lyunee commited on
Commit
9f3198f
·
verified ·
1 Parent(s): a88b355

Upload continuous evaluation checkpoints, batch 46

Browse files
Files changed (44) hide show
  1. continuous/smollm2/webssl_dino300m_full2b_224/finetune/model.safetensors +3 -0
  2. continuous/smollm2/webssl_dino300m_full2b_224/finetune/special_tokens_map.json +28 -0
  3. continuous/smollm2/webssl_dino300m_full2b_224/finetune/tokenizer.json +0 -0
  4. continuous/smollm2/webssl_dino300m_full2b_224/finetune/tokenizer_config.json +155 -0
  5. continuous/smollm2/webssl_dino300m_full2b_224/finetune/trainer_state.json +1856 -0
  6. continuous/smollm2/webssl_dino300m_full2b_224/finetune/training_args.bin +3 -0
  7. continuous/smollm2/webssl_dino300m_full2b_224/finetune/vocab.json +0 -0
  8. continuous/smollm2/webssl_dino300m_full2b_224/pretrain/config.json +70 -0
  9. continuous/smollm2/webssl_dino300m_full2b_224/pretrain/mm_projector.bin +3 -0
  10. continuous/smollm2/webssl_dino300m_full2b_224/pretrain/trainer_state.json +421 -0
  11. continuous/smollm2/webssl_mae1b_full2b_224/finetune/chat_template.jinja +6 -0
  12. continuous/smollm2/webssl_mae1b_full2b_224/finetune/config.json +70 -0
  13. continuous/smollm2/webssl_mae1b_full2b_224/finetune/generation_config.json +9 -0
  14. continuous/smollm2/webssl_mae1b_full2b_224/finetune/merges.txt +0 -0
  15. continuous/smollm2/webssl_mae1b_full2b_224/finetune/model-00001-of-00002.safetensors +3 -0
  16. continuous/smollm2/webssl_mae1b_full2b_224/finetune/model-00002-of-00002.safetensors +3 -0
  17. continuous/smollm2/webssl_mae1b_full2b_224/finetune/model.safetensors.index.json +879 -0
  18. continuous/smollm2/webssl_mae1b_full2b_224/finetune/special_tokens_map.json +28 -0
  19. continuous/smollm2/webssl_mae1b_full2b_224/finetune/tokenizer.json +0 -0
  20. continuous/smollm2/webssl_mae1b_full2b_224/finetune/tokenizer_config.json +155 -0
  21. continuous/smollm2/webssl_mae1b_full2b_224/finetune/trainer_state.json +1856 -0
  22. continuous/smollm2/webssl_mae1b_full2b_224/finetune/training_args.bin +3 -0
  23. continuous/smollm2/webssl_mae1b_full2b_224/finetune/vocab.json +0 -0
  24. continuous/smollm2/webssl_mae1b_full2b_224/pretrain/config.json +70 -0
  25. continuous/smollm2/webssl_mae1b_full2b_224/pretrain/mm_projector.bin +3 -0
  26. continuous/smollm2/webssl_mae1b_full2b_224/pretrain/trainer_state.json +421 -0
  27. continuous/smollm2/webssl_mae300m_full2b_224/finetune/chat_template.jinja +6 -0
  28. continuous/smollm2/webssl_mae300m_full2b_224/finetune/config.json +70 -0
  29. continuous/smollm2/webssl_mae300m_full2b_224/finetune/generation_config.json +9 -0
  30. continuous/smollm2/webssl_mae300m_full2b_224/finetune/merges.txt +0 -0
  31. continuous/smollm2/webssl_mae300m_full2b_224/finetune/model.safetensors +3 -0
  32. continuous/smollm2/webssl_mae300m_full2b_224/finetune/special_tokens_map.json +28 -0
  33. continuous/smollm2/webssl_mae300m_full2b_224/finetune/tokenizer.json +0 -0
  34. continuous/smollm2/webssl_mae300m_full2b_224/finetune/tokenizer_config.json +155 -0
  35. continuous/smollm2/webssl_mae300m_full2b_224/finetune/trainer_state.json +1856 -0
  36. continuous/smollm2/webssl_mae300m_full2b_224/finetune/training_args.bin +3 -0
  37. continuous/smollm2/webssl_mae300m_full2b_224/finetune/vocab.json +0 -0
  38. continuous/smollm2/webssl_mae300m_full2b_224/pretrain/config.json +70 -0
  39. continuous/smollm2/webssl_mae300m_full2b_224/pretrain/mm_projector.bin +3 -0
  40. continuous/smollm2/webssl_mae300m_full2b_224/pretrain/trainer_state.json +421 -0
  41. continuous/smollm2/webssl_mae3b_full2b_224/finetune/chat_template.jinja +6 -0
  42. continuous/smollm2/webssl_mae3b_full2b_224/finetune/config.json +70 -0
  43. continuous/smollm2/webssl_mae3b_full2b_224/finetune/generation_config.json +9 -0
  44. continuous/smollm2/webssl_mae3b_full2b_224/finetune/merges.txt +0 -0
continuous/smollm2/webssl_dino300m_full2b_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a8036b19a2ac0926621a96db07c2752143122dfa8461d11b4908a124252fb5b
3
+ size 4256661912
continuous/smollm2/webssl_dino300m_full2b_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/webssl_dino300m_full2b_224/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_dino300m_full2b_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/webssl_dino300m_full2b_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
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": 0.003850596842510589,
14
+ "grad_norm": 2.849217176437378,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2499,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.105393171310425,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1358,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.063415050506592,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0335,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3648158311843872,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.9839,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.318146824836731,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9667,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.29126107692718506,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.897,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.23756088316440582,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8513,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.23362097144126892,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8641,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.2201012820005417,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8517,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.21237178146839142,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8202,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.2062198668718338,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8105,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.20854510366916656,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8297,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.19502753019332886,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8077,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.2161751389503479,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8202,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.21532166004180908,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.797,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.20600679516792297,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8022,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.19071751832962036,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8013,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.2048383355140686,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8347,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.19958193600177765,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.821,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.19884508848190308,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8198,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.20409642159938812,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8054,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.19160839915275574,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.7974,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.1883227825164795,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.7922,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.19248853623867035,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7864,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.19169457256793976,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8029,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.18853391706943512,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8014,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.1899716854095459,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7832,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.16914738714694977,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7819,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.18293850123882294,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.813,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.1788962334394455,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7701,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.17531166970729828,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7759,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.19653576612472534,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7839,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.1804468333721161,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7873,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.19175902009010315,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.7897,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.19713476300239563,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.795,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.1849808543920517,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7755,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.1782224327325821,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8032,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.174220472574234,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7678,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.17979788780212402,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.772,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.16711899638175964,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7812,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.1943427175283432,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7777,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.19390498101711273,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.7907,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.1810373067855835,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7704,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.17690858244895935,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7787,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.18913953006267548,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7638,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.19607771933078766,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7723,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.171998992562294,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7763,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.19282227754592896,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7757,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.17418818175792694,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7682,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.1748940497636795,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7709,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.189378023147583,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.762,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.18480119109153748,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7854,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.18480555713176727,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7688,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.18214379251003265,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7784,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.18211865425109863,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7822,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.18195733428001404,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.7862,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.1981562376022339,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8023,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.19192363321781158,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7678,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.17986682057380676,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7855,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.1640821397304535,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7817,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.19147734344005585,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.7991,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.16887128353118896,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7776,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.1815192848443985,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.7893,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.1807527244091034,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7865,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.16280747950077057,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7466,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.17407937347888947,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.775,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.19154754281044006,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.7821,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.16906993091106415,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7652,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.17373989522457123,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7758,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.18278847634792328,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.7866,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.16509222984313965,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7672,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.17906999588012695,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7673,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.17354834079742432,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7793,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.17759284377098083,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7645,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.16005605459213257,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.761,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.17859211564064026,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7584,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.16163209080696106,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7762,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.18417637050151825,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7706,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.17162886261940002,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7556,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.18247470259666443,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7772,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.1651126891374588,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.776,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.17240431904792786,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7737,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.17988134920597076,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7594,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.18402262032032013,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7593,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1640693098306656,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7677,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.17969422042369843,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7615,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.16457566618919373,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.764,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.1726258546113968,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7671,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.17757385969161987,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7598,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.16488133370876312,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7637,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.18766054511070251,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7548,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.1680602878332138,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7597,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.19374313950538635,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7412,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.18212372064590454,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7725,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.18580561876296997,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.7877,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.17535936832427979,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.783,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.16924476623535156,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.754,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.16980408132076263,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7616,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.17926250398159027,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7518,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.1729089617729187,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7604,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17128226161003113,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7804,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.19183418154716492,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7787,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.15790912508964539,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7751,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.1784982532262802,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7638,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.15714190900325775,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7601,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.1586635559797287,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7655,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.1776939183473587,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7578,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.1723143607378006,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7827,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.18426714837551117,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7648,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.1797376573085785,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.777,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.18367977440357208,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7702,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.1841287463903427,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7678,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.1768961250782013,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7483,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.18733657896518707,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7725,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.17633751034736633,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7572,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.20781801640987396,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.7852,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.16702428460121155,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.7931,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.16834202408790588,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7726,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.16285577416419983,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7515,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.17477785050868988,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7582,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.17220604419708252,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.756,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.17277970910072327,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7827,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.16617555916309357,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7762,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.1658850610256195,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7556,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.17557743191719055,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7491,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.18733975291252136,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7607,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.18563212454319,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7405,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.179581880569458,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7557,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.16690105199813843,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7675,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.17263855040073395,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.758,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.17454616725444794,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7761,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.18240705132484436,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7485,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.18256030976772308,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.758,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.16959261894226074,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7612,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.17303021252155304,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7572,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.18690839409828186,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7759,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.1792057454586029,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7694,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.164366215467453,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7811,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.17595066130161285,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7577,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.17264395952224731,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7573,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.181438609957695,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7739,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.18779264390468597,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7602,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.17987701296806335,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7723,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.18287141621112823,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7723,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.18473967909812927,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7577,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.1783231943845749,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7619,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.17187581956386566,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7584,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.18063901364803314,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7514,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.17112894356250763,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7601,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.16773101687431335,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7698,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.17507511377334595,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7645,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.17689302563667297,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7731,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.1604737490415573,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.774,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.17282108962535858,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7726,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.1620083898305893,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.762,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.16276811063289642,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7764,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.1816469132900238,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7787,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.18503008782863617,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7715,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.15654872357845306,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7665,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.16830459237098694,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7618,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.1632918417453766,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7405,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.1781202107667923,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7416,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.17197808623313904,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7667,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.16060614585876465,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7584,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.17147503793239594,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7722,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.1709176003932953,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7486,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.18063513934612274,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.766,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.17484848201274872,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7612,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.18083792924880981,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7538,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.1660001575946808,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7581,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.1767004281282425,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7627,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.19084595143795013,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7559,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.18900954723358154,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7643,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.17421260476112366,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7702,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.1659581959247589,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.763,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1668090969324112,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7568,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.1828475296497345,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.7911,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.1683444231748581,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.769,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.184872105717659,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7849,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.1714065819978714,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7524,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.17445909976959229,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7467,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.16486051678657532,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7703,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.17691953480243683,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7526,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.16957232356071472,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7575,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.1765242964029312,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7722,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.16795112192630768,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.77,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.17752595245838165,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7602,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.1708524078130722,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7713,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.1738175004720688,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7566,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.18926113843917847,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7672,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.1627325564622879,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7668,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.16836793720722198,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7535,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.1788535714149475,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.775,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.16693656146526337,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7718,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.17377734184265137,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7534,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.18540462851524353,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7805,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.17670921981334686,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.769,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.18759745359420776,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7689,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.19500567018985748,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7566,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.16680112481117249,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.758,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.17124028503894806,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7637,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.16327917575836182,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7468,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.17247430980205536,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7434,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.1718081831932068,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7577,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.15920144319534302,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7599,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.15750554203987122,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7473,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.183786541223526,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7644,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.1620444655418396,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7391,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.16444943845272064,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7656,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.168411985039711,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.758,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.17231014370918274,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7586,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.18492935597896576,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7737,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.1726539134979248,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.756,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.177035391330719,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7583,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.16525626182556152,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7484,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.1678822934627533,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7681,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.1699499487876892,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7631,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.16490218043327332,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7571,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.17616097629070282,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7598,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.18033073842525482,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7613,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.16474054753780365,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7324,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.16352108120918274,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7651,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.1876058727502823,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.758,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.16764837503433228,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7696,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.17329858243465424,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7585,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.1975717693567276,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7406,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.1702103614807129,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7602,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.16247408092021942,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7621,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.16893579065799713,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7687,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.163793683052063,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7493,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.16484107077121735,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7614,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.16285492479801178,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.764,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.1753949224948883,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.773,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.16498513519763947,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7662,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.17592117190361023,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7439,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.16625143587589264,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7599,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.18389025330543518,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.752,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.16617615520954132,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7626,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.17198534309864044,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7726,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.19071416556835175,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7683,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.16362757980823517,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7457,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.16056659817695618,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.777,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.1646297574043274,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7698,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.17043940722942352,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7607,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.1810024529695511,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7492,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.17686310410499573,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7749,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.1773536652326584,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7713,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.17506557703018188,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7568,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.17210182547569275,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7586,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.16752995550632477,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7591,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.16701336205005646,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7583,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.17360830307006836,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7713,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.17269811034202576,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7536,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.16033458709716797,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7531,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.15802381932735443,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7698,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.16353990137577057,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7547,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.1667587161064148,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7501,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.1627393364906311,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7424,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.1769946962594986,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7731,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 6.733660633738248e+18,
1829
+ "train_loss": 0.7762898409141684,
1830
+ "train_runtime": 14892.211,
1831
+ "train_samples_per_second": 44.648,
1832
+ "train_steps_per_second": 0.174
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
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": 6.733660633738248e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/webssl_dino300m_full2b_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:76fd4602c06934fed25f01a2a52cb01b00c73b646c2f123a6413d0d574d1a020
3
+ size 6264
continuous/smollm2/webssl_dino300m_full2b_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_dino300m_full2b_224/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-dino300m-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_dino300m_full2b_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9706eeaa37383c16fdfae4050b62d06231a6428eff94fcf554081a28e3e166c
3
+ size 25184312
continuous/smollm2/webssl_dino300m_full2b_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.3608818054199219,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 3.7328,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.17641086876392365,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9274,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.09021255373954773,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.7821,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.10445146262645721,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7041,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.08677558600902557,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.6567,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.11340591311454773,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6073,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.13171449303627014,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.5743,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.13868063688278198,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.5433,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.1355467438697815,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.5203,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.13812386989593506,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.5084,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.09742917120456696,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.4841,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.09250123053789139,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.4761,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.108077771961689,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.4561,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.09849868714809418,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.4453,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.09327493607997894,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.4509,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.08948465436697006,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.4389,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.07853515446186066,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.4342,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.10086923092603683,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.4229,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.10101193189620972,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.4191,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.08335606008768082,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.4001,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.0866546630859375,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.4021,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.09501807391643524,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.4083,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.08033736795186996,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.4051,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.08737606555223465,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.397,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.08756648749113083,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.3887,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.08900777250528336,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.3979,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.08272869139909744,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.3775,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.1028878390789032,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.3833,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.08761882781982422,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.3676,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.07924611121416092,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.3677,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.11063561588525772,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.3761,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.08376167714595795,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.3758,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.10660155862569809,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.3593,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.09873966127634048,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.3656,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.07969395071268082,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.3664,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.09483855962753296,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.3694,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.0823395624756813,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.3596,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.07977040112018585,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.3693,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.08550091832876205,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.353,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.07875966280698776,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.355,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.08284778147935867,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.3515,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.08487748354673386,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.3468,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.0781325250864029,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.3519,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.09572076797485352,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.3574,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.08173124492168427,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.3537,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.0810076892375946,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.3417,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.0846480131149292,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.3375,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.08047457039356232,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.3424,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.0802660807967186,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.3458,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.08082406222820282,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.3516,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.08159183710813522,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.3403,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.07743487507104874,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.3363,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.07765097916126251,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.3379,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.07882232964038849,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.3422,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.994002262358753e+17,
394
+ "train_loss": 2.450589505466846,
395
+ "train_runtime": 1647.1269,
396
+ "train_samples_per_second": 338.849,
397
+ "train_steps_per_second": 0.331
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.994002262358753e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/webssl_mae1b_full2b_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1536,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
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,mm_language_model",
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-mae1b-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae1b_full2b_224/finetune/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2427f52f1bbcbf68c5a4fd30b0a7c5102bf4cd870c652158248a88758a8abb7
3
+ size 4993122248
continuous/smollm2/webssl_mae1b_full2b_224/finetune/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:388f7798292e5d9641f8f8b0e9e9d8b754a6b5a1ced35c0fa2d031ecdc5a0cda
3
+ size 934307456
continuous/smollm2/webssl_mae1b_full2b_224/finetune/model.safetensors.index.json ADDED
@@ -0,0 +1,879 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 2855646208,
4
+ "total_size": 5927307264
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00002-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
18
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
30
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
54
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
66
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
90
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
102
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
126
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
152
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
162
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
176
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
186
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
188
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
198
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
200
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
210
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
212
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
222
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
224
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.mm_projector.0.bias": "model-00002-of-00002.safetensors",
226
+ "model.mm_projector.0.weight": "model-00002-of-00002.safetensors",
227
+ "model.mm_projector.2.bias": "model-00002-of-00002.safetensors",
228
+ "model.mm_projector.2.weight": "model-00002-of-00002.safetensors",
229
+ "model.norm.weight": "model-00001-of-00002.safetensors",
230
+ "model.vision_tower.vision_tower.embeddings.cls_token": "model-00001-of-00002.safetensors",
231
+ "model.vision_tower.vision_tower.embeddings.patch_embeddings.projection.bias": "model-00001-of-00002.safetensors",
232
+ "model.vision_tower.vision_tower.embeddings.patch_embeddings.projection.weight": "model-00001-of-00002.safetensors",
233
+ "model.vision_tower.vision_tower.embeddings.position_embeddings": "model-00001-of-00002.safetensors",
234
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.key.bias": "model-00001-of-00002.safetensors",
235
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.key.weight": "model-00001-of-00002.safetensors",
236
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.query.bias": "model-00001-of-00002.safetensors",
237
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.query.weight": "model-00001-of-00002.safetensors",
238
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.value.bias": "model-00001-of-00002.safetensors",
239
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.attention.value.weight": "model-00001-of-00002.safetensors",
240
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.output.dense.bias": "model-00001-of-00002.safetensors",
241
+ "model.vision_tower.vision_tower.encoder.layer.0.attention.output.dense.weight": "model-00001-of-00002.safetensors",
242
+ "model.vision_tower.vision_tower.encoder.layer.0.intermediate.dense.bias": "model-00001-of-00002.safetensors",
243
+ "model.vision_tower.vision_tower.encoder.layer.0.intermediate.dense.weight": "model-00001-of-00002.safetensors",
244
+ "model.vision_tower.vision_tower.encoder.layer.0.layernorm_after.bias": "model-00001-of-00002.safetensors",
245
+ "model.vision_tower.vision_tower.encoder.layer.0.layernorm_after.weight": "model-00001-of-00002.safetensors",
246
+ "model.vision_tower.vision_tower.encoder.layer.0.layernorm_before.bias": "model-00001-of-00002.safetensors",
247
+ "model.vision_tower.vision_tower.encoder.layer.0.layernorm_before.weight": "model-00001-of-00002.safetensors",
248
+ "model.vision_tower.vision_tower.encoder.layer.0.output.dense.bias": "model-00001-of-00002.safetensors",
249
+ "model.vision_tower.vision_tower.encoder.layer.0.output.dense.weight": "model-00001-of-00002.safetensors",
250
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.key.bias": "model-00001-of-00002.safetensors",
251
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.key.weight": "model-00001-of-00002.safetensors",
252
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.query.bias": "model-00001-of-00002.safetensors",
253
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.query.weight": "model-00001-of-00002.safetensors",
254
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.value.bias": "model-00001-of-00002.safetensors",
255
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.attention.value.weight": "model-00001-of-00002.safetensors",
256
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.output.dense.bias": "model-00001-of-00002.safetensors",
257
+ "model.vision_tower.vision_tower.encoder.layer.1.attention.output.dense.weight": "model-00001-of-00002.safetensors",
258
+ "model.vision_tower.vision_tower.encoder.layer.1.intermediate.dense.bias": "model-00001-of-00002.safetensors",
259
+ "model.vision_tower.vision_tower.encoder.layer.1.intermediate.dense.weight": "model-00001-of-00002.safetensors",
260
+ "model.vision_tower.vision_tower.encoder.layer.1.layernorm_after.bias": "model-00001-of-00002.safetensors",
261
+ "model.vision_tower.vision_tower.encoder.layer.1.layernorm_after.weight": "model-00001-of-00002.safetensors",
262
+ "model.vision_tower.vision_tower.encoder.layer.1.layernorm_before.bias": "model-00001-of-00002.safetensors",
263
+ "model.vision_tower.vision_tower.encoder.layer.1.layernorm_before.weight": "model-00001-of-00002.safetensors",
264
+ "model.vision_tower.vision_tower.encoder.layer.1.output.dense.bias": "model-00001-of-00002.safetensors",
265
+ "model.vision_tower.vision_tower.encoder.layer.1.output.dense.weight": "model-00001-of-00002.safetensors",
266
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.key.bias": "model-00001-of-00002.safetensors",
267
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.key.weight": "model-00001-of-00002.safetensors",
268
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.query.bias": "model-00001-of-00002.safetensors",
269
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.query.weight": "model-00001-of-00002.safetensors",
270
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.value.bias": "model-00001-of-00002.safetensors",
271
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.attention.value.weight": "model-00001-of-00002.safetensors",
272
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.output.dense.bias": "model-00001-of-00002.safetensors",
273
+ "model.vision_tower.vision_tower.encoder.layer.10.attention.output.dense.weight": "model-00001-of-00002.safetensors",
274
+ "model.vision_tower.vision_tower.encoder.layer.10.intermediate.dense.bias": "model-00001-of-00002.safetensors",
275
+ "model.vision_tower.vision_tower.encoder.layer.10.intermediate.dense.weight": "model-00001-of-00002.safetensors",
276
+ "model.vision_tower.vision_tower.encoder.layer.10.layernorm_after.bias": "model-00001-of-00002.safetensors",
277
+ "model.vision_tower.vision_tower.encoder.layer.10.layernorm_after.weight": "model-00001-of-00002.safetensors",
278
+ "model.vision_tower.vision_tower.encoder.layer.10.layernorm_before.bias": "model-00001-of-00002.safetensors",
279
+ "model.vision_tower.vision_tower.encoder.layer.10.layernorm_before.weight": "model-00001-of-00002.safetensors",
280
+ "model.vision_tower.vision_tower.encoder.layer.10.output.dense.bias": "model-00001-of-00002.safetensors",
281
+ "model.vision_tower.vision_tower.encoder.layer.10.output.dense.weight": "model-00001-of-00002.safetensors",
282
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.key.bias": "model-00001-of-00002.safetensors",
283
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.key.weight": "model-00001-of-00002.safetensors",
284
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.query.bias": "model-00001-of-00002.safetensors",
285
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.query.weight": "model-00001-of-00002.safetensors",
286
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.value.bias": "model-00001-of-00002.safetensors",
287
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.attention.value.weight": "model-00001-of-00002.safetensors",
288
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.output.dense.bias": "model-00001-of-00002.safetensors",
289
