lyunee commited on
Commit
87fcc1a
·
verified ·
1 Parent(s): 471e6f1

Upload continuous evaluation checkpoints, batch 15

Browse files
Files changed (45) hide show
  1. .gitattributes +3 -0
  2. continuous/qwen3/mc2_h14_378/finetune/model-00001-of-00002.safetensors +3 -0
  3. continuous/qwen3/mc2_h14_378/finetune/model-00002-of-00002.safetensors +3 -0
  4. continuous/qwen3/mc2_h14_378/finetune/model.safetensors.index.json +714 -0
  5. continuous/qwen3/mc2_h14_378/finetune/special_tokens_map.json +31 -0
  6. continuous/qwen3/mc2_h14_378/finetune/tokenizer.json +3 -0
  7. continuous/qwen3/mc2_h14_378/finetune/tokenizer_config.json +241 -0
  8. continuous/qwen3/mc2_h14_378/finetune/trainer_state.json +1856 -0
  9. continuous/qwen3/mc2_h14_378/finetune/training_args.bin +3 -0
  10. continuous/qwen3/mc2_h14_378/finetune/vocab.json +0 -0
  11. continuous/qwen3/mc2_h14_378/pretrain/config.json +60 -0
  12. continuous/qwen3/mc2_h14_378/pretrain/mm_projector.bin +3 -0
  13. continuous/qwen3/mc2_h14_378/pretrain/trainer_state.json +421 -0
  14. continuous/qwen3/mc2_l14_224/finetune/added_tokens.json +28 -0
  15. continuous/qwen3/mc2_l14_224/finetune/config.json +59 -0
  16. continuous/qwen3/mc2_l14_224/finetune/generation_config.json +13 -0
  17. continuous/qwen3/mc2_l14_224/finetune/merges.txt +0 -0
  18. continuous/qwen3/mc2_l14_224/finetune/model.safetensors +3 -0
  19. continuous/qwen3/mc2_l14_224/finetune/special_tokens_map.json +31 -0
  20. continuous/qwen3/mc2_l14_224/finetune/tokenizer.json +3 -0
  21. continuous/qwen3/mc2_l14_224/finetune/tokenizer_config.json +241 -0
  22. continuous/qwen3/mc2_l14_224/finetune/trainer_state.json +1856 -0
  23. continuous/qwen3/mc2_l14_224/finetune/training_args.bin +3 -0
  24. continuous/qwen3/mc2_l14_224/finetune/vocab.json +0 -0
  25. continuous/qwen3/mc2_l14_224/pretrain/config.json +60 -0
  26. continuous/qwen3/mc2_l14_224/pretrain/mm_projector.bin +3 -0
  27. continuous/qwen3/mc2_l14_224/pretrain/trainer_state.json +421 -0
  28. continuous/qwen3/mc2_m16_224/finetune/added_tokens.json +28 -0
  29. continuous/qwen3/mc2_m16_224/finetune/config.json +59 -0
  30. continuous/qwen3/mc2_m16_224/finetune/generation_config.json +13 -0
  31. continuous/qwen3/mc2_m16_224/finetune/merges.txt +0 -0
  32. continuous/qwen3/mc2_m16_224/finetune/model.safetensors +3 -0
  33. continuous/qwen3/mc2_m16_224/finetune/special_tokens_map.json +31 -0
  34. continuous/qwen3/mc2_m16_224/finetune/tokenizer.json +3 -0
  35. continuous/qwen3/mc2_m16_224/finetune/tokenizer_config.json +241 -0
  36. continuous/qwen3/mc2_m16_224/finetune/trainer_state.json +1856 -0
  37. continuous/qwen3/mc2_m16_224/finetune/training_args.bin +3 -0
  38. continuous/qwen3/mc2_m16_224/finetune/vocab.json +0 -0
  39. continuous/qwen3/mc2_m16_224/pretrain/config.json +60 -0
  40. continuous/qwen3/mc2_m16_224/pretrain/mm_projector.bin +3 -0
  41. continuous/qwen3/mc2_m16_224/pretrain/trainer_state.json +421 -0
  42. continuous/qwen3/mc2_m16_224_mt5/finetune/added_tokens.json +28 -0
  43. continuous/qwen3/mc2_m16_224_mt5/finetune/config.json +59 -0
  44. continuous/qwen3/mc2_m16_224_mt5/finetune/generation_config.json +13 -0
  45. continuous/qwen3/mc2_m16_224_mt5/finetune/merges.txt +0 -0
.gitattributes CHANGED
@@ -142,3 +142,6 @@ continuous/qwen3/mc2_b32_224_mt5/finetune/tokenizer.json filter=lfs diff=lfs mer
142
  continuous/qwen3/mc2_b32_384/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
143
  continuous/qwen3/mc2_g14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
144
  continuous/qwen3/mc2_g14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
 
 
142
  continuous/qwen3/mc2_b32_384/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
143
  continuous/qwen3/mc2_g14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
144
  continuous/qwen3/mc2_g14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
145
+ continuous/qwen3/mc2_h14_378/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
146
+ continuous/qwen3/mc2_l14_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
147
+ continuous/qwen3/mc2_m16_224/finetune/tokenizer.json filter=lfs diff=lfs merge=lfs -text
continuous/qwen3/mc2_h14_378/finetune/model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b30fe8678b4c12b7482a433c9845f3f110f7c381b4968174f5418c4edd6e4bb8
3
+ size 4733887200
continuous/qwen3/mc2_h14_378/finetune/model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3be8af601cdf5ad447cef4fd0d7f9348eab8f61f46fc6298c60a2f1ec80b6931
3
+ size 622329984
continuous/qwen3/mc2_h14_378/finetune/model.safetensors.index.json ADDED
@@ -0,0 +1,714 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 5356123648
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00002-of-00002.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.self_attn.k_norm.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_norm.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
231
+ "model.layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
232
+ "model.layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
244
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
246
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
248
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
255
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
258
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
260
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
270
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
282
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
284
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
294
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
296
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
298
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
300
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
302
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
303
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
304
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
306
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
308
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
310
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
312
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00002.safetensors",
314
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
316
+ "model.mm_projector.0.bias": "model-00001-of-00002.safetensors",
317
+ "model.mm_projector.0.weight": "model-00001-of-00002.safetensors",
318
+ "model.mm_projector.2.bias": "model-00001-of-00002.safetensors",
319
+ "model.mm_projector.2.weight": "model-00001-of-00002.safetensors",
320
+ "model.norm.weight": "model-00001-of-00002.safetensors",
321
+ "model.vision_tower.vision_tower.class_embedding": "model-00001-of-00002.safetensors",
322
+ "model.vision_tower.vision_tower.conv1.weight": "model-00001-of-00002.safetensors",
323
+ "model.vision_tower.vision_tower.ln_post.bias": "model-00001-of-00002.safetensors",
324
+ "model.vision_tower.vision_tower.ln_post.weight": "model-00001-of-00002.safetensors",
325
+ "model.vision_tower.vision_tower.ln_pre.bias": "model-00001-of-00002.safetensors",
326
+ "model.vision_tower.vision_tower.ln_pre.weight": "model-00001-of-00002.safetensors",
327
+ "model.vision_tower.vision_tower.positional_embedding": "model-00001-of-00002.safetensors",
328
+ "model.vision_tower.vision_tower.proj": "model-00001-of-00002.safetensors",
329
+ "model.vision_tower.vision_tower.transformer.resblocks.0.attn.in_proj_bias": "model-00001-of-00002.safetensors",
330
+ "model.vision_tower.vision_tower.transformer.resblocks.0.attn.in_proj_weight": "model-00001-of-00002.safetensors",
331
+ "model.vision_tower.vision_tower.transformer.resblocks.0.attn.out_proj.bias": "model-00001-of-00002.safetensors",
332
+ "model.vision_tower.vision_tower.transformer.resblocks.0.attn.out_proj.weight": "model-00001-of-00002.safetensors",
333
+ "model.vision_tower.vision_tower.transformer.resblocks.0.ln_1.bias": "model-00001-of-00002.safetensors",
334
+ "model.vision_tower.vision_tower.transformer.resblocks.0.ln_1.weight": "model-00001-of-00002.safetensors",
335
+ "model.vision_tower.vision_tower.transformer.resblocks.0.ln_2.bias": "model-00001-of-00002.safetensors",
336
+ "model.vision_tower.vision_tower.transformer.resblocks.0.ln_2.weight": "model-00001-of-00002.safetensors",
337
+ "model.vision_tower.vision_tower.transformer.resblocks.0.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
338
+ "model.vision_tower.vision_tower.transformer.resblocks.0.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
339
+ "model.vision_tower.vision_tower.transformer.resblocks.0.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
340
+ "model.vision_tower.vision_tower.transformer.resblocks.0.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
341
+ "model.vision_tower.vision_tower.transformer.resblocks.1.attn.in_proj_bias": "model-00001-of-00002.safetensors",
342
+ "model.vision_tower.vision_tower.transformer.resblocks.1.attn.in_proj_weight": "model-00001-of-00002.safetensors",
343
+ "model.vision_tower.vision_tower.transformer.resblocks.1.attn.out_proj.bias": "model-00001-of-00002.safetensors",
344
+ "model.vision_tower.vision_tower.transformer.resblocks.1.attn.out_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.vision_tower.vision_tower.transformer.resblocks.1.ln_1.bias": "model-00001-of-00002.safetensors",
346
+ "model.vision_tower.vision_tower.transformer.resblocks.1.ln_1.weight": "model-00001-of-00002.safetensors",
347
+ "model.vision_tower.vision_tower.transformer.resblocks.1.ln_2.bias": "model-00001-of-00002.safetensors",
348
+ "model.vision_tower.vision_tower.transformer.resblocks.1.ln_2.weight": "model-00001-of-00002.safetensors",
349
+ "model.vision_tower.vision_tower.transformer.resblocks.1.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
350
+ "model.vision_tower.vision_tower.transformer.resblocks.1.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
351
+ "model.vision_tower.vision_tower.transformer.resblocks.1.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
352
+ "model.vision_tower.vision_tower.transformer.resblocks.1.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
353
+ "model.vision_tower.vision_tower.transformer.resblocks.10.attn.in_proj_bias": "model-00001-of-00002.safetensors",
354
+ "model.vision_tower.vision_tower.transformer.resblocks.10.attn.in_proj_weight": "model-00001-of-00002.safetensors",
355
+ "model.vision_tower.vision_tower.transformer.resblocks.10.attn.out_proj.bias": "model-00001-of-00002.safetensors",
356
+ "model.vision_tower.vision_tower.transformer.resblocks.10.attn.out_proj.weight": "model-00001-of-00002.safetensors",
357
+ "model.vision_tower.vision_tower.transformer.resblocks.10.ln_1.bias": "model-00001-of-00002.safetensors",
358
+ "model.vision_tower.vision_tower.transformer.resblocks.10.ln_1.weight": "model-00001-of-00002.safetensors",
359
+ "model.vision_tower.vision_tower.transformer.resblocks.10.ln_2.bias": "model-00001-of-00002.safetensors",
360
+ "model.vision_tower.vision_tower.transformer.resblocks.10.ln_2.weight": "model-00001-of-00002.safetensors",
361
+ "model.vision_tower.vision_tower.transformer.resblocks.10.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
362
+ "model.vision_tower.vision_tower.transformer.resblocks.10.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
363
+ "model.vision_tower.vision_tower.transformer.resblocks.10.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
364
+ "model.vision_tower.vision_tower.transformer.resblocks.10.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
365
+ "model.vision_tower.vision_tower.transformer.resblocks.11.attn.in_proj_bias": "model-00001-of-00002.safetensors",
366
+ "model.vision_tower.vision_tower.transformer.resblocks.11.attn.in_proj_weight": "model-00001-of-00002.safetensors",
367
+ "model.vision_tower.vision_tower.transformer.resblocks.11.attn.out_proj.bias": "model-00001-of-00002.safetensors",
368
+ "model.vision_tower.vision_tower.transformer.resblocks.11.attn.out_proj.weight": "model-00001-of-00002.safetensors",
369
+ "model.vision_tower.vision_tower.transformer.resblocks.11.ln_1.bias": "model-00001-of-00002.safetensors",
370
+ "model.vision_tower.vision_tower.transformer.resblocks.11.ln_1.weight": "model-00001-of-00002.safetensors",
371
+ "model.vision_tower.vision_tower.transformer.resblocks.11.ln_2.bias": "model-00001-of-00002.safetensors",
372
+ "model.vision_tower.vision_tower.transformer.resblocks.11.ln_2.weight": "model-00001-of-00002.safetensors",
373
+ "model.vision_tower.vision_tower.transformer.resblocks.11.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
374
+ "model.vision_tower.vision_tower.transformer.resblocks.11.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
375
+ "model.vision_tower.vision_tower.transformer.resblocks.11.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
376
+ "model.vision_tower.vision_tower.transformer.resblocks.11.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
377
+ "model.vision_tower.vision_tower.transformer.resblocks.12.attn.in_proj_bias": "model-00001-of-00002.safetensors",
378
+ "model.vision_tower.vision_tower.transformer.resblocks.12.attn.in_proj_weight": "model-00001-of-00002.safetensors",
379
+ "model.vision_tower.vision_tower.transformer.resblocks.12.attn.out_proj.bias": "model-00001-of-00002.safetensors",
380
+ "model.vision_tower.vision_tower.transformer.resblocks.12.attn.out_proj.weight": "model-00001-of-00002.safetensors",
381
+ "model.vision_tower.vision_tower.transformer.resblocks.12.ln_1.bias": "model-00001-of-00002.safetensors",
382
+ "model.vision_tower.vision_tower.transformer.resblocks.12.ln_1.weight": "model-00001-of-00002.safetensors",
383
+ "model.vision_tower.vision_tower.transformer.resblocks.12.ln_2.bias": "model-00001-of-00002.safetensors",
384
+ "model.vision_tower.vision_tower.transformer.resblocks.12.ln_2.weight": "model-00001-of-00002.safetensors",
385
+ "model.vision_tower.vision_tower.transformer.resblocks.12.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
386
+ "model.vision_tower.vision_tower.transformer.resblocks.12.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
387
+ "model.vision_tower.vision_tower.transformer.resblocks.12.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
388
+ "model.vision_tower.vision_tower.transformer.resblocks.12.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
389
+ "model.vision_tower.vision_tower.transformer.resblocks.13.attn.in_proj_bias": "model-00001-of-00002.safetensors",
390
+ "model.vision_tower.vision_tower.transformer.resblocks.13.attn.in_proj_weight": "model-00001-of-00002.safetensors",
391
+ "model.vision_tower.vision_tower.transformer.resblocks.13.attn.out_proj.bias": "model-00001-of-00002.safetensors",
392
+ "model.vision_tower.vision_tower.transformer.resblocks.13.attn.out_proj.weight": "model-00001-of-00002.safetensors",
393
+ "model.vision_tower.vision_tower.transformer.resblocks.13.ln_1.bias": "model-00001-of-00002.safetensors",
394
+ "model.vision_tower.vision_tower.transformer.resblocks.13.ln_1.weight": "model-00001-of-00002.safetensors",
395
+ "model.vision_tower.vision_tower.transformer.resblocks.13.ln_2.bias": "model-00001-of-00002.safetensors",
396
+ "model.vision_tower.vision_tower.transformer.resblocks.13.ln_2.weight": "model-00001-of-00002.safetensors",
397
+ "model.vision_tower.vision_tower.transformer.resblocks.13.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
398
+ "model.vision_tower.vision_tower.transformer.resblocks.13.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
399
+ "model.vision_tower.vision_tower.transformer.resblocks.13.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
400
+ "model.vision_tower.vision_tower.transformer.resblocks.13.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
401
+ "model.vision_tower.vision_tower.transformer.resblocks.14.attn.in_proj_bias": "model-00001-of-00002.safetensors",
402
+ "model.vision_tower.vision_tower.transformer.resblocks.14.attn.in_proj_weight": "model-00001-of-00002.safetensors",
403
+ "model.vision_tower.vision_tower.transformer.resblocks.14.attn.out_proj.bias": "model-00001-of-00002.safetensors",
404
+ "model.vision_tower.vision_tower.transformer.resblocks.14.attn.out_proj.weight": "model-00001-of-00002.safetensors",
405
+ "model.vision_tower.vision_tower.transformer.resblocks.14.ln_1.bias": "model-00001-of-00002.safetensors",
406
+ "model.vision_tower.vision_tower.transformer.resblocks.14.ln_1.weight": "model-00001-of-00002.safetensors",
407
+ "model.vision_tower.vision_tower.transformer.resblocks.14.ln_2.bias": "model-00001-of-00002.safetensors",
408
+ "model.vision_tower.vision_tower.transformer.resblocks.14.ln_2.weight": "model-00001-of-00002.safetensors",
409
+ "model.vision_tower.vision_tower.transformer.resblocks.14.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
410
+ "model.vision_tower.vision_tower.transformer.resblocks.14.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
411
+ "model.vision_tower.vision_tower.transformer.resblocks.14.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
412
+ "model.vision_tower.vision_tower.transformer.resblocks.14.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
413
+ "model.vision_tower.vision_tower.transformer.resblocks.15.attn.in_proj_bias": "model-00001-of-00002.safetensors",
414
+ "model.vision_tower.vision_tower.transformer.resblocks.15.attn.in_proj_weight": "model-00001-of-00002.safetensors",
415
+ "model.vision_tower.vision_tower.transformer.resblocks.15.attn.out_proj.bias": "model-00001-of-00002.safetensors",
416
+ "model.vision_tower.vision_tower.transformer.resblocks.15.attn.out_proj.weight": "model-00001-of-00002.safetensors",
417
+ "model.vision_tower.vision_tower.transformer.resblocks.15.ln_1.bias": "model-00001-of-00002.safetensors",
418
+ "model.vision_tower.vision_tower.transformer.resblocks.15.ln_1.weight": "model-00001-of-00002.safetensors",
419
+ "model.vision_tower.vision_tower.transformer.resblocks.15.ln_2.bias": "model-00001-of-00002.safetensors",
420
+ "model.vision_tower.vision_tower.transformer.resblocks.15.ln_2.weight": "model-00001-of-00002.safetensors",
421
+ "model.vision_tower.vision_tower.transformer.resblocks.15.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
422
+ "model.vision_tower.vision_tower.transformer.resblocks.15.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
423
+ "model.vision_tower.vision_tower.transformer.resblocks.15.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
424
+ "model.vision_tower.vision_tower.transformer.resblocks.15.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
425
+ "model.vision_tower.vision_tower.transformer.resblocks.16.attn.in_proj_bias": "model-00001-of-00002.safetensors",
426
+ "model.vision_tower.vision_tower.transformer.resblocks.16.attn.in_proj_weight": "model-00001-of-00002.safetensors",
427
+ "model.vision_tower.vision_tower.transformer.resblocks.16.attn.out_proj.bias": "model-00001-of-00002.safetensors",
428
+ "model.vision_tower.vision_tower.transformer.resblocks.16.attn.out_proj.weight": "model-00001-of-00002.safetensors",
429
+ "model.vision_tower.vision_tower.transformer.resblocks.16.ln_1.bias": "model-00001-of-00002.safetensors",
430
+ "model.vision_tower.vision_tower.transformer.resblocks.16.ln_1.weight": "model-00001-of-00002.safetensors",
431
+ "model.vision_tower.vision_tower.transformer.resblocks.16.ln_2.bias": "model-00001-of-00002.safetensors",
432
+ "model.vision_tower.vision_tower.transformer.resblocks.16.ln_2.weight": "model-00001-of-00002.safetensors",
433
+ "model.vision_tower.vision_tower.transformer.resblocks.16.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
434
+ "model.vision_tower.vision_tower.transformer.resblocks.16.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
435
+ "model.vision_tower.vision_tower.transformer.resblocks.16.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
436
+ "model.vision_tower.vision_tower.transformer.resblocks.16.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
437
+ "model.vision_tower.vision_tower.transformer.resblocks.17.attn.in_proj_bias": "model-00001-of-00002.safetensors",
438
+ "model.vision_tower.vision_tower.transformer.resblocks.17.attn.in_proj_weight": "model-00001-of-00002.safetensors",
439
+ "model.vision_tower.vision_tower.transformer.resblocks.17.attn.out_proj.bias": "model-00001-of-00002.safetensors",
440
+ "model.vision_tower.vision_tower.transformer.resblocks.17.attn.out_proj.weight": "model-00001-of-00002.safetensors",
441
+ "model.vision_tower.vision_tower.transformer.resblocks.17.ln_1.bias": "model-00001-of-00002.safetensors",
442
+ "model.vision_tower.vision_tower.transformer.resblocks.17.ln_1.weight": "model-00001-of-00002.safetensors",
443
+ "model.vision_tower.vision_tower.transformer.resblocks.17.ln_2.bias": "model-00001-of-00002.safetensors",
444
+ "model.vision_tower.vision_tower.transformer.resblocks.17.ln_2.weight": "model-00001-of-00002.safetensors",
445
+ "model.vision_tower.vision_tower.transformer.resblocks.17.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
446
+ "model.vision_tower.vision_tower.transformer.resblocks.17.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
447
+ "model.vision_tower.vision_tower.transformer.resblocks.17.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
448
+ "model.vision_tower.vision_tower.transformer.resblocks.17.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
449
+ "model.vision_tower.vision_tower.transformer.resblocks.18.attn.in_proj_bias": "model-00001-of-00002.safetensors",
450
+ "model.vision_tower.vision_tower.transformer.resblocks.18.attn.in_proj_weight": "model-00001-of-00002.safetensors",
451
+ "model.vision_tower.vision_tower.transformer.resblocks.18.attn.out_proj.bias": "model-00001-of-00002.safetensors",
452
+ "model.vision_tower.vision_tower.transformer.resblocks.18.attn.out_proj.weight": "model-00001-of-00002.safetensors",
453
+ "model.vision_tower.vision_tower.transformer.resblocks.18.ln_1.bias": "model-00001-of-00002.safetensors",
454
+ "model.vision_tower.vision_tower.transformer.resblocks.18.ln_1.weight": "model-00001-of-00002.safetensors",
455
+ "model.vision_tower.vision_tower.transformer.resblocks.18.ln_2.bias": "model-00001-of-00002.safetensors",
456
+ "model.vision_tower.vision_tower.transformer.resblocks.18.ln_2.weight": "model-00001-of-00002.safetensors",
457
+ "model.vision_tower.vision_tower.transformer.resblocks.18.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
458
+ "model.vision_tower.vision_tower.transformer.resblocks.18.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
459
+ "model.vision_tower.vision_tower.transformer.resblocks.18.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
460
+ "model.vision_tower.vision_tower.transformer.resblocks.18.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
461
+ "model.vision_tower.vision_tower.transformer.resblocks.19.attn.in_proj_bias": "model-00001-of-00002.safetensors",
462
+ "model.vision_tower.vision_tower.transformer.resblocks.19.attn.in_proj_weight": "model-00001-of-00002.safetensors",
463
+ "model.vision_tower.vision_tower.transformer.resblocks.19.attn.out_proj.bias": "model-00001-of-00002.safetensors",
464
+ "model.vision_tower.vision_tower.transformer.resblocks.19.attn.out_proj.weight": "model-00001-of-00002.safetensors",
465
+ "model.vision_tower.vision_tower.transformer.resblocks.19.ln_1.bias": "model-00001-of-00002.safetensors",
466
+ "model.vision_tower.vision_tower.transformer.resblocks.19.ln_1.weight": "model-00001-of-00002.safetensors",
467
+ "model.vision_tower.vision_tower.transformer.resblocks.19.ln_2.bias": "model-00001-of-00002.safetensors",
468
+ "model.vision_tower.vision_tower.transformer.resblocks.19.ln_2.weight": "model-00001-of-00002.safetensors",
469
+ "model.vision_tower.vision_tower.transformer.resblocks.19.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
470
+ "model.vision_tower.vision_tower.transformer.resblocks.19.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
471
+ "model.vision_tower.vision_tower.transformer.resblocks.19.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
472
+ "model.vision_tower.vision_tower.transformer.resblocks.19.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
473
+ "model.vision_tower.vision_tower.transformer.resblocks.2.attn.in_proj_bias": "model-00001-of-00002.safetensors",
474
+ "model.vision_tower.vision_tower.transformer.resblocks.2.attn.in_proj_weight": "model-00001-of-00002.safetensors",
475
+ "model.vision_tower.vision_tower.transformer.resblocks.2.attn.out_proj.bias": "model-00001-of-00002.safetensors",
476
+ "model.vision_tower.vision_tower.transformer.resblocks.2.attn.out_proj.weight": "model-00001-of-00002.safetensors",
477
+ "model.vision_tower.vision_tower.transformer.resblocks.2.ln_1.bias": "model-00001-of-00002.safetensors",
478
+ "model.vision_tower.vision_tower.transformer.resblocks.2.ln_1.weight": "model-00001-of-00002.safetensors",
479
+ "model.vision_tower.vision_tower.transformer.resblocks.2.ln_2.bias": "model-00001-of-00002.safetensors",
480
+ "model.vision_tower.vision_tower.transformer.resblocks.2.ln_2.weight": "model-00001-of-00002.safetensors",
481
+ "model.vision_tower.vision_tower.transformer.resblocks.2.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
482
+ "model.vision_tower.vision_tower.transformer.resblocks.2.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
483
+ "model.vision_tower.vision_tower.transformer.resblocks.2.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
484
+ "model.vision_tower.vision_tower.transformer.resblocks.2.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
485
+ "model.vision_tower.vision_tower.transformer.resblocks.20.attn.in_proj_bias": "model-00001-of-00002.safetensors",
486
+ "model.vision_tower.vision_tower.transformer.resblocks.20.attn.in_proj_weight": "model-00001-of-00002.safetensors",
487
+ "model.vision_tower.vision_tower.transformer.resblocks.20.attn.out_proj.bias": "model-00001-of-00002.safetensors",
488
+ "model.vision_tower.vision_tower.transformer.resblocks.20.attn.out_proj.weight": "model-00001-of-00002.safetensors",
489
+ "model.vision_tower.vision_tower.transformer.resblocks.20.ln_1.bias": "model-00001-of-00002.safetensors",
490
+ "model.vision_tower.vision_tower.transformer.resblocks.20.ln_1.weight": "model-00001-of-00002.safetensors",
491
+ "model.vision_tower.vision_tower.transformer.resblocks.20.ln_2.bias": "model-00001-of-00002.safetensors",
492
+ "model.vision_tower.vision_tower.transformer.resblocks.20.ln_2.weight": "model-00001-of-00002.safetensors",
493
+ "model.vision_tower.vision_tower.transformer.resblocks.20.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
494
+ "model.vision_tower.vision_tower.transformer.resblocks.20.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
495
+ "model.vision_tower.vision_tower.transformer.resblocks.20.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
496
+ "model.vision_tower.vision_tower.transformer.resblocks.20.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
497
+ "model.vision_tower.vision_tower.transformer.resblocks.21.attn.in_proj_bias": "model-00001-of-00002.safetensors",
498
+ "model.vision_tower.vision_tower.transformer.resblocks.21.attn.in_proj_weight": "model-00001-of-00002.safetensors",
499
+ "model.vision_tower.vision_tower.transformer.resblocks.21.attn.out_proj.bias": "model-00001-of-00002.safetensors",
500
+ "model.vision_tower.vision_tower.transformer.resblocks.21.attn.out_proj.weight": "model-00001-of-00002.safetensors",
501
+ "model.vision_tower.vision_tower.transformer.resblocks.21.ln_1.bias": "model-00001-of-00002.safetensors",
502
+ "model.vision_tower.vision_tower.transformer.resblocks.21.ln_1.weight": "model-00001-of-00002.safetensors",
503
+ "model.vision_tower.vision_tower.transformer.resblocks.21.ln_2.bias": "model-00001-of-00002.safetensors",
504
+ "model.vision_tower.vision_tower.transformer.resblocks.21.ln_2.weight": "model-00001-of-00002.safetensors",
505
+ "model.vision_tower.vision_tower.transformer.resblocks.21.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
506
+ "model.vision_tower.vision_tower.transformer.resblocks.21.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
507
+ "model.vision_tower.vision_tower.transformer.resblocks.21.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
508
+ "model.vision_tower.vision_tower.transformer.resblocks.21.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
509
+ "model.vision_tower.vision_tower.transformer.resblocks.22.attn.in_proj_bias": "model-00001-of-00002.safetensors",
510
+ "model.vision_tower.vision_tower.transformer.resblocks.22.attn.in_proj_weight": "model-00001-of-00002.safetensors",
511
+ "model.vision_tower.vision_tower.transformer.resblocks.22.attn.out_proj.bias": "model-00001-of-00002.safetensors",
512
+ "model.vision_tower.vision_tower.transformer.resblocks.22.attn.out_proj.weight": "model-00001-of-00002.safetensors",
513
+ "model.vision_tower.vision_tower.transformer.resblocks.22.ln_1.bias": "model-00001-of-00002.safetensors",
514
+ "model.vision_tower.vision_tower.transformer.resblocks.22.ln_1.weight": "model-00001-of-00002.safetensors",
515
+ "model.vision_tower.vision_tower.transformer.resblocks.22.ln_2.bias": "model-00001-of-00002.safetensors",
516
+ "model.vision_tower.vision_tower.transformer.resblocks.22.ln_2.weight": "model-00001-of-00002.safetensors",
517
+ "model.vision_tower.vision_tower.transformer.resblocks.22.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
518
+ "model.vision_tower.vision_tower.transformer.resblocks.22.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
519
+ "model.vision_tower.vision_tower.transformer.resblocks.22.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
520
+ "model.vision_tower.vision_tower.transformer.resblocks.22.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
521
+ "model.vision_tower.vision_tower.transformer.resblocks.23.attn.in_proj_bias": "model-00001-of-00002.safetensors",
522
+ "model.vision_tower.vision_tower.transformer.resblocks.23.attn.in_proj_weight": "model-00001-of-00002.safetensors",
523
+ "model.vision_tower.vision_tower.transformer.resblocks.23.attn.out_proj.bias": "model-00001-of-00002.safetensors",
524
+ "model.vision_tower.vision_tower.transformer.resblocks.23.attn.out_proj.weight": "model-00001-of-00002.safetensors",
525
+ "model.vision_tower.vision_tower.transformer.resblocks.23.ln_1.bias": "model-00001-of-00002.safetensors",
526
+ "model.vision_tower.vision_tower.transformer.resblocks.23.ln_1.weight": "model-00001-of-00002.safetensors",
527
+ "model.vision_tower.vision_tower.transformer.resblocks.23.ln_2.bias": "model-00001-of-00002.safetensors",
528
+ "model.vision_tower.vision_tower.transformer.resblocks.23.ln_2.weight": "model-00001-of-00002.safetensors",
529
+ "model.vision_tower.vision_tower.transformer.resblocks.23.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
530
+ "model.vision_tower.vision_tower.transformer.resblocks.23.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
531
+ "model.vision_tower.vision_tower.transformer.resblocks.23.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
532
+ "model.vision_tower.vision_tower.transformer.resblocks.23.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
533
+ "model.vision_tower.vision_tower.transformer.resblocks.24.attn.in_proj_bias": "model-00001-of-00002.safetensors",
534
+ "model.vision_tower.vision_tower.transformer.resblocks.24.attn.in_proj_weight": "model-00001-of-00002.safetensors",
535
+ "model.vision_tower.vision_tower.transformer.resblocks.24.attn.out_proj.bias": "model-00001-of-00002.safetensors",
536
+ "model.vision_tower.vision_tower.transformer.resblocks.24.attn.out_proj.weight": "model-00001-of-00002.safetensors",
537
+ "model.vision_tower.vision_tower.transformer.resblocks.24.ln_1.bias": "model-00001-of-00002.safetensors",
538
+ "model.vision_tower.vision_tower.transformer.resblocks.24.ln_1.weight": "model-00001-of-00002.safetensors",
539
+ "model.vision_tower.vision_tower.transformer.resblocks.24.ln_2.bias": "model-00001-of-00002.safetensors",
540
+ "model.vision_tower.vision_tower.transformer.resblocks.24.ln_2.weight": "model-00001-of-00002.safetensors",
541
+ "model.vision_tower.vision_tower.transformer.resblocks.24.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
542
+ "model.vision_tower.vision_tower.transformer.resblocks.24.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
543
+ "model.vision_tower.vision_tower.transformer.resblocks.24.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
544
+ "model.vision_tower.vision_tower.transformer.resblocks.24.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
545
+ "model.vision_tower.vision_tower.transformer.resblocks.25.attn.in_proj_bias": "model-00001-of-00002.safetensors",
546
+ "model.vision_tower.vision_tower.transformer.resblocks.25.attn.in_proj_weight": "model-00001-of-00002.safetensors",
547
+ "model.vision_tower.vision_tower.transformer.resblocks.25.attn.out_proj.bias": "model-00001-of-00002.safetensors",
548
+ "model.vision_tower.vision_tower.transformer.resblocks.25.attn.out_proj.weight": "model-00001-of-00002.safetensors",
549
+ "model.vision_tower.vision_tower.transformer.resblocks.25.ln_1.bias": "model-00001-of-00002.safetensors",
550
+ "model.vision_tower.vision_tower.transformer.resblocks.25.ln_1.weight": "model-00001-of-00002.safetensors",
551
+ "model.vision_tower.vision_tower.transformer.resblocks.25.ln_2.bias": "model-00001-of-00002.safetensors",
552
+ "model.vision_tower.vision_tower.transformer.resblocks.25.ln_2.weight": "model-00001-of-00002.safetensors",
553
+ "model.vision_tower.vision_tower.transformer.resblocks.25.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
554
+ "model.vision_tower.vision_tower.transformer.resblocks.25.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
555
+ "model.vision_tower.vision_tower.transformer.resblocks.25.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
556
+ "model.vision_tower.vision_tower.transformer.resblocks.25.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
557
+ "model.vision_tower.vision_tower.transformer.resblocks.26.attn.in_proj_bias": "model-00001-of-00002.safetensors",
558
+ "model.vision_tower.vision_tower.transformer.resblocks.26.attn.in_proj_weight": "model-00001-of-00002.safetensors",
559
+ "model.vision_tower.vision_tower.transformer.resblocks.26.attn.out_proj.bias": "model-00001-of-00002.safetensors",
560
+ "model.vision_tower.vision_tower.transformer.resblocks.26.attn.out_proj.weight": "model-00001-of-00002.safetensors",
561
+ "model.vision_tower.vision_tower.transformer.resblocks.26.ln_1.bias": "model-00001-of-00002.safetensors",
562
+ "model.vision_tower.vision_tower.transformer.resblocks.26.ln_1.weight": "model-00001-of-00002.safetensors",
563
+ "model.vision_tower.vision_tower.transformer.resblocks.26.ln_2.bias": "model-00001-of-00002.safetensors",
564
+ "model.vision_tower.vision_tower.transformer.resblocks.26.ln_2.weight": "model-00001-of-00002.safetensors",
565
+ "model.vision_tower.vision_tower.transformer.resblocks.26.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
566
+ "model.vision_tower.vision_tower.transformer.resblocks.26.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
567
+ "model.vision_tower.vision_tower.transformer.resblocks.26.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
568
+ "model.vision_tower.vision_tower.transformer.resblocks.26.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
569
+ "model.vision_tower.vision_tower.transformer.resblocks.27.attn.in_proj_bias": "model-00001-of-00002.safetensors",
570
+ "model.vision_tower.vision_tower.transformer.resblocks.27.attn.in_proj_weight": "model-00001-of-00002.safetensors",
571
+ "model.vision_tower.vision_tower.transformer.resblocks.27.attn.out_proj.bias": "model-00001-of-00002.safetensors",
572
+ "model.vision_tower.vision_tower.transformer.resblocks.27.attn.out_proj.weight": "model-00001-of-00002.safetensors",
573
+ "model.vision_tower.vision_tower.transformer.resblocks.27.ln_1.bias": "model-00001-of-00002.safetensors",
574
+ "model.vision_tower.vision_tower.transformer.resblocks.27.ln_1.weight": "model-00001-of-00002.safetensors",
575
+ "model.vision_tower.vision_tower.transformer.resblocks.27.ln_2.bias": "model-00001-of-00002.safetensors",
576
+ "model.vision_tower.vision_tower.transformer.resblocks.27.ln_2.weight": "model-00001-of-00002.safetensors",
577
+ "model.vision_tower.vision_tower.transformer.resblocks.27.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
578
+ "model.vision_tower.vision_tower.transformer.resblocks.27.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
579
+ "model.vision_tower.vision_tower.transformer.resblocks.27.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
580
+ "model.vision_tower.vision_tower.transformer.resblocks.27.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
581
+ "model.vision_tower.vision_tower.transformer.resblocks.28.attn.in_proj_bias": "model-00001-of-00002.safetensors",
582
+ "model.vision_tower.vision_tower.transformer.resblocks.28.attn.in_proj_weight": "model-00001-of-00002.safetensors",
583
+ "model.vision_tower.vision_tower.transformer.resblocks.28.attn.out_proj.bias": "model-00001-of-00002.safetensors",
584
+ "model.vision_tower.vision_tower.transformer.resblocks.28.attn.out_proj.weight": "model-00001-of-00002.safetensors",
585
+ "model.vision_tower.vision_tower.transformer.resblocks.28.ln_1.bias": "model-00001-of-00002.safetensors",
586
+ "model.vision_tower.vision_tower.transformer.resblocks.28.ln_1.weight": "model-00001-of-00002.safetensors",
587
+ "model.vision_tower.vision_tower.transformer.resblocks.28.ln_2.bias": "model-00001-of-00002.safetensors",
588
+ "model.vision_tower.vision_tower.transformer.resblocks.28.ln_2.weight": "model-00001-of-00002.safetensors",
589
+ "model.vision_tower.vision_tower.transformer.resblocks.28.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
590
+ "model.vision_tower.vision_tower.transformer.resblocks.28.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
591
+ "model.vision_tower.vision_tower.transformer.resblocks.28.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
592
+ "model.vision_tower.vision_tower.transformer.resblocks.28.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
593
+ "model.vision_tower.vision_tower.transformer.resblocks.29.attn.in_proj_bias": "model-00001-of-00002.safetensors",
594
+ "model.vision_tower.vision_tower.transformer.resblocks.29.attn.in_proj_weight": "model-00001-of-00002.safetensors",
595
+ "model.vision_tower.vision_tower.transformer.resblocks.29.attn.out_proj.bias": "model-00001-of-00002.safetensors",
596
+ "model.vision_tower.vision_tower.transformer.resblocks.29.attn.out_proj.weight": "model-00001-of-00002.safetensors",
597
+ "model.vision_tower.vision_tower.transformer.resblocks.29.ln_1.bias": "model-00001-of-00002.safetensors",
598
+ "model.vision_tower.vision_tower.transformer.resblocks.29.ln_1.weight": "model-00001-of-00002.safetensors",
599
+ "model.vision_tower.vision_tower.transformer.resblocks.29.ln_2.bias": "model-00001-of-00002.safetensors",
600
+ "model.vision_tower.vision_tower.transformer.resblocks.29.ln_2.weight": "model-00001-of-00002.safetensors",
601
+ "model.vision_tower.vision_tower.transformer.resblocks.29.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
602
+ "model.vision_tower.vision_tower.transformer.resblocks.29.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
603
+ "model.vision_tower.vision_tower.transformer.resblocks.29.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
604
+ "model.vision_tower.vision_tower.transformer.resblocks.29.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
605
+ "model.vision_tower.vision_tower.transformer.resblocks.3.attn.in_proj_bias": "model-00001-of-00002.safetensors",
606
+ "model.vision_tower.vision_tower.transformer.resblocks.3.attn.in_proj_weight": "model-00001-of-00002.safetensors",
607
+ "model.vision_tower.vision_tower.transformer.resblocks.3.attn.out_proj.bias": "model-00001-of-00002.safetensors",
608
+ "model.vision_tower.vision_tower.transformer.resblocks.3.attn.out_proj.weight": "model-00001-of-00002.safetensors",
609
+ "model.vision_tower.vision_tower.transformer.resblocks.3.ln_1.bias": "model-00001-of-00002.safetensors",
610
+ "model.vision_tower.vision_tower.transformer.resblocks.3.ln_1.weight": "model-00001-of-00002.safetensors",
611
+ "model.vision_tower.vision_tower.transformer.resblocks.3.ln_2.bias": "model-00001-of-00002.safetensors",
612
+ "model.vision_tower.vision_tower.transformer.resblocks.3.ln_2.weight": "model-00001-of-00002.safetensors",
613
+ "model.vision_tower.vision_tower.transformer.resblocks.3.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
614
+ "model.vision_tower.vision_tower.transformer.resblocks.3.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
615
+ "model.vision_tower.vision_tower.transformer.resblocks.3.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
616
+ "model.vision_tower.vision_tower.transformer.resblocks.3.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
617
+ "model.vision_tower.vision_tower.transformer.resblocks.30.attn.in_proj_bias": "model-00001-of-00002.safetensors",
618
+ "model.vision_tower.vision_tower.transformer.resblocks.30.attn.in_proj_weight": "model-00001-of-00002.safetensors",
619
+ "model.vision_tower.vision_tower.transformer.resblocks.30.attn.out_proj.bias": "model-00001-of-00002.safetensors",
620
+ "model.vision_tower.vision_tower.transformer.resblocks.30.attn.out_proj.weight": "model-00001-of-00002.safetensors",
621
+ "model.vision_tower.vision_tower.transformer.resblocks.30.ln_1.bias": "model-00001-of-00002.safetensors",
622
+ "model.vision_tower.vision_tower.transformer.resblocks.30.ln_1.weight": "model-00001-of-00002.safetensors",
623
+ "model.vision_tower.vision_tower.transformer.resblocks.30.ln_2.bias": "model-00001-of-00002.safetensors",
624
+ "model.vision_tower.vision_tower.transformer.resblocks.30.ln_2.weight": "model-00001-of-00002.safetensors",
625
+ "model.vision_tower.vision_tower.transformer.resblocks.30.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
626
+ "model.vision_tower.vision_tower.transformer.resblocks.30.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
627
+ "model.vision_tower.vision_tower.transformer.resblocks.30.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
628
+ "model.vision_tower.vision_tower.transformer.resblocks.30.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
629
+ "model.vision_tower.vision_tower.transformer.resblocks.31.attn.in_proj_bias": "model-00001-of-00002.safetensors",
630
+ "model.vision_tower.vision_tower.transformer.resblocks.31.attn.in_proj_weight": "model-00001-of-00002.safetensors",
631
+ "model.vision_tower.vision_tower.transformer.resblocks.31.attn.out_proj.bias": "model-00001-of-00002.safetensors",
632
+ "model.vision_tower.vision_tower.transformer.resblocks.31.attn.out_proj.weight": "model-00001-of-00002.safetensors",
633
+ "model.vision_tower.vision_tower.transformer.resblocks.31.ln_1.bias": "model-00001-of-00002.safetensors",
634
+ "model.vision_tower.vision_tower.transformer.resblocks.31.ln_1.weight": "model-00001-of-00002.safetensors",
635
+ "model.vision_tower.vision_tower.transformer.resblocks.31.ln_2.bias": "model-00001-of-00002.safetensors",
636
+ "model.vision_tower.vision_tower.transformer.resblocks.31.ln_2.weight": "model-00001-of-00002.safetensors",
637
+ "model.vision_tower.vision_tower.transformer.resblocks.31.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
638
+ "model.vision_tower.vision_tower.transformer.resblocks.31.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
639
+ "model.vision_tower.vision_tower.transformer.resblocks.31.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
640
+ "model.vision_tower.vision_tower.transformer.resblocks.31.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
641
+ "model.vision_tower.vision_tower.transformer.resblocks.4.attn.in_proj_bias": "model-00001-of-00002.safetensors",
642
+ "model.vision_tower.vision_tower.transformer.resblocks.4.attn.in_proj_weight": "model-00001-of-00002.safetensors",
643
+ "model.vision_tower.vision_tower.transformer.resblocks.4.attn.out_proj.bias": "model-00001-of-00002.safetensors",
644
+ "model.vision_tower.vision_tower.transformer.resblocks.4.attn.out_proj.weight": "model-00001-of-00002.safetensors",
645
+ "model.vision_tower.vision_tower.transformer.resblocks.4.ln_1.bias": "model-00001-of-00002.safetensors",
646
+ "model.vision_tower.vision_tower.transformer.resblocks.4.ln_1.weight": "model-00001-of-00002.safetensors",
647
+ "model.vision_tower.vision_tower.transformer.resblocks.4.ln_2.bias": "model-00001-of-00002.safetensors",
648
+ "model.vision_tower.vision_tower.transformer.resblocks.4.ln_2.weight": "model-00001-of-00002.safetensors",
649
+ "model.vision_tower.vision_tower.transformer.resblocks.4.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
650
+ "model.vision_tower.vision_tower.transformer.resblocks.4.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
651
+ "model.vision_tower.vision_tower.transformer.resblocks.4.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
652
+ "model.vision_tower.vision_tower.transformer.resblocks.4.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
653
+ "model.vision_tower.vision_tower.transformer.resblocks.5.attn.in_proj_bias": "model-00001-of-00002.safetensors",
654
+ "model.vision_tower.vision_tower.transformer.resblocks.5.attn.in_proj_weight": "model-00001-of-00002.safetensors",
655
+ "model.vision_tower.vision_tower.transformer.resblocks.5.attn.out_proj.bias": "model-00001-of-00002.safetensors",
656
+ "model.vision_tower.vision_tower.transformer.resblocks.5.attn.out_proj.weight": "model-00001-of-00002.safetensors",
657
+ "model.vision_tower.vision_tower.transformer.resblocks.5.ln_1.bias": "model-00001-of-00002.safetensors",
658
+ "model.vision_tower.vision_tower.transformer.resblocks.5.ln_1.weight": "model-00001-of-00002.safetensors",
659
+ "model.vision_tower.vision_tower.transformer.resblocks.5.ln_2.bias": "model-00001-of-00002.safetensors",
660
+ "model.vision_tower.vision_tower.transformer.resblocks.5.ln_2.weight": "model-00001-of-00002.safetensors",
661
+ "model.vision_tower.vision_tower.transformer.resblocks.5.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
662
+ "model.vision_tower.vision_tower.transformer.resblocks.5.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
663
+ "model.vision_tower.vision_tower.transformer.resblocks.5.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
664
+ "model.vision_tower.vision_tower.transformer.resblocks.5.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
665
+ "model.vision_tower.vision_tower.transformer.resblocks.6.attn.in_proj_bias": "model-00001-of-00002.safetensors",
666
+ "model.vision_tower.vision_tower.transformer.resblocks.6.attn.in_proj_weight": "model-00001-of-00002.safetensors",
667
+ "model.vision_tower.vision_tower.transformer.resblocks.6.attn.out_proj.bias": "model-00001-of-00002.safetensors",
668
+ "model.vision_tower.vision_tower.transformer.resblocks.6.attn.out_proj.weight": "model-00001-of-00002.safetensors",
669
+ "model.vision_tower.vision_tower.transformer.resblocks.6.ln_1.bias": "model-00001-of-00002.safetensors",
670
+ "model.vision_tower.vision_tower.transformer.resblocks.6.ln_1.weight": "model-00001-of-00002.safetensors",
671
+ "model.vision_tower.vision_tower.transformer.resblocks.6.ln_2.bias": "model-00001-of-00002.safetensors",
672
+ "model.vision_tower.vision_tower.transformer.resblocks.6.ln_2.weight": "model-00001-of-00002.safetensors",
673
+ "model.vision_tower.vision_tower.transformer.resblocks.6.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
674
+ "model.vision_tower.vision_tower.transformer.resblocks.6.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
675
+ "model.vision_tower.vision_tower.transformer.resblocks.6.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
676
+ "model.vision_tower.vision_tower.transformer.resblocks.6.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
677
+ "model.vision_tower.vision_tower.transformer.resblocks.7.attn.in_proj_bias": "model-00001-of-00002.safetensors",
678
+ "model.vision_tower.vision_tower.transformer.resblocks.7.attn.in_proj_weight": "model-00001-of-00002.safetensors",
679
+ "model.vision_tower.vision_tower.transformer.resblocks.7.attn.out_proj.bias": "model-00001-of-00002.safetensors",
680
+ "model.vision_tower.vision_tower.transformer.resblocks.7.attn.out_proj.weight": "model-00001-of-00002.safetensors",
681
+ "model.vision_tower.vision_tower.transformer.resblocks.7.ln_1.bias": "model-00001-of-00002.safetensors",
682
+ "model.vision_tower.vision_tower.transformer.resblocks.7.ln_1.weight": "model-00001-of-00002.safetensors",
683
+ "model.vision_tower.vision_tower.transformer.resblocks.7.ln_2.bias": "model-00001-of-00002.safetensors",
684
+ "model.vision_tower.vision_tower.transformer.resblocks.7.ln_2.weight": "model-00001-of-00002.safetensors",
685
+ "model.vision_tower.vision_tower.transformer.resblocks.7.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
686
+ "model.vision_tower.vision_tower.transformer.resblocks.7.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
687
+ "model.vision_tower.vision_tower.transformer.resblocks.7.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
688
+ "model.vision_tower.vision_tower.transformer.resblocks.7.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
689
+ "model.vision_tower.vision_tower.transformer.resblocks.8.attn.in_proj_bias": "model-00001-of-00002.safetensors",
690
+ "model.vision_tower.vision_tower.transformer.resblocks.8.attn.in_proj_weight": "model-00001-of-00002.safetensors",
691
+ "model.vision_tower.vision_tower.transformer.resblocks.8.attn.out_proj.bias": "model-00001-of-00002.safetensors",
692
+ "model.vision_tower.vision_tower.transformer.resblocks.8.attn.out_proj.weight": "model-00001-of-00002.safetensors",
693
+ "model.vision_tower.vision_tower.transformer.resblocks.8.ln_1.bias": "model-00001-of-00002.safetensors",
694
+ "model.vision_tower.vision_tower.transformer.resblocks.8.ln_1.weight": "model-00001-of-00002.safetensors",
695
+ "model.vision_tower.vision_tower.transformer.resblocks.8.ln_2.bias": "model-00001-of-00002.safetensors",
696
+ "model.vision_tower.vision_tower.transformer.resblocks.8.ln_2.weight": "model-00001-of-00002.safetensors",
697
+ "model.vision_tower.vision_tower.transformer.resblocks.8.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
698
+ "model.vision_tower.vision_tower.transformer.resblocks.8.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
699
+ "model.vision_tower.vision_tower.transformer.resblocks.8.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
700
+ "model.vision_tower.vision_tower.transformer.resblocks.8.mlp.c_proj.weight": "model-00001-of-00002.safetensors",
701
+ "model.vision_tower.vision_tower.transformer.resblocks.9.attn.in_proj_bias": "model-00001-of-00002.safetensors",
702
+ "model.vision_tower.vision_tower.transformer.resblocks.9.attn.in_proj_weight": "model-00001-of-00002.safetensors",
703
+ "model.vision_tower.vision_tower.transformer.resblocks.9.attn.out_proj.bias": "model-00001-of-00002.safetensors",
704
+ "model.vision_tower.vision_tower.transformer.resblocks.9.attn.out_proj.weight": "model-00001-of-00002.safetensors",
705
+ "model.vision_tower.vision_tower.transformer.resblocks.9.ln_1.bias": "model-00001-of-00002.safetensors",
706
+ "model.vision_tower.vision_tower.transformer.resblocks.9.ln_1.weight": "model-00001-of-00002.safetensors",
707
+ "model.vision_tower.vision_tower.transformer.resblocks.9.ln_2.bias": "model-00001-of-00002.safetensors",
708
+ "model.vision_tower.vision_tower.transformer.resblocks.9.ln_2.weight": "model-00001-of-00002.safetensors",
709
+ "model.vision_tower.vision_tower.transformer.resblocks.9.mlp.c_fc.bias": "model-00001-of-00002.safetensors",
710
+ "model.vision_tower.vision_tower.transformer.resblocks.9.mlp.c_fc.weight": "model-00001-of-00002.safetensors",
711
+ "model.vision_tower.vision_tower.transformer.resblocks.9.mlp.c_proj.bias": "model-00001-of-00002.safetensors",
712
+ "model.vision_tower.vision_tower.transformer.resblocks.9.mlp.c_proj.weight": "model-00001-of-00002.safetensors"
713
+ }
714
+ }
continuous/qwen3/mc2_h14_378/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen3/mc2_h14_378/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/mc2_h14_378/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/mc2_h14_378/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 10.239805221557617,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.6496,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 3.7262890338897705,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.922,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 2.285139560699463,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.5233,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 0.7836734056472778,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.1825,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.48453113436698914,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0671,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.25541919469833374,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.9906,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.20451484620571136,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.9485,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.17761553823947906,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.9448,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.19146940112113953,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.9172,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.1735222190618515,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8921,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.17756135761737823,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.8686,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.16893678903579712,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8763,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.15946023166179657,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8688,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.16416452825069427,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8645,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.18279142677783966,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8609,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.17308710515499115,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8546,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.1441011279821396,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8523,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.1650390326976776,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8767,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.17319875955581665,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8764,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.15899081528186798,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8548,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.1421322375535965,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8607,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.1572618931531906,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.8388,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.17247164249420166,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.846,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.18206538259983063,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8325,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.16972701251506805,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8488,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.14570847153663635,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8522,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.15463249385356903,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.8372,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.1552465260028839,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8405,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.15678738057613373,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8532,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.16120101511478424,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.8153,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.1610136181116104,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.8317,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.15977126359939575,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.8271,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.1503450572490692,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.8298,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.14118248224258423,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8388,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.16206443309783936,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8436,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.1374741494655609,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.8278,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.15329225361347198,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8525,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.14636710286140442,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.8209,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.14734572172164917,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.8265,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.14635911583900452,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.8285,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.13492073118686676,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.8084,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.13152989745140076,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.8251,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.15539216995239258,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.8171,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.16300219297409058,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.8179,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.1494835764169693,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.8016,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.16662326455116272,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.8178,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.15857912600040436,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.8231,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.13895219564437866,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.817,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.1402507871389389,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.8068,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.13729862868785858,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.8087,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.14094950258731842,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.7951,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.1436399221420288,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.8362,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.15702266991138458,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.8017,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.15012787282466888,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.822,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.1375962346792221,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.8259,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.1393718123435974,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8265,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.1519121676683426,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8365,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.14226572215557098,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.8114,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.1538923680782318,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.8291,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.16730016469955444,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.8236,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.1477966606616974,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8343,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.1419568806886673,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.8266,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.14538662135601044,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.8326,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.132072314620018,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.8256,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.13107925653457642,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7815,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.15237976610660553,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.8105,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.18153919279575348,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.8245,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.12988735735416412,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.8006,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.1327754259109497,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.8142,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.14275160431861877,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.8207,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.1348872184753418,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.8054,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.12930923700332642,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.8078,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.1490335315465927,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.8183,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.1500050127506256,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.7996,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.1399359405040741,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.8007,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.14406132698059082,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7918,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.15483282506465912,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.8109,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.14815092086791992,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.8041,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.1629728376865387,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.794,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.15949465334415436,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.8199,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.14297303557395935,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.8069,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.14033299684524536,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.8085,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.14030049741268158,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7961,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.141440749168396,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.8013,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.13020005822181702,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.8009,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.1401718407869339,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7946,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.1414349526166916,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.7924,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.12491948902606964,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7988,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.13912899792194366,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.79,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.13653822243213654,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.7945,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.14164769649505615,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.795,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.1413029432296753,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.783,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.1440911591053009,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7756,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.14994767308235168,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.813,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.13091829419136047,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.8238,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.14799842238426208,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.8009,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.14040197432041168,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7826,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.13302187621593475,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7914,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.1459832787513733,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7784,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.13091851770877838,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.8018,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.14620435237884521,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.8211,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.13758419454097748,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.7977,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.13352185487747192,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.8087,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.1390995979309082,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.8073,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.1256643533706665,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7979,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.13719214498996735,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.8027,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.13935986161231995,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7855,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.1446421593427658,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.8178,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.1492662876844406,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7925,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.15231294929981232,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.8136,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.14420637488365173,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.8066,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.15447750687599182,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.801,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.14134666323661804,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7881,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.13190104067325592,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.7945,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.12899965047836304,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.79,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.15281686186790466,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8179,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.13590531051158905,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.8247,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.12354939430952072,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7964,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.14219610393047333,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7784,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.14620943367481232,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7854,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.13813823461532593,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7914,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.1335328370332718,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.8058,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.13793028891086578,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.808,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.12669743597507477,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7864,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.13357707858085632,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7841,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.1415117383003235,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7834,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.15428930521011353,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.775,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.14762918651103973,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7808,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.13139815628528595,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.8019,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.14074364304542542,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7943,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.1478090137243271,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.8091,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.1555299162864685,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7851,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.15312159061431885,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7882,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.13702252507209778,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.793,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.14805445075035095,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7822,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.15615208446979523,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7974,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.1494620442390442,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.8038,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.12665468454360962,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.8062,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.14424964785575867,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7819,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.1356794834136963,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7886,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.14265860617160797,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.8039,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.15258218348026276,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7897,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.14812804758548737,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7993,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.14322498440742493,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.8012,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.173824742436409,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7859,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.12926770746707916,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7898,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.13061374425888062,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.786,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.14013013243675232,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7857,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.13764025270938873,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7908,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.13493385910987854,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7982,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.13432228565216064,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7879,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.14636914432048798,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.797,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.15518972277641296,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7983,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.13408838212490082,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.8032,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.13932813704013824,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.797,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.13751046359539032,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.8119,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.15106604993343353,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7967,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.1363649070262909,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7981,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.12219467014074326,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7962,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.13305144011974335,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.779,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.12293121963739395,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7628,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.1354309320449829,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7651,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.13088493049144745,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7999,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.12868967652320862,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7828,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.14205335080623627,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7926,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.13787361979484558,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7789,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.1426582634449005,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.8006,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.13891686499118805,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7888,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.1449626088142395,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7763,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.12573854625225067,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7747,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.14211127161979675,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7934,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.1389818638563156,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7839,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.12983375787734985,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7897,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.14210471510887146,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7935,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.1384427696466446,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7878,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.12455567717552185,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7744,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.13967594504356384,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.8141,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.14710889756679535,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7984,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.1304047554731369,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.8105,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.13599811494350433,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.777,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.13404828310012817,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7706,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.13723786175251007,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7957,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.1350916475057602,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7896,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.1407240480184555,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7881,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.13579164445400238,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.7974,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.13240160048007965,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7936,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.13771021366119385,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7897,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.1487494707107544,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7937,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.1375429332256317,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7813,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.1419457644224167,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7893,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.12965650856494904,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7906,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.14045630395412445,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7805,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.1372210681438446,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7977,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.13613587617874146,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.8067,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.14294028282165527,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7933,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.14036765694618225,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.8092,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.1360415518283844,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.802,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.13754723966121674,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7896,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.15682174265384674,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7914,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.13540446758270264,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7899,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.1260048747062683,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7882,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.13515381515026093,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7766,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.1370023936033249,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7655,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.14078304171562195,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7822,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.12863022089004517,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7875,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.12404927611351013,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7714,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.15145590901374817,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.7852,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.1352020502090454,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7672,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.1346360146999359,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7926,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.13695302605628967,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.786,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.132505863904953,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7963,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.13822650909423828,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7949,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.13586057722568512,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7817,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.15184904634952545,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7927,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.144210085272789,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7785,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.13371028006076813,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7925,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.1298682987689972,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7966,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.13028740882873535,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7842,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.14026489853858948,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7964,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.14467112720012665,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7787,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.14305898547172546,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7668,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.1252230405807495,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.791,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.14678342640399933,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7811,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.13936232030391693,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.8002,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.13745880126953125,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7831,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.14044199883937836,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7722,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.13185228407382965,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7787,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.12850144505500793,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7908,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.1313028335571289,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7964,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.12733328342437744,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7762,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.12479226291179657,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7786,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.12567076086997986,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7893,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.13714465498924255,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7994,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.13255982100963593,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7911,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.1359822303056717,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7709,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.12995357811450958,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7901,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.14315855503082275,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7739,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.14017386734485626,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7797,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.12661603093147278,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7977,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.13592569530010223,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.788,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.1343042254447937,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7768,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.12327102571725845,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.8008,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.13680343329906464,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7965,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.13609623908996582,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7849,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.1429198980331421,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7844,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.140077605843544,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.8025,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.13803914189338684,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7886,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.13122986257076263,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.784,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.14976899325847626,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7864,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.1372964084148407,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7768,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.1306471824645996,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7756,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.12621468305587769,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7905,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.13574396073818207,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7789,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.127005472779274,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7841,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.12407071888446808,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7947,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.12473104149103165,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7746,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.13957831263542175,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7774,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.12257251888513565,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7671,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.1390281319618225,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7932,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 4.083574038318809e+18,
1829
+ "train_loss": 0.8208777617159649,
1830
+ "train_runtime": 16092.3344,
1831
+ "train_samples_per_second": 41.318,
1832
+ "train_steps_per_second": 0.161
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 4.083574038318809e+18,
1853
+ "train_batch_size": 4,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/mc2_h14_378/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c9264cb3b313ce2f7f9159ba4fdb57360a153f5abaffe91f17c726b4c78f91d
3
+ size 6136
continuous/qwen3/mc2_h14_378/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/mc2_h14_378/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 1280,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-H-14-worldwide-378",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_h14_378.pt",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/mc2_h14_378/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6783f3e38fa38d7c6de43808e93b4a7f53f9bc89d4d87fff8283aabafa96de97
3
+ size 27281464
continuous/qwen3/mc2_h14_378/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 0.42371100187301636,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 9.1504,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.1479865461587906,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 5.6256,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.04121469706296921,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 4.9642,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.05725841224193573,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.8181,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.02850869670510292,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.7523,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.015091827139258385,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.7199,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.07685502618551254,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.6826,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.018897874280810356,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.6677,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.03871753811836243,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.6463,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.04579046368598938,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.6295,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.05107562243938446,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.5952,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.0480436310172081,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.5763,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.03307349979877472,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.5473,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.04237901791930199,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.5216,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.04316609725356102,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.509,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.07799968123435974,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.4855,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.04152051731944084,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.4659,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.06449169665575027,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.4396,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.04165741801261902,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.4288,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.04213886335492134,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.3931,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.038481734693050385,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.3732,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.05347040295600891,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.3779,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.04301167652010918,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.3656,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.043588053435087204,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.3415,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.04874352738261223,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.3171,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.03259924054145813,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.3232,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.034871794283390045,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.2963,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.03127312287688255,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 4.2866,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.03340888395905495,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 4.2688,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.03931131958961487,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 4.2634,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.03873540833592415,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 4.2744,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.029258327558636665,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 4.2621,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.026353415101766586,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 4.2395,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.029283620417118073,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 4.2398,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.02842608094215393,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 4.2385,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.03155658766627312,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 4.2442,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.024778639897704124,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 4.223,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.030074341222643852,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 4.2374,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.03499709069728851,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 4.2168,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.030278515070676804,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 4.2196,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.03196336328983307,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 4.217,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.027287527918815613,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 4.2089,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.024377185851335526,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 4.2125,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.025281816720962524,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 4.2202,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.024551551789045334,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 4.2089,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.022201765328645706,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 4.2016,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.02687288634479046,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 4.1906,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.02313816174864769,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 4.201,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.02198879048228264,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 4.1995,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.0225325096398592,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 4.2135,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.022999776527285576,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 4.2037,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.02260691672563553,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 4.1925,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.022257601842284203,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 4.1937,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.021725045517086983,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 4.2009,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.5902605350037094e+17,
394
+ "train_loss": 4.480776645065448,
395
+ "train_runtime": 6568.7705,
396
+ "train_samples_per_second": 84.967,
397
+ "train_steps_per_second": 0.083
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.5902605350037094e+17,
418
+ "train_batch_size": 8,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/mc2_l14_224/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/mc2_l14_224/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 1024,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_l14_224.pt",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/mc2_l14_224/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/mc2_l14_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/mc2_l14_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b4fc0c4d118a3a5407320b682662ef78df7f2566e070df92d6712f674f88184
3
+ size 4696673872
continuous/qwen3/mc2_l14_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen3/mc2_l14_224/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/mc2_l14_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/mc2_l14_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 19.79184341430664,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.6348,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 6.341690540313721,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 2.0129,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 4.526823997497559,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.51,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 1.1280349493026733,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.1747,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.7391446232795715,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0718,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.39864447712898254,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.986,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.3084148168563843,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.9356,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.2990218997001648,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.9309,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.2780090272426605,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.8979,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.24935807287693024,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8789,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.26973283290863037,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.86,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.24616661667823792,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8691,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.25066259503364563,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.8648,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.28245049715042114,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8587,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.29467615485191345,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8449,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.257530152797699,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8491,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.22230692207813263,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.85,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.2579823136329651,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.877,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.256746381521225,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8668,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.2952767312526703,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8563,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.24737772345542908,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8509,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.2504301965236664,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.8382,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.2495463490486145,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8393,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.24468041956424713,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8341,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.29563626646995544,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8504,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.24205781519412994,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8475,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.24268938601016998,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.835,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.23990951478481293,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8348,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.25300315022468567,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.852,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.22314424812793732,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.8133,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.2356373518705368,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.8265,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.25164154171943665,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.8261,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.26003730297088623,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.8265,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.23910772800445557,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8373,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.2616579830646515,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8374,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.24132589995861053,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.8239,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.25307944416999817,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8503,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.23904776573181152,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.8101,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.23685136437416077,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.817,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.23827877640724182,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.82,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.23255571722984314,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.8097,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.2344449758529663,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.826,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.2431863248348236,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.8155,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.24152682721614838,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.813,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.2492619901895523,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.8034,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.23506779968738556,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.8085,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.24165698885917664,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.8167,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.2382257878780365,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.8152,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.22803795337677002,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.802,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.22222229838371277,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.8073,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.2322579324245453,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.8021,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.24413122236728668,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.8319,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.2532041072845459,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.8035,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.25332382321357727,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.8173,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.22490622103214264,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.819,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.2185283750295639,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8236,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.2579803466796875,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8319,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.2508712708950043,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.812,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.24880196154117584,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.8221,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.23069332540035248,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.8128,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.25827839970588684,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8323,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.23462145030498505,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.8183,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.2504104971885681,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.834,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.23117466270923615,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.8231,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.2247200757265091,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7805,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.2575814723968506,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.8164,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.25640708208084106,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.8221,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.23116858303546906,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7917,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.24693791568279266,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.8167,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.24754402041435242,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.822,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.23752228915691376,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.8016,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.21996991336345673,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.8056,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.2329818308353424,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.8115,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.23024459183216095,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.8001,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.2226322442293167,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.7999,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.2354160100221634,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7922,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.23037636280059814,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.8097,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.2321627140045166,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.8065,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.2403370589017868,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7905,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.22592222690582275,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.8183,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.23806729912757874,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.8109,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.22496743500232697,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.8025,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.23336046934127808,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.7905,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.24823102355003357,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7957,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.2368079572916031,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.8058,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.23666667938232422,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.7889,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.23386090993881226,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.8006,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.2251926064491272,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7947,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.230204775929451,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7955,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.22313480079174042,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.8001,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.23587562143802643,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7902,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.24195075035095215,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7888,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.24929076433181763,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7746,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.2498975545167923,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.8087,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.2354947328567505,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.8237,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.2525039315223694,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.8071,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.2385227233171463,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.7881,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.2302110195159912,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.7933,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.24021956324577332,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7799,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.23409691452980042,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7963,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.2414340227842331,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.8189,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.242491215467453,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.8098,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.23040764033794403,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.8067,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.23939909040927887,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.798,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.2218620777130127,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7946,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.21917887032032013,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.8006,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.23311498761177063,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7937,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.23265351355075836,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.8161,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.26503854990005493,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7963,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.24315175414085388,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.8108,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.24192595481872559,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.8066,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.253692626953125,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.8029,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.2414553314447403,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7815,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.23615378141403198,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.8037,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.2203551083803177,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7936,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.26320552825927734,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8167,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.22850251197814941,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.828,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.227044016122818,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.8025,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.2402268350124359,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.782,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.24159236252307892,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7922,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.24446304142475128,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7969,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.22982114553451538,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.813,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.23523172736167908,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.8146,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.22839456796646118,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7859,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.22501277923583984,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7848,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.2500593960285187,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.79,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.2635622024536133,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7762,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.2632523477077484,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7844,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.23444679379463196,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7947,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.2246859222650528,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.7942,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.23471280932426453,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.8098,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.2407495528459549,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7768,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.26251131296157837,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7887,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.23856370151042938,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7948,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.2380622774362564,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7865,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.2565951645374298,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.8052,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.24584832787513733,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.8042,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.22715476155281067,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.8094,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.24714422225952148,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7888,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.23103509843349457,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7884,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.24038435518741608,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.8031,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.24905183911323547,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.7888,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.28134477138519287,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.8039,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.2530960142612457,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.8053,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.26474103331565857,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7913,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.2411193549633026,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7937,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.23446902632713318,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.791,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.2463819980621338,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7879,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.2318504899740219,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7929,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.23570016026496887,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.8007,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.23344284296035767,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7947,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.23675939440727234,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.802,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.24015510082244873,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.8049,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.2332915961742401,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.8074,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.2314557284116745,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7944,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.22771933674812317,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.8131,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.24463161826133728,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.8062,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.2524418830871582,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7968,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.20595966279506683,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7986,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.231485977768898,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7856,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.21625636518001556,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.769,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.24160811305046082,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7681,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.23286288976669312,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7982,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.21974439918994904,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7895,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.24553722143173218,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7973,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.24239341914653778,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7788,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.2442914843559265,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.7999,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.24031966924667358,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.7969,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.25379085540771484,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7869,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.21629001200199127,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7851,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.24450668692588806,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7989,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.25176525115966797,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.789,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.23535434901714325,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7954,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.2267545461654663,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7927,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.24057923257350922,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7892,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.22840392589569092,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7776,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.24809467792510986,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.8213,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.2365812063217163,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.8067,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.23032653331756592,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.8176,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.2400519996881485,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7821,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.2368413358926773,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7717,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.22876349091529846,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7972,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.22780956327915192,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7852,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.25013190507888794,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7901,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.24060063064098358,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.8037,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.23506894707679749,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7939,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.24514800310134888,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.7925,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.21959026157855988,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7979,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.2392028570175171,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7834,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.24447238445281982,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7893,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.22846662998199463,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.7891,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.23552203178405762,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7804,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.24262794852256775,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.8004,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.2340243011713028,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.8087,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.24299858510494232,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7953,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.25273993611335754,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.8127,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.2365594059228897,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.8005,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.24935095012187958,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.8006,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.2501228153705597,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7937,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.23038862645626068,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7853,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.22457218170166016,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7931,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.21993689239025116,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7813,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.23017768561840057,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.7672,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.23289257287979126,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.7842,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.22083888947963715,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7879,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.2122008353471756,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7745,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.2593449652194977,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.796,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.22876858711242676,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7755,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.23252536356449127,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7981,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.22701573371887207,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7866,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.22942154109477997,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7949,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.24092769622802734,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7982,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.2467198222875595,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.786,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.2407129555940628,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7877,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.24136090278625488,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7813,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.22663679718971252,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.798,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.22803762555122375,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7993,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.23298944532871246,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7893,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.22421827912330627,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7975,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.25587308406829834,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.79,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.2331983596086502,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7628,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.22114115953445435,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7968,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.24111635982990265,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7899,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.23629552125930786,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.8021,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.2360439896583557,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7858,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.23215076327323914,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7748,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.243072509765625,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7862,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.2262149453163147,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7942,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.23143689334392548,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7992,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.22167249023914337,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.7756,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.22288759052753448,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7875,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.2282417267560959,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.7954,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.23069989681243896,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7988,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.24257265031337738,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7936,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.22323960065841675,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7737,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.22651095688343048,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7882,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.252742201089859,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7796,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.23900404572486877,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7876,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.23098358511924744,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7984,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.25214311480522156,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7992,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.22786889970302582,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7825,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.22502072155475616,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.8036,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.2321796864271164,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.8008,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.2391970157623291,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.79,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.2453995794057846,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7865,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.23847082257270813,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.8071,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.24866542220115662,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.8014,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.23370376229286194,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7844,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.2773272693157196,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.79,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.2278584986925125,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7834,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.23154611885547638,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.777,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.23624077439308167,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7992,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.22888708114624023,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7827,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.22431617975234985,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7863,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.22358852624893188,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7965,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.23945052921772003,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7874,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.23508386313915253,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.7759,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.21108676493167877,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7714,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.25175976753234863,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.8013,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 4.3217624287286395e+18,
1829
+ "train_loss": 0.8216921990313436,
1830
+ "train_runtime": 10886.4378,
1831
+ "train_samples_per_second": 61.076,
1832
+ "train_steps_per_second": 0.239
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 4.3217624287286395e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/mc2_l14_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e99ab262737247aa77b67532397105fb504b37cf6976195b739885e868e950c
3
+ size 6136
continuous/qwen3/mc2_l14_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/mc2_l14_224/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 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": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-L-14",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_l14_224.pt",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/mc2_l14_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24a6e7c16e33cd6afafa8c300df52f4c373122f553b82bae9d865e8a0133cd0c
3
+ size 25184312
continuous/qwen3/mc2_l14_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 12.372112274169922,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 8.8013,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 1.9714665412902832,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 5.5922,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.13537639379501343,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 4.871,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.12968586385250092,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.7061,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.10379946976900101,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.6324,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.09616631269454956,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.5845,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.12307918816804886,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.5289,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.12561112642288208,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.4944,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.09960111975669861,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.445,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.10494697839021683,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.4121,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.13056960701942444,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.3755,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.21604369580745697,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.3557,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.17312116920948029,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.3204,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.16003553569316864,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.2972,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.1496351659297943,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.2863,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.14091233909130096,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.2638,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.14212998747825623,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.2461,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.13819803297519684,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.2292,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.13595464825630188,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.2216,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.14357292652130127,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.1997,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.14223651587963104,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.1883,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.12323244661092758,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.201,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.13006684184074402,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.1943,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.14380347728729248,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.1782,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.12392624467611313,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.161,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.11815076321363449,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.1726,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.16648714244365692,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.1508,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.11089617013931274,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 4.147,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.13568514585494995,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 4.1347,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.15855349600315094,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 4.1338,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.13085976243019104,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 4.1465,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.14032915234565735,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 4.1369,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.11636923253536224,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 4.1191,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.17285268008708954,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 4.1207,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.14340779185295105,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 4.121,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.14484703540802002,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 4.1282,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.10880780220031738,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 4.1125,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.13657166063785553,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 4.1267,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.11751321703195572,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 4.1062,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.10982247442007065,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 4.1118,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.10838630050420761,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 4.1082,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.10520922392606735,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 4.0996,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.10388272255659103,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 4.1065,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.12091171741485596,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 4.1119,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.11123461276292801,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 4.1038,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.11209961026906967,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 4.0953,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.10920216888189316,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 4.0842,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.1166127622127533,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 4.0946,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.10020587593317032,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 4.0957,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.10208002477884293,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 4.1067,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.10199034214019775,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 4.0963,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.09626436233520508,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 4.0893,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.10138488560914993,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 4.0903,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.10531555861234665,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 4.0972,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 3.4196958409549414e+17,
394
+ "train_loss": 4.334117766914018,
395
+ "train_runtime": 5639.2018,
396
+ "train_samples_per_second": 98.973,
397
+ "train_steps_per_second": 0.097
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 3.4196958409549414e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/mc2_m16_224/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/mc2_m16_224/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 512,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224.pt",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/mc2_m16_224/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/mc2_m16_224/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/mc2_m16_224/finetune/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bed35a115940572a9da6bbbc45a48286e6166f50140ce54e7a5978704a86da2b
3
+ size 4161700600
continuous/qwen3/mc2_m16_224/finetune/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
continuous/qwen3/mc2_m16_224/finetune/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
continuous/qwen3/mc2_m16_224/finetune/tokenizer_config.json ADDED
@@ -0,0 +1,241 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
231
+ "clean_up_tokenization_spaces": false,
232
+ "eos_token": "<|im_end|>",
233
+ "errors": "replace",
234
+ "extra_special_tokens": {},
235
+ "model_max_length": 8192,
236
+ "pad_token": "<|endoftext|>",
237
+ "padding_side": "right",
238
+ "split_special_tokens": false,
239
+ "tokenizer_class": "Qwen2Tokenizer",
240
+ "unk_token": null
241
+ }
continuous/qwen3/mc2_m16_224/finetune/trainer_state.json ADDED
@@ -0,0 +1,1856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.9999037443449803,
6
+ "eval_steps": 500,
7
+ "global_step": 2597,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003850226200789296,
14
+ "grad_norm": 17.964662551879883,
15
+ "learning_rate": 1.153846153846154e-06,
16
+ "loss": 2.2898,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007700452401578592,
21
+ "grad_norm": 6.60088586807251,
22
+ "learning_rate": 2.435897435897436e-06,
23
+ "loss": 1.9065,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.01155067860236789,
28
+ "grad_norm": 4.47412109375,
29
+ "learning_rate": 3.7179487179487184e-06,
30
+ "loss": 1.5494,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015400904803157185,
35
+ "grad_norm": 1.1584409475326538,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.212,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019251131003946483,
42
+ "grad_norm": 0.7746429443359375,
43
+ "learning_rate": 6.282051282051282e-06,
44
+ "loss": 1.0901,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.02310135720473578,
49
+ "grad_norm": 0.4157203733921051,
50
+ "learning_rate": 7.564102564102564e-06,
51
+ "loss": 0.998,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026951583405525073,
56
+ "grad_norm": 0.3320835828781128,
57
+ "learning_rate": 8.846153846153847e-06,
58
+ "loss": 0.9456,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.03080180960631437,
63
+ "grad_norm": 0.30085793137550354,
64
+ "learning_rate": 9.999996111488723e-06,
65
+ "loss": 0.9434,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.034652035807103666,
70
+ "grad_norm": 0.2820378541946411,
71
+ "learning_rate": 9.999529497453782e-06,
72
+ "loss": 0.9089,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.038502262007892966,
77
+ "grad_norm": 0.2616160809993744,
78
+ "learning_rate": 9.998285264324193e-06,
79
+ "loss": 0.8907,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04235248820868226,
84
+ "grad_norm": 0.25084689259529114,
85
+ "learning_rate": 9.996263605626052e-06,
86
+ "loss": 0.871,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04620271440947156,
91
+ "grad_norm": 0.2508465051651001,
92
+ "learning_rate": 9.99346483580503e-06,
93
+ "loss": 0.8803,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.05005294061026085,
98
+ "grad_norm": 0.2566666603088379,
99
+ "learning_rate": 9.989889390177467e-06,
100
+ "loss": 0.876,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.053903166811050146,
105
+ "grad_norm": 0.27821531891822815,
106
+ "learning_rate": 9.985537824862647e-06,
107
+ "loss": 0.8693,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.057753393011839446,
112
+ "grad_norm": 0.2955886721611023,
113
+ "learning_rate": 9.980410816696317e-06,
114
+ "loss": 0.8543,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.06160361921262874,
119
+ "grad_norm": 0.25568777322769165,
120
+ "learning_rate": 9.97450916312541e-06,
121
+ "loss": 0.8588,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.06545384541341803,
126
+ "grad_norm": 0.2242199033498764,
127
+ "learning_rate": 9.967833782084004e-06,
128
+ "loss": 0.8593,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06930407161420733,
133
+ "grad_norm": 0.2685142755508423,
134
+ "learning_rate": 9.960385711850554e-06,
135
+ "loss": 0.8868,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07315429781499663,
140
+ "grad_norm": 0.25718340277671814,
141
+ "learning_rate": 9.952166110886394e-06,
142
+ "loss": 0.8756,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07700452401578593,
147
+ "grad_norm": 0.2821897864341736,
148
+ "learning_rate": 9.943176257655567e-06,
149
+ "loss": 0.8653,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08085475021657522,
154
+ "grad_norm": 0.2523501217365265,
155
+ "learning_rate": 9.933417550425952e-06,
156
+ "loss": 0.8593,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08470497641736452,
161
+ "grad_norm": 0.256017804145813,
162
+ "learning_rate": 9.9228915070518e-06,
163
+ "loss": 0.847,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08855520261815382,
168
+ "grad_norm": 0.2521305978298187,
169
+ "learning_rate": 9.911599764737632e-06,
170
+ "loss": 0.8474,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.09240542881894312,
175
+ "grad_norm": 0.2510559558868408,
176
+ "learning_rate": 9.899544079783606e-06,
177
+ "loss": 0.8422,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.0962556550197324,
182
+ "grad_norm": 0.2893846333026886,
183
+ "learning_rate": 9.886726327312338e-06,
184
+ "loss": 0.8578,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.1001058812205217,
189
+ "grad_norm": 0.24457940459251404,
190
+ "learning_rate": 9.87314850097724e-06,
191
+ "loss": 0.8547,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.103956107421311,
196
+ "grad_norm": 0.25250476598739624,
197
+ "learning_rate": 9.858812712652452e-06,
198
+ "loss": 0.8422,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10780633362210029,
203
+ "grad_norm": 0.2378825694322586,
204
+ "learning_rate": 9.843721192104341e-06,
205
+ "loss": 0.8426,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11165655982288959,
210
+ "grad_norm": 0.24740518629550934,
211
+ "learning_rate": 9.827876286644698e-06,
212
+ "loss": 0.8589,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11550678602367889,
217
+ "grad_norm": 0.2306535691022873,
218
+ "learning_rate": 9.811280460765643e-06,
219
+ "loss": 0.8205,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.11935701222446819,
224
+ "grad_norm": 0.24680525064468384,
225
+ "learning_rate": 9.793936295756292e-06,
226
+ "loss": 0.8332,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12320723842525748,
231
+ "grad_norm": 0.24220439791679382,
232
+ "learning_rate": 9.775846489301279e-06,
233
+ "loss": 0.8329,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12705746462604678,
238
+ "grad_norm": 0.24907219409942627,
239
+ "learning_rate": 9.757013855061157e-06,
240
+ "loss": 0.8328,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.13090769082683607,
245
+ "grad_norm": 0.240876704454422,
246
+ "learning_rate": 9.737441322234758e-06,
247
+ "loss": 0.8442,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13475791702762538,
252
+ "grad_norm": 0.2558647096157074,
253
+ "learning_rate": 9.717131935103605e-06,
254
+ "loss": 0.8436,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13860814322841467,
259
+ "grad_norm": 0.24324782192707062,
260
+ "learning_rate": 9.696088852558398e-06,
261
+ "loss": 0.8302,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14245836942920398,
266
+ "grad_norm": 0.24751833081245422,
267
+ "learning_rate": 9.674315347607686e-06,
268
+ "loss": 0.8558,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.14630859562999327,
273
+ "grad_norm": 0.2374933958053589,
274
+ "learning_rate": 9.651814806868796e-06,
275
+ "loss": 0.8164,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.15015882183078255,
280
+ "grad_norm": 0.23850394785404205,
281
+ "learning_rate": 9.62859073004107e-06,
282
+ "loss": 0.8246,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15400904803157187,
287
+ "grad_norm": 0.23875148594379425,
288
+ "learning_rate": 9.604646729361547e-06,
289
+ "loss": 0.8272,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15785927423236115,
294
+ "grad_norm": 0.22836053371429443,
295
+ "learning_rate": 9.579986529043099e-06,
296
+ "loss": 0.8152,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16170950043315044,
301
+ "grad_norm": 0.24262051284313202,
302
+ "learning_rate": 9.554613964695189e-06,
303
+ "loss": 0.832,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16555972663393975,
308
+ "grad_norm": 0.2517402470111847,
309
+ "learning_rate": 9.528532982727281e-06,
310
+ "loss": 0.821,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16940995283472904,
315
+ "grad_norm": 0.24081404507160187,
316
+ "learning_rate": 9.501747639735018e-06,
317
+ "loss": 0.8186,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.17326017903551832,
322
+ "grad_norm": 0.24995779991149902,
323
+ "learning_rate": 9.474262101869272e-06,
324
+ "loss": 0.8082,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17711040523630764,
329
+ "grad_norm": 0.238996684551239,
330
+ "learning_rate": 9.446080644188141e-06,
331
+ "loss": 0.813,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.18096063143709692,
336
+ "grad_norm": 0.24162709712982178,
337
+ "learning_rate": 9.417207649992017e-06,
338
+ "loss": 0.8221,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.18481085763788624,
343
+ "grad_norm": 0.24608567357063293,
344
+ "learning_rate": 9.387647610141816e-06,
345
+ "loss": 0.8202,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18866108383867553,
350
+ "grad_norm": 0.23444557189941406,
351
+ "learning_rate": 9.35740512236047e-06,
352
+ "loss": 0.8067,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.1925113100394648,
357
+ "grad_norm": 0.2296661138534546,
358
+ "learning_rate": 9.326484890517809e-06,
359
+ "loss": 0.8113,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19636153624025413,
364
+ "grad_norm": 0.23526917397975922,
365
+ "learning_rate": 9.294891723898926e-06,
366
+ "loss": 0.8069,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.2002117624410434,
371
+ "grad_norm": 0.2401217520236969,
372
+ "learning_rate": 9.262630536456153e-06,
373
+ "loss": 0.8372,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.2040619886418327,
378
+ "grad_norm": 0.2527241110801697,
379
+ "learning_rate": 9.229706346044749e-06,
380
+ "loss": 0.808,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.207912214842622,
385
+ "grad_norm": 0.2570526897907257,
386
+ "learning_rate": 9.196124273642422e-06,
387
+ "loss": 0.8217,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.2117624410434113,
392
+ "grad_norm": 0.24740824103355408,
393
+ "learning_rate": 9.161889542552842e-06,
394
+ "loss": 0.8237,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.21561266724420058,
399
+ "grad_norm": 0.23169489204883575,
400
+ "learning_rate": 9.127007477593193e-06,
401
+ "loss": 0.8281,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.2194628934449899,
406
+ "grad_norm": 0.269357830286026,
407
+ "learning_rate": 9.091483504265974e-06,
408
+ "loss": 0.8374,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.22331311964577918,
413
+ "grad_norm": 0.25544172525405884,
414
+ "learning_rate": 9.055323147915116e-06,
415
+ "loss": 0.8171,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.2271633458465685,
420
+ "grad_norm": 0.25473591685295105,
421
+ "learning_rate": 9.018532032866585e-06,
422
+ "loss": 0.8278,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.23101357204735778,
427
+ "grad_norm": 0.23406583070755005,
428
+ "learning_rate": 8.981115881553579e-06,
429
+ "loss": 0.8177,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.23486379824814707,
434
+ "grad_norm": 0.2666371464729309,
435
+ "learning_rate": 8.943080513626476e-06,
436
+ "loss": 0.8376,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.23871402444893638,
441
+ "grad_norm": 0.23917105793952942,
442
+ "learning_rate": 8.904431845047641e-06,
443
+ "loss": 0.8215,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.24256425064972567,
448
+ "grad_norm": 0.254898339509964,
449
+ "learning_rate": 8.86517588717128e-06,
450
+ "loss": 0.8384,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.24641447685051496,
455
+ "grad_norm": 0.2350817322731018,
456
+ "learning_rate": 8.82531874580844e-06,
457
+ "loss": 0.8267,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.25026470305130427,
462
+ "grad_norm": 0.22207516431808472,
463
+ "learning_rate": 8.784866620277314e-06,
464
+ "loss": 0.7849,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.25411492925209356,
469
+ "grad_norm": 0.25214889645576477,
470
+ "learning_rate": 8.743825802439018e-06,
471
+ "loss": 0.8213,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.25796515545288284,
476
+ "grad_norm": 0.2673768401145935,
477
+ "learning_rate": 8.702202675718956e-06,
478
+ "loss": 0.8259,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.26181538165367213,
483
+ "grad_norm": 0.24445728957653046,
484
+ "learning_rate": 8.660003714113959e-06,
485
+ "loss": 0.7959,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.26566560785446147,
490
+ "grad_norm": 0.2406833916902542,
491
+ "learning_rate": 8.617235481185323e-06,
492
+ "loss": 0.8218,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.26951583405525076,
497
+ "grad_norm": 0.2449120432138443,
498
+ "learning_rate": 8.573904629037931e-06,
499
+ "loss": 0.8265,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.27336606025604004,
504
+ "grad_norm": 0.2410110980272293,
505
+ "learning_rate": 8.530017897285585e-06,
