AALF commited on
Commit
99f3d74
1 Parent(s): d1d5526

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. added_tokens.json +24 -0
  2. all_results.json +9 -0
  3. checkpoint-303/added_tokens.json +24 -0
  4. checkpoint-303/config.json +28 -0
  5. checkpoint-303/generation_config.json +14 -0
  6. checkpoint-303/merges.txt +0 -0
  7. checkpoint-303/model-00001-of-00004.safetensors +3 -0
  8. checkpoint-303/model-00002-of-00004.safetensors +3 -0
  9. checkpoint-303/model-00003-of-00004.safetensors +3 -0
  10. checkpoint-303/model-00004-of-00004.safetensors +3 -0
  11. checkpoint-303/model.safetensors.index.json +346 -0
  12. checkpoint-303/special_tokens_map.json +31 -0
  13. checkpoint-303/tokenizer.json +0 -0
  14. checkpoint-303/tokenizer_config.json +208 -0
  15. checkpoint-303/trainer_state.json +948 -0
  16. checkpoint-303/training_args.bin +3 -0
  17. checkpoint-303/vocab.json +0 -0
  18. checkpoint-404/added_tokens.json +24 -0
  19. checkpoint-404/config.json +28 -0
  20. checkpoint-404/generation_config.json +14 -0
  21. checkpoint-404/merges.txt +0 -0
  22. checkpoint-404/model-00001-of-00004.safetensors +3 -0
  23. checkpoint-404/model-00002-of-00004.safetensors +3 -0
  24. checkpoint-404/model-00003-of-00004.safetensors +3 -0
  25. checkpoint-404/model-00004-of-00004.safetensors +3 -0
  26. checkpoint-404/model.safetensors.index.json +346 -0
  27. checkpoint-404/special_tokens_map.json +31 -0
  28. checkpoint-404/tokenizer.json +0 -0
  29. checkpoint-404/tokenizer_config.json +208 -0
  30. checkpoint-404/trainer_state.json +1248 -0
  31. checkpoint-404/training_args.bin +3 -0
  32. checkpoint-404/vocab.json +0 -0
  33. checkpoint-501/added_tokens.json +24 -0
  34. checkpoint-501/config.json +28 -0
  35. checkpoint-501/generation_config.json +14 -0
  36. checkpoint-501/merges.txt +0 -0
  37. checkpoint-501/model-00001-of-00004.safetensors +3 -0
  38. checkpoint-501/model-00002-of-00004.safetensors +3 -0
  39. checkpoint-501/model-00003-of-00004.safetensors +3 -0
  40. checkpoint-501/model-00004-of-00004.safetensors +3 -0
  41. checkpoint-501/model.safetensors.index.json +346 -0
  42. checkpoint-501/special_tokens_map.json +31 -0
  43. checkpoint-501/tokenizer.json +0 -0
  44. checkpoint-501/tokenizer_config.json +208 -0
  45. checkpoint-501/trainer_state.json +1548 -0
  46. checkpoint-501/training_args.bin +3 -0
  47. checkpoint-501/vocab.json +0 -0
  48. config.json +28 -0
  49. generation_config.json +14 -0
  50. merges.txt +0 -0
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 0.6225600397872354,
5
+ "train_runtime": 17487.6193,
6
+ "train_samples": 64128,
7
+ "train_samples_per_second": 3.667,
8
+ "train_steps_per_second": 0.029
9
+ }
checkpoint-303/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-303/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/GLOBALFS/gznwp_3/qxj/lgzhong/LLaMA-Factory/saves/Qwen2.5-7B-Instruct-SFT-v1.5",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.43.4",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
checkpoint-303/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.43.4"
14
+ }
checkpoint-303/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-303/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:50c13efa948f45962e05ac5afe2972f782051208a2b3fb899932b4af5855ee84
3
+ size 4877660776
checkpoint-303/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eed25ac99a29df782209770a1c641f09aeea9e6499812e79bda53a9ed45f1b8f
3
+ size 4932751008
checkpoint-303/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7af31c820d0b3249a00aff4c0fae8f97fe939c02fd2f3c1b79698050c351b44
3
+ size 4330865200
checkpoint-303/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32d11d083a3980cdc3a6d760faa64bc20f63bc98f348510e8e203230f021d332
3
+ size 1089994880
checkpoint-303/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
checkpoint-303/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
+ }
checkpoint-303/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-303/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 2048,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
checkpoint-303/trainer_state.json ADDED
@@ -0,0 +1,948 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.6047904191616766,
5
+ "eval_steps": 500,
6
+ "global_step": 303,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.001996007984031936,
13
+ "grad_norm": 3.4413226850733536,
14
+ "learning_rate": 5.88235294117647e-09,
15
+ "logits/chosen": -0.2126132994890213,
16
+ "logits/rejected": -0.06049485132098198,
17
+ "logps/chosen": -312.6929931640625,
18
+ "logps/rejected": -303.399658203125,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.00998003992015968,
28
+ "grad_norm": 3.5626484310109503,
29
+ "learning_rate": 2.941176470588235e-08,
30
+ "logits/chosen": -0.15043149888515472,
31
+ "logits/rejected": -0.05884423851966858,
32
+ "logps/chosen": -271.6809387207031,
33
+ "logps/rejected": -308.14019775390625,
34
+ "loss": 0.6932,
35
+ "rewards/accuracies": 0.34375,
36
+ "rewards/chosen": 0.00032658452983014286,
37
+ "rewards/margins": -0.00044720349251292646,
38
+ "rewards/rejected": 0.0007737880805507302,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.01996007984031936,
43
+ "grad_norm": 3.444766226961807,
44
+ "learning_rate": 5.88235294117647e-08,
45
+ "logits/chosen": -0.04885115846991539,
46
+ "logits/rejected": 0.02876092866063118,
47
+ "logps/chosen": -314.44207763671875,
48
+ "logps/rejected": -324.5089111328125,
49
+ "loss": 0.6935,
50
+ "rewards/accuracies": 0.4124999940395355,
51
+ "rewards/chosen": -0.0015638660406693816,
52
+ "rewards/margins": -0.0018882350996136665,
53
+ "rewards/rejected": 0.0003243688843213022,
54
+ "step": 10
55
+ },
56
+ {
57
+ "epoch": 0.029940119760479042,
58
+ "grad_norm": 3.351776759283806,
59
+ "learning_rate": 8.823529411764706e-08,
60
+ "logits/chosen": -0.14645501971244812,
61
+ "logits/rejected": -0.10253484547138214,
62
+ "logps/chosen": -325.3197021484375,
63
+ "logps/rejected": -335.1691589355469,
64
+ "loss": 0.6937,
65
+ "rewards/accuracies": 0.3375000059604645,
66
+ "rewards/chosen": -0.0009325200808234513,
67
+ "rewards/margins": -0.0027469159103929996,
68
+ "rewards/rejected": 0.0018143958877772093,
69
+ "step": 15
70
+ },
71
+ {
72
+ "epoch": 0.03992015968063872,
73
+ "grad_norm": 3.2486760323756765,
74
+ "learning_rate": 1.176470588235294e-07,
75
+ "logits/chosen": -0.17513605952262878,
76
+ "logits/rejected": -0.14125120639801025,
77
+ "logps/chosen": -236.529052734375,
78
+ "logps/rejected": -224.99609375,
79
+ "loss": 0.6932,
80
+ "rewards/accuracies": 0.44999998807907104,
81
+ "rewards/chosen": -0.00048039742978289723,
82
+ "rewards/margins": -0.0017443184042349458,
83
+ "rewards/rejected": 0.0012639210326597095,
84
+ "step": 20
85
+ },
86
+ {
87
+ "epoch": 0.0499001996007984,
88
+ "grad_norm": 3.682895506825886,
89
+ "learning_rate": 1.4705882352941175e-07,
90
+ "logits/chosen": 0.02582230605185032,
91
+ "logits/rejected": -0.026322145015001297,
92
+ "logps/chosen": -276.4084777832031,
93
+ "logps/rejected": -271.5510559082031,
94
+ "loss": 0.6928,
95
+ "rewards/accuracies": 0.5375000238418579,
96
+ "rewards/chosen": -0.00010870690312003717,
97
+ "rewards/margins": -2.2810349037172273e-05,
98
+ "rewards/rejected": -8.589646313339472e-05,
99
+ "step": 25
100
+ },
101
+ {
102
+ "epoch": 0.059880239520958084,
103
+ "grad_norm": 3.521568498969969,
104
+ "learning_rate": 1.764705882352941e-07,
105
+ "logits/chosen": -0.029633093625307083,
106
+ "logits/rejected": 0.017462745308876038,
107
+ "logps/chosen": -241.04345703125,
108
+ "logps/rejected": -254.0708465576172,
109
+ "loss": 0.6929,
110
+ "rewards/accuracies": 0.5,
111
+ "rewards/chosen": 0.001156697398982942,
112
+ "rewards/margins": 0.0012088593794032931,
113
+ "rewards/rejected": -5.2162260544719175e-05,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.06986027944111776,
118
+ "grad_norm": 3.4756100770970852,
119
+ "learning_rate": 2.0588235294117647e-07,
120
+ "logits/chosen": -0.09809896349906921,
121
+ "logits/rejected": -0.12783308327198029,
122
+ "logps/chosen": -316.04541015625,
123
+ "logps/rejected": -303.2275085449219,
124
+ "loss": 0.6926,
125
+ "rewards/accuracies": 0.6499999761581421,
126
+ "rewards/chosen": 0.0019062187056988478,
127
+ "rewards/margins": 0.0034712664783000946,
128
+ "rewards/rejected": -0.0015650471905246377,
129
+ "step": 35
130
+ },
131
+ {
132
+ "epoch": 0.07984031936127745,
133
+ "grad_norm": 3.5251485554920383,
134
+ "learning_rate": 2.352941176470588e-07,
135
+ "logits/chosen": -0.10866469144821167,
136
+ "logits/rejected": -0.08842261880636215,
137
+ "logps/chosen": -300.94866943359375,
138
+ "logps/rejected": -301.57635498046875,
139
+ "loss": 0.6927,
140
+ "rewards/accuracies": 0.48750001192092896,
141
+ "rewards/chosen": 0.0005061564734205604,
142
+ "rewards/margins": 0.0017319575417786837,
143
+ "rewards/rejected": -0.0012258009519428015,
144
+ "step": 40
145
+ },
146
+ {
147
+ "epoch": 0.08982035928143713,
148
+ "grad_norm": 3.562421126179782,
149
+ "learning_rate": 2.6470588235294114e-07,
150
+ "logits/chosen": -0.04412439838051796,
151
+ "logits/rejected": 0.046757772564888,
152
+ "logps/chosen": -276.1053771972656,
153
+ "logps/rejected": -299.3190612792969,
154
+ "loss": 0.692,
155
+ "rewards/accuracies": 0.574999988079071,
156
+ "rewards/chosen": -0.002857887651771307,
157
+ "rewards/margins": 0.0004688422195613384,
158
+ "rewards/rejected": -0.003326730104163289,
159
+ "step": 45
160
+ },
161
+ {
162
+ "epoch": 0.0998003992015968,
163
+ "grad_norm": 3.174201376940309,
164
+ "learning_rate": 2.941176470588235e-07,
165
+ "logits/chosen": -0.08824320137500763,
166
+ "logits/rejected": -0.043245576322078705,
167
+ "logps/chosen": -271.13604736328125,
168
+ "logps/rejected": -272.74102783203125,
169
+ "loss": 0.6914,
170
+ "rewards/accuracies": 0.6000000238418579,
171
+ "rewards/chosen": -0.0016361953457817435,
172
+ "rewards/margins": 0.005965009797364473,
173
+ "rewards/rejected": -0.007601206190884113,
174
+ "step": 50
175
+ },
176
+ {
177
+ "epoch": 0.10978043912175649,
178
+ "grad_norm": 3.3426951285606368,
179
+ "learning_rate": 2.999415172560531e-07,
180
+ "logits/chosen": 0.032454706728458405,
181
+ "logits/rejected": 0.15314094722270966,
182
+ "logps/chosen": -301.4625244140625,
183
+ "logps/rejected": -304.8877258300781,
184
+ "loss": 0.691,
185
+ "rewards/accuracies": 0.612500011920929,
186
+ "rewards/chosen": -0.007659287191927433,
187
+ "rewards/margins": 0.0023522169794887304,
188
+ "rewards/rejected": -0.010011503472924232,
189
+ "step": 55
190
+ },
191
+ {
192
+ "epoch": 0.11976047904191617,
193
+ "grad_norm": 3.2266501701625283,
194
+ "learning_rate": 2.997040092642407e-07,
195
+ "logits/chosen": -0.13825412094593048,
196
+ "logits/rejected": -0.06802596896886826,
197
+ "logps/chosen": -273.85198974609375,
198
+ "logps/rejected": -256.1399841308594,
199
+ "loss": 0.6905,
200
+ "rewards/accuracies": 0.699999988079071,
201
+ "rewards/chosen": -0.0074735768139362335,
202
+ "rewards/margins": 0.005476811900734901,
203
+ "rewards/rejected": -0.012950388714671135,
204
+ "step": 60
205
+ },
206
+ {
207
+ "epoch": 0.12974051896207583,
208
+ "grad_norm": 3.129826931598691,
209
+ "learning_rate": 2.9928410999727467e-07,
210
+ "logits/chosen": -0.03806266561150551,
211
+ "logits/rejected": -0.06114925071597099,
212
+ "logps/chosen": -273.815673828125,
213
+ "logps/rejected": -257.2196350097656,
214
+ "loss": 0.6897,
215
+ "rewards/accuracies": 0.6625000238418579,
216
+ "rewards/chosen": -0.010186719708144665,
217
+ "rewards/margins": 0.00584446731954813,
218
+ "rewards/rejected": -0.016031187027692795,
219
+ "step": 65
220
+ },
221
+ {
222
+ "epoch": 0.13972055888223553,
223
+ "grad_norm": 3.2696148017727764,
224
+ "learning_rate": 2.9868233103773125e-07,
225
+ "logits/chosen": -0.19126296043395996,
226
+ "logits/rejected": -0.1384088099002838,
227
+ "logps/chosen": -289.3074645996094,
228
+ "logps/rejected": -304.941650390625,
229
+ "loss": 0.6901,
230
+ "rewards/accuracies": 0.6499999761581421,
231
+ "rewards/chosen": -0.012994937598705292,
232
+ "rewards/margins": 0.006138815078884363,
233
+ "rewards/rejected": -0.019133752211928368,
234
+ "step": 70
235
+ },
236
+ {
237
+ "epoch": 0.1497005988023952,
238
+ "grad_norm": 3.158441752144902,
239
+ "learning_rate": 2.978994055605757e-07,
240
+ "logits/chosen": -0.3353852927684784,
241
+ "logits/rejected": -0.20957405865192413,
242
+ "logps/chosen": -282.4247131347656,
243
+ "logps/rejected": -297.1376647949219,
244
+ "loss": 0.6887,
245
+ "rewards/accuracies": 0.7749999761581421,
246
+ "rewards/chosen": -0.013628537766635418,
247
+ "rewards/margins": 0.012240052223205566,
248
+ "rewards/rejected": -0.02586858905851841,
249
+ "step": 75
250
+ },
251
+ {
252
+ "epoch": 0.1596806387225549,
253
+ "grad_norm": 3.2922551208958932,
254
+ "learning_rate": 2.9693628743990157e-07,
255
+ "logits/chosen": -0.2210439145565033,
256
+ "logits/rejected": -0.13906380534172058,
257
+ "logps/chosen": -286.2383728027344,
258
+ "logps/rejected": -284.0565490722656,
259
+ "loss": 0.6885,
260
+ "rewards/accuracies": 0.824999988079071,
261
+ "rewards/chosen": -0.012788718566298485,
262
+ "rewards/margins": 0.01518750749528408,
263
+ "rewards/rejected": -0.027976226061582565,
264
+ "step": 80
265
+ },
266
+ {
267
+ "epoch": 0.16966067864271456,
268
+ "grad_norm": 3.143746580193799,
269
+ "learning_rate": 2.9579415008678196e-07,
270
+ "logits/chosen": 0.061027251183986664,
271
+ "logits/rejected": 0.020937766879796982,
272
+ "logps/chosen": -261.85797119140625,
273
+ "logps/rejected": -245.4117889404297,
274
+ "loss": 0.6879,
275
+ "rewards/accuracies": 0.7124999761581421,
276
+ "rewards/chosen": -0.020817553624510765,
277
+ "rewards/margins": 0.01146668754518032,
278
+ "rewards/rejected": -0.032284241169691086,
279
+ "step": 85
280
+ },
281
+ {
282
+ "epoch": 0.17964071856287425,
283
+ "grad_norm": 3.1363791165769634,
284
+ "learning_rate": 2.944743850196487e-07,
285
+ "logits/chosen": -0.18295350670814514,
286
+ "logits/rejected": -0.138901025056839,
287
+ "logps/chosen": -302.30377197265625,
288
+ "logps/rejected": -297.4572448730469,
289
+ "loss": 0.6867,
290
+ "rewards/accuracies": 0.7250000238418579,
291
+ "rewards/chosen": -0.022789286449551582,
292
+ "rewards/margins": 0.014456982724368572,
293
+ "rewards/rejected": -0.03724626824259758,
294
+ "step": 90
295
+ },
296
+ {
297
+ "epoch": 0.18962075848303392,
298
+ "grad_norm": 3.375624228841244,
299
+ "learning_rate": 2.92978600168942e-07,
300
+ "logits/chosen": -0.21953599154949188,
301
+ "logits/rejected": -0.19249823689460754,
302
+ "logps/chosen": -282.0645446777344,
303
+ "logps/rejected": -293.2350158691406,
304
+ "loss": 0.6865,
305
+ "rewards/accuracies": 0.8374999761581421,
306
+ "rewards/chosen": -0.028345201164484024,
307
+ "rewards/margins": 0.015181821770966053,
308
+ "rewards/rejected": -0.0435270220041275,
309
+ "step": 95
310
+ },
311
+ {
312
+ "epoch": 0.1996007984031936,
313
+ "grad_norm": 3.4004680540887673,
314
+ "learning_rate": 2.913086179180945e-07,
315
+ "logits/chosen": -0.26934295892715454,
316
+ "logits/rejected": -0.24918439984321594,
317
+ "logps/chosen": -267.2822570800781,
318
+ "logps/rejected": -273.8163757324219,
319
+ "loss": 0.6847,
320
+ "rewards/accuracies": 0.762499988079071,
321
+ "rewards/chosen": -0.02366602048277855,
322
+ "rewards/margins": 0.018390221521258354,
323
+ "rewards/rejected": -0.042056240141391754,
324
+ "step": 100
325
+ },
326
+ {
327
+ "epoch": 0.20958083832335328,
328
+ "grad_norm": 3.348944145808141,
329
+ "learning_rate": 2.894664728832377e-07,
330
+ "logits/chosen": -0.12691783905029297,
331
+ "logits/rejected": -0.10880570113658905,
332
+ "logps/chosen": -306.7061462402344,
333
+ "logps/rejected": -296.7961120605469,
334
+ "loss": 0.684,
335
+ "rewards/accuracies": 0.8125,
336
+ "rewards/chosen": -0.02831300161778927,
337
+ "rewards/margins": 0.024948222562670708,
338
+ "rewards/rejected": -0.053261227905750275,
339
+ "step": 105
340
+ },
341
+ {
342
+ "epoch": 0.21956087824351297,
343
+ "grad_norm": 3.3068624575557677,
344
+ "learning_rate": 2.8745440943433595e-07,
345
+ "logits/chosen": -0.39724451303482056,
346
+ "logits/rejected": -0.3233721852302551,
347
+ "logps/chosen": -299.71356201171875,
348
+ "logps/rejected": -307.81011962890625,
349
+ "loss": 0.6826,
350
+ "rewards/accuracies": 0.675000011920929,
351
+ "rewards/chosen": -0.037553686648607254,
352
+ "rewards/margins": 0.01620485447347164,
353
+ "rewards/rejected": -0.053758542984724045,
354
+ "step": 110
355
+ },
356
+ {
357
+ "epoch": 0.22954091816367264,
358
+ "grad_norm": 3.5399975333931057,
359
+ "learning_rate": 2.8527487896076705e-07,
360
+ "logits/chosen": -0.2971861958503723,
361
+ "logits/rejected": -0.26923665404319763,
362
+ "logps/chosen": -323.73760986328125,
363
+ "logps/rejected": -317.88238525390625,
364
+ "loss": 0.6812,
365
+ "rewards/accuracies": 0.8125,
366
+ "rewards/chosen": -0.03361167758703232,
367
+ "rewards/margins": 0.025083836168050766,
368
+ "rewards/rejected": -0.058695513755083084,
369
+ "step": 115
370
+ },
371
+ {
372
+ "epoch": 0.23952095808383234,
373
+ "grad_norm": 3.387251098081717,
374
+ "learning_rate": 2.829305368846822e-07,
375
+ "logits/chosen": -0.08930722624063492,
376
+ "logits/rejected": -0.093043752014637,
377
+ "logps/chosen": -298.3551330566406,
378
+ "logps/rejected": -301.565185546875,
379
+ "loss": 0.6807,
380
+ "rewards/accuracies": 0.762499988079071,
381
+ "rewards/chosen": -0.04334830120205879,
382
+ "rewards/margins": 0.02416048012673855,
383
+ "rewards/rejected": -0.06750877946615219,
384
+ "step": 120
385
+ },
