lyunee commited on
Commit
fd9b6cd
·
verified ·
1 Parent(s): b1e489c

Upload continuous evaluation checkpoints, batch 20

Browse files
Files changed (43) hide show
  1. .gitattributes +3 -0
  2. continuous/qwen3/siglip2_b16_256/finetune/model.safetensors +3 -0
  3. continuous/qwen3/siglip2_b16_256/finetune/special_tokens_map.json +31 -0
  4. continuous/qwen3/siglip2_b16_256/finetune/tokenizer.json +3 -0
  5. continuous/qwen3/siglip2_b16_256/finetune/tokenizer_config.json +241 -0
  6. continuous/qwen3/siglip2_b16_256/finetune/trainer_state.json +1856 -0
  7. continuous/qwen3/siglip2_b16_256/finetune/training_args.bin +3 -0
  8. continuous/qwen3/siglip2_b16_256/finetune/vocab.json +0 -0
  9. continuous/qwen3/siglip2_b16_256/pretrain/config.json +60 -0
  10. continuous/qwen3/siglip2_b16_256/pretrain/mm_projector.bin +3 -0
  11. continuous/qwen3/siglip2_b16_256/pretrain/trainer_state.json +421 -0
  12. continuous/qwen3/siglip2_b16_384/finetune/added_tokens.json +28 -0
  13. continuous/qwen3/siglip2_b16_384/finetune/config.json +59 -0
  14. continuous/qwen3/siglip2_b16_384/finetune/generation_config.json +13 -0
  15. continuous/qwen3/siglip2_b16_384/finetune/merges.txt +0 -0
  16. continuous/qwen3/siglip2_b16_384/finetune/model.safetensors +3 -0
  17. continuous/qwen3/siglip2_b16_384/finetune/special_tokens_map.json +31 -0
  18. continuous/qwen3/siglip2_b16_384/finetune/tokenizer.json +3 -0
  19. continuous/qwen3/siglip2_b16_384/finetune/tokenizer_config.json +241 -0
  20. continuous/qwen3/siglip2_b16_384/finetune/trainer_state.json +1856 -0
  21. continuous/qwen3/siglip2_b16_384/finetune/training_args.bin +3 -0
  22. continuous/qwen3/siglip2_b16_384/finetune/vocab.json +0 -0
  23. continuous/qwen3/siglip2_b16_384/pretrain/config.json +60 -0
  24. continuous/qwen3/siglip2_b16_384/pretrain/mm_projector.bin +3 -0
  25. continuous/qwen3/siglip2_b16_384/pretrain/trainer_state.json +421 -0
  26. continuous/qwen3/siglip2_b16_512/finetune/added_tokens.json +28 -0
  27. continuous/qwen3/siglip2_b16_512/finetune/config.json +59 -0
  28. continuous/qwen3/siglip2_b16_512/finetune/generation_config.json +13 -0
  29. continuous/qwen3/siglip2_b16_512/finetune/merges.txt +0 -0
  30. continuous/qwen3/siglip2_b16_512/finetune/model.safetensors +3 -0
  31. continuous/qwen3/siglip2_b16_512/finetune/special_tokens_map.json +31 -0
  32. continuous/qwen3/siglip2_b16_512/finetune/tokenizer.json +3 -0
  33. continuous/qwen3/siglip2_b16_512/finetune/tokenizer_config.json +241 -0
  34. continuous/qwen3/siglip2_b16_512/finetune/trainer_state.json +1856 -0
  35. continuous/qwen3/siglip2_b16_512/finetune/training_args.bin +3 -0
  36. continuous/qwen3/siglip2_b16_512/finetune/vocab.json +0 -0
  37. continuous/qwen3/siglip2_b16_512/pretrain/config.json +60 -0
  38. continuous/qwen3/siglip2_b16_512/pretrain/mm_projector.bin +3 -0
  39. continuous/qwen3/siglip2_b16_512/pretrain/trainer_state.json +421 -0
  40. continuous/qwen3/siglip2_b32_256/finetune/added_tokens.json +28 -0
  41. continuous/qwen3/siglip2_b32_256/finetune/config.json +59 -0
  42. continuous/qwen3/siglip2_b32_256/finetune/generation_config.json +13 -0
  43. continuous/qwen3/siglip2_b32_256/finetune/merges.txt +0 -0
.gitattributes CHANGED
@@ -158,3 +158,6 @@ continuous/qwen3/pixio_vith16/finetune/tokenizer.json filter=lfs diff=lfs merge=
158
  continuous/qwen3/pixio_vitl16/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
159
  continuous/qwen3/raev2_dinov3l_k7/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
160
  continuous/qwen3/siglip2_b16_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
158
  continuous/qwen3/pixio_vitl16/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
159
  continuous/qwen3/raev2_dinov3l_k7/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
160
  continuous/qwen3/siglip2_b16_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
161
+ continuous/qwen3/siglip2_b16_256/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
162
+ continuous/qwen3/siglip2_b16_384/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
163
+ continuous/qwen3/siglip2_b16_512/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
continuous/qwen3/siglip2_b16_256/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc81addc5741e53434816a7791826d43fcbc440eaedaff0fbfe6ee38bcd335b0
3
+ size 4272483456
continuous/qwen3/siglip2_b16_256/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/qwen3/siglip2_b16_256/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/siglip2_b16_256/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/siglip2_b16_256/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": 22.325674057006836,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.5709,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 7.213373184204102,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.9029,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 4.463220596313477,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.4756,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 1.2861229181289673,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.1357,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.7633169889450073,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0227,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.40343567728996277,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.9316,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.31116607785224915,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8872,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.3002501428127289,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8838,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.3025326728820801,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8532,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.2748545706272125,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8305,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.27491244673728943,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8166,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.2842361032962799,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8268,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.2531988024711609,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8197,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.3036770224571228,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8165,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.3014599084854126,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.7983,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.2614928185939789,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.807,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.2369014471769333,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8091,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.27050548791885376,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8331,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.2760695219039917,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.825,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.27851760387420654,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8126,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.26555657386779785,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8121,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.2724052369594574,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7928,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.24958202242851257,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7954,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.25107431411743164,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.79,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.2952631711959839,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8082,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.246932253241539,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8013,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.24760781228542328,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7903,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.25343242287635803,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7899,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.2506624162197113,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8082,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.2377500981092453,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7711,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.23943974077701569,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7808,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.2553127110004425,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7859,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.2602199912071228,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7835,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.2433108389377594,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7937,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.2605005204677582,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7972,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.25796180963516235,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7824,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.25043147802352905,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8108,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.2662828266620636,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7704,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.24600274860858917,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7735,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.2365168035030365,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7729,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.24804677069187164,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7625,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.25442326068878174,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7853,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.24929139018058777,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7775,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.2469961941242218,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7705,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.2623428404331207,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7605,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.2498980611562729,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7679,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.2503974139690399,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7718,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.252631276845932,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7699,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.23665153980255127,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7601,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.2414950430393219,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7675,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.24909065663814545,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7586,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.25251463055610657,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7894,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.2575061023235321,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7617,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.26502957940101624,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7732,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.23806829750537872,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7807,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.2305864691734314,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7791,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.26431789994239807,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7835,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.2578928470611572,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7678,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.2555224895477295,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7753,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.23025396466255188,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7688,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.2668067216873169,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.788,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.24164004623889923,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7744,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.2558857798576355,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7887,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.2417294830083847,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7847,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.23556189239025116,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7384,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.25628191232681274,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.769,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.25769975781440735,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.781,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.2402503490447998,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7465,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.23845496773719788,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7705,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.25551125407218933,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7778,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.2853063941001892,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7606,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.22575555741786957,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7662,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.2497359961271286,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7671,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.23865318298339844,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7544,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.2358783483505249,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.756,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.23552630841732025,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7482,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.23091401159763336,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7681,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.23197367787361145,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7647,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.2511676251888275,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7469,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.2389538288116455,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7733,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.24781665205955505,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7627,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.23915305733680725,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7576,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.24319690465927124,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7453,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.24663855135440826,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7511,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.24370235204696655,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7656,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.23307128250598907,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7447,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.25284966826438904,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7559,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.23169557750225067,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7503,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.23001490533351898,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7535,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.21794059872627258,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7542,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.24670086801052094,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.743,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.24960315227508545,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7456,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.2622990310192108,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7313,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.2569071352481842,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.766,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.24257022142410278,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7841,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.25453999638557434,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.766,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.2482769936323166,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7423,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.24652163684368134,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7533,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.25084182620048523,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7312,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.24931836128234863,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7548,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.23999910056591034,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7783,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.2649567723274231,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7652,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.24615578353405,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7637,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.24031710624694824,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7532,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.2218167930841446,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7498,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.2315954715013504,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7546,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.24924255907535553,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7451,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.22406519949436188,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7721,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.2745705842971802,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7531,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.25875258445739746,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7672,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.24413785338401794,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7614,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.2499418556690216,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7587,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.24239076673984528,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7363,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.2443019300699234,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7615,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.22823528945446014,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7476,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.27869200706481934,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7734,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.2379787266254425,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7817,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.22936110198497772,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7591,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.25864309072494507,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7344,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.25833386182785034,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7497,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.24733944237232208,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7534,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.24075521528720856,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7687,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.24509303271770477,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.771,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.23488254845142365,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7417,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.2336212545633316,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7368,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.25603893399238586,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.749,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.26326969265937805,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7312,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.25515881180763245,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7404,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.24312014877796173,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7507,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.2301429659128189,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7514,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.2335745096206665,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7683,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.25138232111930847,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7323,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.25443217158317566,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7405,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.246122807264328,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7527,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.23790699243545532,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7476,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.26790881156921387,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7583,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.24705077707767487,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7571,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.2280808836221695,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.766,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.259689599275589,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7448,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.23548489809036255,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.746,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.24700024724006653,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.761,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.25937360525131226,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7414,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.27232789993286133,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7581,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.26728764176368713,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7645,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.2662217319011688,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7464,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.24922913312911987,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7507,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.23917795717716217,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7446,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.2477523535490036,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7436,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.22891761362552643,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7478,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.23203203082084656,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7599,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.23997482657432556,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7511,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.24647574126720428,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7593,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.23370209336280823,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7593,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.24609887599945068,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7664,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.23501643538475037,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7501,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.23786117136478424,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7647,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.24694815278053284,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7625,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.24815331399440765,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7532,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.2139756679534912,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7544,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.2364327609539032,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7447,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.2212245613336563,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7253,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.25001060962677,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7249,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.2347634732723236,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7557,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.22897182404994965,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.744,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.24808236956596375,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7547,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.23447702825069427,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7361,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.25827962160110474,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7611,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.24561026692390442,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7514,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.2679162621498108,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7437,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.21846570074558258,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7392,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.251023530960083,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7578,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.25164997577667236,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7468,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.2406506985425949,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7476,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.22837968170642853,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7492,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.2502683401107788,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7472,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.24016062915325165,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7322,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.2580972909927368,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.778,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.2363647073507309,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.763,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.23583751916885376,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7738,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.2377644032239914,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7376,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.24563556909561157,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7269,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.23247992992401123,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7517,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.2280578911304474,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7423,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.2529107928276062,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7466,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.2564008831977844,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7616,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.2368805855512619,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7524,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.24253065884113312,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7485,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.235978901386261,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7569,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.2412380874156952,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7405,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.24244432151317596,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7471,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.23394449055194855,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7444,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.24016313254833221,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.74,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.2479017972946167,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7542,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.2528059482574463,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7661,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.2536682188510895,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7539,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.25885456800460815,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7697,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.24149109423160553,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7591,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.25305378437042236,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7563,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.2607440650463104,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7533,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.2451711893081665,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7437,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.24272949993610382,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7522,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.2323727309703827,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7372,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.2400728464126587,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7229,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.2413865625858307,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7413,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.23356689512729645,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.746,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.22719332575798035,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7278,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.25770336389541626,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.75,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.23734548687934875,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.732,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.23477159440517426,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7557,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.23390445113182068,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7425,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.23517288267612457,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7557,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.2359190434217453,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7576,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.24864567816257477,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7431,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.2409396469593048,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7456,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.2533905804157257,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7384,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.233335480093956,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7563,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.23066791892051697,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7532,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.2475164532661438,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7473,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.2331661880016327,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7514,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.25298836827278137,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7486,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.24443817138671875,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7197,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.22996845841407776,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7541,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.2585048973560333,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7473,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.23258310556411743,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7614,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.2355554699897766,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7414,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.2346854954957962,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7306,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.2368471324443817,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7388,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.23310524225234985,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7553,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.2304801493883133,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7531,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.22125546634197235,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7329,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.22737379372119904,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7429,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.23537009954452515,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7478,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.23352354764938354,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7556,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.2456805258989334,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7472,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.23326189815998077,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7324,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.232341006398201,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7427,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.2706652581691742,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7346,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.24787262082099915,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7443,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.2356908917427063,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7596,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.25575998425483704,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.758,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.23197045922279358,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7381,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.2328777313232422,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.761,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.24114975333213806,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7603,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.2477579414844513,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7459,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.24621963500976562,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7419,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.2435765415430069,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7659,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.2520509958267212,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7588,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.2387991100549698,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7409,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.28989431262016296,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7443,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.23961113393306732,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7415,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.24300412833690643,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7352,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.2423572540283203,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7597,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.23211543262004852,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7401,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.22840356826782227,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7455,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.22685998678207397,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7524,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.2342378944158554,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7424,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.22931507229804993,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7336,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.21343012154102325,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7253,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.25895360112190247,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.76,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.790083715577676e+18,
1829
+ "train_loss": 0.7778543212297195,
1830
+ "train_runtime": 10716.5332,
1831
+ "train_samples_per_second": 62.045,
1832
+ "train_steps_per_second": 0.242
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": 3.790083715577676e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/siglip2_b16_256/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4de36105a18eef8c120cad795f18a3ebcea6b8d9569cab63a6c950e5aea595a9
3
+ size 6136
continuous/qwen3/siglip2_b16_256/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/siglip2_b16_256/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2-256",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_256.npz",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/siglip2_b16_256/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e0791f3d6369c3afe2a82ab9602075a623e53f248f90802c00aa9c5dd1c4e8b
3
+ size 23087160
continuous/qwen3/siglip2_b16_256/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": 2.721109628677368,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 8.9559,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 1.5921517610549927,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 5.8334,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.2769966423511505,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 4.9896,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.1680532693862915,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.744,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.08486717939376831,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.669,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.1885014921426773,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.6284,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.12540222704410553,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.5792,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.22761504352092743,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.5406,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.19424667954444885,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.4785,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.1409413069486618,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.4374,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.14655888080596924,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.3894,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.17104056477546692,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.3605,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.19066673517227173,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.3153,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.1378832757472992,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.2837,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.13631513714790344,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.2679,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.17127200961112976,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.2418,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.161219984292984,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.2203,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.15030692517757416,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.1988,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.14987820386886597,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.184,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.14878025650978088,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.159,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.1445760875940323,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.1442,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.13726311922073364,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.148,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.15636248886585236,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.1365,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.160902738571167,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.1121,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.13684585690498352,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.075,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.1399865597486496,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.0582,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.16995331645011902,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.0166,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.1377951055765152,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 3.9939,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.1499321013689041,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 3.9703,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.13068914413452148,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 3.9585,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.15706101059913635,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 3.9617,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.13138192892074585,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 3.9488,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.1253395825624466,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 3.9303,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.13742254674434662,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 3.927,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.1622939109802246,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 3.9247,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.13805417716503143,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 3.9304,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.13340365886688232,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 3.9153,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.12405907362699509,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 3.9219,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.1659265011548996,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 3.9083,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.12012692540884018,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 3.906,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.11597146093845367,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 3.9113,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.11750850826501846,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 3.9007,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.11618483066558838,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 3.9011,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.12796686589717865,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 3.9048,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.12116481363773346,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 3.896,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.12572164833545685,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 3.8916,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.109195277094841,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 3.8809,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.11103541404008865,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 3.8882,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.1111704409122467,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 3.8893,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.11290071904659271,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 3.9017,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.11050901561975479,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 3.8916,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.11096054315567017,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 3.8858,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.11817970871925354,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 3.8873,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.10840678960084915,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 3.8857,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.9989926542403174e+17,
394
+ "train_loss": 4.235761827941334,
395
+ "train_runtime": 5604.2562,
396
+ "train_samples_per_second": 99.59,
397
+ "train_steps_per_second": 0.097
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": 2.9989926542403174e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/siglip2_b16_384/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/siglip2_b16_384/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
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
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 768,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2-384",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_384.npz",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/siglip2_b16_384/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/siglip2_b16_384/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/siglip2_b16_384/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5af9c613600baaa72c3e98eb11d772e4428b051295a37ebfc52d68a2dc850a53
3
+ size 4272974976
continuous/qwen3/siglip2_b16_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/qwen3/siglip2_b16_384/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/siglip2_b16_384/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/siglip2_b16_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": 8.766497611999512,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.3635,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 3.5412678718566895,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.8914,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 