atsuki-yamaguchi commited on
Commit
10a6d8d
·
verified ·
1 Parent(s): 05edd4f

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. .gitattributes +1 -0
  2. checkpoint-15260/config.json +36 -0
  3. checkpoint-15260/generation_config.json +9 -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 +298 -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 +36 -0
  18. checkpoint-22890/generation_config.json +9 -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 +298 -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 +36 -0
  33. checkpoint-30517/generation_config.json +9 -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 +298 -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. checkpoint-7630/config.json +36 -0
  48. checkpoint-7630/generation_config.json +9 -0
  49. checkpoint-7630/model-00001-of-00007.safetensors +3 -0
  50. checkpoint-7630/model-00002-of-00007.safetensors +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-15260/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.1-8B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": 128001,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 131072,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 8,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": {
24
+ "factor": 8.0,
25
+ "high_freq_factor": 4.0,
26
+ "low_freq_factor": 1.0,
27
+ "original_max_position_embeddings": 8192,
28
+ "rope_type": "llama3"
29
+ },
30
+ "rope_theta": 500000.0,
31
+ "tie_word_embeddings": false,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.47.0.dev0",
34
+ "use_cache": true,
35
+ "vocab_size": 128256
36
+ }
checkpoint-15260/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 128000,
4
+ "do_sample": true,
5
+ "eos_token_id": 128001,
6
+ "temperature": 0.6,
7
+ "top_p": 0.9,
8
+ "transformers_version": "4.47.0.dev0"
9
+ }
checkpoint-15260/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e63b65c07b5ce6557f697ab139801d4866335de9447edd6af4cb8cac4d1b9004
3
+ size 4886466168
checkpoint-15260/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0901d2e156c6ec7a375c3e90ae5183970af0445d3dc0e53c031b45673775dd64
3
+ size 4832007448
checkpoint-15260/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afa0e22bcade9527b5aeb86066e139cc30979f8492c753ff3277e6189863ab97
3
+ size 4999813112
checkpoint-15260/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc4f5352f30ea036b0a4e24ba9b029dd94a2b30a716c81acc1c4a5e7bb47a042
3
+ size 4999813128
checkpoint-15260/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d9450b209df4cb026b6669e618fcdb6ff4f5bd0a711fb2e502afe0b95eb3ad7
3
+ size 4832007496
checkpoint-15260/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31f1426382999cbc18bce154e5ff7ef92eb4fac993d4c4cc5ddffe842caaa081
3
+ size 4999813120
checkpoint-15260/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7f2195de5d64253b75610534c8313fc7a255453cf488826b106de825d1c60081
3
+ size 2571158184
checkpoint-15260/model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 32121044992
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.weight": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
296
+ "model.norm.weight": "model-00007-of-00007.safetensors"
297
+ }
298
+ }
checkpoint-15260/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09d4cbd0f7fa4845fad8ae7d0ec23e1b534598170e2751da243e2ef424c33d16
3
+ size 15385036334
checkpoint-15260/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
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": 0.22409457202121996,
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": 0.0004552379903445491,
13
+ "grad_norm": 3.354947090148926,
14
+ "learning_rate": 1.0157273918741808e-06,
15
+ "loss": 0.8621,
16
+ "step": 31
17
+ },
18
+ {
19
+ "epoch": 0.0009104759806890982,
20
+ "grad_norm": 3.194267511367798,
21
+ "learning_rate": 2.0314547837483616e-06,
22
+ "loss": 0.8454,
23
+ "step": 62
24
+ },
25
+ {
26
+ "epoch": 0.0013657139710336473,
27
+ "grad_norm": 3.3418407440185547,
28
+ "learning_rate": 3.0471821756225426e-06,
29
+ "loss": 0.8311,
30
+ "step": 93
31
+ },
32
+ {
33
+ "epoch": 0.0018209519613781964,
34
+ "grad_norm": 3.1537938117980957,
35
+ "learning_rate": 4.062909567496723e-06,
36
+ "loss": 0.8223,
37
+ "step": 124
38
+ },
39
+ {
40
+ "epoch": 0.0022761899517227454,
41
+ "grad_norm": 3.0637929439544678,
42
+ "learning_rate": 5.078636959370905e-06,
43
+ "loss": 0.8209,
44
+ "step": 155
45
+ },
46
+ {
47
+ "epoch": 0.0027314279420672946,
48
+ "grad_norm": 2.962575912475586,
49
+ "learning_rate": 6.094364351245085e-06,
50
+ "loss": 0.8156,
51
+ "step": 186
52
+ },
53
+ {
54
+ "epoch": 0.0031866659324118435,
55
+ "grad_norm": 3.23154878616333,
56
+ "learning_rate": 7.110091743119267e-06,
57
+ "loss": 0.8072,
58
+ "step": 217
59
+ },
60
+ {
61
+ "epoch": 0.0036419039227563927,
62
+ "grad_norm": 3.17885684967041,
63
+ "learning_rate": 8.125819134993446e-06,
64
+ "loss": 0.8193,
65
+ "step": 248
66
+ },
67
+ {
68
+ "epoch": 0.0040971419131009415,
69
+ "grad_norm": 3.3038201332092285,
70
+ "learning_rate": 9.141546526867629e-06,
71
+ "loss": 0.8186,
72
+ "step": 279
73
+ },
74
+ {
75
+ "epoch": 0.004552379903445491,
76
+ "grad_norm": 3.0357906818389893,
77
+ "learning_rate": 1.015727391874181e-05,
78
+ "loss": 0.8234,
79
+ "step": 310
80
+ },
81
+ {
82
+ "epoch": 0.00500761789379004,
83
+ "grad_norm": 2.925551652908325,
84
+ "learning_rate": 1.117300131061599e-05,
85
+ "loss": 0.8185,
86
+ "step": 341
87
+ },
88
+ {
89
+ "epoch": 0.005462855884134589,
90
+ "grad_norm": 3.0318872928619385,
91
+ "learning_rate": 1.218872870249017e-05,
92
+ "loss": 0.8191,
93
+ "step": 372
94
+ },
95
+ {
96
+ "epoch": 0.005918093874479138,
97
+ "grad_norm": 3.2019152641296387,
98
+ "learning_rate": 1.3204456094364351e-05,
99
+ "loss": 0.8166,
100
+ "step": 403
101
+ },
102
+ {
103
+ "epoch": 0.006373331864823687,
104
+ "grad_norm": 2.833339214324951,
105
+ "learning_rate": 1.4220183486238533e-05,
106
+ "loss": 0.8246,
107
+ "step": 434
108
+ },
109
+ {
110
+ "epoch": 0.006828569855168236,
111
+ "grad_norm": 3.1772501468658447,
112
+ "learning_rate": 1.5235910878112714e-05,
113
+ "loss": 0.8209,
114
+ "step": 465
115
+ },
116
+ {
117
+ "epoch": 0.0072838078455127854,
118
+ "grad_norm": 2.8447930812835693,
119
+ "learning_rate": 1.6251638269986893e-05,
120
+ "loss": 0.8146,
121
+ "step": 496
122
+ },
123
+ {
124
+ "epoch": 0.007739045835857335,
125
+ "grad_norm": 2.5160751342773438,
126
+ "learning_rate": 1.7267365661861077e-05,
127
+ "loss": 0.8217,
128
+ "step": 527
129
+ },
130
+ {
131
+ "epoch": 0.008194283826201883,
132
+ "grad_norm": 2.843844413757324,
133
+ "learning_rate": 1.8283093053735257e-05,
134
+ "loss": 0.8166,
135
+ "step": 558
136
+ },
137
+ {
138
+ "epoch": 0.008649521816546433,
139
+ "grad_norm": 2.6248440742492676,
140
+ "learning_rate": 1.9298820445609438e-05,
141
+ "loss": 0.8237,
142
+ "step": 589
143
+ },
144
+ {
145
+ "epoch": 0.009104759806890982,
146
+ "grad_norm": 2.7390968799591064,
147
+ "learning_rate": 2.031454783748362e-05,
148
+ "loss": 0.8201,
149
+ "step": 620
150
+ },
151
+ {
152
+ "epoch": 0.00955999779723553,
153
+ "grad_norm": 2.612004518508911,
154
+ "learning_rate": 2.13302752293578e-05,
155
+ "loss": 0.8228,
156
+ "step": 651
157
+ },
158
+ {
159
+ "epoch": 0.01001523578758008,
160
+ "grad_norm": 2.6713650226593018,
161
+ "learning_rate": 2.234600262123198e-05,
162
+ "loss": 0.8213,
163
+ "step": 682
164
+ },
165
+ {
166
+ "epoch": 0.010470473777924628,
167
+ "grad_norm": 2.400465726852417,
168
+ "learning_rate": 2.336173001310616e-05,
169
+ "loss": 0.8241,
170
+ "step": 713
171
+ },
172
+ {
173
+ "epoch": 0.010925711768269179,
174
+ "grad_norm": 2.335400104522705,
175
+ "learning_rate": 2.437745740498034e-05,
176
+ "loss": 0.8266,
177
+ "step": 744
178
+ },
179
+ {
180
+ "epoch": 0.011380949758613727,
181
+ "grad_norm": 2.907315731048584,
182
+ "learning_rate": 2.5393184796854525e-05,
183
+ "loss": 0.8359,
184
+ "step": 775
185
+ },
186
+ {
187
+ "epoch": 0.011836187748958275,
188
+ "grad_norm": 2.607116937637329,
189
+ "learning_rate": 2.6408912188728702e-05,
190
+ "loss": 0.8286,
191
+ "step": 806
192
+ },
193
+ {
194
+ "epoch": 0.012291425739302825,
195
+ "grad_norm": 2.42545223236084,
196
+ "learning_rate": 2.7424639580602886e-05,
197
+ "loss": 0.825,
198
+ "step": 837
199
+ },
200
+ {
201
+ "epoch": 0.012746663729647374,
202
+ "grad_norm": 2.744816780090332,
203
+ "learning_rate": 2.8440366972477066e-05,
204
+ "loss": 0.8273,
205
+ "step": 868
206
+ },
207
+ {
208
+ "epoch": 0.013201901719991924,
209
+ "grad_norm": 2.3429465293884277,
210
+ "learning_rate": 2.9456094364351244e-05,
211
+ "loss": 0.8264,
212
+ "step": 899
213
+ },
214
+ {
215
+ "epoch": 0.013657139710336472,
216
+ "grad_norm": 2.5894381999969482,
217
+ "learning_rate": 3.0471821756225428e-05,
218
+ "loss": 0.8201,
219
+ "step": 930
220
+ },
221
+ {
222
+ "epoch": 0.01411237770068102,
223
+ "grad_norm": 2.2879245281219482,
224
+ "learning_rate": 3.148754914809961e-05,
225
+ "loss": 0.825,
226
+ "step": 961
227
+ },
228
+ {
229
+ "epoch": 0.014567615691025571,
230
+ "grad_norm": 2.494351863861084,
231
+ "learning_rate": 3.2503276539973785e-05,
232
+ "loss": 0.831,
233
+ "step": 992
234
+ },
235
+ {
236
+ "epoch": 0.01502285368137012,
237
+ "grad_norm": 2.097228527069092,
238
+ "learning_rate": 3.351900393184797e-05,
239
+ "loss": 0.8159,
240
+ "step": 1023
241
+ },
242
+ {
243
+ "epoch": 0.01547809167171467,
244
+ "grad_norm": 2.2551915645599365,
245
+ "learning_rate": 3.453473132372215e-05,
246
+ "loss": 0.829,
247
+ "step": 1054
248
+ },
249
+ {
250
+ "epoch": 0.015933329662059216,
251
+ "grad_norm": 2.3283045291900635,
252
+ "learning_rate": 3.555045871559633e-05,
253
+ "loss": 0.8309,
254
+ "step": 1085
255
+ },
256
+ {
257
+ "epoch": 0.016388567652403766,
258
+ "grad_norm": 2.0557940006256104,
259
+ "learning_rate": 3.6566186107470514e-05,
260
+ "loss": 0.8257,
261
+ "step": 1116
262
+ },
263
+ {
264
+ "epoch": 0.016843805642748316,
265
+ "grad_norm": 2.0314512252807617,
266
+ "learning_rate": 3.7581913499344695e-05,
267
+ "loss": 0.8287,
268
+ "step": 1147
269
+ },
270
+ {
271
+ "epoch": 0.017299043633092866,
272
+ "grad_norm": 2.169879913330078,
273
+ "learning_rate": 3.8597640891218876e-05,
274
+ "loss": 0.8283,
275
+ "step": 1178
276
+ },
277
+ {
278
+ "epoch": 0.017754281623437413,
279
+ "grad_norm": 2.334822654724121,
280
+ "learning_rate": 3.9613368283093056e-05,
281
+ "loss": 0.8348,
282
+ "step": 1209
283
+ },
284
+ {
285
+ "epoch": 0.018209519613781963,
286
+ "grad_norm": 2.1586616039276123,
287
+ "learning_rate": 4.062909567496724e-05,
288
+ "loss": 0.823,
289
+ "step": 1240
290
+ },
291
+ {
292
+ "epoch": 0.018664757604126513,
293
+ "grad_norm": 2.255127429962158,
294
+ "learning_rate": 4.164482306684142e-05,
295
+ "loss": 0.8201,
296
+ "step": 1271
297
+ },
298
+ {
299
+ "epoch": 0.01911999559447106,
300
+ "grad_norm": 2.2057130336761475,
301
+ "learning_rate": 4.26605504587156e-05,
302
+ "loss": 0.8251,
303
+ "step": 1302
304
+ },
305
+ {
306
+ "epoch": 0.01957523358481561,
307
+ "grad_norm": 2.153062582015991,
308
+ "learning_rate": 4.367627785058978e-05,
309
+ "loss": 0.8328,
310
+ "step": 1333
311
+ },
312
+ {
313
+ "epoch": 0.02003047157516016,
314
+ "grad_norm": 2.1553568840026855,
315
+ "learning_rate": 4.469200524246396e-05,
316
+ "loss": 0.8218,
317
+ "step": 1364
318
+ },
319
+ {
320
+ "epoch": 0.020485709565504707,
321
+ "grad_norm": 2.005182981491089,
322
+ "learning_rate": 4.570773263433814e-05,
323
+ "loss": 0.8123,
324
+ "step": 1395
325
+ },
326
+ {
327
+ "epoch": 0.020940947555849257,
328
+ "grad_norm": 1.9253156185150146,
329
+ "learning_rate": 4.672346002621232e-05,
330
+ "loss": 0.8216,
331
+ "step": 1426
332
+ },
333
+ {
334
+ "epoch": 0.021396185546193807,
335
+ "grad_norm": 2.0112476348876953,
336
+ "learning_rate": 4.77391874180865e-05,
337
+ "loss": 0.8288,
338
+ "step": 1457
339
+ },
340
+ {
341
+ "epoch": 0.021851423536538357,
342
+ "grad_norm": 2.1911792755126953,
343
+ "learning_rate": 4.875491480996068e-05,
344
+ "loss": 0.8234,
345
+ "step": 1488
346
+ },
347
+ {
348
+ "epoch": 0.022306661526882904,
349
+ "grad_norm": 1.9842109680175781,
350
+ "learning_rate": 4.977064220183487e-05,
351
+ "loss": 0.8199,
352
+ "step": 1519
353
+ },
354
+ {
355
+ "epoch": 0.022761899517227454,
356
+ "grad_norm": 2.333308219909668,
357
+ "learning_rate": 4.9999915451558777e-05,
358
+ "loss": 0.8188,
359
+ "step": 1550
360
+ },
361
+ {
362
+ "epoch": 0.023217137507572004,
363
+ "grad_norm": 1.9667329788208008,
364
+ "learning_rate": 4.999955597496219e-05,
365
+ "loss": 0.8173,
366
+ "step": 1581
367
+ },
368
+ {
369
+ "epoch": 0.02367237549791655,
370
+ "grad_norm": 2.07018780708313,
371
+ "learning_rate": 4.9998914381774255e-05,
372
+ "loss": 0.8278,
373
+ "step": 1612
374
+ },
375
+ {
376
+ "epoch": 0.0241276134882611,
377
+ "grad_norm": 1.9434620141983032,
378
+ "learning_rate": 4.999799067923527e-05,
379
+ "loss": 0.8188,
380
+ "step": 1643
381
+ },
382
+ {
383
+ "epoch": 0.02458285147860565,
384
+ "grad_norm": 2.303523540496826,
385
+ "learning_rate": 4.999678487776908e-05,
386
+ "loss": 0.8169,
387
+ "step": 1674
388
+ },
389
+ {
390
+ "epoch": 0.025038089468950198,
391
+ "grad_norm": 1.9299540519714355,
392
+ "learning_rate": 4.9995296990983006e-05,
393
+ "loss": 0.8193,
394
+ "step": 1705
395
+ },
396
+ {
397
+ "epoch": 0.025493327459294748,
398
+ "grad_norm": 2.9125871658325195,
399
+ "learning_rate": 4.999352703566763e-05,
400
+ "loss": 0.8169,
401
+ "step": 1736
402
+ },
403
+ {
404
+ "epoch": 0.025948565449639298,
405
+ "grad_norm": 1.9595615863800049,
406
+ "learning_rate": 4.999147503179668e-05,
407
+ "loss": 0.8303,
408
+ "step": 1767
409
+ },
410
+ {
411
+ "epoch": 0.026403803439983848,
412
+ "grad_norm": 1.792854905128479,
413
+ "learning_rate": 4.998914100252672e-05,
414
+ "loss": 0.8316,
415
+ "step": 1798
416
+ },
417
+ {
418
+ "epoch": 0.026859041430328395,
419
+ "grad_norm": 1.9298927783966064,
420
+ "learning_rate": 4.998652497419696e-05,
421
+ "loss": 0.8241,
422
+ "step": 1829
423
+ },
424
+ {
425
+ "epoch": 0.027314279420672945,
426
+ "grad_norm": 2.0041086673736572,
427
+ "learning_rate": 4.9983626976328927e-05,
428
+ "loss": 0.8194,
429
+ "step": 1860
430
+ },
431
+ {
432
+ "epoch": 0.027769517411017495,
433
+ "grad_norm": 1.7287297248840332,
434
+ "learning_rate": 4.998044704162613e-05,
435
+ "loss": 0.8215,
436
+ "step": 1891
437
+ },
438
+ {
439
+ "epoch": 0.02822475540136204,
440
+ "grad_norm": 1.9918785095214844,
441
+ "learning_rate": 4.9976985205973705e-05,
442
+ "loss": 0.827,
443
+ "step": 1922
444
+ },
445
+ {
446
+ "epoch": 0.02867999339170659,
447
+ "grad_norm": 1.719894289970398,
448
+ "learning_rate": 4.997324150843799e-05,
449
+ "loss": 0.8195,
450
+ "step": 1953
451
+ },
452
+ {
453
+ "epoch": 0.029135231382051142,
454
+ "grad_norm": 1.8976550102233887,
455
+ "learning_rate": 4.99692159912661e-05,
456
+ "loss": 0.8255,
457
+ "step": 1984
458
+ },
459
+ {
460
+ "epoch": 0.02959046937239569,
461
+ "grad_norm": 1.935172200202942,
462
+ "learning_rate": 4.996490869988546e-05,
463
+ "loss": 0.8181,
464
+ "step": 2015
465
+ },
466
+ {
467
+ "epoch": 0.03004570736274024,
468
+ "grad_norm": 1.9780888557434082,
469
+ "learning_rate": 4.996031968290326e-05,
470
+ "loss": 0.8135,
471
+ "step": 2046
472
+ },
473
+ {
474
+ "epoch": 0.03050094535308479,
475
+ "grad_norm": 1.8524991273880005,
476
+ "learning_rate": 4.995544899210594e-05,
477
+ "loss": 0.8125,
478
+ "step": 2077
479
+ },
480
+ {
481
+ "epoch": 0.03095618334342934,
482
+ "grad_norm": 1.7355973720550537,
483
+ "learning_rate": 4.9950296682458583e-05,
484
+ "loss": 0.7994,
485
+ "step": 2108
486
+ },
487
+ {
488
+ "epoch": 0.031411421333773885,
489
+ "grad_norm": 1.6580488681793213,
490
+ "learning_rate": 4.994486281210429e-05,
491
+ "loss": 0.796,
492
+ "step": 2139
493
+ },
494
+ {
495
+ "epoch": 0.03186665932411843,
496
+ "grad_norm": 1.867573618888855,
497
+ "learning_rate": 4.9939147442363566e-05,
498
+ "loss": 0.8132,
499
+ "step": 2170
500
+ },
501
+ {
502
+ "epoch": 0.032321897314462986,
503
+ "grad_norm": 1.6070977449417114,
504
+ "learning_rate": 4.9933150637733574e-05,
505
+ "loss": 0.8077,
506
+ "step": 2201
507
+ },
508
+ {
509
+ "epoch": 0.03277713530480753,
510
+ "grad_norm": 1.7772935628890991,
511
+ "learning_rate": 4.992687246588743e-05,
512
+ "loss": 0.8082,
513
+ "step": 2232
514
+ },
515
+ {
516
+ "epoch": 0.033232373295152086,
517
+ "grad_norm": 1.8836694955825806,
518
+ "learning_rate": 4.992031299767347e-05,
519
+ "loss": 0.8064,
520
+ "step": 2263
521
+ },
522
+ {
523
+ "epoch": 0.03368761128549663,
524
+ "grad_norm": 3.3479881286621094,
525
+ "learning_rate": 4.9913472307114386e-05,
526
+ "loss": 0.7967,
527
+ "step": 2294
528
+ },
529
+ {
530
+ "epoch": 0.03414284927584118,
531
+ "grad_norm": 1.6765213012695312,
532
+ "learning_rate": 4.9906350471406446e-05,
533
+ "loss": 0.8051,
534
+ "step": 2325
535
+ },
536
+ {
537
+ "epoch": 0.03459808726618573,
538
+ "grad_norm": 1.6204607486724854,
539
+ "learning_rate": 4.989894757091861e-05,
540
+ "loss": 0.8046,
541
+ "step": 2356
542
+ },
543
+ {
544
+ "epoch": 0.03505332525653028,
545
+ "grad_norm": 1.829070806503296,
546
+ "learning_rate": 4.989126368919158e-05,
547
+ "loss": 0.8056,
548
+ "step": 2387
549
+ },
550
+ {
551
+ "epoch": 0.035508563246874826,
552
+ "grad_norm": 1.6405888795852661,
553
+ "learning_rate": 4.988329891293693e-05,
554
+ "loss": 0.7978,
555
+ "step": 2418
556
+ },
557
+ {
558
+ "epoch": 0.03596380123721938,
559
+ "grad_norm": 1.7973062992095947,
560
+ "learning_rate": 4.987505333203608e-05,
561
+ "loss": 0.8032,
562
+ "step": 2449
563
+ },
564
+ {
565
+ "epoch": 0.036419039227563926,
566
+ "grad_norm": 1.6353952884674072,
567
+ "learning_rate": 4.9866527039539276e-05,
568
+ "loss": 0.7962,
569
+ "step": 2480
570
+ },
571
+ {
572
+ "epoch": 0.03687427721790847,
573
+ "grad_norm": 1.7949732542037964,
574
+ "learning_rate": 4.9857720131664594e-05,
575
+ "loss": 0.8053,
576
+ "step": 2511
577
+ },
578
+ {
579
+ "epoch": 0.03732951520825303,
580
+ "grad_norm": 1.6451278924942017,
581
+ "learning_rate": 4.9848632707796773e-05,
582
+ "loss": 0.7996,
583
+ "step": 2542
584
+ },
585
+ {
586
+ "epoch": 0.03778475319859757,
587
+ "grad_norm": 2.481834888458252,
588
+ "learning_rate": 4.9839264870486155e-05,
589
+ "loss": 0.8063,
590
+ "step": 2573
591
+ },
592
+ {
593
+ "epoch": 0.03823999118894212,
594
+ "grad_norm": 1.6256147623062134,
595
+ "learning_rate": 4.9829616725447526e-05,
596
+ "loss": 0.8007,
597
+ "step": 2604
598
+ },
599
+ {
600
+ "epoch": 0.03869522917928667,
601
+ "grad_norm": 1.6175315380096436,
602
+ "learning_rate": 4.981968838155888e-05,
603
+ "loss": 0.7899,
604
+ "step": 2635
605
+ },
606
+ {
607
+ "epoch": 0.03915046716963122,
608
+ "grad_norm": 1.521621584892273,
609
+ "learning_rate": 4.980947995086024e-05,
610
+ "loss": 0.7897,
611
+ "step": 2666
612
+ },
613
+ {
614
+ "epoch": 0.03960570515997577,
615
+ "grad_norm": 1.6651875972747803,
616
+ "learning_rate": 4.979899154855234e-05,
617
+ "loss": 0.7977,
618
+ "step": 2697
619
+ },
620
+ {
621
+ "epoch": 0.04006094315032032,
622
+ "grad_norm": 1.6656596660614014,
623
+ "learning_rate": 4.9788223292995386e-05,
624
+ "loss": 0.7873,
625
+ "step": 2728
626
+ },
627
+ {
628
+ "epoch": 0.04051618114066487,
629
+ "grad_norm": 1.5026613473892212,
630
+ "learning_rate": 4.977717530570768e-05,
631
+ "loss": 0.7801,
632
+ "step": 2759
633
+ },
634
+ {
635
+ "epoch": 0.040971419131009414,
636
+ "grad_norm": 1.6516485214233398,
637
+ "learning_rate": 4.976584771136425e-05,
638
+ "loss": 0.7946,
639
+ "step": 2790
640
+ },
641
+ {
642
+ "epoch": 0.04142665712135397,
643
+ "grad_norm": 1.6548583507537842,
644
+ "learning_rate": 4.975424063779547e-05,
645
+ "loss": 0.7979,
646
+ "step": 2821
647
+ },
648
+ {
649
+ "epoch": 0.041881895111698514,
650
+ "grad_norm": 1.5374644994735718,
651
+ "learning_rate": 4.974235421598557e-05,
652
+ "loss": 0.7917,
653
+ "step": 2852
654
+ },
655
+ {
656
+ "epoch": 0.04233713310204307,
657
+ "grad_norm": 1.6639021635055542,
658
+ "learning_rate": 4.973018858007122e-05,
659
+ "loss": 0.7899,
660
+ "step": 2883
661
+ },
662
+ {
663
+ "epoch": 0.042792371092387614,
664
+ "grad_norm": 1.5152990818023682,
665
+ "learning_rate": 4.9717743867339963e-05,
666
+ "loss": 0.7863,
667
+ "step": 2914
668
+ },
669
+ {
670
+ "epoch": 0.04324760908273216,
671
+ "grad_norm": 1.761730432510376,
672
+ "learning_rate": 4.9705020218228695e-05,
673
+ "loss": 0.7862,
674
+ "step": 2945
675
+ },
676
+ {
677
+ "epoch": 0.043702847073076714,
678
+ "grad_norm": 1.6220827102661133,
679
+ "learning_rate": 4.969201777632205e-05,
680
+ "loss": 0.7971,
681
+ "step": 2976
682
+ },
683
+ {
684
+ "epoch": 0.04415808506342126,
685
+ "grad_norm": 1.5421055555343628,
686
+ "learning_rate": 4.9678736688350846e-05,
687
+ "loss": 0.7836,
688
+ "step": 3007
689
+ },
690
+ {
691
+ "epoch": 0.04461332305376581,
692
+ "grad_norm": 1.557054042816162,
693
+ "learning_rate": 4.966517710419033e-05,
694
+ "loss": 0.7973,
695
+ "step": 3038
696
+ },
697
+ {
698
+ "epoch": 0.04506856104411036,
699
+ "grad_norm": 1.6359279155731201,
700
+ "learning_rate": 4.965133917685858e-05,
701
+ "loss": 0.7913,
702
+ "step": 3069
703
+ },
704
+ {
705
+ "epoch": 0.04552379903445491,
706
+ "grad_norm": 1.5110820531845093,
707
+ "learning_rate": 4.9637223062514714e-05,
708
+ "loss": 0.7866,
709
+ "step": 3100
710
+ },
711
+ {
712
+ "epoch": 0.045979037024799455,
713
+ "grad_norm": 1.5999350547790527,
714
+ "learning_rate": 4.962282892045718e-05,
715
+ "loss": 0.7815,
716
+ "step": 3131
717
+ },
718
+ {
719
+ "epoch": 0.04643427501514401,
720
+ "grad_norm": 1.6365526914596558,
721
+ "learning_rate": 4.9608156913121904e-05,
722
+ "loss": 0.7853,
723
+ "step": 3162
724
+ },
725
+ {
726
+ "epoch": 0.046889513005488555,
727
+ "grad_norm": 1.4888262748718262,
728
+ "learning_rate": 4.959320720608049e-05,
729
+ "loss": 0.7855,
730
+ "step": 3193
731
+ },
732
+ {
733
+ "epoch": 0.0473447509958331,
734
+ "grad_norm": 1.6654419898986816,
735
+ "learning_rate": 4.9577979968038354e-05,
736
+ "loss": 0.7901,
737
+ "step": 3224
738
+ },
739
+ {
740
+ "epoch": 0.047799988986177655,
741
+ "grad_norm": 1.7072011232376099,
742
+ "learning_rate": 4.956247537083282e-05,
743
+ "loss": 0.7844,
744
+ "step": 3255
745
+ },
746
+ {
747
+ "epoch": 0.0482552269765222,
748
+ "grad_norm": 1.5382236242294312,
749
+ "learning_rate": 4.9546693589431145e-05,
750
+ "loss": 0.7679,
751
+ "step": 3286
752
+ },
753
+ {
754
+ "epoch": 0.04871046496686675,
755
+ "grad_norm": 1.6157864332199097,
756
+ "learning_rate": 4.9530634801928595e-05,
757
+ "loss": 0.7969,
758
+ "step": 3317
759
+ },
760
+ {
761
+ "epoch": 0.0491657029572113,
762
+ "grad_norm": 1.3994786739349365,
763
+ "learning_rate": 4.9514299189546395e-05,
764
+ "loss": 0.7805,
765
+ "step": 3348
766
+ },
767
+ {
768
+ "epoch": 0.04962094094755585,
769
+ "grad_norm": 1.595642328262329,
770
+ "learning_rate": 4.949768693662973e-05,
771
+ "loss": 0.792,
772
+ "step": 3379
773
+ },
774
+ {
775
+ "epoch": 0.050076178937900395,
776
+ "grad_norm": 1.5789110660552979,
777
+ "learning_rate": 4.948079823064559e-05,
778
+ "loss": 0.7945,
779
+ "step": 3410
780
+ },
781
+ {
782
+ "epoch": 0.05053141692824495,
783
+ "grad_norm": 1.4630874395370483,
784
+ "learning_rate": 4.946363326218074e-05,
785
+ "loss": 0.7798,
786
+ "step": 3441
787
+ },
788
+ {
789
+ "epoch": 0.050986654918589495,
790
+ "grad_norm": 1.6624780893325806,
791
+ "learning_rate": 4.9446192224939525e-05,
792
+ "loss": 0.7781,
793
+ "step": 3472
794
+ },
795
+ {
796
+ "epoch": 0.05144189290893404,
797
+ "grad_norm": 1.5291494131088257,
798
+ "learning_rate": 4.942847531574167e-05,
799
+ "loss": 0.7755,
800
+ "step": 3503
801
+ },
802
+ {
803
+ "epoch": 0.051897130899278596,
804
+ "grad_norm": 1.5021535158157349,
805
+ "learning_rate": 4.941048273452008e-05,
806
+ "loss": 0.7781,
807
+ "step": 3534
808
+ },
809
+ {
810
+ "epoch": 0.05235236888962314,
811
+ "grad_norm": 1.520340085029602,
812
+ "learning_rate": 4.9392214684318605e-05,
813
+ "loss": 0.7832,
814
+ "step": 3565
815
+ },
816
+ {
817
+ "epoch": 0.052807606879967696,
818
+ "grad_norm": 1.6593334674835205,
819
+ "learning_rate": 4.93736713712897e-05,
820
+ "loss": 0.7807,
821
+ "step": 3596
822
+ },
823
+ {
824
+ "epoch": 0.05326284487031224,
825
+ "grad_norm": 1.5201176404953003,
826
+ "learning_rate": 4.9354853004692124e-05,
827
+ "loss": 0.7839,
828
+ "step": 3627
829
+ },
830
+ {
831
+ "epoch": 0.05371808286065679,
832
+ "grad_norm": 1.4672085046768188,
833
+ "learning_rate": 4.93357597968886e-05,
834
+ "loss": 0.7749,
835
+ "step": 3658
836
+ },
837
+ {
838
+ "epoch": 0.05417332085100134,
839
+ "grad_norm": 1.5247095823287964,
840
+ "learning_rate": 4.931639196334338e-05,
841
+ "loss": 0.784,
842
+ "step": 3689
843
+ },
844
+ {
845
+ "epoch": 0.05462855884134589,
846
+ "grad_norm": 1.425585389137268,
847
+ "learning_rate": 4.9296749722619826e-05,
848
+ "loss": 0.783,
849
+ "step": 3720
850
+ },
851
+ {
852
+ "epoch": 0.055083796831690436,
853
+ "grad_norm": 1.5224754810333252,
854
+ "learning_rate": 4.9276833296377966e-05,
855
+ "loss": 0.7755,
856
+ "step": 3751
857
+ },
858
+ {
859
+ "epoch": 0.05553903482203499,
860
+ "grad_norm": 1.340252161026001,
861
+ "learning_rate": 4.925664290937196e-05,
862
+ "loss": 0.7727,
863
+ "step": 3782
864
+ },
865
+ {
866
+ "epoch": 0.055994272812379536,
867
+ "grad_norm": 1.5716209411621094,
868
+ "learning_rate": 4.9236178789447576e-05,
869
+ "loss": 0.7765,
870
+ "step": 3813
871
+ },
872
+ {
873
+ "epoch": 0.05644951080272408,
874
+ "grad_norm": 1.5179502964019775,
875
+ "learning_rate": 4.921544116753962e-05,
876
+ "loss": 0.771,
877
+ "step": 3844
878
+ },
879
+ {
880
+ "epoch": 0.05690474879306864,
881
+ "grad_norm": 1.570530891418457,
882
+ "learning_rate": 4.919443027766935e-05,
883
+ "loss": 0.7781,
884
+ "step": 3875
885
+ },
886
+ {
887
+ "epoch": 0.05735998678341318,
888
+ "grad_norm": 1.4464157819747925,
889
+ "learning_rate": 4.91731463569418e-05,
890
+ "loss": 0.7785,
891
+ "step": 3906
892
+ },
893
+ {
894
+ "epoch": 0.05781522477375773,
895
+ "grad_norm": 1.338505506515503,
896
+ "learning_rate": 4.915158964554312e-05,
897
+ "loss": 0.7737,
898
+ "step": 3937
899
+ },
900
+ {
901
+ "epoch": 0.058270462764102283,
902
+ "grad_norm": 1.4677704572677612,
903
+ "learning_rate": 4.912976038673786e-05,
904
+ "loss": 0.7754,
905
+ "step": 3968
906
+ },
907
+ {
908
+ "epoch": 0.05872570075444683,
909
+ "grad_norm": 1.440202236175537,
910
+ "learning_rate": 4.9107658826866254e-05,
911
+ "loss": 0.7815,
912
+ "step": 3999
913
+ },
914
+ {
915
+ "epoch": 0.05918093874479138,
916
+ "grad_norm": 1.4083667993545532,
917
+ "learning_rate": 4.908528521534139e-05,
918
+ "loss": 0.7693,
919
+ "step": 4030
920
+ },
921
+ {
922
+ "epoch": 0.05963617673513593,
923
+ "grad_norm": 1.266140341758728,
924
+ "learning_rate": 4.906263980464644e-05,
925
+ "loss": 0.7847,
926
+ "step": 4061
927
+ },
928
+ {
929
+ "epoch": 0.06009141472548048,
930
+ "grad_norm": 1.313815951347351,
931
+ "learning_rate": 4.903972285033178e-05,
932
+ "loss": 0.7801,
933
+ "step": 4092
934
+ },
935
+ {
936
+ "epoch": 0.060546652715825024,
937
+ "grad_norm": 1.7150321006774902,
938
+ "learning_rate": 4.901653461101213e-05,
939
+ "loss": 0.7675,
940
+ "step": 4123
941
+ },
942
+ {
943
+ "epoch": 0.06100189070616958,
944
+ "grad_norm": 1.4845250844955444,
945
+ "learning_rate": 4.8993075348363626e-05,
946
+ "loss": 0.7643,
947
+ "step": 4154
948
+ },
949
+ {
950
+ "epoch": 0.061457128696514124,
951
+ "grad_norm": 1.3258192539215088,
952
+ "learning_rate": 4.896934532712084e-05,
953
+ "loss": 0.7753,
954
+ "step": 4185
955
+ },
956
+ {
957
+ "epoch": 0.06191236668685868,
958
+ "grad_norm": 1.4659708738327026,
959
+ "learning_rate": 4.8945344815073846e-05,
960
+ "loss": 0.763,
961
+ "step": 4216
962
+ },
963
+ {
964
+ "epoch": 0.062367604677203224,
965
+ "grad_norm": 1.4512019157409668,
966
+ "learning_rate": 4.892107408306516e-05,
967
+ "loss": 0.7663,
968
+ "step": 4247
969
+ },
970
+ {
971
+ "epoch": 0.06282284266754777,
972
+ "grad_norm": 1.4622727632522583,
973
+ "learning_rate": 4.889653340498669e-05,
974
+ "loss": 0.772,
975
+ "step": 4278
976
+ },
977
+ {
978
+ "epoch": 0.06327808065789232,
979
+ "grad_norm": 1.3177098035812378,
980
+ "learning_rate": 4.8871723057776664e-05,
981
+ "loss": 0.7665,
982
+ "step": 4309
983
+ },
984
+ {
985
+ "epoch": 0.06373331864823686,
986
+ "grad_norm": 1.3955334424972534,
987
+ "learning_rate": 4.8846643321416476e-05,
988
+ "loss": 0.7717,
989
+ "step": 4340
990
+ },
991
+ {
992
+ "epoch": 0.06418855663858142,
993
+ "grad_norm": 1.4321017265319824,
994
+ "learning_rate": 4.882129447892753e-05,
995
+ "loss": 0.7639,
996
+ "step": 4371
997
+ },
998
+ {
999
+ "epoch": 0.06464379462892597,
1000
+ "grad_norm": 1.4852508306503296,
1001
+ "learning_rate": 4.8795676816368076e-05,
1002
+ "loss": 0.7606,
1003
+ "step": 4402
1004
+ },
1005
+ {
1006
+ "epoch": 0.06509903261927051,
1007
+ "grad_norm": 1.4605242013931274,
1008
+ "learning_rate": 4.876979062282995e-05,
1009
+ "loss": 0.7646,
1010
+ "step": 4433
1011
+ },
1012
+ {
1013
+ "epoch": 0.06555427060961506,
1014
+ "grad_norm": 1.4694074392318726,
1015
+ "learning_rate": 4.8743636190435325e-05,
1016
+ "loss": 0.7649,
1017
+ "step": 4464
1018
+ },
1019
+ {
1020
+ "epoch": 0.06600950859995962,
1021
+ "grad_norm": 1.2886863946914673,
1022
+ "learning_rate": 4.871721381433344e-05,
1023
+ "loss": 0.7709,
1024
+ "step": 4495
1025
+ },
1026
+ {
1027
+ "epoch": 0.06646474659030417,
1028
+ "grad_norm": 1.2294282913208008,
1029
+ "learning_rate": 4.869052379269719e-05,
1030
+ "loss": 0.7654,
1031
+ "step": 4526
1032
+ },
1033
+ {
1034
+ "epoch": 0.06691998458064871,
1035
+ "grad_norm": 1.4652395248413086,
1036
+ "learning_rate": 4.866356642671985e-05,
1037
+ "loss": 0.7626,
1038
+ "step": 4557
1039
+ },
1040
+ {
1041
+ "epoch": 0.06737522257099327,
1042
+ "grad_norm": 1.3832221031188965,
1043
+ "learning_rate": 4.8636342020611634e-05,
1044
+ "loss": 0.7685,
1045
+ "step": 4588
1046
+ },
1047
+ {
1048
+ "epoch": 0.06783046056133782,
1049
+ "grad_norm": 1.3281147480010986,
1050
+ "learning_rate": 4.860885088159626e-05,
1051
+ "loss": 0.7659,
1052
+ "step": 4619
1053
+ },
1054
+ {
1055
+ "epoch": 0.06828569855168236,
1056
+ "grad_norm": 1.4158588647842407,
1057
+ "learning_rate": 4.858109331990751e-05,
1058
+ "loss": 0.7678,
1059
+ "step": 4650
1060
+ },
1061
+ {
1062
+ "epoch": 0.06874093654202691,
1063
+ "grad_norm": 1.4169031381607056,
1064
+ "learning_rate": 4.855306964878567e-05,
1065
+ "loss": 0.7759,
1066
+ "step": 4681
1067
+ },
1068
+ {
1069
+ "epoch": 0.06919617453237147,
1070
+ "grad_norm": 1.3807917833328247,
1071
+ "learning_rate": 4.8524780184474084e-05,
1072
+ "loss": 0.766,
1073
+ "step": 4712
1074
+ },
1075
+ {
1076
+ "epoch": 0.069651412522716,
1077
+ "grad_norm": 1.4099223613739014,
1078
+ "learning_rate": 4.8496225246215496e-05,
1079
+ "loss": 0.7607,
1080
+ "step": 4743
1081
+ },
1082
+ {
1083
+ "epoch": 0.07010665051306056,
1084
+ "grad_norm": 1.504549503326416,
1085
+ "learning_rate": 4.8467405156248505e-05,
1086
+ "loss": 0.764,
1087
+ "step": 4774
1088
+ },
1089
+ {
1090
+ "epoch": 0.07056188850340511,
1091
+ "grad_norm": 1.595380187034607,
1092
+ "learning_rate": 4.843832023980392e-05,
1093
+ "loss": 0.7638,
1094
+ "step": 4805
1095
+ },
1096
+ {
1097
+ "epoch": 0.07101712649374965,
1098
+ "grad_norm": 1.250127911567688,
1099
+ "learning_rate": 4.840897082510106e-05,
1100
+ "loss": 0.7612,
1101
+ "step": 4836
1102
+ },
1103
+ {
1104
+ "epoch": 0.0714723644840942,
1105
+ "grad_norm": 1.549315094947815,
1106
+ "learning_rate": 4.8379357243344084e-05,
1107
+ "loss": 0.7682,
1108
+ "step": 4867
1109
+ },
1110
+ {
1111
+ "epoch": 0.07192760247443876,
1112
+ "grad_norm": 1.2536250352859497,
1113
+ "learning_rate": 4.8349479828718236e-05,
1114
+ "loss": 0.7667,
1115
+ "step": 4898
1116
+ },
1117
+ {
1118
+ "epoch": 0.0723828404647833,
1119
+ "grad_norm": 1.4117034673690796,
1120
+ "learning_rate": 4.8319338918386075e-05,
1121
+ "loss": 0.7566,
1122
+ "step": 4929
1123
+ },
1124
+ {
1125
+ "epoch": 0.07283807845512785,
1126
+ "grad_norm": 1.4547215700149536,
1127
+ "learning_rate": 4.828893485248369e-05,
1128
+ "loss": 0.7836,
1129
+ "step": 4960
1130
+ },
1131
+ {
1132
+ "epoch": 0.0732933164454724,
1133
+ "grad_norm": 1.4076682329177856,
1134
+ "learning_rate": 4.825826797411682e-05,
1135
+ "loss": 0.7651,
1136
+ "step": 4991
1137
+ },
1138
+ {
1139
+ "epoch": 0.07374855443581695,
1140
+ "grad_norm": 1.2911306619644165,
1141
+ "learning_rate": 4.822733862935702e-05,
1142
+ "loss": 0.7645,
1143
+ "step": 5022
1144
+ },
1145
+ {
1146
+ "epoch": 0.0742037924261615,
1147
+ "grad_norm": 1.3982489109039307,
1148
+ "learning_rate": 4.819614716723775e-05,
1149
+ "loss": 0.7654,
1150
+ "step": 5053
1151
+ },
1152
+ {
1153
+ "epoch": 0.07465903041650605,
1154
+ "grad_norm": 1.434875726699829,
1155
+ "learning_rate": 4.8164693939750425e-05,
1156
+ "loss": 0.7633,
1157
+ "step": 5084
1158
+ },
1159
+ {
1160
+ "epoch": 0.07511426840685059,
1161
+ "grad_norm": 1.4181441068649292,
1162
+ "learning_rate": 4.813297930184042e-05,
1163
+ "loss": 0.7586,
1164
+ "step": 5115
1165
+ },
1166
+ {
1167
+ "epoch": 0.07556950639719515,
1168
+ "grad_norm": 1.3030534982681274,
1169
+ "learning_rate": 4.810100361140314e-05,
1170
+ "loss": 0.7581,
1171
+ "step": 5146
1172
+ },
1173
+ {
1174
+ "epoch": 0.0760247443875397,
1175
+ "grad_norm": 1.3619349002838135,
1176
+ "learning_rate": 4.8068767229279885e-05,
1177
+ "loss": 0.7646,
1178
+ "step": 5177
1179
+ },
1180
+ {
1181
+ "epoch": 0.07647998237788424,
1182
+ "grad_norm": 1.4117941856384277,
1183
+ "learning_rate": 4.8036270519253854e-05,
1184
+ "loss": 0.76,
1185
+ "step": 5208
1186
+ },
1187
+ {
1188
+ "epoch": 0.0769352203682288,
1189
+ "grad_norm": 1.3789417743682861,
1190
+ "learning_rate": 4.8003513848046e-05,
1191
+ "loss": 0.7608,
1192
+ "step": 5239
1193
+ },
1194
+ {
1195
+ "epoch": 0.07739045835857335,
1196
+ "grad_norm": 1.4750028848648071,
1197
+ "learning_rate": 4.79704975853109e-05,
1198
+ "loss": 0.767,
1199
+ "step": 5270
1200
+ },
1201
+ {
1202
+ "epoch": 0.07784569634891789,
1203
+ "grad_norm": 1.604878306388855,
1204
+ "learning_rate": 4.793722210363262e-05,
1205
+ "loss": 0.7546,
1206
+ "step": 5301
1207
+ },
1208
+ {
1209
+ "epoch": 0.07830093433926244,
1210
+ "grad_norm": 1.3198168277740479,
1211
+ "learning_rate": 4.7903687778520414e-05,
1212
+ "loss": 0.7647,
1213
+ "step": 5332
1214
+ },
1215
+ {
1216
+ "epoch": 0.078756172329607,
1217
+ "grad_norm": 1.4350367784500122,
1218
+ "learning_rate": 4.7869894988404593e-05,
1219
+ "loss": 0.7566,
1220
+ "step": 5363
1221
+ },
1222
+ {
1223
+ "epoch": 0.07921141031995153,
1224
+ "grad_norm": 1.2926212549209595,
1225
+ "learning_rate": 4.783584411463221e-05,
1226
+ "loss": 0.7588,
1227
+ "step": 5394
1228
+ },
1229
+ {
1230
+ "epoch": 0.07966664831029609,
1231
+ "grad_norm": 1.3848434686660767,
1232
+ "learning_rate": 4.780153554146274e-05,
1233
+ "loss": 0.7568,
1234
+ "step": 5425
1235
+ },
1236
+ {
1237
+ "epoch": 0.08012188630064064,
1238
+ "grad_norm": 1.265429139137268,
1239
+ "learning_rate": 4.7766969656063766e-05,
1240
+ "loss": 0.764,
1241
+ "step": 5456
1242
+ },
1243
+ {
1244
+ "epoch": 0.08057712429098518,
1245
+ "grad_norm": 1.5596004724502563,
1246
+ "learning_rate": 4.773214684850662e-05,
1247
+ "loss": 0.7484,
1248
+ "step": 5487
1249
+ },
1250
+ {
1251
+ "epoch": 0.08103236228132973,
1252
+ "grad_norm": 1.2046922445297241,
1253
+ "learning_rate": 4.769706751176193e-05,
1254
+ "loss": 0.7555,
1255
+ "step": 5518
1256
+ },
1257
+ {
1258
+ "epoch": 0.08148760027167429,
1259
+ "grad_norm": 1.2367156744003296,
1260
+ "learning_rate": 4.7661732041695264e-05,
1261
+ "loss": 0.7494,
1262
+ "step": 5549
1263
+ },
1264
+ {
1265
+ "epoch": 0.08194283826201883,
1266
+ "grad_norm": 1.4023075103759766,
1267
+ "learning_rate": 4.762614083706258e-05,
1268
+ "loss": 0.7629,
1269
+ "step": 5580
1270
+ },
1271
+ {
1272
+ "epoch": 0.08239807625236338,
1273
+ "grad_norm": 1.5371898412704468,
1274
+ "learning_rate": 4.759029429950581e-05,
1275
+ "loss": 0.7504,
1276
+ "step": 5611
1277
+ },
1278
+ {
1279
+ "epoch": 0.08285331424270793,
1280
+ "grad_norm": 1.3951853513717651,
1281
+ "learning_rate": 4.7554192833548235e-05,
1282
+ "loss": 0.7554,
1283
+ "step": 5642
1284
+ },
1285
+ {
1286
+ "epoch": 0.08330855223305247,
1287
+ "grad_norm": 1.318542242050171,
1288
+ "learning_rate": 4.751783684659e-05,
1289
+ "loss": 0.7445,
1290
+ "step": 5673
1291
+ },
1292
+ {
1293
+ "epoch": 0.08376379022339703,
1294
+ "grad_norm": 1.2884353399276733,
1295
+ "learning_rate": 4.748122674890348e-05,
1296
+ "loss": 0.7557,
1297
+ "step": 5704
1298
+ },
1299
+ {
1300
+ "epoch": 0.08421902821374158,
1301
+ "grad_norm": 1.4121450185775757,
1302
+ "learning_rate": 4.7444362953628654e-05,
1303
+ "loss": 0.7578,
1304
+ "step": 5735
1305
+ },
1306
+ {
1307
+ "epoch": 0.08467426620408613,
1308
+ "grad_norm": 1.5590519905090332,
1309
+ "learning_rate": 4.7407245876768424e-05,
1310
+ "loss": 0.7532,
1311
+ "step": 5766
1312
+ },
1313
+ {
1314
+ "epoch": 0.08512950419443067,
1315
+ "grad_norm": 1.324658989906311,
1316
+ "learning_rate": 4.736987593718397e-05,
1317
+ "loss": 0.7483,
1318
+ "step": 5797
1319
+ },
1320
+ {
1321
+ "epoch": 0.08558474218477523,
1322
+ "grad_norm": 1.3753433227539062,
1323
+ "learning_rate": 4.733225355658999e-05,
1324
+ "loss": 0.7645,
1325
+ "step": 5828
1326
+ },
1327
+ {
1328
+ "epoch": 0.08603998017511978,
1329
+ "grad_norm": 1.2180614471435547,
1330
+ "learning_rate": 4.7294379159549926e-05,
1331
+ "loss": 0.7506,
1332
+ "step": 5859
1333
+ },
1334
+ {
1335
+ "epoch": 0.08649521816546432,
1336
+ "grad_norm": 1.4321558475494385,
1337
+ "learning_rate": 4.725625317347119e-05,
1338
+ "loss": 0.758,
1339
+ "step": 5890
1340
+ },
1341
+ {
1342
+ "epoch": 0.08695045615580888,
1343
+ "grad_norm": 1.253527283668518,
1344
+ "learning_rate": 4.7217876028600374e-05,
1345
+ "loss": 0.7507,
1346
+ "step": 5921
1347
+ },
1348
+ {
1349
+ "epoch": 0.08740569414615343,
1350
+ "grad_norm": 1.3596974611282349,
1351
+ "learning_rate": 4.717924815801832e-05,
1352
+ "loss": 0.753,
1353
+ "step": 5952
1354
+ },
1355
+ {
1356
+ "epoch": 0.08786093213649797,
1357
+ "grad_norm": 1.3011499643325806,
1358
+ "learning_rate": 4.714036999763532e-05,
1359
+ "loss": 0.7574,
1360
+ "step": 5983
1361
+ },
1362
+ {
1363
+ "epoch": 0.08831617012684252,
1364
+ "grad_norm": 1.3742843866348267,
1365
+ "learning_rate": 4.7101241986186116e-05,
1366
+ "loss": 0.7478,
1367
+ "step": 6014
1368
+ },
1369
+ {
1370
+ "epoch": 0.08877140811718708,
1371
+ "grad_norm": 1.3200472593307495,
1372
+ "learning_rate": 4.7061864565225e-05,
1373
+ "loss": 0.7524,
1374
+ "step": 6045
1375
+ },
1376
+ {
1377
+ "epoch": 0.08922664610753162,
1378
+ "grad_norm": 1.1689510345458984,
1379
+ "learning_rate": 4.702223817912081e-05,
1380
+ "loss": 0.762,
1381
+ "step": 6076
1382
+ },
1383
+ {
1384
+ "epoch": 0.08968188409787617,
1385
+ "grad_norm": 1.303377628326416,
1386
+ "learning_rate": 4.698236327505195e-05,
1387
+ "loss": 0.7487,
1388
+ "step": 6107
1389
+ },
1390
+ {
1391
+ "epoch": 0.09013712208822072,
1392
+ "grad_norm": 1.2742568254470825,
1393
+ "learning_rate": 4.694224030300127e-05,
1394
+ "loss": 0.7539,
1395
+ "step": 6138
1396
+ },
1397
+ {
1398
+ "epoch": 0.09059236007856526,
1399
+ "grad_norm": 1.4071948528289795,
1400
+ "learning_rate": 4.690186971575107e-05,
1401
+ "loss": 0.7564,
1402
+ "step": 6169
1403
+ },
1404
+ {
1405
+ "epoch": 0.09104759806890982,
1406
+ "grad_norm": 1.2735074758529663,
1407
+ "learning_rate": 4.6861251968877916e-05,
1408
+ "loss": 0.7528,
1409
+ "step": 6200
1410
+ },
1411
+ {
1412
+ "epoch": 0.09150283605925437,
1413
+ "grad_norm": 1.198225498199463,
1414
+ "learning_rate": 4.68203875207476e-05,
1415
+ "loss": 0.7559,
1416
+ "step": 6231
1417
+ },
1418
+ {
1419
+ "epoch": 0.09195807404959891,
1420
+ "grad_norm": 1.3141562938690186,
1421
+ "learning_rate": 4.677927683250983e-05,
1422
+ "loss": 0.7478,
1423
+ "step": 6262
1424
+ },
1425
+ {
1426
+ "epoch": 0.09241331203994346,
1427
+ "grad_norm": 1.3102765083312988,
1428
+ "learning_rate": 4.6737920368093156e-05,
1429
+ "loss": 0.755,
1430
+ "step": 6293
1431
+ },
1432
+ {
1433
+ "epoch": 0.09286855003028802,
1434
+ "grad_norm": 1.1865342855453491,
1435
+ "learning_rate": 4.669631859419965e-05,
1436
+ "loss": 0.7492,
1437
+ "step": 6324
1438
+ },
1439
+ {
1440
+ "epoch": 0.09332378802063256,
1441
+ "grad_norm": 1.3457741737365723,
1442
+ "learning_rate": 4.6654471980299676e-05,
1443
+ "loss": 0.7498,
1444
+ "step": 6355
1445
+ },
1446
+ {
1447
+ "epoch": 0.09377902601097711,
1448
+ "grad_norm": 1.2267104387283325,
1449
+ "learning_rate": 4.661238099862658e-05,
1450
+ "loss": 0.7419,
1451
+ "step": 6386
1452
+ },
1453
+ {
1454
+ "epoch": 0.09423426400132166,
1455
+ "grad_norm": 1.4682426452636719,
1456
+ "learning_rate": 4.657004612417138e-05,
1457
+ "loss": 0.7474,
1458
+ "step": 6417
1459
+ },
1460
+ {
1461
+ "epoch": 0.0946895019916662,
1462
+ "grad_norm": 1.366281270980835,
1463
+ "learning_rate": 4.6527467834677374e-05,
1464
+ "loss": 0.7478,
1465
+ "step": 6448
1466
+ },
1467
+ {
1468
+ "epoch": 0.09514473998201076,
1469
+ "grad_norm": 1.2895044088363647,
1470
+ "learning_rate": 4.648464661063478e-05,
1471
+ "loss": 0.7538,
1472
+ "step": 6479
1473
+ },
1474
+ {
1475
+ "epoch": 0.09559997797235531,
1476
+ "grad_norm": 1.199654221534729,
1477
+ "learning_rate": 4.6441582935275264e-05,
1478
+ "loss": 0.7512,
1479
+ "step": 6510
1480
+ },
1481
+ {
1482
+ "epoch": 0.09605521596269985,
1483
+ "grad_norm": 1.178707242012024,
1484
+ "learning_rate": 4.6398277294566586e-05,
1485
+ "loss": 0.7504,
1486
+ "step": 6541
1487
+ },
1488
+ {
1489
+ "epoch": 0.0965104539530444,
1490
+ "grad_norm": 1.4963469505310059,
1491
+ "learning_rate": 4.6354730177207e-05,
1492
+ "loss": 0.7574,
1493
+ "step": 6572
1494
+ },
1495
+ {
1496
+ "epoch": 0.09696569194338896,
1497
+ "grad_norm": 1.312418818473816,
1498
+ "learning_rate": 4.6310942074619787e-05,
1499
+ "loss": 0.7476,
1500
+ "step": 6603
1501
+ },
1502
+ {
1503
+ "epoch": 0.0974209299337335,
1504
+ "grad_norm": 1.1745465993881226,
1505
+ "learning_rate": 4.626691348094777e-05,
1506
+ "loss": 0.7428,
1507
+ "step": 6634
1508
+ },
1509
+ {
1510
+ "epoch": 0.09787616792407805,
1511
+ "grad_norm": 1.4050241708755493,
1512
+ "learning_rate": 4.622264489304762e-05,
1513
+ "loss": 0.74,
1514
+ "step": 6665
1515
+ },
1516
+ {
1517
+ "epoch": 0.0983314059144226,
1518
+ "grad_norm": 1.3154901266098022,
1519
+ "learning_rate": 4.617813681048434e-05,
1520
+ "loss": 0.7456,
1521
+ "step": 6696
1522
+ },
1523
+ {
1524
+ "epoch": 0.09878664390476714,
1525
+ "grad_norm": 1.2204554080963135,
1526
+ "learning_rate": 4.61333897355256e-05,
1527
+ "loss": 0.7467,
1528
+ "step": 6727
1529
+ },
1530
+ {
1531
+ "epoch": 0.0992418818951117,
1532
+ "grad_norm": 1.1468600034713745,
1533
+ "learning_rate": 4.608840417313604e-05,
1534
+ "loss": 0.7394,
1535
+ "step": 6758
1536
+ },
1537
+ {
1538
+ "epoch": 0.09969711988545625,
1539
+ "grad_norm": 1.359215259552002,
1540
+ "learning_rate": 4.6043180630971646e-05,
1541
+ "loss": 0.738,
1542
+ "step": 6789
1543
+ },
1544
+ {
1545
+ "epoch": 0.10015235787580079,
1546
+ "grad_norm": 1.3530089855194092,
1547
+ "learning_rate": 4.599771961937391e-05,
1548
+ "loss": 0.7475,
1549
+ "step": 6820
1550
+ },
1551
+ {
1552
+ "epoch": 0.10060759586614534,
1553
+ "grad_norm": 1.2479960918426514,
1554
+ "learning_rate": 4.5952021651364204e-05,
1555
+ "loss": 0.7471,
1556
+ "step": 6851
1557
+ },
1558
+ {
1559
+ "epoch": 0.1010628338564899,
1560
+ "grad_norm": 1.2646889686584473,
1561
+ "learning_rate": 4.590608724263786e-05,
1562
+ "loss": 0.7517,
1563
+ "step": 6882
1564
+ },
1565
+ {
1566
+ "epoch": 0.10151807184683444,
1567
+ "grad_norm": 1.1519280672073364,
1568
+ "learning_rate": 4.585991691155845e-05,
1569
+ "loss": 0.7557,
1570
+ "step": 6913
1571
+ },
1572
+ {
1573
+ "epoch": 0.10197330983717899,
1574
+ "grad_norm": 1.3348654508590698,
1575
+ "learning_rate": 4.581351117915188e-05,
1576
+ "loss": 0.7484,
1577
+ "step": 6944
1578
+ },
1579
+ {
1580
+ "epoch": 0.10242854782752354,
1581
+ "grad_norm": 2.228433132171631,
1582
+ "learning_rate": 4.5766870569100534e-05,
1583
+ "loss": 0.7489,
1584
+ "step": 6975
1585
+ },
1586
+ {
1587
+ "epoch": 0.10288378581786808,
1588
+ "grad_norm": 1.1797115802764893,
1589
+ "learning_rate": 4.571999560773736e-05,
1590
+ "loss": 0.7547,
1591
+ "step": 7006
1592
+ },
1593
+ {
1594
+ "epoch": 0.10333902380821264,
1595
+ "grad_norm": 1.2607511281967163,
1596
+ "learning_rate": 4.5672886824039915e-05,
1597
+ "loss": 0.7404,
1598
+ "step": 7037
1599
+ },
1600
+ {
1601
+ "epoch": 0.10379426179855719,
1602
+ "grad_norm": 1.2686676979064941,
1603
+ "learning_rate": 4.5625544749624435e-05,
1604
+ "loss": 0.7438,
1605
+ "step": 7068
1606
+ },
1607
+ {
1608
+ "epoch": 0.10424949978890174,
1609
+ "grad_norm": 1.3977618217468262,
1610
+ "learning_rate": 4.5577969918739794e-05,
1611
+ "loss": 0.7374,
1612
+ "step": 7099
1613
+ },
1614
+ {
1615
+ "epoch": 0.10470473777924628,
1616
+ "grad_norm": 1.2950663566589355,
1617
+ "learning_rate": 4.5530162868261486e-05,
1618
+ "loss": 0.7398,
1619
+ "step": 7130
1620
+ },
1621
+ {
1622
+ "epoch": 0.10515997576959084,
1623
+ "grad_norm": 1.3718290328979492,
1624
+ "learning_rate": 4.548212413768558e-05,
1625
+ "loss": 0.7531,
1626
+ "step": 7161
1627
+ },
1628
+ {
1629
+ "epoch": 0.10561521375993539,
1630
+ "grad_norm": 1.403624176979065,
1631
+ "learning_rate": 4.543385426912261e-05,
1632
+ "loss": 0.7517,
1633
+ "step": 7192
1634
+ },
1635
+ {
1636
+ "epoch": 0.10607045175027993,
1637
+ "grad_norm": 1.2086013555526733,
1638
+ "learning_rate": 4.53853538072915e-05,
1639
+ "loss": 0.7292,
1640
+ "step": 7223
1641
+ },
1642
+ {
1643
+ "epoch": 0.10652568974062449,
1644
+ "grad_norm": 1.1994200944900513,
1645
+ "learning_rate": 4.533662329951336e-05,
1646
+ "loss": 0.7405,
1647
+ "step": 7254
1648
+ },
1649
+ {
1650
+ "epoch": 0.10698092773096904,
1651
+ "grad_norm": 1.2708337306976318,
1652
+ "learning_rate": 4.528766329570536e-05,
1653
+ "loss": 0.742,
1654
+ "step": 7285
1655
+ },
1656
+ {
1657
+ "epoch": 0.10743616572131358,
1658
+ "grad_norm": 1.3050458431243896,
1659
+ "learning_rate": 4.523847434837447e-05,
1660
+ "loss": 0.7432,
1661
+ "step": 7316
1662
+ },
1663
+ {
1664
+ "epoch": 0.10789140371165813,
1665
+ "grad_norm": 1.1547353267669678,
1666
+ "learning_rate": 4.518905701261128e-05,
1667
+ "loss": 0.7442,
1668
+ "step": 7347
1669
+ },
1670
+ {
1671
+ "epoch": 0.10834664170200269,
1672
+ "grad_norm": 1.1920067071914673,
1673
+ "learning_rate": 4.5139411846083715e-05,
1674
+ "loss": 0.7481,
1675
+ "step": 7378
1676
+ },
1677
+ {
1678
+ "epoch": 0.10880187969234723,
1679
+ "grad_norm": 1.2883577346801758,
1680
+ "learning_rate": 4.508953940903073e-05,
1681
+ "loss": 0.7385,
1682
+ "step": 7409
1683
+ },
1684
+ {
1685
+ "epoch": 0.10925711768269178,
1686
+ "grad_norm": 1.1537138223648071,
1687
+ "learning_rate": 4.5039440264255994e-05,
1688
+ "loss": 0.7504,
1689
+ "step": 7440
1690
+ },
1691
+ {
1692
+ "epoch": 0.10971235567303633,
1693
+ "grad_norm": 1.1870883703231812,
1694
+ "learning_rate": 4.498911497712155e-05,
1695
+ "loss": 0.7407,
1696
+ "step": 7471
1697
+ },
1698
+ {
1699
+ "epoch": 0.11016759366338087,
1700
+ "grad_norm": 1.17220139503479,
1701
+ "learning_rate": 4.493856411554142e-05,
1702
+ "loss": 0.7411,
1703
+ "step": 7502
1704
+ },
1705
+ {
1706
+ "epoch": 0.11062283165372543,
1707
+ "grad_norm": 1.3021382093429565,
1708
+ "learning_rate": 4.4887788249975206e-05,
1709
+ "loss": 0.7389,
1710
+ "step": 7533
1711
+ },
1712
+ {
1713
+ "epoch": 0.11107806964406998,
1714
+ "grad_norm": 1.1180227994918823,
1715
+ "learning_rate": 4.4836787953421656e-05,
1716
+ "loss": 0.7392,
1717
+ "step": 7564
1718
+ },
1719
+ {
1720
+ "epoch": 0.11153330763441452,
1721
+ "grad_norm": 1.2459032535552979,
1722
+ "learning_rate": 4.478556380141218e-05,
1723
+ "loss": 0.7426,
1724
+ "step": 7595
1725
+ },
1726
+ {
1727
+ "epoch": 0.11198854562475907,
1728
+ "grad_norm": 1.1883258819580078,
1729
+ "learning_rate": 4.4734116372004375e-05,
1730
+ "loss": 0.7387,
1731
+ "step": 7626
1732
+ },
1733
+ {
1734
+ "epoch": 0.11244378361510363,
1735
+ "grad_norm": 1.1959495544433594,
1736
+ "learning_rate": 4.4682446245775477e-05,
1737
+ "loss": 0.7504,
1738
+ "step": 7657
1739
+ },
1740
+ {
1741
+ "epoch": 0.11289902160544817,
1742
+ "grad_norm": 1.1768792867660522,
1743
+ "learning_rate": 4.463055400581586e-05,
1744
+ "loss": 0.7429,
1745
+ "step": 7688
1746
+ },
1747
+ {
1748
+ "epoch": 0.11335425959579272,
1749
+ "grad_norm": 1.1907637119293213,
1750
+ "learning_rate": 4.4578440237722374e-05,
1751
+ "loss": 0.7348,
1752
+ "step": 7719
1753
+ },
1754
+ {
1755
+ "epoch": 0.11380949758613727,
1756
+ "grad_norm": 1.2876102924346924,
1757
+ "learning_rate": 4.452610552959183e-05,
1758
+ "loss": 0.7324,
1759
+ "step": 7750
1760
+ },
1761
+ {
1762
+ "epoch": 0.11426473557648181,
1763
+ "grad_norm": 1.2925732135772705,
1764
+ "learning_rate": 4.447355047201428e-05,
1765
+ "loss": 0.7389,
1766
+ "step": 7781
1767
+ },
1768
+ {
1769
+ "epoch": 0.11471997356682637,
1770
+ "grad_norm": 1.2278777360916138,
1771
+ "learning_rate": 4.4420775658066414e-05,
1772
+ "loss": 0.7354,
1773
+ "step": 7812
1774
+ },
1775
+ {
1776
+ "epoch": 0.11517521155717092,
1777
+ "grad_norm": 1.1406846046447754,
1778
+ "learning_rate": 4.436778168330484e-05,
1779
+ "loss": 0.7427,
1780
+ "step": 7843
1781
+ },
1782
+ {
1783
+ "epoch": 0.11563044954751546,
1784
+ "grad_norm": 1.3335959911346436,
1785
+ "learning_rate": 4.4314569145759353e-05,
1786
+ "loss": 0.7352,
1787
+ "step": 7874
1788
+ },
1789
+ {
1790
+ "epoch": 0.11608568753786001,
1791
+ "grad_norm": 1.169438362121582,
1792
+ "learning_rate": 4.42611386459262e-05,
1793
+ "loss": 0.7442,
1794
+ "step": 7905
1795
+ },
1796
+ {
1797
+ "epoch": 0.11654092552820457,
1798
+ "grad_norm": 1.1747533082962036,
1799
+ "learning_rate": 4.420749078676133e-05,
1800
+ "loss": 0.7403,
1801
+ "step": 7936
1802
+ },
1803
+ {
1804
+ "epoch": 0.1169961635185491,
1805
+ "grad_norm": 1.1429502964019775,
1806
+ "learning_rate": 4.4153626173673516e-05,
1807
+ "loss": 0.7429,
1808
+ "step": 7967
1809
+ },
1810
+ {
1811
+ "epoch": 0.11745140150889366,
1812
+ "grad_norm": 1.1959199905395508,
1813
+ "learning_rate": 4.409954541451762e-05,
1814
+ "loss": 0.7321,
1815
+ "step": 7998
1816
+ },
1817
+ {
1818
+ "epoch": 0.11790663949923821,
1819
+ "grad_norm": 1.1771682500839233,
1820
+ "learning_rate": 4.404524911958764e-05,
1821
+ "loss": 0.7409,
1822
+ "step": 8029
1823
+ },
1824
+ {
1825
+ "epoch": 0.11836187748958275,
1826
+ "grad_norm": 1.2091805934906006,
1827
+ "learning_rate": 4.399073790160989e-05,
1828
+ "loss": 0.7383,
1829
+ "step": 8060
1830
+ },
1831
+ {
1832
+ "epoch": 0.11881711547992731,
1833
+ "grad_norm": 1.2129122018814087,
1834
+ "learning_rate": 4.393601237573607e-05,
1835
+ "loss": 0.7406,
1836
+ "step": 8091
1837
+ },
1838
+ {
1839
+ "epoch": 0.11927235347027186,
1840
+ "grad_norm": 1.1697229146957397,
1841
+ "learning_rate": 4.388107315953628e-05,
1842
+ "loss": 0.7417,
1843
+ "step": 8122
1844
+ },
1845
+ {
1846
+ "epoch": 0.1197275914606164,
1847
+ "grad_norm": 1.3066540956497192,
1848
+ "learning_rate": 4.382592087299212e-05,
1849
+ "loss": 0.7313,
1850
+ "step": 8153
1851
+ },
1852
+ {
1853
+ "epoch": 0.12018282945096095,
1854
+ "grad_norm": 1.201402187347412,
1855
+ "learning_rate": 4.377055613848964e-05,
1856
+ "loss": 0.7368,
1857
+ "step": 8184
1858
+ },
1859
+ {
1860
+ "epoch": 0.12063806744130551,
1861
+ "grad_norm": 1.2905657291412354,
1862
+ "learning_rate": 4.3714979580812355e-05,
1863
+ "loss": 0.7418,
1864
+ "step": 8215
1865
+ },
1866
+ {
1867
+ "epoch": 0.12109330543165005,
1868
+ "grad_norm": 1.3703011274337769,
1869
+ "learning_rate": 4.365919182713416e-05,
1870
+ "loss": 0.739,
1871
+ "step": 8246
1872
+ },
1873
+ {
1874
+ "epoch": 0.1215485434219946,
1875
+ "grad_norm": 1.1984279155731201,
1876
+ "learning_rate": 4.360319350701226e-05,
1877
+ "loss": 0.7267,
1878
+ "step": 8277
1879
+ },
1880
+ {
1881
+ "epoch": 0.12200378141233915,
1882
+ "grad_norm": 1.2148597240447998,
1883
+ "learning_rate": 4.3546985252380115e-05,
1884
+ "loss": 0.7428,
1885
+ "step": 8308
1886
+ },
1887
+ {
1888
+ "epoch": 0.12245901940268371,
1889
+ "grad_norm": 1.248827338218689,
1890
+ "learning_rate": 4.349056769754021e-05,
1891
+ "loss": 0.7417,
1892
+ "step": 8339
1893
+ },
1894
+ {
1895
+ "epoch": 0.12291425739302825,
1896
+ "grad_norm": 1.1947282552719116,
1897
+ "learning_rate": 4.3433941479156994e-05,
1898
+ "loss": 0.7415,
1899
+ "step": 8370
1900
+ },
1901
+ {
1902
+ "epoch": 0.1233694953833728,
1903
+ "grad_norm": 1.411094069480896,
1904
+ "learning_rate": 4.3377107236249647e-05,
1905
+ "loss": 0.7339,
1906
+ "step": 8401
1907
+ },
1908
+ {
1909
+ "epoch": 0.12382473337371736,
1910
+ "grad_norm": 1.2265312671661377,
1911
+ "learning_rate": 4.332006561018488e-05,
1912
+ "loss": 0.739,
1913
+ "step": 8432
1914
+ },
1915
+ {
1916
+ "epoch": 0.1242799713640619,
1917
+ "grad_norm": 1.2488131523132324,
1918
+ "learning_rate": 4.3262817244669683e-05,
1919
+ "loss": 0.731,
1920
+ "step": 8463
1921
+ },
1922
+ {
1923
+ "epoch": 0.12473520935440645,
1924
+ "grad_norm": 1.3681105375289917,
1925
+ "learning_rate": 4.3205362785744083e-05,
1926
+ "loss": 0.7391,
1927
+ "step": 8494
1928
+ },
1929
+ {
1930
+ "epoch": 0.125190447344751,
1931
+ "grad_norm": 1.162979245185852,
1932
+ "learning_rate": 4.314770288177384e-05,
1933
+ "loss": 0.7335,
1934
+ "step": 8525
1935
+ },
1936
+ {
1937
+ "epoch": 0.12564568533509554,
1938
+ "grad_norm": 1.1419830322265625,
1939
+ "learning_rate": 4.308983818344313e-05,
1940
+ "loss": 0.7267,
1941
+ "step": 8556
1942
+ },
1943
+ {
1944
+ "epoch": 0.1261009233254401,
1945
+ "grad_norm": 1.134889841079712,
1946
+ "learning_rate": 4.3031769343747206e-05,
1947
+ "loss": 0.7335,
1948
+ "step": 8587
1949
+ },
1950
+ {
1951
+ "epoch": 0.12655616131578465,
1952
+ "grad_norm": 1.1606464385986328,
1953
+ "learning_rate": 4.297349701798505e-05,
1954
+ "loss": 0.73,
1955
+ "step": 8618
1956
+ },
1957
+ {
1958
+ "epoch": 0.1270113993061292,
1959
+ "grad_norm": 1.210892915725708,
1960
+ "learning_rate": 4.2915021863751916e-05,
1961
+ "loss": 0.7414,
1962
+ "step": 8649
1963
+ },
1964
+ {
1965
+ "epoch": 0.12746663729647373,
1966
+ "grad_norm": 1.2415282726287842,
1967
+ "learning_rate": 4.285634454093198e-05,
1968
+ "loss": 0.7331,
1969
+ "step": 8680
1970
+ },
1971
+ {
1972
+ "epoch": 0.12792187528681828,
1973
+ "grad_norm": 1.1473466157913208,
1974
+ "learning_rate": 4.279746571169086e-05,
1975
+ "loss": 0.7245,
1976
+ "step": 8711
1977
+ },
1978
+ {
1979
+ "epoch": 0.12837711327716284,
1980
+ "grad_norm": 1.2628551721572876,
1981
+ "learning_rate": 4.2738386040468136e-05,
1982
+ "loss": 0.7236,
1983
+ "step": 8742
1984
+ },
1985
+ {
1986
+ "epoch": 0.1288323512675074,
1987
+ "grad_norm": 1.1773896217346191,
1988
+ "learning_rate": 4.2679106193969866e-05,
1989
+ "loss": 0.7423,
1990
+ "step": 8773
1991
+ },
1992
+ {
1993
+ "epoch": 0.12928758925785194,
1994
+ "grad_norm": 1.3294051885604858,
1995
+ "learning_rate": 4.261962684116106e-05,
1996
+ "loss": 0.7305,
1997
+ "step": 8804
1998
+ },
1999
+ {
2000
+ "epoch": 0.1297428272481965,
2001
+ "grad_norm": 1.3396165370941162,
2002
+ "learning_rate": 4.2559948653258145e-05,
2003
+ "loss": 0.7381,
2004
+ "step": 8835
2005
+ },
2006
+ {
2007
+ "epoch": 0.13019806523854102,
2008
+ "grad_norm": 1.1799919605255127,
2009
+ "learning_rate": 4.250007230372134e-05,
2010
+ "loss": 0.7266,
2011
+ "step": 8866
2012
+ },
2013
+ {
2014
+ "epoch": 0.13065330322888558,
2015
+ "grad_norm": 1.034415364265442,
2016
+ "learning_rate": 4.2439998468247126e-05,
2017
+ "loss": 0.7234,
2018
+ "step": 8897
2019
+ },
2020
+ {
2021
+ "epoch": 0.13110854121923013,
2022
+ "grad_norm": 1.0857855081558228,
2023
+ "learning_rate": 4.2379727824760566e-05,
2024
+ "loss": 0.7228,
2025
+ "step": 8928
2026
+ },
2027
+ {
2028
+ "epoch": 0.13156377920957468,
2029
+ "grad_norm": 1.2164474725723267,
2030
+ "learning_rate": 4.231926105340768e-05,
2031
+ "loss": 0.7326,
2032
+ "step": 8959
2033
+ },
2034
+ {
2035
+ "epoch": 0.13201901719991924,
2036
+ "grad_norm": 1.2720903158187866,
2037
+ "learning_rate": 4.225859883654776e-05,
2038
+ "loss": 0.7355,
2039
+ "step": 8990
2040
+ },
2041
+ {
2042
+ "epoch": 0.1324742551902638,
2043
+ "grad_norm": 1.3475810289382935,
2044
+ "learning_rate": 4.219774185874569e-05,
2045
+ "loss": 0.7347,
2046
+ "step": 9021
2047
+ },
2048
+ {
2049
+ "epoch": 0.13292949318060834,
2050
+ "grad_norm": 1.1008576154708862,
2051
+ "learning_rate": 4.213669080676418e-05,
2052
+ "loss": 0.731,
2053
+ "step": 9052
2054
+ },
2055
+ {
2056
+ "epoch": 0.13338473117095287,
2057
+ "grad_norm": 1.2972562313079834,
2058
+ "learning_rate": 4.2075446369556056e-05,
2059
+ "loss": 0.7275,
2060
+ "step": 9083
2061
+ },
2062
+ {
2063
+ "epoch": 0.13383996916129742,
2064
+ "grad_norm": 1.1450635194778442,
2065
+ "learning_rate": 4.201400923825648e-05,
2066
+ "loss": 0.7326,
2067
+ "step": 9114
2068
+ },
2069
+ {
2070
+ "epoch": 0.13429520715164198,
2071
+ "grad_norm": 1.1544524431228638,
2072
+ "learning_rate": 4.195238010617511e-05,
2073
+ "loss": 0.734,
2074
+ "step": 9145
2075
+ },
2076
+ {
2077
+ "epoch": 0.13475044514198653,
2078
+ "grad_norm": 1.2136210203170776,
2079
+ "learning_rate": 4.1890559668788344e-05,
2080
+ "loss": 0.7313,
2081
+ "step": 9176
2082
+ },
2083
+ {
2084
+ "epoch": 0.13520568313233108,
2085
+ "grad_norm": 1.1666619777679443,
2086
+ "learning_rate": 4.1828548623731405e-05,
2087
+ "loss": 0.7329,
2088
+ "step": 9207
2089
+ },
2090
+ {
2091
+ "epoch": 0.13566092112267564,
2092
+ "grad_norm": 1.271567702293396,
2093
+ "learning_rate": 4.1766347670790506e-05,
2094
+ "loss": 0.7399,
2095
+ "step": 9238
2096
+ },
2097
+ {
2098
+ "epoch": 0.13611615911302016,
2099
+ "grad_norm": 1.22068452835083,
2100
+ "learning_rate": 4.170395751189495e-05,
2101
+ "loss": 0.7233,
2102
+ "step": 9269
2103
+ },
2104
+ {
2105
+ "epoch": 0.13657139710336472,
2106
+ "grad_norm": 1.2430123090744019,
2107
+ "learning_rate": 4.164137885110921e-05,
2108
+ "loss": 0.7325,
2109
+ "step": 9300
2110
+ },
2111
+ {
2112
+ "epoch": 0.13702663509370927,
2113
+ "grad_norm": 1.254123330116272,
2114
+ "learning_rate": 4.157861239462495e-05,
2115
+ "loss": 0.7229,
2116
+ "step": 9331
2117
+ },
2118
+ {
2119
+ "epoch": 0.13748187308405382,
2120
+ "grad_norm": 1.1151642799377441,
2121
+ "learning_rate": 4.1515658850753114e-05,
2122
+ "loss": 0.735,
2123
+ "step": 9362
2124
+ },
2125
+ {
2126
+ "epoch": 0.13793711107439838,
2127
+ "grad_norm": 1.3190901279449463,
2128
+ "learning_rate": 4.145251892991588e-05,
2129
+ "loss": 0.7279,
2130
+ "step": 9393
2131
+ },
2132
+ {
2133
+ "epoch": 0.13839234906474293,
2134
+ "grad_norm": 1.145297646522522,
2135
+ "learning_rate": 4.138919334463868e-05,
2136
+ "loss": 0.7303,
2137
+ "step": 9424
2138
+ },
2139
+ {
2140
+ "epoch": 0.13884758705508746,
2141
+ "grad_norm": 1.1102197170257568,
2142
+ "learning_rate": 4.1325682809542124e-05,
2143
+ "loss": 0.7317,
2144
+ "step": 9455
2145
+ },
2146
+ {
2147
+ "epoch": 0.139302825045432,
2148
+ "grad_norm": 1.1502071619033813,
2149
+ "learning_rate": 4.126198804133398e-05,
2150
+ "loss": 0.7239,
2151
+ "step": 9486
2152
+ },
2153
+ {
2154
+ "epoch": 0.13975806303577656,
2155
+ "grad_norm": 1.1646157503128052,
2156
+ "learning_rate": 4.1198109758801055e-05,
2157
+ "loss": 0.7344,
2158
+ "step": 9517
2159
+ },
2160
+ {
2161
+ "epoch": 0.14021330102612112,
2162
+ "grad_norm": 1.106126070022583,
2163
+ "learning_rate": 4.113404868280107e-05,
2164
+ "loss": 0.7218,
2165
+ "step": 9548
2166
+ },
2167
+ {
2168
+ "epoch": 0.14066853901646567,
2169
+ "grad_norm": 1.2062433958053589,
2170
+ "learning_rate": 4.106980553625457e-05,
2171
+ "loss": 0.7309,
2172
+ "step": 9579
2173
+ },
2174
+ {
2175
+ "epoch": 0.14112377700681022,
2176
+ "grad_norm": 1.1536740064620972,
2177
+ "learning_rate": 4.100538104413674e-05,
2178
+ "loss": 0.732,
2179
+ "step": 9610
2180
+ },
2181
+ {
2182
+ "epoch": 0.14157901499715475,
2183
+ "grad_norm": 1.2121433019638062,
2184
+ "learning_rate": 4.09407759334692e-05,
2185
+ "loss": 0.7284,
2186
+ "step": 9641
2187
+ },
2188
+ {
2189
+ "epoch": 0.1420342529874993,
2190
+ "grad_norm": 1.0838932991027832,
2191
+ "learning_rate": 4.087599093331186e-05,
2192
+ "loss": 0.7194,
2193
+ "step": 9672
2194
+ },
2195
+ {
2196
+ "epoch": 0.14248949097784386,
2197
+ "grad_norm": 1.2161401510238647,
2198
+ "learning_rate": 4.081102677475462e-05,
2199
+ "loss": 0.7225,
2200
+ "step": 9703
2201
+ },
2202
+ {
2203
+ "epoch": 0.1429447289681884,
2204
+ "grad_norm": 1.1768158674240112,
2205
+ "learning_rate": 4.0745884190909194e-05,
2206
+ "loss": 0.7284,
2207
+ "step": 9734
2208
+ },
2209
+ {
2210
+ "epoch": 0.14339996695853297,
2211
+ "grad_norm": 1.0994865894317627,
2212
+ "learning_rate": 4.0680563916900796e-05,
2213
+ "loss": 0.7262,
2214
+ "step": 9765
2215
+ },
2216
+ {
2217
+ "epoch": 0.14385520494887752,
2218
+ "grad_norm": 1.1083378791809082,
2219
+ "learning_rate": 4.0615066689859815e-05,
2220
+ "loss": 0.7365,
2221
+ "step": 9796
2222
+ },
2223
+ {
2224
+ "epoch": 0.14431044293922204,
2225
+ "grad_norm": 1.2145380973815918,
2226
+ "learning_rate": 4.0549393248913584e-05,
2227
+ "loss": 0.7175,
2228
+ "step": 9827
2229
+ },
2230
+ {
2231
+ "epoch": 0.1447656809295666,
2232
+ "grad_norm": 1.2533223628997803,
2233
+ "learning_rate": 4.048354433517794e-05,
2234
+ "loss": 0.7227,
2235
+ "step": 9858
2236
+ },
2237
+ {
2238
+ "epoch": 0.14522091891991115,
2239
+ "grad_norm": 1.1712641716003418,
2240
+ "learning_rate": 4.0417520691748916e-05,
2241
+ "loss": 0.7339,
2242
+ "step": 9889
2243
+ },
2244
+ {
2245
+ "epoch": 0.1456761569102557,
2246
+ "grad_norm": 1.193190097808838,
2247
+ "learning_rate": 4.035132306369438e-05,
2248
+ "loss": 0.7224,
2249
+ "step": 9920
2250
+ },
2251
+ {
2252
+ "epoch": 0.14613139490060026,
2253
+ "grad_norm": 1.1931018829345703,
2254
+ "learning_rate": 4.028495219804555e-05,
2255
+ "loss": 0.7301,
2256
+ "step": 9951
2257
+ },
2258
+ {
2259
+ "epoch": 0.1465866328909448,
2260
+ "grad_norm": 1.1219127178192139,
2261
+ "learning_rate": 4.021840884378864e-05,
2262
+ "loss": 0.7243,
2263
+ "step": 9982
2264
+ },
2265
+ {
2266
+ "epoch": 0.14704187088128934,
2267
+ "grad_norm": 1.2533178329467773,
2268
+ "learning_rate": 4.015169375185633e-05,
2269
+ "loss": 0.7243,
2270
+ "step": 10013
2271
+ },
2272
+ {
2273
+ "epoch": 0.1474971088716339,
2274
+ "grad_norm": 1.2068380117416382,
2275
+ "learning_rate": 4.0084807675119396e-05,
2276
+ "loss": 0.7293,
2277
+ "step": 10044
2278
+ },
2279
+ {
2280
+ "epoch": 0.14795234686197845,
2281
+ "grad_norm": 1.1291258335113525,
2282
+ "learning_rate": 4.0017751368378106e-05,
2283
+ "loss": 0.7342,
2284
+ "step": 10075
2285
+ },
2286
+ {
2287
+ "epoch": 0.148407584852323,
2288
+ "grad_norm": 1.1120283603668213,
2289
+ "learning_rate": 3.995052558835377e-05,
2290
+ "loss": 0.7291,
2291
+ "step": 10106
2292
+ },
2293
+ {
2294
+ "epoch": 0.14886282284266755,
2295
+ "grad_norm": 1.154776930809021,
2296
+ "learning_rate": 3.988313109368017e-05,
2297
+ "loss": 0.7236,
2298
+ "step": 10137
2299
+ },
2300
+ {
2301
+ "epoch": 0.1493180608330121,
2302
+ "grad_norm": 1.1486085653305054,
2303
+ "learning_rate": 3.981556864489504e-05,
2304
+ "loss": 0.7249,
2305
+ "step": 10168
2306
+ },
2307
+ {
2308
+ "epoch": 0.14977329882335666,
2309
+ "grad_norm": 1.1259063482284546,
2310
+ "learning_rate": 3.974783900443142e-05,
2311
+ "loss": 0.727,
2312
+ "step": 10199
2313
+ },
2314
+ {
2315
+ "epoch": 0.15022853681370119,
2316
+ "grad_norm": 1.2017011642456055,
2317
+ "learning_rate": 3.9679942936609095e-05,
2318
+ "loss": 0.7229,
2319
+ "step": 10230
2320
+ },
2321
+ {
2322
+ "epoch": 0.15068377480404574,
2323
+ "grad_norm": 1.2615267038345337,
2324
+ "learning_rate": 3.961188120762596e-05,
2325
+ "loss": 0.7253,
2326
+ "step": 10261
2327
+ },
2328
+ {
2329
+ "epoch": 0.1511390127943903,
2330
+ "grad_norm": 1.1844033002853394,
2331
+ "learning_rate": 3.954365458554938e-05,
2332
+ "loss": 0.7274,
2333
+ "step": 10292
2334
+ },
2335
+ {
2336
+ "epoch": 0.15159425078473485,
2337
+ "grad_norm": 1.0273635387420654,
2338
+ "learning_rate": 3.947526384030751e-05,
2339
+ "loss": 0.7273,
2340
+ "step": 10323
2341
+ },
2342
+ {
2343
+ "epoch": 0.1520494887750794,
2344
+ "grad_norm": 1.1291526556015015,
2345
+ "learning_rate": 3.9406709743680624e-05,
2346
+ "loss": 0.7247,
2347
+ "step": 10354
2348
+ },
2349
+ {
2350
+ "epoch": 0.15250472676542395,
2351
+ "grad_norm": 1.0321513414382935,
2352
+ "learning_rate": 3.9337993069292366e-05,
2353
+ "loss": 0.7205,
2354
+ "step": 10385
2355
+ },
2356
+ {
2357
+ "epoch": 0.15295996475576848,
2358
+ "grad_norm": 1.140831708908081,
2359
+ "learning_rate": 3.926911459260109e-05,
2360
+ "loss": 0.7141,
2361
+ "step": 10416
2362
+ },
2363
+ {
2364
+ "epoch": 0.15341520274611303,
2365
+ "grad_norm": 1.1521825790405273,
2366
+ "learning_rate": 3.920007509089102e-05,
2367
+ "loss": 0.7276,
2368
+ "step": 10447
2369
+ },
2370
+ {
2371
+ "epoch": 0.1538704407364576,
2372
+ "grad_norm": 1.1163930892944336,
2373
+ "learning_rate": 3.913087534326357e-05,
2374
+ "loss": 0.7115,
2375
+ "step": 10478
2376
+ },
2377
+ {
2378
+ "epoch": 0.15432567872680214,
2379
+ "grad_norm": 1.1592880487442017,
2380
+ "learning_rate": 3.9061516130628475e-05,
2381
+ "loss": 0.7275,
2382
+ "step": 10509
2383
+ },
2384
+ {
2385
+ "epoch": 0.1547809167171467,
2386
+ "grad_norm": 1.1489180326461792,
2387
+ "learning_rate": 3.8991998235695025e-05,
2388
+ "loss": 0.7343,
2389
+ "step": 10540
2390
+ },
2391
+ {
2392
+ "epoch": 0.15523615470749125,
2393
+ "grad_norm": 1.1153382062911987,
2394
+ "learning_rate": 3.8922322442963224e-05,
2395
+ "loss": 0.7304,
2396
+ "step": 10571
2397
+ },
2398
+ {
2399
+ "epoch": 0.15569139269783577,
2400
+ "grad_norm": 1.2471085786819458,
2401
+ "learning_rate": 3.885248953871491e-05,
2402
+ "loss": 0.7287,
2403
+ "step": 10602
2404
+ },
2405
+ {
2406
+ "epoch": 0.15614663068818033,
2407
+ "grad_norm": 1.1999790668487549,
2408
+ "learning_rate": 3.8782500311004915e-05,
2409
+ "loss": 0.7337,
2410
+ "step": 10633
2411
+ },
2412
+ {
2413
+ "epoch": 0.15660186867852488,
2414
+ "grad_norm": 1.303769588470459,
2415
+ "learning_rate": 3.871235554965218e-05,
2416
+ "loss": 0.7199,
2417
+ "step": 10664
2418
+ },
2419
+ {
2420
+ "epoch": 0.15705710666886943,
2421
+ "grad_norm": 1.1471834182739258,
2422
+ "learning_rate": 3.864205604623078e-05,
2423
+ "loss": 0.7178,
2424
+ "step": 10695
2425
+ },
2426
+ {
2427
+ "epoch": 0.157512344659214,
2428
+ "grad_norm": 1.089218020439148,
2429
+ "learning_rate": 3.857160259406107e-05,
2430
+ "loss": 0.7173,
2431
+ "step": 10726
2432
+ },
2433
+ {
2434
+ "epoch": 0.15796758264955854,
2435
+ "grad_norm": 1.0770212411880493,
2436
+ "learning_rate": 3.8500995988200674e-05,
2437
+ "loss": 0.7202,
2438
+ "step": 10757
2439
+ },
2440
+ {
2441
+ "epoch": 0.15842282063990307,
2442
+ "grad_norm": 1.0965075492858887,
2443
+ "learning_rate": 3.843023702543556e-05,
2444
+ "loss": 0.7267,
2445
+ "step": 10788
2446
+ },
2447
+ {
2448
+ "epoch": 0.15887805863024762,
2449
+ "grad_norm": 1.1376181840896606,
2450
+ "learning_rate": 3.8359326504270984e-05,
2451
+ "loss": 0.7128,
2452
+ "step": 10819
2453
+ },
2454
+ {
2455
+ "epoch": 0.15933329662059217,
2456
+ "grad_norm": 1.1273307800292969,
2457
+ "learning_rate": 3.828826522492255e-05,
2458
+ "loss": 0.7196,
2459
+ "step": 10850
2460
+ },
2461
+ {
2462
+ "epoch": 0.15978853461093673,
2463
+ "grad_norm": 1.151166558265686,
2464
+ "learning_rate": 3.821705398930713e-05,
2465
+ "loss": 0.7239,
2466
+ "step": 10881
2467
+ },
2468
+ {
2469
+ "epoch": 0.16024377260128128,
2470
+ "grad_norm": 1.0326038599014282,
2471
+ "learning_rate": 3.814569360103385e-05,
2472
+ "loss": 0.7209,
2473
+ "step": 10912
2474
+ },
2475
+ {
2476
+ "epoch": 0.16069901059162583,
2477
+ "grad_norm": 1.1757500171661377,
2478
+ "learning_rate": 3.807418486539499e-05,
2479
+ "loss": 0.7235,
2480
+ "step": 10943
2481
+ },
2482
+ {
2483
+ "epoch": 0.16115424858197036,
2484
+ "grad_norm": 1.1348350048065186,
2485
+ "learning_rate": 3.80025285893569e-05,
2486
+ "loss": 0.7214,
2487
+ "step": 10974
2488
+ },
2489
+ {
2490
+ "epoch": 0.16160948657231491,
2491
+ "grad_norm": 1.1032580137252808,
2492
+ "learning_rate": 3.793072558155093e-05,
2493
+ "loss": 0.7232,
2494
+ "step": 11005
2495
+ },
2496
+ {
2497
+ "epoch": 0.16206472456265947,
2498
+ "grad_norm": 1.0477440357208252,
2499
+ "learning_rate": 3.785877665226426e-05,
2500
+ "loss": 0.7185,
2501
+ "step": 11036
2502
+ },
2503
+ {
2504
+ "epoch": 0.16251996255300402,
2505
+ "grad_norm": 1.0568618774414062,
2506
+ "learning_rate": 3.778668261343079e-05,
2507
+ "loss": 0.723,
2508
+ "step": 11067
2509
+ },
2510
+ {
2511
+ "epoch": 0.16297520054334858,
2512
+ "grad_norm": 1.066054105758667,
2513
+ "learning_rate": 3.771444427862192e-05,
2514
+ "loss": 0.7111,
2515
+ "step": 11098
2516
+ },
2517
+ {
2518
+ "epoch": 0.16343043853369313,
2519
+ "grad_norm": 1.108907699584961,
2520
+ "learning_rate": 3.7642062463037465e-05,
2521
+ "loss": 0.7158,
2522
+ "step": 11129
2523
+ },
2524
+ {
2525
+ "epoch": 0.16388567652403765,
2526
+ "grad_norm": 0.9510675072669983,
2527
+ "learning_rate": 3.7569537983496373e-05,
2528
+ "loss": 0.7209,
2529
+ "step": 11160
2530
+ },
2531
+ {
2532
+ "epoch": 0.1643409145143822,
2533
+ "grad_norm": 1.0409342050552368,
2534
+ "learning_rate": 3.749687165842753e-05,
2535
+ "loss": 0.7181,
2536
+ "step": 11191
2537
+ },
2538
+ {
2539
+ "epoch": 0.16479615250472676,
2540
+ "grad_norm": 1.0607185363769531,
2541
+ "learning_rate": 3.7424064307860536e-05,
2542
+ "loss": 0.7214,
2543
+ "step": 11222
2544
+ },
2545
+ {
2546
+ "epoch": 0.16525139049507132,
2547
+ "grad_norm": 1.5347952842712402,
2548
+ "learning_rate": 3.735111675341645e-05,
2549
+ "loss": 0.7216,
2550
+ "step": 11253
2551
+ },
2552
+ {
2553
+ "epoch": 0.16570662848541587,
2554
+ "grad_norm": 1.1136394739151,
2555
+ "learning_rate": 3.7278029818298524e-05,
2556
+ "loss": 0.7169,
2557
+ "step": 11284
2558
+ },
2559
+ {
2560
+ "epoch": 0.16616186647576042,
2561
+ "grad_norm": 1.0864076614379883,
2562
+ "learning_rate": 3.720480432728287e-05,
2563
+ "loss": 0.7144,
2564
+ "step": 11315
2565
+ },
2566
+ {
2567
+ "epoch": 0.16661710446610495,
2568
+ "grad_norm": 1.199810266494751,
2569
+ "learning_rate": 3.71314411067092e-05,
2570
+ "loss": 0.7192,
2571
+ "step": 11346
2572
+ },
2573
+ {
2574
+ "epoch": 0.1670723424564495,
2575
+ "grad_norm": 1.096343994140625,
2576
+ "learning_rate": 3.70579409844715e-05,
2577
+ "loss": 0.7197,
2578
+ "step": 11377
2579
+ },
2580
+ {
2581
+ "epoch": 0.16752758044679406,
2582
+ "grad_norm": 1.1140949726104736,
2583
+ "learning_rate": 3.698430479000865e-05,
2584
+ "loss": 0.727,
2585
+ "step": 11408
2586
+ },
2587
+ {
2588
+ "epoch": 0.1679828184371386,
2589
+ "grad_norm": 1.140215277671814,
2590
+ "learning_rate": 3.691053335429509e-05,
2591
+ "loss": 0.7125,
2592
+ "step": 11439
2593
+ },
2594
+ {
2595
+ "epoch": 0.16843805642748316,
2596
+ "grad_norm": 1.1289955377578735,
2597
+ "learning_rate": 3.683662750983147e-05,
2598
+ "loss": 0.7119,
2599
+ "step": 11470
2600
+ },
2601
+ {
2602
+ "epoch": 0.16889329441782772,
2603
+ "grad_norm": 1.1218159198760986,
2604
+ "learning_rate": 3.676258809063518e-05,
2605
+ "loss": 0.7191,
2606
+ "step": 11501
2607
+ },
2608
+ {
2609
+ "epoch": 0.16934853240817227,
2610
+ "grad_norm": 1.1016902923583984,
2611
+ "learning_rate": 3.6688415932231004e-05,
2612
+ "loss": 0.7231,
2613
+ "step": 11532
2614
+ },
2615
+ {
2616
+ "epoch": 0.1698037703985168,
2617
+ "grad_norm": 1.0611400604248047,
2618
+ "learning_rate": 3.661411187164166e-05,
2619
+ "loss": 0.7242,
2620
+ "step": 11563
2621
+ },
2622
+ {
2623
+ "epoch": 0.17025900838886135,
2624
+ "grad_norm": 1.1272419691085815,
2625
+ "learning_rate": 3.65396767473784e-05,
2626
+ "loss": 0.7122,
2627
+ "step": 11594
2628
+ },
2629
+ {
2630
+ "epoch": 0.1707142463792059,
2631
+ "grad_norm": 1.0000230073928833,
2632
+ "learning_rate": 3.6465111399431465e-05,
2633
+ "loss": 0.714,
2634
+ "step": 11625
2635
+ },
2636
+ {
2637
+ "epoch": 0.17116948436955046,
2638
+ "grad_norm": 1.1173810958862305,
2639
+ "learning_rate": 3.6390416669260674e-05,
2640
+ "loss": 0.7225,
2641
+ "step": 11656
2642
+ },
2643
+ {
2644
+ "epoch": 0.171624722359895,
2645
+ "grad_norm": 1.1445261240005493,
2646
+ "learning_rate": 3.63155933997859e-05,
2647
+ "loss": 0.7234,
2648
+ "step": 11687
2649
+ },
2650
+ {
2651
+ "epoch": 0.17207996035023956,
2652
+ "grad_norm": 1.1363463401794434,
2653
+ "learning_rate": 3.624064243537758e-05,
2654
+ "loss": 0.7195,
2655
+ "step": 11718
2656
+ },
2657
+ {
2658
+ "epoch": 0.1725351983405841,
2659
+ "grad_norm": 1.1406384706497192,
2660
+ "learning_rate": 3.616556462184716e-05,
2661
+ "loss": 0.7181,
2662
+ "step": 11749
2663
+ },
2664
+ {
2665
+ "epoch": 0.17299043633092864,
2666
+ "grad_norm": 1.0934033393859863,
2667
+ "learning_rate": 3.609036080643755e-05,
2668
+ "loss": 0.7142,
2669
+ "step": 11780
2670
+ },
2671
+ {
2672
+ "epoch": 0.1734456743212732,
2673
+ "grad_norm": 1.1739163398742676,
2674
+ "learning_rate": 3.60150318378136e-05,
2675
+ "loss": 0.7206,
2676
+ "step": 11811
2677
+ },
2678
+ {
2679
+ "epoch": 0.17390091231161775,
2680
+ "grad_norm": 1.1040031909942627,
2681
+ "learning_rate": 3.5939578566052465e-05,
2682
+ "loss": 0.7142,
2683
+ "step": 11842
2684
+ },
2685
+ {
2686
+ "epoch": 0.1743561503019623,
2687
+ "grad_norm": 1.0491020679473877,
2688
+ "learning_rate": 3.586400184263408e-05,
2689
+ "loss": 0.7142,
2690
+ "step": 11873
2691
+ },
2692
+ {
2693
+ "epoch": 0.17481138829230686,
2694
+ "grad_norm": 1.1212310791015625,
2695
+ "learning_rate": 3.578830252043148e-05,
2696
+ "loss": 0.7148,
2697
+ "step": 11904
2698
+ },
2699
+ {
2700
+ "epoch": 0.17526662628265138,
2701
+ "grad_norm": 1.1223775148391724,
2702
+ "learning_rate": 3.571248145370125e-05,
2703
+ "loss": 0.7184,
2704
+ "step": 11935
2705
+ },
2706
+ {
2707
+ "epoch": 0.17572186427299594,
2708
+ "grad_norm": 1.1271427869796753,
2709
+ "learning_rate": 3.5636539498073794e-05,
2710
+ "loss": 0.7195,
2711
+ "step": 11966
2712
+ },
2713
+ {
2714
+ "epoch": 0.1761771022633405,
2715
+ "grad_norm": 1.0874998569488525,
2716
+ "learning_rate": 3.556047751054378e-05,
2717
+ "loss": 0.7226,
2718
+ "step": 11997
2719
+ },
2720
+ {
2721
+ "epoch": 0.17663234025368504,
2722
+ "grad_norm": 1.1189168691635132,
2723
+ "learning_rate": 3.548429634946039e-05,
2724
+ "loss": 0.7136,
2725
+ "step": 12028
2726
+ },
2727
+ {
2728
+ "epoch": 0.1770875782440296,
2729
+ "grad_norm": 1.1366541385650635,
2730
+ "learning_rate": 3.540799687451768e-05,
2731
+ "loss": 0.7187,
2732
+ "step": 12059
2733
+ },
2734
+ {
2735
+ "epoch": 0.17754281623437415,
2736
+ "grad_norm": 1.0756332874298096,
2737
+ "learning_rate": 3.533157994674485e-05,
2738
+ "loss": 0.7085,
2739
+ "step": 12090
2740
+ },
2741
+ {
2742
+ "epoch": 0.17799805422471868,
2743
+ "grad_norm": 1.1229898929595947,
2744
+ "learning_rate": 3.5255046428496546e-05,
2745
+ "loss": 0.7259,
2746
+ "step": 12121
2747
+ },
2748
+ {
2749
+ "epoch": 0.17845329221506323,
2750
+ "grad_norm": 0.97579425573349,
2751
+ "learning_rate": 3.517839718344311e-05,
2752
+ "loss": 0.7141,
2753
+ "step": 12152
2754
+ },
2755
+ {
2756
+ "epoch": 0.17890853020540778,
2757
+ "grad_norm": 1.155372977256775,
2758
+ "learning_rate": 3.510163307656086e-05,
2759
+ "loss": 0.7102,
2760
+ "step": 12183
2761
+ },
2762
+ {
2763
+ "epoch": 0.17936376819575234,
2764
+ "grad_norm": 1.114054560661316,
2765
+ "learning_rate": 3.5024754974122324e-05,
2766
+ "loss": 0.7099,
2767
+ "step": 12214
2768
+ },
2769
+ {
2770
+ "epoch": 0.1798190061860969,
2771
+ "grad_norm": 1.1974929571151733,
2772
+ "learning_rate": 3.494776374368643e-05,
2773
+ "loss": 0.7229,
2774
+ "step": 12245
2775
+ },
2776
+ {
2777
+ "epoch": 0.18027424417644144,
2778
+ "grad_norm": 1.0634280443191528,
2779
+ "learning_rate": 3.4870660254088724e-05,
2780
+ "loss": 0.7091,
2781
+ "step": 12276
2782
+ },
2783
+ {
2784
+ "epoch": 0.18072948216678597,
2785
+ "grad_norm": 1.0801422595977783,
2786
+ "learning_rate": 3.479344537543164e-05,
2787
+ "loss": 0.7162,
2788
+ "step": 12307
2789
+ },
2790
+ {
2791
+ "epoch": 0.18118472015713052,
2792
+ "grad_norm": 1.0427660942077637,
2793
+ "learning_rate": 3.4716119979074565e-05,
2794
+ "loss": 0.7175,
2795
+ "step": 12338
2796
+ },
2797
+ {
2798
+ "epoch": 0.18163995814747508,
2799
+ "grad_norm": 1.1020700931549072,
2800
+ "learning_rate": 3.463868493762412e-05,
2801
+ "loss": 0.7129,
2802
+ "step": 12369
2803
+ },
2804
+ {
2805
+ "epoch": 0.18209519613781963,
2806
+ "grad_norm": 1.0598516464233398,
2807
+ "learning_rate": 3.456114112492418e-05,
2808
+ "loss": 0.7106,
2809
+ "step": 12400
2810
+ },
2811
+ {
2812
+ "epoch": 0.18255043412816419,
2813
+ "grad_norm": 1.0527369976043701,
2814
+ "learning_rate": 3.4483489416046164e-05,
2815
+ "loss": 0.7074,
2816
+ "step": 12431
2817
+ },
2818
+ {
2819
+ "epoch": 0.18300567211850874,
2820
+ "grad_norm": 1.1209337711334229,
2821
+ "learning_rate": 3.440573068727905e-05,
2822
+ "loss": 0.7084,
2823
+ "step": 12462
2824
+ },
2825
+ {
2826
+ "epoch": 0.18346091010885326,
2827
+ "grad_norm": 1.075538992881775,
2828
+ "learning_rate": 3.4327865816119495e-05,
2829
+ "loss": 0.7129,
2830
+ "step": 12493
2831
+ },
2832
+ {
2833
+ "epoch": 0.18391614809919782,
2834
+ "grad_norm": 1.1929987668991089,
2835
+ "learning_rate": 3.4249895681262025e-05,
2836
+ "loss": 0.7143,
2837
+ "step": 12524
2838
+ },
2839
+ {
2840
+ "epoch": 0.18437138608954237,
2841
+ "grad_norm": 1.1039793491363525,
2842
+ "learning_rate": 3.417182116258899e-05,
2843
+ "loss": 0.7133,
2844
+ "step": 12555
2845
+ },
2846
+ {
2847
+ "epoch": 0.18482662407988693,
2848
+ "grad_norm": 1.0911282300949097,
2849
+ "learning_rate": 3.409364314116074e-05,
2850
+ "loss": 0.7184,
2851
+ "step": 12586
2852
+ },
2853
+ {
2854
+ "epoch": 0.18528186207023148,
2855
+ "grad_norm": 1.0749549865722656,
2856
+ "learning_rate": 3.401536249920559e-05,
2857
+ "loss": 0.7134,
2858
+ "step": 12617
2859
+ },
2860
+ {
2861
+ "epoch": 0.18573710006057603,
2862
+ "grad_norm": 1.1577101945877075,
2863
+ "learning_rate": 3.393698012010998e-05,
2864
+ "loss": 0.7189,
2865
+ "step": 12648
2866
+ },
2867
+ {
2868
+ "epoch": 0.18619233805092056,
2869
+ "grad_norm": 1.0742738246917725,
2870
+ "learning_rate": 3.385849688840839e-05,
2871
+ "loss": 0.7139,
2872
+ "step": 12679
2873
+ },
2874
+ {
2875
+ "epoch": 0.1866475760412651,
2876
+ "grad_norm": 1.0930507183074951,
2877
+ "learning_rate": 3.3779913689773414e-05,
2878
+ "loss": 0.71,
2879
+ "step": 12710
2880
+ },
2881
+ {
2882
+ "epoch": 0.18710281403160967,
2883
+ "grad_norm": 1.106213927268982,
2884
+ "learning_rate": 3.370123141100578e-05,
2885
+ "loss": 0.7149,
2886
+ "step": 12741
2887
+ },
2888
+ {
2889
+ "epoch": 0.18755805202195422,
2890
+ "grad_norm": 1.1760305166244507,
2891
+ "learning_rate": 3.3622450940024305e-05,
2892
+ "loss": 0.7111,
2893
+ "step": 12772
2894
+ },
2895
+ {
2896
+ "epoch": 0.18801329001229877,
2897
+ "grad_norm": 1.0691040754318237,
2898
+ "learning_rate": 3.35435731658559e-05,
2899
+ "loss": 0.7226,
2900
+ "step": 12803
2901
+ },
2902
+ {
2903
+ "epoch": 0.18846852800264333,
2904
+ "grad_norm": 1.125360131263733,
2905
+ "learning_rate": 3.346459897862552e-05,
2906
+ "loss": 0.7189,
2907
+ "step": 12834
2908
+ },
2909
+ {
2910
+ "epoch": 0.18892376599298788,
2911
+ "grad_norm": 0.998501718044281,
2912
+ "learning_rate": 3.338552926954613e-05,
2913
+ "loss": 0.7135,
2914
+ "step": 12865
2915
+ },
2916
+ {
2917
+ "epoch": 0.1893790039833324,
2918
+ "grad_norm": 1.159458041191101,
2919
+ "learning_rate": 3.330636493090868e-05,
2920
+ "loss": 0.7097,
2921
+ "step": 12896
2922
+ },
2923
+ {
2924
+ "epoch": 0.18983424197367696,
2925
+ "grad_norm": 1.0852668285369873,
2926
+ "learning_rate": 3.322710685607193e-05,
2927
+ "loss": 0.7159,
2928
+ "step": 12927
2929
+ },
2930
+ {
2931
+ "epoch": 0.1902894799640215,
2932
+ "grad_norm": 1.04311203956604,
2933
+ "learning_rate": 3.314775593945251e-05,
2934
+ "loss": 0.7095,
2935
+ "step": 12958
2936
+ },
2937
+ {
2938
+ "epoch": 0.19074471795436607,
2939
+ "grad_norm": 1.18183434009552,
2940
+ "learning_rate": 3.3068313076514714e-05,
2941
+ "loss": 0.7202,
2942
+ "step": 12989
2943
+ },
2944
+ {
2945
+ "epoch": 0.19119995594471062,
2946
+ "grad_norm": 1.053841233253479,
2947
+ "learning_rate": 3.298877916376047e-05,
2948
+ "loss": 0.7124,
2949
+ "step": 13020
2950
+ },
2951
+ {
2952
+ "epoch": 0.19165519393505517,
2953
+ "grad_norm": 1.0783239603042603,
2954
+ "learning_rate": 3.290915509871915e-05,
2955
+ "loss": 0.7213,
2956
+ "step": 13051
2957
+ },
2958
+ {
2959
+ "epoch": 0.1921104319253997,
2960
+ "grad_norm": 1.0454438924789429,
2961
+ "learning_rate": 3.282944177993753e-05,
2962
+ "loss": 0.7176,
2963
+ "step": 13082
2964
+ },
2965
+ {
2966
+ "epoch": 0.19256566991574425,
2967
+ "grad_norm": 0.9800693988800049,
2968
+ "learning_rate": 3.274964010696957e-05,
2969
+ "loss": 0.7114,
2970
+ "step": 13113
2971
+ },
2972
+ {
2973
+ "epoch": 0.1930209079060888,
2974
+ "grad_norm": 1.0425992012023926,
2975
+ "learning_rate": 3.266975098036629e-05,
2976
+ "loss": 0.7068,
2977
+ "step": 13144
2978
+ },
2979
+ {
2980
+ "epoch": 0.19347614589643336,
2981
+ "grad_norm": 1.049523115158081,
2982
+ "learning_rate": 3.258977530166562e-05,
2983
+ "loss": 0.7179,
2984
+ "step": 13175
2985
+ },
2986
+ {
2987
+ "epoch": 0.1939313838867779,
2988
+ "grad_norm": 1.0716999769210815,
2989
+ "learning_rate": 3.250971397338227e-05,
2990
+ "loss": 0.7055,
2991
+ "step": 13206
2992
+ },
2993
+ {
2994
+ "epoch": 0.19438662187712247,
2995
+ "grad_norm": 1.143379807472229,
2996
+ "learning_rate": 3.2429567898997404e-05,
2997
+ "loss": 0.705,
2998
+ "step": 13237
2999
+ },
3000
+ {
3001
+ "epoch": 0.194841859867467,
3002
+ "grad_norm": 1.0960956811904907,
3003
+ "learning_rate": 3.234933798294859e-05,
3004
+ "loss": 0.7074,
3005
+ "step": 13268
3006
+ },
3007
+ {
3008
+ "epoch": 0.19529709785781155,
3009
+ "grad_norm": 4.071056842803955,
3010
+ "learning_rate": 3.2269025130619535e-05,
3011
+ "loss": 0.7081,
3012
+ "step": 13299
3013
+ },
3014
+ {
3015
+ "epoch": 0.1957523358481561,
3016
+ "grad_norm": 1.0089994668960571,
3017
+ "learning_rate": 3.218863024832985e-05,
3018
+ "loss": 0.7112,
3019
+ "step": 13330
3020
+ },
3021
+ {
3022
+ "epoch": 0.19620757383850065,
3023
+ "grad_norm": 1.036939263343811,
3024
+ "learning_rate": 3.2108154243324864e-05,
3025
+ "loss": 0.707,
3026
+ "step": 13361
3027
+ },
3028
+ {
3029
+ "epoch": 0.1966628118288452,
3030
+ "grad_norm": 1.0934596061706543,
3031
+ "learning_rate": 3.2027598023765345e-05,
3032
+ "loss": 0.7116,
3033
+ "step": 13392
3034
+ },
3035
+ {
3036
+ "epoch": 0.19711804981918976,
3037
+ "grad_norm": 0.9786377549171448,
3038
+ "learning_rate": 3.194696249871729e-05,
3039
+ "loss": 0.7033,
3040
+ "step": 13423
3041
+ },
3042
+ {
3043
+ "epoch": 0.1975732878095343,
3044
+ "grad_norm": 1.1358857154846191,
3045
+ "learning_rate": 3.186624857814164e-05,
3046
+ "loss": 0.7076,
3047
+ "step": 13454
3048
+ },
3049
+ {
3050
+ "epoch": 0.19802852579987884,
3051
+ "grad_norm": 1.0696585178375244,
3052
+ "learning_rate": 3.178545717288401e-05,
3053
+ "loss": 0.7038,
3054
+ "step": 13485
3055
+ },
3056
+ {
3057
+ "epoch": 0.1984837637902234,
3058
+ "grad_norm": 1.1593236923217773,
3059
+ "learning_rate": 3.170458919466444e-05,
3060
+ "loss": 0.7081,
3061
+ "step": 13516
3062
+ },
3063
+ {
3064
+ "epoch": 0.19893900178056795,
3065
+ "grad_norm": 1.1371269226074219,
3066
+ "learning_rate": 3.1623645556067063e-05,
3067
+ "loss": 0.7096,
3068
+ "step": 13547
3069
+ },
3070
+ {
3071
+ "epoch": 0.1993942397709125,
3072
+ "grad_norm": 1.1223064661026,
3073
+ "learning_rate": 3.154262717052985e-05,
3074
+ "loss": 0.7112,
3075
+ "step": 13578
3076
+ },
3077
+ {
3078
+ "epoch": 0.19984947776125705,
3079
+ "grad_norm": 1.1869999170303345,
3080
+ "learning_rate": 3.146153495233426e-05,
3081
+ "loss": 0.7064,
3082
+ "step": 13609
3083
+ },
3084
+ {
3085
+ "epoch": 0.20030471575160158,
3086
+ "grad_norm": 1.0449695587158203,
3087
+ "learning_rate": 3.1380369816594944e-05,
3088
+ "loss": 0.715,
3089
+ "step": 13640
3090
+ },
3091
+ {
3092
+ "epoch": 0.20075995374194613,
3093
+ "grad_norm": 1.041473388671875,
3094
+ "learning_rate": 3.129913267924946e-05,
3095
+ "loss": 0.7117,
3096
+ "step": 13671
3097
+ },
3098
+ {
3099
+ "epoch": 0.2012151917322907,
3100
+ "grad_norm": 1.0208512544631958,
3101
+ "learning_rate": 3.121782445704782e-05,
3102
+ "loss": 0.7068,
3103
+ "step": 13702
3104
+ },
3105
+ {
3106
+ "epoch": 0.20167042972263524,
3107
+ "grad_norm": 0.9912329316139221,
3108
+ "learning_rate": 3.11364460675423e-05,
3109
+ "loss": 0.7095,
3110
+ "step": 13733
3111
+ },
3112
+ {
3113
+ "epoch": 0.2021256677129798,
3114
+ "grad_norm": 0.9953168630599976,
3115
+ "learning_rate": 3.1054998429076934e-05,
3116
+ "loss": 0.7025,
3117
+ "step": 13764
3118
+ },
3119
+ {
3120
+ "epoch": 0.20258090570332435,
3121
+ "grad_norm": 1.0568119287490845,
3122
+ "learning_rate": 3.097348246077728e-05,
3123
+ "loss": 0.7076,
3124
+ "step": 13795
3125
+ },
3126
+ {
3127
+ "epoch": 0.20303614369366887,
3128
+ "grad_norm": 0.9954741597175598,
3129
+ "learning_rate": 3.0891899082539924e-05,
3130
+ "loss": 0.7105,
3131
+ "step": 13826
3132
+ },
3133
+ {
3134
+ "epoch": 0.20349138168401343,
3135
+ "grad_norm": 1.0687825679779053,
3136
+ "learning_rate": 3.0810249215022233e-05,
3137
+ "loss": 0.7024,
3138
+ "step": 13857
3139
+ },
3140
+ {
3141
+ "epoch": 0.20394661967435798,
3142
+ "grad_norm": 1.0794721841812134,
3143
+ "learning_rate": 3.0728533779631865e-05,
3144
+ "loss": 0.6996,
3145
+ "step": 13888
3146
+ },
3147
+ {
3148
+ "epoch": 0.20440185766470254,
3149
+ "grad_norm": 1.1260164976119995,
3150
+ "learning_rate": 3.064675369851637e-05,
3151
+ "loss": 0.709,
3152
+ "step": 13919
3153
+ },
3154
+ {
3155
+ "epoch": 0.2048570956550471,
3156
+ "grad_norm": 1.0633211135864258,
3157
+ "learning_rate": 3.056490989455289e-05,
3158
+ "loss": 0.7125,
3159
+ "step": 13950
3160
+ },
3161
+ {
3162
+ "epoch": 0.20531233364539164,
3163
+ "grad_norm": 0.9579554796218872,
3164
+ "learning_rate": 3.0483003291337596e-05,
3165
+ "loss": 0.6983,
3166
+ "step": 13981
3167
+ },
3168
+ {
3169
+ "epoch": 0.20576757163573617,
3170
+ "grad_norm": 1.0886019468307495,
3171
+ "learning_rate": 3.040103481317539e-05,
3172
+ "loss": 0.7076,
3173
+ "step": 14012
3174
+ },
3175
+ {
3176
+ "epoch": 0.20622280962608072,
3177
+ "grad_norm": 1.0991545915603638,
3178
+ "learning_rate": 3.03190053850694e-05,
3179
+ "loss": 0.7003,
3180
+ "step": 14043
3181
+ },
3182
+ {
3183
+ "epoch": 0.20667804761642528,
3184
+ "grad_norm": 0.9896078705787659,
3185
+ "learning_rate": 3.0236915932710573e-05,
3186
+ "loss": 0.6963,
3187
+ "step": 14074
3188
+ },
3189
+ {
3190
+ "epoch": 0.20713328560676983,
3191
+ "grad_norm": 1.0856597423553467,
3192
+ "learning_rate": 3.0154767382467232e-05,
3193
+ "loss": 0.6977,
3194
+ "step": 14105
3195
+ },
3196
+ {
3197
+ "epoch": 0.20758852359711438,
3198
+ "grad_norm": 1.0282793045043945,
3199
+ "learning_rate": 3.0072560661374582e-05,
3200
+ "loss": 0.704,
3201
+ "step": 14136
3202
+ },
3203
+ {
3204
+ "epoch": 0.20804376158745894,
3205
+ "grad_norm": 1.0672529935836792,
3206
+ "learning_rate": 2.999029669712431e-05,
3207
+ "loss": 0.7134,
3208
+ "step": 14167
3209
+ },
3210
+ {
3211
+ "epoch": 0.2084989995778035,
3212
+ "grad_norm": 1.1591187715530396,
3213
+ "learning_rate": 2.990797641805408e-05,
3214
+ "loss": 0.7058,
3215
+ "step": 14198
3216
+ },
3217
+ {
3218
+ "epoch": 0.20895423756814802,
3219
+ "grad_norm": 0.9841179847717285,
3220
+ "learning_rate": 2.982560075313704e-05,
3221
+ "loss": 0.6952,
3222
+ "step": 14229
3223
+ },
3224
+ {
3225
+ "epoch": 0.20940947555849257,
3226
+ "grad_norm": 1.099001407623291,
3227
+ "learning_rate": 2.9743170631971368e-05,
3228
+ "loss": 0.7048,
3229
+ "step": 14260
3230
+ },
3231
+ {
3232
+ "epoch": 0.20986471354883712,
3233
+ "grad_norm": 1.0944379568099976,
3234
+ "learning_rate": 2.9660686984769792e-05,
3235
+ "loss": 0.7081,
3236
+ "step": 14291
3237
+ },
3238
+ {
3239
+ "epoch": 0.21031995153918168,
3240
+ "grad_norm": 1.1136280298233032,
3241
+ "learning_rate": 2.9578150742349047e-05,
3242
+ "loss": 0.7057,
3243
+ "step": 14322
3244
+ },
3245
+ {
3246
+ "epoch": 0.21077518952952623,
3247
+ "grad_norm": 1.1170709133148193,
3248
+ "learning_rate": 2.949556283611942e-05,
3249
+ "loss": 0.7048,
3250
+ "step": 14353
3251
+ },
3252
+ {
3253
+ "epoch": 0.21123042751987078,
3254
+ "grad_norm": 1.025364875793457,
3255
+ "learning_rate": 2.9412924198074206e-05,
3256
+ "loss": 0.7069,
3257
+ "step": 14384
3258
+ },
3259
+ {
3260
+ "epoch": 0.2116856655102153,
3261
+ "grad_norm": 1.078324794769287,
3262
+ "learning_rate": 2.9330235760779208e-05,
3263
+ "loss": 0.7042,
3264
+ "step": 14415
3265
+ },
3266
+ {
3267
+ "epoch": 0.21214090350055986,
3268
+ "grad_norm": 1.3148599863052368,
3269
+ "learning_rate": 2.9247498457362188e-05,
3270
+ "loss": 0.7007,
3271
+ "step": 14446
3272
+ },
3273
+ {
3274
+ "epoch": 0.21259614149090442,
3275
+ "grad_norm": 1.0996065139770508,
3276
+ "learning_rate": 2.9164713221502373e-05,
3277
+ "loss": 0.6961,
3278
+ "step": 14477
3279
+ },
3280
+ {
3281
+ "epoch": 0.21305137948124897,
3282
+ "grad_norm": 1.0913583040237427,
3283
+ "learning_rate": 2.9081880987419912e-05,
3284
+ "loss": 0.7075,
3285
+ "step": 14508
3286
+ },
3287
+ {
3288
+ "epoch": 0.21350661747159352,
3289
+ "grad_norm": 1.0781054496765137,
3290
+ "learning_rate": 2.8999002689865296e-05,
3291
+ "loss": 0.7039,
3292
+ "step": 14539
3293
+ },
3294
+ {
3295
+ "epoch": 0.21396185546193808,
3296
+ "grad_norm": 1.1157950162887573,
3297
+ "learning_rate": 2.8916079264108852e-05,
3298
+ "loss": 0.7083,
3299
+ "step": 14570
3300
+ },
3301
+ {
3302
+ "epoch": 0.2144170934522826,
3303
+ "grad_norm": 0.9876468181610107,
3304
+ "learning_rate": 2.883311164593017e-05,
3305
+ "loss": 0.7014,
3306
+ "step": 14601
3307
+ },
3308
+ {
3309
+ "epoch": 0.21487233144262716,
3310
+ "grad_norm": 1.0070513486862183,
3311
+ "learning_rate": 2.875010077160754e-05,
3312
+ "loss": 0.7041,
3313
+ "step": 14632
3314
+ },
3315
+ {
3316
+ "epoch": 0.2153275694329717,
3317
+ "grad_norm": 1.0021169185638428,
3318
+ "learning_rate": 2.866704757790741e-05,
3319
+ "loss": 0.7033,
3320
+ "step": 14663
3321
+ },
3322
+ {
3323
+ "epoch": 0.21578280742331626,
3324
+ "grad_norm": 1.1217141151428223,
3325
+ "learning_rate": 2.858395300207376e-05,
3326
+ "loss": 0.7013,
3327
+ "step": 14694
3328
+ },
3329
+ {
3330
+ "epoch": 0.21623804541366082,
3331
+ "grad_norm": 1.0865851640701294,
3332
+ "learning_rate": 2.8500817981817607e-05,
3333
+ "loss": 0.7048,
3334
+ "step": 14725
3335
+ },
3336
+ {
3337
+ "epoch": 0.21669328340400537,
3338
+ "grad_norm": 1.1032036542892456,
3339
+ "learning_rate": 2.8417643455306336e-05,
3340
+ "loss": 0.6971,
3341
+ "step": 14756
3342
+ },
3343
+ {
3344
+ "epoch": 0.2171485213943499,
3345
+ "grad_norm": 1.0487210750579834,
3346
+ "learning_rate": 2.8334430361153185e-05,
3347
+ "loss": 0.7009,
3348
+ "step": 14787
3349
+ },
3350
+ {
3351
+ "epoch": 0.21760375938469445,
3352
+ "grad_norm": 1.1253623962402344,
3353
+ "learning_rate": 2.8251179638406612e-05,
3354
+ "loss": 0.699,
3355
+ "step": 14818
3356
+ },
3357
+ {
3358
+ "epoch": 0.218058997375039,
3359
+ "grad_norm": 0.9654372930526733,
3360
+ "learning_rate": 2.8167892226539704e-05,
3361
+ "loss": 0.7046,
3362
+ "step": 14849
3363
+ },
3364
+ {
3365
+ "epoch": 0.21851423536538356,
3366
+ "grad_norm": 1.0542151927947998,
3367
+ "learning_rate": 2.8084569065439588e-05,
3368
+ "loss": 0.7135,
3369
+ "step": 14880
3370
+ },
3371
+ {
3372
+ "epoch": 0.2189694733557281,
3373
+ "grad_norm": 0.961097776889801,
3374
+ "learning_rate": 2.8001211095396807e-05,
3375
+ "loss": 0.7055,
3376
+ "step": 14911
3377
+ },
3378
+ {
3379
+ "epoch": 0.21942471134607267,
3380
+ "grad_norm": 1.078316330909729,
3381
+ "learning_rate": 2.791781925709473e-05,
3382
+ "loss": 0.6999,
3383
+ "step": 14942
3384
+ },
3385
+ {
3386
+ "epoch": 0.2198799493364172,
3387
+ "grad_norm": 0.9983609318733215,
3388
+ "learning_rate": 2.7834394491598908e-05,
3389
+ "loss": 0.7043,
3390
+ "step": 14973
3391
+ },
3392
+ {
3393
+ "epoch": 0.22033518732676174,
3394
+ "grad_norm": 0.9962406754493713,
3395
+ "learning_rate": 2.7750937740346485e-05,
3396
+ "loss": 0.7011,
3397
+ "step": 15004
3398
+ },
3399
+ {
3400
+ "epoch": 0.2207904253171063,
3401
+ "grad_norm": 1.0712863206863403,
3402
+ "learning_rate": 2.7667449945135564e-05,
3403
+ "loss": 0.7041,
3404
+ "step": 15035
3405
+ },
3406
+ {
3407
+ "epoch": 0.22124566330745085,
3408
+ "grad_norm": 1.158698320388794,
3409
+ "learning_rate": 2.7583932048114557e-05,
3410
+ "loss": 0.6891,
3411
+ "step": 15066
3412
+ },
3413
+ {
3414
+ "epoch": 0.2217009012977954,
3415
+ "grad_norm": 1.1255605220794678,
3416
+ "learning_rate": 2.7500384991771587e-05,
3417
+ "loss": 0.7069,
3418
+ "step": 15097
3419
+ },
3420
+ {
3421
+ "epoch": 0.22215613928813996,
3422
+ "grad_norm": 1.0371211767196655,
3423
+ "learning_rate": 2.7416809718923825e-05,
3424
+ "loss": 0.6996,
3425
+ "step": 15128
3426
+ },
3427
+ {
3428
+ "epoch": 0.22261137727848448,
3429
+ "grad_norm": 1.1083990335464478,
3430
+ "learning_rate": 2.7333207172706864e-05,
3431
+ "loss": 0.6997,
3432
+ "step": 15159
3433
+ },
3434
+ {
3435
+ "epoch": 0.22306661526882904,
3436
+ "grad_norm": 0.9845923781394958,
3437
+ "learning_rate": 2.7249578296564088e-05,
3438
+ "loss": 0.6959,
3439
+ "step": 15190
3440
+ },
3441
+ {
3442
+ "epoch": 0.2235218532591736,
3443
+ "grad_norm": 1.0511544942855835,
3444
+ "learning_rate": 2.7165924034235973e-05,
3445
+ "loss": 0.6991,
3446
+ "step": 15221
3447
+ },
3448
+ {
3449
+ "epoch": 0.22397709124951815,
3450
+ "grad_norm": 1.1612592935562134,
3451
+ "learning_rate": 2.708224532974953e-05,
3452
+ "loss": 0.7084,
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": 1.1258280394232955e+19,
3474
+ "train_batch_size": 8,
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 sha256:6ed4953cdca2d8af8ebc2792354258114b96f58b0e585a4d7d071d70469682cb
3
+ size 5432
checkpoint-22890/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.1-8B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": 128001,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 131072,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 8,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": {
24
+ "factor": 8.0,
25
+ "high_freq_factor": 4.0,
26
+ "low_freq_factor": 1.0,
27
+ "original_max_position_embeddings": 8192,
28
+ "rope_type": "llama3"
29
+ },
30
+ "rope_theta": 500000.0,
31
+ "tie_word_embeddings": false,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.47.0.dev0",
34
+ "use_cache": true,
35
+ "vocab_size": 128256
36
+ }
checkpoint-22890/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 128000,
4
+ "do_sample": true,
5
+ "eos_token_id": 128001,
6
+ "temperature": 0.6,
7
+ "top_p": 0.9,
8
+ "transformers_version": "4.47.0.dev0"
9
+ }
checkpoint-22890/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1450d36ebf639728d4ae63c8d854ff4a4bacc994ac6b48e9cce764fa81ba8412
3
+ size 4886466168
checkpoint-22890/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0901d2e156c6ec7a375c3e90ae5183970af0445d3dc0e53c031b45673775dd64
3
+ size 4832007448
checkpoint-22890/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afa0e22bcade9527b5aeb86066e139cc30979f8492c753ff3277e6189863ab97
3
+ size 4999813112
checkpoint-22890/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc4f5352f30ea036b0a4e24ba9b029dd94a2b30a716c81acc1c4a5e7bb47a042
3
+ size 4999813128
checkpoint-22890/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d9450b209df4cb026b6669e618fcdb6ff4f5bd0a711fb2e502afe0b95eb3ad7
3
+ size 4832007496
checkpoint-22890/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:610fcddb75306213b71341192b37a9fc08c82d180062b15d28da5e66bb74a02d
3
+ size 4999813120
checkpoint-22890/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:608161459288f02586d4a5a441869a3d2b2361b9176bfca3939ba2a6f5ec4065
3
+ size 2571158184
checkpoint-22890/model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 32121044992
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.weight": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
296
+ "model.norm.weight": "model-00007-of-00007.safetensors"
297
+ }
298
+ }
checkpoint-22890/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4530276151fa8995be29523ecc9b2929e1999044eebeeb7268fedc43b973f18d
3
+ size 15385036334
checkpoint-22890/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
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 sha256:6ed4953cdca2d8af8ebc2792354258114b96f58b0e585a4d7d071d70469682cb
3
+ size 5432
checkpoint-30517/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.1-8B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": 128001,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 131072,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 8,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": {
24
+ "factor": 8.0,
25
+ "high_freq_factor": 4.0,
26
+ "low_freq_factor": 1.0,
27
+ "original_max_position_embeddings": 8192,
28
+ "rope_type": "llama3"
29
+ },
30
+ "rope_theta": 500000.0,
31
+ "tie_word_embeddings": false,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.47.0.dev0",
34
+ "use_cache": true,
35
+ "vocab_size": 128256
36
+ }
checkpoint-30517/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 128000,
4
+ "do_sample": true,
5
+ "eos_token_id": 128001,
6
+ "temperature": 0.6,
7
+ "top_p": 0.9,
8
+ "transformers_version": "4.47.0.dev0"
9
+ }
checkpoint-30517/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7a489f9386a826ddfe794ca7200012554eacf465d02fbc314fdab5189e81db0b
3
+ size 4886466168
checkpoint-30517/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0901d2e156c6ec7a375c3e90ae5183970af0445d3dc0e53c031b45673775dd64
3
+ size 4832007448
checkpoint-30517/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afa0e22bcade9527b5aeb86066e139cc30979f8492c753ff3277e6189863ab97
3
+ size 4999813112
checkpoint-30517/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc4f5352f30ea036b0a4e24ba9b029dd94a2b30a716c81acc1c4a5e7bb47a042
3
+ size 4999813128
checkpoint-30517/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d9450b209df4cb026b6669e618fcdb6ff4f5bd0a711fb2e502afe0b95eb3ad7
3
+ size 4832007496
checkpoint-30517/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e2b1ab1eb579cc374bb82d128869fea1b6492ae1b3ed1a22cb06d795ec76c993
3
+ size 4999813120
checkpoint-30517/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55839618416fa79d515339abc67233093d042a764fecfed22a08a60f5e4db542
3
+ size 2571158184
checkpoint-30517/model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 32121044992
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.weight": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00005-of-00007.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00006-of-00007.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00006-of-00007.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
296
+ "model.norm.weight": "model-00007-of-00007.safetensors"
297
+ }
298
+ }
checkpoint-30517/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee04b691ff4330135db2eaec0dfe2c25bdaa9ba8227e2994388c5097c57de830
3
+ size 15385036334
checkpoint-30517/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
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 sha256:6ed4953cdca2d8af8ebc2792354258114b96f58b0e585a4d7d071d70469682cb
3
+ size 5432
checkpoint-7630/config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.1-8B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": 128001,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 131072,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 8,
21
+ "pretraining_tp": 1,
22
+ "rms_norm_eps": 1e-05,
23
+ "rope_scaling": {
24
+ "factor": 8.0,
25
+ "high_freq_factor": 4.0,
26
+ "low_freq_factor": 1.0,
27
+ "original_max_position_embeddings": 8192,
28
+ "rope_type": "llama3"
29
+ },
30
+ "rope_theta": 500000.0,
31
+ "tie_word_embeddings": false,
32
+ "torch_dtype": "float32",
33
+ "transformers_version": "4.47.0.dev0",
34
+ "use_cache": true,
35
+ "vocab_size": 128256
36
+ }
checkpoint-7630/generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 128000,
4
+ "do_sample": true,
5
+ "eos_token_id": 128001,
6
+ "temperature": 0.6,
7
+ "top_p": 0.9,
8
+ "transformers_version": "4.47.0.dev0"
9
+ }
checkpoint-7630/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db40356199cad920448b44313b7f686606544c9648372ae9c8810278ac1d164d
3
+ size 4886466168
checkpoint-7630/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0901d2e156c6ec7a375c3e90ae5183970af0445d3dc0e53c031b45673775dd64
3
+ size 4832007448