386
+ {
387
+ "epoch": 0.249500998003992,
388
+ "grad_norm": 3.458206539528906,
389
+ "learning_rate": 2.8042423942578286e-07,
390
+ "logits/chosen": -0.06799415498971939,
391
+ "logits/rejected": 0.05015769600868225,
392
+ "logps/chosen": -252.72793579101562,
393
+ "logps/rejected": -279.40631103515625,
394
+ "loss": 0.6788,
395
+ "rewards/accuracies": 0.887499988079071,
396
+ "rewards/chosen": -0.0386417880654335,
397
+ "rewards/margins": 0.03730592131614685,
398
+ "rewards/rejected": -0.07594770938158035,
399
+ "step": 125
400
+ },
401
+ {
402
+ "epoch": 0.25948103792415167,
403
+ "grad_norm": 3.4555138461844757,
404
+ "learning_rate": 2.7775904012145714e-07,
405
+ "logits/chosen": -0.24486279487609863,
406
+ "logits/rejected": -0.1943987011909485,
407
+ "logps/chosen": -326.3341369628906,
408
+ "logps/rejected": -326.3017272949219,
409
+ "loss": 0.6792,
410
+ "rewards/accuracies": 0.75,
411
+ "rewards/chosen": -0.04846924915909767,
412
+ "rewards/margins": 0.03331124037504196,
413
+ "rewards/rejected": -0.08178049325942993,
414
+ "step": 130
415
+ },
416
+ {
417
+ "epoch": 0.2694610778443114,
418
+ "grad_norm": 3.4103149118409104,
419
+ "learning_rate": 2.749381861065149e-07,
420
+ "logits/chosen": -0.11615544557571411,
421
+ "logits/rejected": -0.02477203868329525,
422
+ "logps/chosen": -281.5689697265625,
423
+ "logps/rejected": -289.6168518066406,
424
+ "loss": 0.6756,
425
+ "rewards/accuracies": 0.762499988079071,
426
+ "rewards/chosen": -0.04677049443125725,
427
+ "rewards/margins": 0.03843165561556816,
428
+ "rewards/rejected": -0.085202157497406,
429
+ "step": 135
430
+ },
431
+ {
432
+ "epoch": 0.27944111776447106,
433
+ "grad_norm": 3.3294732309430946,
434
+ "learning_rate": 2.719651141570541e-07,
435
+ "logits/chosen": -0.07356293499469757,
436
+ "logits/rejected": 0.01894739270210266,
437
+ "logps/chosen": -295.6517333984375,
438
+ "logps/rejected": -294.22064208984375,
439
+ "loss": 0.6733,
440
+ "rewards/accuracies": 0.800000011920929,
441
+ "rewards/chosen": -0.04726024717092514,
442
+ "rewards/margins": 0.05050128698348999,
443
+ "rewards/rejected": -0.09776153415441513,
444
+ "step": 140
445
+ },
446
+ {
447
+ "epoch": 0.2894211576846307,
448
+ "grad_norm": 3.335787112423438,
449
+ "learning_rate": 2.6884344650327857e-07,
450
+ "logits/chosen": -0.3144836127758026,
451
+ "logits/rejected": -0.2471332997083664,
452
+ "logps/chosen": -275.6163635253906,
453
+ "logps/rejected": -283.7267150878906,
454
+ "loss": 0.6741,
455
+ "rewards/accuracies": 0.7250000238418579,
456
+ "rewards/chosen": -0.06026310846209526,
457
+ "rewards/margins": 0.03206663206219673,
458
+ "rewards/rejected": -0.0923297330737114,
459
+ "step": 145
460
+ },
461
+ {
462
+ "epoch": 0.2994011976047904,
463
+ "grad_norm": 3.351780879830391,
464
+ "learning_rate": 2.6557698641636836e-07,
465
+ "logits/chosen": -0.09479612112045288,
466
+ "logits/rejected": -0.05155174061655998,
467
+ "logps/chosen": -273.46527099609375,
468
+ "logps/rejected": -285.8160095214844,
469
+ "loss": 0.6719,
470
+ "rewards/accuracies": 0.737500011920929,
471
+ "rewards/chosen": -0.057442475110292435,
472
+ "rewards/margins": 0.04023780673742294,
473
+ "rewards/rejected": -0.09768027812242508,
474
+ "step": 150
475
+ },
476
+ {
477
+ "epoch": 0.3093812375249501,
478
+ "grad_norm": 3.3953812787691744,
479
+ "learning_rate": 2.6216971357477977e-07,
480
+ "logits/chosen": -0.20542898774147034,
481
+ "logits/rejected": -0.16760793328285217,
482
+ "logps/chosen": -319.43438720703125,
483
+ "logps/rejected": -337.89678955078125,
484
+ "loss": 0.6677,
485
+ "rewards/accuracies": 0.7124999761581421,
486
+ "rewards/chosen": -0.0877736285328865,
487
+ "rewards/margins": 0.05791449546813965,
488
+ "rewards/rejected": -0.14568811655044556,
489
+ "step": 155
490
+ },
491
+ {
492
+ "epoch": 0.3193612774451098,
493
+ "grad_norm": 3.7295101426966957,
494
+ "learning_rate": 2.5862577921562015e-07,
495
+ "logits/chosen": -0.26064497232437134,
496
+ "logits/rejected": -0.1645033359527588,
497
+ "logps/chosen": -292.02484130859375,
498
+ "logps/rejected": -300.4161376953125,
499
+ "loss": 0.665,
500
+ "rewards/accuracies": 0.75,
501
+ "rewards/chosen": -0.08468987792730331,
502
+ "rewards/margins": 0.062365107238292694,
503
+ "rewards/rejected": -0.1470550000667572,
504
+ "step": 160
505
+ },
506
+ {
507
+ "epoch": 0.32934131736526945,
508
+ "grad_norm": 3.5278102635310775,
509
+ "learning_rate": 2.549495010770048e-07,
510
+ "logits/chosen": -0.2758394777774811,
511
+ "logits/rejected": -0.20927894115447998,
512
+ "logps/chosen": -288.8243713378906,
513
+ "logps/rejected": -291.8514404296875,
514
+ "loss": 0.6655,
515
+ "rewards/accuracies": 0.7749999761581421,
516
+ "rewards/chosen": -0.10788210481405258,
517
+ "rewards/margins": 0.06151789426803589,
518
+ "rewards/rejected": -0.16940000653266907,
519
+ "step": 165
520
+ },
521
+ {
522
+ "epoch": 0.3393213572854291,
523
+ "grad_norm": 3.512512373193113,
524
+ "learning_rate": 2.511453581375585e-07,
525
+ "logits/chosen": -0.39803841710090637,
526
+ "logits/rejected": -0.3213597238063812,
527
+ "logps/chosen": -258.41326904296875,
528
+ "logps/rejected": -263.5000915527344,
529
+ "loss": 0.6625,
530
+ "rewards/accuracies": 0.7250000238418579,
531
+ "rewards/chosen": -0.10974812507629395,
532
+ "rewards/margins": 0.04202640801668167,
533
+ "rewards/rejected": -0.15177452564239502,
534
+ "step": 170
535
+ },
536
+ {
537
+ "epoch": 0.34930139720558884,
538
+ "grad_norm": 3.7824536020137383,
539
+ "learning_rate": 2.4721798515946963e-07,
540
+ "logits/chosen": -0.2360338717699051,
541
+ "logits/rejected": -0.17899933457374573,
542
+ "logps/chosen": -274.8690185546875,
543
+ "logps/rejected": -291.98419189453125,
544
+ "loss": 0.6587,
545
+ "rewards/accuracies": 0.8125,
546
+ "rewards/chosen": -0.1216902956366539,
547
+ "rewards/margins": 0.0732160434126854,
548
+ "rewards/rejected": -0.1949063539505005,
549
+ "step": 175
550
+ },
551
+ {
552
+ "epoch": 0.3592814371257485,
553
+ "grad_norm": 3.6570477679381033,
554
+ "learning_rate": 2.4317216704174655e-07,
555
+ "logits/chosen": -0.2678098976612091,
556
+ "logits/rejected": -0.22654588520526886,
557
+ "logps/chosen": -285.76885986328125,
558
+ "logps/rejected": -300.3975524902344,
559
+ "loss": 0.6575,
560
+ "rewards/accuracies": 0.7749999761581421,
561
+ "rewards/chosen": -0.13574646413326263,
562
+ "rewards/margins": 0.06750482320785522,
563
+ "rewards/rejected": -0.20325128734111786,
564
+ "step": 180
565
+ },
566
+ {
567
+ "epoch": 0.36926147704590817,
568
+ "grad_norm": 3.705774667801494,
569
+ "learning_rate": 2.3901283299055524e-07,
570
+ "logits/chosen": -0.4732998013496399,
571
+ "logits/rejected": -0.39881661534309387,
572
+ "logps/chosen": -321.14984130859375,
573
+ "logps/rejected": -326.15032958984375,
574
+ "loss": 0.6514,
575
+ "rewards/accuracies": 0.800000011920929,
576
+ "rewards/chosen": -0.17002463340759277,
577
+ "rewards/margins": 0.08681143075227737,
578
+ "rewards/rejected": -0.25683605670928955,
579
+ "step": 185
580
+ },
581
+ {
582
+ "epoch": 0.37924151696606784,
583
+ "grad_norm": 3.4125215861302176,
584
+ "learning_rate": 2.3474505051374067e-07,
585
+ "logits/chosen": -0.34785977005958557,
586
+ "logits/rejected": -0.24581901729106903,
587
+ "logps/chosen": -323.81732177734375,
588
+ "logps/rejected": -328.8360900878906,
589
+ "loss": 0.6496,
590
+ "rewards/accuracies": 0.699999988079071,
591
+ "rewards/chosen": -0.20683076977729797,
592
+ "rewards/margins": 0.07259462773799896,
593
+ "rewards/rejected": -0.2794254422187805,
594
+ "step": 190
595
+ },
596
+ {
597
+ "epoch": 0.38922155688622756,
598
+ "grad_norm": 3.6035947439545715,
599
+ "learning_rate": 2.3037401924684947e-07,
600
+ "logits/chosen": -0.2815292775630951,
601
+ "logits/rejected": -0.2620851397514343,
602
+ "logps/chosen": -319.5675048828125,
603
+ "logps/rejected": -332.9228210449219,
604
+ "loss": 0.6501,
605
+ "rewards/accuracies": 0.762499988079071,
606
+ "rewards/chosen": -0.2412305772304535,
607
+ "rewards/margins": 0.09057402610778809,
608
+ "rewards/rejected": -0.3318046033382416,
609
+ "step": 195
610
+ },
611
+ {
612
+ "epoch": 0.3992015968063872,
613
+ "grad_norm": 3.6822468215438624,
614
+ "learning_rate": 2.2590506461817452e-07,
615
+ "logits/chosen": -0.259944349527359,
616
+ "logits/rejected": -0.20725861191749573,
617
+ "logps/chosen": -298.30303955078125,
618
+ "logps/rejected": -305.5474548339844,
619
+ "loss": 0.6419,
620
+ "rewards/accuracies": 0.800000011920929,
621
+ "rewards/chosen": -0.24381069839000702,
622
+ "rewards/margins": 0.11996382474899292,
623
+ "rewards/rejected": -0.36377447843551636,
624
+ "step": 200
625
+ },
626
+ {
627
+ "epoch": 0.4091816367265469,
628
+ "grad_norm": 3.7132773714988927,
629
+ "learning_rate": 2.213436313605413e-07,
630
+ "logits/chosen": -0.5560285449028015,
631
+ "logits/rejected": -0.49163347482681274,
632
+ "logps/chosen": -387.44171142578125,
633
+ "logps/rejected": -402.449462890625,
634
+ "loss": 0.6434,
635
+ "rewards/accuracies": 0.7250000238418579,
636
+ "rewards/chosen": -0.3169836699962616,
637
+ "rewards/margins": 0.07618891447782516,
638
+ "rewards/rejected": -0.39317259192466736,
639
+ "step": 205
640
+ },
641
+ {
642
+ "epoch": 0.41916167664670656,
643
+ "grad_norm": 3.775451248470663,
644
+ "learning_rate": 2.166952768777391e-07,
645
+ "logits/chosen": -0.2941240966320038,
646
+ "logits/rejected": -0.3131045997142792,
647
+ "logps/chosen": -303.090087890625,
648
+ "logps/rejected": -298.85699462890625,
649
+ "loss": 0.6404,
650
+ "rewards/accuracies": 0.75,
651
+ "rewards/chosen": -0.2724608778953552,
652
+ "rewards/margins": 0.1073354110121727,
653
+ "rewards/rejected": -0.3797963261604309,
654
+ "step": 210
655
+ },
656
+ {
657
+ "epoch": 0.4291417165668663,
658
+ "grad_norm": 3.7925188623151422,
659
+ "learning_rate": 2.1196566447368126e-07,
660
+ "logits/chosen": -0.26538053154945374,
661
+ "logits/rejected": -0.25145062804222107,
662
+ "logps/chosen": -334.455078125,
663
+ "logps/rejected": -356.2786865234375,
664
+ "loss": 0.6355,
665
+ "rewards/accuracies": 0.75,
666
+ "rewards/chosen": -0.34816819429397583,
667
+ "rewards/margins": 0.12635044753551483,
668
+ "rewards/rejected": -0.4745185971260071,
669
+ "step": 215
670
+ },
671
+ {
672
+ "epoch": 0.43912175648702595,
673
+ "grad_norm": 3.8981243362393565,
674
+ "learning_rate": 2.0716055645254113e-07,
675
+ "logits/chosen": -0.46777939796447754,
676
+ "logits/rejected": -0.4300519824028015,
677
+ "logps/chosen": -325.1937255859375,
678
+ "logps/rejected": -333.54022216796875,
679
+ "loss": 0.641,
680
+ "rewards/accuracies": 0.737500011920929,
681
+ "rewards/chosen": -0.4105430245399475,
682
+ "rewards/margins": 0.10119415819644928,
683
+ "rewards/rejected": -0.5117372274398804,
684
+ "step": 220
685
+ },
686
+ {
687
+ "epoch": 0.4491017964071856,
688
+ "grad_norm": 3.7392987472200354,
689
+ "learning_rate": 2.0228580709827226e-07,
690
+ "logits/chosen": -0.5368104577064514,
691
+ "logits/rejected": -0.45491117238998413,
692
+ "logps/chosen": -349.7928771972656,
693
+ "logps/rejected": -371.95050048828125,
694
+ "loss": 0.6326,
695
+ "rewards/accuracies": 0.800000011920929,
696
+ "rewards/chosen": -0.3743346631526947,
697
+ "rewards/margins": 0.1426324099302292,
698
+ "rewards/rejected": -0.5169671177864075,
699
+ "step": 225
700
+ },
701
+ {
702
+ "epoch": 0.4590818363273453,
703
+ "grad_norm": 3.6974655152807174,
704
+ "learning_rate": 1.9734735554206537e-07,
705
+ "logits/chosen": -0.31408676505088806,
706
+ "logits/rejected": -0.2642524242401123,
707
+ "logps/chosen": -349.4893798828125,
708
+ "logps/rejected": -369.08990478515625,
709
+ "loss": 0.6238,
710
+ "rewards/accuracies": 0.75,
711
+ "rewards/chosen": -0.47439342737197876,
712
+ "rewards/margins": 0.15798419713974,
713
+ "rewards/rejected": -0.632377564907074,
714
+ "step": 230
715
+ },
716
+ {
717
+ "epoch": 0.469061876247505,
718
+ "grad_norm": 3.9074441662298662,
719
+ "learning_rate": 1.9235121852643148e-07,
720
+ "logits/chosen": -0.4889460504055023,
721
+ "logits/rejected": -0.48752936720848083,
722
+ "logps/chosen": -331.08624267578125,
723
+ "logps/rejected": -348.8202819824219,
724
+ "loss": 0.6259,
725
+ "rewards/accuracies": 0.7875000238418579,
726
+ "rewards/chosen": -0.41649022698402405,
727
+ "rewards/margins": 0.1930549144744873,
728
+ "rewards/rejected": -0.609545111656189,
729
+ "step": 235
730
+ },
731
+ {
732
+ "epoch": 0.47904191616766467,
733
+ "grad_norm": 3.7710978575315757,
734
+ "learning_rate": 1.8730348307472826e-07,
735
+ "logits/chosen": -0.4119279384613037,
736
+ "logits/rejected": -0.444758802652359,
737
+ "logps/chosen": -348.2624206542969,
738
+ "logps/rejected": -369.9598083496094,
739
+ "loss": 0.6249,
740
+ "rewards/accuracies": 0.7250000238418579,
741
+ "rewards/chosen": -0.5225319862365723,
742
+ "rewards/margins": 0.13163016736507416,
743
+ "rewards/rejected": -0.6541622281074524,
744
+ "step": 240
745
+ },
746
+ {
747
+ "epoch": 0.48902195608782434,
748
+ "grad_norm": 4.08348789093204,
749
+ "learning_rate": 1.822102990750595e-07,
750
+ "logits/chosen": -0.5410420298576355,
751
+ "logits/rejected": -0.4581461548805237,
752
+ "logps/chosen": -300.3963317871094,
753
+ "logps/rejected": -326.97357177734375,
754
+ "loss": 0.6205,
755
+ "rewards/accuracies": 0.824999988079071,
756
+ "rewards/chosen": -0.4268406927585602,
757
+ "rewards/margins": 0.17870576679706573,
758
+ "rewards/rejected": -0.6055464744567871,
759
+ "step": 245
760
+ },
761
+ {
762
+ "epoch": 0.499001996007984,
763
+ "grad_norm": 3.8249633059365977,
764
+ "learning_rate": 1.7707787178758402e-07,
765
+ "logits/chosen": -0.5376532673835754,
766
+ "logits/rejected": -0.5166374444961548,
767
+ "logps/chosen": -334.3974609375,
768
+ "logps/rejected": -363.59832763671875,
769
+ "loss": 0.6097,
770
+ "rewards/accuracies": 0.824999988079071,
771
+ "rewards/chosen": -0.5467029809951782,
772
+ "rewards/margins": 0.219395712018013,
773
+ "rewards/rejected": -0.7660986185073853,
774
+ "step": 250
775
+ },
776
+ {
777
+ "epoch": 0.5089820359281437,
778
+ "grad_norm": 4.084608415013939,
779
+ "learning_rate": 1.7191245428436176e-07,
780
+ "logits/chosen": -0.6120297908782959,
781
+ "logits/rejected": -0.5665668249130249,
782
+ "logps/chosen": -388.49237060546875,
783
+ "logps/rejected": -404.17913818359375,
784
+ "loss": 0.6066,
785
+ "rewards/accuracies": 0.8125,
786
+ "rewards/chosen": -0.5541552305221558,
787
+ "rewards/margins": 0.18654166162014008,
788
+ "rewards/rejected": -0.7406969666481018,
789
+ "step": 255
790
+ },
791
+ {
792
+ "epoch": 0.5189620758483033,
793
+ "grad_norm": 4.127013078261958,
794
+ "learning_rate": 1.667203398309488e-07,
795
+ "logits/chosen": -0.602649450302124,
796
+ "logits/rejected": -0.47091540694236755,
797
+ "logps/chosen": -342.5652770996094,
798
+ "logps/rejected": -363.1390380859375,
799
+ "loss": 0.6099,
800
+ "rewards/accuracies": 0.762499988079071,
801
+ "rewards/chosen": -0.5999665260314941,
802
+ "rewards/margins": 0.22458717226982117,
803
+ "rewards/rejected": -0.8245537877082825,
804
+ "step": 260
805
+ },
806
+ {
807
+ "epoch": 0.5289421157684631,
808
+ "grad_norm": 4.181662944251744,
809
+ "learning_rate": 1.6150785421902278e-07,
810
+ "logits/chosen": -0.49136123061180115,
811
+ "logits/rejected": -0.4355231821537018,
812
+ "logps/chosen": -355.0814514160156,
813
+ "logps/rejected": -400.48486328125,
814
+ "loss": 0.6027,
815
+ "rewards/accuracies": 0.762499988079071,
816
+ "rewards/chosen": -0.6992485523223877,
817
+ "rewards/margins": 0.2647705674171448,
818
+ "rewards/rejected": -0.9640190005302429,
819
+ "step": 265
820
+ },
821
+ {
822
+ "epoch": 0.5389221556886228,
823
+ "grad_norm": 4.187328944312369,
824
+ "learning_rate": 1.5628134805937993e-07,
825
+ "logits/chosen": -0.6901322603225708,
826
+ "logits/rejected": -0.7155795693397522,
827
+ "logps/chosen": -338.4058532714844,
828
+ "logps/rejected": -357.05145263671875,
829
+ "loss": 0.6044,
830
+ "rewards/accuracies": 0.800000011920929,
831
+ "rewards/chosen": -0.6499531865119934,
832
+ "rewards/margins": 0.2078942060470581,
833
+ "rewards/rejected": -0.8578473329544067,
834
+ "step": 270
835
+ },
836
+ {
837
+ "epoch": 0.5489021956087824,
838
+ "grad_norm": 4.480820141822546,
839
+ "learning_rate": 1.5104718904469424e-07,
840
+ "logits/chosen": -0.49210062623023987,
841
+ "logits/rejected": -0.4995419979095459,
842
+ "logps/chosen": -362.78936767578125,
843
+ "logps/rejected": -376.6024475097656,
844
+ "loss": 0.6022,
845
+ "rewards/accuracies": 0.7749999761581421,
846
+ "rewards/chosen": -0.684400200843811,
847
+ "rewards/margins": 0.22897310554981232,
848
+ "rewards/rejected": -0.9133733510971069,
849
+ "step": 275
850
+ },
851
+ {
852
+ "epoch": 0.5588822355289421,
853
+ "grad_norm": 4.335560690928003,
854
+ "learning_rate": 1.458117541914647e-07,
855
+ "logits/chosen": -0.6205674409866333,
856
+ "logits/rejected": -0.5415416955947876,
857
+ "logps/chosen": -363.15484619140625,
858
+ "logps/rejected": -380.423828125,
859
+ "loss": 0.601,
860
+ "rewards/accuracies": 0.762499988079071,
861
+ "rewards/chosen": -0.7319628000259399,
862
+ "rewards/margins": 0.22972945868968964,
863
+ "rewards/rejected": -0.9616923332214355,
864
+ "step": 280
865
+ },
866
+ {
867
+ "epoch": 0.5688622754491018,
868
+ "grad_norm": 4.236266469806635,
869
+ "learning_rate": 1.4058142207060298e-07,
870
+ "logits/chosen": -0.5227392315864563,
871
+ "logits/rejected": -0.44109734892845154,
872
+ "logps/chosen": -350.81268310546875,
873
+ "logps/rejected": -387.339111328125,
874
+ "loss": 0.599,
875
+ "rewards/accuracies": 0.8125,
876
+ "rewards/chosen": -0.7962437272071838,
877
+ "rewards/margins": 0.2677839994430542,
878
+ "rewards/rejected": -1.0640277862548828,
879
+ "step": 285
880
+ },
881
+ {
882
+ "epoch": 0.5788423153692615,
883
+ "grad_norm": 4.1859368563558546,
884
+ "learning_rate": 1.353625650361276e-07,
885
+ "logits/chosen": -0.4567599296569824,
886
+ "logits/rejected": -0.37081751227378845,
887
+ "logps/chosen": -292.90582275390625,
888
+ "logps/rejected": -351.08428955078125,
889
+ "loss": 0.5976,
890
+ "rewards/accuracies": 0.800000011920929,
891
+ "rewards/chosen": -0.7117597460746765,
892
+ "rewards/margins": 0.23347418010234833,
893
+ "rewards/rejected": -0.9452340006828308,
894
+ "step": 290
895
+ },
896
+ {
897
+ "epoch": 0.5888223552894212,
898
+ "grad_norm": 4.963202872238042,
899
+ "learning_rate": 1.301615414614316e-07,
900
+ "logits/chosen": -0.5814245939254761,
901
+ "logits/rejected": -0.477074533700943,
902
+ "logps/chosen": -359.9764404296875,
903
+ "logps/rejected": -408.649169921875,
904
+ "loss": 0.5854,
905
+ "rewards/accuracies": 0.8125,
906
+ "rewards/chosen": -0.8252065777778625,
907
+ "rewards/margins": 0.3438906669616699,
908
+ "rewards/rejected": -1.1690973043441772,
909
+ "step": 295
910
+ },
911
+ {
912
+ "epoch": 0.5988023952095808,
913
+ "grad_norm": 4.522965998928778,
914
+ "learning_rate": 1.2498468799258466e-07,
915
+ "logits/chosen": -0.6931585669517517,
916
+ "logits/rejected": -0.6726911067962646,
917
+ "logps/chosen": -447.56134033203125,
918
+ "logps/rejected": -467.0315856933594,
919
+ "loss": 0.5951,
920
+ "rewards/accuracies": 0.737500011920929,
921
+ "rewards/chosen": -1.0262882709503174,
922
+ "rewards/margins": 0.3147868514060974,
923
+ "rewards/rejected": -1.3410751819610596,
924
+ "step": 300
925
+ }
926
+ ],
927
+ "logging_steps": 5,
928
+ "max_steps": 501,
929
+ "num_input_tokens_seen": 0,
930
+ "num_train_epochs": 1,
931
+ "save_steps": 101,
932
+ "stateful_callbacks": {
933
+ "TrainerControl": {
934
+ "args": {
935
+ "should_epoch_stop": false,
936
+ "should_evaluate": false,
937
+ "should_log": false,
938
+ "should_save": true,
939
+ "should_training_stop": false
940
+ },
941
+ "attributes": {}
942
+ }
943
+ },
944
+ "total_flos": 0.0,
945
+ "train_batch_size": 2,
946
+ "trial_name": null,
947
+ "trial_params": null
948
+ }
checkpoint-303/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d2062bff810c3be97f9dc215093b5dad2b48711e0862036888bf785c22f9a23
3
+ size 7544
checkpoint-303/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-404/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-404/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/GLOBALFS/gznwp_3/qxj/lgzhong/LLaMA-Factory/saves/Qwen2.5-7B-Instruct-SFT-v1.5",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.43.4",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
checkpoint-404/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.43.4"
14
+ }
checkpoint-404/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-404/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97b2b692f3c9c5b5db1e24de775197758a1e5e3fa94054c839fb791e4145033d
3
+ size 4877660776
checkpoint-404/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92ae08845fcd6464d344a06dd1d04e5a3fb685f7b494ed57c0672eead7b34c6c
3
+ size 4932751008
checkpoint-404/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f90b756ff997561d7e9417189be24926d28b180627029e8440dd19e0617e386
3
+ size 4330865200
checkpoint-404/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0099342202fbba8fbec3763e6fa28ea58cd15a074b9b8e294f0a1e2e14ad7983
3
+ size 1089994880
checkpoint-404/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
checkpoint-404/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
+ }
checkpoint-404/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-404/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 2048,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
checkpoint-404/trainer_state.json ADDED
@@ -0,0 +1,1248 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.8063872255489022,
5
+ "eval_steps": 500,
6
+ "global_step": 404,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.001996007984031936,
13
+ "grad_norm": 3.4413226850733536,
14
+ "learning_rate": 5.88235294117647e-09,
15
+ "logits/chosen": -0.2126132994890213,
16
+ "logits/rejected": -0.06049485132098198,
17
+ "logps/chosen": -312.6929931640625,
18
+ "logps/rejected": -303.399658203125,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.00998003992015968,
28
+ "grad_norm": 3.5626484310109503,
29
+ "learning_rate": 2.941176470588235e-08,
30
+ "logits/chosen": -0.15043149888515472,
31
+ "logits/rejected": -0.05884423851966858,
32
+ "logps/chosen": -271.6809387207031,
33
+ "logps/rejected": -308.14019775390625,
34
+ "loss": 0.6932,
35
+ "rewards/accuracies": 0.34375,
36
+ "rewards/chosen": 0.00032658452983014286,
37
+ "rewards/margins": -0.00044720349251292646,
38
+ "rewards/rejected": 0.0007737880805507302,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.01996007984031936,
43
+ "grad_norm": 3.444766226961807,
44
+ "learning_rate": 5.88235294117647e-08,
45
+ "logits/chosen": -0.04885115846991539,
46
+ "logits/rejected": 0.02876092866063118,
47
+ "logps/chosen": -314.44207763671875,
48
+ "logps/rejected": -324.5089111328125,
49
+ "loss": 0.6935,
50
+ "rewards/accuracies": 0.4124999940395355,
51
+ "rewards/chosen": -0.0015638660406693816,
52
+ "rewards/margins": -0.0018882350996136665,
53
+ "rewards/rejected": 0.0003243688843213022,
54
+ "step": 10
55
+ },
56
+ {
57
+ "epoch": 0.029940119760479042,
58
+ "grad_norm": 3.351776759283806,
59
+ "learning_rate": 8.823529411764706e-08,
60
+ "logits/chosen": -0.14645501971244812,
61
+ "logits/rejected": -0.10253484547138214,
62
+ "logps/chosen": -325.3197021484375,
63
+ "logps/rejected": -335.1691589355469,
64
+ "loss": 0.6937,
65
+ "rewards/accuracies": 0.3375000059604645,
66
+ "rewards/chosen": -0.0009325200808234513,
67
+ "rewards/margins": -0.0027469159103929996,
68
+ "rewards/rejected": 0.0018143958877772093,
69
+ "step": 15
70
+ },
71
+ {
72
+ "epoch": 0.03992015968063872,
73
+ "grad_norm": 3.2486760323756765,
74
+ "learning_rate": 1.176470588235294e-07,
75
+ "logits/chosen": -0.17513605952262878,
76
+ "logits/rejected": -0.14125120639801025,
77
+ "logps/chosen": -236.529052734375,
78
+ "logps/rejected": -224.99609375,
79
+ "loss": 0.6932,
80
+ "rewards/accuracies": 0.44999998807907104,
81
+ "rewards/chosen": -0.00048039742978289723,
82
+ "rewards/margins": -0.0017443184042349458,
83
+ "rewards/rejected": 0.0012639210326597095,
84
+ "step": 20
85
+ },
86
+ {
87
+ "epoch": 0.0499001996007984,
88
+ "grad_norm": 3.682895506825886,
89
+ "learning_rate": 1.4705882352941175e-07,
90
+ "logits/chosen": 0.02582230605185032,
91
+ "logits/rejected": -0.026322145015001297,
92
+ "logps/chosen": -276.4084777832031,
93
+ "logps/rejected": -271.5510559082031,
94
+ "loss": 0.6928,
95
+ "rewards/accuracies": 0.5375000238418579,
96
+ "rewards/chosen": -0.00010870690312003717,
97
+ "rewards/margins": -2.2810349037172273e-05,
98
+ "rewards/rejected": -8.589646313339472e-05,
99
+ "step": 25
100
+ },
101
+ {
102
+ "epoch": 0.059880239520958084,
103
+ "grad_norm": 3.521568498969969,
104
+ "learning_rate": 1.764705882352941e-07,
105
+ "logits/chosen": -0.029633093625307083,
106
+ "logits/rejected": 0.017462745308876038,
107
+ "logps/chosen": -241.04345703125,
108
+ "logps/rejected": -254.0708465576172,
109
+ "loss": 0.6929,
110
+ "rewards/accuracies": 0.5,
111
+ "rewards/chosen": 0.001156697398982942,
112
+ "rewards/margins": 0.0012088593794032931,
113
+ "rewards/rejected": -5.2162260544719175e-05,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.06986027944111776,
118
+ "grad_norm": 3.4756100770970852,
119
+ "learning_rate": 2.0588235294117647e-07,
120
+ "logits/chosen": -0.09809896349906921,
121
+ "logits/rejected": -0.12783308327198029,
122
+ "logps/chosen": -316.04541015625,
123
+ "logps/rejected": -303.2275085449219,
124
+ "loss": 0.6926,
125
+ "rewards/accuracies": 0.6499999761581421,
126
+ "rewards/chosen": 0.0019062187056988478,
127
+ "rewards/margins": 0.0034712664783000946,
128
+ "rewards/rejected": -0.0015650471905246377,
129
+ "step": 35
130
+ },
131
+ {
132
+ "epoch": 0.07984031936127745,
133
+ "grad_norm": 3.5251485554920383,
134
+ "learning_rate": 2.352941176470588e-07,
135
+ "logits/chosen": -0.10866469144821167,
136
+ "logits/rejected": -0.08842261880636215,
137
+ "logps/chosen": -300.94866943359375,
138
+ "logps/rejected": -301.57635498046875,
139
+ "loss": 0.6927,
140
+ "rewards/accuracies": 0.48750001192092896,
141
+ "rewards/chosen": 0.0005061564734205604,
142
+ "rewards/margins": 0.0017319575417786837,
143
+ "rewards/rejected": -0.0012258009519428015,
144
+ "step": 40
145
+ },
146
+ {
147
+ "epoch": 0.08982035928143713,
148
+ "grad_norm": 3.562421126179782,
149
+ "learning_rate": 2.6470588235294114e-07,
150
+ "logits/chosen": -0.04412439838051796,
151
+ "logits/rejected": 0.046757772564888,
152
+ "logps/chosen": -276.1053771972656,
153
+ "logps/rejected": -299.3190612792969,
154
+ "loss": 0.692,
155
+ "rewards/accuracies": 0.574999988079071,
156
+ "rewards/chosen": -0.002857887651771307,
157
+ "rewards/margins": 0.0004688422195613384,
158
+ "rewards/rejected": -0.003326730104163289,
159
+ "step": 45
160
+ },
161
+ {
162
+ "epoch": 0.0998003992015968,
163
+ "grad_norm": 3.174201376940309,
164
+ "learning_rate": 2.941176470588235e-07,
165
+ "logits/chosen": -0.08824320137500763,
166
+ "logits/rejected": -0.043245576322078705,
167
+ "logps/chosen": -271.13604736328125,
168
+ "logps/rejected": -272.74102783203125,
169
+ "loss": 0.6914,
170
+ "rewards/accuracies": 0.6000000238418579,
171
+ "rewards/chosen": -0.0016361953457817435,
172
+ "rewards/margins": 0.005965009797364473,
173
+ "rewards/rejected": -0.007601206190884113,
174
+ "step": 50
175
+ },
176
+ {
177
+ "epoch": 0.10978043912175649,
178
+ "grad_norm": 3.3426951285606368,
179
+ "learning_rate": 2.999415172560531e-07,
180
+ "logits/chosen": 0.032454706728458405,
181
+ "logits/rejected": 0.15314094722270966,
182
+ "logps/chosen": -301.4625244140625,
183
+ "logps/rejected": -304.8877258300781,
184
+ "loss": 0.691,
185
+ "rewards/accuracies": 0.612500011920929,
186
+ "rewards/chosen": -0.007659287191927433,
187
+ "rewards/margins": 0.0023522169794887304,
188
+ "rewards/rejected": -0.010011503472924232,
189
+ "step": 55
190
+ },
191
+ {
192
+ "epoch": 0.11976047904191617,
193
+ "grad_norm": 3.2266501701625283,
194
+ "learning_rate": 2.997040092642407e-07,
195
+ "logits/chosen": -0.13825412094593048,
196
+ "logits/rejected": -0.06802596896886826,
197
+ "logps/chosen": -273.85198974609375,
198
+ "logps/rejected": -256.1399841308594,
199
+ "loss": 0.6905,
200
+ "rewards/accuracies": 0.699999988079071,
201
+ "rewards/chosen": -0.0074735768139362335,
202
+ "rewards/margins": 0.005476811900734901,
203
+ "rewards/rejected": -0.012950388714671135,
204
+ "step": 60
205
+ },
206
+ {
207
+ "epoch": 0.12974051896207583,
208
+ "grad_norm": 3.129826931598691,
209
+ "learning_rate": 2.9928410999727467e-07,
210
+ "logits/chosen": -0.03806266561150551,
211
+ "logits/rejected": -0.06114925071597099,
212
+ "logps/chosen": -273.815673828125,
213
+ "logps/rejected": -257.2196350097656,
214
+ "loss": 0.6897,
215
+ "rewards/accuracies": 0.6625000238418579,
216
+ "rewards/chosen": -0.010186719708144665,
217
+ "rewards/margins": 0.00584446731954813,
218
+ "rewards/rejected": -0.016031187027692795,
219
+ "step": 65
220
+ },
221
+ {
222
+ "epoch": 0.13972055888223553,
223
+ "grad_norm": 3.2696148017727764,
224
+ "learning_rate": 2.9868233103773125e-07,
225
+ "logits/chosen": -0.19126296043395996,
226
+ "logits/rejected": -0.1384088099002838,
227
+ "logps/chosen": -289.3074645996094,
228
+ "logps/rejected": -304.941650390625,
229
+ "loss": 0.6901,
230
+ "rewards/accuracies": 0.6499999761581421,
231
+ "rewards/chosen": -0.012994937598705292,
232
+ "rewards/margins": 0.006138815078884363,
233
+ "rewards/rejected": -0.019133752211928368,
234
+ "step": 70
235
+ },
236
+ {
237
+ "epoch": 0.1497005988023952,
238
+ "grad_norm": 3.158441752144902,
239
+ "learning_rate": 2.978994055605757e-07,
240
+ "logits/chosen": -0.3353852927684784,
241
+ "logits/rejected": -0.20957405865192413,
242
+ "logps/chosen": -282.4247131347656,
243
+ "logps/rejected": -297.1376647949219,
244
+ "loss": 0.6887,
245
+ "rewards/accuracies": 0.7749999761581421,
246
+ "rewards/chosen": -0.013628537766635418,
247
+ "rewards/margins": 0.012240052223205566,
248
+ "rewards/rejected": -0.02586858905851841,
249
+ "step": 75
250
+ },
251
+ {
252
+ "epoch": 0.1596806387225549,
253
+ "grad_norm": 3.2922551208958932,
254
+ "learning_rate": 2.9693628743990157e-07,
255
+ "logits/chosen": -0.2210439145565033,
256
+ "logits/rejected": -0.13906380534172058,
257
+ "logps/chosen": -286.2383728027344,
258
+ "logps/rejected": -284.0565490722656,
259
+ "loss": 0.6885,
260
+ "rewards/accuracies": 0.824999988079071,
261
+ "rewards/chosen": -0.012788718566298485,
262
+ "rewards/margins": 0.01518750749528408,
263
+ "rewards/rejected": -0.027976226061582565,
264
+ "step": 80
265
+ },
266
+ {
267
+ "epoch": 0.16966067864271456,
268
+ "grad_norm": 3.143746580193799,
269
+ "learning_rate": 2.9579415008678196e-07,
270
+ "logits/chosen": 0.061027251183986664,
271
+ "logits/rejected": 0.020937766879796982,
272
+ "logps/chosen": -261.85797119140625,
273
+ "logps/rejected": -245.4117889404297,
274
+ "loss": 0.6879,
275
+ "rewards/accuracies": 0.7124999761581421,
276
+ "rewards/chosen": -0.020817553624510765,
277
+ "rewards/margins": 0.01146668754518032,
278
+ "rewards/rejected": -0.032284241169691086,
279
+ "step": 85
280
+ },
281
+ {
282
+ "epoch": 0.17964071856287425,
283
+ "grad_norm": 3.1363791165769634,
284
+ "learning_rate": 2.944743850196487e-07,
285
+ "logits/chosen": -0.18295350670814514,
286
+ "logits/rejected": -0.138901025056839,
287
+ "logps/chosen": -302.30377197265625,
288
+ "logps/rejected": -297.4572448730469,
289
+ "loss": 0.6867,
290
+ "rewards/accuracies": 0.7250000238418579,
291
+ "rewards/chosen": -0.022789286449551582,
292
+ "rewards/margins": 0.014456982724368572,
293
+ "rewards/rejected": -0.03724626824259758,
294
+ "step": 90
295
+ },
296
+ {
297
+ "epoch": 0.18962075848303392,
298
+ "grad_norm": 3.375624228841244,
299
+ "learning_rate": 2.92978600168942e-07,
300
+ "logits/chosen": -0.21953599154949188,
301
+ "logits/rejected": -0.19249823689460754,
302
+ "logps/chosen": -282.0645446777344,
303
+ "logps/rejected": -293.2350158691406,
304
+ "loss": 0.6865,
305
+ "rewards/accuracies": 0.8374999761581421,
306
+ "rewards/chosen": -0.028345201164484024,
307
+ "rewards/margins": 0.015181821770966053,
308
+ "rewards/rejected": -0.0435270220041275,
309
+ "step": 95
310
+ },
311
+ {
312
+ "epoch": 0.1996007984031936,
313
+ "grad_norm": 3.4004680540887673,
314
+ "learning_rate": 2.913086179180945e-07,
315
+ "logits/chosen": -0.26934295892715454,
316
+ "logits/rejected": -0.24918439984321594,
317
+ "logps/chosen": -267.2822570800781,
318
+ "logps/rejected": -273.8163757324219,
319
+ "loss": 0.6847,
320
+ "rewards/accuracies": 0.762499988079071,
321
+ "rewards/chosen": -0.02366602048277855,
322
+ "rewards/margins": 0.018390221521258354,
323
+ "rewards/rejected": -0.042056240141391754,
324
+ "step": 100
325
+ },
326
+ {
327
+ "epoch": 0.20958083832335328,
328
+ "grad_norm": 3.348944145808141,
329
+ "learning_rate": 2.894664728832377e-07,
330
+ "logits/chosen": -0.12691783905029297,
331
+ "logits/rejected": -0.10880570113658905,
332
+ "logps/chosen": -306.7061462402344,
333
+ "logps/rejected": -296.7961120605469,
334
+ "loss": 0.684,
335
+ "rewards/accuracies": 0.8125,
336
+ "rewards/chosen": -0.02831300161778927,
337
+ "rewards/margins": 0.024948222562670708,
338
+ "rewards/rejected": -0.053261227905750275,
339
+ "step": 105
340
+ },
341
+ {
342
+ "epoch": 0.21956087824351297,
343
+ "grad_norm": 3.3068624575557677,
344
+ "learning_rate": 2.8745440943433595e-07,
345
+ "logits/chosen": -0.39724451303482056,
346
+ "logits/rejected": -0.3233721852302551,
347
+ "logps/chosen": -299.71356201171875,
348
+ "logps/rejected": -307.81011962890625,
349
+ "loss": 0.6826,
350
+ "rewards/accuracies": 0.675000011920929,
351
+ "rewards/chosen": -0.037553686648607254,
352
+ "rewards/margins": 0.01620485447347164,
353
+ "rewards/rejected": -0.053758542984724045,
354
+ "step": 110
355
+ },
356
+ {
357
+ "epoch": 0.22954091816367264,
358
+ "grad_norm": 3.5399975333931057,
359
+ "learning_rate": 2.8527487896076705e-07,
360
+ "logits/chosen": -0.2971861958503723,
361
+ "logits/rejected": -0.26923665404319763,
362
+ "logps/chosen": -323.73760986328125,
363
+ "logps/rejected": -317.88238525390625,
364
+ "loss": 0.6812,
365
+ "rewards/accuracies": 0.8125,
366
+ "rewards/chosen": -0.03361167758703232,
367
+ "rewards/margins": 0.025083836168050766,
368
+ "rewards/rejected": -0.058695513755083084,
369
+ "step": 115
370
+ },
371
+ {
372
+ "epoch": 0.23952095808383234,
373
+ "grad_norm": 3.387251098081717,
374
+ "learning_rate": 2.829305368846822e-07,
375
+ "logits/chosen": -0.08930722624063492,
376
+ "logits/rejected": -0.093043752014637,
377
+ "logps/chosen": -298.3551330566406,
378
+ "logps/rejected": -301.565185546875,
379
+ "loss": 0.6807,
380
+ "rewards/accuracies": 0.762499988079071,
381
+ "rewards/chosen": -0.04334830120205879,
382
+ "rewards/margins": 0.02416048012673855,
383
+ "rewards/rejected": -0.06750877946615219,
384
+ "step": 120
385
+ },
386
+ {
387
+ "epoch": 0.249500998003992,
388
+ "grad_norm": 3.458206539528906,
389
+ "learning_rate": 2.8042423942578286e-07,
390
+ "logits/chosen": -0.06799415498971939,
391
+ "logits/rejected": 0.05015769600868225,
392
+ "logps/chosen": -252.72793579101562,
393
+ "logps/rejected": -279.40631103515625,
394
+ "loss": 0.6788,
395
+ "rewards/accuracies": 0.887499988079071,
396
+ "rewards/chosen": -0.0386417880654335,
397
+ "rewards/margins": 0.03730592131614685,
398
+ "rewards/rejected": -0.07594770938158035,
399
+ "step": 125
400
+ },
401
+ {
402
+ "epoch": 0.25948103792415167,
403
+ "grad_norm": 3.4555138461844757,
404
+ "learning_rate": 2.7775904012145714e-07,
405
+ "logits/chosen": -0.24486279487609863,
406
+ "logits/rejected": -0.1943987011909485,
407
+ "logps/chosen": -326.3341369628906,
408
+ "logps/rejected": -326.3017272949219,
409
+ "loss": 0.6792,
410
+ "rewards/accuracies": 0.75,
411
+ "rewards/chosen": -0.04846924915909767,
412
+ "rewards/margins": 0.03331124037504196,
413
+ "rewards/rejected": -0.08178049325942993,
414
+ "step": 130
415
+ },
416
+ {
417
+ "epoch": 0.2694610778443114,
418
+ "grad_norm": 3.4103149118409104,
419
+ "learning_rate": 2.749381861065149e-07,
420
+ "logits/chosen": -0.11615544557571411,
421
+ "logits/rejected": -0.02477203868329525,
422
+ "logps/chosen": -281.5689697265625,
423
+ "logps/rejected": -289.6168518066406,
424
+ "loss": 0.6756,
425
+ "rewards/accuracies": 0.762499988079071,
426
+ "rewards/chosen": -0.04677049443125725,
427
+ "rewards/margins": 0.03843165561556816,
428
+ "rewards/rejected": -0.085202157497406,
429
+ "step": 135
430
+ },
431
+ {
432
+ "epoch": 0.27944111776447106,
433
+ "grad_norm": 3.3294732309430946,
434
+ "learning_rate": 2.719651141570541e-07,
435
+ "logits/chosen": -0.07356293499469757,
436
+ "logits/rejected": 0.01894739270210266,
437
+ "logps/chosen": -295.6517333984375,
438
+ "logps/rejected": -294.22064208984375,
439
+ "loss": 0.6733,
440
+ "rewards/accuracies": 0.800000011920929,
441
+ "rewards/chosen": -0.04726024717092514,
442
+ "rewards/margins": 0.05050128698348999,
443
+ "rewards/rejected": -0.09776153415441513,
444
+ "step": 140
445
+ },
446
+ {
447
+ "epoch": 0.2894211576846307,
448
+ "grad_norm": 3.335787112423438,
449
+ "learning_rate": 2.6884344650327857e-07,
450
+ "logits/chosen": -0.3144836127758026,
451
+ "logits/rejected": -0.2471332997083664,
452
+ "logps/chosen": -275.6163635253906,
453
+ "logps/rejected": -283.7267150878906,
454
+ "loss": 0.6741,
455
+ "rewards/accuracies": 0.7250000238418579,
456
+ "rewards/chosen": -0.06026310846209526,
457
+ "rewards/margins": 0.03206663206219673,
458
+ "rewards/rejected": -0.0923297330737114,
459
+ "step": 145
460
+ },
461
+ {
462
+ "epoch": 0.2994011976047904,
463
+ "grad_norm": 3.351780879830391,
464
+ "learning_rate": 2.6557698641636836e-07,
465
+ "logits/chosen": -0.09479612112045288,
466
+ "logits/rejected": -0.05155174061655998,
467
+ "logps/chosen": -273.46527099609375,
468
+ "logps/rejected": -285.8160095214844,
469
+ "loss": 0.6719,
470
+ "rewards/accuracies": 0.737500011920929,
471
+ "rewards/chosen": -0.057442475110292435,
472
+ "rewards/margins": 0.04023780673742294,
473
+ "rewards/rejected": -0.09768027812242508,
474
+ "step": 150
475
+ },
476
+ {
477
+ "epoch": 0.3093812375249501,
478
+ "grad_norm": 3.3953812787691744,
479
+ "learning_rate": 2.6216971357477977e-07,
480
+ "logits/chosen": -0.20542898774147034,
481
+ "logits/rejected": -0.16760793328285217,
482
+ "logps/chosen": -319.43438720703125,
483
+ "logps/rejected": -337.89678955078125,
484
+ "loss": 0.6677,
485
+ "rewards/accuracies": 0.7124999761581421,
486
+ "rewards/chosen": -0.0877736285328865,
487
+ "rewards/margins": 0.05791449546813965,
488
+ "rewards/rejected": -0.14568811655044556,
489
+ "step": 155
490
+ },
491
+ {
492
+ "epoch": 0.3193612774451098,
493
+ "grad_norm": 3.7295101426966957,
494
+ "learning_rate": 2.5862577921562015e-07,
495
+ "logits/chosen": -0.26064497232437134,
496
+ "logits/rejected": -0.1645033359527588,
497
+ "logps/chosen": -292.02484130859375,
498
+ "logps/rejected": -300.4161376953125,
499
+ "loss": 0.665,
500
+ "rewards/accuracies": 0.75,
501
+ "rewards/chosen": -0.08468987792730331,
502
+ "rewards/margins": 0.062365107238292694,
503
+ "rewards/rejected": -0.1470550000667572,
504
+ "step": 160
505
+ },
506
+ {
507
+ "epoch": 0.32934131736526945,
508
+ "grad_norm": 3.5278102635310775,
509
+ "learning_rate": 2.549495010770048e-07,
510
+ "logits/chosen": -0.2758394777774811,
511
+ "logits/rejected": -0.20927894115447998,
512
+ "logps/chosen": -288.8243713378906,
513
+ "logps/rejected": -291.8514404296875,
514
+ "loss": 0.6655,
515
+ "rewards/accuracies": 0.7749999761581421,
516
+ "rewards/chosen": -0.10788210481405258,
517
+ "rewards/margins": 0.06151789426803589,
518
+ "rewards/rejected": -0.16940000653266907,
519
+ "step": 165
520
+ },
521
+ {
522
+ "epoch": 0.3393213572854291,
523
+ "grad_norm": 3.512512373193113,
524
+ "learning_rate": 2.511453581375585e-07,
525
+ "logits/chosen": -0.39803841710090637,
526
+ "logits/rejected": -0.3213597238063812,
527
+ "logps/chosen": -258.41326904296875,
528
+ "logps/rejected": -263.5000915527344,
529
+ "loss": 0.6625,
530
+ "rewards/accuracies": 0.7250000238418579,
531
+ "rewards/chosen": -0.10974812507629395,
532
+ "rewards/margins": 0.04202640801668167,
533
+ "rewards/rejected": -0.15177452564239502,
534
+ "step": 170
535
+ },
536
+ {
537
+ "epoch": 0.34930139720558884,
538
+ "grad_norm": 3.7824536020137383,
539
+ "learning_rate": 2.4721798515946963e-07,
540
+ "logits/chosen": -0.2360338717699051,
541
+ "logits/rejected": -0.17899933457374573,
542
+ "logps/chosen": -274.8690185546875,
543
+ "logps/rejected": -291.98419189453125,
544
+ "loss": 0.6587,
545
+ "rewards/accuracies": 0.8125,
546
+ "rewards/chosen": -0.1216902956366539,
547
+ "rewards/margins": 0.0732160434126854,
548
+ "rewards/rejected": -0.1949063539505005,
549
+ "step": 175
550
+ },
551
+ {
552
+ "epoch": 0.3592814371257485,
553
+ "grad_norm": 3.6570477679381033,
554
+ "learning_rate": 2.4317216704174655e-07,
555
+ "logits/chosen": -0.2678098976612091,
556
+ "logits/rejected": -0.22654588520526886,
557
+ "logps/chosen": -285.76885986328125,
558
+ "logps/rejected": -300.3975524902344,
559
+ "loss": 0.6575,
560
+ "rewards/accuracies": 0.7749999761581421,
561
+ "rewards/chosen": -0.13574646413326263,
562
+ "rewards/margins": 0.06750482320785522,
563
+ "rewards/rejected": -0.20325128734111786,
564
+ "step": 180
565
+ },
566
+ {
567
+ "epoch": 0.36926147704590817,
568
+ "grad_norm": 3.705774667801494,
569
+ "learning_rate": 2.3901283299055524e-07,
570
+ "logits/chosen": -0.4732998013496399,
571
+ "logits/rejected": -0.39881661534309387,
572
+ "logps/chosen": -321.14984130859375,
573
+ "logps/rejected": -326.15032958984375,
574
+ "loss": 0.6514,
575
+ "rewards/accuracies": 0.800000011920929,
576
+ "rewards/chosen": -0.17002463340759277,
577
+ "rewards/margins": 0.08681143075227737,
578
+ "rewards/rejected": -0.25683605670928955,
579
+ "step": 185
580
+ },
581
+ {
582
+ "epoch": 0.37924151696606784,
583
+ "grad_norm": 3.4125215861302176,
584
+ "learning_rate": 2.3474505051374067e-07,
585
+ "logits/chosen": -0.34785977005958557,
586
+ "logits/rejected": -0.24581901729106903,
587
+ "logps/chosen": -323.81732177734375,
588
+ "logps/rejected": -328.8360900878906,
589
+ "loss": 0.6496,
590
+ "rewards/accuracies": 0.699999988079071,
591
+ "rewards/chosen": -0.20683076977729797,
592
+ "rewards/margins": 0.07259462773799896,
593
+ "rewards/rejected": -0.2794254422187805,
594
+ "step": 190
595
+ },
596
+ {
597
+ "epoch": 0.38922155688622756,
598
+ "grad_norm": 3.6035947439545715,
599
+ "learning_rate": 2.3037401924684947e-07,
600
+ "logits/chosen": -0.2815292775630951,
601
+ "logits/rejected": -0.2620851397514343,
602
+ "logps/chosen": -319.5675048828125,
603
+ "logps/rejected": -332.9228210449219,
604
+ "loss": 0.6501,
605
+ "rewards/accuracies": 0.762499988079071,
606
+ "rewards/chosen": -0.2412305772304535,
607
+ "rewards/margins": 0.09057402610778809,
608
+ "rewards/rejected": -0.3318046033382416,
609
+ "step": 195
610
+ },
611
+ {
612
+ "epoch": 0.3992015968063872,
613
+ "grad_norm": 3.6822468215438624,
614
+ "learning_rate": 2.2590506461817452e-07,
615
+ "logits/chosen": -0.259944349527359,
616
+ "logits/rejected": -0.20725861191749573,
617
+ "logps/chosen": -298.30303955078125,
618
+ "logps/rejected": -305.5474548339844,
619
+ "loss": 0.6419,
620
+ "rewards/accuracies": 0.800000011920929,
621
+ "rewards/chosen": -0.24381069839000702,
622
+ "rewards/margins": 0.11996382474899292,
623
+ "rewards/rejected": -0.36377447843551636,
624
+ "step": 200
625
+ },
626
+ {
627
+ "epoch": 0.4091816367265469,
628
+ "grad_norm": 3.7132773714988927,
629
+ "learning_rate": 2.213436313605413e-07,
630
+ "logits/chosen": -0.5560285449028015,
631
+ "logits/rejected": -0.49163347482681274,
632
+ "logps/chosen": -387.44171142578125,
633
+ "logps/rejected": -402.449462890625,
634
+ "loss": 0.6434,
635
+ "rewards/accuracies": 0.7250000238418579,
636
+ "rewards/chosen": -0.3169836699962616,
637
+ "rewards/margins": 0.07618891447782516,
638
+ "rewards/rejected": -0.39317259192466736,
639
+ "step": 205
640
+ },
641
+ {
642
+ "epoch": 0.41916167664670656,
643
+ "grad_norm": 3.775451248470663,
644
+ "learning_rate": 2.166952768777391e-07,
645
+ "logits/chosen": -0.2941240966320038,
646
+ "logits/rejected": -0.3131045997142792,
647
+ "logps/chosen": -303.090087890625,
648
+ "logps/rejected": -298.85699462890625,
649
+ "loss": 0.6404,
650
+ "rewards/accuracies": 0.75,
651
+ "rewards/chosen": -0.2724608778953552,
652
+ "rewards/margins": 0.1073354110121727,
653
+ "rewards/rejected": -0.3797963261604309,
654
+ "step": 210
655
+ },
656
+ {
657
+ "epoch": 0.4291417165668663,
658
+ "grad_norm": 3.7925188623151422,
659
+ "learning_rate": 2.1196566447368126e-07,
660
+ "logits/chosen": -0.26538053154945374,
661
+ "logits/rejected": -0.25145062804222107,
662
+ "logps/chosen": -334.455078125,
663
+ "logps/rejected": -356.2786865234375,
664
+ "loss": 0.6355,
665
+ "rewards/accuracies": 0.75,
666
+ "rewards/chosen": -0.34816819429397583,
667
+ "rewards/margins": 0.12635044753551483,
668
+ "rewards/rejected": -0.4745185971260071,
669
+ "step": 215
670
+ },
671
+ {
672
+ "epoch": 0.43912175648702595,
673
+ "grad_norm": 3.8981243362393565,
674
+ "learning_rate": 2.0716055645254113e-07,
675
+ "logits/chosen": -0.46777939796447754,
676
+ "logits/rejected": -0.4300519824028015,
677
+ "logps/chosen": -325.1937255859375,
678
+ "logps/rejected": -333.54022216796875,
679
+ "loss": 0.641,
680
+ "rewards/accuracies": 0.737500011920929,
681
+ "rewards/chosen": -0.4105430245399475,
682
+ "rewards/margins": 0.10119415819644928,
683
+ "rewards/rejected": -0.5117372274398804,
684
+ "step": 220
685
+ },
686
+ {
687
+ "epoch": 0.4491017964071856,
688
+ "grad_norm": 3.7392987472200354,
689
+ "learning_rate": 2.0228580709827226e-07,
690
+ "logits/chosen": -0.5368104577064514,
691
+ "logits/rejected": -0.45491117238998413,
692
+ "logps/chosen": -349.7928771972656,
693
+ "logps/rejected": -371.95050048828125,
694
+ "loss": 0.6326,
695
+ "rewards/accuracies": 0.800000011920929,
696
+ "rewards/chosen": -0.3743346631526947,
697
+ "rewards/margins": 0.1426324099302292,
698
+ "rewards/rejected": -0.5169671177864075,
699
+ "step": 225
700
+ },
701
+ {
702
+ "epoch": 0.4590818363273453,
703
+ "grad_norm": 3.6974655152807174,
704
+ "learning_rate": 1.9734735554206537e-07,
705
+ "logits/chosen": -0.31408676505088806,
706
+ "logits/rejected": -0.2642524242401123,
707
+ "logps/chosen": -349.4893798828125,
708
+ "logps/rejected": -369.08990478515625,
709
+ "loss": 0.6238,
710
+ "rewards/accuracies": 0.75,
711
+ "rewards/chosen": -0.47439342737197876,
712
+ "rewards/margins": 0.15798419713974,
713
+ "rewards/rejected": -0.632377564907074,
714
+ "step": 230
715
+ },
716
+ {
717
+ "epoch": 0.469061876247505,
718
+ "grad_norm": 3.9074441662298662,
719
+ "learning_rate": 1.9235121852643148e-07,
720
+ "logits/chosen": -0.4889460504055023,
721
+ "logits/rejected": -0.48752936720848083,
722
+ "logps/chosen": -331.08624267578125,
723
+ "logps/rejected": -348.8202819824219,
724
+ "loss": 0.6259,
725
+ "rewards/accuracies": 0.7875000238418579,
726
+ "rewards/chosen": -0.41649022698402405,
727
+ "rewards/margins": 0.1930549144744873,
728
+ "rewards/rejected": -0.609545111656189,
729
+ "step": 235
730
+ },
731
+ {
732
+ "epoch": 0.47904191616766467,
733
+ "grad_norm": 3.7710978575315757,
734
+ "learning_rate": 1.8730348307472826e-07,
735
+ "logits/chosen": -0.4119279384613037,
736
+ "logits/rejected": -0.444758802652359,
737
+ "logps/chosen": -348.2624206542969,
738
+ "logps/rejected": -369.9598083496094,
739
+ "loss": 0.6249,
740
+ "rewards/accuracies": 0.7250000238418579,
741
+ "rewards/chosen": -0.5225319862365723,
742
+ "rewards/margins": 0.13163016736507416,
743
+ "rewards/rejected": -0.6541622281074524,
744
+ "step": 240
745
+ },
746
+ {
747
+ "epoch": 0.48902195608782434,
748
+ "grad_norm": 4.08348789093204,
749
+ "learning_rate": 1.822102990750595e-07,
750
+ "logits/chosen": -0.5410420298576355,
751
+ "logits/rejected": -0.4581461548805237,
752
+ "logps/chosen": -300.3963317871094,
753
+ "logps/rejected": -326.97357177734375,
754
+ "loss": 0.6205,
755
+ "rewards/accuracies": 0.824999988079071,
756
+ "rewards/chosen": -0.4268406927585602,
757
+ "rewards/margins": 0.17870576679706573,
758
+ "rewards/rejected": -0.6055464744567871,
759
+ "step": 245
760
+ },
761
+ {
762
+ "epoch": 0.499001996007984,
763
+ "grad_norm": 3.8249633059365977,
764
+ "learning_rate": 1.7707787178758402e-07,
765
+ "logits/chosen": -0.5376532673835754,
766
+ "logits/rejected": -0.5166374444961548,
767
+ "logps/chosen": -334.3974609375,
768
+ "logps/rejected": -363.59832763671875,
769
+ "loss": 0.6097,
770
+ "rewards/accuracies": 0.824999988079071,
771
+ "rewards/chosen": -0.5467029809951782,
772
+ "rewards/margins": 0.219395712018013,
773
+ "rewards/rejected": -0.7660986185073853,
774
+ "step": 250
775
+ },
776
+ {
777
+ "epoch": 0.5089820359281437,
778
+ "grad_norm": 4.084608415013939,
779
+ "learning_rate": 1.7191245428436176e-07,
780
+ "logits/chosen": -0.6120297908782959,
781
+ "logits/rejected": -0.5665668249130249,
782
+ "logps/chosen": -388.49237060546875,
783
+ "logps/rejected": -404.17913818359375,
784
+ "loss": 0.6066,
785
+ "rewards/accuracies": 0.8125,
786
+ "rewards/chosen": -0.5541552305221558,
787
+ "rewards/margins": 0.18654166162014008,
788
+ "rewards/rejected": -0.7406969666481018,
789
+ "step": 255
790
+ },
791
+ {
792
+ "epoch": 0.5189620758483033,
793
+ "grad_norm": 4.127013078261958,
794
+ "learning_rate": 1.667203398309488e-07,
795
+ "logits/chosen": -0.602649450302124,
796
+ "logits/rejected": -0.47091540694236755,
797
+ "logps/chosen": -342.5652770996094,
798
+ "logps/rejected": -363.1390380859375,
799
+ "loss": 0.6099,
800
+ "rewards/accuracies": 0.762499988079071,
801
+ "rewards/chosen": -0.5999665260314941,
802
+ "rewards/margins": 0.22458717226982117,
803
+ "rewards/rejected": -0.8245537877082825,
804
+ "step": 260
805
+ },
806
+ {
807
+ "epoch": 0.5289421157684631,
808
+ "grad_norm": 4.181662944251744,
809
+ "learning_rate": 1.6150785421902278e-07,
810
+ "logits/chosen": -0.49136123061180115,
811
+ "logits/rejected": -0.4355231821537018,
812
+ "logps/chosen": -355.0814514160156,
813
+ "logps/rejected": -400.48486328125,
814
+ "loss": 0.6027,
815
+ "rewards/accuracies": 0.762499988079071,
816
+ "rewards/chosen": -0.6992485523223877,
817
+ "rewards/margins": 0.2647705674171448,
818
+ "rewards/rejected": -0.9640190005302429,
819
+ "step": 265
820
+ },
821
+ {
822
+ "epoch": 0.5389221556886228,
823
+ "grad_norm": 4.187328944312369,
824
+ "learning_rate": 1.5628134805937993e-07,
825
+ "logits/chosen": -0.6901322603225708,
826
+ "logits/rejected": -0.7155795693397522,
827
+ "logps/chosen": -338.4058532714844,
828
+ "logps/rejected": -357.05145263671875,
829
+ "loss": 0.6044,
830
+ "rewards/accuracies": 0.800000011920929,
831
+ "rewards/chosen": -0.6499531865119934,
832
+ "rewards/margins": 0.2078942060470581,
833
+ "rewards/rejected": -0.8578473329544067,
834
+ "step": 270
835
+ },
836
+ {
837
+ "epoch": 0.5489021956087824,
838
+ "grad_norm": 4.480820141822546,
839
+ "learning_rate": 1.5104718904469424e-07,
840
+ "logits/chosen": -0.49210062623023987,
841
+ "logits/rejected": -0.4995419979095459,
842
+ "logps/chosen": -362.78936767578125,
843
+ "logps/rejected": -376.6024475097656,
844
+ "loss": 0.6022,
845
+ "rewards/accuracies": 0.7749999761581421,
846
+ "rewards/chosen": -0.684400200843811,
847
+ "rewards/margins": 0.22897310554981232,
848
+ "rewards/rejected": -0.9133733510971069,
849
+ "step": 275
850
+ },
851
+ {
852
+ "epoch": 0.5588822355289421,
853
+ "grad_norm": 4.335560690928003,
854
+ "learning_rate": 1.458117541914647e-07,
855
+ "logits/chosen": -0.6205674409866333,
856
+ "logits/rejected": -0.5415416955947876,
857
+ "logps/chosen": -363.15484619140625,
858
+ "logps/rejected": -380.423828125,
859
+ "loss": 0.601,
860
+ "rewards/accuracies": 0.762499988079071,
861
+ "rewards/chosen": -0.7319628000259399,
862
+ "rewards/margins": 0.22972945868968964,
863
+ "rewards/rejected": -0.9616923332214355,
864
+ "step": 280
865
+ },
866
+ {
867
+ "epoch": 0.5688622754491018,
868
+ "grad_norm": 4.236266469806635,
869
+ "learning_rate": 1.4058142207060298e-07,
870
+ "logits/chosen": -0.5227392315864563,
871
+ "logits/rejected": -0.44109734892845154,
872
+ "logps/chosen": -350.81268310546875,
873
+ "logps/rejected": -387.339111328125,
874
+ "loss": 0.599,
875
+ "rewards/accuracies": 0.8125,
876
+ "rewards/chosen": -0.7962437272071838,
877
+ "rewards/margins": 0.2677839994430542,
878
+ "rewards/rejected": -1.0640277862548828,
879
+ "step": 285
880
+ },
881
+ {
882
+ "epoch": 0.5788423153692615,
883
+ "grad_norm": 4.1859368563558546,
884
+ "learning_rate": 1.353625650361276e-07,
885
