atsuki-yamaguchi commited on
Commit
7277b93
·
verified ·
1 Parent(s): 5ccdc84

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. checkpoint-15260/config.json +29 -0
  3. checkpoint-15260/generation_config.json +6 -0
  4. checkpoint-15260/model-00001-of-00007.safetensors +3 -0
  5. checkpoint-15260/model-00002-of-00007.safetensors +3 -0
  6. checkpoint-15260/model-00003-of-00007.safetensors +3 -0
  7. checkpoint-15260/model-00004-of-00007.safetensors +3 -0
  8. checkpoint-15260/model-00005-of-00007.safetensors +3 -0
  9. checkpoint-15260/model-00006-of-00007.safetensors +3 -0
  10. checkpoint-15260/model-00007-of-00007.safetensors +3 -0
  11. checkpoint-15260/model.safetensors.index.json +346 -0
  12. checkpoint-15260/optimizer.pt +3 -0
  13. checkpoint-15260/rng_state.pth +3 -0
  14. checkpoint-15260/scheduler.pt +3 -0
  15. checkpoint-15260/trainer_state.json +3477 -0
  16. checkpoint-15260/training_args.bin +3 -0
  17. checkpoint-22890/config.json +29 -0
  18. checkpoint-22890/generation_config.json +6 -0
  19. checkpoint-22890/model-00001-of-00007.safetensors +3 -0
  20. checkpoint-22890/model-00002-of-00007.safetensors +3 -0
  21. checkpoint-22890/model-00003-of-00007.safetensors +3 -0
  22. checkpoint-22890/model-00004-of-00007.safetensors +3 -0
  23. checkpoint-22890/model-00005-of-00007.safetensors +3 -0
  24. checkpoint-22890/model-00006-of-00007.safetensors +3 -0
  25. checkpoint-22890/model-00007-of-00007.safetensors +3 -0
  26. checkpoint-22890/model.safetensors.index.json +346 -0
  27. checkpoint-22890/optimizer.pt +3 -0
  28. checkpoint-22890/rng_state.pth +3 -0
  29. checkpoint-22890/scheduler.pt +3 -0
  30. checkpoint-22890/trainer_state.json +0 -0
  31. checkpoint-22890/training_args.bin +3 -0
  32. checkpoint-30517/config.json +29 -0
  33. checkpoint-30517/generation_config.json +6 -0
  34. checkpoint-30517/model-00001-of-00007.safetensors +3 -0
  35. checkpoint-30517/model-00002-of-00007.safetensors +3 -0
  36. checkpoint-30517/model-00003-of-00007.safetensors +3 -0
  37. checkpoint-30517/model-00004-of-00007.safetensors +3 -0
  38. checkpoint-30517/model-00005-of-00007.safetensors +3 -0
  39. checkpoint-30517/model-00006-of-00007.safetensors +3 -0
  40. checkpoint-30517/model-00007-of-00007.safetensors +3 -0
  41. checkpoint-30517/model.safetensors.index.json +346 -0
  42. checkpoint-30517/optimizer.pt +3 -0
  43. checkpoint-30517/rng_state.pth +3 -0
  44. checkpoint-30517/scheduler.pt +3 -0
  45. checkpoint-30517/trainer_state.json +0 -0
  46. checkpoint-30517/training_args.bin +3 -0
  47. config.json +29 -0
  48. generation_config.json +6 -0
  49. merges.txt +0 -0
  50. model-00001-of-00007.safetensors +3 -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
+ }
checkpoint-15260/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 131072,
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": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_mrope": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
checkpoint-15260/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.44.0.dev0"
6
+ }
checkpoint-15260/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8d0bba72f6cce0f59d7b80ada646efcd18941ce64d10d6fac484e321dc4bc41
3
+ size 4976687216
checkpoint-15260/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faab92c079dee70573da2aa38bf83c1a2a2858fbee7104c30f77e30eb62ed67f
3
+ size 4778622352
checkpoint-15260/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d579560f2723d4a62b22ef6ec0d935dfbc2ddf0f14fc9efeac83bf5b586bf9d6
3
+ size 4932743960
checkpoint-15260/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:089cf99962fd351ceb590220ea351f1d18937b35376077982b276416f768317a
3
+ size 4932743992
checkpoint-15260/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b61bee4a8b5e41f744ec0820def58c39c0c333e6787b7e24146468348f082a0
3
+ size 4998852296
checkpoint-15260/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ea7e5ad73a68ac3aa30a5692a531e642396a2870664e3933473c16ccd666cb6
3
+ size 3662865184
checkpoint-15260/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2522331f1b0ed7b030b7069d1d861e9b84f95ae4c15dd324d2f051ef19e91f7
3
+ size 2179989632
checkpoint-15260/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30462466048
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-15260/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67239b090db9514d0762098cbe7b7259fcedabf09571cc124c2964273553b75d
3
+ size 16177880918
checkpoint-15260/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-15260/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ce335347efaebf038b8915bc0a8d2d587a4a1aa08ad0e015b4bc7cc4fba634e
3
+ size 1064
checkpoint-15260/trainer_state.json ADDED
@@ -0,0 +1,3477 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.250336297122609,
5
+ "eval_steps": 500,
6
+ "global_step": 15260,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0005085468683355753,
13
+ "grad_norm": 1.63396155834198,
14
+ "learning_rate": 1.0157273918741808e-06,
15
+ "loss": 1.1247,
16
+ "step": 31
17
+ },
18
+ {
19
+ "epoch": 0.0010170937366711507,
20
+ "grad_norm": 1.4367411136627197,
21
+ "learning_rate": 2.0314547837483616e-06,
22
+ "loss": 1.0996,
23
+ "step": 62
24
+ },
25
+ {
26
+ "epoch": 0.001525640605006726,
27
+ "grad_norm": 1.6043877601623535,
28
+ "learning_rate": 3.0471821756225426e-06,
29
+ "loss": 1.077,
30
+ "step": 93
31
+ },
32
+ {
33
+ "epoch": 0.0020341874733423014,
34
+ "grad_norm": 1.5942660570144653,
35
+ "learning_rate": 4.062909567496723e-06,
36
+ "loss": 1.0578,
37
+ "step": 124
38
+ },
39
+ {
40
+ "epoch": 0.0025427343416778766,
41
+ "grad_norm": 1.5336261987686157,
42
+ "learning_rate": 5.078636959370905e-06,
43
+ "loss": 1.0565,
44
+ "step": 155
45
+ },
46
+ {
47
+ "epoch": 0.003051281210013452,
48
+ "grad_norm": 1.4558008909225464,
49
+ "learning_rate": 6.094364351245085e-06,
50
+ "loss": 1.05,
51
+ "step": 186
52
+ },
53
+ {
54
+ "epoch": 0.003559828078349027,
55
+ "grad_norm": 1.5234432220458984,
56
+ "learning_rate": 7.110091743119267e-06,
57
+ "loss": 1.02,
58
+ "step": 217
59
+ },
60
+ {
61
+ "epoch": 0.004068374946684603,
62
+ "grad_norm": 1.5161484479904175,
63
+ "learning_rate": 8.125819134993446e-06,
64
+ "loss": 1.0395,
65
+ "step": 248
66
+ },
67
+ {
68
+ "epoch": 0.0045769218150201775,
69
+ "grad_norm": 1.5559700727462769,
70
+ "learning_rate": 9.141546526867629e-06,
71
+ "loss": 1.022,
72
+ "step": 279
73
+ },
74
+ {
75
+ "epoch": 0.005085468683355753,
76
+ "grad_norm": 1.5957224369049072,
77
+ "learning_rate": 1.015727391874181e-05,
78
+ "loss": 1.0274,
79
+ "step": 310
80
+ },
81
+ {
82
+ "epoch": 0.005594015551691329,
83
+ "grad_norm": 1.7991306781768799,
84
+ "learning_rate": 1.117300131061599e-05,
85
+ "loss": 1.0165,
86
+ "step": 341
87
+ },
88
+ {
89
+ "epoch": 0.006102562420026904,
90
+ "grad_norm": 1.5399068593978882,
91
+ "learning_rate": 1.218872870249017e-05,
92
+ "loss": 1.0147,
93
+ "step": 372
94
+ },
95
+ {
96
+ "epoch": 0.006611109288362479,
97
+ "grad_norm": 1.6368353366851807,
98
+ "learning_rate": 1.3204456094364351e-05,
99
+ "loss": 1.0279,
100
+ "step": 403
101
+ },
102
+ {
103
+ "epoch": 0.007119656156698054,
104
+ "grad_norm": 1.8204905986785889,
105
+ "learning_rate": 1.4220183486238533e-05,
106
+ "loss": 1.0059,
107
+ "step": 434
108
+ },
109
+ {
110
+ "epoch": 0.00762820302503363,
111
+ "grad_norm": 1.5241609811782837,
112
+ "learning_rate": 1.5235910878112714e-05,
113
+ "loss": 1.0033,
114
+ "step": 465
115
+ },
116
+ {
117
+ "epoch": 0.008136749893369205,
118
+ "grad_norm": 1.724233865737915,
119
+ "learning_rate": 1.6251638269986893e-05,
120
+ "loss": 1.0042,
121
+ "step": 496
122
+ },
123
+ {
124
+ "epoch": 0.008645296761704781,
125
+ "grad_norm": 1.6719369888305664,
126
+ "learning_rate": 1.7267365661861077e-05,
127
+ "loss": 1.0024,
128
+ "step": 527
129
+ },
130
+ {
131
+ "epoch": 0.009153843630040355,
132
+ "grad_norm": 1.5160149335861206,
133
+ "learning_rate": 1.8283093053735257e-05,
134
+ "loss": 1.0037,
135
+ "step": 558
136
+ },
137
+ {
138
+ "epoch": 0.00966239049837593,
139
+ "grad_norm": 1.6364191770553589,
140
+ "learning_rate": 1.9298820445609438e-05,
141
+ "loss": 0.9964,
142
+ "step": 589
143
+ },
144
+ {
145
+ "epoch": 0.010170937366711506,
146
+ "grad_norm": 1.6187313795089722,
147
+ "learning_rate": 2.031454783748362e-05,
148
+ "loss": 0.9883,
149
+ "step": 620
150
+ },
151
+ {
152
+ "epoch": 0.010679484235047082,
153
+ "grad_norm": 1.5778186321258545,
154
+ "learning_rate": 2.13302752293578e-05,
155
+ "loss": 0.9923,
156
+ "step": 651
157
+ },
158
+ {
159
+ "epoch": 0.011188031103382658,
160
+ "grad_norm": 1.7242299318313599,
161
+ "learning_rate": 2.234600262123198e-05,
162
+ "loss": 0.9809,
163
+ "step": 682
164
+ },
165
+ {
166
+ "epoch": 0.011696577971718232,
167
+ "grad_norm": 1.5848108530044556,
168
+ "learning_rate": 2.336173001310616e-05,
169
+ "loss": 0.9885,
170
+ "step": 713
171
+ },
172
+ {
173
+ "epoch": 0.012205124840053807,
174
+ "grad_norm": 1.5478544235229492,
175
+ "learning_rate": 2.437745740498034e-05,
176
+ "loss": 0.9893,
177
+ "step": 744
178
+ },
179
+ {
180
+ "epoch": 0.012713671708389383,
181
+ "grad_norm": 1.4508167505264282,
182
+ "learning_rate": 2.5393184796854525e-05,
183
+ "loss": 0.9843,
184
+ "step": 775
185
+ },
186
+ {
187
+ "epoch": 0.013222218576724959,
188
+ "grad_norm": 1.3082153797149658,
189
+ "learning_rate": 2.6408912188728702e-05,
190
+ "loss": 0.9858,
191
+ "step": 806
192
+ },
193
+ {
194
+ "epoch": 0.013730765445060534,
195
+ "grad_norm": 1.8803132772445679,
196
+ "learning_rate": 2.7424639580602886e-05,
197
+ "loss": 0.9835,
198
+ "step": 837
199
+ },
200
+ {
201
+ "epoch": 0.014239312313396108,
202
+ "grad_norm": 1.439850926399231,
203
+ "learning_rate": 2.8440366972477066e-05,
204
+ "loss": 0.978,
205
+ "step": 868
206
+ },
207
+ {
208
+ "epoch": 0.014747859181731684,
209
+ "grad_norm": 1.5672752857208252,
210
+ "learning_rate": 2.9456094364351244e-05,
211
+ "loss": 0.9775,
212
+ "step": 899
213
+ },
214
+ {
215
+ "epoch": 0.01525640605006726,
216
+ "grad_norm": 1.4297682046890259,
217
+ "learning_rate": 3.0471821756225428e-05,
218
+ "loss": 0.9833,
219
+ "step": 930
220
+ },
221
+ {
222
+ "epoch": 0.015764952918402835,
223
+ "grad_norm": 1.6737698316574097,
224
+ "learning_rate": 3.148754914809961e-05,
225
+ "loss": 0.9738,
226
+ "step": 961
227
+ },
228
+ {
229
+ "epoch": 0.01627349978673841,
230
+ "grad_norm": 1.5833110809326172,
231
+ "learning_rate": 3.2503276539973785e-05,
232
+ "loss": 0.9701,
233
+ "step": 992
234
+ },
235
+ {
236
+ "epoch": 0.016782046655073986,
237
+ "grad_norm": 1.3715567588806152,
238
+ "learning_rate": 3.351900393184797e-05,
239
+ "loss": 0.9697,
240
+ "step": 1023
241
+ },
242
+ {
243
+ "epoch": 0.017290593523409562,
244
+ "grad_norm": 1.5785913467407227,
245
+ "learning_rate": 3.453473132372215e-05,
246
+ "loss": 0.9672,
247
+ "step": 1054
248
+ },
249
+ {
250
+ "epoch": 0.017799140391745134,
251
+ "grad_norm": 1.4025524854660034,
252
+ "learning_rate": 3.555045871559633e-05,
253
+ "loss": 0.9663,
254
+ "step": 1085
255
+ },
256
+ {
257
+ "epoch": 0.01830768726008071,
258
+ "grad_norm": 1.395158290863037,
259
+ "learning_rate": 3.6566186107470514e-05,
260
+ "loss": 0.965,
261
+ "step": 1116
262
+ },
263
+ {
264
+ "epoch": 0.018816234128416286,
265
+ "grad_norm": 1.4200639724731445,
266
+ "learning_rate": 3.7581913499344695e-05,
267
+ "loss": 0.9572,
268
+ "step": 1147
269
+ },
270
+ {
271
+ "epoch": 0.01932478099675186,
272
+ "grad_norm": 1.52960205078125,
273
+ "learning_rate": 3.8597640891218876e-05,
274
+ "loss": 0.9512,
275
+ "step": 1178
276
+ },
277
+ {
278
+ "epoch": 0.019833327865087437,
279
+ "grad_norm": 1.1526886224746704,
280
+ "learning_rate": 3.9613368283093056e-05,
281
+ "loss": 0.9601,
282
+ "step": 1209
283
+ },
284
+ {
285
+ "epoch": 0.020341874733423013,
286
+ "grad_norm": 1.2839049100875854,
287
+ "learning_rate": 4.062909567496724e-05,
288
+ "loss": 0.9613,
289
+ "step": 1240
290
+ },
291
+ {
292
+ "epoch": 0.02085042160175859,
293
+ "grad_norm": 1.4190101623535156,
294
+ "learning_rate": 4.164482306684142e-05,
295
+ "loss": 0.9685,
296
+ "step": 1271
297
+ },
298
+ {
299
+ "epoch": 0.021358968470094164,
300
+ "grad_norm": 1.146508812904358,
301
+ "learning_rate": 4.26605504587156e-05,
302
+ "loss": 0.9675,
303
+ "step": 1302
304
+ },
305
+ {
306
+ "epoch": 0.02186751533842974,
307
+ "grad_norm": 1.3196191787719727,
308
+ "learning_rate": 4.367627785058978e-05,
309
+ "loss": 0.9544,
310
+ "step": 1333
311
+ },
312
+ {
313
+ "epoch": 0.022376062206765315,
314
+ "grad_norm": 1.4939711093902588,
315
+ "learning_rate": 4.469200524246396e-05,
316
+ "loss": 0.9546,
317
+ "step": 1364
318
+ },
319
+ {
320
+ "epoch": 0.022884609075100888,
321
+ "grad_norm": 1.3225727081298828,
322
+ "learning_rate": 4.570773263433814e-05,
323
+ "loss": 0.9603,
324
+ "step": 1395
325
+ },
326
+ {
327
+ "epoch": 0.023393155943436463,
328
+ "grad_norm": 1.3572574853897095,
329
+ "learning_rate": 4.672346002621232e-05,
330
+ "loss": 0.9535,
331
+ "step": 1426
332
+ },
333
+ {
334
+ "epoch": 0.02390170281177204,
335
+ "grad_norm": 1.6103112697601318,
336
+ "learning_rate": 4.77391874180865e-05,
337
+ "loss": 0.9596,
338
+ "step": 1457
339
+ },
340
+ {
341
+ "epoch": 0.024410249680107615,
342
+ "grad_norm": 1.2908817529678345,
343
+ "learning_rate": 4.875491480996068e-05,
344
+ "loss": 0.9414,
345
+ "step": 1488
346
+ },
347
+ {
348
+ "epoch": 0.02491879654844319,
349
+ "grad_norm": 1.4638068675994873,
350
+ "learning_rate": 4.977064220183487e-05,
351
+ "loss": 0.9554,
352
+ "step": 1519
353
+ },
354
+ {
355
+ "epoch": 0.025427343416778766,
356
+ "grad_norm": 1.073677897453308,
357
+ "learning_rate": 4.9999915451558777e-05,
358
+ "loss": 0.9424,
359
+ "step": 1550
360
+ },
361
+ {
362
+ "epoch": 0.02593589028511434,
363
+ "grad_norm": 1.3571419715881348,
364
+ "learning_rate": 4.999955597496219e-05,
365
+ "loss": 0.9397,
366
+ "step": 1581
367
+ },
368
+ {
369
+ "epoch": 0.026444437153449917,
370
+ "grad_norm": 1.3831264972686768,
371
+ "learning_rate": 4.9998914381774255e-05,
372
+ "loss": 0.9403,
373
+ "step": 1612
374
+ },
375
+ {
376
+ "epoch": 0.026952984021785493,
377
+ "grad_norm": 1.3410816192626953,
378
+ "learning_rate": 4.999799067923527e-05,
379
+ "loss": 0.939,
380
+ "step": 1643
381
+ },
382
+ {
383
+ "epoch": 0.02746153089012107,
384
+ "grad_norm": 1.507271647453308,
385
+ "learning_rate": 4.999678487776908e-05,
386
+ "loss": 0.9543,
387
+ "step": 1674
388
+ },
389
+ {
390
+ "epoch": 0.02797007775845664,
391
+ "grad_norm": 1.2476454973220825,
392
+ "learning_rate": 4.9995296990983006e-05,
393
+ "loss": 0.9391,
394
+ "step": 1705
395
+ },
396
+ {
397
+ "epoch": 0.028478624626792216,
398
+ "grad_norm": 1.167040228843689,
399
+ "learning_rate": 4.999352703566763e-05,
400
+ "loss": 0.9497,
401
+ "step": 1736
402
+ },
403
+ {
404
+ "epoch": 0.028987171495127792,
405
+ "grad_norm": 1.2364312410354614,
406
+ "learning_rate": 4.999147503179668e-05,
407
+ "loss": 0.9475,
408
+ "step": 1767
409
+ },
410
+ {
411
+ "epoch": 0.029495718363463368,
412
+ "grad_norm": 1.216690182685852,
413
+ "learning_rate": 4.998914100252672e-05,
414
+ "loss": 0.9279,
415
+ "step": 1798
416
+ },
417
+ {
418
+ "epoch": 0.030004265231798943,
419
+ "grad_norm": 1.1088354587554932,
420
+ "learning_rate": 4.998652497419696e-05,
421
+ "loss": 0.9402,
422
+ "step": 1829
423
+ },
424
+ {
425
+ "epoch": 0.03051281210013452,
426
+ "grad_norm": 1.261315107345581,
427
+ "learning_rate": 4.9983626976328927e-05,
428
+ "loss": 0.9295,
429
+ "step": 1860
430
+ },
431
+ {
432
+ "epoch": 0.031021358968470095,
433
+ "grad_norm": 1.0668714046478271,
434
+ "learning_rate": 4.998044704162613e-05,
435
+ "loss": 0.9341,
436
+ "step": 1891
437
+ },
438
+ {
439
+ "epoch": 0.03152990583680567,
440
+ "grad_norm": 1.2189582586288452,
441
+ "learning_rate": 4.9976985205973705e-05,
442
+ "loss": 0.9257,
443
+ "step": 1922
444
+ },
445
+ {
446
+ "epoch": 0.032038452705141246,
447
+ "grad_norm": 1.318808913230896,
448
+ "learning_rate": 4.997324150843799e-05,
449
+ "loss": 0.9243,
450
+ "step": 1953
451
+ },
452
+ {
453
+ "epoch": 0.03254699957347682,
454
+ "grad_norm": 1.0546144247055054,
455
+ "learning_rate": 4.99692159912661e-05,
456
+ "loss": 0.9223,
457
+ "step": 1984
458
+ },
459
+ {
460
+ "epoch": 0.0330555464418124,
461
+ "grad_norm": 1.2096277475357056,
462
+ "learning_rate": 4.996490869988546e-05,
463
+ "loss": 0.9232,
464
+ "step": 2015
465
+ },
466
+ {
467
+ "epoch": 0.03356409331014797,
468
+ "grad_norm": 1.1482577323913574,
469
+ "learning_rate": 4.996031968290326e-05,
470
+ "loss": 0.9218,
471
+ "step": 2046
472
+ },
473
+ {
474
+ "epoch": 0.03407264017848355,
475
+ "grad_norm": 1.1718021631240845,
476
+ "learning_rate": 4.995544899210594e-05,
477
+ "loss": 0.9292,
478
+ "step": 2077
479
+ },
480
+ {
481
+ "epoch": 0.034581187046819124,
482
+ "grad_norm": 1.2143489122390747,
483
+ "learning_rate": 4.9950296682458583e-05,
484
+ "loss": 0.9255,
485
+ "step": 2108
486
+ },
487
+ {
488
+ "epoch": 0.0350897339151547,
489
+ "grad_norm": 1.1793973445892334,
490
+ "learning_rate": 4.994486281210429e-05,
491
+ "loss": 0.9281,
492
+ "step": 2139
493
+ },
494
+ {
495
+ "epoch": 0.03559828078349027,
496
+ "grad_norm": 1.1510167121887207,
497
+ "learning_rate": 4.9939147442363566e-05,
498
+ "loss": 0.9226,
499
+ "step": 2170
500
+ },
501
+ {
502
+ "epoch": 0.036106827651825844,
503
+ "grad_norm": 1.4281586408615112,
504
+ "learning_rate": 4.9933150637733574e-05,
505
+ "loss": 0.9446,
506
+ "step": 2201
507
+ },
508
+ {
509
+ "epoch": 0.03661537452016142,
510
+ "grad_norm": 1.2391124963760376,
511
+ "learning_rate": 4.992687246588743e-05,
512
+ "loss": 0.9255,
513
+ "step": 2232
514
+ },
515
+ {
516
+ "epoch": 0.037123921388496996,
517
+ "grad_norm": 1.3725296258926392,
518
+ "learning_rate": 4.992031299767347e-05,
519
+ "loss": 0.9303,
520
+ "step": 2263
521
+ },
522
+ {
523
+ "epoch": 0.03763246825683257,
524
+ "grad_norm": 1.009924292564392,
525
+ "learning_rate": 4.9913472307114386e-05,
526
+ "loss": 0.9282,
527
+ "step": 2294
528
+ },
529
+ {
530
+ "epoch": 0.03814101512516815,
531
+ "grad_norm": 1.247854232788086,
532
+ "learning_rate": 4.9906350471406446e-05,
533
+ "loss": 0.9456,
534
+ "step": 2325
535
+ },
536
+ {
537
+ "epoch": 0.03864956199350372,
538
+ "grad_norm": 1.237513780593872,
539
+ "learning_rate": 4.989894757091861e-05,
540
+ "loss": 0.9494,
541
+ "step": 2356
542
+ },
543
+ {
544
+ "epoch": 0.0391581088618393,
545
+ "grad_norm": 1.432076334953308,
546
+ "learning_rate": 4.989126368919158e-05,
547
+ "loss": 0.9448,
548
+ "step": 2387
549
+ },
550
+ {
551
+ "epoch": 0.039666655730174874,
552
+ "grad_norm": 1.1404424905776978,
553
+ "learning_rate": 4.988329891293693e-05,
554
+ "loss": 0.9274,
555
+ "step": 2418
556
+ },
557
+ {
558
+ "epoch": 0.04017520259851045,
559
+ "grad_norm": 1.3402444124221802,
560
+ "learning_rate": 4.987505333203608e-05,
561
+ "loss": 0.9305,
562
+ "step": 2449
563
+ },
564
+ {
565
+ "epoch": 0.040683749466846025,
566
+ "grad_norm": 1.5265156030654907,
567
+ "learning_rate": 4.9866527039539276e-05,
568
+ "loss": 0.9306,
569
+ "step": 2480
570
+ },
571
+ {
572
+ "epoch": 0.0411922963351816,
573
+ "grad_norm": 1.2100895643234253,
574
+ "learning_rate": 4.9857720131664594e-05,
575
+ "loss": 0.9234,
576
+ "step": 2511
577
+ },
578
+ {
579
+ "epoch": 0.04170084320351718,
580
+ "grad_norm": 1.294089674949646,
581
+ "learning_rate": 4.9848632707796773e-05,
582
+ "loss": 0.9217,
583
+ "step": 2542
584
+ },
585
+ {
586
+ "epoch": 0.04220939007185275,
587
+ "grad_norm": 1.159820556640625,
588
+ "learning_rate": 4.9839264870486155e-05,
589
+ "loss": 0.9122,
590
+ "step": 2573
591
+ },
592
+ {
593
+ "epoch": 0.04271793694018833,
594
+ "grad_norm": 1.366947054862976,
595
+ "learning_rate": 4.9829616725447526e-05,
596
+ "loss": 0.9248,
597
+ "step": 2604
598
+ },
599
+ {
600
+ "epoch": 0.043226483808523904,
601
+ "grad_norm": 1.3544247150421143,
602
+ "learning_rate": 4.981968838155888e-05,
603
+ "loss": 0.9096,
604
+ "step": 2635
605
+ },
606
+ {
607
+ "epoch": 0.04373503067685948,
608
+ "grad_norm": 1.1079386472702026,
609
+ "learning_rate": 4.980947995086024e-05,
610
+ "loss": 0.9148,
611
+ "step": 2666
612
+ },
613
+ {
614
+ "epoch": 0.044243577545195055,
615
+ "grad_norm": 1.1194462776184082,
616
+ "learning_rate": 4.979899154855234e-05,
617
+ "loss": 0.9092,
618
+ "step": 2697
619
+ },
620
+ {
621
+ "epoch": 0.04475212441353063,
622
+ "grad_norm": 0.9909219741821289,
623
+ "learning_rate": 4.9788223292995386e-05,
624
+ "loss": 0.9063,
625
+ "step": 2728
626
+ },
627
+ {
628
+ "epoch": 0.045260671281866206,
629
+ "grad_norm": 1.0228219032287598,
630
+ "learning_rate": 4.977717530570768e-05,
631
+ "loss": 0.9055,
632
+ "step": 2759
633
+ },
634
+ {
635
+ "epoch": 0.045769218150201775,
636
+ "grad_norm": 1.0451685190200806,
637
+ "learning_rate": 4.976584771136425e-05,
638
+ "loss": 0.9043,
639
+ "step": 2790
640
+ },
641
+ {
642
+ "epoch": 0.04627776501853735,
643
+ "grad_norm": 1.0479145050048828,
644
+ "learning_rate": 4.975424063779547e-05,
645
+ "loss": 0.8982,
646
+ "step": 2821
647
+ },
648
+ {
649
+ "epoch": 0.046786311886872926,
650
+ "grad_norm": 0.9020496010780334,
651
+ "learning_rate": 4.974235421598557e-05,
652
+ "loss": 0.9177,
653
+ "step": 2852
654
+ },
655
+ {
656
+ "epoch": 0.0472948587552085,
657
+ "grad_norm": 1.1106877326965332,
658
+ "learning_rate": 4.973018858007122e-05,
659
+ "loss": 0.9038,
660
+ "step": 2883
661
+ },
662
+ {
663
+ "epoch": 0.04780340562354408,
664
+ "grad_norm": 1.1628150939941406,
665
+ "learning_rate": 4.9717743867339963e-05,
666
+ "loss": 0.9014,
667
+ "step": 2914
668
+ },
669
+ {
670
+ "epoch": 0.04831195249187965,
671
+ "grad_norm": 0.8586986064910889,
672
+ "learning_rate": 4.9705020218228695e-05,
673
+ "loss": 0.9084,
674
+ "step": 2945
675
+ },
676
+ {
677
+ "epoch": 0.04882049936021523,
678
+ "grad_norm": 1.1424506902694702,
679
+ "learning_rate": 4.969201777632205e-05,
680
+ "loss": 0.9097,
681
+ "step": 2976
682
+ },
683
+ {
684
+ "epoch": 0.049329046228550805,
685
+ "grad_norm": 1.049383521080017,
686
+ "learning_rate": 4.9678736688350846e-05,
687
+ "loss": 0.9101,
688
+ "step": 3007
689
+ },
690
+ {
691
+ "epoch": 0.04983759309688638,
692
+ "grad_norm": 1.0716655254364014,
693
+ "learning_rate": 4.966517710419033e-05,
694
+ "loss": 0.8942,
695
+ "step": 3038
696
+ },
697
+ {
698
+ "epoch": 0.050346139965221956,
699
+ "grad_norm": 1.2842979431152344,
700
+ "learning_rate": 4.965133917685858e-05,
701
+ "loss": 0.893,
702
+ "step": 3069
703
+ },
704
+ {
705
+ "epoch": 0.05085468683355753,
706
+ "grad_norm": 1.2429577112197876,
707
+ "learning_rate": 4.9637223062514714e-05,
708
+ "loss": 0.9048,
709
+ "step": 3100
710
+ },
711
+ {
712
+ "epoch": 0.05136323370189311,
713
+ "grad_norm": 1.1700332164764404,
714
+ "learning_rate": 4.962282892045718e-05,
715
+ "loss": 0.901,
716
+ "step": 3131
717
+ },
718
+ {
719
+ "epoch": 0.05187178057022868,
720
+ "grad_norm": 0.9648764133453369,
721
+ "learning_rate": 4.9608156913121904e-05,
722
+ "loss": 0.8952,
723
+ "step": 3162
724
+ },
725
+ {
726
+ "epoch": 0.05238032743856426,
727
+ "grad_norm": 0.9761034846305847,
728
+ "learning_rate": 4.959320720608049e-05,
729
+ "loss": 0.8986,
730
+ "step": 3193
731
+ },
732
+ {
733
+ "epoch": 0.052888874306899834,
734
+ "grad_norm": 1.5088787078857422,
735
+ "learning_rate": 4.9577979968038354e-05,
736
+ "loss": 0.8946,
737
+ "step": 3224
738
+ },
739
+ {
740
+ "epoch": 0.05339742117523541,
741
+ "grad_norm": 1.146229863166809,
742
+ "learning_rate": 4.956247537083282e-05,
743
+ "loss": 0.8974,
744
+ "step": 3255
745
+ },
746
+ {
747
+ "epoch": 0.053905968043570986,
748
+ "grad_norm": 1.002907395362854,
749
+ "learning_rate": 4.9546693589431145e-05,
750
+ "loss": 0.8899,
751
+ "step": 3286
752
+ },
753
+ {
754
+ "epoch": 0.05441451491190656,
755
+ "grad_norm": 1.2740410566329956,
756
+ "learning_rate": 4.9530634801928595e-05,
757
+ "loss": 0.9018,
758
+ "step": 3317
759
+ },
760
+ {
761
+ "epoch": 0.05492306178024214,
762
+ "grad_norm": 1.2674225568771362,
763
+ "learning_rate": 4.9514299189546395e-05,
764
+ "loss": 0.8887,
765
+ "step": 3348
766
+ },
767
+ {
768
+ "epoch": 0.05543160864857771,
769
+ "grad_norm": 1.0592577457427979,
770
+ "learning_rate": 4.949768693662973e-05,
771
+ "loss": 0.8913,
772
+ "step": 3379
773
+ },
774
+ {
775
+ "epoch": 0.05594015551691328,
776
+ "grad_norm": 1.102695345878601,
777
+ "learning_rate": 4.948079823064559e-05,
778
+ "loss": 0.9025,
779
+ "step": 3410
780
+ },
781
+ {
782
+ "epoch": 0.05644870238524886,
783
+ "grad_norm": 0.8819742798805237,
784
+ "learning_rate": 4.946363326218074e-05,
785
+ "loss": 0.9062,
786
+ "step": 3441
787
+ },
788
+ {
789
+ "epoch": 0.05695724925358443,
790
+ "grad_norm": 0.9267928600311279,
791
+ "learning_rate": 4.9446192224939525e-05,
792
+ "loss": 0.8853,
793
+ "step": 3472
794
+ },
795
+ {
796
+ "epoch": 0.05746579612192001,
797
+ "grad_norm": 1.0881078243255615,
798
+ "learning_rate": 4.942847531574167e-05,
799
+ "loss": 0.8845,
800
+ "step": 3503
801
+ },
802
+ {
803
+ "epoch": 0.057974342990255584,
804
+ "grad_norm": 1.3232954740524292,
805
+ "learning_rate": 4.941048273452008e-05,
806
+ "loss": 0.8968,
807
+ "step": 3534
808
+ },
809
+ {
810
+ "epoch": 0.05848288985859116,
811
+ "grad_norm": 4.223265171051025,
812
+ "learning_rate": 4.9392214684318605e-05,
813
+ "loss": 0.8826,
814
+ "step": 3565
815
+ },
816
+ {
817
+ "epoch": 0.058991436726926735,
818
+ "grad_norm": 1.0562529563903809,
819
+ "learning_rate": 4.93736713712897e-05,
820
+ "loss": 0.895,
821
+ "step": 3596
822
+ },
823
+ {
824
+ "epoch": 0.05949998359526231,
825
+ "grad_norm": 4.581043720245361,
826
+ "learning_rate": 4.9354853004692124e-05,
827
+ "loss": 0.8889,
828
+ "step": 3627
829
+ },
830
+ {
831
+ "epoch": 0.06000853046359789,
832
+ "grad_norm": 1.0798181295394897,
833
+ "learning_rate": 4.93357597968886e-05,
834
+ "loss": 0.8866,
835
+ "step": 3658
836
+ },
837
+ {
838
+ "epoch": 0.06051707733193346,
839
+ "grad_norm": 1.0834298133850098,
840
+ "learning_rate": 4.931639196334338e-05,
841
+ "loss": 0.8876,
842
+ "step": 3689
843
+ },
844
+ {
845
+ "epoch": 0.06102562420026904,
846
+ "grad_norm": 0.8777247071266174,
847
+ "learning_rate": 4.9296749722619826e-05,
848
+ "loss": 0.8923,
849
+ "step": 3720
850
+ },
851
+ {
852
+ "epoch": 0.061534171068604614,
853
+ "grad_norm": 0.9053150415420532,
854
+ "learning_rate": 4.9276833296377966e-05,
855
+ "loss": 0.8752,
856
+ "step": 3751
857
+ },
858
+ {
859
+ "epoch": 0.06204271793694019,
860
+ "grad_norm": 0.9765118956565857,
861
+ "learning_rate": 4.925664290937196e-05,
862
+ "loss": 0.8714,
863
+ "step": 3782
864
+ },
865
+ {
866
+ "epoch": 0.06255126480527576,
867
+ "grad_norm": 0.927383542060852,
868
+ "learning_rate": 4.9236178789447576e-05,
869
+ "loss": 0.882,
870
+ "step": 3813
871
+ },
872
+ {
873
+ "epoch": 0.06305981167361134,
874
+ "grad_norm": 1.1646597385406494,
875
+ "learning_rate": 4.921544116753962e-05,
876
+ "loss": 0.8811,
877
+ "step": 3844
878
+ },
879
+ {
880
+ "epoch": 0.06356835854194691,
881
+ "grad_norm": 0.9912064671516418,
882
+ "learning_rate": 4.919443027766935e-05,
883
+ "loss": 0.8807,
884
+ "step": 3875
885
+ },
886
+ {
887
+ "epoch": 0.06407690541028249,
888
+ "grad_norm": 1.114752173423767,
889
+ "learning_rate": 4.91731463569418e-05,
890
+ "loss": 0.8937,
891
+ "step": 3906
892
+ },
893
+ {
894
+ "epoch": 0.06458545227861806,
895
+ "grad_norm": 1.0039126873016357,
896
+ "learning_rate": 4.915158964554312e-05,
897
+ "loss": 0.8744,
898
+ "step": 3937
899
+ },
900
+ {
901
+ "epoch": 0.06509399914695364,
902
+ "grad_norm": 0.9225612878799438,
903
+ "learning_rate": 4.912976038673786e-05,
904
+ "loss": 0.8785,
905
+ "step": 3968
906
+ },
907
+ {
908
+ "epoch": 0.06560254601528921,
909
+ "grad_norm": 0.921144425868988,
910
+ "learning_rate": 4.9107658826866254e-05,
911
+ "loss": 0.8833,
912
+ "step": 3999
913
+ },
914
+ {
915
+ "epoch": 0.0661110928836248,
916
+ "grad_norm": 1.1225559711456299,
917
+ "learning_rate": 4.908528521534139e-05,
918
+ "loss": 0.8827,
919
+ "step": 4030
920
+ },
921
+ {
922
+ "epoch": 0.06661963975196036,
923
+ "grad_norm": 0.9798495173454285,
924
+ "learning_rate": 4.906263980464644e-05,
925
+ "loss": 0.8728,
926
+ "step": 4061
927
+ },
928
+ {
929
+ "epoch": 0.06712818662029595,
930
+ "grad_norm": 0.8692976236343384,
931
+ "learning_rate": 4.903972285033178e-05,
932
+ "loss": 0.8792,
933
+ "step": 4092
934
+ },
935
+ {
936
+ "epoch": 0.06763673348863151,
937
+ "grad_norm": 0.9348081350326538,
938
+ "learning_rate": 4.901653461101213e-05,
939
+ "loss": 0.875,
940
+ "step": 4123
941
+ },
942
+ {
943
+ "epoch": 0.0681452803569671,
944
+ "grad_norm": 0.8974121809005737,
945
+ "learning_rate": 4.8993075348363626e-05,
946
+ "loss": 0.8756,
947
+ "step": 4154
948
+ },
949
+ {
950
+ "epoch": 0.06865382722530267,
951
+ "grad_norm": 1.1337127685546875,
952
+ "learning_rate": 4.896934532712084e-05,
953
+ "loss": 0.8754,
954
+ "step": 4185
955
+ },
956
+ {
957
+ "epoch": 0.06916237409363825,
958
+ "grad_norm": 0.9736528396606445,
959
+ "learning_rate": 4.8945344815073846e-05,
960
+ "loss": 0.8691,
961
+ "step": 4216
962
+ },
963
+ {
964
+ "epoch": 0.06967092096197382,
965
+ "grad_norm": 1.0495686531066895,
966
+ "learning_rate": 4.892107408306516e-05,
967
+ "loss": 0.8845,
968
+ "step": 4247
969
+ },
970
+ {
971
+ "epoch": 0.0701794678303094,
972
+ "grad_norm": 1.0502818822860718,
973
+ "learning_rate": 4.889653340498669e-05,
974
+ "loss": 0.8831,
975
+ "step": 4278
976
+ },
977
+ {
978
+ "epoch": 0.07068801469864497,
979
+ "grad_norm": 0.9511426687240601,
980
+ "learning_rate": 4.8871723057776664e-05,
981
+ "loss": 0.8689,
982
+ "step": 4309
983
+ },
984
+ {
985
+ "epoch": 0.07119656156698054,
986
+ "grad_norm": 1.055638313293457,
987
+ "learning_rate": 4.8846643321416476e-05,
988
+ "loss": 0.874,
989
+ "step": 4340
990
+ },
991
+ {
992
+ "epoch": 0.07170510843531612,
993
+ "grad_norm": 1.098950743675232,
994
+ "learning_rate": 4.882129447892753e-05,
995
+ "loss": 0.863,
996
+ "step": 4371
997
+ },
998
+ {
999
+ "epoch": 0.07221365530365169,
1000
+ "grad_norm": 0.8074769973754883,
1001
+ "learning_rate": 4.8795676816368076e-05,
1002
+ "loss": 0.8735,
1003
+ "step": 4402
1004
+ },
1005
+ {
1006
+ "epoch": 0.07272220217198727,
1007
+ "grad_norm": 1.0250309705734253,
1008
+ "learning_rate": 4.876979062282995e-05,
1009
+ "loss": 0.8707,
1010
+ "step": 4433
1011
+ },
1012
+ {
1013
+ "epoch": 0.07323074904032284,
1014
+ "grad_norm": 0.9812042117118835,
1015
+ "learning_rate": 4.8743636190435325e-05,
1016
+ "loss": 0.8615,
1017
+ "step": 4464
1018
+ },
1019
+ {
1020
+ "epoch": 0.07373929590865842,
1021
+ "grad_norm": 0.8578740954399109,
1022
+ "learning_rate": 4.871721381433344e-05,
1023
+ "loss": 0.8748,
1024
+ "step": 4495
1025
+ },
1026
+ {
1027
+ "epoch": 0.07424784277699399,
1028
+ "grad_norm": 0.828201413154602,
1029
+ "learning_rate": 4.869052379269719e-05,
1030
+ "loss": 0.8621,
1031
+ "step": 4526
1032
+ },
1033
+ {
1034
+ "epoch": 0.07475638964532957,
1035
+ "grad_norm": 0.705862283706665,
1036
+ "learning_rate": 4.866356642671985e-05,
1037
+ "loss": 0.8648,
1038
+ "step": 4557
1039
+ },
1040
+ {
1041
+ "epoch": 0.07526493651366514,
1042
+ "grad_norm": 1.1234462261199951,
1043
+ "learning_rate": 4.8636342020611634e-05,
1044
+ "loss": 0.8749,
1045
+ "step": 4588
1046
+ },
1047
+ {
1048
+ "epoch": 0.07577348338200073,
1049
+ "grad_norm": 0.8310935497283936,
1050
+ "learning_rate": 4.860885088159626e-05,
1051
+ "loss": 0.8662,
1052
+ "step": 4619
1053
+ },
1054
+ {
1055
+ "epoch": 0.0762820302503363,
1056
+ "grad_norm": 0.9117681980133057,
1057
+ "learning_rate": 4.858109331990751e-05,
1058
+ "loss": 0.8651,
1059
+ "step": 4650
1060
+ },
1061
+ {
1062
+ "epoch": 0.07679057711867188,
1063
+ "grad_norm": 0.8817831873893738,
1064
+ "learning_rate": 4.855306964878567e-05,
1065
+ "loss": 0.8624,
1066
+ "step": 4681
1067
+ },
1068
+ {
1069
+ "epoch": 0.07729912398700745,
1070
+ "grad_norm": 1.2697678804397583,
1071
+ "learning_rate": 4.8524780184474084e-05,
1072
+ "loss": 0.8777,
1073
+ "step": 4712
1074
+ },
1075
+ {
1076
+ "epoch": 0.07780767085534303,
1077
+ "grad_norm": 0.9142253994941711,
1078
+ "learning_rate": 4.8496225246215496e-05,
1079
+ "loss": 0.863,
1080
+ "step": 4743
1081
+ },
1082
+ {
1083
+ "epoch": 0.0783162177236786,
1084
+ "grad_norm": 0.9251907467842102,
1085
+ "learning_rate": 4.8467405156248505e-05,
1086
+ "loss": 0.865,
1087
+ "step": 4774
1088
+ },
1089
+ {
1090
+ "epoch": 0.07882476459201418,
1091
+ "grad_norm": 0.8622975945472717,
1092
+ "learning_rate": 4.843832023980392e-05,
1093
+ "loss": 0.8642,
1094
+ "step": 4805
1095
+ },
1096
+ {
1097
+ "epoch": 0.07933331146034975,
1098
+ "grad_norm": 0.9559304118156433,
1099
+ "learning_rate": 4.840897082510106e-05,
1100
+ "loss": 0.8658,
1101
+ "step": 4836
1102
+ },
1103
+ {
1104
+ "epoch": 0.07984185832868533,
1105
+ "grad_norm": 1.0467437505722046,
1106
+ "learning_rate": 4.8379357243344084e-05,
1107
+ "loss": 0.8667,
1108
+ "step": 4867
1109
+ },
1110
+ {
1111
+ "epoch": 0.0803504051970209,
1112
+ "grad_norm": 0.920857310295105,
1113
+ "learning_rate": 4.8349479828718236e-05,
1114
+ "loss": 0.8638,
1115
+ "step": 4898
1116
+ },
1117
+ {
1118
+ "epoch": 0.08085895206535647,
1119
+ "grad_norm": 0.8406010866165161,
1120
+ "learning_rate": 4.8319338918386075e-05,
1121
+ "loss": 0.8566,
1122
+ "step": 4929
1123
+ },
1124
+ {
1125
+ "epoch": 0.08136749893369205,
1126
+ "grad_norm": 1.535828709602356,
1127
+ "learning_rate": 4.828893485248369e-05,
1128
+ "loss": 0.8631,
1129
+ "step": 4960
1130
+ },
1131
+ {
1132
+ "epoch": 0.08187604580202762,
1133
+ "grad_norm": 0.77967768907547,
1134
+ "learning_rate": 4.825826797411682e-05,
1135
+ "loss": 0.8664,
1136
+ "step": 4991
1137
+ },
1138
+ {
1139
+ "epoch": 0.0823845926703632,
1140
+ "grad_norm": 0.725979745388031,
1141
+ "learning_rate": 4.822733862935702e-05,
1142
+ "loss": 0.865,
1143
+ "step": 5022
1144
+ },
1145
+ {
1146
+ "epoch": 0.08289313953869877,
1147
+ "grad_norm": 0.8091695308685303,
1148
+ "learning_rate": 4.819614716723775e-05,
1149
+ "loss": 0.8683,
1150
+ "step": 5053
1151
+ },
1152
+ {
1153
+ "epoch": 0.08340168640703435,
1154
+ "grad_norm": 0.8684927821159363,
1155
+ "learning_rate": 4.8164693939750425e-05,
1156
+ "loss": 0.8511,
1157
+ "step": 5084
1158
+ },
1159
+ {
1160
+ "epoch": 0.08391023327536992,
1161
+ "grad_norm": 0.8640846610069275,
1162
+ "learning_rate": 4.813297930184042e-05,
1163
+ "loss": 0.8547,
1164
+ "step": 5115
1165
+ },
1166
+ {
1167
+ "epoch": 0.0844187801437055,
1168
+ "grad_norm": 0.8553802371025085,
1169
+ "learning_rate": 4.810100361140314e-05,
1170
+ "loss": 0.8608,
1171
+ "step": 5146
1172
+ },
1173
+ {
1174
+ "epoch": 0.08492732701204107,
1175
+ "grad_norm": 0.7264990210533142,
1176
+ "learning_rate": 4.8068767229279885e-05,
1177
+ "loss": 0.8586,
1178
+ "step": 5177
1179
+ },
1180
+ {
1181
+ "epoch": 0.08543587388037666,
1182
+ "grad_norm": 0.9155231714248657,
1183
+ "learning_rate": 4.8036270519253854e-05,
1184
+ "loss": 0.8536,
1185
+ "step": 5208
1186
+ },
1187
+ {
1188
+ "epoch": 0.08594442074871222,
1189
+ "grad_norm": 0.8864864706993103,
1190
+ "learning_rate": 4.8003513848046e-05,
1191
+ "loss": 0.856,
1192
+ "step": 5239
1193
+ },
1194
+ {
1195
+ "epoch": 0.08645296761704781,
1196
+ "grad_norm": 0.8806331753730774,
1197
+ "learning_rate": 4.79704975853109e-05,
1198
+ "loss": 0.8462,
1199
+ "step": 5270
1200
+ },
1201
+ {
1202
+ "epoch": 0.08696151448538338,
1203
+ "grad_norm": 0.8806422352790833,
1204
+ "learning_rate": 4.793722210363262e-05,
1205
+ "loss": 0.8548,
1206
+ "step": 5301
1207
+ },
1208
+ {
1209
+ "epoch": 0.08747006135371896,
1210
+ "grad_norm": 0.9075062870979309,
1211
+ "learning_rate": 4.7903687778520414e-05,
1212
+ "loss": 0.86,
1213
+ "step": 5332
1214
+ },
1215
+ {
1216
+ "epoch": 0.08797860822205453,
1217
+ "grad_norm": 0.952202320098877,
1218
+ "learning_rate": 4.7869894988404593e-05,
1219
+ "loss": 0.8523,
1220
+ "step": 5363
1221
+ },
1222
+ {
1223
+ "epoch": 0.08848715509039011,
1224
+ "grad_norm": 0.7852069139480591,
1225
+ "learning_rate": 4.783584411463221e-05,
1226
+ "loss": 0.8573,
1227
+ "step": 5394
1228
+ },
1229
+ {
1230
+ "epoch": 0.08899570195872568,
1231
+ "grad_norm": 0.7687172889709473,
1232
+ "learning_rate": 4.780153554146274e-05,
1233
+ "loss": 0.846,
1234
+ "step": 5425
1235
+ },
1236
+ {
1237
+ "epoch": 0.08950424882706126,
1238
+ "grad_norm": 0.8335172533988953,
1239
+ "learning_rate": 4.7766969656063766e-05,
1240
+ "loss": 0.8532,
1241
+ "step": 5456
1242
+ },
1243
+ {
1244
+ "epoch": 0.09001279569539683,
1245
+ "grad_norm": 0.8502724170684814,
1246
+ "learning_rate": 4.773214684850662e-05,
1247
+ "loss": 0.8461,
1248
+ "step": 5487
1249
+ },
1250
+ {
1251
+ "epoch": 0.09052134256373241,
1252
+ "grad_norm": 0.9617708325386047,
1253
+ "learning_rate": 4.769706751176193e-05,
1254
+ "loss": 0.8501,
1255
+ "step": 5518
1256
+ },
1257
+ {
1258
+ "epoch": 0.09102988943206798,
1259
+ "grad_norm": 0.843956470489502,
1260
+ "learning_rate": 4.7661732041695264e-05,
1261
+ "loss": 0.8498,
1262
+ "step": 5549
1263
+ },
1264
+ {
1265
+ "epoch": 0.09153843630040355,
1266
+ "grad_norm": 0.7345194220542908,
1267
+ "learning_rate": 4.762614083706258e-05,
1268
+ "loss": 0.8595,
1269
+ "step": 5580
1270
+ },
1271
+ {
1272
+ "epoch": 0.09204698316873913,
1273
+ "grad_norm": 0.8171796202659607,
1274
+ "learning_rate": 4.759029429950581e-05,
1275
+ "loss": 0.8499,
1276
+ "step": 5611
1277
+ },
1278
+ {
1279
+ "epoch": 0.0925555300370747,
1280
+ "grad_norm": 0.9034848213195801,
1281
+ "learning_rate": 4.7554192833548235e-05,
1282
+ "loss": 0.8515,
1283
+ "step": 5642
1284
+ },
1285
+ {
1286
+ "epoch": 0.09306407690541028,
1287
+ "grad_norm": 0.8186687231063843,
1288
+ "learning_rate": 4.751783684659e-05,
1289
+ "loss": 0.852,
1290
+ "step": 5673
1291
+ },
1292
+ {
1293
+ "epoch": 0.09357262377374585,
1294
+ "grad_norm": 0.8931159377098083,
1295
+ "learning_rate": 4.748122674890348e-05,
1296
+ "loss": 0.8471,
1297
+ "step": 5704
1298
+ },
1299
+ {
1300
+ "epoch": 0.09408117064208144,
1301
+ "grad_norm": 0.9406206011772156,
1302
+ "learning_rate": 4.7444362953628654e-05,
1303
+ "loss": 0.8494,
1304
+ "step": 5735
1305
+ },
1306
+ {
1307
+ "epoch": 0.094589717510417,
1308
+ "grad_norm": 0.7873674035072327,
1309
+ "learning_rate": 4.7407245876768424e-05,
1310
+ "loss": 0.8498,
1311
+ "step": 5766
1312
+ },
1313
+ {
1314
+ "epoch": 0.09509826437875259,
1315
+ "grad_norm": 0.8357398509979248,
1316
+ "learning_rate": 4.736987593718397e-05,
1317
+ "loss": 0.8539,
1318
+ "step": 5797
1319
+ },
1320
+ {
1321
+ "epoch": 0.09560681124708816,
1322
+ "grad_norm": 0.9035603404045105,
1323
+ "learning_rate": 4.733225355658999e-05,
1324
+ "loss": 0.8492,
1325
+ "step": 5828
1326
+ },
1327
+ {
1328
+ "epoch": 0.09611535811542374,
1329
+ "grad_norm": 0.9840619564056396,
1330
+ "learning_rate": 4.7294379159549926e-05,
1331
+ "loss": 0.8556,
1332
+ "step": 5859
1333
+ },
1334
+ {
1335
+ "epoch": 0.0966239049837593,
1336
+ "grad_norm": 0.9834292531013489,
1337
+ "learning_rate": 4.725625317347119e-05,
1338
+ "loss": 0.8419,
1339
+ "step": 5890
1340
+ },
1341
+ {
1342
+ "epoch": 0.09713245185209489,
1343
+ "grad_norm": 0.9010293483734131,
1344
+ "learning_rate": 4.7217876028600374e-05,
1345
+ "loss": 0.8536,
1346
+ "step": 5921
1347
+ },
1348
+ {
1349
+ "epoch": 0.09764099872043046,
1350
+ "grad_norm": 0.8637653589248657,
1351
+ "learning_rate": 4.717924815801832e-05,
1352
+ "loss": 0.8557,
1353
+ "step": 5952
1354
+ },
1355
+ {
1356
+ "epoch": 0.09814954558876604,
1357
+ "grad_norm": 0.8036808967590332,
1358
+ "learning_rate": 4.714036999763532e-05,
1359
+ "loss": 0.8379,
1360
+ "step": 5983
1361
+ },
1362
+ {
1363
+ "epoch": 0.09865809245710161,
1364
+ "grad_norm": 0.70550936460495,
1365
+ "learning_rate": 4.7101241986186116e-05,
1366
+ "loss": 0.8514,
1367
+ "step": 6014
1368
+ },
1369
+ {
1370
+ "epoch": 0.09916663932543719,
1371
+ "grad_norm": 0.8050324320793152,
1372
+ "learning_rate": 4.7061864565225e-05,
1373
+ "loss": 0.8561,
1374
+ "step": 6045
1375
+ },
1376
+ {
1377
+ "epoch": 0.09967518619377276,
1378
+ "grad_norm": 0.8765999674797058,
1379
+ "learning_rate": 4.702223817912081e-05,
1380
+ "loss": 0.842,
1381
+ "step": 6076
1382
+ },
1383
+ {
1384
+ "epoch": 0.10018373306210834,
1385
+ "grad_norm": 0.8884183764457703,
1386
+ "learning_rate": 4.698236327505195e-05,
1387
+ "loss": 0.842,
1388
+ "step": 6107
1389
+ },
1390
+ {
1391
+ "epoch": 0.10069227993044391,
1392
+ "grad_norm": 0.7993413209915161,
1393
+ "learning_rate": 4.694224030300127e-05,
1394
+ "loss": 0.8346,
1395
+ "step": 6138
1396
+ },
1397
+ {
1398
+ "epoch": 0.10120082679877948,
1399
+ "grad_norm": 0.8383135199546814,
1400
+ "learning_rate": 4.690186971575107e-05,
1401
+ "loss": 0.84,
1402
+ "step": 6169
1403
+ },
1404
+ {
1405
+ "epoch": 0.10170937366711506,
1406
+ "grad_norm": 0.9864751100540161,
1407
+ "learning_rate": 4.6861251968877916e-05,
1408
+ "loss": 0.8475,
1409
+ "step": 6200
1410
+ },
1411
+ {
1412
+ "epoch": 0.10221792053545063,
1413
+ "grad_norm": 0.7869567275047302,
1414
+ "learning_rate": 4.68203875207476e-05,
1415
+ "loss": 0.8541,
1416
+ "step": 6231
1417
+ },
1418
+ {
1419
+ "epoch": 0.10272646740378621,
1420
+ "grad_norm": 0.8401315212249756,
1421
+ "learning_rate": 4.677927683250983e-05,
1422
+ "loss": 0.8498,
1423
+ "step": 6262
1424
+ },
1425
+ {
1426
+ "epoch": 0.10323501427212178,
1427
+ "grad_norm": 0.8147920370101929,
1428
+ "learning_rate": 4.6737920368093156e-05,
1429
+ "loss": 0.8521,
1430
+ "step": 6293
1431
+ },
1432
+ {
1433
+ "epoch": 0.10374356114045737,
1434
+ "grad_norm": 0.9189819097518921,
1435
+ "learning_rate": 4.669631859419965e-05,
1436
+ "loss": 0.8358,
1437
+ "step": 6324
1438
+ },
1439
+ {
1440
+ "epoch": 0.10425210800879293,
1441
+ "grad_norm": 0.8106151819229126,
1442
+ "learning_rate": 4.6654471980299676e-05,
1443
+ "loss": 0.8355,
1444
+ "step": 6355
1445
+ },
1446
+ {
1447
+ "epoch": 0.10476065487712852,
1448
+ "grad_norm": 0.8246133327484131,
1449
+ "learning_rate": 4.661238099862658e-05,
1450
+ "loss": 0.8502,
1451
+ "step": 6386
1452
+ },
1453
+ {
1454
+ "epoch": 0.10526920174546409,
1455
+ "grad_norm": 0.7696080803871155,
1456
+ "learning_rate": 4.657004612417138e-05,
1457
+ "loss": 0.8452,
1458
+ "step": 6417
1459
+ },
1460
+ {
1461
+ "epoch": 0.10577774861379967,
1462
+ "grad_norm": 0.8194378018379211,
1463
+ "learning_rate": 4.6527467834677374e-05,
1464
+ "loss": 0.8538,
1465
+ "step": 6448
1466
+ },
1467
+ {
1468
+ "epoch": 0.10628629548213524,
1469
+ "grad_norm": 0.763508677482605,
1470
+ "learning_rate": 4.648464661063478e-05,
1471
+ "loss": 0.8394,
1472
+ "step": 6479
1473
+ },
1474
+ {
1475
+ "epoch": 0.10679484235047082,
1476
+ "grad_norm": 0.8376573920249939,
1477
+ "learning_rate": 4.6441582935275264e-05,
1478
+ "loss": 0.8449,
1479
+ "step": 6510
1480
+ },
1481
+ {
1482
+ "epoch": 0.10730338921880639,
1483
+ "grad_norm": 0.7334773540496826,
1484
+ "learning_rate": 4.6398277294566586e-05,
1485
+ "loss": 0.8458,
1486
+ "step": 6541
1487
+ },
1488
+ {
1489
+ "epoch": 0.10781193608714197,
1490
+ "grad_norm": 0.8620659112930298,
1491
+ "learning_rate": 4.6354730177207e-05,
1492
+ "loss": 0.8318,
1493
+ "step": 6572
1494
+ },
1495
+ {
1496
+ "epoch": 0.10832048295547754,
1497
+ "grad_norm": 0.8515760898590088,
1498
+ "learning_rate": 4.6310942074619787e-05,
1499
+ "loss": 0.8424,
1500
+ "step": 6603
1501
+ },
1502
+ {
1503
+ "epoch": 0.10882902982381312,
1504
+ "grad_norm": 0.7571322321891785,
1505
+ "learning_rate": 4.626691348094777e-05,
1506
+ "loss": 0.8354,
1507
+ "step": 6634
1508
+ },
1509
+ {
1510
+ "epoch": 0.10933757669214869,
1511
+ "grad_norm": 0.7566030025482178,
1512
+ "learning_rate": 4.622264489304762e-05,
1513
+ "loss": 0.8358,
1514
+ "step": 6665
1515
+ },
1516
+ {
1517
+ "epoch": 0.10984612356048427,
1518
+ "grad_norm": 0.9415192604064941,
1519
+ "learning_rate": 4.617813681048434e-05,
1520
+ "loss": 0.8407,
1521
+ "step": 6696
1522
+ },
1523
+ {
1524
+ "epoch": 0.11035467042881984,
1525
+ "grad_norm": 0.9476765990257263,
1526
+ "learning_rate": 4.61333897355256e-05,
1527
+ "loss": 0.8348,
1528
+ "step": 6727
1529
+ },
1530
+ {
1531
+ "epoch": 0.11086321729715543,
1532
+ "grad_norm": 0.7231162190437317,
1533
+ "learning_rate": 4.608840417313604e-05,
1534
+ "loss": 0.8287,
1535
+ "step": 6758
1536
+ },
1537
+ {
1538
+ "epoch": 0.111371764165491,
1539
+ "grad_norm": 0.8302910327911377,
1540
+ "learning_rate": 4.6043180630971646e-05,
1541
+ "loss": 0.8416,
1542
+ "step": 6789
1543
+ },
1544
+ {
1545
+ "epoch": 0.11188031103382656,
1546
+ "grad_norm": 0.7198696732521057,
1547
+ "learning_rate": 4.599771961937391e-05,
1548
+ "loss": 0.8483,
1549
+ "step": 6820
1550
+ },
1551
+ {
1552
+ "epoch": 0.11238885790216215,
1553
+ "grad_norm": 0.843404233455658,
1554
+ "learning_rate": 4.5952021651364204e-05,
1555
+ "loss": 0.8326,
1556
+ "step": 6851
1557
+ },
1558
+ {
1559
+ "epoch": 0.11289740477049771,
1560
+ "grad_norm": 0.7174884080886841,
1561
+ "learning_rate": 4.590608724263786e-05,
1562
+ "loss": 0.8389,
1563
+ "step": 6882
1564
+ },
1565
+ {
1566
+ "epoch": 0.1134059516388333,
1567
+ "grad_norm": 0.9392669796943665,
1568
+ "learning_rate": 4.585991691155845e-05,
1569
+ "loss": 0.8373,
1570
+ "step": 6913
1571
+ },
1572
+ {
1573
+ "epoch": 0.11391449850716887,
1574
+ "grad_norm": 0.7740927934646606,
1575
+ "learning_rate": 4.581351117915188e-05,
1576
+ "loss": 0.8269,
1577
+ "step": 6944
1578
+ },
1579
+ {
1580
+ "epoch": 0.11442304537550445,
1581
+ "grad_norm": 0.7788698673248291,
1582
+ "learning_rate": 4.5766870569100534e-05,
1583
+ "loss": 0.8414,
1584
+ "step": 6975
1585
+ },
1586
+ {
1587
+ "epoch": 0.11493159224384002,
1588
+ "grad_norm": 0.9135116934776306,
1589
+ "learning_rate": 4.571999560773736e-05,
1590
+ "loss": 0.8348,
1591
+ "step": 7006
1592
+ },
1593
+ {
1594
+ "epoch": 0.1154401391121756,
1595
+ "grad_norm": 0.7956461906433105,
1596
+ "learning_rate": 4.5672886824039915e-05,
1597
+ "loss": 0.8383,
1598
+ "step": 7037
1599
+ },
1600
+ {
1601
+ "epoch": 0.11594868598051117,
1602
+ "grad_norm": 0.8202860355377197,
1603
+ "learning_rate": 4.5625544749624435e-05,
1604
+ "loss": 0.8351,
1605
+ "step": 7068
1606
+ },
1607
+ {
1608
+ "epoch": 0.11645723284884675,
1609
+ "grad_norm": 0.7899375557899475,
1610
+ "learning_rate": 4.5577969918739794e-05,
1611
+ "loss": 0.835,
1612
+ "step": 7099
1613
+ },
1614
+ {
1615
+ "epoch": 0.11696577971718232,
1616
+ "grad_norm": 0.7905834913253784,
1617
+ "learning_rate": 4.5530162868261486e-05,
1618
+ "loss": 0.8321,
1619
+ "step": 7130
1620
+ },
1621
+ {
1622
+ "epoch": 0.1174743265855179,
1623
+ "grad_norm": 0.7519370913505554,
1624
+ "learning_rate": 4.548212413768558e-05,
1625
+ "loss": 0.8333,
1626
+ "step": 7161
1627
+ },
1628
+ {
1629
+ "epoch": 0.11798287345385347,
1630
+ "grad_norm": 0.8854320645332336,
1631
+ "learning_rate": 4.543385426912261e-05,
1632
+ "loss": 0.8261,
1633
+ "step": 7192
1634
+ },
1635
+ {
1636
+ "epoch": 0.11849142032218905,
1637
+ "grad_norm": 0.8104952573776245,
1638
+ "learning_rate": 4.53853538072915e-05,
1639
+ "loss": 0.8378,
1640
+ "step": 7223
1641
+ },
1642
+ {
1643
+ "epoch": 0.11899996719052462,
1644
+ "grad_norm": 0.8440843820571899,
1645
+ "learning_rate": 4.533662329951336e-05,
1646
+ "loss": 0.8363,
1647
+ "step": 7254
1648
+ },
1649
+ {
1650
+ "epoch": 0.1195085140588602,
1651
+ "grad_norm": 0.8464990854263306,
1652
+ "learning_rate": 4.528766329570536e-05,
1653
+ "loss": 0.8472,
1654
+ "step": 7285
1655
+ },
1656
+ {
1657
+ "epoch": 0.12001706092719577,
1658
+ "grad_norm": 0.7120764851570129,
1659
+ "learning_rate": 4.523847434837447e-05,
1660
+ "loss": 0.8439,
1661
+ "step": 7316
1662
+ },
1663
+ {
1664
+ "epoch": 0.12052560779553136,
1665
+ "grad_norm": 0.8461644053459167,
1666
+ "learning_rate": 4.518905701261128e-05,
1667
+ "loss": 0.8359,
1668
+ "step": 7347
1669
+ },
1670
+ {
1671
+ "epoch": 0.12103415466386692,
1672
+ "grad_norm": 0.7484918236732483,
1673
+ "learning_rate": 4.5139411846083715e-05,
1674
+ "loss": 0.8362,
1675
+ "step": 7378
1676
+ },
1677
+ {
1678
+ "epoch": 0.1215427015322025,
1679
+ "grad_norm": 0.759344756603241,
1680
+ "learning_rate": 4.508953940903073e-05,
1681
+ "loss": 0.8402,
1682
+ "step": 7409
1683
+ },
1684
+ {
1685
+ "epoch": 0.12205124840053808,
1686
+ "grad_norm": 0.7918707728385925,
1687
+ "learning_rate": 4.5039440264255994e-05,
1688
+ "loss": 0.8381,
1689
+ "step": 7440
1690
+ },
1691
+ {
1692
+ "epoch": 0.12255979526887364,
1693
+ "grad_norm": 0.7695263624191284,
1694
+ "learning_rate": 4.498911497712155e-05,
1695
+ "loss": 0.8362,
1696
+ "step": 7471
1697
+ },
1698
+ {
1699
+ "epoch": 0.12306834213720923,
1700
+ "grad_norm": 0.7486735582351685,
1701
+ "learning_rate": 4.493856411554142e-05,
1702
+ "loss": 0.8282,
1703
+ "step": 7502
1704
+ },
1705
+ {
1706
+ "epoch": 0.1235768890055448,
1707
+ "grad_norm": 0.9669325947761536,
1708
+ "learning_rate": 4.4887788249975206e-05,
1709
+ "loss": 0.8219,
1710
+ "step": 7533
1711
+ },
1712
+ {
1713
+ "epoch": 0.12408543587388038,
1714
+ "grad_norm": 0.7665596604347229,
1715
+ "learning_rate": 4.4836787953421656e-05,
1716
+ "loss": 0.8316,
1717
+ "step": 7564
1718
+ },
1719
+ {
1720
+ "epoch": 0.12459398274221595,
1721
+ "grad_norm": 0.6568590402603149,
1722
+ "learning_rate": 4.478556380141218e-05,
1723
+ "loss": 0.8309,
1724
+ "step": 7595
1725
+ },
1726
+ {
1727
+ "epoch": 0.12510252961055152,
1728
+ "grad_norm": 0.7445078492164612,
1729
+ "learning_rate": 4.4734116372004375e-05,
1730
+ "loss": 0.8375,
1731
+ "step": 7626
1732
+ },
1733
+ {
1734
+ "epoch": 0.1256110764788871,
1735
+ "grad_norm": 0.7931857109069824,
1736
+ "learning_rate": 4.4682446245775477e-05,
1737
+ "loss": 0.8299,
1738
+ "step": 7657
1739
+ },
1740
+ {
1741
+ "epoch": 0.12611962334722268,
1742
+ "grad_norm": 0.7949565052986145,
1743
+ "learning_rate": 4.463055400581586e-05,
1744
+ "loss": 0.824,
1745
+ "step": 7688
1746
+ },
1747
+ {
1748
+ "epoch": 0.12662817021555825,
1749
+ "grad_norm": 0.9419664144515991,
1750
+ "learning_rate": 4.4578440237722374e-05,
1751
+ "loss": 0.8279,
1752
+ "step": 7719
1753
+ },
1754
+ {
1755
+ "epoch": 0.12713671708389382,
1756
+ "grad_norm": 0.8755522966384888,
1757
+ "learning_rate": 4.452610552959183e-05,
1758
+ "loss": 0.8323,
1759
+ "step": 7750
1760
+ },
1761
+ {
1762
+ "epoch": 0.12764526395222942,
1763
+ "grad_norm": 0.7803270816802979,
1764
+ "learning_rate": 4.447355047201428e-05,
1765
+ "loss": 0.8288,
1766
+ "step": 7781
1767
+ },
1768
+ {
1769
+ "epoch": 0.12815381082056498,
1770
+ "grad_norm": 0.8153209686279297,
1771
+ "learning_rate": 4.4420775658066414e-05,
1772
+ "loss": 0.8311,
1773
+ "step": 7812
1774
+ },
1775
+ {
1776
+ "epoch": 0.12866235768890055,
1777
+ "grad_norm": 0.7577016949653625,
1778
+ "learning_rate": 4.436778168330484e-05,
1779
+ "loss": 0.8263,
1780
+ "step": 7843
1781
+ },
1782
+ {
1783
+ "epoch": 0.12917090455723612,
1784
+ "grad_norm": 0.7444413304328918,
1785
+ "learning_rate": 4.4314569145759353e-05,
1786
+ "loss": 0.8248,
1787
+ "step": 7874
1788
+ },
1789
+ {
1790
+ "epoch": 0.12967945142557172,
1791
+ "grad_norm": 0.7085497379302979,
1792
+ "learning_rate": 4.42611386459262e-05,
1793
+ "loss": 0.8299,
1794
+ "step": 7905
1795
+ },
1796
+ {
1797
+ "epoch": 0.1301879982939073,
1798
+ "grad_norm": 0.9205734133720398,
1799
+ "learning_rate": 4.420749078676133e-05,
1800
+ "loss": 0.8361,
1801
+ "step": 7936
1802
+ },
1803
+ {
1804
+ "epoch": 0.13069654516224286,
1805
+ "grad_norm": 0.7982526421546936,
1806
+ "learning_rate": 4.4153626173673516e-05,
1807
+ "loss": 0.8285,
1808
+ "step": 7967
1809
+ },
1810
+ {
1811
+ "epoch": 0.13120509203057842,
1812
+ "grad_norm": 0.7862482070922852,
1813
+ "learning_rate": 4.409954541451762e-05,
1814
+ "loss": 0.8295,
1815
+ "step": 7998
1816
+ },
1817
+ {
1818
+ "epoch": 0.131713638898914,
1819
+ "grad_norm": 0.6587911248207092,
1820
+ "learning_rate": 4.404524911958764e-05,
1821
+ "loss": 0.8352,
1822
+ "step": 8029
1823
+ },
1824
+ {
1825
+ "epoch": 0.1322221857672496,
1826
+ "grad_norm": 0.9410633444786072,
1827
+ "learning_rate": 4.399073790160989e-05,
1828
+ "loss": 0.8309,
1829
+ "step": 8060
1830
+ },
1831
+ {
1832
+ "epoch": 0.13273073263558516,
1833
+ "grad_norm": 0.7766574025154114,
1834
+ "learning_rate": 4.393601237573607e-05,
1835
+ "loss": 0.8246,
1836
+ "step": 8091
1837
+ },
1838
+ {
1839
+ "epoch": 0.13323927950392073,
1840
+ "grad_norm": 0.7887439131736755,
1841
+ "learning_rate": 4.388107315953628e-05,
1842
+ "loss": 0.8288,
1843
+ "step": 8122
1844
+ },
1845
+ {
1846
+ "epoch": 0.1337478263722563,
1847
+ "grad_norm": 0.9374856352806091,
1848
+ "learning_rate": 4.382592087299212e-05,
1849
+ "loss": 0.8306,
1850
+ "step": 8153
1851
+ },
1852
+ {
1853
+ "epoch": 0.1342563732405919,
1854
+ "grad_norm": 0.9233435988426208,
1855
+ "learning_rate": 4.377055613848964e-05,
1856
+ "loss": 0.8268,
1857
+ "step": 8184
1858
+ },
1859
+ {
1860
+ "epoch": 0.13476492010892746,
1861
+ "grad_norm": 0.8031365871429443,
1862
+ "learning_rate": 4.3714979580812355e-05,
1863
+ "loss": 0.8245,
1864
+ "step": 8215
1865
+ },
1866
+ {
1867
+ "epoch": 0.13527346697726303,
1868
+ "grad_norm": 0.654653787612915,
1869
+ "learning_rate": 4.365919182713416e-05,
1870
+ "loss": 0.8255,
1871
+ "step": 8246
1872
+ },
1873
+ {
1874
+ "epoch": 0.1357820138455986,
1875
+ "grad_norm": 0.7165628671646118,
1876
+ "learning_rate": 4.360319350701226e-05,
1877
+ "loss": 0.8322,
1878
+ "step": 8277
1879
+ },
1880
+ {
1881
+ "epoch": 0.1362905607139342,
1882
+ "grad_norm": 0.7504312992095947,
1883
+ "learning_rate": 4.3546985252380115e-05,
1884
+ "loss": 0.8229,
1885
+ "step": 8308
1886
+ },
1887
+ {
1888
+ "epoch": 0.13679910758226976,
1889
+ "grad_norm": 0.9588577747344971,
1890
+ "learning_rate": 4.349056769754021e-05,
1891
+ "loss": 0.8289,
1892
+ "step": 8339
1893
+ },
1894
+ {
1895
+ "epoch": 0.13730765445060533,
1896
+ "grad_norm": 1.0719257593154907,
1897
+ "learning_rate": 4.3433941479156994e-05,
1898
+ "loss": 0.8262,
1899
+ "step": 8370
1900
+ },
1901
+ {
1902
+ "epoch": 0.1378162013189409,
1903
+ "grad_norm": 0.7595779299736023,
1904
+ "learning_rate": 4.3377107236249647e-05,
1905
+ "loss": 0.8274,
1906
+ "step": 8401
1907
+ },
1908
+ {
1909
+ "epoch": 0.1383247481872765,
1910
+ "grad_norm": 0.7770616412162781,
1911
+ "learning_rate": 4.332006561018488e-05,
1912
+ "loss": 0.8253,
1913
+ "step": 8432
1914
+ },
1915
+ {
1916
+ "epoch": 0.13883329505561207,
1917
+ "grad_norm": 0.8065539598464966,
1918
+ "learning_rate": 4.3262817244669683e-05,
1919
+ "loss": 0.8333,
1920
+ "step": 8463
1921
+ },
1922
+ {
1923
+ "epoch": 0.13934184192394763,
1924
+ "grad_norm": 0.8903069496154785,
1925
+ "learning_rate": 4.3205362785744083e-05,
1926
+ "loss": 0.8203,
1927
+ "step": 8494
1928
+ },
1929
+ {
1930
+ "epoch": 0.1398503887922832,
1931
+ "grad_norm": 0.8108446598052979,
1932
+ "learning_rate": 4.314770288177384e-05,
1933
+ "loss": 0.82,
1934
+ "step": 8525
1935
+ },
1936
+ {
1937
+ "epoch": 0.1403589356606188,
1938
+ "grad_norm": 0.8944516181945801,
1939
+ "learning_rate": 4.308983818344313e-05,
1940
+ "loss": 0.821,
1941
+ "step": 8556
1942
+ },
1943
+ {
1944
+ "epoch": 0.14086748252895437,
1945
+ "grad_norm": 0.7374255061149597,
1946
+ "learning_rate": 4.3031769343747206e-05,
1947
+ "loss": 0.8145,
1948
+ "step": 8587
1949
+ },
1950
+ {
1951
+ "epoch": 0.14137602939728994,
1952
+ "grad_norm": 0.7687476873397827,
1953
+ "learning_rate": 4.297349701798505e-05,
1954
+ "loss": 0.8158,
1955
+ "step": 8618
1956
+ },
1957
+ {
1958
+ "epoch": 0.1418845762656255,
1959
+ "grad_norm": 0.8074747323989868,
1960
+ "learning_rate": 4.2915021863751916e-05,
1961
+ "loss": 0.8161,
1962
+ "step": 8649
1963
+ },
1964
+ {
1965
+ "epoch": 0.14239312313396107,
1966
+ "grad_norm": 0.6590523719787598,
1967
+ "learning_rate": 4.285634454093198e-05,
1968
+ "loss": 0.8205,
1969
+ "step": 8680
1970
+ },
1971
+ {
1972
+ "epoch": 0.14290167000229667,
1973
+ "grad_norm": 0.7120646834373474,
1974
+ "learning_rate": 4.279746571169086e-05,
1975
+ "loss": 0.8211,
1976
+ "step": 8711
1977
+ },
1978
+ {
1979
+ "epoch": 0.14341021687063224,
1980
+ "grad_norm": 0.6680018305778503,
1981
+ "learning_rate": 4.2738386040468136e-05,
1982
+ "loss": 0.8262,
1983
+ "step": 8742
1984
+ },
1985
+ {
1986
+ "epoch": 0.1439187637389678,
1987
+ "grad_norm": 0.6493867039680481,
1988
+ "learning_rate": 4.2679106193969866e-05,
1989
+ "loss": 0.8138,
1990
+ "step": 8773
1991
+ },
1992
+ {
1993
+ "epoch": 0.14442731060730338,
1994
+ "grad_norm": 0.8403043746948242,
1995
+ "learning_rate": 4.261962684116106e-05,
1996
+ "loss": 0.8252,
1997
+ "step": 8804
1998
+ },
1999
+ {
2000
+ "epoch": 0.14493585747563897,
2001
+ "grad_norm": 0.8730862140655518,
2002
+ "learning_rate": 4.2559948653258145e-05,
2003
+ "loss": 0.8207,
2004
+ "step": 8835
2005
+ },
2006
+ {
2007
+ "epoch": 0.14544440434397454,
2008
+ "grad_norm": 0.7768038511276245,
2009
+ "learning_rate": 4.250007230372134e-05,
2010
+ "loss": 0.8301,
2011
+ "step": 8866
2012
+ },
2013
+ {
2014
+ "epoch": 0.1459529512123101,
2015
+ "grad_norm": 0.7834228277206421,
2016
+ "learning_rate": 4.2439998468247126e-05,
2017
+ "loss": 0.8279,
2018
+ "step": 8897
2019
+ },
2020
+ {
2021
+ "epoch": 0.14646149808064568,
2022
+ "grad_norm": 0.7046851515769958,
2023
+ "learning_rate": 4.2379727824760566e-05,
2024
+ "loss": 0.8191,
2025
+ "step": 8928
2026
+ },
2027
+ {
2028
+ "epoch": 0.14697004494898128,
2029
+ "grad_norm": 0.7662693858146667,
2030
+ "learning_rate": 4.231926105340768e-05,
2031
+ "loss": 0.8265,
2032
+ "step": 8959
2033
+ },
2034
+ {
2035
+ "epoch": 0.14747859181731685,
2036
+ "grad_norm": 0.6945628523826599,
2037
+ "learning_rate": 4.225859883654776e-05,
2038
+ "loss": 0.8164,
2039
+ "step": 8990
2040
+ },
2041
+ {
2042
+ "epoch": 0.14798713868565241,
2043
+ "grad_norm": 0.7956746220588684,
2044
+ "learning_rate": 4.219774185874569e-05,
2045
+ "loss": 0.8249,
2046
+ "step": 9021
2047
+ },
2048
+ {
2049
+ "epoch": 0.14849568555398798,
2050
+ "grad_norm": 0.6459651589393616,
2051
+ "learning_rate": 4.213669080676418e-05,
2052
+ "loss": 0.8118,
2053
+ "step": 9052
2054
+ },
2055
+ {
2056
+ "epoch": 0.14900423242232358,
2057
+ "grad_norm": 0.6358417272567749,
2058
+ "learning_rate": 4.2075446369556056e-05,
2059
+ "loss": 0.8177,
2060
+ "step": 9083
2061
+ },
2062
+ {
2063
+ "epoch": 0.14951277929065915,
2064
+ "grad_norm": 0.7192367911338806,
2065
+ "learning_rate": 4.201400923825648e-05,
2066
+ "loss": 0.8164,
2067
+ "step": 9114
2068
+ },
2069
+ {
2070
+ "epoch": 0.15002132615899472,
2071
+ "grad_norm": 0.7007993459701538,
2072
+ "learning_rate": 4.195238010617511e-05,
2073
+ "loss": 0.8182,
2074
+ "step": 9145
2075
+ },
2076
+ {
2077
+ "epoch": 0.15052987302733029,
2078
+ "grad_norm": 0.8889499306678772,
2079
+ "learning_rate": 4.1890559668788344e-05,
2080
+ "loss": 0.8239,
2081
+ "step": 9176
2082
+ },
2083
+ {
2084
+ "epoch": 0.15103841989566588,
2085
+ "grad_norm": 0.7275688648223877,
2086
+ "learning_rate": 4.1828548623731405e-05,
2087
+ "loss": 0.8272,
2088
+ "step": 9207
2089
+ },
2090
+ {
2091
+ "epoch": 0.15154696676400145,
2092
+ "grad_norm": 0.8763214349746704,
2093
+ "learning_rate": 4.1766347670790506e-05,
2094
+ "loss": 0.8133,
2095
+ "step": 9238
2096
+ },
2097
+ {
2098
+ "epoch": 0.15205551363233702,
2099
+ "grad_norm": 0.7568575143814087,
2100
+ "learning_rate": 4.170395751189495e-05,
2101
+ "loss": 0.8301,
2102
+ "step": 9269
2103
+ },
2104
+ {
2105
+ "epoch": 0.1525640605006726,
2106
+ "grad_norm": 0.8635027408599854,
2107
+ "learning_rate": 4.164137885110921e-05,
2108
+ "loss": 0.8191,
2109
+ "step": 9300
2110
+ },
2111
+ {
2112
+ "epoch": 0.15307260736900816,
2113
+ "grad_norm": 1.1189345121383667,
2114
+ "learning_rate": 4.157861239462495e-05,
2115
+ "loss": 0.8251,
2116
+ "step": 9331
2117
+ },
2118
+ {
2119
+ "epoch": 0.15358115423734375,
2120
+ "grad_norm": 0.7589987516403198,
2121
+ "learning_rate": 4.1515658850753114e-05,
2122
+ "loss": 0.8173,
2123
+ "step": 9362
2124
+ },
2125
+ {
2126
+ "epoch": 0.15408970110567932,
2127
+ "grad_norm": 0.8124852180480957,
2128
+ "learning_rate": 4.145251892991588e-05,
2129
+ "loss": 0.8245,
2130
+ "step": 9393
2131
+ },
2132
+ {
2133
+ "epoch": 0.1545982479740149,
2134
+ "grad_norm": 0.8820806741714478,
2135
+ "learning_rate": 4.138919334463868e-05,
2136
+ "loss": 0.8142,
2137
+ "step": 9424
2138
+ },
2139
+ {
2140
+ "epoch": 0.15510679484235046,
2141
+ "grad_norm": 0.6851283311843872,
2142
+ "learning_rate": 4.1325682809542124e-05,
2143
+ "loss": 0.7997,
2144
+ "step": 9455
2145
+ },
2146
+ {
2147
+ "epoch": 0.15561534171068606,
2148
+ "grad_norm": 0.8576741814613342,
2149
+ "learning_rate": 4.126198804133398e-05,
2150
+ "loss": 0.8188,
2151
+ "step": 9486
2152
+ },
2153
+ {
2154
+ "epoch": 0.15612388857902162,
2155
+ "grad_norm": 0.7869651317596436,
2156
+ "learning_rate": 4.1198109758801055e-05,
2157
+ "loss": 0.8218,
2158
+ "step": 9517
2159
+ },
2160
+ {
2161
+ "epoch": 0.1566324354473572,
2162
+ "grad_norm": 0.7563472390174866,
2163
+ "learning_rate": 4.113404868280107e-05,
2164
+ "loss": 0.8245,
2165
+ "step": 9548
2166
+ },
2167
+ {
2168
+ "epoch": 0.15714098231569276,
2169
+ "grad_norm": 0.7451006174087524,
2170
+ "learning_rate": 4.106980553625457e-05,
2171
+ "loss": 0.8072,
2172
+ "step": 9579
2173
+ },
2174
+ {
2175
+ "epoch": 0.15764952918402836,
2176
+ "grad_norm": 0.6817291378974915,
2177
+ "learning_rate": 4.100538104413674e-05,
2178
+ "loss": 0.8175,
2179
+ "step": 9610
2180
+ },
2181
+ {
2182
+ "epoch": 0.15815807605236393,
2183
+ "grad_norm": 0.7386301755905151,
2184
+ "learning_rate": 4.09407759334692e-05,
2185
+ "loss": 0.8147,
2186
+ "step": 9641
2187
+ },
2188
+ {
2189
+ "epoch": 0.1586666229206995,
2190
+ "grad_norm": 0.7530351877212524,
2191
+ "learning_rate": 4.087599093331186e-05,
2192
+ "loss": 0.8246,
2193
+ "step": 9672
2194
+ },
2195
+ {
2196
+ "epoch": 0.15917516978903506,
2197
+ "grad_norm": 0.7016597390174866,
2198
+ "learning_rate": 4.081102677475462e-05,
2199
+ "loss": 0.809,
2200
+ "step": 9703
2201
+ },
2202
+ {
2203
+ "epoch": 0.15968371665737066,
2204
+ "grad_norm": 0.7503277063369751,
2205
+ "learning_rate": 4.0745884190909194e-05,
2206
+ "loss": 0.8203,
2207
+ "step": 9734
2208
+ },
2209
+ {
2210
+ "epoch": 0.16019226352570623,
2211
+ "grad_norm": 0.8983309268951416,
2212
+ "learning_rate": 4.0680563916900796e-05,
2213
+ "loss": 0.8265,
2214
+ "step": 9765
2215
+ },
2216
+ {
2217
+ "epoch": 0.1607008103940418,
2218
+ "grad_norm": 0.8664911985397339,
2219
+ "learning_rate": 4.0615066689859815e-05,
2220
+ "loss": 0.8096,
2221
+ "step": 9796
2222
+ },
2223
+ {
2224
+ "epoch": 0.16120935726237737,
2225
+ "grad_norm": 0.882965087890625,
2226
+ "learning_rate": 4.0549393248913584e-05,
2227
+ "loss": 0.8131,
2228
+ "step": 9827
2229
+ },
2230
+ {
2231
+ "epoch": 0.16171790413071294,
2232
+ "grad_norm": 0.7006222605705261,
2233
+ "learning_rate": 4.048354433517794e-05,
2234
+ "loss": 0.8184,
2235
+ "step": 9858
2236
+ },
2237
+ {
2238
+ "epoch": 0.16222645099904853,
2239
+ "grad_norm": 0.749029815196991,
2240
+ "learning_rate": 4.0417520691748916e-05,
2241
+ "loss": 0.8227,
2242
+ "step": 9889
2243
+ },
2244
+ {
2245
+ "epoch": 0.1627349978673841,
2246
+ "grad_norm": 0.7951566576957703,
2247
+ "learning_rate": 4.035132306369438e-05,
2248
+ "loss": 0.8152,
2249
+ "step": 9920
2250
+ },
2251
+ {
2252
+ "epoch": 0.16324354473571967,
2253
+ "grad_norm": 0.8387523293495178,
2254
+ "learning_rate": 4.028495219804555e-05,
2255
+ "loss": 0.8148,
2256
+ "step": 9951
2257
+ },
2258
+ {
2259
+ "epoch": 0.16375209160405524,
2260
+ "grad_norm": 0.7745356559753418,
2261
+ "learning_rate": 4.021840884378864e-05,
2262
+ "loss": 0.8068,
2263
+ "step": 9982
2264
+ },
2265
+ {
2266
+ "epoch": 0.16426063847239084,
2267
+ "grad_norm": 0.8473168611526489,
2268
+ "learning_rate": 4.015169375185633e-05,
2269
+ "loss": 0.8084,
2270
+ "step": 10013
2271
+ },
2272
+ {
2273
+ "epoch": 0.1647691853407264,
2274
+ "grad_norm": 0.8187867403030396,
2275
+ "learning_rate": 4.0084807675119396e-05,
2276
+ "loss": 0.8051,
2277
+ "step": 10044
2278
+ },
2279
+ {
2280
+ "epoch": 0.16527773220906197,
2281
+ "grad_norm": 0.8002802133560181,
2282
+ "learning_rate": 4.0017751368378106e-05,
2283
+ "loss": 0.817,
2284
+ "step": 10075
2285
+ },
2286
+ {
2287
+ "epoch": 0.16578627907739754,
2288
+ "grad_norm": 0.6238591074943542,
2289
+ "learning_rate": 3.995052558835377e-05,
2290
+ "loss": 0.8076,
2291
+ "step": 10106
2292
+ },
2293
+ {
2294
+ "epoch": 0.16629482594573314,
2295
+ "grad_norm": 0.7085210680961609,
2296
+ "learning_rate": 3.988313109368017e-05,
2297
+ "loss": 0.8115,
2298
+ "step": 10137
2299
+ },
2300
+ {
2301
+ "epoch": 0.1668033728140687,
2302
+ "grad_norm": 0.6768177151679993,
2303
+ "learning_rate": 3.981556864489504e-05,
2304
+ "loss": 0.8112,
2305
+ "step": 10168
2306
+ },
2307
+ {
2308
+ "epoch": 0.16731191968240428,
2309
+ "grad_norm": 0.7513672113418579,
2310
+ "learning_rate": 3.974783900443142e-05,
2311
+ "loss": 0.8065,
2312
+ "step": 10199
2313
+ },
2314
+ {
2315
+ "epoch": 0.16782046655073984,
2316
+ "grad_norm": 0.7792861461639404,
2317
+ "learning_rate": 3.9679942936609095e-05,
2318
+ "loss": 0.8116,
2319
+ "step": 10230
2320
+ },
2321
+ {
2322
+ "epoch": 0.16832901341907544,
2323
+ "grad_norm": 0.7917279005050659,
2324
+ "learning_rate": 3.961188120762596e-05,
2325
+ "loss": 0.8167,
2326
+ "step": 10261
2327
+ },
2328
+ {
2329
+ "epoch": 0.168837560287411,
2330
+ "grad_norm": 0.6312729120254517,
2331
+ "learning_rate": 3.954365458554938e-05,
2332
+ "loss": 0.8001,
2333
+ "step": 10292
2334
+ },
2335
+ {
2336
+ "epoch": 0.16934610715574658,
2337
+ "grad_norm": 0.7990860342979431,
2338
+ "learning_rate": 3.947526384030751e-05,
2339
+ "loss": 0.8144,
2340
+ "step": 10323
2341
+ },
2342
+ {
2343
+ "epoch": 0.16985465402408215,
2344
+ "grad_norm": 0.6678237915039062,
2345
+ "learning_rate": 3.9406709743680624e-05,
2346
+ "loss": 0.8188,
2347
+ "step": 10354
2348
+ },
2349
+ {
2350
+ "epoch": 0.17036320089241774,
2351
+ "grad_norm": 0.7347424030303955,
2352
+ "learning_rate": 3.9337993069292366e-05,
2353
+ "loss": 0.8046,
2354
+ "step": 10385
2355
+ },
2356
+ {
2357
+ "epoch": 0.1708717477607533,
2358
+ "grad_norm": 0.8631488084793091,
2359
+ "learning_rate": 3.926911459260109e-05,
2360
+ "loss": 0.8083,
2361
+ "step": 10416
2362
+ },
2363
+ {
2364
+ "epoch": 0.17138029462908888,
2365
+ "grad_norm": 0.9645228981971741,
2366
+ "learning_rate": 3.920007509089102e-05,
2367
+ "loss": 0.81,
2368
+ "step": 10447
2369
+ },
2370
+ {
2371
+ "epoch": 0.17188884149742445,
2372
+ "grad_norm": 0.6585387587547302,
2373
+ "learning_rate": 3.913087534326357e-05,
2374
+ "loss": 0.8044,
2375
+ "step": 10478
2376
+ },
2377
+ {
2378
+ "epoch": 0.17239738836576002,
2379
+ "grad_norm": 0.73898845911026,
2380
+ "learning_rate": 3.9061516130628475e-05,
2381
+ "loss": 0.8042,
2382
+ "step": 10509
2383
+ },
2384
+ {
2385
+ "epoch": 0.17290593523409561,
2386
+ "grad_norm": 0.6710891127586365,
2387
+ "learning_rate": 3.8991998235695025e-05,
2388
+ "loss": 0.8083,
2389
+ "step": 10540
2390
+ },
2391
+ {
2392
+ "epoch": 0.17341448210243118,
2393
+ "grad_norm": 0.9093446731567383,
2394
+ "learning_rate": 3.8922322442963224e-05,
2395
+ "loss": 0.8138,
2396
+ "step": 10571
2397
+ },
2398
+ {
2399
+ "epoch": 0.17392302897076675,
2400
+ "grad_norm": 0.9384357929229736,
2401
+ "learning_rate": 3.885248953871491e-05,
2402
+ "loss": 0.8164,
2403
+ "step": 10602
2404
+ },
2405
+ {
2406
+ "epoch": 0.17443157583910232,
2407
+ "grad_norm": 0.7147036790847778,
2408
+ "learning_rate": 3.8782500311004915e-05,
2409
+ "loss": 0.8098,
2410
+ "step": 10633
2411
+ },
2412
+ {
2413
+ "epoch": 0.17494012270743792,
2414
+ "grad_norm": 0.637306809425354,
2415
+ "learning_rate": 3.871235554965218e-05,
2416
+ "loss": 0.8073,
2417
+ "step": 10664
2418
+ },
2419
+ {
2420
+ "epoch": 0.17544866957577349,
2421
+ "grad_norm": 0.8120321035385132,
2422
+ "learning_rate": 3.864205604623078e-05,
2423
+ "loss": 0.8025,
2424
+ "step": 10695
2425
+ },
2426
+ {
2427
+ "epoch": 0.17595721644410905,
2428
+ "grad_norm": 0.6488457322120667,
2429
+ "learning_rate": 3.857160259406107e-05,
2430
+ "loss": 0.8064,
2431
+ "step": 10726
2432
+ },
2433
+ {
2434
+ "epoch": 0.17646576331244462,
2435
+ "grad_norm": 0.7131192684173584,
2436
+ "learning_rate": 3.8500995988200674e-05,
2437
+ "loss": 0.7985,
2438
+ "step": 10757
2439
+ },
2440
+ {
2441
+ "epoch": 0.17697431018078022,
2442
+ "grad_norm": 0.670443594455719,
2443
+ "learning_rate": 3.843023702543556e-05,
2444
+ "loss": 0.796,
2445
+ "step": 10788
2446
+ },
2447
+ {
2448
+ "epoch": 0.1774828570491158,
2449
+ "grad_norm": 0.7011746168136597,
2450
+ "learning_rate": 3.8359326504270984e-05,
2451
+ "loss": 0.8003,
2452
+ "step": 10819
2453
+ },
2454
+ {
2455
+ "epoch": 0.17799140391745136,
2456
+ "grad_norm": 0.8060140013694763,
2457
+ "learning_rate": 3.828826522492255e-05,
2458
+ "loss": 0.8061,
2459
+ "step": 10850
2460
+ },
2461
+ {
2462
+ "epoch": 0.17849995078578693,
2463
+ "grad_norm": 0.7718575596809387,
2464
+ "learning_rate": 3.821705398930713e-05,
2465
+ "loss": 0.8036,
2466
+ "step": 10881
2467
+ },
2468
+ {
2469
+ "epoch": 0.17900849765412252,
2470
+ "grad_norm": 0.7823585271835327,
2471
+ "learning_rate": 3.814569360103385e-05,
2472
+ "loss": 0.8106,
2473
+ "step": 10912
2474
+ },
2475
+ {
2476
+ "epoch": 0.1795170445224581,
2477
+ "grad_norm": 0.7017777562141418,
2478
+ "learning_rate": 3.807418486539499e-05,
2479
+ "loss": 0.8003,
2480
+ "step": 10943
2481
+ },
2482
+ {
2483
+ "epoch": 0.18002559139079366,
2484
+ "grad_norm": 0.7048197984695435,
2485
+ "learning_rate": 3.80025285893569e-05,
2486
+ "loss": 0.8029,
2487
+ "step": 10974
2488
+ },
2489
+ {
2490
+ "epoch": 0.18053413825912923,
2491
+ "grad_norm": 0.8400728702545166,
2492
+ "learning_rate": 3.793072558155093e-05,
2493
+ "loss": 0.805,
2494
+ "step": 11005
2495
+ },
2496
+ {
2497
+ "epoch": 0.18104268512746483,
2498
+ "grad_norm": 0.7969333529472351,
2499
+ "learning_rate": 3.785877665226426e-05,
2500
+ "loss": 0.8056,
2501
+ "step": 11036
2502
+ },
2503
+ {
2504
+ "epoch": 0.1815512319958004,
2505
+ "grad_norm": 0.6908184289932251,
2506
+ "learning_rate": 3.778668261343079e-05,
2507
+ "loss": 0.8039,
2508
+ "step": 11067
2509
+ },
2510
+ {
2511
+ "epoch": 0.18205977886413596,
2512
+ "grad_norm": 0.6934013366699219,
2513
+ "learning_rate": 3.771444427862192e-05,
2514
+ "loss": 0.8008,
2515
+ "step": 11098
2516
+ },
2517
+ {
2518
+ "epoch": 0.18256832573247153,
2519
+ "grad_norm": 0.7259966135025024,
2520
+ "learning_rate": 3.7642062463037465e-05,
2521
+ "loss": 0.7957,
2522
+ "step": 11129
2523
+ },
2524
+ {
2525
+ "epoch": 0.1830768726008071,
2526
+ "grad_norm": 0.7105860114097595,
2527
+ "learning_rate": 3.7569537983496373e-05,
2528
+ "loss": 0.7957,
2529
+ "step": 11160
2530
+ },
2531
+ {
2532
+ "epoch": 0.1835854194691427,
2533
+ "grad_norm": 0.6623875498771667,
2534
+ "learning_rate": 3.749687165842753e-05,
2535
+ "loss": 0.8021,
2536
+ "step": 11191
2537
+ },
2538
+ {
2539
+ "epoch": 0.18409396633747827,
2540
+ "grad_norm": 0.808876097202301,
2541
+ "learning_rate": 3.7424064307860536e-05,
2542
+ "loss": 0.8129,
2543
+ "step": 11222
2544
+ },
2545
+ {
2546
+ "epoch": 0.18460251320581383,
2547
+ "grad_norm": 0.755043089389801,
2548
+ "learning_rate": 3.735111675341645e-05,
2549
+ "loss": 0.8068,
2550
+ "step": 11253
2551
+ },
2552
+ {
2553
+ "epoch": 0.1851110600741494,
2554
+ "grad_norm": 0.7748656272888184,
2555
+ "learning_rate": 3.7278029818298524e-05,
2556
+ "loss": 0.8131,
2557
+ "step": 11284
2558
+ },
2559
+ {
2560
+ "epoch": 0.185619606942485,
2561
+ "grad_norm": 0.6566419005393982,
2562
+ "learning_rate": 3.720480432728287e-05,
2563
+ "loss": 0.8037,
2564
+ "step": 11315
2565
+ },
2566
+ {
2567
+ "epoch": 0.18612815381082057,
2568
+ "grad_norm": 0.6518455147743225,
2569
+ "learning_rate": 3.71314411067092e-05,
2570
+ "loss": 0.8069,
2571
+ "step": 11346
2572
+ },
2573
+ {
2574
+ "epoch": 0.18663670067915614,
2575
+ "grad_norm": 0.7275470495223999,
2576
+ "learning_rate": 3.70579409844715e-05,
2577
+ "loss": 0.802,
2578
+ "step": 11377
2579
+ },
2580
+ {
2581
+ "epoch": 0.1871452475474917,
2582
+ "grad_norm": 0.7270357012748718,
2583
+ "learning_rate": 3.698430479000865e-05,
2584
+ "loss": 0.8014,
2585
+ "step": 11408
2586
+ },
2587
+ {
2588
+ "epoch": 0.1876537944158273,
2589
+ "grad_norm": 0.6800552606582642,
2590
+ "learning_rate": 3.691053335429509e-05,
2591
+ "loss": 0.7999,
2592
+ "step": 11439
2593
+ },
2594
+ {
2595
+ "epoch": 0.18816234128416287,
2596
+ "grad_norm": 0.7155413031578064,
2597
+ "learning_rate": 3.683662750983147e-05,
2598
+ "loss": 0.8042,
2599
+ "step": 11470
2600
+ },
2601
+ {
2602
+ "epoch": 0.18867088815249844,
2603
+ "grad_norm": 0.7547886371612549,
2604
+ "learning_rate": 3.676258809063518e-05,
2605
+ "loss": 0.8036,
2606
+ "step": 11501
2607
+ },
2608
+ {
2609
+ "epoch": 0.189179435020834,
2610
+ "grad_norm": 0.7590459585189819,
2611
+ "learning_rate": 3.6688415932231004e-05,
2612
+ "loss": 0.8002,
2613
+ "step": 11532
2614
+ },
2615
+ {
2616
+ "epoch": 0.1896879818891696,
2617
+ "grad_norm": 0.7052833437919617,
2618
+ "learning_rate": 3.661411187164166e-05,
2619
+ "loss": 0.8012,
2620
+ "step": 11563
2621
+ },
2622
+ {
2623
+ "epoch": 0.19019652875750517,
2624
+ "grad_norm": 0.8168420791625977,
2625
+ "learning_rate": 3.65396767473784e-05,
2626
+ "loss": 0.8153,
2627
+ "step": 11594
2628
+ },
2629
+ {
2630
+ "epoch": 0.19070507562584074,
2631
+ "grad_norm": 0.6579718589782715,
2632
+ "learning_rate": 3.6465111399431465e-05,
2633
+ "loss": 0.8044,
2634
+ "step": 11625
2635
+ },
2636
+ {
2637
+ "epoch": 0.1912136224941763,
2638
+ "grad_norm": 0.7866760492324829,
2639
+ "learning_rate": 3.6390416669260674e-05,
2640
+ "loss": 0.8033,
2641
+ "step": 11656
2642
+ },
2643
+ {
2644
+ "epoch": 0.1917221693625119,
2645
+ "grad_norm": 0.6293924450874329,
2646
+ "learning_rate": 3.63155933997859e-05,
2647
+ "loss": 0.7945,
2648
+ "step": 11687
2649
+ },
2650
+ {
2651
+ "epoch": 0.19223071623084748,
2652
+ "grad_norm": 0.8991072773933411,
2653
+ "learning_rate": 3.624064243537758e-05,
2654
+ "loss": 0.7971,
2655
+ "step": 11718
2656
+ },
2657
+ {
2658
+ "epoch": 0.19273926309918304,
2659
+ "grad_norm": 0.7595002055168152,
2660
+ "learning_rate": 3.616556462184716e-05,
2661
+ "loss": 0.8051,
2662
+ "step": 11749
2663
+ },
2664
+ {
2665
+ "epoch": 0.1932478099675186,
2666
+ "grad_norm": 0.6522486209869385,
2667
+ "learning_rate": 3.609036080643755e-05,
2668
+ "loss": 0.8089,
2669
+ "step": 11780
2670
+ },
2671
+ {
2672
+ "epoch": 0.19375635683585418,
2673
+ "grad_norm": 0.7773357629776001,
2674
+ "learning_rate": 3.60150318378136e-05,
2675
+ "loss": 0.794,
2676
+ "step": 11811
2677
+ },
2678
+ {
2679
+ "epoch": 0.19426490370418978,
2680
+ "grad_norm": 0.5722661018371582,
2681
+ "learning_rate": 3.5939578566052465e-05,
2682
+ "loss": 0.8024,
2683
+ "step": 11842
2684
+ },
2685
+ {
2686
+ "epoch": 0.19477345057252535,
2687
+ "grad_norm": 0.6683876514434814,
2688
+ "learning_rate": 3.586400184263408e-05,
2689
+ "loss": 0.807,
2690
+ "step": 11873
2691
+ },
2692
+ {
2693
+ "epoch": 0.19528199744086092,
2694
+ "grad_norm": 0.7072450518608093,
2695
+ "learning_rate": 3.578830252043148e-05,
2696
+ "loss": 0.8025,
2697
+ "step": 11904
2698
+ },
2699
+ {
2700
+ "epoch": 0.19579054430919648,
2701
+ "grad_norm": 0.884564995765686,
2702
+ "learning_rate": 3.571248145370125e-05,
2703
+ "loss": 0.7972,
2704
+ "step": 11935
2705
+ },
2706
+ {
2707
+ "epoch": 0.19629909117753208,
2708
+ "grad_norm": 1.0629959106445312,
2709
+ "learning_rate": 3.5636539498073794e-05,
2710
+ "loss": 0.8089,
2711
+ "step": 11966
2712
+ },
2713
+ {
2714
+ "epoch": 0.19680763804586765,
2715
+ "grad_norm": 0.6376608610153198,
2716
+ "learning_rate": 3.556047751054378e-05,
2717
+ "loss": 0.8012,
2718
+ "step": 11997
2719
+ },
2720
+ {
2721
+ "epoch": 0.19731618491420322,
2722
+ "grad_norm": 0.6260228157043457,
2723
+ "learning_rate": 3.548429634946039e-05,
2724
+ "loss": 0.7978,
2725
+ "step": 12028
2726
+ },
2727
+ {
2728
+ "epoch": 0.1978247317825388,
2729
+ "grad_norm": 0.8349230289459229,
2730
+ "learning_rate": 3.540799687451768e-05,
2731
+ "loss": 0.8027,
2732
+ "step": 12059
2733
+ },
2734
+ {
2735
+ "epoch": 0.19833327865087438,
2736
+ "grad_norm": 0.5764767527580261,
2737
+ "learning_rate": 3.533157994674485e-05,
2738
+ "loss": 0.7966,
2739
+ "step": 12090
2740
+ },
2741
+ {
2742
+ "epoch": 0.19884182551920995,
2743
+ "grad_norm": 0.7782206535339355,
2744
+ "learning_rate": 3.5255046428496546e-05,
2745
+ "loss": 0.8068,
2746
+ "step": 12121
2747
+ },
2748
+ {
2749
+ "epoch": 0.19935037238754552,
2750
+ "grad_norm": 0.6693763136863708,
2751
+ "learning_rate": 3.517839718344311e-05,
2752
+ "loss": 0.801,
2753
+ "step": 12152
2754
+ },
2755
+ {
2756
+ "epoch": 0.1998589192558811,
2757
+ "grad_norm": 0.7616300582885742,
2758
+ "learning_rate": 3.510163307656086e-05,
2759
+ "loss": 0.8016,
2760
+ "step": 12183
2761
+ },
2762
+ {
2763
+ "epoch": 0.2003674661242167,
2764
+ "grad_norm": 0.713007390499115,
2765
+ "learning_rate": 3.5024754974122324e-05,
2766
+ "loss": 0.8069,
2767
+ "step": 12214
2768
+ },
2769
+ {
2770
+ "epoch": 0.20087601299255226,
2771
+ "grad_norm": 0.7186658382415771,
2772
+ "learning_rate": 3.494776374368643e-05,
2773
+ "loss": 0.8004,
2774
+ "step": 12245
2775
+ },
2776
+ {
2777
+ "epoch": 0.20138455986088782,
2778
+ "grad_norm": 0.8170626163482666,
2779
+ "learning_rate": 3.4870660254088724e-05,
2780
+ "loss": 0.7951,
2781
+ "step": 12276
2782
+ },
2783
+ {
2784
+ "epoch": 0.2018931067292234,
2785
+ "grad_norm": 0.7292721271514893,
2786
+ "learning_rate": 3.479344537543164e-05,
2787
+ "loss": 0.7931,
2788
+ "step": 12307
2789
+ },
2790
+ {
2791
+ "epoch": 0.20240165359755896,
2792
+ "grad_norm": 0.726301372051239,
2793
+ "learning_rate": 3.4716119979074565e-05,
2794
+ "loss": 0.7968,
2795
+ "step": 12338
2796
+ },
2797
+ {
2798
+ "epoch": 0.20291020046589456,
2799
+ "grad_norm": 0.7788697481155396,
2800
+ "learning_rate": 3.463868493762412e-05,
2801
+ "loss": 0.79,
2802
+ "step": 12369
2803
+ },
2804
+ {
2805
+ "epoch": 0.20341874733423013,
2806
+ "grad_norm": 0.8112415671348572,
2807
+ "learning_rate": 3.456114112492418e-05,
2808
+ "loss": 0.8025,
2809
+ "step": 12400
2810
+ },
2811
+ {
2812
+ "epoch": 0.2039272942025657,
2813
+ "grad_norm": 0.7649407982826233,
2814
+ "learning_rate": 3.4483489416046164e-05,
2815
+ "loss": 0.7944,
2816
+ "step": 12431
2817
+ },
2818
+ {
2819
+ "epoch": 0.20443584107090126,
2820
+ "grad_norm": 0.7772629261016846,
2821
+ "learning_rate": 3.440573068727905e-05,
2822
+ "loss": 0.8003,
2823
+ "step": 12462
2824
+ },
2825
+ {
2826
+ "epoch": 0.20494438793923686,
2827
+ "grad_norm": 0.7811031341552734,
2828
+ "learning_rate": 3.4327865816119495e-05,
2829
+ "loss": 0.8002,
2830
+ "step": 12493
2831
+ },
2832
+ {
2833
+ "epoch": 0.20545293480757243,
2834
+ "grad_norm": 0.7882823944091797,
2835
+ "learning_rate": 3.4249895681262025e-05,
2836
+ "loss": 0.802,
2837
+ "step": 12524
2838
+ },
2839
+ {
2840
+ "epoch": 0.205961481675908,
2841
+ "grad_norm": 0.7304728031158447,
2842
+ "learning_rate": 3.417182116258899e-05,
2843
+ "loss": 0.8014,
2844
+ "step": 12555
2845
+ },
2846
+ {
2847
+ "epoch": 0.20647002854424357,
2848
+ "grad_norm": 0.7437602877616882,
2849
+ "learning_rate": 3.409364314116074e-05,
2850
+ "loss": 0.8059,
2851
+ "step": 12586
2852
+ },
2853
+ {
2854
+ "epoch": 0.20697857541257916,
2855
+ "grad_norm": 0.7569501996040344,
2856
+ "learning_rate": 3.401536249920559e-05,
2857
+ "loss": 0.7971,
2858
+ "step": 12617
2859
+ },
2860
+ {
2861
+ "epoch": 0.20748712228091473,
2862
+ "grad_norm": 0.6882267594337463,
2863
+ "learning_rate": 3.393698012010998e-05,
2864
+ "loss": 0.7959,
2865
+ "step": 12648
2866
+ },
2867
+ {
2868
+ "epoch": 0.2079956691492503,
2869
+ "grad_norm": 0.7867191433906555,
2870
+ "learning_rate": 3.385849688840839e-05,
2871
+ "loss": 0.8023,
2872
+ "step": 12679
2873
+ },
2874
+ {
2875
+ "epoch": 0.20850421601758587,
2876
+ "grad_norm": 0.7310858368873596,
2877
+ "learning_rate": 3.3779913689773414e-05,
2878
+ "loss": 0.7906,
2879
+ "step": 12710
2880
+ },
2881
+ {
2882
+ "epoch": 0.20901276288592147,
2883
+ "grad_norm": 1.3257224559783936,
2884
+ "learning_rate": 3.370123141100578e-05,
2885
+ "loss": 0.8019,
2886
+ "step": 12741
2887
+ },
2888
+ {
2889
+ "epoch": 0.20952130975425703,
2890
+ "grad_norm": 0.6054298877716064,
2891
+ "learning_rate": 3.3622450940024305e-05,
2892
+ "loss": 0.7863,
2893
+ "step": 12772
2894
+ },
2895
+ {
2896
+ "epoch": 0.2100298566225926,
2897
+ "grad_norm": 0.7246784567832947,
2898
+ "learning_rate": 3.35435731658559e-05,
2899
+ "loss": 0.8038,
2900
+ "step": 12803
2901
+ },
2902
+ {
2903
+ "epoch": 0.21053840349092817,
2904
+ "grad_norm": 0.5992689728736877,
2905
+ "learning_rate": 3.346459897862552e-05,
2906
+ "loss": 0.7869,
2907
+ "step": 12834
2908
+ },
2909
+ {
2910
+ "epoch": 0.21104695035926377,
2911
+ "grad_norm": 0.813422441482544,
2912
+ "learning_rate": 3.338552926954613e-05,
2913
+ "loss": 0.796,
2914
+ "step": 12865
2915
+ },
2916
+ {
2917
+ "epoch": 0.21155549722759934,
2918
+ "grad_norm": 0.7040281891822815,
2919
+ "learning_rate": 3.330636493090868e-05,
2920
+ "loss": 0.8024,
2921
+ "step": 12896
2922
+ },
2923
+ {
2924
+ "epoch": 0.2120640440959349,
2925
+ "grad_norm": 0.6306488513946533,
2926
+ "learning_rate": 3.322710685607193e-05,
2927
+ "loss": 0.7938,
2928
+ "step": 12927
2929
+ },
2930
+ {
2931
+ "epoch": 0.21257259096427047,
2932
+ "grad_norm": 0.7233445048332214,
2933
+ "learning_rate": 3.314775593945251e-05,
2934
+ "loss": 0.8005,
2935
+ "step": 12958
2936
+ },
2937
+ {
2938
+ "epoch": 0.21308113783260604,
2939
+ "grad_norm": 0.6896563172340393,
2940
+ "learning_rate": 3.3068313076514714e-05,
2941
+ "loss": 0.7953,
2942
+ "step": 12989
2943
+ },
2944
+ {
2945
+ "epoch": 0.21358968470094164,
2946
+ "grad_norm": 0.6153748631477356,
2947
+ "learning_rate": 3.298877916376047e-05,
2948
+ "loss": 0.8016,
2949
+ "step": 13020
2950
+ },
2951
+ {
2952
+ "epoch": 0.2140982315692772,
2953
+ "grad_norm": 0.6767333745956421,
2954
+ "learning_rate": 3.290915509871915e-05,
2955
+ "loss": 0.7962,
2956
+ "step": 13051
2957
+ },
2958
+ {
2959
+ "epoch": 0.21460677843761278,
2960
+ "grad_norm": 0.7829506993293762,
2961
+ "learning_rate": 3.282944177993753e-05,
2962
+ "loss": 0.8015,
2963
+ "step": 13082
2964
+ },
2965
+ {
2966
+ "epoch": 0.21511532530594835,
2967
+ "grad_norm": 0.7379277348518372,
2968
+ "learning_rate": 3.274964010696957e-05,
2969
+ "loss": 0.7917,
2970
+ "step": 13113
2971
+ },
2972
+ {
2973
+ "epoch": 0.21562387217428394,
2974
+ "grad_norm": 0.6824074387550354,
2975
+ "learning_rate": 3.266975098036629e-05,
2976
+ "loss": 0.7958,
2977
+ "step": 13144
2978
+ },
2979
+ {
2980
+ "epoch": 0.2161324190426195,
2981
+ "grad_norm": 0.6095326542854309,
2982
+ "learning_rate": 3.258977530166562e-05,
2983
+ "loss": 0.7936,
2984
+ "step": 13175
2985
+ },
2986
+ {
2987
+ "epoch": 0.21664096591095508,
2988
+ "grad_norm": 0.7830429673194885,
2989
+ "learning_rate": 3.250971397338227e-05,
2990
+ "loss": 0.8008,
2991
+ "step": 13206
2992
+ },
2993
+ {
2994
+ "epoch": 0.21714951277929065,
2995
+ "grad_norm": 0.7481824159622192,
2996
+ "learning_rate": 3.2429567898997404e-05,
2997
+ "loss": 0.794,
2998
+ "step": 13237
2999
+ },
3000
+ {
3001
+ "epoch": 0.21765805964762625,
3002
+ "grad_norm": 0.6584956645965576,
3003
+ "learning_rate": 3.234933798294859e-05,
3004
+ "loss": 0.7868,
3005
+ "step": 13268
3006
+ },
3007
+ {
3008
+ "epoch": 0.21816660651596181,
3009
+ "grad_norm": 0.8784825801849365,
3010
+ "learning_rate": 3.2269025130619535e-05,
3011
+ "loss": 0.7951,
3012
+ "step": 13299
3013
+ },
3014
+ {
3015
+ "epoch": 0.21867515338429738,
3016
+ "grad_norm": 0.7389800548553467,
3017
+ "learning_rate": 3.218863024832985e-05,
3018
+ "loss": 0.8044,
3019
+ "step": 13330
3020
+ },
3021
+ {
3022
+ "epoch": 0.21918370025263295,
3023
+ "grad_norm": 0.7060415744781494,
3024
+ "learning_rate": 3.2108154243324864e-05,
3025
+ "loss": 0.7937,
3026
+ "step": 13361
3027
+ },
3028
+ {
3029
+ "epoch": 0.21969224712096855,
3030
+ "grad_norm": 0.7183441519737244,
3031
+ "learning_rate": 3.2027598023765345e-05,
3032
+ "loss": 0.7932,
3033
+ "step": 13392
3034
+ },
3035
+ {
3036
+ "epoch": 0.22020079398930412,
3037
+ "grad_norm": 0.6611085534095764,
3038
+ "learning_rate": 3.194696249871729e-05,
3039
+ "loss": 0.7923,
3040
+ "step": 13423
3041
+ },
3042
+ {
3043
+ "epoch": 0.22070934085763969,
3044
+ "grad_norm": 0.7188689708709717,
3045
+ "learning_rate": 3.186624857814164e-05,
3046
+ "loss": 0.7942,
3047
+ "step": 13454
3048
+ },
3049
+ {
3050
+ "epoch": 0.22121788772597525,
3051
+ "grad_norm": 0.7488799691200256,
3052
+ "learning_rate": 3.178545717288401e-05,
3053
+ "loss": 0.8019,
3054
+ "step": 13485
3055
+ },
3056
+ {
3057
+ "epoch": 0.22172643459431085,
3058
+ "grad_norm": 0.8026098012924194,
3059
+ "learning_rate": 3.170458919466444e-05,
3060
+ "loss": 0.7847,
3061
+ "step": 13516
3062
+ },
3063
+ {
3064
+ "epoch": 0.22223498146264642,
3065
+ "grad_norm": 0.7297918200492859,
3066
+ "learning_rate": 3.1623645556067063e-05,
3067
+ "loss": 0.782,
3068
+ "step": 13547
3069
+ },
3070
+ {
3071
+ "epoch": 0.222743528330982,
3072
+ "grad_norm": 0.6407516598701477,
3073
+ "learning_rate": 3.154262717052985e-05,
3074
+ "loss": 0.7909,
3075
+ "step": 13578
3076
+ },
3077
+ {
3078
+ "epoch": 0.22325207519931756,
3079
+ "grad_norm": 0.6573085188865662,
3080
+ "learning_rate": 3.146153495233426e-05,
3081
+ "loss": 0.798,
3082
+ "step": 13609
3083
+ },
3084
+ {
3085
+ "epoch": 0.22376062206765313,
3086
+ "grad_norm": 0.6651787757873535,
3087
+ "learning_rate": 3.1380369816594944e-05,
3088
+ "loss": 0.7991,
3089
+ "step": 13640
3090
+ },
3091
+ {
3092
+ "epoch": 0.22426916893598872,
3093
+ "grad_norm": 0.7072126269340515,
3094
+ "learning_rate": 3.129913267924946e-05,
3095
+ "loss": 0.7958,
3096
+ "step": 13671
3097
+ },
3098
+ {
3099
+ "epoch": 0.2247777158043243,
3100
+ "grad_norm": 0.6639351844787598,
3101
+ "learning_rate": 3.121782445704782e-05,
3102
+ "loss": 0.7959,
3103
+ "step": 13702
3104
+ },
3105
+ {
3106
+ "epoch": 0.22528626267265986,
3107
+ "grad_norm": 0.6752071976661682,
3108
+ "learning_rate": 3.11364460675423e-05,
3109
+ "loss": 0.7856,
3110
+ "step": 13733
3111
+ },
3112
+ {
3113
+ "epoch": 0.22579480954099543,
3114
+ "grad_norm": 0.7549706101417542,
3115
+ "learning_rate": 3.1054998429076934e-05,
3116
+ "loss": 0.7804,
3117
+ "step": 13764
3118
+ },
3119
+ {
3120
+ "epoch": 0.22630335640933102,
3121
+ "grad_norm": 0.753256618976593,
3122
+ "learning_rate": 3.097348246077728e-05,
3123
+ "loss": 0.7869,
3124
+ "step": 13795
3125
+ },
3126
+ {
3127
+ "epoch": 0.2268119032776666,
3128
+ "grad_norm": 0.7454065084457397,
3129
+ "learning_rate": 3.0891899082539924e-05,
3130
+ "loss": 0.7919,
3131
+ "step": 13826
3132
+ },
3133
+ {
3134
+ "epoch": 0.22732045014600216,
3135
+ "grad_norm": 0.6620218753814697,
3136
+ "learning_rate": 3.0810249215022233e-05,
3137
+ "loss": 0.7904,
3138
+ "step": 13857
3139
+ },
3140
+ {
3141
+ "epoch": 0.22782899701433773,
3142
+ "grad_norm": 0.6351463794708252,
3143
+ "learning_rate": 3.0728533779631865e-05,
3144
+ "loss": 0.7965,
3145
+ "step": 13888
3146
+ },
3147
+ {
3148
+ "epoch": 0.22833754388267333,
3149
+ "grad_norm": 0.7052971124649048,
3150
+ "learning_rate": 3.064675369851637e-05,
3151
+ "loss": 0.7907,
3152
+ "step": 13919
3153
+ },
3154
+ {
3155
+ "epoch": 0.2288460907510089,
3156
+ "grad_norm": 0.7578268647193909,
3157
+ "learning_rate": 3.056490989455289e-05,
3158
+ "loss": 0.7806,
3159
+ "step": 13950
3160
+ },
3161
+ {
3162
+ "epoch": 0.22935463761934446,
3163
+ "grad_norm": 0.6826913356781006,
3164
+ "learning_rate": 3.0483003291337596e-05,
3165
+ "loss": 0.7999,
3166
+ "step": 13981
3167
+ },
3168
+ {
3169
+ "epoch": 0.22986318448768003,
3170
+ "grad_norm": 0.7119861245155334,
3171
+ "learning_rate": 3.040103481317539e-05,
3172
+ "loss": 0.7826,
3173
+ "step": 14012
3174
+ },
3175
+ {
3176
+ "epoch": 0.23037173135601563,
3177
+ "grad_norm": 0.7406447529792786,
3178
+ "learning_rate": 3.03190053850694e-05,
3179
+ "loss": 0.8025,
3180
+ "step": 14043
3181
+ },
3182
+ {
3183
+ "epoch": 0.2308802782243512,
3184
+ "grad_norm": 0.770252525806427,
3185
+ "learning_rate": 3.0236915932710573e-05,
3186
+ "loss": 0.7773,
3187
+ "step": 14074
3188
+ },
3189
+ {
3190
+ "epoch": 0.23138882509268677,
3191
+ "grad_norm": 0.6395714282989502,
3192
+ "learning_rate": 3.0154767382467232e-05,
3193
+ "loss": 0.785,
3194
+ "step": 14105
3195
+ },
3196
+ {
3197
+ "epoch": 0.23189737196102234,
3198
+ "grad_norm": 0.6831480860710144,
3199
+ "learning_rate": 3.0072560661374582e-05,
3200
+ "loss": 0.7875,
3201
+ "step": 14136
3202
+ },
3203
+ {
3204
+ "epoch": 0.2324059188293579,
3205
+ "grad_norm": 0.7098875045776367,
3206
+ "learning_rate": 2.999029669712431e-05,
3207
+ "loss": 0.787,
3208
+ "step": 14167
3209
+ },
3210
+ {
3211
+ "epoch": 0.2329144656976935,
3212
+ "grad_norm": 0.6381131410598755,
3213
+ "learning_rate": 2.990797641805408e-05,
3214
+ "loss": 0.7833,
3215
+ "step": 14198
3216
+ },
3217
+ {
3218
+ "epoch": 0.23342301256602907,
3219
+ "grad_norm": 0.596955418586731,
3220
+ "learning_rate": 2.982560075313704e-05,
3221
+ "loss": 0.7855,
3222
+ "step": 14229
3223
+ },
3224
+ {
3225
+ "epoch": 0.23393155943436464,
3226
+ "grad_norm": 0.7009894251823425,
3227
+ "learning_rate": 2.9743170631971368e-05,
3228
+ "loss": 0.7878,
3229
+ "step": 14260
3230
+ },
3231
+ {
3232
+ "epoch": 0.2344401063027002,
3233
+ "grad_norm": 0.6335345506668091,
3234
+ "learning_rate": 2.9660686984769792e-05,
3235
+ "loss": 0.789,
3236
+ "step": 14291
3237
+ },
3238
+ {
3239
+ "epoch": 0.2349486531710358,
3240
+ "grad_norm": 0.7286679744720459,
3241
+ "learning_rate": 2.9578150742349047e-05,
3242
+ "loss": 0.7829,
3243
+ "step": 14322
3244
+ },
3245
+ {
3246
+ "epoch": 0.23545720003937137,
3247
+ "grad_norm": 0.6701176762580872,
3248
+ "learning_rate": 2.949556283611942e-05,
3249
+ "loss": 0.7849,
3250
+ "step": 14353
3251
+ },
3252
+ {
3253
+ "epoch": 0.23596574690770694,
3254
+ "grad_norm": 0.66264808177948,
3255
+ "learning_rate": 2.9412924198074206e-05,
3256
+ "loss": 0.7885,
3257
+ "step": 14384
3258
+ },
3259
+ {
3260
+ "epoch": 0.2364742937760425,
3261
+ "grad_norm": 0.667914092540741,
3262
+ "learning_rate": 2.9330235760779208e-05,
3263
+ "loss": 0.7778,
3264
+ "step": 14415
3265
+ },
3266
+ {
3267
+ "epoch": 0.2369828406443781,
3268
+ "grad_norm": 0.8150202631950378,
3269
+ "learning_rate": 2.9247498457362188e-05,
3270
+ "loss": 0.7853,
3271
+ "step": 14446
3272
+ },
3273
+ {
3274
+ "epoch": 0.23749138751271368,
3275
+ "grad_norm": 0.5859449505805969,
3276
+ "learning_rate": 2.9164713221502373e-05,
3277
+ "loss": 0.7864,
3278
+ "step": 14477
3279
+ },
3280
+ {
3281
+ "epoch": 0.23799993438104924,
3282
+ "grad_norm": 0.7201155424118042,
3283
+ "learning_rate": 2.9081880987419912e-05,
3284
+ "loss": 0.7916,
3285
+ "step": 14508
3286
+ },
3287
+ {
3288
+ "epoch": 0.2385084812493848,
3289
+ "grad_norm": 0.7527777552604675,
3290
+ "learning_rate": 2.8999002689865296e-05,
3291
+ "loss": 0.7936,
3292
+ "step": 14539
3293
+ },
3294
+ {
3295
+ "epoch": 0.2390170281177204,
3296
+ "grad_norm": 0.6069589257240295,
3297
+ "learning_rate": 2.8916079264108852e-05,
3298
+ "loss": 0.7859,
3299
+ "step": 14570
3300
+ },
3301
+ {
3302
+ "epoch": 0.23952557498605598,
3303
+ "grad_norm": 0.7169609665870667,
3304
+ "learning_rate": 2.883311164593017e-05,
3305
+ "loss": 0.7924,
3306
+ "step": 14601
3307
+ },
3308
+ {
3309
+ "epoch": 0.24003412185439155,
3310
+ "grad_norm": 0.8076769113540649,
3311
+ "learning_rate": 2.875010077160754e-05,
3312
+ "loss": 0.782,
3313
+ "step": 14632
3314
+ },
3315
+ {
3316
+ "epoch": 0.24054266872272712,
3317
+ "grad_norm": 0.6854205131530762,
3318
+ "learning_rate": 2.866704757790741e-05,
3319
+ "loss": 0.782,
3320
+ "step": 14663
3321
+ },
3322
+ {
3323
+ "epoch": 0.2410512155910627,
3324
+ "grad_norm": 0.7560341954231262,
3325
+ "learning_rate": 2.858395300207376e-05,
3326
+ "loss": 0.7817,
3327
+ "step": 14694
3328
+ },
3329
+ {
3330
+ "epoch": 0.24155976245939828,
3331
+ "grad_norm": 0.7103577852249146,
3332
+ "learning_rate": 2.8500817981817607e-05,
3333
+ "loss": 0.7768,
3334
+ "step": 14725
3335
+ },
3336
+ {
3337
+ "epoch": 0.24206830932773385,
3338
+ "grad_norm": 0.817848801612854,
3339
+ "learning_rate": 2.8417643455306336e-05,
3340
+ "loss": 0.792,
3341
+ "step": 14756
3342
+ },
3343
+ {
3344
+ "epoch": 0.24257685619606942,
3345
+ "grad_norm": 0.6548598408699036,
3346
+ "learning_rate": 2.8334430361153185e-05,
3347
+ "loss": 0.782,
3348
+ "step": 14787
3349
+ },
3350
+ {
3351
+ "epoch": 0.243085403064405,
3352
+ "grad_norm": 0.6912696361541748,
3353
+ "learning_rate": 2.8251179638406612e-05,
3354
+ "loss": 0.7861,
3355
+ "step": 14818
3356
+ },
3357
+ {
3358
+ "epoch": 0.24359394993274058,
3359
+ "grad_norm": 0.6805686354637146,
3360
+ "learning_rate": 2.8167892226539704e-05,
3361
+ "loss": 0.7894,
3362
+ "step": 14849
3363
+ },
3364
+ {
3365
+ "epoch": 0.24410249680107615,
3366
+ "grad_norm": 0.5849490761756897,
3367
+ "learning_rate": 2.8084569065439588e-05,
3368
+ "loss": 0.7907,
3369
+ "step": 14880
3370
+ },
3371
+ {
3372
+ "epoch": 0.24461104366941172,
3373
+ "grad_norm": 0.7393238544464111,
3374
+ "learning_rate": 2.8001211095396807e-05,
3375
+ "loss": 0.7883,
3376
+ "step": 14911
3377
+ },
3378
+ {
3379
+ "epoch": 0.2451195905377473,
3380
+ "grad_norm": 0.690922737121582,
3381
+ "learning_rate": 2.791781925709473e-05,
3382
+ "loss": 0.7941,
3383
+ "step": 14942
3384
+ },
3385
+ {
3386
+ "epoch": 0.24562813740608289,
3387
+ "grad_norm": 0.656465470790863,
3388
+ "learning_rate": 2.7834394491598908e-05,
3389
+ "loss": 0.7848,
3390
+ "step": 14973
3391
+ },
3392
+ {
3393
+ "epoch": 0.24613668427441845,
3394
+ "grad_norm": 0.792340874671936,
3395
+ "learning_rate": 2.7750937740346485e-05,
3396
+ "loss": 0.7797,
3397
+ "step": 15004
3398
+ },
3399
+ {
3400
+ "epoch": 0.24664523114275402,
3401
+ "grad_norm": 0.8570295572280884,
3402
+ "learning_rate": 2.7667449945135564e-05,
3403
+ "loss": 0.7858,
3404
+ "step": 15035
3405
+ },
3406
+ {
3407
+ "epoch": 0.2471537780110896,
3408
+ "grad_norm": 0.732994019985199,
3409
+ "learning_rate": 2.7583932048114557e-05,
3410
+ "loss": 0.7948,
3411
+ "step": 15066
3412
+ },
3413
+ {
3414
+ "epoch": 0.2476623248794252,
3415
+ "grad_norm": 0.6685490012168884,
3416
+ "learning_rate": 2.7500384991771587e-05,
3417
+ "loss": 0.785,
3418
+ "step": 15097
3419
+ },
3420
+ {
3421
+ "epoch": 0.24817087174776076,
3422
+ "grad_norm": 0.663078784942627,
3423
+ "learning_rate": 2.7416809718923825e-05,
3424
+ "loss": 0.7907,
3425
+ "step": 15128
3426
+ },
3427
+ {
3428
+ "epoch": 0.24867941861609633,
3429
+ "grad_norm": 0.6979624629020691,
3430
+ "learning_rate": 2.7333207172706864e-05,
3431
+ "loss": 0.7828,
3432
+ "step": 15159
3433
+ },
3434
+ {
3435
+ "epoch": 0.2491879654844319,
3436
+ "grad_norm": 0.7100898623466492,
3437
+ "learning_rate": 2.7249578296564088e-05,
3438
+ "loss": 0.7806,
3439
+ "step": 15190
3440
+ },
3441
+ {
3442
+ "epoch": 0.2496965123527675,
3443
+ "grad_norm": 0.6383324861526489,
3444
+ "learning_rate": 2.7165924034235973e-05,
3445
+ "loss": 0.788,
3446
+ "step": 15221
3447
+ },
3448
+ {
3449
+ "epoch": 0.25020505922110303,
3450
+ "grad_norm": 0.7812869548797607,
3451
+ "learning_rate": 2.708224532974953e-05,
3452
+ "loss": 0.7828,
3453
+ "step": 15252
3454
+ }
3455
+ ],
3456
+ "logging_steps": 31,
3457
+ "max_steps": 30517,
3458
+ "num_input_tokens_seen": 0,
3459
+ "num_train_epochs": 1,
3460
+ "save_steps": 7630,
3461
+ "stateful_callbacks": {
3462
+ "TrainerControl": {
3463
+ "args": {
3464
+ "should_epoch_stop": false,
3465
+ "should_evaluate": false,
3466
+ "should_log": false,
3467
+ "should_save": true,
3468
+ "should_training_stop": false
3469
+ },
3470
+ "attributes": {}
3471
+ }
3472
+ },
3473
+ "total_flos": 1.060677039050195e+19,
3474
+ "train_batch_size": 16,
3475
+ "trial_name": null,
3476
+ "trial_params": null
3477
+ }
checkpoint-15260/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ccd50401a2375309265c34189611a5ae09454df790077a35872105ac2d8457b
3
+ size 5240
checkpoint-22890/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 131072,
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": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_mrope": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
checkpoint-22890/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.44.0.dev0"
6
+ }
checkpoint-22890/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f9daa802216433a0cd9df715af8c9749ce287c5912a234a617ed177e22af200
3
+ size 4976687216
checkpoint-22890/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faab92c079dee70573da2aa38bf83c1a2a2858fbee7104c30f77e30eb62ed67f
3
+ size 4778622352
checkpoint-22890/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d579560f2723d4a62b22ef6ec0d935dfbc2ddf0f14fc9efeac83bf5b586bf9d6
3
+ size 4932743960
checkpoint-22890/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:089cf99962fd351ceb590220ea351f1d18937b35376077982b276416f768317a
3
+ size 4932743992
checkpoint-22890/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b61bee4a8b5e41f744ec0820def58c39c0c333e6787b7e24146468348f082a0
3
+ size 4998852296
checkpoint-22890/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b69c0fc2847b3d693109731b3ab54a157c9139cb45579f5a6f0d266d9b4b4c1
3
+ size 3662865184
checkpoint-22890/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa0a1feb11bddb9c87fbb06fb2d259ea801cfb88805895e083c4ee8638696535
3
+ size 2179989632
checkpoint-22890/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30462466048
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-22890/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86c80b5735d618d171bbee209bb871d329fa1b8e2b75a19a63d0dbd888539f10
3
+ size 16177880918
checkpoint-22890/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-22890/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9cceae98d85860224f83926a9c2d0797a9f4411abc8a933e66f23226e9ba794a
3
+ size 1064
checkpoint-22890/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-22890/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ccd50401a2375309265c34189611a5ae09454df790077a35872105ac2d8457b
3
+ size 5240
checkpoint-30517/config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 131072,
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": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_mrope": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
checkpoint-30517/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.44.0.dev0"
6
+ }
checkpoint-30517/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa5cfcc647c3b93c15bd0ae0029576ede7169dea9ff453985cdd0010627103ff
3
+ size 4976687216
checkpoint-30517/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:faab92c079dee70573da2aa38bf83c1a2a2858fbee7104c30f77e30eb62ed67f
3
+ size 4778622352
checkpoint-30517/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d579560f2723d4a62b22ef6ec0d935dfbc2ddf0f14fc9efeac83bf5b586bf9d6
3
+ size 4932743960
checkpoint-30517/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:089cf99962fd351ceb590220ea351f1d18937b35376077982b276416f768317a
3
+ size 4932743992
checkpoint-30517/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b61bee4a8b5e41f744ec0820def58c39c0c333e6787b7e24146468348f082a0
3
+ size 4998852296
checkpoint-30517/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a979425a7192f9c299643a648e234b2210bc4800ad7fbe7f4b57ede48f917363
3
+ size 3662865184
checkpoint-30517/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a05164917a7374efba6ff4edc0c7004729c36574d7bb73cf45a33c858ddec2f5
3
+ size 2179989632
checkpoint-30517/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30462466048
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-30517/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f98f00bd41b6586966ca8d87365fa3ec4f04f43e67cb8b2f0f4c4c619de2ca3
3
+ size 16177880918
checkpoint-30517/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-30517/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4d91c597306f26392e8da0d33a09fdcca77cfdeb5ad42248045521772fa3d64e
3
+ size 1064
checkpoint-30517/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-30517/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ccd50401a2375309265c34189611a5ae09454df790077a35872105ac2d8457b
3
+ size 5240
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Qwen/Qwen2.5-7B",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 131072,
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": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_mrope": false,
27
+ "use_sliding_window": false,
28
+ "vocab_size": 152064
29
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.44.0.dev0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa5cfcc647c3b93c15bd0ae0029576ede7169dea9ff453985cdd0010627103ff
3
+ size 4976687216