Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- args.json +381 -0
- chat_template.jinja +7 -0
- config.json +138 -0
- generation_config.json +12 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +737 -0
- preprocessor_config.json +19 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_state.json +2266 -0
- training_args.bin +3 -0
- video_preprocessor_config.json +43 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
args.json
ADDED
|
@@ -0,0 +1,381 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509",
|
| 3 |
+
"overwrite_output_dir": false,
|
| 4 |
+
"do_train": false,
|
| 5 |
+
"do_eval": false,
|
| 6 |
+
"do_predict": false,
|
| 7 |
+
"eval_strategy": "no",
|
| 8 |
+
"prediction_loss_only": false,
|
| 9 |
+
"per_device_train_batch_size": 1,
|
| 10 |
+
"per_device_eval_batch_size": 1,
|
| 11 |
+
"per_gpu_train_batch_size": null,
|
| 12 |
+
"per_gpu_eval_batch_size": null,
|
| 13 |
+
"gradient_accumulation_steps": 2,
|
| 14 |
+
"eval_accumulation_steps": null,
|
| 15 |
+
"eval_delay": 0,
|
| 16 |
+
"torch_empty_cache_steps": null,
|
| 17 |
+
"learning_rate": 1e-05,
|
| 18 |
+
"weight_decay": 0.1,
|
| 19 |
+
"adam_beta1": 0.9,
|
| 20 |
+
"adam_beta2": 0.95,
|
| 21 |
+
"adam_epsilon": 1e-08,
|
| 22 |
+
"max_grad_norm": 1.0,
|
| 23 |
+
"num_train_epochs": 5.0,
|
| 24 |
+
"max_steps": -1,
|
| 25 |
+
"lr_scheduler_type": "cosine",
|
| 26 |
+
"lr_scheduler_kwargs": null,
|
| 27 |
+
"warmup_ratio": 0.05,
|
| 28 |
+
"warmup_steps": 0,
|
| 29 |
+
"log_level": "passive",
|
| 30 |
+
"log_level_replica": "warning",
|
| 31 |
+
"log_on_each_node": true,
|
| 32 |
+
"logging_dir": "/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 5,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "epoch",
|
| 38 |
+
"save_steps": 500,
|
| 39 |
+
"save_total_limit": 5,
|
| 40 |
+
"save_safetensors": true,
|
| 41 |
+
"save_on_each_node": false,
|
| 42 |
+
"save_only_model": true,
|
| 43 |
+
"restore_callback_states_from_checkpoint": false,
|
| 44 |
+
"no_cuda": false,
|
| 45 |
+
"use_cpu": false,
|
| 46 |
+
"use_mps_device": false,
|
| 47 |
+
"seed": 42,
|
| 48 |
+
"data_seed": 42,
|
| 49 |
+
"jit_mode_eval": false,
|
| 50 |
+
"use_ipex": false,
|
| 51 |
+
"bf16": true,
|
| 52 |
+
"fp16": false,
|
| 53 |
+
"fp16_opt_level": "O1",
|
| 54 |
+
"half_precision_backend": "auto",
|
| 55 |
+
"bf16_full_eval": false,
|
| 56 |
+
"fp16_full_eval": false,
|
| 57 |
+
"tf32": null,
|
| 58 |
+
"local_rank": 0,
|
| 59 |
+
"ddp_backend": null,
|
| 60 |
+
"tpu_num_cores": null,
|
| 61 |
+
"tpu_metrics_debug": false,
|
| 62 |
+
"debug": null,
|
| 63 |
+
"dataloader_drop_last": false,
|
| 64 |
+
"eval_steps": null,
|
| 65 |
+
"dataloader_num_workers": 4,
|
| 66 |
+
"dataloader_prefetch_factor": null,
|
| 67 |
+
"past_index": -1,
|
| 68 |
+
"run_name": "/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509",
|
| 69 |
+
"disable_tqdm": null,
|
| 70 |
+
"remove_unused_columns": true,
|
| 71 |
+
"label_names": null,
|
| 72 |
+
"load_best_model_at_end": false,
|
| 73 |
+
"metric_for_best_model": "loss",
|
| 74 |
+
"greater_is_better": false,
|
| 75 |
+
"ignore_data_skip": false,
|
| 76 |
+
"fsdp": "",
|
| 77 |
+
"fsdp_min_num_params": 0,
|
| 78 |
+
"fsdp_config": null,
|
| 79 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 80 |
+
"accelerator_config": {
|
| 81 |
+
"dispatch_batches": false
|
| 82 |
+
},
|
| 83 |
+
"deepspeed": {
|
| 84 |
+
"fp16": {
|
| 85 |
+
"enabled": "auto",
|
| 86 |
+
"loss_scale": 0,
|
| 87 |
+
"loss_scale_window": 1000,
|
| 88 |
+
"initial_scale_power": 16,
|
| 89 |
+
"hysteresis": 2,
|
| 90 |
+
"min_loss_scale": 1
|
| 91 |
+
},
|
| 92 |
+
"bf16": {
|
| 93 |
+
"enabled": "auto"
|
| 94 |
+
},
|
| 95 |
+
"zero_optimization": {
|
| 96 |
+
"stage": 2,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"allgather_partitions": true,
|
| 102 |
+
"allgather_bucket_size": 200000000.0,
|
| 103 |
+
"overlap_comm": false,
|
| 104 |
+
"reduce_scatter": true,
|
| 105 |
+
"reduce_bucket_size": 200000000.0,
|
| 106 |
+
"contiguous_gradients": true
|
| 107 |
+
},
|
| 108 |
+
"gradient_accumulation_steps": "auto",
|
| 109 |
+
"gradient_clipping": "auto",
|
| 110 |
+
"steps_per_print": 2000,
|
| 111 |
+
"train_batch_size": "auto",
|
| 112 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 113 |
+
"wall_clock_breakdown": false
|
| 114 |
+
},
|
| 115 |
+
"label_smoothing_factor": 0.0,
|
| 116 |
+
"optim": "adamw_torch",
|
| 117 |
+
"optim_args": null,
|
| 118 |
+
"adafactor": false,
|
| 119 |
+
"group_by_length": false,
|
| 120 |
+
"length_column_name": "length",
|
| 121 |
+
"report_to": [
|
| 122 |
+
"wandb"
|
| 123 |
+
],
|
| 124 |
+
"ddp_find_unused_parameters": null,
|
| 125 |
+
"ddp_bucket_cap_mb": null,
|
| 126 |
+
"ddp_broadcast_buffers": null,
|
| 127 |
+
"dataloader_pin_memory": true,
|
| 128 |
+
"dataloader_persistent_workers": false,
|
| 129 |
+
"skip_memory_metrics": true,
|
| 130 |
+
"use_legacy_prediction_loop": false,
|
| 131 |
+
"push_to_hub": false,
|
| 132 |
+
"resume_from_checkpoint": null,
|
| 133 |
+
"hub_model_id": null,
|
| 134 |
+
"hub_strategy": "every_save",
|
| 135 |
+
"hub_token": null,
|
| 136 |
+
"hub_private_repo": null,
|
| 137 |
+
"hub_always_push": false,
|
| 138 |
+
"hub_revision": null,
|
| 139 |
+
"gradient_checkpointing": true,
|
| 140 |
+
"gradient_checkpointing_kwargs": null,
|
| 141 |
+
"include_inputs_for_metrics": false,
|
| 142 |
+
"include_for_metrics": [],
|
| 143 |
+
"eval_do_concat_batches": true,
|
| 144 |
+
"fp16_backend": "auto",
|
| 145 |
+
"push_to_hub_model_id": null,
|
| 146 |
+
"push_to_hub_organization": null,
|
| 147 |
+
"push_to_hub_token": null,
|
| 148 |
+
"mp_parameters": "",
|
| 149 |
+
"auto_find_batch_size": false,
|
| 150 |
+
"full_determinism": false,
|
| 151 |
+
"torchdynamo": null,
|
| 152 |
+
"ray_scope": "last",
|
| 153 |
+
"ddp_timeout": 18000000,
|
| 154 |
+
"torch_compile": false,
|
| 155 |
+
"torch_compile_backend": null,
|
| 156 |
+
"torch_compile_mode": null,
|
| 157 |
+
"include_tokens_per_second": false,
|
| 158 |
+
"include_num_input_tokens_seen": false,
|
| 159 |
+
"neftune_noise_alpha": null,
|
| 160 |
+
"optim_target_modules": null,
|
| 161 |
+
"batch_eval_metrics": false,
|
| 162 |
+
"eval_on_start": false,
|
| 163 |
+
"use_liger_kernel": false,
|
| 164 |
+
"liger_kernel_config": null,
|
| 165 |
+
"eval_use_gather_object": false,
|
| 166 |
+
"average_tokens_across_devices": true,
|
| 167 |
+
"sortish_sampler": false,
|
| 168 |
+
"predict_with_generate": false,
|
| 169 |
+
"generation_max_length": null,
|
| 170 |
+
"generation_num_beams": null,
|
| 171 |
+
"generation_config": null,
|
| 172 |
+
"tuner_backend": "peft",
|
| 173 |
+
"vit_gradient_checkpointing": null,
|
| 174 |
+
"router_aux_loss_coef": 0.0,
|
| 175 |
+
"enable_dft_loss": false,
|
| 176 |
+
"enable_channel_loss": false,
|
| 177 |
+
"check_model": true,
|
| 178 |
+
"acc_strategy": "token",
|
| 179 |
+
"train_dataloader_shuffle": true,
|
| 180 |
+
"max_epochs": null,
|
| 181 |
+
"aligner_lr": null,
|
| 182 |
+
"vit_lr": null,
|
| 183 |
+
"use_logits_to_keep": null,
|
| 184 |
+
"ds3_gather_for_generation": true,
|
| 185 |
+
"resume_only_model": false,
|
| 186 |
+
"optimizer": null,
|
| 187 |
+
"loss_type": null,
|
| 188 |
+
"metric": null,
|
| 189 |
+
"eval_use_evalscope": false,
|
| 190 |
+
"eval_dataset": [],
|
| 191 |
+
"eval_dataset_args": null,
|
| 192 |
+
"eval_limit": null,
|
| 193 |
+
"eval_generation_config": null,
|
| 194 |
+
"extra_eval_args": null,
|
| 195 |
+
"use_flash_ckpt": false,
|
| 196 |
+
"model": "/data_genie/genie/yfzhang/models/Qwen2.5-VL-7B-Instruct",
|
| 197 |
+
"model_type": "qwen2_5_vl",
|
| 198 |
+
"model_revision": null,
|
| 199 |
+
"task_type": "causal_lm",
|
| 200 |
+
"torch_dtype": "bfloat16",
|
| 201 |
+
"attn_impl": "flash_attn",
|
| 202 |
+
"new_special_tokens": [],
|
| 203 |
+
"num_labels": null,
|
| 204 |
+
"problem_type": null,
|
| 205 |
+
"rope_scaling": null,
|
| 206 |
+
"device_map": null,
|
| 207 |
+
"max_memory": {},
|
| 208 |
+
"max_model_len": null,
|
| 209 |
+
"local_repo_path": null,
|
| 210 |
+
"init_strategy": null,
|
| 211 |
+
"template": "qwen2_5_vl",
|
| 212 |
+
"system": "You are a helpful assistant.\n\nSolve the following problem step by step, and optionally write Python code for image manipulation to enhance your reasoning process. The Python code will be executed by an external sandbox, and the processed image or result (wrapped in <sandbox_output></sandbox_output>) can be returned to aid your reasoning and help you arrive at the final answer.\n\n**Reasoning & Image Manipulation (Optional but Encouraged):**\n * You have the capability to write executable Python code to perform image manipulations (e.g., cropping to a Region of Interest (ROI), resizing, rotation, adjusting contrast) or perform calculation for better reasoning.\n * The code will be executed in a secure sandbox, and its output will be provided back to you for further analysis.\n * All Python code snippets **must** be wrapped as follows:\n <code>\n ```python\n # your code.\n ```\n </code>\n * At the end of the code, print the path of the processed image (processed_path) or the result for further processing in a sandbox environment.",
|
| 213 |
+
"max_length": 20480,
|
| 214 |
+
"truncation_strategy": "delete",
|
| 215 |
+
"max_pixels": null,
|
| 216 |
+
"agent_template": null,
|
| 217 |
+
"norm_bbox": null,
|
| 218 |
+
"use_chat_template": true,
|
| 219 |
+
"padding_free": false,
|
| 220 |
+
"padding_side": "right",
|
| 221 |
+
"loss_scale": "default",
|
| 222 |
+
"sequence_parallel_size": 1,
|
| 223 |
+
"response_prefix": null,
|
| 224 |
+
"template_backend": "swift",
|
| 225 |
+
"dataset": [
|
| 226 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/glm4.5/step6_all_rounds/kwai_high_res_consistent_valid_round_1_2_3_conversation.jsonl",
|
| 227 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/glm4.5/step6_all_rounds/kwai_ocr_count_consistent_valid_round_0_1_2_conversation.jsonl",
|
| 228 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/glm4.5/step6_all_rounds/general_vqa_consistent_valid_round1_2_conversation.jsonl",
|
| 229 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/training_data_v3/step5_conversation_round/high_res_rl_yes_merged_3k_step_step_match_round_1234_conversation.jsonl",
|
| 230 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/training_data_v3/step5_conversation_round/general_yes_consist_consistent_step_rigious_step_match_combined_1_2_3_4_conversation.jsonl",
|
| 231 |
+
"/data_r1v4/data_r1v4/yifan.zhang/Thyme-v2/training_data_v3/step5_conversation_round/wo_think_consist_step_rigious_step_match_round12_conversation.jsonl"
|
| 232 |
+
],
|
| 233 |
+
"val_dataset": [],
|
| 234 |
+
"split_dataset_ratio": 0.0,
|
| 235 |
+
"dataset_num_proc": 1,
|
| 236 |
+
"load_from_cache_file": true,
|
| 237 |
+
"dataset_shuffle": true,
|
| 238 |
+
"val_dataset_shuffle": false,
|
| 239 |
+
"streaming": false,
|
| 240 |
+
"interleave_prob": null,
|
| 241 |
+
"stopping_strategy": "first_exhausted",
|
| 242 |
+
"shuffle_buffer_size": 1000,
|
| 243 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 244 |
+
"columns": {},
|
| 245 |
+
"strict": false,
|
| 246 |
+
"model_name": null,
|
| 247 |
+
"model_author": null,
|
| 248 |
+
"custom_dataset_info": [],
|
| 249 |
+
"quant_method": null,
|
| 250 |
+
"quant_bits": null,
|
| 251 |
+
"hqq_axis": null,
|
| 252 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 253 |
+
"bnb_4bit_quant_type": "nf4",
|
| 254 |
+
"bnb_4bit_use_double_quant": true,
|
| 255 |
+
"bnb_4bit_quant_storage": null,
|
| 256 |
+
"max_new_tokens": 64,
|
| 257 |
+
"temperature": 0.0,
|
| 258 |
+
"top_k": null,
|
| 259 |
+
"top_p": null,
|
| 260 |
+
"repetition_penalty": null,
|
| 261 |
+
"num_beams": 1,
|
| 262 |
+
"stream": false,
|
| 263 |
+
"stop_words": [],
|
| 264 |
+
"logprobs": false,
|
| 265 |
+
"top_logprobs": null,
|
| 266 |
+
"O3": true,
|
| 267 |
+
"ckpt_dir": null,
|
| 268 |
+
"lora_modules": [],
|
| 269 |
+
"train_type": "full",
|
| 270 |
+
"adapters": [],
|
| 271 |
+
"external_plugins": [],
|
| 272 |
+
"model_kwargs": {},
|
| 273 |
+
"load_args": false,
|
| 274 |
+
"load_data_args": false,
|
| 275 |
+
"packing": false,
|
| 276 |
+
"packing_length": null,
|
| 277 |
+
"lazy_tokenize": true,
|
| 278 |
+
"cached_dataset": [],
|
| 279 |
+
"custom_register_path": [],
|
| 280 |
+
"use_hf": false,
|
| 281 |
+
"ignore_args_error": false,
|
| 282 |
+
"use_swift_lora": false,
|
| 283 |
+
"freeze_parameters": [
|
| 284 |
+
"model.visual",
|
| 285 |
+
"model.visual.merger"
|
| 286 |
+
],
|
| 287 |
+
"freeze_parameters_regex": null,
|
| 288 |
+
"freeze_parameters_ratio": 0.0,
|
| 289 |
+
"trainable_parameters": [],
|
| 290 |
+
"trainable_parameters_regex": null,
|
| 291 |
+
"freeze_llm": false,
|
| 292 |
+
"freeze_vit": true,
|
| 293 |
+
"freeze_aligner": true,
|
| 294 |
+
"target_modules": [
|
| 295 |
+
"all-linear"
|
| 296 |
+
],
|
| 297 |
+
"target_regex": null,
|
| 298 |
+
"target_parameters": null,
|
| 299 |
+
"modules_to_save": [],
|
| 300 |
+
"lora_rank": 8,
|
| 301 |
+
"lora_alpha": 32,
|
| 302 |
+
"lora_dropout": 0.05,
|
| 303 |
+
"lora_bias": "none",
|
| 304 |
+
"lora_dtype": null,
|
| 305 |
+
"lorap_lr_ratio": null,
|
| 306 |
+
"use_rslora": false,
|
| 307 |
+
"use_dora": false,
|
| 308 |
+
"lora_ga_batch_size": 2,
|
| 309 |
+
"lora_ga_iters": 2,
|
| 310 |
+
"lora_ga_max_length": 1024,
|
| 311 |
+
"lora_ga_direction": "ArB2r",
|
| 312 |
+
"lora_ga_scale": "stable",
|
| 313 |
+
"lora_ga_stable_gamma": 16,
|
| 314 |
+
"init_weights": true,
|
| 315 |
+
"fourier_n_frequency": 2000,
|
| 316 |
+
"fourier_scaling": 300.0,
|
| 317 |
+
"boft_block_size": 4,
|
| 318 |
+
"boft_block_num": 0,
|
| 319 |
+
"boft_n_butterfly_factor": 1,
|
| 320 |
+
"boft_dropout": 0.0,
|
| 321 |
+
"vera_rank": 256,
|
| 322 |
+
"vera_projection_prng_key": 0,
|
| 323 |
+
"vera_dropout": 0.0,
|
| 324 |
+
"vera_d_initial": 0.1,
|
| 325 |
+
"adapter_act": "gelu",
|
| 326 |
+
"adapter_length": 128,
|
| 327 |
+
"use_galore": false,
|
| 328 |
+
"galore_target_modules": null,
|
| 329 |
+
"galore_rank": 128,
|
| 330 |
+
"galore_update_proj_gap": 50,
|
| 331 |
+
"galore_scale": 1.0,
|
| 332 |
+
"galore_proj_type": "std",
|
| 333 |
+
"galore_optim_per_parameter": false,
|
| 334 |
+
"galore_with_embedding": false,
|
| 335 |
+
"galore_quantization": false,
|
| 336 |
+
"galore_proj_quant": false,
|
| 337 |
+
"galore_proj_bits": 4,
|
| 338 |
+
"galore_proj_group_size": 256,
|
| 339 |
+
"galore_cos_threshold": 0.4,
|
| 340 |
+
"galore_gamma_proj": 2,
|
| 341 |
+
"galore_queue_size": 5,
|
| 342 |
+
"adalora_target_r": 8,
|
| 343 |
+
"adalora_init_r": 12,
|
| 344 |
+
"adalora_tinit": 0,
|
| 345 |
+
"adalora_tfinal": 0,
|
| 346 |
+
"adalora_deltaT": 1,
|
| 347 |
+
"adalora_beta1": 0.85,
|
| 348 |
+
"adalora_beta2": 0.85,
|
| 349 |
+
"adalora_orth_reg_weight": 0.5,
|
| 350 |
+
"llamapro_num_new_blocks": 4,
|
| 351 |
+
"llamapro_num_groups": null,
|
| 352 |
+
"lisa_activated_layers": 0,
|
| 353 |
+
"lisa_step_interval": 20,
|
| 354 |
+
"reft_layer_key": null,
|
| 355 |
+
"reft_layers": null,
|
| 356 |
+
"reft_rank": 4,
|
| 357 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 358 |
+
"reft_args": null,
|
| 359 |
+
"swanlab_token": null,
|
| 360 |
+
"swanlab_project": null,
|
| 361 |
+
"swanlab_workspace": null,
|
| 362 |
+
"swanlab_exp_name": null,
|
| 363 |
+
"swanlab_lark_webhook_url": null,
|
| 364 |
+
"swanlab_lark_secret": null,
|
| 365 |
+
"swanlab_mode": "cloud",
|
| 366 |
+
"add_version": true,
|
| 367 |
+
"create_checkpoint_symlink": false,
|
| 368 |
+
"zero_hpz_partition_size": null,
|
| 369 |
+
"deepspeed_autotp_size": null,
|
| 370 |
+
"early_stop_interval": null,
|
| 371 |
+
"rank": 0,
|
| 372 |
+
"global_world_size": 64,
|
| 373 |
+
"local_world_size": 8,
|
| 374 |
+
"model_suffix": "Qwen2.5-VL-7B-Instruct",
|
| 375 |
+
"model_info": "ModelInfo(model_type='qwen2_5_vl', model_dir='/data_genie/genie/yfzhang/models/Qwen2.5-VL-7B-Instruct', torch_dtype=torch.bfloat16, max_model_len=128000, quant_method=None, quant_bits=None, rope_scaling={'type': 'default', 'mrope_section': [16, 24, 24], 'rope_type': 'default'}, is_moe_model=False, config=None, task_type='causal_lm', num_labels=None)",
|
| 376 |
+
"model_meta": "ModelMeta(model_type='qwen2_5_vl', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5_vl', get_function=<function get_model_tokenizer_qwen2_5_vl at 0x7fe91d124cc0>, 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=None, 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'], aligner=['model.visual.merger'], vision_tower=['model.visual'], generator=[]), architectures=['Qwen2_5_VLForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.49', 'qwen_vl_utils>=0.0.6', 'decord'], tags=['vision', 'video'])",
|
| 377 |
+
"model_dir": "/data_genie/genie/yfzhang/models/Qwen2.5-VL-7B-Instruct",
|
| 378 |
+
"hub": "<class 'swift.hub.hub.MSHub'>",
|
| 379 |
+
"evaluation_strategy": "epoch",
|
| 380 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=2, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=1e-05, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=5.0, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs=None, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.EPOCH: 'epoch'>, save_steps=500, save_total_limit=5, save_safetensors=True, save_on_each_node=False, save_only_model=True, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=None, dataloader_num_workers=4, dataloader_prefetch_factor=10, past_index=-1, run_name='/data_r1v4/data_r1v4/yifan.zhang/models/GLM_kwai_all_general_12_claude_general_high_res_wothink12/v1-20250915-132509', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=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), 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': 2, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'allgather_partitions': True, 'allgather_bucket_size': 200000000.0, 'overlap_comm': False, 'reduce_scatter': True, 'reduce_bucket_size': 200000000.0, 'contiguous_gradients': 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}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['wandb'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, hub_revision=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=18000000, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type=None, metric=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, use_flash_ckpt=False, sft_alpha=0, train_type='full', local_repo_path=None, galore_config=None)"
|
| 381 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
|
| 2 |
+
You are a helpful assistant.<|im_end|>
|
| 3 |
+
{% endif %}<|im_start|>{{ message['role'] }}
|
| 4 |
+
{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
|
| 5 |
+
{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
|
| 6 |
+
{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
|
| 7 |
+
{% endif %}
|
config.json
ADDED
|
@@ -0,0 +1,138 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"image_token_id": 151655,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"max_position_embeddings": 128000,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2_5_vl",
|
| 16 |
+
"num_attention_heads": 28,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"pad_token_id": 151643,
|
| 20 |
+
"rms_norm_eps": 1e-06,
|
| 21 |
+
"rope_scaling": {
|
| 22 |
+
"mrope_section": [
|
| 23 |
+
16,
|
| 24 |
+
24,
|
| 25 |
+
24
|
| 26 |
+
],
|
| 27 |
+
"rope_type": "default",
|
| 28 |
+
"type": "default"
|
| 29 |
+
},
|
| 30 |
+
"rope_theta": 1000000.0,
|
| 31 |
+
"sliding_window": 32768,
|
| 32 |
+
"text_config": {
|
| 33 |
+
"architectures": [
|
| 34 |
+
"Qwen2_5_VLForConditionalGeneration"
|
| 35 |
+
],
|
| 36 |
+
"attention_dropout": 0.0,
|
| 37 |
+
"bos_token_id": 151643,
|
| 38 |
+
"eos_token_id": 151645,
|
| 39 |
+
"hidden_act": "silu",
|
| 40 |
+
"hidden_size": 3584,
|
| 41 |
+
"image_token_id": null,
|
| 42 |
+
"initializer_range": 0.02,
|
| 43 |
+
"intermediate_size": 18944,
|
| 44 |
+
"layer_types": [
|
| 45 |
+
"full_attention",
|
| 46 |
+
"full_attention",
|
| 47 |
+
"full_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"full_attention",
|
| 50 |
+
"full_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"full_attention",
|
| 53 |
+
"full_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"full_attention",
|
| 56 |
+
"full_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"full_attention",
|
| 59 |
+
"full_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"full_attention",
|
| 62 |
+
"full_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"full_attention",
|
| 65 |
+
"full_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"full_attention",
|
| 68 |
+
"full_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"full_attention",
|
| 71 |
+
"full_attention",
|
| 72 |
+
"full_attention"
|
| 73 |
+
],
|
| 74 |
+
"max_position_embeddings": 128000,
|
| 75 |
+
"max_window_layers": 28,
|
| 76 |
+
"model_type": "qwen2_5_vl_text",
|
| 77 |
+
"num_attention_heads": 28,
|
| 78 |
+
"num_hidden_layers": 28,
|
| 79 |
+
"num_key_value_heads": 4,
|
| 80 |
+
"pad_token_id": 151643,
|
| 81 |
+
"rms_norm_eps": 1e-06,
|
| 82 |
+
"rope_scaling": {
|
| 83 |
+
"mrope_section": [
|
| 84 |
+
16,
|
| 85 |
+
24,
|
| 86 |
+
24
|
| 87 |
+
],
|
| 88 |
+
"rope_type": "default",
|
| 89 |
+
"type": "default"
|
| 90 |
+
},
|
| 91 |
+
"rope_theta": 1000000.0,
|
| 92 |
+
"sliding_window": null,
|
| 93 |
+
"torch_dtype": "bfloat16",
|
| 94 |
+
"use_cache": false,
|
| 95 |
+
"use_sliding_window": false,
|
| 96 |
+
"video_token_id": null,
|
| 97 |
+
"vision_end_token_id": 151653,
|
| 98 |
+
"vision_start_token_id": 151652,
|
| 99 |
+
"vision_token_id": 151654,
|
| 100 |
+
"vocab_size": 152064
|
| 101 |
+
},
|
| 102 |
+
"tie_word_embeddings": false,
|
| 103 |
+
"torch_dtype": "bfloat16",
|
| 104 |
+
"transformers_version": "4.55.4",
|
| 105 |
+
"use_cache": false,
|
| 106 |
+
"use_sliding_window": false,
|
| 107 |
+
"video_token_id": 151656,
|
| 108 |
+
"vision_config": {
|
| 109 |
+
"depth": 32,
|
| 110 |
+
"fullatt_block_indexes": [
|
| 111 |
+
7,
|
| 112 |
+
15,
|
| 113 |
+
23,
|
| 114 |
+
31
|
| 115 |
+
],
|
| 116 |
+
"hidden_act": "silu",
|
| 117 |
+
"hidden_size": 1280,
|
| 118 |
+
"in_channels": 3,
|
| 119 |
+
"in_chans": 3,
|
| 120 |
+
"initializer_range": 0.02,
|
| 121 |
+
"intermediate_size": 3420,
|
| 122 |
+
"model_type": "qwen2_5_vl",
|
| 123 |
+
"num_heads": 16,
|
| 124 |
+
"out_hidden_size": 3584,
|
| 125 |
+
"pad_token_id": 151643,
|
| 126 |
+
"patch_size": 14,
|
| 127 |
+
"spatial_merge_size": 2,
|
| 128 |
+
"spatial_patch_size": 14,
|
| 129 |
+
"temporal_patch_size": 2,
|
| 130 |
+
"tokens_per_second": 2,
|
| 131 |
+
"torch_dtype": "bfloat16",
|
| 132 |
+
"window_size": 112
|
| 133 |
+
},
|
| 134 |
+
"vision_end_token_id": 151653,
|
| 135 |
+
"vision_start_token_id": 151652,
|
| 136 |
+
"vision_token_id": 151654,
|
| 137 |
+
"vocab_size": 152064
|
| 138 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"repetition_penalty": 1.05,
|
| 10 |
+
"temperature": 1e-06,
|
| 11 |
+
"transformers_version": "4.55.4"
|
| 12 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ae322f6e5ba25b2826723db5409d8bbcacfaa8714088a45807a7d5a6db2be18
|
| 3 |
+
size 4968243304
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4521812e307ebd2ebd22aed7e7ae57177b0d745b6a82652433e2a5e13e9c50b9
|
| 3 |
+
size 4991495816
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2ea67ccfc5c3d1c63fe998fe8679659563325596c64d7ab4f157f224a44700e
|
| 3 |
+
size 4932751040
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d181e953e984acb44e5ffcfe324768238f40e055f717244bf66d4bdabb89b691
|
| 3 |
+
size 1691924384
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,737 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 8292166656,
|
| 4 |
+
"total_size": 16584333312
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 8 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 117 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 128 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 131 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 153 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 154 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 155 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 156 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 157 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 164 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 165 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 239 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00004-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00004-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00004-of-00004.safetensors",
|
| 260 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 261 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 285 |
+
"model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 287 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 288 |
+
"model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 296 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 297 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 308 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 320 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 332 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 333 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 334 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 335 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 336 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 337 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 344 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 345 |
+
"model.norm.weight": "model-00004-of-00004.safetensors",
|
| 346 |
+
"visual.blocks.0.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 347 |
+
"visual.blocks.0.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 348 |
+
"visual.blocks.0.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 349 |
+
"visual.blocks.0.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 350 |
+
"visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 351 |
+
"visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 352 |
+
"visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 353 |
+
"visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 354 |
+
"visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 355 |
+
"visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 356 |
+
"visual.blocks.0.norm1.weight": "model-00001-of-00004.safetensors",
|
| 357 |
+
"visual.blocks.0.norm2.weight": "model-00001-of-00004.safetensors",
|
| 358 |
+
"visual.blocks.1.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 359 |
+
"visual.blocks.1.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 360 |
+
"visual.blocks.1.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 361 |
+
"visual.blocks.1.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 362 |
+
"visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 363 |
+
"visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 364 |
+
"visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 365 |
+
"visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 366 |
+
"visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 367 |
+
"visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 368 |
+
"visual.blocks.1.norm1.weight": "model-00001-of-00004.safetensors",
|
| 369 |
+
"visual.blocks.1.norm2.weight": "model-00001-of-00004.safetensors",
|
| 370 |
+
"visual.blocks.10.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 371 |
+
"visual.blocks.10.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 372 |
+
"visual.blocks.10.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 373 |
+
"visual.blocks.10.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 374 |
+
"visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 375 |
+
"visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 376 |
+
"visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 377 |
+
"visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 378 |
+
"visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 379 |
+
"visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 380 |
+
"visual.blocks.10.norm1.weight": "model-00001-of-00004.safetensors",
|
| 381 |
+
"visual.blocks.10.norm2.weight": "model-00001-of-00004.safetensors",
|
| 382 |
+
"visual.blocks.11.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 383 |
+
"visual.blocks.11.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 384 |
+
"visual.blocks.11.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 385 |
+
"visual.blocks.11.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 386 |
+
"visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 387 |
+
"visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 388 |
+
"visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 389 |
+
"visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 390 |
+
"visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 391 |
+
"visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 392 |
+
"visual.blocks.11.norm1.weight": "model-00001-of-00004.safetensors",
|
| 393 |
+
"visual.blocks.11.norm2.weight": "model-00001-of-00004.safetensors",
|
| 394 |
+
"visual.blocks.12.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 395 |
+
"visual.blocks.12.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 396 |
+
"visual.blocks.12.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 397 |
+
"visual.blocks.12.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 398 |
+
"visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 399 |
+
"visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 400 |
+
"visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 401 |
+
"visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 402 |
+
"visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 403 |
+
"visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 404 |
+
"visual.blocks.12.norm1.weight": "model-00001-of-00004.safetensors",
|
| 405 |
+
"visual.blocks.12.norm2.weight": "model-00001-of-00004.safetensors",
|
| 406 |
+
"visual.blocks.13.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 407 |
+
"visual.blocks.13.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 408 |
+
"visual.blocks.13.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 409 |
+
"visual.blocks.13.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 410 |
+
"visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 411 |
+
"visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 412 |
+
"visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 413 |
+
"visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 414 |
+
"visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 415 |
+
"visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 416 |
+
"visual.blocks.13.norm1.weight": "model-00001-of-00004.safetensors",
|
| 417 |
+
"visual.blocks.13.norm2.weight": "model-00001-of-00004.safetensors",
|
| 418 |
+
"visual.blocks.14.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 419 |
+
"visual.blocks.14.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 420 |
+
"visual.blocks.14.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 421 |
+
"visual.blocks.14.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 422 |
+
"visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 423 |
+
"visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 424 |
+
"visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 425 |
+
"visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 426 |
+
"visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 427 |
+
"visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 428 |
+
"visual.blocks.14.norm1.weight": "model-00001-of-00004.safetensors",
|
| 429 |
+
"visual.blocks.14.norm2.weight": "model-00001-of-00004.safetensors",
|
| 430 |
+
"visual.blocks.15.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 431 |
+
"visual.blocks.15.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 432 |
+
"visual.blocks.15.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 433 |
+
"visual.blocks.15.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 434 |
+
"visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 435 |
+
"visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 436 |
+
"visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 437 |
+
"visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 438 |
+
"visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 439 |
+
"visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 440 |
+
"visual.blocks.15.norm1.weight": "model-00001-of-00004.safetensors",
|
| 441 |
+
"visual.blocks.15.norm2.weight": "model-00001-of-00004.safetensors",
|
| 442 |
+
"visual.blocks.16.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 443 |
+
"visual.blocks.16.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 444 |
+
"visual.blocks.16.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 445 |
+
"visual.blocks.16.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 446 |
+
"visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 447 |
+
"visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 448 |
+
"visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 449 |
+
"visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 450 |
+
"visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 451 |
+
"visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 452 |
+
"visual.blocks.16.norm1.weight": "model-00001-of-00004.safetensors",
|
| 453 |
+
"visual.blocks.16.norm2.weight": "model-00001-of-00004.safetensors",
|
| 454 |
+
"visual.blocks.17.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 455 |
+
"visual.blocks.17.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 456 |
+
"visual.blocks.17.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 457 |
+
"visual.blocks.17.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 458 |
+
"visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 459 |
+
"visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 460 |
+
"visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 461 |
+
"visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 462 |
+
"visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 463 |
+
"visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 464 |
+
"visual.blocks.17.norm1.weight": "model-00001-of-00004.safetensors",
|
| 465 |
+
"visual.blocks.17.norm2.weight": "model-00001-of-00004.safetensors",
|
| 466 |
+
"visual.blocks.18.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 467 |
+
"visual.blocks.18.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 468 |
+
"visual.blocks.18.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 469 |
+
"visual.blocks.18.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 470 |
+
"visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 471 |
+
"visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 472 |
+
"visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 473 |
+
"visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 474 |
+
"visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 475 |
+
"visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 476 |
+
"visual.blocks.18.norm1.weight": "model-00001-of-00004.safetensors",
|
| 477 |
+
"visual.blocks.18.norm2.weight": "model-00001-of-00004.safetensors",
|
| 478 |
+
"visual.blocks.19.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 479 |
+
"visual.blocks.19.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 480 |
+
"visual.blocks.19.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 481 |
+
"visual.blocks.19.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 482 |
+
"visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 483 |
+
"visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 484 |
+
"visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 485 |
+
"visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 486 |
+
"visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 487 |
+
"visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 488 |
+
"visual.blocks.19.norm1.weight": "model-00001-of-00004.safetensors",
|
| 489 |
+
"visual.blocks.19.norm2.weight": "model-00001-of-00004.safetensors",
|
| 490 |
+
"visual.blocks.2.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 491 |
+
"visual.blocks.2.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 492 |
+
"visual.blocks.2.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 493 |
+
"visual.blocks.2.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 494 |
+
"visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 495 |
+
"visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 496 |
+
"visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 497 |
+
"visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 498 |
+
"visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 499 |
+
"visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 500 |
+
"visual.blocks.2.norm1.weight": "model-00001-of-00004.safetensors",
|
| 501 |
+
"visual.blocks.2.norm2.weight": "model-00001-of-00004.safetensors",
|
| 502 |
+
"visual.blocks.20.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 503 |
+
"visual.blocks.20.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 504 |
+
"visual.blocks.20.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 505 |
+
"visual.blocks.20.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 506 |
+
"visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 507 |
+
"visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 508 |
+
"visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 509 |
+
"visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 510 |
+
"visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 511 |
+
"visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 512 |
+
"visual.blocks.20.norm1.weight": "model-00001-of-00004.safetensors",
|
| 513 |
+
"visual.blocks.20.norm2.weight": "model-00001-of-00004.safetensors",
|
| 514 |
+
"visual.blocks.21.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 515 |
+
"visual.blocks.21.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 516 |
+
"visual.blocks.21.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 517 |
+
"visual.blocks.21.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 518 |
+
"visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 519 |
+
"visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 520 |
+
"visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 521 |
+
"visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 522 |
+
"visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 523 |
+
"visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 524 |
+
"visual.blocks.21.norm1.weight": "model-00001-of-00004.safetensors",
|
| 525 |
+
"visual.blocks.21.norm2.weight": "model-00001-of-00004.safetensors",
|
| 526 |
+
"visual.blocks.22.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 527 |
+
"visual.blocks.22.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 528 |
+
"visual.blocks.22.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 529 |
+
"visual.blocks.22.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 530 |
+
"visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 531 |
+
"visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 532 |
+
"visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 533 |
+
"visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 534 |
+
"visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 535 |
+
"visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 536 |
+
"visual.blocks.22.norm1.weight": "model-00001-of-00004.safetensors",
|
| 537 |
+
"visual.blocks.22.norm2.weight": "model-00001-of-00004.safetensors",
|
| 538 |
+
"visual.blocks.23.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 539 |
+
"visual.blocks.23.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 540 |
+
"visual.blocks.23.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 541 |
+
"visual.blocks.23.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 542 |
+
"visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 543 |
+
"visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 544 |
+
"visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 545 |
+
"visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 546 |
+
"visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 547 |
+
"visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 548 |
+
"visual.blocks.23.norm1.weight": "model-00001-of-00004.safetensors",
|
| 549 |
+
"visual.blocks.23.norm2.weight": "model-00001-of-00004.safetensors",
|
| 550 |
+
"visual.blocks.24.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 551 |
+
"visual.blocks.24.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 552 |
+
"visual.blocks.24.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 553 |
+
"visual.blocks.24.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 554 |
+
"visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 555 |
+
"visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 556 |
+
"visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 557 |
+
"visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 558 |
+
"visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 559 |
+
"visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 560 |
+
"visual.blocks.24.norm1.weight": "model-00001-of-00004.safetensors",
|
| 561 |
+
"visual.blocks.24.norm2.weight": "model-00001-of-00004.safetensors",
|
| 562 |
+
"visual.blocks.25.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 563 |
+
"visual.blocks.25.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 564 |
+
"visual.blocks.25.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 565 |
+
"visual.blocks.25.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 566 |
+
"visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 567 |
+
"visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 568 |
+
"visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 569 |
+
"visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 570 |
+
"visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 571 |
+
"visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 572 |
+
"visual.blocks.25.norm1.weight": "model-00001-of-00004.safetensors",
|
| 573 |
+
"visual.blocks.25.norm2.weight": "model-00001-of-00004.safetensors",
|
| 574 |
+
"visual.blocks.26.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 575 |
+
"visual.blocks.26.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 576 |
+
"visual.blocks.26.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 577 |
+
"visual.blocks.26.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 578 |
+
"visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 579 |
+
"visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 580 |
+
"visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 581 |
+
"visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 582 |
+
"visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 583 |
+
"visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 584 |
+
"visual.blocks.26.norm1.weight": "model-00001-of-00004.safetensors",
|
| 585 |
+
"visual.blocks.26.norm2.weight": "model-00001-of-00004.safetensors",
|
| 586 |
+
"visual.blocks.27.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 587 |
+
"visual.blocks.27.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 588 |
+
"visual.blocks.27.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 589 |
+
"visual.blocks.27.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 590 |
+
"visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 591 |
+
"visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 592 |
+
"visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 593 |
+
"visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 594 |
+
"visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 595 |
+
"visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 596 |
+
"visual.blocks.27.norm1.weight": "model-00001-of-00004.safetensors",
|
| 597 |
+
"visual.blocks.27.norm2.weight": "model-00001-of-00004.safetensors",
|
| 598 |
+
"visual.blocks.28.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 599 |
+
"visual.blocks.28.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 600 |
+
"visual.blocks.28.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 601 |
+
"visual.blocks.28.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 602 |
+
"visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 603 |
+
"visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 604 |
+
"visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 605 |
+
"visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 606 |
+
"visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 607 |
+
"visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 608 |
+
"visual.blocks.28.norm1.weight": "model-00001-of-00004.safetensors",
|
| 609 |
+
"visual.blocks.28.norm2.weight": "model-00001-of-00004.safetensors",
|
| 610 |
+
"visual.blocks.29.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 611 |
+
"visual.blocks.29.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 612 |
+
"visual.blocks.29.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 613 |
+
"visual.blocks.29.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 614 |
+
"visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 615 |
+
"visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 616 |
+
"visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 617 |
+
"visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 618 |
+
"visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 619 |
+
"visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 620 |
+
"visual.blocks.29.norm1.weight": "model-00001-of-00004.safetensors",
|
| 621 |
+
"visual.blocks.29.norm2.weight": "model-00001-of-00004.safetensors",
|
| 622 |
+
"visual.blocks.3.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 623 |
+
"visual.blocks.3.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 624 |
+
"visual.blocks.3.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 625 |
+
"visual.blocks.3.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 626 |
+
"visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 627 |
+
"visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 628 |
+
"visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 629 |
+
"visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 630 |
+
"visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 631 |
+
"visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 632 |
+
"visual.blocks.3.norm1.weight": "model-00001-of-00004.safetensors",
|
| 633 |
+
"visual.blocks.3.norm2.weight": "model-00001-of-00004.safetensors",
|
| 634 |
+
"visual.blocks.30.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 635 |
+
"visual.blocks.30.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 636 |
+
"visual.blocks.30.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 637 |
+
"visual.blocks.30.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 638 |
+
"visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 639 |
+
"visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 640 |
+
"visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 641 |
+
"visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 642 |
+
"visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 643 |
+
"visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 644 |
+
"visual.blocks.30.norm1.weight": "model-00001-of-00004.safetensors",
|
| 645 |
+
"visual.blocks.30.norm2.weight": "model-00001-of-00004.safetensors",
|
| 646 |
+
"visual.blocks.31.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 647 |
+
"visual.blocks.31.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 648 |
+
"visual.blocks.31.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 649 |
+
"visual.blocks.31.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 650 |
+
"visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 651 |
+
"visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 652 |
+
"visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 653 |
+
"visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 654 |
+
"visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 655 |
+
"visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 656 |
+
"visual.blocks.31.norm1.weight": "model-00001-of-00004.safetensors",
|
| 657 |
+
"visual.blocks.31.norm2.weight": "model-00001-of-00004.safetensors",
|
| 658 |
+
"visual.blocks.4.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 659 |
+
"visual.blocks.4.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 660 |
+
"visual.blocks.4.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 661 |
+
"visual.blocks.4.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 662 |
+
"visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 663 |
+
"visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 664 |
+
"visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 665 |
+
"visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 666 |
+
"visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 667 |
+
"visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 668 |
+
"visual.blocks.4.norm1.weight": "model-00001-of-00004.safetensors",
|
| 669 |
+
"visual.blocks.4.norm2.weight": "model-00001-of-00004.safetensors",
|
| 670 |
+
"visual.blocks.5.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 671 |
+
"visual.blocks.5.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 672 |
+
"visual.blocks.5.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 673 |
+
"visual.blocks.5.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 674 |
+
"visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 675 |
+
"visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 676 |
+
"visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 677 |
+
"visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 678 |
+
"visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 679 |
+
"visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 680 |
+
"visual.blocks.5.norm1.weight": "model-00001-of-00004.safetensors",
|
| 681 |
+
"visual.blocks.5.norm2.weight": "model-00001-of-00004.safetensors",
|
| 682 |
+
"visual.blocks.6.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 683 |
+
"visual.blocks.6.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 684 |
+
"visual.blocks.6.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 685 |
+
"visual.blocks.6.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 686 |
+
"visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 687 |
+
"visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 688 |
+
"visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 689 |
+
"visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 690 |
+
"visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 691 |
+
"visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 692 |
+
"visual.blocks.6.norm1.weight": "model-00001-of-00004.safetensors",
|
| 693 |
+
"visual.blocks.6.norm2.weight": "model-00001-of-00004.safetensors",
|
| 694 |
+
"visual.blocks.7.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 695 |
+
"visual.blocks.7.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 696 |
+
"visual.blocks.7.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 697 |
+
"visual.blocks.7.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 698 |
+
"visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 699 |
+
"visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 700 |
+
"visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 701 |
+
"visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 702 |
+
"visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 703 |
+
"visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 704 |
+
"visual.blocks.7.norm1.weight": "model-00001-of-00004.safetensors",
|
| 705 |
+
"visual.blocks.7.norm2.weight": "model-00001-of-00004.safetensors",
|
| 706 |
+
"visual.blocks.8.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 707 |
+
"visual.blocks.8.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 708 |
+
"visual.blocks.8.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 709 |
+
"visual.blocks.8.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 710 |
+
"visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 711 |
+
"visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 712 |
+
"visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 713 |
+
"visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 714 |
+
"visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 715 |
+
"visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 716 |
+
"visual.blocks.8.norm1.weight": "model-00001-of-00004.safetensors",
|
| 717 |
+
"visual.blocks.8.norm2.weight": "model-00001-of-00004.safetensors",
|
| 718 |
+
"visual.blocks.9.attn.proj.bias": "model-00001-of-00004.safetensors",
|
| 719 |
+
"visual.blocks.9.attn.proj.weight": "model-00001-of-00004.safetensors",
|
| 720 |
+
"visual.blocks.9.attn.qkv.bias": "model-00001-of-00004.safetensors",
|
| 721 |
+
"visual.blocks.9.attn.qkv.weight": "model-00001-of-00004.safetensors",
|
| 722 |
+
"visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00004.safetensors",
|
| 723 |
+
"visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 724 |
+
"visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00004.safetensors",
|
| 725 |
+
"visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 726 |
+
"visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00004.safetensors",
|
| 727 |
+
"visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 728 |
+
"visual.blocks.9.norm1.weight": "model-00001-of-00004.safetensors",
|
| 729 |
+
"visual.blocks.9.norm2.weight": "model-00001-of-00004.safetensors",
|
| 730 |
+
"visual.merger.ln_q.weight": "model-00001-of-00004.safetensors",
|
| 731 |
+
"visual.merger.mlp.0.bias": "model-00001-of-00004.safetensors",
|
| 732 |
+
"visual.merger.mlp.0.weight": "model-00001-of-00004.safetensors",
|
| 733 |
+
"visual.merger.mlp.2.bias": "model-00001-of-00004.safetensors",
|
| 734 |
+
"visual.merger.mlp.2.weight": "model-00001-of-00004.safetensors",
|
| 735 |
+
"visual.patch_embed.proj.weight": "model-00001-of-00004.safetensors"
|
| 736 |
+
}
|
| 737 |
+
}
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"min_pixels": 3136,
|
| 3 |
+
"max_pixels": 12845056,
|
| 4 |
+
"patch_size": 14,
|
| 5 |
+
"temporal_patch_size": 2,
|
| 6 |
+
"merge_size": 2,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.48145466,
|
| 9 |
+
0.4578275,
|
| 10 |
+
0.40821073
|
| 11 |
+
],
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 18 |
+
"processor_class": "Qwen2_5_VLProcessor"
|
| 19 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"clean_up_tokenization_spaces": false,
|
| 199 |
+
"eos_token": "<|im_end|>",
|
| 200 |
+
"errors": "replace",
|
| 201 |
+
"extra_special_tokens": {},
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2266 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 4.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1392,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0028735632183908046,
|
| 14 |
+
"grad_norm": 5.701423168182373,
|
| 15 |
+
"learning_rate": 1.1494252873563219e-07,
|
| 16 |
+
"loss": 0.8435418605804443,
|
| 17 |
+
"step": 1,
|
| 18 |
+
"token_acc": 0.7668058813433263
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 0.014367816091954023,
|
| 22 |
+
"grad_norm": 5.826282024383545,
|
| 23 |
+
"learning_rate": 5.747126436781609e-07,
|
| 24 |
+
"loss": 0.8689357042312622,
|
| 25 |
+
"step": 5,
|
| 26 |
+
"token_acc": 0.7603826289524434
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.028735632183908046,
|
| 30 |
+
"grad_norm": 4.886495113372803,
|
| 31 |
+
"learning_rate": 1.1494252873563219e-06,
|
| 32 |
+
"loss": 0.8401691436767578,
|
| 33 |
+
"step": 10,
|
| 34 |
+
"token_acc": 0.7658241045363977
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"epoch": 0.04310344827586207,
|
| 38 |
+
"grad_norm": 4.146583080291748,
|
| 39 |
+
"learning_rate": 1.724137931034483e-06,
|
| 40 |
+
"loss": 0.7563614845275879,
|
| 41 |
+
"step": 15,
|
| 42 |
+
"token_acc": 0.7847171788125201
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 0.05747126436781609,
|
| 46 |
+
"grad_norm": 2.6654443740844727,
|
| 47 |
+
"learning_rate": 2.2988505747126437e-06,
|
| 48 |
+
"loss": 0.6338841438293457,
|
| 49 |
+
"step": 20,
|
| 50 |
+
"token_acc": 0.8138928795337552
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.07183908045977011,
|
| 54 |
+
"grad_norm": 1.9812933206558228,
|
| 55 |
+
"learning_rate": 2.8735632183908046e-06,
|
| 56 |
+
"loss": 0.5337696552276612,
|
| 57 |
+
"step": 25,
|
| 58 |
+
"token_acc": 0.8382339431104374
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.08620689655172414,
|
| 62 |
+
"grad_norm": 1.5043323040008545,
|
| 63 |
+
"learning_rate": 3.448275862068966e-06,
|
| 64 |
+
"loss": 0.4845158576965332,
|
| 65 |
+
"step": 30,
|
| 66 |
+
"token_acc": 0.8492833589736979
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.10057471264367816,
|
| 70 |
+
"grad_norm": 1.1498295068740845,
|
| 71 |
+
"learning_rate": 4.022988505747127e-06,
|
| 72 |
+
"loss": 0.43697123527526854,
|
| 73 |
+
"step": 35,
|
| 74 |
+
"token_acc": 0.8614095803431342
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.11494252873563218,
|
| 78 |
+
"grad_norm": 0.9884876608848572,
|
| 79 |
+
"learning_rate": 4.5977011494252875e-06,
|
| 80 |
+
"loss": 0.40511465072631836,
|
| 81 |
+
"step": 40,
|
| 82 |
+
"token_acc": 0.8688861103314138
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.12931034482758622,
|
| 86 |
+
"grad_norm": 0.9158347249031067,
|
| 87 |
+
"learning_rate": 5.172413793103449e-06,
|
| 88 |
+
"loss": 0.3865834951400757,
|
| 89 |
+
"step": 45,
|
| 90 |
+
"token_acc": 0.8749345692154775
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.14367816091954022,
|
| 94 |
+
"grad_norm": 0.8680062890052795,
|
| 95 |
+
"learning_rate": 5.747126436781609e-06,
|
| 96 |
+
"loss": 0.3814691543579102,
|
| 97 |
+
"step": 50,
|
| 98 |
+
"token_acc": 0.8764696489650478
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.15804597701149425,
|
| 102 |
+
"grad_norm": 0.8912498950958252,
|
| 103 |
+
"learning_rate": 6.321839080459771e-06,
|
| 104 |
+
"loss": 0.3704723358154297,
|
| 105 |
+
"step": 55,
|
| 106 |
+
"token_acc": 0.8794568983805955
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.1724137931034483,
|
| 110 |
+
"grad_norm": 0.8006322383880615,
|
| 111 |
+
"learning_rate": 6.896551724137932e-06,
|
| 112 |
+
"loss": 0.36577649116516114,
|
| 113 |
+
"step": 60,
|
| 114 |
+
"token_acc": 0.880862038046495
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.1867816091954023,
|
| 118 |
+
"grad_norm": 0.8191452622413635,
|
| 119 |
+
"learning_rate": 7.4712643678160925e-06,
|
| 120 |
+
"loss": 0.3519172430038452,
|
| 121 |
+
"step": 65,
|
| 122 |
+
"token_acc": 0.8835096940130558
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.20114942528735633,
|
| 126 |
+
"grad_norm": 0.8475598096847534,
|
| 127 |
+
"learning_rate": 8.045977011494253e-06,
|
| 128 |
+
"loss": 0.3494016170501709,
|
| 129 |
+
"step": 70,
|
| 130 |
+
"token_acc": 0.8846583471507112
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.21551724137931033,
|
| 134 |
+
"grad_norm": 0.8054814338684082,
|
| 135 |
+
"learning_rate": 8.620689655172414e-06,
|
| 136 |
+
"loss": 0.33314008712768556,
|
| 137 |
+
"step": 75,
|
| 138 |
+
"token_acc": 0.8894680986543279
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 0.22988505747126436,
|
| 142 |
+
"grad_norm": 0.8506744503974915,
|
| 143 |
+
"learning_rate": 9.195402298850575e-06,
|
| 144 |
+
"loss": 0.3356497764587402,
|
| 145 |
+
"step": 80,
|
| 146 |
+
"token_acc": 0.8887663199854837
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.2442528735632184,
|
| 150 |
+
"grad_norm": 0.9287813901901245,
|
| 151 |
+
"learning_rate": 9.770114942528738e-06,
|
| 152 |
+
"loss": 0.34115211963653563,
|
| 153 |
+
"step": 85,
|
| 154 |
+
"token_acc": 0.8870185172342049
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.25862068965517243,
|
| 158 |
+
"grad_norm": 0.803466260433197,
|
| 159 |
+
"learning_rate": 9.999918729041869e-06,
|
| 160 |
+
"loss": 0.32897319793701174,
|
| 161 |
+
"step": 90,
|
| 162 |
+
"token_acc": 0.8905416444262261
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.27298850574712646,
|
| 166 |
+
"grad_norm": 0.8131177425384521,
|
| 167 |
+
"learning_rate": 9.999422082754275e-06,
|
| 168 |
+
"loss": 0.34308557510375975,
|
| 169 |
+
"step": 95,
|
| 170 |
+
"token_acc": 0.8873970478126003
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.28735632183908044,
|
| 174 |
+
"grad_norm": 0.7532012462615967,
|
| 175 |
+
"learning_rate": 9.998473985504493e-06,
|
| 176 |
+
"loss": 0.32273378372192385,
|
| 177 |
+
"step": 100,
|
| 178 |
+
"token_acc": 0.8920797660374831
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.3017241379310345,
|
| 182 |
+
"grad_norm": 0.827369749546051,
|
| 183 |
+
"learning_rate": 9.9970745229063e-06,
|
| 184 |
+
"loss": 0.31739416122436526,
|
| 185 |
+
"step": 105,
|
| 186 |
+
"token_acc": 0.8942937324602432
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.3160919540229885,
|
| 190 |
+
"grad_norm": 0.839455783367157,
|
| 191 |
+
"learning_rate": 9.995223821332053e-06,
|
| 192 |
+
"loss": 0.30788021087646483,
|
| 193 |
+
"step": 110,
|
| 194 |
+
"token_acc": 0.8955595489385134
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.33045977011494254,
|
| 198 |
+
"grad_norm": 0.8043475151062012,
|
| 199 |
+
"learning_rate": 9.992922047901269e-06,
|
| 200 |
+
"loss": 0.3212079286575317,
|
| 201 |
+
"step": 115,
|
| 202 |
+
"token_acc": 0.8932447774433532
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.3448275862068966,
|
| 206 |
+
"grad_norm": 0.7365073561668396,
|
| 207 |
+
"learning_rate": 9.990169410465537e-06,
|
| 208 |
+
"loss": 0.326586389541626,
|
| 209 |
+
"step": 120,
|
| 210 |
+
"token_acc": 0.8911639743666266
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.35919540229885055,
|
| 214 |
+
"grad_norm": 0.7726923227310181,
|
| 215 |
+
"learning_rate": 9.986966157589751e-06,
|
| 216 |
+
"loss": 0.3208265781402588,
|
| 217 |
+
"step": 125,
|
| 218 |
+
"token_acc": 0.8929274689605703
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.3735632183908046,
|
| 222 |
+
"grad_norm": 0.7451789975166321,
|
| 223 |
+
"learning_rate": 9.983312578529662e-06,
|
| 224 |
+
"loss": 0.30309247970581055,
|
| 225 |
+
"step": 130,
|
| 226 |
+
"token_acc": 0.8975737660451567
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.3879310344827586,
|
| 230 |
+
"grad_norm": 0.7862595915794373,
|
| 231 |
+
"learning_rate": 9.979209003205761e-06,
|
| 232 |
+
"loss": 0.31304683685302737,
|
| 233 |
+
"step": 135,
|
| 234 |
+
"token_acc": 0.8953799106225167
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.40229885057471265,
|
| 238 |
+
"grad_norm": 0.7985342144966125,
|
| 239 |
+
"learning_rate": 9.974655802173482e-06,
|
| 240 |
+
"loss": 0.3002079963684082,
|
| 241 |
+
"step": 140,
|
| 242 |
+
"token_acc": 0.8988757282833291
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.4166666666666667,
|
| 246 |
+
"grad_norm": 0.7889167666435242,
|
| 247 |
+
"learning_rate": 9.969653386589749e-06,
|
| 248 |
+
"loss": 0.29943289756774905,
|
| 249 |
+
"step": 145,
|
| 250 |
+
"token_acc": 0.8984499426698959
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 0.43103448275862066,
|
| 254 |
+
"grad_norm": 0.7854207754135132,
|
| 255 |
+
"learning_rate": 9.964202208175835e-06,
|
| 256 |
+
"loss": 0.2975877285003662,
|
| 257 |
+
"step": 150,
|
| 258 |
+
"token_acc": 0.8993797084658467
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.4454022988505747,
|
| 262 |
+
"grad_norm": 0.7467015981674194,
|
| 263 |
+
"learning_rate": 9.958302759176586e-06,
|
| 264 |
+
"loss": 0.29912853240966797,
|
| 265 |
+
"step": 155,
|
| 266 |
+
"token_acc": 0.8986065273193986
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.45977011494252873,
|
| 270 |
+
"grad_norm": 0.7273268699645996,
|
| 271 |
+
"learning_rate": 9.951955572315962e-06,
|
| 272 |
+
"loss": 0.29766645431518557,
|
| 273 |
+
"step": 160,
|
| 274 |
+
"token_acc": 0.8993621484079499
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 0.47413793103448276,
|
| 278 |
+
"grad_norm": 0.7913146018981934,
|
| 279 |
+
"learning_rate": 9.945161220748928e-06,
|
| 280 |
+
"loss": 0.30915985107421873,
|
| 281 |
+
"step": 165,
|
| 282 |
+
"token_acc": 0.8956878620785929
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.4885057471264368,
|
| 286 |
+
"grad_norm": 0.7098119258880615,
|
| 287 |
+
"learning_rate": 9.937920318009718e-06,
|
| 288 |
+
"loss": 0.30398380756378174,
|
| 289 |
+
"step": 170,
|
| 290 |
+
"token_acc": 0.8969151414504762
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.5028735632183908,
|
| 294 |
+
"grad_norm": 0.7509280443191528,
|
| 295 |
+
"learning_rate": 9.9302335179564e-06,
|
| 296 |
+
"loss": 0.30012104511260984,
|
| 297 |
+
"step": 175,
|
| 298 |
+
"token_acc": 0.8990500247419358
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.5172413793103449,
|
| 302 |
+
"grad_norm": 0.8269632458686829,
|
| 303 |
+
"learning_rate": 9.922101514711866e-06,
|
| 304 |
+
"loss": 0.30164597034454343,
|
| 305 |
+
"step": 180,
|
| 306 |
+
"token_acc": 0.8985394983310564
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.5316091954022989,
|
| 310 |
+
"grad_norm": 0.8219606280326843,
|
| 311 |
+
"learning_rate": 9.913525042601125e-06,
|
| 312 |
+
"loss": 0.2887198686599731,
|
| 313 |
+
"step": 185,
|
| 314 |
+
"token_acc": 0.9024582554776668
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.5459770114942529,
|
| 318 |
+
"grad_norm": 0.7701752185821533,
|
| 319 |
+
"learning_rate": 9.904504876085011e-06,
|
| 320 |
+
"loss": 0.30989344120025636,
|
| 321 |
+
"step": 190,
|
| 322 |
+
"token_acc": 0.8968100683109144
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.5603448275862069,
|
| 326 |
+
"grad_norm": 0.7990351319313049,
|
| 327 |
+
"learning_rate": 9.89504182969024e-06,
|
| 328 |
+
"loss": 0.28575849533081055,
|
| 329 |
+
"step": 195,
|
| 330 |
+
"token_acc": 0.902413955213203
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.5747126436781609,
|
| 334 |
+
"grad_norm": 0.7648539543151855,
|
| 335 |
+
"learning_rate": 9.885136757935862e-06,
|
| 336 |
+
"loss": 0.2953649997711182,
|
| 337 |
+
"step": 200,
|
| 338 |
+
"token_acc": 0.8998516532925523
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.5890804597701149,
|
| 342 |
+
"grad_norm": 0.7957839965820312,
|
| 343 |
+
"learning_rate": 9.87479055525609e-06,
|
| 344 |
+
"loss": 0.2969522953033447,
|
| 345 |
+
"step": 205,
|
| 346 |
+
"token_acc": 0.9001964095546645
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.603448275862069,
|
| 350 |
+
"grad_norm": 0.6543287038803101,
|
| 351 |
+
"learning_rate": 9.864004155919545e-06,
|
| 352 |
+
"loss": 0.29447548389434813,
|
| 353 |
+
"step": 210,
|
| 354 |
+
"token_acc": 0.9012295897099171
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.617816091954023,
|
| 358 |
+
"grad_norm": 0.7653723359107971,
|
| 359 |
+
"learning_rate": 9.852778533944875e-06,
|
| 360 |
+
"loss": 0.28338687419891356,
|
| 361 |
+
"step": 215,
|
| 362 |
+
"token_acc": 0.9039403841235081
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.632183908045977,
|
| 366 |
+
"grad_norm": 0.7216730713844299,
|
| 367 |
+
"learning_rate": 9.841114703012817e-06,
|
| 368 |
+
"loss": 0.27729272842407227,
|
| 369 |
+
"step": 220,
|
| 370 |
+
"token_acc": 0.9057350722299407
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.646551724137931,
|
| 374 |
+
"grad_norm": 0.6722442507743835,
|
| 375 |
+
"learning_rate": 9.829013716374647e-06,
|
| 376 |
+
"loss": 0.28614675998687744,
|
| 377 |
+
"step": 225,
|
| 378 |
+
"token_acc": 0.902680971254157
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.6609195402298851,
|
| 382 |
+
"grad_norm": 0.808274507522583,
|
| 383 |
+
"learning_rate": 9.81647666675708e-06,
|
| 384 |
+
"loss": 0.291225266456604,
|
| 385 |
+
"step": 230,
|
| 386 |
+
"token_acc": 0.9012525023959841
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 0.6752873563218391,
|
| 390 |
+
"grad_norm": 0.7579320669174194,
|
| 391 |
+
"learning_rate": 9.803504686263586e-06,
|
| 392 |
+
"loss": 0.282744312286377,
|
| 393 |
+
"step": 235,
|
| 394 |
+
"token_acc": 0.9036740387556348
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.6896551724137931,
|
| 398 |
+
"grad_norm": 0.6876379251480103,
|
| 399 |
+
"learning_rate": 9.790098946272177e-06,
|
| 400 |
+
"loss": 0.29027657508850097,
|
| 401 |
+
"step": 240,
|
| 402 |
+
"token_acc": 0.9016263972016184
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.7040229885057471,
|
| 406 |
+
"grad_norm": 0.7337082624435425,
|
| 407 |
+
"learning_rate": 9.776260657329614e-06,
|
| 408 |
+
"loss": 0.28811571598052976,
|
| 409 |
+
"step": 245,
|
| 410 |
+
"token_acc": 0.901976516465219
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.7183908045977011,
|
| 414 |
+
"grad_norm": 0.7502078413963318,
|
| 415 |
+
"learning_rate": 9.761991069042106e-06,
|
| 416 |
+
"loss": 0.2817479372024536,
|
| 417 |
+
"step": 250,
|
| 418 |
+
"token_acc": 0.9038514202476329
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 0.7327586206896551,
|
| 422 |
+
"grad_norm": 0.7350848913192749,
|
| 423 |
+
"learning_rate": 9.747291469962454e-06,
|
| 424 |
+
"loss": 0.2851818561553955,
|
| 425 |
+
"step": 255,
|
| 426 |
+
"token_acc": 0.9034762449946743
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.7471264367816092,
|
| 430 |
+
"grad_norm": 0.745708167552948,
|
| 431 |
+
"learning_rate": 9.732163187473716e-06,
|
| 432 |
+
"loss": 0.2827833414077759,
|
| 433 |
+
"step": 260,
|
| 434 |
+
"token_acc": 0.9033941118722216
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.7614942528735632,
|
| 438 |
+
"grad_norm": 0.7603588104248047,
|
| 439 |
+
"learning_rate": 9.716607587669325e-06,
|
| 440 |
+
"loss": 0.29482879638671877,
|
| 441 |
+
"step": 265,
|
| 442 |
+
"token_acc": 0.9005131991262569
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.7758620689655172,
|
| 446 |
+
"grad_norm": 0.7007916569709778,
|
| 447 |
+
"learning_rate": 9.700626075229739e-06,
|
| 448 |
+
"loss": 0.2890280246734619,
|
| 449 |
+
"step": 270,
|
| 450 |
+
"token_acc": 0.9017369981167822
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.7902298850574713,
|
| 454 |
+
"grad_norm": 0.6991475820541382,
|
| 455 |
+
"learning_rate": 9.684220093295596e-06,
|
| 456 |
+
"loss": 0.2728667020797729,
|
| 457 |
+
"step": 275,
|
| 458 |
+
"token_acc": 0.9074207128985996
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.8045977011494253,
|
| 462 |
+
"grad_norm": 0.7430739402770996,
|
| 463 |
+
"learning_rate": 9.667391123337393e-06,
|
| 464 |
+
"loss": 0.2816755771636963,
|
| 465 |
+
"step": 280,
|
| 466 |
+
"token_acc": 0.9039949641164945
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.8189655172413793,
|
| 470 |
+
"grad_norm": 0.7707583904266357,
|
| 471 |
+
"learning_rate": 9.650140685021716e-06,
|
| 472 |
+
"loss": 0.279411244392395,
|
| 473 |
+
"step": 285,
|
| 474 |
+
"token_acc": 0.904840837195186
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.8333333333333334,
|
| 478 |
+
"grad_norm": 0.778766930103302,
|
| 479 |
+
"learning_rate": 9.632470336074009e-06,
|
| 480 |
+
"loss": 0.2768320798873901,
|
| 481 |
+
"step": 290,
|
| 482 |
+
"token_acc": 0.9054280611811014
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.8477011494252874,
|
| 486 |
+
"grad_norm": 0.8028104305267334,
|
| 487 |
+
"learning_rate": 9.614381672137907e-06,
|
| 488 |
+
"loss": 0.2814202070236206,
|
| 489 |
+
"step": 295,
|
| 490 |
+
"token_acc": 0.9039378147324043
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 0.8620689655172413,
|
| 494 |
+
"grad_norm": 0.7755345106124878,
|
| 495 |
+
"learning_rate": 9.595876326631155e-06,
|
| 496 |
+
"loss": 0.28777663707733153,
|
| 497 |
+
"step": 300,
|
| 498 |
+
"token_acc": 0.9027070136785091
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 0.8764367816091954,
|
| 502 |
+
"grad_norm": 0.6636546850204468,
|
| 503 |
+
"learning_rate": 9.5769559705981e-06,
|
| 504 |
+
"loss": 0.2834830045700073,
|
| 505 |
+
"step": 305,
|
| 506 |
+
"token_acc": 0.9043677742168689
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.8908045977011494,
|
| 510 |
+
"grad_norm": 0.6981901526451111,
|
| 511 |
+
"learning_rate": 9.557622312558813e-06,
|
| 512 |
+
"loss": 0.2755718469619751,
|
| 513 |
+
"step": 310,
|
| 514 |
+
"token_acc": 0.9058268683696704
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.9051724137931034,
|
| 518 |
+
"grad_norm": 0.7137438654899597,
|
| 519 |
+
"learning_rate": 9.537877098354787e-06,
|
| 520 |
+
"loss": 0.27501988410949707,
|
| 521 |
+
"step": 315,
|
| 522 |
+
"token_acc": 0.9055966179120146
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.9195402298850575,
|
| 526 |
+
"grad_norm": 0.6470423340797424,
|
| 527 |
+
"learning_rate": 9.517722110991295e-06,
|
| 528 |
+
"loss": 0.2749337673187256,
|
| 529 |
+
"step": 320,
|
| 530 |
+
"token_acc": 0.9056260532474261
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.9339080459770115,
|
| 534 |
+
"grad_norm": 0.7691536545753479,
|
| 535 |
+
"learning_rate": 9.49715917047639e-06,
|
| 536 |
+
"loss": 0.2793783187866211,
|
| 537 |
+
"step": 325,
|
| 538 |
+
"token_acc": 0.9046256514742141
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 0.9482758620689655,
|
| 542 |
+
"grad_norm": 0.7594360113143921,
|
| 543 |
+
"learning_rate": 9.47619013365655e-06,
|
| 544 |
+
"loss": 0.28690061569213865,
|
| 545 |
+
"step": 330,
|
| 546 |
+
"token_acc": 0.9025547686081296
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.9626436781609196,
|
| 550 |
+
"grad_norm": 0.6703284978866577,
|
| 551 |
+
"learning_rate": 9.454816894049002e-06,
|
| 552 |
+
"loss": 0.27643957138061526,
|
| 553 |
+
"step": 335,
|
| 554 |
+
"token_acc": 0.9067482976841635
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.9770114942528736,
|
| 558 |
+
"grad_norm": 0.6189959645271301,
|
| 559 |
+
"learning_rate": 9.43304138167074e-06,
|
| 560 |
+
"loss": 0.2853975772857666,
|
| 561 |
+
"step": 340,
|
| 562 |
+
"token_acc": 0.9036247453748919
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.9913793103448276,
|
| 566 |
+
"grad_norm": 0.6638550162315369,
|
| 567 |
+
"learning_rate": 9.410865562864247e-06,
|
| 568 |
+
"loss": 0.2738370418548584,
|
| 569 |
+
"step": 345,
|
| 570 |
+
"token_acc": 0.9068261216206421
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.0057471264367817,
|
| 574 |
+
"grad_norm": 0.6068477034568787,
|
| 575 |
+
"learning_rate": 9.388291440119924e-06,
|
| 576 |
+
"loss": 0.2589106559753418,
|
| 577 |
+
"step": 350,
|
| 578 |
+
"token_acc": 0.9109583410112121
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.0201149425287357,
|
| 582 |
+
"grad_norm": 0.732253909111023,
|
| 583 |
+
"learning_rate": 9.365321051895268e-06,
|
| 584 |
+
"loss": 0.2238328456878662,
|
| 585 |
+
"step": 355,
|
| 586 |
+
"token_acc": 0.9216384658610375
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 1.0344827586206897,
|
| 590 |
+
"grad_norm": 0.6326807141304016,
|
| 591 |
+
"learning_rate": 9.341956472430803e-06,
|
| 592 |
+
"loss": 0.22989251613616943,
|
| 593 |
+
"step": 360,
|
| 594 |
+
"token_acc": 0.9194194964787729
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 1.0488505747126438,
|
| 598 |
+
"grad_norm": 0.7311187982559204,
|
| 599 |
+
"learning_rate": 9.318199811562762e-06,
|
| 600 |
+
"loss": 0.2297137975692749,
|
| 601 |
+
"step": 365,
|
| 602 |
+
"token_acc": 0.9192324609632725
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 1.0632183908045978,
|
| 606 |
+
"grad_norm": 0.586195707321167,
|
| 607 |
+
"learning_rate": 9.294053214532588e-06,
|
| 608 |
+
"loss": 0.22300987243652343,
|
| 609 |
+
"step": 370,
|
| 610 |
+
"token_acc": 0.9219570625633465
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 1.0775862068965518,
|
| 614 |
+
"grad_norm": 0.6735196709632874,
|
| 615 |
+
"learning_rate": 9.269518861793193e-06,
|
| 616 |
+
"loss": 0.22916293144226074,
|
| 617 |
+
"step": 375,
|
| 618 |
+
"token_acc": 0.9195292685994776
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 1.0919540229885056,
|
| 622 |
+
"grad_norm": 0.6448853015899658,
|
| 623 |
+
"learning_rate": 9.244598968812081e-06,
|
| 624 |
+
"loss": 0.22288815975189208,
|
| 625 |
+
"step": 380,
|
| 626 |
+
"token_acc": 0.9211659461783944
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.1063218390804597,
|
| 630 |
+
"grad_norm": 0.6758164167404175,
|
| 631 |
+
"learning_rate": 9.219295785871278e-06,
|
| 632 |
+
"loss": 0.2312171459197998,
|
| 633 |
+
"step": 385,
|
| 634 |
+
"token_acc": 0.9189928032918805
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 1.1206896551724137,
|
| 638 |
+
"grad_norm": 0.6390823721885681,
|
| 639 |
+
"learning_rate": 9.193611597864138e-06,
|
| 640 |
+
"loss": 0.22460539340972902,
|
| 641 |
+
"step": 390,
|
| 642 |
+
"token_acc": 0.9209666270356955
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 1.1350574712643677,
|
| 646 |
+
"grad_norm": 0.5888715386390686,
|
| 647 |
+
"learning_rate": 9.16754872408901e-06,
|
| 648 |
+
"loss": 0.22736835479736328,
|
| 649 |
+
"step": 395,
|
| 650 |
+
"token_acc": 0.9198526581382215
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 1.1494252873563218,
|
| 654 |
+
"grad_norm": 0.6396211981773376,
|
| 655 |
+
"learning_rate": 9.14110951803981e-06,
|
| 656 |
+
"loss": 0.22712435722351074,
|
| 657 |
+
"step": 400,
|
| 658 |
+
"token_acc": 0.9198965661702035
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 1.1637931034482758,
|
| 662 |
+
"grad_norm": 0.6098877787590027,
|
| 663 |
+
"learning_rate": 9.114296367193491e-06,
|
| 664 |
+
"loss": 0.22663559913635253,
|
| 665 |
+
"step": 405,
|
| 666 |
+
"token_acc": 0.9205513011598225
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.1781609195402298,
|
| 670 |
+
"grad_norm": 0.6394032835960388,
|
| 671 |
+
"learning_rate": 9.08711169279446e-06,
|
| 672 |
+
"loss": 0.2287325382232666,
|
| 673 |
+
"step": 410,
|
| 674 |
+
"token_acc": 0.9189529330228593
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.1925287356321839,
|
| 678 |
+
"grad_norm": 0.644769549369812,
|
| 679 |
+
"learning_rate": 9.059557949635931e-06,
|
| 680 |
+
"loss": 0.22587807178497316,
|
| 681 |
+
"step": 415,
|
| 682 |
+
"token_acc": 0.9206358036258022
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.206896551724138,
|
| 686 |
+
"grad_norm": 0.6251801252365112,
|
| 687 |
+
"learning_rate": 9.031637625838265e-06,
|
| 688 |
+
"loss": 0.23158540725708007,
|
| 689 |
+
"step": 420,
|
| 690 |
+
"token_acc": 0.9189880409547674
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.221264367816092,
|
| 694 |
+
"grad_norm": 0.7210418581962585,
|
| 695 |
+
"learning_rate": 9.003353242624279e-06,
|
| 696 |
+
"loss": 0.22089509963989257,
|
| 697 |
+
"step": 425,
|
| 698 |
+
"token_acc": 0.9217030262388175
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 1.235632183908046,
|
| 702 |
+
"grad_norm": 0.6865154504776001,
|
| 703 |
+
"learning_rate": 8.97470735409159e-06,
|
| 704 |
+
"loss": 0.2276074171066284,
|
| 705 |
+
"step": 430,
|
| 706 |
+
"token_acc": 0.9203275653350423
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 1.25,
|
| 710 |
+
"grad_norm": 0.6921049356460571,
|
| 711 |
+
"learning_rate": 8.94570254698197e-06,
|
| 712 |
+
"loss": 0.23009068965911866,
|
| 713 |
+
"step": 435,
|
| 714 |
+
"token_acc": 0.9185853649836814
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 1.264367816091954,
|
| 718 |
+
"grad_norm": 0.6811380982398987,
|
| 719 |
+
"learning_rate": 8.916341440447763e-06,
|
| 720 |
+
"loss": 0.2254939556121826,
|
| 721 |
+
"step": 440,
|
| 722 |
+
"token_acc": 0.9204800159783405
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 1.278735632183908,
|
| 726 |
+
"grad_norm": 0.6077721118927002,
|
| 727 |
+
"learning_rate": 8.886626685815381e-06,
|
| 728 |
+
"loss": 0.22704215049743653,
|
| 729 |
+
"step": 445,
|
| 730 |
+
"token_acc": 0.9194910501996322
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 1.293103448275862,
|
| 734 |
+
"grad_norm": 0.6493836045265198,
|
| 735 |
+
"learning_rate": 8.856560966345878e-06,
|
| 736 |
+
"loss": 0.2236196756362915,
|
| 737 |
+
"step": 450,
|
| 738 |
+
"token_acc": 0.9211338336634768
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 1.3074712643678161,
|
| 742 |
+
"grad_norm": 0.629676878452301,
|
| 743 |
+
"learning_rate": 8.826146996992652e-06,
|
| 744 |
+
"loss": 0.22625925540924072,
|
| 745 |
+
"step": 455,
|
| 746 |
+
"token_acc": 0.9205657286477268
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 1.3218390804597702,
|
| 750 |
+
"grad_norm": 0.6058956980705261,
|
| 751 |
+
"learning_rate": 8.795387524156288e-06,
|
| 752 |
+
"loss": 0.2242074966430664,
|
| 753 |
+
"step": 460,
|
| 754 |
+
"token_acc": 0.9205807027643003
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 1.3362068965517242,
|
| 758 |
+
"grad_norm": 0.6739834547042847,
|
| 759 |
+
"learning_rate": 8.764285325436558e-06,
|
| 760 |
+
"loss": 0.22307302951812744,
|
| 761 |
+
"step": 465,
|
| 762 |
+
"token_acc": 0.9218346894929089
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 1.3505747126436782,
|
| 766 |
+
"grad_norm": 0.6315281391143799,
|
| 767 |
+
"learning_rate": 8.73284320938158e-06,
|
| 768 |
+
"loss": 0.22982447147369384,
|
| 769 |
+
"step": 470,
|
| 770 |
+
"token_acc": 0.9196403357167869
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 1.3649425287356323,
|
| 774 |
+
"grad_norm": 0.6005785465240479,
|
| 775 |
+
"learning_rate": 8.701064015234244e-06,
|
| 776 |
+
"loss": 0.21757099628448487,
|
| 777 |
+
"step": 475,
|
| 778 |
+
"token_acc": 0.922890382253053
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 1.3793103448275863,
|
| 782 |
+
"grad_norm": 0.6035122871398926,
|
| 783 |
+
"learning_rate": 8.668950612675784e-06,
|
| 784 |
+
"loss": 0.23044428825378419,
|
| 785 |
+
"step": 480,
|
| 786 |
+
"token_acc": 0.9192890824546467
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 1.3936781609195403,
|
| 790 |
+
"grad_norm": 0.5926746726036072,
|
| 791 |
+
"learning_rate": 8.636505901566678e-06,
|
| 792 |
+
"loss": 0.21679251194000243,
|
| 793 |
+
"step": 485,
|
| 794 |
+
"token_acc": 0.9236747555910407
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.4080459770114944,
|
| 798 |
+
"grad_norm": 0.6238638758659363,
|
| 799 |
+
"learning_rate": 8.603732811684768e-06,
|
| 800 |
+
"loss": 0.2293393850326538,
|
| 801 |
+
"step": 490,
|
| 802 |
+
"token_acc": 0.9200520664579876
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 1.4224137931034484,
|
| 806 |
+
"grad_norm": 0.6290664076805115,
|
| 807 |
+
"learning_rate": 8.570634302460707e-06,
|
| 808 |
+
"loss": 0.22460541725158692,
|
| 809 |
+
"step": 495,
|
| 810 |
+
"token_acc": 0.9209492975317076
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 1.4367816091954024,
|
| 814 |
+
"grad_norm": 0.6945292353630066,
|
| 815 |
+
"learning_rate": 8.537213362710722e-06,
|
| 816 |
+
"loss": 0.22157375812530516,
|
| 817 |
+
"step": 500,
|
| 818 |
+
"token_acc": 0.9212576057473792
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 1.4511494252873562,
|
| 822 |
+
"grad_norm": 0.6543501019477844,
|
| 823 |
+
"learning_rate": 8.503473010366713e-06,
|
| 824 |
+
"loss": 0.23016009330749512,
|
| 825 |
+
"step": 505,
|
| 826 |
+
"token_acc": 0.9189749013260724
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 1.4655172413793103,
|
| 830 |
+
"grad_norm": 0.7231053709983826,
|
| 831 |
+
"learning_rate": 8.469416292203747e-06,
|
| 832 |
+
"loss": 0.22193603515625,
|
| 833 |
+
"step": 510,
|
| 834 |
+
"token_acc": 0.9215068557863781
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 1.4798850574712643,
|
| 838 |
+
"grad_norm": 0.611612856388092,
|
| 839 |
+
"learning_rate": 8.435046283564918e-06,
|
| 840 |
+
"loss": 0.22004530429840088,
|
| 841 |
+
"step": 515,
|
| 842 |
+
"token_acc": 0.9220109589346533
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 1.4942528735632183,
|
| 846 |
+
"grad_norm": 0.6593984961509705,
|
| 847 |
+
"learning_rate": 8.400366088083648e-06,
|
| 848 |
+
"loss": 0.22890899181365967,
|
| 849 |
+
"step": 520,
|
| 850 |
+
"token_acc": 0.9195443259821819
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 1.5086206896551724,
|
| 854 |
+
"grad_norm": 0.572110652923584,
|
| 855 |
+
"learning_rate": 8.365378837403429e-06,
|
| 856 |
+
"loss": 0.2156899929046631,
|
| 857 |
+
"step": 525,
|
| 858 |
+
"token_acc": 0.9235853204215982
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 1.5229885057471264,
|
| 862 |
+
"grad_norm": 0.620583176612854,
|
| 863 |
+
"learning_rate": 8.330087690895025e-06,
|
| 864 |
+
"loss": 0.22582778930664063,
|
| 865 |
+
"step": 530,
|
| 866 |
+
"token_acc": 0.9202767452825017
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 1.5373563218390804,
|
| 870 |
+
"grad_norm": 0.598166823387146,
|
| 871 |
+
"learning_rate": 8.294495835371192e-06,
|
| 872 |
+
"loss": 0.2208933115005493,
|
| 873 |
+
"step": 535,
|
| 874 |
+
"token_acc": 0.9222432071023863
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 1.5517241379310345,
|
| 878 |
+
"grad_norm": 0.6030401587486267,
|
| 879 |
+
"learning_rate": 8.258606484798896e-06,
|
| 880 |
+
"loss": 0.22270665168762208,
|
| 881 |
+
"step": 540,
|
| 882 |
+
"token_acc": 0.9211812235475183
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 1.5660919540229885,
|
| 886 |
+
"grad_norm": 0.6478816270828247,
|
| 887 |
+
"learning_rate": 8.22242288000909e-06,
|
| 888 |
+
"loss": 0.22272849082946777,
|
| 889 |
+
"step": 545,
|
| 890 |
+
"token_acc": 0.920936990781865
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 1.5804597701149425,
|
| 894 |
+
"grad_norm": 0.6298638582229614,
|
| 895 |
+
"learning_rate": 8.185948288404073e-06,
|
| 896 |
+
"loss": 0.22361083030700685,
|
| 897 |
+
"step": 550,
|
| 898 |
+
"token_acc": 0.9213775438736918
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 1.5948275862068966,
|
| 902 |
+
"grad_norm": 0.6502262949943542,
|
| 903 |
+
"learning_rate": 8.149186003662437e-06,
|
| 904 |
+
"loss": 0.22431838512420654,
|
| 905 |
+
"step": 555,
|
| 906 |
+
"token_acc": 0.9212732332428626
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.6091954022988506,
|
| 910 |
+
"grad_norm": 0.5969738364219666,
|
| 911 |
+
"learning_rate": 8.112139345441638e-06,
|
| 912 |
+
"loss": 0.21729083061218263,
|
| 913 |
+
"step": 560,
|
| 914 |
+
"token_acc": 0.9223729651179893
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 1.6235632183908046,
|
| 918 |
+
"grad_norm": 0.5870260000228882,
|
| 919 |
+
"learning_rate": 8.074811659078247e-06,
|
| 920 |
+
"loss": 0.22120294570922852,
|
| 921 |
+
"step": 565,
|
| 922 |
+
"token_acc": 0.9222056683329211
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 1.6379310344827587,
|
| 926 |
+
"grad_norm": 0.6318520307540894,
|
| 927 |
+
"learning_rate": 8.037206315285842e-06,
|
| 928 |
+
"loss": 0.23049440383911132,
|
| 929 |
+
"step": 570,
|
| 930 |
+
"token_acc": 0.9191351729034366
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 1.6522988505747125,
|
| 934 |
+
"grad_norm": 0.6057857275009155,
|
| 935 |
+
"learning_rate": 7.999326709850653e-06,
|
| 936 |
+
"loss": 0.22965495586395263,
|
| 937 |
+
"step": 575,
|
| 938 |
+
"token_acc": 0.9194872224082133
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 1.6666666666666665,
|
| 942 |
+
"grad_norm": 0.6213001012802124,
|
| 943 |
+
"learning_rate": 7.961176263324902e-06,
|
| 944 |
+
"loss": 0.2238182544708252,
|
| 945 |
+
"step": 580,
|
| 946 |
+
"token_acc": 0.9214975345535017
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 1.6810344827586206,
|
| 950 |
+
"grad_norm": 0.6396650671958923,
|
| 951 |
+
"learning_rate": 7.92275842071793e-06,
|
| 952 |
+
"loss": 0.22597620487213135,
|
| 953 |
+
"step": 585,
|
| 954 |
+
"token_acc": 0.9198568056786376
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 1.6954022988505746,
|
| 958 |
+
"grad_norm": 0.634431779384613,
|
| 959 |
+
"learning_rate": 7.88407665118512e-06,
|
| 960 |
+
"loss": 0.22038779258728028,
|
| 961 |
+
"step": 590,
|
| 962 |
+
"token_acc": 0.922038028258472
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.7097701149425286,
|
| 966 |
+
"grad_norm": 0.6329310536384583,
|
| 967 |
+
"learning_rate": 7.845134447714614e-06,
|
| 968 |
+
"loss": 0.22400221824645997,
|
| 969 |
+
"step": 595,
|
| 970 |
+
"token_acc": 0.9209220975760725
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 1.7241379310344827,
|
| 974 |
+
"grad_norm": 0.6118066310882568,
|
| 975 |
+
"learning_rate": 7.805935326811913e-06,
|
| 976 |
+
"loss": 0.22857046127319336,
|
| 977 |
+
"step": 600,
|
| 978 |
+
"token_acc": 0.91976195082606
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 1.7385057471264367,
|
| 982 |
+
"grad_norm": 0.6650734543800354,
|
| 983 |
+
"learning_rate": 7.766482828182314e-06,
|
| 984 |
+
"loss": 0.23167500495910645,
|
| 985 |
+
"step": 605,
|
| 986 |
+
"token_acc": 0.9195267958122185
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 1.7528735632183907,
|
| 990 |
+
"grad_norm": 0.6366269588470459,
|
| 991 |
+
"learning_rate": 7.726780514411287e-06,
|
| 992 |
+
"loss": 0.2227400779724121,
|
| 993 |
+
"step": 610,
|
| 994 |
+
"token_acc": 0.9218334909271017
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 1.7672413793103448,
|
| 998 |
+
"grad_norm": 0.6021769642829895,
|
| 999 |
+
"learning_rate": 7.686831970642768e-06,
|
| 1000 |
+
"loss": 0.2297227144241333,
|
| 1001 |
+
"step": 615,
|
| 1002 |
+
"token_acc": 0.919332224722032
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 1.7816091954022988,
|
| 1006 |
+
"grad_norm": 0.615818440914154,
|
| 1007 |
+
"learning_rate": 7.64664080425541e-06,
|
| 1008 |
+
"loss": 0.2171243190765381,
|
| 1009 |
+
"step": 620,
|
| 1010 |
+
"token_acc": 0.9234899290175136
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 1.7959770114942528,
|
| 1014 |
+
"grad_norm": 0.6163890957832336,
|
| 1015 |
+
"learning_rate": 7.606210644536851e-06,
|
| 1016 |
+
"loss": 0.2218536376953125,
|
| 1017 |
+
"step": 625,
|
| 1018 |
+
"token_acc": 0.9216376121035887
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.8103448275862069,
|
| 1022 |
+
"grad_norm": 0.6491876244544983,
|
| 1023 |
+
"learning_rate": 7.565545142355971e-06,
|
| 1024 |
+
"loss": 0.22541501522064208,
|
| 1025 |
+
"step": 630,
|
| 1026 |
+
"token_acc": 0.9204486099781094
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 1.8247126436781609,
|
| 1030 |
+
"grad_norm": 0.6006410121917725,
|
| 1031 |
+
"learning_rate": 7.524647969833223e-06,
|
| 1032 |
+
"loss": 0.22348830699920655,
|
| 1033 |
+
"step": 635,
|
| 1034 |
+
"token_acc": 0.9213447336029541
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 1.839080459770115,
|
| 1038 |
+
"grad_norm": 0.6636133193969727,
|
| 1039 |
+
"learning_rate": 7.483522820009037e-06,
|
| 1040 |
+
"loss": 0.2237182855606079,
|
| 1041 |
+
"step": 640,
|
| 1042 |
+
"token_acc": 0.9212789131646073
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 1.853448275862069,
|
| 1046 |
+
"grad_norm": 0.6226218938827515,
|
| 1047 |
+
"learning_rate": 7.442173406510342e-06,
|
| 1048 |
+
"loss": 0.22558093070983887,
|
| 1049 |
+
"step": 645,
|
| 1050 |
+
"token_acc": 0.9203516760456492
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 1.867816091954023,
|
| 1054 |
+
"grad_norm": 0.5878725051879883,
|
| 1055 |
+
"learning_rate": 7.400603463215213e-06,
|
| 1056 |
+
"loss": 0.218361759185791,
|
| 1057 |
+
"step": 650,
|
| 1058 |
+
"token_acc": 0.9226935222326534
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 1.882183908045977,
|
| 1062 |
+
"grad_norm": 0.6098897457122803,
|
| 1063 |
+
"learning_rate": 7.358816743915704e-06,
|
| 1064 |
+
"loss": 0.21668548583984376,
|
| 1065 |
+
"step": 655,
|
| 1066 |
+
"token_acc": 0.9230603341503006
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 1.896551724137931,
|
| 1070 |
+
"grad_norm": 0.6154414415359497,
|
| 1071 |
+
"learning_rate": 7.3168170219788836e-06,
|
| 1072 |
+
"loss": 0.22438428401947022,
|
| 1073 |
+
"step": 660,
|
| 1074 |
+
"token_acc": 0.9209099064251443
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.910919540229885,
|
| 1078 |
+
"grad_norm": 0.5887994170188904,
|
| 1079 |
+
"learning_rate": 7.274608090006088e-06,
|
| 1080 |
+
"loss": 0.21097733974456787,
|
| 1081 |
+
"step": 665,
|
| 1082 |
+
"token_acc": 0.9246009629067451
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 1.9252873563218391,
|
| 1086 |
+
"grad_norm": 0.5934816002845764,
|
| 1087 |
+
"learning_rate": 7.232193759490452e-06,
|
| 1088 |
+
"loss": 0.22112298011779785,
|
| 1089 |
+
"step": 670,
|
| 1090 |
+
"token_acc": 0.9216444652064286
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 1.9396551724137931,
|
| 1094 |
+
"grad_norm": 0.5901604890823364,
|
| 1095 |
+
"learning_rate": 7.189577860472732e-06,
|
| 1096 |
+
"loss": 0.2318714141845703,
|
| 1097 |
+
"step": 675,
|
| 1098 |
+
"token_acc": 0.9180115782893485
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 1.9540229885057472,
|
| 1102 |
+
"grad_norm": 0.6483431458473206,
|
| 1103 |
+
"learning_rate": 7.146764241195445e-06,
|
| 1104 |
+
"loss": 0.2210935115814209,
|
| 1105 |
+
"step": 680,
|
| 1106 |
+
"token_acc": 0.9222021475228559
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 1.9683908045977012,
|
| 1110 |
+
"grad_norm": 0.6194449067115784,
|
| 1111 |
+
"learning_rate": 7.103756767755368e-06,
|
| 1112 |
+
"loss": 0.2205436944961548,
|
| 1113 |
+
"step": 685,
|
| 1114 |
+
"token_acc": 0.9223388322921946
|
| 1115 |
+
},
|
| 1116 |
+
{
|
| 1117 |
+
"epoch": 1.9827586206896552,
|
| 1118 |
+
"grad_norm": 0.599036455154419,
|
| 1119 |
+
"learning_rate": 7.060559323754436e-06,
|
| 1120 |
+
"loss": 0.21962616443634034,
|
| 1121 |
+
"step": 690,
|
| 1122 |
+
"token_acc": 0.9221123108771584
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 1.9971264367816093,
|
| 1126 |
+
"grad_norm": 0.6493648886680603,
|
| 1127 |
+
"learning_rate": 7.017175809949044e-06,
|
| 1128 |
+
"loss": 0.21666316986083983,
|
| 1129 |
+
"step": 695,
|
| 1130 |
+
"token_acc": 0.9239043058856424
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 2.0114942528735633,
|
| 1134 |
+
"grad_norm": 0.5151979327201843,
|
| 1135 |
+
"learning_rate": 6.9736101438978055e-06,
|
| 1136 |
+
"loss": 0.17990593910217284,
|
| 1137 |
+
"step": 700,
|
| 1138 |
+
"token_acc": 0.9367058259410214
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 2.0258620689655173,
|
| 1142 |
+
"grad_norm": 0.6045121550559998,
|
| 1143 |
+
"learning_rate": 6.929866259607798e-06,
|
| 1144 |
+
"loss": 0.16274212598800658,
|
| 1145 |
+
"step": 705,
|
| 1146 |
+
"token_acc": 0.9415297555911625
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 2.0402298850574714,
|
| 1150 |
+
"grad_norm": 0.5994232296943665,
|
| 1151 |
+
"learning_rate": 6.885948107179321e-06,
|
| 1152 |
+
"loss": 0.15833277702331544,
|
| 1153 |
+
"step": 710,
|
| 1154 |
+
"token_acc": 0.9430992210408701
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 2.0545977011494254,
|
| 1158 |
+
"grad_norm": 0.5645899176597595,
|
| 1159 |
+
"learning_rate": 6.841859652449191e-06,
|
| 1160 |
+
"loss": 0.15611765384674073,
|
| 1161 |
+
"step": 715,
|
| 1162 |
+
"token_acc": 0.9431611196378555
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 2.0689655172413794,
|
| 1166 |
+
"grad_norm": 0.5400298833847046,
|
| 1167 |
+
"learning_rate": 6.797604876632633e-06,
|
| 1168 |
+
"loss": 0.15789283514022828,
|
| 1169 |
+
"step": 720,
|
| 1170 |
+
"token_acc": 0.9429063148389799
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 2.0833333333333335,
|
| 1174 |
+
"grad_norm": 0.5909697413444519,
|
| 1175 |
+
"learning_rate": 6.753187775963773e-06,
|
| 1176 |
+
"loss": 0.16772289276123048,
|
| 1177 |
+
"step": 725,
|
| 1178 |
+
"token_acc": 0.9394692623007922
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 2.0977011494252875,
|
| 1182 |
+
"grad_norm": 0.5501136779785156,
|
| 1183 |
+
"learning_rate": 6.708612361334767e-06,
|
| 1184 |
+
"loss": 0.16173641681671141,
|
| 1185 |
+
"step": 730,
|
| 1186 |
+
"token_acc": 0.9413316946211683
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 2.1120689655172415,
|
| 1190 |
+
"grad_norm": 0.5678064227104187,
|
| 1191 |
+
"learning_rate": 6.663882657933627e-06,
|
| 1192 |
+
"loss": 0.1595856785774231,
|
| 1193 |
+
"step": 735,
|
| 1194 |
+
"token_acc": 0.9419337925811573
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 2.1264367816091956,
|
| 1198 |
+
"grad_norm": 0.5946845412254333,
|
| 1199 |
+
"learning_rate": 6.619002704880734e-06,
|
| 1200 |
+
"loss": 0.16368247270584108,
|
| 1201 |
+
"step": 740,
|
| 1202 |
+
"token_acc": 0.9412974145140175
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 2.1408045977011496,
|
| 1206 |
+
"grad_norm": 0.5547811388969421,
|
| 1207 |
+
"learning_rate": 6.573976554864112e-06,
|
| 1208 |
+
"loss": 0.1569953441619873,
|
| 1209 |
+
"step": 745,
|
| 1210 |
+
"token_acc": 0.9429346979137447
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 2.1551724137931036,
|
| 1214 |
+
"grad_norm": 0.6081125140190125,
|
| 1215 |
+
"learning_rate": 6.52880827377346e-06,
|
| 1216 |
+
"loss": 0.15633049011230468,
|
| 1217 |
+
"step": 750,
|
| 1218 |
+
"token_acc": 0.9436848836708006
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 2.1695402298850572,
|
| 1222 |
+
"grad_norm": 0.5700559020042419,
|
| 1223 |
+
"learning_rate": 6.4835019403330005e-06,
|
| 1224 |
+
"loss": 0.1616694450378418,
|
| 1225 |
+
"step": 755,
|
| 1226 |
+
"token_acc": 0.9420208339977444
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 2.1839080459770113,
|
| 1230 |
+
"grad_norm": 0.5927231907844543,
|
| 1231 |
+
"learning_rate": 6.4380616457331755e-06,
|
| 1232 |
+
"loss": 0.15684512853622437,
|
| 1233 |
+
"step": 760,
|
| 1234 |
+
"token_acc": 0.9430860747388772
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 2.1982758620689653,
|
| 1238 |
+
"grad_norm": 0.5662438273429871,
|
| 1239 |
+
"learning_rate": 6.392491493261199e-06,
|
| 1240 |
+
"loss": 0.15455737113952636,
|
| 1241 |
+
"step": 765,
|
| 1242 |
+
"token_acc": 0.9439083729020733
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 2.2126436781609193,
|
| 1246 |
+
"grad_norm": 0.6180692315101624,
|
| 1247 |
+
"learning_rate": 6.3467955979305326e-06,
|
| 1248 |
+
"loss": 0.16106997728347777,
|
| 1249 |
+
"step": 770,
|
| 1250 |
+
"token_acc": 0.9416754852644854
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.2270114942528734,
|
| 1254 |
+
"grad_norm": 0.5441434979438782,
|
| 1255 |
+
"learning_rate": 6.300978086109305e-06,
|
| 1256 |
+
"loss": 0.16208994388580322,
|
| 1257 |
+
"step": 775,
|
| 1258 |
+
"token_acc": 0.9412263813209829
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 2.2413793103448274,
|
| 1262 |
+
"grad_norm": 0.5616468191146851,
|
| 1263 |
+
"learning_rate": 6.255043095147679e-06,
|
| 1264 |
+
"loss": 0.15927375555038453,
|
| 1265 |
+
"step": 780,
|
| 1266 |
+
"token_acc": 0.9423713744721197
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 2.2557471264367814,
|
| 1270 |
+
"grad_norm": 0.5193885564804077,
|
| 1271 |
+
"learning_rate": 6.208994773004266e-06,
|
| 1272 |
+
"loss": 0.15997812747955323,
|
| 1273 |
+
"step": 785,
|
| 1274 |
+
"token_acc": 0.9420608194731714
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 2.2701149425287355,
|
| 1278 |
+
"grad_norm": 0.5596188306808472,
|
| 1279 |
+
"learning_rate": 6.162837277871553e-06,
|
| 1280 |
+
"loss": 0.16357777118682862,
|
| 1281 |
+
"step": 790,
|
| 1282 |
+
"token_acc": 0.9406173675910481
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 2.2844827586206895,
|
| 1286 |
+
"grad_norm": 0.5576221346855164,
|
| 1287 |
+
"learning_rate": 6.116574777800413e-06,
|
| 1288 |
+
"loss": 0.15778462886810302,
|
| 1289 |
+
"step": 795,
|
| 1290 |
+
"token_acc": 0.9430074419760587
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 2.2988505747126435,
|
| 1294 |
+
"grad_norm": 0.6510303020477295,
|
| 1295 |
+
"learning_rate": 6.070211450323737e-06,
|
| 1296 |
+
"loss": 0.15905938148498536,
|
| 1297 |
+
"step": 800,
|
| 1298 |
+
"token_acc": 0.9422998550987141
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 2.3132183908045976,
|
| 1302 |
+
"grad_norm": 0.6205097436904907,
|
| 1303 |
+
"learning_rate": 6.023751482079186e-06,
|
| 1304 |
+
"loss": 0.16222896575927734,
|
| 1305 |
+
"step": 805,
|
| 1306 |
+
"token_acc": 0.94130131311641
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 2.3275862068965516,
|
| 1310 |
+
"grad_norm": 0.5592314004898071,
|
| 1311 |
+
"learning_rate": 5.977199068431154e-06,
|
| 1312 |
+
"loss": 0.15956305265426635,
|
| 1313 |
+
"step": 810,
|
| 1314 |
+
"token_acc": 0.9416855559126421
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 2.3419540229885056,
|
| 1318 |
+
"grad_norm": 0.5842496752738953,
|
| 1319 |
+
"learning_rate": 5.930558413091903e-06,
|
| 1320 |
+
"loss": 0.15918197631835937,
|
| 1321 |
+
"step": 815,
|
| 1322 |
+
"token_acc": 0.9425314933703973
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 2.3563218390804597,
|
| 1326 |
+
"grad_norm": 0.5384538769721985,
|
| 1327 |
+
"learning_rate": 5.883833727741982e-06,
|
| 1328 |
+
"loss": 0.15995166301727295,
|
| 1329 |
+
"step": 820,
|
| 1330 |
+
"token_acc": 0.9422360127778503
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 2.3706896551724137,
|
| 1334 |
+
"grad_norm": 0.5527569651603699,
|
| 1335 |
+
"learning_rate": 5.837029231649899e-06,
|
| 1336 |
+
"loss": 0.16167669296264647,
|
| 1337 |
+
"step": 825,
|
| 1338 |
+
"token_acc": 0.9420040830709819
|
| 1339 |
+
},
|
| 1340 |
+
{
|
| 1341 |
+
"epoch": 2.3850574712643677,
|
| 1342 |
+
"grad_norm": 0.565212070941925,
|
| 1343 |
+
"learning_rate": 5.790149151291124e-06,
|
| 1344 |
+
"loss": 0.1560319781303406,
|
| 1345 |
+
"step": 830,
|
| 1346 |
+
"token_acc": 0.9427164634418289
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 2.3994252873563218,
|
| 1350 |
+
"grad_norm": 0.5099773406982422,
|
| 1351 |
+
"learning_rate": 5.743197719966434e-06,
|
| 1352 |
+
"loss": 0.15993741750717164,
|
| 1353 |
+
"step": 835,
|
| 1354 |
+
"token_acc": 0.9424713643815994
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 2.413793103448276,
|
| 1358 |
+
"grad_norm": 0.5427571535110474,
|
| 1359 |
+
"learning_rate": 5.696179177419643e-06,
|
| 1360 |
+
"loss": 0.15984433889389038,
|
| 1361 |
+
"step": 840,
|
| 1362 |
+
"token_acc": 0.9422104030504231
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 2.42816091954023,
|
| 1366 |
+
"grad_norm": 0.5649964809417725,
|
| 1367 |
+
"learning_rate": 5.649097769454749e-06,
|
| 1368 |
+
"loss": 0.1587543249130249,
|
| 1369 |
+
"step": 845,
|
| 1370 |
+
"token_acc": 0.9421576260408061
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 2.442528735632184,
|
| 1374 |
+
"grad_norm": 0.5804570317268372,
|
| 1375 |
+
"learning_rate": 5.60195774755254e-06,
|
| 1376 |
+
"loss": 0.15945730209350586,
|
| 1377 |
+
"step": 850,
|
| 1378 |
+
"token_acc": 0.9422158521017598
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 2.456896551724138,
|
| 1382 |
+
"grad_norm": 0.5454772710800171,
|
| 1383 |
+
"learning_rate": 5.554763368486675e-06,
|
| 1384 |
+
"loss": 0.16291909217834472,
|
| 1385 |
+
"step": 855,
|
| 1386 |
+
"token_acc": 0.9408588784800723
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 2.471264367816092,
|
| 1390 |
+
"grad_norm": 0.5575549006462097,
|
| 1391 |
+
"learning_rate": 5.507518893939305e-06,
|
| 1392 |
+
"loss": 0.15833431482315063,
|
| 1393 |
+
"step": 860,
|
| 1394 |
+
"token_acc": 0.9425904466869698
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 2.485632183908046,
|
| 1398 |
+
"grad_norm": 0.5594390034675598,
|
| 1399 |
+
"learning_rate": 5.46022859011623e-06,
|
| 1400 |
+
"loss": 0.16217752695083618,
|
| 1401 |
+
"step": 865,
|
| 1402 |
+
"token_acc": 0.9414153546966382
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 2.5,
|
| 1406 |
+
"grad_norm": 0.5520246028900146,
|
| 1407 |
+
"learning_rate": 5.412896727361663e-06,
|
| 1408 |
+
"loss": 0.16071032285690307,
|
| 1409 |
+
"step": 870,
|
| 1410 |
+
"token_acc": 0.9419214876033057
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 2.514367816091954,
|
| 1414 |
+
"grad_norm": 0.5357754826545715,
|
| 1415 |
+
"learning_rate": 5.365527579772615e-06,
|
| 1416 |
+
"loss": 0.16383228302001954,
|
| 1417 |
+
"step": 875,
|
| 1418 |
+
"token_acc": 0.9405870600052406
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 2.528735632183908,
|
| 1422 |
+
"grad_norm": 0.566700279712677,
|
| 1423 |
+
"learning_rate": 5.318125424812943e-06,
|
| 1424 |
+
"loss": 0.15904467105865477,
|
| 1425 |
+
"step": 880,
|
| 1426 |
+
"token_acc": 0.9423006162520172
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 2.543103448275862,
|
| 1430 |
+
"grad_norm": 0.5374186635017395,
|
| 1431 |
+
"learning_rate": 5.270694542927089e-06,
|
| 1432 |
+
"loss": 0.16128381490707397,
|
| 1433 |
+
"step": 885,
|
| 1434 |
+
"token_acc": 0.9415549986237668
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 2.557471264367816,
|
| 1438 |
+
"grad_norm": 0.5469412803649902,
|
| 1439 |
+
"learning_rate": 5.2232392171535515e-06,
|
| 1440 |
+
"loss": 0.15972660779953002,
|
| 1441 |
+
"step": 890,
|
| 1442 |
+
"token_acc": 0.9423087655850607
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 2.57183908045977,
|
| 1446 |
+
"grad_norm": 0.556884765625,
|
| 1447 |
+
"learning_rate": 5.175763732738135e-06,
|
| 1448 |
+
"loss": 0.16042428016662597,
|
| 1449 |
+
"step": 895,
|
| 1450 |
+
"token_acc": 0.9419193194507572
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 2.586206896551724,
|
| 1454 |
+
"grad_norm": 0.5304916501045227,
|
| 1455 |
+
"learning_rate": 5.128272376746972e-06,
|
| 1456 |
+
"loss": 0.15746138095855713,
|
| 1457 |
+
"step": 900,
|
| 1458 |
+
"token_acc": 0.9429987863934677
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 2.6005747126436782,
|
| 1462 |
+
"grad_norm": 0.5301142930984497,
|
| 1463 |
+
"learning_rate": 5.080769437679417e-06,
|
| 1464 |
+
"loss": 0.15831880569458007,
|
| 1465 |
+
"step": 905,
|
| 1466 |
+
"token_acc": 0.9429148158292744
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 2.6149425287356323,
|
| 1470 |
+
"grad_norm": 0.566373884677887,
|
| 1471 |
+
"learning_rate": 5.03325920508078e-06,
|
| 1472 |
+
"loss": 0.1599961757659912,
|
| 1473 |
+
"step": 910,
|
| 1474 |
+
"token_acc": 0.9419200747371421
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 2.6293103448275863,
|
| 1478 |
+
"grad_norm": 0.5492708086967468,
|
| 1479 |
+
"learning_rate": 4.985745969154981e-06,
|
| 1480 |
+
"loss": 0.15549759864807128,
|
| 1481 |
+
"step": 915,
|
| 1482 |
+
"token_acc": 0.9435671525736303
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 2.6436781609195403,
|
| 1486 |
+
"grad_norm": 0.5328662991523743,
|
| 1487 |
+
"learning_rate": 4.938234020377141e-06,
|
| 1488 |
+
"loss": 0.162940514087677,
|
| 1489 |
+
"step": 920,
|
| 1490 |
+
"token_acc": 0.9412549685243446
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 2.6580459770114944,
|
| 1494 |
+
"grad_norm": 0.5540962815284729,
|
| 1495 |
+
"learning_rate": 4.890727649106156e-06,
|
| 1496 |
+
"loss": 0.16096749305725097,
|
| 1497 |
+
"step": 925,
|
| 1498 |
+
"token_acc": 0.9422050509171753
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 2.6724137931034484,
|
| 1502 |
+
"grad_norm": 0.5807366967201233,
|
| 1503 |
+
"learning_rate": 4.843231145197267e-06,
|
| 1504 |
+
"loss": 0.1637776732444763,
|
| 1505 |
+
"step": 930,
|
| 1506 |
+
"token_acc": 0.9410530542305114
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 2.6867816091954024,
|
| 1510 |
+
"grad_norm": 0.5675597786903381,
|
| 1511 |
+
"learning_rate": 4.79574879761468e-06,
|
| 1512 |
+
"loss": 0.15756003856658934,
|
| 1513 |
+
"step": 935,
|
| 1514 |
+
"token_acc": 0.9426537129121203
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 2.7011494252873565,
|
| 1518 |
+
"grad_norm": 0.5579917430877686,
|
| 1519 |
+
"learning_rate": 4.7482848940442875e-06,
|
| 1520 |
+
"loss": 0.15803995132446289,
|
| 1521 |
+
"step": 940,
|
| 1522 |
+
"token_acc": 0.9427388146214977
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 2.7155172413793105,
|
| 1526 |
+
"grad_norm": 0.5666033625602722,
|
| 1527 |
+
"learning_rate": 4.700843720506464e-06,
|
| 1528 |
+
"loss": 0.15797820091247558,
|
| 1529 |
+
"step": 945,
|
| 1530 |
+
"token_acc": 0.9427172320327115
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 2.7298850574712645,
|
| 1534 |
+
"grad_norm": 0.5249812006950378,
|
| 1535 |
+
"learning_rate": 4.653429560969058e-06,
|
| 1536 |
+
"loss": 0.15697550773620605,
|
| 1537 |
+
"step": 950,
|
| 1538 |
+
"token_acc": 0.9426309863257727
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 2.7442528735632186,
|
| 1542 |
+
"grad_norm": 0.5508291125297546,
|
| 1543 |
+
"learning_rate": 4.606046696960531e-06,
|
| 1544 |
+
"loss": 0.1596212148666382,
|
| 1545 |
+
"step": 955,
|
| 1546 |
+
"token_acc": 0.9421995105801065
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 2.7586206896551726,
|
| 1550 |
+
"grad_norm": 0.5431759357452393,
|
| 1551 |
+
"learning_rate": 4.558699407183339e-06,
|
| 1552 |
+
"loss": 0.1613481879234314,
|
| 1553 |
+
"step": 960,
|
| 1554 |
+
"token_acc": 0.9418076752369321
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 2.7729885057471266,
|
| 1558 |
+
"grad_norm": 0.5558294057846069,
|
| 1559 |
+
"learning_rate": 4.511391967127563e-06,
|
| 1560 |
+
"loss": 0.16271686553955078,
|
| 1561 |
+
"step": 965,
|
| 1562 |
+
"token_acc": 0.9415121493610068
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 2.7873563218390807,
|
| 1566 |
+
"grad_norm": 0.5539355874061584,
|
| 1567 |
+
"learning_rate": 4.464128648684829e-06,
|
| 1568 |
+
"loss": 0.1587162733078003,
|
| 1569 |
+
"step": 970,
|
| 1570 |
+
"token_acc": 0.9426954815163374
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 2.8017241379310347,
|
| 1574 |
+
"grad_norm": 0.5470131039619446,
|
| 1575 |
+
"learning_rate": 4.4169137197625544e-06,
|
| 1576 |
+
"loss": 0.1590419292449951,
|
| 1577 |
+
"step": 975,
|
| 1578 |
+
"token_acc": 0.9426755454615614
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 2.8160919540229887,
|
| 1582 |
+
"grad_norm": 0.5776523351669312,
|
| 1583 |
+
"learning_rate": 4.369751443898554e-06,
|
| 1584 |
+
"loss": 0.16058001518249512,
|
| 1585 |
+
"step": 980,
|
| 1586 |
+
"token_acc": 0.9419302011022055
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 2.8304597701149428,
|
| 1590 |
+
"grad_norm": 0.5623759627342224,
|
| 1591 |
+
"learning_rate": 4.3226460798760335e-06,
|
| 1592 |
+
"loss": 0.1585533857345581,
|
| 1593 |
+
"step": 985,
|
| 1594 |
+
"token_acc": 0.9425908221797323
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 2.844827586206897,
|
| 1598 |
+
"grad_norm": 0.578778088092804,
|
| 1599 |
+
"learning_rate": 4.275601881339028e-06,
|
| 1600 |
+
"loss": 0.1597745656967163,
|
| 1601 |
+
"step": 990,
|
| 1602 |
+
"token_acc": 0.9424683325257839
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 2.859195402298851,
|
| 1606 |
+
"grad_norm": 0.508884608745575,
|
| 1607 |
+
"learning_rate": 4.2286230964082855e-06,
|
| 1608 |
+
"loss": 0.1611253261566162,
|
| 1609 |
+
"step": 995,
|
| 1610 |
+
"token_acc": 0.9417449510184148
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 2.873563218390805,
|
| 1614 |
+
"grad_norm": 0.5472661852836609,
|
| 1615 |
+
"learning_rate": 4.181713967297673e-06,
|
| 1616 |
+
"loss": 0.16162338256835937,
|
| 1617 |
+
"step": 1000,
|
| 1618 |
+
"token_acc": 0.9418222242808838
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 2.887931034482759,
|
| 1622 |
+
"grad_norm": 0.5404829978942871,
|
| 1623 |
+
"learning_rate": 4.134878729931084e-06,
|
| 1624 |
+
"loss": 0.15965355634689332,
|
| 1625 |
+
"step": 1005,
|
| 1626 |
+
"token_acc": 0.9421647947746333
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 2.9022988505747125,
|
| 1630 |
+
"grad_norm": 0.546474277973175,
|
| 1631 |
+
"learning_rate": 4.088121613559946e-06,
|
| 1632 |
+
"loss": 0.15857319831848143,
|
| 1633 |
+
"step": 1010,
|
| 1634 |
+
"token_acc": 0.9425641636936944
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 2.9166666666666665,
|
| 1638 |
+
"grad_norm": 0.5491721034049988,
|
| 1639 |
+
"learning_rate": 4.041446840381309e-06,
|
| 1640 |
+
"loss": 0.1571238160133362,
|
| 1641 |
+
"step": 1015,
|
| 1642 |
+
"token_acc": 0.9431960282145565
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"epoch": 2.9310344827586206,
|
| 1646 |
+
"grad_norm": 0.5627540349960327,
|
| 1647 |
+
"learning_rate": 3.994858625156582e-06,
|
| 1648 |
+
"loss": 0.16332995891571045,
|
| 1649 |
+
"step": 1020,
|
| 1650 |
+
"token_acc": 0.9413830317117715
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 2.9454022988505746,
|
| 1654 |
+
"grad_norm": 0.5357237458229065,
|
| 1655 |
+
"learning_rate": 3.948361174830936e-06,
|
| 1656 |
+
"loss": 0.15722098350524902,
|
| 1657 |
+
"step": 1025,
|
| 1658 |
+
"token_acc": 0.9429645655712238
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 2.9597701149425286,
|
| 1662 |
+
"grad_norm": 0.5359401702880859,
|
| 1663 |
+
"learning_rate": 3.901958688153418e-06,
|
| 1664 |
+
"loss": 0.1601097822189331,
|
| 1665 |
+
"step": 1030,
|
| 1666 |
+
"token_acc": 0.9418747990887364
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 2.9741379310344827,
|
| 1670 |
+
"grad_norm": 0.5464105010032654,
|
| 1671 |
+
"learning_rate": 3.855655355297789e-06,
|
| 1672 |
+
"loss": 0.15313236713409423,
|
| 1673 |
+
"step": 1035,
|
| 1674 |
+
"token_acc": 0.9442072969386959
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 2.9885057471264367,
|
| 1678 |
+
"grad_norm": 0.5644527077674866,
|
| 1679 |
+
"learning_rate": 3.809455357484168e-06,
|
| 1680 |
+
"loss": 0.16143866777420043,
|
| 1681 |
+
"step": 1040,
|
| 1682 |
+
"token_acc": 0.9420071092559834
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 3.0028735632183907,
|
| 1686 |
+
"grad_norm": 0.5285263657569885,
|
| 1687 |
+
"learning_rate": 3.763362866601447e-06,
|
| 1688 |
+
"loss": 0.15135617256164552,
|
| 1689 |
+
"step": 1045,
|
| 1690 |
+
"token_acc": 0.9449246755929412
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 3.0172413793103448,
|
| 1694 |
+
"grad_norm": 0.4897845685482025,
|
| 1695 |
+
"learning_rate": 3.7173820448305754e-06,
|
| 1696 |
+
"loss": 0.11718956232070923,
|
| 1697 |
+
"step": 1050,
|
| 1698 |
+
"token_acc": 0.959481731955255
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 3.031609195402299,
|
| 1702 |
+
"grad_norm": 0.5987873077392578,
|
| 1703 |
+
"learning_rate": 3.671517044268715e-06,
|
| 1704 |
+
"loss": 0.11166307926177979,
|
| 1705 |
+
"step": 1055,
|
| 1706 |
+
"token_acc": 0.9600167651667093
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 3.045977011494253,
|
| 1710 |
+
"grad_norm": 0.5278794169425964,
|
| 1711 |
+
"learning_rate": 3.6257720065542987e-06,
|
| 1712 |
+
"loss": 0.1127786636352539,
|
| 1713 |
+
"step": 1060,
|
| 1714 |
+
"token_acc": 0.9593323057132718
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 3.060344827586207,
|
| 1718 |
+
"grad_norm": 0.5107921957969666,
|
| 1719 |
+
"learning_rate": 3.5801510624930365e-06,
|
| 1720 |
+
"loss": 0.1061087965965271,
|
| 1721 |
+
"step": 1065,
|
| 1722 |
+
"token_acc": 0.9620770316163334
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 3.074712643678161,
|
| 1726 |
+
"grad_norm": 0.5065659880638123,
|
| 1727 |
+
"learning_rate": 3.5346583316849027e-06,
|
| 1728 |
+
"loss": 0.10998306274414063,
|
| 1729 |
+
"step": 1070,
|
| 1730 |
+
"token_acc": 0.9607816463319588
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 3.089080459770115,
|
| 1734 |
+
"grad_norm": 0.5085805654525757,
|
| 1735 |
+
"learning_rate": 3.489297922152136e-06,
|
| 1736 |
+
"loss": 0.10954939126968384,
|
| 1737 |
+
"step": 1075,
|
| 1738 |
+
"token_acc": 0.9605736594874236
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 3.103448275862069,
|
| 1742 |
+
"grad_norm": 0.5702577233314514,
|
| 1743 |
+
"learning_rate": 3.4440739299682844e-06,
|
| 1744 |
+
"loss": 0.10895823240280152,
|
| 1745 |
+
"step": 1080,
|
| 1746 |
+
"token_acc": 0.9604872715914415
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 3.117816091954023,
|
| 1750 |
+
"grad_norm": 0.5174564719200134,
|
| 1751 |
+
"learning_rate": 3.3989904388883155e-06,
|
| 1752 |
+
"loss": 0.11295514106750489,
|
| 1753 |
+
"step": 1085,
|
| 1754 |
+
"token_acc": 0.9594747043946243
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 3.132183908045977,
|
| 1758 |
+
"grad_norm": 0.512843132019043,
|
| 1759 |
+
"learning_rate": 3.3540515199798653e-06,
|
| 1760 |
+
"loss": 0.10992898941040039,
|
| 1761 |
+
"step": 1090,
|
| 1762 |
+
"token_acc": 0.960507777933026
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 3.146551724137931,
|
| 1766 |
+
"grad_norm": 0.49290990829467773,
|
| 1767 |
+
"learning_rate": 3.3092612312556077e-06,
|
| 1768 |
+
"loss": 0.10842022895812989,
|
| 1769 |
+
"step": 1095,
|
| 1770 |
+
"token_acc": 0.9609840982724474
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 3.160919540229885,
|
| 1774 |
+
"grad_norm": 0.5270472764968872,
|
| 1775 |
+
"learning_rate": 3.264623617306817e-06,
|
| 1776 |
+
"loss": 0.10932838916778564,
|
| 1777 |
+
"step": 1100,
|
| 1778 |
+
"token_acc": 0.9603938160814222
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 3.175287356321839,
|
| 1782 |
+
"grad_norm": 0.5300927758216858,
|
| 1783 |
+
"learning_rate": 3.220142708938144e-06,
|
| 1784 |
+
"loss": 0.11059236526489258,
|
| 1785 |
+
"step": 1105,
|
| 1786 |
+
"token_acc": 0.960232914783978
|
| 1787 |
+
},
|
| 1788 |
+
{
|
| 1789 |
+
"epoch": 3.189655172413793,
|
| 1790 |
+
"grad_norm": 0.5519798994064331,
|
| 1791 |
+
"learning_rate": 3.1758225228036233e-06,
|
| 1792 |
+
"loss": 0.10988420248031616,
|
| 1793 |
+
"step": 1110,
|
| 1794 |
+
"token_acc": 0.9601467152547007
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 3.204022988505747,
|
| 1798 |
+
"grad_norm": 0.503612220287323,
|
| 1799 |
+
"learning_rate": 3.13166706104397e-06,
|
| 1800 |
+
"loss": 0.1070522665977478,
|
| 1801 |
+
"step": 1115,
|
| 1802 |
+
"token_acc": 0.9615549485185964
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 3.218390804597701,
|
| 1806 |
+
"grad_norm": 0.5259993076324463,
|
| 1807 |
+
"learning_rate": 3.0876803109251853e-06,
|
| 1808 |
+
"loss": 0.11044783592224121,
|
| 1809 |
+
"step": 1120,
|
| 1810 |
+
"token_acc": 0.9602514344316645
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"epoch": 3.2327586206896552,
|
| 1814 |
+
"grad_norm": 0.5334917902946472,
|
| 1815 |
+
"learning_rate": 3.043866244478505e-06,
|
| 1816 |
+
"loss": 0.11164047718048095,
|
| 1817 |
+
"step": 1125,
|
| 1818 |
+
"token_acc": 0.9597306917897919
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 3.2471264367816093,
|
| 1822 |
+
"grad_norm": 0.5120248198509216,
|
| 1823 |
+
"learning_rate": 3.0002288181417148e-06,
|
| 1824 |
+
"loss": 0.11079723834991455,
|
| 1825 |
+
"step": 1130,
|
| 1826 |
+
"token_acc": 0.9597157535890911
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 3.2614942528735633,
|
| 1830 |
+
"grad_norm": 0.5175688862800598,
|
| 1831 |
+
"learning_rate": 2.9567719724018974e-06,
|
| 1832 |
+
"loss": 0.1095381498336792,
|
| 1833 |
+
"step": 1135,
|
| 1834 |
+
"token_acc": 0.9603776708395413
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 3.2758620689655173,
|
| 1838 |
+
"grad_norm": 0.5364386439323425,
|
| 1839 |
+
"learning_rate": 2.913499631439582e-06,
|
| 1840 |
+
"loss": 0.11385544538497924,
|
| 1841 |
+
"step": 1140,
|
| 1842 |
+
"token_acc": 0.959080389977889
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 3.2902298850574714,
|
| 1846 |
+
"grad_norm": 0.5315613150596619,
|
| 1847 |
+
"learning_rate": 2.8704157027744097e-06,
|
| 1848 |
+
"loss": 0.10774133205413819,
|
| 1849 |
+
"step": 1145,
|
| 1850 |
+
"token_acc": 0.9608326559294428
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 3.3045977011494254,
|
| 1854 |
+
"grad_norm": 0.4946730136871338,
|
| 1855 |
+
"learning_rate": 2.827524076912267e-06,
|
| 1856 |
+
"loss": 0.10972250699996948,
|
| 1857 |
+
"step": 1150,
|
| 1858 |
+
"token_acc": 0.9603479656939942
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 3.3189655172413794,
|
| 1862 |
+
"grad_norm": 0.5144687294960022,
|
| 1863 |
+
"learning_rate": 2.784828626993976e-06,
|
| 1864 |
+
"loss": 0.1102259874343872,
|
| 1865 |
+
"step": 1155,
|
| 1866 |
+
"token_acc": 0.9601369651469436
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 3.3333333333333335,
|
| 1870 |
+
"grad_norm": 0.5160213112831116,
|
| 1871 |
+
"learning_rate": 2.7423332084455543e-06,
|
| 1872 |
+
"loss": 0.11218315362930298,
|
| 1873 |
+
"step": 1160,
|
| 1874 |
+
"token_acc": 0.9595977940943304
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 3.3477011494252875,
|
| 1878 |
+
"grad_norm": 0.5422830581665039,
|
| 1879 |
+
"learning_rate": 2.7000416586300516e-06,
|
| 1880 |
+
"loss": 0.11074899435043335,
|
| 1881 |
+
"step": 1165,
|
| 1882 |
+
"token_acc": 0.9601372202414836
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"epoch": 3.3620689655172415,
|
| 1886 |
+
"grad_norm": 0.5436260104179382,
|
| 1887 |
+
"learning_rate": 2.65795779650105e-06,
|
| 1888 |
+
"loss": 0.11167094707489014,
|
| 1889 |
+
"step": 1170,
|
| 1890 |
+
"token_acc": 0.9597704434511221
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 3.3764367816091956,
|
| 1894 |
+
"grad_norm": 0.5317823886871338,
|
| 1895 |
+
"learning_rate": 2.6160854222577992e-06,
|
| 1896 |
+
"loss": 0.11267951726913453,
|
| 1897 |
+
"step": 1175,
|
| 1898 |
+
"token_acc": 0.9592586091295477
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 3.3908045977011496,
|
| 1902 |
+
"grad_norm": 0.5103031396865845,
|
| 1903 |
+
"learning_rate": 2.5744283170020566e-06,
|
| 1904 |
+
"loss": 0.10874271392822266,
|
| 1905 |
+
"step": 1180,
|
| 1906 |
+
"token_acc": 0.9604443435037474
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 3.405172413793103,
|
| 1910 |
+
"grad_norm": 0.4954359233379364,
|
| 1911 |
+
"learning_rate": 2.532990242396664e-06,
|
| 1912 |
+
"loss": 0.11055747270584107,
|
| 1913 |
+
"step": 1185,
|
| 1914 |
+
"token_acc": 0.9599720950966685
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 3.4195402298850572,
|
| 1918 |
+
"grad_norm": 0.5554635524749756,
|
| 1919 |
+
"learning_rate": 2.4917749403258482e-06,
|
| 1920 |
+
"loss": 0.11123825311660766,
|
| 1921 |
+
"step": 1190,
|
| 1922 |
+
"token_acc": 0.9598281478153431
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 3.4339080459770113,
|
| 1926 |
+
"grad_norm": 0.5267956852912903,
|
| 1927 |
+
"learning_rate": 2.4507861325573384e-06,
|
| 1928 |
+
"loss": 0.11294952630996705,
|
| 1929 |
+
"step": 1195,
|
| 1930 |
+
"token_acc": 0.9595975609398073
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 3.4482758620689653,
|
| 1934 |
+
"grad_norm": 0.5136481523513794,
|
| 1935 |
+
"learning_rate": 2.41002752040629e-06,
|
| 1936 |
+
"loss": 0.10954599380493164,
|
| 1937 |
+
"step": 1200,
|
| 1938 |
+
"token_acc": 0.9604799088666979
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 3.4626436781609193,
|
| 1942 |
+
"grad_norm": 0.5163865685462952,
|
| 1943 |
+
"learning_rate": 2.3695027844010416e-06,
|
| 1944 |
+
"loss": 0.1089853048324585,
|
| 1945 |
+
"step": 1205,
|
| 1946 |
+
"token_acc": 0.9606652616554601
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 3.4770114942528734,
|
| 1950 |
+
"grad_norm": 0.5261132121086121,
|
| 1951 |
+
"learning_rate": 2.3292155839507767e-06,
|
| 1952 |
+
"loss": 0.11200270652770997,
|
| 1953 |
+
"step": 1210,
|
| 1954 |
+
"token_acc": 0.9598040583043245
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 3.4913793103448274,
|
| 1958 |
+
"grad_norm": 0.5254859328269958,
|
| 1959 |
+
"learning_rate": 2.2891695570150637e-06,
|
| 1960 |
+
"loss": 0.11190475225448608,
|
| 1961 |
+
"step": 1215,
|
| 1962 |
+
"token_acc": 0.9595285829926624
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 3.5057471264367814,
|
| 1966 |
+
"grad_norm": 0.5383979082107544,
|
| 1967 |
+
"learning_rate": 2.2493683197753498e-06,
|
| 1968 |
+
"loss": 0.11255807876586914,
|
| 1969 |
+
"step": 1220,
|
| 1970 |
+
"token_acc": 0.9591381953870757
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 3.5201149425287355,
|
| 1974 |
+
"grad_norm": 0.5105087161064148,
|
| 1975 |
+
"learning_rate": 2.2098154663084204e-06,
|
| 1976 |
+
"loss": 0.11062219142913818,
|
| 1977 |
+
"step": 1225,
|
| 1978 |
+
"token_acc": 0.9600996288337565
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 3.5344827586206895,
|
| 1982 |
+
"grad_norm": 0.5059808492660522,
|
| 1983 |
+
"learning_rate": 2.1705145682618506e-06,
|
| 1984 |
+
"loss": 0.11152106523513794,
|
| 1985 |
+
"step": 1230,
|
| 1986 |
+
"token_acc": 0.9599567491646626
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 3.5488505747126435,
|
| 1990 |
+
"grad_norm": 0.5309309959411621,
|
| 1991 |
+
"learning_rate": 2.1314691745314836e-06,
|
| 1992 |
+
"loss": 0.10833891630172729,
|
| 1993 |
+
"step": 1235,
|
| 1994 |
+
"token_acc": 0.9608956001041395
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 3.5632183908045976,
|
| 1998 |
+
"grad_norm": 0.5250213146209717,
|
| 1999 |
+
"learning_rate": 2.0926828109409587e-06,
|
| 2000 |
+
"loss": 0.10981615781784057,
|
| 2001 |
+
"step": 1240,
|
| 2002 |
+
"token_acc": 0.9603095846626934
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 3.5775862068965516,
|
| 2006 |
+
"grad_norm": 0.5215520858764648,
|
| 2007 |
+
"learning_rate": 2.0541589799233313e-06,
|
| 2008 |
+
"loss": 0.10947526693344116,
|
| 2009 |
+
"step": 1245,
|
| 2010 |
+
"token_acc": 0.9607612043950218
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 3.5919540229885056,
|
| 2014 |
+
"grad_norm": 0.5618249773979187,
|
| 2015 |
+
"learning_rate": 2.0159011602048007e-06,
|
| 2016 |
+
"loss": 0.110862135887146,
|
| 2017 |
+
"step": 1250,
|
| 2018 |
+
"token_acc": 0.9600785435223347
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 3.6063218390804597,
|
| 2022 |
+
"grad_norm": 0.5231663584709167,
|
| 2023 |
+
"learning_rate": 1.977912806490578e-06,
|
| 2024 |
+
"loss": 0.11059050559997559,
|
| 2025 |
+
"step": 1255,
|
| 2026 |
+
"token_acc": 0.9598605523622261
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 3.6206896551724137,
|
| 2030 |
+
"grad_norm": 0.531852126121521,
|
| 2031 |
+
"learning_rate": 1.940197349152923e-06,
|
| 2032 |
+
"loss": 0.10940660238265991,
|
| 2033 |
+
"step": 1260,
|
| 2034 |
+
"token_acc": 0.960699336760164
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 3.6350574712643677,
|
| 2038 |
+
"grad_norm": 0.5311183333396912,
|
| 2039 |
+
"learning_rate": 1.9027581939213852e-06,
|
| 2040 |
+
"loss": 0.11252405643463134,
|
| 2041 |
+
"step": 1265,
|
| 2042 |
+
"token_acc": 0.959284159247536
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 3.6494252873563218,
|
| 2046 |
+
"grad_norm": 0.5065079927444458,
|
| 2047 |
+
"learning_rate": 1.8655987215752574e-06,
|
| 2048 |
+
"loss": 0.1130037784576416,
|
| 2049 |
+
"step": 1270,
|
| 2050 |
+
"token_acc": 0.9595236946583082
|
| 2051 |
+
},
|
| 2052 |
+
{
|
| 2053 |
+
"epoch": 3.663793103448276,
|
| 2054 |
+
"grad_norm": 0.5160691142082214,
|
| 2055 |
+
"learning_rate": 1.8287222876382914e-06,
|
| 2056 |
+
"loss": 0.11050925254821778,
|
| 2057 |
+
"step": 1275,
|
| 2058 |
+
"token_acc": 0.9606644023005056
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 3.67816091954023,
|
| 2062 |
+
"grad_norm": 0.5017895102500916,
|
| 2063 |
+
"learning_rate": 1.792132222075692e-06,
|
| 2064 |
+
"loss": 0.10700697898864746,
|
| 2065 |
+
"step": 1280,
|
| 2066 |
+
"token_acc": 0.9610938904060672
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 3.692528735632184,
|
| 2070 |
+
"grad_norm": 0.4997377097606659,
|
| 2071 |
+
"learning_rate": 1.7558318289934185e-06,
|
| 2072 |
+
"loss": 0.10991954803466797,
|
| 2073 |
+
"step": 1285,
|
| 2074 |
+
"token_acc": 0.9607771018732166
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 3.706896551724138,
|
| 2078 |
+
"grad_norm": 0.5202011466026306,
|
| 2079 |
+
"learning_rate": 1.7198243863398273e-06,
|
| 2080 |
+
"loss": 0.10314581394195557,
|
| 2081 |
+
"step": 1290,
|
| 2082 |
+
"token_acc": 0.9623357399288797
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 3.721264367816092,
|
| 2086 |
+
"grad_norm": 0.5741920471191406,
|
| 2087 |
+
"learning_rate": 1.6841131456096615e-06,
|
| 2088 |
+
"loss": 0.10936017036437988,
|
| 2089 |
+
"step": 1295,
|
| 2090 |
+
"token_acc": 0.9609912885683957
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 3.735632183908046,
|
| 2094 |
+
"grad_norm": 0.5348463654518127,
|
| 2095 |
+
"learning_rate": 1.6487013315504484e-06,
|
| 2096 |
+
"loss": 0.1124497413635254,
|
| 2097 |
+
"step": 1300,
|
| 2098 |
+
"token_acc": 0.9589595608543546
|
| 2099 |
+
},
|
| 2100 |
+
{
|
| 2101 |
+
"epoch": 3.75,
|
| 2102 |
+
"grad_norm": 0.48192116618156433,
|
| 2103 |
+
"learning_rate": 1.6135921418712959e-06,
|
| 2104 |
+
"loss": 0.11058835983276367,
|
| 2105 |
+
"step": 1305,
|
| 2106 |
+
"token_acc": 0.9603752430817338
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 3.764367816091954,
|
| 2110 |
+
"grad_norm": 0.5294514894485474,
|
| 2111 |
+
"learning_rate": 1.578788746954137e-06,
|
| 2112 |
+
"loss": 0.11072230339050293,
|
| 2113 |
+
"step": 1310,
|
| 2114 |
+
"token_acc": 0.9600368827663238
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 3.778735632183908,
|
| 2118 |
+
"grad_norm": 0.5361485481262207,
|
| 2119 |
+
"learning_rate": 1.5442942895674523e-06,
|
| 2120 |
+
"loss": 0.1092519998550415,
|
| 2121 |
+
"step": 1315,
|
| 2122 |
+
"token_acc": 0.9608080487369277
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 3.793103448275862,
|
| 2126 |
+
"grad_norm": 0.513168215751648,
|
| 2127 |
+
"learning_rate": 1.5101118845824631e-06,
|
| 2128 |
+
"loss": 0.10951132774353027,
|
| 2129 |
+
"step": 1320,
|
| 2130 |
+
"token_acc": 0.9610710766793532
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 3.807471264367816,
|
| 2134 |
+
"grad_norm": 0.5398263931274414,
|
| 2135 |
+
"learning_rate": 1.4762446186918627e-06,
|
| 2136 |
+
"loss": 0.1096685767173767,
|
| 2137 |
+
"step": 1325,
|
| 2138 |
+
"token_acc": 0.9604541348326774
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 3.82183908045977,
|
| 2142 |
+
"grad_norm": 0.4786757528781891,
|
| 2143 |
+
"learning_rate": 1.4426955501310901e-06,
|
| 2144 |
+
"loss": 0.1095815658569336,
|
| 2145 |
+
"step": 1330,
|
| 2146 |
+
"token_acc": 0.9606942978624907
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 3.836206896551724,
|
| 2150 |
+
"grad_norm": 0.5471305251121521,
|
| 2151 |
+
"learning_rate": 1.4094677084021592e-06,
|
| 2152 |
+
"loss": 0.11180591583251953,
|
| 2153 |
+
"step": 1335,
|
| 2154 |
+
"token_acc": 0.9597833146365944
|
| 2155 |
+
},
|
| 2156 |
+
{
|
| 2157 |
+
"epoch": 3.8505747126436782,
|
| 2158 |
+
"grad_norm": 0.5561555624008179,
|
| 2159 |
+
"learning_rate": 1.376564094000104e-06,
|
| 2160 |
+
"loss": 0.10869028568267822,
|
| 2161 |
+
"step": 1340,
|
| 2162 |
+
"token_acc": 0.9609312833525311
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 3.8649425287356323,
|
| 2166 |
+
"grad_norm": 0.5201286673545837,
|
| 2167 |
+
"learning_rate": 1.3439876781420237e-06,
|
| 2168 |
+
"loss": 0.10850247144699096,
|
| 2169 |
+
"step": 1345,
|
| 2170 |
+
"token_acc": 0.9610563150905735
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 3.8793103448275863,
|
| 2174 |
+
"grad_norm": 0.4803552031517029,
|
| 2175 |
+
"learning_rate": 1.3117414024987823e-06,
|
| 2176 |
+
"loss": 0.1074610710144043,
|
| 2177 |
+
"step": 1350,
|
| 2178 |
+
"token_acc": 0.9612982779391964
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"epoch": 3.8936781609195403,
|
| 2182 |
+
"grad_norm": 0.5793502330780029,
|
| 2183 |
+
"learning_rate": 1.2798281789293766e-06,
|
| 2184 |
+
"loss": 0.10727846622467041,
|
| 2185 |
+
"step": 1355,
|
| 2186 |
+
"token_acc": 0.961043908943709
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 3.9080459770114944,
|
| 2190 |
+
"grad_norm": 0.4976837635040283,
|
| 2191 |
+
"learning_rate": 1.2482508892179884e-06,
|
| 2192 |
+
"loss": 0.10663462877273559,
|
| 2193 |
+
"step": 1360,
|
| 2194 |
+
"token_acc": 0.9616364786973849
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 3.9224137931034484,
|
| 2198 |
+
"grad_norm": 0.5056930184364319,
|
| 2199 |
+
"learning_rate": 1.2170123848137649e-06,
|
| 2200 |
+
"loss": 0.10944747924804688,
|
| 2201 |
+
"step": 1365,
|
| 2202 |
+
"token_acc": 0.9610281269079349
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 3.9367816091954024,
|
| 2206 |
+
"grad_norm": 0.5023649334907532,
|
| 2207 |
+
"learning_rate": 1.186115486573326e-06,
|
| 2208 |
+
"loss": 0.11062502861022949,
|
| 2209 |
+
"step": 1370,
|
| 2210 |
+
"token_acc": 0.960362025522687
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 3.9511494252873565,
|
| 2214 |
+
"grad_norm": 0.510715663433075,
|
| 2215 |
+
"learning_rate": 1.1555629845060363e-06,
|
| 2216 |
+
"loss": 0.11008999347686768,
|
| 2217 |
+
"step": 1375,
|
| 2218 |
+
"token_acc": 0.9607457258324054
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 3.9655172413793105,
|
| 2222 |
+
"grad_norm": 0.544761598110199,
|
| 2223 |
+
"learning_rate": 1.125357637522072e-06,
|
| 2224 |
+
"loss": 0.10898411273956299,
|
| 2225 |
+
"step": 1380,
|
| 2226 |
+
"token_acc": 0.9611561145762342
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 3.9798850574712645,
|
| 2230 |
+
"grad_norm": 0.5076886415481567,
|
| 2231 |
+
"learning_rate": 1.0955021731832855e-06,
|
| 2232 |
+
"loss": 0.10860610008239746,
|
| 2233 |
+
"step": 1385,
|
| 2234 |
+
"token_acc": 0.9611211496293943
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 3.9942528735632186,
|
| 2238 |
+
"grad_norm": 0.4891972243785858,
|
| 2239 |
+
"learning_rate": 1.0659992874569053e-06,
|
| 2240 |
+
"loss": 0.1102171540260315,
|
| 2241 |
+
"step": 1390,
|
| 2242 |
+
"token_acc": 0.9605603039197617
|
| 2243 |
+
}
|
| 2244 |
+
],
|
| 2245 |
+
"logging_steps": 5,
|
| 2246 |
+
"max_steps": 1740,
|
| 2247 |
+
"num_input_tokens_seen": 0,
|
| 2248 |
+
"num_train_epochs": 5,
|
| 2249 |
+
"save_steps": 500,
|
| 2250 |
+
"stateful_callbacks": {
|
| 2251 |
+
"TrainerControl": {
|
| 2252 |
+
"args": {
|
| 2253 |
+
"should_epoch_stop": false,
|
| 2254 |
+
"should_evaluate": false,
|
| 2255 |
+
"should_log": false,
|
| 2256 |
+
"should_save": true,
|
| 2257 |
+
"should_training_stop": false
|
| 2258 |
+
},
|
| 2259 |
+
"attributes": {}
|
| 2260 |
+
}
|
| 2261 |
+
},
|
| 2262 |
+
"total_flos": 3.366696470441047e+19,
|
| 2263 |
+
"train_batch_size": 1,
|
| 2264 |
+
"trial_name": null,
|
| 2265 |
+
"trial_params": null
|
| 2266 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1998eec44c39427025bbf596bdfed83a55b5e5592e9baf8186a4d46bebf175d3
|
| 3 |
+
size 8785
|
video_preprocessor_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"do_center_crop": null,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_pad": null,
|
| 10 |
+
"do_rescale": true,
|
| 11 |
+
"do_resize": true,
|
| 12 |
+
"do_sample_frames": false,
|
| 13 |
+
"fps": null,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.48145466,
|
| 16 |
+
0.4578275,
|
| 17 |
+
0.40821073
|
| 18 |
+
],
|
| 19 |
+
"image_std": [
|
| 20 |
+
0.26862954,
|
| 21 |
+
0.26130258,
|
| 22 |
+
0.27577711
|
| 23 |
+
],
|
| 24 |
+
"input_data_format": null,
|
| 25 |
+
"max_frames": 768,
|
| 26 |
+
"max_pixels": 12845056,
|
| 27 |
+
"merge_size": 2,
|
| 28 |
+
"min_frames": 4,
|
| 29 |
+
"min_pixels": 3136,
|
| 30 |
+
"num_frames": null,
|
| 31 |
+
"patch_size": 14,
|
| 32 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
| 33 |
+
"resample": 3,
|
| 34 |
+
"rescale_factor": 0.00392156862745098,
|
| 35 |
+
"size": {
|
| 36 |
+
"longest_edge": 12845056,
|
| 37 |
+
"shortest_edge": 3136
|
| 38 |
+
},
|
| 39 |
+
"size_divisor": null,
|
| 40 |
+
"temporal_patch_size": 2,
|
| 41 |
+
"video_metadata": null,
|
| 42 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
| 43 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|