+ "logits/chosen": -0.4567599296569824,
886
+ "logits/rejected": -0.37081751227378845,
887
+ "logps/chosen": -292.90582275390625,
888
+ "logps/rejected": -351.08428955078125,
889
+ "loss": 0.5976,
890
+ "rewards/accuracies": 0.800000011920929,
891
+ "rewards/chosen": -0.7117597460746765,
892
+ "rewards/margins": 0.23347418010234833,
893
+ "rewards/rejected": -0.9452340006828308,
894
+ "step": 290
895
+ },
896
+ {
897
+ "epoch": 0.5888223552894212,
898
+ "grad_norm": 4.963202872238042,
899
+ "learning_rate": 1.301615414614316e-07,
900
+ "logits/chosen": -0.5814245939254761,
901
+ "logits/rejected": -0.477074533700943,
902
+ "logps/chosen": -359.9764404296875,
903
+ "logps/rejected": -408.649169921875,
904
+ "loss": 0.5854,
905
+ "rewards/accuracies": 0.8125,
906
+ "rewards/chosen": -0.8252065777778625,
907
+ "rewards/margins": 0.3438906669616699,
908
+ "rewards/rejected": -1.1690973043441772,
909
+ "step": 295
910
+ },
911
+ {
912
+ "epoch": 0.5988023952095808,
913
+ "grad_norm": 4.522965998928778,
914
+ "learning_rate": 1.2498468799258466e-07,
915
+ "logits/chosen": -0.6931585669517517,
916
+ "logits/rejected": -0.6726911067962646,
917
+ "logps/chosen": -447.56134033203125,
918
+ "logps/rejected": -467.0315856933594,
919
+ "loss": 0.5951,
920
+ "rewards/accuracies": 0.737500011920929,
921
+ "rewards/chosen": -1.0262882709503174,
922
+ "rewards/margins": 0.3147868514060974,
923
+ "rewards/rejected": -1.3410751819610596,
924
+ "step": 300
925
+ },
926
+ {
927
+ "epoch": 0.6087824351297405,
928
+ "grad_norm": 4.334372580127937,
929
+ "learning_rate": 1.1983831182810532e-07,
930
+ "logits/chosen": -0.7098149657249451,
931
+ "logits/rejected": -0.6338291764259338,
932
+ "logps/chosen": -370.42584228515625,
933
+ "logps/rejected": -416.33673095703125,
934
+ "loss": 0.5741,
935
+ "rewards/accuracies": 0.7250000238418579,
936
+ "rewards/chosen": -0.9695831537246704,
937
+ "rewards/margins": 0.28274181485176086,
938
+ "rewards/rejected": -1.2523248195648193,
939
+ "step": 305
940
+ },
941
+ {
942
+ "epoch": 0.6187624750499002,
943
+ "grad_norm": 4.645155562753339,
944
+ "learning_rate": 1.147286830346115e-07,
945
+ "logits/chosen": -0.7523954510688782,
946
+ "logits/rejected": -0.6753584146499634,
947
+ "logps/chosen": -415.63629150390625,
948
+ "logps/rejected": -454.6825256347656,
949
+ "loss": 0.5819,
950
+ "rewards/accuracies": 0.7749999761581421,
951
+ "rewards/chosen": -1.1591014862060547,
952
+ "rewards/margins": 0.3371506929397583,
953
+ "rewards/rejected": -1.496252179145813,
954
+ "step": 310
955
+ },
956
+ {
957
+ "epoch": 0.6287425149700598,
958
+ "grad_norm": 4.669200509826971,
959
+ "learning_rate": 1.0966202690771015e-07,
960
+ "logits/chosen": -0.668272852897644,
961
+ "logits/rejected": -0.5711073875427246,
962
+ "logps/chosen": -412.66424560546875,
963
+ "logps/rejected": -463.01971435546875,
964
+ "loss": 0.5802,
965
+ "rewards/accuracies": 0.800000011920929,
966
+ "rewards/chosen": -1.1411970853805542,
967
+ "rewards/margins": 0.34684187173843384,
968
+ "rewards/rejected": -1.4880390167236328,
969
+ "step": 315
970
+ },
971
+ {
972
+ "epoch": 0.6387225548902196,
973
+ "grad_norm": 4.60028355094582,
974
+ "learning_rate": 1.0464451638743333e-07,
975
+ "logits/chosen": -0.720443606376648,
976
+ "logits/rejected": -0.633614182472229,
977
+ "logps/chosen": -381.11358642578125,
978
+ "logps/rejected": -422.4686584472656,
979
+ "loss": 0.5803,
980
+ "rewards/accuracies": 0.824999988079071,
981
+ "rewards/chosen": -1.1198880672454834,
982
+ "rewards/margins": 0.3332558274269104,
983
+ "rewards/rejected": -1.4531439542770386,
984
+ "step": 320
985
+ },
986
+ {
987
+ "epoch": 0.6487025948103793,
988
+ "grad_norm": 4.7117497209054315,
989
+ "learning_rate": 9.968226453746175e-08,
990
+ "logits/chosen": -0.6728391647338867,
991
+ "logits/rejected": -0.6361491084098816,
992
+ "logps/chosen": -388.78375244140625,
993
+ "logps/rejected": -422.4482421875,
994
+ "loss": 0.5744,
995
+ "rewards/accuracies": 0.6875,
996
+ "rewards/chosen": -1.175586462020874,
997
+ "rewards/margins": 0.2871216833591461,
998
+ "rewards/rejected": -1.4627082347869873,
999
+ "step": 325
1000
+ },
1001
+ {
1002
+ "epoch": 0.6586826347305389,
1003
+ "grad_norm": 4.348227355176717,
1004
+ "learning_rate": 9.478131709729831e-08,
1005
+ "logits/chosen": -0.7032121419906616,
1006
+ "logits/rejected": -0.6237956285476685,
1007
+ "logps/chosen": -377.9942321777344,
1008
+ "logps/rejected": -404.4933166503906,
1009
+ "loss": 0.5795,
1010
+ "rewards/accuracies": 0.75,
1011
+ "rewards/chosen": -1.1823105812072754,
1012
+ "rewards/margins": 0.23070795834064484,
1013
+ "rewards/rejected": -1.4130184650421143,
1014
+ "step": 330
1015
+ },
1016
+ {
1017
+ "epoch": 0.6686626746506986,
1018
+ "grad_norm": 4.567093235085812,
1019
+ "learning_rate": 8.994764511646577e-08,
1020
+ "logits/chosen": -0.696010410785675,
1021
+ "logits/rejected": -0.6754131317138672,
1022
+ "logps/chosen": -400.3501892089844,
1023
+ "logps/rejected": -406.4004821777344,
1024
+ "loss": 0.5887,
1025
+ "rewards/accuracies": 0.75,
1026
+ "rewards/chosen": -1.2299916744232178,
1027
+ "rewards/margins": 0.2420133799314499,
1028
+ "rewards/rejected": -1.4720051288604736,
1029
+ "step": 335
1030
+ },
1031
+ {
1032
+ "epoch": 0.6786427145708582,
1033
+ "grad_norm": 5.005664260886447,
1034
+ "learning_rate": 8.518713767970262e-08,
1035
+ "logits/chosen": -0.7765355706214905,
1036
+ "logits/rejected": -0.7291234135627747,
1037
+ "logps/chosen": -440.3502502441406,
1038
+ "logps/rejected": -463.7428283691406,
1039
+ "loss": 0.5654,
1040
+ "rewards/accuracies": 0.699999988079071,
1041
+ "rewards/chosen": -1.2532676458358765,
1042
+ "rewards/margins": 0.2593846023082733,
1043
+ "rewards/rejected": -1.5126522779464722,
1044
+ "step": 340
1045
+ },
1046
+ {
1047
+ "epoch": 0.688622754491018,
1048
+ "grad_norm": 5.103097065108184,
1049
+ "learning_rate": 8.050559473202076e-08,
1050
+ "logits/chosen": -0.5867692232131958,
1051
+ "logits/rejected": -0.5882567167282104,
1052
+ "logps/chosen": -486.0328063964844,
1053
+ "logps/rejected": -492.4873046875,
1054
+ "loss": 0.5909,
1055
+ "rewards/accuracies": 0.7124999761581421,
1056
+ "rewards/chosen": -1.4522783756256104,
1057
+ "rewards/margins": 0.20934677124023438,
1058
+ "rewards/rejected": -1.6616249084472656,
1059
+ "step": 345
1060
+ },
1061
+ {
1062
+ "epoch": 0.6986027944111777,
1063
+ "grad_norm": 4.912813992114836,
1064
+ "learning_rate": 7.590872001236538e-08,
1065
+ "logits/chosen": -0.7335643768310547,
1066
+ "logits/rejected": -0.6834427714347839,
1067
+ "logps/chosen": -402.9820861816406,
1068
+ "logps/rejected": -425.92156982421875,
1069
+ "loss": 0.5716,
1070
+ "rewards/accuracies": 0.7875000238418579,
1071
+ "rewards/chosen": -1.3429086208343506,
1072
+ "rewards/margins": 0.27442997694015503,
1073
+ "rewards/rejected": -1.6173385381698608,
1074
+ "step": 350
1075
+ },
1076
+ {
1077
+ "epoch": 0.7085828343313373,
1078
+ "grad_norm": 5.102923641063365,
1079
+ "learning_rate": 7.140211410448815e-08,
1080
+ "logits/chosen": -0.721831202507019,
1081
+ "logits/rejected": -0.61592036485672,
1082
+ "logps/chosen": -370.572265625,
1083
+ "logps/rejected": -414.7581481933594,
1084
+ "loss": 0.5721,
1085
+ "rewards/accuracies": 0.7124999761581421,
1086
+ "rewards/chosen": -1.2241812944412231,
1087
+ "rewards/margins": 0.3305676281452179,
1088
+ "rewards/rejected": -1.554748773574829,
1089
+ "step": 355
1090
+ },
1091
+ {
1092
+ "epoch": 0.718562874251497,
1093
+ "grad_norm": 5.015860169175414,
1094
+ "learning_rate": 6.69912676134984e-08,
1095
+ "logits/chosen": -0.7092261910438538,
1096
+ "logits/rejected": -0.6547318696975708,
1097
+ "logps/chosen": -440.85711669921875,
1098
+ "logps/rejected": -457.0215759277344,
1099
+ "loss": 0.5707,
1100
+ "rewards/accuracies": 0.7250000238418579,
1101
+ "rewards/chosen": -1.397318720817566,
1102
+ "rewards/margins": 0.24624857306480408,
1103
+ "rewards/rejected": -1.6435673236846924,
1104
+ "step": 360
1105
+ },
1106
+ {
1107
+ "epoch": 0.7285429141716567,
1108
+ "grad_norm": 4.774816172341646,
1109
+ "learning_rate": 6.26815544764066e-08,
1110
+ "logits/chosen": -0.8451409339904785,
1111
+ "logits/rejected": -0.7582667469978333,
1112
+ "logps/chosen": -390.70233154296875,
1113
+ "logps/rejected": -433.895263671875,
1114
+ "loss": 0.5661,
1115
+ "rewards/accuracies": 0.675000011920929,
1116
+ "rewards/chosen": -1.2642087936401367,
1117
+ "rewards/margins": 0.3393135070800781,
1118
+ "rewards/rejected": -1.6035223007202148,
1119
+ "step": 365
1120
+ },
1121
+ {
1122
+ "epoch": 0.7385229540918163,
1123
+ "grad_norm": 4.965964761489328,
1124
+ "learning_rate": 5.847822541480985e-08,
1125
+ "logits/chosen": -0.6884382963180542,
1126
+ "logits/rejected": -0.6832146644592285,
1127
+ "logps/chosen": -505.1039123535156,
1128
+ "logps/rejected": -543.939697265625,
1129
+ "loss": 0.5737,
1130
+ "rewards/accuracies": 0.7250000238418579,
1131
+ "rewards/chosen": -1.5997720956802368,
1132
+ "rewards/margins": 0.34007787704467773,
1133
+ "rewards/rejected": -1.939850091934204,
1134
+ "step": 370
1135
+ },
1136
+ {
1137
+ "epoch": 0.7485029940119761,
1138
+ "grad_norm": 5.257593216933955,
1139
+ "learning_rate": 5.4386401537696535e-08,
1140
+ "logits/chosen": -0.654364287853241,
1141
+ "logits/rejected": -0.618787407875061,
1142
+ "logps/chosen": -424.26031494140625,
1143
+ "logps/rejected": -464.0692443847656,
1144
+ "loss": 0.5656,
1145
+ "rewards/accuracies": 0.75,
1146
+ "rewards/chosen": -1.4769487380981445,
1147
+ "rewards/margins": 0.3530046045780182,
1148
+ "rewards/rejected": -1.8299534320831299,
1149
+ "step": 375
1150
+ },
1151
+ {
1152
+ "epoch": 0.7584830339321357,
1153
+ "grad_norm": 5.018164548165559,
1154
+ "learning_rate": 5.0411068102163756e-08,
1155
+ "logits/chosen": -0.7129963636398315,
1156
+ "logits/rejected": -0.6934917569160461,
1157
+ "logps/chosen": -338.116943359375,
1158
+ "logps/rejected": -385.53192138671875,
1159
+ "loss": 0.5812,
1160
+ "rewards/accuracies": 0.7875000238418579,
1161
+ "rewards/chosen": -1.1324220895767212,
1162
+ "rewards/margins": 0.3832218050956726,
1163
+ "rewards/rejected": -1.515643835067749,
1164
+ "step": 380
1165
+ },
1166
+ {
1167
+ "epoch": 0.7684630738522954,
1168
+ "grad_norm": 4.842940867729204,
1169
+ "learning_rate": 4.6557068439649526e-08,
1170
+ "logits/chosen": -0.6886343955993652,
1171
+ "logits/rejected": -0.6565831303596497,
1172
+ "logps/chosen": -475.0184631347656,
1173
+ "logps/rejected": -506.1280212402344,
1174
+ "loss": 0.5773,
1175
+ "rewards/accuracies": 0.762499988079071,
1176
+ "rewards/chosen": -1.5225403308868408,
1177
+ "rewards/margins": 0.3815816044807434,
1178
+ "rewards/rejected": -1.90412175655365,
1179
+ "step": 385
1180
+ },
1181
+ {
1182
+ "epoch": 0.7784431137724551,
1183
+ "grad_norm": 4.981718868828084,
1184
+ "learning_rate": 4.2829098055079526e-08,
1185
+ "logits/chosen": -0.8457885980606079,
1186
+ "logits/rejected": -0.8267861604690552,
1187
+ "logps/chosen": -402.27032470703125,
1188
+ "logps/rejected": -441.7845153808594,
1189
+ "loss": 0.5706,
1190
+ "rewards/accuracies": 0.7250000238418579,
1191
+ "rewards/chosen": -1.30136239528656,
1192
+ "rewards/margins": 0.37314456701278687,
1193
+ "rewards/rejected": -1.6745071411132812,
1194
+ "step": 390
1195
+ },
1196
+ {
1197
+ "epoch": 0.7884231536926147,
1198
+ "grad_norm": 4.76229443747579,
1199
+ "learning_rate": 3.923169890611741e-08,
1200
+ "logits/chosen": -0.7744909524917603,
1201
+ "logits/rejected": -0.7276748418807983,
1202
+ "logps/chosen": -407.0968322753906,
1203
+ "logps/rejected": -451.7494201660156,
1204
+ "loss": 0.5605,
1205
+ "rewards/accuracies": 0.762499988079071,
1206
+ "rewards/chosen": -1.4497464895248413,
1207
+ "rewards/margins": 0.40129631757736206,
1208
+ "rewards/rejected": -1.8510427474975586,
1209
+ "step": 395
1210
+ },
1211
+ {
1212
+ "epoch": 0.7984031936127745,
1213
+ "grad_norm": 4.572364850180581,
1214
+ "learning_rate": 3.576925386948951e-08,
1215
+ "logits/chosen": -0.9308286905288696,
1216
+ "logits/rejected": -0.8524009585380554,
1217
+ "logps/chosen": -406.74578857421875,
1218
+ "logps/rejected": -458.7312927246094,
1219
+ "loss": 0.5563,
1220
+ "rewards/accuracies": 0.762499988079071,
1221
+ "rewards/chosen": -1.3046013116836548,
1222
+ "rewards/margins": 0.4329892098903656,
1223
+ "rewards/rejected": -1.7375905513763428,
1224
+ "step": 400
1225
+ }
1226
+ ],
1227
+ "logging_steps": 5,
1228
+ "max_steps": 501,
1229
+ "num_input_tokens_seen": 0,
1230
+ "num_train_epochs": 1,
1231
+ "save_steps": 101,
1232
+ "stateful_callbacks": {
1233
+ "TrainerControl": {
1234
+ "args": {
1235
+ "should_epoch_stop": false,
1236
+ "should_evaluate": false,
1237
+ "should_log": false,
1238
+ "should_save": true,
1239
+ "should_training_stop": false
1240
+ },
1241
+ "attributes": {}
1242
+ }
1243
+ },
1244
+ "total_flos": 0.0,
1245
+ "train_batch_size": 2,
1246
+ "trial_name": null,
1247
+ "trial_params": null
1248
+ }
checkpoint-404/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d2062bff810c3be97f9dc215093b5dad2b48711e0862036888bf785c22f9a23
3
+ size 7544
checkpoint-404/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-501/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-501/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/GLOBALFS/gznwp_3/qxj/lgzhong/LLaMA-Factory/saves/Qwen2.5-7B-Instruct-SFT-v1.5",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.43.4",
25
+ "use_cache": false,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
checkpoint-501/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.43.4"
14
+ }
checkpoint-501/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-501/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a225753e92dd848195937eca7428c9f9ceae13cc2c20f0f2c5784fe411567050
3
+ size 4877660776
checkpoint-501/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f834bc79ecfcdb1030896071513fe7f21efd2ab60c7f3b3f5f5fbbff9d6d2151
3
+ size 4932751008
checkpoint-501/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfac9b108ed2fb3816971f8bb68c3a3efba0a9667d172fdfaff1773c447a6a92
3
+ size 4330865200
checkpoint-501/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65069d22b1bc30af9cdb9d286b713ba0ba4168b2ec1279ab1f3cbd8f288ad8fa
3
+ size 1089994880
checkpoint-501/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15231233024
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
344
+ "model.norm.weight": "model-00003-of-00004.safetensors"
345
+ }
346
+ }
checkpoint-501/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
+ }
checkpoint-501/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-501/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 2048,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
checkpoint-501/trainer_state.json ADDED
@@ -0,0 +1,1548 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 501,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.001996007984031936,
13
+ "grad_norm": 3.4413226850733536,
14
+ "learning_rate": 5.88235294117647e-09,
15
+ "logits/chosen": -0.2126132994890213,
16
+ "logits/rejected": -0.06049485132098198,
17
+ "logps/chosen": -312.6929931640625,
18
+ "logps/rejected": -303.399658203125,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.00998003992015968,
28
+ "grad_norm": 3.5626484310109503,
29
+ "learning_rate": 2.941176470588235e-08,
30
+ "logits/chosen": -0.15043149888515472,
31
+ "logits/rejected": -0.05884423851966858,
32
+ "logps/chosen": -271.6809387207031,
33
+ "logps/rejected": -308.14019775390625,
34
+ "loss": 0.6932,
35
+ "rewards/accuracies": 0.34375,
36
+ "rewards/chosen": 0.00032658452983014286,
37
+ "rewards/margins": -0.00044720349251292646,
38
+ "rewards/rejected": 0.0007737880805507302,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.01996007984031936,
43
+ "grad_norm": 3.444766226961807,
44
+ "learning_rate": 5.88235294117647e-08,
45
+ "logits/chosen": -0.04885115846991539,
46
+ "logits/rejected": 0.02876092866063118,
47
+ "logps/chosen": -314.44207763671875,
48
+ "logps/rejected": -324.5089111328125,
49
+ "loss": 0.6935,
50
+ "rewards/accuracies": 0.4124999940395355,
51
+ "rewards/chosen": -0.0015638660406693816,
52
+ "rewards/margins": -0.0018882350996136665,
53
+ "rewards/rejected": 0.0003243688843213022,
54
+ "step": 10
55
+ },
56
+ {
57
+ "epoch": 0.029940119760479042,
58
+ "grad_norm": 3.351776759283806,
59
+ "learning_rate": 8.823529411764706e-08,
60
+ "logits/chosen": -0.14645501971244812,
61
+ "logits/rejected": -0.10253484547138214,
62
+ "logps/chosen": -325.3197021484375,
63
+ "logps/rejected": -335.1691589355469,
64
+ "loss": 0.6937,
65
+ "rewards/accuracies": 0.3375000059604645,
66
+ "rewards/chosen": -0.0009325200808234513,
67
+ "rewards/margins": -0.0027469159103929996,
68
+ "rewards/rejected": 0.0018143958877772093,
69
+ "step": 15
70
+ },
71
+ {
72
+ "epoch": 0.03992015968063872,
73
+ "grad_norm": 3.2486760323756765,
74
+ "learning_rate": 1.176470588235294e-07,
75
+ "logits/chosen": -0.17513605952262878,
76
+ "logits/rejected": -0.14125120639801025,
77
+ "logps/chosen": -236.529052734375,
78
+ "logps/rejected": -224.99609375,
79
+ "loss": 0.6932,
80
+ "rewards/accuracies": 0.44999998807907104,
81
+ "rewards/chosen": -0.00048039742978289723,
82
+ "rewards/margins": -0.0017443184042349458,
83
+ "rewards/rejected": 0.0012639210326597095,
84
+ "step": 20
85
+ },
86
+ {
87
+ "epoch": 0.0499001996007984,
88
+ "grad_norm": 3.682895506825886,
89
+ "learning_rate": 1.4705882352941175e-07,
90
+ "logits/chosen": 0.02582230605185032,
91
+ "logits/rejected": -0.026322145015001297,
92
+ "logps/chosen": -276.4084777832031,
93
+ "logps/rejected": -271.5510559082031,
94
+ "loss": 0.6928,
95
+ "rewards/accuracies": 0.5375000238418579,
96
+ "rewards/chosen": -0.00010870690312003717,
97
+ "rewards/margins": -2.2810349037172273e-05,
98
+ "rewards/rejected": -8.589646313339472e-05,
99
+ "step": 25
100
+ },
101
+ {
102
+ "epoch": 0.059880239520958084,
103
+ "grad_norm": 3.521568498969969,
104
+ "learning_rate": 1.764705882352941e-07,
105
+ "logits/chosen": -0.029633093625307083,
106
+ "logits/rejected": 0.017462745308876038,
107
+ "logps/chosen": -241.04345703125,
108
+ "logps/rejected": -254.0708465576172,
109
+ "loss": 0.6929,
110
+ "rewards/accuracies": 0.5,
111
+ "rewards/chosen": 0.001156697398982942,
112
+ "rewards/margins": 0.0012088593794032931,
113
+ "rewards/rejected": -5.2162260544719175e-05,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.06986027944111776,
118
+ "grad_norm": 3.4756100770970852,
119
+ "learning_rate": 2.0588235294117647e-07,
120
+ "logits/chosen": -0.09809896349906921,
121
+ "logits/rejected": -0.12783308327198029,
122
+ "logps/chosen": -316.04541015625,
123
+ "logps/rejected": -303.2275085449219,
124
+ "loss": 0.6926,
125
+ "rewards/accuracies": 0.6499999761581421,
126
+ "rewards/chosen": 0.0019062187056988478,
127
+ "rewards/margins": 0.0034712664783000946,
128
+ "rewards/rejected": -0.0015650471905246377,
129
+ "step": 35
130
+ },
131
+ {
132
+ "epoch": 0.07984031936127745,
133
+ "grad_norm": 3.5251485554920383,
134
+ "learning_rate": 2.352941176470588e-07,
135
+ "logits/chosen": -0.10866469144821167,
136
+ "logits/rejected": -0.08842261880636215,
137
+ "logps/chosen": -300.94866943359375,
138
+ "logps/rejected": -301.57635498046875,
139
+ "loss": 0.6927,
140
+ "rewards/accuracies": 0.48750001192092896,
141
+ "rewards/chosen": 0.0005061564734205604,
142
+ "rewards/margins": 0.0017319575417786837,
143
+ "rewards/rejected": -0.0012258009519428015,
144
+ "step": 40
145
+ },
146
+ {
147
+ "epoch": 0.08982035928143713,
148
+ "grad_norm": 3.562421126179782,
149
+ "learning_rate": 2.6470588235294114e-07,
150
+ "logits/chosen": -0.04412439838051796,
151
+ "logits/rejected": 0.046757772564888,
152
+ "logps/chosen": -276.1053771972656,
153
+ "logps/rejected": -299.3190612792969,
154
+ "loss": 0.692,
155
+ "rewards/accuracies": 0.574999988079071,
156
+ "rewards/chosen": -0.002857887651771307,
157
+ "rewards/margins": 0.0004688422195613384,
158
+ "rewards/rejected": -0.003326730104163289,
159
+ "step": 45
160
+ },
161
+ {
162
+ "epoch": 0.0998003992015968,
163
+ "grad_norm": 3.174201376940309,
164
+ "learning_rate": 2.941176470588235e-07,
165
+ "logits/chosen": -0.08824320137500763,
166
+ "logits/rejected": -0.043245576322078705,
167
+ "logps/chosen": -271.13604736328125,
168
+ "logps/rejected": -272.74102783203125,
169
+ "loss": 0.6914,
170
+ "rewards/accuracies": 0.6000000238418579,
171
+ "rewards/chosen": -0.0016361953457817435,
172
+ "rewards/margins": 0.005965009797364473,
173
+ "rewards/rejected": -0.007601206190884113,
174
+ "step": 50
175
+ },
176
+ {
177
+ "epoch": 0.10978043912175649,
178
+ "grad_norm": 3.3426951285606368,
179
+ "learning_rate": 2.999415172560531e-07,
180
+ "logits/chosen": 0.032454706728458405,
181
+ "logits/rejected": 0.15314094722270966,
182
+ "logps/chosen": -301.4625244140625,
183
+ "logps/rejected": -304.8877258300781,
184
+ "loss": 0.691,
185
+ "rewards/accuracies": 0.612500011920929,
186
+ "rewards/chosen": -0.007659287191927433,
187
+ "rewards/margins": 0.0023522169794887304,
188
+ "rewards/rejected": -0.010011503472924232,
189
+ "step": 55
190
+ },
191
+ {
192
+ "epoch": 0.11976047904191617,
193
+ "grad_norm": 3.2266501701625283,
194
+ "learning_rate": 2.997040092642407e-07,
195
+ "logits/chosen": -0.13825412094593048,
196
+ "logits/rejected": -0.06802596896886826,
197
+ "logps/chosen": -273.85198974609375,
198
+ "logps/rejected": -256.1399841308594,
199
+ "loss": 0.6905,
200
+ "rewards/accuracies": 0.699999988079071,
201
+ "rewards/chosen": -0.0074735768139362335,
202
+ "rewards/margins": 0.005476811900734901,
203
+ "rewards/rejected": -0.012950388714671135,
204
+ "step": 60
205
+ },
206
+ {
207
+ "epoch": 0.12974051896207583,
208
+ "grad_norm": 3.129826931598691,
209
+ "learning_rate": 2.9928410999727467e-07,
210
+ "logits/chosen": -0.03806266561150551,
211
+ "logits/rejected": -0.06114925071597099,
212
+ "logps/chosen": -273.815673828125,
213
+ "logps/rejected": -257.2196350097656,
214
+ "loss": 0.6897,
215
+ "rewards/accuracies": 0.6625000238418579,
216
+ "rewards/chosen": -0.010186719708144665,
217
+ "rewards/margins": 0.00584446731954813,
218
+ "rewards/rejected": -0.016031187027692795,
219
+ "step": 65
220
+ },
221
+ {
222
+ "epoch": 0.13972055888223553,
223
+ "grad_norm": 3.2696148017727764,
224
+ "learning_rate": 2.9868233103773125e-07,
225
+ "logits/chosen": -0.19126296043395996,
226
+ "logits/rejected": -0.1384088099002838,
227
+ "logps/chosen": -289.3074645996094,
228
+ "logps/rejected": -304.941650390625,
229
+ "loss": 0.6901,
230
+ "rewards/accuracies": 0.6499999761581421,
231
+ "rewards/chosen": -0.012994937598705292,
232
+ "rewards/margins": 0.006138815078884363,
233
+ "rewards/rejected": -0.019133752211928368,
234
+ "step": 70
235
+ },
236
+ {
237
+ "epoch": 0.1497005988023952,
238
+ "grad_norm": 3.158441752144902,
239
+ "learning_rate": 2.978994055605757e-07,
240
+ "logits/chosen": -0.3353852927684784,
241
+ "logits/rejected": -0.20957405865192413,
242
+ "logps/chosen": -282.4247131347656,
243
+ "logps/rejected": -297.1376647949219,
244
+ "loss": 0.6887,
245
+ "rewards/accuracies": 0.7749999761581421,
246
+ "rewards/chosen": -0.013628537766635418,
247
+ "rewards/margins": 0.012240052223205566,
248
+ "rewards/rejected": -0.02586858905851841,
249
+ "step": 75
250
+ },
251
+ {
252
+ "epoch": 0.1596806387225549,
253
+ "grad_norm": 3.2922551208958932,
254
+ "learning_rate": 2.9693628743990157e-07,
255
+ "logits/chosen": -0.2210439145565033,
256
+ "logits/rejected": -0.13906380534172058,
257
+ "logps/chosen": -286.2383728027344,
258
+ "logps/rejected": -284.0565490722656,
259
+ "loss": 0.6885,
260
+ "rewards/accuracies": 0.824999988079071,
261
+ "rewards/chosen": -0.012788718566298485,
262
+ "rewards/margins": 0.01518750749528408,
263
+ "rewards/rejected": -0.027976226061582565,
264
+ "step": 80
265
+ },
266
+ {
267
+ "epoch": 0.16966067864271456,
268
+ "grad_norm": 3.143746580193799,
269
+ "learning_rate": 2.9579415008678196e-07,
270
+ "logits/chosen": 0.061027251183986664,
271
+ "logits/rejected": 0.020937766879796982,
272
+ "logps/chosen": -261.85797119140625,
273
+ "logps/rejected": -245.4117889404297,
274
+ "loss": 0.6879,
275
+ "rewards/accuracies": 0.7124999761581421,
276
+ "rewards/chosen": -0.020817553624510765,
277
+ "rewards/margins": 0.01146668754518032,
278
+ "rewards/rejected": -0.032284241169691086,
279
+ "step": 85
280
+ },
281
+ {
282
+ "epoch": 0.17964071856287425,
283
+ "grad_norm": 3.1363791165769634,
284
+ "learning_rate": 2.944743850196487e-07,
285
+ "logits/chosen": -0.18295350670814514,
286
+ "logits/rejected": -0.138901025056839,
287
+ "logps/chosen": -302.30377197265625,
288
+ "logps/rejected": -297.4572448730469,
289
+ "loss": 0.6867,
290
+ "rewards/accuracies": 0.7250000238418579,
291
+ "rewards/chosen": -0.022789286449551582,
292
+ "rewards/margins": 0.014456982724368572,
293
+ "rewards/rejected": -0.03724626824259758,
294
+ "step": 90
295
+ },
296
+ {
297
+ "epoch": 0.18962075848303392,
298
+ "grad_norm": 3.375624228841244,
299
+ "learning_rate": 2.92978600168942e-07,
300
+ "logits/chosen": -0.21953599154949188,
301
+ "logits/rejected": -0.19249823689460754,
302
+ "logps/chosen": -282.0645446777344,
303
+ "logps/rejected": -293.2350158691406,
304
+ "loss": 0.6865,
305
+ "rewards/accuracies": 0.8374999761581421,
306
+ "rewards/chosen": -0.028345201164484024,
307
+ "rewards/margins": 0.015181821770966053,
308
+ "rewards/rejected": -0.0435270220041275,
309
+ "step": 95
310
+ },
311
+ {
312
+ "epoch": 0.1996007984031936,
313
+ "grad_norm": 3.4004680540887673,
314
+ "learning_rate": 2.913086179180945e-07,
315
+ "logits/chosen": -0.26934295892715454,
316
+ "logits/rejected": -0.24918439984321594,
317
+ "logps/chosen": -267.2822570800781,
318
+ "logps/rejected": -273.8163757324219,
319
+ "loss": 0.6847,
320
+ "rewards/accuracies": 0.762499988079071,
321
+ "rewards/chosen": -0.02366602048277855,
322
+ "rewards/margins": 0.018390221521258354,
323
+ "rewards/rejected": -0.042056240141391754,
324
+ "step": 100
325
+ },
326
+ {
327
+ "epoch": 0.20958083832335328,
328
+ "grad_norm": 3.348944145808141,
329
+ "learning_rate": 2.894664728832377e-07,
330
+ "logits/chosen": -0.12691783905029297,
331
+ "logits/rejected": -0.10880570113658905,
332
+ "logps/chosen": -306.7061462402344,
333
+ "logps/rejected": -296.7961120605469,
334
+ "loss": 0.684,
335
+ "rewards/accuracies": 0.8125,
336
+ "rewards/chosen": -0.02831300161778927,
337
+ "rewards/margins": 0.024948222562670708,
338
+ "rewards/rejected": -0.053261227905750275,
339
+ "step": 105
340
+ },
341
+ {
342
+ "epoch": 0.21956087824351297,
343
+ "grad_norm": 3.3068624575557677,
344
+ "learning_rate": 2.8745440943433595e-07,
345
+ "logits/chosen": -0.39724451303482056,
346
+ "logits/rejected": -0.3233721852302551,
347
+ "logps/chosen": -299.71356201171875,
348
+ "logps/rejected": -307.81011962890625,
349
+ "loss": 0.6826,
350
+ "rewards/accuracies": 0.675000011920929,
351
+ "rewards/chosen": -0.037553686648607254,
352
+ "rewards/margins": 0.01620485447347164,
353
+ "rewards/rejected": -0.053758542984724045,
354
+ "step": 110
355
+ },
356
+ {
357
+ "epoch": 0.22954091816367264,
358
+ "grad_norm": 3.5399975333931057,
359
+ "learning_rate": 2.8527487896076705e-07,
360
+ "logits/chosen": -0.2971861958503723,
361
+ "logits/rejected": -0.26923665404319763,
362
+ "logps/chosen": -323.73760986328125,
363
+ "logps/rejected": -317.88238525390625,
364
+ "loss": 0.6812,
365
+ "rewards/accuracies": 0.8125,
366
+ "rewards/chosen": -0.03361167758703232,
367
+ "rewards/margins": 0.025083836168050766,
368
+ "rewards/rejected": -0.058695513755083084,
369
+ "step": 115
370
+ },
371
+ {
372
+ "epoch": 0.23952095808383234,
373
+ "grad_norm": 3.387251098081717,
374
+ "learning_rate": 2.829305368846822e-07,
375
+ "logits/chosen": -0.08930722624063492,
376
+ "logits/rejected": -0.093043752014637,
377
+ "logps/chosen": -298.3551330566406,
378
+ "logps/rejected": -301.565185546875,
379
+ "loss": 0.6807,
380
+ "rewards/accuracies": 0.762499988079071,
381
+ "rewards/chosen": -0.04334830120205879,
382
+ "rewards/margins": 0.02416048012673855,
383
+ "rewards/rejected": -0.06750877946615219,
384
+ "step": 120
385
+ },
386
+ {
387
+ "epoch": 0.249500998003992,
388
+ "grad_norm": 3.458206539528906,
389
+ "learning_rate": 2.8042423942578286e-07,
390
+ "logits/chosen": -0.06799415498971939,
391
+ "logits/rejected": 0.05015769600868225,
392
+ "logps/chosen": -252.72793579101562,
393
+ "logps/rejected": -279.40631103515625,
394
+ "loss": 0.6788,
395
+ "rewards/accuracies": 0.887499988079071,
396
+ "rewards/chosen": -0.0386417880654335,
397
+ "rewards/margins": 0.03730592131614685,
398
+ "rewards/rejected": -0.07594770938158035,
399
+ "step": 125
400
+ },
401
+ {
402
+ "epoch": 0.25948103792415167,
403
+ "grad_norm": 3.4555138461844757,
404
+ "learning_rate": 2.7775904012145714e-07,
405
+ "logits/chosen": -0.24486279487609863,
406
+ "logits/rejected": -0.1943987011909485,
407
+ "logps/chosen": -326.3341369628906,
408
+ "logps/rejected": -326.3017272949219,
409
+ "loss": 0.6792,
410
+ "rewards/accuracies": 0.75,
411
+ "rewards/chosen": -0.04846924915909767,
412
+ "rewards/margins": 0.03331124037504196,
413
+ "rewards/rejected": -0.08178049325942993,
414
+ "step": 130
415
+ },
416
+ {
417
+ "epoch": 0.2694610778443114,
418
+ "grad_norm": 3.4103149118409104,
419
+ "learning_rate": 2.749381861065149e-07,
420
+ "logits/chosen": -0.11615544557571411,
421
+ "logits/rejected": -0.02477203868329525,
422
+ "logps/chosen": -281.5689697265625,
423
+ "logps/rejected": -289.6168518066406,
424
+ "loss": 0.6756,
425
+ "rewards/accuracies": 0.762499988079071,
426
+ "rewards/chosen": -0.04677049443125725,
427
+ "rewards/margins": 0.03843165561556816,
428
+ "rewards/rejected": -0.085202157497406,
429
+ "step": 135
430
+ },
431
+ {
432
+ "epoch": 0.27944111776447106,
433
+ "grad_norm": 3.3294732309430946,
434
+ "learning_rate": 2.719651141570541e-07,
435
+ "logits/chosen": -0.07356293499469757,
436
+ "logits/rejected": 0.01894739270210266,
437
+ "logps/chosen": -295.6517333984375,
438
+ "logps/rejected": -294.22064208984375,
439
+ "loss": 0.6733,
440
+ "rewards/accuracies": 0.800000011920929,
441
+ "rewards/chosen": -0.04726024717092514,
442
+ "rewards/margins": 0.05050128698348999,
443
+ "rewards/rejected": -0.09776153415441513,
444
+ "step": 140
445
+ },
446
+ {
447
+ "epoch": 0.2894211576846307,
448
+ "grad_norm": 3.335787112423438,
449
+ "learning_rate": 2.6884344650327857e-07,
450
+ "logits/chosen": -0.3144836127758026,
451
+ "logits/rejected": -0.2471332997083664,
452
+ "logps/chosen": -275.6163635253906,
453
+ "logps/rejected": -283.7267150878906,
454
+ "loss": 0.6741,
455
+ "rewards/accuracies": 0.7250000238418579,
456
+ "rewards/chosen": -0.06026310846209526,
457
+ "rewards/margins": 0.03206663206219673,
458
+ "rewards/rejected": -0.0923297330737114,
459
+ "step": 145
460
+ },
461
+ {
462
+ "epoch": 0.2994011976047904,
463
+ "grad_norm": 3.351780879830391,
464
+ "learning_rate": 2.6557698641636836e-07,
465
+ "logits/chosen": -0.09479612112045288,
466
+ "logits/rejected": -0.05155174061655998,
467
+ "logps/chosen": -273.46527099609375,
468
+ "logps/rejected": -285.8160095214844,
469
+ "loss": 0.6719,
470
+ "rewards/accuracies": 0.737500011920929,
471
+ "rewards/chosen": -0.057442475110292435,
472
+ "rewards/margins": 0.04023780673742294,
473
+ "rewards/rejected": -0.09768027812242508,
474
+ "step": 150
475
+ },
476
+ {
477
+ "epoch": 0.3093812375249501,
478
+ "grad_norm": 3.3953812787691744,
479
+ "learning_rate": 2.6216971357477977e-07,
480
+ "logits/chosen": -0.20542898774147034,
481
+ "logits/rejected": -0.16760793328285217,
482
+ "logps/chosen": -319.43438720703125,
483
+ "logps/rejected": -337.89678955078125,
484
+ "loss": 0.6677,
485
+ "rewards/accuracies": 0.7124999761581421,
486
+ "rewards/chosen": -0.0877736285328865,
487
+ "rewards/margins": 0.05791449546813965,
488
+ "rewards/rejected": -0.14568811655044556,
489
+ "step": 155
490
+ },
491
+ {
492
+ "epoch": 0.3193612774451098,
493
+ "grad_norm": 3.7295101426966957,
494
+ "learning_rate": 2.5862577921562015e-07,
495
+ "logits/chosen": -0.26064497232437134,
496
+ "logits/rejected": -0.1645033359527588,
497
+ "logps/chosen": -292.02484130859375,
498
+ "logps/rejected": -300.4161376953125,
499
+ "loss": 0.665,
500
+ "rewards/accuracies": 0.75,
501
+ "rewards/chosen": -0.08468987792730331,
502
+ "rewards/margins": 0.062365107238292694,
503
+ "rewards/rejected": -0.1470550000667572,
504
+ "step": 160
505
+ },
506
+ {
507
+ "epoch": 0.32934131736526945,
508
+ "grad_norm": 3.5278102635310775,
509
+ "learning_rate": 2.549495010770048e-07,
510
+ "logits/chosen": -0.2758394777774811,
511
+ "logits/rejected": -0.20927894115447998,
512
+ "logps/chosen": -288.8243713378906,
513
+ "logps/rejected": -291.8514404296875,
514
+ "loss": 0.6655,
515
+ "rewards/accuracies": 0.7749999761581421,
516
+ "rewards/chosen": -0.10788210481405258,
517
+ "rewards/margins": 0.06151789426803589,
518
+ "rewards/rejected": -0.16940000653266907,
519
+ "step": 165
520
+ },
521
+ {
522
+ "epoch": 0.3393213572854291,
523
+ "grad_norm": 3.512512373193113,
524
+ "learning_rate": 2.511453581375585e-07,
525
+ "logits/chosen": -0.39803841710090637,
526
+ "logits/rejected": -0.3213597238063812,
527
+ "logps/chosen": -258.41326904296875,
528
+ "logps/rejected": -263.5000915527344,
529
+ "loss": 0.6625,
530
+ "rewards/accuracies": 0.7250000238418579,
531
+ "rewards/chosen": -0.10974812507629395,
532
+ "rewards/margins": 0.04202640801668167,
533
+ "rewards/rejected": -0.15177452564239502,
534
+ "step": 170
535
+ },
536
+ {
537
+ "epoch": 0.34930139720558884,
538
+ "grad_norm": 3.7824536020137383,
539
+ "learning_rate": 2.4721798515946963e-07,
540
+ "logits/chosen": -0.2360338717699051,
541
+ "logits/rejected": -0.17899933457374573,
542
+ "logps/chosen": -274.8690185546875,
543
+ "logps/rejected": -291.98419189453125,
544
+ "loss": 0.6587,
545
+ "rewards/accuracies": 0.8125,
546
+ "rewards/chosen": -0.1216902956366539,
547
+ "rewards/margins": 0.0732160434126854,
548
+ "rewards/rejected": -0.1949063539505005,
549
+ "step": 175
550
+ },
551
+ {
552
+ "epoch": 0.3592814371257485,
553
+ "grad_norm": 3.6570477679381033,
554
+ "learning_rate": 2.4317216704174655e-07,
555
+ "logits/chosen": -0.2678098976612091,
556
+ "logits/rejected": -0.22654588520526886,
557
+ "logps/chosen": -285.76885986328125,
558
+ "logps/rejected": -300.3975524902344,
559
+ "loss": 0.6575,
560
+ "rewards/accuracies": 0.7749999761581421,
561
+ "rewards/chosen": -0.13574646413326263,
562
+ "rewards/margins": 0.06750482320785522,
563
+ "rewards/rejected": -0.20325128734111786,
564
+ "step": 180
565
+ },
566
+ {
567
+ "epoch": 0.36926147704590817,
568
+ "grad_norm": 3.705774667801494,
569
+ "learning_rate": 2.3901283299055524e-07,
570
+ "logits/chosen": -0.4732998013496399,
571
+ "logits/rejected": -0.39881661534309387,
572
+ "logps/chosen": -321.14984130859375,
573
+ "logps/rejected": -326.15032958984375,
574
+ "loss": 0.6514,
575
+ "rewards/accuracies": 0.800000011920929,
576
+ "rewards/chosen": -0.17002463340759277,
577
+ "rewards/margins": 0.08681143075227737,
578
+ "rewards/rejected": -0.25683605670928955,
579
+ "step": 185
580
+ },
581
+ {
582
+ "epoch": 0.37924151696606784,
583
+ "grad_norm": 3.4125215861302176,
584
+ "learning_rate": 2.3474505051374067e-07,
585
+ "logits/chosen": -0.34785977005958557,
586
+ "logits/rejected": -0.24581901729106903,
587
+ "logps/chosen": -323.81732177734375,
588
+ "logps/rejected": -328.8360900878906,
589
+ "loss": 0.6496,
590
+ "rewards/accuracies": 0.699999988079071,
591
+ "rewards/chosen": -0.20683076977729797,
592
+ "rewards/margins": 0.07259462773799896,
593
+ "rewards/rejected": -0.2794254422187805,
594
+ "step": 190
595
+ },
596
+ {
597
+ "epoch": 0.38922155688622756,
598
+ "grad_norm": 3.6035947439545715,
599
+ "learning_rate": 2.3037401924684947e-07,
600
+ "logits/chosen": -0.2815292775630951,
601
+ "logits/rejected": -0.2620851397514343,
602
+ "logps/chosen": -319.5675048828125,
603
+ "logps/rejected": -332.9228210449219,
604
+ "loss": 0.6501,
605
+ "rewards/accuracies": 0.762499988079071,
606
+ "rewards/chosen": -0.2412305772304535,
607
+ "rewards/margins": 0.09057402610778809,
608
+ "rewards/rejected": -0.3318046033382416,
609
+ "step": 195
610
+ },
611
+ {
612
+ "epoch": 0.3992015968063872,
613
+ "grad_norm": 3.6822468215438624,
614
+ "learning_rate": 2.2590506461817452e-07,
615
+ "logits/chosen": -0.259944349527359,
616
+ "logits/rejected": -0.20725861191749573,
617
+ "logps/chosen": -298.30303955078125,
618
+ "logps/rejected": -305.5474548339844,
619
+ "loss": 0.6419,
620
+ "rewards/accuracies": 0.800000011920929,
621
+ "rewards/chosen": -0.24381069839000702,
622
+ "rewards/margins": 0.11996382474899292,
623
+ "rewards/rejected": -0.36377447843551636,
624
+ "step": 200
625
+ },
626
+ {
627
+ "epoch": 0.4091816367265469,
628
+ "grad_norm": 3.7132773714988927,
629
+ "learning_rate": 2.213436313605413e-07,
630
+ "logits/chosen": -0.5560285449028015,
631
+ "logits/rejected": -0.49163347482681274,
632
+ "logps/chosen": -387.44171142578125,
633
+ "logps/rejected": -402.449462890625,
634
+ "loss": 0.6434,
635
+ "rewards/accuracies": 0.7250000238418579,
636
+ "rewards/chosen": -0.3169836699962616,
637
+ "rewards/margins": 0.07618891447782516,
638
+ "rewards/rejected": -0.39317259192466736,
639
+ "step": 205
640
+ },
641
+ {
642
+ "epoch": 0.41916167664670656,
643
+ "grad_norm": 3.775451248470663,
644
+ "learning_rate": 2.166952768777391e-07,
645
+ "logits/chosen": -0.2941240966320038,
646
+ "logits/rejected": -0.3131045997142792,
647
+ "logps/chosen": -303.090087890625,
648
+ "logps/rejected": -298.85699462890625,
649
+ "loss": 0.6404,
650
+ "rewards/accuracies": 0.75,
651
+ "rewards/chosen": -0.2724608778953552,
652
+ "rewards/margins": 0.1073354110121727,
653
+ "rewards/rejected": -0.3797963261604309,
654
+ "step": 210
655
+ },
656
+ {
657
+ "epoch": 0.4291417165668663,
658
+ "grad_norm": 3.7925188623151422,
659
+ "learning_rate": 2.1196566447368126e-07,
660
+ "logits/chosen": -0.26538053154945374,
661
+ "logits/rejected": -0.25145062804222107,
662
+ "logps/chosen": -334.455078125,
663
+ "logps/rejected": -356.2786865234375,
664
+ "loss": 0.6355,
665
+ "rewards/accuracies": 0.75,
666
+ "rewards/chosen": -0.34816819429397583,
667
+ "rewards/margins": 0.12635044753551483,
668
+ "rewards/rejected": -0.4745185971260071,
669
+ "step": 215
670
+ },
671
+ {
672
+ "epoch": 0.43912175648702595,
673
+ "grad_norm": 3.8981243362393565,
674
+ "learning_rate": 2.0716055645254113e-07,
675
+ "logits/chosen": -0.46777939796447754,
676
+ "logits/rejected": -0.4300519824028015,
677
+ "logps/chosen": -325.1937255859375,
678
+ "logps/rejected": -333.54022216796875,
679
+ "loss": 0.641,
680
+ "rewards/accuracies": 0.737500011920929,
681
+ "rewards/chosen": -0.4105430245399475,
682
+ "rewards/margins": 0.10119415819644928,
683
+ "rewards/rejected": -0.5117372274398804,
684
+ "step": 220
685
+ },
686
+ {
687
+ "epoch": 0.4491017964071856,
688
+ "grad_norm": 3.7392987472200354,
689
+ "learning_rate": 2.0228580709827226e-07,
690
+ "logits/chosen": -0.5368104577064514,
691
+ "logits/rejected": -0.45491117238998413,
692
+ "logps/chosen": -349.7928771972656,
693
+ "logps/rejected": -371.95050048828125,
694
+ "loss": 0.6326,
695
+ "rewards/accuracies": 0.800000011920929,
696
+ "rewards/chosen": -0.3743346631526947,
697
+ "rewards/margins": 0.1426324099302292,
698
+ "rewards/rejected": -0.5169671177864075,
699
+ "step": 225
700
+ },
701
+ {
702
+ "epoch": 0.4590818363273453,
703
+ "grad_norm": 3.6974655152807174,
704
+ "learning_rate": 1.9734735554206537e-07,
705
+ "logits/chosen": -0.31408676505088806,
706
+ "logits/rejected": -0.2642524242401123,
707
+ "logps/chosen": -349.4893798828125,
708
+ "logps/rejected": -369.08990478515625,
709
+ "loss": 0.6238,
710
+ "rewards/accuracies": 0.75,
711
+ "rewards/chosen": -0.47439342737197876,
712
+ "rewards/margins": 0.15798419713974,
713
+ "rewards/rejected": -0.632377564907074,
714
+ "step": 230
715
+ },
716
+ {
717
+ "epoch": 0.469061876247505,
718
+ "grad_norm": 3.9074441662298662,
719
+ "learning_rate": 1.9235121852643148e-07,
720
+ "logits/chosen": -0.4889460504055023,
721
+ "logits/rejected": -0.48752936720848083,
722
+ "logps/chosen": -331.08624267578125,
723
+ "logps/rejected": -348.8202819824219,
724
+ "loss": 0.6259,
725
+ "rewards/accuracies": 0.7875000238418579,
726
+ "rewards/chosen": -0.41649022698402405,
727
+ "rewards/margins": 0.1930549144744873,
728
+ "rewards/rejected": -0.609545111656189,
729
+ "step": 235
730
+ },
731
+ {
732
+ "epoch": 0.47904191616766467,
733
+ "grad_norm": 3.7710978575315757,
734
+ "learning_rate": 1.8730348307472826e-07,
735
+ "logits/chosen": -0.4119279384613037,
736
+ "logits/rejected": -0.444758802652359,
737
+ "logps/chosen": -348.2624206542969,
738
+ "logps/rejected": -369.9598083496094,
739
+ "loss": 0.6249,
740
+ "rewards/accuracies": 0.7250000238418579,
741
+ "rewards/chosen": -0.5225319862365723,
742
+ "rewards/margins": 0.13163016736507416,
743
+ "rewards/rejected": -0.6541622281074524,
744
+ "step": 240
745
+ },
746
+ {
747
+ "epoch": 0.48902195608782434,
748
+ "grad_norm": 4.08348789093204,
749
+ "learning_rate": 1.822102990750595e-07,
750
+ "logits/chosen": -0.5410420298576355,
751
+ "logits/rejected": -0.4581461548805237,
752
+ "logps/chosen": -300.3963317871094,
753
+ "logps/rejected": -326.97357177734375,
754
+ "loss": 0.6205,
755
+ "rewards/accuracies": 0.824999988079071,
756
+ "rewards/chosen": -0.4268406927585602,
757
+ "rewards/margins": 0.17870576679706573,
758
+ "rewards/rejected": -0.6055464744567871,
759
+ "step": 245
760
+ },
761
+ {
762
+ "epoch": 0.499001996007984,
763
+ "grad_norm": 3.8249633059365977,
764
+ "learning_rate": 1.7707787178758402e-07,
765
+ "logits/chosen": -0.5376532673835754,
766
+ "logits/rejected": -0.5166374444961548,
767
+ "logps/chosen": -334.3974609375,
768
+ "logps/rejected": -363.59832763671875,
769
+ "loss": 0.6097,
770
+ "rewards/accuracies": 0.824999988079071,
771
+ "rewards/chosen": -0.5467029809951782,
772
+ "rewards/margins": 0.219395712018013,
773
+ "rewards/rejected": -0.7660986185073853,
774
+ "step": 250
775
+ },
776
+ {
777
+ "epoch": 0.5089820359281437,
778
+ "grad_norm": 4.084608415013939,
779
+ "learning_rate": 1.7191245428436176e-07,
780
+ "logits/chosen": -0.6120297908782959,
781
+ "logits/rejected": -0.5665668249130249,
782
+ "logps/chosen": -388.49237060546875,
783
+ "logps/rejected": -404.17913818359375,
784
+ "loss": 0.6066,
785
+ "rewards/accuracies": 0.8125,
786
+ "rewards/chosen": -0.5541552305221558,
787
+ "rewards/margins": 0.18654166162014008,
788
+ "rewards/rejected": -0.7406969666481018,
789
+ "step": 255
790
+ },
791
+ {
792
+ "epoch": 0.5189620758483033,
793
+ "grad_norm": 4.127013078261958,
794
+ "learning_rate": 1.667203398309488e-07,
795
+ "logits/chosen": -0.602649450302124,
796
+ "logits/rejected": -0.47091540694236755,
797
+ "logps/chosen": -342.5652770996094,
798
+ "logps/rejected": -363.1390380859375,
799
+ "loss": 0.6099,
800
+ "rewards/accuracies": 0.762499988079071,
801
+ "rewards/chosen": -0.5999665260314941,
802
+ "rewards/margins": 0.22458717226982117,
803
+ "rewards/rejected": -0.8245537877082825,
804
+ "step": 260
805
+ },
806
+ {
807
+ "epoch": 0.5289421157684631,
808
+ "grad_norm": 4.181662944251744,
809
+ "learning_rate": 1.6150785421902278e-07,
810
+ "logits/chosen": -0.49136123061180115,
811
+ "logits/rejected": -0.4355231821537018,
812
+ "logps/chosen": -355.0814514160156,
813
+ "logps/rejected": -400.48486328125,
814
+ "loss": 0.6027,
815
+ "rewards/accuracies": 0.762499988079071,
816
+ "rewards/chosen": -0.6992485523223877,
817
+ "rewards/margins": 0.2647705674171448,
818
+ "rewards/rejected": -0.9640190005302429,
819
+ "step": 265
820
+ },
821
+ {
822
+ "epoch": 0.5389221556886228,
823
+ "grad_norm": 4.187328944312369,
824
+ "learning_rate": 1.5628134805937993e-07,
825
+ "logits/chosen": -0.6901322603225708,
826
+ "logits/rejected": -0.7155795693397522,
827
+ "logps/chosen": -338.4058532714844,
828
+ "logps/rejected": -357.05145263671875,
829
+ "loss": 0.6044,
830
+ "rewards/accuracies": 0.800000011920929,
831
+ "rewards/chosen": -0.6499531865119934,
832
+ "rewards/margins": 0.2078942060470581,
833
+ "rewards/rejected": -0.8578473329544067,
834
+ "step": 270
835
+ },
836
+ {
837
+ "epoch": 0.5489021956087824,
838
+ "grad_norm": 4.480820141822546,
839
+ "learning_rate": 1.5104718904469424e-07,
840
+ "logits/chosen": -0.49210062623023987,
841
+ "logits/rejected": -0.4995419979095459,
842
+ "logps/chosen": -362.78936767578125,
843
+ "logps/rejected": -376.6024475097656,
844
+ "loss": 0.6022,
845
+ "rewards/accuracies": 0.7749999761581421,
846
+ "rewards/chosen": -0.684400200843811,
847
+ "rewards/margins": 0.22897310554981232,
848
+ "rewards/rejected": -0.9133733510971069,
849
+ "step": 275
850
+ },
851
+ {
852
+ "epoch": 0.5588822355289421,
853
+ "grad_norm": 4.335560690928003,
854
+ "learning_rate": 1.458117541914647e-07,
855
+ "logits/chosen": -0.6205674409866333,
856
+ "logits/rejected": -0.5415416955947876,
857
+ "logps/chosen": -363.15484619140625,
858
+ "logps/rejected": -380.423828125,
859
+ "loss": 0.601,
860
+ "rewards/accuracies": 0.762499988079071,
861
+ "rewards/chosen": -0.7319628000259399,
862
+ "rewards/margins": 0.22972945868968964,
863
+ "rewards/rejected": -0.9616923332214355,
864
+ "step": 280
865
+ },
866
+ {
867
+ "epoch": 0.5688622754491018,
868
+ "grad_norm": 4.236266469806635,
869
+ "learning_rate": 1.4058142207060298e-07,
870
+ "logits/chosen": -0.5227392315864563,
871
+ "logits/rejected": -0.44109734892845154,
872
+ "logps/chosen": -350.81268310546875,
873
+ "logps/rejected": -387.339111328125,
874
+ "loss": 0.599,
875
+ "rewards/accuracies": 0.8125,
876
+ "rewards/chosen": -0.7962437272071838,
877
+ "rewards/margins": 0.2677839994430542,
878
+ "rewards/rejected": -1.0640277862548828,
879
+ "step": 285
880
+ },
881
+ {
882
+ "epoch": 0.5788423153692615,
883
+ "grad_norm": 4.1859368563558546,
884
+ "learning_rate": 1.353625650361276e-07,
885
+ "logits/chosen": -0.4567599296569824,
886
+ "logits/rejected": -0.37081751227378845,
887
+ "logps/chosen": -292.90582275390625,
888
+ "logps/rejected": -351.08428955078125,
889
+ "loss": 0.5976,
890
+ "rewards/accuracies": 0.800000011920929,
891
+ "rewards/chosen": -0.7117597460746765,
892
+ "rewards/margins": 0.23347418010234833,
893
+ "rewards/rejected": -0.9452340006828308,
894
+ "step": 290
895
+ },
896
+ {
897
+ "epoch": 0.5888223552894212,
898
+ "grad_norm": 4.963202872238042,
899
+ "learning_rate": 1.301615414614316e-07,
900
+ "logits/chosen": -0.5814245939254761,
901
+ "logits/rejected": -0.477074533700943,
902
+ "logps/chosen": -359.9764404296875,
903
+ "logps/rejected": -408.649169921875,
904
+ "loss": 0.5854,
905
+ "rewards/accuracies": 0.8125,
906
+ "rewards/chosen": -0.8252065777778625,
907
+ "rewards/margins": 0.3438906669616699,
908
+ "rewards/rejected": -1.1690973043441772,
909
+ "step": 295
910
+ },
911
+ {
912
+ "epoch": 0.5988023952095808,
913
+ "grad_norm": 4.522965998928778,
914
+ "learning_rate": 1.2498468799258466e-07,
915
+ "logits/chosen": -0.6931585669517517,
916
+ "logits/rejected": -0.6726911067962646,
917
+ "logps/chosen": -447.56134033203125,
918
+ "logps/rejected": -467.0315856933594,
919
+ "loss": 0.5951,
920
+ "rewards/accuracies": 0.737500011920929,
921
+ "rewards/chosen": -1.0262882709503174,
922
+ "rewards/margins": 0.3147868514060974,
923
+ "rewards/rejected": -1.3410751819610596,
924
+ "step": 300
925
+ },
926
+ {
927
+ "epoch": 0.6087824351297405,
928
+ "grad_norm": 4.334372580127937,
929
+ "learning_rate": 1.1983831182810532e-07,
930
+ "logits/chosen": -0.7098149657249451,
931
+ "logits/rejected": -0.6338291764259338,
932
+ "logps/chosen": -370.42584228515625,
933
+ "logps/rejected": -416.33673095703125,
934
+ "loss": 0.5741,
935
+ "rewards/accuracies": 0.7250000238418579,
936
+ "rewards/chosen": -0.9695831537246704,
937
+ "rewards/margins": 0.28274181485176086,
938
+ "rewards/rejected": -1.2523248195648193,
939
+ "step": 305
940
+ },
941
+ {
942
+ "epoch": 0.6187624750499002,
943
+ "grad_norm": 4.645155562753339,
944
+ "learning_rate": 1.147286830346115e-07,
945
+ "logits/chosen": -0.7523954510688782,
946
+ "logits/rejected": -0.6753584146499634,
947
+ "logps/chosen": -415.63629150390625,
948
+ "logps/rejected": -454.6825256347656,
949
+ "loss": 0.5819,
950
+ "rewards/accuracies": 0.7749999761581421,
951
+ "rewards/chosen": -1.1591014862060547,
952
+ "rewards/margins": 0.3371506929397583,
953
+ "rewards/rejected": -1.496252179145813,
954
+ "step": 310
955
+ },
956
+ {
957
+ "epoch": 0.6287425149700598,
958
+ "grad_norm": 4.669200509826971,
959
+ "learning_rate": 1.0966202690771015e-07,
960
+ "logits/chosen": -0.668272852897644,
961
+ "logits/rejected": -0.5711073875427246,
962
+ "logps/chosen": -412.66424560546875,
963
+ "logps/rejected": -463.01971435546875,
964
+ "loss": 0.5802,
965
+ "rewards/accuracies": 0.800000011920929,
966
+ "rewards/chosen": -1.1411970853805542,
967
+ "rewards/margins": 0.34684187173843384,
968
+ "rewards/rejected": -1.4880390167236328,
969
+ "step": 315
970
+ },
971
+ {
972
+ "epoch": 0.6387225548902196,
973
+ "grad_norm": 4.60028355094582,
974
+ "learning_rate": 1.0464451638743333e-07,
975
+ "logits/chosen": -0.720443606376648,
976
+ "logits/rejected": -0.633614182472229,
977
+ "logps/chosen": -381.11358642578125,
978
+ "logps/rejected": -422.4686584472656,
979
+ "loss": 0.5803,
980
+ "rewards/accuracies": 0.824999988079071,
981
+ "rewards/chosen": -1.1198880672454834,
982
+ "rewards/margins": 0.3332558274269104,
983
+ "rewards/rejected": -1.4531439542770386,
984
+ "step": 320
985
+ },
986
+ {
987
+ "epoch": 0.6487025948103793,
988
+ "grad_norm": 4.7117497209054315,
989
+ "learning_rate": 9.968226453746175e-08,
990
+ "logits/chosen": -0.6728391647338867,
991
+ "logits/rejected": -0.6361491084098816,
992
+ "logps/chosen": -388.78375244140625,
993
+ "logps/rejected": -422.4482421875,
994
+ "loss": 0.5744,
995
+ "rewards/accuracies": 0.6875,
996
+ "rewards/chosen": -1.175586462020874,
997
+ "rewards/margins": 0.2871216833591461,
998
+ "rewards/rejected": -1.4627082347869873,
999
+ "step": 325
1000
+ },
1001
+ {
1002
+ "epoch": 0.6586826347305389,
1003
+ "grad_norm": 4.348227355176717,
1004
+ "learning_rate": 9.478131709729831e-08,
1005
+ "logits/chosen": -0.7032121419906616,
1006
+ "logits/rejected": -0.6237956285476685,
1007
+ "logps/chosen": -377.9942321777344,
1008
+ "logps/rejected": -404.4933166503906,
1009
+ "loss": 0.5795,
1010
+ "rewards/accuracies": 0.75,
1011
+ "rewards/chosen": -1.1823105812072754,
1012
+ "rewards/margins": 0.23070795834064484,
1013
+ "rewards/rejected": -1.4130184650421143,
1014
+ "step": 330
1015
+ },
1016
+ {
1017
+ "epoch": 0.6686626746506986,
1018
+ "grad_norm": 4.567093235085812,
1019
+ "learning_rate": 8.994764511646577e-08,
1020
+ "logits/chosen": -0.696010410785675,
1021
+ "logits/rejected": -0.6754131317138672,
1022
+ "logps/chosen": -400.3501892089844,
1023
+ "logps/rejected": -406.4004821777344,
1024
+ "loss": 0.5887,
1025
+ "rewards/accuracies": 0.75,
1026
+ "rewards/chosen": -1.2299916744232178,
1027
+ "rewards/margins": 0.2420133799314499,
1028
+ "rewards/rejected": -1.4720051288604736,
1029
+ "step": 335
1030
+ },
1031
+ {
1032
+ "epoch": 0.6786427145708582,
1033
+ "grad_norm": 5.005664260886447,
1034
+ "learning_rate": 8.518713767970262e-08,
1035
+ "logits/chosen": -0.7765355706214905,
1036
+ "logits/rejected": -0.7291234135627747,
1037
+ "logps/chosen": -440.3502502441406,
1038
+ "logps/rejected": -463.7428283691406,
1039
+ "loss": 0.5654,
1040
+ "rewards/accuracies": 0.699999988079071,
1041
+ "rewards/chosen": -1.2532676458358765,
1042
+ "rewards/margins": 0.2593846023082733,
1043
+ "rewards/rejected": -1.5126522779464722,
1044
+ "step": 340
1045
+ },
1046
+ {
1047
+ "epoch": 0.688622754491018,
1048
+ "grad_norm": 5.103097065108184,
1049
+ "learning_rate": 8.050559473202076e-08,
1050
+ "logits/chosen": -0.5867692232131958,
1051
+ "logits/rejected": -0.5882567167282104,
1052
+ "logps/chosen": -486.0328063964844,
1053
+ "logps/rejected": -492.4873046875,
1054
+ "loss": 0.5909,
1055
+ "rewards/accuracies": 0.7124999761581421,
1056
+ "rewards/chosen": -1.4522783756256104,
1057
+ "rewards/margins": 0.20934677124023438,
1058
+ "rewards/rejected": -1.6616249084472656,
1059
+ "step": 345
1060
+ },
1061
+ {
1062
+ "epoch": 0.6986027944111777,
1063
+ "grad_norm": 4.912813992114836,
1064
+ "learning_rate": 7.590872001236538e-08,
1065
+ "logits/chosen": -0.7335643768310547,
1066
+ "logits/rejected": -0.6834427714347839,
1067
+ "logps/chosen": -402.9820861816406,
1068
+ "logps/rejected": -425.92156982421875,
1069
+ "loss": 0.5716,
1070
+ "rewards/accuracies": 0.7875000238418579,
1071
+ "rewards/chosen": -1.3429086208343506,
1072
+ "rewards/margins": 0.27442997694015503,
1073
+ "rewards/rejected": -1.6173385381698608,
1074
+ "step": 350
1075
+ },
1076
+ {
1077
+ "epoch": 0.7085828343313373,
1078
+ "grad_norm": 5.102923641063365,
1079
+ "learning_rate": 7.140211410448815e-08,
1080
+ "logits/chosen": -0.721831202507019,
1081
+ "logits/rejected": -0.61592036485672,
1082
+ "logps/chosen": -370.572265625,
1083
+ "logps/rejected": -414.7581481933594,
1084
+ "loss": 0.5721,
1085
+ "rewards/accuracies": 0.7124999761581421,
1086
+ "rewards/chosen": -1.2241812944412231,
1087
+ "rewards/margins": 0.3305676281452179,
1088
+ "rewards/rejected": -1.554748773574829,
1089
+ "step": 355
1090
+ },
1091
+ {
1092
+ "epoch": 0.718562874251497,
1093
+ "grad_norm": 5.015860169175414,
1094
+ "learning_rate": 6.69912676134984e-08,
1095
+ "logits/chosen": -0.7092261910438538,
1096
+ "logits/rejected": -0.6547318696975708,
1097
+ "logps/chosen": -440.85711669921875,
1098
+ "logps/rejected": -457.0215759277344,
1099
+ "loss": 0.5707,
1100
+ "rewards/accuracies": 0.7250000238418579,
1101
+ "rewards/chosen": -1.397318720817566,
1102
+ "rewards/margins": 0.24624857306480408,
1103
+ "rewards/rejected": -1.6435673236846924,
1104
+ "step": 360
1105
+ },
1106
+ {
1107
+ "epoch": 0.7285429141716567,
1108
+ "grad_norm": 4.774816172341646,
1109
+ "learning_rate": 6.26815544764066e-08,
1110
+ "logits/chosen": -0.8451409339904785,
1111
+ "logits/rejected": -0.7582667469978333,
1112
+ "logps/chosen": -390.70233154296875,
1113
+ "logps/rejected": -433.895263671875,
1114
+ "loss": 0.5661,
1115
+ "rewards/accuracies": 0.675000011920929,
1116
+ "rewards/chosen": -1.2642087936401367,
1117
+ "rewards/margins": 0.3393135070800781,
1118
+ "rewards/rejected": -1.6035223007202148,
1119
+ "step": 365
1120
+ },
1121
+ {
1122
+ "epoch": 0.7385229540918163,
1123
+ "grad_norm": 4.965964761489328,
1124
+ "learning_rate": 5.847822541480985e-08,
1125
+ "logits/chosen": -0.6884382963180542,
1126
+ "logits/rejected": -0.6832146644592285,
1127
+ "logps/chosen": -505.1039123535156,
1128
+ "logps/rejected": -543.939697265625,
1129
+ "loss": 0.5737,
1130
+ "rewards/accuracies": 0.7250000238418579,
1131
+ "rewards/chosen": -1.5997720956802368,
1132
+ "rewards/margins": 0.34007787704467773,
1133
+ "rewards/rejected": -1.939850091934204,
1134
+ "step": 370
1135
+ },
1136
+ {
1137
+ "epoch": 0.7485029940119761,
1138
+ "grad_norm": 5.257593216933955,
1139
+ "learning_rate": 5.4386401537696535e-08,
1140
+ "logits/chosen": -0.654364287853241,
1141
+ "logits/rejected": -0.618787407875061,
1142
+ "logps/chosen": -424.26031494140625,
1143
+ "logps/rejected": -464.0692443847656,
1144
+ "loss": 0.5656,
1145
+ "rewards/accuracies": 0.75,
1146
+ "rewards/chosen": -1.4769487380981445,
1147
+ "rewards/margins": 0.3530046045780182,
1148
+ "rewards/rejected": -1.8299534320831299,
1149
+ "step": 375
1150
+ },
1151
+ {
1152
+ "epoch": 0.7584830339321357,
1153
+ "grad_norm": 5.018164548165559,
1154
+ "learning_rate": 5.0411068102163756e-08,
1155
+ "logits/chosen": -0.7129963636398315,
1156
+ "logits/rejected": -0.6934917569160461,
1157
+ "logps/chosen": -338.116943359375,
1158
+ "logps/rejected": -385.53192138671875,
1159
+ "loss": 0.5812,
1160
+ "rewards/accuracies": 0.7875000238418579,
1161
+ "rewards/chosen": -1.1324220895767212,
1162
+ "rewards/margins": 0.3832218050956726,
1163
+ "rewards/rejected": -1.515643835067749,
1164
+ "step": 380
1165
+ },
1166
+ {
1167
+ "epoch": 0.7684630738522954,
1168
+ "grad_norm": 4.842940867729204,
1169
+ "learning_rate": 4.6557068439649526e-08,
1170
+ "logits/chosen": -0.6886343955993652,
1171
+ "logits/rejected": -0.6565831303596497,
1172
+ "logps/chosen": -475.0184631347656,
1173
+ "logps/rejected": -506.1280212402344,
1174
+ "loss": 0.5773,
1175
+ "rewards/accuracies": 0.762499988079071,
1176
+ "rewards/chosen": -1.5225403308868408,
1177
+ "rewards/margins": 0.3815816044807434,
1178
+ "rewards/rejected": -1.90412175655365,
1179
+ "step": 385
1180
+ },
1181
+ {
1182
+ "epoch": 0.7784431137724551,
1183
+ "grad_norm": 4.981718868828084,
1184
+ "learning_rate": 4.2829098055079526e-08,
1185
+ "logits/chosen": -0.8457885980606079,
1186
+ "logits/rejected": -0.8267861604690552,
1187
+ "logps/chosen": -402.27032470703125,
1188
+ "logps/rejected": -441.7845153808594,
1189
+ "loss": 0.5706,
1190
+ "rewards/accuracies": 0.7250000238418579,
1191
+ "rewards/chosen": -1.30136239528656,
1192
+ "rewards/margins": 0.37314456701278687,
1193
+ "rewards/rejected": -1.6745071411132812,
1194
+ "step": 390
1195
+ },
1196
+ {
1197
+ "epoch": 0.7884231536926147,
1198
+ "grad_norm": 4.76229443747579,
1199
+ "learning_rate": 3.923169890611741e-08,
1200
+ "logits/chosen": -0.7744909524917603,
1201
+ "logits/rejected": -0.7276748418807983,
1202
+ "logps/chosen": -407.0968322753906,
1203
+ "logps/rejected": -451.7494201660156,
1204
+ "loss": 0.5605,
1205
+ "rewards/accuracies": 0.762499988079071,
1206
+ "rewards/chosen": -1.4497464895248413,
1207
+ "rewards/margins": 0.40129631757736206,
1208
+ "rewards/rejected": -1.8510427474975586,
1209
+ "step": 395
1210
+ },
1211
+ {
1212
+ "epoch": 0.7984031936127745,
1213
+ "grad_norm": 4.572364850180581,
1214
+ "learning_rate": 3.576925386948951e-08,
1215
+ "logits/chosen": -0.9308286905288696,
1216
+ "logits/rejected": -0.8524009585380554,
1217
+ "logps/chosen": -406.74578857421875,
1218
+ "logps/rejected": -458.7312927246094,
1219
+ "loss": 0.5563,
1220
+ "rewards/accuracies": 0.762499988079071,
1221
+ "rewards/chosen": -1.3046013116836548,
1222
+ "rewards/margins": 0.4329892098903656,
1223
+ "rewards/rejected": -1.7375905513763428,
1224
+ "step": 400
1225
+ },
1226
+ {
1227
+ "epoch": 0.8083832335329342,
1228
+ "grad_norm": 4.905353303890107,
1229
+ "learning_rate": 3.244598140112404e-08,
1230
+ "logits/chosen": -0.8015610575675964,
1231
+ "logits/rejected": -0.7380157709121704,
1232
+ "logps/chosen": -399.67218017578125,
1233
+ "logps/rejected": -457.02825927734375,
1234
+ "loss": 0.5685,
1235
+ "rewards/accuracies": 0.7124999761581421,
1236
+ "rewards/chosen": -1.3612743616104126,
1237
+ "rewards/margins": 0.4470387399196625,
1238
+ "rewards/rejected": -1.808313012123108,
1239
+ "step": 405
1240
+ },
1241
+ {
1242
+ "epoch": 0.8183632734530938,
1243
+ "grad_norm": 5.311955246309319,
1244
+ "learning_rate": 2.9265930396612894e-08,
1245
+ "logits/chosen": -0.7535597085952759,
1246
+ "logits/rejected": -0.6952261328697205,
1247
+ "logps/chosen": -399.0675964355469,
1248
+ "logps/rejected": -452.47344970703125,
1249
+ "loss": 0.582,
1250
+ "rewards/accuracies": 0.800000011920929,
1251
+ "rewards/chosen": -1.2877695560455322,
1252
+ "rewards/margins": 0.3449626564979553,
1253
+ "rewards/rejected": -1.6327321529388428,
1254
+ "step": 410
1255
+ },
1256
+ {
1257
+ "epoch": 0.8283433133732535,
1258
+ "grad_norm": 5.053420598356344,
1259
+ "learning_rate": 2.623297525825574e-08,
1260
+ "logits/chosen": -0.8561833500862122,
1261
+ "logits/rejected": -0.8156620264053345,
1262
+ "logps/chosen": -430.49725341796875,
1263
+ "logps/rejected": -483.80364990234375,
1264
+ "loss": 0.5686,
1265
+ "rewards/accuracies": 0.800000011920929,
1266
+ "rewards/chosen": -1.4236512184143066,
1267
+ "rewards/margins": 0.3616659343242645,
1268
+ "rewards/rejected": -1.7853171825408936,
1269
+ "step": 415
1270
+ },
1271
+ {
1272
+ "epoch": 0.8383233532934131,
1273
+ "grad_norm": 5.004297553699464,
1274
+ "learning_rate": 2.335081117469777e-08,
1275
+ "logits/chosen": -0.8136135339736938,
1276
+ "logits/rejected": -0.7686566114425659,
1277
+ "logps/chosen": -444.23419189453125,
1278
+ "logps/rejected": -508.3873596191406,
1279
+ "loss": 0.5616,
1280
+ "rewards/accuracies": 0.824999988079071,
1281
+ "rewards/chosen": -1.4251264333724976,
1282
+ "rewards/margins": 0.4452531933784485,
1283
+ "rewards/rejected": -1.8703796863555908,
1284
+ "step": 420
1285
+ },
1286
+ {
1287
+ "epoch": 0.8483033932135728,
1288
+ "grad_norm": 5.171033512433695,
1289
+ "learning_rate": 2.062294961891138e-08,
1290
+ "logits/chosen": -0.9262305498123169,
1291
+ "logits/rejected": -0.8602676391601562,
1292
+ "logps/chosen": -419.66705322265625,
1293
+ "logps/rejected": -458.7422790527344,
1294
+ "loss": 0.5601,
1295
+ "rewards/accuracies": 0.824999988079071,
1296
+ "rewards/chosen": -1.3270304203033447,
1297
+ "rewards/margins": 0.39937418699264526,
1298
+ "rewards/rejected": -1.7264049053192139,
1299
+ "step": 425
1300
+ },
1301
+ {
1302
+ "epoch": 0.8582834331337326,
1303
+ "grad_norm": 5.325797888088927,
1304
+ "learning_rate": 1.8052714070007545e-08,
1305
+ "logits/chosen": -0.7420898675918579,
1306
+ "logits/rejected": -0.7444819211959839,
1307
+ "logps/chosen": -404.44879150390625,
1308
+ "logps/rejected": -432.81304931640625,
1309
+ "loss": 0.5725,
1310
+ "rewards/accuracies": 0.7124999761581421,
1311
+ "rewards/chosen": -1.3653631210327148,
1312
+ "rewards/margins": 0.33520203828811646,
1313
+ "rewards/rejected": -1.7005650997161865,
1314
+ "step": 430
1315
+ },
1316
+ {
1317
+ "epoch": 0.8682634730538922,
1318
+ "grad_norm": 5.010002107069334,
1319
+ "learning_rate": 1.5643235964088065e-08,
1320
+ "logits/chosen": -0.8383352160453796,
1321
+ "logits/rejected": -0.8191484212875366,
1322
+ "logps/chosen": -455.4537048339844,
1323
+ "logps/rejected": -499.7396545410156,
1324
+ "loss": 0.5761,
1325
+ "rewards/accuracies": 0.824999988079071,
1326
+ "rewards/chosen": -1.4779622554779053,
1327
+ "rewards/margins": 0.4129580557346344,
1328
+ "rewards/rejected": -1.8909204006195068,
1329
+ "step": 435
1330
+ },
1331
+ {
1332
+ "epoch": 0.8782435129740519,
1333
+ "grad_norm": 4.772084864042891,
1334
+ "learning_rate": 1.3397450879073446e-08,
1335
+ "logits/chosen": -0.8404937982559204,
1336
+ "logits/rejected": -0.8073346018791199,
1337
+ "logps/chosen": -468.2997131347656,
1338
+ "logps/rejected": -504.8995666503906,
1339
+ "loss": 0.5648,
1340
+ "rewards/accuracies": 0.762499988079071,
1341
+ "rewards/chosen": -1.6386680603027344,
1342
+ "rewards/margins": 0.4446341395378113,
1343
+ "rewards/rejected": -2.0833022594451904,
1344
+ "step": 440
1345
+ },
1346
+ {
1347
+ "epoch": 0.8882235528942116,
1348
+ "grad_norm": 4.956615120474398,
1349
+ "learning_rate": 1.1318094958153047e-08,
1350
+ "logits/chosen": -0.9180776476860046,
1351
+ "logits/rejected": -0.8899502754211426,
1352
+ "logps/chosen": -371.7776794433594,
1353
+ "logps/rejected": -428.5679626464844,
1354
+ "loss": 0.5901,
1355
+ "rewards/accuracies": 0.7250000238418579,
1356
+ "rewards/chosen": -1.327950119972229,
1357
+ "rewards/margins": 0.3467249274253845,
1358
+ "rewards/rejected": -1.6746749877929688,
1359
+ "step": 445
1360
+ },
1361
+ {
1362
+ "epoch": 0.8982035928143712,
1363
+ "grad_norm": 4.788171459453746,
1364
+ "learning_rate": 9.40770157621628e-09,
1365
+ "logits/chosen": -0.7842416167259216,
1366
+ "logits/rejected": -0.7082861661911011,
1367
+ "logps/chosen": -417.77520751953125,
1368
+ "logps/rejected": -457.5712890625,
1369
+ "loss": 0.5593,
1370
+ "rewards/accuracies": 0.7124999761581421,
1371
+ "rewards/chosen": -1.3801639080047607,
1372
+ "rewards/margins": 0.37675610184669495,
1373
+ "rewards/rejected": -1.7569200992584229,
1374
+ "step": 450
1375
+ },
1376
+ {
1377
+ "epoch": 0.908183632734531,
1378
+ "grad_norm": 4.581072227617621,
1379
+ "learning_rate": 7.66859825332552e-09,
1380
+ "logits/chosen": -0.80731201171875,
1381
+ "logits/rejected": -0.7170153856277466,
1382
+ "logps/chosen": -426.0374450683594,
1383
+ "logps/rejected": -491.17724609375,
1384
+ "loss": 0.5684,
1385
+ "rewards/accuracies": 0.762499988079071,
1386
+ "rewards/chosen": -1.4778865575790405,
1387
+ "rewards/margins": 0.48648372292518616,
1388
+ "rewards/rejected": -1.9643701314926147,
1389
+ "step": 455
1390
+ },
1391
+ {
1392
+ "epoch": 0.9181636726546906,
1393
+ "grad_norm": 5.211747811331229,
1394
+ "learning_rate": 6.102903818991373e-09,
1395
+ "logits/chosen": -0.7492889761924744,
1396
+ "logits/rejected": -0.692005455493927,
1397
+ "logps/chosen": -408.1048583984375,
1398
+ "logps/rejected": -465.81072998046875,
1399
+ "loss": 0.5508,
1400
+ "rewards/accuracies": 0.7124999761581421,
1401
+ "rewards/chosen": -1.4337399005889893,
1402
+ "rewards/margins": 0.4602373242378235,
1403
+ "rewards/rejected": -1.893977165222168,
1404
+ "step": 460
1405
+ },
1406
+ {
1407
+ "epoch": 0.9281437125748503,
1408
+ "grad_norm": 4.735277022639165,
1409
+ "learning_rate": 4.712525830705338e-09,
1410
+ "logits/chosen": -0.7876361012458801,
1411
+ "logits/rejected": -0.7164231538772583,
1412
+ "logps/chosen": -456.64654541015625,
1413
+ "logps/rejected": -530.7649536132812,
1414
+ "loss": 0.5495,
1415
+ "rewards/accuracies": 0.8374999761581421,
1416
+ "rewards/chosen": -1.4868801832199097,
1417
+ "rewards/margins": 0.5220947265625,
1418
+ "rewards/rejected": -2.00897479057312,
1419
+ "step": 465
1420
+ },
1421
+ {
1422
+ "epoch": 0.93812375249501,
1423
+ "grad_norm": 5.092880826292085,
1424
+ "learning_rate": 3.4991582498748116e-09,
1425
+ "logits/chosen": -0.7580504417419434,
1426
+ "logits/rejected": -0.7435745000839233,
1427
+ "logps/chosen": -418.53643798828125,
1428
+ "logps/rejected": -443.73016357421875,
1429
+ "loss": 0.5562,
1430
+ "rewards/accuracies": 0.6875,
1431
+ "rewards/chosen": -1.392344355583191,
1432
+ "rewards/margins": 0.26586177945137024,
1433
+ "rewards/rejected": -1.6582062244415283,
1434
+ "step": 470
1435
+ },
1436
+ {
1437
+ "epoch": 0.9481037924151696,
1438
+ "grad_norm": 4.985840092185972,
1439
+ "learning_rate": 2.464279377992129e-09,
1440
+ "logits/chosen": -0.7668736577033997,
1441
+ "logits/rejected": -0.7452988624572754,
1442
+ "logps/chosen": -466.7787170410156,
1443
+ "logps/rejected": -506.02178955078125,
1444
+ "loss": 0.5624,
1445
+ "rewards/accuracies": 0.737500011920929,
1446
+ "rewards/chosen": -1.6175203323364258,
1447
+ "rewards/margins": 0.31748542189598083,
1448
+ "rewards/rejected": -1.9350059032440186,
1449
+ "step": 475
1450
+ },
1451
+ {
1452
+ "epoch": 0.9580838323353293,
1453
+ "grad_norm": 4.967479585965563,
1454
+ "learning_rate": 1.60915005555175e-09,
1455
+ "logits/chosen": -0.8129042387008667,
1456
+ "logits/rejected": -0.739594578742981,
1457
+ "logps/chosen": -447.076171875,
1458
+ "logps/rejected": -484.808349609375,
1459
+ "loss": 0.5671,
1460
+ "rewards/accuracies": 0.824999988079071,
1461
+ "rewards/chosen": -1.4572417736053467,
1462
+ "rewards/margins": 0.46610623598098755,
1463
+ "rewards/rejected": -1.9233481884002686,
1464
+ "step": 480
1465
+ },
1466
+ {
1467
+ "epoch": 0.9680638722554891,
1468
+ "grad_norm": 5.96217808704067,
1469
+ "learning_rate": 9.348121259105446e-10,
1470
+ "logits/chosen": -0.7033708691596985,
1471
+ "logits/rejected": -0.6699236035346985,
1472
+ "logps/chosen": -417.16009521484375,
1473
+ "logps/rejected": -451.69482421875,
1474
+ "loss": 0.5803,
1475
+ "rewards/accuracies": 0.7749999761581421,
1476
+ "rewards/chosen": -1.3706567287445068,
1477
+ "rewards/margins": 0.40733280777931213,
1478
+ "rewards/rejected": -1.777989387512207,
1479
+ "step": 485
1480
+ },
1481
+ {
1482
+ "epoch": 0.9780439121756487,
1483
+ "grad_norm": 5.734111733284475,
1484
+ "learning_rate": 4.4208716596196293e-10,
1485
+ "logits/chosen": -0.6810269951820374,
1486
+ "logits/rejected": -0.6299699544906616,
1487
+ "logps/chosen": -417.22967529296875,
1488
+ "logps/rejected": -446.90447998046875,
1489
+ "loss": 0.5733,
1490
+ "rewards/accuracies": 0.75,
1491
+ "rewards/chosen": -1.4043614864349365,
1492
+ "rewards/margins": 0.3416087031364441,
1493
+ "rewards/rejected": -1.745970368385315,
1494
+ "step": 490
1495
+ },
1496
+ {
1497
+ "epoch": 0.9880239520958084,
1498
+ "grad_norm": 4.812399430304323,
1499
+ "learning_rate": 1.3157548517124251e-10,
1500
+ "logits/chosen": -0.7450631260871887,
1501
+ "logits/rejected": -0.7431787252426147,
1502
+ "logps/chosen": -416.9190979003906,
1503
+ "logps/rejected": -472.78607177734375,
1504
+ "loss": 0.5482,
1505
+ "rewards/accuracies": 0.8125,
1506
+ "rewards/chosen": -1.3006139993667603,
1507
+ "rewards/margins": 0.49053430557250977,
1508
+ "rewards/rejected": -1.7911481857299805,
1509
+ "step": 495
1510
+ },
1511
+ {
1512
+ "epoch": 0.998003992015968,
1513
+ "grad_norm": 4.968518024512937,
1514
+ "learning_rate": 3.6553941907879745e-12,
1515
+ "logits/chosen": -0.765219509601593,
1516
+ "logits/rejected": -0.7625989317893982,
1517
+ "logps/chosen": -421.33843994140625,
1518
+ "logps/rejected": -453.9501037597656,
1519
+ "loss": 0.5756,
1520
+ "rewards/accuracies": 0.699999988079071,
1521
+ "rewards/chosen": -1.4310005903244019,
1522
+ "rewards/margins": 0.3257448077201843,
1523
+ "rewards/rejected": -1.7567455768585205,
1524
+ "step": 500
1525
+ }
1526
+ ],
1527
+ "logging_steps": 5,
1528
+ "max_steps": 501,
1529
+ "num_input_tokens_seen": 0,
1530
+ "num_train_epochs": 1,
1531
+ "save_steps": 101,
1532
+ "stateful_callbacks": {
1533
+ "TrainerControl": {
1534
+ "args": {
1535
+ "should_epoch_stop": false,
1536
+ "should_evaluate": false,
1537
+ "should_log": false,
1538
+ "should_save": true,
1539
+ "should_training_stop": true
1540
+ },
1541
+ "attributes": {}
1542
+ }
1543
+ },
1544
+ "total_flos": 0.0,
1545
+ "train_batch_size": 2,
1546
+ "trial_name": null,
1547
+ "trial_params": null
1548
+ }
checkpoint-501/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d2062bff810c3be97f9dc215093b5dad2b48711e0862036888bf785c22f9a23
3
+ size 7544
checkpoint-501/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/GLOBALFS/gznwp_3/qxj/lgzhong/LLaMA-Factory/saves/Qwen2.5-7B-Instruct-SFT-v1.5",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.43.4",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 152064
28
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.43.4"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff