Add m1_proposer_answer round 4 Solver weights
Browse files- .gitattributes +1 -0
- m1_proposer_answer/round_4/args.json +556 -0
- m1_proposer_answer/round_4/chat_template.jinja +154 -0
- m1_proposer_answer/round_4/config.json +117 -0
- m1_proposer_answer/round_4/generation_config.json +9 -0
- m1_proposer_answer/round_4/model-00001-of-00004.safetensors +3 -0
- m1_proposer_answer/round_4/model-00002-of-00004.safetensors +3 -0
- m1_proposer_answer/round_4/model-00003-of-00004.safetensors +3 -0
- m1_proposer_answer/round_4/model-00004-of-00004.safetensors +3 -0
- m1_proposer_answer/round_4/model.safetensors.index.json +768 -0
- m1_proposer_answer/round_4/preprocessor_config.json +21 -0
- m1_proposer_answer/round_4/processor_config.json +61 -0
- m1_proposer_answer/round_4/tokenizer.json +3 -0
- m1_proposer_answer/round_4/tokenizer_config.json +33 -0
- m1_proposer_answer/round_4/trainer_state.json +2454 -0
.gitattributes
CHANGED
|
@@ -64,3 +64,4 @@ m1_proposer_answer/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
| 64 |
c5_no_curriculum/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
a1_api_proposer/round_2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
m2_gpt_answer/round_4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 64 |
c5_no_curriculum/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
a1_api_proposer/round_2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
m2_gpt_answer/round_4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
m1_proposer_answer/round_4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
m1_proposer_answer/round_4/args.json
ADDED
|
@@ -0,0 +1,556 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver",
|
| 3 |
+
"per_device_train_batch_size": 1,
|
| 4 |
+
"num_train_epochs": 3.0,
|
| 5 |
+
"max_steps": 160,
|
| 6 |
+
"learning_rate": 1e-06,
|
| 7 |
+
"lr_scheduler_type": "cosine",
|
| 8 |
+
"lr_scheduler_kwargs": null,
|
| 9 |
+
"warmup_steps": 0,
|
| 10 |
+
"optim": "adamw_torch_fused",
|
| 11 |
+
"optim_args": null,
|
| 12 |
+
"weight_decay": 0.1,
|
| 13 |
+
"adam_beta1": 0.9,
|
| 14 |
+
"adam_beta2": 0.95,
|
| 15 |
+
"adam_epsilon": 1e-08,
|
| 16 |
+
"optim_target_modules": null,
|
| 17 |
+
"gradient_accumulation_steps": 8,
|
| 18 |
+
"average_tokens_across_devices": true,
|
| 19 |
+
"max_grad_norm": 1.0,
|
| 20 |
+
"label_smoothing_factor": 0.0,
|
| 21 |
+
"bf16": true,
|
| 22 |
+
"fp16": false,
|
| 23 |
+
"bf16_full_eval": false,
|
| 24 |
+
"fp16_full_eval": false,
|
| 25 |
+
"tf32": null,
|
| 26 |
+
"gradient_checkpointing": true,
|
| 27 |
+
"gradient_checkpointing_kwargs": null,
|
| 28 |
+
"torch_compile": false,
|
| 29 |
+
"torch_compile_backend": null,
|
| 30 |
+
"torch_compile_mode": null,
|
| 31 |
+
"use_liger_kernel": false,
|
| 32 |
+
"liger_kernel_config": null,
|
| 33 |
+
"use_cache": false,
|
| 34 |
+
"neftune_noise_alpha": null,
|
| 35 |
+
"torch_empty_cache_steps": null,
|
| 36 |
+
"auto_find_batch_size": false,
|
| 37 |
+
"logging_strategy": "steps",
|
| 38 |
+
"logging_steps": 1,
|
| 39 |
+
"logging_first_step": true,
|
| 40 |
+
"log_on_each_node": true,
|
| 41 |
+
"logging_nan_inf_filter": true,
|
| 42 |
+
"include_num_input_tokens_seen": false,
|
| 43 |
+
"log_level": "passive",
|
| 44 |
+
"log_level_replica": "warning",
|
| 45 |
+
"disable_tqdm": null,
|
| 46 |
+
"report_to": [
|
| 47 |
+
"tensorboard"
|
| 48 |
+
],
|
| 49 |
+
"run_name": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver",
|
| 50 |
+
"project": "huggingface",
|
| 51 |
+
"trackio_space_id": null,
|
| 52 |
+
"trackio_bucket_id": null,
|
| 53 |
+
"trackio_static_space_id": null,
|
| 54 |
+
"eval_strategy": "no",
|
| 55 |
+
"eval_steps": 16.0,
|
| 56 |
+
"eval_delay": 0,
|
| 57 |
+
"per_device_eval_batch_size": 1,
|
| 58 |
+
"prediction_loss_only": false,
|
| 59 |
+
"eval_on_start": false,
|
| 60 |
+
"eval_do_concat_batches": true,
|
| 61 |
+
"eval_use_gather_object": false,
|
| 62 |
+
"eval_accumulation_steps": null,
|
| 63 |
+
"include_for_metrics": [],
|
| 64 |
+
"batch_eval_metrics": false,
|
| 65 |
+
"save_only_model": false,
|
| 66 |
+
"save_strategy": "steps",
|
| 67 |
+
"save_steps": 16.0,
|
| 68 |
+
"save_on_each_node": false,
|
| 69 |
+
"save_total_limit": 1,
|
| 70 |
+
"enable_jit_checkpoint": false,
|
| 71 |
+
"push_to_hub": false,
|
| 72 |
+
"hub_token": null,
|
| 73 |
+
"hub_private_repo": null,
|
| 74 |
+
"hub_model_id": null,
|
| 75 |
+
"hub_strategy": "every_save",
|
| 76 |
+
"hub_always_push": false,
|
| 77 |
+
"hub_revision": null,
|
| 78 |
+
"load_best_model_at_end": false,
|
| 79 |
+
"metric_for_best_model": "reward",
|
| 80 |
+
"greater_is_better": true,
|
| 81 |
+
"ignore_data_skip": false,
|
| 82 |
+
"restore_callback_states_from_checkpoint": false,
|
| 83 |
+
"full_determinism": false,
|
| 84 |
+
"seed": 42,
|
| 85 |
+
"data_seed": 42,
|
| 86 |
+
"use_cpu": false,
|
| 87 |
+
"accelerator_config": {
|
| 88 |
+
"dispatch_batches": false
|
| 89 |
+
},
|
| 90 |
+
"parallelism_config": null,
|
| 91 |
+
"dataloader_drop_last": false,
|
| 92 |
+
"dataloader_num_workers": null,
|
| 93 |
+
"dataloader_pin_memory": true,
|
| 94 |
+
"dataloader_persistent_workers": true,
|
| 95 |
+
"dataloader_prefetch_factor": null,
|
| 96 |
+
"dataloader_multiprocessing_context": null,
|
| 97 |
+
"dataloader_in_order": true,
|
| 98 |
+
"remove_unused_columns": false,
|
| 99 |
+
"label_names": null,
|
| 100 |
+
"train_sampling_strategy": "random",
|
| 101 |
+
"length_column_name": "length",
|
| 102 |
+
"ddp_find_unused_parameters": false,
|
| 103 |
+
"ddp_bucket_cap_mb": null,
|
| 104 |
+
"ddp_broadcast_buffers": null,
|
| 105 |
+
"ddp_static_graph": null,
|
| 106 |
+
"ddp_backend": null,
|
| 107 |
+
"ddp_timeout": 18000000,
|
| 108 |
+
"fsdp": [],
|
| 109 |
+
"fsdp_config": null,
|
| 110 |
+
"deepspeed": {
|
| 111 |
+
"fp16": {
|
| 112 |
+
"enabled": "auto",
|
| 113 |
+
"loss_scale": 0,
|
| 114 |
+
"loss_scale_window": 1000,
|
| 115 |
+
"initial_scale_power": 16,
|
| 116 |
+
"hysteresis": 2,
|
| 117 |
+
"min_loss_scale": 1
|
| 118 |
+
},
|
| 119 |
+
"bf16": {
|
| 120 |
+
"enabled": "auto"
|
| 121 |
+
},
|
| 122 |
+
"zero_optimization": {
|
| 123 |
+
"stage": 3,
|
| 124 |
+
"offload_optimizer": {
|
| 125 |
+
"device": "none",
|
| 126 |
+
"pin_memory": true
|
| 127 |
+
},
|
| 128 |
+
"offload_param": {
|
| 129 |
+
"device": "none",
|
| 130 |
+
"pin_memory": true
|
| 131 |
+
},
|
| 132 |
+
"overlap_comm": false,
|
| 133 |
+
"contiguous_gradients": true,
|
| 134 |
+
"sub_group_size": 1000000000.0,
|
| 135 |
+
"reduce_bucket_size": "auto",
|
| 136 |
+
"zero_quantized_weights": false,
|
| 137 |
+
"zero_quantized_gradients": false,
|
| 138 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 139 |
+
"stage3_param_persistence_threshold": "auto",
|
| 140 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 141 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 142 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 143 |
+
},
|
| 144 |
+
"gradient_accumulation_steps": "auto",
|
| 145 |
+
"gradient_clipping": "auto",
|
| 146 |
+
"steps_per_print": 2000,
|
| 147 |
+
"train_batch_size": "auto",
|
| 148 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 149 |
+
"wall_clock_breakdown": false
|
| 150 |
+
},
|
| 151 |
+
"debug": null,
|
| 152 |
+
"skip_memory_metrics": true,
|
| 153 |
+
"do_train": false,
|
| 154 |
+
"do_eval": false,
|
| 155 |
+
"do_predict": false,
|
| 156 |
+
"resume_from_checkpoint": null,
|
| 157 |
+
"local_rank": 0,
|
| 158 |
+
"sortish_sampler": false,
|
| 159 |
+
"predict_with_generate": false,
|
| 160 |
+
"generation_max_length": null,
|
| 161 |
+
"generation_num_beams": null,
|
| 162 |
+
"generation_config": null,
|
| 163 |
+
"tuner_backend": "peft",
|
| 164 |
+
"vit_gradient_checkpointing": true,
|
| 165 |
+
"router_aux_loss_coef": 0.0,
|
| 166 |
+
"enable_dft_loss": false,
|
| 167 |
+
"enable_channel_loss": false,
|
| 168 |
+
"safe_serialization": true,
|
| 169 |
+
"max_shard_size": "5GB",
|
| 170 |
+
"check_model": true,
|
| 171 |
+
"acc_strategy": "token",
|
| 172 |
+
"train_dataloader_shuffle": true,
|
| 173 |
+
"group_by_length": false,
|
| 174 |
+
"max_epochs": null,
|
| 175 |
+
"aligner_lr": null,
|
| 176 |
+
"vit_lr": null,
|
| 177 |
+
"use_logits_to_keep": null,
|
| 178 |
+
"ds3_gather_for_generation": true,
|
| 179 |
+
"resume_only_model": false,
|
| 180 |
+
"optimizer": null,
|
| 181 |
+
"loss_type": "grpo",
|
| 182 |
+
"mrl_dims": null,
|
| 183 |
+
"eval_metric": null,
|
| 184 |
+
"callbacks": [
|
| 185 |
+
"cvis_step_timing"
|
| 186 |
+
],
|
| 187 |
+
"early_stop_interval": null,
|
| 188 |
+
"eval_use_evalscope": false,
|
| 189 |
+
"eval_dataset": [],
|
| 190 |
+
"eval_dataset_args": null,
|
| 191 |
+
"eval_limit": null,
|
| 192 |
+
"eval_generation_config": null,
|
| 193 |
+
"extra_eval_args": null,
|
| 194 |
+
"tuner_type": "full",
|
| 195 |
+
"use_galore": false,
|
| 196 |
+
"galore_target_modules": null,
|
| 197 |
+
"galore_rank": 128,
|
| 198 |
+
"galore_update_proj_gap": 50,
|
| 199 |
+
"galore_scale": 1.0,
|
| 200 |
+
"galore_proj_type": "std",
|
| 201 |
+
"galore_optim_per_parameter": false,
|
| 202 |
+
"galore_with_embedding": false,
|
| 203 |
+
"galore_quantization": false,
|
| 204 |
+
"galore_proj_quant": false,
|
| 205 |
+
"galore_proj_bits": 4,
|
| 206 |
+
"galore_proj_group_size": 256,
|
| 207 |
+
"galore_cos_threshold": 0.4,
|
| 208 |
+
"galore_gamma_proj": 2,
|
| 209 |
+
"galore_queue_size": 5,
|
| 210 |
+
"lisa_activated_layers": 0,
|
| 211 |
+
"lisa_step_interval": 20,
|
| 212 |
+
"use_flash_ckpt": false,
|
| 213 |
+
"logging_dir": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver/runs",
|
| 214 |
+
"warmup_ratio": 0.03,
|
| 215 |
+
"use_ray": false,
|
| 216 |
+
"ray_exp_name": null,
|
| 217 |
+
"device_groups": null,
|
| 218 |
+
"model": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_003/solver/checkpoint-160",
|
| 219 |
+
"model_type": "qwen3_5",
|
| 220 |
+
"model_revision": null,
|
| 221 |
+
"task_type": "causal_lm",
|
| 222 |
+
"torch_dtype": "bfloat16",
|
| 223 |
+
"attn_impl": null,
|
| 224 |
+
"experts_impl": null,
|
| 225 |
+
"new_special_tokens": [],
|
| 226 |
+
"num_labels": null,
|
| 227 |
+
"problem_type": null,
|
| 228 |
+
"rope_scaling": null,
|
| 229 |
+
"device_map": null,
|
| 230 |
+
"max_memory": {},
|
| 231 |
+
"max_model_len": null,
|
| 232 |
+
"local_repo_path": null,
|
| 233 |
+
"init_strategy": null,
|
| 234 |
+
"template": "qwen3_5",
|
| 235 |
+
"system": "Base your inference and reasoning strictly on the provided image. Provide the final answer in <answer> and </answer>.",
|
| 236 |
+
"max_length": 2048,
|
| 237 |
+
"truncation_strategy": "left",
|
| 238 |
+
"max_pixels": null,
|
| 239 |
+
"agent_template": null,
|
| 240 |
+
"norm_bbox": null,
|
| 241 |
+
"use_chat_template": true,
|
| 242 |
+
"padding_side": "right",
|
| 243 |
+
"padding_free": false,
|
| 244 |
+
"loss_scale": "last_round+ignore_empty_think",
|
| 245 |
+
"sequence_parallel_size": 1,
|
| 246 |
+
"is_binary_loss_scale": null,
|
| 247 |
+
"template_backend": "swift",
|
| 248 |
+
"response_prefix": null,
|
| 249 |
+
"enable_thinking": false,
|
| 250 |
+
"preserve_thinking": null,
|
| 251 |
+
"add_non_thinking_prefix": true,
|
| 252 |
+
"disable_ignore_empty_think": false,
|
| 253 |
+
"dataset": [
|
| 254 |
+
"/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver/train.jsonl"
|
| 255 |
+
],
|
| 256 |
+
"val_dataset": [],
|
| 257 |
+
"cached_dataset": [],
|
| 258 |
+
"cached_val_dataset": [],
|
| 259 |
+
"split_dataset_ratio": 0.0,
|
| 260 |
+
"dataset_num_proc": 1,
|
| 261 |
+
"load_from_cache_file": false,
|
| 262 |
+
"dataset_shuffle": true,
|
| 263 |
+
"val_dataset_shuffle": false,
|
| 264 |
+
"streaming": false,
|
| 265 |
+
"interleave_prob": null,
|
| 266 |
+
"stopping_strategy": "first_exhausted",
|
| 267 |
+
"shuffle_buffer_size": 1000,
|
| 268 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 269 |
+
"columns": {},
|
| 270 |
+
"strict": false,
|
| 271 |
+
"disable_auto_column_mapping": false,
|
| 272 |
+
"model_name": null,
|
| 273 |
+
"model_author": null,
|
| 274 |
+
"custom_dataset_info": [],
|
| 275 |
+
"decision_drop_instructions": 0.0,
|
| 276 |
+
"decision_subsample_options": 0,
|
| 277 |
+
"decision_state_as_text": 0.0,
|
| 278 |
+
"decision_shuffle_fields": false,
|
| 279 |
+
"quant_method": null,
|
| 280 |
+
"quant_bits": null,
|
| 281 |
+
"hqq_axis": null,
|
| 282 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 283 |
+
"bnb_4bit_quant_type": "nf4",
|
| 284 |
+
"bnb_4bit_use_double_quant": true,
|
| 285 |
+
"bnb_4bit_quant_storage": null,
|
| 286 |
+
"max_new_tokens": 2048,
|
| 287 |
+
"temperature": 1.0,
|
| 288 |
+
"top_k": -1,
|
| 289 |
+
"top_p": 1.0,
|
| 290 |
+
"repetition_penalty": 1.0,
|
| 291 |
+
"num_beams": 1,
|
| 292 |
+
"stream": false,
|
| 293 |
+
"stop_words": [],
|
| 294 |
+
"logprobs": false,
|
| 295 |
+
"top_logprobs": null,
|
| 296 |
+
"structured_outputs_regex": null,
|
| 297 |
+
"adapters": [],
|
| 298 |
+
"external_plugins": [
|
| 299 |
+
"/data1/xiangding/cvis-ablate/repo/cvis/plugins/swift_reward.py"
|
| 300 |
+
],
|
| 301 |
+
"custom_register_path": [],
|
| 302 |
+
"model_kwargs": {},
|
| 303 |
+
"enable_npu_model_patch": true,
|
| 304 |
+
"load_args": false,
|
| 305 |
+
"load_data_args": false,
|
| 306 |
+
"packing": false,
|
| 307 |
+
"packing_length": null,
|
| 308 |
+
"packing_num_proc": 1,
|
| 309 |
+
"packing_strategy": "binpack",
|
| 310 |
+
"lazy_tokenize": true,
|
| 311 |
+
"use_hf": false,
|
| 312 |
+
"ignore_args_error": false,
|
| 313 |
+
"use_swift_lora": false,
|
| 314 |
+
"freeze_parameters": [],
|
| 315 |
+
"freeze_parameters_regex": null,
|
| 316 |
+
"freeze_parameters_ratio": 0.0,
|
| 317 |
+
"trainable_parameters": [
|
| 318 |
+
"model.visual.merger"
|
| 319 |
+
],
|
| 320 |
+
"trainable_parameters_regex": null,
|
| 321 |
+
"freeze_llm": false,
|
| 322 |
+
"freeze_vit": false,
|
| 323 |
+
"freeze_aligner": false,
|
| 324 |
+
"target_modules": [
|
| 325 |
+
"all-linear"
|
| 326 |
+
],
|
| 327 |
+
"target_regex": null,
|
| 328 |
+
"target_parameters": null,
|
| 329 |
+
"modules_to_save": [],
|
| 330 |
+
"lora_rank": 8,
|
| 331 |
+
"lora_alpha": 32.0,
|
| 332 |
+
"lora_dropout": 0.05,
|
| 333 |
+
"lora_bias": "none",
|
| 334 |
+
"lora_dtype": null,
|
| 335 |
+
"lorap_lr_ratio": null,
|
| 336 |
+
"use_rslora": false,
|
| 337 |
+
"use_dora": false,
|
| 338 |
+
"lora_ga_batch_size": 2,
|
| 339 |
+
"lora_ga_iters": 2,
|
| 340 |
+
"lora_ga_max_length": 1024,
|
| 341 |
+
"lora_ga_direction": "ArB2r",
|
| 342 |
+
"lora_ga_scale": "stable",
|
| 343 |
+
"lora_ga_stable_gamma": 16,
|
| 344 |
+
"init_weights": true,
|
| 345 |
+
"fourier_n_frequency": 2000,
|
| 346 |
+
"fourier_scaling": 300.0,
|
| 347 |
+
"boft_block_size": 4,
|
| 348 |
+
"boft_block_num": 0,
|
| 349 |
+
"boft_n_butterfly_factor": 1,
|
| 350 |
+
"boft_dropout": 0.0,
|
| 351 |
+
"vera_rank": 256,
|
| 352 |
+
"vera_projection_prng_key": 0,
|
| 353 |
+
"vera_dropout": 0.0,
|
| 354 |
+
"vera_d_initial": 0.1,
|
| 355 |
+
"adapter_act": "gelu",
|
| 356 |
+
"adapter_length": 128,
|
| 357 |
+
"adalora_target_r": 8,
|
| 358 |
+
"adalora_init_r": 12,
|
| 359 |
+
"adalora_tinit": 0,
|
| 360 |
+
"adalora_tfinal": 0,
|
| 361 |
+
"adalora_deltaT": 1,
|
| 362 |
+
"adalora_beta1": 0.85,
|
| 363 |
+
"adalora_beta2": 0.85,
|
| 364 |
+
"adalora_orth_reg_weight": 0.5,
|
| 365 |
+
"llamapro_num_new_blocks": 4,
|
| 366 |
+
"llamapro_num_groups": null,
|
| 367 |
+
"reft_layer_key": null,
|
| 368 |
+
"reft_layers": null,
|
| 369 |
+
"reft_rank": 4,
|
| 370 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 371 |
+
"reft_args": null,
|
| 372 |
+
"swanlab_token": null,
|
| 373 |
+
"swanlab_project": "ms-swift",
|
| 374 |
+
"swanlab_workspace": null,
|
| 375 |
+
"swanlab_exp_name": null,
|
| 376 |
+
"swanlab_notification_method": null,
|
| 377 |
+
"swanlab_webhook_url": null,
|
| 378 |
+
"swanlab_secret": null,
|
| 379 |
+
"swanlab_sender_email": null,
|
| 380 |
+
"swanlab_receiver_email": null,
|
| 381 |
+
"swanlab_smtp_server": null,
|
| 382 |
+
"swanlab_smtp_port": null,
|
| 383 |
+
"swanlab_email_language": "zh",
|
| 384 |
+
"swanlab_mode": "cloud",
|
| 385 |
+
"add_version": false,
|
| 386 |
+
"create_checkpoint_symlink": false,
|
| 387 |
+
"zero_hpz_partition_size": null,
|
| 388 |
+
"deepspeed_autotp_size": null,
|
| 389 |
+
"reward_model": null,
|
| 390 |
+
"reward_adapters": [],
|
| 391 |
+
"reward_model_type": null,
|
| 392 |
+
"reward_model_revision": null,
|
| 393 |
+
"reward_template": null,
|
| 394 |
+
"num_ppo_epochs": 4,
|
| 395 |
+
"whiten_rewards": false,
|
| 396 |
+
"kl_coef": 0.05,
|
| 397 |
+
"cliprange": 0.2,
|
| 398 |
+
"vf_coef": 0.1,
|
| 399 |
+
"cliprange_value": 0.2,
|
| 400 |
+
"gamma": 1.0,
|
| 401 |
+
"lam": 0.95,
|
| 402 |
+
"num_mini_batches": 1,
|
| 403 |
+
"local_rollout_forward_batch_size": 64,
|
| 404 |
+
"num_sample_generations": 10,
|
| 405 |
+
"response_length": 2048,
|
| 406 |
+
"missing_eos_penalty": null,
|
| 407 |
+
"vllm_gpu_memory_utilization": 0.2,
|
| 408 |
+
"vllm_tensor_parallel_size": 1,
|
| 409 |
+
"vllm_pipeline_parallel_size": 1,
|
| 410 |
+
"vllm_enable_expert_parallel": false,
|
| 411 |
+
"vllm_max_num_seqs": null,
|
| 412 |
+
"vllm_max_model_len": 4096,
|
| 413 |
+
"vllm_disable_custom_all_reduce": true,
|
| 414 |
+
"vllm_enforce_eager": false,
|
| 415 |
+
"vllm_limit_mm_per_prompt": null,
|
| 416 |
+
"vllm_max_lora_rank": 16,
|
| 417 |
+
"vllm_enable_prefix_caching": true,
|
| 418 |
+
"vllm_use_async_engine": null,
|
| 419 |
+
"vllm_quantization": null,
|
| 420 |
+
"vllm_reasoning_parser": null,
|
| 421 |
+
"vllm_disable_cascade_attn": false,
|
| 422 |
+
"vllm_mm_processor_cache_gb": null,
|
| 423 |
+
"vllm_speculative_config": null,
|
| 424 |
+
"vllm_engine_kwargs": {},
|
| 425 |
+
"vllm_data_parallel_size": 1,
|
| 426 |
+
"min_p": 0.0,
|
| 427 |
+
"use_vllm": true,
|
| 428 |
+
"vllm_mode": "colocate",
|
| 429 |
+
"vllm_enable_lora": false,
|
| 430 |
+
"vllm_server_base_url": null,
|
| 431 |
+
"vllm_server_host": null,
|
| 432 |
+
"vllm_server_port": [
|
| 433 |
+
8000
|
| 434 |
+
],
|
| 435 |
+
"vllm_server_timeout": 240.0,
|
| 436 |
+
"vllm_server_group_port": null,
|
| 437 |
+
"enable_flattened_weight_sync": true,
|
| 438 |
+
"async_generate": false,
|
| 439 |
+
"sleep_level": 0,
|
| 440 |
+
"move_model_batches": null,
|
| 441 |
+
"offload_optimizer": false,
|
| 442 |
+
"offload_model": false,
|
| 443 |
+
"wandb_log_unique_prompts": null,
|
| 444 |
+
"generation_batch_size": 256,
|
| 445 |
+
"steps_per_generation": null,
|
| 446 |
+
"teacher_tag_key": "dataset",
|
| 447 |
+
"epsilon": 0.2,
|
| 448 |
+
"epsilon_high": null,
|
| 449 |
+
"delta": null,
|
| 450 |
+
"cosine_min_len_value_wrong": -0.5,
|
| 451 |
+
"cosine_max_len_value_wrong": 0.0,
|
| 452 |
+
"cosine_min_len_value_correct": 1.0,
|
| 453 |
+
"cosine_max_len_value_correct": 0.5,
|
| 454 |
+
"cosine_max_len": null,
|
| 455 |
+
"repetition_n_grams": 3,
|
| 456 |
+
"repetition_max_penalty": -1.0,
|
| 457 |
+
"reward_model_plugin": null,
|
| 458 |
+
"chord_sft_dataset": [],
|
| 459 |
+
"chord_sft_per_device_train_batch_size": null,
|
| 460 |
+
"chord_enable_phi_function": false,
|
| 461 |
+
"chord_mu_warmup_steps": null,
|
| 462 |
+
"chord_mu_decay_steps": null,
|
| 463 |
+
"chord_mu_peak": null,
|
| 464 |
+
"chord_mu_valley": null,
|
| 465 |
+
"sync_ref_model": false,
|
| 466 |
+
"ref_model_sync_steps": 512,
|
| 467 |
+
"ref_model_mixup_alpha": 0.6,
|
| 468 |
+
"multi_turn_scheduler": null,
|
| 469 |
+
"max_turns": null,
|
| 470 |
+
"completion_length_limit_scope": "per_round",
|
| 471 |
+
"vllm_server_pass_dataset": false,
|
| 472 |
+
"use_gym_env": null,
|
| 473 |
+
"gym_env": null,
|
| 474 |
+
"dynamic_sample": false,
|
| 475 |
+
"max_resample_times": 3,
|
| 476 |
+
"overlong_filter": false,
|
| 477 |
+
"soft_max_length": null,
|
| 478 |
+
"soft_cache_length": null,
|
| 479 |
+
"scale_rewards": "group",
|
| 480 |
+
"log_entropy": false,
|
| 481 |
+
"top_entropy_quantile": 1.0,
|
| 482 |
+
"importance_sampling_level": "token",
|
| 483 |
+
"tau_pos": 1.0,
|
| 484 |
+
"tau_neg": 1.05,
|
| 485 |
+
"advantage_estimator": "grpo",
|
| 486 |
+
"kl_in_reward": false,
|
| 487 |
+
"teacher_kl_coef": 1.0,
|
| 488 |
+
"advantage_reweight": null,
|
| 489 |
+
"rlsd_lambda": 0.5,
|
| 490 |
+
"rlsd_reweight_clip_range": 0.2,
|
| 491 |
+
"rlsd_lambda_warmup_steps": 0,
|
| 492 |
+
"rlsd_lambda_decay_steps": 0,
|
| 493 |
+
"rlsd_negative_only": false,
|
| 494 |
+
"sdar_loss_coef": 0.0,
|
| 495 |
+
"sdar_gate_beta": 5.0,
|
| 496 |
+
"real_tau": 0.5,
|
| 497 |
+
"fipo_decay_rate": 32.0,
|
| 498 |
+
"fipo_clip_range": 0.2,
|
| 499 |
+
"fipo_clip_high_only": true,
|
| 500 |
+
"fipo_safety_threshold": 4.0,
|
| 501 |
+
"num_generations_eval": null,
|
| 502 |
+
"rollout_importance_sampling_mode": null,
|
| 503 |
+
"rollout_importance_sampling_threshold": 2.0,
|
| 504 |
+
"log_rollout_offpolicy_metrics": false,
|
| 505 |
+
"off_policy_sequence_mask_delta": null,
|
| 506 |
+
"num_generations": 8,
|
| 507 |
+
"reward_funcs": [
|
| 508 |
+
"cvis_majority_accuracy"
|
| 509 |
+
],
|
| 510 |
+
"reward_weights": null,
|
| 511 |
+
"log_completions": false,
|
| 512 |
+
"num_iterations": 1,
|
| 513 |
+
"teacher_model": null,
|
| 514 |
+
"teacher_adapters": [],
|
| 515 |
+
"teacher_model_type": null,
|
| 516 |
+
"teacher_model_revision": null,
|
| 517 |
+
"teacher_deepspeed": null,
|
| 518 |
+
"teacher_model_server": null,
|
| 519 |
+
"offload_teacher_model": false,
|
| 520 |
+
"rlhf_type": "grpo",
|
| 521 |
+
"ref_model": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_003/solver/checkpoint-160",
|
| 522 |
+
"ref_adapters": [],
|
| 523 |
+
"ref_model_type": "qwen3_5",
|
| 524 |
+
"ref_model_revision": null,
|
| 525 |
+
"beta": 0.01,
|
| 526 |
+
"label_smoothing": 0,
|
| 527 |
+
"max_completion_length": 2048,
|
| 528 |
+
"rpo_alpha": null,
|
| 529 |
+
"ld_alpha": null,
|
| 530 |
+
"discopop_tau": 0.05,
|
| 531 |
+
"loss_weights": null,
|
| 532 |
+
"cpo_alpha": 1.0,
|
| 533 |
+
"simpo_gamma": 1,
|
| 534 |
+
"desirable_weight": 1.0,
|
| 535 |
+
"undesirable_weight": 1.0,
|
| 536 |
+
"center_rewards_coefficient": null,
|
| 537 |
+
"sft_alpha": 0,
|
| 538 |
+
"lmbda": 0.5,
|
| 539 |
+
"seq_kd": false,
|
| 540 |
+
"gkd_logits_topk": null,
|
| 541 |
+
"swift_version": "4.6.0",
|
| 542 |
+
"ckpt_dir": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_003/solver/checkpoint-160",
|
| 543 |
+
"rank": 0,
|
| 544 |
+
"global_world_size": 4,
|
| 545 |
+
"local_world_size": 4,
|
| 546 |
+
"model_suffix": "checkpoint-160",
|
| 547 |
+
"model_info": "ModelInfo(model_type='qwen3_5', model_dir='/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_003/solver/checkpoint-160', torch_dtype=torch.bfloat16, max_model_len=262144, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=True, config=None, task_type='causal_lm', num_labels=None)",
|
| 548 |
+
"model_meta": "ModelMeta(model_type='qwen3_5', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3.5-0.8B', hf_model_id='Qwen/Qwen3.5-0.8B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-2B', hf_model_id='Qwen/Qwen3.5-2B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-4B', hf_model_id='Qwen/Qwen3.5-4B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-9B', hf_model_id='Qwen/Qwen3.5-9B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-27B', hf_model_id='Qwen/Qwen3.5-27B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-27B-FP8', hf_model_id='Qwen/Qwen3.5-27B-FP8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-0.8B-Base', hf_model_id='Qwen/Qwen3.5-0.8B-Base', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-2B-Base', hf_model_id='Qwen/Qwen3.5-2B-Base', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-4B-Base', hf_model_id='Qwen/Qwen3.5-4B-Base', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.5-9B-Base', hf_model_id='Qwen/Qwen3.5-9B-Base', model_path=None, ms_revision=None, hf_revision=None)], template='qwen3_5', ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3.6-27B', hf_model_id='Qwen/Qwen3.6-27B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.6-27B-FP8', hf_model_id='Qwen/Qwen3.6-27B-FP8', model_path=None, ms_revision=None, hf_revision=None)], template='qwen3_5', ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen3.8-27B', hf_model_id='Qwen/Qwen3.8-27B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen3.8-27B-FP8', hf_model_id='Qwen/Qwen3.8-27B-FP8', model_path=None, ms_revision=None, hf_revision=None)], template='qwen3_8', ignore_patterns=None, requires=None, tags=[])], loader=<class 'swift.model.models.qwen.Qwen3_5Loader'>, template=None, model_arch=MultiModelKeys(arch_name='qwen2_vl', embedding=None, module_list=None, lm_head=None, q_proj=None, k_proj=None, v_proj=None, o_proj=None, attention=None, mlp='model.language_model.layers.{}.mlp', down_proj=None, qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None, language_model=['model.language_model', 'lm_head'], aligner=['model.visual.merger'], vision_tower=['model.visual'], generator=[]), mcore_model_type=None, architectures=['Qwen3_5ForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, task_type=None, ignore_patterns=None, requires=['transformers>=5.2.0', 'qwen_vl_utils>=0.0.14', 'decord'], tags=['vision', 'video'])",
|
| 549 |
+
"model_dir": "/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_003/solver/checkpoint-160",
|
| 550 |
+
"template_meta": "QwenTemplateMeta(template_type='qwen3_5', prefix=[], prompt=['<|im_start|>user\\n{{QUERY}}<|im_end|>\\n<|im_start|>assistant\\n'], chat_sep=['<|im_end|>\\n'], suffix=['<|im_end|>\\n'], template_cls=<class 'swift.template.templates.qwen.Qwen3_5Template'>, system_prefix=['<|im_start|>system\\n{{SYSTEM}}<|im_end|>\\n'], default_system=None, auto_add_bos=False, stop_words=['<|endoftext|>'], agent_template='qwen3_5', is_thinking=True, thinking_prefix='<think>\\n', non_thinking_prefix='<think>\\n\\n</think>\\n\\n', preserve_thinking=None, history_thinking_prefix='')",
|
| 551 |
+
"_val_dataset_exists": false,
|
| 552 |
+
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 553 |
+
"evaluation_strategy": "steps",
|
| 554 |
+
"training_args": "GRPOConfig(output_dir='/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver', per_device_train_batch_size=1, num_train_epochs=3.0, max_steps=160, learning_rate=1e-06, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs=None, warmup_steps=0.03, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, optim_target_modules=None, gradient_accumulation_steps=8, average_tokens_across_devices=None, max_grad_norm=1.0, label_smoothing_factor=0.0, bf16=True, fp16=False, bf16_full_eval=False, fp16_full_eval=False, tf32=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, use_liger_kernel=False, liger_kernel_config=None, use_cache=False, neftune_noise_alpha=None, torch_empty_cache_steps=None, auto_find_batch_size=False, logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_steps=1, logging_first_step=True, log_on_each_node=True, logging_nan_inf_filter=True, include_num_input_tokens_seen=None, log_level='passive', log_level_replica='warning', disable_tqdm=False, report_to=['tensorboard'], run_name='/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver', project='huggingface', trackio_space_id=None, trackio_bucket_id=None, trackio_static_space_id=None, eval_strategy=<IntervalStrategy.NO: 'no'>, eval_steps=16.0, eval_delay=0, per_device_eval_batch_size=1, prediction_loss_only=False, eval_on_start=False, eval_do_concat_batches=True, eval_use_gather_object=False, eval_accumulation_steps=None, include_for_metrics=[], batch_eval_metrics=False, save_only_model=False, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=16, save_on_each_node=False, save_total_limit=1, enable_jit_checkpoint=False, push_to_hub=False, hub_token=None, hub_private_repo=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_always_push=False, hub_revision=None, load_best_model_at_end=False, metric_for_best_model='reward', greater_is_better=True, ignore_data_skip=False, restore_callback_states_from_checkpoint=False, full_determinism=False, seed=42, data_seed=42, use_cpu=False, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, dataloader_drop_last=True, dataloader_num_workers=1, dataloader_pin_memory=True, dataloader_persistent_workers=True, dataloader_prefetch_factor=2, dataloader_multiprocessing_context=None, dataloader_in_order=True, remove_unused_columns=False, label_names=None, train_sampling_strategy='random', length_column_name='length', ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, ddp_static_graph=None, ddp_backend=None, ddp_timeout=18000000, fsdp=[], fsdp_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 0, 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, debug=[], skip_memory_metrics=True, do_train=False, do_eval=False, do_predict=False, resume_from_checkpoint=None, local_rank=0, model_init_kwargs=None, disable_dropout=False, cast_lm_head_to_fp32=False, num_generations=8, num_generations_eval=None, max_completion_length=2048, ds3_gather_for_generation=True, shuffle_dataset=True, generation_batch_size=256, steps_per_generation=64, temperature=1.0, top_p=1.0, top_k=-1, min_p=0.0, generation_kwargs=None, chat_template_kwargs=None, repetition_penalty=1.0, use_transformers_paged=False, cache_implementation=None, use_vllm=True, vllm_mode='colocate', vllm_model_impl='vllm', vllm_enable_sleep_mode=False, vllm_structured_outputs_regex=None, vllm_server_base_url=None, vllm_server_host=None, vllm_server_port=[8000], vllm_server_timeout=240.0, vllm_group_port=51216, vllm_gpu_memory_utilization=0.2, vllm_max_model_length=None, vllm_tensor_parallel_size=1, beta=0.01, num_iterations=1, epsilon=0.2, delta=None, epsilon_high=None, sapo_temperature_neg=1.05, sapo_temperature_pos=1.0, importance_sampling_level='token', reward_weights=None, multi_objective_aggregation='sum_then_normalize', scale_rewards='group', loss_type='grpo', mask_truncated_completions=False, sync_ref_model=False, ref_model_mixup_alpha=0.6, ref_model_sync_steps=512, top_entropy_quantile=1.0, max_tool_calling_iterations=None, vllm_importance_sampling_correction=True, vllm_importance_sampling_mode='sequence_mask', vllm_importance_sampling_cap=3.0, off_policy_mask_threshold=None, use_bias_correction_kl=False, log_completions=False, num_completions_to_print=None, log_unique_prompts=False, log_completions_hub_repo=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, group_by_length=False, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, resume_only_model=False, optimizer=None, mrl_dims=None, eval_metric=None, callbacks=['cvis_step_timing'], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='full', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False, logging_dir='/data1/xiangding/cvis-ablate/runs/m1_proposer_answer/run_m1_proposer_answer_4g/iteration_004/solver/runs', warmup_ratio=0.0, vllm_pipeline_parallel_size=1, vllm_enable_expert_parallel=False, vllm_max_num_seqs=None, vllm_max_model_len=4096, vllm_disable_custom_all_reduce=True, vllm_enforce_eager=False, vllm_limit_mm_per_prompt=None, vllm_max_lora_rank=16, vllm_enable_prefix_caching=True, vllm_use_async_engine=None, vllm_quantization=None, vllm_reasoning_parser=None, vllm_disable_cascade_attn=False, vllm_mm_processor_cache_gb=None, vllm_speculative_config=None, vllm_engine_kwargs={}, vllm_data_parallel_size=1, stop_words=[], vllm_enable_lora=False, lora_rank=8, vllm_server_group_port=None, enable_flattened_weight_sync=True, async_generate=False, structured_outputs_regex=None, sleep_level=0, move_model_batches=None, offload_optimizer=False, offload_model=False, wandb_log_unique_prompts=None, teacher_tag_key='dataset', cosine_min_len_value_wrong=-0.5, cosine_max_len_value_wrong=0.0, cosine_min_len_value_correct=1.0, cosine_max_len_value_correct=0.5, cosine_max_len=2048, repetition_n_grams=3, repetition_max_penalty=-1.0, reward_model=None, reward_model_plugin=None, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, multi_turn_scheduler=None, max_turns=None, completion_length_limit_scope='per_round', vllm_server_pass_dataset=False, use_gym_env=None, gym_env=None, dynamic_sample=False, max_resample_times=3, overlong_filter=False, soft_max_length=None, soft_cache_length=None, log_entropy=False, tau_pos=1.0, tau_neg=1.05, advantage_estimator='grpo', kl_in_reward=False, teacher_kl_coef=1.0, advantage_reweight=None, rlsd_lambda=0.5, rlsd_reweight_clip_range=0.2, rlsd_lambda_warmup_steps=0, rlsd_lambda_decay_steps=0, rlsd_negative_only=False, sdar_loss_coef=0.0, sdar_gate_beta=5.0, real_tau=0.5, fipo_decay_rate=32.0, fipo_clip_range=0.2, fipo_clip_high_only=True, fipo_safety_threshold=4.0, dataset_shuffle=True, rollout_importance_sampling_mode=None, rollout_importance_sampling_threshold=2.0, log_rollout_offpolicy_metrics=False, off_policy_sequence_mask_delta=None, offload_teacher_model=False)",
|
| 555 |
+
"_teacher_use_disable_adapter": false
|
| 556 |
+
}
|
m1_proposer_answer/round_4/chat_template.jinja
ADDED
|
@@ -0,0 +1,154 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- set image_count = namespace(value=0) %}
|
| 2 |
+
{%- set video_count = namespace(value=0) %}
|
| 3 |
+
{%- macro render_content(content, do_vision_count, is_system_content=false) %}
|
| 4 |
+
{%- if content is string %}
|
| 5 |
+
{{- content }}
|
| 6 |
+
{%- elif content is iterable and content is not mapping %}
|
| 7 |
+
{%- for item in content %}
|
| 8 |
+
{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
|
| 9 |
+
{%- if is_system_content %}
|
| 10 |
+
{{- raise_exception('System message cannot contain images.') }}
|
| 11 |
+
{%- endif %}
|
| 12 |
+
{%- if do_vision_count %}
|
| 13 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{%- if add_vision_id %}
|
| 16 |
+
{{- 'Picture ' ~ image_count.value ~ ': ' }}
|
| 17 |
+
{%- endif %}
|
| 18 |
+
{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
|
| 19 |
+
{%- elif 'video' in item or item.type == 'video' %}
|
| 20 |
+
{%- if is_system_content %}
|
| 21 |
+
{{- raise_exception('System message cannot contain videos.') }}
|
| 22 |
+
{%- endif %}
|
| 23 |
+
{%- if do_vision_count %}
|
| 24 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 25 |
+
{%- endif %}
|
| 26 |
+
{%- if add_vision_id %}
|
| 27 |
+
{{- 'Video ' ~ video_count.value ~ ': ' }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
|
| 30 |
+
{%- elif 'text' in item %}
|
| 31 |
+
{{- item.text }}
|
| 32 |
+
{%- else %}
|
| 33 |
+
{{- raise_exception('Unexpected item type in content.') }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endfor %}
|
| 36 |
+
{%- elif content is none or content is undefined %}
|
| 37 |
+
{{- '' }}
|
| 38 |
+
{%- else %}
|
| 39 |
+
{{- raise_exception('Unexpected content type.') }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endmacro %}
|
| 42 |
+
{%- if not messages %}
|
| 43 |
+
{{- raise_exception('No messages provided.') }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- if tools and tools is iterable and tools is not mapping %}
|
| 46 |
+
{{- '<|im_start|>system\n' }}
|
| 47 |
+
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
|
| 48 |
+
{%- for tool in tools %}
|
| 49 |
+
{{- "\n" }}
|
| 50 |
+
{{- tool | tojson }}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{{- "\n</tools>" }}
|
| 53 |
+
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
|
| 54 |
+
{%- if messages[0].role == 'system' %}
|
| 55 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 56 |
+
{%- if content %}
|
| 57 |
+
{{- '\n\n' + content }}
|
| 58 |
+
{%- endif %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<|im_end|>\n' }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{%- if messages[0].role == 'system' %}
|
| 63 |
+
{%- set content = render_content(messages[0].content, false, true)|trim %}
|
| 64 |
+
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
|
| 65 |
+
{%- endif %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 68 |
+
{%- for message in messages[::-1] %}
|
| 69 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 70 |
+
{%- if ns.multi_step_tool and message.role == "user" %}
|
| 71 |
+
{%- set content = render_content(message.content, false)|trim %}
|
| 72 |
+
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
|
| 73 |
+
{%- set ns.multi_step_tool = false %}
|
| 74 |
+
{%- set ns.last_query_index = index %}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{%- endif %}
|
| 77 |
+
{%- endfor %}
|
| 78 |
+
{%- if ns.multi_step_tool %}
|
| 79 |
+
{{- raise_exception('No user query found in messages.') }}
|
| 80 |
+
{%- endif %}
|
| 81 |
+
{%- for message in messages %}
|
| 82 |
+
{%- set content = render_content(message.content, true)|trim %}
|
| 83 |
+
{%- if message.role == "system" %}
|
| 84 |
+
{%- if not loop.first %}
|
| 85 |
+
{{- raise_exception('System message must be at the beginning.') }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- elif message.role == "user" %}
|
| 88 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 89 |
+
{%- elif message.role == "assistant" %}
|
| 90 |
+
{%- set reasoning_content = '' %}
|
| 91 |
+
{%- if message.reasoning_content is string %}
|
| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
|
| 94 |
+
{%- if '</think>' in content %}
|
| 95 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 96 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 97 |
+
{%- endif %}
|
| 98 |
+
{%- endif %}
|
| 99 |
+
{%- set reasoning_content = reasoning_content|trim %}
|
| 100 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 101 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
|
| 102 |
+
{%- else %}
|
| 103 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 104 |
+
{%- endif %}
|
| 105 |
+
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
|
| 106 |
+
{%- for tool_call in message.tool_calls %}
|
| 107 |
+
{%- if tool_call.function is defined %}
|
| 108 |
+
{%- set tool_call = tool_call.function %}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- if loop.first %}
|
| 111 |
+
{%- if content|trim %}
|
| 112 |
+
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 113 |
+
{%- else %}
|
| 114 |
+
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- else %}
|
| 117 |
+
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
| 118 |
+
{%- endif %}
|
| 119 |
+
{%- if tool_call.arguments is defined %}
|
| 120 |
+
{%- for args_name, args_value in tool_call.arguments|items %}
|
| 121 |
+
{{- '<parameter=' + args_name + '>\n' }}
|
| 122 |
+
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
| 123 |
+
{{- args_value }}
|
| 124 |
+
{{- '\n</parameter>\n' }}
|
| 125 |
+
{%- endfor %}
|
| 126 |
+
{%- endif %}
|
| 127 |
+
{{- '</function>\n</tool_call>' }}
|
| 128 |
+
{%- endfor %}
|
| 129 |
+
{%- endif %}
|
| 130 |
+
{{- '<|im_end|>\n' }}
|
| 131 |
+
{%- elif message.role == "tool" %}
|
| 132 |
+
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
| 133 |
+
{{- '<|im_start|>user' }}
|
| 134 |
+
{%- endif %}
|
| 135 |
+
{{- '\n<tool_response>\n' }}
|
| 136 |
+
{{- content }}
|
| 137 |
+
{{- '\n</tool_response>' }}
|
| 138 |
+
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
| 139 |
+
{{- '<|im_end|>\n' }}
|
| 140 |
+
{%- elif loop.last %}
|
| 141 |
+
{{- '<|im_end|>\n' }}
|
| 142 |
+
{%- endif %}
|
| 143 |
+
{%- else %}
|
| 144 |
+
{{- raise_exception('Unexpected message role.') }}
|
| 145 |
+
{%- endif %}
|
| 146 |
+
{%- endfor %}
|
| 147 |
+
{%- if add_generation_prompt %}
|
| 148 |
+
{{- '<|im_start|>assistant\n' }}
|
| 149 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 150 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 151 |
+
{%- else %}
|
| 152 |
+
{{- '<think>\n' }}
|
| 153 |
+
{%- endif %}
|
| 154 |
+
{%- endif %}
|
m1_proposer_answer/round_4/config.json
ADDED
|
@@ -0,0 +1,117 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "bfloat16",
|
| 6 |
+
"eos_token_id": 248046,
|
| 7 |
+
"hidden_size": 4096,
|
| 8 |
+
"image_token_id": 248056,
|
| 9 |
+
"model_type": "qwen3_5",
|
| 10 |
+
"pad_token_id": 248044,
|
| 11 |
+
"text_config": {
|
| 12 |
+
"attention_bias": false,
|
| 13 |
+
"attention_dropout": 0.0,
|
| 14 |
+
"attn_output_gate": true,
|
| 15 |
+
"bos_token_id": null,
|
| 16 |
+
"dtype": "bfloat16",
|
| 17 |
+
"eos_token_id": 248044,
|
| 18 |
+
"full_attention_interval": 4,
|
| 19 |
+
"head_dim": 256,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 4096,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 12288,
|
| 24 |
+
"layer_types": [
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"linear_attention",
|
| 54 |
+
"linear_attention",
|
| 55 |
+
"linear_attention",
|
| 56 |
+
"full_attention"
|
| 57 |
+
],
|
| 58 |
+
"linear_conv_kernel_dim": 4,
|
| 59 |
+
"linear_key_head_dim": 128,
|
| 60 |
+
"linear_num_key_heads": 16,
|
| 61 |
+
"linear_num_value_heads": 32,
|
| 62 |
+
"linear_value_head_dim": 128,
|
| 63 |
+
"mamba_ssm_dtype": "float32",
|
| 64 |
+
"max_position_embeddings": 262144,
|
| 65 |
+
"mlp_only_layers": [],
|
| 66 |
+
"model_type": "qwen3_5_text",
|
| 67 |
+
"mtp_num_hidden_layers": 1,
|
| 68 |
+
"mtp_use_dedicated_embeddings": false,
|
| 69 |
+
"num_attention_heads": 16,
|
| 70 |
+
"num_hidden_layers": 32,
|
| 71 |
+
"num_key_value_heads": 4,
|
| 72 |
+
"pad_token_id": 248044,
|
| 73 |
+
"partial_rotary_factor": 0.25,
|
| 74 |
+
"rms_norm_eps": 1e-06,
|
| 75 |
+
"rope_parameters": {
|
| 76 |
+
"mrope_interleaved": true,
|
| 77 |
+
"mrope_section": [
|
| 78 |
+
11,
|
| 79 |
+
11,
|
| 80 |
+
10
|
| 81 |
+
],
|
| 82 |
+
"partial_rotary_factor": 0.25,
|
| 83 |
+
"rope_theta": 10000000,
|
| 84 |
+
"rope_type": "default"
|
| 85 |
+
},
|
| 86 |
+
"tie_word_embeddings": false,
|
| 87 |
+
"use_cache": false,
|
| 88 |
+
"vocab_size": 248320
|
| 89 |
+
},
|
| 90 |
+
"tie_word_embeddings": false,
|
| 91 |
+
"transformers_version": "5.17.0",
|
| 92 |
+
"use_cache": false,
|
| 93 |
+
"video_token_id": 248057,
|
| 94 |
+
"vision_config": {
|
| 95 |
+
"deepstack_visual_indexes": [],
|
| 96 |
+
"depth": 27,
|
| 97 |
+
"dtype": "bfloat16",
|
| 98 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 99 |
+
"hidden_size": 1152,
|
| 100 |
+
"in_channels": 3,
|
| 101 |
+
"initializer_range": 0.02,
|
| 102 |
+
"intermediate_size": 4304,
|
| 103 |
+
"model_type": "qwen3_5_vision",
|
| 104 |
+
"num_heads": 16,
|
| 105 |
+
"num_position_embeddings": 2304,
|
| 106 |
+
"out_hidden_size": 4096,
|
| 107 |
+
"patch_size": 16,
|
| 108 |
+
"rope_parameters": {
|
| 109 |
+
"rope_theta": 10000.0,
|
| 110 |
+
"rope_type": "axial"
|
| 111 |
+
},
|
| 112 |
+
"spatial_merge_size": 2,
|
| 113 |
+
"temporal_patch_size": 2
|
| 114 |
+
},
|
| 115 |
+
"vision_end_token_id": 248054,
|
| 116 |
+
"vision_start_token_id": 248053
|
| 117 |
+
}
|
m1_proposer_answer/round_4/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
248044,
|
| 5 |
+
248046
|
| 6 |
+
],
|
| 7 |
+
"transformers_version": "5.17.0",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
m1_proposer_answer/round_4/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87e3b42ab0850300e5cecb5be1bbc1cef4a7f5ee9e9b7509d314b5501dc235e1
|
| 3 |
+
size 4942706120
|
m1_proposer_answer/round_4/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3d69220369ec13c40f2a35c9a251d15ec9c25e04f7f0a323aed5c3a75a356c4
|
| 3 |
+
size 4987757928
|
m1_proposer_answer/round_4/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e9608ba45a2a074eda41c33a52ac48e89458052c22530b5fbcde34ab2d97997
|
| 3 |
+
size 4954810240
|
m1_proposer_answer/round_4/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7af3a6dff4da99e8ba20a0895428c3459da755d3dd195eb823f34312be5a47b5
|
| 3 |
+
size 3934446832
|
m1_proposer_answer/round_4/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,768 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 1469680,
|
| 4 |
+
"total_size": 18819627488
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.language_model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.language_model.layers.0.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.language_model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.language_model.layers.0.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.language_model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.language_model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.language_model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.language_model.layers.0.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.language_model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.language_model.layers.1.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.language_model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.language_model.layers.1.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.language_model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.language_model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.language_model.layers.1.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.language_model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.language_model.layers.1.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.language_model.layers.1.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
|
| 33 |
+
"model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 34 |
+
"model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 35 |
+
"model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 36 |
+
"model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 37 |
+
"model.language_model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.language_model.layers.10.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.language_model.layers.10.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.language_model.layers.10.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.language_model.layers.10.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.language_model.layers.10.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.language_model.layers.10.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.language_model.layers.10.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.language_model.layers.10.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.language_model.layers.10.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.language_model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.language_model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.language_model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.language_model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.language_model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.language_model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.language_model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.language_model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.language_model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.language_model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.language_model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.language_model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.language_model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.language_model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.language_model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.language_model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.language_model.layers.12.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.language_model.layers.12.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.language_model.layers.12.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.language_model.layers.12.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.language_model.layers.12.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.language_model.layers.12.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.language_model.layers.12.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.language_model.layers.12.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.language_model.layers.12.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.language_model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.language_model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.language_model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.language_model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.language_model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.language_model.layers.13.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.language_model.layers.13.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.language_model.layers.13.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.language_model.layers.13.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.language_model.layers.13.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.language_model.layers.13.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.language_model.layers.13.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.language_model.layers.13.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.language_model.layers.13.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.language_model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.language_model.layers.13.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 88 |
+
"model.language_model.layers.13.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 89 |
+
"model.language_model.layers.13.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 90 |
+
"model.language_model.layers.14.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 91 |
+
"model.language_model.layers.14.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 92 |
+
"model.language_model.layers.14.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 93 |
+
"model.language_model.layers.14.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 94 |
+
"model.language_model.layers.14.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 95 |
+
"model.language_model.layers.14.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 96 |
+
"model.language_model.layers.14.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 97 |
+
"model.language_model.layers.14.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 98 |
+
"model.language_model.layers.14.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 99 |
+
"model.language_model.layers.14.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 100 |
+
"model.language_model.layers.14.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 101 |
+
"model.language_model.layers.14.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 102 |
+
"model.language_model.layers.14.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 103 |
+
"model.language_model.layers.14.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 104 |
+
"model.language_model.layers.15.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 105 |
+
"model.language_model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 106 |
+
"model.language_model.layers.15.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 107 |
+
"model.language_model.layers.15.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 108 |
+
"model.language_model.layers.15.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 109 |
+
"model.language_model.layers.15.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 110 |
+
"model.language_model.layers.15.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 111 |
+
"model.language_model.layers.15.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 112 |
+
"model.language_model.layers.15.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 113 |
+
"model.language_model.layers.15.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 114 |
+
"model.language_model.layers.15.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 115 |
+
"model.language_model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 116 |
+
"model.language_model.layers.16.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 117 |
+
"model.language_model.layers.16.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 118 |
+
"model.language_model.layers.16.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 119 |
+
"model.language_model.layers.16.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 120 |
+
"model.language_model.layers.16.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 121 |
+
"model.language_model.layers.16.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 122 |
+
"model.language_model.layers.16.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 123 |
+
"model.language_model.layers.16.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 124 |
+
"model.language_model.layers.16.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 125 |
+
"model.language_model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.language_model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.language_model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 128 |
+
"model.language_model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.language_model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.language_model.layers.17.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 131 |
+
"model.language_model.layers.17.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 132 |
+
"model.language_model.layers.17.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.language_model.layers.17.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 134 |
+
"model.language_model.layers.17.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.language_model.layers.17.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.language_model.layers.17.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.language_model.layers.17.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.language_model.layers.17.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.language_model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.language_model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.language_model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.language_model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.language_model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.language_model.layers.18.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.language_model.layers.18.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.language_model.layers.18.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.language_model.layers.18.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.language_model.layers.18.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.language_model.layers.18.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.language_model.layers.18.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.language_model.layers.18.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.language_model.layers.18.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 153 |
+
"model.language_model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 154 |
+
"model.language_model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 155 |
+
"model.language_model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 156 |
+
"model.language_model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 157 |
+
"model.language_model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 158 |
+
"model.language_model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 159 |
+
"model.language_model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 160 |
+
"model.language_model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 161 |
+
"model.language_model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 162 |
+
"model.language_model.layers.19.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 163 |
+
"model.language_model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 164 |
+
"model.language_model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.language_model.layers.19.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.language_model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.language_model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.language_model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 169 |
+
"model.language_model.layers.2.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 170 |
+
"model.language_model.layers.2.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 171 |
+
"model.language_model.layers.2.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 172 |
+
"model.language_model.layers.2.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 173 |
+
"model.language_model.layers.2.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 174 |
+
"model.language_model.layers.2.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 175 |
+
"model.language_model.layers.2.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 176 |
+
"model.language_model.layers.2.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 177 |
+
"model.language_model.layers.2.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 178 |
+
"model.language_model.layers.2.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 179 |
+
"model.language_model.layers.2.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 180 |
+
"model.language_model.layers.2.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 181 |
+
"model.language_model.layers.2.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 182 |
+
"model.language_model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.language_model.layers.20.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.language_model.layers.20.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.language_model.layers.20.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.language_model.layers.20.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.language_model.layers.20.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.language_model.layers.20.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.language_model.layers.20.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.language_model.layers.20.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.language_model.layers.20.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.language_model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.language_model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.language_model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.language_model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.language_model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.language_model.layers.21.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.language_model.layers.21.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.language_model.layers.21.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.language_model.layers.21.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.language_model.layers.21.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.language_model.layers.21.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.language_model.layers.21.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.language_model.layers.21.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.language_model.layers.21.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.language_model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.language_model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.language_model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.language_model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.language_model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.language_model.layers.22.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.language_model.layers.22.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.language_model.layers.22.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.language_model.layers.22.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.language_model.layers.22.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.language_model.layers.22.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.language_model.layers.22.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.language_model.layers.22.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.language_model.layers.22.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.language_model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.language_model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.language_model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.language_model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.language_model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.language_model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.language_model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.language_model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.language_model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.language_model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.language_model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.language_model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.language_model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.language_model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.language_model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.language_model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.language_model.layers.24.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.language_model.layers.24.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 238 |
+
"model.language_model.layers.24.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.language_model.layers.24.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.language_model.layers.24.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.language_model.layers.24.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.language_model.layers.24.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.language_model.layers.24.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.language_model.layers.24.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.language_model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.language_model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.language_model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.language_model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.language_model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 250 |
+
"model.language_model.layers.25.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.language_model.layers.25.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.language_model.layers.25.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.language_model.layers.25.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.language_model.layers.25.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.language_model.layers.25.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 256 |
+
"model.language_model.layers.25.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 257 |
+
"model.language_model.layers.25.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 258 |
+
"model.language_model.layers.25.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 259 |
+
"model.language_model.layers.25.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 260 |
+
"model.language_model.layers.25.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 261 |
+
"model.language_model.layers.25.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 262 |
+
"model.language_model.layers.25.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 263 |
+
"model.language_model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 264 |
+
"model.language_model.layers.26.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 265 |
+
"model.language_model.layers.26.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 266 |
+
"model.language_model.layers.26.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 267 |
+
"model.language_model.layers.26.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 268 |
+
"model.language_model.layers.26.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 269 |
+
"model.language_model.layers.26.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 270 |
+
"model.language_model.layers.26.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 271 |
+
"model.language_model.layers.26.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 272 |
+
"model.language_model.layers.26.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 273 |
+
"model.language_model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 274 |
+
"model.language_model.layers.26.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 275 |
+
"model.language_model.layers.26.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 276 |
+
"model.language_model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 277 |
+
"model.language_model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 278 |
+
"model.language_model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 279 |
+
"model.language_model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 280 |
+
"model.language_model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 281 |
+
"model.language_model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 282 |
+
"model.language_model.layers.27.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
| 283 |
+
"model.language_model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 284 |
+
"model.language_model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 285 |
+
"model.language_model.layers.27.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
| 286 |
+
"model.language_model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 287 |
+
"model.language_model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 288 |
+
"model.language_model.layers.28.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 289 |
+
"model.language_model.layers.28.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 290 |
+
"model.language_model.layers.28.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 291 |
+
"model.language_model.layers.28.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 292 |
+
"model.language_model.layers.28.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 293 |
+
"model.language_model.layers.28.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 294 |
+
"model.language_model.layers.28.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 295 |
+
"model.language_model.layers.28.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 296 |
+
"model.language_model.layers.28.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 297 |
+
"model.language_model.layers.28.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 298 |
+
"model.language_model.layers.28.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 299 |
+
"model.language_model.layers.28.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 300 |
+
"model.language_model.layers.28.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 301 |
+
"model.language_model.layers.28.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 302 |
+
"model.language_model.layers.29.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 303 |
+
"model.language_model.layers.29.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 304 |
+
"model.language_model.layers.29.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 305 |
+
"model.language_model.layers.29.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 306 |
+
"model.language_model.layers.29.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 307 |
+
"model.language_model.layers.29.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 308 |
+
"model.language_model.layers.29.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 309 |
+
"model.language_model.layers.29.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 310 |
+
"model.language_model.layers.29.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 311 |
+
"model.language_model.layers.29.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 312 |
+
"model.language_model.layers.29.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 313 |
+
"model.language_model.layers.29.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 314 |
+
"model.language_model.layers.29.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 315 |
+
"model.language_model.layers.29.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 316 |
+
"model.language_model.layers.3.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 317 |
+
"model.language_model.layers.3.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 318 |
+
"model.language_model.layers.3.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 319 |
+
"model.language_model.layers.3.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 320 |
+
"model.language_model.layers.3.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.language_model.layers.3.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.language_model.layers.3.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.language_model.layers.3.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.language_model.layers.3.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.language_model.layers.3.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 326 |
+
"model.language_model.layers.3.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 327 |
+
"model.language_model.layers.30.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 328 |
+
"model.language_model.layers.30.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 329 |
+
"model.language_model.layers.30.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 330 |
+
"model.language_model.layers.30.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 331 |
+
"model.language_model.layers.30.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 332 |
+
"model.language_model.layers.30.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 333 |
+
"model.language_model.layers.30.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 334 |
+
"model.language_model.layers.30.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 335 |
+
"model.language_model.layers.30.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 336 |
+
"model.language_model.layers.30.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 337 |
+
"model.language_model.layers.30.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 338 |
+
"model.language_model.layers.30.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 339 |
+
"model.language_model.layers.30.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 340 |
+
"model.language_model.layers.30.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 341 |
+
"model.language_model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 342 |
+
"model.language_model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 343 |
+
"model.language_model.layers.31.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 344 |
+
"model.language_model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 345 |
+
"model.language_model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 346 |
+
"model.language_model.layers.31.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
| 347 |
+
"model.language_model.layers.31.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 348 |
+
"model.language_model.layers.31.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 349 |
+
"model.language_model.layers.31.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
| 350 |
+
"model.language_model.layers.31.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 351 |
+
"model.language_model.layers.31.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 352 |
+
"model.language_model.layers.4.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 353 |
+
"model.language_model.layers.4.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 354 |
+
"model.language_model.layers.4.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 355 |
+
"model.language_model.layers.4.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 356 |
+
"model.language_model.layers.4.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 357 |
+
"model.language_model.layers.4.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 358 |
+
"model.language_model.layers.4.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 359 |
+
"model.language_model.layers.4.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 360 |
+
"model.language_model.layers.4.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 361 |
+
"model.language_model.layers.4.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 362 |
+
"model.language_model.layers.4.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 363 |
+
"model.language_model.layers.4.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 364 |
+
"model.language_model.layers.4.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 365 |
+
"model.language_model.layers.4.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 366 |
+
"model.language_model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 367 |
+
"model.language_model.layers.5.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 368 |
+
"model.language_model.layers.5.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 369 |
+
"model.language_model.layers.5.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 370 |
+
"model.language_model.layers.5.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 371 |
+
"model.language_model.layers.5.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 372 |
+
"model.language_model.layers.5.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 373 |
+
"model.language_model.layers.5.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 374 |
+
"model.language_model.layers.5.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 375 |
+
"model.language_model.layers.5.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 376 |
+
"model.language_model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 377 |
+
"model.language_model.layers.5.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 378 |
+
"model.language_model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 379 |
+
"model.language_model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 380 |
+
"model.language_model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 381 |
+
"model.language_model.layers.6.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 382 |
+
"model.language_model.layers.6.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 383 |
+
"model.language_model.layers.6.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 384 |
+
"model.language_model.layers.6.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 385 |
+
"model.language_model.layers.6.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 386 |
+
"model.language_model.layers.6.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 387 |
+
"model.language_model.layers.6.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 388 |
+
"model.language_model.layers.6.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 389 |
+
"model.language_model.layers.6.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 390 |
+
"model.language_model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 391 |
+
"model.language_model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 392 |
+
"model.language_model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 393 |
+
"model.language_model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 394 |
+
"model.language_model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 395 |
+
"model.language_model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 396 |
+
"model.language_model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 397 |
+
"model.language_model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 398 |
+
"model.language_model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 399 |
+
"model.language_model.layers.7.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 400 |
+
"model.language_model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 401 |
+
"model.language_model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 402 |
+
"model.language_model.layers.7.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 403 |
+
"model.language_model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 404 |
+
"model.language_model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 405 |
+
"model.language_model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 406 |
+
"model.language_model.layers.8.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 407 |
+
"model.language_model.layers.8.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 408 |
+
"model.language_model.layers.8.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 409 |
+
"model.language_model.layers.8.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 410 |
+
"model.language_model.layers.8.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 411 |
+
"model.language_model.layers.8.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 412 |
+
"model.language_model.layers.8.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 413 |
+
"model.language_model.layers.8.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 414 |
+
"model.language_model.layers.8.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 415 |
+
"model.language_model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 416 |
+
"model.language_model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 417 |
+
"model.language_model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 418 |
+
"model.language_model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 419 |
+
"model.language_model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 420 |
+
"model.language_model.layers.9.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 421 |
+
"model.language_model.layers.9.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 422 |
+
"model.language_model.layers.9.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 423 |
+
"model.language_model.layers.9.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 424 |
+
"model.language_model.layers.9.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 425 |
+
"model.language_model.layers.9.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 426 |
+
"model.language_model.layers.9.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 427 |
+
"model.language_model.layers.9.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 428 |
+
"model.language_model.layers.9.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 429 |
+
"model.language_model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 430 |
+
"model.language_model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 431 |
+
"model.language_model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 432 |
+
"model.language_model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 433 |
+
"model.language_model.norm.weight": "model-00004-of-00004.safetensors",
|
| 434 |
+
"model.visual.blocks.0.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 435 |
+
"model.visual.blocks.0.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 436 |
+
"model.visual.blocks.0.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 437 |
+
"model.visual.blocks.0.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 438 |
+
"model.visual.blocks.0.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 439 |
+
"model.visual.blocks.0.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 440 |
+
"model.visual.blocks.0.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 441 |
+
"model.visual.blocks.0.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 442 |
+
"model.visual.blocks.0.norm1.bias": "model-00004-of-00004.safetensors",
|
| 443 |
+
"model.visual.blocks.0.norm1.weight": "model-00004-of-00004.safetensors",
|
| 444 |
+
"model.visual.blocks.0.norm2.bias": "model-00004-of-00004.safetensors",
|
| 445 |
+
"model.visual.blocks.0.norm2.weight": "model-00004-of-00004.safetensors",
|
| 446 |
+
"model.visual.blocks.1.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 447 |
+
"model.visual.blocks.1.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 448 |
+
"model.visual.blocks.1.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 449 |
+
"model.visual.blocks.1.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 450 |
+
"model.visual.blocks.1.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 451 |
+
"model.visual.blocks.1.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 452 |
+
"model.visual.blocks.1.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 453 |
+
"model.visual.blocks.1.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 454 |
+
"model.visual.blocks.1.norm1.bias": "model-00004-of-00004.safetensors",
|
| 455 |
+
"model.visual.blocks.1.norm1.weight": "model-00004-of-00004.safetensors",
|
| 456 |
+
"model.visual.blocks.1.norm2.bias": "model-00004-of-00004.safetensors",
|
| 457 |
+
"model.visual.blocks.1.norm2.weight": "model-00004-of-00004.safetensors",
|
| 458 |
+
"model.visual.blocks.10.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 459 |
+
"model.visual.blocks.10.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 460 |
+
"model.visual.blocks.10.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 461 |
+
"model.visual.blocks.10.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 462 |
+
"model.visual.blocks.10.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 463 |
+
"model.visual.blocks.10.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 464 |
+
"model.visual.blocks.10.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 465 |
+
"model.visual.blocks.10.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 466 |
+
"model.visual.blocks.10.norm1.bias": "model-00004-of-00004.safetensors",
|
| 467 |
+
"model.visual.blocks.10.norm1.weight": "model-00004-of-00004.safetensors",
|
| 468 |
+
"model.visual.blocks.10.norm2.bias": "model-00004-of-00004.safetensors",
|
| 469 |
+
"model.visual.blocks.10.norm2.weight": "model-00004-of-00004.safetensors",
|
| 470 |
+
"model.visual.blocks.11.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 471 |
+
"model.visual.blocks.11.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 472 |
+
"model.visual.blocks.11.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 473 |
+
"model.visual.blocks.11.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 474 |
+
"model.visual.blocks.11.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 475 |
+
"model.visual.blocks.11.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 476 |
+
"model.visual.blocks.11.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 477 |
+
"model.visual.blocks.11.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 478 |
+
"model.visual.blocks.11.norm1.bias": "model-00004-of-00004.safetensors",
|
| 479 |
+
"model.visual.blocks.11.norm1.weight": "model-00004-of-00004.safetensors",
|
| 480 |
+
"model.visual.blocks.11.norm2.bias": "model-00004-of-00004.safetensors",
|
| 481 |
+
"model.visual.blocks.11.norm2.weight": "model-00004-of-00004.safetensors",
|
| 482 |
+
"model.visual.blocks.12.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 483 |
+
"model.visual.blocks.12.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 484 |
+
"model.visual.blocks.12.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 485 |
+
"model.visual.blocks.12.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 486 |
+
"model.visual.blocks.12.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 487 |
+
"model.visual.blocks.12.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 488 |
+
"model.visual.blocks.12.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 489 |
+
"model.visual.blocks.12.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 490 |
+
"model.visual.blocks.12.norm1.bias": "model-00004-of-00004.safetensors",
|
| 491 |
+
"model.visual.blocks.12.norm1.weight": "model-00004-of-00004.safetensors",
|
| 492 |
+
"model.visual.blocks.12.norm2.bias": "model-00004-of-00004.safetensors",
|
| 493 |
+
"model.visual.blocks.12.norm2.weight": "model-00004-of-00004.safetensors",
|
| 494 |
+
"model.visual.blocks.13.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 495 |
+
"model.visual.blocks.13.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 496 |
+
"model.visual.blocks.13.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 497 |
+
"model.visual.blocks.13.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 498 |
+
"model.visual.blocks.13.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 499 |
+
"model.visual.blocks.13.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 500 |
+
"model.visual.blocks.13.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 501 |
+
"model.visual.blocks.13.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 502 |
+
"model.visual.blocks.13.norm1.bias": "model-00004-of-00004.safetensors",
|
| 503 |
+
"model.visual.blocks.13.norm1.weight": "model-00004-of-00004.safetensors",
|
| 504 |
+
"model.visual.blocks.13.norm2.bias": "model-00004-of-00004.safetensors",
|
| 505 |
+
"model.visual.blocks.13.norm2.weight": "model-00004-of-00004.safetensors",
|
| 506 |
+
"model.visual.blocks.14.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 507 |
+
"model.visual.blocks.14.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 508 |
+
"model.visual.blocks.14.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 509 |
+
"model.visual.blocks.14.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 510 |
+
"model.visual.blocks.14.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 511 |
+
"model.visual.blocks.14.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 512 |
+
"model.visual.blocks.14.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 513 |
+
"model.visual.blocks.14.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 514 |
+
"model.visual.blocks.14.norm1.bias": "model-00004-of-00004.safetensors",
|
| 515 |
+
"model.visual.blocks.14.norm1.weight": "model-00004-of-00004.safetensors",
|
| 516 |
+
"model.visual.blocks.14.norm2.bias": "model-00004-of-00004.safetensors",
|
| 517 |
+
"model.visual.blocks.14.norm2.weight": "model-00004-of-00004.safetensors",
|
| 518 |
+
"model.visual.blocks.15.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 519 |
+
"model.visual.blocks.15.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 520 |
+
"model.visual.blocks.15.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 521 |
+
"model.visual.blocks.15.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 522 |
+
"model.visual.blocks.15.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 523 |
+
"model.visual.blocks.15.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 524 |
+
"model.visual.blocks.15.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 525 |
+
"model.visual.blocks.15.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 526 |
+
"model.visual.blocks.15.norm1.bias": "model-00004-of-00004.safetensors",
|
| 527 |
+
"model.visual.blocks.15.norm1.weight": "model-00004-of-00004.safetensors",
|
| 528 |
+
"model.visual.blocks.15.norm2.bias": "model-00004-of-00004.safetensors",
|
| 529 |
+
"model.visual.blocks.15.norm2.weight": "model-00004-of-00004.safetensors",
|
| 530 |
+
"model.visual.blocks.16.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 531 |
+
"model.visual.blocks.16.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 532 |
+
"model.visual.blocks.16.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 533 |
+
"model.visual.blocks.16.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 534 |
+
"model.visual.blocks.16.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 535 |
+
"model.visual.blocks.16.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 536 |
+
"model.visual.blocks.16.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 537 |
+
"model.visual.blocks.16.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 538 |
+
"model.visual.blocks.16.norm1.bias": "model-00004-of-00004.safetensors",
|
| 539 |
+
"model.visual.blocks.16.norm1.weight": "model-00004-of-00004.safetensors",
|
| 540 |
+
"model.visual.blocks.16.norm2.bias": "model-00004-of-00004.safetensors",
|
| 541 |
+
"model.visual.blocks.16.norm2.weight": "model-00004-of-00004.safetensors",
|
| 542 |
+
"model.visual.blocks.17.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 543 |
+
"model.visual.blocks.17.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 544 |
+
"model.visual.blocks.17.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 545 |
+
"model.visual.blocks.17.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 546 |
+
"model.visual.blocks.17.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 547 |
+
"model.visual.blocks.17.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 548 |
+
"model.visual.blocks.17.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 549 |
+
"model.visual.blocks.17.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 550 |
+
"model.visual.blocks.17.norm1.bias": "model-00004-of-00004.safetensors",
|
| 551 |
+
"model.visual.blocks.17.norm1.weight": "model-00004-of-00004.safetensors",
|
| 552 |
+
"model.visual.blocks.17.norm2.bias": "model-00004-of-00004.safetensors",
|
| 553 |
+
"model.visual.blocks.17.norm2.weight": "model-00004-of-00004.safetensors",
|
| 554 |
+
"model.visual.blocks.18.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 555 |
+
"model.visual.blocks.18.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 556 |
+
"model.visual.blocks.18.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 557 |
+
"model.visual.blocks.18.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 558 |
+
"model.visual.blocks.18.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 559 |
+
"model.visual.blocks.18.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 560 |
+
"model.visual.blocks.18.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 561 |
+
"model.visual.blocks.18.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 562 |
+
"model.visual.blocks.18.norm1.bias": "model-00004-of-00004.safetensors",
|
| 563 |
+
"model.visual.blocks.18.norm1.weight": "model-00004-of-00004.safetensors",
|
| 564 |
+
"model.visual.blocks.18.norm2.bias": "model-00004-of-00004.safetensors",
|
| 565 |
+
"model.visual.blocks.18.norm2.weight": "model-00004-of-00004.safetensors",
|
| 566 |
+
"model.visual.blocks.19.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 567 |
+
"model.visual.blocks.19.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 568 |
+
"model.visual.blocks.19.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 569 |
+
"model.visual.blocks.19.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 570 |
+
"model.visual.blocks.19.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 571 |
+
"model.visual.blocks.19.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 572 |
+
"model.visual.blocks.19.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 573 |
+
"model.visual.blocks.19.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 574 |
+
"model.visual.blocks.19.norm1.bias": "model-00004-of-00004.safetensors",
|
| 575 |
+
"model.visual.blocks.19.norm1.weight": "model-00004-of-00004.safetensors",
|
| 576 |
+
"model.visual.blocks.19.norm2.bias": "model-00004-of-00004.safetensors",
|
| 577 |
+
"model.visual.blocks.19.norm2.weight": "model-00004-of-00004.safetensors",
|
| 578 |
+
"model.visual.blocks.2.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 579 |
+
"model.visual.blocks.2.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 580 |
+
"model.visual.blocks.2.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 581 |
+
"model.visual.blocks.2.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 582 |
+
"model.visual.blocks.2.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 583 |
+
"model.visual.blocks.2.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 584 |
+
"model.visual.blocks.2.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 585 |
+
"model.visual.blocks.2.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 586 |
+
"model.visual.blocks.2.norm1.bias": "model-00004-of-00004.safetensors",
|
| 587 |
+
"model.visual.blocks.2.norm1.weight": "model-00004-of-00004.safetensors",
|
| 588 |
+
"model.visual.blocks.2.norm2.bias": "model-00004-of-00004.safetensors",
|
| 589 |
+
"model.visual.blocks.2.norm2.weight": "model-00004-of-00004.safetensors",
|
| 590 |
+
"model.visual.blocks.20.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 591 |
+
"model.visual.blocks.20.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 592 |
+
"model.visual.blocks.20.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 593 |
+
"model.visual.blocks.20.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 594 |
+
"model.visual.blocks.20.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 595 |
+
"model.visual.blocks.20.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 596 |
+
"model.visual.blocks.20.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 597 |
+
"model.visual.blocks.20.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 598 |
+
"model.visual.blocks.20.norm1.bias": "model-00004-of-00004.safetensors",
|
| 599 |
+
"model.visual.blocks.20.norm1.weight": "model-00004-of-00004.safetensors",
|
| 600 |
+
"model.visual.blocks.20.norm2.bias": "model-00004-of-00004.safetensors",
|
| 601 |
+
"model.visual.blocks.20.norm2.weight": "model-00004-of-00004.safetensors",
|
| 602 |
+
"model.visual.blocks.21.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 603 |
+
"model.visual.blocks.21.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 604 |
+
"model.visual.blocks.21.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 605 |
+
"model.visual.blocks.21.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 606 |
+
"model.visual.blocks.21.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 607 |
+
"model.visual.blocks.21.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 608 |
+
"model.visual.blocks.21.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 609 |
+
"model.visual.blocks.21.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 610 |
+
"model.visual.blocks.21.norm1.bias": "model-00004-of-00004.safetensors",
|
| 611 |
+
"model.visual.blocks.21.norm1.weight": "model-00004-of-00004.safetensors",
|
| 612 |
+
"model.visual.blocks.21.norm2.bias": "model-00004-of-00004.safetensors",
|
| 613 |
+
"model.visual.blocks.21.norm2.weight": "model-00004-of-00004.safetensors",
|
| 614 |
+
"model.visual.blocks.22.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 615 |
+
"model.visual.blocks.22.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 616 |
+
"model.visual.blocks.22.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 617 |
+
"model.visual.blocks.22.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 618 |
+
"model.visual.blocks.22.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 619 |
+
"model.visual.blocks.22.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 620 |
+
"model.visual.blocks.22.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 621 |
+
"model.visual.blocks.22.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 622 |
+
"model.visual.blocks.22.norm1.bias": "model-00004-of-00004.safetensors",
|
| 623 |
+
"model.visual.blocks.22.norm1.weight": "model-00004-of-00004.safetensors",
|
| 624 |
+
"model.visual.blocks.22.norm2.bias": "model-00004-of-00004.safetensors",
|
| 625 |
+
"model.visual.blocks.22.norm2.weight": "model-00004-of-00004.safetensors",
|
| 626 |
+
"model.visual.blocks.23.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 627 |
+
"model.visual.blocks.23.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 628 |
+
"model.visual.blocks.23.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 629 |
+
"model.visual.blocks.23.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 630 |
+
"model.visual.blocks.23.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 631 |
+
"model.visual.blocks.23.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 632 |
+
"model.visual.blocks.23.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 633 |
+
"model.visual.blocks.23.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 634 |
+
"model.visual.blocks.23.norm1.bias": "model-00004-of-00004.safetensors",
|
| 635 |
+
"model.visual.blocks.23.norm1.weight": "model-00004-of-00004.safetensors",
|
| 636 |
+
"model.visual.blocks.23.norm2.bias": "model-00004-of-00004.safetensors",
|
| 637 |
+
"model.visual.blocks.23.norm2.weight": "model-00004-of-00004.safetensors",
|
| 638 |
+
"model.visual.blocks.24.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 639 |
+
"model.visual.blocks.24.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 640 |
+
"model.visual.blocks.24.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 641 |
+
"model.visual.blocks.24.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 642 |
+
"model.visual.blocks.24.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 643 |
+
"model.visual.blocks.24.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 644 |
+
"model.visual.blocks.24.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 645 |
+
"model.visual.blocks.24.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 646 |
+
"model.visual.blocks.24.norm1.bias": "model-00004-of-00004.safetensors",
|
| 647 |
+
"model.visual.blocks.24.norm1.weight": "model-00004-of-00004.safetensors",
|
| 648 |
+
"model.visual.blocks.24.norm2.bias": "model-00004-of-00004.safetensors",
|
| 649 |
+
"model.visual.blocks.24.norm2.weight": "model-00004-of-00004.safetensors",
|
| 650 |
+
"model.visual.blocks.25.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 651 |
+
"model.visual.blocks.25.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 652 |
+
"model.visual.blocks.25.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 653 |
+
"model.visual.blocks.25.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 654 |
+
"model.visual.blocks.25.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 655 |
+
"model.visual.blocks.25.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 656 |
+
"model.visual.blocks.25.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 657 |
+
"model.visual.blocks.25.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 658 |
+
"model.visual.blocks.25.norm1.bias": "model-00004-of-00004.safetensors",
|
| 659 |
+
"model.visual.blocks.25.norm1.weight": "model-00004-of-00004.safetensors",
|
| 660 |
+
"model.visual.blocks.25.norm2.bias": "model-00004-of-00004.safetensors",
|
| 661 |
+
"model.visual.blocks.25.norm2.weight": "model-00004-of-00004.safetensors",
|
| 662 |
+
"model.visual.blocks.26.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 663 |
+
"model.visual.blocks.26.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 664 |
+
"model.visual.blocks.26.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 665 |
+
"model.visual.blocks.26.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 666 |
+
"model.visual.blocks.26.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 667 |
+
"model.visual.blocks.26.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 668 |
+
"model.visual.blocks.26.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 669 |
+
"model.visual.blocks.26.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 670 |
+
"model.visual.blocks.26.norm1.bias": "model-00004-of-00004.safetensors",
|
| 671 |
+
"model.visual.blocks.26.norm1.weight": "model-00004-of-00004.safetensors",
|
| 672 |
+
"model.visual.blocks.26.norm2.bias": "model-00004-of-00004.safetensors",
|
| 673 |
+
"model.visual.blocks.26.norm2.weight": "model-00004-of-00004.safetensors",
|
| 674 |
+
"model.visual.blocks.3.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 675 |
+
"model.visual.blocks.3.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 676 |
+
"model.visual.blocks.3.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 677 |
+
"model.visual.blocks.3.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 678 |
+
"model.visual.blocks.3.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 679 |
+
"model.visual.blocks.3.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 680 |
+
"model.visual.blocks.3.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 681 |
+
"model.visual.blocks.3.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 682 |
+
"model.visual.blocks.3.norm1.bias": "model-00004-of-00004.safetensors",
|
| 683 |
+
"model.visual.blocks.3.norm1.weight": "model-00004-of-00004.safetensors",
|
| 684 |
+
"model.visual.blocks.3.norm2.bias": "model-00004-of-00004.safetensors",
|
| 685 |
+
"model.visual.blocks.3.norm2.weight": "model-00004-of-00004.safetensors",
|
| 686 |
+
"model.visual.blocks.4.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 687 |
+
"model.visual.blocks.4.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 688 |
+
"model.visual.blocks.4.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 689 |
+
"model.visual.blocks.4.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 690 |
+
"model.visual.blocks.4.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 691 |
+
"model.visual.blocks.4.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 692 |
+
"model.visual.blocks.4.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 693 |
+
"model.visual.blocks.4.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 694 |
+
"model.visual.blocks.4.norm1.bias": "model-00004-of-00004.safetensors",
|
| 695 |
+
"model.visual.blocks.4.norm1.weight": "model-00004-of-00004.safetensors",
|
| 696 |
+
"model.visual.blocks.4.norm2.bias": "model-00004-of-00004.safetensors",
|
| 697 |
+
"model.visual.blocks.4.norm2.weight": "model-00004-of-00004.safetensors",
|
| 698 |
+
"model.visual.blocks.5.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 699 |
+
"model.visual.blocks.5.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 700 |
+
"model.visual.blocks.5.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 701 |
+
"model.visual.blocks.5.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 702 |
+
"model.visual.blocks.5.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 703 |
+
"model.visual.blocks.5.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 704 |
+
"model.visual.blocks.5.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 705 |
+
"model.visual.blocks.5.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 706 |
+
"model.visual.blocks.5.norm1.bias": "model-00004-of-00004.safetensors",
|
| 707 |
+
"model.visual.blocks.5.norm1.weight": "model-00004-of-00004.safetensors",
|
| 708 |
+
"model.visual.blocks.5.norm2.bias": "model-00004-of-00004.safetensors",
|
| 709 |
+
"model.visual.blocks.5.norm2.weight": "model-00004-of-00004.safetensors",
|
| 710 |
+
"model.visual.blocks.6.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 711 |
+
"model.visual.blocks.6.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 712 |
+
"model.visual.blocks.6.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 713 |
+
"model.visual.blocks.6.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 714 |
+
"model.visual.blocks.6.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 715 |
+
"model.visual.blocks.6.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 716 |
+
"model.visual.blocks.6.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 717 |
+
"model.visual.blocks.6.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 718 |
+
"model.visual.blocks.6.norm1.bias": "model-00004-of-00004.safetensors",
|
| 719 |
+
"model.visual.blocks.6.norm1.weight": "model-00004-of-00004.safetensors",
|
| 720 |
+
"model.visual.blocks.6.norm2.bias": "model-00004-of-00004.safetensors",
|
| 721 |
+
"model.visual.blocks.6.norm2.weight": "model-00004-of-00004.safetensors",
|
| 722 |
+
"model.visual.blocks.7.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 723 |
+
"model.visual.blocks.7.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 724 |
+
"model.visual.blocks.7.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 725 |
+
"model.visual.blocks.7.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 726 |
+
"model.visual.blocks.7.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 727 |
+
"model.visual.blocks.7.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 728 |
+
"model.visual.blocks.7.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 729 |
+
"model.visual.blocks.7.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 730 |
+
"model.visual.blocks.7.norm1.bias": "model-00004-of-00004.safetensors",
|
| 731 |
+
"model.visual.blocks.7.norm1.weight": "model-00004-of-00004.safetensors",
|
| 732 |
+
"model.visual.blocks.7.norm2.bias": "model-00004-of-00004.safetensors",
|
| 733 |
+
"model.visual.blocks.7.norm2.weight": "model-00004-of-00004.safetensors",
|
| 734 |
+
"model.visual.blocks.8.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 735 |
+
"model.visual.blocks.8.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 736 |
+
"model.visual.blocks.8.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 737 |
+
"model.visual.blocks.8.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 738 |
+
"model.visual.blocks.8.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 739 |
+
"model.visual.blocks.8.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 740 |
+
"model.visual.blocks.8.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 741 |
+
"model.visual.blocks.8.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 742 |
+
"model.visual.blocks.8.norm1.bias": "model-00004-of-00004.safetensors",
|
| 743 |
+
"model.visual.blocks.8.norm1.weight": "model-00004-of-00004.safetensors",
|
| 744 |
+
"model.visual.blocks.8.norm2.bias": "model-00004-of-00004.safetensors",
|
| 745 |
+
"model.visual.blocks.8.norm2.weight": "model-00004-of-00004.safetensors",
|
| 746 |
+
"model.visual.blocks.9.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 747 |
+
"model.visual.blocks.9.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 748 |
+
"model.visual.blocks.9.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 749 |
+
"model.visual.blocks.9.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 750 |
+
"model.visual.blocks.9.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 751 |
+
"model.visual.blocks.9.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 752 |
+
"model.visual.blocks.9.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 753 |
+
"model.visual.blocks.9.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 754 |
+
"model.visual.blocks.9.norm1.bias": "model-00004-of-00004.safetensors",
|
| 755 |
+
"model.visual.blocks.9.norm1.weight": "model-00004-of-00004.safetensors",
|
| 756 |
+
"model.visual.blocks.9.norm2.bias": "model-00004-of-00004.safetensors",
|
| 757 |
+
"model.visual.blocks.9.norm2.weight": "model-00004-of-00004.safetensors",
|
| 758 |
+
"model.visual.merger.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 759 |
+
"model.visual.merger.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 760 |
+
"model.visual.merger.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 761 |
+
"model.visual.merger.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 762 |
+
"model.visual.merger.norm.bias": "model-00004-of-00004.safetensors",
|
| 763 |
+
"model.visual.merger.norm.weight": "model-00004-of-00004.safetensors",
|
| 764 |
+
"model.visual.patch_embed.proj.bias": "model-00004-of-00004.safetensors",
|
| 765 |
+
"model.visual.patch_embed.proj.weight": "model-00004-of-00004.safetensors",
|
| 766 |
+
"model.visual.pos_embed.weight": "model-00004-of-00004.safetensors"
|
| 767 |
+
}
|
| 768 |
+
}
|
m1_proposer_answer/round_4/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
m1_proposer_answer/round_4/processor_config.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"max_video_tokens": 768,
|
| 48 |
+
"merge_size": 2,
|
| 49 |
+
"min_frames": 4,
|
| 50 |
+
"patch_size": 16,
|
| 51 |
+
"resample": 3,
|
| 52 |
+
"rescale_factor": 0.00392156862745098,
|
| 53 |
+
"return_metadata": false,
|
| 54 |
+
"size": {
|
| 55 |
+
"longest_edge": 25165824,
|
| 56 |
+
"shortest_edge": 4096
|
| 57 |
+
},
|
| 58 |
+
"temporal_patch_size": 2,
|
| 59 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 60 |
+
}
|
| 61 |
+
}
|
m1_proposer_answer/round_4/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
m1_proposer_answer/round_4/tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": true,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|
m1_proposer_answer/round_4/trainer_state.json
ADDED
|
@@ -0,0 +1,2454 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 16.0,
|
| 7 |
+
"global_step": 160,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.55078125,
|
| 19 |
+
"completions/max_length": 2048.0,
|
| 20 |
+
"completions/mean_length": 1525.2734375,
|
| 21 |
+
"completions/min_length": 84.0,
|
| 22 |
+
"epoch": 0.00625,
|
| 23 |
+
"frac_reward_zero_std": 0.8125,
|
| 24 |
+
"grad_norm": 1.5855634294426335,
|
| 25 |
+
"kl": 0.0,
|
| 26 |
+
"learning_rate": 2e-07,
|
| 27 |
+
"loss": -5.587935447692871e-09,
|
| 28 |
+
"reward": 0.08984375,
|
| 29 |
+
"reward_std": 0.08219628036022186,
|
| 30 |
+
"rewards/MajorityAccuracy/mean": 0.08984375,
|
| 31 |
+
"rewards/MajorityAccuracy/std": 0.2865179181098938,
|
| 32 |
+
"step": 1,
|
| 33 |
+
"step_time": 174.80685959057882
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"clip_ratio/high_max": 0.0,
|
| 37 |
+
"clip_ratio/high_mean": 0.0,
|
| 38 |
+
"clip_ratio/low_mean": 0.0,
|
| 39 |
+
"clip_ratio/low_min": 0.0,
|
| 40 |
+
"clip_ratio/region_mean": 0.0,
|
| 41 |
+
"epoch": 0.0125,
|
| 42 |
+
"grad_norm": 2.165145902501783,
|
| 43 |
+
"kl": 0.0,
|
| 44 |
+
"learning_rate": 4e-07,
|
| 45 |
+
"loss": -9.313225746154785e-10,
|
| 46 |
+
"step": 2,
|
| 47 |
+
"step_time": 25.38299426762387
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"clip_ratio/high_max": 0.0,
|
| 51 |
+
"clip_ratio/high_mean": 0.0,
|
| 52 |
+
"clip_ratio/low_mean": 0.0,
|
| 53 |
+
"clip_ratio/low_min": 0.0,
|
| 54 |
+
"clip_ratio/region_mean": 0.0,
|
| 55 |
+
"epoch": 0.01875,
|
| 56 |
+
"grad_norm": 0.003936605221262607,
|
| 57 |
+
"kl": 0.0001640061855141539,
|
| 58 |
+
"learning_rate": 6e-07,
|
| 59 |
+
"loss": 1.641672042751452e-06,
|
| 60 |
+
"step": 3,
|
| 61 |
+
"step_time": 24.188885196577758
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"clip_ratio/high_max": 0.0,
|
| 65 |
+
"clip_ratio/high_mean": 0.0,
|
| 66 |
+
"clip_ratio/low_mean": 0.0,
|
| 67 |
+
"clip_ratio/low_min": 0.0,
|
| 68 |
+
"clip_ratio/region_mean": 0.0,
|
| 69 |
+
"epoch": 0.025,
|
| 70 |
+
"grad_norm": 0.005249782149949664,
|
| 71 |
+
"kl": 0.00020398464403115213,
|
| 72 |
+
"learning_rate": 8e-07,
|
| 73 |
+
"loss": 2.0410254819580587e-06,
|
| 74 |
+
"step": 4,
|
| 75 |
+
"step_time": 26.748127474449575
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"clip_ratio/high_max": 0.0,
|
| 79 |
+
"clip_ratio/high_mean": 0.0,
|
| 80 |
+
"clip_ratio/low_mean": 0.0,
|
| 81 |
+
"clip_ratio/low_min": 0.0,
|
| 82 |
+
"clip_ratio/region_mean": 0.0,
|
| 83 |
+
"epoch": 0.03125,
|
| 84 |
+
"grad_norm": 0.0021020471994668663,
|
| 85 |
+
"kl": 0.00021377441589720547,
|
| 86 |
+
"learning_rate": 1e-06,
|
| 87 |
+
"loss": 2.1395117073552683e-06,
|
| 88 |
+
"step": 5,
|
| 89 |
+
"step_time": 26.906961496919394
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"clip_ratio/high_max": 0.0006818879410275258,
|
| 93 |
+
"clip_ratio/high_mean": 0.00017047198525688145,
|
| 94 |
+
"clip_ratio/low_mean": 0.000213623046875,
|
| 95 |
+
"clip_ratio/low_min": 0.0,
|
| 96 |
+
"clip_ratio/region_mean": 0.00038409504122682847,
|
| 97 |
+
"epoch": 0.0375,
|
| 98 |
+
"grad_norm": 1.1348167494552546,
|
| 99 |
+
"kl": 0.00018118368461728096,
|
| 100 |
+
"learning_rate": 9.998973021172564e-07,
|
| 101 |
+
"loss": 1.8897379050031304e-05,
|
| 102 |
+
"step": 6,
|
| 103 |
+
"step_time": 26.79167087143287
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"clip_ratio/high_max": 0.0003906250058207661,
|
| 107 |
+
"clip_ratio/high_mean": 9.765625145519152e-05,
|
| 108 |
+
"clip_ratio/low_mean": 0.00024645253688504454,
|
| 109 |
+
"clip_ratio/low_min": 0.0,
|
| 110 |
+
"clip_ratio/region_mean": 0.00034410878834023606,
|
| 111 |
+
"epoch": 0.04375,
|
| 112 |
+
"grad_norm": 0.9376624109573959,
|
| 113 |
+
"kl": 0.0003792954757955158,
|
| 114 |
+
"learning_rate": 9.99589250656446e-07,
|
| 115 |
+
"loss": 8.874018385540694e-05,
|
| 116 |
+
"step": 7,
|
| 117 |
+
"step_time": 26.69592957245186
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"clip_ratio/high_max": 0.0027765142149291933,
|
| 121 |
+
"clip_ratio/high_mean": 0.0006941285537322983,
|
| 122 |
+
"clip_ratio/low_mean": 0.00016269530533463694,
|
| 123 |
+
"clip_ratio/low_min": 0.0,
|
| 124 |
+
"clip_ratio/region_mean": 0.0008568238590669353,
|
| 125 |
+
"epoch": 0.05,
|
| 126 |
+
"grad_norm": 2.7212967161280157,
|
| 127 |
+
"kl": 0.00032389998887083493,
|
| 128 |
+
"learning_rate": 9.990759721625005e-07,
|
| 129 |
+
"loss": 3.3185893698828295e-05,
|
| 130 |
+
"step": 8,
|
| 131 |
+
"step_time": 26.69499231921509
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"clip_ratio/high_max": 0.0,
|
| 135 |
+
"clip_ratio/high_mean": 0.0,
|
| 136 |
+
"clip_ratio/low_mean": 0.0,
|
| 137 |
+
"clip_ratio/low_min": 0.0,
|
| 138 |
+
"clip_ratio/region_mean": 0.0,
|
| 139 |
+
"completions/clipped_ratio": 0.45703125,
|
| 140 |
+
"completions/max_length": 2048.0,
|
| 141 |
+
"completions/mean_length": 1269.859375,
|
| 142 |
+
"completions/min_length": 62.0,
|
| 143 |
+
"epoch": 0.05625,
|
| 144 |
+
"frac_reward_zero_std": 0.78125,
|
| 145 |
+
"grad_norm": 0.004227666600075605,
|
| 146 |
+
"kl": 0.00016833825793582946,
|
| 147 |
+
"learning_rate": 9.983576774858775e-07,
|
| 148 |
+
"loss": 1.6849683106556768e-06,
|
| 149 |
+
"reward": 0.140625,
|
| 150 |
+
"reward_std": 0.10296659171581268,
|
| 151 |
+
"rewards/MajorityAccuracy/mean": 0.140625,
|
| 152 |
+
"rewards/MajorityAccuracy/std": 0.3483152687549591,
|
| 153 |
+
"step": 9,
|
| 154 |
+
"step_time": 153.41325260838494
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"clip_ratio/high_max": 0.0038772005354985595,
|
| 158 |
+
"clip_ratio/high_mean": 0.001017475879052654,
|
| 159 |
+
"clip_ratio/low_mean": 0.0003277660071034916,
|
| 160 |
+
"clip_ratio/low_min": 0.0,
|
| 161 |
+
"clip_ratio/region_mean": 0.001345241893432103,
|
| 162 |
+
"epoch": 0.0625,
|
| 163 |
+
"grad_norm": 1.5471296498596923,
|
| 164 |
+
"kl": 0.00044635043559537735,
|
| 165 |
+
"learning_rate": 9.974346616959475e-07,
|
| 166 |
+
"loss": -0.00011196950072189793,
|
| 167 |
+
"step": 10,
|
| 168 |
+
"step_time": 21.256472832988948
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"clip_ratio/high_max": 0.002423692509182729,
|
| 172 |
+
"clip_ratio/high_mean": 0.0006059231272956822,
|
| 173 |
+
"clip_ratio/low_mean": 0.00038184432924026623,
|
| 174 |
+
"clip_ratio/low_min": 0.0,
|
| 175 |
+
"clip_ratio/region_mean": 0.0009877674565359484,
|
| 176 |
+
"epoch": 0.06875,
|
| 177 |
+
"grad_norm": 2.382264504067121,
|
| 178 |
+
"kl": 0.0005312204229994677,
|
| 179 |
+
"learning_rate": 9.963073039597796e-07,
|
| 180 |
+
"loss": 0.00018355547217652202,
|
| 181 |
+
"step": 11,
|
| 182 |
+
"step_time": 26.84297693753615
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"clip_ratio/high_max": 0.0026691158418543637,
|
| 186 |
+
"clip_ratio/high_mean": 0.0006672789604635909,
|
| 187 |
+
"clip_ratio/low_mean": 1.52587890625e-05,
|
| 188 |
+
"clip_ratio/low_min": 0.0,
|
| 189 |
+
"clip_ratio/region_mean": 0.0006825377495260909,
|
| 190 |
+
"epoch": 0.075,
|
| 191 |
+
"grad_norm": 3.509359236054752,
|
| 192 |
+
"kl": 0.0005581989244092256,
|
| 193 |
+
"learning_rate": 9.949760673863846e-07,
|
| 194 |
+
"loss": 0.00012759221135638654,
|
| 195 |
+
"step": 12,
|
| 196 |
+
"step_time": 25.788717805873603
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"clip_ratio/high_max": 0.0,
|
| 200 |
+
"clip_ratio/high_mean": 0.0,
|
| 201 |
+
"clip_ratio/low_mean": 0.0,
|
| 202 |
+
"clip_ratio/low_min": 0.0,
|
| 203 |
+
"clip_ratio/region_mean": 0.0,
|
| 204 |
+
"epoch": 0.08125,
|
| 205 |
+
"grad_norm": 0.0038935796487304187,
|
| 206 |
+
"kl": 0.0003807517459790688,
|
| 207 |
+
"learning_rate": 9.934414988364722e-07,
|
| 208 |
+
"loss": 3.811847136603319e-06,
|
| 209 |
+
"step": 13,
|
| 210 |
+
"step_time": 26.48237101593986
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"clip_ratio/high_max": 0.0,
|
| 214 |
+
"clip_ratio/high_mean": 0.0,
|
| 215 |
+
"clip_ratio/low_mean": 0.0,
|
| 216 |
+
"clip_ratio/low_min": 0.0,
|
| 217 |
+
"clip_ratio/region_mean": 0.0,
|
| 218 |
+
"epoch": 0.0875,
|
| 219 |
+
"grad_norm": 0.006008075010579139,
|
| 220 |
+
"kl": 0.00042057037353515625,
|
| 221 |
+
"learning_rate": 9.917042286978063e-07,
|
| 222 |
+
"loss": 4.208326572552323e-06,
|
| 223 |
+
"step": 14,
|
| 224 |
+
"step_time": 27.057982010301203
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"clip_ratio/high_max": 0.0,
|
| 228 |
+
"clip_ratio/high_mean": 0.0,
|
| 229 |
+
"clip_ratio/low_mean": 0.0,
|
| 230 |
+
"clip_ratio/low_min": 0.0,
|
| 231 |
+
"clip_ratio/region_mean": 0.0,
|
| 232 |
+
"epoch": 0.09375,
|
| 233 |
+
"grad_norm": 0.012276562781729687,
|
| 234 |
+
"kl": 0.0008454079215880483,
|
| 235 |
+
"learning_rate": 9.897649706262473e-07,
|
| 236 |
+
"loss": 8.462753612548113e-06,
|
| 237 |
+
"step": 15,
|
| 238 |
+
"step_time": 26.71371734701097
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"clip_ratio/high_max": 0.0035242084704805166,
|
| 242 |
+
"clip_ratio/high_mean": 0.0008810521176201291,
|
| 243 |
+
"clip_ratio/low_mean": 0.00021990109235048294,
|
| 244 |
+
"clip_ratio/low_min": 0.0,
|
| 245 |
+
"clip_ratio/region_mean": 0.001100953209970612,
|
| 246 |
+
"epoch": 0.1,
|
| 247 |
+
"grad_norm": 0.8649105463590022,
|
| 248 |
+
"kl": 0.0006839230263722129,
|
| 249 |
+
"learning_rate": 9.87624521252587e-07,
|
| 250 |
+
"loss": 0.0002159174910048023,
|
| 251 |
+
"step": 16,
|
| 252 |
+
"step_time": 26.82293751416728
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"clip_ratio/high_max": 0.0,
|
| 256 |
+
"clip_ratio/high_mean": 0.0,
|
| 257 |
+
"clip_ratio/low_mean": 0.0,
|
| 258 |
+
"clip_ratio/low_min": 0.0,
|
| 259 |
+
"clip_ratio/region_mean": 0.0,
|
| 260 |
+
"completions/clipped_ratio": 0.40625,
|
| 261 |
+
"completions/max_length": 2048.0,
|
| 262 |
+
"completions/mean_length": 1351.90625,
|
| 263 |
+
"completions/min_length": 116.0,
|
| 264 |
+
"epoch": 0.10625,
|
| 265 |
+
"frac_reward_zero_std": 0.8125,
|
| 266 |
+
"grad_norm": 0.006628396431093072,
|
| 267 |
+
"kl": 0.0007910056374385022,
|
| 268 |
+
"learning_rate": 9.852837598553008e-07,
|
| 269 |
+
"loss": 7.910994099802338e-06,
|
| 270 |
+
"reward": 0.0390625,
|
| 271 |
+
"reward_std": 0.07825091481208801,
|
| 272 |
+
"rewards/MajorityAccuracy/mean": 0.0390625,
|
| 273 |
+
"rewards/MajorityAccuracy/std": 0.19412320852279663,
|
| 274 |
+
"step": 17,
|
| 275 |
+
"step_time": 154.60403453418985
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"clip_ratio/high_max": 0.000714581023203209,
|
| 279 |
+
"clip_ratio/high_mean": 0.00017864525580080226,
|
| 280 |
+
"clip_ratio/low_mean": 0.0003767125126614701,
|
| 281 |
+
"clip_ratio/low_min": 0.0,
|
| 282 |
+
"clip_ratio/region_mean": 0.0005553577575483359,
|
| 283 |
+
"epoch": 0.1125,
|
| 284 |
+
"grad_norm": 2.137951107870106,
|
| 285 |
+
"kl": 0.0009397834583069198,
|
| 286 |
+
"learning_rate": 9.827436479993468e-07,
|
| 287 |
+
"loss": 0.00014759317855350673,
|
| 288 |
+
"step": 18,
|
| 289 |
+
"step_time": 26.26782966312021
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"clip_ratio/high_max": 0.0,
|
| 293 |
+
"clip_ratio/high_mean": 0.0,
|
| 294 |
+
"clip_ratio/low_mean": 0.0,
|
| 295 |
+
"clip_ratio/low_min": 0.0,
|
| 296 |
+
"clip_ratio/region_mean": 0.0,
|
| 297 |
+
"epoch": 0.11875,
|
| 298 |
+
"grad_norm": 0.012765124008624644,
|
| 299 |
+
"kl": 0.001325015677139163,
|
| 300 |
+
"learning_rate": 9.800052291411629e-07,
|
| 301 |
+
"loss": 1.3260924788482953e-05,
|
| 302 |
+
"step": 19,
|
| 303 |
+
"step_time": 26.646937462035567
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"clip_ratio/high_max": 0.0,
|
| 307 |
+
"clip_ratio/high_mean": 0.0,
|
| 308 |
+
"clip_ratio/low_mean": 0.0,
|
| 309 |
+
"clip_ratio/low_min": 0.0,
|
| 310 |
+
"clip_ratio/region_mean": 0.0,
|
| 311 |
+
"epoch": 0.125,
|
| 312 |
+
"grad_norm": 0.019509981256903116,
|
| 313 |
+
"kl": 0.0018370799662079662,
|
| 314 |
+
"learning_rate": 9.770696282000244e-07,
|
| 315 |
+
"loss": 1.8375165382167324e-05,
|
| 316 |
+
"step": 20,
|
| 317 |
+
"step_time": 26.283644224051386
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"clip_ratio/high_max": 0.0,
|
| 321 |
+
"clip_ratio/high_mean": 0.0,
|
| 322 |
+
"clip_ratio/low_mean": 0.0,
|
| 323 |
+
"clip_ratio/low_min": 0.0,
|
| 324 |
+
"clip_ratio/region_mean": 0.0,
|
| 325 |
+
"epoch": 0.13125,
|
| 326 |
+
"grad_norm": 0.010366119162954357,
|
| 327 |
+
"kl": 0.0016154338227352127,
|
| 328 |
+
"learning_rate": 9.739380510959364e-07,
|
| 329 |
+
"loss": 1.6159299775608815e-05,
|
| 330 |
+
"step": 21,
|
| 331 |
+
"step_time": 26.183066695462912
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"clip_ratio/high_max": 0.00031725887674838305,
|
| 335 |
+
"clip_ratio/high_mean": 7.931471918709576e-05,
|
| 336 |
+
"clip_ratio/low_mean": 0.0010051262761407997,
|
| 337 |
+
"clip_ratio/low_min": 0.0,
|
| 338 |
+
"clip_ratio/region_mean": 0.0010844409953278955,
|
| 339 |
+
"epoch": 0.1375,
|
| 340 |
+
"grad_norm": 1.599626348343803,
|
| 341 |
+
"kl": 0.00293384023825638,
|
| 342 |
+
"learning_rate": 9.706117842542516e-07,
|
| 343 |
+
"loss": 1.905488534248434e-05,
|
| 344 |
+
"step": 22,
|
| 345 |
+
"step_time": 26.282124794553965
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"clip_ratio/high_max": 0.0025260625989176333,
|
| 349 |
+
"clip_ratio/high_mean": 0.0006315156497294083,
|
| 350 |
+
"clip_ratio/low_mean": 0.001326201730989851,
|
| 351 |
+
"clip_ratio/low_min": 0.0,
|
| 352 |
+
"clip_ratio/region_mean": 0.0019577173952711746,
|
| 353 |
+
"epoch": 0.14375,
|
| 354 |
+
"grad_norm": 1.6198069504975119,
|
| 355 |
+
"kl": 0.001934648971655406,
|
| 356 |
+
"learning_rate": 9.670921940772186e-07,
|
| 357 |
+
"loss": 0.0005363384843803942,
|
| 358 |
+
"step": 23,
|
| 359 |
+
"step_time": 26.47558382200077
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"clip_ratio/high_max": 0.0019163177930749953,
|
| 363 |
+
"clip_ratio/high_mean": 0.0004790794482687488,
|
| 364 |
+
"clip_ratio/low_mean": 0.0007631050393683836,
|
| 365 |
+
"clip_ratio/low_min": 0.0,
|
| 366 |
+
"clip_ratio/region_mean": 0.0012421844876371324,
|
| 367 |
+
"epoch": 0.15,
|
| 368 |
+
"grad_norm": 1.151559294568051,
|
| 369 |
+
"kl": 0.002165553960367106,
|
| 370 |
+
"learning_rate": 9.633807263826744e-07,
|
| 371 |
+
"loss": 0.00015021169383544475,
|
| 372 |
+
"step": 24,
|
| 373 |
+
"step_time": 26.05947334319353
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"clip_ratio/high_max": 0.0,
|
| 377 |
+
"clip_ratio/high_mean": 0.0,
|
| 378 |
+
"clip_ratio/low_mean": 0.0,
|
| 379 |
+
"clip_ratio/low_min": 0.0,
|
| 380 |
+
"clip_ratio/region_mean": 0.0,
|
| 381 |
+
"completions/clipped_ratio": 0.51953125,
|
| 382 |
+
"completions/max_length": 2048.0,
|
| 383 |
+
"completions/mean_length": 1440.90625,
|
| 384 |
+
"completions/min_length": 130.0,
|
| 385 |
+
"epoch": 0.15625,
|
| 386 |
+
"frac_reward_zero_std": 0.84375,
|
| 387 |
+
"grad_norm": 0.022812486047823204,
|
| 388 |
+
"kl": 0.00304620765382424,
|
| 389 |
+
"learning_rate": 9.594789058101153e-07,
|
| 390 |
+
"loss": 3.0477305699605495e-05,
|
| 391 |
+
"reward": 0.06640625,
|
| 392 |
+
"reward_std": 0.0672023743391037,
|
| 393 |
+
"rewards/MajorityAccuracy/mean": 0.06640625,
|
| 394 |
+
"rewards/MajorityAccuracy/std": 0.24947862327098846,
|
| 395 |
+
"step": 25,
|
| 396 |
+
"step_time": 158.2197629646398
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"clip_ratio/high_max": 0.00013425467477645725,
|
| 400 |
+
"clip_ratio/high_mean": 3.356366869411431e-05,
|
| 401 |
+
"clip_ratio/low_mean": 0.0004845228286285419,
|
| 402 |
+
"clip_ratio/low_min": 0.0,
|
| 403 |
+
"clip_ratio/region_mean": 0.0005180864955036668,
|
| 404 |
+
"epoch": 0.1625,
|
| 405 |
+
"grad_norm": 1.306185016577576,
|
| 406 |
+
"kl": 0.002753599197603762,
|
| 407 |
+
"learning_rate": 9.55388335194388e-07,
|
| 408 |
+
"loss": 0.00017947074957191944,
|
| 409 |
+
"step": 26,
|
| 410 |
+
"step_time": 26.131814343854785
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"clip_ratio/high_max": 0.0,
|
| 414 |
+
"clip_ratio/high_mean": 0.0,
|
| 415 |
+
"clip_ratio/low_mean": 0.0,
|
| 416 |
+
"clip_ratio/low_min": 0.0,
|
| 417 |
+
"clip_ratio/region_mean": 0.0,
|
| 418 |
+
"epoch": 0.16875,
|
| 419 |
+
"grad_norm": 0.016901271785461868,
|
| 420 |
+
"kl": 0.003087270481046289,
|
| 421 |
+
"learning_rate": 9.511106949072587e-07,
|
| 422 |
+
"loss": 3.088899393333122e-05,
|
| 423 |
+
"step": 27,
|
| 424 |
+
"step_time": 26.689695917535573
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"clip_ratio/high_max": 0.0,
|
| 428 |
+
"clip_ratio/high_mean": 0.0,
|
| 429 |
+
"clip_ratio/low_mean": 0.0,
|
| 430 |
+
"clip_ratio/low_min": 0.0,
|
| 431 |
+
"clip_ratio/region_mean": 0.0,
|
| 432 |
+
"epoch": 0.175,
|
| 433 |
+
"grad_norm": 0.00819388005480511,
|
| 434 |
+
"kl": 0.002079718600725755,
|
| 435 |
+
"learning_rate": 9.466477421671295e-07,
|
| 436 |
+
"loss": 2.080734702758491e-05,
|
| 437 |
+
"step": 28,
|
| 438 |
+
"step_time": 26.996559681836516
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"clip_ratio/high_max": 0.0021869045740459114,
|
| 442 |
+
"clip_ratio/high_mean": 0.0005467261435114779,
|
| 443 |
+
"clip_ratio/low_mean": 0.0003819437406491488,
|
| 444 |
+
"clip_ratio/low_min": 0.0,
|
| 445 |
+
"clip_ratio/region_mean": 0.0009286698841606267,
|
| 446 |
+
"epoch": 0.18125,
|
| 447 |
+
"grad_norm": 1.2242334853767711,
|
| 448 |
+
"kl": 0.0013615589268738404,
|
| 449 |
+
"learning_rate": 9.420013103171891e-07,
|
| 450 |
+
"loss": 0.00015741318929940462,
|
| 451 |
+
"step": 29,
|
| 452 |
+
"step_time": 26.873060846701264
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"clip_ratio/high_max": 0.0022881370678078383,
|
| 456 |
+
"clip_ratio/high_mean": 0.0005720342669519596,
|
| 457 |
+
"clip_ratio/low_mean": 1.52587890625e-05,
|
| 458 |
+
"clip_ratio/low_min": 0.0,
|
| 459 |
+
"clip_ratio/region_mean": 0.0005872930560144596,
|
| 460 |
+
"epoch": 0.1875,
|
| 461 |
+
"grad_norm": 0.9282242941970369,
|
| 462 |
+
"kl": 0.0043434593244455755,
|
| 463 |
+
"learning_rate": 9.37173308072291e-07,
|
| 464 |
+
"loss": 0.0001586515863891691,
|
| 465 |
+
"step": 30,
|
| 466 |
+
"step_time": 26.00743812415749
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"clip_ratio/high_max": 0.0,
|
| 470 |
+
"clip_ratio/high_mean": 0.0,
|
| 471 |
+
"clip_ratio/low_mean": 0.0,
|
| 472 |
+
"clip_ratio/low_min": 0.0,
|
| 473 |
+
"clip_ratio/region_mean": 0.0,
|
| 474 |
+
"epoch": 0.19375,
|
| 475 |
+
"grad_norm": 0.01396907741683682,
|
| 476 |
+
"kl": 0.002981315163196996,
|
| 477 |
+
"learning_rate": 9.321657187348688e-07,
|
| 478 |
+
"loss": 2.980841600219719e-05,
|
| 479 |
+
"step": 31,
|
| 480 |
+
"step_time": 26.4649884426035
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"clip_ratio/high_max": 0.0,
|
| 484 |
+
"clip_ratio/high_mean": 0.0,
|
| 485 |
+
"clip_ratio/low_mean": 0.0,
|
| 486 |
+
"clip_ratio/low_min": 0.0,
|
| 487 |
+
"clip_ratio/region_mean": 0.0,
|
| 488 |
+
"epoch": 0.2,
|
| 489 |
+
"grad_norm": 0.007413112209131834,
|
| 490 |
+
"kl": 0.0014830598374828696,
|
| 491 |
+
"learning_rate": 9.269805993802128e-07,
|
| 492 |
+
"loss": 1.4833090972388163e-05,
|
| 493 |
+
"step": 32,
|
| 494 |
+
"step_time": 26.90327849565074
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"clip_ratio/high_max": 0.0,
|
| 498 |
+
"clip_ratio/high_mean": 0.0,
|
| 499 |
+
"clip_ratio/low_mean": 0.0,
|
| 500 |
+
"clip_ratio/low_min": 0.0,
|
| 501 |
+
"clip_ratio/region_mean": 0.0,
|
| 502 |
+
"completions/clipped_ratio": 0.40625,
|
| 503 |
+
"completions/max_length": 2048.0,
|
| 504 |
+
"completions/mean_length": 1224.27734375,
|
| 505 |
+
"completions/min_length": 89.0,
|
| 506 |
+
"epoch": 0.20625,
|
| 507 |
+
"frac_reward_zero_std": 0.59375,
|
| 508 |
+
"grad_norm": 0.01409480302973915,
|
| 509 |
+
"kl": 0.0026485661510378122,
|
| 510 |
+
"learning_rate": 9.216200800114411e-07,
|
| 511 |
+
"loss": 2.6486553906579502e-05,
|
| 512 |
+
"reward": 0.140625,
|
| 513 |
+
"reward_std": 0.18345539271831512,
|
| 514 |
+
"rewards/MajorityAccuracy/mean": 0.140625,
|
| 515 |
+
"rewards/MajorityAccuracy/std": 0.3483152687549591,
|
| 516 |
+
"step": 33,
|
| 517 |
+
"step_time": 153.9490303141065
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"clip_ratio/high_max": 0.005017588729970157,
|
| 521 |
+
"clip_ratio/high_mean": 0.0013080913631711155,
|
| 522 |
+
"clip_ratio/low_mean": 0.0007296753501577768,
|
| 523 |
+
"clip_ratio/low_min": 0.0,
|
| 524 |
+
"clip_ratio/region_mean": 0.0020377667133288924,
|
| 525 |
+
"epoch": 0.2125,
|
| 526 |
+
"grad_norm": 4.98911027081921,
|
| 527 |
+
"kl": 0.004626472800737247,
|
| 528 |
+
"learning_rate": 9.160863626845119e-07,
|
| 529 |
+
"loss": 4.684473606175743e-05,
|
| 530 |
+
"step": 34,
|
| 531 |
+
"step_time": 26.537334248889238
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"clip_ratio/high_max": 0.0019482330390019342,
|
| 535 |
+
"clip_ratio/high_mean": 0.00048705825975048356,
|
| 536 |
+
"clip_ratio/low_mean": 0.0021162684497539885,
|
| 537 |
+
"clip_ratio/low_min": 0.0,
|
| 538 |
+
"clip_ratio/region_mean": 0.0026033267058664933,
|
| 539 |
+
"epoch": 0.21875,
|
| 540 |
+
"grad_norm": 3.2786259756744887,
|
| 541 |
+
"kl": 0.004981946607585996,
|
| 542 |
+
"learning_rate": 9.103817206036382e-07,
|
| 543 |
+
"loss": 0.0004667994799092412,
|
| 544 |
+
"step": 35,
|
| 545 |
+
"step_time": 26.785578893963248
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"clip_ratio/high_max": 0.0010687857866287231,
|
| 549 |
+
"clip_ratio/high_mean": 0.0003940400310966652,
|
| 550 |
+
"clip_ratio/low_mean": 0.00030791613971814513,
|
| 551 |
+
"clip_ratio/low_min": 0.0,
|
| 552 |
+
"clip_ratio/region_mean": 0.0007019561708148103,
|
| 553 |
+
"epoch": 0.225,
|
| 554 |
+
"grad_norm": 1.0869254662133332,
|
| 555 |
+
"kl": 0.0035577781090978533,
|
| 556 |
+
"learning_rate": 9.045084971874737e-07,
|
| 557 |
+
"loss": 0.0001339259761152789,
|
| 558 |
+
"step": 36,
|
| 559 |
+
"step_time": 27.0499013713561
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"clip_ratio/high_max": 0.0,
|
| 563 |
+
"clip_ratio/high_mean": 0.0,
|
| 564 |
+
"clip_ratio/low_mean": 0.0,
|
| 565 |
+
"clip_ratio/low_min": 0.0,
|
| 566 |
+
"clip_ratio/region_mean": 0.0,
|
| 567 |
+
"epoch": 0.23125,
|
| 568 |
+
"grad_norm": 0.00882039196330934,
|
| 569 |
+
"kl": 0.0023497868387494236,
|
| 570 |
+
"learning_rate": 8.984691051064574e-07,
|
| 571 |
+
"loss": 2.3515249267802574e-05,
|
| 572 |
+
"step": 37,
|
| 573 |
+
"step_time": 26.801699930336326
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"clip_ratio/high_max": 0.0004922071238979697,
|
| 577 |
+
"clip_ratio/high_mean": 0.0001718037310638465,
|
| 578 |
+
"clip_ratio/low_mean": 0.0005969072517473251,
|
| 579 |
+
"clip_ratio/low_min": 0.0,
|
| 580 |
+
"clip_ratio/region_mean": 0.0007687109828111716,
|
| 581 |
+
"epoch": 0.2375,
|
| 582 |
+
"grad_norm": 4.043621434262461,
|
| 583 |
+
"kl": 0.004015409213025123,
|
| 584 |
+
"learning_rate": 8.922660252917087e-07,
|
| 585 |
+
"loss": 0.00029460061341524124,
|
| 586 |
+
"step": 38,
|
| 587 |
+
"step_time": 26.231337994337082
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"clip_ratio/high_max": 0.0,
|
| 591 |
+
"clip_ratio/high_mean": 0.0,
|
| 592 |
+
"clip_ratio/low_mean": 0.0015730514423921704,
|
| 593 |
+
"clip_ratio/low_min": 0.0,
|
| 594 |
+
"clip_ratio/region_mean": 0.0015730514423921704,
|
| 595 |
+
"epoch": 0.24375,
|
| 596 |
+
"grad_norm": 3.2650069380861613,
|
| 597 |
+
"kl": 0.005107994191348553,
|
| 598 |
+
"learning_rate": 8.859018059158809e-07,
|
| 599 |
+
"loss": 0.0005129709606990218,
|
| 600 |
+
"step": 39,
|
| 601 |
+
"step_time": 26.825190206989646
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"clip_ratio/high_max": 0.0057927005691453815,
|
| 605 |
+
"clip_ratio/high_mean": 0.0018767268338706344,
|
| 606 |
+
"clip_ratio/low_mean": 0.0007366666541201994,
|
| 607 |
+
"clip_ratio/low_min": 0.0,
|
| 608 |
+
"clip_ratio/region_mean": 0.0026133934734389186,
|
| 609 |
+
"epoch": 0.25,
|
| 610 |
+
"grad_norm": 1.5622788566919585,
|
| 611 |
+
"kl": 0.004953356576152146,
|
| 612 |
+
"learning_rate": 8.793790613463954e-07,
|
| 613 |
+
"loss": 0.00022934359731152654,
|
| 614 |
+
"step": 40,
|
| 615 |
+
"step_time": 25.974773289635777
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"clip_ratio/high_max": 0.0,
|
| 619 |
+
"clip_ratio/high_mean": 0.0,
|
| 620 |
+
"clip_ratio/low_mean": 0.0,
|
| 621 |
+
"clip_ratio/low_min": 0.0,
|
| 622 |
+
"clip_ratio/region_mean": 0.0,
|
| 623 |
+
"completions/clipped_ratio": 0.3671875,
|
| 624 |
+
"completions/max_length": 2048.0,
|
| 625 |
+
"completions/mean_length": 1165.26953125,
|
| 626 |
+
"completions/min_length": 61.0,
|
| 627 |
+
"epoch": 0.25625,
|
| 628 |
+
"frac_reward_zero_std": 0.65625,
|
| 629 |
+
"grad_norm": 1.2581728545304511,
|
| 630 |
+
"kl": 0.0037004706100560725,
|
| 631 |
+
"learning_rate": 8.727004710714798e-07,
|
| 632 |
+
"loss": 3.698657383210957e-05,
|
| 633 |
+
"reward": 0.12109375,
|
| 634 |
+
"reward_std": 0.15228809416294098,
|
| 635 |
+
"rewards/MajorityAccuracy/mean": 0.12109375,
|
| 636 |
+
"rewards/MajorityAccuracy/std": 0.326875239610672,
|
| 637 |
+
"step": 41,
|
| 638 |
+
"step_time": 153.46444338792935
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"clip_ratio/high_max": 0.00035919540096074343,
|
| 642 |
+
"clip_ratio/high_mean": 8.979885024018586e-05,
|
| 643 |
+
"clip_ratio/low_mean": 8.333333244081587e-05,
|
| 644 |
+
"clip_ratio/low_min": 0.0,
|
| 645 |
+
"clip_ratio/region_mean": 0.00017313218268100172,
|
| 646 |
+
"epoch": 0.2625,
|
| 647 |
+
"grad_norm": 1.7026750916328066,
|
| 648 |
+
"kl": 0.007056270318571478,
|
| 649 |
+
"learning_rate": 8.658687785994578e-07,
|
| 650 |
+
"loss": 0.00027046602917835116,
|
| 651 |
+
"step": 42,
|
| 652 |
+
"step_time": 26.478986564558
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"clip_ratio/high_max": 0.0,
|
| 656 |
+
"clip_ratio/high_mean": 0.0,
|
| 657 |
+
"clip_ratio/low_mean": 0.0,
|
| 658 |
+
"clip_ratio/low_min": 0.0,
|
| 659 |
+
"clip_ratio/region_mean": 0.0,
|
| 660 |
+
"epoch": 0.26875,
|
| 661 |
+
"grad_norm": 0.04248638584336576,
|
| 662 |
+
"kl": 0.0065526512917131186,
|
| 663 |
+
"learning_rate": 8.588867903317394e-07,
|
| 664 |
+
"loss": 6.548019155161455e-05,
|
| 665 |
+
"step": 43,
|
| 666 |
+
"step_time": 26.82067649718374
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"clip_ratio/high_max": 0.003575111157260835,
|
| 670 |
+
"clip_ratio/high_mean": 0.0012468851346056908,
|
| 671 |
+
"clip_ratio/low_mean": 0.0018971008976222947,
|
| 672 |
+
"clip_ratio/low_min": 0.0,
|
| 673 |
+
"clip_ratio/region_mean": 0.003143986061331816,
|
| 674 |
+
"epoch": 0.275,
|
| 675 |
+
"grad_norm": 5.70802508090361,
|
| 676 |
+
"kl": 0.010734186740592122,
|
| 677 |
+
"learning_rate": 8.51757374409974e-07,
|
| 678 |
+
"loss": 0.0001650985941523686,
|
| 679 |
+
"step": 44,
|
| 680 |
+
"step_time": 21.706382260192186
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"clip_ratio/high_max": 0.0009517443249933422,
|
| 684 |
+
"clip_ratio/high_mean": 0.00023793608124833554,
|
| 685 |
+
"clip_ratio/low_mean": 0.001835793587815715,
|
| 686 |
+
"clip_ratio/low_min": 0.0,
|
| 687 |
+
"clip_ratio/region_mean": 0.0020737296690640505,
|
| 688 |
+
"epoch": 0.28125,
|
| 689 |
+
"grad_norm": 1.8453449716998525,
|
| 690 |
+
"kl": 0.0078413863084279,
|
| 691 |
+
"learning_rate": 8.444834595378433e-07,
|
| 692 |
+
"loss": 0.00039089357596822083,
|
| 693 |
+
"step": 45,
|
| 694 |
+
"step_time": 26.365806562360376
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"clip_ratio/high_max": 0.00046450181980617344,
|
| 698 |
+
"clip_ratio/high_mean": 0.00011612545495154336,
|
| 699 |
+
"clip_ratio/low_mean": 0.0004137636969971936,
|
| 700 |
+
"clip_ratio/low_min": 0.0,
|
| 701 |
+
"clip_ratio/region_mean": 0.000529889151948737,
|
| 702 |
+
"epoch": 0.2875,
|
| 703 |
+
"grad_norm": 0.8206897245506937,
|
| 704 |
+
"kl": 0.0034667749714571983,
|
| 705 |
+
"learning_rate": 8.370680337779736e-07,
|
| 706 |
+
"loss": 0.00010811365064000711,
|
| 707 |
+
"step": 46,
|
| 708 |
+
"step_time": 26.91992393648252
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"clip_ratio/high_max": 0.0006249999860301614,
|
| 712 |
+
"clip_ratio/high_mean": 0.00015624999650754035,
|
| 713 |
+
"clip_ratio/low_mean": 0.0006691688904538751,
|
| 714 |
+
"clip_ratio/low_min": 0.0,
|
| 715 |
+
"clip_ratio/region_mean": 0.0008254188869614154,
|
| 716 |
+
"epoch": 0.29375,
|
| 717 |
+
"grad_norm": 2.287364272441643,
|
| 718 |
+
"kl": 0.006025653041433543,
|
| 719 |
+
"learning_rate": 8.295141433244659e-07,
|
| 720 |
+
"loss": 0.00017279434541705996,
|
| 721 |
+
"step": 47,
|
| 722 |
+
"step_time": 26.329140985384583
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"clip_ratio/high_max": 0.008452283742371947,
|
| 726 |
+
"clip_ratio/high_mean": 0.00364149032975547,
|
| 727 |
+
"clip_ratio/low_mean": 0.0015348576853284612,
|
| 728 |
+
"clip_ratio/low_min": 0.0,
|
| 729 |
+
"clip_ratio/region_mean": 0.005176348029635847,
|
| 730 |
+
"epoch": 0.3,
|
| 731 |
+
"grad_norm": 3.4492117835172076,
|
| 732 |
+
"kl": 0.008215482055675238,
|
| 733 |
+
"learning_rate": 8.218248912515442e-07,
|
| 734 |
+
"loss": 0.00073571118991822,
|
| 735 |
+
"step": 48,
|
| 736 |
+
"step_time": 25.793956625275314
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"clip_ratio/high_max": 0.0,
|
| 740 |
+
"clip_ratio/high_mean": 0.0,
|
| 741 |
+
"clip_ratio/low_mean": 0.0,
|
| 742 |
+
"clip_ratio/low_min": 0.0,
|
| 743 |
+
"clip_ratio/region_mean": 0.0,
|
| 744 |
+
"completions/clipped_ratio": 0.4140625,
|
| 745 |
+
"completions/max_length": 2048.0,
|
| 746 |
+
"completions/mean_length": 1328.0234375,
|
| 747 |
+
"completions/min_length": 113.0,
|
| 748 |
+
"epoch": 0.30625,
|
| 749 |
+
"frac_reward_zero_std": 0.75,
|
| 750 |
+
"grad_norm": 0.9772490767136396,
|
| 751 |
+
"kl": 0.0044790414976887405,
|
| 752 |
+
"learning_rate": 8.140034362388397e-07,
|
| 753 |
+
"loss": 4.4815533328801394e-05,
|
| 754 |
+
"reward": 0.109375,
|
| 755 |
+
"reward_std": 0.11165857315063477,
|
| 756 |
+
"rewards/MajorityAccuracy/mean": 0.109375,
|
| 757 |
+
"rewards/MajorityAccuracy/std": 0.31272050738334656,
|
| 758 |
+
"step": 49,
|
| 759 |
+
"step_time": 154.381162524689
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"clip_ratio/high_max": 0.004517824825597927,
|
| 763 |
+
"clip_ratio/high_mean": 0.00134191144752549,
|
| 764 |
+
"clip_ratio/low_mean": 0.0005177885141165461,
|
| 765 |
+
"clip_ratio/low_min": 0.0,
|
| 766 |
+
"clip_ratio/region_mean": 0.0018596999798319302,
|
| 767 |
+
"epoch": 0.3125,
|
| 768 |
+
"grad_norm": 8.557941000669446,
|
| 769 |
+
"kl": 0.0075399260385893285,
|
| 770 |
+
"learning_rate": 8.060529912738314e-07,
|
| 771 |
+
"loss": 5.980717105558142e-05,
|
| 772 |
+
"step": 50,
|
| 773 |
+
"step_time": 26.59821539884433
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"clip_ratio/high_max": 0.0008041247783694416,
|
| 777 |
+
"clip_ratio/high_mean": 0.0002010311945923604,
|
| 778 |
+
"clip_ratio/low_mean": 0.0001992779434658587,
|
| 779 |
+
"clip_ratio/low_min": 0.0,
|
| 780 |
+
"clip_ratio/region_mean": 0.0004003091380582191,
|
| 781 |
+
"epoch": 0.31875,
|
| 782 |
+
"grad_norm": 1.046708002462517,
|
| 783 |
+
"kl": 0.007206715177744627,
|
| 784 |
+
"learning_rate": 7.979768223319785e-07,
|
| 785 |
+
"loss": 0.0002585774927865714,
|
| 786 |
+
"step": 51,
|
| 787 |
+
"step_time": 24.766615067142993
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"clip_ratio/high_max": 0.0002532928192522377,
|
| 791 |
+
"clip_ratio/high_mean": 6.332320481305942e-05,
|
| 792 |
+
"clip_ratio/low_mean": 0.0004845022558583878,
|
| 793 |
+
"clip_ratio/low_min": 0.0,
|
| 794 |
+
"clip_ratio/region_mean": 0.0005478254606714472,
|
| 795 |
+
"epoch": 0.325,
|
| 796 |
+
"grad_norm": 1.0537205330877863,
|
| 797 |
+
"kl": 0.01237977552227676,
|
| 798 |
+
"learning_rate": 7.897782470350849e-07,
|
| 799 |
+
"loss": 7.866646046750247e-05,
|
| 800 |
+
"step": 52,
|
| 801 |
+
"step_time": 26.14544145576656
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"clip_ratio/high_max": 0.0001664447336224839,
|
| 805 |
+
"clip_ratio/high_mean": 4.161118340562098e-05,
|
| 806 |
+
"clip_ratio/low_mean": 0.00027055707687395625,
|
| 807 |
+
"clip_ratio/low_min": 0.0,
|
| 808 |
+
"clip_ratio/region_mean": 0.0003121682602795772,
|
| 809 |
+
"epoch": 0.33125,
|
| 810 |
+
"grad_norm": 0.7127116099357195,
|
| 811 |
+
"kl": 0.008789588580839336,
|
| 812 |
+
"learning_rate": 7.814606332884488e-07,
|
| 813 |
+
"loss": 0.000102607264125254,
|
| 814 |
+
"step": 53,
|
| 815 |
+
"step_time": 24.893930540420115
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"clip_ratio/high_max": 0.0006908343348186463,
|
| 819 |
+
"clip_ratio/high_mean": 0.00017270858370466158,
|
| 820 |
+
"clip_ratio/low_mean": 0.0002872570403269492,
|
| 821 |
+
"clip_ratio/low_min": 0.0,
|
| 822 |
+
"clip_ratio/region_mean": 0.0004599656240316108,
|
| 823 |
+
"epoch": 0.3375,
|
| 824 |
+
"grad_norm": 1.0922897199818284,
|
| 825 |
+
"kl": 0.005326121317921206,
|
| 826 |
+
"learning_rate": 7.730273978973552e-07,
|
| 827 |
+
"loss": 0.00020963668066542596,
|
| 828 |
+
"step": 54,
|
| 829 |
+
"step_time": 25.90252166055143
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"clip_ratio/high_max": 0.0,
|
| 833 |
+
"clip_ratio/high_mean": 0.0,
|
| 834 |
+
"clip_ratio/low_mean": 0.0,
|
| 835 |
+
"clip_ratio/low_min": 0.0,
|
| 836 |
+
"clip_ratio/region_mean": 0.0,
|
| 837 |
+
"epoch": 0.34375,
|
| 838 |
+
"grad_norm": 0.011454125049964091,
|
| 839 |
+
"kl": 0.0038290573575068265,
|
| 840 |
+
"learning_rate": 7.644820051634812e-07,
|
| 841 |
+
"loss": 3.831826688838191e-05,
|
| 842 |
+
"step": 55,
|
| 843 |
+
"step_time": 26.78129055770114
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"clip_ratio/high_max": 0.0,
|
| 847 |
+
"clip_ratio/high_mean": 0.0,
|
| 848 |
+
"clip_ratio/low_mean": 0.0,
|
| 849 |
+
"clip_ratio/low_min": 0.0,
|
| 850 |
+
"clip_ratio/region_mean": 0.0,
|
| 851 |
+
"epoch": 0.35,
|
| 852 |
+
"grad_norm": 0.020040520126836114,
|
| 853 |
+
"kl": 0.004705669125542045,
|
| 854 |
+
"learning_rate": 7.558279654617912e-07,
|
| 855 |
+
"loss": 4.706055187853053e-05,
|
| 856 |
+
"step": 56,
|
| 857 |
+
"step_time": 26.27902294928208
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"clip_ratio/high_max": 0.0,
|
| 861 |
+
"clip_ratio/high_mean": 0.0,
|
| 862 |
+
"clip_ratio/low_mean": 0.0,
|
| 863 |
+
"clip_ratio/low_min": 0.0,
|
| 864 |
+
"clip_ratio/region_mean": 0.0,
|
| 865 |
+
"completions/clipped_ratio": 0.703125,
|
| 866 |
+
"completions/max_length": 2048.0,
|
| 867 |
+
"completions/mean_length": 1749.015625,
|
| 868 |
+
"completions/min_length": 137.0,
|
| 869 |
+
"epoch": 0.35625,
|
| 870 |
+
"frac_reward_zero_std": 0.90625,
|
| 871 |
+
"grad_norm": 0.01206640882815276,
|
| 872 |
+
"kl": 0.004618097213096917,
|
| 873 |
+
"learning_rate": 7.470688337985029e-07,
|
| 874 |
+
"loss": 4.617522790795192e-05,
|
| 875 |
+
"reward": 0.046875,
|
| 876 |
+
"reward_std": 0.041687894612550735,
|
| 877 |
+
"rewards/MajorityAccuracy/mean": 0.046875,
|
| 878 |
+
"rewards/MajorityAccuracy/std": 0.21178513765335083,
|
| 879 |
+
"step": 57,
|
| 880 |
+
"step_time": 174.6573330461979
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"clip_ratio/high_max": 0.0,
|
| 884 |
+
"clip_ratio/high_mean": 0.0,
|
| 885 |
+
"clip_ratio/low_mean": 0.0,
|
| 886 |
+
"clip_ratio/low_min": 0.0,
|
| 887 |
+
"clip_ratio/region_mean": 0.0,
|
| 888 |
+
"epoch": 0.3625,
|
| 889 |
+
"grad_norm": 0.01751394678650858,
|
| 890 |
+
"kl": 0.004693895345553756,
|
| 891 |
+
"learning_rate": 7.382082083507225e-07,
|
| 892 |
+
"loss": 4.695988172898069e-05,
|
| 893 |
+
"step": 58,
|
| 894 |
+
"step_time": 26.917312727775425
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"clip_ratio/high_max": 0.0,
|
| 898 |
+
"clip_ratio/high_mean": 0.0,
|
| 899 |
+
"clip_ratio/low_mean": 0.0,
|
| 900 |
+
"clip_ratio/low_min": 0.0,
|
| 901 |
+
"clip_ratio/region_mean": 0.0,
|
| 902 |
+
"epoch": 0.36875,
|
| 903 |
+
"grad_norm": 0.016986594212176003,
|
| 904 |
+
"kl": 0.0056875609152484685,
|
| 905 |
+
"learning_rate": 7.292497289883432e-07,
|
| 906 |
+
"loss": 5.690594844054431e-05,
|
| 907 |
+
"step": 59,
|
| 908 |
+
"step_time": 26.909373498521745
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"clip_ratio/high_max": 0.00018573550914879888,
|
| 912 |
+
"clip_ratio/high_mean": 4.643387728719972e-05,
|
| 913 |
+
"clip_ratio/low_mean": 0.0009301778918597847,
|
| 914 |
+
"clip_ratio/low_min": 0.0,
|
| 915 |
+
"clip_ratio/region_mean": 0.0009766117691469844,
|
| 916 |
+
"epoch": 0.375,
|
| 917 |
+
"grad_norm": 1.0049814040536302,
|
| 918 |
+
"kl": 0.00845289055723697,
|
| 919 |
+
"learning_rate": 7.201970757788171e-07,
|
| 920 |
+
"loss": 2.5767039915081114e-05,
|
| 921 |
+
"step": 60,
|
| 922 |
+
"step_time": 26.44809171697125
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"clip_ratio/high_max": 0.0,
|
| 926 |
+
"clip_ratio/high_mean": 0.0,
|
| 927 |
+
"clip_ratio/low_mean": 0.0,
|
| 928 |
+
"clip_ratio/low_min": 0.0,
|
| 929 |
+
"clip_ratio/region_mean": 0.0,
|
| 930 |
+
"epoch": 0.38125,
|
| 931 |
+
"grad_norm": 0.017789204665907103,
|
| 932 |
+
"kl": 0.0065518165356479585,
|
| 933 |
+
"learning_rate": 7.110539674754159e-07,
|
| 934 |
+
"loss": 6.549950921908021e-05,
|
| 935 |
+
"step": 61,
|
| 936 |
+
"step_time": 26.25320970499888
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"clip_ratio/high_max": 0.0,
|
| 940 |
+
"clip_ratio/high_mean": 0.0,
|
| 941 |
+
"clip_ratio/low_mean": 0.0,
|
| 942 |
+
"clip_ratio/low_min": 0.0,
|
| 943 |
+
"clip_ratio/region_mean": 0.0,
|
| 944 |
+
"epoch": 0.3875,
|
| 945 |
+
"grad_norm": 0.02509038208859739,
|
| 946 |
+
"kl": 0.004794337670318782,
|
| 947 |
+
"learning_rate": 7.018241599895973e-07,
|
| 948 |
+
"loss": 4.796409120899625e-05,
|
| 949 |
+
"step": 62,
|
| 950 |
+
"step_time": 27.139640590175986
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"clip_ratio/high_max": 0.0034521915222285315,
|
| 954 |
+
"clip_ratio/high_mean": 0.0008630478805571329,
|
| 955 |
+
"clip_ratio/low_mean": 6.103515625e-05,
|
| 956 |
+
"clip_ratio/low_min": 0.0,
|
| 957 |
+
"clip_ratio/region_mean": 0.0009240830368071329,
|
| 958 |
+
"epoch": 0.39375,
|
| 959 |
+
"grad_norm": 1.0778918840737923,
|
| 960 |
+
"kl": 0.009685591969173402,
|
| 961 |
+
"learning_rate": 6.925114448481088e-07,
|
| 962 |
+
"loss": 0.00019815022824332118,
|
| 963 |
+
"step": 63,
|
| 964 |
+
"step_time": 26.807747640646994
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"clip_ratio/high_max": 0.0021253092272672802,
|
| 968 |
+
"clip_ratio/high_mean": 0.0005313273068168201,
|
| 969 |
+
"clip_ratio/low_mean": 0.00030517578125,
|
| 970 |
+
"clip_ratio/low_min": 0.0,
|
| 971 |
+
"clip_ratio/region_mean": 0.0008365030880668201,
|
| 972 |
+
"epoch": 0.4,
|
| 973 |
+
"grad_norm": 0.7559430494506855,
|
| 974 |
+
"kl": 0.008648060378618538,
|
| 975 |
+
"learning_rate": 6.831196476354614e-07,
|
| 976 |
+
"loss": 4.31111257057637e-05,
|
| 977 |
+
"step": 64,
|
| 978 |
+
"step_time": 26.843033374287188
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"clip_ratio/high_max": 0.0,
|
| 982 |
+
"clip_ratio/high_mean": 0.0,
|
| 983 |
+
"clip_ratio/low_mean": 0.0,
|
| 984 |
+
"clip_ratio/low_min": 0.0,
|
| 985 |
+
"clip_ratio/region_mean": 0.0,
|
| 986 |
+
"completions/clipped_ratio": 0.61328125,
|
| 987 |
+
"completions/max_length": 2048.0,
|
| 988 |
+
"completions/mean_length": 1548.80859375,
|
| 989 |
+
"completions/min_length": 123.0,
|
| 990 |
+
"epoch": 0.40625,
|
| 991 |
+
"frac_reward_zero_std": 0.84375,
|
| 992 |
+
"grad_norm": 1.3798406979988733,
|
| 993 |
+
"kl": 0.014635509811341763,
|
| 994 |
+
"learning_rate": 6.7365262642241e-07,
|
| 995 |
+
"loss": 0.0001463051448808983,
|
| 996 |
+
"reward": 0.06640625,
|
| 997 |
+
"reward_std": 0.06431539356708527,
|
| 998 |
+
"rewards/MajorityAccuracy/mean": 0.06640625,
|
| 999 |
+
"rewards/MajorityAccuracy/std": 0.24947862327098846,
|
| 1000 |
+
"step": 65,
|
| 1001 |
+
"step_time": 155.5622828202322
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"clip_ratio/high_max": 0.0014784659870201722,
|
| 1005 |
+
"clip_ratio/high_mean": 0.00036961649675504304,
|
| 1006 |
+
"clip_ratio/low_mean": 0.00012078658983227797,
|
| 1007 |
+
"clip_ratio/low_min": 0.0,
|
| 1008 |
+
"clip_ratio/region_mean": 0.000490403086587321,
|
| 1009 |
+
"epoch": 0.4125,
|
| 1010 |
+
"grad_norm": 1.1830903799579142,
|
| 1011 |
+
"kl": 0.005382543196901679,
|
| 1012 |
+
"learning_rate": 6.641142701810931e-07,
|
| 1013 |
+
"loss": 9.867307380773127e-05,
|
| 1014 |
+
"step": 66,
|
| 1015 |
+
"step_time": 26.80674828775227
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"clip_ratio/high_max": 0.00011584800813579932,
|
| 1019 |
+
"clip_ratio/high_mean": 2.896200203394983e-05,
|
| 1020 |
+
"clip_ratio/low_mean": 4.0060376704786904e-05,
|
| 1021 |
+
"clip_ratio/low_min": 0.0,
|
| 1022 |
+
"clip_ratio/region_mean": 6.902237873873673e-05,
|
| 1023 |
+
"epoch": 0.41875,
|
| 1024 |
+
"grad_norm": 0.6522192832626481,
|
| 1025 |
+
"kl": 0.004291082499548793,
|
| 1026 |
+
"learning_rate": 6.545084971874736e-07,
|
| 1027 |
+
"loss": 9.592411515768617e-05,
|
| 1028 |
+
"step": 67,
|
| 1029 |
+
"step_time": 26.833329904824495
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"clip_ratio/high_max": 0.0,
|
| 1033 |
+
"clip_ratio/high_mean": 0.0,
|
| 1034 |
+
"clip_ratio/low_mean": 0.0,
|
| 1035 |
+
"clip_ratio/low_min": 0.0,
|
| 1036 |
+
"clip_ratio/region_mean": 0.0,
|
| 1037 |
+
"epoch": 0.425,
|
| 1038 |
+
"grad_norm": 0.01658028289421841,
|
| 1039 |
+
"kl": 0.0060661035240627825,
|
| 1040 |
+
"learning_rate": 6.448392534117461e-07,
|
| 1041 |
+
"loss": 6.068195216357708e-05,
|
| 1042 |
+
"step": 68,
|
| 1043 |
+
"step_time": 26.74626006698236
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"clip_ratio/high_max": 0.0,
|
| 1047 |
+
"clip_ratio/high_mean": 0.0,
|
| 1048 |
+
"clip_ratio/low_mean": 0.0,
|
| 1049 |
+
"clip_ratio/low_min": 0.0,
|
| 1050 |
+
"clip_ratio/region_mean": 0.0,
|
| 1051 |
+
"epoch": 0.43125,
|
| 1052 |
+
"grad_norm": 0.02355150007371843,
|
| 1053 |
+
"kl": 0.007048122643027455,
|
| 1054 |
+
"learning_rate": 6.351105108973644e-07,
|
| 1055 |
+
"loss": 7.046497194096446e-05,
|
| 1056 |
+
"step": 69,
|
| 1057 |
+
"step_time": 26.8156299572438
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"clip_ratio/high_max": 8.344459638465196e-05,
|
| 1061 |
+
"clip_ratio/high_mean": 2.086114909616299e-05,
|
| 1062 |
+
"clip_ratio/low_mean": 0.0001983642578125,
|
| 1063 |
+
"clip_ratio/low_min": 0.0,
|
| 1064 |
+
"clip_ratio/region_mean": 0.000219225406908663,
|
| 1065 |
+
"epoch": 0.4375,
|
| 1066 |
+
"grad_norm": 0.7253815402161341,
|
| 1067 |
+
"kl": 0.006270522775594145,
|
| 1068 |
+
"learning_rate": 6.253262661293602e-07,
|
| 1069 |
+
"loss": 4.066652763867751e-05,
|
| 1070 |
+
"step": 70,
|
| 1071 |
+
"step_time": 26.772440822795033
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"clip_ratio/high_max": 0.000811688310932368,
|
| 1075 |
+
"clip_ratio/high_mean": 0.000202922077733092,
|
| 1076 |
+
"clip_ratio/low_mean": 0.0008308545511681587,
|
| 1077 |
+
"clip_ratio/low_min": 0.0,
|
| 1078 |
+
"clip_ratio/region_mean": 0.0010337766289012507,
|
| 1079 |
+
"epoch": 0.44375,
|
| 1080 |
+
"grad_norm": 2.447684520041305,
|
| 1081 |
+
"kl": 0.010658018116373569,
|
| 1082 |
+
"learning_rate": 6.154905383926216e-07,
|
| 1083 |
+
"loss": 0.0005842563114129007,
|
| 1084 |
+
"step": 71,
|
| 1085 |
+
"step_time": 26.19095198996365
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"clip_ratio/high_max": 0.0,
|
| 1089 |
+
"clip_ratio/high_mean": 0.0,
|
| 1090 |
+
"clip_ratio/low_mean": 0.0,
|
| 1091 |
+
"clip_ratio/low_min": 0.0,
|
| 1092 |
+
"clip_ratio/region_mean": 0.0,
|
| 1093 |
+
"epoch": 0.45,
|
| 1094 |
+
"grad_norm": 0.015898811645013392,
|
| 1095 |
+
"kl": 0.005687313911039382,
|
| 1096 |
+
"learning_rate": 6.056073681208037e-07,
|
| 1097 |
+
"loss": 5.68721916351933e-05,
|
| 1098 |
+
"step": 72,
|
| 1099 |
+
"step_time": 26.703371644951403
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"clip_ratio/high_max": 0.0,
|
| 1103 |
+
"clip_ratio/high_mean": 0.0,
|
| 1104 |
+
"clip_ratio/low_mean": 0.0,
|
| 1105 |
+
"clip_ratio/low_min": 0.0,
|
| 1106 |
+
"clip_ratio/region_mean": 0.0,
|
| 1107 |
+
"completions/clipped_ratio": 0.4375,
|
| 1108 |
+
"completions/max_length": 2048.0,
|
| 1109 |
+
"completions/mean_length": 1395.5703125,
|
| 1110 |
+
"completions/min_length": 94.0,
|
| 1111 |
+
"epoch": 0.45625,
|
| 1112 |
+
"frac_reward_zero_std": 0.78125,
|
| 1113 |
+
"grad_norm": 0.7753204519379657,
|
| 1114 |
+
"kl": 0.011078874522354454,
|
| 1115 |
+
"learning_rate": 5.956808152365532e-07,
|
| 1116 |
+
"loss": 0.000110737542854622,
|
| 1117 |
+
"reward": 0.0859375,
|
| 1118 |
+
"reward_std": 0.09271685779094696,
|
| 1119 |
+
"rewards/MajorityAccuracy/mean": 0.0859375,
|
| 1120 |
+
"rewards/MajorityAccuracy/std": 0.28082075715065,
|
| 1121 |
+
"step": 73,
|
| 1122 |
+
"step_time": 155.92625313345343
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"clip_ratio/high_max": 0.00810879038181156,
|
| 1126 |
+
"clip_ratio/high_mean": 0.00202719759545289,
|
| 1127 |
+
"clip_ratio/low_mean": 0.00026939655072055757,
|
| 1128 |
+
"clip_ratio/low_min": 0.0,
|
| 1129 |
+
"clip_ratio/region_mean": 0.0022965941461734474,
|
| 1130 |
+
"epoch": 0.4625,
|
| 1131 |
+
"grad_norm": 4.264408848729374,
|
| 1132 |
+
"kl": 0.011694774497300386,
|
| 1133 |
+
"learning_rate": 5.857149574837268e-07,
|
| 1134 |
+
"loss": -0.00037455876008607447,
|
| 1135 |
+
"step": 74,
|
| 1136 |
+
"step_time": 26.37063532555476
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"clip_ratio/high_max": 0.0,
|
| 1140 |
+
"clip_ratio/high_mean": 0.0,
|
| 1141 |
+
"clip_ratio/low_mean": 0.0,
|
| 1142 |
+
"clip_ratio/low_min": 0.0,
|
| 1143 |
+
"clip_ratio/region_mean": 0.0,
|
| 1144 |
+
"epoch": 0.46875,
|
| 1145 |
+
"grad_norm": 0.04138204542723436,
|
| 1146 |
+
"kl": 0.009389654034748673,
|
| 1147 |
+
"learning_rate": 5.757138887522883e-07,
|
| 1148 |
+
"loss": 9.395189408678561e-05,
|
| 1149 |
+
"step": 75,
|
| 1150 |
+
"step_time": 26.758137823548168
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"clip_ratio/high_max": 0.00029411763534881175,
|
| 1154 |
+
"clip_ratio/high_mean": 7.352940883720294e-05,
|
| 1155 |
+
"clip_ratio/low_mean": 0.0003784346736210864,
|
| 1156 |
+
"clip_ratio/low_min": 0.0,
|
| 1157 |
+
"clip_ratio/region_mean": 0.00045196408245828934,
|
| 1158 |
+
"epoch": 0.475,
|
| 1159 |
+
"grad_norm": 1.0204469772628966,
|
| 1160 |
+
"kl": 0.013353595393709838,
|
| 1161 |
+
"learning_rate": 5.656817173965732e-07,
|
| 1162 |
+
"loss": 0.00014741209452040493,
|
| 1163 |
+
"step": 76,
|
| 1164 |
+
"step_time": 25.67917549610138
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"clip_ratio/high_max": 0.0,
|
| 1168 |
+
"clip_ratio/high_mean": 0.0,
|
| 1169 |
+
"clip_ratio/low_mean": 0.0,
|
| 1170 |
+
"clip_ratio/low_min": 0.0,
|
| 1171 |
+
"clip_ratio/region_mean": 0.0,
|
| 1172 |
+
"epoch": 0.48125,
|
| 1173 |
+
"grad_norm": 0.014370700069512266,
|
| 1174 |
+
"kl": 0.005736351013183594,
|
| 1175 |
+
"learning_rate": 5.556225645476118e-07,
|
| 1176 |
+
"loss": 5.738735490012914e-05,
|
| 1177 |
+
"step": 77,
|
| 1178 |
+
"step_time": 26.816248398739845
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"clip_ratio/high_max": 0.0010667020396795124,
|
| 1182 |
+
"clip_ratio/high_mean": 0.0002666755099198781,
|
| 1183 |
+
"clip_ratio/low_mean": 0.0009174521255772561,
|
| 1184 |
+
"clip_ratio/low_min": 0.0,
|
| 1185 |
+
"clip_ratio/region_mean": 0.0011841276318591554,
|
| 1186 |
+
"epoch": 0.4875,
|
| 1187 |
+
"grad_norm": 1.2675559273029737,
|
| 1188 |
+
"kl": 0.009839808684773743,
|
| 1189 |
+
"learning_rate": 5.455405624202032e-07,
|
| 1190 |
+
"loss": 0.00018567603547126055,
|
| 1191 |
+
"step": 78,
|
| 1192 |
+
"step_time": 25.723588761407882
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"clip_ratio/high_max": 0.00010629251482896507,
|
| 1196 |
+
"clip_ratio/high_mean": 2.6573128707241267e-05,
|
| 1197 |
+
"clip_ratio/low_mean": 0.00029463242390193045,
|
| 1198 |
+
"clip_ratio/low_min": 0.0,
|
| 1199 |
+
"clip_ratio/region_mean": 0.0003212055526091717,
|
| 1200 |
+
"epoch": 0.49375,
|
| 1201 |
+
"grad_norm": 0.8970921433589637,
|
| 1202 |
+
"kl": 0.007720596739090979,
|
| 1203 |
+
"learning_rate": 5.354398526154365e-07,
|
| 1204 |
+
"loss": 8.570292266085744e-05,
|
| 1205 |
+
"step": 79,
|
| 1206 |
+
"step_time": 23.744005591142923
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"clip_ratio/high_max": 0.00271819339832291,
|
| 1210 |
+
"clip_ratio/high_mean": 0.0006795483495807275,
|
| 1211 |
+
"clip_ratio/low_mean": 0.0001373291015625,
|
| 1212 |
+
"clip_ratio/low_min": 0.0,
|
| 1213 |
+
"clip_ratio/region_mean": 0.0008168774511432275,
|
| 1214 |
+
"epoch": 0.5,
|
| 1215 |
+
"grad_norm": 1.362661322816134,
|
| 1216 |
+
"kl": 0.008994893461931497,
|
| 1217 |
+
"learning_rate": 5.253245844193564e-07,
|
| 1218 |
+
"loss": 5.840820449520834e-05,
|
| 1219 |
+
"step": 80,
|
| 1220 |
+
"step_time": 26.903562719468027
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"clip_ratio/high_max": 0.0,
|
| 1224 |
+
"clip_ratio/high_mean": 0.0,
|
| 1225 |
+
"clip_ratio/low_mean": 0.0,
|
| 1226 |
+
"clip_ratio/low_min": 0.0,
|
| 1227 |
+
"clip_ratio/region_mean": 0.0,
|
| 1228 |
+
"completions/clipped_ratio": 0.5703125,
|
| 1229 |
+
"completions/max_length": 2048.0,
|
| 1230 |
+
"completions/mean_length": 1451.60546875,
|
| 1231 |
+
"completions/min_length": 78.0,
|
| 1232 |
+
"epoch": 0.50625,
|
| 1233 |
+
"frac_reward_zero_std": 0.875,
|
| 1234 |
+
"grad_norm": 0.012484039709592847,
|
| 1235 |
+
"kl": 0.005176856240723282,
|
| 1236 |
+
"learning_rate": 5.151989130984714e-07,
|
| 1237 |
+
"loss": 5.1775557949440554e-05,
|
| 1238 |
+
"reward": 0.0703125,
|
| 1239 |
+
"reward_std": 0.056153833866119385,
|
| 1240 |
+
"rewards/MajorityAccuracy/mean": 0.0703125,
|
| 1241 |
+
"rewards/MajorityAccuracy/std": 0.2561737596988678,
|
| 1242 |
+
"step": 81,
|
| 1243 |
+
"step_time": 159.12421786272898
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"clip_ratio/high_max": 0.0,
|
| 1247 |
+
"clip_ratio/high_mean": 0.0,
|
| 1248 |
+
"clip_ratio/low_mean": 0.0,
|
| 1249 |
+
"clip_ratio/low_min": 0.0,
|
| 1250 |
+
"clip_ratio/region_mean": 0.0,
|
| 1251 |
+
"epoch": 0.5125,
|
| 1252 |
+
"grad_norm": 0.017610573265001556,
|
| 1253 |
+
"kl": 0.004880279942881316,
|
| 1254 |
+
"learning_rate": 5.050669981928055e-07,
|
| 1255 |
+
"loss": 4.883424116997048e-05,
|
| 1256 |
+
"step": 82,
|
| 1257 |
+
"step_time": 26.817855190020055
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"clip_ratio/high_max": 0.0,
|
| 1261 |
+
"clip_ratio/high_mean": 0.0,
|
| 1262 |
+
"clip_ratio/low_mean": 0.0,
|
| 1263 |
+
"clip_ratio/low_min": 0.0,
|
| 1264 |
+
"clip_ratio/region_mean": 0.0,
|
| 1265 |
+
"epoch": 0.51875,
|
| 1266 |
+
"grad_norm": 0.015788195040692708,
|
| 1267 |
+
"kl": 0.0066186332842335105,
|
| 1268 |
+
"learning_rate": 4.949330018071946e-07,
|
| 1269 |
+
"loss": 6.615529855480418e-05,
|
| 1270 |
+
"step": 83,
|
| 1271 |
+
"step_time": 26.824420338962227
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"clip_ratio/high_max": 0.0,
|
| 1275 |
+
"clip_ratio/high_mean": 0.0,
|
| 1276 |
+
"clip_ratio/low_mean": 7.03734258422628e-05,
|
| 1277 |
+
"clip_ratio/low_min": 0.0,
|
| 1278 |
+
"clip_ratio/region_mean": 7.03734258422628e-05,
|
| 1279 |
+
"epoch": 0.525,
|
| 1280 |
+
"grad_norm": 0.702655378363265,
|
| 1281 |
+
"kl": 0.01330101303756237,
|
| 1282 |
+
"learning_rate": 4.848010869015287e-07,
|
| 1283 |
+
"loss": 0.0002936959208454937,
|
| 1284 |
+
"step": 84,
|
| 1285 |
+
"step_time": 23.37322855880484
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"clip_ratio/high_max": 0.0,
|
| 1289 |
+
"clip_ratio/high_mean": 0.0,
|
| 1290 |
+
"clip_ratio/low_mean": 0.0,
|
| 1291 |
+
"clip_ratio/low_min": 0.0,
|
| 1292 |
+
"clip_ratio/region_mean": 0.0,
|
| 1293 |
+
"epoch": 0.53125,
|
| 1294 |
+
"grad_norm": 0.13493258831137395,
|
| 1295 |
+
"kl": 0.016869400977157056,
|
| 1296 |
+
"learning_rate": 4.746754155806437e-07,
|
| 1297 |
+
"loss": 0.0001687290787231177,
|
| 1298 |
+
"step": 85,
|
| 1299 |
+
"step_time": 26.742968323174864
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"clip_ratio/high_max": 0.0020024985424242914,
|
| 1303 |
+
"clip_ratio/high_mean": 0.0005006246356060728,
|
| 1304 |
+
"clip_ratio/low_mean": 0.0010050579585367814,
|
| 1305 |
+
"clip_ratio/low_min": 0.0,
|
| 1306 |
+
"clip_ratio/region_mean": 0.0015056825941428542,
|
| 1307 |
+
"epoch": 0.5375,
|
| 1308 |
+
"grad_norm": 2.499673466598844,
|
| 1309 |
+
"kl": 0.019167582388035953,
|
| 1310 |
+
"learning_rate": 4.645601473845635e-07,
|
| 1311 |
+
"loss": 0.0004931429284624755,
|
| 1312 |
+
"step": 86,
|
| 1313 |
+
"step_time": 26.28964394144714
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"clip_ratio/high_max": 0.0,
|
| 1317 |
+
"clip_ratio/high_mean": 0.0,
|
| 1318 |
+
"clip_ratio/low_mean": 0.0,
|
| 1319 |
+
"clip_ratio/low_min": 0.0,
|
| 1320 |
+
"clip_ratio/region_mean": 0.0,
|
| 1321 |
+
"epoch": 0.54375,
|
| 1322 |
+
"grad_norm": 0.016980459759919603,
|
| 1323 |
+
"kl": 0.0064954691915772855,
|
| 1324 |
+
"learning_rate": 4.544594375797968e-07,
|
| 1325 |
+
"loss": 6.493765977211297e-05,
|
| 1326 |
+
"step": 87,
|
| 1327 |
+
"step_time": 27.077506442554295
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"clip_ratio/high_max": 0.0025506422971375287,
|
| 1331 |
+
"clip_ratio/high_mean": 0.0006898018473293632,
|
| 1332 |
+
"clip_ratio/low_mean": 0.0006631610885960981,
|
| 1333 |
+
"clip_ratio/low_min": 0.0,
|
| 1334 |
+
"clip_ratio/region_mean": 0.0013529629359254614,
|
| 1335 |
+
"epoch": 0.55,
|
| 1336 |
+
"grad_norm": 1.708536792724287,
|
| 1337 |
+
"kl": 0.014464707113802433,
|
| 1338 |
+
"learning_rate": 4.443774354523882e-07,
|
| 1339 |
+
"loss": -8.978255209513009e-06,
|
| 1340 |
+
"step": 88,
|
| 1341 |
+
"step_time": 26.7357267155312
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"clip_ratio/high_max": 0.0,
|
| 1345 |
+
"clip_ratio/high_mean": 0.0,
|
| 1346 |
+
"clip_ratio/low_mean": 0.0,
|
| 1347 |
+
"clip_ratio/low_min": 0.0,
|
| 1348 |
+
"clip_ratio/region_mean": 0.0,
|
| 1349 |
+
"completions/clipped_ratio": 0.38671875,
|
| 1350 |
+
"completions/max_length": 2048.0,
|
| 1351 |
+
"completions/mean_length": 1267.66796875,
|
| 1352 |
+
"completions/min_length": 59.0,
|
| 1353 |
+
"epoch": 0.55625,
|
| 1354 |
+
"frac_reward_zero_std": 0.71875,
|
| 1355 |
+
"grad_norm": 2.1589407910553238,
|
| 1356 |
+
"kl": 0.010915811522863805,
|
| 1357 |
+
"learning_rate": 4.3431828260342675e-07,
|
| 1358 |
+
"loss": 0.00010912783181993291,
|
| 1359 |
+
"reward": 0.203125,
|
| 1360 |
+
"reward_std": 0.12730157375335693,
|
| 1361 |
+
"rewards/MajorityAccuracy/mean": 0.203125,
|
| 1362 |
+
"rewards/MajorityAccuracy/std": 0.40311288833618164,
|
| 1363 |
+
"step": 89,
|
| 1364 |
+
"step_time": 151.1959048495628
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"clip_ratio/high_max": 0.0,
|
| 1368 |
+
"clip_ratio/high_mean": 0.0,
|
| 1369 |
+
"clip_ratio/low_mean": 0.0,
|
| 1370 |
+
"clip_ratio/low_min": 0.0,
|
| 1371 |
+
"clip_ratio/region_mean": 0.0,
|
| 1372 |
+
"epoch": 0.5625,
|
| 1373 |
+
"grad_norm": 0.025286067374767133,
|
| 1374 |
+
"kl": 0.00644218735396862,
|
| 1375 |
+
"learning_rate": 4.242861112477118e-07,
|
| 1376 |
+
"loss": 6.442074663937092e-05,
|
| 1377 |
+
"step": 90,
|
| 1378 |
+
"step_time": 26.6320317434147
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"clip_ratio/high_max": 0.000270343865850009,
|
| 1382 |
+
"clip_ratio/high_mean": 0.00010122428284375928,
|
| 1383 |
+
"clip_ratio/low_mean": 0.0001983642578125,
|
| 1384 |
+
"clip_ratio/low_min": 0.0,
|
| 1385 |
+
"clip_ratio/region_mean": 0.0002995885406562593,
|
| 1386 |
+
"epoch": 0.56875,
|
| 1387 |
+
"grad_norm": 1.0417604459887824,
|
| 1388 |
+
"kl": 0.010066518560051918,
|
| 1389 |
+
"learning_rate": 4.1428504251627325e-07,
|
| 1390 |
+
"loss": 0.00019542260270100087,
|
| 1391 |
+
"step": 91,
|
| 1392 |
+
"step_time": 26.817822627257556
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"clip_ratio/high_max": 0.001479289960116148,
|
| 1396 |
+
"clip_ratio/high_mean": 0.000369822490029037,
|
| 1397 |
+
"clip_ratio/low_mean": 0.0,
|
| 1398 |
+
"clip_ratio/low_min": 0.0,
|
| 1399 |
+
"clip_ratio/region_mean": 0.000369822490029037,
|
| 1400 |
+
"epoch": 0.575,
|
| 1401 |
+
"grad_norm": 3.058206264542961,
|
| 1402 |
+
"kl": 0.017356039257720113,
|
| 1403 |
+
"learning_rate": 4.0431918476344685e-07,
|
| 1404 |
+
"loss": 0.00015504704788327217,
|
| 1405 |
+
"step": 92,
|
| 1406 |
+
"step_time": 25.74728100327775
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"clip_ratio/high_max": 0.0,
|
| 1410 |
+
"clip_ratio/high_mean": 0.0,
|
| 1411 |
+
"clip_ratio/low_mean": 0.0001197317978949286,
|
| 1412 |
+
"clip_ratio/low_min": 0.0,
|
| 1413 |
+
"clip_ratio/region_mean": 0.0001197317978949286,
|
| 1414 |
+
"epoch": 0.58125,
|
| 1415 |
+
"grad_norm": 1.7207914348850548,
|
| 1416 |
+
"kl": 0.006023561640176922,
|
| 1417 |
+
"learning_rate": 3.943926318791963e-07,
|
| 1418 |
+
"loss": -4.8351677833124995e-05,
|
| 1419 |
+
"step": 93,
|
| 1420 |
+
"step_time": 26.649316328112036
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"clip_ratio/high_max": 0.003734316909685731,
|
| 1424 |
+
"clip_ratio/high_mean": 0.0010050350174424239,
|
| 1425 |
+
"clip_ratio/low_mean": 0.0004349150403868407,
|
| 1426 |
+
"clip_ratio/low_min": 0.0,
|
| 1427 |
+
"clip_ratio/region_mean": 0.0014399500578292646,
|
| 1428 |
+
"epoch": 0.5875,
|
| 1429 |
+
"grad_norm": 2.636295695898136,
|
| 1430 |
+
"kl": 0.011467857519164681,
|
| 1431 |
+
"learning_rate": 3.845094616073783e-07,
|
| 1432 |
+
"loss": 7.087754784151912e-05,
|
| 1433 |
+
"step": 94,
|
| 1434 |
+
"step_time": 26.6754209282808
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"clip_ratio/high_max": 0.0,
|
| 1438 |
+
"clip_ratio/high_mean": 0.0,
|
| 1439 |
+
"clip_ratio/low_mean": 0.0,
|
| 1440 |
+
"clip_ratio/low_min": 0.0,
|
| 1441 |
+
"clip_ratio/region_mean": 0.0,
|
| 1442 |
+
"epoch": 0.59375,
|
| 1443 |
+
"grad_norm": 0.030285705493577723,
|
| 1444 |
+
"kl": 0.011679748771712184,
|
| 1445 |
+
"learning_rate": 3.7467373387063964e-07,
|
| 1446 |
+
"loss": 0.00011667235958157107,
|
| 1447 |
+
"step": 95,
|
| 1448 |
+
"step_time": 26.765155940316617
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"clip_ratio/high_max": 0.011788153176894411,
|
| 1452 |
+
"clip_ratio/high_mean": 0.002947038294223603,
|
| 1453 |
+
"clip_ratio/low_mean": 0.002426759627269348,
|
| 1454 |
+
"clip_ratio/low_min": 0.0,
|
| 1455 |
+
"clip_ratio/region_mean": 0.0053737980051664636,
|
| 1456 |
+
"epoch": 0.6,
|
| 1457 |
+
"grad_norm": 7.3302311782828316,
|
| 1458 |
+
"kl": 0.01713878766167909,
|
| 1459 |
+
"learning_rate": 3.648894891026358e-07,
|
| 1460 |
+
"loss": 0.00013442448107525706,
|
| 1461 |
+
"step": 96,
|
| 1462 |
+
"step_time": 26.274921708740294
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"clip_ratio/high_max": 0.0,
|
| 1466 |
+
"clip_ratio/high_mean": 0.0,
|
| 1467 |
+
"clip_ratio/low_mean": 0.0,
|
| 1468 |
+
"clip_ratio/low_min": 0.0,
|
| 1469 |
+
"clip_ratio/region_mean": 0.0,
|
| 1470 |
+
"completions/clipped_ratio": 0.66015625,
|
| 1471 |
+
"completions/max_length": 2048.0,
|
| 1472 |
+
"completions/mean_length": 1647.5859375,
|
| 1473 |
+
"completions/min_length": 65.0,
|
| 1474 |
+
"epoch": 0.60625,
|
| 1475 |
+
"frac_reward_zero_std": 0.75,
|
| 1476 |
+
"grad_norm": 4.748598830409892,
|
| 1477 |
+
"kl": 0.010995677090249956,
|
| 1478 |
+
"learning_rate": 3.5516074658825397e-07,
|
| 1479 |
+
"loss": 0.00010992330498993397,
|
| 1480 |
+
"reward": 0.0703125,
|
| 1481 |
+
"reward_std": 0.10429581999778748,
|
| 1482 |
+
"rewards/MajorityAccuracy/mean": 0.0703125,
|
| 1483 |
+
"rewards/MajorityAccuracy/std": 0.2561737596988678,
|
| 1484 |
+
"step": 97,
|
| 1485 |
+
"step_time": 167.89501083735377
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"clip_ratio/high_max": 0.00024946158373495564,
|
| 1489 |
+
"clip_ratio/high_mean": 6.236539593373891e-05,
|
| 1490 |
+
"clip_ratio/low_mean": 0.00029709103546338156,
|
| 1491 |
+
"clip_ratio/low_min": 0.0,
|
| 1492 |
+
"clip_ratio/region_mean": 0.00035945642594015226,
|
| 1493 |
+
"epoch": 0.6125,
|
| 1494 |
+
"grad_norm": 1.3127555980351417,
|
| 1495 |
+
"kl": 0.01037880766671151,
|
| 1496 |
+
"learning_rate": 3.454915028125263e-07,
|
| 1497 |
+
"loss": 0.00020078923262190074,
|
| 1498 |
+
"step": 98,
|
| 1499 |
+
"step_time": 26.675995401572436
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"clip_ratio/high_max": 0.0013100903015583754,
|
| 1503 |
+
"clip_ratio/high_mean": 0.00032752257538959384,
|
| 1504 |
+
"clip_ratio/low_mean": 0.00011574073869269341,
|
| 1505 |
+
"clip_ratio/low_min": 0.0,
|
| 1506 |
+
"clip_ratio/region_mean": 0.00044326331408228725,
|
| 1507 |
+
"epoch": 0.61875,
|
| 1508 |
+
"grad_norm": 1.8733255176720147,
|
| 1509 |
+
"kl": 0.00865096942288801,
|
| 1510 |
+
"learning_rate": 3.3588572981890684e-07,
|
| 1511 |
+
"loss": 0.00033619918394833803,
|
| 1512 |
+
"step": 99,
|
| 1513 |
+
"step_time": 26.89349404349923
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"clip_ratio/high_max": 0.0,
|
| 1517 |
+
"clip_ratio/high_mean": 0.0,
|
| 1518 |
+
"clip_ratio/low_mean": 0.0,
|
| 1519 |
+
"clip_ratio/low_min": 0.0,
|
| 1520 |
+
"clip_ratio/region_mean": 0.0,
|
| 1521 |
+
"epoch": 0.625,
|
| 1522 |
+
"grad_norm": 0.010106756861446886,
|
| 1523 |
+
"kl": 0.003865066188154742,
|
| 1524 |
+
"learning_rate": 3.263473735775899e-07,
|
| 1525 |
+
"loss": 3.86621686629951e-05,
|
| 1526 |
+
"step": 100,
|
| 1527 |
+
"step_time": 26.939592240843922
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"clip_ratio/high_max": 0.0,
|
| 1531 |
+
"clip_ratio/high_mean": 0.0,
|
| 1532 |
+
"clip_ratio/low_mean": 0.0,
|
| 1533 |
+
"clip_ratio/low_min": 0.0,
|
| 1534 |
+
"clip_ratio/region_mean": 0.0,
|
| 1535 |
+
"epoch": 0.63125,
|
| 1536 |
+
"grad_norm": 0.01928024908946462,
|
| 1537 |
+
"kl": 0.006495257606729865,
|
| 1538 |
+
"learning_rate": 3.1688035236453865e-07,
|
| 1539 |
+
"loss": 6.495042180176824e-05,
|
| 1540 |
+
"step": 101,
|
| 1541 |
+
"step_time": 27.036823210772127
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"clip_ratio/high_max": 7.167430885601789e-05,
|
| 1545 |
+
"clip_ratio/high_mean": 1.7918577214004472e-05,
|
| 1546 |
+
"clip_ratio/low_mean": 6.103515625e-05,
|
| 1547 |
+
"clip_ratio/low_min": 0.0,
|
| 1548 |
+
"clip_ratio/region_mean": 7.895373346400447e-05,
|
| 1549 |
+
"epoch": 0.6375,
|
| 1550 |
+
"grad_norm": 0.5281395027937885,
|
| 1551 |
+
"kl": 0.006816354289185256,
|
| 1552 |
+
"learning_rate": 3.0748855515189096e-07,
|
| 1553 |
+
"loss": 0.00014648732030764222,
|
| 1554 |
+
"step": 102,
|
| 1555 |
+
"step_time": 26.66246251342818
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"clip_ratio/high_max": 0.0006836908578407019,
|
| 1559 |
+
"clip_ratio/high_mean": 0.00017092271446017548,
|
| 1560 |
+
"clip_ratio/low_mean": 0.0016868894890649244,
|
| 1561 |
+
"clip_ratio/low_min": 0.0,
|
| 1562 |
+
"clip_ratio/region_mean": 0.001857812181697227,
|
| 1563 |
+
"epoch": 0.64375,
|
| 1564 |
+
"grad_norm": 3.2219624975685544,
|
| 1565 |
+
"kl": 0.00995606801006943,
|
| 1566 |
+
"learning_rate": 2.981758400104028e-07,
|
| 1567 |
+
"loss": 0.00020265569037292153,
|
| 1568 |
+
"step": 103,
|
| 1569 |
+
"step_time": 26.88016434479505
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"clip_ratio/high_max": 0.0007009345572441816,
|
| 1573 |
+
"clip_ratio/high_mean": 0.0001752336393110454,
|
| 1574 |
+
"clip_ratio/low_mean": 0.0004049165454489412,
|
| 1575 |
+
"clip_ratio/low_min": 0.0,
|
| 1576 |
+
"clip_ratio/region_mean": 0.0005801501847599866,
|
| 1577 |
+
"epoch": 0.65,
|
| 1578 |
+
"grad_norm": 1.0374312342866063,
|
| 1579 |
+
"kl": 0.008869825163856149,
|
| 1580 |
+
"learning_rate": 2.8894603252458403e-07,
|
| 1581 |
+
"loss": -7.4482522904872894e-06,
|
| 1582 |
+
"step": 104,
|
| 1583 |
+
"step_time": 26.705962827894837
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"clip_ratio/high_max": 0.0,
|
| 1587 |
+
"clip_ratio/high_mean": 0.0,
|
| 1588 |
+
"clip_ratio/low_mean": 0.0,
|
| 1589 |
+
"clip_ratio/low_min": 0.0,
|
| 1590 |
+
"clip_ratio/region_mean": 0.0,
|
| 1591 |
+
"completions/clipped_ratio": 0.54296875,
|
| 1592 |
+
"completions/max_length": 2048.0,
|
| 1593 |
+
"completions/mean_length": 1423.2890625,
|
| 1594 |
+
"completions/min_length": 63.0,
|
| 1595 |
+
"epoch": 0.65625,
|
| 1596 |
+
"frac_reward_zero_std": 0.8125,
|
| 1597 |
+
"grad_norm": 0.11052095356595955,
|
| 1598 |
+
"kl": 0.019351209164597094,
|
| 1599 |
+
"learning_rate": 2.7980292422118277e-07,
|
| 1600 |
+
"loss": 0.0001935335894813761,
|
| 1601 |
+
"reward": 0.09765625,
|
| 1602 |
+
"reward_std": 0.09126895666122437,
|
| 1603 |
+
"rewards/MajorityAccuracy/mean": 0.09765625,
|
| 1604 |
+
"rewards/MajorityAccuracy/std": 0.29743078351020813,
|
| 1605 |
+
"step": 105,
|
| 1606 |
+
"step_time": 158.19255052832887
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"clip_ratio/high_max": 0.001639128488022834,
|
| 1610 |
+
"clip_ratio/high_mean": 0.0004097821220057085,
|
| 1611 |
+
"clip_ratio/low_mean": 0.0002441435499349609,
|
| 1612 |
+
"clip_ratio/low_min": 0.0,
|
| 1613 |
+
"clip_ratio/region_mean": 0.0006539256719406694,
|
| 1614 |
+
"epoch": 0.6625,
|
| 1615 |
+
"grad_norm": 1.204589392007923,
|
| 1616 |
+
"kl": 0.010065168666187674,
|
| 1617 |
+
"learning_rate": 2.70750271011657e-07,
|
| 1618 |
+
"loss": 0.00022010822431184351,
|
| 1619 |
+
"step": 106,
|
| 1620 |
+
"step_time": 26.26066474057734
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"clip_ratio/high_max": 0.00026624067686498165,
|
| 1624 |
+
"clip_ratio/high_mean": 6.656016921624541e-05,
|
| 1625 |
+
"clip_ratio/low_mean": 6.25000029685907e-05,
|
| 1626 |
+
"clip_ratio/low_min": 0.0,
|
| 1627 |
+
"clip_ratio/region_mean": 0.00012906017218483612,
|
| 1628 |
+
"epoch": 0.66875,
|
| 1629 |
+
"grad_norm": 1.161443401266578,
|
| 1630 |
+
"kl": 0.007927352795377374,
|
| 1631 |
+
"learning_rate": 2.6179179164927754e-07,
|
| 1632 |
+
"loss": 0.0001328590587945655,
|
| 1633 |
+
"step": 107,
|
| 1634 |
+
"step_time": 26.76503303926438
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"clip_ratio/high_max": 0.0,
|
| 1638 |
+
"clip_ratio/high_mean": 0.0,
|
| 1639 |
+
"clip_ratio/low_mean": 0.0,
|
| 1640 |
+
"clip_ratio/low_min": 0.0,
|
| 1641 |
+
"clip_ratio/region_mean": 0.0,
|
| 1642 |
+
"epoch": 0.675,
|
| 1643 |
+
"grad_norm": 0.023978460113702943,
|
| 1644 |
+
"kl": 0.007766419090330601,
|
| 1645 |
+
"learning_rate": 2.529311662014972e-07,
|
| 1646 |
+
"loss": 7.767206989228725e-05,
|
| 1647 |
+
"step": 108,
|
| 1648 |
+
"step_time": 26.769156069494784
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"clip_ratio/high_max": 0.001105310337152332,
|
| 1652 |
+
"clip_ratio/high_mean": 0.000276327584288083,
|
| 1653 |
+
"clip_ratio/low_mean": 0.0008331268036272377,
|
| 1654 |
+
"clip_ratio/low_min": 0.0,
|
| 1655 |
+
"clip_ratio/region_mean": 0.0011094543879153207,
|
| 1656 |
+
"epoch": 0.68125,
|
| 1657 |
+
"grad_norm": 1.917638632264013,
|
| 1658 |
+
"kl": 0.013088455190882087,
|
| 1659 |
+
"learning_rate": 2.441720345382089e-07,
|
| 1660 |
+
"loss": 0.00018172309501096606,
|
| 1661 |
+
"step": 109,
|
| 1662 |
+
"step_time": 26.713801264297217
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"clip_ratio/high_max": 0.0,
|
| 1666 |
+
"clip_ratio/high_mean": 0.0,
|
| 1667 |
+
"clip_ratio/low_mean": 0.0,
|
| 1668 |
+
"clip_ratio/low_min": 0.0,
|
| 1669 |
+
"clip_ratio/region_mean": 0.0,
|
| 1670 |
+
"epoch": 0.6875,
|
| 1671 |
+
"grad_norm": 0.013336636384881584,
|
| 1672 |
+
"kl": 0.0060443878173828125,
|
| 1673 |
+
"learning_rate": 2.355179948365189e-07,
|
| 1674 |
+
"loss": 6.047308852430433e-05,
|
| 1675 |
+
"step": 110,
|
| 1676 |
+
"step_time": 26.575831792782992
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"clip_ratio/high_max": 0.0006126466760179028,
|
| 1680 |
+
"clip_ratio/high_mean": 0.0001531616690044757,
|
| 1681 |
+
"clip_ratio/low_mean": 4.245635136612691e-05,
|
| 1682 |
+
"clip_ratio/low_min": 0.0,
|
| 1683 |
+
"clip_ratio/region_mean": 0.0001956180203706026,
|
| 1684 |
+
"epoch": 0.69375,
|
| 1685 |
+
"grad_norm": 0.7512170288474087,
|
| 1686 |
+
"kl": 0.010130895534530282,
|
| 1687 |
+
"learning_rate": 2.26972602102645e-07,
|
| 1688 |
+
"loss": 4.984892439097166e-05,
|
| 1689 |
+
"step": 111,
|
| 1690 |
+
"step_time": 26.881950468290597
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"clip_ratio/high_max": 0.0005845236009918153,
|
| 1694 |
+
"clip_ratio/high_mean": 0.00014613090024795383,
|
| 1695 |
+
"clip_ratio/low_mean": 0.0007994175321073271,
|
| 1696 |
+
"clip_ratio/low_min": 0.0,
|
| 1697 |
+
"clip_ratio/region_mean": 0.000945548432355281,
|
| 1698 |
+
"epoch": 0.7,
|
| 1699 |
+
"grad_norm": 1.8049671427649177,
|
| 1700 |
+
"kl": 0.01051410724176094,
|
| 1701 |
+
"learning_rate": 2.1853936671155127e-07,
|
| 1702 |
+
"loss": 8.087087189778686e-05,
|
| 1703 |
+
"step": 112,
|
| 1704 |
+
"step_time": 26.765085198450834
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"clip_ratio/high_max": 0.0,
|
| 1708 |
+
"clip_ratio/high_mean": 0.0,
|
| 1709 |
+
"clip_ratio/low_mean": 0.0,
|
| 1710 |
+
"clip_ratio/low_min": 0.0,
|
| 1711 |
+
"clip_ratio/region_mean": 0.0,
|
| 1712 |
+
"completions/clipped_ratio": 0.453125,
|
| 1713 |
+
"completions/max_length": 2048.0,
|
| 1714 |
+
"completions/mean_length": 1391.14453125,
|
| 1715 |
+
"completions/min_length": 77.0,
|
| 1716 |
+
"epoch": 0.70625,
|
| 1717 |
+
"frac_reward_zero_std": 0.84375,
|
| 1718 |
+
"grad_norm": 0.7365031850107484,
|
| 1719 |
+
"kl": 0.008011735626496375,
|
| 1720 |
+
"learning_rate": 2.1022175296491512e-07,
|
| 1721 |
+
"loss": 8.013604383450001e-05,
|
| 1722 |
+
"reward": 0.16796875,
|
| 1723 |
+
"reward_std": 0.07456512749195099,
|
| 1724 |
+
"rewards/MajorityAccuracy/mean": 0.16796875,
|
| 1725 |
+
"rewards/MajorityAccuracy/std": 0.3745708465576172,
|
| 1726 |
+
"step": 113,
|
| 1727 |
+
"step_time": 155.16447758954018
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"clip_ratio/high_max": 0.0030697636830154806,
|
| 1731 |
+
"clip_ratio/high_mean": 0.0008768022598815151,
|
| 1732 |
+
"clip_ratio/low_mean": 0.0007003995779086836,
|
| 1733 |
+
"clip_ratio/low_min": 0.0,
|
| 1734 |
+
"clip_ratio/region_mean": 0.0015772018596180715,
|
| 1735 |
+
"epoch": 0.7125,
|
| 1736 |
+
"grad_norm": 3.3799367917576797,
|
| 1737 |
+
"kl": 0.012432863819412887,
|
| 1738 |
+
"learning_rate": 2.0202317766802152e-07,
|
| 1739 |
+
"loss": 0.0003486103960312903,
|
| 1740 |
+
"step": 114,
|
| 1741 |
+
"step_time": 26.723242252599448
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"clip_ratio/high_max": 0.0,
|
| 1745 |
+
"clip_ratio/high_mean": 0.0,
|
| 1746 |
+
"clip_ratio/low_mean": 0.0,
|
| 1747 |
+
"clip_ratio/low_min": 0.0,
|
| 1748 |
+
"clip_ratio/region_mean": 0.0,
|
| 1749 |
+
"epoch": 0.71875,
|
| 1750 |
+
"grad_norm": 0.014531030174674841,
|
| 1751 |
+
"kl": 0.005803723644930869,
|
| 1752 |
+
"learning_rate": 1.9394700872616853e-07,
|
| 1753 |
+
"loss": 5.802825398859568e-05,
|
| 1754 |
+
"step": 115,
|
| 1755 |
+
"step_time": 26.97340378165245
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"clip_ratio/high_max": 0.0,
|
| 1759 |
+
"clip_ratio/high_mean": 0.0,
|
| 1760 |
+
"clip_ratio/low_mean": 0.0,
|
| 1761 |
+
"clip_ratio/low_min": 0.0,
|
| 1762 |
+
"clip_ratio/region_mean": 0.0,
|
| 1763 |
+
"epoch": 0.725,
|
| 1764 |
+
"grad_norm": 0.01722673050680362,
|
| 1765 |
+
"kl": 0.007464097812771797,
|
| 1766 |
+
"learning_rate": 1.8599656376116024e-07,
|
| 1767 |
+
"loss": 7.463899964932352e-05,
|
| 1768 |
+
"step": 116,
|
| 1769 |
+
"step_time": 26.7639531949535
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"clip_ratio/high_max": 0.0,
|
| 1773 |
+
"clip_ratio/high_mean": 0.0,
|
| 1774 |
+
"clip_ratio/low_mean": 0.0,
|
| 1775 |
+
"clip_ratio/low_min": 0.0,
|
| 1776 |
+
"clip_ratio/region_mean": 0.0,
|
| 1777 |
+
"epoch": 0.73125,
|
| 1778 |
+
"grad_norm": 0.011930242037256638,
|
| 1779 |
+
"kl": 0.0049908829387277365,
|
| 1780 |
+
"learning_rate": 1.7817510874845582e-07,
|
| 1781 |
+
"loss": 4.992050162400119e-05,
|
| 1782 |
+
"step": 117,
|
| 1783 |
+
"step_time": 26.87339915521443
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"clip_ratio/high_max": 0.0,
|
| 1787 |
+
"clip_ratio/high_mean": 0.0,
|
| 1788 |
+
"clip_ratio/low_mean": 0.0,
|
| 1789 |
+
"clip_ratio/low_min": 0.0,
|
| 1790 |
+
"clip_ratio/region_mean": 0.0,
|
| 1791 |
+
"epoch": 0.7375,
|
| 1792 |
+
"grad_norm": 0.07770854597853558,
|
| 1793 |
+
"kl": 0.014976364560425282,
|
| 1794 |
+
"learning_rate": 1.7048585667553412e-07,
|
| 1795 |
+
"loss": 0.00014976688544265926,
|
| 1796 |
+
"step": 118,
|
| 1797 |
+
"step_time": 26.31549039389938
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"clip_ratio/high_max": 0.0014421574742300436,
|
| 1801 |
+
"clip_ratio/high_mean": 0.0004541957132460084,
|
| 1802 |
+
"clip_ratio/low_mean": 0.0003473555152595509,
|
| 1803 |
+
"clip_ratio/low_min": 0.0,
|
| 1804 |
+
"clip_ratio/region_mean": 0.0008015512212296017,
|
| 1805 |
+
"epoch": 0.74375,
|
| 1806 |
+
"grad_norm": 1.2967834187971856,
|
| 1807 |
+
"kl": 0.012390738818794489,
|
| 1808 |
+
"learning_rate": 1.6293196622202632e-07,
|
| 1809 |
+
"loss": 0.00014352098514791578,
|
| 1810 |
+
"step": 119,
|
| 1811 |
+
"step_time": 24.588324959855527
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"clip_ratio/high_max": 0.0,
|
| 1815 |
+
"clip_ratio/high_mean": 0.0,
|
| 1816 |
+
"clip_ratio/low_mean": 0.0,
|
| 1817 |
+
"clip_ratio/low_min": 0.0,
|
| 1818 |
+
"clip_ratio/region_mean": 0.0,
|
| 1819 |
+
"epoch": 0.75,
|
| 1820 |
+
"grad_norm": 0.012230160703176595,
|
| 1821 |
+
"kl": 0.004917093901894987,
|
| 1822 |
+
"learning_rate": 1.555165404621567e-07,
|
| 1823 |
+
"loss": 4.9162037612404674e-05,
|
| 1824 |
+
"step": 120,
|
| 1825 |
+
"step_time": 26.76227888604626
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"clip_ratio/high_max": 0.0,
|
| 1829 |
+
"clip_ratio/high_mean": 0.0,
|
| 1830 |
+
"clip_ratio/low_mean": 0.0,
|
| 1831 |
+
"clip_ratio/low_min": 0.0,
|
| 1832 |
+
"clip_ratio/region_mean": 0.0,
|
| 1833 |
+
"completions/clipped_ratio": 0.50390625,
|
| 1834 |
+
"completions/max_length": 2048.0,
|
| 1835 |
+
"completions/mean_length": 1366.05078125,
|
| 1836 |
+
"completions/min_length": 75.0,
|
| 1837 |
+
"epoch": 0.75625,
|
| 1838 |
+
"frac_reward_zero_std": 0.71875,
|
| 1839 |
+
"grad_norm": 1.398419014450869,
|
| 1840 |
+
"kl": 0.011379242059774697,
|
| 1841 |
+
"learning_rate": 1.4824262559002592e-07,
|
| 1842 |
+
"loss": 0.00011378978524589911,
|
| 1843 |
+
"reward": 0.0859375,
|
| 1844 |
+
"reward_std": 0.12217670679092407,
|
| 1845 |
+
"rewards/MajorityAccuracy/mean": 0.0859375,
|
| 1846 |
+
"rewards/MajorityAccuracy/std": 0.28082075715065,
|
| 1847 |
+
"step": 121,
|
| 1848 |
+
"step_time": 155.02819317672402
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"clip_ratio/high_max": 0.0,
|
| 1852 |
+
"clip_ratio/high_mean": 0.0,
|
| 1853 |
+
"clip_ratio/low_mean": 0.0,
|
| 1854 |
+
"clip_ratio/low_min": 0.0,
|
| 1855 |
+
"clip_ratio/region_mean": 0.0,
|
| 1856 |
+
"epoch": 0.7625,
|
| 1857 |
+
"grad_norm": 0.06620525734643937,
|
| 1858 |
+
"kl": 0.010905663366429508,
|
| 1859 |
+
"learning_rate": 1.4111320966826057e-07,
|
| 1860 |
+
"loss": 0.00010902190115302801,
|
| 1861 |
+
"step": 122,
|
| 1862 |
+
"step_time": 26.826717290095985
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"clip_ratio/high_max": 0.0006545117648784071,
|
| 1866 |
+
"clip_ratio/high_mean": 0.00016362794121960178,
|
| 1867 |
+
"clip_ratio/low_mean": 0.00015620220074197277,
|
| 1868 |
+
"clip_ratio/low_min": 0.0,
|
| 1869 |
+
"clip_ratio/region_mean": 0.00031983014196157455,
|
| 1870 |
+
"epoch": 0.76875,
|
| 1871 |
+
"grad_norm": 1.572771290264668,
|
| 1872 |
+
"kl": 0.01976411126088351,
|
| 1873 |
+
"learning_rate": 1.3413122140054217e-07,
|
| 1874 |
+
"loss": 0.0003159487387165427,
|
| 1875 |
+
"step": 123,
|
| 1876 |
+
"step_time": 25.372100255917758
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"clip_ratio/high_max": 0.0,
|
| 1880 |
+
"clip_ratio/high_mean": 0.0,
|
| 1881 |
+
"clip_ratio/low_mean": 0.0,
|
| 1882 |
+
"clip_ratio/low_min": 0.0,
|
| 1883 |
+
"clip_ratio/region_mean": 0.0,
|
| 1884 |
+
"epoch": 0.775,
|
| 1885 |
+
"grad_norm": 0.01754216713116114,
|
| 1886 |
+
"kl": 0.008639852167107165,
|
| 1887 |
+
"learning_rate": 1.272995289285202e-07,
|
| 1888 |
+
"loss": 8.640337910037488e-05,
|
| 1889 |
+
"step": 124,
|
| 1890 |
+
"step_time": 26.782754922751337
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"clip_ratio/high_max": 0.0,
|
| 1894 |
+
"clip_ratio/high_mean": 0.0,
|
| 1895 |
+
"clip_ratio/low_mean": 0.0,
|
| 1896 |
+
"clip_ratio/low_min": 0.0,
|
| 1897 |
+
"clip_ratio/region_mean": 0.0,
|
| 1898 |
+
"epoch": 0.78125,
|
| 1899 |
+
"grad_norm": 0.041730540777026794,
|
| 1900 |
+
"kl": 0.008359367377124727,
|
| 1901 |
+
"learning_rate": 1.2062093865360457e-07,
|
| 1902 |
+
"loss": 8.363890810869634e-05,
|
| 1903 |
+
"step": 125,
|
| 1904 |
+
"step_time": 27.075024450197816
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"clip_ratio/high_max": 0.0006945527493371628,
|
| 1908 |
+
"clip_ratio/high_mean": 0.0001736381873342907,
|
| 1909 |
+
"clip_ratio/low_mean": 0.00028398740687407553,
|
| 1910 |
+
"clip_ratio/low_min": 0.0,
|
| 1911 |
+
"clip_ratio/region_mean": 0.0004576255814754404,
|
| 1912 |
+
"epoch": 0.7875,
|
| 1913 |
+
"grad_norm": 2.0822299730502065,
|
| 1914 |
+
"kl": 0.01820535061415285,
|
| 1915 |
+
"learning_rate": 1.1409819408411897e-07,
|
| 1916 |
+
"loss": 0.00019629986491054296,
|
| 1917 |
+
"step": 126,
|
| 1918 |
+
"step_time": 25.329131461214274
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"clip_ratio/high_max": 0.000730079278582707,
|
| 1922 |
+
"clip_ratio/high_mean": 0.00018251981964567676,
|
| 1923 |
+
"clip_ratio/low_mean": 4.3706295400625095e-05,
|
| 1924 |
+
"clip_ratio/low_min": 0.0,
|
| 1925 |
+
"clip_ratio/region_mean": 0.00022622611504630186,
|
| 1926 |
+
"epoch": 0.79375,
|
| 1927 |
+
"grad_norm": 1.3333086107835757,
|
| 1928 |
+
"kl": 0.007306321000214666,
|
| 1929 |
+
"learning_rate": 1.0773397470829143e-07,
|
| 1930 |
+
"loss": 1.0582036338746548e-05,
|
| 1931 |
+
"step": 127,
|
| 1932 |
+
"step_time": 26.801471484825015
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"clip_ratio/high_max": 0.0022031772168702446,
|
| 1936 |
+
"clip_ratio/high_mean": 0.000583397324589896,
|
| 1937 |
+
"clip_ratio/low_mean": 0.0002948548171843868,
|
| 1938 |
+
"clip_ratio/low_min": 0.0,
|
| 1939 |
+
"clip_ratio/region_mean": 0.0008782521435932722,
|
| 1940 |
+
"epoch": 0.8,
|
| 1941 |
+
"grad_norm": 2.0828578673557057,
|
| 1942 |
+
"kl": 0.018608676036819816,
|
| 1943 |
+
"learning_rate": 1.0153089489354256e-07,
|
| 1944 |
+
"loss": 0.00018779899983201176,
|
| 1945 |
+
"step": 128,
|
| 1946 |
+
"step_time": 25.440661385189742
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"clip_ratio/high_max": 0.0,
|
| 1950 |
+
"clip_ratio/high_mean": 0.0,
|
| 1951 |
+
"clip_ratio/low_mean": 0.0,
|
| 1952 |
+
"clip_ratio/low_min": 0.0,
|
| 1953 |
+
"clip_ratio/region_mean": 0.0,
|
| 1954 |
+
"completions/clipped_ratio": 0.421875,
|
| 1955 |
+
"completions/max_length": 2048.0,
|
| 1956 |
+
"completions/mean_length": 1212.13671875,
|
| 1957 |
+
"completions/min_length": 45.0,
|
| 1958 |
+
"epoch": 0.80625,
|
| 1959 |
+
"frac_reward_zero_std": 0.75,
|
| 1960 |
+
"grad_norm": 0.015388199383950732,
|
| 1961 |
+
"kl": 0.006778586306609213,
|
| 1962 |
+
"learning_rate": 9.549150281252632e-08,
|
| 1963 |
+
"loss": 6.780162220820785e-05,
|
| 1964 |
+
"reward": 0.22265625,
|
| 1965 |
+
"reward_std": 0.0969306081533432,
|
| 1966 |
+
"rewards/MajorityAccuracy/mean": 0.22265625,
|
| 1967 |
+
"rewards/MajorityAccuracy/std": 0.41684433817863464,
|
| 1968 |
+
"step": 129,
|
| 1969 |
+
"step_time": 151.81837910413742
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"clip_ratio/high_max": 0.0011148940902785398,
|
| 1973 |
+
"clip_ratio/high_mean": 0.00027872352256963495,
|
| 1974 |
+
"clip_ratio/low_mean": 0.0,
|
| 1975 |
+
"clip_ratio/low_min": 0.0,
|
| 1976 |
+
"clip_ratio/region_mean": 0.00027872352256963495,
|
| 1977 |
+
"epoch": 0.8125,
|
| 1978 |
+
"grad_norm": 0.6627149377595907,
|
| 1979 |
+
"kl": 0.006986556050833315,
|
| 1980 |
+
"learning_rate": 8.961827939636196e-08,
|
| 1981 |
+
"loss": 0.00015056043048389256,
|
| 1982 |
+
"step": 130,
|
| 1983 |
+
"step_time": 26.625044085085392
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"clip_ratio/high_max": 0.0013157895300537348,
|
| 1987 |
+
"clip_ratio/high_mean": 0.0003289473825134337,
|
| 1988 |
+
"clip_ratio/low_mean": 0.0,
|
| 1989 |
+
"clip_ratio/low_min": 0.0,
|
| 1990 |
+
"clip_ratio/region_mean": 0.0003289473825134337,
|
| 1991 |
+
"epoch": 0.81875,
|
| 1992 |
+
"grad_norm": 5.940331754692217,
|
| 1993 |
+
"kl": 0.013377241499256343,
|
| 1994 |
+
"learning_rate": 8.391363731548811e-08,
|
| 1995 |
+
"loss": 0.00038053077878430486,
|
| 1996 |
+
"step": 131,
|
| 1997 |
+
"step_time": 26.813180739525706
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"clip_ratio/high_max": 0.003610514075262472,
|
| 2001 |
+
"clip_ratio/high_mean": 0.000902628518815618,
|
| 2002 |
+
"clip_ratio/low_mean": 0.0,
|
| 2003 |
+
"clip_ratio/low_min": 0.0,
|
| 2004 |
+
"clip_ratio/region_mean": 0.000902628518815618,
|
| 2005 |
+
"epoch": 0.825,
|
| 2006 |
+
"grad_norm": 2.205942219980894,
|
| 2007 |
+
"kl": 0.00978062639478594,
|
| 2008 |
+
"learning_rate": 7.837991998855897e-08,
|
| 2009 |
+
"loss": 0.00023900911037344486,
|
| 2010 |
+
"step": 132,
|
| 2011 |
+
"step_time": 26.647653618827462
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"clip_ratio/high_max": 0.0,
|
| 2015 |
+
"clip_ratio/high_mean": 0.0,
|
| 2016 |
+
"clip_ratio/low_mean": 0.0,
|
| 2017 |
+
"clip_ratio/low_min": 0.0,
|
| 2018 |
+
"clip_ratio/region_mean": 0.0,
|
| 2019 |
+
"epoch": 0.83125,
|
| 2020 |
+
"grad_norm": 0.0270984372635396,
|
| 2021 |
+
"kl": 0.006505855941213667,
|
| 2022 |
+
"learning_rate": 7.301940061978722e-08,
|
| 2023 |
+
"loss": 6.507345096906647e-05,
|
| 2024 |
+
"step": 133,
|
| 2025 |
+
"step_time": 26.200233521405607
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"clip_ratio/high_max": 0.004194079083390534,
|
| 2029 |
+
"clip_ratio/high_mean": 0.0010485197708476335,
|
| 2030 |
+
"clip_ratio/low_mean": 0.0005264133069431409,
|
| 2031 |
+
"clip_ratio/low_min": 0.0,
|
| 2032 |
+
"clip_ratio/region_mean": 0.0015749330777907744,
|
| 2033 |
+
"epoch": 0.8375,
|
| 2034 |
+
"grad_norm": 2.998272958562403,
|
| 2035 |
+
"kl": 0.020821519661694765,
|
| 2036 |
+
"learning_rate": 6.783428126513125e-08,
|
| 2037 |
+
"loss": 8.821982191875577e-06,
|
| 2038 |
+
"step": 134,
|
| 2039 |
+
"step_time": 22.92338132299483
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"clip_ratio/high_max": 0.0015834500081837177,
|
| 2043 |
+
"clip_ratio/high_mean": 0.0004717120173154399,
|
| 2044 |
+
"clip_ratio/low_mean": 0.0004257133878127206,
|
| 2045 |
+
"clip_ratio/low_min": 0.0,
|
| 2046 |
+
"clip_ratio/region_mean": 0.0008974254196800757,
|
| 2047 |
+
"epoch": 0.84375,
|
| 2048 |
+
"grad_norm": 1.621376474528955,
|
| 2049 |
+
"kl": 0.0179542318219319,
|
| 2050 |
+
"learning_rate": 6.282669192770895e-08,
|
| 2051 |
+
"loss": 0.00039264376391656697,
|
| 2052 |
+
"step": 135,
|
| 2053 |
+
"step_time": 20.103833733592182
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"clip_ratio/high_max": 0.00035531551111489534,
|
| 2057 |
+
"clip_ratio/high_mean": 8.882887777872384e-05,
|
| 2058 |
+
"clip_ratio/low_mean": 0.0002952300346805714,
|
| 2059 |
+
"clip_ratio/low_min": 0.0,
|
| 2060 |
+
"clip_ratio/region_mean": 0.00038405891245929524,
|
| 2061 |
+
"epoch": 0.85,
|
| 2062 |
+
"grad_norm": 1.0315667669268904,
|
| 2063 |
+
"kl": 0.007368818449322134,
|
| 2064 |
+
"learning_rate": 5.799868968281074e-08,
|
| 2065 |
+
"loss": -6.9427769631147385e-06,
|
| 2066 |
+
"step": 136,
|
| 2067 |
+
"step_time": 26.87751655979082
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"clip_ratio/high_max": 0.0,
|
| 2071 |
+
"clip_ratio/high_mean": 0.0,
|
| 2072 |
+
"clip_ratio/low_mean": 0.0,
|
| 2073 |
+
"clip_ratio/low_min": 0.0,
|
| 2074 |
+
"clip_ratio/region_mean": 0.0,
|
| 2075 |
+
"completions/clipped_ratio": 0.53515625,
|
| 2076 |
+
"completions/max_length": 2048.0,
|
| 2077 |
+
"completions/mean_length": 1468.66796875,
|
| 2078 |
+
"completions/min_length": 88.0,
|
| 2079 |
+
"epoch": 0.85625,
|
| 2080 |
+
"frac_reward_zero_std": 0.84375,
|
| 2081 |
+
"grad_norm": 0.8187254294292194,
|
| 2082 |
+
"kl": 0.005746973329223692,
|
| 2083 |
+
"learning_rate": 5.335225783287051e-08,
|
| 2084 |
+
"loss": 5.7477351219858974e-05,
|
| 2085 |
+
"reward": 0.02734375,
|
| 2086 |
+
"reward_std": 0.062077511101961136,
|
| 2087 |
+
"rewards/MajorityAccuracy/mean": 0.02734375,
|
| 2088 |
+
"rewards/MajorityAccuracy/std": 0.1634024679660797,
|
| 2089 |
+
"step": 137,
|
| 2090 |
+
"step_time": 164.75813856068999
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"clip_ratio/high_max": 0.00021968365763314068,
|
| 2094 |
+
"clip_ratio/high_mean": 5.492091440828517e-05,
|
| 2095 |
+
"clip_ratio/low_mean": 6.188119004946202e-05,
|
| 2096 |
+
"clip_ratio/low_min": 0.0,
|
| 2097 |
+
"clip_ratio/region_mean": 0.00011680210445774719,
|
| 2098 |
+
"epoch": 0.8625,
|
| 2099 |
+
"grad_norm": 1.4576694967650248,
|
| 2100 |
+
"kl": 0.013448629411868751,
|
| 2101 |
+
"learning_rate": 4.888930509274125e-08,
|
| 2102 |
+
"loss": 0.0002871984615921974,
|
| 2103 |
+
"step": 138,
|
| 2104 |
+
"step_time": 26.719793835189193
|
| 2105 |
+
},
|
| 2106 |
+
{
|
| 2107 |
+
"clip_ratio/high_max": 0.0,
|
| 2108 |
+
"clip_ratio/high_mean": 0.0,
|
| 2109 |
+
"clip_ratio/low_mean": 0.000320616876706481,
|
| 2110 |
+
"clip_ratio/low_min": 0.0,
|
| 2111 |
+
"clip_ratio/region_mean": 0.000320616876706481,
|
| 2112 |
+
"epoch": 0.86875,
|
| 2113 |
+
"grad_norm": 1.3367398899924527,
|
| 2114 |
+
"kl": 0.007293398433830589,
|
| 2115 |
+
"learning_rate": 4.4611664805611794e-08,
|
| 2116 |
+
"loss": 5.291788693284616e-05,
|
| 2117 |
+
"step": 139,
|
| 2118 |
+
"step_time": 26.564459088258445
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"clip_ratio/high_max": 0.0018939394503831863,
|
| 2122 |
+
"clip_ratio/high_mean": 0.0004734848625957966,
|
| 2123 |
+
"clip_ratio/low_mean": 0.0006541290094901342,
|
| 2124 |
+
"clip_ratio/low_min": 0.0,
|
| 2125 |
+
"clip_ratio/region_mean": 0.0011276138720859308,
|
| 2126 |
+
"epoch": 0.875,
|
| 2127 |
+
"grad_norm": 2.955589481631081,
|
| 2128 |
+
"kl": 0.010265048360452056,
|
| 2129 |
+
"learning_rate": 4.0521094189884696e-08,
|
| 2130 |
+
"loss": 2.4297929485328496e-05,
|
| 2131 |
+
"step": 140,
|
| 2132 |
+
"step_time": 26.950957958120853
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"clip_ratio/high_max": 0.0,
|
| 2136 |
+
"clip_ratio/high_mean": 0.0,
|
| 2137 |
+
"clip_ratio/low_mean": 0.0,
|
| 2138 |
+
"clip_ratio/low_min": 0.0,
|
| 2139 |
+
"clip_ratio/region_mean": 0.0,
|
| 2140 |
+
"epoch": 0.88125,
|
| 2141 |
+
"grad_norm": 0.034188932641082116,
|
| 2142 |
+
"kl": 0.014033226994797587,
|
| 2143 |
+
"learning_rate": 3.6619273617325695e-08,
|
| 2144 |
+
"loss": 0.00014030520105734468,
|
| 2145 |
+
"step": 141,
|
| 2146 |
+
"step_time": 23.993929421529174
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"clip_ratio/high_max": 0.0,
|
| 2150 |
+
"clip_ratio/high_mean": 0.0,
|
| 2151 |
+
"clip_ratio/low_mean": 0.0,
|
| 2152 |
+
"clip_ratio/low_min": 0.0,
|
| 2153 |
+
"clip_ratio/region_mean": 0.0,
|
| 2154 |
+
"epoch": 0.8875,
|
| 2155 |
+
"grad_norm": 0.02687108882322541,
|
| 2156 |
+
"kl": 0.009321994439233094,
|
| 2157 |
+
"learning_rate": 3.2907805922781476e-08,
|
| 2158 |
+
"loss": 9.315910574514419e-05,
|
| 2159 |
+
"step": 142,
|
| 2160 |
+
"step_time": 27.088350536301732
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"clip_ratio/high_max": 0.00029256875859573483,
|
| 2164 |
+
"clip_ratio/high_mean": 7.314218964893371e-05,
|
| 2165 |
+
"clip_ratio/low_mean": 0.00031975185265764594,
|
| 2166 |
+
"clip_ratio/low_min": 0.0,
|
| 2167 |
+
"clip_ratio/region_mean": 0.00039289404230657965,
|
| 2168 |
+
"epoch": 0.89375,
|
| 2169 |
+
"grad_norm": 0.8805777947911665,
|
| 2170 |
+
"kl": 0.00912090262863785,
|
| 2171 |
+
"learning_rate": 2.9388215745748345e-08,
|
| 2172 |
+
"loss": 7.797927537467331e-05,
|
| 2173 |
+
"step": 143,
|
| 2174 |
+
"step_time": 26.64154642028734
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"clip_ratio/high_max": 0.0,
|
| 2178 |
+
"clip_ratio/high_mean": 0.0,
|
| 2179 |
+
"clip_ratio/low_mean": 0.0,
|
| 2180 |
+
"clip_ratio/low_min": 0.0,
|
| 2181 |
+
"clip_ratio/region_mean": 0.0,
|
| 2182 |
+
"epoch": 0.9,
|
| 2183 |
+
"grad_norm": 0.028985809793831575,
|
| 2184 |
+
"kl": 0.007195727434009314,
|
| 2185 |
+
"learning_rate": 2.6061948904063658e-08,
|
| 2186 |
+
"loss": 7.192476186901331e-05,
|
| 2187 |
+
"step": 144,
|
| 2188 |
+
"step_time": 26.978306213393807
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"clip_ratio/high_max": 0.0,
|
| 2192 |
+
"clip_ratio/high_mean": 0.0,
|
| 2193 |
+
"clip_ratio/low_mean": 0.0,
|
| 2194 |
+
"clip_ratio/low_min": 0.0,
|
| 2195 |
+
"clip_ratio/region_mean": 0.0,
|
| 2196 |
+
"completions/clipped_ratio": 0.59765625,
|
| 2197 |
+
"completions/max_length": 2048.0,
|
| 2198 |
+
"completions/mean_length": 1560.23046875,
|
| 2199 |
+
"completions/min_length": 52.0,
|
| 2200 |
+
"epoch": 0.90625,
|
| 2201 |
+
"frac_reward_zero_std": 0.84375,
|
| 2202 |
+
"grad_norm": 1.2744340719413723,
|
| 2203 |
+
"kl": 0.011594063369557261,
|
| 2204 |
+
"learning_rate": 2.293037179997559e-08,
|
| 2205 |
+
"loss": 0.00011600236757658422,
|
| 2206 |
+
"reward": 0.0625,
|
| 2207 |
+
"reward_std": 0.07285766303539276,
|
| 2208 |
+
"rewards/MajorityAccuracy/mean": 0.0625,
|
| 2209 |
+
"rewards/MajorityAccuracy/std": 0.24253562092781067,
|
| 2210 |
+
"step": 145,
|
| 2211 |
+
"step_time": 176.2529188534245
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"clip_ratio/high_max": 0.00024875623057596385,
|
| 2215 |
+
"clip_ratio/high_mean": 6.218905764399096e-05,
|
| 2216 |
+
"clip_ratio/low_mean": 0.0001809743516787421,
|
| 2217 |
+
"clip_ratio/low_min": 0.0,
|
| 2218 |
+
"clip_ratio/region_mean": 0.00024316340932273306,
|
| 2219 |
+
"epoch": 0.9125,
|
| 2220 |
+
"grad_norm": 1.9255091617650708,
|
| 2221 |
+
"kl": 0.009172394464258105,
|
| 2222 |
+
"learning_rate": 1.9994770858837107e-08,
|
| 2223 |
+
"loss": 0.0002974029921460897,
|
| 2224 |
+
"step": 146,
|
| 2225 |
+
"step_time": 26.28397779772058
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"clip_ratio/high_max": 0.0,
|
| 2229 |
+
"clip_ratio/high_mean": 0.0,
|
| 2230 |
+
"clip_ratio/low_mean": 0.0,
|
| 2231 |
+
"clip_ratio/low_min": 0.0,
|
| 2232 |
+
"clip_ratio/region_mean": 0.0,
|
| 2233 |
+
"epoch": 0.91875,
|
| 2234 |
+
"grad_norm": 0.015156157447921488,
|
| 2235 |
+
"kl": 0.006486153695732355,
|
| 2236 |
+
"learning_rate": 1.725635200065323e-08,
|
| 2237 |
+
"loss": 6.48813511361368e-05,
|
| 2238 |
+
"step": 147,
|
| 2239 |
+
"step_time": 26.857949655968696
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"clip_ratio/high_max": 0.0,
|
| 2243 |
+
"clip_ratio/high_mean": 0.0,
|
| 2244 |
+
"clip_ratio/low_mean": 0.0,
|
| 2245 |
+
"clip_ratio/low_min": 0.0,
|
| 2246 |
+
"clip_ratio/region_mean": 0.0,
|
| 2247 |
+
"epoch": 0.925,
|
| 2248 |
+
"grad_norm": 0.08683902228018602,
|
| 2249 |
+
"kl": 0.013566220994107425,
|
| 2250 |
+
"learning_rate": 1.4716240144699187e-08,
|
| 2251 |
+
"loss": 0.00013575496268458664,
|
| 2252 |
+
"step": 148,
|
| 2253 |
+
"step_time": 26.733054484706372
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"clip_ratio/high_max": 0.0,
|
| 2257 |
+
"clip_ratio/high_mean": 0.0,
|
| 2258 |
+
"clip_ratio/low_mean": 0.0,
|
| 2259 |
+
"clip_ratio/low_min": 0.0,
|
| 2260 |
+
"clip_ratio/region_mean": 0.0,
|
| 2261 |
+
"epoch": 0.93125,
|
| 2262 |
+
"grad_norm": 0.01740988151405503,
|
| 2263 |
+
"kl": 0.008656658348627388,
|
| 2264 |
+
"learning_rate": 1.2375478747413015e-08,
|
| 2265 |
+
"loss": 8.659077138872817e-05,
|
| 2266 |
+
"step": 149,
|
| 2267 |
+
"step_time": 26.85643630195409
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"clip_ratio/high_max": 0.003258550525060855,
|
| 2271 |
+
"clip_ratio/high_mean": 0.0008405927765124943,
|
| 2272 |
+
"clip_ratio/low_mean": 9.256896009901538e-05,
|
| 2273 |
+
"clip_ratio/low_min": 0.0,
|
| 2274 |
+
"clip_ratio/region_mean": 0.0009331617366115097,
|
| 2275 |
+
"epoch": 0.9375,
|
| 2276 |
+
"grad_norm": 1.7438783169210048,
|
| 2277 |
+
"kl": 0.01272004540078342,
|
| 2278 |
+
"learning_rate": 1.0235029373752757e-08,
|
| 2279 |
+
"loss": 0.0001386065559927374,
|
| 2280 |
+
"step": 150,
|
| 2281 |
+
"step_time": 26.564744458068162
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"clip_ratio/high_max": 0.0003419037093408406,
|
| 2285 |
+
"clip_ratio/high_mean": 8.547592733521014e-05,
|
| 2286 |
+
"clip_ratio/low_mean": 0.00018922329400083981,
|
| 2287 |
+
"clip_ratio/low_min": 0.0,
|
| 2288 |
+
"clip_ratio/region_mean": 0.00027469922133604996,
|
| 2289 |
+
"epoch": 0.94375,
|
| 2290 |
+
"grad_norm": 0.6648932831625102,
|
| 2291 |
+
"kl": 0.013691604253835976,
|
| 2292 |
+
"learning_rate": 8.295771302193721e-09,
|
| 2293 |
+
"loss": 9.066698112292215e-05,
|
| 2294 |
+
"step": 151,
|
| 2295 |
+
"step_time": 26.71848249156028
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"clip_ratio/high_max": 0.0,
|
| 2299 |
+
"clip_ratio/high_mean": 0.0,
|
| 2300 |
+
"clip_ratio/low_mean": 0.0,
|
| 2301 |
+
"clip_ratio/low_min": 0.0,
|
| 2302 |
+
"clip_ratio/region_mean": 0.0,
|
| 2303 |
+
"epoch": 0.95,
|
| 2304 |
+
"grad_norm": 0.020258463472313464,
|
| 2305 |
+
"kl": 0.008618996245786548,
|
| 2306 |
+
"learning_rate": 6.558501163527963e-09,
|
| 2307 |
+
"loss": 8.617889398010448e-05,
|
| 2308 |
+
"step": 152,
|
| 2309 |
+
"step_time": 26.735242248978466
|
| 2310 |
+
},
|
| 2311 |
+
{
|
| 2312 |
+
"clip_ratio/high_max": 0.0,
|
| 2313 |
+
"clip_ratio/high_mean": 0.0,
|
| 2314 |
+
"clip_ratio/low_mean": 0.0,
|
| 2315 |
+
"clip_ratio/low_min": 0.0,
|
| 2316 |
+
"clip_ratio/region_mean": 0.0,
|
| 2317 |
+
"completions/clipped_ratio": 0.41796875,
|
| 2318 |
+
"completions/max_length": 2048.0,
|
| 2319 |
+
"completions/mean_length": 1345.20703125,
|
| 2320 |
+
"completions/min_length": 74.0,
|
| 2321 |
+
"epoch": 0.95625,
|
| 2322 |
+
"frac_reward_zero_std": 0.84375,
|
| 2323 |
+
"grad_norm": 0.016695741939313495,
|
| 2324 |
+
"kl": 0.007659378054086119,
|
| 2325 |
+
"learning_rate": 5.023932613615445e-09,
|
| 2326 |
+
"loss": 7.65768563724123e-05,
|
| 2327 |
+
"reward": 0.03515625,
|
| 2328 |
+
"reward_std": 0.06431539356708527,
|
| 2329 |
+
"rewards/MajorityAccuracy/mean": 0.03515625,
|
| 2330 |
+
"rewards/MajorityAccuracy/std": 0.18453538417816162,
|
| 2331 |
+
"step": 153,
|
| 2332 |
+
"step_time": 155.41679071541876
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"clip_ratio/high_max": 0.0001250000059371814,
|
| 2336 |
+
"clip_ratio/high_mean": 5.6310145737370476e-05,
|
| 2337 |
+
"clip_ratio/low_mean": 0.000332515272020828,
|
| 2338 |
+
"clip_ratio/low_min": 0.0,
|
| 2339 |
+
"clip_ratio/region_mean": 0.00038882541775819845,
|
| 2340 |
+
"epoch": 0.9625,
|
| 2341 |
+
"grad_norm": 6.907096307036719,
|
| 2342 |
+
"kl": 0.008856939210090786,
|
| 2343 |
+
"learning_rate": 3.6926960402202666e-09,
|
| 2344 |
+
"loss": 0.00016664962458889931,
|
| 2345 |
+
"step": 154,
|
| 2346 |
+
"step_time": 25.82958129281178
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"clip_ratio/high_max": 0.0,
|
| 2350 |
+
"clip_ratio/high_mean": 0.0,
|
| 2351 |
+
"clip_ratio/low_mean": 0.0,
|
| 2352 |
+
"clip_ratio/low_min": 0.0,
|
| 2353 |
+
"clip_ratio/region_mean": 0.0,
|
| 2354 |
+
"epoch": 0.96875,
|
| 2355 |
+
"grad_norm": 0.04054230173883739,
|
| 2356 |
+
"kl": 0.010447263019159436,
|
| 2357 |
+
"learning_rate": 2.5653383040524224e-09,
|
| 2358 |
+
"loss": 0.00010453962022438645,
|
| 2359 |
+
"step": 155,
|
| 2360 |
+
"step_time": 26.363256284501404
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"clip_ratio/high_max": 0.0,
|
| 2364 |
+
"clip_ratio/high_mean": 0.0,
|
| 2365 |
+
"clip_ratio/low_mean": 0.0,
|
| 2366 |
+
"clip_ratio/low_min": 0.0,
|
| 2367 |
+
"clip_ratio/region_mean": 0.0,
|
| 2368 |
+
"epoch": 0.975,
|
| 2369 |
+
"grad_norm": 0.06442776692427306,
|
| 2370 |
+
"kl": 0.013645334052853286,
|
| 2371 |
+
"learning_rate": 1.642322514122385e-09,
|
| 2372 |
+
"loss": 0.00013646653678733855,
|
| 2373 |
+
"step": 156,
|
| 2374 |
+
"step_time": 26.775199726223946
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"clip_ratio/high_max": 0.0,
|
| 2378 |
+
"clip_ratio/high_mean": 0.0,
|
| 2379 |
+
"clip_ratio/low_mean": 0.0001373291015625,
|
| 2380 |
+
"clip_ratio/low_min": 0.0,
|
| 2381 |
+
"clip_ratio/region_mean": 0.0001373291015625,
|
| 2382 |
+
"epoch": 0.98125,
|
| 2383 |
+
"grad_norm": 2.8878797209219695,
|
| 2384 |
+
"kl": 0.007414382300339639,
|
| 2385 |
+
"learning_rate": 9.240278374995636e-10,
|
| 2386 |
+
"loss": 0.00023311373661272228,
|
| 2387 |
+
"step": 157,
|
| 2388 |
+
"step_time": 26.643694618251175
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"clip_ratio/high_max": 0.0008029794335016049,
|
| 2392 |
+
"clip_ratio/high_mean": 0.00020074485837540124,
|
| 2393 |
+
"clip_ratio/low_mean": 0.00016518866323167458,
|
| 2394 |
+
"clip_ratio/low_min": 0.0,
|
| 2395 |
+
"clip_ratio/region_mean": 0.0003659335216070758,
|
| 2396 |
+
"epoch": 0.9875,
|
| 2397 |
+
"grad_norm": 1.1602470154521372,
|
| 2398 |
+
"kl": 0.026192285818979144,
|
| 2399 |
+
"learning_rate": 4.1074934355384006e-10,
|
| 2400 |
+
"loss": 0.00014167994959279895,
|
| 2401 |
+
"step": 158,
|
| 2402 |
+
"step_time": 26.37436231179163
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"clip_ratio/high_max": 0.0,
|
| 2406 |
+
"clip_ratio/high_mean": 0.0,
|
| 2407 |
+
"clip_ratio/low_mean": 0.0,
|
| 2408 |
+
"clip_ratio/low_min": 0.0,
|
| 2409 |
+
"clip_ratio/region_mean": 0.0,
|
| 2410 |
+
"epoch": 0.99375,
|
| 2411 |
+
"grad_norm": 0.01853860179790976,
|
| 2412 |
+
"kl": 0.0078060178784653544,
|
| 2413 |
+
"learning_rate": 1.0269788274358537e-10,
|
| 2414 |
+
"loss": 7.806069334037602e-05,
|
| 2415 |
+
"step": 159,
|
| 2416 |
+
"step_time": 26.683148867916316
|
| 2417 |
+
},
|
| 2418 |
+
{
|
| 2419 |
+
"clip_ratio/high_max": 0.00020064205455128103,
|
| 2420 |
+
"clip_ratio/high_mean": 5.016051363782026e-05,
|
| 2421 |
+
"clip_ratio/low_mean": 0.00032204287708736956,
|
| 2422 |
+
"clip_ratio/low_min": 0.0,
|
| 2423 |
+
"clip_ratio/region_mean": 0.0003722033907251898,
|
| 2424 |
+
"epoch": 1.0,
|
| 2425 |
+
"grad_norm": 1.7375347942327866,
|
| 2426 |
+
"kl": 0.016499884659424424,
|
| 2427 |
+
"learning_rate": 0.0,
|
| 2428 |
+
"loss": 9.40408936003223e-05,
|
| 2429 |
+
"step": 160,
|
| 2430 |
+
"step_time": 25.909942389000207
|
| 2431 |
+
}
|
| 2432 |
+
],
|
| 2433 |
+
"logging_steps": 1,
|
| 2434 |
+
"max_steps": 160,
|
| 2435 |
+
"num_input_tokens_seen": 0,
|
| 2436 |
+
"num_train_epochs": 1,
|
| 2437 |
+
"save_steps": 16,
|
| 2438 |
+
"stateful_callbacks": {
|
| 2439 |
+
"TrainerControl": {
|
| 2440 |
+
"args": {
|
| 2441 |
+
"should_epoch_stop": false,
|
| 2442 |
+
"should_evaluate": false,
|
| 2443 |
+
"should_log": false,
|
| 2444 |
+
"should_save": true,
|
| 2445 |
+
"should_training_stop": true
|
| 2446 |
+
},
|
| 2447 |
+
"attributes": {}
|
| 2448 |
+
}
|
| 2449 |
+
},
|
| 2450 |
+
"total_flos": 0.0,
|
| 2451 |
+
"train_batch_size": 1,
|
| 2452 |
+
"trial_name": null,
|
| 2453 |
+
"trial_params": null
|
| 2454 |
+
}
|