2.2382333278656006,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.5001,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.5654305219650269,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.1737,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.45051735639572144,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0744,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.23187026381492615,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.998,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.21478913724422455,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.9587,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.17817778885364532,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.9568,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.1880064755678177,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.9319,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.14910034835338593,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.9063,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.15911972522735596,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.882,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.14373700320720673,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8907,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.13795314729213715,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8822,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.1580537110567093,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8768,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.1693747192621231,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8725,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.15090207755565643,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8669,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.13166089355945587,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8637,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.141921728849411,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.889,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.14378538727760315,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8869,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.1504865288734436,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8663,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.14597228169441223,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8709,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.13478966057300568,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.8506,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.15765756368637085,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8569,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.14720825850963593,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8432,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.14703981578350067,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8591,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.1337234079837799,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.863,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.13792596757411957,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.8481,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.13864684104919434,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8522,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.13226495683193207,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8626,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.13212192058563232,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.8233,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.13428285717964172,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.8417,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.13644687831401825,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.8364,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.1308417022228241,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.8385,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.12911461293697357,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8481,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.14492258429527283,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8526,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.13201360404491425,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.8363,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.12838678061962128,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8614,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.12707985937595367,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.8302,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.14670954644680023,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.836,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.12708036601543427,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.8367,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.1328769475221634,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.8177,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.12348297238349915,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.8336,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.13996286690235138,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.8262,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.14812089502811432,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.8263,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.13950709998607635,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.8086,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.1315620094537735,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.8261,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.14662739634513855,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.8302,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.12621991336345673,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.8241,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.128559872508049,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.8145,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.1283157616853714,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.8163,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.12837550044059753,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.8022,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.12746953964233398,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.8439,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.14754927158355713,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.8099,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.14269253611564636,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.8295,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.12189345061779022,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.8335,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.1346394121646881,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8333,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.14390435814857483,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8435,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.14086800813674927,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.8173,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.13980339467525482,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.8359,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.1363815814256668,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.8313,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.14619599282741547,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8416,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.13487179577350616,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.8321,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.1425708383321762,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.8376,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.13107232749462128,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.8311,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.11684010922908783,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7863,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.1385643035173416,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.8167,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.1397099792957306,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.8299,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.12696576118469238,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.806,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.13636654615402222,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.8191,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.133625328540802,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.8256,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.12326812744140625,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.8091,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.11497246474027634,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.8116,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.1337440311908722,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.8233,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.12975099682807922,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.8041,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.12711885571479797,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.8035,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.12767837941646576,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7963,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.13174980878829956,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.8147,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.12714515626430511,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.8071,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.13654649257659912,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7963,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.13397666811943054,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.8232,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.12752170860767365,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.81,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.12455415725708008,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.8109,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.13197685778141022,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7992,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.13197512924671173,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.8035,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.12046568095684052,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.8041,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.13653253018856049,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7971,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.12424702942371368,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7957,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.1214323490858078,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.8019,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.1336003839969635,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7917,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.12333294004201889,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7968,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.12750890851020813,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7978,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.12951450049877167,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7842,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.1328691840171814,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7784,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.14351153373718262,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.8151,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.12357240170240402,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.8256,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.13752807676792145,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.8033,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.12861678004264832,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.784,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.12197241187095642,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7927,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.1376270353794098,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7818,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.12344305962324142,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.8033,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.13406606018543243,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.8226,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.13279324769973755,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.8003,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.12185411900281906,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.8107,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.12284626066684723,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.8092,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.11529895663261414,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.8,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.12976831197738647,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.8051,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.12935490906238556,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7873,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.12145864963531494,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.8198,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.14266541600227356,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7942,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.1417100876569748,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.8156,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.13155800104141235,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.808,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.14628025889396667,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.8029,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.13024255633354187,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7913,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.12493369728326797,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7952,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.11819007247686386,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7924,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.14608392119407654,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8179,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.1280871331691742,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.8257,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.11578552424907684,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7979,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.13489389419555664,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7802,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.1409725397825241,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.787,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.13081054389476776,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7921,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.12804190814495087,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.807,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.12162957340478897,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.8085,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.12125927209854126,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7867,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.12121114134788513,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7856,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.13419754803180695,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7845,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.13723702728748322,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7759,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.13546262681484222,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7819,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.12390671670436859,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.802,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.1310867965221405,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7944,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.13104113936424255,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.8087,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.14247038960456848,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.786,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.1437874436378479,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7886,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.1297159641981125,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7935,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.13293516635894775,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7829,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.1418856829404831,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.797,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.13245783746242523,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.8042,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.12522763013839722,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.8067,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.13302098214626312,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7831,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.13454365730285645,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7877,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.13028255105018616,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.8041,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.1396162062883377,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7899,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.14332391321659088,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7995,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.1327078938484192,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.8022,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.15169571340084076,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.786,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.12621429562568665,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7895,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.12834370136260986,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7867,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.13247255980968475,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7844,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.12964721024036407,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7904,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.1336209923028946,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7976,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.12601768970489502,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7872,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.1414192020893097,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7965,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.1424041986465454,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7956,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.12750843167304993,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.8023,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.1325743943452835,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7942,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.13646931946277618,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.8095,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.14857622981071472,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7948,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.13300994038581848,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7955,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.11440332233905792,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7925,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.13022857904434204,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7747,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.11803010106086731,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.758,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.1322411745786667,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7598,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.1314224898815155,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.796,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.12177182734012604,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7776,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.13313783705234528,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7872,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.12848614156246185,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.772,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.14232799410820007,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7946,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.1331789344549179,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7799,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.1478201150894165,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7682,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.12576358020305634,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7638,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.14458449184894562,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7841,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.13322606682777405,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7726,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.1312054693698883,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7764,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.13448017835617065,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7805,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.14357765018939972,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7737,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.12139645218849182,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7598,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.13442173600196838,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.8,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.13472336530685425,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7841,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.1275395303964615,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7947,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.12656980752944946,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7585,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.13257886469364166,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.754,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.13240672647953033,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.778,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.13615965843200684,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7738,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.13906416296958923,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7708,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.13431890308856964,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7792,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.13306790590286255,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7759,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.1340589076280594,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7718,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.1316177099943161,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7762,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.1352645605802536,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.763,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.14604684710502625,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7706,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.12245982885360718,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7708,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.1327592432498932,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7613,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.13801155984401703,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.777,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.1381285935640335,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7864,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.13735860586166382,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7724,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.13972720503807068,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7874,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.13210701942443848,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7825,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.13289861381053925,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.767,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.15297633409500122,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7694,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.12530075013637543,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7692,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.13045215606689453,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7668,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.1241084560751915,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7537,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.14476215839385986,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7415,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.14146389067173004,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.759,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.1294189840555191,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7655,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.12481428682804108,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7468,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.15507394075393677,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7604,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.12914659082889557,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7438,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.13849639892578125,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7681,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.1325039267539978,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7617,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.13061149418354034,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7747,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.1270773708820343,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7734,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.135097935795784,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7574,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.13246892392635345,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7687,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.1462913453578949,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7527,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.12965112924575806,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7698,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.12776213884353638,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7716,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.13238199055194855,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7588,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.1374627649784088,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7712,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.13433188199996948,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7542,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.15401048958301544,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7417,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.12312530726194382,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7662,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.13862770795822144,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7566,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.15337175130844116,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7756,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.13048219680786133,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7577,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.13689687848091125,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7443,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.12887127697467804,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7496,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.1253286898136139,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7689,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.1271909475326538,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7693,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.12707136571407318,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7505,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.12200672179460526,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7516,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.12649349868297577,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7629,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.13831807672977448,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7724,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.13010922074317932,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7626,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.13116800785064697,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7469,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.13224147260189056,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7631,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.13986088335514069,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.75,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.13571591675281525,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7541,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.12901267409324646,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7737,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.13913895189762115,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7638,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.13496410846710205,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7502,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.12399962544441223,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7767,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.13872510194778442,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7713,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.1366955041885376,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7588,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.14490367472171783,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7565,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.13854725658893585,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7794,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.12847663462162018,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7627,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.1330828070640564,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7574,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.15487876534461975,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7562,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.13544140756130219,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7547,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.13401614129543304,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.749,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.12438911944627762,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7667,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.1336650252342224,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7521,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.1265072375535965,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7601,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.1250174641609192,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7712,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.12185568362474442,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7459,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.13871993124485016,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7513,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.11649906635284424,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.738,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.13538645207881927,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7675,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.006224099803398e+18,
1829
+ "train_loss": 0.8141947954858685,
1830
+ "train_runtime": 13148.6704,
1831
+ "train_samples_per_second": 50.568,
1832
+ "train_steps_per_second": 0.198
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": 3.006224099803398e+18,
1853
+ "train_batch_size": 4,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/siglip2_b16_384/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:01052b74941f1215adcefdb57f59292610efaf7f0bdfff724a4f157485b2bf7b
3
+ size 6136
continuous/qwen3/siglip2_b16_384/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/siglip2_b16_384/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2-384",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_384.npz",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/siglip2_b16_384/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5bea8fc614c1c4be1514b7e24602e83e1ee067760798094704e12c17cf73c4b
3
+ size 23087160
continuous/qwen3/siglip2_b16_384/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": 7.937506198883057,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 9.8801,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.5462223291397095,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 6.6988,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.16430865228176117,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 5.204,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.07302440702915192,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.865,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.057309020310640335,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.7778,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.057270992547273636,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.7311,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.046323101967573166,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.687,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.11732953041791916,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.6629,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.059729598462581635,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.636,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.061038386076688766,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.614,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.04457351565361023,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.5819,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.2802472412586212,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.7207,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.0507575124502182,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.7294,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.03221786022186279,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.6757,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.026578817516565323,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.6406,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.03594611585140228,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.6058,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.032315049320459366,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.5788,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.028260285034775734,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.5532,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.050708819180727005,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.5355,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.06472963839769363,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.5045,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.04333483427762985,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.4843,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.06802373379468918,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.4839,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.05086958408355713,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.4699,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.07149030268192291,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.4462,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.05015827342867851,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.4188,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.06855820119380951,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.4248,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.07231036573648453,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.3968,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.10077620297670364,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 4.3864,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.072623610496521,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 4.3643,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.06913881748914719,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 4.3578,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.08433078229427338,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 4.3701,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.08106635510921478,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 4.3555,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.06498753279447556,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 4.3343,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.09153219312429428,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 4.3289,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.07757469266653061,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 4.3328,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.09789122641086578,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 4.335,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.06394346803426743,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 4.314,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.05672640725970268,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 4.3279,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.08429772406816483,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 4.3093,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.05885216221213341,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 4.307,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.08801107853651047,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 4.3086,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08172725886106491,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 4.2973,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.07597345113754272,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 4.3019,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.055691882967948914,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 4.3073,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.06062958389520645,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 4.2992,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.08405902981758118,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 4.2872,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.06126786768436432,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 4.2771,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.05466851219534874,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 4.2864,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.0674469992518425,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 4.2866,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.05509917810559273,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 4.2976,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.05351133272051811,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 4.2894,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.052223607897758484,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 4.2781,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.051613256335258484,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 4.28,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.05437001213431358,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 4.2881,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.886683259138212e+17,
394
+ "train_loss": 4.5994734422876205,
395
+ "train_runtime": 5678.3345,
396
+ "train_samples_per_second": 98.291,
397
+ "train_steps_per_second": 0.096
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": 2.886683259138212e+17,
418
+ "train_batch_size": 32,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/siglip2_b16_512/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/siglip2_b16_512/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
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
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 768,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2-512",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_512.npz",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/siglip2_b16_512/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/siglip2_b16_512/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/siglip2_b16_512/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6af32f9ff82758d4ae5ecb0cb67aeed8884ab390689bb8a08a0400f44b937b63
3
+ size 4273663104
continuous/qwen3/siglip2_b16_512/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/qwen3/siglip2_b16_512/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/siglip2_b16_512/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/siglip2_b16_512/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": 8.622236251831055,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.428,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 3.1859030723571777,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.8624,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 2.209315299987793,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.4547,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.4961771070957184,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.1304,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.46895837783813477,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0335,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.23742976784706116,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.9613,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.1932237446308136,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.9254,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.18635663390159607,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.9238,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.1798827052116394,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.9007,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.16016654670238495,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8743,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.16860796511173248,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8515,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.17346420884132385,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8606,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.15689192712306976,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8537,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.1647583246231079,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8497,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.20574039220809937,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8449,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.16465535759925842,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8403,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.1415177583694458,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8371,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.1504281908273697,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8605,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.15662989020347595,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.859,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.1707412451505661,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8392,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.16052328050136566,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8426,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.1564960479736328,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.8196,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.17771422863006592,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8251,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.16415968537330627,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8109,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.1658322662115097,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8258,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.14971713721752167,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.827,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.15636467933654785,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.8094,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.14377453923225403,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8093,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.16836746037006378,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8184,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.1562587320804596,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7787,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.1542181521654129,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7917,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.14966075122356415,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7891,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.1463336944580078,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7879,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.17203378677368164,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7932,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.1663551777601242,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.7989,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.14329446852207184,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7804,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.16097277402877808,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8057,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.14663422107696533,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7739,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.174505814909935,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7729,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.14290952682495117,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7738,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.15559697151184082,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7526,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.14947549998760223,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.775,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.14483171701431274,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.768,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.15229803323745728,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.761,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.14886213839054108,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7495,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.1468350887298584,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.765,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.15536293387413025,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7661,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.14100207388401031,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.759,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.1426180899143219,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.753,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.13405033946037292,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7584,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.14811696112155914,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7403,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.1378982812166214,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7802,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.15027783811092377,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7496,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.15850962698459625,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7668,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.1301824003458023,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7765,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.1381032019853592,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7694,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.15555031597614288,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.7758,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.1407177448272705,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7542,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.14297400414943695,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7693,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.1447652131319046,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7658,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.15408623218536377,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7779,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.1409589797258377,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7698,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.1448596566915512,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7737,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.1325070858001709,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7752,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.1298934817314148,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7288,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.14275096356868744,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7442,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.14202426373958588,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7712,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.14132381975650787,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7415,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.13455110788345337,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7538,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.15685854852199554,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7626,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.13809734582901,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7475,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.12390965223312378,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7565,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.15313175320625305,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7579,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.14157141745090485,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7427,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.13048799335956573,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7452,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.1443755179643631,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7341,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.13631878793239594,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7542,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.1399456262588501,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7498,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.14947646856307983,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7341,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.13226565718650818,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7584,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.13962426781654358,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7438,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.13481883704662323,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7503,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.13373404741287231,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7389,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.1385193169116974,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7405,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.13182389736175537,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7463,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.1370089203119278,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7357,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.13157522678375244,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7337,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.12768374383449554,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7405,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.13735149800777435,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7359,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.1276766061782837,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7297,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.14314362406730652,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7301,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.13401663303375244,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7254,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.14241771399974823,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7186,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.14183223247528076,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7563,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.1333906203508377,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7697,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.13790810108184814,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7456,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.13812369108200073,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7219,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.13122016191482544,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7389,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.13433431088924408,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7118,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.13221457600593567,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7452,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.14273682236671448,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.766,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.14686277508735657,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7379,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.13202159106731415,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7504,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.13106420636177063,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7463,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.12878736853599548,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7345,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.13919547200202942,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7383,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.13864408433437347,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7222,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.1281714141368866,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7586,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.1515379548072815,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7325,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.1574833244085312,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7497,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.1405971348285675,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.746,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.14868763089179993,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7381,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.15038363635540009,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7267,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.13452117145061493,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7337,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.1237647533416748,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7276,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.15508653223514557,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7589,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.13297973573207855,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7614,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.12665362656116486,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7377,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.13431183993816376,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7148,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.13781076669692993,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7282,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.14039716124534607,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7312,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.13665497303009033,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7454,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.12994715571403503,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7493,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.13454414904117584,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7278,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.12686799466609955,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7204,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.14200155436992645,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7291,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.15462824702262878,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7147,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.13694660365581512,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7201,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.1311800479888916,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7423,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.13011717796325684,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7345,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.13660869002342224,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.751,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.1572946012020111,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7227,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.15328024327754974,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7234,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.1376146376132965,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.736,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.13349701464176178,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7289,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.15923210978507996,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7332,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.1336156725883484,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7392,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.12731797993183136,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7482,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.1390356719493866,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7195,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.1362055242061615,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7289,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.14385046064853668,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.746,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.14400991797447205,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.725,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.144009530544281,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7381,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.14204004406929016,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7434,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.1603064239025116,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7237,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.13523414731025696,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7316,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.13192573189735413,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7247,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.14024165272712708,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7238,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.13460655510425568,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7303,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.138048455119133,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7438,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.12785521149635315,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7317,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.14673423767089844,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7376,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.1396411657333374,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7357,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.13158120214939117,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.748,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.13879969716072083,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.737,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.1309322565793991,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7458,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.13760609924793243,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7373,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.13804788887500763,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7409,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.12891414761543274,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7361,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.12878064811229706,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7233,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.1220131665468216,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7029,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.13417959213256836,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7041,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.12697157263755798,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7436,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.12070801854133606,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7246,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.13119657337665558,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7345,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.12942147254943848,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7223,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.13989965617656708,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7474,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.13832007348537445,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7259,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.14065223932266235,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7159,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.1265052855014801,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7147,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.13621960580348969,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7369,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.13467611372470856,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7255,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.13247975707054138,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7223,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.12668092548847198,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7342,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.1439962089061737,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7285,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.12523972988128662,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7121,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.14067202806472778,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7568,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.13962984085083008,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.74,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.12590590119361877,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.75,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.1284220814704895,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7146,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.1321951299905777,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7097,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.12627799808979034,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7336,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.1328195482492447,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7318,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.1458960771560669,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7277,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.13988646864891052,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7407,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.13224364817142487,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7359,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.13688234984874725,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7316,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.14131563901901245,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7377,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.13018988072872162,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7235,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.13743458688259125,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7313,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.12978999316692352,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7315,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.13028721511363983,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7236,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.14371678233146667,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7349,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.14044028520584106,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7482,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.1342523843050003,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7361,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.15175294876098633,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.75,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.13524343073368073,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7475,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.13587792217731476,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7287,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.1510016918182373,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.733,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.13323615491390228,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.733,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.12802083790302277,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7321,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.1393