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Distinguisher_PTCV/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/root/autodl-tmp
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save":
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"qkv_proj",
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"o_proj",
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"gate_up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/root/autodl-tmp",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"embed_tokens",
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"lm_head"
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],
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"qkv_proj",
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"gate_up_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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Distinguisher_PTCV/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c326209645cf82455cd23e251067e8e8d9ac0bfe61771c65100ccab6f7c929ce
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size 1424796984
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Distinguisher_RC/README.md
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---
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base_model: /root/autodl-tmp
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library_name: peft
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license: other
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tags:
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- lora
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [/root/autodl-tmp
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## Model description
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- train_batch_size: 3
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- total_eval_batch_size: 48
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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---
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base_model: /root/autodl-tmp
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library_name: peft
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license: other
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tags:
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- lora
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- generated_from_trainer
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model-index:
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- name: task2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# task2
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This model is a fine-tuned version of [/root/autodl-tmp](https://huggingface.co//root/autodl-tmp) on the task2_hwt_no and the task2_lgt_yes datasets.
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## Model description
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- train_batch_size: 3
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 24
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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Distinguisher_RC/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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-
"base_model_name_or_path": "/root/autodl-tmp
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"o_proj",
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"gate_up_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/root/autodl-tmp",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"qkv_proj",
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"o_proj",
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"gate_up_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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Distinguisher_RC/adapter_model.safetensors
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Distinguisher_RC/training_args.bin
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