+ "model.vision_tower.vision_tower.encoder.layer.11.attention.output.dense.weight": "model-00001-of-00002.safetensors",
290
+ "model.vision_tower.vision_tower.encoder.layer.11.intermediate.dense.bias": "model-00001-of-00002.safetensors",
291
+ "model.vision_tower.vision_tower.encoder.layer.11.intermediate.dense.weight": "model-00001-of-00002.safetensors",
292
+ "model.vision_tower.vision_tower.encoder.layer.11.layernorm_after.bias": "model-00001-of-00002.safetensors",
293
+ "model.vision_tower.vision_tower.encoder.layer.11.layernorm_after.weight": "model-00001-of-00002.safetensors",
294
+ "model.vision_tower.vision_tower.encoder.layer.11.layernorm_before.bias": "model-00001-of-00002.safetensors",
295
+ "model.vision_tower.vision_tower.encoder.layer.11.layernorm_before.weight": "model-00001-of-00002.safetensors",
296
+ "model.vision_tower.vision_tower.encoder.layer.11.output.dense.bias": "model-00001-of-00002.safetensors",
297
+ "model.vision_tower.vision_tower.encoder.layer.11.output.dense.weight": "model-00001-of-00002.safetensors",
298
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.key.bias": "model-00001-of-00002.safetensors",
299
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.key.weight": "model-00001-of-00002.safetensors",
300
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.query.bias": "model-00001-of-00002.safetensors",
301
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.query.weight": "model-00001-of-00002.safetensors",
302
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.value.bias": "model-00001-of-00002.safetensors",
303
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.attention.value.weight": "model-00001-of-00002.safetensors",
304
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.output.dense.bias": "model-00001-of-00002.safetensors",
305
+ "model.vision_tower.vision_tower.encoder.layer.12.attention.output.dense.weight": "model-00001-of-00002.safetensors",
306
+ "model.vision_tower.vision_tower.encoder.layer.12.intermediate.dense.bias": "model-00001-of-00002.safetensors",
307
+ "model.vision_tower.vision_tower.encoder.layer.12.intermediate.dense.weight": "model-00001-of-00002.safetensors",
308
+ "model.vision_tower.vision_tower.encoder.layer.12.layernorm_after.bias": "model-00001-of-00002.safetensors",
309
+ "model.vision_tower.vision_tower.encoder.layer.12.layernorm_after.weight": "model-00001-of-00002.safetensors",
310
+ "model.vision_tower.vision_tower.encoder.layer.12.layernorm_before.bias": "model-00001-of-00002.safetensors",
311
+ "model.vision_tower.vision_tower.encoder.layer.12.layernorm_before.weight": "model-00001-of-00002.safetensors",
312
+ "model.vision_tower.vision_tower.encoder.layer.12.output.dense.bias": "model-00001-of-00002.safetensors",
313
+ "model.vision_tower.vision_tower.encoder.layer.12.output.dense.weight": "model-00001-of-00002.safetensors",
314
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.key.bias": "model-00001-of-00002.safetensors",
315
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.key.weight": "model-00001-of-00002.safetensors",
316
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.query.bias": "model-00001-of-00002.safetensors",
317
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.query.weight": "model-00001-of-00002.safetensors",
318
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.value.bias": "model-00001-of-00002.safetensors",
319
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.attention.value.weight": "model-00001-of-00002.safetensors",
320
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.output.dense.bias": "model-00001-of-00002.safetensors",
321
+ "model.vision_tower.vision_tower.encoder.layer.13.attention.output.dense.weight": "model-00001-of-00002.safetensors",
322
+ "model.vision_tower.vision_tower.encoder.layer.13.intermediate.dense.bias": "model-00001-of-00002.safetensors",
323
+ "model.vision_tower.vision_tower.encoder.layer.13.intermediate.dense.weight": "model-00001-of-00002.safetensors",
324
+ "model.vision_tower.vision_tower.encoder.layer.13.layernorm_after.bias": "model-00001-of-00002.safetensors",
325
+ "model.vision_tower.vision_tower.encoder.layer.13.layernorm_after.weight": "model-00001-of-00002.safetensors",
326
+ "model.vision_tower.vision_tower.encoder.layer.13.layernorm_before.bias": "model-00001-of-00002.safetensors",
327
+ "model.vision_tower.vision_tower.encoder.layer.13.layernorm_before.weight": "model-00001-of-00002.safetensors",
328
+ "model.vision_tower.vision_tower.encoder.layer.13.output.dense.bias": "model-00001-of-00002.safetensors",
329
+ "model.vision_tower.vision_tower.encoder.layer.13.output.dense.weight": "model-00001-of-00002.safetensors",
330
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.key.bias": "model-00001-of-00002.safetensors",
331
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.key.weight": "model-00001-of-00002.safetensors",
332
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.query.bias": "model-00001-of-00002.safetensors",
333
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.query.weight": "model-00001-of-00002.safetensors",
334
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.value.bias": "model-00001-of-00002.safetensors",
335
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.attention.value.weight": "model-00001-of-00002.safetensors",
336
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.output.dense.bias": "model-00001-of-00002.safetensors",
337
+ "model.vision_tower.vision_tower.encoder.layer.14.attention.output.dense.weight": "model-00001-of-00002.safetensors",
338
+ "model.vision_tower.vision_tower.encoder.layer.14.intermediate.dense.bias": "model-00001-of-00002.safetensors",
339
+ "model.vision_tower.vision_tower.encoder.layer.14.intermediate.dense.weight": "model-00001-of-00002.safetensors",
340
+ "model.vision_tower.vision_tower.encoder.layer.14.layernorm_after.bias": "model-00001-of-00002.safetensors",
341
+ "model.vision_tower.vision_tower.encoder.layer.14.layernorm_after.weight": "model-00001-of-00002.safetensors",
342
+ "model.vision_tower.vision_tower.encoder.layer.14.layernorm_before.bias": "model-00001-of-00002.safetensors",
343
+ "model.vision_tower.vision_tower.encoder.layer.14.layernorm_before.weight": "model-00001-of-00002.safetensors",
344
+ "model.vision_tower.vision_tower.encoder.layer.14.output.dense.bias": "model-00001-of-00002.safetensors",
345
+ "model.vision_tower.vision_tower.encoder.layer.14.output.dense.weight": "model-00001-of-00002.safetensors",
346
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.key.bias": "model-00001-of-00002.safetensors",
347
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.key.weight": "model-00001-of-00002.safetensors",
348
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.query.bias": "model-00001-of-00002.safetensors",
349
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.query.weight": "model-00001-of-00002.safetensors",
350
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.value.bias": "model-00001-of-00002.safetensors",
351
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.attention.value.weight": "model-00001-of-00002.safetensors",
352
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.output.dense.bias": "model-00001-of-00002.safetensors",
353
+ "model.vision_tower.vision_tower.encoder.layer.15.attention.output.dense.weight": "model-00001-of-00002.safetensors",
354
+ "model.vision_tower.vision_tower.encoder.layer.15.intermediate.dense.bias": "model-00001-of-00002.safetensors",
355
+ "model.vision_tower.vision_tower.encoder.layer.15.intermediate.dense.weight": "model-00001-of-00002.safetensors",
356
+ "model.vision_tower.vision_tower.encoder.layer.15.layernorm_after.bias": "model-00001-of-00002.safetensors",
357
+ "model.vision_tower.vision_tower.encoder.layer.15.layernorm_after.weight": "model-00001-of-00002.safetensors",
358
+ "model.vision_tower.vision_tower.encoder.layer.15.layernorm_before.bias": "model-00001-of-00002.safetensors",
359
+ "model.vision_tower.vision_tower.encoder.layer.15.layernorm_before.weight": "model-00001-of-00002.safetensors",
360
+ "model.vision_tower.vision_tower.encoder.layer.15.output.dense.bias": "model-00001-of-00002.safetensors",
361
+ "model.vision_tower.vision_tower.encoder.layer.15.output.dense.weight": "model-00001-of-00002.safetensors",
362
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.key.bias": "model-00001-of-00002.safetensors",
363
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.key.weight": "model-00001-of-00002.safetensors",
364
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.query.bias": "model-00001-of-00002.safetensors",
365
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.query.weight": "model-00001-of-00002.safetensors",
366
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.value.bias": "model-00001-of-00002.safetensors",
367
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.attention.value.weight": "model-00001-of-00002.safetensors",
368
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.output.dense.bias": "model-00001-of-00002.safetensors",
369
+ "model.vision_tower.vision_tower.encoder.layer.16.attention.output.dense.weight": "model-00001-of-00002.safetensors",
370
+ "model.vision_tower.vision_tower.encoder.layer.16.intermediate.dense.bias": "model-00001-of-00002.safetensors",
371
+ "model.vision_tower.vision_tower.encoder.layer.16.intermediate.dense.weight": "model-00001-of-00002.safetensors",
372
+ "model.vision_tower.vision_tower.encoder.layer.16.layernorm_after.bias": "model-00001-of-00002.safetensors",
373
+ "model.vision_tower.vision_tower.encoder.layer.16.layernorm_after.weight": "model-00001-of-00002.safetensors",
374
+ "model.vision_tower.vision_tower.encoder.layer.16.layernorm_before.bias": "model-00001-of-00002.safetensors",
375
+ "model.vision_tower.vision_tower.encoder.layer.16.layernorm_before.weight": "model-00001-of-00002.safetensors",
376
+ "model.vision_tower.vision_tower.encoder.layer.16.output.dense.bias": "model-00001-of-00002.safetensors",
377
+ "model.vision_tower.vision_tower.encoder.layer.16.output.dense.weight": "model-00001-of-00002.safetensors",
378
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.key.bias": "model-00001-of-00002.safetensors",
379
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.key.weight": "model-00001-of-00002.safetensors",
380
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.query.bias": "model-00001-of-00002.safetensors",
381
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.query.weight": "model-00001-of-00002.safetensors",
382
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.value.bias": "model-00001-of-00002.safetensors",
383
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.attention.value.weight": "model-00001-of-00002.safetensors",
384
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.output.dense.bias": "model-00001-of-00002.safetensors",
385
+ "model.vision_tower.vision_tower.encoder.layer.17.attention.output.dense.weight": "model-00001-of-00002.safetensors",
386
+ "model.vision_tower.vision_tower.encoder.layer.17.intermediate.dense.bias": "model-00001-of-00002.safetensors",
387
+ "model.vision_tower.vision_tower.encoder.layer.17.intermediate.dense.weight": "model-00001-of-00002.safetensors",
388
+ "model.vision_tower.vision_tower.encoder.layer.17.layernorm_after.bias": "model-00001-of-00002.safetensors",
389
+ "model.vision_tower.vision_tower.encoder.layer.17.layernorm_after.weight": "model-00001-of-00002.safetensors",
390
+ "model.vision_tower.vision_tower.encoder.layer.17.layernorm_before.bias": "model-00001-of-00002.safetensors",
391
+ "model.vision_tower.vision_tower.encoder.layer.17.layernorm_before.weight": "model-00001-of-00002.safetensors",
392
+ "model.vision_tower.vision_tower.encoder.layer.17.output.dense.bias": "model-00001-of-00002.safetensors",
393
+ "model.vision_tower.vision_tower.encoder.layer.17.output.dense.weight": "model-00001-of-00002.safetensors",
394
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.key.bias": "model-00001-of-00002.safetensors",
395
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.key.weight": "model-00001-of-00002.safetensors",
396
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.query.bias": "model-00001-of-00002.safetensors",
397
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.query.weight": "model-00001-of-00002.safetensors",
398
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.value.bias": "model-00001-of-00002.safetensors",
399
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.attention.value.weight": "model-00001-of-00002.safetensors",
400
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.output.dense.bias": "model-00001-of-00002.safetensors",
401
+ "model.vision_tower.vision_tower.encoder.layer.18.attention.output.dense.weight": "model-00001-of-00002.safetensors",
402
+ "model.vision_tower.vision_tower.encoder.layer.18.intermediate.dense.bias": "model-00001-of-00002.safetensors",
403
+ "model.vision_tower.vision_tower.encoder.layer.18.intermediate.dense.weight": "model-00001-of-00002.safetensors",
404
+ "model.vision_tower.vision_tower.encoder.layer.18.layernorm_after.bias": "model-00001-of-00002.safetensors",
405
+ "model.vision_tower.vision_tower.encoder.layer.18.layernorm_after.weight": "model-00001-of-00002.safetensors",
406
+ "model.vision_tower.vision_tower.encoder.layer.18.layernorm_before.bias": "model-00001-of-00002.safetensors",
407
+ "model.vision_tower.vision_tower.encoder.layer.18.layernorm_before.weight": "model-00001-of-00002.safetensors",
408
+ "model.vision_tower.vision_tower.encoder.layer.18.output.dense.bias": "model-00001-of-00002.safetensors",
409
+ "model.vision_tower.vision_tower.encoder.layer.18.output.dense.weight": "model-00001-of-00002.safetensors",
410
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.key.bias": "model-00001-of-00002.safetensors",
411
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.key.weight": "model-00001-of-00002.safetensors",
412
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.query.bias": "model-00001-of-00002.safetensors",
413
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.query.weight": "model-00001-of-00002.safetensors",
414
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.value.bias": "model-00001-of-00002.safetensors",
415
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.attention.value.weight": "model-00001-of-00002.safetensors",
416
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.output.dense.bias": "model-00001-of-00002.safetensors",
417
+ "model.vision_tower.vision_tower.encoder.layer.19.attention.output.dense.weight": "model-00001-of-00002.safetensors",
418
+ "model.vision_tower.vision_tower.encoder.layer.19.intermediate.dense.bias": "model-00001-of-00002.safetensors",
419
+ "model.vision_tower.vision_tower.encoder.layer.19.intermediate.dense.weight": "model-00001-of-00002.safetensors",
420
+ "model.vision_tower.vision_tower.encoder.layer.19.layernorm_after.bias": "model-00001-of-00002.safetensors",
421
+ "model.vision_tower.vision_tower.encoder.layer.19.layernorm_after.weight": "model-00001-of-00002.safetensors",
422
+ "model.vision_tower.vision_tower.encoder.layer.19.layernorm_before.bias": "model-00001-of-00002.safetensors",
423
+ "model.vision_tower.vision_tower.encoder.layer.19.layernorm_before.weight": "model-00001-of-00002.safetensors",
424
+ "model.vision_tower.vision_tower.encoder.layer.19.output.dense.bias": "model-00001-of-00002.safetensors",
425
+ "model.vision_tower.vision_tower.encoder.layer.19.output.dense.weight": "model-00001-of-00002.safetensors",
426
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.key.bias": "model-00001-of-00002.safetensors",
427
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.key.weight": "model-00001-of-00002.safetensors",
428
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.query.bias": "model-00001-of-00002.safetensors",
429
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.query.weight": "model-00001-of-00002.safetensors",
430
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.value.bias": "model-00001-of-00002.safetensors",
431
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.attention.value.weight": "model-00001-of-00002.safetensors",
432
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.output.dense.bias": "model-00001-of-00002.safetensors",
433
+ "model.vision_tower.vision_tower.encoder.layer.2.attention.output.dense.weight": "model-00001-of-00002.safetensors",
434
+ "model.vision_tower.vision_tower.encoder.layer.2.intermediate.dense.bias": "model-00001-of-00002.safetensors",
435
+ "model.vision_tower.vision_tower.encoder.layer.2.intermediate.dense.weight": "model-00001-of-00002.safetensors",
436
+ "model.vision_tower.vision_tower.encoder.layer.2.layernorm_after.bias": "model-00001-of-00002.safetensors",
437
+ "model.vision_tower.vision_tower.encoder.layer.2.layernorm_after.weight": "model-00001-of-00002.safetensors",
438
+ "model.vision_tower.vision_tower.encoder.layer.2.layernorm_before.bias": "model-00001-of-00002.safetensors",
439
+ "model.vision_tower.vision_tower.encoder.layer.2.layernorm_before.weight": "model-00001-of-00002.safetensors",
440
+ "model.vision_tower.vision_tower.encoder.layer.2.output.dense.bias": "model-00001-of-00002.safetensors",
441
+ "model.vision_tower.vision_tower.encoder.layer.2.output.dense.weight": "model-00001-of-00002.safetensors",
442
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.key.bias": "model-00001-of-00002.safetensors",
443
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.key.weight": "model-00001-of-00002.safetensors",
444
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.query.bias": "model-00001-of-00002.safetensors",
445
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.query.weight": "model-00001-of-00002.safetensors",
446
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.value.bias": "model-00001-of-00002.safetensors",
447
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.attention.value.weight": "model-00001-of-00002.safetensors",
448
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.output.dense.bias": "model-00001-of-00002.safetensors",
449
+ "model.vision_tower.vision_tower.encoder.layer.20.attention.output.dense.weight": "model-00001-of-00002.safetensors",
450
+ "model.vision_tower.vision_tower.encoder.layer.20.intermediate.dense.bias": "model-00001-of-00002.safetensors",
451
+ "model.vision_tower.vision_tower.encoder.layer.20.intermediate.dense.weight": "model-00001-of-00002.safetensors",
452
+ "model.vision_tower.vision_tower.encoder.layer.20.layernorm_after.bias": "model-00001-of-00002.safetensors",
453
+ "model.vision_tower.vision_tower.encoder.layer.20.layernorm_after.weight": "model-00001-of-00002.safetensors",
454
+ "model.vision_tower.vision_tower.encoder.layer.20.layernorm_before.bias": "model-00001-of-00002.safetensors",
455
+ "model.vision_tower.vision_tower.encoder.layer.20.layernorm_before.weight": "model-00001-of-00002.safetensors",
456
+ "model.vision_tower.vision_tower.encoder.layer.20.output.dense.bias": "model-00001-of-00002.safetensors",
457
+ "model.vision_tower.vision_tower.encoder.layer.20.output.dense.weight": "model-00001-of-00002.safetensors",
458
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.key.bias": "model-00001-of-00002.safetensors",
459
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.key.weight": "model-00001-of-00002.safetensors",
460
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.query.bias": "model-00001-of-00002.safetensors",
461
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.query.weight": "model-00001-of-00002.safetensors",
462
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.value.bias": "model-00001-of-00002.safetensors",
463
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.attention.value.weight": "model-00001-of-00002.safetensors",
464
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.output.dense.bias": "model-00001-of-00002.safetensors",
465
+ "model.vision_tower.vision_tower.encoder.layer.21.attention.output.dense.weight": "model-00001-of-00002.safetensors",
466
+ "model.vision_tower.vision_tower.encoder.layer.21.intermediate.dense.bias": "model-00001-of-00002.safetensors",
467
+ "model.vision_tower.vision_tower.encoder.layer.21.intermediate.dense.weight": "model-00001-of-00002.safetensors",
468
+ "model.vision_tower.vision_tower.encoder.layer.21.layernorm_after.bias": "model-00001-of-00002.safetensors",
469
+ "model.vision_tower.vision_tower.encoder.layer.21.layernorm_after.weight": "model-00001-of-00002.safetensors",
470
+ "model.vision_tower.vision_tower.encoder.layer.21.layernorm_before.bias": "model-00001-of-00002.safetensors",
471
+ "model.vision_tower.vision_tower.encoder.layer.21.layernorm_before.weight": "model-00001-of-00002.safetensors",
472
+ "model.vision_tower.vision_tower.encoder.layer.21.output.dense.bias": "model-00001-of-00002.safetensors",
473
+ "model.vision_tower.vision_tower.encoder.layer.21.output.dense.weight": "model-00001-of-00002.safetensors",
474
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.key.bias": "model-00001-of-00002.safetensors",
475
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.key.weight": "model-00001-of-00002.safetensors",
476
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.query.bias": "model-00001-of-00002.safetensors",
477
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.query.weight": "model-00001-of-00002.safetensors",
478
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.value.bias": "model-00001-of-00002.safetensors",
479
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.attention.value.weight": "model-00001-of-00002.safetensors",
480
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.output.dense.bias": "model-00001-of-00002.safetensors",
481
+ "model.vision_tower.vision_tower.encoder.layer.22.attention.output.dense.weight": "model-00001-of-00002.safetensors",
482
+ "model.vision_tower.vision_tower.encoder.layer.22.intermediate.dense.bias": "model-00001-of-00002.safetensors",
483
+ "model.vision_tower.vision_tower.encoder.layer.22.intermediate.dense.weight": "model-00001-of-00002.safetensors",
484
+ "model.vision_tower.vision_tower.encoder.layer.22.layernorm_after.bias": "model-00001-of-00002.safetensors",
485
+ "model.vision_tower.vision_tower.encoder.layer.22.layernorm_after.weight": "model-00001-of-00002.safetensors",
486
+ "model.vision_tower.vision_tower.encoder.layer.22.layernorm_before.bias": "model-00001-of-00002.safetensors",
487
+ "model.vision_tower.vision_tower.encoder.layer.22.layernorm_before.weight": "model-00001-of-00002.safetensors",
488
+ "model.vision_tower.vision_tower.encoder.layer.22.output.dense.bias": "model-00001-of-00002.safetensors",
489
+ "model.vision_tower.vision_tower.encoder.layer.22.output.dense.weight": "model-00001-of-00002.safetensors",
490
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.key.bias": "model-00001-of-00002.safetensors",
491
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.key.weight": "model-00001-of-00002.safetensors",
492
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.query.bias": "model-00001-of-00002.safetensors",
493
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.query.weight": "model-00001-of-00002.safetensors",
494
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.value.bias": "model-00001-of-00002.safetensors",
495
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.attention.value.weight": "model-00001-of-00002.safetensors",
496
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.output.dense.bias": "model-00001-of-00002.safetensors",
497
+ "model.vision_tower.vision_tower.encoder.layer.23.attention.output.dense.weight": "model-00001-of-00002.safetensors",
498
+ "model.vision_tower.vision_tower.encoder.layer.23.intermediate.dense.bias": "model-00001-of-00002.safetensors",
499
+ "model.vision_tower.vision_tower.encoder.layer.23.intermediate.dense.weight": "model-00001-of-00002.safetensors",
500
+ "model.vision_tower.vision_tower.encoder.layer.23.layernorm_after.bias": "model-00001-of-00002.safetensors",
501
+ "model.vision_tower.vision_tower.encoder.layer.23.layernorm_after.weight": "model-00001-of-00002.safetensors",
502
+ "model.vision_tower.vision_tower.encoder.layer.23.layernorm_before.bias": "model-00001-of-00002.safetensors",
503
+ "model.vision_tower.vision_tower.encoder.layer.23.layernorm_before.weight": "model-00001-of-00002.safetensors",
504
+ "model.vision_tower.vision_tower.encoder.layer.23.output.dense.bias": "model-00001-of-00002.safetensors",
505
+ "model.vision_tower.vision_tower.encoder.layer.23.output.dense.weight": "model-00001-of-00002.safetensors",
506
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.key.bias": "model-00001-of-00002.safetensors",
507
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.key.weight": "model-00001-of-00002.safetensors",
508
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.query.bias": "model-00001-of-00002.safetensors",
509
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.query.weight": "model-00001-of-00002.safetensors",
510
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.value.bias": "model-00001-of-00002.safetensors",
511
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.attention.value.weight": "model-00001-of-00002.safetensors",
512
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.output.dense.bias": "model-00001-of-00002.safetensors",
513
+ "model.vision_tower.vision_tower.encoder.layer.24.attention.output.dense.weight": "model-00001-of-00002.safetensors",
514
+ "model.vision_tower.vision_tower.encoder.layer.24.intermediate.dense.bias": "model-00001-of-00002.safetensors",
515
+ "model.vision_tower.vision_tower.encoder.layer.24.intermediate.dense.weight": "model-00001-of-00002.safetensors",
516
+ "model.vision_tower.vision_tower.encoder.layer.24.layernorm_after.bias": "model-00001-of-00002.safetensors",
517
+ "model.vision_tower.vision_tower.encoder.layer.24.layernorm_after.weight": "model-00001-of-00002.safetensors",
518
+ "model.vision_tower.vision_tower.encoder.layer.24.layernorm_before.bias": "model-00001-of-00002.safetensors",
519
+ "model.vision_tower.vision_tower.encoder.layer.24.layernorm_before.weight": "model-00001-of-00002.safetensors",
520
+ "model.vision_tower.vision_tower.encoder.layer.24.output.dense.bias": "model-00001-of-00002.safetensors",
521
+ "model.vision_tower.vision_tower.encoder.layer.24.output.dense.weight": "model-00001-of-00002.safetensors",
522
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.key.bias": "model-00001-of-00002.safetensors",
523
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.key.weight": "model-00001-of-00002.safetensors",
524
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.query.bias": "model-00001-of-00002.safetensors",
525
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.query.weight": "model-00001-of-00002.safetensors",
526
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.value.bias": "model-00001-of-00002.safetensors",
527
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.attention.value.weight": "model-00001-of-00002.safetensors",
528
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.output.dense.bias": "model-00001-of-00002.safetensors",
529
+ "model.vision_tower.vision_tower.encoder.layer.25.attention.output.dense.weight": "model-00001-of-00002.safetensors",
530
+ "model.vision_tower.vision_tower.encoder.layer.25.intermediate.dense.bias": "model-00001-of-00002.safetensors",
531
+ "model.vision_tower.vision_tower.encoder.layer.25.intermediate.dense.weight": "model-00001-of-00002.safetensors",
532
+ "model.vision_tower.vision_tower.encoder.layer.25.layernorm_after.bias": "model-00001-of-00002.safetensors",
533
+ "model.vision_tower.vision_tower.encoder.layer.25.layernorm_after.weight": "model-00001-of-00002.safetensors",
534
+ "model.vision_tower.vision_tower.encoder.layer.25.layernorm_before.bias": "model-00001-of-00002.safetensors",
535
+ "model.vision_tower.vision_tower.encoder.layer.25.layernorm_before.weight": "model-00001-of-00002.safetensors",
536
+ "model.vision_tower.vision_tower.encoder.layer.25.output.dense.bias": "model-00001-of-00002.safetensors",
537
+ "model.vision_tower.vision_tower.encoder.layer.25.output.dense.weight": "model-00001-of-00002.safetensors",
538
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.key.bias": "model-00001-of-00002.safetensors",
539
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.key.weight": "model-00001-of-00002.safetensors",
540
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.query.bias": "model-00001-of-00002.safetensors",
541
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.query.weight": "model-00001-of-00002.safetensors",
542
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.value.bias": "model-00001-of-00002.safetensors",
543
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.attention.value.weight": "model-00001-of-00002.safetensors",
544
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.output.dense.bias": "model-00001-of-00002.safetensors",
545
+ "model.vision_tower.vision_tower.encoder.layer.26.attention.output.dense.weight": "model-00001-of-00002.safetensors",
546
+ "model.vision_tower.vision_tower.encoder.layer.26.intermediate.dense.bias": "model-00001-of-00002.safetensors",
547
+ "model.vision_tower.vision_tower.encoder.layer.26.intermediate.dense.weight": "model-00001-of-00002.safetensors",
548
+ "model.vision_tower.vision_tower.encoder.layer.26.layernorm_after.bias": "model-00001-of-00002.safetensors",
549
+ "model.vision_tower.vision_tower.encoder.layer.26.layernorm_after.weight": "model-00001-of-00002.safetensors",
550
+ "model.vision_tower.vision_tower.encoder.layer.26.layernorm_before.bias": "model-00001-of-00002.safetensors",
551
+ "model.vision_tower.vision_tower.encoder.layer.26.layernorm_before.weight": "model-00001-of-00002.safetensors",
552
+ "model.vision_tower.vision_tower.encoder.layer.26.output.dense.bias": "model-00001-of-00002.safetensors",
553
+ "model.vision_tower.vision_tower.encoder.layer.26.output.dense.weight": "model-00001-of-00002.safetensors",
554
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.key.bias": "model-00001-of-00002.safetensors",
555
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.key.weight": "model-00001-of-00002.safetensors",
556
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.query.bias": "model-00001-of-00002.safetensors",
557
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.query.weight": "model-00001-of-00002.safetensors",
558
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.value.bias": "model-00001-of-00002.safetensors",
559
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.attention.value.weight": "model-00001-of-00002.safetensors",
560
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.output.dense.bias": "model-00001-of-00002.safetensors",
561
+ "model.vision_tower.vision_tower.encoder.layer.27.attention.output.dense.weight": "model-00001-of-00002.safetensors",
562
+ "model.vision_tower.vision_tower.encoder.layer.27.intermediate.dense.bias": "model-00001-of-00002.safetensors",
563
+ "model.vision_tower.vision_tower.encoder.layer.27.intermediate.dense.weight": "model-00001-of-00002.safetensors",
564
+ "model.vision_tower.vision_tower.encoder.layer.27.layernorm_after.bias": "model-00002-of-00002.safetensors",
565
+ "model.vision_tower.vision_tower.encoder.layer.27.layernorm_after.weight": "model-00002-of-00002.safetensors",
566
+ "model.vision_tower.vision_tower.encoder.layer.27.layernorm_before.bias": "model-00002-of-00002.safetensors",
567
+ "model.vision_tower.vision_tower.encoder.layer.27.layernorm_before.weight": "model-00002-of-00002.safetensors",
568
+ "model.vision_tower.vision_tower.encoder.layer.27.output.dense.bias": "model-00002-of-00002.safetensors",
569
+ "model.vision_tower.vision_tower.encoder.layer.27.output.dense.weight": "model-00002-of-00002.safetensors",
570
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.key.bias": "model-00002-of-00002.safetensors",
571
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.key.weight": "model-00002-of-00002.safetensors",
572
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.query.bias": "model-00002-of-00002.safetensors",
573
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.query.weight": "model-00002-of-00002.safetensors",
574
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.value.bias": "model-00002-of-00002.safetensors",
575
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.attention.value.weight": "model-00002-of-00002.safetensors",
576
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.output.dense.bias": "model-00002-of-00002.safetensors",
577
+ "model.vision_tower.vision_tower.encoder.layer.28.attention.output.dense.weight": "model-00002-of-00002.safetensors",
578
+ "model.vision_tower.vision_tower.encoder.layer.28.intermediate.dense.bias": "model-00002-of-00002.safetensors",
579
+ "model.vision_tower.vision_tower.encoder.layer.28.intermediate.dense.weight": "model-00002-of-00002.safetensors",
580
+ "model.vision_tower.vision_tower.encoder.layer.28.layernorm_after.bias": "model-00002-of-00002.safetensors",
581
+ "model.vision_tower.vision_tower.encoder.layer.28.layernorm_after.weight": "model-00002-of-00002.safetensors",
582
+ "model.vision_tower.vision_tower.encoder.layer.28.layernorm_before.bias": "model-00002-of-00002.safetensors",
583
+ "model.vision_tower.vision_tower.encoder.layer.28.layernorm_before.weight": "model-00002-of-00002.safetensors",
584
+ "model.vision_tower.vision_tower.encoder.layer.28.output.dense.bias": "model-00002-of-00002.safetensors",
585
+ "model.vision_tower.vision_tower.encoder.layer.28.output.dense.weight": "model-00002-of-00002.safetensors",
586
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.key.bias": "model-00002-of-00002.safetensors",
587
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.key.weight": "model-00002-of-00002.safetensors",
588
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.query.bias": "model-00002-of-00002.safetensors",
589
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.query.weight": "model-00002-of-00002.safetensors",
590
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.value.bias": "model-00002-of-00002.safetensors",
591
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.attention.value.weight": "model-00002-of-00002.safetensors",
592
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.output.dense.bias": "model-00002-of-00002.safetensors",
593
+ "model.vision_tower.vision_tower.encoder.layer.29.attention.output.dense.weight": "model-00002-of-00002.safetensors",
594
+ "model.vision_tower.vision_tower.encoder.layer.29.intermediate.dense.bias": "model-00002-of-00002.safetensors",
595
+ "model.vision_tower.vision_tower.encoder.layer.29.intermediate.dense.weight": "model-00002-of-00002.safetensors",
596
+ "model.vision_tower.vision_tower.encoder.layer.29.layernorm_after.bias": "model-00002-of-00002.safetensors",
597
+ "model.vision_tower.vision_tower.encoder.layer.29.layernorm_after.weight": "model-00002-of-00002.safetensors",
598
+ "model.vision_tower.vision_tower.encoder.layer.29.layernorm_before.bias": "model-00002-of-00002.safetensors",
599
+ "model.vision_tower.vision_tower.encoder.layer.29.layernorm_before.weight": "model-00002-of-00002.safetensors",
600
+ "model.vision_tower.vision_tower.encoder.layer.29.output.dense.bias": "model-00002-of-00002.safetensors",
601
+ "model.vision_tower.vision_tower.encoder.layer.29.output.dense.weight": "model-00002-of-00002.safetensors",
602
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.key.bias": "model-00001-of-00002.safetensors",
603
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.key.weight": "model-00001-of-00002.safetensors",
604
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.query.bias": "model-00001-of-00002.safetensors",
605
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.query.weight": "model-00001-of-00002.safetensors",
606
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.value.bias": "model-00001-of-00002.safetensors",
607
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.attention.value.weight": "model-00001-of-00002.safetensors",
608
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.output.dense.bias": "model-00001-of-00002.safetensors",
609
+ "model.vision_tower.vision_tower.encoder.layer.3.attention.output.dense.weight": "model-00001-of-00002.safetensors",
610
+ "model.vision_tower.vision_tower.encoder.layer.3.intermediate.dense.bias": "model-00001-of-00002.safetensors",
611
+ "model.vision_tower.vision_tower.encoder.layer.3.intermediate.dense.weight": "model-00001-of-00002.safetensors",
612
+ "model.vision_tower.vision_tower.encoder.layer.3.layernorm_after.bias": "model-00001-of-00002.safetensors",
613
+ "model.vision_tower.vision_tower.encoder.layer.3.layernorm_after.weight": "model-00001-of-00002.safetensors",
614
+ "model.vision_tower.vision_tower.encoder.layer.3.layernorm_before.bias": "model-00001-of-00002.safetensors",
615
+ "model.vision_tower.vision_tower.encoder.layer.3.layernorm_before.weight": "model-00001-of-00002.safetensors",
616
+ "model.vision_tower.vision_tower.encoder.layer.3.output.dense.bias": "model-00001-of-00002.safetensors",
617
+ "model.vision_tower.vision_tower.encoder.layer.3.output.dense.weight": "model-00001-of-00002.safetensors",
618
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.key.bias": "model-00002-of-00002.safetensors",
619
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.key.weight": "model-00002-of-00002.safetensors",
620
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.query.bias": "model-00002-of-00002.safetensors",
621
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.query.weight": "model-00002-of-00002.safetensors",
622
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.value.bias": "model-00002-of-00002.safetensors",
623
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.attention.value.weight": "model-00002-of-00002.safetensors",
624
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.output.dense.bias": "model-00002-of-00002.safetensors",
625
+ "model.vision_tower.vision_tower.encoder.layer.30.attention.output.dense.weight": "model-00002-of-00002.safetensors",
626
+ "model.vision_tower.vision_tower.encoder.layer.30.intermediate.dense.bias": "model-00002-of-00002.safetensors",
627
+ "model.vision_tower.vision_tower.encoder.layer.30.intermediate.dense.weight": "model-00002-of-00002.safetensors",
628
+ "model.vision_tower.vision_tower.encoder.layer.30.layernorm_after.bias": "model-00002-of-00002.safetensors",
629
+ "model.vision_tower.vision_tower.encoder.layer.30.layernorm_after.weight": "model-00002-of-00002.safetensors",
630
+ "model.vision_tower.vision_tower.encoder.layer.30.layernorm_before.bias": "model-00002-of-00002.safetensors",
631
+ "model.vision_tower.vision_tower.encoder.layer.30.layernorm_before.weight": "model-00002-of-00002.safetensors",
632
+ "model.vision_tower.vision_tower.encoder.layer.30.output.dense.bias": "model-00002-of-00002.safetensors",
633
+ "model.vision_tower.vision_tower.encoder.layer.30.output.dense.weight": "model-00002-of-00002.safetensors",
634
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.key.bias": "model-00002-of-00002.safetensors",
635
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.key.weight": "model-00002-of-00002.safetensors",
636
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.query.bias": "model-00002-of-00002.safetensors",
637
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.query.weight": "model-00002-of-00002.safetensors",
638
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.value.bias": "model-00002-of-00002.safetensors",
639
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.attention.value.weight": "model-00002-of-00002.safetensors",
640
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.output.dense.bias": "model-00002-of-00002.safetensors",
641
+ "model.vision_tower.vision_tower.encoder.layer.31.attention.output.dense.weight": "model-00002-of-00002.safetensors",
642
+ "model.vision_tower.vision_tower.encoder.layer.31.intermediate.dense.bias": "model-00002-of-00002.safetensors",
643
+ "model.vision_tower.vision_tower.encoder.layer.31.intermediate.dense.weight": "model-00002-of-00002.safetensors",
644
+ "model.vision_tower.vision_tower.encoder.layer.31.layernorm_after.bias": "model-00002-of-00002.safetensors",
645
+ "model.vision_tower.vision_tower.encoder.layer.31.layernorm_after.weight": "model-00002-of-00002.safetensors",
646
+ "model.vision_tower.vision_tower.encoder.layer.31.layernorm_before.bias": "model-00002-of-00002.safetensors",
647
+ "model.vision_tower.vision_tower.encoder.layer.31.layernorm_before.weight": "model-00002-of-00002.safetensors",
648
+ "model.vision_tower.vision_tower.encoder.layer.31.output.dense.bias": "model-00002-of-00002.safetensors",
649
+ "model.vision_tower.vision_tower.encoder.layer.31.output.dense.weight": "model-00002-of-00002.safetensors",
650
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.key.bias": "model-00002-of-00002.safetensors",
651
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.key.weight": "model-00002-of-00002.safetensors",
652
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.query.bias": "model-00002-of-00002.safetensors",
653
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.query.weight": "model-00002-of-00002.safetensors",
654
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.value.bias": "model-00002-of-00002.safetensors",
655
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.attention.value.weight": "model-00002-of-00002.safetensors",
656
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.output.dense.bias": "model-00002-of-00002.safetensors",
657
+ "model.vision_tower.vision_tower.encoder.layer.32.attention.output.dense.weight": "model-00002-of-00002.safetensors",
658
+ "model.vision_tower.vision_tower.encoder.layer.32.intermediate.dense.bias": "model-00002-of-00002.safetensors",
659
+ "model.vision_tower.vision_tower.encoder.layer.32.intermediate.dense.weight": "model-00002-of-00002.safetensors",
660
+ "model.vision_tower.vision_tower.encoder.layer.32.layernorm_after.bias": "model-00002-of-00002.safetensors",
661
+ "model.vision_tower.vision_tower.encoder.layer.32.layernorm_after.weight": "model-00002-of-00002.safetensors",
662
+ "model.vision_tower.vision_tower.encoder.layer.32.layernorm_before.bias": "model-00002-of-00002.safetensors",
663
+ "model.vision_tower.vision_tower.encoder.layer.32.layernorm_before.weight": "model-00002-of-00002.safetensors",
664
+ "model.vision_tower.vision_tower.encoder.layer.32.output.dense.bias": "model-00002-of-00002.safetensors",
665
+ "model.vision_tower.vision_tower.encoder.layer.32.output.dense.weight": "model-00002-of-00002.safetensors",
666
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.key.bias": "model-00002-of-00002.safetensors",
667
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.key.weight": "model-00002-of-00002.safetensors",
668
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.query.bias": "model-00002-of-00002.safetensors",
669
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.query.weight": "model-00002-of-00002.safetensors",
670
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.value.bias": "model-00002-of-00002.safetensors",
671
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.attention.value.weight": "model-00002-of-00002.safetensors",
672
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.output.dense.bias": "model-00002-of-00002.safetensors",
673
+ "model.vision_tower.vision_tower.encoder.layer.33.attention.output.dense.weight": "model-00002-of-00002.safetensors",
674
+ "model.vision_tower.vision_tower.encoder.layer.33.intermediate.dense.bias": "model-00002-of-00002.safetensors",
675
+ "model.vision_tower.vision_tower.encoder.layer.33.intermediate.dense.weight": "model-00002-of-00002.safetensors",
676
+ "model.vision_tower.vision_tower.encoder.layer.33.layernorm_after.bias": "model-00002-of-00002.safetensors",
677
+ "model.vision_tower.vision_tower.encoder.layer.33.layernorm_after.weight": "model-00002-of-00002.safetensors",
678
+ "model.vision_tower.vision_tower.encoder.layer.33.layernorm_before.bias": "model-00002-of-00002.safetensors",
679
+ "model.vision_tower.vision_tower.encoder.layer.33.layernorm_before.weight": "model-00002-of-00002.safetensors",
680
+ "model.vision_tower.vision_tower.encoder.layer.33.output.dense.bias": "model-00002-of-00002.safetensors",
681
+ "model.vision_tower.vision_tower.encoder.layer.33.output.dense.weight": "model-00002-of-00002.safetensors",
682
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.key.bias": "model-00002-of-00002.safetensors",
683
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.key.weight": "model-00002-of-00002.safetensors",
684
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.query.bias": "model-00002-of-00002.safetensors",
685
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.query.weight": "model-00002-of-00002.safetensors",
686
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.value.bias": "model-00002-of-00002.safetensors",
687
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.attention.value.weight": "model-00002-of-00002.safetensors",
688
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.output.dense.bias": "model-00002-of-00002.safetensors",
689
+ "model.vision_tower.vision_tower.encoder.layer.34.attention.output.dense.weight": "model-00002-of-00002.safetensors",
690
+ "model.vision_tower.vision_tower.encoder.layer.34.intermediate.dense.bias": "model-00002-of-00002.safetensors",
691
+ "model.vision_tower.vision_tower.encoder.layer.34.intermediate.dense.weight": "model-00002-of-00002.safetensors",
692
+ "model.vision_tower.vision_tower.encoder.layer.34.layernorm_after.bias": "model-00002-of-00002.safetensors",
693
+ "model.vision_tower.vision_tower.encoder.layer.34.layernorm_after.weight": "model-00002-of-00002.safetensors",
694
+ "model.vision_tower.vision_tower.encoder.layer.34.layernorm_before.bias": "model-00002-of-00002.safetensors",
695
+ "model.vision_tower.vision_tower.encoder.layer.34.layernorm_before.weight": "model-00002-of-00002.safetensors",
696
+ "model.vision_tower.vision_tower.encoder.layer.34.output.dense.bias": "model-00002-of-00002.safetensors",
697
+ "model.vision_tower.vision_tower.encoder.layer.34.output.dense.weight": "model-00002-of-00002.safetensors",
698
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.key.bias": "model-00002-of-00002.safetensors",
699
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.key.weight": "model-00002-of-00002.safetensors",
700
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.query.bias": "model-00002-of-00002.safetensors",
701
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.query.weight": "model-00002-of-00002.safetensors",
702
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.value.bias": "model-00002-of-00002.safetensors",
703
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.attention.value.weight": "model-00002-of-00002.safetensors",
704
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.output.dense.bias": "model-00002-of-00002.safetensors",
705
+ "model.vision_tower.vision_tower.encoder.layer.35.attention.output.dense.weight": "model-00002-of-00002.safetensors",
706
+ "model.vision_tower.vision_tower.encoder.layer.35.intermediate.dense.bias": "model-00002-of-00002.safetensors",
707
+ "model.vision_tower.vision_tower.encoder.layer.35.intermediate.dense.weight": "model-00002-of-00002.safetensors",
708
+ "model.vision_tower.vision_tower.encoder.layer.35.layernorm_after.bias": "model-00002-of-00002.safetensors",
709
+ "model.vision_tower.vision_tower.encoder.layer.35.layernorm_after.weight": "model-00002-of-00002.safetensors",
710
+ "model.vision_tower.vision_tower.encoder.layer.35.layernorm_before.bias": "model-00002-of-00002.safetensors",
711
+ "model.vision_tower.vision_tower.encoder.layer.35.layernorm_before.weight": "model-00002-of-00002.safetensors",
712
+ "model.vision_tower.vision_tower.encoder.layer.35.output.dense.bias": "model-00002-of-00002.safetensors",
713
+ "model.vision_tower.vision_tower.encoder.layer.35.output.dense.weight": "model-00002-of-00002.safetensors",
714
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.key.bias": "model-00002-of-00002.safetensors",
715
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.key.weight": "model-00002-of-00002.safetensors",
716
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.query.bias": "model-00002-of-00002.safetensors",
717
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.query.weight": "model-00002-of-00002.safetensors",
718
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.value.bias": "model-00002-of-00002.safetensors",
719
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.attention.value.weight": "model-00002-of-00002.safetensors",
720
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.output.dense.bias": "model-00002-of-00002.safetensors",
721
+ "model.vision_tower.vision_tower.encoder.layer.36.attention.output.dense.weight": "model-00002-of-00002.safetensors",
722
+ "model.vision_tower.vision_tower.encoder.layer.36.intermediate.dense.bias": "model-00002-of-00002.safetensors",
723
+ "model.vision_tower.vision_tower.encoder.layer.36.intermediate.dense.weight": "model-00002-of-00002.safetensors",
724
+ "model.vision_tower.vision_tower.encoder.layer.36.layernorm_after.bias": "model-00002-of-00002.safetensors",
725
+ "model.vision_tower.vision_tower.encoder.layer.36.layernorm_after.weight": "model-00002-of-00002.safetensors",
726
+ "model.vision_tower.vision_tower.encoder.layer.36.layernorm_before.bias": "model-00002-of-00002.safetensors",
727
+ "model.vision_tower.vision_tower.encoder.layer.36.layernorm_before.weight": "model-00002-of-00002.safetensors",
728
+ "model.vision_tower.vision_tower.encoder.layer.36.output.dense.bias": "model-00002-of-00002.safetensors",
729
+ "model.vision_tower.vision_tower.encoder.layer.36.output.dense.weight": "model-00002-of-00002.safetensors",
730
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.key.bias": "model-00002-of-00002.safetensors",
731
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.key.weight": "model-00002-of-00002.safetensors",
732
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.query.bias": "model-00002-of-00002.safetensors",
733
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.query.weight": "model-00002-of-00002.safetensors",
734
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.value.bias": "model-00002-of-00002.safetensors",
735
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.attention.value.weight": "model-00002-of-00002.safetensors",
736
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.output.dense.bias": "model-00002-of-00002.safetensors",
737
+ "model.vision_tower.vision_tower.encoder.layer.37.attention.output.dense.weight": "model-00002-of-00002.safetensors",
738
+ "model.vision_tower.vision_tower.encoder.layer.37.intermediate.dense.bias": "model-00002-of-00002.safetensors",
739
+ "model.vision_tower.vision_tower.encoder.layer.37.intermediate.dense.weight": "model-00002-of-00002.safetensors",
740
+ "model.vision_tower.vision_tower.encoder.layer.37.layernorm_after.bias": "model-00002-of-00002.safetensors",
741
+ "model.vision_tower.vision_tower.encoder.layer.37.layernorm_after.weight": "model-00002-of-00002.safetensors",
742
+ "model.vision_tower.vision_tower.encoder.layer.37.layernorm_before.bias": "model-00002-of-00002.safetensors",
743
+ "model.vision_tower.vision_tower.encoder.layer.37.layernorm_before.weight": "model-00002-of-00002.safetensors",
744
+ "model.vision_tower.vision_tower.encoder.layer.37.output.dense.bias": "model-00002-of-00002.safetensors",
745
+ "model.vision_tower.vision_tower.encoder.layer.37.output.dense.weight": "model-00002-of-00002.safetensors",
746
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.key.bias": "model-00002-of-00002.safetensors",
747
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.key.weight": "model-00002-of-00002.safetensors",
748
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.query.bias": "model-00002-of-00002.safetensors",
749
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.query.weight": "model-00002-of-00002.safetensors",
750
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.value.bias": "model-00002-of-00002.safetensors",
751
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.attention.value.weight": "model-00002-of-00002.safetensors",
752
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.output.dense.bias": "model-00002-of-00002.safetensors",
753
+ "model.vision_tower.vision_tower.encoder.layer.38.attention.output.dense.weight": "model-00002-of-00002.safetensors",
754
+ "model.vision_tower.vision_tower.encoder.layer.38.intermediate.dense.bias": "model-00002-of-00002.safetensors",
755
+ "model.vision_tower.vision_tower.encoder.layer.38.intermediate.dense.weight": "model-00002-of-00002.safetensors",
756
+ "model.vision_tower.vision_tower.encoder.layer.38.layernorm_after.bias": "model-00002-of-00002.safetensors",
757
+ "model.vision_tower.vision_tower.encoder.layer.38.layernorm_after.weight": "model-00002-of-00002.safetensors",
758
+ "model.vision_tower.vision_tower.encoder.layer.38.layernorm_before.bias": "model-00002-of-00002.safetensors",
759
+ "model.vision_tower.vision_tower.encoder.layer.38.layernorm_before.weight": "model-00002-of-00002.safetensors",
760
+ "model.vision_tower.vision_tower.encoder.layer.38.output.dense.bias": "model-00002-of-00002.safetensors",
761
+ "model.vision_tower.vision_tower.encoder.layer.38.output.dense.weight": "model-00002-of-00002.safetensors",
762
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.key.bias": "model-00002-of-00002.safetensors",
763
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.key.weight": "model-00002-of-00002.safetensors",
764
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.query.bias": "model-00002-of-00002.safetensors",
765
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.query.weight": "model-00002-of-00002.safetensors",
766
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.value.bias": "model-00002-of-00002.safetensors",
767
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.attention.value.weight": "model-00002-of-00002.safetensors",
768
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.output.dense.bias": "model-00002-of-00002.safetensors",
769
+ "model.vision_tower.vision_tower.encoder.layer.39.attention.output.dense.weight": "model-00002-of-00002.safetensors",
770
+ "model.vision_tower.vision_tower.encoder.layer.39.intermediate.dense.bias": "model-00002-of-00002.safetensors",
771
+ "model.vision_tower.vision_tower.encoder.layer.39.intermediate.dense.weight": "model-00002-of-00002.safetensors",
772
+ "model.vision_tower.vision_tower.encoder.layer.39.layernorm_after.bias": "model-00002-of-00002.safetensors",
773
+ "model.vision_tower.vision_tower.encoder.layer.39.layernorm_after.weight": "model-00002-of-00002.safetensors",
774
+ "model.vision_tower.vision_tower.encoder.layer.39.layernorm_before.bias": "model-00002-of-00002.safetensors",
775
+ "model.vision_tower.vision_tower.encoder.layer.39.layernorm_before.weight": "model-00002-of-00002.safetensors",
776
+ "model.vision_tower.vision_tower.encoder.layer.39.output.dense.bias": "model-00002-of-00002.safetensors",
777
+ "model.vision_tower.vision_tower.encoder.layer.39.output.dense.weight": "model-00002-of-00002.safetensors",
778
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.key.bias": "model-00001-of-00002.safetensors",
779
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.key.weight": "model-00001-of-00002.safetensors",
780
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.query.bias": "model-00001-of-00002.safetensors",
781
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.query.weight": "model-00001-of-00002.safetensors",
782
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.value.bias": "model-00001-of-00002.safetensors",
783
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.attention.value.weight": "model-00001-of-00002.safetensors",
784
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.output.dense.bias": "model-00001-of-00002.safetensors",
785
+ "model.vision_tower.vision_tower.encoder.layer.4.attention.output.dense.weight": "model-00001-of-00002.safetensors",
786
+ "model.vision_tower.vision_tower.encoder.layer.4.intermediate.dense.bias": "model-00001-of-00002.safetensors",
787
+ "model.vision_tower.vision_tower.encoder.layer.4.intermediate.dense.weight": "model-00001-of-00002.safetensors",
788
+ "model.vision_tower.vision_tower.encoder.layer.4.layernorm_after.bias": "model-00001-of-00002.safetensors",
789
+ "model.vision_tower.vision_tower.encoder.layer.4.layernorm_after.weight": "model-00001-of-00002.safetensors",
790
+ "model.vision_tower.vision_tower.encoder.layer.4.layernorm_before.bias": "model-00001-of-00002.safetensors",
791
+ "model.vision_tower.vision_tower.encoder.layer.4.layernorm_before.weight": "model-00001-of-00002.safetensors",
792
+ "model.vision_tower.vision_tower.encoder.layer.4.output.dense.bias": "model-00001-of-00002.safetensors",
793
+ "model.vision_tower.vision_tower.encoder.layer.4.output.dense.weight": "model-00001-of-00002.safetensors",
794
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.key.bias": "model-00001-of-00002.safetensors",
795
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.key.weight": "model-00001-of-00002.safetensors",
796
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.query.bias": "model-00001-of-00002.safetensors",
797
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.query.weight": "model-00001-of-00002.safetensors",
798
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.value.bias": "model-00001-of-00002.safetensors",
799
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.attention.value.weight": "model-00001-of-00002.safetensors",
800
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.output.dense.bias": "model-00001-of-00002.safetensors",
801
+ "model.vision_tower.vision_tower.encoder.layer.5.attention.output.dense.weight": "model-00001-of-00002.safetensors",
802
+ "model.vision_tower.vision_tower.encoder.layer.5.intermediate.dense.bias": "model-00001-of-00002.safetensors",
803
+ "model.vision_tower.vision_tower.encoder.layer.5.intermediate.dense.weight": "model-00001-of-00002.safetensors",
804
+ "model.vision_tower.vision_tower.encoder.layer.5.layernorm_after.bias": "model-00001-of-00002.safetensors",
805
+ "model.vision_tower.vision_tower.encoder.layer.5.layernorm_after.weight": "model-00001-of-00002.safetensors",
806
+ "model.vision_tower.vision_tower.encoder.layer.5.layernorm_before.bias": "model-00001-of-00002.safetensors",
807
+ "model.vision_tower.vision_tower.encoder.layer.5.layernorm_before.weight": "model-00001-of-00002.safetensors",
808
+ "model.vision_tower.vision_tower.encoder.layer.5.output.dense.bias": "model-00001-of-00002.safetensors",
809
+ "model.vision_tower.vision_tower.encoder.layer.5.output.dense.weight": "model-00001-of-00002.safetensors",
810
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.key.bias": "model-00001-of-00002.safetensors",
811
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.key.weight": "model-00001-of-00002.safetensors",
812
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.query.bias": "model-00001-of-00002.safetensors",
813
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.query.weight": "model-00001-of-00002.safetensors",
814
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.value.bias": "model-00001-of-00002.safetensors",
815
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.attention.value.weight": "model-00001-of-00002.safetensors",
816
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.output.dense.bias": "model-00001-of-00002.safetensors",
817
+ "model.vision_tower.vision_tower.encoder.layer.6.attention.output.dense.weight": "model-00001-of-00002.safetensors",
818
+ "model.vision_tower.vision_tower.encoder.layer.6.intermediate.dense.bias": "model-00001-of-00002.safetensors",
819
+ "model.vision_tower.vision_tower.encoder.layer.6.intermediate.dense.weight": "model-00001-of-00002.safetensors",
820
+ "model.vision_tower.vision_tower.encoder.layer.6.layernorm_after.bias": "model-00001-of-00002.safetensors",
821
+ "model.vision_tower.vision_tower.encoder.layer.6.layernorm_after.weight": "model-00001-of-00002.safetensors",
822
+ "model.vision_tower.vision_tower.encoder.layer.6.layernorm_before.bias": "model-00001-of-00002.safetensors",
823
+ "model.vision_tower.vision_tower.encoder.layer.6.layernorm_before.weight": "model-00001-of-00002.safetensors",
824
+ "model.vision_tower.vision_tower.encoder.layer.6.output.dense.bias": "model-00001-of-00002.safetensors",
825
+ "model.vision_tower.vision_tower.encoder.layer.6.output.dense.weight": "model-00001-of-00002.safetensors",
826
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.key.bias": "model-00001-of-00002.safetensors",
827
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.key.weight": "model-00001-of-00002.safetensors",
828
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.query.bias": "model-00001-of-00002.safetensors",
829
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.query.weight": "model-00001-of-00002.safetensors",
830
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.value.bias": "model-00001-of-00002.safetensors",
831
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.attention.value.weight": "model-00001-of-00002.safetensors",
832
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.output.dense.bias": "model-00001-of-00002.safetensors",
833
+ "model.vision_tower.vision_tower.encoder.layer.7.attention.output.dense.weight": "model-00001-of-00002.safetensors",
834
+ "model.vision_tower.vision_tower.encoder.layer.7.intermediate.dense.bias": "model-00001-of-00002.safetensors",
835
+ "model.vision_tower.vision_tower.encoder.layer.7.intermediate.dense.weight": "model-00001-of-00002.safetensors",
836
+ "model.vision_tower.vision_tower.encoder.layer.7.layernorm_after.bias": "model-00001-of-00002.safetensors",
837
+ "model.vision_tower.vision_tower.encoder.layer.7.layernorm_after.weight": "model-00001-of-00002.safetensors",
838
+ "model.vision_tower.vision_tower.encoder.layer.7.layernorm_before.bias": "model-00001-of-00002.safetensors",
839
+ "model.vision_tower.vision_tower.encoder.layer.7.layernorm_before.weight": "model-00001-of-00002.safetensors",
840
+ "model.vision_tower.vision_tower.encoder.layer.7.output.dense.bias": "model-00001-of-00002.safetensors",
841
+ "model.vision_tower.vision_tower.encoder.layer.7.output.dense.weight": "model-00001-of-00002.safetensors",
842
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.key.bias": "model-00001-of-00002.safetensors",
843
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.key.weight": "model-00001-of-00002.safetensors",
844
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.query.bias": "model-00001-of-00002.safetensors",
845
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.query.weight": "model-00001-of-00002.safetensors",
846
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.value.bias": "model-00001-of-00002.safetensors",
847
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.attention.value.weight": "model-00001-of-00002.safetensors",
848
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.output.dense.bias": "model-00001-of-00002.safetensors",
849
+ "model.vision_tower.vision_tower.encoder.layer.8.attention.output.dense.weight": "model-00001-of-00002.safetensors",
850
+ "model.vision_tower.vision_tower.encoder.layer.8.intermediate.dense.bias": "model-00001-of-00002.safetensors",
851
+ "model.vision_tower.vision_tower.encoder.layer.8.intermediate.dense.weight": "model-00001-of-00002.safetensors",
852
+ "model.vision_tower.vision_tower.encoder.layer.8.layernorm_after.bias": "model-00001-of-00002.safetensors",
853
+ "model.vision_tower.vision_tower.encoder.layer.8.layernorm_after.weight": "model-00001-of-00002.safetensors",
854
+ "model.vision_tower.vision_tower.encoder.layer.8.layernorm_before.bias": "model-00001-of-00002.safetensors",
855
+ "model.vision_tower.vision_tower.encoder.layer.8.layernorm_before.weight": "model-00001-of-00002.safetensors",
856
+ "model.vision_tower.vision_tower.encoder.layer.8.output.dense.bias": "model-00001-of-00002.safetensors",
857
+ "model.vision_tower.vision_tower.encoder.layer.8.output.dense.weight": "model-00001-of-00002.safetensors",
858
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.key.bias": "model-00001-of-00002.safetensors",
859
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.key.weight": "model-00001-of-00002.safetensors",
860
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.query.bias": "model-00001-of-00002.safetensors",
861
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.query.weight": "model-00001-of-00002.safetensors",
862
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.value.bias": "model-00001-of-00002.safetensors",
863
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.attention.value.weight": "model-00001-of-00002.safetensors",
864
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.output.dense.bias": "model-00001-of-00002.safetensors",
865
+ "model.vision_tower.vision_tower.encoder.layer.9.attention.output.dense.weight": "model-00001-of-00002.safetensors",
866
+ "model.vision_tower.vision_tower.encoder.layer.9.intermediate.dense.bias": "model-00001-of-00002.safetensors",
867
+ "model.vision_tower.vision_tower.encoder.layer.9.intermediate.dense.weight": "model-00001-of-00002.safetensors",
868
+ "model.vision_tower.vision_tower.encoder.layer.9.layernorm_after.bias": "model-00001-of-00002.safetensors",
869
+ "model.vision_tower.vision_tower.encoder.layer.9.layernorm_after.weight": "model-00001-of-00002.safetensors",
870
+ "model.vision_tower.vision_tower.encoder.layer.9.layernorm_before.bias": "model-00001-of-00002.safetensors",
871
+ "model.vision_tower.vision_tower.encoder.layer.9.layernorm_before.weight": "model-00001-of-00002.safetensors",
872
+ "model.vision_tower.vision_tower.encoder.layer.9.output.dense.bias": "model-00001-of-00002.safetensors",
873
+ "model.vision_tower.vision_tower.encoder.layer.9.output.dense.weight": "model-00001-of-00002.safetensors",
874
+ "model.vision_tower.vision_tower.layernorm.bias": "model-00002-of-00002.safetensors",
875
+ "model.vision_tower.vision_tower.layernorm.weight": "model-00002-of-00002.safetensors",
876
+ "model.vision_tower.vision_tower.pooler.dense.bias": "model-00002-of-00002.safetensors",
877
+ "model.vision_tower.vision_tower.pooler.dense.weight": "model-00002-of-00002.safetensors"
878
+ }
879
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae1b_full2b_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
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": 0.003850596842510589,
14
+ "grad_norm": 2.8468148708343506,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2255,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.1306209564208984,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1431,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.0805108547210693,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.0592,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.3975688219070435,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.0175,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3737074136734009,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9994,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.32066357135772705,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.9243,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.2596486210823059,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8767,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.24903124570846558,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.887,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.22882354259490967,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8718,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.21190734207630157,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.84,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.2222384363412857,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8297,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.2265671193599701,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.849,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.22575761377811432,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8263,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.23046401143074036,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8386,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.2509758174419403,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8167,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.2236732840538025,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8214,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.20413415133953094,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8212,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.22238512337207794,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8551,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.23155397176742554,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8423,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.24704472720623016,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8409,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.22274954617023468,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8261,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.22320061922073364,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.819,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.22787252068519592,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8129,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.2141425460577011,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8067,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.20911435782909393,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8245,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.20520664751529694,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8238,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.20591966807842255,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.8047,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.2001739740371704,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8037,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.2108594924211502,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8339,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.22630514204502106,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7914,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.20126600563526154,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7971,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.24300606548786163,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.8056,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.2103230059146881,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.8091,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.20442284643650055,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8099,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.24754616618156433,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8172,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.26217585802078247,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7965,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.2312014400959015,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8255,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.2338801771402359,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7902,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.2136513888835907,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7938,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.21599580347537994,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.8026,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.2260614037513733,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.799,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.2215307205915451,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.8125,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.2308000922203064,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7918,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.22776158154010773,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.8022,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.2371487021446228,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7858,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.24640676379203796,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.795,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.23318250477313995,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.7988,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.24727997183799744,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7984,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.20307829976081848,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7902,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.19661548733711243,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7921,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.23635590076446533,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7842,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.25400856137275696,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.8085,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.25138556957244873,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7907,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.23646801710128784,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.8003,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.27683761715888977,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.8045,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.21233612298965454,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8096,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.2502448856830597,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8269,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2579082250595093,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7899,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.2357991486787796,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.8085,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.22110234200954437,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.8063,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.25116410851478577,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8229,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.2095479667186737,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.8005,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.25354546308517456,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.813,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.21686866879463196,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.8077,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.2210106998682022,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7699,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.27490314841270447,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7983,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.22292689979076385,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.8035,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.2531745731830597,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7882,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.21008700132369995,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7982,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.22192829847335815,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.8098,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.21810579299926758,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7893,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.2559935450553894,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7909,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.2243410348892212,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.8022,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.2323644757270813,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7877,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.2141411304473877,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.783,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.2367885559797287,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7813,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.21857623755931854,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7997,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.22147710621356964,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7936,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.20294037461280823,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7796,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.2156461775302887,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.8011,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.20514221489429474,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7999,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.2491036057472229,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7989,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.2297607809305191,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7831,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.22131627798080444,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7819,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1952383667230606,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7913,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.21389321982860565,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7849,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.21146881580352783,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7876,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.23086167871952057,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7907,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.22181129455566406,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7835,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.20122453570365906,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7888,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.23742234706878662,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7765,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.222365602850914,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7821,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.2524479031562805,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7644,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.24065794050693512,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7949,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.21106627583503723,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.8115,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.20199936628341675,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.8082,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.2530917823314667,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7786,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.21617966890335083,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7847,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.26216575503349304,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.776,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.2227257639169693,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.784,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.21508412063121796,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.8034,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.2289504110813141,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.8042,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.21158353984355927,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.8003,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.277248352766037,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7889,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.2058485597372055,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7853,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.20738479495048523,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7906,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.23198120296001434,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.782,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.20768007636070251,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.8074,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.2362997978925705,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7883,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.24057388305664062,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.8003,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.22113044559955597,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7951,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.25766488909721375,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7931,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.22556425631046295,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7723,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.22280548512935638,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7974,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.21067291498184204,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7816,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.24735137820243835,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8111,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.2113334685564041,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.8189,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.20752447843551636,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7967,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.2385358363389969,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7763,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.22733336687088013,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7817,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.20488208532333374,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7795,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.20869646966457367,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.8067,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.20157702267169952,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.8001,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.20262156426906586,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7788,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.2189016193151474,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7738,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.26426494121551514,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7854,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.23468239605426788,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7657,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.21967458724975586,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7792,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.2556285560131073,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7925,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.23821352422237396,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7824,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.2026471644639969,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7979,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.24558252096176147,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7727,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.22448225319385529,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7818,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.21260304749011993,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7872,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.22764699161052704,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7823,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.21872763335704803,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.8004,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.23718217015266418,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7939,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.2087608277797699,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.8048,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.2205442488193512,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7817,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.24794715642929077,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7816,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.22617097198963165,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7987,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.23865436017513275,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7849,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.227121502161026,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7971,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.21364498138427734,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7955,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.23610040545463562,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.781,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.22365300357341766,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.785,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.21084871888160706,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.784,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.21612055599689484,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7749,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.2022586613893509,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7861,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.2088070660829544,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7941,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.20395199954509735,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7893,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.2251003086566925,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7981,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.2377869039773941,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7985,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.22972312569618225,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7976,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.23767544329166412,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7868,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.20524664223194122,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.8013,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.22464610636234283,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.803,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.2215327024459839,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.797,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.22007684409618378,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7907,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.21840067207813263,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7866,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.20427870750427246,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7654,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.21983036398887634,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7667,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.2272370606660843,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7923,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.20132261514663696,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7831,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.2294384241104126,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7969,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.20586618781089783,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7724,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.25002989172935486,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7911,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.23146817088127136,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7854,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.21307727694511414,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7798,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.23324774205684662,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7839,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.2105952650308609,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7862,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.2491983324289322,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7796,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.23735208809375763,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7884,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.24397271871566772,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7959,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.19663695991039276,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7869,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.20222339034080505,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7826,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.22000083327293396,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.8157,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.21383987367153168,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7948,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.21021093428134918,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.8092,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.2145695984363556,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.776,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.22775213420391083,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7714,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.2199987918138504,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7946,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.2283315360546112,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7772,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.20141509175300598,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7822,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.2355961948633194,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7967,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.2220049649477005,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7943,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.2300892174243927,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7846,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.20979386568069458,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7968,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.19950246810913086,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7824,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.21992602944374084,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7928,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.21857032179832458,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7931,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.21143482625484467,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7789,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.22282525897026062,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.801,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.21034716069698334,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7967,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.1992741823196411,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7762,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.22958669066429138,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.8059,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.2208956778049469,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7941,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.22012658417224884,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7933,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.2552066147327423,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7798,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.2073410302400589,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7828,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.20402590930461884,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7884,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.21308594942092896,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7722,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.22001121938228607,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7669,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.228388711810112,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7827,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.21807453036308289,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7851,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.19019527733325958,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7717,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.23125287890434265,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7883,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.21540671586990356,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7635,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1919136643409729,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7901,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.20898126065731049,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7851,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.21763575077056885,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7838,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.22243542969226837,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7982,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.22607898712158203,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7803,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.20837867259979248,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7825,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.20559263229370117,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7732,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.22006885707378387,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7936,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.2071574330329895,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7879,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.20808923244476318,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7813,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.24438923597335815,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7853,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.21383114159107208,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7858,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.216257706284523,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7559,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.21377217769622803,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7906,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.22634518146514893,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7839,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.1989559829235077,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7933,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.20628632605075836,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7825,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.2297450453042984,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7642,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.20333047211170197,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7847,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.20554882287979126,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.786,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.2073599100112915,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7948,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.18859340250492096,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7736,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.19656231999397278,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7847,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.19972918927669525,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7889,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.21642574667930603,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.797,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.21202734112739563,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7909,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.21446028351783752,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7678,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.20001286268234253,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7831,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.23879706859588623,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7777,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.20441369712352753,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7865,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.19292804598808289,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.798,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.22221052646636963,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7924,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.20005159080028534,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7706,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.2114497274160385,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.8023,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.20627829432487488,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7942,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.2212829887866974,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.786,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.23149928450584412,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7739,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.22091519832611084,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.8006,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.21787580847740173,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7964,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.2079465687274933,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.781,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.20085163414478302,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7828,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.1979106366634369,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7837,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.21052402257919312,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.782,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.208291694521904,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7958,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.2125210165977478,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7782,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.20064061880111694,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7769,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.19772759079933167,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7944,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.20585064589977264,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7797,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.19706140458583832,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7746,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.19538451731204987,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7666,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.20087800920009613,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7964,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 9.658702345655026e+18,
1829
+ "train_loss": 0.7998714770176432,
1830
+ "train_runtime": 15063.7348,
1831
+ "train_samples_per_second": 44.139,
1832
+ "train_steps_per_second": 0.172
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
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": 9.658702345655026e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/webssl_mae1b_full2b_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60fbdce2033bff23bdc8508a9fbfcf3b2e4704b5404475f732772e0c3925cafc
3
+ size 6264
continuous/smollm2/webssl_mae1b_full2b_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae1b_full2b_224/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1536,
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-mae1b-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_mae1b_full2b_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ffbac13c0f2246fe98dcda3374506060bf9f7223e9616d619862195811a045ab
3
+ size 29378616
continuous/smollm2/webssl_mae1b_full2b_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 14.783483505249023,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 6.6992,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.36506929993629456,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 3.5313,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.0792313888669014,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8815,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.053451914340257645,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.794,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.055412206798791885,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7725,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.05407170578837395,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.7465,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.09075163304805756,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.7299,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.16680413484573364,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.7135,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.1040705069899559,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.6984,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.13101784884929657,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.6917,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.1684999316930771,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.6773,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.26930955052375793,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.6721,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.32600662112236023,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.6616,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.2032058835029602,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.6586,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.11723765730857849,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.6552,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.23693566024303436,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.6417,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.19866740703582764,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.6392,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.25327616930007935,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.6281,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.1933378428220749,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.6283,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.27969875931739807,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.6036,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.38866615295410156,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.6059,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.24000269174575806,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.6116,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.24945415556430817,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.6101,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.20756439864635468,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.6005,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.2332235425710678,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.5926,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.23302610218524933,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.599,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.28516173362731934,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.5796,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.27335235476493835,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.5884,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.18794499337673187,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.5688,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.21959567070007324,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.5709,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.24993987381458282,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.578,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.29147183895111084,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.5778,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.2920821011066437,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.5595,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.2623371481895447,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.5644,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.24592527747154236,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.5693,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.16033832728862762,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.5679,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.19608144462108612,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.5588,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.23160867393016815,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.5686,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.2762646973133087,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.5555,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.1998247355222702,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.555,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.21092970669269562,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.5517,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.26234766840934753,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.5473,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.22786784172058105,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.552,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.19459250569343567,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.5549,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.15452030301094055,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.557,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.1768566519021988,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.5444,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.16679634153842926,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.5368,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.1330423355102539,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.5417,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.1542026549577713,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.5478,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.12619264423847198,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.5521,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.14093606173992157,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.5414,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.13440538942813873,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.5367,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.12056010961532593,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.5406,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.16605940461158752,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.5433,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 5.72896096951468e+17,
394
+ "train_loss": 2.701728978288283,
395
+ "train_runtime": 1789.8182,
396
+ "train_samples_per_second": 311.835,
397
+ "train_steps_per_second": 0.305
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
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": 5.72896096951468e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/webssl_mae300m_full2b_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
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,mm_language_model",
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-mae300m-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae300m_full2b_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c70bab5ac54c38721357fead3ea072f94647518d810682c7e99809698e4277a8
3
+ size 4258048376
continuous/smollm2/webssl_mae300m_full2b_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<|im_start|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<|im_end|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": "<|endoftext|>",
21
+ "unk_token": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ }
28
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae300m_full2b_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<repo_name>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<reponame>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": "<file_sep>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": "<filename>",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": "<gh_stars>",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": "<issue_start>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": "<issue_comment>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": "<issue_closed>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<jupyter_start>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "12": {
101
+ "content": "<jupyter_text>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "13": {
109
+ "content": "<jupyter_code>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "14": {
117
+ "content": "<jupyter_output>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "15": {
125
+ "content": "<jupyter_script>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "16": {
133
+ "content": "<empty_output>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": true
139
+ }
140
+ },
141
+ "additional_special_tokens": [
142
+ "<|im_start|>",
143
+ "<|im_end|>"
144
+ ],
145
+ "bos_token": "<|im_start|>",
146
+ "clean_up_tokenization_spaces": false,
147
+ "eos_token": "<|im_end|>",
148
+ "extra_special_tokens": {},
149
+ "model_max_length": 8192,
150
+ "pad_token": "<|endoftext|>",
151
+ "padding_side": "right",
152
+ "tokenizer_class": "GPT2Tokenizer",
153
+ "unk_token": "<|endoftext|>",
154
+ "vocab_size": 49152
155
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
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": 0.003850596842510589,
14
+ "grad_norm": 3.128727674484253,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 1.2774,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007701193685021178,
21
+ "grad_norm": 2.1774511337280273,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.1465,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011551790527531768,
28
+ "grad_norm": 2.1382298469543457,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.046,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015402387370042356,
35
+ "grad_norm": 1.4231430292129517,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.008,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019252984212552945,
42
+ "grad_norm": 1.3686490058898926,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 0.9894,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.023103581055063535,
49
+ "grad_norm": 0.29779157042503357,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.9153,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026954177897574125,
56
+ "grad_norm": 0.24630999565124512,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.8668,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030804774740084712,
63
+ "grad_norm": 0.24847739934921265,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.8777,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.0346553715825953,
70
+ "grad_norm": 0.23466753959655762,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8616,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03850596842510589,
77
+ "grad_norm": 0.2425977736711502,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8298,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235656526761648,
84
+ "grad_norm": 0.20346780121326447,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8188,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620716211012707,
91
+ "grad_norm": 0.22380052506923676,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8374,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005775895263766,
98
+ "grad_norm": 0.2187991738319397,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8148,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05390835579514825,
105
+ "grad_norm": 0.2187175750732422,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8272,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05775895263765884,
112
+ "grad_norm": 0.2292032241821289,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8053,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061609549480169425,
119
+ "grad_norm": 0.20434226095676422,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8105,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06546014632268002,
126
+ "grad_norm": 0.1846010535955429,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8109,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.0693107431651906,
133
+ "grad_norm": 0.20623241364955902,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8437,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07316134000770119,
140
+ "grad_norm": 0.22865167260169983,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8306,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07701193685021178,
147
+ "grad_norm": 0.20614738762378693,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8293,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08086253369272237,
154
+ "grad_norm": 0.24040907621383667,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8154,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08471313053523297,
161
+ "grad_norm": 0.21043162047863007,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.8085,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08856372737774355,
168
+ "grad_norm": 0.19664865732192993,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8029,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09241432422025414,
175
+ "grad_norm": 0.2090807855129242,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.7967,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09626492106276473,
182
+ "grad_norm": 0.19762232899665833,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8146,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.10011551790527531,
189
+ "grad_norm": 0.20491383969783783,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8136,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.1039661147477859,
196
+ "grad_norm": 0.19891582429409027,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.7954,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.1078167115902965,
203
+ "grad_norm": 0.17760974168777466,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.7939,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11166730843280709,
210
+ "grad_norm": 0.20113655924797058,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8245,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11551790527531768,
217
+ "grad_norm": 0.1814250349998474,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.7827,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11936850211782826,
224
+ "grad_norm": 0.18863148987293243,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.7889,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12321909896033885,
231
+ "grad_norm": 0.18996195495128632,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.7966,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12706969580284944,
238
+ "grad_norm": 0.21181362867355347,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.7999,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13092029264536004,
245
+ "grad_norm": 0.19070370495319366,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8018,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.1347708894878706,
252
+ "grad_norm": 0.21252737939357758,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8079,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.1386214863303812,
259
+ "grad_norm": 0.1901092231273651,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.7877,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.1424720831728918,
266
+ "grad_norm": 0.1996941864490509,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8166,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14632268001540238,
273
+ "grad_norm": 0.17803652584552765,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.7823,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15017327685791299,
280
+ "grad_norm": 0.19303348660469055,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.7856,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15402387370042356,
287
+ "grad_norm": 0.17733243107795715,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.7943,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15787447054293416,
294
+ "grad_norm": 0.19720961153507233,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.7908,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16172506738544473,
301
+ "grad_norm": 0.2046402096748352,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.8047,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16557566422795533,
308
+ "grad_norm": 0.18837183713912964,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.7839,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16942626107046593,
315
+ "grad_norm": 0.20396088063716888,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.7933,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1732768579129765,
322
+ "grad_norm": 0.21917465329170227,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.7772,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.1771274547554871,
329
+ "grad_norm": 0.20191459357738495,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.7863,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18097805159799768,
336
+ "grad_norm": 0.19500622153282166,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.79,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18482864844050828,
343
+ "grad_norm": 0.2045755535364151,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.7893,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18867924528301888,
350
+ "grad_norm": 0.18821954727172852,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.7817,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19252984212552945,
357
+ "grad_norm": 0.18700410425662994,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.7846,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19638043896804006,
364
+ "grad_norm": 0.1939058154821396,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7748,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.20023103581055063,
371
+ "grad_norm": 0.19083461165428162,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.7997,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.20408163265306123,
378
+ "grad_norm": 0.1943548619747162,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.7832,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.2079322294955718,
385
+ "grad_norm": 0.19020406901836395,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.7922,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117828263380824,
392
+ "grad_norm": 0.20573574304580688,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.7964,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.215633423180593,
399
+ "grad_norm": 0.19326013326644897,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8005,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.21948402002310358,
406
+ "grad_norm": 0.209241583943367,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8175,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22333461686561418,
413
+ "grad_norm": 0.2089364230632782,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.7816,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.22718521370812475,
420
+ "grad_norm": 0.18560464680194855,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.7991,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23103581055063535,
427
+ "grad_norm": 0.18953585624694824,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.7967,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23488640739314592,
434
+ "grad_norm": 0.20425675809383392,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8142,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23873700423565652,
441
+ "grad_norm": 0.17463889718055725,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.7913,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24258760107816713,
448
+ "grad_norm": 0.20559769868850708,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.8046,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.2464381979206777,
455
+ "grad_norm": 0.1919933706521988,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.7989,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25028879476318827,
462
+ "grad_norm": 0.18427146971225739,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7616,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25413939160569887,
469
+ "grad_norm": 0.18977832794189453,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.7895,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.2579899884482095,
476
+ "grad_norm": 0.18841570615768433,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.796,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.2618405852907201,
483
+ "grad_norm": 0.18293704092502594,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7792,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.2656911821332307,
490
+ "grad_norm": 0.17961958050727844,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.7902,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.2695417789757412,
497
+ "grad_norm": 0.22533269226551056,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.8012,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.2733923758182518,
504
+ "grad_norm": 0.17423057556152344,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.7806,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.2772429726607624,
511
+ "grad_norm": 0.18075725436210632,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.7822,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.281093569503273,
518
+ "grad_norm": 0.1863936185836792,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.7935,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.2849441663457836,
525
+ "grad_norm": 0.19626832008361816,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7792,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28879476318829417,
532
+ "grad_norm": 0.17706270515918732,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7747,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29264536003080477,
539
+ "grad_norm": 0.1800338327884674,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7722,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.29649595687331537,
546
+ "grad_norm": 0.1767960786819458,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.7912,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.30034655371582597,
553
+ "grad_norm": 0.19529110193252563,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.7845,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041971505583365,
560
+ "grad_norm": 0.18637274205684662,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7712,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.3080477474008471,
567
+ "grad_norm": 0.1802118867635727,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.7912,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.3118983442433577,
574
+ "grad_norm": 0.16973887383937836,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.7913,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157489410858683,
581
+ "grad_norm": 0.18224148452281952,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.7885,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195995379283789,
588
+ "grad_norm": 0.18355964124202728,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7744,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.32345013477088946,
595
+ "grad_norm": 0.17722992599010468,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7731,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.32730073161340006,
602
+ "grad_norm": 0.1744288057088852,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.7821,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.33115132845591067,
609
+ "grad_norm": 0.18247643113136292,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7756,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.33500192529842127,
616
+ "grad_norm": 0.1759486049413681,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7784,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.33885252214093187,
623
+ "grad_norm": 0.20224730670452118,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7819,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.3427031189834424,
630
+ "grad_norm": 0.20793311297893524,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7743,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.346553715825953,
637
+ "grad_norm": 0.1824011206626892,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7789,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.3504043126684636,
644
+ "grad_norm": 0.205536350607872,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7684,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542549095109742,
651
+ "grad_norm": 0.1729743331670761,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7732,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.3581055063534848,
658
+ "grad_norm": 0.20095275342464447,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7559,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36195610319599536,
665
+ "grad_norm": 0.18378938734531403,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.7859,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36580670003850596,
672
+ "grad_norm": 0.18926501274108887,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.8031,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.36965729688101656,
679
+ "grad_norm": 0.1893647462129593,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.7981,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37350789372352716,
686
+ "grad_norm": 0.1861279010772705,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.769,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37735849056603776,
693
+ "grad_norm": 0.1911628544330597,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7757,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.3812090874085483,
700
+ "grad_norm": 0.18706832826137543,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7658,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850596842510589,
707
+ "grad_norm": 0.19030827283859253,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7747,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3889102810935695,
714
+ "grad_norm": 0.17199969291687012,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.7942,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.3927608779360801,
721
+ "grad_norm": 0.1943858414888382,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.794,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39661147477859066,
728
+ "grad_norm": 0.17353083193302155,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.7911,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.40046207162110126,
735
+ "grad_norm": 0.20635250210762024,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7785,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.40431266846361186,
742
+ "grad_norm": 0.17347782850265503,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7756,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.40816326530612246,
749
+ "grad_norm": 0.16575057804584503,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.7809,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41201386214863306,
756
+ "grad_norm": 0.17695477604866028,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7729,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.4158644589911436,
763
+ "grad_norm": 0.16624805331230164,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.7978,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4197150558336542,
770
+ "grad_norm": 0.18926368653774261,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7788,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235656526761648,
777
+ "grad_norm": 0.18508568406105042,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.7913,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4274162495186754,
784
+ "grad_norm": 0.2037215530872345,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.7853,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.431266846361186,
791
+ "grad_norm": 0.21204698085784912,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.7828,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.43511744320369655,
798
+ "grad_norm": 0.19982433319091797,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.763,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.43896804004620715,
805
+ "grad_norm": 0.18800078332424164,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7873,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.44281863688871775,
812
+ "grad_norm": 0.17706623673439026,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.772,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44666923373122835,
819
+ "grad_norm": 0.20605814456939697,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8007,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45051983057373896,
826
+ "grad_norm": 0.1784144788980484,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.8083,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.4543704274162495,
833
+ "grad_norm": 0.17577457427978516,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7875,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4582210242587601,
840
+ "grad_norm": 0.16838666796684265,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7664,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.4620716211012707,
847
+ "grad_norm": 0.18528403341770172,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7718,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.4659222179437813,
854
+ "grad_norm": 0.17632438242435455,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7704,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46977281478629185,
861
+ "grad_norm": 0.19609399139881134,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.7975,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47362341162880245,
868
+ "grad_norm": 0.18067030608654022,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.7911,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47747400847131305,
875
+ "grad_norm": 0.17082010209560394,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7696,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48132460531382365,
882
+ "grad_norm": 0.18130719661712646,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7638,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48517520215633425,
889
+ "grad_norm": 0.19786803424358368,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7757,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.4890257989988448,
896
+ "grad_norm": 0.18549050390720367,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7562,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928763958413554,
903
+ "grad_norm": 0.19500261545181274,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7698,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.496726992683866,
910
+ "grad_norm": 0.17138580977916718,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7826,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005775895263765,
917
+ "grad_norm": 0.1861606240272522,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7727,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5044281863688872,
924
+ "grad_norm": 0.19097018241882324,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.7896,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082787832113977,
931
+ "grad_norm": 0.19442465901374817,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7631,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5121293800539084,
938
+ "grad_norm": 0.19067588448524475,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7726,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.515979976896419,
945
+ "grad_norm": 0.1746632605791092,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7766,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.5198305737389295,
952
+ "grad_norm": 0.17626504600048065,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7721,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236811705814401,
959
+ "grad_norm": 0.19402651488780975,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7896,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5275317674239507,
966
+ "grad_norm": 0.19029565155506134,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7846,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313823642664613,
973
+ "grad_norm": 0.17127524316310883,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.7955,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5352329611089719,
980
+ "grad_norm": 0.18341438472270966,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7723,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390835579514824,
987
+ "grad_norm": 0.18673890829086304,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.772,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5429341547939931,
994
+ "grad_norm": 0.19303704798221588,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7886,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467847516365036,
1001
+ "grad_norm": 0.19691438972949982,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7751,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5506353484790143,
1008
+ "grad_norm": 0.18694958090782166,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7877,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544859453215248,
1015
+ "grad_norm": 0.19545695185661316,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7858,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.5583365421640354,
1022
+ "grad_norm": 0.18604086339473724,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.772,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.562187139006546,
1029
+ "grad_norm": 0.18955577909946442,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.776,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5660377358490566,
1036
+ "grad_norm": 0.1806289255619049,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7738,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698883326915672,
1043
+ "grad_norm": 0.19797416031360626,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7656,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5737389295340778,
1050
+ "grad_norm": 0.18174177408218384,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7757,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775895263765883,
1057
+ "grad_norm": 0.18349431455135345,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7855,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.581440123219099,
1064
+ "grad_norm": 0.1821211278438568,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7802,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852907200616095,
1071
+ "grad_norm": 0.18988126516342163,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.7878,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5891413169041202,
1078
+ "grad_norm": 0.17441615462303162,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.789,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929919137466307,
1085
+ "grad_norm": 0.1810256987810135,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7879,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.5968425105891413,
1092
+ "grad_norm": 0.17734751105308533,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7766,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006931074316519,
1099
+ "grad_norm": 0.17393942177295685,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.7917,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6045437042741625,
1106
+ "grad_norm": 0.19008712470531464,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7927,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.608394301116673,
1113
+ "grad_norm": 0.19863112270832062,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7859,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6122448979591837,
1120
+ "grad_norm": 0.1644529551267624,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7808,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160954948016942,
1127
+ "grad_norm": 0.179550901055336,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7769,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6199460916442049,
1134
+ "grad_norm": 0.16358326375484467,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7556,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.6237966884867154,
1141
+ "grad_norm": 0.18471655249595642,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7569,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.627647285329226,
1148
+ "grad_norm": 0.18375512957572937,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7814,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314978821717366,
1155
+ "grad_norm": 0.16955214738845825,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7729,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.6353484790142472,
1162
+ "grad_norm": 0.18556813895702362,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.787,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391990758567578,
1169
+ "grad_norm": 0.18260197341442108,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7627,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6430496726992684,
1176
+ "grad_norm": 0.1939888745546341,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7806,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6469002695417789,
1183
+ "grad_norm": 0.19130362570285797,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7754,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6507508663842896,
1190
+ "grad_norm": 0.1940569132566452,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7699,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6546014632268001,
1197
+ "grad_norm": 0.17806202173233032,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7741,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6584520600693108,
1204
+ "grad_norm": 0.18705031275749207,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7768,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.6623026569118213,
1211
+ "grad_norm": 0.19861474633216858,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.77,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6661532537543319,
1218
+ "grad_norm": 0.19107548892498016,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7789,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6700038505968425,
1225
+ "grad_norm": 0.18329331278800964,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7857,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6738544474393531,
1232
+ "grad_norm": 0.18248412013053894,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7773,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6777050442818637,
1239
+ "grad_norm": 0.1791553646326065,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7727,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6815556411243743,
1246
+ "grad_norm": 0.18868710100650787,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.806,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6854062379668848,
1253
+ "grad_norm": 0.17435133457183838,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7845,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6892568348093955,
1260
+ "grad_norm": 0.19100575149059296,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.7993,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.693107431651906,
1267
+ "grad_norm": 0.17713719606399536,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7672,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6969580284944167,
1274
+ "grad_norm": 0.17850613594055176,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7613,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.7008086253369272,
1281
+ "grad_norm": 0.16899481415748596,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7852,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7046592221794378,
1288
+ "grad_norm": 0.1790832281112671,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7674,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7085098190219484,
1295
+ "grad_norm": 0.18167425692081451,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7717,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.712360415864459,
1302
+ "grad_norm": 0.18510675430297852,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7864,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7162110127069696,
1309
+ "grad_norm": 0.1745166927576065,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7847,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7200616095494802,
1316
+ "grad_norm": 0.17960487306118011,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7751,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7239122063919907,
1323
+ "grad_norm": 0.1867515742778778,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7862,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.7277628032345014,
1330
+ "grad_norm": 0.18598763644695282,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7726,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7316134000770119,
1337
+ "grad_norm": 0.1978961080312729,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.783,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7354639969195226,
1344
+ "grad_norm": 0.17468488216400146,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7829,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.7393145937620331,
1351
+ "grad_norm": 0.1770145297050476,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7687,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7431651906045437,
1358
+ "grad_norm": 0.18894433975219727,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7906,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7470157874470543,
1365
+ "grad_norm": 0.17252446711063385,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7862,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7508663842895649,
1372
+ "grad_norm": 0.1817261427640915,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.767,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7547169811320755,
1379
+ "grad_norm": 0.19731013476848602,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.7955,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7585675779745861,
1386
+ "grad_norm": 0.18587271869182587,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7837,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7624181748170966,
1393
+ "grad_norm": 0.19312596321105957,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7835,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.7662687716596073,
1400
+ "grad_norm": 0.19648084044456482,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7701,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7701193685021178,
1407
+ "grad_norm": 0.17600245773792267,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7738,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7739699653446284,
1414
+ "grad_norm": 0.17839303612709045,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.778,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.777820562187139,
1421
+ "grad_norm": 0.17329251766204834,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7616,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7816711590296496,
1428
+ "grad_norm": 0.1811053454875946,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7578,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7855217558721602,
1435
+ "grad_norm": 0.1845693588256836,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7725,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7893723527146708,
1442
+ "grad_norm": 0.169509619474411,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7746,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7932229495571813,
1449
+ "grad_norm": 0.161871999502182,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7615,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.797073546399692,
1456
+ "grad_norm": 0.19260168075561523,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7786,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8009241432422025,
1463
+ "grad_norm": 0.17263107001781464,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7535,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.8047747400847132,
1470
+ "grad_norm": 0.1732078343629837,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.78,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8086253369272237,
1477
+ "grad_norm": 0.18523064255714417,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7743,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8124759337697343,
1484
+ "grad_norm": 0.18356288969516754,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7736,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8163265306122449,
1491
+ "grad_norm": 0.18895062804222107,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7883,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8201771274547555,
1498
+ "grad_norm": 0.18422269821166992,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7702,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8240277242972661,
1505
+ "grad_norm": 0.18109896779060364,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7733,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8278783211397767,
1512
+ "grad_norm": 0.18884465098381042,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7635,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.8317289179822872,
1519
+ "grad_norm": 0.1812513768672943,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7832,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8355795148247979,
1526
+ "grad_norm": 0.17968963086605072,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7776,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8394301116673084,
1533
+ "grad_norm": 0.17212115228176117,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7714,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8432807085098191,
1540
+ "grad_norm": 0.18843069672584534,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7754,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8471313053523296,
1547
+ "grad_norm": 0.18496264517307281,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7757,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8509819021948402,
1554
+ "grad_norm": 0.1700846254825592,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7466,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8548324990373508,
1561
+ "grad_norm": 0.16911686956882477,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7802,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586830958798614,
1568
+ "grad_norm": 0.1853056102991104,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7729,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.862533692722372,
1575
+ "grad_norm": 0.17809908092021942,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7835,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663842895648826,
1582
+ "grad_norm": 0.1777345985174179,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7734,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.8702348864073931,
1589
+ "grad_norm": 0.20798729360103607,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7549,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740854832499038,
1596
+ "grad_norm": 0.1774686872959137,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7744,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8779360800924143,
1603
+ "grad_norm": 0.17248210310935974,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7764,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.881786676934925,
1610
+ "grad_norm": 0.1740095615386963,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.784,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8856372737774355,
1617
+ "grad_norm": 0.1686910092830658,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7642,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.889487870619946,
1624
+ "grad_norm": 0.17033128440380096,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7747,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8933384674624567,
1631
+ "grad_norm": 0.16868343949317932,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7784,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971890643049673,
1638
+ "grad_norm": 0.18472805619239807,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7875,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9010396611474779,
1645
+ "grad_norm": 0.17140242457389832,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7808,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048902579899885,
1652
+ "grad_norm": 0.1776757538318634,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7581,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908740854832499,
1659
+ "grad_norm": 0.17488405108451843,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.774,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125914516750097,
1666
+ "grad_norm": 0.19718705117702484,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7672,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9164420485175202,
1673
+ "grad_norm": 0.1798376441001892,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.777,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202926453600309,
1680
+ "grad_norm": 0.17529186606407166,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7874,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9241432422025414,
1687
+ "grad_norm": 0.19441480934619904,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.782,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.927993839045052,
1694
+ "grad_norm": 0.17525674402713776,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7604,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9318444358875626,
1701
+ "grad_norm": 0.17389672994613647,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.7916,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.9356950327300732,
1708
+ "grad_norm": 0.17868967354297638,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7841,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9395456295725837,
1715
+ "grad_norm": 0.17634522914886475,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7755,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433962264150944,
1722
+ "grad_norm": 0.1853901594877243,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.764,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9472468232576049,
1729
+ "grad_norm": 0.1988186240196228,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7901,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510974201001156,
1736
+ "grad_norm": 0.1935141384601593,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7859,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9549480169426261,
1743
+ "grad_norm": 0.17421145737171173,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7718,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587986137851366,
1750
+ "grad_norm": 0.17254091799259186,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.773,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9626492106276473,
1757
+ "grad_norm": 0.1741570234298706,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7739,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664998074701578,
1764
+ "grad_norm": 0.17490850389003754,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7724,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9703504043126685,
1771
+ "grad_norm": 0.1792939007282257,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7859,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974201001155179,
1778
+ "grad_norm": 0.18108727037906647,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7681,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9780515979976896,
1785
+ "grad_norm": 0.163552388548851,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7672,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9819021948402002,
1792
+ "grad_norm": 0.1669154167175293,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7844,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9857527916827108,
1799
+ "grad_norm": 0.1705334335565567,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7699,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9896033885252215,
1806
+ "grad_norm": 0.1764678806066513,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7645,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.993453985367732,
1813
+ "grad_norm": 0.16788692772388458,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7565,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9973045822102425,
1820
+ "grad_norm": 0.18325668573379517,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7866,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 1.0,
1827
+ "step": 2597,
1828
+ "total_flos": 6.73610099550113e+18,
1829
+ "train_loss": 0.7905286398583942,
1830
+ "train_runtime": 14718.0661,
1831
+ "train_samples_per_second": 45.176,
1832
+ "train_steps_per_second": 0.176
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 584317136,
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": 6.73610099550113e+18,
1853
+ "train_batch_size": 16,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/smollm2/webssl_mae300m_full2b_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95281692119e93a33d71a42aaacfec3b6554015f2d2abf55db49cb46954ea637
3
+ size 6264
continuous/smollm2/webssl_mae300m_full2b_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/smollm2/webssl_mae300m_full2b_224/pretrain/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 1024,
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-mae300m-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_mae300m_full2b_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:54ee28716d4194ca001aa89f755d606aab503a2ff01cbb42ea8a58436c749c3b
3
+ size 25184312
continuous/smollm2/webssl_mae300m_full2b_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 1.647135853767395,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 4.0111,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.18659217655658722,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 2.9325,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.3889049291610718,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 2.8071,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.10087281465530396,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 2.7473,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.09167914092540741,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 2.7268,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.13740041851997375,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 2.6983,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.16072581708431244,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 2.6793,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.20333479344844818,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 2.667,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.16675536334514618,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 2.6456,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.32872381806373596,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 2.6418,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.22132961452007294,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 2.6248,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.24824732542037964,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 2.6146,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.337802916765213,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 2.5969,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.24509911239147186,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 2.5871,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.326397180557251,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 2.5881,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.22553174197673798,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 2.5801,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.2625032365322113,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 2.5784,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.18555232882499695,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 2.5675,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.2130051851272583,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 2.5639,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.2341107726097107,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 2.5417,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.2435072362422943,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 2.546,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.33278974890708923,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 2.5491,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.2518136501312256,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 2.5473,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.2123250514268875,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 2.5387,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.19282573461532593,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 2.5302,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.20742443203926086,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 2.5362,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.19675256311893463,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 2.515,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.23557472229003906,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 2.5222,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.17488068342208862,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 2.5061,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.18073394894599915,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 2.5087,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.24913953244686127,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 2.5152,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.18612314760684967,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 2.5145,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.21832609176635742,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 2.4987,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.17917044460773468,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 2.5028,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.20883417129516602,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 2.5058,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.20437490940093994,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 2.5063,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.1722855120897293,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 2.4977,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.19373030960559845,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 2.5098,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.17518684267997742,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 2.4936,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.19301705062389374,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 2.4949,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.15215185284614563,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 2.492,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.1508626788854599,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 2.4853,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.15007443726062775,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 2.4892,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.16850507259368896,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 2.4942,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.1552313268184662,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 2.4952,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.1587221622467041,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 2.4827,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.1366247534751892,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 2.4755,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.12014873325824738,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 2.4793,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.1094166710972786,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 2.4873,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.12433471530675888,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 2.4908,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.13068777322769165,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 2.4798,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.11499562114477158,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 2.4752,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.11267200112342834,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 2.4807,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.14453870058059692,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 2.482,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.995449693181051e+17,
394
+ "train_loss": 2.5832905218141886,
395
+ "train_runtime": 1380.8309,
396
+ "train_samples_per_second": 404.197,
397
+ "train_steps_per_second": 0.395
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 34658176,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.995449693181051e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/smollm2/webssl_mae3b_full2b_224/finetune/chat_template.jinja ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system
2
+ You are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>
3
+ ' }}{% endif %}{{'<|im_start|>' + message['role'] + '
4
+ ' + message['content'] + '<|im_end|>' + '
5
+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
6
+ ' }}{% endif %}
continuous/smollm2/webssl_mae3b_full2b_224/finetune/config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaLlamaForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 1,
10
+ "dtype": "bfloat16",
11
+ "eos_token_id": 2,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 64,
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": 8192,
23
+ "max_position_embeddings": 8192,
24
+ "mlp_bias": false,
25
+ "mm_hidden_size": 3072,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": 0.0001,
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,mm_language_model",
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": -1,
38
+ "mm_vision_tower": "hf:/cache/ckpt/download/tokenizer/continuous/webssl/webssl-mae3b-full2b-224",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "llama",
41
+ "num_attention_heads": 32,
42
+ "num_hidden_layers": 24,
43
+ "num_key_value_heads": 32,
44
+ "pad_token_id": 0,
45
+ "pos_skipping_range": 4096,
46
+ "pretraining_tp": 1,
47
+ "rms_norm_eps": 1e-05,
48
+ "rope_scaling": null,
49
+ "rope_theta": 130000,
50
+ "tie_word_embeddings": true,
51
+ "tokenizer_model_max_length": 8192,
52
+ "tokenizer_padding_side": "right",
53
+ "transformers.js_config": {
54
+ "dtype": "q4",
55
+ "kv_cache_dtype": {
56
+ "fp16": "float16",
57
+ "q4f16": "float16"
58
+ },
59
+ "use_external_data_format": {
60
+ "model.onnx": true,
61
+ "model_fp16.onnx": true
62
+ }
63
+ },
64
+ "transformers_version": "4.57.6",
65
+ "use_cache": true,
66
+ "use_mm_proj": true,
67
+ "use_pos_skipping": false,
68
+ "vision_tower_pretrained": null,
69
+ "vocab_size": 49152
70
+ }
continuous/smollm2/webssl_mae3b_full2b_224/finetune/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": [
5
+ 2
6
+ ],
7
+ "pad_token_id": 0,
8
+ "transformers_version": "4.57.6"
9
+ }
continuous/smollm2/webssl_mae3b_full2b_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff