tejeshbhalla commited on
Commit
8aa79b9
·
verified ·
1 Parent(s): 99432e4

Training in progress, step 10

Browse files
adapter_config.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
- "base_model_name_or_path": "/root/dataDisk/output/v68-20250313-073537/checkpoint-90-merged",
5
  "bias": "none",
6
  "eva_config": null,
7
  "exclude_modules": null,
@@ -12,26 +12,26 @@
12
  "layers_pattern": null,
13
  "layers_to_transform": null,
14
  "loftq_config": {},
15
- "lora_alpha": 64,
16
  "lora_bias": false,
17
- "lora_dropout": 0.2,
18
  "megatron_config": null,
19
  "megatron_core": "megatron.core",
20
  "modules_to_save": [],
21
  "peft_type": "LORA",
22
- "r": 32,
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
 
 
 
26
  "k_proj",
27
  "gate_proj",
28
  "q_proj",
29
- "up_proj",
30
- "down_proj",
31
- "v_proj",
32
- "o_proj"
33
  ],
34
  "task_type": "CAUSAL_LM",
35
  "use_dora": false,
36
- "use_rslora": false
37
  }
 
1
  {
2
  "alpha_pattern": {},
3
  "auto_mapping": null,
4
+ "base_model_name_or_path": "/root/highspeedstorage/ft-volume/mistral-agentic-turbo",
5
  "bias": "none",
6
  "eva_config": null,
7
  "exclude_modules": null,
 
12
  "layers_pattern": null,
13
  "layers_to_transform": null,
14
  "loftq_config": {},
15
+ "lora_alpha": 256,
16
  "lora_bias": false,
17
+ "lora_dropout": 0.1,
18
  "megatron_config": null,
19
  "megatron_core": "megatron.core",
20
  "modules_to_save": [],
21
  "peft_type": "LORA",
22
+ "r": 128,
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
26
+ "v_proj",
27
+ "o_proj",
28
+ "down_proj",
29
  "k_proj",
30
  "gate_proj",
31
  "q_proj",
32
+ "up_proj"
 
 
 
33
  ],
34
  "task_type": "CAUSAL_LM",
35
  "use_dora": false,
36
+ "use_rslora": true
37
  }
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ce04af93b650aa745681d6f16691431d088dd3e1f19c916dbd7e124d747f5ee5
3
- size 1656902648
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3301075aa1f1b7e190353e81cb8efe7860f1018f4a34d7aee5a645ae97ff9b19
3
+ size 1478569432
args.json CHANGED
@@ -1,6 +1,6 @@
1
  {
2
- "model": "/root/dataDisk/output/v68-20250313-073537/checkpoint-90-merged",
3
- "model_type": "llama3_2",
4
  "model_revision": null,
5
  "task_type": "causal_lm",
6
  "torch_dtype": "bfloat16",
@@ -8,28 +8,34 @@
8
  "num_labels": null,
9
  "rope_scaling": null,
10
  "device_map": null,
 
11
  "local_repo_path": null,
12
- "template": "llama3_2",
13
  "system": "",
14
- "max_length": 64000,
15
  "truncation_strategy": "left",
16
  "max_pixels": null,
17
  "tools_prompt": "react_en",
 
 
 
18
  "loss_scale": "default",
19
  "sequence_parallel_size": 1,
20
  "use_chat_template": true,
21
  "template_backend": "swift",
22
  "dataset": [
23
- "dpo_data.jsonl"
24
  ],
25
  "val_dataset": [],
26
  "split_dataset_ratio": 0.03,
27
  "data_seed": 42,
28
  "dataset_num_proc": 1,
29
  "streaming": false,
30
- "load_from_cache_file": false,
31
  "download_mode": "reuse_dataset_if_exists",
 
32
  "strict": false,
 
33
  "model_name": [
34
  null,
35
  null
@@ -55,22 +61,24 @@
55
  "stream": false,
56
  "stop_words": [],
57
  "logprobs": false,
58
- "ckpt_dir": "/root/dataDisk/output/v68-20250313-073537/checkpoint-90-merged",
 
59
  "load_dataset_config": null,
60
  "lora_modules": [],
61
  "tuner_backend": "peft",
62
  "train_type": "lora",
63
  "adapters": [],
 
64
  "seed": 42,
65
  "model_kwargs": {},
66
- "load_args": true,
67
  "load_data_args": false,
68
  "use_hf": true,
69
  "hub_token": null,
70
  "custom_register_path": [],
71
  "ignore_args_error": false,
72
  "use_swift_lora": false,
73
- "output_dir": "/root/dataDisk/output/v78-20250314-065341",
74
  "overwrite_output_dir": false,
75
  "do_train": false,
76
  "do_eval": false,
@@ -100,7 +108,7 @@
100
  "log_level": "passive",
101
  "log_level_replica": "warning",
102
  "log_on_each_node": true,
103
- "logging_dir": "/root/dataDisk/output/v78-20250314-065341/runs",
104
  "logging_strategy": "steps",
105
  "logging_first_step": true,
106
  "logging_steps": 1,
@@ -124,7 +132,7 @@
124
  "bf16_full_eval": false,
125
  "fp16_full_eval": false,
126
  "tf32": null,
127
- "local_rank": -1,
128
  "ddp_backend": null,
129
  "tpu_num_cores": null,
130
  "tpu_metrics_debug": false,
@@ -136,7 +144,6 @@
136
  "past_index": -1,
137
  "run_name": null,
138
  "disable_tqdm": null,
139
- "remove_unused_columns": false,
140
  "label_names": null,
141
  "load_best_model_at_end": false,
142
  "metric_for_best_model": "loss",
@@ -145,11 +152,50 @@
145
  "fsdp": "",
146
  "fsdp_min_num_params": 0,
147
  "fsdp_config": null,
 
148
  "fsdp_transformer_layer_cls_to_wrap": null,
149
  "accelerator_config": {
150
  "dispatch_batches": false
151
  },
152
- "deepspeed": null,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
153
  "label_smoothing_factor": 0.0,
154
  "optim": "adamw_torch",
155
  "optim_args": null,
@@ -157,7 +203,7 @@
157
  "group_by_length": false,
158
  "length_column_name": "length",
159
  "report_to": [
160
- "wandb"
161
  ],
162
  "ddp_find_unused_parameters": null,
163
  "ddp_bucket_cap_mb": null,
@@ -220,13 +266,13 @@
220
  ],
221
  "target_regex": null,
222
  "modules_to_save": [],
223
- "lora_rank": 32,
224
- "lora_alpha": 64,
225
- "lora_dropout": 0.2,
226
  "lora_bias": "none",
227
  "lora_dtype": null,
228
  "lorap_lr_ratio": null,
229
- "use_rslora": false,
230
  "use_dora": false,
231
  "lora_ga_batch_size": 2,
232
  "lora_ga_iters": 2,
@@ -284,21 +330,29 @@
284
  "metric_warmup_step": 0,
285
  "fsdp_num": 1,
286
  "acc_steps": 1,
 
 
 
 
 
287
  "add_version": true,
288
  "resume_only_model": false,
289
  "check_model": true,
290
- "loss_type": null,
291
  "packing": false,
292
  "lazy_tokenize": false,
293
- "acc_strategy": "token",
294
  "optimizer": null,
295
  "metric": null,
296
- "rank": -1,
297
- "local_world_size": 1,
298
- "model_suffix": "checkpoint-90-merged",
299
- "model_info": "ModelInfo(model_type='llama3_2', model_dir='/root/dataDisk/output/v68-20250313-073537/checkpoint-90-merged', torch_dtype=torch.bfloat16, max_model_len=131072, quant_method=None, quant_bits=None, config={'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings': 8192, 'rope_type': 'llama3'}, task_type=None)",
300
- "model_meta": "ModelMeta(model_type='llama3_2', model_groups=[ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.2-1B', hf_model_id='meta-llama/Llama-3.2-1B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B', hf_model_id='meta-llama/Llama-3.2-3B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-1B-Instruct', hf_model_id='meta-llama/Llama-3.2-1B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='LLM-Research/Llama-3.2-3B-Instruct', hf_model_id='meta-llama/Llama-3.2-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='LLM-Research/Llama-3.3-70B-Instruct', hf_model_id='meta-llama/Llama-3.3-70B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', hf_model_id='unsloth/Llama-3.3-70B-Instruct-bnb-4bit', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='llama3_2', get_function=<function get_model_tokenizer_with_flash_attn at 0x7fb82e3124d0>, model_arch='llama', architectures=['LlamaForCausalLM'], is_multimodal=False, additional_saved_files=[], torch_dtype=None, ignore_patterns=[], requires=['transformers>=4.45'], tags=[])",
301
- "model_dir": "/root/dataDisk/output/v68-20250313-073537/checkpoint-90-merged",
 
 
 
302
  "hub": "<class 'swift.hub.hub.HFHub'>",
303
- "training_args": "Seq2SeqTrainingArguments(output_dir='/root/dataDisk/output/v78-20250314-065341', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, 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=8, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=1e-05, weight_decay=0.01, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.LINEAR: 'linear'>, lr_scheduler_kwargs=None, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/root/dataDisk/output/v78-20250314-065341/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=10, save_total_limit=2, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=10, dataloader_num_workers=0, dataloader_prefetch_factor=None, past_index=-1, run_name='/root/dataDisk/output/v78-20250314-065341', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['wandb'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=True, resume_from_checkpoint=None, hub_model_id='TheAgenticAI/LLAMA-3.3-70B-Reasoning', hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=True, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs={'use_reentrant': True}, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy='steps', 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=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=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, 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, acc_strategy='token', sequence_parallel_size=1, check_model=True, train_sampler_random=True, is_encoder_decoder=False, metric_warmup_step=0, train_dataset_sample=-1, fsdp_num=1, acc_steps=1, train_type='lora')"
304
  }
 
1
  {
2
+ "model": "/root/highspeedstorage/ft-volume/mistral-agentic-turbo",
3
+ "model_type": "mistral_2501",
4
  "model_revision": null,
5
  "task_type": "causal_lm",
6
  "torch_dtype": "bfloat16",
 
8
  "num_labels": null,
9
  "rope_scaling": null,
10
  "device_map": null,
11
+ "max_memory": {},
12
  "local_repo_path": null,
13
+ "template": "mistral_2501",
14
  "system": "",
15
+ "max_length": 80000,
16
  "truncation_strategy": "left",
17
  "max_pixels": null,
18
  "tools_prompt": "react_en",
19
+ "norm_bbox": null,
20
+ "response_prefix": null,
21
+ "padding_side": "right",
22
  "loss_scale": "default",
23
  "sequence_parallel_size": 1,
24
  "use_chat_template": true,
25
  "template_backend": "swift",
26
  "dataset": [
27
+ "all_processed_logs.jsonl"
28
  ],
29
  "val_dataset": [],
30
  "split_dataset_ratio": 0.03,
31
  "data_seed": 42,
32
  "dataset_num_proc": 1,
33
  "streaming": false,
34
+ "enable_cache": false,
35
  "download_mode": "reuse_dataset_if_exists",
36
+ "columns": {},
37
  "strict": false,
38
+ "remove_unused_columns": true,
39
  "model_name": [
40
  null,
41
  null
 
61
  "stream": false,
62
  "stop_words": [],
63
  "logprobs": false,
64
+ "top_logprobs": null,
65
+ "ckpt_dir": "/root/highspeedstorage/ft-volume/mistral-agentic-turbo",
66
  "load_dataset_config": null,
67
  "lora_modules": [],
68
  "tuner_backend": "peft",
69
  "train_type": "lora",
70
  "adapters": [],
71
+ "external_plugins": [],
72
  "seed": 42,
73
  "model_kwargs": {},
74
+ "load_args": false,
75
  "load_data_args": false,
76
  "use_hf": true,
77
  "hub_token": null,
78
  "custom_register_path": [],
79
  "ignore_args_error": false,
80
  "use_swift_lora": false,
81
+ "output_dir": "/root/dataDisk/ms-swift/output/v37-20250327-184820",
82
  "overwrite_output_dir": false,
83
  "do_train": false,
84
  "do_eval": false,
 
108
  "log_level": "passive",
109
  "log_level_replica": "warning",
110
  "log_on_each_node": true,
111
+ "logging_dir": "/root/dataDisk/ms-swift/output/v37-20250327-184820/runs",
112
  "logging_strategy": "steps",
113
  "logging_first_step": true,
114
  "logging_steps": 1,
 
132
  "bf16_full_eval": false,
133
  "fp16_full_eval": false,
134
  "tf32": null,
135
+ "local_rank": 0,
136
  "ddp_backend": null,
137
  "tpu_num_cores": null,
138
  "tpu_metrics_debug": false,
 
144
  "past_index": -1,
145
  "run_name": null,
146
  "disable_tqdm": null,
 
147
  "label_names": null,
148
  "load_best_model_at_end": false,
149
  "metric_for_best_model": "loss",
 
152
  "fsdp": "",
153
  "fsdp_min_num_params": 0,
154
  "fsdp_config": null,
155
+ "tp_size": 0,
156
  "fsdp_transformer_layer_cls_to_wrap": null,
157
  "accelerator_config": {
158
  "dispatch_batches": false
159
  },
160
+ "deepspeed": {
161
+ "fp16": {
162
+ "enabled": "auto",
163
+ "loss_scale": 0,
164
+ "loss_scale_window": 1000,
165
+ "initial_scale_power": 16,
166
+ "hysteresis": 2,
167
+ "min_loss_scale": 1
168
+ },
169
+ "bf16": {
170
+ "enabled": "auto"
171
+ },
172
+ "zero_optimization": {
173
+ "stage": 3,
174
+ "offload_optimizer": {
175
+ "device": "cpu",
176
+ "pin_memory": true
177
+ },
178
+ "offload_param": {
179
+ "device": "cpu",
180
+ "pin_memory": true
181
+ },
182
+ "overlap_comm": true,
183
+ "contiguous_gradients": true,
184
+ "sub_group_size": 1000000000.0,
185
+ "reduce_bucket_size": "auto",
186
+ "stage3_prefetch_bucket_size": "auto",
187
+ "stage3_param_persistence_threshold": "auto",
188
+ "stage3_max_live_parameters": 1000000000.0,
189
+ "stage3_max_reuse_distance": 1000000000.0,
190
+ "stage3_gather_16bit_weights_on_model_save": true
191
+ },
192
+ "gradient_accumulation_steps": "auto",
193
+ "gradient_clipping": "auto",
194
+ "steps_per_print": 2000,
195
+ "train_batch_size": "auto",
196
+ "train_micro_batch_size_per_gpu": "auto",
197
+ "wall_clock_breakdown": false
198
+ },
199
  "label_smoothing_factor": 0.0,
200
  "optim": "adamw_torch",
201
  "optim_args": null,
 
203
  "group_by_length": false,
204
  "length_column_name": "length",
205
  "report_to": [
206
+ "tensorboard"
207
  ],
208
  "ddp_find_unused_parameters": null,
209
  "ddp_bucket_cap_mb": null,
 
266
  ],
267
  "target_regex": null,
268
  "modules_to_save": [],
269
+ "lora_rank": 128,
270
+ "lora_alpha": 256,
271
+ "lora_dropout": 0.1,
272
  "lora_bias": "none",
273
  "lora_dtype": null,
274
  "lorap_lr_ratio": null,
275
+ "use_rslora": true,
276
  "use_dora": false,
277
  "lora_ga_batch_size": 2,
278
  "lora_ga_iters": 2,
 
330
  "metric_warmup_step": 0,
331
  "fsdp_num": 1,
332
  "acc_steps": 1,
333
+ "swanlab_token": null,
334
+ "swanlab_project": null,
335
+ "swanlab_workspace": null,
336
+ "swanlab_exp_name": null,
337
+ "swanlab_mode": "cloud",
338
  "add_version": true,
339
  "resume_only_model": false,
340
  "check_model": true,
341
+ "create_checkpoint_symlink": false,
342
  "packing": false,
343
  "lazy_tokenize": false,
344
+ "loss_type": null,
345
  "optimizer": null,
346
  "metric": null,
347
+ "acc_strategy": "token",
348
+ "zero_hpz_partition_size": null,
349
+ "rank": 0,
350
+ "global_world_size": 8,
351
+ "local_world_size": 8,
352
+ "model_suffix": "mistral-agentic-turbo",
353
+ "model_info": "ModelInfo(model_type='mistral_2501', model_dir='/root/highspeedstorage/ft-volume/mistral-agentic-turbo', torch_dtype=torch.bfloat16, max_model_len=131072, quant_method=None, quant_bits=None, rope_scaling={'factor': 4.0, 'original_max_position_embeddings': 32768, 'type': 'dynamic'}, config=None, task_type='causal_lm', num_labels=None)",
354
+ "model_meta": "ModelMeta(model_type='mistral_2501', model_groups=[ModelGroup(models=[Model(ms_model_id='mistralai/Mistral-Small-24B-Base-2501', hf_model_id='mistralai/Mistral-Small-24B-Base-2501', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='mistralai/Mistral-Small-24B-Instruct-2501', hf_model_id='mistralai/Mistral-Small-24B-Instruct-2501', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='mistral_2501', get_function=<function get_model_tokenizer_with_flash_attn at 0x7f5b3cd2ac20>, model_arch='llama', architectures=['MistralForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=[], requires=[], tags=[])",
355
+ "model_dir": "/root/highspeedstorage/ft-volume/mistral-agentic-turbo",
356
  "hub": "<class 'swift.hub.hub.HFHub'>",
357
+ "training_args": "Seq2SeqTrainingArguments(output_dir='/root/dataDisk/ms-swift/output/v37-20250327-184820', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, 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=8, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=1e-05, weight_decay=0.01, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.LINEAR: 'linear'>, lr_scheduler_kwargs=None, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/root/dataDisk/ms-swift/output/v37-20250327-184820/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=10, save_total_limit=2, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=10, dataloader_num_workers=0, dataloader_prefetch_factor=None, past_index=-1, run_name='/root/dataDisk/ms-swift/output/v37-20250327-184820', 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}, tp_size=0, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'cpu', 'pin_memory': True}, 'offload_param': {'device': 'cpu', 'pin_memory': True}, 'overlap_comm': True, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', '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: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], 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=True, resume_from_checkpoint=None, hub_model_id='TheAgenticAI/LLAMA-3.3-70B-Reasoning', hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=True, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs={'use_reentrant': True}, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy='steps', 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=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=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, 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, acc_strategy='token', sequence_parallel_size=1, check_model=True, train_sampler_random=True, is_encoder_decoder=False, metric_warmup_step=0, train_dataset_sample=-1, fsdp_num=1, acc_steps=1, train_type='lora', optimizer=None, local_repo_path=None, galore_config=None)"
358
  }
logging.jsonl CHANGED
@@ -1,34 +1,13 @@
1
- {"loss": 0.35729143, "token_acc": 0.89395794, "grad_norm": 0.21384092, "learning_rate": 3e-07, "memory(GiB)": 768.5, "train_speed(iter/s)": 0.004678, "epoch": 0.00304414, "global_step/max_steps": "1/328", "percentage": "0.30%", "elapsed_time": "3m 30s", "remaining_time": "19h 9m 30s"}
2
- {"loss": 0.32265121, "token_acc": 0.89477082, "grad_norm": 0.10401434, "learning_rate": 6.1e-07, "memory(GiB)": 768.53, "train_speed(iter/s)": 0.007188, "epoch": 0.00608828, "global_step/max_steps": "2/328", "percentage": "0.61%", "elapsed_time": "4m 35s", "remaining_time": "12h 28m 14s"}
3
- {"loss": 0.33431894, "token_acc": 0.88896965, "grad_norm": 0.13479018, "learning_rate": 9.1e-07, "memory(GiB)": 768.53, "train_speed(iter/s)": 0.008617, "epoch": 0.00913242, "global_step/max_steps": "3/328", "percentage": "0.91%", "elapsed_time": "5m 45s", "remaining_time": "10h 23m 30s"}
4
- {"loss": 0.21555151, "token_acc": 0.92855823, "grad_norm": 0.0987763, "learning_rate": 1.21e-06, "memory(GiB)": 768.53, "train_speed(iter/s)": 0.010151, "epoch": 0.01217656, "global_step/max_steps": "4/328", "percentage": "1.22%", "elapsed_time": "6m 31s", "remaining_time": "8h 48m 9s"}
5
- {"loss": 0.25857142, "token_acc": 0.91168183, "grad_norm": 0.1142064, "learning_rate": 1.52e-06, "memory(GiB)": 768.53, "train_speed(iter/s)": 0.011455, "epoch": 0.0152207, "global_step/max_steps": "5/328", "percentage": "1.52%", "elapsed_time": "7m 13s", "remaining_time": "7h 46m 54s"}
6
- {"loss": 0.24284926, "token_acc": 0.91845185, "grad_norm": 0.09238362, "learning_rate": 1.82e-06, "memory(GiB)": 768.53, "train_speed(iter/s)": 0.01237, "epoch": 0.01826484, "global_step/max_steps": "6/328", "percentage": "1.83%", "elapsed_time": "8m 2s", "remaining_time": "7h 11m 19s"}
7
- {"loss": 0.20129141, "token_acc": 0.93152436, "grad_norm": 0.11056672, "learning_rate": 2.12e-06, "memory(GiB)": 768.55, "train_speed(iter/s)": 0.013217, "epoch": 0.02130898, "global_step/max_steps": "7/328", "percentage": "2.13%", "elapsed_time": "8m 46s", "remaining_time": "6h 42m 37s"}
8
- {"loss": 0.26141307, "token_acc": 0.91274165, "grad_norm": 0.09076461, "learning_rate": 2.42e-06, "memory(GiB)": 768.55, "train_speed(iter/s)": 0.013447, "epoch": 0.02435312, "global_step/max_steps": "8/328", "percentage": "2.44%", "elapsed_time": "9m 52s", "remaining_time": "6h 34m 43s"}
9
- {"loss": 0.25274417, "token_acc": 0.91281625, "grad_norm": 0.07585815, "learning_rate": 2.73e-06, "memory(GiB)": 768.55, "train_speed(iter/s)": 0.013856, "epoch": 0.02739726, "global_step/max_steps": "9/328", "percentage": "2.74%", "elapsed_time": "10m 46s", "remaining_time": "6h 22m 2s"}
10
- {"loss": 0.24568725, "token_acc": 0.91618446, "grad_norm": 0.09478283, "learning_rate": 3.03e-06, "memory(GiB)": 768.55, "train_speed(iter/s)": 0.014157, "epoch": 0.0304414, "global_step/max_steps": "10/328", "percentage": "3.05%", "elapsed_time": "11m 43s", "remaining_time": "6h 12m 52s"}
11
- {"eval_loss": 0.30681169, "eval_token_acc": 0.89584491, "eval_runtime": 247.1437, "eval_samples_per_second": 0.328, "eval_steps_per_second": 0.328, "epoch": 0.0304414, "global_step/max_steps": "10/328", "percentage": "3.05%", "elapsed_time": "15m 50s", "remaining_time": "8h 23m 51s"}
12
- {"loss": 0.26882207, "token_acc": 0.89675909, "grad_norm": 0.10335801, "learning_rate": 3.33e-06, "memory(GiB)": 768.55, "train_speed(iter/s)": 0.010964, "epoch": 0.03348554, "global_step/max_steps": "11/328", "percentage": "3.35%", "elapsed_time": "16m 40s", "remaining_time": "8h 0m 30s"}
13
- {"loss": 0.27928257, "token_acc": 0.90756404, "grad_norm": 0.11043152, "learning_rate": 3.64e-06, "memory(GiB)": 815.51, "train_speed(iter/s)": 0.009228, "epoch": 0.03652968, "global_step/max_steps": "12/328", "percentage": "3.66%", "elapsed_time": "21m 37s", "remaining_time": "9h 29m 29s"}
14
- {"loss": 0.20683245, "token_acc": 0.92941097, "grad_norm": 0.08834656, "learning_rate": 3.94e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.00948, "epoch": 0.03957382, "global_step/max_steps": "13/328", "percentage": "3.96%", "elapsed_time": "22m 48s", "remaining_time": "9h 12m 40s"}
15
- {"loss": 0.1894401, "token_acc": 0.93424278, "grad_norm": 0.10855642, "learning_rate": 4.24e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.009895, "epoch": 0.04261796, "global_step/max_steps": "14/328", "percentage": "4.27%", "elapsed_time": "23m 31s", "remaining_time": "8h 47m 49s"}
16
- {"loss": 0.18465643, "token_acc": 0.93911768, "grad_norm": 0.10122923, "learning_rate": 4.55e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.009787, "epoch": 0.0456621, "global_step/max_steps": "15/328", "percentage": "4.57%", "elapsed_time": "25m 29s", "remaining_time": "8h 52m 1s"}
17
- {"loss": 0.30540073, "token_acc": 0.8956815, "grad_norm": 0.08773388, "learning_rate": 4.85e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.00999, "epoch": 0.04870624, "global_step/max_steps": "16/328", "percentage": "4.88%", "elapsed_time": "26m 38s", "remaining_time": "8h 39m 34s"}
18
- {"loss": 0.27026296, "token_acc": 0.90511308, "grad_norm": 0.10466376, "learning_rate": 5.15e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.010316, "epoch": 0.05175038, "global_step/max_steps": "17/328", "percentage": "5.18%", "elapsed_time": "27m 25s", "remaining_time": "8h 21m 36s"}
19
- {"loss": 0.18841991, "token_acc": 0.93332867, "grad_norm": 0.09853333, "learning_rate": 5.45e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.010012, "epoch": 0.05479452, "global_step/max_steps": "18/328", "percentage": "5.49%", "elapsed_time": "29m 54s", "remaining_time": "8h 35m 13s"}
20
- {"loss": 0.24658927, "token_acc": 0.91555587, "grad_norm": 0.12874357, "learning_rate": 5.76e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.009529, "epoch": 0.05783866, "global_step/max_steps": "19/328", "percentage": "5.79%", "elapsed_time": "33m 11s", "remaining_time": "8h 59m 40s"}
21
- {"loss": 0.26267582, "token_acc": 0.90973451, "grad_norm": 0.09905843, "learning_rate": 6.06e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.009347, "epoch": 0.0608828, "global_step/max_steps": "20/328", "percentage": "6.10%", "elapsed_time": "35m 36s", "remaining_time": "9h 8m 28s"}
22
- {"eval_loss": 0.30634969, "eval_token_acc": 0.8960476, "eval_runtime": 247.0826, "eval_samples_per_second": 0.328, "eval_steps_per_second": 0.328, "epoch": 0.0608828, "global_step/max_steps": "20/328", "percentage": "6.10%", "elapsed_time": "39m 44s", "remaining_time": "10h 11m 53s"}
23
- {"loss": 0.2819325, "token_acc": 0.89672202, "grad_norm": 0.10652838, "learning_rate": 6.36e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008354, "epoch": 0.06392694, "global_step/max_steps": "21/328", "percentage": "6.40%", "elapsed_time": "41m 50s", "remaining_time": "10h 11m 46s"}
24
- {"loss": 0.2759549, "token_acc": 0.9119108, "grad_norm": 0.13444495, "learning_rate": 6.67e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008204, "epoch": 0.06697108, "global_step/max_steps": "22/328", "percentage": "6.71%", "elapsed_time": "44m 38s", "remaining_time": "10h 20m 58s"}
25
- {"loss": 0.2600477, "token_acc": 0.91032317, "grad_norm": 0.11379159, "learning_rate": 6.97e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008384, "epoch": 0.07001522, "global_step/max_steps": "23/328", "percentage": "7.01%", "elapsed_time": "45m 40s", "remaining_time": "10h 5m 42s"}
26
- {"loss": 0.21677592, "token_acc": 0.92537639, "grad_norm": 0.10500745, "learning_rate": 7.27e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.00859, "epoch": 0.07305936, "global_step/max_steps": "24/328", "percentage": "7.32%", "elapsed_time": "46m 31s", "remaining_time": "9h 49m 15s"}
27
- {"loss": 0.24449337, "token_acc": 0.91679533, "grad_norm": 0.09542393, "learning_rate": 7.58e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008704, "epoch": 0.0761035, "global_step/max_steps": "25/328", "percentage": "7.62%", "elapsed_time": "47m 49s", "remaining_time": "9h 39m 39s"}
28
- {"loss": 0.31512672, "token_acc": 0.89371783, "grad_norm": 0.10736728, "learning_rate": 7.88e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.00849, "epoch": 0.07914764, "global_step/max_steps": "26/328", "percentage": "7.93%", "elapsed_time": "50m 59s", "remaining_time": "9h 52m 20s"}
29
- {"loss": 0.26235914, "token_acc": 0.91197774, "grad_norm": 0.09094914, "learning_rate": 8.18e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008173, "epoch": 0.08219178, "global_step/max_steps": "27/328", "percentage": "8.23%", "elapsed_time": "55m 0s", "remaining_time": "10h 13m 15s"}
30
- {"loss": 0.24826424, "token_acc": 0.91292023, "grad_norm": 0.10768829, "learning_rate": 8.48e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008326, "epoch": 0.08523592, "global_step/max_steps": "28/328", "percentage": "8.54%", "elapsed_time": "56m 0s", "remaining_time": "10h 0m 2s"}
31
- {"loss": 0.15691531, "token_acc": 0.94420261, "grad_norm": 0.08934391, "learning_rate": 8.79e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008529, "epoch": 0.08828006, "global_step/max_steps": "29/328", "percentage": "8.84%", "elapsed_time": "56m 37s", "remaining_time": "9h 43m 46s"}
32
- {"loss": 0.24090692, "token_acc": 0.91948326, "grad_norm": 0.10308056, "learning_rate": 9.09e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008655, "epoch": 0.0913242, "global_step/max_steps": "30/328", "percentage": "9.15%", "elapsed_time": "57m 43s", "remaining_time": "9h 33m 21s"}
33
- {"eval_loss": 0.30391112, "eval_token_acc": 0.89699565, "eval_runtime": 246.9889, "eval_samples_per_second": 0.328, "eval_steps_per_second": 0.328, "epoch": 0.0913242, "global_step/max_steps": "30/328", "percentage": "9.15%", "elapsed_time": "1h 1m 50s", "remaining_time": "10h 14m 14s"}
34
- {"loss": 0.25271627, "token_acc": 0.8980103, "grad_norm": 0.17491929, "learning_rate": 9.39e-06, "memory(GiB)": 815.53, "train_speed(iter/s)": 0.008214, "epoch": 0.09436834, "global_step/max_steps": "31/328", "percentage": "9.45%", "elapsed_time": "1h 2m 51s", "remaining_time": "10h 2m 11s"}
 
1
+ {"loss": 0.48510081, "token_acc": 0.84539138, "grad_norm": 14.7837925, "learning_rate": 5e-06, "memory(GiB)": 63.21, "train_speed(iter/s)": 0.018308, "epoch": 0.06557377, "global_step/max_steps": "1/15", "percentage": "6.67%", "elapsed_time": "45s", "remaining_time": "10m 36s"}
2
+ {"loss": 0.49545321, "token_acc": 0.841411, "grad_norm": 14.93395615, "learning_rate": 1e-05, "memory(GiB)": 63.21, "train_speed(iter/s)": 0.019485, "epoch": 0.13114754, "global_step/max_steps": "2/15", "percentage": "13.33%", "elapsed_time": "1m 33s", "remaining_time": "10m 7s"}
3
+ {"loss": 0.38048813, "token_acc": 0.89755256, "grad_norm": 18.88997841, "learning_rate": 9.23e-06, "memory(GiB)": 86.57, "train_speed(iter/s)": 0.019925, "epoch": 0.19672131, "global_step/max_steps": "3/15", "percentage": "20.00%", "elapsed_time": "2m 21s", "remaining_time": "9m 25s"}
4
+ {"loss": 0.37227625, "token_acc": 0.91562971, "grad_norm": 8.1224165, "learning_rate": 8.46e-06, "memory(GiB)": 87.82, "train_speed(iter/s)": 0.020139, "epoch": 0.26229508, "global_step/max_steps": "4/15", "percentage": "26.67%", "elapsed_time": "3m 9s", "remaining_time": "8m 40s"}
5
+ {"loss": 0.29637671, "token_acc": 0.89964737, "grad_norm": 5.36969328, "learning_rate": 7.69e-06, "memory(GiB)": 87.82, "train_speed(iter/s)": 0.020924, "epoch": 0.32786885, "global_step/max_steps": "5/15", "percentage": "33.33%", "elapsed_time": "3m 49s", "remaining_time": "7m 39s"}
6
+ {"loss": 0.28302842, "token_acc": 0.90767151, "grad_norm": 4.82790804, "learning_rate": 6.92e-06, "memory(GiB)": 87.82, "train_speed(iter/s)": 0.021064, "epoch": 0.39344262, "global_step/max_steps": "6/15", "percentage": "40.00%", "elapsed_time": "4m 35s", "remaining_time": "6m 53s"}
7
+ {"loss": 0.23423848, "token_acc": 0.90778898, "grad_norm": 5.02321243, "learning_rate": 6.15e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.020018, "epoch": 0.45901639, "global_step/max_steps": "7/15", "percentage": "46.67%", "elapsed_time": "5m 40s", "remaining_time": "6m 29s"}
8
+ {"loss": 0.21110272, "token_acc": 0.94392094, "grad_norm": 4.05730915, "learning_rate": 5.38e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.020303, "epoch": 0.52459016, "global_step/max_steps": "8/15", "percentage": "53.33%", "elapsed_time": "6m 24s", "remaining_time": "5m 36s"}
9
+ {"loss": 0.19155277, "token_acc": 0.94833101, "grad_norm": 4.49223232, "learning_rate": 4.62e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.01977, "epoch": 0.59016393, "global_step/max_steps": "9/15", "percentage": "60.00%", "elapsed_time": "7m 26s", "remaining_time": "4m 57s"}
10
+ {"loss": 0.18690804, "token_acc": 0.93399378, "grad_norm": 4.40774298, "learning_rate": 3.85e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.020146, "epoch": 0.6557377, "global_step/max_steps": "10/15", "percentage": "66.67%", "elapsed_time": "8m 7s", "remaining_time": "4m 3s"}
11
+ {"eval_loss": 0.18784808, "eval_token_acc": 0.95191512, "eval_runtime": 5.2458, "eval_samples_per_second": 5.719, "eval_steps_per_second": 0.763, "epoch": 0.6557377, "global_step/max_steps": "10/15", "percentage": "66.67%", "elapsed_time": "8m 12s", "remaining_time": "4m 6s"}
12
+ {"loss": 0.1912355, "token_acc": 0.95364897, "grad_norm": 4.21334696, "learning_rate": 3.08e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.019415, "epoch": 0.72131148, "global_step/max_steps": "11/15", "percentage": "73.33%", "elapsed_time": "9m 17s", "remaining_time": "3m 22s"}
13
+ {"loss": 0.17585593, "token_acc": 0.93333333, "grad_norm": 4.19101381, "learning_rate": 2.31e-06, "memory(GiB)": 127.02, "train_speed(iter/s)": 0.019755, "epoch": 0.78688525, "global_step/max_steps": "12/15", "percentage": "80.00%", "elapsed_time": "9m 58s", "remaining_time": "2m 29s"}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
runs/events.out.tfevents.1743101387.notebook-67532d59-da58-11ef-a92b-d22a634ff48d-0.226850.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4a930881e631352cd4456f9cea7b56009ec271aab9804f70d971a7df141b099
3
+ size 10951
special_tokens_map.json CHANGED
@@ -1,20 +1,1023 @@
1
  {
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
  "bos_token": {
3
- "content": "<|begin_of_text|>",
4
  "lstrip": false,
5
  "normalized": false,
6
  "rstrip": false,
7
  "single_word": false
8
  },
9
  "eos_token": {
10
- "content": "<|eot_id|>",
11
  "lstrip": false,
12
  "normalized": false,
13
  "rstrip": false,
14
  "single_word": false
15
  },
16
- "pad_token": {
17
- "content": "<|eot_id|>",
 
18
  "lstrip": false,
19
  "normalized": false,
20
  "rstrip": false,
 
1
  {
2
+ "additional_special_tokens": [
3
+ "<unk>",
4
+ "<s>",
5
+ "</s>",
6
+ "[INST]",
7
+ "[/INST]",
8
+ "[AVAILABLE_TOOLS]",
9
+ "[/AVAILABLE_TOOLS]",
10
+ "[TOOL_RESULTS]",
11
+ "[/TOOL_RESULTS]",
12
+ "[TOOL_CALLS]",
13
+ "[IMG]",
14
+ "<pad>",
15
+ "[IMG_BREAK]",
16
+ "[IMG_END]",
17
+ "[PREFIX]",
18
+ "[MIDDLE]",
19
+ "[SUFFIX]",
20
+ "[SYSTEM_PROMPT]",
21
+ "[/SYSTEM_PROMPT]",
22
+ "[TOOL_CONTENT]",
23
+ "<SPECIAL_20>",
24
+ "<SPECIAL_21>",
25
+ "<SPECIAL_22>",
26
+ "<SPECIAL_23>",
27
+ "<SPECIAL_24>",
28
+ "<SPECIAL_25>",
29
+ "<SPECIAL_26>",
30
+ "<SPECIAL_27>",
31
+ "<SPECIAL_28>",
32
+ "<SPECIAL_29>",
33
+ "<SPECIAL_30>",
34
+ "<SPECIAL_31>",
35
+ "<SPECIAL_32>",
36
+ "<SPECIAL_33>",
37
+ "<SPECIAL_34>",
38
+ "<SPECIAL_35>",
39
+ "<SPECIAL_36>",
40
+ "<SPECIAL_37>",
41
+ "<SPECIAL_38>",
42
+ "<SPECIAL_39>",
43
+ "<SPECIAL_40>",
44
+ "<SPECIAL_41>",
45
+ "<SPECIAL_42>",
46
+ "<SPECIAL_43>",
47
+ "<SPECIAL_44>",
48
+ "<SPECIAL_45>",
49
+ "<SPECIAL_46>",
50
+ "<SPECIAL_47>",
51
+ "<SPECIAL_48>",
52
+ "<SPECIAL_49>",
53
+ "<SPECIAL_50>",
54
+ "<SPECIAL_51>",
55
+ "<SPECIAL_52>",
56
+ "<SPECIAL_53>",
57
+ "<SPECIAL_54>",
58
+ "<SPECIAL_55>",
59
+ "<SPECIAL_56>",
60
+ "<SPECIAL_57>",
61
+ "<SPECIAL_58>",
62
+ "<SPECIAL_59>",
63
+ "<SPECIAL_60>",
64
+ "<SPECIAL_61>",
65
+ "<SPECIAL_62>",
66
+ "<SPECIAL_63>",
67
+ "<SPECIAL_64>",
68
+ "<SPECIAL_65>",
69
+ "<SPECIAL_66>",
70
+ "<SPECIAL_67>",
71
+ "<SPECIAL_68>",
72
+ "<SPECIAL_69>",
73
+ "<SPECIAL_70>",
74
+ "<SPECIAL_71>",
75
+ "<SPECIAL_72>",
76
+ "<SPECIAL_73>",
77
+ "<SPECIAL_74>",
78
+ "<SPECIAL_75>",
79
+ "<SPECIAL_76>",
80
+ "<SPECIAL_77>",
81
+ "<SPECIAL_78>",
82
+ "<SPECIAL_79>",
83
+ "<SPECIAL_80>",
84
+ "<SPECIAL_81>",
85
+ "<SPECIAL_82>",
86
+ "<SPECIAL_83>",
87
+ "<SPECIAL_84>",
88
+ "<SPECIAL_85>",
89
+ "<SPECIAL_86>",
90
+ "<SPECIAL_87>",
91
+ "<SPECIAL_88>",
92
+ "<SPECIAL_89>",
93
+ "<SPECIAL_90>",
94
+ "<SPECIAL_91>",
95
+ "<SPECIAL_92>",
96
+ "<SPECIAL_93>",
97
+ "<SPECIAL_94>",
98
+ "<SPECIAL_95>",
99
+ "<SPECIAL_96>",
100
+ "<SPECIAL_97>",
101
+ "<SPECIAL_98>",
102
+ "<SPECIAL_99>",
103
+ "<SPECIAL_100>",
104
+ "<SPECIAL_101>",
105
+ "<SPECIAL_102>",
106
+ "<SPECIAL_103>",
107
+ "<SPECIAL_104>",
108
+ "<SPECIAL_105>",
109
+ "<SPECIAL_106>",
110
+ "<SPECIAL_107>",
111
+ "<SPECIAL_108>",
112
+ "<SPECIAL_109>",
113
+ "<SPECIAL_110>",
114
+ "<SPECIAL_111>",
115
+ "<SPECIAL_112>",
116
+ "<SPECIAL_113>",
117
+ "<SPECIAL_114>",
118
+ "<SPECIAL_115>",
119
+ "<SPECIAL_116>",
120
+ "<SPECIAL_117>",
121
+ "<SPECIAL_118>",
122
+ "<SPECIAL_119>",
123
+ "<SPECIAL_120>",
124
+ "<SPECIAL_121>",
125
+ "<SPECIAL_122>",
126
+ "<SPECIAL_123>",
127
+ "<SPECIAL_124>",
128
+ "<SPECIAL_125>",
129
+ "<SPECIAL_126>",
130
+ "<SPECIAL_127>",
131
+ "<SPECIAL_128>",
132
+ "<SPECIAL_129>",
133
+ "<SPECIAL_130>",
134
+ "<SPECIAL_131>",
135
+ "<SPECIAL_132>",
136
+ "<SPECIAL_133>",
137
+ "<SPECIAL_134>",
138
+ "<SPECIAL_135>",
139
+ "<SPECIAL_136>",
140
+ "<SPECIAL_137>",
141
+ "<SPECIAL_138>",
142
+ "<SPECIAL_139>",
143
+ "<SPECIAL_140>",
144
+ "<SPECIAL_141>",
145
+ "<SPECIAL_142>",
146
+ "<SPECIAL_143>",
147
+ "<SPECIAL_144>",
148
+ "<SPECIAL_145>",
149
+ "<SPECIAL_146>",
150
+ "<SPECIAL_147>",
151
+ "<SPECIAL_148>",
152
+ "<SPECIAL_149>",
153
+ "<SPECIAL_150>",
154
+ "<SPECIAL_151>",
155
+ "<SPECIAL_152>",
156
+ "<SPECIAL_153>",
157
+ "<SPECIAL_154>",
158
+ "<SPECIAL_155>",
159
+ "<SPECIAL_156>",
160
+ "<SPECIAL_157>",
161
+ "<SPECIAL_158>",
162
+ "<SPECIAL_159>",
163
+ "<SPECIAL_160>",
164
+ "<SPECIAL_161>",
165
+ "<SPECIAL_162>",
166
+ "<SPECIAL_163>",
167
+ "<SPECIAL_164>",
168
+ "<SPECIAL_165>",
169
+ "<SPECIAL_166>",
170
+ "<SPECIAL_167>",
171
+ "<SPECIAL_168>",
172
+ "<SPECIAL_169>",
173
+ "<SPECIAL_170>",
174
+ "<SPECIAL_171>",
175
+ "<SPECIAL_172>",
176
+ "<SPECIAL_173>",
177
+ "<SPECIAL_174>",
178
+ "<SPECIAL_175>",
179
+ "<SPECIAL_176>",
180
+ "<SPECIAL_177>",
181
+ "<SPECIAL_178>",
182
+ "<SPECIAL_179>",
183
+ "<SPECIAL_180>",
184
+ "<SPECIAL_181>",
185
+ "<SPECIAL_182>",
186
+ "<SPECIAL_183>",
187
+ "<SPECIAL_184>",
188
+ "<SPECIAL_185>",
189
+ "<SPECIAL_186>",
190
+ "<SPECIAL_187>",
191
+ "<SPECIAL_188>",
192
+ "<SPECIAL_189>",
193
+ "<SPECIAL_190>",
194
+ "<SPECIAL_191>",
195
+ "<SPECIAL_192>",
196
+ "<SPECIAL_193>",
197
+ "<SPECIAL_194>",
198
+ "<SPECIAL_195>",
199
+ "<SPECIAL_196>",
200
+ "<SPECIAL_197>",
201
+ "<SPECIAL_198>",
202
+ "<SPECIAL_199>",
203
+ "<SPECIAL_200>",
204
+ "<SPECIAL_201>",
205
+ "<SPECIAL_202>",
206
+ "<SPECIAL_203>",
207
+ "<SPECIAL_204>",
208
+ "<SPECIAL_205>",
209
+ "<SPECIAL_206>",
210
+ "<SPECIAL_207>",
211
+ "<SPECIAL_208>",
212
+ "<SPECIAL_209>",
213
+ "<SPECIAL_210>",
214
+ "<SPECIAL_211>",
215
+ "<SPECIAL_212>",
216
+ "<SPECIAL_213>",
217
+ "<SPECIAL_214>",
218
+ "<SPECIAL_215>",
219
+ "<SPECIAL_216>",
220
+ "<SPECIAL_217>",
221
+ "<SPECIAL_218>",
222
+ "<SPECIAL_219>",
223
+ "<SPECIAL_220>",
224
+ "<SPECIAL_221>",
225
+ "<SPECIAL_222>",
226
+ "<SPECIAL_223>",
227
+ "<SPECIAL_224>",
228
+ "<SPECIAL_225>",
229
+ "<SPECIAL_226>",
230
+ "<SPECIAL_227>",
231
+ "<SPECIAL_228>",
232
+ "<SPECIAL_229>",
233
+ "<SPECIAL_230>",
234
+ "<SPECIAL_231>",
235
+ "<SPECIAL_232>",
236
+ "<SPECIAL_233>",
237
+ "<SPECIAL_234>",
238
+ "<SPECIAL_235>",
239
+ "<SPECIAL_236>",
240
+ "<SPECIAL_237>",
241
+ "<SPECIAL_238>",
242
+ "<SPECIAL_239>",
243
+ "<SPECIAL_240>",
244
+ "<SPECIAL_241>",
245
+ "<SPECIAL_242>",
246
+ "<SPECIAL_243>",
247
+ "<SPECIAL_244>",
248
+ "<SPECIAL_245>",
249
+ "<SPECIAL_246>",
250
+ "<SPECIAL_247>",
251
+ "<SPECIAL_248>",
252
+ "<SPECIAL_249>",
253
+ "<SPECIAL_250>",
254
+ "<SPECIAL_251>",
255
+ "<SPECIAL_252>",
256
+ "<SPECIAL_253>",
257
+ "<SPECIAL_254>",
258
+ "<SPECIAL_255>",
259
+ "<SPECIAL_256>",
260
+ "<SPECIAL_257>",
261
+ "<SPECIAL_258>",
262
+ "<SPECIAL_259>",
263
+ "<SPECIAL_260>",
264
+ "<SPECIAL_261>",
265
+ "<SPECIAL_262>",
266
+ "<SPECIAL_263>",
267
+ "<SPECIAL_264>",
268
+ "<SPECIAL_265>",
269
+ "<SPECIAL_266>",
270
+ "<SPECIAL_267>",
271
+ "<SPECIAL_268>",
272
+ "<SPECIAL_269>",
273
+ "<SPECIAL_270>",
274
+ "<SPECIAL_271>",
275
+ "<SPECIAL_272>",
276
+ "<SPECIAL_273>",
277
+ "<SPECIAL_274>",
278
+ "<SPECIAL_275>",
279
+ "<SPECIAL_276>",
280
+ "<SPECIAL_277>",
281
+ "<SPECIAL_278>",
282
+ "<SPECIAL_279>",
283
+ "<SPECIAL_280>",
284
+ "<SPECIAL_281>",
285
+ "<SPECIAL_282>",
286
+ "<SPECIAL_283>",
287
+ "<SPECIAL_284>",
288
+ "<SPECIAL_285>",
289
+ "<SPECIAL_286>",
290
+ "<SPECIAL_287>",
291
+ "<SPECIAL_288>",
292
+ "<SPECIAL_289>",
293
+ "<SPECIAL_290>",
294
+ "<SPECIAL_291>",
295
+ "<SPECIAL_292>",
296
+ "<SPECIAL_293>",
297
+ "<SPECIAL_294>",
298
+ "<SPECIAL_295>",
299
+ "<SPECIAL_296>",
300
+ "<SPECIAL_297>",
301
+ "<SPECIAL_298>",
302
+ "<SPECIAL_299>",
303
+ "<SPECIAL_300>",
304
+ "<SPECIAL_301>",
305
+ "<SPECIAL_302>",
306
+ "<SPECIAL_303>",
307
+ "<SPECIAL_304>",
308
+ "<SPECIAL_305>",
309
+ "<SPECIAL_306>",
310
+ "<SPECIAL_307>",
311
+ "<SPECIAL_308>",
312
+ "<SPECIAL_309>",
313
+ "<SPECIAL_310>",
314
+ "<SPECIAL_311>",
315
+ "<SPECIAL_312>",
316
+ "<SPECIAL_313>",
317
+ "<SPECIAL_314>",
318
+ "<SPECIAL_315>",
319
+ "<SPECIAL_316>",
320
+ "<SPECIAL_317>",
321
+ "<SPECIAL_318>",
322
+ "<SPECIAL_319>",
323
+ "<SPECIAL_320>",
324
+ "<SPECIAL_321>",
325
+ "<SPECIAL_322>",
326
+ "<SPECIAL_323>",
327
+ "<SPECIAL_324>",
328
+ "<SPECIAL_325>",
329
+ "<SPECIAL_326>",
330
+ "<SPECIAL_327>",
331
+ "<SPECIAL_328>",
332
+ "<SPECIAL_329>",
333
+ "<SPECIAL_330>",
334
+ "<SPECIAL_331>",
335
+ "<SPECIAL_332>",
336
+ "<SPECIAL_333>",
337
+ "<SPECIAL_334>",
338
+ "<SPECIAL_335>",
339
+ "<SPECIAL_336>",
340
+ "<SPECIAL_337>",
341
+ "<SPECIAL_338>",
342
+ "<SPECIAL_339>",
343
+ "<SPECIAL_340>",
344
+ "<SPECIAL_341>",
345
+ "<SPECIAL_342>",
346
+ "<SPECIAL_343>",
347
+ "<SPECIAL_344>",
348
+ "<SPECIAL_345>",
349
+ "<SPECIAL_346>",
350
+ "<SPECIAL_347>",
351
+ "<SPECIAL_348>",
352
+ "<SPECIAL_349>",
353
+ "<SPECIAL_350>",
354
+ "<SPECIAL_351>",
355
+ "<SPECIAL_352>",
356
+ "<SPECIAL_353>",
357
+ "<SPECIAL_354>",
358
+ "<SPECIAL_355>",
359
+ "<SPECIAL_356>",
360
+ "<SPECIAL_357>",
361
+ "<SPECIAL_358>",
362
+ "<SPECIAL_359>",
363
+ "<SPECIAL_360>",
364
+ "<SPECIAL_361>",
365
+ "<SPECIAL_362>",
366
+ "<SPECIAL_363>",
367
+ "<SPECIAL_364>",
368
+ "<SPECIAL_365>",
369
+ "<SPECIAL_366>",
370
+ "<SPECIAL_367>",
371
+ "<SPECIAL_368>",
372
+ "<SPECIAL_369>",
373
+ "<SPECIAL_370>",
374
+ "<SPECIAL_371>",
375
+ "<SPECIAL_372>",
376
+ "<SPECIAL_373>",
377
+ "<SPECIAL_374>",
378
+ "<SPECIAL_375>",
379
+ "<SPECIAL_376>",
380
+ "<SPECIAL_377>",
381
+ "<SPECIAL_378>",
382
+ "<SPECIAL_379>",
383
+ "<SPECIAL_380>",
384
+ "<SPECIAL_381>",
385
+ "<SPECIAL_382>",
386
+ "<SPECIAL_383>",
387
+ "<SPECIAL_384>",
388
+ "<SPECIAL_385>",
389
+ "<SPECIAL_386>",
390
+ "<SPECIAL_387>",
391
+ "<SPECIAL_388>",
392
+ "<SPECIAL_389>",
393
+ "<SPECIAL_390>",
394
+ "<SPECIAL_391>",
395
+ "<SPECIAL_392>",
396
+ "<SPECIAL_393>",
397
+ "<SPECIAL_394>",
398
+ "<SPECIAL_395>",
399
+ "<SPECIAL_396>",
400
+ "<SPECIAL_397>",
401
+ "<SPECIAL_398>",
402
+ "<SPECIAL_399>",
403
+ "<SPECIAL_400>",
404
+ "<SPECIAL_401>",
405
+ "<SPECIAL_402>",
406
+ "<SPECIAL_403>",
407
+ "<SPECIAL_404>",
408
+ "<SPECIAL_405>",
409
+ "<SPECIAL_406>",
410
+ "<SPECIAL_407>",
411
+ "<SPECIAL_408>",
412
+ "<SPECIAL_409>",
413
+ "<SPECIAL_410>",
414
+ "<SPECIAL_411>",
415
+ "<SPECIAL_412>",
416
+ "<SPECIAL_413>",
417
+ "<SPECIAL_414>",
418
+ "<SPECIAL_415>",
419
+ "<SPECIAL_416>",
420
+ "<SPECIAL_417>",
421
+ "<SPECIAL_418>",
422
+ "<SPECIAL_419>",
423
+ "<SPECIAL_420>",
424
+ "<SPECIAL_421>",
425
+ "<SPECIAL_422>",
426
+ "<SPECIAL_423>",
427
+ "<SPECIAL_424>",
428
+ "<SPECIAL_425>",
429
+ "<SPECIAL_426>",
430
+ "<SPECIAL_427>",
431
+ "<SPECIAL_428>",
432
+ "<SPECIAL_429>",
433
+ "<SPECIAL_430>",
434
+ "<SPECIAL_431>",
435
+ "<SPECIAL_432>",
436
+ "<SPECIAL_433>",
437
+ "<SPECIAL_434>",
438
+ "<SPECIAL_435>",
439
+ "<SPECIAL_436>",
440
+ "<SPECIAL_437>",
441
+ "<SPECIAL_438>",
442
+ "<SPECIAL_439>",
443
+ "<SPECIAL_440>",
444
+ "<SPECIAL_441>",
445
+ "<SPECIAL_442>",
446
+ "<SPECIAL_443>",
447
+ "<SPECIAL_444>",
448
+ "<SPECIAL_445>",
449
+ "<SPECIAL_446>",
450
+ "<SPECIAL_447>",
451
+ "<SPECIAL_448>",
452
+ "<SPECIAL_449>",
453
+ "<SPECIAL_450>",
454
+ "<SPECIAL_451>",
455
+ "<SPECIAL_452>",
456
+ "<SPECIAL_453>",
457
+ "<SPECIAL_454>",
458
+ "<SPECIAL_455>",
459
+ "<SPECIAL_456>",
460
+ "<SPECIAL_457>",
461
+ "<SPECIAL_458>",
462
+ "<SPECIAL_459>",
463
+ "<SPECIAL_460>",
464
+ "<SPECIAL_461>",
465
+ "<SPECIAL_462>",
466
+ "<SPECIAL_463>",
467
+ "<SPECIAL_464>",
468
+ "<SPECIAL_465>",
469
+ "<SPECIAL_466>",
470
+ "<SPECIAL_467>",
471
+ "<SPECIAL_468>",
472
+ "<SPECIAL_469>",
473
+ "<SPECIAL_470>",
474
+ "<SPECIAL_471>",
475
+ "<SPECIAL_472>",
476
+ "<SPECIAL_473>",
477
+ "<SPECIAL_474>",
478
+ "<SPECIAL_475>",
479
+ "<SPECIAL_476>",
480
+ "<SPECIAL_477>",
481
+ "<SPECIAL_478>",
482
+ "<SPECIAL_479>",
483
+ "<SPECIAL_480>",
484
+ "<SPECIAL_481>",
485
+ "<SPECIAL_482>",
486
+ "<SPECIAL_483>",
487
+ "<SPECIAL_484>",
488
+ "<SPECIAL_485>",
489
+ "<SPECIAL_486>",
490
+ "<SPECIAL_487>",
491
+ "<SPECIAL_488>",
492
+ "<SPECIAL_489>",
493
+ "<SPECIAL_490>",
494
+ "<SPECIAL_491>",
495
+ "<SPECIAL_492>",
496
+ "<SPECIAL_493>",
497
+ "<SPECIAL_494>",
498
+ "<SPECIAL_495>",
499
+ "<SPECIAL_496>",
500
+ "<SPECIAL_497>",
501
+ "<SPECIAL_498>",
502
+ "<SPECIAL_499>",
503
+ "<SPECIAL_500>",
504
+ "<SPECIAL_501>",
505
+ "<SPECIAL_502>",
506
+ "<SPECIAL_503>",
507
+ "<SPECIAL_504>",
508
+ "<SPECIAL_505>",
509
+ "<SPECIAL_506>",
510
+ "<SPECIAL_507>",
511
+ "<SPECIAL_508>",
512
+ "<SPECIAL_509>",
513
+ "<SPECIAL_510>",
514
+ "<SPECIAL_511>",
515
+ "<SPECIAL_512>",
516
+ "<SPECIAL_513>",
517
+ "<SPECIAL_514>",
518
+ "<SPECIAL_515>",
519
+ "<SPECIAL_516>",
520
+ "<SPECIAL_517>",
521
+ "<SPECIAL_518>",
522
+ "<SPECIAL_519>",
523
+ "<SPECIAL_520>",
524
+ "<SPECIAL_521>",
525
+ "<SPECIAL_522>",
526
+ "<SPECIAL_523>",
527
+ "<SPECIAL_524>",
528
+ "<SPECIAL_525>",
529
+ "<SPECIAL_526>",
530
+ "<SPECIAL_527>",
531
+ "<SPECIAL_528>",
532
+ "<SPECIAL_529>",
533
+ "<SPECIAL_530>",
534
+ "<SPECIAL_531>",
535
+ "<SPECIAL_532>",
536
+ "<SPECIAL_533>",
537
+ "<SPECIAL_534>",
538
+ "<SPECIAL_535>",
539
+ "<SPECIAL_536>",
540
+ "<SPECIAL_537>",
541
+ "<SPECIAL_538>",
542
+ "<SPECIAL_539>",
543
+ "<SPECIAL_540>",
544
+ "<SPECIAL_541>",
545
+ "<SPECIAL_542>",
546
+ "<SPECIAL_543>",
547
+ "<SPECIAL_544>",
548
+ "<SPECIAL_545>",
549
+ "<SPECIAL_546>",
550
+ "<SPECIAL_547>",
551
+ "<SPECIAL_548>",
552
+ "<SPECIAL_549>",
553
+ "<SPECIAL_550>",
554
+ "<SPECIAL_551>",
555
+ "<SPECIAL_552>",
556
+ "<SPECIAL_553>",
557
+ "<SPECIAL_554>",
558
+ "<SPECIAL_555>",
559
+ "<SPECIAL_556>",
560
+ "<SPECIAL_557>",
561
+ "<SPECIAL_558>",
562
+ "<SPECIAL_559>",
563
+ "<SPECIAL_560>",
564
+ "<SPECIAL_561>",
565
+ "<SPECIAL_562>",
566
+ "<SPECIAL_563>",
567
+ "<SPECIAL_564>",
568
+ "<SPECIAL_565>",
569
+ "<SPECIAL_566>",
570
+ "<SPECIAL_567>",
571
+ "<SPECIAL_568>",
572
+ "<SPECIAL_569>",
573
+ "<SPECIAL_570>",
574
+ "<SPECIAL_571>",
575
+ "<SPECIAL_572>",
576
+ "<SPECIAL_573>",
577
+ "<SPECIAL_574>",
578
+ "<SPECIAL_575>",
579
+ "<SPECIAL_576>",
580
+ "<SPECIAL_577>",
581
+ "<SPECIAL_578>",
582
+ "<SPECIAL_579>",
583
+ "<SPECIAL_580>",
584
+ "<SPECIAL_581>",
585
+ "<SPECIAL_582>",
586
+ "<SPECIAL_583>",
587
+ "<SPECIAL_584>",
588
+ "<SPECIAL_585>",
589
+ "<SPECIAL_586>",
590
+ "<SPECIAL_587>",
591
+ "<SPECIAL_588>",
592
+ "<SPECIAL_589>",
593
+ "<SPECIAL_590>",
594
+ "<SPECIAL_591>",
595
+ "<SPECIAL_592>",
596
+ "<SPECIAL_593>",
597
+ "<SPECIAL_594>",
598
+ "<SPECIAL_595>",
599
+ "<SPECIAL_596>",
600
+ "<SPECIAL_597>",
601
+ "<SPECIAL_598>",
602
+ "<SPECIAL_599>",
603
+ "<SPECIAL_600>",
604
+ "<SPECIAL_601>",
605
+ "<SPECIAL_602>",
606
+ "<SPECIAL_603>",
607
+ "<SPECIAL_604>",
608
+ "<SPECIAL_605>",
609
+ "<SPECIAL_606>",
610
+ "<SPECIAL_607>",
611
+ "<SPECIAL_608>",
612
+ "<SPECIAL_609>",
613
+ "<SPECIAL_610>",
614
+ "<SPECIAL_611>",
615
+ "<SPECIAL_612>",
616
+ "<SPECIAL_613>",
617
+ "<SPECIAL_614>",
618
+ "<SPECIAL_615>",
619
+ "<SPECIAL_616>",
620
+ "<SPECIAL_617>",
621
+ "<SPECIAL_618>",
622
+ "<SPECIAL_619>",
623
+ "<SPECIAL_620>",
624
+ "<SPECIAL_621>",
625
+ "<SPECIAL_622>",
626
+ "<SPECIAL_623>",
627
+ "<SPECIAL_624>",
628
+ "<SPECIAL_625>",
629
+ "<SPECIAL_626>",
630
+ "<SPECIAL_627>",
631
+ "<SPECIAL_628>",
632
+ "<SPECIAL_629>",
633
+ "<SPECIAL_630>",
634
+ "<SPECIAL_631>",
635
+ "<SPECIAL_632>",
636
+ "<SPECIAL_633>",
637
+ "<SPECIAL_634>",
638
+ "<SPECIAL_635>",
639
+ "<SPECIAL_636>",
640
+ "<SPECIAL_637>",
641
+ "<SPECIAL_638>",
642
+ "<SPECIAL_639>",
643
+ "<SPECIAL_640>",
644
+ "<SPECIAL_641>",
645
+ "<SPECIAL_642>",
646
+ "<SPECIAL_643>",
647
+ "<SPECIAL_644>",
648
+ "<SPECIAL_645>",
649
+ "<SPECIAL_646>",
650
+ "<SPECIAL_647>",
651
+ "<SPECIAL_648>",
652
+ "<SPECIAL_649>",
653
+ "<SPECIAL_650>",
654
+ "<SPECIAL_651>",
655
+ "<SPECIAL_652>",
656
+ "<SPECIAL_653>",
657
+ "<SPECIAL_654>",
658
+ "<SPECIAL_655>",
659
+ "<SPECIAL_656>",
660
+ "<SPECIAL_657>",
661
+ "<SPECIAL_658>",
662
+ "<SPECIAL_659>",
663
+ "<SPECIAL_660>",
664
+ "<SPECIAL_661>",
665
+ "<SPECIAL_662>",
666
+ "<SPECIAL_663>",
667
+ "<SPECIAL_664>",
668
+ "<SPECIAL_665>",
669
+ "<SPECIAL_666>",
670
+ "<SPECIAL_667>",
671
+ "<SPECIAL_668>",
672
+ "<SPECIAL_669>",
673
+ "<SPECIAL_670>",
674
+ "<SPECIAL_671>",
675
+ "<SPECIAL_672>",
676
+ "<SPECIAL_673>",
677
+ "<SPECIAL_674>",
678
+ "<SPECIAL_675>",
679
+ "<SPECIAL_676>",
680
+ "<SPECIAL_677>",
681
+ "<SPECIAL_678>",
682
+ "<SPECIAL_679>",
683
+ "<SPECIAL_680>",
684
+ "<SPECIAL_681>",
685
+ "<SPECIAL_682>",
686
+ "<SPECIAL_683>",
687
+ "<SPECIAL_684>",
688
+ "<SPECIAL_685>",
689
+ "<SPECIAL_686>",
690
+ "<SPECIAL_687>",
691
+ "<SPECIAL_688>",
692
+ "<SPECIAL_689>",
693
+ "<SPECIAL_690>",
694
+ "<SPECIAL_691>",
695
+ "<SPECIAL_692>",
696
+ "<SPECIAL_693>",
697
+ "<SPECIAL_694>",
698
+ "<SPECIAL_695>",
699
+ "<SPECIAL_696>",
700
+ "<SPECIAL_697>",
701
+ "<SPECIAL_698>",
702
+ "<SPECIAL_699>",
703
+ "<SPECIAL_700>",
704
+ "<SPECIAL_701>",
705
+ "<SPECIAL_702>",
706
+ "<SPECIAL_703>",
707
+ "<SPECIAL_704>",
708
+ "<SPECIAL_705>",
709
+ "<SPECIAL_706>",
710
+ "<SPECIAL_707>",
711
+ "<SPECIAL_708>",
712
+ "<SPECIAL_709>",
713
+ "<SPECIAL_710>",
714
+ "<SPECIAL_711>",
715
+ "<SPECIAL_712>",
716
+ "<SPECIAL_713>",
717
+ "<SPECIAL_714>",
718
+ "<SPECIAL_715>",
719
+ "<SPECIAL_716>",
720
+ "<SPECIAL_717>",
721
+ "<SPECIAL_718>",
722
+ "<SPECIAL_719>",
723
+ "<SPECIAL_720>",
724
+ "<SPECIAL_721>",
725
+ "<SPECIAL_722>",
726
+ "<SPECIAL_723>",
727
+ "<SPECIAL_724>",
728
+ "<SPECIAL_725>",
729
+ "<SPECIAL_726>",
730
+ "<SPECIAL_727>",
731
+ "<SPECIAL_728>",
732
+ "<SPECIAL_729>",
733
+ "<SPECIAL_730>",
734
+ "<SPECIAL_731>",
735
+ "<SPECIAL_732>",
736
+ "<SPECIAL_733>",
737
+ "<SPECIAL_734>",
738
+ "<SPECIAL_735>",
739
+ "<SPECIAL_736>",
740
+ "<SPECIAL_737>",
741
+ "<SPECIAL_738>",
742
+ "<SPECIAL_739>",
743
+ "<SPECIAL_740>",
744
+ "<SPECIAL_741>",
745
+ "<SPECIAL_742>",
746
+ "<SPECIAL_743>",
747
+ "<SPECIAL_744>",
748
+ "<SPECIAL_745>",
749
+ "<SPECIAL_746>",
750
+ "<SPECIAL_747>",
751
+ "<SPECIAL_748>",
752
+ "<SPECIAL_749>",
753
+ "<SPECIAL_750>",
754
+ "<SPECIAL_751>",
755
+ "<SPECIAL_752>",
756
+ "<SPECIAL_753>",
757
+ "<SPECIAL_754>",
758
+ "<SPECIAL_755>",
759
+ "<SPECIAL_756>",
760
+ "<SPECIAL_757>",
761
+ "<SPECIAL_758>",
762
+ "<SPECIAL_759>",
763
+ "<SPECIAL_760>",
764
+ "<SPECIAL_761>",
765
+ "<SPECIAL_762>",
766
+ "<SPECIAL_763>",
767
+ "<SPECIAL_764>",
768
+ "<SPECIAL_765>",
769
+ "<SPECIAL_766>",
770
+ "<SPECIAL_767>",
771
+ "<SPECIAL_768>",
772
+ "<SPECIAL_769>",
773
+ "<SPECIAL_770>",
774
+ "<SPECIAL_771>",
775
+ "<SPECIAL_772>",
776
+ "<SPECIAL_773>",
777
+ "<SPECIAL_774>",
778
+ "<SPECIAL_775>",
779
+ "<SPECIAL_776>",
780
+ "<SPECIAL_777>",
781
+ "<SPECIAL_778>",
782
+ "<SPECIAL_779>",
783
+ "<SPECIAL_780>",
784
+ "<SPECIAL_781>",
785
+ "<SPECIAL_782>",
786
+ "<SPECIAL_783>",
787
+ "<SPECIAL_784>",
788
+ "<SPECIAL_785>",
789
+ "<SPECIAL_786>",
790
+ "<SPECIAL_787>",
791
+ "<SPECIAL_788>",
792
+ "<SPECIAL_789>",
793
+ "<SPECIAL_790>",
794
+ "<SPECIAL_791>",
795
+ "<SPECIAL_792>",
796
+ "<SPECIAL_793>",
797
+ "<SPECIAL_794>",
798
+ "<SPECIAL_795>",
799
+ "<SPECIAL_796>",
800
+ "<SPECIAL_797>",
801
+ "<SPECIAL_798>",
802
+ "<SPECIAL_799>",
803
+ "<SPECIAL_800>",
804
+ "<SPECIAL_801>",
805
+ "<SPECIAL_802>",
806
+ "<SPECIAL_803>",
807
+ "<SPECIAL_804>",
808
+ "<SPECIAL_805>",
809
+ "<SPECIAL_806>",
810
+ "<SPECIAL_807>",
811
+ "<SPECIAL_808>",
812
+ "<SPECIAL_809>",
813
+ "<SPECIAL_810>",
814
+ "<SPECIAL_811>",
815
+ "<SPECIAL_812>",
816
+ "<SPECIAL_813>",
817
+ "<SPECIAL_814>",
818
+ "<SPECIAL_815>",
819
+ "<SPECIAL_816>",
820
+ "<SPECIAL_817>",
821
+ "<SPECIAL_818>",
822
+ "<SPECIAL_819>",
823
+ "<SPECIAL_820>",
824
+ "<SPECIAL_821>",
825
+ "<SPECIAL_822>",
826
+ "<SPECIAL_823>",
827
+ "<SPECIAL_824>",
828
+ "<SPECIAL_825>",
829
+ "<SPECIAL_826>",
830
+ "<SPECIAL_827>",
831
+ "<SPECIAL_828>",
832
+ "<SPECIAL_829>",
833
+ "<SPECIAL_830>",
834
+ "<SPECIAL_831>",
835
+ "<SPECIAL_832>",
836
+ "<SPECIAL_833>",
837
+ "<SPECIAL_834>",
838
+ "<SPECIAL_835>",
839
+ "<SPECIAL_836>",
840
+ "<SPECIAL_837>",
841
+ "<SPECIAL_838>",
842
+ "<SPECIAL_839>",
843
+ "<SPECIAL_840>",
844
+ "<SPECIAL_841>",
845
+ "<SPECIAL_842>",
846
+ "<SPECIAL_843>",
847
+ "<SPECIAL_844>",
848
+ "<SPECIAL_845>",
849
+ "<SPECIAL_846>",
850
+ "<SPECIAL_847>",
851
+ "<SPECIAL_848>",
852
+ "<SPECIAL_849>",
853
+ "<SPECIAL_850>",
854
+ "<SPECIAL_851>",
855
+ "<SPECIAL_852>",
856
+ "<SPECIAL_853>",
857
+ "<SPECIAL_854>",
858
+ "<SPECIAL_855>",
859
+ "<SPECIAL_856>",
860
+ "<SPECIAL_857>",
861
+ "<SPECIAL_858>",
862
+ "<SPECIAL_859>",
863
+ "<SPECIAL_860>",
864
+ "<SPECIAL_861>",
865
+ "<SPECIAL_862>",
866
+ "<SPECIAL_863>",
867
+ "<SPECIAL_864>",
868
+ "<SPECIAL_865>",
869
+ "<SPECIAL_866>",
870
+ "<SPECIAL_867>",
871
+ "<SPECIAL_868>",
872
+ "<SPECIAL_869>",
873
+ "<SPECIAL_870>",
874
+ "<SPECIAL_871>",
875
+ "<SPECIAL_872>",
876
+ "<SPECIAL_873>",
877
+ "<SPECIAL_874>",
878
+ "<SPECIAL_875>",
879
+ "<SPECIAL_876>",
880
+ "<SPECIAL_877>",
881
+ "<SPECIAL_878>",
882
+ "<SPECIAL_879>",
883
+ "<SPECIAL_880>",
884
+ "<SPECIAL_881>",
885
+ "<SPECIAL_882>",
886
+ "<SPECIAL_883>",
887
+ "<SPECIAL_884>",
888
+ "<SPECIAL_885>",
889
+ "<SPECIAL_886>",
890
+ "<SPECIAL_887>",
891
+ "<SPECIAL_888>",
892
+ "<SPECIAL_889>",
893
+ "<SPECIAL_890>",
894
+ "<SPECIAL_891>",
895
+ "<SPECIAL_892>",
896
+ "<SPECIAL_893>",
897
+ "<SPECIAL_894>",
898
+ "<SPECIAL_895>",
899
+ "<SPECIAL_896>",
900
+ "<SPECIAL_897>",
901
+ "<SPECIAL_898>",
902
+ "<SPECIAL_899>",
903
+ "<SPECIAL_900>",
904
+ "<SPECIAL_901>",
905
+ "<SPECIAL_902>",
906
+ "<SPECIAL_903>",
907
+ "<SPECIAL_904>",
908
+ "<SPECIAL_905>",
909
+ "<SPECIAL_906>",
910
+ "<SPECIAL_907>",
911
+ "<SPECIAL_908>",
912
+ "<SPECIAL_909>",
913
+ "<SPECIAL_910>",
914
+ "<SPECIAL_911>",
915
+ "<SPECIAL_912>",
916
+ "<SPECIAL_913>",
917
+ "<SPECIAL_914>",
918
+ "<SPECIAL_915>",
919
+ "<SPECIAL_916>",
920
+ "<SPECIAL_917>",
921
+ "<SPECIAL_918>",
922
+ "<SPECIAL_919>",
923
+ "<SPECIAL_920>",
924
+ "<SPECIAL_921>",
925
+ "<SPECIAL_922>",
926
+ "<SPECIAL_923>",
927
+ "<SPECIAL_924>",
928
+ "<SPECIAL_925>",
929
+ "<SPECIAL_926>",
930
+ "<SPECIAL_927>",
931
+ "<SPECIAL_928>",
932
+ "<SPECIAL_929>",
933
+ "<SPECIAL_930>",
934
+ "<SPECIAL_931>",
935
+ "<SPECIAL_932>",
936
+ "<SPECIAL_933>",
937
+ "<SPECIAL_934>",
938
+ "<SPECIAL_935>",
939
+ "<SPECIAL_936>",
940
+ "<SPECIAL_937>",
941
+ "<SPECIAL_938>",
942
+ "<SPECIAL_939>",
943
+ "<SPECIAL_940>",
944
+ "<SPECIAL_941>",
945
+ "<SPECIAL_942>",
946
+ "<SPECIAL_943>",
947
+ "<SPECIAL_944>",
948
+ "<SPECIAL_945>",
949
+ "<SPECIAL_946>",
950
+ "<SPECIAL_947>",
951
+ "<SPECIAL_948>",
952
+ "<SPECIAL_949>",
953
+ "<SPECIAL_950>",
954
+ "<SPECIAL_951>",
955
+ "<SPECIAL_952>",
956
+ "<SPECIAL_953>",
957
+ "<SPECIAL_954>",
958
+ "<SPECIAL_955>",
959
+ "<SPECIAL_956>",
960
+ "<SPECIAL_957>",
961
+ "<SPECIAL_958>",
962
+ "<SPECIAL_959>",
963
+ "<SPECIAL_960>",
964
+ "<SPECIAL_961>",
965
+ "<SPECIAL_962>",
966
+ "<SPECIAL_963>",
967
+ "<SPECIAL_964>",
968
+ "<SPECIAL_965>",
969
+ "<SPECIAL_966>",
970
+ "<SPECIAL_967>",
971
+ "<SPECIAL_968>",
972
+ "<SPECIAL_969>",
973
+ "<SPECIAL_970>",
974
+ "<SPECIAL_971>",
975
+ "<SPECIAL_972>",
976
+ "<SPECIAL_973>",
977
+ "<SPECIAL_974>",
978
+ "<SPECIAL_975>",
979
+ "<SPECIAL_976>",
980
+ "<SPECIAL_977>",
981
+ "<SPECIAL_978>",
982
+ "<SPECIAL_979>",
983
+ "<SPECIAL_980>",
984
+ "<SPECIAL_981>",
985
+ "<SPECIAL_982>",
986
+ "<SPECIAL_983>",
987
+ "<SPECIAL_984>",
988
+ "<SPECIAL_985>",
989
+ "<SPECIAL_986>",
990
+ "<SPECIAL_987>",
991
+ "<SPECIAL_988>",
992
+ "<SPECIAL_989>",
993
+ "<SPECIAL_990>",
994
+ "<SPECIAL_991>",
995
+ "<SPECIAL_992>",
996
+ "<SPECIAL_993>",
997
+ "<SPECIAL_994>",
998
+ "<SPECIAL_995>",
999
+ "<SPECIAL_996>",
1000
+ "<SPECIAL_997>",
1001
+ "<SPECIAL_998>",
1002
+ "<SPECIAL_999>"
1003
+ ],
1004
  "bos_token": {
1005
+ "content": "<s>",
1006
  "lstrip": false,
1007
  "normalized": false,
1008
  "rstrip": false,
1009
  "single_word": false
1010
  },
1011
  "eos_token": {
1012
+ "content": "</s>",
1013
  "lstrip": false,
1014
  "normalized": false,
1015
  "rstrip": false,
1016
  "single_word": false
1017
  },
1018
+ "pad_token": "</s>",
1019
+ "unk_token": {
1020
+ "content": "<unk>",
1021
  "lstrip": false,
1022
  "normalized": false,
1023
  "rstrip": false,
tokenizer.json CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
3
- size 17209920
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b76085f9923309d873994d444989f7eb6ec074b06f25b58f1e8d7b7741070949
3
+ size 17078037
tokenizer_config.json CHANGED
The diff for this file is too large to render. See raw diff
 
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3cbf4e59b7b424ef292a4078dbda221a4406c3652ba53be8253d0e4648ee22d6
3
- size 5880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60e8bc9742d10a0fff50f87c479bf8c55dfb4859ec782bfebc64808772d1fac3
3
+ size 8248
val_dataset.jsonl ADDED
The diff for this file is too large to render. See raw diff