lyunee commited on
Commit
1954b66
·
verified ·
1 Parent(s): 57757b9

Upload continuous evaluation checkpoints, batch 7

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +4 -0
  2. continuous/qwen25/mc2_l14_224/finetune/model.safetensors +3 -0
  3. continuous/qwen25/mc2_l14_224/finetune/special_tokens_map.json +31 -0
  4. continuous/qwen25/mc2_l14_224/finetune/tokenizer.json +3 -0
  5. continuous/qwen25/mc2_l14_224/finetune/tokenizer_config.json +209 -0
  6. continuous/qwen25/mc2_l14_224/finetune/trainer_state.json +1856 -0
  7. continuous/qwen25/mc2_l14_224/finetune/training_args.bin +3 -0
  8. continuous/qwen25/mc2_l14_224/finetune/vocab.json +0 -0
  9. continuous/qwen25/mc2_l14_224/pretrain/config.json +58 -0
  10. continuous/qwen25/mc2_l14_224/pretrain/mm_projector.bin +3 -0
  11. continuous/qwen25/mc2_l14_224/pretrain/trainer_state.json +421 -0
  12. continuous/qwen25/mc2_m16_224/finetune/added_tokens.json +24 -0
  13. continuous/qwen25/mc2_m16_224/finetune/config.json +57 -0
  14. continuous/qwen25/mc2_m16_224/finetune/generation_config.json +14 -0
  15. continuous/qwen25/mc2_m16_224/finetune/merges.txt +0 -0
  16. continuous/qwen25/mc2_m16_224/finetune/model.safetensors +3 -0
  17. continuous/qwen25/mc2_m16_224/finetune/special_tokens_map.json +31 -0
  18. continuous/qwen25/mc2_m16_224/finetune/tokenizer.json +3 -0
  19. continuous/qwen25/mc2_m16_224/finetune/tokenizer_config.json +209 -0
  20. continuous/qwen25/mc2_m16_224/finetune/trainer_state.json +1856 -0
  21. continuous/qwen25/mc2_m16_224/finetune/training_args.bin +3 -0
  22. continuous/qwen25/mc2_m16_224/finetune/vocab.json +0 -0
  23. continuous/qwen25/mc2_m16_224/pretrain/config.json +58 -0
  24. continuous/qwen25/mc2_m16_224/pretrain/mm_projector.bin +3 -0
  25. continuous/qwen25/mc2_m16_224/pretrain/trainer_state.json +421 -0
  26. continuous/qwen25/mc2_m16_224_mt5/finetune/added_tokens.json +24 -0
  27. continuous/qwen25/mc2_m16_224_mt5/finetune/config.json +57 -0
  28. continuous/qwen25/mc2_m16_224_mt5/finetune/generation_config.json +14 -0
  29. continuous/qwen25/mc2_m16_224_mt5/finetune/merges.txt +0 -0
  30. continuous/qwen25/mc2_m16_224_mt5/finetune/model.safetensors +3 -0
  31. continuous/qwen25/mc2_m16_224_mt5/finetune/special_tokens_map.json +31 -0
  32. continuous/qwen25/mc2_m16_224_mt5/finetune/tokenizer.json +3 -0
  33. continuous/qwen25/mc2_m16_224_mt5/finetune/tokenizer_config.json +209 -0
  34. continuous/qwen25/mc2_m16_224_mt5/finetune/trainer_state.json +1856 -0
  35. continuous/qwen25/mc2_m16_224_mt5/finetune/training_args.bin +3 -0
  36. continuous/qwen25/mc2_m16_224_mt5/finetune/vocab.json +0 -0
  37. continuous/qwen25/mc2_m16_224_mt5/pretrain/config.json +58 -0
  38. continuous/qwen25/mc2_m16_224_mt5/pretrain/mm_projector.bin +3 -0
  39. continuous/qwen25/mc2_m16_224_mt5/pretrain/trainer_state.json +421 -0
  40. continuous/qwen25/mc2_m16_384/finetune/added_tokens.json +24 -0
  41. continuous/qwen25/mc2_m16_384/finetune/config.json +57 -0
  42. continuous/qwen25/mc2_m16_384/finetune/generation_config.json +14 -0
  43. continuous/qwen25/mc2_m16_384/finetune/merges.txt +0 -0
  44. continuous/qwen25/mc2_m16_384/finetune/model.safetensors +3 -0
  45. continuous/qwen25/mc2_m16_384/finetune/special_tokens_map.json +31 -0
  46. continuous/qwen25/mc2_m16_384/finetune/tokenizer.json +3 -0
  47. continuous/qwen25/mc2_m16_384/finetune/tokenizer_config.json +209 -0
  48. continuous/qwen25/mc2_m16_384/finetune/trainer_state.json +1856 -0
  49. continuous/qwen25/mc2_m16_384/finetune/training_args.bin +3 -0
  50. continuous/qwen25/mc2_m16_384/finetune/vocab.json +0 -0
.gitattributes CHANGED
@@ -68,3 +68,7 @@ continuous/qwen25/mc2_b32_384/finetune/tokenizer.json filter=lfs diff=lfs merge=
68
  continuous/qwen25/mc2_g14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
69
  continuous/qwen25/mc2_g14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
70
  continuous/qwen25/mc2_h14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
68
  continuous/qwen25/mc2_g14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
69
  continuous/qwen25/mc2_g14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
70
  continuous/qwen25/mc2_h14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
71
+ continuous/qwen25/mc2_l14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
72
+ continuous/qwen25/mc2_m16_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
73
+ continuous/qwen25/mc2_m16_224_mt5/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
74
+ continuous/qwen25/mc2_m16_384/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
continuous/qwen25/mc2_l14_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:870d61c9babb0227f192947bf1c51503965d312d8ca36b859b914fdb28f50560
3
+ size 4177931704
continuous/qwen25/mc2_l14_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen25/mc2_l14_224/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
continuous/qwen25/mc2_l14_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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": 8192,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
continuous/qwen25/mc2_l14_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 15.114603996276855,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.9052,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 5.379757404327393,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.4923,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 3.456979990005493,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0956,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.6332670450210571,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9267,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.3476366102695465,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.8956,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.265860378742218,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8475,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.22542931139469147,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8215,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.22437433898448944,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8293,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.2079779952764511,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8111,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.22076578438282013,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.7898,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.19754542410373688,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7818,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.2224540412425995,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.7941,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.19936759769916534,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7821,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.22732502222061157,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.7854,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.22679132223129272,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7663,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.2128051221370697,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7775,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.19375000894069672,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.778,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.22488422691822052,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8017,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.21468931436538696,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.795,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.2400956153869629,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.7853,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.2095334380865097,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7817,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.20858250558376312,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7655,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.21185994148254395,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7688,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.21817010641098022,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7625,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.21825969219207764,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7791,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.2143014818429947,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7758,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.20040369033813477,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7656,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.19657689332962036,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7632,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.2087303251028061,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.785,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.20141665637493134,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7482,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.2114259898662567,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7557,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.21333669126033783,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7603,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.2160813808441162,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7583,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.21442899107933044,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7724,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.21706406772136688,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7712,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.21671874821186066,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.758,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.2087402641773224,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7837,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.21003581583499908,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7489,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.23703910410404205,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7508,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.18968799710273743,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7553,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.20380418002605438,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7464,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.2087632417678833,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7634,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.2162550687789917,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.756,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.20226193964481354,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7524,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.20702673494815826,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7411,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.21235325932502747,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7479,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.2024451047182083,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7528,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.21309994161128998,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7512,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.18987809121608734,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7384,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.1991511583328247,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7515,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.22268106043338776,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7405,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.2213958501815796,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7697,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.21954451501369476,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7441,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.2248673290014267,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.756,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.21131162345409393,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7612,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.19974969327449799,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7618,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.22532647848129272,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7687,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.21998955309391022,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7498,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.21207381784915924,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7594,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.19901323318481445,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7518,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.22377325594425201,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7735,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.21403208374977112,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7576,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.21642917394638062,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7727,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.2034228891134262,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7665,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.1914915144443512,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.723,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.22455662488937378,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7533,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.23121367394924164,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7644,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.19596794247627258,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7315,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.21284624934196472,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.753,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.21604591608047485,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7596,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.20862695574760437,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7426,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.1971656084060669,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7475,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.2059982866048813,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7492,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.21329063177108765,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7392,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.1931198686361313,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7418,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.2042660415172577,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7312,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.20536047220230103,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7493,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.1983938068151474,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7457,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.21412931382656097,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7321,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.1993480920791626,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.758,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.21769478917121887,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7502,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.1956753432750702,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7456,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.21049824357032776,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7305,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.21689215302467346,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7366,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.20401524007320404,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7496,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.20821674168109894,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.732,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.2078704684972763,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7426,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.19707965850830078,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7385,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.20079182088375092,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.738,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.1860584169626236,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7392,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.21798209846019745,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7248,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.21079829335212708,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7301,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.22210615873336792,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7174,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.23038989305496216,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7526,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.2096896469593048,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7658,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.21523195505142212,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7516,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.21206583082675934,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7291,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.2058362513780594,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7378,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.21002115309238434,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7175,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.20490789413452148,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7379,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.20403194427490234,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.761,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.22212830185890198,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7521,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.19919133186340332,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7498,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.21023645997047424,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7401,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.19032973051071167,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.736,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.1914728581905365,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7412,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.2087353616952896,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7321,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.19705414772033691,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7558,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.22641058266162872,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7405,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.21289943158626556,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7546,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.21463654935359955,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7495,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.2237464040517807,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7461,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.20567022264003754,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7233,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.20194895565509796,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7461,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.2019462287425995,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7354,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.24128669500350952,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7603,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.2029421180486679,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7716,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.19456329941749573,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7447,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.2101643830537796,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7223,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.2161208987236023,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7367,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.21383459866046906,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7396,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.20989835262298584,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7556,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.20152361690998077,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7615,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.1987544447183609,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7288,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.19656851887702942,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7255,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.21723157167434692,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7365,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.23111577332019806,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7166,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.20663127303123474,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7284,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.20647293329238892,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7371,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.19643406569957733,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7396,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.19850556552410126,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7532,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.21492964029312134,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7223,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.22107228636741638,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7302,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.2126016914844513,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7369,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.20797733962535858,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7333,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.23392651975154877,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.748,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.21066848933696747,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7435,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.1987970620393753,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7523,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.2203347086906433,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7306,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.20622745156288147,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7336,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.2118251919746399,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7466,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.21767885982990265,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7306,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.22103926539421082,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7465,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.21318268775939941,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.752,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.21599628031253815,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7312,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.21296727657318115,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7374,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.20392480492591858,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7322,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.22679561376571655,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7318,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.1984763741493225,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7349,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.19852308928966522,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7474,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.2058991640806198,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7397,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.20268718898296356,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7474,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.20448251068592072,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7473,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.20428811013698578,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7542,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.215225487947464,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7401,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.20664937794208527,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7527,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.2130601853132248,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7519,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.2195250689983368,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7408,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.1836192011833191,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7432,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.194973886013031,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7312,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.19340261816978455,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7126,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.21016700565814972,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7122,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.203949972987175,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7452,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.18483348190784454,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7335,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.2075316607952118,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7449,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.2047448456287384,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7251,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.2189546525478363,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7458,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.21480692923069,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.739,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.20565976202487946,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7298,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.1837766170501709,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7283,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.20932051539421082,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7424,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.20843954384326935,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7321,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.21107088029384613,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7329,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.21113397181034088,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7357,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.20257095992565155,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7352,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.19663965702056885,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7218,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.2160496562719345,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7681,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.22264611721038818,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7506,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.20332592725753784,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7611,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.2058313935995102,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7256,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.21930497884750366,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.717,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.19607724249362946,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7389,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.2033325582742691,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7293,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.22264441847801208,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7358,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.22031886875629425,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7475,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.20421592891216278,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7418,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.19128301739692688,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7365,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.1990060955286026,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7456,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.2213444858789444,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.728,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.21128568053245544,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7383,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.19812627136707306,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7344,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.20407681167125702,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.73,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.2137129008769989,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7431,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.2247190624475479,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.752,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.21254469454288483,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7407,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.2218170315027237,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7566,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.20940083265304565,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7468,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.21801768243312836,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7451,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.21765030920505524,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7393,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.20398850739002228,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7316,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.20528504252433777,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7425,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.19537873566150665,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7275,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.20100075006484985,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7122,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.20554952323436737,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7287,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.20241102576255798,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7331,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.19400659203529358,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7164,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.21605609357357025,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.738,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.19360129535198212,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7231,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.19576580822467804,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7441,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.20411916077136993,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7315,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.20931822061538696,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.743,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.20833367109298706,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7439,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.22011397778987885,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7287,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.20507727563381195,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7328,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.2230200171470642,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.724,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.20112238824367523,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7436,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.20401395857334137,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7422,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.20610256493091583,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7348,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.19775360822677612,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7407,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.21478189527988434,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7373,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.21097274124622345,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7072,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.19041503965854645,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7394,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.21016176044940948,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7365,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.19182974100112915,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7472,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.1939581036567688,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7304,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.20594309270381927,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7207,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.20231139659881592,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7268,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.20554253458976746,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7409,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.2030980885028839,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7412,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.19294650852680206,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7219,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.19389821588993073,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7332,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.203164741396904,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.737,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.20090574026107788,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7427,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.20257596671581268,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7353,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.20320729911327362,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7218,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.19884338974952698,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7316,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.2189999222755432,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7251,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.20163306593894958,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7345,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.20421792566776276,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7474,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.22121217846870422,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7461,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.20139385759830475,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.727,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.2055376023054123,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.75,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.21648965775966644,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7453,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.21709614992141724,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.734,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.2211645096540451,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7308,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.20659662783145905,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7508,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.22171872854232788,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7466,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.20153294503688812,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7272,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.2043210119009018,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7344,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.20310825109481812,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.732,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.20677487552165985,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7259,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.20481035113334656,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7458,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.20366270840168,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7298,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.19724921882152557,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7316,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.19427776336669922,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7402,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.20086972415447235,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7328,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.20216654241085052,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7231,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.19881804287433624,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7137,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.20754384994506836,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7487,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 4.066856054212788e+18,
1829
+ "train_loss": 0.7553673464378854,
1830
+ "train_runtime": 8619.1113,
1831
+ "train_samples_per_second": 77.143,
1832
+ "train_steps_per_second": 0.301
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 4.066856054212788e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen25/mc2_l14_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ea0db9a8aec619b6af07d21e8d0e7b15193cfb792e2538ee83296c3bf96c1f76
3
+ size 6136
continuous/qwen25/mc2_l14_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_l14_224/pretrain/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen2ForCausalLM"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 1536,
15
+ "image_aspect_ratio": "square",
16
+ "image_crop_resolution": null,
17
+ "image_grid_pinpoints": null,
18
+ "image_split_resolution": null,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 8960,
21
+ "max_position_embeddings": 32768,
22
+ "max_window_layers": 21,
23
+ "mm_hidden_size": 1024,
24
+ "mm_newline_position": "grid",
25
+ "mm_patch_merge_type": "flat",
26
+ "mm_projector_lr": null,
27
+ "mm_projector_type": "mlp2x_gelu",
28
+ "mm_resampler_type": null,
29
+ "mm_spatial_pool_mode": "bilinear",
30
+ "mm_spatial_pool_stride": null,
31
+ "mm_tunable_parts": "mm_mlp_adapter",
32
+ "mm_use_im_patch_token": false,
33
+ "mm_use_im_start_end": false,
34
+ "mm_vision_select_feature": "patch",
35
+ "mm_vision_select_layer": -2,
36
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
37
+ "mm_vision_tower_lr": null,
38
+ "model_type": "qwen2",
39
+ "num_attention_heads": 12,
40
+ "num_hidden_layers": 28,
41
+ "num_key_value_heads": 2,
42
+ "pos_skipping_range": 4096,
43
+ "rms_norm_eps": 1e-06,
44
+ "rope_scaling": null,
45
+ "rope_theta": 1000000.0,
46
+ "sliding_window": 32768,
47
+ "tie_word_embeddings": true,
48
+ "tokenizer_model_max_length": 8192,
49
+ "tokenizer_padding_side": "right",
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.51.3",
52
+ "use_cache": true,
53
+ "use_mm_proj": true,
54
+ "use_pos_skipping": false,
55
+ "use_sliding_window": false,
56
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_l14_224.pt",
57
+ "vocab_size": 151936
58
+ }
continuous/qwen25/mc2_l14_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2532bd4b26b781c8c7886dd7f6a46b25bb402c8d5fd3824598939a49a2ca04ab
3
+ size 15743032
continuous/qwen25/mc2_l14_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.5605828762054443,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 4.7922,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.32338252663612366,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.5007,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.10640215128660202,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 3.2576,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.11233284324407578,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 3.1714,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.143575057387352,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 3.1056,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.13603857159614563,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 3.0313,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.13515746593475342,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.9743,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.11585989594459534,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.926,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.21629685163497925,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.8706,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.21672171354293823,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.8452,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.1830170452594757,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.8094,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.16867105662822723,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.8078,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.13484440743923187,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.7745,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.10492187738418579,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.7475,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.12424638867378235,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.7333,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.10864352434873581,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.7026,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.14068374037742615,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.682,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.11920050531625748,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.6487,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.13926160335540771,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.6246,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.13258130848407745,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.5879,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.12856905162334442,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.5728,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.12240317463874817,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.5739,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.11876916885375977,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.5613,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.12407710403203964,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.5448,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.1333903968334198,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.5407,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.11863861978054047,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.541,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.14252015948295593,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.5206,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.13033610582351685,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.5219,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.12918302416801453,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.5133,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.11928386241197586,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.5079,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.1346321702003479,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.5143,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.11825684458017349,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.5085,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.1431489735841751,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.4943,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.10054672509431839,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.4985,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.13861466944217682,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.4951,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.11972185969352722,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.4978,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.10848913341760635,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.4895,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.12226279824972153,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.4971,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.12621009349822998,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.487,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.1062069684267044,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.4804,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.1101030558347702,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.482,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.10745077580213547,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.4786,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.10573945194482803,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.4771,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.11785120517015457,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.4861,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.11175502091646194,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.4776,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.10645473003387451,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.4725,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.11124389618635178,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.4627,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.11082123965024948,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.4652,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.10290926694869995,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.4739,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.10559625178575516,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.4799,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.1101013645529747,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.4721,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.10641390830278397,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.4688,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.10214255005121231,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.4698,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.10081050544977188,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.4668,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.2179952270966784e+17,
394
+ "train_loss": 2.6759143199395696,
395
+ "train_runtime": 5301.6675,
396
+ "train_samples_per_second": 105.274,
397
+ "train_steps_per_second": 0.103
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.2179952270966784e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen25/mc2_m16_224/finetune/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
continuous/qwen25/mc2_m16_224/finetune/config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwenForCausalLM"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 151643,
9
+ "eos_token_id": 151645,
10
+ "faster_token_stride": 10,
11
+ "force_sample": false,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 1536,
14
+ "image_aspect_ratio": "square",
15
+ "image_crop_resolution": null,
16
+ "image_grid_pinpoints": null,
17
+ "image_split_resolution": null,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 8960,
20
+ "max_position_embeddings": 32768,
21
+ "max_window_layers": 21,
22
+ "mm_hidden_size": 512,
23
+ "mm_newline_position": "grid",
24
+ "mm_patch_merge_type": "flat",
25
+ "mm_projector_lr": 0.0001,
26
+ "mm_projector_type": "mlp2x_gelu",
27
+ "mm_resampler_type": null,
28
+ "mm_spatial_pool_mode": "bilinear",
29
+ "mm_spatial_pool_stride": null,
30
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
31
+ "mm_use_im_patch_token": false,
32
+ "mm_use_im_start_end": false,
33
+ "mm_vision_select_feature": "patch",
34
+ "mm_vision_select_layer": -2,
35
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
36
+ "mm_vision_tower_lr": null,
37
+ "model_type": "qwen2",
38
+ "num_attention_heads": 12,
39
+ "num_hidden_layers": 28,
40
+ "num_key_value_heads": 2,
41
+ "pos_skipping_range": 4096,
42
+ "rms_norm_eps": 1e-06,
43
+ "rope_scaling": null,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": 32768,
46
+ "tie_word_embeddings": true,
47
+ "tokenizer_model_max_length": 8192,
48
+ "tokenizer_padding_side": "right",
49
+ "torch_dtype": "bfloat16",
50
+ "transformers_version": "4.51.3",
51
+ "use_cache": true,
52
+ "use_mm_proj": true,
53
+ "use_pos_skipping": false,
54
+ "use_sliding_window": false,
55
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224.pt",
56
+ "vocab_size": 151936
57
+ }
continuous/qwen25/mc2_m16_224/finetune/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.51.3"
14
+ }
continuous/qwen25/mc2_m16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_m16_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41954a40088bb4dee18d9c120e1b2f444df366156477b938b644ac34351b44a3
3
+ size 3644007016
continuous/qwen25/mc2_m16_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen25/mc2_m16_224/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
continuous/qwen25/mc2_m16_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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": 8192,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
continuous/qwen25/mc2_m16_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 16.288795471191406,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.1761,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 11.511601448059082,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.8153,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 3.9250426292419434,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.2468,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.8525418043136597,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9727,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.440680593252182,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9193,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.2900700271129608,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8691,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.2321665734052658,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8413,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.23111803829669952,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8488,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.21423622965812683,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8292,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.2186075747013092,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8084,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.1999548077583313,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7989,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.2237752228975296,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8102,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.20301717519760132,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7991,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.23235280811786652,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8014,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.23169316351413727,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7828,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.21564103662967682,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7924,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.19768257439136505,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.793,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.23142103850841522,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8177,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.22244900465011597,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8105,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.2380964457988739,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8017,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.21020683646202087,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7954,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.21145296096801758,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7813,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.2158515751361847,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7848,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.22187089920043945,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7774,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.22201354801654816,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7943,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.21093527972698212,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7916,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.2035299390554428,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7819,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.20283955335617065,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7805,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.2071700245141983,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8011,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.1991768330335617,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7628,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.20873670279979706,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7717,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.21808387339115143,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7767,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.21633084118366241,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7741,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.211192324757576,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7878,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.22047904133796692,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7867,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.21744397282600403,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7726,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.20912770926952362,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7988,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.2104756236076355,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7646,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.22212260961532593,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7661,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.20146134495735168,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7714,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.2030630260705948,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.762,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.21657682955265045,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7784,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.21809349954128265,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.771,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.19967098534107208,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7673,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.2111966907978058,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7562,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.2139514833688736,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.763,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.20092251896858215,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7683,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.20846688747406006,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7673,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.19388310611248016,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7534,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.1973726749420166,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7658,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.2133578658103943,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7551,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.2236829549074173,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7846,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.22007854282855988,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7587,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.22696907818317413,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7703,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.20491227507591248,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7755,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.20329317450523376,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7763,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.22808435559272766,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7857,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.21905148029327393,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7658,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.21039220690727234,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7755,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.1985267549753189,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7679,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.22400768101215363,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7886,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.21560271084308624,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7725,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.22577184438705444,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7889,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.2039911448955536,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7807,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.18994522094726562,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7385,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.22563709318637848,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7701,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.23138193786144257,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7785,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.20282208919525146,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7468,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.21072335541248322,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7684,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.2123950868844986,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7752,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.20947079360485077,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7582,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.1925039291381836,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.763,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.20791536569595337,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7654,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.2156745046377182,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.756,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.19460701942443848,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7545,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.20894278585910797,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7475,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.20247431099414825,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7651,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.2028290033340454,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7627,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.21736489236354828,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7482,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.20517832040786743,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7758,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.219059020280838,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7666,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.19764654338359833,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7623,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.2051871120929718,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.746,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.22835248708724976,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7524,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.20835348963737488,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7646,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.21009822189807892,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7481,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.20456050336360931,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7591,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.19596132636070251,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7531,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.19885829091072083,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7531,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.18923085927963257,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7567,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.21729962527751923,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7418,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.21061204373836517,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7452,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.21927441656589508,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7339,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.22907552123069763,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7667,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.21692071855068207,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7814,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.22222675383090973,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7681,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.206553652882576,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7464,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.20847830176353455,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7528,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.2141447514295578,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7339,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.20676593482494354,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7525,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.2014734148979187,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7767,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.22567221522331238,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7686,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.2050096094608307,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7659,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.21002596616744995,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7566,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.1931946724653244,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.753,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.19158756732940674,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7581,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.21262875199317932,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.748,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.2017115205526352,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7722,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.2277713268995285,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7571,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.21170935034751892,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7717,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.21431288123130798,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.767,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.22440817952156067,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7622,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.20508740842342377,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7392,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.2058320939540863,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7612,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.20070785284042358,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7524,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.24046966433525085,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7768,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.20911650359630585,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7871,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.19310633838176727,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7603,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.21135659515857697,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7394,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.21752288937568665,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7534,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.21521420776844025,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7557,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.21382513642311096,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7716,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.20670993626117706,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7758,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.19914288818836212,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7446,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.1923430860042572,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7424,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.2222111076116562,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7524,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.23338721692562103,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7337,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.21165338158607483,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7433,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.2127082496881485,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7538,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.19939866662025452,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7554,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.2039617896080017,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.767,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.218671515583992,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7391,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.2246018499135971,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7463,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.21361508965492249,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7538,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.2089388072490692,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7486,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.23477107286453247,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.764,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.21296969056129456,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7607,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.1997753083705902,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7689,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.22383525967597961,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7483,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.21045644581317902,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7492,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.21369719505310059,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7631,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.22261664271354675,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7465,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.2256411910057068,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.763,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.21729658544063568,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7675,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.2179233431816101,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.747,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.21981894969940186,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7541,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.20603090524673462,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7493,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.22008609771728516,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7469,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.2020481675863266,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7521,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.2006344199180603,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7628,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.2121267169713974,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7553,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.2053990364074707,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7637,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.21236294507980347,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.764,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.20262780785560608,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7698,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.2086733877658844,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.756,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.2092708796262741,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7702,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.21840761601924896,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7673,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.22421573102474213,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7577,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.18610623478889465,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7592,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.1981368362903595,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7481,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.1967846155166626,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7303,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.2125241458415985,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7286,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.2055991142988205,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7607,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.18595252931118011,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7491,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.20913900434970856,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7607,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.2088804543018341,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7408,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.22024321556091309,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7619,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.2176813930273056,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7555,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.22187024354934692,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7469,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.18795916438102722,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7448,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.2104453295469284,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7585,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.2132103592157364,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7474,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.21366068720817566,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7519,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.21275867521762848,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7527,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.19982588291168213,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7512,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.19792386889457703,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7389,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.21640290319919586,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7836,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.22064004838466644,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7673,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.20353646576404572,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.779,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.20568087697029114,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7414,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.2179674655199051,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7348,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.20492053031921387,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.755,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.20481650531291962,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7459,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.2210734486579895,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7526,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.22121140360832214,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.763,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.2089855670928955,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7582,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.1928728073835373,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.753,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.2032562494277954,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7609,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.219020277261734,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7437,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.22221846878528595,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7551,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.19995063543319702,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7508,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.2064635157585144,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7469,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.2150709480047226,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7606,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.22300992906093597,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7675,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.21358713507652283,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7554,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.2264849990606308,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7727,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.2113042175769806,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7633,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.21814097464084625,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7617,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.22122417390346527,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7556,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.20687873661518097,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7482,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.20615042746067047,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7573,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.1958792805671692,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7436,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.20327842235565186,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7275,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.20761027932167053,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7453,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.19965431094169617,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7504,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.1919877976179123,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7324,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.2224104106426239,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7548,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.19875513017177582,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.74,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.2057286500930786,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7607,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.20953015983104706,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7489,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.2101055383682251,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7588,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.20772676169872284,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7596,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.22364068031311035,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7457,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.21129044890403748,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7503,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.2233978509902954,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7408,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.20042496919631958,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7589,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.2062404602766037,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7586,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.2032700479030609,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7502,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.2017485648393631,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7576,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.21377256512641907,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7537,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.2112908959388733,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7233,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.19390273094177246,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7563,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.20678476989269257,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7534,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.1947387158870697,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7632,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.19909805059432983,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7475,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.20846129953861237,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7371,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.20840491354465485,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7443,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.2092905193567276,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7564,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.20847876369953156,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7587,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.1944025158882141,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7389,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.19681933522224426,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7509,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.20260721445083618,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7538,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.20376621186733246,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7592,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.20533882081508636,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7525,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.20630250871181488,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7379,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.20250754058361053,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.748,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.22006921470165253,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.743,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.20922455191612244,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7514,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.20728087425231934,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7634,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.2228490561246872,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7628,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.2038961797952652,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7427,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.20545853674411774,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7671,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.2172468900680542,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7624,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.21919716894626617,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7506,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.22320537269115448,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7477,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.2103501707315445,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7675,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.22292308509349823,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7631,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.20595529675483704,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7441,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.20607131719589233,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7507,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.20815503597259521,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7483,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.20976288616657257,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7416,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.20461627840995789,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7619,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.209821879863739,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7465,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.19958749413490295,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7481,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.20056262612342834,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7568,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.20076054334640503,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7494,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.2042563110589981,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7393,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.20023392140865326,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7312,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.2173144817352295,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7643,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.3979476276590674e+18,
1829
+ "train_loss": 0.7743726096155096,
1830
+ "train_runtime": 8177.4213,
1831
+ "train_samples_per_second": 81.31,
1832
+ "train_steps_per_second": 0.318
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 3.3979476276590674e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen25/mc2_m16_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:77fe1a9a63c172bab929df0b458645f6bcd6964fbf4c09d5207e186508794e16
3
+ size 6136
continuous/qwen25/mc2_m16_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_m16_224/pretrain/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen2ForCausalLM"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 1536,
15
+ "image_aspect_ratio": "square",
16
+ "image_crop_resolution": null,
17
+ "image_grid_pinpoints": null,
18
+ "image_split_resolution": null,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 8960,
21
+ "max_position_embeddings": 32768,
22
+ "max_window_layers": 21,
23
+ "mm_hidden_size": 512,
24
+ "mm_newline_position": "grid",
25
+ "mm_patch_merge_type": "flat",
26
+ "mm_projector_lr": null,
27
+ "mm_projector_type": "mlp2x_gelu",
28
+ "mm_resampler_type": null,
29
+ "mm_spatial_pool_mode": "bilinear",
30
+ "mm_spatial_pool_stride": null,
31
+ "mm_tunable_parts": "mm_mlp_adapter",
32
+ "mm_use_im_patch_token": false,
33
+ "mm_use_im_start_end": false,
34
+ "mm_vision_select_feature": "patch",
35
+ "mm_vision_select_layer": -2,
36
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
37
+ "mm_vision_tower_lr": null,
38
+ "model_type": "qwen2",
39
+ "num_attention_heads": 12,
40
+ "num_hidden_layers": 28,
41
+ "num_key_value_heads": 2,
42
+ "pos_skipping_range": 4096,
43
+ "rms_norm_eps": 1e-06,
44
+ "rope_scaling": null,
45
+ "rope_theta": 1000000.0,
46
+ "sliding_window": 32768,
47
+ "tie_word_embeddings": true,
48
+ "tokenizer_model_max_length": 8192,
49
+ "tokenizer_padding_side": "right",
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.51.3",
52
+ "use_cache": true,
53
+ "use_mm_proj": true,
54
+ "use_pos_skipping": false,
55
+ "use_sliding_window": false,
56
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224.pt",
57
+ "vocab_size": 151936
58
+ }
continuous/qwen25/mc2_m16_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94c29412e906ac5cd09e7c71a594ab81e5c5afca7c35a020dcfe5b1b98e2d057
3
+ size 12597304
continuous/qwen25/mc2_m16_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 3.271164655685425,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 4.6396,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.38319090008735657,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.5046,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.09917092323303223,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 3.2819,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.09828156977891922,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 3.218,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.10038913786411285,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 3.1853,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.07526467740535736,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 3.1294,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.08796021342277527,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 3.0839,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.1084410548210144,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 3.0415,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.1288289576768875,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.9928,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.12765370309352875,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.9656,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.13520975410938263,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.934,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.1450054794549942,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.9201,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.1835455596446991,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.8867,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.11476298421621323,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.866,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.12783539295196533,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.8581,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.13325990736484528,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.8254,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.13115906715393066,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.8012,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.10847330838441849,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.7747,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.11461023986339569,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.7579,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.09740302711725235,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.7267,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.10305294394493103,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.7162,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.12250901758670807,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.723,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.1224115639925003,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.7114,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.10863951593637466,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.6951,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.11608681827783585,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.6898,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.09788592904806137,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.697,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.12143095582723618,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.6743,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.13118606805801392,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.6754,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.12023335695266724,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.6614,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.10531511902809143,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.6619,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.10306553542613983,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.666,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.12332956492900848,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.6619,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.09926410019397736,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.6468,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.12872529029846191,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.6488,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.11775332689285278,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.6468,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.1280543953180313,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.6512,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.10719691962003708,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.6448,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.09066632390022278,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.6515,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.1206979900598526,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.6393,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.1239546611905098,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.6345,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.09086289256811142,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.6376,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08489479869604111,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.6331,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.08497538417577744,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.6302,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.12431782484054565,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.6411,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08686698228120804,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.6342,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.08690136671066284,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.6274,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.09988857060670853,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.6189,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.09928096830844879,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.6226,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.11798673868179321,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.6319,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.09891407936811447,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.6375,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.09769132733345032,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.6255,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.08942878246307373,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.6253,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.08646480739116669,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.626,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.09041832387447357,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.6228,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.688705702783877e+17,
394
+ "train_loss": 2.806120305542552,
395
+ "train_runtime": 5246.0172,
396
+ "train_samples_per_second": 106.391,
397
+ "train_steps_per_second": 0.104
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 2.688705702783877e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwenForCausalLM"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 151643,
9
+ "eos_token_id": 151645,
10
+ "faster_token_stride": 10,
11
+ "force_sample": false,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 1536,
14
+ "image_aspect_ratio": "square",
15
+ "image_crop_resolution": null,
16
+ "image_grid_pinpoints": null,
17
+ "image_split_resolution": null,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 8960,
20
+ "max_position_embeddings": 32768,
21
+ "max_window_layers": 21,
22
+ "mm_hidden_size": 512,
23
+ "mm_newline_position": "grid",
24
+ "mm_patch_merge_type": "flat",
25
+ "mm_projector_lr": 0.0001,
26
+ "mm_projector_type": "mlp2x_gelu",
27
+ "mm_resampler_type": null,
28
+ "mm_spatial_pool_mode": "bilinear",
29
+ "mm_spatial_pool_stride": null,
30
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
31
+ "mm_use_im_patch_token": false,
32
+ "mm_use_im_start_end": false,
33
+ "mm_vision_select_feature": "patch",
34
+ "mm_vision_select_layer": -2,
35
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
36
+ "mm_vision_tower_lr": null,
37
+ "model_type": "qwen2",
38
+ "num_attention_heads": 12,
39
+ "num_hidden_layers": 28,
40
+ "num_key_value_heads": 2,
41
+ "pos_skipping_range": 4096,
42
+ "rms_norm_eps": 1e-06,
43
+ "rope_scaling": null,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": 32768,
46
+ "tie_word_embeddings": true,
47
+ "tokenizer_model_max_length": 8192,
48
+ "tokenizer_padding_side": "right",
49
+ "torch_dtype": "bfloat16",
50
+ "transformers_version": "4.51.3",
51
+ "use_cache": true,
52
+ "use_mm_proj": true,
53
+ "use_pos_skipping": false,
54
+ "use_sliding_window": false,
55
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224_mt5.pt",
56
+ "vocab_size": 151936
57
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.51.3"
14
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_m16_224_mt5/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5600f444f7661dd945f2dc46cbb314c10eb1dc22b953ead7a270a0e7a527a63d
3
+ size 3644007016
continuous/qwen25/mc2_m16_224_mt5/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
continuous/qwen25/mc2_m16_224_mt5/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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": 8192,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 17.946489334106445,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.019,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 10.400087356567383,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.6443,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 3.3501930236816406,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.1167,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.757749617099762,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9455,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.3714425563812256,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9117,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.2789915204048157,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8646,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.22899337112903595,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8384,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.23750527203083038,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8474,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.21610580384731293,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8281,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.2217676043510437,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8077,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.19842316210269928,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.798,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.22483044862747192,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8096,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.20166398584842682,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7992,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.23341001570224762,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8015,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.23562155663967133,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.783,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.21823126077651978,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7922,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.19712361693382263,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7929,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.2300766408443451,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8179,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.22057217359542847,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8109,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.250495582818985,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8019,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.21307650208473206,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7959,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.21728742122650146,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7812,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.215750053524971,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7841,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.2224174588918686,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7778,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.2246825397014618,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.7944,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.21317213773727417,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7919,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.20239098370075226,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7818,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.19969305396080017,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7802,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.21302467584609985,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8015,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.19669854640960693,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7627,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.20913861691951752,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7723,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.2178550660610199,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7764,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.2206895351409912,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7741,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.21030789613723755,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7877,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.22136712074279785,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7872,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.21178635954856873,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7732,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.2112646847963333,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.799,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.21052142977714539,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7645,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.21341727674007416,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.766,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.20068255066871643,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7717,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.20311903953552246,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.762,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.21248885989189148,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7785,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.21587100625038147,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.771,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.20114363729953766,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7681,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.21528469026088715,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7565,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.21150706708431244,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7633,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.2017327845096588,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7681,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.20973379909992218,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7674,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.19291938841342926,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7541,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.1934889853000641,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7656,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.21811489760875702,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.755,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.22245967388153076,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7853,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.21980620920658112,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.759,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.2326648086309433,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.771,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.20531702041625977,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7756,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.20525620877742767,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7766,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.226873517036438,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7856,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.22353024780750275,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7656,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.2133764922618866,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7755,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.19909435510635376,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7678,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.23409725725650787,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7887,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.21527846157550812,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7726,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.22071720659732819,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7882,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.20500795543193817,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7806,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.19545669853687286,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7385,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.22581326961517334,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7702,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.2226068526506424,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7785,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.20091012120246887,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7467,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.21000726521015167,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7687,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.21369947493076324,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.775,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.21368445456027985,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7582,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.19397543370723724,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7632,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.2081318199634552,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7656,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.21429389715194702,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7554,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.1985684186220169,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7549,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.20911246538162231,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7475,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.20631681382656097,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7652,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.19921927154064178,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7626,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.21662472188472748,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7484,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.20460261404514313,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7757,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.2161598652601242,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7672,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.20158053934574127,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7618,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.20826669037342072,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7469,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.2278338372707367,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7529,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.2085474580526352,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7649,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.2084922045469284,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7482,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.2052047997713089,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7588,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.19877785444259644,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7538,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.20094160735607147,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7536,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.1901484876871109,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7566,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.21791775524616241,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7416,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.2077992856502533,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7459,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.22126300632953644,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7342,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.23142030835151672,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7673,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.21628747880458832,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7804,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.2196776270866394,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7678,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.21377627551555634,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7462,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.20526368916034698,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7532,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.2162705510854721,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.735,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.20701883733272552,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7527,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.20308168232440948,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7765,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.22281944751739502,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7688,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.2043282389640808,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.766,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.21408423781394958,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.756,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.19420672953128815,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7529,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.1940777599811554,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7582,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.21019771695137024,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7482,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.2048809677362442,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.772,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.22884605824947357,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.757,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.21377931535243988,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7707,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.2175796926021576,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7671,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.22576279938220978,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7623,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.21094109117984772,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7397,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.20463645458221436,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7619,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.20472411811351776,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7523,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.24761930108070374,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7773,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.21116669476032257,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7879,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.19568389654159546,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7603,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.2199745625257492,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7395,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.215942844748497,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7535,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.21790876984596252,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7554,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.2154826521873474,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.772,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.2088659554719925,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7767,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.20226368308067322,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7446,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.1928059309720993,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7422,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.22634586691856384,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7527,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.23566408455371857,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7341,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.20938095450401306,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7435,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.21409724652767181,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7536,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.2033991664648056,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7559,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.20759224891662598,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7678,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.21629536151885986,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7387,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.2309747189283371,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7466,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.2208855003118515,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.754,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.21024666726589203,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7489,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.23770283162593842,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7649,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.21441885828971863,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7611,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.2043793797492981,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7695,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.22266699373722076,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7483,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.20998956263065338,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7494,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.21371926367282867,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.763,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.22156395018100739,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7465,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.22652852535247803,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7632,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.22102586925029755,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7676,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.2220848649740219,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7474,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.2216523140668869,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.754,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.2109246551990509,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7498,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.2210337072610855,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.747,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.20343822240829468,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7523,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.20101144909858704,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.763,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.21249139308929443,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7558,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.2062484622001648,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7634,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.21326501667499542,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7642,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.20311339199543,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7702,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.21383582055568695,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7561,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.20350584387779236,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7703,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.22511819005012512,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7679,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.22315967082977295,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7573,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.18645760416984558,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7593,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.20026874542236328,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7481,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.20088103413581848,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.73,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.21048805117607117,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7285,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.20529092848300934,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7611,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.18651160597801208,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7494,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.20862846076488495,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7614,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.21366997063159943,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7408,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.2224278599023819,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7614,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.22007468342781067,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7557,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.2168564647436142,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7465,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.18673951923847198,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7455,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.21472465991973877,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.759,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.2146589457988739,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7476,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.21385711431503296,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7514,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.21231603622436523,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7531,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.20154190063476562,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7513,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.19922277331352234,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7397,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.2174701988697052,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7836,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.22188161313533783,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7674,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.20601807534694672,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7789,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.20942874252796173,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7414,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.22094810009002686,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7347,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.19887880980968475,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7553,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.2053019255399704,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7471,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.221902996301651,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.752,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.22843322157859802,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7632,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.2099401205778122,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7577,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.1918313205242157,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.753,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.2015622854232788,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7612,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.22247175872325897,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.744,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.2192992866039276,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7552,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.20429269969463348,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7509,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.20754073560237885,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7466,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.212954580783844,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7612,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.22112978994846344,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7674,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.21691519021987915,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7562,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.22664524614810944,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7735,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.20755329728126526,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7632,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.21877416968345642,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7622,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.22153635323047638,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7556,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.2072059065103531,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7478,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.2077191174030304,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7576,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.19917038083076477,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7435,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.20422153174877167,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.728,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.20686648786067963,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7455,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.20089182257652283,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7504,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.19403326511383057,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7325,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.22272174060344696,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7552,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.1956993043422699,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7403,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.2041662633419037,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7607,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.21103177964687347,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7491,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.20936903357505798,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7591,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.21097984910011292,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7598,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.2232218086719513,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7455,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.20916861295700073,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7507,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.22733628749847412,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7403,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.20365650951862335,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7597,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.2051434963941574,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.759,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.2052781581878662,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7509,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.2215193510055542,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7578,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.22075481712818146,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7539,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.20797300338745117,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7234,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.197932168841362,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7563,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.20865581929683685,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7532,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.19626477360725403,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7633,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.20305222272872925,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.748,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.20897530019283295,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7372,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.2076602727174759,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7449,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.21175378561019897,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7567,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.2099006325006485,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7596,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.19856323301792145,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7388,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.19641050696372986,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7507,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.20263437926769257,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.754,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.2089318484067917,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7592,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.20733408629894257,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7525,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.20699486136436462,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7379,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.20353306829929352,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7484,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.22034503519535065,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7434,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.21327997744083405,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7514,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.2092486470937729,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.763,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.2224603146314621,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7624,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.20579323172569275,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7424,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.20996473729610443,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7674,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.21724142134189606,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7626,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.22044630348682404,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.751,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.2259121686220169,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7483,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.21290327608585358,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7681,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.22176212072372437,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7629,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.20919044315814972,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7441,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.21189755201339722,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7506,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.20441526174545288,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7482,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.20946770906448364,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7414,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.20916658639907837,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7616,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.20734639465808868,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7468,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.20028896629810333,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7478,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.20245103538036346,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.757,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.20345163345336914,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7493,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.2047918289899826,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7391,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.20237474143505096,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7306,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.21342609822750092,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7641,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.3979476276590674e+18,
1829
+ "train_loss": 0.7725522557634273,
1830
+ "train_runtime": 8184.592,
1831
+ "train_samples_per_second": 81.238,
1832
+ "train_steps_per_second": 0.317
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 3.3979476276590674e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen25/mc2_m16_224_mt5/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3f7115b70074cf3a3bc9e8e913f3c3e9db7a8964a706cad816133915d099419
3
+ size 6136
continuous/qwen25/mc2_m16_224_mt5/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_m16_224_mt5/pretrain/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen2ForCausalLM"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "hidden_act": "silu",
14
+ "hidden_size": 1536,
15
+ "image_aspect_ratio": "square",
16
+ "image_crop_resolution": null,
17
+ "image_grid_pinpoints": null,
18
+ "image_split_resolution": null,
19
+ "initializer_range": 0.02,
20
+ "intermediate_size": 8960,
21
+ "max_position_embeddings": 32768,
22
+ "max_window_layers": 21,
23
+ "mm_hidden_size": 512,
24
+ "mm_newline_position": "grid",
25
+ "mm_patch_merge_type": "flat",
26
+ "mm_projector_lr": null,
27
+ "mm_projector_type": "mlp2x_gelu",
28
+ "mm_resampler_type": null,
29
+ "mm_spatial_pool_mode": "bilinear",
30
+ "mm_spatial_pool_stride": null,
31
+ "mm_tunable_parts": "mm_mlp_adapter",
32
+ "mm_use_im_patch_token": false,
33
+ "mm_use_im_start_end": false,
34
+ "mm_vision_select_feature": "patch",
35
+ "mm_vision_select_layer": -2,
36
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
37
+ "mm_vision_tower_lr": null,
38
+ "model_type": "qwen2",
39
+ "num_attention_heads": 12,
40
+ "num_hidden_layers": 28,
41
+ "num_key_value_heads": 2,
42
+ "pos_skipping_range": 4096,
43
+ "rms_norm_eps": 1e-06,
44
+ "rope_scaling": null,
45
+ "rope_theta": 1000000.0,
46
+ "sliding_window": 32768,
47
+ "tie_word_embeddings": true,
48
+ "tokenizer_model_max_length": 8192,
49
+ "tokenizer_padding_side": "right",
50
+ "torch_dtype": "bfloat16",
51
+ "transformers_version": "4.51.3",
52
+ "use_cache": true,
53
+ "use_mm_proj": true,
54
+ "use_pos_skipping": false,
55
+ "use_sliding_window": false,
56
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224_mt5.pt",
57
+ "vocab_size": 151936
58
+ }
continuous/qwen25/mc2_m16_224_mt5/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2bcb11ca67ab82f37344b3b603e6c1099f13c4b98b791d74a2eaf4298c8b7799
3
+ size 12597304
continuous/qwen25/mc2_m16_224_mt5/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 2.5407330989837646,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 4.9861,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 2.388478994369507,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.7066,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.23131787776947021,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 3.3009,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.19612620770931244,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 3.2115,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.14647743105888367,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 3.1723,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.1307649314403534,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 3.122,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.17433635890483856,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 3.0736,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.19048425555229187,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 3.0331,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.19643640518188477,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.9892,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.1609342396259308,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.9628,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.22121073305606842,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.9307,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.2380785495042801,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.9183,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.24339230358600616,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.8844,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.16946633160114288,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.866,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.1883004754781723,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.8571,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.2265540510416031,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.8272,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.2263176590204239,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.8033,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.20723441243171692,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.7739,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.20400987565517426,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.753,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.19698961079120636,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.724,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.212701216340065,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.7125,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.24121539294719696,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.7173,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.20718953013420105,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.7081,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.19447745382785797,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.6926,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.1900073140859604,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.6872,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.17140918970108032,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.6935,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.19301597774028778,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.6727,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.20544083416461945,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.6745,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.17813275754451752,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.6609,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.1750490665435791,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.6585,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.2616715729236603,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.6658,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.22556813061237335,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.6623,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.16471098363399506,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.6481,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.2748624086380005,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.6505,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.1866309493780136,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.6489,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.2029782086610794,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.6532,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.16878151893615723,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.6434,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.1693291813135147,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.6537,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.2060406506061554,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.642,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.16578562557697296,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.6343,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.171912282705307,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.6368,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.17923152446746826,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.6358,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.1589379459619522,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.6325,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.17125694453716278,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.6429,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.15847378969192505,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.6343,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.16015057265758514,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.6302,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.1783066987991333,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.6195,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.1806861013174057,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.6241,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.17161089181900024,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.6316,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.1572864055633545,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.6405,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.17861419916152954,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.6279,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.1613374650478363,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.6241,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.14807172119617462,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.6293,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.15403467416763306,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.6231,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.789803883013079e+17,
394
+ "train_loss": 2.8152197706590005,
395
+ "train_runtime": 5321.336,
396
+ "train_samples_per_second": 104.885,
397
+ "train_steps_per_second": 0.102
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 2.789803883013079e+17,
418
+ "train_batch_size": 128,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen25/mc2_m16_384/finetune/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
continuous/qwen25/mc2_m16_384/finetune/config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwenForCausalLM"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 151643,
9
+ "eos_token_id": 151645,
10
+ "faster_token_stride": 10,
11
+ "force_sample": false,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 1536,
14
+ "image_aspect_ratio": "square",
15
+ "image_crop_resolution": null,
16
+ "image_grid_pinpoints": null,
17
+ "image_split_resolution": null,
18
+ "initializer_range": 0.02,
19
+ "intermediate_size": 8960,
20
+ "max_position_embeddings": 32768,
21
+ "max_window_layers": 21,
22
+ "mm_hidden_size": 512,
23
+ "mm_newline_position": "grid",
24
+ "mm_patch_merge_type": "flat",
25
+ "mm_projector_lr": 0.0001,
26
+ "mm_projector_type": "mlp2x_gelu",
27
+ "mm_resampler_type": null,
28
+ "mm_spatial_pool_mode": "bilinear",
29
+ "mm_spatial_pool_stride": null,
30
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
31
+ "mm_use_im_patch_token": false,
32
+ "mm_use_im_start_end": false,
33
+ "mm_vision_select_feature": "patch",
34
+ "mm_vision_select_layer": -2,
35
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
36
+ "mm_vision_tower_lr": null,
37
+ "model_type": "qwen2",
38
+ "num_attention_heads": 12,
39
+ "num_hidden_layers": 28,
40
+ "num_key_value_heads": 2,
41
+ "pos_skipping_range": 4096,
42
+ "rms_norm_eps": 1e-06,
43
+ "rope_scaling": null,
44
+ "rope_theta": 1000000.0,
45
+ "sliding_window": 32768,
46
+ "tie_word_embeddings": true,
47
+ "tokenizer_model_max_length": 8192,
48
+ "tokenizer_padding_side": "right",
49
+ "torch_dtype": "bfloat16",
50
+ "transformers_version": "4.51.3",
51
+ "use_cache": true,
52
+ "use_mm_proj": true,
53
+ "use_pos_skipping": false,
54
+ "use_sliding_window": false,
55
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_384.pt",
56
+ "vocab_size": 151936
57
+ }
continuous/qwen25/mc2_m16_384/finetune/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.1,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.51.3"
14
+ }
continuous/qwen25/mc2_m16_384/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen25/mc2_m16_384/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f3f3dbeec65a0133b96c57abc7b1d487f0ce74ada5ee85daef207927b9a99c4b
3
+ size 3644396136
continuous/qwen25/mc2_m16_384/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen25/mc2_m16_384/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
continuous/qwen25/mc2_m16_384/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,209 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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": 8192,
204
+ "pad_token": "<|endoftext|>",
205
+ "padding_side": "right",
206
+ "split_special_tokens": false,
207
+ "tokenizer_class": "Qwen2Tokenizer",
208
+ "unk_token": null
209
+ }
continuous/qwen25/mc2_m16_384/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 7.502678871154785,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.9098,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 2.763319969177246,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.519,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 1.8780262470245361,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.1006,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.3534908890724182,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9235,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.20123635232448578,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.899,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.16160890460014343,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.8555,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.12631648778915405,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8309,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.12579382956027985,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8384,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.12207123637199402,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8276,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.12030481547117233,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8032,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.11470679938793182,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.7906,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.12326677143573761,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.802,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.1096850037574768,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.7853,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.12255839258432388,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.7913,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.13147203624248505,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7834,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.11926069855690002,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.7827,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.11015338450670242,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.7808,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.12126290798187256,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8024,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.12068787962198257,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8068,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.1247032880783081,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.7845,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.11361949890851974,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.7913,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.11030127853155136,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7674,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.12313994765281677,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7743,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.12048649042844772,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7602,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.11456608027219772,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.778,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.12082139402627945,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.7819,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.10880251228809357,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7693,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.10744450241327286,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7718,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.1138581931591034,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.7874,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.10702113062143326,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.75,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.11405590921640396,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7628,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.11720357835292816,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7625,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.11461129784584045,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.763,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.11235353350639343,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.773,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.12045136839151382,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7785,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.11057382076978683,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7623,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.10918495059013367,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.7859,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.11445240676403046,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.76,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.1191505715250969,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7607,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.10534489154815674,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7636,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.1101505309343338,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7465,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.11563799530267715,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7622,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.11573365330696106,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7572,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.11263683438301086,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7559,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.11174523830413818,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7403,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.11205888539552689,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7569,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.11216938495635986,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7577,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.10909686237573624,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7513,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.10078215599060059,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7437,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.10402926057577133,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7532,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.12178223580121994,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7339,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.11464907228946686,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7724,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.119774729013443,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7428,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.12146639078855515,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7607,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.10846410691738129,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7671,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.10587923973798752,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7644,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.11945808678865433,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7759,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.11162535101175308,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7488,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.11383433640003204,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7672,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.11380232125520706,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7637,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.11867867410182953,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7752,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.11545798927545547,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7653,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.1185082197189331,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7702,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.10728500783443451,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.769,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.10467024892568588,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7268,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.1218658834695816,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7464,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.1160091683268547,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7674,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.10711445659399033,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7417,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.11315526813268661,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.752,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.1117711141705513,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7591,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.1101578027009964,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7453,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.10174145549535751,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7514,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.11300273984670639,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7565,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.11383278667926788,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7423,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.1038803979754448,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7432,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.10698353499174118,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7329,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.11284562200307846,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7505,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.11700551956892014,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7471,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.1159774586558342,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7365,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.11501676589250565,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7625,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.10963020473718643,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7477,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.10343271493911743,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7536,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.11455662548542023,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.739,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.1201857477426529,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7417,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.10914399474859238,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7461,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.10768371820449829,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7378,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.1089480072259903,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7369,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.1081153079867363,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7441,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.10838697850704193,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7346,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.10063482820987701,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7339,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.1139690950512886,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7307,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.10656514763832092,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7261,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.11891157925128937,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7219,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.12113171815872192,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7577,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.10975494235754013,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7664,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.11863745003938675,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7478,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.11509817838668823,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7273,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.10476287454366684,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7386,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.11558035761117935,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7189,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.10650355368852615,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7454,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.10894986242055893,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7649,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.11336119472980499,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7441,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.10470680892467499,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7544,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.10975487530231476,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7521,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.10767613351345062,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7418,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.10674374550580978,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7466,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.11246778070926666,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7272,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.10568033903837204,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7611,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.11874755471944809,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7383,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.11687806248664856,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7588,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.1129055842757225,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7538,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.11784109473228455,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7455,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.10899516195058823,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7333,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.10470816493034363,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7383,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.10665585845708847,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7358,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.12578950822353363,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7633,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.10707557201385498,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7699,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.09822295606136322,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7421,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.10965897142887115,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7238,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.11821416765451431,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7344,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.11401423066854477,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7374,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.11630196869373322,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7504,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.10775155574083328,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7561,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.10453297942876816,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7324,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.10358171910047531,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7299,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.11438196152448654,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7345,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.12303616851568222,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7186,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.10501397401094437,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7273,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.10975082963705063,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7466,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.10879012197256088,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7428,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.11213205009698868,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7547,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.12394260615110397,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7328,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.12340950965881348,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7332,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.11524638533592224,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7408,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.11275030672550201,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7346,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.12697428464889526,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.743,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.11002713441848755,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7471,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.1019381731748581,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7548,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.11847570538520813,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7288,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.11314871907234192,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7356,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.11008746922016144,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7517,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.11648157238960266,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7331,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.11342335492372513,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7478,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.10998478531837463,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7503,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.12068407982587814,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7288,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.1107109859585762,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7381,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.11038530617952347,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7322,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.11666359007358551,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7311,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.11379261314868927,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7385,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.11306154727935791,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7504,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.1089501902461052,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.74,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.11330631375312805,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7474,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.11857966333627701,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7435,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.1089237704873085,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7544,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.11136338859796524,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7457,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.11523008346557617,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7546,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.11708564311265945,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7462,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.11660383641719818,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7475,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.0990515872836113,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7456,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.10248612612485886,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7306,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.10241679847240448,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7109,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.11149538308382034,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7126,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.10890234261751175,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7516,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.09704490751028061,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7335,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.11142604053020477,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7459,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.1088608130812645,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7297,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.11804860830307007,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7519,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.11194264143705368,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7342,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.10983610153198242,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7246,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.10468059778213501,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7242,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.10993515700101852,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7425,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.1106952428817749,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7302,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.11061175167560577,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7316,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.10918284952640533,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7412,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.1102231964468956,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7374,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.10207434743642807,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7235,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.111183762550354,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7648,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.1155601441860199,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7474,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.10672982037067413,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7594,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.1049095094203949,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7228,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.11320099979639053,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7208,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.10218384861946106,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7421,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.10667248070240021,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7402,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.12129062414169312,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7384,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.11721149832010269,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7472,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.109659343957901,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7455,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.10070423036813736,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7398,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.10945705324411392,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7463,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.11820171773433685,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7319,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.11620453745126724,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7429,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.10518138855695724,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7412,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.10780428349971771,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7345,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.11247050762176514,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7457,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.11268564313650131,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7547,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.1105349212884903,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7407,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.1236489936709404,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7589,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.11024940758943558,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.755,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.11217351257801056,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7399,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.12133375555276871,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7405,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.10815633088350296,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7421,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.10940743237733841,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7414,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.10445626825094223,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7281,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.11116701364517212,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7133,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.11188463121652603,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7323,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.10531072318553925,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7382,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.1039716899394989,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.718,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.1172463446855545,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7314,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.10571017116308212,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7203,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.10255500674247742,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7427,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.1099574863910675,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7377,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.10934717953205109,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.749,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.11289958655834198,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7448,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.11194674670696259,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7302,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.10882336646318436,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.742,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.12826266884803772,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7263,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.10797886550426483,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7442,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.1093938872218132,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7461,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.10914472490549088,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.734,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.10774393379688263,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7452,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.1155761256814003,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7305,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.12554535269737244,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.716,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.10167080163955688,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7387,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.11908018589019775,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7334,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.10595957189798355,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7513,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.10767778009176254,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7346,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.11260323226451874,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7222,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.10652253031730652,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7241,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.10995321720838547,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7421,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.10731273144483566,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7436,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.1065845638513565,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7282,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.10125146806240082,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7292,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.10210753977298737,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7375,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.11130058765411377,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7472,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.1070486307144165,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7383,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.10964521765708923,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7239,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.10990218073129654,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.739,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.11391717940568924,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7288,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.10987786948680878,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7309,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.10975030064582825,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7522,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.11256835609674454,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7414,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.11043158918619156,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7275,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.10945302248001099,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.755,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.11428770422935486,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7469,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.11273124068975449,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7352,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.11690922826528549,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7335,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.11335375159978867,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7519,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.11252011358737946,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7393,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.10769885778427124,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7317,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.11015380918979645,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7347,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.10759741812944412,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7332,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.11376994103193283,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7284,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.10622478276491165,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7431,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.11014197766780853,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7316,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.1028149425983429,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7345,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.1015634685754776,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7442,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.09613681584596634,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.726,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.11620547622442245,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7295,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.10735750198364258,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.715,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.10855001956224442,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7451,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 2.6951376519959675e+18,
1829
+ "train_loss": 0.7579362606332078,
1830
+ "train_runtime": 10243.5332,
1831
+ "train_samples_per_second": 64.91,
1832
+ "train_steps_per_second": 0.254
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 2.6951376519959675e+18,
1853
+ "train_batch_size": 4,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen25/mc2_m16_384/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ebe80c882c611d9d684124757d8071444b0e549f4310987a62a094f50527529
3
+ size 6136
continuous/qwen25/mc2_m16_384/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff