atsuki-yamaguchi commited on
Commit
fcc5f9f
·
verified ·
1 Parent(s): 54e80e5

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. checkpoint-12208/config.json +28 -0
  2. checkpoint-12208/generation_config.json +14 -0
  3. checkpoint-12208/model-00001-of-00007.safetensors +3 -0
  4. checkpoint-12208/model-00002-of-00007.safetensors +3 -0
  5. checkpoint-12208/model-00003-of-00007.safetensors +3 -0
  6. checkpoint-12208/model-00004-of-00007.safetensors +3 -0
  7. checkpoint-12208/model-00005-of-00007.safetensors +3 -0
  8. checkpoint-12208/model-00006-of-00007.safetensors +3 -0
  9. checkpoint-12208/model-00007-of-00007.safetensors +3 -0
  10. checkpoint-12208/model.safetensors.index.json +346 -0
  11. checkpoint-12208/optimizer.pt +3 -0
  12. checkpoint-12208/rng_state.pth +3 -0
  13. checkpoint-12208/scheduler.pt +3 -0
  14. checkpoint-12208/trainer_state.json +2784 -0
  15. checkpoint-12208/training_args.bin +3 -0
  16. checkpoint-15260/config.json +28 -0
  17. checkpoint-15260/generation_config.json +14 -0
  18. checkpoint-15260/model-00001-of-00007.safetensors +3 -0
  19. checkpoint-15260/model-00002-of-00007.safetensors +3 -0
  20. checkpoint-15260/model-00003-of-00007.safetensors +3 -0
  21. checkpoint-15260/model-00004-of-00007.safetensors +3 -0
  22. checkpoint-15260/model-00005-of-00007.safetensors +3 -0
  23. checkpoint-15260/model-00006-of-00007.safetensors +3 -0
  24. checkpoint-15260/model-00007-of-00007.safetensors +3 -0
  25. checkpoint-15260/model.safetensors.index.json +346 -0
  26. checkpoint-15260/optimizer.pt +3 -0
  27. checkpoint-15260/rng_state.pth +3 -0
  28. checkpoint-15260/scheduler.pt +3 -0
  29. checkpoint-15260/trainer_state.json +3477 -0
  30. checkpoint-15260/training_args.bin +3 -0
  31. checkpoint-18312/config.json +28 -0
  32. checkpoint-18312/generation_config.json +14 -0
  33. checkpoint-18312/model-00001-of-00007.safetensors +3 -0
  34. checkpoint-18312/model-00002-of-00007.safetensors +3 -0
  35. checkpoint-18312/model-00003-of-00007.safetensors +3 -0
  36. checkpoint-18312/model-00004-of-00007.safetensors +3 -0
  37. checkpoint-18312/model-00005-of-00007.safetensors +3 -0
  38. checkpoint-18312/model-00006-of-00007.safetensors +3 -0
  39. checkpoint-18312/model-00007-of-00007.safetensors +3 -0
  40. checkpoint-18312/model.safetensors.index.json +346 -0
  41. checkpoint-18312/optimizer.pt +3 -0
  42. checkpoint-18312/rng_state.pth +3 -0
  43. checkpoint-18312/scheduler.pt +3 -0
  44. checkpoint-18312/trainer_state.json +0 -0
  45. checkpoint-18312/training_args.bin +3 -0
  46. checkpoint-21364/config.json +28 -0
  47. checkpoint-21364/generation_config.json +14 -0
  48. checkpoint-21364/model-00001-of-00007.safetensors +3 -0
  49. checkpoint-21364/model-00002-of-00007.safetensors +3 -0
  50. checkpoint-21364/model-00003-of-00007.safetensors +3 -0
checkpoint-12208/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Qwen2.5-7B-Instruct-te-madlad-mean/",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 161672
28
+ }
checkpoint-12208/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.44.0.dev0"
14
+ }
checkpoint-12208/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:267cd392fdf9e9940100e3c7bc998f4d6e0af5a0298a44b2e38c9dd48a0ae42a
3
+ size 4842817304
checkpoint-12208/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:becf3c41c7359877372d1f9bdba9efe52cb2b8dab7330b346e831a36665b8f0e
3
+ size 4998852224
checkpoint-12208/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad9da13aef49ef9aa84ff7ac6ae375fc2f8c339648214e7663e44e16a6763847
3
+ size 4984124304
checkpoint-12208/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfc2c86e34819a46908bfe3ad42f3986e7efdfc34f67e43f40f690f77c7b0672
3
+ size 4932743992
checkpoint-12208/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:891f86a74d6b1791b98b581ff94cbedb16bfdb78595b9697dc3fd2ecc5974ba2
3
+ size 4998852296
checkpoint-12208/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:59081cf45ce79282f5e8de76e6911a4b4239410680b53d3b35f7e618d86c9233
3
+ size 3662865184
checkpoint-12208/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05a09d9502f9c3eeee9836978aafa3ace20185bd9a14c03b15b331e650e49cd0
3
+ size 2317729920
checkpoint-12208/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30737946624
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-12208/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49f922fc284e343b45fe31e00a63fd35a89a34ff3f010df429ff442cb2bf424c
3
+ size 16728842070
checkpoint-12208/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-12208/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:abe644ed33a3c4139223f0857a985127f3e6fbaa8c89fa14b57671b49ca52c21
3
+ size 1064
checkpoint-12208/trainer_state.json ADDED
@@ -0,0 +1,2784 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.5150402902586171,
5
+ "eval_steps": 500,
6
+ "global_step": 12208,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0013078513268362654,
13
+ "grad_norm": 31.18772315979004,
14
+ "learning_rate": 1.0157273918741808e-06,
15
+ "loss": 9.3832,
16
+ "step": 31
17
+ },
18
+ {
19
+ "epoch": 0.0026157026536725307,
20
+ "grad_norm": 24.045747756958008,
21
+ "learning_rate": 2.0314547837483616e-06,
22
+ "loss": 7.9011,
23
+ "step": 62
24
+ },
25
+ {
26
+ "epoch": 0.003923553980508796,
27
+ "grad_norm": 16.459999084472656,
28
+ "learning_rate": 3.0471821756225426e-06,
29
+ "loss": 6.3655,
30
+ "step": 93
31
+ },
32
+ {
33
+ "epoch": 0.0052314053073450615,
34
+ "grad_norm": 5.892439365386963,
35
+ "learning_rate": 4.062909567496723e-06,
36
+ "loss": 5.1577,
37
+ "step": 124
38
+ },
39
+ {
40
+ "epoch": 0.0065392566341813275,
41
+ "grad_norm": 7.445889949798584,
42
+ "learning_rate": 5.078636959370905e-06,
43
+ "loss": 4.4767,
44
+ "step": 155
45
+ },
46
+ {
47
+ "epoch": 0.007847107961017593,
48
+ "grad_norm": 8.36017894744873,
49
+ "learning_rate": 6.094364351245085e-06,
50
+ "loss": 4.0756,
51
+ "step": 186
52
+ },
53
+ {
54
+ "epoch": 0.009154959287853858,
55
+ "grad_norm": 13.23757266998291,
56
+ "learning_rate": 7.110091743119267e-06,
57
+ "loss": 3.7893,
58
+ "step": 217
59
+ },
60
+ {
61
+ "epoch": 0.010462810614690123,
62
+ "grad_norm": 10.12263011932373,
63
+ "learning_rate": 8.125819134993446e-06,
64
+ "loss": 3.6154,
65
+ "step": 248
66
+ },
67
+ {
68
+ "epoch": 0.01177066194152639,
69
+ "grad_norm": 6.559150218963623,
70
+ "learning_rate": 9.141546526867629e-06,
71
+ "loss": 3.4391,
72
+ "step": 279
73
+ },
74
+ {
75
+ "epoch": 0.013078513268362655,
76
+ "grad_norm": 6.898993015289307,
77
+ "learning_rate": 1.015727391874181e-05,
78
+ "loss": 3.3229,
79
+ "step": 310
80
+ },
81
+ {
82
+ "epoch": 0.01438636459519892,
83
+ "grad_norm": 8.434200286865234,
84
+ "learning_rate": 1.117300131061599e-05,
85
+ "loss": 3.225,
86
+ "step": 341
87
+ },
88
+ {
89
+ "epoch": 0.015694215922035185,
90
+ "grad_norm": 7.735746383666992,
91
+ "learning_rate": 1.218872870249017e-05,
92
+ "loss": 3.1381,
93
+ "step": 372
94
+ },
95
+ {
96
+ "epoch": 0.01700206724887145,
97
+ "grad_norm": 7.964824676513672,
98
+ "learning_rate": 1.3204456094364351e-05,
99
+ "loss": 3.06,
100
+ "step": 403
101
+ },
102
+ {
103
+ "epoch": 0.018309918575707716,
104
+ "grad_norm": 6.081613063812256,
105
+ "learning_rate": 1.4220183486238533e-05,
106
+ "loss": 3.0052,
107
+ "step": 434
108
+ },
109
+ {
110
+ "epoch": 0.01961776990254398,
111
+ "grad_norm": 6.740341663360596,
112
+ "learning_rate": 1.5235910878112714e-05,
113
+ "loss": 2.9035,
114
+ "step": 465
115
+ },
116
+ {
117
+ "epoch": 0.020925621229380246,
118
+ "grad_norm": 4.908828258514404,
119
+ "learning_rate": 1.6251638269986893e-05,
120
+ "loss": 2.8602,
121
+ "step": 496
122
+ },
123
+ {
124
+ "epoch": 0.02223347255621651,
125
+ "grad_norm": 5.6150360107421875,
126
+ "learning_rate": 1.7267365661861077e-05,
127
+ "loss": 2.8223,
128
+ "step": 527
129
+ },
130
+ {
131
+ "epoch": 0.02354132388305278,
132
+ "grad_norm": 3.5981647968292236,
133
+ "learning_rate": 1.8283093053735257e-05,
134
+ "loss": 2.7488,
135
+ "step": 558
136
+ },
137
+ {
138
+ "epoch": 0.024849175209889045,
139
+ "grad_norm": 4.921584606170654,
140
+ "learning_rate": 1.9298820445609438e-05,
141
+ "loss": 2.741,
142
+ "step": 589
143
+ },
144
+ {
145
+ "epoch": 0.02615702653672531,
146
+ "grad_norm": 3.8303065299987793,
147
+ "learning_rate": 2.031454783748362e-05,
148
+ "loss": 2.6923,
149
+ "step": 620
150
+ },
151
+ {
152
+ "epoch": 0.027464877863561575,
153
+ "grad_norm": 3.3674638271331787,
154
+ "learning_rate": 2.13302752293578e-05,
155
+ "loss": 2.6402,
156
+ "step": 651
157
+ },
158
+ {
159
+ "epoch": 0.02877272919039784,
160
+ "grad_norm": 4.096519947052002,
161
+ "learning_rate": 2.234600262123198e-05,
162
+ "loss": 2.6372,
163
+ "step": 682
164
+ },
165
+ {
166
+ "epoch": 0.030080580517234105,
167
+ "grad_norm": 3.10866641998291,
168
+ "learning_rate": 2.336173001310616e-05,
169
+ "loss": 2.5979,
170
+ "step": 713
171
+ },
172
+ {
173
+ "epoch": 0.03138843184407037,
174
+ "grad_norm": 3.3147943019866943,
175
+ "learning_rate": 2.437745740498034e-05,
176
+ "loss": 2.549,
177
+ "step": 744
178
+ },
179
+ {
180
+ "epoch": 0.032696283170906636,
181
+ "grad_norm": 3.045280933380127,
182
+ "learning_rate": 2.5393184796854525e-05,
183
+ "loss": 2.5487,
184
+ "step": 775
185
+ },
186
+ {
187
+ "epoch": 0.0340041344977429,
188
+ "grad_norm": 3.2536299228668213,
189
+ "learning_rate": 2.6408912188728702e-05,
190
+ "loss": 2.5138,
191
+ "step": 806
192
+ },
193
+ {
194
+ "epoch": 0.035311985824579166,
195
+ "grad_norm": 3.108548641204834,
196
+ "learning_rate": 2.7424639580602886e-05,
197
+ "loss": 2.5006,
198
+ "step": 837
199
+ },
200
+ {
201
+ "epoch": 0.03661983715141543,
202
+ "grad_norm": 3.048689603805542,
203
+ "learning_rate": 2.8440366972477066e-05,
204
+ "loss": 2.4434,
205
+ "step": 868
206
+ },
207
+ {
208
+ "epoch": 0.037927688478251696,
209
+ "grad_norm": 2.8378429412841797,
210
+ "learning_rate": 2.9456094364351244e-05,
211
+ "loss": 2.4403,
212
+ "step": 899
213
+ },
214
+ {
215
+ "epoch": 0.03923553980508796,
216
+ "grad_norm": 2.731419324874878,
217
+ "learning_rate": 3.0471821756225428e-05,
218
+ "loss": 2.4028,
219
+ "step": 930
220
+ },
221
+ {
222
+ "epoch": 0.04054339113192423,
223
+ "grad_norm": 2.4825587272644043,
224
+ "learning_rate": 3.148754914809961e-05,
225
+ "loss": 2.3695,
226
+ "step": 961
227
+ },
228
+ {
229
+ "epoch": 0.04185124245876049,
230
+ "grad_norm": 2.5020129680633545,
231
+ "learning_rate": 3.2503276539973785e-05,
232
+ "loss": 2.3513,
233
+ "step": 992
234
+ },
235
+ {
236
+ "epoch": 0.04315909378559676,
237
+ "grad_norm": 2.374310255050659,
238
+ "learning_rate": 3.351900393184797e-05,
239
+ "loss": 2.3221,
240
+ "step": 1023
241
+ },
242
+ {
243
+ "epoch": 0.04446694511243302,
244
+ "grad_norm": 2.4097862243652344,
245
+ "learning_rate": 3.453473132372215e-05,
246
+ "loss": 2.3366,
247
+ "step": 1054
248
+ },
249
+ {
250
+ "epoch": 0.045774796439269294,
251
+ "grad_norm": 2.573655128479004,
252
+ "learning_rate": 3.555045871559633e-05,
253
+ "loss": 2.2997,
254
+ "step": 1085
255
+ },
256
+ {
257
+ "epoch": 0.04708264776610556,
258
+ "grad_norm": 2.5408434867858887,
259
+ "learning_rate": 3.6566186107470514e-05,
260
+ "loss": 2.2729,
261
+ "step": 1116
262
+ },
263
+ {
264
+ "epoch": 0.048390499092941824,
265
+ "grad_norm": 2.222527265548706,
266
+ "learning_rate": 3.7581913499344695e-05,
267
+ "loss": 2.2716,
268
+ "step": 1147
269
+ },
270
+ {
271
+ "epoch": 0.04969835041977809,
272
+ "grad_norm": 2.342715263366699,
273
+ "learning_rate": 3.8597640891218876e-05,
274
+ "loss": 2.2661,
275
+ "step": 1178
276
+ },
277
+ {
278
+ "epoch": 0.051006201746614355,
279
+ "grad_norm": 2.134208917617798,
280
+ "learning_rate": 3.9613368283093056e-05,
281
+ "loss": 2.2206,
282
+ "step": 1209
283
+ },
284
+ {
285
+ "epoch": 0.05231405307345062,
286
+ "grad_norm": 2.2482688426971436,
287
+ "learning_rate": 4.062909567496724e-05,
288
+ "loss": 2.2207,
289
+ "step": 1240
290
+ },
291
+ {
292
+ "epoch": 0.053621904400286885,
293
+ "grad_norm": 2.2316832542419434,
294
+ "learning_rate": 4.164482306684142e-05,
295
+ "loss": 2.1847,
296
+ "step": 1271
297
+ },
298
+ {
299
+ "epoch": 0.05492975572712315,
300
+ "grad_norm": 2.2321085929870605,
301
+ "learning_rate": 4.26605504587156e-05,
302
+ "loss": 2.2079,
303
+ "step": 1302
304
+ },
305
+ {
306
+ "epoch": 0.056237607053959415,
307
+ "grad_norm": 2.115349054336548,
308
+ "learning_rate": 4.367627785058978e-05,
309
+ "loss": 2.1458,
310
+ "step": 1333
311
+ },
312
+ {
313
+ "epoch": 0.05754545838079568,
314
+ "grad_norm": 2.210914373397827,
315
+ "learning_rate": 4.469200524246396e-05,
316
+ "loss": 2.1435,
317
+ "step": 1364
318
+ },
319
+ {
320
+ "epoch": 0.058853309707631946,
321
+ "grad_norm": 2.1882164478302,
322
+ "learning_rate": 4.570773263433814e-05,
323
+ "loss": 2.1389,
324
+ "step": 1395
325
+ },
326
+ {
327
+ "epoch": 0.06016116103446821,
328
+ "grad_norm": 2.01705265045166,
329
+ "learning_rate": 4.672346002621232e-05,
330
+ "loss": 2.1599,
331
+ "step": 1426
332
+ },
333
+ {
334
+ "epoch": 0.061469012361304476,
335
+ "grad_norm": 1.9447391033172607,
336
+ "learning_rate": 4.77391874180865e-05,
337
+ "loss": 2.1254,
338
+ "step": 1457
339
+ },
340
+ {
341
+ "epoch": 0.06277686368814074,
342
+ "grad_norm": 1.9278348684310913,
343
+ "learning_rate": 4.875491480996068e-05,
344
+ "loss": 2.1109,
345
+ "step": 1488
346
+ },
347
+ {
348
+ "epoch": 0.064084715014977,
349
+ "grad_norm": 167.2142791748047,
350
+ "learning_rate": 4.977064220183487e-05,
351
+ "loss": 2.12,
352
+ "step": 1519
353
+ },
354
+ {
355
+ "epoch": 0.06539256634181327,
356
+ "grad_norm": 15.058513641357422,
357
+ "learning_rate": 4.9999915451558777e-05,
358
+ "loss": 3.2174,
359
+ "step": 1550
360
+ },
361
+ {
362
+ "epoch": 0.06670041766864954,
363
+ "grad_norm": 2.8855061531066895,
364
+ "learning_rate": 4.999955597496219e-05,
365
+ "loss": 2.191,
366
+ "step": 1581
367
+ },
368
+ {
369
+ "epoch": 0.0680082689954858,
370
+ "grad_norm": 1.9484020471572876,
371
+ "learning_rate": 4.9998914381774255e-05,
372
+ "loss": 2.1053,
373
+ "step": 1612
374
+ },
375
+ {
376
+ "epoch": 0.06931612032232207,
377
+ "grad_norm": 5.792853832244873,
378
+ "learning_rate": 4.999799067923527e-05,
379
+ "loss": 2.1058,
380
+ "step": 1643
381
+ },
382
+ {
383
+ "epoch": 0.07062397164915833,
384
+ "grad_norm": 5.8536553382873535,
385
+ "learning_rate": 4.999678487776908e-05,
386
+ "loss": 2.0906,
387
+ "step": 1674
388
+ },
389
+ {
390
+ "epoch": 0.0719318229759946,
391
+ "grad_norm": 2.8606152534484863,
392
+ "learning_rate": 4.9995296990983006e-05,
393
+ "loss": 2.1356,
394
+ "step": 1705
395
+ },
396
+ {
397
+ "epoch": 0.07323967430283086,
398
+ "grad_norm": 2.423034191131592,
399
+ "learning_rate": 4.999352703566763e-05,
400
+ "loss": 2.0468,
401
+ "step": 1736
402
+ },
403
+ {
404
+ "epoch": 0.07454752562966713,
405
+ "grad_norm": 1.7297399044036865,
406
+ "learning_rate": 4.999147503179668e-05,
407
+ "loss": 2.0687,
408
+ "step": 1767
409
+ },
410
+ {
411
+ "epoch": 0.07585537695650339,
412
+ "grad_norm": 4.29679536819458,
413
+ "learning_rate": 4.998914100252672e-05,
414
+ "loss": 2.026,
415
+ "step": 1798
416
+ },
417
+ {
418
+ "epoch": 0.07716322828333966,
419
+ "grad_norm": 1.942807674407959,
420
+ "learning_rate": 4.998652497419696e-05,
421
+ "loss": 2.034,
422
+ "step": 1829
423
+ },
424
+ {
425
+ "epoch": 0.07847107961017592,
426
+ "grad_norm": 1.8823152780532837,
427
+ "learning_rate": 4.9983626976328927e-05,
428
+ "loss": 2.0186,
429
+ "step": 1860
430
+ },
431
+ {
432
+ "epoch": 0.07977893093701219,
433
+ "grad_norm": 2.135873556137085,
434
+ "learning_rate": 4.998044704162613e-05,
435
+ "loss": 2.0047,
436
+ "step": 1891
437
+ },
438
+ {
439
+ "epoch": 0.08108678226384845,
440
+ "grad_norm": 3.113102436065674,
441
+ "learning_rate": 4.9976985205973705e-05,
442
+ "loss": 1.9954,
443
+ "step": 1922
444
+ },
445
+ {
446
+ "epoch": 0.08239463359068472,
447
+ "grad_norm": 2.253596305847168,
448
+ "learning_rate": 4.997324150843799e-05,
449
+ "loss": 1.9744,
450
+ "step": 1953
451
+ },
452
+ {
453
+ "epoch": 0.08370248491752098,
454
+ "grad_norm": 5.765998363494873,
455
+ "learning_rate": 4.99692159912661e-05,
456
+ "loss": 1.9908,
457
+ "step": 1984
458
+ },
459
+ {
460
+ "epoch": 0.08501033624435725,
461
+ "grad_norm": 2.8442440032958984,
462
+ "learning_rate": 4.996490869988546e-05,
463
+ "loss": 1.9803,
464
+ "step": 2015
465
+ },
466
+ {
467
+ "epoch": 0.08631818757119351,
468
+ "grad_norm": 1.7528963088989258,
469
+ "learning_rate": 4.996031968290326e-05,
470
+ "loss": 1.9419,
471
+ "step": 2046
472
+ },
473
+ {
474
+ "epoch": 0.08762603889802978,
475
+ "grad_norm": 1.7754414081573486,
476
+ "learning_rate": 4.995544899210594e-05,
477
+ "loss": 1.9485,
478
+ "step": 2077
479
+ },
480
+ {
481
+ "epoch": 0.08893389022486604,
482
+ "grad_norm": 1.6553430557250977,
483
+ "learning_rate": 4.9950296682458583e-05,
484
+ "loss": 1.9469,
485
+ "step": 2108
486
+ },
487
+ {
488
+ "epoch": 0.09024174155170232,
489
+ "grad_norm": 1.7296561002731323,
490
+ "learning_rate": 4.994486281210429e-05,
491
+ "loss": 1.9195,
492
+ "step": 2139
493
+ },
494
+ {
495
+ "epoch": 0.09154959287853859,
496
+ "grad_norm": 1.7001283168792725,
497
+ "learning_rate": 4.9939147442363566e-05,
498
+ "loss": 1.9324,
499
+ "step": 2170
500
+ },
501
+ {
502
+ "epoch": 0.09285744420537485,
503
+ "grad_norm": 7.332984447479248,
504
+ "learning_rate": 4.9933150637733574e-05,
505
+ "loss": 1.9171,
506
+ "step": 2201
507
+ },
508
+ {
509
+ "epoch": 0.09416529553221112,
510
+ "grad_norm": 1.6546969413757324,
511
+ "learning_rate": 4.992687246588743e-05,
512
+ "loss": 1.9152,
513
+ "step": 2232
514
+ },
515
+ {
516
+ "epoch": 0.09547314685904738,
517
+ "grad_norm": 1.843203067779541,
518
+ "learning_rate": 4.992031299767347e-05,
519
+ "loss": 1.9015,
520
+ "step": 2263
521
+ },
522
+ {
523
+ "epoch": 0.09678099818588365,
524
+ "grad_norm": 4.51094388961792,
525
+ "learning_rate": 4.9913472307114386e-05,
526
+ "loss": 1.917,
527
+ "step": 2294
528
+ },
529
+ {
530
+ "epoch": 0.09808884951271991,
531
+ "grad_norm": 1.5267099142074585,
532
+ "learning_rate": 4.9906350471406446e-05,
533
+ "loss": 1.8985,
534
+ "step": 2325
535
+ },
536
+ {
537
+ "epoch": 0.09939670083955618,
538
+ "grad_norm": 2.0826663970947266,
539
+ "learning_rate": 4.989894757091861e-05,
540
+ "loss": 1.8968,
541
+ "step": 2356
542
+ },
543
+ {
544
+ "epoch": 0.10070455216639244,
545
+ "grad_norm": 1.4929964542388916,
546
+ "learning_rate": 4.989126368919158e-05,
547
+ "loss": 1.8711,
548
+ "step": 2387
549
+ },
550
+ {
551
+ "epoch": 0.10201240349322871,
552
+ "grad_norm": 1.478498935699463,
553
+ "learning_rate": 4.988329891293693e-05,
554
+ "loss": 1.8672,
555
+ "step": 2418
556
+ },
557
+ {
558
+ "epoch": 0.10332025482006497,
559
+ "grad_norm": 1.4785969257354736,
560
+ "learning_rate": 4.987505333203608e-05,
561
+ "loss": 1.8435,
562
+ "step": 2449
563
+ },
564
+ {
565
+ "epoch": 0.10462810614690124,
566
+ "grad_norm": 1.524807333946228,
567
+ "learning_rate": 4.9866527039539276e-05,
568
+ "loss": 1.8543,
569
+ "step": 2480
570
+ },
571
+ {
572
+ "epoch": 0.1059359574737375,
573
+ "grad_norm": 1.4232748746871948,
574
+ "learning_rate": 4.9857720131664594e-05,
575
+ "loss": 1.8463,
576
+ "step": 2511
577
+ },
578
+ {
579
+ "epoch": 0.10724380880057377,
580
+ "grad_norm": 1.7178603410720825,
581
+ "learning_rate": 4.9848632707796773e-05,
582
+ "loss": 1.8512,
583
+ "step": 2542
584
+ },
585
+ {
586
+ "epoch": 0.10855166012741004,
587
+ "grad_norm": 1.4624053239822388,
588
+ "learning_rate": 4.9839264870486155e-05,
589
+ "loss": 1.8421,
590
+ "step": 2573
591
+ },
592
+ {
593
+ "epoch": 0.1098595114542463,
594
+ "grad_norm": 2.0191211700439453,
595
+ "learning_rate": 4.9829616725447526e-05,
596
+ "loss": 1.8393,
597
+ "step": 2604
598
+ },
599
+ {
600
+ "epoch": 0.11116736278108257,
601
+ "grad_norm": 1.4346847534179688,
602
+ "learning_rate": 4.981968838155888e-05,
603
+ "loss": 1.8149,
604
+ "step": 2635
605
+ },
606
+ {
607
+ "epoch": 0.11247521410791883,
608
+ "grad_norm": 1.4674941301345825,
609
+ "learning_rate": 4.980947995086024e-05,
610
+ "loss": 1.8215,
611
+ "step": 2666
612
+ },
613
+ {
614
+ "epoch": 0.1137830654347551,
615
+ "grad_norm": 1.4122453927993774,
616
+ "learning_rate": 4.979899154855234e-05,
617
+ "loss": 1.8265,
618
+ "step": 2697
619
+ },
620
+ {
621
+ "epoch": 0.11509091676159136,
622
+ "grad_norm": 1.4748708009719849,
623
+ "learning_rate": 4.9788223292995386e-05,
624
+ "loss": 1.8149,
625
+ "step": 2728
626
+ },
627
+ {
628
+ "epoch": 0.11639876808842763,
629
+ "grad_norm": 1.40476655960083,
630
+ "learning_rate": 4.977717530570768e-05,
631
+ "loss": 1.8316,
632
+ "step": 2759
633
+ },
634
+ {
635
+ "epoch": 0.11770661941526389,
636
+ "grad_norm": 1.4909706115722656,
637
+ "learning_rate": 4.976584771136425e-05,
638
+ "loss": 1.8208,
639
+ "step": 2790
640
+ },
641
+ {
642
+ "epoch": 0.11901447074210016,
643
+ "grad_norm": 1.3661363124847412,
644
+ "learning_rate": 4.975424063779547e-05,
645
+ "loss": 1.8038,
646
+ "step": 2821
647
+ },
648
+ {
649
+ "epoch": 0.12032232206893642,
650
+ "grad_norm": 1.422453761100769,
651
+ "learning_rate": 4.974235421598557e-05,
652
+ "loss": 1.7926,
653
+ "step": 2852
654
+ },
655
+ {
656
+ "epoch": 0.12163017339577269,
657
+ "grad_norm": 1.3766013383865356,
658
+ "learning_rate": 4.973018858007122e-05,
659
+ "loss": 1.8192,
660
+ "step": 2883
661
+ },
662
+ {
663
+ "epoch": 0.12293802472260895,
664
+ "grad_norm": 1.3904545307159424,
665
+ "learning_rate": 4.9717743867339963e-05,
666
+ "loss": 1.7653,
667
+ "step": 2914
668
+ },
669
+ {
670
+ "epoch": 0.12424587604944522,
671
+ "grad_norm": 1.369018316268921,
672
+ "learning_rate": 4.9705020218228695e-05,
673
+ "loss": 1.7879,
674
+ "step": 2945
675
+ },
676
+ {
677
+ "epoch": 0.12555372737628148,
678
+ "grad_norm": 1.5040982961654663,
679
+ "learning_rate": 4.969201777632205e-05,
680
+ "loss": 1.7777,
681
+ "step": 2976
682
+ },
683
+ {
684
+ "epoch": 0.12686157870311776,
685
+ "grad_norm": 1.3161810636520386,
686
+ "learning_rate": 4.9678736688350846e-05,
687
+ "loss": 1.7654,
688
+ "step": 3007
689
+ },
690
+ {
691
+ "epoch": 0.128169430029954,
692
+ "grad_norm": 1.3379234075546265,
693
+ "learning_rate": 4.966517710419033e-05,
694
+ "loss": 1.7699,
695
+ "step": 3038
696
+ },
697
+ {
698
+ "epoch": 0.1294772813567903,
699
+ "grad_norm": 1.3384974002838135,
700
+ "learning_rate": 4.965133917685858e-05,
701
+ "loss": 1.7915,
702
+ "step": 3069
703
+ },
704
+ {
705
+ "epoch": 0.13078513268362654,
706
+ "grad_norm": 1.2991316318511963,
707
+ "learning_rate": 4.9637223062514714e-05,
708
+ "loss": 1.7636,
709
+ "step": 3100
710
+ },
711
+ {
712
+ "epoch": 0.13209298401046282,
713
+ "grad_norm": 2.500105857849121,
714
+ "learning_rate": 4.962282892045718e-05,
715
+ "loss": 1.7573,
716
+ "step": 3131
717
+ },
718
+ {
719
+ "epoch": 0.13340083533729907,
720
+ "grad_norm": 1.2635610103607178,
721
+ "learning_rate": 4.9608156913121904e-05,
722
+ "loss": 1.7537,
723
+ "step": 3162
724
+ },
725
+ {
726
+ "epoch": 0.13470868666413535,
727
+ "grad_norm": 1.2823940515518188,
728
+ "learning_rate": 4.959320720608049e-05,
729
+ "loss": 1.7709,
730
+ "step": 3193
731
+ },
732
+ {
733
+ "epoch": 0.1360165379909716,
734
+ "grad_norm": 1.2606983184814453,
735
+ "learning_rate": 4.9577979968038354e-05,
736
+ "loss": 1.7611,
737
+ "step": 3224
738
+ },
739
+ {
740
+ "epoch": 0.13732438931780788,
741
+ "grad_norm": 1.305782437324524,
742
+ "learning_rate": 4.956247537083282e-05,
743
+ "loss": 1.7547,
744
+ "step": 3255
745
+ },
746
+ {
747
+ "epoch": 0.13863224064464413,
748
+ "grad_norm": 1.2986756563186646,
749
+ "learning_rate": 4.9546693589431145e-05,
750
+ "loss": 1.7241,
751
+ "step": 3286
752
+ },
753
+ {
754
+ "epoch": 0.1399400919714804,
755
+ "grad_norm": 1.3163083791732788,
756
+ "learning_rate": 4.9530634801928595e-05,
757
+ "loss": 1.7352,
758
+ "step": 3317
759
+ },
760
+ {
761
+ "epoch": 0.14124794329831666,
762
+ "grad_norm": 1.2844524383544922,
763
+ "learning_rate": 4.9514299189546395e-05,
764
+ "loss": 1.7316,
765
+ "step": 3348
766
+ },
767
+ {
768
+ "epoch": 0.14255579462515294,
769
+ "grad_norm": 1.2861442565917969,
770
+ "learning_rate": 4.949768693662973e-05,
771
+ "loss": 1.7233,
772
+ "step": 3379
773
+ },
774
+ {
775
+ "epoch": 0.1438636459519892,
776
+ "grad_norm": 1.2419766187667847,
777
+ "learning_rate": 4.948079823064559e-05,
778
+ "loss": 1.7278,
779
+ "step": 3410
780
+ },
781
+ {
782
+ "epoch": 0.14517149727882547,
783
+ "grad_norm": 1.2518367767333984,
784
+ "learning_rate": 4.946363326218074e-05,
785
+ "loss": 1.7399,
786
+ "step": 3441
787
+ },
788
+ {
789
+ "epoch": 0.14647934860566172,
790
+ "grad_norm": 1.217373251914978,
791
+ "learning_rate": 4.9446192224939525e-05,
792
+ "loss": 1.7386,
793
+ "step": 3472
794
+ },
795
+ {
796
+ "epoch": 0.147787199932498,
797
+ "grad_norm": 1.2229036092758179,
798
+ "learning_rate": 4.942847531574167e-05,
799
+ "loss": 1.7096,
800
+ "step": 3503
801
+ },
802
+ {
803
+ "epoch": 0.14909505125933425,
804
+ "grad_norm": 1.2012135982513428,
805
+ "learning_rate": 4.941048273452008e-05,
806
+ "loss": 1.7195,
807
+ "step": 3534
808
+ },
809
+ {
810
+ "epoch": 0.15040290258617053,
811
+ "grad_norm": 1.2632161378860474,
812
+ "learning_rate": 4.9392214684318605e-05,
813
+ "loss": 1.7377,
814
+ "step": 3565
815
+ },
816
+ {
817
+ "epoch": 0.15171075391300679,
818
+ "grad_norm": 1.2119094133377075,
819
+ "learning_rate": 4.93736713712897e-05,
820
+ "loss": 1.7276,
821
+ "step": 3596
822
+ },
823
+ {
824
+ "epoch": 0.15301860523984306,
825
+ "grad_norm": 1.2516822814941406,
826
+ "learning_rate": 4.9354853004692124e-05,
827
+ "loss": 1.7224,
828
+ "step": 3627
829
+ },
830
+ {
831
+ "epoch": 0.15432645656667932,
832
+ "grad_norm": 1.2437561750411987,
833
+ "learning_rate": 4.93357597968886e-05,
834
+ "loss": 1.703,
835
+ "step": 3658
836
+ },
837
+ {
838
+ "epoch": 0.1556343078935156,
839
+ "grad_norm": 1.4856292009353638,
840
+ "learning_rate": 4.931639196334338e-05,
841
+ "loss": 1.7139,
842
+ "step": 3689
843
+ },
844
+ {
845
+ "epoch": 0.15694215922035185,
846
+ "grad_norm": 1.202919840812683,
847
+ "learning_rate": 4.9296749722619826e-05,
848
+ "loss": 1.7081,
849
+ "step": 3720
850
+ },
851
+ {
852
+ "epoch": 0.15825001054718812,
853
+ "grad_norm": 1.1720086336135864,
854
+ "learning_rate": 4.9276833296377966e-05,
855
+ "loss": 1.7086,
856
+ "step": 3751
857
+ },
858
+ {
859
+ "epoch": 0.15955786187402438,
860
+ "grad_norm": 1.2187249660491943,
861
+ "learning_rate": 4.925664290937196e-05,
862
+ "loss": 1.6871,
863
+ "step": 3782
864
+ },
865
+ {
866
+ "epoch": 0.16086571320086065,
867
+ "grad_norm": 1.1918401718139648,
868
+ "learning_rate": 4.9236178789447576e-05,
869
+ "loss": 1.7058,
870
+ "step": 3813
871
+ },
872
+ {
873
+ "epoch": 0.1621735645276969,
874
+ "grad_norm": 1.1956909894943237,
875
+ "learning_rate": 4.921544116753962e-05,
876
+ "loss": 1.6986,
877
+ "step": 3844
878
+ },
879
+ {
880
+ "epoch": 0.16348141585453319,
881
+ "grad_norm": 1.1646822690963745,
882
+ "learning_rate": 4.919443027766935e-05,
883
+ "loss": 1.6797,
884
+ "step": 3875
885
+ },
886
+ {
887
+ "epoch": 0.16478926718136944,
888
+ "grad_norm": 1.2145137786865234,
889
+ "learning_rate": 4.91731463569418e-05,
890
+ "loss": 1.678,
891
+ "step": 3906
892
+ },
893
+ {
894
+ "epoch": 0.16609711850820572,
895
+ "grad_norm": 1.2347453832626343,
896
+ "learning_rate": 4.915158964554312e-05,
897
+ "loss": 1.672,
898
+ "step": 3937
899
+ },
900
+ {
901
+ "epoch": 0.16740496983504197,
902
+ "grad_norm": 1.1764047145843506,
903
+ "learning_rate": 4.912976038673786e-05,
904
+ "loss": 1.6864,
905
+ "step": 3968
906
+ },
907
+ {
908
+ "epoch": 0.16871282116187825,
909
+ "grad_norm": 1.1730256080627441,
910
+ "learning_rate": 4.9107658826866254e-05,
911
+ "loss": 1.7021,
912
+ "step": 3999
913
+ },
914
+ {
915
+ "epoch": 0.1700206724887145,
916
+ "grad_norm": 1.1880205869674683,
917
+ "learning_rate": 4.908528521534139e-05,
918
+ "loss": 1.6832,
919
+ "step": 4030
920
+ },
921
+ {
922
+ "epoch": 0.17132852381555078,
923
+ "grad_norm": 1.1810024976730347,
924
+ "learning_rate": 4.906263980464644e-05,
925
+ "loss": 1.6674,
926
+ "step": 4061
927
+ },
928
+ {
929
+ "epoch": 0.17263637514238703,
930
+ "grad_norm": 1.2133933305740356,
931
+ "learning_rate": 4.903972285033178e-05,
932
+ "loss": 1.6887,
933
+ "step": 4092
934
+ },
935
+ {
936
+ "epoch": 0.1739442264692233,
937
+ "grad_norm": 1.1253775358200073,
938
+ "learning_rate": 4.901653461101213e-05,
939
+ "loss": 1.6884,
940
+ "step": 4123
941
+ },
942
+ {
943
+ "epoch": 0.17525207779605956,
944
+ "grad_norm": 1.215759038925171,
945
+ "learning_rate": 4.8993075348363626e-05,
946
+ "loss": 1.7013,
947
+ "step": 4154
948
+ },
949
+ {
950
+ "epoch": 0.17655992912289584,
951
+ "grad_norm": 1.1305285692214966,
952
+ "learning_rate": 4.896934532712084e-05,
953
+ "loss": 1.6573,
954
+ "step": 4185
955
+ },
956
+ {
957
+ "epoch": 0.1778677804497321,
958
+ "grad_norm": 1.127212405204773,
959
+ "learning_rate": 4.8945344815073846e-05,
960
+ "loss": 1.6769,
961
+ "step": 4216
962
+ },
963
+ {
964
+ "epoch": 0.17917563177656837,
965
+ "grad_norm": 1.1379367113113403,
966
+ "learning_rate": 4.892107408306516e-05,
967
+ "loss": 1.6583,
968
+ "step": 4247
969
+ },
970
+ {
971
+ "epoch": 0.18048348310340465,
972
+ "grad_norm": 1.0926482677459717,
973
+ "learning_rate": 4.889653340498669e-05,
974
+ "loss": 1.6674,
975
+ "step": 4278
976
+ },
977
+ {
978
+ "epoch": 0.1817913344302409,
979
+ "grad_norm": 1.1098601818084717,
980
+ "learning_rate": 4.8871723057776664e-05,
981
+ "loss": 1.6598,
982
+ "step": 4309
983
+ },
984
+ {
985
+ "epoch": 0.18309918575707718,
986
+ "grad_norm": 1.129784345626831,
987
+ "learning_rate": 4.8846643321416476e-05,
988
+ "loss": 1.6786,
989
+ "step": 4340
990
+ },
991
+ {
992
+ "epoch": 0.18440703708391343,
993
+ "grad_norm": 1.1000723838806152,
994
+ "learning_rate": 4.882129447892753e-05,
995
+ "loss": 1.6623,
996
+ "step": 4371
997
+ },
998
+ {
999
+ "epoch": 0.1857148884107497,
1000
+ "grad_norm": 1.2229663133621216,
1001
+ "learning_rate": 4.8795676816368076e-05,
1002
+ "loss": 1.6675,
1003
+ "step": 4402
1004
+ },
1005
+ {
1006
+ "epoch": 0.18702273973758596,
1007
+ "grad_norm": 1.1608648300170898,
1008
+ "learning_rate": 4.876979062282995e-05,
1009
+ "loss": 1.6499,
1010
+ "step": 4433
1011
+ },
1012
+ {
1013
+ "epoch": 0.18833059106442224,
1014
+ "grad_norm": 1.1060220003128052,
1015
+ "learning_rate": 4.8743636190435325e-05,
1016
+ "loss": 1.6453,
1017
+ "step": 4464
1018
+ },
1019
+ {
1020
+ "epoch": 0.1896384423912585,
1021
+ "grad_norm": 1.1028501987457275,
1022
+ "learning_rate": 4.871721381433344e-05,
1023
+ "loss": 1.6393,
1024
+ "step": 4495
1025
+ },
1026
+ {
1027
+ "epoch": 0.19094629371809477,
1028
+ "grad_norm": 1.1736187934875488,
1029
+ "learning_rate": 4.869052379269719e-05,
1030
+ "loss": 1.6563,
1031
+ "step": 4526
1032
+ },
1033
+ {
1034
+ "epoch": 0.19225414504493102,
1035
+ "grad_norm": 1.1284164190292358,
1036
+ "learning_rate": 4.866356642671985e-05,
1037
+ "loss": 1.6535,
1038
+ "step": 4557
1039
+ },
1040
+ {
1041
+ "epoch": 0.1935619963717673,
1042
+ "grad_norm": 1.1155307292938232,
1043
+ "learning_rate": 4.8636342020611634e-05,
1044
+ "loss": 1.6417,
1045
+ "step": 4588
1046
+ },
1047
+ {
1048
+ "epoch": 0.19486984769860355,
1049
+ "grad_norm": 1.1379483938217163,
1050
+ "learning_rate": 4.860885088159626e-05,
1051
+ "loss": 1.6432,
1052
+ "step": 4619
1053
+ },
1054
+ {
1055
+ "epoch": 0.19617769902543983,
1056
+ "grad_norm": 1.1166200637817383,
1057
+ "learning_rate": 4.858109331990751e-05,
1058
+ "loss": 1.6545,
1059
+ "step": 4650
1060
+ },
1061
+ {
1062
+ "epoch": 0.19748555035227608,
1063
+ "grad_norm": 1.081626296043396,
1064
+ "learning_rate": 4.855306964878567e-05,
1065
+ "loss": 1.6402,
1066
+ "step": 4681
1067
+ },
1068
+ {
1069
+ "epoch": 0.19879340167911236,
1070
+ "grad_norm": 1.0875532627105713,
1071
+ "learning_rate": 4.8524780184474084e-05,
1072
+ "loss": 1.6498,
1073
+ "step": 4712
1074
+ },
1075
+ {
1076
+ "epoch": 0.2001012530059486,
1077
+ "grad_norm": 1.0928492546081543,
1078
+ "learning_rate": 4.8496225246215496e-05,
1079
+ "loss": 1.6341,
1080
+ "step": 4743
1081
+ },
1082
+ {
1083
+ "epoch": 0.2014091043327849,
1084
+ "grad_norm": 1.1116279363632202,
1085
+ "learning_rate": 4.8467405156248505e-05,
1086
+ "loss": 1.6389,
1087
+ "step": 4774
1088
+ },
1089
+ {
1090
+ "epoch": 0.20271695565962114,
1091
+ "grad_norm": 1.0984513759613037,
1092
+ "learning_rate": 4.843832023980392e-05,
1093
+ "loss": 1.6277,
1094
+ "step": 4805
1095
+ },
1096
+ {
1097
+ "epoch": 0.20402480698645742,
1098
+ "grad_norm": 1.09713876247406,
1099
+ "learning_rate": 4.840897082510106e-05,
1100
+ "loss": 1.6244,
1101
+ "step": 4836
1102
+ },
1103
+ {
1104
+ "epoch": 0.20533265831329367,
1105
+ "grad_norm": 1.089237928390503,
1106
+ "learning_rate": 4.8379357243344084e-05,
1107
+ "loss": 1.6136,
1108
+ "step": 4867
1109
+ },
1110
+ {
1111
+ "epoch": 0.20664050964012995,
1112
+ "grad_norm": 1.1337491273880005,
1113
+ "learning_rate": 4.8349479828718236e-05,
1114
+ "loss": 1.641,
1115
+ "step": 4898
1116
+ },
1117
+ {
1118
+ "epoch": 0.2079483609669662,
1119
+ "grad_norm": 1.1337246894836426,
1120
+ "learning_rate": 4.8319338918386075e-05,
1121
+ "loss": 1.6163,
1122
+ "step": 4929
1123
+ },
1124
+ {
1125
+ "epoch": 0.20925621229380248,
1126
+ "grad_norm": 1.112273097038269,
1127
+ "learning_rate": 4.828893485248369e-05,
1128
+ "loss": 1.6384,
1129
+ "step": 4960
1130
+ },
1131
+ {
1132
+ "epoch": 0.21056406362063873,
1133
+ "grad_norm": 1.049856424331665,
1134
+ "learning_rate": 4.825826797411682e-05,
1135
+ "loss": 1.6245,
1136
+ "step": 4991
1137
+ },
1138
+ {
1139
+ "epoch": 0.211871914947475,
1140
+ "grad_norm": 2.468637704849243,
1141
+ "learning_rate": 4.822733862935702e-05,
1142
+ "loss": 1.6165,
1143
+ "step": 5022
1144
+ },
1145
+ {
1146
+ "epoch": 0.21317976627431126,
1147
+ "grad_norm": 1.0854454040527344,
1148
+ "learning_rate": 4.819614716723775e-05,
1149
+ "loss": 1.6252,
1150
+ "step": 5053
1151
+ },
1152
+ {
1153
+ "epoch": 0.21448761760114754,
1154
+ "grad_norm": 1.0815082788467407,
1155
+ "learning_rate": 4.8164693939750425e-05,
1156
+ "loss": 1.6096,
1157
+ "step": 5084
1158
+ },
1159
+ {
1160
+ "epoch": 0.2157954689279838,
1161
+ "grad_norm": 1.053945541381836,
1162
+ "learning_rate": 4.813297930184042e-05,
1163
+ "loss": 1.6296,
1164
+ "step": 5115
1165
+ },
1166
+ {
1167
+ "epoch": 0.21710332025482007,
1168
+ "grad_norm": 1.06475031375885,
1169
+ "learning_rate": 4.810100361140314e-05,
1170
+ "loss": 1.629,
1171
+ "step": 5146
1172
+ },
1173
+ {
1174
+ "epoch": 0.21841117158165632,
1175
+ "grad_norm": 1.1072969436645508,
1176
+ "learning_rate": 4.8068767229279885e-05,
1177
+ "loss": 1.6244,
1178
+ "step": 5177
1179
+ },
1180
+ {
1181
+ "epoch": 0.2197190229084926,
1182
+ "grad_norm": 1.0536466836929321,
1183
+ "learning_rate": 4.8036270519253854e-05,
1184
+ "loss": 1.6474,
1185
+ "step": 5208
1186
+ },
1187
+ {
1188
+ "epoch": 0.22102687423532885,
1189
+ "grad_norm": 1.1039215326309204,
1190
+ "learning_rate": 4.8003513848046e-05,
1191
+ "loss": 1.6354,
1192
+ "step": 5239
1193
+ },
1194
+ {
1195
+ "epoch": 0.22233472556216513,
1196
+ "grad_norm": 1.0463244915008545,
1197
+ "learning_rate": 4.79704975853109e-05,
1198
+ "loss": 1.6154,
1199
+ "step": 5270
1200
+ },
1201
+ {
1202
+ "epoch": 0.22364257688900138,
1203
+ "grad_norm": 1.0931519269943237,
1204
+ "learning_rate": 4.793722210363262e-05,
1205
+ "loss": 1.6037,
1206
+ "step": 5301
1207
+ },
1208
+ {
1209
+ "epoch": 0.22495042821583766,
1210
+ "grad_norm": 1.0838814973831177,
1211
+ "learning_rate": 4.7903687778520414e-05,
1212
+ "loss": 1.6352,
1213
+ "step": 5332
1214
+ },
1215
+ {
1216
+ "epoch": 0.2262582795426739,
1217
+ "grad_norm": 1.0400842428207397,
1218
+ "learning_rate": 4.7869894988404593e-05,
1219
+ "loss": 1.5924,
1220
+ "step": 5363
1221
+ },
1222
+ {
1223
+ "epoch": 0.2275661308695102,
1224
+ "grad_norm": 1.0707345008850098,
1225
+ "learning_rate": 4.783584411463221e-05,
1226
+ "loss": 1.6211,
1227
+ "step": 5394
1228
+ },
1229
+ {
1230
+ "epoch": 0.22887398219634644,
1231
+ "grad_norm": 1.0422611236572266,
1232
+ "learning_rate": 4.780153554146274e-05,
1233
+ "loss": 1.5969,
1234
+ "step": 5425
1235
+ },
1236
+ {
1237
+ "epoch": 0.23018183352318272,
1238
+ "grad_norm": 1.0401543378829956,
1239
+ "learning_rate": 4.7766969656063766e-05,
1240
+ "loss": 1.5974,
1241
+ "step": 5456
1242
+ },
1243
+ {
1244
+ "epoch": 0.23148968485001897,
1245
+ "grad_norm": 1.0429288148880005,
1246
+ "learning_rate": 4.773214684850662e-05,
1247
+ "loss": 1.6043,
1248
+ "step": 5487
1249
+ },
1250
+ {
1251
+ "epoch": 0.23279753617685525,
1252
+ "grad_norm": 1.098827600479126,
1253
+ "learning_rate": 4.769706751176193e-05,
1254
+ "loss": 1.5984,
1255
+ "step": 5518
1256
+ },
1257
+ {
1258
+ "epoch": 0.2341053875036915,
1259
+ "grad_norm": 1.0090724229812622,
1260
+ "learning_rate": 4.7661732041695264e-05,
1261
+ "loss": 1.6012,
1262
+ "step": 5549
1263
+ },
1264
+ {
1265
+ "epoch": 0.23541323883052778,
1266
+ "grad_norm": 1.0732818841934204,
1267
+ "learning_rate": 4.762614083706258e-05,
1268
+ "loss": 1.5996,
1269
+ "step": 5580
1270
+ },
1271
+ {
1272
+ "epoch": 0.23672109015736403,
1273
+ "grad_norm": 1.082144856452942,
1274
+ "learning_rate": 4.759029429950581e-05,
1275
+ "loss": 1.6127,
1276
+ "step": 5611
1277
+ },
1278
+ {
1279
+ "epoch": 0.2380289414842003,
1280
+ "grad_norm": 1.0642670392990112,
1281
+ "learning_rate": 4.7554192833548235e-05,
1282
+ "loss": 1.5962,
1283
+ "step": 5642
1284
+ },
1285
+ {
1286
+ "epoch": 0.23933679281103656,
1287
+ "grad_norm": 1.1351134777069092,
1288
+ "learning_rate": 4.751783684659e-05,
1289
+ "loss": 1.5983,
1290
+ "step": 5673
1291
+ },
1292
+ {
1293
+ "epoch": 0.24064464413787284,
1294
+ "grad_norm": 1.09076726436615,
1295
+ "learning_rate": 4.748122674890348e-05,
1296
+ "loss": 1.6162,
1297
+ "step": 5704
1298
+ },
1299
+ {
1300
+ "epoch": 0.24195249546470912,
1301
+ "grad_norm": 1.0234689712524414,
1302
+ "learning_rate": 4.7444362953628654e-05,
1303
+ "loss": 1.596,
1304
+ "step": 5735
1305
+ },
1306
+ {
1307
+ "epoch": 0.24326034679154537,
1308
+ "grad_norm": 1.1209464073181152,
1309
+ "learning_rate": 4.7407245876768424e-05,
1310
+ "loss": 1.602,
1311
+ "step": 5766
1312
+ },
1313
+ {
1314
+ "epoch": 0.24456819811838165,
1315
+ "grad_norm": 1.0940710306167603,
1316
+ "learning_rate": 4.736987593718397e-05,
1317
+ "loss": 1.5992,
1318
+ "step": 5797
1319
+ },
1320
+ {
1321
+ "epoch": 0.2458760494452179,
1322
+ "grad_norm": 1.0460273027420044,
1323
+ "learning_rate": 4.733225355658999e-05,
1324
+ "loss": 1.5881,
1325
+ "step": 5828
1326
+ },
1327
+ {
1328
+ "epoch": 0.24718390077205418,
1329
+ "grad_norm": 1.0842856168746948,
1330
+ "learning_rate": 4.7294379159549926e-05,
1331
+ "loss": 1.594,
1332
+ "step": 5859
1333
+ },
1334
+ {
1335
+ "epoch": 0.24849175209889043,
1336
+ "grad_norm": 1.0244876146316528,
1337
+ "learning_rate": 4.725625317347119e-05,
1338
+ "loss": 1.583,
1339
+ "step": 5890
1340
+ },
1341
+ {
1342
+ "epoch": 0.2497996034257267,
1343
+ "grad_norm": 1.0182656049728394,
1344
+ "learning_rate": 4.7217876028600374e-05,
1345
+ "loss": 1.5839,
1346
+ "step": 5921
1347
+ },
1348
+ {
1349
+ "epoch": 0.25110745475256296,
1350
+ "grad_norm": 1.0451878309249878,
1351
+ "learning_rate": 4.717924815801832e-05,
1352
+ "loss": 1.6051,
1353
+ "step": 5952
1354
+ },
1355
+ {
1356
+ "epoch": 0.2524153060793992,
1357
+ "grad_norm": 1.0340505838394165,
1358
+ "learning_rate": 4.714036999763532e-05,
1359
+ "loss": 1.5969,
1360
+ "step": 5983
1361
+ },
1362
+ {
1363
+ "epoch": 0.2537231574062355,
1364
+ "grad_norm": 1.0457735061645508,
1365
+ "learning_rate": 4.7101241986186116e-05,
1366
+ "loss": 1.5971,
1367
+ "step": 6014
1368
+ },
1369
+ {
1370
+ "epoch": 0.2550310087330718,
1371
+ "grad_norm": 1.034166693687439,
1372
+ "learning_rate": 4.7061864565225e-05,
1373
+ "loss": 1.5982,
1374
+ "step": 6045
1375
+ },
1376
+ {
1377
+ "epoch": 0.256338860059908,
1378
+ "grad_norm": 1.0326176881790161,
1379
+ "learning_rate": 4.702223817912081e-05,
1380
+ "loss": 1.5691,
1381
+ "step": 6076
1382
+ },
1383
+ {
1384
+ "epoch": 0.2576467113867443,
1385
+ "grad_norm": 1.0339311361312866,
1386
+ "learning_rate": 4.698236327505195e-05,
1387
+ "loss": 1.5726,
1388
+ "step": 6107
1389
+ },
1390
+ {
1391
+ "epoch": 0.2589545627135806,
1392
+ "grad_norm": 1.022299885749817,
1393
+ "learning_rate": 4.694224030300127e-05,
1394
+ "loss": 1.5935,
1395
+ "step": 6138
1396
+ },
1397
+ {
1398
+ "epoch": 0.26026241404041683,
1399
+ "grad_norm": 1.009255051612854,
1400
+ "learning_rate": 4.690186971575107e-05,
1401
+ "loss": 1.574,
1402
+ "step": 6169
1403
+ },
1404
+ {
1405
+ "epoch": 0.2615702653672531,
1406
+ "grad_norm": 1.0181437730789185,
1407
+ "learning_rate": 4.6861251968877916e-05,
1408
+ "loss": 1.57,
1409
+ "step": 6200
1410
+ },
1411
+ {
1412
+ "epoch": 0.26287811669408934,
1413
+ "grad_norm": 1.0302594900131226,
1414
+ "learning_rate": 4.68203875207476e-05,
1415
+ "loss": 1.5785,
1416
+ "step": 6231
1417
+ },
1418
+ {
1419
+ "epoch": 0.26418596802092564,
1420
+ "grad_norm": 1.006404161453247,
1421
+ "learning_rate": 4.677927683250983e-05,
1422
+ "loss": 1.5798,
1423
+ "step": 6262
1424
+ },
1425
+ {
1426
+ "epoch": 0.2654938193477619,
1427
+ "grad_norm": 0.993584394454956,
1428
+ "learning_rate": 4.6737920368093156e-05,
1429
+ "loss": 1.5558,
1430
+ "step": 6293
1431
+ },
1432
+ {
1433
+ "epoch": 0.26680167067459815,
1434
+ "grad_norm": 0.9635722637176514,
1435
+ "learning_rate": 4.669631859419965e-05,
1436
+ "loss": 1.5716,
1437
+ "step": 6324
1438
+ },
1439
+ {
1440
+ "epoch": 0.2681095220014344,
1441
+ "grad_norm": 0.9815465211868286,
1442
+ "learning_rate": 4.6654471980299676e-05,
1443
+ "loss": 1.5472,
1444
+ "step": 6355
1445
+ },
1446
+ {
1447
+ "epoch": 0.2694173733282707,
1448
+ "grad_norm": 0.9921912550926208,
1449
+ "learning_rate": 4.661238099862658e-05,
1450
+ "loss": 1.5786,
1451
+ "step": 6386
1452
+ },
1453
+ {
1454
+ "epoch": 0.27072522465510696,
1455
+ "grad_norm": 1.0193076133728027,
1456
+ "learning_rate": 4.657004612417138e-05,
1457
+ "loss": 1.5672,
1458
+ "step": 6417
1459
+ },
1460
+ {
1461
+ "epoch": 0.2720330759819432,
1462
+ "grad_norm": 0.9979498982429504,
1463
+ "learning_rate": 4.6527467834677374e-05,
1464
+ "loss": 1.5549,
1465
+ "step": 6448
1466
+ },
1467
+ {
1468
+ "epoch": 0.27334092730877946,
1469
+ "grad_norm": 1.0342402458190918,
1470
+ "learning_rate": 4.648464661063478e-05,
1471
+ "loss": 1.5808,
1472
+ "step": 6479
1473
+ },
1474
+ {
1475
+ "epoch": 0.27464877863561576,
1476
+ "grad_norm": 0.9821639060974121,
1477
+ "learning_rate": 4.6441582935275264e-05,
1478
+ "loss": 1.5642,
1479
+ "step": 6510
1480
+ },
1481
+ {
1482
+ "epoch": 0.275956629962452,
1483
+ "grad_norm": 1.002773404121399,
1484
+ "learning_rate": 4.6398277294566586e-05,
1485
+ "loss": 1.5646,
1486
+ "step": 6541
1487
+ },
1488
+ {
1489
+ "epoch": 0.27726448128928827,
1490
+ "grad_norm": 1.0241411924362183,
1491
+ "learning_rate": 4.6354730177207e-05,
1492
+ "loss": 1.5744,
1493
+ "step": 6572
1494
+ },
1495
+ {
1496
+ "epoch": 0.2785723326161245,
1497
+ "grad_norm": 1.0101004838943481,
1498
+ "learning_rate": 4.6310942074619787e-05,
1499
+ "loss": 1.5905,
1500
+ "step": 6603
1501
+ },
1502
+ {
1503
+ "epoch": 0.2798801839429608,
1504
+ "grad_norm": 1.0355374813079834,
1505
+ "learning_rate": 4.626691348094777e-05,
1506
+ "loss": 1.5713,
1507
+ "step": 6634
1508
+ },
1509
+ {
1510
+ "epoch": 0.2811880352697971,
1511
+ "grad_norm": 1.0100233554840088,
1512
+ "learning_rate": 4.622264489304762e-05,
1513
+ "loss": 1.5491,
1514
+ "step": 6665
1515
+ },
1516
+ {
1517
+ "epoch": 0.2824958865966333,
1518
+ "grad_norm": 1.0172356367111206,
1519
+ "learning_rate": 4.617813681048434e-05,
1520
+ "loss": 1.562,
1521
+ "step": 6696
1522
+ },
1523
+ {
1524
+ "epoch": 0.2838037379234696,
1525
+ "grad_norm": 0.994799017906189,
1526
+ "learning_rate": 4.61333897355256e-05,
1527
+ "loss": 1.5526,
1528
+ "step": 6727
1529
+ },
1530
+ {
1531
+ "epoch": 0.2851115892503059,
1532
+ "grad_norm": 1.1320250034332275,
1533
+ "learning_rate": 4.608840417313604e-05,
1534
+ "loss": 1.5616,
1535
+ "step": 6758
1536
+ },
1537
+ {
1538
+ "epoch": 0.28641944057714214,
1539
+ "grad_norm": 1.013725996017456,
1540
+ "learning_rate": 4.6043180630971646e-05,
1541
+ "loss": 1.5345,
1542
+ "step": 6789
1543
+ },
1544
+ {
1545
+ "epoch": 0.2877272919039784,
1546
+ "grad_norm": 1.045462727546692,
1547
+ "learning_rate": 4.599771961937391e-05,
1548
+ "loss": 1.56,
1549
+ "step": 6820
1550
+ },
1551
+ {
1552
+ "epoch": 0.28903514323081464,
1553
+ "grad_norm": 1.0075098276138306,
1554
+ "learning_rate": 4.5952021651364204e-05,
1555
+ "loss": 1.5825,
1556
+ "step": 6851
1557
+ },
1558
+ {
1559
+ "epoch": 0.29034299455765095,
1560
+ "grad_norm": 0.9952128529548645,
1561
+ "learning_rate": 4.590608724263786e-05,
1562
+ "loss": 1.5581,
1563
+ "step": 6882
1564
+ },
1565
+ {
1566
+ "epoch": 0.2916508458844872,
1567
+ "grad_norm": 0.9492574334144592,
1568
+ "learning_rate": 4.585991691155845e-05,
1569
+ "loss": 1.554,
1570
+ "step": 6913
1571
+ },
1572
+ {
1573
+ "epoch": 0.29295869721132345,
1574
+ "grad_norm": 0.9850384593009949,
1575
+ "learning_rate": 4.581351117915188e-05,
1576
+ "loss": 1.5614,
1577
+ "step": 6944
1578
+ },
1579
+ {
1580
+ "epoch": 0.2942665485381597,
1581
+ "grad_norm": 0.9840113520622253,
1582
+ "learning_rate": 4.5766870569100534e-05,
1583
+ "loss": 1.5631,
1584
+ "step": 6975
1585
+ },
1586
+ {
1587
+ "epoch": 0.295574399864996,
1588
+ "grad_norm": 0.9830542802810669,
1589
+ "learning_rate": 4.571999560773736e-05,
1590
+ "loss": 1.5597,
1591
+ "step": 7006
1592
+ },
1593
+ {
1594
+ "epoch": 0.29688225119183226,
1595
+ "grad_norm": 0.9737412929534912,
1596
+ "learning_rate": 4.5672886824039915e-05,
1597
+ "loss": 1.5412,
1598
+ "step": 7037
1599
+ },
1600
+ {
1601
+ "epoch": 0.2981901025186685,
1602
+ "grad_norm": 1.0272278785705566,
1603
+ "learning_rate": 4.5625544749624435e-05,
1604
+ "loss": 1.5724,
1605
+ "step": 7068
1606
+ },
1607
+ {
1608
+ "epoch": 0.29949795384550476,
1609
+ "grad_norm": 0.973682165145874,
1610
+ "learning_rate": 4.5577969918739794e-05,
1611
+ "loss": 1.5739,
1612
+ "step": 7099
1613
+ },
1614
+ {
1615
+ "epoch": 0.30080580517234107,
1616
+ "grad_norm": 0.9709253907203674,
1617
+ "learning_rate": 4.5530162868261486e-05,
1618
+ "loss": 1.5666,
1619
+ "step": 7130
1620
+ },
1621
+ {
1622
+ "epoch": 0.3021136564991773,
1623
+ "grad_norm": 0.9426018595695496,
1624
+ "learning_rate": 4.548212413768558e-05,
1625
+ "loss": 1.5542,
1626
+ "step": 7161
1627
+ },
1628
+ {
1629
+ "epoch": 0.30342150782601357,
1630
+ "grad_norm": 1.026181697845459,
1631
+ "learning_rate": 4.543385426912261e-05,
1632
+ "loss": 1.5235,
1633
+ "step": 7192
1634
+ },
1635
+ {
1636
+ "epoch": 0.3047293591528499,
1637
+ "grad_norm": 0.9783868193626404,
1638
+ "learning_rate": 4.53853538072915e-05,
1639
+ "loss": 1.5591,
1640
+ "step": 7223
1641
+ },
1642
+ {
1643
+ "epoch": 0.30603721047968613,
1644
+ "grad_norm": 0.9816028475761414,
1645
+ "learning_rate": 4.533662329951336e-05,
1646
+ "loss": 1.5484,
1647
+ "step": 7254
1648
+ },
1649
+ {
1650
+ "epoch": 0.3073450618065224,
1651
+ "grad_norm": 0.9516949653625488,
1652
+ "learning_rate": 4.528766329570536e-05,
1653
+ "loss": 1.5251,
1654
+ "step": 7285
1655
+ },
1656
+ {
1657
+ "epoch": 0.30865291313335863,
1658
+ "grad_norm": 0.9601557850837708,
1659
+ "learning_rate": 4.523847434837447e-05,
1660
+ "loss": 1.5668,
1661
+ "step": 7316
1662
+ },
1663
+ {
1664
+ "epoch": 0.30996076446019494,
1665
+ "grad_norm": 0.9607630372047424,
1666
+ "learning_rate": 4.518905701261128e-05,
1667
+ "loss": 1.5576,
1668
+ "step": 7347
1669
+ },
1670
+ {
1671
+ "epoch": 0.3112686157870312,
1672
+ "grad_norm": 0.9606896638870239,
1673
+ "learning_rate": 4.5139411846083715e-05,
1674
+ "loss": 1.5441,
1675
+ "step": 7378
1676
+ },
1677
+ {
1678
+ "epoch": 0.31257646711386744,
1679
+ "grad_norm": 1.0111651420593262,
1680
+ "learning_rate": 4.508953940903073e-05,
1681
+ "loss": 1.5586,
1682
+ "step": 7409
1683
+ },
1684
+ {
1685
+ "epoch": 0.3138843184407037,
1686
+ "grad_norm": 0.9388339519500732,
1687
+ "learning_rate": 4.5039440264255994e-05,
1688
+ "loss": 1.5472,
1689
+ "step": 7440
1690
+ },
1691
+ {
1692
+ "epoch": 0.31519216976754,
1693
+ "grad_norm": 0.9507540464401245,
1694
+ "learning_rate": 4.498911497712155e-05,
1695
+ "loss": 1.5579,
1696
+ "step": 7471
1697
+ },
1698
+ {
1699
+ "epoch": 0.31650002109437625,
1700
+ "grad_norm": 0.9572455286979675,
1701
+ "learning_rate": 4.493856411554142e-05,
1702
+ "loss": 1.5433,
1703
+ "step": 7502
1704
+ },
1705
+ {
1706
+ "epoch": 0.3178078724212125,
1707
+ "grad_norm": 0.9485601782798767,
1708
+ "learning_rate": 4.4887788249975206e-05,
1709
+ "loss": 1.5513,
1710
+ "step": 7533
1711
+ },
1712
+ {
1713
+ "epoch": 0.31911572374804875,
1714
+ "grad_norm": 0.9995166063308716,
1715
+ "learning_rate": 4.4836787953421656e-05,
1716
+ "loss": 1.5289,
1717
+ "step": 7564
1718
+ },
1719
+ {
1720
+ "epoch": 0.32042357507488506,
1721
+ "grad_norm": 1.1004894971847534,
1722
+ "learning_rate": 4.478556380141218e-05,
1723
+ "loss": 1.5306,
1724
+ "step": 7595
1725
+ },
1726
+ {
1727
+ "epoch": 0.3217314264017213,
1728
+ "grad_norm": 0.9642030000686646,
1729
+ "learning_rate": 4.4734116372004375e-05,
1730
+ "loss": 1.5497,
1731
+ "step": 7626
1732
+ },
1733
+ {
1734
+ "epoch": 0.32303927772855756,
1735
+ "grad_norm": 0.9486343860626221,
1736
+ "learning_rate": 4.4682446245775477e-05,
1737
+ "loss": 1.5458,
1738
+ "step": 7657
1739
+ },
1740
+ {
1741
+ "epoch": 0.3243471290553938,
1742
+ "grad_norm": 0.942319929599762,
1743
+ "learning_rate": 4.463055400581586e-05,
1744
+ "loss": 1.5306,
1745
+ "step": 7688
1746
+ },
1747
+ {
1748
+ "epoch": 0.3256549803822301,
1749
+ "grad_norm": 0.9433887004852295,
1750
+ "learning_rate": 4.4578440237722374e-05,
1751
+ "loss": 1.5394,
1752
+ "step": 7719
1753
+ },
1754
+ {
1755
+ "epoch": 0.32696283170906637,
1756
+ "grad_norm": 0.9954056739807129,
1757
+ "learning_rate": 4.452610552959183e-05,
1758
+ "loss": 1.551,
1759
+ "step": 7750
1760
+ },
1761
+ {
1762
+ "epoch": 0.3282706830359026,
1763
+ "grad_norm": 0.9406622052192688,
1764
+ "learning_rate": 4.447355047201428e-05,
1765
+ "loss": 1.5481,
1766
+ "step": 7781
1767
+ },
1768
+ {
1769
+ "epoch": 0.3295785343627389,
1770
+ "grad_norm": 0.9743403792381287,
1771
+ "learning_rate": 4.4420775658066414e-05,
1772
+ "loss": 1.533,
1773
+ "step": 7812
1774
+ },
1775
+ {
1776
+ "epoch": 0.3308863856895752,
1777
+ "grad_norm": 0.9561812877655029,
1778
+ "learning_rate": 4.436778168330484e-05,
1779
+ "loss": 1.5615,
1780
+ "step": 7843
1781
+ },
1782
+ {
1783
+ "epoch": 0.33219423701641143,
1784
+ "grad_norm": 0.9623595476150513,
1785
+ "learning_rate": 4.4314569145759353e-05,
1786
+ "loss": 1.5463,
1787
+ "step": 7874
1788
+ },
1789
+ {
1790
+ "epoch": 0.3335020883432477,
1791
+ "grad_norm": 0.9475456476211548,
1792
+ "learning_rate": 4.42611386459262e-05,
1793
+ "loss": 1.558,
1794
+ "step": 7905
1795
+ },
1796
+ {
1797
+ "epoch": 0.33480993967008393,
1798
+ "grad_norm": 0.9283867478370667,
1799
+ "learning_rate": 4.420749078676133e-05,
1800
+ "loss": 1.5237,
1801
+ "step": 7936
1802
+ },
1803
+ {
1804
+ "epoch": 0.33611779099692024,
1805
+ "grad_norm": 0.9494192004203796,
1806
+ "learning_rate": 4.4153626173673516e-05,
1807
+ "loss": 1.5315,
1808
+ "step": 7967
1809
+ },
1810
+ {
1811
+ "epoch": 0.3374256423237565,
1812
+ "grad_norm": 0.9378790855407715,
1813
+ "learning_rate": 4.409954541451762e-05,
1814
+ "loss": 1.5378,
1815
+ "step": 7998
1816
+ },
1817
+ {
1818
+ "epoch": 0.33873349365059274,
1819
+ "grad_norm": 0.9318397045135498,
1820
+ "learning_rate": 4.404524911958764e-05,
1821
+ "loss": 1.5199,
1822
+ "step": 8029
1823
+ },
1824
+ {
1825
+ "epoch": 0.340041344977429,
1826
+ "grad_norm": 0.9440187215805054,
1827
+ "learning_rate": 4.399073790160989e-05,
1828
+ "loss": 1.5313,
1829
+ "step": 8060
1830
+ },
1831
+ {
1832
+ "epoch": 0.3413491963042653,
1833
+ "grad_norm": 0.9643428921699524,
1834
+ "learning_rate": 4.393601237573607e-05,
1835
+ "loss": 1.5267,
1836
+ "step": 8091
1837
+ },
1838
+ {
1839
+ "epoch": 0.34265704763110155,
1840
+ "grad_norm": 0.9626632928848267,
1841
+ "learning_rate": 4.388107315953628e-05,
1842
+ "loss": 1.5312,
1843
+ "step": 8122
1844
+ },
1845
+ {
1846
+ "epoch": 0.3439648989579378,
1847
+ "grad_norm": 0.9867373704910278,
1848
+ "learning_rate": 4.382592087299212e-05,
1849
+ "loss": 1.5162,
1850
+ "step": 8153
1851
+ },
1852
+ {
1853
+ "epoch": 0.34527275028477405,
1854
+ "grad_norm": 0.9584757685661316,
1855
+ "learning_rate": 4.377055613848964e-05,
1856
+ "loss": 1.5201,
1857
+ "step": 8184
1858
+ },
1859
+ {
1860
+ "epoch": 0.34658060161161036,
1861
+ "grad_norm": 0.9587807655334473,
1862
+ "learning_rate": 4.3714979580812355e-05,
1863
+ "loss": 1.55,
1864
+ "step": 8215
1865
+ },
1866
+ {
1867
+ "epoch": 0.3478884529384466,
1868
+ "grad_norm": 0.948785662651062,
1869
+ "learning_rate": 4.365919182713416e-05,
1870
+ "loss": 1.5392,
1871
+ "step": 8246
1872
+ },
1873
+ {
1874
+ "epoch": 0.34919630426528286,
1875
+ "grad_norm": 0.9717795252799988,
1876
+ "learning_rate": 4.360319350701226e-05,
1877
+ "loss": 1.5112,
1878
+ "step": 8277
1879
+ },
1880
+ {
1881
+ "epoch": 0.3505041555921191,
1882
+ "grad_norm": 0.9338726997375488,
1883
+ "learning_rate": 4.3546985252380115e-05,
1884
+ "loss": 1.5371,
1885
+ "step": 8308
1886
+ },
1887
+ {
1888
+ "epoch": 0.3518120069189554,
1889
+ "grad_norm": 0.9878547191619873,
1890
+ "learning_rate": 4.349056769754021e-05,
1891
+ "loss": 1.5349,
1892
+ "step": 8339
1893
+ },
1894
+ {
1895
+ "epoch": 0.3531198582457917,
1896
+ "grad_norm": 1.0211338996887207,
1897
+ "learning_rate": 4.3433941479156994e-05,
1898
+ "loss": 1.5234,
1899
+ "step": 8370
1900
+ },
1901
+ {
1902
+ "epoch": 0.3544277095726279,
1903
+ "grad_norm": 0.944474458694458,
1904
+ "learning_rate": 4.3377107236249647e-05,
1905
+ "loss": 1.5306,
1906
+ "step": 8401
1907
+ },
1908
+ {
1909
+ "epoch": 0.3557355608994642,
1910
+ "grad_norm": 0.9218102097511292,
1911
+ "learning_rate": 4.332006561018488e-05,
1912
+ "loss": 1.5113,
1913
+ "step": 8432
1914
+ },
1915
+ {
1916
+ "epoch": 0.3570434122263005,
1917
+ "grad_norm": 0.9429653286933899,
1918
+ "learning_rate": 4.3262817244669683e-05,
1919
+ "loss": 1.5095,
1920
+ "step": 8463
1921
+ },
1922
+ {
1923
+ "epoch": 0.35835126355313673,
1924
+ "grad_norm": 0.8979545831680298,
1925
+ "learning_rate": 4.3205362785744083e-05,
1926
+ "loss": 1.522,
1927
+ "step": 8494
1928
+ },
1929
+ {
1930
+ "epoch": 0.359659114879973,
1931
+ "grad_norm": 0.9040619134902954,
1932
+ "learning_rate": 4.314770288177384e-05,
1933
+ "loss": 1.5197,
1934
+ "step": 8525
1935
+ },
1936
+ {
1937
+ "epoch": 0.3609669662068093,
1938
+ "grad_norm": 0.9038030505180359,
1939
+ "learning_rate": 4.308983818344313e-05,
1940
+ "loss": 1.5218,
1941
+ "step": 8556
1942
+ },
1943
+ {
1944
+ "epoch": 0.36227481753364554,
1945
+ "grad_norm": 0.9493038654327393,
1946
+ "learning_rate": 4.3031769343747206e-05,
1947
+ "loss": 1.5306,
1948
+ "step": 8587
1949
+ },
1950
+ {
1951
+ "epoch": 0.3635826688604818,
1952
+ "grad_norm": 0.9084991812705994,
1953
+ "learning_rate": 4.297349701798505e-05,
1954
+ "loss": 1.5146,
1955
+ "step": 8618
1956
+ },
1957
+ {
1958
+ "epoch": 0.36489052018731805,
1959
+ "grad_norm": 0.9597145915031433,
1960
+ "learning_rate": 4.2915021863751916e-05,
1961
+ "loss": 1.5202,
1962
+ "step": 8649
1963
+ },
1964
+ {
1965
+ "epoch": 0.36619837151415435,
1966
+ "grad_norm": 0.9139339923858643,
1967
+ "learning_rate": 4.285634454093198e-05,
1968
+ "loss": 1.5082,
1969
+ "step": 8680
1970
+ },
1971
+ {
1972
+ "epoch": 0.3675062228409906,
1973
+ "grad_norm": 0.955664336681366,
1974
+ "learning_rate": 4.279746571169086e-05,
1975
+ "loss": 1.5073,
1976
+ "step": 8711
1977
+ },
1978
+ {
1979
+ "epoch": 0.36881407416782686,
1980
+ "grad_norm": 0.975068986415863,
1981
+ "learning_rate": 4.2738386040468136e-05,
1982
+ "loss": 1.5086,
1983
+ "step": 8742
1984
+ },
1985
+ {
1986
+ "epoch": 0.3701219254946631,
1987
+ "grad_norm": 0.9280393719673157,
1988
+ "learning_rate": 4.2679106193969866e-05,
1989
+ "loss": 1.5342,
1990
+ "step": 8773
1991
+ },
1992
+ {
1993
+ "epoch": 0.3714297768214994,
1994
+ "grad_norm": 0.9098469614982605,
1995
+ "learning_rate": 4.261962684116106e-05,
1996
+ "loss": 1.5305,
1997
+ "step": 8804
1998
+ },
1999
+ {
2000
+ "epoch": 0.37273762814833566,
2001
+ "grad_norm": 0.9359835386276245,
2002
+ "learning_rate": 4.2559948653258145e-05,
2003
+ "loss": 1.5172,
2004
+ "step": 8835
2005
+ },
2006
+ {
2007
+ "epoch": 0.3740454794751719,
2008
+ "grad_norm": 0.9431541562080383,
2009
+ "learning_rate": 4.250007230372134e-05,
2010
+ "loss": 1.5128,
2011
+ "step": 8866
2012
+ },
2013
+ {
2014
+ "epoch": 0.37535333080200817,
2015
+ "grad_norm": 0.8999470472335815,
2016
+ "learning_rate": 4.2439998468247126e-05,
2017
+ "loss": 1.5025,
2018
+ "step": 8897
2019
+ },
2020
+ {
2021
+ "epoch": 0.3766611821288445,
2022
+ "grad_norm": 0.9414424300193787,
2023
+ "learning_rate": 4.2379727824760566e-05,
2024
+ "loss": 1.5135,
2025
+ "step": 8928
2026
+ },
2027
+ {
2028
+ "epoch": 0.3779690334556807,
2029
+ "grad_norm": 0.9347614049911499,
2030
+ "learning_rate": 4.231926105340768e-05,
2031
+ "loss": 1.5252,
2032
+ "step": 8959
2033
+ },
2034
+ {
2035
+ "epoch": 0.379276884782517,
2036
+ "grad_norm": 0.9166226983070374,
2037
+ "learning_rate": 4.225859883654776e-05,
2038
+ "loss": 1.519,
2039
+ "step": 8990
2040
+ },
2041
+ {
2042
+ "epoch": 0.3805847361093532,
2043
+ "grad_norm": 0.9614241719245911,
2044
+ "learning_rate": 4.219774185874569e-05,
2045
+ "loss": 1.494,
2046
+ "step": 9021
2047
+ },
2048
+ {
2049
+ "epoch": 0.38189258743618953,
2050
+ "grad_norm": 0.9002947211265564,
2051
+ "learning_rate": 4.213669080676418e-05,
2052
+ "loss": 1.5093,
2053
+ "step": 9052
2054
+ },
2055
+ {
2056
+ "epoch": 0.3832004387630258,
2057
+ "grad_norm": 0.8749356269836426,
2058
+ "learning_rate": 4.2075446369556056e-05,
2059
+ "loss": 1.512,
2060
+ "step": 9083
2061
+ },
2062
+ {
2063
+ "epoch": 0.38450829008986204,
2064
+ "grad_norm": 0.954454243183136,
2065
+ "learning_rate": 4.201400923825648e-05,
2066
+ "loss": 1.4987,
2067
+ "step": 9114
2068
+ },
2069
+ {
2070
+ "epoch": 0.3858161414166983,
2071
+ "grad_norm": 0.9184893369674683,
2072
+ "learning_rate": 4.195238010617511e-05,
2073
+ "loss": 1.5195,
2074
+ "step": 9145
2075
+ },
2076
+ {
2077
+ "epoch": 0.3871239927435346,
2078
+ "grad_norm": 0.9145151376724243,
2079
+ "learning_rate": 4.1890559668788344e-05,
2080
+ "loss": 1.5149,
2081
+ "step": 9176
2082
+ },
2083
+ {
2084
+ "epoch": 0.38843184407037085,
2085
+ "grad_norm": 0.9118244051933289,
2086
+ "learning_rate": 4.1828548623731405e-05,
2087
+ "loss": 1.5179,
2088
+ "step": 9207
2089
+ },
2090
+ {
2091
+ "epoch": 0.3897396953972071,
2092
+ "grad_norm": 0.918662428855896,
2093
+ "learning_rate": 4.1766347670790506e-05,
2094
+ "loss": 1.5023,
2095
+ "step": 9238
2096
+ },
2097
+ {
2098
+ "epoch": 0.39104754672404335,
2099
+ "grad_norm": 0.9427615404129028,
2100
+ "learning_rate": 4.170395751189495e-05,
2101
+ "loss": 1.5093,
2102
+ "step": 9269
2103
+ },
2104
+ {
2105
+ "epoch": 0.39235539805087966,
2106
+ "grad_norm": 0.8825695514678955,
2107
+ "learning_rate": 4.164137885110921e-05,
2108
+ "loss": 1.5056,
2109
+ "step": 9300
2110
+ },
2111
+ {
2112
+ "epoch": 0.3936632493777159,
2113
+ "grad_norm": 0.9850104451179504,
2114
+ "learning_rate": 4.157861239462495e-05,
2115
+ "loss": 1.5308,
2116
+ "step": 9331
2117
+ },
2118
+ {
2119
+ "epoch": 0.39497110070455216,
2120
+ "grad_norm": 0.9645696878433228,
2121
+ "learning_rate": 4.1515658850753114e-05,
2122
+ "loss": 1.4933,
2123
+ "step": 9362
2124
+ },
2125
+ {
2126
+ "epoch": 0.3962789520313884,
2127
+ "grad_norm": 0.9052213430404663,
2128
+ "learning_rate": 4.145251892991588e-05,
2129
+ "loss": 1.5072,
2130
+ "step": 9393
2131
+ },
2132
+ {
2133
+ "epoch": 0.3975868033582247,
2134
+ "grad_norm": 0.9212966561317444,
2135
+ "learning_rate": 4.138919334463868e-05,
2136
+ "loss": 1.5041,
2137
+ "step": 9424
2138
+ },
2139
+ {
2140
+ "epoch": 0.39889465468506097,
2141
+ "grad_norm": 0.8963611721992493,
2142
+ "learning_rate": 4.1325682809542124e-05,
2143
+ "loss": 1.5121,
2144
+ "step": 9455
2145
+ },
2146
+ {
2147
+ "epoch": 0.4002025060118972,
2148
+ "grad_norm": 0.9025225639343262,
2149
+ "learning_rate": 4.126198804133398e-05,
2150
+ "loss": 1.5018,
2151
+ "step": 9486
2152
+ },
2153
+ {
2154
+ "epoch": 0.40151035733873347,
2155
+ "grad_norm": 0.9104238748550415,
2156
+ "learning_rate": 4.1198109758801055e-05,
2157
+ "loss": 1.5107,
2158
+ "step": 9517
2159
+ },
2160
+ {
2161
+ "epoch": 0.4028182086655698,
2162
+ "grad_norm": 0.9045152068138123,
2163
+ "learning_rate": 4.113404868280107e-05,
2164
+ "loss": 1.4841,
2165
+ "step": 9548
2166
+ },
2167
+ {
2168
+ "epoch": 0.40412605999240603,
2169
+ "grad_norm": 0.950362503528595,
2170
+ "learning_rate": 4.106980553625457e-05,
2171
+ "loss": 1.5274,
2172
+ "step": 9579
2173
+ },
2174
+ {
2175
+ "epoch": 0.4054339113192423,
2176
+ "grad_norm": 0.8988200426101685,
2177
+ "learning_rate": 4.100538104413674e-05,
2178
+ "loss": 1.5144,
2179
+ "step": 9610
2180
+ },
2181
+ {
2182
+ "epoch": 0.40674176264607853,
2183
+ "grad_norm": 0.9193787574768066,
2184
+ "learning_rate": 4.09407759334692e-05,
2185
+ "loss": 1.5083,
2186
+ "step": 9641
2187
+ },
2188
+ {
2189
+ "epoch": 0.40804961397291484,
2190
+ "grad_norm": 0.885677695274353,
2191
+ "learning_rate": 4.087599093331186e-05,
2192
+ "loss": 1.4969,
2193
+ "step": 9672
2194
+ },
2195
+ {
2196
+ "epoch": 0.4093574652997511,
2197
+ "grad_norm": 0.9060222506523132,
2198
+ "learning_rate": 4.081102677475462e-05,
2199
+ "loss": 1.4821,
2200
+ "step": 9703
2201
+ },
2202
+ {
2203
+ "epoch": 0.41066531662658734,
2204
+ "grad_norm": 0.9060747623443604,
2205
+ "learning_rate": 4.0745884190909194e-05,
2206
+ "loss": 1.4851,
2207
+ "step": 9734
2208
+ },
2209
+ {
2210
+ "epoch": 0.4119731679534236,
2211
+ "grad_norm": 0.8934387564659119,
2212
+ "learning_rate": 4.0680563916900796e-05,
2213
+ "loss": 1.4874,
2214
+ "step": 9765
2215
+ },
2216
+ {
2217
+ "epoch": 0.4132810192802599,
2218
+ "grad_norm": 0.8983092904090881,
2219
+ "learning_rate": 4.0615066689859815e-05,
2220
+ "loss": 1.503,
2221
+ "step": 9796
2222
+ },
2223
+ {
2224
+ "epoch": 0.41458887060709615,
2225
+ "grad_norm": 0.914784848690033,
2226
+ "learning_rate": 4.0549393248913584e-05,
2227
+ "loss": 1.4986,
2228
+ "step": 9827
2229
+ },
2230
+ {
2231
+ "epoch": 0.4158967219339324,
2232
+ "grad_norm": 0.9157377481460571,
2233
+ "learning_rate": 4.048354433517794e-05,
2234
+ "loss": 1.5072,
2235
+ "step": 9858
2236
+ },
2237
+ {
2238
+ "epoch": 0.41720457326076865,
2239
+ "grad_norm": 0.8943291306495667,
2240
+ "learning_rate": 4.0417520691748916e-05,
2241
+ "loss": 1.4853,
2242
+ "step": 9889
2243
+ },
2244
+ {
2245
+ "epoch": 0.41851242458760496,
2246
+ "grad_norm": 0.9054378271102905,
2247
+ "learning_rate": 4.035132306369438e-05,
2248
+ "loss": 1.5004,
2249
+ "step": 9920
2250
+ },
2251
+ {
2252
+ "epoch": 0.4198202759144412,
2253
+ "grad_norm": 0.9269044399261475,
2254
+ "learning_rate": 4.028495219804555e-05,
2255
+ "loss": 1.4741,
2256
+ "step": 9951
2257
+ },
2258
+ {
2259
+ "epoch": 0.42112812724127746,
2260
+ "grad_norm": 0.8953903913497925,
2261
+ "learning_rate": 4.021840884378864e-05,
2262
+ "loss": 1.4843,
2263
+ "step": 9982
2264
+ },
2265
+ {
2266
+ "epoch": 0.42243597856811377,
2267
+ "grad_norm": 0.8900305032730103,
2268
+ "learning_rate": 4.015169375185633e-05,
2269
+ "loss": 1.5267,
2270
+ "step": 10013
2271
+ },
2272
+ {
2273
+ "epoch": 0.42374382989495,
2274
+ "grad_norm": 0.9487763047218323,
2275
+ "learning_rate": 4.0084807675119396e-05,
2276
+ "loss": 1.5108,
2277
+ "step": 10044
2278
+ },
2279
+ {
2280
+ "epoch": 0.42505168122178627,
2281
+ "grad_norm": 0.9137413501739502,
2282
+ "learning_rate": 4.0017751368378106e-05,
2283
+ "loss": 1.4882,
2284
+ "step": 10075
2285
+ },
2286
+ {
2287
+ "epoch": 0.4263595325486225,
2288
+ "grad_norm": 0.9609214067459106,
2289
+ "learning_rate": 3.995052558835377e-05,
2290
+ "loss": 1.4845,
2291
+ "step": 10106
2292
+ },
2293
+ {
2294
+ "epoch": 0.42766738387545883,
2295
+ "grad_norm": 0.8875072002410889,
2296
+ "learning_rate": 3.988313109368017e-05,
2297
+ "loss": 1.5042,
2298
+ "step": 10137
2299
+ },
2300
+ {
2301
+ "epoch": 0.4289752352022951,
2302
+ "grad_norm": 0.8940466642379761,
2303
+ "learning_rate": 3.981556864489504e-05,
2304
+ "loss": 1.4848,
2305
+ "step": 10168
2306
+ },
2307
+ {
2308
+ "epoch": 0.43028308652913133,
2309
+ "grad_norm": 0.9151347279548645,
2310
+ "learning_rate": 3.974783900443142e-05,
2311
+ "loss": 1.5091,
2312
+ "step": 10199
2313
+ },
2314
+ {
2315
+ "epoch": 0.4315909378559676,
2316
+ "grad_norm": 0.8956405520439148,
2317
+ "learning_rate": 3.9679942936609095e-05,
2318
+ "loss": 1.4925,
2319
+ "step": 10230
2320
+ },
2321
+ {
2322
+ "epoch": 0.4328987891828039,
2323
+ "grad_norm": 0.8801243305206299,
2324
+ "learning_rate": 3.961188120762596e-05,
2325
+ "loss": 1.4992,
2326
+ "step": 10261
2327
+ },
2328
+ {
2329
+ "epoch": 0.43420664050964014,
2330
+ "grad_norm": 0.9045059084892273,
2331
+ "learning_rate": 3.954365458554938e-05,
2332
+ "loss": 1.4873,
2333
+ "step": 10292
2334
+ },
2335
+ {
2336
+ "epoch": 0.4355144918364764,
2337
+ "grad_norm": 0.8852213025093079,
2338
+ "learning_rate": 3.947526384030751e-05,
2339
+ "loss": 1.4907,
2340
+ "step": 10323
2341
+ },
2342
+ {
2343
+ "epoch": 0.43682234316331264,
2344
+ "grad_norm": 0.9119607210159302,
2345
+ "learning_rate": 3.9406709743680624e-05,
2346
+ "loss": 1.4879,
2347
+ "step": 10354
2348
+ },
2349
+ {
2350
+ "epoch": 0.43813019449014895,
2351
+ "grad_norm": 0.8808435201644897,
2352
+ "learning_rate": 3.9337993069292366e-05,
2353
+ "loss": 1.473,
2354
+ "step": 10385
2355
+ },
2356
+ {
2357
+ "epoch": 0.4394380458169852,
2358
+ "grad_norm": 0.8821302056312561,
2359
+ "learning_rate": 3.926911459260109e-05,
2360
+ "loss": 1.4883,
2361
+ "step": 10416
2362
+ },
2363
+ {
2364
+ "epoch": 0.44074589714382145,
2365
+ "grad_norm": 0.8727222084999084,
2366
+ "learning_rate": 3.920007509089102e-05,
2367
+ "loss": 1.4802,
2368
+ "step": 10447
2369
+ },
2370
+ {
2371
+ "epoch": 0.4420537484706577,
2372
+ "grad_norm": 0.8907620310783386,
2373
+ "learning_rate": 3.913087534326357e-05,
2374
+ "loss": 1.4947,
2375
+ "step": 10478
2376
+ },
2377
+ {
2378
+ "epoch": 0.443361599797494,
2379
+ "grad_norm": 0.9233911633491516,
2380
+ "learning_rate": 3.9061516130628475e-05,
2381
+ "loss": 1.4844,
2382
+ "step": 10509
2383
+ },
2384
+ {
2385
+ "epoch": 0.44466945112433026,
2386
+ "grad_norm": 0.8893357515335083,
2387
+ "learning_rate": 3.8991998235695025e-05,
2388
+ "loss": 1.4696,
2389
+ "step": 10540
2390
+ },
2391
+ {
2392
+ "epoch": 0.4459773024511665,
2393
+ "grad_norm": 0.8262650966644287,
2394
+ "learning_rate": 3.8922322442963224e-05,
2395
+ "loss": 1.4867,
2396
+ "step": 10571
2397
+ },
2398
+ {
2399
+ "epoch": 0.44728515377800276,
2400
+ "grad_norm": 0.8931017518043518,
2401
+ "learning_rate": 3.885248953871491e-05,
2402
+ "loss": 1.4655,
2403
+ "step": 10602
2404
+ },
2405
+ {
2406
+ "epoch": 0.44859300510483907,
2407
+ "grad_norm": 0.8849929571151733,
2408
+ "learning_rate": 3.8782500311004915e-05,
2409
+ "loss": 1.4905,
2410
+ "step": 10633
2411
+ },
2412
+ {
2413
+ "epoch": 0.4499008564316753,
2414
+ "grad_norm": 0.8966437578201294,
2415
+ "learning_rate": 3.871235554965218e-05,
2416
+ "loss": 1.4861,
2417
+ "step": 10664
2418
+ },
2419
+ {
2420
+ "epoch": 0.4512087077585116,
2421
+ "grad_norm": 0.931607723236084,
2422
+ "learning_rate": 3.864205604623078e-05,
2423
+ "loss": 1.4816,
2424
+ "step": 10695
2425
+ },
2426
+ {
2427
+ "epoch": 0.4525165590853478,
2428
+ "grad_norm": 0.9525107741355896,
2429
+ "learning_rate": 3.857160259406107e-05,
2430
+ "loss": 1.4758,
2431
+ "step": 10726
2432
+ },
2433
+ {
2434
+ "epoch": 0.45382441041218413,
2435
+ "grad_norm": 0.9055147767066956,
2436
+ "learning_rate": 3.8500995988200674e-05,
2437
+ "loss": 1.4869,
2438
+ "step": 10757
2439
+ },
2440
+ {
2441
+ "epoch": 0.4551322617390204,
2442
+ "grad_norm": 0.8673259019851685,
2443
+ "learning_rate": 3.843023702543556e-05,
2444
+ "loss": 1.482,
2445
+ "step": 10788
2446
+ },
2447
+ {
2448
+ "epoch": 0.45644011306585663,
2449
+ "grad_norm": 0.845866858959198,
2450
+ "learning_rate": 3.8359326504270984e-05,
2451
+ "loss": 1.4733,
2452
+ "step": 10819
2453
+ },
2454
+ {
2455
+ "epoch": 0.4577479643926929,
2456
+ "grad_norm": 0.8884342908859253,
2457
+ "learning_rate": 3.828826522492255e-05,
2458
+ "loss": 1.4711,
2459
+ "step": 10850
2460
+ },
2461
+ {
2462
+ "epoch": 0.4590558157195292,
2463
+ "grad_norm": 0.8943782448768616,
2464
+ "learning_rate": 3.821705398930713e-05,
2465
+ "loss": 1.4538,
2466
+ "step": 10881
2467
+ },
2468
+ {
2469
+ "epoch": 0.46036366704636544,
2470
+ "grad_norm": 0.8772262930870056,
2471
+ "learning_rate": 3.814569360103385e-05,
2472
+ "loss": 1.4771,
2473
+ "step": 10912
2474
+ },
2475
+ {
2476
+ "epoch": 0.4616715183732017,
2477
+ "grad_norm": 0.9197453856468201,
2478
+ "learning_rate": 3.807418486539499e-05,
2479
+ "loss": 1.4648,
2480
+ "step": 10943
2481
+ },
2482
+ {
2483
+ "epoch": 0.46297936970003795,
2484
+ "grad_norm": 0.8835433125495911,
2485
+ "learning_rate": 3.80025285893569e-05,
2486
+ "loss": 1.4677,
2487
+ "step": 10974
2488
+ },
2489
+ {
2490
+ "epoch": 0.46428722102687425,
2491
+ "grad_norm": 0.955093264579773,
2492
+ "learning_rate": 3.793072558155093e-05,
2493
+ "loss": 1.4821,
2494
+ "step": 11005
2495
+ },
2496
+ {
2497
+ "epoch": 0.4655950723537105,
2498
+ "grad_norm": 0.9170013070106506,
2499
+ "learning_rate": 3.785877665226426e-05,
2500
+ "loss": 1.481,
2501
+ "step": 11036
2502
+ },
2503
+ {
2504
+ "epoch": 0.46690292368054676,
2505
+ "grad_norm": 0.8826711177825928,
2506
+ "learning_rate": 3.778668261343079e-05,
2507
+ "loss": 1.4713,
2508
+ "step": 11067
2509
+ },
2510
+ {
2511
+ "epoch": 0.468210775007383,
2512
+ "grad_norm": 0.9213606715202332,
2513
+ "learning_rate": 3.771444427862192e-05,
2514
+ "loss": 1.4898,
2515
+ "step": 11098
2516
+ },
2517
+ {
2518
+ "epoch": 0.4695186263342193,
2519
+ "grad_norm": 1.0346989631652832,
2520
+ "learning_rate": 3.7642062463037465e-05,
2521
+ "loss": 1.4768,
2522
+ "step": 11129
2523
+ },
2524
+ {
2525
+ "epoch": 0.47082647766105556,
2526
+ "grad_norm": 0.8965749740600586,
2527
+ "learning_rate": 3.7569537983496373e-05,
2528
+ "loss": 1.4714,
2529
+ "step": 11160
2530
+ },
2531
+ {
2532
+ "epoch": 0.4721343289878918,
2533
+ "grad_norm": 0.88069748878479,
2534
+ "learning_rate": 3.749687165842753e-05,
2535
+ "loss": 1.4938,
2536
+ "step": 11191
2537
+ },
2538
+ {
2539
+ "epoch": 0.47344218031472807,
2540
+ "grad_norm": 0.8329574465751648,
2541
+ "learning_rate": 3.7424064307860536e-05,
2542
+ "loss": 1.4581,
2543
+ "step": 11222
2544
+ },
2545
+ {
2546
+ "epoch": 0.4747500316415644,
2547
+ "grad_norm": 0.8511537313461304,
2548
+ "learning_rate": 3.735111675341645e-05,
2549
+ "loss": 1.4688,
2550
+ "step": 11253
2551
+ },
2552
+ {
2553
+ "epoch": 0.4760578829684006,
2554
+ "grad_norm": 0.8722901344299316,
2555
+ "learning_rate": 3.7278029818298524e-05,
2556
+ "loss": 1.5016,
2557
+ "step": 11284
2558
+ },
2559
+ {
2560
+ "epoch": 0.4773657342952369,
2561
+ "grad_norm": 0.8820895552635193,
2562
+ "learning_rate": 3.720480432728287e-05,
2563
+ "loss": 1.4775,
2564
+ "step": 11315
2565
+ },
2566
+ {
2567
+ "epoch": 0.47867358562207313,
2568
+ "grad_norm": 0.8825634717941284,
2569
+ "learning_rate": 3.71314411067092e-05,
2570
+ "loss": 1.4997,
2571
+ "step": 11346
2572
+ },
2573
+ {
2574
+ "epoch": 0.47998143694890943,
2575
+ "grad_norm": 0.8426871299743652,
2576
+ "learning_rate": 3.70579409844715e-05,
2577
+ "loss": 1.4549,
2578
+ "step": 11377
2579
+ },
2580
+ {
2581
+ "epoch": 0.4812892882757457,
2582
+ "grad_norm": 0.8519338965415955,
2583
+ "learning_rate": 3.698430479000865e-05,
2584
+ "loss": 1.4788,
2585
+ "step": 11408
2586
+ },
2587
+ {
2588
+ "epoch": 0.48259713960258194,
2589
+ "grad_norm": 0.8908571600914001,
2590
+ "learning_rate": 3.691053335429509e-05,
2591
+ "loss": 1.4775,
2592
+ "step": 11439
2593
+ },
2594
+ {
2595
+ "epoch": 0.48390499092941824,
2596
+ "grad_norm": 0.8275105357170105,
2597
+ "learning_rate": 3.683662750983147e-05,
2598
+ "loss": 1.4569,
2599
+ "step": 11470
2600
+ },
2601
+ {
2602
+ "epoch": 0.4852128422562545,
2603
+ "grad_norm": 0.8812130689620972,
2604
+ "learning_rate": 3.676258809063518e-05,
2605
+ "loss": 1.4706,
2606
+ "step": 11501
2607
+ },
2608
+ {
2609
+ "epoch": 0.48652069358309075,
2610
+ "grad_norm": 0.9266872406005859,
2611
+ "learning_rate": 3.6688415932231004e-05,
2612
+ "loss": 1.4699,
2613
+ "step": 11532
2614
+ },
2615
+ {
2616
+ "epoch": 0.487828544909927,
2617
+ "grad_norm": 0.9029215574264526,
2618
+ "learning_rate": 3.661411187164166e-05,
2619
+ "loss": 1.4807,
2620
+ "step": 11563
2621
+ },
2622
+ {
2623
+ "epoch": 0.4891363962367633,
2624
+ "grad_norm": 0.8788023591041565,
2625
+ "learning_rate": 3.65396767473784e-05,
2626
+ "loss": 1.4622,
2627
+ "step": 11594
2628
+ },
2629
+ {
2630
+ "epoch": 0.49044424756359956,
2631
+ "grad_norm": 0.8894121050834656,
2632
+ "learning_rate": 3.6465111399431465e-05,
2633
+ "loss": 1.4748,
2634
+ "step": 11625
2635
+ },
2636
+ {
2637
+ "epoch": 0.4917520988904358,
2638
+ "grad_norm": 0.9032202363014221,
2639
+ "learning_rate": 3.6390416669260674e-05,
2640
+ "loss": 1.4621,
2641
+ "step": 11656
2642
+ },
2643
+ {
2644
+ "epoch": 0.49305995021727206,
2645
+ "grad_norm": 0.9159075021743774,
2646
+ "learning_rate": 3.63155933997859e-05,
2647
+ "loss": 1.4837,
2648
+ "step": 11687
2649
+ },
2650
+ {
2651
+ "epoch": 0.49436780154410837,
2652
+ "grad_norm": 0.850325345993042,
2653
+ "learning_rate": 3.624064243537758e-05,
2654
+ "loss": 1.4703,
2655
+ "step": 11718
2656
+ },
2657
+ {
2658
+ "epoch": 0.4956756528709446,
2659
+ "grad_norm": 0.9051500558853149,
2660
+ "learning_rate": 3.616556462184716e-05,
2661
+ "loss": 1.4905,
2662
+ "step": 11749
2663
+ },
2664
+ {
2665
+ "epoch": 0.49698350419778087,
2666
+ "grad_norm": 0.9070841073989868,
2667
+ "learning_rate": 3.609036080643755e-05,
2668
+ "loss": 1.4626,
2669
+ "step": 11780
2670
+ },
2671
+ {
2672
+ "epoch": 0.4982913555246171,
2673
+ "grad_norm": 0.8970009088516235,
2674
+ "learning_rate": 3.60150318378136e-05,
2675
+ "loss": 1.4704,
2676
+ "step": 11811
2677
+ },
2678
+ {
2679
+ "epoch": 0.4995992068514534,
2680
+ "grad_norm": 0.8439539074897766,
2681
+ "learning_rate": 3.5939578566052465e-05,
2682
+ "loss": 1.4686,
2683
+ "step": 11842
2684
+ },
2685
+ {
2686
+ "epoch": 0.5009070581782896,
2687
+ "grad_norm": 0.8568843603134155,
2688
+ "learning_rate": 3.586400184263408e-05,
2689
+ "loss": 1.451,
2690
+ "step": 11873
2691
+ },
2692
+ {
2693
+ "epoch": 0.5022149095051259,
2694
+ "grad_norm": 0.8979809284210205,
2695
+ "learning_rate": 3.578830252043148e-05,
2696
+ "loss": 1.4808,
2697
+ "step": 11904
2698
+ },
2699
+ {
2700
+ "epoch": 0.5035227608319622,
2701
+ "grad_norm": 0.8958112001419067,
2702
+ "learning_rate": 3.571248145370125e-05,
2703
+ "loss": 1.4836,
2704
+ "step": 11935
2705
+ },
2706
+ {
2707
+ "epoch": 0.5048306121587984,
2708
+ "grad_norm": 0.8810004591941833,
2709
+ "learning_rate": 3.5636539498073794e-05,
2710
+ "loss": 1.4666,
2711
+ "step": 11966
2712
+ },
2713
+ {
2714
+ "epoch": 0.5061384634856347,
2715
+ "grad_norm": 0.855351984500885,
2716
+ "learning_rate": 3.556047751054378e-05,
2717
+ "loss": 1.4653,
2718
+ "step": 11997
2719
+ },
2720
+ {
2721
+ "epoch": 0.507446314812471,
2722
+ "grad_norm": 0.8665292263031006,
2723
+ "learning_rate": 3.548429634946039e-05,
2724
+ "loss": 1.4737,
2725
+ "step": 12028
2726
+ },
2727
+ {
2728
+ "epoch": 0.5087541661393072,
2729
+ "grad_norm": 0.8537725806236267,
2730
+ "learning_rate": 3.540799687451768e-05,
2731
+ "loss": 1.4517,
2732
+ "step": 12059
2733
+ },
2734
+ {
2735
+ "epoch": 0.5100620174661435,
2736
+ "grad_norm": 0.8791072964668274,
2737
+ "learning_rate": 3.533157994674485e-05,
2738
+ "loss": 1.4504,
2739
+ "step": 12090
2740
+ },
2741
+ {
2742
+ "epoch": 0.5113698687929797,
2743
+ "grad_norm": 0.8664337396621704,
2744
+ "learning_rate": 3.5255046428496546e-05,
2745
+ "loss": 1.4733,
2746
+ "step": 12121
2747
+ },
2748
+ {
2749
+ "epoch": 0.512677720119816,
2750
+ "grad_norm": 0.8952924609184265,
2751
+ "learning_rate": 3.517839718344311e-05,
2752
+ "loss": 1.472,
2753
+ "step": 12152
2754
+ },
2755
+ {
2756
+ "epoch": 0.5139855714466524,
2757
+ "grad_norm": 0.8985433578491211,
2758
+ "learning_rate": 3.510163307656086e-05,
2759
+ "loss": 1.452,
2760
+ "step": 12183
2761
+ }
2762
+ ],
2763
+ "logging_steps": 31,
2764
+ "max_steps": 30517,
2765
+ "num_input_tokens_seen": 0,
2766
+ "num_train_epochs": 2,
2767
+ "save_steps": 3052,
2768
+ "stateful_callbacks": {
2769
+ "TrainerControl": {
2770
+ "args": {
2771
+ "should_epoch_stop": false,
2772
+ "should_evaluate": false,
2773
+ "should_log": false,
2774
+ "should_save": true,
2775
+ "should_training_stop": false
2776
+ },
2777
+ "attributes": {}
2778
+ }
2779
+ },
2780
+ "total_flos": 8.526741678122336e+18,
2781
+ "train_batch_size": 16,
2782
+ "trial_name": null,
2783
+ "trial_params": null
2784
+ }
checkpoint-12208/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ecde935cd607ffb947b09c1710b3852e02c5808350a9c8894f95cc7f1e96efb
3
+ size 5304
checkpoint-15260/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Qwen2.5-7B-Instruct-te-madlad-mean/",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 161672
28
+ }
checkpoint-15260/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.44.0.dev0"
14
+ }
checkpoint-15260/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2808712b4e812cf5156e42efee430f2b3aba67ef6b2be9607bcc39a65c53a296
3
+ size 4842817304
checkpoint-15260/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:becf3c41c7359877372d1f9bdba9efe52cb2b8dab7330b346e831a36665b8f0e
3
+ size 4998852224
checkpoint-15260/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad9da13aef49ef9aa84ff7ac6ae375fc2f8c339648214e7663e44e16a6763847
3
+ size 4984124304
checkpoint-15260/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfc2c86e34819a46908bfe3ad42f3986e7efdfc34f67e43f40f690f77c7b0672
3
+ size 4932743992
checkpoint-15260/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:891f86a74d6b1791b98b581ff94cbedb16bfdb78595b9697dc3fd2ecc5974ba2
3
+ size 4998852296
checkpoint-15260/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ffba600bd1afe47e6ae47e453aaf27393db833e71fd8814ee2f40cfa0c693a0
3
+ size 3662865184
checkpoint-15260/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23c1c9ae15843fd497b21689e274014619d80449bd73e17194946dbfd7646399
3
+ size 2317729920
checkpoint-15260/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30737946624
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-15260/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aad5ee398c5570fd5aeb6728dd7bc87818886dde584c4a79b35e68de711d6c98
3
+ size 16728842070
checkpoint-15260/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-15260/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ce335347efaebf038b8915bc0a8d2d587a4a1aa08ad0e015b4bc7cc4fba634e
3
+ size 1064
checkpoint-15260/trainer_state.json ADDED
@@ -0,0 +1,3477 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.6438003628232714,
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": 0.0013078513268362654,
13
+ "grad_norm": 31.18772315979004,
14
+ "learning_rate": 1.0157273918741808e-06,
15
+ "loss": 9.3832,
16
+ "step": 31
17
+ },
18
+ {
19
+ "epoch": 0.0026157026536725307,
20
+ "grad_norm": 24.045747756958008,
21
+ "learning_rate": 2.0314547837483616e-06,
22
+ "loss": 7.9011,
23
+ "step": 62
24
+ },
25
+ {
26
+ "epoch": 0.003923553980508796,
27
+ "grad_norm": 16.459999084472656,
28
+ "learning_rate": 3.0471821756225426e-06,
29
+ "loss": 6.3655,
30
+ "step": 93
31
+ },
32
+ {
33
+ "epoch": 0.0052314053073450615,
34
+ "grad_norm": 5.892439365386963,
35
+ "learning_rate": 4.062909567496723e-06,
36
+ "loss": 5.1577,
37
+ "step": 124
38
+ },
39
+ {
40
+ "epoch": 0.0065392566341813275,
41
+ "grad_norm": 7.445889949798584,
42
+ "learning_rate": 5.078636959370905e-06,
43
+ "loss": 4.4767,
44
+ "step": 155
45
+ },
46
+ {
47
+ "epoch": 0.007847107961017593,
48
+ "grad_norm": 8.36017894744873,
49
+ "learning_rate": 6.094364351245085e-06,
50
+ "loss": 4.0756,
51
+ "step": 186
52
+ },
53
+ {
54
+ "epoch": 0.009154959287853858,
55
+ "grad_norm": 13.23757266998291,
56
+ "learning_rate": 7.110091743119267e-06,
57
+ "loss": 3.7893,
58
+ "step": 217
59
+ },
60
+ {
61
+ "epoch": 0.010462810614690123,
62
+ "grad_norm": 10.12263011932373,
63
+ "learning_rate": 8.125819134993446e-06,
64
+ "loss": 3.6154,
65
+ "step": 248
66
+ },
67
+ {
68
+ "epoch": 0.01177066194152639,
69
+ "grad_norm": 6.559150218963623,
70
+ "learning_rate": 9.141546526867629e-06,
71
+ "loss": 3.4391,
72
+ "step": 279
73
+ },
74
+ {
75
+ "epoch": 0.013078513268362655,
76
+ "grad_norm": 6.898993015289307,
77
+ "learning_rate": 1.015727391874181e-05,
78
+ "loss": 3.3229,
79
+ "step": 310
80
+ },
81
+ {
82
+ "epoch": 0.01438636459519892,
83
+ "grad_norm": 8.434200286865234,
84
+ "learning_rate": 1.117300131061599e-05,
85
+ "loss": 3.225,
86
+ "step": 341
87
+ },
88
+ {
89
+ "epoch": 0.015694215922035185,
90
+ "grad_norm": 7.735746383666992,
91
+ "learning_rate": 1.218872870249017e-05,
92
+ "loss": 3.1381,
93
+ "step": 372
94
+ },
95
+ {
96
+ "epoch": 0.01700206724887145,
97
+ "grad_norm": 7.964824676513672,
98
+ "learning_rate": 1.3204456094364351e-05,
99
+ "loss": 3.06,
100
+ "step": 403
101
+ },
102
+ {
103
+ "epoch": 0.018309918575707716,
104
+ "grad_norm": 6.081613063812256,
105
+ "learning_rate": 1.4220183486238533e-05,
106
+ "loss": 3.0052,
107
+ "step": 434
108
+ },
109
+ {
110
+ "epoch": 0.01961776990254398,
111
+ "grad_norm": 6.740341663360596,
112
+ "learning_rate": 1.5235910878112714e-05,
113
+ "loss": 2.9035,
114
+ "step": 465
115
+ },
116
+ {
117
+ "epoch": 0.020925621229380246,
118
+ "grad_norm": 4.908828258514404,
119
+ "learning_rate": 1.6251638269986893e-05,
120
+ "loss": 2.8602,
121
+ "step": 496
122
+ },
123
+ {
124
+ "epoch": 0.02223347255621651,
125
+ "grad_norm": 5.6150360107421875,
126
+ "learning_rate": 1.7267365661861077e-05,
127
+ "loss": 2.8223,
128
+ "step": 527
129
+ },
130
+ {
131
+ "epoch": 0.02354132388305278,
132
+ "grad_norm": 3.5981647968292236,
133
+ "learning_rate": 1.8283093053735257e-05,
134
+ "loss": 2.7488,
135
+ "step": 558
136
+ },
137
+ {
138
+ "epoch": 0.024849175209889045,
139
+ "grad_norm": 4.921584606170654,
140
+ "learning_rate": 1.9298820445609438e-05,
141
+ "loss": 2.741,
142
+ "step": 589
143
+ },
144
+ {
145
+ "epoch": 0.02615702653672531,
146
+ "grad_norm": 3.8303065299987793,
147
+ "learning_rate": 2.031454783748362e-05,
148
+ "loss": 2.6923,
149
+ "step": 620
150
+ },
151
+ {
152
+ "epoch": 0.027464877863561575,
153
+ "grad_norm": 3.3674638271331787,
154
+ "learning_rate": 2.13302752293578e-05,
155
+ "loss": 2.6402,
156
+ "step": 651
157
+ },
158
+ {
159
+ "epoch": 0.02877272919039784,
160
+ "grad_norm": 4.096519947052002,
161
+ "learning_rate": 2.234600262123198e-05,
162
+ "loss": 2.6372,
163
+ "step": 682
164
+ },
165
+ {
166
+ "epoch": 0.030080580517234105,
167
+ "grad_norm": 3.10866641998291,
168
+ "learning_rate": 2.336173001310616e-05,
169
+ "loss": 2.5979,
170
+ "step": 713
171
+ },
172
+ {
173
+ "epoch": 0.03138843184407037,
174
+ "grad_norm": 3.3147943019866943,
175
+ "learning_rate": 2.437745740498034e-05,
176
+ "loss": 2.549,
177
+ "step": 744
178
+ },
179
+ {
180
+ "epoch": 0.032696283170906636,
181
+ "grad_norm": 3.045280933380127,
182
+ "learning_rate": 2.5393184796854525e-05,
183
+ "loss": 2.5487,
184
+ "step": 775
185
+ },
186
+ {
187
+ "epoch": 0.0340041344977429,
188
+ "grad_norm": 3.2536299228668213,
189
+ "learning_rate": 2.6408912188728702e-05,
190
+ "loss": 2.5138,
191
+ "step": 806
192
+ },
193
+ {
194
+ "epoch": 0.035311985824579166,
195
+ "grad_norm": 3.108548641204834,
196
+ "learning_rate": 2.7424639580602886e-05,
197
+ "loss": 2.5006,
198
+ "step": 837
199
+ },
200
+ {
201
+ "epoch": 0.03661983715141543,
202
+ "grad_norm": 3.048689603805542,
203
+ "learning_rate": 2.8440366972477066e-05,
204
+ "loss": 2.4434,
205
+ "step": 868
206
+ },
207
+ {
208
+ "epoch": 0.037927688478251696,
209
+ "grad_norm": 2.8378429412841797,
210
+ "learning_rate": 2.9456094364351244e-05,
211
+ "loss": 2.4403,
212
+ "step": 899
213
+ },
214
+ {
215
+ "epoch": 0.03923553980508796,
216
+ "grad_norm": 2.731419324874878,
217
+ "learning_rate": 3.0471821756225428e-05,
218
+ "loss": 2.4028,
219
+ "step": 930
220
+ },
221
+ {
222
+ "epoch": 0.04054339113192423,
223
+ "grad_norm": 2.4825587272644043,
224
+ "learning_rate": 3.148754914809961e-05,
225
+ "loss": 2.3695,
226
+ "step": 961
227
+ },
228
+ {
229
+ "epoch": 0.04185124245876049,
230
+ "grad_norm": 2.5020129680633545,
231
+ "learning_rate": 3.2503276539973785e-05,
232
+ "loss": 2.3513,
233
+ "step": 992
234
+ },
235
+ {
236
+ "epoch": 0.04315909378559676,
237
+ "grad_norm": 2.374310255050659,
238
+ "learning_rate": 3.351900393184797e-05,
239
+ "loss": 2.3221,
240
+ "step": 1023
241
+ },
242
+ {
243
+ "epoch": 0.04446694511243302,
244
+ "grad_norm": 2.4097862243652344,
245
+ "learning_rate": 3.453473132372215e-05,
246
+ "loss": 2.3366,
247
+ "step": 1054
248
+ },
249
+ {
250
+ "epoch": 0.045774796439269294,
251
+ "grad_norm": 2.573655128479004,
252
+ "learning_rate": 3.555045871559633e-05,
253
+ "loss": 2.2997,
254
+ "step": 1085
255
+ },
256
+ {
257
+ "epoch": 0.04708264776610556,
258
+ "grad_norm": 2.5408434867858887,
259
+ "learning_rate": 3.6566186107470514e-05,
260
+ "loss": 2.2729,
261
+ "step": 1116
262
+ },
263
+ {
264
+ "epoch": 0.048390499092941824,
265
+ "grad_norm": 2.222527265548706,
266
+ "learning_rate": 3.7581913499344695e-05,
267
+ "loss": 2.2716,
268
+ "step": 1147
269
+ },
270
+ {
271
+ "epoch": 0.04969835041977809,
272
+ "grad_norm": 2.342715263366699,
273
+ "learning_rate": 3.8597640891218876e-05,
274
+ "loss": 2.2661,
275
+ "step": 1178
276
+ },
277
+ {
278
+ "epoch": 0.051006201746614355,
279
+ "grad_norm": 2.134208917617798,
280
+ "learning_rate": 3.9613368283093056e-05,
281
+ "loss": 2.2206,
282
+ "step": 1209
283
+ },
284
+ {
285
+ "epoch": 0.05231405307345062,
286
+ "grad_norm": 2.2482688426971436,
287
+ "learning_rate": 4.062909567496724e-05,
288
+ "loss": 2.2207,
289
+ "step": 1240
290
+ },
291
+ {
292
+ "epoch": 0.053621904400286885,
293
+ "grad_norm": 2.2316832542419434,
294
+ "learning_rate": 4.164482306684142e-05,
295
+ "loss": 2.1847,
296
+ "step": 1271
297
+ },
298
+ {
299
+ "epoch": 0.05492975572712315,
300
+ "grad_norm": 2.2321085929870605,
301
+ "learning_rate": 4.26605504587156e-05,
302
+ "loss": 2.2079,
303
+ "step": 1302
304
+ },
305
+ {
306
+ "epoch": 0.056237607053959415,
307
+ "grad_norm": 2.115349054336548,
308
+ "learning_rate": 4.367627785058978e-05,
309
+ "loss": 2.1458,
310
+ "step": 1333
311
+ },
312
+ {
313
+ "epoch": 0.05754545838079568,
314
+ "grad_norm": 2.210914373397827,
315
+ "learning_rate": 4.469200524246396e-05,
316
+ "loss": 2.1435,
317
+ "step": 1364
318
+ },
319
+ {
320
+ "epoch": 0.058853309707631946,
321
+ "grad_norm": 2.1882164478302,
322
+ "learning_rate": 4.570773263433814e-05,
323
+ "loss": 2.1389,
324
+ "step": 1395
325
+ },
326
+ {
327
+ "epoch": 0.06016116103446821,
328
+ "grad_norm": 2.01705265045166,
329
+ "learning_rate": 4.672346002621232e-05,
330
+ "loss": 2.1599,
331
+ "step": 1426
332
+ },
333
+ {
334
+ "epoch": 0.061469012361304476,
335
+ "grad_norm": 1.9447391033172607,
336
+ "learning_rate": 4.77391874180865e-05,
337
+ "loss": 2.1254,
338
+ "step": 1457
339
+ },
340
+ {
341
+ "epoch": 0.06277686368814074,
342
+ "grad_norm": 1.9278348684310913,
343
+ "learning_rate": 4.875491480996068e-05,
344
+ "loss": 2.1109,
345
+ "step": 1488
346
+ },
347
+ {
348
+ "epoch": 0.064084715014977,
349
+ "grad_norm": 167.2142791748047,
350
+ "learning_rate": 4.977064220183487e-05,
351
+ "loss": 2.12,
352
+ "step": 1519
353
+ },
354
+ {
355
+ "epoch": 0.06539256634181327,
356
+ "grad_norm": 15.058513641357422,
357
+ "learning_rate": 4.9999915451558777e-05,
358
+ "loss": 3.2174,
359
+ "step": 1550
360
+ },
361
+ {
362
+ "epoch": 0.06670041766864954,
363
+ "grad_norm": 2.8855061531066895,
364
+ "learning_rate": 4.999955597496219e-05,
365
+ "loss": 2.191,
366
+ "step": 1581
367
+ },
368
+ {
369
+ "epoch": 0.0680082689954858,
370
+ "grad_norm": 1.9484020471572876,
371
+ "learning_rate": 4.9998914381774255e-05,
372
+ "loss": 2.1053,
373
+ "step": 1612
374
+ },
375
+ {
376
+ "epoch": 0.06931612032232207,
377
+ "grad_norm": 5.792853832244873,
378
+ "learning_rate": 4.999799067923527e-05,
379
+ "loss": 2.1058,
380
+ "step": 1643
381
+ },
382
+ {
383
+ "epoch": 0.07062397164915833,
384
+ "grad_norm": 5.8536553382873535,
385
+ "learning_rate": 4.999678487776908e-05,
386
+ "loss": 2.0906,
387
+ "step": 1674
388
+ },
389
+ {
390
+ "epoch": 0.0719318229759946,
391
+ "grad_norm": 2.8606152534484863,
392
+ "learning_rate": 4.9995296990983006e-05,
393
+ "loss": 2.1356,
394
+ "step": 1705
395
+ },
396
+ {
397
+ "epoch": 0.07323967430283086,
398
+ "grad_norm": 2.423034191131592,
399
+ "learning_rate": 4.999352703566763e-05,
400
+ "loss": 2.0468,
401
+ "step": 1736
402
+ },
403
+ {
404
+ "epoch": 0.07454752562966713,
405
+ "grad_norm": 1.7297399044036865,
406
+ "learning_rate": 4.999147503179668e-05,
407
+ "loss": 2.0687,
408
+ "step": 1767
409
+ },
410
+ {
411
+ "epoch": 0.07585537695650339,
412
+ "grad_norm": 4.29679536819458,
413
+ "learning_rate": 4.998914100252672e-05,
414
+ "loss": 2.026,
415
+ "step": 1798
416
+ },
417
+ {
418
+ "epoch": 0.07716322828333966,
419
+ "grad_norm": 1.942807674407959,
420
+ "learning_rate": 4.998652497419696e-05,
421
+ "loss": 2.034,
422
+ "step": 1829
423
+ },
424
+ {
425
+ "epoch": 0.07847107961017592,
426
+ "grad_norm": 1.8823152780532837,
427
+ "learning_rate": 4.9983626976328927e-05,
428
+ "loss": 2.0186,
429
+ "step": 1860
430
+ },
431
+ {
432
+ "epoch": 0.07977893093701219,
433
+ "grad_norm": 2.135873556137085,
434
+ "learning_rate": 4.998044704162613e-05,
435
+ "loss": 2.0047,
436
+ "step": 1891
437
+ },
438
+ {
439
+ "epoch": 0.08108678226384845,
440
+ "grad_norm": 3.113102436065674,
441
+ "learning_rate": 4.9976985205973705e-05,
442
+ "loss": 1.9954,
443
+ "step": 1922
444
+ },
445
+ {
446
+ "epoch": 0.08239463359068472,
447
+ "grad_norm": 2.253596305847168,
448
+ "learning_rate": 4.997324150843799e-05,
449
+ "loss": 1.9744,
450
+ "step": 1953
451
+ },
452
+ {
453
+ "epoch": 0.08370248491752098,
454
+ "grad_norm": 5.765998363494873,
455
+ "learning_rate": 4.99692159912661e-05,
456
+ "loss": 1.9908,
457
+ "step": 1984
458
+ },
459
+ {
460
+ "epoch": 0.08501033624435725,
461
+ "grad_norm": 2.8442440032958984,
462
+ "learning_rate": 4.996490869988546e-05,
463
+ "loss": 1.9803,
464
+ "step": 2015
465
+ },
466
+ {
467
+ "epoch": 0.08631818757119351,
468
+ "grad_norm": 1.7528963088989258,
469
+ "learning_rate": 4.996031968290326e-05,
470
+ "loss": 1.9419,
471
+ "step": 2046
472
+ },
473
+ {
474
+ "epoch": 0.08762603889802978,
475
+ "grad_norm": 1.7754414081573486,
476
+ "learning_rate": 4.995544899210594e-05,
477
+ "loss": 1.9485,
478
+ "step": 2077
479
+ },
480
+ {
481
+ "epoch": 0.08893389022486604,
482
+ "grad_norm": 1.6553430557250977,
483
+ "learning_rate": 4.9950296682458583e-05,
484
+ "loss": 1.9469,
485
+ "step": 2108
486
+ },
487
+ {
488
+ "epoch": 0.09024174155170232,
489
+ "grad_norm": 1.7296561002731323,
490
+ "learning_rate": 4.994486281210429e-05,
491
+ "loss": 1.9195,
492
+ "step": 2139
493
+ },
494
+ {
495
+ "epoch": 0.09154959287853859,
496
+ "grad_norm": 1.7001283168792725,
497
+ "learning_rate": 4.9939147442363566e-05,
498
+ "loss": 1.9324,
499
+ "step": 2170
500
+ },
501
+ {
502
+ "epoch": 0.09285744420537485,
503
+ "grad_norm": 7.332984447479248,
504
+ "learning_rate": 4.9933150637733574e-05,
505
+ "loss": 1.9171,
506
+ "step": 2201
507
+ },
508
+ {
509
+ "epoch": 0.09416529553221112,
510
+ "grad_norm": 1.6546969413757324,
511
+ "learning_rate": 4.992687246588743e-05,
512
+ "loss": 1.9152,
513
+ "step": 2232
514
+ },
515
+ {
516
+ "epoch": 0.09547314685904738,
517
+ "grad_norm": 1.843203067779541,
518
+ "learning_rate": 4.992031299767347e-05,
519
+ "loss": 1.9015,
520
+ "step": 2263
521
+ },
522
+ {
523
+ "epoch": 0.09678099818588365,
524
+ "grad_norm": 4.51094388961792,
525
+ "learning_rate": 4.9913472307114386e-05,
526
+ "loss": 1.917,
527
+ "step": 2294
528
+ },
529
+ {
530
+ "epoch": 0.09808884951271991,
531
+ "grad_norm": 1.5267099142074585,
532
+ "learning_rate": 4.9906350471406446e-05,
533
+ "loss": 1.8985,
534
+ "step": 2325
535
+ },
536
+ {
537
+ "epoch": 0.09939670083955618,
538
+ "grad_norm": 2.0826663970947266,
539
+ "learning_rate": 4.989894757091861e-05,
540
+ "loss": 1.8968,
541
+ "step": 2356
542
+ },
543
+ {
544
+ "epoch": 0.10070455216639244,
545
+ "grad_norm": 1.4929964542388916,
546
+ "learning_rate": 4.989126368919158e-05,
547
+ "loss": 1.8711,
548
+ "step": 2387
549
+ },
550
+ {
551
+ "epoch": 0.10201240349322871,
552
+ "grad_norm": 1.478498935699463,
553
+ "learning_rate": 4.988329891293693e-05,
554
+ "loss": 1.8672,
555
+ "step": 2418
556
+ },
557
+ {
558
+ "epoch": 0.10332025482006497,
559
+ "grad_norm": 1.4785969257354736,
560
+ "learning_rate": 4.987505333203608e-05,
561
+ "loss": 1.8435,
562
+ "step": 2449
563
+ },
564
+ {
565
+ "epoch": 0.10462810614690124,
566
+ "grad_norm": 1.524807333946228,
567
+ "learning_rate": 4.9866527039539276e-05,
568
+ "loss": 1.8543,
569
+ "step": 2480
570
+ },
571
+ {
572
+ "epoch": 0.1059359574737375,
573
+ "grad_norm": 1.4232748746871948,
574
+ "learning_rate": 4.9857720131664594e-05,
575
+ "loss": 1.8463,
576
+ "step": 2511
577
+ },
578
+ {
579
+ "epoch": 0.10724380880057377,
580
+ "grad_norm": 1.7178603410720825,
581
+ "learning_rate": 4.9848632707796773e-05,
582
+ "loss": 1.8512,
583
+ "step": 2542
584
+ },
585
+ {
586
+ "epoch": 0.10855166012741004,
587
+ "grad_norm": 1.4624053239822388,
588
+ "learning_rate": 4.9839264870486155e-05,
589
+ "loss": 1.8421,
590
+ "step": 2573
591
+ },
592
+ {
593
+ "epoch": 0.1098595114542463,
594
+ "grad_norm": 2.0191211700439453,
595
+ "learning_rate": 4.9829616725447526e-05,
596
+ "loss": 1.8393,
597
+ "step": 2604
598
+ },
599
+ {
600
+ "epoch": 0.11116736278108257,
601
+ "grad_norm": 1.4346847534179688,
602
+ "learning_rate": 4.981968838155888e-05,
603
+ "loss": 1.8149,
604
+ "step": 2635
605
+ },
606
+ {
607
+ "epoch": 0.11247521410791883,
608
+ "grad_norm": 1.4674941301345825,
609
+ "learning_rate": 4.980947995086024e-05,
610
+ "loss": 1.8215,
611
+ "step": 2666
612
+ },
613
+ {
614
+ "epoch": 0.1137830654347551,
615
+ "grad_norm": 1.4122453927993774,
616
+ "learning_rate": 4.979899154855234e-05,
617
+ "loss": 1.8265,
618
+ "step": 2697
619
+ },
620
+ {
621
+ "epoch": 0.11509091676159136,
622
+ "grad_norm": 1.4748708009719849,
623
+ "learning_rate": 4.9788223292995386e-05,
624
+ "loss": 1.8149,
625
+ "step": 2728
626
+ },
627
+ {
628
+ "epoch": 0.11639876808842763,
629
+ "grad_norm": 1.40476655960083,
630
+ "learning_rate": 4.977717530570768e-05,
631
+ "loss": 1.8316,
632
+ "step": 2759
633
+ },
634
+ {
635
+ "epoch": 0.11770661941526389,
636
+ "grad_norm": 1.4909706115722656,
637
+ "learning_rate": 4.976584771136425e-05,
638
+ "loss": 1.8208,
639
+ "step": 2790
640
+ },
641
+ {
642
+ "epoch": 0.11901447074210016,
643
+ "grad_norm": 1.3661363124847412,
644
+ "learning_rate": 4.975424063779547e-05,
645
+ "loss": 1.8038,
646
+ "step": 2821
647
+ },
648
+ {
649
+ "epoch": 0.12032232206893642,
650
+ "grad_norm": 1.422453761100769,
651
+ "learning_rate": 4.974235421598557e-05,
652
+ "loss": 1.7926,
653
+ "step": 2852
654
+ },
655
+ {
656
+ "epoch": 0.12163017339577269,
657
+ "grad_norm": 1.3766013383865356,
658
+ "learning_rate": 4.973018858007122e-05,
659
+ "loss": 1.8192,
660
+ "step": 2883
661
+ },
662
+ {
663
+ "epoch": 0.12293802472260895,
664
+ "grad_norm": 1.3904545307159424,
665
+ "learning_rate": 4.9717743867339963e-05,
666
+ "loss": 1.7653,
667
+ "step": 2914
668
+ },
669
+ {
670
+ "epoch": 0.12424587604944522,
671
+ "grad_norm": 1.369018316268921,
672
+ "learning_rate": 4.9705020218228695e-05,
673
+ "loss": 1.7879,
674
+ "step": 2945
675
+ },
676
+ {
677
+ "epoch": 0.12555372737628148,
678
+ "grad_norm": 1.5040982961654663,
679
+ "learning_rate": 4.969201777632205e-05,
680
+ "loss": 1.7777,
681
+ "step": 2976
682
+ },
683
+ {
684
+ "epoch": 0.12686157870311776,
685
+ "grad_norm": 1.3161810636520386,
686
+ "learning_rate": 4.9678736688350846e-05,
687
+ "loss": 1.7654,
688
+ "step": 3007
689
+ },
690
+ {
691
+ "epoch": 0.128169430029954,
692
+ "grad_norm": 1.3379234075546265,
693
+ "learning_rate": 4.966517710419033e-05,
694
+ "loss": 1.7699,
695
+ "step": 3038
696
+ },
697
+ {
698
+ "epoch": 0.1294772813567903,
699
+ "grad_norm": 1.3384974002838135,
700
+ "learning_rate": 4.965133917685858e-05,
701
+ "loss": 1.7915,
702
+ "step": 3069
703
+ },
704
+ {
705
+ "epoch": 0.13078513268362654,
706
+ "grad_norm": 1.2991316318511963,
707
+ "learning_rate": 4.9637223062514714e-05,
708
+ "loss": 1.7636,
709
+ "step": 3100
710
+ },
711
+ {
712
+ "epoch": 0.13209298401046282,
713
+ "grad_norm": 2.500105857849121,
714
+ "learning_rate": 4.962282892045718e-05,
715
+ "loss": 1.7573,
716
+ "step": 3131
717
+ },
718
+ {
719
+ "epoch": 0.13340083533729907,
720
+ "grad_norm": 1.2635610103607178,
721
+ "learning_rate": 4.9608156913121904e-05,
722
+ "loss": 1.7537,
723
+ "step": 3162
724
+ },
725
+ {
726
+ "epoch": 0.13470868666413535,
727
+ "grad_norm": 1.2823940515518188,
728
+ "learning_rate": 4.959320720608049e-05,
729
+ "loss": 1.7709,
730
+ "step": 3193
731
+ },
732
+ {
733
+ "epoch": 0.1360165379909716,
734
+ "grad_norm": 1.2606983184814453,
735
+ "learning_rate": 4.9577979968038354e-05,
736
+ "loss": 1.7611,
737
+ "step": 3224
738
+ },
739
+ {
740
+ "epoch": 0.13732438931780788,
741
+ "grad_norm": 1.305782437324524,
742
+ "learning_rate": 4.956247537083282e-05,
743
+ "loss": 1.7547,
744
+ "step": 3255
745
+ },
746
+ {
747
+ "epoch": 0.13863224064464413,
748
+ "grad_norm": 1.2986756563186646,
749
+ "learning_rate": 4.9546693589431145e-05,
750
+ "loss": 1.7241,
751
+ "step": 3286
752
+ },
753
+ {
754
+ "epoch": 0.1399400919714804,
755
+ "grad_norm": 1.3163083791732788,
756
+ "learning_rate": 4.9530634801928595e-05,
757
+ "loss": 1.7352,
758
+ "step": 3317
759
+ },
760
+ {
761
+ "epoch": 0.14124794329831666,
762
+ "grad_norm": 1.2844524383544922,
763
+ "learning_rate": 4.9514299189546395e-05,
764
+ "loss": 1.7316,
765
+ "step": 3348
766
+ },
767
+ {
768
+ "epoch": 0.14255579462515294,
769
+ "grad_norm": 1.2861442565917969,
770
+ "learning_rate": 4.949768693662973e-05,
771
+ "loss": 1.7233,
772
+ "step": 3379
773
+ },
774
+ {
775
+ "epoch": 0.1438636459519892,
776
+ "grad_norm": 1.2419766187667847,
777
+ "learning_rate": 4.948079823064559e-05,
778
+ "loss": 1.7278,
779
+ "step": 3410
780
+ },
781
+ {
782
+ "epoch": 0.14517149727882547,
783
+ "grad_norm": 1.2518367767333984,
784
+ "learning_rate": 4.946363326218074e-05,
785
+ "loss": 1.7399,
786
+ "step": 3441
787
+ },
788
+ {
789
+ "epoch": 0.14647934860566172,
790
+ "grad_norm": 1.217373251914978,
791
+ "learning_rate": 4.9446192224939525e-05,
792
+ "loss": 1.7386,
793
+ "step": 3472
794
+ },
795
+ {
796
+ "epoch": 0.147787199932498,
797
+ "grad_norm": 1.2229036092758179,
798
+ "learning_rate": 4.942847531574167e-05,
799
+ "loss": 1.7096,
800
+ "step": 3503
801
+ },
802
+ {
803
+ "epoch": 0.14909505125933425,
804
+ "grad_norm": 1.2012135982513428,
805
+ "learning_rate": 4.941048273452008e-05,
806
+ "loss": 1.7195,
807
+ "step": 3534
808
+ },
809
+ {
810
+ "epoch": 0.15040290258617053,
811
+ "grad_norm": 1.2632161378860474,
812
+ "learning_rate": 4.9392214684318605e-05,
813
+ "loss": 1.7377,
814
+ "step": 3565
815
+ },
816
+ {
817
+ "epoch": 0.15171075391300679,
818
+ "grad_norm": 1.2119094133377075,
819
+ "learning_rate": 4.93736713712897e-05,
820
+ "loss": 1.7276,
821
+ "step": 3596
822
+ },
823
+ {
824
+ "epoch": 0.15301860523984306,
825
+ "grad_norm": 1.2516822814941406,
826
+ "learning_rate": 4.9354853004692124e-05,
827
+ "loss": 1.7224,
828
+ "step": 3627
829
+ },
830
+ {
831
+ "epoch": 0.15432645656667932,
832
+ "grad_norm": 1.2437561750411987,
833
+ "learning_rate": 4.93357597968886e-05,
834
+ "loss": 1.703,
835
+ "step": 3658
836
+ },
837
+ {
838
+ "epoch": 0.1556343078935156,
839
+ "grad_norm": 1.4856292009353638,
840
+ "learning_rate": 4.931639196334338e-05,
841
+ "loss": 1.7139,
842
+ "step": 3689
843
+ },
844
+ {
845
+ "epoch": 0.15694215922035185,
846
+ "grad_norm": 1.202919840812683,
847
+ "learning_rate": 4.9296749722619826e-05,
848
+ "loss": 1.7081,
849
+ "step": 3720
850
+ },
851
+ {
852
+ "epoch": 0.15825001054718812,
853
+ "grad_norm": 1.1720086336135864,
854
+ "learning_rate": 4.9276833296377966e-05,
855
+ "loss": 1.7086,
856
+ "step": 3751
857
+ },
858
+ {
859
+ "epoch": 0.15955786187402438,
860
+ "grad_norm": 1.2187249660491943,
861
+ "learning_rate": 4.925664290937196e-05,
862
+ "loss": 1.6871,
863
+ "step": 3782
864
+ },
865
+ {
866
+ "epoch": 0.16086571320086065,
867
+ "grad_norm": 1.1918401718139648,
868
+ "learning_rate": 4.9236178789447576e-05,
869
+ "loss": 1.7058,
870
+ "step": 3813
871
+ },
872
+ {
873
+ "epoch": 0.1621735645276969,
874
+ "grad_norm": 1.1956909894943237,
875
+ "learning_rate": 4.921544116753962e-05,
876
+ "loss": 1.6986,
877
+ "step": 3844
878
+ },
879
+ {
880
+ "epoch": 0.16348141585453319,
881
+ "grad_norm": 1.1646822690963745,
882
+ "learning_rate": 4.919443027766935e-05,
883
+ "loss": 1.6797,
884
+ "step": 3875
885
+ },
886
+ {
887
+ "epoch": 0.16478926718136944,
888
+ "grad_norm": 1.2145137786865234,
889
+ "learning_rate": 4.91731463569418e-05,
890
+ "loss": 1.678,
891
+ "step": 3906
892
+ },
893
+ {
894
+ "epoch": 0.16609711850820572,
895
+ "grad_norm": 1.2347453832626343,
896
+ "learning_rate": 4.915158964554312e-05,
897
+ "loss": 1.672,
898
+ "step": 3937
899
+ },
900
+ {
901
+ "epoch": 0.16740496983504197,
902
+ "grad_norm": 1.1764047145843506,
903
+ "learning_rate": 4.912976038673786e-05,
904
+ "loss": 1.6864,
905
+ "step": 3968
906
+ },
907
+ {
908
+ "epoch": 0.16871282116187825,
909
+ "grad_norm": 1.1730256080627441,
910
+ "learning_rate": 4.9107658826866254e-05,
911
+ "loss": 1.7021,
912
+ "step": 3999
913
+ },
914
+ {
915
+ "epoch": 0.1700206724887145,
916
+ "grad_norm": 1.1880205869674683,
917
+ "learning_rate": 4.908528521534139e-05,
918
+ "loss": 1.6832,
919
+ "step": 4030
920
+ },
921
+ {
922
+ "epoch": 0.17132852381555078,
923
+ "grad_norm": 1.1810024976730347,
924
+ "learning_rate": 4.906263980464644e-05,
925
+ "loss": 1.6674,
926
+ "step": 4061
927
+ },
928
+ {
929
+ "epoch": 0.17263637514238703,
930
+ "grad_norm": 1.2133933305740356,
931
+ "learning_rate": 4.903972285033178e-05,
932
+ "loss": 1.6887,
933
+ "step": 4092
934
+ },
935
+ {
936
+ "epoch": 0.1739442264692233,
937
+ "grad_norm": 1.1253775358200073,
938
+ "learning_rate": 4.901653461101213e-05,
939
+ "loss": 1.6884,
940
+ "step": 4123
941
+ },
942
+ {
943
+ "epoch": 0.17525207779605956,
944
+ "grad_norm": 1.215759038925171,
945
+ "learning_rate": 4.8993075348363626e-05,
946
+ "loss": 1.7013,
947
+ "step": 4154
948
+ },
949
+ {
950
+ "epoch": 0.17655992912289584,
951
+ "grad_norm": 1.1305285692214966,
952
+ "learning_rate": 4.896934532712084e-05,
953
+ "loss": 1.6573,
954
+ "step": 4185
955
+ },
956
+ {
957
+ "epoch": 0.1778677804497321,
958
+ "grad_norm": 1.127212405204773,
959
+ "learning_rate": 4.8945344815073846e-05,
960
+ "loss": 1.6769,
961
+ "step": 4216
962
+ },
963
+ {
964
+ "epoch": 0.17917563177656837,
965
+ "grad_norm": 1.1379367113113403,
966
+ "learning_rate": 4.892107408306516e-05,
967
+ "loss": 1.6583,
968
+ "step": 4247
969
+ },
970
+ {
971
+ "epoch": 0.18048348310340465,
972
+ "grad_norm": 1.0926482677459717,
973
+ "learning_rate": 4.889653340498669e-05,
974
+ "loss": 1.6674,
975
+ "step": 4278
976
+ },
977
+ {
978
+ "epoch": 0.1817913344302409,
979
+ "grad_norm": 1.1098601818084717,
980
+ "learning_rate": 4.8871723057776664e-05,
981
+ "loss": 1.6598,
982
+ "step": 4309
983
+ },
984
+ {
985
+ "epoch": 0.18309918575707718,
986
+ "grad_norm": 1.129784345626831,
987
+ "learning_rate": 4.8846643321416476e-05,
988
+ "loss": 1.6786,
989
+ "step": 4340
990
+ },
991
+ {
992
+ "epoch": 0.18440703708391343,
993
+ "grad_norm": 1.1000723838806152,
994
+ "learning_rate": 4.882129447892753e-05,
995
+ "loss": 1.6623,
996
+ "step": 4371
997
+ },
998
+ {
999
+ "epoch": 0.1857148884107497,
1000
+ "grad_norm": 1.2229663133621216,
1001
+ "learning_rate": 4.8795676816368076e-05,
1002
+ "loss": 1.6675,
1003
+ "step": 4402
1004
+ },
1005
+ {
1006
+ "epoch": 0.18702273973758596,
1007
+ "grad_norm": 1.1608648300170898,
1008
+ "learning_rate": 4.876979062282995e-05,
1009
+ "loss": 1.6499,
1010
+ "step": 4433
1011
+ },
1012
+ {
1013
+ "epoch": 0.18833059106442224,
1014
+ "grad_norm": 1.1060220003128052,
1015
+ "learning_rate": 4.8743636190435325e-05,
1016
+ "loss": 1.6453,
1017
+ "step": 4464
1018
+ },
1019
+ {
1020
+ "epoch": 0.1896384423912585,
1021
+ "grad_norm": 1.1028501987457275,
1022
+ "learning_rate": 4.871721381433344e-05,
1023
+ "loss": 1.6393,
1024
+ "step": 4495
1025
+ },
1026
+ {
1027
+ "epoch": 0.19094629371809477,
1028
+ "grad_norm": 1.1736187934875488,
1029
+ "learning_rate": 4.869052379269719e-05,
1030
+ "loss": 1.6563,
1031
+ "step": 4526
1032
+ },
1033
+ {
1034
+ "epoch": 0.19225414504493102,
1035
+ "grad_norm": 1.1284164190292358,
1036
+ "learning_rate": 4.866356642671985e-05,
1037
+ "loss": 1.6535,
1038
+ "step": 4557
1039
+ },
1040
+ {
1041
+ "epoch": 0.1935619963717673,
1042
+ "grad_norm": 1.1155307292938232,
1043
+ "learning_rate": 4.8636342020611634e-05,
1044
+ "loss": 1.6417,
1045
+ "step": 4588
1046
+ },
1047
+ {
1048
+ "epoch": 0.19486984769860355,
1049
+ "grad_norm": 1.1379483938217163,
1050
+ "learning_rate": 4.860885088159626e-05,
1051
+ "loss": 1.6432,
1052
+ "step": 4619
1053
+ },
1054
+ {
1055
+ "epoch": 0.19617769902543983,
1056
+ "grad_norm": 1.1166200637817383,
1057
+ "learning_rate": 4.858109331990751e-05,
1058
+ "loss": 1.6545,
1059
+ "step": 4650
1060
+ },
1061
+ {
1062
+ "epoch": 0.19748555035227608,
1063
+ "grad_norm": 1.081626296043396,
1064
+ "learning_rate": 4.855306964878567e-05,
1065
+ "loss": 1.6402,
1066
+ "step": 4681
1067
+ },
1068
+ {
1069
+ "epoch": 0.19879340167911236,
1070
+ "grad_norm": 1.0875532627105713,
1071
+ "learning_rate": 4.8524780184474084e-05,
1072
+ "loss": 1.6498,
1073
+ "step": 4712
1074
+ },
1075
+ {
1076
+ "epoch": 0.2001012530059486,
1077
+ "grad_norm": 1.0928492546081543,
1078
+ "learning_rate": 4.8496225246215496e-05,
1079
+ "loss": 1.6341,
1080
+ "step": 4743
1081
+ },
1082
+ {
1083
+ "epoch": 0.2014091043327849,
1084
+ "grad_norm": 1.1116279363632202,
1085
+ "learning_rate": 4.8467405156248505e-05,
1086
+ "loss": 1.6389,
1087
+ "step": 4774
1088
+ },
1089
+ {
1090
+ "epoch": 0.20271695565962114,
1091
+ "grad_norm": 1.0984513759613037,
1092
+ "learning_rate": 4.843832023980392e-05,
1093
+ "loss": 1.6277,
1094
+ "step": 4805
1095
+ },
1096
+ {
1097
+ "epoch": 0.20402480698645742,
1098
+ "grad_norm": 1.09713876247406,
1099
+ "learning_rate": 4.840897082510106e-05,
1100
+ "loss": 1.6244,
1101
+ "step": 4836
1102
+ },
1103
+ {
1104
+ "epoch": 0.20533265831329367,
1105
+ "grad_norm": 1.089237928390503,
1106
+ "learning_rate": 4.8379357243344084e-05,
1107
+ "loss": 1.6136,
1108
+ "step": 4867
1109
+ },
1110
+ {
1111
+ "epoch": 0.20664050964012995,
1112
+ "grad_norm": 1.1337491273880005,
1113
+ "learning_rate": 4.8349479828718236e-05,
1114
+ "loss": 1.641,
1115
+ "step": 4898
1116
+ },
1117
+ {
1118
+ "epoch": 0.2079483609669662,
1119
+ "grad_norm": 1.1337246894836426,
1120
+ "learning_rate": 4.8319338918386075e-05,
1121
+ "loss": 1.6163,
1122
+ "step": 4929
1123
+ },
1124
+ {
1125
+ "epoch": 0.20925621229380248,
1126
+ "grad_norm": 1.112273097038269,
1127
+ "learning_rate": 4.828893485248369e-05,
1128
+ "loss": 1.6384,
1129
+ "step": 4960
1130
+ },
1131
+ {
1132
+ "epoch": 0.21056406362063873,
1133
+ "grad_norm": 1.049856424331665,
1134
+ "learning_rate": 4.825826797411682e-05,
1135
+ "loss": 1.6245,
1136
+ "step": 4991
1137
+ },
1138
+ {
1139
+ "epoch": 0.211871914947475,
1140
+ "grad_norm": 2.468637704849243,
1141
+ "learning_rate": 4.822733862935702e-05,
1142
+ "loss": 1.6165,
1143
+ "step": 5022
1144
+ },
1145
+ {
1146
+ "epoch": 0.21317976627431126,
1147
+ "grad_norm": 1.0854454040527344,
1148
+ "learning_rate": 4.819614716723775e-05,
1149
+ "loss": 1.6252,
1150
+ "step": 5053
1151
+ },
1152
+ {
1153
+ "epoch": 0.21448761760114754,
1154
+ "grad_norm": 1.0815082788467407,
1155
+ "learning_rate": 4.8164693939750425e-05,
1156
+ "loss": 1.6096,
1157
+ "step": 5084
1158
+ },
1159
+ {
1160
+ "epoch": 0.2157954689279838,
1161
+ "grad_norm": 1.053945541381836,
1162
+ "learning_rate": 4.813297930184042e-05,
1163
+ "loss": 1.6296,
1164
+ "step": 5115
1165
+ },
1166
+ {
1167
+ "epoch": 0.21710332025482007,
1168
+ "grad_norm": 1.06475031375885,
1169
+ "learning_rate": 4.810100361140314e-05,
1170
+ "loss": 1.629,
1171
+ "step": 5146
1172
+ },
1173
+ {
1174
+ "epoch": 0.21841117158165632,
1175
+ "grad_norm": 1.1072969436645508,
1176
+ "learning_rate": 4.8068767229279885e-05,
1177
+ "loss": 1.6244,
1178
+ "step": 5177
1179
+ },
1180
+ {
1181
+ "epoch": 0.2197190229084926,
1182
+ "grad_norm": 1.0536466836929321,
1183
+ "learning_rate": 4.8036270519253854e-05,
1184
+ "loss": 1.6474,
1185
+ "step": 5208
1186
+ },
1187
+ {
1188
+ "epoch": 0.22102687423532885,
1189
+ "grad_norm": 1.1039215326309204,
1190
+ "learning_rate": 4.8003513848046e-05,
1191
+ "loss": 1.6354,
1192
+ "step": 5239
1193
+ },
1194
+ {
1195
+ "epoch": 0.22233472556216513,
1196
+ "grad_norm": 1.0463244915008545,
1197
+ "learning_rate": 4.79704975853109e-05,
1198
+ "loss": 1.6154,
1199
+ "step": 5270
1200
+ },
1201
+ {
1202
+ "epoch": 0.22364257688900138,
1203
+ "grad_norm": 1.0931519269943237,
1204
+ "learning_rate": 4.793722210363262e-05,
1205
+ "loss": 1.6037,
1206
+ "step": 5301
1207
+ },
1208
+ {
1209
+ "epoch": 0.22495042821583766,
1210
+ "grad_norm": 1.0838814973831177,
1211
+ "learning_rate": 4.7903687778520414e-05,
1212
+ "loss": 1.6352,
1213
+ "step": 5332
1214
+ },
1215
+ {
1216
+ "epoch": 0.2262582795426739,
1217
+ "grad_norm": 1.0400842428207397,
1218
+ "learning_rate": 4.7869894988404593e-05,
1219
+ "loss": 1.5924,
1220
+ "step": 5363
1221
+ },
1222
+ {
1223
+ "epoch": 0.2275661308695102,
1224
+ "grad_norm": 1.0707345008850098,
1225
+ "learning_rate": 4.783584411463221e-05,
1226
+ "loss": 1.6211,
1227
+ "step": 5394
1228
+ },
1229
+ {
1230
+ "epoch": 0.22887398219634644,
1231
+ "grad_norm": 1.0422611236572266,
1232
+ "learning_rate": 4.780153554146274e-05,
1233
+ "loss": 1.5969,
1234
+ "step": 5425
1235
+ },
1236
+ {
1237
+ "epoch": 0.23018183352318272,
1238
+ "grad_norm": 1.0401543378829956,
1239
+ "learning_rate": 4.7766969656063766e-05,
1240
+ "loss": 1.5974,
1241
+ "step": 5456
1242
+ },
1243
+ {
1244
+ "epoch": 0.23148968485001897,
1245
+ "grad_norm": 1.0429288148880005,
1246
+ "learning_rate": 4.773214684850662e-05,
1247
+ "loss": 1.6043,
1248
+ "step": 5487
1249
+ },
1250
+ {
1251
+ "epoch": 0.23279753617685525,
1252
+ "grad_norm": 1.098827600479126,
1253
+ "learning_rate": 4.769706751176193e-05,
1254
+ "loss": 1.5984,
1255
+ "step": 5518
1256
+ },
1257
+ {
1258
+ "epoch": 0.2341053875036915,
1259
+ "grad_norm": 1.0090724229812622,
1260
+ "learning_rate": 4.7661732041695264e-05,
1261
+ "loss": 1.6012,
1262
+ "step": 5549
1263
+ },
1264
+ {
1265
+ "epoch": 0.23541323883052778,
1266
+ "grad_norm": 1.0732818841934204,
1267
+ "learning_rate": 4.762614083706258e-05,
1268
+ "loss": 1.5996,
1269
+ "step": 5580
1270
+ },
1271
+ {
1272
+ "epoch": 0.23672109015736403,
1273
+ "grad_norm": 1.082144856452942,
1274
+ "learning_rate": 4.759029429950581e-05,
1275
+ "loss": 1.6127,
1276
+ "step": 5611
1277
+ },
1278
+ {
1279
+ "epoch": 0.2380289414842003,
1280
+ "grad_norm": 1.0642670392990112,
1281
+ "learning_rate": 4.7554192833548235e-05,
1282
+ "loss": 1.5962,
1283
+ "step": 5642
1284
+ },
1285
+ {
1286
+ "epoch": 0.23933679281103656,
1287
+ "grad_norm": 1.1351134777069092,
1288
+ "learning_rate": 4.751783684659e-05,
1289
+ "loss": 1.5983,
1290
+ "step": 5673
1291
+ },
1292
+ {
1293
+ "epoch": 0.24064464413787284,
1294
+ "grad_norm": 1.09076726436615,
1295
+ "learning_rate": 4.748122674890348e-05,
1296
+ "loss": 1.6162,
1297
+ "step": 5704
1298
+ },
1299
+ {
1300
+ "epoch": 0.24195249546470912,
1301
+ "grad_norm": 1.0234689712524414,
1302
+ "learning_rate": 4.7444362953628654e-05,
1303
+ "loss": 1.596,
1304
+ "step": 5735
1305
+ },
1306
+ {
1307
+ "epoch": 0.24326034679154537,
1308
+ "grad_norm": 1.1209464073181152,
1309
+ "learning_rate": 4.7407245876768424e-05,
1310
+ "loss": 1.602,
1311
+ "step": 5766
1312
+ },
1313
+ {
1314
+ "epoch": 0.24456819811838165,
1315
+ "grad_norm": 1.0940710306167603,
1316
+ "learning_rate": 4.736987593718397e-05,
1317
+ "loss": 1.5992,
1318
+ "step": 5797
1319
+ },
1320
+ {
1321
+ "epoch": 0.2458760494452179,
1322
+ "grad_norm": 1.0460273027420044,
1323
+ "learning_rate": 4.733225355658999e-05,
1324
+ "loss": 1.5881,
1325
+ "step": 5828
1326
+ },
1327
+ {
1328
+ "epoch": 0.24718390077205418,
1329
+ "grad_norm": 1.0842856168746948,
1330
+ "learning_rate": 4.7294379159549926e-05,
1331
+ "loss": 1.594,
1332
+ "step": 5859
1333
+ },
1334
+ {
1335
+ "epoch": 0.24849175209889043,
1336
+ "grad_norm": 1.0244876146316528,
1337
+ "learning_rate": 4.725625317347119e-05,
1338
+ "loss": 1.583,
1339
+ "step": 5890
1340
+ },
1341
+ {
1342
+ "epoch": 0.2497996034257267,
1343
+ "grad_norm": 1.0182656049728394,
1344
+ "learning_rate": 4.7217876028600374e-05,
1345
+ "loss": 1.5839,
1346
+ "step": 5921
1347
+ },
1348
+ {
1349
+ "epoch": 0.25110745475256296,
1350
+ "grad_norm": 1.0451878309249878,
1351
+ "learning_rate": 4.717924815801832e-05,
1352
+ "loss": 1.6051,
1353
+ "step": 5952
1354
+ },
1355
+ {
1356
+ "epoch": 0.2524153060793992,
1357
+ "grad_norm": 1.0340505838394165,
1358
+ "learning_rate": 4.714036999763532e-05,
1359
+ "loss": 1.5969,
1360
+ "step": 5983
1361
+ },
1362
+ {
1363
+ "epoch": 0.2537231574062355,
1364
+ "grad_norm": 1.0457735061645508,
1365
+ "learning_rate": 4.7101241986186116e-05,
1366
+ "loss": 1.5971,
1367
+ "step": 6014
1368
+ },
1369
+ {
1370
+ "epoch": 0.2550310087330718,
1371
+ "grad_norm": 1.034166693687439,
1372
+ "learning_rate": 4.7061864565225e-05,
1373
+ "loss": 1.5982,
1374
+ "step": 6045
1375
+ },
1376
+ {
1377
+ "epoch": 0.256338860059908,
1378
+ "grad_norm": 1.0326176881790161,
1379
+ "learning_rate": 4.702223817912081e-05,
1380
+ "loss": 1.5691,
1381
+ "step": 6076
1382
+ },
1383
+ {
1384
+ "epoch": 0.2576467113867443,
1385
+ "grad_norm": 1.0339311361312866,
1386
+ "learning_rate": 4.698236327505195e-05,
1387
+ "loss": 1.5726,
1388
+ "step": 6107
1389
+ },
1390
+ {
1391
+ "epoch": 0.2589545627135806,
1392
+ "grad_norm": 1.022299885749817,
1393
+ "learning_rate": 4.694224030300127e-05,
1394
+ "loss": 1.5935,
1395
+ "step": 6138
1396
+ },
1397
+ {
1398
+ "epoch": 0.26026241404041683,
1399
+ "grad_norm": 1.009255051612854,
1400
+ "learning_rate": 4.690186971575107e-05,
1401
+ "loss": 1.574,
1402
+ "step": 6169
1403
+ },
1404
+ {
1405
+ "epoch": 0.2615702653672531,
1406
+ "grad_norm": 1.0181437730789185,
1407
+ "learning_rate": 4.6861251968877916e-05,
1408
+ "loss": 1.57,
1409
+ "step": 6200
1410
+ },
1411
+ {
1412
+ "epoch": 0.26287811669408934,
1413
+ "grad_norm": 1.0302594900131226,
1414
+ "learning_rate": 4.68203875207476e-05,
1415
+ "loss": 1.5785,
1416
+ "step": 6231
1417
+ },
1418
+ {
1419
+ "epoch": 0.26418596802092564,
1420
+ "grad_norm": 1.006404161453247,
1421
+ "learning_rate": 4.677927683250983e-05,
1422
+ "loss": 1.5798,
1423
+ "step": 6262
1424
+ },
1425
+ {
1426
+ "epoch": 0.2654938193477619,
1427
+ "grad_norm": 0.993584394454956,
1428
+ "learning_rate": 4.6737920368093156e-05,
1429
+ "loss": 1.5558,
1430
+ "step": 6293
1431
+ },
1432
+ {
1433
+ "epoch": 0.26680167067459815,
1434
+ "grad_norm": 0.9635722637176514,
1435
+ "learning_rate": 4.669631859419965e-05,
1436
+ "loss": 1.5716,
1437
+ "step": 6324
1438
+ },
1439
+ {
1440
+ "epoch": 0.2681095220014344,
1441
+ "grad_norm": 0.9815465211868286,
1442
+ "learning_rate": 4.6654471980299676e-05,
1443
+ "loss": 1.5472,
1444
+ "step": 6355
1445
+ },
1446
+ {
1447
+ "epoch": 0.2694173733282707,
1448
+ "grad_norm": 0.9921912550926208,
1449
+ "learning_rate": 4.661238099862658e-05,
1450
+ "loss": 1.5786,
1451
+ "step": 6386
1452
+ },
1453
+ {
1454
+ "epoch": 0.27072522465510696,
1455
+ "grad_norm": 1.0193076133728027,
1456
+ "learning_rate": 4.657004612417138e-05,
1457
+ "loss": 1.5672,
1458
+ "step": 6417
1459
+ },
1460
+ {
1461
+ "epoch": 0.2720330759819432,
1462
+ "grad_norm": 0.9979498982429504,
1463
+ "learning_rate": 4.6527467834677374e-05,
1464
+ "loss": 1.5549,
1465
+ "step": 6448
1466
+ },
1467
+ {
1468
+ "epoch": 0.27334092730877946,
1469
+ "grad_norm": 1.0342402458190918,
1470
+ "learning_rate": 4.648464661063478e-05,
1471
+ "loss": 1.5808,
1472
+ "step": 6479
1473
+ },
1474
+ {
1475
+ "epoch": 0.27464877863561576,
1476
+ "grad_norm": 0.9821639060974121,
1477
+ "learning_rate": 4.6441582935275264e-05,
1478
+ "loss": 1.5642,
1479
+ "step": 6510
1480
+ },
1481
+ {
1482
+ "epoch": 0.275956629962452,
1483
+ "grad_norm": 1.002773404121399,
1484
+ "learning_rate": 4.6398277294566586e-05,
1485
+ "loss": 1.5646,
1486
+ "step": 6541
1487
+ },
1488
+ {
1489
+ "epoch": 0.27726448128928827,
1490
+ "grad_norm": 1.0241411924362183,
1491
+ "learning_rate": 4.6354730177207e-05,
1492
+ "loss": 1.5744,
1493
+ "step": 6572
1494
+ },
1495
+ {
1496
+ "epoch": 0.2785723326161245,
1497
+ "grad_norm": 1.0101004838943481,
1498
+ "learning_rate": 4.6310942074619787e-05,
1499
+ "loss": 1.5905,
1500
+ "step": 6603
1501
+ },
1502
+ {
1503
+ "epoch": 0.2798801839429608,
1504
+ "grad_norm": 1.0355374813079834,
1505
+ "learning_rate": 4.626691348094777e-05,
1506
+ "loss": 1.5713,
1507
+ "step": 6634
1508
+ },
1509
+ {
1510
+ "epoch": 0.2811880352697971,
1511
+ "grad_norm": 1.0100233554840088,
1512
+ "learning_rate": 4.622264489304762e-05,
1513
+ "loss": 1.5491,
1514
+ "step": 6665
1515
+ },
1516
+ {
1517
+ "epoch": 0.2824958865966333,
1518
+ "grad_norm": 1.0172356367111206,
1519
+ "learning_rate": 4.617813681048434e-05,
1520
+ "loss": 1.562,
1521
+ "step": 6696
1522
+ },
1523
+ {
1524
+ "epoch": 0.2838037379234696,
1525
+ "grad_norm": 0.994799017906189,
1526
+ "learning_rate": 4.61333897355256e-05,
1527
+ "loss": 1.5526,
1528
+ "step": 6727
1529
+ },
1530
+ {
1531
+ "epoch": 0.2851115892503059,
1532
+ "grad_norm": 1.1320250034332275,
1533
+ "learning_rate": 4.608840417313604e-05,
1534
+ "loss": 1.5616,
1535
+ "step": 6758
1536
+ },
1537
+ {
1538
+ "epoch": 0.28641944057714214,
1539
+ "grad_norm": 1.013725996017456,
1540
+ "learning_rate": 4.6043180630971646e-05,
1541
+ "loss": 1.5345,
1542
+ "step": 6789
1543
+ },
1544
+ {
1545
+ "epoch": 0.2877272919039784,
1546
+ "grad_norm": 1.045462727546692,
1547
+ "learning_rate": 4.599771961937391e-05,
1548
+ "loss": 1.56,
1549
+ "step": 6820
1550
+ },
1551
+ {
1552
+ "epoch": 0.28903514323081464,
1553
+ "grad_norm": 1.0075098276138306,
1554
+ "learning_rate": 4.5952021651364204e-05,
1555
+ "loss": 1.5825,
1556
+ "step": 6851
1557
+ },
1558
+ {
1559
+ "epoch": 0.29034299455765095,
1560
+ "grad_norm": 0.9952128529548645,
1561
+ "learning_rate": 4.590608724263786e-05,
1562
+ "loss": 1.5581,
1563
+ "step": 6882
1564
+ },
1565
+ {
1566
+ "epoch": 0.2916508458844872,
1567
+ "grad_norm": 0.9492574334144592,
1568
+ "learning_rate": 4.585991691155845e-05,
1569
+ "loss": 1.554,
1570
+ "step": 6913
1571
+ },
1572
+ {
1573
+ "epoch": 0.29295869721132345,
1574
+ "grad_norm": 0.9850384593009949,
1575
+ "learning_rate": 4.581351117915188e-05,
1576
+ "loss": 1.5614,
1577
+ "step": 6944
1578
+ },
1579
+ {
1580
+ "epoch": 0.2942665485381597,
1581
+ "grad_norm": 0.9840113520622253,
1582
+ "learning_rate": 4.5766870569100534e-05,
1583
+ "loss": 1.5631,
1584
+ "step": 6975
1585
+ },
1586
+ {
1587
+ "epoch": 0.295574399864996,
1588
+ "grad_norm": 0.9830542802810669,
1589
+ "learning_rate": 4.571999560773736e-05,
1590
+ "loss": 1.5597,
1591
+ "step": 7006
1592
+ },
1593
+ {
1594
+ "epoch": 0.29688225119183226,
1595
+ "grad_norm": 0.9737412929534912,
1596
+ "learning_rate": 4.5672886824039915e-05,
1597
+ "loss": 1.5412,
1598
+ "step": 7037
1599
+ },
1600
+ {
1601
+ "epoch": 0.2981901025186685,
1602
+ "grad_norm": 1.0272278785705566,
1603
+ "learning_rate": 4.5625544749624435e-05,
1604
+ "loss": 1.5724,
1605
+ "step": 7068
1606
+ },
1607
+ {
1608
+ "epoch": 0.29949795384550476,
1609
+ "grad_norm": 0.973682165145874,
1610
+ "learning_rate": 4.5577969918739794e-05,
1611
+ "loss": 1.5739,
1612
+ "step": 7099
1613
+ },
1614
+ {
1615
+ "epoch": 0.30080580517234107,
1616
+ "grad_norm": 0.9709253907203674,
1617
+ "learning_rate": 4.5530162868261486e-05,
1618
+ "loss": 1.5666,
1619
+ "step": 7130
1620
+ },
1621
+ {
1622
+ "epoch": 0.3021136564991773,
1623
+ "grad_norm": 0.9426018595695496,
1624
+ "learning_rate": 4.548212413768558e-05,
1625
+ "loss": 1.5542,
1626
+ "step": 7161
1627
+ },
1628
+ {
1629
+ "epoch": 0.30342150782601357,
1630
+ "grad_norm": 1.026181697845459,
1631
+ "learning_rate": 4.543385426912261e-05,
1632
+ "loss": 1.5235,
1633
+ "step": 7192
1634
+ },
1635
+ {
1636
+ "epoch": 0.3047293591528499,
1637
+ "grad_norm": 0.9783868193626404,
1638
+ "learning_rate": 4.53853538072915e-05,
1639
+ "loss": 1.5591,
1640
+ "step": 7223
1641
+ },
1642
+ {
1643
+ "epoch": 0.30603721047968613,
1644
+ "grad_norm": 0.9816028475761414,
1645
+ "learning_rate": 4.533662329951336e-05,
1646
+ "loss": 1.5484,
1647
+ "step": 7254
1648
+ },
1649
+ {
1650
+ "epoch": 0.3073450618065224,
1651
+ "grad_norm": 0.9516949653625488,
1652
+ "learning_rate": 4.528766329570536e-05,
1653
+ "loss": 1.5251,
1654
+ "step": 7285
1655
+ },
1656
+ {
1657
+ "epoch": 0.30865291313335863,
1658
+ "grad_norm": 0.9601557850837708,
1659
+ "learning_rate": 4.523847434837447e-05,
1660
+ "loss": 1.5668,
1661
+ "step": 7316
1662
+ },
1663
+ {
1664
+ "epoch": 0.30996076446019494,
1665
+ "grad_norm": 0.9607630372047424,
1666
+ "learning_rate": 4.518905701261128e-05,
1667
+ "loss": 1.5576,
1668
+ "step": 7347
1669
+ },
1670
+ {
1671
+ "epoch": 0.3112686157870312,
1672
+ "grad_norm": 0.9606896638870239,
1673
+ "learning_rate": 4.5139411846083715e-05,
1674
+ "loss": 1.5441,
1675
+ "step": 7378
1676
+ },
1677
+ {
1678
+ "epoch": 0.31257646711386744,
1679
+ "grad_norm": 1.0111651420593262,
1680
+ "learning_rate": 4.508953940903073e-05,
1681
+ "loss": 1.5586,
1682
+ "step": 7409
1683
+ },
1684
+ {
1685
+ "epoch": 0.3138843184407037,
1686
+ "grad_norm": 0.9388339519500732,
1687
+ "learning_rate": 4.5039440264255994e-05,
1688
+ "loss": 1.5472,
1689
+ "step": 7440
1690
+ },
1691
+ {
1692
+ "epoch": 0.31519216976754,
1693
+ "grad_norm": 0.9507540464401245,
1694
+ "learning_rate": 4.498911497712155e-05,
1695
+ "loss": 1.5579,
1696
+ "step": 7471
1697
+ },
1698
+ {
1699
+ "epoch": 0.31650002109437625,
1700
+ "grad_norm": 0.9572455286979675,
1701
+ "learning_rate": 4.493856411554142e-05,
1702
+ "loss": 1.5433,
1703
+ "step": 7502
1704
+ },
1705
+ {
1706
+ "epoch": 0.3178078724212125,
1707
+ "grad_norm": 0.9485601782798767,
1708
+ "learning_rate": 4.4887788249975206e-05,
1709
+ "loss": 1.5513,
1710
+ "step": 7533
1711
+ },
1712
+ {
1713
+ "epoch": 0.31911572374804875,
1714
+ "grad_norm": 0.9995166063308716,
1715
+ "learning_rate": 4.4836787953421656e-05,
1716
+ "loss": 1.5289,
1717
+ "step": 7564
1718
+ },
1719
+ {
1720
+ "epoch": 0.32042357507488506,
1721
+ "grad_norm": 1.1004894971847534,
1722
+ "learning_rate": 4.478556380141218e-05,
1723
+ "loss": 1.5306,
1724
+ "step": 7595
1725
+ },
1726
+ {
1727
+ "epoch": 0.3217314264017213,
1728
+ "grad_norm": 0.9642030000686646,
1729
+ "learning_rate": 4.4734116372004375e-05,
1730
+ "loss": 1.5497,
1731
+ "step": 7626
1732
+ },
1733
+ {
1734
+ "epoch": 0.32303927772855756,
1735
+ "grad_norm": 0.9486343860626221,
1736
+ "learning_rate": 4.4682446245775477e-05,
1737
+ "loss": 1.5458,
1738
+ "step": 7657
1739
+ },
1740
+ {
1741
+ "epoch": 0.3243471290553938,
1742
+ "grad_norm": 0.942319929599762,
1743
+ "learning_rate": 4.463055400581586e-05,
1744
+ "loss": 1.5306,
1745
+ "step": 7688
1746
+ },
1747
+ {
1748
+ "epoch": 0.3256549803822301,
1749
+ "grad_norm": 0.9433887004852295,
1750
+ "learning_rate": 4.4578440237722374e-05,
1751
+ "loss": 1.5394,
1752
+ "step": 7719
1753
+ },
1754
+ {
1755
+ "epoch": 0.32696283170906637,
1756
+ "grad_norm": 0.9954056739807129,
1757
+ "learning_rate": 4.452610552959183e-05,
1758
+ "loss": 1.551,
1759
+ "step": 7750
1760
+ },
1761
+ {
1762
+ "epoch": 0.3282706830359026,
1763
+ "grad_norm": 0.9406622052192688,
1764
+ "learning_rate": 4.447355047201428e-05,
1765
+ "loss": 1.5481,
1766
+ "step": 7781
1767
+ },
1768
+ {
1769
+ "epoch": 0.3295785343627389,
1770
+ "grad_norm": 0.9743403792381287,
1771
+ "learning_rate": 4.4420775658066414e-05,
1772
+ "loss": 1.533,
1773
+ "step": 7812
1774
+ },
1775
+ {
1776
+ "epoch": 0.3308863856895752,
1777
+ "grad_norm": 0.9561812877655029,
1778
+ "learning_rate": 4.436778168330484e-05,
1779
+ "loss": 1.5615,
1780
+ "step": 7843
1781
+ },
1782
+ {
1783
+ "epoch": 0.33219423701641143,
1784
+ "grad_norm": 0.9623595476150513,
1785
+ "learning_rate": 4.4314569145759353e-05,
1786
+ "loss": 1.5463,
1787
+ "step": 7874
1788
+ },
1789
+ {
1790
+ "epoch": 0.3335020883432477,
1791
+ "grad_norm": 0.9475456476211548,
1792
+ "learning_rate": 4.42611386459262e-05,
1793
+ "loss": 1.558,
1794
+ "step": 7905
1795
+ },
1796
+ {
1797
+ "epoch": 0.33480993967008393,
1798
+ "grad_norm": 0.9283867478370667,
1799
+ "learning_rate": 4.420749078676133e-05,
1800
+ "loss": 1.5237,
1801
+ "step": 7936
1802
+ },
1803
+ {
1804
+ "epoch": 0.33611779099692024,
1805
+ "grad_norm": 0.9494192004203796,
1806
+ "learning_rate": 4.4153626173673516e-05,
1807
+ "loss": 1.5315,
1808
+ "step": 7967
1809
+ },
1810
+ {
1811
+ "epoch": 0.3374256423237565,
1812
+ "grad_norm": 0.9378790855407715,
1813
+ "learning_rate": 4.409954541451762e-05,
1814
+ "loss": 1.5378,
1815
+ "step": 7998
1816
+ },
1817
+ {
1818
+ "epoch": 0.33873349365059274,
1819
+ "grad_norm": 0.9318397045135498,
1820
+ "learning_rate": 4.404524911958764e-05,
1821
+ "loss": 1.5199,
1822
+ "step": 8029
1823
+ },
1824
+ {
1825
+ "epoch": 0.340041344977429,
1826
+ "grad_norm": 0.9440187215805054,
1827
+ "learning_rate": 4.399073790160989e-05,
1828
+ "loss": 1.5313,
1829
+ "step": 8060
1830
+ },
1831
+ {
1832
+ "epoch": 0.3413491963042653,
1833
+ "grad_norm": 0.9643428921699524,
1834
+ "learning_rate": 4.393601237573607e-05,
1835
+ "loss": 1.5267,
1836
+ "step": 8091
1837
+ },
1838
+ {
1839
+ "epoch": 0.34265704763110155,
1840
+ "grad_norm": 0.9626632928848267,
1841
+ "learning_rate": 4.388107315953628e-05,
1842
+ "loss": 1.5312,
1843
+ "step": 8122
1844
+ },
1845
+ {
1846
+ "epoch": 0.3439648989579378,
1847
+ "grad_norm": 0.9867373704910278,
1848
+ "learning_rate": 4.382592087299212e-05,
1849
+ "loss": 1.5162,
1850
+ "step": 8153
1851
+ },
1852
+ {
1853
+ "epoch": 0.34527275028477405,
1854
+ "grad_norm": 0.9584757685661316,
1855
+ "learning_rate": 4.377055613848964e-05,
1856
+ "loss": 1.5201,
1857
+ "step": 8184
1858
+ },
1859
+ {
1860
+ "epoch": 0.34658060161161036,
1861
+ "grad_norm": 0.9587807655334473,
1862
+ "learning_rate": 4.3714979580812355e-05,
1863
+ "loss": 1.55,
1864
+ "step": 8215
1865
+ },
1866
+ {
1867
+ "epoch": 0.3478884529384466,
1868
+ "grad_norm": 0.948785662651062,
1869
+ "learning_rate": 4.365919182713416e-05,
1870
+ "loss": 1.5392,
1871
+ "step": 8246
1872
+ },
1873
+ {
1874
+ "epoch": 0.34919630426528286,
1875
+ "grad_norm": 0.9717795252799988,
1876
+ "learning_rate": 4.360319350701226e-05,
1877
+ "loss": 1.5112,
1878
+ "step": 8277
1879
+ },
1880
+ {
1881
+ "epoch": 0.3505041555921191,
1882
+ "grad_norm": 0.9338726997375488,
1883
+ "learning_rate": 4.3546985252380115e-05,
1884
+ "loss": 1.5371,
1885
+ "step": 8308
1886
+ },
1887
+ {
1888
+ "epoch": 0.3518120069189554,
1889
+ "grad_norm": 0.9878547191619873,
1890
+ "learning_rate": 4.349056769754021e-05,
1891
+ "loss": 1.5349,
1892
+ "step": 8339
1893
+ },
1894
+ {
1895
+ "epoch": 0.3531198582457917,
1896
+ "grad_norm": 1.0211338996887207,
1897
+ "learning_rate": 4.3433941479156994e-05,
1898
+ "loss": 1.5234,
1899
+ "step": 8370
1900
+ },
1901
+ {
1902
+ "epoch": 0.3544277095726279,
1903
+ "grad_norm": 0.944474458694458,
1904
+ "learning_rate": 4.3377107236249647e-05,
1905
+ "loss": 1.5306,
1906
+ "step": 8401
1907
+ },
1908
+ {
1909
+ "epoch": 0.3557355608994642,
1910
+ "grad_norm": 0.9218102097511292,
1911
+ "learning_rate": 4.332006561018488e-05,
1912
+ "loss": 1.5113,
1913
+ "step": 8432
1914
+ },
1915
+ {
1916
+ "epoch": 0.3570434122263005,
1917
+ "grad_norm": 0.9429653286933899,
1918
+ "learning_rate": 4.3262817244669683e-05,
1919
+ "loss": 1.5095,
1920
+ "step": 8463
1921
+ },
1922
+ {
1923
+ "epoch": 0.35835126355313673,
1924
+ "grad_norm": 0.8979545831680298,
1925
+ "learning_rate": 4.3205362785744083e-05,
1926
+ "loss": 1.522,
1927
+ "step": 8494
1928
+ },
1929
+ {
1930
+ "epoch": 0.359659114879973,
1931
+ "grad_norm": 0.9040619134902954,
1932
+ "learning_rate": 4.314770288177384e-05,
1933
+ "loss": 1.5197,
1934
+ "step": 8525
1935
+ },
1936
+ {
1937
+ "epoch": 0.3609669662068093,
1938
+ "grad_norm": 0.9038030505180359,
1939
+ "learning_rate": 4.308983818344313e-05,
1940
+ "loss": 1.5218,
1941
+ "step": 8556
1942
+ },
1943
+ {
1944
+ "epoch": 0.36227481753364554,
1945
+ "grad_norm": 0.9493038654327393,
1946
+ "learning_rate": 4.3031769343747206e-05,
1947
+ "loss": 1.5306,
1948
+ "step": 8587
1949
+ },
1950
+ {
1951
+ "epoch": 0.3635826688604818,
1952
+ "grad_norm": 0.9084991812705994,
1953
+ "learning_rate": 4.297349701798505e-05,
1954
+ "loss": 1.5146,
1955
+ "step": 8618
1956
+ },
1957
+ {
1958
+ "epoch": 0.36489052018731805,
1959
+ "grad_norm": 0.9597145915031433,
1960
+ "learning_rate": 4.2915021863751916e-05,
1961
+ "loss": 1.5202,
1962
+ "step": 8649
1963
+ },
1964
+ {
1965
+ "epoch": 0.36619837151415435,
1966
+ "grad_norm": 0.9139339923858643,
1967
+ "learning_rate": 4.285634454093198e-05,
1968
+ "loss": 1.5082,
1969
+ "step": 8680
1970
+ },
1971
+ {
1972
+ "epoch": 0.3675062228409906,
1973
+ "grad_norm": 0.955664336681366,
1974
+ "learning_rate": 4.279746571169086e-05,
1975
+ "loss": 1.5073,
1976
+ "step": 8711
1977
+ },
1978
+ {
1979
+ "epoch": 0.36881407416782686,
1980
+ "grad_norm": 0.975068986415863,
1981
+ "learning_rate": 4.2738386040468136e-05,
1982
+ "loss": 1.5086,
1983
+ "step": 8742
1984
+ },
1985
+ {
1986
+ "epoch": 0.3701219254946631,
1987
+ "grad_norm": 0.9280393719673157,
1988
+ "learning_rate": 4.2679106193969866e-05,
1989
+ "loss": 1.5342,
1990
+ "step": 8773
1991
+ },
1992
+ {
1993
+ "epoch": 0.3714297768214994,
1994
+ "grad_norm": 0.9098469614982605,
1995
+ "learning_rate": 4.261962684116106e-05,
1996
+ "loss": 1.5305,
1997
+ "step": 8804
1998
+ },
1999
+ {
2000
+ "epoch": 0.37273762814833566,
2001
+ "grad_norm": 0.9359835386276245,
2002
+ "learning_rate": 4.2559948653258145e-05,
2003
+ "loss": 1.5172,
2004
+ "step": 8835
2005
+ },
2006
+ {
2007
+ "epoch": 0.3740454794751719,
2008
+ "grad_norm": 0.9431541562080383,
2009
+ "learning_rate": 4.250007230372134e-05,
2010
+ "loss": 1.5128,
2011
+ "step": 8866
2012
+ },
2013
+ {
2014
+ "epoch": 0.37535333080200817,
2015
+ "grad_norm": 0.8999470472335815,
2016
+ "learning_rate": 4.2439998468247126e-05,
2017
+ "loss": 1.5025,
2018
+ "step": 8897
2019
+ },
2020
+ {
2021
+ "epoch": 0.3766611821288445,
2022
+ "grad_norm": 0.9414424300193787,
2023
+ "learning_rate": 4.2379727824760566e-05,
2024
+ "loss": 1.5135,
2025
+ "step": 8928
2026
+ },
2027
+ {
2028
+ "epoch": 0.3779690334556807,
2029
+ "grad_norm": 0.9347614049911499,
2030
+ "learning_rate": 4.231926105340768e-05,
2031
+ "loss": 1.5252,
2032
+ "step": 8959
2033
+ },
2034
+ {
2035
+ "epoch": 0.379276884782517,
2036
+ "grad_norm": 0.9166226983070374,
2037
+ "learning_rate": 4.225859883654776e-05,
2038
+ "loss": 1.519,
2039
+ "step": 8990
2040
+ },
2041
+ {
2042
+ "epoch": 0.3805847361093532,
2043
+ "grad_norm": 0.9614241719245911,
2044
+ "learning_rate": 4.219774185874569e-05,
2045
+ "loss": 1.494,
2046
+ "step": 9021
2047
+ },
2048
+ {
2049
+ "epoch": 0.38189258743618953,
2050
+ "grad_norm": 0.9002947211265564,
2051
+ "learning_rate": 4.213669080676418e-05,
2052
+ "loss": 1.5093,
2053
+ "step": 9052
2054
+ },
2055
+ {
2056
+ "epoch": 0.3832004387630258,
2057
+ "grad_norm": 0.8749356269836426,
2058
+ "learning_rate": 4.2075446369556056e-05,
2059
+ "loss": 1.512,
2060
+ "step": 9083
2061
+ },
2062
+ {
2063
+ "epoch": 0.38450829008986204,
2064
+ "grad_norm": 0.954454243183136,
2065
+ "learning_rate": 4.201400923825648e-05,
2066
+ "loss": 1.4987,
2067
+ "step": 9114
2068
+ },
2069
+ {
2070
+ "epoch": 0.3858161414166983,
2071
+ "grad_norm": 0.9184893369674683,
2072
+ "learning_rate": 4.195238010617511e-05,
2073
+ "loss": 1.5195,
2074
+ "step": 9145
2075
+ },
2076
+ {
2077
+ "epoch": 0.3871239927435346,
2078
+ "grad_norm": 0.9145151376724243,
2079
+ "learning_rate": 4.1890559668788344e-05,
2080
+ "loss": 1.5149,
2081
+ "step": 9176
2082
+ },
2083
+ {
2084
+ "epoch": 0.38843184407037085,
2085
+ "grad_norm": 0.9118244051933289,
2086
+ "learning_rate": 4.1828548623731405e-05,
2087
+ "loss": 1.5179,
2088
+ "step": 9207
2089
+ },
2090
+ {
2091
+ "epoch": 0.3897396953972071,
2092
+ "grad_norm": 0.918662428855896,
2093
+ "learning_rate": 4.1766347670790506e-05,
2094
+ "loss": 1.5023,
2095
+ "step": 9238
2096
+ },
2097
+ {
2098
+ "epoch": 0.39104754672404335,
2099
+ "grad_norm": 0.9427615404129028,
2100
+ "learning_rate": 4.170395751189495e-05,
2101
+ "loss": 1.5093,
2102
+ "step": 9269
2103
+ },
2104
+ {
2105
+ "epoch": 0.39235539805087966,
2106
+ "grad_norm": 0.8825695514678955,
2107
+ "learning_rate": 4.164137885110921e-05,
2108
+ "loss": 1.5056,
2109
+ "step": 9300
2110
+ },
2111
+ {
2112
+ "epoch": 0.3936632493777159,
2113
+ "grad_norm": 0.9850104451179504,
2114
+ "learning_rate": 4.157861239462495e-05,
2115
+ "loss": 1.5308,
2116
+ "step": 9331
2117
+ },
2118
+ {
2119
+ "epoch": 0.39497110070455216,
2120
+ "grad_norm": 0.9645696878433228,
2121
+ "learning_rate": 4.1515658850753114e-05,
2122
+ "loss": 1.4933,
2123
+ "step": 9362
2124
+ },
2125
+ {
2126
+ "epoch": 0.3962789520313884,
2127
+ "grad_norm": 0.9052213430404663,
2128
+ "learning_rate": 4.145251892991588e-05,
2129
+ "loss": 1.5072,
2130
+ "step": 9393
2131
+ },
2132
+ {
2133
+ "epoch": 0.3975868033582247,
2134
+ "grad_norm": 0.9212966561317444,
2135
+ "learning_rate": 4.138919334463868e-05,
2136
+ "loss": 1.5041,
2137
+ "step": 9424
2138
+ },
2139
+ {
2140
+ "epoch": 0.39889465468506097,
2141
+ "grad_norm": 0.8963611721992493,
2142
+ "learning_rate": 4.1325682809542124e-05,
2143
+ "loss": 1.5121,
2144
+ "step": 9455
2145
+ },
2146
+ {
2147
+ "epoch": 0.4002025060118972,
2148
+ "grad_norm": 0.9025225639343262,
2149
+ "learning_rate": 4.126198804133398e-05,
2150
+ "loss": 1.5018,
2151
+ "step": 9486
2152
+ },
2153
+ {
2154
+ "epoch": 0.40151035733873347,
2155
+ "grad_norm": 0.9104238748550415,
2156
+ "learning_rate": 4.1198109758801055e-05,
2157
+ "loss": 1.5107,
2158
+ "step": 9517
2159
+ },
2160
+ {
2161
+ "epoch": 0.4028182086655698,
2162
+ "grad_norm": 0.9045152068138123,
2163
+ "learning_rate": 4.113404868280107e-05,
2164
+ "loss": 1.4841,
2165
+ "step": 9548
2166
+ },
2167
+ {
2168
+ "epoch": 0.40412605999240603,
2169
+ "grad_norm": 0.950362503528595,
2170
+ "learning_rate": 4.106980553625457e-05,
2171
+ "loss": 1.5274,
2172
+ "step": 9579
2173
+ },
2174
+ {
2175
+ "epoch": 0.4054339113192423,
2176
+ "grad_norm": 0.8988200426101685,
2177
+ "learning_rate": 4.100538104413674e-05,
2178
+ "loss": 1.5144,
2179
+ "step": 9610
2180
+ },
2181
+ {
2182
+ "epoch": 0.40674176264607853,
2183
+ "grad_norm": 0.9193787574768066,
2184
+ "learning_rate": 4.09407759334692e-05,
2185
+ "loss": 1.5083,
2186
+ "step": 9641
2187
+ },
2188
+ {
2189
+ "epoch": 0.40804961397291484,
2190
+ "grad_norm": 0.885677695274353,
2191
+ "learning_rate": 4.087599093331186e-05,
2192
+ "loss": 1.4969,
2193
+ "step": 9672
2194
+ },
2195
+ {
2196
+ "epoch": 0.4093574652997511,
2197
+ "grad_norm": 0.9060222506523132,
2198
+ "learning_rate": 4.081102677475462e-05,
2199
+ "loss": 1.4821,
2200
+ "step": 9703
2201
+ },
2202
+ {
2203
+ "epoch": 0.41066531662658734,
2204
+ "grad_norm": 0.9060747623443604,
2205
+ "learning_rate": 4.0745884190909194e-05,
2206
+ "loss": 1.4851,
2207
+ "step": 9734
2208
+ },
2209
+ {
2210
+ "epoch": 0.4119731679534236,
2211
+ "grad_norm": 0.8934387564659119,
2212
+ "learning_rate": 4.0680563916900796e-05,
2213
+ "loss": 1.4874,
2214
+ "step": 9765
2215
+ },
2216
+ {
2217
+ "epoch": 0.4132810192802599,
2218
+ "grad_norm": 0.8983092904090881,
2219
+ "learning_rate": 4.0615066689859815e-05,
2220
+ "loss": 1.503,
2221
+ "step": 9796
2222
+ },
2223
+ {
2224
+ "epoch": 0.41458887060709615,
2225
+ "grad_norm": 0.914784848690033,
2226
+ "learning_rate": 4.0549393248913584e-05,
2227
+ "loss": 1.4986,
2228
+ "step": 9827
2229
+ },
2230
+ {
2231
+ "epoch": 0.4158967219339324,
2232
+ "grad_norm": 0.9157377481460571,
2233
+ "learning_rate": 4.048354433517794e-05,
2234
+ "loss": 1.5072,
2235
+ "step": 9858
2236
+ },
2237
+ {
2238
+ "epoch": 0.41720457326076865,
2239
+ "grad_norm": 0.8943291306495667,
2240
+ "learning_rate": 4.0417520691748916e-05,
2241
+ "loss": 1.4853,
2242
+ "step": 9889
2243
+ },
2244
+ {
2245
+ "epoch": 0.41851242458760496,
2246
+ "grad_norm": 0.9054378271102905,
2247
+ "learning_rate": 4.035132306369438e-05,
2248
+ "loss": 1.5004,
2249
+ "step": 9920
2250
+ },
2251
+ {
2252
+ "epoch": 0.4198202759144412,
2253
+ "grad_norm": 0.9269044399261475,
2254
+ "learning_rate": 4.028495219804555e-05,
2255
+ "loss": 1.4741,
2256
+ "step": 9951
2257
+ },
2258
+ {
2259
+ "epoch": 0.42112812724127746,
2260
+ "grad_norm": 0.8953903913497925,
2261
+ "learning_rate": 4.021840884378864e-05,
2262
+ "loss": 1.4843,
2263
+ "step": 9982
2264
+ },
2265
+ {
2266
+ "epoch": 0.42243597856811377,
2267
+ "grad_norm": 0.8900305032730103,
2268
+ "learning_rate": 4.015169375185633e-05,
2269
+ "loss": 1.5267,
2270
+ "step": 10013
2271
+ },
2272
+ {
2273
+ "epoch": 0.42374382989495,
2274
+ "grad_norm": 0.9487763047218323,
2275
+ "learning_rate": 4.0084807675119396e-05,
2276
+ "loss": 1.5108,
2277
+ "step": 10044
2278
+ },
2279
+ {
2280
+ "epoch": 0.42505168122178627,
2281
+ "grad_norm": 0.9137413501739502,
2282
+ "learning_rate": 4.0017751368378106e-05,
2283
+ "loss": 1.4882,
2284
+ "step": 10075
2285
+ },
2286
+ {
2287
+ "epoch": 0.4263595325486225,
2288
+ "grad_norm": 0.9609214067459106,
2289
+ "learning_rate": 3.995052558835377e-05,
2290
+ "loss": 1.4845,
2291
+ "step": 10106
2292
+ },
2293
+ {
2294
+ "epoch": 0.42766738387545883,
2295
+ "grad_norm": 0.8875072002410889,
2296
+ "learning_rate": 3.988313109368017e-05,
2297
+ "loss": 1.5042,
2298
+ "step": 10137
2299
+ },
2300
+ {
2301
+ "epoch": 0.4289752352022951,
2302
+ "grad_norm": 0.8940466642379761,
2303
+ "learning_rate": 3.981556864489504e-05,
2304
+ "loss": 1.4848,
2305
+ "step": 10168
2306
+ },
2307
+ {
2308
+ "epoch": 0.43028308652913133,
2309
+ "grad_norm": 0.9151347279548645,
2310
+ "learning_rate": 3.974783900443142e-05,
2311
+ "loss": 1.5091,
2312
+ "step": 10199
2313
+ },
2314
+ {
2315
+ "epoch": 0.4315909378559676,
2316
+ "grad_norm": 0.8956405520439148,
2317
+ "learning_rate": 3.9679942936609095e-05,
2318
+ "loss": 1.4925,
2319
+ "step": 10230
2320
+ },
2321
+ {
2322
+ "epoch": 0.4328987891828039,
2323
+ "grad_norm": 0.8801243305206299,
2324
+ "learning_rate": 3.961188120762596e-05,
2325
+ "loss": 1.4992,
2326
+ "step": 10261
2327
+ },
2328
+ {
2329
+ "epoch": 0.43420664050964014,
2330
+ "grad_norm": 0.9045059084892273,
2331
+ "learning_rate": 3.954365458554938e-05,
2332
+ "loss": 1.4873,
2333
+ "step": 10292
2334
+ },
2335
+ {
2336
+ "epoch": 0.4355144918364764,
2337
+ "grad_norm": 0.8852213025093079,
2338
+ "learning_rate": 3.947526384030751e-05,
2339
+ "loss": 1.4907,
2340
+ "step": 10323
2341
+ },
2342
+ {
2343
+ "epoch": 0.43682234316331264,
2344
+ "grad_norm": 0.9119607210159302,
2345
+ "learning_rate": 3.9406709743680624e-05,
2346
+ "loss": 1.4879,
2347
+ "step": 10354
2348
+ },
2349
+ {
2350
+ "epoch": 0.43813019449014895,
2351
+ "grad_norm": 0.8808435201644897,
2352
+ "learning_rate": 3.9337993069292366e-05,
2353
+ "loss": 1.473,
2354
+ "step": 10385
2355
+ },
2356
+ {
2357
+ "epoch": 0.4394380458169852,
2358
+ "grad_norm": 0.8821302056312561,
2359
+ "learning_rate": 3.926911459260109e-05,
2360
+ "loss": 1.4883,
2361
+ "step": 10416
2362
+ },
2363
+ {
2364
+ "epoch": 0.44074589714382145,
2365
+ "grad_norm": 0.8727222084999084,
2366
+ "learning_rate": 3.920007509089102e-05,
2367
+ "loss": 1.4802,
2368
+ "step": 10447
2369
+ },
2370
+ {
2371
+ "epoch": 0.4420537484706577,
2372
+ "grad_norm": 0.8907620310783386,
2373
+ "learning_rate": 3.913087534326357e-05,
2374
+ "loss": 1.4947,
2375
+ "step": 10478
2376
+ },
2377
+ {
2378
+ "epoch": 0.443361599797494,
2379
+ "grad_norm": 0.9233911633491516,
2380
+ "learning_rate": 3.9061516130628475e-05,
2381
+ "loss": 1.4844,
2382
+ "step": 10509
2383
+ },
2384
+ {
2385
+ "epoch": 0.44466945112433026,
2386
+ "grad_norm": 0.8893357515335083,
2387
+ "learning_rate": 3.8991998235695025e-05,
2388
+ "loss": 1.4696,
2389
+ "step": 10540
2390
+ },
2391
+ {
2392
+ "epoch": 0.4459773024511665,
2393
+ "grad_norm": 0.8262650966644287,
2394
+ "learning_rate": 3.8922322442963224e-05,
2395
+ "loss": 1.4867,
2396
+ "step": 10571
2397
+ },
2398
+ {
2399
+ "epoch": 0.44728515377800276,
2400
+ "grad_norm": 0.8931017518043518,
2401
+ "learning_rate": 3.885248953871491e-05,
2402
+ "loss": 1.4655,
2403
+ "step": 10602
2404
+ },
2405
+ {
2406
+ "epoch": 0.44859300510483907,
2407
+ "grad_norm": 0.8849929571151733,
2408
+ "learning_rate": 3.8782500311004915e-05,
2409
+ "loss": 1.4905,
2410
+ "step": 10633
2411
+ },
2412
+ {
2413
+ "epoch": 0.4499008564316753,
2414
+ "grad_norm": 0.8966437578201294,
2415
+ "learning_rate": 3.871235554965218e-05,
2416
+ "loss": 1.4861,
2417
+ "step": 10664
2418
+ },
2419
+ {
2420
+ "epoch": 0.4512087077585116,
2421
+ "grad_norm": 0.931607723236084,
2422
+ "learning_rate": 3.864205604623078e-05,
2423
+ "loss": 1.4816,
2424
+ "step": 10695
2425
+ },
2426
+ {
2427
+ "epoch": 0.4525165590853478,
2428
+ "grad_norm": 0.9525107741355896,
2429
+ "learning_rate": 3.857160259406107e-05,
2430
+ "loss": 1.4758,
2431
+ "step": 10726
2432
+ },
2433
+ {
2434
+ "epoch": 0.45382441041218413,
2435
+ "grad_norm": 0.9055147767066956,
2436
+ "learning_rate": 3.8500995988200674e-05,
2437
+ "loss": 1.4869,
2438
+ "step": 10757
2439
+ },
2440
+ {
2441
+ "epoch": 0.4551322617390204,
2442
+ "grad_norm": 0.8673259019851685,
2443
+ "learning_rate": 3.843023702543556e-05,
2444
+ "loss": 1.482,
2445
+ "step": 10788
2446
+ },
2447
+ {
2448
+ "epoch": 0.45644011306585663,
2449
+ "grad_norm": 0.845866858959198,
2450
+ "learning_rate": 3.8359326504270984e-05,
2451
+ "loss": 1.4733,
2452
+ "step": 10819
2453
+ },
2454
+ {
2455
+ "epoch": 0.4577479643926929,
2456
+ "grad_norm": 0.8884342908859253,
2457
+ "learning_rate": 3.828826522492255e-05,
2458
+ "loss": 1.4711,
2459
+ "step": 10850
2460
+ },
2461
+ {
2462
+ "epoch": 0.4590558157195292,
2463
+ "grad_norm": 0.8943782448768616,
2464
+ "learning_rate": 3.821705398930713e-05,
2465
+ "loss": 1.4538,
2466
+ "step": 10881
2467
+ },
2468
+ {
2469
+ "epoch": 0.46036366704636544,
2470
+ "grad_norm": 0.8772262930870056,
2471
+ "learning_rate": 3.814569360103385e-05,
2472
+ "loss": 1.4771,
2473
+ "step": 10912
2474
+ },
2475
+ {
2476
+ "epoch": 0.4616715183732017,
2477
+ "grad_norm": 0.9197453856468201,
2478
+ "learning_rate": 3.807418486539499e-05,
2479
+ "loss": 1.4648,
2480
+ "step": 10943
2481
+ },
2482
+ {
2483
+ "epoch": 0.46297936970003795,
2484
+ "grad_norm": 0.8835433125495911,
2485
+ "learning_rate": 3.80025285893569e-05,
2486
+ "loss": 1.4677,
2487
+ "step": 10974
2488
+ },
2489
+ {
2490
+ "epoch": 0.46428722102687425,
2491
+ "grad_norm": 0.955093264579773,
2492
+ "learning_rate": 3.793072558155093e-05,
2493
+ "loss": 1.4821,
2494
+ "step": 11005
2495
+ },
2496
+ {
2497
+ "epoch": 0.4655950723537105,
2498
+ "grad_norm": 0.9170013070106506,
2499
+ "learning_rate": 3.785877665226426e-05,
2500
+ "loss": 1.481,
2501
+ "step": 11036
2502
+ },
2503
+ {
2504
+ "epoch": 0.46690292368054676,
2505
+ "grad_norm": 0.8826711177825928,
2506
+ "learning_rate": 3.778668261343079e-05,
2507
+ "loss": 1.4713,
2508
+ "step": 11067
2509
+ },
2510
+ {
2511
+ "epoch": 0.468210775007383,
2512
+ "grad_norm": 0.9213606715202332,
2513
+ "learning_rate": 3.771444427862192e-05,
2514
+ "loss": 1.4898,
2515
+ "step": 11098
2516
+ },
2517
+ {
2518
+ "epoch": 0.4695186263342193,
2519
+ "grad_norm": 1.0346989631652832,
2520
+ "learning_rate": 3.7642062463037465e-05,
2521
+ "loss": 1.4768,
2522
+ "step": 11129
2523
+ },
2524
+ {
2525
+ "epoch": 0.47082647766105556,
2526
+ "grad_norm": 0.8965749740600586,
2527
+ "learning_rate": 3.7569537983496373e-05,
2528
+ "loss": 1.4714,
2529
+ "step": 11160
2530
+ },
2531
+ {
2532
+ "epoch": 0.4721343289878918,
2533
+ "grad_norm": 0.88069748878479,
2534
+ "learning_rate": 3.749687165842753e-05,
2535
+ "loss": 1.4938,
2536
+ "step": 11191
2537
+ },
2538
+ {
2539
+ "epoch": 0.47344218031472807,
2540
+ "grad_norm": 0.8329574465751648,
2541
+ "learning_rate": 3.7424064307860536e-05,
2542
+ "loss": 1.4581,
2543
+ "step": 11222
2544
+ },
2545
+ {
2546
+ "epoch": 0.4747500316415644,
2547
+ "grad_norm": 0.8511537313461304,
2548
+ "learning_rate": 3.735111675341645e-05,
2549
+ "loss": 1.4688,
2550
+ "step": 11253
2551
+ },
2552
+ {
2553
+ "epoch": 0.4760578829684006,
2554
+ "grad_norm": 0.8722901344299316,
2555
+ "learning_rate": 3.7278029818298524e-05,
2556
+ "loss": 1.5016,
2557
+ "step": 11284
2558
+ },
2559
+ {
2560
+ "epoch": 0.4773657342952369,
2561
+ "grad_norm": 0.8820895552635193,
2562
+ "learning_rate": 3.720480432728287e-05,
2563
+ "loss": 1.4775,
2564
+ "step": 11315
2565
+ },
2566
+ {
2567
+ "epoch": 0.47867358562207313,
2568
+ "grad_norm": 0.8825634717941284,
2569
+ "learning_rate": 3.71314411067092e-05,
2570
+ "loss": 1.4997,
2571
+ "step": 11346
2572
+ },
2573
+ {
2574
+ "epoch": 0.47998143694890943,
2575
+ "grad_norm": 0.8426871299743652,
2576
+ "learning_rate": 3.70579409844715e-05,
2577
+ "loss": 1.4549,
2578
+ "step": 11377
2579
+ },
2580
+ {
2581
+ "epoch": 0.4812892882757457,
2582
+ "grad_norm": 0.8519338965415955,
2583
+ "learning_rate": 3.698430479000865e-05,
2584
+ "loss": 1.4788,
2585
+ "step": 11408
2586
+ },
2587
+ {
2588
+ "epoch": 0.48259713960258194,
2589
+ "grad_norm": 0.8908571600914001,
2590
+ "learning_rate": 3.691053335429509e-05,
2591
+ "loss": 1.4775,
2592
+ "step": 11439
2593
+ },
2594
+ {
2595
+ "epoch": 0.48390499092941824,
2596
+ "grad_norm": 0.8275105357170105,
2597
+ "learning_rate": 3.683662750983147e-05,
2598
+ "loss": 1.4569,
2599
+ "step": 11470
2600
+ },
2601
+ {
2602
+ "epoch": 0.4852128422562545,
2603
+ "grad_norm": 0.8812130689620972,
2604
+ "learning_rate": 3.676258809063518e-05,
2605
+ "loss": 1.4706,
2606
+ "step": 11501
2607
+ },
2608
+ {
2609
+ "epoch": 0.48652069358309075,
2610
+ "grad_norm": 0.9266872406005859,
2611
+ "learning_rate": 3.6688415932231004e-05,
2612
+ "loss": 1.4699,
2613
+ "step": 11532
2614
+ },
2615
+ {
2616
+ "epoch": 0.487828544909927,
2617
+ "grad_norm": 0.9029215574264526,
2618
+ "learning_rate": 3.661411187164166e-05,
2619
+ "loss": 1.4807,
2620
+ "step": 11563
2621
+ },
2622
+ {
2623
+ "epoch": 0.4891363962367633,
2624
+ "grad_norm": 0.8788023591041565,
2625
+ "learning_rate": 3.65396767473784e-05,
2626
+ "loss": 1.4622,
2627
+ "step": 11594
2628
+ },
2629
+ {
2630
+ "epoch": 0.49044424756359956,
2631
+ "grad_norm": 0.8894121050834656,
2632
+ "learning_rate": 3.6465111399431465e-05,
2633
+ "loss": 1.4748,
2634
+ "step": 11625
2635
+ },
2636
+ {
2637
+ "epoch": 0.4917520988904358,
2638
+ "grad_norm": 0.9032202363014221,
2639
+ "learning_rate": 3.6390416669260674e-05,
2640
+ "loss": 1.4621,
2641
+ "step": 11656
2642
+ },
2643
+ {
2644
+ "epoch": 0.49305995021727206,
2645
+ "grad_norm": 0.9159075021743774,
2646
+ "learning_rate": 3.63155933997859e-05,
2647
+ "loss": 1.4837,
2648
+ "step": 11687
2649
+ },
2650
+ {
2651
+ "epoch": 0.49436780154410837,
2652
+ "grad_norm": 0.850325345993042,
2653
+ "learning_rate": 3.624064243537758e-05,
2654
+ "loss": 1.4703,
2655
+ "step": 11718
2656
+ },
2657
+ {
2658
+ "epoch": 0.4956756528709446,
2659
+ "grad_norm": 0.9051500558853149,
2660
+ "learning_rate": 3.616556462184716e-05,
2661
+ "loss": 1.4905,
2662
+ "step": 11749
2663
+ },
2664
+ {
2665
+ "epoch": 0.49698350419778087,
2666
+ "grad_norm": 0.9070841073989868,
2667
+ "learning_rate": 3.609036080643755e-05,
2668
+ "loss": 1.4626,
2669
+ "step": 11780
2670
+ },
2671
+ {
2672
+ "epoch": 0.4982913555246171,
2673
+ "grad_norm": 0.8970009088516235,
2674
+ "learning_rate": 3.60150318378136e-05,
2675
+ "loss": 1.4704,
2676
+ "step": 11811
2677
+ },
2678
+ {
2679
+ "epoch": 0.4995992068514534,
2680
+ "grad_norm": 0.8439539074897766,
2681
+ "learning_rate": 3.5939578566052465e-05,
2682
+ "loss": 1.4686,
2683
+ "step": 11842
2684
+ },
2685
+ {
2686
+ "epoch": 0.5009070581782896,
2687
+ "grad_norm": 0.8568843603134155,
2688
+ "learning_rate": 3.586400184263408e-05,
2689
+ "loss": 1.451,
2690
+ "step": 11873
2691
+ },
2692
+ {
2693
+ "epoch": 0.5022149095051259,
2694
+ "grad_norm": 0.8979809284210205,
2695
+ "learning_rate": 3.578830252043148e-05,
2696
+ "loss": 1.4808,
2697
+ "step": 11904
2698
+ },
2699
+ {
2700
+ "epoch": 0.5035227608319622,
2701
+ "grad_norm": 0.8958112001419067,
2702
+ "learning_rate": 3.571248145370125e-05,
2703
+ "loss": 1.4836,
2704
+ "step": 11935
2705
+ },
2706
+ {
2707
+ "epoch": 0.5048306121587984,
2708
+ "grad_norm": 0.8810004591941833,
2709
+ "learning_rate": 3.5636539498073794e-05,
2710
+ "loss": 1.4666,
2711
+ "step": 11966
2712
+ },
2713
+ {
2714
+ "epoch": 0.5061384634856347,
2715
+ "grad_norm": 0.855351984500885,
2716
+ "learning_rate": 3.556047751054378e-05,
2717
+ "loss": 1.4653,
2718
+ "step": 11997
2719
+ },
2720
+ {
2721
+ "epoch": 0.507446314812471,
2722
+ "grad_norm": 0.8665292263031006,
2723
+ "learning_rate": 3.548429634946039e-05,
2724
+ "loss": 1.4737,
2725
+ "step": 12028
2726
+ },
2727
+ {
2728
+ "epoch": 0.5087541661393072,
2729
+ "grad_norm": 0.8537725806236267,
2730
+ "learning_rate": 3.540799687451768e-05,
2731
+ "loss": 1.4517,
2732
+ "step": 12059
2733
+ },
2734
+ {
2735
+ "epoch": 0.5100620174661435,
2736
+ "grad_norm": 0.8791072964668274,
2737
+ "learning_rate": 3.533157994674485e-05,
2738
+ "loss": 1.4504,
2739
+ "step": 12090
2740
+ },
2741
+ {
2742
+ "epoch": 0.5113698687929797,
2743
+ "grad_norm": 0.8664337396621704,
2744
+ "learning_rate": 3.5255046428496546e-05,
2745
+ "loss": 1.4733,
2746
+ "step": 12121
2747
+ },
2748
+ {
2749
+ "epoch": 0.512677720119816,
2750
+ "grad_norm": 0.8952924609184265,
2751
+ "learning_rate": 3.517839718344311e-05,
2752
+ "loss": 1.472,
2753
+ "step": 12152
2754
+ },
2755
+ {
2756
+ "epoch": 0.5139855714466524,
2757
+ "grad_norm": 0.8985433578491211,
2758
+ "learning_rate": 3.510163307656086e-05,
2759
+ "loss": 1.452,
2760
+ "step": 12183
2761
+ },
2762
+ {
2763
+ "epoch": 0.5152934227734886,
2764
+ "grad_norm": 0.8967877626419067,
2765
+ "learning_rate": 3.5024754974122324e-05,
2766
+ "loss": 1.4516,
2767
+ "step": 12214
2768
+ },
2769
+ {
2770
+ "epoch": 0.5166012741003249,
2771
+ "grad_norm": 0.8831754922866821,
2772
+ "learning_rate": 3.494776374368643e-05,
2773
+ "loss": 1.467,
2774
+ "step": 12245
2775
+ },
2776
+ {
2777
+ "epoch": 0.5179091254271612,
2778
+ "grad_norm": 0.8881738781929016,
2779
+ "learning_rate": 3.4870660254088724e-05,
2780
+ "loss": 1.444,
2781
+ "step": 12276
2782
+ },
2783
+ {
2784
+ "epoch": 0.5192169767539974,
2785
+ "grad_norm": 0.8571346998214722,
2786
+ "learning_rate": 3.479344537543164e-05,
2787
+ "loss": 1.4695,
2788
+ "step": 12307
2789
+ },
2790
+ {
2791
+ "epoch": 0.5205248280808337,
2792
+ "grad_norm": 0.8962191343307495,
2793
+ "learning_rate": 3.4716119979074565e-05,
2794
+ "loss": 1.4539,
2795
+ "step": 12338
2796
+ },
2797
+ {
2798
+ "epoch": 0.5218326794076699,
2799
+ "grad_norm": 0.8515344262123108,
2800
+ "learning_rate": 3.463868493762412e-05,
2801
+ "loss": 1.4691,
2802
+ "step": 12369
2803
+ },
2804
+ {
2805
+ "epoch": 0.5231405307345062,
2806
+ "grad_norm": 0.8616427183151245,
2807
+ "learning_rate": 3.456114112492418e-05,
2808
+ "loss": 1.4655,
2809
+ "step": 12400
2810
+ },
2811
+ {
2812
+ "epoch": 0.5244483820613425,
2813
+ "grad_norm": 0.8810769319534302,
2814
+ "learning_rate": 3.4483489416046164e-05,
2815
+ "loss": 1.4662,
2816
+ "step": 12431
2817
+ },
2818
+ {
2819
+ "epoch": 0.5257562333881787,
2820
+ "grad_norm": 0.8603881001472473,
2821
+ "learning_rate": 3.440573068727905e-05,
2822
+ "loss": 1.4863,
2823
+ "step": 12462
2824
+ },
2825
+ {
2826
+ "epoch": 0.527064084715015,
2827
+ "grad_norm": 0.8843648433685303,
2828
+ "learning_rate": 3.4327865816119495e-05,
2829
+ "loss": 1.4665,
2830
+ "step": 12493
2831
+ },
2832
+ {
2833
+ "epoch": 0.5283719360418513,
2834
+ "grad_norm": 0.8736210465431213,
2835
+ "learning_rate": 3.4249895681262025e-05,
2836
+ "loss": 1.4626,
2837
+ "step": 12524
2838
+ },
2839
+ {
2840
+ "epoch": 0.5296797873686875,
2841
+ "grad_norm": 0.8971989750862122,
2842
+ "learning_rate": 3.417182116258899e-05,
2843
+ "loss": 1.4413,
2844
+ "step": 12555
2845
+ },
2846
+ {
2847
+ "epoch": 0.5309876386955238,
2848
+ "grad_norm": 0.855297327041626,
2849
+ "learning_rate": 3.409364314116074e-05,
2850
+ "loss": 1.4792,
2851
+ "step": 12586
2852
+ },
2853
+ {
2854
+ "epoch": 0.53229549002236,
2855
+ "grad_norm": 0.8786769509315491,
2856
+ "learning_rate": 3.401536249920559e-05,
2857
+ "loss": 1.4526,
2858
+ "step": 12617
2859
+ },
2860
+ {
2861
+ "epoch": 0.5336033413491963,
2862
+ "grad_norm": 0.8810843229293823,
2863
+ "learning_rate": 3.393698012010998e-05,
2864
+ "loss": 1.4836,
2865
+ "step": 12648
2866
+ },
2867
+ {
2868
+ "epoch": 0.5349111926760326,
2869
+ "grad_norm": 0.8931439518928528,
2870
+ "learning_rate": 3.385849688840839e-05,
2871
+ "loss": 1.4375,
2872
+ "step": 12679
2873
+ },
2874
+ {
2875
+ "epoch": 0.5362190440028688,
2876
+ "grad_norm": 0.8540153503417969,
2877
+ "learning_rate": 3.3779913689773414e-05,
2878
+ "loss": 1.4493,
2879
+ "step": 12710
2880
+ },
2881
+ {
2882
+ "epoch": 0.5375268953297051,
2883
+ "grad_norm": 0.8924010992050171,
2884
+ "learning_rate": 3.370123141100578e-05,
2885
+ "loss": 1.4416,
2886
+ "step": 12741
2887
+ },
2888
+ {
2889
+ "epoch": 0.5388347466565414,
2890
+ "grad_norm": 0.8814260959625244,
2891
+ "learning_rate": 3.3622450940024305e-05,
2892
+ "loss": 1.4619,
2893
+ "step": 12772
2894
+ },
2895
+ {
2896
+ "epoch": 0.5401425979833776,
2897
+ "grad_norm": 0.8524183630943298,
2898
+ "learning_rate": 3.35435731658559e-05,
2899
+ "loss": 1.4469,
2900
+ "step": 12803
2901
+ },
2902
+ {
2903
+ "epoch": 0.5414504493102139,
2904
+ "grad_norm": 0.860457718372345,
2905
+ "learning_rate": 3.346459897862552e-05,
2906
+ "loss": 1.4552,
2907
+ "step": 12834
2908
+ },
2909
+ {
2910
+ "epoch": 0.5427583006370502,
2911
+ "grad_norm": 0.859676718711853,
2912
+ "learning_rate": 3.338552926954613e-05,
2913
+ "loss": 1.4585,
2914
+ "step": 12865
2915
+ },
2916
+ {
2917
+ "epoch": 0.5440661519638864,
2918
+ "grad_norm": 0.8739502429962158,
2919
+ "learning_rate": 3.330636493090868e-05,
2920
+ "loss": 1.4506,
2921
+ "step": 12896
2922
+ },
2923
+ {
2924
+ "epoch": 0.5453740032907227,
2925
+ "grad_norm": 0.8808159828186035,
2926
+ "learning_rate": 3.322710685607193e-05,
2927
+ "loss": 1.4612,
2928
+ "step": 12927
2929
+ },
2930
+ {
2931
+ "epoch": 0.5466818546175589,
2932
+ "grad_norm": 0.8579108119010925,
2933
+ "learning_rate": 3.314775593945251e-05,
2934
+ "loss": 1.4462,
2935
+ "step": 12958
2936
+ },
2937
+ {
2938
+ "epoch": 0.5479897059443952,
2939
+ "grad_norm": 0.9209607839584351,
2940
+ "learning_rate": 3.3068313076514714e-05,
2941
+ "loss": 1.4464,
2942
+ "step": 12989
2943
+ },
2944
+ {
2945
+ "epoch": 0.5492975572712315,
2946
+ "grad_norm": 0.8351584672927856,
2947
+ "learning_rate": 3.298877916376047e-05,
2948
+ "loss": 1.4478,
2949
+ "step": 13020
2950
+ },
2951
+ {
2952
+ "epoch": 0.5506054085980677,
2953
+ "grad_norm": 0.8345361351966858,
2954
+ "learning_rate": 3.290915509871915e-05,
2955
+ "loss": 1.428,
2956
+ "step": 13051
2957
+ },
2958
+ {
2959
+ "epoch": 0.551913259924904,
2960
+ "grad_norm": 1.180969476699829,
2961
+ "learning_rate": 3.282944177993753e-05,
2962
+ "loss": 1.442,
2963
+ "step": 13082
2964
+ },
2965
+ {
2966
+ "epoch": 0.5532211112517403,
2967
+ "grad_norm": 0.8715757131576538,
2968
+ "learning_rate": 3.274964010696957e-05,
2969
+ "loss": 1.4536,
2970
+ "step": 13113
2971
+ },
2972
+ {
2973
+ "epoch": 0.5545289625785765,
2974
+ "grad_norm": 0.8906053304672241,
2975
+ "learning_rate": 3.266975098036629e-05,
2976
+ "loss": 1.4512,
2977
+ "step": 13144
2978
+ },
2979
+ {
2980
+ "epoch": 0.5558368139054128,
2981
+ "grad_norm": 0.8323124647140503,
2982
+ "learning_rate": 3.258977530166562e-05,
2983
+ "loss": 1.4515,
2984
+ "step": 13175
2985
+ },
2986
+ {
2987
+ "epoch": 0.557144665232249,
2988
+ "grad_norm": 0.835608959197998,
2989
+ "learning_rate": 3.250971397338227e-05,
2990
+ "loss": 1.4563,
2991
+ "step": 13206
2992
+ },
2993
+ {
2994
+ "epoch": 0.5584525165590853,
2995
+ "grad_norm": 0.8299891948699951,
2996
+ "learning_rate": 3.2429567898997404e-05,
2997
+ "loss": 1.4551,
2998
+ "step": 13237
2999
+ },
3000
+ {
3001
+ "epoch": 0.5597603678859217,
3002
+ "grad_norm": 0.8563460111618042,
3003
+ "learning_rate": 3.234933798294859e-05,
3004
+ "loss": 1.4282,
3005
+ "step": 13268
3006
+ },
3007
+ {
3008
+ "epoch": 0.5610682192127578,
3009
+ "grad_norm": 0.8846110701560974,
3010
+ "learning_rate": 3.2269025130619535e-05,
3011
+ "loss": 1.441,
3012
+ "step": 13299
3013
+ },
3014
+ {
3015
+ "epoch": 0.5623760705395942,
3016
+ "grad_norm": 0.8108500242233276,
3017
+ "learning_rate": 3.218863024832985e-05,
3018
+ "loss": 1.4702,
3019
+ "step": 13330
3020
+ },
3021
+ {
3022
+ "epoch": 0.5636839218664305,
3023
+ "grad_norm": 0.8752537369728088,
3024
+ "learning_rate": 3.2108154243324864e-05,
3025
+ "loss": 1.4361,
3026
+ "step": 13361
3027
+ },
3028
+ {
3029
+ "epoch": 0.5649917731932667,
3030
+ "grad_norm": 0.8647633790969849,
3031
+ "learning_rate": 3.2027598023765345e-05,
3032
+ "loss": 1.4365,
3033
+ "step": 13392
3034
+ },
3035
+ {
3036
+ "epoch": 0.566299624520103,
3037
+ "grad_norm": 0.8434934616088867,
3038
+ "learning_rate": 3.194696249871729e-05,
3039
+ "loss": 1.4495,
3040
+ "step": 13423
3041
+ },
3042
+ {
3043
+ "epoch": 0.5676074758469392,
3044
+ "grad_norm": 0.8327639102935791,
3045
+ "learning_rate": 3.186624857814164e-05,
3046
+ "loss": 1.463,
3047
+ "step": 13454
3048
+ },
3049
+ {
3050
+ "epoch": 0.5689153271737755,
3051
+ "grad_norm": 0.8536667823791504,
3052
+ "learning_rate": 3.178545717288401e-05,
3053
+ "loss": 1.4334,
3054
+ "step": 13485
3055
+ },
3056
+ {
3057
+ "epoch": 0.5702231785006118,
3058
+ "grad_norm": 0.8552531003952026,
3059
+ "learning_rate": 3.170458919466444e-05,
3060
+ "loss": 1.453,
3061
+ "step": 13516
3062
+ },
3063
+ {
3064
+ "epoch": 0.571531029827448,
3065
+ "grad_norm": 0.8317746520042419,
3066
+ "learning_rate": 3.1623645556067063e-05,
3067
+ "loss": 1.4586,
3068
+ "step": 13547
3069
+ },
3070
+ {
3071
+ "epoch": 0.5728388811542843,
3072
+ "grad_norm": 0.858818531036377,
3073
+ "learning_rate": 3.154262717052985e-05,
3074
+ "loss": 1.4386,
3075
+ "step": 13578
3076
+ },
3077
+ {
3078
+ "epoch": 0.5741467324811206,
3079
+ "grad_norm": 0.8759421110153198,
3080
+ "learning_rate": 3.146153495233426e-05,
3081
+ "loss": 1.4411,
3082
+ "step": 13609
3083
+ },
3084
+ {
3085
+ "epoch": 0.5754545838079568,
3086
+ "grad_norm": 0.9180925488471985,
3087
+ "learning_rate": 3.1380369816594944e-05,
3088
+ "loss": 1.4412,
3089
+ "step": 13640
3090
+ },
3091
+ {
3092
+ "epoch": 0.5767624351347931,
3093
+ "grad_norm": 0.8536112904548645,
3094
+ "learning_rate": 3.129913267924946e-05,
3095
+ "loss": 1.426,
3096
+ "step": 13671
3097
+ },
3098
+ {
3099
+ "epoch": 0.5780702864616293,
3100
+ "grad_norm": 0.8422097563743591,
3101
+ "learning_rate": 3.121782445704782e-05,
3102
+ "loss": 1.4446,
3103
+ "step": 13702
3104
+ },
3105
+ {
3106
+ "epoch": 0.5793781377884656,
3107
+ "grad_norm": 0.8785713315010071,
3108
+ "learning_rate": 3.11364460675423e-05,
3109
+ "loss": 1.4583,
3110
+ "step": 13733
3111
+ },
3112
+ {
3113
+ "epoch": 0.5806859891153019,
3114
+ "grad_norm": 0.8932250738143921,
3115
+ "learning_rate": 3.1054998429076934e-05,
3116
+ "loss": 1.4767,
3117
+ "step": 13764
3118
+ },
3119
+ {
3120
+ "epoch": 0.5819938404421381,
3121
+ "grad_norm": 0.8232563138008118,
3122
+ "learning_rate": 3.097348246077728e-05,
3123
+ "loss": 1.4384,
3124
+ "step": 13795
3125
+ },
3126
+ {
3127
+ "epoch": 0.5833016917689744,
3128
+ "grad_norm": 0.8628634810447693,
3129
+ "learning_rate": 3.0891899082539924e-05,
3130
+ "loss": 1.4198,
3131
+ "step": 13826
3132
+ },
3133
+ {
3134
+ "epoch": 0.5846095430958107,
3135
+ "grad_norm": 0.8697309494018555,
3136
+ "learning_rate": 3.0810249215022233e-05,
3137
+ "loss": 1.4431,
3138
+ "step": 13857
3139
+ },
3140
+ {
3141
+ "epoch": 0.5859173944226469,
3142
+ "grad_norm": 0.8559725880622864,
3143
+ "learning_rate": 3.0728533779631865e-05,
3144
+ "loss": 1.4556,
3145
+ "step": 13888
3146
+ },
3147
+ {
3148
+ "epoch": 0.5872252457494832,
3149
+ "grad_norm": 0.8450871109962463,
3150
+ "learning_rate": 3.064675369851637e-05,
3151
+ "loss": 1.4357,
3152
+ "step": 13919
3153
+ },
3154
+ {
3155
+ "epoch": 0.5885330970763194,
3156
+ "grad_norm": 0.8583346009254456,
3157
+ "learning_rate": 3.056490989455289e-05,
3158
+ "loss": 1.4503,
3159
+ "step": 13950
3160
+ },
3161
+ {
3162
+ "epoch": 0.5898409484031557,
3163
+ "grad_norm": 0.8461182117462158,
3164
+ "learning_rate": 3.0483003291337596e-05,
3165
+ "loss": 1.4379,
3166
+ "step": 13981
3167
+ },
3168
+ {
3169
+ "epoch": 0.591148799729992,
3170
+ "grad_norm": 0.8465268015861511,
3171
+ "learning_rate": 3.040103481317539e-05,
3172
+ "loss": 1.4427,
3173
+ "step": 14012
3174
+ },
3175
+ {
3176
+ "epoch": 0.5924566510568282,
3177
+ "grad_norm": 0.8772551417350769,
3178
+ "learning_rate": 3.03190053850694e-05,
3179
+ "loss": 1.4382,
3180
+ "step": 14043
3181
+ },
3182
+ {
3183
+ "epoch": 0.5937645023836645,
3184
+ "grad_norm": 0.8575912714004517,
3185
+ "learning_rate": 3.0236915932710573e-05,
3186
+ "loss": 1.4395,
3187
+ "step": 14074
3188
+ },
3189
+ {
3190
+ "epoch": 0.5950723537105008,
3191
+ "grad_norm": 0.8548452258110046,
3192
+ "learning_rate": 3.0154767382467232e-05,
3193
+ "loss": 1.4569,
3194
+ "step": 14105
3195
+ },
3196
+ {
3197
+ "epoch": 0.596380205037337,
3198
+ "grad_norm": 0.8532379865646362,
3199
+ "learning_rate": 3.0072560661374582e-05,
3200
+ "loss": 1.455,
3201
+ "step": 14136
3202
+ },
3203
+ {
3204
+ "epoch": 0.5976880563641733,
3205
+ "grad_norm": 0.8995953798294067,
3206
+ "learning_rate": 2.999029669712431e-05,
3207
+ "loss": 1.4284,
3208
+ "step": 14167
3209
+ },
3210
+ {
3211
+ "epoch": 0.5989959076910095,
3212
+ "grad_norm": 0.8514725565910339,
3213
+ "learning_rate": 2.990797641805408e-05,
3214
+ "loss": 1.4421,
3215
+ "step": 14198
3216
+ },
3217
+ {
3218
+ "epoch": 0.6003037590178458,
3219
+ "grad_norm": 0.8758474588394165,
3220
+ "learning_rate": 2.982560075313704e-05,
3221
+ "loss": 1.4499,
3222
+ "step": 14229
3223
+ },
3224
+ {
3225
+ "epoch": 0.6016116103446821,
3226
+ "grad_norm": 0.8488143086433411,
3227
+ "learning_rate": 2.9743170631971368e-05,
3228
+ "loss": 1.4372,
3229
+ "step": 14260
3230
+ },
3231
+ {
3232
+ "epoch": 0.6029194616715183,
3233
+ "grad_norm": 0.8220718502998352,
3234
+ "learning_rate": 2.9660686984769792e-05,
3235
+ "loss": 1.4386,
3236
+ "step": 14291
3237
+ },
3238
+ {
3239
+ "epoch": 0.6042273129983546,
3240
+ "grad_norm": 0.8164191842079163,
3241
+ "learning_rate": 2.9578150742349047e-05,
3242
+ "loss": 1.4483,
3243
+ "step": 14322
3244
+ },
3245
+ {
3246
+ "epoch": 0.6055351643251909,
3247
+ "grad_norm": 0.8328901529312134,
3248
+ "learning_rate": 2.949556283611942e-05,
3249
+ "loss": 1.415,
3250
+ "step": 14353
3251
+ },
3252
+ {
3253
+ "epoch": 0.6068430156520271,
3254
+ "grad_norm": 0.8837373852729797,
3255
+ "learning_rate": 2.9412924198074206e-05,
3256
+ "loss": 1.424,
3257
+ "step": 14384
3258
+ },
3259
+ {
3260
+ "epoch": 0.6081508669788634,
3261
+ "grad_norm": 0.8237875699996948,
3262
+ "learning_rate": 2.9330235760779208e-05,
3263
+ "loss": 1.4431,
3264
+ "step": 14415
3265
+ },
3266
+ {
3267
+ "epoch": 0.6094587183056998,
3268
+ "grad_norm": 0.8620266318321228,
3269
+ "learning_rate": 2.9247498457362188e-05,
3270
+ "loss": 1.4524,
3271
+ "step": 14446
3272
+ },
3273
+ {
3274
+ "epoch": 0.610766569632536,
3275
+ "grad_norm": 0.8520477414131165,
3276
+ "learning_rate": 2.9164713221502373e-05,
3277
+ "loss": 1.4223,
3278
+ "step": 14477
3279
+ },
3280
+ {
3281
+ "epoch": 0.6120744209593723,
3282
+ "grad_norm": 0.8385702967643738,
3283
+ "learning_rate": 2.9081880987419912e-05,
3284
+ "loss": 1.4357,
3285
+ "step": 14508
3286
+ },
3287
+ {
3288
+ "epoch": 0.6133822722862085,
3289
+ "grad_norm": 0.8283481597900391,
3290
+ "learning_rate": 2.8999002689865296e-05,
3291
+ "loss": 1.4366,
3292
+ "step": 14539
3293
+ },
3294
+ {
3295
+ "epoch": 0.6146901236130448,
3296
+ "grad_norm": 0.8642637133598328,
3297
+ "learning_rate": 2.8916079264108852e-05,
3298
+ "loss": 1.4541,
3299
+ "step": 14570
3300
+ },
3301
+ {
3302
+ "epoch": 0.6159979749398811,
3303
+ "grad_norm": 0.8478630781173706,
3304
+ "learning_rate": 2.883311164593017e-05,
3305
+ "loss": 1.4401,
3306
+ "step": 14601
3307
+ },
3308
+ {
3309
+ "epoch": 0.6173058262667173,
3310
+ "grad_norm": 0.8753395080566406,
3311
+ "learning_rate": 2.875010077160754e-05,
3312
+ "loss": 1.4702,
3313
+ "step": 14632
3314
+ },
3315
+ {
3316
+ "epoch": 0.6186136775935536,
3317
+ "grad_norm": 0.827409029006958,
3318
+ "learning_rate": 2.866704757790741e-05,
3319
+ "loss": 1.4677,
3320
+ "step": 14663
3321
+ },
3322
+ {
3323
+ "epoch": 0.6199215289203899,
3324
+ "grad_norm": 0.8742043375968933,
3325
+ "learning_rate": 2.858395300207376e-05,
3326
+ "loss": 1.4291,
3327
+ "step": 14694
3328
+ },
3329
+ {
3330
+ "epoch": 0.6212293802472261,
3331
+ "grad_norm": 0.8350484371185303,
3332
+ "learning_rate": 2.8500817981817607e-05,
3333
+ "loss": 1.4475,
3334
+ "step": 14725
3335
+ },
3336
+ {
3337
+ "epoch": 0.6225372315740624,
3338
+ "grad_norm": 0.8273993134498596,
3339
+ "learning_rate": 2.8417643455306336e-05,
3340
+ "loss": 1.4303,
3341
+ "step": 14756
3342
+ },
3343
+ {
3344
+ "epoch": 0.6238450829008986,
3345
+ "grad_norm": 0.8380706310272217,
3346
+ "learning_rate": 2.8334430361153185e-05,
3347
+ "loss": 1.4479,
3348
+ "step": 14787
3349
+ },
3350
+ {
3351
+ "epoch": 0.6251529342277349,
3352
+ "grad_norm": 0.8500368595123291,
3353
+ "learning_rate": 2.8251179638406612e-05,
3354
+ "loss": 1.4293,
3355
+ "step": 14818
3356
+ },
3357
+ {
3358
+ "epoch": 0.6264607855545712,
3359
+ "grad_norm": 0.837519109249115,
3360
+ "learning_rate": 2.8167892226539704e-05,
3361
+ "loss": 1.4433,
3362
+ "step": 14849
3363
+ },
3364
+ {
3365
+ "epoch": 0.6277686368814074,
3366
+ "grad_norm": 0.8816763758659363,
3367
+ "learning_rate": 2.8084569065439588e-05,
3368
+ "loss": 1.4225,
3369
+ "step": 14880
3370
+ },
3371
+ {
3372
+ "epoch": 0.6290764882082437,
3373
+ "grad_norm": 0.8599192500114441,
3374
+ "learning_rate": 2.8001211095396807e-05,
3375
+ "loss": 1.4494,
3376
+ "step": 14911
3377
+ },
3378
+ {
3379
+ "epoch": 0.63038433953508,
3380
+ "grad_norm": 0.8788051009178162,
3381
+ "learning_rate": 2.791781925709473e-05,
3382
+ "loss": 1.424,
3383
+ "step": 14942
3384
+ },
3385
+ {
3386
+ "epoch": 0.6316921908619162,
3387
+ "grad_norm": 0.8713638186454773,
3388
+ "learning_rate": 2.7834394491598908e-05,
3389
+ "loss": 1.4386,
3390
+ "step": 14973
3391
+ },
3392
+ {
3393
+ "epoch": 0.6330000421887525,
3394
+ "grad_norm": 0.883663535118103,
3395
+ "learning_rate": 2.7750937740346485e-05,
3396
+ "loss": 1.4509,
3397
+ "step": 15004
3398
+ },
3399
+ {
3400
+ "epoch": 0.6343078935155887,
3401
+ "grad_norm": 0.8379449248313904,
3402
+ "learning_rate": 2.7667449945135564e-05,
3403
+ "loss": 1.4257,
3404
+ "step": 15035
3405
+ },
3406
+ {
3407
+ "epoch": 0.635615744842425,
3408
+ "grad_norm": 0.8503741025924683,
3409
+ "learning_rate": 2.7583932048114557e-05,
3410
+ "loss": 1.429,
3411
+ "step": 15066
3412
+ },
3413
+ {
3414
+ "epoch": 0.6369235961692613,
3415
+ "grad_norm": 0.8763847351074219,
3416
+ "learning_rate": 2.7500384991771587e-05,
3417
+ "loss": 1.4362,
3418
+ "step": 15097
3419
+ },
3420
+ {
3421
+ "epoch": 0.6382314474960975,
3422
+ "grad_norm": 0.8516677021980286,
3423
+ "learning_rate": 2.7416809718923825e-05,
3424
+ "loss": 1.4248,
3425
+ "step": 15128
3426
+ },
3427
+ {
3428
+ "epoch": 0.6395392988229338,
3429
+ "grad_norm": 0.8780989050865173,
3430
+ "learning_rate": 2.7333207172706864e-05,
3431
+ "loss": 1.4154,
3432
+ "step": 15159
3433
+ },
3434
+ {
3435
+ "epoch": 0.6408471501497701,
3436
+ "grad_norm": 0.8541295528411865,
3437
+ "learning_rate": 2.7249578296564088e-05,
3438
+ "loss": 1.4364,
3439
+ "step": 15190
3440
+ },
3441
+ {
3442
+ "epoch": 0.6421550014766063,
3443
+ "grad_norm": 0.8412326574325562,
3444
+ "learning_rate": 2.7165924034235973e-05,
3445
+ "loss": 1.4317,
3446
+ "step": 15221
3447
+ },
3448
+ {
3449
+ "epoch": 0.6434628528034426,
3450
+ "grad_norm": 0.8619037866592407,
3451
+ "learning_rate": 2.708224532974953e-05,
3452
+ "loss": 1.4421,
3453
+ "step": 15252
3454
+ }
3455
+ ],
3456
+ "logging_steps": 31,
3457
+ "max_steps": 30517,
3458
+ "num_input_tokens_seen": 0,
3459
+ "num_train_epochs": 2,
3460
+ "save_steps": 3052,
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": 1.065842709765292e+19,
3474
+ "train_batch_size": 16,
3475
+ "trial_name": null,
3476
+ "trial_params": null
3477
+ }
checkpoint-15260/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ecde935cd607ffb947b09c1710b3852e02c5808350a9c8894f95cc7f1e96efb
3
+ size 5304
checkpoint-18312/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Qwen2.5-7B-Instruct-te-madlad-mean/",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 161672
28
+ }
checkpoint-18312/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.44.0.dev0"
14
+ }
checkpoint-18312/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b712bb45320d8a27bc8926e88ca81a55801ce47e020d58716c2e61abd7eabf1
3
+ size 4842817304
checkpoint-18312/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:becf3c41c7359877372d1f9bdba9efe52cb2b8dab7330b346e831a36665b8f0e
3
+ size 4998852224
checkpoint-18312/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad9da13aef49ef9aa84ff7ac6ae375fc2f8c339648214e7663e44e16a6763847
3
+ size 4984124304
checkpoint-18312/model-00004-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dfc2c86e34819a46908bfe3ad42f3986e7efdfc34f67e43f40f690f77c7b0672
3
+ size 4932743992
checkpoint-18312/model-00005-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:891f86a74d6b1791b98b581ff94cbedb16bfdb78595b9697dc3fd2ecc5974ba2
3
+ size 4998852296
checkpoint-18312/model-00006-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8859d39823e9d0c373fc5576f953e73be9e1cf2bccf2c4ac6e7ece4891b607de
3
+ size 3662865184
checkpoint-18312/model-00007-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:157af006658547ecd902a07d6c01933384a9296427a161b20044ed1964568049
3
+ size 2317729920
checkpoint-18312/model.safetensors.index.json ADDED
@@ -0,0 +1,346 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 30737946624
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00007-of-00007.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00007.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00007.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00007.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00007.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00007.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00007.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00007.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00007.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00007.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00007.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00007.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00007.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00007.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00005-of-00007.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00007.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00005-of-00007.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00007.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00005-of-00007.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00007.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00007.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00007.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00007.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors",
260
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00007.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
265
+ "model.layers.3.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
266
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
267
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
268
+ "model.layers.3.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
269
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
270
+ "model.layers.3.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
272
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors",
273
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
274
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
275
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
276
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
277
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
278
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
279
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
280
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
281
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
282
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
283
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
284
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors",
285
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
286
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
287
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
288
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
289
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
290
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
291
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
292
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
293
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
294
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
295
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
296
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors",
297
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
298
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
299
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
300
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
301
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
302
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
303
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
304
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
305
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
306
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
307
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
308
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors",
309
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors",
310
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
311
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
312
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
315
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
316
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
317
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
318
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
319
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
321
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
322
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
323
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
324
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
325
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00007.safetensors",
326
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
327
+ "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
328
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00007.safetensors",
329
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
330
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00007.safetensors",
331
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
332
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
333
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
334
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
335
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
336
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
337
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00007.safetensors",
338
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
339
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
340
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00007.safetensors",
341
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
342
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00007.safetensors",
343
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
344
+ "model.norm.weight": "model-00006-of-00007.safetensors"
345
+ }
346
+ }
checkpoint-18312/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9e5f3510621b667ef1f8a5a8e5741a1ca531920f40e250688937dcbe7c65439
3
+ size 16728842070
checkpoint-18312/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d9cd6a0487226e5bd30d1846894c82af483733ab4381b75bae9c0745e05d405
3
+ size 14244
checkpoint-18312/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0e65c3d6f29e706fd941a38280ce5628189a6998eac6d29abbeab00ad838d00
3
+ size 1064
checkpoint-18312/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-18312/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4ecde935cd607ffb947b09c1710b3852e02c5808350a9c8894f95cc7f1e96efb
3
+ size 5304
checkpoint-21364/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Qwen2.5-7B-Instruct-te-madlad-mean/",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 3584,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 18944,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 28,
17
+ "num_hidden_layers": 28,
18
+ "num_key_value_heads": 4,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": null,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.44.0.dev0",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 161672
28
+ }
checkpoint-21364/generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.44.0.dev0"
14
+ }
checkpoint-21364/model-00001-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9579e48852f381ff4d0fdf747364b87dff8f846be557b03e94389d0d17139cb2
3
+ size 4842817304
checkpoint-21364/model-00002-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:becf3c41c7359877372d1f9bdba9efe52cb2b8dab7330b346e831a36665b8f0e
3
+ size 4998852224
checkpoint-21364/model-00003-of-00007.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad9da13aef49ef9aa84ff7ac6ae375fc2f8c339648214e7663e44e16a6763847
3
+ size 4984124304