shulijia commited on
Commit
99d10a9
·
verified ·
1 Parent(s): 8f9874b

Training in progress, step 500, checkpoint

Browse files
.gitattributes CHANGED
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
last-checkpoint/config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 1024,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 3072,
14
+ "max_position_embeddings": 32768,
15
+ "max_window_layers": 28,
16
+ "model_type": "qwen3",
17
+ "num_attention_heads": 16,
18
+ "num_hidden_layers": 28,
19
+ "num_key_value_heads": 8,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": null,
22
+ "rope_theta": 1000000,
23
+ "sliding_window": null,
24
+ "tie_word_embeddings": true,
25
+ "torch_dtype": "float32",
26
+ "transformers_version": "4.51.3",
27
+ "use_cache": true,
28
+ "use_sliding_window": false,
29
+ "vocab_size": 151936
30
+ }
last-checkpoint/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.51.3"
6
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4adbef5233be3e3d84243beedb888b020cc4c29bd207fd9ae3fdd9df6870e8d6
3
+ size 2384234968
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:28a3c9aa35f41d44f954c5fd0fa1bc214b5c8f2c33d80976e177bb0b67762f24
3
+ size 4768662910
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:adc02dc4e44614a860545e21da563dad461cc3a594ed7ac914f55bd3f920db08
3
+ size 1064
last-checkpoint/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": "<|endoftext|>",
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
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:574de68a0f63f2004784a421c7d42c2b2786c05cb38542d2ed3525757a1f7fde
3
+ size 11422932
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first 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 {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|endoftext|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 131072,
236
+ "pad_token": "<|endoftext|>",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,484 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.4917629702483403,
6
+ "eval_steps": 100,
7
+ "global_step": 500,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.009835259404966806,
14
+ "grad_norm": 6.6343817710876465,
15
+ "learning_rate": 4.411764705882353e-06,
16
+ "loss": 1.8551,
17
+ "mean_token_accuracy": 0.6902152626775205,
18
+ "num_tokens": 40960.0,
19
+ "step": 10
20
+ },
21
+ {
22
+ "epoch": 0.01967051880993361,
23
+ "grad_norm": 2.4751858711242676,
24
+ "learning_rate": 9.31372549019608e-06,
25
+ "loss": 0.2496,
26
+ "mean_token_accuracy": 0.9594422683119774,
27
+ "num_tokens": 81920.0,
28
+ "step": 20
29
+ },
30
+ {
31
+ "epoch": 0.029505778214900417,
32
+ "grad_norm": 2.0798258781433105,
33
+ "learning_rate": 1.4215686274509804e-05,
34
+ "loss": 0.2178,
35
+ "mean_token_accuracy": 0.9631604641675949,
36
+ "num_tokens": 122880.0,
37
+ "step": 30
38
+ },
39
+ {
40
+ "epoch": 0.03934103761986722,
41
+ "grad_norm": 1.7059319019317627,
42
+ "learning_rate": 1.9117647058823528e-05,
43
+ "loss": 0.1989,
44
+ "mean_token_accuracy": 0.9659735761582852,
45
+ "num_tokens": 163840.0,
46
+ "step": 40
47
+ },
48
+ {
49
+ "epoch": 0.04917629702483403,
50
+ "grad_norm": 2.177712917327881,
51
+ "learning_rate": 2.401960784313726e-05,
52
+ "loss": 0.2048,
53
+ "mean_token_accuracy": 0.9650195650756359,
54
+ "num_tokens": 204800.0,
55
+ "step": 50
56
+ },
57
+ {
58
+ "epoch": 0.059011556429800834,
59
+ "grad_norm": 1.8728467226028442,
60
+ "learning_rate": 2.8921568627450986e-05,
61
+ "loss": 0.2007,
62
+ "mean_token_accuracy": 0.9650440283119679,
63
+ "num_tokens": 245760.0,
64
+ "step": 60
65
+ },
66
+ {
67
+ "epoch": 0.06884681583476764,
68
+ "grad_norm": 2.018501043319702,
69
+ "learning_rate": 3.382352941176471e-05,
70
+ "loss": 0.1967,
71
+ "mean_token_accuracy": 0.9661203466355801,
72
+ "num_tokens": 286720.0,
73
+ "step": 70
74
+ },
75
+ {
76
+ "epoch": 0.07868207523973444,
77
+ "grad_norm": 1.6879123449325562,
78
+ "learning_rate": 3.872549019607844e-05,
79
+ "loss": 0.2068,
80
+ "mean_token_accuracy": 0.9635273911058903,
81
+ "num_tokens": 327680.0,
82
+ "step": 80
83
+ },
84
+ {
85
+ "epoch": 0.08851733464470125,
86
+ "grad_norm": 1.6801401376724243,
87
+ "learning_rate": 4.362745098039216e-05,
88
+ "loss": 0.1984,
89
+ "mean_token_accuracy": 0.9664383515715599,
90
+ "num_tokens": 368640.0,
91
+ "step": 90
92
+ },
93
+ {
94
+ "epoch": 0.09835259404966806,
95
+ "grad_norm": 1.5165321826934814,
96
+ "learning_rate": 4.8529411764705885e-05,
97
+ "loss": 0.1917,
98
+ "mean_token_accuracy": 0.9670498959720135,
99
+ "num_tokens": 409600.0,
100
+ "step": 100
101
+ },
102
+ {
103
+ "epoch": 0.10818785345463487,
104
+ "grad_norm": 1.7143133878707886,
105
+ "learning_rate": 4.961706783369803e-05,
106
+ "loss": 0.1976,
107
+ "mean_token_accuracy": 0.9658023424446582,
108
+ "num_tokens": 450560.0,
109
+ "step": 110
110
+ },
111
+ {
112
+ "epoch": 0.11802311285960167,
113
+ "grad_norm": 1.1708303689956665,
114
+ "learning_rate": 4.9070021881838073e-05,
115
+ "loss": 0.2047,
116
+ "mean_token_accuracy": 0.9647504858672619,
117
+ "num_tokens": 491520.0,
118
+ "step": 120
119
+ },
120
+ {
121
+ "epoch": 0.12785837226456848,
122
+ "grad_norm": 1.330039143562317,
123
+ "learning_rate": 4.852297592997812e-05,
124
+ "loss": 0.203,
125
+ "mean_token_accuracy": 0.963454008102417,
126
+ "num_tokens": 532480.0,
127
+ "step": 130
128
+ },
129
+ {
130
+ "epoch": 0.13769363166953527,
131
+ "grad_norm": 1.5339477062225342,
132
+ "learning_rate": 4.797592997811816e-05,
133
+ "loss": 0.1958,
134
+ "mean_token_accuracy": 0.9662671178579331,
135
+ "num_tokens": 573440.0,
136
+ "step": 140
137
+ },
138
+ {
139
+ "epoch": 0.1475288910745021,
140
+ "grad_norm": 1.5175786018371582,
141
+ "learning_rate": 4.742888402625821e-05,
142
+ "loss": 0.1956,
143
+ "mean_token_accuracy": 0.9662426561117172,
144
+ "num_tokens": 614400.0,
145
+ "step": 150
146
+ },
147
+ {
148
+ "epoch": 0.1573641504794689,
149
+ "grad_norm": 1.1754379272460938,
150
+ "learning_rate": 4.688183807439826e-05,
151
+ "loss": 0.2027,
152
+ "mean_token_accuracy": 0.9647504836320877,
153
+ "num_tokens": 655360.0,
154
+ "step": 160
155
+ },
156
+ {
157
+ "epoch": 0.1671994098844357,
158
+ "grad_norm": 0.958105206489563,
159
+ "learning_rate": 4.63347921225383e-05,
160
+ "loss": 0.1961,
161
+ "mean_token_accuracy": 0.9655332624912262,
162
+ "num_tokens": 696320.0,
163
+ "step": 170
164
+ },
165
+ {
166
+ "epoch": 0.1770346692894025,
167
+ "grad_norm": 1.1706628799438477,
168
+ "learning_rate": 4.578774617067834e-05,
169
+ "loss": 0.1868,
170
+ "mean_token_accuracy": 0.967563596367836,
171
+ "num_tokens": 737280.0,
172
+ "step": 180
173
+ },
174
+ {
175
+ "epoch": 0.1868699286943693,
176
+ "grad_norm": 1.4143725633621216,
177
+ "learning_rate": 4.524070021881838e-05,
178
+ "loss": 0.1947,
179
+ "mean_token_accuracy": 0.9658023461699485,
180
+ "num_tokens": 778240.0,
181
+ "step": 190
182
+ },
183
+ {
184
+ "epoch": 0.19670518809933613,
185
+ "grad_norm": 0.9401776194572449,
186
+ "learning_rate": 4.469365426695843e-05,
187
+ "loss": 0.2035,
188
+ "mean_token_accuracy": 0.9653375715017318,
189
+ "num_tokens": 819200.0,
190
+ "step": 200
191
+ },
192
+ {
193
+ "epoch": 0.20654044750430292,
194
+ "grad_norm": 0.9780746698379517,
195
+ "learning_rate": 4.414660831509847e-05,
196
+ "loss": 0.1877,
197
+ "mean_token_accuracy": 0.967000974714756,
198
+ "num_tokens": 860160.0,
199
+ "step": 210
200
+ },
201
+ {
202
+ "epoch": 0.21637570690926974,
203
+ "grad_norm": 1.2982661724090576,
204
+ "learning_rate": 4.359956236323852e-05,
205
+ "loss": 0.1831,
206
+ "mean_token_accuracy": 0.9679060593247414,
207
+ "num_tokens": 901120.0,
208
+ "step": 220
209
+ },
210
+ {
211
+ "epoch": 0.22621096631423654,
212
+ "grad_norm": 0.9432095885276794,
213
+ "learning_rate": 4.305251641137856e-05,
214
+ "loss": 0.1869,
215
+ "mean_token_accuracy": 0.9667318977415562,
216
+ "num_tokens": 942080.0,
217
+ "step": 230
218
+ },
219
+ {
220
+ "epoch": 0.23604622571920333,
221
+ "grad_norm": 1.0005096197128296,
222
+ "learning_rate": 4.2505470459518606e-05,
223
+ "loss": 0.1882,
224
+ "mean_token_accuracy": 0.9674412846565247,
225
+ "num_tokens": 983040.0,
226
+ "step": 240
227
+ },
228
+ {
229
+ "epoch": 0.24588148512417016,
230
+ "grad_norm": 0.8945526480674744,
231
+ "learning_rate": 4.1958424507658647e-05,
232
+ "loss": 0.1861,
233
+ "mean_token_accuracy": 0.9670498959720135,
234
+ "num_tokens": 1024000.0,
235
+ "step": 250
236
+ },
237
+ {
238
+ "epoch": 0.25571674452913695,
239
+ "grad_norm": 0.7671024799346924,
240
+ "learning_rate": 4.1411378555798694e-05,
241
+ "loss": 0.1843,
242
+ "mean_token_accuracy": 0.9678082145750523,
243
+ "num_tokens": 1064960.0,
244
+ "step": 260
245
+ },
246
+ {
247
+ "epoch": 0.2655520039341038,
248
+ "grad_norm": 1.0006589889526367,
249
+ "learning_rate": 4.0864332603938735e-05,
250
+ "loss": 0.1948,
251
+ "mean_token_accuracy": 0.9665361948311328,
252
+ "num_tokens": 1105920.0,
253
+ "step": 270
254
+ },
255
+ {
256
+ "epoch": 0.27538726333907054,
257
+ "grad_norm": 0.854852020740509,
258
+ "learning_rate": 4.0317286652078776e-05,
259
+ "loss": 0.1815,
260
+ "mean_token_accuracy": 0.9685909926891327,
261
+ "num_tokens": 1146880.0,
262
+ "step": 280
263
+ },
264
+ {
265
+ "epoch": 0.28522252274403737,
266
+ "grad_norm": 1.1041579246520996,
267
+ "learning_rate": 3.977024070021882e-05,
268
+ "loss": 0.1897,
269
+ "mean_token_accuracy": 0.9675146728754044,
270
+ "num_tokens": 1187840.0,
271
+ "step": 290
272
+ },
273
+ {
274
+ "epoch": 0.2950577821490042,
275
+ "grad_norm": 0.838715136051178,
276
+ "learning_rate": 3.9223194748358865e-05,
277
+ "loss": 0.1874,
278
+ "mean_token_accuracy": 0.9673434391617775,
279
+ "num_tokens": 1228800.0,
280
+ "step": 300
281
+ },
282
+ {
283
+ "epoch": 0.304893041553971,
284
+ "grad_norm": 0.809256911277771,
285
+ "learning_rate": 3.8676148796498906e-05,
286
+ "loss": 0.1887,
287
+ "mean_token_accuracy": 0.9662915796041489,
288
+ "num_tokens": 1269760.0,
289
+ "step": 310
290
+ },
291
+ {
292
+ "epoch": 0.3147283009589378,
293
+ "grad_norm": 0.9318556785583496,
294
+ "learning_rate": 3.8129102844638954e-05,
295
+ "loss": 0.1806,
296
+ "mean_token_accuracy": 0.9675391353666782,
297
+ "num_tokens": 1310720.0,
298
+ "step": 320
299
+ },
300
+ {
301
+ "epoch": 0.3245635603639046,
302
+ "grad_norm": 0.9607388377189636,
303
+ "learning_rate": 3.7582056892778995e-05,
304
+ "loss": 0.1803,
305
+ "mean_token_accuracy": 0.9687866866588593,
306
+ "num_tokens": 1351680.0,
307
+ "step": 330
308
+ },
309
+ {
310
+ "epoch": 0.3343988197688714,
311
+ "grad_norm": 1.1759089231491089,
312
+ "learning_rate": 3.703501094091904e-05,
313
+ "loss": 0.1853,
314
+ "mean_token_accuracy": 0.9683219142258167,
315
+ "num_tokens": 1392640.0,
316
+ "step": 340
317
+ },
318
+ {
319
+ "epoch": 0.3442340791738382,
320
+ "grad_norm": 0.8875013589859009,
321
+ "learning_rate": 3.648796498905908e-05,
322
+ "loss": 0.1798,
323
+ "mean_token_accuracy": 0.9690557658672333,
324
+ "num_tokens": 1433600.0,
325
+ "step": 350
326
+ },
327
+ {
328
+ "epoch": 0.354069338578805,
329
+ "grad_norm": 0.5948426127433777,
330
+ "learning_rate": 3.594091903719913e-05,
331
+ "loss": 0.1717,
332
+ "mean_token_accuracy": 0.9697162359952927,
333
+ "num_tokens": 1474560.0,
334
+ "step": 360
335
+ },
336
+ {
337
+ "epoch": 0.36390459798377184,
338
+ "grad_norm": 1.2609747648239136,
339
+ "learning_rate": 3.539387308533917e-05,
340
+ "loss": 0.1713,
341
+ "mean_token_accuracy": 0.9699119322001934,
342
+ "num_tokens": 1515520.0,
343
+ "step": 370
344
+ },
345
+ {
346
+ "epoch": 0.3737398573887386,
347
+ "grad_norm": 0.7272819876670837,
348
+ "learning_rate": 3.484682713347921e-05,
349
+ "loss": 0.175,
350
+ "mean_token_accuracy": 0.969153618067503,
351
+ "num_tokens": 1556480.0,
352
+ "step": 380
353
+ },
354
+ {
355
+ "epoch": 0.38357511679370543,
356
+ "grad_norm": 0.7384645938873291,
357
+ "learning_rate": 3.4299781181619254e-05,
358
+ "loss": 0.1687,
359
+ "mean_token_accuracy": 0.969373769313097,
360
+ "num_tokens": 1597440.0,
361
+ "step": 390
362
+ },
363
+ {
364
+ "epoch": 0.39341037619867225,
365
+ "grad_norm": 1.0476771593093872,
366
+ "learning_rate": 3.37527352297593e-05,
367
+ "loss": 0.1707,
368
+ "mean_token_accuracy": 0.969740702956915,
369
+ "num_tokens": 1638400.0,
370
+ "step": 400
371
+ },
372
+ {
373
+ "epoch": 0.403245635603639,
374
+ "grad_norm": 0.9195008277893066,
375
+ "learning_rate": 3.320568927789934e-05,
376
+ "loss": 0.1692,
377
+ "mean_token_accuracy": 0.9701076246798038,
378
+ "num_tokens": 1679360.0,
379
+ "step": 410
380
+ },
381
+ {
382
+ "epoch": 0.41308089500860584,
383
+ "grad_norm": 0.9223462343215942,
384
+ "learning_rate": 3.265864332603939e-05,
385
+ "loss": 0.1809,
386
+ "mean_token_accuracy": 0.968713303655386,
387
+ "num_tokens": 1720320.0,
388
+ "step": 420
389
+ },
390
+ {
391
+ "epoch": 0.42291615441357266,
392
+ "grad_norm": 0.9247675538063049,
393
+ "learning_rate": 3.211159737417943e-05,
394
+ "loss": 0.1728,
395
+ "mean_token_accuracy": 0.9698140874505043,
396
+ "num_tokens": 1761280.0,
397
+ "step": 430
398
+ },
399
+ {
400
+ "epoch": 0.4327514138185395,
401
+ "grad_norm": 0.7341080904006958,
402
+ "learning_rate": 3.156455142231948e-05,
403
+ "loss": 0.1724,
404
+ "mean_token_accuracy": 0.969716239720583,
405
+ "num_tokens": 1802240.0,
406
+ "step": 440
407
+ },
408
+ {
409
+ "epoch": 0.44258667322350626,
410
+ "grad_norm": 0.6656466126441956,
411
+ "learning_rate": 3.101750547045952e-05,
412
+ "loss": 0.1669,
413
+ "mean_token_accuracy": 0.9707191735506058,
414
+ "num_tokens": 1843200.0,
415
+ "step": 450
416
+ },
417
+ {
418
+ "epoch": 0.4524219326284731,
419
+ "grad_norm": 1.0469170808792114,
420
+ "learning_rate": 3.0470459518599564e-05,
421
+ "loss": 0.1678,
422
+ "mean_token_accuracy": 0.9706457875669002,
423
+ "num_tokens": 1884160.0,
424
+ "step": 460
425
+ },
426
+ {
427
+ "epoch": 0.4622571920334399,
428
+ "grad_norm": 0.8678417801856995,
429
+ "learning_rate": 2.9923413566739605e-05,
430
+ "loss": 0.1742,
431
+ "mean_token_accuracy": 0.9697651587426662,
432
+ "num_tokens": 1925120.0,
433
+ "step": 470
434
+ },
435
+ {
436
+ "epoch": 0.47209245143840667,
437
+ "grad_norm": 0.9280726313591003,
438
+ "learning_rate": 2.9376367614879653e-05,
439
+ "loss": 0.1706,
440
+ "mean_token_accuracy": 0.9689089976251125,
441
+ "num_tokens": 1966080.0,
442
+ "step": 480
443
+ },
444
+ {
445
+ "epoch": 0.4819277108433735,
446
+ "grad_norm": 1.031360387802124,
447
+ "learning_rate": 2.8829321663019694e-05,
448
+ "loss": 0.1674,
449
+ "mean_token_accuracy": 0.97010762616992,
450
+ "num_tokens": 2007040.0,
451
+ "step": 490
452
+ },
453
+ {
454
+ "epoch": 0.4917629702483403,
455
+ "grad_norm": 1.0764884948730469,
456
+ "learning_rate": 2.828227571115974e-05,
457
+ "loss": 0.1761,
458
+ "mean_token_accuracy": 0.9694471597671509,
459
+ "num_tokens": 2048000.0,
460
+ "step": 500
461
+ }
462
+ ],
463
+ "logging_steps": 10,
464
+ "max_steps": 1016,
465
+ "num_input_tokens_seen": 0,
466
+ "num_train_epochs": 1,
467
+ "save_steps": 500,
468
+ "stateful_callbacks": {
469
+ "TrainerControl": {
470
+ "args": {
471
+ "should_epoch_stop": false,
472
+ "should_evaluate": false,
473
+ "should_log": false,
474
+ "should_save": true,
475
+ "should_training_stop": false
476
+ },
477
+ "attributes": {}
478
+ }
479
+ },
480
+ "total_flos": 5412464099328000.0,
481
+ "train_batch_size": 1,
482
+ "trial_name": null,
483
+ "trial_params": null
484
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bf73865ec4fc5b6eb60f5807398b998b49ba98cf43e5b3b38354b0b812ca9f5
3
+ size 5624
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff