Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +3 -0
- v0-20260118-111123/args.json +393 -0
- v0-20260118-111123/checkpoint-400/added_tokens.json +24 -0
- v0-20260118-111123/checkpoint-400/args.json +393 -0
- v0-20260118-111123/checkpoint-400/chat_template.jinja +54 -0
- v0-20260118-111123/checkpoint-400/config.json +58 -0
- v0-20260118-111123/checkpoint-400/generation_config.json +14 -0
- v0-20260118-111123/checkpoint-400/merges.txt +0 -0
- v0-20260118-111123/checkpoint-400/model-00001-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-400/model-00002-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-400/model-00003-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-400/model-00004-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-400/model.safetensors.index.json +347 -0
- v0-20260118-111123/checkpoint-400/special_tokens_map.json +31 -0
- v0-20260118-111123/checkpoint-400/tokenizer.json +3 -0
- v0-20260118-111123/checkpoint-400/tokenizer_config.json +207 -0
- v0-20260118-111123/checkpoint-400/trainer_state.json +3234 -0
- v0-20260118-111123/checkpoint-400/training_args.bin +3 -0
- v0-20260118-111123/checkpoint-400/vocab.json +0 -0
- v0-20260118-111123/checkpoint-800/added_tokens.json +24 -0
- v0-20260118-111123/checkpoint-800/args.json +393 -0
- v0-20260118-111123/checkpoint-800/chat_template.jinja +54 -0
- v0-20260118-111123/checkpoint-800/config.json +58 -0
- v0-20260118-111123/checkpoint-800/generation_config.json +14 -0
- v0-20260118-111123/checkpoint-800/merges.txt +0 -0
- v0-20260118-111123/checkpoint-800/model-00001-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-800/model-00002-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-800/model-00003-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-800/model-00004-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-800/model.safetensors.index.json +347 -0
- v0-20260118-111123/checkpoint-800/special_tokens_map.json +31 -0
- v0-20260118-111123/checkpoint-800/tokenizer.json +3 -0
- v0-20260118-111123/checkpoint-800/tokenizer_config.json +207 -0
- v0-20260118-111123/checkpoint-800/trainer_state.json +0 -0
- v0-20260118-111123/checkpoint-800/training_args.bin +3 -0
- v0-20260118-111123/checkpoint-800/vocab.json +0 -0
- v0-20260118-111123/checkpoint-808/added_tokens.json +24 -0
- v0-20260118-111123/checkpoint-808/args.json +393 -0
- v0-20260118-111123/checkpoint-808/chat_template.jinja +54 -0
- v0-20260118-111123/checkpoint-808/config.json +58 -0
- v0-20260118-111123/checkpoint-808/generation_config.json +14 -0
- v0-20260118-111123/checkpoint-808/merges.txt +0 -0
- v0-20260118-111123/checkpoint-808/model-00001-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-808/model-00002-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-808/model-00003-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-808/model-00004-of-00004.safetensors +3 -0
- v0-20260118-111123/checkpoint-808/model.safetensors.index.json +347 -0
- v0-20260118-111123/checkpoint-808/special_tokens_map.json +31 -0
- v0-20260118-111123/checkpoint-808/tokenizer.json +3 -0
- v0-20260118-111123/checkpoint-808/tokenizer_config.json +207 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,6 @@ 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 |
+
v0-20260118-111123/checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
v0-20260118-111123/checkpoint-800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
v0-20260118-111123/checkpoint-808/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
v0-20260118-111123/args.json
ADDED
|
@@ -0,0 +1,393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 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": 0.05,
|
| 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": 2.0,
|
| 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": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 1,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "steps",
|
| 38 |
+
"save_steps": 400.0,
|
| 39 |
+
"save_total_limit": null,
|
| 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 |
+
"bf16": true,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": "nccl",
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": null,
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 400.0,
|
| 64 |
+
"dataloader_num_workers": 8,
|
| 65 |
+
"dataloader_prefetch_factor": null,
|
| 66 |
+
"past_index": -1,
|
| 67 |
+
"run_name": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 68 |
+
"disable_tqdm": null,
|
| 69 |
+
"remove_unused_columns": false,
|
| 70 |
+
"label_names": null,
|
| 71 |
+
"load_best_model_at_end": false,
|
| 72 |
+
"metric_for_best_model": "loss",
|
| 73 |
+
"greater_is_better": false,
|
| 74 |
+
"ignore_data_skip": false,
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": null,
|
| 78 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 79 |
+
"accelerator_config": {
|
| 80 |
+
"dispatch_batches": false
|
| 81 |
+
},
|
| 82 |
+
"parallelism_config": null,
|
| 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": 3,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"offload_param": {
|
| 102 |
+
"device": "none",
|
| 103 |
+
"pin_memory": true
|
| 104 |
+
},
|
| 105 |
+
"overlap_comm": false,
|
| 106 |
+
"contiguous_gradients": true,
|
| 107 |
+
"sub_group_size": 1000000000.0,
|
| 108 |
+
"reduce_bucket_size": "auto",
|
| 109 |
+
"zero_quantized_weights": false,
|
| 110 |
+
"zero_quantized_gradients": false,
|
| 111 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 112 |
+
"stage3_param_persistence_threshold": "auto",
|
| 113 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 114 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 115 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 116 |
+
},
|
| 117 |
+
"gradient_accumulation_steps": "auto",
|
| 118 |
+
"gradient_clipping": "auto",
|
| 119 |
+
"steps_per_print": 2000,
|
| 120 |
+
"train_batch_size": "auto",
|
| 121 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 122 |
+
"wall_clock_breakdown": false
|
| 123 |
+
},
|
| 124 |
+
"label_smoothing_factor": 0.0,
|
| 125 |
+
"optim": "adamw_torch_fused",
|
| 126 |
+
"optim_args": null,
|
| 127 |
+
"adafactor": false,
|
| 128 |
+
"group_by_length": false,
|
| 129 |
+
"length_column_name": "length",
|
| 130 |
+
"report_to": [
|
| 131 |
+
"none"
|
| 132 |
+
],
|
| 133 |
+
"project": "huggingface",
|
| 134 |
+
"trackio_space_id": "trackio",
|
| 135 |
+
"ddp_find_unused_parameters": null,
|
| 136 |
+
"ddp_bucket_cap_mb": null,
|
| 137 |
+
"ddp_broadcast_buffers": null,
|
| 138 |
+
"dataloader_pin_memory": true,
|
| 139 |
+
"dataloader_persistent_workers": false,
|
| 140 |
+
"skip_memory_metrics": true,
|
| 141 |
+
"use_legacy_prediction_loop": false,
|
| 142 |
+
"push_to_hub": false,
|
| 143 |
+
"resume_from_checkpoint": null,
|
| 144 |
+
"hub_model_id": null,
|
| 145 |
+
"hub_strategy": "every_save",
|
| 146 |
+
"hub_token": null,
|
| 147 |
+
"hub_private_repo": null,
|
| 148 |
+
"hub_always_push": false,
|
| 149 |
+
"hub_revision": null,
|
| 150 |
+
"gradient_checkpointing": true,
|
| 151 |
+
"gradient_checkpointing_kwargs": null,
|
| 152 |
+
"include_inputs_for_metrics": false,
|
| 153 |
+
"include_for_metrics": [],
|
| 154 |
+
"eval_do_concat_batches": true,
|
| 155 |
+
"fp16_backend": "auto",
|
| 156 |
+
"push_to_hub_model_id": null,
|
| 157 |
+
"push_to_hub_organization": null,
|
| 158 |
+
"push_to_hub_token": null,
|
| 159 |
+
"mp_parameters": "",
|
| 160 |
+
"auto_find_batch_size": false,
|
| 161 |
+
"full_determinism": false,
|
| 162 |
+
"torchdynamo": null,
|
| 163 |
+
"ray_scope": "last",
|
| 164 |
+
"ddp_timeout": 18000000,
|
| 165 |
+
"torch_compile": false,
|
| 166 |
+
"torch_compile_backend": null,
|
| 167 |
+
"torch_compile_mode": null,
|
| 168 |
+
"include_tokens_per_second": false,
|
| 169 |
+
"include_num_input_tokens_seen": false,
|
| 170 |
+
"neftune_noise_alpha": null,
|
| 171 |
+
"optim_target_modules": null,
|
| 172 |
+
"batch_eval_metrics": false,
|
| 173 |
+
"eval_on_start": false,
|
| 174 |
+
"use_liger_kernel": false,
|
| 175 |
+
"liger_kernel_config": null,
|
| 176 |
+
"eval_use_gather_object": false,
|
| 177 |
+
"average_tokens_across_devices": true,
|
| 178 |
+
"sortish_sampler": false,
|
| 179 |
+
"predict_with_generate": false,
|
| 180 |
+
"generation_max_length": null,
|
| 181 |
+
"generation_num_beams": null,
|
| 182 |
+
"generation_config": null,
|
| 183 |
+
"tuner_backend": "peft",
|
| 184 |
+
"vit_gradient_checkpointing": null,
|
| 185 |
+
"router_aux_loss_coef": 0.0,
|
| 186 |
+
"enable_dft_loss": false,
|
| 187 |
+
"enable_channel_loss": false,
|
| 188 |
+
"check_model": true,
|
| 189 |
+
"acc_strategy": "token",
|
| 190 |
+
"train_dataloader_shuffle": true,
|
| 191 |
+
"max_epochs": null,
|
| 192 |
+
"aligner_lr": null,
|
| 193 |
+
"vit_lr": null,
|
| 194 |
+
"use_logits_to_keep": null,
|
| 195 |
+
"ds3_gather_for_generation": true,
|
| 196 |
+
"resume_only_model": false,
|
| 197 |
+
"optimizer": null,
|
| 198 |
+
"loss_type": null,
|
| 199 |
+
"metric": null,
|
| 200 |
+
"eval_use_evalscope": false,
|
| 201 |
+
"eval_dataset": [],
|
| 202 |
+
"eval_dataset_args": null,
|
| 203 |
+
"eval_limit": null,
|
| 204 |
+
"eval_generation_config": null,
|
| 205 |
+
"extra_eval_args": null,
|
| 206 |
+
"use_flash_ckpt": false,
|
| 207 |
+
"use_ray": false,
|
| 208 |
+
"ray_exp_name": null,
|
| 209 |
+
"device_groups": null,
|
| 210 |
+
"model": "ubowang/fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 211 |
+
"model_type": "qwen2_5",
|
| 212 |
+
"model_revision": null,
|
| 213 |
+
"task_type": "causal_lm",
|
| 214 |
+
"torch_dtype": "bfloat16",
|
| 215 |
+
"attn_impl": "flash_attn",
|
| 216 |
+
"new_special_tokens": [],
|
| 217 |
+
"num_labels": null,
|
| 218 |
+
"problem_type": null,
|
| 219 |
+
"rope_scaling": null,
|
| 220 |
+
"device_map": null,
|
| 221 |
+
"max_memory": {},
|
| 222 |
+
"max_model_len": null,
|
| 223 |
+
"local_repo_path": null,
|
| 224 |
+
"init_strategy": null,
|
| 225 |
+
"template": "qwen2_5",
|
| 226 |
+
"system": null,
|
| 227 |
+
"max_length": 32768,
|
| 228 |
+
"truncation_strategy": "delete",
|
| 229 |
+
"max_pixels": null,
|
| 230 |
+
"agent_template": null,
|
| 231 |
+
"norm_bbox": null,
|
| 232 |
+
"use_chat_template": true,
|
| 233 |
+
"padding_side": "right",
|
| 234 |
+
"padding_free": false,
|
| 235 |
+
"loss_scale": "default",
|
| 236 |
+
"sequence_parallel_size": 1,
|
| 237 |
+
"template_backend": "swift",
|
| 238 |
+
"response_prefix": null,
|
| 239 |
+
"enable_thinking": null,
|
| 240 |
+
"add_non_thinking_prefix": true,
|
| 241 |
+
"dataset": [
|
| 242 |
+
"/data2/yubo/datasets/R2EGym-Data/R2EGym-SFT-Trajectories.jsonl"
|
| 243 |
+
],
|
| 244 |
+
"val_dataset": [],
|
| 245 |
+
"cached_dataset": [],
|
| 246 |
+
"cached_val_dataset": [],
|
| 247 |
+
"split_dataset_ratio": 0.0,
|
| 248 |
+
"dataset_num_proc": 8,
|
| 249 |
+
"load_from_cache_file": false,
|
| 250 |
+
"dataset_shuffle": true,
|
| 251 |
+
"val_dataset_shuffle": false,
|
| 252 |
+
"streaming": false,
|
| 253 |
+
"interleave_prob": null,
|
| 254 |
+
"stopping_strategy": "first_exhausted",
|
| 255 |
+
"shuffle_buffer_size": 1000,
|
| 256 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 257 |
+
"columns": {},
|
| 258 |
+
"strict": false,
|
| 259 |
+
"model_name": null,
|
| 260 |
+
"model_author": null,
|
| 261 |
+
"custom_dataset_info": [],
|
| 262 |
+
"quant_method": null,
|
| 263 |
+
"quant_bits": null,
|
| 264 |
+
"hqq_axis": null,
|
| 265 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 266 |
+
"bnb_4bit_quant_type": "nf4",
|
| 267 |
+
"bnb_4bit_use_double_quant": true,
|
| 268 |
+
"bnb_4bit_quant_storage": null,
|
| 269 |
+
"max_new_tokens": 64,
|
| 270 |
+
"temperature": 0.0,
|
| 271 |
+
"top_k": null,
|
| 272 |
+
"top_p": null,
|
| 273 |
+
"repetition_penalty": null,
|
| 274 |
+
"num_beams": 1,
|
| 275 |
+
"stream": false,
|
| 276 |
+
"stop_words": [],
|
| 277 |
+
"logprobs": false,
|
| 278 |
+
"top_logprobs": null,
|
| 279 |
+
"structured_outputs_regex": null,
|
| 280 |
+
"ckpt_dir": null,
|
| 281 |
+
"lora_modules": [],
|
| 282 |
+
"train_type": "full",
|
| 283 |
+
"adapters": [],
|
| 284 |
+
"external_plugins": [],
|
| 285 |
+
"model_kwargs": {},
|
| 286 |
+
"load_args": false,
|
| 287 |
+
"load_data_args": false,
|
| 288 |
+
"packing": false,
|
| 289 |
+
"packing_length": null,
|
| 290 |
+
"packing_num_proc": 1,
|
| 291 |
+
"lazy_tokenize": false,
|
| 292 |
+
"custom_register_path": [],
|
| 293 |
+
"use_hf": true,
|
| 294 |
+
"ignore_args_error": false,
|
| 295 |
+
"use_swift_lora": false,
|
| 296 |
+
"freeze_parameters": [],
|
| 297 |
+
"freeze_parameters_regex": null,
|
| 298 |
+
"freeze_parameters_ratio": 0.0,
|
| 299 |
+
"trainable_parameters": [],
|
| 300 |
+
"trainable_parameters_regex": null,
|
| 301 |
+
"freeze_llm": false,
|
| 302 |
+
"freeze_vit": false,
|
| 303 |
+
"freeze_aligner": false,
|
| 304 |
+
"target_modules": [
|
| 305 |
+
"all-linear"
|
| 306 |
+
],
|
| 307 |
+
"target_regex": null,
|
| 308 |
+
"target_parameters": null,
|
| 309 |
+
"modules_to_save": [],
|
| 310 |
+
"lora_rank": 8,
|
| 311 |
+
"lora_alpha": 32,
|
| 312 |
+
"lora_dropout": 0.05,
|
| 313 |
+
"lora_bias": "none",
|
| 314 |
+
"lora_dtype": null,
|
| 315 |
+
"lorap_lr_ratio": null,
|
| 316 |
+
"use_rslora": false,
|
| 317 |
+
"use_dora": false,
|
| 318 |
+
"lora_ga_batch_size": 2,
|
| 319 |
+
"lora_ga_iters": 2,
|
| 320 |
+
"lora_ga_max_length": 1024,
|
| 321 |
+
"lora_ga_direction": "ArB2r",
|
| 322 |
+
"lora_ga_scale": "stable",
|
| 323 |
+
"lora_ga_stable_gamma": 16,
|
| 324 |
+
"init_weights": true,
|
| 325 |
+
"fourier_n_frequency": 2000,
|
| 326 |
+
"fourier_scaling": 300.0,
|
| 327 |
+
"boft_block_size": 4,
|
| 328 |
+
"boft_block_num": 0,
|
| 329 |
+
"boft_n_butterfly_factor": 1,
|
| 330 |
+
"boft_dropout": 0.0,
|
| 331 |
+
"vera_rank": 256,
|
| 332 |
+
"vera_projection_prng_key": 0,
|
| 333 |
+
"vera_dropout": 0.0,
|
| 334 |
+
"vera_d_initial": 0.1,
|
| 335 |
+
"adapter_act": "gelu",
|
| 336 |
+
"adapter_length": 128,
|
| 337 |
+
"use_galore": false,
|
| 338 |
+
"galore_target_modules": null,
|
| 339 |
+
"galore_rank": 128,
|
| 340 |
+
"galore_update_proj_gap": 50,
|
| 341 |
+
"galore_scale": 1.0,
|
| 342 |
+
"galore_proj_type": "std",
|
| 343 |
+
"galore_optim_per_parameter": false,
|
| 344 |
+
"galore_with_embedding": false,
|
| 345 |
+
"galore_quantization": false,
|
| 346 |
+
"galore_proj_quant": false,
|
| 347 |
+
"galore_proj_bits": 4,
|
| 348 |
+
"galore_proj_group_size": 256,
|
| 349 |
+
"galore_cos_threshold": 0.4,
|
| 350 |
+
"galore_gamma_proj": 2,
|
| 351 |
+
"galore_queue_size": 5,
|
| 352 |
+
"adalora_target_r": 8,
|
| 353 |
+
"adalora_init_r": 12,
|
| 354 |
+
"adalora_tinit": 0,
|
| 355 |
+
"adalora_tfinal": 0,
|
| 356 |
+
"adalora_deltaT": 1,
|
| 357 |
+
"adalora_beta1": 0.85,
|
| 358 |
+
"adalora_beta2": 0.85,
|
| 359 |
+
"adalora_orth_reg_weight": 0.5,
|
| 360 |
+
"llamapro_num_new_blocks": 4,
|
| 361 |
+
"llamapro_num_groups": null,
|
| 362 |
+
"lisa_activated_layers": 0,
|
| 363 |
+
"lisa_step_interval": 20,
|
| 364 |
+
"reft_layer_key": null,
|
| 365 |
+
"reft_layers": null,
|
| 366 |
+
"reft_rank": 4,
|
| 367 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 368 |
+
"reft_args": null,
|
| 369 |
+
"swanlab_token": null,
|
| 370 |
+
"swanlab_project": "ms-swift",
|
| 371 |
+
"swanlab_workspace": null,
|
| 372 |
+
"swanlab_exp_name": null,
|
| 373 |
+
"swanlab_notification_method": null,
|
| 374 |
+
"swanlab_webhook_url": null,
|
| 375 |
+
"swanlab_secret": null,
|
| 376 |
+
"swanlab_mode": "cloud",
|
| 377 |
+
"add_version": true,
|
| 378 |
+
"create_checkpoint_symlink": false,
|
| 379 |
+
"zero_hpz_partition_size": null,
|
| 380 |
+
"deepspeed_autotp_size": null,
|
| 381 |
+
"early_stop_interval": null,
|
| 382 |
+
"rank": 0,
|
| 383 |
+
"global_world_size": 4,
|
| 384 |
+
"local_world_size": 4,
|
| 385 |
+
"model_suffix": "fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 386 |
+
"model_info": "ModelInfo(model_type='qwen2_5', model_dir='/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e', torch_dtype=torch.bfloat16, max_model_len=32768, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=False, config=None, task_type='causal_lm', num_labels=None)",
|
| 387 |
+
"model_meta": "ModelMeta(model_type='qwen2_5', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct', hf_model_id='Qwen/Qwen2.5-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct', hf_model_id='Qwen/Qwen2.5-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct', hf_model_id='Qwen/Qwen2.5-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct', hf_model_id='Qwen/Qwen2.5-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct', hf_model_id='Qwen/Qwen2.5-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B', hf_model_id='Qwen/Qwen2.5-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B', hf_model_id='Qwen/Qwen2.5-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B', hf_model_id='Qwen/Qwen2.5-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B', hf_model_id='Qwen/Qwen2.5-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B', hf_model_id='Qwen/Qwen2.5-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B', hf_model_id='Qwen/Qwen2.5-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B', hf_model_id='Qwen/Qwen2.5-72B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B', hf_model_id='Qwen/Qwen2.5-Coder-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B', hf_model_id='Qwen/Qwen2.5-Coder-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B', hf_model_id='Qwen/Qwen2.5-Coder-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B', hf_model_id='Qwen/Qwen2.5-Coder-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B', hf_model_id='Qwen/Qwen2.5-Coder-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B', hf_model_id='Qwen/Qwen2.5-Coder-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=['coding']), ModelGroup(models=[Model(ms_model_id='moonshotai/Kimi-Dev-72B', hf_model_id='moonshotai/Kimi-Dev-72B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5', get_function=<function get_model_tokenizer_with_flash_attn at 0x7ff22745e5c0>, model_arch=ModelKeys(arch_name='llama', embedding='model.embed_tokens', module_list='model.layers', lm_head='lm_head', q_proj='model.layers.{}.self_attn.q_proj', k_proj='model.layers.{}.self_attn.k_proj', v_proj='model.layers.{}.self_attn.v_proj', o_proj='model.layers.{}.self_attn.o_proj', attention='model.layers.{}.self_attn', mlp='model.layers.{}.mlp', down_proj='model.layers.{}.mlp.down_proj', qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None), architectures=['Qwen2ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.37'], tags=[])",
|
| 388 |
+
"model_dir": "/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e",
|
| 389 |
+
"_val_dataset_exists": [],
|
| 390 |
+
"hub": "<class 'swift.hub.hub.HFHub'>",
|
| 391 |
+
"evaluation_strategy": "steps",
|
| 392 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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=0.05, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=2.0, 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='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=400, save_total_limit=None, 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, 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='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=400.0, dataloader_num_workers=8, dataloader_prefetch_factor=2, past_index=-1, run_name='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=[], project='huggingface', trackio_space_id='trackio', 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, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='full', local_repo_path=None, galore_config=None, task_type='causal_lm', problem_type=None)"
|
| 393 |
+
}
|
v0-20260118-111123/checkpoint-400/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 |
+
}
|
v0-20260118-111123/checkpoint-400/args.json
ADDED
|
@@ -0,0 +1,393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 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": 0.05,
|
| 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": 2.0,
|
| 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": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 1,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "steps",
|
| 38 |
+
"save_steps": 400.0,
|
| 39 |
+
"save_total_limit": null,
|
| 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 |
+
"bf16": true,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": "nccl",
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": null,
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 400.0,
|
| 64 |
+
"dataloader_num_workers": 8,
|
| 65 |
+
"dataloader_prefetch_factor": null,
|
| 66 |
+
"past_index": -1,
|
| 67 |
+
"run_name": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 68 |
+
"disable_tqdm": null,
|
| 69 |
+
"remove_unused_columns": false,
|
| 70 |
+
"label_names": null,
|
| 71 |
+
"load_best_model_at_end": false,
|
| 72 |
+
"metric_for_best_model": "loss",
|
| 73 |
+
"greater_is_better": false,
|
| 74 |
+
"ignore_data_skip": false,
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": null,
|
| 78 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 79 |
+
"accelerator_config": {
|
| 80 |
+
"dispatch_batches": false
|
| 81 |
+
},
|
| 82 |
+
"parallelism_config": null,
|
| 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": 3,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"offload_param": {
|
| 102 |
+
"device": "none",
|
| 103 |
+
"pin_memory": true
|
| 104 |
+
},
|
| 105 |
+
"overlap_comm": false,
|
| 106 |
+
"contiguous_gradients": true,
|
| 107 |
+
"sub_group_size": 1000000000.0,
|
| 108 |
+
"reduce_bucket_size": "auto",
|
| 109 |
+
"zero_quantized_weights": false,
|
| 110 |
+
"zero_quantized_gradients": false,
|
| 111 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 112 |
+
"stage3_param_persistence_threshold": "auto",
|
| 113 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 114 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 115 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 116 |
+
},
|
| 117 |
+
"gradient_accumulation_steps": "auto",
|
| 118 |
+
"gradient_clipping": "auto",
|
| 119 |
+
"steps_per_print": 2000,
|
| 120 |
+
"train_batch_size": "auto",
|
| 121 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 122 |
+
"wall_clock_breakdown": false
|
| 123 |
+
},
|
| 124 |
+
"label_smoothing_factor": 0.0,
|
| 125 |
+
"optim": "adamw_torch_fused",
|
| 126 |
+
"optim_args": null,
|
| 127 |
+
"adafactor": false,
|
| 128 |
+
"group_by_length": false,
|
| 129 |
+
"length_column_name": "length",
|
| 130 |
+
"report_to": [
|
| 131 |
+
"none"
|
| 132 |
+
],
|
| 133 |
+
"project": "huggingface",
|
| 134 |
+
"trackio_space_id": "trackio",
|
| 135 |
+
"ddp_find_unused_parameters": null,
|
| 136 |
+
"ddp_bucket_cap_mb": null,
|
| 137 |
+
"ddp_broadcast_buffers": null,
|
| 138 |
+
"dataloader_pin_memory": true,
|
| 139 |
+
"dataloader_persistent_workers": false,
|
| 140 |
+
"skip_memory_metrics": true,
|
| 141 |
+
"use_legacy_prediction_loop": false,
|
| 142 |
+
"push_to_hub": false,
|
| 143 |
+
"resume_from_checkpoint": null,
|
| 144 |
+
"hub_model_id": null,
|
| 145 |
+
"hub_strategy": "every_save",
|
| 146 |
+
"hub_token": null,
|
| 147 |
+
"hub_private_repo": null,
|
| 148 |
+
"hub_always_push": false,
|
| 149 |
+
"hub_revision": null,
|
| 150 |
+
"gradient_checkpointing": true,
|
| 151 |
+
"gradient_checkpointing_kwargs": null,
|
| 152 |
+
"include_inputs_for_metrics": false,
|
| 153 |
+
"include_for_metrics": [],
|
| 154 |
+
"eval_do_concat_batches": true,
|
| 155 |
+
"fp16_backend": "auto",
|
| 156 |
+
"push_to_hub_model_id": null,
|
| 157 |
+
"push_to_hub_organization": null,
|
| 158 |
+
"push_to_hub_token": null,
|
| 159 |
+
"mp_parameters": "",
|
| 160 |
+
"auto_find_batch_size": false,
|
| 161 |
+
"full_determinism": false,
|
| 162 |
+
"torchdynamo": null,
|
| 163 |
+
"ray_scope": "last",
|
| 164 |
+
"ddp_timeout": 18000000,
|
| 165 |
+
"torch_compile": false,
|
| 166 |
+
"torch_compile_backend": null,
|
| 167 |
+
"torch_compile_mode": null,
|
| 168 |
+
"include_tokens_per_second": false,
|
| 169 |
+
"include_num_input_tokens_seen": false,
|
| 170 |
+
"neftune_noise_alpha": null,
|
| 171 |
+
"optim_target_modules": null,
|
| 172 |
+
"batch_eval_metrics": false,
|
| 173 |
+
"eval_on_start": false,
|
| 174 |
+
"use_liger_kernel": false,
|
| 175 |
+
"liger_kernel_config": null,
|
| 176 |
+
"eval_use_gather_object": false,
|
| 177 |
+
"average_tokens_across_devices": true,
|
| 178 |
+
"sortish_sampler": false,
|
| 179 |
+
"predict_with_generate": false,
|
| 180 |
+
"generation_max_length": null,
|
| 181 |
+
"generation_num_beams": null,
|
| 182 |
+
"generation_config": null,
|
| 183 |
+
"tuner_backend": "peft",
|
| 184 |
+
"vit_gradient_checkpointing": null,
|
| 185 |
+
"router_aux_loss_coef": 0.0,
|
| 186 |
+
"enable_dft_loss": false,
|
| 187 |
+
"enable_channel_loss": false,
|
| 188 |
+
"check_model": true,
|
| 189 |
+
"acc_strategy": "token",
|
| 190 |
+
"train_dataloader_shuffle": true,
|
| 191 |
+
"max_epochs": null,
|
| 192 |
+
"aligner_lr": null,
|
| 193 |
+
"vit_lr": null,
|
| 194 |
+
"use_logits_to_keep": null,
|
| 195 |
+
"ds3_gather_for_generation": true,
|
| 196 |
+
"resume_only_model": false,
|
| 197 |
+
"optimizer": null,
|
| 198 |
+
"loss_type": null,
|
| 199 |
+
"metric": null,
|
| 200 |
+
"eval_use_evalscope": false,
|
| 201 |
+
"eval_dataset": [],
|
| 202 |
+
"eval_dataset_args": null,
|
| 203 |
+
"eval_limit": null,
|
| 204 |
+
"eval_generation_config": null,
|
| 205 |
+
"extra_eval_args": null,
|
| 206 |
+
"use_flash_ckpt": false,
|
| 207 |
+
"use_ray": false,
|
| 208 |
+
"ray_exp_name": null,
|
| 209 |
+
"device_groups": null,
|
| 210 |
+
"model": "ubowang/fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 211 |
+
"model_type": "qwen2_5",
|
| 212 |
+
"model_revision": null,
|
| 213 |
+
"task_type": "causal_lm",
|
| 214 |
+
"torch_dtype": "bfloat16",
|
| 215 |
+
"attn_impl": "flash_attn",
|
| 216 |
+
"new_special_tokens": [],
|
| 217 |
+
"num_labels": null,
|
| 218 |
+
"problem_type": null,
|
| 219 |
+
"rope_scaling": null,
|
| 220 |
+
"device_map": null,
|
| 221 |
+
"max_memory": {},
|
| 222 |
+
"max_model_len": null,
|
| 223 |
+
"local_repo_path": null,
|
| 224 |
+
"init_strategy": null,
|
| 225 |
+
"template": "qwen2_5",
|
| 226 |
+
"system": null,
|
| 227 |
+
"max_length": 32768,
|
| 228 |
+
"truncation_strategy": "delete",
|
| 229 |
+
"max_pixels": null,
|
| 230 |
+
"agent_template": null,
|
| 231 |
+
"norm_bbox": null,
|
| 232 |
+
"use_chat_template": true,
|
| 233 |
+
"padding_side": "right",
|
| 234 |
+
"padding_free": false,
|
| 235 |
+
"loss_scale": "default",
|
| 236 |
+
"sequence_parallel_size": 1,
|
| 237 |
+
"template_backend": "swift",
|
| 238 |
+
"response_prefix": null,
|
| 239 |
+
"enable_thinking": null,
|
| 240 |
+
"add_non_thinking_prefix": true,
|
| 241 |
+
"dataset": [
|
| 242 |
+
"/data2/yubo/datasets/R2EGym-Data/R2EGym-SFT-Trajectories.jsonl"
|
| 243 |
+
],
|
| 244 |
+
"val_dataset": [],
|
| 245 |
+
"cached_dataset": [],
|
| 246 |
+
"cached_val_dataset": [],
|
| 247 |
+
"split_dataset_ratio": 0.0,
|
| 248 |
+
"dataset_num_proc": 8,
|
| 249 |
+
"load_from_cache_file": false,
|
| 250 |
+
"dataset_shuffle": true,
|
| 251 |
+
"val_dataset_shuffle": false,
|
| 252 |
+
"streaming": false,
|
| 253 |
+
"interleave_prob": null,
|
| 254 |
+
"stopping_strategy": "first_exhausted",
|
| 255 |
+
"shuffle_buffer_size": 1000,
|
| 256 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 257 |
+
"columns": {},
|
| 258 |
+
"strict": false,
|
| 259 |
+
"model_name": null,
|
| 260 |
+
"model_author": null,
|
| 261 |
+
"custom_dataset_info": [],
|
| 262 |
+
"quant_method": null,
|
| 263 |
+
"quant_bits": null,
|
| 264 |
+
"hqq_axis": null,
|
| 265 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 266 |
+
"bnb_4bit_quant_type": "nf4",
|
| 267 |
+
"bnb_4bit_use_double_quant": true,
|
| 268 |
+
"bnb_4bit_quant_storage": null,
|
| 269 |
+
"max_new_tokens": 64,
|
| 270 |
+
"temperature": 0.0,
|
| 271 |
+
"top_k": null,
|
| 272 |
+
"top_p": null,
|
| 273 |
+
"repetition_penalty": null,
|
| 274 |
+
"num_beams": 1,
|
| 275 |
+
"stream": false,
|
| 276 |
+
"stop_words": [],
|
| 277 |
+
"logprobs": false,
|
| 278 |
+
"top_logprobs": null,
|
| 279 |
+
"structured_outputs_regex": null,
|
| 280 |
+
"ckpt_dir": null,
|
| 281 |
+
"lora_modules": [],
|
| 282 |
+
"train_type": "full",
|
| 283 |
+
"adapters": [],
|
| 284 |
+
"external_plugins": [],
|
| 285 |
+
"model_kwargs": {},
|
| 286 |
+
"load_args": false,
|
| 287 |
+
"load_data_args": false,
|
| 288 |
+
"packing": false,
|
| 289 |
+
"packing_length": null,
|
| 290 |
+
"packing_num_proc": 1,
|
| 291 |
+
"lazy_tokenize": false,
|
| 292 |
+
"custom_register_path": [],
|
| 293 |
+
"use_hf": true,
|
| 294 |
+
"ignore_args_error": false,
|
| 295 |
+
"use_swift_lora": false,
|
| 296 |
+
"freeze_parameters": [],
|
| 297 |
+
"freeze_parameters_regex": null,
|
| 298 |
+
"freeze_parameters_ratio": 0.0,
|
| 299 |
+
"trainable_parameters": [],
|
| 300 |
+
"trainable_parameters_regex": null,
|
| 301 |
+
"freeze_llm": false,
|
| 302 |
+
"freeze_vit": false,
|
| 303 |
+
"freeze_aligner": false,
|
| 304 |
+
"target_modules": [
|
| 305 |
+
"all-linear"
|
| 306 |
+
],
|
| 307 |
+
"target_regex": null,
|
| 308 |
+
"target_parameters": null,
|
| 309 |
+
"modules_to_save": [],
|
| 310 |
+
"lora_rank": 8,
|
| 311 |
+
"lora_alpha": 32,
|
| 312 |
+
"lora_dropout": 0.05,
|
| 313 |
+
"lora_bias": "none",
|
| 314 |
+
"lora_dtype": null,
|
| 315 |
+
"lorap_lr_ratio": null,
|
| 316 |
+
"use_rslora": false,
|
| 317 |
+
"use_dora": false,
|
| 318 |
+
"lora_ga_batch_size": 2,
|
| 319 |
+
"lora_ga_iters": 2,
|
| 320 |
+
"lora_ga_max_length": 1024,
|
| 321 |
+
"lora_ga_direction": "ArB2r",
|
| 322 |
+
"lora_ga_scale": "stable",
|
| 323 |
+
"lora_ga_stable_gamma": 16,
|
| 324 |
+
"init_weights": true,
|
| 325 |
+
"fourier_n_frequency": 2000,
|
| 326 |
+
"fourier_scaling": 300.0,
|
| 327 |
+
"boft_block_size": 4,
|
| 328 |
+
"boft_block_num": 0,
|
| 329 |
+
"boft_n_butterfly_factor": 1,
|
| 330 |
+
"boft_dropout": 0.0,
|
| 331 |
+
"vera_rank": 256,
|
| 332 |
+
"vera_projection_prng_key": 0,
|
| 333 |
+
"vera_dropout": 0.0,
|
| 334 |
+
"vera_d_initial": 0.1,
|
| 335 |
+
"adapter_act": "gelu",
|
| 336 |
+
"adapter_length": 128,
|
| 337 |
+
"use_galore": false,
|
| 338 |
+
"galore_target_modules": null,
|
| 339 |
+
"galore_rank": 128,
|
| 340 |
+
"galore_update_proj_gap": 50,
|
| 341 |
+
"galore_scale": 1.0,
|
| 342 |
+
"galore_proj_type": "std",
|
| 343 |
+
"galore_optim_per_parameter": false,
|
| 344 |
+
"galore_with_embedding": false,
|
| 345 |
+
"galore_quantization": false,
|
| 346 |
+
"galore_proj_quant": false,
|
| 347 |
+
"galore_proj_bits": 4,
|
| 348 |
+
"galore_proj_group_size": 256,
|
| 349 |
+
"galore_cos_threshold": 0.4,
|
| 350 |
+
"galore_gamma_proj": 2,
|
| 351 |
+
"galore_queue_size": 5,
|
| 352 |
+
"adalora_target_r": 8,
|
| 353 |
+
"adalora_init_r": 12,
|
| 354 |
+
"adalora_tinit": 0,
|
| 355 |
+
"adalora_tfinal": 0,
|
| 356 |
+
"adalora_deltaT": 1,
|
| 357 |
+
"adalora_beta1": 0.85,
|
| 358 |
+
"adalora_beta2": 0.85,
|
| 359 |
+
"adalora_orth_reg_weight": 0.5,
|
| 360 |
+
"llamapro_num_new_blocks": 4,
|
| 361 |
+
"llamapro_num_groups": null,
|
| 362 |
+
"lisa_activated_layers": 0,
|
| 363 |
+
"lisa_step_interval": 20,
|
| 364 |
+
"reft_layer_key": null,
|
| 365 |
+
"reft_layers": null,
|
| 366 |
+
"reft_rank": 4,
|
| 367 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 368 |
+
"reft_args": null,
|
| 369 |
+
"swanlab_token": null,
|
| 370 |
+
"swanlab_project": "ms-swift",
|
| 371 |
+
"swanlab_workspace": null,
|
| 372 |
+
"swanlab_exp_name": null,
|
| 373 |
+
"swanlab_notification_method": null,
|
| 374 |
+
"swanlab_webhook_url": null,
|
| 375 |
+
"swanlab_secret": null,
|
| 376 |
+
"swanlab_mode": "cloud",
|
| 377 |
+
"add_version": true,
|
| 378 |
+
"create_checkpoint_symlink": false,
|
| 379 |
+
"zero_hpz_partition_size": null,
|
| 380 |
+
"deepspeed_autotp_size": null,
|
| 381 |
+
"early_stop_interval": null,
|
| 382 |
+
"rank": 0,
|
| 383 |
+
"global_world_size": 4,
|
| 384 |
+
"local_world_size": 4,
|
| 385 |
+
"model_suffix": "fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 386 |
+
"model_info": "ModelInfo(model_type='qwen2_5', model_dir='/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e', torch_dtype=torch.bfloat16, max_model_len=32768, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=False, config=None, task_type='causal_lm', num_labels=None)",
|
| 387 |
+
"model_meta": "ModelMeta(model_type='qwen2_5', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct', hf_model_id='Qwen/Qwen2.5-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct', hf_model_id='Qwen/Qwen2.5-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct', hf_model_id='Qwen/Qwen2.5-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct', hf_model_id='Qwen/Qwen2.5-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct', hf_model_id='Qwen/Qwen2.5-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B', hf_model_id='Qwen/Qwen2.5-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B', hf_model_id='Qwen/Qwen2.5-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B', hf_model_id='Qwen/Qwen2.5-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B', hf_model_id='Qwen/Qwen2.5-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B', hf_model_id='Qwen/Qwen2.5-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B', hf_model_id='Qwen/Qwen2.5-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B', hf_model_id='Qwen/Qwen2.5-72B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B', hf_model_id='Qwen/Qwen2.5-Coder-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B', hf_model_id='Qwen/Qwen2.5-Coder-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B', hf_model_id='Qwen/Qwen2.5-Coder-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B', hf_model_id='Qwen/Qwen2.5-Coder-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B', hf_model_id='Qwen/Qwen2.5-Coder-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B', hf_model_id='Qwen/Qwen2.5-Coder-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=['coding']), ModelGroup(models=[Model(ms_model_id='moonshotai/Kimi-Dev-72B', hf_model_id='moonshotai/Kimi-Dev-72B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5', get_function=<function get_model_tokenizer_with_flash_attn at 0x7ff22745e5c0>, model_arch=ModelKeys(arch_name='llama', embedding='model.embed_tokens', module_list='model.layers', lm_head='lm_head', q_proj='model.layers.{}.self_attn.q_proj', k_proj='model.layers.{}.self_attn.k_proj', v_proj='model.layers.{}.self_attn.v_proj', o_proj='model.layers.{}.self_attn.o_proj', attention='model.layers.{}.self_attn', mlp='model.layers.{}.mlp', down_proj='model.layers.{}.mlp.down_proj', qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None), architectures=['Qwen2ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.37'], tags=[])",
|
| 388 |
+
"model_dir": "/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e",
|
| 389 |
+
"_val_dataset_exists": [],
|
| 390 |
+
"hub": "<class 'swift.hub.hub.HFHub'>",
|
| 391 |
+
"evaluation_strategy": "steps",
|
| 392 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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=0.05, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=2.0, 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='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=400, save_total_limit=None, 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, 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='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=400.0, dataloader_num_workers=8, dataloader_prefetch_factor=2, past_index=-1, run_name='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=[], project='huggingface', trackio_space_id='trackio', 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, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='full', local_repo_path=None, galore_config=None, task_type='causal_lm', problem_type=None)"
|
| 393 |
+
}
|
v0-20260118-111123/checkpoint-400/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
v0-20260118-111123/checkpoint-400/config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"layer_types": [
|
| 13 |
+
"full_attention",
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention"
|
| 41 |
+
],
|
| 42 |
+
"max_position_embeddings": 32768,
|
| 43 |
+
"max_window_layers": 28,
|
| 44 |
+
"model_type": "qwen2",
|
| 45 |
+
"num_attention_heads": 28,
|
| 46 |
+
"num_hidden_layers": 28,
|
| 47 |
+
"num_key_value_heads": 4,
|
| 48 |
+
"pad_token_id": 151643,
|
| 49 |
+
"rms_norm_eps": 1e-06,
|
| 50 |
+
"rope_scaling": null,
|
| 51 |
+
"rope_theta": 1000000.0,
|
| 52 |
+
"sliding_window": null,
|
| 53 |
+
"tie_word_embeddings": false,
|
| 54 |
+
"transformers_version": "4.57.6",
|
| 55 |
+
"use_cache": false,
|
| 56 |
+
"use_sliding_window": false,
|
| 57 |
+
"vocab_size": 152064
|
| 58 |
+
}
|
v0-20260118-111123/checkpoint-400/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.57.6"
|
| 14 |
+
}
|
v0-20260118-111123/checkpoint-400/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-400/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ad1b686f8f46f45e53ea0533c1875353c7729ff932dce221a60a77bbcb30b3a
|
| 3 |
+
size 4877660776
|
v0-20260118-111123/checkpoint-400/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76e1f401f146eb252b3839b819ba8730426ff0a64b8c54b179e2af2a37db2328
|
| 3 |
+
size 4932751008
|
v0-20260118-111123/checkpoint-400/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fc54fb3e1e3b81c7abb6c0fdf61e7aca31500c63253f140b25eab4c3c0fa507
|
| 3 |
+
size 4330865200
|
v0-20260118-111123/checkpoint-400/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a98edf9938cbaa2e35be1209f55cb0fb025b773ce3707ca66c773d317109313
|
| 3 |
+
size 1089994880
|
v0-20260118-111123/checkpoint-400/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,347 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 333312,
|
| 4 |
+
"total_size": 15231233024
|
| 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-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-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-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-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-00003-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-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-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-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-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-00003-of-00004.safetensors"
|
| 346 |
+
}
|
| 347 |
+
}
|
v0-20260118-111123/checkpoint-400/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 |
+
}
|
v0-20260118-111123/checkpoint-400/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
v0-20260118-111123/checkpoint-400/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 32768,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
v0-20260118-111123/checkpoint-400/trainer_state.json
ADDED
|
@@ -0,0 +1,3234 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9913258983890955,
|
| 6 |
+
"eval_steps": 400.0,
|
| 7 |
+
"global_step": 400,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0024783147459727386,
|
| 14 |
+
"grad_norm": 5.152741770615492,
|
| 15 |
+
"learning_rate": 2.439024390243903e-07,
|
| 16 |
+
"loss": 0.6280399560928345,
|
| 17 |
+
"step": 1,
|
| 18 |
+
"token_acc": 0.8466100336592403
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 0.004956629491945477,
|
| 22 |
+
"grad_norm": 6.659799212146136,
|
| 23 |
+
"learning_rate": 4.878048780487805e-07,
|
| 24 |
+
"loss": 0.5871974229812622,
|
| 25 |
+
"step": 2,
|
| 26 |
+
"token_acc": 0.8527404702916503
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.007434944237918215,
|
| 30 |
+
"grad_norm": 5.773096627351697,
|
| 31 |
+
"learning_rate": 7.317073170731707e-07,
|
| 32 |
+
"loss": 0.7266889810562134,
|
| 33 |
+
"step": 3,
|
| 34 |
+
"token_acc": 0.8195014575525016
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"epoch": 0.009913258983890954,
|
| 38 |
+
"grad_norm": 4.891845561619584,
|
| 39 |
+
"learning_rate": 9.75609756097561e-07,
|
| 40 |
+
"loss": 0.6311039924621582,
|
| 41 |
+
"step": 4,
|
| 42 |
+
"token_acc": 0.8406489039478413
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 0.012391573729863693,
|
| 46 |
+
"grad_norm": 4.9367172329095,
|
| 47 |
+
"learning_rate": 1.2195121951219514e-06,
|
| 48 |
+
"loss": 0.5827497243881226,
|
| 49 |
+
"step": 5,
|
| 50 |
+
"token_acc": 0.8533709521202678
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.01486988847583643,
|
| 54 |
+
"grad_norm": 4.132958552073457,
|
| 55 |
+
"learning_rate": 1.4634146341463414e-06,
|
| 56 |
+
"loss": 0.5859498381614685,
|
| 57 |
+
"step": 6,
|
| 58 |
+
"token_acc": 0.8499663129526697
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.01734820322180917,
|
| 62 |
+
"grad_norm": 6.68685711165827,
|
| 63 |
+
"learning_rate": 1.707317073170732e-06,
|
| 64 |
+
"loss": 0.877733588218689,
|
| 65 |
+
"step": 7,
|
| 66 |
+
"token_acc": 0.7847027585189555
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.01982651796778191,
|
| 70 |
+
"grad_norm": 4.092598456192427,
|
| 71 |
+
"learning_rate": 1.951219512195122e-06,
|
| 72 |
+
"loss": 0.6047767400741577,
|
| 73 |
+
"step": 8,
|
| 74 |
+
"token_acc": 0.8413619032275388
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.022304832713754646,
|
| 78 |
+
"grad_norm": 3.450726245722557,
|
| 79 |
+
"learning_rate": 2.1951219512195125e-06,
|
| 80 |
+
"loss": 0.552032470703125,
|
| 81 |
+
"step": 9,
|
| 82 |
+
"token_acc": 0.8579693650116186
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.024783147459727387,
|
| 86 |
+
"grad_norm": 2.82777314462075,
|
| 87 |
+
"learning_rate": 2.4390243902439027e-06,
|
| 88 |
+
"loss": 0.5181818008422852,
|
| 89 |
+
"step": 10,
|
| 90 |
+
"token_acc": 0.8583218707015131
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.027261462205700124,
|
| 94 |
+
"grad_norm": 2.939274816084272,
|
| 95 |
+
"learning_rate": 2.682926829268293e-06,
|
| 96 |
+
"loss": 0.5806674957275391,
|
| 97 |
+
"step": 11,
|
| 98 |
+
"token_acc": 0.8409493851873034
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.02973977695167286,
|
| 102 |
+
"grad_norm": 1.5725338975804757,
|
| 103 |
+
"learning_rate": 2.926829268292683e-06,
|
| 104 |
+
"loss": 0.34537217020988464,
|
| 105 |
+
"step": 12,
|
| 106 |
+
"token_acc": 0.9047040971168437
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.0322180916976456,
|
| 110 |
+
"grad_norm": 2.2372720247977376,
|
| 111 |
+
"learning_rate": 3.1707317073170736e-06,
|
| 112 |
+
"loss": 0.5229507684707642,
|
| 113 |
+
"step": 13,
|
| 114 |
+
"token_acc": 0.8485535670507477
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.03469640644361834,
|
| 118 |
+
"grad_norm": 1.6095106609123735,
|
| 119 |
+
"learning_rate": 3.414634146341464e-06,
|
| 120 |
+
"loss": 0.4263688325881958,
|
| 121 |
+
"step": 14,
|
| 122 |
+
"token_acc": 0.8758990453772721
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.03717472118959108,
|
| 126 |
+
"grad_norm": 1.6297815842292906,
|
| 127 |
+
"learning_rate": 3.6585365853658537e-06,
|
| 128 |
+
"loss": 0.4802149534225464,
|
| 129 |
+
"step": 15,
|
| 130 |
+
"token_acc": 0.8577548387096774
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.03965303593556382,
|
| 134 |
+
"grad_norm": 1.5017200528745334,
|
| 135 |
+
"learning_rate": 3.902439024390244e-06,
|
| 136 |
+
"loss": 0.43823671340942383,
|
| 137 |
+
"step": 16,
|
| 138 |
+
"token_acc": 0.8716156345377573
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 0.042131350681536554,
|
| 142 |
+
"grad_norm": 1.1196694831188256,
|
| 143 |
+
"learning_rate": 4.146341463414634e-06,
|
| 144 |
+
"loss": 0.37166303396224976,
|
| 145 |
+
"step": 17,
|
| 146 |
+
"token_acc": 0.8925267476470115
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.04460966542750929,
|
| 150 |
+
"grad_norm": 1.096950979407087,
|
| 151 |
+
"learning_rate": 4.390243902439025e-06,
|
| 152 |
+
"loss": 0.3061826825141907,
|
| 153 |
+
"step": 18,
|
| 154 |
+
"token_acc": 0.9092237508019103
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 0.04708798017348203,
|
| 158 |
+
"grad_norm": 1.3024439530847205,
|
| 159 |
+
"learning_rate": 4.634146341463416e-06,
|
| 160 |
+
"loss": 0.4149131774902344,
|
| 161 |
+
"step": 19,
|
| 162 |
+
"token_acc": 0.8787490134175217
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 0.04956629491945477,
|
| 166 |
+
"grad_norm": 1.2653781544873204,
|
| 167 |
+
"learning_rate": 4.8780487804878055e-06,
|
| 168 |
+
"loss": 0.3670874536037445,
|
| 169 |
+
"step": 20,
|
| 170 |
+
"token_acc": 0.8923605604017976
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.05204460966542751,
|
| 174 |
+
"grad_norm": 1.042321818634765,
|
| 175 |
+
"learning_rate": 5.121951219512195e-06,
|
| 176 |
+
"loss": 0.3364541530609131,
|
| 177 |
+
"step": 21,
|
| 178 |
+
"token_acc": 0.9012175708815557
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.05452292441140025,
|
| 182 |
+
"grad_norm": 1.0473566879501226,
|
| 183 |
+
"learning_rate": 5.365853658536586e-06,
|
| 184 |
+
"loss": 0.32251593470573425,
|
| 185 |
+
"step": 22,
|
| 186 |
+
"token_acc": 0.9029631305134584
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.057001239157372985,
|
| 190 |
+
"grad_norm": 0.9185957485423069,
|
| 191 |
+
"learning_rate": 5.609756097560977e-06,
|
| 192 |
+
"loss": 0.2922986149787903,
|
| 193 |
+
"step": 23,
|
| 194 |
+
"token_acc": 0.9114104737264698
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.05947955390334572,
|
| 198 |
+
"grad_norm": 0.8849708686190303,
|
| 199 |
+
"learning_rate": 5.853658536585366e-06,
|
| 200 |
+
"loss": 0.2975844740867615,
|
| 201 |
+
"step": 24,
|
| 202 |
+
"token_acc": 0.9106641721234799
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.061957868649318466,
|
| 206 |
+
"grad_norm": 0.7522567244792215,
|
| 207 |
+
"learning_rate": 6.0975609756097564e-06,
|
| 208 |
+
"loss": 0.27499863505363464,
|
| 209 |
+
"step": 25,
|
| 210 |
+
"token_acc": 0.9186848213976371
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.0644361833952912,
|
| 214 |
+
"grad_norm": 0.8830568235669662,
|
| 215 |
+
"learning_rate": 6.341463414634147e-06,
|
| 216 |
+
"loss": 0.3373298645019531,
|
| 217 |
+
"step": 26,
|
| 218 |
+
"token_acc": 0.8991897152686614
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.06691449814126393,
|
| 222 |
+
"grad_norm": 1.0428133440278322,
|
| 223 |
+
"learning_rate": 6.585365853658538e-06,
|
| 224 |
+
"loss": 0.2516224682331085,
|
| 225 |
+
"step": 27,
|
| 226 |
+
"token_acc": 0.9209082669465248
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.06939281288723669,
|
| 230 |
+
"grad_norm": 0.8473054048647722,
|
| 231 |
+
"learning_rate": 6.829268292682928e-06,
|
| 232 |
+
"loss": 0.3105623126029968,
|
| 233 |
+
"step": 28,
|
| 234 |
+
"token_acc": 0.9049088492214205
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.07187112763320942,
|
| 238 |
+
"grad_norm": 0.7781697391643599,
|
| 239 |
+
"learning_rate": 7.0731707317073175e-06,
|
| 240 |
+
"loss": 0.27655029296875,
|
| 241 |
+
"step": 29,
|
| 242 |
+
"token_acc": 0.9142247456464581
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.07434944237918216,
|
| 246 |
+
"grad_norm": 1.175017796953967,
|
| 247 |
+
"learning_rate": 7.317073170731707e-06,
|
| 248 |
+
"loss": 0.28853511810302734,
|
| 249 |
+
"step": 30,
|
| 250 |
+
"token_acc": 0.9114284262411708
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 0.0768277571251549,
|
| 254 |
+
"grad_norm": 0.8709379398086571,
|
| 255 |
+
"learning_rate": 7.560975609756098e-06,
|
| 256 |
+
"loss": 0.2936350107192993,
|
| 257 |
+
"step": 31,
|
| 258 |
+
"token_acc": 0.9083111041372457
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.07930607187112763,
|
| 262 |
+
"grad_norm": 0.743964311077829,
|
| 263 |
+
"learning_rate": 7.804878048780489e-06,
|
| 264 |
+
"loss": 0.263607382774353,
|
| 265 |
+
"step": 32,
|
| 266 |
+
"token_acc": 0.914971964181103
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.08178438661710037,
|
| 270 |
+
"grad_norm": 0.6693404368618299,
|
| 271 |
+
"learning_rate": 8.048780487804879e-06,
|
| 272 |
+
"loss": 0.2529938817024231,
|
| 273 |
+
"step": 33,
|
| 274 |
+
"token_acc": 0.9186398628187822
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 0.08426270136307311,
|
| 278 |
+
"grad_norm": 0.7778307845277825,
|
| 279 |
+
"learning_rate": 8.292682926829268e-06,
|
| 280 |
+
"loss": 0.274678111076355,
|
| 281 |
+
"step": 34,
|
| 282 |
+
"token_acc": 0.9140374078972228
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.08674101610904585,
|
| 286 |
+
"grad_norm": 0.6453540682137648,
|
| 287 |
+
"learning_rate": 8.536585365853658e-06,
|
| 288 |
+
"loss": 0.2406301498413086,
|
| 289 |
+
"step": 35,
|
| 290 |
+
"token_acc": 0.9253312848089111
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.08921933085501858,
|
| 294 |
+
"grad_norm": 0.6486127774886041,
|
| 295 |
+
"learning_rate": 8.78048780487805e-06,
|
| 296 |
+
"loss": 0.2274288833141327,
|
| 297 |
+
"step": 36,
|
| 298 |
+
"token_acc": 0.9271211335752548
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 0.09169764560099132,
|
| 302 |
+
"grad_norm": 0.6428660359148164,
|
| 303 |
+
"learning_rate": 9.02439024390244e-06,
|
| 304 |
+
"loss": 0.25187456607818604,
|
| 305 |
+
"step": 37,
|
| 306 |
+
"token_acc": 0.9196449427703808
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.09417596034696406,
|
| 310 |
+
"grad_norm": 0.7440422572002309,
|
| 311 |
+
"learning_rate": 9.268292682926831e-06,
|
| 312 |
+
"loss": 0.25542035698890686,
|
| 313 |
+
"step": 38,
|
| 314 |
+
"token_acc": 0.9165800415800416
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.09665427509293681,
|
| 318 |
+
"grad_norm": 0.8121763291754459,
|
| 319 |
+
"learning_rate": 9.51219512195122e-06,
|
| 320 |
+
"loss": 0.29406723380088806,
|
| 321 |
+
"step": 39,
|
| 322 |
+
"token_acc": 0.9044053413203544
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"epoch": 0.09913258983890955,
|
| 326 |
+
"grad_norm": 0.7075293006253646,
|
| 327 |
+
"learning_rate": 9.756097560975611e-06,
|
| 328 |
+
"loss": 0.24274387955665588,
|
| 329 |
+
"step": 40,
|
| 330 |
+
"token_acc": 0.9228802337792795
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.10161090458488228,
|
| 334 |
+
"grad_norm": 0.7001184277066227,
|
| 335 |
+
"learning_rate": 1e-05,
|
| 336 |
+
"loss": 0.25826495885849,
|
| 337 |
+
"step": 41,
|
| 338 |
+
"token_acc": 0.91692122790325
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.10408921933085502,
|
| 342 |
+
"grad_norm": 0.8289483682931322,
|
| 343 |
+
"learning_rate": 9.999958058069237e-06,
|
| 344 |
+
"loss": 0.307015061378479,
|
| 345 |
+
"step": 42,
|
| 346 |
+
"token_acc": 0.9035457758522404
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.10656753407682776,
|
| 350 |
+
"grad_norm": 0.8576026586334142,
|
| 351 |
+
"learning_rate": 9.999832232980598e-06,
|
| 352 |
+
"loss": 0.29618990421295166,
|
| 353 |
+
"step": 43,
|
| 354 |
+
"token_acc": 0.9024422268907563
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.1090458488228005,
|
| 358 |
+
"grad_norm": 0.7706795040958865,
|
| 359 |
+
"learning_rate": 9.99962252684502e-06,
|
| 360 |
+
"loss": 0.2699882984161377,
|
| 361 |
+
"step": 44,
|
| 362 |
+
"token_acc": 0.9110377959136424
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.11152416356877323,
|
| 366 |
+
"grad_norm": 0.7674521933852734,
|
| 367 |
+
"learning_rate": 9.999328943180696e-06,
|
| 368 |
+
"loss": 0.2609761357307434,
|
| 369 |
+
"step": 45,
|
| 370 |
+
"token_acc": 0.9139467662290738
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.11400247831474597,
|
| 374 |
+
"grad_norm": 0.7910398585026672,
|
| 375 |
+
"learning_rate": 9.998951486913015e-06,
|
| 376 |
+
"loss": 0.264095276594162,
|
| 377 |
+
"step": 46,
|
| 378 |
+
"token_acc": 0.9147150663544106
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.11648079306071871,
|
| 382 |
+
"grad_norm": 0.730661799880672,
|
| 383 |
+
"learning_rate": 9.998490164374472e-06,
|
| 384 |
+
"loss": 0.27300259470939636,
|
| 385 |
+
"step": 47,
|
| 386 |
+
"token_acc": 0.9099099099099099
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 0.11895910780669144,
|
| 390 |
+
"grad_norm": 0.6887734004489385,
|
| 391 |
+
"learning_rate": 9.99794498330457e-06,
|
| 392 |
+
"loss": 0.2652634084224701,
|
| 393 |
+
"step": 48,
|
| 394 |
+
"token_acc": 0.911517403206883
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.12143742255266418,
|
| 398 |
+
"grad_norm": 0.8681120120839262,
|
| 399 |
+
"learning_rate": 9.99731595284969e-06,
|
| 400 |
+
"loss": 0.30215466022491455,
|
| 401 |
+
"step": 49,
|
| 402 |
+
"token_acc": 0.9014267990074442
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.12391573729863693,
|
| 406 |
+
"grad_norm": 0.8383434490720347,
|
| 407 |
+
"learning_rate": 9.996603083562928e-06,
|
| 408 |
+
"loss": 0.28113776445388794,
|
| 409 |
+
"step": 50,
|
| 410 |
+
"token_acc": 0.9063655268022182
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.12639405204460966,
|
| 414 |
+
"grad_norm": 0.8494844754006111,
|
| 415 |
+
"learning_rate": 9.995806387403935e-06,
|
| 416 |
+
"loss": 0.29393693804740906,
|
| 417 |
+
"step": 51,
|
| 418 |
+
"token_acc": 0.9052440133373749
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 0.1288723667905824,
|
| 422 |
+
"grad_norm": 0.6486365110403891,
|
| 423 |
+
"learning_rate": 9.9949258777387e-06,
|
| 424 |
+
"loss": 0.24308419227600098,
|
| 425 |
+
"step": 52,
|
| 426 |
+
"token_acc": 0.9189137041146109
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 0.13135068153655513,
|
| 430 |
+
"grad_norm": 0.6416358040195514,
|
| 431 |
+
"learning_rate": 9.99396156933933e-06,
|
| 432 |
+
"loss": 0.23135429620742798,
|
| 433 |
+
"step": 53,
|
| 434 |
+
"token_acc": 0.9248362818883784
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.13382899628252787,
|
| 438 |
+
"grad_norm": 0.5926230753034153,
|
| 439 |
+
"learning_rate": 9.99291347838381e-06,
|
| 440 |
+
"loss": 0.21786190569400787,
|
| 441 |
+
"step": 54,
|
| 442 |
+
"token_acc": 0.9290858499058843
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.13630731102850063,
|
| 446 |
+
"grad_norm": 0.5316199275550064,
|
| 447 |
+
"learning_rate": 9.991781622455723e-06,
|
| 448 |
+
"loss": 0.18058544397354126,
|
| 449 |
+
"step": 55,
|
| 450 |
+
"token_acc": 0.9416021278260189
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.13878562577447337,
|
| 454 |
+
"grad_norm": 0.7432922658151926,
|
| 455 |
+
"learning_rate": 9.99056602054396e-06,
|
| 456 |
+
"loss": 0.2626504600048065,
|
| 457 |
+
"step": 56,
|
| 458 |
+
"token_acc": 0.9162135297900953
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.1412639405204461,
|
| 462 |
+
"grad_norm": 0.6824907609437474,
|
| 463 |
+
"learning_rate": 9.989266693042394e-06,
|
| 464 |
+
"loss": 0.24713991582393646,
|
| 465 |
+
"step": 57,
|
| 466 |
+
"token_acc": 0.915455261086329
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.14374225526641884,
|
| 470 |
+
"grad_norm": 0.6846394038528598,
|
| 471 |
+
"learning_rate": 9.987883661749548e-06,
|
| 472 |
+
"loss": 0.24615027010440826,
|
| 473 |
+
"step": 58,
|
| 474 |
+
"token_acc": 0.9182628965237661
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.14622057001239158,
|
| 478 |
+
"grad_norm": 0.671032402631692,
|
| 479 |
+
"learning_rate": 9.986416949868223e-06,
|
| 480 |
+
"loss": 0.23045897483825684,
|
| 481 |
+
"step": 59,
|
| 482 |
+
"token_acc": 0.9223265895953757
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.14869888475836432,
|
| 486 |
+
"grad_norm": 0.590392296403256,
|
| 487 |
+
"learning_rate": 9.984866582005112e-06,
|
| 488 |
+
"loss": 0.23017142713069916,
|
| 489 |
+
"step": 60,
|
| 490 |
+
"token_acc": 0.9249714565323764
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"epoch": 0.15117719950433706,
|
| 494 |
+
"grad_norm": 0.7332906653262294,
|
| 495 |
+
"learning_rate": 9.98323258417038e-06,
|
| 496 |
+
"loss": 0.21902009844779968,
|
| 497 |
+
"step": 61,
|
| 498 |
+
"token_acc": 0.9296413980935089
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 0.1536555142503098,
|
| 502 |
+
"grad_norm": 0.6119683891294139,
|
| 503 |
+
"learning_rate": 9.98151498377724e-06,
|
| 504 |
+
"loss": 0.226226806640625,
|
| 505 |
+
"step": 62,
|
| 506 |
+
"token_acc": 0.9257288597686997
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.15613382899628253,
|
| 510 |
+
"grad_norm": 0.5886025443793597,
|
| 511 |
+
"learning_rate": 9.979713809641482e-06,
|
| 512 |
+
"loss": 0.21773485839366913,
|
| 513 |
+
"step": 63,
|
| 514 |
+
"token_acc": 0.9285835525757448
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.15861214374225527,
|
| 518 |
+
"grad_norm": 0.542790729138002,
|
| 519 |
+
"learning_rate": 9.977829091980996e-06,
|
| 520 |
+
"loss": 0.18839819729328156,
|
| 521 |
+
"step": 64,
|
| 522 |
+
"token_acc": 0.937266340741958
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.161090458488228,
|
| 526 |
+
"grad_norm": 0.6035397948632573,
|
| 527 |
+
"learning_rate": 9.975860862415255e-06,
|
| 528 |
+
"loss": 0.24017992615699768,
|
| 529 |
+
"step": 65,
|
| 530 |
+
"token_acc": 0.9217032967032966
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.16356877323420074,
|
| 534 |
+
"grad_norm": 0.73394638336352,
|
| 535 |
+
"learning_rate": 9.973809153964803e-06,
|
| 536 |
+
"loss": 0.2492518126964569,
|
| 537 |
+
"step": 66,
|
| 538 |
+
"token_acc": 0.9189417393751759
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 0.16604708798017348,
|
| 542 |
+
"grad_norm": 0.7395334010170984,
|
| 543 |
+
"learning_rate": 9.971674001050687e-06,
|
| 544 |
+
"loss": 0.22974947094917297,
|
| 545 |
+
"step": 67,
|
| 546 |
+
"token_acc": 0.9226286966046002
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.16852540272614622,
|
| 550 |
+
"grad_norm": 0.747379700769761,
|
| 551 |
+
"learning_rate": 9.969455439493877e-06,
|
| 552 |
+
"loss": 0.22691377997398376,
|
| 553 |
+
"step": 68,
|
| 554 |
+
"token_acc": 0.9222686151704941
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.17100371747211895,
|
| 558 |
+
"grad_norm": 0.658865137496205,
|
| 559 |
+
"learning_rate": 9.967153506514677e-06,
|
| 560 |
+
"loss": 0.22380544245243073,
|
| 561 |
+
"step": 69,
|
| 562 |
+
"token_acc": 0.9252806813782424
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.1734820322180917,
|
| 566 |
+
"grad_norm": 0.7356775318215079,
|
| 567 |
+
"learning_rate": 9.964768240732094e-06,
|
| 568 |
+
"loss": 0.2645195722579956,
|
| 569 |
+
"step": 70,
|
| 570 |
+
"token_acc": 0.9151927662957074
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.17596034696406443,
|
| 574 |
+
"grad_norm": 0.6105835902909259,
|
| 575 |
+
"learning_rate": 9.962299682163185e-06,
|
| 576 |
+
"loss": 0.2146928757429123,
|
| 577 |
+
"step": 71,
|
| 578 |
+
"token_acc": 0.9290130223177094
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.17843866171003717,
|
| 582 |
+
"grad_norm": 0.5329367804171343,
|
| 583 |
+
"learning_rate": 9.9597478722224e-06,
|
| 584 |
+
"loss": 0.2094036340713501,
|
| 585 |
+
"step": 72,
|
| 586 |
+
"token_acc": 0.9313269098913789
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.1809169764560099,
|
| 590 |
+
"grad_norm": 0.5747322260053925,
|
| 591 |
+
"learning_rate": 9.95711285372087e-06,
|
| 592 |
+
"loss": 0.208097904920578,
|
| 593 |
+
"step": 73,
|
| 594 |
+
"token_acc": 0.9322465208747515
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 0.18339529120198264,
|
| 598 |
+
"grad_norm": 0.5727093669360868,
|
| 599 |
+
"learning_rate": 9.954394670865701e-06,
|
| 600 |
+
"loss": 0.1939130574464798,
|
| 601 |
+
"step": 74,
|
| 602 |
+
"token_acc": 0.9365079365079365
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 0.18587360594795538,
|
| 606 |
+
"grad_norm": 0.7526598862000905,
|
| 607 |
+
"learning_rate": 9.95159336925923e-06,
|
| 608 |
+
"loss": 0.24381700158119202,
|
| 609 |
+
"step": 75,
|
| 610 |
+
"token_acc": 0.9202645132574553
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 0.18835192069392812,
|
| 614 |
+
"grad_norm": 0.4831188265033829,
|
| 615 |
+
"learning_rate": 9.948708995898251e-06,
|
| 616 |
+
"loss": 0.19075995683670044,
|
| 617 |
+
"step": 76,
|
| 618 |
+
"token_acc": 0.9386913802188265
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.19083023543990088,
|
| 622 |
+
"grad_norm": 0.5959016019532168,
|
| 623 |
+
"learning_rate": 9.945741599173244e-06,
|
| 624 |
+
"loss": 0.203287273645401,
|
| 625 |
+
"step": 77,
|
| 626 |
+
"token_acc": 0.9333607062204886
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.19330855018587362,
|
| 630 |
+
"grad_norm": 0.6718307740654204,
|
| 631 |
+
"learning_rate": 9.942691228867548e-06,
|
| 632 |
+
"loss": 0.230672687292099,
|
| 633 |
+
"step": 78,
|
| 634 |
+
"token_acc": 0.9241523213354199
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.19578686493184635,
|
| 638 |
+
"grad_norm": 0.7568556510207133,
|
| 639 |
+
"learning_rate": 9.939557936156527e-06,
|
| 640 |
+
"loss": 0.2662471532821655,
|
| 641 |
+
"step": 79,
|
| 642 |
+
"token_acc": 0.9116592482690405
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 0.1982651796778191,
|
| 646 |
+
"grad_norm": 0.6132832698144588,
|
| 647 |
+
"learning_rate": 9.936341773606723e-06,
|
| 648 |
+
"loss": 0.22949030995368958,
|
| 649 |
+
"step": 80,
|
| 650 |
+
"token_acc": 0.923230403800475
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 0.20074349442379183,
|
| 654 |
+
"grad_norm": 0.6142608403486509,
|
| 655 |
+
"learning_rate": 9.933042795174964e-06,
|
| 656 |
+
"loss": 0.2260524034500122,
|
| 657 |
+
"step": 81,
|
| 658 |
+
"token_acc": 0.9238841336621694
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 0.20322180916976457,
|
| 662 |
+
"grad_norm": 0.6225877998684491,
|
| 663 |
+
"learning_rate": 9.929661056207455e-06,
|
| 664 |
+
"loss": 0.22532519698143005,
|
| 665 |
+
"step": 82,
|
| 666 |
+
"token_acc": 0.9259611724400457
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 0.2057001239157373,
|
| 670 |
+
"grad_norm": 0.5949768512952913,
|
| 671 |
+
"learning_rate": 9.926196613438866e-06,
|
| 672 |
+
"loss": 0.22014835476875305,
|
| 673 |
+
"step": 83,
|
| 674 |
+
"token_acc": 0.927879393491767
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.20817843866171004,
|
| 678 |
+
"grad_norm": 0.47559912232542845,
|
| 679 |
+
"learning_rate": 9.922649524991359e-06,
|
| 680 |
+
"loss": 0.19228321313858032,
|
| 681 |
+
"step": 84,
|
| 682 |
+
"token_acc": 0.9367929993596975
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.21065675340768278,
|
| 686 |
+
"grad_norm": 0.7197566393432097,
|
| 687 |
+
"learning_rate": 9.919019850373635e-06,
|
| 688 |
+
"loss": 0.2401162087917328,
|
| 689 |
+
"step": 85,
|
| 690 |
+
"token_acc": 0.9200677392040644
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.21313506815365552,
|
| 694 |
+
"grad_norm": 0.5558026136873683,
|
| 695 |
+
"learning_rate": 9.915307650479915e-06,
|
| 696 |
+
"loss": 0.22521266341209412,
|
| 697 |
+
"step": 86,
|
| 698 |
+
"token_acc": 0.9251803095021357
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 0.21561338289962825,
|
| 702 |
+
"grad_norm": 0.7799930478623432,
|
| 703 |
+
"learning_rate": 9.911512987588932e-06,
|
| 704 |
+
"loss": 0.25759661197662354,
|
| 705 |
+
"step": 87,
|
| 706 |
+
"token_acc": 0.9134508141869284
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.218091697645601,
|
| 710 |
+
"grad_norm": 0.73854821966703,
|
| 711 |
+
"learning_rate": 9.90763592536288e-06,
|
| 712 |
+
"loss": 0.2677152156829834,
|
| 713 |
+
"step": 88,
|
| 714 |
+
"token_acc": 0.9098903675910184
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 0.22057001239157373,
|
| 718 |
+
"grad_norm": 0.6560010388105352,
|
| 719 |
+
"learning_rate": 9.903676528846353e-06,
|
| 720 |
+
"loss": 0.21643874049186707,
|
| 721 |
+
"step": 89,
|
| 722 |
+
"token_acc": 0.9248446592366111
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 0.22304832713754646,
|
| 726 |
+
"grad_norm": 0.6870658702391815,
|
| 727 |
+
"learning_rate": 9.899634864465242e-06,
|
| 728 |
+
"loss": 0.22982674837112427,
|
| 729 |
+
"step": 90,
|
| 730 |
+
"token_acc": 0.9247239879558381
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.2255266418835192,
|
| 734 |
+
"grad_norm": 0.8171389676709397,
|
| 735 |
+
"learning_rate": 9.89551100002563e-06,
|
| 736 |
+
"loss": 0.3131510615348816,
|
| 737 |
+
"step": 91,
|
| 738 |
+
"token_acc": 0.898832016489179
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.22800495662949194,
|
| 742 |
+
"grad_norm": 0.6475997236770011,
|
| 743 |
+
"learning_rate": 9.891305004712652e-06,
|
| 744 |
+
"loss": 0.22935685515403748,
|
| 745 |
+
"step": 92,
|
| 746 |
+
"token_acc": 0.9246883302677295
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 0.23048327137546468,
|
| 750 |
+
"grad_norm": 0.6984914148854385,
|
| 751 |
+
"learning_rate": 9.887016949089334e-06,
|
| 752 |
+
"loss": 0.27030426263809204,
|
| 753 |
+
"step": 93,
|
| 754 |
+
"token_acc": 0.9117368079476811
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.23296158612143741,
|
| 758 |
+
"grad_norm": 0.7155477681646722,
|
| 759 |
+
"learning_rate": 9.88264690509541e-06,
|
| 760 |
+
"loss": 0.24020570516586304,
|
| 761 |
+
"step": 94,
|
| 762 |
+
"token_acc": 0.9189102392549376
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 0.23543990086741015,
|
| 766 |
+
"grad_norm": 0.6625014013987743,
|
| 767 |
+
"learning_rate": 9.87819494604611e-06,
|
| 768 |
+
"loss": 0.21902109682559967,
|
| 769 |
+
"step": 95,
|
| 770 |
+
"token_acc": 0.9258085943487814
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 0.2379182156133829,
|
| 774 |
+
"grad_norm": 0.6857615175082238,
|
| 775 |
+
"learning_rate": 9.87366114663094e-06,
|
| 776 |
+
"loss": 0.23725655674934387,
|
| 777 |
+
"step": 96,
|
| 778 |
+
"token_acc": 0.9202574146614437
|
| 779 |
+
},
|
| 780 |
+
{
|
| 781 |
+
"epoch": 0.24039653035935563,
|
| 782 |
+
"grad_norm": 0.5382472824063855,
|
| 783 |
+
"learning_rate": 9.869045582912419e-06,
|
| 784 |
+
"loss": 0.1930842399597168,
|
| 785 |
+
"step": 97,
|
| 786 |
+
"token_acc": 0.9355825614005269
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.24287484510532836,
|
| 790 |
+
"grad_norm": 0.5917468629160709,
|
| 791 |
+
"learning_rate": 9.864348332324811e-06,
|
| 792 |
+
"loss": 0.2038682997226715,
|
| 793 |
+
"step": 98,
|
| 794 |
+
"token_acc": 0.930703241382853
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.24535315985130113,
|
| 798 |
+
"grad_norm": 0.7370278763672347,
|
| 799 |
+
"learning_rate": 9.859569473672816e-06,
|
| 800 |
+
"loss": 0.2568693161010742,
|
| 801 |
+
"step": 99,
|
| 802 |
+
"token_acc": 0.9163040989237463
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.24783147459727387,
|
| 806 |
+
"grad_norm": 0.699776450459087,
|
| 807 |
+
"learning_rate": 9.854709087130261e-06,
|
| 808 |
+
"loss": 0.23611804842948914,
|
| 809 |
+
"step": 100,
|
| 810 |
+
"token_acc": 0.9206951776499199
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.2503097893432466,
|
| 814 |
+
"grad_norm": 0.6436747511962065,
|
| 815 |
+
"learning_rate": 9.849767254238741e-06,
|
| 816 |
+
"loss": 0.2255825400352478,
|
| 817 |
+
"step": 101,
|
| 818 |
+
"token_acc": 0.9254596818159291
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 0.2527881040892193,
|
| 822 |
+
"grad_norm": 0.6968897120394955,
|
| 823 |
+
"learning_rate": 9.844744057906263e-06,
|
| 824 |
+
"loss": 0.22949333488941193,
|
| 825 |
+
"step": 102,
|
| 826 |
+
"token_acc": 0.9230900700734918
|
| 827 |
+
},
|
| 828 |
+
{
|
| 829 |
+
"epoch": 0.2552664188351921,
|
| 830 |
+
"grad_norm": 0.6021525343654722,
|
| 831 |
+
"learning_rate": 9.83963958240585e-06,
|
| 832 |
+
"loss": 0.22275502979755402,
|
| 833 |
+
"step": 103,
|
| 834 |
+
"token_acc": 0.9239624505928854
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 0.2577447335811648,
|
| 838 |
+
"grad_norm": 0.6040196891936457,
|
| 839 |
+
"learning_rate": 9.83445391337412e-06,
|
| 840 |
+
"loss": 0.20589368045330048,
|
| 841 |
+
"step": 104,
|
| 842 |
+
"token_acc": 0.9333070866141733
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.26022304832713755,
|
| 846 |
+
"grad_norm": 0.5180043364755613,
|
| 847 |
+
"learning_rate": 9.829187137809865e-06,
|
| 848 |
+
"loss": 0.1843060851097107,
|
| 849 |
+
"step": 105,
|
| 850 |
+
"token_acc": 0.9390032847102038
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.26270136307311026,
|
| 854 |
+
"grad_norm": 0.7311666721720581,
|
| 855 |
+
"learning_rate": 9.823839344072582e-06,
|
| 856 |
+
"loss": 0.24487090110778809,
|
| 857 |
+
"step": 106,
|
| 858 |
+
"token_acc": 0.9175579794556814
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.265179677819083,
|
| 862 |
+
"grad_norm": 0.5681200462480614,
|
| 863 |
+
"learning_rate": 9.818410621880983e-06,
|
| 864 |
+
"loss": 0.1999751329421997,
|
| 865 |
+
"step": 107,
|
| 866 |
+
"token_acc": 0.9352977539666186
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.26765799256505574,
|
| 870 |
+
"grad_norm": 0.8188515220846709,
|
| 871 |
+
"learning_rate": 9.812901062311508e-06,
|
| 872 |
+
"loss": 0.2684789001941681,
|
| 873 |
+
"step": 108,
|
| 874 |
+
"token_acc": 0.9121413408203793
|
| 875 |
+
},
|
| 876 |
+
{
|
| 877 |
+
"epoch": 0.2701363073110285,
|
| 878 |
+
"grad_norm": 0.7867950263321067,
|
| 879 |
+
"learning_rate": 9.807310757796782e-06,
|
| 880 |
+
"loss": 0.27002137899398804,
|
| 881 |
+
"step": 109,
|
| 882 |
+
"token_acc": 0.9115319045299561
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.27261462205700127,
|
| 886 |
+
"grad_norm": 0.5338114705656758,
|
| 887 |
+
"learning_rate": 9.801639802124073e-06,
|
| 888 |
+
"loss": 0.16630269587039948,
|
| 889 |
+
"step": 110,
|
| 890 |
+
"token_acc": 0.9444096657067735
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 0.275092936802974,
|
| 894 |
+
"grad_norm": 0.6396839603648911,
|
| 895 |
+
"learning_rate": 9.795888290433709e-06,
|
| 896 |
+
"loss": 0.2209298461675644,
|
| 897 |
+
"step": 111,
|
| 898 |
+
"token_acc": 0.927190623572987
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.27757125154894674,
|
| 902 |
+
"grad_norm": 0.7368184475989802,
|
| 903 |
+
"learning_rate": 9.790056319217496e-06,
|
| 904 |
+
"loss": 0.22379571199417114,
|
| 905 |
+
"step": 112,
|
| 906 |
+
"token_acc": 0.9253403601229688
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.28004956629491945,
|
| 910 |
+
"grad_norm": 0.6648239863886829,
|
| 911 |
+
"learning_rate": 9.784143986317084e-06,
|
| 912 |
+
"loss": 0.21828393638134003,
|
| 913 |
+
"step": 113,
|
| 914 |
+
"token_acc": 0.9292559769167353
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.2825278810408922,
|
| 918 |
+
"grad_norm": 0.658844948786081,
|
| 919 |
+
"learning_rate": 9.77815139092234e-06,
|
| 920 |
+
"loss": 0.22107566893100739,
|
| 921 |
+
"step": 114,
|
| 922 |
+
"token_acc": 0.9247939747857884
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.2850061957868649,
|
| 926 |
+
"grad_norm": 0.5599548678008707,
|
| 927 |
+
"learning_rate": 9.772078633569671e-06,
|
| 928 |
+
"loss": 0.1864532232284546,
|
| 929 |
+
"step": 115,
|
| 930 |
+
"token_acc": 0.9381483174513872
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 0.2874845105328377,
|
| 934 |
+
"grad_norm": 0.6790526573037045,
|
| 935 |
+
"learning_rate": 9.76592581614034e-06,
|
| 936 |
+
"loss": 0.2198459506034851,
|
| 937 |
+
"step": 116,
|
| 938 |
+
"token_acc": 0.9259069714545661
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 0.2899628252788104,
|
| 942 |
+
"grad_norm": 0.6223213126222148,
|
| 943 |
+
"learning_rate": 9.75969304185877e-06,
|
| 944 |
+
"loss": 0.21157419681549072,
|
| 945 |
+
"step": 117,
|
| 946 |
+
"token_acc": 0.9291258859264259
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 0.29244114002478316,
|
| 950 |
+
"grad_norm": 0.5350239894828026,
|
| 951 |
+
"learning_rate": 9.753380415290793e-06,
|
| 952 |
+
"loss": 0.182597815990448,
|
| 953 |
+
"step": 118,
|
| 954 |
+
"token_acc": 0.9411955027096983
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.2949194547707559,
|
| 958 |
+
"grad_norm": 0.5901037896882932,
|
| 959 |
+
"learning_rate": 9.746988042341907e-06,
|
| 960 |
+
"loss": 0.2082580327987671,
|
| 961 |
+
"step": 119,
|
| 962 |
+
"token_acc": 0.9305013020833334
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.29739776951672864,
|
| 966 |
+
"grad_norm": 0.6899271504906435,
|
| 967 |
+
"learning_rate": 9.7405160302555e-06,
|
| 968 |
+
"loss": 0.22355863451957703,
|
| 969 |
+
"step": 120,
|
| 970 |
+
"token_acc": 0.9284356537374775
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 0.29987608426270135,
|
| 974 |
+
"grad_norm": 0.49820686098077066,
|
| 975 |
+
"learning_rate": 9.733964487611044e-06,
|
| 976 |
+
"loss": 0.18118801712989807,
|
| 977 |
+
"step": 121,
|
| 978 |
+
"token_acc": 0.9391537046328817
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.3023543990086741,
|
| 982 |
+
"grad_norm": 0.6124435134555859,
|
| 983 |
+
"learning_rate": 9.727333524322274e-06,
|
| 984 |
+
"loss": 0.2028205245733261,
|
| 985 |
+
"step": 122,
|
| 986 |
+
"token_acc": 0.9331186055323987
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 0.3048327137546468,
|
| 990 |
+
"grad_norm": 0.6111929270056039,
|
| 991 |
+
"learning_rate": 9.720623251635358e-06,
|
| 992 |
+
"loss": 0.20341047644615173,
|
| 993 |
+
"step": 123,
|
| 994 |
+
"token_acc": 0.9306522052118827
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 0.3073110285006196,
|
| 998 |
+
"grad_norm": 0.6226614735059314,
|
| 999 |
+
"learning_rate": 9.713833782127008e-06,
|
| 1000 |
+
"loss": 0.2207832634449005,
|
| 1001 |
+
"step": 124,
|
| 1002 |
+
"token_acc": 0.927799011839284
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 0.3097893432465923,
|
| 1006 |
+
"grad_norm": 0.7500226651440616,
|
| 1007 |
+
"learning_rate": 9.706965229702614e-06,
|
| 1008 |
+
"loss": 0.21534043550491333,
|
| 1009 |
+
"step": 125,
|
| 1010 |
+
"token_acc": 0.9283111600711804
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.31226765799256506,
|
| 1014 |
+
"grad_norm": 0.5969983142881393,
|
| 1015 |
+
"learning_rate": 9.70001770959431e-06,
|
| 1016 |
+
"loss": 0.20864689350128174,
|
| 1017 |
+
"step": 126,
|
| 1018 |
+
"token_acc": 0.930216098895914
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.31474597273853777,
|
| 1022 |
+
"grad_norm": 0.662250864463595,
|
| 1023 |
+
"learning_rate": 9.69299133835906e-06,
|
| 1024 |
+
"loss": 0.22514306008815765,
|
| 1025 |
+
"step": 127,
|
| 1026 |
+
"token_acc": 0.9244858443665288
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 0.31722428748451054,
|
| 1030 |
+
"grad_norm": 0.6555705461454898,
|
| 1031 |
+
"learning_rate": 9.685886233876696e-06,
|
| 1032 |
+
"loss": 0.2551542818546295,
|
| 1033 |
+
"step": 128,
|
| 1034 |
+
"token_acc": 0.9149975574010747
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.31970260223048325,
|
| 1038 |
+
"grad_norm": 0.683327108993182,
|
| 1039 |
+
"learning_rate": 9.678702515347937e-06,
|
| 1040 |
+
"loss": 0.20765897631645203,
|
| 1041 |
+
"step": 129,
|
| 1042 |
+
"token_acc": 0.9301343570057582
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 0.322180916976456,
|
| 1046 |
+
"grad_norm": 0.7477289101621784,
|
| 1047 |
+
"learning_rate": 9.671440303292395e-06,
|
| 1048 |
+
"loss": 0.2211070954799652,
|
| 1049 |
+
"step": 130,
|
| 1050 |
+
"token_acc": 0.924435318275154
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 0.3246592317224288,
|
| 1054 |
+
"grad_norm": 0.5455390247008853,
|
| 1055 |
+
"learning_rate": 9.664099719546547e-06,
|
| 1056 |
+
"loss": 0.21397201716899872,
|
| 1057 |
+
"step": 131,
|
| 1058 |
+
"token_acc": 0.9294995544995545
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 0.3271375464684015,
|
| 1062 |
+
"grad_norm": 0.6276994581992864,
|
| 1063 |
+
"learning_rate": 9.656680887261693e-06,
|
| 1064 |
+
"loss": 0.22758865356445312,
|
| 1065 |
+
"step": 132,
|
| 1066 |
+
"token_acc": 0.9251353373531095
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.32961586121437425,
|
| 1070 |
+
"grad_norm": 0.7151498487405634,
|
| 1071 |
+
"learning_rate": 9.649183930901895e-06,
|
| 1072 |
+
"loss": 0.23220603168010712,
|
| 1073 |
+
"step": 133,
|
| 1074 |
+
"token_acc": 0.920151313771598
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.33209417596034696,
|
| 1078 |
+
"grad_norm": 0.7673728081031518,
|
| 1079 |
+
"learning_rate": 9.641608976241883e-06,
|
| 1080 |
+
"loss": 0.2098277360200882,
|
| 1081 |
+
"step": 134,
|
| 1082 |
+
"token_acc": 0.930225169770859
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 0.3345724907063197,
|
| 1086 |
+
"grad_norm": 0.596061647283099,
|
| 1087 |
+
"learning_rate": 9.633956150364948e-06,
|
| 1088 |
+
"loss": 0.20195722579956055,
|
| 1089 |
+
"step": 135,
|
| 1090 |
+
"token_acc": 0.932075655175767
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 0.33705080545229243,
|
| 1094 |
+
"grad_norm": 0.7823858157558046,
|
| 1095 |
+
"learning_rate": 9.626225581660802e-06,
|
| 1096 |
+
"loss": 0.25131508708000183,
|
| 1097 |
+
"step": 136,
|
| 1098 |
+
"token_acc": 0.9164817956413938
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.3395291201982652,
|
| 1102 |
+
"grad_norm": 1.0075044360123926,
|
| 1103 |
+
"learning_rate": 9.618417399823442e-06,
|
| 1104 |
+
"loss": 0.24758443236351013,
|
| 1105 |
+
"step": 137,
|
| 1106 |
+
"token_acc": 0.9178075588121867
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 0.3420074349442379,
|
| 1110 |
+
"grad_norm": 0.5986943628118782,
|
| 1111 |
+
"learning_rate": 9.610531735848953e-06,
|
| 1112 |
+
"loss": 0.2083842158317566,
|
| 1113 |
+
"step": 138,
|
| 1114 |
+
"token_acc": 0.9286983562860951
|
| 1115 |
+
},
|
| 1116 |
+
{
|
| 1117 |
+
"epoch": 0.3444857496902107,
|
| 1118 |
+
"grad_norm": 0.5952153058165217,
|
| 1119 |
+
"learning_rate": 9.602568722033325e-06,
|
| 1120 |
+
"loss": 0.1876327097415924,
|
| 1121 |
+
"step": 139,
|
| 1122 |
+
"token_acc": 0.9359681372549019
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.3469640644361834,
|
| 1126 |
+
"grad_norm": 0.5183427523589083,
|
| 1127 |
+
"learning_rate": 9.594528491970228e-06,
|
| 1128 |
+
"loss": 0.19901341199874878,
|
| 1129 |
+
"step": 140,
|
| 1130 |
+
"token_acc": 0.9340257879656161
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.34944237918215615,
|
| 1134 |
+
"grad_norm": 0.5452552403488217,
|
| 1135 |
+
"learning_rate": 9.586411180548771e-06,
|
| 1136 |
+
"loss": 0.20106159150600433,
|
| 1137 |
+
"step": 141,
|
| 1138 |
+
"token_acc": 0.9313363158918498
|
| 1139 |
+
},
|
| 1140 |
+
{
|
| 1141 |
+
"epoch": 0.35192069392812886,
|
| 1142 |
+
"grad_norm": 0.5999451588134254,
|
| 1143 |
+
"learning_rate": 9.57821692395124e-06,
|
| 1144 |
+
"loss": 0.21889635920524597,
|
| 1145 |
+
"step": 142,
|
| 1146 |
+
"token_acc": 0.9280405700795663
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.3543990086741016,
|
| 1150 |
+
"grad_norm": 0.5974507676980582,
|
| 1151 |
+
"learning_rate": 9.56994585965081e-06,
|
| 1152 |
+
"loss": 0.21680448949337006,
|
| 1153 |
+
"step": 143,
|
| 1154 |
+
"token_acc": 0.9278524214801054
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.35687732342007433,
|
| 1158 |
+
"grad_norm": 0.7743435372125036,
|
| 1159 |
+
"learning_rate": 9.561598126409247e-06,
|
| 1160 |
+
"loss": 0.25729891657829285,
|
| 1161 |
+
"step": 144,
|
| 1162 |
+
"token_acc": 0.912291576272237
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 0.3593556381660471,
|
| 1166 |
+
"grad_norm": 0.5078695699272778,
|
| 1167 |
+
"learning_rate": 9.553173864274567e-06,
|
| 1168 |
+
"loss": 0.20655712485313416,
|
| 1169 |
+
"step": 145,
|
| 1170 |
+
"token_acc": 0.9319226900416726
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 0.3618339529120198,
|
| 1174 |
+
"grad_norm": 0.7207127634706177,
|
| 1175 |
+
"learning_rate": 9.544673214578699e-06,
|
| 1176 |
+
"loss": 0.2392895221710205,
|
| 1177 |
+
"step": 146,
|
| 1178 |
+
"token_acc": 0.9207130424344278
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.3643122676579926,
|
| 1182 |
+
"grad_norm": 0.622946767457105,
|
| 1183 |
+
"learning_rate": 9.536096319935109e-06,
|
| 1184 |
+
"loss": 0.22302767634391785,
|
| 1185 |
+
"step": 147,
|
| 1186 |
+
"token_acc": 0.9265117176198283
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.3667905824039653,
|
| 1190 |
+
"grad_norm": 0.5908133002046843,
|
| 1191 |
+
"learning_rate": 9.527443324236403e-06,
|
| 1192 |
+
"loss": 0.21955880522727966,
|
| 1193 |
+
"step": 148,
|
| 1194 |
+
"token_acc": 0.9266511479300744
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 0.36926889714993805,
|
| 1198 |
+
"grad_norm": 0.4522147594338494,
|
| 1199 |
+
"learning_rate": 9.518714372651922e-06,
|
| 1200 |
+
"loss": 0.16142085194587708,
|
| 1201 |
+
"step": 149,
|
| 1202 |
+
"token_acc": 0.9463032367972742
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 0.37174721189591076,
|
| 1206 |
+
"grad_norm": 0.5720588141222915,
|
| 1207 |
+
"learning_rate": 9.509909611625298e-06,
|
| 1208 |
+
"loss": 0.2138223499059677,
|
| 1209 |
+
"step": 150,
|
| 1210 |
+
"token_acc": 0.928613329723388
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.3742255266418835,
|
| 1214 |
+
"grad_norm": 0.4943942859840436,
|
| 1215 |
+
"learning_rate": 9.501029188872005e-06,
|
| 1216 |
+
"loss": 0.17425626516342163,
|
| 1217 |
+
"step": 151,
|
| 1218 |
+
"token_acc": 0.9433260023684655
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 0.37670384138785623,
|
| 1222 |
+
"grad_norm": 0.6527934352729676,
|
| 1223 |
+
"learning_rate": 9.492073253376865e-06,
|
| 1224 |
+
"loss": 0.2078697383403778,
|
| 1225 |
+
"step": 152,
|
| 1226 |
+
"token_acc": 0.9277951545353337
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 0.379182156133829,
|
| 1230 |
+
"grad_norm": 0.4497291806325161,
|
| 1231 |
+
"learning_rate": 9.48304195539158e-06,
|
| 1232 |
+
"loss": 0.16898579895496368,
|
| 1233 |
+
"step": 153,
|
| 1234 |
+
"token_acc": 0.9435264652881707
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.38166047087980176,
|
| 1238 |
+
"grad_norm": 0.6127675342176715,
|
| 1239 |
+
"learning_rate": 9.473935446432169e-06,
|
| 1240 |
+
"loss": 0.19827896356582642,
|
| 1241 |
+
"step": 154,
|
| 1242 |
+
"token_acc": 0.9336007600548929
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.38413878562577447,
|
| 1246 |
+
"grad_norm": 0.7096891416229003,
|
| 1247 |
+
"learning_rate": 9.464753879276467e-06,
|
| 1248 |
+
"loss": 0.233689546585083,
|
| 1249 |
+
"step": 155,
|
| 1250 |
+
"token_acc": 0.9231079921239965
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 0.38661710037174724,
|
| 1254 |
+
"grad_norm": 0.5728479819889174,
|
| 1255 |
+
"learning_rate": 9.455497407961533e-06,
|
| 1256 |
+
"loss": 0.1872008740901947,
|
| 1257 |
+
"step": 156,
|
| 1258 |
+
"token_acc": 0.937733499377335
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.38909541511771994,
|
| 1262 |
+
"grad_norm": 0.6547957251367851,
|
| 1263 |
+
"learning_rate": 9.446166187781077e-06,
|
| 1264 |
+
"loss": 0.22588671743869781,
|
| 1265 |
+
"step": 157,
|
| 1266 |
+
"token_acc": 0.9274172044157645
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.3915737298636927,
|
| 1270 |
+
"grad_norm": 0.6016683712884341,
|
| 1271 |
+
"learning_rate": 9.436760375282858e-06,
|
| 1272 |
+
"loss": 0.20258094370365143,
|
| 1273 |
+
"step": 158,
|
| 1274 |
+
"token_acc": 0.9315724080806221
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 0.3940520446096654,
|
| 1278 |
+
"grad_norm": 0.6675699675761844,
|
| 1279 |
+
"learning_rate": 9.427280128266049e-06,
|
| 1280 |
+
"loss": 0.21901801228523254,
|
| 1281 |
+
"step": 159,
|
| 1282 |
+
"token_acc": 0.9276966951853716
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 0.3965303593556382,
|
| 1286 |
+
"grad_norm": 0.5118656045501407,
|
| 1287 |
+
"learning_rate": 9.417725605778599e-06,
|
| 1288 |
+
"loss": 0.18115557730197906,
|
| 1289 |
+
"step": 160,
|
| 1290 |
+
"token_acc": 0.9402752842609216
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.3990086741016109,
|
| 1294 |
+
"grad_norm": 0.7409945280488002,
|
| 1295 |
+
"learning_rate": 9.40809696811455e-06,
|
| 1296 |
+
"loss": 0.2291238158941269,
|
| 1297 |
+
"step": 161,
|
| 1298 |
+
"token_acc": 0.9199870003249919
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.40148698884758366,
|
| 1302 |
+
"grad_norm": 0.6725407819754182,
|
| 1303 |
+
"learning_rate": 9.398394376811368e-06,
|
| 1304 |
+
"loss": 0.20657752454280853,
|
| 1305 |
+
"step": 162,
|
| 1306 |
+
"token_acc": 0.930211616389014
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 0.40396530359355637,
|
| 1310 |
+
"grad_norm": 0.6967521104190997,
|
| 1311 |
+
"learning_rate": 9.388617994647217e-06,
|
| 1312 |
+
"loss": 0.2295343577861786,
|
| 1313 |
+
"step": 163,
|
| 1314 |
+
"token_acc": 0.9222472442811426
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.40644361833952913,
|
| 1318 |
+
"grad_norm": 0.7643832297278348,
|
| 1319 |
+
"learning_rate": 9.378767985638236e-06,
|
| 1320 |
+
"loss": 0.23990485072135925,
|
| 1321 |
+
"step": 164,
|
| 1322 |
+
"token_acc": 0.9184399456697497
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.40892193308550184,
|
| 1326 |
+
"grad_norm": 0.7715949830831554,
|
| 1327 |
+
"learning_rate": 9.36884451503578e-06,
|
| 1328 |
+
"loss": 0.24740955233573914,
|
| 1329 |
+
"step": 165,
|
| 1330 |
+
"token_acc": 0.917276720351391
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 0.4114002478314746,
|
| 1334 |
+
"grad_norm": 0.5697851408224738,
|
| 1335 |
+
"learning_rate": 9.35884774932366e-06,
|
| 1336 |
+
"loss": 0.21267423033714294,
|
| 1337 |
+
"step": 166,
|
| 1338 |
+
"token_acc": 0.9315465540685608
|
| 1339 |
+
},
|
| 1340 |
+
{
|
| 1341 |
+
"epoch": 0.4138785625774473,
|
| 1342 |
+
"grad_norm": 0.6886247346760123,
|
| 1343 |
+
"learning_rate": 9.348777856215335e-06,
|
| 1344 |
+
"loss": 0.21335873007774353,
|
| 1345 |
+
"step": 167,
|
| 1346 |
+
"token_acc": 0.928654612319951
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.4163568773234201,
|
| 1350 |
+
"grad_norm": 0.6261097332803759,
|
| 1351 |
+
"learning_rate": 9.338635004651108e-06,
|
| 1352 |
+
"loss": 0.20825815200805664,
|
| 1353 |
+
"step": 168,
|
| 1354 |
+
"token_acc": 0.9295616335706257
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.4188351920693928,
|
| 1358 |
+
"grad_norm": 0.6303597982966119,
|
| 1359 |
+
"learning_rate": 9.328419364795295e-06,
|
| 1360 |
+
"loss": 0.2024286389350891,
|
| 1361 |
+
"step": 169,
|
| 1362 |
+
"token_acc": 0.9301979935240724
|
| 1363 |
+
},
|
| 1364 |
+
{
|
| 1365 |
+
"epoch": 0.42131350681536556,
|
| 1366 |
+
"grad_norm": 0.6206905984226895,
|
| 1367 |
+
"learning_rate": 9.318131108033355e-06,
|
| 1368 |
+
"loss": 0.20811644196510315,
|
| 1369 |
+
"step": 170,
|
| 1370 |
+
"token_acc": 0.930644985266834
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.42379182156133827,
|
| 1374 |
+
"grad_norm": 0.5943317451869768,
|
| 1375 |
+
"learning_rate": 9.307770406969032e-06,
|
| 1376 |
+
"loss": 0.19503767788410187,
|
| 1377 |
+
"step": 171,
|
| 1378 |
+
"token_acc": 0.9341296060991106
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.42627013630731103,
|
| 1382 |
+
"grad_norm": 0.6126151366224994,
|
| 1383 |
+
"learning_rate": 9.297337435421447e-06,
|
| 1384 |
+
"loss": 0.20809343457221985,
|
| 1385 |
+
"step": 172,
|
| 1386 |
+
"token_acc": 0.9288450488412182
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 0.42874845105328374,
|
| 1390 |
+
"grad_norm": 0.6788218864204016,
|
| 1391 |
+
"learning_rate": 9.286832368422188e-06,
|
| 1392 |
+
"loss": 0.20489490032196045,
|
| 1393 |
+
"step": 173,
|
| 1394 |
+
"token_acc": 0.9300904655899209
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 0.4312267657992565,
|
| 1398 |
+
"grad_norm": 0.6404215130267227,
|
| 1399 |
+
"learning_rate": 9.276255382212374e-06,
|
| 1400 |
+
"loss": 0.18863528966903687,
|
| 1401 |
+
"step": 174,
|
| 1402 |
+
"token_acc": 0.9369472649852604
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.43370508054522927,
|
| 1406 |
+
"grad_norm": 0.5728255373041314,
|
| 1407 |
+
"learning_rate": 9.265606654239691e-06,
|
| 1408 |
+
"loss": 0.20224620401859283,
|
| 1409 |
+
"step": 175,
|
| 1410 |
+
"token_acc": 0.9329154872624343
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.436183395291202,
|
| 1414 |
+
"grad_norm": 0.6768672942702793,
|
| 1415 |
+
"learning_rate": 9.254886363155429e-06,
|
| 1416 |
+
"loss": 0.22328388690948486,
|
| 1417 |
+
"step": 176,
|
| 1418 |
+
"token_acc": 0.9273435938436938
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 0.43866171003717475,
|
| 1422 |
+
"grad_norm": 0.5556571349300881,
|
| 1423 |
+
"learning_rate": 9.244094688811464e-06,
|
| 1424 |
+
"loss": 0.20803725719451904,
|
| 1425 |
+
"step": 177,
|
| 1426 |
+
"token_acc": 0.932695288282703
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.44114002478314746,
|
| 1430 |
+
"grad_norm": 0.6836526040258791,
|
| 1431 |
+
"learning_rate": 9.233231812257266e-06,
|
| 1432 |
+
"loss": 0.23436599969863892,
|
| 1433 |
+
"step": 178,
|
| 1434 |
+
"token_acc": 0.9234674588171753
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.4436183395291202,
|
| 1438 |
+
"grad_norm": 0.5115737682699049,
|
| 1439 |
+
"learning_rate": 9.222297915736835e-06,
|
| 1440 |
+
"loss": 0.18506181240081787,
|
| 1441 |
+
"step": 179,
|
| 1442 |
+
"token_acc": 0.9362190523036563
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 0.44609665427509293,
|
| 1446 |
+
"grad_norm": 0.6061460775954828,
|
| 1447 |
+
"learning_rate": 9.211293182685668e-06,
|
| 1448 |
+
"loss": 0.215117409825325,
|
| 1449 |
+
"step": 180,
|
| 1450 |
+
"token_acc": 0.9277006751687922
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 0.4485749690210657,
|
| 1454 |
+
"grad_norm": 0.591950015825152,
|
| 1455 |
+
"learning_rate": 9.200217797727663e-06,
|
| 1456 |
+
"loss": 0.22198429703712463,
|
| 1457 |
+
"step": 181,
|
| 1458 |
+
"token_acc": 0.9248879908635684
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.4510532837670384,
|
| 1462 |
+
"grad_norm": 0.4538802292516009,
|
| 1463 |
+
"learning_rate": 9.189071946672034e-06,
|
| 1464 |
+
"loss": 0.16771917045116425,
|
| 1465 |
+
"step": 182,
|
| 1466 |
+
"token_acc": 0.9441254125412541
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.45353159851301117,
|
| 1470 |
+
"grad_norm": 0.6128474793597602,
|
| 1471 |
+
"learning_rate": 9.177855816510184e-06,
|
| 1472 |
+
"loss": 0.19308242201805115,
|
| 1473 |
+
"step": 183,
|
| 1474 |
+
"token_acc": 0.9330043053659561
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 0.4560099132589839,
|
| 1478 |
+
"grad_norm": 0.55222460978056,
|
| 1479 |
+
"learning_rate": 9.166569595412576e-06,
|
| 1480 |
+
"loss": 0.2128337025642395,
|
| 1481 |
+
"step": 184,
|
| 1482 |
+
"token_acc": 0.9311995099352961
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 0.45848822800495664,
|
| 1486 |
+
"grad_norm": 0.6386137881232289,
|
| 1487 |
+
"learning_rate": 9.155213472725572e-06,
|
| 1488 |
+
"loss": 0.2336462289094925,
|
| 1489 |
+
"step": 185,
|
| 1490 |
+
"token_acc": 0.9228890272522631
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 0.46096654275092935,
|
| 1494 |
+
"grad_norm": 0.6127306575194315,
|
| 1495 |
+
"learning_rate": 9.143787638968255e-06,
|
| 1496 |
+
"loss": 0.21513040363788605,
|
| 1497 |
+
"step": 186,
|
| 1498 |
+
"token_acc": 0.9265172550575168
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 0.4634448574969021,
|
| 1502 |
+
"grad_norm": 0.575851496597772,
|
| 1503 |
+
"learning_rate": 9.132292285829237e-06,
|
| 1504 |
+
"loss": 0.20915384590625763,
|
| 1505 |
+
"step": 187,
|
| 1506 |
+
"token_acc": 0.931789091209381
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 0.46592317224287483,
|
| 1510 |
+
"grad_norm": 0.6866894639350581,
|
| 1511 |
+
"learning_rate": 9.120727606163443e-06,
|
| 1512 |
+
"loss": 0.22709913551807404,
|
| 1513 |
+
"step": 188,
|
| 1514 |
+
"token_acc": 0.923712540005819
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.4684014869888476,
|
| 1518 |
+
"grad_norm": 0.4616829532580403,
|
| 1519 |
+
"learning_rate": 9.109093793988866e-06,
|
| 1520 |
+
"loss": 0.18237143754959106,
|
| 1521 |
+
"step": 189,
|
| 1522 |
+
"token_acc": 0.9395834018888414
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.4708798017348203,
|
| 1526 |
+
"grad_norm": 0.548795282831021,
|
| 1527 |
+
"learning_rate": 9.097391044483325e-06,
|
| 1528 |
+
"loss": 0.20833724737167358,
|
| 1529 |
+
"step": 190,
|
| 1530 |
+
"token_acc": 0.9314953134153485
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 0.47335811648079307,
|
| 1534 |
+
"grad_norm": 0.6327097980649957,
|
| 1535 |
+
"learning_rate": 9.085619553981186e-06,
|
| 1536 |
+
"loss": 0.2095174491405487,
|
| 1537 |
+
"step": 191,
|
| 1538 |
+
"token_acc": 0.9328789958815454
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 0.4758364312267658,
|
| 1542 |
+
"grad_norm": 0.6160991485228637,
|
| 1543 |
+
"learning_rate": 9.073779519970066e-06,
|
| 1544 |
+
"loss": 0.19501489400863647,
|
| 1545 |
+
"step": 192,
|
| 1546 |
+
"token_acc": 0.9346656418139893
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 0.47831474597273854,
|
| 1550 |
+
"grad_norm": 0.5960561111706792,
|
| 1551 |
+
"learning_rate": 9.061871141087514e-06,
|
| 1552 |
+
"loss": 0.1809541881084442,
|
| 1553 |
+
"step": 193,
|
| 1554 |
+
"token_acc": 0.9378167443746199
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 0.48079306071871125,
|
| 1558 |
+
"grad_norm": 0.7276209164820154,
|
| 1559 |
+
"learning_rate": 9.049894617117697e-06,
|
| 1560 |
+
"loss": 0.24918077886104584,
|
| 1561 |
+
"step": 194,
|
| 1562 |
+
"token_acc": 0.9183673469387755
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 0.483271375464684,
|
| 1566 |
+
"grad_norm": 0.554916168082306,
|
| 1567 |
+
"learning_rate": 9.037850148988025e-06,
|
| 1568 |
+
"loss": 0.19706270098686218,
|
| 1569 |
+
"step": 195,
|
| 1570 |
+
"token_acc": 0.9340307429547395
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.4857496902106567,
|
| 1574 |
+
"grad_norm": 0.5525088244186964,
|
| 1575 |
+
"learning_rate": 9.025737938765803e-06,
|
| 1576 |
+
"loss": 0.1933058351278305,
|
| 1577 |
+
"step": 196,
|
| 1578 |
+
"token_acc": 0.9362774155305276
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.4882280049566295,
|
| 1582 |
+
"grad_norm": 0.6615575939404142,
|
| 1583 |
+
"learning_rate": 9.013558189654819e-06,
|
| 1584 |
+
"loss": 0.22180849313735962,
|
| 1585 |
+
"step": 197,
|
| 1586 |
+
"token_acc": 0.9267689831580157
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 0.49070631970260226,
|
| 1590 |
+
"grad_norm": 0.5699662005218245,
|
| 1591 |
+
"learning_rate": 9.001311105991955e-06,
|
| 1592 |
+
"loss": 0.1945004016160965,
|
| 1593 |
+
"step": 198,
|
| 1594 |
+
"token_acc": 0.9362623461295188
|
| 1595 |
+
},
|
| 1596 |
+
{
|
| 1597 |
+
"epoch": 0.49318463444857497,
|
| 1598 |
+
"grad_norm": 0.5168450613257835,
|
| 1599 |
+
"learning_rate": 8.988996893243742e-06,
|
| 1600 |
+
"loss": 0.18494272232055664,
|
| 1601 |
+
"step": 199,
|
| 1602 |
+
"token_acc": 0.9360994536384512
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 0.49566294919454773,
|
| 1606 |
+
"grad_norm": 0.6441504216639822,
|
| 1607 |
+
"learning_rate": 8.976615758002924e-06,
|
| 1608 |
+
"loss": 0.2066703736782074,
|
| 1609 |
+
"step": 200,
|
| 1610 |
+
"token_acc": 0.9319045189091115
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 0.49814126394052044,
|
| 1614 |
+
"grad_norm": 0.5425403166000218,
|
| 1615 |
+
"learning_rate": 8.964167907984989e-06,
|
| 1616 |
+
"loss": 0.18388336896896362,
|
| 1617 |
+
"step": 201,
|
| 1618 |
+
"token_acc": 0.9378851695854578
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 0.5006195786864932,
|
| 1622 |
+
"grad_norm": 0.5670187583380683,
|
| 1623 |
+
"learning_rate": 8.951653552024681e-06,
|
| 1624 |
+
"loss": 0.20241166651248932,
|
| 1625 |
+
"step": 202,
|
| 1626 |
+
"token_acc": 0.9331740169454703
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.5030978934324659,
|
| 1630 |
+
"grad_norm": 0.6094012967081582,
|
| 1631 |
+
"learning_rate": 8.939072900072501e-06,
|
| 1632 |
+
"loss": 0.21230348944664001,
|
| 1633 |
+
"step": 203,
|
| 1634 |
+
"token_acc": 0.9279327178693992
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.5055762081784386,
|
| 1638 |
+
"grad_norm": 0.6303810872406085,
|
| 1639 |
+
"learning_rate": 8.926426163191181e-06,
|
| 1640 |
+
"loss": 0.21831145882606506,
|
| 1641 |
+
"step": 204,
|
| 1642 |
+
"token_acc": 0.9257009113091977
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"epoch": 0.5080545229244114,
|
| 1646 |
+
"grad_norm": 0.6156218842788619,
|
| 1647 |
+
"learning_rate": 8.91371355355215e-06,
|
| 1648 |
+
"loss": 0.1960335373878479,
|
| 1649 |
+
"step": 205,
|
| 1650 |
+
"token_acc": 0.9342589670768907
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 0.5105328376703842,
|
| 1654 |
+
"grad_norm": 0.6627128477954752,
|
| 1655 |
+
"learning_rate": 8.900935284431962e-06,
|
| 1656 |
+
"loss": 0.19027288258075714,
|
| 1657 |
+
"step": 206,
|
| 1658 |
+
"token_acc": 0.9349287287055279
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 0.5130111524163569,
|
| 1662 |
+
"grad_norm": 0.6340261974079812,
|
| 1663 |
+
"learning_rate": 8.88809157020873e-06,
|
| 1664 |
+
"loss": 0.20443886518478394,
|
| 1665 |
+
"step": 207,
|
| 1666 |
+
"token_acc": 0.9333368521059854
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 0.5154894671623296,
|
| 1670 |
+
"grad_norm": 0.5767153471346033,
|
| 1671 |
+
"learning_rate": 8.87518262635852e-06,
|
| 1672 |
+
"loss": 0.18431372940540314,
|
| 1673 |
+
"step": 208,
|
| 1674 |
+
"token_acc": 0.9386541227695059
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 0.5179677819083024,
|
| 1678 |
+
"grad_norm": 0.6050668883402591,
|
| 1679 |
+
"learning_rate": 8.862208669451748e-06,
|
| 1680 |
+
"loss": 0.18826642632484436,
|
| 1681 |
+
"step": 209,
|
| 1682 |
+
"token_acc": 0.936156656188939
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.5204460966542751,
|
| 1686 |
+
"grad_norm": 0.673772081004713,
|
| 1687 |
+
"learning_rate": 8.849169917149532e-06,
|
| 1688 |
+
"loss": 0.20627078413963318,
|
| 1689 |
+
"step": 210,
|
| 1690 |
+
"token_acc": 0.930515419452232
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.5229244114002478,
|
| 1694 |
+
"grad_norm": 0.6215232261448561,
|
| 1695 |
+
"learning_rate": 8.836066588200052e-06,
|
| 1696 |
+
"loss": 0.2205003947019577,
|
| 1697 |
+
"step": 211,
|
| 1698 |
+
"token_acc": 0.9264755338826299
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 0.5254027261462205,
|
| 1702 |
+
"grad_norm": 0.7248808212519059,
|
| 1703 |
+
"learning_rate": 8.822898902434873e-06,
|
| 1704 |
+
"loss": 0.22443747520446777,
|
| 1705 |
+
"step": 212,
|
| 1706 |
+
"token_acc": 0.9233211728144846
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 0.5278810408921933,
|
| 1710 |
+
"grad_norm": 0.6280987767213878,
|
| 1711 |
+
"learning_rate": 8.809667080765262e-06,
|
| 1712 |
+
"loss": 0.18426331877708435,
|
| 1713 |
+
"step": 213,
|
| 1714 |
+
"token_acc": 0.9382728562740725
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.530359355638166,
|
| 1718 |
+
"grad_norm": 0.5978638418562406,
|
| 1719 |
+
"learning_rate": 8.796371345178477e-06,
|
| 1720 |
+
"loss": 0.1726296991109848,
|
| 1721 |
+
"step": 214,
|
| 1722 |
+
"token_acc": 0.9419966825627203
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 0.5328376703841388,
|
| 1726 |
+
"grad_norm": 0.6527625381905422,
|
| 1727 |
+
"learning_rate": 8.783011918734048e-06,
|
| 1728 |
+
"loss": 0.20930975675582886,
|
| 1729 |
+
"step": 215,
|
| 1730 |
+
"token_acc": 0.9278489944725391
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 0.5353159851301115,
|
| 1734 |
+
"grad_norm": 0.6680676347048132,
|
| 1735 |
+
"learning_rate": 8.76958902556003e-06,
|
| 1736 |
+
"loss": 0.20613038539886475,
|
| 1737 |
+
"step": 216,
|
| 1738 |
+
"token_acc": 0.9301850380292882
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.5377942998760843,
|
| 1742 |
+
"grad_norm": 0.5772203949335407,
|
| 1743 |
+
"learning_rate": 8.756102890849246e-06,
|
| 1744 |
+
"loss": 0.20074130594730377,
|
| 1745 |
+
"step": 217,
|
| 1746 |
+
"token_acc": 0.9329715061058345
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.540272614622057,
|
| 1750 |
+
"grad_norm": 0.630539379087199,
|
| 1751 |
+
"learning_rate": 8.742553740855507e-06,
|
| 1752 |
+
"loss": 0.20127221941947937,
|
| 1753 |
+
"step": 218,
|
| 1754 |
+
"token_acc": 0.9320888316704217
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 0.5427509293680297,
|
| 1758 |
+
"grad_norm": 0.5573207953422571,
|
| 1759 |
+
"learning_rate": 8.728941802889816e-06,
|
| 1760 |
+
"loss": 0.20900793373584747,
|
| 1761 |
+
"step": 219,
|
| 1762 |
+
"token_acc": 0.928890106449593
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 0.5452292441140025,
|
| 1766 |
+
"grad_norm": 0.706977642744395,
|
| 1767 |
+
"learning_rate": 8.715267305316559e-06,
|
| 1768 |
+
"loss": 0.2161339521408081,
|
| 1769 |
+
"step": 220,
|
| 1770 |
+
"token_acc": 0.9270858671855996
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.5477075588599752,
|
| 1774 |
+
"grad_norm": 0.7323208978556871,
|
| 1775 |
+
"learning_rate": 8.701530477549666e-06,
|
| 1776 |
+
"loss": 0.23490123450756073,
|
| 1777 |
+
"step": 221,
|
| 1778 |
+
"token_acc": 0.920802465088835
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 0.550185873605948,
|
| 1782 |
+
"grad_norm": 0.678466158061068,
|
| 1783 |
+
"learning_rate": 8.68773155004877e-06,
|
| 1784 |
+
"loss": 0.20276901125907898,
|
| 1785 |
+
"step": 222,
|
| 1786 |
+
"token_acc": 0.9296047532937226
|
| 1787 |
+
},
|
| 1788 |
+
{
|
| 1789 |
+
"epoch": 0.5526641883519207,
|
| 1790 |
+
"grad_norm": 0.6838979877015406,
|
| 1791 |
+
"learning_rate": 8.673870754315336e-06,
|
| 1792 |
+
"loss": 0.19441470503807068,
|
| 1793 |
+
"step": 223,
|
| 1794 |
+
"token_acc": 0.934516396845164
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.5551425030978935,
|
| 1798 |
+
"grad_norm": 0.5146729571241255,
|
| 1799 |
+
"learning_rate": 8.659948322888778e-06,
|
| 1800 |
+
"loss": 0.1790175884962082,
|
| 1801 |
+
"step": 224,
|
| 1802 |
+
"token_acc": 0.9439331157639984
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.5576208178438662,
|
| 1806 |
+
"grad_norm": 0.5939369307546807,
|
| 1807 |
+
"learning_rate": 8.645964489342558e-06,
|
| 1808 |
+
"loss": 0.18272292613983154,
|
| 1809 |
+
"step": 225,
|
| 1810 |
+
"token_acc": 0.9374338904167548
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"epoch": 0.5600991325898389,
|
| 1814 |
+
"grad_norm": 0.7314426384555642,
|
| 1815 |
+
"learning_rate": 8.631919488280267e-06,
|
| 1816 |
+
"loss": 0.2382984757423401,
|
| 1817 |
+
"step": 226,
|
| 1818 |
+
"token_acc": 0.9210972508174882
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 0.5625774473358116,
|
| 1822 |
+
"grad_norm": 0.55314163014409,
|
| 1823 |
+
"learning_rate": 8.61781355533169e-06,
|
| 1824 |
+
"loss": 0.18015334010124207,
|
| 1825 |
+
"step": 227,
|
| 1826 |
+
"token_acc": 0.9404659188955996
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 0.5650557620817844,
|
| 1830 |
+
"grad_norm": 0.5790780923764937,
|
| 1831 |
+
"learning_rate": 8.60364692714885e-06,
|
| 1832 |
+
"loss": 0.22071409225463867,
|
| 1833 |
+
"step": 228,
|
| 1834 |
+
"token_acc": 0.9261137420896023
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 0.5675340768277571,
|
| 1838 |
+
"grad_norm": 0.5388610489460713,
|
| 1839 |
+
"learning_rate": 8.589419841402046e-06,
|
| 1840 |
+
"loss": 0.19880539178848267,
|
| 1841 |
+
"step": 229,
|
| 1842 |
+
"token_acc": 0.9337815810920945
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 0.5700123915737298,
|
| 1846 |
+
"grad_norm": 0.5062223819784819,
|
| 1847 |
+
"learning_rate": 8.575132536775854e-06,
|
| 1848 |
+
"loss": 0.1726711392402649,
|
| 1849 |
+
"step": 230,
|
| 1850 |
+
"token_acc": 0.941608678739681
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.5724907063197026,
|
| 1854 |
+
"grad_norm": 0.5700260555970162,
|
| 1855 |
+
"learning_rate": 8.560785252965131e-06,
|
| 1856 |
+
"loss": 0.17924195528030396,
|
| 1857 |
+
"step": 231,
|
| 1858 |
+
"token_acc": 0.9390111312451462
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.5749690210656754,
|
| 1862 |
+
"grad_norm": 0.5687606803661089,
|
| 1863 |
+
"learning_rate": 8.546378230670992e-06,
|
| 1864 |
+
"loss": 0.20395219326019287,
|
| 1865 |
+
"step": 232,
|
| 1866 |
+
"token_acc": 0.9305410912383971
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 0.5774473358116481,
|
| 1870 |
+
"grad_norm": 0.5400095751423698,
|
| 1871 |
+
"learning_rate": 8.531911711596767e-06,
|
| 1872 |
+
"loss": 0.17791907489299774,
|
| 1873 |
+
"step": 233,
|
| 1874 |
+
"token_acc": 0.9411820152700537
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 0.5799256505576208,
|
| 1878 |
+
"grad_norm": 0.6627759646192548,
|
| 1879 |
+
"learning_rate": 8.517385938443955e-06,
|
| 1880 |
+
"loss": 0.21611914038658142,
|
| 1881 |
+
"step": 234,
|
| 1882 |
+
"token_acc": 0.9283404550179004
|
| 1883 |
+
},
|
| 1884 |
+
{
|
| 1885 |
+
"epoch": 0.5824039653035935,
|
| 1886 |
+
"grad_norm": 0.6250073221544682,
|
| 1887 |
+
"learning_rate": 8.502801154908142e-06,
|
| 1888 |
+
"loss": 0.21550783514976501,
|
| 1889 |
+
"step": 235,
|
| 1890 |
+
"token_acc": 0.9273776471228701
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 0.5848822800495663,
|
| 1894 |
+
"grad_norm": 0.5646934768164484,
|
| 1895 |
+
"learning_rate": 8.488157605674924e-06,
|
| 1896 |
+
"loss": 0.18716537952423096,
|
| 1897 |
+
"step": 236,
|
| 1898 |
+
"token_acc": 0.9344546381243629
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 0.587360594795539,
|
| 1902 |
+
"grad_norm": 0.6528211084204466,
|
| 1903 |
+
"learning_rate": 8.47345553641579e-06,
|
| 1904 |
+
"loss": 0.21393099427223206,
|
| 1905 |
+
"step": 237,
|
| 1906 |
+
"token_acc": 0.9265933559790431
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.5898389095415117,
|
| 1910 |
+
"grad_norm": 0.6034916566195073,
|
| 1911 |
+
"learning_rate": 8.45869519378401e-06,
|
| 1912 |
+
"loss": 0.19407245516777039,
|
| 1913 |
+
"step": 238,
|
| 1914 |
+
"token_acc": 0.9347174540896954
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.5923172242874845,
|
| 1918 |
+
"grad_norm": 0.626877334263163,
|
| 1919 |
+
"learning_rate": 8.443876825410488e-06,
|
| 1920 |
+
"loss": 0.2260097861289978,
|
| 1921 |
+
"step": 239,
|
| 1922 |
+
"token_acc": 0.9232705620370819
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 0.5947955390334573,
|
| 1926 |
+
"grad_norm": 1.171144060805512,
|
| 1927 |
+
"learning_rate": 8.42900067989962e-06,
|
| 1928 |
+
"loss": 0.23795972764492035,
|
| 1929 |
+
"step": 240,
|
| 1930 |
+
"token_acc": 0.9191248770894789
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"epoch": 0.59727385377943,
|
| 1934 |
+
"grad_norm": 0.5935481164796732,
|
| 1935 |
+
"learning_rate": 8.414067006825108e-06,
|
| 1936 |
+
"loss": 0.1915152370929718,
|
| 1937 |
+
"step": 241,
|
| 1938 |
+
"token_acc": 0.9368189491993656
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 0.5997521685254027,
|
| 1942 |
+
"grad_norm": 0.5177092917429869,
|
| 1943 |
+
"learning_rate": 8.39907605672579e-06,
|
| 1944 |
+
"loss": 0.1808878481388092,
|
| 1945 |
+
"step": 242,
|
| 1946 |
+
"token_acc": 0.9389654041646172
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 0.6022304832713755,
|
| 1950 |
+
"grad_norm": 0.5689840506690478,
|
| 1951 |
+
"learning_rate": 8.384028081101419e-06,
|
| 1952 |
+
"loss": 0.21098077297210693,
|
| 1953 |
+
"step": 243,
|
| 1954 |
+
"token_acc": 0.9286966919091272
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 0.6047087980173482,
|
| 1958 |
+
"grad_norm": 0.6625490667351845,
|
| 1959 |
+
"learning_rate": 8.368923332408458e-06,
|
| 1960 |
+
"loss": 0.23235644400119781,
|
| 1961 |
+
"step": 244,
|
| 1962 |
+
"token_acc": 0.920873431256683
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.6071871127633209,
|
| 1966 |
+
"grad_norm": 0.6358060572009174,
|
| 1967 |
+
"learning_rate": 8.353762064055832e-06,
|
| 1968 |
+
"loss": 0.1980096697807312,
|
| 1969 |
+
"step": 245,
|
| 1970 |
+
"token_acc": 0.9334184604159066
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.6096654275092936,
|
| 1974 |
+
"grad_norm": 0.5563438771858398,
|
| 1975 |
+
"learning_rate": 8.338544530400693e-06,
|
| 1976 |
+
"loss": 0.20029008388519287,
|
| 1977 |
+
"step": 246,
|
| 1978 |
+
"token_acc": 0.9327420217507577
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 0.6121437422552665,
|
| 1982 |
+
"grad_norm": 0.4168473960177944,
|
| 1983 |
+
"learning_rate": 8.323270986744137e-06,
|
| 1984 |
+
"loss": 0.1664401888847351,
|
| 1985 |
+
"step": 247,
|
| 1986 |
+
"token_acc": 0.9462456564435715
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 0.6146220570012392,
|
| 1990 |
+
"grad_norm": 0.5004898966926267,
|
| 1991 |
+
"learning_rate": 8.307941689326926e-06,
|
| 1992 |
+
"loss": 0.1937483549118042,
|
| 1993 |
+
"step": 248,
|
| 1994 |
+
"token_acc": 0.9359970674486804
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 0.6171003717472119,
|
| 1998 |
+
"grad_norm": 0.7477820522230303,
|
| 1999 |
+
"learning_rate": 8.292556895325195e-06,
|
| 2000 |
+
"loss": 0.21603208780288696,
|
| 2001 |
+
"step": 249,
|
| 2002 |
+
"token_acc": 0.9262365090457334
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 0.6195786864931846,
|
| 2006 |
+
"grad_norm": 0.5818096175116726,
|
| 2007 |
+
"learning_rate": 8.277116862846127e-06,
|
| 2008 |
+
"loss": 0.21266460418701172,
|
| 2009 |
+
"step": 250,
|
| 2010 |
+
"token_acc": 0.9294168177913524
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 0.6220570012391574,
|
| 2014 |
+
"grad_norm": 0.5937754927981138,
|
| 2015 |
+
"learning_rate": 8.261621850923634e-06,
|
| 2016 |
+
"loss": 0.22889626026153564,
|
| 2017 |
+
"step": 251,
|
| 2018 |
+
"token_acc": 0.9259275349726301
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.6245353159851301,
|
| 2022 |
+
"grad_norm": 0.5508671109709956,
|
| 2023 |
+
"learning_rate": 8.246072119514002e-06,
|
| 2024 |
+
"loss": 0.1992526799440384,
|
| 2025 |
+
"step": 252,
|
| 2026 |
+
"token_acc": 0.9345569370436155
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.6270136307311028,
|
| 2030 |
+
"grad_norm": 0.6532930689067593,
|
| 2031 |
+
"learning_rate": 8.230467929491533e-06,
|
| 2032 |
+
"loss": 0.1896224319934845,
|
| 2033 |
+
"step": 253,
|
| 2034 |
+
"token_acc": 0.9324170298357358
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 0.6294919454770755,
|
| 2038 |
+
"grad_norm": 0.5866405166556274,
|
| 2039 |
+
"learning_rate": 8.214809542644173e-06,
|
| 2040 |
+
"loss": 0.20115667581558228,
|
| 2041 |
+
"step": 254,
|
| 2042 |
+
"token_acc": 0.933378196500673
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 0.6319702602230484,
|
| 2046 |
+
"grad_norm": 0.6222964865692054,
|
| 2047 |
+
"learning_rate": 8.19909722166911e-06,
|
| 2048 |
+
"loss": 0.2246522754430771,
|
| 2049 |
+
"step": 255,
|
| 2050 |
+
"token_acc": 0.9247518736074539
|
| 2051 |
+
},
|
| 2052 |
+
{
|
| 2053 |
+
"epoch": 0.6344485749690211,
|
| 2054 |
+
"grad_norm": 0.600425273762884,
|
| 2055 |
+
"learning_rate": 8.183331230168376e-06,
|
| 2056 |
+
"loss": 0.1945718377828598,
|
| 2057 |
+
"step": 256,
|
| 2058 |
+
"token_acc": 0.9320788441487513
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 0.6369268897149938,
|
| 2062 |
+
"grad_norm": 0.5667425615175953,
|
| 2063 |
+
"learning_rate": 8.167511832644423e-06,
|
| 2064 |
+
"loss": 0.1906515657901764,
|
| 2065 |
+
"step": 257,
|
| 2066 |
+
"token_acc": 0.9347599659123189
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 0.6394052044609665,
|
| 2070 |
+
"grad_norm": 0.5182925994116764,
|
| 2071 |
+
"learning_rate": 8.151639294495678e-06,
|
| 2072 |
+
"loss": 0.17993804812431335,
|
| 2073 |
+
"step": 258,
|
| 2074 |
+
"token_acc": 0.938014381010136
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.6418835192069393,
|
| 2078 |
+
"grad_norm": 0.49728703734755825,
|
| 2079 |
+
"learning_rate": 8.135713882012102e-06,
|
| 2080 |
+
"loss": 0.15953490138053894,
|
| 2081 |
+
"step": 259,
|
| 2082 |
+
"token_acc": 0.9461400359066428
|
| 2083 |
+
},
|
| 2084 |
+
{
|
| 2085 |
+
"epoch": 0.644361833952912,
|
| 2086 |
+
"grad_norm": 0.46783465054741635,
|
| 2087 |
+
"learning_rate": 8.11973586237071e-06,
|
| 2088 |
+
"loss": 0.17956344783306122,
|
| 2089 |
+
"step": 260,
|
| 2090 |
+
"token_acc": 0.9405183542418325
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 0.6468401486988847,
|
| 2094 |
+
"grad_norm": 0.7319638710672299,
|
| 2095 |
+
"learning_rate": 8.103705503631103e-06,
|
| 2096 |
+
"loss": 0.2269260287284851,
|
| 2097 |
+
"step": 261,
|
| 2098 |
+
"token_acc": 0.9224162817551963
|
| 2099 |
+
},
|
| 2100 |
+
{
|
| 2101 |
+
"epoch": 0.6493184634448576,
|
| 2102 |
+
"grad_norm": 0.4995015656344108,
|
| 2103 |
+
"learning_rate": 8.08762307473096e-06,
|
| 2104 |
+
"loss": 0.1820226013660431,
|
| 2105 |
+
"step": 262,
|
| 2106 |
+
"token_acc": 0.9379474940334129
|
| 2107 |
+
},
|
| 2108 |
+
{
|
| 2109 |
+
"epoch": 0.6517967781908303,
|
| 2110 |
+
"grad_norm": 0.5788698092106506,
|
| 2111 |
+
"learning_rate": 8.071488845481528e-06,
|
| 2112 |
+
"loss": 0.18767325580120087,
|
| 2113 |
+
"step": 263,
|
| 2114 |
+
"token_acc": 0.9344489447878918
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 0.654275092936803,
|
| 2118 |
+
"grad_norm": 0.6162397655104307,
|
| 2119 |
+
"learning_rate": 8.055303086563095e-06,
|
| 2120 |
+
"loss": 0.210616797208786,
|
| 2121 |
+
"step": 264,
|
| 2122 |
+
"token_acc": 0.927035175879397
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 0.6567534076827757,
|
| 2126 |
+
"grad_norm": 0.5590643590623036,
|
| 2127 |
+
"learning_rate": 8.039066069520455e-06,
|
| 2128 |
+
"loss": 0.19739603996276855,
|
| 2129 |
+
"step": 265,
|
| 2130 |
+
"token_acc": 0.9343771218596477
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.6592317224287485,
|
| 2134 |
+
"grad_norm": 0.5474408000165578,
|
| 2135 |
+
"learning_rate": 8.022778066758348e-06,
|
| 2136 |
+
"loss": 0.1951625943183899,
|
| 2137 |
+
"step": 266,
|
| 2138 |
+
"token_acc": 0.9340235208645506
|
| 2139 |
+
},
|
| 2140 |
+
{
|
| 2141 |
+
"epoch": 0.6617100371747212,
|
| 2142 |
+
"grad_norm": 0.5263224136495609,
|
| 2143 |
+
"learning_rate": 8.006439351536884e-06,
|
| 2144 |
+
"loss": 0.15536092221736908,
|
| 2145 |
+
"step": 267,
|
| 2146 |
+
"token_acc": 0.9457600874396576
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 0.6641883519206939,
|
| 2150 |
+
"grad_norm": 0.6000925509427537,
|
| 2151 |
+
"learning_rate": 7.99005019796697e-06,
|
| 2152 |
+
"loss": 0.19458061456680298,
|
| 2153 |
+
"step": 268,
|
| 2154 |
+
"token_acc": 0.9349200637433814
|
| 2155 |
+
},
|
| 2156 |
+
{
|
| 2157 |
+
"epoch": 0.6666666666666666,
|
| 2158 |
+
"grad_norm": 0.6109362743814596,
|
| 2159 |
+
"learning_rate": 7.973610881005702e-06,
|
| 2160 |
+
"loss": 0.22864320874214172,
|
| 2161 |
+
"step": 269,
|
| 2162 |
+
"token_acc": 0.9233961764316305
|
| 2163 |
+
},
|
| 2164 |
+
{
|
| 2165 |
+
"epoch": 0.6691449814126395,
|
| 2166 |
+
"grad_norm": 0.5515360866507103,
|
| 2167 |
+
"learning_rate": 7.95712167645176e-06,
|
| 2168 |
+
"loss": 0.17370453476905823,
|
| 2169 |
+
"step": 270,
|
| 2170 |
+
"token_acc": 0.9400685735756893
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 0.6716232961586122,
|
| 2174 |
+
"grad_norm": 0.5517581110380569,
|
| 2175 |
+
"learning_rate": 7.940582860940771e-06,
|
| 2176 |
+
"loss": 0.1959170252084732,
|
| 2177 |
+
"step": 271,
|
| 2178 |
+
"token_acc": 0.9334157210800285
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"epoch": 0.6741016109045849,
|
| 2182 |
+
"grad_norm": 0.6023695000385836,
|
| 2183 |
+
"learning_rate": 7.923994711940682e-06,
|
| 2184 |
+
"loss": 0.20243093371391296,
|
| 2185 |
+
"step": 272,
|
| 2186 |
+
"token_acc": 0.9320584504064277
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.6765799256505576,
|
| 2190 |
+
"grad_norm": 0.579838691115063,
|
| 2191 |
+
"learning_rate": 7.907357507747087e-06,
|
| 2192 |
+
"loss": 0.1811404824256897,
|
| 2193 |
+
"step": 273,
|
| 2194 |
+
"token_acc": 0.9389541799495646
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 0.6790582403965304,
|
| 2198 |
+
"grad_norm": 0.5410980235074818,
|
| 2199 |
+
"learning_rate": 7.890671527478575e-06,
|
| 2200 |
+
"loss": 0.17881739139556885,
|
| 2201 |
+
"step": 274,
|
| 2202 |
+
"token_acc": 0.9382754069511658
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 0.6815365551425031,
|
| 2206 |
+
"grad_norm": 0.6303396215802266,
|
| 2207 |
+
"learning_rate": 7.873937051072037e-06,
|
| 2208 |
+
"loss": 0.22740472853183746,
|
| 2209 |
+
"step": 275,
|
| 2210 |
+
"token_acc": 0.9244822146455651
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 0.6840148698884758,
|
| 2214 |
+
"grad_norm": 0.534856159094388,
|
| 2215 |
+
"learning_rate": 7.857154359277972e-06,
|
| 2216 |
+
"loss": 0.19125010073184967,
|
| 2217 |
+
"step": 276,
|
| 2218 |
+
"token_acc": 0.9334574028122415
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 0.6864931846344485,
|
| 2222 |
+
"grad_norm": 0.58199519274568,
|
| 2223 |
+
"learning_rate": 7.84032373365578e-06,
|
| 2224 |
+
"loss": 0.20449823141098022,
|
| 2225 |
+
"step": 277,
|
| 2226 |
+
"token_acc": 0.9327064485939659
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 0.6889714993804213,
|
| 2230 |
+
"grad_norm": 0.7394397701801595,
|
| 2231 |
+
"learning_rate": 7.823445456569036e-06,
|
| 2232 |
+
"loss": 0.2184322476387024,
|
| 2233 |
+
"step": 278,
|
| 2234 |
+
"token_acc": 0.9259209645010047
|
| 2235 |
+
},
|
| 2236 |
+
{
|
| 2237 |
+
"epoch": 0.6914498141263941,
|
| 2238 |
+
"grad_norm": 0.6521911100329248,
|
| 2239 |
+
"learning_rate": 7.80651981118075e-06,
|
| 2240 |
+
"loss": 0.21323230862617493,
|
| 2241 |
+
"step": 279,
|
| 2242 |
+
"token_acc": 0.9276371054842194
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.6939281288723668,
|
| 2246 |
+
"grad_norm": 0.5697117731472794,
|
| 2247 |
+
"learning_rate": 7.789547081448622e-06,
|
| 2248 |
+
"loss": 0.20801597833633423,
|
| 2249 |
+
"step": 280,
|
| 2250 |
+
"token_acc": 0.930193800295224
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 0.6964064436183395,
|
| 2254 |
+
"grad_norm": 0.656090212866248,
|
| 2255 |
+
"learning_rate": 7.772527552120274e-06,
|
| 2256 |
+
"loss": 0.21424278616905212,
|
| 2257 |
+
"step": 281,
|
| 2258 |
+
"token_acc": 0.9280575539568345
|
| 2259 |
+
},
|
| 2260 |
+
{
|
| 2261 |
+
"epoch": 0.6988847583643123,
|
| 2262 |
+
"grad_norm": 0.5743969737426162,
|
| 2263 |
+
"learning_rate": 7.755461508728473e-06,
|
| 2264 |
+
"loss": 0.19612297415733337,
|
| 2265 |
+
"step": 282,
|
| 2266 |
+
"token_acc": 0.9327879292607651
|
| 2267 |
+
},
|
| 2268 |
+
{
|
| 2269 |
+
"epoch": 0.701363073110285,
|
| 2270 |
+
"grad_norm": 0.5792095358639111,
|
| 2271 |
+
"learning_rate": 7.738349237586344e-06,
|
| 2272 |
+
"loss": 0.18293830752372742,
|
| 2273 |
+
"step": 283,
|
| 2274 |
+
"token_acc": 0.9371380846325167
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 0.7038413878562577,
|
| 2278 |
+
"grad_norm": 0.6075004036847184,
|
| 2279 |
+
"learning_rate": 7.721191025782563e-06,
|
| 2280 |
+
"loss": 0.18939663469791412,
|
| 2281 |
+
"step": 284,
|
| 2282 |
+
"token_acc": 0.9343621068424155
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 0.7063197026022305,
|
| 2286 |
+
"grad_norm": 0.4872633175900578,
|
| 2287 |
+
"learning_rate": 7.703987161176545e-06,
|
| 2288 |
+
"loss": 0.18252162635326385,
|
| 2289 |
+
"step": 285,
|
| 2290 |
+
"token_acc": 0.9388334209143457
|
| 2291 |
+
},
|
| 2292 |
+
{
|
| 2293 |
+
"epoch": 0.7087980173482032,
|
| 2294 |
+
"grad_norm": 0.6246293156496817,
|
| 2295 |
+
"learning_rate": 7.686737932393606e-06,
|
| 2296 |
+
"loss": 0.21944214403629303,
|
| 2297 |
+
"step": 286,
|
| 2298 |
+
"token_acc": 0.9269831730769231
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.711276332094176,
|
| 2302 |
+
"grad_norm": 0.5299883361203443,
|
| 2303 |
+
"learning_rate": 7.66944362882013e-06,
|
| 2304 |
+
"loss": 0.18632715940475464,
|
| 2305 |
+
"step": 287,
|
| 2306 |
+
"token_acc": 0.9367708105746122
|
| 2307 |
+
},
|
| 2308 |
+
{
|
| 2309 |
+
"epoch": 0.7137546468401487,
|
| 2310 |
+
"grad_norm": 0.6117209586255409,
|
| 2311 |
+
"learning_rate": 7.652104540598712e-06,
|
| 2312 |
+
"loss": 0.21137729287147522,
|
| 2313 |
+
"step": 288,
|
| 2314 |
+
"token_acc": 0.9294571372778754
|
| 2315 |
+
},
|
| 2316 |
+
{
|
| 2317 |
+
"epoch": 0.7162329615861215,
|
| 2318 |
+
"grad_norm": 0.6572478191645179,
|
| 2319 |
+
"learning_rate": 7.634720958623287e-06,
|
| 2320 |
+
"loss": 0.20750752091407776,
|
| 2321 |
+
"step": 289,
|
| 2322 |
+
"token_acc": 0.9291399844395236
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 0.7187112763320942,
|
| 2326 |
+
"grad_norm": 0.47910401018331705,
|
| 2327 |
+
"learning_rate": 7.617293174534252e-06,
|
| 2328 |
+
"loss": 0.17338941991329193,
|
| 2329 |
+
"step": 290,
|
| 2330 |
+
"token_acc": 0.9426690391459075
|
| 2331 |
+
},
|
| 2332 |
+
{
|
| 2333 |
+
"epoch": 0.7211895910780669,
|
| 2334 |
+
"grad_norm": 0.5377221892461833,
|
| 2335 |
+
"learning_rate": 7.599821480713571e-06,
|
| 2336 |
+
"loss": 0.19114184379577637,
|
| 2337 |
+
"step": 291,
|
| 2338 |
+
"token_acc": 0.9377901175653984
|
| 2339 |
+
},
|
| 2340 |
+
{
|
| 2341 |
+
"epoch": 0.7236679058240396,
|
| 2342 |
+
"grad_norm": 0.6115410286839338,
|
| 2343 |
+
"learning_rate": 7.582306170279873e-06,
|
| 2344 |
+
"loss": 0.20206016302108765,
|
| 2345 |
+
"step": 292,
|
| 2346 |
+
"token_acc": 0.9323294629898403
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 0.7261462205700124,
|
| 2350 |
+
"grad_norm": 0.4279550372611684,
|
| 2351 |
+
"learning_rate": 7.564747537083533e-06,
|
| 2352 |
+
"loss": 0.1663416624069214,
|
| 2353 |
+
"step": 293,
|
| 2354 |
+
"token_acc": 0.9443231767484974
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.7286245353159851,
|
| 2358 |
+
"grad_norm": 0.5848129427187966,
|
| 2359 |
+
"learning_rate": 7.547145875701744e-06,
|
| 2360 |
+
"loss": 0.20620694756507874,
|
| 2361 |
+
"step": 294,
|
| 2362 |
+
"token_acc": 0.9294997662459094
|
| 2363 |
+
},
|
| 2364 |
+
{
|
| 2365 |
+
"epoch": 0.7311028500619579,
|
| 2366 |
+
"grad_norm": 0.6355812473873715,
|
| 2367 |
+
"learning_rate": 7.52950148143357e-06,
|
| 2368 |
+
"loss": 0.1970592439174652,
|
| 2369 |
+
"step": 295,
|
| 2370 |
+
"token_acc": 0.9324528513067323
|
| 2371 |
+
},
|
| 2372 |
+
{
|
| 2373 |
+
"epoch": 0.7335811648079306,
|
| 2374 |
+
"grad_norm": 0.5580070454330123,
|
| 2375 |
+
"learning_rate": 7.511814650294994e-06,
|
| 2376 |
+
"loss": 0.17839810252189636,
|
| 2377 |
+
"step": 296,
|
| 2378 |
+
"token_acc": 0.9410022216736609
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 0.7360594795539034,
|
| 2382 |
+
"grad_norm": 0.7275718966914226,
|
| 2383 |
+
"learning_rate": 7.494085679013959e-06,
|
| 2384 |
+
"loss": 0.2294643223285675,
|
| 2385 |
+
"step": 297,
|
| 2386 |
+
"token_acc": 0.9234541719133144
|
| 2387 |
+
},
|
| 2388 |
+
{
|
| 2389 |
+
"epoch": 0.7385377942998761,
|
| 2390 |
+
"grad_norm": 0.5964011648720088,
|
| 2391 |
+
"learning_rate": 7.476314865025376e-06,
|
| 2392 |
+
"loss": 0.19412359595298767,
|
| 2393 |
+
"step": 298,
|
| 2394 |
+
"token_acc": 0.9333266088359895
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"epoch": 0.7410161090458488,
|
| 2398 |
+
"grad_norm": 0.5039555343899965,
|
| 2399 |
+
"learning_rate": 7.458502506466146e-06,
|
| 2400 |
+
"loss": 0.16995006799697876,
|
| 2401 |
+
"step": 299,
|
| 2402 |
+
"token_acc": 0.9432942637017563
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 0.7434944237918215,
|
| 2406 |
+
"grad_norm": 0.6398992419325267,
|
| 2407 |
+
"learning_rate": 7.440648902170153e-06,
|
| 2408 |
+
"loss": 0.18903273344039917,
|
| 2409 |
+
"step": 300,
|
| 2410 |
+
"token_acc": 0.9334855837853269
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.7459727385377943,
|
| 2414 |
+
"grad_norm": 0.5421990175916391,
|
| 2415 |
+
"learning_rate": 7.422754351663252e-06,
|
| 2416 |
+
"loss": 0.19011856615543365,
|
| 2417 |
+
"step": 301,
|
| 2418 |
+
"token_acc": 0.9360713997253857
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 0.748451053283767,
|
| 2422 |
+
"grad_norm": 0.6140288431029091,
|
| 2423 |
+
"learning_rate": 7.40481915515824e-06,
|
| 2424 |
+
"loss": 0.17020569741725922,
|
| 2425 |
+
"step": 302,
|
| 2426 |
+
"token_acc": 0.9416936603424341
|
| 2427 |
+
},
|
| 2428 |
+
{
|
| 2429 |
+
"epoch": 0.7509293680297398,
|
| 2430 |
+
"grad_norm": 0.5982403316873622,
|
| 2431 |
+
"learning_rate": 7.386843613549828e-06,
|
| 2432 |
+
"loss": 0.17316171526908875,
|
| 2433 |
+
"step": 303,
|
| 2434 |
+
"token_acc": 0.9399900398406374
|
| 2435 |
+
},
|
| 2436 |
+
{
|
| 2437 |
+
"epoch": 0.7534076827757125,
|
| 2438 |
+
"grad_norm": 0.7851257524727686,
|
| 2439 |
+
"learning_rate": 7.368828028409581e-06,
|
| 2440 |
+
"loss": 0.23701409995555878,
|
| 2441 |
+
"step": 304,
|
| 2442 |
+
"token_acc": 0.9165071418053305
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 0.7558859975216853,
|
| 2446 |
+
"grad_norm": 0.45666946025221367,
|
| 2447 |
+
"learning_rate": 7.350772701980873e-06,
|
| 2448 |
+
"loss": 0.16829898953437805,
|
| 2449 |
+
"step": 305,
|
| 2450 |
+
"token_acc": 0.9441734417344173
|
| 2451 |
+
},
|
| 2452 |
+
{
|
| 2453 |
+
"epoch": 0.758364312267658,
|
| 2454 |
+
"grad_norm": 0.5741027060975898,
|
| 2455 |
+
"learning_rate": 7.3326779371738e-06,
|
| 2456 |
+
"loss": 0.17554450035095215,
|
| 2457 |
+
"step": 306,
|
| 2458 |
+
"token_acc": 0.9402452507789728
|
| 2459 |
+
},
|
| 2460 |
+
{
|
| 2461 |
+
"epoch": 0.7608426270136307,
|
| 2462 |
+
"grad_norm": 0.6549678676805689,
|
| 2463 |
+
"learning_rate": 7.314544037560115e-06,
|
| 2464 |
+
"loss": 0.21247723698616028,
|
| 2465 |
+
"step": 307,
|
| 2466 |
+
"token_acc": 0.9304372041214146
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.7633209417596035,
|
| 2470 |
+
"grad_norm": 0.7385901437352895,
|
| 2471 |
+
"learning_rate": 7.29637130736812e-06,
|
| 2472 |
+
"loss": 0.22944791615009308,
|
| 2473 |
+
"step": 308,
|
| 2474 |
+
"token_acc": 0.92206132879046
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 0.7657992565055762,
|
| 2478 |
+
"grad_norm": 0.5144341401490085,
|
| 2479 |
+
"learning_rate": 7.278160051477574e-06,
|
| 2480 |
+
"loss": 0.1714993715286255,
|
| 2481 |
+
"step": 309,
|
| 2482 |
+
"token_acc": 0.940737916719617
|
| 2483 |
+
},
|
| 2484 |
+
{
|
| 2485 |
+
"epoch": 0.7682775712515489,
|
| 2486 |
+
"grad_norm": 0.5198966028685696,
|
| 2487 |
+
"learning_rate": 7.259910575414569e-06,
|
| 2488 |
+
"loss": 0.17764417827129364,
|
| 2489 |
+
"step": 310,
|
| 2490 |
+
"token_acc": 0.94173100365705
|
| 2491 |
+
},
|
| 2492 |
+
{
|
| 2493 |
+
"epoch": 0.7707558859975217,
|
| 2494 |
+
"grad_norm": 0.559356037335089,
|
| 2495 |
+
"learning_rate": 7.241623185346409e-06,
|
| 2496 |
+
"loss": 0.18551871180534363,
|
| 2497 |
+
"step": 311,
|
| 2498 |
+
"token_acc": 0.9365185581727338
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 0.7732342007434945,
|
| 2502 |
+
"grad_norm": 0.5447581960295469,
|
| 2503 |
+
"learning_rate": 7.223298188076475e-06,
|
| 2504 |
+
"loss": 0.18551039695739746,
|
| 2505 |
+
"step": 312,
|
| 2506 |
+
"token_acc": 0.9366012198922576
|
| 2507 |
+
},
|
| 2508 |
+
{
|
| 2509 |
+
"epoch": 0.7757125154894672,
|
| 2510 |
+
"grad_norm": 0.5956272946818882,
|
| 2511 |
+
"learning_rate": 7.204935891039071e-06,
|
| 2512 |
+
"loss": 0.19738194346427917,
|
| 2513 |
+
"step": 313,
|
| 2514 |
+
"token_acc": 0.9336264207591679
|
| 2515 |
+
},
|
| 2516 |
+
{
|
| 2517 |
+
"epoch": 0.7781908302354399,
|
| 2518 |
+
"grad_norm": 0.6156247677333414,
|
| 2519 |
+
"learning_rate": 7.186536602294278e-06,
|
| 2520 |
+
"loss": 0.19386141002178192,
|
| 2521 |
+
"step": 314,
|
| 2522 |
+
"token_acc": 0.9333576110706482
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.7806691449814126,
|
| 2526 |
+
"grad_norm": 0.5913126460909635,
|
| 2527 |
+
"learning_rate": 7.168100630522769e-06,
|
| 2528 |
+
"loss": 0.17603059113025665,
|
| 2529 |
+
"step": 315,
|
| 2530 |
+
"token_acc": 0.9404875463698993
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.7831474597273854,
|
| 2534 |
+
"grad_norm": 0.6156468190469662,
|
| 2535 |
+
"learning_rate": 7.149628285020647e-06,
|
| 2536 |
+
"loss": 0.17938795685768127,
|
| 2537 |
+
"step": 316,
|
| 2538 |
+
"token_acc": 0.9378924042841315
|
| 2539 |
+
},
|
| 2540 |
+
{
|
| 2541 |
+
"epoch": 0.7856257744733581,
|
| 2542 |
+
"grad_norm": 0.5554521957848949,
|
| 2543 |
+
"learning_rate": 7.131119875694246e-06,
|
| 2544 |
+
"loss": 0.17076990008354187,
|
| 2545 |
+
"step": 317,
|
| 2546 |
+
"token_acc": 0.9421808877079028
|
| 2547 |
+
},
|
| 2548 |
+
{
|
| 2549 |
+
"epoch": 0.7881040892193308,
|
| 2550 |
+
"grad_norm": 0.45494925279745124,
|
| 2551 |
+
"learning_rate": 7.112575713054937e-06,
|
| 2552 |
+
"loss": 0.16329985857009888,
|
| 2553 |
+
"step": 318,
|
| 2554 |
+
"token_acc": 0.946594907886566
|
| 2555 |
+
},
|
| 2556 |
+
{
|
| 2557 |
+
"epoch": 0.7905824039653035,
|
| 2558 |
+
"grad_norm": 0.5852901237954785,
|
| 2559 |
+
"learning_rate": 7.09399610821391e-06,
|
| 2560 |
+
"loss": 0.19399097561836243,
|
| 2561 |
+
"step": 319,
|
| 2562 |
+
"token_acc": 0.933989751833618
|
| 2563 |
+
},
|
| 2564 |
+
{
|
| 2565 |
+
"epoch": 0.7930607187112764,
|
| 2566 |
+
"grad_norm": 0.5144931542602342,
|
| 2567 |
+
"learning_rate": 7.075381372876969e-06,
|
| 2568 |
+
"loss": 0.1819971203804016,
|
| 2569 |
+
"step": 320,
|
| 2570 |
+
"token_acc": 0.9393325432929394
|
| 2571 |
+
},
|
| 2572 |
+
{
|
| 2573 |
+
"epoch": 0.7955390334572491,
|
| 2574 |
+
"grad_norm": 0.6053879815647109,
|
| 2575 |
+
"learning_rate": 7.056731819339287e-06,
|
| 2576 |
+
"loss": 0.19436374306678772,
|
| 2577 |
+
"step": 321,
|
| 2578 |
+
"token_acc": 0.9340544494957412
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.7980173482032218,
|
| 2582 |
+
"grad_norm": 0.650218400875679,
|
| 2583 |
+
"learning_rate": 7.0380477604801786e-06,
|
| 2584 |
+
"loss": 0.19260971248149872,
|
| 2585 |
+
"step": 322,
|
| 2586 |
+
"token_acc": 0.9355844155844156
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.8004956629491945,
|
| 2590 |
+
"grad_norm": 0.6927995413369397,
|
| 2591 |
+
"learning_rate": 7.019329509757845e-06,
|
| 2592 |
+
"loss": 0.2514747381210327,
|
| 2593 |
+
"step": 323,
|
| 2594 |
+
"token_acc": 0.916455562592358
|
| 2595 |
+
},
|
| 2596 |
+
{
|
| 2597 |
+
"epoch": 0.8029739776951673,
|
| 2598 |
+
"grad_norm": 0.6628203337351111,
|
| 2599 |
+
"learning_rate": 7.000577381204119e-06,
|
| 2600 |
+
"loss": 0.20861145853996277,
|
| 2601 |
+
"step": 324,
|
| 2602 |
+
"token_acc": 0.9286525246489393
|
| 2603 |
+
},
|
| 2604 |
+
{
|
| 2605 |
+
"epoch": 0.80545229244114,
|
| 2606 |
+
"grad_norm": 0.5446705759993885,
|
| 2607 |
+
"learning_rate": 6.981791689419187e-06,
|
| 2608 |
+
"loss": 0.19650927186012268,
|
| 2609 |
+
"step": 325,
|
| 2610 |
+
"token_acc": 0.9323333757044193
|
| 2611 |
+
},
|
| 2612 |
+
{
|
| 2613 |
+
"epoch": 0.8079306071871127,
|
| 2614 |
+
"grad_norm": 0.690888081296392,
|
| 2615 |
+
"learning_rate": 6.9629727495663265e-06,
|
| 2616 |
+
"loss": 0.21079204976558685,
|
| 2617 |
+
"step": 326,
|
| 2618 |
+
"token_acc": 0.9264723964096889
|
| 2619 |
+
},
|
| 2620 |
+
{
|
| 2621 |
+
"epoch": 0.8104089219330854,
|
| 2622 |
+
"grad_norm": 0.5441216259690024,
|
| 2623 |
+
"learning_rate": 6.944120877366605e-06,
|
| 2624 |
+
"loss": 0.18361029028892517,
|
| 2625 |
+
"step": 327,
|
| 2626 |
+
"token_acc": 0.9384538611885058
|
| 2627 |
+
},
|
| 2628 |
+
{
|
| 2629 |
+
"epoch": 0.8128872366790583,
|
| 2630 |
+
"grad_norm": 0.5996138029900019,
|
| 2631 |
+
"learning_rate": 6.925236389093588e-06,
|
| 2632 |
+
"loss": 0.18431442975997925,
|
| 2633 |
+
"step": 328,
|
| 2634 |
+
"token_acc": 0.9374512961712297
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.815365551425031,
|
| 2638 |
+
"grad_norm": 0.7203332147407779,
|
| 2639 |
+
"learning_rate": 6.906319601568039e-06,
|
| 2640 |
+
"loss": 0.21725746989250183,
|
| 2641 |
+
"step": 329,
|
| 2642 |
+
"token_acc": 0.9251507626818021
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 0.8178438661710037,
|
| 2646 |
+
"grad_norm": 0.7061408752241958,
|
| 2647 |
+
"learning_rate": 6.8873708321525925e-06,
|
| 2648 |
+
"loss": 0.20691266655921936,
|
| 2649 |
+
"step": 330,
|
| 2650 |
+
"token_acc": 0.9305555555555556
|
| 2651 |
+
},
|
| 2652 |
+
{
|
| 2653 |
+
"epoch": 0.8203221809169765,
|
| 2654 |
+
"grad_norm": 0.739638865187876,
|
| 2655 |
+
"learning_rate": 6.86839039874644e-06,
|
| 2656 |
+
"loss": 0.21497470140457153,
|
| 2657 |
+
"step": 331,
|
| 2658 |
+
"token_acc": 0.926947355518784
|
| 2659 |
+
},
|
| 2660 |
+
{
|
| 2661 |
+
"epoch": 0.8228004956629492,
|
| 2662 |
+
"grad_norm": 0.5550764847568598,
|
| 2663 |
+
"learning_rate": 6.849378619779989e-06,
|
| 2664 |
+
"loss": 0.16336879134178162,
|
| 2665 |
+
"step": 332,
|
| 2666 |
+
"token_acc": 0.9456177118598528
|
| 2667 |
+
},
|
| 2668 |
+
{
|
| 2669 |
+
"epoch": 0.8252788104089219,
|
| 2670 |
+
"grad_norm": 0.46018708417936377,
|
| 2671 |
+
"learning_rate": 6.830335814209527e-06,
|
| 2672 |
+
"loss": 0.16997572779655457,
|
| 2673 |
+
"step": 333,
|
| 2674 |
+
"token_acc": 0.9435462670872765
|
| 2675 |
+
},
|
| 2676 |
+
{
|
| 2677 |
+
"epoch": 0.8277571251548946,
|
| 2678 |
+
"grad_norm": 0.6130699582046176,
|
| 2679 |
+
"learning_rate": 6.8112623015118695e-06,
|
| 2680 |
+
"loss": 0.20551201701164246,
|
| 2681 |
+
"step": 334,
|
| 2682 |
+
"token_acc": 0.9305078475928764
|
| 2683 |
+
},
|
| 2684 |
+
{
|
| 2685 |
+
"epoch": 0.8302354399008675,
|
| 2686 |
+
"grad_norm": 0.5844044940247498,
|
| 2687 |
+
"learning_rate": 6.7921584016789945e-06,
|
| 2688 |
+
"loss": 0.1819285750389099,
|
| 2689 |
+
"step": 335,
|
| 2690 |
+
"token_acc": 0.9391255447771686
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 0.8327137546468402,
|
| 2694 |
+
"grad_norm": 0.5448688189149371,
|
| 2695 |
+
"learning_rate": 6.773024435212678e-06,
|
| 2696 |
+
"loss": 0.18144120275974274,
|
| 2697 |
+
"step": 336,
|
| 2698 |
+
"token_acc": 0.937613822087322
|
| 2699 |
+
},
|
| 2700 |
+
{
|
| 2701 |
+
"epoch": 0.8351920693928129,
|
| 2702 |
+
"grad_norm": 0.4979114160815145,
|
| 2703 |
+
"learning_rate": 6.753860723119122e-06,
|
| 2704 |
+
"loss": 0.16096332669258118,
|
| 2705 |
+
"step": 337,
|
| 2706 |
+
"token_acc": 0.9465835840137516
|
| 2707 |
+
},
|
| 2708 |
+
{
|
| 2709 |
+
"epoch": 0.8376703841387856,
|
| 2710 |
+
"grad_norm": 0.5494514984772891,
|
| 2711 |
+
"learning_rate": 6.734667586903557e-06,
|
| 2712 |
+
"loss": 0.16589075326919556,
|
| 2713 |
+
"step": 338,
|
| 2714 |
+
"token_acc": 0.9436148550373316
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 0.8401486988847584,
|
| 2718 |
+
"grad_norm": 0.5850765356427753,
|
| 2719 |
+
"learning_rate": 6.715445348564863e-06,
|
| 2720 |
+
"loss": 0.18757903575897217,
|
| 2721 |
+
"step": 339,
|
| 2722 |
+
"token_acc": 0.9360860860860861
|
| 2723 |
+
},
|
| 2724 |
+
{
|
| 2725 |
+
"epoch": 0.8426270136307311,
|
| 2726 |
+
"grad_norm": 0.5399633025058113,
|
| 2727 |
+
"learning_rate": 6.6961943305901515e-06,
|
| 2728 |
+
"loss": 0.20864208042621613,
|
| 2729 |
+
"step": 340,
|
| 2730 |
+
"token_acc": 0.9299855937435686
|
| 2731 |
+
},
|
| 2732 |
+
{
|
| 2733 |
+
"epoch": 0.8451053283767038,
|
| 2734 |
+
"grad_norm": 0.5140619654826223,
|
| 2735 |
+
"learning_rate": 6.676914855949372e-06,
|
| 2736 |
+
"loss": 0.17430901527404785,
|
| 2737 |
+
"step": 341,
|
| 2738 |
+
"token_acc": 0.9395597664066647
|
| 2739 |
+
},
|
| 2740 |
+
{
|
| 2741 |
+
"epoch": 0.8475836431226765,
|
| 2742 |
+
"grad_norm": 0.44397443886422366,
|
| 2743 |
+
"learning_rate": 6.657607248089879e-06,
|
| 2744 |
+
"loss": 0.14214351773262024,
|
| 2745 |
+
"step": 342,
|
| 2746 |
+
"token_acc": 0.9524850437183617
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 0.8500619578686494,
|
| 2750 |
+
"grad_norm": 0.6456944870789697,
|
| 2751 |
+
"learning_rate": 6.638271830931011e-06,
|
| 2752 |
+
"loss": 0.206203892827034,
|
| 2753 |
+
"step": 343,
|
| 2754 |
+
"token_acc": 0.9305646749835851
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 0.8525402726146221,
|
| 2758 |
+
"grad_norm": 0.6038908348082955,
|
| 2759 |
+
"learning_rate": 6.618908928858663e-06,
|
| 2760 |
+
"loss": 0.19610990583896637,
|
| 2761 |
+
"step": 344,
|
| 2762 |
+
"token_acc": 0.9328902658404957
|
| 2763 |
+
},
|
| 2764 |
+
{
|
| 2765 |
+
"epoch": 0.8550185873605948,
|
| 2766 |
+
"grad_norm": 0.5495386106507599,
|
| 2767 |
+
"learning_rate": 6.599518866719832e-06,
|
| 2768 |
+
"loss": 0.16991761326789856,
|
| 2769 |
+
"step": 345,
|
| 2770 |
+
"token_acc": 0.9420851314240879
|
| 2771 |
+
},
|
| 2772 |
+
{
|
| 2773 |
+
"epoch": 0.8574969021065675,
|
| 2774 |
+
"grad_norm": 0.549951806639056,
|
| 2775 |
+
"learning_rate": 6.580101969817176e-06,
|
| 2776 |
+
"loss": 0.1928429901599884,
|
| 2777 |
+
"step": 346,
|
| 2778 |
+
"token_acc": 0.9353661353661353
|
| 2779 |
+
},
|
| 2780 |
+
{
|
| 2781 |
+
"epoch": 0.8599752168525403,
|
| 2782 |
+
"grad_norm": 0.5512589876930394,
|
| 2783 |
+
"learning_rate": 6.560658563903552e-06,
|
| 2784 |
+
"loss": 0.18611253798007965,
|
| 2785 |
+
"step": 347,
|
| 2786 |
+
"token_acc": 0.9366203925323121
|
| 2787 |
+
},
|
| 2788 |
+
{
|
| 2789 |
+
"epoch": 0.862453531598513,
|
| 2790 |
+
"grad_norm": 0.5865468615625143,
|
| 2791 |
+
"learning_rate": 6.541188975176557e-06,
|
| 2792 |
+
"loss": 0.17572996020317078,
|
| 2793 |
+
"step": 348,
|
| 2794 |
+
"token_acc": 0.9399966290241025
|
| 2795 |
+
},
|
| 2796 |
+
{
|
| 2797 |
+
"epoch": 0.8649318463444857,
|
| 2798 |
+
"grad_norm": 0.5251637449426728,
|
| 2799 |
+
"learning_rate": 6.521693530273046e-06,
|
| 2800 |
+
"loss": 0.1767703741788864,
|
| 2801 |
+
"step": 349,
|
| 2802 |
+
"token_acc": 0.9404241615678336
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 0.8674101610904585,
|
| 2806 |
+
"grad_norm": 0.6104543428217437,
|
| 2807 |
+
"learning_rate": 6.502172556263656e-06,
|
| 2808 |
+
"loss": 0.18647098541259766,
|
| 2809 |
+
"step": 350,
|
| 2810 |
+
"token_acc": 0.9353623022897276
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 0.8698884758364313,
|
| 2814 |
+
"grad_norm": 0.6238223874669917,
|
| 2815 |
+
"learning_rate": 6.48262638064733e-06,
|
| 2816 |
+
"loss": 0.1781601756811142,
|
| 2817 |
+
"step": 351,
|
| 2818 |
+
"token_acc": 0.9411801012220713
|
| 2819 |
+
},
|
| 2820 |
+
{
|
| 2821 |
+
"epoch": 0.872366790582404,
|
| 2822 |
+
"grad_norm": 0.5861100917100243,
|
| 2823 |
+
"learning_rate": 6.4630553313457985e-06,
|
| 2824 |
+
"loss": 0.19208556413650513,
|
| 2825 |
+
"step": 352,
|
| 2826 |
+
"token_acc": 0.9337118523775727
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 0.8748451053283767,
|
| 2830 |
+
"grad_norm": 0.6175525569005312,
|
| 2831 |
+
"learning_rate": 6.443459736698106e-06,
|
| 2832 |
+
"loss": 0.18548664450645447,
|
| 2833 |
+
"step": 353,
|
| 2834 |
+
"token_acc": 0.9386069519897531
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 0.8773234200743495,
|
| 2838 |
+
"grad_norm": 0.6638086200585978,
|
| 2839 |
+
"learning_rate": 6.423839925455078e-06,
|
| 2840 |
+
"loss": 0.21412134170532227,
|
| 2841 |
+
"step": 354,
|
| 2842 |
+
"token_acc": 0.9282160257074739
|
| 2843 |
+
},
|
| 2844 |
+
{
|
| 2845 |
+
"epoch": 0.8798017348203222,
|
| 2846 |
+
"grad_norm": 0.5687655384821003,
|
| 2847 |
+
"learning_rate": 6.40419622677382e-06,
|
| 2848 |
+
"loss": 0.19178852438926697,
|
| 2849 |
+
"step": 355,
|
| 2850 |
+
"token_acc": 0.9339067451335445
|
| 2851 |
+
},
|
| 2852 |
+
{
|
| 2853 |
+
"epoch": 0.8822800495662949,
|
| 2854 |
+
"grad_norm": 0.6438700078860072,
|
| 2855 |
+
"learning_rate": 6.384528970212196e-06,
|
| 2856 |
+
"loss": 0.2100120335817337,
|
| 2857 |
+
"step": 356,
|
| 2858 |
+
"token_acc": 0.929322697017428
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 0.8847583643122676,
|
| 2862 |
+
"grad_norm": 0.5187678943939543,
|
| 2863 |
+
"learning_rate": 6.364838485723286e-06,
|
| 2864 |
+
"loss": 0.1823013722896576,
|
| 2865 |
+
"step": 357,
|
| 2866 |
+
"token_acc": 0.9372864170641031
|
| 2867 |
+
},
|
| 2868 |
+
{
|
| 2869 |
+
"epoch": 0.8872366790582404,
|
| 2870 |
+
"grad_norm": 0.7008931403238787,
|
| 2871 |
+
"learning_rate": 6.34512510364987e-06,
|
| 2872 |
+
"loss": 0.21314826607704163,
|
| 2873 |
+
"step": 358,
|
| 2874 |
+
"token_acc": 0.9309123117803366
|
| 2875 |
+
},
|
| 2876 |
+
{
|
| 2877 |
+
"epoch": 0.8897149938042132,
|
| 2878 |
+
"grad_norm": 0.4684955452797199,
|
| 2879 |
+
"learning_rate": 6.325389154718865e-06,
|
| 2880 |
+
"loss": 0.15992307662963867,
|
| 2881 |
+
"step": 359,
|
| 2882 |
+
"token_acc": 0.9466835810076114
|
| 2883 |
+
},
|
| 2884 |
+
{
|
| 2885 |
+
"epoch": 0.8921933085501859,
|
| 2886 |
+
"grad_norm": 0.7093193254981369,
|
| 2887 |
+
"learning_rate": 6.305630970035796e-06,
|
| 2888 |
+
"loss": 0.19820962846279144,
|
| 2889 |
+
"step": 360,
|
| 2890 |
+
"token_acc": 0.9311410133186874
|
| 2891 |
+
},
|
| 2892 |
+
{
|
| 2893 |
+
"epoch": 0.8946716232961586,
|
| 2894 |
+
"grad_norm": 0.6971720322816753,
|
| 2895 |
+
"learning_rate": 6.285850881079229e-06,
|
| 2896 |
+
"loss": 0.2410978525876999,
|
| 2897 |
+
"step": 361,
|
| 2898 |
+
"token_acc": 0.9183133479705005
|
| 2899 |
+
},
|
| 2900 |
+
{
|
| 2901 |
+
"epoch": 0.8971499380421314,
|
| 2902 |
+
"grad_norm": 0.5798730665306432,
|
| 2903 |
+
"learning_rate": 6.266049219695211e-06,
|
| 2904 |
+
"loss": 0.20267970860004425,
|
| 2905 |
+
"step": 362,
|
| 2906 |
+
"token_acc": 0.9333963390370076
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 0.8996282527881041,
|
| 2910 |
+
"grad_norm": 0.5888906774545503,
|
| 2911 |
+
"learning_rate": 6.246226318091708e-06,
|
| 2912 |
+
"loss": 0.18350443243980408,
|
| 2913 |
+
"step": 363,
|
| 2914 |
+
"token_acc": 0.9382874116562532
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 0.9021065675340768,
|
| 2918 |
+
"grad_norm": 0.4438401374827572,
|
| 2919 |
+
"learning_rate": 6.2263825088330254e-06,
|
| 2920 |
+
"loss": 0.14044809341430664,
|
| 2921 |
+
"step": 364,
|
| 2922 |
+
"token_acc": 0.9516898801986948
|
| 2923 |
+
},
|
| 2924 |
+
{
|
| 2925 |
+
"epoch": 0.9045848822800495,
|
| 2926 |
+
"grad_norm": 0.4941874739282007,
|
| 2927 |
+
"learning_rate": 6.206518124834231e-06,
|
| 2928 |
+
"loss": 0.17817911505699158,
|
| 2929 |
+
"step": 365,
|
| 2930 |
+
"token_acc": 0.9410047166279853
|
| 2931 |
+
},
|
| 2932 |
+
{
|
| 2933 |
+
"epoch": 0.9070631970260223,
|
| 2934 |
+
"grad_norm": 0.5116786582745578,
|
| 2935 |
+
"learning_rate": 6.186633499355576e-06,
|
| 2936 |
+
"loss": 0.1637290120124817,
|
| 2937 |
+
"step": 366,
|
| 2938 |
+
"token_acc": 0.9440909967225757
|
| 2939 |
+
},
|
| 2940 |
+
{
|
| 2941 |
+
"epoch": 0.909541511771995,
|
| 2942 |
+
"grad_norm": 0.5397800157697495,
|
| 2943 |
+
"learning_rate": 6.16672896599689e-06,
|
| 2944 |
+
"loss": 0.18025127053260803,
|
| 2945 |
+
"step": 367,
|
| 2946 |
+
"token_acc": 0.938099173553719
|
| 2947 |
+
},
|
| 2948 |
+
{
|
| 2949 |
+
"epoch": 0.9120198265179678,
|
| 2950 |
+
"grad_norm": 0.5421454820647157,
|
| 2951 |
+
"learning_rate": 6.146804858692001e-06,
|
| 2952 |
+
"loss": 0.17670249938964844,
|
| 2953 |
+
"step": 368,
|
| 2954 |
+
"token_acc": 0.9375969903597461
|
| 2955 |
+
},
|
| 2956 |
+
{
|
| 2957 |
+
"epoch": 0.9144981412639405,
|
| 2958 |
+
"grad_norm": 0.5521936218217984,
|
| 2959 |
+
"learning_rate": 6.126861511703119e-06,
|
| 2960 |
+
"loss": 0.17623640596866608,
|
| 2961 |
+
"step": 369,
|
| 2962 |
+
"token_acc": 0.938034188034188
|
| 2963 |
+
},
|
| 2964 |
+
{
|
| 2965 |
+
"epoch": 0.9169764560099133,
|
| 2966 |
+
"grad_norm": 0.6290270262768498,
|
| 2967 |
+
"learning_rate": 6.1068992596152355e-06,
|
| 2968 |
+
"loss": 0.1962592899799347,
|
| 2969 |
+
"step": 370,
|
| 2970 |
+
"token_acc": 0.9332259318926727
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 0.919454770755886,
|
| 2974 |
+
"grad_norm": 0.4671394853843183,
|
| 2975 |
+
"learning_rate": 6.086918437330508e-06,
|
| 2976 |
+
"loss": 0.16493193805217743,
|
| 2977 |
+
"step": 371,
|
| 2978 |
+
"token_acc": 0.945803564985206
|
| 2979 |
+
},
|
| 2980 |
+
{
|
| 2981 |
+
"epoch": 0.9219330855018587,
|
| 2982 |
+
"grad_norm": 0.546984468211384,
|
| 2983 |
+
"learning_rate": 6.066919380062644e-06,
|
| 2984 |
+
"loss": 0.182471364736557,
|
| 2985 |
+
"step": 372,
|
| 2986 |
+
"token_acc": 0.9386115073704232
|
| 2987 |
+
},
|
| 2988 |
+
{
|
| 2989 |
+
"epoch": 0.9244114002478315,
|
| 2990 |
+
"grad_norm": 0.48129971590341114,
|
| 2991 |
+
"learning_rate": 6.046902423331271e-06,
|
| 2992 |
+
"loss": 0.17034727334976196,
|
| 2993 |
+
"step": 373,
|
| 2994 |
+
"token_acc": 0.9405193236714976
|
| 2995 |
+
},
|
| 2996 |
+
{
|
| 2997 |
+
"epoch": 0.9268897149938042,
|
| 2998 |
+
"grad_norm": 0.5079807208127743,
|
| 2999 |
+
"learning_rate": 6.026867902956317e-06,
|
| 3000 |
+
"loss": 0.18423601984977722,
|
| 3001 |
+
"step": 374,
|
| 3002 |
+
"token_acc": 0.9381341063391563
|
| 3003 |
+
},
|
| 3004 |
+
{
|
| 3005 |
+
"epoch": 0.929368029739777,
|
| 3006 |
+
"grad_norm": 0.5550349877125086,
|
| 3007 |
+
"learning_rate": 6.006816155052366e-06,
|
| 3008 |
+
"loss": 0.181596040725708,
|
| 3009 |
+
"step": 375,
|
| 3010 |
+
"token_acc": 0.9398745850239764
|
| 3011 |
+
},
|
| 3012 |
+
{
|
| 3013 |
+
"epoch": 0.9318463444857497,
|
| 3014 |
+
"grad_norm": 0.7137457961830891,
|
| 3015 |
+
"learning_rate": 5.986747516023031e-06,
|
| 3016 |
+
"loss": 0.22559146583080292,
|
| 3017 |
+
"step": 376,
|
| 3018 |
+
"token_acc": 0.9251993713254555
|
| 3019 |
+
},
|
| 3020 |
+
{
|
| 3021 |
+
"epoch": 0.9343246592317225,
|
| 3022 |
+
"grad_norm": 0.6195725763578181,
|
| 3023 |
+
"learning_rate": 5.966662322555295e-06,
|
| 3024 |
+
"loss": 0.20806604623794556,
|
| 3025 |
+
"step": 377,
|
| 3026 |
+
"token_acc": 0.9297776881584917
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 0.9368029739776952,
|
| 3030 |
+
"grad_norm": 0.6214235013705115,
|
| 3031 |
+
"learning_rate": 5.946560911613877e-06,
|
| 3032 |
+
"loss": 0.1806526482105255,
|
| 3033 |
+
"step": 378,
|
| 3034 |
+
"token_acc": 0.9402472146776786
|
| 3035 |
+
},
|
| 3036 |
+
{
|
| 3037 |
+
"epoch": 0.9392812887236679,
|
| 3038 |
+
"grad_norm": 0.619892424335576,
|
| 3039 |
+
"learning_rate": 5.926443620435572e-06,
|
| 3040 |
+
"loss": 0.21241208910942078,
|
| 3041 |
+
"step": 379,
|
| 3042 |
+
"token_acc": 0.9281962391007459
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"epoch": 0.9417596034696406,
|
| 3046 |
+
"grad_norm": 0.5610334539110594,
|
| 3047 |
+
"learning_rate": 5.906310786523594e-06,
|
| 3048 |
+
"loss": 0.18094947934150696,
|
| 3049 |
+
"step": 380,
|
| 3050 |
+
"token_acc": 0.9387107018100984
|
| 3051 |
+
},
|
| 3052 |
+
{
|
| 3053 |
+
"epoch": 0.9442379182156134,
|
| 3054 |
+
"grad_norm": 0.6291606104313001,
|
| 3055 |
+
"learning_rate": 5.886162747641912e-06,
|
| 3056 |
+
"loss": 0.18630896508693695,
|
| 3057 |
+
"step": 381,
|
| 3058 |
+
"token_acc": 0.9353342941287048
|
| 3059 |
+
},
|
| 3060 |
+
{
|
| 3061 |
+
"epoch": 0.9467162329615861,
|
| 3062 |
+
"grad_norm": 0.6029989366399096,
|
| 3063 |
+
"learning_rate": 5.8659998418095865e-06,
|
| 3064 |
+
"loss": 0.18783429265022278,
|
| 3065 |
+
"step": 382,
|
| 3066 |
+
"token_acc": 0.9373857404021938
|
| 3067 |
+
},
|
| 3068 |
+
{
|
| 3069 |
+
"epoch": 0.9491945477075588,
|
| 3070 |
+
"grad_norm": 0.46408751068285836,
|
| 3071 |
+
"learning_rate": 5.845822407295101e-06,
|
| 3072 |
+
"loss": 0.18516132235527039,
|
| 3073 |
+
"step": 383,
|
| 3074 |
+
"token_acc": 0.9385469573172656
|
| 3075 |
+
},
|
| 3076 |
+
{
|
| 3077 |
+
"epoch": 0.9516728624535316,
|
| 3078 |
+
"grad_norm": 0.612993930771964,
|
| 3079 |
+
"learning_rate": 5.825630782610676e-06,
|
| 3080 |
+
"loss": 0.20001889765262604,
|
| 3081 |
+
"step": 384,
|
| 3082 |
+
"token_acc": 0.9328035050180855
|
| 3083 |
+
},
|
| 3084 |
+
{
|
| 3085 |
+
"epoch": 0.9541511771995044,
|
| 3086 |
+
"grad_norm": 0.6864088018447264,
|
| 3087 |
+
"learning_rate": 5.805425306506602e-06,
|
| 3088 |
+
"loss": 0.2024618238210678,
|
| 3089 |
+
"step": 385,
|
| 3090 |
+
"token_acc": 0.9303036213510175
|
| 3091 |
+
},
|
| 3092 |
+
{
|
| 3093 |
+
"epoch": 0.9566294919454771,
|
| 3094 |
+
"grad_norm": 0.5939683411874609,
|
| 3095 |
+
"learning_rate": 5.785206317965554e-06,
|
| 3096 |
+
"loss": 0.18140359222888947,
|
| 3097 |
+
"step": 386,
|
| 3098 |
+
"token_acc": 0.9374970716394134
|
| 3099 |
+
},
|
| 3100 |
+
{
|
| 3101 |
+
"epoch": 0.9591078066914498,
|
| 3102 |
+
"grad_norm": 0.6088125393963071,
|
| 3103 |
+
"learning_rate": 5.764974156196895e-06,
|
| 3104 |
+
"loss": 0.2035776674747467,
|
| 3105 |
+
"step": 387,
|
| 3106 |
+
"token_acc": 0.9312286240463036
|
| 3107 |
+
},
|
| 3108 |
+
{
|
| 3109 |
+
"epoch": 0.9615861214374225,
|
| 3110 |
+
"grad_norm": 0.7336766511647727,
|
| 3111 |
+
"learning_rate": 5.744729160630998e-06,
|
| 3112 |
+
"loss": 0.22366486489772797,
|
| 3113 |
+
"step": 388,
|
| 3114 |
+
"token_acc": 0.9254956067097524
|
| 3115 |
+
},
|
| 3116 |
+
{
|
| 3117 |
+
"epoch": 0.9640644361833953,
|
| 3118 |
+
"grad_norm": 0.6358696615588187,
|
| 3119 |
+
"learning_rate": 5.724471670913545e-06,
|
| 3120 |
+
"loss": 0.20231348276138306,
|
| 3121 |
+
"step": 389,
|
| 3122 |
+
"token_acc": 0.932510562597287
|
| 3123 |
+
},
|
| 3124 |
+
{
|
| 3125 |
+
"epoch": 0.966542750929368,
|
| 3126 |
+
"grad_norm": 0.6559875937069032,
|
| 3127 |
+
"learning_rate": 5.704202026899827e-06,
|
| 3128 |
+
"loss": 0.20032212138175964,
|
| 3129 |
+
"step": 390,
|
| 3130 |
+
"token_acc": 0.9320229815542788
|
| 3131 |
+
},
|
| 3132 |
+
{
|
| 3133 |
+
"epoch": 0.9690210656753407,
|
| 3134 |
+
"grad_norm": 0.5553921325890104,
|
| 3135 |
+
"learning_rate": 5.6839205686490474e-06,
|
| 3136 |
+
"loss": 0.20753684639930725,
|
| 3137 |
+
"step": 391,
|
| 3138 |
+
"token_acc": 0.9317560234425873
|
| 3139 |
+
},
|
| 3140 |
+
{
|
| 3141 |
+
"epoch": 0.9714993804213135,
|
| 3142 |
+
"grad_norm": 0.5790773834042127,
|
| 3143 |
+
"learning_rate": 5.663627636418611e-06,
|
| 3144 |
+
"loss": 0.19933849573135376,
|
| 3145 |
+
"step": 392,
|
| 3146 |
+
"token_acc": 0.9320876585928489
|
| 3147 |
+
},
|
| 3148 |
+
{
|
| 3149 |
+
"epoch": 0.9739776951672863,
|
| 3150 |
+
"grad_norm": 0.6048116933959292,
|
| 3151 |
+
"learning_rate": 5.6433235706584245e-06,
|
| 3152 |
+
"loss": 0.17828413844108582,
|
| 3153 |
+
"step": 393,
|
| 3154 |
+
"token_acc": 0.9381983240223464
|
| 3155 |
+
},
|
| 3156 |
+
{
|
| 3157 |
+
"epoch": 0.976456009913259,
|
| 3158 |
+
"grad_norm": 0.7249058399669792,
|
| 3159 |
+
"learning_rate": 5.6230087120051724e-06,
|
| 3160 |
+
"loss": 0.1717335432767868,
|
| 3161 |
+
"step": 394,
|
| 3162 |
+
"token_acc": 0.9421272747824121
|
| 3163 |
+
},
|
| 3164 |
+
{
|
| 3165 |
+
"epoch": 0.9789343246592317,
|
| 3166 |
+
"grad_norm": 0.5770177783064109,
|
| 3167 |
+
"learning_rate": 5.6026834012766155e-06,
|
| 3168 |
+
"loss": 0.19472819566726685,
|
| 3169 |
+
"step": 395,
|
| 3170 |
+
"token_acc": 0.9339223265230996
|
| 3171 |
+
},
|
| 3172 |
+
{
|
| 3173 |
+
"epoch": 0.9814126394052045,
|
| 3174 |
+
"grad_norm": 0.4889275587412367,
|
| 3175 |
+
"learning_rate": 5.582347979465864e-06,
|
| 3176 |
+
"loss": 0.15470196306705475,
|
| 3177 |
+
"step": 396,
|
| 3178 |
+
"token_acc": 0.9471021567409248
|
| 3179 |
+
},
|
| 3180 |
+
{
|
| 3181 |
+
"epoch": 0.9838909541511772,
|
| 3182 |
+
"grad_norm": 0.5349732049962183,
|
| 3183 |
+
"learning_rate": 5.562002787735658e-06,
|
| 3184 |
+
"loss": 0.188591867685318,
|
| 3185 |
+
"step": 397,
|
| 3186 |
+
"token_acc": 0.9351314148062115
|
| 3187 |
+
},
|
| 3188 |
+
{
|
| 3189 |
+
"epoch": 0.9863692688971499,
|
| 3190 |
+
"grad_norm": 0.5409005167566334,
|
| 3191 |
+
"learning_rate": 5.541648167412648e-06,
|
| 3192 |
+
"loss": 0.1926460862159729,
|
| 3193 |
+
"step": 398,
|
| 3194 |
+
"token_acc": 0.9344948330344179
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 0.9888475836431226,
|
| 3198 |
+
"grad_norm": 0.4941504014606478,
|
| 3199 |
+
"learning_rate": 5.521284459981662e-06,
|
| 3200 |
+
"loss": 0.1656017005443573,
|
| 3201 |
+
"step": 399,
|
| 3202 |
+
"token_acc": 0.9449271039188635
|
| 3203 |
+
},
|
| 3204 |
+
{
|
| 3205 |
+
"epoch": 0.9913258983890955,
|
| 3206 |
+
"grad_norm": 0.54064933012267,
|
| 3207 |
+
"learning_rate": 5.500912007079987e-06,
|
| 3208 |
+
"loss": 0.175786554813385,
|
| 3209 |
+
"step": 400,
|
| 3210 |
+
"token_acc": 0.9386102162908422
|
| 3211 |
+
}
|
| 3212 |
+
],
|
| 3213 |
+
"logging_steps": 1,
|
| 3214 |
+
"max_steps": 808,
|
| 3215 |
+
"num_input_tokens_seen": 0,
|
| 3216 |
+
"num_train_epochs": 2,
|
| 3217 |
+
"save_steps": 400,
|
| 3218 |
+
"stateful_callbacks": {
|
| 3219 |
+
"TrainerControl": {
|
| 3220 |
+
"args": {
|
| 3221 |
+
"should_epoch_stop": false,
|
| 3222 |
+
"should_evaluate": false,
|
| 3223 |
+
"should_log": false,
|
| 3224 |
+
"should_save": true,
|
| 3225 |
+
"should_training_stop": false
|
| 3226 |
+
},
|
| 3227 |
+
"attributes": {}
|
| 3228 |
+
}
|
| 3229 |
+
},
|
| 3230 |
+
"total_flos": 89241210011648.0,
|
| 3231 |
+
"train_batch_size": 1,
|
| 3232 |
+
"trial_name": null,
|
| 3233 |
+
"trial_params": null
|
| 3234 |
+
}
|
v0-20260118-111123/checkpoint-400/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2af38b97928d7a6d29bc705d94e6ceb3f08920a2f404a386aaac89911b7f0f9
|
| 3 |
+
size 9489
|
v0-20260118-111123/checkpoint-400/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-800/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 |
+
}
|
v0-20260118-111123/checkpoint-800/args.json
ADDED
|
@@ -0,0 +1,393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 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": 0.05,
|
| 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": 2.0,
|
| 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": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 1,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "steps",
|
| 38 |
+
"save_steps": 400.0,
|
| 39 |
+
"save_total_limit": null,
|
| 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 |
+
"bf16": true,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": "nccl",
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": null,
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 400.0,
|
| 64 |
+
"dataloader_num_workers": 8,
|
| 65 |
+
"dataloader_prefetch_factor": null,
|
| 66 |
+
"past_index": -1,
|
| 67 |
+
"run_name": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 68 |
+
"disable_tqdm": null,
|
| 69 |
+
"remove_unused_columns": false,
|
| 70 |
+
"label_names": null,
|
| 71 |
+
"load_best_model_at_end": false,
|
| 72 |
+
"metric_for_best_model": "loss",
|
| 73 |
+
"greater_is_better": false,
|
| 74 |
+
"ignore_data_skip": false,
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": null,
|
| 78 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 79 |
+
"accelerator_config": {
|
| 80 |
+
"dispatch_batches": false
|
| 81 |
+
},
|
| 82 |
+
"parallelism_config": null,
|
| 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": 3,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"offload_param": {
|
| 102 |
+
"device": "none",
|
| 103 |
+
"pin_memory": true
|
| 104 |
+
},
|
| 105 |
+
"overlap_comm": false,
|
| 106 |
+
"contiguous_gradients": true,
|
| 107 |
+
"sub_group_size": 1000000000.0,
|
| 108 |
+
"reduce_bucket_size": "auto",
|
| 109 |
+
"zero_quantized_weights": false,
|
| 110 |
+
"zero_quantized_gradients": false,
|
| 111 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 112 |
+
"stage3_param_persistence_threshold": "auto",
|
| 113 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 114 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 115 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 116 |
+
},
|
| 117 |
+
"gradient_accumulation_steps": "auto",
|
| 118 |
+
"gradient_clipping": "auto",
|
| 119 |
+
"steps_per_print": 2000,
|
| 120 |
+
"train_batch_size": "auto",
|
| 121 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 122 |
+
"wall_clock_breakdown": false
|
| 123 |
+
},
|
| 124 |
+
"label_smoothing_factor": 0.0,
|
| 125 |
+
"optim": "adamw_torch_fused",
|
| 126 |
+
"optim_args": null,
|
| 127 |
+
"adafactor": false,
|
| 128 |
+
"group_by_length": false,
|
| 129 |
+
"length_column_name": "length",
|
| 130 |
+
"report_to": [
|
| 131 |
+
"none"
|
| 132 |
+
],
|
| 133 |
+
"project": "huggingface",
|
| 134 |
+
"trackio_space_id": "trackio",
|
| 135 |
+
"ddp_find_unused_parameters": null,
|
| 136 |
+
"ddp_bucket_cap_mb": null,
|
| 137 |
+
"ddp_broadcast_buffers": null,
|
| 138 |
+
"dataloader_pin_memory": true,
|
| 139 |
+
"dataloader_persistent_workers": false,
|
| 140 |
+
"skip_memory_metrics": true,
|
| 141 |
+
"use_legacy_prediction_loop": false,
|
| 142 |
+
"push_to_hub": false,
|
| 143 |
+
"resume_from_checkpoint": null,
|
| 144 |
+
"hub_model_id": null,
|
| 145 |
+
"hub_strategy": "every_save",
|
| 146 |
+
"hub_token": null,
|
| 147 |
+
"hub_private_repo": null,
|
| 148 |
+
"hub_always_push": false,
|
| 149 |
+
"hub_revision": null,
|
| 150 |
+
"gradient_checkpointing": true,
|
| 151 |
+
"gradient_checkpointing_kwargs": null,
|
| 152 |
+
"include_inputs_for_metrics": false,
|
| 153 |
+
"include_for_metrics": [],
|
| 154 |
+
"eval_do_concat_batches": true,
|
| 155 |
+
"fp16_backend": "auto",
|
| 156 |
+
"push_to_hub_model_id": null,
|
| 157 |
+
"push_to_hub_organization": null,
|
| 158 |
+
"push_to_hub_token": null,
|
| 159 |
+
"mp_parameters": "",
|
| 160 |
+
"auto_find_batch_size": false,
|
| 161 |
+
"full_determinism": false,
|
| 162 |
+
"torchdynamo": null,
|
| 163 |
+
"ray_scope": "last",
|
| 164 |
+
"ddp_timeout": 18000000,
|
| 165 |
+
"torch_compile": false,
|
| 166 |
+
"torch_compile_backend": null,
|
| 167 |
+
"torch_compile_mode": null,
|
| 168 |
+
"include_tokens_per_second": false,
|
| 169 |
+
"include_num_input_tokens_seen": false,
|
| 170 |
+
"neftune_noise_alpha": null,
|
| 171 |
+
"optim_target_modules": null,
|
| 172 |
+
"batch_eval_metrics": false,
|
| 173 |
+
"eval_on_start": false,
|
| 174 |
+
"use_liger_kernel": false,
|
| 175 |
+
"liger_kernel_config": null,
|
| 176 |
+
"eval_use_gather_object": false,
|
| 177 |
+
"average_tokens_across_devices": true,
|
| 178 |
+
"sortish_sampler": false,
|
| 179 |
+
"predict_with_generate": false,
|
| 180 |
+
"generation_max_length": null,
|
| 181 |
+
"generation_num_beams": null,
|
| 182 |
+
"generation_config": null,
|
| 183 |
+
"tuner_backend": "peft",
|
| 184 |
+
"vit_gradient_checkpointing": null,
|
| 185 |
+
"router_aux_loss_coef": 0.0,
|
| 186 |
+
"enable_dft_loss": false,
|
| 187 |
+
"enable_channel_loss": false,
|
| 188 |
+
"check_model": true,
|
| 189 |
+
"acc_strategy": "token",
|
| 190 |
+
"train_dataloader_shuffle": true,
|
| 191 |
+
"max_epochs": null,
|
| 192 |
+
"aligner_lr": null,
|
| 193 |
+
"vit_lr": null,
|
| 194 |
+
"use_logits_to_keep": null,
|
| 195 |
+
"ds3_gather_for_generation": true,
|
| 196 |
+
"resume_only_model": false,
|
| 197 |
+
"optimizer": null,
|
| 198 |
+
"loss_type": null,
|
| 199 |
+
"metric": null,
|
| 200 |
+
"eval_use_evalscope": false,
|
| 201 |
+
"eval_dataset": [],
|
| 202 |
+
"eval_dataset_args": null,
|
| 203 |
+
"eval_limit": null,
|
| 204 |
+
"eval_generation_config": null,
|
| 205 |
+
"extra_eval_args": null,
|
| 206 |
+
"use_flash_ckpt": false,
|
| 207 |
+
"use_ray": false,
|
| 208 |
+
"ray_exp_name": null,
|
| 209 |
+
"device_groups": null,
|
| 210 |
+
"model": "ubowang/fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 211 |
+
"model_type": "qwen2_5",
|
| 212 |
+
"model_revision": null,
|
| 213 |
+
"task_type": "causal_lm",
|
| 214 |
+
"torch_dtype": "bfloat16",
|
| 215 |
+
"attn_impl": "flash_attn",
|
| 216 |
+
"new_special_tokens": [],
|
| 217 |
+
"num_labels": null,
|
| 218 |
+
"problem_type": null,
|
| 219 |
+
"rope_scaling": null,
|
| 220 |
+
"device_map": null,
|
| 221 |
+
"max_memory": {},
|
| 222 |
+
"max_model_len": null,
|
| 223 |
+
"local_repo_path": null,
|
| 224 |
+
"init_strategy": null,
|
| 225 |
+
"template": "qwen2_5",
|
| 226 |
+
"system": null,
|
| 227 |
+
"max_length": 32768,
|
| 228 |
+
"truncation_strategy": "delete",
|
| 229 |
+
"max_pixels": null,
|
| 230 |
+
"agent_template": null,
|
| 231 |
+
"norm_bbox": null,
|
| 232 |
+
"use_chat_template": true,
|
| 233 |
+
"padding_side": "right",
|
| 234 |
+
"padding_free": false,
|
| 235 |
+
"loss_scale": "default",
|
| 236 |
+
"sequence_parallel_size": 1,
|
| 237 |
+
"template_backend": "swift",
|
| 238 |
+
"response_prefix": null,
|
| 239 |
+
"enable_thinking": null,
|
| 240 |
+
"add_non_thinking_prefix": true,
|
| 241 |
+
"dataset": [
|
| 242 |
+
"/data2/yubo/datasets/R2EGym-Data/R2EGym-SFT-Trajectories.jsonl"
|
| 243 |
+
],
|
| 244 |
+
"val_dataset": [],
|
| 245 |
+
"cached_dataset": [],
|
| 246 |
+
"cached_val_dataset": [],
|
| 247 |
+
"split_dataset_ratio": 0.0,
|
| 248 |
+
"dataset_num_proc": 8,
|
| 249 |
+
"load_from_cache_file": false,
|
| 250 |
+
"dataset_shuffle": true,
|
| 251 |
+
"val_dataset_shuffle": false,
|
| 252 |
+
"streaming": false,
|
| 253 |
+
"interleave_prob": null,
|
| 254 |
+
"stopping_strategy": "first_exhausted",
|
| 255 |
+
"shuffle_buffer_size": 1000,
|
| 256 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 257 |
+
"columns": {},
|
| 258 |
+
"strict": false,
|
| 259 |
+
"model_name": null,
|
| 260 |
+
"model_author": null,
|
| 261 |
+
"custom_dataset_info": [],
|
| 262 |
+
"quant_method": null,
|
| 263 |
+
"quant_bits": null,
|
| 264 |
+
"hqq_axis": null,
|
| 265 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 266 |
+
"bnb_4bit_quant_type": "nf4",
|
| 267 |
+
"bnb_4bit_use_double_quant": true,
|
| 268 |
+
"bnb_4bit_quant_storage": null,
|
| 269 |
+
"max_new_tokens": 64,
|
| 270 |
+
"temperature": 0.0,
|
| 271 |
+
"top_k": null,
|
| 272 |
+
"top_p": null,
|
| 273 |
+
"repetition_penalty": null,
|
| 274 |
+
"num_beams": 1,
|
| 275 |
+
"stream": false,
|
| 276 |
+
"stop_words": [],
|
| 277 |
+
"logprobs": false,
|
| 278 |
+
"top_logprobs": null,
|
| 279 |
+
"structured_outputs_regex": null,
|
| 280 |
+
"ckpt_dir": null,
|
| 281 |
+
"lora_modules": [],
|
| 282 |
+
"train_type": "full",
|
| 283 |
+
"adapters": [],
|
| 284 |
+
"external_plugins": [],
|
| 285 |
+
"model_kwargs": {},
|
| 286 |
+
"load_args": false,
|
| 287 |
+
"load_data_args": false,
|
| 288 |
+
"packing": false,
|
| 289 |
+
"packing_length": null,
|
| 290 |
+
"packing_num_proc": 1,
|
| 291 |
+
"lazy_tokenize": false,
|
| 292 |
+
"custom_register_path": [],
|
| 293 |
+
"use_hf": true,
|
| 294 |
+
"ignore_args_error": false,
|
| 295 |
+
"use_swift_lora": false,
|
| 296 |
+
"freeze_parameters": [],
|
| 297 |
+
"freeze_parameters_regex": null,
|
| 298 |
+
"freeze_parameters_ratio": 0.0,
|
| 299 |
+
"trainable_parameters": [],
|
| 300 |
+
"trainable_parameters_regex": null,
|
| 301 |
+
"freeze_llm": false,
|
| 302 |
+
"freeze_vit": false,
|
| 303 |
+
"freeze_aligner": false,
|
| 304 |
+
"target_modules": [
|
| 305 |
+
"all-linear"
|
| 306 |
+
],
|
| 307 |
+
"target_regex": null,
|
| 308 |
+
"target_parameters": null,
|
| 309 |
+
"modules_to_save": [],
|
| 310 |
+
"lora_rank": 8,
|
| 311 |
+
"lora_alpha": 32,
|
| 312 |
+
"lora_dropout": 0.05,
|
| 313 |
+
"lora_bias": "none",
|
| 314 |
+
"lora_dtype": null,
|
| 315 |
+
"lorap_lr_ratio": null,
|
| 316 |
+
"use_rslora": false,
|
| 317 |
+
"use_dora": false,
|
| 318 |
+
"lora_ga_batch_size": 2,
|
| 319 |
+
"lora_ga_iters": 2,
|
| 320 |
+
"lora_ga_max_length": 1024,
|
| 321 |
+
"lora_ga_direction": "ArB2r",
|
| 322 |
+
"lora_ga_scale": "stable",
|
| 323 |
+
"lora_ga_stable_gamma": 16,
|
| 324 |
+
"init_weights": true,
|
| 325 |
+
"fourier_n_frequency": 2000,
|
| 326 |
+
"fourier_scaling": 300.0,
|
| 327 |
+
"boft_block_size": 4,
|
| 328 |
+
"boft_block_num": 0,
|
| 329 |
+
"boft_n_butterfly_factor": 1,
|
| 330 |
+
"boft_dropout": 0.0,
|
| 331 |
+
"vera_rank": 256,
|
| 332 |
+
"vera_projection_prng_key": 0,
|
| 333 |
+
"vera_dropout": 0.0,
|
| 334 |
+
"vera_d_initial": 0.1,
|
| 335 |
+
"adapter_act": "gelu",
|
| 336 |
+
"adapter_length": 128,
|
| 337 |
+
"use_galore": false,
|
| 338 |
+
"galore_target_modules": null,
|
| 339 |
+
"galore_rank": 128,
|
| 340 |
+
"galore_update_proj_gap": 50,
|
| 341 |
+
"galore_scale": 1.0,
|
| 342 |
+
"galore_proj_type": "std",
|
| 343 |
+
"galore_optim_per_parameter": false,
|
| 344 |
+
"galore_with_embedding": false,
|
| 345 |
+
"galore_quantization": false,
|
| 346 |
+
"galore_proj_quant": false,
|
| 347 |
+
"galore_proj_bits": 4,
|
| 348 |
+
"galore_proj_group_size": 256,
|
| 349 |
+
"galore_cos_threshold": 0.4,
|
| 350 |
+
"galore_gamma_proj": 2,
|
| 351 |
+
"galore_queue_size": 5,
|
| 352 |
+
"adalora_target_r": 8,
|
| 353 |
+
"adalora_init_r": 12,
|
| 354 |
+
"adalora_tinit": 0,
|
| 355 |
+
"adalora_tfinal": 0,
|
| 356 |
+
"adalora_deltaT": 1,
|
| 357 |
+
"adalora_beta1": 0.85,
|
| 358 |
+
"adalora_beta2": 0.85,
|
| 359 |
+
"adalora_orth_reg_weight": 0.5,
|
| 360 |
+
"llamapro_num_new_blocks": 4,
|
| 361 |
+
"llamapro_num_groups": null,
|
| 362 |
+
"lisa_activated_layers": 0,
|
| 363 |
+
"lisa_step_interval": 20,
|
| 364 |
+
"reft_layer_key": null,
|
| 365 |
+
"reft_layers": null,
|
| 366 |
+
"reft_rank": 4,
|
| 367 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 368 |
+
"reft_args": null,
|
| 369 |
+
"swanlab_token": null,
|
| 370 |
+
"swanlab_project": "ms-swift",
|
| 371 |
+
"swanlab_workspace": null,
|
| 372 |
+
"swanlab_exp_name": null,
|
| 373 |
+
"swanlab_notification_method": null,
|
| 374 |
+
"swanlab_webhook_url": null,
|
| 375 |
+
"swanlab_secret": null,
|
| 376 |
+
"swanlab_mode": "cloud",
|
| 377 |
+
"add_version": true,
|
| 378 |
+
"create_checkpoint_symlink": false,
|
| 379 |
+
"zero_hpz_partition_size": null,
|
| 380 |
+
"deepspeed_autotp_size": null,
|
| 381 |
+
"early_stop_interval": null,
|
| 382 |
+
"rank": 0,
|
| 383 |
+
"global_world_size": 4,
|
| 384 |
+
"local_world_size": 4,
|
| 385 |
+
"model_suffix": "fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 386 |
+
"model_info": "ModelInfo(model_type='qwen2_5', model_dir='/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e', torch_dtype=torch.bfloat16, max_model_len=32768, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=False, config=None, task_type='causal_lm', num_labels=None)",
|
| 387 |
+
"model_meta": "ModelMeta(model_type='qwen2_5', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct', hf_model_id='Qwen/Qwen2.5-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct', hf_model_id='Qwen/Qwen2.5-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct', hf_model_id='Qwen/Qwen2.5-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct', hf_model_id='Qwen/Qwen2.5-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct', hf_model_id='Qwen/Qwen2.5-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B', hf_model_id='Qwen/Qwen2.5-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B', hf_model_id='Qwen/Qwen2.5-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B', hf_model_id='Qwen/Qwen2.5-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B', hf_model_id='Qwen/Qwen2.5-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B', hf_model_id='Qwen/Qwen2.5-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B', hf_model_id='Qwen/Qwen2.5-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B', hf_model_id='Qwen/Qwen2.5-72B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B', hf_model_id='Qwen/Qwen2.5-Coder-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B', hf_model_id='Qwen/Qwen2.5-Coder-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B', hf_model_id='Qwen/Qwen2.5-Coder-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B', hf_model_id='Qwen/Qwen2.5-Coder-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B', hf_model_id='Qwen/Qwen2.5-Coder-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B', hf_model_id='Qwen/Qwen2.5-Coder-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=['coding']), ModelGroup(models=[Model(ms_model_id='moonshotai/Kimi-Dev-72B', hf_model_id='moonshotai/Kimi-Dev-72B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5', get_function=<function get_model_tokenizer_with_flash_attn at 0x7ff22745e5c0>, model_arch=ModelKeys(arch_name='llama', embedding='model.embed_tokens', module_list='model.layers', lm_head='lm_head', q_proj='model.layers.{}.self_attn.q_proj', k_proj='model.layers.{}.self_attn.k_proj', v_proj='model.layers.{}.self_attn.v_proj', o_proj='model.layers.{}.self_attn.o_proj', attention='model.layers.{}.self_attn', mlp='model.layers.{}.mlp', down_proj='model.layers.{}.mlp.down_proj', qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None), architectures=['Qwen2ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.37'], tags=[])",
|
| 388 |
+
"model_dir": "/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e",
|
| 389 |
+
"_val_dataset_exists": [],
|
| 390 |
+
"hub": "<class 'swift.hub.hub.HFHub'>",
|
| 391 |
+
"evaluation_strategy": "steps",
|
| 392 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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=0.05, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=2.0, 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='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=400, save_total_limit=None, 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, 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='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=400.0, dataloader_num_workers=8, dataloader_prefetch_factor=2, past_index=-1, run_name='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=[], project='huggingface', trackio_space_id='trackio', 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, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='full', local_repo_path=None, galore_config=None, task_type='causal_lm', problem_type=None)"
|
| 393 |
+
}
|
v0-20260118-111123/checkpoint-800/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
v0-20260118-111123/checkpoint-800/config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"layer_types": [
|
| 13 |
+
"full_attention",
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention"
|
| 41 |
+
],
|
| 42 |
+
"max_position_embeddings": 32768,
|
| 43 |
+
"max_window_layers": 28,
|
| 44 |
+
"model_type": "qwen2",
|
| 45 |
+
"num_attention_heads": 28,
|
| 46 |
+
"num_hidden_layers": 28,
|
| 47 |
+
"num_key_value_heads": 4,
|
| 48 |
+
"pad_token_id": 151643,
|
| 49 |
+
"rms_norm_eps": 1e-06,
|
| 50 |
+
"rope_scaling": null,
|
| 51 |
+
"rope_theta": 1000000.0,
|
| 52 |
+
"sliding_window": null,
|
| 53 |
+
"tie_word_embeddings": false,
|
| 54 |
+
"transformers_version": "4.57.6",
|
| 55 |
+
"use_cache": false,
|
| 56 |
+
"use_sliding_window": false,
|
| 57 |
+
"vocab_size": 152064
|
| 58 |
+
}
|
v0-20260118-111123/checkpoint-800/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.57.6"
|
| 14 |
+
}
|
v0-20260118-111123/checkpoint-800/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-800/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f778776f91021c3b80798b752ac2f171042583c13f53a310edf07c877412b8a
|
| 3 |
+
size 4877660776
|
v0-20260118-111123/checkpoint-800/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c1fd552ffd1abad13997884df3dc2d6931fbbea2127daa37c129fbf3571bd861
|
| 3 |
+
size 4932751008
|
v0-20260118-111123/checkpoint-800/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a610d0bb99267661f1a980bcd8fbf395aa010a479178b33a4a991c8d76db58d1
|
| 3 |
+
size 4330865200
|
v0-20260118-111123/checkpoint-800/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf2c8a572300b1fab8f3777b96a7339e12bdca09d3a46128a52bedda24188f77
|
| 3 |
+
size 1089994880
|
v0-20260118-111123/checkpoint-800/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,347 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 333312,
|
| 4 |
+
"total_size": 15231233024
|
| 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-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-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-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-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-00003-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-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-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-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-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-00003-of-00004.safetensors"
|
| 346 |
+
}
|
| 347 |
+
}
|
v0-20260118-111123/checkpoint-800/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 |
+
}
|
v0-20260118-111123/checkpoint-800/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
v0-20260118-111123/checkpoint-800/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 32768,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
v0-20260118-111123/checkpoint-800/trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-800/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2af38b97928d7a6d29bc705d94e6ceb3f08920a2f404a386aaac89911b7f0f9
|
| 3 |
+
size 9489
|
v0-20260118-111123/checkpoint-800/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-808/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 |
+
}
|
v0-20260118-111123/checkpoint-808/args.json
ADDED
|
@@ -0,0 +1,393 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"output_dir": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 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": 0.05,
|
| 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": 2.0,
|
| 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": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs",
|
| 33 |
+
"logging_strategy": "steps",
|
| 34 |
+
"logging_first_step": true,
|
| 35 |
+
"logging_steps": 1,
|
| 36 |
+
"logging_nan_inf_filter": true,
|
| 37 |
+
"save_strategy": "steps",
|
| 38 |
+
"save_steps": 400.0,
|
| 39 |
+
"save_total_limit": null,
|
| 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 |
+
"bf16": true,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": "nccl",
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": null,
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 400.0,
|
| 64 |
+
"dataloader_num_workers": 8,
|
| 65 |
+
"dataloader_prefetch_factor": null,
|
| 66 |
+
"past_index": -1,
|
| 67 |
+
"run_name": "/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123",
|
| 68 |
+
"disable_tqdm": null,
|
| 69 |
+
"remove_unused_columns": false,
|
| 70 |
+
"label_names": null,
|
| 71 |
+
"load_best_model_at_end": false,
|
| 72 |
+
"metric_for_best_model": "loss",
|
| 73 |
+
"greater_is_better": false,
|
| 74 |
+
"ignore_data_skip": false,
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": null,
|
| 78 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 79 |
+
"accelerator_config": {
|
| 80 |
+
"dispatch_batches": false
|
| 81 |
+
},
|
| 82 |
+
"parallelism_config": null,
|
| 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": 3,
|
| 97 |
+
"offload_optimizer": {
|
| 98 |
+
"device": "none",
|
| 99 |
+
"pin_memory": true
|
| 100 |
+
},
|
| 101 |
+
"offload_param": {
|
| 102 |
+
"device": "none",
|
| 103 |
+
"pin_memory": true
|
| 104 |
+
},
|
| 105 |
+
"overlap_comm": false,
|
| 106 |
+
"contiguous_gradients": true,
|
| 107 |
+
"sub_group_size": 1000000000.0,
|
| 108 |
+
"reduce_bucket_size": "auto",
|
| 109 |
+
"zero_quantized_weights": false,
|
| 110 |
+
"zero_quantized_gradients": false,
|
| 111 |
+
"stage3_prefetch_bucket_size": "auto",
|
| 112 |
+
"stage3_param_persistence_threshold": "auto",
|
| 113 |
+
"stage3_max_live_parameters": 1000000000.0,
|
| 114 |
+
"stage3_max_reuse_distance": 1000000000.0,
|
| 115 |
+
"stage3_gather_16bit_weights_on_model_save": true
|
| 116 |
+
},
|
| 117 |
+
"gradient_accumulation_steps": "auto",
|
| 118 |
+
"gradient_clipping": "auto",
|
| 119 |
+
"steps_per_print": 2000,
|
| 120 |
+
"train_batch_size": "auto",
|
| 121 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 122 |
+
"wall_clock_breakdown": false
|
| 123 |
+
},
|
| 124 |
+
"label_smoothing_factor": 0.0,
|
| 125 |
+
"optim": "adamw_torch_fused",
|
| 126 |
+
"optim_args": null,
|
| 127 |
+
"adafactor": false,
|
| 128 |
+
"group_by_length": false,
|
| 129 |
+
"length_column_name": "length",
|
| 130 |
+
"report_to": [
|
| 131 |
+
"none"
|
| 132 |
+
],
|
| 133 |
+
"project": "huggingface",
|
| 134 |
+
"trackio_space_id": "trackio",
|
| 135 |
+
"ddp_find_unused_parameters": null,
|
| 136 |
+
"ddp_bucket_cap_mb": null,
|
| 137 |
+
"ddp_broadcast_buffers": null,
|
| 138 |
+
"dataloader_pin_memory": true,
|
| 139 |
+
"dataloader_persistent_workers": false,
|
| 140 |
+
"skip_memory_metrics": true,
|
| 141 |
+
"use_legacy_prediction_loop": false,
|
| 142 |
+
"push_to_hub": false,
|
| 143 |
+
"resume_from_checkpoint": null,
|
| 144 |
+
"hub_model_id": null,
|
| 145 |
+
"hub_strategy": "every_save",
|
| 146 |
+
"hub_token": null,
|
| 147 |
+
"hub_private_repo": null,
|
| 148 |
+
"hub_always_push": false,
|
| 149 |
+
"hub_revision": null,
|
| 150 |
+
"gradient_checkpointing": true,
|
| 151 |
+
"gradient_checkpointing_kwargs": null,
|
| 152 |
+
"include_inputs_for_metrics": false,
|
| 153 |
+
"include_for_metrics": [],
|
| 154 |
+
"eval_do_concat_batches": true,
|
| 155 |
+
"fp16_backend": "auto",
|
| 156 |
+
"push_to_hub_model_id": null,
|
| 157 |
+
"push_to_hub_organization": null,
|
| 158 |
+
"push_to_hub_token": null,
|
| 159 |
+
"mp_parameters": "",
|
| 160 |
+
"auto_find_batch_size": false,
|
| 161 |
+
"full_determinism": false,
|
| 162 |
+
"torchdynamo": null,
|
| 163 |
+
"ray_scope": "last",
|
| 164 |
+
"ddp_timeout": 18000000,
|
| 165 |
+
"torch_compile": false,
|
| 166 |
+
"torch_compile_backend": null,
|
| 167 |
+
"torch_compile_mode": null,
|
| 168 |
+
"include_tokens_per_second": false,
|
| 169 |
+
"include_num_input_tokens_seen": false,
|
| 170 |
+
"neftune_noise_alpha": null,
|
| 171 |
+
"optim_target_modules": null,
|
| 172 |
+
"batch_eval_metrics": false,
|
| 173 |
+
"eval_on_start": false,
|
| 174 |
+
"use_liger_kernel": false,
|
| 175 |
+
"liger_kernel_config": null,
|
| 176 |
+
"eval_use_gather_object": false,
|
| 177 |
+
"average_tokens_across_devices": true,
|
| 178 |
+
"sortish_sampler": false,
|
| 179 |
+
"predict_with_generate": false,
|
| 180 |
+
"generation_max_length": null,
|
| 181 |
+
"generation_num_beams": null,
|
| 182 |
+
"generation_config": null,
|
| 183 |
+
"tuner_backend": "peft",
|
| 184 |
+
"vit_gradient_checkpointing": null,
|
| 185 |
+
"router_aux_loss_coef": 0.0,
|
| 186 |
+
"enable_dft_loss": false,
|
| 187 |
+
"enable_channel_loss": false,
|
| 188 |
+
"check_model": true,
|
| 189 |
+
"acc_strategy": "token",
|
| 190 |
+
"train_dataloader_shuffle": true,
|
| 191 |
+
"max_epochs": null,
|
| 192 |
+
"aligner_lr": null,
|
| 193 |
+
"vit_lr": null,
|
| 194 |
+
"use_logits_to_keep": null,
|
| 195 |
+
"ds3_gather_for_generation": true,
|
| 196 |
+
"resume_only_model": false,
|
| 197 |
+
"optimizer": null,
|
| 198 |
+
"loss_type": null,
|
| 199 |
+
"metric": null,
|
| 200 |
+
"eval_use_evalscope": false,
|
| 201 |
+
"eval_dataset": [],
|
| 202 |
+
"eval_dataset_args": null,
|
| 203 |
+
"eval_limit": null,
|
| 204 |
+
"eval_generation_config": null,
|
| 205 |
+
"extra_eval_args": null,
|
| 206 |
+
"use_flash_ckpt": false,
|
| 207 |
+
"use_ray": false,
|
| 208 |
+
"ray_exp_name": null,
|
| 209 |
+
"device_groups": null,
|
| 210 |
+
"model": "ubowang/fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 211 |
+
"model_type": "qwen2_5",
|
| 212 |
+
"model_revision": null,
|
| 213 |
+
"task_type": "causal_lm",
|
| 214 |
+
"torch_dtype": "bfloat16",
|
| 215 |
+
"attn_impl": "flash_attn",
|
| 216 |
+
"new_special_tokens": [],
|
| 217 |
+
"num_labels": null,
|
| 218 |
+
"problem_type": null,
|
| 219 |
+
"rope_scaling": null,
|
| 220 |
+
"device_map": null,
|
| 221 |
+
"max_memory": {},
|
| 222 |
+
"max_model_len": null,
|
| 223 |
+
"local_repo_path": null,
|
| 224 |
+
"init_strategy": null,
|
| 225 |
+
"template": "qwen2_5",
|
| 226 |
+
"system": null,
|
| 227 |
+
"max_length": 32768,
|
| 228 |
+
"truncation_strategy": "delete",
|
| 229 |
+
"max_pixels": null,
|
| 230 |
+
"agent_template": null,
|
| 231 |
+
"norm_bbox": null,
|
| 232 |
+
"use_chat_template": true,
|
| 233 |
+
"padding_side": "right",
|
| 234 |
+
"padding_free": false,
|
| 235 |
+
"loss_scale": "default",
|
| 236 |
+
"sequence_parallel_size": 1,
|
| 237 |
+
"template_backend": "swift",
|
| 238 |
+
"response_prefix": null,
|
| 239 |
+
"enable_thinking": null,
|
| 240 |
+
"add_non_thinking_prefix": true,
|
| 241 |
+
"dataset": [
|
| 242 |
+
"/data2/yubo/datasets/R2EGym-Data/R2EGym-SFT-Trajectories.jsonl"
|
| 243 |
+
],
|
| 244 |
+
"val_dataset": [],
|
| 245 |
+
"cached_dataset": [],
|
| 246 |
+
"cached_val_dataset": [],
|
| 247 |
+
"split_dataset_ratio": 0.0,
|
| 248 |
+
"dataset_num_proc": 8,
|
| 249 |
+
"load_from_cache_file": false,
|
| 250 |
+
"dataset_shuffle": true,
|
| 251 |
+
"val_dataset_shuffle": false,
|
| 252 |
+
"streaming": false,
|
| 253 |
+
"interleave_prob": null,
|
| 254 |
+
"stopping_strategy": "first_exhausted",
|
| 255 |
+
"shuffle_buffer_size": 1000,
|
| 256 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 257 |
+
"columns": {},
|
| 258 |
+
"strict": false,
|
| 259 |
+
"model_name": null,
|
| 260 |
+
"model_author": null,
|
| 261 |
+
"custom_dataset_info": [],
|
| 262 |
+
"quant_method": null,
|
| 263 |
+
"quant_bits": null,
|
| 264 |
+
"hqq_axis": null,
|
| 265 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 266 |
+
"bnb_4bit_quant_type": "nf4",
|
| 267 |
+
"bnb_4bit_use_double_quant": true,
|
| 268 |
+
"bnb_4bit_quant_storage": null,
|
| 269 |
+
"max_new_tokens": 64,
|
| 270 |
+
"temperature": 0.0,
|
| 271 |
+
"top_k": null,
|
| 272 |
+
"top_p": null,
|
| 273 |
+
"repetition_penalty": null,
|
| 274 |
+
"num_beams": 1,
|
| 275 |
+
"stream": false,
|
| 276 |
+
"stop_words": [],
|
| 277 |
+
"logprobs": false,
|
| 278 |
+
"top_logprobs": null,
|
| 279 |
+
"structured_outputs_regex": null,
|
| 280 |
+
"ckpt_dir": null,
|
| 281 |
+
"lora_modules": [],
|
| 282 |
+
"train_type": "full",
|
| 283 |
+
"adapters": [],
|
| 284 |
+
"external_plugins": [],
|
| 285 |
+
"model_kwargs": {},
|
| 286 |
+
"load_args": false,
|
| 287 |
+
"load_data_args": false,
|
| 288 |
+
"packing": false,
|
| 289 |
+
"packing_length": null,
|
| 290 |
+
"packing_num_proc": 1,
|
| 291 |
+
"lazy_tokenize": false,
|
| 292 |
+
"custom_register_path": [],
|
| 293 |
+
"use_hf": true,
|
| 294 |
+
"ignore_args_error": false,
|
| 295 |
+
"use_swift_lora": false,
|
| 296 |
+
"freeze_parameters": [],
|
| 297 |
+
"freeze_parameters_regex": null,
|
| 298 |
+
"freeze_parameters_ratio": 0.0,
|
| 299 |
+
"trainable_parameters": [],
|
| 300 |
+
"trainable_parameters_regex": null,
|
| 301 |
+
"freeze_llm": false,
|
| 302 |
+
"freeze_vit": false,
|
| 303 |
+
"freeze_aligner": false,
|
| 304 |
+
"target_modules": [
|
| 305 |
+
"all-linear"
|
| 306 |
+
],
|
| 307 |
+
"target_regex": null,
|
| 308 |
+
"target_parameters": null,
|
| 309 |
+
"modules_to_save": [],
|
| 310 |
+
"lora_rank": 8,
|
| 311 |
+
"lora_alpha": 32,
|
| 312 |
+
"lora_dropout": 0.05,
|
| 313 |
+
"lora_bias": "none",
|
| 314 |
+
"lora_dtype": null,
|
| 315 |
+
"lorap_lr_ratio": null,
|
| 316 |
+
"use_rslora": false,
|
| 317 |
+
"use_dora": false,
|
| 318 |
+
"lora_ga_batch_size": 2,
|
| 319 |
+
"lora_ga_iters": 2,
|
| 320 |
+
"lora_ga_max_length": 1024,
|
| 321 |
+
"lora_ga_direction": "ArB2r",
|
| 322 |
+
"lora_ga_scale": "stable",
|
| 323 |
+
"lora_ga_stable_gamma": 16,
|
| 324 |
+
"init_weights": true,
|
| 325 |
+
"fourier_n_frequency": 2000,
|
| 326 |
+
"fourier_scaling": 300.0,
|
| 327 |
+
"boft_block_size": 4,
|
| 328 |
+
"boft_block_num": 0,
|
| 329 |
+
"boft_n_butterfly_factor": 1,
|
| 330 |
+
"boft_dropout": 0.0,
|
| 331 |
+
"vera_rank": 256,
|
| 332 |
+
"vera_projection_prng_key": 0,
|
| 333 |
+
"vera_dropout": 0.0,
|
| 334 |
+
"vera_d_initial": 0.1,
|
| 335 |
+
"adapter_act": "gelu",
|
| 336 |
+
"adapter_length": 128,
|
| 337 |
+
"use_galore": false,
|
| 338 |
+
"galore_target_modules": null,
|
| 339 |
+
"galore_rank": 128,
|
| 340 |
+
"galore_update_proj_gap": 50,
|
| 341 |
+
"galore_scale": 1.0,
|
| 342 |
+
"galore_proj_type": "std",
|
| 343 |
+
"galore_optim_per_parameter": false,
|
| 344 |
+
"galore_with_embedding": false,
|
| 345 |
+
"galore_quantization": false,
|
| 346 |
+
"galore_proj_quant": false,
|
| 347 |
+
"galore_proj_bits": 4,
|
| 348 |
+
"galore_proj_group_size": 256,
|
| 349 |
+
"galore_cos_threshold": 0.4,
|
| 350 |
+
"galore_gamma_proj": 2,
|
| 351 |
+
"galore_queue_size": 5,
|
| 352 |
+
"adalora_target_r": 8,
|
| 353 |
+
"adalora_init_r": 12,
|
| 354 |
+
"adalora_tinit": 0,
|
| 355 |
+
"adalora_tfinal": 0,
|
| 356 |
+
"adalora_deltaT": 1,
|
| 357 |
+
"adalora_beta1": 0.85,
|
| 358 |
+
"adalora_beta2": 0.85,
|
| 359 |
+
"adalora_orth_reg_weight": 0.5,
|
| 360 |
+
"llamapro_num_new_blocks": 4,
|
| 361 |
+
"llamapro_num_groups": null,
|
| 362 |
+
"lisa_activated_layers": 0,
|
| 363 |
+
"lisa_step_interval": 20,
|
| 364 |
+
"reft_layer_key": null,
|
| 365 |
+
"reft_layers": null,
|
| 366 |
+
"reft_rank": 4,
|
| 367 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 368 |
+
"reft_args": null,
|
| 369 |
+
"swanlab_token": null,
|
| 370 |
+
"swanlab_project": "ms-swift",
|
| 371 |
+
"swanlab_workspace": null,
|
| 372 |
+
"swanlab_exp_name": null,
|
| 373 |
+
"swanlab_notification_method": null,
|
| 374 |
+
"swanlab_webhook_url": null,
|
| 375 |
+
"swanlab_secret": null,
|
| 376 |
+
"swanlab_mode": "cloud",
|
| 377 |
+
"add_version": true,
|
| 378 |
+
"create_checkpoint_symlink": false,
|
| 379 |
+
"zero_hpz_partition_size": null,
|
| 380 |
+
"deepspeed_autotp_size": null,
|
| 381 |
+
"early_stop_interval": null,
|
| 382 |
+
"rank": 0,
|
| 383 |
+
"global_world_size": 4,
|
| 384 |
+
"local_world_size": 4,
|
| 385 |
+
"model_suffix": "fim_qwen25_coder_7b_ins_0116-ckpt_4500",
|
| 386 |
+
"model_info": "ModelInfo(model_type='qwen2_5', model_dir='/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e', torch_dtype=torch.bfloat16, max_model_len=32768, quant_method=None, quant_bits=None, rope_scaling=None, is_moe_model=False, is_multimodal=False, config=None, task_type='causal_lm', num_labels=None)",
|
| 387 |
+
"model_meta": "ModelMeta(model_type='qwen2_5', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct', hf_model_id='Qwen/Qwen2.5-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct', hf_model_id='Qwen/Qwen2.5-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct', hf_model_id='Qwen/Qwen2.5-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct', hf_model_id='Qwen/Qwen2.5-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct', hf_model_id='Qwen/Qwen2.5-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B', hf_model_id='Qwen/Qwen2.5-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B', hf_model_id='Qwen/Qwen2.5-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B', hf_model_id='Qwen/Qwen2.5-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B', hf_model_id='Qwen/Qwen2.5-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B', hf_model_id='Qwen/Qwen2.5-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B', hf_model_id='Qwen/Qwen2.5-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B', hf_model_id='Qwen/Qwen2.5-72B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B', hf_model_id='Qwen/Qwen2.5-Coder-0.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B', hf_model_id='Qwen/Qwen2.5-Coder-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B', hf_model_id='Qwen/Qwen2.5-Coder-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B', hf_model_id='Qwen/Qwen2.5-Coder-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B', hf_model_id='Qwen/Qwen2.5-Coder-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B', hf_model_id='Qwen/Qwen2.5-Coder-32B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-0.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-3B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-14B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int4', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', hf_model_id='Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=['coding']), ModelGroup(models=[Model(ms_model_id='moonshotai/Kimi-Dev-72B', hf_model_id='moonshotai/Kimi-Dev-72B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5', get_function=<function get_model_tokenizer_with_flash_attn at 0x7ff22745e5c0>, model_arch=ModelKeys(arch_name='llama', embedding='model.embed_tokens', module_list='model.layers', lm_head='lm_head', q_proj='model.layers.{}.self_attn.q_proj', k_proj='model.layers.{}.self_attn.k_proj', v_proj='model.layers.{}.self_attn.v_proj', o_proj='model.layers.{}.self_attn.o_proj', attention='model.layers.{}.self_attn', mlp='model.layers.{}.mlp', down_proj='model.layers.{}.mlp.down_proj', qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None), architectures=['Qwen2ForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.37'], tags=[])",
|
| 388 |
+
"model_dir": "/home/user/.cache/huggingface/hub/models--ubowang--fim_qwen25_coder_7b_ins_0116-ckpt_4500/snapshots/415fd793976200fcfc97bc543ccab8e73dd4843e",
|
| 389 |
+
"_val_dataset_exists": [],
|
| 390 |
+
"hub": "<class 'swift.hub.hub.HFHub'>",
|
| 391 |
+
"evaluation_strategy": "steps",
|
| 392 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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=0.05, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=2.0, 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='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=400, save_total_limit=None, 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, 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='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=400.0, dataloader_num_workers=8, dataloader_prefetch_factor=2, past_index=-1, run_name='/data2/yubo/sft_ckpts/fim_qwen25_coder_7b_ins_0116-ckpt_4500_r2egym_sft_0117/v0-20260118-111123', 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), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=[], project='huggingface', trackio_space_id='trackio', 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, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='full', local_repo_path=None, galore_config=None, task_type='causal_lm', problem_type=None)"
|
| 393 |
+
}
|
v0-20260118-111123/checkpoint-808/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
v0-20260118-111123/checkpoint-808/config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"dtype": "bfloat16",
|
| 7 |
+
"eos_token_id": 151645,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"layer_types": [
|
| 13 |
+
"full_attention",
|
| 14 |
+
"full_attention",
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention",
|
| 17 |
+
"full_attention",
|
| 18 |
+
"full_attention",
|
| 19 |
+
"full_attention",
|
| 20 |
+
"full_attention",
|
| 21 |
+
"full_attention",
|
| 22 |
+
"full_attention",
|
| 23 |
+
"full_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"full_attention",
|
| 26 |
+
"full_attention",
|
| 27 |
+
"full_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"full_attention",
|
| 30 |
+
"full_attention",
|
| 31 |
+
"full_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"full_attention",
|
| 35 |
+
"full_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"full_attention",
|
| 38 |
+
"full_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"full_attention"
|
| 41 |
+
],
|
| 42 |
+
"max_position_embeddings": 32768,
|
| 43 |
+
"max_window_layers": 28,
|
| 44 |
+
"model_type": "qwen2",
|
| 45 |
+
"num_attention_heads": 28,
|
| 46 |
+
"num_hidden_layers": 28,
|
| 47 |
+
"num_key_value_heads": 4,
|
| 48 |
+
"pad_token_id": 151643,
|
| 49 |
+
"rms_norm_eps": 1e-06,
|
| 50 |
+
"rope_scaling": null,
|
| 51 |
+
"rope_theta": 1000000.0,
|
| 52 |
+
"sliding_window": null,
|
| 53 |
+
"tie_word_embeddings": false,
|
| 54 |
+
"transformers_version": "4.57.6",
|
| 55 |
+
"use_cache": false,
|
| 56 |
+
"use_sliding_window": false,
|
| 57 |
+
"vocab_size": 152064
|
| 58 |
+
}
|
v0-20260118-111123/checkpoint-808/generation_config.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 1.1,
|
| 10 |
+
"temperature": 0.7,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.8,
|
| 13 |
+
"transformers_version": "4.57.6"
|
| 14 |
+
}
|
v0-20260118-111123/checkpoint-808/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
v0-20260118-111123/checkpoint-808/model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77b123ece7d796b44b8c2de98b465892c172a365eb8530c0ff85d54c9838bd1e
|
| 3 |
+
size 4877660776
|
v0-20260118-111123/checkpoint-808/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:797fd5b83e9e9522ba733e5d195b97514a8183f38baa28b826cb2f89b2942352
|
| 3 |
+
size 4932751008
|
v0-20260118-111123/checkpoint-808/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dc0024173c4711aca6d0757d736b85d289758a8fac18cb0007308eb90ffbe9e
|
| 3 |
+
size 4330865200
|
v0-20260118-111123/checkpoint-808/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c9f40d5f7108fd1147f9b1d171a9d520f139b130bc4126bc6e21d73c92e71671
|
| 3 |
+
size 1089994880
|
v0-20260118-111123/checkpoint-808/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,347 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 333312,
|
| 4 |
+
"total_size": 15231233024
|
| 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-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-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-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-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-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-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-00003-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-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-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-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-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-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-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-00003-of-00004.safetensors"
|
| 346 |
+
}
|
| 347 |
+
}
|
v0-20260118-111123/checkpoint-808/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 |
+
}
|
v0-20260118-111123/checkpoint-808/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
| 3 |
+
size 11421896
|
v0-20260118-111123/checkpoint-808/tokenizer_config.json
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 32768,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|