044888973236,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7171,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.13912713527679443,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7026,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.13468778133392334,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7215,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.13181230425834656,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7302,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.12593436241149902,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7097,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.15344317257404327,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7204,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.13290542364120483,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.709,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.1279771625995636,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7332,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.1265469342470169,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.727,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.13107852637767792,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7422,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.13456086814403534,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7386,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.128574401140213,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7213,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.13160739839076996,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7328,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.14782220125198364,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7173,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.12510836124420166,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7349,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.1314447820186615,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.736,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.13038775324821472,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7261,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.132584810256958,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7346,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.137792706489563,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7215,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.14896586537361145,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7076,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.12186845391988754,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7305,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.1443181335926056,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7234,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.1287497729063034,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7437,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.13642992079257965,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7229,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.13144196569919586,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7112,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.13032953441143036,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7121,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.12505872547626495,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7363,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.12613271176815033,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7325,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.1264238953590393,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7171,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.1271478682756424,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7181,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.12122893333435059,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7267,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.13166344165802002,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7385,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.1329558938741684,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7271,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.12903714179992676,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7152,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.13369542360305786,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7284,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.14874416589736938,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7157,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.12981586158275604,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7207,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.1280152052640915,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.743,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.13265089690685272,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7326,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.12792818248271942,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7176,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.12365072220563889,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7442,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.131765678524971,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7394,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.13961195945739746,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.724,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.14082501828670502,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.721,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.14291928708553314,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7458,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.13205114006996155,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7304,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.134423166513443,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7242,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.15191437304019928,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7228,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.13321591913700104,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7234,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.13030226528644562,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7161,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.12440726161003113,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7342,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.12983384728431702,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7198,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.12559209764003754,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7261,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.12556055188179016,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7372,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.12110678851604462,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7145,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.13926371932029724,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7197,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.11838061362504959,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7033,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.13590435683727264,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7376,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.00690982998691e+18,
1829
+ "train_loss": 0.7656716769779927,
1830
+ "train_runtime": 17590.6193,
1831
+ "train_samples_per_second": 37.799,
1832
+ "train_steps_per_second": 0.148
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": 3.00690982998691e+18,
1853
+ "train_batch_size": 4,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/siglip2_b16_512/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f394ce0c335e841f66e5c855277c4cf3f11f99a09e82ae1692d1c2955fab1cc6
3
+ size 6136
continuous/qwen3/siglip2_b16_512/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/siglip2_b16_512/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 768,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-B-16-SigLIP2-512",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b16_512.npz",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/siglip2_b16_512/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0384c29dd76f9361bef3adb1f0b8be6220ea87af339932b379e8fa998eedc04e
3
+ size 23087160
continuous/qwen3/siglip2_b16_512/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": 0.550396203994751,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 9.5782,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.14447778463363647,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 5.7211,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.034872252494096756,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 4.9456,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.017210006713867188,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.7938,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.012165281921625137,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.7308,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.012809027917683125,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.7017,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.010852714069187641,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.6655,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.012630184181034565,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.6488,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.011250040493905544,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.6236,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.01512724906206131,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.6094,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.02023635245859623,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.5865,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.031447410583496094,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.5716,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.04946161061525345,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.5411,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.048852141946554184,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.5202,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.05042686313390732,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.506,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.03212501108646393,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.4787,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.036054350435733795,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.4543,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.03531884774565697,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.4283,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.034238602966070175,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.4111,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.03152380883693695,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.3798,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.03489081561565399,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.3592,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.034809697419404984,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.3566,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.036431197077035904,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.3392,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.03266889229416847,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.313,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.03521248325705528,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.2834,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.040851376950740814,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.2869,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.03484119102358818,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.2578,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.024944687262177467,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 4.2447,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.032014552503824234,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 4.2225,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.03163444995880127,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 4.2157,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.04171528294682503,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 4.2241,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.027618147432804108,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 4.2105,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.026053696870803833,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 4.1868,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.032688312232494354,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 4.1866,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.02713450789451599,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 4.1861,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.029250716790556908,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 4.1907,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.02836327813565731,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 4.1703,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.0288862194865942,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 4.1819,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.0262719988822937,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 4.1622,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.02566775120794773,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 4.1625,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.02320670895278454,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 4.1597,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.026464169844985008,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 4.15,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.025871647521853447,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 4.157,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.026653289794921875,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 4.1604,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.021817583590745926,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 4.1499,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.023918623104691505,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 4.1408,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.02682694047689438,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 4.1313,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.024093734100461006,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 4.1408,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.020671311765909195,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 4.1389,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.021499987691640854,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 4.1537,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.021211478859186172,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 4.1401,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.020458856597542763,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 4.1324,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.021325435489416122,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 4.1327,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.02238606847822666,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 4.1384,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.643662056099676e+17,
394
+ "train_loss": 4.453979723169169,
395
+ "train_runtime": 7854.938,
396
+ "train_samples_per_second": 71.054,
397
+ "train_steps_per_second": 0.069
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": 2.643662056099676e+17,
418
+ "train_batch_size": 8,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/siglip2_b32_256/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/siglip2_b32_256/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
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
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 768,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-B-32-SigLIP2-256",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/siglip2/siglip2_b32_256.npz",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/siglip2_b32_256/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/siglip2_b32_256/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff