05, 'epoch': 0.46} -{'loss': 0.5162, 'grad_norm': 1.4587044715881348, 'learning_rate': 9.559352517985612e-05, 'epoch': 0.46} -{'loss': 0.5047, 'grad_norm': 1.1654763221740723, 'learning_rate': 9.557553956834533e-05, 'epoch': 0.46} -{'loss': 0.5015, 'grad_norm': 0.8304671049118042, 'learning_rate': 9.555755395683454e-05, 'epoch': 0.46} -{'loss': 0.5042, 'grad_norm': 1.1271872520446777, 'learning_rate': 9.553956834532375e-05, 'epoch': 0.46} -{'loss': 0.5118, 'grad_norm': 2.228677272796631, 'learning_rate': 9.552158273381295e-05, 'epoch': 0.46} -{'loss': 0.5069, 'grad_norm': 0.648659348487854, 'learning_rate': 9.550359712230216e-05, 'epoch': 0.47} - 5%|████▌ | 270/5570 [04:21<1:13:01, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5005810856819153, 'eval_runtime': 1.5274, 'eval_samples_per_second': 471.392, 'eval_steps_per_second': 3.928, 'epoch': 0.47} -{'loss': 0.5115, 'grad_norm': 1.7818423509597778, 'learning_rate': 9.548561151079137e-05, 'epoch': 0.47} -{'loss': 0.5081, 'grad_norm': 1.408427357673645, 'learning_rate': 9.546762589928058e-05, 'epoch': 0.47} -{'loss': 0.5063, 'grad_norm': 1.2292267084121704, 'learning_rate': 9.54496402877698e-05, 'epoch': 0.47} -{'loss': 0.4987, 'grad_norm': 2.765413999557495, 'learning_rate': 9.543165467625899e-05, 'epoch': 0.47} -{'loss': 0.5139, 'grad_norm': 2.324322462081909, 'learning_rate': 9.54136690647482e-05, 'epoch': 0.48} -{'loss': 0.5152, 'grad_norm': 2.925034761428833, 'learning_rate': 9.539568345323742e-05, 'epoch': 0.48} -{'loss': 0.509, 'grad_norm': 3.0387022495269775, 'learning_rate': 9.537769784172662e-05, 'epoch': 0.48} -{'loss': 0.5064, 'grad_norm': 1.0543216466903687, 'learning_rate': 9.535971223021584e-05, 'epoch': 0.48} -{'loss': 0.5065, 'grad_norm': 0.8818501234054565, 'learning_rate': 9.534172661870505e-05, 'epoch': 0.48} -{'loss': 0.5009, 'grad_norm': 3.2846670150756836, 'learning_rate': 9.532374100719424e-05, 'epoch': 0.48} - 5%|████▋ | 280/5570 [04:31<1:12:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5014638304710388, 'eval_runtime': 1.5386, 'eval_samples_per_second': 467.962, 'eval_steps_per_second': 3.9, 'epoch': 0.48} -{'loss': 0.5112, 'grad_norm': 1.6922153234481812, 'learning_rate': 9.530575539568346e-05, 'epoch': 0.49} -{'loss': 0.5116, 'grad_norm': 1.0053006410598755, 'learning_rate': 9.528776978417267e-05, 'epoch': 0.49} -{'loss': 0.506, 'grad_norm': 1.8656325340270996, 'learning_rate': 9.526978417266188e-05, 'epoch': 0.49} -{'loss': 0.4964, 'grad_norm': 1.4256386756896973, 'learning_rate': 9.525179856115108e-05, 'epoch': 0.49} -{'loss': 0.5041, 'grad_norm': 4.063684463500977, 'learning_rate': 9.523381294964029e-05, 'epoch': 0.49} -{'loss': 0.522, 'grad_norm': 3.9076571464538574, 'learning_rate': 9.52158273381295e-05, 'epoch': 0.5} -{'loss': 0.5098, 'grad_norm': 1.6855593919754028, 'learning_rate': 9.519784172661871e-05, 'epoch': 0.5} -{'loss': 0.5135, 'grad_norm': 3.26273512840271, 'learning_rate': 9.517985611510793e-05, 'epoch': 0.5} -{'loss': 0.5178, 'grad_norm': 4.825316429138184, 'learning_rate': 9.516187050359712e-05, 'epoch': 0.5} -{'loss': 0.5148, 'grad_norm': 2.5935564041137695, 'learning_rate': 9.514388489208633e-05, 'epoch': 0.5} - 5%|████▊ | 290/5570 [04:40<1:12:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5008525252342224, 'eval_runtime': 1.5515, 'eval_samples_per_second': 464.079, 'eval_steps_per_second': 3.867, 'epoch': 0.5} -{'loss': 0.5056, 'grad_norm': 0.8285969495773315, 'learning_rate': 9.512589928057555e-05, 'epoch': 0.5} -{'loss': 0.4917, 'grad_norm': 2.067333698272705, 'learning_rate': 9.510791366906475e-05, 'epoch': 0.51} -{'loss': 0.5005, 'grad_norm': 1.0690878629684448, 'learning_rate': 9.508992805755395e-05, 'epoch': 0.51} -{'loss': 0.5026, 'grad_norm': 2.88849139213562, 'learning_rate': 9.507194244604317e-05, 'epoch': 0.51} -{'loss': 0.5038, 'grad_norm': 1.6792566776275635, 'learning_rate': 9.505395683453238e-05, 'epoch': 0.51} -{'loss': 0.5174, 'grad_norm': 1.2572135925292969, 'learning_rate': 9.503597122302159e-05, 'epoch': 0.51} -{'loss': 0.4968, 'grad_norm': 2.7939321994781494, 'learning_rate': 9.50179856115108e-05, 'epoch': 0.52} -{'loss': 0.5008, 'grad_norm': 2.164808750152588, 'learning_rate': 9.5e-05, 'epoch': 0.52} -{'loss': 0.5037, 'grad_norm': 1.007466435432434, 'learning_rate': 9.498201438848921e-05, 'epoch': 0.52} -{'loss': 0.5108, 'grad_norm': 0.7727232575416565, 'learning_rate': 9.496402877697842e-05, 'epoch': 0.52} - 5%|█████ | 300/5570 [04:50<1:12:19, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4995102286338806, 'eval_runtime': 1.5416, 'eval_samples_per_second': 467.053, 'eval_steps_per_second': 3.892, 'epoch': 0.52} -{'loss': 0.5005, 'grad_norm': 1.1993794441223145, 'learning_rate': 9.494604316546764e-05, 'epoch': 0.52} -{'loss': 0.5053, 'grad_norm': 0.905348002910614, 'learning_rate': 9.492805755395684e-05, 'epoch': 0.52} -{'loss': 0.5038, 'grad_norm': 2.1607465744018555, 'learning_rate': 9.491007194244604e-05, 'epoch': 0.53} -{'loss': 0.5102, 'grad_norm': 1.6607794761657715, 'learning_rate': 9.489208633093527e-05, 'epoch': 0.53} -{'loss': 0.4873, 'grad_norm': 1.6547361612319946, 'learning_rate': 9.487410071942446e-05, 'epoch': 0.53} -{'loss': 0.5019, 'grad_norm': 1.515211582183838, 'learning_rate': 9.485611510791368e-05, 'epoch': 0.53} -{'loss': 0.5136, 'grad_norm': 1.1443787813186646, 'learning_rate': 9.483812949640289e-05, 'epoch': 0.53} -{'loss': 0.5074, 'grad_norm': 0.7223443984985352, 'learning_rate': 9.482014388489208e-05, 'epoch': 0.54} -{'loss': 0.5024, 'grad_norm': 1.6799627542495728, 'learning_rate': 9.48021582733813e-05, 'epoch': 0.54} -{'loss': 0.4874, 'grad_norm': 1.759009838104248, 'learning_rate': 9.478417266187051e-05, 'epoch': 0.54} - 6%|█████▏ | 310/5570 [04:59<1:11:52, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4977715015411377, 'eval_runtime': 1.5407, 'eval_samples_per_second': 467.319, 'eval_steps_per_second': 3.894, 'epoch': 0.54} -{'loss': 0.4975, 'grad_norm': 0.9262073636054993, 'learning_rate': 9.47661870503597e-05, 'epoch': 0.54} -{'loss': 0.5131, 'grad_norm': 1.830807089805603, 'learning_rate': 9.474820143884893e-05, 'epoch': 0.54} -{'loss': 0.508, 'grad_norm': 1.6880216598510742, 'learning_rate': 9.473021582733813e-05, 'epoch': 0.54} -{'loss': 0.5021, 'grad_norm': 2.695749044418335, 'learning_rate': 9.471223021582734e-05, 'epoch': 0.55} -{'loss': 0.5015, 'grad_norm': 3.364701509475708, 'learning_rate': 9.469424460431655e-05, 'epoch': 0.55} -{'loss': 0.5005, 'grad_norm': 0.6779438257217407, 'learning_rate': 9.467625899280576e-05, 'epoch': 0.55} -{'loss': 0.5011, 'grad_norm': 3.6530532836914062, 'learning_rate': 9.465827338129497e-05, 'epoch': 0.55} -{'loss': 0.5035, 'grad_norm': 3.519355297088623, 'learning_rate': 9.464028776978417e-05, 'epoch': 0.55} -{'loss': 0.5082, 'grad_norm': 0.804618239402771, 'learning_rate': 9.46223021582734e-05, 'epoch': 0.55} -{'loss': 0.516, 'grad_norm': 2.5260088443756104, 'learning_rate': 9.460431654676259e-05, 'epoch': 0.56} - 6%|█████▎ | 320/5570 [05:09<1:11:09, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.5068315863609314, 'eval_runtime': 1.5368, 'eval_samples_per_second': 468.501, 'eval_steps_per_second': 3.904, 'epoch': 0.56} -{'loss': 0.5114, 'grad_norm': 3.9065191745758057, 'learning_rate': 9.45863309352518e-05, 'epoch': 0.56} -{'loss': 0.5072, 'grad_norm': 3.050790548324585, 'learning_rate': 9.456834532374102e-05, 'epoch': 0.56} -{'loss': 0.4983, 'grad_norm': 1.4913986921310425, 'learning_rate': 9.455035971223023e-05, 'epoch': 0.56} -{'loss': 0.5106, 'grad_norm': 2.970944881439209, 'learning_rate': 9.453237410071943e-05, 'epoch': 0.56} -{'loss': 0.5079, 'grad_norm': 1.8565847873687744, 'learning_rate': 9.451438848920864e-05, 'epoch': 0.57} -{'loss': 0.5058, 'grad_norm': 1.635306715965271, 'learning_rate': 9.449640287769785e-05, 'epoch': 0.57} -{'loss': 0.5065, 'grad_norm': 1.399940013885498, 'learning_rate': 9.447841726618706e-05, 'epoch': 0.57} -{'loss': 0.503, 'grad_norm': 0.5507561564445496, 'learning_rate': 9.446043165467626e-05, 'epoch': 0.57} -{'loss': 0.4992, 'grad_norm': 2.1814935207366943, 'learning_rate': 9.444244604316547e-05, 'epoch': 0.57} -{'loss': 0.496, 'grad_norm': 0.9600197672843933, 'learning_rate': 9.442446043165468e-05, 'epoch': 0.57} - 6%|█████▌ | 330/5570 [05:19<1:11:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49784359335899353, 'eval_runtime': 1.5489, 'eval_samples_per_second': 464.84, 'eval_steps_per_second': 3.874, 'epoch': 0.57} -{'loss': 0.4914, 'grad_norm': 1.8924881219863892, 'learning_rate': 9.440647482014389e-05, 'epoch': 0.58} -{'loss': 0.5087, 'grad_norm': 2.061107635498047, 'learning_rate': 9.438848920863311e-05, 'epoch': 0.58} -{'loss': 0.5139, 'grad_norm': 0.7516922354698181, 'learning_rate': 9.43705035971223e-05, 'epoch': 0.58} -{'loss': 0.4929, 'grad_norm': 2.1927876472473145, 'learning_rate': 9.435251798561151e-05, 'epoch': 0.58} -{'loss': 0.5188, 'grad_norm': 3.9160959720611572, 'learning_rate': 9.433453237410073e-05, 'epoch': 0.58} -{'loss': 0.5108, 'grad_norm': 0.8569409251213074, 'learning_rate': 9.431654676258993e-05, 'epoch': 0.59} -{'loss': 0.4975, 'grad_norm': 1.8591359853744507, 'learning_rate': 9.429856115107915e-05, 'epoch': 0.59} -{'loss': 0.5005, 'grad_norm': 1.52594792842865, 'learning_rate': 9.428057553956835e-05, 'epoch': 0.59} -{'loss': 0.4921, 'grad_norm': 0.7431463599205017, 'learning_rate': 9.426258992805755e-05, 'epoch': 0.59} -{'loss': 0.4964, 'grad_norm': 2.7915282249450684, 'learning_rate': 9.424460431654677e-05, 'epoch': 0.59} - 6%|█████▋ | 340/5570 [05:28<1:10:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49535831809043884, 'eval_runtime': 1.5381, 'eval_samples_per_second': 468.117, 'eval_steps_per_second': 3.901, 'epoch': 0.59} -{'loss': 0.5064, 'grad_norm': 0.9335540533065796, 'learning_rate': 9.422661870503598e-05, 'epoch': 0.59} -{'loss': 0.506, 'grad_norm': 2.4090538024902344, 'learning_rate': 9.420863309352519e-05, 'epoch': 0.6} -{'loss': 0.5022, 'grad_norm': 2.3472652435302734, 'learning_rate': 9.419064748201439e-05, 'epoch': 0.6} -{'loss': 0.5118, 'grad_norm': 2.9963173866271973, 'learning_rate': 9.41726618705036e-05, 'epoch': 0.6} -{'loss': 0.5051, 'grad_norm': 2.6520028114318848, 'learning_rate': 9.415467625899281e-05, 'epoch': 0.6} -{'loss': 0.4995, 'grad_norm': 0.9449722766876221, 'learning_rate': 9.413669064748202e-05, 'epoch': 0.6} -{'loss': 0.5036, 'grad_norm': 0.9944385290145874, 'learning_rate': 9.411870503597124e-05, 'epoch': 0.61} -{'loss': 0.4878, 'grad_norm': 1.326413869857788, 'learning_rate': 9.410071942446043e-05, 'epoch': 0.61} -{'loss': 0.5086, 'grad_norm': 1.7318692207336426, 'learning_rate': 9.408273381294964e-05, 'epoch': 0.61} -{'loss': 0.51, 'grad_norm': 1.665249228477478, 'learning_rate': 9.406474820143886e-05, 'epoch': 0.61} - 6%|█████▊ | 350/5570 [05:38<1:11:39, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4975135922431946, 'eval_runtime': 1.5413, 'eval_samples_per_second': 467.148, 'eval_steps_per_second': 3.893, 'epoch': 0.61} -{'loss': 0.507, 'grad_norm': 1.486007571220398, 'learning_rate': 9.404676258992807e-05, 'epoch': 0.61} -{'loss': 0.5086, 'grad_norm': 2.162590742111206, 'learning_rate': 9.402877697841726e-05, 'epoch': 0.61} -{'loss': 0.4992, 'grad_norm': 1.4193559885025024, 'learning_rate': 9.401079136690648e-05, 'epoch': 0.62} -{'loss': 0.5075, 'grad_norm': 1.9170136451721191, 'learning_rate': 9.399280575539569e-05, 'epoch': 0.62} -{'loss': 0.4862, 'grad_norm': 2.3017420768737793, 'learning_rate': 9.39748201438849e-05, 'epoch': 0.62} -{'loss': 0.4988, 'grad_norm': 2.6050562858581543, 'learning_rate': 9.39568345323741e-05, 'epoch': 0.62} -{'loss': 0.507, 'grad_norm': 2.686229944229126, 'learning_rate': 9.393884892086331e-05, 'epoch': 0.62} -{'loss': 0.5035, 'grad_norm': 1.1538865566253662, 'learning_rate': 9.392086330935252e-05, 'epoch': 0.62} -{'loss': 0.5046, 'grad_norm': 1.4939076900482178, 'learning_rate': 9.390287769784173e-05, 'epoch': 0.63} -{'loss': 0.509, 'grad_norm': 1.4480836391448975, 'learning_rate': 9.388489208633095e-05, 'epoch': 0.63} - 6%|██████ | 360/5570 [05:47<1:10:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49530228972435, 'eval_runtime': 1.562, 'eval_samples_per_second': 460.934, 'eval_steps_per_second': 3.841, 'epoch': 0.63} -{'loss': 0.5035, 'grad_norm': 1.6305686235427856, 'learning_rate': 9.386690647482015e-05, 'epoch': 0.63} -{'loss': 0.4933, 'grad_norm': 1.18296217918396, 'learning_rate': 9.384892086330935e-05, 'epoch': 0.63} -{'loss': 0.4933, 'grad_norm': 1.1838085651397705, 'learning_rate': 9.383093525179857e-05, 'epoch': 0.63} -{'loss': 0.493, 'grad_norm': 0.8469993472099304, 'learning_rate': 9.381294964028777e-05, 'epoch': 0.64} -{'loss': 0.5021, 'grad_norm': 1.5463719367980957, 'learning_rate': 9.379496402877699e-05, 'epoch': 0.64} -{'loss': 0.5065, 'grad_norm': 0.9550666809082031, 'learning_rate': 9.37769784172662e-05, 'epoch': 0.64} -{'loss': 0.4937, 'grad_norm': 1.8670388460159302, 'learning_rate': 9.375899280575539e-05, 'epoch': 0.64} -{'loss': 0.4991, 'grad_norm': 0.6289567351341248, 'learning_rate': 9.374100719424461e-05, 'epoch': 0.64} -{'loss': 0.4976, 'grad_norm': 2.4074642658233643, 'learning_rate': 9.372302158273382e-05, 'epoch': 0.64} -{'loss': 0.4847, 'grad_norm': 0.533948540687561, 'learning_rate': 9.370503597122301e-05, 'epoch': 0.65} - 7%|██████▏ | 370/5570 [05:57<1:10:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4934931993484497, 'eval_runtime': 1.5436, 'eval_samples_per_second': 466.431, 'eval_steps_per_second': 3.887, 'epoch': 0.65} -{'loss': 0.5011, 'grad_norm': 1.3432008028030396, 'learning_rate': 9.368705035971224e-05, 'epoch': 0.65} -{'loss': 0.5029, 'grad_norm': 0.7848444581031799, 'learning_rate': 9.366906474820144e-05, 'epoch': 0.65} -{'loss': 0.4959, 'grad_norm': 2.1896779537200928, 'learning_rate': 9.365107913669065e-05, 'epoch': 0.65} -{'loss': 0.503, 'grad_norm': 1.7294275760650635, 'learning_rate': 9.363309352517986e-05, 'epoch': 0.65} -{'loss': 0.507, 'grad_norm': 1.6162816286087036, 'learning_rate': 9.361510791366907e-05, 'epoch': 0.66} -{'loss': 0.4997, 'grad_norm': 1.7656482458114624, 'learning_rate': 9.359712230215827e-05, 'epoch': 0.66} -{'loss': 0.5019, 'grad_norm': 2.029280662536621, 'learning_rate': 9.357913669064748e-05, 'epoch': 0.66} -{'loss': 0.4966, 'grad_norm': 2.451259136199951, 'learning_rate': 9.35611510791367e-05, 'epoch': 0.66} -{'loss': 0.499, 'grad_norm': 1.7964664697647095, 'learning_rate': 9.35431654676259e-05, 'epoch': 0.66} -{'loss': 0.4961, 'grad_norm': 1.4016902446746826, 'learning_rate': 9.35251798561151e-05, 'epoch': 0.66} - 7%|██████▎ | 380/5570 [06:07<1:10:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49175864458084106, 'eval_runtime': 1.5509, 'eval_samples_per_second': 464.261, 'eval_steps_per_second': 3.869, 'epoch': 0.66} -{'loss': 0.5061, 'grad_norm': 1.1028107404708862, 'learning_rate': 9.350719424460433e-05, 'epoch': 0.67} -{'loss': 0.5032, 'grad_norm': 1.5028184652328491, 'learning_rate': 9.348920863309353e-05, 'epoch': 0.67} -{'loss': 0.4959, 'grad_norm': 1.0205837488174438, 'learning_rate': 9.347122302158274e-05, 'epoch': 0.67} -{'loss': 0.4905, 'grad_norm': 0.883804976940155, 'learning_rate': 9.345323741007195e-05, 'epoch': 0.67} -{'loss': 0.5123, 'grad_norm': 0.7147650122642517, 'learning_rate': 9.343525179856116e-05, 'epoch': 0.67} -{'loss': 0.5077, 'grad_norm': 1.8687468767166138, 'learning_rate': 9.341726618705036e-05, 'epoch': 0.68} -{'loss': 0.499, 'grad_norm': 0.9834564924240112, 'learning_rate': 9.339928057553957e-05, 'epoch': 0.68} -{'loss': 0.5116, 'grad_norm': 3.2706990242004395, 'learning_rate': 9.338129496402878e-05, 'epoch': 0.68} -{'loss': 0.4911, 'grad_norm': 2.5594465732574463, 'learning_rate': 9.336330935251799e-05, 'epoch': 0.68} -{'loss': 0.5069, 'grad_norm': 0.7607682943344116, 'learning_rate': 9.33453237410072e-05, 'epoch': 0.68} - 7%|██████▌ | 390/5570 [06:16<1:10:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49879443645477295, 'eval_runtime': 1.5427, 'eval_samples_per_second': 466.721, 'eval_steps_per_second': 3.889, 'epoch': 0.68} -{'loss': 0.5071, 'grad_norm': 4.815370082855225, 'learning_rate': 9.332733812949642e-05, 'epoch': 0.68} -{'loss': 0.5002, 'grad_norm': 3.8926305770874023, 'learning_rate': 9.330935251798561e-05, 'epoch': 0.69} -{'loss': 0.504, 'grad_norm': 0.7570722699165344, 'learning_rate': 9.329136690647482e-05, 'epoch': 0.69} -{'loss': 0.4957, 'grad_norm': 3.7782413959503174, 'learning_rate': 9.327338129496404e-05, 'epoch': 0.69} -{'loss': 0.5042, 'grad_norm': 4.6147637367248535, 'learning_rate': 9.325539568345323e-05, 'epoch': 0.69} -{'loss': 0.4999, 'grad_norm': 1.6953891515731812, 'learning_rate': 9.323741007194246e-05, 'epoch': 0.69} -{'loss': 0.4981, 'grad_norm': 2.4695842266082764, 'learning_rate': 9.321942446043166e-05, 'epoch': 0.69} -{'loss': 0.4948, 'grad_norm': 3.087214231491089, 'learning_rate': 9.320143884892086e-05, 'epoch': 0.7} -{'loss': 0.5016, 'grad_norm': 1.1915607452392578, 'learning_rate': 9.318345323741008e-05, 'epoch': 0.7} -{'loss': 0.5052, 'grad_norm': 2.886178970336914, 'learning_rate': 9.316546762589929e-05, 'epoch': 0.7} - 7%|██████▋ | 400/5570 [06:26<1:10:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49611741304397583, 'eval_runtime': 1.5555, 'eval_samples_per_second': 462.886, 'eval_steps_per_second': 3.857, 'epoch': 0.7} -{'loss': 0.4978, 'grad_norm': 2.3194422721862793, 'learning_rate': 9.31474820143885e-05, 'epoch': 0.7} -{'loss': 0.4991, 'grad_norm': 1.9788037538528442, 'learning_rate': 9.31294964028777e-05, 'epoch': 0.7} -{'loss': 0.5169, 'grad_norm': 3.063598394393921, 'learning_rate': 9.311151079136691e-05, 'epoch': 0.71} -{'loss': 0.5056, 'grad_norm': 4.759599685668945, 'learning_rate': 9.309352517985612e-05, 'epoch': 0.71} -{'loss': 0.5075, 'grad_norm': 2.202883720397949, 'learning_rate': 9.307553956834532e-05, 'epoch': 0.71} -{'loss': 0.4905, 'grad_norm': 1.0992162227630615, 'learning_rate': 9.305755395683455e-05, 'epoch': 0.71} -{'loss': 0.5008, 'grad_norm': 1.9698166847229004, 'learning_rate': 9.303956834532374e-05, 'epoch': 0.71} -{'loss': 0.5131, 'grad_norm': 2.381688117980957, 'learning_rate': 9.302158273381295e-05, 'epoch': 0.71} -{'loss': 0.5041, 'grad_norm': 1.116886019706726, 'learning_rate': 9.300359712230217e-05, 'epoch': 0.72} -{'loss': 0.4989, 'grad_norm': 2.59490704536438, 'learning_rate': 9.298561151079138e-05, 'epoch': 0.72} - 7%|██████▊ | 410/5570 [06:36<1:10:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49183323979377747, 'eval_runtime': 1.5416, 'eval_samples_per_second': 467.059, 'eval_steps_per_second': 3.892, 'epoch': 0.72} -{'loss': 0.4976, 'grad_norm': 1.6082531213760376, 'learning_rate': 9.296762589928057e-05, 'epoch': 0.72} -{'loss': 0.494, 'grad_norm': 1.2382625341415405, 'learning_rate': 9.294964028776979e-05, 'epoch': 0.72} -{'loss': 0.4966, 'grad_norm': 0.9800721406936646, 'learning_rate': 9.2931654676259e-05, 'epoch': 0.72} -{'loss': 0.5028, 'grad_norm': 1.5022298097610474, 'learning_rate': 9.291366906474821e-05, 'epoch': 0.73} -{'loss': 0.5022, 'grad_norm': 2.6013684272766113, 'learning_rate': 9.289568345323742e-05, 'epoch': 0.73} -{'loss': 0.5047, 'grad_norm': 1.2017370462417603, 'learning_rate': 9.287769784172662e-05, 'epoch': 0.73} -{'loss': 0.4982, 'grad_norm': 1.0744637250900269, 'learning_rate': 9.285971223021583e-05, 'epoch': 0.73} -{'loss': 0.5052, 'grad_norm': 2.8791542053222656, 'learning_rate': 9.284172661870504e-05, 'epoch': 0.73} -{'loss': 0.5078, 'grad_norm': 2.988506555557251, 'learning_rate': 9.282374100719426e-05, 'epoch': 0.73} -{'loss': 0.4993, 'grad_norm': 4.2060747146606445, 'learning_rate': 9.280575539568345e-05, 'epoch': 0.74} - 8%|███████ | 420/5570 [06:45<1:10:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4915553629398346, 'eval_runtime': 1.5559, 'eval_samples_per_second': 462.751, 'eval_steps_per_second': 3.856, 'epoch': 0.74} -{'loss': 0.5023, 'grad_norm': 1.6394885778427124, 'learning_rate': 9.278776978417266e-05, 'epoch': 0.74} -{'loss': 0.4833, 'grad_norm': 1.11422598361969, 'learning_rate': 9.276978417266188e-05, 'epoch': 0.74} -{'loss': 0.4965, 'grad_norm': 2.551408290863037, 'learning_rate': 9.275179856115108e-05, 'epoch': 0.74} -{'loss': 0.507, 'grad_norm': 0.9127557277679443, 'learning_rate': 9.27338129496403e-05, 'epoch': 0.74} -{'loss': 0.502, 'grad_norm': 3.7225594520568848, 'learning_rate': 9.27158273381295e-05, 'epoch': 0.75} -{'loss': 0.498, 'grad_norm': 3.8822309970855713, 'learning_rate': 9.26978417266187e-05, 'epoch': 0.75} -{'loss': 0.4903, 'grad_norm': 1.8326952457427979, 'learning_rate': 9.267985611510792e-05, 'epoch': 0.75} -{'loss': 0.4862, 'grad_norm': 1.877419114112854, 'learning_rate': 9.266187050359713e-05, 'epoch': 0.75} -{'loss': 0.5007, 'grad_norm': 1.214917540550232, 'learning_rate': 9.264388489208632e-05, 'epoch': 0.75} -{'loss': 0.4914, 'grad_norm': 1.1603922843933105, 'learning_rate': 9.262589928057554e-05, 'epoch': 0.75} - 8%|███████▏ | 430/5570 [06:55<1:09:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4921366274356842, 'eval_runtime': 1.5391, 'eval_samples_per_second': 467.795, 'eval_steps_per_second': 3.898, 'epoch': 0.75} -{'loss': 0.4893, 'grad_norm': 1.3991230726242065, 'learning_rate': 9.260791366906475e-05, 'epoch': 0.76} -{'loss': 0.5002, 'grad_norm': 0.8474904894828796, 'learning_rate': 9.258992805755396e-05, 'epoch': 0.76} -{'loss': 0.4956, 'grad_norm': 3.0609633922576904, 'learning_rate': 9.257194244604317e-05, 'epoch': 0.76} -{'loss': 0.5092, 'grad_norm': 4.885746002197266, 'learning_rate': 9.255395683453238e-05, 'epoch': 0.76} -{'loss': 0.5071, 'grad_norm': 3.088458776473999, 'learning_rate': 9.253597122302158e-05, 'epoch': 0.76} -{'loss': 0.5016, 'grad_norm': 2.9580602645874023, 'learning_rate': 9.251798561151079e-05, 'epoch': 0.76} -{'loss': 0.5007, 'grad_norm': 1.4339945316314697, 'learning_rate': 9.250000000000001e-05, 'epoch': 0.77} -{'loss': 0.4912, 'grad_norm': 0.8425238132476807, 'learning_rate': 9.248201438848922e-05, 'epoch': 0.77} -{'loss': 0.4994, 'grad_norm': 2.8773224353790283, 'learning_rate': 9.246402877697841e-05, 'epoch': 0.77} -{'loss': 0.4958, 'grad_norm': 1.8174232244491577, 'learning_rate': 9.244604316546764e-05, 'epoch': 0.77} - 8%|███████▎ | 440/5570 [07:04<1:09:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4935704469680786, 'eval_runtime': 1.5592, 'eval_samples_per_second': 461.766, 'eval_steps_per_second': 3.848, 'epoch': 0.77} -{'loss': 0.4952, 'grad_norm': 1.5524938106536865, 'learning_rate': 9.242805755395684e-05, 'epoch': 0.77} -{'loss': 0.5003, 'grad_norm': 1.2094892263412476, 'learning_rate': 9.241007194244605e-05, 'epoch': 0.78} -{'loss': 0.501, 'grad_norm': 1.5162588357925415, 'learning_rate': 9.239208633093526e-05, 'epoch': 0.78} -{'loss': 0.5056, 'grad_norm': 3.310458183288574, 'learning_rate': 9.237410071942447e-05, 'epoch': 0.78} -{'loss': 0.5182, 'grad_norm': 4.660567760467529, 'learning_rate': 9.235611510791367e-05, 'epoch': 0.78} -{'loss': 0.4873, 'grad_norm': 2.707535743713379, 'learning_rate': 9.233812949640288e-05, 'epoch': 0.78} -{'loss': 0.4987, 'grad_norm': 2.403862476348877, 'learning_rate': 9.232014388489209e-05, 'epoch': 0.78} -{'loss': 0.5079, 'grad_norm': 3.352055788040161, 'learning_rate': 9.23021582733813e-05, 'epoch': 0.79} -{'loss': 0.5033, 'grad_norm': 3.0246245861053467, 'learning_rate': 9.22841726618705e-05, 'epoch': 0.79} -{'loss': 0.4977, 'grad_norm': 0.8089385032653809, 'learning_rate': 9.226618705035973e-05, 'epoch': 0.79} - 8%|███████▌ | 450/5570 [07:14<1:09:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4949668049812317, 'eval_runtime': 1.5484, 'eval_samples_per_second': 464.996, 'eval_steps_per_second': 3.875, 'epoch': 0.79} -{'loss': 0.5068, 'grad_norm': 3.0656275749206543, 'learning_rate': 9.224820143884892e-05, 'epoch': 0.79} -{'loss': 0.5085, 'grad_norm': 2.9381861686706543, 'learning_rate': 9.223021582733813e-05, 'epoch': 0.79} -{'loss': 0.489, 'grad_norm': 0.721671462059021, 'learning_rate': 9.221223021582735e-05, 'epoch': 0.8} -{'loss': 0.4905, 'grad_norm': 1.9820140600204468, 'learning_rate': 9.219424460431654e-05, 'epoch': 0.8} -{'loss': 0.4931, 'grad_norm': 1.2051351070404053, 'learning_rate': 9.217625899280576e-05, 'epoch': 0.8} -{'loss': 0.4921, 'grad_norm': 2.136417865753174, 'learning_rate': 9.215827338129497e-05, 'epoch': 0.8} -{'loss': 0.4832, 'grad_norm': 1.8848512172698975, 'learning_rate': 9.214028776978417e-05, 'epoch': 0.8} -{'loss': 0.5045, 'grad_norm': 1.0348536968231201, 'learning_rate': 9.212230215827339e-05, 'epoch': 0.8} -{'loss': 0.4972, 'grad_norm': 4.87538480758667, 'learning_rate': 9.21043165467626e-05, 'epoch': 0.81} -{'loss': 0.4867, 'grad_norm': 3.8463799953460693, 'learning_rate': 9.20863309352518e-05, 'epoch': 0.81} - 8%|███████▋ | 460/5570 [07:23<1:09:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49196767807006836, 'eval_runtime': 1.5404, 'eval_samples_per_second': 467.416, 'eval_steps_per_second': 3.895, 'epoch': 0.81} -{'loss': 0.509, 'grad_norm': 2.622652530670166, 'learning_rate': 9.206834532374101e-05, 'epoch': 0.81} -{'loss': 0.5085, 'grad_norm': 1.5149424076080322, 'learning_rate': 9.205035971223022e-05, 'epoch': 0.81} -{'loss': 0.5031, 'grad_norm': 3.310518264770508, 'learning_rate': 9.203237410071943e-05, 'epoch': 0.81} -{'loss': 0.5029, 'grad_norm': 2.821610927581787, 'learning_rate': 9.201438848920863e-05, 'epoch': 0.82} -{'loss': 0.493, 'grad_norm': 1.0714335441589355, 'learning_rate': 9.199640287769786e-05, 'epoch': 0.82} -{'loss': 0.4945, 'grad_norm': 2.283452272415161, 'learning_rate': 9.197841726618705e-05, 'epoch': 0.82} -{'loss': 0.4913, 'grad_norm': 1.9585723876953125, 'learning_rate': 9.196043165467626e-05, 'epoch': 0.82} -{'loss': 0.4873, 'grad_norm': 1.9439036846160889, 'learning_rate': 9.194244604316548e-05, 'epoch': 0.82} -{'loss': 0.5006, 'grad_norm': 3.2889506816864014, 'learning_rate': 9.192446043165469e-05, 'epoch': 0.82} -{'loss': 0.5053, 'grad_norm': 1.4039312601089478, 'learning_rate': 9.190647482014388e-05, 'epoch': 0.83} - 8%|███████▊ | 470/5570 [07:33<1:09:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49215027689933777, 'eval_runtime': 1.5344, 'eval_samples_per_second': 469.244, 'eval_steps_per_second': 3.91, 'epoch': 0.83} -{'loss': 0.4947, 'grad_norm': 1.8359140157699585, 'learning_rate': 9.18884892086331e-05, 'epoch': 0.83} -{'loss': 0.4957, 'grad_norm': 4.298157215118408, 'learning_rate': 9.187050359712231e-05, 'epoch': 0.83} -{'loss': 0.5017, 'grad_norm': 2.2660129070281982, 'learning_rate': 9.185251798561152e-05, 'epoch': 0.83} -{'loss': 0.5005, 'grad_norm': 2.263371229171753, 'learning_rate': 9.183453237410072e-05, 'epoch': 0.83} -{'loss': 0.5009, 'grad_norm': 2.194744110107422, 'learning_rate': 9.181654676258993e-05, 'epoch': 0.83} -{'loss': 0.4902, 'grad_norm': 1.0220997333526611, 'learning_rate': 9.179856115107914e-05, 'epoch': 0.84} -{'loss': 0.4837, 'grad_norm': 2.068011522293091, 'learning_rate': 9.178057553956835e-05, 'epoch': 0.84} -{'loss': 0.4802, 'grad_norm': 1.6267257928848267, 'learning_rate': 9.176258992805757e-05, 'epoch': 0.84} -{'loss': 0.4897, 'grad_norm': 1.193566918373108, 'learning_rate': 9.174460431654676e-05, 'epoch': 0.84} -{'loss': 0.4963, 'grad_norm': 2.974390983581543, 'learning_rate': 9.172661870503597e-05, 'epoch': 0.84} - 9%|████████ | 480/5570 [07:43<1:08:46, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49384334683418274, 'eval_runtime': 1.5535, 'eval_samples_per_second': 463.475, 'eval_steps_per_second': 3.862, 'epoch': 0.84} -{'loss': 0.5015, 'grad_norm': 4.14257287979126, 'learning_rate': 9.170863309352519e-05, 'epoch': 0.85} -{'loss': 0.4851, 'grad_norm': 1.877268671989441, 'learning_rate': 9.169064748201439e-05, 'epoch': 0.85} -{'loss': 0.4964, 'grad_norm': 1.3006978034973145, 'learning_rate': 9.167266187050361e-05, 'epoch': 0.85} -{'loss': 0.5, 'grad_norm': 1.8532962799072266, 'learning_rate': 9.165467625899282e-05, 'epoch': 0.85} -{'loss': 0.4964, 'grad_norm': 1.991502046585083, 'learning_rate': 9.163669064748201e-05, 'epoch': 0.85} -{'loss': 0.4986, 'grad_norm': 0.6087399125099182, 'learning_rate': 9.161870503597123e-05, 'epoch': 0.85} -{'loss': 0.4839, 'grad_norm': 2.1957833766937256, 'learning_rate': 9.160071942446044e-05, 'epoch': 0.86} -{'loss': 0.4917, 'grad_norm': 0.9820429086685181, 'learning_rate': 9.158273381294965e-05, 'epoch': 0.86} -{'loss': 0.4962, 'grad_norm': 2.2217066287994385, 'learning_rate': 9.156474820143885e-05, 'epoch': 0.86} -{'loss': 0.4907, 'grad_norm': 2.067143440246582, 'learning_rate': 9.154676258992806e-05, 'epoch': 0.86} - 9%|████████▏ | 490/5570 [07:52<1:08:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48824378848075867, 'eval_runtime': 1.5399, 'eval_samples_per_second': 467.552, 'eval_steps_per_second': 3.896, 'epoch': 0.86} -{'loss': 0.5065, 'grad_norm': 1.9988691806793213, 'learning_rate': 9.152877697841727e-05, 'epoch': 0.86} -{'loss': 0.4926, 'grad_norm': 3.4298007488250732, 'learning_rate': 9.151079136690648e-05, 'epoch': 0.87} -{'loss': 0.4874, 'grad_norm': 1.2715305089950562, 'learning_rate': 9.149280575539568e-05, 'epoch': 0.87} -{'loss': 0.4801, 'grad_norm': 0.7790345549583435, 'learning_rate': 9.147482014388489e-05, 'epoch': 0.87} -{'loss': 0.4864, 'grad_norm': 1.3432320356369019, 'learning_rate': 9.14568345323741e-05, 'epoch': 0.87} -{'loss': 0.4883, 'grad_norm': 0.7822831273078918, 'learning_rate': 9.143884892086332e-05, 'epoch': 0.87} -{'loss': 0.4838, 'grad_norm': 0.8390897512435913, 'learning_rate': 9.142086330935253e-05, 'epoch': 0.87} -{'loss': 0.498, 'grad_norm': 1.1183537244796753, 'learning_rate': 9.140287769784172e-05, 'epoch': 0.88} -{'loss': 0.4902, 'grad_norm': 0.939974308013916, 'learning_rate': 9.138489208633094e-05, 'epoch': 0.88} -{'loss': 0.5074, 'grad_norm': 0.9134363532066345, 'learning_rate': 9.136690647482015e-05, 'epoch': 0.88} - 9%|████████▎ | 500/5570 [08:02<1:14:51, 1.13it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.488172322511673, 'eval_runtime': 1.5439, 'eval_samples_per_second': 466.351, 'eval_steps_per_second': 3.886, 'epoch': 0.88} -{'loss': 0.4681, 'grad_norm': 2.6088337898254395, 'learning_rate': 9.134892086330936e-05, 'epoch': 0.88} -{'loss': 0.4893, 'grad_norm': 0.9735940098762512, 'learning_rate': 9.133093525179857e-05, 'epoch': 0.88} -{'loss': 0.4882, 'grad_norm': 1.9972671270370483, 'learning_rate': 9.131294964028778e-05, 'epoch': 0.89} -{'loss': 0.4884, 'grad_norm': 0.9890180826187134, 'learning_rate': 9.129496402877698e-05, 'epoch': 0.89} -{'loss': 0.4935, 'grad_norm': 1.3769166469573975, 'learning_rate': 9.127697841726619e-05, 'epoch': 0.89} -{'loss': 0.4894, 'grad_norm': 0.9327371120452881, 'learning_rate': 9.125899280575541e-05, 'epoch': 0.89} -{'loss': 0.4949, 'grad_norm': 1.064316749572754, 'learning_rate': 9.12410071942446e-05, 'epoch': 0.89} -{'loss': 0.4924, 'grad_norm': 1.11374831199646, 'learning_rate': 9.122302158273381e-05, 'epoch': 0.89} -{'loss': 0.5032, 'grad_norm': 1.9053478240966797, 'learning_rate': 9.120503597122303e-05, 'epoch': 0.9} -{'loss': 0.5051, 'grad_norm': 0.8637843728065491, 'learning_rate': 9.118705035971223e-05, 'epoch': 0.9} - 9%|████████▌ | 510/5570 [08:12<1:09:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49193158745765686, 'eval_runtime': 1.5502, 'eval_samples_per_second': 464.455, 'eval_steps_per_second': 3.87, 'epoch': 0.9} -{'loss': 0.4888, 'grad_norm': 4.026848316192627, 'learning_rate': 9.116906474820144e-05, 'epoch': 0.9} -{'loss': 0.4771, 'grad_norm': 2.696545124053955, 'learning_rate': 9.115107913669066e-05, 'epoch': 0.9} -{'loss': 0.4935, 'grad_norm': 0.9902104735374451, 'learning_rate': 9.113309352517985e-05, 'epoch': 0.9} -{'loss': 0.4963, 'grad_norm': 1.1810202598571777, 'learning_rate': 9.111510791366907e-05, 'epoch': 0.9} -{'loss': 0.4964, 'grad_norm': 1.3240779638290405, 'learning_rate': 9.109712230215828e-05, 'epoch': 0.91} -{'loss': 0.493, 'grad_norm': 2.0901176929473877, 'learning_rate': 9.107913669064748e-05, 'epoch': 0.91} -{'loss': 0.4858, 'grad_norm': 0.766133189201355, 'learning_rate': 9.10611510791367e-05, 'epoch': 0.91} -{'loss': 0.5039, 'grad_norm': 0.8887266516685486, 'learning_rate': 9.10431654676259e-05, 'epoch': 0.91} -{'loss': 0.4839, 'grad_norm': 0.6700563430786133, 'learning_rate': 9.102517985611511e-05, 'epoch': 0.91} -{'loss': 0.4914, 'grad_norm': 0.7676511406898499, 'learning_rate': 9.100719424460432e-05, 'epoch': 0.92} - 9%|████████▋ | 520/5570 [08:21<1:08:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48688018321990967, 'eval_runtime': 1.5523, 'eval_samples_per_second': 463.838, 'eval_steps_per_second': 3.865, 'epoch': 0.92} -{'loss': 0.4884, 'grad_norm': 0.7786521315574646, 'learning_rate': 9.098920863309353e-05, 'epoch': 0.92} -{'loss': 0.4865, 'grad_norm': 1.2699298858642578, 'learning_rate': 9.097122302158274e-05, 'epoch': 0.92} -{'loss': 0.4863, 'grad_norm': 1.6453734636306763, 'learning_rate': 9.095323741007194e-05, 'epoch': 0.92} -{'loss': 0.4923, 'grad_norm': 1.0576282739639282, 'learning_rate': 9.093525179856116e-05, 'epoch': 0.92} -{'loss': 0.4948, 'grad_norm': 1.0445481538772583, 'learning_rate': 9.091726618705036e-05, 'epoch': 0.92} -{'loss': 0.4942, 'grad_norm': 0.8831140995025635, 'learning_rate': 9.089928057553957e-05, 'epoch': 0.93} -{'loss': 0.4905, 'grad_norm': 2.6381609439849854, 'learning_rate': 9.088129496402879e-05, 'epoch': 0.93} -{'loss': 0.4922, 'grad_norm': 1.1322579383850098, 'learning_rate': 9.0863309352518e-05, 'epoch': 0.93} -{'loss': 0.497, 'grad_norm': 3.564039945602417, 'learning_rate': 9.084532374100719e-05, 'epoch': 0.93} -{'loss': 0.4831, 'grad_norm': 2.814596176147461, 'learning_rate': 9.082733812949641e-05, 'epoch': 0.93} - 10%|████████▊ | 530/5570 [08:31<1:08:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4912658631801605, 'eval_runtime': 1.5281, 'eval_samples_per_second': 471.17, 'eval_steps_per_second': 3.926, 'epoch': 0.93} -{'loss': 0.4911, 'grad_norm': 1.1281566619873047, 'learning_rate': 9.080935251798562e-05, 'epoch': 0.94} -{'loss': 0.4927, 'grad_norm': 2.9549849033355713, 'learning_rate': 9.079136690647483e-05, 'epoch': 0.94} -{'loss': 0.5129, 'grad_norm': 2.961373805999756, 'learning_rate': 9.077338129496403e-05, 'epoch': 0.94} -{'loss': 0.5015, 'grad_norm': 1.0234277248382568, 'learning_rate': 9.075539568345324e-05, 'epoch': 0.94} -{'loss': 0.4893, 'grad_norm': 1.01473069190979, 'learning_rate': 9.073741007194245e-05, 'epoch': 0.94} -{'loss': 0.505, 'grad_norm': 1.8891355991363525, 'learning_rate': 9.071942446043166e-05, 'epoch': 0.94} -{'loss': 0.4981, 'grad_norm': 1.5180803537368774, 'learning_rate': 9.070143884892088e-05, 'epoch': 0.95} -{'loss': 0.4903, 'grad_norm': 2.9219980239868164, 'learning_rate': 9.068345323741007e-05, 'epoch': 0.95} -{'loss': 0.5087, 'grad_norm': 3.4817585945129395, 'learning_rate': 9.066546762589928e-05, 'epoch': 0.95} -{'loss': 0.5023, 'grad_norm': 2.070019245147705, 'learning_rate': 9.06474820143885e-05, 'epoch': 0.95} - 10%|█████████ | 540/5570 [08:40<1:07:38, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4945598542690277, 'eval_runtime': 1.5351, 'eval_samples_per_second': 469.022, 'eval_steps_per_second': 3.909, 'epoch': 0.95} -{'loss': 0.4962, 'grad_norm': 1.299428939819336, 'learning_rate': 9.06294964028777e-05, 'epoch': 0.95} -{'loss': 0.502, 'grad_norm': 2.999950885772705, 'learning_rate': 9.061151079136692e-05, 'epoch': 0.96} -{'loss': 0.4995, 'grad_norm': 2.314417600631714, 'learning_rate': 9.059352517985612e-05, 'epoch': 0.96} -{'loss': 0.4925, 'grad_norm': 1.7509247064590454, 'learning_rate': 9.057553956834532e-05, 'epoch': 0.96} -{'loss': 0.5008, 'grad_norm': 2.3876750469207764, 'learning_rate': 9.055755395683454e-05, 'epoch': 0.96} -{'loss': 0.5087, 'grad_norm': 4.1188645362854, 'learning_rate': 9.053956834532375e-05, 'epoch': 0.96} -{'loss': 0.5129, 'grad_norm': 3.064558982849121, 'learning_rate': 9.052158273381296e-05, 'epoch': 0.96} -{'loss': 0.4829, 'grad_norm': 2.5089006423950195, 'learning_rate': 9.050359712230216e-05, 'epoch': 0.97} -{'loss': 0.4991, 'grad_norm': 1.3803791999816895, 'learning_rate': 9.048561151079137e-05, 'epoch': 0.97} -{'loss': 0.4921, 'grad_norm': 1.2319427728652954, 'learning_rate': 9.046762589928058e-05, 'epoch': 0.97} - 10%|█████████▏ | 550/5570 [08:50<1:08:48, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48698943853378296, 'eval_runtime': 1.5521, 'eval_samples_per_second': 463.897, 'eval_steps_per_second': 3.866, 'epoch': 0.97} -{'loss': 0.4844, 'grad_norm': 2.7712697982788086, 'learning_rate': 9.044964028776979e-05, 'epoch': 0.97} -{'loss': 0.4819, 'grad_norm': 1.2811022996902466, 'learning_rate': 9.0431654676259e-05, 'epoch': 0.97} -{'loss': 0.4912, 'grad_norm': 1.2278330326080322, 'learning_rate': 9.04136690647482e-05, 'epoch': 0.97} -{'loss': 0.4921, 'grad_norm': 0.6601991653442383, 'learning_rate': 9.039568345323741e-05, 'epoch': 0.98} -{'loss': 0.4885, 'grad_norm': 2.0465095043182373, 'learning_rate': 9.037769784172663e-05, 'epoch': 0.98} -{'loss': 0.4849, 'grad_norm': 3.521334648132324, 'learning_rate': 9.035971223021584e-05, 'epoch': 0.98} -{'loss': 0.4985, 'grad_norm': 2.074486017227173, 'learning_rate': 9.034172661870503e-05, 'epoch': 0.98} -{'loss': 0.4932, 'grad_norm': 2.0999691486358643, 'learning_rate': 9.032374100719425e-05, 'epoch': 0.98} -{'loss': 0.4968, 'grad_norm': 1.1167186498641968, 'learning_rate': 9.030575539568346e-05, 'epoch': 0.99} -{'loss': 0.4847, 'grad_norm': 1.6638596057891846, 'learning_rate': 9.028776978417267e-05, 'epoch': 0.99} - 10%|█████████▎ | 560/5570 [08:59<1:02:20, 1.34it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4878595173358917, 'eval_runtime': 1.563, 'eval_samples_per_second': 460.644, 'eval_steps_per_second': 3.839, 'epoch': 0.99} -{'loss': 0.4875, 'grad_norm': 2.4138669967651367, 'learning_rate': 9.026978417266188e-05, 'epoch': 0.99} -{'loss': 0.4982, 'grad_norm': 1.5999442338943481, 'learning_rate': 9.025179856115108e-05, 'epoch': 0.99} -{'loss': 0.4979, 'grad_norm': 2.0560219287872314, 'learning_rate': 9.023381294964029e-05, 'epoch': 0.99} -{'loss': 0.4997, 'grad_norm': 2.033372163772583, 'learning_rate': 9.02158273381295e-05, 'epoch': 0.99} -{'loss': 0.4904, 'grad_norm': 1.2471659183502197, 'learning_rate': 9.019784172661872e-05, 'epoch': 1.0} -{'loss': 0.4918, 'grad_norm': 1.911370038986206, 'learning_rate': 9.017985611510792e-05, 'epoch': 1.0} -{'loss': 0.4962, 'grad_norm': 4.172268867492676, 'learning_rate': 9.016187050359712e-05, 'epoch': 1.0} -{'loss': 0.485, 'grad_norm': 1.548406720161438, 'learning_rate': 9.014388489208634e-05, 'epoch': 1.0} -{'loss': 0.4852, 'grad_norm': 1.9431564807891846, 'learning_rate': 9.012589928057554e-05, 'epoch': 1.0} -{'loss': 0.4817, 'grad_norm': 1.126434087753296, 'learning_rate': 9.010791366906475e-05, 'epoch': 1.01} - 10%|█████████▌ | 570/5570 [09:08<1:08:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48759379982948303, 'eval_runtime': 1.5421, 'eval_samples_per_second': 466.906, 'eval_steps_per_second': 3.891, 'epoch': 1.01} -{'loss': 0.4957, 'grad_norm': 2.036956310272217, 'learning_rate': 9.008992805755397e-05, 'epoch': 1.01} -{'loss': 0.4898, 'grad_norm': 1.255472183227539, 'learning_rate': 9.007194244604316e-05, 'epoch': 1.01} -{'loss': 0.4834, 'grad_norm': 1.114953637123108, 'learning_rate': 9.005395683453238e-05, 'epoch': 1.01} -{'loss': 0.4883, 'grad_norm': 1.1037307977676392, 'learning_rate': 9.003597122302159e-05, 'epoch': 1.01} -{'loss': 0.4802, 'grad_norm': 1.9178324937820435, 'learning_rate': 9.001798561151078e-05, 'epoch': 1.01} -{'loss': 0.4885, 'grad_norm': 1.607006549835205, 'learning_rate': 9e-05, 'epoch': 1.02} -{'loss': 0.4887, 'grad_norm': 2.6853344440460205, 'learning_rate': 8.998201438848921e-05, 'epoch': 1.02} -{'loss': 0.4835, 'grad_norm': 3.0931556224823, 'learning_rate': 8.996402877697842e-05, 'epoch': 1.02} -{'loss': 0.4848, 'grad_norm': 0.9760980010032654, 'learning_rate': 8.994604316546763e-05, 'epoch': 1.02} -{'loss': 0.4903, 'grad_norm': 3.063168525695801, 'learning_rate': 8.992805755395684e-05, 'epoch': 1.02} - 10%|█████████▋ | 580/5570 [09:18<1:08:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.494223028421402, 'eval_runtime': 1.5255, 'eval_samples_per_second': 471.977, 'eval_steps_per_second': 3.933, 'epoch': 1.02} -{'loss': 0.4973, 'grad_norm': 4.222944736480713, 'learning_rate': 8.991007194244604e-05, 'epoch': 1.03} -{'loss': 0.5028, 'grad_norm': 4.007682800292969, 'learning_rate': 8.989208633093525e-05, 'epoch': 1.03} -{'loss': 0.4929, 'grad_norm': 1.2204965353012085, 'learning_rate': 8.987410071942447e-05, 'epoch': 1.03} -{'loss': 0.5038, 'grad_norm': 2.935631275177002, 'learning_rate': 8.985611510791368e-05, 'epoch': 1.03} -{'loss': 0.5009, 'grad_norm': 3.3111062049865723, 'learning_rate': 8.983812949640288e-05, 'epoch': 1.03} -{'loss': 0.5192, 'grad_norm': 2.6119863986968994, 'learning_rate': 8.98201438848921e-05, 'epoch': 1.03} -{'loss': 0.5173, 'grad_norm': 2.7171554565429688, 'learning_rate': 8.98021582733813e-05, 'epoch': 1.04} -{'loss': 0.4895, 'grad_norm': 2.7076492309570312, 'learning_rate': 8.97841726618705e-05, 'epoch': 1.04} -{'loss': 0.5, 'grad_norm': 0.9115736484527588, 'learning_rate': 8.976618705035972e-05, 'epoch': 1.04} -{'loss': 0.5033, 'grad_norm': 0.9548577666282654, 'learning_rate': 8.974820143884893e-05, 'epoch': 1.04} - 11%|█████████▊ | 590/5570 [09:28<1:07:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48790687322616577, 'eval_runtime': 1.5415, 'eval_samples_per_second': 467.065, 'eval_steps_per_second': 3.892, 'epoch': 1.04} -{'loss': 0.4874, 'grad_norm': 1.7179142236709595, 'learning_rate': 8.973021582733813e-05, 'epoch': 1.04} -{'loss': 0.493, 'grad_norm': 1.018203854560852, 'learning_rate': 8.971223021582734e-05, 'epoch': 1.04} -{'loss': 0.4949, 'grad_norm': 2.0810017585754395, 'learning_rate': 8.969424460431655e-05, 'epoch': 1.05} -{'loss': 0.4924, 'grad_norm': 1.446265459060669, 'learning_rate': 8.967625899280576e-05, 'epoch': 1.05} -{'loss': 0.4815, 'grad_norm': 0.9011736512184143, 'learning_rate': 8.965827338129497e-05, 'epoch': 1.05} -{'loss': 0.4857, 'grad_norm': 0.635773241519928, 'learning_rate': 8.964028776978419e-05, 'epoch': 1.05} -{'loss': 0.4807, 'grad_norm': 2.6231958866119385, 'learning_rate': 8.962230215827338e-05, 'epoch': 1.05} -{'loss': 0.4874, 'grad_norm': 1.1644092798233032, 'learning_rate': 8.960431654676259e-05, 'epoch': 1.06} -{'loss': 0.4868, 'grad_norm': 1.889587163925171, 'learning_rate': 8.958633093525181e-05, 'epoch': 1.06} -{'loss': 0.4949, 'grad_norm': 2.0607528686523438, 'learning_rate': 8.9568345323741e-05, 'epoch': 1.06} - 11%|██████████ | 600/5570 [09:37<1:07:35, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48502790927886963, 'eval_runtime': 1.5521, 'eval_samples_per_second': 463.888, 'eval_steps_per_second': 3.866, 'epoch': 1.06} -{'loss': 0.4837, 'grad_norm': 1.227922797203064, 'learning_rate': 8.955035971223023e-05, 'epoch': 1.06} -{'loss': 0.4876, 'grad_norm': 1.5677777528762817, 'learning_rate': 8.953237410071943e-05, 'epoch': 1.06} -{'loss': 0.4969, 'grad_norm': 1.4677984714508057, 'learning_rate': 8.951438848920863e-05, 'epoch': 1.06} -{'loss': 0.4922, 'grad_norm': 1.0227546691894531, 'learning_rate': 8.949640287769785e-05, 'epoch': 1.07} -{'loss': 0.4849, 'grad_norm': 1.6801153421401978, 'learning_rate': 8.947841726618706e-05, 'epoch': 1.07} -{'loss': 0.4941, 'grad_norm': 1.0606201887130737, 'learning_rate': 8.946043165467626e-05, 'epoch': 1.07} -{'loss': 0.4799, 'grad_norm': 1.7228883504867554, 'learning_rate': 8.944244604316547e-05, 'epoch': 1.07} -{'loss': 0.4968, 'grad_norm': 1.579755425453186, 'learning_rate': 8.942446043165468e-05, 'epoch': 1.07} -{'loss': 0.4921, 'grad_norm': 1.4467744827270508, 'learning_rate': 8.940647482014389e-05, 'epoch': 1.08} -{'loss': 0.4875, 'grad_norm': 1.2013146877288818, 'learning_rate': 8.93884892086331e-05, 'epoch': 1.08} - 11%|██████████▏ | 610/5570 [09:47<1:07:20, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4854152202606201, 'eval_runtime': 1.5343, 'eval_samples_per_second': 469.274, 'eval_steps_per_second': 3.911, 'epoch': 1.08} -{'loss': 0.479, 'grad_norm': 2.325957775115967, 'learning_rate': 8.93705035971223e-05, 'epoch': 1.08} -{'loss': 0.492, 'grad_norm': 1.587125539779663, 'learning_rate': 8.935251798561151e-05, 'epoch': 1.08} -{'loss': 0.4899, 'grad_norm': 1.111229419708252, 'learning_rate': 8.933453237410072e-05, 'epoch': 1.08} -{'loss': 0.4907, 'grad_norm': 2.931671619415283, 'learning_rate': 8.931654676258994e-05, 'epoch': 1.08} -{'loss': 0.4813, 'grad_norm': 2.2286934852600098, 'learning_rate': 8.929856115107915e-05, 'epoch': 1.09} -{'loss': 0.4889, 'grad_norm': 1.869768738746643, 'learning_rate': 8.928057553956834e-05, 'epoch': 1.09} -{'loss': 0.4928, 'grad_norm': 1.3810834884643555, 'learning_rate': 8.926258992805756e-05, 'epoch': 1.09} -{'loss': 0.4937, 'grad_norm': 1.9298425912857056, 'learning_rate': 8.924460431654677e-05, 'epoch': 1.09} -{'loss': 0.4986, 'grad_norm': 1.104472279548645, 'learning_rate': 8.922661870503598e-05, 'epoch': 1.09} -{'loss': 0.486, 'grad_norm': 1.3207240104675293, 'learning_rate': 8.920863309352519e-05, 'epoch': 1.1} - 11%|██████████▎ | 620/5570 [09:56<1:06:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4839863181114197, 'eval_runtime': 1.5424, 'eval_samples_per_second': 466.808, 'eval_steps_per_second': 3.89, 'epoch': 1.1} -{'loss': 0.4898, 'grad_norm': 1.169920563697815, 'learning_rate': 8.919064748201439e-05, 'epoch': 1.1} -{'loss': 0.4808, 'grad_norm': 0.7525074481964111, 'learning_rate': 8.91726618705036e-05, 'epoch': 1.1} -{'loss': 0.4947, 'grad_norm': 2.6380703449249268, 'learning_rate': 8.915467625899281e-05, 'epoch': 1.1} -{'loss': 0.4858, 'grad_norm': 0.7631298303604126, 'learning_rate': 8.913669064748203e-05, 'epoch': 1.1} -{'loss': 0.4969, 'grad_norm': 0.7722359299659729, 'learning_rate': 8.911870503597122e-05, 'epoch': 1.1} -{'loss': 0.4932, 'grad_norm': 2.2982370853424072, 'learning_rate': 8.910071942446043e-05, 'epoch': 1.11} -{'loss': 0.4962, 'grad_norm': 4.156426906585693, 'learning_rate': 8.908273381294965e-05, 'epoch': 1.11} -{'loss': 0.4904, 'grad_norm': 2.249178409576416, 'learning_rate': 8.906474820143885e-05, 'epoch': 1.11} -{'loss': 0.4851, 'grad_norm': 1.2415968179702759, 'learning_rate': 8.904676258992805e-05, 'epoch': 1.11} -{'loss': 0.4833, 'grad_norm': 2.657522439956665, 'learning_rate': 8.902877697841728e-05, 'epoch': 1.11} - 11%|██████████▌ | 630/5570 [10:06<1:07:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48356932401657104, 'eval_runtime': 1.5469, 'eval_samples_per_second': 465.443, 'eval_steps_per_second': 3.879, 'epoch': 1.11} -{'loss': 0.4883, 'grad_norm': 1.9611603021621704, 'learning_rate': 8.901079136690647e-05, 'epoch': 1.11} -{'loss': 0.4859, 'grad_norm': 1.8875257968902588, 'learning_rate': 8.899280575539569e-05, 'epoch': 1.12} -{'loss': 0.4928, 'grad_norm': 1.0067265033721924, 'learning_rate': 8.89748201438849e-05, 'epoch': 1.12} -{'loss': 0.4776, 'grad_norm': 2.8848516941070557, 'learning_rate': 8.895683453237411e-05, 'epoch': 1.12} -{'loss': 0.4946, 'grad_norm': 2.9905660152435303, 'learning_rate': 8.893884892086331e-05, 'epoch': 1.12} -{'loss': 0.478, 'grad_norm': 0.7090295553207397, 'learning_rate': 8.892086330935252e-05, 'epoch': 1.12} -{'loss': 0.4896, 'grad_norm': 2.6615381240844727, 'learning_rate': 8.890287769784173e-05, 'epoch': 1.13} -{'loss': 0.4962, 'grad_norm': 1.292676329612732, 'learning_rate': 8.888489208633094e-05, 'epoch': 1.13} -{'loss': 0.5036, 'grad_norm': 1.2873793840408325, 'learning_rate': 8.886690647482015e-05, 'epoch': 1.13} -{'loss': 0.4856, 'grad_norm': 2.5192840099334717, 'learning_rate': 8.884892086330935e-05, 'epoch': 1.13} - 11%|██████████▋ | 640/5570 [10:15<1:07:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.487416535615921, 'eval_runtime': 1.5523, 'eval_samples_per_second': 463.827, 'eval_steps_per_second': 3.865, 'epoch': 1.13} -{'loss': 0.4814, 'grad_norm': 1.8590598106384277, 'learning_rate': 8.883093525179856e-05, 'epoch': 1.13} -{'loss': 0.4998, 'grad_norm': 2.1342644691467285, 'learning_rate': 8.881294964028778e-05, 'epoch': 1.13} -{'loss': 0.494, 'grad_norm': 2.832350015640259, 'learning_rate': 8.879496402877699e-05, 'epoch': 1.14} -{'loss': 0.4832, 'grad_norm': 2.831037759780884, 'learning_rate': 8.877697841726618e-05, 'epoch': 1.14} -{'loss': 0.495, 'grad_norm': 1.9547327756881714, 'learning_rate': 8.87589928057554e-05, 'epoch': 1.14} -{'loss': 0.4983, 'grad_norm': 1.9369431734085083, 'learning_rate': 8.874100719424461e-05, 'epoch': 1.14} -{'loss': 0.4913, 'grad_norm': 3.01749587059021, 'learning_rate': 8.872302158273381e-05, 'epoch': 1.14} -{'loss': 0.4968, 'grad_norm': 2.7882602214813232, 'learning_rate': 8.870503597122303e-05, 'epoch': 1.15} -{'loss': 0.4971, 'grad_norm': 4.604641437530518, 'learning_rate': 8.868705035971224e-05, 'epoch': 1.15} -{'loss': 0.4928, 'grad_norm': 1.7196086645126343, 'learning_rate': 8.866906474820144e-05, 'epoch': 1.15} - 12%|██████████▊ | 650/5570 [10:25<1:07:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4850172698497772, 'eval_runtime': 1.5532, 'eval_samples_per_second': 463.555, 'eval_steps_per_second': 3.863, 'epoch': 1.15} -{'loss': 0.4885, 'grad_norm': 3.5356905460357666, 'learning_rate': 8.865107913669065e-05, 'epoch': 1.15} -{'loss': 0.5037, 'grad_norm': 3.2248940467834473, 'learning_rate': 8.863309352517986e-05, 'epoch': 1.15} -{'loss': 0.4886, 'grad_norm': 3.5766851902008057, 'learning_rate': 8.861510791366907e-05, 'epoch': 1.15} -{'loss': 0.4871, 'grad_norm': 3.05338978767395, 'learning_rate': 8.859712230215827e-05, 'epoch': 1.16} -{'loss': 0.4925, 'grad_norm': 3.986424684524536, 'learning_rate': 8.85791366906475e-05, 'epoch': 1.16} -{'loss': 0.4843, 'grad_norm': 3.3357770442962646, 'learning_rate': 8.856115107913669e-05, 'epoch': 1.16} -{'loss': 0.4921, 'grad_norm': 2.6246559619903564, 'learning_rate': 8.85431654676259e-05, 'epoch': 1.16} -{'loss': 0.4926, 'grad_norm': 2.8054392337799072, 'learning_rate': 8.852517985611512e-05, 'epoch': 1.16} -{'loss': 0.4906, 'grad_norm': 0.7181057929992676, 'learning_rate': 8.850719424460431e-05, 'epoch': 1.17} -{'loss': 0.4898, 'grad_norm': 1.977980136871338, 'learning_rate': 8.848920863309353e-05, 'epoch': 1.17} - 12%|███████████ | 660/5570 [10:35<1:06:02, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4817889332771301, 'eval_runtime': 1.5329, 'eval_samples_per_second': 469.691, 'eval_steps_per_second': 3.914, 'epoch': 1.17} -{'loss': 0.4941, 'grad_norm': 2.975001335144043, 'learning_rate': 8.847122302158274e-05, 'epoch': 1.17} -{'loss': 0.4928, 'grad_norm': 0.6674524545669556, 'learning_rate': 8.845323741007194e-05, 'epoch': 1.17} -{'loss': 0.4869, 'grad_norm': 1.7963141202926636, 'learning_rate': 8.843525179856116e-05, 'epoch': 1.17} -{'loss': 0.4937, 'grad_norm': 3.187871217727661, 'learning_rate': 8.841726618705037e-05, 'epoch': 1.17} -{'loss': 0.495, 'grad_norm': 0.7268407344818115, 'learning_rate': 8.839928057553957e-05, 'epoch': 1.18} -{'loss': 0.4893, 'grad_norm': 0.6122013330459595, 'learning_rate': 8.838129496402878e-05, 'epoch': 1.18} -{'loss': 0.4905, 'grad_norm': 1.2042814493179321, 'learning_rate': 8.836330935251799e-05, 'epoch': 1.18} -{'loss': 0.486, 'grad_norm': 1.9230992794036865, 'learning_rate': 8.83453237410072e-05, 'epoch': 1.18} -{'loss': 0.4922, 'grad_norm': 1.7755814790725708, 'learning_rate': 8.83273381294964e-05, 'epoch': 1.18} -{'loss': 0.4909, 'grad_norm': 1.7892924547195435, 'learning_rate': 8.830935251798561e-05, 'epoch': 1.18} - 12%|███████████▏ | 670/5570 [10:44<1:06:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4810190796852112, 'eval_runtime': 1.5426, 'eval_samples_per_second': 466.73, 'eval_steps_per_second': 3.889, 'epoch': 1.18} -{'loss': 0.4915, 'grad_norm': 1.079388976097107, 'learning_rate': 8.829136690647483e-05, 'epoch': 1.19} -{'loss': 0.4947, 'grad_norm': 0.8467980623245239, 'learning_rate': 8.827338129496403e-05, 'epoch': 1.19} -{'loss': 0.4941, 'grad_norm': 1.4714943170547485, 'learning_rate': 8.825539568345325e-05, 'epoch': 1.19} -{'loss': 0.4869, 'grad_norm': 2.232220411300659, 'learning_rate': 8.823741007194246e-05, 'epoch': 1.19} -{'loss': 0.5006, 'grad_norm': 1.597581148147583, 'learning_rate': 8.821942446043165e-05, 'epoch': 1.19} -{'loss': 0.4974, 'grad_norm': 1.7439500093460083, 'learning_rate': 8.820143884892087e-05, 'epoch': 1.2} -{'loss': 0.4929, 'grad_norm': 1.3696790933609009, 'learning_rate': 8.818345323741008e-05, 'epoch': 1.2} -{'loss': 0.4871, 'grad_norm': 1.6035341024398804, 'learning_rate': 8.816546762589929e-05, 'epoch': 1.2} -{'loss': 0.4929, 'grad_norm': 0.9892287254333496, 'learning_rate': 8.81474820143885e-05, 'epoch': 1.2} -{'loss': 0.4829, 'grad_norm': 1.5228720903396606, 'learning_rate': 8.81294964028777e-05, 'epoch': 1.2} - 12%|███████████▎ | 680/5570 [10:54<1:06:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48063868284225464, 'eval_runtime': 1.535, 'eval_samples_per_second': 469.051, 'eval_steps_per_second': 3.909, 'epoch': 1.2} -{'loss': 0.4781, 'grad_norm': 0.5798953771591187, 'learning_rate': 8.811151079136691e-05, 'epoch': 1.2} -{'loss': 0.4837, 'grad_norm': 1.8980824947357178, 'learning_rate': 8.809352517985612e-05, 'epoch': 1.21} -{'loss': 0.4915, 'grad_norm': 0.9288235902786255, 'learning_rate': 8.807553956834534e-05, 'epoch': 1.21} -{'loss': 0.4825, 'grad_norm': 1.4146794080734253, 'learning_rate': 8.805755395683453e-05, 'epoch': 1.21} -{'loss': 0.4938, 'grad_norm': 1.2210241556167603, 'learning_rate': 8.803956834532374e-05, 'epoch': 1.21} -{'loss': 0.4872, 'grad_norm': 3.660231590270996, 'learning_rate': 8.802158273381296e-05, 'epoch': 1.21} -{'loss': 0.4902, 'grad_norm': 1.7536842823028564, 'learning_rate': 8.800359712230216e-05, 'epoch': 1.22} -{'loss': 0.4889, 'grad_norm': 1.1876274347305298, 'learning_rate': 8.798561151079136e-05, 'epoch': 1.22} -{'loss': 0.4937, 'grad_norm': 1.074436068534851, 'learning_rate': 8.796762589928059e-05, 'epoch': 1.22} -{'loss': 0.4813, 'grad_norm': 0.9030883312225342, 'learning_rate': 8.794964028776978e-05, 'epoch': 1.22} - 12%|███████████▌ | 690/5570 [11:03<1:07:49, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47977203130722046, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.211, 'eval_steps_per_second': 3.91, 'epoch': 1.22} -{'loss': 0.4829, 'grad_norm': 1.5362251996994019, 'learning_rate': 8.7931654676259e-05, 'epoch': 1.22} -{'loss': 0.4812, 'grad_norm': 0.7865851521492004, 'learning_rate': 8.791366906474821e-05, 'epoch': 1.22} -{'loss': 0.484, 'grad_norm': 3.2166919708251953, 'learning_rate': 8.789568345323742e-05, 'epoch': 1.23} -{'loss': 0.4868, 'grad_norm': 1.1516207456588745, 'learning_rate': 8.787769784172662e-05, 'epoch': 1.23} -{'loss': 0.4941, 'grad_norm': 2.615062952041626, 'learning_rate': 8.785971223021583e-05, 'epoch': 1.23} -{'loss': 0.4907, 'grad_norm': 1.182029366493225, 'learning_rate': 8.784172661870504e-05, 'epoch': 1.23} -{'loss': 0.4833, 'grad_norm': 3.077741861343384, 'learning_rate': 8.782374100719425e-05, 'epoch': 1.23} -{'loss': 0.4936, 'grad_norm': 2.946291923522949, 'learning_rate': 8.780575539568345e-05, 'epoch': 1.24} -{'loss': 0.4874, 'grad_norm': 1.6053051948547363, 'learning_rate': 8.778776978417266e-05, 'epoch': 1.24} -{'loss': 0.4884, 'grad_norm': 1.6293166875839233, 'learning_rate': 8.776978417266187e-05, 'epoch': 1.24} - 13%|███████████▋ | 700/5570 [11:13<1:06:59, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4823731780052185, 'eval_runtime': 1.5736, 'eval_samples_per_second': 457.564, 'eval_steps_per_second': 3.813, 'epoch': 1.24} -{'loss': 0.4906, 'grad_norm': 2.854519844055176, 'learning_rate': 8.775179856115109e-05, 'epoch': 1.24} -{'loss': 0.4966, 'grad_norm': 1.530819058418274, 'learning_rate': 8.77338129496403e-05, 'epoch': 1.24} -{'loss': 0.4956, 'grad_norm': 1.5249195098876953, 'learning_rate': 8.771582733812949e-05, 'epoch': 1.24} -{'loss': 0.4692, 'grad_norm': 0.917568564414978, 'learning_rate': 8.769784172661871e-05, 'epoch': 1.25} -{'loss': 0.4865, 'grad_norm': 2.429962158203125, 'learning_rate': 8.767985611510792e-05, 'epoch': 1.25} -{'loss': 0.4761, 'grad_norm': 1.5492216348648071, 'learning_rate': 8.766187050359712e-05, 'epoch': 1.25} -{'loss': 0.4883, 'grad_norm': 2.6180267333984375, 'learning_rate': 8.764388489208634e-05, 'epoch': 1.25} -{'loss': 0.4894, 'grad_norm': 1.2301844358444214, 'learning_rate': 8.762589928057555e-05, 'epoch': 1.25} -{'loss': 0.4917, 'grad_norm': 1.3355754613876343, 'learning_rate': 8.760791366906475e-05, 'epoch': 1.25} -{'loss': 0.4899, 'grad_norm': 1.4138637781143188, 'learning_rate': 8.758992805755396e-05, 'epoch': 1.26} - 13%|███████████▊ | 710/5570 [11:23<1:05:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47962331771850586, 'eval_runtime': 1.5848, 'eval_samples_per_second': 454.318, 'eval_steps_per_second': 3.786, 'epoch': 1.26} -{'loss': 0.4826, 'grad_norm': 2.7002153396606445, 'learning_rate': 8.757194244604317e-05, 'epoch': 1.26} -{'loss': 0.4738, 'grad_norm': 3.3077263832092285, 'learning_rate': 8.755395683453238e-05, 'epoch': 1.26} -{'loss': 0.4825, 'grad_norm': 1.1311410665512085, 'learning_rate': 8.753597122302158e-05, 'epoch': 1.26} -{'loss': 0.481, 'grad_norm': 3.8770129680633545, 'learning_rate': 8.75179856115108e-05, 'epoch': 1.26} -{'loss': 0.4915, 'grad_norm': 1.2909862995147705, 'learning_rate': 8.75e-05, 'epoch': 1.27} -{'loss': 0.49, 'grad_norm': 3.676971197128296, 'learning_rate': 8.748201438848921e-05, 'epoch': 1.27} -{'loss': 0.4816, 'grad_norm': 2.246328830718994, 'learning_rate': 8.746402877697843e-05, 'epoch': 1.27} -{'loss': 0.4842, 'grad_norm': 3.511716365814209, 'learning_rate': 8.744604316546762e-05, 'epoch': 1.27} -{'loss': 0.5071, 'grad_norm': 4.391304969787598, 'learning_rate': 8.742805755395684e-05, 'epoch': 1.27} -{'loss': 0.4906, 'grad_norm': 1.2294032573699951, 'learning_rate': 8.741007194244605e-05, 'epoch': 1.27} - 13%|████████████ | 720/5570 [11:32<1:06:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4829413592815399, 'eval_runtime': 1.5707, 'eval_samples_per_second': 458.397, 'eval_steps_per_second': 3.82, 'epoch': 1.27} -{'loss': 0.4683, 'grad_norm': 3.1040360927581787, 'learning_rate': 8.739208633093526e-05, 'epoch': 1.28} -{'loss': 0.5015, 'grad_norm': 2.762481689453125, 'learning_rate': 8.737410071942447e-05, 'epoch': 1.28} -{'loss': 0.4927, 'grad_norm': 1.6823582649230957, 'learning_rate': 8.735611510791367e-05, 'epoch': 1.28} -{'loss': 0.5025, 'grad_norm': 3.7585294246673584, 'learning_rate': 8.733812949640288e-05, 'epoch': 1.28} -{'loss': 0.4836, 'grad_norm': 3.9837377071380615, 'learning_rate': 8.732014388489209e-05, 'epoch': 1.28} -{'loss': 0.4876, 'grad_norm': 2.095289945602417, 'learning_rate': 8.73021582733813e-05, 'epoch': 1.29} -{'loss': 0.4927, 'grad_norm': 5.206554889678955, 'learning_rate': 8.72841726618705e-05, 'epoch': 1.29} -{'loss': 0.5011, 'grad_norm': 3.9124269485473633, 'learning_rate': 8.726618705035971e-05, 'epoch': 1.29} -{'loss': 0.4815, 'grad_norm': 3.006669044494629, 'learning_rate': 8.724820143884892e-05, 'epoch': 1.29} -{'loss': 0.4936, 'grad_norm': 0.6443541049957275, 'learning_rate': 8.723021582733814e-05, 'epoch': 1.29} - 13%|████████████▏ | 730/5570 [11:42<1:06:26, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4830714762210846, 'eval_runtime': 1.5675, 'eval_samples_per_second': 459.343, 'eval_steps_per_second': 3.828, 'epoch': 1.29} -{'loss': 0.4995, 'grad_norm': 2.20363187789917, 'learning_rate': 8.721223021582734e-05, 'epoch': 1.29} -{'loss': 0.4809, 'grad_norm': 3.024575710296631, 'learning_rate': 8.719424460431656e-05, 'epoch': 1.3} -{'loss': 0.4777, 'grad_norm': 0.8883380889892578, 'learning_rate': 8.717625899280576e-05, 'epoch': 1.3} -{'loss': 0.491, 'grad_norm': 4.0517659187316895, 'learning_rate': 8.715827338129496e-05, 'epoch': 1.3} -{'loss': 0.4933, 'grad_norm': 3.483982563018799, 'learning_rate': 8.714028776978418e-05, 'epoch': 1.3} -{'loss': 0.4759, 'grad_norm': 2.789635419845581, 'learning_rate': 8.712230215827339e-05, 'epoch': 1.3} -{'loss': 0.4881, 'grad_norm': 2.3556387424468994, 'learning_rate': 8.71043165467626e-05, 'epoch': 1.31} -{'loss': 0.4889, 'grad_norm': 3.1306796073913574, 'learning_rate': 8.70863309352518e-05, 'epoch': 1.31} -{'loss': 0.4799, 'grad_norm': 1.5353063344955444, 'learning_rate': 8.706834532374101e-05, 'epoch': 1.31} -{'loss': 0.4887, 'grad_norm': 2.32822847366333, 'learning_rate': 8.705035971223022e-05, 'epoch': 1.31} - 13%|████████████▎ | 740/5570 [11:52<1:06:43, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4807509481906891, 'eval_runtime': 1.5555, 'eval_samples_per_second': 462.874, 'eval_steps_per_second': 3.857, 'epoch': 1.31} -{'loss': 0.4814, 'grad_norm': 1.6687495708465576, 'learning_rate': 8.703237410071943e-05, 'epoch': 1.31} -{'loss': 0.4836, 'grad_norm': 0.7219170928001404, 'learning_rate': 8.701438848920865e-05, 'epoch': 1.31} -{'loss': 0.4702, 'grad_norm': 2.6386964321136475, 'learning_rate': 8.699640287769784e-05, 'epoch': 1.32} -{'loss': 0.4795, 'grad_norm': 2.2708218097686768, 'learning_rate': 8.697841726618705e-05, 'epoch': 1.32} -{'loss': 0.4815, 'grad_norm': 0.9978452324867249, 'learning_rate': 8.696043165467627e-05, 'epoch': 1.32} -{'loss': 0.4922, 'grad_norm': 3.025615930557251, 'learning_rate': 8.694244604316547e-05, 'epoch': 1.32} -{'loss': 0.5022, 'grad_norm': 2.869048595428467, 'learning_rate': 8.692446043165467e-05, 'epoch': 1.32} -{'loss': 0.4866, 'grad_norm': 2.512172222137451, 'learning_rate': 8.69064748201439e-05, 'epoch': 1.32} -{'loss': 0.494, 'grad_norm': 2.4338183403015137, 'learning_rate': 8.688848920863309e-05, 'epoch': 1.33} -{'loss': 0.4965, 'grad_norm': 5.172654151916504, 'learning_rate': 8.687050359712231e-05, 'epoch': 1.33} - 13%|████████████▌ | 750/5570 [12:01<1:06:09, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4871715009212494, 'eval_runtime': 1.5662, 'eval_samples_per_second': 459.709, 'eval_steps_per_second': 3.831, 'epoch': 1.33} -{'loss': 0.4968, 'grad_norm': 4.605682373046875, 'learning_rate': 8.685251798561152e-05, 'epoch': 1.33} -{'loss': 0.5051, 'grad_norm': 2.092905044555664, 'learning_rate': 8.683453237410072e-05, 'epoch': 1.33} -{'loss': 0.5005, 'grad_norm': 3.5238726139068604, 'learning_rate': 8.681654676258993e-05, 'epoch': 1.33} -{'loss': 0.5017, 'grad_norm': 5.88307523727417, 'learning_rate': 8.679856115107914e-05, 'epoch': 1.34} -{'loss': 0.4865, 'grad_norm': 3.862548589706421, 'learning_rate': 8.678057553956835e-05, 'epoch': 1.34} -{'loss': 0.4763, 'grad_norm': 1.0413793325424194, 'learning_rate': 8.676258992805756e-05, 'epoch': 1.34} -{'loss': 0.49, 'grad_norm': 3.6595609188079834, 'learning_rate': 8.674460431654676e-05, 'epoch': 1.34} -{'loss': 0.4919, 'grad_norm': 4.149747848510742, 'learning_rate': 8.672661870503597e-05, 'epoch': 1.34} -{'loss': 0.4873, 'grad_norm': 3.578791379928589, 'learning_rate': 8.670863309352518e-05, 'epoch': 1.34} -{'loss': 0.4918, 'grad_norm': 2.545646905899048, 'learning_rate': 8.66906474820144e-05, 'epoch': 1.35} - 14%|████████████▋ | 760/5570 [12:11<1:05:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4830467998981476, 'eval_runtime': 1.5723, 'eval_samples_per_second': 457.92, 'eval_steps_per_second': 3.816, 'epoch': 1.35} -{'loss': 0.5011, 'grad_norm': 2.6481082439422607, 'learning_rate': 8.667266187050361e-05, 'epoch': 1.35} -{'loss': 0.4951, 'grad_norm': 3.1697957515716553, 'learning_rate': 8.66546762589928e-05, 'epoch': 1.35} -{'loss': 0.4856, 'grad_norm': 3.4147586822509766, 'learning_rate': 8.663669064748202e-05, 'epoch': 1.35} -{'loss': 0.4779, 'grad_norm': 1.4592100381851196, 'learning_rate': 8.661870503597123e-05, 'epoch': 1.35} -{'loss': 0.4865, 'grad_norm': 3.1389036178588867, 'learning_rate': 8.660071942446043e-05, 'epoch': 1.36} -{'loss': 0.4853, 'grad_norm': 1.5885112285614014, 'learning_rate': 8.658273381294965e-05, 'epoch': 1.36} -{'loss': 0.4872, 'grad_norm': 2.33656907081604, 'learning_rate': 8.656474820143885e-05, 'epoch': 1.36} -{'loss': 0.4809, 'grad_norm': 1.5413587093353271, 'learning_rate': 8.654676258992806e-05, 'epoch': 1.36} -{'loss': 0.4775, 'grad_norm': 2.366551399230957, 'learning_rate': 8.652877697841727e-05, 'epoch': 1.36} -{'loss': 0.4811, 'grad_norm': 3.996095895767212, 'learning_rate': 8.651079136690648e-05, 'epoch': 1.36} - 14%|████████████▊ | 770/5570 [12:21<1:05:39, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4815106987953186, 'eval_runtime': 1.5625, 'eval_samples_per_second': 460.809, 'eval_steps_per_second': 3.84, 'epoch': 1.36} -{'loss': 0.4865, 'grad_norm': 2.4871809482574463, 'learning_rate': 8.649280575539568e-05, 'epoch': 1.37} -{'loss': 0.4857, 'grad_norm': 0.5497648119926453, 'learning_rate': 8.647482014388489e-05, 'epoch': 1.37} -{'loss': 0.492, 'grad_norm': 2.518655776977539, 'learning_rate': 8.645683453237411e-05, 'epoch': 1.37} -{'loss': 0.4813, 'grad_norm': 1.9028466939926147, 'learning_rate': 8.643884892086331e-05, 'epoch': 1.37} -{'loss': 0.4782, 'grad_norm': 1.3984401226043701, 'learning_rate': 8.642086330935252e-05, 'epoch': 1.37} -{'loss': 0.4943, 'grad_norm': 2.467660427093506, 'learning_rate': 8.640287769784174e-05, 'epoch': 1.38} -{'loss': 0.4903, 'grad_norm': 5.434776306152344, 'learning_rate': 8.638489208633093e-05, 'epoch': 1.38} -{'loss': 0.4926, 'grad_norm': 2.973130702972412, 'learning_rate': 8.636690647482015e-05, 'epoch': 1.38} -{'loss': 0.4759, 'grad_norm': 1.4299496412277222, 'learning_rate': 8.634892086330936e-05, 'epoch': 1.38} -{'loss': 0.4898, 'grad_norm': 2.5691230297088623, 'learning_rate': 8.633093525179857e-05, 'epoch': 1.38} - 14%|█████████████ | 780/5570 [12:30<1:05:12, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.481930673122406, 'eval_runtime': 1.5885, 'eval_samples_per_second': 453.257, 'eval_steps_per_second': 3.777, 'epoch': 1.38} -{'loss': 0.4778, 'grad_norm': 2.364586114883423, 'learning_rate': 8.631294964028778e-05, 'epoch': 1.38} -{'loss': 0.4833, 'grad_norm': 1.8143682479858398, 'learning_rate': 8.629496402877698e-05, 'epoch': 1.39} -{'loss': 0.483, 'grad_norm': 1.7167774438858032, 'learning_rate': 8.627697841726619e-05, 'epoch': 1.39} -{'loss': 0.4851, 'grad_norm': 2.445594072341919, 'learning_rate': 8.62589928057554e-05, 'epoch': 1.39} -{'loss': 0.4825, 'grad_norm': 1.7225909233093262, 'learning_rate': 8.62410071942446e-05, 'epoch': 1.39} -{'loss': 0.4841, 'grad_norm': 1.5795667171478271, 'learning_rate': 8.622302158273381e-05, 'epoch': 1.39} -{'loss': 0.47, 'grad_norm': 2.334609270095825, 'learning_rate': 8.620503597122302e-05, 'epoch': 1.39} -{'loss': 0.48, 'grad_norm': 1.925118088722229, 'learning_rate': 8.618705035971223e-05, 'epoch': 1.4} -{'loss': 0.4808, 'grad_norm': 1.2485939264297485, 'learning_rate': 8.616906474820145e-05, 'epoch': 1.4} -{'loss': 0.4735, 'grad_norm': 0.7394266724586487, 'learning_rate': 8.615107913669065e-05, 'epoch': 1.4} - 14%|█████████████▏ | 790/5570 [12:40<1:06:00, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.478280633687973, 'eval_runtime': 1.5478, 'eval_samples_per_second': 465.168, 'eval_steps_per_second': 3.876, 'epoch': 1.4} -{'loss': 0.4854, 'grad_norm': 1.724567174911499, 'learning_rate': 8.613309352517987e-05, 'epoch': 1.4} -{'loss': 0.4793, 'grad_norm': 1.5898395776748657, 'learning_rate': 8.611510791366907e-05, 'epoch': 1.4} -{'loss': 0.4851, 'grad_norm': 1.5727081298828125, 'learning_rate': 8.609712230215827e-05, 'epoch': 1.41} -{'loss': 0.4781, 'grad_norm': 1.073057770729065, 'learning_rate': 8.607913669064749e-05, 'epoch': 1.41} -{'loss': 0.4898, 'grad_norm': 1.2650043964385986, 'learning_rate': 8.60611510791367e-05, 'epoch': 1.41} -{'loss': 0.4916, 'grad_norm': 0.7878717184066772, 'learning_rate': 8.60431654676259e-05, 'epoch': 1.41} -{'loss': 0.4811, 'grad_norm': 0.8979917764663696, 'learning_rate': 8.602517985611511e-05, 'epoch': 1.41} -{'loss': 0.4795, 'grad_norm': 0.7536644339561462, 'learning_rate': 8.600719424460432e-05, 'epoch': 1.41} -{'loss': 0.4924, 'grad_norm': 1.6754083633422852, 'learning_rate': 8.598920863309353e-05, 'epoch': 1.42} -{'loss': 0.4862, 'grad_norm': 2.24419903755188, 'learning_rate': 8.597122302158274e-05, 'epoch': 1.42} - 14%|█████████████▎ | 800/5570 [12:50<1:04:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48365774750709534, 'eval_runtime': 1.5427, 'eval_samples_per_second': 466.702, 'eval_steps_per_second': 3.889, 'epoch': 1.42} -{'loss': 0.4776, 'grad_norm': 1.7309298515319824, 'learning_rate': 8.595323741007196e-05, 'epoch': 1.42} -{'loss': 0.4842, 'grad_norm': 2.5389394760131836, 'learning_rate': 8.593525179856115e-05, 'epoch': 1.42} -{'loss': 0.4918, 'grad_norm': 2.218207836151123, 'learning_rate': 8.591726618705036e-05, 'epoch': 1.42} -{'loss': 0.4825, 'grad_norm': 1.401873230934143, 'learning_rate': 8.589928057553958e-05, 'epoch': 1.43} -{'loss': 0.474, 'grad_norm': 2.1292154788970947, 'learning_rate': 8.588129496402877e-05, 'epoch': 1.43} -{'loss': 0.4912, 'grad_norm': 2.124943971633911, 'learning_rate': 8.586330935251798e-05, 'epoch': 1.43} -{'loss': 0.4833, 'grad_norm': 3.186444044113159, 'learning_rate': 8.58453237410072e-05, 'epoch': 1.43} -{'loss': 0.4761, 'grad_norm': 2.138425588607788, 'learning_rate': 8.58273381294964e-05, 'epoch': 1.43} -{'loss': 0.4827, 'grad_norm': 2.6424787044525146, 'learning_rate': 8.580935251798562e-05, 'epoch': 1.43} -{'loss': 0.4841, 'grad_norm': 2.6699180603027344, 'learning_rate': 8.579136690647483e-05, 'epoch': 1.44} - 15%|█████████████▌ | 810/5570 [12:59<1:05:33, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48261183500289917, 'eval_runtime': 1.5461, 'eval_samples_per_second': 465.68, 'eval_steps_per_second': 3.881, 'epoch': 1.44} -{'loss': 0.4863, 'grad_norm': 2.750075578689575, 'learning_rate': 8.577338129496403e-05, 'epoch': 1.44} -{'loss': 0.4858, 'grad_norm': 1.817284345626831, 'learning_rate': 8.575539568345324e-05, 'epoch': 1.44} -{'loss': 0.4913, 'grad_norm': 2.6357831954956055, 'learning_rate': 8.573741007194245e-05, 'epoch': 1.44} -{'loss': 0.4869, 'grad_norm': 0.7005596160888672, 'learning_rate': 8.571942446043166e-05, 'epoch': 1.44} -{'loss': 0.4806, 'grad_norm': 0.7778571844100952, 'learning_rate': 8.570143884892086e-05, 'epoch': 1.45} -{'loss': 0.4956, 'grad_norm': 2.5847389698028564, 'learning_rate': 8.568345323741007e-05, 'epoch': 1.45} -{'loss': 0.4793, 'grad_norm': 2.4881112575531006, 'learning_rate': 8.56654676258993e-05, 'epoch': 1.45} -{'loss': 0.479, 'grad_norm': 0.9584059715270996, 'learning_rate': 8.564748201438849e-05, 'epoch': 1.45} -{'loss': 0.4847, 'grad_norm': 2.399062395095825, 'learning_rate': 8.562949640287771e-05, 'epoch': 1.45} -{'loss': 0.4773, 'grad_norm': 0.8924804925918579, 'learning_rate': 8.561151079136692e-05, 'epoch': 1.45} - 15%|█████████████▋ | 820/5570 [13:09<1:04:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4800526201725006, 'eval_runtime': 1.5447, 'eval_samples_per_second': 466.106, 'eval_steps_per_second': 3.884, 'epoch': 1.45} -{'loss': 0.4874, 'grad_norm': 0.8896813988685608, 'learning_rate': 8.559352517985611e-05, 'epoch': 1.46} -{'loss': 0.4861, 'grad_norm': 1.5765810012817383, 'learning_rate': 8.557553956834533e-05, 'epoch': 1.46} -{'loss': 0.4847, 'grad_norm': 1.388117790222168, 'learning_rate': 8.555755395683454e-05, 'epoch': 1.46} -{'loss': 0.4917, 'grad_norm': 0.6619842052459717, 'learning_rate': 8.553956834532375e-05, 'epoch': 1.46} -{'loss': 0.4904, 'grad_norm': 2.8780603408813477, 'learning_rate': 8.552158273381296e-05, 'epoch': 1.46} -{'loss': 0.4829, 'grad_norm': 1.2357884645462036, 'learning_rate': 8.550359712230216e-05, 'epoch': 1.46} -{'loss': 0.487, 'grad_norm': 1.4924321174621582, 'learning_rate': 8.548561151079137e-05, 'epoch': 1.47} -{'loss': 0.4792, 'grad_norm': 0.7201858758926392, 'learning_rate': 8.546762589928058e-05, 'epoch': 1.47} -{'loss': 0.483, 'grad_norm': 0.8336338400840759, 'learning_rate': 8.544964028776979e-05, 'epoch': 1.47} -{'loss': 0.485, 'grad_norm': 1.3492388725280762, 'learning_rate': 8.5431654676259e-05, 'epoch': 1.47} - 15%|█████████████▊ | 830/5570 [13:18<1:04:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4771321713924408, 'eval_runtime': 1.5434, 'eval_samples_per_second': 466.5, 'eval_steps_per_second': 3.888, 'epoch': 1.47} -{'loss': 0.4973, 'grad_norm': 2.04729962348938, 'learning_rate': 8.54136690647482e-05, 'epoch': 1.47} -{'loss': 0.4788, 'grad_norm': 3.0418033599853516, 'learning_rate': 8.539568345323742e-05, 'epoch': 1.48} -{'loss': 0.4845, 'grad_norm': 1.340139627456665, 'learning_rate': 8.537769784172662e-05, 'epoch': 1.48} -{'loss': 0.4788, 'grad_norm': 2.4812543392181396, 'learning_rate': 8.535971223021582e-05, 'epoch': 1.48} -{'loss': 0.502, 'grad_norm': 1.6468719244003296, 'learning_rate': 8.534172661870505e-05, 'epoch': 1.48} -{'loss': 0.4846, 'grad_norm': 1.162213683128357, 'learning_rate': 8.532374100719424e-05, 'epoch': 1.48} -{'loss': 0.4814, 'grad_norm': 2.013648748397827, 'learning_rate': 8.530575539568346e-05, 'epoch': 1.48} -{'loss': 0.4792, 'grad_norm': 1.0928778648376465, 'learning_rate': 8.528776978417267e-05, 'epoch': 1.49} -{'loss': 0.4834, 'grad_norm': 1.9168466329574585, 'learning_rate': 8.526978417266188e-05, 'epoch': 1.49} -{'loss': 0.4894, 'grad_norm': 1.4293171167373657, 'learning_rate': 8.525179856115108e-05, 'epoch': 1.49} - 15%|██████████████ | 840/5570 [13:28<1:04:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48233476281166077, 'eval_runtime': 1.5546, 'eval_samples_per_second': 463.147, 'eval_steps_per_second': 3.86, 'epoch': 1.49} -{'loss': 0.4848, 'grad_norm': 1.1303725242614746, 'learning_rate': 8.523381294964029e-05, 'epoch': 1.49} -{'loss': 0.4907, 'grad_norm': 1.3432263135910034, 'learning_rate': 8.52158273381295e-05, 'epoch': 1.49} -{'loss': 0.485, 'grad_norm': 1.154771327972412, 'learning_rate': 8.519784172661871e-05, 'epoch': 1.5} -{'loss': 0.4872, 'grad_norm': 1.2071837186813354, 'learning_rate': 8.517985611510792e-05, 'epoch': 1.5} -{'loss': 0.4848, 'grad_norm': 0.9653674364089966, 'learning_rate': 8.516187050359712e-05, 'epoch': 1.5} -{'loss': 0.4829, 'grad_norm': 0.9888547658920288, 'learning_rate': 8.514388489208633e-05, 'epoch': 1.5} -{'loss': 0.4839, 'grad_norm': 0.7381123304367065, 'learning_rate': 8.512589928057554e-05, 'epoch': 1.5} -{'loss': 0.4708, 'grad_norm': 0.9071857929229736, 'learning_rate': 8.510791366906476e-05, 'epoch': 1.5} -{'loss': 0.4953, 'grad_norm': 3.691568613052368, 'learning_rate': 8.508992805755395e-05, 'epoch': 1.51} -{'loss': 0.4904, 'grad_norm': 1.398201823234558, 'learning_rate': 8.507194244604318e-05, 'epoch': 1.51} - 15%|██████████████▏ | 850/5570 [13:38<1:04:30, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.49001544713974, 'eval_runtime': 1.5227, 'eval_samples_per_second': 472.839, 'eval_steps_per_second': 3.94, 'epoch': 1.51} -{'loss': 0.489, 'grad_norm': 5.186514854431152, 'learning_rate': 8.505395683453238e-05, 'epoch': 1.51} -{'loss': 0.5046, 'grad_norm': 4.28756046295166, 'learning_rate': 8.503597122302158e-05, 'epoch': 1.51} -{'loss': 0.4867, 'grad_norm': 2.305375099182129, 'learning_rate': 8.50179856115108e-05, 'epoch': 1.51} -{'loss': 0.4845, 'grad_norm': 1.5422208309173584, 'learning_rate': 8.5e-05, 'epoch': 1.52} -{'loss': 0.4951, 'grad_norm': 2.736332654953003, 'learning_rate': 8.498201438848921e-05, 'epoch': 1.52} -{'loss': 0.4965, 'grad_norm': 1.3197591304779053, 'learning_rate': 8.496402877697842e-05, 'epoch': 1.52} -{'loss': 0.4886, 'grad_norm': 1.375236988067627, 'learning_rate': 8.494604316546763e-05, 'epoch': 1.52} -{'loss': 0.4986, 'grad_norm': 1.592275619506836, 'learning_rate': 8.492805755395684e-05, 'epoch': 1.52} -{'loss': 0.4867, 'grad_norm': 2.1057279109954834, 'learning_rate': 8.491007194244604e-05, 'epoch': 1.52} -{'loss': 0.482, 'grad_norm': 1.589993953704834, 'learning_rate': 8.489208633093527e-05, 'epoch': 1.53} - 15%|██████████████▎ | 860/5570 [13:47<1:05:02, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48135906457901, 'eval_runtime': 1.5722, 'eval_samples_per_second': 457.965, 'eval_steps_per_second': 3.816, 'epoch': 1.53} -{'loss': 0.4843, 'grad_norm': 1.4306286573410034, 'learning_rate': 8.487410071942446e-05, 'epoch': 1.53} -{'loss': 0.4942, 'grad_norm': 2.5443780422210693, 'learning_rate': 8.485611510791367e-05, 'epoch': 1.53} -{'loss': 0.49, 'grad_norm': 3.417112112045288, 'learning_rate': 8.483812949640289e-05, 'epoch': 1.53} -{'loss': 0.4826, 'grad_norm': 1.4258809089660645, 'learning_rate': 8.482014388489208e-05, 'epoch': 1.53} -{'loss': 0.4895, 'grad_norm': 2.9263288974761963, 'learning_rate': 8.480215827338129e-05, 'epoch': 1.54} -{'loss': 0.4903, 'grad_norm': 3.4957284927368164, 'learning_rate': 8.478417266187051e-05, 'epoch': 1.54} -{'loss': 0.4858, 'grad_norm': 2.127418041229248, 'learning_rate': 8.476618705035972e-05, 'epoch': 1.54} -{'loss': 0.4799, 'grad_norm': 2.5652878284454346, 'learning_rate': 8.474820143884893e-05, 'epoch': 1.54} -{'loss': 0.4784, 'grad_norm': 1.7180325984954834, 'learning_rate': 8.473021582733814e-05, 'epoch': 1.54} -{'loss': 0.4814, 'grad_norm': 1.849463701248169, 'learning_rate': 8.471223021582734e-05, 'epoch': 1.54} - 16%|██████████████▌ | 870/5570 [13:57<1:04:28, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48043960332870483, 'eval_runtime': 1.5595, 'eval_samples_per_second': 461.679, 'eval_steps_per_second': 3.847, 'epoch': 1.54} -{'loss': 0.4779, 'grad_norm': 2.611323118209839, 'learning_rate': 8.469424460431655e-05, 'epoch': 1.55} -{'loss': 0.4859, 'grad_norm': 3.4922406673431396, 'learning_rate': 8.467625899280576e-05, 'epoch': 1.55} -{'loss': 0.4817, 'grad_norm': 0.7626582980155945, 'learning_rate': 8.465827338129497e-05, 'epoch': 1.55} -{'loss': 0.4767, 'grad_norm': 3.219107151031494, 'learning_rate': 8.464028776978417e-05, 'epoch': 1.55} -{'loss': 0.4792, 'grad_norm': 2.7578413486480713, 'learning_rate': 8.462230215827338e-05, 'epoch': 1.55} -{'loss': 0.4853, 'grad_norm': 0.9199392795562744, 'learning_rate': 8.46043165467626e-05, 'epoch': 1.55} -{'loss': 0.498, 'grad_norm': 2.58318829536438, 'learning_rate': 8.45863309352518e-05, 'epoch': 1.56} -{'loss': 0.487, 'grad_norm': 2.9007153511047363, 'learning_rate': 8.456834532374102e-05, 'epoch': 1.56} -{'loss': 0.4995, 'grad_norm': 1.3055338859558105, 'learning_rate': 8.455035971223023e-05, 'epoch': 1.56} -{'loss': 0.4883, 'grad_norm': 2.1455602645874023, 'learning_rate': 8.453237410071942e-05, 'epoch': 1.56} - 16%|██████████████▋ | 880/5570 [14:07<1:04:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.476119726896286, 'eval_runtime': 1.5882, 'eval_samples_per_second': 453.344, 'eval_steps_per_second': 3.778, 'epoch': 1.56} -{'loss': 0.4923, 'grad_norm': 1.2154206037521362, 'learning_rate': 8.451438848920864e-05, 'epoch': 1.56} -{'loss': 0.4891, 'grad_norm': 2.245652675628662, 'learning_rate': 8.449640287769785e-05, 'epoch': 1.57} -{'loss': 0.4888, 'grad_norm': 2.4584238529205322, 'learning_rate': 8.447841726618706e-05, 'epoch': 1.57} -{'loss': 0.471, 'grad_norm': 2.319894552230835, 'learning_rate': 8.446043165467626e-05, 'epoch': 1.57} -{'loss': 0.4783, 'grad_norm': 1.3096673488616943, 'learning_rate': 8.444244604316547e-05, 'epoch': 1.57} -{'loss': 0.4719, 'grad_norm': 2.726593494415283, 'learning_rate': 8.442446043165468e-05, 'epoch': 1.57} -{'loss': 0.4895, 'grad_norm': 2.3902769088745117, 'learning_rate': 8.440647482014389e-05, 'epoch': 1.57} -{'loss': 0.4807, 'grad_norm': 1.1560934782028198, 'learning_rate': 8.43884892086331e-05, 'epoch': 1.58} -{'loss': 0.4807, 'grad_norm': 2.6676206588745117, 'learning_rate': 8.43705035971223e-05, 'epoch': 1.58} -{'loss': 0.4793, 'grad_norm': 1.8129069805145264, 'learning_rate': 8.435251798561151e-05, 'epoch': 1.58} - 16%|██████████████▊ | 890/5570 [14:16<1:03:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4766605794429779, 'eval_runtime': 1.5628, 'eval_samples_per_second': 460.721, 'eval_steps_per_second': 3.839, 'epoch': 1.58} -{'loss': 0.4891, 'grad_norm': 2.1989030838012695, 'learning_rate': 8.433453237410073e-05, 'epoch': 1.58} -{'loss': 0.4876, 'grad_norm': 2.0441558361053467, 'learning_rate': 8.431654676258993e-05, 'epoch': 1.58} -{'loss': 0.4784, 'grad_norm': 2.3093888759613037, 'learning_rate': 8.429856115107913e-05, 'epoch': 1.59} -{'loss': 0.4989, 'grad_norm': 2.703702211380005, 'learning_rate': 8.428057553956836e-05, 'epoch': 1.59} -{'loss': 0.4882, 'grad_norm': 3.3312063217163086, 'learning_rate': 8.426258992805755e-05, 'epoch': 1.59} -{'loss': 0.4837, 'grad_norm': 1.4679559469223022, 'learning_rate': 8.424460431654677e-05, 'epoch': 1.59} -{'loss': 0.4861, 'grad_norm': 2.5250284671783447, 'learning_rate': 8.422661870503598e-05, 'epoch': 1.59} -{'loss': 0.478, 'grad_norm': 3.244164228439331, 'learning_rate': 8.420863309352519e-05, 'epoch': 1.59} -{'loss': 0.4772, 'grad_norm': 1.674263834953308, 'learning_rate': 8.41906474820144e-05, 'epoch': 1.6} -{'loss': 0.4692, 'grad_norm': 0.8387964963912964, 'learning_rate': 8.41726618705036e-05, 'epoch': 1.6} - 16%|███████████████ | 900/5570 [14:26<1:04:21, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47967529296875, 'eval_runtime': 1.5775, 'eval_samples_per_second': 456.415, 'eval_steps_per_second': 3.803, 'epoch': 1.6} -{'loss': 0.4833, 'grad_norm': 3.445565700531006, 'learning_rate': 8.415467625899281e-05, 'epoch': 1.6} -{'loss': 0.4932, 'grad_norm': 4.002078533172607, 'learning_rate': 8.413669064748202e-05, 'epoch': 1.6} -{'loss': 0.4783, 'grad_norm': 2.835008144378662, 'learning_rate': 8.411870503597122e-05, 'epoch': 1.6} -{'loss': 0.475, 'grad_norm': 0.8295074105262756, 'learning_rate': 8.410071942446045e-05, 'epoch': 1.61} -{'loss': 0.4858, 'grad_norm': 1.7127867937088013, 'learning_rate': 8.408273381294964e-05, 'epoch': 1.61} -{'loss': 0.4849, 'grad_norm': 2.198718309402466, 'learning_rate': 8.406474820143885e-05, 'epoch': 1.61} -{'loss': 0.4676, 'grad_norm': 0.8941423296928406, 'learning_rate': 8.404676258992807e-05, 'epoch': 1.61} -{'loss': 0.4846, 'grad_norm': 1.908264398574829, 'learning_rate': 8.402877697841726e-05, 'epoch': 1.61} -{'loss': 0.4804, 'grad_norm': 1.2010382413864136, 'learning_rate': 8.401079136690648e-05, 'epoch': 1.61} -{'loss': 0.4686, 'grad_norm': 0.6221705079078674, 'learning_rate': 8.399280575539569e-05, 'epoch': 1.62} - 16%|███████████████▏ | 910/5570 [14:36<1:04:00, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4743104577064514, 'eval_runtime': 1.5766, 'eval_samples_per_second': 456.682, 'eval_steps_per_second': 3.806, 'epoch': 1.62} -{'loss': 0.4813, 'grad_norm': 1.4731025695800781, 'learning_rate': 8.397482014388489e-05, 'epoch': 1.62} -{'loss': 0.4736, 'grad_norm': 1.3491923809051514, 'learning_rate': 8.395683453237411e-05, 'epoch': 1.62} -{'loss': 0.4746, 'grad_norm': 3.0461888313293457, 'learning_rate': 8.393884892086332e-05, 'epoch': 1.62} -{'loss': 0.4875, 'grad_norm': 2.530161142349243, 'learning_rate': 8.392086330935252e-05, 'epoch': 1.62} -{'loss': 0.473, 'grad_norm': 1.7107378244400024, 'learning_rate': 8.390287769784173e-05, 'epoch': 1.62} -{'loss': 0.4838, 'grad_norm': 1.2122206687927246, 'learning_rate': 8.388489208633094e-05, 'epoch': 1.63} -{'loss': 0.4849, 'grad_norm': 1.0493353605270386, 'learning_rate': 8.386690647482015e-05, 'epoch': 1.63} -{'loss': 0.4823, 'grad_norm': 1.3693487644195557, 'learning_rate': 8.384892086330935e-05, 'epoch': 1.63} -{'loss': 0.4814, 'grad_norm': 2.5823209285736084, 'learning_rate': 8.383093525179857e-05, 'epoch': 1.63} -{'loss': 0.4921, 'grad_norm': 2.275137186050415, 'learning_rate': 8.381294964028777e-05, 'epoch': 1.63} - 17%|███████████████▎ | 920/5570 [14:45<1:03:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4778905212879181, 'eval_runtime': 1.574, 'eval_samples_per_second': 457.443, 'eval_steps_per_second': 3.812, 'epoch': 1.63} -{'loss': 0.5011, 'grad_norm': 4.6203999519348145, 'learning_rate': 8.379496402877698e-05, 'epoch': 1.64} -{'loss': 0.4797, 'grad_norm': 1.6737507581710815, 'learning_rate': 8.37769784172662e-05, 'epoch': 1.64} -{'loss': 0.4835, 'grad_norm': 1.617079257965088, 'learning_rate': 8.375899280575539e-05, 'epoch': 1.64} -{'loss': 0.4828, 'grad_norm': 1.5179214477539062, 'learning_rate': 8.37410071942446e-05, 'epoch': 1.64} -{'loss': 0.4696, 'grad_norm': 1.6267434358596802, 'learning_rate': 8.372302158273382e-05, 'epoch': 1.64} -{'loss': 0.4861, 'grad_norm': 0.6440907716751099, 'learning_rate': 8.370503597122303e-05, 'epoch': 1.64} -{'loss': 0.4792, 'grad_norm': 2.3385322093963623, 'learning_rate': 8.368705035971224e-05, 'epoch': 1.65} -{'loss': 0.4859, 'grad_norm': 1.315154790878296, 'learning_rate': 8.366906474820144e-05, 'epoch': 1.65} -{'loss': 0.4813, 'grad_norm': 2.530273199081421, 'learning_rate': 8.365107913669065e-05, 'epoch': 1.65} -{'loss': 0.4936, 'grad_norm': 1.7929134368896484, 'learning_rate': 8.363309352517986e-05, 'epoch': 1.65} - 17%|███████████████▌ | 930/5570 [14:55<1:03:58, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.479624480009079, 'eval_runtime': 1.5747, 'eval_samples_per_second': 457.237, 'eval_steps_per_second': 3.81, 'epoch': 1.65} -{'loss': 0.4846, 'grad_norm': 2.4441583156585693, 'learning_rate': 8.361510791366907e-05, 'epoch': 1.65} -{'loss': 0.4773, 'grad_norm': 2.1787660121917725, 'learning_rate': 8.359712230215828e-05, 'epoch': 1.66} -{'loss': 0.4869, 'grad_norm': 0.759236216545105, 'learning_rate': 8.357913669064748e-05, 'epoch': 1.66} -{'loss': 0.4845, 'grad_norm': 3.2258987426757812, 'learning_rate': 8.356115107913669e-05, 'epoch': 1.66} -{'loss': 0.4831, 'grad_norm': 2.7432258129119873, 'learning_rate': 8.354316546762591e-05, 'epoch': 1.66} -{'loss': 0.4826, 'grad_norm': 1.0062006711959839, 'learning_rate': 8.35251798561151e-05, 'epoch': 1.66} -{'loss': 0.4749, 'grad_norm': 2.4757473468780518, 'learning_rate': 8.350719424460433e-05, 'epoch': 1.66} -{'loss': 0.4777, 'grad_norm': 1.7894734144210815, 'learning_rate': 8.348920863309353e-05, 'epoch': 1.67} -{'loss': 0.4727, 'grad_norm': 2.653988838195801, 'learning_rate': 8.347122302158273e-05, 'epoch': 1.67} -{'loss': 0.4911, 'grad_norm': 2.1262667179107666, 'learning_rate': 8.345323741007195e-05, 'epoch': 1.67} - 17%|███████████████▋ | 940/5570 [15:05<1:03:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47756844758987427, 'eval_runtime': 1.5724, 'eval_samples_per_second': 457.901, 'eval_steps_per_second': 3.816, 'epoch': 1.67} -{'loss': 0.4951, 'grad_norm': 0.7020359635353088, 'learning_rate': 8.343525179856116e-05, 'epoch': 1.67} -{'loss': 0.4834, 'grad_norm': 2.136505126953125, 'learning_rate': 8.341726618705037e-05, 'epoch': 1.67} -{'loss': 0.4785, 'grad_norm': 1.0525367259979248, 'learning_rate': 8.339928057553957e-05, 'epoch': 1.68} -{'loss': 0.4785, 'grad_norm': 1.6286007165908813, 'learning_rate': 8.338129496402878e-05, 'epoch': 1.68} -{'loss': 0.4847, 'grad_norm': 2.824246406555176, 'learning_rate': 8.336330935251799e-05, 'epoch': 1.68} -{'loss': 0.474, 'grad_norm': 1.6511636972427368, 'learning_rate': 8.33453237410072e-05, 'epoch': 1.68} -{'loss': 0.4852, 'grad_norm': 2.40444016456604, 'learning_rate': 8.33273381294964e-05, 'epoch': 1.68} -{'loss': 0.487, 'grad_norm': 1.4049619436264038, 'learning_rate': 8.330935251798561e-05, 'epoch': 1.68} -{'loss': 0.4879, 'grad_norm': 1.9413551092147827, 'learning_rate': 8.329136690647482e-05, 'epoch': 1.69} -{'loss': 0.4615, 'grad_norm': 2.7239339351654053, 'learning_rate': 8.327338129496404e-05, 'epoch': 1.69} - 17%|███████████████▊ | 950/5570 [15:14<1:03:23, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4731888175010681, 'eval_runtime': 1.5711, 'eval_samples_per_second': 458.269, 'eval_steps_per_second': 3.819, 'epoch': 1.69} -{'loss': 0.4827, 'grad_norm': 1.227829933166504, 'learning_rate': 8.325539568345324e-05, 'epoch': 1.69} -{'loss': 0.4872, 'grad_norm': 3.292759418487549, 'learning_rate': 8.323741007194244e-05, 'epoch': 1.69} -{'loss': 0.5054, 'grad_norm': 2.445183753967285, 'learning_rate': 8.321942446043166e-05, 'epoch': 1.69} -{'loss': 0.4905, 'grad_norm': 1.726749062538147, 'learning_rate': 8.320143884892087e-05, 'epoch': 1.69} -{'loss': 0.4854, 'grad_norm': 0.8851773738861084, 'learning_rate': 8.318345323741008e-05, 'epoch': 1.7} -{'loss': 0.4907, 'grad_norm': 3.164050340652466, 'learning_rate': 8.316546762589929e-05, 'epoch': 1.7} -{'loss': 0.4953, 'grad_norm': 2.8765573501586914, 'learning_rate': 8.31474820143885e-05, 'epoch': 1.7} -{'loss': 0.4732, 'grad_norm': 2.606130599975586, 'learning_rate': 8.31294964028777e-05, 'epoch': 1.7} -{'loss': 0.4801, 'grad_norm': 1.5269198417663574, 'learning_rate': 8.311151079136691e-05, 'epoch': 1.7} -{'loss': 0.4829, 'grad_norm': 1.8741109371185303, 'learning_rate': 8.309352517985612e-05, 'epoch': 1.71} - 17%|████████████████ | 960/5570 [15:24<1:02:42, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4788837134838104, 'eval_runtime': 1.5641, 'eval_samples_per_second': 460.337, 'eval_steps_per_second': 3.836, 'epoch': 1.71} -{'loss': 0.4877, 'grad_norm': 0.9315697550773621, 'learning_rate': 8.307553956834533e-05, 'epoch': 1.71} -{'loss': 0.4832, 'grad_norm': 1.56822669506073, 'learning_rate': 8.305755395683453e-05, 'epoch': 1.71} -{'loss': 0.485, 'grad_norm': 1.1810543537139893, 'learning_rate': 8.303956834532375e-05, 'epoch': 1.71} -{'loss': 0.4844, 'grad_norm': 1.166541576385498, 'learning_rate': 8.302158273381295e-05, 'epoch': 1.71} -{'loss': 0.4754, 'grad_norm': 1.6694889068603516, 'learning_rate': 8.300359712230216e-05, 'epoch': 1.71} -{'loss': 0.4819, 'grad_norm': 2.6303608417510986, 'learning_rate': 8.298561151079138e-05, 'epoch': 1.72} -{'loss': 0.4908, 'grad_norm': 2.3846685886383057, 'learning_rate': 8.296762589928057e-05, 'epoch': 1.72} -{'loss': 0.4743, 'grad_norm': 0.9877244830131531, 'learning_rate': 8.29496402877698e-05, 'epoch': 1.72} -{'loss': 0.4698, 'grad_norm': 0.7957810759544373, 'learning_rate': 8.2931654676259e-05, 'epoch': 1.72} -{'loss': 0.4741, 'grad_norm': 1.665185809135437, 'learning_rate': 8.29136690647482e-05, 'epoch': 1.72} - 17%|████████████████▏ | 970/5570 [15:34<1:02:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.48151957988739014, 'eval_runtime': 1.5419, 'eval_samples_per_second': 466.943, 'eval_steps_per_second': 3.891, 'epoch': 1.72} -{'loss': 0.4892, 'grad_norm': 1.704504132270813, 'learning_rate': 8.289568345323742e-05, 'epoch': 1.73} -{'loss': 0.4881, 'grad_norm': 1.8069512844085693, 'learning_rate': 8.287769784172662e-05, 'epoch': 1.73} -{'loss': 0.4846, 'grad_norm': 2.262643814086914, 'learning_rate': 8.285971223021583e-05, 'epoch': 1.73} -{'loss': 0.4767, 'grad_norm': 1.8042726516723633, 'learning_rate': 8.284172661870504e-05, 'epoch': 1.73} -{'loss': 0.4846, 'grad_norm': 1.5278754234313965, 'learning_rate': 8.282374100719425e-05, 'epoch': 1.73} -{'loss': 0.4849, 'grad_norm': 2.3124213218688965, 'learning_rate': 8.280575539568345e-05, 'epoch': 1.73} -{'loss': 0.4907, 'grad_norm': 1.6234164237976074, 'learning_rate': 8.278776978417266e-05, 'epoch': 1.74} -{'loss': 0.4768, 'grad_norm': 3.8387489318847656, 'learning_rate': 8.276978417266188e-05, 'epoch': 1.74} -{'loss': 0.4999, 'grad_norm': 4.411136627197266, 'learning_rate': 8.275179856115108e-05, 'epoch': 1.74} -{'loss': 0.4901, 'grad_norm': 1.3824284076690674, 'learning_rate': 8.273381294964029e-05, 'epoch': 1.74} - 18%|████████████████▎ | 980/5570 [15:43<1:02:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4767090678215027, 'eval_runtime': 1.5446, 'eval_samples_per_second': 466.138, 'eval_steps_per_second': 3.884, 'epoch': 1.74} -{'loss': 0.4822, 'grad_norm': 2.5430424213409424, 'learning_rate': 8.271582733812951e-05, 'epoch': 1.74} -{'loss': 0.4856, 'grad_norm': 1.889230728149414, 'learning_rate': 8.26978417266187e-05, 'epoch': 1.75} -{'loss': 0.477, 'grad_norm': 1.792001724243164, 'learning_rate': 8.267985611510792e-05, 'epoch': 1.75} -{'loss': 0.4799, 'grad_norm': 1.6297060251235962, 'learning_rate': 8.266187050359713e-05, 'epoch': 1.75} -{'loss': 0.484, 'grad_norm': 0.6768968105316162, 'learning_rate': 8.264388489208634e-05, 'epoch': 1.75} -{'loss': 0.4726, 'grad_norm': 1.1829090118408203, 'learning_rate': 8.262589928057555e-05, 'epoch': 1.75} -{'loss': 0.4793, 'grad_norm': 1.3698337078094482, 'learning_rate': 8.260791366906475e-05, 'epoch': 1.75} -{'loss': 0.4816, 'grad_norm': 2.7424838542938232, 'learning_rate': 8.258992805755396e-05, 'epoch': 1.76} -{'loss': 0.4865, 'grad_norm': 2.9430830478668213, 'learning_rate': 8.257194244604317e-05, 'epoch': 1.76} -{'loss': 0.4935, 'grad_norm': 1.3947696685791016, 'learning_rate': 8.255395683453238e-05, 'epoch': 1.76} - 18%|████████████████▌ | 990/5570 [15:53<1:01:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4759713113307953, 'eval_runtime': 1.5493, 'eval_samples_per_second': 464.734, 'eval_steps_per_second': 3.873, 'epoch': 1.76} -{'loss': 0.4845, 'grad_norm': 1.2831588983535767, 'learning_rate': 8.253597122302158e-05, 'epoch': 1.76} -{'loss': 0.4912, 'grad_norm': 1.3069911003112793, 'learning_rate': 8.251798561151079e-05, 'epoch': 1.76} -{'loss': 0.4736, 'grad_norm': 0.7104291915893555, 'learning_rate': 8.25e-05, 'epoch': 1.76} -{'loss': 0.4703, 'grad_norm': 0.7969313859939575, 'learning_rate': 8.248201438848922e-05, 'epoch': 1.77} -{'loss': 0.4719, 'grad_norm': 2.1743662357330322, 'learning_rate': 8.246402877697841e-05, 'epoch': 1.77} -{'loss': 0.4687, 'grad_norm': 1.801274061203003, 'learning_rate': 8.244604316546764e-05, 'epoch': 1.77} -{'loss': 0.4837, 'grad_norm': 1.2942779064178467, 'learning_rate': 8.242805755395684e-05, 'epoch': 1.77} -{'loss': 0.4849, 'grad_norm': 1.3720098733901978, 'learning_rate': 8.241007194244604e-05, 'epoch': 1.77} -{'loss': 0.487, 'grad_norm': 2.3845746517181396, 'learning_rate': 8.239208633093526e-05, 'epoch': 1.78} -{'loss': 0.4789, 'grad_norm': 1.9793577194213867, 'learning_rate': 8.237410071942447e-05, 'epoch': 1.78} - 18%|████████████████▌ | 1000/5570 [16:02<1:02:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47765663266181946, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.309, 'eval_steps_per_second': 3.911, 'epoch': 1.78} -{'loss': 0.4725, 'grad_norm': 1.8919991254806519, 'learning_rate': 8.235611510791367e-05, 'epoch': 1.78} -{'loss': 0.479, 'grad_norm': 2.717600107192993, 'learning_rate': 8.233812949640288e-05, 'epoch': 1.78} -{'loss': 0.4888, 'grad_norm': 2.339325189590454, 'learning_rate': 8.232014388489209e-05, 'epoch': 1.78} -{'loss': 0.4799, 'grad_norm': 1.039367437362671, 'learning_rate': 8.23021582733813e-05, 'epoch': 1.78} -{'loss': 0.4825, 'grad_norm': 4.351336479187012, 'learning_rate': 8.22841726618705e-05, 'epoch': 1.79} -{'loss': 0.4957, 'grad_norm': 4.370532512664795, 'learning_rate': 8.226618705035971e-05, 'epoch': 1.79} -{'loss': 0.5019, 'grad_norm': 4.3828935623168945, 'learning_rate': 8.224820143884892e-05, 'epoch': 1.79} -{'loss': 0.4878, 'grad_norm': 2.408322334289551, 'learning_rate': 8.223021582733813e-05, 'epoch': 1.79} -{'loss': 0.4869, 'grad_norm': 3.331606388092041, 'learning_rate': 8.221223021582735e-05, 'epoch': 1.79} -{'loss': 0.4768, 'grad_norm': 2.053811550140381, 'learning_rate': 8.219424460431654e-05, 'epoch': 1.8} - 18%|████████████████▋ | 1010/5570 [16:12<1:01:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4836738109588623, 'eval_runtime': 1.5496, 'eval_samples_per_second': 464.633, 'eval_steps_per_second': 3.872, 'epoch': 1.8} -{'loss': 0.4807, 'grad_norm': 4.394715309143066, 'learning_rate': 8.217625899280575e-05, 'epoch': 1.8} -{'loss': 0.499, 'grad_norm': 6.137357711791992, 'learning_rate': 8.215827338129497e-05, 'epoch': 1.8} -{'loss': 0.4961, 'grad_norm': 1.9842698574066162, 'learning_rate': 8.214028776978418e-05, 'epoch': 1.8} -{'loss': 0.4904, 'grad_norm': 3.3518154621124268, 'learning_rate': 8.212230215827339e-05, 'epoch': 1.8} -{'loss': 0.4827, 'grad_norm': 4.014338970184326, 'learning_rate': 8.21043165467626e-05, 'epoch': 1.8} -{'loss': 0.4812, 'grad_norm': 1.363158941268921, 'learning_rate': 8.20863309352518e-05, 'epoch': 1.81} -{'loss': 0.4836, 'grad_norm': 0.8358814716339111, 'learning_rate': 8.206834532374101e-05, 'epoch': 1.81} -{'loss': 0.481, 'grad_norm': 3.7648448944091797, 'learning_rate': 8.205035971223022e-05, 'epoch': 1.81} -{'loss': 0.4761, 'grad_norm': 2.6463944911956787, 'learning_rate': 8.203237410071943e-05, 'epoch': 1.81} -{'loss': 0.4856, 'grad_norm': 3.35705304145813, 'learning_rate': 8.201438848920863e-05, 'epoch': 1.81} - 18%|████████████████▊ | 1020/5570 [16:21<1:01:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47304826974868774, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.21, 'eval_steps_per_second': 3.91, 'epoch': 1.81} -{'loss': 0.4799, 'grad_norm': 2.158428192138672, 'learning_rate': 8.199640287769784e-05, 'epoch': 1.82} -{'loss': 0.4723, 'grad_norm': 1.1457288265228271, 'learning_rate': 8.197841726618706e-05, 'epoch': 1.82} -{'loss': 0.4863, 'grad_norm': 2.214169502258301, 'learning_rate': 8.196043165467626e-05, 'epoch': 1.82} -{'loss': 0.4802, 'grad_norm': 1.4024333953857422, 'learning_rate': 8.194244604316547e-05, 'epoch': 1.82} -{'loss': 0.4832, 'grad_norm': 2.5499024391174316, 'learning_rate': 8.192446043165469e-05, 'epoch': 1.82} -{'loss': 0.4892, 'grad_norm': 4.714053630828857, 'learning_rate': 8.190647482014388e-05, 'epoch': 1.82} -{'loss': 0.4924, 'grad_norm': 2.2392337322235107, 'learning_rate': 8.18884892086331e-05, 'epoch': 1.83} -{'loss': 0.4668, 'grad_norm': 3.7551565170288086, 'learning_rate': 8.187050359712231e-05, 'epoch': 1.83} -{'loss': 0.4813, 'grad_norm': 3.250168800354004, 'learning_rate': 8.18525179856115e-05, 'epoch': 1.83} -{'loss': 0.4823, 'grad_norm': 2.0283195972442627, 'learning_rate': 8.183453237410073e-05, 'epoch': 1.83} - 18%|█████████████████ | 1030/5570 [16:31<1:01:20, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47352227568626404, 'eval_runtime': 1.5347, 'eval_samples_per_second': 469.135, 'eval_steps_per_second': 3.909, 'epoch': 1.83} -{'loss': 0.4892, 'grad_norm': 3.3877103328704834, 'learning_rate': 8.181654676258993e-05, 'epoch': 1.83} -{'loss': 0.4809, 'grad_norm': 1.0904814004898071, 'learning_rate': 8.179856115107914e-05, 'epoch': 1.83} -{'loss': 0.4671, 'grad_norm': 1.2796679735183716, 'learning_rate': 8.178057553956835e-05, 'epoch': 1.84} -{'loss': 0.4737, 'grad_norm': 2.0706984996795654, 'learning_rate': 8.176258992805756e-05, 'epoch': 1.84} -{'loss': 0.4699, 'grad_norm': 1.6301836967468262, 'learning_rate': 8.174460431654676e-05, 'epoch': 1.84} -{'loss': 0.4819, 'grad_norm': 1.4772920608520508, 'learning_rate': 8.172661870503597e-05, 'epoch': 1.84} -{'loss': 0.4735, 'grad_norm': 1.4158530235290527, 'learning_rate': 8.170863309352519e-05, 'epoch': 1.84} -{'loss': 0.4731, 'grad_norm': 3.333458662033081, 'learning_rate': 8.169064748201439e-05, 'epoch': 1.85} -{'loss': 0.4756, 'grad_norm': 2.589686870574951, 'learning_rate': 8.16726618705036e-05, 'epoch': 1.85} -{'loss': 0.4796, 'grad_norm': 1.4607422351837158, 'learning_rate': 8.165467625899282e-05, 'epoch': 1.85} - 19%|█████████████████▏ | 1040/5570 [16:41<1:01:10, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47331997752189636, 'eval_runtime': 1.5425, 'eval_samples_per_second': 466.77, 'eval_steps_per_second': 3.89, 'epoch': 1.85} -{'loss': 0.481, 'grad_norm': 4.146385669708252, 'learning_rate': 8.163669064748202e-05, 'epoch': 1.85} -{'loss': 0.466, 'grad_norm': 3.2478904724121094, 'learning_rate': 8.161870503597123e-05, 'epoch': 1.85} -{'loss': 0.48, 'grad_norm': 3.013747453689575, 'learning_rate': 8.160071942446044e-05, 'epoch': 1.85} -{'loss': 0.4825, 'grad_norm': 0.7643224000930786, 'learning_rate': 8.158273381294965e-05, 'epoch': 1.86} -{'loss': 0.4767, 'grad_norm': 2.318037271499634, 'learning_rate': 8.156474820143885e-05, 'epoch': 1.86} -{'loss': 0.4844, 'grad_norm': 2.8824541568756104, 'learning_rate': 8.154676258992806e-05, 'epoch': 1.86} -{'loss': 0.4715, 'grad_norm': 3.2581372261047363, 'learning_rate': 8.152877697841727e-05, 'epoch': 1.86} -{'loss': 0.4795, 'grad_norm': 1.591807246208191, 'learning_rate': 8.151079136690648e-05, 'epoch': 1.86} -{'loss': 0.4824, 'grad_norm': 1.1648893356323242, 'learning_rate': 8.149280575539569e-05, 'epoch': 1.87} -{'loss': 0.4763, 'grad_norm': 2.4438414573669434, 'learning_rate': 8.14748201438849e-05, 'epoch': 1.87} - 19%|█████████████████▎ | 1050/5570 [16:50<1:01:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4718939960002899, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.031, 'eval_steps_per_second': 3.925, 'epoch': 1.87} -{'loss': 0.4757, 'grad_norm': 1.3972469568252563, 'learning_rate': 8.14568345323741e-05, 'epoch': 1.87} -{'loss': 0.477, 'grad_norm': 1.4860719442367554, 'learning_rate': 8.143884892086331e-05, 'epoch': 1.87} -{'loss': 0.4687, 'grad_norm': 1.6783792972564697, 'learning_rate': 8.142086330935253e-05, 'epoch': 1.87} -{'loss': 0.4778, 'grad_norm': 0.9410946369171143, 'learning_rate': 8.140287769784172e-05, 'epoch': 1.87} -{'loss': 0.4852, 'grad_norm': 1.51326322555542, 'learning_rate': 8.138489208633095e-05, 'epoch': 1.88} -{'loss': 0.4719, 'grad_norm': 1.3789749145507812, 'learning_rate': 8.136690647482015e-05, 'epoch': 1.88} -{'loss': 0.4742, 'grad_norm': 0.7357735633850098, 'learning_rate': 8.134892086330935e-05, 'epoch': 1.88} -{'loss': 0.4772, 'grad_norm': 1.2510826587677002, 'learning_rate': 8.133093525179857e-05, 'epoch': 1.88} -{'loss': 0.4803, 'grad_norm': 1.5270963907241821, 'learning_rate': 8.131294964028778e-05, 'epoch': 1.88} -{'loss': 0.4724, 'grad_norm': 1.118129849433899, 'learning_rate': 8.129496402877698e-05, 'epoch': 1.89} - 19%|█████████████████▌ | 1060/5570 [17:00<1:01:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4697311818599701, 'eval_runtime': 1.5252, 'eval_samples_per_second': 472.066, 'eval_steps_per_second': 3.934, 'epoch': 1.89} -{'loss': 0.4816, 'grad_norm': 1.384832501411438, 'learning_rate': 8.127697841726619e-05, 'epoch': 1.89} -{'loss': 0.4749, 'grad_norm': 1.4472987651824951, 'learning_rate': 8.12589928057554e-05, 'epoch': 1.89} -{'loss': 0.4794, 'grad_norm': 1.5206011533737183, 'learning_rate': 8.124100719424461e-05, 'epoch': 1.89} -{'loss': 0.4864, 'grad_norm': 1.6960537433624268, 'learning_rate': 8.122302158273381e-05, 'epoch': 1.89} -{'loss': 0.4762, 'grad_norm': 1.2120620012283325, 'learning_rate': 8.120503597122302e-05, 'epoch': 1.89} -{'loss': 0.4749, 'grad_norm': 1.2735742330551147, 'learning_rate': 8.118705035971223e-05, 'epoch': 1.9} -{'loss': 0.4827, 'grad_norm': 2.609769582748413, 'learning_rate': 8.116906474820144e-05, 'epoch': 1.9} -{'loss': 0.4869, 'grad_norm': 1.272004246711731, 'learning_rate': 8.115107913669066e-05, 'epoch': 1.9} -{'loss': 0.4741, 'grad_norm': 1.3121939897537231, 'learning_rate': 8.113309352517985e-05, 'epoch': 1.9} -{'loss': 0.4782, 'grad_norm': 1.0652130842208862, 'learning_rate': 8.111510791366906e-05, 'epoch': 1.9} - 19%|█████████████████▋ | 1070/5570 [17:09<1:00:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4732528626918793, 'eval_runtime': 1.5376, 'eval_samples_per_second': 468.259, 'eval_steps_per_second': 3.902, 'epoch': 1.9} -{'loss': 0.4805, 'grad_norm': 2.9854698181152344, 'learning_rate': 8.109712230215828e-05, 'epoch': 1.9} -{'loss': 0.4764, 'grad_norm': 3.605475902557373, 'learning_rate': 8.107913669064749e-05, 'epoch': 1.91} -{'loss': 0.4732, 'grad_norm': 1.5681034326553345, 'learning_rate': 8.10611510791367e-05, 'epoch': 1.91} -{'loss': 0.4714, 'grad_norm': 2.4443161487579346, 'learning_rate': 8.10431654676259e-05, 'epoch': 1.91} -{'loss': 0.4836, 'grad_norm': 1.1389638185501099, 'learning_rate': 8.102517985611511e-05, 'epoch': 1.91} -{'loss': 0.4869, 'grad_norm': 3.5153889656066895, 'learning_rate': 8.100719424460432e-05, 'epoch': 1.91} -{'loss': 0.4837, 'grad_norm': 2.2643561363220215, 'learning_rate': 8.098920863309353e-05, 'epoch': 1.92} -{'loss': 0.4824, 'grad_norm': 4.894264221191406, 'learning_rate': 8.097122302158274e-05, 'epoch': 1.92} -{'loss': 0.4808, 'grad_norm': 5.161406517028809, 'learning_rate': 8.095323741007194e-05, 'epoch': 1.92} -{'loss': 0.4786, 'grad_norm': 1.7358464002609253, 'learning_rate': 8.093525179856115e-05, 'epoch': 1.92} - 19%|█████████████████▊ | 1080/5570 [17:19<1:01:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47606638073921204, 'eval_runtime': 1.527, 'eval_samples_per_second': 471.505, 'eval_steps_per_second': 3.929, 'epoch': 1.92} -{'loss': 0.4842, 'grad_norm': 5.644657611846924, 'learning_rate': 8.091726618705037e-05, 'epoch': 1.92} -{'loss': 0.473, 'grad_norm': 2.8734469413757324, 'learning_rate': 8.089928057553957e-05, 'epoch': 1.92} -{'loss': 0.4789, 'grad_norm': 3.539959192276001, 'learning_rate': 8.088129496402877e-05, 'epoch': 1.93} -{'loss': 0.4764, 'grad_norm': 2.808323621749878, 'learning_rate': 8.0863309352518e-05, 'epoch': 1.93} -{'loss': 0.4743, 'grad_norm': 2.7315077781677246, 'learning_rate': 8.084532374100719e-05, 'epoch': 1.93} -{'loss': 0.4797, 'grad_norm': 0.9540007710456848, 'learning_rate': 8.082733812949641e-05, 'epoch': 1.93} -{'loss': 0.4868, 'grad_norm': 1.1377581357955933, 'learning_rate': 8.080935251798562e-05, 'epoch': 1.93} -{'loss': 0.473, 'grad_norm': 1.9151643514633179, 'learning_rate': 8.079136690647481e-05, 'epoch': 1.94} -{'loss': 0.4797, 'grad_norm': 1.2689452171325684, 'learning_rate': 8.077338129496403e-05, 'epoch': 1.94} -{'loss': 0.475, 'grad_norm': 3.7245092391967773, 'learning_rate': 8.075539568345324e-05, 'epoch': 1.94} - 20%|██████████████████ | 1090/5570 [17:28<1:01:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4763812720775604, 'eval_runtime': 1.5335, 'eval_samples_per_second': 469.524, 'eval_steps_per_second': 3.913, 'epoch': 1.94} -{'loss': 0.4673, 'grad_norm': 2.9510438442230225, 'learning_rate': 8.073741007194245e-05, 'epoch': 1.94} -{'loss': 0.484, 'grad_norm': 0.9506198763847351, 'learning_rate': 8.071942446043166e-05, 'epoch': 1.94} -{'loss': 0.4783, 'grad_norm': 3.809999704360962, 'learning_rate': 8.070143884892087e-05, 'epoch': 1.94} -{'loss': 0.4823, 'grad_norm': 2.3038859367370605, 'learning_rate': 8.068345323741007e-05, 'epoch': 1.95} -{'loss': 0.4811, 'grad_norm': 1.3915904760360718, 'learning_rate': 8.066546762589928e-05, 'epoch': 1.95} -{'loss': 0.4815, 'grad_norm': 2.2871487140655518, 'learning_rate': 8.06474820143885e-05, 'epoch': 1.95} -{'loss': 0.4561, 'grad_norm': 2.4287216663360596, 'learning_rate': 8.06294964028777e-05, 'epoch': 1.95} -{'loss': 0.4818, 'grad_norm': 1.358286738395691, 'learning_rate': 8.06115107913669e-05, 'epoch': 1.95} -{'loss': 0.4876, 'grad_norm': 2.789358615875244, 'learning_rate': 8.059352517985613e-05, 'epoch': 1.96} -{'loss': 0.4852, 'grad_norm': 2.918043375015259, 'learning_rate': 8.057553956834533e-05, 'epoch': 1.96} - 20%|██████████████████▏ | 1100/5570 [17:38<1:00:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4735293984413147, 'eval_runtime': 1.5359, 'eval_samples_per_second': 468.785, 'eval_steps_per_second': 3.907, 'epoch': 1.96} -{'loss': 0.4746, 'grad_norm': 1.8563047647476196, 'learning_rate': 8.055755395683454e-05, 'epoch': 1.96} -{'loss': 0.4716, 'grad_norm': 3.022094488143921, 'learning_rate': 8.053956834532375e-05, 'epoch': 1.96} -{'loss': 0.4844, 'grad_norm': 3.5237491130828857, 'learning_rate': 8.052158273381296e-05, 'epoch': 1.96} -{'loss': 0.4739, 'grad_norm': 1.3999966382980347, 'learning_rate': 8.050359712230216e-05, 'epoch': 1.96} -{'loss': 0.471, 'grad_norm': 1.814521074295044, 'learning_rate': 8.048561151079137e-05, 'epoch': 1.97} -{'loss': 0.4832, 'grad_norm': 2.230679988861084, 'learning_rate': 8.046762589928058e-05, 'epoch': 1.97} -{'loss': 0.4756, 'grad_norm': 1.4183229207992554, 'learning_rate': 8.044964028776979e-05, 'epoch': 1.97} -{'loss': 0.4821, 'grad_norm': 2.0173425674438477, 'learning_rate': 8.0431654676259e-05, 'epoch': 1.97} -{'loss': 0.4901, 'grad_norm': 3.201033115386963, 'learning_rate': 8.041366906474822e-05, 'epoch': 1.97} -{'loss': 0.4848, 'grad_norm': 3.491208791732788, 'learning_rate': 8.039568345323741e-05, 'epoch': 1.97} - 20%|██████████████████▎ | 1110/5570 [17:47<1:00:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4718196392059326, 'eval_runtime': 1.5427, 'eval_samples_per_second': 466.729, 'eval_steps_per_second': 3.889, 'epoch': 1.97} -{'loss': 0.4719, 'grad_norm': 2.6124820709228516, 'learning_rate': 8.037769784172662e-05, 'epoch': 1.98} -{'loss': 0.4795, 'grad_norm': 1.790003776550293, 'learning_rate': 8.035971223021584e-05, 'epoch': 1.98} -{'loss': 0.4697, 'grad_norm': 1.9366947412490845, 'learning_rate': 8.034172661870503e-05, 'epoch': 1.98} -{'loss': 0.4861, 'grad_norm': 2.622302532196045, 'learning_rate': 8.032374100719425e-05, 'epoch': 1.98} -{'loss': 0.4805, 'grad_norm': 1.6345347166061401, 'learning_rate': 8.030575539568346e-05, 'epoch': 1.98} -{'loss': 0.4796, 'grad_norm': 2.131304979324341, 'learning_rate': 8.028776978417266e-05, 'epoch': 1.99} -{'loss': 0.4839, 'grad_norm': 2.101142168045044, 'learning_rate': 8.026978417266188e-05, 'epoch': 1.99} -{'loss': 0.4764, 'grad_norm': 3.174745559692383, 'learning_rate': 8.025179856115109e-05, 'epoch': 1.99} -{'loss': 0.4678, 'grad_norm': 0.6146369576454163, 'learning_rate': 8.023381294964029e-05, 'epoch': 1.99} -{'loss': 0.4689, 'grad_norm': 1.2387771606445312, 'learning_rate': 8.02158273381295e-05, 'epoch': 1.99} - 20%|██████████████████▉ | 1120/5570 [17:56<58:33, 1.27it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47118085622787476, 'eval_runtime': 1.561, 'eval_samples_per_second': 461.228, 'eval_steps_per_second': 3.844, 'epoch': 1.99} -{'loss': 0.4756, 'grad_norm': 1.1504795551300049, 'learning_rate': 8.019784172661871e-05, 'epoch': 1.99} -{'loss': 0.4776, 'grad_norm': 1.314009189605713, 'learning_rate': 8.017985611510792e-05, 'epoch': 2.0} -{'loss': 0.4708, 'grad_norm': 2.355635166168213, 'learning_rate': 8.016187050359712e-05, 'epoch': 2.0} -{'loss': 0.4789, 'grad_norm': 2.559948444366455, 'learning_rate': 8.014388489208633e-05, 'epoch': 2.0} -{'loss': 0.4668, 'grad_norm': 2.210402250289917, 'learning_rate': 8.012589928057554e-05, 'epoch': 2.0} -{'loss': 0.4732, 'grad_norm': 1.5928008556365967, 'learning_rate': 8.010791366906475e-05, 'epoch': 2.0} -{'loss': 0.4682, 'grad_norm': 1.5962681770324707, 'learning_rate': 8.008992805755397e-05, 'epoch': 2.01} -{'loss': 0.4786, 'grad_norm': 1.1880171298980713, 'learning_rate': 8.007194244604316e-05, 'epoch': 2.01} -{'loss': 0.474, 'grad_norm': 1.5151946544647217, 'learning_rate': 8.005395683453237e-05, 'epoch': 2.01} -{'loss': 0.4696, 'grad_norm': 2.677135705947876, 'learning_rate': 8.003597122302159e-05, 'epoch': 2.01} - 20%|██████████████████▋ | 1130/5570 [18:06<1:00:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47147828340530396, 'eval_runtime': 1.5503, 'eval_samples_per_second': 464.417, 'eval_steps_per_second': 3.87, 'epoch': 2.01} -{'loss': 0.4646, 'grad_norm': 1.9752846956253052, 'learning_rate': 8.00179856115108e-05, 'epoch': 2.01} -{'loss': 0.479, 'grad_norm': 1.8881152868270874, 'learning_rate': 8e-05, 'epoch': 2.01} -{'loss': 0.4767, 'grad_norm': 0.576393723487854, 'learning_rate': 7.998201438848921e-05, 'epoch': 2.02} -{'loss': 0.4819, 'grad_norm': 1.6837351322174072, 'learning_rate': 7.996402877697842e-05, 'epoch': 2.02} -{'loss': 0.4761, 'grad_norm': 1.292557954788208, 'learning_rate': 7.994604316546763e-05, 'epoch': 2.02} -{'loss': 0.4648, 'grad_norm': 1.6080527305603027, 'learning_rate': 7.992805755395684e-05, 'epoch': 2.02} -{'loss': 0.4677, 'grad_norm': 1.0084000825881958, 'learning_rate': 7.991007194244606e-05, 'epoch': 2.02} -{'loss': 0.4719, 'grad_norm': 1.0477359294891357, 'learning_rate': 7.989208633093525e-05, 'epoch': 2.03} -{'loss': 0.4743, 'grad_norm': 1.5371090173721313, 'learning_rate': 7.987410071942446e-05, 'epoch': 2.03} -{'loss': 0.4763, 'grad_norm': 1.4696823358535767, 'learning_rate': 7.985611510791368e-05, 'epoch': 2.03} - 20%|██████████████████▊ | 1140/5570 [18:16<1:00:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47021475434303284, 'eval_runtime': 1.5451, 'eval_samples_per_second': 465.995, 'eval_steps_per_second': 3.883, 'epoch': 2.03} -{'loss': 0.4787, 'grad_norm': 4.901843547821045, 'learning_rate': 7.983812949640288e-05, 'epoch': 2.03} -{'loss': 0.4709, 'grad_norm': 1.3989421129226685, 'learning_rate': 7.982014388489208e-05, 'epoch': 2.03} -{'loss': 0.4826, 'grad_norm': 1.1514400243759155, 'learning_rate': 7.98021582733813e-05, 'epoch': 2.03} -{'loss': 0.4778, 'grad_norm': 3.5176703929901123, 'learning_rate': 7.97841726618705e-05, 'epoch': 2.04} -{'loss': 0.4799, 'grad_norm': 4.738656044006348, 'learning_rate': 7.976618705035972e-05, 'epoch': 2.04} -{'loss': 0.4806, 'grad_norm': 3.124474048614502, 'learning_rate': 7.974820143884893e-05, 'epoch': 2.04} -{'loss': 0.469, 'grad_norm': 1.861525535583496, 'learning_rate': 7.973021582733812e-05, 'epoch': 2.04} -{'loss': 0.48, 'grad_norm': 2.308619976043701, 'learning_rate': 7.971223021582734e-05, 'epoch': 2.04} -{'loss': 0.4718, 'grad_norm': 2.5447845458984375, 'learning_rate': 7.969424460431655e-05, 'epoch': 2.04} -{'loss': 0.4704, 'grad_norm': 1.394013524055481, 'learning_rate': 7.967625899280576e-05, 'epoch': 2.05} - 21%|██████████████████▉ | 1150/5570 [18:25<1:00:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4711358845233917, 'eval_runtime': 1.5414, 'eval_samples_per_second': 467.099, 'eval_steps_per_second': 3.892, 'epoch': 2.05} -{'loss': 0.4747, 'grad_norm': 2.072237730026245, 'learning_rate': 7.965827338129497e-05, 'epoch': 2.05} -{'loss': 0.4694, 'grad_norm': 1.3131333589553833, 'learning_rate': 7.964028776978417e-05, 'epoch': 2.05} -{'loss': 0.4732, 'grad_norm': 2.86932635307312, 'learning_rate': 7.962230215827338e-05, 'epoch': 2.05} -{'loss': 0.4728, 'grad_norm': 1.6666910648345947, 'learning_rate': 7.960431654676259e-05, 'epoch': 2.05} -{'loss': 0.4862, 'grad_norm': 2.0229110717773438, 'learning_rate': 7.958633093525181e-05, 'epoch': 2.06} -{'loss': 0.4808, 'grad_norm': 2.2585973739624023, 'learning_rate': 7.9568345323741e-05, 'epoch': 2.06} -{'loss': 0.4774, 'grad_norm': 1.513222336769104, 'learning_rate': 7.955035971223021e-05, 'epoch': 2.06} -{'loss': 0.4712, 'grad_norm': 2.4937286376953125, 'learning_rate': 7.953237410071943e-05, 'epoch': 2.06} -{'loss': 0.4819, 'grad_norm': 1.9939179420471191, 'learning_rate': 7.951438848920864e-05, 'epoch': 2.06} -{'loss': 0.4762, 'grad_norm': 2.086383819580078, 'learning_rate': 7.949640287769785e-05, 'epoch': 2.06} - 21%|███████████████████▌ | 1160/5570 [18:35<59:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4676569700241089, 'eval_runtime': 1.529, 'eval_samples_per_second': 470.911, 'eval_steps_per_second': 3.924, 'epoch': 2.06} -{'loss': 0.4745, 'grad_norm': 1.592251181602478, 'learning_rate': 7.947841726618706e-05, 'epoch': 2.07} -{'loss': 0.4781, 'grad_norm': 2.378552198410034, 'learning_rate': 7.946043165467626e-05, 'epoch': 2.07} -{'loss': 0.4835, 'grad_norm': 2.45090913772583, 'learning_rate': 7.944244604316547e-05, 'epoch': 2.07} -{'loss': 0.475, 'grad_norm': 2.254815101623535, 'learning_rate': 7.942446043165468e-05, 'epoch': 2.07} -{'loss': 0.4689, 'grad_norm': 3.6519296169281006, 'learning_rate': 7.940647482014389e-05, 'epoch': 2.07} -{'loss': 0.4872, 'grad_norm': 3.000361680984497, 'learning_rate': 7.93884892086331e-05, 'epoch': 2.08} -{'loss': 0.4698, 'grad_norm': 1.782052755355835, 'learning_rate': 7.93705035971223e-05, 'epoch': 2.08} -{'loss': 0.472, 'grad_norm': 1.6092686653137207, 'learning_rate': 7.935251798561152e-05, 'epoch': 2.08} -{'loss': 0.4735, 'grad_norm': 0.8123979568481445, 'learning_rate': 7.933453237410072e-05, 'epoch': 2.08} -{'loss': 0.4645, 'grad_norm': 3.4119768142700195, 'learning_rate': 7.931654676258993e-05, 'epoch': 2.08} - 21%|███████████████████▎ | 1170/5570 [18:44<1:00:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46747004985809326, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.654, 'eval_steps_per_second': 3.905, 'epoch': 2.08} -{'loss': 0.481, 'grad_norm': 3.064060926437378, 'learning_rate': 7.929856115107915e-05, 'epoch': 2.08} -{'loss': 0.4662, 'grad_norm': 0.7886653542518616, 'learning_rate': 7.928057553956834e-05, 'epoch': 2.09} -{'loss': 0.4791, 'grad_norm': 5.088109970092773, 'learning_rate': 7.926258992805756e-05, 'epoch': 2.09} -{'loss': 0.4821, 'grad_norm': 2.8530428409576416, 'learning_rate': 7.924460431654677e-05, 'epoch': 2.09} -{'loss': 0.4712, 'grad_norm': 2.1368887424468994, 'learning_rate': 7.922661870503597e-05, 'epoch': 2.09} -{'loss': 0.4745, 'grad_norm': 3.1372556686401367, 'learning_rate': 7.920863309352519e-05, 'epoch': 2.09} -{'loss': 0.4768, 'grad_norm': 4.410902500152588, 'learning_rate': 7.91906474820144e-05, 'epoch': 2.1} -{'loss': 0.4654, 'grad_norm': 2.2007462978363037, 'learning_rate': 7.91726618705036e-05, 'epoch': 2.1} -{'loss': 0.4714, 'grad_norm': 2.2572789192199707, 'learning_rate': 7.915467625899281e-05, 'epoch': 2.1} -{'loss': 0.4701, 'grad_norm': 2.186652421951294, 'learning_rate': 7.913669064748202e-05, 'epoch': 2.1} - 21%|███████████████████▉ | 1180/5570 [18:54<59:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4677412211894989, 'eval_runtime': 1.5533, 'eval_samples_per_second': 463.536, 'eval_steps_per_second': 3.863, 'epoch': 2.1} -{'loss': 0.471, 'grad_norm': 1.4391462802886963, 'learning_rate': 7.911870503597122e-05, 'epoch': 2.1} -{'loss': 0.4632, 'grad_norm': 1.906213402748108, 'learning_rate': 7.910071942446043e-05, 'epoch': 2.1} -{'loss': 0.4847, 'grad_norm': 2.518181324005127, 'learning_rate': 7.908273381294964e-05, 'epoch': 2.11} -{'loss': 0.477, 'grad_norm': 2.693406820297241, 'learning_rate': 7.906474820143885e-05, 'epoch': 2.11} -{'loss': 0.4731, 'grad_norm': 1.9176970720291138, 'learning_rate': 7.904676258992806e-05, 'epoch': 2.11} -{'loss': 0.4753, 'grad_norm': 2.7011258602142334, 'learning_rate': 7.902877697841728e-05, 'epoch': 2.11} -{'loss': 0.4751, 'grad_norm': 2.013619899749756, 'learning_rate': 7.901079136690648e-05, 'epoch': 2.11} -{'loss': 0.4632, 'grad_norm': 1.6845192909240723, 'learning_rate': 7.899280575539568e-05, 'epoch': 2.11} -{'loss': 0.4709, 'grad_norm': 1.8645329475402832, 'learning_rate': 7.89748201438849e-05, 'epoch': 2.12} -{'loss': 0.469, 'grad_norm': 1.4630210399627686, 'learning_rate': 7.895683453237411e-05, 'epoch': 2.12} - 21%|████████████████████ | 1190/5570 [19:04<59:25, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4671807289123535, 'eval_runtime': 1.5399, 'eval_samples_per_second': 467.568, 'eval_steps_per_second': 3.896, 'epoch': 2.12} -{'loss': 0.4695, 'grad_norm': 2.577991008758545, 'learning_rate': 7.893884892086332e-05, 'epoch': 2.12} -{'loss': 0.4631, 'grad_norm': 0.9647970795631409, 'learning_rate': 7.892086330935252e-05, 'epoch': 2.12} -{'loss': 0.4709, 'grad_norm': 1.2271132469177246, 'learning_rate': 7.890287769784173e-05, 'epoch': 2.12} -{'loss': 0.4723, 'grad_norm': 2.10953950881958, 'learning_rate': 7.888489208633094e-05, 'epoch': 2.13} -{'loss': 0.4811, 'grad_norm': 1.8490443229675293, 'learning_rate': 7.886690647482015e-05, 'epoch': 2.13} -{'loss': 0.4776, 'grad_norm': 1.82979416847229, 'learning_rate': 7.884892086330937e-05, 'epoch': 2.13} -{'loss': 0.4806, 'grad_norm': 3.7545711994171143, 'learning_rate': 7.883093525179856e-05, 'epoch': 2.13} -{'loss': 0.4658, 'grad_norm': 2.695688009262085, 'learning_rate': 7.881294964028777e-05, 'epoch': 2.13} -{'loss': 0.4785, 'grad_norm': 1.677515983581543, 'learning_rate': 7.879496402877699e-05, 'epoch': 2.13} -{'loss': 0.4702, 'grad_norm': 2.8639466762542725, 'learning_rate': 7.877697841726618e-05, 'epoch': 2.14} - 22%|████████████████████▎ | 1200/5570 [19:13<59:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46762004494667053, 'eval_runtime': 1.5403, 'eval_samples_per_second': 467.427, 'eval_steps_per_second': 3.895, 'epoch': 2.14} -{'loss': 0.4659, 'grad_norm': 3.2516143321990967, 'learning_rate': 7.87589928057554e-05, 'epoch': 2.14} -{'loss': 0.47, 'grad_norm': 0.9484095573425293, 'learning_rate': 7.874100719424461e-05, 'epoch': 2.14} -{'loss': 0.4643, 'grad_norm': 2.343092679977417, 'learning_rate': 7.872302158273381e-05, 'epoch': 2.14} -{'loss': 0.4628, 'grad_norm': 1.7778972387313843, 'learning_rate': 7.870503597122303e-05, 'epoch': 2.14} -{'loss': 0.4885, 'grad_norm': 3.1216328144073486, 'learning_rate': 7.868705035971224e-05, 'epoch': 2.15} -{'loss': 0.4709, 'grad_norm': 2.5326640605926514, 'learning_rate': 7.866906474820143e-05, 'epoch': 2.15} -{'loss': 0.4617, 'grad_norm': 1.0772182941436768, 'learning_rate': 7.865107913669065e-05, 'epoch': 2.15} -{'loss': 0.4685, 'grad_norm': 3.933905839920044, 'learning_rate': 7.863309352517986e-05, 'epoch': 2.15} -{'loss': 0.4773, 'grad_norm': 2.5509116649627686, 'learning_rate': 7.861510791366907e-05, 'epoch': 2.15} -{'loss': 0.4731, 'grad_norm': 1.0476442575454712, 'learning_rate': 7.859712230215828e-05, 'epoch': 2.15} - 22%|████████████████████▍ | 1210/5570 [19:23<59:14, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4651605486869812, 'eval_runtime': 1.5444, 'eval_samples_per_second': 466.206, 'eval_steps_per_second': 3.885, 'epoch': 2.15} -{'loss': 0.4605, 'grad_norm': 1.2286627292633057, 'learning_rate': 7.857913669064748e-05, 'epoch': 2.16} -{'loss': 0.4733, 'grad_norm': 4.026198863983154, 'learning_rate': 7.856115107913669e-05, 'epoch': 2.16} -{'loss': 0.4702, 'grad_norm': 2.423095464706421, 'learning_rate': 7.85431654676259e-05, 'epoch': 2.16} -{'loss': 0.4793, 'grad_norm': 0.953605055809021, 'learning_rate': 7.852517985611512e-05, 'epoch': 2.16} -{'loss': 0.4775, 'grad_norm': 2.9416911602020264, 'learning_rate': 7.850719424460431e-05, 'epoch': 2.16} -{'loss': 0.4789, 'grad_norm': 0.9498765468597412, 'learning_rate': 7.848920863309352e-05, 'epoch': 2.17} -{'loss': 0.4777, 'grad_norm': 4.710486888885498, 'learning_rate': 7.847122302158274e-05, 'epoch': 2.17} -{'loss': 0.4798, 'grad_norm': 6.833466529846191, 'learning_rate': 7.845323741007195e-05, 'epoch': 2.17} -{'loss': 0.4714, 'grad_norm': 5.768692970275879, 'learning_rate': 7.843525179856116e-05, 'epoch': 2.17} -{'loss': 0.4835, 'grad_norm': 4.222472190856934, 'learning_rate': 7.841726618705037e-05, 'epoch': 2.17} - 22%|████████████████████▌ | 1220/5570 [19:32<59:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4795636534690857, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.778, 'eval_steps_per_second': 3.915, 'epoch': 2.17} -{'loss': 0.4788, 'grad_norm': 4.257965087890625, 'learning_rate': 7.839928057553957e-05, 'epoch': 2.17} -{'loss': 0.4741, 'grad_norm': 2.142475128173828, 'learning_rate': 7.838129496402878e-05, 'epoch': 2.18} -{'loss': 0.4773, 'grad_norm': 3.0349297523498535, 'learning_rate': 7.836330935251799e-05, 'epoch': 2.18} -{'loss': 0.4669, 'grad_norm': 1.9645262956619263, 'learning_rate': 7.83453237410072e-05, 'epoch': 2.18} -{'loss': 0.4721, 'grad_norm': 0.802331268787384, 'learning_rate': 7.83273381294964e-05, 'epoch': 2.18} -{'loss': 0.462, 'grad_norm': 0.8699285984039307, 'learning_rate': 7.830935251798561e-05, 'epoch': 2.18} -{'loss': 0.4625, 'grad_norm': 1.084553599357605, 'learning_rate': 7.829136690647483e-05, 'epoch': 2.18} -{'loss': 0.4665, 'grad_norm': 0.97963547706604, 'learning_rate': 7.827338129496403e-05, 'epoch': 2.19} -{'loss': 0.4736, 'grad_norm': 3.677358388900757, 'learning_rate': 7.825539568345324e-05, 'epoch': 2.19} -{'loss': 0.4714, 'grad_norm': 2.7210028171539307, 'learning_rate': 7.823741007194246e-05, 'epoch': 2.19} - 22%|████████████████████▊ | 1230/5570 [19:42<59:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47242704033851624, 'eval_runtime': 1.539, 'eval_samples_per_second': 467.838, 'eval_steps_per_second': 3.899, 'epoch': 2.19} -{'loss': 0.4724, 'grad_norm': 3.1803576946258545, 'learning_rate': 7.821942446043165e-05, 'epoch': 2.19} -{'loss': 0.4772, 'grad_norm': 1.7549405097961426, 'learning_rate': 7.820143884892087e-05, 'epoch': 2.19} -{'loss': 0.4702, 'grad_norm': 1.955098032951355, 'learning_rate': 7.818345323741008e-05, 'epoch': 2.2} -{'loss': 0.4658, 'grad_norm': 1.506325602531433, 'learning_rate': 7.816546762589927e-05, 'epoch': 2.2} -{'loss': 0.4698, 'grad_norm': 2.6147618293762207, 'learning_rate': 7.81474820143885e-05, 'epoch': 2.2} -{'loss': 0.4693, 'grad_norm': 4.55797815322876, 'learning_rate': 7.81294964028777e-05, 'epoch': 2.2} -{'loss': 0.4649, 'grad_norm': 1.4935674667358398, 'learning_rate': 7.811151079136691e-05, 'epoch': 2.2} -{'loss': 0.488, 'grad_norm': 2.1029317378997803, 'learning_rate': 7.809352517985612e-05, 'epoch': 2.2} -{'loss': 0.4829, 'grad_norm': 2.7820935249328613, 'learning_rate': 7.807553956834533e-05, 'epoch': 2.21} -{'loss': 0.4733, 'grad_norm': 1.2901806831359863, 'learning_rate': 7.805755395683453e-05, 'epoch': 2.21} - 22%|████████████████████▉ | 1240/5570 [19:51<58:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46694642305374146, 'eval_runtime': 1.5382, 'eval_samples_per_second': 468.066, 'eval_steps_per_second': 3.901, 'epoch': 2.21} -{'loss': 0.4682, 'grad_norm': 3.053492784500122, 'learning_rate': 7.803956834532374e-05, 'epoch': 2.21} -{'loss': 0.4712, 'grad_norm': 1.0173033475875854, 'learning_rate': 7.802158273381295e-05, 'epoch': 2.21} -{'loss': 0.473, 'grad_norm': 3.4932034015655518, 'learning_rate': 7.800359712230216e-05, 'epoch': 2.21} -{'loss': 0.4658, 'grad_norm': 3.253946304321289, 'learning_rate': 7.798561151079136e-05, 'epoch': 2.22} -{'loss': 0.4589, 'grad_norm': 1.1263766288757324, 'learning_rate': 7.796762589928059e-05, 'epoch': 2.22} -{'loss': 0.4915, 'grad_norm': 4.154632568359375, 'learning_rate': 7.79496402877698e-05, 'epoch': 2.22} -{'loss': 0.4829, 'grad_norm': 5.236295223236084, 'learning_rate': 7.793165467625899e-05, 'epoch': 2.22} -{'loss': 0.4729, 'grad_norm': 4.110095024108887, 'learning_rate': 7.791366906474821e-05, 'epoch': 2.22} -{'loss': 0.4758, 'grad_norm': 3.0280489921569824, 'learning_rate': 7.789568345323742e-05, 'epoch': 2.22} -{'loss': 0.4752, 'grad_norm': 4.442863464355469, 'learning_rate': 7.787769784172662e-05, 'epoch': 2.23} - 22%|█████████████████████ | 1250/5570 [20:01<59:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.475708931684494, 'eval_runtime': 1.5536, 'eval_samples_per_second': 463.441, 'eval_steps_per_second': 3.862, 'epoch': 2.23} -{'loss': 0.4904, 'grad_norm': 5.44011926651001, 'learning_rate': 7.785971223021583e-05, 'epoch': 2.23} -{'loss': 0.47, 'grad_norm': 4.055337429046631, 'learning_rate': 7.784172661870504e-05, 'epoch': 2.23} -{'loss': 0.46, 'grad_norm': 1.1183574199676514, 'learning_rate': 7.782374100719425e-05, 'epoch': 2.23} -{'loss': 0.4837, 'grad_norm': 4.962611675262451, 'learning_rate': 7.780575539568346e-05, 'epoch': 2.23} -{'loss': 0.4855, 'grad_norm': 5.953751564025879, 'learning_rate': 7.778776978417268e-05, 'epoch': 2.24} -{'loss': 0.4795, 'grad_norm': 5.315425395965576, 'learning_rate': 7.776978417266187e-05, 'epoch': 2.24} -{'loss': 0.4695, 'grad_norm': 1.8481385707855225, 'learning_rate': 7.775179856115108e-05, 'epoch': 2.24} -{'loss': 0.4601, 'grad_norm': 3.001692056655884, 'learning_rate': 7.77338129496403e-05, 'epoch': 2.24} -{'loss': 0.4707, 'grad_norm': 4.292166233062744, 'learning_rate': 7.77158273381295e-05, 'epoch': 2.24} -{'loss': 0.4916, 'grad_norm': 3.2785611152648926, 'learning_rate': 7.769784172661872e-05, 'epoch': 2.24} - 23%|█████████████████████▎ | 1260/5570 [20:11<58:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.468869686126709, 'eval_runtime': 1.5329, 'eval_samples_per_second': 469.684, 'eval_steps_per_second': 3.914, 'epoch': 2.24} -{'loss': 0.4793, 'grad_norm': 1.4068686962127686, 'learning_rate': 7.767985611510792e-05, 'epoch': 2.25} -{'loss': 0.4758, 'grad_norm': 2.721674680709839, 'learning_rate': 7.766187050359712e-05, 'epoch': 2.25} -{'loss': 0.4722, 'grad_norm': 1.9228137731552124, 'learning_rate': 7.764388489208634e-05, 'epoch': 2.25} -{'loss': 0.4746, 'grad_norm': 3.3102686405181885, 'learning_rate': 7.762589928057555e-05, 'epoch': 2.25} -{'loss': 0.4825, 'grad_norm': 2.7097654342651367, 'learning_rate': 7.760791366906474e-05, 'epoch': 2.25} -{'loss': 0.4675, 'grad_norm': 1.8618627786636353, 'learning_rate': 7.758992805755396e-05, 'epoch': 2.25} -{'loss': 0.4737, 'grad_norm': 3.4866504669189453, 'learning_rate': 7.757194244604317e-05, 'epoch': 2.26} -{'loss': 0.4677, 'grad_norm': 1.551584243774414, 'learning_rate': 7.755395683453238e-05, 'epoch': 2.26} -{'loss': 0.4818, 'grad_norm': 2.714080333709717, 'learning_rate': 7.753597122302158e-05, 'epoch': 2.26} -{'loss': 0.4761, 'grad_norm': 4.735815048217773, 'learning_rate': 7.751798561151079e-05, 'epoch': 2.26} - 23%|█████████████████████▍ | 1270/5570 [20:20<58:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4695570170879364, 'eval_runtime': 1.529, 'eval_samples_per_second': 470.881, 'eval_steps_per_second': 3.924, 'epoch': 2.26} -{'loss': 0.4789, 'grad_norm': 2.626558303833008, 'learning_rate': 7.75e-05, 'epoch': 2.26} -{'loss': 0.4787, 'grad_norm': 2.0042965412139893, 'learning_rate': 7.748201438848921e-05, 'epoch': 2.27} -{'loss': 0.4858, 'grad_norm': 2.2304468154907227, 'learning_rate': 7.746402877697843e-05, 'epoch': 2.27} -{'loss': 0.4698, 'grad_norm': 1.2540203332901, 'learning_rate': 7.744604316546764e-05, 'epoch': 2.27} -{'loss': 0.4769, 'grad_norm': 1.9042963981628418, 'learning_rate': 7.742805755395683e-05, 'epoch': 2.27} -{'loss': 0.4656, 'grad_norm': 2.817284345626831, 'learning_rate': 7.741007194244605e-05, 'epoch': 2.27} -{'loss': 0.4569, 'grad_norm': 1.1812077760696411, 'learning_rate': 7.739208633093526e-05, 'epoch': 2.27} -{'loss': 0.4845, 'grad_norm': 2.1263768672943115, 'learning_rate': 7.737410071942447e-05, 'epoch': 2.28} -{'loss': 0.4789, 'grad_norm': 2.973219871520996, 'learning_rate': 7.735611510791368e-05, 'epoch': 2.28} -{'loss': 0.4773, 'grad_norm': 0.9089770317077637, 'learning_rate': 7.733812949640288e-05, 'epoch': 2.28} - 23%|█████████████████████▌ | 1280/5570 [20:30<58:42, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4681527018547058, 'eval_runtime': 1.5507, 'eval_samples_per_second': 464.321, 'eval_steps_per_second': 3.869, 'epoch': 2.28} -{'loss': 0.4755, 'grad_norm': 2.9700605869293213, 'learning_rate': 7.732014388489209e-05, 'epoch': 2.28} -{'loss': 0.4856, 'grad_norm': 3.8786778450012207, 'learning_rate': 7.73021582733813e-05, 'epoch': 2.28} -{'loss': 0.4757, 'grad_norm': 3.1290993690490723, 'learning_rate': 7.72841726618705e-05, 'epoch': 2.29} -{'loss': 0.4761, 'grad_norm': 4.064111232757568, 'learning_rate': 7.726618705035971e-05, 'epoch': 2.29} -{'loss': 0.4719, 'grad_norm': 1.713392734527588, 'learning_rate': 7.724820143884892e-05, 'epoch': 2.29} -{'loss': 0.4761, 'grad_norm': 3.2591278553009033, 'learning_rate': 7.723021582733814e-05, 'epoch': 2.29} -{'loss': 0.4723, 'grad_norm': 3.9535372257232666, 'learning_rate': 7.721223021582734e-05, 'epoch': 2.29} -{'loss': 0.4763, 'grad_norm': 1.005569338798523, 'learning_rate': 7.719424460431654e-05, 'epoch': 2.29} -{'loss': 0.4805, 'grad_norm': 3.902416467666626, 'learning_rate': 7.717625899280577e-05, 'epoch': 2.3} -{'loss': 0.4758, 'grad_norm': 4.7886643409729, 'learning_rate': 7.715827338129496e-05, 'epoch': 2.3} - 23%|█████████████████████▊ | 1290/5570 [20:39<58:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4695679843425751, 'eval_runtime': 1.5409, 'eval_samples_per_second': 467.265, 'eval_steps_per_second': 3.894, 'epoch': 2.3} -{'loss': 0.4857, 'grad_norm': 2.3044707775115967, 'learning_rate': 7.714028776978418e-05, 'epoch': 2.3} -{'loss': 0.4816, 'grad_norm': 3.0728492736816406, 'learning_rate': 7.712230215827339e-05, 'epoch': 2.3} -{'loss': 0.4662, 'grad_norm': 1.386980414390564, 'learning_rate': 7.710431654676258e-05, 'epoch': 2.3} -{'loss': 0.4755, 'grad_norm': 3.8459880352020264, 'learning_rate': 7.70863309352518e-05, 'epoch': 2.31} -{'loss': 0.4659, 'grad_norm': 4.979785919189453, 'learning_rate': 7.706834532374101e-05, 'epoch': 2.31} -{'loss': 0.4708, 'grad_norm': 2.1239333152770996, 'learning_rate': 7.705035971223022e-05, 'epoch': 2.31} -{'loss': 0.4719, 'grad_norm': 2.870016574859619, 'learning_rate': 7.703237410071943e-05, 'epoch': 2.31} -{'loss': 0.4722, 'grad_norm': 2.1673359870910645, 'learning_rate': 7.701438848920864e-05, 'epoch': 2.31} -{'loss': 0.4719, 'grad_norm': 1.5382909774780273, 'learning_rate': 7.699640287769784e-05, 'epoch': 2.31} -{'loss': 0.4809, 'grad_norm': 1.9955267906188965, 'learning_rate': 7.697841726618705e-05, 'epoch': 2.32} - 23%|█████████████████████▉ | 1300/5570 [20:49<58:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46481847763061523, 'eval_runtime': 1.5379, 'eval_samples_per_second': 468.181, 'eval_steps_per_second': 3.902, 'epoch': 2.32} -{'loss': 0.4632, 'grad_norm': 1.1616650819778442, 'learning_rate': 7.696043165467626e-05, 'epoch': 2.32} -{'loss': 0.4672, 'grad_norm': 1.3428516387939453, 'learning_rate': 7.694244604316547e-05, 'epoch': 2.32} -{'loss': 0.455, 'grad_norm': 1.6362744569778442, 'learning_rate': 7.692446043165467e-05, 'epoch': 2.32} -{'loss': 0.4727, 'grad_norm': 1.6069492101669312, 'learning_rate': 7.69064748201439e-05, 'epoch': 2.32} -{'loss': 0.461, 'grad_norm': 1.8297972679138184, 'learning_rate': 7.68884892086331e-05, 'epoch': 2.32} -{'loss': 0.4733, 'grad_norm': 2.2429447174072266, 'learning_rate': 7.68705035971223e-05, 'epoch': 2.33} -{'loss': 0.4679, 'grad_norm': 2.340550184249878, 'learning_rate': 7.685251798561152e-05, 'epoch': 2.33} -{'loss': 0.4761, 'grad_norm': 2.0691287517547607, 'learning_rate': 7.683453237410073e-05, 'epoch': 2.33} -{'loss': 0.4628, 'grad_norm': 1.9146313667297363, 'learning_rate': 7.681654676258993e-05, 'epoch': 2.33} -{'loss': 0.4652, 'grad_norm': 3.348435640335083, 'learning_rate': 7.679856115107914e-05, 'epoch': 2.33} - 24%|██████████████████████ | 1310/5570 [20:59<58:46, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46309608221054077, 'eval_runtime': 1.5466, 'eval_samples_per_second': 465.532, 'eval_steps_per_second': 3.879, 'epoch': 2.33} -{'loss': 0.4691, 'grad_norm': 1.3020970821380615, 'learning_rate': 7.678057553956835e-05, 'epoch': 2.34} -{'loss': 0.4786, 'grad_norm': 3.599187135696411, 'learning_rate': 7.676258992805756e-05, 'epoch': 2.34} -{'loss': 0.484, 'grad_norm': 6.689692497253418, 'learning_rate': 7.674460431654676e-05, 'epoch': 2.34} -{'loss': 0.4707, 'grad_norm': 3.9398539066314697, 'learning_rate': 7.672661870503599e-05, 'epoch': 2.34} -{'loss': 0.4823, 'grad_norm': 5.230088233947754, 'learning_rate': 7.670863309352518e-05, 'epoch': 2.34} -{'loss': 0.4795, 'grad_norm': 3.2676408290863037, 'learning_rate': 7.669064748201439e-05, 'epoch': 2.34} -{'loss': 0.4784, 'grad_norm': 2.22485613822937, 'learning_rate': 7.667266187050361e-05, 'epoch': 2.35} -{'loss': 0.4752, 'grad_norm': 5.0327253341674805, 'learning_rate': 7.66546762589928e-05, 'epoch': 2.35} -{'loss': 0.4791, 'grad_norm': 5.571549892425537, 'learning_rate': 7.663669064748202e-05, 'epoch': 2.35} -{'loss': 0.4711, 'grad_norm': 2.2702817916870117, 'learning_rate': 7.661870503597123e-05, 'epoch': 2.35} - 24%|██████████████████████▎ | 1320/5570 [21:08<58:02, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46591711044311523, 'eval_runtime': 1.5382, 'eval_samples_per_second': 468.068, 'eval_steps_per_second': 3.901, 'epoch': 2.35} -{'loss': 0.4742, 'grad_norm': 2.954528570175171, 'learning_rate': 7.660071942446043e-05, 'epoch': 2.35} -{'loss': 0.481, 'grad_norm': 5.233066082000732, 'learning_rate': 7.658273381294965e-05, 'epoch': 2.36} -{'loss': 0.4703, 'grad_norm': 1.899104356765747, 'learning_rate': 7.656474820143886e-05, 'epoch': 2.36} -{'loss': 0.4793, 'grad_norm': 3.7748289108276367, 'learning_rate': 7.654676258992806e-05, 'epoch': 2.36} -{'loss': 0.47, 'grad_norm': 4.224566459655762, 'learning_rate': 7.652877697841727e-05, 'epoch': 2.36} -{'loss': 0.4685, 'grad_norm': 2.64058256149292, 'learning_rate': 7.651079136690648e-05, 'epoch': 2.36} -{'loss': 0.4783, 'grad_norm': 3.5782675743103027, 'learning_rate': 7.649280575539569e-05, 'epoch': 2.36} -{'loss': 0.4603, 'grad_norm': 4.14674711227417, 'learning_rate': 7.64748201438849e-05, 'epoch': 2.37} -{'loss': 0.4758, 'grad_norm': 3.0409791469573975, 'learning_rate': 7.64568345323741e-05, 'epoch': 2.37} -{'loss': 0.4706, 'grad_norm': 2.897547483444214, 'learning_rate': 7.643884892086331e-05, 'epoch': 2.37} - 24%|██████████████████████▍ | 1330/5570 [21:18<58:04, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46717172861099243, 'eval_runtime': 1.5348, 'eval_samples_per_second': 469.111, 'eval_steps_per_second': 3.909, 'epoch': 2.37} -{'loss': 0.4794, 'grad_norm': 2.8111166954040527, 'learning_rate': 7.642086330935252e-05, 'epoch': 2.37} -{'loss': 0.4719, 'grad_norm': 1.639662504196167, 'learning_rate': 7.640287769784174e-05, 'epoch': 2.37} -{'loss': 0.4756, 'grad_norm': 2.243621587753296, 'learning_rate': 7.638489208633095e-05, 'epoch': 2.38} -{'loss': 0.4774, 'grad_norm': 2.6768648624420166, 'learning_rate': 7.636690647482014e-05, 'epoch': 2.38} -{'loss': 0.4665, 'grad_norm': 0.7493053078651428, 'learning_rate': 7.634892086330936e-05, 'epoch': 2.38} -{'loss': 0.4687, 'grad_norm': 1.8593477010726929, 'learning_rate': 7.633093525179857e-05, 'epoch': 2.38} -{'loss': 0.47, 'grad_norm': 1.536015272140503, 'learning_rate': 7.631294964028778e-05, 'epoch': 2.38} -{'loss': 0.4884, 'grad_norm': 0.711976945400238, 'learning_rate': 7.629496402877698e-05, 'epoch': 2.38} -{'loss': 0.4725, 'grad_norm': 0.9023865461349487, 'learning_rate': 7.627697841726619e-05, 'epoch': 2.39} -{'loss': 0.4662, 'grad_norm': 2.07924747467041, 'learning_rate': 7.62589928057554e-05, 'epoch': 2.39} - 24%|██████████████████████▌ | 1340/5570 [21:28<57:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46664106845855713, 'eval_runtime': 1.5415, 'eval_samples_per_second': 467.073, 'eval_steps_per_second': 3.892, 'epoch': 2.39} -{'loss': 0.4803, 'grad_norm': 1.6110841035842896, 'learning_rate': 7.624100719424461e-05, 'epoch': 2.39} -{'loss': 0.468, 'grad_norm': 1.9841560125350952, 'learning_rate': 7.622302158273382e-05, 'epoch': 2.39} -{'loss': 0.4765, 'grad_norm': 1.6526031494140625, 'learning_rate': 7.620503597122302e-05, 'epoch': 2.39} -{'loss': 0.464, 'grad_norm': 2.6011385917663574, 'learning_rate': 7.618705035971223e-05, 'epoch': 2.39} -{'loss': 0.482, 'grad_norm': 2.450227737426758, 'learning_rate': 7.616906474820145e-05, 'epoch': 2.4} -{'loss': 0.476, 'grad_norm': 1.2206836938858032, 'learning_rate': 7.615107913669065e-05, 'epoch': 2.4} -{'loss': 0.4745, 'grad_norm': 1.2343155145645142, 'learning_rate': 7.613309352517985e-05, 'epoch': 2.4} -{'loss': 0.4625, 'grad_norm': 2.6155874729156494, 'learning_rate': 7.611510791366907e-05, 'epoch': 2.4} -{'loss': 0.47, 'grad_norm': 3.484785795211792, 'learning_rate': 7.609712230215827e-05, 'epoch': 2.4} -{'loss': 0.4713, 'grad_norm': 2.191162347793579, 'learning_rate': 7.607913669064749e-05, 'epoch': 2.41} - 24%|██████████████████████▊ | 1350/5570 [21:37<57:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4713132977485657, 'eval_runtime': 1.549, 'eval_samples_per_second': 464.807, 'eval_steps_per_second': 3.873, 'epoch': 2.41} -{'loss': 0.4711, 'grad_norm': 3.271646738052368, 'learning_rate': 7.60611510791367e-05, 'epoch': 2.41} -{'loss': 0.4646, 'grad_norm': 1.9271384477615356, 'learning_rate': 7.604316546762589e-05, 'epoch': 2.41} -{'loss': 0.4648, 'grad_norm': 1.0228490829467773, 'learning_rate': 7.602517985611511e-05, 'epoch': 2.41} -{'loss': 0.4827, 'grad_norm': 3.6201138496398926, 'learning_rate': 7.600719424460432e-05, 'epoch': 2.41} -{'loss': 0.4748, 'grad_norm': 3.177356719970703, 'learning_rate': 7.598920863309353e-05, 'epoch': 2.41} -{'loss': 0.4714, 'grad_norm': 1.5328843593597412, 'learning_rate': 7.597122302158274e-05, 'epoch': 2.42} -{'loss': 0.4621, 'grad_norm': 0.9362854957580566, 'learning_rate': 7.595323741007194e-05, 'epoch': 2.42} -{'loss': 0.482, 'grad_norm': 3.207136869430542, 'learning_rate': 7.593525179856115e-05, 'epoch': 2.42} -{'loss': 0.4744, 'grad_norm': 2.2945470809936523, 'learning_rate': 7.591726618705036e-05, 'epoch': 2.42} -{'loss': 0.4793, 'grad_norm': 4.109322547912598, 'learning_rate': 7.589928057553958e-05, 'epoch': 2.42} - 24%|██████████████████████▉ | 1360/5570 [21:47<57:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4695068299770355, 'eval_runtime': 1.5615, 'eval_samples_per_second': 461.091, 'eval_steps_per_second': 3.842, 'epoch': 2.42} -{'loss': 0.478, 'grad_norm': 4.018180847167969, 'learning_rate': 7.588129496402878e-05, 'epoch': 2.43} -{'loss': 0.4704, 'grad_norm': 2.137115478515625, 'learning_rate': 7.586330935251798e-05, 'epoch': 2.43} -{'loss': 0.4819, 'grad_norm': 3.928826332092285, 'learning_rate': 7.58453237410072e-05, 'epoch': 2.43} -{'loss': 0.4852, 'grad_norm': 4.180889129638672, 'learning_rate': 7.582733812949641e-05, 'epoch': 2.43} -{'loss': 0.4767, 'grad_norm': 2.4854562282562256, 'learning_rate': 7.58093525179856e-05, 'epoch': 2.43} -{'loss': 0.4812, 'grad_norm': 3.3856775760650635, 'learning_rate': 7.579136690647483e-05, 'epoch': 2.43} -{'loss': 0.4871, 'grad_norm': 5.053977966308594, 'learning_rate': 7.577338129496403e-05, 'epoch': 2.44} -{'loss': 0.4668, 'grad_norm': 3.431561231613159, 'learning_rate': 7.575539568345324e-05, 'epoch': 2.44} -{'loss': 0.4746, 'grad_norm': 0.9232959747314453, 'learning_rate': 7.573741007194245e-05, 'epoch': 2.44} -{'loss': 0.4724, 'grad_norm': 1.5054776668548584, 'learning_rate': 7.571942446043166e-05, 'epoch': 2.44} - 25%|███████████████████████ | 1370/5570 [21:56<57:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46677881479263306, 'eval_runtime': 1.5432, 'eval_samples_per_second': 466.56, 'eval_steps_per_second': 3.888, 'epoch': 2.44} -{'loss': 0.4784, 'grad_norm': 2.485795021057129, 'learning_rate': 7.570143884892087e-05, 'epoch': 2.44} -{'loss': 0.47, 'grad_norm': 1.2452129125595093, 'learning_rate': 7.568345323741007e-05, 'epoch': 2.45} -{'loss': 0.4693, 'grad_norm': 1.5037972927093506, 'learning_rate': 7.56654676258993e-05, 'epoch': 2.45} -{'loss': 0.4752, 'grad_norm': 1.1339949369430542, 'learning_rate': 7.564748201438849e-05, 'epoch': 2.45} -{'loss': 0.4681, 'grad_norm': 1.349882960319519, 'learning_rate': 7.56294964028777e-05, 'epoch': 2.45} -{'loss': 0.4715, 'grad_norm': 1.1750905513763428, 'learning_rate': 7.561151079136692e-05, 'epoch': 2.45} -{'loss': 0.4693, 'grad_norm': 2.915036201477051, 'learning_rate': 7.559352517985611e-05, 'epoch': 2.45} -{'loss': 0.4823, 'grad_norm': 3.3382463455200195, 'learning_rate': 7.557553956834533e-05, 'epoch': 2.46} -{'loss': 0.4797, 'grad_norm': 0.8721528053283691, 'learning_rate': 7.555755395683454e-05, 'epoch': 2.46} -{'loss': 0.4616, 'grad_norm': 1.1025367975234985, 'learning_rate': 7.553956834532374e-05, 'epoch': 2.46} - 25%|███████████████████████▎ | 1380/5570 [22:06<56:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46406716108322144, 'eval_runtime': 1.542, 'eval_samples_per_second': 466.914, 'eval_steps_per_second': 3.891, 'epoch': 2.46} -{'loss': 0.4768, 'grad_norm': 1.311812400817871, 'learning_rate': 7.552158273381296e-05, 'epoch': 2.46} -{'loss': 0.4594, 'grad_norm': 2.4326729774475098, 'learning_rate': 7.550359712230216e-05, 'epoch': 2.46} -{'loss': 0.4672, 'grad_norm': 0.851442277431488, 'learning_rate': 7.548561151079137e-05, 'epoch': 2.46} -{'loss': 0.4576, 'grad_norm': 0.7824374437332153, 'learning_rate': 7.546762589928058e-05, 'epoch': 2.47} -{'loss': 0.4682, 'grad_norm': 1.694541096687317, 'learning_rate': 7.544964028776979e-05, 'epoch': 2.47} -{'loss': 0.4667, 'grad_norm': 2.905557155609131, 'learning_rate': 7.5431654676259e-05, 'epoch': 2.47} -{'loss': 0.4661, 'grad_norm': 2.5163071155548096, 'learning_rate': 7.54136690647482e-05, 'epoch': 2.47} -{'loss': 0.4736, 'grad_norm': 1.4848119020462036, 'learning_rate': 7.539568345323741e-05, 'epoch': 2.47} -{'loss': 0.4718, 'grad_norm': 1.1432936191558838, 'learning_rate': 7.537769784172662e-05, 'epoch': 2.48} -{'loss': 0.4671, 'grad_norm': 0.989875316619873, 'learning_rate': 7.535971223021583e-05, 'epoch': 2.48} - 25%|███████████████████████▍ | 1390/5570 [22:16<56:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4624004662036896, 'eval_runtime': 1.5261, 'eval_samples_per_second': 471.805, 'eval_steps_per_second': 3.932, 'epoch': 2.48} -{'loss': 0.4748, 'grad_norm': 1.4458198547363281, 'learning_rate': 7.534172661870505e-05, 'epoch': 2.48} -{'loss': 0.4688, 'grad_norm': 2.867616653442383, 'learning_rate': 7.532374100719425e-05, 'epoch': 2.48} -{'loss': 0.4643, 'grad_norm': 3.304621458053589, 'learning_rate': 7.530575539568345e-05, 'epoch': 2.48} -{'loss': 0.4683, 'grad_norm': 1.1634020805358887, 'learning_rate': 7.528776978417267e-05, 'epoch': 2.48} -{'loss': 0.4701, 'grad_norm': 2.583977460861206, 'learning_rate': 7.526978417266188e-05, 'epoch': 2.49} -{'loss': 0.4774, 'grad_norm': 3.1511027812957764, 'learning_rate': 7.525179856115109e-05, 'epoch': 2.49} -{'loss': 0.4746, 'grad_norm': 1.3321232795715332, 'learning_rate': 7.523381294964029e-05, 'epoch': 2.49} -{'loss': 0.4654, 'grad_norm': 2.254575490951538, 'learning_rate': 7.52158273381295e-05, 'epoch': 2.49} -{'loss': 0.4642, 'grad_norm': 2.184616804122925, 'learning_rate': 7.519784172661871e-05, 'epoch': 2.49} -{'loss': 0.4806, 'grad_norm': 3.7286336421966553, 'learning_rate': 7.517985611510792e-05, 'epoch': 2.5} - 25%|███████████████████████▋ | 1400/5570 [22:25<56:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4667719602584839, 'eval_runtime': 1.5395, 'eval_samples_per_second': 467.69, 'eval_steps_per_second': 3.897, 'epoch': 2.5} -{'loss': 0.4648, 'grad_norm': 1.7250553369522095, 'learning_rate': 7.516187050359712e-05, 'epoch': 2.5} -{'loss': 0.4722, 'grad_norm': 1.938913345336914, 'learning_rate': 7.514388489208633e-05, 'epoch': 2.5} -{'loss': 0.4676, 'grad_norm': 1.5585720539093018, 'learning_rate': 7.512589928057554e-05, 'epoch': 2.5} -{'loss': 0.4721, 'grad_norm': 1.0927412509918213, 'learning_rate': 7.510791366906476e-05, 'epoch': 2.5} -{'loss': 0.4647, 'grad_norm': 1.0378655195236206, 'learning_rate': 7.508992805755395e-05, 'epoch': 2.5} -{'loss': 0.4669, 'grad_norm': 2.9176952838897705, 'learning_rate': 7.507194244604316e-05, 'epoch': 2.51} -{'loss': 0.4648, 'grad_norm': 1.4278403520584106, 'learning_rate': 7.505395683453238e-05, 'epoch': 2.51} -{'loss': 0.4792, 'grad_norm': 1.3380314111709595, 'learning_rate': 7.503597122302158e-05, 'epoch': 2.51} -{'loss': 0.4726, 'grad_norm': 1.424513339996338, 'learning_rate': 7.50179856115108e-05, 'epoch': 2.51} -{'loss': 0.4617, 'grad_norm': 1.9190529584884644, 'learning_rate': 7.500000000000001e-05, 'epoch': 2.51} - 25%|███████████████████████▊ | 1410/5570 [22:35<56:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4664064049720764, 'eval_runtime': 1.5278, 'eval_samples_per_second': 471.265, 'eval_steps_per_second': 3.927, 'epoch': 2.51} -{'loss': 0.4627, 'grad_norm': 2.2211663722991943, 'learning_rate': 7.49820143884892e-05, 'epoch': 2.52} -{'loss': 0.4811, 'grad_norm': 2.4245259761810303, 'learning_rate': 7.496402877697842e-05, 'epoch': 2.52} -{'loss': 0.4692, 'grad_norm': 2.5204293727874756, 'learning_rate': 7.494604316546763e-05, 'epoch': 2.52} -{'loss': 0.4681, 'grad_norm': 1.9046671390533447, 'learning_rate': 7.492805755395684e-05, 'epoch': 2.52} -{'loss': 0.4738, 'grad_norm': 3.293897867202759, 'learning_rate': 7.491007194244605e-05, 'epoch': 2.52} -{'loss': 0.4915, 'grad_norm': 3.7749340534210205, 'learning_rate': 7.489208633093525e-05, 'epoch': 2.52} -{'loss': 0.483, 'grad_norm': 1.0567920207977295, 'learning_rate': 7.487410071942446e-05, 'epoch': 2.53} -{'loss': 0.4737, 'grad_norm': 2.7743735313415527, 'learning_rate': 7.485611510791367e-05, 'epoch': 2.53} -{'loss': 0.4692, 'grad_norm': 1.998604655265808, 'learning_rate': 7.483812949640289e-05, 'epoch': 2.53} -{'loss': 0.4754, 'grad_norm': 1.291056513786316, 'learning_rate': 7.48201438848921e-05, 'epoch': 2.53} - 25%|███████████████████████▉ | 1420/5570 [22:44<55:54, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4657368063926697, 'eval_runtime': 1.5417, 'eval_samples_per_second': 467.032, 'eval_steps_per_second': 3.892, 'epoch': 2.53} -{'loss': 0.4582, 'grad_norm': 2.4190146923065186, 'learning_rate': 7.480215827338129e-05, 'epoch': 2.53} -{'loss': 0.4661, 'grad_norm': 2.043841600418091, 'learning_rate': 7.478417266187051e-05, 'epoch': 2.54} -{'loss': 0.472, 'grad_norm': 0.9695903062820435, 'learning_rate': 7.476618705035972e-05, 'epoch': 2.54} -{'loss': 0.4685, 'grad_norm': 2.6458213329315186, 'learning_rate': 7.474820143884891e-05, 'epoch': 2.54} -{'loss': 0.4702, 'grad_norm': 1.6831581592559814, 'learning_rate': 7.473021582733814e-05, 'epoch': 2.54} -{'loss': 0.4694, 'grad_norm': 2.646024227142334, 'learning_rate': 7.471223021582734e-05, 'epoch': 2.54} -{'loss': 0.4568, 'grad_norm': 0.7807104587554932, 'learning_rate': 7.469424460431655e-05, 'epoch': 2.54} -{'loss': 0.4726, 'grad_norm': 1.6657016277313232, 'learning_rate': 7.467625899280576e-05, 'epoch': 2.55} -{'loss': 0.4756, 'grad_norm': 1.1580346822738647, 'learning_rate': 7.465827338129497e-05, 'epoch': 2.55} -{'loss': 0.483, 'grad_norm': 2.7424981594085693, 'learning_rate': 7.464028776978417e-05, 'epoch': 2.55} - 26%|████████████████████████▏ | 1430/5570 [22:54<56:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46429815888404846, 'eval_runtime': 1.5332, 'eval_samples_per_second': 469.592, 'eval_steps_per_second': 3.913, 'epoch': 2.55} -{'loss': 0.4715, 'grad_norm': 2.0769569873809814, 'learning_rate': 7.462230215827338e-05, 'epoch': 2.55} -{'loss': 0.4779, 'grad_norm': 2.4756131172180176, 'learning_rate': 7.46043165467626e-05, 'epoch': 2.55} -{'loss': 0.474, 'grad_norm': 2.1839001178741455, 'learning_rate': 7.45863309352518e-05, 'epoch': 2.55} -{'loss': 0.4727, 'grad_norm': 1.0800515413284302, 'learning_rate': 7.4568345323741e-05, 'epoch': 2.56} -{'loss': 0.4614, 'grad_norm': 3.4485743045806885, 'learning_rate': 7.455035971223023e-05, 'epoch': 2.56} -{'loss': 0.4804, 'grad_norm': 3.4631834030151367, 'learning_rate': 7.453237410071942e-05, 'epoch': 2.56} -{'loss': 0.4702, 'grad_norm': 0.9977768659591675, 'learning_rate': 7.451438848920864e-05, 'epoch': 2.56} -{'loss': 0.4728, 'grad_norm': 1.6240603923797607, 'learning_rate': 7.449640287769785e-05, 'epoch': 2.56} -{'loss': 0.4722, 'grad_norm': 1.0919266939163208, 'learning_rate': 7.447841726618704e-05, 'epoch': 2.57} -{'loss': 0.4739, 'grad_norm': 2.658762216567993, 'learning_rate': 7.446043165467627e-05, 'epoch': 2.57} - 26%|████████████████████████▎ | 1440/5570 [23:03<56:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4675644636154175, 'eval_runtime': 1.5411, 'eval_samples_per_second': 467.191, 'eval_steps_per_second': 3.893, 'epoch': 2.57} -{'loss': 0.4707, 'grad_norm': 1.0340378284454346, 'learning_rate': 7.444244604316547e-05, 'epoch': 2.57} -{'loss': 0.4694, 'grad_norm': 1.136765480041504, 'learning_rate': 7.442446043165468e-05, 'epoch': 2.57} -{'loss': 0.4694, 'grad_norm': 1.961411476135254, 'learning_rate': 7.440647482014389e-05, 'epoch': 2.57} -{'loss': 0.4693, 'grad_norm': 1.913352608680725, 'learning_rate': 7.43884892086331e-05, 'epoch': 2.57} -{'loss': 0.4723, 'grad_norm': 0.9223034977912903, 'learning_rate': 7.43705035971223e-05, 'epoch': 2.58} -{'loss': 0.4734, 'grad_norm': 2.400153875350952, 'learning_rate': 7.435251798561151e-05, 'epoch': 2.58} -{'loss': 0.4848, 'grad_norm': 3.4107747077941895, 'learning_rate': 7.433453237410072e-05, 'epoch': 2.58} -{'loss': 0.4766, 'grad_norm': 2.5517687797546387, 'learning_rate': 7.431654676258993e-05, 'epoch': 2.58} -{'loss': 0.4805, 'grad_norm': 2.7942800521850586, 'learning_rate': 7.429856115107913e-05, 'epoch': 2.58} -{'loss': 0.4757, 'grad_norm': 1.5610159635543823, 'learning_rate': 7.428057553956836e-05, 'epoch': 2.59} - 26%|████████████████████████▍ | 1450/5570 [23:13<56:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46987855434417725, 'eval_runtime': 1.5654, 'eval_samples_per_second': 459.958, 'eval_steps_per_second': 3.833, 'epoch': 2.59} -{'loss': 0.4782, 'grad_norm': 3.383314371109009, 'learning_rate': 7.426258992805756e-05, 'epoch': 2.59} -{'loss': 0.4723, 'grad_norm': 1.8356965780258179, 'learning_rate': 7.424460431654676e-05, 'epoch': 2.59} -{'loss': 0.4679, 'grad_norm': 2.1503219604492188, 'learning_rate': 7.422661870503598e-05, 'epoch': 2.59} -{'loss': 0.466, 'grad_norm': 3.1148202419281006, 'learning_rate': 7.420863309352519e-05, 'epoch': 2.59} -{'loss': 0.467, 'grad_norm': 3.96189546585083, 'learning_rate': 7.41906474820144e-05, 'epoch': 2.59} -{'loss': 0.4691, 'grad_norm': 0.9078016877174377, 'learning_rate': 7.41726618705036e-05, 'epoch': 2.6} -{'loss': 0.4761, 'grad_norm': 7.539310455322266, 'learning_rate': 7.415467625899281e-05, 'epoch': 2.6} -{'loss': 0.4835, 'grad_norm': 5.921480655670166, 'learning_rate': 7.413669064748202e-05, 'epoch': 2.6} -{'loss': 0.4817, 'grad_norm': 4.591914653778076, 'learning_rate': 7.411870503597123e-05, 'epoch': 2.6} -{'loss': 0.4691, 'grad_norm': 1.7899768352508545, 'learning_rate': 7.410071942446043e-05, 'epoch': 2.6} - 26%|████████████████████████▋ | 1460/5570 [23:23<55:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47706305980682373, 'eval_runtime': 1.5317, 'eval_samples_per_second': 470.073, 'eval_steps_per_second': 3.917, 'epoch': 2.6} -{'loss': 0.4847, 'grad_norm': 3.9895243644714355, 'learning_rate': 7.408273381294964e-05, 'epoch': 2.61} -{'loss': 0.5081, 'grad_norm': 5.062076568603516, 'learning_rate': 7.406474820143885e-05, 'epoch': 2.61} -{'loss': 0.4841, 'grad_norm': 4.923351287841797, 'learning_rate': 7.404676258992807e-05, 'epoch': 2.61} -{'loss': 0.4734, 'grad_norm': 2.40437650680542, 'learning_rate': 7.402877697841726e-05, 'epoch': 2.61} -{'loss': 0.4649, 'grad_norm': 1.8000874519348145, 'learning_rate': 7.401079136690647e-05, 'epoch': 2.61} -{'loss': 0.4882, 'grad_norm': 2.315251350402832, 'learning_rate': 7.399280575539569e-05, 'epoch': 2.61} -{'loss': 0.472, 'grad_norm': 3.5504095554351807, 'learning_rate': 7.397482014388489e-05, 'epoch': 2.62} -{'loss': 0.4706, 'grad_norm': 1.0296697616577148, 'learning_rate': 7.395683453237411e-05, 'epoch': 2.62} -{'loss': 0.4787, 'grad_norm': 2.5463109016418457, 'learning_rate': 7.393884892086332e-05, 'epoch': 2.62} -{'loss': 0.4777, 'grad_norm': 3.123115062713623, 'learning_rate': 7.392086330935252e-05, 'epoch': 2.62} - 26%|████████████████████████▊ | 1470/5570 [23:32<56:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.468561589717865, 'eval_runtime': 1.5433, 'eval_samples_per_second': 466.518, 'eval_steps_per_second': 3.888, 'epoch': 2.62} -{'loss': 0.4691, 'grad_norm': 2.892564058303833, 'learning_rate': 7.390287769784173e-05, 'epoch': 2.62} -{'loss': 0.4809, 'grad_norm': 0.9863271713256836, 'learning_rate': 7.388489208633094e-05, 'epoch': 2.62} -{'loss': 0.4736, 'grad_norm': 2.8078818321228027, 'learning_rate': 7.386690647482015e-05, 'epoch': 2.63} -{'loss': 0.4867, 'grad_norm': 4.71318244934082, 'learning_rate': 7.384892086330935e-05, 'epoch': 2.63} -{'loss': 0.4739, 'grad_norm': 3.135303258895874, 'learning_rate': 7.383093525179856e-05, 'epoch': 2.63} -{'loss': 0.4727, 'grad_norm': 1.066509485244751, 'learning_rate': 7.381294964028777e-05, 'epoch': 2.63} -{'loss': 0.4673, 'grad_norm': 1.7090110778808594, 'learning_rate': 7.379496402877698e-05, 'epoch': 2.63} -{'loss': 0.4719, 'grad_norm': 1.7372301816940308, 'learning_rate': 7.37769784172662e-05, 'epoch': 2.64} -{'loss': 0.4761, 'grad_norm': 1.8545321226119995, 'learning_rate': 7.37589928057554e-05, 'epoch': 2.64} -{'loss': 0.4799, 'grad_norm': 1.2735875844955444, 'learning_rate': 7.37410071942446e-05, 'epoch': 2.64} - 27%|████████████████████████▉ | 1480/5570 [23:42<55:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4681415855884552, 'eval_runtime': 1.538, 'eval_samples_per_second': 468.15, 'eval_steps_per_second': 3.901, 'epoch': 2.64} -{'loss': 0.4743, 'grad_norm': 3.2995481491088867, 'learning_rate': 7.372302158273382e-05, 'epoch': 2.64} -{'loss': 0.4773, 'grad_norm': 1.6641169786453247, 'learning_rate': 7.370503597122303e-05, 'epoch': 2.64} -{'loss': 0.4745, 'grad_norm': 0.9274702072143555, 'learning_rate': 7.368705035971222e-05, 'epoch': 2.64} -{'loss': 0.4616, 'grad_norm': 1.3468061685562134, 'learning_rate': 7.366906474820145e-05, 'epoch': 2.65} -{'loss': 0.466, 'grad_norm': 0.9571295380592346, 'learning_rate': 7.365107913669065e-05, 'epoch': 2.65} -{'loss': 0.4703, 'grad_norm': 2.0607030391693115, 'learning_rate': 7.363309352517986e-05, 'epoch': 2.65} -{'loss': 0.4706, 'grad_norm': 2.074796438217163, 'learning_rate': 7.361510791366907e-05, 'epoch': 2.65} -{'loss': 0.4641, 'grad_norm': 1.4598808288574219, 'learning_rate': 7.359712230215828e-05, 'epoch': 2.65} -{'loss': 0.4688, 'grad_norm': 0.8914983868598938, 'learning_rate': 7.357913669064748e-05, 'epoch': 2.66} -{'loss': 0.4654, 'grad_norm': 1.9056411981582642, 'learning_rate': 7.356115107913669e-05, 'epoch': 2.66} - 27%|█████████████████████████▏ | 1490/5570 [23:51<55:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46383413672447205, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.363, 'eval_steps_per_second': 3.903, 'epoch': 2.66} -{'loss': 0.4699, 'grad_norm': 0.97530198097229, 'learning_rate': 7.354316546762591e-05, 'epoch': 2.66} -{'loss': 0.4794, 'grad_norm': 2.854344606399536, 'learning_rate': 7.352517985611511e-05, 'epoch': 2.66} -{'loss': 0.482, 'grad_norm': 3.815237522125244, 'learning_rate': 7.350719424460431e-05, 'epoch': 2.66} -{'loss': 0.4663, 'grad_norm': 0.9312399625778198, 'learning_rate': 7.348920863309354e-05, 'epoch': 2.66} -{'loss': 0.4719, 'grad_norm': 1.2417165040969849, 'learning_rate': 7.347122302158273e-05, 'epoch': 2.67} -{'loss': 0.4603, 'grad_norm': 2.600358009338379, 'learning_rate': 7.345323741007195e-05, 'epoch': 2.67} -{'loss': 0.4784, 'grad_norm': 3.978381395339966, 'learning_rate': 7.343525179856116e-05, 'epoch': 2.67} -{'loss': 0.4592, 'grad_norm': 1.0933631658554077, 'learning_rate': 7.341726618705035e-05, 'epoch': 2.67} -{'loss': 0.4731, 'grad_norm': 2.770318031311035, 'learning_rate': 7.339928057553957e-05, 'epoch': 2.67} -{'loss': 0.4682, 'grad_norm': 2.98087477684021, 'learning_rate': 7.338129496402878e-05, 'epoch': 2.68} - 27%|█████████████████████████▎ | 1500/5570 [24:01<55:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46486732363700867, 'eval_runtime': 1.5394, 'eval_samples_per_second': 467.712, 'eval_steps_per_second': 3.898, 'epoch': 2.68} -{'loss': 0.4637, 'grad_norm': 0.8278518915176392, 'learning_rate': 7.336330935251799e-05, 'epoch': 2.68} -{'loss': 0.475, 'grad_norm': 2.090571641921997, 'learning_rate': 7.33453237410072e-05, 'epoch': 2.68} -{'loss': 0.4681, 'grad_norm': 1.4544209241867065, 'learning_rate': 7.33273381294964e-05, 'epoch': 2.68} -{'loss': 0.4747, 'grad_norm': 3.10408353805542, 'learning_rate': 7.330935251798561e-05, 'epoch': 2.68} -{'loss': 0.4789, 'grad_norm': 5.765714168548584, 'learning_rate': 7.329136690647482e-05, 'epoch': 2.68} -{'loss': 0.4809, 'grad_norm': 2.602952003479004, 'learning_rate': 7.327338129496403e-05, 'epoch': 2.69} -{'loss': 0.4669, 'grad_norm': 2.510115385055542, 'learning_rate': 7.325539568345325e-05, 'epoch': 2.69} -{'loss': 0.4784, 'grad_norm': 5.843575954437256, 'learning_rate': 7.323741007194244e-05, 'epoch': 2.69} -{'loss': 0.4766, 'grad_norm': 5.906605243682861, 'learning_rate': 7.321942446043166e-05, 'epoch': 2.69} -{'loss': 0.4839, 'grad_norm': 4.084568500518799, 'learning_rate': 7.320143884892087e-05, 'epoch': 2.69} - 27%|█████████████████████████▍ | 1510/5570 [24:11<55:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.47114643454551697, 'eval_runtime': 1.5366, 'eval_samples_per_second': 468.567, 'eval_steps_per_second': 3.905, 'epoch': 2.69} -{'loss': 0.4812, 'grad_norm': 3.536005973815918, 'learning_rate': 7.318345323741007e-05, 'epoch': 2.69} -{'loss': 0.4688, 'grad_norm': 3.893373966217041, 'learning_rate': 7.316546762589929e-05, 'epoch': 2.7} -{'loss': 0.4692, 'grad_norm': 2.9678354263305664, 'learning_rate': 7.31474820143885e-05, 'epoch': 2.7} -{'loss': 0.4758, 'grad_norm': 3.449171304702759, 'learning_rate': 7.31294964028777e-05, 'epoch': 2.7} -{'loss': 0.4745, 'grad_norm': 1.7950541973114014, 'learning_rate': 7.311151079136691e-05, 'epoch': 2.7} -{'loss': 0.468, 'grad_norm': 1.82123863697052, 'learning_rate': 7.309352517985612e-05, 'epoch': 2.7} -{'loss': 0.4686, 'grad_norm': 2.47019100189209, 'learning_rate': 7.307553956834533e-05, 'epoch': 2.71} -{'loss': 0.4659, 'grad_norm': 1.1466805934906006, 'learning_rate': 7.305755395683453e-05, 'epoch': 2.71} -{'loss': 0.471, 'grad_norm': 1.5697100162506104, 'learning_rate': 7.303956834532376e-05, 'epoch': 2.71} -{'loss': 0.4603, 'grad_norm': 1.6427251100540161, 'learning_rate': 7.302158273381295e-05, 'epoch': 2.71} - 27%|█████████████████████████▋ | 1520/5570 [24:20<55:11, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4633772075176239, 'eval_runtime': 1.5349, 'eval_samples_per_second': 469.098, 'eval_steps_per_second': 3.909, 'epoch': 2.71} -{'loss': 0.4731, 'grad_norm': 1.2289291620254517, 'learning_rate': 7.300359712230216e-05, 'epoch': 2.71} -{'loss': 0.4509, 'grad_norm': 1.4354808330535889, 'learning_rate': 7.298561151079138e-05, 'epoch': 2.71} -{'loss': 0.4664, 'grad_norm': 1.8666623830795288, 'learning_rate': 7.296762589928057e-05, 'epoch': 2.72} -{'loss': 0.4627, 'grad_norm': 3.2585346698760986, 'learning_rate': 7.294964028776978e-05, 'epoch': 2.72} -{'loss': 0.469, 'grad_norm': 4.006847381591797, 'learning_rate': 7.2931654676259e-05, 'epoch': 2.72} -{'loss': 0.4766, 'grad_norm': 2.910654067993164, 'learning_rate': 7.29136690647482e-05, 'epoch': 2.72} -{'loss': 0.4743, 'grad_norm': 0.7584767937660217, 'learning_rate': 7.289568345323742e-05, 'epoch': 2.72} -{'loss': 0.4581, 'grad_norm': 1.7625162601470947, 'learning_rate': 7.287769784172662e-05, 'epoch': 2.73} -{'loss': 0.4717, 'grad_norm': 1.8055400848388672, 'learning_rate': 7.285971223021583e-05, 'epoch': 2.73} -{'loss': 0.461, 'grad_norm': 1.618326187133789, 'learning_rate': 7.284172661870504e-05, 'epoch': 2.73} - 27%|█████████████████████████▊ | 1530/5570 [24:30<55:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46194857358932495, 'eval_runtime': 1.5432, 'eval_samples_per_second': 466.578, 'eval_steps_per_second': 3.888, 'epoch': 2.73} -{'loss': 0.4685, 'grad_norm': 1.0995839834213257, 'learning_rate': 7.282374100719425e-05, 'epoch': 2.73} -{'loss': 0.465, 'grad_norm': 1.7008668184280396, 'learning_rate': 7.280575539568346e-05, 'epoch': 2.73} -{'loss': 0.4797, 'grad_norm': 1.1949876546859741, 'learning_rate': 7.278776978417266e-05, 'epoch': 2.73} -{'loss': 0.4652, 'grad_norm': 1.6363338232040405, 'learning_rate': 7.276978417266187e-05, 'epoch': 2.74} -{'loss': 0.4693, 'grad_norm': 3.15462064743042, 'learning_rate': 7.275179856115108e-05, 'epoch': 2.74} -{'loss': 0.4655, 'grad_norm': 1.029319167137146, 'learning_rate': 7.273381294964029e-05, 'epoch': 2.74} -{'loss': 0.4741, 'grad_norm': 2.1017065048217773, 'learning_rate': 7.271582733812951e-05, 'epoch': 2.74} -{'loss': 0.4746, 'grad_norm': 1.11854887008667, 'learning_rate': 7.269784172661872e-05, 'epoch': 2.74} -{'loss': 0.4733, 'grad_norm': 2.2815136909484863, 'learning_rate': 7.267985611510791e-05, 'epoch': 2.75} -{'loss': 0.474, 'grad_norm': 1.8692556619644165, 'learning_rate': 7.266187050359713e-05, 'epoch': 2.75} - 28%|█████████████████████████▉ | 1540/5570 [24:39<55:11, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4643927812576294, 'eval_runtime': 1.5365, 'eval_samples_per_second': 468.583, 'eval_steps_per_second': 3.905, 'epoch': 2.75} -{'loss': 0.4663, 'grad_norm': 2.0806329250335693, 'learning_rate': 7.264388489208634e-05, 'epoch': 2.75} -{'loss': 0.4638, 'grad_norm': 2.34718656539917, 'learning_rate': 7.262589928057553e-05, 'epoch': 2.75} -{'loss': 0.4588, 'grad_norm': 3.631082773208618, 'learning_rate': 7.260791366906475e-05, 'epoch': 2.75} -{'loss': 0.4735, 'grad_norm': 3.762906789779663, 'learning_rate': 7.258992805755396e-05, 'epoch': 2.75} -{'loss': 0.4745, 'grad_norm': 1.6518605947494507, 'learning_rate': 7.257194244604317e-05, 'epoch': 2.76} -{'loss': 0.4748, 'grad_norm': 2.499549150466919, 'learning_rate': 7.255395683453238e-05, 'epoch': 2.76} -{'loss': 0.4736, 'grad_norm': 1.8949551582336426, 'learning_rate': 7.253597122302159e-05, 'epoch': 2.76} -{'loss': 0.4653, 'grad_norm': 0.8020337820053101, 'learning_rate': 7.251798561151079e-05, 'epoch': 2.76} -{'loss': 0.4504, 'grad_norm': 1.5986675024032593, 'learning_rate': 7.25e-05, 'epoch': 2.76} -{'loss': 0.4597, 'grad_norm': 2.820816993713379, 'learning_rate': 7.248201438848922e-05, 'epoch': 2.76} - 28%|██████████████████████████▏ | 1550/5570 [24:49<54:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46276822686195374, 'eval_runtime': 1.5431, 'eval_samples_per_second': 466.605, 'eval_steps_per_second': 3.888, 'epoch': 2.76} -{'loss': 0.4672, 'grad_norm': 2.890073537826538, 'learning_rate': 7.246402877697842e-05, 'epoch': 2.77} -{'loss': 0.4689, 'grad_norm': 2.831770181655884, 'learning_rate': 7.244604316546762e-05, 'epoch': 2.77} -{'loss': 0.4659, 'grad_norm': 1.8306527137756348, 'learning_rate': 7.242805755395684e-05, 'epoch': 2.77} -{'loss': 0.474, 'grad_norm': 3.7438368797302246, 'learning_rate': 7.241007194244604e-05, 'epoch': 2.77} -{'loss': 0.4755, 'grad_norm': 4.785045623779297, 'learning_rate': 7.239208633093526e-05, 'epoch': 2.77} -{'loss': 0.4683, 'grad_norm': 2.745558023452759, 'learning_rate': 7.237410071942447e-05, 'epoch': 2.78} -{'loss': 0.476, 'grad_norm': 2.480116367340088, 'learning_rate': 7.235611510791368e-05, 'epoch': 2.78} -{'loss': 0.465, 'grad_norm': 4.860844612121582, 'learning_rate': 7.233812949640288e-05, 'epoch': 2.78} -{'loss': 0.4667, 'grad_norm': 1.9669815301895142, 'learning_rate': 7.232014388489209e-05, 'epoch': 2.78} -{'loss': 0.4762, 'grad_norm': 1.5443402528762817, 'learning_rate': 7.23021582733813e-05, 'epoch': 2.78} - 28%|██████████████████████████▎ | 1560/5570 [24:58<54:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4622763395309448, 'eval_runtime': 1.5467, 'eval_samples_per_second': 465.507, 'eval_steps_per_second': 3.879, 'epoch': 2.78} -{'loss': 0.4638, 'grad_norm': 0.7903727293014526, 'learning_rate': 7.22841726618705e-05, 'epoch': 2.78} -{'loss': 0.4741, 'grad_norm': 1.9957127571105957, 'learning_rate': 7.226618705035971e-05, 'epoch': 2.79} -{'loss': 0.4589, 'grad_norm': 1.2273184061050415, 'learning_rate': 7.224820143884892e-05, 'epoch': 2.79} -{'loss': 0.4662, 'grad_norm': 3.346287250518799, 'learning_rate': 7.223021582733813e-05, 'epoch': 2.79} -{'loss': 0.4691, 'grad_norm': 1.6921296119689941, 'learning_rate': 7.221223021582734e-05, 'epoch': 2.79} -{'loss': 0.4802, 'grad_norm': 3.9954140186309814, 'learning_rate': 7.219424460431656e-05, 'epoch': 2.79} -{'loss': 0.4852, 'grad_norm': 4.982535362243652, 'learning_rate': 7.217625899280575e-05, 'epoch': 2.8} -{'loss': 0.4795, 'grad_norm': 3.939702033996582, 'learning_rate': 7.215827338129497e-05, 'epoch': 2.8} -{'loss': 0.4776, 'grad_norm': 2.3255343437194824, 'learning_rate': 7.214028776978418e-05, 'epoch': 2.8} -{'loss': 0.4879, 'grad_norm': 4.677803993225098, 'learning_rate': 7.212230215827338e-05, 'epoch': 2.8} - 28%|██████████████████████████▍ | 1570/5570 [25:08<54:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4667665660381317, 'eval_runtime': 1.5333, 'eval_samples_per_second': 469.579, 'eval_steps_per_second': 3.913, 'epoch': 2.8} -{'loss': 0.4738, 'grad_norm': 4.685429096221924, 'learning_rate': 7.21043165467626e-05, 'epoch': 2.8} -{'loss': 0.4737, 'grad_norm': 1.6011734008789062, 'learning_rate': 7.20863309352518e-05, 'epoch': 2.8} -{'loss': 0.4664, 'grad_norm': 1.691080927848816, 'learning_rate': 7.206834532374101e-05, 'epoch': 2.81} -{'loss': 0.4641, 'grad_norm': 2.2227694988250732, 'learning_rate': 7.205035971223022e-05, 'epoch': 2.81} -{'loss': 0.4694, 'grad_norm': 1.886494755744934, 'learning_rate': 7.203237410071943e-05, 'epoch': 2.81} -{'loss': 0.4729, 'grad_norm': 1.4966493844985962, 'learning_rate': 7.201438848920864e-05, 'epoch': 2.81} -{'loss': 0.4715, 'grad_norm': 2.300034761428833, 'learning_rate': 7.199640287769784e-05, 'epoch': 2.81} -{'loss': 0.4647, 'grad_norm': 0.5026372671127319, 'learning_rate': 7.197841726618706e-05, 'epoch': 2.82} -{'loss': 0.4706, 'grad_norm': 2.1544852256774902, 'learning_rate': 7.196043165467626e-05, 'epoch': 2.82} -{'loss': 0.4683, 'grad_norm': 0.7193672060966492, 'learning_rate': 7.194244604316547e-05, 'epoch': 2.82} - 28%|██████████████████████████▋ | 1580/5570 [25:18<54:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.460532009601593, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.379, 'eval_steps_per_second': 3.92, 'epoch': 2.82} -{'loss': 0.4549, 'grad_norm': 0.5515236854553223, 'learning_rate': 7.192446043165469e-05, 'epoch': 2.82} -{'loss': 0.4633, 'grad_norm': 1.6904056072235107, 'learning_rate': 7.190647482014388e-05, 'epoch': 2.82} -{'loss': 0.4671, 'grad_norm': 1.8521509170532227, 'learning_rate': 7.188848920863309e-05, 'epoch': 2.82} -{'loss': 0.4698, 'grad_norm': 1.4802062511444092, 'learning_rate': 7.187050359712231e-05, 'epoch': 2.83} -{'loss': 0.4688, 'grad_norm': 3.4315896034240723, 'learning_rate': 7.18525179856115e-05, 'epoch': 2.83} -{'loss': 0.4767, 'grad_norm': 4.349888801574707, 'learning_rate': 7.183453237410073e-05, 'epoch': 2.83} -{'loss': 0.4593, 'grad_norm': 1.824957251548767, 'learning_rate': 7.181654676258993e-05, 'epoch': 2.83} -{'loss': 0.4655, 'grad_norm': 3.504031181335449, 'learning_rate': 7.179856115107914e-05, 'epoch': 2.83} -{'loss': 0.4802, 'grad_norm': 6.847798824310303, 'learning_rate': 7.178057553956835e-05, 'epoch': 2.83} -{'loss': 0.4741, 'grad_norm': 2.5617592334747314, 'learning_rate': 7.176258992805756e-05, 'epoch': 2.84} - 29%|██████████████████████████▊ | 1590/5570 [25:27<53:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4665502905845642, 'eval_runtime': 1.5353, 'eval_samples_per_second': 468.965, 'eval_steps_per_second': 3.908, 'epoch': 2.84} -{'loss': 0.477, 'grad_norm': 4.629134654998779, 'learning_rate': 7.174460431654676e-05, 'epoch': 2.84} -{'loss': 0.4777, 'grad_norm': 4.462996959686279, 'learning_rate': 7.172661870503597e-05, 'epoch': 2.84} -{'loss': 0.4716, 'grad_norm': 2.835358142852783, 'learning_rate': 7.170863309352518e-05, 'epoch': 2.84} -{'loss': 0.4646, 'grad_norm': 4.988960266113281, 'learning_rate': 7.169064748201439e-05, 'epoch': 2.84} -{'loss': 0.4824, 'grad_norm': 6.239925861358643, 'learning_rate': 7.16726618705036e-05, 'epoch': 2.85} -{'loss': 0.4678, 'grad_norm': 3.7337679862976074, 'learning_rate': 7.165467625899282e-05, 'epoch': 2.85} -{'loss': 0.4611, 'grad_norm': 1.8283498287200928, 'learning_rate': 7.163669064748202e-05, 'epoch': 2.85} -{'loss': 0.4829, 'grad_norm': 2.510615110397339, 'learning_rate': 7.161870503597122e-05, 'epoch': 2.85} -{'loss': 0.4748, 'grad_norm': 3.6122124195098877, 'learning_rate': 7.160071942446044e-05, 'epoch': 2.85} -{'loss': 0.4717, 'grad_norm': 1.9937907457351685, 'learning_rate': 7.158273381294965e-05, 'epoch': 2.85} - 29%|███████████████████████████ | 1600/5570 [25:37<53:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4692531228065491, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.735, 'eval_steps_per_second': 3.914, 'epoch': 2.85} -{'loss': 0.4785, 'grad_norm': 4.678041458129883, 'learning_rate': 7.156474820143884e-05, 'epoch': 2.86} -{'loss': 0.48, 'grad_norm': 4.2660322189331055, 'learning_rate': 7.154676258992806e-05, 'epoch': 2.86} -{'loss': 0.4688, 'grad_norm': 2.594022035598755, 'learning_rate': 7.152877697841727e-05, 'epoch': 2.86} -{'loss': 0.4658, 'grad_norm': 2.6490681171417236, 'learning_rate': 7.151079136690648e-05, 'epoch': 2.86} -{'loss': 0.4683, 'grad_norm': 3.9110097885131836, 'learning_rate': 7.149280575539569e-05, 'epoch': 2.86} -{'loss': 0.4703, 'grad_norm': 3.4412243366241455, 'learning_rate': 7.14748201438849e-05, 'epoch': 2.87} -{'loss': 0.4659, 'grad_norm': 2.7131638526916504, 'learning_rate': 7.14568345323741e-05, 'epoch': 2.87} -{'loss': 0.4702, 'grad_norm': 1.0394407510757446, 'learning_rate': 7.143884892086331e-05, 'epoch': 2.87} -{'loss': 0.4667, 'grad_norm': 2.836092472076416, 'learning_rate': 7.142086330935253e-05, 'epoch': 2.87} -{'loss': 0.4656, 'grad_norm': 1.8543672561645508, 'learning_rate': 7.140287769784172e-05, 'epoch': 2.87} - 29%|███████████████████████████▏ | 1610/5570 [25:46<54:09, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4624577760696411, 'eval_runtime': 1.5277, 'eval_samples_per_second': 471.302, 'eval_steps_per_second': 3.928, 'epoch': 2.87} -{'loss': 0.4688, 'grad_norm': 2.0561330318450928, 'learning_rate': 7.138489208633093e-05, 'epoch': 2.87} -{'loss': 0.4678, 'grad_norm': 2.3661599159240723, 'learning_rate': 7.136690647482015e-05, 'epoch': 2.88} -{'loss': 0.4791, 'grad_norm': 1.9907106161117554, 'learning_rate': 7.134892086330935e-05, 'epoch': 2.88} -{'loss': 0.4727, 'grad_norm': 1.0100178718566895, 'learning_rate': 7.133093525179857e-05, 'epoch': 2.88} -{'loss': 0.4643, 'grad_norm': 2.555887222290039, 'learning_rate': 7.131294964028778e-05, 'epoch': 2.88} -{'loss': 0.4604, 'grad_norm': 2.356396436691284, 'learning_rate': 7.129496402877698e-05, 'epoch': 2.88} -{'loss': 0.471, 'grad_norm': 2.5914199352264404, 'learning_rate': 7.127697841726619e-05, 'epoch': 2.89} -{'loss': 0.4707, 'grad_norm': 2.3661375045776367, 'learning_rate': 7.12589928057554e-05, 'epoch': 2.89} -{'loss': 0.4595, 'grad_norm': 1.0573222637176514, 'learning_rate': 7.124100719424461e-05, 'epoch': 2.89} -{'loss': 0.4542, 'grad_norm': 0.7109631299972534, 'learning_rate': 7.122302158273382e-05, 'epoch': 2.89} - 29%|███████████████████████████▎ | 1620/5570 [25:56<53:36, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46068835258483887, 'eval_runtime': 1.5496, 'eval_samples_per_second': 464.639, 'eval_steps_per_second': 3.872, 'epoch': 2.89} -{'loss': 0.4637, 'grad_norm': 3.3177921772003174, 'learning_rate': 7.120503597122302e-05, 'epoch': 2.89} -{'loss': 0.4674, 'grad_norm': 1.3104645013809204, 'learning_rate': 7.118705035971223e-05, 'epoch': 2.89} -{'loss': 0.4863, 'grad_norm': 2.3525140285491943, 'learning_rate': 7.116906474820144e-05, 'epoch': 2.9} -{'loss': 0.4645, 'grad_norm': 1.7650500535964966, 'learning_rate': 7.115107913669065e-05, 'epoch': 2.9} -{'loss': 0.4685, 'grad_norm': 0.9875931739807129, 'learning_rate': 7.113309352517987e-05, 'epoch': 2.9} -{'loss': 0.4629, 'grad_norm': 1.2410744428634644, 'learning_rate': 7.111510791366906e-05, 'epoch': 2.9} -{'loss': 0.4693, 'grad_norm': 2.691927671432495, 'learning_rate': 7.109712230215828e-05, 'epoch': 2.9} -{'loss': 0.4719, 'grad_norm': 3.1556825637817383, 'learning_rate': 7.107913669064749e-05, 'epoch': 2.9} -{'loss': 0.4616, 'grad_norm': 2.0731794834136963, 'learning_rate': 7.106115107913668e-05, 'epoch': 2.91} -{'loss': 0.4583, 'grad_norm': 2.876473903656006, 'learning_rate': 7.10431654676259e-05, 'epoch': 2.91} - 29%|███████████████████████████▌ | 1630/5570 [26:05<53:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4638172686100006, 'eval_runtime': 1.5444, 'eval_samples_per_second': 466.191, 'eval_steps_per_second': 3.885, 'epoch': 2.91} -{'loss': 0.47, 'grad_norm': 1.9813933372497559, 'learning_rate': 7.102517985611511e-05, 'epoch': 2.91} -{'loss': 0.4724, 'grad_norm': 2.389655351638794, 'learning_rate': 7.100719424460432e-05, 'epoch': 2.91} -{'loss': 0.4856, 'grad_norm': 2.915692090988159, 'learning_rate': 7.098920863309353e-05, 'epoch': 2.91} -{'loss': 0.4684, 'grad_norm': 2.609703302383423, 'learning_rate': 7.097122302158274e-05, 'epoch': 2.92} -{'loss': 0.4711, 'grad_norm': 1.6180452108383179, 'learning_rate': 7.095323741007194e-05, 'epoch': 2.92} -{'loss': 0.4606, 'grad_norm': 1.8813526630401611, 'learning_rate': 7.093525179856115e-05, 'epoch': 2.92} -{'loss': 0.4528, 'grad_norm': 0.6475714445114136, 'learning_rate': 7.091726618705037e-05, 'epoch': 2.92} -{'loss': 0.4634, 'grad_norm': 2.046627998352051, 'learning_rate': 7.089928057553957e-05, 'epoch': 2.92} -{'loss': 0.4776, 'grad_norm': 1.661644458770752, 'learning_rate': 7.088129496402878e-05, 'epoch': 2.92} -{'loss': 0.4686, 'grad_norm': 1.002952218055725, 'learning_rate': 7.0863309352518e-05, 'epoch': 2.93} - 29%|███████████████████████████▋ | 1640/5570 [26:15<53:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4647746682167053, 'eval_runtime': 1.5312, 'eval_samples_per_second': 470.218, 'eval_steps_per_second': 3.918, 'epoch': 2.93} -{'loss': 0.4601, 'grad_norm': 4.947024822235107, 'learning_rate': 7.084532374100719e-05, 'epoch': 2.93} -{'loss': 0.4818, 'grad_norm': 3.02197527885437, 'learning_rate': 7.08273381294964e-05, 'epoch': 2.93} -{'loss': 0.4634, 'grad_norm': 2.9732210636138916, 'learning_rate': 7.080935251798562e-05, 'epoch': 2.93} -{'loss': 0.4602, 'grad_norm': 4.928868293762207, 'learning_rate': 7.079136690647483e-05, 'epoch': 2.93} -{'loss': 0.4711, 'grad_norm': 3.3631088733673096, 'learning_rate': 7.077338129496404e-05, 'epoch': 2.94} -{'loss': 0.4734, 'grad_norm': 2.4049530029296875, 'learning_rate': 7.075539568345324e-05, 'epoch': 2.94} -{'loss': 0.4872, 'grad_norm': 4.779081344604492, 'learning_rate': 7.073741007194245e-05, 'epoch': 2.94} -{'loss': 0.479, 'grad_norm': 3.8507988452911377, 'learning_rate': 7.071942446043166e-05, 'epoch': 2.94} -{'loss': 0.4631, 'grad_norm': 2.2458102703094482, 'learning_rate': 7.070143884892087e-05, 'epoch': 2.94} -{'loss': 0.4613, 'grad_norm': 3.53291654586792, 'learning_rate': 7.068345323741007e-05, 'epoch': 2.94} - 30%|███████████████████████████▊ | 1650/5570 [26:25<53:20, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4617178738117218, 'eval_runtime': 1.5398, 'eval_samples_per_second': 467.58, 'eval_steps_per_second': 3.897, 'epoch': 2.94} -{'loss': 0.4671, 'grad_norm': 1.0951759815216064, 'learning_rate': 7.066546762589928e-05, 'epoch': 2.95} -{'loss': 0.4674, 'grad_norm': 0.7739891409873962, 'learning_rate': 7.064748201438849e-05, 'epoch': 2.95} -{'loss': 0.4685, 'grad_norm': 0.9275354146957397, 'learning_rate': 7.062949640287771e-05, 'epoch': 2.95} -{'loss': 0.4682, 'grad_norm': 1.2838585376739502, 'learning_rate': 7.06115107913669e-05, 'epoch': 2.95} -{'loss': 0.4643, 'grad_norm': 3.0443382263183594, 'learning_rate': 7.059352517985613e-05, 'epoch': 2.95} -{'loss': 0.4641, 'grad_norm': 2.32924222946167, 'learning_rate': 7.057553956834533e-05, 'epoch': 2.96} -{'loss': 0.4549, 'grad_norm': 1.2070283889770508, 'learning_rate': 7.055755395683453e-05, 'epoch': 2.96} -{'loss': 0.4649, 'grad_norm': 1.6324876546859741, 'learning_rate': 7.053956834532375e-05, 'epoch': 2.96} -{'loss': 0.4698, 'grad_norm': 1.6760176420211792, 'learning_rate': 7.052158273381296e-05, 'epoch': 2.96} -{'loss': 0.4629, 'grad_norm': 1.2704615592956543, 'learning_rate': 7.050359712230215e-05, 'epoch': 2.96} - 30%|████████████████████████████ | 1660/5570 [26:34<53:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46324026584625244, 'eval_runtime': 1.5293, 'eval_samples_per_second': 470.817, 'eval_steps_per_second': 3.923, 'epoch': 2.96} -{'loss': 0.4718, 'grad_norm': 1.9878216981887817, 'learning_rate': 7.048561151079137e-05, 'epoch': 2.96} -{'loss': 0.4673, 'grad_norm': 1.826876163482666, 'learning_rate': 7.046762589928058e-05, 'epoch': 2.97} -{'loss': 0.4687, 'grad_norm': 1.466271996498108, 'learning_rate': 7.044964028776979e-05, 'epoch': 2.97} -{'loss': 0.4743, 'grad_norm': 5.492223739624023, 'learning_rate': 7.0431654676259e-05, 'epoch': 2.97} -{'loss': 0.4709, 'grad_norm': 7.788296699523926, 'learning_rate': 7.04136690647482e-05, 'epoch': 2.97} -{'loss': 0.4693, 'grad_norm': 5.65125846862793, 'learning_rate': 7.039568345323741e-05, 'epoch': 2.97} -{'loss': 0.4763, 'grad_norm': 3.065934658050537, 'learning_rate': 7.037769784172662e-05, 'epoch': 2.97} -{'loss': 0.4671, 'grad_norm': 4.602108955383301, 'learning_rate': 7.035971223021584e-05, 'epoch': 2.98} -{'loss': 0.4777, 'grad_norm': 4.388375759124756, 'learning_rate': 7.034172661870503e-05, 'epoch': 2.98} -{'loss': 0.4732, 'grad_norm': 1.2728482484817505, 'learning_rate': 7.032374100719424e-05, 'epoch': 2.98} - 30%|████████████████████████████▏ | 1670/5570 [26:44<52:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4664439857006073, 'eval_runtime': 1.5226, 'eval_samples_per_second': 472.871, 'eval_steps_per_second': 3.941, 'epoch': 2.98} -{'loss': 0.4793, 'grad_norm': 2.674642562866211, 'learning_rate': 7.030575539568346e-05, 'epoch': 2.98} -{'loss': 0.4783, 'grad_norm': 3.4629361629486084, 'learning_rate': 7.028776978417266e-05, 'epoch': 2.98} -{'loss': 0.4616, 'grad_norm': 1.98574697971344, 'learning_rate': 7.026978417266188e-05, 'epoch': 2.99} -{'loss': 0.4719, 'grad_norm': 2.8997294902801514, 'learning_rate': 7.025179856115109e-05, 'epoch': 2.99} -{'loss': 0.4728, 'grad_norm': 4.904908657073975, 'learning_rate': 7.02338129496403e-05, 'epoch': 2.99} -{'loss': 0.476, 'grad_norm': 3.2372918128967285, 'learning_rate': 7.02158273381295e-05, 'epoch': 2.99} -{'loss': 0.4826, 'grad_norm': 6.400700092315674, 'learning_rate': 7.019784172661871e-05, 'epoch': 2.99} -{'loss': 0.4785, 'grad_norm': 7.5228471755981445, 'learning_rate': 7.017985611510792e-05, 'epoch': 2.99} -{'loss': 0.4795, 'grad_norm': 5.014825344085693, 'learning_rate': 7.016187050359712e-05, 'epoch': 3.0} -{'loss': 0.4701, 'grad_norm': 2.7747013568878174, 'learning_rate': 7.014388489208633e-05, 'epoch': 3.0} - 30%|████████████████████████████▎ | 1680/5570 [26:53<52:27, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4692119061946869, 'eval_runtime': 1.5541, 'eval_samples_per_second': 463.29, 'eval_steps_per_second': 3.861, 'epoch': 3.0} -{'loss': 0.4683, 'grad_norm': 3.287879228591919, 'learning_rate': 7.012589928057554e-05, 'epoch': 3.0} -{'loss': 0.4851, 'grad_norm': 6.353322982788086, 'learning_rate': 7.010791366906475e-05, 'epoch': 3.0} -{'loss': 0.4782, 'grad_norm': 3.9035189151763916, 'learning_rate': 7.008992805755396e-05, 'epoch': 3.0} -{'loss': 0.4729, 'grad_norm': 1.6189253330230713, 'learning_rate': 7.007194244604318e-05, 'epoch': 3.01} -{'loss': 0.4776, 'grad_norm': 2.4554483890533447, 'learning_rate': 7.005395683453237e-05, 'epoch': 3.01} -{'loss': 0.4722, 'grad_norm': 2.985403299331665, 'learning_rate': 7.003597122302159e-05, 'epoch': 3.01} -{'loss': 0.4736, 'grad_norm': 1.0978835821151733, 'learning_rate': 7.00179856115108e-05, 'epoch': 3.01} -{'loss': 0.4659, 'grad_norm': 5.015056133270264, 'learning_rate': 7e-05, 'epoch': 3.01} -{'loss': 0.4924, 'grad_norm': 6.373648166656494, 'learning_rate': 6.998201438848922e-05, 'epoch': 3.01} -{'loss': 0.4746, 'grad_norm': 4.998674392700195, 'learning_rate': 6.996402877697842e-05, 'epoch': 3.02} - 30%|████████████████████████████▌ | 1690/5570 [27:02<52:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4686020612716675, 'eval_runtime': 1.546, 'eval_samples_per_second': 465.726, 'eval_steps_per_second': 3.881, 'epoch': 3.02} -{'loss': 0.4786, 'grad_norm': 1.8700605630874634, 'learning_rate': 6.994604316546763e-05, 'epoch': 3.02} -{'loss': 0.4705, 'grad_norm': 4.070437431335449, 'learning_rate': 6.992805755395684e-05, 'epoch': 3.02} -{'loss': 0.4717, 'grad_norm': 4.774971961975098, 'learning_rate': 6.991007194244605e-05, 'epoch': 3.02} -{'loss': 0.4768, 'grad_norm': 1.8664137125015259, 'learning_rate': 6.989208633093525e-05, 'epoch': 3.02} -{'loss': 0.4671, 'grad_norm': 1.701728343963623, 'learning_rate': 6.987410071942446e-05, 'epoch': 3.03} -{'loss': 0.4673, 'grad_norm': 2.5513150691986084, 'learning_rate': 6.985611510791368e-05, 'epoch': 3.03} -{'loss': 0.4624, 'grad_norm': 2.7338180541992188, 'learning_rate': 6.983812949640288e-05, 'epoch': 3.03} -{'loss': 0.4664, 'grad_norm': 2.040159225463867, 'learning_rate': 6.982014388489208e-05, 'epoch': 3.03} -{'loss': 0.4647, 'grad_norm': 3.2899739742279053, 'learning_rate': 6.98021582733813e-05, 'epoch': 3.03} -{'loss': 0.4715, 'grad_norm': 5.245028018951416, 'learning_rate': 6.97841726618705e-05, 'epoch': 3.03} - 31%|████████████████████████████▋ | 1700/5570 [27:12<52:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46426308155059814, 'eval_runtime': 1.541, 'eval_samples_per_second': 467.237, 'eval_steps_per_second': 3.894, 'epoch': 3.03} -{'loss': 0.475, 'grad_norm': 3.8114023208618164, 'learning_rate': 6.976618705035971e-05, 'epoch': 3.04} -{'loss': 0.4634, 'grad_norm': 3.0483431816101074, 'learning_rate': 6.974820143884893e-05, 'epoch': 3.04} -{'loss': 0.4656, 'grad_norm': 2.988523483276367, 'learning_rate': 6.973021582733814e-05, 'epoch': 3.04} -{'loss': 0.4673, 'grad_norm': 1.685745358467102, 'learning_rate': 6.971223021582734e-05, 'epoch': 3.04} -{'loss': 0.4645, 'grad_norm': 1.68373441696167, 'learning_rate': 6.969424460431655e-05, 'epoch': 3.04} -{'loss': 0.4575, 'grad_norm': 2.255946159362793, 'learning_rate': 6.967625899280576e-05, 'epoch': 3.04} -{'loss': 0.4626, 'grad_norm': 1.0059890747070312, 'learning_rate': 6.965827338129497e-05, 'epoch': 3.05} -{'loss': 0.4579, 'grad_norm': 1.340130090713501, 'learning_rate': 6.964028776978418e-05, 'epoch': 3.05} -{'loss': 0.4559, 'grad_norm': 1.4327261447906494, 'learning_rate': 6.962230215827338e-05, 'epoch': 3.05} -{'loss': 0.4591, 'grad_norm': 2.4438204765319824, 'learning_rate': 6.960431654676259e-05, 'epoch': 3.05} - 31%|████████████████████████████▊ | 1710/5570 [27:22<52:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46150198578834534, 'eval_runtime': 1.5506, 'eval_samples_per_second': 464.332, 'eval_steps_per_second': 3.869, 'epoch': 3.05} -{'loss': 0.4624, 'grad_norm': 2.823444366455078, 'learning_rate': 6.95863309352518e-05, 'epoch': 3.05} -{'loss': 0.4556, 'grad_norm': 1.2396682500839233, 'learning_rate': 6.956834532374102e-05, 'epoch': 3.06} -{'loss': 0.471, 'grad_norm': 1.261277675628662, 'learning_rate': 6.955035971223021e-05, 'epoch': 3.06} -{'loss': 0.4671, 'grad_norm': 1.0094555616378784, 'learning_rate': 6.953237410071943e-05, 'epoch': 3.06} -{'loss': 0.4667, 'grad_norm': 1.3571678400039673, 'learning_rate': 6.951438848920864e-05, 'epoch': 3.06} -{'loss': 0.4547, 'grad_norm': 1.8466378450393677, 'learning_rate': 6.949640287769784e-05, 'epoch': 3.06} -{'loss': 0.4687, 'grad_norm': 2.486363172531128, 'learning_rate': 6.947841726618706e-05, 'epoch': 3.06} -{'loss': 0.4552, 'grad_norm': 1.675279974937439, 'learning_rate': 6.946043165467627e-05, 'epoch': 3.07} -{'loss': 0.4594, 'grad_norm': 1.3209309577941895, 'learning_rate': 6.944244604316546e-05, 'epoch': 3.07} -{'loss': 0.4678, 'grad_norm': 1.6355971097946167, 'learning_rate': 6.942446043165468e-05, 'epoch': 3.07} - 31%|█████████████████████████████ | 1720/5570 [27:31<52:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45889073610305786, 'eval_runtime': 1.543, 'eval_samples_per_second': 466.626, 'eval_steps_per_second': 3.889, 'epoch': 3.07} -{'loss': 0.4645, 'grad_norm': 1.5964194536209106, 'learning_rate': 6.940647482014389e-05, 'epoch': 3.07} -{'loss': 0.4638, 'grad_norm': 2.836416721343994, 'learning_rate': 6.93884892086331e-05, 'epoch': 3.07} -{'loss': 0.4704, 'grad_norm': 1.845493197441101, 'learning_rate': 6.93705035971223e-05, 'epoch': 3.08} -{'loss': 0.4687, 'grad_norm': 1.0251786708831787, 'learning_rate': 6.935251798561151e-05, 'epoch': 3.08} -{'loss': 0.4557, 'grad_norm': 1.91486656665802, 'learning_rate': 6.933453237410072e-05, 'epoch': 3.08} -{'loss': 0.4669, 'grad_norm': 2.766085147857666, 'learning_rate': 6.931654676258993e-05, 'epoch': 3.08} -{'loss': 0.4608, 'grad_norm': 1.1917086839675903, 'learning_rate': 6.929856115107915e-05, 'epoch': 3.08} -{'loss': 0.473, 'grad_norm': 2.0527665615081787, 'learning_rate': 6.928057553956834e-05, 'epoch': 3.08} -{'loss': 0.4704, 'grad_norm': 1.3950663805007935, 'learning_rate': 6.926258992805755e-05, 'epoch': 3.09} -{'loss': 0.4708, 'grad_norm': 3.6257176399230957, 'learning_rate': 6.924460431654677e-05, 'epoch': 3.09} - 31%|█████████████████████████████▏ | 1730/5570 [27:41<52:28, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4655294716358185, 'eval_runtime': 1.5283, 'eval_samples_per_second': 471.121, 'eval_steps_per_second': 3.926, 'epoch': 3.09} -{'loss': 0.4729, 'grad_norm': 3.7534339427948, 'learning_rate': 6.922661870503597e-05, 'epoch': 3.09} -{'loss': 0.4644, 'grad_norm': 0.8684372901916504, 'learning_rate': 6.920863309352519e-05, 'epoch': 3.09} -{'loss': 0.4615, 'grad_norm': 3.680677652359009, 'learning_rate': 6.91906474820144e-05, 'epoch': 3.09} -{'loss': 0.4718, 'grad_norm': 3.677910804748535, 'learning_rate': 6.91726618705036e-05, 'epoch': 3.1} -{'loss': 0.4588, 'grad_norm': 3.5961310863494873, 'learning_rate': 6.915467625899281e-05, 'epoch': 3.1} -{'loss': 0.4671, 'grad_norm': 2.5536909103393555, 'learning_rate': 6.913669064748202e-05, 'epoch': 3.1} -{'loss': 0.4638, 'grad_norm': 2.7243664264678955, 'learning_rate': 6.911870503597123e-05, 'epoch': 3.1} -{'loss': 0.4662, 'grad_norm': 3.577407121658325, 'learning_rate': 6.910071942446043e-05, 'epoch': 3.1} -{'loss': 0.4712, 'grad_norm': 5.459786891937256, 'learning_rate': 6.908273381294964e-05, 'epoch': 3.1} -{'loss': 0.4706, 'grad_norm': 3.5219829082489014, 'learning_rate': 6.906474820143886e-05, 'epoch': 3.11} - 31%|█████████████████████████████▎ | 1740/5570 [27:50<52:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46362823247909546, 'eval_runtime': 1.5411, 'eval_samples_per_second': 467.206, 'eval_steps_per_second': 3.893, 'epoch': 3.11} -{'loss': 0.4721, 'grad_norm': 3.3579907417297363, 'learning_rate': 6.904676258992806e-05, 'epoch': 3.11} -{'loss': 0.4773, 'grad_norm': 4.003343105316162, 'learning_rate': 6.902877697841726e-05, 'epoch': 3.11} -{'loss': 0.4707, 'grad_norm': 6.287690162658691, 'learning_rate': 6.901079136690649e-05, 'epoch': 3.11} -{'loss': 0.4669, 'grad_norm': 3.1357200145721436, 'learning_rate': 6.899280575539568e-05, 'epoch': 3.11} -{'loss': 0.4609, 'grad_norm': 1.532231092453003, 'learning_rate': 6.89748201438849e-05, 'epoch': 3.11} -{'loss': 0.4635, 'grad_norm': 5.781942367553711, 'learning_rate': 6.895683453237411e-05, 'epoch': 3.12} -{'loss': 0.4656, 'grad_norm': 5.538058280944824, 'learning_rate': 6.89388489208633e-05, 'epoch': 3.12} -{'loss': 0.4655, 'grad_norm': 3.996767282485962, 'learning_rate': 6.892086330935252e-05, 'epoch': 3.12} -{'loss': 0.4698, 'grad_norm': 3.9235968589782715, 'learning_rate': 6.890287769784173e-05, 'epoch': 3.12} -{'loss': 0.4617, 'grad_norm': 4.856189727783203, 'learning_rate': 6.888489208633094e-05, 'epoch': 3.12} - 31%|█████████████████████████████▌ | 1750/5570 [28:00<51:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4633113145828247, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.645, 'eval_steps_per_second': 3.905, 'epoch': 3.12} -{'loss': 0.4732, 'grad_norm': 4.649460315704346, 'learning_rate': 6.886690647482015e-05, 'epoch': 3.13} -{'loss': 0.4772, 'grad_norm': 3.8294849395751953, 'learning_rate': 6.884892086330935e-05, 'epoch': 3.13} -{'loss': 0.4634, 'grad_norm': 3.249870777130127, 'learning_rate': 6.883093525179856e-05, 'epoch': 3.13} -{'loss': 0.479, 'grad_norm': 2.4976673126220703, 'learning_rate': 6.881294964028777e-05, 'epoch': 3.13} -{'loss': 0.4721, 'grad_norm': 1.3112162351608276, 'learning_rate': 6.879496402877699e-05, 'epoch': 3.13} -{'loss': 0.4663, 'grad_norm': 3.21988582611084, 'learning_rate': 6.877697841726619e-05, 'epoch': 3.13} -{'loss': 0.4573, 'grad_norm': 2.5955371856689453, 'learning_rate': 6.87589928057554e-05, 'epoch': 3.14} -{'loss': 0.465, 'grad_norm': 1.8256616592407227, 'learning_rate': 6.874100719424461e-05, 'epoch': 3.14} -{'loss': 0.4617, 'grad_norm': 1.2089084386825562, 'learning_rate': 6.872302158273381e-05, 'epoch': 3.14} -{'loss': 0.4618, 'grad_norm': 1.5064895153045654, 'learning_rate': 6.870503597122302e-05, 'epoch': 3.14} - 32%|█████████████████████████████▋ | 1760/5570 [28:09<51:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45771288871765137, 'eval_runtime': 1.5452, 'eval_samples_per_second': 465.969, 'eval_steps_per_second': 3.883, 'epoch': 3.14} -{'loss': 0.4568, 'grad_norm': 0.8085218667984009, 'learning_rate': 6.868705035971224e-05, 'epoch': 3.14} -{'loss': 0.4573, 'grad_norm': 1.9033303260803223, 'learning_rate': 6.866906474820145e-05, 'epoch': 3.15} -{'loss': 0.4688, 'grad_norm': 2.2667622566223145, 'learning_rate': 6.865107913669065e-05, 'epoch': 3.15} -{'loss': 0.4622, 'grad_norm': 1.0917563438415527, 'learning_rate': 6.863309352517986e-05, 'epoch': 3.15} -{'loss': 0.4635, 'grad_norm': 0.7407805323600769, 'learning_rate': 6.861510791366907e-05, 'epoch': 3.15} -{'loss': 0.4655, 'grad_norm': 1.8269177675247192, 'learning_rate': 6.859712230215828e-05, 'epoch': 3.15} -{'loss': 0.4618, 'grad_norm': 0.8139212727546692, 'learning_rate': 6.857913669064748e-05, 'epoch': 3.15} -{'loss': 0.4694, 'grad_norm': 4.197547435760498, 'learning_rate': 6.856115107913669e-05, 'epoch': 3.16} -{'loss': 0.4683, 'grad_norm': 4.097588062286377, 'learning_rate': 6.85431654676259e-05, 'epoch': 3.16} -{'loss': 0.4675, 'grad_norm': 2.737858295440674, 'learning_rate': 6.852517985611511e-05, 'epoch': 3.16} - 32%|█████████████████████████████▊ | 1770/5570 [28:19<51:48, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46228188276290894, 'eval_runtime': 1.5372, 'eval_samples_per_second': 468.391, 'eval_steps_per_second': 3.903, 'epoch': 3.16} -{'loss': 0.4631, 'grad_norm': 0.8970543146133423, 'learning_rate': 6.850719424460433e-05, 'epoch': 3.16} -{'loss': 0.466, 'grad_norm': 2.368103504180908, 'learning_rate': 6.848920863309352e-05, 'epoch': 3.16} -{'loss': 0.4586, 'grad_norm': 4.280866622924805, 'learning_rate': 6.847122302158274e-05, 'epoch': 3.17} -{'loss': 0.4568, 'grad_norm': 1.4235284328460693, 'learning_rate': 6.845323741007195e-05, 'epoch': 3.17} -{'loss': 0.4784, 'grad_norm': 4.1876678466796875, 'learning_rate': 6.843525179856115e-05, 'epoch': 3.17} -{'loss': 0.4685, 'grad_norm': 4.295745372772217, 'learning_rate': 6.841726618705037e-05, 'epoch': 3.17} -{'loss': 0.4575, 'grad_norm': 2.5245163440704346, 'learning_rate': 6.839928057553957e-05, 'epoch': 3.17} -{'loss': 0.4683, 'grad_norm': 3.060088634490967, 'learning_rate': 6.838129496402877e-05, 'epoch': 3.17} -{'loss': 0.4726, 'grad_norm': 3.4219093322753906, 'learning_rate': 6.836330935251799e-05, 'epoch': 3.18} -{'loss': 0.4596, 'grad_norm': 1.929527759552002, 'learning_rate': 6.83453237410072e-05, 'epoch': 3.18} - 32%|██████████████████████████████ | 1780/5570 [28:29<51:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46120986342430115, 'eval_runtime': 1.5347, 'eval_samples_per_second': 469.151, 'eval_steps_per_second': 3.91, 'epoch': 3.18} -{'loss': 0.4617, 'grad_norm': 2.5207509994506836, 'learning_rate': 6.83273381294964e-05, 'epoch': 3.18} -{'loss': 0.4666, 'grad_norm': 1.1419153213500977, 'learning_rate': 6.830935251798561e-05, 'epoch': 3.18} -{'loss': 0.4629, 'grad_norm': 5.119614601135254, 'learning_rate': 6.829136690647482e-05, 'epoch': 3.18} -{'loss': 0.4712, 'grad_norm': 2.27592134475708, 'learning_rate': 6.827338129496403e-05, 'epoch': 3.18} -{'loss': 0.4724, 'grad_norm': 3.5582151412963867, 'learning_rate': 6.825539568345324e-05, 'epoch': 3.19} -{'loss': 0.4728, 'grad_norm': 5.693300247192383, 'learning_rate': 6.823741007194246e-05, 'epoch': 3.19} -{'loss': 0.4718, 'grad_norm': 2.9986579418182373, 'learning_rate': 6.821942446043165e-05, 'epoch': 3.19} -{'loss': 0.4678, 'grad_norm': 4.641687393188477, 'learning_rate': 6.820143884892086e-05, 'epoch': 3.19} -{'loss': 0.4748, 'grad_norm': 2.3375084400177, 'learning_rate': 6.818345323741008e-05, 'epoch': 3.19} -{'loss': 0.465, 'grad_norm': 1.1797895431518555, 'learning_rate': 6.816546762589929e-05, 'epoch': 3.2} - 32%|██████████████████████████████▏ | 1790/5570 [28:38<51:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46065181493759155, 'eval_runtime': 1.5378, 'eval_samples_per_second': 468.197, 'eval_steps_per_second': 3.902, 'epoch': 3.2} -{'loss': 0.4569, 'grad_norm': 3.436408042907715, 'learning_rate': 6.81474820143885e-05, 'epoch': 3.2} -{'loss': 0.4734, 'grad_norm': 2.5607259273529053, 'learning_rate': 6.81294964028777e-05, 'epoch': 3.2} -{'loss': 0.4754, 'grad_norm': 2.034536361694336, 'learning_rate': 6.811151079136691e-05, 'epoch': 3.2} -{'loss': 0.4538, 'grad_norm': 4.210476398468018, 'learning_rate': 6.809352517985612e-05, 'epoch': 3.2} -{'loss': 0.4673, 'grad_norm': 5.92624044418335, 'learning_rate': 6.807553956834533e-05, 'epoch': 3.2} -{'loss': 0.4629, 'grad_norm': 2.5212693214416504, 'learning_rate': 6.805755395683453e-05, 'epoch': 3.21} -{'loss': 0.4752, 'grad_norm': 4.497139930725098, 'learning_rate': 6.803956834532374e-05, 'epoch': 3.21} -{'loss': 0.4752, 'grad_norm': 5.484271049499512, 'learning_rate': 6.802158273381295e-05, 'epoch': 3.21} -{'loss': 0.468, 'grad_norm': 2.6122021675109863, 'learning_rate': 6.800359712230217e-05, 'epoch': 3.21} -{'loss': 0.4647, 'grad_norm': 2.5054678916931152, 'learning_rate': 6.798561151079137e-05, 'epoch': 3.21} - 32%|██████████████████████████████▍ | 1800/5570 [28:48<51:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46379613876342773, 'eval_runtime': 1.5362, 'eval_samples_per_second': 468.675, 'eval_steps_per_second': 3.906, 'epoch': 3.21} -{'loss': 0.4678, 'grad_norm': 1.8797842264175415, 'learning_rate': 6.796762589928057e-05, 'epoch': 3.22} -{'loss': 0.4676, 'grad_norm': 2.711538076400757, 'learning_rate': 6.79496402877698e-05, 'epoch': 3.22} -{'loss': 0.4613, 'grad_norm': 2.4609696865081787, 'learning_rate': 6.793165467625899e-05, 'epoch': 3.22} -{'loss': 0.4524, 'grad_norm': 3.4160826206207275, 'learning_rate': 6.791366906474821e-05, 'epoch': 3.22} -{'loss': 0.4628, 'grad_norm': 2.634026527404785, 'learning_rate': 6.789568345323742e-05, 'epoch': 3.22} -{'loss': 0.4664, 'grad_norm': 3.0216634273529053, 'learning_rate': 6.787769784172661e-05, 'epoch': 3.22} -{'loss': 0.4736, 'grad_norm': 5.791989803314209, 'learning_rate': 6.785971223021583e-05, 'epoch': 3.23} -{'loss': 0.4793, 'grad_norm': 7.149657726287842, 'learning_rate': 6.784172661870504e-05, 'epoch': 3.23} -{'loss': 0.4564, 'grad_norm': 2.748574733734131, 'learning_rate': 6.782374100719425e-05, 'epoch': 3.23} -{'loss': 0.469, 'grad_norm': 4.0393877029418945, 'learning_rate': 6.780575539568346e-05, 'epoch': 3.23} - 32%|██████████████████████████████▌ | 1810/5570 [28:57<51:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4671635031700134, 'eval_runtime': 1.5284, 'eval_samples_per_second': 471.087, 'eval_steps_per_second': 3.926, 'epoch': 3.23} -{'loss': 0.4642, 'grad_norm': 6.371819496154785, 'learning_rate': 6.778776978417266e-05, 'epoch': 3.23} -{'loss': 0.4701, 'grad_norm': 5.9261579513549805, 'learning_rate': 6.776978417266187e-05, 'epoch': 3.24} -{'loss': 0.468, 'grad_norm': 1.8604373931884766, 'learning_rate': 6.775179856115108e-05, 'epoch': 3.24} -{'loss': 0.4562, 'grad_norm': 2.1944546699523926, 'learning_rate': 6.77338129496403e-05, 'epoch': 3.24} -{'loss': 0.4693, 'grad_norm': 4.1972503662109375, 'learning_rate': 6.77158273381295e-05, 'epoch': 3.24} -{'loss': 0.4695, 'grad_norm': 3.1096303462982178, 'learning_rate': 6.76978417266187e-05, 'epoch': 3.24} -{'loss': 0.4614, 'grad_norm': 1.6157262325286865, 'learning_rate': 6.767985611510792e-05, 'epoch': 3.24} -{'loss': 0.4639, 'grad_norm': 2.9502742290496826, 'learning_rate': 6.766187050359712e-05, 'epoch': 3.25} -{'loss': 0.4682, 'grad_norm': 4.507394790649414, 'learning_rate': 6.764388489208633e-05, 'epoch': 3.25} -{'loss': 0.467, 'grad_norm': 3.2855515480041504, 'learning_rate': 6.762589928057555e-05, 'epoch': 3.25} - 33%|██████████████████████████████▋ | 1820/5570 [29:07<51:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4589585065841675, 'eval_runtime': 1.5267, 'eval_samples_per_second': 471.596, 'eval_steps_per_second': 3.93, 'epoch': 3.25} -{'loss': 0.4603, 'grad_norm': 1.1787235736846924, 'learning_rate': 6.760791366906475e-05, 'epoch': 3.25} -{'loss': 0.459, 'grad_norm': 2.8261444568634033, 'learning_rate': 6.758992805755396e-05, 'epoch': 3.25} -{'loss': 0.468, 'grad_norm': 3.001060962677002, 'learning_rate': 6.757194244604317e-05, 'epoch': 3.25} -{'loss': 0.4702, 'grad_norm': 3.1628224849700928, 'learning_rate': 6.755395683453238e-05, 'epoch': 3.26} -{'loss': 0.4756, 'grad_norm': 2.2654500007629395, 'learning_rate': 6.753597122302159e-05, 'epoch': 3.26} -{'loss': 0.4608, 'grad_norm': 1.584655523300171, 'learning_rate': 6.751798561151079e-05, 'epoch': 3.26} -{'loss': 0.4643, 'grad_norm': 1.4401954412460327, 'learning_rate': 6.750000000000001e-05, 'epoch': 3.26} -{'loss': 0.4632, 'grad_norm': 1.3292524814605713, 'learning_rate': 6.748201438848921e-05, 'epoch': 3.26} -{'loss': 0.4679, 'grad_norm': 1.7718818187713623, 'learning_rate': 6.746402877697842e-05, 'epoch': 3.27} -{'loss': 0.4636, 'grad_norm': 1.6245261430740356, 'learning_rate': 6.744604316546764e-05, 'epoch': 3.27} - 33%|██████████████████████████████▉ | 1830/5570 [29:16<50:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46033647656440735, 'eval_runtime': 1.5381, 'eval_samples_per_second': 468.102, 'eval_steps_per_second': 3.901, 'epoch': 3.27} -{'loss': 0.4581, 'grad_norm': 3.1456263065338135, 'learning_rate': 6.742805755395683e-05, 'epoch': 3.27} -{'loss': 0.4684, 'grad_norm': 3.1649672985076904, 'learning_rate': 6.741007194244605e-05, 'epoch': 3.27} -{'loss': 0.4626, 'grad_norm': 0.6308818459510803, 'learning_rate': 6.739208633093526e-05, 'epoch': 3.27} -{'loss': 0.4543, 'grad_norm': 2.2151424884796143, 'learning_rate': 6.737410071942445e-05, 'epoch': 3.27} -{'loss': 0.4661, 'grad_norm': 1.6627353429794312, 'learning_rate': 6.735611510791368e-05, 'epoch': 3.28} -{'loss': 0.4521, 'grad_norm': 1.5429993867874146, 'learning_rate': 6.733812949640288e-05, 'epoch': 3.28} -{'loss': 0.4575, 'grad_norm': 2.0839765071868896, 'learning_rate': 6.732014388489208e-05, 'epoch': 3.28} -{'loss': 0.4634, 'grad_norm': 1.6036391258239746, 'learning_rate': 6.73021582733813e-05, 'epoch': 3.28} -{'loss': 0.4647, 'grad_norm': 2.889587163925171, 'learning_rate': 6.728417266187051e-05, 'epoch': 3.28} -{'loss': 0.4674, 'grad_norm': 3.097900390625, 'learning_rate': 6.726618705035971e-05, 'epoch': 3.29} - 33%|███████████████████████████████ | 1840/5570 [29:26<50:02, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45935922861099243, 'eval_runtime': 1.5516, 'eval_samples_per_second': 464.049, 'eval_steps_per_second': 3.867, 'epoch': 3.29} -{'loss': 0.4641, 'grad_norm': 2.2513246536254883, 'learning_rate': 6.724820143884892e-05, 'epoch': 3.29} -{'loss': 0.459, 'grad_norm': 1.2047548294067383, 'learning_rate': 6.723021582733813e-05, 'epoch': 3.29} -{'loss': 0.4708, 'grad_norm': 4.264107704162598, 'learning_rate': 6.721223021582734e-05, 'epoch': 3.29} -{'loss': 0.4657, 'grad_norm': 3.55721116065979, 'learning_rate': 6.719424460431655e-05, 'epoch': 3.29} -{'loss': 0.4591, 'grad_norm': 1.5212987661361694, 'learning_rate': 6.717625899280577e-05, 'epoch': 3.29} -{'loss': 0.4692, 'grad_norm': 3.2820942401885986, 'learning_rate': 6.715827338129496e-05, 'epoch': 3.3} -{'loss': 0.4503, 'grad_norm': 1.0735855102539062, 'learning_rate': 6.714028776978417e-05, 'epoch': 3.3} -{'loss': 0.4658, 'grad_norm': 3.2122156620025635, 'learning_rate': 6.712230215827339e-05, 'epoch': 3.3} -{'loss': 0.4688, 'grad_norm': 3.2791028022766113, 'learning_rate': 6.71043165467626e-05, 'epoch': 3.3} -{'loss': 0.4703, 'grad_norm': 1.7400163412094116, 'learning_rate': 6.70863309352518e-05, 'epoch': 3.3} - 33%|███████████████████████████████▏ | 1850/5570 [29:35<51:29, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45916885137557983, 'eval_runtime': 1.5467, 'eval_samples_per_second': 465.507, 'eval_steps_per_second': 3.879, 'epoch': 3.3} -{'loss': 0.466, 'grad_norm': 1.0621603727340698, 'learning_rate': 6.706834532374101e-05, 'epoch': 3.31} -{'loss': 0.4631, 'grad_norm': 1.8459147214889526, 'learning_rate': 6.705035971223022e-05, 'epoch': 3.31} -{'loss': 0.4673, 'grad_norm': 1.0006909370422363, 'learning_rate': 6.703237410071943e-05, 'epoch': 3.31} -{'loss': 0.4661, 'grad_norm': 3.1516780853271484, 'learning_rate': 6.701438848920864e-05, 'epoch': 3.31} -{'loss': 0.4564, 'grad_norm': 2.596144914627075, 'learning_rate': 6.699640287769784e-05, 'epoch': 3.31} -{'loss': 0.4593, 'grad_norm': 1.2742512226104736, 'learning_rate': 6.697841726618705e-05, 'epoch': 3.31} -{'loss': 0.4589, 'grad_norm': 2.4628026485443115, 'learning_rate': 6.696043165467626e-05, 'epoch': 3.32} -{'loss': 0.4792, 'grad_norm': 1.9908592700958252, 'learning_rate': 6.694244604316548e-05, 'epoch': 3.32} -{'loss': 0.4749, 'grad_norm': 2.4379634857177734, 'learning_rate': 6.692446043165467e-05, 'epoch': 3.32} -{'loss': 0.4659, 'grad_norm': 2.0766077041625977, 'learning_rate': 6.690647482014388e-05, 'epoch': 3.32} - 33%|███████████████████████████████▍ | 1860/5570 [29:45<50:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4611673951148987, 'eval_runtime': 1.547, 'eval_samples_per_second': 465.425, 'eval_steps_per_second': 3.879, 'epoch': 3.32} -{'loss': 0.471, 'grad_norm': 2.272207736968994, 'learning_rate': 6.68884892086331e-05, 'epoch': 3.32} -{'loss': 0.4661, 'grad_norm': 2.8498144149780273, 'learning_rate': 6.68705035971223e-05, 'epoch': 3.32} -{'loss': 0.4739, 'grad_norm': 1.4805898666381836, 'learning_rate': 6.685251798561152e-05, 'epoch': 3.33} -{'loss': 0.4624, 'grad_norm': 4.658542156219482, 'learning_rate': 6.683453237410073e-05, 'epoch': 3.33} -{'loss': 0.4705, 'grad_norm': 4.853320121765137, 'learning_rate': 6.681654676258992e-05, 'epoch': 3.33} -{'loss': 0.4641, 'grad_norm': 0.7328240871429443, 'learning_rate': 6.679856115107914e-05, 'epoch': 3.33} -{'loss': 0.4573, 'grad_norm': 0.7119521498680115, 'learning_rate': 6.678057553956835e-05, 'epoch': 3.33} -{'loss': 0.4703, 'grad_norm': 1.1307706832885742, 'learning_rate': 6.676258992805756e-05, 'epoch': 3.34} -{'loss': 0.4637, 'grad_norm': 1.7222398519515991, 'learning_rate': 6.674460431654677e-05, 'epoch': 3.34} -{'loss': 0.4695, 'grad_norm': 2.4426705837249756, 'learning_rate': 6.672661870503597e-05, 'epoch': 3.34} - 34%|███████████████████████████████▌ | 1870/5570 [29:55<50:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46333223581314087, 'eval_runtime': 1.5384, 'eval_samples_per_second': 468.028, 'eval_steps_per_second': 3.9, 'epoch': 3.34} -{'loss': 0.4716, 'grad_norm': 1.8987772464752197, 'learning_rate': 6.670863309352518e-05, 'epoch': 3.34} -{'loss': 0.4611, 'grad_norm': 2.634023666381836, 'learning_rate': 6.669064748201439e-05, 'epoch': 3.34} -{'loss': 0.4686, 'grad_norm': 2.900122880935669, 'learning_rate': 6.667266187050361e-05, 'epoch': 3.34} -{'loss': 0.4757, 'grad_norm': 4.362447261810303, 'learning_rate': 6.66546762589928e-05, 'epoch': 3.35} -{'loss': 0.4661, 'grad_norm': 2.9103970527648926, 'learning_rate': 6.663669064748201e-05, 'epoch': 3.35} -{'loss': 0.4647, 'grad_norm': 1.2793253660202026, 'learning_rate': 6.661870503597123e-05, 'epoch': 3.35} -{'loss': 0.4562, 'grad_norm': 2.302380084991455, 'learning_rate': 6.660071942446044e-05, 'epoch': 3.35} -{'loss': 0.4648, 'grad_norm': 3.620181083679199, 'learning_rate': 6.658273381294963e-05, 'epoch': 3.35} -{'loss': 0.4581, 'grad_norm': 2.3135008811950684, 'learning_rate': 6.656474820143886e-05, 'epoch': 3.36} -{'loss': 0.4724, 'grad_norm': 3.7553749084472656, 'learning_rate': 6.654676258992806e-05, 'epoch': 3.36} - 34%|███████████████████████████████▋ | 1880/5570 [30:04<49:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4622635245323181, 'eval_runtime': 1.5412, 'eval_samples_per_second': 467.17, 'eval_steps_per_second': 3.893, 'epoch': 3.36} -{'loss': 0.4671, 'grad_norm': 2.681974172592163, 'learning_rate': 6.652877697841727e-05, 'epoch': 3.36} -{'loss': 0.463, 'grad_norm': 2.4328296184539795, 'learning_rate': 6.651079136690648e-05, 'epoch': 3.36} -{'loss': 0.4712, 'grad_norm': 3.312248706817627, 'learning_rate': 6.649280575539569e-05, 'epoch': 3.36} -{'loss': 0.4778, 'grad_norm': 4.248572826385498, 'learning_rate': 6.64748201438849e-05, 'epoch': 3.36} -{'loss': 0.4686, 'grad_norm': 2.838484048843384, 'learning_rate': 6.64568345323741e-05, 'epoch': 3.37} -{'loss': 0.4647, 'grad_norm': 1.5474435091018677, 'learning_rate': 6.643884892086332e-05, 'epoch': 3.37} -{'loss': 0.4698, 'grad_norm': 2.639862298965454, 'learning_rate': 6.642086330935252e-05, 'epoch': 3.37} -{'loss': 0.4686, 'grad_norm': 3.517016649246216, 'learning_rate': 6.640287769784173e-05, 'epoch': 3.37} -{'loss': 0.4581, 'grad_norm': 1.5189645290374756, 'learning_rate': 6.638489208633095e-05, 'epoch': 3.37} -{'loss': 0.4568, 'grad_norm': 1.8925613164901733, 'learning_rate': 6.636690647482014e-05, 'epoch': 3.38} - 34%|███████████████████████████████▉ | 1890/5570 [30:14<49:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4613359272480011, 'eval_runtime': 1.5366, 'eval_samples_per_second': 468.575, 'eval_steps_per_second': 3.905, 'epoch': 3.38} -{'loss': 0.4695, 'grad_norm': 5.684345245361328, 'learning_rate': 6.634892086330936e-05, 'epoch': 3.38} -{'loss': 0.4606, 'grad_norm': 3.1164042949676514, 'learning_rate': 6.633093525179857e-05, 'epoch': 3.38} -{'loss': 0.467, 'grad_norm': 1.850008487701416, 'learning_rate': 6.631294964028776e-05, 'epoch': 3.38} -{'loss': 0.4576, 'grad_norm': 3.1103649139404297, 'learning_rate': 6.629496402877699e-05, 'epoch': 3.38} -{'loss': 0.4764, 'grad_norm': 5.292874813079834, 'learning_rate': 6.627697841726619e-05, 'epoch': 3.38} -{'loss': 0.4649, 'grad_norm': 4.0141496658325195, 'learning_rate': 6.62589928057554e-05, 'epoch': 3.39} -{'loss': 0.4595, 'grad_norm': 2.0928843021392822, 'learning_rate': 6.624100719424461e-05, 'epoch': 3.39} -{'loss': 0.4591, 'grad_norm': 3.3115105628967285, 'learning_rate': 6.622302158273382e-05, 'epoch': 3.39} -{'loss': 0.4697, 'grad_norm': 4.348182678222656, 'learning_rate': 6.620503597122302e-05, 'epoch': 3.39} -{'loss': 0.4707, 'grad_norm': 5.336612701416016, 'learning_rate': 6.618705035971223e-05, 'epoch': 3.39} - 34%|████████████████████████████████ | 1900/5570 [30:23<49:27, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4612726867198944, 'eval_runtime': 1.5284, 'eval_samples_per_second': 471.092, 'eval_steps_per_second': 3.926, 'epoch': 3.39} -{'loss': 0.4597, 'grad_norm': 3.0923049449920654, 'learning_rate': 6.616906474820144e-05, 'epoch': 3.39} -{'loss': 0.4589, 'grad_norm': 0.9308965802192688, 'learning_rate': 6.615107913669065e-05, 'epoch': 3.4} -{'loss': 0.4532, 'grad_norm': 2.9557864665985107, 'learning_rate': 6.613309352517985e-05, 'epoch': 3.4} -{'loss': 0.4757, 'grad_norm': 4.606135368347168, 'learning_rate': 6.611510791366908e-05, 'epoch': 3.4} -{'loss': 0.4807, 'grad_norm': 4.118152618408203, 'learning_rate': 6.609712230215827e-05, 'epoch': 3.4} -{'loss': 0.4687, 'grad_norm': 2.2725002765655518, 'learning_rate': 6.607913669064748e-05, 'epoch': 3.4} -{'loss': 0.4691, 'grad_norm': 2.9887094497680664, 'learning_rate': 6.60611510791367e-05, 'epoch': 3.41} -{'loss': 0.4653, 'grad_norm': 2.902737617492676, 'learning_rate': 6.60431654676259e-05, 'epoch': 3.41} -{'loss': 0.4665, 'grad_norm': 3.3268086910247803, 'learning_rate': 6.602517985611511e-05, 'epoch': 3.41} -{'loss': 0.4695, 'grad_norm': 1.7940034866333008, 'learning_rate': 6.600719424460432e-05, 'epoch': 3.41} - 34%|████████████████████████████████▏ | 1910/5570 [30:33<49:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46075230836868286, 'eval_runtime': 1.5372, 'eval_samples_per_second': 468.399, 'eval_steps_per_second': 3.903, 'epoch': 3.41} -{'loss': 0.4522, 'grad_norm': 3.0910656452178955, 'learning_rate': 6.598920863309353e-05, 'epoch': 3.41} -{'loss': 0.4616, 'grad_norm': 2.6411375999450684, 'learning_rate': 6.597122302158274e-05, 'epoch': 3.41} -{'loss': 0.4584, 'grad_norm': 1.1475452184677124, 'learning_rate': 6.595323741007195e-05, 'epoch': 3.42} -{'loss': 0.4814, 'grad_norm': 2.0616343021392822, 'learning_rate': 6.593525179856115e-05, 'epoch': 3.42} -{'loss': 0.4694, 'grad_norm': 1.6926440000534058, 'learning_rate': 6.591726618705036e-05, 'epoch': 3.42} -{'loss': 0.466, 'grad_norm': 2.7327816486358643, 'learning_rate': 6.589928057553957e-05, 'epoch': 3.42} -{'loss': 0.4722, 'grad_norm': 2.598137855529785, 'learning_rate': 6.588129496402879e-05, 'epoch': 3.42} -{'loss': 0.4614, 'grad_norm': 3.290262222290039, 'learning_rate': 6.586330935251798e-05, 'epoch': 3.43} -{'loss': 0.463, 'grad_norm': 5.508434772491455, 'learning_rate': 6.584532374100719e-05, 'epoch': 3.43} -{'loss': 0.4687, 'grad_norm': 2.6426146030426025, 'learning_rate': 6.582733812949641e-05, 'epoch': 3.43} - 34%|████████████████████████████████▍ | 1920/5570 [30:42<49:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4604337513446808, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.209, 'eval_steps_per_second': 3.91, 'epoch': 3.43} -{'loss': 0.4654, 'grad_norm': 3.5269572734832764, 'learning_rate': 6.58093525179856e-05, 'epoch': 3.43} -{'loss': 0.4602, 'grad_norm': 4.416431427001953, 'learning_rate': 6.579136690647483e-05, 'epoch': 3.43} -{'loss': 0.4528, 'grad_norm': 2.341372489929199, 'learning_rate': 6.577338129496404e-05, 'epoch': 3.43} -{'loss': 0.4656, 'grad_norm': 1.247770071029663, 'learning_rate': 6.575539568345323e-05, 'epoch': 3.44} -{'loss': 0.4559, 'grad_norm': 3.320268154144287, 'learning_rate': 6.573741007194245e-05, 'epoch': 3.44} -{'loss': 0.4551, 'grad_norm': 2.9826810359954834, 'learning_rate': 6.571942446043166e-05, 'epoch': 3.44} -{'loss': 0.4617, 'grad_norm': 1.3698759078979492, 'learning_rate': 6.570143884892087e-05, 'epoch': 3.44} -{'loss': 0.4611, 'grad_norm': 1.9939073324203491, 'learning_rate': 6.568345323741007e-05, 'epoch': 3.44} -{'loss': 0.4506, 'grad_norm': 1.2020964622497559, 'learning_rate': 6.566546762589928e-05, 'epoch': 3.45} -{'loss': 0.4601, 'grad_norm': 0.7039997577667236, 'learning_rate': 6.564748201438849e-05, 'epoch': 3.45} - 35%|████████████████████████████████▌ | 1930/5570 [30:52<49:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45528092980384827, 'eval_runtime': 1.527, 'eval_samples_per_second': 471.514, 'eval_steps_per_second': 3.929, 'epoch': 3.45} -{'loss': 0.4548, 'grad_norm': 1.3400261402130127, 'learning_rate': 6.56294964028777e-05, 'epoch': 3.45} -{'loss': 0.4671, 'grad_norm': 1.5555200576782227, 'learning_rate': 6.561151079136692e-05, 'epoch': 3.45} -{'loss': 0.4539, 'grad_norm': 0.6760237812995911, 'learning_rate': 6.559352517985611e-05, 'epoch': 3.45} -{'loss': 0.464, 'grad_norm': 2.1951372623443604, 'learning_rate': 6.557553956834532e-05, 'epoch': 3.45} -{'loss': 0.4537, 'grad_norm': 1.489214301109314, 'learning_rate': 6.555755395683454e-05, 'epoch': 3.46} -{'loss': 0.4684, 'grad_norm': 2.544538974761963, 'learning_rate': 6.553956834532375e-05, 'epoch': 3.46} -{'loss': 0.4607, 'grad_norm': 1.6865999698638916, 'learning_rate': 6.552158273381294e-05, 'epoch': 3.46} -{'loss': 0.4611, 'grad_norm': 2.642794370651245, 'learning_rate': 6.550359712230216e-05, 'epoch': 3.46} -{'loss': 0.4608, 'grad_norm': 2.300450563430786, 'learning_rate': 6.548561151079137e-05, 'epoch': 3.46} -{'loss': 0.4712, 'grad_norm': 1.4376130104064941, 'learning_rate': 6.546762589928058e-05, 'epoch': 3.46} - 35%|████████████████████████████████▋ | 1940/5570 [31:02<49:40, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45730292797088623, 'eval_runtime': 1.5626, 'eval_samples_per_second': 460.757, 'eval_steps_per_second': 3.84, 'epoch': 3.46} -{'loss': 0.4701, 'grad_norm': 2.5751264095306396, 'learning_rate': 6.544964028776979e-05, 'epoch': 3.47} -{'loss': 0.4716, 'grad_norm': 1.1619755029678345, 'learning_rate': 6.5431654676259e-05, 'epoch': 3.47} -{'loss': 0.4618, 'grad_norm': 3.40895414352417, 'learning_rate': 6.54136690647482e-05, 'epoch': 3.47} -{'loss': 0.4727, 'grad_norm': 1.2527714967727661, 'learning_rate': 6.539568345323741e-05, 'epoch': 3.47} -{'loss': 0.4712, 'grad_norm': 3.918708324432373, 'learning_rate': 6.537769784172663e-05, 'epoch': 3.47} -{'loss': 0.4692, 'grad_norm': 3.490755319595337, 'learning_rate': 6.535971223021583e-05, 'epoch': 3.48} -{'loss': 0.4659, 'grad_norm': 3.7797939777374268, 'learning_rate': 6.534172661870503e-05, 'epoch': 3.48} -{'loss': 0.4586, 'grad_norm': 1.9189668893814087, 'learning_rate': 6.532374100719426e-05, 'epoch': 3.48} -{'loss': 0.4539, 'grad_norm': 1.739635705947876, 'learning_rate': 6.530575539568345e-05, 'epoch': 3.48} -{'loss': 0.4623, 'grad_norm': 1.4866541624069214, 'learning_rate': 6.528776978417267e-05, 'epoch': 3.48} - 35%|████████████████████████████████▉ | 1950/5570 [31:11<49:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4605492353439331, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.661, 'eval_steps_per_second': 3.906, 'epoch': 3.48} -{'loss': 0.4604, 'grad_norm': 2.6251590251922607, 'learning_rate': 6.526978417266188e-05, 'epoch': 3.48} -{'loss': 0.4669, 'grad_norm': 4.415483474731445, 'learning_rate': 6.525179856115107e-05, 'epoch': 3.49} -{'loss': 0.4721, 'grad_norm': 3.0384769439697266, 'learning_rate': 6.52338129496403e-05, 'epoch': 3.49} -{'loss': 0.4631, 'grad_norm': 3.666896104812622, 'learning_rate': 6.52158273381295e-05, 'epoch': 3.49} -{'loss': 0.4618, 'grad_norm': 3.995929479598999, 'learning_rate': 6.519784172661871e-05, 'epoch': 3.49} -{'loss': 0.459, 'grad_norm': 2.130622625350952, 'learning_rate': 6.517985611510792e-05, 'epoch': 3.49} -{'loss': 0.4588, 'grad_norm': 3.2776379585266113, 'learning_rate': 6.516187050359712e-05, 'epoch': 3.5} -{'loss': 0.4747, 'grad_norm': 3.6719088554382324, 'learning_rate': 6.514388489208633e-05, 'epoch': 3.5} -{'loss': 0.4686, 'grad_norm': 2.167942762374878, 'learning_rate': 6.512589928057554e-05, 'epoch': 3.5} -{'loss': 0.4719, 'grad_norm': 3.0258734226226807, 'learning_rate': 6.510791366906475e-05, 'epoch': 3.5} - 35%|█████████████████████████████████ | 1960/5570 [31:21<49:06, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46456179022789, 'eval_runtime': 1.5315, 'eval_samples_per_second': 470.126, 'eval_steps_per_second': 3.918, 'epoch': 3.5} -{'loss': 0.4732, 'grad_norm': 5.3294596672058105, 'learning_rate': 6.508992805755396e-05, 'epoch': 3.5} -{'loss': 0.4638, 'grad_norm': 3.835209369659424, 'learning_rate': 6.507194244604316e-05, 'epoch': 3.5} -{'loss': 0.4685, 'grad_norm': 1.5615757703781128, 'learning_rate': 6.505395683453238e-05, 'epoch': 3.51} -{'loss': 0.4555, 'grad_norm': 1.4672707319259644, 'learning_rate': 6.503597122302158e-05, 'epoch': 3.51} -{'loss': 0.4588, 'grad_norm': 2.187851905822754, 'learning_rate': 6.501798561151079e-05, 'epoch': 3.51} -{'loss': 0.4645, 'grad_norm': 1.0028209686279297, 'learning_rate': 6.500000000000001e-05, 'epoch': 3.51} -{'loss': 0.454, 'grad_norm': 2.5667457580566406, 'learning_rate': 6.498201438848922e-05, 'epoch': 3.51} -{'loss': 0.4624, 'grad_norm': 2.6500749588012695, 'learning_rate': 6.496402877697842e-05, 'epoch': 3.52} -{'loss': 0.4687, 'grad_norm': 1.409053087234497, 'learning_rate': 6.494604316546763e-05, 'epoch': 3.52} -{'loss': 0.4733, 'grad_norm': 2.178992509841919, 'learning_rate': 6.492805755395684e-05, 'epoch': 3.52} - 35%|█████████████████████████████████▏ | 1970/5570 [31:30<48:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4631498456001282, 'eval_runtime': 1.5302, 'eval_samples_per_second': 470.526, 'eval_steps_per_second': 3.921, 'epoch': 3.52} -{'loss': 0.458, 'grad_norm': 3.323113441467285, 'learning_rate': 6.491007194244605e-05, 'epoch': 3.52} -{'loss': 0.4707, 'grad_norm': 2.7721245288848877, 'learning_rate': 6.489208633093525e-05, 'epoch': 3.52} -{'loss': 0.4623, 'grad_norm': 2.565749168395996, 'learning_rate': 6.487410071942448e-05, 'epoch': 3.52} -{'loss': 0.4641, 'grad_norm': 2.5679359436035156, 'learning_rate': 6.485611510791367e-05, 'epoch': 3.53} -{'loss': 0.4566, 'grad_norm': 2.5285637378692627, 'learning_rate': 6.483812949640288e-05, 'epoch': 3.53} -{'loss': 0.4695, 'grad_norm': 1.4835691452026367, 'learning_rate': 6.48201438848921e-05, 'epoch': 3.53} -{'loss': 0.4556, 'grad_norm': 1.8771306276321411, 'learning_rate': 6.480215827338129e-05, 'epoch': 3.53} -{'loss': 0.466, 'grad_norm': 1.6109448671340942, 'learning_rate': 6.47841726618705e-05, 'epoch': 3.53} -{'loss': 0.448, 'grad_norm': 2.2647128105163574, 'learning_rate': 6.476618705035972e-05, 'epoch': 3.54} -{'loss': 0.4558, 'grad_norm': 2.5415637493133545, 'learning_rate': 6.474820143884892e-05, 'epoch': 3.54} - 36%|█████████████████████████████████▍ | 1980/5570 [31:40<49:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45764198899269104, 'eval_runtime': 1.5628, 'eval_samples_per_second': 460.717, 'eval_steps_per_second': 3.839, 'epoch': 3.54} -{'loss': 0.4604, 'grad_norm': 1.2944797277450562, 'learning_rate': 6.473021582733814e-05, 'epoch': 3.54} -{'loss': 0.4624, 'grad_norm': 1.9865330457687378, 'learning_rate': 6.471223021582734e-05, 'epoch': 3.54} -{'loss': 0.4664, 'grad_norm': 2.1023035049438477, 'learning_rate': 6.469424460431654e-05, 'epoch': 3.54} -{'loss': 0.4657, 'grad_norm': 1.9510760307312012, 'learning_rate': 6.467625899280576e-05, 'epoch': 3.54} -{'loss': 0.4677, 'grad_norm': 1.77580726146698, 'learning_rate': 6.465827338129497e-05, 'epoch': 3.55} -{'loss': 0.4547, 'grad_norm': 1.0280565023422241, 'learning_rate': 6.464028776978418e-05, 'epoch': 3.55} -{'loss': 0.4587, 'grad_norm': 0.8738710284233093, 'learning_rate': 6.462230215827338e-05, 'epoch': 3.55} -{'loss': 0.4632, 'grad_norm': 1.364084005355835, 'learning_rate': 6.460431654676259e-05, 'epoch': 3.55} -{'loss': 0.4598, 'grad_norm': 2.371830701828003, 'learning_rate': 6.45863309352518e-05, 'epoch': 3.55} -{'loss': 0.4608, 'grad_norm': 1.7723970413208008, 'learning_rate': 6.4568345323741e-05, 'epoch': 3.55} - 36%|█████████████████████████████████▌ | 1990/5570 [31:50<49:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4582276940345764, 'eval_runtime': 1.5358, 'eval_samples_per_second': 468.819, 'eval_steps_per_second': 3.907, 'epoch': 3.55} -{'loss': 0.4579, 'grad_norm': 1.2193820476531982, 'learning_rate': 6.455035971223023e-05, 'epoch': 3.56} -{'loss': 0.4559, 'grad_norm': 1.8449517488479614, 'learning_rate': 6.453237410071942e-05, 'epoch': 3.56} -{'loss': 0.4652, 'grad_norm': 2.2689003944396973, 'learning_rate': 6.451438848920863e-05, 'epoch': 3.56} -{'loss': 0.4581, 'grad_norm': 3.46349835395813, 'learning_rate': 6.449640287769785e-05, 'epoch': 3.56} -{'loss': 0.4769, 'grad_norm': 2.4694559574127197, 'learning_rate': 6.447841726618706e-05, 'epoch': 3.56} -{'loss': 0.4612, 'grad_norm': 3.683046340942383, 'learning_rate': 6.446043165467625e-05, 'epoch': 3.57} -{'loss': 0.4652, 'grad_norm': 3.40681791305542, 'learning_rate': 6.444244604316547e-05, 'epoch': 3.57} -{'loss': 0.4719, 'grad_norm': 1.8885929584503174, 'learning_rate': 6.442446043165468e-05, 'epoch': 3.57} -{'loss': 0.4742, 'grad_norm': 2.5362119674682617, 'learning_rate': 6.440647482014389e-05, 'epoch': 3.57} -{'loss': 0.4654, 'grad_norm': 1.1498128175735474, 'learning_rate': 6.43884892086331e-05, 'epoch': 3.57} - 36%|█████████████████████████████████▊ | 2000/5570 [31:59<48:42, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4584956765174866, 'eval_runtime': 1.5283, 'eval_samples_per_second': 471.106, 'eval_steps_per_second': 3.926, 'epoch': 3.57} -{'loss': 0.4592, 'grad_norm': 4.497174263000488, 'learning_rate': 6.43705035971223e-05, 'epoch': 3.57} -{'loss': 0.4631, 'grad_norm': 3.4823410511016846, 'learning_rate': 6.435251798561151e-05, 'epoch': 3.58} -{'loss': 0.4617, 'grad_norm': 0.8914397954940796, 'learning_rate': 6.433453237410072e-05, 'epoch': 3.58} -{'loss': 0.4615, 'grad_norm': 3.8586602210998535, 'learning_rate': 6.431654676258994e-05, 'epoch': 3.58} -{'loss': 0.4597, 'grad_norm': 3.2519261837005615, 'learning_rate': 6.429856115107914e-05, 'epoch': 3.58} -{'loss': 0.4587, 'grad_norm': 1.4392237663269043, 'learning_rate': 6.428057553956834e-05, 'epoch': 3.58} -{'loss': 0.4731, 'grad_norm': 3.4383533000946045, 'learning_rate': 6.426258992805756e-05, 'epoch': 3.59} -{'loss': 0.471, 'grad_norm': 1.780861496925354, 'learning_rate': 6.424460431654676e-05, 'epoch': 3.59} -{'loss': 0.4749, 'grad_norm': 2.431546211242676, 'learning_rate': 6.422661870503598e-05, 'epoch': 3.59} -{'loss': 0.4713, 'grad_norm': 1.3499261140823364, 'learning_rate': 6.420863309352519e-05, 'epoch': 3.59} - 36%|█████████████████████████████████▉ | 2010/5570 [32:09<48:15, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4589611887931824, 'eval_runtime': 1.5327, 'eval_samples_per_second': 469.759, 'eval_steps_per_second': 3.915, 'epoch': 3.59} -{'loss': 0.4589, 'grad_norm': 2.706888437271118, 'learning_rate': 6.419064748201438e-05, 'epoch': 3.59} -{'loss': 0.4539, 'grad_norm': 2.674499750137329, 'learning_rate': 6.41726618705036e-05, 'epoch': 3.59} -{'loss': 0.4701, 'grad_norm': 2.9517133235931396, 'learning_rate': 6.415467625899281e-05, 'epoch': 3.6} -{'loss': 0.4552, 'grad_norm': 3.036179542541504, 'learning_rate': 6.413669064748202e-05, 'epoch': 3.6} -{'loss': 0.4587, 'grad_norm': 1.2052052021026611, 'learning_rate': 6.411870503597123e-05, 'epoch': 3.6} -{'loss': 0.4669, 'grad_norm': 5.9423604011535645, 'learning_rate': 6.410071942446043e-05, 'epoch': 3.6} -{'loss': 0.4689, 'grad_norm': 6.351123809814453, 'learning_rate': 6.408273381294964e-05, 'epoch': 3.6} -{'loss': 0.4769, 'grad_norm': 4.476674556732178, 'learning_rate': 6.406474820143885e-05, 'epoch': 3.61} -{'loss': 0.4548, 'grad_norm': 2.873781442642212, 'learning_rate': 6.404676258992806e-05, 'epoch': 3.61} -{'loss': 0.467, 'grad_norm': 3.6572306156158447, 'learning_rate': 6.402877697841726e-05, 'epoch': 3.61} - 36%|██████████████████████████████████ | 2020/5570 [32:18<48:36, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46135762333869934, 'eval_runtime': 1.5413, 'eval_samples_per_second': 467.145, 'eval_steps_per_second': 3.893, 'epoch': 3.61} -{'loss': 0.4671, 'grad_norm': 3.262791872024536, 'learning_rate': 6.401079136690647e-05, 'epoch': 3.61} -{'loss': 0.4593, 'grad_norm': 1.9503711462020874, 'learning_rate': 6.39928057553957e-05, 'epoch': 3.61} -{'loss': 0.4667, 'grad_norm': 3.9573817253112793, 'learning_rate': 6.39748201438849e-05, 'epoch': 3.61} -{'loss': 0.4641, 'grad_norm': 3.993873119354248, 'learning_rate': 6.39568345323741e-05, 'epoch': 3.62} -{'loss': 0.4704, 'grad_norm': 2.677312135696411, 'learning_rate': 6.393884892086332e-05, 'epoch': 3.62} -{'loss': 0.4514, 'grad_norm': 3.227970600128174, 'learning_rate': 6.392086330935252e-05, 'epoch': 3.62} -{'loss': 0.4549, 'grad_norm': 2.603712320327759, 'learning_rate': 6.390287769784173e-05, 'epoch': 3.62} -{'loss': 0.4577, 'grad_norm': 1.8085448741912842, 'learning_rate': 6.388489208633094e-05, 'epoch': 3.62} -{'loss': 0.4521, 'grad_norm': 2.076580286026001, 'learning_rate': 6.386690647482015e-05, 'epoch': 3.62} -{'loss': 0.4661, 'grad_norm': 5.0349225997924805, 'learning_rate': 6.384892086330936e-05, 'epoch': 3.63} - 36%|██████████████████████████████████▎ | 2030/5570 [32:28<47:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45927029848098755, 'eval_runtime': 1.5316, 'eval_samples_per_second': 470.091, 'eval_steps_per_second': 3.917, 'epoch': 3.63} -{'loss': 0.4644, 'grad_norm': 3.4647505283355713, 'learning_rate': 6.383093525179856e-05, 'epoch': 3.63} -{'loss': 0.4636, 'grad_norm': 1.5543686151504517, 'learning_rate': 6.381294964028778e-05, 'epoch': 3.63} -{'loss': 0.4636, 'grad_norm': 1.0818363428115845, 'learning_rate': 6.379496402877698e-05, 'epoch': 3.63} -{'loss': 0.4558, 'grad_norm': 1.0709728002548218, 'learning_rate': 6.377697841726619e-05, 'epoch': 3.63} -{'loss': 0.4587, 'grad_norm': 2.0742220878601074, 'learning_rate': 6.375899280575541e-05, 'epoch': 3.64} -{'loss': 0.4564, 'grad_norm': 1.3541648387908936, 'learning_rate': 6.37410071942446e-05, 'epoch': 3.64} -{'loss': 0.461, 'grad_norm': 3.015943765640259, 'learning_rate': 6.372302158273381e-05, 'epoch': 3.64} -{'loss': 0.4604, 'grad_norm': 2.3070688247680664, 'learning_rate': 6.370503597122303e-05, 'epoch': 3.64} -{'loss': 0.4744, 'grad_norm': 1.9952753782272339, 'learning_rate': 6.368705035971222e-05, 'epoch': 3.64} -{'loss': 0.4596, 'grad_norm': 1.758016586303711, 'learning_rate': 6.366906474820145e-05, 'epoch': 3.64} - 37%|██████████████████████████████████▍ | 2040/5570 [32:37<48:02, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4604053795337677, 'eval_runtime': 1.5391, 'eval_samples_per_second': 467.8, 'eval_steps_per_second': 3.898, 'epoch': 3.64} -{'loss': 0.4629, 'grad_norm': 2.1314029693603516, 'learning_rate': 6.365107913669065e-05, 'epoch': 3.65} -{'loss': 0.4631, 'grad_norm': 2.4060375690460205, 'learning_rate': 6.363309352517985e-05, 'epoch': 3.65} -{'loss': 0.4493, 'grad_norm': 1.3254402875900269, 'learning_rate': 6.361510791366907e-05, 'epoch': 3.65} -{'loss': 0.4552, 'grad_norm': 1.0010074377059937, 'learning_rate': 6.359712230215828e-05, 'epoch': 3.65} -{'loss': 0.4587, 'grad_norm': 1.699948787689209, 'learning_rate': 6.357913669064748e-05, 'epoch': 3.65} -{'loss': 0.4555, 'grad_norm': 2.799677610397339, 'learning_rate': 6.356115107913669e-05, 'epoch': 3.66} -{'loss': 0.451, 'grad_norm': 0.779921293258667, 'learning_rate': 6.35431654676259e-05, 'epoch': 3.66} -{'loss': 0.4453, 'grad_norm': 2.721921443939209, 'learning_rate': 6.352517985611511e-05, 'epoch': 3.66} -{'loss': 0.453, 'grad_norm': 1.7431442737579346, 'learning_rate': 6.350719424460432e-05, 'epoch': 3.66} -{'loss': 0.4613, 'grad_norm': 2.3596348762512207, 'learning_rate': 6.348920863309354e-05, 'epoch': 3.66} - 37%|██████████████████████████████████▌ | 2050/5570 [32:47<48:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45900624990463257, 'eval_runtime': 1.5444, 'eval_samples_per_second': 466.215, 'eval_steps_per_second': 3.885, 'epoch': 3.66} -{'loss': 0.4574, 'grad_norm': 3.379676580429077, 'learning_rate': 6.347122302158273e-05, 'epoch': 3.66} -{'loss': 0.4647, 'grad_norm': 2.0047359466552734, 'learning_rate': 6.345323741007194e-05, 'epoch': 3.67} -{'loss': 0.4714, 'grad_norm': 1.9505236148834229, 'learning_rate': 6.343525179856116e-05, 'epoch': 3.67} -{'loss': 0.452, 'grad_norm': 2.868410348892212, 'learning_rate': 6.341726618705037e-05, 'epoch': 3.67} -{'loss': 0.4518, 'grad_norm': 2.035639762878418, 'learning_rate': 6.339928057553958e-05, 'epoch': 3.67} -{'loss': 0.4644, 'grad_norm': 2.880833625793457, 'learning_rate': 6.338129496402878e-05, 'epoch': 3.67} -{'loss': 0.4615, 'grad_norm': 3.30580472946167, 'learning_rate': 6.336330935251799e-05, 'epoch': 3.68} -{'loss': 0.4616, 'grad_norm': 1.8061751127243042, 'learning_rate': 6.33453237410072e-05, 'epoch': 3.68} -{'loss': 0.4518, 'grad_norm': 2.2885303497314453, 'learning_rate': 6.33273381294964e-05, 'epoch': 3.68} -{'loss': 0.474, 'grad_norm': 2.738466262817383, 'learning_rate': 6.330935251798561e-05, 'epoch': 3.68} - 37%|██████████████████████████████████▊ | 2060/5570 [32:57<47:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4576333463191986, 'eval_runtime': 1.5316, 'eval_samples_per_second': 470.083, 'eval_steps_per_second': 3.917, 'epoch': 3.68} -{'loss': 0.4646, 'grad_norm': 2.8284690380096436, 'learning_rate': 6.329136690647482e-05, 'epoch': 3.68} -{'loss': 0.4513, 'grad_norm': 4.508213520050049, 'learning_rate': 6.327338129496403e-05, 'epoch': 3.68} -{'loss': 0.4599, 'grad_norm': 2.2768423557281494, 'learning_rate': 6.325539568345325e-05, 'epoch': 3.69} -{'loss': 0.4548, 'grad_norm': 3.404263496398926, 'learning_rate': 6.323741007194244e-05, 'epoch': 3.69} -{'loss': 0.4754, 'grad_norm': 1.8641390800476074, 'learning_rate': 6.321942446043165e-05, 'epoch': 3.69} -{'loss': 0.4545, 'grad_norm': 3.3009533882141113, 'learning_rate': 6.320143884892087e-05, 'epoch': 3.69} -{'loss': 0.4685, 'grad_norm': 5.028606414794922, 'learning_rate': 6.318345323741007e-05, 'epoch': 3.69} -{'loss': 0.4556, 'grad_norm': 3.781857967376709, 'learning_rate': 6.316546762589929e-05, 'epoch': 3.69} -{'loss': 0.4579, 'grad_norm': 1.7830592393875122, 'learning_rate': 6.31474820143885e-05, 'epoch': 3.7} -{'loss': 0.4543, 'grad_norm': 3.621732234954834, 'learning_rate': 6.312949640287769e-05, 'epoch': 3.7} - 37%|██████████████████████████████████▉ | 2070/5570 [33:06<47:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46548163890838623, 'eval_runtime': 1.5562, 'eval_samples_per_second': 462.655, 'eval_steps_per_second': 3.855, 'epoch': 3.7} -{'loss': 0.4676, 'grad_norm': 7.049353122711182, 'learning_rate': 6.311151079136691e-05, 'epoch': 3.7} -{'loss': 0.4654, 'grad_norm': 4.530601501464844, 'learning_rate': 6.309352517985612e-05, 'epoch': 3.7} -{'loss': 0.4562, 'grad_norm': 2.506542682647705, 'learning_rate': 6.307553956834533e-05, 'epoch': 3.7} -{'loss': 0.4612, 'grad_norm': 1.6914265155792236, 'learning_rate': 6.305755395683454e-05, 'epoch': 3.71} -{'loss': 0.4692, 'grad_norm': 2.8850090503692627, 'learning_rate': 6.303956834532374e-05, 'epoch': 3.71} -{'loss': 0.4684, 'grad_norm': 2.355717897415161, 'learning_rate': 6.302158273381295e-05, 'epoch': 3.71} -{'loss': 0.4575, 'grad_norm': 1.3471310138702393, 'learning_rate': 6.300359712230216e-05, 'epoch': 3.71} -{'loss': 0.4647, 'grad_norm': 3.547699213027954, 'learning_rate': 6.298561151079137e-05, 'epoch': 3.71} -{'loss': 0.4624, 'grad_norm': 3.5149590969085693, 'learning_rate': 6.296762589928057e-05, 'epoch': 3.71} -{'loss': 0.4655, 'grad_norm': 3.1650850772857666, 'learning_rate': 6.294964028776978e-05, 'epoch': 3.72} - 37%|███████████████████████████████████ | 2080/5570 [33:16<47:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45616352558135986, 'eval_runtime': 1.5351, 'eval_samples_per_second': 469.034, 'eval_steps_per_second': 3.909, 'epoch': 3.72} -{'loss': 0.4549, 'grad_norm': 2.2479946613311768, 'learning_rate': 6.2931654676259e-05, 'epoch': 3.72} -{'loss': 0.452, 'grad_norm': 2.2471890449523926, 'learning_rate': 6.291366906474821e-05, 'epoch': 3.72} -{'loss': 0.4689, 'grad_norm': 2.363123655319214, 'learning_rate': 6.28956834532374e-05, 'epoch': 3.72} -{'loss': 0.4614, 'grad_norm': 3.0363986492156982, 'learning_rate': 6.287769784172663e-05, 'epoch': 3.72} -{'loss': 0.4613, 'grad_norm': 1.9869216680526733, 'learning_rate': 6.285971223021583e-05, 'epoch': 3.73} -{'loss': 0.4482, 'grad_norm': 1.9699326753616333, 'learning_rate': 6.284172661870504e-05, 'epoch': 3.73} -{'loss': 0.4648, 'grad_norm': 2.3873491287231445, 'learning_rate': 6.282374100719425e-05, 'epoch': 3.73} -{'loss': 0.459, 'grad_norm': 1.7970424890518188, 'learning_rate': 6.280575539568346e-05, 'epoch': 3.73} -{'loss': 0.4622, 'grad_norm': 3.1223630905151367, 'learning_rate': 6.278776978417266e-05, 'epoch': 3.73} -{'loss': 0.4545, 'grad_norm': 1.8195070028305054, 'learning_rate': 6.276978417266187e-05, 'epoch': 3.73} - 38%|███████████████████████████████████▎ | 2090/5570 [33:25<47:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45568686723709106, 'eval_runtime': 1.5629, 'eval_samples_per_second': 460.692, 'eval_steps_per_second': 3.839, 'epoch': 3.73} -{'loss': 0.4627, 'grad_norm': 2.261885404586792, 'learning_rate': 6.27517985611511e-05, 'epoch': 3.74} -{'loss': 0.4615, 'grad_norm': 2.1232187747955322, 'learning_rate': 6.273381294964029e-05, 'epoch': 3.74} -{'loss': 0.4668, 'grad_norm': 3.9616477489471436, 'learning_rate': 6.27158273381295e-05, 'epoch': 3.74} -{'loss': 0.4637, 'grad_norm': 4.353580474853516, 'learning_rate': 6.269784172661872e-05, 'epoch': 3.74} -{'loss': 0.471, 'grad_norm': 1.4370143413543701, 'learning_rate': 6.267985611510791e-05, 'epoch': 3.74} -{'loss': 0.4614, 'grad_norm': 2.451674461364746, 'learning_rate': 6.266187050359712e-05, 'epoch': 3.75} -{'loss': 0.4531, 'grad_norm': 2.3101444244384766, 'learning_rate': 6.264388489208634e-05, 'epoch': 3.75} -{'loss': 0.4579, 'grad_norm': 2.360093355178833, 'learning_rate': 6.262589928057553e-05, 'epoch': 3.75} -{'loss': 0.4545, 'grad_norm': 1.817461371421814, 'learning_rate': 6.260791366906476e-05, 'epoch': 3.75} -{'loss': 0.4638, 'grad_norm': 1.7537562847137451, 'learning_rate': 6.258992805755396e-05, 'epoch': 3.75} - 38%|███████████████████████████████████▍ | 2100/5570 [33:35<47:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45504558086395264, 'eval_runtime': 1.5302, 'eval_samples_per_second': 470.538, 'eval_steps_per_second': 3.921, 'epoch': 3.75} -{'loss': 0.4614, 'grad_norm': 1.4856187105178833, 'learning_rate': 6.257194244604316e-05, 'epoch': 3.75} -{'loss': 0.4629, 'grad_norm': 1.339115858078003, 'learning_rate': 6.255395683453238e-05, 'epoch': 3.76} -{'loss': 0.4557, 'grad_norm': 1.0955383777618408, 'learning_rate': 6.253597122302159e-05, 'epoch': 3.76} -{'loss': 0.4542, 'grad_norm': 3.46053147315979, 'learning_rate': 6.25179856115108e-05, 'epoch': 3.76} -{'loss': 0.4607, 'grad_norm': 2.5667409896850586, 'learning_rate': 6.25e-05, 'epoch': 3.76} -{'loss': 0.4636, 'grad_norm': 2.736135959625244, 'learning_rate': 6.248201438848921e-05, 'epoch': 3.76} -{'loss': 0.4691, 'grad_norm': 1.9693715572357178, 'learning_rate': 6.246402877697842e-05, 'epoch': 3.76} -{'loss': 0.4726, 'grad_norm': 3.459202289581299, 'learning_rate': 6.244604316546762e-05, 'epoch': 3.77} -{'loss': 0.4565, 'grad_norm': 1.8966244459152222, 'learning_rate': 6.242805755395685e-05, 'epoch': 3.77} -{'loss': 0.4564, 'grad_norm': 1.4289324283599854, 'learning_rate': 6.241007194244605e-05, 'epoch': 3.77} - 38%|███████████████████████████████████▌ | 2110/5570 [33:45<47:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4569094479084015, 'eval_runtime': 1.5441, 'eval_samples_per_second': 466.289, 'eval_steps_per_second': 3.886, 'epoch': 3.77} -{'loss': 0.4494, 'grad_norm': 2.644620656967163, 'learning_rate': 6.239208633093525e-05, 'epoch': 3.77} -{'loss': 0.4593, 'grad_norm': 0.759784996509552, 'learning_rate': 6.237410071942447e-05, 'epoch': 3.77} -{'loss': 0.4611, 'grad_norm': 1.3355571031570435, 'learning_rate': 6.235611510791368e-05, 'epoch': 3.78} -{'loss': 0.4593, 'grad_norm': 0.7917786240577698, 'learning_rate': 6.233812949640288e-05, 'epoch': 3.78} -{'loss': 0.4532, 'grad_norm': 2.327446460723877, 'learning_rate': 6.232014388489209e-05, 'epoch': 3.78} -{'loss': 0.4657, 'grad_norm': 1.1395564079284668, 'learning_rate': 6.23021582733813e-05, 'epoch': 3.78} -{'loss': 0.4492, 'grad_norm': 2.2922794818878174, 'learning_rate': 6.228417266187051e-05, 'epoch': 3.78} -{'loss': 0.4658, 'grad_norm': 1.9048901796340942, 'learning_rate': 6.226618705035972e-05, 'epoch': 3.78} -{'loss': 0.4617, 'grad_norm': 5.007754325866699, 'learning_rate': 6.224820143884892e-05, 'epoch': 3.79} -{'loss': 0.4533, 'grad_norm': 4.181021213531494, 'learning_rate': 6.223021582733813e-05, 'epoch': 3.79} - 38%|███████████████████████████████████▊ | 2120/5570 [33:54<47:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45747196674346924, 'eval_runtime': 1.5292, 'eval_samples_per_second': 470.82, 'eval_steps_per_second': 3.923, 'epoch': 3.79} -{'loss': 0.448, 'grad_norm': 2.1123673915863037, 'learning_rate': 6.221223021582734e-05, 'epoch': 3.79} -{'loss': 0.4675, 'grad_norm': 2.752181053161621, 'learning_rate': 6.219424460431656e-05, 'epoch': 3.79} -{'loss': 0.4518, 'grad_norm': 3.5318610668182373, 'learning_rate': 6.217625899280575e-05, 'epoch': 3.79} -{'loss': 0.4604, 'grad_norm': 1.3391045331954956, 'learning_rate': 6.215827338129496e-05, 'epoch': 3.8} -{'loss': 0.4677, 'grad_norm': 4.664342403411865, 'learning_rate': 6.214028776978418e-05, 'epoch': 3.8} -{'loss': 0.4716, 'grad_norm': 7.86289644241333, 'learning_rate': 6.212230215827338e-05, 'epoch': 3.8} -{'loss': 0.463, 'grad_norm': 4.892410755157471, 'learning_rate': 6.21043165467626e-05, 'epoch': 3.8} -{'loss': 0.4528, 'grad_norm': 2.2314953804016113, 'learning_rate': 6.20863309352518e-05, 'epoch': 3.8} -{'loss': 0.4678, 'grad_norm': 1.680450677871704, 'learning_rate': 6.2068345323741e-05, 'epoch': 3.8} -{'loss': 0.4565, 'grad_norm': 3.069478750228882, 'learning_rate': 6.205035971223022e-05, 'epoch': 3.81} - 38%|███████████████████████████████████▉ | 2130/5570 [34:04<46:45, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4572632610797882, 'eval_runtime': 1.5316, 'eval_samples_per_second': 470.102, 'eval_steps_per_second': 3.918, 'epoch': 3.81} -{'loss': 0.4552, 'grad_norm': 1.7599375247955322, 'learning_rate': 6.203237410071943e-05, 'epoch': 3.81} -{'loss': 0.4554, 'grad_norm': 2.2052299976348877, 'learning_rate': 6.201438848920864e-05, 'epoch': 3.81} -{'loss': 0.4545, 'grad_norm': 1.3041796684265137, 'learning_rate': 6.199640287769784e-05, 'epoch': 3.81} -{'loss': 0.4535, 'grad_norm': 3.4025444984436035, 'learning_rate': 6.197841726618705e-05, 'epoch': 3.81} -{'loss': 0.479, 'grad_norm': 3.152297019958496, 'learning_rate': 6.196043165467626e-05, 'epoch': 3.82} -{'loss': 0.4528, 'grad_norm': 2.1994974613189697, 'learning_rate': 6.194244604316547e-05, 'epoch': 3.82} -{'loss': 0.4632, 'grad_norm': 2.8800063133239746, 'learning_rate': 6.192446043165468e-05, 'epoch': 3.82} -{'loss': 0.4636, 'grad_norm': 1.9156816005706787, 'learning_rate': 6.190647482014388e-05, 'epoch': 3.82} -{'loss': 0.4662, 'grad_norm': 4.81072473526001, 'learning_rate': 6.188848920863309e-05, 'epoch': 3.82} -{'loss': 0.4606, 'grad_norm': 4.478362560272217, 'learning_rate': 6.187050359712231e-05, 'epoch': 3.82} - 38%|████████████████████████████████████ | 2140/5570 [34:13<46:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4567262530326843, 'eval_runtime': 1.5383, 'eval_samples_per_second': 468.059, 'eval_steps_per_second': 3.9, 'epoch': 3.82} -{'loss': 0.4575, 'grad_norm': 1.8386149406433105, 'learning_rate': 6.185251798561152e-05, 'epoch': 3.83} -{'loss': 0.4509, 'grad_norm': 2.815938949584961, 'learning_rate': 6.183453237410071e-05, 'epoch': 3.83} -{'loss': 0.4513, 'grad_norm': 4.368523597717285, 'learning_rate': 6.181654676258993e-05, 'epoch': 3.83} -{'loss': 0.4654, 'grad_norm': 3.0186774730682373, 'learning_rate': 6.179856115107914e-05, 'epoch': 3.83} -{'loss': 0.4633, 'grad_norm': 3.4579176902770996, 'learning_rate': 6.178057553956835e-05, 'epoch': 3.83} -{'loss': 0.4655, 'grad_norm': 4.999380111694336, 'learning_rate': 6.176258992805756e-05, 'epoch': 3.83} -{'loss': 0.4595, 'grad_norm': 4.132755756378174, 'learning_rate': 6.174460431654677e-05, 'epoch': 3.84} -{'loss': 0.4474, 'grad_norm': 1.7490540742874146, 'learning_rate': 6.172661870503597e-05, 'epoch': 3.84} -{'loss': 0.4557, 'grad_norm': 3.841477155685425, 'learning_rate': 6.170863309352518e-05, 'epoch': 3.84} -{'loss': 0.4518, 'grad_norm': 2.959930419921875, 'learning_rate': 6.16906474820144e-05, 'epoch': 3.84} - 39%|████████████████████████████████████▎ | 2150/5570 [34:23<47:01, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4543253481388092, 'eval_runtime': 1.54, 'eval_samples_per_second': 467.541, 'eval_steps_per_second': 3.896, 'epoch': 3.84} -{'loss': 0.4649, 'grad_norm': 1.7422771453857422, 'learning_rate': 6.16726618705036e-05, 'epoch': 3.84} -{'loss': 0.4681, 'grad_norm': 3.0792794227600098, 'learning_rate': 6.16546762589928e-05, 'epoch': 3.85} -{'loss': 0.4505, 'grad_norm': 2.044570207595825, 'learning_rate': 6.163669064748203e-05, 'epoch': 3.85} -{'loss': 0.4641, 'grad_norm': 3.814446449279785, 'learning_rate': 6.161870503597122e-05, 'epoch': 3.85} -{'loss': 0.4578, 'grad_norm': 2.153737783432007, 'learning_rate': 6.160071942446043e-05, 'epoch': 3.85} -{'loss': 0.4481, 'grad_norm': 1.06807541847229, 'learning_rate': 6.158273381294965e-05, 'epoch': 3.85} -{'loss': 0.4599, 'grad_norm': 2.223881959915161, 'learning_rate': 6.156474820143884e-05, 'epoch': 3.85} -{'loss': 0.4634, 'grad_norm': 2.4214346408843994, 'learning_rate': 6.154676258992806e-05, 'epoch': 3.86} -{'loss': 0.4566, 'grad_norm': 1.0106712579727173, 'learning_rate': 6.152877697841727e-05, 'epoch': 3.86} -{'loss': 0.4551, 'grad_norm': 1.8335165977478027, 'learning_rate': 6.151079136690648e-05, 'epoch': 3.86} - 39%|████████████████████████████████████▍ | 2160/5570 [34:33<46:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4541054666042328, 'eval_runtime': 1.5388, 'eval_samples_per_second': 467.91, 'eval_steps_per_second': 3.899, 'epoch': 3.86} -{'loss': 0.4515, 'grad_norm': 1.3337255716323853, 'learning_rate': 6.149280575539569e-05, 'epoch': 3.86} -{'loss': 0.4735, 'grad_norm': 3.916642427444458, 'learning_rate': 6.14748201438849e-05, 'epoch': 3.86} -{'loss': 0.4546, 'grad_norm': 2.748075246810913, 'learning_rate': 6.14568345323741e-05, 'epoch': 3.87} -{'loss': 0.4606, 'grad_norm': 0.7564975023269653, 'learning_rate': 6.143884892086331e-05, 'epoch': 3.87} -{'loss': 0.4667, 'grad_norm': 4.096391677856445, 'learning_rate': 6.142086330935252e-05, 'epoch': 3.87} -{'loss': 0.4672, 'grad_norm': 4.150938034057617, 'learning_rate': 6.140287769784173e-05, 'epoch': 3.87} -{'loss': 0.4635, 'grad_norm': 2.302074432373047, 'learning_rate': 6.138489208633093e-05, 'epoch': 3.87} -{'loss': 0.464, 'grad_norm': 3.4686837196350098, 'learning_rate': 6.136690647482015e-05, 'epoch': 3.87} -{'loss': 0.4672, 'grad_norm': 5.05821418762207, 'learning_rate': 6.134892086330936e-05, 'epoch': 3.88} -{'loss': 0.4713, 'grad_norm': 3.151747465133667, 'learning_rate': 6.133093525179856e-05, 'epoch': 3.88} - 39%|████████████████████████████████████▌ | 2170/5570 [34:42<45:44, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4623967409133911, 'eval_runtime': 1.5454, 'eval_samples_per_second': 465.889, 'eval_steps_per_second': 3.882, 'epoch': 3.88} -{'loss': 0.4677, 'grad_norm': 2.994784355163574, 'learning_rate': 6.131294964028778e-05, 'epoch': 3.88} -{'loss': 0.462, 'grad_norm': 4.118234157562256, 'learning_rate': 6.129496402877699e-05, 'epoch': 3.88} -{'loss': 0.4621, 'grad_norm': 4.805005073547363, 'learning_rate': 6.12769784172662e-05, 'epoch': 3.88} -{'loss': 0.4613, 'grad_norm': 1.787724256515503, 'learning_rate': 6.12589928057554e-05, 'epoch': 3.89} -{'loss': 0.4571, 'grad_norm': 1.6935101747512817, 'learning_rate': 6.124100719424461e-05, 'epoch': 3.89} -{'loss': 0.462, 'grad_norm': 2.12261962890625, 'learning_rate': 6.122302158273382e-05, 'epoch': 3.89} -{'loss': 0.4547, 'grad_norm': 1.7066431045532227, 'learning_rate': 6.120503597122302e-05, 'epoch': 3.89} -{'loss': 0.4616, 'grad_norm': 2.4436631202697754, 'learning_rate': 6.118705035971223e-05, 'epoch': 3.89} -{'loss': 0.4595, 'grad_norm': 2.7769203186035156, 'learning_rate': 6.116906474820144e-05, 'epoch': 3.89} -{'loss': 0.4529, 'grad_norm': 2.058915615081787, 'learning_rate': 6.115107913669065e-05, 'epoch': 3.9} - 39%|████████████████████████████████████▊ | 2180/5570 [34:52<46:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45441025495529175, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.725, 'eval_steps_per_second': 3.914, 'epoch': 3.9} -{'loss': 0.4559, 'grad_norm': 2.2772696018218994, 'learning_rate': 6.113309352517987e-05, 'epoch': 3.9} -{'loss': 0.4591, 'grad_norm': 2.667123317718506, 'learning_rate': 6.111510791366906e-05, 'epoch': 3.9} -{'loss': 0.4669, 'grad_norm': 1.3894098997116089, 'learning_rate': 6.109712230215827e-05, 'epoch': 3.9} -{'loss': 0.4551, 'grad_norm': 2.1786720752716064, 'learning_rate': 6.107913669064749e-05, 'epoch': 3.9} -{'loss': 0.4687, 'grad_norm': 1.7961056232452393, 'learning_rate': 6.106115107913669e-05, 'epoch': 3.9} -{'loss': 0.4569, 'grad_norm': 2.5401835441589355, 'learning_rate': 6.104316546762591e-05, 'epoch': 3.91} -{'loss': 0.462, 'grad_norm': 2.041504383087158, 'learning_rate': 6.102517985611511e-05, 'epoch': 3.91} -{'loss': 0.4603, 'grad_norm': 2.65079665184021, 'learning_rate': 6.1007194244604316e-05, 'epoch': 3.91} -{'loss': 0.4593, 'grad_norm': 2.3092947006225586, 'learning_rate': 6.098920863309353e-05, 'epoch': 3.91} -{'loss': 0.4588, 'grad_norm': 2.202687978744507, 'learning_rate': 6.097122302158274e-05, 'epoch': 3.91} - 39%|████████████████████████████████████▉ | 2190/5570 [35:01<45:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45572906732559204, 'eval_runtime': 1.5431, 'eval_samples_per_second': 466.592, 'eval_steps_per_second': 3.888, 'epoch': 3.91} -{'loss': 0.4586, 'grad_norm': 2.9877119064331055, 'learning_rate': 6.095323741007195e-05, 'epoch': 3.92} -{'loss': 0.446, 'grad_norm': 1.404250979423523, 'learning_rate': 6.093525179856115e-05, 'epoch': 3.92} -{'loss': 0.4543, 'grad_norm': 2.486091375350952, 'learning_rate': 6.091726618705036e-05, 'epoch': 3.92} -{'loss': 0.4587, 'grad_norm': 1.6621426343917847, 'learning_rate': 6.0899280575539575e-05, 'epoch': 3.92} -{'loss': 0.4603, 'grad_norm': 1.4835402965545654, 'learning_rate': 6.0881294964028776e-05, 'epoch': 3.92} -{'loss': 0.453, 'grad_norm': 2.1832804679870605, 'learning_rate': 6.0863309352517984e-05, 'epoch': 3.92} -{'loss': 0.4583, 'grad_norm': 2.100553274154663, 'learning_rate': 6.08453237410072e-05, 'epoch': 3.93} -{'loss': 0.465, 'grad_norm': 2.9419662952423096, 'learning_rate': 6.08273381294964e-05, 'epoch': 3.93} -{'loss': 0.4553, 'grad_norm': 1.8691823482513428, 'learning_rate': 6.080935251798562e-05, 'epoch': 3.93} -{'loss': 0.4497, 'grad_norm': 2.763394594192505, 'learning_rate': 6.079136690647482e-05, 'epoch': 3.93} - 39%|█████████████████████████████████████▏ | 2200/5570 [35:11<45:44, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4573262631893158, 'eval_runtime': 1.5293, 'eval_samples_per_second': 470.797, 'eval_steps_per_second': 3.923, 'epoch': 3.93} -{'loss': 0.468, 'grad_norm': 3.0433783531188965, 'learning_rate': 6.077338129496403e-05, 'epoch': 3.93} -{'loss': 0.4617, 'grad_norm': 1.8750940561294556, 'learning_rate': 6.0755395683453244e-05, 'epoch': 3.94} -{'loss': 0.4738, 'grad_norm': 1.645186185836792, 'learning_rate': 6.0737410071942445e-05, 'epoch': 3.94} -{'loss': 0.4678, 'grad_norm': 4.6045613288879395, 'learning_rate': 6.071942446043166e-05, 'epoch': 3.94} -{'loss': 0.4726, 'grad_norm': 5.3079986572265625, 'learning_rate': 6.070143884892087e-05, 'epoch': 3.94} -{'loss': 0.4632, 'grad_norm': 5.962855339050293, 'learning_rate': 6.068345323741007e-05, 'epoch': 3.94} -{'loss': 0.4615, 'grad_norm': 3.5721328258514404, 'learning_rate': 6.066546762589929e-05, 'epoch': 3.94} -{'loss': 0.4523, 'grad_norm': 0.7075583338737488, 'learning_rate': 6.064748201438849e-05, 'epoch': 3.95} -{'loss': 0.4561, 'grad_norm': 3.426915407180786, 'learning_rate': 6.0629496402877705e-05, 'epoch': 3.95} -{'loss': 0.476, 'grad_norm': 4.950051307678223, 'learning_rate': 6.061151079136691e-05, 'epoch': 3.95} - 40%|█████████████████████████████████████▎ | 2210/5570 [35:20<45:52, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4590508043766022, 'eval_runtime': 1.521, 'eval_samples_per_second': 473.365, 'eval_steps_per_second': 3.945, 'epoch': 3.95} -{'loss': 0.4545, 'grad_norm': 3.2987141609191895, 'learning_rate': 6.059352517985611e-05, 'epoch': 3.95} -{'loss': 0.4661, 'grad_norm': 2.1584064960479736, 'learning_rate': 6.057553956834533e-05, 'epoch': 3.95} -{'loss': 0.4561, 'grad_norm': 2.527557611465454, 'learning_rate': 6.0557553956834535e-05, 'epoch': 3.96} -{'loss': 0.4836, 'grad_norm': 4.968850135803223, 'learning_rate': 6.053956834532375e-05, 'epoch': 3.96} -{'loss': 0.4594, 'grad_norm': 5.604877948760986, 'learning_rate': 6.052158273381295e-05, 'epoch': 3.96} -{'loss': 0.469, 'grad_norm': 2.7227253913879395, 'learning_rate': 6.050359712230216e-05, 'epoch': 3.96} -{'loss': 0.4526, 'grad_norm': 1.4570245742797852, 'learning_rate': 6.048561151079137e-05, 'epoch': 3.96} -{'loss': 0.4633, 'grad_norm': 1.4894341230392456, 'learning_rate': 6.046762589928058e-05, 'epoch': 3.96} -{'loss': 0.4629, 'grad_norm': 2.4210045337677, 'learning_rate': 6.044964028776978e-05, 'epoch': 3.97} -{'loss': 0.4641, 'grad_norm': 2.021712064743042, 'learning_rate': 6.0431654676258996e-05, 'epoch': 3.97} - 40%|█████████████████████████████████████▍ | 2220/5570 [35:30<45:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45347335934638977, 'eval_runtime': 1.561, 'eval_samples_per_second': 461.247, 'eval_steps_per_second': 3.844, 'epoch': 3.97} -{'loss': 0.4673, 'grad_norm': 1.1474659442901611, 'learning_rate': 6.0413669064748204e-05, 'epoch': 3.97} -{'loss': 0.4537, 'grad_norm': 2.6228384971618652, 'learning_rate': 6.039568345323742e-05, 'epoch': 3.97} -{'loss': 0.4635, 'grad_norm': 2.29927134513855, 'learning_rate': 6.037769784172662e-05, 'epoch': 3.97} -{'loss': 0.4678, 'grad_norm': 1.9003034830093384, 'learning_rate': 6.035971223021583e-05, 'epoch': 3.97} -{'loss': 0.4615, 'grad_norm': 1.2774900197982788, 'learning_rate': 6.034172661870504e-05, 'epoch': 3.98} -{'loss': 0.4623, 'grad_norm': 2.212509870529175, 'learning_rate': 6.032374100719424e-05, 'epoch': 3.98} -{'loss': 0.4652, 'grad_norm': 2.7544312477111816, 'learning_rate': 6.0305755395683464e-05, 'epoch': 3.98} -{'loss': 0.4568, 'grad_norm': 3.2850112915039062, 'learning_rate': 6.0287769784172665e-05, 'epoch': 3.98} -{'loss': 0.4671, 'grad_norm': 1.4142216444015503, 'learning_rate': 6.026978417266187e-05, 'epoch': 3.98} -{'loss': 0.4579, 'grad_norm': 1.901745080947876, 'learning_rate': 6.025179856115109e-05, 'epoch': 3.99} - 40%|█████████████████████████████████████▋ | 2230/5570 [35:39<40:53, 1.36it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4548678994178772, 'eval_runtime': 1.5323, 'eval_samples_per_second': 469.883, 'eval_steps_per_second': 3.916, 'epoch': 3.99} -{'loss': 0.4588, 'grad_norm': 2.7180919647216797, 'learning_rate': 6.023381294964029e-05, 'epoch': 3.99} -{'loss': 0.4567, 'grad_norm': 2.0174241065979004, 'learning_rate': 6.02158273381295e-05, 'epoch': 3.99} -{'loss': 0.4569, 'grad_norm': 0.9895267486572266, 'learning_rate': 6.019784172661871e-05, 'epoch': 3.99} -{'loss': 0.4597, 'grad_norm': 1.031822919845581, 'learning_rate': 6.017985611510791e-05, 'epoch': 3.99} -{'loss': 0.4513, 'grad_norm': 1.9275873899459839, 'learning_rate': 6.0161870503597125e-05, 'epoch': 3.99} -{'loss': 0.4569, 'grad_norm': 1.3649905920028687, 'learning_rate': 6.014388489208633e-05, 'epoch': 4.0} -{'loss': 0.4612, 'grad_norm': 2.3750133514404297, 'learning_rate': 6.0125899280575534e-05, 'epoch': 4.0} -{'loss': 0.4594, 'grad_norm': 3.6958980560302734, 'learning_rate': 6.0107913669064755e-05, 'epoch': 4.0} -{'loss': 0.4645, 'grad_norm': 1.6742050647735596, 'learning_rate': 6.0089928057553956e-05, 'epoch': 4.0} -{'loss': 0.4536, 'grad_norm': 3.8058383464813232, 'learning_rate': 6.007194244604317e-05, 'epoch': 4.0} - 40%|█████████████████████████████████████▊ | 2240/5570 [35:49<45:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45787501335144043, 'eval_runtime': 1.5545, 'eval_samples_per_second': 463.16, 'eval_steps_per_second': 3.86, 'epoch': 4.0} -{'loss': 0.4577, 'grad_norm': 1.5635130405426025, 'learning_rate': 6.005395683453238e-05, 'epoch': 4.01} -{'loss': 0.4691, 'grad_norm': 3.207972764968872, 'learning_rate': 6.003597122302158e-05, 'epoch': 4.01} -{'loss': 0.4602, 'grad_norm': 2.220888137817383, 'learning_rate': 6.0017985611510794e-05, 'epoch': 4.01} -{'loss': 0.4624, 'grad_norm': 2.138672351837158, 'learning_rate': 6e-05, 'epoch': 4.01} -{'loss': 0.4621, 'grad_norm': 3.9283154010772705, 'learning_rate': 5.9982014388489216e-05, 'epoch': 4.01} -{'loss': 0.4614, 'grad_norm': 3.262356758117676, 'learning_rate': 5.9964028776978424e-05, 'epoch': 4.01} -{'loss': 0.4668, 'grad_norm': 3.5008645057678223, 'learning_rate': 5.9946043165467625e-05, 'epoch': 4.02} -{'loss': 0.4612, 'grad_norm': 3.2013137340545654, 'learning_rate': 5.992805755395684e-05, 'epoch': 4.02} -{'loss': 0.4604, 'grad_norm': 3.4197027683258057, 'learning_rate': 5.991007194244605e-05, 'epoch': 4.02} -{'loss': 0.4522, 'grad_norm': 4.80377721786499, 'learning_rate': 5.989208633093526e-05, 'epoch': 4.02} - 40%|█████████████████████████████████████▉ | 2250/5570 [35:58<45:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4613686501979828, 'eval_runtime': 1.5529, 'eval_samples_per_second': 463.657, 'eval_steps_per_second': 3.864, 'epoch': 4.02} -{'loss': 0.4611, 'grad_norm': 6.354800224304199, 'learning_rate': 5.987410071942446e-05, 'epoch': 4.02} -{'loss': 0.4553, 'grad_norm': 3.4814810752868652, 'learning_rate': 5.985611510791367e-05, 'epoch': 4.03} -{'loss': 0.4642, 'grad_norm': 2.830658197402954, 'learning_rate': 5.9838129496402884e-05, 'epoch': 4.03} -{'loss': 0.4627, 'grad_norm': 2.2479443550109863, 'learning_rate': 5.9820143884892085e-05, 'epoch': 4.03} -{'loss': 0.455, 'grad_norm': 1.3254542350769043, 'learning_rate': 5.980215827338129e-05, 'epoch': 4.03} -{'loss': 0.4573, 'grad_norm': 3.319774866104126, 'learning_rate': 5.978417266187051e-05, 'epoch': 4.03} -{'loss': 0.4645, 'grad_norm': 4.247684001922607, 'learning_rate': 5.9766187050359715e-05, 'epoch': 4.03} -{'loss': 0.4497, 'grad_norm': 2.1006908416748047, 'learning_rate': 5.974820143884893e-05, 'epoch': 4.04} -{'loss': 0.4593, 'grad_norm': 2.2827556133270264, 'learning_rate': 5.973021582733813e-05, 'epoch': 4.04} -{'loss': 0.4606, 'grad_norm': 2.5026371479034424, 'learning_rate': 5.971223021582734e-05, 'epoch': 4.04} - 41%|██████████████████████████████████████▏ | 2260/5570 [36:08<44:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45392024517059326, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.29, 'eval_steps_per_second': 3.911, 'epoch': 4.04} -{'loss': 0.4579, 'grad_norm': 0.958163321018219, 'learning_rate': 5.969424460431655e-05, 'epoch': 4.04} -{'loss': 0.4513, 'grad_norm': 1.883057713508606, 'learning_rate': 5.9676258992805754e-05, 'epoch': 4.04} -{'loss': 0.4517, 'grad_norm': 2.1251251697540283, 'learning_rate': 5.965827338129497e-05, 'epoch': 4.04} -{'loss': 0.4643, 'grad_norm': 2.5697946548461914, 'learning_rate': 5.9640287769784176e-05, 'epoch': 4.05} -{'loss': 0.4609, 'grad_norm': 2.5359597206115723, 'learning_rate': 5.962230215827338e-05, 'epoch': 4.05} -{'loss': 0.4678, 'grad_norm': 4.5749030113220215, 'learning_rate': 5.96043165467626e-05, 'epoch': 4.05} -{'loss': 0.4619, 'grad_norm': 4.8140082359313965, 'learning_rate': 5.95863309352518e-05, 'epoch': 4.05} -{'loss': 0.4688, 'grad_norm': 2.673410177230835, 'learning_rate': 5.9568345323741014e-05, 'epoch': 4.05} -{'loss': 0.4634, 'grad_norm': 1.8588606119155884, 'learning_rate': 5.955035971223022e-05, 'epoch': 4.06} -{'loss': 0.4599, 'grad_norm': 4.167318344116211, 'learning_rate': 5.953237410071942e-05, 'epoch': 4.06} - 41%|██████████████████████████████████████▎ | 2270/5570 [36:17<44:44, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4619830548763275, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.281, 'eval_steps_per_second': 3.919, 'epoch': 4.06} -{'loss': 0.4668, 'grad_norm': 2.1527459621429443, 'learning_rate': 5.951438848920864e-05, 'epoch': 4.06} -{'loss': 0.4564, 'grad_norm': 2.4624645709991455, 'learning_rate': 5.9496402877697844e-05, 'epoch': 4.06} -{'loss': 0.455, 'grad_norm': 1.7278069257736206, 'learning_rate': 5.947841726618706e-05, 'epoch': 4.06} -{'loss': 0.4559, 'grad_norm': 2.002124547958374, 'learning_rate': 5.946043165467626e-05, 'epoch': 4.06} -{'loss': 0.4617, 'grad_norm': 1.9887100458145142, 'learning_rate': 5.944244604316547e-05, 'epoch': 4.07} -{'loss': 0.4592, 'grad_norm': 2.8367695808410645, 'learning_rate': 5.942446043165468e-05, 'epoch': 4.07} -{'loss': 0.4579, 'grad_norm': 3.1145904064178467, 'learning_rate': 5.940647482014389e-05, 'epoch': 4.07} -{'loss': 0.4676, 'grad_norm': 1.4223495721817017, 'learning_rate': 5.938848920863309e-05, 'epoch': 4.07} -{'loss': 0.4615, 'grad_norm': 5.261965751647949, 'learning_rate': 5.9370503597122305e-05, 'epoch': 4.07} -{'loss': 0.4641, 'grad_norm': 3.533504009246826, 'learning_rate': 5.935251798561151e-05, 'epoch': 4.08} - 41%|██████████████████████████████████████▍ | 2280/5570 [36:27<44:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4609108865261078, 'eval_runtime': 1.537, 'eval_samples_per_second': 468.454, 'eval_steps_per_second': 3.904, 'epoch': 4.08} -{'loss': 0.4635, 'grad_norm': 2.8628664016723633, 'learning_rate': 5.933453237410073e-05, 'epoch': 4.08} -{'loss': 0.466, 'grad_norm': 4.078985214233398, 'learning_rate': 5.931654676258993e-05, 'epoch': 4.08} -{'loss': 0.4647, 'grad_norm': 3.442247152328491, 'learning_rate': 5.9298561151079136e-05, 'epoch': 4.08} -{'loss': 0.4573, 'grad_norm': 2.5042593479156494, 'learning_rate': 5.928057553956835e-05, 'epoch': 4.08} -{'loss': 0.475, 'grad_norm': 4.8982367515563965, 'learning_rate': 5.926258992805755e-05, 'epoch': 4.08} -{'loss': 0.4761, 'grad_norm': 4.898468971252441, 'learning_rate': 5.924460431654677e-05, 'epoch': 4.09} -{'loss': 0.4621, 'grad_norm': 3.3624861240386963, 'learning_rate': 5.9226618705035974e-05, 'epoch': 4.09} -{'loss': 0.4621, 'grad_norm': 4.05813455581665, 'learning_rate': 5.920863309352518e-05, 'epoch': 4.09} -{'loss': 0.4589, 'grad_norm': 4.478567123413086, 'learning_rate': 5.9190647482014396e-05, 'epoch': 4.09} -{'loss': 0.4577, 'grad_norm': 3.9795455932617188, 'learning_rate': 5.91726618705036e-05, 'epoch': 4.09} - 41%|██████████████████████████████████████▋ | 2290/5570 [36:36<44:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45614033937454224, 'eval_runtime': 1.5407, 'eval_samples_per_second': 467.311, 'eval_steps_per_second': 3.894, 'epoch': 4.09} -{'loss': 0.4554, 'grad_norm': 1.646883249282837, 'learning_rate': 5.915467625899281e-05, 'epoch': 4.1} -{'loss': 0.4582, 'grad_norm': 3.7609822750091553, 'learning_rate': 5.913669064748202e-05, 'epoch': 4.1} -{'loss': 0.4562, 'grad_norm': 4.174245834350586, 'learning_rate': 5.911870503597122e-05, 'epoch': 4.1} -{'loss': 0.4606, 'grad_norm': 5.850632667541504, 'learning_rate': 5.910071942446044e-05, 'epoch': 4.1} -{'loss': 0.4625, 'grad_norm': 1.5572271347045898, 'learning_rate': 5.908273381294964e-05, 'epoch': 4.1} -{'loss': 0.4501, 'grad_norm': 2.1328911781311035, 'learning_rate': 5.906474820143885e-05, 'epoch': 4.1} -{'loss': 0.457, 'grad_norm': 1.9206557273864746, 'learning_rate': 5.9046762589928064e-05, 'epoch': 4.11} -{'loss': 0.4614, 'grad_norm': 2.0680923461914062, 'learning_rate': 5.9028776978417265e-05, 'epoch': 4.11} -{'loss': 0.4594, 'grad_norm': 1.7864128351211548, 'learning_rate': 5.901079136690648e-05, 'epoch': 4.11} -{'loss': 0.4497, 'grad_norm': 3.1633353233337402, 'learning_rate': 5.899280575539569e-05, 'epoch': 4.11} - 41%|██████████████████████████████████████▊ | 2300/5570 [36:46<44:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45724526047706604, 'eval_runtime': 1.5352, 'eval_samples_per_second': 469.007, 'eval_steps_per_second': 3.908, 'epoch': 4.11} -{'loss': 0.4551, 'grad_norm': 3.9780967235565186, 'learning_rate': 5.897482014388489e-05, 'epoch': 4.11} -{'loss': 0.4548, 'grad_norm': 2.7415924072265625, 'learning_rate': 5.89568345323741e-05, 'epoch': 4.11} -{'loss': 0.4606, 'grad_norm': 2.367518424987793, 'learning_rate': 5.893884892086331e-05, 'epoch': 4.12} -{'loss': 0.4611, 'grad_norm': 2.5353903770446777, 'learning_rate': 5.8920863309352525e-05, 'epoch': 4.12} -{'loss': 0.4614, 'grad_norm': 1.915809988975525, 'learning_rate': 5.890287769784173e-05, 'epoch': 4.12} -{'loss': 0.4603, 'grad_norm': 1.95927894115448, 'learning_rate': 5.8884892086330934e-05, 'epoch': 4.12} -{'loss': 0.4602, 'grad_norm': 2.310295343399048, 'learning_rate': 5.886690647482015e-05, 'epoch': 4.12} -{'loss': 0.4459, 'grad_norm': 1.8298805952072144, 'learning_rate': 5.8848920863309356e-05, 'epoch': 4.13} -{'loss': 0.4574, 'grad_norm': 3.700577735900879, 'learning_rate': 5.883093525179857e-05, 'epoch': 4.13} -{'loss': 0.4576, 'grad_norm': 3.2190072536468506, 'learning_rate': 5.881294964028777e-05, 'epoch': 4.13} - 41%|██████████████████████████████████████▉ | 2310/5570 [36:55<44:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4548322558403015, 'eval_runtime': 1.5397, 'eval_samples_per_second': 467.631, 'eval_steps_per_second': 3.897, 'epoch': 4.13} -{'loss': 0.4531, 'grad_norm': 1.9840607643127441, 'learning_rate': 5.879496402877698e-05, 'epoch': 4.13} -{'loss': 0.4536, 'grad_norm': 3.7781548500061035, 'learning_rate': 5.8776978417266193e-05, 'epoch': 4.13} -{'loss': 0.4566, 'grad_norm': 3.3215479850769043, 'learning_rate': 5.8758992805755394e-05, 'epoch': 4.13} -{'loss': 0.453, 'grad_norm': 0.9715027809143066, 'learning_rate': 5.87410071942446e-05, 'epoch': 4.14} -{'loss': 0.4515, 'grad_norm': 2.456735372543335, 'learning_rate': 5.8723021582733817e-05, 'epoch': 4.14} -{'loss': 0.453, 'grad_norm': 1.8311131000518799, 'learning_rate': 5.8705035971223024e-05, 'epoch': 4.14} -{'loss': 0.4625, 'grad_norm': 5.160576820373535, 'learning_rate': 5.868705035971224e-05, 'epoch': 4.14} -{'loss': 0.4469, 'grad_norm': 4.239810466766357, 'learning_rate': 5.866906474820144e-05, 'epoch': 4.14} -{'loss': 0.4547, 'grad_norm': 0.7713814973831177, 'learning_rate': 5.865107913669065e-05, 'epoch': 4.15} -{'loss': 0.4572, 'grad_norm': 2.418147563934326, 'learning_rate': 5.863309352517986e-05, 'epoch': 4.15} - 42%|███████████████████████████████████████▏ | 2320/5570 [37:05<44:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4548552632331848, 'eval_runtime': 1.5393, 'eval_samples_per_second': 467.736, 'eval_steps_per_second': 3.898, 'epoch': 4.15} -{'loss': 0.4752, 'grad_norm': 4.292605876922607, 'learning_rate': 5.861510791366906e-05, 'epoch': 4.15} -{'loss': 0.4659, 'grad_norm': 2.621326446533203, 'learning_rate': 5.859712230215828e-05, 'epoch': 4.15} -{'loss': 0.4553, 'grad_norm': 3.211984395980835, 'learning_rate': 5.8579136690647485e-05, 'epoch': 4.15} -{'loss': 0.4574, 'grad_norm': 4.877046585083008, 'learning_rate': 5.8561151079136686e-05, 'epoch': 4.15} -{'loss': 0.4542, 'grad_norm': 1.6759065389633179, 'learning_rate': 5.854316546762591e-05, 'epoch': 4.16} -{'loss': 0.4702, 'grad_norm': 5.69547176361084, 'learning_rate': 5.852517985611511e-05, 'epoch': 4.16} -{'loss': 0.4709, 'grad_norm': 6.60036039352417, 'learning_rate': 5.850719424460432e-05, 'epoch': 4.16} -{'loss': 0.4732, 'grad_norm': 7.534578800201416, 'learning_rate': 5.848920863309353e-05, 'epoch': 4.16} -{'loss': 0.452, 'grad_norm': 2.611027956008911, 'learning_rate': 5.847122302158273e-05, 'epoch': 4.16} -{'loss': 0.4551, 'grad_norm': 5.828688144683838, 'learning_rate': 5.8453237410071946e-05, 'epoch': 4.17} - 42%|███████████████████████████████████████▎ | 2330/5570 [37:15<43:50, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4692257344722748, 'eval_runtime': 1.524, 'eval_samples_per_second': 472.439, 'eval_steps_per_second': 3.937, 'epoch': 4.17} -{'loss': 0.4618, 'grad_norm': 10.880731582641602, 'learning_rate': 5.8435251798561153e-05, 'epoch': 4.17} -{'loss': 0.4652, 'grad_norm': 6.767017364501953, 'learning_rate': 5.841726618705037e-05, 'epoch': 4.17} -{'loss': 0.4667, 'grad_norm': 4.1430511474609375, 'learning_rate': 5.839928057553957e-05, 'epoch': 4.17} -{'loss': 0.4575, 'grad_norm': 3.448200225830078, 'learning_rate': 5.8381294964028777e-05, 'epoch': 4.17} -{'loss': 0.4695, 'grad_norm': 6.9889397621154785, 'learning_rate': 5.836330935251799e-05, 'epoch': 4.17} -{'loss': 0.4637, 'grad_norm': 5.676424026489258, 'learning_rate': 5.83453237410072e-05, 'epoch': 4.18} -{'loss': 0.4644, 'grad_norm': 3.0437405109405518, 'learning_rate': 5.83273381294964e-05, 'epoch': 4.18} -{'loss': 0.4539, 'grad_norm': 3.814323902130127, 'learning_rate': 5.8309352517985614e-05, 'epoch': 4.18} -{'loss': 0.4558, 'grad_norm': 5.361627101898193, 'learning_rate': 5.829136690647482e-05, 'epoch': 4.18} -{'loss': 0.4609, 'grad_norm': 7.250788688659668, 'learning_rate': 5.8273381294964036e-05, 'epoch': 4.18} - 42%|███████████████████████████████████████▍ | 2340/5570 [37:24<44:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45732054114341736, 'eval_runtime': 1.543, 'eval_samples_per_second': 466.628, 'eval_steps_per_second': 3.889, 'epoch': 4.18} -{'loss': 0.4609, 'grad_norm': 3.514948844909668, 'learning_rate': 5.825539568345324e-05, 'epoch': 4.18} -{'loss': 0.4606, 'grad_norm': 2.118316173553467, 'learning_rate': 5.8237410071942445e-05, 'epoch': 4.19} -{'loss': 0.4626, 'grad_norm': 5.718532085418701, 'learning_rate': 5.821942446043166e-05, 'epoch': 4.19} -{'loss': 0.4626, 'grad_norm': 8.70096206665039, 'learning_rate': 5.820143884892087e-05, 'epoch': 4.19} -{'loss': 0.4646, 'grad_norm': 5.589522838592529, 'learning_rate': 5.818345323741008e-05, 'epoch': 4.19} -{'loss': 0.4572, 'grad_norm': 2.6203720569610596, 'learning_rate': 5.816546762589928e-05, 'epoch': 4.19} -{'loss': 0.456, 'grad_norm': 2.774132013320923, 'learning_rate': 5.814748201438849e-05, 'epoch': 4.2} -{'loss': 0.4569, 'grad_norm': 2.6085357666015625, 'learning_rate': 5.8129496402877705e-05, 'epoch': 4.2} -{'loss': 0.4669, 'grad_norm': 2.3555757999420166, 'learning_rate': 5.8111510791366906e-05, 'epoch': 4.2} -{'loss': 0.4607, 'grad_norm': 2.476383924484253, 'learning_rate': 5.809352517985612e-05, 'epoch': 4.2} - 42%|███████████████████████████████████████▋ | 2350/5570 [37:34<44:31, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45578035712242126, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.371, 'eval_steps_per_second': 3.92, 'epoch': 4.2} -{'loss': 0.4593, 'grad_norm': 2.9758660793304443, 'learning_rate': 5.807553956834533e-05, 'epoch': 4.2} -{'loss': 0.4532, 'grad_norm': 1.6499853134155273, 'learning_rate': 5.805755395683453e-05, 'epoch': 4.2} -{'loss': 0.4537, 'grad_norm': 2.313049077987671, 'learning_rate': 5.803956834532375e-05, 'epoch': 4.21} -{'loss': 0.4542, 'grad_norm': 3.2534515857696533, 'learning_rate': 5.802158273381295e-05, 'epoch': 4.21} -{'loss': 0.4459, 'grad_norm': 1.3774001598358154, 'learning_rate': 5.800359712230216e-05, 'epoch': 4.21} -{'loss': 0.4586, 'grad_norm': 1.4266935586929321, 'learning_rate': 5.798561151079137e-05, 'epoch': 4.21} -{'loss': 0.4464, 'grad_norm': 1.474369764328003, 'learning_rate': 5.7967625899280574e-05, 'epoch': 4.21} -{'loss': 0.4611, 'grad_norm': 1.4888415336608887, 'learning_rate': 5.794964028776979e-05, 'epoch': 4.22} -{'loss': 0.442, 'grad_norm': 3.119962692260742, 'learning_rate': 5.7931654676258996e-05, 'epoch': 4.22} -{'loss': 0.4536, 'grad_norm': 5.493790626525879, 'learning_rate': 5.79136690647482e-05, 'epoch': 4.22} - 42%|███████████████████████████████████████▊ | 2360/5570 [37:43<43:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4551091492176056, 'eval_runtime': 1.5296, 'eval_samples_per_second': 470.702, 'eval_steps_per_second': 3.923, 'epoch': 4.22} -{'loss': 0.4528, 'grad_norm': 2.549255132675171, 'learning_rate': 5.789568345323741e-05, 'epoch': 4.22} -{'loss': 0.4544, 'grad_norm': 0.914500892162323, 'learning_rate': 5.787769784172662e-05, 'epoch': 4.22} -{'loss': 0.4709, 'grad_norm': 5.550537109375, 'learning_rate': 5.7859712230215834e-05, 'epoch': 4.22} -{'loss': 0.4723, 'grad_norm': 5.419713020324707, 'learning_rate': 5.784172661870504e-05, 'epoch': 4.23} -{'loss': 0.4633, 'grad_norm': 2.284562587738037, 'learning_rate': 5.782374100719424e-05, 'epoch': 4.23} -{'loss': 0.4499, 'grad_norm': 2.7521488666534424, 'learning_rate': 5.780575539568346e-05, 'epoch': 4.23} -{'loss': 0.4655, 'grad_norm': 3.733811378479004, 'learning_rate': 5.7787769784172665e-05, 'epoch': 4.23} -{'loss': 0.4578, 'grad_norm': 2.948214530944824, 'learning_rate': 5.776978417266188e-05, 'epoch': 4.23} -{'loss': 0.4473, 'grad_norm': 1.7425769567489624, 'learning_rate': 5.775179856115108e-05, 'epoch': 4.24} -{'loss': 0.4512, 'grad_norm': 2.3980703353881836, 'learning_rate': 5.773381294964029e-05, 'epoch': 4.24} - 43%|███████████████████████████████████████▉ | 2370/5570 [37:53<43:30, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4532081186771393, 'eval_runtime': 1.5395, 'eval_samples_per_second': 467.676, 'eval_steps_per_second': 3.897, 'epoch': 4.24} -{'loss': 0.4599, 'grad_norm': 0.6461132168769836, 'learning_rate': 5.77158273381295e-05, 'epoch': 4.24} -{'loss': 0.4542, 'grad_norm': 0.9381709098815918, 'learning_rate': 5.7697841726618703e-05, 'epoch': 4.24} -{'loss': 0.4542, 'grad_norm': 2.103724956512451, 'learning_rate': 5.7679856115107925e-05, 'epoch': 4.24} -{'loss': 0.4513, 'grad_norm': 1.4235191345214844, 'learning_rate': 5.7661870503597126e-05, 'epoch': 4.24} -{'loss': 0.4521, 'grad_norm': 1.360334038734436, 'learning_rate': 5.764388489208633e-05, 'epoch': 4.25} -{'loss': 0.4577, 'grad_norm': 1.8856180906295776, 'learning_rate': 5.762589928057555e-05, 'epoch': 4.25} -{'loss': 0.464, 'grad_norm': 1.349370002746582, 'learning_rate': 5.760791366906475e-05, 'epoch': 4.25} -{'loss': 0.4561, 'grad_norm': 2.4372520446777344, 'learning_rate': 5.7589928057553956e-05, 'epoch': 4.25} -{'loss': 0.462, 'grad_norm': 1.4778586626052856, 'learning_rate': 5.757194244604317e-05, 'epoch': 4.25} -{'loss': 0.4569, 'grad_norm': 1.96974778175354, 'learning_rate': 5.755395683453237e-05, 'epoch': 4.25} - 43%|████████████████████████████████████████▏ | 2380/5570 [38:02<43:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4526323974132538, 'eval_runtime': 1.5281, 'eval_samples_per_second': 471.167, 'eval_steps_per_second': 3.926, 'epoch': 4.25} -{'loss': 0.4557, 'grad_norm': 1.5168381929397583, 'learning_rate': 5.7535971223021586e-05, 'epoch': 4.26} -{'loss': 0.4541, 'grad_norm': 2.0146167278289795, 'learning_rate': 5.7517985611510794e-05, 'epoch': 4.26} -{'loss': 0.4521, 'grad_norm': 2.7001330852508545, 'learning_rate': 5.7499999999999995e-05, 'epoch': 4.26} -{'loss': 0.4654, 'grad_norm': 2.0048630237579346, 'learning_rate': 5.7482014388489216e-05, 'epoch': 4.26} -{'loss': 0.4571, 'grad_norm': 1.50918447971344, 'learning_rate': 5.746402877697842e-05, 'epoch': 4.26} -{'loss': 0.4515, 'grad_norm': 3.2220849990844727, 'learning_rate': 5.744604316546763e-05, 'epoch': 4.27} -{'loss': 0.4528, 'grad_norm': 0.9592434167861938, 'learning_rate': 5.742805755395684e-05, 'epoch': 4.27} -{'loss': 0.4529, 'grad_norm': 1.7621055841445923, 'learning_rate': 5.741007194244604e-05, 'epoch': 4.27} -{'loss': 0.4581, 'grad_norm': 2.260077476501465, 'learning_rate': 5.7392086330935255e-05, 'epoch': 4.27} -{'loss': 0.4622, 'grad_norm': 1.8038692474365234, 'learning_rate': 5.737410071942446e-05, 'epoch': 4.27} - 43%|████████████████████████████████████████▎ | 2390/5570 [38:12<43:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45540738105773926, 'eval_runtime': 1.5429, 'eval_samples_per_second': 466.663, 'eval_steps_per_second': 3.889, 'epoch': 4.27} -{'loss': 0.463, 'grad_norm': 3.8294222354888916, 'learning_rate': 5.735611510791368e-05, 'epoch': 4.27} -{'loss': 0.4565, 'grad_norm': 1.8409546613693237, 'learning_rate': 5.7338129496402885e-05, 'epoch': 4.28} -{'loss': 0.4478, 'grad_norm': 2.0465824604034424, 'learning_rate': 5.7320143884892086e-05, 'epoch': 4.28} -{'loss': 0.451, 'grad_norm': 1.7229214906692505, 'learning_rate': 5.73021582733813e-05, 'epoch': 4.28} -{'loss': 0.4547, 'grad_norm': 2.9064254760742188, 'learning_rate': 5.728417266187051e-05, 'epoch': 4.28} -{'loss': 0.4596, 'grad_norm': 4.18994665145874, 'learning_rate': 5.726618705035971e-05, 'epoch': 4.28} -{'loss': 0.4448, 'grad_norm': 1.7958966493606567, 'learning_rate': 5.724820143884892e-05, 'epoch': 4.29} -{'loss': 0.4484, 'grad_norm': 4.778193950653076, 'learning_rate': 5.723021582733813e-05, 'epoch': 4.29} -{'loss': 0.4617, 'grad_norm': 7.446286201477051, 'learning_rate': 5.7212230215827345e-05, 'epoch': 4.29} -{'loss': 0.4568, 'grad_norm': 5.986268997192383, 'learning_rate': 5.7194244604316546e-05, 'epoch': 4.29} - 43%|████████████████████████████████████████▌ | 2400/5570 [38:22<43:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4536655843257904, 'eval_runtime': 1.5346, 'eval_samples_per_second': 469.175, 'eval_steps_per_second': 3.91, 'epoch': 4.29} -{'loss': 0.4531, 'grad_norm': 1.8401167392730713, 'learning_rate': 5.7176258992805754e-05, 'epoch': 4.29} -{'loss': 0.4564, 'grad_norm': 6.528624534606934, 'learning_rate': 5.715827338129497e-05, 'epoch': 4.29} -{'loss': 0.4852, 'grad_norm': 7.730548858642578, 'learning_rate': 5.7140287769784176e-05, 'epoch': 4.3} -{'loss': 0.4835, 'grad_norm': 5.630339622497559, 'learning_rate': 5.712230215827339e-05, 'epoch': 4.3} -{'loss': 0.4646, 'grad_norm': 4.219641208648682, 'learning_rate': 5.710431654676259e-05, 'epoch': 4.3} -{'loss': 0.4568, 'grad_norm': 3.96223783493042, 'learning_rate': 5.70863309352518e-05, 'epoch': 4.3} -{'loss': 0.462, 'grad_norm': 5.110693454742432, 'learning_rate': 5.7068345323741014e-05, 'epoch': 4.3} -{'loss': 0.4543, 'grad_norm': 3.27384352684021, 'learning_rate': 5.7050359712230215e-05, 'epoch': 4.31} -{'loss': 0.4541, 'grad_norm': 1.7679814100265503, 'learning_rate': 5.703237410071943e-05, 'epoch': 4.31} -{'loss': 0.4649, 'grad_norm': 3.31767201423645, 'learning_rate': 5.701438848920864e-05, 'epoch': 4.31} - 43%|████████████████████████████████████████▋ | 2410/5570 [38:31<43:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45495444536209106, 'eval_runtime': 1.5378, 'eval_samples_per_second': 468.211, 'eval_steps_per_second': 3.902, 'epoch': 4.31} -{'loss': 0.4516, 'grad_norm': 3.583153486251831, 'learning_rate': 5.699640287769784e-05, 'epoch': 4.31} -{'loss': 0.4509, 'grad_norm': 1.8643789291381836, 'learning_rate': 5.697841726618706e-05, 'epoch': 4.31} -{'loss': 0.4611, 'grad_norm': 2.403446912765503, 'learning_rate': 5.696043165467626e-05, 'epoch': 4.31} -{'loss': 0.4499, 'grad_norm': 1.2274729013442993, 'learning_rate': 5.694244604316547e-05, 'epoch': 4.32} -{'loss': 0.457, 'grad_norm': 3.1635024547576904, 'learning_rate': 5.692446043165468e-05, 'epoch': 4.32} -{'loss': 0.4587, 'grad_norm': 1.4250502586364746, 'learning_rate': 5.690647482014388e-05, 'epoch': 4.32} -{'loss': 0.4586, 'grad_norm': 2.538395881652832, 'learning_rate': 5.68884892086331e-05, 'epoch': 4.32} -{'loss': 0.463, 'grad_norm': 4.183520317077637, 'learning_rate': 5.6870503597122305e-05, 'epoch': 4.32} -{'loss': 0.4603, 'grad_norm': 1.779788851737976, 'learning_rate': 5.6852517985611506e-05, 'epoch': 4.32} -{'loss': 0.4594, 'grad_norm': 1.6916066408157349, 'learning_rate': 5.683453237410072e-05, 'epoch': 4.33} - 43%|████████████████████████████████████████▊ | 2420/5570 [38:41<42:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45328056812286377, 'eval_runtime': 1.5396, 'eval_samples_per_second': 467.652, 'eval_steps_per_second': 3.897, 'epoch': 4.33} -{'loss': 0.4495, 'grad_norm': 2.3925909996032715, 'learning_rate': 5.681654676258993e-05, 'epoch': 4.33} -{'loss': 0.4657, 'grad_norm': 1.4954191446304321, 'learning_rate': 5.679856115107914e-05, 'epoch': 4.33} -{'loss': 0.453, 'grad_norm': 1.5138576030731201, 'learning_rate': 5.678057553956835e-05, 'epoch': 4.33} -{'loss': 0.4544, 'grad_norm': 1.7346841096878052, 'learning_rate': 5.676258992805755e-05, 'epoch': 4.33} -{'loss': 0.4582, 'grad_norm': 1.1338096857070923, 'learning_rate': 5.6744604316546766e-05, 'epoch': 4.34} -{'loss': 0.4489, 'grad_norm': 2.032029867172241, 'learning_rate': 5.6726618705035974e-05, 'epoch': 4.34} -{'loss': 0.444, 'grad_norm': 1.0361380577087402, 'learning_rate': 5.670863309352519e-05, 'epoch': 4.34} -{'loss': 0.4461, 'grad_norm': 2.785635471343994, 'learning_rate': 5.669064748201439e-05, 'epoch': 4.34} -{'loss': 0.4554, 'grad_norm': 1.5604249238967896, 'learning_rate': 5.66726618705036e-05, 'epoch': 4.34} -{'loss': 0.4634, 'grad_norm': 1.9906344413757324, 'learning_rate': 5.665467625899281e-05, 'epoch': 4.34} - 44%|█████████████████████████████████████████ | 2430/5570 [38:50<42:41, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45511436462402344, 'eval_runtime': 1.5317, 'eval_samples_per_second': 470.068, 'eval_steps_per_second': 3.917, 'epoch': 4.34} -{'loss': 0.4508, 'grad_norm': 2.8462862968444824, 'learning_rate': 5.663669064748202e-05, 'epoch': 4.35} -{'loss': 0.4558, 'grad_norm': 0.9401693344116211, 'learning_rate': 5.6618705035971234e-05, 'epoch': 4.35} -{'loss': 0.4554, 'grad_norm': 1.7670984268188477, 'learning_rate': 5.6600719424460435e-05, 'epoch': 4.35} -{'loss': 0.4475, 'grad_norm': 1.2885793447494507, 'learning_rate': 5.658273381294964e-05, 'epoch': 4.35} -{'loss': 0.4447, 'grad_norm': 1.5287061929702759, 'learning_rate': 5.656474820143886e-05, 'epoch': 4.35} -{'loss': 0.4608, 'grad_norm': 2.278329372406006, 'learning_rate': 5.654676258992806e-05, 'epoch': 4.36} -{'loss': 0.4602, 'grad_norm': 3.6294682025909424, 'learning_rate': 5.6528776978417265e-05, 'epoch': 4.36} -{'loss': 0.4564, 'grad_norm': 2.0984532833099365, 'learning_rate': 5.651079136690648e-05, 'epoch': 4.36} -{'loss': 0.452, 'grad_norm': 1.3159736394882202, 'learning_rate': 5.649280575539568e-05, 'epoch': 4.36} -{'loss': 0.4563, 'grad_norm': 4.165430068969727, 'learning_rate': 5.64748201438849e-05, 'epoch': 4.36} - 44%|█████████████████████████████████████████▏ | 2440/5570 [39:00<42:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45865216851234436, 'eval_runtime': 1.5361, 'eval_samples_per_second': 468.729, 'eval_steps_per_second': 3.906, 'epoch': 4.36} -{'loss': 0.4598, 'grad_norm': 5.809194564819336, 'learning_rate': 5.64568345323741e-05, 'epoch': 4.36} -{'loss': 0.455, 'grad_norm': 4.077979564666748, 'learning_rate': 5.643884892086331e-05, 'epoch': 4.37} -{'loss': 0.4504, 'grad_norm': 3.8676798343658447, 'learning_rate': 5.6420863309352525e-05, 'epoch': 4.37} -{'loss': 0.4631, 'grad_norm': 6.0274763107299805, 'learning_rate': 5.6402877697841726e-05, 'epoch': 4.37} -{'loss': 0.4571, 'grad_norm': 2.7612903118133545, 'learning_rate': 5.638489208633094e-05, 'epoch': 4.37} -{'loss': 0.4548, 'grad_norm': 1.6638565063476562, 'learning_rate': 5.636690647482015e-05, 'epoch': 4.37} -{'loss': 0.4556, 'grad_norm': 2.937122344970703, 'learning_rate': 5.634892086330935e-05, 'epoch': 4.38} -{'loss': 0.4504, 'grad_norm': 2.3016629219055176, 'learning_rate': 5.6330935251798564e-05, 'epoch': 4.38} -{'loss': 0.4546, 'grad_norm': 4.8569416999816895, 'learning_rate': 5.631294964028777e-05, 'epoch': 4.38} -{'loss': 0.4535, 'grad_norm': 2.780799627304077, 'learning_rate': 5.6294964028776986e-05, 'epoch': 4.38} - 44%|█████████████████████████████████████████▎ | 2450/5570 [39:09<42:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45158037543296814, 'eval_runtime': 1.5369, 'eval_samples_per_second': 468.488, 'eval_steps_per_second': 3.904, 'epoch': 4.38} -{'loss': 0.4577, 'grad_norm': 2.607581377029419, 'learning_rate': 5.6276978417266194e-05, 'epoch': 4.38} -{'loss': 0.4536, 'grad_norm': 1.907293677330017, 'learning_rate': 5.6258992805755395e-05, 'epoch': 4.38} -{'loss': 0.4587, 'grad_norm': 4.029885292053223, 'learning_rate': 5.624100719424461e-05, 'epoch': 4.39} -{'loss': 0.4459, 'grad_norm': 2.684584856033325, 'learning_rate': 5.622302158273382e-05, 'epoch': 4.39} -{'loss': 0.4586, 'grad_norm': 2.6118686199188232, 'learning_rate': 5.620503597122302e-05, 'epoch': 4.39} -{'loss': 0.4604, 'grad_norm': 3.0547492504119873, 'learning_rate': 5.618705035971223e-05, 'epoch': 4.39} -{'loss': 0.461, 'grad_norm': 2.2215585708618164, 'learning_rate': 5.616906474820144e-05, 'epoch': 4.39} -{'loss': 0.4594, 'grad_norm': 2.355637788772583, 'learning_rate': 5.6151079136690654e-05, 'epoch': 4.39} -{'loss': 0.4532, 'grad_norm': 2.1506993770599365, 'learning_rate': 5.6133093525179855e-05, 'epoch': 4.4} -{'loss': 0.46, 'grad_norm': 5.502226829528809, 'learning_rate': 5.611510791366906e-05, 'epoch': 4.4} - 44%|█████████████████████████████████████████▌ | 2460/5570 [39:19<42:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.46381792426109314, 'eval_runtime': 1.5336, 'eval_samples_per_second': 469.485, 'eval_steps_per_second': 3.912, 'epoch': 4.4} -{'loss': 0.4652, 'grad_norm': 6.544763565063477, 'learning_rate': 5.609712230215828e-05, 'epoch': 4.4} -{'loss': 0.4648, 'grad_norm': 4.065267086029053, 'learning_rate': 5.6079136690647485e-05, 'epoch': 4.4} -{'loss': 0.456, 'grad_norm': 2.374945640563965, 'learning_rate': 5.60611510791367e-05, 'epoch': 4.4} -{'loss': 0.4549, 'grad_norm': 2.3036019802093506, 'learning_rate': 5.60431654676259e-05, 'epoch': 4.41} -{'loss': 0.4662, 'grad_norm': 4.667842864990234, 'learning_rate': 5.602517985611511e-05, 'epoch': 4.41} -{'loss': 0.4555, 'grad_norm': 3.1315839290618896, 'learning_rate': 5.600719424460432e-05, 'epoch': 4.41} -{'loss': 0.4558, 'grad_norm': 1.110077142715454, 'learning_rate': 5.5989208633093524e-05, 'epoch': 4.41} -{'loss': 0.4583, 'grad_norm': 1.8587857484817505, 'learning_rate': 5.597122302158274e-05, 'epoch': 4.41} -{'loss': 0.4505, 'grad_norm': 0.8616454005241394, 'learning_rate': 5.5953237410071946e-05, 'epoch': 4.41} -{'loss': 0.458, 'grad_norm': 2.3412563800811768, 'learning_rate': 5.593525179856115e-05, 'epoch': 4.42} - 44%|█████████████████████████████████████████▋ | 2470/5570 [39:29<42:12, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4543094336986542, 'eval_runtime': 1.5506, 'eval_samples_per_second': 464.342, 'eval_steps_per_second': 3.87, 'epoch': 4.42} -{'loss': 0.4628, 'grad_norm': 2.736464500427246, 'learning_rate': 5.591726618705037e-05, 'epoch': 4.42} -{'loss': 0.4562, 'grad_norm': 1.2725284099578857, 'learning_rate': 5.589928057553957e-05, 'epoch': 4.42} -{'loss': 0.4588, 'grad_norm': 1.5920722484588623, 'learning_rate': 5.588129496402878e-05, 'epoch': 4.42} -{'loss': 0.4409, 'grad_norm': 1.8450905084609985, 'learning_rate': 5.586330935251799e-05, 'epoch': 4.42} -{'loss': 0.455, 'grad_norm': 2.8911614418029785, 'learning_rate': 5.584532374100719e-05, 'epoch': 4.43} -{'loss': 0.459, 'grad_norm': 1.7205349206924438, 'learning_rate': 5.582733812949641e-05, 'epoch': 4.43} -{'loss': 0.4471, 'grad_norm': 1.9998958110809326, 'learning_rate': 5.5809352517985614e-05, 'epoch': 4.43} -{'loss': 0.4559, 'grad_norm': 0.8442440629005432, 'learning_rate': 5.5791366906474815e-05, 'epoch': 4.43} -{'loss': 0.4531, 'grad_norm': 3.1249544620513916, 'learning_rate': 5.577338129496404e-05, 'epoch': 4.43} -{'loss': 0.457, 'grad_norm': 1.9594237804412842, 'learning_rate': 5.575539568345324e-05, 'epoch': 4.43} - 45%|█████████████████████████████████████████▊ | 2480/5570 [39:38<42:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.453376442193985, 'eval_runtime': 1.5458, 'eval_samples_per_second': 465.774, 'eval_steps_per_second': 3.881, 'epoch': 4.43} -{'loss': 0.4663, 'grad_norm': 1.9730719327926636, 'learning_rate': 5.573741007194245e-05, 'epoch': 4.44} -{'loss': 0.4616, 'grad_norm': 3.7209315299987793, 'learning_rate': 5.571942446043166e-05, 'epoch': 4.44} -{'loss': 0.4614, 'grad_norm': 3.7932982444763184, 'learning_rate': 5.570143884892086e-05, 'epoch': 4.44} -{'loss': 0.4576, 'grad_norm': 1.8537753820419312, 'learning_rate': 5.5683453237410075e-05, 'epoch': 4.44} -{'loss': 0.4499, 'grad_norm': 3.770062208175659, 'learning_rate': 5.566546762589928e-05, 'epoch': 4.44} -{'loss': 0.4492, 'grad_norm': 2.0901715755462646, 'learning_rate': 5.56474820143885e-05, 'epoch': 4.45} -{'loss': 0.4617, 'grad_norm': 3.022054433822632, 'learning_rate': 5.56294964028777e-05, 'epoch': 4.45} -{'loss': 0.4541, 'grad_norm': 2.685291290283203, 'learning_rate': 5.5611510791366906e-05, 'epoch': 4.45} -{'loss': 0.4537, 'grad_norm': 1.7256195545196533, 'learning_rate': 5.559352517985612e-05, 'epoch': 4.45} -{'loss': 0.4484, 'grad_norm': 2.4014251232147217, 'learning_rate': 5.557553956834533e-05, 'epoch': 4.45} - 45%|██████████████████████████████████████████ | 2490/5570 [39:48<42:09, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45499560236930847, 'eval_runtime': 1.5509, 'eval_samples_per_second': 464.247, 'eval_steps_per_second': 3.869, 'epoch': 4.45} -{'loss': 0.4553, 'grad_norm': 3.019031524658203, 'learning_rate': 5.555755395683454e-05, 'epoch': 4.45} -{'loss': 0.4579, 'grad_norm': 1.3850520849227905, 'learning_rate': 5.5539568345323744e-05, 'epoch': 4.46} -{'loss': 0.4529, 'grad_norm': 2.4678845405578613, 'learning_rate': 5.552158273381295e-05, 'epoch': 4.46} -{'loss': 0.4558, 'grad_norm': 3.7032339572906494, 'learning_rate': 5.5503597122302166e-05, 'epoch': 4.46} -{'loss': 0.4497, 'grad_norm': 1.8482369184494019, 'learning_rate': 5.548561151079137e-05, 'epoch': 4.46} -{'loss': 0.4505, 'grad_norm': 3.1376380920410156, 'learning_rate': 5.5467625899280574e-05, 'epoch': 4.46} -{'loss': 0.465, 'grad_norm': 1.7939798831939697, 'learning_rate': 5.544964028776979e-05, 'epoch': 4.46} -{'loss': 0.4505, 'grad_norm': 1.745166301727295, 'learning_rate': 5.543165467625899e-05, 'epoch': 4.47} -{'loss': 0.4612, 'grad_norm': 2.7992172241210938, 'learning_rate': 5.541366906474821e-05, 'epoch': 4.47} -{'loss': 0.4633, 'grad_norm': 3.92535662651062, 'learning_rate': 5.539568345323741e-05, 'epoch': 4.47} - 45%|██████████████████████████████████████████▏ | 2500/5570 [39:57<41:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45457538962364197, 'eval_runtime': 1.5607, 'eval_samples_per_second': 461.346, 'eval_steps_per_second': 3.845, 'epoch': 4.47} -{'loss': 0.4554, 'grad_norm': 2.469238519668579, 'learning_rate': 5.537769784172662e-05, 'epoch': 4.47} -{'loss': 0.4603, 'grad_norm': 1.8010613918304443, 'learning_rate': 5.5359712230215834e-05, 'epoch': 4.47} -{'loss': 0.4526, 'grad_norm': 2.2015130519866943, 'learning_rate': 5.5341726618705035e-05, 'epoch': 4.48} -{'loss': 0.4617, 'grad_norm': 2.367384910583496, 'learning_rate': 5.532374100719425e-05, 'epoch': 4.48} -{'loss': 0.4539, 'grad_norm': 0.682991087436676, 'learning_rate': 5.530575539568346e-05, 'epoch': 4.48} -{'loss': 0.4511, 'grad_norm': 2.1732001304626465, 'learning_rate': 5.528776978417266e-05, 'epoch': 4.48} -{'loss': 0.448, 'grad_norm': 1.9237991571426392, 'learning_rate': 5.526978417266187e-05, 'epoch': 4.48} -{'loss': 0.4558, 'grad_norm': 3.0652050971984863, 'learning_rate': 5.525179856115108e-05, 'epoch': 4.48} -{'loss': 0.4473, 'grad_norm': 1.039191722869873, 'learning_rate': 5.5233812949640295e-05, 'epoch': 4.49} -{'loss': 0.4513, 'grad_norm': 1.8614155054092407, 'learning_rate': 5.52158273381295e-05, 'epoch': 4.49} - 45%|██████████████████████████████████████████▎ | 2510/5570 [40:07<41:38, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45471811294555664, 'eval_runtime': 1.5545, 'eval_samples_per_second': 463.158, 'eval_steps_per_second': 3.86, 'epoch': 4.49} -{'loss': 0.4577, 'grad_norm': 1.8426436185836792, 'learning_rate': 5.5197841726618704e-05, 'epoch': 4.49} -{'loss': 0.4508, 'grad_norm': 1.4862728118896484, 'learning_rate': 5.517985611510792e-05, 'epoch': 4.49} -{'loss': 0.4572, 'grad_norm': 3.9526069164276123, 'learning_rate': 5.5161870503597126e-05, 'epoch': 4.49} -{'loss': 0.4615, 'grad_norm': 4.447892665863037, 'learning_rate': 5.514388489208633e-05, 'epoch': 4.5} -{'loss': 0.4586, 'grad_norm': 2.89907169342041, 'learning_rate': 5.512589928057554e-05, 'epoch': 4.5} -{'loss': 0.462, 'grad_norm': 3.025657892227173, 'learning_rate': 5.510791366906475e-05, 'epoch': 4.5} -{'loss': 0.456, 'grad_norm': 4.516635894775391, 'learning_rate': 5.5089928057553963e-05, 'epoch': 4.5} -{'loss': 0.458, 'grad_norm': 2.8233845233917236, 'learning_rate': 5.5071942446043164e-05, 'epoch': 4.5} -{'loss': 0.4656, 'grad_norm': 2.1924386024475098, 'learning_rate': 5.505395683453237e-05, 'epoch': 4.5} -{'loss': 0.4634, 'grad_norm': 3.415799856185913, 'learning_rate': 5.5035971223021587e-05, 'epoch': 4.51} - 45%|██████████████████████████████████████████▌ | 2520/5570 [40:17<41:44, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45431792736053467, 'eval_runtime': 1.5492, 'eval_samples_per_second': 464.759, 'eval_steps_per_second': 3.873, 'epoch': 4.51} -{'loss': 0.4637, 'grad_norm': 3.9988884925842285, 'learning_rate': 5.5017985611510794e-05, 'epoch': 4.51} -{'loss': 0.4562, 'grad_norm': 1.8426132202148438, 'learning_rate': 5.500000000000001e-05, 'epoch': 4.51} -{'loss': 0.4573, 'grad_norm': 2.960630178451538, 'learning_rate': 5.498201438848921e-05, 'epoch': 4.51} -{'loss': 0.4643, 'grad_norm': 6.6486968994140625, 'learning_rate': 5.496402877697842e-05, 'epoch': 4.51} -{'loss': 0.4569, 'grad_norm': 4.60567569732666, 'learning_rate': 5.494604316546763e-05, 'epoch': 4.52} -{'loss': 0.456, 'grad_norm': 2.4530234336853027, 'learning_rate': 5.492805755395683e-05, 'epoch': 4.52} -{'loss': 0.4614, 'grad_norm': 3.02738618850708, 'learning_rate': 5.4910071942446054e-05, 'epoch': 4.52} -{'loss': 0.4608, 'grad_norm': 2.852027654647827, 'learning_rate': 5.4892086330935255e-05, 'epoch': 4.52} -{'loss': 0.4671, 'grad_norm': 3.3722574710845947, 'learning_rate': 5.487410071942446e-05, 'epoch': 4.52} -{'loss': 0.4541, 'grad_norm': 1.9588878154754639, 'learning_rate': 5.485611510791368e-05, 'epoch': 4.52} - 45%|██████████████████████████████████████████▋ | 2530/5570 [40:26<41:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4513304829597473, 'eval_runtime': 1.5494, 'eval_samples_per_second': 464.69, 'eval_steps_per_second': 3.872, 'epoch': 4.52} -{'loss': 0.4583, 'grad_norm': 0.8918787240982056, 'learning_rate': 5.483812949640288e-05, 'epoch': 4.53} -{'loss': 0.4626, 'grad_norm': 2.281425714492798, 'learning_rate': 5.4820143884892086e-05, 'epoch': 4.53} -{'loss': 0.4526, 'grad_norm': 2.2906906604766846, 'learning_rate': 5.48021582733813e-05, 'epoch': 4.53} -{'loss': 0.4512, 'grad_norm': 1.310651421546936, 'learning_rate': 5.47841726618705e-05, 'epoch': 4.53} -{'loss': 0.4479, 'grad_norm': 1.2688689231872559, 'learning_rate': 5.4766187050359716e-05, 'epoch': 4.53} -{'loss': 0.4409, 'grad_norm': 1.853337049484253, 'learning_rate': 5.4748201438848923e-05, 'epoch': 4.54} -{'loss': 0.4513, 'grad_norm': 1.1415321826934814, 'learning_rate': 5.4730215827338124e-05, 'epoch': 4.54} -{'loss': 0.4551, 'grad_norm': 3.784848213195801, 'learning_rate': 5.4712230215827346e-05, 'epoch': 4.54} -{'loss': 0.4494, 'grad_norm': 0.7052557468414307, 'learning_rate': 5.4694244604316547e-05, 'epoch': 4.54} -{'loss': 0.4444, 'grad_norm': 2.728485345840454, 'learning_rate': 5.467625899280576e-05, 'epoch': 4.54} - 46%|██████████████████████████████████████████▊ | 2540/5570 [40:36<41:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.452531099319458, 'eval_runtime': 1.539, 'eval_samples_per_second': 467.849, 'eval_steps_per_second': 3.899, 'epoch': 4.54} -{'loss': 0.4501, 'grad_norm': 1.897645115852356, 'learning_rate': 5.465827338129497e-05, 'epoch': 4.54} -{'loss': 0.465, 'grad_norm': 3.0675127506256104, 'learning_rate': 5.464028776978417e-05, 'epoch': 4.55} -{'loss': 0.4491, 'grad_norm': 1.4328703880310059, 'learning_rate': 5.4622302158273384e-05, 'epoch': 4.55} -{'loss': 0.4569, 'grad_norm': 1.677680492401123, 'learning_rate': 5.460431654676259e-05, 'epoch': 4.55} -{'loss': 0.4558, 'grad_norm': 2.631159782409668, 'learning_rate': 5.4586330935251806e-05, 'epoch': 4.55} -{'loss': 0.4592, 'grad_norm': 1.2345634698867798, 'learning_rate': 5.456834532374101e-05, 'epoch': 4.55} -{'loss': 0.4433, 'grad_norm': 1.1160595417022705, 'learning_rate': 5.4550359712230215e-05, 'epoch': 4.55} -{'loss': 0.453, 'grad_norm': 1.4423826932907104, 'learning_rate': 5.453237410071943e-05, 'epoch': 4.56} -{'loss': 0.4551, 'grad_norm': 0.7526707053184509, 'learning_rate': 5.451438848920864e-05, 'epoch': 4.56} -{'loss': 0.4464, 'grad_norm': 1.7409831285476685, 'learning_rate': 5.449640287769785e-05, 'epoch': 4.56} - 46%|███████████████████████████████████████████ | 2550/5570 [40:45<41:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45128440856933594, 'eval_runtime': 1.549, 'eval_samples_per_second': 464.823, 'eval_steps_per_second': 3.874, 'epoch': 4.56} -{'loss': 0.4534, 'grad_norm': 1.0807541608810425, 'learning_rate': 5.447841726618705e-05, 'epoch': 4.56} -{'loss': 0.4452, 'grad_norm': 3.672053813934326, 'learning_rate': 5.446043165467626e-05, 'epoch': 4.56} -{'loss': 0.4429, 'grad_norm': 2.894792079925537, 'learning_rate': 5.4442446043165475e-05, 'epoch': 4.57} -{'loss': 0.4522, 'grad_norm': 1.57014000415802, 'learning_rate': 5.4424460431654676e-05, 'epoch': 4.57} -{'loss': 0.4547, 'grad_norm': 4.642660617828369, 'learning_rate': 5.4406474820143883e-05, 'epoch': 4.57} -{'loss': 0.4518, 'grad_norm': 3.4828250408172607, 'learning_rate': 5.43884892086331e-05, 'epoch': 4.57} -{'loss': 0.4699, 'grad_norm': 2.332815647125244, 'learning_rate': 5.43705035971223e-05, 'epoch': 4.57} -{'loss': 0.4717, 'grad_norm': 7.489688396453857, 'learning_rate': 5.435251798561152e-05, 'epoch': 4.57} -{'loss': 0.4589, 'grad_norm': 4.718323230743408, 'learning_rate': 5.433453237410072e-05, 'epoch': 4.58} -{'loss': 0.47, 'grad_norm': 3.7658724784851074, 'learning_rate': 5.431654676258993e-05, 'epoch': 4.58} - 46%|███████████████████████████████████████████▏ | 2560/5570 [40:55<41:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.457816481590271, 'eval_runtime': 1.5693, 'eval_samples_per_second': 458.81, 'eval_steps_per_second': 3.823, 'epoch': 4.58} -{'loss': 0.4699, 'grad_norm': 3.1559157371520996, 'learning_rate': 5.429856115107914e-05, 'epoch': 4.58} -{'loss': 0.4569, 'grad_norm': 4.2741899490356445, 'learning_rate': 5.4280575539568344e-05, 'epoch': 4.58} -{'loss': 0.454, 'grad_norm': 1.9901224374771118, 'learning_rate': 5.426258992805756e-05, 'epoch': 4.58} -{'loss': 0.4522, 'grad_norm': 1.5984687805175781, 'learning_rate': 5.4244604316546766e-05, 'epoch': 4.59} -{'loss': 0.4547, 'grad_norm': 3.0295279026031494, 'learning_rate': 5.422661870503597e-05, 'epoch': 4.59} -{'loss': 0.4597, 'grad_norm': 2.1727943420410156, 'learning_rate': 5.420863309352518e-05, 'epoch': 4.59} -{'loss': 0.454, 'grad_norm': 3.696708917617798, 'learning_rate': 5.419064748201439e-05, 'epoch': 4.59} -{'loss': 0.4544, 'grad_norm': 2.6071691513061523, 'learning_rate': 5.4172661870503604e-05, 'epoch': 4.59} -{'loss': 0.4525, 'grad_norm': 2.163334846496582, 'learning_rate': 5.415467625899281e-05, 'epoch': 4.59} -{'loss': 0.4544, 'grad_norm': 1.9829061031341553, 'learning_rate': 5.413669064748201e-05, 'epoch': 4.6} - 46%|███████████████████████████████████████████▎ | 2570/5570 [41:04<40:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4532431662082672, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.775, 'eval_steps_per_second': 3.915, 'epoch': 4.6} -{'loss': 0.4502, 'grad_norm': 1.408108115196228, 'learning_rate': 5.411870503597123e-05, 'epoch': 4.6} -{'loss': 0.453, 'grad_norm': 2.4633469581604004, 'learning_rate': 5.4100719424460435e-05, 'epoch': 4.6} -{'loss': 0.4495, 'grad_norm': 1.8234620094299316, 'learning_rate': 5.4082733812949636e-05, 'epoch': 4.6} -{'loss': 0.4516, 'grad_norm': 1.9793063402175903, 'learning_rate': 5.406474820143885e-05, 'epoch': 4.6} -{'loss': 0.4468, 'grad_norm': 1.7525237798690796, 'learning_rate': 5.404676258992806e-05, 'epoch': 4.61} -{'loss': 0.4561, 'grad_norm': 2.3404386043548584, 'learning_rate': 5.402877697841727e-05, 'epoch': 4.61} -{'loss': 0.452, 'grad_norm': 1.7056399583816528, 'learning_rate': 5.401079136690648e-05, 'epoch': 4.61} -{'loss': 0.4461, 'grad_norm': 3.2429299354553223, 'learning_rate': 5.399280575539568e-05, 'epoch': 4.61} -{'loss': 0.4447, 'grad_norm': 1.7824053764343262, 'learning_rate': 5.3974820143884896e-05, 'epoch': 4.61} -{'loss': 0.4508, 'grad_norm': 2.223267078399658, 'learning_rate': 5.39568345323741e-05, 'epoch': 4.61} - 46%|███████████████████████████████████████████▌ | 2580/5570 [41:14<40:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4504079222679138, 'eval_runtime': 1.5442, 'eval_samples_per_second': 466.264, 'eval_steps_per_second': 3.886, 'epoch': 4.61} -{'loss': 0.4455, 'grad_norm': 3.0407779216766357, 'learning_rate': 5.393884892086332e-05, 'epoch': 4.62} -{'loss': 0.4493, 'grad_norm': 1.1861381530761719, 'learning_rate': 5.392086330935252e-05, 'epoch': 4.62} -{'loss': 0.459, 'grad_norm': 3.028790235519409, 'learning_rate': 5.3902877697841726e-05, 'epoch': 4.62} -{'loss': 0.4585, 'grad_norm': 1.8257784843444824, 'learning_rate': 5.388489208633094e-05, 'epoch': 4.62} -{'loss': 0.4472, 'grad_norm': 2.8989343643188477, 'learning_rate': 5.386690647482014e-05, 'epoch': 4.62} -{'loss': 0.4458, 'grad_norm': 3.277484178543091, 'learning_rate': 5.384892086330936e-05, 'epoch': 4.62} -{'loss': 0.4519, 'grad_norm': 1.4766689538955688, 'learning_rate': 5.3830935251798564e-05, 'epoch': 4.63} -{'loss': 0.4494, 'grad_norm': 4.930978298187256, 'learning_rate': 5.381294964028777e-05, 'epoch': 4.63} -{'loss': 0.4592, 'grad_norm': 4.879354000091553, 'learning_rate': 5.3794964028776986e-05, 'epoch': 4.63} -{'loss': 0.4534, 'grad_norm': 4.685596942901611, 'learning_rate': 5.377697841726619e-05, 'epoch': 4.63} - 46%|███████████████████████████████████████████▋ | 2590/5570 [41:24<40:39, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4506135582923889, 'eval_runtime': 1.5543, 'eval_samples_per_second': 463.239, 'eval_steps_per_second': 3.86, 'epoch': 4.63} -{'loss': 0.45, 'grad_norm': 1.2034105062484741, 'learning_rate': 5.37589928057554e-05, 'epoch': 4.63} -{'loss': 0.4495, 'grad_norm': 1.6551395654678345, 'learning_rate': 5.374100719424461e-05, 'epoch': 4.64} -{'loss': 0.451, 'grad_norm': 3.7480106353759766, 'learning_rate': 5.372302158273381e-05, 'epoch': 4.64} -{'loss': 0.4556, 'grad_norm': 2.145751476287842, 'learning_rate': 5.3705035971223025e-05, 'epoch': 4.64} -{'loss': 0.4455, 'grad_norm': 1.9193546772003174, 'learning_rate': 5.368705035971223e-05, 'epoch': 4.64} -{'loss': 0.4567, 'grad_norm': 2.08713698387146, 'learning_rate': 5.366906474820143e-05, 'epoch': 4.64} -{'loss': 0.4616, 'grad_norm': 4.248854637145996, 'learning_rate': 5.3651079136690655e-05, 'epoch': 4.64} -{'loss': 0.4614, 'grad_norm': 3.3976030349731445, 'learning_rate': 5.3633093525179856e-05, 'epoch': 4.65} -{'loss': 0.4542, 'grad_norm': 3.62319278717041, 'learning_rate': 5.361510791366907e-05, 'epoch': 4.65} -{'loss': 0.4537, 'grad_norm': 2.366791248321533, 'learning_rate': 5.359712230215828e-05, 'epoch': 4.65} - 47%|███████████████████████████████████████████▉ | 2600/5570 [41:33<40:36, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45147594809532166, 'eval_runtime': 1.5539, 'eval_samples_per_second': 463.352, 'eval_steps_per_second': 3.861, 'epoch': 4.65} -{'loss': 0.4514, 'grad_norm': 1.9316002130508423, 'learning_rate': 5.357913669064748e-05, 'epoch': 4.65} -{'loss': 0.4466, 'grad_norm': 2.7688183784484863, 'learning_rate': 5.356115107913669e-05, 'epoch': 4.65} -{'loss': 0.4551, 'grad_norm': 1.0726004838943481, 'learning_rate': 5.35431654676259e-05, 'epoch': 4.66} -{'loss': 0.4575, 'grad_norm': 2.32914662361145, 'learning_rate': 5.3525179856115115e-05, 'epoch': 4.66} -{'loss': 0.4626, 'grad_norm': 3.3243231773376465, 'learning_rate': 5.3507194244604316e-05, 'epoch': 4.66} -{'loss': 0.4561, 'grad_norm': 2.3676464557647705, 'learning_rate': 5.3489208633093524e-05, 'epoch': 4.66} -{'loss': 0.4651, 'grad_norm': 1.883035659790039, 'learning_rate': 5.347122302158274e-05, 'epoch': 4.66} -{'loss': 0.4485, 'grad_norm': 2.7770519256591797, 'learning_rate': 5.3453237410071946e-05, 'epoch': 4.66} -{'loss': 0.4667, 'grad_norm': 2.5624873638153076, 'learning_rate': 5.343525179856116e-05, 'epoch': 4.67} -{'loss': 0.4419, 'grad_norm': 1.593993902206421, 'learning_rate': 5.341726618705036e-05, 'epoch': 4.67} - 47%|████████████████████████████████████████████ | 2610/5570 [41:43<40:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4499542713165283, 'eval_runtime': 1.5449, 'eval_samples_per_second': 466.062, 'eval_steps_per_second': 3.884, 'epoch': 4.67} -{'loss': 0.4587, 'grad_norm': 1.6554328203201294, 'learning_rate': 5.339928057553957e-05, 'epoch': 4.67} -{'loss': 0.4477, 'grad_norm': 1.2343342304229736, 'learning_rate': 5.3381294964028784e-05, 'epoch': 4.67} -{'loss': 0.4556, 'grad_norm': 5.420422077178955, 'learning_rate': 5.3363309352517985e-05, 'epoch': 4.67} -{'loss': 0.4557, 'grad_norm': 3.562143087387085, 'learning_rate': 5.334532374100719e-05, 'epoch': 4.68} -{'loss': 0.4546, 'grad_norm': 2.3168482780456543, 'learning_rate': 5.332733812949641e-05, 'epoch': 4.68} -{'loss': 0.4616, 'grad_norm': 4.438599109649658, 'learning_rate': 5.3309352517985615e-05, 'epoch': 4.68} -{'loss': 0.4584, 'grad_norm': 6.944077968597412, 'learning_rate': 5.329136690647483e-05, 'epoch': 4.68} -{'loss': 0.4658, 'grad_norm': 3.1558353900909424, 'learning_rate': 5.327338129496403e-05, 'epoch': 4.68} -{'loss': 0.4543, 'grad_norm': 1.0085396766662598, 'learning_rate': 5.325539568345324e-05, 'epoch': 4.68} -{'loss': 0.4634, 'grad_norm': 6.951791763305664, 'learning_rate': 5.323741007194245e-05, 'epoch': 4.69} - 47%|████████████████████████████████████████████▏ | 2620/5570 [41:52<40:17, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4676642417907715, 'eval_runtime': 1.5509, 'eval_samples_per_second': 464.253, 'eval_steps_per_second': 3.869, 'epoch': 4.69} -{'loss': 0.4631, 'grad_norm': 8.926230430603027, 'learning_rate': 5.321942446043165e-05, 'epoch': 4.69} -{'loss': 0.4694, 'grad_norm': 9.725744247436523, 'learning_rate': 5.320143884892087e-05, 'epoch': 4.69} -{'loss': 0.4563, 'grad_norm': 4.286247253417969, 'learning_rate': 5.3183453237410075e-05, 'epoch': 4.69} -{'loss': 0.4557, 'grad_norm': 1.487420916557312, 'learning_rate': 5.3165467625899276e-05, 'epoch': 4.69} -{'loss': 0.4501, 'grad_norm': 4.448513031005859, 'learning_rate': 5.31474820143885e-05, 'epoch': 4.69} -{'loss': 0.4547, 'grad_norm': 6.393186092376709, 'learning_rate': 5.31294964028777e-05, 'epoch': 4.7} -{'loss': 0.4646, 'grad_norm': 4.000334739685059, 'learning_rate': 5.311151079136691e-05, 'epoch': 4.7} -{'loss': 0.4522, 'grad_norm': 2.0026321411132812, 'learning_rate': 5.309352517985612e-05, 'epoch': 4.7} -{'loss': 0.4672, 'grad_norm': 2.6164493560791016, 'learning_rate': 5.307553956834532e-05, 'epoch': 4.7} -{'loss': 0.4663, 'grad_norm': 3.6988143920898438, 'learning_rate': 5.3057553956834536e-05, 'epoch': 4.7} - 47%|████████████████████████████████████████████▍ | 2630/5570 [42:02<40:11, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4526558220386505, 'eval_runtime': 1.5437, 'eval_samples_per_second': 466.413, 'eval_steps_per_second': 3.887, 'epoch': 4.7} -{'loss': 0.4546, 'grad_norm': 1.2657052278518677, 'learning_rate': 5.3039568345323744e-05, 'epoch': 4.71} -{'loss': 0.4491, 'grad_norm': 1.0114763975143433, 'learning_rate': 5.3021582733812945e-05, 'epoch': 4.71} -{'loss': 0.4626, 'grad_norm': 3.8354694843292236, 'learning_rate': 5.300359712230216e-05, 'epoch': 4.71} -{'loss': 0.4449, 'grad_norm': 2.598123073577881, 'learning_rate': 5.298561151079137e-05, 'epoch': 4.71} -{'loss': 0.4551, 'grad_norm': 1.4643882513046265, 'learning_rate': 5.296762589928058e-05, 'epoch': 4.71} -{'loss': 0.4425, 'grad_norm': 1.9582569599151611, 'learning_rate': 5.294964028776979e-05, 'epoch': 4.71} -{'loss': 0.4557, 'grad_norm': 3.7768983840942383, 'learning_rate': 5.293165467625899e-05, 'epoch': 4.72} -{'loss': 0.455, 'grad_norm': 3.076211452484131, 'learning_rate': 5.2913669064748205e-05, 'epoch': 4.72} -{'loss': 0.4634, 'grad_norm': 2.7253518104553223, 'learning_rate': 5.289568345323741e-05, 'epoch': 4.72} -{'loss': 0.4578, 'grad_norm': 2.287104845046997, 'learning_rate': 5.287769784172663e-05, 'epoch': 4.72} - 47%|████████████████████████████████████████████▌ | 2640/5570 [42:12<40:33, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4565226137638092, 'eval_runtime': 1.5488, 'eval_samples_per_second': 464.888, 'eval_steps_per_second': 3.874, 'epoch': 4.72} -{'loss': 0.4591, 'grad_norm': 3.2120954990386963, 'learning_rate': 5.285971223021583e-05, 'epoch': 4.72} -{'loss': 0.4451, 'grad_norm': 1.9740593433380127, 'learning_rate': 5.2841726618705035e-05, 'epoch': 4.73} -{'loss': 0.4524, 'grad_norm': 1.1145813465118408, 'learning_rate': 5.282374100719425e-05, 'epoch': 4.73} -{'loss': 0.4539, 'grad_norm': 3.205812931060791, 'learning_rate': 5.280575539568345e-05, 'epoch': 4.73} -{'loss': 0.4621, 'grad_norm': 4.453907489776611, 'learning_rate': 5.278776978417267e-05, 'epoch': 4.73} -{'loss': 0.4589, 'grad_norm': 2.1198439598083496, 'learning_rate': 5.276978417266187e-05, 'epoch': 4.73} -{'loss': 0.4535, 'grad_norm': 2.053927421569824, 'learning_rate': 5.275179856115108e-05, 'epoch': 4.73} -{'loss': 0.4553, 'grad_norm': 2.342015027999878, 'learning_rate': 5.2733812949640295e-05, 'epoch': 4.74} -{'loss': 0.4581, 'grad_norm': 3.6249451637268066, 'learning_rate': 5.2715827338129496e-05, 'epoch': 4.74} -{'loss': 0.4729, 'grad_norm': 3.8720543384552, 'learning_rate': 5.269784172661871e-05, 'epoch': 4.74} - 48%|████████████████████████████████████████████▋ | 2650/5570 [42:21<40:04, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4550498127937317, 'eval_runtime': 1.5617, 'eval_samples_per_second': 461.037, 'eval_steps_per_second': 3.842, 'epoch': 4.74} -{'loss': 0.45, 'grad_norm': 5.028148174285889, 'learning_rate': 5.267985611510792e-05, 'epoch': 4.74} -{'loss': 0.4494, 'grad_norm': 1.1277865171432495, 'learning_rate': 5.266187050359712e-05, 'epoch': 4.74} -{'loss': 0.4548, 'grad_norm': 1.4236000776290894, 'learning_rate': 5.2643884892086334e-05, 'epoch': 4.75} -{'loss': 0.4542, 'grad_norm': 2.0823171138763428, 'learning_rate': 5.262589928057554e-05, 'epoch': 4.75} -{'loss': 0.4499, 'grad_norm': 3.1390628814697266, 'learning_rate': 5.260791366906474e-05, 'epoch': 4.75} -{'loss': 0.4556, 'grad_norm': 2.569836139678955, 'learning_rate': 5.2589928057553964e-05, 'epoch': 4.75} -{'loss': 0.4647, 'grad_norm': 2.706753969192505, 'learning_rate': 5.2571942446043165e-05, 'epoch': 4.75} -{'loss': 0.4598, 'grad_norm': 4.71463680267334, 'learning_rate': 5.255395683453238e-05, 'epoch': 4.75} -{'loss': 0.4468, 'grad_norm': 3.9203481674194336, 'learning_rate': 5.253597122302159e-05, 'epoch': 4.76} -{'loss': 0.45, 'grad_norm': 2.0899429321289062, 'learning_rate': 5.251798561151079e-05, 'epoch': 4.76} - 48%|████████████████████████████████████████████▉ | 2660/5570 [42:31<39:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4521966576576233, 'eval_runtime': 1.5684, 'eval_samples_per_second': 459.058, 'eval_steps_per_second': 3.825, 'epoch': 4.76} -{'loss': 0.4501, 'grad_norm': 2.0869784355163574, 'learning_rate': 5.25e-05, 'epoch': 4.76} -{'loss': 0.4546, 'grad_norm': 4.03162145614624, 'learning_rate': 5.248201438848921e-05, 'epoch': 4.76} -{'loss': 0.4488, 'grad_norm': 2.3686625957489014, 'learning_rate': 5.2464028776978424e-05, 'epoch': 4.76} -{'loss': 0.4605, 'grad_norm': 2.434940814971924, 'learning_rate': 5.244604316546763e-05, 'epoch': 4.76} -{'loss': 0.4505, 'grad_norm': 2.0108163356781006, 'learning_rate': 5.242805755395683e-05, 'epoch': 4.77} -{'loss': 0.4562, 'grad_norm': 2.2861568927764893, 'learning_rate': 5.241007194244605e-05, 'epoch': 4.77} -{'loss': 0.464, 'grad_norm': 4.537680625915527, 'learning_rate': 5.2392086330935255e-05, 'epoch': 4.77} -{'loss': 0.4548, 'grad_norm': 2.4589860439300537, 'learning_rate': 5.237410071942447e-05, 'epoch': 4.77} -{'loss': 0.4659, 'grad_norm': 1.7194725275039673, 'learning_rate': 5.235611510791367e-05, 'epoch': 4.77} -{'loss': 0.4492, 'grad_norm': 3.839073419570923, 'learning_rate': 5.233812949640288e-05, 'epoch': 4.78} - 48%|█████████████████████████████████████████████ | 2670/5570 [42:41<39:58, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45447131991386414, 'eval_runtime': 1.5733, 'eval_samples_per_second': 457.65, 'eval_steps_per_second': 3.814, 'epoch': 4.78} -{'loss': 0.453, 'grad_norm': 2.700354814529419, 'learning_rate': 5.232014388489209e-05, 'epoch': 4.78} -{'loss': 0.4568, 'grad_norm': 1.8845607042312622, 'learning_rate': 5.2302158273381294e-05, 'epoch': 4.78} -{'loss': 0.4488, 'grad_norm': 1.920369267463684, 'learning_rate': 5.22841726618705e-05, 'epoch': 4.78} -{'loss': 0.4538, 'grad_norm': 1.584418773651123, 'learning_rate': 5.2266187050359716e-05, 'epoch': 4.78} -{'loss': 0.4514, 'grad_norm': 1.2173863649368286, 'learning_rate': 5.2248201438848924e-05, 'epoch': 4.78} -{'loss': 0.4707, 'grad_norm': 2.8178420066833496, 'learning_rate': 5.223021582733814e-05, 'epoch': 4.79} -{'loss': 0.4502, 'grad_norm': 1.242030382156372, 'learning_rate': 5.221223021582734e-05, 'epoch': 4.79} -{'loss': 0.4648, 'grad_norm': 1.8219107389450073, 'learning_rate': 5.219424460431655e-05, 'epoch': 4.79} -{'loss': 0.4492, 'grad_norm': 2.3293449878692627, 'learning_rate': 5.217625899280576e-05, 'epoch': 4.79} -{'loss': 0.4534, 'grad_norm': 1.569057822227478, 'learning_rate': 5.215827338129496e-05, 'epoch': 4.79} - 48%|█████████████████████████████████████████████▏ | 2680/5570 [42:50<39:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45089176297187805, 'eval_runtime': 1.5644, 'eval_samples_per_second': 460.255, 'eval_steps_per_second': 3.835, 'epoch': 4.79} -{'loss': 0.4519, 'grad_norm': 1.4531409740447998, 'learning_rate': 5.214028776978418e-05, 'epoch': 4.8} -{'loss': 0.4572, 'grad_norm': 3.8569753170013428, 'learning_rate': 5.2122302158273384e-05, 'epoch': 4.8} -{'loss': 0.4566, 'grad_norm': 2.7853527069091797, 'learning_rate': 5.2104316546762585e-05, 'epoch': 4.8} -{'loss': 0.4555, 'grad_norm': 1.5568596124649048, 'learning_rate': 5.2086330935251807e-05, 'epoch': 4.8} -{'loss': 0.4585, 'grad_norm': 1.0749634504318237, 'learning_rate': 5.206834532374101e-05, 'epoch': 4.8} -{'loss': 0.4626, 'grad_norm': 0.9548534154891968, 'learning_rate': 5.205035971223022e-05, 'epoch': 4.8} -{'loss': 0.4609, 'grad_norm': 2.8466551303863525, 'learning_rate': 5.203237410071943e-05, 'epoch': 4.81} -{'loss': 0.4555, 'grad_norm': 0.9728637933731079, 'learning_rate': 5.201438848920863e-05, 'epoch': 4.81} -{'loss': 0.4602, 'grad_norm': 3.9487156867980957, 'learning_rate': 5.1996402877697845e-05, 'epoch': 4.81} -{'loss': 0.4644, 'grad_norm': 1.5445940494537354, 'learning_rate': 5.197841726618705e-05, 'epoch': 4.81} - 48%|█████████████████████████████████████████████▍ | 2690/5570 [43:00<39:47, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4513297975063324, 'eval_runtime': 1.5619, 'eval_samples_per_second': 460.975, 'eval_steps_per_second': 3.841, 'epoch': 4.81} -{'loss': 0.4459, 'grad_norm': 1.250113844871521, 'learning_rate': 5.1960431654676254e-05, 'epoch': 4.81} -{'loss': 0.4514, 'grad_norm': 1.560360312461853, 'learning_rate': 5.194244604316547e-05, 'epoch': 4.82} -{'loss': 0.4473, 'grad_norm': 3.2117366790771484, 'learning_rate': 5.1924460431654676e-05, 'epoch': 4.82} -{'loss': 0.4574, 'grad_norm': 2.63307523727417, 'learning_rate': 5.190647482014389e-05, 'epoch': 4.82} -{'loss': 0.451, 'grad_norm': 0.8698947429656982, 'learning_rate': 5.18884892086331e-05, 'epoch': 4.82} -{'loss': 0.4525, 'grad_norm': 1.9799282550811768, 'learning_rate': 5.18705035971223e-05, 'epoch': 4.82} -{'loss': 0.4601, 'grad_norm': 1.3381588459014893, 'learning_rate': 5.1852517985611514e-05, 'epoch': 4.82} -{'loss': 0.4586, 'grad_norm': 1.579970359802246, 'learning_rate': 5.183453237410072e-05, 'epoch': 4.83} -{'loss': 0.4555, 'grad_norm': 3.119055986404419, 'learning_rate': 5.1816546762589936e-05, 'epoch': 4.83} -{'loss': 0.4525, 'grad_norm': 2.932392120361328, 'learning_rate': 5.179856115107914e-05, 'epoch': 4.83} - 48%|█████████████████████████████████████████████▌ | 2700/5570 [43:10<39:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4506264925003052, 'eval_runtime': 1.5684, 'eval_samples_per_second': 459.066, 'eval_steps_per_second': 3.826, 'epoch': 4.83} -{'loss': 0.4536, 'grad_norm': 1.5720398426055908, 'learning_rate': 5.1780575539568344e-05, 'epoch': 4.83} -{'loss': 0.4438, 'grad_norm': 2.7296173572540283, 'learning_rate': 5.176258992805756e-05, 'epoch': 4.83} -{'loss': 0.4513, 'grad_norm': 1.1939539909362793, 'learning_rate': 5.174460431654676e-05, 'epoch': 4.83} -{'loss': 0.4441, 'grad_norm': 3.121112823486328, 'learning_rate': 5.172661870503598e-05, 'epoch': 4.84} -{'loss': 0.4571, 'grad_norm': 2.7874414920806885, 'learning_rate': 5.170863309352518e-05, 'epoch': 4.84} -{'loss': 0.4661, 'grad_norm': 1.381633996963501, 'learning_rate': 5.169064748201439e-05, 'epoch': 4.84} -{'loss': 0.4485, 'grad_norm': 3.837306022644043, 'learning_rate': 5.1672661870503604e-05, 'epoch': 4.84} -{'loss': 0.4522, 'grad_norm': 0.9533485770225525, 'learning_rate': 5.1654676258992805e-05, 'epoch': 4.84} -{'loss': 0.4594, 'grad_norm': 2.2064497470855713, 'learning_rate': 5.163669064748202e-05, 'epoch': 4.85} -{'loss': 0.4581, 'grad_norm': 3.130784749984741, 'learning_rate': 5.161870503597123e-05, 'epoch': 4.85} - 49%|█████████████████████████████████████████████▋ | 2710/5570 [43:20<39:15, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45156145095825195, 'eval_runtime': 1.5841, 'eval_samples_per_second': 454.521, 'eval_steps_per_second': 3.788, 'epoch': 4.85} -{'loss': 0.4567, 'grad_norm': 1.8641903400421143, 'learning_rate': 5.160071942446043e-05, 'epoch': 4.85} -{'loss': 0.4503, 'grad_norm': 3.236074209213257, 'learning_rate': 5.158273381294965e-05, 'epoch': 4.85} -{'loss': 0.4527, 'grad_norm': 3.1309759616851807, 'learning_rate': 5.156474820143885e-05, 'epoch': 4.85} -{'loss': 0.4545, 'grad_norm': 3.2118093967437744, 'learning_rate': 5.154676258992806e-05, 'epoch': 4.85} -{'loss': 0.4488, 'grad_norm': 3.724557399749756, 'learning_rate': 5.152877697841727e-05, 'epoch': 4.86} -{'loss': 0.4599, 'grad_norm': 3.003652572631836, 'learning_rate': 5.1510791366906474e-05, 'epoch': 4.86} -{'loss': 0.4548, 'grad_norm': 2.6512606143951416, 'learning_rate': 5.149280575539569e-05, 'epoch': 4.86} -{'loss': 0.4531, 'grad_norm': 2.2227635383605957, 'learning_rate': 5.1474820143884896e-05, 'epoch': 4.86} -{'loss': 0.4471, 'grad_norm': 1.1950584650039673, 'learning_rate': 5.14568345323741e-05, 'epoch': 4.86} -{'loss': 0.4509, 'grad_norm': 1.4402291774749756, 'learning_rate': 5.143884892086331e-05, 'epoch': 4.87} - 49%|█████████████████████████████████████████████▉ | 2720/5570 [43:29<38:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4494205415248871, 'eval_runtime': 1.5683, 'eval_samples_per_second': 459.097, 'eval_steps_per_second': 3.826, 'epoch': 4.87} -{'loss': 0.4549, 'grad_norm': 1.2300119400024414, 'learning_rate': 5.142086330935252e-05, 'epoch': 4.87} -{'loss': 0.4449, 'grad_norm': 3.6243083477020264, 'learning_rate': 5.140287769784173e-05, 'epoch': 4.87} -{'loss': 0.456, 'grad_norm': 4.023606777191162, 'learning_rate': 5.138489208633094e-05, 'epoch': 4.87} -{'loss': 0.4562, 'grad_norm': 3.8522000312805176, 'learning_rate': 5.136690647482014e-05, 'epoch': 4.87} -{'loss': 0.47, 'grad_norm': 3.9935879707336426, 'learning_rate': 5.1348920863309357e-05, 'epoch': 4.87} -{'loss': 0.4447, 'grad_norm': 3.10377836227417, 'learning_rate': 5.1330935251798564e-05, 'epoch': 4.88} -{'loss': 0.4675, 'grad_norm': 3.499105930328369, 'learning_rate': 5.131294964028778e-05, 'epoch': 4.88} -{'loss': 0.4686, 'grad_norm': 4.713190078735352, 'learning_rate': 5.129496402877698e-05, 'epoch': 4.88} -{'loss': 0.466, 'grad_norm': 6.191630840301514, 'learning_rate': 5.127697841726619e-05, 'epoch': 4.88} -{'loss': 0.4553, 'grad_norm': 4.4126973152160645, 'learning_rate': 5.12589928057554e-05, 'epoch': 4.88} - 49%|██████████████████████████████████████████████ | 2730/5570 [43:39<38:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.452033668756485, 'eval_runtime': 1.5823, 'eval_samples_per_second': 455.033, 'eval_steps_per_second': 3.792, 'epoch': 4.88} -{'loss': 0.4601, 'grad_norm': 1.957401990890503, 'learning_rate': 5.12410071942446e-05, 'epoch': 4.89} -{'loss': 0.4483, 'grad_norm': 2.3635294437408447, 'learning_rate': 5.122302158273381e-05, 'epoch': 4.89} -{'loss': 0.4528, 'grad_norm': 3.219695568084717, 'learning_rate': 5.1205035971223025e-05, 'epoch': 4.89} -{'loss': 0.4534, 'grad_norm': 1.9407552480697632, 'learning_rate': 5.118705035971223e-05, 'epoch': 4.89} -{'loss': 0.4573, 'grad_norm': 1.4573241472244263, 'learning_rate': 5.116906474820145e-05, 'epoch': 4.89} -{'loss': 0.4602, 'grad_norm': 3.699753761291504, 'learning_rate': 5.115107913669065e-05, 'epoch': 4.89} -{'loss': 0.4538, 'grad_norm': 1.2032438516616821, 'learning_rate': 5.1133093525179856e-05, 'epoch': 4.9} -{'loss': 0.451, 'grad_norm': 2.110459566116333, 'learning_rate': 5.111510791366907e-05, 'epoch': 4.9} -{'loss': 0.4693, 'grad_norm': 1.6747417449951172, 'learning_rate': 5.109712230215827e-05, 'epoch': 4.9} -{'loss': 0.4581, 'grad_norm': 1.5299187898635864, 'learning_rate': 5.1079136690647486e-05, 'epoch': 4.9} - 49%|██████████████████████████████████████████████▏ | 2740/5570 [43:49<39:54, 1.18it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.449724018573761, 'eval_runtime': 1.578, 'eval_samples_per_second': 456.285, 'eval_steps_per_second': 3.802, 'epoch': 4.9} -{'loss': 0.4625, 'grad_norm': 2.5814132690429688, 'learning_rate': 5.1061151079136693e-05, 'epoch': 4.9} -{'loss': 0.4468, 'grad_norm': 2.4555037021636963, 'learning_rate': 5.1043165467625894e-05, 'epoch': 4.9} -{'loss': 0.4513, 'grad_norm': 1.520159363746643, 'learning_rate': 5.1025179856115116e-05, 'epoch': 4.91} -{'loss': 0.4501, 'grad_norm': 3.1909244060516357, 'learning_rate': 5.1007194244604317e-05, 'epoch': 4.91} -{'loss': 0.4588, 'grad_norm': 4.13964319229126, 'learning_rate': 5.098920863309353e-05, 'epoch': 4.91} -{'loss': 0.4528, 'grad_norm': 4.413576126098633, 'learning_rate': 5.097122302158274e-05, 'epoch': 4.91} -{'loss': 0.4556, 'grad_norm': 1.4537001848220825, 'learning_rate': 5.095323741007194e-05, 'epoch': 4.91} -{'loss': 0.4501, 'grad_norm': 1.2226529121398926, 'learning_rate': 5.0935251798561154e-05, 'epoch': 4.92} -{'loss': 0.4615, 'grad_norm': 2.682955741882324, 'learning_rate': 5.091726618705036e-05, 'epoch': 4.92} -{'loss': 0.4529, 'grad_norm': 3.627859354019165, 'learning_rate': 5.0899280575539576e-05, 'epoch': 4.92} - 49%|██████████████████████████████████████████████▍ | 2750/5570 [43:58<38:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45188871026039124, 'eval_runtime': 1.5416, 'eval_samples_per_second': 467.042, 'eval_steps_per_second': 3.892, 'epoch': 4.92} -{'loss': 0.4475, 'grad_norm': 3.1268129348754883, 'learning_rate': 5.088129496402878e-05, 'epoch': 4.92} -{'loss': 0.444, 'grad_norm': 1.8869609832763672, 'learning_rate': 5.0863309352517985e-05, 'epoch': 4.92} -{'loss': 0.4552, 'grad_norm': 2.068114757537842, 'learning_rate': 5.08453237410072e-05, 'epoch': 4.92} -{'loss': 0.4491, 'grad_norm': 2.4632787704467773, 'learning_rate': 5.082733812949641e-05, 'epoch': 4.93} -{'loss': 0.4504, 'grad_norm': 1.8359466791152954, 'learning_rate': 5.080935251798561e-05, 'epoch': 4.93} -{'loss': 0.451, 'grad_norm': 3.102830648422241, 'learning_rate': 5.079136690647482e-05, 'epoch': 4.93} -{'loss': 0.4367, 'grad_norm': 3.49792218208313, 'learning_rate': 5.077338129496403e-05, 'epoch': 4.93} -{'loss': 0.445, 'grad_norm': 2.3221352100372314, 'learning_rate': 5.0755395683453245e-05, 'epoch': 4.93} -{'loss': 0.4464, 'grad_norm': 3.3859658241271973, 'learning_rate': 5.0737410071942446e-05, 'epoch': 4.94} -{'loss': 0.4501, 'grad_norm': 5.676065921783447, 'learning_rate': 5.0719424460431653e-05, 'epoch': 4.94} - 50%|██████████████████████████████████████████████▌ | 2760/5570 [44:08<38:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4508780539035797, 'eval_runtime': 1.5426, 'eval_samples_per_second': 466.757, 'eval_steps_per_second': 3.89, 'epoch': 4.94} -{'loss': 0.4531, 'grad_norm': 4.707403182983398, 'learning_rate': 5.070143884892087e-05, 'epoch': 4.94} -{'loss': 0.4519, 'grad_norm': 1.6761598587036133, 'learning_rate': 5.0683453237410076e-05, 'epoch': 4.94} -{'loss': 0.457, 'grad_norm': 3.265399932861328, 'learning_rate': 5.066546762589929e-05, 'epoch': 4.94} -{'loss': 0.4507, 'grad_norm': 3.2893781661987305, 'learning_rate': 5.064748201438849e-05, 'epoch': 4.94} -{'loss': 0.451, 'grad_norm': 2.346097469329834, 'learning_rate': 5.06294964028777e-05, 'epoch': 4.95} -{'loss': 0.4462, 'grad_norm': 1.1045081615447998, 'learning_rate': 5.061151079136691e-05, 'epoch': 4.95} -{'loss': 0.4479, 'grad_norm': 2.692384958267212, 'learning_rate': 5.0593525179856114e-05, 'epoch': 4.95} -{'loss': 0.452, 'grad_norm': 2.5163557529449463, 'learning_rate': 5.057553956834533e-05, 'epoch': 4.95} -{'loss': 0.4471, 'grad_norm': 1.203703761100769, 'learning_rate': 5.0557553956834536e-05, 'epoch': 4.95} -{'loss': 0.4463, 'grad_norm': 1.3065577745437622, 'learning_rate': 5.053956834532374e-05, 'epoch': 4.96} - 50%|██████████████████████████████████████████████▋ | 2770/5570 [44:18<38:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.448019415140152, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.789, 'eval_steps_per_second': 3.915, 'epoch': 4.96} -{'loss': 0.4513, 'grad_norm': 1.9600862264633179, 'learning_rate': 5.052158273381296e-05, 'epoch': 4.96} -{'loss': 0.4472, 'grad_norm': 2.0138349533081055, 'learning_rate': 5.050359712230216e-05, 'epoch': 4.96} -{'loss': 0.4483, 'grad_norm': 1.71617591381073, 'learning_rate': 5.048561151079137e-05, 'epoch': 4.96} -{'loss': 0.4481, 'grad_norm': 1.6162054538726807, 'learning_rate': 5.046762589928058e-05, 'epoch': 4.96} -{'loss': 0.4646, 'grad_norm': 3.5540103912353516, 'learning_rate': 5.044964028776978e-05, 'epoch': 4.96} -{'loss': 0.4463, 'grad_norm': 1.7863426208496094, 'learning_rate': 5.0431654676259e-05, 'epoch': 4.97} -{'loss': 0.4565, 'grad_norm': 4.462852478027344, 'learning_rate': 5.0413669064748205e-05, 'epoch': 4.97} -{'loss': 0.452, 'grad_norm': 5.4206390380859375, 'learning_rate': 5.0395683453237406e-05, 'epoch': 4.97} -{'loss': 0.4485, 'grad_norm': 2.032872200012207, 'learning_rate': 5.037769784172662e-05, 'epoch': 4.97} -{'loss': 0.4476, 'grad_norm': 3.8380908966064453, 'learning_rate': 5.035971223021583e-05, 'epoch': 4.97} - 50%|██████████████████████████████████████████████▉ | 2780/5570 [44:27<38:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4525032341480255, 'eval_runtime': 1.5231, 'eval_samples_per_second': 472.734, 'eval_steps_per_second': 3.939, 'epoch': 4.97} -{'loss': 0.4484, 'grad_norm': 4.731131553649902, 'learning_rate': 5.034172661870504e-05, 'epoch': 4.97} -{'loss': 0.4542, 'grad_norm': 3.6474647521972656, 'learning_rate': 5.032374100719425e-05, 'epoch': 4.98} -{'loss': 0.4514, 'grad_norm': 2.308504104614258, 'learning_rate': 5.030575539568345e-05, 'epoch': 4.98} -{'loss': 0.4535, 'grad_norm': 5.581997871398926, 'learning_rate': 5.0287769784172666e-05, 'epoch': 4.98} -{'loss': 0.4603, 'grad_norm': 9.130267143249512, 'learning_rate': 5.026978417266187e-05, 'epoch': 4.98} -{'loss': 0.451, 'grad_norm': 4.305488586425781, 'learning_rate': 5.025179856115109e-05, 'epoch': 4.98} -{'loss': 0.4536, 'grad_norm': 1.6609652042388916, 'learning_rate': 5.023381294964029e-05, 'epoch': 4.99} -{'loss': 0.4497, 'grad_norm': 4.459982395172119, 'learning_rate': 5.0215827338129496e-05, 'epoch': 4.99} -{'loss': 0.4519, 'grad_norm': 4.193691730499268, 'learning_rate': 5.019784172661871e-05, 'epoch': 4.99} -{'loss': 0.4546, 'grad_norm': 5.589581489562988, 'learning_rate': 5.017985611510791e-05, 'epoch': 4.99} - 50%|███████████████████████████████████████████████ | 2790/5570 [44:36<36:26, 1.27it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44845572113990784, 'eval_runtime': 1.5384, 'eval_samples_per_second': 468.027, 'eval_steps_per_second': 3.9, 'epoch': 4.99} -{'loss': 0.4474, 'grad_norm': 1.6873679161071777, 'learning_rate': 5.016187050359712e-05, 'epoch': 4.99} -{'loss': 0.4583, 'grad_norm': 4.659576416015625, 'learning_rate': 5.0143884892086334e-05, 'epoch': 4.99} -{'loss': 0.4631, 'grad_norm': 6.586878776550293, 'learning_rate': 5.012589928057554e-05, 'epoch': 5.0} -{'loss': 0.4653, 'grad_norm': 6.589219093322754, 'learning_rate': 5.0107913669064756e-05, 'epoch': 5.0} -{'loss': 0.458, 'grad_norm': 2.1898410320281982, 'learning_rate': 5.008992805755396e-05, 'epoch': 5.0} -{'loss': 0.4526, 'grad_norm': 2.6617159843444824, 'learning_rate': 5.0071942446043165e-05, 'epoch': 5.0} -{'loss': 0.4534, 'grad_norm': 2.959235191345215, 'learning_rate': 5.005395683453238e-05, 'epoch': 5.0} -{'loss': 0.4518, 'grad_norm': 1.2304532527923584, 'learning_rate': 5.003597122302158e-05, 'epoch': 5.01} -{'loss': 0.4412, 'grad_norm': 2.62172794342041, 'learning_rate': 5.00179856115108e-05, 'epoch': 5.01} -{'loss': 0.4536, 'grad_norm': 1.500714659690857, 'learning_rate': 5e-05, 'epoch': 5.01} - 50%|███████████████████████████████████████████████▎ | 2800/5570 [44:46<37:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44828468561172485, 'eval_runtime': 1.569, 'eval_samples_per_second': 458.893, 'eval_steps_per_second': 3.824, 'epoch': 5.01} -{'loss': 0.4441, 'grad_norm': 3.082275152206421, 'learning_rate': 4.998201438848921e-05, 'epoch': 5.01} -{'loss': 0.4574, 'grad_norm': 4.535549163818359, 'learning_rate': 4.9964028776978425e-05, 'epoch': 5.01} -{'loss': 0.4509, 'grad_norm': 2.706848621368408, 'learning_rate': 4.9946043165467626e-05, 'epoch': 5.01} -{'loss': 0.4507, 'grad_norm': 2.4408769607543945, 'learning_rate': 4.992805755395683e-05, 'epoch': 5.02} -{'loss': 0.4509, 'grad_norm': 3.6119813919067383, 'learning_rate': 4.991007194244605e-05, 'epoch': 5.02} -{'loss': 0.4447, 'grad_norm': 1.9942623376846313, 'learning_rate': 4.9892086330935255e-05, 'epoch': 5.02} -{'loss': 0.4459, 'grad_norm': 1.6951348781585693, 'learning_rate': 4.987410071942446e-05, 'epoch': 5.02} -{'loss': 0.4551, 'grad_norm': 3.2249059677124023, 'learning_rate': 4.985611510791367e-05, 'epoch': 5.02} -{'loss': 0.4495, 'grad_norm': 4.4510016441345215, 'learning_rate': 4.983812949640288e-05, 'epoch': 5.03} -{'loss': 0.4541, 'grad_norm': 3.6380724906921387, 'learning_rate': 4.982014388489209e-05, 'epoch': 5.03} - 50%|███████████████████████████████████████████████▍ | 2810/5570 [44:55<37:52, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45191627740859985, 'eval_runtime': 1.555, 'eval_samples_per_second': 463.034, 'eval_steps_per_second': 3.859, 'epoch': 5.03} -{'loss': 0.4513, 'grad_norm': 2.3408279418945312, 'learning_rate': 4.98021582733813e-05, 'epoch': 5.03} -{'loss': 0.4508, 'grad_norm': 2.085779905319214, 'learning_rate': 4.97841726618705e-05, 'epoch': 5.03} -{'loss': 0.4551, 'grad_norm': 1.8953508138656616, 'learning_rate': 4.9766187050359716e-05, 'epoch': 5.03} -{'loss': 0.4502, 'grad_norm': 2.913339853286743, 'learning_rate': 4.9748201438848924e-05, 'epoch': 5.03} -{'loss': 0.4493, 'grad_norm': 3.4957737922668457, 'learning_rate': 4.973021582733813e-05, 'epoch': 5.04} -{'loss': 0.4441, 'grad_norm': 2.3166186809539795, 'learning_rate': 4.971223021582734e-05, 'epoch': 5.04} -{'loss': 0.4415, 'grad_norm': 2.5654847621917725, 'learning_rate': 4.969424460431655e-05, 'epoch': 5.04} -{'loss': 0.4484, 'grad_norm': 3.577418804168701, 'learning_rate': 4.9676258992805755e-05, 'epoch': 5.04} -{'loss': 0.4605, 'grad_norm': 3.5603652000427246, 'learning_rate': 4.965827338129497e-05, 'epoch': 5.04} -{'loss': 0.4417, 'grad_norm': 0.9861330986022949, 'learning_rate': 4.964028776978418e-05, 'epoch': 5.04} - 51%|███████████████████████████████████████████████▌ | 2820/5570 [45:05<37:45, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4497971534729004, 'eval_runtime': 1.5639, 'eval_samples_per_second': 460.383, 'eval_steps_per_second': 3.837, 'epoch': 5.04} -{'loss': 0.4548, 'grad_norm': 1.973117709159851, 'learning_rate': 4.9622302158273385e-05, 'epoch': 5.05} -{'loss': 0.4516, 'grad_norm': 2.7413477897644043, 'learning_rate': 4.960431654676259e-05, 'epoch': 5.05} -{'loss': 0.444, 'grad_norm': 4.82771635055542, 'learning_rate': 4.95863309352518e-05, 'epoch': 5.05} -{'loss': 0.4423, 'grad_norm': 1.2013691663742065, 'learning_rate': 4.9568345323741015e-05, 'epoch': 5.05} -{'loss': 0.4577, 'grad_norm': 3.1172096729278564, 'learning_rate': 4.9550359712230215e-05, 'epoch': 5.05} -{'loss': 0.4563, 'grad_norm': 2.8323795795440674, 'learning_rate': 4.953237410071942e-05, 'epoch': 5.06} -{'loss': 0.4528, 'grad_norm': 3.2741801738739014, 'learning_rate': 4.951438848920864e-05, 'epoch': 5.06} -{'loss': 0.4435, 'grad_norm': 1.1228439807891846, 'learning_rate': 4.9496402877697845e-05, 'epoch': 5.06} -{'loss': 0.4496, 'grad_norm': 2.842965602874756, 'learning_rate': 4.947841726618705e-05, 'epoch': 5.06} -{'loss': 0.4531, 'grad_norm': 5.256083011627197, 'learning_rate': 4.946043165467626e-05, 'epoch': 5.06} - 51%|███████████████████████████████████████████████▊ | 2830/5570 [45:15<37:56, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45230934023857117, 'eval_runtime': 1.5788, 'eval_samples_per_second': 456.028, 'eval_steps_per_second': 3.8, 'epoch': 5.06} -{'loss': 0.452, 'grad_norm': 3.1652493476867676, 'learning_rate': 4.944244604316547e-05, 'epoch': 5.06} -{'loss': 0.4525, 'grad_norm': 2.621764898300171, 'learning_rate': 4.9424460431654676e-05, 'epoch': 5.07} -{'loss': 0.445, 'grad_norm': 2.561652898788452, 'learning_rate': 4.940647482014389e-05, 'epoch': 5.07} -{'loss': 0.4523, 'grad_norm': 1.9799712896347046, 'learning_rate': 4.93884892086331e-05, 'epoch': 5.07} -{'loss': 0.4432, 'grad_norm': 2.985175132751465, 'learning_rate': 4.9370503597122306e-05, 'epoch': 5.07} -{'loss': 0.4477, 'grad_norm': 1.8579217195510864, 'learning_rate': 4.9352517985611514e-05, 'epoch': 5.07} -{'loss': 0.4496, 'grad_norm': 2.384047508239746, 'learning_rate': 4.933453237410072e-05, 'epoch': 5.08} -{'loss': 0.4444, 'grad_norm': 1.318784475326538, 'learning_rate': 4.931654676258993e-05, 'epoch': 5.08} -{'loss': 0.4554, 'grad_norm': 2.9512531757354736, 'learning_rate': 4.929856115107914e-05, 'epoch': 5.08} -{'loss': 0.4487, 'grad_norm': 2.3422446250915527, 'learning_rate': 4.9280575539568345e-05, 'epoch': 5.08} - 51%|███████████████████████████████████████████████▉ | 2840/5570 [45:25<37:36, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4482545256614685, 'eval_runtime': 1.5961, 'eval_samples_per_second': 451.105, 'eval_steps_per_second': 3.759, 'epoch': 5.08} -{'loss': 0.4503, 'grad_norm': 2.2684133052825928, 'learning_rate': 4.926258992805756e-05, 'epoch': 5.08} -{'loss': 0.4489, 'grad_norm': 2.9850666522979736, 'learning_rate': 4.924460431654677e-05, 'epoch': 5.08} -{'loss': 0.4521, 'grad_norm': 2.6127188205718994, 'learning_rate': 4.9226618705035975e-05, 'epoch': 5.09} -{'loss': 0.451, 'grad_norm': 1.6227089166641235, 'learning_rate': 4.920863309352518e-05, 'epoch': 5.09} -{'loss': 0.4544, 'grad_norm': 0.9270498156547546, 'learning_rate': 4.919064748201439e-05, 'epoch': 5.09} -{'loss': 0.4473, 'grad_norm': 3.9612412452697754, 'learning_rate': 4.91726618705036e-05, 'epoch': 5.09} -{'loss': 0.4425, 'grad_norm': 3.0501890182495117, 'learning_rate': 4.915467625899281e-05, 'epoch': 5.09} -{'loss': 0.4469, 'grad_norm': 1.562404990196228, 'learning_rate': 4.913669064748201e-05, 'epoch': 5.1} -{'loss': 0.4492, 'grad_norm': 3.1270527839660645, 'learning_rate': 4.911870503597123e-05, 'epoch': 5.1} -{'loss': 0.4444, 'grad_norm': 0.8428918719291687, 'learning_rate': 4.9100719424460435e-05, 'epoch': 5.1} - 51%|████████████████████████████████████████████████ | 2850/5570 [45:34<37:27, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44969749450683594, 'eval_runtime': 1.5591, 'eval_samples_per_second': 461.805, 'eval_steps_per_second': 3.848, 'epoch': 5.1} -{'loss': 0.4504, 'grad_norm': 5.224034786224365, 'learning_rate': 4.908273381294964e-05, 'epoch': 5.1} -{'loss': 0.4483, 'grad_norm': 2.794649600982666, 'learning_rate': 4.906474820143885e-05, 'epoch': 5.1} -{'loss': 0.4585, 'grad_norm': 2.875194549560547, 'learning_rate': 4.904676258992806e-05, 'epoch': 5.1} -{'loss': 0.46, 'grad_norm': 4.946884632110596, 'learning_rate': 4.9028776978417266e-05, 'epoch': 5.11} -{'loss': 0.4515, 'grad_norm': 4.833479881286621, 'learning_rate': 4.901079136690648e-05, 'epoch': 5.11} -{'loss': 0.4469, 'grad_norm': 2.7767982482910156, 'learning_rate': 4.899280575539569e-05, 'epoch': 5.11} -{'loss': 0.45, 'grad_norm': 4.434398174285889, 'learning_rate': 4.897482014388489e-05, 'epoch': 5.11} -{'loss': 0.4565, 'grad_norm': 6.131552219390869, 'learning_rate': 4.8956834532374104e-05, 'epoch': 5.11} -{'loss': 0.456, 'grad_norm': 5.294685363769531, 'learning_rate': 4.893884892086331e-05, 'epoch': 5.11} -{'loss': 0.4496, 'grad_norm': 0.7831131219863892, 'learning_rate': 4.892086330935252e-05, 'epoch': 5.12} - 51%|████████████████████████████████████████████████▎ | 2860/5570 [45:44<37:04, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4534826874732971, 'eval_runtime': 1.56, 'eval_samples_per_second': 461.524, 'eval_steps_per_second': 3.846, 'epoch': 5.12} -{'loss': 0.4531, 'grad_norm': 6.432485580444336, 'learning_rate': 4.8902877697841734e-05, 'epoch': 5.12} -{'loss': 0.4471, 'grad_norm': 6.463716983795166, 'learning_rate': 4.8884892086330935e-05, 'epoch': 5.12} -{'loss': 0.4467, 'grad_norm': 3.1473019123077393, 'learning_rate': 4.886690647482014e-05, 'epoch': 5.12} -{'loss': 0.4527, 'grad_norm': 2.397120714187622, 'learning_rate': 4.884892086330936e-05, 'epoch': 5.12} -{'loss': 0.4431, 'grad_norm': 3.3374369144439697, 'learning_rate': 4.8830935251798564e-05, 'epoch': 5.13} -{'loss': 0.4419, 'grad_norm': 2.5334410667419434, 'learning_rate': 4.881294964028777e-05, 'epoch': 5.13} -{'loss': 0.4519, 'grad_norm': 2.3248541355133057, 'learning_rate': 4.879496402877698e-05, 'epoch': 5.13} -{'loss': 0.456, 'grad_norm': 4.529498100280762, 'learning_rate': 4.877697841726619e-05, 'epoch': 5.13} -{'loss': 0.4496, 'grad_norm': 3.849172830581665, 'learning_rate': 4.87589928057554e-05, 'epoch': 5.13} -{'loss': 0.4459, 'grad_norm': 1.4312039613723755, 'learning_rate': 4.874100719424461e-05, 'epoch': 5.13} - 52%|████████████████████████████████████████████████▍ | 2870/5570 [45:54<36:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44931331276893616, 'eval_runtime': 1.5569, 'eval_samples_per_second': 462.453, 'eval_steps_per_second': 3.854, 'epoch': 5.13} -{'loss': 0.4531, 'grad_norm': 3.299912452697754, 'learning_rate': 4.872302158273381e-05, 'epoch': 5.14} -{'loss': 0.452, 'grad_norm': 2.363661527633667, 'learning_rate': 4.8705035971223025e-05, 'epoch': 5.14} -{'loss': 0.4444, 'grad_norm': 2.762087345123291, 'learning_rate': 4.868705035971223e-05, 'epoch': 5.14} -{'loss': 0.4554, 'grad_norm': 3.0881385803222656, 'learning_rate': 4.866906474820144e-05, 'epoch': 5.14} -{'loss': 0.4463, 'grad_norm': 1.8384121656417847, 'learning_rate': 4.865107913669065e-05, 'epoch': 5.14} -{'loss': 0.4495, 'grad_norm': 3.227630853652954, 'learning_rate': 4.8633093525179856e-05, 'epoch': 5.15} -{'loss': 0.4543, 'grad_norm': 3.379293441772461, 'learning_rate': 4.8615107913669064e-05, 'epoch': 5.15} -{'loss': 0.4472, 'grad_norm': 1.9642255306243896, 'learning_rate': 4.859712230215828e-05, 'epoch': 5.15} -{'loss': 0.4491, 'grad_norm': 3.561185121536255, 'learning_rate': 4.8579136690647486e-05, 'epoch': 5.15} -{'loss': 0.4548, 'grad_norm': 3.799271583557129, 'learning_rate': 4.8561151079136694e-05, 'epoch': 5.15} - 52%|████████████████████████████████████████████████▌ | 2880/5570 [46:03<37:03, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4506572186946869, 'eval_runtime': 1.5646, 'eval_samples_per_second': 460.194, 'eval_steps_per_second': 3.835, 'epoch': 5.15} -{'loss': 0.4447, 'grad_norm': 2.1367275714874268, 'learning_rate': 4.85431654676259e-05, 'epoch': 5.15} -{'loss': 0.4446, 'grad_norm': 1.4386787414550781, 'learning_rate': 4.852517985611511e-05, 'epoch': 5.16} -{'loss': 0.4433, 'grad_norm': 2.1291491985321045, 'learning_rate': 4.8507194244604324e-05, 'epoch': 5.16} -{'loss': 0.45, 'grad_norm': 2.9378490447998047, 'learning_rate': 4.848920863309353e-05, 'epoch': 5.16} -{'loss': 0.452, 'grad_norm': 3.380042552947998, 'learning_rate': 4.847122302158273e-05, 'epoch': 5.16} -{'loss': 0.4543, 'grad_norm': 1.880697250366211, 'learning_rate': 4.845323741007195e-05, 'epoch': 5.16} -{'loss': 0.4566, 'grad_norm': 3.8452095985412598, 'learning_rate': 4.8435251798561154e-05, 'epoch': 5.17} -{'loss': 0.4513, 'grad_norm': 3.5780844688415527, 'learning_rate': 4.841726618705036e-05, 'epoch': 5.17} -{'loss': 0.4406, 'grad_norm': 1.5033612251281738, 'learning_rate': 4.839928057553957e-05, 'epoch': 5.17} -{'loss': 0.4388, 'grad_norm': 3.8813040256500244, 'learning_rate': 4.838129496402878e-05, 'epoch': 5.17} - 52%|████████████████████████████████████████████████▊ | 2890/5570 [46:13<36:25, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45503607392311096, 'eval_runtime': 1.56, 'eval_samples_per_second': 461.538, 'eval_steps_per_second': 3.846, 'epoch': 5.17} -{'loss': 0.4614, 'grad_norm': 7.111029148101807, 'learning_rate': 4.8363309352517985e-05, 'epoch': 5.17} -{'loss': 0.4385, 'grad_norm': 3.019820213317871, 'learning_rate': 4.83453237410072e-05, 'epoch': 5.17} -{'loss': 0.4501, 'grad_norm': 2.1061716079711914, 'learning_rate': 4.832733812949641e-05, 'epoch': 5.18} -{'loss': 0.4585, 'grad_norm': 6.419224739074707, 'learning_rate': 4.8309352517985615e-05, 'epoch': 5.18} -{'loss': 0.4568, 'grad_norm': 7.707516670227051, 'learning_rate': 4.829136690647482e-05, 'epoch': 5.18} -{'loss': 0.4622, 'grad_norm': 5.040036201477051, 'learning_rate': 4.827338129496403e-05, 'epoch': 5.18} -{'loss': 0.4575, 'grad_norm': 3.476616621017456, 'learning_rate': 4.8255395683453245e-05, 'epoch': 5.18} -{'loss': 0.4514, 'grad_norm': 5.957439422607422, 'learning_rate': 4.8237410071942446e-05, 'epoch': 5.18} -{'loss': 0.4545, 'grad_norm': 6.452147006988525, 'learning_rate': 4.8219424460431654e-05, 'epoch': 5.19} -{'loss': 0.4474, 'grad_norm': 4.511864185333252, 'learning_rate': 4.820143884892087e-05, 'epoch': 5.19} - 52%|████████████████████████████████████████████████▉ | 2900/5570 [46:23<36:41, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4506898522377014, 'eval_runtime': 1.5685, 'eval_samples_per_second': 459.031, 'eval_steps_per_second': 3.825, 'epoch': 5.19} -{'loss': 0.4566, 'grad_norm': 3.098949909210205, 'learning_rate': 4.8183453237410076e-05, 'epoch': 5.19} -{'loss': 0.4505, 'grad_norm': 5.516057014465332, 'learning_rate': 4.8165467625899284e-05, 'epoch': 5.19} -{'loss': 0.4637, 'grad_norm': 7.032359600067139, 'learning_rate': 4.814748201438849e-05, 'epoch': 5.19} -{'loss': 0.4548, 'grad_norm': 6.900344371795654, 'learning_rate': 4.81294964028777e-05, 'epoch': 5.2} -{'loss': 0.4558, 'grad_norm': 4.694751262664795, 'learning_rate': 4.811151079136691e-05, 'epoch': 5.2} -{'loss': 0.4517, 'grad_norm': 2.7149808406829834, 'learning_rate': 4.809352517985612e-05, 'epoch': 5.2} -{'loss': 0.4477, 'grad_norm': 3.3767549991607666, 'learning_rate': 4.807553956834532e-05, 'epoch': 5.2} -{'loss': 0.4551, 'grad_norm': 2.970867395401001, 'learning_rate': 4.8057553956834537e-05, 'epoch': 5.2} -{'loss': 0.4496, 'grad_norm': 1.4253028631210327, 'learning_rate': 4.8039568345323744e-05, 'epoch': 5.2} -{'loss': 0.4459, 'grad_norm': 1.6976748704910278, 'learning_rate': 4.802158273381295e-05, 'epoch': 5.21} - 52%|█████████████████████████████████████████████████ | 2910/5570 [46:32<36:29, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4486084282398224, 'eval_runtime': 1.5552, 'eval_samples_per_second': 462.965, 'eval_steps_per_second': 3.858, 'epoch': 5.21} -{'loss': 0.4446, 'grad_norm': 2.4744019508361816, 'learning_rate': 4.800359712230216e-05, 'epoch': 5.21} -{'loss': 0.4459, 'grad_norm': 1.489161729812622, 'learning_rate': 4.798561151079137e-05, 'epoch': 5.21} -{'loss': 0.4415, 'grad_norm': 1.387399435043335, 'learning_rate': 4.7967625899280575e-05, 'epoch': 5.21} -{'loss': 0.4353, 'grad_norm': 2.746194839477539, 'learning_rate': 4.794964028776979e-05, 'epoch': 5.21} -{'loss': 0.4523, 'grad_norm': 2.175041913986206, 'learning_rate': 4.7931654676259e-05, 'epoch': 5.22} -{'loss': 0.4513, 'grad_norm': 2.351003885269165, 'learning_rate': 4.79136690647482e-05, 'epoch': 5.22} -{'loss': 0.4531, 'grad_norm': 4.825506210327148, 'learning_rate': 4.789568345323741e-05, 'epoch': 5.22} -{'loss': 0.4421, 'grad_norm': 2.3875937461853027, 'learning_rate': 4.787769784172662e-05, 'epoch': 5.22} -{'loss': 0.4359, 'grad_norm': 0.765001118183136, 'learning_rate': 4.785971223021583e-05, 'epoch': 5.22} -{'loss': 0.4347, 'grad_norm': 1.4579920768737793, 'learning_rate': 4.784172661870504e-05, 'epoch': 5.22} - 52%|█████████████████████████████████████████████████▎ | 2920/5570 [46:42<36:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4486962556838989, 'eval_runtime': 1.5285, 'eval_samples_per_second': 471.04, 'eval_steps_per_second': 3.925, 'epoch': 5.22} -{'loss': 0.4496, 'grad_norm': 2.00974702835083, 'learning_rate': 4.7823741007194244e-05, 'epoch': 5.23} -{'loss': 0.4575, 'grad_norm': 1.8736826181411743, 'learning_rate': 4.780575539568346e-05, 'epoch': 5.23} -{'loss': 0.4449, 'grad_norm': 2.237384080886841, 'learning_rate': 4.7787769784172666e-05, 'epoch': 5.23} -{'loss': 0.4381, 'grad_norm': 1.9866999387741089, 'learning_rate': 4.7769784172661873e-05, 'epoch': 5.23} -{'loss': 0.4436, 'grad_norm': 2.799853563308716, 'learning_rate': 4.775179856115108e-05, 'epoch': 5.23} -{'loss': 0.4385, 'grad_norm': 2.1445250511169434, 'learning_rate': 4.773381294964029e-05, 'epoch': 5.24} -{'loss': 0.4487, 'grad_norm': 2.1315391063690186, 'learning_rate': 4.7715827338129497e-05, 'epoch': 5.24} -{'loss': 0.4369, 'grad_norm': 1.499570369720459, 'learning_rate': 4.769784172661871e-05, 'epoch': 5.24} -{'loss': 0.4406, 'grad_norm': 2.965937376022339, 'learning_rate': 4.767985611510792e-05, 'epoch': 5.24} -{'loss': 0.4479, 'grad_norm': 2.3833394050598145, 'learning_rate': 4.766187050359712e-05, 'epoch': 5.24} - 53%|█████████████████████████████████████████████████▍ | 2930/5570 [46:51<35:55, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45269715785980225, 'eval_runtime': 1.5295, 'eval_samples_per_second': 470.744, 'eval_steps_per_second': 3.923, 'epoch': 5.24} -{'loss': 0.4475, 'grad_norm': 1.7241597175598145, 'learning_rate': 4.7643884892086334e-05, 'epoch': 5.24} -{'loss': 0.4438, 'grad_norm': 1.9477016925811768, 'learning_rate': 4.762589928057554e-05, 'epoch': 5.25} -{'loss': 0.4402, 'grad_norm': 2.6540486812591553, 'learning_rate': 4.760791366906475e-05, 'epoch': 5.25} -{'loss': 0.4547, 'grad_norm': 3.402911424636841, 'learning_rate': 4.7589928057553964e-05, 'epoch': 5.25} -{'loss': 0.4489, 'grad_norm': 3.157212257385254, 'learning_rate': 4.7571942446043165e-05, 'epoch': 5.25} -{'loss': 0.4512, 'grad_norm': 3.0261385440826416, 'learning_rate': 4.755395683453237e-05, 'epoch': 5.25} -{'loss': 0.4476, 'grad_norm': 2.5799648761749268, 'learning_rate': 4.753597122302159e-05, 'epoch': 5.25} -{'loss': 0.4449, 'grad_norm': 1.8360658884048462, 'learning_rate': 4.7517985611510795e-05, 'epoch': 5.26} -{'loss': 0.4508, 'grad_norm': 2.810882568359375, 'learning_rate': 4.75e-05, 'epoch': 5.26} -{'loss': 0.4559, 'grad_norm': 4.924759387969971, 'learning_rate': 4.748201438848921e-05, 'epoch': 5.26} - 53%|█████████████████████████████████████████████████▌ | 2940/5570 [47:01<35:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4507877826690674, 'eval_runtime': 1.5318, 'eval_samples_per_second': 470.045, 'eval_steps_per_second': 3.917, 'epoch': 5.26} -{'loss': 0.4571, 'grad_norm': 4.258430480957031, 'learning_rate': 4.746402877697842e-05, 'epoch': 5.26} -{'loss': 0.4493, 'grad_norm': 1.2257107496261597, 'learning_rate': 4.744604316546763e-05, 'epoch': 5.26} -{'loss': 0.4508, 'grad_norm': 4.488507270812988, 'learning_rate': 4.742805755395684e-05, 'epoch': 5.27} -{'loss': 0.4597, 'grad_norm': 6.301705360412598, 'learning_rate': 4.741007194244604e-05, 'epoch': 5.27} -{'loss': 0.4601, 'grad_norm': 3.2562410831451416, 'learning_rate': 4.7392086330935256e-05, 'epoch': 5.27} -{'loss': 0.4505, 'grad_norm': 2.93973970413208, 'learning_rate': 4.737410071942446e-05, 'epoch': 5.27} -{'loss': 0.4538, 'grad_norm': 2.6991233825683594, 'learning_rate': 4.735611510791367e-05, 'epoch': 5.27} -{'loss': 0.4423, 'grad_norm': 1.786475419998169, 'learning_rate': 4.733812949640288e-05, 'epoch': 5.27} -{'loss': 0.4393, 'grad_norm': 0.8081591129302979, 'learning_rate': 4.7320143884892086e-05, 'epoch': 5.28} -{'loss': 0.4439, 'grad_norm': 2.0733237266540527, 'learning_rate': 4.7302158273381294e-05, 'epoch': 5.28} - 53%|█████████████████████████████████████████████████▊ | 2950/5570 [47:10<35:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44817855954170227, 'eval_runtime': 1.5346, 'eval_samples_per_second': 469.177, 'eval_steps_per_second': 3.91, 'epoch': 5.28} -{'loss': 0.4561, 'grad_norm': 2.1605052947998047, 'learning_rate': 4.728417266187051e-05, 'epoch': 5.28} -{'loss': 0.4611, 'grad_norm': 3.947587728500366, 'learning_rate': 4.7266187050359716e-05, 'epoch': 5.28} -{'loss': 0.4546, 'grad_norm': 2.570667028427124, 'learning_rate': 4.7248201438848924e-05, 'epoch': 5.28} -{'loss': 0.4513, 'grad_norm': 2.128992795944214, 'learning_rate': 4.723021582733813e-05, 'epoch': 5.29} -{'loss': 0.4582, 'grad_norm': 4.30819034576416, 'learning_rate': 4.721223021582734e-05, 'epoch': 5.29} -{'loss': 0.453, 'grad_norm': 2.415160655975342, 'learning_rate': 4.7194244604316554e-05, 'epoch': 5.29} -{'loss': 0.4453, 'grad_norm': 1.3892862796783447, 'learning_rate': 4.7176258992805755e-05, 'epoch': 5.29} -{'loss': 0.4451, 'grad_norm': 3.421257972717285, 'learning_rate': 4.715827338129496e-05, 'epoch': 5.29} -{'loss': 0.4563, 'grad_norm': 2.387212038040161, 'learning_rate': 4.714028776978418e-05, 'epoch': 5.29} -{'loss': 0.4543, 'grad_norm': 2.514634132385254, 'learning_rate': 4.7122302158273385e-05, 'epoch': 5.3} - 53%|█████████████████████████████████████████████████▉ | 2960/5570 [47:20<35:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45007240772247314, 'eval_runtime': 1.5543, 'eval_samples_per_second': 463.23, 'eval_steps_per_second': 3.86, 'epoch': 5.3} -{'loss': 0.4465, 'grad_norm': 1.5403856039047241, 'learning_rate': 4.710431654676259e-05, 'epoch': 5.3} -{'loss': 0.4448, 'grad_norm': 2.1245720386505127, 'learning_rate': 4.70863309352518e-05, 'epoch': 5.3} -{'loss': 0.4557, 'grad_norm': 3.544381856918335, 'learning_rate': 4.706834532374101e-05, 'epoch': 5.3} -{'loss': 0.4389, 'grad_norm': 1.567626953125, 'learning_rate': 4.7050359712230216e-05, 'epoch': 5.3} -{'loss': 0.4569, 'grad_norm': 4.80870246887207, 'learning_rate': 4.703237410071943e-05, 'epoch': 5.31} -{'loss': 0.4589, 'grad_norm': 5.646411895751953, 'learning_rate': 4.701438848920863e-05, 'epoch': 5.31} -{'loss': 0.459, 'grad_norm': 3.895909070968628, 'learning_rate': 4.6996402877697846e-05, 'epoch': 5.31} -{'loss': 0.4554, 'grad_norm': 2.3544921875, 'learning_rate': 4.697841726618705e-05, 'epoch': 5.31} -{'loss': 0.4403, 'grad_norm': 2.4430389404296875, 'learning_rate': 4.696043165467626e-05, 'epoch': 5.31} -{'loss': 0.4488, 'grad_norm': 5.734048843383789, 'learning_rate': 4.6942446043165475e-05, 'epoch': 5.31} - 53%|██████████████████████████████████████████████████ | 2970/5570 [47:30<35:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4556528627872467, 'eval_runtime': 1.5349, 'eval_samples_per_second': 469.08, 'eval_steps_per_second': 3.909, 'epoch': 5.31} -{'loss': 0.4498, 'grad_norm': 4.0542707443237305, 'learning_rate': 4.6924460431654676e-05, 'epoch': 5.32} -{'loss': 0.4537, 'grad_norm': 3.3170995712280273, 'learning_rate': 4.6906474820143884e-05, 'epoch': 5.32} -{'loss': 0.4458, 'grad_norm': 5.277047634124756, 'learning_rate': 4.68884892086331e-05, 'epoch': 5.32} -{'loss': 0.4492, 'grad_norm': 2.970175266265869, 'learning_rate': 4.6870503597122306e-05, 'epoch': 5.32} -{'loss': 0.4392, 'grad_norm': 3.5456409454345703, 'learning_rate': 4.685251798561151e-05, 'epoch': 5.32} -{'loss': 0.4503, 'grad_norm': 4.969152450561523, 'learning_rate': 4.683453237410072e-05, 'epoch': 5.32} -{'loss': 0.4496, 'grad_norm': 4.538086891174316, 'learning_rate': 4.681654676258993e-05, 'epoch': 5.33} -{'loss': 0.4461, 'grad_norm': 3.196781873703003, 'learning_rate': 4.679856115107914e-05, 'epoch': 5.33} -{'loss': 0.4476, 'grad_norm': 3.9367175102233887, 'learning_rate': 4.678057553956835e-05, 'epoch': 5.33} -{'loss': 0.4513, 'grad_norm': 4.877225875854492, 'learning_rate': 4.676258992805755e-05, 'epoch': 5.33} - 54%|██████████████████████████████████████████████████▎ | 2980/5570 [47:39<35:30, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44735607504844666, 'eval_runtime': 1.5279, 'eval_samples_per_second': 471.236, 'eval_steps_per_second': 3.927, 'epoch': 5.33} -{'loss': 0.4452, 'grad_norm': 1.929774522781372, 'learning_rate': 4.674460431654677e-05, 'epoch': 5.33} -{'loss': 0.4468, 'grad_norm': 2.379422187805176, 'learning_rate': 4.6726618705035975e-05, 'epoch': 5.34} -{'loss': 0.444, 'grad_norm': 3.551354169845581, 'learning_rate': 4.670863309352518e-05, 'epoch': 5.34} -{'loss': 0.446, 'grad_norm': 1.579849123954773, 'learning_rate': 4.669064748201439e-05, 'epoch': 5.34} -{'loss': 0.4477, 'grad_norm': 1.9928524494171143, 'learning_rate': 4.66726618705036e-05, 'epoch': 5.34} -{'loss': 0.4459, 'grad_norm': 2.248771905899048, 'learning_rate': 4.6654676258992806e-05, 'epoch': 5.34} -{'loss': 0.4466, 'grad_norm': 2.713925361633301, 'learning_rate': 4.663669064748202e-05, 'epoch': 5.34} -{'loss': 0.4505, 'grad_norm': 3.666104793548584, 'learning_rate': 4.661870503597123e-05, 'epoch': 5.35} -{'loss': 0.4498, 'grad_norm': 1.942565679550171, 'learning_rate': 4.660071942446043e-05, 'epoch': 5.35} -{'loss': 0.4568, 'grad_norm': 3.644115924835205, 'learning_rate': 4.658273381294964e-05, 'epoch': 5.35} - 54%|██████████████████████████████████████████████████▍ | 2990/5570 [47:49<35:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4505020081996918, 'eval_runtime': 1.5514, 'eval_samples_per_second': 464.085, 'eval_steps_per_second': 3.867, 'epoch': 5.35} -{'loss': 0.4452, 'grad_norm': 3.9816784858703613, 'learning_rate': 4.656474820143885e-05, 'epoch': 5.35} -{'loss': 0.4557, 'grad_norm': 3.0576817989349365, 'learning_rate': 4.654676258992806e-05, 'epoch': 5.35} -{'loss': 0.4437, 'grad_norm': 3.1633834838867188, 'learning_rate': 4.652877697841727e-05, 'epoch': 5.36} -{'loss': 0.4497, 'grad_norm': 5.234607696533203, 'learning_rate': 4.6510791366906474e-05, 'epoch': 5.36} -{'loss': 0.4502, 'grad_norm': 2.5872793197631836, 'learning_rate': 4.649280575539569e-05, 'epoch': 5.36} -{'loss': 0.4401, 'grad_norm': 1.1015980243682861, 'learning_rate': 4.6474820143884896e-05, 'epoch': 5.36} -{'loss': 0.4442, 'grad_norm': 3.6087112426757812, 'learning_rate': 4.6456834532374104e-05, 'epoch': 5.36} -{'loss': 0.437, 'grad_norm': 4.759284496307373, 'learning_rate': 4.643884892086331e-05, 'epoch': 5.36} -{'loss': 0.4525, 'grad_norm': 4.5463738441467285, 'learning_rate': 4.642086330935252e-05, 'epoch': 5.37} -{'loss': 0.4443, 'grad_norm': 3.3800971508026123, 'learning_rate': 4.640287769784173e-05, 'epoch': 5.37} - 54%|██████████████████████████████████████████████████▋ | 3000/5570 [47:59<35:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4529854953289032, 'eval_runtime': 1.5252, 'eval_samples_per_second': 472.069, 'eval_steps_per_second': 3.934, 'epoch': 5.37} -{'loss': 0.445, 'grad_norm': 6.530372142791748, 'learning_rate': 4.638489208633094e-05, 'epoch': 5.37} -{'loss': 0.4558, 'grad_norm': 8.992410659790039, 'learning_rate': 4.636690647482015e-05, 'epoch': 5.37} -{'loss': 0.4612, 'grad_norm': 8.01870346069336, 'learning_rate': 4.634892086330935e-05, 'epoch': 5.37} -{'loss': 0.4552, 'grad_norm': 5.404683589935303, 'learning_rate': 4.6330935251798565e-05, 'epoch': 5.38} -{'loss': 0.4482, 'grad_norm': 1.9118614196777344, 'learning_rate': 4.631294964028777e-05, 'epoch': 5.38} -{'loss': 0.4633, 'grad_norm': 4.360605239868164, 'learning_rate': 4.629496402877698e-05, 'epoch': 5.38} -{'loss': 0.4603, 'grad_norm': 5.603665828704834, 'learning_rate': 4.627697841726619e-05, 'epoch': 5.38} -{'loss': 0.4542, 'grad_norm': 5.141304969787598, 'learning_rate': 4.6258992805755395e-05, 'epoch': 5.38} -{'loss': 0.4431, 'grad_norm': 2.2929084300994873, 'learning_rate': 4.624100719424461e-05, 'epoch': 5.38} -{'loss': 0.4423, 'grad_norm': 1.633209228515625, 'learning_rate': 4.622302158273382e-05, 'epoch': 5.39} - 54%|██████████████████████████████████████████████████▊ | 3010/5570 [48:08<34:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44990259408950806, 'eval_runtime': 1.5314, 'eval_samples_per_second': 470.161, 'eval_steps_per_second': 3.918, 'epoch': 5.39} -{'loss': 0.455, 'grad_norm': 5.6962666511535645, 'learning_rate': 4.6205035971223025e-05, 'epoch': 5.39} -{'loss': 0.451, 'grad_norm': 4.669796466827393, 'learning_rate': 4.618705035971223e-05, 'epoch': 5.39} -{'loss': 0.4463, 'grad_norm': 2.672701597213745, 'learning_rate': 4.616906474820144e-05, 'epoch': 5.39} -{'loss': 0.4406, 'grad_norm': 2.939138174057007, 'learning_rate': 4.615107913669065e-05, 'epoch': 5.39} -{'loss': 0.4544, 'grad_norm': 1.7753071784973145, 'learning_rate': 4.613309352517986e-05, 'epoch': 5.39} -{'loss': 0.4421, 'grad_norm': 2.2346088886260986, 'learning_rate': 4.6115107913669064e-05, 'epoch': 5.4} -{'loss': 0.4519, 'grad_norm': 5.1293625831604, 'learning_rate': 4.609712230215827e-05, 'epoch': 5.4} -{'loss': 0.4529, 'grad_norm': 4.412563800811768, 'learning_rate': 4.6079136690647486e-05, 'epoch': 5.4} -{'loss': 0.4348, 'grad_norm': 2.5423851013183594, 'learning_rate': 4.6061151079136694e-05, 'epoch': 5.4} -{'loss': 0.4496, 'grad_norm': 1.28681218624115, 'learning_rate': 4.60431654676259e-05, 'epoch': 5.4} - 54%|██████████████████████████████████████████████████▉ | 3020/5570 [48:18<34:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.447829008102417, 'eval_runtime': 1.5576, 'eval_samples_per_second': 462.254, 'eval_steps_per_second': 3.852, 'epoch': 5.4} -{'loss': 0.4492, 'grad_norm': 6.088395118713379, 'learning_rate': 4.602517985611511e-05, 'epoch': 5.41} -{'loss': 0.446, 'grad_norm': 5.543332099914551, 'learning_rate': 4.600719424460432e-05, 'epoch': 5.41} -{'loss': 0.4467, 'grad_norm': 1.9650280475616455, 'learning_rate': 4.5989208633093525e-05, 'epoch': 5.41} -{'loss': 0.444, 'grad_norm': 2.2314116954803467, 'learning_rate': 4.597122302158274e-05, 'epoch': 5.41} -{'loss': 0.4482, 'grad_norm': 3.7248270511627197, 'learning_rate': 4.595323741007194e-05, 'epoch': 5.41} -{'loss': 0.4528, 'grad_norm': 2.4403254985809326, 'learning_rate': 4.5935251798561155e-05, 'epoch': 5.41} -{'loss': 0.4353, 'grad_norm': 1.3182356357574463, 'learning_rate': 4.591726618705036e-05, 'epoch': 5.42} -{'loss': 0.446, 'grad_norm': 1.0809506177902222, 'learning_rate': 4.589928057553957e-05, 'epoch': 5.42} -{'loss': 0.4378, 'grad_norm': 2.1535770893096924, 'learning_rate': 4.5881294964028784e-05, 'epoch': 5.42} -{'loss': 0.4529, 'grad_norm': 1.3175677061080933, 'learning_rate': 4.5863309352517985e-05, 'epoch': 5.42} - 54%|███████████████████████████████████████████████████▏ | 3030/5570 [48:27<34:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4459535479545593, 'eval_runtime': 1.5538, 'eval_samples_per_second': 463.383, 'eval_steps_per_second': 3.862, 'epoch': 5.42} -{'loss': 0.4365, 'grad_norm': 1.9132157564163208, 'learning_rate': 4.584532374100719e-05, 'epoch': 5.42} -{'loss': 0.446, 'grad_norm': 2.7545785903930664, 'learning_rate': 4.582733812949641e-05, 'epoch': 5.43} -{'loss': 0.438, 'grad_norm': 1.8260033130645752, 'learning_rate': 4.5809352517985615e-05, 'epoch': 5.43} -{'loss': 0.4375, 'grad_norm': 4.596255779266357, 'learning_rate': 4.579136690647482e-05, 'epoch': 5.43} -{'loss': 0.4447, 'grad_norm': 4.420843601226807, 'learning_rate': 4.577338129496403e-05, 'epoch': 5.43} -{'loss': 0.4406, 'grad_norm': 2.72804856300354, 'learning_rate': 4.575539568345324e-05, 'epoch': 5.43} -{'loss': 0.4515, 'grad_norm': 3.816603660583496, 'learning_rate': 4.5737410071942446e-05, 'epoch': 5.43} -{'loss': 0.4525, 'grad_norm': 5.751575946807861, 'learning_rate': 4.571942446043166e-05, 'epoch': 5.44} -{'loss': 0.4578, 'grad_norm': 5.015263080596924, 'learning_rate': 4.570143884892086e-05, 'epoch': 5.44} -{'loss': 0.4479, 'grad_norm': 1.2260786294937134, 'learning_rate': 4.5683453237410076e-05, 'epoch': 5.44} - 55%|███████████████████████████████████████████████████▎ | 3040/5570 [48:37<34:07, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4473715126514435, 'eval_runtime': 1.5436, 'eval_samples_per_second': 466.44, 'eval_steps_per_second': 3.887, 'epoch': 5.44} -{'loss': 0.4442, 'grad_norm': 4.612566947937012, 'learning_rate': 4.5665467625899284e-05, 'epoch': 5.44} -{'loss': 0.4496, 'grad_norm': 3.7261717319488525, 'learning_rate': 4.564748201438849e-05, 'epoch': 5.44} -{'loss': 0.4507, 'grad_norm': 3.2369723320007324, 'learning_rate': 4.5629496402877706e-05, 'epoch': 5.45} -{'loss': 0.4447, 'grad_norm': 2.3424489498138428, 'learning_rate': 4.561151079136691e-05, 'epoch': 5.45} -{'loss': 0.4429, 'grad_norm': 2.9567172527313232, 'learning_rate': 4.5593525179856115e-05, 'epoch': 5.45} -{'loss': 0.4481, 'grad_norm': 1.3668447732925415, 'learning_rate': 4.557553956834533e-05, 'epoch': 5.45} -{'loss': 0.4494, 'grad_norm': 3.0294418334960938, 'learning_rate': 4.555755395683454e-05, 'epoch': 5.45} -{'loss': 0.4341, 'grad_norm': 3.343975067138672, 'learning_rate': 4.553956834532374e-05, 'epoch': 5.45} -{'loss': 0.4436, 'grad_norm': 1.4955404996871948, 'learning_rate': 4.552158273381295e-05, 'epoch': 5.46} -{'loss': 0.4495, 'grad_norm': 1.9421193599700928, 'learning_rate': 4.550359712230216e-05, 'epoch': 5.46} - 55%|███████████████████████████████████████████████████▍ | 3050/5570 [48:46<34:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4452071785926819, 'eval_runtime': 1.5298, 'eval_samples_per_second': 470.642, 'eval_steps_per_second': 3.922, 'epoch': 5.46} -{'loss': 0.4402, 'grad_norm': 1.7527793645858765, 'learning_rate': 4.548561151079137e-05, 'epoch': 5.46} -{'loss': 0.4461, 'grad_norm': 3.249117851257324, 'learning_rate': 4.546762589928058e-05, 'epoch': 5.46} -{'loss': 0.4471, 'grad_norm': 2.508474111557007, 'learning_rate': 4.544964028776978e-05, 'epoch': 5.46} -{'loss': 0.4514, 'grad_norm': 4.813673973083496, 'learning_rate': 4.5431654676259e-05, 'epoch': 5.46} -{'loss': 0.4468, 'grad_norm': 2.939011573791504, 'learning_rate': 4.5413669064748205e-05, 'epoch': 5.47} -{'loss': 0.4479, 'grad_norm': 2.9867169857025146, 'learning_rate': 4.539568345323741e-05, 'epoch': 5.47} -{'loss': 0.4493, 'grad_norm': 3.15588641166687, 'learning_rate': 4.537769784172662e-05, 'epoch': 5.47} -{'loss': 0.4499, 'grad_norm': 2.900653839111328, 'learning_rate': 4.535971223021583e-05, 'epoch': 5.47} -{'loss': 0.4403, 'grad_norm': 1.7072125673294067, 'learning_rate': 4.5341726618705036e-05, 'epoch': 5.47} -{'loss': 0.452, 'grad_norm': 2.7786340713500977, 'learning_rate': 4.532374100719425e-05, 'epoch': 5.48} - 55%|███████████████████████████████████████████████████▋ | 3060/5570 [48:56<34:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44955816864967346, 'eval_runtime': 1.55, 'eval_samples_per_second': 464.505, 'eval_steps_per_second': 3.871, 'epoch': 5.48} -{'loss': 0.4534, 'grad_norm': 2.6888036727905273, 'learning_rate': 4.530575539568346e-05, 'epoch': 5.48} -{'loss': 0.452, 'grad_norm': 2.290405511856079, 'learning_rate': 4.528776978417266e-05, 'epoch': 5.48} -{'loss': 0.4572, 'grad_norm': 2.5093414783477783, 'learning_rate': 4.5269784172661874e-05, 'epoch': 5.48} -{'loss': 0.4433, 'grad_norm': 3.025953769683838, 'learning_rate': 4.525179856115108e-05, 'epoch': 5.48} -{'loss': 0.4472, 'grad_norm': 1.2803378105163574, 'learning_rate': 4.523381294964029e-05, 'epoch': 5.48} -{'loss': 0.4442, 'grad_norm': 1.9633047580718994, 'learning_rate': 4.52158273381295e-05, 'epoch': 5.49} -{'loss': 0.4536, 'grad_norm': 2.1281778812408447, 'learning_rate': 4.5197841726618704e-05, 'epoch': 5.49} -{'loss': 0.4515, 'grad_norm': 2.7815825939178467, 'learning_rate': 4.517985611510792e-05, 'epoch': 5.49} -{'loss': 0.4491, 'grad_norm': 1.5639283657073975, 'learning_rate': 4.516187050359713e-05, 'epoch': 5.49} -{'loss': 0.4504, 'grad_norm': 2.354595422744751, 'learning_rate': 4.5143884892086334e-05, 'epoch': 5.49} - 55%|███████████████████████████████████████████████████▊ | 3070/5570 [49:05<33:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44605714082717896, 'eval_runtime': 1.538, 'eval_samples_per_second': 468.149, 'eval_steps_per_second': 3.901, 'epoch': 5.49} -{'loss': 0.4518, 'grad_norm': 2.1302006244659424, 'learning_rate': 4.512589928057554e-05, 'epoch': 5.5} -{'loss': 0.4504, 'grad_norm': 1.5515233278274536, 'learning_rate': 4.510791366906475e-05, 'epoch': 5.5} -{'loss': 0.4506, 'grad_norm': 3.725022077560425, 'learning_rate': 4.508992805755396e-05, 'epoch': 5.5} -{'loss': 0.4448, 'grad_norm': 1.3065502643585205, 'learning_rate': 4.507194244604317e-05, 'epoch': 5.5} -{'loss': 0.4421, 'grad_norm': 3.2795841693878174, 'learning_rate': 4.505395683453237e-05, 'epoch': 5.5} -{'loss': 0.4444, 'grad_norm': 3.1664066314697266, 'learning_rate': 4.503597122302158e-05, 'epoch': 5.5} -{'loss': 0.4427, 'grad_norm': 3.2602925300598145, 'learning_rate': 4.5017985611510795e-05, 'epoch': 5.51} -{'loss': 0.4498, 'grad_norm': 0.8768293261528015, 'learning_rate': 4.5e-05, 'epoch': 5.51} -{'loss': 0.4407, 'grad_norm': 4.456643104553223, 'learning_rate': 4.498201438848921e-05, 'epoch': 5.51} -{'loss': 0.4468, 'grad_norm': 4.782491207122803, 'learning_rate': 4.496402877697842e-05, 'epoch': 5.51} - 55%|███████████████████████████████████████████████████▉ | 3080/5570 [49:15<33:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4481029212474823, 'eval_runtime': 1.537, 'eval_samples_per_second': 468.433, 'eval_steps_per_second': 3.904, 'epoch': 5.51} -{'loss': 0.453, 'grad_norm': 3.092799425125122, 'learning_rate': 4.4946043165467626e-05, 'epoch': 5.51} -{'loss': 0.4483, 'grad_norm': 2.6422080993652344, 'learning_rate': 4.492805755395684e-05, 'epoch': 5.52} -{'loss': 0.4445, 'grad_norm': 3.812673807144165, 'learning_rate': 4.491007194244605e-05, 'epoch': 5.52} -{'loss': 0.4396, 'grad_norm': 2.2911388874053955, 'learning_rate': 4.489208633093525e-05, 'epoch': 5.52} -{'loss': 0.4486, 'grad_norm': 4.112912654876709, 'learning_rate': 4.4874100719424464e-05, 'epoch': 5.52} -{'loss': 0.4423, 'grad_norm': 2.336057662963867, 'learning_rate': 4.485611510791367e-05, 'epoch': 5.52} -{'loss': 0.4558, 'grad_norm': 5.431815147399902, 'learning_rate': 4.483812949640288e-05, 'epoch': 5.52} -{'loss': 0.4476, 'grad_norm': 6.362264633178711, 'learning_rate': 4.4820143884892093e-05, 'epoch': 5.53} -{'loss': 0.4479, 'grad_norm': 5.152463912963867, 'learning_rate': 4.4802158273381294e-05, 'epoch': 5.53} -{'loss': 0.4444, 'grad_norm': 2.9837684631347656, 'learning_rate': 4.47841726618705e-05, 'epoch': 5.53} - 55%|████████████████████████████████████████████████████▏ | 3090/5570 [49:25<33:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44923341274261475, 'eval_runtime': 1.56, 'eval_samples_per_second': 461.551, 'eval_steps_per_second': 3.846, 'epoch': 5.53} -{'loss': 0.451, 'grad_norm': 3.3212890625, 'learning_rate': 4.4766187050359717e-05, 'epoch': 5.53} -{'loss': 0.4421, 'grad_norm': 3.93298077583313, 'learning_rate': 4.4748201438848924e-05, 'epoch': 5.53} -{'loss': 0.4461, 'grad_norm': 1.301045298576355, 'learning_rate': 4.473021582733813e-05, 'epoch': 5.54} -{'loss': 0.4498, 'grad_norm': 2.1082046031951904, 'learning_rate': 4.471223021582734e-05, 'epoch': 5.54} -{'loss': 0.4445, 'grad_norm': 0.7411445379257202, 'learning_rate': 4.469424460431655e-05, 'epoch': 5.54} -{'loss': 0.434, 'grad_norm': 3.0422537326812744, 'learning_rate': 4.4676258992805755e-05, 'epoch': 5.54} -{'loss': 0.4488, 'grad_norm': 2.033482074737549, 'learning_rate': 4.465827338129497e-05, 'epoch': 5.54} -{'loss': 0.4444, 'grad_norm': 1.702876329421997, 'learning_rate': 4.464028776978417e-05, 'epoch': 5.54} -{'loss': 0.4438, 'grad_norm': 2.117064952850342, 'learning_rate': 4.4622302158273385e-05, 'epoch': 5.55} -{'loss': 0.4532, 'grad_norm': 2.268320322036743, 'learning_rate': 4.460431654676259e-05, 'epoch': 5.55} - 56%|████████████████████████████████████████████████████▎ | 3100/5570 [49:34<33:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44989827275276184, 'eval_runtime': 1.5428, 'eval_samples_per_second': 466.674, 'eval_steps_per_second': 3.889, 'epoch': 5.55} -{'loss': 0.4584, 'grad_norm': 2.8721437454223633, 'learning_rate': 4.45863309352518e-05, 'epoch': 5.55} -{'loss': 0.4538, 'grad_norm': 2.1923828125, 'learning_rate': 4.4568345323741015e-05, 'epoch': 5.55} -{'loss': 0.4453, 'grad_norm': 1.447282314300537, 'learning_rate': 4.4550359712230216e-05, 'epoch': 5.55} -{'loss': 0.4472, 'grad_norm': 3.761597156524658, 'learning_rate': 4.4532374100719424e-05, 'epoch': 5.55} -{'loss': 0.4551, 'grad_norm': 3.3498966693878174, 'learning_rate': 4.451438848920864e-05, 'epoch': 5.56} -{'loss': 0.469, 'grad_norm': 5.918875217437744, 'learning_rate': 4.4496402877697846e-05, 'epoch': 5.56} -{'loss': 0.4477, 'grad_norm': 1.7360522747039795, 'learning_rate': 4.4478417266187053e-05, 'epoch': 5.56} -{'loss': 0.4443, 'grad_norm': 2.277708053588867, 'learning_rate': 4.446043165467626e-05, 'epoch': 5.56} -{'loss': 0.4493, 'grad_norm': 2.8026211261749268, 'learning_rate': 4.444244604316547e-05, 'epoch': 5.56} -{'loss': 0.4485, 'grad_norm': 2.7893338203430176, 'learning_rate': 4.4424460431654677e-05, 'epoch': 5.57} - 56%|████████████████████████████████████████████████████▍ | 3110/5570 [49:44<33:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.45448756217956543, 'eval_runtime': 1.5382, 'eval_samples_per_second': 468.072, 'eval_steps_per_second': 3.901, 'epoch': 5.57} -{'loss': 0.464, 'grad_norm': 4.9385809898376465, 'learning_rate': 4.440647482014389e-05, 'epoch': 5.57} -{'loss': 0.4464, 'grad_norm': 3.04721999168396, 'learning_rate': 4.438848920863309e-05, 'epoch': 5.57} -{'loss': 0.4529, 'grad_norm': 5.066047668457031, 'learning_rate': 4.4370503597122307e-05, 'epoch': 5.57} -{'loss': 0.453, 'grad_norm': 4.0343546867370605, 'learning_rate': 4.4352517985611514e-05, 'epoch': 5.57} -{'loss': 0.448, 'grad_norm': 4.163887977600098, 'learning_rate': 4.433453237410072e-05, 'epoch': 5.57} -{'loss': 0.4569, 'grad_norm': 6.559164524078369, 'learning_rate': 4.431654676258993e-05, 'epoch': 5.58} -{'loss': 0.4486, 'grad_norm': 3.5823047161102295, 'learning_rate': 4.429856115107914e-05, 'epoch': 5.58} -{'loss': 0.4529, 'grad_norm': 3.3200125694274902, 'learning_rate': 4.4280575539568345e-05, 'epoch': 5.58} -{'loss': 0.4441, 'grad_norm': 6.7832465171813965, 'learning_rate': 4.426258992805756e-05, 'epoch': 5.58} -{'loss': 0.4555, 'grad_norm': 3.641437530517578, 'learning_rate': 4.424460431654677e-05, 'epoch': 5.58} - 56%|████████████████████████████████████████████████████▋ | 3120/5570 [49:53<33:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4487493634223938, 'eval_runtime': 1.542, 'eval_samples_per_second': 466.92, 'eval_steps_per_second': 3.891, 'epoch': 5.58} -{'loss': 0.4471, 'grad_norm': 3.157454490661621, 'learning_rate': 4.422661870503597e-05, 'epoch': 5.59} -{'loss': 0.4512, 'grad_norm': 2.123694658279419, 'learning_rate': 4.420863309352518e-05, 'epoch': 5.59} -{'loss': 0.4496, 'grad_norm': 4.585927963256836, 'learning_rate': 4.419064748201439e-05, 'epoch': 5.59} -{'loss': 0.4428, 'grad_norm': 3.6615662574768066, 'learning_rate': 4.41726618705036e-05, 'epoch': 5.59} -{'loss': 0.4394, 'grad_norm': 1.2613886594772339, 'learning_rate': 4.4154676258992806e-05, 'epoch': 5.59} -{'loss': 0.4454, 'grad_norm': 4.293149471282959, 'learning_rate': 4.4136690647482013e-05, 'epoch': 5.59} -{'loss': 0.4455, 'grad_norm': 2.3908348083496094, 'learning_rate': 4.411870503597123e-05, 'epoch': 5.6} -{'loss': 0.4402, 'grad_norm': 1.5575783252716064, 'learning_rate': 4.4100719424460436e-05, 'epoch': 5.6} -{'loss': 0.4508, 'grad_norm': 5.669031620025635, 'learning_rate': 4.4082733812949643e-05, 'epoch': 5.6} -{'loss': 0.4609, 'grad_norm': 4.144473552703857, 'learning_rate': 4.406474820143885e-05, 'epoch': 5.6} - 56%|████████████████████████████████████████████████████▊ | 3130/5570 [50:03<33:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4484618306159973, 'eval_runtime': 1.5406, 'eval_samples_per_second': 467.362, 'eval_steps_per_second': 3.895, 'epoch': 5.6} -{'loss': 0.4416, 'grad_norm': 3.2855896949768066, 'learning_rate': 4.404676258992806e-05, 'epoch': 5.6} -{'loss': 0.4546, 'grad_norm': 4.188155174255371, 'learning_rate': 4.4028776978417267e-05, 'epoch': 5.61} -{'loss': 0.4456, 'grad_norm': 3.3586084842681885, 'learning_rate': 4.401079136690648e-05, 'epoch': 5.61} -{'loss': 0.452, 'grad_norm': 1.7625632286071777, 'learning_rate': 4.399280575539568e-05, 'epoch': 5.61} -{'loss': 0.4476, 'grad_norm': 3.3429622650146484, 'learning_rate': 4.397482014388489e-05, 'epoch': 5.61} -{'loss': 0.4563, 'grad_norm': 3.5870473384857178, 'learning_rate': 4.3956834532374104e-05, 'epoch': 5.61} -{'loss': 0.455, 'grad_norm': 2.442535877227783, 'learning_rate': 4.393884892086331e-05, 'epoch': 5.61} -{'loss': 0.4435, 'grad_norm': 2.9639475345611572, 'learning_rate': 4.392086330935252e-05, 'epoch': 5.62} -{'loss': 0.4375, 'grad_norm': 4.139152526855469, 'learning_rate': 4.390287769784173e-05, 'epoch': 5.62} -{'loss': 0.4468, 'grad_norm': 5.0482378005981445, 'learning_rate': 4.3884892086330935e-05, 'epoch': 5.62} - 56%|████████████████████████████████████████████████████▉ | 3140/5570 [50:12<33:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44767871499061584, 'eval_runtime': 1.5351, 'eval_samples_per_second': 469.012, 'eval_steps_per_second': 3.908, 'epoch': 5.62} -{'loss': 0.4437, 'grad_norm': 2.941514492034912, 'learning_rate': 4.386690647482015e-05, 'epoch': 5.62} -{'loss': 0.4429, 'grad_norm': 3.8240129947662354, 'learning_rate': 4.384892086330936e-05, 'epoch': 5.62} -{'loss': 0.447, 'grad_norm': 3.1524651050567627, 'learning_rate': 4.383093525179856e-05, 'epoch': 5.62} -{'loss': 0.4536, 'grad_norm': 2.401291847229004, 'learning_rate': 4.381294964028777e-05, 'epoch': 5.63} -{'loss': 0.4476, 'grad_norm': 2.7139062881469727, 'learning_rate': 4.379496402877698e-05, 'epoch': 5.63} -{'loss': 0.4456, 'grad_norm': 4.257610321044922, 'learning_rate': 4.377697841726619e-05, 'epoch': 5.63} -{'loss': 0.4461, 'grad_norm': 4.906066417694092, 'learning_rate': 4.37589928057554e-05, 'epoch': 5.63} -{'loss': 0.4472, 'grad_norm': 2.6710257530212402, 'learning_rate': 4.3741007194244603e-05, 'epoch': 5.63} -{'loss': 0.4404, 'grad_norm': 2.919224500656128, 'learning_rate': 4.372302158273381e-05, 'epoch': 5.64} -{'loss': 0.4417, 'grad_norm': 1.8068571090698242, 'learning_rate': 4.3705035971223026e-05, 'epoch': 5.64} - 57%|█████████████████████████████████████████████████████▏ | 3150/5570 [50:22<32:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4451807737350464, 'eval_runtime': 1.5461, 'eval_samples_per_second': 465.68, 'eval_steps_per_second': 3.881, 'epoch': 5.64} -{'loss': 0.4429, 'grad_norm': 2.671980381011963, 'learning_rate': 4.368705035971223e-05, 'epoch': 5.64} -{'loss': 0.4473, 'grad_norm': 2.023963689804077, 'learning_rate': 4.366906474820144e-05, 'epoch': 5.64} -{'loss': 0.4431, 'grad_norm': 2.645371198654175, 'learning_rate': 4.365107913669065e-05, 'epoch': 5.64} -{'loss': 0.4406, 'grad_norm': 3.834590435028076, 'learning_rate': 4.3633093525179856e-05, 'epoch': 5.64} -{'loss': 0.4482, 'grad_norm': 4.359095096588135, 'learning_rate': 4.361510791366907e-05, 'epoch': 5.65} -{'loss': 0.4448, 'grad_norm': 2.9623847007751465, 'learning_rate': 4.359712230215828e-05, 'epoch': 5.65} -{'loss': 0.4419, 'grad_norm': 2.7083981037139893, 'learning_rate': 4.357913669064748e-05, 'epoch': 5.65} -{'loss': 0.4507, 'grad_norm': 4.834914207458496, 'learning_rate': 4.3561151079136694e-05, 'epoch': 5.65} -{'loss': 0.4393, 'grad_norm': 3.202788829803467, 'learning_rate': 4.35431654676259e-05, 'epoch': 5.65} -{'loss': 0.4522, 'grad_norm': 1.2407110929489136, 'learning_rate': 4.352517985611511e-05, 'epoch': 5.66} - 57%|█████████████████████████████████████████████████████▎ | 3160/5570 [50:32<32:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4449418783187866, 'eval_runtime': 1.5403, 'eval_samples_per_second': 467.44, 'eval_steps_per_second': 3.895, 'epoch': 5.66} -{'loss': 0.4508, 'grad_norm': 3.74379563331604, 'learning_rate': 4.3507194244604324e-05, 'epoch': 5.66} -{'loss': 0.4389, 'grad_norm': 4.542694091796875, 'learning_rate': 4.3489208633093525e-05, 'epoch': 5.66} -{'loss': 0.4445, 'grad_norm': 2.760371446609497, 'learning_rate': 4.347122302158273e-05, 'epoch': 5.66} -{'loss': 0.4518, 'grad_norm': 1.5335595607757568, 'learning_rate': 4.345323741007195e-05, 'epoch': 5.66} -{'loss': 0.4446, 'grad_norm': 2.4111902713775635, 'learning_rate': 4.3435251798561155e-05, 'epoch': 5.66} -{'loss': 0.4359, 'grad_norm': 2.9324252605438232, 'learning_rate': 4.341726618705036e-05, 'epoch': 5.67} -{'loss': 0.4487, 'grad_norm': 2.5320017337799072, 'learning_rate': 4.339928057553957e-05, 'epoch': 5.67} -{'loss': 0.4338, 'grad_norm': 3.8336033821105957, 'learning_rate': 4.338129496402878e-05, 'epoch': 5.67} -{'loss': 0.4456, 'grad_norm': 1.4438666105270386, 'learning_rate': 4.3363309352517986e-05, 'epoch': 5.67} -{'loss': 0.4379, 'grad_norm': 2.1878206729888916, 'learning_rate': 4.33453237410072e-05, 'epoch': 5.67} - 57%|█████████████████████████████████████████████████████▍ | 3170/5570 [50:41<33:06, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44596001505851746, 'eval_runtime': 1.5331, 'eval_samples_per_second': 469.629, 'eval_steps_per_second': 3.914, 'epoch': 5.67} -{'loss': 0.4521, 'grad_norm': 2.8904993534088135, 'learning_rate': 4.33273381294964e-05, 'epoch': 5.68} -{'loss': 0.4432, 'grad_norm': 2.5908091068267822, 'learning_rate': 4.3309352517985616e-05, 'epoch': 5.68} -{'loss': 0.4454, 'grad_norm': 2.501492500305176, 'learning_rate': 4.329136690647482e-05, 'epoch': 5.68} -{'loss': 0.4357, 'grad_norm': 2.736436605453491, 'learning_rate': 4.327338129496403e-05, 'epoch': 5.68} -{'loss': 0.4445, 'grad_norm': 2.9638357162475586, 'learning_rate': 4.325539568345324e-05, 'epoch': 5.68} -{'loss': 0.4505, 'grad_norm': 1.432421326637268, 'learning_rate': 4.3237410071942446e-05, 'epoch': 5.68} -{'loss': 0.4442, 'grad_norm': 1.7132033109664917, 'learning_rate': 4.3219424460431654e-05, 'epoch': 5.69} -{'loss': 0.443, 'grad_norm': 2.0843613147735596, 'learning_rate': 4.320143884892087e-05, 'epoch': 5.69} -{'loss': 0.4504, 'grad_norm': 3.0947670936584473, 'learning_rate': 4.3183453237410076e-05, 'epoch': 5.69} -{'loss': 0.4387, 'grad_norm': 1.205522894859314, 'learning_rate': 4.3165467625899284e-05, 'epoch': 5.69} - 57%|█████████████████████████████████████████████████████▋ | 3180/5570 [50:51<32:13, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4440858066082001, 'eval_runtime': 1.5352, 'eval_samples_per_second': 468.995, 'eval_steps_per_second': 3.908, 'epoch': 5.69} -{'loss': 0.4475, 'grad_norm': 0.9124847054481506, 'learning_rate': 4.314748201438849e-05, 'epoch': 5.69} -{'loss': 0.4388, 'grad_norm': 1.107728123664856, 'learning_rate': 4.31294964028777e-05, 'epoch': 5.69} -{'loss': 0.4427, 'grad_norm': 2.2195637226104736, 'learning_rate': 4.311151079136691e-05, 'epoch': 5.7} -{'loss': 0.441, 'grad_norm': 1.7715200185775757, 'learning_rate': 4.3093525179856115e-05, 'epoch': 5.7} -{'loss': 0.4417, 'grad_norm': 4.118729591369629, 'learning_rate': 4.307553956834532e-05, 'epoch': 5.7} -{'loss': 0.436, 'grad_norm': 2.7827374935150146, 'learning_rate': 4.305755395683454e-05, 'epoch': 5.7} -{'loss': 0.4492, 'grad_norm': 1.7582429647445679, 'learning_rate': 4.3039568345323745e-05, 'epoch': 5.7} -{'loss': 0.4504, 'grad_norm': 4.207706451416016, 'learning_rate': 4.302158273381295e-05, 'epoch': 5.71} -{'loss': 0.4576, 'grad_norm': 6.6663126945495605, 'learning_rate': 4.300359712230216e-05, 'epoch': 5.71} -{'loss': 0.46, 'grad_norm': 2.9627299308776855, 'learning_rate': 4.298561151079137e-05, 'epoch': 5.71} - 57%|█████████████████████████████████████████████████████▊ | 3190/5570 [51:00<32:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4490503966808319, 'eval_runtime': 1.5349, 'eval_samples_per_second': 469.082, 'eval_steps_per_second': 3.909, 'epoch': 5.71} -{'loss': 0.4468, 'grad_norm': 1.8510839939117432, 'learning_rate': 4.2967625899280576e-05, 'epoch': 5.71} -{'loss': 0.4594, 'grad_norm': 5.085265636444092, 'learning_rate': 4.294964028776979e-05, 'epoch': 5.71} -{'loss': 0.4442, 'grad_norm': 6.810399055480957, 'learning_rate': 4.293165467625899e-05, 'epoch': 5.71} -{'loss': 0.4563, 'grad_norm': 5.751639366149902, 'learning_rate': 4.29136690647482e-05, 'epoch': 5.72} -{'loss': 0.4508, 'grad_norm': 3.2153167724609375, 'learning_rate': 4.289568345323741e-05, 'epoch': 5.72} -{'loss': 0.4582, 'grad_norm': 3.0327491760253906, 'learning_rate': 4.287769784172662e-05, 'epoch': 5.72} -{'loss': 0.4502, 'grad_norm': 3.8008408546447754, 'learning_rate': 4.285971223021583e-05, 'epoch': 5.72} -{'loss': 0.4412, 'grad_norm': 2.5387260913848877, 'learning_rate': 4.2841726618705036e-05, 'epoch': 5.72} -{'loss': 0.4396, 'grad_norm': 1.6810510158538818, 'learning_rate': 4.2823741007194244e-05, 'epoch': 5.73} -{'loss': 0.4515, 'grad_norm': 2.259896993637085, 'learning_rate': 4.280575539568346e-05, 'epoch': 5.73} - 57%|██████████████████████████████████████████████████████ | 3200/5570 [51:10<32:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4463020861148834, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.671, 'eval_steps_per_second': 3.906, 'epoch': 5.73} -{'loss': 0.4395, 'grad_norm': 3.2055394649505615, 'learning_rate': 4.2787769784172666e-05, 'epoch': 5.73} -{'loss': 0.4525, 'grad_norm': 2.807710886001587, 'learning_rate': 4.2769784172661874e-05, 'epoch': 5.73} -{'loss': 0.4411, 'grad_norm': 3.098423480987549, 'learning_rate': 4.275179856115108e-05, 'epoch': 5.73} -{'loss': 0.4503, 'grad_norm': 5.043682098388672, 'learning_rate': 4.273381294964029e-05, 'epoch': 5.73} -{'loss': 0.4513, 'grad_norm': 2.96647047996521, 'learning_rate': 4.27158273381295e-05, 'epoch': 5.74} -{'loss': 0.445, 'grad_norm': 1.9630438089370728, 'learning_rate': 4.269784172661871e-05, 'epoch': 5.74} -{'loss': 0.4384, 'grad_norm': 3.212604284286499, 'learning_rate': 4.267985611510791e-05, 'epoch': 5.74} -{'loss': 0.4456, 'grad_norm': 3.1943600177764893, 'learning_rate': 4.266187050359712e-05, 'epoch': 5.74} -{'loss': 0.4359, 'grad_norm': 2.082798719406128, 'learning_rate': 4.2643884892086335e-05, 'epoch': 5.74} -{'loss': 0.4414, 'grad_norm': 2.1560816764831543, 'learning_rate': 4.262589928057554e-05, 'epoch': 5.75} - 58%|██████████████████████████████████████████████████████▏ | 3210/5570 [51:20<32:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4433445930480957, 'eval_runtime': 1.5379, 'eval_samples_per_second': 468.173, 'eval_steps_per_second': 3.901, 'epoch': 5.75} -{'loss': 0.4425, 'grad_norm': 1.3883020877838135, 'learning_rate': 4.260791366906475e-05, 'epoch': 5.75} -{'loss': 0.445, 'grad_norm': 3.6748108863830566, 'learning_rate': 4.258992805755396e-05, 'epoch': 5.75} -{'loss': 0.4516, 'grad_norm': 4.087042331695557, 'learning_rate': 4.2571942446043165e-05, 'epoch': 5.75} -{'loss': 0.45, 'grad_norm': 2.5984299182891846, 'learning_rate': 4.255395683453238e-05, 'epoch': 5.75} -{'loss': 0.4423, 'grad_norm': 4.266932487487793, 'learning_rate': 4.253597122302159e-05, 'epoch': 5.75} -{'loss': 0.4536, 'grad_norm': 4.131740570068359, 'learning_rate': 4.251798561151079e-05, 'epoch': 5.76} -{'loss': 0.4443, 'grad_norm': 2.565150022506714, 'learning_rate': 4.25e-05, 'epoch': 5.76} -{'loss': 0.4392, 'grad_norm': 2.9835469722747803, 'learning_rate': 4.248201438848921e-05, 'epoch': 5.76} -{'loss': 0.4363, 'grad_norm': 3.0920662879943848, 'learning_rate': 4.246402877697842e-05, 'epoch': 5.76} -{'loss': 0.4523, 'grad_norm': 2.0492796897888184, 'learning_rate': 4.244604316546763e-05, 'epoch': 5.76} - 58%|██████████████████████████████████████████████████████▎ | 3220/5570 [51:29<31:57, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4441670775413513, 'eval_runtime': 1.5314, 'eval_samples_per_second': 470.143, 'eval_steps_per_second': 3.918, 'epoch': 5.76} -{'loss': 0.4387, 'grad_norm': 2.7547194957733154, 'learning_rate': 4.2428057553956834e-05, 'epoch': 5.76} -{'loss': 0.4439, 'grad_norm': 4.451888084411621, 'learning_rate': 4.241007194244604e-05, 'epoch': 5.77} -{'loss': 0.44, 'grad_norm': 2.717885971069336, 'learning_rate': 4.2392086330935256e-05, 'epoch': 5.77} -{'loss': 0.444, 'grad_norm': 3.64306902885437, 'learning_rate': 4.2374100719424464e-05, 'epoch': 5.77} -{'loss': 0.4396, 'grad_norm': 5.8210129737854, 'learning_rate': 4.235611510791367e-05, 'epoch': 5.77} -{'loss': 0.441, 'grad_norm': 4.2227935791015625, 'learning_rate': 4.233812949640288e-05, 'epoch': 5.77} -{'loss': 0.4453, 'grad_norm': 1.3126983642578125, 'learning_rate': 4.232014388489209e-05, 'epoch': 5.78} -{'loss': 0.4409, 'grad_norm': 4.311515808105469, 'learning_rate': 4.23021582733813e-05, 'epoch': 5.78} -{'loss': 0.451, 'grad_norm': 5.6819305419921875, 'learning_rate': 4.228417266187051e-05, 'epoch': 5.78} -{'loss': 0.4532, 'grad_norm': 5.2171311378479, 'learning_rate': 4.226618705035971e-05, 'epoch': 5.78} - 58%|██████████████████████████████████████████████████████▌ | 3230/5570 [51:39<32:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44831278920173645, 'eval_runtime': 1.5387, 'eval_samples_per_second': 467.913, 'eval_steps_per_second': 3.899, 'epoch': 5.78} -{'loss': 0.4459, 'grad_norm': 2.571000099182129, 'learning_rate': 4.2248201438848925e-05, 'epoch': 5.78} -{'loss': 0.4441, 'grad_norm': 4.767932415008545, 'learning_rate': 4.223021582733813e-05, 'epoch': 5.78} -{'loss': 0.4513, 'grad_norm': 7.15927267074585, 'learning_rate': 4.221223021582734e-05, 'epoch': 5.79} -{'loss': 0.452, 'grad_norm': 7.583693027496338, 'learning_rate': 4.219424460431655e-05, 'epoch': 5.79} -{'loss': 0.4385, 'grad_norm': 4.8505096435546875, 'learning_rate': 4.2176258992805755e-05, 'epoch': 5.79} -{'loss': 0.4553, 'grad_norm': 2.5127406120300293, 'learning_rate': 4.215827338129496e-05, 'epoch': 5.79} -{'loss': 0.4409, 'grad_norm': 3.8729214668273926, 'learning_rate': 4.214028776978418e-05, 'epoch': 5.79} -{'loss': 0.4341, 'grad_norm': 5.184378147125244, 'learning_rate': 4.2122302158273385e-05, 'epoch': 5.8} -{'loss': 0.443, 'grad_norm': 4.431276798248291, 'learning_rate': 4.210431654676259e-05, 'epoch': 5.8} -{'loss': 0.4439, 'grad_norm': 2.190742015838623, 'learning_rate': 4.20863309352518e-05, 'epoch': 5.8} - 58%|██████████████████████████████████████████████████████▋ | 3240/5570 [51:48<31:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4438525438308716, 'eval_runtime': 1.5564, 'eval_samples_per_second': 462.601, 'eval_steps_per_second': 3.855, 'epoch': 5.8} -{'loss': 0.4476, 'grad_norm': 1.8151042461395264, 'learning_rate': 4.206834532374101e-05, 'epoch': 5.8} -{'loss': 0.4408, 'grad_norm': 2.2239580154418945, 'learning_rate': 4.205035971223022e-05, 'epoch': 5.8} -{'loss': 0.442, 'grad_norm': 2.822477340698242, 'learning_rate': 4.2032374100719424e-05, 'epoch': 5.8} -{'loss': 0.4476, 'grad_norm': 2.820446014404297, 'learning_rate': 4.201438848920863e-05, 'epoch': 5.81} -{'loss': 0.442, 'grad_norm': 2.084714889526367, 'learning_rate': 4.1996402877697846e-05, 'epoch': 5.81} -{'loss': 0.4504, 'grad_norm': 1.6466952562332153, 'learning_rate': 4.1978417266187054e-05, 'epoch': 5.81} -{'loss': 0.4447, 'grad_norm': 3.6201093196868896, 'learning_rate': 4.196043165467626e-05, 'epoch': 5.81} -{'loss': 0.4432, 'grad_norm': 1.486312747001648, 'learning_rate': 4.194244604316547e-05, 'epoch': 5.81} -{'loss': 0.4473, 'grad_norm': 1.1477466821670532, 'learning_rate': 4.192446043165468e-05, 'epoch': 5.82} -{'loss': 0.4424, 'grad_norm': 2.9503209590911865, 'learning_rate': 4.1906474820143885e-05, 'epoch': 5.82} - 58%|██████████████████████████████████████████████████████▊ | 3250/5570 [51:58<31:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4465363323688507, 'eval_runtime': 1.5442, 'eval_samples_per_second': 466.276, 'eval_steps_per_second': 3.886, 'epoch': 5.82} -{'loss': 0.4544, 'grad_norm': 4.950405120849609, 'learning_rate': 4.18884892086331e-05, 'epoch': 5.82} -{'loss': 0.4374, 'grad_norm': 2.182084321975708, 'learning_rate': 4.18705035971223e-05, 'epoch': 5.82} -{'loss': 0.4488, 'grad_norm': 2.978309392929077, 'learning_rate': 4.1852517985611514e-05, 'epoch': 5.82} -{'loss': 0.4381, 'grad_norm': 2.0269243717193604, 'learning_rate': 4.183453237410072e-05, 'epoch': 5.82} -{'loss': 0.4545, 'grad_norm': 4.664135932922363, 'learning_rate': 4.181654676258993e-05, 'epoch': 5.83} -{'loss': 0.4469, 'grad_norm': 2.099414587020874, 'learning_rate': 4.179856115107914e-05, 'epoch': 5.83} -{'loss': 0.4418, 'grad_norm': 2.0425596237182617, 'learning_rate': 4.1780575539568345e-05, 'epoch': 5.83} -{'loss': 0.4586, 'grad_norm': 2.3392233848571777, 'learning_rate': 4.176258992805755e-05, 'epoch': 5.83} -{'loss': 0.4463, 'grad_norm': 2.48934268951416, 'learning_rate': 4.174460431654677e-05, 'epoch': 5.83} -{'loss': 0.449, 'grad_norm': 1.707354187965393, 'learning_rate': 4.1726618705035975e-05, 'epoch': 5.83} - 59%|███████████████████████████████████████████████████████ | 3260/5570 [52:08<31:20, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44786012172698975, 'eval_runtime': 1.5394, 'eval_samples_per_second': 467.728, 'eval_steps_per_second': 3.898, 'epoch': 5.83} -{'loss': 0.4381, 'grad_norm': 1.7577228546142578, 'learning_rate': 4.170863309352518e-05, 'epoch': 5.84} -{'loss': 0.4601, 'grad_norm': 3.2057571411132812, 'learning_rate': 4.169064748201439e-05, 'epoch': 5.84} -{'loss': 0.4422, 'grad_norm': 2.107600688934326, 'learning_rate': 4.16726618705036e-05, 'epoch': 5.84} -{'loss': 0.4384, 'grad_norm': 3.095980167388916, 'learning_rate': 4.1654676258992806e-05, 'epoch': 5.84} -{'loss': 0.4373, 'grad_norm': 3.845649003982544, 'learning_rate': 4.163669064748202e-05, 'epoch': 5.84} -{'loss': 0.4447, 'grad_norm': 2.863802909851074, 'learning_rate': 4.161870503597122e-05, 'epoch': 5.85} -{'loss': 0.4512, 'grad_norm': 1.9830782413482666, 'learning_rate': 4.1600719424460436e-05, 'epoch': 5.85} -{'loss': 0.4472, 'grad_norm': 2.9219930171966553, 'learning_rate': 4.1582733812949644e-05, 'epoch': 5.85} -{'loss': 0.4393, 'grad_norm': 4.600142955780029, 'learning_rate': 4.156474820143885e-05, 'epoch': 5.85} -{'loss': 0.4476, 'grad_norm': 5.343029022216797, 'learning_rate': 4.154676258992806e-05, 'epoch': 5.85} - 59%|███████████████████████████████████████████████████████▏ | 3270/5570 [52:17<31:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44487378001213074, 'eval_runtime': 1.5273, 'eval_samples_per_second': 471.421, 'eval_steps_per_second': 3.929, 'epoch': 5.85} -{'loss': 0.4432, 'grad_norm': 3.7351629734039307, 'learning_rate': 4.152877697841727e-05, 'epoch': 5.85} -{'loss': 0.4555, 'grad_norm': 4.446821689605713, 'learning_rate': 4.1510791366906474e-05, 'epoch': 5.86} -{'loss': 0.4533, 'grad_norm': 5.682227611541748, 'learning_rate': 4.149280575539569e-05, 'epoch': 5.86} -{'loss': 0.4523, 'grad_norm': 3.2453410625457764, 'learning_rate': 4.14748201438849e-05, 'epoch': 5.86} -{'loss': 0.4455, 'grad_norm': 1.562072515487671, 'learning_rate': 4.14568345323741e-05, 'epoch': 5.86} -{'loss': 0.435, 'grad_norm': 3.055640459060669, 'learning_rate': 4.143884892086331e-05, 'epoch': 5.86} -{'loss': 0.4501, 'grad_norm': 5.928337097167969, 'learning_rate': 4.142086330935252e-05, 'epoch': 5.87} -{'loss': 0.4556, 'grad_norm': 5.422259330749512, 'learning_rate': 4.140287769784173e-05, 'epoch': 5.87} -{'loss': 0.4459, 'grad_norm': 2.3503897190093994, 'learning_rate': 4.138489208633094e-05, 'epoch': 5.87} -{'loss': 0.4555, 'grad_norm': 1.5004509687423706, 'learning_rate': 4.136690647482014e-05, 'epoch': 5.87} - 59%|███████████████████████████████████████████████████████▎ | 3280/5570 [52:27<31:14, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4486505389213562, 'eval_runtime': 1.5456, 'eval_samples_per_second': 465.849, 'eval_steps_per_second': 3.882, 'epoch': 5.87} -{'loss': 0.4444, 'grad_norm': 3.502504587173462, 'learning_rate': 4.134892086330935e-05, 'epoch': 5.87} -{'loss': 0.4354, 'grad_norm': 2.9917054176330566, 'learning_rate': 4.1330935251798565e-05, 'epoch': 5.87} -{'loss': 0.4362, 'grad_norm': 1.75287663936615, 'learning_rate': 4.131294964028777e-05, 'epoch': 5.88} -{'loss': 0.4402, 'grad_norm': 1.966157078742981, 'learning_rate': 4.129496402877698e-05, 'epoch': 5.88} -{'loss': 0.4415, 'grad_norm': 2.7371866703033447, 'learning_rate': 4.127697841726619e-05, 'epoch': 5.88} -{'loss': 0.4389, 'grad_norm': 2.129857063293457, 'learning_rate': 4.1258992805755396e-05, 'epoch': 5.88} -{'loss': 0.4405, 'grad_norm': 1.739221215248108, 'learning_rate': 4.124100719424461e-05, 'epoch': 5.88} -{'loss': 0.4626, 'grad_norm': 3.1751179695129395, 'learning_rate': 4.122302158273382e-05, 'epoch': 5.89} -{'loss': 0.436, 'grad_norm': 2.345914840698242, 'learning_rate': 4.120503597122302e-05, 'epoch': 5.89} -{'loss': 0.4378, 'grad_norm': 1.7656899690628052, 'learning_rate': 4.1187050359712234e-05, 'epoch': 5.89} - 59%|███████████████████████████████████████████████████████▌ | 3290/5570 [52:36<30:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4471333920955658, 'eval_runtime': 1.5395, 'eval_samples_per_second': 467.695, 'eval_steps_per_second': 3.897, 'epoch': 5.89} -{'loss': 0.4468, 'grad_norm': 5.17733907699585, 'learning_rate': 4.116906474820144e-05, 'epoch': 5.89} -{'loss': 0.4618, 'grad_norm': 5.924644947052002, 'learning_rate': 4.115107913669065e-05, 'epoch': 5.89} -{'loss': 0.4486, 'grad_norm': 2.1828582286834717, 'learning_rate': 4.113309352517986e-05, 'epoch': 5.89} -{'loss': 0.4437, 'grad_norm': 4.4518327713012695, 'learning_rate': 4.1115107913669064e-05, 'epoch': 5.9} -{'loss': 0.4346, 'grad_norm': 3.392801284790039, 'learning_rate': 4.109712230215827e-05, 'epoch': 5.9} -{'loss': 0.4481, 'grad_norm': 4.797163009643555, 'learning_rate': 4.1079136690647487e-05, 'epoch': 5.9} -{'loss': 0.4485, 'grad_norm': 3.357584238052368, 'learning_rate': 4.1061151079136694e-05, 'epoch': 5.9} -{'loss': 0.4394, 'grad_norm': 2.7111220359802246, 'learning_rate': 4.10431654676259e-05, 'epoch': 5.9} -{'loss': 0.4494, 'grad_norm': 5.502864360809326, 'learning_rate': 4.102517985611511e-05, 'epoch': 5.9} -{'loss': 0.4452, 'grad_norm': 5.247741222381592, 'learning_rate': 4.100719424460432e-05, 'epoch': 5.91} - 59%|███████████████████████████████████████████████████████▋ | 3300/5570 [52:46<30:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44558537006378174, 'eval_runtime': 1.5379, 'eval_samples_per_second': 468.159, 'eval_steps_per_second': 3.901, 'epoch': 5.91} -{'loss': 0.4398, 'grad_norm': 1.515610694885254, 'learning_rate': 4.098920863309353e-05, 'epoch': 5.91} -{'loss': 0.4428, 'grad_norm': 2.420168876647949, 'learning_rate': 4.097122302158273e-05, 'epoch': 5.91} -{'loss': 0.4527, 'grad_norm': 5.200247764587402, 'learning_rate': 4.095323741007194e-05, 'epoch': 5.91} -{'loss': 0.4324, 'grad_norm': 1.960805058479309, 'learning_rate': 4.0935251798561155e-05, 'epoch': 5.91} -{'loss': 0.4388, 'grad_norm': 3.5025737285614014, 'learning_rate': 4.091726618705036e-05, 'epoch': 5.92} -{'loss': 0.4558, 'grad_norm': 5.758073329925537, 'learning_rate': 4.089928057553957e-05, 'epoch': 5.92} -{'loss': 0.437, 'grad_norm': 3.340468645095825, 'learning_rate': 4.088129496402878e-05, 'epoch': 5.92} -{'loss': 0.437, 'grad_norm': 1.98995840549469, 'learning_rate': 4.0863309352517986e-05, 'epoch': 5.92} -{'loss': 0.4458, 'grad_norm': 2.8134396076202393, 'learning_rate': 4.0845323741007194e-05, 'epoch': 5.92} -{'loss': 0.4361, 'grad_norm': 1.7897123098373413, 'learning_rate': 4.082733812949641e-05, 'epoch': 5.92} - 59%|███████████████████████████████████████████████████████▊ | 3310/5570 [52:55<30:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.443331241607666, 'eval_runtime': 1.5377, 'eval_samples_per_second': 468.231, 'eval_steps_per_second': 3.902, 'epoch': 5.92} -{'loss': 0.4515, 'grad_norm': 1.9598504304885864, 'learning_rate': 4.0809352517985616e-05, 'epoch': 5.93} -{'loss': 0.4317, 'grad_norm': 2.283029556274414, 'learning_rate': 4.0791366906474823e-05, 'epoch': 5.93} -{'loss': 0.4314, 'grad_norm': 1.7353663444519043, 'learning_rate': 4.077338129496403e-05, 'epoch': 5.93} -{'loss': 0.4463, 'grad_norm': 1.0583070516586304, 'learning_rate': 4.075539568345324e-05, 'epoch': 5.93} -{'loss': 0.4491, 'grad_norm': 2.461656332015991, 'learning_rate': 4.073741007194245e-05, 'epoch': 5.93} -{'loss': 0.4401, 'grad_norm': 2.702822208404541, 'learning_rate': 4.0719424460431654e-05, 'epoch': 5.94} -{'loss': 0.449, 'grad_norm': 2.833522081375122, 'learning_rate': 4.070143884892086e-05, 'epoch': 5.94} -{'loss': 0.4357, 'grad_norm': 1.5020095109939575, 'learning_rate': 4.0683453237410076e-05, 'epoch': 5.94} -{'loss': 0.4489, 'grad_norm': 4.735726356506348, 'learning_rate': 4.0665467625899284e-05, 'epoch': 5.94} -{'loss': 0.4435, 'grad_norm': 2.37536883354187, 'learning_rate': 4.064748201438849e-05, 'epoch': 5.94} - 60%|████████████████████████████████████████████████████████ | 3320/5570 [53:05<30:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.442846417427063, 'eval_runtime': 1.5436, 'eval_samples_per_second': 466.439, 'eval_steps_per_second': 3.887, 'epoch': 5.94} -{'loss': 0.4575, 'grad_norm': 1.9619927406311035, 'learning_rate': 4.06294964028777e-05, 'epoch': 5.94} -{'loss': 0.4367, 'grad_norm': 3.8639252185821533, 'learning_rate': 4.061151079136691e-05, 'epoch': 5.95} -{'loss': 0.4503, 'grad_norm': 5.800852298736572, 'learning_rate': 4.0593525179856115e-05, 'epoch': 5.95} -{'loss': 0.448, 'grad_norm': 3.819739818572998, 'learning_rate': 4.057553956834533e-05, 'epoch': 5.95} -{'loss': 0.4427, 'grad_norm': 2.0775909423828125, 'learning_rate': 4.055755395683453e-05, 'epoch': 5.95} -{'loss': 0.4371, 'grad_norm': 3.5461483001708984, 'learning_rate': 4.0539568345323745e-05, 'epoch': 5.95} -{'loss': 0.4361, 'grad_norm': 4.478952407836914, 'learning_rate': 4.052158273381295e-05, 'epoch': 5.96} -{'loss': 0.4449, 'grad_norm': 1.8413208723068237, 'learning_rate': 4.050359712230216e-05, 'epoch': 5.96} -{'loss': 0.4446, 'grad_norm': 2.603050708770752, 'learning_rate': 4.048561151079137e-05, 'epoch': 5.96} -{'loss': 0.4436, 'grad_norm': 1.1772661209106445, 'learning_rate': 4.0467625899280576e-05, 'epoch': 5.96} - 60%|████████████████████████████████████████████████████████▏ | 3330/5570 [53:15<30:27, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4422145485877991, 'eval_runtime': 1.5364, 'eval_samples_per_second': 468.617, 'eval_steps_per_second': 3.905, 'epoch': 5.96} -{'loss': 0.4454, 'grad_norm': 1.800876498222351, 'learning_rate': 4.0449640287769783e-05, 'epoch': 5.96} -{'loss': 0.4511, 'grad_norm': 2.349682331085205, 'learning_rate': 4.0431654676259e-05, 'epoch': 5.96} -{'loss': 0.4436, 'grad_norm': 4.097053050994873, 'learning_rate': 4.0413669064748206e-05, 'epoch': 5.97} -{'loss': 0.4359, 'grad_norm': 3.2629129886627197, 'learning_rate': 4.0395683453237407e-05, 'epoch': 5.97} -{'loss': 0.4312, 'grad_norm': 1.0057916641235352, 'learning_rate': 4.037769784172662e-05, 'epoch': 5.97} -{'loss': 0.4479, 'grad_norm': 4.759908199310303, 'learning_rate': 4.035971223021583e-05, 'epoch': 5.97} -{'loss': 0.4521, 'grad_norm': 4.484434127807617, 'learning_rate': 4.0341726618705036e-05, 'epoch': 5.97} -{'loss': 0.4533, 'grad_norm': 3.622915029525757, 'learning_rate': 4.032374100719425e-05, 'epoch': 5.97} -{'loss': 0.4345, 'grad_norm': 2.917435884475708, 'learning_rate': 4.030575539568345e-05, 'epoch': 5.98} -{'loss': 0.45, 'grad_norm': 5.765692710876465, 'learning_rate': 4.0287769784172666e-05, 'epoch': 5.98} - 60%|████████████████████████████████████████████████████████▎ | 3340/5570 [53:24<30:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4516400992870331, 'eval_runtime': 1.5234, 'eval_samples_per_second': 472.631, 'eval_steps_per_second': 3.939, 'epoch': 5.98} -{'loss': 0.4589, 'grad_norm': 3.6801578998565674, 'learning_rate': 4.0269784172661874e-05, 'epoch': 5.98} -{'loss': 0.4442, 'grad_norm': 4.421383857727051, 'learning_rate': 4.025179856115108e-05, 'epoch': 5.98} -{'loss': 0.4391, 'grad_norm': 1.1258771419525146, 'learning_rate': 4.023381294964029e-05, 'epoch': 5.98} -{'loss': 0.4514, 'grad_norm': 5.948544979095459, 'learning_rate': 4.02158273381295e-05, 'epoch': 5.99} -{'loss': 0.4324, 'grad_norm': 5.868459701538086, 'learning_rate': 4.0197841726618705e-05, 'epoch': 5.99} -{'loss': 0.4451, 'grad_norm': 1.8680967092514038, 'learning_rate': 4.017985611510792e-05, 'epoch': 5.99} -{'loss': 0.436, 'grad_norm': 1.8136787414550781, 'learning_rate': 4.016187050359713e-05, 'epoch': 5.99} -{'loss': 0.4437, 'grad_norm': 2.755244255065918, 'learning_rate': 4.014388489208633e-05, 'epoch': 5.99} -{'loss': 0.4468, 'grad_norm': 1.6013398170471191, 'learning_rate': 4.012589928057554e-05, 'epoch': 5.99} -{'loss': 0.4368, 'grad_norm': 1.997797966003418, 'learning_rate': 4.010791366906475e-05, 'epoch': 6.0} - 60%|████████████████████████████████████████████████████████▌ | 3350/5570 [53:33<29:50, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44217047095298767, 'eval_runtime': 1.5383, 'eval_samples_per_second': 468.038, 'eval_steps_per_second': 3.9, 'epoch': 6.0} -{'loss': 0.4522, 'grad_norm': 1.0422509908676147, 'learning_rate': 4.008992805755396e-05, 'epoch': 6.0} -{'loss': 0.4495, 'grad_norm': 4.635254383087158, 'learning_rate': 4.0071942446043166e-05, 'epoch': 6.0} -{'loss': 0.4525, 'grad_norm': 4.765228271484375, 'learning_rate': 4.005395683453237e-05, 'epoch': 6.0} -{'loss': 0.4626, 'grad_norm': 6.082963943481445, 'learning_rate': 4.003597122302158e-05, 'epoch': 6.0} -{'loss': 0.4558, 'grad_norm': 7.248812198638916, 'learning_rate': 4.0017985611510796e-05, 'epoch': 6.01} -{'loss': 0.447, 'grad_norm': 2.433030366897583, 'learning_rate': 4e-05, 'epoch': 6.01} -{'loss': 0.4486, 'grad_norm': 2.948295831680298, 'learning_rate': 3.998201438848921e-05, 'epoch': 6.01} -{'loss': 0.4511, 'grad_norm': 2.7061080932617188, 'learning_rate': 3.996402877697842e-05, 'epoch': 6.01} -{'loss': 0.4423, 'grad_norm': 2.4341557025909424, 'learning_rate': 3.9946043165467626e-05, 'epoch': 6.01} -{'loss': 0.4269, 'grad_norm': 1.8110418319702148, 'learning_rate': 3.992805755395684e-05, 'epoch': 6.01} - 60%|████████████████████████████████████████████████████████▋ | 3360/5570 [53:43<30:03, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4471338093280792, 'eval_runtime': 1.5344, 'eval_samples_per_second': 469.249, 'eval_steps_per_second': 3.91, 'epoch': 6.01} -{'loss': 0.4399, 'grad_norm': 1.8238359689712524, 'learning_rate': 3.991007194244604e-05, 'epoch': 6.02} -{'loss': 0.4389, 'grad_norm': 3.5268917083740234, 'learning_rate': 3.989208633093525e-05, 'epoch': 6.02} -{'loss': 0.4474, 'grad_norm': 2.1657536029815674, 'learning_rate': 3.9874100719424464e-05, 'epoch': 6.02} -{'loss': 0.4296, 'grad_norm': 1.9657906293869019, 'learning_rate': 3.985611510791367e-05, 'epoch': 6.02} -{'loss': 0.4407, 'grad_norm': 5.6440324783325195, 'learning_rate': 3.983812949640288e-05, 'epoch': 6.02} -{'loss': 0.4446, 'grad_norm': 2.756934404373169, 'learning_rate': 3.982014388489209e-05, 'epoch': 6.03} -{'loss': 0.4511, 'grad_norm': 3.5996735095977783, 'learning_rate': 3.9802158273381295e-05, 'epoch': 6.03} -{'loss': 0.4369, 'grad_norm': 5.025909423828125, 'learning_rate': 3.97841726618705e-05, 'epoch': 6.03} -{'loss': 0.4455, 'grad_norm': 2.109705924987793, 'learning_rate': 3.976618705035972e-05, 'epoch': 6.03} -{'loss': 0.4451, 'grad_norm': 3.0694048404693604, 'learning_rate': 3.9748201438848925e-05, 'epoch': 6.03} - 61%|████████████████████████████████████████████████████████▊ | 3370/5570 [53:52<30:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4457172751426697, 'eval_runtime': 1.5214, 'eval_samples_per_second': 473.249, 'eval_steps_per_second': 3.944, 'epoch': 6.03} -{'loss': 0.4487, 'grad_norm': 3.0089683532714844, 'learning_rate': 3.973021582733813e-05, 'epoch': 6.03} -{'loss': 0.445, 'grad_norm': 2.641914129257202, 'learning_rate': 3.971223021582734e-05, 'epoch': 6.04} -{'loss': 0.4459, 'grad_norm': 2.3040049076080322, 'learning_rate': 3.969424460431655e-05, 'epoch': 6.04} -{'loss': 0.4331, 'grad_norm': 2.7862744331359863, 'learning_rate': 3.967625899280576e-05, 'epoch': 6.04} -{'loss': 0.4285, 'grad_norm': 2.7661612033843994, 'learning_rate': 3.965827338129496e-05, 'epoch': 6.04} -{'loss': 0.4456, 'grad_norm': 2.9673235416412354, 'learning_rate': 3.964028776978417e-05, 'epoch': 6.04} -{'loss': 0.4361, 'grad_norm': 0.6415421366691589, 'learning_rate': 3.9622302158273385e-05, 'epoch': 6.04} -{'loss': 0.4426, 'grad_norm': 2.007826328277588, 'learning_rate': 3.960431654676259e-05, 'epoch': 6.05} -{'loss': 0.4324, 'grad_norm': 2.7179787158966064, 'learning_rate': 3.95863309352518e-05, 'epoch': 6.05} -{'loss': 0.4344, 'grad_norm': 2.8103272914886475, 'learning_rate': 3.956834532374101e-05, 'epoch': 6.05} - 61%|█████████████████████████████████████████████████████████ | 3380/5570 [54:02<29:39, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44424450397491455, 'eval_runtime': 1.5212, 'eval_samples_per_second': 473.303, 'eval_steps_per_second': 3.944, 'epoch': 6.05} -{'loss': 0.4247, 'grad_norm': 3.7267017364501953, 'learning_rate': 3.9550359712230216e-05, 'epoch': 6.05} -{'loss': 0.4324, 'grad_norm': 2.367770195007324, 'learning_rate': 3.9532374100719424e-05, 'epoch': 6.05} -{'loss': 0.4425, 'grad_norm': 2.0222413539886475, 'learning_rate': 3.951438848920864e-05, 'epoch': 6.06} -{'loss': 0.4389, 'grad_norm': 2.482347249984741, 'learning_rate': 3.949640287769784e-05, 'epoch': 6.06} -{'loss': 0.4384, 'grad_norm': 2.8421082496643066, 'learning_rate': 3.9478417266187054e-05, 'epoch': 6.06} -{'loss': 0.4363, 'grad_norm': 2.3999528884887695, 'learning_rate': 3.946043165467626e-05, 'epoch': 6.06} -{'loss': 0.4467, 'grad_norm': 5.330258369445801, 'learning_rate': 3.944244604316547e-05, 'epoch': 6.06} -{'loss': 0.4411, 'grad_norm': 3.0263054370880127, 'learning_rate': 3.9424460431654684e-05, 'epoch': 6.06} -{'loss': 0.4441, 'grad_norm': 1.570151686668396, 'learning_rate': 3.9406474820143885e-05, 'epoch': 6.07} -{'loss': 0.4389, 'grad_norm': 2.4920318126678467, 'learning_rate': 3.938848920863309e-05, 'epoch': 6.07} - 61%|█████████████████████████████████████████████████████████▏ | 3390/5570 [54:11<29:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4434782564640045, 'eval_runtime': 1.5223, 'eval_samples_per_second': 472.967, 'eval_steps_per_second': 3.941, 'epoch': 6.07} -{'loss': 0.4365, 'grad_norm': 1.7422126531600952, 'learning_rate': 3.937050359712231e-05, 'epoch': 6.07} -{'loss': 0.4271, 'grad_norm': 2.4710135459899902, 'learning_rate': 3.9352517985611515e-05, 'epoch': 6.07} -{'loss': 0.4432, 'grad_norm': 1.2945899963378906, 'learning_rate': 3.9334532374100716e-05, 'epoch': 6.07} -{'loss': 0.4374, 'grad_norm': 3.237287759780884, 'learning_rate': 3.931654676258993e-05, 'epoch': 6.08} -{'loss': 0.4418, 'grad_norm': 2.912475347518921, 'learning_rate': 3.929856115107914e-05, 'epoch': 6.08} -{'loss': 0.4401, 'grad_norm': 2.3157613277435303, 'learning_rate': 3.9280575539568345e-05, 'epoch': 6.08} -{'loss': 0.4422, 'grad_norm': 3.4258694648742676, 'learning_rate': 3.926258992805756e-05, 'epoch': 6.08} -{'loss': 0.4373, 'grad_norm': 2.1894164085388184, 'learning_rate': 3.924460431654676e-05, 'epoch': 6.08} -{'loss': 0.4399, 'grad_norm': 1.527068853378296, 'learning_rate': 3.9226618705035975e-05, 'epoch': 6.08} -{'loss': 0.4498, 'grad_norm': 3.869393825531006, 'learning_rate': 3.920863309352518e-05, 'epoch': 6.09} - 61%|█████████████████████████████████████████████████████████▍ | 3400/5570 [54:21<29:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4494940936565399, 'eval_runtime': 1.535, 'eval_samples_per_second': 469.064, 'eval_steps_per_second': 3.909, 'epoch': 6.09} -{'loss': 0.4339, 'grad_norm': 2.574078321456909, 'learning_rate': 3.919064748201439e-05, 'epoch': 6.09} -{'loss': 0.4379, 'grad_norm': 3.029228925704956, 'learning_rate': 3.91726618705036e-05, 'epoch': 6.09} -{'loss': 0.4349, 'grad_norm': 2.2810518741607666, 'learning_rate': 3.9154676258992806e-05, 'epoch': 6.09} -{'loss': 0.4363, 'grad_norm': 2.65116810798645, 'learning_rate': 3.9136690647482014e-05, 'epoch': 6.09} -{'loss': 0.4413, 'grad_norm': 2.304530382156372, 'learning_rate': 3.911870503597123e-05, 'epoch': 6.1} -{'loss': 0.4368, 'grad_norm': 2.7004141807556152, 'learning_rate': 3.9100719424460436e-05, 'epoch': 6.1} -{'loss': 0.4331, 'grad_norm': 2.015941619873047, 'learning_rate': 3.908273381294964e-05, 'epoch': 6.1} -{'loss': 0.4206, 'grad_norm': 3.9487955570220947, 'learning_rate': 3.906474820143885e-05, 'epoch': 6.1} -{'loss': 0.431, 'grad_norm': 3.0465331077575684, 'learning_rate': 3.904676258992806e-05, 'epoch': 6.1} -{'loss': 0.4445, 'grad_norm': 2.265585422515869, 'learning_rate': 3.902877697841727e-05, 'epoch': 6.1} - 61%|█████████████████████████████████████████████████████████▌ | 3410/5570 [54:30<29:26, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4456225037574768, 'eval_runtime': 1.539, 'eval_samples_per_second': 467.845, 'eval_steps_per_second': 3.899, 'epoch': 6.1} -{'loss': 0.4429, 'grad_norm': 3.7683873176574707, 'learning_rate': 3.9010791366906475e-05, 'epoch': 6.11} -{'loss': 0.4372, 'grad_norm': 2.135495901107788, 'learning_rate': 3.899280575539568e-05, 'epoch': 6.11} -{'loss': 0.426, 'grad_norm': 1.6951148509979248, 'learning_rate': 3.89748201438849e-05, 'epoch': 6.11} -{'loss': 0.4353, 'grad_norm': 2.824204683303833, 'learning_rate': 3.8956834532374105e-05, 'epoch': 6.11} -{'loss': 0.4452, 'grad_norm': 3.217052936553955, 'learning_rate': 3.893884892086331e-05, 'epoch': 6.11} -{'loss': 0.4404, 'grad_norm': 3.6233913898468018, 'learning_rate': 3.892086330935252e-05, 'epoch': 6.11} -{'loss': 0.4485, 'grad_norm': 1.6846675872802734, 'learning_rate': 3.890287769784173e-05, 'epoch': 6.12} -{'loss': 0.4441, 'grad_norm': 2.33068585395813, 'learning_rate': 3.8884892086330935e-05, 'epoch': 6.12} -{'loss': 0.4382, 'grad_norm': 2.5137717723846436, 'learning_rate': 3.886690647482015e-05, 'epoch': 6.12} -{'loss': 0.4366, 'grad_norm': 3.21593976020813, 'learning_rate': 3.884892086330936e-05, 'epoch': 6.12} - 61%|█████████████████████████████████████████████████████████▋ | 3420/5570 [54:40<29:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4456435441970825, 'eval_runtime': 1.5506, 'eval_samples_per_second': 464.327, 'eval_steps_per_second': 3.869, 'epoch': 6.12} -{'loss': 0.4448, 'grad_norm': 2.9641597270965576, 'learning_rate': 3.883093525179856e-05, 'epoch': 6.12} -{'loss': 0.436, 'grad_norm': 5.438352108001709, 'learning_rate': 3.881294964028777e-05, 'epoch': 6.13} -{'loss': 0.4394, 'grad_norm': 2.322822093963623, 'learning_rate': 3.879496402877698e-05, 'epoch': 6.13} -{'loss': 0.4518, 'grad_norm': 3.652956008911133, 'learning_rate': 3.877697841726619e-05, 'epoch': 6.13} -{'loss': 0.4401, 'grad_norm': 5.040820598602295, 'learning_rate': 3.8758992805755396e-05, 'epoch': 6.13} -{'loss': 0.4438, 'grad_norm': 5.264494895935059, 'learning_rate': 3.8741007194244604e-05, 'epoch': 6.13} -{'loss': 0.4474, 'grad_norm': 3.105851650238037, 'learning_rate': 3.872302158273382e-05, 'epoch': 6.13} -{'loss': 0.4415, 'grad_norm': 1.875458002090454, 'learning_rate': 3.8705035971223026e-05, 'epoch': 6.14} -{'loss': 0.4419, 'grad_norm': 6.6953253746032715, 'learning_rate': 3.8687050359712234e-05, 'epoch': 6.14} -{'loss': 0.4555, 'grad_norm': 9.761703491210938, 'learning_rate': 3.866906474820144e-05, 'epoch': 6.14} - 62%|█████████████████████████████████████████████████████████▉ | 3430/5570 [54:50<29:24, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4504365622997284, 'eval_runtime': 1.5318, 'eval_samples_per_second': 470.023, 'eval_steps_per_second': 3.917, 'epoch': 6.14} -{'loss': 0.4615, 'grad_norm': 7.059953689575195, 'learning_rate': 3.865107913669065e-05, 'epoch': 6.14} -{'loss': 0.4449, 'grad_norm': 3.2715978622436523, 'learning_rate': 3.863309352517986e-05, 'epoch': 6.14} -{'loss': 0.4407, 'grad_norm': 3.821946382522583, 'learning_rate': 3.861510791366907e-05, 'epoch': 6.15} -{'loss': 0.4418, 'grad_norm': 6.812079906463623, 'learning_rate': 3.859712230215827e-05, 'epoch': 6.15} -{'loss': 0.4521, 'grad_norm': 6.104211807250977, 'learning_rate': 3.857913669064748e-05, 'epoch': 6.15} -{'loss': 0.4389, 'grad_norm': 2.5508716106414795, 'learning_rate': 3.8561151079136694e-05, 'epoch': 6.15} -{'loss': 0.4462, 'grad_norm': 1.8693031072616577, 'learning_rate': 3.85431654676259e-05, 'epoch': 6.15} -{'loss': 0.4462, 'grad_norm': 5.11965799331665, 'learning_rate': 3.852517985611511e-05, 'epoch': 6.15} -{'loss': 0.4381, 'grad_norm': 4.925990581512451, 'learning_rate': 3.850719424460432e-05, 'epoch': 6.16} -{'loss': 0.4396, 'grad_norm': 3.4486067295074463, 'learning_rate': 3.8489208633093525e-05, 'epoch': 6.16} - 62%|██████████████████████████████████████████████████████████ | 3440/5570 [54:59<29:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44376781582832336, 'eval_runtime': 1.5356, 'eval_samples_per_second': 468.885, 'eval_steps_per_second': 3.907, 'epoch': 6.16} -{'loss': 0.4271, 'grad_norm': 2.558720588684082, 'learning_rate': 3.847122302158273e-05, 'epoch': 6.16} -{'loss': 0.4436, 'grad_norm': 5.166345596313477, 'learning_rate': 3.845323741007195e-05, 'epoch': 6.16} -{'loss': 0.4459, 'grad_norm': 5.300422668457031, 'learning_rate': 3.843525179856115e-05, 'epoch': 6.16} -{'loss': 0.4446, 'grad_norm': 2.226130723953247, 'learning_rate': 3.841726618705036e-05, 'epoch': 6.17} -{'loss': 0.4446, 'grad_norm': 2.406715154647827, 'learning_rate': 3.839928057553957e-05, 'epoch': 6.17} -{'loss': 0.4305, 'grad_norm': 3.616917610168457, 'learning_rate': 3.838129496402878e-05, 'epoch': 6.17} -{'loss': 0.4416, 'grad_norm': 1.6961385011672974, 'learning_rate': 3.836330935251799e-05, 'epoch': 6.17} -{'loss': 0.4341, 'grad_norm': 1.3912569284439087, 'learning_rate': 3.8345323741007194e-05, 'epoch': 6.17} -{'loss': 0.4344, 'grad_norm': 1.699813723564148, 'learning_rate': 3.83273381294964e-05, 'epoch': 6.17} -{'loss': 0.4419, 'grad_norm': 5.343966484069824, 'learning_rate': 3.8309352517985616e-05, 'epoch': 6.18} - 62%|██████████████████████████████████████████████████████████▏ | 3450/5570 [55:09<28:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4425044655799866, 'eval_runtime': 1.5403, 'eval_samples_per_second': 467.455, 'eval_steps_per_second': 3.895, 'epoch': 6.18} -{'loss': 0.4361, 'grad_norm': 1.6944072246551514, 'learning_rate': 3.8291366906474824e-05, 'epoch': 6.18} -{'loss': 0.4393, 'grad_norm': 3.4472994804382324, 'learning_rate': 3.827338129496403e-05, 'epoch': 6.18} -{'loss': 0.4401, 'grad_norm': 4.394937992095947, 'learning_rate': 3.825539568345324e-05, 'epoch': 6.18} -{'loss': 0.4388, 'grad_norm': 3.533115863800049, 'learning_rate': 3.823741007194245e-05, 'epoch': 6.18} -{'loss': 0.4321, 'grad_norm': 1.6063469648361206, 'learning_rate': 3.8219424460431654e-05, 'epoch': 6.18} -{'loss': 0.4364, 'grad_norm': 3.6012167930603027, 'learning_rate': 3.820143884892087e-05, 'epoch': 6.19} -{'loss': 0.4601, 'grad_norm': 5.686123371124268, 'learning_rate': 3.818345323741007e-05, 'epoch': 6.19} -{'loss': 0.4437, 'grad_norm': 4.37926721572876, 'learning_rate': 3.8165467625899284e-05, 'epoch': 6.19} -{'loss': 0.4345, 'grad_norm': 2.0543878078460693, 'learning_rate': 3.814748201438849e-05, 'epoch': 6.19} -{'loss': 0.4279, 'grad_norm': 2.9315173625946045, 'learning_rate': 3.81294964028777e-05, 'epoch': 6.19} - 62%|██████████████████████████████████████████████████████████▍ | 3460/5570 [55:18<28:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4436361491680145, 'eval_runtime': 1.5502, 'eval_samples_per_second': 464.449, 'eval_steps_per_second': 3.87, 'epoch': 6.19} -{'loss': 0.4513, 'grad_norm': 3.372326135635376, 'learning_rate': 3.811151079136691e-05, 'epoch': 6.2} -{'loss': 0.4336, 'grad_norm': 2.1751863956451416, 'learning_rate': 3.8093525179856115e-05, 'epoch': 6.2} -{'loss': 0.4458, 'grad_norm': 2.161757469177246, 'learning_rate': 3.807553956834532e-05, 'epoch': 6.2} -{'loss': 0.4451, 'grad_norm': 6.698609828948975, 'learning_rate': 3.805755395683454e-05, 'epoch': 6.2} -{'loss': 0.4434, 'grad_norm': 3.518690586090088, 'learning_rate': 3.8039568345323745e-05, 'epoch': 6.2} -{'loss': 0.4386, 'grad_norm': 1.9552710056304932, 'learning_rate': 3.8021582733812946e-05, 'epoch': 6.2} -{'loss': 0.4399, 'grad_norm': 2.5164079666137695, 'learning_rate': 3.800359712230216e-05, 'epoch': 6.21} -{'loss': 0.4296, 'grad_norm': 1.2225967645645142, 'learning_rate': 3.798561151079137e-05, 'epoch': 6.21} -{'loss': 0.4355, 'grad_norm': 2.5132317543029785, 'learning_rate': 3.7967625899280576e-05, 'epoch': 6.21} -{'loss': 0.43, 'grad_norm': 2.1113204956054688, 'learning_rate': 3.794964028776979e-05, 'epoch': 6.21} - 62%|██████████████████████████████████████████████████████████▌ | 3470/5570 [55:28<28:37, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4419557452201843, 'eval_runtime': 1.5566, 'eval_samples_per_second': 462.536, 'eval_steps_per_second': 3.854, 'epoch': 6.21} -{'loss': 0.4328, 'grad_norm': 3.655425786972046, 'learning_rate': 3.793165467625899e-05, 'epoch': 6.21} -{'loss': 0.4457, 'grad_norm': 4.6486616134643555, 'learning_rate': 3.7913669064748206e-05, 'epoch': 6.22} -{'loss': 0.4248, 'grad_norm': 1.5675475597381592, 'learning_rate': 3.7895683453237414e-05, 'epoch': 6.22} -{'loss': 0.4454, 'grad_norm': 5.709102153778076, 'learning_rate': 3.787769784172662e-05, 'epoch': 6.22} -{'loss': 0.4373, 'grad_norm': 4.765421390533447, 'learning_rate': 3.785971223021583e-05, 'epoch': 6.22} -{'loss': 0.4471, 'grad_norm': 3.818243980407715, 'learning_rate': 3.784172661870504e-05, 'epoch': 6.22} -{'loss': 0.4366, 'grad_norm': 3.223781108856201, 'learning_rate': 3.7823741007194244e-05, 'epoch': 6.22} -{'loss': 0.4283, 'grad_norm': 2.9273171424865723, 'learning_rate': 3.780575539568346e-05, 'epoch': 6.23} -{'loss': 0.4411, 'grad_norm': 3.1015589237213135, 'learning_rate': 3.7787769784172667e-05, 'epoch': 6.23} -{'loss': 0.444, 'grad_norm': 3.39518404006958, 'learning_rate': 3.776978417266187e-05, 'epoch': 6.23} - 62%|██████████████████████████████████████████████████████████▋ | 3480/5570 [55:37<28:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4426228702068329, 'eval_runtime': 1.5317, 'eval_samples_per_second': 470.059, 'eval_steps_per_second': 3.917, 'epoch': 6.23} -{'loss': 0.4344, 'grad_norm': 1.9166749715805054, 'learning_rate': 3.775179856115108e-05, 'epoch': 6.23} -{'loss': 0.4325, 'grad_norm': 2.378358840942383, 'learning_rate': 3.773381294964029e-05, 'epoch': 6.23} -{'loss': 0.4314, 'grad_norm': 4.4614129066467285, 'learning_rate': 3.77158273381295e-05, 'epoch': 6.24} -{'loss': 0.4405, 'grad_norm': 2.1416077613830566, 'learning_rate': 3.7697841726618705e-05, 'epoch': 6.24} -{'loss': 0.4366, 'grad_norm': 1.9265698194503784, 'learning_rate': 3.767985611510791e-05, 'epoch': 6.24} -{'loss': 0.4363, 'grad_norm': 3.796389102935791, 'learning_rate': 3.766187050359713e-05, 'epoch': 6.24} -{'loss': 0.424, 'grad_norm': 3.6971802711486816, 'learning_rate': 3.7643884892086335e-05, 'epoch': 6.24} -{'loss': 0.4466, 'grad_norm': 2.187443256378174, 'learning_rate': 3.762589928057554e-05, 'epoch': 6.24} -{'loss': 0.4396, 'grad_norm': 3.8090991973876953, 'learning_rate': 3.760791366906475e-05, 'epoch': 6.25} -{'loss': 0.4404, 'grad_norm': 4.499872207641602, 'learning_rate': 3.758992805755396e-05, 'epoch': 6.25} - 63%|██████████████████████████████████████████████████████████▉ | 3490/5570 [55:47<28:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4458668529987335, 'eval_runtime': 1.5281, 'eval_samples_per_second': 471.164, 'eval_steps_per_second': 3.926, 'epoch': 6.25} -{'loss': 0.4439, 'grad_norm': 4.236396789550781, 'learning_rate': 3.7571942446043166e-05, 'epoch': 6.25} -{'loss': 0.4367, 'grad_norm': 2.002399206161499, 'learning_rate': 3.755395683453238e-05, 'epoch': 6.25} -{'loss': 0.4446, 'grad_norm': 4.447526931762695, 'learning_rate': 3.753597122302158e-05, 'epoch': 6.25} -{'loss': 0.4518, 'grad_norm': 5.307018756866455, 'learning_rate': 3.751798561151079e-05, 'epoch': 6.25} -{'loss': 0.4629, 'grad_norm': 5.914139270782471, 'learning_rate': 3.7500000000000003e-05, 'epoch': 6.26} -{'loss': 0.4379, 'grad_norm': 3.960191488265991, 'learning_rate': 3.748201438848921e-05, 'epoch': 6.26} -{'loss': 0.4417, 'grad_norm': 2.079836130142212, 'learning_rate': 3.746402877697842e-05, 'epoch': 6.26} -{'loss': 0.4416, 'grad_norm': 5.623782157897949, 'learning_rate': 3.744604316546763e-05, 'epoch': 6.26} -{'loss': 0.4484, 'grad_norm': 10.1714506149292, 'learning_rate': 3.7428057553956834e-05, 'epoch': 6.26} -{'loss': 0.4455, 'grad_norm': 9.225478172302246, 'learning_rate': 3.741007194244605e-05, 'epoch': 6.27} - 63%|███████████████████████████████████████████████████████████ | 3500/5570 [55:57<28:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4524487257003784, 'eval_runtime': 1.5449, 'eval_samples_per_second': 466.042, 'eval_steps_per_second': 3.884, 'epoch': 6.27} -{'loss': 0.443, 'grad_norm': 5.610151767730713, 'learning_rate': 3.7392086330935257e-05, 'epoch': 6.27} -{'loss': 0.4338, 'grad_norm': 2.4652862548828125, 'learning_rate': 3.737410071942446e-05, 'epoch': 6.27} -{'loss': 0.4384, 'grad_norm': 4.155890464782715, 'learning_rate': 3.735611510791367e-05, 'epoch': 6.27} -{'loss': 0.436, 'grad_norm': 4.957907676696777, 'learning_rate': 3.733812949640288e-05, 'epoch': 6.27} -{'loss': 0.4408, 'grad_norm': 4.556215763092041, 'learning_rate': 3.732014388489209e-05, 'epoch': 6.27} -{'loss': 0.4363, 'grad_norm': 3.986924171447754, 'learning_rate': 3.73021582733813e-05, 'epoch': 6.28} -{'loss': 0.4474, 'grad_norm': 2.0871481895446777, 'learning_rate': 3.72841726618705e-05, 'epoch': 6.28} -{'loss': 0.4408, 'grad_norm': 3.3350114822387695, 'learning_rate': 3.726618705035971e-05, 'epoch': 6.28} -{'loss': 0.4406, 'grad_norm': 3.6325325965881348, 'learning_rate': 3.7248201438848925e-05, 'epoch': 6.28} -{'loss': 0.4397, 'grad_norm': 1.6310546398162842, 'learning_rate': 3.723021582733813e-05, 'epoch': 6.28} - 63%|███████████████████████████████████████████████████████████▏ | 3510/5570 [56:06<28:24, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4428572654724121, 'eval_runtime': 1.5407, 'eval_samples_per_second': 467.324, 'eval_steps_per_second': 3.894, 'epoch': 6.28} -{'loss': 0.4444, 'grad_norm': 2.8957910537719727, 'learning_rate': 3.721223021582734e-05, 'epoch': 6.29} -{'loss': 0.4355, 'grad_norm': 4.511266708374023, 'learning_rate': 3.719424460431655e-05, 'epoch': 6.29} -{'loss': 0.4275, 'grad_norm': 3.4637796878814697, 'learning_rate': 3.7176258992805756e-05, 'epoch': 6.29} -{'loss': 0.4394, 'grad_norm': 3.4203662872314453, 'learning_rate': 3.7158273381294964e-05, 'epoch': 6.29} -{'loss': 0.4393, 'grad_norm': 4.276262283325195, 'learning_rate': 3.714028776978418e-05, 'epoch': 6.29} -{'loss': 0.4379, 'grad_norm': 1.150978922843933, 'learning_rate': 3.712230215827338e-05, 'epoch': 6.29} -{'loss': 0.4356, 'grad_norm': 0.8012795448303223, 'learning_rate': 3.7104316546762593e-05, 'epoch': 6.3} -{'loss': 0.4362, 'grad_norm': 1.7539069652557373, 'learning_rate': 3.70863309352518e-05, 'epoch': 6.3} -{'loss': 0.4447, 'grad_norm': 1.8652310371398926, 'learning_rate': 3.706834532374101e-05, 'epoch': 6.3} -{'loss': 0.444, 'grad_norm': 1.622849941253662, 'learning_rate': 3.7050359712230217e-05, 'epoch': 6.3} - 63%|███████████████████████████████████████████████████████████▍ | 3520/5570 [56:16<28:00, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4433393180370331, 'eval_runtime': 1.5243, 'eval_samples_per_second': 472.354, 'eval_steps_per_second': 3.936, 'epoch': 6.3} -{'loss': 0.4385, 'grad_norm': 2.222022771835327, 'learning_rate': 3.7032374100719424e-05, 'epoch': 6.3} -{'loss': 0.4356, 'grad_norm': 2.5262529850006104, 'learning_rate': 3.701438848920863e-05, 'epoch': 6.31} -{'loss': 0.4325, 'grad_norm': 2.5083465576171875, 'learning_rate': 3.6996402877697846e-05, 'epoch': 6.31} -{'loss': 0.4479, 'grad_norm': 2.5537760257720947, 'learning_rate': 3.6978417266187054e-05, 'epoch': 6.31} -{'loss': 0.4491, 'grad_norm': 1.6460559368133545, 'learning_rate': 3.696043165467626e-05, 'epoch': 6.31} -{'loss': 0.443, 'grad_norm': 1.5542330741882324, 'learning_rate': 3.694244604316547e-05, 'epoch': 6.31} -{'loss': 0.4473, 'grad_norm': 2.847712516784668, 'learning_rate': 3.692446043165468e-05, 'epoch': 6.31} -{'loss': 0.4444, 'grad_norm': 5.885586738586426, 'learning_rate': 3.6906474820143885e-05, 'epoch': 6.32} -{'loss': 0.4409, 'grad_norm': 2.610344886779785, 'learning_rate': 3.68884892086331e-05, 'epoch': 6.32} -{'loss': 0.434, 'grad_norm': 1.960436224937439, 'learning_rate': 3.68705035971223e-05, 'epoch': 6.32} - 63%|███████████████████████████████████████████████████████████▌ | 3530/5570 [56:25<27:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44467732310295105, 'eval_runtime': 1.5364, 'eval_samples_per_second': 468.621, 'eval_steps_per_second': 3.905, 'epoch': 6.32} -{'loss': 0.4378, 'grad_norm': 3.669328212738037, 'learning_rate': 3.6852517985611515e-05, 'epoch': 6.32} -{'loss': 0.4347, 'grad_norm': 6.285520076751709, 'learning_rate': 3.683453237410072e-05, 'epoch': 6.32} -{'loss': 0.4429, 'grad_norm': 3.1287460327148438, 'learning_rate': 3.681654676258993e-05, 'epoch': 6.32} -{'loss': 0.4459, 'grad_norm': 2.1653847694396973, 'learning_rate': 3.679856115107914e-05, 'epoch': 6.33} -{'loss': 0.4491, 'grad_norm': 1.864848256111145, 'learning_rate': 3.6780575539568346e-05, 'epoch': 6.33} -{'loss': 0.438, 'grad_norm': 1.5150874853134155, 'learning_rate': 3.6762589928057553e-05, 'epoch': 6.33} -{'loss': 0.4522, 'grad_norm': 5.146888732910156, 'learning_rate': 3.674460431654677e-05, 'epoch': 6.33} -{'loss': 0.443, 'grad_norm': 2.631375789642334, 'learning_rate': 3.6726618705035976e-05, 'epoch': 6.33} -{'loss': 0.4407, 'grad_norm': 2.411799430847168, 'learning_rate': 3.6708633093525177e-05, 'epoch': 6.34} -{'loss': 0.4491, 'grad_norm': 1.6762348413467407, 'learning_rate': 3.669064748201439e-05, 'epoch': 6.34} - 64%|███████████████████████████████████████████████████████████▋ | 3540/5570 [56:35<27:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44631126523017883, 'eval_runtime': 1.5375, 'eval_samples_per_second': 468.286, 'eval_steps_per_second': 3.902, 'epoch': 6.34} -{'loss': 0.4518, 'grad_norm': 3.0496413707733154, 'learning_rate': 3.66726618705036e-05, 'epoch': 6.34} -{'loss': 0.4422, 'grad_norm': 2.9152112007141113, 'learning_rate': 3.6654676258992806e-05, 'epoch': 6.34} -{'loss': 0.4316, 'grad_norm': 2.596924304962158, 'learning_rate': 3.6636690647482014e-05, 'epoch': 6.34} -{'loss': 0.4321, 'grad_norm': 1.494566798210144, 'learning_rate': 3.661870503597122e-05, 'epoch': 6.34} -{'loss': 0.4481, 'grad_norm': 4.72152853012085, 'learning_rate': 3.6600719424460436e-05, 'epoch': 6.35} -{'loss': 0.4353, 'grad_norm': 5.169626712799072, 'learning_rate': 3.6582733812949644e-05, 'epoch': 6.35} -{'loss': 0.4429, 'grad_norm': 3.3200888633728027, 'learning_rate': 3.656474820143885e-05, 'epoch': 6.35} -{'loss': 0.4303, 'grad_norm': 3.737398147583008, 'learning_rate': 3.654676258992806e-05, 'epoch': 6.35} -{'loss': 0.4479, 'grad_norm': 3.2484824657440186, 'learning_rate': 3.652877697841727e-05, 'epoch': 6.35} -{'loss': 0.4368, 'grad_norm': 3.0739643573760986, 'learning_rate': 3.6510791366906475e-05, 'epoch': 6.36} - 64%|███████████████████████████████████████████████████████████▉ | 3550/5570 [56:45<27:29, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44554510712623596, 'eval_runtime': 1.533, 'eval_samples_per_second': 469.655, 'eval_steps_per_second': 3.914, 'epoch': 6.36} -{'loss': 0.4483, 'grad_norm': 3.381195068359375, 'learning_rate': 3.649280575539569e-05, 'epoch': 6.36} -{'loss': 0.4391, 'grad_norm': 2.498054027557373, 'learning_rate': 3.647482014388489e-05, 'epoch': 6.36} -{'loss': 0.4394, 'grad_norm': 2.1705400943756104, 'learning_rate': 3.64568345323741e-05, 'epoch': 6.36} -{'loss': 0.4384, 'grad_norm': 1.6220906972885132, 'learning_rate': 3.643884892086331e-05, 'epoch': 6.36} -{'loss': 0.4368, 'grad_norm': 2.2868683338165283, 'learning_rate': 3.642086330935252e-05, 'epoch': 6.36} -{'loss': 0.4373, 'grad_norm': 2.7598235607147217, 'learning_rate': 3.640287769784173e-05, 'epoch': 6.37} -{'loss': 0.4323, 'grad_norm': 2.0567798614501953, 'learning_rate': 3.6384892086330936e-05, 'epoch': 6.37} -{'loss': 0.4329, 'grad_norm': 1.963002324104309, 'learning_rate': 3.636690647482014e-05, 'epoch': 6.37} -{'loss': 0.4379, 'grad_norm': 1.3875281810760498, 'learning_rate': 3.634892086330936e-05, 'epoch': 6.37} -{'loss': 0.4366, 'grad_norm': 2.3317439556121826, 'learning_rate': 3.6330935251798566e-05, 'epoch': 6.37} - 64%|████████████████████████████████████████████████████████████ | 3560/5570 [56:54<27:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44300368428230286, 'eval_runtime': 1.5473, 'eval_samples_per_second': 465.323, 'eval_steps_per_second': 3.878, 'epoch': 6.37} -{'loss': 0.4391, 'grad_norm': 1.4725350141525269, 'learning_rate': 3.6312949640287766e-05, 'epoch': 6.38} -{'loss': 0.4297, 'grad_norm': 2.4851675033569336, 'learning_rate': 3.629496402877698e-05, 'epoch': 6.38} -{'loss': 0.4398, 'grad_norm': 1.743791103363037, 'learning_rate': 3.627697841726619e-05, 'epoch': 6.38} -{'loss': 0.4435, 'grad_norm': 2.624307155609131, 'learning_rate': 3.6258992805755396e-05, 'epoch': 6.38} -{'loss': 0.4208, 'grad_norm': 1.5168886184692383, 'learning_rate': 3.624100719424461e-05, 'epoch': 6.38} -{'loss': 0.44, 'grad_norm': 3.3728389739990234, 'learning_rate': 3.622302158273381e-05, 'epoch': 6.38} -{'loss': 0.4395, 'grad_norm': 2.896616220474243, 'learning_rate': 3.620503597122302e-05, 'epoch': 6.39} -{'loss': 0.4425, 'grad_norm': 2.1704094409942627, 'learning_rate': 3.6187050359712234e-05, 'epoch': 6.39} -{'loss': 0.4341, 'grad_norm': 1.9714162349700928, 'learning_rate': 3.616906474820144e-05, 'epoch': 6.39} -{'loss': 0.4444, 'grad_norm': 4.6383056640625, 'learning_rate': 3.615107913669065e-05, 'epoch': 6.39} - 64%|████████████████████████████████████████████████████████████▏ | 3570/5570 [57:04<27:21, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44354116916656494, 'eval_runtime': 1.5354, 'eval_samples_per_second': 468.927, 'eval_steps_per_second': 3.908, 'epoch': 6.39} -{'loss': 0.4446, 'grad_norm': 3.880430221557617, 'learning_rate': 3.613309352517986e-05, 'epoch': 6.39} -{'loss': 0.4333, 'grad_norm': 3.098573923110962, 'learning_rate': 3.6115107913669065e-05, 'epoch': 6.39} -{'loss': 0.4293, 'grad_norm': 1.5988129377365112, 'learning_rate': 3.609712230215828e-05, 'epoch': 6.4} -{'loss': 0.4381, 'grad_norm': 6.250865459442139, 'learning_rate': 3.607913669064749e-05, 'epoch': 6.4} -{'loss': 0.44, 'grad_norm': 2.0167603492736816, 'learning_rate': 3.606115107913669e-05, 'epoch': 6.4} -{'loss': 0.4403, 'grad_norm': 2.9385392665863037, 'learning_rate': 3.60431654676259e-05, 'epoch': 6.4} -{'loss': 0.4328, 'grad_norm': 1.7517389059066772, 'learning_rate': 3.602517985611511e-05, 'epoch': 6.4} -{'loss': 0.4473, 'grad_norm': 1.1478873491287231, 'learning_rate': 3.600719424460432e-05, 'epoch': 6.41} -{'loss': 0.4312, 'grad_norm': 1.7515650987625122, 'learning_rate': 3.598920863309353e-05, 'epoch': 6.41} -{'loss': 0.4289, 'grad_norm': 3.0679354667663574, 'learning_rate': 3.597122302158273e-05, 'epoch': 6.41} - 64%|████████████████████████████████████████████████████████████▍ | 3580/5570 [57:13<27:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44485801458358765, 'eval_runtime': 1.5404, 'eval_samples_per_second': 467.409, 'eval_steps_per_second': 3.895, 'epoch': 6.41} -{'loss': 0.4468, 'grad_norm': 1.7472262382507324, 'learning_rate': 3.595323741007194e-05, 'epoch': 6.41} -{'loss': 0.4464, 'grad_norm': 4.248900413513184, 'learning_rate': 3.5935251798561155e-05, 'epoch': 6.41} -{'loss': 0.4399, 'grad_norm': 2.1437971591949463, 'learning_rate': 3.591726618705036e-05, 'epoch': 6.41} -{'loss': 0.4453, 'grad_norm': 3.8663723468780518, 'learning_rate': 3.589928057553957e-05, 'epoch': 6.42} -{'loss': 0.4399, 'grad_norm': 4.698338031768799, 'learning_rate': 3.588129496402878e-05, 'epoch': 6.42} -{'loss': 0.4367, 'grad_norm': 3.6327064037323, 'learning_rate': 3.5863309352517986e-05, 'epoch': 6.42} -{'loss': 0.4353, 'grad_norm': 0.8910529613494873, 'learning_rate': 3.5845323741007194e-05, 'epoch': 6.42} -{'loss': 0.441, 'grad_norm': 4.744122505187988, 'learning_rate': 3.582733812949641e-05, 'epoch': 6.42} -{'loss': 0.4398, 'grad_norm': 2.3102219104766846, 'learning_rate': 3.580935251798561e-05, 'epoch': 6.43} -{'loss': 0.4372, 'grad_norm': 1.8402677774429321, 'learning_rate': 3.5791366906474824e-05, 'epoch': 6.43} - 64%|████████████████████████████████████████████████████████████▌ | 3590/5570 [57:23<26:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44347280263900757, 'eval_runtime': 1.5444, 'eval_samples_per_second': 466.186, 'eval_steps_per_second': 3.885, 'epoch': 6.43} -{'loss': 0.4489, 'grad_norm': 3.312692642211914, 'learning_rate': 3.577338129496403e-05, 'epoch': 6.43} -{'loss': 0.4307, 'grad_norm': 4.8358941078186035, 'learning_rate': 3.575539568345324e-05, 'epoch': 6.43} -{'loss': 0.4334, 'grad_norm': 2.242042303085327, 'learning_rate': 3.573741007194245e-05, 'epoch': 6.43} -{'loss': 0.4338, 'grad_norm': 1.5744401216506958, 'learning_rate': 3.5719424460431655e-05, 'epoch': 6.43} -{'loss': 0.446, 'grad_norm': 5.677122116088867, 'learning_rate': 3.570143884892086e-05, 'epoch': 6.44} -{'loss': 0.4431, 'grad_norm': 6.2542500495910645, 'learning_rate': 3.568345323741008e-05, 'epoch': 6.44} -{'loss': 0.434, 'grad_norm': 4.687788963317871, 'learning_rate': 3.5665467625899285e-05, 'epoch': 6.44} -{'loss': 0.431, 'grad_norm': 2.365478515625, 'learning_rate': 3.564748201438849e-05, 'epoch': 6.44} -{'loss': 0.4502, 'grad_norm': 6.939054489135742, 'learning_rate': 3.56294964028777e-05, 'epoch': 6.44} -{'loss': 0.4508, 'grad_norm': 7.069889545440674, 'learning_rate': 3.561151079136691e-05, 'epoch': 6.45} - 65%|████████████████████████████████████████████████████████████▊ | 3600/5570 [57:33<26:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4498995542526245, 'eval_runtime': 1.5383, 'eval_samples_per_second': 468.045, 'eval_steps_per_second': 3.9, 'epoch': 6.45} -{'loss': 0.4466, 'grad_norm': 8.298786163330078, 'learning_rate': 3.5593525179856115e-05, 'epoch': 6.45} -{'loss': 0.4429, 'grad_norm': 2.5608088970184326, 'learning_rate': 3.557553956834532e-05, 'epoch': 6.45} -{'loss': 0.4318, 'grad_norm': 4.115413188934326, 'learning_rate': 3.555755395683453e-05, 'epoch': 6.45} -{'loss': 0.4488, 'grad_norm': 4.065410137176514, 'learning_rate': 3.5539568345323745e-05, 'epoch': 6.45} -{'loss': 0.4451, 'grad_norm': 4.189690589904785, 'learning_rate': 3.552158273381295e-05, 'epoch': 6.45} -{'loss': 0.4371, 'grad_norm': 2.0924489498138428, 'learning_rate': 3.550359712230216e-05, 'epoch': 6.46} -{'loss': 0.4383, 'grad_norm': 3.3076589107513428, 'learning_rate': 3.548561151079137e-05, 'epoch': 6.46} -{'loss': 0.4357, 'grad_norm': 4.010733604431152, 'learning_rate': 3.5467625899280576e-05, 'epoch': 6.46} -{'loss': 0.4471, 'grad_norm': 2.3713226318359375, 'learning_rate': 3.5449640287769784e-05, 'epoch': 6.46} -{'loss': 0.4369, 'grad_norm': 5.112595081329346, 'learning_rate': 3.5431654676259e-05, 'epoch': 6.46} - 65%|████████████████████████████████████████████████████████████▉ | 3610/5570 [57:42<26:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4413200914859772, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.742, 'eval_steps_per_second': 3.915, 'epoch': 6.46} -{'loss': 0.4391, 'grad_norm': 2.135406017303467, 'learning_rate': 3.54136690647482e-05, 'epoch': 6.46} -{'loss': 0.4373, 'grad_norm': 3.921599864959717, 'learning_rate': 3.5395683453237414e-05, 'epoch': 6.47} -{'loss': 0.4358, 'grad_norm': 3.623476982116699, 'learning_rate': 3.537769784172662e-05, 'epoch': 6.47} -{'loss': 0.4363, 'grad_norm': 3.8889851570129395, 'learning_rate': 3.535971223021583e-05, 'epoch': 6.47} -{'loss': 0.4365, 'grad_norm': 2.299203872680664, 'learning_rate': 3.534172661870504e-05, 'epoch': 6.47} -{'loss': 0.4375, 'grad_norm': 2.2839081287384033, 'learning_rate': 3.5323741007194245e-05, 'epoch': 6.47} -{'loss': 0.4408, 'grad_norm': 4.190700054168701, 'learning_rate': 3.530575539568345e-05, 'epoch': 6.48} -{'loss': 0.4438, 'grad_norm': 5.835695743560791, 'learning_rate': 3.528776978417267e-05, 'epoch': 6.48} -{'loss': 0.4399, 'grad_norm': 3.1453378200531006, 'learning_rate': 3.5269784172661875e-05, 'epoch': 6.48} -{'loss': 0.4397, 'grad_norm': 2.710689067840576, 'learning_rate': 3.5251798561151075e-05, 'epoch': 6.48} - 65%|█████████████████████████████████████████████████████████████ | 3620/5570 [57:52<26:39, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44289135932922363, 'eval_runtime': 1.5431, 'eval_samples_per_second': 466.591, 'eval_steps_per_second': 3.888, 'epoch': 6.48} -{'loss': 0.4417, 'grad_norm': 2.9180896282196045, 'learning_rate': 3.523381294964029e-05, 'epoch': 6.48} -{'loss': 0.4435, 'grad_norm': 2.4147603511810303, 'learning_rate': 3.52158273381295e-05, 'epoch': 6.48} -{'loss': 0.4468, 'grad_norm': 3.5086586475372314, 'learning_rate': 3.5197841726618705e-05, 'epoch': 6.49} -{'loss': 0.4395, 'grad_norm': 3.9300780296325684, 'learning_rate': 3.517985611510792e-05, 'epoch': 6.49} -{'loss': 0.4442, 'grad_norm': 2.748002767562866, 'learning_rate': 3.516187050359712e-05, 'epoch': 6.49} -{'loss': 0.4365, 'grad_norm': 3.133873462677002, 'learning_rate': 3.514388489208633e-05, 'epoch': 6.49} -{'loss': 0.4391, 'grad_norm': 3.0265564918518066, 'learning_rate': 3.512589928057554e-05, 'epoch': 6.49} -{'loss': 0.4177, 'grad_norm': 1.5627012252807617, 'learning_rate': 3.510791366906475e-05, 'epoch': 6.5} -{'loss': 0.4298, 'grad_norm': 4.009857177734375, 'learning_rate': 3.508992805755396e-05, 'epoch': 6.5} -{'loss': 0.4312, 'grad_norm': 1.7774165868759155, 'learning_rate': 3.5071942446043166e-05, 'epoch': 6.5} - 65%|█████████████████████████████████████████████████████████████▎ | 3630/5570 [58:01<26:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.440415620803833, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.288, 'eval_steps_per_second': 3.919, 'epoch': 6.5} -{'loss': 0.4391, 'grad_norm': 1.1433261632919312, 'learning_rate': 3.5053956834532374e-05, 'epoch': 6.5} -{'loss': 0.4403, 'grad_norm': 1.7810965776443481, 'learning_rate': 3.503597122302159e-05, 'epoch': 6.5} -{'loss': 0.4439, 'grad_norm': 5.812127113342285, 'learning_rate': 3.5017985611510796e-05, 'epoch': 6.5} -{'loss': 0.437, 'grad_norm': 4.577444076538086, 'learning_rate': 3.5e-05, 'epoch': 6.51} -{'loss': 0.4368, 'grad_norm': 1.7675299644470215, 'learning_rate': 3.498201438848921e-05, 'epoch': 6.51} -{'loss': 0.4434, 'grad_norm': 2.7758898735046387, 'learning_rate': 3.496402877697842e-05, 'epoch': 6.51} -{'loss': 0.4352, 'grad_norm': 3.6859853267669678, 'learning_rate': 3.494604316546763e-05, 'epoch': 6.51} -{'loss': 0.4391, 'grad_norm': 3.0197269916534424, 'learning_rate': 3.492805755395684e-05, 'epoch': 6.51} -{'loss': 0.4377, 'grad_norm': 2.934330940246582, 'learning_rate': 3.491007194244604e-05, 'epoch': 6.52} -{'loss': 0.4375, 'grad_norm': 2.117312431335449, 'learning_rate': 3.489208633093525e-05, 'epoch': 6.52} - 65%|█████████████████████████████████████████████████████████████▍ | 3640/5570 [58:11<26:06, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44031545519828796, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.297, 'eval_steps_per_second': 3.911, 'epoch': 6.52} -{'loss': 0.4325, 'grad_norm': 1.2768768072128296, 'learning_rate': 3.4874100719424464e-05, 'epoch': 6.52} -{'loss': 0.4417, 'grad_norm': 1.9342738389968872, 'learning_rate': 3.485611510791367e-05, 'epoch': 6.52} -{'loss': 0.4326, 'grad_norm': 2.4945201873779297, 'learning_rate': 3.483812949640288e-05, 'epoch': 6.52} -{'loss': 0.4323, 'grad_norm': 2.484203815460205, 'learning_rate': 3.482014388489209e-05, 'epoch': 6.52} -{'loss': 0.4363, 'grad_norm': 3.278986692428589, 'learning_rate': 3.4802158273381295e-05, 'epoch': 6.53} -{'loss': 0.4335, 'grad_norm': 1.773354411125183, 'learning_rate': 3.478417266187051e-05, 'epoch': 6.53} -{'loss': 0.4439, 'grad_norm': 3.1847219467163086, 'learning_rate': 3.476618705035972e-05, 'epoch': 6.53} -{'loss': 0.446, 'grad_norm': 3.880272388458252, 'learning_rate': 3.474820143884892e-05, 'epoch': 6.53} -{'loss': 0.4512, 'grad_norm': 5.221646308898926, 'learning_rate': 3.473021582733813e-05, 'epoch': 6.53} -{'loss': 0.4411, 'grad_norm': 2.4007718563079834, 'learning_rate': 3.471223021582734e-05, 'epoch': 6.54} - 66%|█████████████████████████████████████████████████████████████▌ | 3650/5570 [58:20<25:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44586580991744995, 'eval_runtime': 1.5258, 'eval_samples_per_second': 471.895, 'eval_steps_per_second': 3.932, 'epoch': 6.54} -{'loss': 0.4488, 'grad_norm': 2.6366541385650635, 'learning_rate': 3.469424460431655e-05, 'epoch': 6.54} -{'loss': 0.4397, 'grad_norm': 3.358574390411377, 'learning_rate': 3.4676258992805756e-05, 'epoch': 6.54} -{'loss': 0.4331, 'grad_norm': 1.5617376565933228, 'learning_rate': 3.4658273381294964e-05, 'epoch': 6.54} -{'loss': 0.4441, 'grad_norm': 2.4595930576324463, 'learning_rate': 3.464028776978417e-05, 'epoch': 6.54} -{'loss': 0.445, 'grad_norm': 2.238560199737549, 'learning_rate': 3.4622302158273386e-05, 'epoch': 6.54} -{'loss': 0.4443, 'grad_norm': 2.7438690662384033, 'learning_rate': 3.4604316546762594e-05, 'epoch': 6.55} -{'loss': 0.43, 'grad_norm': 3.985276699066162, 'learning_rate': 3.45863309352518e-05, 'epoch': 6.55} -{'loss': 0.4356, 'grad_norm': 5.723982810974121, 'learning_rate': 3.456834532374101e-05, 'epoch': 6.55} -{'loss': 0.4351, 'grad_norm': 2.6465368270874023, 'learning_rate': 3.455035971223022e-05, 'epoch': 6.55} -{'loss': 0.428, 'grad_norm': 1.4802556037902832, 'learning_rate': 3.453237410071943e-05, 'epoch': 6.55} - 66%|█████████████████████████████████████████████████████████████▊ | 3660/5570 [58:30<26:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4449268877506256, 'eval_runtime': 1.5499, 'eval_samples_per_second': 464.558, 'eval_steps_per_second': 3.871, 'epoch': 6.55} -{'loss': 0.4357, 'grad_norm': 4.657191276550293, 'learning_rate': 3.451438848920863e-05, 'epoch': 6.55} -{'loss': 0.4456, 'grad_norm': 5.143101215362549, 'learning_rate': 3.449640287769784e-05, 'epoch': 6.56} -{'loss': 0.4438, 'grad_norm': 3.2364771366119385, 'learning_rate': 3.4478417266187054e-05, 'epoch': 6.56} -{'loss': 0.4439, 'grad_norm': 6.057888031005859, 'learning_rate': 3.446043165467626e-05, 'epoch': 6.56} -{'loss': 0.4424, 'grad_norm': 4.70020866394043, 'learning_rate': 3.444244604316547e-05, 'epoch': 6.56} -{'loss': 0.4429, 'grad_norm': 5.911726951599121, 'learning_rate': 3.442446043165468e-05, 'epoch': 6.56} -{'loss': 0.4398, 'grad_norm': 4.34298038482666, 'learning_rate': 3.4406474820143885e-05, 'epoch': 6.57} -{'loss': 0.4269, 'grad_norm': 1.761250615119934, 'learning_rate': 3.438848920863309e-05, 'epoch': 6.57} -{'loss': 0.4427, 'grad_norm': 5.865787029266357, 'learning_rate': 3.437050359712231e-05, 'epoch': 6.57} -{'loss': 0.4494, 'grad_norm': 5.637895107269287, 'learning_rate': 3.435251798561151e-05, 'epoch': 6.57} - 66%|█████████████████████████████████████████████████████████████▉ | 3670/5570 [58:40<25:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4433888792991638, 'eval_runtime': 1.5596, 'eval_samples_per_second': 461.643, 'eval_steps_per_second': 3.847, 'epoch': 6.57} -{'loss': 0.4234, 'grad_norm': 2.6690123081207275, 'learning_rate': 3.433453237410072e-05, 'epoch': 6.57} -{'loss': 0.4349, 'grad_norm': 1.6458758115768433, 'learning_rate': 3.431654676258993e-05, 'epoch': 6.57} -{'loss': 0.437, 'grad_norm': 2.9339284896850586, 'learning_rate': 3.429856115107914e-05, 'epoch': 6.58} -{'loss': 0.4383, 'grad_norm': 3.226989269256592, 'learning_rate': 3.4280575539568346e-05, 'epoch': 6.58} -{'loss': 0.433, 'grad_norm': 2.0715503692626953, 'learning_rate': 3.4262589928057554e-05, 'epoch': 6.58} -{'loss': 0.4425, 'grad_norm': 4.027124404907227, 'learning_rate': 3.424460431654676e-05, 'epoch': 6.58} -{'loss': 0.4354, 'grad_norm': 4.89696741104126, 'learning_rate': 3.4226618705035976e-05, 'epoch': 6.58} -{'loss': 0.4385, 'grad_norm': 3.208340644836426, 'learning_rate': 3.4208633093525184e-05, 'epoch': 6.59} -{'loss': 0.4327, 'grad_norm': 1.5347483158111572, 'learning_rate': 3.4190647482014384e-05, 'epoch': 6.59} -{'loss': 0.4417, 'grad_norm': 4.070926666259766, 'learning_rate': 3.41726618705036e-05, 'epoch': 6.59} - 66%|██████████████████████████████████████████████████████████████ | 3680/5570 [58:49<25:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44509202241897583, 'eval_runtime': 1.5414, 'eval_samples_per_second': 467.098, 'eval_steps_per_second': 3.892, 'epoch': 6.59} -{'loss': 0.4338, 'grad_norm': 5.476959705352783, 'learning_rate': 3.415467625899281e-05, 'epoch': 6.59} -{'loss': 0.4378, 'grad_norm': 3.4239375591278076, 'learning_rate': 3.4136690647482014e-05, 'epoch': 6.59} -{'loss': 0.4342, 'grad_norm': 1.9560335874557495, 'learning_rate': 3.411870503597123e-05, 'epoch': 6.59} -{'loss': 0.4385, 'grad_norm': 4.944381237030029, 'learning_rate': 3.410071942446043e-05, 'epoch': 6.6} -{'loss': 0.4472, 'grad_norm': 3.9208037853240967, 'learning_rate': 3.4082733812949644e-05, 'epoch': 6.6} -{'loss': 0.4497, 'grad_norm': 4.017661094665527, 'learning_rate': 3.406474820143885e-05, 'epoch': 6.6} -{'loss': 0.426, 'grad_norm': 4.352654457092285, 'learning_rate': 3.404676258992806e-05, 'epoch': 6.6} -{'loss': 0.4364, 'grad_norm': 4.157968521118164, 'learning_rate': 3.402877697841727e-05, 'epoch': 6.6} -{'loss': 0.4288, 'grad_norm': 2.2891972064971924, 'learning_rate': 3.4010791366906475e-05, 'epoch': 6.61} -{'loss': 0.4331, 'grad_norm': 3.774186134338379, 'learning_rate': 3.399280575539568e-05, 'epoch': 6.61} - 66%|██████████████████████████████████████████████████████████████▎ | 3690/5570 [58:59<25:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43963199853897095, 'eval_runtime': 1.5428, 'eval_samples_per_second': 466.687, 'eval_steps_per_second': 3.889, 'epoch': 6.61} -{'loss': 0.4347, 'grad_norm': 2.3064982891082764, 'learning_rate': 3.39748201438849e-05, 'epoch': 6.61} -{'loss': 0.4187, 'grad_norm': 2.4759600162506104, 'learning_rate': 3.3956834532374105e-05, 'epoch': 6.61} -{'loss': 0.4277, 'grad_norm': 1.5881644487380981, 'learning_rate': 3.3938848920863306e-05, 'epoch': 6.61} -{'loss': 0.437, 'grad_norm': 3.6327855587005615, 'learning_rate': 3.392086330935252e-05, 'epoch': 6.61} -{'loss': 0.437, 'grad_norm': 3.696751356124878, 'learning_rate': 3.390287769784173e-05, 'epoch': 6.62} -{'loss': 0.4326, 'grad_norm': 2.3204898834228516, 'learning_rate': 3.3884892086330936e-05, 'epoch': 6.62} -{'loss': 0.4356, 'grad_norm': 3.50565242767334, 'learning_rate': 3.386690647482015e-05, 'epoch': 6.62} -{'loss': 0.4331, 'grad_norm': 6.275782108306885, 'learning_rate': 3.384892086330935e-05, 'epoch': 6.62} -{'loss': 0.4377, 'grad_norm': 4.150999069213867, 'learning_rate': 3.383093525179856e-05, 'epoch': 6.62} -{'loss': 0.4451, 'grad_norm': 2.2727103233337402, 'learning_rate': 3.3812949640287773e-05, 'epoch': 6.62} - 66%|██████████████████████████████████████████████████████████████▍ | 3700/5570 [59:08<25:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44148585200309753, 'eval_runtime': 1.537, 'eval_samples_per_second': 468.449, 'eval_steps_per_second': 3.904, 'epoch': 6.62} -{'loss': 0.4353, 'grad_norm': 5.145932197570801, 'learning_rate': 3.379496402877698e-05, 'epoch': 6.63} -{'loss': 0.4363, 'grad_norm': 4.784502983093262, 'learning_rate': 3.377697841726619e-05, 'epoch': 6.63} -{'loss': 0.4385, 'grad_norm': 2.9994349479675293, 'learning_rate': 3.3758992805755397e-05, 'epoch': 6.63} -{'loss': 0.4313, 'grad_norm': 3.557457447052002, 'learning_rate': 3.3741007194244604e-05, 'epoch': 6.63} -{'loss': 0.4431, 'grad_norm': 3.836158275604248, 'learning_rate': 3.372302158273382e-05, 'epoch': 6.63} -{'loss': 0.429, 'grad_norm': 5.365045547485352, 'learning_rate': 3.3705035971223026e-05, 'epoch': 6.64} -{'loss': 0.435, 'grad_norm': 3.6566407680511475, 'learning_rate': 3.368705035971223e-05, 'epoch': 6.64} -{'loss': 0.4386, 'grad_norm': 2.6003763675689697, 'learning_rate': 3.366906474820144e-05, 'epoch': 6.64} -{'loss': 0.4377, 'grad_norm': 4.16218376159668, 'learning_rate': 3.365107913669065e-05, 'epoch': 6.64} -{'loss': 0.4326, 'grad_norm': 1.6720517873764038, 'learning_rate': 3.363309352517986e-05, 'epoch': 6.64} - 67%|██████████████████████████████████████████████████████████████▌ | 3710/5570 [59:18<25:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44016095995903015, 'eval_runtime': 1.5397, 'eval_samples_per_second': 467.618, 'eval_steps_per_second': 3.897, 'epoch': 6.64} -{'loss': 0.4382, 'grad_norm': 4.679454803466797, 'learning_rate': 3.3615107913669065e-05, 'epoch': 6.64} -{'loss': 0.4393, 'grad_norm': 6.107263088226318, 'learning_rate': 3.359712230215827e-05, 'epoch': 6.65} -{'loss': 0.4319, 'grad_norm': 2.08370304107666, 'learning_rate': 3.357913669064748e-05, 'epoch': 6.65} -{'loss': 0.4307, 'grad_norm': 2.582167863845825, 'learning_rate': 3.3561151079136695e-05, 'epoch': 6.65} -{'loss': 0.44, 'grad_norm': 4.569221496582031, 'learning_rate': 3.35431654676259e-05, 'epoch': 6.65} -{'loss': 0.4298, 'grad_norm': 1.2202856540679932, 'learning_rate': 3.352517985611511e-05, 'epoch': 6.65} -{'loss': 0.4313, 'grad_norm': 2.9167563915252686, 'learning_rate': 3.350719424460432e-05, 'epoch': 6.66} -{'loss': 0.439, 'grad_norm': 2.3986423015594482, 'learning_rate': 3.3489208633093526e-05, 'epoch': 6.66} -{'loss': 0.4305, 'grad_norm': 1.2476433515548706, 'learning_rate': 3.347122302158274e-05, 'epoch': 6.66} -{'loss': 0.4275, 'grad_norm': 1.5093353986740112, 'learning_rate': 3.345323741007194e-05, 'epoch': 6.66} - 67%|██████████████████████████████████████████████████████████████▊ | 3720/5570 [59:28<25:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44132205843925476, 'eval_runtime': 1.5522, 'eval_samples_per_second': 463.848, 'eval_steps_per_second': 3.865, 'epoch': 6.66} -{'loss': 0.4467, 'grad_norm': 3.7407407760620117, 'learning_rate': 3.343525179856115e-05, 'epoch': 6.66} -{'loss': 0.4454, 'grad_norm': 2.58209490776062, 'learning_rate': 3.341726618705036e-05, 'epoch': 6.66} -{'loss': 0.4389, 'grad_norm': 2.8789727687835693, 'learning_rate': 3.339928057553957e-05, 'epoch': 6.67} -{'loss': 0.4475, 'grad_norm': 2.9883556365966797, 'learning_rate': 3.338129496402878e-05, 'epoch': 6.67} -{'loss': 0.4373, 'grad_norm': 2.7755696773529053, 'learning_rate': 3.3363309352517986e-05, 'epoch': 6.67} -{'loss': 0.4439, 'grad_norm': 4.035004615783691, 'learning_rate': 3.3345323741007194e-05, 'epoch': 6.67} -{'loss': 0.4417, 'grad_norm': 3.8859589099884033, 'learning_rate': 3.33273381294964e-05, 'epoch': 6.67} -{'loss': 0.4369, 'grad_norm': 2.388131618499756, 'learning_rate': 3.3309352517985616e-05, 'epoch': 6.68} -{'loss': 0.4317, 'grad_norm': 2.8314709663391113, 'learning_rate': 3.329136690647482e-05, 'epoch': 6.68} -{'loss': 0.4318, 'grad_norm': 4.538196563720703, 'learning_rate': 3.327338129496403e-05, 'epoch': 6.68} - 67%|██████████████████████████████████████████████████████████████▉ | 3730/5570 [59:37<24:55, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4390474855899811, 'eval_runtime': 1.5402, 'eval_samples_per_second': 467.469, 'eval_steps_per_second': 3.896, 'epoch': 6.68} -{'loss': 0.4309, 'grad_norm': 2.5092644691467285, 'learning_rate': 3.325539568345324e-05, 'epoch': 6.68} -{'loss': 0.439, 'grad_norm': 3.4435558319091797, 'learning_rate': 3.323741007194245e-05, 'epoch': 6.68} -{'loss': 0.4401, 'grad_norm': 3.385854482650757, 'learning_rate': 3.321942446043166e-05, 'epoch': 6.68} -{'loss': 0.4383, 'grad_norm': 2.2783288955688477, 'learning_rate': 3.320143884892086e-05, 'epoch': 6.69} -{'loss': 0.4365, 'grad_norm': 1.7543609142303467, 'learning_rate': 3.318345323741007e-05, 'epoch': 6.69} -{'loss': 0.426, 'grad_norm': 3.265782117843628, 'learning_rate': 3.3165467625899285e-05, 'epoch': 6.69} -{'loss': 0.4393, 'grad_norm': 3.80755877494812, 'learning_rate': 3.314748201438849e-05, 'epoch': 6.69} -{'loss': 0.4355, 'grad_norm': 3.338413715362549, 'learning_rate': 3.31294964028777e-05, 'epoch': 6.69} -{'loss': 0.4395, 'grad_norm': 1.4246271848678589, 'learning_rate': 3.311151079136691e-05, 'epoch': 6.69} -{'loss': 0.4266, 'grad_norm': 2.8267362117767334, 'learning_rate': 3.3093525179856116e-05, 'epoch': 6.7} - 67%|███████████████████████████████████████████████████████████████ | 3740/5570 [59:47<24:51, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43962812423706055, 'eval_runtime': 1.5415, 'eval_samples_per_second': 467.065, 'eval_steps_per_second': 3.892, 'epoch': 6.7} -{'loss': 0.4348, 'grad_norm': 3.0774247646331787, 'learning_rate': 3.307553956834532e-05, 'epoch': 6.7} -{'loss': 0.4366, 'grad_norm': 2.7838618755340576, 'learning_rate': 3.305755395683454e-05, 'epoch': 6.7} -{'loss': 0.4451, 'grad_norm': 4.602606296539307, 'learning_rate': 3.303956834532374e-05, 'epoch': 6.7} -{'loss': 0.4405, 'grad_norm': 2.33559250831604, 'learning_rate': 3.302158273381295e-05, 'epoch': 6.7} -{'loss': 0.4336, 'grad_norm': 3.692537307739258, 'learning_rate': 3.300359712230216e-05, 'epoch': 6.71} -{'loss': 0.4331, 'grad_norm': 4.5814738273620605, 'learning_rate': 3.298561151079137e-05, 'epoch': 6.71} -{'loss': 0.4471, 'grad_norm': 4.070991039276123, 'learning_rate': 3.2967625899280576e-05, 'epoch': 6.71} -{'loss': 0.4362, 'grad_norm': 3.169536828994751, 'learning_rate': 3.2949640287769784e-05, 'epoch': 6.71} -{'loss': 0.4416, 'grad_norm': 4.744383811950684, 'learning_rate': 3.293165467625899e-05, 'epoch': 6.71} -{'loss': 0.4309, 'grad_norm': 4.672760963439941, 'learning_rate': 3.2913669064748206e-05, 'epoch': 6.71} - 67%|███████████████████████████████████████████████████████████████▎ | 3750/5570 [59:56<24:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43898704648017883, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.717, 'eval_steps_per_second': 3.914, 'epoch': 6.71} -{'loss': 0.4338, 'grad_norm': 4.061611652374268, 'learning_rate': 3.2895683453237414e-05, 'epoch': 6.72} -{'loss': 0.4342, 'grad_norm': 2.4861130714416504, 'learning_rate': 3.2877697841726615e-05, 'epoch': 6.72} -{'loss': 0.4329, 'grad_norm': 3.6637778282165527, 'learning_rate': 3.285971223021583e-05, 'epoch': 6.72} -{'loss': 0.4366, 'grad_norm': 3.531905174255371, 'learning_rate': 3.284172661870504e-05, 'epoch': 6.72} -{'loss': 0.4383, 'grad_norm': 2.768510580062866, 'learning_rate': 3.2823741007194245e-05, 'epoch': 6.72} -{'loss': 0.4337, 'grad_norm': 3.702226161956787, 'learning_rate': 3.280575539568346e-05, 'epoch': 6.73} -{'loss': 0.4238, 'grad_norm': 3.2876696586608887, 'learning_rate': 3.278776978417266e-05, 'epoch': 6.73} -{'loss': 0.4328, 'grad_norm': 2.9682884216308594, 'learning_rate': 3.2769784172661875e-05, 'epoch': 6.73} -{'loss': 0.4428, 'grad_norm': 3.312561273574829, 'learning_rate': 3.275179856115108e-05, 'epoch': 6.73} -{'loss': 0.4362, 'grad_norm': 3.5212650299072266, 'learning_rate': 3.273381294964029e-05, 'epoch': 6.73} - 68%|██████████████████████████████████████████████████████████████ | 3760/5570 [1:00:06<24:49, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43796080350875854, 'eval_runtime': 1.5363, 'eval_samples_per_second': 468.669, 'eval_steps_per_second': 3.906, 'epoch': 6.73} -{'loss': 0.4348, 'grad_norm': 3.2274725437164307, 'learning_rate': 3.27158273381295e-05, 'epoch': 6.73} -{'loss': 0.4253, 'grad_norm': 3.0238595008850098, 'learning_rate': 3.2697841726618706e-05, 'epoch': 6.74} -{'loss': 0.443, 'grad_norm': 2.986098527908325, 'learning_rate': 3.267985611510791e-05, 'epoch': 6.74} -{'loss': 0.4421, 'grad_norm': 3.7900452613830566, 'learning_rate': 3.266187050359713e-05, 'epoch': 6.74} -{'loss': 0.4333, 'grad_norm': 2.576606273651123, 'learning_rate': 3.2643884892086335e-05, 'epoch': 6.74} -{'loss': 0.4358, 'grad_norm': 4.579629421234131, 'learning_rate': 3.2625899280575536e-05, 'epoch': 6.74} -{'loss': 0.4469, 'grad_norm': 4.836523056030273, 'learning_rate': 3.260791366906475e-05, 'epoch': 6.75} -{'loss': 0.4288, 'grad_norm': 3.696319580078125, 'learning_rate': 3.258992805755396e-05, 'epoch': 6.75} -{'loss': 0.4322, 'grad_norm': 3.6111948490142822, 'learning_rate': 3.2571942446043166e-05, 'epoch': 6.75} -{'loss': 0.4299, 'grad_norm': 3.730109453201294, 'learning_rate': 3.2553956834532374e-05, 'epoch': 6.75} - 68%|██████████████████████████████████████████████████████████████▎ | 3770/5570 [1:00:15<24:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44317489862442017, 'eval_runtime': 1.5449, 'eval_samples_per_second': 466.037, 'eval_steps_per_second': 3.884, 'epoch': 6.75} -{'loss': 0.4287, 'grad_norm': 4.662420272827148, 'learning_rate': 3.253597122302158e-05, 'epoch': 6.75} -{'loss': 0.4392, 'grad_norm': 6.085930347442627, 'learning_rate': 3.251798561151079e-05, 'epoch': 6.75} -{'loss': 0.4382, 'grad_norm': 3.2601511478424072, 'learning_rate': 3.2500000000000004e-05, 'epoch': 6.76} -{'loss': 0.4315, 'grad_norm': 4.201462268829346, 'learning_rate': 3.248201438848921e-05, 'epoch': 6.76} -{'loss': 0.438, 'grad_norm': 4.864606857299805, 'learning_rate': 3.246402877697842e-05, 'epoch': 6.76} -{'loss': 0.4411, 'grad_norm': 5.506783485412598, 'learning_rate': 3.244604316546763e-05, 'epoch': 6.76} -{'loss': 0.4348, 'grad_norm': 1.7538164854049683, 'learning_rate': 3.2428057553956835e-05, 'epoch': 6.76} -{'loss': 0.4312, 'grad_norm': 3.731393575668335, 'learning_rate': 3.241007194244605e-05, 'epoch': 6.76} -{'loss': 0.4407, 'grad_norm': 5.286626815795898, 'learning_rate': 3.239208633093525e-05, 'epoch': 6.77} -{'loss': 0.445, 'grad_norm': 4.384410858154297, 'learning_rate': 3.237410071942446e-05, 'epoch': 6.77} - 68%|██████████████████████████████████████████████████████████████▍ | 3780/5570 [1:00:25<24:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4394923448562622, 'eval_runtime': 1.5603, 'eval_samples_per_second': 461.459, 'eval_steps_per_second': 3.845, 'epoch': 6.77} -{'loss': 0.4384, 'grad_norm': 2.6928982734680176, 'learning_rate': 3.235611510791367e-05, 'epoch': 6.77} -{'loss': 0.4367, 'grad_norm': 3.1208555698394775, 'learning_rate': 3.233812949640288e-05, 'epoch': 6.77} -{'loss': 0.4258, 'grad_norm': 3.8049676418304443, 'learning_rate': 3.232014388489209e-05, 'epoch': 6.77} -{'loss': 0.4413, 'grad_norm': 4.924341201782227, 'learning_rate': 3.2302158273381295e-05, 'epoch': 6.78} -{'loss': 0.4316, 'grad_norm': 2.990403413772583, 'learning_rate': 3.22841726618705e-05, 'epoch': 6.78} -{'loss': 0.431, 'grad_norm': 1.69282865524292, 'learning_rate': 3.226618705035971e-05, 'epoch': 6.78} -{'loss': 0.4376, 'grad_norm': 4.755491256713867, 'learning_rate': 3.2248201438848925e-05, 'epoch': 6.78} -{'loss': 0.4376, 'grad_norm': 5.105283260345459, 'learning_rate': 3.2230215827338126e-05, 'epoch': 6.78} -{'loss': 0.4342, 'grad_norm': 4.658510208129883, 'learning_rate': 3.221223021582734e-05, 'epoch': 6.78} -{'loss': 0.4392, 'grad_norm': 2.6432418823242188, 'learning_rate': 3.219424460431655e-05, 'epoch': 6.79} - 68%|██████████████████████████████████████████████████████████████▌ | 3790/5570 [1:00:35<24:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.438446044921875, 'eval_runtime': 1.5296, 'eval_samples_per_second': 470.699, 'eval_steps_per_second': 3.922, 'epoch': 6.79} -{'loss': 0.4231, 'grad_norm': 3.4072794914245605, 'learning_rate': 3.2176258992805756e-05, 'epoch': 6.79} -{'loss': 0.4294, 'grad_norm': 2.386896848678589, 'learning_rate': 3.215827338129497e-05, 'epoch': 6.79} -{'loss': 0.4181, 'grad_norm': 2.8982062339782715, 'learning_rate': 3.214028776978417e-05, 'epoch': 6.79} -{'loss': 0.4254, 'grad_norm': 2.398259162902832, 'learning_rate': 3.212230215827338e-05, 'epoch': 6.79} -{'loss': 0.4334, 'grad_norm': 2.8907060623168945, 'learning_rate': 3.2104316546762594e-05, 'epoch': 6.8} -{'loss': 0.4363, 'grad_norm': 3.78625226020813, 'learning_rate': 3.20863309352518e-05, 'epoch': 6.8} -{'loss': 0.436, 'grad_norm': 2.955690383911133, 'learning_rate': 3.206834532374101e-05, 'epoch': 6.8} -{'loss': 0.4318, 'grad_norm': 1.9130940437316895, 'learning_rate': 3.205035971223022e-05, 'epoch': 6.8} -{'loss': 0.4394, 'grad_norm': 1.1982728242874146, 'learning_rate': 3.2032374100719425e-05, 'epoch': 6.8} -{'loss': 0.4382, 'grad_norm': 1.554045557975769, 'learning_rate': 3.201438848920863e-05, 'epoch': 6.8} - 68%|██████████████████████████████████████████████████████████████▊ | 3800/5570 [1:00:44<23:59, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43808305263519287, 'eval_runtime': 1.5304, 'eval_samples_per_second': 470.451, 'eval_steps_per_second': 3.92, 'epoch': 6.8} -{'loss': 0.4351, 'grad_norm': 5.542013645172119, 'learning_rate': 3.199640287769785e-05, 'epoch': 6.81} -{'loss': 0.4275, 'grad_norm': 2.4520986080169678, 'learning_rate': 3.197841726618705e-05, 'epoch': 6.81} -{'loss': 0.4322, 'grad_norm': 4.874550819396973, 'learning_rate': 3.196043165467626e-05, 'epoch': 6.81} -{'loss': 0.4313, 'grad_norm': 4.258789539337158, 'learning_rate': 3.194244604316547e-05, 'epoch': 6.81} -{'loss': 0.4451, 'grad_norm': 3.2169651985168457, 'learning_rate': 3.192446043165468e-05, 'epoch': 6.81} -{'loss': 0.4405, 'grad_norm': 3.2433688640594482, 'learning_rate': 3.190647482014389e-05, 'epoch': 6.82} -{'loss': 0.4348, 'grad_norm': 5.405192852020264, 'learning_rate': 3.188848920863309e-05, 'epoch': 6.82} -{'loss': 0.4362, 'grad_norm': 6.2744245529174805, 'learning_rate': 3.18705035971223e-05, 'epoch': 6.82} -{'loss': 0.4347, 'grad_norm': 2.0240421295166016, 'learning_rate': 3.1852517985611515e-05, 'epoch': 6.82} -{'loss': 0.4343, 'grad_norm': 3.9553029537200928, 'learning_rate': 3.183453237410072e-05, 'epoch': 6.82} - 68%|██████████████████████████████████████████████████████████████▉ | 3810/5570 [1:00:54<23:54, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4448195695877075, 'eval_runtime': 1.5354, 'eval_samples_per_second': 468.94, 'eval_steps_per_second': 3.908, 'epoch': 6.82} -{'loss': 0.4295, 'grad_norm': 5.425248146057129, 'learning_rate': 3.1816546762589924e-05, 'epoch': 6.82} -{'loss': 0.4302, 'grad_norm': 3.6092681884765625, 'learning_rate': 3.179856115107914e-05, 'epoch': 6.83} -{'loss': 0.4452, 'grad_norm': 2.4693620204925537, 'learning_rate': 3.1780575539568346e-05, 'epoch': 6.83} -{'loss': 0.4435, 'grad_norm': 2.3205485343933105, 'learning_rate': 3.1762589928057554e-05, 'epoch': 6.83} -{'loss': 0.432, 'grad_norm': 4.898065567016602, 'learning_rate': 3.174460431654677e-05, 'epoch': 6.83} -{'loss': 0.4283, 'grad_norm': 3.3478779792785645, 'learning_rate': 3.172661870503597e-05, 'epoch': 6.83} -{'loss': 0.4306, 'grad_norm': 2.2321324348449707, 'learning_rate': 3.1708633093525184e-05, 'epoch': 6.83} -{'loss': 0.4378, 'grad_norm': 7.122260093688965, 'learning_rate': 3.169064748201439e-05, 'epoch': 6.84} -{'loss': 0.4414, 'grad_norm': 6.587519645690918, 'learning_rate': 3.16726618705036e-05, 'epoch': 6.84} -{'loss': 0.4362, 'grad_norm': 5.950223922729492, 'learning_rate': 3.165467625899281e-05, 'epoch': 6.84} - 69%|███████████████████████████████████████████████████████████████ | 3820/5570 [1:01:03<23:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4406161904335022, 'eval_runtime': 1.5309, 'eval_samples_per_second': 470.326, 'eval_steps_per_second': 3.919, 'epoch': 6.84} -{'loss': 0.4365, 'grad_norm': 1.764927625656128, 'learning_rate': 3.1636690647482015e-05, 'epoch': 6.84} -{'loss': 0.4384, 'grad_norm': 3.0942723751068115, 'learning_rate': 3.161870503597122e-05, 'epoch': 6.84} -{'loss': 0.4342, 'grad_norm': 5.780181884765625, 'learning_rate': 3.160071942446044e-05, 'epoch': 6.85} -{'loss': 0.4366, 'grad_norm': 5.29359769821167, 'learning_rate': 3.1582733812949644e-05, 'epoch': 6.85} -{'loss': 0.4416, 'grad_norm': 6.294705867767334, 'learning_rate': 3.1564748201438845e-05, 'epoch': 6.85} -{'loss': 0.4311, 'grad_norm': 1.177573323249817, 'learning_rate': 3.154676258992806e-05, 'epoch': 6.85} -{'loss': 0.438, 'grad_norm': 5.154175758361816, 'learning_rate': 3.152877697841727e-05, 'epoch': 6.85} -{'loss': 0.4467, 'grad_norm': 4.185173034667969, 'learning_rate': 3.1510791366906475e-05, 'epoch': 6.85} -{'loss': 0.4517, 'grad_norm': 6.888185501098633, 'learning_rate': 3.149280575539568e-05, 'epoch': 6.86} -{'loss': 0.436, 'grad_norm': 4.972667217254639, 'learning_rate': 3.147482014388489e-05, 'epoch': 6.86} - 69%|███████████████████████████████████████████████████████████████▎ | 3830/5570 [1:01:13<23:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44132471084594727, 'eval_runtime': 1.5335, 'eval_samples_per_second': 469.5, 'eval_steps_per_second': 3.913, 'epoch': 6.86} -{'loss': 0.428, 'grad_norm': 4.4946417808532715, 'learning_rate': 3.1456834532374105e-05, 'epoch': 6.86} -{'loss': 0.4491, 'grad_norm': 5.576349258422852, 'learning_rate': 3.143884892086331e-05, 'epoch': 6.86} -{'loss': 0.4426, 'grad_norm': 3.477356433868408, 'learning_rate': 3.142086330935252e-05, 'epoch': 6.86} -{'loss': 0.4311, 'grad_norm': 1.114400029182434, 'learning_rate': 3.140287769784173e-05, 'epoch': 6.87} -{'loss': 0.4374, 'grad_norm': 2.405618667602539, 'learning_rate': 3.1384892086330936e-05, 'epoch': 6.87} -{'loss': 0.437, 'grad_norm': 2.7754292488098145, 'learning_rate': 3.1366906474820144e-05, 'epoch': 6.87} -{'loss': 0.4217, 'grad_norm': 1.5389589071273804, 'learning_rate': 3.134892086330936e-05, 'epoch': 6.87} -{'loss': 0.44, 'grad_norm': 1.8034391403198242, 'learning_rate': 3.133093525179856e-05, 'epoch': 6.87} -{'loss': 0.4414, 'grad_norm': 3.2115042209625244, 'learning_rate': 3.131294964028777e-05, 'epoch': 6.87} -{'loss': 0.4501, 'grad_norm': 2.157524585723877, 'learning_rate': 3.129496402877698e-05, 'epoch': 6.88} - 69%|███████████████████████████████████████████████████████████████▍ | 3840/5570 [1:01:22<23:33, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44025665521621704, 'eval_runtime': 1.5327, 'eval_samples_per_second': 469.754, 'eval_steps_per_second': 3.915, 'epoch': 6.88} -{'loss': 0.4256, 'grad_norm': 3.849057197570801, 'learning_rate': 3.127697841726619e-05, 'epoch': 6.88} -{'loss': 0.4445, 'grad_norm': 4.51555871963501, 'learning_rate': 3.12589928057554e-05, 'epoch': 6.88} -{'loss': 0.4428, 'grad_norm': 2.176097869873047, 'learning_rate': 3.1241007194244605e-05, 'epoch': 6.88} -{'loss': 0.4372, 'grad_norm': 3.190282106399536, 'learning_rate': 3.122302158273381e-05, 'epoch': 6.88} -{'loss': 0.4415, 'grad_norm': 4.288638114929199, 'learning_rate': 3.120503597122303e-05, 'epoch': 6.89} -{'loss': 0.4301, 'grad_norm': 4.4892354011535645, 'learning_rate': 3.1187050359712234e-05, 'epoch': 6.89} -{'loss': 0.4263, 'grad_norm': 2.3226053714752197, 'learning_rate': 3.116906474820144e-05, 'epoch': 6.89} -{'loss': 0.432, 'grad_norm': 3.655017852783203, 'learning_rate': 3.115107913669065e-05, 'epoch': 6.89} -{'loss': 0.4397, 'grad_norm': 1.8782587051391602, 'learning_rate': 3.113309352517986e-05, 'epoch': 6.89} -{'loss': 0.4326, 'grad_norm': 2.62428879737854, 'learning_rate': 3.1115107913669065e-05, 'epoch': 6.89} - 69%|███████████████████████████████████████████████████████████████▌ | 3850/5570 [1:01:32<23:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4413786232471466, 'eval_runtime': 1.5454, 'eval_samples_per_second': 465.911, 'eval_steps_per_second': 3.883, 'epoch': 6.89} -{'loss': 0.4427, 'grad_norm': 7.046680927276611, 'learning_rate': 3.109712230215828e-05, 'epoch': 6.9} -{'loss': 0.4299, 'grad_norm': 4.6039628982543945, 'learning_rate': 3.107913669064748e-05, 'epoch': 6.9} -{'loss': 0.4321, 'grad_norm': 1.1453646421432495, 'learning_rate': 3.106115107913669e-05, 'epoch': 6.9} -{'loss': 0.4408, 'grad_norm': 5.083995819091797, 'learning_rate': 3.10431654676259e-05, 'epoch': 6.9} -{'loss': 0.4302, 'grad_norm': 4.7188520431518555, 'learning_rate': 3.102517985611511e-05, 'epoch': 6.9} -{'loss': 0.4364, 'grad_norm': 2.6783876419067383, 'learning_rate': 3.100719424460432e-05, 'epoch': 6.9} -{'loss': 0.4267, 'grad_norm': 2.4009926319122314, 'learning_rate': 3.0989208633093526e-05, 'epoch': 6.91} -{'loss': 0.4382, 'grad_norm': 2.1397838592529297, 'learning_rate': 3.0971223021582734e-05, 'epoch': 6.91} -{'loss': 0.4316, 'grad_norm': 3.1440694332122803, 'learning_rate': 3.095323741007194e-05, 'epoch': 6.91} -{'loss': 0.4302, 'grad_norm': 1.5846434831619263, 'learning_rate': 3.0935251798561156e-05, 'epoch': 6.91} - 69%|███████████████████████████████████████████████████████████████▊ | 3860/5570 [1:01:42<23:22, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.439028263092041, 'eval_runtime': 1.5353, 'eval_samples_per_second': 468.954, 'eval_steps_per_second': 3.908, 'epoch': 6.91} -{'loss': 0.4335, 'grad_norm': 3.2610363960266113, 'learning_rate': 3.091726618705036e-05, 'epoch': 6.91} -{'loss': 0.4262, 'grad_norm': 3.880669355392456, 'learning_rate': 3.089928057553957e-05, 'epoch': 6.92} -{'loss': 0.4385, 'grad_norm': 2.928133249282837, 'learning_rate': 3.088129496402878e-05, 'epoch': 6.92} -{'loss': 0.4329, 'grad_norm': 1.9245818853378296, 'learning_rate': 3.086330935251799e-05, 'epoch': 6.92} -{'loss': 0.4325, 'grad_norm': 3.658627986907959, 'learning_rate': 3.08453237410072e-05, 'epoch': 6.92} -{'loss': 0.4323, 'grad_norm': 4.861671447753906, 'learning_rate': 3.08273381294964e-05, 'epoch': 6.92} -{'loss': 0.4338, 'grad_norm': 1.7601256370544434, 'learning_rate': 3.080935251798561e-05, 'epoch': 6.92} -{'loss': 0.4349, 'grad_norm': 1.1522871255874634, 'learning_rate': 3.0791366906474824e-05, 'epoch': 6.93} -{'loss': 0.4384, 'grad_norm': 4.542685508728027, 'learning_rate': 3.077338129496403e-05, 'epoch': 6.93} -{'loss': 0.4364, 'grad_norm': 5.873223781585693, 'learning_rate': 3.075539568345324e-05, 'epoch': 6.93} - 69%|███████████████████████████████████████████████████████████████▉ | 3870/5570 [1:01:51<23:09, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4396696388721466, 'eval_runtime': 1.5472, 'eval_samples_per_second': 465.372, 'eval_steps_per_second': 3.878, 'epoch': 6.93} -{'loss': 0.4449, 'grad_norm': 4.304497241973877, 'learning_rate': 3.073741007194245e-05, 'epoch': 6.93} -{'loss': 0.4368, 'grad_norm': 2.0049638748168945, 'learning_rate': 3.0719424460431655e-05, 'epoch': 6.93} -{'loss': 0.441, 'grad_norm': 6.675095081329346, 'learning_rate': 3.070143884892086e-05, 'epoch': 6.94} -{'loss': 0.4472, 'grad_norm': 5.436043739318848, 'learning_rate': 3.068345323741008e-05, 'epoch': 6.94} -{'loss': 0.4498, 'grad_norm': 6.895709991455078, 'learning_rate': 3.066546762589928e-05, 'epoch': 6.94} -{'loss': 0.4376, 'grad_norm': 2.4736998081207275, 'learning_rate': 3.064748201438849e-05, 'epoch': 6.94} -{'loss': 0.4251, 'grad_norm': 4.499992370605469, 'learning_rate': 3.06294964028777e-05, 'epoch': 6.94} -{'loss': 0.4426, 'grad_norm': 8.37601375579834, 'learning_rate': 3.061151079136691e-05, 'epoch': 6.94} -{'loss': 0.4504, 'grad_norm': 7.7565813064575195, 'learning_rate': 3.0593525179856116e-05, 'epoch': 6.95} -{'loss': 0.4531, 'grad_norm': 5.665317058563232, 'learning_rate': 3.0575539568345324e-05, 'epoch': 6.95} - 70%|████████████████████████████████████████████████████████████████ | 3880/5570 [1:02:01<23:06, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4428194761276245, 'eval_runtime': 1.5486, 'eval_samples_per_second': 464.934, 'eval_steps_per_second': 3.874, 'epoch': 6.95} -{'loss': 0.4354, 'grad_norm': 2.8378539085388184, 'learning_rate': 3.055755395683453e-05, 'epoch': 6.95} -{'loss': 0.4423, 'grad_norm': 4.420062065124512, 'learning_rate': 3.0539568345323746e-05, 'epoch': 6.95} -{'loss': 0.4435, 'grad_norm': 9.234886169433594, 'learning_rate': 3.0521582733812953e-05, 'epoch': 6.95} -{'loss': 0.4372, 'grad_norm': 7.682061195373535, 'learning_rate': 3.0503597122302158e-05, 'epoch': 6.96} -{'loss': 0.4342, 'grad_norm': 3.830751419067383, 'learning_rate': 3.048561151079137e-05, 'epoch': 6.96} -{'loss': 0.4422, 'grad_norm': 3.1320464611053467, 'learning_rate': 3.0467625899280577e-05, 'epoch': 6.96} -{'loss': 0.4454, 'grad_norm': 3.500211000442505, 'learning_rate': 3.0449640287769788e-05, 'epoch': 6.96} -{'loss': 0.4328, 'grad_norm': 3.351778507232666, 'learning_rate': 3.0431654676258992e-05, 'epoch': 6.96} -{'loss': 0.4368, 'grad_norm': 2.7136240005493164, 'learning_rate': 3.04136690647482e-05, 'epoch': 6.96} -{'loss': 0.435, 'grad_norm': 2.5885167121887207, 'learning_rate': 3.039568345323741e-05, 'epoch': 6.97} - 70%|████████████████████████████████████████████████████████████████▎ | 3890/5570 [1:02:10<22:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43751364946365356, 'eval_runtime': 1.5354, 'eval_samples_per_second': 468.929, 'eval_steps_per_second': 3.908, 'epoch': 6.97} -{'loss': 0.4326, 'grad_norm': 4.052690029144287, 'learning_rate': 3.0377697841726622e-05, 'epoch': 6.97} -{'loss': 0.4298, 'grad_norm': 5.871683597564697, 'learning_rate': 3.035971223021583e-05, 'epoch': 6.97} -{'loss': 0.4343, 'grad_norm': 4.8380913734436035, 'learning_rate': 3.0341726618705034e-05, 'epoch': 6.97} -{'loss': 0.4227, 'grad_norm': 2.6202964782714844, 'learning_rate': 3.0323741007194245e-05, 'epoch': 6.97} -{'loss': 0.443, 'grad_norm': 3.3914012908935547, 'learning_rate': 3.0305755395683456e-05, 'epoch': 6.97} -{'loss': 0.4241, 'grad_norm': 4.089739799499512, 'learning_rate': 3.0287769784172664e-05, 'epoch': 6.98} -{'loss': 0.4357, 'grad_norm': 1.0405718088150024, 'learning_rate': 3.0269784172661875e-05, 'epoch': 6.98} -{'loss': 0.4339, 'grad_norm': 1.4403074979782104, 'learning_rate': 3.025179856115108e-05, 'epoch': 6.98} -{'loss': 0.4308, 'grad_norm': 0.9918274879455566, 'learning_rate': 3.023381294964029e-05, 'epoch': 6.98} -{'loss': 0.4294, 'grad_norm': 3.2295334339141846, 'learning_rate': 3.0215827338129498e-05, 'epoch': 6.98} - 70%|████████████████████████████████████████████████████████████████▍ | 3900/5570 [1:02:19<19:27, 1.43it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4368436634540558, 'eval_runtime': 1.5398, 'eval_samples_per_second': 467.583, 'eval_steps_per_second': 3.897, 'epoch': 6.98} -{'loss': 0.4321, 'grad_norm': 3.0145139694213867, 'learning_rate': 3.019784172661871e-05, 'epoch': 6.99} -{'loss': 0.4366, 'grad_norm': 3.6099517345428467, 'learning_rate': 3.0179856115107914e-05, 'epoch': 6.99} -{'loss': 0.4433, 'grad_norm': 2.5725271701812744, 'learning_rate': 3.016187050359712e-05, 'epoch': 6.99} -{'loss': 0.4272, 'grad_norm': 2.5094034671783447, 'learning_rate': 3.0143884892086332e-05, 'epoch': 6.99} -{'loss': 0.4396, 'grad_norm': 2.0048084259033203, 'learning_rate': 3.0125899280575543e-05, 'epoch': 6.99} -{'loss': 0.4406, 'grad_norm': 2.730442762374878, 'learning_rate': 3.010791366906475e-05, 'epoch': 6.99} -{'loss': 0.4421, 'grad_norm': 1.5280855894088745, 'learning_rate': 3.0089928057553955e-05, 'epoch': 7.0} -{'loss': 0.4459, 'grad_norm': 3.4934518337249756, 'learning_rate': 3.0071942446043167e-05, 'epoch': 7.0} -{'loss': 0.4449, 'grad_norm': 3.752260684967041, 'learning_rate': 3.0053956834532378e-05, 'epoch': 7.0} -{'loss': 0.4185, 'grad_norm': 5.189447402954102, 'learning_rate': 3.0035971223021585e-05, 'epoch': 7.0} - 70%|████████████████████████████████████████████████████████████████▌ | 3910/5570 [1:02:29<22:15, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43963173031806946, 'eval_runtime': 1.5341, 'eval_samples_per_second': 469.342, 'eval_steps_per_second': 3.911, 'epoch': 7.0} -{'loss': 0.4317, 'grad_norm': 3.329878568649292, 'learning_rate': 3.001798561151079e-05, 'epoch': 7.0} -{'loss': 0.4304, 'grad_norm': 3.676515817642212, 'learning_rate': 3e-05, 'epoch': 7.01} -{'loss': 0.4243, 'grad_norm': 3.1553404331207275, 'learning_rate': 2.9982014388489212e-05, 'epoch': 7.01} -{'loss': 0.4318, 'grad_norm': 4.310266971588135, 'learning_rate': 2.996402877697842e-05, 'epoch': 7.01} -{'loss': 0.4372, 'grad_norm': 4.461524486541748, 'learning_rate': 2.994604316546763e-05, 'epoch': 7.01} -{'loss': 0.4366, 'grad_norm': 4.427438259124756, 'learning_rate': 2.9928057553956835e-05, 'epoch': 7.01} -{'loss': 0.4232, 'grad_norm': 2.958435535430908, 'learning_rate': 2.9910071942446043e-05, 'epoch': 7.01} -{'loss': 0.4271, 'grad_norm': 3.4695892333984375, 'learning_rate': 2.9892086330935254e-05, 'epoch': 7.02} -{'loss': 0.4309, 'grad_norm': 6.3022918701171875, 'learning_rate': 2.9874100719424465e-05, 'epoch': 7.02} -{'loss': 0.4324, 'grad_norm': 2.8509037494659424, 'learning_rate': 2.985611510791367e-05, 'epoch': 7.02} - 70%|████████████████████████████████████████████████████████████████▋ | 3920/5570 [1:02:38<22:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4401126503944397, 'eval_runtime': 1.5431, 'eval_samples_per_second': 466.597, 'eval_steps_per_second': 3.888, 'epoch': 7.02} -{'loss': 0.4293, 'grad_norm': 2.84256649017334, 'learning_rate': 2.9838129496402877e-05, 'epoch': 7.02} -{'loss': 0.4214, 'grad_norm': 1.666909098625183, 'learning_rate': 2.9820143884892088e-05, 'epoch': 7.02} -{'loss': 0.4139, 'grad_norm': 1.4992209672927856, 'learning_rate': 2.98021582733813e-05, 'epoch': 7.03} -{'loss': 0.4294, 'grad_norm': 3.445981025695801, 'learning_rate': 2.9784172661870507e-05, 'epoch': 7.03} -{'loss': 0.4256, 'grad_norm': 2.9514389038085938, 'learning_rate': 2.976618705035971e-05, 'epoch': 7.03} -{'loss': 0.4239, 'grad_norm': 2.277819871902466, 'learning_rate': 2.9748201438848922e-05, 'epoch': 7.03} -{'loss': 0.4292, 'grad_norm': 4.912153244018555, 'learning_rate': 2.973021582733813e-05, 'epoch': 7.03} -{'loss': 0.4241, 'grad_norm': 2.3123629093170166, 'learning_rate': 2.971223021582734e-05, 'epoch': 7.03} -{'loss': 0.4219, 'grad_norm': 2.5310964584350586, 'learning_rate': 2.9694244604316545e-05, 'epoch': 7.04} -{'loss': 0.4324, 'grad_norm': 4.2492170333862305, 'learning_rate': 2.9676258992805756e-05, 'epoch': 7.04} - 71%|████████████████████████████████████████████████████████████████▉ | 3930/5570 [1:02:48<22:17, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4395654499530792, 'eval_runtime': 1.5486, 'eval_samples_per_second': 464.947, 'eval_steps_per_second': 3.875, 'epoch': 7.04} -{'loss': 0.4271, 'grad_norm': 3.604691743850708, 'learning_rate': 2.9658273381294964e-05, 'epoch': 7.04} -{'loss': 0.4313, 'grad_norm': 1.9373630285263062, 'learning_rate': 2.9640287769784175e-05, 'epoch': 7.04} -{'loss': 0.4326, 'grad_norm': 3.688751697540283, 'learning_rate': 2.9622302158273386e-05, 'epoch': 7.04} -{'loss': 0.4318, 'grad_norm': 1.565055251121521, 'learning_rate': 2.960431654676259e-05, 'epoch': 7.04} -{'loss': 0.4223, 'grad_norm': 2.6516287326812744, 'learning_rate': 2.95863309352518e-05, 'epoch': 7.05} -{'loss': 0.4344, 'grad_norm': 3.600667715072632, 'learning_rate': 2.956834532374101e-05, 'epoch': 7.05} -{'loss': 0.4335, 'grad_norm': 5.323556900024414, 'learning_rate': 2.955035971223022e-05, 'epoch': 7.05} -{'loss': 0.4315, 'grad_norm': 2.4055755138397217, 'learning_rate': 2.9532374100719425e-05, 'epoch': 7.05} -{'loss': 0.4316, 'grad_norm': 2.5452520847320557, 'learning_rate': 2.9514388489208633e-05, 'epoch': 7.05} -{'loss': 0.4218, 'grad_norm': 2.7114689350128174, 'learning_rate': 2.9496402877697844e-05, 'epoch': 7.06} - 71%|█████████████████████████████████████████████████████████████████ | 3940/5570 [1:02:58<21:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44182926416397095, 'eval_runtime': 1.543, 'eval_samples_per_second': 466.622, 'eval_steps_per_second': 3.889, 'epoch': 7.06} -{'loss': 0.4284, 'grad_norm': 4.409648895263672, 'learning_rate': 2.947841726618705e-05, 'epoch': 7.06} -{'loss': 0.4403, 'grad_norm': 4.590073108673096, 'learning_rate': 2.9460431654676263e-05, 'epoch': 7.06} -{'loss': 0.4293, 'grad_norm': 1.9623963832855225, 'learning_rate': 2.9442446043165467e-05, 'epoch': 7.06} -{'loss': 0.4273, 'grad_norm': 8.067279815673828, 'learning_rate': 2.9424460431654678e-05, 'epoch': 7.06} -{'loss': 0.4262, 'grad_norm': 7.051280975341797, 'learning_rate': 2.9406474820143886e-05, 'epoch': 7.06} -{'loss': 0.4286, 'grad_norm': 5.6820597648620605, 'learning_rate': 2.9388489208633097e-05, 'epoch': 7.07} -{'loss': 0.4285, 'grad_norm': 3.322003126144409, 'learning_rate': 2.93705035971223e-05, 'epoch': 7.07} -{'loss': 0.4277, 'grad_norm': 5.7611212730407715, 'learning_rate': 2.9352517985611512e-05, 'epoch': 7.07} -{'loss': 0.4267, 'grad_norm': 4.162593841552734, 'learning_rate': 2.933453237410072e-05, 'epoch': 7.07} -{'loss': 0.4182, 'grad_norm': 1.6530334949493408, 'learning_rate': 2.931654676258993e-05, 'epoch': 7.07} - 71%|█████████████████████████████████████████████████████████████████▏ | 3950/5570 [1:03:07<22:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43996208906173706, 'eval_runtime': 1.536, 'eval_samples_per_second': 468.758, 'eval_steps_per_second': 3.906, 'epoch': 7.07} -{'loss': 0.4304, 'grad_norm': 2.9802708625793457, 'learning_rate': 2.929856115107914e-05, 'epoch': 7.08} -{'loss': 0.4231, 'grad_norm': 3.224508762359619, 'learning_rate': 2.9280575539568343e-05, 'epoch': 7.08} -{'loss': 0.428, 'grad_norm': 2.7446277141571045, 'learning_rate': 2.9262589928057554e-05, 'epoch': 7.08} -{'loss': 0.4349, 'grad_norm': 2.517059803009033, 'learning_rate': 2.9244604316546765e-05, 'epoch': 7.08} -{'loss': 0.427, 'grad_norm': 3.9585258960723877, 'learning_rate': 2.9226618705035973e-05, 'epoch': 7.08} -{'loss': 0.4417, 'grad_norm': 4.484405517578125, 'learning_rate': 2.9208633093525184e-05, 'epoch': 7.08} -{'loss': 0.4204, 'grad_norm': 4.282176971435547, 'learning_rate': 2.9190647482014388e-05, 'epoch': 7.09} -{'loss': 0.4231, 'grad_norm': 4.334042072296143, 'learning_rate': 2.91726618705036e-05, 'epoch': 7.09} -{'loss': 0.4314, 'grad_norm': 4.906103610992432, 'learning_rate': 2.9154676258992807e-05, 'epoch': 7.09} -{'loss': 0.4249, 'grad_norm': 1.8728549480438232, 'learning_rate': 2.9136690647482018e-05, 'epoch': 7.09} - 71%|█████████████████████████████████████████████████████████████████▍ | 3960/5570 [1:03:17<22:02, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44169023633003235, 'eval_runtime': 1.5367, 'eval_samples_per_second': 468.529, 'eval_steps_per_second': 3.904, 'epoch': 7.09} -{'loss': 0.4323, 'grad_norm': 3.235112428665161, 'learning_rate': 2.9118705035971223e-05, 'epoch': 7.09} -{'loss': 0.4188, 'grad_norm': 5.6127400398254395, 'learning_rate': 2.9100719424460434e-05, 'epoch': 7.1} -{'loss': 0.4376, 'grad_norm': 3.952364444732666, 'learning_rate': 2.908273381294964e-05, 'epoch': 7.1} -{'loss': 0.439, 'grad_norm': 3.93483304977417, 'learning_rate': 2.9064748201438852e-05, 'epoch': 7.1} -{'loss': 0.4256, 'grad_norm': 4.850088119506836, 'learning_rate': 2.904676258992806e-05, 'epoch': 7.1} -{'loss': 0.4288, 'grad_norm': 4.290042877197266, 'learning_rate': 2.9028776978417264e-05, 'epoch': 7.1} -{'loss': 0.4159, 'grad_norm': 5.08578634262085, 'learning_rate': 2.9010791366906476e-05, 'epoch': 7.1} -{'loss': 0.437, 'grad_norm': 2.3073387145996094, 'learning_rate': 2.8992805755395687e-05, 'epoch': 7.11} -{'loss': 0.4363, 'grad_norm': 4.530563831329346, 'learning_rate': 2.8974820143884894e-05, 'epoch': 7.11} -{'loss': 0.4378, 'grad_norm': 3.3546712398529053, 'learning_rate': 2.89568345323741e-05, 'epoch': 7.11} - 71%|█████████████████████████████████████████████████████████████████▌ | 3970/5570 [1:03:26<21:45, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4402528405189514, 'eval_runtime': 1.5324, 'eval_samples_per_second': 469.86, 'eval_steps_per_second': 3.916, 'epoch': 7.11} -{'loss': 0.4313, 'grad_norm': 2.596928358078003, 'learning_rate': 2.893884892086331e-05, 'epoch': 7.11} -{'loss': 0.4271, 'grad_norm': 2.5257980823516846, 'learning_rate': 2.892086330935252e-05, 'epoch': 7.11} -{'loss': 0.4226, 'grad_norm': 1.7605022192001343, 'learning_rate': 2.890287769784173e-05, 'epoch': 7.11} -{'loss': 0.421, 'grad_norm': 6.17429780960083, 'learning_rate': 2.888489208633094e-05, 'epoch': 7.12} -{'loss': 0.4311, 'grad_norm': 2.578312635421753, 'learning_rate': 2.8866906474820144e-05, 'epoch': 7.12} -{'loss': 0.4225, 'grad_norm': 2.6728270053863525, 'learning_rate': 2.8848920863309352e-05, 'epoch': 7.12} -{'loss': 0.4261, 'grad_norm': 2.0641703605651855, 'learning_rate': 2.8830935251798563e-05, 'epoch': 7.12} -{'loss': 0.4261, 'grad_norm': 4.570959091186523, 'learning_rate': 2.8812949640287774e-05, 'epoch': 7.12} -{'loss': 0.432, 'grad_norm': 2.9892053604125977, 'learning_rate': 2.8794964028776978e-05, 'epoch': 7.13} -{'loss': 0.4292, 'grad_norm': 3.5300567150115967, 'learning_rate': 2.8776978417266186e-05, 'epoch': 7.13} - 71%|█████████████████████████████████████████████████████████████████▋ | 3980/5570 [1:03:36<21:33, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4384550452232361, 'eval_runtime': 1.5212, 'eval_samples_per_second': 473.307, 'eval_steps_per_second': 3.944, 'epoch': 7.13} -{'loss': 0.4287, 'grad_norm': 2.7865219116210938, 'learning_rate': 2.8758992805755397e-05, 'epoch': 7.13} -{'loss': 0.4301, 'grad_norm': 1.2998218536376953, 'learning_rate': 2.8741007194244608e-05, 'epoch': 7.13} -{'loss': 0.4203, 'grad_norm': 3.7465028762817383, 'learning_rate': 2.8723021582733816e-05, 'epoch': 7.13} -{'loss': 0.4188, 'grad_norm': 1.98545503616333, 'learning_rate': 2.870503597122302e-05, 'epoch': 7.13} -{'loss': 0.4372, 'grad_norm': 5.036612510681152, 'learning_rate': 2.868705035971223e-05, 'epoch': 7.14} -{'loss': 0.4412, 'grad_norm': 3.377246141433716, 'learning_rate': 2.8669064748201442e-05, 'epoch': 7.14} -{'loss': 0.4341, 'grad_norm': 5.3598504066467285, 'learning_rate': 2.865107913669065e-05, 'epoch': 7.14} -{'loss': 0.4261, 'grad_norm': 5.531565189361572, 'learning_rate': 2.8633093525179854e-05, 'epoch': 7.14} -{'loss': 0.4335, 'grad_norm': 5.071741580963135, 'learning_rate': 2.8615107913669065e-05, 'epoch': 7.14} -{'loss': 0.4212, 'grad_norm': 2.326907157897949, 'learning_rate': 2.8597122302158273e-05, 'epoch': 7.15} - 72%|█████████████████████████████████████████████████████████████████▉ | 3990/5570 [1:03:45<21:32, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44037044048309326, 'eval_runtime': 1.534, 'eval_samples_per_second': 469.356, 'eval_steps_per_second': 3.911, 'epoch': 7.15} -{'loss': 0.426, 'grad_norm': 4.138319492340088, 'learning_rate': 2.8579136690647484e-05, 'epoch': 7.15} -{'loss': 0.4232, 'grad_norm': 4.94556188583374, 'learning_rate': 2.8561151079136695e-05, 'epoch': 7.15} -{'loss': 0.4253, 'grad_norm': 2.8723387718200684, 'learning_rate': 2.85431654676259e-05, 'epoch': 7.15} -{'loss': 0.4231, 'grad_norm': 3.7749013900756836, 'learning_rate': 2.8525179856115107e-05, 'epoch': 7.15} -{'loss': 0.423, 'grad_norm': 3.5530385971069336, 'learning_rate': 2.850719424460432e-05, 'epoch': 7.15} -{'loss': 0.4351, 'grad_norm': 5.051352500915527, 'learning_rate': 2.848920863309353e-05, 'epoch': 7.16} -{'loss': 0.4297, 'grad_norm': 6.8514533042907715, 'learning_rate': 2.8471223021582734e-05, 'epoch': 7.16} -{'loss': 0.4332, 'grad_norm': 2.724773406982422, 'learning_rate': 2.845323741007194e-05, 'epoch': 7.16} -{'loss': 0.4247, 'grad_norm': 3.9471523761749268, 'learning_rate': 2.8435251798561153e-05, 'epoch': 7.16} -{'loss': 0.425, 'grad_norm': 2.321126699447632, 'learning_rate': 2.841726618705036e-05, 'epoch': 7.16} - 72%|██████████████████████████████████████████████████████████████████ | 4000/5570 [1:03:55<21:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4400884509086609, 'eval_runtime': 1.5418, 'eval_samples_per_second': 466.972, 'eval_steps_per_second': 3.891, 'epoch': 7.16} -{'loss': 0.4206, 'grad_norm': 6.2506842613220215, 'learning_rate': 2.839928057553957e-05, 'epoch': 7.17} -{'loss': 0.4267, 'grad_norm': 2.6718664169311523, 'learning_rate': 2.8381294964028776e-05, 'epoch': 7.17} -{'loss': 0.4263, 'grad_norm': 3.9842512607574463, 'learning_rate': 2.8363309352517987e-05, 'epoch': 7.17} -{'loss': 0.4242, 'grad_norm': 3.503575086593628, 'learning_rate': 2.8345323741007195e-05, 'epoch': 7.17} -{'loss': 0.432, 'grad_norm': 3.2350244522094727, 'learning_rate': 2.8327338129496406e-05, 'epoch': 7.17} -{'loss': 0.4299, 'grad_norm': 3.49570894241333, 'learning_rate': 2.8309352517985617e-05, 'epoch': 7.17} -{'loss': 0.4215, 'grad_norm': 2.112156391143799, 'learning_rate': 2.829136690647482e-05, 'epoch': 7.18} -{'loss': 0.4226, 'grad_norm': 3.334355592727661, 'learning_rate': 2.827338129496403e-05, 'epoch': 7.18} -{'loss': 0.4406, 'grad_norm': 4.6478400230407715, 'learning_rate': 2.825539568345324e-05, 'epoch': 7.18} -{'loss': 0.4299, 'grad_norm': 4.828373432159424, 'learning_rate': 2.823741007194245e-05, 'epoch': 7.18} - 72%|██████████████████████████████████████████████████████████████████▏ | 4010/5570 [1:04:05<21:12, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44034698605537415, 'eval_runtime': 1.5392, 'eval_samples_per_second': 467.771, 'eval_steps_per_second': 3.898, 'epoch': 7.18} -{'loss': 0.435, 'grad_norm': 6.326369762420654, 'learning_rate': 2.8219424460431655e-05, 'epoch': 7.18} -{'loss': 0.422, 'grad_norm': 2.6379494667053223, 'learning_rate': 2.8201438848920863e-05, 'epoch': 7.18} -{'loss': 0.4124, 'grad_norm': 2.239882469177246, 'learning_rate': 2.8183453237410074e-05, 'epoch': 7.19} -{'loss': 0.4261, 'grad_norm': 6.009076118469238, 'learning_rate': 2.8165467625899282e-05, 'epoch': 7.19} -{'loss': 0.4216, 'grad_norm': 4.10133695602417, 'learning_rate': 2.8147482014388493e-05, 'epoch': 7.19} -{'loss': 0.4216, 'grad_norm': 2.459148406982422, 'learning_rate': 2.8129496402877697e-05, 'epoch': 7.19} -{'loss': 0.414, 'grad_norm': 3.416699171066284, 'learning_rate': 2.811151079136691e-05, 'epoch': 7.19} -{'loss': 0.4221, 'grad_norm': 3.851580858230591, 'learning_rate': 2.8093525179856116e-05, 'epoch': 7.2} -{'loss': 0.4149, 'grad_norm': 1.4078214168548584, 'learning_rate': 2.8075539568345327e-05, 'epoch': 7.2} -{'loss': 0.4276, 'grad_norm': 2.564826726913452, 'learning_rate': 2.805755395683453e-05, 'epoch': 7.2} - 72%|██████████████████████████████████████████████████████████████████▍ | 4020/5570 [1:04:14<21:01, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4376954436302185, 'eval_runtime': 1.5485, 'eval_samples_per_second': 464.98, 'eval_steps_per_second': 3.875, 'epoch': 7.2} -{'loss': 0.4346, 'grad_norm': 1.4832133054733276, 'learning_rate': 2.8039568345323743e-05, 'epoch': 7.2} -{'loss': 0.414, 'grad_norm': 4.386457920074463, 'learning_rate': 2.802158273381295e-05, 'epoch': 7.2} -{'loss': 0.4279, 'grad_norm': 2.71573543548584, 'learning_rate': 2.800359712230216e-05, 'epoch': 7.2} -{'loss': 0.4263, 'grad_norm': 1.8890727758407593, 'learning_rate': 2.798561151079137e-05, 'epoch': 7.21} -{'loss': 0.4326, 'grad_norm': 2.778047561645508, 'learning_rate': 2.7967625899280573e-05, 'epoch': 7.21} -{'loss': 0.4341, 'grad_norm': 1.990078330039978, 'learning_rate': 2.7949640287769785e-05, 'epoch': 7.21} -{'loss': 0.4118, 'grad_norm': 1.93804132938385, 'learning_rate': 2.7931654676258996e-05, 'epoch': 7.21} -{'loss': 0.4225, 'grad_norm': 3.970083475112915, 'learning_rate': 2.7913669064748203e-05, 'epoch': 7.21} -{'loss': 0.4259, 'grad_norm': 1.6613050699234009, 'learning_rate': 2.7895683453237408e-05, 'epoch': 7.22} -{'loss': 0.4247, 'grad_norm': 3.711704730987549, 'learning_rate': 2.787769784172662e-05, 'epoch': 7.22} - 72%|██████████████████████████████████████████████████████████████████▌ | 4030/5570 [1:04:24<20:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43918389081954956, 'eval_runtime': 1.5527, 'eval_samples_per_second': 463.714, 'eval_steps_per_second': 3.864, 'epoch': 7.22} -{'loss': 0.4282, 'grad_norm': 1.604156494140625, 'learning_rate': 2.785971223021583e-05, 'epoch': 7.22} -{'loss': 0.4251, 'grad_norm': 1.3198258876800537, 'learning_rate': 2.7841726618705038e-05, 'epoch': 7.22} -{'loss': 0.4354, 'grad_norm': 5.3226518630981445, 'learning_rate': 2.782374100719425e-05, 'epoch': 7.22} -{'loss': 0.4253, 'grad_norm': 4.33516263961792, 'learning_rate': 2.7805755395683453e-05, 'epoch': 7.22} -{'loss': 0.4354, 'grad_norm': 3.0627830028533936, 'learning_rate': 2.7787769784172664e-05, 'epoch': 7.23} -{'loss': 0.4354, 'grad_norm': 4.5863213539123535, 'learning_rate': 2.7769784172661872e-05, 'epoch': 7.23} -{'loss': 0.4349, 'grad_norm': 5.883296966552734, 'learning_rate': 2.7751798561151083e-05, 'epoch': 7.23} -{'loss': 0.4319, 'grad_norm': 3.8916356563568115, 'learning_rate': 2.7733812949640287e-05, 'epoch': 7.23} -{'loss': 0.4303, 'grad_norm': 2.1866719722747803, 'learning_rate': 2.7715827338129495e-05, 'epoch': 7.23} -{'loss': 0.4313, 'grad_norm': 2.075145959854126, 'learning_rate': 2.7697841726618706e-05, 'epoch': 7.24} - 73%|██████████████████████████████████████████████████████████████████▋ | 4040/5570 [1:04:33<20:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44284701347351074, 'eval_runtime': 1.5393, 'eval_samples_per_second': 467.746, 'eval_steps_per_second': 3.898, 'epoch': 7.24} -{'loss': 0.4352, 'grad_norm': 7.254230499267578, 'learning_rate': 2.7679856115107917e-05, 'epoch': 7.24} -{'loss': 0.4367, 'grad_norm': 4.2479119300842285, 'learning_rate': 2.7661870503597125e-05, 'epoch': 7.24} -{'loss': 0.4307, 'grad_norm': 6.085319995880127, 'learning_rate': 2.764388489208633e-05, 'epoch': 7.24} -{'loss': 0.4281, 'grad_norm': 3.644847869873047, 'learning_rate': 2.762589928057554e-05, 'epoch': 7.24} -{'loss': 0.4253, 'grad_norm': 3.5110599994659424, 'learning_rate': 2.760791366906475e-05, 'epoch': 7.24} -{'loss': 0.4323, 'grad_norm': 2.5493717193603516, 'learning_rate': 2.758992805755396e-05, 'epoch': 7.25} -{'loss': 0.4279, 'grad_norm': 3.5938446521759033, 'learning_rate': 2.7571942446043163e-05, 'epoch': 7.25} -{'loss': 0.422, 'grad_norm': 1.9793825149536133, 'learning_rate': 2.7553956834532374e-05, 'epoch': 7.25} -{'loss': 0.4218, 'grad_norm': 1.6756781339645386, 'learning_rate': 2.7535971223021582e-05, 'epoch': 7.25} -{'loss': 0.4375, 'grad_norm': 4.738220691680908, 'learning_rate': 2.7517985611510793e-05, 'epoch': 7.25} - 73%|██████████████████████████████████████████████████████████████████▉ | 4050/5570 [1:04:43<20:40, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4390672445297241, 'eval_runtime': 1.5276, 'eval_samples_per_second': 471.313, 'eval_steps_per_second': 3.928, 'epoch': 7.25} -{'loss': 0.4314, 'grad_norm': 3.8036773204803467, 'learning_rate': 2.7500000000000004e-05, 'epoch': 7.25} -{'loss': 0.4273, 'grad_norm': 3.696603536605835, 'learning_rate': 2.748201438848921e-05, 'epoch': 7.26} -{'loss': 0.4295, 'grad_norm': 2.9304444789886475, 'learning_rate': 2.7464028776978416e-05, 'epoch': 7.26} -{'loss': 0.4255, 'grad_norm': 2.083782196044922, 'learning_rate': 2.7446043165467627e-05, 'epoch': 7.26} -{'loss': 0.4312, 'grad_norm': 3.8463845252990723, 'learning_rate': 2.742805755395684e-05, 'epoch': 7.26} -{'loss': 0.4356, 'grad_norm': 4.880747318267822, 'learning_rate': 2.7410071942446043e-05, 'epoch': 7.26} -{'loss': 0.4212, 'grad_norm': 2.741835355758667, 'learning_rate': 2.739208633093525e-05, 'epoch': 7.27} -{'loss': 0.4212, 'grad_norm': 3.2393245697021484, 'learning_rate': 2.7374100719424462e-05, 'epoch': 7.27} -{'loss': 0.4311, 'grad_norm': 4.652231216430664, 'learning_rate': 2.7356115107913673e-05, 'epoch': 7.27} -{'loss': 0.4393, 'grad_norm': 5.525437355041504, 'learning_rate': 2.733812949640288e-05, 'epoch': 7.27} - 73%|███████████████████████████████████████████████████████████████████ | 4060/5570 [1:04:53<20:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4400952160358429, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.413, 'eval_steps_per_second': 3.92, 'epoch': 7.27} -{'loss': 0.4244, 'grad_norm': 2.9498612880706787, 'learning_rate': 2.7320143884892085e-05, 'epoch': 7.27} -{'loss': 0.4279, 'grad_norm': 1.6869829893112183, 'learning_rate': 2.7302158273381296e-05, 'epoch': 7.27} -{'loss': 0.4222, 'grad_norm': 2.1261796951293945, 'learning_rate': 2.7284172661870504e-05, 'epoch': 7.28} -{'loss': 0.4268, 'grad_norm': 2.437988758087158, 'learning_rate': 2.7266187050359715e-05, 'epoch': 7.28} -{'loss': 0.4243, 'grad_norm': 2.7297418117523193, 'learning_rate': 2.7248201438848926e-05, 'epoch': 7.28} -{'loss': 0.4353, 'grad_norm': 3.4108352661132812, 'learning_rate': 2.723021582733813e-05, 'epoch': 7.28} -{'loss': 0.4337, 'grad_norm': 3.1508264541625977, 'learning_rate': 2.7212230215827338e-05, 'epoch': 7.28} -{'loss': 0.4287, 'grad_norm': 6.727782726287842, 'learning_rate': 2.719424460431655e-05, 'epoch': 7.29} -{'loss': 0.4326, 'grad_norm': 6.297062873840332, 'learning_rate': 2.717625899280576e-05, 'epoch': 7.29} -{'loss': 0.4316, 'grad_norm': 5.789297580718994, 'learning_rate': 2.7158273381294964e-05, 'epoch': 7.29} - 73%|███████████████████████████████████████████████████████████████████▏ | 4070/5570 [1:05:02<20:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43930816650390625, 'eval_runtime': 1.5325, 'eval_samples_per_second': 469.821, 'eval_steps_per_second': 3.915, 'epoch': 7.29} -{'loss': 0.424, 'grad_norm': 3.210628032684326, 'learning_rate': 2.7140287769784172e-05, 'epoch': 7.29} -{'loss': 0.439, 'grad_norm': 2.6941373348236084, 'learning_rate': 2.7122302158273383e-05, 'epoch': 7.29} -{'loss': 0.4303, 'grad_norm': 3.8285772800445557, 'learning_rate': 2.710431654676259e-05, 'epoch': 7.29} -{'loss': 0.4304, 'grad_norm': 3.9039926528930664, 'learning_rate': 2.7086330935251802e-05, 'epoch': 7.3} -{'loss': 0.4249, 'grad_norm': 2.4597392082214355, 'learning_rate': 2.7068345323741006e-05, 'epoch': 7.3} -{'loss': 0.436, 'grad_norm': 2.251054048538208, 'learning_rate': 2.7050359712230217e-05, 'epoch': 7.3} -{'loss': 0.4348, 'grad_norm': 2.786576747894287, 'learning_rate': 2.7032374100719425e-05, 'epoch': 7.3} -{'loss': 0.4403, 'grad_norm': 4.95474100112915, 'learning_rate': 2.7014388489208636e-05, 'epoch': 7.3} -{'loss': 0.4375, 'grad_norm': 3.0273115634918213, 'learning_rate': 2.699640287769784e-05, 'epoch': 7.31} -{'loss': 0.4327, 'grad_norm': 2.287071466445923, 'learning_rate': 2.697841726618705e-05, 'epoch': 7.31} - 73%|███████████████████████████████████████████████████████████████████▍ | 4080/5570 [1:05:12<20:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44027090072631836, 'eval_runtime': 1.5638, 'eval_samples_per_second': 460.432, 'eval_steps_per_second': 3.837, 'epoch': 7.31} -{'loss': 0.4225, 'grad_norm': 3.7782108783721924, 'learning_rate': 2.696043165467626e-05, 'epoch': 7.31} -{'loss': 0.4259, 'grad_norm': 6.7774577140808105, 'learning_rate': 2.694244604316547e-05, 'epoch': 7.31} -{'loss': 0.4365, 'grad_norm': 4.701458930969238, 'learning_rate': 2.692446043165468e-05, 'epoch': 7.31} -{'loss': 0.4268, 'grad_norm': 1.7797449827194214, 'learning_rate': 2.6906474820143886e-05, 'epoch': 7.31} -{'loss': 0.4289, 'grad_norm': 6.400553226470947, 'learning_rate': 2.6888489208633094e-05, 'epoch': 7.32} -{'loss': 0.442, 'grad_norm': 5.293947219848633, 'learning_rate': 2.6870503597122305e-05, 'epoch': 7.32} -{'loss': 0.4384, 'grad_norm': 6.818910121917725, 'learning_rate': 2.6852517985611512e-05, 'epoch': 7.32} -{'loss': 0.4297, 'grad_norm': 4.694536209106445, 'learning_rate': 2.6834532374100717e-05, 'epoch': 7.32} -{'loss': 0.4276, 'grad_norm': 3.447225570678711, 'learning_rate': 2.6816546762589928e-05, 'epoch': 7.32} -{'loss': 0.4362, 'grad_norm': 8.040236473083496, 'learning_rate': 2.679856115107914e-05, 'epoch': 7.32} - 73%|███████████████████████████████████████████████████████████████████▌ | 4090/5570 [1:05:21<20:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4417717456817627, 'eval_runtime': 1.546, 'eval_samples_per_second': 465.724, 'eval_steps_per_second': 3.881, 'epoch': 7.32} -{'loss': 0.4285, 'grad_norm': 5.285360336303711, 'learning_rate': 2.6780575539568347e-05, 'epoch': 7.33} -{'loss': 0.4249, 'grad_norm': 3.0195982456207275, 'learning_rate': 2.6762589928057558e-05, 'epoch': 7.33} -{'loss': 0.438, 'grad_norm': 4.35413932800293, 'learning_rate': 2.6744604316546762e-05, 'epoch': 7.33} -{'loss': 0.4294, 'grad_norm': 3.241084337234497, 'learning_rate': 2.6726618705035973e-05, 'epoch': 7.33} -{'loss': 0.4254, 'grad_norm': 4.205595970153809, 'learning_rate': 2.670863309352518e-05, 'epoch': 7.33} -{'loss': 0.4296, 'grad_norm': 2.5148251056671143, 'learning_rate': 2.6690647482014392e-05, 'epoch': 7.34} -{'loss': 0.4307, 'grad_norm': 1.7850148677825928, 'learning_rate': 2.6672661870503596e-05, 'epoch': 7.34} -{'loss': 0.425, 'grad_norm': 4.31657075881958, 'learning_rate': 2.6654676258992807e-05, 'epoch': 7.34} -{'loss': 0.4289, 'grad_norm': 2.9462571144104004, 'learning_rate': 2.6636690647482015e-05, 'epoch': 7.34} -{'loss': 0.4298, 'grad_norm': 1.5021716356277466, 'learning_rate': 2.6618705035971226e-05, 'epoch': 7.34} - 74%|███████████████████████████████████████████████████████████████████▋ | 4100/5570 [1:05:31<20:11, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4379393756389618, 'eval_runtime': 1.5452, 'eval_samples_per_second': 465.954, 'eval_steps_per_second': 3.883, 'epoch': 7.34} -{'loss': 0.4226, 'grad_norm': 4.641213417053223, 'learning_rate': 2.6600719424460434e-05, 'epoch': 7.34} -{'loss': 0.4344, 'grad_norm': 3.935218572616577, 'learning_rate': 2.6582733812949638e-05, 'epoch': 7.35} -{'loss': 0.4264, 'grad_norm': 1.2404704093933105, 'learning_rate': 2.656474820143885e-05, 'epoch': 7.35} -{'loss': 0.428, 'grad_norm': 3.267885208129883, 'learning_rate': 2.654676258992806e-05, 'epoch': 7.35} -{'loss': 0.4192, 'grad_norm': 3.93522572517395, 'learning_rate': 2.6528776978417268e-05, 'epoch': 7.35} -{'loss': 0.4373, 'grad_norm': 4.208801746368408, 'learning_rate': 2.6510791366906472e-05, 'epoch': 7.35} -{'loss': 0.4287, 'grad_norm': 2.4303815364837646, 'learning_rate': 2.6492805755395683e-05, 'epoch': 7.36} -{'loss': 0.4106, 'grad_norm': 3.9556291103363037, 'learning_rate': 2.6474820143884895e-05, 'epoch': 7.36} -{'loss': 0.4231, 'grad_norm': 2.4243273735046387, 'learning_rate': 2.6456834532374102e-05, 'epoch': 7.36} -{'loss': 0.4374, 'grad_norm': 6.508573055267334, 'learning_rate': 2.6438848920863313e-05, 'epoch': 7.36} - 74%|███████████████████████████████████████████████████████████████████▉ | 4110/5570 [1:05:40<19:49, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43879589438438416, 'eval_runtime': 1.5535, 'eval_samples_per_second': 463.476, 'eval_steps_per_second': 3.862, 'epoch': 7.36} -{'loss': 0.4235, 'grad_norm': 4.666774749755859, 'learning_rate': 2.6420863309352518e-05, 'epoch': 7.36} -{'loss': 0.4451, 'grad_norm': 3.2889482975006104, 'learning_rate': 2.6402877697841725e-05, 'epoch': 7.36} -{'loss': 0.4243, 'grad_norm': 1.6429874897003174, 'learning_rate': 2.6384892086330936e-05, 'epoch': 7.37} -{'loss': 0.4295, 'grad_norm': 2.5799779891967773, 'learning_rate': 2.6366906474820148e-05, 'epoch': 7.37} -{'loss': 0.4218, 'grad_norm': 3.821587324142456, 'learning_rate': 2.6348920863309355e-05, 'epoch': 7.37} -{'loss': 0.4212, 'grad_norm': 1.5390667915344238, 'learning_rate': 2.633093525179856e-05, 'epoch': 7.37} -{'loss': 0.4328, 'grad_norm': 3.1208748817443848, 'learning_rate': 2.631294964028777e-05, 'epoch': 7.37} -{'loss': 0.4308, 'grad_norm': 2.2976949214935303, 'learning_rate': 2.6294964028776982e-05, 'epoch': 7.38} -{'loss': 0.4266, 'grad_norm': 3.327333927154541, 'learning_rate': 2.627697841726619e-05, 'epoch': 7.38} -{'loss': 0.4292, 'grad_norm': 4.43911075592041, 'learning_rate': 2.6258992805755394e-05, 'epoch': 7.38} - 74%|████████████████████████████████████████████████████████████████████ | 4120/5570 [1:05:50<19:54, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43981409072875977, 'eval_runtime': 1.5302, 'eval_samples_per_second': 470.526, 'eval_steps_per_second': 3.921, 'epoch': 7.38} -{'loss': 0.4377, 'grad_norm': 5.116495132446289, 'learning_rate': 2.6241007194244605e-05, 'epoch': 7.38} -{'loss': 0.4321, 'grad_norm': 3.806506633758545, 'learning_rate': 2.6223021582733816e-05, 'epoch': 7.38} -{'loss': 0.4276, 'grad_norm': 4.513956069946289, 'learning_rate': 2.6205035971223024e-05, 'epoch': 7.38} -{'loss': 0.4336, 'grad_norm': 4.794885158538818, 'learning_rate': 2.6187050359712235e-05, 'epoch': 7.39} -{'loss': 0.4303, 'grad_norm': 4.605041027069092, 'learning_rate': 2.616906474820144e-05, 'epoch': 7.39} -{'loss': 0.4213, 'grad_norm': 2.547043800354004, 'learning_rate': 2.6151079136690647e-05, 'epoch': 7.39} -{'loss': 0.4227, 'grad_norm': 5.073101043701172, 'learning_rate': 2.6133093525179858e-05, 'epoch': 7.39} -{'loss': 0.429, 'grad_norm': 4.780073165893555, 'learning_rate': 2.611510791366907e-05, 'epoch': 7.39} -{'loss': 0.4137, 'grad_norm': 4.46079683303833, 'learning_rate': 2.6097122302158273e-05, 'epoch': 7.39} -{'loss': 0.4327, 'grad_norm': 3.7088735103607178, 'learning_rate': 2.607913669064748e-05, 'epoch': 7.4} - 74%|████████████████████████████████████████████████████████████████████▏ | 4130/5570 [1:06:00<19:39, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4423464834690094, 'eval_runtime': 1.5465, 'eval_samples_per_second': 465.564, 'eval_steps_per_second': 3.88, 'epoch': 7.4} -{'loss': 0.4314, 'grad_norm': 4.974557876586914, 'learning_rate': 2.6061151079136692e-05, 'epoch': 7.4} -{'loss': 0.4365, 'grad_norm': 5.959943771362305, 'learning_rate': 2.6043165467625903e-05, 'epoch': 7.4} -{'loss': 0.4334, 'grad_norm': 2.7866370677948, 'learning_rate': 2.602517985611511e-05, 'epoch': 7.4} -{'loss': 0.4277, 'grad_norm': 5.457952499389648, 'learning_rate': 2.6007194244604315e-05, 'epoch': 7.4} -{'loss': 0.4272, 'grad_norm': 2.5733225345611572, 'learning_rate': 2.5989208633093526e-05, 'epoch': 7.41} -{'loss': 0.4215, 'grad_norm': 4.181571960449219, 'learning_rate': 2.5971223021582734e-05, 'epoch': 7.41} -{'loss': 0.4275, 'grad_norm': 4.496099472045898, 'learning_rate': 2.5953237410071945e-05, 'epoch': 7.41} -{'loss': 0.4267, 'grad_norm': 4.402174949645996, 'learning_rate': 2.593525179856115e-05, 'epoch': 7.41} -{'loss': 0.4312, 'grad_norm': 3.6473464965820312, 'learning_rate': 2.591726618705036e-05, 'epoch': 7.41} -{'loss': 0.4189, 'grad_norm': 4.2877631187438965, 'learning_rate': 2.589928057553957e-05, 'epoch': 7.41} - 74%|████████████████████████████████████████████████████████████████████▍ | 4140/5570 [1:06:09<19:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43801379203796387, 'eval_runtime': 1.5297, 'eval_samples_per_second': 470.685, 'eval_steps_per_second': 3.922, 'epoch': 7.41} -{'loss': 0.4178, 'grad_norm': 2.3976433277130127, 'learning_rate': 2.588129496402878e-05, 'epoch': 7.42} -{'loss': 0.4261, 'grad_norm': 2.1389548778533936, 'learning_rate': 2.586330935251799e-05, 'epoch': 7.42} -{'loss': 0.4252, 'grad_norm': 3.458763599395752, 'learning_rate': 2.5845323741007195e-05, 'epoch': 7.42} -{'loss': 0.4285, 'grad_norm': 3.8899738788604736, 'learning_rate': 2.5827338129496403e-05, 'epoch': 7.42} -{'loss': 0.4303, 'grad_norm': 2.5916595458984375, 'learning_rate': 2.5809352517985614e-05, 'epoch': 7.42} -{'loss': 0.4304, 'grad_norm': 3.5139286518096924, 'learning_rate': 2.5791366906474825e-05, 'epoch': 7.43} -{'loss': 0.4287, 'grad_norm': 2.893756151199341, 'learning_rate': 2.577338129496403e-05, 'epoch': 7.43} -{'loss': 0.4272, 'grad_norm': 3.369722604751587, 'learning_rate': 2.5755395683453237e-05, 'epoch': 7.43} -{'loss': 0.4233, 'grad_norm': 2.0625200271606445, 'learning_rate': 2.5737410071942448e-05, 'epoch': 7.43} -{'loss': 0.4234, 'grad_norm': 2.1142890453338623, 'learning_rate': 2.5719424460431656e-05, 'epoch': 7.43} - 75%|████████████████████████████████████████████████████████████████████▌ | 4150/5570 [1:06:19<19:18, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43625232577323914, 'eval_runtime': 1.5285, 'eval_samples_per_second': 471.05, 'eval_steps_per_second': 3.925, 'epoch': 7.43} -{'loss': 0.4174, 'grad_norm': 2.1518936157226562, 'learning_rate': 2.5701438848920867e-05, 'epoch': 7.43} -{'loss': 0.4224, 'grad_norm': 2.718597650527954, 'learning_rate': 2.568345323741007e-05, 'epoch': 7.44} -{'loss': 0.4281, 'grad_norm': 3.5220494270324707, 'learning_rate': 2.5665467625899282e-05, 'epoch': 7.44} -{'loss': 0.421, 'grad_norm': 1.330499291419983, 'learning_rate': 2.564748201438849e-05, 'epoch': 7.44} -{'loss': 0.4235, 'grad_norm': 2.5290613174438477, 'learning_rate': 2.56294964028777e-05, 'epoch': 7.44} -{'loss': 0.4451, 'grad_norm': 3.328378677368164, 'learning_rate': 2.5611510791366905e-05, 'epoch': 7.44} -{'loss': 0.4249, 'grad_norm': 2.906686544418335, 'learning_rate': 2.5593525179856116e-05, 'epoch': 7.45} -{'loss': 0.4282, 'grad_norm': 3.263739824295044, 'learning_rate': 2.5575539568345324e-05, 'epoch': 7.45} -{'loss': 0.4251, 'grad_norm': 1.371959924697876, 'learning_rate': 2.5557553956834535e-05, 'epoch': 7.45} -{'loss': 0.4309, 'grad_norm': 3.0582804679870605, 'learning_rate': 2.5539568345323743e-05, 'epoch': 7.45} - 75%|████████████████████████████████████████████████████████████████████▋ | 4160/5570 [1:06:28<19:13, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43930885195732117, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.312, 'eval_steps_per_second': 3.936, 'epoch': 7.45} -{'loss': 0.4202, 'grad_norm': 2.558748245239258, 'learning_rate': 2.5521582733812947e-05, 'epoch': 7.45} -{'loss': 0.4268, 'grad_norm': 3.865210771560669, 'learning_rate': 2.5503597122302158e-05, 'epoch': 7.45} -{'loss': 0.4252, 'grad_norm': 3.479407548904419, 'learning_rate': 2.548561151079137e-05, 'epoch': 7.46} -{'loss': 0.4312, 'grad_norm': 2.5779991149902344, 'learning_rate': 2.5467625899280577e-05, 'epoch': 7.46} -{'loss': 0.435, 'grad_norm': 3.799252986907959, 'learning_rate': 2.5449640287769788e-05, 'epoch': 7.46} -{'loss': 0.434, 'grad_norm': 3.5830869674682617, 'learning_rate': 2.5431654676258992e-05, 'epoch': 7.46} -{'loss': 0.4169, 'grad_norm': 3.2674026489257812, 'learning_rate': 2.5413669064748204e-05, 'epoch': 7.46} -{'loss': 0.4196, 'grad_norm': 3.515252113342285, 'learning_rate': 2.539568345323741e-05, 'epoch': 7.46} -{'loss': 0.4114, 'grad_norm': 3.703392505645752, 'learning_rate': 2.5377697841726622e-05, 'epoch': 7.47} -{'loss': 0.4374, 'grad_norm': 2.802464723587036, 'learning_rate': 2.5359712230215827e-05, 'epoch': 7.47} - 75%|████████████████████████████████████████████████████████████████████▉ | 4170/5570 [1:06:38<19:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4406924843788147, 'eval_runtime': 1.562, 'eval_samples_per_second': 460.962, 'eval_steps_per_second': 3.841, 'epoch': 7.47} -{'loss': 0.428, 'grad_norm': 7.056060314178467, 'learning_rate': 2.5341726618705038e-05, 'epoch': 7.47} -{'loss': 0.4297, 'grad_norm': 2.1248867511749268, 'learning_rate': 2.5323741007194246e-05, 'epoch': 7.47} -{'loss': 0.4368, 'grad_norm': 1.5426851511001587, 'learning_rate': 2.5305755395683457e-05, 'epoch': 7.47} -{'loss': 0.4179, 'grad_norm': 2.2457942962646484, 'learning_rate': 2.5287769784172664e-05, 'epoch': 7.48} -{'loss': 0.4179, 'grad_norm': 5.390157222747803, 'learning_rate': 2.526978417266187e-05, 'epoch': 7.48} -{'loss': 0.4286, 'grad_norm': 8.11390209197998, 'learning_rate': 2.525179856115108e-05, 'epoch': 7.48} -{'loss': 0.424, 'grad_norm': 2.614797830581665, 'learning_rate': 2.523381294964029e-05, 'epoch': 7.48} -{'loss': 0.4314, 'grad_norm': 0.9752181172370911, 'learning_rate': 2.52158273381295e-05, 'epoch': 7.48} -{'loss': 0.4229, 'grad_norm': 4.043320655822754, 'learning_rate': 2.5197841726618703e-05, 'epoch': 7.48} -{'loss': 0.4377, 'grad_norm': 5.680866241455078, 'learning_rate': 2.5179856115107914e-05, 'epoch': 7.49} - 75%|█████████████████████████████████████████████████████████████████████ | 4180/5570 [1:06:48<18:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4425792694091797, 'eval_runtime': 1.5453, 'eval_samples_per_second': 465.929, 'eval_steps_per_second': 3.883, 'epoch': 7.49} -{'loss': 0.4339, 'grad_norm': 4.094721794128418, 'learning_rate': 2.5161870503597125e-05, 'epoch': 7.49} -{'loss': 0.4449, 'grad_norm': 4.636539459228516, 'learning_rate': 2.5143884892086333e-05, 'epoch': 7.49} -{'loss': 0.4214, 'grad_norm': 2.000149965286255, 'learning_rate': 2.5125899280575544e-05, 'epoch': 7.49} -{'loss': 0.4336, 'grad_norm': 2.754019021987915, 'learning_rate': 2.5107913669064748e-05, 'epoch': 7.49} -{'loss': 0.4219, 'grad_norm': 1.9002584218978882, 'learning_rate': 2.5089928057553956e-05, 'epoch': 7.5} -{'loss': 0.434, 'grad_norm': 3.1066784858703613, 'learning_rate': 2.5071942446043167e-05, 'epoch': 7.5} -{'loss': 0.4331, 'grad_norm': 2.596294403076172, 'learning_rate': 2.5053956834532378e-05, 'epoch': 7.5} -{'loss': 0.432, 'grad_norm': 3.424165964126587, 'learning_rate': 2.5035971223021582e-05, 'epoch': 7.5} -{'loss': 0.4283, 'grad_norm': 2.855825424194336, 'learning_rate': 2.501798561151079e-05, 'epoch': 7.5} -{'loss': 0.4186, 'grad_norm': 4.65083122253418, 'learning_rate': 2.5e-05, 'epoch': 7.5} - 75%|█████████████████████████████████████████████████████████████████████▏ | 4190/5570 [1:06:57<18:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4412578046321869, 'eval_runtime': 1.54, 'eval_samples_per_second': 467.518, 'eval_steps_per_second': 3.896, 'epoch': 7.5} -{'loss': 0.435, 'grad_norm': 4.72230863571167, 'learning_rate': 2.4982014388489212e-05, 'epoch': 7.51} -{'loss': 0.4333, 'grad_norm': 2.274888038635254, 'learning_rate': 2.4964028776978417e-05, 'epoch': 7.51} -{'loss': 0.4279, 'grad_norm': 2.603736639022827, 'learning_rate': 2.4946043165467628e-05, 'epoch': 7.51} -{'loss': 0.4298, 'grad_norm': 6.159239292144775, 'learning_rate': 2.4928057553956835e-05, 'epoch': 7.51} -{'loss': 0.4358, 'grad_norm': 5.505494594573975, 'learning_rate': 2.4910071942446047e-05, 'epoch': 7.51} -{'loss': 0.4325, 'grad_norm': 2.0712924003601074, 'learning_rate': 2.489208633093525e-05, 'epoch': 7.52} -{'loss': 0.4392, 'grad_norm': 3.517303943634033, 'learning_rate': 2.4874100719424462e-05, 'epoch': 7.52} -{'loss': 0.43, 'grad_norm': 4.459813117980957, 'learning_rate': 2.485611510791367e-05, 'epoch': 7.52} -{'loss': 0.416, 'grad_norm': 1.978456735610962, 'learning_rate': 2.4838129496402877e-05, 'epoch': 7.52} -{'loss': 0.4246, 'grad_norm': 3.9791061878204346, 'learning_rate': 2.482014388489209e-05, 'epoch': 7.52} - 75%|█████████████████████████████████████████████████████████████████████▎ | 4200/5570 [1:07:07<18:42, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4383561313152313, 'eval_runtime': 1.535, 'eval_samples_per_second': 469.062, 'eval_steps_per_second': 3.909, 'epoch': 7.52} -{'loss': 0.4252, 'grad_norm': 4.728342533111572, 'learning_rate': 2.4802158273381296e-05, 'epoch': 7.52} -{'loss': 0.4275, 'grad_norm': 3.981701135635376, 'learning_rate': 2.4784172661870507e-05, 'epoch': 7.53} -{'loss': 0.4313, 'grad_norm': 4.194836139678955, 'learning_rate': 2.476618705035971e-05, 'epoch': 7.53} -{'loss': 0.4245, 'grad_norm': 5.526965618133545, 'learning_rate': 2.4748201438848923e-05, 'epoch': 7.53} -{'loss': 0.4337, 'grad_norm': 6.964750289916992, 'learning_rate': 2.473021582733813e-05, 'epoch': 7.53} -{'loss': 0.4241, 'grad_norm': 7.257656097412109, 'learning_rate': 2.4712230215827338e-05, 'epoch': 7.53} -{'loss': 0.4319, 'grad_norm': 4.871913433074951, 'learning_rate': 2.469424460431655e-05, 'epoch': 7.54} -{'loss': 0.4285, 'grad_norm': 1.6088680028915405, 'learning_rate': 2.4676258992805757e-05, 'epoch': 7.54} -{'loss': 0.4323, 'grad_norm': 4.613924026489258, 'learning_rate': 2.4658273381294965e-05, 'epoch': 7.54} -{'loss': 0.4239, 'grad_norm': 6.868031978607178, 'learning_rate': 2.4640287769784172e-05, 'epoch': 7.54} - 76%|█████████████████████████████████████████████████████████████████████▌ | 4210/5570 [1:07:16<18:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4387016296386719, 'eval_runtime': 1.5435, 'eval_samples_per_second': 466.478, 'eval_steps_per_second': 3.887, 'epoch': 7.54} -{'loss': 0.4235, 'grad_norm': 4.129029750823975, 'learning_rate': 2.4622302158273383e-05, 'epoch': 7.54} -{'loss': 0.4383, 'grad_norm': 4.015171051025391, 'learning_rate': 2.460431654676259e-05, 'epoch': 7.54} -{'loss': 0.4116, 'grad_norm': 2.6568400859832764, 'learning_rate': 2.45863309352518e-05, 'epoch': 7.55} -{'loss': 0.4353, 'grad_norm': 9.651700973510742, 'learning_rate': 2.4568345323741007e-05, 'epoch': 7.55} -{'loss': 0.4343, 'grad_norm': 6.432346820831299, 'learning_rate': 2.4550359712230218e-05, 'epoch': 7.55} -{'loss': 0.4329, 'grad_norm': 5.750268459320068, 'learning_rate': 2.4532374100719425e-05, 'epoch': 7.55} -{'loss': 0.429, 'grad_norm': 3.1321218013763428, 'learning_rate': 2.4514388489208633e-05, 'epoch': 7.55} -{'loss': 0.4244, 'grad_norm': 3.8026485443115234, 'learning_rate': 2.4496402877697844e-05, 'epoch': 7.55} -{'loss': 0.4308, 'grad_norm': 5.222698211669922, 'learning_rate': 2.4478417266187052e-05, 'epoch': 7.56} -{'loss': 0.4371, 'grad_norm': 5.078909397125244, 'learning_rate': 2.446043165467626e-05, 'epoch': 7.56} - 76%|█████████████████████████████████████████████████████████████████████▋ | 4220/5570 [1:07:26<18:14, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.435823529958725, 'eval_runtime': 1.5334, 'eval_samples_per_second': 469.56, 'eval_steps_per_second': 3.913, 'epoch': 7.56} -{'loss': 0.4236, 'grad_norm': 1.7634326219558716, 'learning_rate': 2.4442446043165467e-05, 'epoch': 7.56} -{'loss': 0.4286, 'grad_norm': 6.477226734161377, 'learning_rate': 2.442446043165468e-05, 'epoch': 7.56} -{'loss': 0.4206, 'grad_norm': 6.0492048263549805, 'learning_rate': 2.4406474820143886e-05, 'epoch': 7.56} -{'loss': 0.4292, 'grad_norm': 1.9143956899642944, 'learning_rate': 2.4388489208633094e-05, 'epoch': 7.57} -{'loss': 0.431, 'grad_norm': 5.320873260498047, 'learning_rate': 2.4370503597122305e-05, 'epoch': 7.57} -{'loss': 0.4325, 'grad_norm': 6.083053112030029, 'learning_rate': 2.4352517985611513e-05, 'epoch': 7.57} -{'loss': 0.4247, 'grad_norm': 4.857202053070068, 'learning_rate': 2.433453237410072e-05, 'epoch': 7.57} -{'loss': 0.4152, 'grad_norm': 1.775730848312378, 'learning_rate': 2.4316546762589928e-05, 'epoch': 7.57} -{'loss': 0.4287, 'grad_norm': 4.5766921043396, 'learning_rate': 2.429856115107914e-05, 'epoch': 7.57} -{'loss': 0.4195, 'grad_norm': 5.445459365844727, 'learning_rate': 2.4280575539568347e-05, 'epoch': 7.58} - 76%|█████████████████████████████████████████████████████████████████████▊ | 4230/5570 [1:07:36<18:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43953847885131836, 'eval_runtime': 1.8225, 'eval_samples_per_second': 395.061, 'eval_steps_per_second': 3.292, 'epoch': 7.58} -{'loss': 0.4269, 'grad_norm': 6.110843658447266, 'learning_rate': 2.4262589928057555e-05, 'epoch': 7.58} -{'loss': 0.4253, 'grad_norm': 2.514425039291382, 'learning_rate': 2.4244604316546766e-05, 'epoch': 7.58} -{'loss': 0.4277, 'grad_norm': 4.89228630065918, 'learning_rate': 2.4226618705035973e-05, 'epoch': 7.58} -{'loss': 0.4332, 'grad_norm': 4.9568610191345215, 'learning_rate': 2.420863309352518e-05, 'epoch': 7.58} -{'loss': 0.4356, 'grad_norm': 7.105670928955078, 'learning_rate': 2.419064748201439e-05, 'epoch': 7.59} -{'loss': 0.4206, 'grad_norm': 4.703436374664307, 'learning_rate': 2.41726618705036e-05, 'epoch': 7.59} -{'loss': 0.4281, 'grad_norm': 2.6618340015411377, 'learning_rate': 2.4154676258992808e-05, 'epoch': 7.59} -{'loss': 0.4261, 'grad_norm': 2.52270770072937, 'learning_rate': 2.4136690647482015e-05, 'epoch': 7.59} -{'loss': 0.4254, 'grad_norm': 2.9289653301239014, 'learning_rate': 2.4118705035971223e-05, 'epoch': 7.59} -{'loss': 0.4199, 'grad_norm': 3.7971112728118896, 'learning_rate': 2.4100719424460434e-05, 'epoch': 7.59} - 76%|██████████████████████████████████████████████████████████████████████ | 4240/5570 [1:07:45<18:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4379548728466034, 'eval_runtime': 1.5542, 'eval_samples_per_second': 463.27, 'eval_steps_per_second': 3.861, 'epoch': 7.59} -{'loss': 0.4264, 'grad_norm': 3.9228835105895996, 'learning_rate': 2.4082733812949642e-05, 'epoch': 7.6} -{'loss': 0.4221, 'grad_norm': 3.5107569694519043, 'learning_rate': 2.406474820143885e-05, 'epoch': 7.6} -{'loss': 0.4279, 'grad_norm': 2.5763180255889893, 'learning_rate': 2.404676258992806e-05, 'epoch': 7.6} -{'loss': 0.42, 'grad_norm': 3.07311749458313, 'learning_rate': 2.4028776978417268e-05, 'epoch': 7.6} -{'loss': 0.4247, 'grad_norm': 4.370901584625244, 'learning_rate': 2.4010791366906476e-05, 'epoch': 7.6} -{'loss': 0.423, 'grad_norm': 3.232362985610962, 'learning_rate': 2.3992805755395684e-05, 'epoch': 7.61} -{'loss': 0.4254, 'grad_norm': 3.3452534675598145, 'learning_rate': 2.3974820143884895e-05, 'epoch': 7.61} -{'loss': 0.421, 'grad_norm': 1.9220291376113892, 'learning_rate': 2.39568345323741e-05, 'epoch': 7.61} -{'loss': 0.4353, 'grad_norm': 4.835890769958496, 'learning_rate': 2.393884892086331e-05, 'epoch': 7.61} -{'loss': 0.4269, 'grad_norm': 3.7667202949523926, 'learning_rate': 2.392086330935252e-05, 'epoch': 7.61} - 76%|██████████████████████████████████████████████████████████████████████▏ | 4250/5570 [1:07:55<18:01, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4367660582065582, 'eval_runtime': 1.5413, 'eval_samples_per_second': 467.136, 'eval_steps_per_second': 3.893, 'epoch': 7.61} -{'loss': 0.4218, 'grad_norm': 3.2989273071289062, 'learning_rate': 2.390287769784173e-05, 'epoch': 7.61} -{'loss': 0.4255, 'grad_norm': 4.148593902587891, 'learning_rate': 2.3884892086330937e-05, 'epoch': 7.62} -{'loss': 0.4268, 'grad_norm': 3.1868577003479004, 'learning_rate': 2.3866906474820144e-05, 'epoch': 7.62} -{'loss': 0.4215, 'grad_norm': 3.490795612335205, 'learning_rate': 2.3848920863309356e-05, 'epoch': 7.62} -{'loss': 0.419, 'grad_norm': 3.328765630722046, 'learning_rate': 2.383093525179856e-05, 'epoch': 7.62} -{'loss': 0.4216, 'grad_norm': 2.739715337753296, 'learning_rate': 2.381294964028777e-05, 'epoch': 7.62} -{'loss': 0.4229, 'grad_norm': 1.6701936721801758, 'learning_rate': 2.3794964028776982e-05, 'epoch': 7.62} -{'loss': 0.4291, 'grad_norm': 1.7303473949432373, 'learning_rate': 2.3776978417266186e-05, 'epoch': 7.63} -{'loss': 0.4247, 'grad_norm': 6.275942325592041, 'learning_rate': 2.3758992805755397e-05, 'epoch': 7.63} -{'loss': 0.4316, 'grad_norm': 4.983136177062988, 'learning_rate': 2.3741007194244605e-05, 'epoch': 7.63} - 76%|██████████████████████████████████████████████████████████████████████▎ | 4260/5570 [1:08:05<17:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.437350332736969, 'eval_runtime': 1.5394, 'eval_samples_per_second': 467.706, 'eval_steps_per_second': 3.898, 'epoch': 7.63} -{'loss': 0.4217, 'grad_norm': 2.3926405906677246, 'learning_rate': 2.3723021582733816e-05, 'epoch': 7.63} -{'loss': 0.4232, 'grad_norm': 2.7794551849365234, 'learning_rate': 2.370503597122302e-05, 'epoch': 7.63} -{'loss': 0.4199, 'grad_norm': 1.6118773221969604, 'learning_rate': 2.368705035971223e-05, 'epoch': 7.64} -{'loss': 0.42, 'grad_norm': 3.638437271118164, 'learning_rate': 2.366906474820144e-05, 'epoch': 7.64} -{'loss': 0.4251, 'grad_norm': 3.0901095867156982, 'learning_rate': 2.3651079136690647e-05, 'epoch': 7.64} -{'loss': 0.431, 'grad_norm': 2.894333839416504, 'learning_rate': 2.3633093525179858e-05, 'epoch': 7.64} -{'loss': 0.4286, 'grad_norm': 2.6318154335021973, 'learning_rate': 2.3615107913669066e-05, 'epoch': 7.64} -{'loss': 0.4273, 'grad_norm': 3.2779111862182617, 'learning_rate': 2.3597122302158277e-05, 'epoch': 7.64} -{'loss': 0.4295, 'grad_norm': 5.071246147155762, 'learning_rate': 2.357913669064748e-05, 'epoch': 7.65} -{'loss': 0.4401, 'grad_norm': 3.093179941177368, 'learning_rate': 2.3561151079136692e-05, 'epoch': 7.65} - 77%|██████████████████████████████████████████████████████████████████████▌ | 4270/5570 [1:08:14<17:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4380120038986206, 'eval_runtime': 1.5554, 'eval_samples_per_second': 462.909, 'eval_steps_per_second': 3.858, 'epoch': 7.65} -{'loss': 0.431, 'grad_norm': 2.0657734870910645, 'learning_rate': 2.35431654676259e-05, 'epoch': 7.65} -{'loss': 0.4189, 'grad_norm': 4.061156272888184, 'learning_rate': 2.3525179856115108e-05, 'epoch': 7.65} -{'loss': 0.4389, 'grad_norm': 3.550348997116089, 'learning_rate': 2.3507194244604316e-05, 'epoch': 7.65} -{'loss': 0.4197, 'grad_norm': 4.077802658081055, 'learning_rate': 2.3489208633093527e-05, 'epoch': 7.66} -{'loss': 0.4303, 'grad_norm': 7.5375823974609375, 'learning_rate': 2.3471223021582738e-05, 'epoch': 7.66} -{'loss': 0.4243, 'grad_norm': 3.975243330001831, 'learning_rate': 2.3453237410071942e-05, 'epoch': 7.66} -{'loss': 0.4321, 'grad_norm': 2.2547240257263184, 'learning_rate': 2.3435251798561153e-05, 'epoch': 7.66} -{'loss': 0.4185, 'grad_norm': 3.5471558570861816, 'learning_rate': 2.341726618705036e-05, 'epoch': 7.66} -{'loss': 0.4246, 'grad_norm': 1.111730933189392, 'learning_rate': 2.339928057553957e-05, 'epoch': 7.66} -{'loss': 0.4213, 'grad_norm': 4.835376262664795, 'learning_rate': 2.3381294964028776e-05, 'epoch': 7.67} - 77%|██████████████████████████████████████████████████████████████████████▋ | 4280/5570 [1:08:24<17:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43908530473709106, 'eval_runtime': 1.5495, 'eval_samples_per_second': 464.652, 'eval_steps_per_second': 3.872, 'epoch': 7.67} -{'loss': 0.4265, 'grad_norm': 3.6672840118408203, 'learning_rate': 2.3363309352517987e-05, 'epoch': 7.67} -{'loss': 0.4326, 'grad_norm': 3.7476658821105957, 'learning_rate': 2.3345323741007195e-05, 'epoch': 7.67} -{'loss': 0.4357, 'grad_norm': 1.3346954584121704, 'learning_rate': 2.3327338129496403e-05, 'epoch': 7.67} -{'loss': 0.4335, 'grad_norm': 1.9716624021530151, 'learning_rate': 2.3309352517985614e-05, 'epoch': 7.67} -{'loss': 0.4105, 'grad_norm': 2.5386061668395996, 'learning_rate': 2.329136690647482e-05, 'epoch': 7.68} -{'loss': 0.4208, 'grad_norm': 2.2579421997070312, 'learning_rate': 2.327338129496403e-05, 'epoch': 7.68} -{'loss': 0.4303, 'grad_norm': 1.595916509628296, 'learning_rate': 2.3255395683453237e-05, 'epoch': 7.68} -{'loss': 0.4297, 'grad_norm': 3.3700828552246094, 'learning_rate': 2.3237410071942448e-05, 'epoch': 7.68} -{'loss': 0.4246, 'grad_norm': 4.505073070526123, 'learning_rate': 2.3219424460431656e-05, 'epoch': 7.68} -{'loss': 0.4341, 'grad_norm': 2.8548853397369385, 'learning_rate': 2.3201438848920864e-05, 'epoch': 7.68} - 77%|██████████████████████████████████████████████████████████████████████▊ | 4290/5570 [1:08:33<17:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44135966897010803, 'eval_runtime': 1.5394, 'eval_samples_per_second': 467.719, 'eval_steps_per_second': 3.898, 'epoch': 7.68} -{'loss': 0.4274, 'grad_norm': 4.629254341125488, 'learning_rate': 2.3183453237410075e-05, 'epoch': 7.69} -{'loss': 0.4363, 'grad_norm': 8.390663146972656, 'learning_rate': 2.3165467625899282e-05, 'epoch': 7.69} -{'loss': 0.4427, 'grad_norm': 9.313167572021484, 'learning_rate': 2.314748201438849e-05, 'epoch': 7.69} -{'loss': 0.4351, 'grad_norm': 3.8180906772613525, 'learning_rate': 2.3129496402877698e-05, 'epoch': 7.69} -{'loss': 0.4249, 'grad_norm': 2.6273577213287354, 'learning_rate': 2.311151079136691e-05, 'epoch': 7.69} -{'loss': 0.4254, 'grad_norm': 6.55994987487793, 'learning_rate': 2.3093525179856117e-05, 'epoch': 7.69} -{'loss': 0.4221, 'grad_norm': 1.8412153720855713, 'learning_rate': 2.3075539568345324e-05, 'epoch': 7.7} -{'loss': 0.4322, 'grad_norm': 5.058341979980469, 'learning_rate': 2.3057553956834532e-05, 'epoch': 7.7} -{'loss': 0.4469, 'grad_norm': 4.870355606079102, 'learning_rate': 2.3039568345323743e-05, 'epoch': 7.7} -{'loss': 0.4392, 'grad_norm': 7.457696437835693, 'learning_rate': 2.302158273381295e-05, 'epoch': 7.7} - 77%|███████████████████████████████████████████████████████████████████████ | 4300/5570 [1:08:43<17:16, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4414232075214386, 'eval_runtime': 1.5328, 'eval_samples_per_second': 469.728, 'eval_steps_per_second': 3.914, 'epoch': 7.7} -{'loss': 0.4383, 'grad_norm': 7.096556663513184, 'learning_rate': 2.300359712230216e-05, 'epoch': 7.7} -{'loss': 0.4261, 'grad_norm': 6.013672828674316, 'learning_rate': 2.298561151079137e-05, 'epoch': 7.71} -{'loss': 0.4271, 'grad_norm': 2.591085195541382, 'learning_rate': 2.2967625899280577e-05, 'epoch': 7.71} -{'loss': 0.4214, 'grad_norm': 6.499540328979492, 'learning_rate': 2.2949640287769785e-05, 'epoch': 7.71} -{'loss': 0.4269, 'grad_norm': 5.5138258934021, 'learning_rate': 2.2931654676258993e-05, 'epoch': 7.71} -{'loss': 0.4248, 'grad_norm': 6.330465793609619, 'learning_rate': 2.2913669064748204e-05, 'epoch': 7.71} -{'loss': 0.4154, 'grad_norm': 3.2090647220611572, 'learning_rate': 2.289568345323741e-05, 'epoch': 7.71} -{'loss': 0.4163, 'grad_norm': 2.713772773742676, 'learning_rate': 2.287769784172662e-05, 'epoch': 7.72} -{'loss': 0.4251, 'grad_norm': 6.749833106994629, 'learning_rate': 2.285971223021583e-05, 'epoch': 7.72} -{'loss': 0.4191, 'grad_norm': 6.128086566925049, 'learning_rate': 2.2841726618705038e-05, 'epoch': 7.72} - 77%|███████████████████████████████████████████████████████████████████████▏ | 4310/5570 [1:08:53<17:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44094550609588623, 'eval_runtime': 1.5414, 'eval_samples_per_second': 467.115, 'eval_steps_per_second': 3.893, 'epoch': 7.72} -{'loss': 0.4261, 'grad_norm': 3.897143602371216, 'learning_rate': 2.2823741007194246e-05, 'epoch': 7.72} -{'loss': 0.4171, 'grad_norm': 2.6503007411956787, 'learning_rate': 2.2805755395683453e-05, 'epoch': 7.72} -{'loss': 0.4293, 'grad_norm': 5.169769287109375, 'learning_rate': 2.2787769784172665e-05, 'epoch': 7.73} -{'loss': 0.434, 'grad_norm': 6.879311561584473, 'learning_rate': 2.276978417266187e-05, 'epoch': 7.73} -{'loss': 0.4277, 'grad_norm': 5.8189873695373535, 'learning_rate': 2.275179856115108e-05, 'epoch': 7.73} -{'loss': 0.43, 'grad_norm': 4.7627692222595215, 'learning_rate': 2.273381294964029e-05, 'epoch': 7.73} -{'loss': 0.4189, 'grad_norm': 2.150902032852173, 'learning_rate': 2.27158273381295e-05, 'epoch': 7.73} -{'loss': 0.425, 'grad_norm': 3.9570987224578857, 'learning_rate': 2.2697841726618706e-05, 'epoch': 7.73} -{'loss': 0.4199, 'grad_norm': 3.3490052223205566, 'learning_rate': 2.2679856115107914e-05, 'epoch': 7.74} -{'loss': 0.4132, 'grad_norm': 1.7186845541000366, 'learning_rate': 2.2661870503597125e-05, 'epoch': 7.74} - 78%|███████████████████████████████████████████████████████████████████████▎ | 4320/5570 [1:09:02<16:56, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4377669394016266, 'eval_runtime': 1.5162, 'eval_samples_per_second': 474.877, 'eval_steps_per_second': 3.957, 'epoch': 7.74} -{'loss': 0.4255, 'grad_norm': 3.8057219982147217, 'learning_rate': 2.264388489208633e-05, 'epoch': 7.74} -{'loss': 0.4208, 'grad_norm': 5.362548351287842, 'learning_rate': 2.262589928057554e-05, 'epoch': 7.74} -{'loss': 0.4188, 'grad_norm': 3.7830898761749268, 'learning_rate': 2.260791366906475e-05, 'epoch': 7.74} -{'loss': 0.4339, 'grad_norm': 5.083451747894287, 'learning_rate': 2.258992805755396e-05, 'epoch': 7.75} -{'loss': 0.4104, 'grad_norm': 3.889808416366577, 'learning_rate': 2.2571942446043167e-05, 'epoch': 7.75} -{'loss': 0.4233, 'grad_norm': 2.240814447402954, 'learning_rate': 2.2553956834532375e-05, 'epoch': 7.75} -{'loss': 0.4131, 'grad_norm': 3.5337023735046387, 'learning_rate': 2.2535971223021586e-05, 'epoch': 7.75} -{'loss': 0.4317, 'grad_norm': 7.257523059844971, 'learning_rate': 2.251798561151079e-05, 'epoch': 7.75} -{'loss': 0.424, 'grad_norm': 3.7986302375793457, 'learning_rate': 2.25e-05, 'epoch': 7.75} -{'loss': 0.4304, 'grad_norm': 3.2915353775024414, 'learning_rate': 2.248201438848921e-05, 'epoch': 7.76} - 78%|███████████████████████████████████████████████████████████████████████▌ | 4330/5570 [1:09:12<16:52, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4423770010471344, 'eval_runtime': 1.5445, 'eval_samples_per_second': 466.168, 'eval_steps_per_second': 3.885, 'epoch': 7.76} -{'loss': 0.427, 'grad_norm': 4.2741241455078125, 'learning_rate': 2.246402877697842e-05, 'epoch': 7.76} -{'loss': 0.4384, 'grad_norm': 6.372360706329346, 'learning_rate': 2.2446043165467625e-05, 'epoch': 7.76} -{'loss': 0.4236, 'grad_norm': 3.4704229831695557, 'learning_rate': 2.2428057553956836e-05, 'epoch': 7.76} -{'loss': 0.4336, 'grad_norm': 3.2552144527435303, 'learning_rate': 2.2410071942446047e-05, 'epoch': 7.76} -{'loss': 0.4293, 'grad_norm': 3.2329609394073486, 'learning_rate': 2.239208633093525e-05, 'epoch': 7.76} -{'loss': 0.4338, 'grad_norm': 4.168474197387695, 'learning_rate': 2.2374100719424462e-05, 'epoch': 7.77} -{'loss': 0.4193, 'grad_norm': 2.600788116455078, 'learning_rate': 2.235611510791367e-05, 'epoch': 7.77} -{'loss': 0.4427, 'grad_norm': 5.501397609710693, 'learning_rate': 2.2338129496402878e-05, 'epoch': 7.77} -{'loss': 0.445, 'grad_norm': 4.464057445526123, 'learning_rate': 2.2320143884892085e-05, 'epoch': 7.77} -{'loss': 0.4212, 'grad_norm': 1.8013023138046265, 'learning_rate': 2.2302158273381296e-05, 'epoch': 7.77} - 78%|███████████████████████████████████████████████████████████████████████▋ | 4340/5570 [1:09:21<16:42, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4397023022174835, 'eval_runtime': 1.5359, 'eval_samples_per_second': 468.767, 'eval_steps_per_second': 3.906, 'epoch': 7.77} -{'loss': 0.436, 'grad_norm': 6.364851951599121, 'learning_rate': 2.2284172661870507e-05, 'epoch': 7.78} -{'loss': 0.434, 'grad_norm': 6.769198417663574, 'learning_rate': 2.2266187050359712e-05, 'epoch': 7.78} -{'loss': 0.4241, 'grad_norm': 3.882681131362915, 'learning_rate': 2.2248201438848923e-05, 'epoch': 7.78} -{'loss': 0.4197, 'grad_norm': 2.207603931427002, 'learning_rate': 2.223021582733813e-05, 'epoch': 7.78} -{'loss': 0.4301, 'grad_norm': 4.2073469161987305, 'learning_rate': 2.2212230215827338e-05, 'epoch': 7.78} -{'loss': 0.4318, 'grad_norm': 4.0273542404174805, 'learning_rate': 2.2194244604316546e-05, 'epoch': 7.78} -{'loss': 0.4162, 'grad_norm': 2.2636618614196777, 'learning_rate': 2.2176258992805757e-05, 'epoch': 7.79} -{'loss': 0.4181, 'grad_norm': 2.4261388778686523, 'learning_rate': 2.2158273381294965e-05, 'epoch': 7.79} -{'loss': 0.4243, 'grad_norm': 4.576368808746338, 'learning_rate': 2.2140287769784173e-05, 'epoch': 7.79} -{'loss': 0.4281, 'grad_norm': 6.2203521728515625, 'learning_rate': 2.2122302158273384e-05, 'epoch': 7.79} - 78%|███████████████████████████████████████████████████████████████████████▊ | 4350/5570 [1:09:31<16:40, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43784916400909424, 'eval_runtime': 1.5412, 'eval_samples_per_second': 467.183, 'eval_steps_per_second': 3.893, 'epoch': 7.79} -{'loss': 0.4242, 'grad_norm': 2.9699811935424805, 'learning_rate': 2.210431654676259e-05, 'epoch': 7.79} -{'loss': 0.4147, 'grad_norm': 2.8093903064727783, 'learning_rate': 2.20863309352518e-05, 'epoch': 7.8} -{'loss': 0.4278, 'grad_norm': 4.225284099578857, 'learning_rate': 2.2068345323741007e-05, 'epoch': 7.8} -{'loss': 0.4144, 'grad_norm': 3.7366740703582764, 'learning_rate': 2.2050359712230218e-05, 'epoch': 7.8} -{'loss': 0.421, 'grad_norm': 8.26372241973877, 'learning_rate': 2.2032374100719426e-05, 'epoch': 7.8} -{'loss': 0.4301, 'grad_norm': 4.780455589294434, 'learning_rate': 2.2014388489208633e-05, 'epoch': 7.8} -{'loss': 0.4264, 'grad_norm': 3.861147880554199, 'learning_rate': 2.199640287769784e-05, 'epoch': 7.8} -{'loss': 0.4268, 'grad_norm': 2.2993111610412598, 'learning_rate': 2.1978417266187052e-05, 'epoch': 7.81} -{'loss': 0.4347, 'grad_norm': 5.55757474899292, 'learning_rate': 2.196043165467626e-05, 'epoch': 7.81} -{'loss': 0.4285, 'grad_norm': 5.114405632019043, 'learning_rate': 2.1942446043165467e-05, 'epoch': 7.81} - 78%|████████████████████████████████████████████████████████████████████████ | 4360/5570 [1:09:40<16:26, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43822649121284485, 'eval_runtime': 1.5393, 'eval_samples_per_second': 467.736, 'eval_steps_per_second': 3.898, 'epoch': 7.81} -{'loss': 0.4258, 'grad_norm': 3.611196517944336, 'learning_rate': 2.192446043165468e-05, 'epoch': 7.81} -{'loss': 0.4078, 'grad_norm': 2.685070753097534, 'learning_rate': 2.1906474820143886e-05, 'epoch': 7.81} -{'loss': 0.4309, 'grad_norm': 5.561771392822266, 'learning_rate': 2.1888489208633094e-05, 'epoch': 7.82} -{'loss': 0.4325, 'grad_norm': 8.198272705078125, 'learning_rate': 2.1870503597122302e-05, 'epoch': 7.82} -{'loss': 0.4401, 'grad_norm': 8.267436027526855, 'learning_rate': 2.1852517985611513e-05, 'epoch': 7.82} -{'loss': 0.4297, 'grad_norm': 4.046854019165039, 'learning_rate': 2.183453237410072e-05, 'epoch': 7.82} -{'loss': 0.4243, 'grad_norm': 2.2257823944091797, 'learning_rate': 2.1816546762589928e-05, 'epoch': 7.82} -{'loss': 0.4319, 'grad_norm': 3.057762622833252, 'learning_rate': 2.179856115107914e-05, 'epoch': 7.82} -{'loss': 0.4284, 'grad_norm': 5.058165550231934, 'learning_rate': 2.1780575539568347e-05, 'epoch': 7.83} -{'loss': 0.432, 'grad_norm': 7.2937846183776855, 'learning_rate': 2.1762589928057555e-05, 'epoch': 7.83} - 78%|████████████████████████████████████████████████████████████████████████▏ | 4370/5570 [1:09:50<16:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43772539496421814, 'eval_runtime': 1.5245, 'eval_samples_per_second': 472.277, 'eval_steps_per_second': 3.936, 'epoch': 7.83} -{'loss': 0.4237, 'grad_norm': 4.311036586761475, 'learning_rate': 2.1744604316546762e-05, 'epoch': 7.83} -{'loss': 0.4295, 'grad_norm': 2.924406051635742, 'learning_rate': 2.1726618705035974e-05, 'epoch': 7.83} -{'loss': 0.432, 'grad_norm': 4.7414398193359375, 'learning_rate': 2.170863309352518e-05, 'epoch': 7.83} -{'loss': 0.4306, 'grad_norm': 7.144505500793457, 'learning_rate': 2.169064748201439e-05, 'epoch': 7.83} -{'loss': 0.4275, 'grad_norm': 5.612933158874512, 'learning_rate': 2.16726618705036e-05, 'epoch': 7.84} -{'loss': 0.4309, 'grad_norm': 2.080803632736206, 'learning_rate': 2.1654676258992808e-05, 'epoch': 7.84} -{'loss': 0.4177, 'grad_norm': 3.2103917598724365, 'learning_rate': 2.1636690647482015e-05, 'epoch': 7.84} -{'loss': 0.4262, 'grad_norm': 5.175343036651611, 'learning_rate': 2.1618705035971223e-05, 'epoch': 7.84} -{'loss': 0.43, 'grad_norm': 4.967831134796143, 'learning_rate': 2.1600719424460434e-05, 'epoch': 7.84} -{'loss': 0.442, 'grad_norm': 3.5691630840301514, 'learning_rate': 2.1582733812949642e-05, 'epoch': 7.85} - 79%|████████████████████████████████████████████████████████████████████████▎ | 4380/5570 [1:10:00<16:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43701812624931335, 'eval_runtime': 1.5244, 'eval_samples_per_second': 472.319, 'eval_steps_per_second': 3.936, 'epoch': 7.85} -{'loss': 0.4253, 'grad_norm': 2.0647964477539062, 'learning_rate': 2.156474820143885e-05, 'epoch': 7.85} -{'loss': 0.4261, 'grad_norm': 6.079742908477783, 'learning_rate': 2.1546762589928057e-05, 'epoch': 7.85} -{'loss': 0.4199, 'grad_norm': 4.847372531890869, 'learning_rate': 2.152877697841727e-05, 'epoch': 7.85} -{'loss': 0.4211, 'grad_norm': 1.7141437530517578, 'learning_rate': 2.1510791366906476e-05, 'epoch': 7.85} -{'loss': 0.418, 'grad_norm': 3.019213914871216, 'learning_rate': 2.1492805755395684e-05, 'epoch': 7.85} -{'loss': 0.4205, 'grad_norm': 4.620217800140381, 'learning_rate': 2.1474820143884895e-05, 'epoch': 7.86} -{'loss': 0.4242, 'grad_norm': 3.5486385822296143, 'learning_rate': 2.14568345323741e-05, 'epoch': 7.86} -{'loss': 0.4182, 'grad_norm': 2.715879440307617, 'learning_rate': 2.143884892086331e-05, 'epoch': 7.86} -{'loss': 0.431, 'grad_norm': 3.1266350746154785, 'learning_rate': 2.1420863309352518e-05, 'epoch': 7.86} -{'loss': 0.4233, 'grad_norm': 2.8679423332214355, 'learning_rate': 2.140287769784173e-05, 'epoch': 7.86} - 79%|████████████████████████████████████████████████████████████████████████▌ | 4390/5570 [1:10:09<16:02, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4354630708694458, 'eval_runtime': 1.5381, 'eval_samples_per_second': 468.112, 'eval_steps_per_second': 3.901, 'epoch': 7.86} -{'loss': 0.4152, 'grad_norm': 3.1044178009033203, 'learning_rate': 2.1384892086330937e-05, 'epoch': 7.87} -{'loss': 0.4296, 'grad_norm': 3.0070960521698, 'learning_rate': 2.1366906474820145e-05, 'epoch': 7.87} -{'loss': 0.4234, 'grad_norm': 1.3595491647720337, 'learning_rate': 2.1348920863309356e-05, 'epoch': 7.87} -{'loss': 0.4249, 'grad_norm': 5.014647960662842, 'learning_rate': 2.133093525179856e-05, 'epoch': 7.87} -{'loss': 0.4164, 'grad_norm': 3.3876845836639404, 'learning_rate': 2.131294964028777e-05, 'epoch': 7.87} -{'loss': 0.4225, 'grad_norm': 3.5612876415252686, 'learning_rate': 2.129496402877698e-05, 'epoch': 7.87} -{'loss': 0.4165, 'grad_norm': 3.1447415351867676, 'learning_rate': 2.127697841726619e-05, 'epoch': 7.88} -{'loss': 0.4263, 'grad_norm': 1.6980843544006348, 'learning_rate': 2.1258992805755394e-05, 'epoch': 7.88} -{'loss': 0.4071, 'grad_norm': 3.866738796234131, 'learning_rate': 2.1241007194244605e-05, 'epoch': 7.88} -{'loss': 0.4257, 'grad_norm': 4.769102096557617, 'learning_rate': 2.1223021582733816e-05, 'epoch': 7.88} - 79%|████████████████████████████████████████████████████████████████████████▋ | 4400/5570 [1:10:19<15:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4386994242668152, 'eval_runtime': 1.5322, 'eval_samples_per_second': 469.926, 'eval_steps_per_second': 3.916, 'epoch': 7.88} -{'loss': 0.4193, 'grad_norm': 4.379973888397217, 'learning_rate': 2.120503597122302e-05, 'epoch': 7.88} -{'loss': 0.4312, 'grad_norm': 2.8467447757720947, 'learning_rate': 2.1187050359712232e-05, 'epoch': 7.89} -{'loss': 0.4188, 'grad_norm': 3.884321689605713, 'learning_rate': 2.116906474820144e-05, 'epoch': 7.89} -{'loss': 0.4131, 'grad_norm': 3.8739941120147705, 'learning_rate': 2.115107913669065e-05, 'epoch': 7.89} -{'loss': 0.4201, 'grad_norm': 2.4707112312316895, 'learning_rate': 2.1133093525179855e-05, 'epoch': 7.89} -{'loss': 0.4189, 'grad_norm': 5.917235374450684, 'learning_rate': 2.1115107913669066e-05, 'epoch': 7.89} -{'loss': 0.426, 'grad_norm': 2.6258082389831543, 'learning_rate': 2.1097122302158274e-05, 'epoch': 7.89} -{'loss': 0.43, 'grad_norm': 2.534850835800171, 'learning_rate': 2.107913669064748e-05, 'epoch': 7.9} -{'loss': 0.4232, 'grad_norm': 2.999382257461548, 'learning_rate': 2.1061151079136693e-05, 'epoch': 7.9} -{'loss': 0.4314, 'grad_norm': 4.545175552368164, 'learning_rate': 2.10431654676259e-05, 'epoch': 7.9} - 79%|████████████████████████████████████████████████████████████████████████▊ | 4410/5570 [1:10:28<15:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4372160732746124, 'eval_runtime': 1.5511, 'eval_samples_per_second': 464.179, 'eval_steps_per_second': 3.868, 'epoch': 7.9} -{'loss': 0.4187, 'grad_norm': 5.328221321105957, 'learning_rate': 2.102517985611511e-05, 'epoch': 7.9} -{'loss': 0.4278, 'grad_norm': 4.000726699829102, 'learning_rate': 2.1007194244604316e-05, 'epoch': 7.9} -{'loss': 0.4103, 'grad_norm': 2.0586066246032715, 'learning_rate': 2.0989208633093527e-05, 'epoch': 7.9} -{'loss': 0.4277, 'grad_norm': 4.730618953704834, 'learning_rate': 2.0971223021582735e-05, 'epoch': 7.91} -{'loss': 0.433, 'grad_norm': 3.485663652420044, 'learning_rate': 2.0953237410071942e-05, 'epoch': 7.91} -{'loss': 0.4235, 'grad_norm': 2.082324266433716, 'learning_rate': 2.093525179856115e-05, 'epoch': 7.91} -{'loss': 0.428, 'grad_norm': 1.6099822521209717, 'learning_rate': 2.091726618705036e-05, 'epoch': 7.91} -{'loss': 0.4315, 'grad_norm': 3.4716315269470215, 'learning_rate': 2.089928057553957e-05, 'epoch': 7.91} -{'loss': 0.4233, 'grad_norm': 1.384576678276062, 'learning_rate': 2.0881294964028776e-05, 'epoch': 7.92} -{'loss': 0.4184, 'grad_norm': 2.6775405406951904, 'learning_rate': 2.0863309352517988e-05, 'epoch': 7.92} - 79%|█████████████████████████████████████████████████████████████████████████ | 4420/5570 [1:10:38<15:34, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.437597393989563, 'eval_runtime': 1.5306, 'eval_samples_per_second': 470.395, 'eval_steps_per_second': 3.92, 'epoch': 7.92} -{'loss': 0.42, 'grad_norm': 2.1761112213134766, 'learning_rate': 2.0845323741007195e-05, 'epoch': 7.92} -{'loss': 0.423, 'grad_norm': 2.88840651512146, 'learning_rate': 2.0827338129496403e-05, 'epoch': 7.92} -{'loss': 0.4349, 'grad_norm': 1.7089152336120605, 'learning_rate': 2.080935251798561e-05, 'epoch': 7.92} -{'loss': 0.4168, 'grad_norm': 2.5896341800689697, 'learning_rate': 2.0791366906474822e-05, 'epoch': 7.92} -{'loss': 0.4332, 'grad_norm': 3.151742458343506, 'learning_rate': 2.077338129496403e-05, 'epoch': 7.93} -{'loss': 0.4171, 'grad_norm': 2.0436549186706543, 'learning_rate': 2.0755395683453237e-05, 'epoch': 7.93} -{'loss': 0.4271, 'grad_norm': 2.3618619441986084, 'learning_rate': 2.073741007194245e-05, 'epoch': 7.93} -{'loss': 0.4227, 'grad_norm': 3.148253917694092, 'learning_rate': 2.0719424460431656e-05, 'epoch': 7.93} -{'loss': 0.4241, 'grad_norm': 3.7615954875946045, 'learning_rate': 2.0701438848920864e-05, 'epoch': 7.93} -{'loss': 0.4075, 'grad_norm': 1.9969780445098877, 'learning_rate': 2.068345323741007e-05, 'epoch': 7.94} - 80%|█████████████████████████████████████████████████████████████████████████▏ | 4430/5570 [1:10:48<15:38, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43685147166252136, 'eval_runtime': 1.5344, 'eval_samples_per_second': 469.248, 'eval_steps_per_second': 3.91, 'epoch': 7.94} -{'loss': 0.4223, 'grad_norm': 4.12020206451416, 'learning_rate': 2.0665467625899283e-05, 'epoch': 7.94} -{'loss': 0.4317, 'grad_norm': 2.2432165145874023, 'learning_rate': 2.064748201438849e-05, 'epoch': 7.94} -{'loss': 0.4336, 'grad_norm': 3.15838360786438, 'learning_rate': 2.0629496402877698e-05, 'epoch': 7.94} -{'loss': 0.4306, 'grad_norm': 1.597572922706604, 'learning_rate': 2.061151079136691e-05, 'epoch': 7.94} -{'loss': 0.426, 'grad_norm': 2.3216140270233154, 'learning_rate': 2.0593525179856117e-05, 'epoch': 7.94} -{'loss': 0.4225, 'grad_norm': 3.534254550933838, 'learning_rate': 2.0575539568345324e-05, 'epoch': 7.95} -{'loss': 0.4324, 'grad_norm': 2.436598300933838, 'learning_rate': 2.0557553956834532e-05, 'epoch': 7.95} -{'loss': 0.4254, 'grad_norm': 3.4349448680877686, 'learning_rate': 2.0539568345323743e-05, 'epoch': 7.95} -{'loss': 0.428, 'grad_norm': 3.4522922039031982, 'learning_rate': 2.052158273381295e-05, 'epoch': 7.95} -{'loss': 0.4275, 'grad_norm': 1.3675355911254883, 'learning_rate': 2.050359712230216e-05, 'epoch': 7.95} - 80%|█████████████████████████████████████████████████████████████████████████▎ | 4440/5570 [1:10:57<15:24, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4360789954662323, 'eval_runtime': 1.546, 'eval_samples_per_second': 465.725, 'eval_steps_per_second': 3.881, 'epoch': 7.95} -{'loss': 0.4126, 'grad_norm': 2.1487932205200195, 'learning_rate': 2.0485611510791366e-05, 'epoch': 7.96} -{'loss': 0.425, 'grad_norm': 3.0324177742004395, 'learning_rate': 2.0467625899280578e-05, 'epoch': 7.96} -{'loss': 0.4207, 'grad_norm': 4.958806991577148, 'learning_rate': 2.0449640287769785e-05, 'epoch': 7.96} -{'loss': 0.4281, 'grad_norm': 4.424556255340576, 'learning_rate': 2.0431654676258993e-05, 'epoch': 7.96} -{'loss': 0.4314, 'grad_norm': 2.9022207260131836, 'learning_rate': 2.0413669064748204e-05, 'epoch': 7.96} -{'loss': 0.4244, 'grad_norm': 3.465456008911133, 'learning_rate': 2.0395683453237412e-05, 'epoch': 7.96} -{'loss': 0.4257, 'grad_norm': 3.3663315773010254, 'learning_rate': 2.037769784172662e-05, 'epoch': 7.97} -{'loss': 0.4348, 'grad_norm': 1.740264892578125, 'learning_rate': 2.0359712230215827e-05, 'epoch': 7.97} -{'loss': 0.4382, 'grad_norm': 2.4799046516418457, 'learning_rate': 2.0341726618705038e-05, 'epoch': 7.97} -{'loss': 0.4251, 'grad_norm': 2.089817523956299, 'learning_rate': 2.0323741007194246e-05, 'epoch': 7.97} - 80%|█████████████████████████████████████████████████████████████████████████▌ | 4450/5570 [1:11:07<15:13, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43779394030570984, 'eval_runtime': 1.5426, 'eval_samples_per_second': 466.731, 'eval_steps_per_second': 3.889, 'epoch': 7.97} -{'loss': 0.4249, 'grad_norm': 3.6098225116729736, 'learning_rate': 2.0305755395683454e-05, 'epoch': 7.97} -{'loss': 0.4298, 'grad_norm': 2.1852598190307617, 'learning_rate': 2.0287769784172665e-05, 'epoch': 7.97} -{'loss': 0.4273, 'grad_norm': 3.961897134780884, 'learning_rate': 2.0269784172661872e-05, 'epoch': 7.98} -{'loss': 0.4276, 'grad_norm': 3.797527313232422, 'learning_rate': 2.025179856115108e-05, 'epoch': 7.98} -{'loss': 0.4347, 'grad_norm': 7.478896617889404, 'learning_rate': 2.0233812949640288e-05, 'epoch': 7.98} -{'loss': 0.4189, 'grad_norm': 2.3933794498443604, 'learning_rate': 2.02158273381295e-05, 'epoch': 7.98} -{'loss': 0.4248, 'grad_norm': 3.0153937339782715, 'learning_rate': 2.0197841726618703e-05, 'epoch': 7.98} -{'loss': 0.4296, 'grad_norm': 4.135008811950684, 'learning_rate': 2.0179856115107914e-05, 'epoch': 7.99} -{'loss': 0.4205, 'grad_norm': 2.4458870887756348, 'learning_rate': 2.0161870503597125e-05, 'epoch': 7.99} -{'loss': 0.4284, 'grad_norm': 5.637448787689209, 'learning_rate': 2.0143884892086333e-05, 'epoch': 7.99} - 80%|█████████████████████████████████████████████████████████████████████████▋ | 4460/5570 [1:11:16<14:19, 1.29it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4378329813480377, 'eval_runtime': 1.5449, 'eval_samples_per_second': 466.04, 'eval_steps_per_second': 3.884, 'epoch': 7.99} -{'loss': 0.4291, 'grad_norm': 6.213418483734131, 'learning_rate': 2.012589928057554e-05, 'epoch': 7.99} -{'loss': 0.4222, 'grad_norm': 3.782982349395752, 'learning_rate': 2.010791366906475e-05, 'epoch': 7.99} -{'loss': 0.4211, 'grad_norm': 4.1070075035095215, 'learning_rate': 2.008992805755396e-05, 'epoch': 7.99} -{'loss': 0.4299, 'grad_norm': 6.530139446258545, 'learning_rate': 2.0071942446043164e-05, 'epoch': 8.0} -{'loss': 0.4255, 'grad_norm': 5.491635322570801, 'learning_rate': 2.0053956834532375e-05, 'epoch': 8.0} -{'loss': 0.4403, 'grad_norm': 3.8761332035064697, 'learning_rate': 2.0035971223021583e-05, 'epoch': 8.0} -{'loss': 0.4101, 'grad_norm': 3.7365264892578125, 'learning_rate': 2.001798561151079e-05, 'epoch': 8.0} -{'loss': 0.4194, 'grad_norm': 3.995018482208252, 'learning_rate': 2e-05, 'epoch': 8.0} -{'loss': 0.4188, 'grad_norm': 4.499956130981445, 'learning_rate': 1.998201438848921e-05, 'epoch': 8.01} -{'loss': 0.4106, 'grad_norm': 7.452167510986328, 'learning_rate': 1.996402877697842e-05, 'epoch': 8.01} - 80%|█████████████████████████████████████████████████████████████████████████▊ | 4470/5570 [1:11:25<14:53, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43711602687835693, 'eval_runtime': 1.5291, 'eval_samples_per_second': 470.856, 'eval_steps_per_second': 3.924, 'epoch': 8.01} -{'loss': 0.4242, 'grad_norm': 3.8849380016326904, 'learning_rate': 1.9946043165467625e-05, 'epoch': 8.01} -{'loss': 0.4173, 'grad_norm': 2.407353639602661, 'learning_rate': 1.9928057553956836e-05, 'epoch': 8.01} -{'loss': 0.4184, 'grad_norm': 2.4986283779144287, 'learning_rate': 1.9910071942446044e-05, 'epoch': 8.01} -{'loss': 0.4269, 'grad_norm': 4.9824042320251465, 'learning_rate': 1.989208633093525e-05, 'epoch': 8.01} -{'loss': 0.4276, 'grad_norm': 3.915680170059204, 'learning_rate': 1.9874100719424462e-05, 'epoch': 8.02} -{'loss': 0.4144, 'grad_norm': 2.0452897548675537, 'learning_rate': 1.985611510791367e-05, 'epoch': 8.02} -{'loss': 0.4242, 'grad_norm': 3.7739126682281494, 'learning_rate': 1.983812949640288e-05, 'epoch': 8.02} -{'loss': 0.4165, 'grad_norm': 2.0179948806762695, 'learning_rate': 1.9820143884892085e-05, 'epoch': 8.02} -{'loss': 0.4174, 'grad_norm': 2.7854793071746826, 'learning_rate': 1.9802158273381297e-05, 'epoch': 8.02} -{'loss': 0.424, 'grad_norm': 2.260702610015869, 'learning_rate': 1.9784172661870504e-05, 'epoch': 8.03} - 80%|█████████████████████████████████████████████████████████████████████████▉ | 4480/5570 [1:11:35<14:47, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4358552396297455, 'eval_runtime': 1.5339, 'eval_samples_per_second': 469.399, 'eval_steps_per_second': 3.912, 'epoch': 8.03} -{'loss': 0.4143, 'grad_norm': 3.569888114929199, 'learning_rate': 1.9766187050359712e-05, 'epoch': 8.03} -{'loss': 0.4112, 'grad_norm': 5.437005519866943, 'learning_rate': 1.974820143884892e-05, 'epoch': 8.03} -{'loss': 0.4228, 'grad_norm': 5.834583759307861, 'learning_rate': 1.973021582733813e-05, 'epoch': 8.03} -{'loss': 0.4155, 'grad_norm': 2.4649980068206787, 'learning_rate': 1.9712230215827342e-05, 'epoch': 8.03} -{'loss': 0.4089, 'grad_norm': 3.7756941318511963, 'learning_rate': 1.9694244604316546e-05, 'epoch': 8.03} -{'loss': 0.4149, 'grad_norm': 5.846999168395996, 'learning_rate': 1.9676258992805757e-05, 'epoch': 8.04} -{'loss': 0.4174, 'grad_norm': 5.127553462982178, 'learning_rate': 1.9658273381294965e-05, 'epoch': 8.04} -{'loss': 0.4199, 'grad_norm': 6.359980583190918, 'learning_rate': 1.9640287769784173e-05, 'epoch': 8.04} -{'loss': 0.4219, 'grad_norm': 2.8963985443115234, 'learning_rate': 1.962230215827338e-05, 'epoch': 8.04} -{'loss': 0.4171, 'grad_norm': 4.910536289215088, 'learning_rate': 1.960431654676259e-05, 'epoch': 8.04} - 81%|██████████████████████████████████████████████████████████████████████████▏ | 4490/5570 [1:11:44<14:42, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43644073605537415, 'eval_runtime': 1.5191, 'eval_samples_per_second': 473.953, 'eval_steps_per_second': 3.95, 'epoch': 8.04} -{'loss': 0.4109, 'grad_norm': 4.492048740386963, 'learning_rate': 1.95863309352518e-05, 'epoch': 8.04} -{'loss': 0.4146, 'grad_norm': 3.7389984130859375, 'learning_rate': 1.9568345323741007e-05, 'epoch': 8.05} -{'loss': 0.4169, 'grad_norm': 3.9173965454101562, 'learning_rate': 1.9550359712230218e-05, 'epoch': 8.05} -{'loss': 0.4133, 'grad_norm': 1.8670979738235474, 'learning_rate': 1.9532374100719426e-05, 'epoch': 8.05} -{'loss': 0.409, 'grad_norm': 2.4940664768218994, 'learning_rate': 1.9514388489208633e-05, 'epoch': 8.05} -{'loss': 0.4186, 'grad_norm': 3.94409441947937, 'learning_rate': 1.949640287769784e-05, 'epoch': 8.05} -{'loss': 0.4072, 'grad_norm': 6.236484050750732, 'learning_rate': 1.9478417266187052e-05, 'epoch': 8.06} -{'loss': 0.4144, 'grad_norm': 3.0369207859039307, 'learning_rate': 1.946043165467626e-05, 'epoch': 8.06} -{'loss': 0.406, 'grad_norm': 2.3371212482452393, 'learning_rate': 1.9442446043165468e-05, 'epoch': 8.06} -{'loss': 0.4139, 'grad_norm': 3.0678822994232178, 'learning_rate': 1.942446043165468e-05, 'epoch': 8.06} - 81%|██████████████████████████████████████████████████████████████████████████▎ | 4500/5570 [1:11:54<14:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43704742193222046, 'eval_runtime': 1.5393, 'eval_samples_per_second': 467.751, 'eval_steps_per_second': 3.898, 'epoch': 8.06} -{'loss': 0.4162, 'grad_norm': 3.3696370124816895, 'learning_rate': 1.9406474820143887e-05, 'epoch': 8.06} -{'loss': 0.4015, 'grad_norm': 3.618800401687622, 'learning_rate': 1.9388489208633094e-05, 'epoch': 8.06} -{'loss': 0.413, 'grad_norm': 7.220958232879639, 'learning_rate': 1.9370503597122302e-05, 'epoch': 8.07} -{'loss': 0.419, 'grad_norm': 4.985939025878906, 'learning_rate': 1.9352517985611513e-05, 'epoch': 8.07} -{'loss': 0.4148, 'grad_norm': 2.143852472305298, 'learning_rate': 1.933453237410072e-05, 'epoch': 8.07} -{'loss': 0.4198, 'grad_norm': 2.7508842945098877, 'learning_rate': 1.931654676258993e-05, 'epoch': 8.07} -{'loss': 0.4215, 'grad_norm': 5.780715465545654, 'learning_rate': 1.9298561151079136e-05, 'epoch': 8.07} -{'loss': 0.4065, 'grad_norm': 1.5847996473312378, 'learning_rate': 1.9280575539568347e-05, 'epoch': 8.08} -{'loss': 0.4208, 'grad_norm': 1.6872949600219727, 'learning_rate': 1.9262589928057555e-05, 'epoch': 8.08} -{'loss': 0.4077, 'grad_norm': 4.079636573791504, 'learning_rate': 1.9244604316546763e-05, 'epoch': 8.08} - 81%|██████████████████████████████████████████████████████████████████████████▍ | 4510/5570 [1:12:04<14:19, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43629536032676697, 'eval_runtime': 1.5359, 'eval_samples_per_second': 468.771, 'eval_steps_per_second': 3.906, 'epoch': 8.08} -{'loss': 0.4199, 'grad_norm': 3.029721260070801, 'learning_rate': 1.9226618705035974e-05, 'epoch': 8.08} -{'loss': 0.4187, 'grad_norm': 3.12833571434021, 'learning_rate': 1.920863309352518e-05, 'epoch': 8.08} -{'loss': 0.4182, 'grad_norm': 6.09316873550415, 'learning_rate': 1.919064748201439e-05, 'epoch': 8.08} -{'loss': 0.4045, 'grad_norm': 3.990230083465576, 'learning_rate': 1.9172661870503597e-05, 'epoch': 8.09} -{'loss': 0.4186, 'grad_norm': 2.4554975032806396, 'learning_rate': 1.9154676258992808e-05, 'epoch': 8.09} -{'loss': 0.4141, 'grad_norm': 5.350519180297852, 'learning_rate': 1.9136690647482016e-05, 'epoch': 8.09} -{'loss': 0.4247, 'grad_norm': 5.538525104522705, 'learning_rate': 1.9118705035971223e-05, 'epoch': 8.09} -{'loss': 0.4201, 'grad_norm': 5.091768741607666, 'learning_rate': 1.9100719424460434e-05, 'epoch': 8.09} -{'loss': 0.4065, 'grad_norm': 3.0751519203186035, 'learning_rate': 1.9082733812949642e-05, 'epoch': 8.1} -{'loss': 0.4086, 'grad_norm': 6.254863739013672, 'learning_rate': 1.906474820143885e-05, 'epoch': 8.1} - 81%|██████████████████████████████████████████████████████████████████████████▋ | 4520/5570 [1:12:13<14:23, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4413580298423767, 'eval_runtime': 1.5367, 'eval_samples_per_second': 468.532, 'eval_steps_per_second': 3.904, 'epoch': 8.1} -{'loss': 0.41, 'grad_norm': 3.990257501602173, 'learning_rate': 1.9046762589928058e-05, 'epoch': 8.1} -{'loss': 0.4141, 'grad_norm': 4.728700160980225, 'learning_rate': 1.902877697841727e-05, 'epoch': 8.1} -{'loss': 0.4122, 'grad_norm': 5.572531223297119, 'learning_rate': 1.9010791366906473e-05, 'epoch': 8.1} -{'loss': 0.4236, 'grad_norm': 7.7102437019348145, 'learning_rate': 1.8992805755395684e-05, 'epoch': 8.1} -{'loss': 0.4128, 'grad_norm': 8.382229804992676, 'learning_rate': 1.8974820143884895e-05, 'epoch': 8.11} -{'loss': 0.4188, 'grad_norm': 4.767897605895996, 'learning_rate': 1.8956834532374103e-05, 'epoch': 8.11} -{'loss': 0.4073, 'grad_norm': 3.473745822906494, 'learning_rate': 1.893884892086331e-05, 'epoch': 8.11} -{'loss': 0.4143, 'grad_norm': 8.227067947387695, 'learning_rate': 1.892086330935252e-05, 'epoch': 8.11} -{'loss': 0.4226, 'grad_norm': 9.862915992736816, 'learning_rate': 1.890287769784173e-05, 'epoch': 8.11} -{'loss': 0.4162, 'grad_norm': 4.721650123596191, 'learning_rate': 1.8884892086330934e-05, 'epoch': 8.11} - 81%|██████████████████████████████████████████████████████████████████████████▊ | 4530/5570 [1:12:23<14:07, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4362729489803314, 'eval_runtime': 1.5307, 'eval_samples_per_second': 470.388, 'eval_steps_per_second': 3.92, 'epoch': 8.11} -{'loss': 0.4158, 'grad_norm': 2.309629440307617, 'learning_rate': 1.8866906474820145e-05, 'epoch': 8.12} -{'loss': 0.4235, 'grad_norm': 3.9527974128723145, 'learning_rate': 1.8848920863309353e-05, 'epoch': 8.12} -{'loss': 0.4069, 'grad_norm': 3.282843828201294, 'learning_rate': 1.8830935251798564e-05, 'epoch': 8.12} -{'loss': 0.4215, 'grad_norm': 4.679775714874268, 'learning_rate': 1.881294964028777e-05, 'epoch': 8.12} -{'loss': 0.4091, 'grad_norm': 3.137932538986206, 'learning_rate': 1.879496402877698e-05, 'epoch': 8.12} -{'loss': 0.415, 'grad_norm': 3.0896995067596436, 'learning_rate': 1.877697841726619e-05, 'epoch': 8.13} -{'loss': 0.4243, 'grad_norm': 5.891063690185547, 'learning_rate': 1.8758992805755395e-05, 'epoch': 8.13} -{'loss': 0.4138, 'grad_norm': 4.117579460144043, 'learning_rate': 1.8741007194244606e-05, 'epoch': 8.13} -{'loss': 0.4179, 'grad_norm': 3.9659459590911865, 'learning_rate': 1.8723021582733813e-05, 'epoch': 8.13} -{'loss': 0.409, 'grad_norm': 4.256101608276367, 'learning_rate': 1.8705035971223024e-05, 'epoch': 8.13} - 82%|██████████████████████████████████████████████████████████████████████████▉ | 4540/5570 [1:12:32<13:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43758857250213623, 'eval_runtime': 1.5416, 'eval_samples_per_second': 467.04, 'eval_steps_per_second': 3.892, 'epoch': 8.13} -{'loss': 0.4186, 'grad_norm': 2.976512908935547, 'learning_rate': 1.868705035971223e-05, 'epoch': 8.13} -{'loss': 0.4114, 'grad_norm': 2.9050405025482178, 'learning_rate': 1.866906474820144e-05, 'epoch': 8.14} -{'loss': 0.4108, 'grad_norm': 5.8201494216918945, 'learning_rate': 1.865107913669065e-05, 'epoch': 8.14} -{'loss': 0.4196, 'grad_norm': 4.710806846618652, 'learning_rate': 1.8633093525179855e-05, 'epoch': 8.14} -{'loss': 0.4135, 'grad_norm': 3.2597591876983643, 'learning_rate': 1.8615107913669066e-05, 'epoch': 8.14} -{'loss': 0.3983, 'grad_norm': 1.8023107051849365, 'learning_rate': 1.8597122302158274e-05, 'epoch': 8.14} -{'loss': 0.4075, 'grad_norm': 1.2489821910858154, 'learning_rate': 1.8579136690647482e-05, 'epoch': 8.15} -{'loss': 0.4176, 'grad_norm': 3.2374706268310547, 'learning_rate': 1.856115107913669e-05, 'epoch': 8.15} -{'loss': 0.4159, 'grad_norm': 2.225998878479004, 'learning_rate': 1.85431654676259e-05, 'epoch': 8.15} -{'loss': 0.4218, 'grad_norm': 1.8543198108673096, 'learning_rate': 1.8525179856115108e-05, 'epoch': 8.15} - 82%|███████████████████████████████████████████████████████████████████████████▏ | 4550/5570 [1:12:42<13:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4366839826107025, 'eval_runtime': 1.5318, 'eval_samples_per_second': 470.044, 'eval_steps_per_second': 3.917, 'epoch': 8.15} -{'loss': 0.4108, 'grad_norm': 4.7708306312561035, 'learning_rate': 1.8507194244604316e-05, 'epoch': 8.15} -{'loss': 0.4182, 'grad_norm': 5.979152202606201, 'learning_rate': 1.8489208633093527e-05, 'epoch': 8.15} -{'loss': 0.4077, 'grad_norm': 2.8101885318756104, 'learning_rate': 1.8471223021582735e-05, 'epoch': 8.16} -{'loss': 0.419, 'grad_norm': 3.5723717212677, 'learning_rate': 1.8453237410071942e-05, 'epoch': 8.16} -{'loss': 0.4232, 'grad_norm': 2.9997925758361816, 'learning_rate': 1.843525179856115e-05, 'epoch': 8.16} -{'loss': 0.413, 'grad_norm': 7.408960342407227, 'learning_rate': 1.841726618705036e-05, 'epoch': 8.16} -{'loss': 0.4203, 'grad_norm': 8.394227981567383, 'learning_rate': 1.839928057553957e-05, 'epoch': 8.16} -{'loss': 0.4184, 'grad_norm': 4.665674686431885, 'learning_rate': 1.8381294964028777e-05, 'epoch': 8.17} -{'loss': 0.4126, 'grad_norm': 2.1404855251312256, 'learning_rate': 1.8363309352517988e-05, 'epoch': 8.17} -{'loss': 0.4128, 'grad_norm': 2.4356555938720703, 'learning_rate': 1.8345323741007196e-05, 'epoch': 8.17} - 82%|███████████████████████████████████████████████████████████████████████████▎ | 4560/5570 [1:12:52<13:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4378768801689148, 'eval_runtime': 1.5324, 'eval_samples_per_second': 469.849, 'eval_steps_per_second': 3.915, 'epoch': 8.17} -{'loss': 0.4205, 'grad_norm': 2.8145086765289307, 'learning_rate': 1.8327338129496403e-05, 'epoch': 8.17} -{'loss': 0.4184, 'grad_norm': 4.534584999084473, 'learning_rate': 1.830935251798561e-05, 'epoch': 8.17} -{'loss': 0.4229, 'grad_norm': 4.751368999481201, 'learning_rate': 1.8291366906474822e-05, 'epoch': 8.17} -{'loss': 0.4263, 'grad_norm': 2.3365440368652344, 'learning_rate': 1.827338129496403e-05, 'epoch': 8.18} -{'loss': 0.4139, 'grad_norm': 1.7441133260726929, 'learning_rate': 1.8255395683453237e-05, 'epoch': 8.18} -{'loss': 0.4118, 'grad_norm': 3.5394749641418457, 'learning_rate': 1.8237410071942445e-05, 'epoch': 8.18} -{'loss': 0.4144, 'grad_norm': 3.744128704071045, 'learning_rate': 1.8219424460431656e-05, 'epoch': 8.18} -{'loss': 0.4061, 'grad_norm': 4.10872745513916, 'learning_rate': 1.8201438848920864e-05, 'epoch': 8.18} -{'loss': 0.4187, 'grad_norm': 6.194811820983887, 'learning_rate': 1.818345323741007e-05, 'epoch': 8.18} -{'loss': 0.4231, 'grad_norm': 6.879809379577637, 'learning_rate': 1.8165467625899283e-05, 'epoch': 8.19} - 82%|███████████████████████████████████████████████████████████████████████████▍ | 4570/5570 [1:13:01<13:31, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.442724347114563, 'eval_runtime': 1.5443, 'eval_samples_per_second': 466.24, 'eval_steps_per_second': 3.885, 'epoch': 8.19} -{'loss': 0.4235, 'grad_norm': 3.5405924320220947, 'learning_rate': 1.814748201438849e-05, 'epoch': 8.19} -{'loss': 0.4226, 'grad_norm': 3.2651450634002686, 'learning_rate': 1.8129496402877698e-05, 'epoch': 8.19} -{'loss': 0.4212, 'grad_norm': 4.6480207443237305, 'learning_rate': 1.8111510791366906e-05, 'epoch': 8.19} -{'loss': 0.4144, 'grad_norm': 4.65806245803833, 'learning_rate': 1.8093525179856117e-05, 'epoch': 8.19} -{'loss': 0.4148, 'grad_norm': 5.593256950378418, 'learning_rate': 1.8075539568345325e-05, 'epoch': 8.2} -{'loss': 0.4222, 'grad_norm': 7.055318832397461, 'learning_rate': 1.8057553956834532e-05, 'epoch': 8.2} -{'loss': 0.411, 'grad_norm': 4.3827409744262695, 'learning_rate': 1.8039568345323743e-05, 'epoch': 8.2} -{'loss': 0.4122, 'grad_norm': 3.547571897506714, 'learning_rate': 1.802158273381295e-05, 'epoch': 8.2} -{'loss': 0.4153, 'grad_norm': 2.895085334777832, 'learning_rate': 1.800359712230216e-05, 'epoch': 8.2} -{'loss': 0.415, 'grad_norm': 4.684039115905762, 'learning_rate': 1.7985611510791367e-05, 'epoch': 8.2} - 82%|███████████████████████████████████████████████████████████████████████████▋ | 4580/5570 [1:13:11<13:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43898773193359375, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.356, 'eval_steps_per_second': 3.903, 'epoch': 8.2} -{'loss': 0.4226, 'grad_norm': 5.4442949295043945, 'learning_rate': 1.7967625899280578e-05, 'epoch': 8.21} -{'loss': 0.4131, 'grad_norm': 6.179628849029541, 'learning_rate': 1.7949640287769785e-05, 'epoch': 8.21} -{'loss': 0.4114, 'grad_norm': 4.046131134033203, 'learning_rate': 1.7931654676258993e-05, 'epoch': 8.21} -{'loss': 0.4151, 'grad_norm': 7.142906188964844, 'learning_rate': 1.7913669064748204e-05, 'epoch': 8.21} -{'loss': 0.4138, 'grad_norm': 4.936917304992676, 'learning_rate': 1.7895683453237412e-05, 'epoch': 8.21} -{'loss': 0.4227, 'grad_norm': 3.5676796436309814, 'learning_rate': 1.787769784172662e-05, 'epoch': 8.22} -{'loss': 0.4219, 'grad_norm': 2.9595718383789062, 'learning_rate': 1.7859712230215827e-05, 'epoch': 8.22} -{'loss': 0.4106, 'grad_norm': 3.1626007556915283, 'learning_rate': 1.784172661870504e-05, 'epoch': 8.22} -{'loss': 0.4119, 'grad_norm': 3.4473588466644287, 'learning_rate': 1.7823741007194246e-05, 'epoch': 8.22} -{'loss': 0.4154, 'grad_norm': 4.774853229522705, 'learning_rate': 1.7805755395683454e-05, 'epoch': 8.22} - 82%|███████████████████████████████████████████████████████████████████████████▊ | 4590/5570 [1:13:20<13:28, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4371291399002075, 'eval_runtime': 1.5345, 'eval_samples_per_second': 469.206, 'eval_steps_per_second': 3.91, 'epoch': 8.22} -{'loss': 0.4244, 'grad_norm': 2.7649106979370117, 'learning_rate': 1.778776978417266e-05, 'epoch': 8.22} -{'loss': 0.4091, 'grad_norm': 2.326551914215088, 'learning_rate': 1.7769784172661873e-05, 'epoch': 8.23} -{'loss': 0.4168, 'grad_norm': 3.122497081756592, 'learning_rate': 1.775179856115108e-05, 'epoch': 8.23} -{'loss': 0.4231, 'grad_norm': 5.845276832580566, 'learning_rate': 1.7733812949640288e-05, 'epoch': 8.23} -{'loss': 0.4234, 'grad_norm': 3.1338717937469482, 'learning_rate': 1.77158273381295e-05, 'epoch': 8.23} -{'loss': 0.4162, 'grad_norm': 5.398828983306885, 'learning_rate': 1.7697841726618707e-05, 'epoch': 8.23} -{'loss': 0.4222, 'grad_norm': 5.631072044372559, 'learning_rate': 1.7679856115107915e-05, 'epoch': 8.24} -{'loss': 0.4174, 'grad_norm': 3.604809045791626, 'learning_rate': 1.7661870503597122e-05, 'epoch': 8.24} -{'loss': 0.4124, 'grad_norm': 2.825843572616577, 'learning_rate': 1.7643884892086333e-05, 'epoch': 8.24} -{'loss': 0.4205, 'grad_norm': 6.287413120269775, 'learning_rate': 1.7625899280575538e-05, 'epoch': 8.24} - 83%|███████████████████████████████████████████████████████████████████████████▉ | 4600/5570 [1:13:30<13:18, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44151654839515686, 'eval_runtime': 1.5786, 'eval_samples_per_second': 456.101, 'eval_steps_per_second': 3.801, 'epoch': 8.24} -{'loss': 0.4282, 'grad_norm': 5.842599391937256, 'learning_rate': 1.760791366906475e-05, 'epoch': 8.24} -{'loss': 0.4108, 'grad_norm': 8.783407211303711, 'learning_rate': 1.758992805755396e-05, 'epoch': 8.24} -{'loss': 0.4302, 'grad_norm': 6.6595587730407715, 'learning_rate': 1.7571942446043164e-05, 'epoch': 8.25} -{'loss': 0.4114, 'grad_norm': 2.342562675476074, 'learning_rate': 1.7553956834532375e-05, 'epoch': 8.25} -{'loss': 0.4221, 'grad_norm': 5.604828357696533, 'learning_rate': 1.7535971223021583e-05, 'epoch': 8.25} -{'loss': 0.4273, 'grad_norm': 6.450761318206787, 'learning_rate': 1.7517985611510794e-05, 'epoch': 8.25} -{'loss': 0.4234, 'grad_norm': 4.634611129760742, 'learning_rate': 1.75e-05, 'epoch': 8.25} -{'loss': 0.423, 'grad_norm': 4.263917922973633, 'learning_rate': 1.748201438848921e-05, 'epoch': 8.25} -{'loss': 0.4154, 'grad_norm': 3.5961356163024902, 'learning_rate': 1.746402877697842e-05, 'epoch': 8.26} -{'loss': 0.4142, 'grad_norm': 4.4511308670043945, 'learning_rate': 1.7446043165467625e-05, 'epoch': 8.26} - 83%|████████████████████████████████████████████████████████████████████████████▏ | 4610/5570 [1:13:40<13:11, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4381355345249176, 'eval_runtime': 1.5733, 'eval_samples_per_second': 457.636, 'eval_steps_per_second': 3.814, 'epoch': 8.26} -{'loss': 0.4116, 'grad_norm': 2.8367817401885986, 'learning_rate': 1.7428057553956836e-05, 'epoch': 8.26} -{'loss': 0.4252, 'grad_norm': 3.107067584991455, 'learning_rate': 1.7410071942446044e-05, 'epoch': 8.26} -{'loss': 0.4148, 'grad_norm': 3.1283466815948486, 'learning_rate': 1.7392086330935255e-05, 'epoch': 8.26} -{'loss': 0.4271, 'grad_norm': 3.9558374881744385, 'learning_rate': 1.737410071942446e-05, 'epoch': 8.27} -{'loss': 0.4238, 'grad_norm': 5.860020637512207, 'learning_rate': 1.735611510791367e-05, 'epoch': 8.27} -{'loss': 0.4264, 'grad_norm': 6.144223690032959, 'learning_rate': 1.7338129496402878e-05, 'epoch': 8.27} -{'loss': 0.4203, 'grad_norm': 5.164717197418213, 'learning_rate': 1.7320143884892086e-05, 'epoch': 8.27} -{'loss': 0.4205, 'grad_norm': 7.435508728027344, 'learning_rate': 1.7302158273381297e-05, 'epoch': 8.27} -{'loss': 0.4065, 'grad_norm': 7.910693168640137, 'learning_rate': 1.7284172661870505e-05, 'epoch': 8.27} -{'loss': 0.4166, 'grad_norm': 2.301215410232544, 'learning_rate': 1.7266187050359716e-05, 'epoch': 8.28} - 83%|████████████████████████████████████████████████████████████████████████████▎ | 4620/5570 [1:13:49<13:03, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4367900788784027, 'eval_runtime': 1.5979, 'eval_samples_per_second': 450.59, 'eval_steps_per_second': 3.755, 'epoch': 8.28} -{'loss': 0.4112, 'grad_norm': 2.9325172901153564, 'learning_rate': 1.724820143884892e-05, 'epoch': 8.28} -{'loss': 0.419, 'grad_norm': 4.807522296905518, 'learning_rate': 1.723021582733813e-05, 'epoch': 8.28} -{'loss': 0.4208, 'grad_norm': 5.245495319366455, 'learning_rate': 1.721223021582734e-05, 'epoch': 8.28} -{'loss': 0.4106, 'grad_norm': 3.1514570713043213, 'learning_rate': 1.7194244604316546e-05, 'epoch': 8.28} -{'loss': 0.4159, 'grad_norm': 2.7818336486816406, 'learning_rate': 1.7176258992805754e-05, 'epoch': 8.29} -{'loss': 0.4166, 'grad_norm': 3.4790871143341064, 'learning_rate': 1.7158273381294965e-05, 'epoch': 8.29} -{'loss': 0.403, 'grad_norm': 4.936329364776611, 'learning_rate': 1.7140287769784173e-05, 'epoch': 8.29} -{'loss': 0.4269, 'grad_norm': 2.3677852153778076, 'learning_rate': 1.712230215827338e-05, 'epoch': 8.29} -{'loss': 0.3915, 'grad_norm': 2.6666862964630127, 'learning_rate': 1.7104316546762592e-05, 'epoch': 8.29} -{'loss': 0.412, 'grad_norm': 2.7842836380004883, 'learning_rate': 1.70863309352518e-05, 'epoch': 8.29} - 83%|████████████████████████████████████████████████████████████████████████████▍ | 4630/5570 [1:13:59<12:54, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4368347227573395, 'eval_runtime': 1.5734, 'eval_samples_per_second': 457.606, 'eval_steps_per_second': 3.813, 'epoch': 8.29} -{'loss': 0.4174, 'grad_norm': 2.6564228534698486, 'learning_rate': 1.7068345323741007e-05, 'epoch': 8.3} -{'loss': 0.4159, 'grad_norm': 4.036944389343262, 'learning_rate': 1.7050359712230215e-05, 'epoch': 8.3} -{'loss': 0.4073, 'grad_norm': 5.944692611694336, 'learning_rate': 1.7032374100719426e-05, 'epoch': 8.3} -{'loss': 0.4206, 'grad_norm': 3.2049553394317627, 'learning_rate': 1.7014388489208634e-05, 'epoch': 8.3} -{'loss': 0.4233, 'grad_norm': 5.955498218536377, 'learning_rate': 1.699640287769784e-05, 'epoch': 8.3} -{'loss': 0.4182, 'grad_norm': 5.560153484344482, 'learning_rate': 1.6978417266187053e-05, 'epoch': 8.31} -{'loss': 0.4222, 'grad_norm': 6.56577205657959, 'learning_rate': 1.696043165467626e-05, 'epoch': 8.31} -{'loss': 0.4155, 'grad_norm': 3.800520658493042, 'learning_rate': 1.6942446043165468e-05, 'epoch': 8.31} -{'loss': 0.4127, 'grad_norm': 3.151287794113159, 'learning_rate': 1.6924460431654676e-05, 'epoch': 8.31} -{'loss': 0.415, 'grad_norm': 2.869319200515747, 'learning_rate': 1.6906474820143887e-05, 'epoch': 8.31} - 83%|████████████████████████████████████████████████████████████████████████████▋ | 4640/5570 [1:14:09<12:51, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4380541443824768, 'eval_runtime': 1.5694, 'eval_samples_per_second': 458.781, 'eval_steps_per_second': 3.823, 'epoch': 8.31} -{'loss': 0.4226, 'grad_norm': 3.5738844871520996, 'learning_rate': 1.6888489208633094e-05, 'epoch': 8.31} -{'loss': 0.4161, 'grad_norm': 3.9568097591400146, 'learning_rate': 1.6870503597122302e-05, 'epoch': 8.32} -{'loss': 0.4134, 'grad_norm': 4.403802394866943, 'learning_rate': 1.6852517985611513e-05, 'epoch': 8.32} -{'loss': 0.4177, 'grad_norm': 3.279568672180176, 'learning_rate': 1.683453237410072e-05, 'epoch': 8.32} -{'loss': 0.4111, 'grad_norm': 1.1288031339645386, 'learning_rate': 1.681654676258993e-05, 'epoch': 8.32} -{'loss': 0.4277, 'grad_norm': 4.168487548828125, 'learning_rate': 1.6798561151079136e-05, 'epoch': 8.32} -{'loss': 0.4134, 'grad_norm': 3.2713029384613037, 'learning_rate': 1.6780575539568347e-05, 'epoch': 8.32} -{'loss': 0.4163, 'grad_norm': 2.570908308029175, 'learning_rate': 1.6762589928057555e-05, 'epoch': 8.33} -{'loss': 0.4164, 'grad_norm': 2.689321756362915, 'learning_rate': 1.6744604316546763e-05, 'epoch': 8.33} -{'loss': 0.4178, 'grad_norm': 3.5423896312713623, 'learning_rate': 1.672661870503597e-05, 'epoch': 8.33} - 83%|████████████████████████████████████████████████████████████████████████████▊ | 4650/5570 [1:14:19<12:41, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43635907769203186, 'eval_runtime': 1.5639, 'eval_samples_per_second': 460.402, 'eval_steps_per_second': 3.837, 'epoch': 8.33} -{'loss': 0.4181, 'grad_norm': 2.9960756301879883, 'learning_rate': 1.670863309352518e-05, 'epoch': 8.33} -{'loss': 0.4278, 'grad_norm': 3.3926680088043213, 'learning_rate': 1.669064748201439e-05, 'epoch': 8.33} -{'loss': 0.4187, 'grad_norm': 5.798957824707031, 'learning_rate': 1.6672661870503597e-05, 'epoch': 8.34} -{'loss': 0.4194, 'grad_norm': 4.822886943817139, 'learning_rate': 1.6654676258992808e-05, 'epoch': 8.34} -{'loss': 0.4059, 'grad_norm': 1.149598479270935, 'learning_rate': 1.6636690647482016e-05, 'epoch': 8.34} -{'loss': 0.4243, 'grad_norm': 4.951870918273926, 'learning_rate': 1.6618705035971224e-05, 'epoch': 8.34} -{'loss': 0.4212, 'grad_norm': 2.7323484420776367, 'learning_rate': 1.660071942446043e-05, 'epoch': 8.34} -{'loss': 0.4166, 'grad_norm': 3.9455227851867676, 'learning_rate': 1.6582733812949642e-05, 'epoch': 8.34} -{'loss': 0.4151, 'grad_norm': 6.212497234344482, 'learning_rate': 1.656474820143885e-05, 'epoch': 8.35} -{'loss': 0.4241, 'grad_norm': 3.0273375511169434, 'learning_rate': 1.6546762589928058e-05, 'epoch': 8.35} - 84%|████████████████████████████████████████████████████████████████████████████▉ | 4660/5570 [1:14:28<12:31, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43803152441978455, 'eval_runtime': 1.5698, 'eval_samples_per_second': 458.665, 'eval_steps_per_second': 3.822, 'epoch': 8.35} -{'loss': 0.4148, 'grad_norm': 1.724003553390503, 'learning_rate': 1.652877697841727e-05, 'epoch': 8.35} -{'loss': 0.4322, 'grad_norm': 4.622692584991455, 'learning_rate': 1.6510791366906477e-05, 'epoch': 8.35} -{'loss': 0.4305, 'grad_norm': 4.713770389556885, 'learning_rate': 1.6492805755395684e-05, 'epoch': 8.35} -{'loss': 0.399, 'grad_norm': 6.277918815612793, 'learning_rate': 1.6474820143884892e-05, 'epoch': 8.36} -{'loss': 0.4127, 'grad_norm': 5.930971145629883, 'learning_rate': 1.6456834532374103e-05, 'epoch': 8.36} -{'loss': 0.4145, 'grad_norm': 3.4354519844055176, 'learning_rate': 1.6438848920863307e-05, 'epoch': 8.36} -{'loss': 0.4193, 'grad_norm': 2.5948989391326904, 'learning_rate': 1.642086330935252e-05, 'epoch': 8.36} -{'loss': 0.4284, 'grad_norm': 5.745002746582031, 'learning_rate': 1.640287769784173e-05, 'epoch': 8.36} -{'loss': 0.4203, 'grad_norm': 5.5572590827941895, 'learning_rate': 1.6384892086330937e-05, 'epoch': 8.36} -{'loss': 0.4132, 'grad_norm': 5.3604302406311035, 'learning_rate': 1.6366906474820145e-05, 'epoch': 8.37} - 84%|█████████████████████████████████████████████████████████████████████████████▏ | 4670/5570 [1:14:38<12:27, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43710488080978394, 'eval_runtime': 1.5579, 'eval_samples_per_second': 462.165, 'eval_steps_per_second': 3.851, 'epoch': 8.37} -{'loss': 0.411, 'grad_norm': 2.308673143386841, 'learning_rate': 1.6348920863309353e-05, 'epoch': 8.37} -{'loss': 0.4209, 'grad_norm': 3.955533742904663, 'learning_rate': 1.6330935251798564e-05, 'epoch': 8.37} -{'loss': 0.4121, 'grad_norm': 10.16018295288086, 'learning_rate': 1.6312949640287768e-05, 'epoch': 8.37} -{'loss': 0.4148, 'grad_norm': 7.835045337677002, 'learning_rate': 1.629496402877698e-05, 'epoch': 8.37} -{'loss': 0.4076, 'grad_norm': 4.295736789703369, 'learning_rate': 1.6276978417266187e-05, 'epoch': 8.38} -{'loss': 0.4143, 'grad_norm': 2.0439271926879883, 'learning_rate': 1.6258992805755395e-05, 'epoch': 8.38} -{'loss': 0.414, 'grad_norm': 9.8820161819458, 'learning_rate': 1.6241007194244606e-05, 'epoch': 8.38} -{'loss': 0.423, 'grad_norm': 8.966306686401367, 'learning_rate': 1.6223021582733814e-05, 'epoch': 8.38} -{'loss': 0.433, 'grad_norm': 8.270727157592773, 'learning_rate': 1.6205035971223025e-05, 'epoch': 8.38} -{'loss': 0.4193, 'grad_norm': 3.2848281860351562, 'learning_rate': 1.618705035971223e-05, 'epoch': 8.38} - 84%|█████████████████████████████████████████████████████████████████████████████▎ | 4680/5570 [1:14:48<12:16, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43598052859306335, 'eval_runtime': 1.5528, 'eval_samples_per_second': 463.693, 'eval_steps_per_second': 3.864, 'epoch': 8.38} -{'loss': 0.4193, 'grad_norm': 2.586585283279419, 'learning_rate': 1.616906474820144e-05, 'epoch': 8.39} -{'loss': 0.4242, 'grad_norm': 2.6166958808898926, 'learning_rate': 1.6151079136690648e-05, 'epoch': 8.39} -{'loss': 0.4223, 'grad_norm': 5.736339569091797, 'learning_rate': 1.6133093525179855e-05, 'epoch': 8.39} -{'loss': 0.4151, 'grad_norm': 4.337375640869141, 'learning_rate': 1.6115107913669063e-05, 'epoch': 8.39} -{'loss': 0.4202, 'grad_norm': 4.694299697875977, 'learning_rate': 1.6097122302158274e-05, 'epoch': 8.39} -{'loss': 0.4108, 'grad_norm': 2.6742544174194336, 'learning_rate': 1.6079136690647485e-05, 'epoch': 8.39} -{'loss': 0.4235, 'grad_norm': 3.4747869968414307, 'learning_rate': 1.606115107913669e-05, 'epoch': 8.4} -{'loss': 0.4055, 'grad_norm': 2.9572932720184326, 'learning_rate': 1.60431654676259e-05, 'epoch': 8.4} -{'loss': 0.4084, 'grad_norm': 3.4974615573883057, 'learning_rate': 1.602517985611511e-05, 'epoch': 8.4} -{'loss': 0.4104, 'grad_norm': 5.029755592346191, 'learning_rate': 1.6007194244604316e-05, 'epoch': 8.4} - 84%|█████████████████████████████████████████████████████████████████████████████▍ | 4690/5570 [1:14:57<11:59, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.436080664396286, 'eval_runtime': 1.5709, 'eval_samples_per_second': 458.327, 'eval_steps_per_second': 3.819, 'epoch': 8.4} -{'loss': 0.4159, 'grad_norm': 5.938874244689941, 'learning_rate': 1.5989208633093524e-05, 'epoch': 8.4} -{'loss': 0.425, 'grad_norm': 7.613358497619629, 'learning_rate': 1.5971223021582735e-05, 'epoch': 8.41} -{'loss': 0.419, 'grad_norm': 4.391430377960205, 'learning_rate': 1.5953237410071946e-05, 'epoch': 8.41} -{'loss': 0.4044, 'grad_norm': 2.7977020740509033, 'learning_rate': 1.593525179856115e-05, 'epoch': 8.41} -{'loss': 0.4246, 'grad_norm': 4.361099720001221, 'learning_rate': 1.591726618705036e-05, 'epoch': 8.41} -{'loss': 0.4197, 'grad_norm': 6.3522257804870605, 'learning_rate': 1.589928057553957e-05, 'epoch': 8.41} -{'loss': 0.4232, 'grad_norm': 6.3018903732299805, 'learning_rate': 1.5881294964028777e-05, 'epoch': 8.41} -{'loss': 0.4187, 'grad_norm': 3.375187397003174, 'learning_rate': 1.5863309352517985e-05, 'epoch': 8.42} -{'loss': 0.4251, 'grad_norm': 4.229065895080566, 'learning_rate': 1.5845323741007196e-05, 'epoch': 8.42} -{'loss': 0.4181, 'grad_norm': 6.045836925506592, 'learning_rate': 1.5827338129496403e-05, 'epoch': 8.42} - 84%|█████████████████████████████████████████████████████████████████████████████▋ | 4700/5570 [1:15:07<11:42, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.436022013425827, 'eval_runtime': 1.55, 'eval_samples_per_second': 464.527, 'eval_steps_per_second': 3.871, 'epoch': 8.42} -{'loss': 0.4017, 'grad_norm': 5.449642181396484, 'learning_rate': 1.580935251798561e-05, 'epoch': 8.42} -{'loss': 0.4041, 'grad_norm': 2.550637722015381, 'learning_rate': 1.5791366906474822e-05, 'epoch': 8.42} -{'loss': 0.4173, 'grad_norm': 2.528704881668091, 'learning_rate': 1.577338129496403e-05, 'epoch': 8.43} -{'loss': 0.4206, 'grad_norm': 1.9740105867385864, 'learning_rate': 1.5755395683453238e-05, 'epoch': 8.43} -{'loss': 0.4213, 'grad_norm': 4.999107360839844, 'learning_rate': 1.5737410071942445e-05, 'epoch': 8.43} -{'loss': 0.4222, 'grad_norm': 4.031623363494873, 'learning_rate': 1.5719424460431656e-05, 'epoch': 8.43} -{'loss': 0.4224, 'grad_norm': 4.457647323608398, 'learning_rate': 1.5701438848920864e-05, 'epoch': 8.43} -{'loss': 0.4176, 'grad_norm': 1.200543999671936, 'learning_rate': 1.5683453237410072e-05, 'epoch': 8.43} -{'loss': 0.4063, 'grad_norm': 3.0007176399230957, 'learning_rate': 1.566546762589928e-05, 'epoch': 8.44} -{'loss': 0.4166, 'grad_norm': 3.8517701625823975, 'learning_rate': 1.564748201438849e-05, 'epoch': 8.44} - 85%|█████████████████████████████████████████████████████████████████████████████▊ | 4710/5570 [1:15:16<11:42, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4367249310016632, 'eval_runtime': 1.5376, 'eval_samples_per_second': 468.276, 'eval_steps_per_second': 3.902, 'epoch': 8.44} -{'loss': 0.4169, 'grad_norm': 3.7806646823883057, 'learning_rate': 1.56294964028777e-05, 'epoch': 8.44} -{'loss': 0.4135, 'grad_norm': 6.95265007019043, 'learning_rate': 1.5611510791366906e-05, 'epoch': 8.44} -{'loss': 0.4336, 'grad_norm': 5.376133441925049, 'learning_rate': 1.5593525179856117e-05, 'epoch': 8.44} -{'loss': 0.4161, 'grad_norm': 2.863429546356201, 'learning_rate': 1.5575539568345325e-05, 'epoch': 8.45} -{'loss': 0.407, 'grad_norm': 3.9088199138641357, 'learning_rate': 1.5557553956834533e-05, 'epoch': 8.45} -{'loss': 0.4183, 'grad_norm': 4.579123497009277, 'learning_rate': 1.553956834532374e-05, 'epoch': 8.45} -{'loss': 0.4139, 'grad_norm': 5.215019226074219, 'learning_rate': 1.552158273381295e-05, 'epoch': 8.45} -{'loss': 0.403, 'grad_norm': 4.876670837402344, 'learning_rate': 1.550359712230216e-05, 'epoch': 8.45} -{'loss': 0.425, 'grad_norm': 2.3112261295318604, 'learning_rate': 1.5485611510791367e-05, 'epoch': 8.45} -{'loss': 0.4186, 'grad_norm': 1.5904920101165771, 'learning_rate': 1.5467625899280578e-05, 'epoch': 8.46} - 85%|█████████████████████████████████████████████████████████████████████████████▉ | 4720/5570 [1:15:26<11:36, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4372389018535614, 'eval_runtime': 1.5386, 'eval_samples_per_second': 467.957, 'eval_steps_per_second': 3.9, 'epoch': 8.46} -{'loss': 0.4087, 'grad_norm': 5.275252342224121, 'learning_rate': 1.5449640287769786e-05, 'epoch': 8.46} -{'loss': 0.4093, 'grad_norm': 4.338531970977783, 'learning_rate': 1.5431654676258993e-05, 'epoch': 8.46} -{'loss': 0.4195, 'grad_norm': 2.2526466846466064, 'learning_rate': 1.54136690647482e-05, 'epoch': 8.46} -{'loss': 0.4214, 'grad_norm': 3.104933738708496, 'learning_rate': 1.5395683453237412e-05, 'epoch': 8.46} -{'loss': 0.4222, 'grad_norm': 4.17543363571167, 'learning_rate': 1.537769784172662e-05, 'epoch': 8.46} -{'loss': 0.4216, 'grad_norm': 1.6787183284759521, 'learning_rate': 1.5359712230215828e-05, 'epoch': 8.47} -{'loss': 0.4105, 'grad_norm': 1.6052114963531494, 'learning_rate': 1.534172661870504e-05, 'epoch': 8.47} -{'loss': 0.4044, 'grad_norm': 2.137747287750244, 'learning_rate': 1.5323741007194246e-05, 'epoch': 8.47} -{'loss': 0.4093, 'grad_norm': 2.667476177215576, 'learning_rate': 1.5305755395683454e-05, 'epoch': 8.47} -{'loss': 0.4086, 'grad_norm': 4.9315290451049805, 'learning_rate': 1.5287769784172662e-05, 'epoch': 8.47} - 85%|██████████████████████████████████████████████████████████████████████████████▏ | 4730/5570 [1:15:36<11:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43731689453125, 'eval_runtime': 1.5491, 'eval_samples_per_second': 464.774, 'eval_steps_per_second': 3.873, 'epoch': 8.47} -{'loss': 0.4144, 'grad_norm': 2.2023136615753174, 'learning_rate': 1.5269784172661873e-05, 'epoch': 8.48} -{'loss': 0.418, 'grad_norm': 2.494042158126831, 'learning_rate': 1.5251798561151079e-05, 'epoch': 8.48} -{'loss': 0.4188, 'grad_norm': 2.741018772125244, 'learning_rate': 1.5233812949640288e-05, 'epoch': 8.48} -{'loss': 0.4101, 'grad_norm': 4.455631256103516, 'learning_rate': 1.5215827338129496e-05, 'epoch': 8.48} -{'loss': 0.4169, 'grad_norm': 2.869452953338623, 'learning_rate': 1.5197841726618705e-05, 'epoch': 8.48} -{'loss': 0.4236, 'grad_norm': 3.845360040664673, 'learning_rate': 1.5179856115107915e-05, 'epoch': 8.48} -{'loss': 0.4107, 'grad_norm': 3.073474168777466, 'learning_rate': 1.5161870503597123e-05, 'epoch': 8.49} -{'loss': 0.4196, 'grad_norm': 2.269322395324707, 'learning_rate': 1.5143884892086332e-05, 'epoch': 8.49} -{'loss': 0.425, 'grad_norm': 6.875734329223633, 'learning_rate': 1.512589928057554e-05, 'epoch': 8.49} -{'loss': 0.4176, 'grad_norm': 5.117025852203369, 'learning_rate': 1.5107913669064749e-05, 'epoch': 8.49} - 85%|██████████████████████████████████████████████████████████████████████████████▎ | 4740/5570 [1:15:45<11:18, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4412935972213745, 'eval_runtime': 1.5327, 'eval_samples_per_second': 469.772, 'eval_steps_per_second': 3.915, 'epoch': 8.49} -{'loss': 0.4159, 'grad_norm': 4.160234451293945, 'learning_rate': 1.5089928057553957e-05, 'epoch': 8.49} -{'loss': 0.4163, 'grad_norm': 3.797776937484741, 'learning_rate': 1.5071942446043166e-05, 'epoch': 8.5} -{'loss': 0.4183, 'grad_norm': 7.364776611328125, 'learning_rate': 1.5053956834532376e-05, 'epoch': 8.5} -{'loss': 0.4166, 'grad_norm': 5.259528636932373, 'learning_rate': 1.5035971223021583e-05, 'epoch': 8.5} -{'loss': 0.4181, 'grad_norm': 6.774109840393066, 'learning_rate': 1.5017985611510793e-05, 'epoch': 8.5} -{'loss': 0.4141, 'grad_norm': 4.193948745727539, 'learning_rate': 1.5e-05, 'epoch': 8.5} -{'loss': 0.4223, 'grad_norm': 5.05531120300293, 'learning_rate': 1.498201438848921e-05, 'epoch': 8.5} -{'loss': 0.42, 'grad_norm': 7.282412052154541, 'learning_rate': 1.4964028776978417e-05, 'epoch': 8.51} -{'loss': 0.418, 'grad_norm': 5.973974227905273, 'learning_rate': 1.4946043165467627e-05, 'epoch': 8.51} -{'loss': 0.4176, 'grad_norm': 5.349040508270264, 'learning_rate': 1.4928057553956835e-05, 'epoch': 8.51} - 85%|██████████████████████████████████████████████████████████████████████████████▍ | 4750/5570 [1:15:55<11:16, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43639516830444336, 'eval_runtime': 1.5452, 'eval_samples_per_second': 465.961, 'eval_steps_per_second': 3.883, 'epoch': 8.51} -{'loss': 0.4047, 'grad_norm': 2.7381575107574463, 'learning_rate': 1.4910071942446044e-05, 'epoch': 8.51} -{'loss': 0.4105, 'grad_norm': 2.5625710487365723, 'learning_rate': 1.4892086330935253e-05, 'epoch': 8.51} -{'loss': 0.4186, 'grad_norm': 8.870695114135742, 'learning_rate': 1.4874100719424461e-05, 'epoch': 8.52} -{'loss': 0.4282, 'grad_norm': 5.967947959899902, 'learning_rate': 1.485611510791367e-05, 'epoch': 8.52} -{'loss': 0.4172, 'grad_norm': 4.551321029663086, 'learning_rate': 1.4838129496402878e-05, 'epoch': 8.52} -{'loss': 0.4227, 'grad_norm': 2.9753289222717285, 'learning_rate': 1.4820143884892088e-05, 'epoch': 8.52} -{'loss': 0.4126, 'grad_norm': 4.516280651092529, 'learning_rate': 1.4802158273381295e-05, 'epoch': 8.52} -{'loss': 0.4283, 'grad_norm': 5.507408142089844, 'learning_rate': 1.4784172661870505e-05, 'epoch': 8.52} -{'loss': 0.4165, 'grad_norm': 7.125518798828125, 'learning_rate': 1.4766187050359712e-05, 'epoch': 8.53} -{'loss': 0.4329, 'grad_norm': 5.925123691558838, 'learning_rate': 1.4748201438848922e-05, 'epoch': 8.53} - 85%|██████████████████████████████████████████████████████████████████████████████▌ | 4760/5570 [1:16:05<11:08, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4348563253879547, 'eval_runtime': 1.5648, 'eval_samples_per_second': 460.115, 'eval_steps_per_second': 3.834, 'epoch': 8.53} -{'loss': 0.4046, 'grad_norm': 4.524903297424316, 'learning_rate': 1.4730215827338131e-05, 'epoch': 8.53} -{'loss': 0.4071, 'grad_norm': 3.9324464797973633, 'learning_rate': 1.4712230215827339e-05, 'epoch': 8.53} -{'loss': 0.4102, 'grad_norm': 4.84976053237915, 'learning_rate': 1.4694244604316548e-05, 'epoch': 8.53} -{'loss': 0.4217, 'grad_norm': 4.951935291290283, 'learning_rate': 1.4676258992805756e-05, 'epoch': 8.54} -{'loss': 0.4137, 'grad_norm': 1.6640775203704834, 'learning_rate': 1.4658273381294965e-05, 'epoch': 8.54} -{'loss': 0.4204, 'grad_norm': 1.7149887084960938, 'learning_rate': 1.4640287769784171e-05, 'epoch': 8.54} -{'loss': 0.4201, 'grad_norm': 3.1287341117858887, 'learning_rate': 1.4622302158273383e-05, 'epoch': 8.54} -{'loss': 0.4122, 'grad_norm': 3.998727321624756, 'learning_rate': 1.4604316546762592e-05, 'epoch': 8.54} -{'loss': 0.4105, 'grad_norm': 3.5314383506774902, 'learning_rate': 1.45863309352518e-05, 'epoch': 8.54} -{'loss': 0.413, 'grad_norm': 1.811841368675232, 'learning_rate': 1.4568345323741009e-05, 'epoch': 8.55} - 86%|██████████████████████████████████████████████████████████████████████████████▊ | 4770/5570 [1:16:14<11:01, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4350258409976959, 'eval_runtime': 1.5572, 'eval_samples_per_second': 462.373, 'eval_steps_per_second': 3.853, 'epoch': 8.55} -{'loss': 0.4093, 'grad_norm': 2.866152286529541, 'learning_rate': 1.4550359712230217e-05, 'epoch': 8.55} -{'loss': 0.4113, 'grad_norm': 6.817458152770996, 'learning_rate': 1.4532374100719426e-05, 'epoch': 8.55} -{'loss': 0.4058, 'grad_norm': 4.2499494552612305, 'learning_rate': 1.4514388489208632e-05, 'epoch': 8.55} -{'loss': 0.4207, 'grad_norm': 1.8056672811508179, 'learning_rate': 1.4496402877697843e-05, 'epoch': 8.55} -{'loss': 0.4125, 'grad_norm': 4.673322677612305, 'learning_rate': 1.447841726618705e-05, 'epoch': 8.55} -{'loss': 0.4208, 'grad_norm': 4.762296676635742, 'learning_rate': 1.446043165467626e-05, 'epoch': 8.56} -{'loss': 0.4251, 'grad_norm': 3.4216363430023193, 'learning_rate': 1.444244604316547e-05, 'epoch': 8.56} -{'loss': 0.4282, 'grad_norm': 3.8598034381866455, 'learning_rate': 1.4424460431654676e-05, 'epoch': 8.56} -{'loss': 0.4208, 'grad_norm': 6.536221027374268, 'learning_rate': 1.4406474820143887e-05, 'epoch': 8.56} -{'loss': 0.4214, 'grad_norm': 6.204965114593506, 'learning_rate': 1.4388489208633093e-05, 'epoch': 8.56} - 86%|██████████████████████████████████████████████████████████████████████████████▉ | 4780/5570 [1:16:24<10:47, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43524062633514404, 'eval_runtime': 1.5728, 'eval_samples_per_second': 457.783, 'eval_steps_per_second': 3.815, 'epoch': 8.56} -{'loss': 0.4064, 'grad_norm': 2.846229314804077, 'learning_rate': 1.4370503597122304e-05, 'epoch': 8.57} -{'loss': 0.4096, 'grad_norm': 3.9273431301116943, 'learning_rate': 1.435251798561151e-05, 'epoch': 8.57} -{'loss': 0.4237, 'grad_norm': 5.897413730621338, 'learning_rate': 1.4334532374100721e-05, 'epoch': 8.57} -{'loss': 0.4182, 'grad_norm': 4.169055938720703, 'learning_rate': 1.4316546762589927e-05, 'epoch': 8.57} -{'loss': 0.413, 'grad_norm': 5.184652805328369, 'learning_rate': 1.4298561151079137e-05, 'epoch': 8.57} -{'loss': 0.4096, 'grad_norm': 3.498216152191162, 'learning_rate': 1.4280575539568348e-05, 'epoch': 8.57} -{'loss': 0.4222, 'grad_norm': 5.446976661682129, 'learning_rate': 1.4262589928057554e-05, 'epoch': 8.58} -{'loss': 0.4277, 'grad_norm': 7.3730268478393555, 'learning_rate': 1.4244604316546765e-05, 'epoch': 8.58} -{'loss': 0.4104, 'grad_norm': 4.22223424911499, 'learning_rate': 1.422661870503597e-05, 'epoch': 8.58} -{'loss': 0.4122, 'grad_norm': 4.510107517242432, 'learning_rate': 1.420863309352518e-05, 'epoch': 8.58} - 86%|███████████████████████████████████████████████████████████████████████████████ | 4790/5570 [1:16:34<10:45, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43654370307922363, 'eval_runtime': 1.5648, 'eval_samples_per_second': 460.124, 'eval_steps_per_second': 3.834, 'epoch': 8.58} -{'loss': 0.4106, 'grad_norm': 4.3399338722229, 'learning_rate': 1.4190647482014388e-05, 'epoch': 8.58} -{'loss': 0.4017, 'grad_norm': 2.7358901500701904, 'learning_rate': 1.4172661870503597e-05, 'epoch': 8.59} -{'loss': 0.407, 'grad_norm': 4.178745746612549, 'learning_rate': 1.4154676258992808e-05, 'epoch': 8.59} -{'loss': 0.4124, 'grad_norm': 5.703871726989746, 'learning_rate': 1.4136690647482014e-05, 'epoch': 8.59} -{'loss': 0.4246, 'grad_norm': 4.5080246925354, 'learning_rate': 1.4118705035971226e-05, 'epoch': 8.59} -{'loss': 0.4138, 'grad_norm': 3.842710018157959, 'learning_rate': 1.4100719424460432e-05, 'epoch': 8.59} -{'loss': 0.4181, 'grad_norm': 6.553596019744873, 'learning_rate': 1.4082733812949641e-05, 'epoch': 8.59} -{'loss': 0.4082, 'grad_norm': 4.267893314361572, 'learning_rate': 1.4064748201438849e-05, 'epoch': 8.6} -{'loss': 0.4232, 'grad_norm': 2.1326866149902344, 'learning_rate': 1.4046762589928058e-05, 'epoch': 8.6} -{'loss': 0.4114, 'grad_norm': 5.414386749267578, 'learning_rate': 1.4028776978417266e-05, 'epoch': 8.6} - 86%|███████████████████████████████████████████████████████████████████████████████▎ | 4800/5570 [1:16:43<10:36, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43787574768066406, 'eval_runtime': 1.5642, 'eval_samples_per_second': 460.311, 'eval_steps_per_second': 3.836, 'epoch': 8.6} -{'loss': 0.4132, 'grad_norm': 8.262017250061035, 'learning_rate': 1.4010791366906475e-05, 'epoch': 8.6} -{'loss': 0.4161, 'grad_norm': 4.780636310577393, 'learning_rate': 1.3992805755395685e-05, 'epoch': 8.6} -{'loss': 0.4139, 'grad_norm': 1.5377070903778076, 'learning_rate': 1.3974820143884892e-05, 'epoch': 8.61} -{'loss': 0.4013, 'grad_norm': 1.5679272413253784, 'learning_rate': 1.3956834532374102e-05, 'epoch': 8.61} -{'loss': 0.4098, 'grad_norm': 8.81651782989502, 'learning_rate': 1.393884892086331e-05, 'epoch': 8.61} -{'loss': 0.4211, 'grad_norm': 9.6945161819458, 'learning_rate': 1.3920863309352519e-05, 'epoch': 8.61} -{'loss': 0.4164, 'grad_norm': 7.044740200042725, 'learning_rate': 1.3902877697841726e-05, 'epoch': 8.61} -{'loss': 0.4157, 'grad_norm': 3.7382900714874268, 'learning_rate': 1.3884892086330936e-05, 'epoch': 8.61} -{'loss': 0.4275, 'grad_norm': 2.643348455429077, 'learning_rate': 1.3866906474820144e-05, 'epoch': 8.62} -{'loss': 0.4233, 'grad_norm': 7.00715446472168, 'learning_rate': 1.3848920863309353e-05, 'epoch': 8.62} - 86%|███████████████████████████████████████████████████████████████████████████████▍ | 4810/5570 [1:16:53<10:26, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44270798563957214, 'eval_runtime': 1.5746, 'eval_samples_per_second': 457.247, 'eval_steps_per_second': 3.81, 'epoch': 8.62} -{'loss': 0.4211, 'grad_norm': 8.517972946166992, 'learning_rate': 1.3830935251798562e-05, 'epoch': 8.62} -{'loss': 0.4273, 'grad_norm': 7.409809589385986, 'learning_rate': 1.381294964028777e-05, 'epoch': 8.62} -{'loss': 0.4113, 'grad_norm': 5.158395767211914, 'learning_rate': 1.379496402877698e-05, 'epoch': 8.62} -{'loss': 0.4234, 'grad_norm': 3.0508782863616943, 'learning_rate': 1.3776978417266187e-05, 'epoch': 8.62} -{'loss': 0.4136, 'grad_norm': 3.9161815643310547, 'learning_rate': 1.3758992805755397e-05, 'epoch': 8.63} -{'loss': 0.4165, 'grad_norm': 8.828049659729004, 'learning_rate': 1.3741007194244604e-05, 'epoch': 8.63} -{'loss': 0.4269, 'grad_norm': 6.219177722930908, 'learning_rate': 1.3723021582733814e-05, 'epoch': 8.63} -{'loss': 0.4089, 'grad_norm': 4.279957294464111, 'learning_rate': 1.3705035971223021e-05, 'epoch': 8.63} -{'loss': 0.4175, 'grad_norm': 3.0066161155700684, 'learning_rate': 1.3687050359712231e-05, 'epoch': 8.63} -{'loss': 0.4124, 'grad_norm': 5.166327953338623, 'learning_rate': 1.366906474820144e-05, 'epoch': 8.64} - 87%|███████████████████████████████████████████████████████████████████████████████▌ | 4820/5570 [1:17:03<10:21, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44124576449394226, 'eval_runtime': 1.572, 'eval_samples_per_second': 458.024, 'eval_steps_per_second': 3.817, 'epoch': 8.64} -{'loss': 0.4173, 'grad_norm': 9.39241886138916, 'learning_rate': 1.3651079136690648e-05, 'epoch': 8.64} -{'loss': 0.4245, 'grad_norm': 8.461177825927734, 'learning_rate': 1.3633093525179857e-05, 'epoch': 8.64} -{'loss': 0.4188, 'grad_norm': 5.423583030700684, 'learning_rate': 1.3615107913669065e-05, 'epoch': 8.64} -{'loss': 0.4187, 'grad_norm': 2.95100474357605, 'learning_rate': 1.3597122302158274e-05, 'epoch': 8.64} -{'loss': 0.412, 'grad_norm': 5.128289222717285, 'learning_rate': 1.3579136690647482e-05, 'epoch': 8.64} -{'loss': 0.4244, 'grad_norm': 5.739808082580566, 'learning_rate': 1.3561151079136692e-05, 'epoch': 8.65} -{'loss': 0.4244, 'grad_norm': 7.294084548950195, 'learning_rate': 1.3543165467625901e-05, 'epoch': 8.65} -{'loss': 0.4171, 'grad_norm': 9.042176246643066, 'learning_rate': 1.3525179856115109e-05, 'epoch': 8.65} -{'loss': 0.4245, 'grad_norm': 3.329681873321533, 'learning_rate': 1.3507194244604318e-05, 'epoch': 8.65} -{'loss': 0.4074, 'grad_norm': 2.69319486618042, 'learning_rate': 1.3489208633093526e-05, 'epoch': 8.65} - 87%|███████████████████████████████████████████████████████████████████████████████▊ | 4830/5570 [1:17:12<10:04, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43644243478775024, 'eval_runtime': 1.5659, 'eval_samples_per_second': 459.794, 'eval_steps_per_second': 3.832, 'epoch': 8.65} -{'loss': 0.4054, 'grad_norm': 3.878767728805542, 'learning_rate': 1.3471223021582735e-05, 'epoch': 8.66} -{'loss': 0.4246, 'grad_norm': 6.154572486877441, 'learning_rate': 1.3453237410071943e-05, 'epoch': 8.66} -{'loss': 0.4215, 'grad_norm': 6.036445140838623, 'learning_rate': 1.3435251798561152e-05, 'epoch': 8.66} -{'loss': 0.4215, 'grad_norm': 5.388254642486572, 'learning_rate': 1.3417266187050358e-05, 'epoch': 8.66} -{'loss': 0.4153, 'grad_norm': 3.702470064163208, 'learning_rate': 1.339928057553957e-05, 'epoch': 8.66} -{'loss': 0.4153, 'grad_norm': 4.168736457824707, 'learning_rate': 1.3381294964028779e-05, 'epoch': 8.66} -{'loss': 0.4164, 'grad_norm': 10.018412590026855, 'learning_rate': 1.3363309352517987e-05, 'epoch': 8.67} -{'loss': 0.4273, 'grad_norm': 4.9651618003845215, 'learning_rate': 1.3345323741007196e-05, 'epoch': 8.67} -{'loss': 0.423, 'grad_norm': 5.043450832366943, 'learning_rate': 1.3327338129496404e-05, 'epoch': 8.67} -{'loss': 0.4167, 'grad_norm': 2.208632230758667, 'learning_rate': 1.3309352517985613e-05, 'epoch': 8.67} - 87%|███████████████████████████████████████████████████████████████████████████████▉ | 4840/5570 [1:17:22<10:06, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43560248613357544, 'eval_runtime': 1.5755, 'eval_samples_per_second': 456.991, 'eval_steps_per_second': 3.808, 'epoch': 8.67} -{'loss': 0.4136, 'grad_norm': 3.659604549407959, 'learning_rate': 1.3291366906474819e-05, 'epoch': 8.67} -{'loss': 0.4201, 'grad_norm': 6.034702777862549, 'learning_rate': 1.327338129496403e-05, 'epoch': 8.68} -{'loss': 0.4107, 'grad_norm': 9.659619331359863, 'learning_rate': 1.3255395683453236e-05, 'epoch': 8.68} -{'loss': 0.4035, 'grad_norm': 6.759461402893066, 'learning_rate': 1.3237410071942447e-05, 'epoch': 8.68} -{'loss': 0.4173, 'grad_norm': 2.548849582672119, 'learning_rate': 1.3219424460431657e-05, 'epoch': 8.68} -{'loss': 0.4168, 'grad_norm': 3.9750144481658936, 'learning_rate': 1.3201438848920863e-05, 'epoch': 8.68} -{'loss': 0.4179, 'grad_norm': 5.42006254196167, 'learning_rate': 1.3183453237410074e-05, 'epoch': 8.68} -{'loss': 0.4265, 'grad_norm': 8.104801177978516, 'learning_rate': 1.316546762589928e-05, 'epoch': 8.69} -{'loss': 0.4189, 'grad_norm': 6.463931560516357, 'learning_rate': 1.3147482014388491e-05, 'epoch': 8.69} -{'loss': 0.4224, 'grad_norm': 5.594986915588379, 'learning_rate': 1.3129496402877697e-05, 'epoch': 8.69} - 87%|████████████████████████████████████████████████████████████████████████████████ | 4850/5570 [1:17:32<09:52, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43371453881263733, 'eval_runtime': 1.5593, 'eval_samples_per_second': 461.734, 'eval_steps_per_second': 3.848, 'epoch': 8.69} -{'loss': 0.4079, 'grad_norm': 1.7951654195785522, 'learning_rate': 1.3111510791366908e-05, 'epoch': 8.69} -{'loss': 0.4152, 'grad_norm': 3.9481470584869385, 'learning_rate': 1.3093525179856117e-05, 'epoch': 8.69} -{'loss': 0.4092, 'grad_norm': 10.694104194641113, 'learning_rate': 1.3075539568345323e-05, 'epoch': 8.69} -{'loss': 0.4324, 'grad_norm': 10.065980911254883, 'learning_rate': 1.3057553956834535e-05, 'epoch': 8.7} -{'loss': 0.4246, 'grad_norm': 6.75212287902832, 'learning_rate': 1.303956834532374e-05, 'epoch': 8.7} -{'loss': 0.4211, 'grad_norm': 1.751665472984314, 'learning_rate': 1.3021582733812952e-05, 'epoch': 8.7} -{'loss': 0.4286, 'grad_norm': 9.576228141784668, 'learning_rate': 1.3003597122302158e-05, 'epoch': 8.7} -{'loss': 0.4248, 'grad_norm': 8.301640510559082, 'learning_rate': 1.2985611510791367e-05, 'epoch': 8.7} -{'loss': 0.4167, 'grad_norm': 7.709444046020508, 'learning_rate': 1.2967625899280575e-05, 'epoch': 8.71} -{'loss': 0.4186, 'grad_norm': 5.819863319396973, 'learning_rate': 1.2949640287769784e-05, 'epoch': 8.71} - 87%|████████████████████████████████████████████████████████████████████████████████▎ | 4860/5570 [1:17:41<09:38, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43803372979164124, 'eval_runtime': 1.5648, 'eval_samples_per_second': 460.113, 'eval_steps_per_second': 3.834, 'epoch': 8.71} -{'loss': 0.4106, 'grad_norm': 3.9783220291137695, 'learning_rate': 1.2931654676258995e-05, 'epoch': 8.71} -{'loss': 0.4141, 'grad_norm': 6.5124993324279785, 'learning_rate': 1.2913669064748201e-05, 'epoch': 8.71} -{'loss': 0.4299, 'grad_norm': 9.30434513092041, 'learning_rate': 1.2895683453237412e-05, 'epoch': 8.71} -{'loss': 0.4194, 'grad_norm': 8.207529067993164, 'learning_rate': 1.2877697841726618e-05, 'epoch': 8.71} -{'loss': 0.4261, 'grad_norm': 8.172517776489258, 'learning_rate': 1.2859712230215828e-05, 'epoch': 8.72} -{'loss': 0.4221, 'grad_norm': 7.219017505645752, 'learning_rate': 1.2841726618705036e-05, 'epoch': 8.72} -{'loss': 0.422, 'grad_norm': 7.074478626251221, 'learning_rate': 1.2823741007194245e-05, 'epoch': 8.72} -{'loss': 0.4027, 'grad_norm': 5.415815353393555, 'learning_rate': 1.2805755395683453e-05, 'epoch': 8.72} -{'loss': 0.4196, 'grad_norm': 7.018912315368652, 'learning_rate': 1.2787769784172662e-05, 'epoch': 8.72} -{'loss': 0.4173, 'grad_norm': 3.7089595794677734, 'learning_rate': 1.2769784172661871e-05, 'epoch': 8.73} - 87%|████████████████████████████████████████████████████████████████████████████████▍ | 4870/5570 [1:17:51<09:31, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4358373284339905, 'eval_runtime': 1.5589, 'eval_samples_per_second': 461.875, 'eval_steps_per_second': 3.849, 'epoch': 8.73} -{'loss': 0.4143, 'grad_norm': 3.241060495376587, 'learning_rate': 1.2751798561151079e-05, 'epoch': 8.73} -{'loss': 0.4193, 'grad_norm': 8.440678596496582, 'learning_rate': 1.2733812949640289e-05, 'epoch': 8.73} -{'loss': 0.4112, 'grad_norm': 6.74760103225708, 'learning_rate': 1.2715827338129496e-05, 'epoch': 8.73} -{'loss': 0.4281, 'grad_norm': 8.397809028625488, 'learning_rate': 1.2697841726618706e-05, 'epoch': 8.73} -{'loss': 0.414, 'grad_norm': 6.931107997894287, 'learning_rate': 1.2679856115107913e-05, 'epoch': 8.73} -{'loss': 0.418, 'grad_norm': 4.146602630615234, 'learning_rate': 1.2661870503597123e-05, 'epoch': 8.74} -{'loss': 0.4048, 'grad_norm': 5.513107776641846, 'learning_rate': 1.2643884892086332e-05, 'epoch': 8.74} -{'loss': 0.4189, 'grad_norm': 6.984882831573486, 'learning_rate': 1.262589928057554e-05, 'epoch': 8.74} -{'loss': 0.4205, 'grad_norm': 8.948493957519531, 'learning_rate': 1.260791366906475e-05, 'epoch': 8.74} -{'loss': 0.4201, 'grad_norm': 7.21848201751709, 'learning_rate': 1.2589928057553957e-05, 'epoch': 8.74} - 88%|████████████████████████████████████████████████████████████████████████████████▌ | 4880/5570 [1:18:01<09:22, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.435385525226593, 'eval_runtime': 1.5235, 'eval_samples_per_second': 472.592, 'eval_steps_per_second': 3.938, 'epoch': 8.74} -{'loss': 0.4075, 'grad_norm': 4.7938737869262695, 'learning_rate': 1.2571942446043166e-05, 'epoch': 8.75} -{'loss': 0.4176, 'grad_norm': 3.0778138637542725, 'learning_rate': 1.2553956834532374e-05, 'epoch': 8.75} -{'loss': 0.421, 'grad_norm': 5.067589282989502, 'learning_rate': 1.2535971223021583e-05, 'epoch': 8.75} -{'loss': 0.4114, 'grad_norm': 7.278801918029785, 'learning_rate': 1.2517985611510791e-05, 'epoch': 8.75} -{'loss': 0.4236, 'grad_norm': 5.855109214782715, 'learning_rate': 1.25e-05, 'epoch': 8.75} -{'loss': 0.4086, 'grad_norm': 2.7778241634368896, 'learning_rate': 1.2482014388489208e-05, 'epoch': 8.75} -{'loss': 0.4173, 'grad_norm': 2.700451612472534, 'learning_rate': 1.2464028776978418e-05, 'epoch': 8.76} -{'loss': 0.4093, 'grad_norm': 4.199532985687256, 'learning_rate': 1.2446043165467625e-05, 'epoch': 8.76} -{'loss': 0.4189, 'grad_norm': 2.2822265625, 'learning_rate': 1.2428057553956835e-05, 'epoch': 8.76} -{'loss': 0.4208, 'grad_norm': 1.5663986206054688, 'learning_rate': 1.2410071942446044e-05, 'epoch': 8.76} - 88%|████████████████████████████████████████████████████████████████████████████████▊ | 4890/5570 [1:18:10<09:06, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4341866374015808, 'eval_runtime': 1.5387, 'eval_samples_per_second': 467.924, 'eval_steps_per_second': 3.899, 'epoch': 8.76} -{'loss': 0.4175, 'grad_norm': 2.6854207515716553, 'learning_rate': 1.2392086330935254e-05, 'epoch': 8.76} -{'loss': 0.4154, 'grad_norm': 3.406514883041382, 'learning_rate': 1.2374100719424461e-05, 'epoch': 8.76} -{'loss': 0.4177, 'grad_norm': 3.975926160812378, 'learning_rate': 1.2356115107913669e-05, 'epoch': 8.77} -{'loss': 0.4199, 'grad_norm': 3.510955333709717, 'learning_rate': 1.2338129496402878e-05, 'epoch': 8.77} -{'loss': 0.4245, 'grad_norm': 2.4798431396484375, 'learning_rate': 1.2320143884892086e-05, 'epoch': 8.77} -{'loss': 0.4096, 'grad_norm': 2.9006004333496094, 'learning_rate': 1.2302158273381296e-05, 'epoch': 8.77} -{'loss': 0.4141, 'grad_norm': 3.9187934398651123, 'learning_rate': 1.2284172661870503e-05, 'epoch': 8.77} -{'loss': 0.4212, 'grad_norm': 3.4666011333465576, 'learning_rate': 1.2266187050359713e-05, 'epoch': 8.78} -{'loss': 0.4138, 'grad_norm': 2.4510481357574463, 'learning_rate': 1.2248201438848922e-05, 'epoch': 8.78} -{'loss': 0.4025, 'grad_norm': 2.1551296710968018, 'learning_rate': 1.223021582733813e-05, 'epoch': 8.78} - 88%|████████████████████████████████████████████████████████████████████████████████▉ | 4900/5570 [1:18:20<09:07, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4352792203426361, 'eval_runtime': 1.5309, 'eval_samples_per_second': 470.32, 'eval_steps_per_second': 3.919, 'epoch': 8.78} -{'loss': 0.4119, 'grad_norm': 4.126615047454834, 'learning_rate': 1.221223021582734e-05, 'epoch': 8.78} -{'loss': 0.436, 'grad_norm': 8.646407127380371, 'learning_rate': 1.2194244604316547e-05, 'epoch': 8.78} -{'loss': 0.4065, 'grad_norm': 3.563851833343506, 'learning_rate': 1.2176258992805756e-05, 'epoch': 8.78} -{'loss': 0.4189, 'grad_norm': 2.258599281311035, 'learning_rate': 1.2158273381294964e-05, 'epoch': 8.79} -{'loss': 0.4231, 'grad_norm': 1.4574521780014038, 'learning_rate': 1.2140287769784173e-05, 'epoch': 8.79} -{'loss': 0.4131, 'grad_norm': 4.025082588195801, 'learning_rate': 1.2122302158273383e-05, 'epoch': 8.79} -{'loss': 0.4153, 'grad_norm': 3.9158599376678467, 'learning_rate': 1.210431654676259e-05, 'epoch': 8.79} -{'loss': 0.4143, 'grad_norm': 3.275283098220825, 'learning_rate': 1.20863309352518e-05, 'epoch': 8.79} -{'loss': 0.4182, 'grad_norm': 4.7513628005981445, 'learning_rate': 1.2068345323741008e-05, 'epoch': 8.8} -{'loss': 0.4208, 'grad_norm': 4.841862678527832, 'learning_rate': 1.2050359712230217e-05, 'epoch': 8.8} - 88%|█████████████████████████████████████████████████████████████████████████████████ | 4910/5570 [1:18:29<08:58, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43453851342201233, 'eval_runtime': 1.5434, 'eval_samples_per_second': 466.514, 'eval_steps_per_second': 3.888, 'epoch': 8.8} -{'loss': 0.4138, 'grad_norm': 6.189305782318115, 'learning_rate': 1.2032374100719425e-05, 'epoch': 8.8} -{'loss': 0.4022, 'grad_norm': 4.493706703186035, 'learning_rate': 1.2014388489208634e-05, 'epoch': 8.8} -{'loss': 0.4119, 'grad_norm': 4.607717037200928, 'learning_rate': 1.1996402877697842e-05, 'epoch': 8.8} -{'loss': 0.4214, 'grad_norm': 2.4020490646362305, 'learning_rate': 1.197841726618705e-05, 'epoch': 8.8} -{'loss': 0.4144, 'grad_norm': 4.019134044647217, 'learning_rate': 1.196043165467626e-05, 'epoch': 8.81} -{'loss': 0.4105, 'grad_norm': 5.118782043457031, 'learning_rate': 1.1942446043165468e-05, 'epoch': 8.81} -{'loss': 0.4143, 'grad_norm': 4.8774590492248535, 'learning_rate': 1.1924460431654678e-05, 'epoch': 8.81} -{'loss': 0.4037, 'grad_norm': 1.93351149559021, 'learning_rate': 1.1906474820143885e-05, 'epoch': 8.81} -{'loss': 0.4082, 'grad_norm': 2.593440294265747, 'learning_rate': 1.1888489208633093e-05, 'epoch': 8.81} -{'loss': 0.4018, 'grad_norm': 4.01036262512207, 'learning_rate': 1.1870503597122303e-05, 'epoch': 8.82} - 88%|█████████████████████████████████████████████████████████████████████████████████▎ | 4920/5570 [1:18:39<08:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43413788080215454, 'eval_runtime': 1.5243, 'eval_samples_per_second': 472.361, 'eval_steps_per_second': 3.936, 'epoch': 8.82} -{'loss': 0.4079, 'grad_norm': 3.423565626144409, 'learning_rate': 1.185251798561151e-05, 'epoch': 8.82} -{'loss': 0.4032, 'grad_norm': 4.184532642364502, 'learning_rate': 1.183453237410072e-05, 'epoch': 8.82} -{'loss': 0.4132, 'grad_norm': 2.2692580223083496, 'learning_rate': 1.1816546762589929e-05, 'epoch': 8.82} -{'loss': 0.4186, 'grad_norm': 1.9482935667037964, 'learning_rate': 1.1798561151079138e-05, 'epoch': 8.82} -{'loss': 0.4205, 'grad_norm': 3.1755053997039795, 'learning_rate': 1.1780575539568346e-05, 'epoch': 8.82} -{'loss': 0.4206, 'grad_norm': 3.0128278732299805, 'learning_rate': 1.1762589928057554e-05, 'epoch': 8.83} -{'loss': 0.4113, 'grad_norm': 3.4407541751861572, 'learning_rate': 1.1744604316546763e-05, 'epoch': 8.83} -{'loss': 0.4188, 'grad_norm': 1.9981814622879028, 'learning_rate': 1.1726618705035971e-05, 'epoch': 8.83} -{'loss': 0.4109, 'grad_norm': 3.6681694984436035, 'learning_rate': 1.170863309352518e-05, 'epoch': 8.83} -{'loss': 0.4068, 'grad_norm': 5.413755416870117, 'learning_rate': 1.1690647482014388e-05, 'epoch': 8.83} - 89%|█████████████████████████████████████████████████████████████████████████████████▍ | 4930/5570 [1:18:48<08:46, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4355413615703583, 'eval_runtime': 1.5326, 'eval_samples_per_second': 469.776, 'eval_steps_per_second': 3.915, 'epoch': 8.83} -{'loss': 0.4179, 'grad_norm': 2.5477805137634277, 'learning_rate': 1.1672661870503598e-05, 'epoch': 8.83} -{'loss': 0.4255, 'grad_norm': 1.8326053619384766, 'learning_rate': 1.1654676258992807e-05, 'epoch': 8.84} -{'loss': 0.4241, 'grad_norm': 4.696101665496826, 'learning_rate': 1.1636690647482015e-05, 'epoch': 8.84} -{'loss': 0.412, 'grad_norm': 3.91106915473938, 'learning_rate': 1.1618705035971224e-05, 'epoch': 8.84} -{'loss': 0.4154, 'grad_norm': 6.178391933441162, 'learning_rate': 1.1600719424460432e-05, 'epoch': 8.84} -{'loss': 0.4106, 'grad_norm': 4.595104217529297, 'learning_rate': 1.1582733812949641e-05, 'epoch': 8.84} -{'loss': 0.4179, 'grad_norm': 3.280848503112793, 'learning_rate': 1.1564748201438849e-05, 'epoch': 8.85} -{'loss': 0.4276, 'grad_norm': 3.271700859069824, 'learning_rate': 1.1546762589928058e-05, 'epoch': 8.85} -{'loss': 0.4073, 'grad_norm': 2.147886037826538, 'learning_rate': 1.1528776978417266e-05, 'epoch': 8.85} -{'loss': 0.4141, 'grad_norm': 5.362120628356934, 'learning_rate': 1.1510791366906475e-05, 'epoch': 8.85} - 89%|█████████████████████████████████████████████████████████████████████████████████▌ | 4940/5570 [1:18:58<08:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43757590651512146, 'eval_runtime': 1.5594, 'eval_samples_per_second': 461.706, 'eval_steps_per_second': 3.848, 'epoch': 8.85} -{'loss': 0.4138, 'grad_norm': 7.670489311218262, 'learning_rate': 1.1492805755395685e-05, 'epoch': 8.85} -{'loss': 0.4036, 'grad_norm': 4.078922748565674, 'learning_rate': 1.1474820143884892e-05, 'epoch': 8.85} -{'loss': 0.4248, 'grad_norm': 3.573017120361328, 'learning_rate': 1.1456834532374102e-05, 'epoch': 8.86} -{'loss': 0.4002, 'grad_norm': 2.9450340270996094, 'learning_rate': 1.143884892086331e-05, 'epoch': 8.86} -{'loss': 0.4141, 'grad_norm': 3.1429059505462646, 'learning_rate': 1.1420863309352519e-05, 'epoch': 8.86} -{'loss': 0.4054, 'grad_norm': 4.857239246368408, 'learning_rate': 1.1402877697841727e-05, 'epoch': 8.86} -{'loss': 0.4107, 'grad_norm': 5.825065612792969, 'learning_rate': 1.1384892086330934e-05, 'epoch': 8.86} -{'loss': 0.4283, 'grad_norm': 3.9082980155944824, 'learning_rate': 1.1366906474820146e-05, 'epoch': 8.87} -{'loss': 0.4189, 'grad_norm': 5.531765460968018, 'learning_rate': 1.1348920863309353e-05, 'epoch': 8.87} -{'loss': 0.418, 'grad_norm': 8.312585830688477, 'learning_rate': 1.1330935251798563e-05, 'epoch': 8.87} - 89%|█████████████████████████████████████████████████████████████████████████████████▊ | 4950/5570 [1:19:08<08:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43509435653686523, 'eval_runtime': 1.5399, 'eval_samples_per_second': 467.578, 'eval_steps_per_second': 3.896, 'epoch': 8.87} -{'loss': 0.4056, 'grad_norm': 4.604568958282471, 'learning_rate': 1.131294964028777e-05, 'epoch': 8.87} -{'loss': 0.4111, 'grad_norm': 1.4441609382629395, 'learning_rate': 1.129496402877698e-05, 'epoch': 8.87} -{'loss': 0.4165, 'grad_norm': 2.9581925868988037, 'learning_rate': 1.1276978417266187e-05, 'epoch': 8.87} -{'loss': 0.4224, 'grad_norm': 3.393645763397217, 'learning_rate': 1.1258992805755395e-05, 'epoch': 8.88} -{'loss': 0.4208, 'grad_norm': 4.7250518798828125, 'learning_rate': 1.1241007194244605e-05, 'epoch': 8.88} -{'loss': 0.419, 'grad_norm': 3.2353157997131348, 'learning_rate': 1.1223021582733812e-05, 'epoch': 8.88} -{'loss': 0.428, 'grad_norm': 3.6875109672546387, 'learning_rate': 1.1205035971223023e-05, 'epoch': 8.88} -{'loss': 0.4061, 'grad_norm': 2.912651300430298, 'learning_rate': 1.1187050359712231e-05, 'epoch': 8.88} -{'loss': 0.4008, 'grad_norm': 5.373111248016357, 'learning_rate': 1.1169064748201439e-05, 'epoch': 8.89} -{'loss': 0.4126, 'grad_norm': 1.9970011711120605, 'learning_rate': 1.1151079136690648e-05, 'epoch': 8.89} - 89%|█████████████████████████████████████████████████████████████████████████████████▉ | 4960/5570 [1:19:17<08:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43547481298446655, 'eval_runtime': 1.5543, 'eval_samples_per_second': 463.22, 'eval_steps_per_second': 3.86, 'epoch': 8.89} -{'loss': 0.4108, 'grad_norm': 4.033740043640137, 'learning_rate': 1.1133093525179856e-05, 'epoch': 8.89} -{'loss': 0.4024, 'grad_norm': 1.3753896951675415, 'learning_rate': 1.1115107913669065e-05, 'epoch': 8.89} -{'loss': 0.4107, 'grad_norm': 5.1598801612854, 'learning_rate': 1.1097122302158273e-05, 'epoch': 8.89} -{'loss': 0.4142, 'grad_norm': 2.5856969356536865, 'learning_rate': 1.1079136690647482e-05, 'epoch': 8.89} -{'loss': 0.4099, 'grad_norm': 4.815430641174316, 'learning_rate': 1.1061151079136692e-05, 'epoch': 8.9} -{'loss': 0.4222, 'grad_norm': 3.0263497829437256, 'learning_rate': 1.10431654676259e-05, 'epoch': 8.9} -{'loss': 0.4091, 'grad_norm': 4.75351095199585, 'learning_rate': 1.1025179856115109e-05, 'epoch': 8.9} -{'loss': 0.4132, 'grad_norm': 2.313429355621338, 'learning_rate': 1.1007194244604317e-05, 'epoch': 8.9} -{'loss': 0.405, 'grad_norm': 1.7922618389129639, 'learning_rate': 1.0989208633093526e-05, 'epoch': 8.9} -{'loss': 0.419, 'grad_norm': 3.556039333343506, 'learning_rate': 1.0971223021582734e-05, 'epoch': 8.9} - 89%|██████████████████████████████████████████████████████████████████████████████████ | 4970/5570 [1:19:27<08:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43506643176078796, 'eval_runtime': 1.5299, 'eval_samples_per_second': 470.616, 'eval_steps_per_second': 3.922, 'epoch': 8.9} -{'loss': 0.4207, 'grad_norm': 4.467034339904785, 'learning_rate': 1.0953237410071943e-05, 'epoch': 8.91} -{'loss': 0.4218, 'grad_norm': 2.7568798065185547, 'learning_rate': 1.0935251798561151e-05, 'epoch': 8.91} -{'loss': 0.41, 'grad_norm': 4.561227321624756, 'learning_rate': 1.091726618705036e-05, 'epoch': 8.91} -{'loss': 0.414, 'grad_norm': 3.6077077388763428, 'learning_rate': 1.089928057553957e-05, 'epoch': 8.91} -{'loss': 0.4155, 'grad_norm': 3.9995529651641846, 'learning_rate': 1.0881294964028777e-05, 'epoch': 8.91} -{'loss': 0.4144, 'grad_norm': 4.427126407623291, 'learning_rate': 1.0863309352517987e-05, 'epoch': 8.92} -{'loss': 0.421, 'grad_norm': 6.5510993003845215, 'learning_rate': 1.0845323741007194e-05, 'epoch': 8.92} -{'loss': 0.4108, 'grad_norm': 1.992721438407898, 'learning_rate': 1.0827338129496404e-05, 'epoch': 8.92} -{'loss': 0.417, 'grad_norm': 5.004882335662842, 'learning_rate': 1.0809352517985612e-05, 'epoch': 8.92} -{'loss': 0.4175, 'grad_norm': 5.01935338973999, 'learning_rate': 1.0791366906474821e-05, 'epoch': 8.92} - 89%|██████████████████████████████████████████████████████████████████████████████████▎ | 4980/5570 [1:19:36<08:00, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4364005923271179, 'eval_runtime': 1.529, 'eval_samples_per_second': 470.895, 'eval_steps_per_second': 3.924, 'epoch': 8.92} -{'loss': 0.4187, 'grad_norm': 6.169548034667969, 'learning_rate': 1.0773381294964029e-05, 'epoch': 8.92} -{'loss': 0.4134, 'grad_norm': 3.436927556991577, 'learning_rate': 1.0755395683453238e-05, 'epoch': 8.93} -{'loss': 0.4209, 'grad_norm': 2.7839269638061523, 'learning_rate': 1.0737410071942448e-05, 'epoch': 8.93} -{'loss': 0.4121, 'grad_norm': 3.8587183952331543, 'learning_rate': 1.0719424460431655e-05, 'epoch': 8.93} -{'loss': 0.4233, 'grad_norm': 6.0992865562438965, 'learning_rate': 1.0701438848920865e-05, 'epoch': 8.93} -{'loss': 0.4154, 'grad_norm': 2.5715584754943848, 'learning_rate': 1.0683453237410072e-05, 'epoch': 8.93} -{'loss': 0.4154, 'grad_norm': 2.5437657833099365, 'learning_rate': 1.066546762589928e-05, 'epoch': 8.94} -{'loss': 0.4183, 'grad_norm': 1.169136881828308, 'learning_rate': 1.064748201438849e-05, 'epoch': 8.94} -{'loss': 0.4163, 'grad_norm': 2.4703428745269775, 'learning_rate': 1.0629496402877697e-05, 'epoch': 8.94} -{'loss': 0.4117, 'grad_norm': 2.0833375453948975, 'learning_rate': 1.0611510791366908e-05, 'epoch': 8.94} - 90%|██████████████████████████████████████████████████████████████████████████████████▍ | 4990/5570 [1:19:46<07:53, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4347533881664276, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.302, 'eval_steps_per_second': 3.911, 'epoch': 8.94} -{'loss': 0.4123, 'grad_norm': 3.360748767852783, 'learning_rate': 1.0593525179856116e-05, 'epoch': 8.94} -{'loss': 0.416, 'grad_norm': 2.01611328125, 'learning_rate': 1.0575539568345325e-05, 'epoch': 8.94} -{'loss': 0.4043, 'grad_norm': 1.6091023683547974, 'learning_rate': 1.0557553956834533e-05, 'epoch': 8.95} -{'loss': 0.4078, 'grad_norm': 2.6201066970825195, 'learning_rate': 1.053956834532374e-05, 'epoch': 8.95} -{'loss': 0.4164, 'grad_norm': 5.1894450187683105, 'learning_rate': 1.052158273381295e-05, 'epoch': 8.95} -{'loss': 0.4072, 'grad_norm': 6.041865825653076, 'learning_rate': 1.0503597122302158e-05, 'epoch': 8.95} -{'loss': 0.4178, 'grad_norm': 6.951108455657959, 'learning_rate': 1.0485611510791367e-05, 'epoch': 8.95} -{'loss': 0.419, 'grad_norm': 3.2126247882843018, 'learning_rate': 1.0467625899280575e-05, 'epoch': 8.96} -{'loss': 0.4144, 'grad_norm': 4.540136814117432, 'learning_rate': 1.0449640287769784e-05, 'epoch': 8.96} -{'loss': 0.4131, 'grad_norm': 2.6280860900878906, 'learning_rate': 1.0431654676258994e-05, 'epoch': 8.96} - 90%|██████████████████████████████████████████████████████████████████████████████████▌ | 5000/5570 [1:19:55<07:43, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4353545606136322, 'eval_runtime': 1.5559, 'eval_samples_per_second': 462.748, 'eval_steps_per_second': 3.856, 'epoch': 8.96} -{'loss': 0.411, 'grad_norm': 2.7646026611328125, 'learning_rate': 1.0413669064748202e-05, 'epoch': 8.96} -{'loss': 0.4145, 'grad_norm': 3.9090797901153564, 'learning_rate': 1.0395683453237411e-05, 'epoch': 8.96} -{'loss': 0.411, 'grad_norm': 3.6080753803253174, 'learning_rate': 1.0377697841726619e-05, 'epoch': 8.96} -{'loss': 0.4169, 'grad_norm': 5.584108352661133, 'learning_rate': 1.0359712230215828e-05, 'epoch': 8.97} -{'loss': 0.4178, 'grad_norm': 7.394397735595703, 'learning_rate': 1.0341726618705036e-05, 'epoch': 8.97} -{'loss': 0.4119, 'grad_norm': 4.89564323425293, 'learning_rate': 1.0323741007194245e-05, 'epoch': 8.97} -{'loss': 0.4175, 'grad_norm': 2.0160632133483887, 'learning_rate': 1.0305755395683455e-05, 'epoch': 8.97} -{'loss': 0.4067, 'grad_norm': 4.58733606338501, 'learning_rate': 1.0287769784172662e-05, 'epoch': 8.97} -{'loss': 0.4074, 'grad_norm': 3.6297171115875244, 'learning_rate': 1.0269784172661872e-05, 'epoch': 8.97} -{'loss': 0.4042, 'grad_norm': 3.5741915702819824, 'learning_rate': 1.025179856115108e-05, 'epoch': 8.98} - 90%|██████████████████████████████████████████████████████████████████████████████████▊ | 5010/5570 [1:20:07<07:47, 1.20it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43425387144088745, 'eval_runtime': 1.543, 'eval_samples_per_second': 466.627, 'eval_steps_per_second': 3.889, 'epoch': 8.98} -{'loss': 0.4196, 'grad_norm': 3.779167890548706, 'learning_rate': 1.0233812949640289e-05, 'epoch': 8.98} -{'loss': 0.4161, 'grad_norm': 3.6920952796936035, 'learning_rate': 1.0215827338129496e-05, 'epoch': 8.98} -{'loss': 0.4192, 'grad_norm': 3.585245132446289, 'learning_rate': 1.0197841726618706e-05, 'epoch': 8.98} -{'loss': 0.4074, 'grad_norm': 3.2876639366149902, 'learning_rate': 1.0179856115107914e-05, 'epoch': 8.98} -{'loss': 0.4186, 'grad_norm': 2.9942078590393066, 'learning_rate': 1.0161870503597123e-05, 'epoch': 8.99} -{'loss': 0.4102, 'grad_norm': 3.092357635498047, 'learning_rate': 1.0143884892086332e-05, 'epoch': 8.99} -{'loss': 0.4128, 'grad_norm': 4.1629109382629395, 'learning_rate': 1.012589928057554e-05, 'epoch': 8.99} -{'loss': 0.4046, 'grad_norm': 3.4581172466278076, 'learning_rate': 1.010791366906475e-05, 'epoch': 8.99} -{'loss': 0.4113, 'grad_norm': 2.0591518878936768, 'learning_rate': 1.0089928057553957e-05, 'epoch': 8.99} -{'loss': 0.4056, 'grad_norm': 2.399691104888916, 'learning_rate': 1.0071942446043167e-05, 'epoch': 8.99} - 90%|██████████████████████████████████████████████████████████████████████████████████▉ | 5020/5570 [1:20:16<07:21, 1.25it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4334525763988495, 'eval_runtime': 1.5294, 'eval_samples_per_second': 470.758, 'eval_steps_per_second': 3.923, 'epoch': 8.99} -{'loss': 0.4182, 'grad_norm': 3.521355390548706, 'learning_rate': 1.0053956834532374e-05, 'epoch': 9.0} -{'loss': 0.419, 'grad_norm': 3.6265790462493896, 'learning_rate': 1.0035971223021582e-05, 'epoch': 9.0} -{'loss': 0.3834, 'grad_norm': 5.199356555938721, 'learning_rate': 1.0017985611510791e-05, 'epoch': 9.0} -{'loss': 0.4189, 'grad_norm': 7.436365604400635, 'learning_rate': 1e-05, 'epoch': 9.0} -{'loss': 0.4067, 'grad_norm': 5.0336408615112305, 'learning_rate': 9.98201438848921e-06, 'epoch': 9.0} -{'loss': 0.4043, 'grad_norm': 5.073568344116211, 'learning_rate': 9.964028776978418e-06, 'epoch': 9.01} -{'loss': 0.4167, 'grad_norm': 1.8646571636199951, 'learning_rate': 9.946043165467626e-06, 'epoch': 9.01} -{'loss': 0.4112, 'grad_norm': 2.984987735748291, 'learning_rate': 9.928057553956835e-06, 'epoch': 9.01} -{'loss': 0.4103, 'grad_norm': 2.383441209793091, 'learning_rate': 9.910071942446043e-06, 'epoch': 9.01} -{'loss': 0.4029, 'grad_norm': 1.478831171989441, 'learning_rate': 9.892086330935252e-06, 'epoch': 9.01} - 90%|███████████████████████████████████████████████████████████████████████████████████ | 5030/5570 [1:20:25<07:17, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4334750771522522, 'eval_runtime': 1.5398, 'eval_samples_per_second': 467.59, 'eval_steps_per_second': 3.897, 'epoch': 9.01} -{'loss': 0.3968, 'grad_norm': 2.4576165676116943, 'learning_rate': 9.87410071942446e-06, 'epoch': 9.01} -{'loss': 0.4067, 'grad_norm': 2.216414213180542, 'learning_rate': 9.856115107913671e-06, 'epoch': 9.02} -{'loss': 0.4037, 'grad_norm': 4.80803108215332, 'learning_rate': 9.838129496402879e-06, 'epoch': 9.02} -{'loss': 0.4006, 'grad_norm': 6.229033946990967, 'learning_rate': 9.820143884892086e-06, 'epoch': 9.02} -{'loss': 0.4002, 'grad_norm': 6.063268184661865, 'learning_rate': 9.802158273381296e-06, 'epoch': 9.02} -{'loss': 0.4037, 'grad_norm': 3.271411657333374, 'learning_rate': 9.784172661870503e-06, 'epoch': 9.02} -{'loss': 0.4051, 'grad_norm': 3.1900086402893066, 'learning_rate': 9.766187050359713e-06, 'epoch': 9.03} -{'loss': 0.39, 'grad_norm': 2.5710325241088867, 'learning_rate': 9.74820143884892e-06, 'epoch': 9.03} -{'loss': 0.4037, 'grad_norm': 2.5858702659606934, 'learning_rate': 9.73021582733813e-06, 'epoch': 9.03} -{'loss': 0.3961, 'grad_norm': 1.597398042678833, 'learning_rate': 9.71223021582734e-06, 'epoch': 9.03} - 90%|███████████████████████████████████████████████████████████████████████████████████▏ | 5040/5570 [1:20:35<07:11, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43531349301338196, 'eval_runtime': 1.5232, 'eval_samples_per_second': 472.68, 'eval_steps_per_second': 3.939, 'epoch': 9.03} -{'loss': 0.3981, 'grad_norm': 5.583820343017578, 'learning_rate': 9.694244604316547e-06, 'epoch': 9.03} -{'loss': 0.4006, 'grad_norm': 3.7952988147735596, 'learning_rate': 9.676258992805757e-06, 'epoch': 9.03} -{'loss': 0.4072, 'grad_norm': 2.7928826808929443, 'learning_rate': 9.658273381294964e-06, 'epoch': 9.04} -{'loss': 0.3977, 'grad_norm': 3.8657145500183105, 'learning_rate': 9.640287769784174e-06, 'epoch': 9.04} -{'loss': 0.3981, 'grad_norm': 4.252549648284912, 'learning_rate': 9.622302158273381e-06, 'epoch': 9.04} -{'loss': 0.4008, 'grad_norm': 1.5687371492385864, 'learning_rate': 9.60431654676259e-06, 'epoch': 9.04} -{'loss': 0.4072, 'grad_norm': 2.605424165725708, 'learning_rate': 9.586330935251798e-06, 'epoch': 9.04} -{'loss': 0.4125, 'grad_norm': 1.6814087629318237, 'learning_rate': 9.568345323741008e-06, 'epoch': 9.04} -{'loss': 0.4022, 'grad_norm': 2.1304709911346436, 'learning_rate': 9.550359712230217e-06, 'epoch': 9.05} -{'loss': 0.4034, 'grad_norm': 3.3130664825439453, 'learning_rate': 9.532374100719425e-06, 'epoch': 9.05} - 91%|███████████████████████████████████████████████████████████████████████████████████▍ | 5050/5570 [1:20:44<07:04, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4373677968978882, 'eval_runtime': 1.5435, 'eval_samples_per_second': 466.457, 'eval_steps_per_second': 3.887, 'epoch': 9.05} -{'loss': 0.4035, 'grad_norm': 5.2158966064453125, 'learning_rate': 9.514388489208634e-06, 'epoch': 9.05} -{'loss': 0.4099, 'grad_norm': 4.176095008850098, 'learning_rate': 9.496402877697842e-06, 'epoch': 9.05} -{'loss': 0.3982, 'grad_norm': 4.0299882888793945, 'learning_rate': 9.478417266187051e-06, 'epoch': 9.05} -{'loss': 0.4061, 'grad_norm': 3.7162959575653076, 'learning_rate': 9.46043165467626e-06, 'epoch': 9.06} -{'loss': 0.3874, 'grad_norm': 4.891200542449951, 'learning_rate': 9.442446043165467e-06, 'epoch': 9.06} -{'loss': 0.4168, 'grad_norm': 2.26985239982605, 'learning_rate': 9.424460431654676e-06, 'epoch': 9.06} -{'loss': 0.394, 'grad_norm': 3.5552806854248047, 'learning_rate': 9.406474820143886e-06, 'epoch': 9.06} -{'loss': 0.4122, 'grad_norm': 5.015079021453857, 'learning_rate': 9.388489208633095e-06, 'epoch': 9.06} -{'loss': 0.4011, 'grad_norm': 2.9334285259246826, 'learning_rate': 9.370503597122303e-06, 'epoch': 9.06} -{'loss': 0.4047, 'grad_norm': 3.6455605030059814, 'learning_rate': 9.352517985611512e-06, 'epoch': 9.07} - 91%|███████████████████████████████████████████████████████████████████████████████████▌ | 5060/5570 [1:20:54<06:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4382483959197998, 'eval_runtime': 1.5607, 'eval_samples_per_second': 461.317, 'eval_steps_per_second': 3.844, 'epoch': 9.07} -{'loss': 0.402, 'grad_norm': 2.4763078689575195, 'learning_rate': 9.33453237410072e-06, 'epoch': 9.07} -{'loss': 0.4062, 'grad_norm': 2.1232106685638428, 'learning_rate': 9.316546762589928e-06, 'epoch': 9.07} -{'loss': 0.3975, 'grad_norm': 5.056916236877441, 'learning_rate': 9.298561151079137e-06, 'epoch': 9.07} -{'loss': 0.4131, 'grad_norm': 3.3749520778656006, 'learning_rate': 9.280575539568345e-06, 'epoch': 9.07} -{'loss': 0.4107, 'grad_norm': 2.594858169555664, 'learning_rate': 9.262589928057554e-06, 'epoch': 9.08} -{'loss': 0.3992, 'grad_norm': 2.4854817390441895, 'learning_rate': 9.244604316546764e-06, 'epoch': 9.08} -{'loss': 0.4141, 'grad_norm': 4.034684658050537, 'learning_rate': 9.226618705035971e-06, 'epoch': 9.08} -{'loss': 0.423, 'grad_norm': 4.037903308868408, 'learning_rate': 9.20863309352518e-06, 'epoch': 9.08} -{'loss': 0.4161, 'grad_norm': 2.843926191329956, 'learning_rate': 9.190647482014388e-06, 'epoch': 9.08} -{'loss': 0.4018, 'grad_norm': 2.78358793258667, 'learning_rate': 9.172661870503598e-06, 'epoch': 9.08} - 91%|███████████████████████████████████████████████████████████████████████████████████▋ | 5070/5570 [1:21:03<06:50, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4357920289039612, 'eval_runtime': 1.5454, 'eval_samples_per_second': 465.887, 'eval_steps_per_second': 3.882, 'epoch': 9.08} -{'loss': 0.3995, 'grad_norm': 3.750385046005249, 'learning_rate': 9.154676258992805e-06, 'epoch': 9.09} -{'loss': 0.4096, 'grad_norm': 2.316744327545166, 'learning_rate': 9.136690647482015e-06, 'epoch': 9.09} -{'loss': 0.405, 'grad_norm': 3.3785786628723145, 'learning_rate': 9.118705035971223e-06, 'epoch': 9.09} -{'loss': 0.3931, 'grad_norm': 2.837730646133423, 'learning_rate': 9.100719424460432e-06, 'epoch': 9.09} -{'loss': 0.4065, 'grad_norm': 3.601595878601074, 'learning_rate': 9.082733812949641e-06, 'epoch': 9.09} -{'loss': 0.409, 'grad_norm': 2.629899024963379, 'learning_rate': 9.064748201438849e-06, 'epoch': 9.1} -{'loss': 0.4, 'grad_norm': 2.555654525756836, 'learning_rate': 9.046762589928058e-06, 'epoch': 9.1} -{'loss': 0.413, 'grad_norm': 2.174394369125366, 'learning_rate': 9.028776978417266e-06, 'epoch': 9.1} -{'loss': 0.418, 'grad_norm': 3.899808645248413, 'learning_rate': 9.010791366906476e-06, 'epoch': 9.1} -{'loss': 0.4019, 'grad_norm': 3.8229305744171143, 'learning_rate': 8.992805755395683e-06, 'epoch': 9.1} - 91%|███████████████████████████████████████████████████████████████████████████████████▉ | 5080/5570 [1:21:13<06:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43616023659706116, 'eval_runtime': 1.541, 'eval_samples_per_second': 467.232, 'eval_steps_per_second': 3.894, 'epoch': 9.1} -{'loss': 0.3994, 'grad_norm': 2.5571224689483643, 'learning_rate': 8.974820143884893e-06, 'epoch': 9.1} -{'loss': 0.4015, 'grad_norm': 3.9867184162139893, 'learning_rate': 8.956834532374102e-06, 'epoch': 9.11} -{'loss': 0.4175, 'grad_norm': 4.899606227874756, 'learning_rate': 8.93884892086331e-06, 'epoch': 9.11} -{'loss': 0.4051, 'grad_norm': 3.4383137226104736, 'learning_rate': 8.92086330935252e-06, 'epoch': 9.11} -{'loss': 0.4173, 'grad_norm': 3.9906997680664062, 'learning_rate': 8.902877697841727e-06, 'epoch': 9.11} -{'loss': 0.4039, 'grad_norm': 4.833061218261719, 'learning_rate': 8.884892086330936e-06, 'epoch': 9.11} -{'loss': 0.4038, 'grad_norm': 4.25221061706543, 'learning_rate': 8.866906474820144e-06, 'epoch': 9.11} -{'loss': 0.4094, 'grad_norm': 4.038392543792725, 'learning_rate': 8.848920863309353e-06, 'epoch': 9.12} -{'loss': 0.4022, 'grad_norm': 5.335931777954102, 'learning_rate': 8.830935251798561e-06, 'epoch': 9.12} -{'loss': 0.4253, 'grad_norm': 8.31551456451416, 'learning_rate': 8.812949640287769e-06, 'epoch': 9.12} - 91%|████████████████████████████████████████████████████████████████████████████████████ | 5090/5570 [1:21:23<06:34, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4383043944835663, 'eval_runtime': 1.5298, 'eval_samples_per_second': 470.643, 'eval_steps_per_second': 3.922, 'epoch': 9.12} -{'loss': 0.416, 'grad_norm': 6.966787338256836, 'learning_rate': 8.79496402877698e-06, 'epoch': 9.12} -{'loss': 0.4135, 'grad_norm': 5.52585506439209, 'learning_rate': 8.776978417266188e-06, 'epoch': 9.12} -{'loss': 0.4101, 'grad_norm': 4.7651686668396, 'learning_rate': 8.758992805755397e-06, 'epoch': 9.13} -{'loss': 0.4035, 'grad_norm': 5.457613945007324, 'learning_rate': 8.741007194244605e-06, 'epoch': 9.13} -{'loss': 0.4037, 'grad_norm': 3.2794222831726074, 'learning_rate': 8.723021582733812e-06, 'epoch': 9.13} -{'loss': 0.4054, 'grad_norm': 3.8261661529541016, 'learning_rate': 8.705035971223022e-06, 'epoch': 9.13} -{'loss': 0.4026, 'grad_norm': 3.5787196159362793, 'learning_rate': 8.68705035971223e-06, 'epoch': 9.13} -{'loss': 0.4133, 'grad_norm': 3.5349297523498535, 'learning_rate': 8.669064748201439e-06, 'epoch': 9.13} -{'loss': 0.4164, 'grad_norm': 3.340437412261963, 'learning_rate': 8.651079136690648e-06, 'epoch': 9.14} -{'loss': 0.4018, 'grad_norm': 1.928155779838562, 'learning_rate': 8.633093525179858e-06, 'epoch': 9.14} - 92%|████████████████████████████████████████████████████████████████████████████████████▏ | 5100/5570 [1:21:32<06:23, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43631070852279663, 'eval_runtime': 1.541, 'eval_samples_per_second': 467.218, 'eval_steps_per_second': 3.893, 'epoch': 9.14} -{'loss': 0.3976, 'grad_norm': 1.8032253980636597, 'learning_rate': 8.615107913669066e-06, 'epoch': 9.14} -{'loss': 0.4065, 'grad_norm': 2.5834901332855225, 'learning_rate': 8.597122302158273e-06, 'epoch': 9.14} -{'loss': 0.4056, 'grad_norm': 3.279799699783325, 'learning_rate': 8.579136690647483e-06, 'epoch': 9.14} -{'loss': 0.4067, 'grad_norm': 1.3352985382080078, 'learning_rate': 8.56115107913669e-06, 'epoch': 9.15} -{'loss': 0.4188, 'grad_norm': 2.054924964904785, 'learning_rate': 8.5431654676259e-06, 'epoch': 9.15} -{'loss': 0.4046, 'grad_norm': 3.43119215965271, 'learning_rate': 8.525179856115107e-06, 'epoch': 9.15} -{'loss': 0.4106, 'grad_norm': 4.490585803985596, 'learning_rate': 8.507194244604317e-06, 'epoch': 9.15} -{'loss': 0.4099, 'grad_norm': 3.7133662700653076, 'learning_rate': 8.489208633093526e-06, 'epoch': 9.15} -{'loss': 0.4098, 'grad_norm': 2.9683992862701416, 'learning_rate': 8.471223021582734e-06, 'epoch': 9.15} -{'loss': 0.3982, 'grad_norm': 2.3162639141082764, 'learning_rate': 8.453237410071943e-06, 'epoch': 9.16} - 92%|████████████████████████████████████████████████████████████████████████████████████▍ | 5110/5570 [1:21:42<06:18, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4379199147224426, 'eval_runtime': 1.5647, 'eval_samples_per_second': 460.161, 'eval_steps_per_second': 3.835, 'epoch': 9.16} -{'loss': 0.4056, 'grad_norm': 4.846658706665039, 'learning_rate': 8.435251798561151e-06, 'epoch': 9.16} -{'loss': 0.4023, 'grad_norm': 3.1591782569885254, 'learning_rate': 8.41726618705036e-06, 'epoch': 9.16} -{'loss': 0.3798, 'grad_norm': 3.744828224182129, 'learning_rate': 8.399280575539568e-06, 'epoch': 9.16} -{'loss': 0.4013, 'grad_norm': 1.8917193412780762, 'learning_rate': 8.381294964028778e-06, 'epoch': 9.16} -{'loss': 0.408, 'grad_norm': 4.165032863616943, 'learning_rate': 8.363309352517985e-06, 'epoch': 9.17} -{'loss': 0.3981, 'grad_norm': 2.0566790103912354, 'learning_rate': 8.345323741007195e-06, 'epoch': 9.17} -{'loss': 0.4015, 'grad_norm': 5.234320163726807, 'learning_rate': 8.327338129496404e-06, 'epoch': 9.17} -{'loss': 0.406, 'grad_norm': 4.075997352600098, 'learning_rate': 8.309352517985612e-06, 'epoch': 9.17} -{'loss': 0.4003, 'grad_norm': 3.52616024017334, 'learning_rate': 8.291366906474821e-06, 'epoch': 9.17} -{'loss': 0.4016, 'grad_norm': 5.040139675140381, 'learning_rate': 8.273381294964029e-06, 'epoch': 9.17} - 92%|████████████████████████████████████████████████████████████████████████████████████▌ | 5120/5570 [1:21:52<06:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4387769401073456, 'eval_runtime': 1.5477, 'eval_samples_per_second': 465.209, 'eval_steps_per_second': 3.877, 'epoch': 9.17} -{'loss': 0.3969, 'grad_norm': 5.043504238128662, 'learning_rate': 8.255395683453238e-06, 'epoch': 9.18} -{'loss': 0.4168, 'grad_norm': 2.9993879795074463, 'learning_rate': 8.237410071942446e-06, 'epoch': 9.18} -{'loss': 0.4147, 'grad_norm': 7.132309913635254, 'learning_rate': 8.219424460431654e-06, 'epoch': 9.18} -{'loss': 0.3907, 'grad_norm': 2.933946371078491, 'learning_rate': 8.201438848920865e-06, 'epoch': 9.18} -{'loss': 0.3958, 'grad_norm': 3.4369425773620605, 'learning_rate': 8.183453237410073e-06, 'epoch': 9.18} -{'loss': 0.4039, 'grad_norm': 3.7435054779052734, 'learning_rate': 8.165467625899282e-06, 'epoch': 9.18} -{'loss': 0.4037, 'grad_norm': 2.2716753482818604, 'learning_rate': 8.14748201438849e-06, 'epoch': 9.19} -{'loss': 0.3992, 'grad_norm': 4.660355567932129, 'learning_rate': 8.129496402877697e-06, 'epoch': 9.19} -{'loss': 0.3999, 'grad_norm': 4.239748954772949, 'learning_rate': 8.111510791366907e-06, 'epoch': 9.19} -{'loss': 0.4063, 'grad_norm': 2.2367124557495117, 'learning_rate': 8.093525179856114e-06, 'epoch': 9.19} - 92%|████████████████████████████████████████████████████████████████████████████████████▋ | 5130/5570 [1:22:01<05:58, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4372404217720032, 'eval_runtime': 1.549, 'eval_samples_per_second': 464.822, 'eval_steps_per_second': 3.874, 'epoch': 9.19} -{'loss': 0.4076, 'grad_norm': 1.8410261869430542, 'learning_rate': 8.075539568345324e-06, 'epoch': 9.19} -{'loss': 0.4057, 'grad_norm': 4.788854122161865, 'learning_rate': 8.057553956834532e-06, 'epoch': 9.2} -{'loss': 0.4108, 'grad_norm': 7.072490215301514, 'learning_rate': 8.039568345323743e-06, 'epoch': 9.2} -{'loss': 0.4107, 'grad_norm': 3.095280408859253, 'learning_rate': 8.02158273381295e-06, 'epoch': 9.2} -{'loss': 0.4139, 'grad_norm': 6.282314777374268, 'learning_rate': 8.003597122302158e-06, 'epoch': 9.2} -{'loss': 0.417, 'grad_norm': 8.268927574157715, 'learning_rate': 7.985611510791367e-06, 'epoch': 9.2} -{'loss': 0.4048, 'grad_norm': 3.976438283920288, 'learning_rate': 7.967625899280575e-06, 'epoch': 9.2} -{'loss': 0.4183, 'grad_norm': 5.03363561630249, 'learning_rate': 7.949640287769785e-06, 'epoch': 9.21} -{'loss': 0.4019, 'grad_norm': 2.9222254753112793, 'learning_rate': 7.931654676258992e-06, 'epoch': 9.21} -{'loss': 0.4086, 'grad_norm': 6.450695514678955, 'learning_rate': 7.913669064748202e-06, 'epoch': 9.21} - 92%|████████████████████████████████████████████████████████████████████████████████████▉ | 5140/5570 [1:22:11<05:51, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43865466117858887, 'eval_runtime': 1.5286, 'eval_samples_per_second': 471.011, 'eval_steps_per_second': 3.925, 'epoch': 9.21} -{'loss': 0.4094, 'grad_norm': 7.170647144317627, 'learning_rate': 7.895683453237411e-06, 'epoch': 9.21} -{'loss': 0.4009, 'grad_norm': 5.055183410644531, 'learning_rate': 7.877697841726619e-06, 'epoch': 9.21} -{'loss': 0.4028, 'grad_norm': 3.751089096069336, 'learning_rate': 7.859712230215828e-06, 'epoch': 9.22} -{'loss': 0.3961, 'grad_norm': 2.3370800018310547, 'learning_rate': 7.841726618705036e-06, 'epoch': 9.22} -{'loss': 0.4047, 'grad_norm': 5.105109691619873, 'learning_rate': 7.823741007194245e-06, 'epoch': 9.22} -{'loss': 0.4077, 'grad_norm': 5.4973320960998535, 'learning_rate': 7.805755395683453e-06, 'epoch': 9.22} -{'loss': 0.4033, 'grad_norm': 6.00291109085083, 'learning_rate': 7.787769784172662e-06, 'epoch': 9.22} -{'loss': 0.3915, 'grad_norm': 3.910508155822754, 'learning_rate': 7.76978417266187e-06, 'epoch': 9.22} -{'loss': 0.3998, 'grad_norm': 3.449739694595337, 'learning_rate': 7.75179856115108e-06, 'epoch': 9.23} -{'loss': 0.4042, 'grad_norm': 6.5169243812561035, 'learning_rate': 7.733812949640289e-06, 'epoch': 9.23} - 92%|█████████████████████████████████████████████████████████████████████████████████████ | 5150/5570 [1:22:20<05:43, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43943294882774353, 'eval_runtime': 1.5671, 'eval_samples_per_second': 459.434, 'eval_steps_per_second': 3.829, 'epoch': 9.23} -{'loss': 0.4129, 'grad_norm': 6.745192050933838, 'learning_rate': 7.715827338129497e-06, 'epoch': 9.23} -{'loss': 0.4067, 'grad_norm': 2.781978130340576, 'learning_rate': 7.697841726618706e-06, 'epoch': 9.23} -{'loss': 0.4048, 'grad_norm': 4.918160915374756, 'learning_rate': 7.679856115107914e-06, 'epoch': 9.23} -{'loss': 0.4072, 'grad_norm': 4.978126525878906, 'learning_rate': 7.661870503597123e-06, 'epoch': 9.24} -{'loss': 0.4053, 'grad_norm': 2.5272257328033447, 'learning_rate': 7.643884892086331e-06, 'epoch': 9.24} -{'loss': 0.4048, 'grad_norm': 4.994448661804199, 'learning_rate': 7.6258992805755395e-06, 'epoch': 9.24} -{'loss': 0.394, 'grad_norm': 1.8976492881774902, 'learning_rate': 7.607913669064748e-06, 'epoch': 9.24} -{'loss': 0.4063, 'grad_norm': 6.608147621154785, 'learning_rate': 7.589928057553957e-06, 'epoch': 9.24} -{'loss': 0.3937, 'grad_norm': 6.289633274078369, 'learning_rate': 7.571942446043166e-06, 'epoch': 9.24} -{'loss': 0.4146, 'grad_norm': 3.1348025798797607, 'learning_rate': 7.5539568345323745e-06, 'epoch': 9.25} - 93%|█████████████████████████████████████████████████████████████████████████████████████▏ | 5160/5570 [1:22:30<05:36, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43841981887817383, 'eval_runtime': 1.542, 'eval_samples_per_second': 466.921, 'eval_steps_per_second': 3.891, 'epoch': 9.25} -{'loss': 0.4157, 'grad_norm': 6.3132548332214355, 'learning_rate': 7.535971223021583e-06, 'epoch': 9.25} -{'loss': 0.4017, 'grad_norm': 6.403742790222168, 'learning_rate': 7.517985611510792e-06, 'epoch': 9.25} -{'loss': 0.4126, 'grad_norm': 5.041580677032471, 'learning_rate': 7.5e-06, 'epoch': 9.25} -{'loss': 0.4078, 'grad_norm': 2.5326032638549805, 'learning_rate': 7.482014388489209e-06, 'epoch': 9.25} -{'loss': 0.4069, 'grad_norm': 5.252422332763672, 'learning_rate': 7.464028776978417e-06, 'epoch': 9.25} -{'loss': 0.4029, 'grad_norm': 3.3414223194122314, 'learning_rate': 7.446043165467627e-06, 'epoch': 9.26} -{'loss': 0.4067, 'grad_norm': 3.251535177230835, 'learning_rate': 7.428057553956835e-06, 'epoch': 9.26} -{'loss': 0.4042, 'grad_norm': 1.9563206434249878, 'learning_rate': 7.410071942446044e-06, 'epoch': 9.26} -{'loss': 0.4024, 'grad_norm': 2.196337938308716, 'learning_rate': 7.392086330935252e-06, 'epoch': 9.26} -{'loss': 0.4104, 'grad_norm': 5.382941246032715, 'learning_rate': 7.374100719424461e-06, 'epoch': 9.26} - 93%|█████████████████████████████████████████████████████████████████████████████████████▍ | 5170/5570 [1:22:40<05:29, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4384753704071045, 'eval_runtime': 1.5588, 'eval_samples_per_second': 461.899, 'eval_steps_per_second': 3.849, 'epoch': 9.26} -{'loss': 0.4162, 'grad_norm': 4.717543125152588, 'learning_rate': 7.3561151079136695e-06, 'epoch': 9.27} -{'loss': 0.4032, 'grad_norm': 3.656874418258667, 'learning_rate': 7.338129496402878e-06, 'epoch': 9.27} -{'loss': 0.4169, 'grad_norm': 2.826964855194092, 'learning_rate': 7.320143884892086e-06, 'epoch': 9.27} -{'loss': 0.3998, 'grad_norm': 2.8293497562408447, 'learning_rate': 7.302158273381296e-06, 'epoch': 9.27} -{'loss': 0.4027, 'grad_norm': 3.214905023574829, 'learning_rate': 7.2841726618705045e-06, 'epoch': 9.27} -{'loss': 0.4004, 'grad_norm': 3.7105915546417236, 'learning_rate': 7.266187050359713e-06, 'epoch': 9.27} -{'loss': 0.4047, 'grad_norm': 2.7141571044921875, 'learning_rate': 7.248201438848922e-06, 'epoch': 9.28} -{'loss': 0.4043, 'grad_norm': 3.7781178951263428, 'learning_rate': 7.23021582733813e-06, 'epoch': 9.28} -{'loss': 0.402, 'grad_norm': 3.472935199737549, 'learning_rate': 7.212230215827338e-06, 'epoch': 9.28} -{'loss': 0.3986, 'grad_norm': 3.89042592048645, 'learning_rate': 7.1942446043165465e-06, 'epoch': 9.28} - 93%|█████████████████████████████████████████████████████████████████████████████████████▌ | 5180/5570 [1:22:49<05:19, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43841293454170227, 'eval_runtime': 1.5373, 'eval_samples_per_second': 468.344, 'eval_steps_per_second': 3.903, 'epoch': 9.28} -{'loss': 0.3995, 'grad_norm': 4.648653984069824, 'learning_rate': 7.176258992805755e-06, 'epoch': 9.28} -{'loss': 0.4045, 'grad_norm': 4.725134372711182, 'learning_rate': 7.158273381294964e-06, 'epoch': 9.29} -{'loss': 0.4015, 'grad_norm': 3.870502471923828, 'learning_rate': 7.140287769784174e-06, 'epoch': 9.29} -{'loss': 0.4155, 'grad_norm': 4.172140121459961, 'learning_rate': 7.122302158273382e-06, 'epoch': 9.29} -{'loss': 0.4069, 'grad_norm': 5.539617538452148, 'learning_rate': 7.10431654676259e-06, 'epoch': 9.29} -{'loss': 0.4107, 'grad_norm': 3.2891924381256104, 'learning_rate': 7.086330935251799e-06, 'epoch': 9.29} -{'loss': 0.3831, 'grad_norm': 4.38798189163208, 'learning_rate': 7.068345323741007e-06, 'epoch': 9.29} -{'loss': 0.4125, 'grad_norm': 6.891769886016846, 'learning_rate': 7.050359712230216e-06, 'epoch': 9.3} -{'loss': 0.4023, 'grad_norm': 7.88923454284668, 'learning_rate': 7.032374100719424e-06, 'epoch': 9.3} -{'loss': 0.4076, 'grad_norm': 6.3784871101379395, 'learning_rate': 7.014388489208633e-06, 'epoch': 9.3} - 93%|█████████████████████████████████████████████████████████████████████████████████████▋ | 5190/5570 [1:22:59<05:10, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4378877878189087, 'eval_runtime': 1.5271, 'eval_samples_per_second': 471.473, 'eval_steps_per_second': 3.929, 'epoch': 9.3} -{'loss': 0.4123, 'grad_norm': 4.30379581451416, 'learning_rate': 6.996402877697842e-06, 'epoch': 9.3} -{'loss': 0.4079, 'grad_norm': 4.368864059448242, 'learning_rate': 6.978417266187051e-06, 'epoch': 9.3} -{'loss': 0.4011, 'grad_norm': 3.6046814918518066, 'learning_rate': 6.960431654676259e-06, 'epoch': 9.31} -{'loss': 0.4006, 'grad_norm': 2.1704108715057373, 'learning_rate': 6.942446043165468e-06, 'epoch': 9.31} -{'loss': 0.4093, 'grad_norm': 3.8620309829711914, 'learning_rate': 6.9244604316546765e-06, 'epoch': 9.31} -{'loss': 0.4095, 'grad_norm': 6.333562850952148, 'learning_rate': 6.906474820143885e-06, 'epoch': 9.31} -{'loss': 0.4069, 'grad_norm': 6.9794721603393555, 'learning_rate': 6.888489208633094e-06, 'epoch': 9.31} -{'loss': 0.4163, 'grad_norm': 6.2366838455200195, 'learning_rate': 6.870503597122302e-06, 'epoch': 9.31} -{'loss': 0.3972, 'grad_norm': 7.975718021392822, 'learning_rate': 6.852517985611511e-06, 'epoch': 9.32} -{'loss': 0.4028, 'grad_norm': 4.891225814819336, 'learning_rate': 6.83453237410072e-06, 'epoch': 9.32} - 93%|█████████████████████████████████████████████████████████████████████████████████████▉ | 5200/5570 [1:23:08<05:03, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43784311413764954, 'eval_runtime': 1.5305, 'eval_samples_per_second': 470.435, 'eval_steps_per_second': 3.92, 'epoch': 9.32} -{'loss': 0.4129, 'grad_norm': 2.226005792617798, 'learning_rate': 6.816546762589929e-06, 'epoch': 9.32} -{'loss': 0.3962, 'grad_norm': 5.407374858856201, 'learning_rate': 6.798561151079137e-06, 'epoch': 9.32} -{'loss': 0.3989, 'grad_norm': 3.5036370754241943, 'learning_rate': 6.780575539568346e-06, 'epoch': 9.32} -{'loss': 0.4048, 'grad_norm': 2.669135093688965, 'learning_rate': 6.762589928057554e-06, 'epoch': 9.32} -{'loss': 0.4021, 'grad_norm': 3.1846747398376465, 'learning_rate': 6.744604316546763e-06, 'epoch': 9.33} -{'loss': 0.4055, 'grad_norm': 3.3241591453552246, 'learning_rate': 6.7266187050359715e-06, 'epoch': 9.33} -{'loss': 0.4025, 'grad_norm': 3.024427652359009, 'learning_rate': 6.708633093525179e-06, 'epoch': 9.33} -{'loss': 0.4139, 'grad_norm': 3.968095541000366, 'learning_rate': 6.690647482014389e-06, 'epoch': 9.33} -{'loss': 0.3951, 'grad_norm': 2.869281768798828, 'learning_rate': 6.672661870503598e-06, 'epoch': 9.33} -{'loss': 0.3975, 'grad_norm': 2.3713667392730713, 'learning_rate': 6.6546762589928065e-06, 'epoch': 9.34} - 94%|██████████████████████████████████████████████████████████████████████████████████████ | 5210/5570 [1:23:18<04:52, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4374527931213379, 'eval_runtime': 1.5458, 'eval_samples_per_second': 465.781, 'eval_steps_per_second': 3.882, 'epoch': 9.34} -{'loss': 0.3988, 'grad_norm': 3.060795545578003, 'learning_rate': 6.636690647482015e-06, 'epoch': 9.34} -{'loss': 0.4074, 'grad_norm': 4.183484077453613, 'learning_rate': 6.618705035971224e-06, 'epoch': 9.34} -{'loss': 0.402, 'grad_norm': 2.1693732738494873, 'learning_rate': 6.600719424460431e-06, 'epoch': 9.34} -{'loss': 0.4033, 'grad_norm': 5.153895854949951, 'learning_rate': 6.58273381294964e-06, 'epoch': 9.34} -{'loss': 0.4035, 'grad_norm': 3.1665031909942627, 'learning_rate': 6.5647482014388485e-06, 'epoch': 9.34} -{'loss': 0.4045, 'grad_norm': 1.24993896484375, 'learning_rate': 6.546762589928059e-06, 'epoch': 9.35} -{'loss': 0.4043, 'grad_norm': 3.159553050994873, 'learning_rate': 6.528776978417267e-06, 'epoch': 9.35} -{'loss': 0.3994, 'grad_norm': 2.0412726402282715, 'learning_rate': 6.510791366906476e-06, 'epoch': 9.35} -{'loss': 0.4068, 'grad_norm': 1.637904167175293, 'learning_rate': 6.4928057553956835e-06, 'epoch': 9.35} -{'loss': 0.402, 'grad_norm': 2.9717023372650146, 'learning_rate': 6.474820143884892e-06, 'epoch': 9.35} - 94%|██████████████████████████████████████████████████████████████████████████████████████▏ | 5220/5570 [1:23:28<04:45, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4379473328590393, 'eval_runtime': 1.5314, 'eval_samples_per_second': 470.153, 'eval_steps_per_second': 3.918, 'epoch': 9.35} -{'loss': 0.3975, 'grad_norm': 5.059500217437744, 'learning_rate': 6.456834532374101e-06, 'epoch': 9.36} -{'loss': 0.4061, 'grad_norm': 6.698511123657227, 'learning_rate': 6.438848920863309e-06, 'epoch': 9.36} -{'loss': 0.4182, 'grad_norm': 1.8152942657470703, 'learning_rate': 6.420863309352518e-06, 'epoch': 9.36} -{'loss': 0.4004, 'grad_norm': 2.467270612716675, 'learning_rate': 6.402877697841726e-06, 'epoch': 9.36} -{'loss': 0.3899, 'grad_norm': 3.0691142082214355, 'learning_rate': 6.384892086330936e-06, 'epoch': 9.36} -{'loss': 0.402, 'grad_norm': 6.612764835357666, 'learning_rate': 6.366906474820144e-06, 'epoch': 9.36} -{'loss': 0.4117, 'grad_norm': 6.29075813293457, 'learning_rate': 6.348920863309353e-06, 'epoch': 9.37} -{'loss': 0.3959, 'grad_norm': 5.1121416091918945, 'learning_rate': 6.330935251798561e-06, 'epoch': 9.37} -{'loss': 0.403, 'grad_norm': 3.0268030166625977, 'learning_rate': 6.31294964028777e-06, 'epoch': 9.37} -{'loss': 0.3987, 'grad_norm': 7.2129435539245605, 'learning_rate': 6.2949640287769785e-06, 'epoch': 9.37} - 94%|██████████████████████████████████████████████████████████████████████████████████████▍ | 5230/5570 [1:23:37<04:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4391615688800812, 'eval_runtime': 1.5341, 'eval_samples_per_second': 469.329, 'eval_steps_per_second': 3.911, 'epoch': 9.37} -{'loss': 0.4069, 'grad_norm': 9.063765525817871, 'learning_rate': 6.276978417266187e-06, 'epoch': 9.37} -{'loss': 0.4061, 'grad_norm': 7.497611999511719, 'learning_rate': 6.258992805755396e-06, 'epoch': 9.38} -{'loss': 0.4104, 'grad_norm': 6.931414604187012, 'learning_rate': 6.241007194244604e-06, 'epoch': 9.38} -{'loss': 0.402, 'grad_norm': 6.54022216796875, 'learning_rate': 6.223021582733813e-06, 'epoch': 9.38} -{'loss': 0.401, 'grad_norm': 4.06385612487793, 'learning_rate': 6.205035971223022e-06, 'epoch': 9.38} -{'loss': 0.3925, 'grad_norm': 4.531432628631592, 'learning_rate': 6.187050359712231e-06, 'epoch': 9.38} -{'loss': 0.4055, 'grad_norm': 4.947635650634766, 'learning_rate': 6.169064748201439e-06, 'epoch': 9.38} -{'loss': 0.4187, 'grad_norm': 7.902817726135254, 'learning_rate': 6.151079136690648e-06, 'epoch': 9.39} -{'loss': 0.4114, 'grad_norm': 11.543928146362305, 'learning_rate': 6.133093525179856e-06, 'epoch': 9.39} -{'loss': 0.4065, 'grad_norm': 7.453466892242432, 'learning_rate': 6.115107913669065e-06, 'epoch': 9.39} - 94%|██████████████████████████████████████████████████████████████████████████████████████▌ | 5240/5570 [1:23:47<04:31, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.44180887937545776, 'eval_runtime': 1.5337, 'eval_samples_per_second': 469.455, 'eval_steps_per_second': 3.912, 'epoch': 9.39} -{'loss': 0.4094, 'grad_norm': 7.217802047729492, 'learning_rate': 6.0971223021582734e-06, 'epoch': 9.39} -{'loss': 0.3987, 'grad_norm': 5.826960563659668, 'learning_rate': 6.079136690647482e-06, 'epoch': 9.39} -{'loss': 0.4021, 'grad_norm': 2.772909641265869, 'learning_rate': 6.061151079136691e-06, 'epoch': 9.39} -{'loss': 0.4047, 'grad_norm': 2.452481508255005, 'learning_rate': 6.0431654676259e-06, 'epoch': 9.4} -{'loss': 0.4185, 'grad_norm': 3.1739814281463623, 'learning_rate': 6.0251798561151085e-06, 'epoch': 9.4} -{'loss': 0.4046, 'grad_norm': 5.83880090713501, 'learning_rate': 6.007194244604317e-06, 'epoch': 9.4} -{'loss': 0.3942, 'grad_norm': 5.815672397613525, 'learning_rate': 5.989208633093525e-06, 'epoch': 9.4} -{'loss': 0.3995, 'grad_norm': 5.716380596160889, 'learning_rate': 5.971223021582734e-06, 'epoch': 9.4} -{'loss': 0.4074, 'grad_norm': 2.1019883155822754, 'learning_rate': 5.953237410071943e-06, 'epoch': 9.41} -{'loss': 0.3975, 'grad_norm': 3.4470715522766113, 'learning_rate': 5.935251798561151e-06, 'epoch': 9.41} - 94%|██████████████████████████████████████████████████████████████████████████████████████▋ | 5250/5570 [1:23:56<04:20, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4371904134750366, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.273, 'eval_steps_per_second': 3.919, 'epoch': 9.41} -{'loss': 0.4062, 'grad_norm': 4.80713415145874, 'learning_rate': 5.91726618705036e-06, 'epoch': 9.41} -{'loss': 0.4071, 'grad_norm': 2.7452855110168457, 'learning_rate': 5.899280575539569e-06, 'epoch': 9.41} -{'loss': 0.4022, 'grad_norm': 5.467430591583252, 'learning_rate': 5.881294964028777e-06, 'epoch': 9.41} -{'loss': 0.4113, 'grad_norm': 8.311131477355957, 'learning_rate': 5.8633093525179855e-06, 'epoch': 9.41} -{'loss': 0.409, 'grad_norm': 4.235293388366699, 'learning_rate': 5.845323741007194e-06, 'epoch': 9.42} -{'loss': 0.4143, 'grad_norm': 5.869192600250244, 'learning_rate': 5.8273381294964035e-06, 'epoch': 9.42} -{'loss': 0.3995, 'grad_norm': 6.206784248352051, 'learning_rate': 5.809352517985612e-06, 'epoch': 9.42} -{'loss': 0.4004, 'grad_norm': 4.654964447021484, 'learning_rate': 5.791366906474821e-06, 'epoch': 9.42} -{'loss': 0.4005, 'grad_norm': 4.074760913848877, 'learning_rate': 5.773381294964029e-06, 'epoch': 9.42} -{'loss': 0.4022, 'grad_norm': 1.7512881755828857, 'learning_rate': 5.755395683453238e-06, 'epoch': 9.43} - 94%|██████████████████████████████████████████████████████████████████████████████████████▉ | 5260/5570 [1:24:06<04:09, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4360325336456299, 'eval_runtime': 1.5272, 'eval_samples_per_second': 471.459, 'eval_steps_per_second': 3.929, 'epoch': 9.43} -{'loss': 0.4045, 'grad_norm': 3.7816431522369385, 'learning_rate': 5.737410071942446e-06, 'epoch': 9.43} -{'loss': 0.4082, 'grad_norm': 3.5019421577453613, 'learning_rate': 5.719424460431655e-06, 'epoch': 9.43} -{'loss': 0.402, 'grad_norm': 3.233891487121582, 'learning_rate': 5.701438848920863e-06, 'epoch': 9.43} -{'loss': 0.399, 'grad_norm': 4.676779270172119, 'learning_rate': 5.683453237410073e-06, 'epoch': 9.43} -{'loss': 0.4036, 'grad_norm': 1.5310245752334595, 'learning_rate': 5.665467625899281e-06, 'epoch': 9.43} -{'loss': 0.4047, 'grad_norm': 3.254720449447632, 'learning_rate': 5.64748201438849e-06, 'epoch': 9.44} -{'loss': 0.415, 'grad_norm': 2.527582883834839, 'learning_rate': 5.629496402877698e-06, 'epoch': 9.44} -{'loss': 0.4022, 'grad_norm': 3.258033275604248, 'learning_rate': 5.611510791366906e-06, 'epoch': 9.44} -{'loss': 0.4061, 'grad_norm': 3.6432607173919678, 'learning_rate': 5.5935251798561155e-06, 'epoch': 9.44} -{'loss': 0.3933, 'grad_norm': 5.585218906402588, 'learning_rate': 5.575539568345324e-06, 'epoch': 9.44} - 95%|███████████████████████████████████████████████████████████████████████████████████████ | 5270/5570 [1:24:15<04:05, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4364851713180542, 'eval_runtime': 1.5607, 'eval_samples_per_second': 461.33, 'eval_steps_per_second': 3.844, 'epoch': 9.44} -{'loss': 0.4065, 'grad_norm': 4.075047492980957, 'learning_rate': 5.557553956834533e-06, 'epoch': 9.45} -{'loss': 0.404, 'grad_norm': 3.8523881435394287, 'learning_rate': 5.539568345323741e-06, 'epoch': 9.45} -{'loss': 0.3964, 'grad_norm': 3.138559341430664, 'learning_rate': 5.52158273381295e-06, 'epoch': 9.45} -{'loss': 0.3916, 'grad_norm': 2.366684675216675, 'learning_rate': 5.503597122302158e-06, 'epoch': 9.45} -{'loss': 0.4141, 'grad_norm': 3.48508620262146, 'learning_rate': 5.485611510791367e-06, 'epoch': 9.45} -{'loss': 0.3993, 'grad_norm': 1.8041343688964844, 'learning_rate': 5.4676258992805754e-06, 'epoch': 9.45} -{'loss': 0.4003, 'grad_norm': 2.4747800827026367, 'learning_rate': 5.449640287769785e-06, 'epoch': 9.46} -{'loss': 0.4118, 'grad_norm': 1.9102879762649536, 'learning_rate': 5.431654676258993e-06, 'epoch': 9.46} -{'loss': 0.4098, 'grad_norm': 2.216782569885254, 'learning_rate': 5.413669064748202e-06, 'epoch': 9.46} -{'loss': 0.4085, 'grad_norm': 4.95184326171875, 'learning_rate': 5.3956834532374105e-06, 'epoch': 9.46} - 95%|███████████████████████████████████████████████████████████████████████████████████████▏ | 5280/5570 [1:24:25<03:56, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4381537437438965, 'eval_runtime': 1.5388, 'eval_samples_per_second': 467.887, 'eval_steps_per_second': 3.899, 'epoch': 9.46} -{'loss': 0.3975, 'grad_norm': 3.358325481414795, 'learning_rate': 5.377697841726619e-06, 'epoch': 9.46} -{'loss': 0.397, 'grad_norm': 4.574856281280518, 'learning_rate': 5.359712230215828e-06, 'epoch': 9.46} -{'loss': 0.4104, 'grad_norm': 3.198723793029785, 'learning_rate': 5.341726618705036e-06, 'epoch': 9.47} -{'loss': 0.4145, 'grad_norm': 3.328620195388794, 'learning_rate': 5.323741007194245e-06, 'epoch': 9.47} -{'loss': 0.4045, 'grad_norm': 4.7529296875, 'learning_rate': 5.305755395683454e-06, 'epoch': 9.47} -{'loss': 0.3935, 'grad_norm': 3.2941787242889404, 'learning_rate': 5.287769784172663e-06, 'epoch': 9.47} -{'loss': 0.4198, 'grad_norm': 4.780054569244385, 'learning_rate': 5.26978417266187e-06, 'epoch': 9.47} -{'loss': 0.419, 'grad_norm': 2.972743511199951, 'learning_rate': 5.251798561151079e-06, 'epoch': 9.48} -{'loss': 0.4117, 'grad_norm': 3.792102098464966, 'learning_rate': 5.2338129496402875e-06, 'epoch': 9.48} -{'loss': 0.4118, 'grad_norm': 3.4604413509368896, 'learning_rate': 5.215827338129497e-06, 'epoch': 9.48} - 95%|███████████████████████████████████████████████████████████████████████████████████████▍ | 5290/5570 [1:24:35<03:48, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43758711218833923, 'eval_runtime': 1.535, 'eval_samples_per_second': 469.062, 'eval_steps_per_second': 3.909, 'epoch': 9.48} -{'loss': 0.3999, 'grad_norm': 3.367025375366211, 'learning_rate': 5.1978417266187055e-06, 'epoch': 9.48} -{'loss': 0.3919, 'grad_norm': 3.8682589530944824, 'learning_rate': 5.179856115107914e-06, 'epoch': 9.48} -{'loss': 0.4021, 'grad_norm': 7.021374225616455, 'learning_rate': 5.1618705035971226e-06, 'epoch': 9.48} -{'loss': 0.4034, 'grad_norm': 3.873361349105835, 'learning_rate': 5.143884892086331e-06, 'epoch': 9.49} -{'loss': 0.3914, 'grad_norm': 5.551440238952637, 'learning_rate': 5.12589928057554e-06, 'epoch': 9.49} -{'loss': 0.4034, 'grad_norm': 1.974869966506958, 'learning_rate': 5.107913669064748e-06, 'epoch': 9.49} -{'loss': 0.4034, 'grad_norm': 4.222123622894287, 'learning_rate': 5.089928057553957e-06, 'epoch': 9.49} -{'loss': 0.4042, 'grad_norm': 5.61677360534668, 'learning_rate': 5.071942446043166e-06, 'epoch': 9.49} -{'loss': 0.3883, 'grad_norm': 5.075130939483643, 'learning_rate': 5.053956834532375e-06, 'epoch': 9.5} -{'loss': 0.4047, 'grad_norm': 2.757388114929199, 'learning_rate': 5.035971223021583e-06, 'epoch': 9.5} - 95%|███████████████████████████████████████████████████████████████████████████████████████▌ | 5300/5570 [1:24:44<03:41, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43763870000839233, 'eval_runtime': 1.5574, 'eval_samples_per_second': 462.322, 'eval_steps_per_second': 3.853, 'epoch': 9.5} -{'loss': 0.4007, 'grad_norm': 3.8585896492004395, 'learning_rate': 5.017985611510791e-06, 'epoch': 9.5} -{'loss': 0.4032, 'grad_norm': 3.5672786235809326, 'learning_rate': 5e-06, 'epoch': 9.5} -{'loss': 0.4102, 'grad_norm': 4.188449382781982, 'learning_rate': 4.982014388489209e-06, 'epoch': 9.5} -{'loss': 0.4045, 'grad_norm': 6.677482604980469, 'learning_rate': 4.9640287769784175e-06, 'epoch': 9.5} -{'loss': 0.3993, 'grad_norm': 1.946691632270813, 'learning_rate': 4.946043165467626e-06, 'epoch': 9.51} -{'loss': 0.4069, 'grad_norm': 4.362326145172119, 'learning_rate': 4.9280575539568355e-06, 'epoch': 9.51} -{'loss': 0.4056, 'grad_norm': 4.700511932373047, 'learning_rate': 4.910071942446043e-06, 'epoch': 9.51} -{'loss': 0.4069, 'grad_norm': 1.7594380378723145, 'learning_rate': 4.892086330935252e-06, 'epoch': 9.51} -{'loss': 0.4014, 'grad_norm': 1.793961763381958, 'learning_rate': 4.87410071942446e-06, 'epoch': 9.51} -{'loss': 0.4108, 'grad_norm': 2.220710277557373, 'learning_rate': 4.85611510791367e-06, 'epoch': 9.52} - 95%|███████████████████████████████████████████████████████████████████████████████████████▋ | 5310/5570 [1:24:54<03:34, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4365597665309906, 'eval_runtime': 1.5359, 'eval_samples_per_second': 468.782, 'eval_steps_per_second': 3.907, 'epoch': 9.52} -{'loss': 0.4028, 'grad_norm': 2.832139015197754, 'learning_rate': 4.838129496402878e-06, 'epoch': 9.52} -{'loss': 0.3956, 'grad_norm': 4.652824878692627, 'learning_rate': 4.820143884892087e-06, 'epoch': 9.52} -{'loss': 0.4044, 'grad_norm': 3.731884002685547, 'learning_rate': 4.802158273381295e-06, 'epoch': 9.52} -{'loss': 0.4023, 'grad_norm': 4.428146839141846, 'learning_rate': 4.784172661870504e-06, 'epoch': 9.52} -{'loss': 0.3952, 'grad_norm': 1.8712494373321533, 'learning_rate': 4.7661870503597125e-06, 'epoch': 9.52} -{'loss': 0.4225, 'grad_norm': 2.253909111022949, 'learning_rate': 4.748201438848921e-06, 'epoch': 9.53} -{'loss': 0.4017, 'grad_norm': 1.7948561906814575, 'learning_rate': 4.73021582733813e-06, 'epoch': 9.53} -{'loss': 0.4073, 'grad_norm': 2.223726272583008, 'learning_rate': 4.712230215827338e-06, 'epoch': 9.53} -{'loss': 0.4036, 'grad_norm': 1.069790244102478, 'learning_rate': 4.6942446043165475e-06, 'epoch': 9.53} -{'loss': 0.4057, 'grad_norm': 2.43650221824646, 'learning_rate': 4.676258992805756e-06, 'epoch': 9.53} - 96%|███████████████████████████████████████████████████████████████████████████████████████▊ | 5320/5570 [1:25:03<03:25, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4370710551738739, 'eval_runtime': 1.5491, 'eval_samples_per_second': 464.785, 'eval_steps_per_second': 3.873, 'epoch': 9.53} -{'loss': 0.3954, 'grad_norm': 3.881448268890381, 'learning_rate': 4.658273381294964e-06, 'epoch': 9.54} -{'loss': 0.3967, 'grad_norm': 4.925286293029785, 'learning_rate': 4.640287769784172e-06, 'epoch': 9.54} -{'loss': 0.3966, 'grad_norm': 4.822122573852539, 'learning_rate': 4.622302158273382e-06, 'epoch': 9.54} -{'loss': 0.4041, 'grad_norm': 4.966220855712891, 'learning_rate': 4.60431654676259e-06, 'epoch': 9.54} -{'loss': 0.4074, 'grad_norm': 2.511322259902954, 'learning_rate': 4.586330935251799e-06, 'epoch': 9.54} -{'loss': 0.4021, 'grad_norm': 3.7012600898742676, 'learning_rate': 4.5683453237410074e-06, 'epoch': 9.54} -{'loss': 0.4029, 'grad_norm': 2.490173578262329, 'learning_rate': 4.550359712230216e-06, 'epoch': 9.55} -{'loss': 0.3976, 'grad_norm': 2.998229503631592, 'learning_rate': 4.5323741007194245e-06, 'epoch': 9.55} -{'loss': 0.4048, 'grad_norm': 2.6493232250213623, 'learning_rate': 4.514388489208633e-06, 'epoch': 9.55} -{'loss': 0.4051, 'grad_norm': 3.3364226818084717, 'learning_rate': 4.496402877697842e-06, 'epoch': 9.55} - 96%|████████████████████████████████████████████████████████████████████████████████████████ | 5330/5570 [1:25:13<03:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.437119722366333, 'eval_runtime': 1.5367, 'eval_samples_per_second': 468.539, 'eval_steps_per_second': 3.904, 'epoch': 9.55} -{'loss': 0.4028, 'grad_norm': 1.601764440536499, 'learning_rate': 4.478417266187051e-06, 'epoch': 9.55} -{'loss': 0.4078, 'grad_norm': 1.3491594791412354, 'learning_rate': 4.46043165467626e-06, 'epoch': 9.55} -{'loss': 0.4133, 'grad_norm': 2.923110008239746, 'learning_rate': 4.442446043165468e-06, 'epoch': 9.56} -{'loss': 0.4144, 'grad_norm': 3.5849149227142334, 'learning_rate': 4.424460431654677e-06, 'epoch': 9.56} -{'loss': 0.3964, 'grad_norm': 5.715359210968018, 'learning_rate': 4.4064748201438844e-06, 'epoch': 9.56} -{'loss': 0.4101, 'grad_norm': 3.8533341884613037, 'learning_rate': 4.388489208633094e-06, 'epoch': 9.56} -{'loss': 0.4044, 'grad_norm': 5.930508613586426, 'learning_rate': 4.370503597122302e-06, 'epoch': 9.56} -{'loss': 0.385, 'grad_norm': 4.660130023956299, 'learning_rate': 4.352517985611511e-06, 'epoch': 9.57} -{'loss': 0.391, 'grad_norm': 2.294586181640625, 'learning_rate': 4.3345323741007195e-06, 'epoch': 9.57} -{'loss': 0.4071, 'grad_norm': 1.140764832496643, 'learning_rate': 4.316546762589929e-06, 'epoch': 9.57} - 96%|████████████████████████████████████████████████████████████████████████████████████████▏ | 5340/5570 [1:25:23<03:08, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4379006326198578, 'eval_runtime': 1.5305, 'eval_samples_per_second': 470.438, 'eval_steps_per_second': 3.92, 'epoch': 9.57} -{'loss': 0.4015, 'grad_norm': 5.217124938964844, 'learning_rate': 4.298561151079137e-06, 'epoch': 9.57} -{'loss': 0.4096, 'grad_norm': 2.9365737438201904, 'learning_rate': 4.280575539568345e-06, 'epoch': 9.57} -{'loss': 0.4015, 'grad_norm': 2.762061357498169, 'learning_rate': 4.262589928057554e-06, 'epoch': 9.57} -{'loss': 0.4089, 'grad_norm': 2.8168256282806396, 'learning_rate': 4.244604316546763e-06, 'epoch': 9.58} -{'loss': 0.3984, 'grad_norm': 3.0093955993652344, 'learning_rate': 4.226618705035972e-06, 'epoch': 9.58} -{'loss': 0.397, 'grad_norm': 2.6165993213653564, 'learning_rate': 4.20863309352518e-06, 'epoch': 9.58} -{'loss': 0.4061, 'grad_norm': 2.6054413318634033, 'learning_rate': 4.190647482014389e-06, 'epoch': 9.58} -{'loss': 0.393, 'grad_norm': 2.9877796173095703, 'learning_rate': 4.172661870503597e-06, 'epoch': 9.58} -{'loss': 0.3894, 'grad_norm': 4.640302658081055, 'learning_rate': 4.154676258992806e-06, 'epoch': 9.59} -{'loss': 0.4065, 'grad_norm': 4.579472064971924, 'learning_rate': 4.1366906474820145e-06, 'epoch': 9.59} - 96%|████████████████████████████████████████████████████████████████████████████████████████▎ | 5350/5570 [1:25:32<02:57, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43944910168647766, 'eval_runtime': 1.5455, 'eval_samples_per_second': 465.872, 'eval_steps_per_second': 3.882, 'epoch': 9.59} -{'loss': 0.4176, 'grad_norm': 8.94263744354248, 'learning_rate': 4.118705035971223e-06, 'epoch': 9.59} -{'loss': 0.3948, 'grad_norm': 5.806400775909424, 'learning_rate': 4.100719424460432e-06, 'epoch': 9.59} -{'loss': 0.4024, 'grad_norm': 2.0180842876434326, 'learning_rate': 4.082733812949641e-06, 'epoch': 9.59} -{'loss': 0.4066, 'grad_norm': 1.4671599864959717, 'learning_rate': 4.064748201438849e-06, 'epoch': 9.59} -{'loss': 0.4041, 'grad_norm': 3.1136484146118164, 'learning_rate': 4.046762589928057e-06, 'epoch': 9.6} -{'loss': 0.3929, 'grad_norm': 3.1970205307006836, 'learning_rate': 4.028776978417266e-06, 'epoch': 9.6} -{'loss': 0.3999, 'grad_norm': 3.7695364952087402, 'learning_rate': 4.010791366906475e-06, 'epoch': 9.6} -{'loss': 0.4231, 'grad_norm': 1.8820148706436157, 'learning_rate': 3.992805755395684e-06, 'epoch': 9.6} -{'loss': 0.413, 'grad_norm': 3.2354300022125244, 'learning_rate': 3.974820143884892e-06, 'epoch': 9.6} -{'loss': 0.3958, 'grad_norm': 3.9283459186553955, 'learning_rate': 3.956834532374101e-06, 'epoch': 9.61} - 96%|████████████████████████████████████████████████████████████████████████████████████████▌ | 5360/5570 [1:25:42<02:52, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.437838077545166, 'eval_runtime': 1.5315, 'eval_samples_per_second': 470.131, 'eval_steps_per_second': 3.918, 'epoch': 9.61} -{'loss': 0.4063, 'grad_norm': 4.660007476806641, 'learning_rate': 3.938848920863309e-06, 'epoch': 9.61} -{'loss': 0.393, 'grad_norm': 2.2539265155792236, 'learning_rate': 3.920863309352518e-06, 'epoch': 9.61} -{'loss': 0.4007, 'grad_norm': 3.482553243637085, 'learning_rate': 3.9028776978417265e-06, 'epoch': 9.61} -{'loss': 0.4091, 'grad_norm': 4.760851860046387, 'learning_rate': 3.884892086330935e-06, 'epoch': 9.61} -{'loss': 0.3944, 'grad_norm': 1.9753507375717163, 'learning_rate': 3.8669064748201445e-06, 'epoch': 9.61} -{'loss': 0.3989, 'grad_norm': 4.50653600692749, 'learning_rate': 3.848920863309353e-06, 'epoch': 9.62} -{'loss': 0.4027, 'grad_norm': 4.000456809997559, 'learning_rate': 3.830935251798562e-06, 'epoch': 9.62} -{'loss': 0.4101, 'grad_norm': 5.074925899505615, 'learning_rate': 3.8129496402877697e-06, 'epoch': 9.62} -{'loss': 0.4016, 'grad_norm': 3.6540284156799316, 'learning_rate': 3.7949640287769787e-06, 'epoch': 9.62} -{'loss': 0.409, 'grad_norm': 2.4795053005218506, 'learning_rate': 3.7769784172661873e-06, 'epoch': 9.62} - 96%|████████████████████████████████████████████████████████████████████████████████████████▋ | 5370/5570 [1:25:51<02:44, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43704715371131897, 'eval_runtime': 1.531, 'eval_samples_per_second': 470.283, 'eval_steps_per_second': 3.919, 'epoch': 9.62} -{'loss': 0.3875, 'grad_norm': 4.343732833862305, 'learning_rate': 3.758992805755396e-06, 'epoch': 9.62} -{'loss': 0.4086, 'grad_norm': 5.097548961639404, 'learning_rate': 3.7410071942446044e-06, 'epoch': 9.63} -{'loss': 0.4069, 'grad_norm': 4.02484130859375, 'learning_rate': 3.7230215827338134e-06, 'epoch': 9.63} -{'loss': 0.3998, 'grad_norm': 3.745666027069092, 'learning_rate': 3.705035971223022e-06, 'epoch': 9.63} -{'loss': 0.4083, 'grad_norm': 2.4171571731567383, 'learning_rate': 3.6870503597122305e-06, 'epoch': 9.63} -{'loss': 0.3942, 'grad_norm': 4.147159099578857, 'learning_rate': 3.669064748201439e-06, 'epoch': 9.63} -{'loss': 0.4084, 'grad_norm': 2.7897746562957764, 'learning_rate': 3.651079136690648e-06, 'epoch': 9.64} -{'loss': 0.4057, 'grad_norm': 1.9382895231246948, 'learning_rate': 3.6330935251798566e-06, 'epoch': 9.64} -{'loss': 0.4088, 'grad_norm': 3.273883819580078, 'learning_rate': 3.615107913669065e-06, 'epoch': 9.64} -{'loss': 0.4054, 'grad_norm': 2.592391014099121, 'learning_rate': 3.5971223021582732e-06, 'epoch': 9.64} - 97%|████████████████████████████████████████████████████████████████████████████████████████▊ | 5380/5570 [1:26:01<02:35, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43619367480278015, 'eval_runtime': 1.5344, 'eval_samples_per_second': 469.253, 'eval_steps_per_second': 3.91, 'epoch': 9.64} -{'loss': 0.4023, 'grad_norm': 4.451713562011719, 'learning_rate': 3.579136690647482e-06, 'epoch': 9.64} -{'loss': 0.3951, 'grad_norm': 3.3490488529205322, 'learning_rate': 3.561151079136691e-06, 'epoch': 9.64} -{'loss': 0.4109, 'grad_norm': 4.766150951385498, 'learning_rate': 3.5431654676258993e-06, 'epoch': 9.65} -{'loss': 0.4027, 'grad_norm': 2.110751152038574, 'learning_rate': 3.525179856115108e-06, 'epoch': 9.65} -{'loss': 0.3905, 'grad_norm': 2.7538678646087646, 'learning_rate': 3.5071942446043164e-06, 'epoch': 9.65} -{'loss': 0.4078, 'grad_norm': 2.3557863235473633, 'learning_rate': 3.4892086330935254e-06, 'epoch': 9.65} -{'loss': 0.3866, 'grad_norm': 3.0287837982177734, 'learning_rate': 3.471223021582734e-06, 'epoch': 9.65} -{'loss': 0.3915, 'grad_norm': 1.7611669301986694, 'learning_rate': 3.4532374100719425e-06, 'epoch': 9.66} -{'loss': 0.4038, 'grad_norm': 4.796805381774902, 'learning_rate': 3.435251798561151e-06, 'epoch': 9.66} -{'loss': 0.4021, 'grad_norm': 1.8850600719451904, 'learning_rate': 3.41726618705036e-06, 'epoch': 9.66} - 97%|█████████████████████████████████████████████████████████████████████████████████████████ | 5390/5570 [1:26:10<02:27, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4369960427284241, 'eval_runtime': 1.5272, 'eval_samples_per_second': 471.44, 'eval_steps_per_second': 3.929, 'epoch': 9.66} -{'loss': 0.3956, 'grad_norm': 3.346442222595215, 'learning_rate': 3.3992805755395686e-06, 'epoch': 9.66} -{'loss': 0.4054, 'grad_norm': 3.396092414855957, 'learning_rate': 3.381294964028777e-06, 'epoch': 9.66} -{'loss': 0.407, 'grad_norm': 2.543097496032715, 'learning_rate': 3.3633093525179857e-06, 'epoch': 9.66} -{'loss': 0.4101, 'grad_norm': 3.8574421405792236, 'learning_rate': 3.3453237410071947e-06, 'epoch': 9.67} -{'loss': 0.3967, 'grad_norm': 2.700820207595825, 'learning_rate': 3.3273381294964033e-06, 'epoch': 9.67} -{'loss': 0.4022, 'grad_norm': 3.306575298309326, 'learning_rate': 3.309352517985612e-06, 'epoch': 9.67} -{'loss': 0.4131, 'grad_norm': 3.421942710876465, 'learning_rate': 3.29136690647482e-06, 'epoch': 9.67} -{'loss': 0.4084, 'grad_norm': 2.5802133083343506, 'learning_rate': 3.2733812949640294e-06, 'epoch': 9.67} -{'loss': 0.3952, 'grad_norm': 1.6709870100021362, 'learning_rate': 3.255395683453238e-06, 'epoch': 9.68} -{'loss': 0.4116, 'grad_norm': 4.0236639976501465, 'learning_rate': 3.237410071942446e-06, 'epoch': 9.68} - 97%|█████████████████████████████████████████████████████████████████████████████████████████▏ | 5400/5570 [1:26:20<02:20, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4365081787109375, 'eval_runtime': 1.5382, 'eval_samples_per_second': 468.083, 'eval_steps_per_second': 3.901, 'epoch': 9.68} -{'loss': 0.4069, 'grad_norm': 6.39122200012207, 'learning_rate': 3.2194244604316546e-06, 'epoch': 9.68} -{'loss': 0.4121, 'grad_norm': 6.4720258712768555, 'learning_rate': 3.201438848920863e-06, 'epoch': 9.68} -{'loss': 0.3932, 'grad_norm': 5.042935371398926, 'learning_rate': 3.183453237410072e-06, 'epoch': 9.68} -{'loss': 0.404, 'grad_norm': 2.7089662551879883, 'learning_rate': 3.1654676258992807e-06, 'epoch': 9.68} -{'loss': 0.4163, 'grad_norm': 4.241430282592773, 'learning_rate': 3.1474820143884892e-06, 'epoch': 9.69} -{'loss': 0.4149, 'grad_norm': 2.8147194385528564, 'learning_rate': 3.129496402877698e-06, 'epoch': 9.69} -{'loss': 0.4047, 'grad_norm': 2.985724449157715, 'learning_rate': 3.1115107913669064e-06, 'epoch': 9.69} -{'loss': 0.4142, 'grad_norm': 3.4801361560821533, 'learning_rate': 3.0935251798561153e-06, 'epoch': 9.69} -{'loss': 0.4006, 'grad_norm': 2.573054552078247, 'learning_rate': 3.075539568345324e-06, 'epoch': 9.69} -{'loss': 0.3991, 'grad_norm': 2.0086607933044434, 'learning_rate': 3.0575539568345324e-06, 'epoch': 9.69} - 97%|█████████████████████████████████████████████████████████████████████████████████████████▎ | 5410/5570 [1:26:30<02:11, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43640950322151184, 'eval_runtime': 1.539, 'eval_samples_per_second': 467.824, 'eval_steps_per_second': 3.899, 'epoch': 9.69} -{'loss': 0.4011, 'grad_norm': 3.2980399131774902, 'learning_rate': 3.039568345323741e-06, 'epoch': 9.7} -{'loss': 0.4126, 'grad_norm': 2.680142402648926, 'learning_rate': 3.02158273381295e-06, 'epoch': 9.7} -{'loss': 0.4103, 'grad_norm': 1.808333158493042, 'learning_rate': 3.0035971223021585e-06, 'epoch': 9.7} -{'loss': 0.39, 'grad_norm': 4.295925617218018, 'learning_rate': 2.985611510791367e-06, 'epoch': 9.7} -{'loss': 0.4035, 'grad_norm': 1.4443353414535522, 'learning_rate': 2.9676258992805756e-06, 'epoch': 9.7} -{'loss': 0.392, 'grad_norm': 2.002742052078247, 'learning_rate': 2.9496402877697846e-06, 'epoch': 9.71} -{'loss': 0.3937, 'grad_norm': 3.712582588195801, 'learning_rate': 2.9316546762589928e-06, 'epoch': 9.71} -{'loss': 0.4054, 'grad_norm': 1.9348350763320923, 'learning_rate': 2.9136690647482017e-06, 'epoch': 9.71} -{'loss': 0.3935, 'grad_norm': 1.6472382545471191, 'learning_rate': 2.8956834532374103e-06, 'epoch': 9.71} -{'loss': 0.4024, 'grad_norm': 3.9011240005493164, 'learning_rate': 2.877697841726619e-06, 'epoch': 9.71} - 97%|█████████████████████████████████████████████████████████████████████████████████████████▌ | 5420/5570 [1:26:39<02:01, 1.24it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43641382455825806, 'eval_runtime': 1.5384, 'eval_samples_per_second': 468.007, 'eval_steps_per_second': 3.9, 'epoch': 9.71} -{'loss': 0.4056, 'grad_norm': 2.102713108062744, 'learning_rate': 2.8597122302158274e-06, 'epoch': 9.71} -{'loss': 0.4083, 'grad_norm': 3.0993669033050537, 'learning_rate': 2.8417266187050364e-06, 'epoch': 9.72} -{'loss': 0.3981, 'grad_norm': 1.954899549484253, 'learning_rate': 2.823741007194245e-06, 'epoch': 9.72} -{'loss': 0.4002, 'grad_norm': 3.423672914505005, 'learning_rate': 2.805755395683453e-06, 'epoch': 9.72} -{'loss': 0.4084, 'grad_norm': 1.734217643737793, 'learning_rate': 2.787769784172662e-06, 'epoch': 9.72} -{'loss': 0.3956, 'grad_norm': 3.725922107696533, 'learning_rate': 2.7697841726618706e-06, 'epoch': 9.72} -{'loss': 0.4018, 'grad_norm': 3.9658329486846924, 'learning_rate': 2.751798561151079e-06, 'epoch': 9.73} -{'loss': 0.3989, 'grad_norm': 2.3685851097106934, 'learning_rate': 2.7338129496402877e-06, 'epoch': 9.73} -{'loss': 0.4131, 'grad_norm': 2.496654987335205, 'learning_rate': 2.7158273381294967e-06, 'epoch': 9.73} -{'loss': 0.4045, 'grad_norm': 2.1241605281829834, 'learning_rate': 2.6978417266187052e-06, 'epoch': 9.73} - 97%|█████████████████████████████████████████████████████████████████████████████████████████▋ | 5430/5570 [1:26:49<01:54, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4364718496799469, 'eval_runtime': 1.5267, 'eval_samples_per_second': 471.597, 'eval_steps_per_second': 3.93, 'epoch': 9.73} -{'loss': 0.3944, 'grad_norm': 2.6171112060546875, 'learning_rate': 2.679856115107914e-06, 'epoch': 9.73} -{'loss': 0.4048, 'grad_norm': 2.9454433917999268, 'learning_rate': 2.6618705035971224e-06, 'epoch': 9.73} -{'loss': 0.4075, 'grad_norm': 4.480701923370361, 'learning_rate': 2.6438848920863313e-06, 'epoch': 9.74} -{'loss': 0.3931, 'grad_norm': 4.380486011505127, 'learning_rate': 2.6258992805755395e-06, 'epoch': 9.74} -{'loss': 0.4008, 'grad_norm': 3.281904458999634, 'learning_rate': 2.6079136690647484e-06, 'epoch': 9.74} -{'loss': 0.4067, 'grad_norm': 3.215345621109009, 'learning_rate': 2.589928057553957e-06, 'epoch': 9.74} -{'loss': 0.4066, 'grad_norm': 1.5284605026245117, 'learning_rate': 2.5719424460431656e-06, 'epoch': 9.74} -{'loss': 0.4042, 'grad_norm': 3.4270894527435303, 'learning_rate': 2.553956834532374e-06, 'epoch': 9.75} -{'loss': 0.4126, 'grad_norm': 2.617537498474121, 'learning_rate': 2.535971223021583e-06, 'epoch': 9.75} -{'loss': 0.38, 'grad_norm': 2.5140345096588135, 'learning_rate': 2.5179856115107916e-06, 'epoch': 9.75} - 98%|█████████████████████████████████████████████████████████████████████████████████████████▊ | 5440/5570 [1:26:58<01:46, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4360908567905426, 'eval_runtime': 1.5397, 'eval_samples_per_second': 467.625, 'eval_steps_per_second': 3.897, 'epoch': 9.75} -{'loss': 0.4006, 'grad_norm': 3.894204616546631, 'learning_rate': 2.5e-06, 'epoch': 9.75} -{'loss': 0.3835, 'grad_norm': 2.1837351322174072, 'learning_rate': 2.4820143884892088e-06, 'epoch': 9.75} -{'loss': 0.393, 'grad_norm': 4.048117160797119, 'learning_rate': 2.4640287769784177e-06, 'epoch': 9.75} -{'loss': 0.4018, 'grad_norm': 2.696413040161133, 'learning_rate': 2.446043165467626e-06, 'epoch': 9.76} -{'loss': 0.4149, 'grad_norm': 1.70877206325531, 'learning_rate': 2.428057553956835e-06, 'epoch': 9.76} -{'loss': 0.4218, 'grad_norm': 3.1197311878204346, 'learning_rate': 2.4100719424460434e-06, 'epoch': 9.76} -{'loss': 0.4041, 'grad_norm': 3.0331172943115234, 'learning_rate': 2.392086330935252e-06, 'epoch': 9.76} -{'loss': 0.4029, 'grad_norm': 5.219906806945801, 'learning_rate': 2.3741007194244605e-06, 'epoch': 9.76} -{'loss': 0.4051, 'grad_norm': 4.52467155456543, 'learning_rate': 2.356115107913669e-06, 'epoch': 9.76} -{'loss': 0.3977, 'grad_norm': 3.0304489135742188, 'learning_rate': 2.338129496402878e-06, 'epoch': 9.77} - 98%|██████████████████████████████████████████████████████████████████████████████████████████ | 5450/5570 [1:27:08<01:37, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4358641803264618, 'eval_runtime': 1.5414, 'eval_samples_per_second': 467.115, 'eval_steps_per_second': 3.893, 'epoch': 9.77} -{'loss': 0.4158, 'grad_norm': 3.041930675506592, 'learning_rate': 2.320143884892086e-06, 'epoch': 9.77} -{'loss': 0.4127, 'grad_norm': 4.74495267868042, 'learning_rate': 2.302158273381295e-06, 'epoch': 9.77} -{'loss': 0.3901, 'grad_norm': 2.5235471725463867, 'learning_rate': 2.2841726618705037e-06, 'epoch': 9.77} -{'loss': 0.4022, 'grad_norm': 3.8671998977661133, 'learning_rate': 2.2661870503597123e-06, 'epoch': 9.77} -{'loss': 0.3999, 'grad_norm': 2.116101026535034, 'learning_rate': 2.248201438848921e-06, 'epoch': 9.78} -{'loss': 0.401, 'grad_norm': 3.9478442668914795, 'learning_rate': 2.23021582733813e-06, 'epoch': 9.78} -{'loss': 0.401, 'grad_norm': 3.1082563400268555, 'learning_rate': 2.2122302158273384e-06, 'epoch': 9.78} -{'loss': 0.4026, 'grad_norm': 2.900512218475342, 'learning_rate': 2.194244604316547e-06, 'epoch': 9.78} -{'loss': 0.3954, 'grad_norm': 5.510542392730713, 'learning_rate': 2.1762589928057555e-06, 'epoch': 9.78} -{'loss': 0.3993, 'grad_norm': 3.681464195251465, 'learning_rate': 2.1582733812949645e-06, 'epoch': 9.78} - 98%|██████████████████████████████████████████████████████████████████████████████████████████▏ | 5460/5570 [1:27:18<01:29, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43700850009918213, 'eval_runtime': 1.5434, 'eval_samples_per_second': 466.488, 'eval_steps_per_second': 3.887, 'epoch': 9.78} -{'loss': 0.3952, 'grad_norm': 4.832159519195557, 'learning_rate': 2.1402877697841726e-06, 'epoch': 9.79} -{'loss': 0.4022, 'grad_norm': 4.524014949798584, 'learning_rate': 2.1223021582733816e-06, 'epoch': 9.79} -{'loss': 0.4, 'grad_norm': 4.527525424957275, 'learning_rate': 2.10431654676259e-06, 'epoch': 9.79} -{'loss': 0.4131, 'grad_norm': 1.7273738384246826, 'learning_rate': 2.0863309352517987e-06, 'epoch': 9.79} -{'loss': 0.3899, 'grad_norm': 2.2047245502471924, 'learning_rate': 2.0683453237410072e-06, 'epoch': 9.79} -{'loss': 0.3916, 'grad_norm': 2.957667112350464, 'learning_rate': 2.050359712230216e-06, 'epoch': 9.8} -{'loss': 0.3974, 'grad_norm': 2.7690236568450928, 'learning_rate': 2.0323741007194243e-06, 'epoch': 9.8} -{'loss': 0.4096, 'grad_norm': 5.098557949066162, 'learning_rate': 2.014388489208633e-06, 'epoch': 9.8} -{'loss': 0.4047, 'grad_norm': 3.9561994075775146, 'learning_rate': 1.996402877697842e-06, 'epoch': 9.8} -{'loss': 0.4059, 'grad_norm': 4.094827175140381, 'learning_rate': 1.9784172661870504e-06, 'epoch': 9.8} - 98%|██████████████████████████████████████████████████████████████████████████████████████████▎ | 5470/5570 [1:27:27<01:21, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4364267885684967, 'eval_runtime': 1.5422, 'eval_samples_per_second': 466.853, 'eval_steps_per_second': 3.89, 'epoch': 9.8} -{'loss': 0.406, 'grad_norm': 4.0062174797058105, 'learning_rate': 1.960431654676259e-06, 'epoch': 9.8} -{'loss': 0.4044, 'grad_norm': 3.3644471168518066, 'learning_rate': 1.9424460431654675e-06, 'epoch': 9.81} -{'loss': 0.4043, 'grad_norm': 2.8705153465270996, 'learning_rate': 1.9244604316546765e-06, 'epoch': 9.81} -{'loss': 0.4058, 'grad_norm': 2.7002336978912354, 'learning_rate': 1.9064748201438849e-06, 'epoch': 9.81} -{'loss': 0.4117, 'grad_norm': 2.004718780517578, 'learning_rate': 1.8884892086330936e-06, 'epoch': 9.81} -{'loss': 0.3981, 'grad_norm': 3.906827688217163, 'learning_rate': 1.8705035971223022e-06, 'epoch': 9.81} -{'loss': 0.403, 'grad_norm': 6.591823577880859, 'learning_rate': 1.852517985611511e-06, 'epoch': 9.82} -{'loss': 0.392, 'grad_norm': 2.88789963722229, 'learning_rate': 1.8345323741007195e-06, 'epoch': 9.82} -{'loss': 0.4108, 'grad_norm': 2.236335277557373, 'learning_rate': 1.8165467625899283e-06, 'epoch': 9.82} -{'loss': 0.3896, 'grad_norm': 1.3661056756973267, 'learning_rate': 1.7985611510791366e-06, 'epoch': 9.82} - 98%|██████████████████████████████████████████████████████████████████████████████████████████▌ | 5480/5570 [1:27:37<01:14, 1.21it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.436247855424881, 'eval_runtime': 1.5459, 'eval_samples_per_second': 465.759, 'eval_steps_per_second': 3.881, 'epoch': 9.82} -{'loss': 0.4103, 'grad_norm': 1.6900534629821777, 'learning_rate': 1.7805755395683456e-06, 'epoch': 9.82} -{'loss': 0.4097, 'grad_norm': 3.4508373737335205, 'learning_rate': 1.762589928057554e-06, 'epoch': 9.82} -{'loss': 0.4038, 'grad_norm': 2.9447457790374756, 'learning_rate': 1.7446043165467627e-06, 'epoch': 9.83} -{'loss': 0.3976, 'grad_norm': 3.820787191390991, 'learning_rate': 1.7266187050359713e-06, 'epoch': 9.83} -{'loss': 0.4037, 'grad_norm': 1.732799768447876, 'learning_rate': 1.70863309352518e-06, 'epoch': 9.83} -{'loss': 0.3981, 'grad_norm': 2.3862380981445312, 'learning_rate': 1.6906474820143886e-06, 'epoch': 9.83} -{'loss': 0.3962, 'grad_norm': 3.891956090927124, 'learning_rate': 1.6726618705035974e-06, 'epoch': 9.83} -{'loss': 0.3938, 'grad_norm': 1.9926064014434814, 'learning_rate': 1.654676258992806e-06, 'epoch': 9.83} -{'loss': 0.409, 'grad_norm': 2.7249608039855957, 'learning_rate': 1.6366906474820147e-06, 'epoch': 9.84} -{'loss': 0.4129, 'grad_norm': 2.308945894241333, 'learning_rate': 1.618705035971223e-06, 'epoch': 9.84} - 99%|██████████████████████████████████████████████████████████████████████████████████████████▋ | 5490/5570 [1:27:46<01:05, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43655815720558167, 'eval_runtime': 1.5441, 'eval_samples_per_second': 466.303, 'eval_steps_per_second': 3.886, 'epoch': 9.84} -{'loss': 0.3979, 'grad_norm': 2.656031608581543, 'learning_rate': 1.6007194244604316e-06, 'epoch': 9.84} -{'loss': 0.3999, 'grad_norm': 2.885432243347168, 'learning_rate': 1.5827338129496403e-06, 'epoch': 9.84} -{'loss': 0.4005, 'grad_norm': 2.7444796562194824, 'learning_rate': 1.564748201438849e-06, 'epoch': 9.84} -{'loss': 0.4025, 'grad_norm': 4.872830867767334, 'learning_rate': 1.5467625899280577e-06, 'epoch': 9.85} -{'loss': 0.4036, 'grad_norm': 1.9361618757247925, 'learning_rate': 1.5287769784172662e-06, 'epoch': 9.85} -{'loss': 0.4051, 'grad_norm': 2.7579095363616943, 'learning_rate': 1.510791366906475e-06, 'epoch': 9.85} -{'loss': 0.4076, 'grad_norm': 2.3213143348693848, 'learning_rate': 1.4928057553956835e-06, 'epoch': 9.85} -{'loss': 0.406, 'grad_norm': 1.7513610124588013, 'learning_rate': 1.4748201438848923e-06, 'epoch': 9.85} -{'loss': 0.4023, 'grad_norm': 3.504638910293579, 'learning_rate': 1.4568345323741009e-06, 'epoch': 9.85} -{'loss': 0.4096, 'grad_norm': 3.1781158447265625, 'learning_rate': 1.4388489208633094e-06, 'epoch': 9.86} - 99%|██████████████████████████████████████████████████████████████████████████████████████████▊ | 5500/5570 [1:27:56<00:57, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4363921284675598, 'eval_runtime': 1.5377, 'eval_samples_per_second': 468.23, 'eval_steps_per_second': 3.902, 'epoch': 9.86} -{'loss': 0.4105, 'grad_norm': 6.395454406738281, 'learning_rate': 1.4208633093525182e-06, 'epoch': 9.86} -{'loss': 0.3976, 'grad_norm': 2.394913673400879, 'learning_rate': 1.4028776978417265e-06, 'epoch': 9.86} -{'loss': 0.3975, 'grad_norm': 1.6479871273040771, 'learning_rate': 1.3848920863309353e-06, 'epoch': 9.86} -{'loss': 0.405, 'grad_norm': 0.9873229265213013, 'learning_rate': 1.3669064748201439e-06, 'epoch': 9.86} -{'loss': 0.3987, 'grad_norm': 2.748805046081543, 'learning_rate': 1.3489208633093526e-06, 'epoch': 9.87} -{'loss': 0.3932, 'grad_norm': 3.1107137203216553, 'learning_rate': 1.3309352517985612e-06, 'epoch': 9.87} -{'loss': 0.4028, 'grad_norm': 3.7277708053588867, 'learning_rate': 1.3129496402877697e-06, 'epoch': 9.87} -{'loss': 0.3995, 'grad_norm': 3.45354962348938, 'learning_rate': 1.2949640287769785e-06, 'epoch': 9.87} -{'loss': 0.3931, 'grad_norm': 2.1579086780548096, 'learning_rate': 1.276978417266187e-06, 'epoch': 9.87} -{'loss': 0.4024, 'grad_norm': 2.9507133960723877, 'learning_rate': 1.2589928057553958e-06, 'epoch': 9.87} - 99%|███████████████████████████████████████████████████████████████████████████████████████████ | 5510/5570 [1:28:06<00:49, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43568649888038635, 'eval_runtime': 1.5396, 'eval_samples_per_second': 467.65, 'eval_steps_per_second': 3.897, 'epoch': 9.87} -{'loss': 0.419, 'grad_norm': 2.7699341773986816, 'learning_rate': 1.2410071942446044e-06, 'epoch': 9.88} -{'loss': 0.4018, 'grad_norm': 2.37011981010437, 'learning_rate': 1.223021582733813e-06, 'epoch': 9.88} -{'loss': 0.4009, 'grad_norm': 3.367827892303467, 'learning_rate': 1.2050359712230217e-06, 'epoch': 9.88} -{'loss': 0.4025, 'grad_norm': 2.507148265838623, 'learning_rate': 1.1870503597122303e-06, 'epoch': 9.88} -{'loss': 0.4158, 'grad_norm': 2.624185562133789, 'learning_rate': 1.169064748201439e-06, 'epoch': 9.88} -{'loss': 0.3988, 'grad_norm': 3.1621603965759277, 'learning_rate': 1.1510791366906476e-06, 'epoch': 9.89} -{'loss': 0.4037, 'grad_norm': 3.3278920650482178, 'learning_rate': 1.1330935251798561e-06, 'epoch': 9.89} -{'loss': 0.4065, 'grad_norm': 3.1137120723724365, 'learning_rate': 1.115107913669065e-06, 'epoch': 9.89} -{'loss': 0.392, 'grad_norm': 1.8294175863265991, 'learning_rate': 1.0971223021582735e-06, 'epoch': 9.89} -{'loss': 0.3885, 'grad_norm': 2.548222541809082, 'learning_rate': 1.0791366906474822e-06, 'epoch': 9.89} - 99%|███████████████████████████████████████████████████████████████████████████████████████████▏| 5520/5570 [1:28:15<00:40, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4359748065471649, 'eval_runtime': 1.5496, 'eval_samples_per_second': 464.626, 'eval_steps_per_second': 3.872, 'epoch': 9.89} -{'loss': 0.4058, 'grad_norm': 2.3642327785491943, 'learning_rate': 1.0611510791366908e-06, 'epoch': 9.89} -{'loss': 0.3977, 'grad_norm': 2.139698028564453, 'learning_rate': 1.0431654676258993e-06, 'epoch': 9.9} -{'loss': 0.4048, 'grad_norm': 2.8482894897460938, 'learning_rate': 1.025179856115108e-06, 'epoch': 9.9} -{'loss': 0.4165, 'grad_norm': 2.7444772720336914, 'learning_rate': 1.0071942446043164e-06, 'epoch': 9.9} -{'loss': 0.4063, 'grad_norm': 2.7149810791015625, 'learning_rate': 9.892086330935252e-07, 'epoch': 9.9} -{'loss': 0.4148, 'grad_norm': 2.79580020904541, 'learning_rate': 9.712230215827338e-07, 'epoch': 9.9} -{'loss': 0.3971, 'grad_norm': 3.319389581680298, 'learning_rate': 9.532374100719424e-07, 'epoch': 9.9} -{'loss': 0.4088, 'grad_norm': 1.7123955488204956, 'learning_rate': 9.352517985611511e-07, 'epoch': 9.91} -{'loss': 0.4066, 'grad_norm': 4.482529640197754, 'learning_rate': 9.172661870503598e-07, 'epoch': 9.91} -{'loss': 0.4096, 'grad_norm': 2.2137668132781982, 'learning_rate': 8.992805755395683e-07, 'epoch': 9.91} - 99%|███████████████████████████████████████████████████████████████████████████████████████████▎| 5530/5570 [1:28:25<00:32, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43588757514953613, 'eval_runtime': 1.54, 'eval_samples_per_second': 467.52, 'eval_steps_per_second': 3.896, 'epoch': 9.91} -{'loss': 0.4038, 'grad_norm': 2.6584482192993164, 'learning_rate': 8.81294964028777e-07, 'epoch': 9.91} -{'loss': 0.4096, 'grad_norm': 2.147569417953491, 'learning_rate': 8.633093525179856e-07, 'epoch': 9.91} -{'loss': 0.3976, 'grad_norm': 4.426583766937256, 'learning_rate': 8.453237410071943e-07, 'epoch': 9.92} -{'loss': 0.4014, 'grad_norm': 1.2322998046875, 'learning_rate': 8.27338129496403e-07, 'epoch': 9.92} -{'loss': 0.3894, 'grad_norm': 2.140814781188965, 'learning_rate': 8.093525179856115e-07, 'epoch': 9.92} -{'loss': 0.416, 'grad_norm': 1.3685390949249268, 'learning_rate': 7.913669064748202e-07, 'epoch': 9.92} -{'loss': 0.4004, 'grad_norm': 2.869011163711548, 'learning_rate': 7.733812949640288e-07, 'epoch': 9.92} -{'loss': 0.4074, 'grad_norm': 3.762507677078247, 'learning_rate': 7.553956834532375e-07, 'epoch': 9.92} -{'loss': 0.3976, 'grad_norm': 2.2338056564331055, 'learning_rate': 7.374100719424462e-07, 'epoch': 9.93} -{'loss': 0.4088, 'grad_norm': 2.776644229888916, 'learning_rate': 7.194244604316547e-07, 'epoch': 9.93} - 99%|███████████████████████████████████████████████████████████████████████████████████████████▌| 5540/5570 [1:28:34<00:24, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.436275452375412, 'eval_runtime': 1.5342, 'eval_samples_per_second': 469.304, 'eval_steps_per_second': 3.911, 'epoch': 9.93} -{'loss': 0.4046, 'grad_norm': 1.506210207939148, 'learning_rate': 7.014388489208633e-07, 'epoch': 9.93} -{'loss': 0.3997, 'grad_norm': 1.662482738494873, 'learning_rate': 6.834532374100719e-07, 'epoch': 9.93} -{'loss': 0.3961, 'grad_norm': 3.3246865272521973, 'learning_rate': 6.654676258992806e-07, 'epoch': 9.93} -{'loss': 0.4028, 'grad_norm': 1.277949333190918, 'learning_rate': 6.474820143884893e-07, 'epoch': 9.94} -{'loss': 0.3966, 'grad_norm': 1.8406682014465332, 'learning_rate': 6.294964028776979e-07, 'epoch': 9.94} -{'loss': 0.4107, 'grad_norm': 1.7309520244598389, 'learning_rate': 6.115107913669065e-07, 'epoch': 9.94} -{'loss': 0.4036, 'grad_norm': 1.8649299144744873, 'learning_rate': 5.935251798561151e-07, 'epoch': 9.94} -{'loss': 0.4036, 'grad_norm': 3.108104705810547, 'learning_rate': 5.755395683453238e-07, 'epoch': 9.94} -{'loss': 0.4055, 'grad_norm': 3.9754271507263184, 'learning_rate': 5.575539568345325e-07, 'epoch': 9.94} -{'loss': 0.398, 'grad_norm': 2.66614031791687, 'learning_rate': 5.395683453237411e-07, 'epoch': 9.95} -100%|███████████████████████████████████████████████████████████████████████████████████████████▋| 5550/5570 [1:28:44<00:16, 1.22it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.43570250272750854, 'eval_runtime': 1.5274, 'eval_samples_per_second': 471.404, 'eval_steps_per_second': 3.928, 'epoch': 9.95} -{'loss': 0.4022, 'grad_norm': 1.7116304636001587, 'learning_rate': 5.215827338129497e-07, 'epoch': 9.95} -{'loss': 0.4125, 'grad_norm': 3.614628553390503, 'learning_rate': 5.035971223021582e-07, 'epoch': 9.95} -{'loss': 0.4188, 'grad_norm': 1.7866452932357788, 'learning_rate': 4.856115107913669e-07, 'epoch': 9.95} -{'loss': 0.4053, 'grad_norm': 2.744788885116577, 'learning_rate': 4.6762589928057555e-07, 'epoch': 9.95} -{'loss': 0.3947, 'grad_norm': 3.6579031944274902, 'learning_rate': 4.4964028776978415e-07, 'epoch': 9.96} -{'loss': 0.4149, 'grad_norm': 3.0055761337280273, 'learning_rate': 4.316546762589928e-07, 'epoch': 9.96} -{'loss': 0.3922, 'grad_norm': 2.0974514484405518, 'learning_rate': 4.136690647482015e-07, 'epoch': 9.96} -{'loss': 0.3964, 'grad_norm': 2.8730809688568115, 'learning_rate': 3.956834532374101e-07, 'epoch': 9.96} -{'loss': 0.3912, 'grad_norm': 3.1636078357696533, 'learning_rate': 3.7769784172661875e-07, 'epoch': 9.96} -{'loss': 0.4036, 'grad_norm': 2.2793233394622803, 'learning_rate': 3.5971223021582736e-07, 'epoch': 9.96} -100%|███████████████████████████████████████████████████████████████████████████████████████████▊| 5560/5570 [1:28:53<00:08, 1.23it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4364435076713562, 'eval_runtime': 1.5357, 'eval_samples_per_second': 468.829, 'eval_steps_per_second': 3.907, 'epoch': 9.96} -{'loss': 0.4039, 'grad_norm': 2.9393632411956787, 'learning_rate': 3.4172661870503596e-07, 'epoch': 9.97} -{'loss': 0.3846, 'grad_norm': 2.8300669193267822, 'learning_rate': 3.237410071942446e-07, 'epoch': 9.97} -{'loss': 0.3944, 'grad_norm': 2.2453606128692627, 'learning_rate': 3.0575539568345323e-07, 'epoch': 9.97} -{'loss': 0.3985, 'grad_norm': 2.9046671390533447, 'learning_rate': 2.877697841726619e-07, 'epoch': 9.97} -{'loss': 0.3876, 'grad_norm': 1.8658349514007568, 'learning_rate': 2.6978417266187056e-07, 'epoch': 9.97} -{'loss': 0.4073, 'grad_norm': 1.669221043586731, 'learning_rate': 2.517985611510791e-07, 'epoch': 9.97} -{'loss': 0.3993, 'grad_norm': 1.8253967761993408, 'learning_rate': 2.3381294964028777e-07, 'epoch': 9.98} -{'loss': 0.3994, 'grad_norm': 4.417233943939209, 'learning_rate': 2.158273381294964e-07, 'epoch': 9.98} -{'loss': 0.4082, 'grad_norm': 2.3827054500579834, 'learning_rate': 1.9784172661870504e-07, 'epoch': 9.98} -{'loss': 0.4061, 'grad_norm': 1.4107314348220825, 'learning_rate': 1.7985611510791368e-07, 'epoch': 9.98} -100%|████████████████████████████████████████████████████████████████████████████████████████████| 5570/5570 [1:29:02<00:00, 1.59it/s]Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -Trainer.tokenizer is now deprecated. You should use Trainer.processing_class instead. -{'eval_loss': 0.4360825717449188, 'eval_runtime': 1.5475, 'eval_samples_per_second': 465.274, 'eval_steps_per_second': 3.877, 'epoch': 9.98} -{'loss': 0.3961, 'grad_norm': 2.968081474304199, 'learning_rate': 1.618705035971223e-07, 'epoch': 9.98} -{'loss': 0.3969, 'grad_norm': 1.7189878225326538, 'learning_rate': 1.4388489208633095e-07, 'epoch': 9.99} -{'loss': 0.41, 'grad_norm': 2.507514715194702, 'learning_rate': 1.2589928057553956e-07, 'epoch': 9.99} -{'loss': 0.3949, 'grad_norm': 1.6192700862884521, 'learning_rate': 1.079136690647482e-07, 'epoch': 9.99} -{'loss': 0.3933, 'grad_norm': 3.289064645767212, 'learning_rate': 8.992805755395684e-08, 'epoch': 9.99} -{'loss': 0.4103, 'grad_norm': 4.173926830291748, 'learning_rate': 7.194244604316547e-08, 'epoch': 9.99} -{'loss': 0.3986, 'grad_norm': 2.9642603397369385, 'learning_rate': 5.39568345323741e-08, 'epoch': 9.99} -{'loss': 0.4022, 'grad_norm': 2.0270676612854004, 'learning_rate': 3.597122302158274e-08, 'epoch': 10.0} -{'loss': 0.4058, 'grad_norm': 2.2013092041015625, 'learning_rate': 1.798561151079137e-08, 'epoch': 10.0} -{'loss': 0.3723, 'grad_norm': 9.269118309020996, 'learning_rate': 0.0, 'epoch': 10.0} -100%|████████████████████████████████████████████████████████████████████████████████████████████| 5570/5570 [1:29:05<00:00, 1.04it/s] - -{'eval_loss': 0.43582069873809814, 'eval_runtime': 1.5409, 'eval_samples_per_second': 467.274, 'eval_steps_per_second': 3.894, 'epoch': 10.0} -{'train_runtime': 5345.9591, 'train_samples_per_second': 133.175, 'train_steps_per_second': 1.042, 'train_loss': 0.45569551713376755, 'epoch': 10.0} diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-metadata.json b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-metadata.json deleted file mode 100644 index 0f15f6855dbf59d105274e04c9789a59f3522ed9..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-metadata.json +++ /dev/null @@ -1,55 +0,0 @@ -{ - "os": "Linux-6.8.0-139-generic-x86_64-with-glibc2.39", - "python": "3.9.20", - "startedAt": "2026-09-25T02:18:09.197032Z", - "args": [ - "--config-path", - "config/lang_source", - "--config-name", - "llmbc_llm_box-close-v2_expsplit0.02-manual.yaml" - ], - "program": "/tmp2/chyang/workspace/LLM-BC/./train.py", - "codePath": "train.py", - "git": { - "remote": "https://github.com/CHYang25/LLM-BC.git", - "commit": "bcc6d2d49ccef92086119a895296181115011909" - }, - "email": "chris920325@gmail.com", - "root": "/tmp2/chyang/workspace/LLM-BC/data/outputs/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2", - "host": "A6000-2", - "username": "chyang", - "executable": "/home/chyang/miniconda3/envs/llm-bc/bin/python3", - "codePathLocal": "train.py", - "cpu_count": 12, - "cpu_count_logical": 24, - "gpu": "NVIDIA RTX A6000", - "gpu_count": 2, - "disk": { - "/": { - "total": "1967317549056", - "used": "1248259727360" - } - }, - "memory": { - "total": "134538055680" - }, - "cpu": { - "count": 12, - "countLogical": 24 - }, - "gpu_nvidia": [ - { - "name": "NVIDIA RTX A6000", - "memoryTotal": "51527024640", - "cudaCores": 10752, - "architecture": "Ampere" - }, - { - "name": "NVIDIA RTX A6000", - "memoryTotal": "51527024640", - "cudaCores": 10752, - "architecture": "Ampere" - } - ], - "cudaVersion": "12.6" -} \ No newline at end of file diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-summary.json b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-summary.json deleted file mode 100644 index 96b154d5a88b592203450f3674cb5035c669ba64..0000000000000000000000000000000000000000 --- a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/files/wandb-summary.json +++ /dev/null @@ -1 +0,0 @@ -{"eval/loss":0.43582069873809814,"_step":6127,"eval/steps_per_second":3.894,"train_steps_per_second":1.042,"train/global_step":5570,"train/grad_norm":9.269118309020996,"eval/samples_per_second":467.274,"train/loss":0.3723,"train/learning_rate":0,"_timestamp":1.79030807475608e+09,"_runtime":5385.559116694,"eval/runtime":1.5409,"total_flos":6.28070372070912e+16,"train_samples_per_second":133.175,"_wandb":{"runtime":5385},"train_loss":0.45569551713376755,"train_runtime":5345.9591,"train/epoch":10} \ No newline at end of file diff --git a/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/logs/debug-core.log b/2026.09.25/10.18.04_train_llm_lowdim_box-close-v2/wandb/run-20260925_101809-igdu8mgl/logs/debug-core.log deleted file mode 100644 index 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