506
+ "loss": 0.8066,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.27721628645682933,
511
+ "grad_norm": 0.22213158011436462,
512
+ "learning_rate": 8.485582112002746e-06,
513
+ "loss": 0.8096,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.2810665126576186,
518
+ "grad_norm": 0.2446628361940384,
519
+ "learning_rate": 8.440604184662811e-06,
520
+ "loss": 0.8161,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.28491673885840796,
525
+ "grad_norm": 0.22914154827594757,
526
+ "learning_rate": 8.395091111063118e-06,
527
+ "loss": 0.8042,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.28876696505919724,
532
+ "grad_norm": 0.2251976728439331,
533
+ "learning_rate": 8.349049970236822e-06,
534
+ "loss": 0.8037,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.29261719125998653,
539
+ "grad_norm": 0.24627074599266052,
540
+ "learning_rate": 8.302487923351842e-06,
541
+ "loss": 0.7963,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.2964674174607758,
546
+ "grad_norm": 0.24244199693202972,
547
+ "learning_rate": 8.255412212597021e-06,
548
+ "loss": 0.8142,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.3003176436615651,
553
+ "grad_norm": 0.23052042722702026,
554
+ "learning_rate": 8.207830160055688e-06,
555
+ "loss": 0.8104,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.3041678698623544,
560
+ "grad_norm": 0.24605132639408112,
561
+ "learning_rate": 8.159749166566786e-06,
562
+ "loss": 0.7948,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.30801809606314373,
567
+ "grad_norm": 0.23195461928844452,
568
+ "learning_rate": 8.11117671057377e-06,
569
+ "loss": 0.8227,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.311868322263933,
574
+ "grad_norm": 0.24305589497089386,
575
+ "learning_rate": 8.062120346961404e-06,
576
+ "loss": 0.8156,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.3157185484647223,
581
+ "grad_norm": 0.23656965792179108,
582
+ "learning_rate": 8.012587705880705e-06,
583
+ "loss": 0.8076,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.3195687746655116,
588
+ "grad_norm": 0.24814729392528534,
589
+ "learning_rate": 7.962586491562146e-06,
590
+ "loss": 0.794,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.3234190008663009,
595
+ "grad_norm": 0.2534838914871216,
596
+ "learning_rate": 7.912124481117357e-06,
597
+ "loss": 0.7996,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.3272692270670902,
602
+ "grad_norm": 0.24142204225063324,
603
+ "learning_rate": 7.861209523329494e-06,
604
+ "loss": 0.8103,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.3311194532678795,
609
+ "grad_norm": 0.2387242466211319,
610
+ "learning_rate": 7.809849537432432e-06,
611
+ "loss": 0.794,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.3349696794686688,
616
+ "grad_norm": 0.24049800634384155,
617
+ "learning_rate": 7.758052511879035e-06,
618
+ "loss": 0.8035,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.3388199056694581,
623
+ "grad_norm": 0.22327958047389984,
624
+ "learning_rate": 7.705826503098642e-06,
625
+ "loss": 0.7987,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.34267013187024736,
630
+ "grad_norm": 0.23305052518844604,
631
+ "learning_rate": 7.653179634243979e-06,
632
+ "loss": 0.7988,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.34652035807103665,
637
+ "grad_norm": 0.22430409491062164,
638
+ "learning_rate": 7.600120093927696e-06,
639
+ "loss": 0.8044,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.350370584271826,
644
+ "grad_norm": 0.24581289291381836,
645
+ "learning_rate": 7.546656134948729e-06,
646
+ "loss": 0.7941,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.3542208104726153,
651
+ "grad_norm": 0.2432182878255844,
652
+ "learning_rate": 7.492796073008661e-06,
653
+ "loss": 0.7922,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.35807103667340456,
658
+ "grad_norm": 0.2603885233402252,
659
+ "learning_rate": 7.438548285418326e-06,
660
+ "loss": 0.7776,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.36192126287419385,
665
+ "grad_norm": 0.25645849108695984,
666
+ "learning_rate": 7.3839212097948e-06,
667
+ "loss": 0.812,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.36577148907498314,
672
+ "grad_norm": 0.24397337436676025,
673
+ "learning_rate": 7.328923342749039e-06,
674
+ "loss": 0.827,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.3696217152757725,
679
+ "grad_norm": 0.25670453906059265,
680
+ "learning_rate": 7.273563238564319e-06,
681
+ "loss": 0.8101,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.37347194147656176,
686
+ "grad_norm": 0.24130189418792725,
687
+ "learning_rate": 7.217849507865724e-06,
688
+ "loss": 0.791,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.37732216767735105,
693
+ "grad_norm": 0.23203547298908234,
694
+ "learning_rate": 7.161790816280858e-06,
695
+ "loss": 0.796,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.38117239387814034,
700
+ "grad_norm": 0.24485979974269867,
701
+ "learning_rate": 7.1053958830920125e-06,
702
+ "loss": 0.7823,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.3850226200789296,
707
+ "grad_norm": 0.23367318511009216,
708
+ "learning_rate": 7.0486734798799715e-06,
709
+ "loss": 0.7982,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.3888728462797189,
714
+ "grad_norm": 0.2396024614572525,
715
+ "learning_rate": 6.991632429159708e-06,
716
+ "loss": 0.8212,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.39272307248050825,
721
+ "grad_norm": 0.25694042444229126,
722
+ "learning_rate": 6.934281603008132e-06,
723
+ "loss": 0.812,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.39657329868129754,
728
+ "grad_norm": 0.24822570383548737,
729
+ "learning_rate": 6.876629921684143e-06,
730
+ "loss": 0.8086,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.4004235248820868,
735
+ "grad_norm": 0.24965888261795044,
736
+ "learning_rate": 6.818686352241199e-06,
737
+ "loss": 0.7992,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.4042737510828761,
742
+ "grad_norm": 0.22224882245063782,
743
+ "learning_rate": 6.760459907132573e-06,
744
+ "loss": 0.7951,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.4081239772836654,
749
+ "grad_norm": 0.22797204554080963,
750
+ "learning_rate": 6.701959642809589e-06,
751
+ "loss": 0.8011,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.41197420348445474,
756
+ "grad_norm": 0.25105637311935425,
757
+ "learning_rate": 6.643194658312987e-06,
758
+ "loss": 0.7938,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.415824429685244,
763
+ "grad_norm": 0.2371562123298645,
764
+ "learning_rate": 6.584174093857676e-06,
765
+ "loss": 0.8163,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.4196746558860333,
770
+ "grad_norm": 0.27385076880455017,
771
+ "learning_rate": 6.5249071294110735e-06,
772
+ "loss": 0.7958,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.4235248820868226,
777
+ "grad_norm": 0.2536002993583679,
778
+ "learning_rate": 6.465402983265274e-06,
779
+ "loss": 0.8108,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.4273751082876119,
784
+ "grad_norm": 0.25096264481544495,
785
+ "learning_rate": 6.405670910603243e-06,
786
+ "loss": 0.8049,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.43122533448840117,
791
+ "grad_norm": 0.2637416422367096,
792
+ "learning_rate": 6.345720202059291e-06,
793
+ "loss": 0.8006,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.4350755606891905,
798
+ "grad_norm": 0.25268760323524475,
799
+ "learning_rate": 6.285560182274008e-06,
800
+ "loss": 0.7794,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.4389257868899798,
805
+ "grad_norm": 0.2352854460477829,
806
+ "learning_rate": 6.225200208443936e-06,
807
+ "loss": 0.8007,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.4427760130907691,
812
+ "grad_norm": 0.23188091814517975,
813
+ "learning_rate": 6.16464966886616e-06,
814
+ "loss": 0.7901,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.44662623929155837,
819
+ "grad_norm": 0.2812661826610565,
820
+ "learning_rate": 6.103917981478065e-06,
821
+ "loss": 0.8131,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.45047646549234766,
826
+ "grad_norm": 0.24056114256381989,
827
+ "learning_rate": 6.043014592392489e-06,
828
+ "loss": 0.8237,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.454326691693137,
833
+ "grad_norm": 0.23404760658740997,
834
+ "learning_rate": 5.981948974428485e-06,
835
+ "loss": 0.7988,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.4581769178939263,
840
+ "grad_norm": 0.2664545178413391,
841
+ "learning_rate": 5.920730625637934e-06,
842
+ "loss": 0.7767,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.46202714409471557,
847
+ "grad_norm": 0.24890075623989105,
848
+ "learning_rate": 5.8593690678282355e-06,
849
+ "loss": 0.7876,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.46587737029550486,
854
+ "grad_norm": 0.25923803448677063,
855
+ "learning_rate": 5.797873845081301e-06,
856
+ "loss": 0.7908,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.46972759649629414,
861
+ "grad_norm": 0.24868686497211456,
862
+ "learning_rate": 5.736254522269075e-06,
863
+ "loss": 0.8068,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.47357782269708343,
868
+ "grad_norm": 0.23769183456897736,
869
+ "learning_rate": 5.6745206835658386e-06,
870
+ "loss": 0.8093,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.47742804889787277,
875
+ "grad_norm": 0.23292513191699982,
876
+ "learning_rate": 5.612681930957495e-06,
877
+ "loss": 0.7806,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.48127827509866206,
882
+ "grad_norm": 0.23023663461208344,
883
+ "learning_rate": 5.550747882748095e-06,
884
+ "loss": 0.7776,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.48512850129945134,
889
+ "grad_norm": 0.26334813237190247,
890
+ "learning_rate": 5.4887281720638195e-06,
891
+ "loss": 0.7837,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.48897872750024063,
896
+ "grad_norm": 0.28428661823272705,
897
+ "learning_rate": 5.42663244535466e-06,
898
+ "loss": 0.7692,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.4928289537010299,
903
+ "grad_norm": 0.2659589350223541,
904
+ "learning_rate": 5.3644703608940205e-06,
905
+ "loss": 0.7765,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.49667917990181926,
910
+ "grad_norm": 0.24645563960075378,
911
+ "learning_rate": 5.302251587276491e-06,
912
+ "loss": 0.7882,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.5005294061026085,
917
+ "grad_norm": 0.22712987661361694,
918
+ "learning_rate": 5.2399858019140005e-06,
919
+ "loss": 0.787,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.5043796323033978,
924
+ "grad_norm": 0.23621056973934174,
925
+ "learning_rate": 5.177682689530615e-06,
926
+ "loss": 0.8026,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 0.5082298585041871,
931
+ "grad_norm": 0.2508206367492676,
932
+ "learning_rate": 5.11535194065619e-06,
933
+ "loss": 0.7697,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 0.5120800847049765,
938
+ "grad_norm": 0.267014741897583,
939
+ "learning_rate": 5.053003250119113e-06,
940
+ "loss": 0.7796,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 0.5159303109057657,
945
+ "grad_norm": 0.24479186534881592,
946
+ "learning_rate": 4.9906463155383925e-06,
947
+ "loss": 0.7873,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 0.519780537106555,
952
+ "grad_norm": 0.24559848010540009,
953
+ "learning_rate": 4.9282908358153046e-06,
954
+ "loss": 0.7795,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 0.5236307633073443,
959
+ "grad_norm": 0.26693612337112427,
960
+ "learning_rate": 4.8659465096248345e-06,
961
+ "loss": 0.7967,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 0.5274809895081336,
966
+ "grad_norm": 0.26651403307914734,
967
+ "learning_rate": 4.803623033907169e-06,
968
+ "loss": 0.7951,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 0.5313312157089229,
973
+ "grad_norm": 0.23618242144584656,
974
+ "learning_rate": 4.741330102359441e-06,
975
+ "loss": 0.8006,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 0.5351814419097122,
980
+ "grad_norm": 0.26320376992225647,
981
+ "learning_rate": 4.679077403927996e-06,
982
+ "loss": 0.7808,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 0.5390316681105015,
987
+ "grad_norm": 0.24006524682044983,
988
+ "learning_rate": 4.616874621301373e-06,
989
+ "loss": 0.7802,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 0.5428818943112907,
994
+ "grad_norm": 0.24921643733978271,
995
+ "learning_rate": 4.554731429404293e-06,
996
+ "loss": 0.7953,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 0.5467321205120801,
1001
+ "grad_norm": 0.2650436460971832,
1002
+ "learning_rate": 4.492657493892822e-06,
1003
+ "loss": 0.779,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 0.5505823467128694,
1008
+ "grad_norm": 0.2740040123462677,
1009
+ "learning_rate": 4.430662469650999e-06,
1010
+ "loss": 0.7942,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 0.5544325729136587,
1015
+ "grad_norm": 0.26734471321105957,
1016
+ "learning_rate": 4.368755999289118e-06,
1017
+ "loss": 0.7971,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 0.558282799114448,
1022
+ "grad_norm": 0.27225741744041443,
1023
+ "learning_rate": 4.306947711643949e-06,
1024
+ "loss": 0.7817,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 0.5621330253152372,
1029
+ "grad_norm": 0.25284478068351746,
1030
+ "learning_rate": 4.245247220281068e-06,
1031
+ "loss": 0.7849,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 0.5659832515160266,
1036
+ "grad_norm": 0.2419055998325348,
1037
+ "learning_rate": 4.183664121999587e-06,
1038
+ "loss": 0.7817,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 0.5698334777168159,
1043
+ "grad_norm": 0.25292760133743286,
1044
+ "learning_rate": 4.122207995339474e-06,
1045
+ "loss": 0.7788,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 0.5736837039176051,
1050
+ "grad_norm": 0.23851096630096436,
1051
+ "learning_rate": 4.060888399091734e-06,
1052
+ "loss": 0.7837,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 0.5775339301183945,
1057
+ "grad_norm": 0.2318463921546936,
1058
+ "learning_rate": 3.999714870811639e-06,
1059
+ "loss": 0.7925,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 0.5813841563191837,
1064
+ "grad_norm": 0.23393011093139648,
1065
+ "learning_rate": 3.938696925335275e-06,
1066
+ "loss": 0.7851,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 0.5852343825199731,
1071
+ "grad_norm": 0.24212098121643066,
1072
+ "learning_rate": 3.87784405329962e-06,
1073
+ "loss": 0.793,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 0.5890846087207623,
1078
+ "grad_norm": 0.24901717901229858,
1079
+ "learning_rate": 3.817165719666382e-06,
1080
+ "loss": 0.7945,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 0.5929348349215516,
1085
+ "grad_norm": 0.2435370832681656,
1086
+ "learning_rate": 3.756671362249841e-06,
1087
+ "loss": 0.7993,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 0.596785061122341,
1092
+ "grad_norm": 0.2412971407175064,
1093
+ "learning_rate": 3.6963703902488907e-06,
1094
+ "loss": 0.7846,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 0.6006352873231302,
1099
+ "grad_norm": 0.24110092222690582,
1100
+ "learning_rate": 3.6362721827835655e-06,
1101
+ "loss": 0.8021,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 0.6044855135239195,
1106
+ "grad_norm": 0.26334530115127563,
1107
+ "learning_rate": 3.576386087436212e-06,
1108
+ "loss": 0.7975,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 0.6083357397247088,
1113
+ "grad_norm": 0.253802627325058,
1114
+ "learning_rate": 3.5167214187975913e-06,
1115
+ "loss": 0.7871,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 0.6121859659254981,
1120
+ "grad_norm": 0.21041545271873474,
1121
+ "learning_rate": 3.457287457018086e-06,
1122
+ "loss": 0.7899,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 0.6160361921262875,
1127
+ "grad_norm": 0.23896731436252594,
1128
+ "learning_rate": 3.3980934463643003e-06,
1129
+ "loss": 0.7771,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 0.6198864183270767,
1134
+ "grad_norm": 0.22350122034549713,
1135
+ "learning_rate": 3.3391485937812053e-06,
1136
+ "loss": 0.7604,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 0.623736644527866,
1141
+ "grad_norm": 0.2404075264930725,
1142
+ "learning_rate": 3.280462067460115e-06,
1143
+ "loss": 0.7581,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 0.6275868707286553,
1148
+ "grad_norm": 0.2488982230424881,
1149
+ "learning_rate": 3.222042995412669e-06,
1150
+ "loss": 0.7887,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 0.6314370969294446,
1155
+ "grad_norm": 0.21580159664154053,
1156
+ "learning_rate": 3.163900464051089e-06,
1157
+ "loss": 0.7798,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 0.635287323130234,
1162
+ "grad_norm": 0.2441449761390686,
1163
+ "learning_rate": 3.1060435167748826e-06,
1164
+ "loss": 0.7889,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 0.6391375493310232,
1169
+ "grad_norm": 0.24121089279651642,
1170
+ "learning_rate": 3.048481152564253e-06,
1171
+ "loss": 0.7693,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 0.6429877755318125,
1176
+ "grad_norm": 0.2503420114517212,
1177
+ "learning_rate": 2.9912223245804017e-06,
1178
+ "loss": 0.792,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 0.6468380017326018,
1183
+ "grad_norm": 0.2500740587711334,
1184
+ "learning_rate": 2.934275938772981e-06,
1185
+ "loss": 0.787,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 0.6506882279333911,
1190
+ "grad_norm": 0.25226929783821106,
1191
+ "learning_rate": 2.8776508524948676e-06,
1192
+ "loss": 0.7767,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 0.6545384541341804,
1197
+ "grad_norm": 0.2178998440504074,
1198
+ "learning_rate": 2.821355873124503e-06,
1199
+ "loss": 0.7745,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 0.6583886803349697,
1204
+ "grad_norm": 0.25741666555404663,
1205
+ "learning_rate": 2.7653997566960144e-06,
1206
+ "loss": 0.7905,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 0.662238906535759,
1211
+ "grad_norm": 0.2572144567966461,
1212
+ "learning_rate": 2.709791206537309e-06,
1213
+ "loss": 0.7794,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 0.6660891327365482,
1218
+ "grad_norm": 0.24554477632045746,
1219
+ "learning_rate": 2.6545388719163747e-06,
1220
+ "loss": 0.7849,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 0.6699393589373376,
1225
+ "grad_norm": 0.23566469550132751,
1226
+ "learning_rate": 2.599651346695979e-06,
1227
+ "loss": 0.7836,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 0.6737895851381268,
1232
+ "grad_norm": 0.2500940263271332,
1233
+ "learning_rate": 2.545137167997007e-06,
1234
+ "loss": 0.7794,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 0.6776398113389162,
1239
+ "grad_norm": 0.2279323786497116,
1240
+ "learning_rate": 2.4910048148705972e-06,
1241
+ "loss": 0.7672,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 0.6814900375397055,
1246
+ "grad_norm": 0.25420552492141724,
1247
+ "learning_rate": 2.4372627069793327e-06,
1248
+ "loss": 0.8111,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 0.6853402637404947,
1253
+ "grad_norm": 0.24456627666950226,
1254
+ "learning_rate": 2.3839192032876486e-06,
1255
+ "loss": 0.7965,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 0.6891904899412841,
1260
+ "grad_norm": 0.23925970494747162,
1261
+ "learning_rate": 2.3309826007617047e-06,
1262
+ "loss": 0.8082,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 0.6930407161420733,
1267
+ "grad_norm": 0.23509013652801514,
1268
+ "learning_rate": 2.278461133078881e-06,
1269
+ "loss": 0.7716,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 0.6968909423428626,
1274
+ "grad_norm": 0.24481487274169922,
1275
+ "learning_rate": 2.2263629693471258e-06,
1276
+ "loss": 0.7623,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 0.700741168543652,
1281
+ "grad_norm": 0.23325252532958984,
1282
+ "learning_rate": 2.1746962128343414e-06,
1283
+ "loss": 0.7867,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 0.7045913947444412,
1288
+ "grad_norm": 0.23235656321048737,
1289
+ "learning_rate": 2.1234688997080183e-06,
1290
+ "loss": 0.7753,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 0.7084416209452306,
1295
+ "grad_norm": 0.2552795708179474,
1296
+ "learning_rate": 2.0726889977853053e-06,
1297
+ "loss": 0.7803,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 0.7122918471460198,
1302
+ "grad_norm": 0.2528349459171295,
1303
+ "learning_rate": 2.022364405293703e-06,
1304
+ "loss": 0.794,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 0.7161420733468091,
1309
+ "grad_norm": 0.23485736548900604,
1310
+ "learning_rate": 1.9725029496425814e-06,
1311
+ "loss": 0.7858,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 0.7199922995475985,
1316
+ "grad_norm": 0.2491462379693985,
1317
+ "learning_rate": 1.923112386205727e-06,
1318
+ "loss": 0.783,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 0.7238425257483877,
1323
+ "grad_norm": 0.22504505515098572,
1324
+ "learning_rate": 1.874200397115079e-06,
1325
+ "loss": 0.7899,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 0.727692751949177,
1330
+ "grad_norm": 0.2522429823875427,
1331
+ "learning_rate": 1.825774590065857e-06,
1332
+ "loss": 0.7747,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 0.7315429781499663,
1337
+ "grad_norm": 0.25222674012184143,
1338
+ "learning_rate": 1.7778424971332813e-06,
1339
+ "loss": 0.7805,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 0.7353932043507556,
1344
+ "grad_norm": 0.24080727994441986,
1345
+ "learning_rate": 1.7304115736010407e-06,
1346
+ "loss": 0.779,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 0.739243430551545,
1351
+ "grad_norm": 0.2409914880990982,
1352
+ "learning_rate": 1.6834891968017108e-06,
1353
+ "loss": 0.7726,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 0.7430936567523342,
1358
+ "grad_norm": 0.2459801435470581,
1359
+ "learning_rate": 1.6370826649692884e-06,
1360
+ "loss": 0.7907,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 0.7469438829531235,
1365
+ "grad_norm": 0.2434801310300827,
1366
+ "learning_rate": 1.5911991961040463e-06,
1367
+ "loss": 0.7981,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 0.7507941091539128,
1372
+ "grad_norm": 0.24736011028289795,
1373
+ "learning_rate": 1.545845926849851e-06,
1374
+ "loss": 0.7858,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 0.7546443353547021,
1379
+ "grad_norm": 0.2562319338321686,
1380
+ "learning_rate": 1.5010299113841397e-06,
1381
+ "loss": 0.8017,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 0.7584945615554913,
1386
+ "grad_norm": 0.24396784603595734,
1387
+ "learning_rate": 1.4567581203207238e-06,
1388
+ "loss": 0.7925,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 0.7623447877562807,
1393
+ "grad_norm": 0.25736188888549805,
1394
+ "learning_rate": 1.413037439625593e-06,
1395
+ "loss": 0.7892,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 0.76619501395707,
1400
+ "grad_norm": 0.26442015171051025,
1401
+ "learning_rate": 1.3698746695458847e-06,
1402
+ "loss": 0.7854,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 0.7700452401578592,
1407
+ "grad_norm": 0.23835445940494537,
1408
+ "learning_rate": 1.3272765235521745e-06,
1409
+ "loss": 0.7775,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 0.7738954663586486,
1414
+ "grad_norm": 0.23767007887363434,
1415
+ "learning_rate": 1.2852496272942877e-06,
1416
+ "loss": 0.7841,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 0.7777456925594378,
1421
+ "grad_norm": 0.23074036836624146,
1422
+ "learning_rate": 1.2438005175707396e-06,
1423
+ "loss": 0.7728,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 0.7815959187602272,
1428
+ "grad_norm": 0.23877929151058197,
1429
+ "learning_rate": 1.2029356413120297e-06,
1430
+ "loss": 0.757,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 0.7854461449610165,
1435
+ "grad_norm": 0.2509441077709198,
1436
+ "learning_rate": 1.1626613545778786e-06,
1437
+ "loss": 0.775,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 0.7892963711618057,
1442
+ "grad_norm": 0.2301674485206604,
1443
+ "learning_rate": 1.1229839215686294e-06,
1444
+ "loss": 0.7792,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 0.7931465973625951,
1449
+ "grad_norm": 0.219220831990242,
1450
+ "learning_rate": 1.0839095136509188e-06,
1451
+ "loss": 0.7633,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 0.7969968235633843,
1456
+ "grad_norm": 0.25800326466560364,
1457
+ "learning_rate": 1.045444208397791e-06,
1458
+ "loss": 0.786,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 0.8008470497641736,
1463
+ "grad_norm": 0.23034441471099854,
1464
+ "learning_rate": 1.007593988643402e-06,
1465
+ "loss": 0.7668,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 0.804697275964963,
1470
+ "grad_norm": 0.2453928142786026,
1471
+ "learning_rate": 9.703647415524613e-07,
1472
+ "loss": 0.7884,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 0.8085475021657522,
1477
+ "grad_norm": 0.23805692791938782,
1478
+ "learning_rate": 9.337622577045485e-07,
1479
+ "loss": 0.7773,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 0.8123977283665416,
1484
+ "grad_norm": 0.2369479238986969,
1485
+ "learning_rate": 8.977922301934588e-07,
1486
+ "loss": 0.7869,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 0.8162479545673308,
1491
+ "grad_norm": 0.23941001296043396,
1492
+ "learning_rate": 8.624602537417009e-07,
1493
+ "loss": 0.7887,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 0.8200981807681201,
1498
+ "grad_norm": 0.26144489645957947,
1499
+ "learning_rate": 8.277718238303123e-07,
1500
+ "loss": 0.7764,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 0.8239484069689095,
1505
+ "grad_norm": 0.23836737871170044,
1506
+ "learning_rate": 7.937323358440935e-07,
1507
+ "loss": 0.7794,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 0.8277986331696987,
1512
+ "grad_norm": 0.24814127385616302,
1513
+ "learning_rate": 7.603470842324223e-07,
1514
+ "loss": 0.7724,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 0.831648859370488,
1519
+ "grad_norm": 0.24859094619750977,
1520
+ "learning_rate": 7.276212616857575e-07,
1521
+ "loss": 0.7884,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 0.8354990855712773,
1526
+ "grad_norm": 0.2296704202890396,
1527
+ "learning_rate": 6.955599583279837e-07,
1528
+ "loss": 0.7882,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 0.8393493117720666,
1533
+ "grad_norm": 0.24677014350891113,
1534
+ "learning_rate": 6.641681609246981e-07,
1535
+ "loss": 0.7801,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 0.8431995379728559,
1540
+ "grad_norm": 0.23567335307598114,
1541
+ "learning_rate": 6.334507521075711e-07,
1542
+ "loss": 0.7868,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 0.8470497641736452,
1547
+ "grad_norm": 0.25627148151397705,
1548
+ "learning_rate": 6.034125096149179e-07,
1549
+ "loss": 0.7811,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 0.8508999903744345,
1554
+ "grad_norm": 0.2391371726989746,
1555
+ "learning_rate": 5.740581055485722e-07,
1556
+ "loss": 0.7537,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 0.8547502165752238,
1561
+ "grad_norm": 0.22977998852729797,
1562
+ "learning_rate": 5.453921056471961e-07,
1563
+ "loss": 0.7874,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 0.8586004427760131,
1568
+ "grad_norm": 0.24648508429527283,
1569
+ "learning_rate": 5.174189685761288e-07,
1570
+ "loss": 0.7808,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 0.8624506689768023,
1575
+ "grad_norm": 0.23217733204364777,
1576
+ "learning_rate": 4.901430452338979e-07,
1577
+ "loss": 0.7927,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 0.8663008951775917,
1582
+ "grad_norm": 0.24390576779842377,
1583
+ "learning_rate": 4.6356857807548286e-07,
1584
+ "loss": 0.7756,
1585
+ "step": 2250
1586
+ },
1587
+ {
1588
+ "epoch": 0.870151121378381,
1589
+ "grad_norm": 0.24087175726890564,
1590
+ "learning_rate": 4.376997004524541e-07,
1591
+ "loss": 0.7644,
1592
+ "step": 2260
1593
+ },
1594
+ {
1595
+ "epoch": 0.8740013475791703,
1596
+ "grad_norm": 0.24330322444438934,
1597
+ "learning_rate": 4.12540435970073e-07,
1598
+ "loss": 0.7744,
1599
+ "step": 2270
1600
+ },
1601
+ {
1602
+ "epoch": 0.8778515737799596,
1603
+ "grad_norm": 0.23751062154769897,
1604
+ "learning_rate": 3.880946978614703e-07,
1605
+ "loss": 0.7866,
1606
+ "step": 2280
1607
+ },
1608
+ {
1609
+ "epoch": 0.8817017999807488,
1610
+ "grad_norm": 0.24107448756694794,
1611
+ "learning_rate": 3.643662883789878e-07,
1612
+ "loss": 0.7896,
1613
+ "step": 2290
1614
+ },
1615
+ {
1616
+ "epoch": 0.8855520261815382,
1617
+ "grad_norm": 0.22517569363117218,
1618
+ "learning_rate": 3.41358898202781e-07,
1619
+ "loss": 0.767,
1620
+ "step": 2300
1621
+ },
1622
+ {
1623
+ "epoch": 0.8894022523823275,
1624
+ "grad_norm": 0.22279219329357147,
1625
+ "learning_rate": 3.190761058667741e-07,
1626
+ "loss": 0.7782,
1627
+ "step": 2310
1628
+ },
1629
+ {
1630
+ "epoch": 0.8932524785831167,
1631
+ "grad_norm": 0.23094573616981506,
1632
+ "learning_rate": 2.9752137720206463e-07,
1633
+ "loss": 0.784,
1634
+ "step": 2320
1635
+ },
1636
+ {
1637
+ "epoch": 0.8971027047839061,
1638
+ "grad_norm": 0.241532564163208,
1639
+ "learning_rate": 2.7669806479785067e-07,
1640
+ "loss": 0.7886,
1641
+ "step": 2330
1642
+ },
1643
+ {
1644
+ "epoch": 0.9009529309846953,
1645
+ "grad_norm": 0.2454252690076828,
1646
+ "learning_rate": 2.566094074799763e-07,
1647
+ "loss": 0.7831,
1648
+ "step": 2340
1649
+ },
1650
+ {
1651
+ "epoch": 0.9048031571854847,
1652
+ "grad_norm": 0.23480668663978577,
1653
+ "learning_rate": 2.3725852980716557e-07,
1654
+ "loss": 0.7644,
1655
+ "step": 2350
1656
+ },
1657
+ {
1658
+ "epoch": 0.908653383386274,
1659
+ "grad_norm": 0.22798039019107819,
1660
+ "learning_rate": 2.1864844158503983e-07,
1661
+ "loss": 0.7783,
1662
+ "step": 2360
1663
+ },
1664
+ {
1665
+ "epoch": 0.9125036095870632,
1666
+ "grad_norm": 0.2749248743057251,
1667
+ "learning_rate": 2.007820373979702e-07,
1668
+ "loss": 0.7712,
1669
+ "step": 2370
1670
+ },
1671
+ {
1672
+ "epoch": 0.9163538357878526,
1673
+ "grad_norm": 0.23876889050006866,
1674
+ "learning_rate": 1.8366209615886532e-07,
1675
+ "loss": 0.7778,
1676
+ "step": 2380
1677
+ },
1678
+ {
1679
+ "epoch": 0.9202040619886418,
1680
+ "grad_norm": 0.23598432540893555,
1681
+ "learning_rate": 1.6729128067693613e-07,
1682
+ "loss": 0.7909,
1683
+ "step": 2390
1684
+ },
1685
+ {
1686
+ "epoch": 0.9240542881894311,
1687
+ "grad_norm": 0.2578764259815216,
1688
+ "learning_rate": 1.5167213724353426e-07,
1689
+ "loss": 0.7903,
1690
+ "step": 2400
1691
+ },
1692
+ {
1693
+ "epoch": 0.9279045143902205,
1694
+ "grad_norm": 0.23426567018032074,
1695
+ "learning_rate": 1.3680709523610058e-07,
1696
+ "loss": 0.7741,
1697
+ "step": 2410
1698
+ },
1699
+ {
1700
+ "epoch": 0.9317547405910097,
1701
+ "grad_norm": 0.22543291747570038,
1702
+ "learning_rate": 1.2269846674030418e-07,
1703
+ "loss": 0.794,
1704
+ "step": 2420
1705
+ },
1706
+ {
1707
+ "epoch": 0.935604966791799,
1708
+ "grad_norm": 0.23952874541282654,
1709
+ "learning_rate": 1.0934844619042595e-07,
1710
+ "loss": 0.7927,
1711
+ "step": 2430
1712
+ },
1713
+ {
1714
+ "epoch": 0.9394551929925883,
1715
+ "grad_norm": 0.25108540058135986,
1716
+ "learning_rate": 9.675911002803961e-08,
1717
+ "loss": 0.7805,
1718
+ "step": 2440
1719
+ },
1720
+ {
1721
+ "epoch": 0.9433054191933776,
1722
+ "grad_norm": 0.2646595537662506,
1723
+ "learning_rate": 8.493241637904381e-08,
1724
+ "loss": 0.7767,
1725
+ "step": 2450
1726
+ },
1727
+ {
1728
+ "epoch": 0.9471556453941669,
1729
+ "grad_norm": 0.24272465705871582,
1730
+ "learning_rate": 7.387020474909689e-08,
1731
+ "loss": 0.7981,
1732
+ "step": 2460
1733
+ },
1734
+ {
1735
+ "epoch": 0.9510058715949562,
1736
+ "grad_norm": 0.26722830533981323,
1737
+ "learning_rate": 6.357419573750856e-08,
1738
+ "loss": 0.7912,
1739
+ "step": 2470
1740
+ },
1741
+ {
1742
+ "epoch": 0.9548560977957455,
1743
+ "grad_norm": 0.24296846985816956,
1744
+ "learning_rate": 5.4045990769613365e-08,
1745
+ "loss": 0.7756,
1746
+ "step": 2480
1747
+ },
1748
+ {
1749
+ "epoch": 0.9587063239965348,
1750
+ "grad_norm": 0.28137966990470886,
1751
+ "learning_rate": 4.5287071847694434e-08,
1752
+ "loss": 0.7792,
1753
+ "step": 2490
1754
+ },
1755
+ {
1756
+ "epoch": 0.9625565501973241,
1757
+ "grad_norm": 0.23351995646953583,
1758
+ "learning_rate": 3.7298801320467817e-08,
1759
+ "loss": 0.7747,
1760
+ "step": 2500
1761
+ },
1762
+ {
1763
+ "epoch": 0.9664067763981133,
1764
+ "grad_norm": 0.23447147011756897,
1765
+ "learning_rate": 3.0082421671192576e-08,
1766
+ "loss": 0.7681,
1767
+ "step": 2510
1768
+ },
1769
+ {
1770
+ "epoch": 0.9702570025989027,
1771
+ "grad_norm": 0.2386709749698639,
1772
+ "learning_rate": 2.3639055324410355e-08,
1773
+ "loss": 0.7907,
1774
+ "step": 2520
1775
+ },
1776
+ {
1777
+ "epoch": 0.974107228799692,
1778
+ "grad_norm": 0.24166277050971985,
1779
+ "learning_rate": 1.7969704471369477e-08,
1780
+ "loss": 0.7732,
1781
+ "step": 2530
1782
+ },
1783
+ {
1784
+ "epoch": 0.9779574550004813,
1785
+ "grad_norm": 0.22922277450561523,
1786
+ "learning_rate": 1.3075250914142413e-08,
1787
+ "loss": 0.7775,
1788
+ "step": 2540
1789
+ },
1790
+ {
1791
+ "epoch": 0.9818076812012706,
1792
+ "grad_norm": 0.23014265298843384,
1793
+ "learning_rate": 8.956455928476049e-09,
1794
+ "loss": 0.7867,
1795
+ "step": 2550
1796
+ },
1797
+ {
1798
+ "epoch": 0.9856579074020598,
1799
+ "grad_norm": 0.2459011822938919,
1800
+ "learning_rate": 5.6139601453786275e-09,
1801
+ "loss": 0.7773,
1802
+ "step": 2560
1803
+ },
1804
+ {
1805
+ "epoch": 0.9895081336028492,
1806
+ "grad_norm": 0.24084420502185822,
1807
+ "learning_rate": 3.0482834514805602e-09,
1808
+ "loss": 0.766,
1809
+ "step": 2570
1810
+ },
1811
+ {
1812
+ "epoch": 0.9933583598036385,
1813
+ "grad_norm": 0.22241507470607758,
1814
+ "learning_rate": 1.2598249081713366e-09,
1815
+ "loss": 0.7615,
1816
+ "step": 2580
1817
+ },
1818
+ {
1819
+ "epoch": 0.9972085860044277,
1820
+ "grad_norm": 0.2566074728965759,
1821
+ "learning_rate": 2.488626895302826e-10,
1822
+ "loss": 0.7925,
1823
+ "step": 2590
1824
+ },
1825
+ {
1826
+ "epoch": 0.9999037443449803,
1827
+ "step": 2597,
1828
+ "total_flos": 3.652195211100029e+18,
1829
+ "train_loss": 0.8174839934157003,
1830
+ "train_runtime": 10312.6305,
1831
+ "train_samples_per_second": 64.475,
1832
+ "train_steps_per_second": 0.252
1833
+ }
1834
+ ],
1835
+ "logging_steps": 10,
1836
+ "max_steps": 2597,
1837
+ "num_input_tokens_seen": 0,
1838
+ "num_train_epochs": 1,
1839
+ "save_steps": 500,
1840
+ "stateful_callbacks": {
1841
+ "TrainerControl": {
1842
+ "args": {
1843
+ "should_epoch_stop": false,
1844
+ "should_evaluate": false,
1845
+ "should_log": false,
1846
+ "should_save": true,
1847
+ "should_training_stop": true
1848
+ },
1849
+ "attributes": {}
1850
+ }
1851
+ },
1852
+ "total_flos": 3.652195211100029e+18,
1853
+ "train_batch_size": 8,
1854
+ "trial_name": null,
1855
+ "trial_params": null
1856
+ }
continuous/qwen3/mc2_m16_224/finetune/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25686806cb1da6cc140c9d394cf6bbf0fd93cd2de6d1441bf38f77547e678697
3
+ size 6136
continuous/qwen3/mc2_m16_224/finetune/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
continuous/qwen3/mc2_m16_224/pretrain/config.json ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "add_faster_video": false,
4
+ "add_time_instruction": false,
5
+ "architectures": [
6
+ "Qwen3ForCausalLM"
7
+ ],
8
+ "attention_bias": false,
9
+ "attention_dropout": 0.0,
10
+ "bos_token_id": 151643,
11
+ "eos_token_id": 151645,
12
+ "faster_token_stride": 10,
13
+ "force_sample": false,
14
+ "head_dim": 128,
15
+ "hidden_act": "silu",
16
+ "hidden_size": 2048,
17
+ "image_aspect_ratio": "square",
18
+ "image_crop_resolution": null,
19
+ "image_grid_pinpoints": null,
20
+ "image_split_resolution": null,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 6144,
23
+ "max_position_embeddings": 40960,
24
+ "max_window_layers": 28,
25
+ "mm_hidden_size": 512,
26
+ "mm_newline_position": "grid",
27
+ "mm_patch_merge_type": "flat",
28
+ "mm_projector_lr": null,
29
+ "mm_projector_type": "mlp2x_gelu",
30
+ "mm_resampler_type": null,
31
+ "mm_spatial_pool_mode": "bilinear",
32
+ "mm_spatial_pool_stride": null,
33
+ "mm_tunable_parts": "mm_mlp_adapter",
34
+ "mm_use_im_patch_token": false,
35
+ "mm_use_im_start_end": false,
36
+ "mm_vision_select_feature": "patch",
37
+ "mm_vision_select_layer": -2,
38
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
39
+ "mm_vision_tower_lr": null,
40
+ "model_type": "qwen3",
41
+ "num_attention_heads": 16,
42
+ "num_hidden_layers": 28,
43
+ "num_key_value_heads": 8,
44
+ "pos_skipping_range": 4096,
45
+ "rms_norm_eps": 1e-06,
46
+ "rope_scaling": null,
47
+ "rope_theta": 1000000,
48
+ "sliding_window": null,
49
+ "tie_word_embeddings": true,
50
+ "tokenizer_model_max_length": 8192,
51
+ "tokenizer_padding_side": "right",
52
+ "torch_dtype": "bfloat16",
53
+ "transformers_version": "4.51.3",
54
+ "use_cache": true,
55
+ "use_mm_proj": true,
56
+ "use_pos_skipping": false,
57
+ "use_sliding_window": false,
58
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224.pt",
59
+ "vocab_size": 151936
60
+ }
continuous/qwen3/mc2_m16_224/pretrain/mm_projector.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e27cd340b3c5180ed209261236fe1c4ab743898a4f7e7ea21c6700271fcedbbf
3
+ size 20990008
continuous/qwen3/mc2_m16_224/pretrain/trainer_state.json ADDED
@@ -0,0 +1,421 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 545,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01834862385321101,
14
+ "grad_norm": 8.263691902160645,
15
+ "learning_rate": 0.00032142857142857147,
16
+ "loss": 9.5278,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.03669724770642202,
21
+ "grad_norm": 0.9499373435974121,
22
+ "learning_rate": 0.0006785714285714287,
23
+ "loss": 5.6525,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.05504587155963303,
28
+ "grad_norm": 0.1157476082444191,
29
+ "learning_rate": 0.0009999907688176173,
30
+ "loss": 4.7837,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.07339449541284404,
35
+ "grad_norm": 0.0696597769856453,
36
+ "learning_rate": 0.0009988834393115766,
37
+ "loss": 4.6809,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.09174311926605505,
42
+ "grad_norm": 0.0800262838602066,
43
+ "learning_rate": 0.0009959345572940772,
44
+ "loss": 4.64,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.11009174311926606,
49
+ "grad_norm": 0.05334581434726715,
50
+ "learning_rate": 0.0009911550081155983,
51
+ "loss": 4.6184,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.12844036697247707,
56
+ "grad_norm": 0.045210205018520355,
57
+ "learning_rate": 0.0009845624347566433,
58
+ "loss": 4.587,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.14678899082568808,
63
+ "grad_norm": 0.08525381237268448,
64
+ "learning_rate": 0.0009761811727013547,
65
+ "loss": 4.5676,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1651376146788991,
70
+ "grad_norm": 0.08886343240737915,
71
+ "learning_rate": 0.0009660421601067666,
72
+ "loss": 4.5322,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.1834862385321101,
77
+ "grad_norm": 0.14597123861312866,
78
+ "learning_rate": 0.0009541828235992926,
79
+ "loss": 4.5087,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2018348623853211,
84
+ "grad_norm": 0.16878250241279602,
85
+ "learning_rate": 0.0009406469401200151,
86
+ "loss": 4.4802,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.22018348623853212,
91
+ "grad_norm": 0.1627032309770584,
92
+ "learning_rate": 0.0009254844753287492,
93
+ "loss": 4.467,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.23853211009174313,
98
+ "grad_norm": 0.12593714892864227,
99
+ "learning_rate": 0.0009087513991633924,
100
+ "loss": 4.4395,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.25688073394495414,
105
+ "grad_norm": 0.17683015763759613,
106
+ "learning_rate": 0.0008905094792353917,
107
+ "loss": 4.4194,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.27522935779816515,
112
+ "grad_norm": 0.1391962170600891,
113
+ "learning_rate": 0.0008708260528239789,
114
+ "loss": 4.4178,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.29357798165137616,
119
+ "grad_norm": 0.14064252376556396,
120
+ "learning_rate": 0.0008497737783108237,
121
+ "loss": 4.4027,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.3119266055045872,
126
+ "grad_norm": 0.11863978207111359,
127
+ "learning_rate": 0.0008274303669726426,
128
+ "loss": 4.3896,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.3302752293577982,
133
+ "grad_norm": 0.13673195242881775,
134
+ "learning_rate": 0.0008038782961218137,
135
+ "loss": 4.376,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.3486238532110092,
140
+ "grad_norm": 0.13653913140296936,
141
+ "learning_rate": 0.000779204504653894,
142
+ "loss": 4.3717,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.3669724770642202,
147
+ "grad_norm": 0.15684056282043457,
148
+ "learning_rate": 0.0007535000721258791,
149
+ "loss": 4.3525,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.3853211009174312,
154
+ "grad_norm": 0.1207437664270401,
155
+ "learning_rate": 0.00072685988254984,
156
+ "loss": 4.3438,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.4036697247706422,
161
+ "grad_norm": 0.15573497116565704,
162
+ "learning_rate": 0.0006993822741429906,
163
+ "loss": 4.3557,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.42201834862385323,
168
+ "grad_norm": 0.1481485366821289,
169
+ "learning_rate": 0.0006711686763270818,
170
+ "loss": 4.3535,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.44036697247706424,
175
+ "grad_norm": 0.1350519210100174,
176
+ "learning_rate": 0.0006423232353170831,
177
+ "loss": 4.3387,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.45871559633027525,
182
+ "grad_norm": 0.13183097541332245,
183
+ "learning_rate": 0.0006129524296812335,
184
+ "loss": 4.318,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.47706422018348627,
189
+ "grad_norm": 0.09445122629404068,
190
+ "learning_rate": 0.0005831646772915651,
191
+ "loss": 4.3299,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.4954128440366973,
196
+ "grad_norm": 0.12261876463890076,
197
+ "learning_rate": 0.0005530699351157809,
198
+ "loss": 4.3094,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.5137614678899083,
203
+ "grad_norm": 0.12118884921073914,
204
+ "learning_rate": 0.0005227792933277943,
205
+ "loss": 4.3087,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.5321100917431193,
210
+ "grad_norm": 0.11086063086986542,
211
+ "learning_rate": 0.0004924045652352092,
212
+ "loss": 4.2942,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.5504587155963303,
217
+ "grad_norm": 0.15731115639209747,
218
+ "learning_rate": 0.0004620578745374633,
219
+ "loss": 4.2966,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.5688073394495413,
224
+ "grad_norm": 0.14452946186065674,
225
+ "learning_rate": 0.0004318512414382059,
226
+ "loss": 4.3098,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.5871559633027523,
231
+ "grad_norm": 0.11758684366941452,
232
+ "learning_rate": 0.0004018961691397148,
233
+ "loss": 4.2959,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.6055045871559633,
238
+ "grad_norm": 0.11536116153001785,
239
+ "learning_rate": 0.0003723032322457458,
240
+ "loss": 4.2803,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.6238532110091743,
245
+ "grad_norm": 0.12444861978292465,
246
+ "learning_rate": 0.0003431816685921625,
247
+ "loss": 4.2791,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.6422018348623854,
252
+ "grad_norm": 0.11540855467319489,
253
+ "learning_rate": 0.0003146389760120416,
254
+ "loss": 4.2871,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.6605504587155964,
259
+ "grad_norm": 0.12380729615688324,
260
+ "learning_rate": 0.00028678051552373485,
261
+ "loss": 4.2928,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.6788990825688074,
266
+ "grad_norm": 0.10324236750602722,
267
+ "learning_rate": 0.0002597091224066581,
268
+ "loss": 4.2763,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.6972477064220184,
273
+ "grad_norm": 0.10322773456573486,
274
+ "learning_rate": 0.0002335247266004629,
275
+ "loss": 4.2921,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.7155963302752294,
280
+ "grad_norm": 0.11596544831991196,
281
+ "learning_rate": 0.000208323983828828,
282
+ "loss": 4.271,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.7339449541284404,
287
+ "grad_norm": 0.12099551409482956,
288
+ "learning_rate": 0.0001841999188095224,
289
+ "loss": 4.2747,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.7522935779816514,
294
+ "grad_norm": 0.10912972688674927,
295
+ "learning_rate": 0.00016124158186777676,
296
+ "loss": 4.2766,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.7706422018348624,
301
+ "grad_norm": 0.09746512770652771,
302
+ "learning_rate": 0.0001395337202205211,
303
+ "loss": 4.2672,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.7889908256880734,
308
+ "grad_norm": 0.0992540642619133,
309
+ "learning_rate": 0.00011915646514489292,
310
+ "loss": 4.2729,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.8073394495412844,
315
+ "grad_norm": 0.10315901041030884,
316
+ "learning_rate": 0.00010018503618578818,
317
+ "loss": 4.281,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.8256880733944955,
322
+ "grad_norm": 0.10308006405830383,
323
+ "learning_rate": 8.268946349432583e-05,
324
+ "loss": 4.2697,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.8440366972477065,
329
+ "grad_norm": 0.11523585766553879,
330
+ "learning_rate": 6.673432932217117e-05,
331
+ "loss": 4.2611,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.8623853211009175,
336
+ "grad_norm": 0.10282143950462341,
337
+ "learning_rate": 5.2378529625954684e-05,
338
+ "loss": 4.2499,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.8807339449541285,
343
+ "grad_norm": 0.09811653941869736,
344
+ "learning_rate": 3.9675056661785556e-05,
345
+ "loss": 4.2613,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.8990825688073395,
350
+ "grad_norm": 0.08894379436969757,
351
+ "learning_rate": 2.8670803372379538e-05,
352
+ "loss": 4.2629,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.9174311926605505,
357
+ "grad_norm": 0.08747044205665588,
358
+ "learning_rate": 1.9406390288876586e-05,
359
+ "loss": 4.2735,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.9357798165137615,
364
+ "grad_norm": 0.09227199107408524,
365
+ "learning_rate": 1.191601558631461e-05,
366
+ "loss": 4.2623,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.9541284403669725,
371
+ "grad_norm": 0.08843649178743362,
372
+ "learning_rate": 6.2273288462559305e-06,
373
+ "loss": 4.2536,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.9724770642201835,
378
+ "grad_norm": 0.09049606323242188,
379
+ "learning_rate": 2.361328992552314e-06,
380
+ "loss": 4.2581,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.9908256880733946,
385
+ "grad_norm": 0.09209471195936203,
386
+ "learning_rate": 3.322867770044202e-07,
387
+ "loss": 4.2631,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.0,
392
+ "step": 545,
393
+ "total_flos": 2.889885108938998e+17,
394
+ "train_loss": 4.480545894377822,
395
+ "train_runtime": 5620.1513,
396
+ "train_samples_per_second": 99.308,
397
+ "train_steps_per_second": 0.097
398
+ }
399
+ ],
400
+ "logging_steps": 10,
401
+ "max_steps": 545,
402
+ "num_input_tokens_seen": 0,
403
+ "num_train_epochs": 1,
404
+ "save_steps": 500,
405
+ "stateful_callbacks": {
406
+ "TrainerControl": {
407
+ "args": {
408
+ "should_epoch_stop": false,
409
+ "should_evaluate": false,
410
+ "should_log": false,
411
+ "should_save": false,
412
+ "should_training_stop": false
413
+ },
414
+ "attributes": {}
415
+ }
416
+ },
417
+ "total_flos": 2.889885108938998e+17,
418
+ "train_batch_size": 64,
419
+ "trial_name": null,
420
+ "trial_params": null
421
+ }
continuous/qwen3/mc2_m16_224_mt5/finetune/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
continuous/qwen3/mc2_m16_224_mt5/finetune/config.json ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_faster_video": false,
3
+ "add_time_instruction": false,
4
+ "architectures": [
5
+ "LlavaQwen3ForCausalLM"
6
+ ],
7
+ "attention_bias": false,
8
+ "attention_dropout": 0.0,
9
+ "bos_token_id": 151643,
10
+ "eos_token_id": 151645,
11
+ "faster_token_stride": 10,
12
+ "force_sample": false,
13
+ "head_dim": 128,
14
+ "hidden_act": "silu",
15
+ "hidden_size": 2048,
16
+ "image_aspect_ratio": "square",
17
+ "image_crop_resolution": null,
18
+ "image_grid_pinpoints": null,
19
+ "image_split_resolution": null,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 6144,
22
+ "max_position_embeddings": 40960,
23
+ "max_window_layers": 28,
24
+ "mm_hidden_size": 512,
25
+ "mm_newline_position": "grid",
26
+ "mm_patch_merge_type": "flat",
27
+ "mm_projector_lr": 0.0001,
28
+ "mm_projector_type": "mlp2x_gelu",
29
+ "mm_resampler_type": null,
30
+ "mm_spatial_pool_mode": "bilinear",
31
+ "mm_spatial_pool_stride": null,
32
+ "mm_tunable_parts": "mm_mlp_adapter,mm_language_model",
33
+ "mm_use_im_patch_token": false,
34
+ "mm_use_im_start_end": false,
35
+ "mm_vision_select_feature": "patch",
36
+ "mm_vision_select_layer": -2,
37
+ "mm_vision_tower": "open_clip_hub:ViT-M-16",
38
+ "mm_vision_tower_lr": null,
39
+ "model_type": "qwen3",
40
+ "num_attention_heads": 16,
41
+ "num_hidden_layers": 28,
42
+ "num_key_value_heads": 8,
43
+ "pos_skipping_range": 4096,
44
+ "rms_norm_eps": 1e-06,
45
+ "rope_scaling": null,
46
+ "rope_theta": 1000000,
47
+ "sliding_window": null,
48
+ "tie_word_embeddings": true,
49
+ "tokenizer_model_max_length": 8192,
50
+ "tokenizer_padding_side": "right",
51
+ "torch_dtype": "bfloat16",
52
+ "transformers_version": "4.51.3",
53
+ "use_cache": true,
54
+ "use_mm_proj": true,
55
+ "use_pos_skipping": false,
56
+ "use_sliding_window": false,
57
+ "vision_tower_pretrained": "/cache/ckpt/download/tokenizer/continuous/mc2/mc2_m16_224_mt5.pt",
58
+ "vocab_size": 151936
59
+ }
continuous/qwen3/mc2_m16_224_mt5/finetune/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.51.3"
13
+ }
continuous/qwen3/mc2_m16_224_mt5/finetune/merges.txt ADDED
The diff for this file is too large to render. See raw diff