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  2. qwen25_0.5b_fmft_official_5e-05/added_tokens.json +24 -0
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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
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "extra_special_tokens": {},
203
+ "model_max_length": 131072,
204
+ "pad_token": "<|endoftext|>",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
qwen25_0.5b_fmft_official_5e-05/training_args.txt ADDED
@@ -0,0 +1,132 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ TrainingArguments(
2
+ _n_gpu=1,
3
+ accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
4
+ adafactor=False,
5
+ adam_beta1=0.9,
6
+ adam_beta2=0.999,
7
+ adam_epsilon=1e-08,
8
+ auto_find_batch_size=False,
9
+ average_tokens_across_devices=False,
10
+ batch_eval_metrics=False,
11
+ bf16=True,
12
+ bf16_full_eval=False,
13
+ data_seed=None,
14
+ dataloader_drop_last=False,
15
+ dataloader_num_workers=0,
16
+ dataloader_persistent_workers=False,
17
+ dataloader_pin_memory=True,
18
+ dataloader_prefetch_factor=None,
19
+ ddp_backend=None,
20
+ ddp_broadcast_buffers=None,
21
+ ddp_bucket_cap_mb=None,
22
+ ddp_find_unused_parameters=None,
23
+ ddp_timeout=1800,
24
+ debug=[],
25
+ deepspeed=None,
26
+ disable_tqdm=False,
27
+ dispatch_batches=None,
28
+ do_eval=True,
29
+ do_predict=False,
30
+ do_train=False,
31
+ eval_accumulation_steps=None,
32
+ eval_delay=0,
33
+ eval_do_concat_batches=True,
34
+ eval_on_start=False,
35
+ eval_steps=None,
36
+ eval_strategy=IntervalStrategy.EPOCH,
37
+ eval_use_gather_object=False,
38
+ evaluation_strategy=None,
39
+ fp16=False,
40
+ fp16_backend=auto,
41
+ fp16_full_eval=False,
42
+ fp16_opt_level=O1,
43
+ fsdp=[],
44
+ fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
45
+ fsdp_min_num_params=0,
46
+ fsdp_transformer_layer_cls_to_wrap=None,
47
+ full_determinism=False,
48
+ gradient_accumulation_steps=1,
49
+ gradient_checkpointing=False,
50
+ gradient_checkpointing_kwargs=None,
51
+ greater_is_better=True,
52
+ group_by_length=False,
53
+ half_precision_backend=auto,
54
+ hub_always_push=False,
55
+ hub_model_id=None,
56
+ hub_private_repo=None,
57
+ hub_strategy=HubStrategy.EVERY_SAVE,
58
+ hub_token=<HUB_TOKEN>,
59
+ ignore_data_skip=False,
60
+ include_for_metrics=[],
61
+ include_inputs_for_metrics=False,
62
+ include_num_input_tokens_seen=False,
63
+ include_tokens_per_second=False,
64
+ jit_mode_eval=False,
65
+ label_names=None,
66
+ label_smoothing_factor=0.0,
67
+ learning_rate=5e-05,
68
+ length_column_name=length,
69
+ load_best_model_at_end=True,
70
+ local_rank=0,
71
+ log_level=passive,
72
+ log_level_replica=warning,
73
+ log_on_each_node=True,
74
+ logging_dir=./results-cc/qwen25-0.5b-instruct/qwen25_0.5b_fmft_official_5e-05/logs,
75
+ logging_first_step=False,
76
+ logging_nan_inf_filter=True,
77
+ logging_steps=5,
78
+ logging_strategy=IntervalStrategy.STEPS,
79
+ lr_scheduler_kwargs={},
80
+ lr_scheduler_type=SchedulerType.LINEAR,
81
+ max_grad_norm=1.0,
82
+ max_steps=-1,
83
+ metric_for_best_model=eval_bleu_4,
84
+ mp_parameters=,
85
+ neftune_noise_alpha=None,
86
+ no_cuda=False,
87
+ num_train_epochs=8,
88
+ optim=OptimizerNames.ADAMW_TORCH,
89
+ optim_args=None,
90
+ optim_target_modules=None,
91
+ output_dir=./results-cc/qwen25-0.5b-instruct/qwen25_0.5b_fmft_official_5e-05,
92
+ overwrite_output_dir=False,
93
+ past_index=-1,
94
+ per_device_eval_batch_size=8,
95
+ per_device_train_batch_size=8,
96
+ prediction_loss_only=False,
97
+ push_to_hub=False,
98
+ push_to_hub_model_id=None,
99
+ push_to_hub_organization=None,
100
+ push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
101
+ ray_scope=last,
102
+ remove_unused_columns=True,
103
+ report_to=['wandb'],
104
+ restore_callback_states_from_checkpoint=False,
105
+ resume_from_checkpoint=None,
106
+ run_name=qwen25_0.5b_fmft_official_5e-05,
107
+ save_on_each_node=False,
108
+ save_only_model=False,
109
+ save_safetensors=True,
110
+ save_steps=500,
111
+ save_strategy=SaveStrategy.EPOCH,
112
+ save_total_limit=2,
113
+ seed=42,
114
+ skip_memory_metrics=True,
115
+ split_batches=None,
116
+ tf32=None,
117
+ torch_compile=False,
118
+ torch_compile_backend=None,
119
+ torch_compile_mode=None,
120
+ torch_empty_cache_steps=None,
121
+ torchdynamo=None,
122
+ tpu_metrics_debug=False,
123
+ tpu_num_cores=None,
124
+ use_cpu=False,
125
+ use_ipex=False,
126
+ use_legacy_prediction_loop=False,
127
+ use_liger_kernel=False,
128
+ use_mps_device=False,
129
+ warmup_ratio=0.0,
130
+ warmup_steps=0,
131
+ weight_decay=0.01,
132
+ )
qwen25_0.5b_fmft_official_5e-05/vocab.json ADDED
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