atsuki-yamaguchi commited on
Commit
5c2b870
·
verified ·
1 Parent(s): 01d16fa

Upload folder using huggingface_hub

Browse files
Files changed (43) hide show
  1. checkpoint-1054/config.json +27 -0
  2. checkpoint-1054/generation_config.json +6 -0
  3. checkpoint-1054/model-00001-of-00006.safetensors +3 -0
  4. checkpoint-1054/model-00002-of-00006.safetensors +3 -0
  5. checkpoint-1054/model-00003-of-00006.safetensors +3 -0
  6. checkpoint-1054/model-00004-of-00006.safetensors +3 -0
  7. checkpoint-1054/model-00005-of-00006.safetensors +3 -0
  8. checkpoint-1054/model-00006-of-00006.safetensors +3 -0
  9. checkpoint-1054/model.safetensors.index.json +362 -0
  10. checkpoint-1054/optimizer.pt +3 -0
  11. checkpoint-1054/rng_state.pth +3 -0
  12. checkpoint-1054/scheduler.pt +3 -0
  13. checkpoint-1054/trainer_state.json +3722 -0
  14. checkpoint-1054/training_args.bin +3 -0
  15. checkpoint-527/config.json +27 -0
  16. checkpoint-527/generation_config.json +6 -0
  17. checkpoint-527/model-00001-of-00006.safetensors +3 -0
  18. checkpoint-527/model-00002-of-00006.safetensors +3 -0
  19. checkpoint-527/model-00003-of-00006.safetensors +3 -0
  20. checkpoint-527/model-00004-of-00006.safetensors +3 -0
  21. checkpoint-527/model-00005-of-00006.safetensors +3 -0
  22. checkpoint-527/model-00006-of-00006.safetensors +3 -0
  23. checkpoint-527/model.safetensors.index.json +362 -0
  24. checkpoint-527/optimizer.pt +3 -0
  25. checkpoint-527/rng_state.pth +3 -0
  26. checkpoint-527/scheduler.pt +3 -0
  27. checkpoint-527/trainer_state.json +1874 -0
  28. checkpoint-527/training_args.bin +3 -0
  29. config.json +27 -0
  30. generation_config.json +6 -0
  31. merges.txt +0 -0
  32. model-00001-of-00006.safetensors +3 -0
  33. model-00002-of-00006.safetensors +3 -0
  34. model-00003-of-00006.safetensors +3 -0
  35. model-00004-of-00006.safetensors +3 -0
  36. model-00005-of-00006.safetensors +3 -0
  37. model-00006-of-00006.safetensors +3 -0
  38. model.safetensors.index.json +362 -0
  39. special_tokens_map.json +30 -0
  40. tokenizer.json +0 -0
  41. tokenizer_config.json +189 -0
  42. training_args.bin +3 -0
  43. vocab.json +0 -0
checkpoint-1054/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-mni_Beng-coli-rand/",
3
+ "architectures": [
4
+ "Olmo2ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "eos_token_id": 100257,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 4096,
14
+ "model_type": "olmo2",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 32,
18
+ "pad_token_id": 100277,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 500000,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.48.0.dev0",
25
+ "use_cache": true,
26
+ "vocab_size": 100384
27
+ }
checkpoint-1054/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 100257,
4
+ "pad_token_id": 100277,
5
+ "transformers_version": "4.48.0.dev0"
6
+ }
checkpoint-1054/model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d1480335fcfd79184fe631e1b0aa77a59ac348fa5ac329223dcdf46a1bd81bd
3
+ size 4950070472
checkpoint-1054/model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
3
+ size 4991622816
checkpoint-1054/model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
3
+ size 4924546896
checkpoint-1054/model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
3
+ size 4857404928
checkpoint-1054/model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
3
+ size 4857404928
checkpoint-1054/model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a028ac98f31b7584432073229033962115043c4b055b0381c6d75b53761827f3
3
+ size 4614509080
checkpoint-1054/model.safetensors.index.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 29195517952
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
30
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
31
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
32
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
33
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
34
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
42
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
43
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
44
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
45
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
52
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
53
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
54
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
55
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
56
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
63
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
64
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
65
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
66
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
67
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
77
+ "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
85
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
86
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
87
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
88
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
89
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
97
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
98
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
99
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
100
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
108
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
109
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
110
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
111
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
118
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
119
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
120
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
121
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
122
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
129
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
130
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
131
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
132
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
133
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
140
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
141
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
142
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
143
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
144
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
151
+ "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
152
+ "model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
153
+ "model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
154
+ "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
155
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
162
+ "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
163
+ "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
164
+ "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
165
+ "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
166
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
173
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
174
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
175
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
176
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
177
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
184
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
185
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
186
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
187
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
188
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
195
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
196
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
197
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
198
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
199
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
206
+ "model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
207
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
208
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
209
+ "model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
210
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
217
+ "model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
218
+ "model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
219
+ "model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
220
+ "model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
221
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
228
+ "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
229
+ "model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
230
+ "model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
231
+ "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
232
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
239
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
240
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
241
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
242
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
243
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
244
+ "model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
245
+ "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
246
+ "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
247
+ "model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
250
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
251
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
252
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
253
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
254
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
255
+ "model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
256
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
257
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
258
+ "model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
265
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
266
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
269
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
272
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
273
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
274
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
275
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
276
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
277
+ "model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
278
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
279
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
280
+ "model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
283
+ "model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
284
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
285
+ "model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
286
+ "model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
287
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
288
+ "model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
289
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
290
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
291
+ "model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
294
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
295
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
296
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
297
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
298
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
299
+ "model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
300
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
301
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
302
+ "model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
303
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
304
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
305
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
306
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
307
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
308
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
309
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
310
+ "model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
311
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
312
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
313
+ "model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
314
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
315
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
316
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
317
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
318
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
319
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
320
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
321
+ "model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
322
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
323
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
324
+ "model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
325
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
326
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
327
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
328
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
329
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
330
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
331
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
332
+ "model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
333
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
334
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
335
+ "model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
336
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
337
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
338
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
339
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
340
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
341
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
342
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
343
+ "model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
344
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
345
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
346
+ "model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
347
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
348
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
349
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
350
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
351
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
352
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
353
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
354
+ "model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
355
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
356
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
357
+ "model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
358
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
359
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
360
+ "model.norm.weight": "model-00006-of-00006.safetensors"
361
+ }
362
+ }
checkpoint-1054/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b455ac8d50a9d8404fdd36ecd65632a63e8ad8fa71c122823faade099d5c4f36
3
+ size 13055369358
checkpoint-1054/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ff264f99d31b522cc7e2a4eac9d38606d0c58a34c0adc74d71e0ca8b371dc36
3
+ size 14244
checkpoint-1054/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fc23b7ea1627a8ce887ca6d1916045e948746b712746e84e85c5585c1ef54898
3
+ size 1064
checkpoint-1054/trainer_state.json ADDED
@@ -0,0 +1,3722 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1054,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.003795066413662239,
13
+ "grad_norm": 98.7540512084961,
14
+ "learning_rate": 3.7735849056603773e-06,
15
+ "loss": 14.2228,
16
+ "step": 2
17
+ },
18
+ {
19
+ "epoch": 0.007590132827324478,
20
+ "grad_norm": 99.5528564453125,
21
+ "learning_rate": 7.547169811320755e-06,
22
+ "loss": 13.3495,
23
+ "step": 4
24
+ },
25
+ {
26
+ "epoch": 0.011385199240986717,
27
+ "grad_norm": 83.69811248779297,
28
+ "learning_rate": 1.1320754716981132e-05,
29
+ "loss": 12.5304,
30
+ "step": 6
31
+ },
32
+ {
33
+ "epoch": 0.015180265654648957,
34
+ "grad_norm": 47.37470626831055,
35
+ "learning_rate": 1.509433962264151e-05,
36
+ "loss": 9.4493,
37
+ "step": 8
38
+ },
39
+ {
40
+ "epoch": 0.018975332068311195,
41
+ "grad_norm": 31.21275520324707,
42
+ "learning_rate": 1.8867924528301888e-05,
43
+ "loss": 8.0006,
44
+ "step": 10
45
+ },
46
+ {
47
+ "epoch": 0.022770398481973434,
48
+ "grad_norm": 15.287549018859863,
49
+ "learning_rate": 2.2641509433962265e-05,
50
+ "loss": 6.4803,
51
+ "step": 12
52
+ },
53
+ {
54
+ "epoch": 0.026565464895635674,
55
+ "grad_norm": 50.968772888183594,
56
+ "learning_rate": 2.641509433962264e-05,
57
+ "loss": 6.7702,
58
+ "step": 14
59
+ },
60
+ {
61
+ "epoch": 0.030360531309297913,
62
+ "grad_norm": 28.34760856628418,
63
+ "learning_rate": 3.018867924528302e-05,
64
+ "loss": 6.2775,
65
+ "step": 16
66
+ },
67
+ {
68
+ "epoch": 0.03415559772296015,
69
+ "grad_norm": 24.7742862701416,
70
+ "learning_rate": 3.39622641509434e-05,
71
+ "loss": 5.9268,
72
+ "step": 18
73
+ },
74
+ {
75
+ "epoch": 0.03795066413662239,
76
+ "grad_norm": 62.243553161621094,
77
+ "learning_rate": 3.7735849056603776e-05,
78
+ "loss": 5.4478,
79
+ "step": 20
80
+ },
81
+ {
82
+ "epoch": 0.04174573055028463,
83
+ "grad_norm": 20.099931716918945,
84
+ "learning_rate": 4.150943396226415e-05,
85
+ "loss": 5.2172,
86
+ "step": 22
87
+ },
88
+ {
89
+ "epoch": 0.04554079696394687,
90
+ "grad_norm": 14.098124504089355,
91
+ "learning_rate": 4.528301886792453e-05,
92
+ "loss": 4.9133,
93
+ "step": 24
94
+ },
95
+ {
96
+ "epoch": 0.04933586337760911,
97
+ "grad_norm": 7.112690448760986,
98
+ "learning_rate": 4.9056603773584906e-05,
99
+ "loss": 4.7982,
100
+ "step": 26
101
+ },
102
+ {
103
+ "epoch": 0.05313092979127135,
104
+ "grad_norm": 13.210295677185059,
105
+ "learning_rate": 5.283018867924528e-05,
106
+ "loss": 4.7099,
107
+ "step": 28
108
+ },
109
+ {
110
+ "epoch": 0.056925996204933584,
111
+ "grad_norm": 68.6553726196289,
112
+ "learning_rate": 5.660377358490566e-05,
113
+ "loss": 4.3044,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.06072106261859583,
118
+ "grad_norm": 7.807187557220459,
119
+ "learning_rate": 6.037735849056604e-05,
120
+ "loss": 4.2902,
121
+ "step": 32
122
+ },
123
+ {
124
+ "epoch": 0.06451612903225806,
125
+ "grad_norm": 24.964153289794922,
126
+ "learning_rate": 6.415094339622641e-05,
127
+ "loss": 4.0632,
128
+ "step": 34
129
+ },
130
+ {
131
+ "epoch": 0.0683111954459203,
132
+ "grad_norm": 5.0253095626831055,
133
+ "learning_rate": 6.79245283018868e-05,
134
+ "loss": 4.0919,
135
+ "step": 36
136
+ },
137
+ {
138
+ "epoch": 0.07210626185958255,
139
+ "grad_norm": 10.098166465759277,
140
+ "learning_rate": 7.169811320754717e-05,
141
+ "loss": 3.9745,
142
+ "step": 38
143
+ },
144
+ {
145
+ "epoch": 0.07590132827324478,
146
+ "grad_norm": 6.226728439331055,
147
+ "learning_rate": 7.547169811320755e-05,
148
+ "loss": 4.0257,
149
+ "step": 40
150
+ },
151
+ {
152
+ "epoch": 0.07969639468690702,
153
+ "grad_norm": 9.49015998840332,
154
+ "learning_rate": 7.924528301886794e-05,
155
+ "loss": 3.6716,
156
+ "step": 42
157
+ },
158
+ {
159
+ "epoch": 0.08349146110056926,
160
+ "grad_norm": 8.414839744567871,
161
+ "learning_rate": 8.30188679245283e-05,
162
+ "loss": 3.8115,
163
+ "step": 44
164
+ },
165
+ {
166
+ "epoch": 0.0872865275142315,
167
+ "grad_norm": 7.90946102142334,
168
+ "learning_rate": 8.679245283018869e-05,
169
+ "loss": 3.8998,
170
+ "step": 46
171
+ },
172
+ {
173
+ "epoch": 0.09108159392789374,
174
+ "grad_norm": 6.811845302581787,
175
+ "learning_rate": 9.056603773584906e-05,
176
+ "loss": 3.72,
177
+ "step": 48
178
+ },
179
+ {
180
+ "epoch": 0.09487666034155598,
181
+ "grad_norm": 8.63953971862793,
182
+ "learning_rate": 9.433962264150944e-05,
183
+ "loss": 3.8366,
184
+ "step": 50
185
+ },
186
+ {
187
+ "epoch": 0.09867172675521822,
188
+ "grad_norm": 5.25341272354126,
189
+ "learning_rate": 9.811320754716981e-05,
190
+ "loss": 3.6955,
191
+ "step": 52
192
+ },
193
+ {
194
+ "epoch": 0.10246679316888045,
195
+ "grad_norm": 6.284265041351318,
196
+ "learning_rate": 9.999975375283309e-05,
197
+ "loss": 3.5963,
198
+ "step": 54
199
+ },
200
+ {
201
+ "epoch": 0.1062618595825427,
202
+ "grad_norm": 8.026937484741211,
203
+ "learning_rate": 9.999778379005078e-05,
204
+ "loss": 3.668,
205
+ "step": 56
206
+ },
207
+ {
208
+ "epoch": 0.11005692599620494,
209
+ "grad_norm": 9.422395706176758,
210
+ "learning_rate": 9.99938439421016e-05,
211
+ "loss": 3.6292,
212
+ "step": 58
213
+ },
214
+ {
215
+ "epoch": 0.11385199240986717,
216
+ "grad_norm": 3.755744695663452,
217
+ "learning_rate": 9.99879343642134e-05,
218
+ "loss": 3.5123,
219
+ "step": 60
220
+ },
221
+ {
222
+ "epoch": 0.11764705882352941,
223
+ "grad_norm": 8.59239387512207,
224
+ "learning_rate": 9.99800552892203e-05,
225
+ "loss": 3.5657,
226
+ "step": 62
227
+ },
228
+ {
229
+ "epoch": 0.12144212523719165,
230
+ "grad_norm": 6.495412826538086,
231
+ "learning_rate": 9.997020702755353e-05,
232
+ "loss": 3.4943,
233
+ "step": 64
234
+ },
235
+ {
236
+ "epoch": 0.1252371916508539,
237
+ "grad_norm": 4.058749675750732,
238
+ "learning_rate": 9.995838996722914e-05,
239
+ "loss": 3.3784,
240
+ "step": 66
241
+ },
242
+ {
243
+ "epoch": 0.12903225806451613,
244
+ "grad_norm": 5.1243696212768555,
245
+ "learning_rate": 9.994460457383284e-05,
246
+ "loss": 3.5299,
247
+ "step": 68
248
+ },
249
+ {
250
+ "epoch": 0.13282732447817835,
251
+ "grad_norm": 3.1002564430236816,
252
+ "learning_rate": 9.992885139050154e-05,
253
+ "loss": 3.233,
254
+ "step": 70
255
+ },
256
+ {
257
+ "epoch": 0.1366223908918406,
258
+ "grad_norm": 9.574880599975586,
259
+ "learning_rate": 9.991113103790198e-05,
260
+ "loss": 3.3179,
261
+ "step": 72
262
+ },
263
+ {
264
+ "epoch": 0.14041745730550284,
265
+ "grad_norm": 4.202469825744629,
266
+ "learning_rate": 9.98914442142063e-05,
267
+ "loss": 3.2057,
268
+ "step": 74
269
+ },
270
+ {
271
+ "epoch": 0.1442125237191651,
272
+ "grad_norm": 9.224685668945312,
273
+ "learning_rate": 9.986979169506453e-05,
274
+ "loss": 3.2404,
275
+ "step": 76
276
+ },
277
+ {
278
+ "epoch": 0.14800759013282733,
279
+ "grad_norm": 6.027818202972412,
280
+ "learning_rate": 9.9846174333574e-05,
281
+ "loss": 3.3198,
282
+ "step": 78
283
+ },
284
+ {
285
+ "epoch": 0.15180265654648956,
286
+ "grad_norm": 5.427716255187988,
287
+ "learning_rate": 9.982059306024577e-05,
288
+ "loss": 3.2348,
289
+ "step": 80
290
+ },
291
+ {
292
+ "epoch": 0.1555977229601518,
293
+ "grad_norm": 3.3449645042419434,
294
+ "learning_rate": 9.979304888296792e-05,
295
+ "loss": 3.1103,
296
+ "step": 82
297
+ },
298
+ {
299
+ "epoch": 0.15939278937381404,
300
+ "grad_norm": 3.7018656730651855,
301
+ "learning_rate": 9.976354288696588e-05,
302
+ "loss": 3.0045,
303
+ "step": 84
304
+ },
305
+ {
306
+ "epoch": 0.16318785578747627,
307
+ "grad_norm": 3.1451151371002197,
308
+ "learning_rate": 9.973207623475965e-05,
309
+ "loss": 3.2071,
310
+ "step": 86
311
+ },
312
+ {
313
+ "epoch": 0.16698292220113853,
314
+ "grad_norm": 3.133887529373169,
315
+ "learning_rate": 9.9698650166118e-05,
316
+ "loss": 3.0677,
317
+ "step": 88
318
+ },
319
+ {
320
+ "epoch": 0.17077798861480076,
321
+ "grad_norm": 5.542338848114014,
322
+ "learning_rate": 9.966326599800967e-05,
323
+ "loss": 3.0122,
324
+ "step": 90
325
+ },
326
+ {
327
+ "epoch": 0.174573055028463,
328
+ "grad_norm": 3.292200803756714,
329
+ "learning_rate": 9.962592512455138e-05,
330
+ "loss": 2.9215,
331
+ "step": 92
332
+ },
333
+ {
334
+ "epoch": 0.17836812144212524,
335
+ "grad_norm": 3.4283339977264404,
336
+ "learning_rate": 9.958662901695303e-05,
337
+ "loss": 2.9141,
338
+ "step": 94
339
+ },
340
+ {
341
+ "epoch": 0.18216318785578747,
342
+ "grad_norm": 3.9418880939483643,
343
+ "learning_rate": 9.954537922345961e-05,
344
+ "loss": 2.7547,
345
+ "step": 96
346
+ },
347
+ {
348
+ "epoch": 0.1859582542694497,
349
+ "grad_norm": 3.3023762702941895,
350
+ "learning_rate": 9.950217736929029e-05,
351
+ "loss": 2.8594,
352
+ "step": 98
353
+ },
354
+ {
355
+ "epoch": 0.18975332068311196,
356
+ "grad_norm": 3.1366522312164307,
357
+ "learning_rate": 9.945702515657434e-05,
358
+ "loss": 2.8524,
359
+ "step": 100
360
+ },
361
+ {
362
+ "epoch": 0.1935483870967742,
363
+ "grad_norm": 2.613105535507202,
364
+ "learning_rate": 9.940992436428409e-05,
365
+ "loss": 2.8663,
366
+ "step": 102
367
+ },
368
+ {
369
+ "epoch": 0.19734345351043645,
370
+ "grad_norm": 5.562861442565918,
371
+ "learning_rate": 9.936087684816486e-05,
372
+ "loss": 3.1047,
373
+ "step": 104
374
+ },
375
+ {
376
+ "epoch": 0.20113851992409867,
377
+ "grad_norm": 4.076806545257568,
378
+ "learning_rate": 9.930988454066177e-05,
379
+ "loss": 2.7816,
380
+ "step": 106
381
+ },
382
+ {
383
+ "epoch": 0.2049335863377609,
384
+ "grad_norm": 2.7189831733703613,
385
+ "learning_rate": 9.92569494508437e-05,
386
+ "loss": 2.8001,
387
+ "step": 108
388
+ },
389
+ {
390
+ "epoch": 0.20872865275142316,
391
+ "grad_norm": 4.94251012802124,
392
+ "learning_rate": 9.920207366432402e-05,
393
+ "loss": 2.7223,
394
+ "step": 110
395
+ },
396
+ {
397
+ "epoch": 0.2125237191650854,
398
+ "grad_norm": 2.9818546772003174,
399
+ "learning_rate": 9.914525934317855e-05,
400
+ "loss": 2.8046,
401
+ "step": 112
402
+ },
403
+ {
404
+ "epoch": 0.21631878557874762,
405
+ "grad_norm": 3.87678599357605,
406
+ "learning_rate": 9.908650872586029e-05,
407
+ "loss": 2.7476,
408
+ "step": 114
409
+ },
410
+ {
411
+ "epoch": 0.22011385199240988,
412
+ "grad_norm": 2.9942760467529297,
413
+ "learning_rate": 9.90258241271112e-05,
414
+ "loss": 2.6728,
415
+ "step": 116
416
+ },
417
+ {
418
+ "epoch": 0.2239089184060721,
419
+ "grad_norm": 4.912055969238281,
420
+ "learning_rate": 9.896320793787106e-05,
421
+ "loss": 2.6644,
422
+ "step": 118
423
+ },
424
+ {
425
+ "epoch": 0.22770398481973433,
426
+ "grad_norm": 3.1557791233062744,
427
+ "learning_rate": 9.889866262518331e-05,
428
+ "loss": 2.7656,
429
+ "step": 120
430
+ },
431
+ {
432
+ "epoch": 0.2314990512333966,
433
+ "grad_norm": 8.984029769897461,
434
+ "learning_rate": 9.883219073209772e-05,
435
+ "loss": 2.7668,
436
+ "step": 122
437
+ },
438
+ {
439
+ "epoch": 0.23529411764705882,
440
+ "grad_norm": 6.998969078063965,
441
+ "learning_rate": 9.876379487757034e-05,
442
+ "loss": 2.7245,
443
+ "step": 124
444
+ },
445
+ {
446
+ "epoch": 0.23908918406072105,
447
+ "grad_norm": 2.730355978012085,
448
+ "learning_rate": 9.869347775636015e-05,
449
+ "loss": 2.7342,
450
+ "step": 126
451
+ },
452
+ {
453
+ "epoch": 0.2428842504743833,
454
+ "grad_norm": 8.605497360229492,
455
+ "learning_rate": 9.862124213892304e-05,
456
+ "loss": 2.776,
457
+ "step": 128
458
+ },
459
+ {
460
+ "epoch": 0.24667931688804554,
461
+ "grad_norm": 5.028979301452637,
462
+ "learning_rate": 9.85470908713026e-05,
463
+ "loss": 2.722,
464
+ "step": 130
465
+ },
466
+ {
467
+ "epoch": 0.2504743833017078,
468
+ "grad_norm": 3.3529725074768066,
469
+ "learning_rate": 9.847102687501797e-05,
470
+ "loss": 2.7299,
471
+ "step": 132
472
+ },
473
+ {
474
+ "epoch": 0.25426944971537,
475
+ "grad_norm": 4.99077844619751,
476
+ "learning_rate": 9.839305314694873e-05,
477
+ "loss": 2.7569,
478
+ "step": 134
479
+ },
480
+ {
481
+ "epoch": 0.25806451612903225,
482
+ "grad_norm": 5.339693546295166,
483
+ "learning_rate": 9.831317275921685e-05,
484
+ "loss": 2.579,
485
+ "step": 136
486
+ },
487
+ {
488
+ "epoch": 0.2618595825426945,
489
+ "grad_norm": 5.73229455947876,
490
+ "learning_rate": 9.823138885906566e-05,
491
+ "loss": 2.5465,
492
+ "step": 138
493
+ },
494
+ {
495
+ "epoch": 0.2656546489563567,
496
+ "grad_norm": 2.466779947280884,
497
+ "learning_rate": 9.814770466873585e-05,
498
+ "loss": 2.7257,
499
+ "step": 140
500
+ },
501
+ {
502
+ "epoch": 0.269449715370019,
503
+ "grad_norm": 4.790260314941406,
504
+ "learning_rate": 9.806212348533838e-05,
505
+ "loss": 2.545,
506
+ "step": 142
507
+ },
508
+ {
509
+ "epoch": 0.2732447817836812,
510
+ "grad_norm": 4.156448841094971,
511
+ "learning_rate": 9.797464868072488e-05,
512
+ "loss": 2.6578,
513
+ "step": 144
514
+ },
515
+ {
516
+ "epoch": 0.27703984819734345,
517
+ "grad_norm": 2.7191035747528076,
518
+ "learning_rate": 9.788528370135443e-05,
519
+ "loss": 2.5779,
520
+ "step": 146
521
+ },
522
+ {
523
+ "epoch": 0.2808349146110057,
524
+ "grad_norm": 2.6859488487243652,
525
+ "learning_rate": 9.77940320681581e-05,
526
+ "loss": 2.5819,
527
+ "step": 148
528
+ },
529
+ {
530
+ "epoch": 0.2846299810246679,
531
+ "grad_norm": 3.9940454959869385,
532
+ "learning_rate": 9.77008973764e-05,
533
+ "loss": 2.417,
534
+ "step": 150
535
+ },
536
+ {
537
+ "epoch": 0.2884250474383302,
538
+ "grad_norm": 2.97194504737854,
539
+ "learning_rate": 9.760588329553571e-05,
540
+ "loss": 2.4018,
541
+ "step": 152
542
+ },
543
+ {
544
+ "epoch": 0.2922201138519924,
545
+ "grad_norm": 4.698624134063721,
546
+ "learning_rate": 9.750899356906775e-05,
547
+ "loss": 2.5237,
548
+ "step": 154
549
+ },
550
+ {
551
+ "epoch": 0.29601518026565465,
552
+ "grad_norm": 3.8055150508880615,
553
+ "learning_rate": 9.741023201439803e-05,
554
+ "loss": 2.4408,
555
+ "step": 156
556
+ },
557
+ {
558
+ "epoch": 0.2998102466793169,
559
+ "grad_norm": 3.4264442920684814,
560
+ "learning_rate": 9.730960252267743e-05,
561
+ "loss": 2.5248,
562
+ "step": 158
563
+ },
564
+ {
565
+ "epoch": 0.3036053130929791,
566
+ "grad_norm": 2.7180609703063965,
567
+ "learning_rate": 9.720710905865256e-05,
568
+ "loss": 2.4598,
569
+ "step": 160
570
+ },
571
+ {
572
+ "epoch": 0.30740037950664134,
573
+ "grad_norm": 4.305523872375488,
574
+ "learning_rate": 9.710275566050951e-05,
575
+ "loss": 2.5028,
576
+ "step": 162
577
+ },
578
+ {
579
+ "epoch": 0.3111954459203036,
580
+ "grad_norm": 2.756655693054199,
581
+ "learning_rate": 9.699654643971472e-05,
582
+ "loss": 2.5315,
583
+ "step": 164
584
+ },
585
+ {
586
+ "epoch": 0.31499051233396586,
587
+ "grad_norm": 2.449230432510376,
588
+ "learning_rate": 9.688848558085306e-05,
589
+ "loss": 2.3747,
590
+ "step": 166
591
+ },
592
+ {
593
+ "epoch": 0.3187855787476281,
594
+ "grad_norm": 3.7404186725616455,
595
+ "learning_rate": 9.677857734146289e-05,
596
+ "loss": 2.4413,
597
+ "step": 168
598
+ },
599
+ {
600
+ "epoch": 0.3225806451612903,
601
+ "grad_norm": 2.4831082820892334,
602
+ "learning_rate": 9.666682605186835e-05,
603
+ "loss": 2.5693,
604
+ "step": 170
605
+ },
606
+ {
607
+ "epoch": 0.32637571157495254,
608
+ "grad_norm": 3.9603495597839355,
609
+ "learning_rate": 9.655323611500875e-05,
610
+ "loss": 2.603,
611
+ "step": 172
612
+ },
613
+ {
614
+ "epoch": 0.3301707779886148,
615
+ "grad_norm": 2.5853846073150635,
616
+ "learning_rate": 9.643781200626511e-05,
617
+ "loss": 2.3858,
618
+ "step": 174
619
+ },
620
+ {
621
+ "epoch": 0.33396584440227706,
622
+ "grad_norm": 2.5267770290374756,
623
+ "learning_rate": 9.632055827328382e-05,
624
+ "loss": 2.4411,
625
+ "step": 176
626
+ },
627
+ {
628
+ "epoch": 0.3377609108159393,
629
+ "grad_norm": 2.9036340713500977,
630
+ "learning_rate": 9.620147953579737e-05,
631
+ "loss": 2.4533,
632
+ "step": 178
633
+ },
634
+ {
635
+ "epoch": 0.3415559772296015,
636
+ "grad_norm": 2.319636344909668,
637
+ "learning_rate": 9.608058048544251e-05,
638
+ "loss": 2.4877,
639
+ "step": 180
640
+ },
641
+ {
642
+ "epoch": 0.34535104364326374,
643
+ "grad_norm": 3.325531244277954,
644
+ "learning_rate": 9.595786588557532e-05,
645
+ "loss": 2.4027,
646
+ "step": 182
647
+ },
648
+ {
649
+ "epoch": 0.349146110056926,
650
+ "grad_norm": 11.142248153686523,
651
+ "learning_rate": 9.583334057108346e-05,
652
+ "loss": 2.3184,
653
+ "step": 184
654
+ },
655
+ {
656
+ "epoch": 0.35294117647058826,
657
+ "grad_norm": 2.423501968383789,
658
+ "learning_rate": 9.570700944819584e-05,
659
+ "loss": 2.5982,
660
+ "step": 186
661
+ },
662
+ {
663
+ "epoch": 0.3567362428842505,
664
+ "grad_norm": 2.4559223651885986,
665
+ "learning_rate": 9.557887749428913e-05,
666
+ "loss": 2.4276,
667
+ "step": 188
668
+ },
669
+ {
670
+ "epoch": 0.3605313092979127,
671
+ "grad_norm": 2.703495502471924,
672
+ "learning_rate": 9.544894975769186e-05,
673
+ "loss": 2.3763,
674
+ "step": 190
675
+ },
676
+ {
677
+ "epoch": 0.36432637571157495,
678
+ "grad_norm": 1.9051834344863892,
679
+ "learning_rate": 9.531723135748529e-05,
680
+ "loss": 2.3381,
681
+ "step": 192
682
+ },
683
+ {
684
+ "epoch": 0.3681214421252372,
685
+ "grad_norm": 2.33522629737854,
686
+ "learning_rate": 9.518372748330194e-05,
687
+ "loss": 2.3207,
688
+ "step": 194
689
+ },
690
+ {
691
+ "epoch": 0.3719165085388994,
692
+ "grad_norm": 2.3043212890625,
693
+ "learning_rate": 9.504844339512095e-05,
694
+ "loss": 2.2691,
695
+ "step": 196
696
+ },
697
+ {
698
+ "epoch": 0.3757115749525617,
699
+ "grad_norm": 2.3060500621795654,
700
+ "learning_rate": 9.4911384423061e-05,
701
+ "loss": 2.4741,
702
+ "step": 198
703
+ },
704
+ {
705
+ "epoch": 0.3795066413662239,
706
+ "grad_norm": 2.431614398956299,
707
+ "learning_rate": 9.477255596717012e-05,
708
+ "loss": 2.3706,
709
+ "step": 200
710
+ },
711
+ {
712
+ "epoch": 0.38330170777988615,
713
+ "grad_norm": 2.571744918823242,
714
+ "learning_rate": 9.463196349721308e-05,
715
+ "loss": 2.4345,
716
+ "step": 202
717
+ },
718
+ {
719
+ "epoch": 0.3870967741935484,
720
+ "grad_norm": 2.950385332107544,
721
+ "learning_rate": 9.448961255245584e-05,
722
+ "loss": 2.0978,
723
+ "step": 204
724
+ },
725
+ {
726
+ "epoch": 0.3908918406072106,
727
+ "grad_norm": 6.460769176483154,
728
+ "learning_rate": 9.434550874144728e-05,
729
+ "loss": 2.2981,
730
+ "step": 206
731
+ },
732
+ {
733
+ "epoch": 0.3946869070208729,
734
+ "grad_norm": 2.294574022293091,
735
+ "learning_rate": 9.419965774179824e-05,
736
+ "loss": 2.3483,
737
+ "step": 208
738
+ },
739
+ {
740
+ "epoch": 0.3984819734345351,
741
+ "grad_norm": 2.530029296875,
742
+ "learning_rate": 9.405206529995785e-05,
743
+ "loss": 2.4667,
744
+ "step": 210
745
+ },
746
+ {
747
+ "epoch": 0.40227703984819735,
748
+ "grad_norm": 2.0644922256469727,
749
+ "learning_rate": 9.39027372309871e-05,
750
+ "loss": 2.2927,
751
+ "step": 212
752
+ },
753
+ {
754
+ "epoch": 0.4060721062618596,
755
+ "grad_norm": 2.369694948196411,
756
+ "learning_rate": 9.375167941832973e-05,
757
+ "loss": 2.4687,
758
+ "step": 214
759
+ },
760
+ {
761
+ "epoch": 0.4098671726755218,
762
+ "grad_norm": 2.3800711631774902,
763
+ "learning_rate": 9.359889781358042e-05,
764
+ "loss": 2.3473,
765
+ "step": 216
766
+ },
767
+ {
768
+ "epoch": 0.41366223908918404,
769
+ "grad_norm": 2.2723309993743896,
770
+ "learning_rate": 9.344439843625034e-05,
771
+ "loss": 2.4378,
772
+ "step": 218
773
+ },
774
+ {
775
+ "epoch": 0.4174573055028463,
776
+ "grad_norm": 2.2413368225097656,
777
+ "learning_rate": 9.32881873735299e-05,
778
+ "loss": 2.391,
779
+ "step": 220
780
+ },
781
+ {
782
+ "epoch": 0.42125237191650855,
783
+ "grad_norm": 2.273754596710205,
784
+ "learning_rate": 9.313027078004903e-05,
785
+ "loss": 2.2899,
786
+ "step": 222
787
+ },
788
+ {
789
+ "epoch": 0.4250474383301708,
790
+ "grad_norm": 2.2374515533447266,
791
+ "learning_rate": 9.297065487763462e-05,
792
+ "loss": 2.3854,
793
+ "step": 224
794
+ },
795
+ {
796
+ "epoch": 0.428842504743833,
797
+ "grad_norm": 1.9647648334503174,
798
+ "learning_rate": 9.280934595506536e-05,
799
+ "loss": 2.1885,
800
+ "step": 226
801
+ },
802
+ {
803
+ "epoch": 0.43263757115749524,
804
+ "grad_norm": 2.4773480892181396,
805
+ "learning_rate": 9.264635036782405e-05,
806
+ "loss": 2.1969,
807
+ "step": 228
808
+ },
809
+ {
810
+ "epoch": 0.4364326375711575,
811
+ "grad_norm": 4.396137237548828,
812
+ "learning_rate": 9.248167453784711e-05,
813
+ "loss": 2.2705,
814
+ "step": 230
815
+ },
816
+ {
817
+ "epoch": 0.44022770398481975,
818
+ "grad_norm": 2.6246371269226074,
819
+ "learning_rate": 9.231532495327165e-05,
820
+ "loss": 2.3367,
821
+ "step": 232
822
+ },
823
+ {
824
+ "epoch": 0.444022770398482,
825
+ "grad_norm": 2.36479115486145,
826
+ "learning_rate": 9.21473081681797e-05,
827
+ "loss": 2.4254,
828
+ "step": 234
829
+ },
830
+ {
831
+ "epoch": 0.4478178368121442,
832
+ "grad_norm": 2.2640645503997803,
833
+ "learning_rate": 9.197763080234019e-05,
834
+ "loss": 2.198,
835
+ "step": 236
836
+ },
837
+ {
838
+ "epoch": 0.45161290322580644,
839
+ "grad_norm": 2.6508326530456543,
840
+ "learning_rate": 9.180629954094792e-05,
841
+ "loss": 2.253,
842
+ "step": 238
843
+ },
844
+ {
845
+ "epoch": 0.45540796963946867,
846
+ "grad_norm": 3.5617713928222656,
847
+ "learning_rate": 9.163332113436032e-05,
848
+ "loss": 2.1892,
849
+ "step": 240
850
+ },
851
+ {
852
+ "epoch": 0.45920303605313095,
853
+ "grad_norm": 2.4162395000457764,
854
+ "learning_rate": 9.145870239783142e-05,
855
+ "loss": 2.3496,
856
+ "step": 242
857
+ },
858
+ {
859
+ "epoch": 0.4629981024667932,
860
+ "grad_norm": 3.857107162475586,
861
+ "learning_rate": 9.128245021124334e-05,
862
+ "loss": 2.364,
863
+ "step": 244
864
+ },
865
+ {
866
+ "epoch": 0.4667931688804554,
867
+ "grad_norm": 2.012956142425537,
868
+ "learning_rate": 9.110457151883523e-05,
869
+ "loss": 2.2571,
870
+ "step": 246
871
+ },
872
+ {
873
+ "epoch": 0.47058823529411764,
874
+ "grad_norm": 1.9764139652252197,
875
+ "learning_rate": 9.092507332892968e-05,
876
+ "loss": 2.2254,
877
+ "step": 248
878
+ },
879
+ {
880
+ "epoch": 0.47438330170777987,
881
+ "grad_norm": 1.8924527168273926,
882
+ "learning_rate": 9.07439627136566e-05,
883
+ "loss": 2.1948,
884
+ "step": 250
885
+ },
886
+ {
887
+ "epoch": 0.4781783681214421,
888
+ "grad_norm": 2.961359739303589,
889
+ "learning_rate": 9.056124680867457e-05,
890
+ "loss": 2.1587,
891
+ "step": 252
892
+ },
893
+ {
894
+ "epoch": 0.4819734345351044,
895
+ "grad_norm": 2.010711193084717,
896
+ "learning_rate": 9.037693281288969e-05,
897
+ "loss": 2.3077,
898
+ "step": 254
899
+ },
900
+ {
901
+ "epoch": 0.4857685009487666,
902
+ "grad_norm": 2.0528528690338135,
903
+ "learning_rate": 9.019102798817197e-05,
904
+ "loss": 2.2348,
905
+ "step": 256
906
+ },
907
+ {
908
+ "epoch": 0.48956356736242884,
909
+ "grad_norm": 3.3071796894073486,
910
+ "learning_rate": 9.000353965906917e-05,
911
+ "loss": 2.3238,
912
+ "step": 258
913
+ },
914
+ {
915
+ "epoch": 0.49335863377609107,
916
+ "grad_norm": 2.2678682804107666,
917
+ "learning_rate": 8.981447521251831e-05,
918
+ "loss": 2.2368,
919
+ "step": 260
920
+ },
921
+ {
922
+ "epoch": 0.4971537001897533,
923
+ "grad_norm": 2.4855003356933594,
924
+ "learning_rate": 8.962384209755452e-05,
925
+ "loss": 2.0563,
926
+ "step": 262
927
+ },
928
+ {
929
+ "epoch": 0.5009487666034156,
930
+ "grad_norm": 2.1087934970855713,
931
+ "learning_rate": 8.943164782501765e-05,
932
+ "loss": 2.2727,
933
+ "step": 264
934
+ },
935
+ {
936
+ "epoch": 0.5047438330170778,
937
+ "grad_norm": 2.3885719776153564,
938
+ "learning_rate": 8.923789996725624e-05,
939
+ "loss": 2.2086,
940
+ "step": 266
941
+ },
942
+ {
943
+ "epoch": 0.50853889943074,
944
+ "grad_norm": 3.1673200130462646,
945
+ "learning_rate": 8.904260615782927e-05,
946
+ "loss": 2.1385,
947
+ "step": 268
948
+ },
949
+ {
950
+ "epoch": 0.5123339658444023,
951
+ "grad_norm": 2.06791353225708,
952
+ "learning_rate": 8.884577409120535e-05,
953
+ "loss": 2.2336,
954
+ "step": 270
955
+ },
956
+ {
957
+ "epoch": 0.5161290322580645,
958
+ "grad_norm": 2.3750381469726562,
959
+ "learning_rate": 8.864741152245963e-05,
960
+ "loss": 2.1569,
961
+ "step": 272
962
+ },
963
+ {
964
+ "epoch": 0.5199240986717267,
965
+ "grad_norm": 2.1411375999450684,
966
+ "learning_rate": 8.84475262669681e-05,
967
+ "loss": 2.2936,
968
+ "step": 274
969
+ },
970
+ {
971
+ "epoch": 0.523719165085389,
972
+ "grad_norm": 2.0463004112243652,
973
+ "learning_rate": 8.824612620009987e-05,
974
+ "loss": 2.3689,
975
+ "step": 276
976
+ },
977
+ {
978
+ "epoch": 0.5275142314990512,
979
+ "grad_norm": 1.7346696853637695,
980
+ "learning_rate": 8.804321925690672e-05,
981
+ "loss": 2.2445,
982
+ "step": 278
983
+ },
984
+ {
985
+ "epoch": 0.5313092979127134,
986
+ "grad_norm": 2.2764406204223633,
987
+ "learning_rate": 8.783881343181055e-05,
988
+ "loss": 2.1715,
989
+ "step": 280
990
+ },
991
+ {
992
+ "epoch": 0.5351043643263758,
993
+ "grad_norm": 2.2156970500946045,
994
+ "learning_rate": 8.763291677828838e-05,
995
+ "loss": 2.0616,
996
+ "step": 282
997
+ },
998
+ {
999
+ "epoch": 0.538899430740038,
1000
+ "grad_norm": 2.32037091255188,
1001
+ "learning_rate": 8.742553740855506e-05,
1002
+ "loss": 2.2687,
1003
+ "step": 284
1004
+ },
1005
+ {
1006
+ "epoch": 0.5426944971537002,
1007
+ "grad_norm": 1.864304542541504,
1008
+ "learning_rate": 8.721668349324364e-05,
1009
+ "loss": 2.2962,
1010
+ "step": 286
1011
+ },
1012
+ {
1013
+ "epoch": 0.5464895635673624,
1014
+ "grad_norm": 2.056326389312744,
1015
+ "learning_rate": 8.700636326108342e-05,
1016
+ "loss": 2.3313,
1017
+ "step": 288
1018
+ },
1019
+ {
1020
+ "epoch": 0.5502846299810247,
1021
+ "grad_norm": 2.4540798664093018,
1022
+ "learning_rate": 8.679458499857582e-05,
1023
+ "loss": 2.2259,
1024
+ "step": 290
1025
+ },
1026
+ {
1027
+ "epoch": 0.5540796963946869,
1028
+ "grad_norm": 1.975327968597412,
1029
+ "learning_rate": 8.658135704966786e-05,
1030
+ "loss": 2.1908,
1031
+ "step": 292
1032
+ },
1033
+ {
1034
+ "epoch": 0.5578747628083491,
1035
+ "grad_norm": 1.679593801498413,
1036
+ "learning_rate": 8.636668781542336e-05,
1037
+ "loss": 2.1169,
1038
+ "step": 294
1039
+ },
1040
+ {
1041
+ "epoch": 0.5616698292220114,
1042
+ "grad_norm": 1.7750844955444336,
1043
+ "learning_rate": 8.615058575369202e-05,
1044
+ "loss": 2.0965,
1045
+ "step": 296
1046
+ },
1047
+ {
1048
+ "epoch": 0.5654648956356736,
1049
+ "grad_norm": 1.9540330171585083,
1050
+ "learning_rate": 8.593305937877614e-05,
1051
+ "loss": 2.1185,
1052
+ "step": 298
1053
+ },
1054
+ {
1055
+ "epoch": 0.5692599620493358,
1056
+ "grad_norm": 3.0039901733398438,
1057
+ "learning_rate": 8.571411726109519e-05,
1058
+ "loss": 2.2415,
1059
+ "step": 300
1060
+ },
1061
+ {
1062
+ "epoch": 0.573055028462998,
1063
+ "grad_norm": 2.0792276859283447,
1064
+ "learning_rate": 8.549376802684812e-05,
1065
+ "loss": 2.2909,
1066
+ "step": 302
1067
+ },
1068
+ {
1069
+ "epoch": 0.5768500948766604,
1070
+ "grad_norm": 1.9235445261001587,
1071
+ "learning_rate": 8.527202035767349e-05,
1072
+ "loss": 2.2691,
1073
+ "step": 304
1074
+ },
1075
+ {
1076
+ "epoch": 0.5806451612903226,
1077
+ "grad_norm": 1.9486608505249023,
1078
+ "learning_rate": 8.504888299030747e-05,
1079
+ "loss": 2.141,
1080
+ "step": 306
1081
+ },
1082
+ {
1083
+ "epoch": 0.5844402277039848,
1084
+ "grad_norm": 1.959185242652893,
1085
+ "learning_rate": 8.482436471623951e-05,
1086
+ "loss": 2.1965,
1087
+ "step": 308
1088
+ },
1089
+ {
1090
+ "epoch": 0.5882352941176471,
1091
+ "grad_norm": 5.812629699707031,
1092
+ "learning_rate": 8.459847438136605e-05,
1093
+ "loss": 2.012,
1094
+ "step": 310
1095
+ },
1096
+ {
1097
+ "epoch": 0.5920303605313093,
1098
+ "grad_norm": 1.9838637113571167,
1099
+ "learning_rate": 8.437122088564198e-05,
1100
+ "loss": 2.074,
1101
+ "step": 312
1102
+ },
1103
+ {
1104
+ "epoch": 0.5958254269449715,
1105
+ "grad_norm": 1.9467284679412842,
1106
+ "learning_rate": 8.414261318272996e-05,
1107
+ "loss": 2.1882,
1108
+ "step": 314
1109
+ },
1110
+ {
1111
+ "epoch": 0.5996204933586338,
1112
+ "grad_norm": 1.763068675994873,
1113
+ "learning_rate": 8.391266027964771e-05,
1114
+ "loss": 2.2197,
1115
+ "step": 316
1116
+ },
1117
+ {
1118
+ "epoch": 0.603415559772296,
1119
+ "grad_norm": 2.123964309692383,
1120
+ "learning_rate": 8.368137123641302e-05,
1121
+ "loss": 2.1306,
1122
+ "step": 318
1123
+ },
1124
+ {
1125
+ "epoch": 0.6072106261859582,
1126
+ "grad_norm": 1.9844577312469482,
1127
+ "learning_rate": 8.344875516568695e-05,
1128
+ "loss": 2.2215,
1129
+ "step": 320
1130
+ },
1131
+ {
1132
+ "epoch": 0.6110056925996205,
1133
+ "grad_norm": 1.8439053297042847,
1134
+ "learning_rate": 8.321482123241464e-05,
1135
+ "loss": 2.0638,
1136
+ "step": 322
1137
+ },
1138
+ {
1139
+ "epoch": 0.6148007590132827,
1140
+ "grad_norm": 1.7768611907958984,
1141
+ "learning_rate": 8.297957865346437e-05,
1142
+ "loss": 2.0954,
1143
+ "step": 324
1144
+ },
1145
+ {
1146
+ "epoch": 0.618595825426945,
1147
+ "grad_norm": 2.3415918350219727,
1148
+ "learning_rate": 8.274303669726426e-05,
1149
+ "loss": 1.9216,
1150
+ "step": 326
1151
+ },
1152
+ {
1153
+ "epoch": 0.6223908918406073,
1154
+ "grad_norm": 1.9908041954040527,
1155
+ "learning_rate": 8.250520468343722e-05,
1156
+ "loss": 2.1316,
1157
+ "step": 328
1158
+ },
1159
+ {
1160
+ "epoch": 0.6261859582542695,
1161
+ "grad_norm": 1.989737868309021,
1162
+ "learning_rate": 8.226609198243372e-05,
1163
+ "loss": 2.1663,
1164
+ "step": 330
1165
+ },
1166
+ {
1167
+ "epoch": 0.6299810246679317,
1168
+ "grad_norm": 2.194958209991455,
1169
+ "learning_rate": 8.202570801516256e-05,
1170
+ "loss": 2.0314,
1171
+ "step": 332
1172
+ },
1173
+ {
1174
+ "epoch": 0.6337760910815939,
1175
+ "grad_norm": 1.9709926843643188,
1176
+ "learning_rate": 8.178406225261981e-05,
1177
+ "loss": 2.0792,
1178
+ "step": 334
1179
+ },
1180
+ {
1181
+ "epoch": 0.6375711574952562,
1182
+ "grad_norm": 1.8470232486724854,
1183
+ "learning_rate": 8.15411642155155e-05,
1184
+ "loss": 2.0086,
1185
+ "step": 336
1186
+ },
1187
+ {
1188
+ "epoch": 0.6413662239089184,
1189
+ "grad_norm": 1.961173415184021,
1190
+ "learning_rate": 8.129702347389865e-05,
1191
+ "loss": 2.1516,
1192
+ "step": 338
1193
+ },
1194
+ {
1195
+ "epoch": 0.6451612903225806,
1196
+ "grad_norm": 1.9438867568969727,
1197
+ "learning_rate": 8.105164964678009e-05,
1198
+ "loss": 2.3398,
1199
+ "step": 340
1200
+ },
1201
+ {
1202
+ "epoch": 0.6489563567362429,
1203
+ "grad_norm": 1.8040043115615845,
1204
+ "learning_rate": 8.080505240175363e-05,
1205
+ "loss": 2.1578,
1206
+ "step": 342
1207
+ },
1208
+ {
1209
+ "epoch": 0.6527514231499051,
1210
+ "grad_norm": 2.0405383110046387,
1211
+ "learning_rate": 8.055724145461495e-05,
1212
+ "loss": 1.9948,
1213
+ "step": 344
1214
+ },
1215
+ {
1216
+ "epoch": 0.6565464895635673,
1217
+ "grad_norm": 2.0209884643554688,
1218
+ "learning_rate": 8.030822656897902e-05,
1219
+ "loss": 2.1048,
1220
+ "step": 346
1221
+ },
1222
+ {
1223
+ "epoch": 0.6603415559772297,
1224
+ "grad_norm": 1.9259743690490723,
1225
+ "learning_rate": 8.005801755589532e-05,
1226
+ "loss": 1.9457,
1227
+ "step": 348
1228
+ },
1229
+ {
1230
+ "epoch": 0.6641366223908919,
1231
+ "grad_norm": 2.5305731296539307,
1232
+ "learning_rate": 7.980662427346127e-05,
1233
+ "loss": 1.8099,
1234
+ "step": 350
1235
+ },
1236
+ {
1237
+ "epoch": 0.6679316888045541,
1238
+ "grad_norm": 2.0857901573181152,
1239
+ "learning_rate": 7.955405662643384e-05,
1240
+ "loss": 1.8904,
1241
+ "step": 352
1242
+ },
1243
+ {
1244
+ "epoch": 0.6717267552182163,
1245
+ "grad_norm": 2.1652462482452393,
1246
+ "learning_rate": 7.930032456583931e-05,
1247
+ "loss": 2.0716,
1248
+ "step": 354
1249
+ },
1250
+ {
1251
+ "epoch": 0.6755218216318786,
1252
+ "grad_norm": 2.2173564434051514,
1253
+ "learning_rate": 7.904543808858127e-05,
1254
+ "loss": 1.9861,
1255
+ "step": 356
1256
+ },
1257
+ {
1258
+ "epoch": 0.6793168880455408,
1259
+ "grad_norm": 1.7087043523788452,
1260
+ "learning_rate": 7.878940723704664e-05,
1261
+ "loss": 1.9788,
1262
+ "step": 358
1263
+ },
1264
+ {
1265
+ "epoch": 0.683111954459203,
1266
+ "grad_norm": 2.3170816898345947,
1267
+ "learning_rate": 7.853224209871007e-05,
1268
+ "loss": 2.0999,
1269
+ "step": 360
1270
+ },
1271
+ {
1272
+ "epoch": 0.6869070208728653,
1273
+ "grad_norm": 1.8516716957092285,
1274
+ "learning_rate": 7.82739528057365e-05,
1275
+ "loss": 1.9476,
1276
+ "step": 362
1277
+ },
1278
+ {
1279
+ "epoch": 0.6907020872865275,
1280
+ "grad_norm": 1.87705659866333,
1281
+ "learning_rate": 7.801454953458193e-05,
1282
+ "loss": 1.9741,
1283
+ "step": 364
1284
+ },
1285
+ {
1286
+ "epoch": 0.6944971537001897,
1287
+ "grad_norm": 2.0102131366729736,
1288
+ "learning_rate": 7.775404250559249e-05,
1289
+ "loss": 2.2415,
1290
+ "step": 366
1291
+ },
1292
+ {
1293
+ "epoch": 0.698292220113852,
1294
+ "grad_norm": 1.992819905281067,
1295
+ "learning_rate": 7.749244198260175e-05,
1296
+ "loss": 2.0201,
1297
+ "step": 368
1298
+ },
1299
+ {
1300
+ "epoch": 0.7020872865275142,
1301
+ "grad_norm": 2.0950779914855957,
1302
+ "learning_rate": 7.722975827252638e-05,
1303
+ "loss": 2.2209,
1304
+ "step": 370
1305
+ },
1306
+ {
1307
+ "epoch": 0.7058823529411765,
1308
+ "grad_norm": 7.29935884475708,
1309
+ "learning_rate": 7.696600172495997e-05,
1310
+ "loss": 2.0799,
1311
+ "step": 372
1312
+ },
1313
+ {
1314
+ "epoch": 0.7096774193548387,
1315
+ "grad_norm": 1.9377464056015015,
1316
+ "learning_rate": 7.670118273176534e-05,
1317
+ "loss": 2.0681,
1318
+ "step": 374
1319
+ },
1320
+ {
1321
+ "epoch": 0.713472485768501,
1322
+ "grad_norm": 2.465165853500366,
1323
+ "learning_rate": 7.643531172666513e-05,
1324
+ "loss": 2.0705,
1325
+ "step": 376
1326
+ },
1327
+ {
1328
+ "epoch": 0.7172675521821632,
1329
+ "grad_norm": 1.7911758422851562,
1330
+ "learning_rate": 7.616839918483061e-05,
1331
+ "loss": 2.1271,
1332
+ "step": 378
1333
+ },
1334
+ {
1335
+ "epoch": 0.7210626185958254,
1336
+ "grad_norm": 1.8003861904144287,
1337
+ "learning_rate": 7.590045562246902e-05,
1338
+ "loss": 2.0348,
1339
+ "step": 380
1340
+ },
1341
+ {
1342
+ "epoch": 0.7248576850094877,
1343
+ "grad_norm": 1.9686284065246582,
1344
+ "learning_rate": 7.563149159640929e-05,
1345
+ "loss": 2.0137,
1346
+ "step": 382
1347
+ },
1348
+ {
1349
+ "epoch": 0.7286527514231499,
1350
+ "grad_norm": 1.6355502605438232,
1351
+ "learning_rate": 7.5361517703686e-05,
1352
+ "loss": 1.978,
1353
+ "step": 384
1354
+ },
1355
+ {
1356
+ "epoch": 0.7324478178368121,
1357
+ "grad_norm": 1.841895341873169,
1358
+ "learning_rate": 7.509054458112202e-05,
1359
+ "loss": 2.2376,
1360
+ "step": 386
1361
+ },
1362
+ {
1363
+ "epoch": 0.7362428842504743,
1364
+ "grad_norm": 1.7870166301727295,
1365
+ "learning_rate": 7.481858290490917e-05,
1366
+ "loss": 1.9684,
1367
+ "step": 388
1368
+ },
1369
+ {
1370
+ "epoch": 0.7400379506641366,
1371
+ "grad_norm": 1.8254350423812866,
1372
+ "learning_rate": 7.45456433901879e-05,
1373
+ "loss": 2.0589,
1374
+ "step": 390
1375
+ },
1376
+ {
1377
+ "epoch": 0.7438330170777988,
1378
+ "grad_norm": 1.7817878723144531,
1379
+ "learning_rate": 7.427173679062484e-05,
1380
+ "loss": 2.0451,
1381
+ "step": 392
1382
+ },
1383
+ {
1384
+ "epoch": 0.7476280834914611,
1385
+ "grad_norm": 1.9436228275299072,
1386
+ "learning_rate": 7.399687389798933e-05,
1387
+ "loss": 2.1209,
1388
+ "step": 394
1389
+ },
1390
+ {
1391
+ "epoch": 0.7514231499051234,
1392
+ "grad_norm": 1.7727830410003662,
1393
+ "learning_rate": 7.372106554172802e-05,
1394
+ "loss": 1.997,
1395
+ "step": 396
1396
+ },
1397
+ {
1398
+ "epoch": 0.7552182163187856,
1399
+ "grad_norm": 1.7208454608917236,
1400
+ "learning_rate": 7.344432258853841e-05,
1401
+ "loss": 2.0055,
1402
+ "step": 398
1403
+ },
1404
+ {
1405
+ "epoch": 0.7590132827324478,
1406
+ "grad_norm": 1.7357947826385498,
1407
+ "learning_rate": 7.316665594194053e-05,
1408
+ "loss": 2.0916,
1409
+ "step": 400
1410
+ },
1411
+ {
1412
+ "epoch": 0.7628083491461101,
1413
+ "grad_norm": 1.5990426540374756,
1414
+ "learning_rate": 7.288807654184747e-05,
1415
+ "loss": 2.0385,
1416
+ "step": 402
1417
+ },
1418
+ {
1419
+ "epoch": 0.7666034155597723,
1420
+ "grad_norm": 1.6348865032196045,
1421
+ "learning_rate": 7.260859536413429e-05,
1422
+ "loss": 2.0467,
1423
+ "step": 404
1424
+ },
1425
+ {
1426
+ "epoch": 0.7703984819734345,
1427
+ "grad_norm": 1.546189785003662,
1428
+ "learning_rate": 7.232822342020557e-05,
1429
+ "loss": 1.8996,
1430
+ "step": 406
1431
+ },
1432
+ {
1433
+ "epoch": 0.7741935483870968,
1434
+ "grad_norm": 1.7460343837738037,
1435
+ "learning_rate": 7.204697175656165e-05,
1436
+ "loss": 2.1052,
1437
+ "step": 408
1438
+ },
1439
+ {
1440
+ "epoch": 0.777988614800759,
1441
+ "grad_norm": 1.6906976699829102,
1442
+ "learning_rate": 7.176485145436325e-05,
1443
+ "loss": 2.0588,
1444
+ "step": 410
1445
+ },
1446
+ {
1447
+ "epoch": 0.7817836812144212,
1448
+ "grad_norm": 1.9893949031829834,
1449
+ "learning_rate": 7.148187362899505e-05,
1450
+ "loss": 2.0776,
1451
+ "step": 412
1452
+ },
1453
+ {
1454
+ "epoch": 0.7855787476280834,
1455
+ "grad_norm": 1.6658051013946533,
1456
+ "learning_rate": 7.119804942962762e-05,
1457
+ "loss": 1.8487,
1458
+ "step": 414
1459
+ },
1460
+ {
1461
+ "epoch": 0.7893738140417458,
1462
+ "grad_norm": 1.7261987924575806,
1463
+ "learning_rate": 7.091339003877826e-05,
1464
+ "loss": 2.0895,
1465
+ "step": 416
1466
+ },
1467
+ {
1468
+ "epoch": 0.793168880455408,
1469
+ "grad_norm": 1.6543688774108887,
1470
+ "learning_rate": 7.062790667187029e-05,
1471
+ "loss": 1.9453,
1472
+ "step": 418
1473
+ },
1474
+ {
1475
+ "epoch": 0.7969639468690702,
1476
+ "grad_norm": 1.6983455419540405,
1477
+ "learning_rate": 7.034161057679127e-05,
1478
+ "loss": 1.9985,
1479
+ "step": 420
1480
+ },
1481
+ {
1482
+ "epoch": 0.8007590132827325,
1483
+ "grad_norm": 1.6611037254333496,
1484
+ "learning_rate": 7.005451303344979e-05,
1485
+ "loss": 1.9633,
1486
+ "step": 422
1487
+ },
1488
+ {
1489
+ "epoch": 0.8045540796963947,
1490
+ "grad_norm": 1.979058861732483,
1491
+ "learning_rate": 6.976662535333107e-05,
1492
+ "loss": 1.8833,
1493
+ "step": 424
1494
+ },
1495
+ {
1496
+ "epoch": 0.8083491461100569,
1497
+ "grad_norm": 2.006376266479492,
1498
+ "learning_rate": 6.947795887905127e-05,
1499
+ "loss": 1.8475,
1500
+ "step": 426
1501
+ },
1502
+ {
1503
+ "epoch": 0.8121442125237192,
1504
+ "grad_norm": 1.8918062448501587,
1505
+ "learning_rate": 6.918852498391063e-05,
1506
+ "loss": 1.9098,
1507
+ "step": 428
1508
+ },
1509
+ {
1510
+ "epoch": 0.8159392789373814,
1511
+ "grad_norm": 1.933212161064148,
1512
+ "learning_rate": 6.889833507144532e-05,
1513
+ "loss": 2.1358,
1514
+ "step": 430
1515
+ },
1516
+ {
1517
+ "epoch": 0.8197343453510436,
1518
+ "grad_norm": 1.8028526306152344,
1519
+ "learning_rate": 6.860740057497823e-05,
1520
+ "loss": 1.9799,
1521
+ "step": 432
1522
+ },
1523
+ {
1524
+ "epoch": 0.8235294117647058,
1525
+ "grad_norm": 2.174152374267578,
1526
+ "learning_rate": 6.831573295716837e-05,
1527
+ "loss": 2.0668,
1528
+ "step": 434
1529
+ },
1530
+ {
1531
+ "epoch": 0.8273244781783681,
1532
+ "grad_norm": 2.581892728805542,
1533
+ "learning_rate": 6.802334370955941e-05,
1534
+ "loss": 1.9118,
1535
+ "step": 436
1536
+ },
1537
+ {
1538
+ "epoch": 0.8311195445920304,
1539
+ "grad_norm": 1.7758573293685913,
1540
+ "learning_rate": 6.773024435212678e-05,
1541
+ "loss": 2.0122,
1542
+ "step": 438
1543
+ },
1544
+ {
1545
+ "epoch": 0.8349146110056926,
1546
+ "grad_norm": 1.7795305252075195,
1547
+ "learning_rate": 6.743644643282388e-05,
1548
+ "loss": 2.1017,
1549
+ "step": 440
1550
+ },
1551
+ {
1552
+ "epoch": 0.8387096774193549,
1553
+ "grad_norm": 1.9165265560150146,
1554
+ "learning_rate": 6.714196152712704e-05,
1555
+ "loss": 2.1366,
1556
+ "step": 442
1557
+ },
1558
+ {
1559
+ "epoch": 0.8425047438330171,
1560
+ "grad_norm": 3.430307149887085,
1561
+ "learning_rate": 6.684680123757949e-05,
1562
+ "loss": 1.9484,
1563
+ "step": 444
1564
+ },
1565
+ {
1566
+ "epoch": 0.8462998102466793,
1567
+ "grad_norm": 1.6847901344299316,
1568
+ "learning_rate": 6.65509771933342e-05,
1569
+ "loss": 1.8189,
1570
+ "step": 446
1571
+ },
1572
+ {
1573
+ "epoch": 0.8500948766603416,
1574
+ "grad_norm": 1.6464290618896484,
1575
+ "learning_rate": 6.625450104969572e-05,
1576
+ "loss": 1.9903,
1577
+ "step": 448
1578
+ },
1579
+ {
1580
+ "epoch": 0.8538899430740038,
1581
+ "grad_norm": 1.7267745733261108,
1582
+ "learning_rate": 6.595738448766095e-05,
1583
+ "loss": 1.9767,
1584
+ "step": 450
1585
+ },
1586
+ {
1587
+ "epoch": 0.857685009487666,
1588
+ "grad_norm": 1.9262585639953613,
1589
+ "learning_rate": 6.565963921345895e-05,
1590
+ "loss": 1.9669,
1591
+ "step": 452
1592
+ },
1593
+ {
1594
+ "epoch": 0.8614800759013282,
1595
+ "grad_norm": 1.6643258333206177,
1596
+ "learning_rate": 6.536127695808964e-05,
1597
+ "loss": 1.9634,
1598
+ "step": 454
1599
+ },
1600
+ {
1601
+ "epoch": 0.8652751423149905,
1602
+ "grad_norm": 1.577966332435608,
1603
+ "learning_rate": 6.506230947686172e-05,
1604
+ "loss": 1.8958,
1605
+ "step": 456
1606
+ },
1607
+ {
1608
+ "epoch": 0.8690702087286527,
1609
+ "grad_norm": 2.840637683868408,
1610
+ "learning_rate": 6.47627485489294e-05,
1611
+ "loss": 2.0766,
1612
+ "step": 458
1613
+ },
1614
+ {
1615
+ "epoch": 0.872865275142315,
1616
+ "grad_norm": 1.7307078838348389,
1617
+ "learning_rate": 6.446260597682839e-05,
1618
+ "loss": 1.846,
1619
+ "step": 460
1620
+ },
1621
+ {
1622
+ "epoch": 0.8766603415559773,
1623
+ "grad_norm": 1.7440413236618042,
1624
+ "learning_rate": 6.416189358601088e-05,
1625
+ "loss": 1.8265,
1626
+ "step": 462
1627
+ },
1628
+ {
1629
+ "epoch": 0.8804554079696395,
1630
+ "grad_norm": 1.5109995603561401,
1631
+ "learning_rate": 6.386062322437954e-05,
1632
+ "loss": 1.8226,
1633
+ "step": 464
1634
+ },
1635
+ {
1636
+ "epoch": 0.8842504743833017,
1637
+ "grad_norm": 1.671194076538086,
1638
+ "learning_rate": 6.355880676182086e-05,
1639
+ "loss": 2.038,
1640
+ "step": 466
1641
+ },
1642
+ {
1643
+ "epoch": 0.888045540796964,
1644
+ "grad_norm": 1.5358309745788574,
1645
+ "learning_rate": 6.325645608973735e-05,
1646
+ "loss": 1.9325,
1647
+ "step": 468
1648
+ },
1649
+ {
1650
+ "epoch": 0.8918406072106262,
1651
+ "grad_norm": 1.6306613683700562,
1652
+ "learning_rate": 6.295358312057914e-05,
1653
+ "loss": 1.9589,
1654
+ "step": 470
1655
+ },
1656
+ {
1657
+ "epoch": 0.8956356736242884,
1658
+ "grad_norm": 1.5553851127624512,
1659
+ "learning_rate": 6.26501997873745e-05,
1660
+ "loss": 1.8156,
1661
+ "step": 472
1662
+ },
1663
+ {
1664
+ "epoch": 0.8994307400379506,
1665
+ "grad_norm": 1.6885318756103516,
1666
+ "learning_rate": 6.234631804325981e-05,
1667
+ "loss": 1.9792,
1668
+ "step": 474
1669
+ },
1670
+ {
1671
+ "epoch": 0.9032258064516129,
1672
+ "grad_norm": 5.679869651794434,
1673
+ "learning_rate": 6.204194986100857e-05,
1674
+ "loss": 1.9165,
1675
+ "step": 476
1676
+ },
1677
+ {
1678
+ "epoch": 0.9070208728652751,
1679
+ "grad_norm": 1.6526105403900146,
1680
+ "learning_rate": 6.173710723255966e-05,
1681
+ "loss": 2.0554,
1682
+ "step": 478
1683
+ },
1684
+ {
1685
+ "epoch": 0.9108159392789373,
1686
+ "grad_norm": 1.577702283859253,
1687
+ "learning_rate": 6.143180216854487e-05,
1688
+ "loss": 1.7735,
1689
+ "step": 480
1690
+ },
1691
+ {
1692
+ "epoch": 0.9146110056925996,
1693
+ "grad_norm": 2.24104380607605,
1694
+ "learning_rate": 6.112604669781572e-05,
1695
+ "loss": 1.9426,
1696
+ "step": 482
1697
+ },
1698
+ {
1699
+ "epoch": 0.9184060721062619,
1700
+ "grad_norm": 1.5590384006500244,
1701
+ "learning_rate": 6.081985286696949e-05,
1702
+ "loss": 2.0698,
1703
+ "step": 484
1704
+ },
1705
+ {
1706
+ "epoch": 0.9222011385199241,
1707
+ "grad_norm": 1.7752505540847778,
1708
+ "learning_rate": 6.051323273987463e-05,
1709
+ "loss": 1.889,
1710
+ "step": 486
1711
+ },
1712
+ {
1713
+ "epoch": 0.9259962049335864,
1714
+ "grad_norm": 1.7600066661834717,
1715
+ "learning_rate": 6.020619839719538e-05,
1716
+ "loss": 1.9693,
1717
+ "step": 488
1718
+ },
1719
+ {
1720
+ "epoch": 0.9297912713472486,
1721
+ "grad_norm": 1.5522412061691284,
1722
+ "learning_rate": 5.989876193591589e-05,
1723
+ "loss": 1.9813,
1724
+ "step": 490
1725
+ },
1726
+ {
1727
+ "epoch": 0.9335863377609108,
1728
+ "grad_norm": 2.223928213119507,
1729
+ "learning_rate": 5.959093546886356e-05,
1730
+ "loss": 1.954,
1731
+ "step": 492
1732
+ },
1733
+ {
1734
+ "epoch": 0.937381404174573,
1735
+ "grad_norm": 2.466945171356201,
1736
+ "learning_rate": 5.928273112423177e-05,
1737
+ "loss": 1.7863,
1738
+ "step": 494
1739
+ },
1740
+ {
1741
+ "epoch": 0.9411764705882353,
1742
+ "grad_norm": 1.743293285369873,
1743
+ "learning_rate": 5.897416104510211e-05,
1744
+ "loss": 1.9432,
1745
+ "step": 496
1746
+ },
1747
+ {
1748
+ "epoch": 0.9449715370018975,
1749
+ "grad_norm": 1.6011027097702026,
1750
+ "learning_rate": 5.866523738896587e-05,
1751
+ "loss": 1.8718,
1752
+ "step": 498
1753
+ },
1754
+ {
1755
+ "epoch": 0.9487666034155597,
1756
+ "grad_norm": 1.6478995084762573,
1757
+ "learning_rate": 5.835597232724511e-05,
1758
+ "loss": 1.9411,
1759
+ "step": 500
1760
+ },
1761
+ {
1762
+ "epoch": 0.952561669829222,
1763
+ "grad_norm": 1.6733437776565552,
1764
+ "learning_rate": 5.804637804481306e-05,
1765
+ "loss": 1.8868,
1766
+ "step": 502
1767
+ },
1768
+ {
1769
+ "epoch": 0.9563567362428842,
1770
+ "grad_norm": 1.6197586059570312,
1771
+ "learning_rate": 5.773646673951406e-05,
1772
+ "loss": 1.9805,
1773
+ "step": 504
1774
+ },
1775
+ {
1776
+ "epoch": 0.9601518026565465,
1777
+ "grad_norm": 1.7262201309204102,
1778
+ "learning_rate": 5.742625062168303e-05,
1779
+ "loss": 2.0499,
1780
+ "step": 506
1781
+ },
1782
+ {
1783
+ "epoch": 0.9639468690702088,
1784
+ "grad_norm": 1.5373488664627075,
1785
+ "learning_rate": 5.7115741913664264e-05,
1786
+ "loss": 1.8859,
1787
+ "step": 508
1788
+ },
1789
+ {
1790
+ "epoch": 0.967741935483871,
1791
+ "grad_norm": 2.0669445991516113,
1792
+ "learning_rate": 5.680495284933e-05,
1793
+ "loss": 1.9428,
1794
+ "step": 510
1795
+ },
1796
+ {
1797
+ "epoch": 0.9715370018975332,
1798
+ "grad_norm": 2.279287099838257,
1799
+ "learning_rate": 5.649389567359831e-05,
1800
+ "loss": 1.9444,
1801
+ "step": 512
1802
+ },
1803
+ {
1804
+ "epoch": 0.9753320683111955,
1805
+ "grad_norm": 1.7030115127563477,
1806
+ "learning_rate": 5.6182582641950764e-05,
1807
+ "loss": 1.7837,
1808
+ "step": 514
1809
+ },
1810
+ {
1811
+ "epoch": 0.9791271347248577,
1812
+ "grad_norm": 1.6407768726348877,
1813
+ "learning_rate": 5.58710260199495e-05,
1814
+ "loss": 1.8909,
1815
+ "step": 516
1816
+ },
1817
+ {
1818
+ "epoch": 0.9829222011385199,
1819
+ "grad_norm": 1.5273981094360352,
1820
+ "learning_rate": 5.555923808275395e-05,
1821
+ "loss": 1.736,
1822
+ "step": 518
1823
+ },
1824
+ {
1825
+ "epoch": 0.9867172675521821,
1826
+ "grad_norm": 1.762691617012024,
1827
+ "learning_rate": 5.5247231114637256e-05,
1828
+ "loss": 1.7998,
1829
+ "step": 520
1830
+ },
1831
+ {
1832
+ "epoch": 0.9905123339658444,
1833
+ "grad_norm": 1.6185078620910645,
1834
+ "learning_rate": 5.4935017408502274e-05,
1835
+ "loss": 1.9654,
1836
+ "step": 522
1837
+ },
1838
+ {
1839
+ "epoch": 0.9943074003795066,
1840
+ "grad_norm": 1.666943907737732,
1841
+ "learning_rate": 5.462260926539722e-05,
1842
+ "loss": 1.9379,
1843
+ "step": 524
1844
+ },
1845
+ {
1846
+ "epoch": 0.9981024667931688,
1847
+ "grad_norm": 1.5249921083450317,
1848
+ "learning_rate": 5.431001899403098e-05,
1849
+ "loss": 1.9387,
1850
+ "step": 526
1851
+ },
1852
+ {
1853
+ "epoch": 1.0018975332068312,
1854
+ "grad_norm": 1.6618927717208862,
1855
+ "learning_rate": 5.399725891028824e-05,
1856
+ "loss": 1.6652,
1857
+ "step": 528
1858
+ },
1859
+ {
1860
+ "epoch": 1.0056925996204933,
1861
+ "grad_norm": 1.5493872165679932,
1862
+ "learning_rate": 5.368434133674417e-05,
1863
+ "loss": 1.6482,
1864
+ "step": 530
1865
+ },
1866
+ {
1867
+ "epoch": 1.0094876660341556,
1868
+ "grad_norm": 1.5997267961502075,
1869
+ "learning_rate": 5.3371278602179e-05,
1870
+ "loss": 1.7815,
1871
+ "step": 532
1872
+ },
1873
+ {
1874
+ "epoch": 1.0132827324478177,
1875
+ "grad_norm": 1.6044597625732422,
1876
+ "learning_rate": 5.305808304109214e-05,
1877
+ "loss": 1.7196,
1878
+ "step": 534
1879
+ },
1880
+ {
1881
+ "epoch": 1.01707779886148,
1882
+ "grad_norm": 1.6980633735656738,
1883
+ "learning_rate": 5.274476699321638e-05,
1884
+ "loss": 1.6706,
1885
+ "step": 536
1886
+ },
1887
+ {
1888
+ "epoch": 1.0208728652751424,
1889
+ "grad_norm": 1.4464764595031738,
1890
+ "learning_rate": 5.243134280303156e-05,
1891
+ "loss": 1.6116,
1892
+ "step": 538
1893
+ },
1894
+ {
1895
+ "epoch": 1.0246679316888045,
1896
+ "grad_norm": 1.7325392961502075,
1897
+ "learning_rate": 5.211782281927832e-05,
1898
+ "loss": 1.8553,
1899
+ "step": 540
1900
+ },
1901
+ {
1902
+ "epoch": 1.0284629981024669,
1903
+ "grad_norm": 2.1889193058013916,
1904
+ "learning_rate": 5.1804219394471456e-05,
1905
+ "loss": 1.7341,
1906
+ "step": 542
1907
+ },
1908
+ {
1909
+ "epoch": 1.032258064516129,
1910
+ "grad_norm": 1.5160493850708008,
1911
+ "learning_rate": 5.149054488441333e-05,
1912
+ "loss": 1.8746,
1913
+ "step": 544
1914
+ },
1915
+ {
1916
+ "epoch": 1.0360531309297913,
1917
+ "grad_norm": 1.5881016254425049,
1918
+ "learning_rate": 5.117681164770704e-05,
1919
+ "loss": 1.5998,
1920
+ "step": 546
1921
+ },
1922
+ {
1923
+ "epoch": 1.0398481973434535,
1924
+ "grad_norm": 1.9865212440490723,
1925
+ "learning_rate": 5.086303204526943e-05,
1926
+ "loss": 1.6456,
1927
+ "step": 548
1928
+ },
1929
+ {
1930
+ "epoch": 1.0436432637571158,
1931
+ "grad_norm": 1.6527037620544434,
1932
+ "learning_rate": 5.054921843984418e-05,
1933
+ "loss": 1.5798,
1934
+ "step": 550
1935
+ },
1936
+ {
1937
+ "epoch": 1.047438330170778,
1938
+ "grad_norm": 2.3243703842163086,
1939
+ "learning_rate": 5.023538319551465e-05,
1940
+ "loss": 1.6549,
1941
+ "step": 552
1942
+ },
1943
+ {
1944
+ "epoch": 1.0512333965844403,
1945
+ "grad_norm": 1.6025899648666382,
1946
+ "learning_rate": 4.9921538677216736e-05,
1947
+ "loss": 1.7226,
1948
+ "step": 554
1949
+ },
1950
+ {
1951
+ "epoch": 1.0550284629981024,
1952
+ "grad_norm": 1.9399139881134033,
1953
+ "learning_rate": 4.9607697250251786e-05,
1954
+ "loss": 1.679,
1955
+ "step": 556
1956
+ },
1957
+ {
1958
+ "epoch": 1.0588235294117647,
1959
+ "grad_norm": 1.4900729656219482,
1960
+ "learning_rate": 4.929387127979927e-05,
1961
+ "loss": 1.7285,
1962
+ "step": 558
1963
+ },
1964
+ {
1965
+ "epoch": 1.0626185958254268,
1966
+ "grad_norm": 1.494438648223877,
1967
+ "learning_rate": 4.898007313042975e-05,
1968
+ "loss": 1.7318,
1969
+ "step": 560
1970
+ },
1971
+ {
1972
+ "epoch": 1.0664136622390892,
1973
+ "grad_norm": 1.6275337934494019,
1974
+ "learning_rate": 4.866631516561759e-05,
1975
+ "loss": 1.622,
1976
+ "step": 562
1977
+ },
1978
+ {
1979
+ "epoch": 1.0702087286527515,
1980
+ "grad_norm": 2.017521381378174,
1981
+ "learning_rate": 4.835260974725397e-05,
1982
+ "loss": 1.778,
1983
+ "step": 564
1984
+ },
1985
+ {
1986
+ "epoch": 1.0740037950664136,
1987
+ "grad_norm": 1.5728139877319336,
1988
+ "learning_rate": 4.803896923515974e-05,
1989
+ "loss": 1.6612,
1990
+ "step": 566
1991
+ },
1992
+ {
1993
+ "epoch": 1.077798861480076,
1994
+ "grad_norm": 2.189615488052368,
1995
+ "learning_rate": 4.772540598659844e-05,
1996
+ "loss": 1.8048,
1997
+ "step": 568
1998
+ },
1999
+ {
2000
+ "epoch": 1.081593927893738,
2001
+ "grad_norm": 2.1633052825927734,
2002
+ "learning_rate": 4.741193235578952e-05,
2003
+ "loss": 1.6475,
2004
+ "step": 570
2005
+ },
2006
+ {
2007
+ "epoch": 1.0853889943074004,
2008
+ "grad_norm": 1.6020445823669434,
2009
+ "learning_rate": 4.7098560693421565e-05,
2010
+ "loss": 1.6862,
2011
+ "step": 572
2012
+ },
2013
+ {
2014
+ "epoch": 1.0891840607210626,
2015
+ "grad_norm": 1.6626943349838257,
2016
+ "learning_rate": 4.678530334616557e-05,
2017
+ "loss": 1.7286,
2018
+ "step": 574
2019
+ },
2020
+ {
2021
+ "epoch": 1.092979127134725,
2022
+ "grad_norm": 1.7282367944717407,
2023
+ "learning_rate": 4.647217265618866e-05,
2024
+ "loss": 1.6667,
2025
+ "step": 576
2026
+ },
2027
+ {
2028
+ "epoch": 1.096774193548387,
2029
+ "grad_norm": 1.960288405418396,
2030
+ "learning_rate": 4.615918096066766e-05,
2031
+ "loss": 1.6368,
2032
+ "step": 578
2033
+ },
2034
+ {
2035
+ "epoch": 1.1005692599620494,
2036
+ "grad_norm": 1.614453911781311,
2037
+ "learning_rate": 4.584634059130317e-05,
2038
+ "loss": 1.6,
2039
+ "step": 580
2040
+ },
2041
+ {
2042
+ "epoch": 1.1043643263757117,
2043
+ "grad_norm": 1.5496991872787476,
2044
+ "learning_rate": 4.553366387383357e-05,
2045
+ "loss": 1.6395,
2046
+ "step": 582
2047
+ },
2048
+ {
2049
+ "epoch": 1.1081593927893738,
2050
+ "grad_norm": 1.6079200506210327,
2051
+ "learning_rate": 4.522116312754944e-05,
2052
+ "loss": 1.7718,
2053
+ "step": 584
2054
+ },
2055
+ {
2056
+ "epoch": 1.1119544592030361,
2057
+ "grad_norm": 3.4496216773986816,
2058
+ "learning_rate": 4.4908850664808245e-05,
2059
+ "loss": 1.6899,
2060
+ "step": 586
2061
+ },
2062
+ {
2063
+ "epoch": 1.1157495256166983,
2064
+ "grad_norm": 1.5524213314056396,
2065
+ "learning_rate": 4.4596738790549114e-05,
2066
+ "loss": 1.7743,
2067
+ "step": 588
2068
+ },
2069
+ {
2070
+ "epoch": 1.1195445920303606,
2071
+ "grad_norm": 1.9812953472137451,
2072
+ "learning_rate": 4.428483980180814e-05,
2073
+ "loss": 1.6655,
2074
+ "step": 590
2075
+ },
2076
+ {
2077
+ "epoch": 1.1233396584440227,
2078
+ "grad_norm": 1.5174269676208496,
2079
+ "learning_rate": 4.397316598723385e-05,
2080
+ "loss": 1.6685,
2081
+ "step": 592
2082
+ },
2083
+ {
2084
+ "epoch": 1.127134724857685,
2085
+ "grad_norm": 1.4925235509872437,
2086
+ "learning_rate": 4.366172962660301e-05,
2087
+ "loss": 1.6995,
2088
+ "step": 594
2089
+ },
2090
+ {
2091
+ "epoch": 1.1309297912713472,
2092
+ "grad_norm": 1.4607934951782227,
2093
+ "learning_rate": 4.335054299033686e-05,
2094
+ "loss": 1.7295,
2095
+ "step": 596
2096
+ },
2097
+ {
2098
+ "epoch": 1.1347248576850095,
2099
+ "grad_norm": 1.7591880559921265,
2100
+ "learning_rate": 4.3039618339017595e-05,
2101
+ "loss": 1.5847,
2102
+ "step": 598
2103
+ },
2104
+ {
2105
+ "epoch": 1.1385199240986716,
2106
+ "grad_norm": 1.8234410285949707,
2107
+ "learning_rate": 4.272896792290537e-05,
2108
+ "loss": 1.7632,
2109
+ "step": 600
2110
+ },
2111
+ {
2112
+ "epoch": 1.142314990512334,
2113
+ "grad_norm": 1.6295688152313232,
2114
+ "learning_rate": 4.241860398145565e-05,
2115
+ "loss": 1.6659,
2116
+ "step": 602
2117
+ },
2118
+ {
2119
+ "epoch": 1.146110056925996,
2120
+ "grad_norm": 1.6801655292510986,
2121
+ "learning_rate": 4.2108538742836906e-05,
2122
+ "loss": 1.7868,
2123
+ "step": 604
2124
+ },
2125
+ {
2126
+ "epoch": 1.1499051233396584,
2127
+ "grad_norm": 1.5158848762512207,
2128
+ "learning_rate": 4.179878442344892e-05,
2129
+ "loss": 1.7731,
2130
+ "step": 606
2131
+ },
2132
+ {
2133
+ "epoch": 1.1537001897533208,
2134
+ "grad_norm": 1.7007004022598267,
2135
+ "learning_rate": 4.14893532274414e-05,
2136
+ "loss": 1.5958,
2137
+ "step": 608
2138
+ },
2139
+ {
2140
+ "epoch": 1.157495256166983,
2141
+ "grad_norm": 1.4145736694335938,
2142
+ "learning_rate": 4.1180257346233186e-05,
2143
+ "loss": 1.4984,
2144
+ "step": 610
2145
+ },
2146
+ {
2147
+ "epoch": 1.1612903225806452,
2148
+ "grad_norm": 1.6077505350112915,
2149
+ "learning_rate": 4.0871508958031924e-05,
2150
+ "loss": 1.7519,
2151
+ "step": 612
2152
+ },
2153
+ {
2154
+ "epoch": 1.1650853889943074,
2155
+ "grad_norm": 1.9386768341064453,
2156
+ "learning_rate": 4.056312022735417e-05,
2157
+ "loss": 1.6402,
2158
+ "step": 614
2159
+ },
2160
+ {
2161
+ "epoch": 1.1688804554079697,
2162
+ "grad_norm": 1.5569063425064087,
2163
+ "learning_rate": 4.025510330454621e-05,
2164
+ "loss": 1.667,
2165
+ "step": 616
2166
+ },
2167
+ {
2168
+ "epoch": 1.1726755218216318,
2169
+ "grad_norm": 1.823422908782959,
2170
+ "learning_rate": 3.994747032530532e-05,
2171
+ "loss": 1.8977,
2172
+ "step": 618
2173
+ },
2174
+ {
2175
+ "epoch": 1.1764705882352942,
2176
+ "grad_norm": 1.5259554386138916,
2177
+ "learning_rate": 3.9640233410201553e-05,
2178
+ "loss": 1.5713,
2179
+ "step": 620
2180
+ },
2181
+ {
2182
+ "epoch": 1.1802656546489563,
2183
+ "grad_norm": 1.65779447555542,
2184
+ "learning_rate": 3.933340466420032e-05,
2185
+ "loss": 1.6914,
2186
+ "step": 622
2187
+ },
2188
+ {
2189
+ "epoch": 1.1840607210626186,
2190
+ "grad_norm": 3.1816537380218506,
2191
+ "learning_rate": 3.902699617618531e-05,
2192
+ "loss": 1.6629,
2193
+ "step": 624
2194
+ },
2195
+ {
2196
+ "epoch": 1.187855787476281,
2197
+ "grad_norm": 1.5835717916488647,
2198
+ "learning_rate": 3.872102001848238e-05,
2199
+ "loss": 1.5945,
2200
+ "step": 626
2201
+ },
2202
+ {
2203
+ "epoch": 1.191650853889943,
2204
+ "grad_norm": 1.6983957290649414,
2205
+ "learning_rate": 3.841548824638376e-05,
2206
+ "loss": 1.7144,
2207
+ "step": 628
2208
+ },
2209
+ {
2210
+ "epoch": 1.1954459203036052,
2211
+ "grad_norm": 1.50918710231781,
2212
+ "learning_rate": 3.8110412897673096e-05,
2213
+ "loss": 1.6502,
2214
+ "step": 630
2215
+ },
2216
+ {
2217
+ "epoch": 1.1992409867172675,
2218
+ "grad_norm": 2.0277769565582275,
2219
+ "learning_rate": 3.7805805992151284e-05,
2220
+ "loss": 1.6093,
2221
+ "step": 632
2222
+ },
2223
+ {
2224
+ "epoch": 1.2030360531309299,
2225
+ "grad_norm": 1.649634599685669,
2226
+ "learning_rate": 3.750167953116272e-05,
2227
+ "loss": 1.7188,
2228
+ "step": 634
2229
+ },
2230
+ {
2231
+ "epoch": 1.206831119544592,
2232
+ "grad_norm": 1.4943114519119263,
2233
+ "learning_rate": 3.719804549712265e-05,
2234
+ "loss": 1.638,
2235
+ "step": 636
2236
+ },
2237
+ {
2238
+ "epoch": 1.2106261859582543,
2239
+ "grad_norm": 1.5886467695236206,
2240
+ "learning_rate": 3.689491585304491e-05,
2241
+ "loss": 1.5257,
2242
+ "step": 638
2243
+ },
2244
+ {
2245
+ "epoch": 1.2144212523719164,
2246
+ "grad_norm": 1.7062335014343262,
2247
+ "learning_rate": 3.6592302542070624e-05,
2248
+ "loss": 1.6409,
2249
+ "step": 640
2250
+ },
2251
+ {
2252
+ "epoch": 1.2182163187855788,
2253
+ "grad_norm": 1.4793087244033813,
2254
+ "learning_rate": 3.629021748699777e-05,
2255
+ "loss": 1.6542,
2256
+ "step": 642
2257
+ },
2258
+ {
2259
+ "epoch": 1.222011385199241,
2260
+ "grad_norm": 1.7847223281860352,
2261
+ "learning_rate": 3.598867258981122e-05,
2262
+ "loss": 1.7352,
2263
+ "step": 644
2264
+ },
2265
+ {
2266
+ "epoch": 1.2258064516129032,
2267
+ "grad_norm": 1.4678460359573364,
2268
+ "learning_rate": 3.5687679731214016e-05,
2269
+ "loss": 1.6659,
2270
+ "step": 646
2271
+ },
2272
+ {
2273
+ "epoch": 1.2296015180265654,
2274
+ "grad_norm": 1.5419920682907104,
2275
+ "learning_rate": 3.538725077015915e-05,
2276
+ "loss": 1.6397,
2277
+ "step": 648
2278
+ },
2279
+ {
2280
+ "epoch": 1.2333965844402277,
2281
+ "grad_norm": 1.7071402072906494,
2282
+ "learning_rate": 3.5087397543382326e-05,
2283
+ "loss": 1.7359,
2284
+ "step": 650
2285
+ },
2286
+ {
2287
+ "epoch": 1.23719165085389,
2288
+ "grad_norm": 1.4306018352508545,
2289
+ "learning_rate": 3.478813186493569e-05,
2290
+ "loss": 1.6519,
2291
+ "step": 652
2292
+ },
2293
+ {
2294
+ "epoch": 1.2409867172675522,
2295
+ "grad_norm": 1.5240694284439087,
2296
+ "learning_rate": 3.448946552572229e-05,
2297
+ "loss": 1.7532,
2298
+ "step": 654
2299
+ },
2300
+ {
2301
+ "epoch": 1.2447817836812145,
2302
+ "grad_norm": 1.3893238306045532,
2303
+ "learning_rate": 3.419141029303149e-05,
2304
+ "loss": 1.5148,
2305
+ "step": 656
2306
+ },
2307
+ {
2308
+ "epoch": 1.2485768500948766,
2309
+ "grad_norm": 1.5156265497207642,
2310
+ "learning_rate": 3.389397791007548e-05,
2311
+ "loss": 1.6424,
2312
+ "step": 658
2313
+ },
2314
+ {
2315
+ "epoch": 1.252371916508539,
2316
+ "grad_norm": 1.48092520236969,
2317
+ "learning_rate": 3.3597180095526434e-05,
2318
+ "loss": 1.6634,
2319
+ "step": 660
2320
+ },
2321
+ {
2322
+ "epoch": 1.256166982922201,
2323
+ "grad_norm": 1.4644947052001953,
2324
+ "learning_rate": 3.3301028543054935e-05,
2325
+ "loss": 1.674,
2326
+ "step": 662
2327
+ },
2328
+ {
2329
+ "epoch": 1.2599620493358634,
2330
+ "grad_norm": 1.6219902038574219,
2331
+ "learning_rate": 3.3005534920869176e-05,
2332
+ "loss": 1.7191,
2333
+ "step": 664
2334
+ },
2335
+ {
2336
+ "epoch": 1.2637571157495255,
2337
+ "grad_norm": 1.620972990989685,
2338
+ "learning_rate": 3.271071087125522e-05,
2339
+ "loss": 1.5935,
2340
+ "step": 666
2341
+ },
2342
+ {
2343
+ "epoch": 1.2675521821631879,
2344
+ "grad_norm": 1.5413631200790405,
2345
+ "learning_rate": 3.2416568010118435e-05,
2346
+ "loss": 1.7661,
2347
+ "step": 668
2348
+ },
2349
+ {
2350
+ "epoch": 1.2713472485768502,
2351
+ "grad_norm": 1.5393487215042114,
2352
+ "learning_rate": 3.212311792652564e-05,
2353
+ "loss": 1.5872,
2354
+ "step": 670
2355
+ },
2356
+ {
2357
+ "epoch": 1.2751423149905123,
2358
+ "grad_norm": 1.70036780834198,
2359
+ "learning_rate": 3.183037218224862e-05,
2360
+ "loss": 1.8269,
2361
+ "step": 672
2362
+ },
2363
+ {
2364
+ "epoch": 1.2789373814041745,
2365
+ "grad_norm": 1.5720345973968506,
2366
+ "learning_rate": 3.153834231130866e-05,
2367
+ "loss": 1.7084,
2368
+ "step": 674
2369
+ },
2370
+ {
2371
+ "epoch": 1.2827324478178368,
2372
+ "grad_norm": 1.9221960306167603,
2373
+ "learning_rate": 3.124703981952191e-05,
2374
+ "loss": 1.591,
2375
+ "step": 676
2376
+ },
2377
+ {
2378
+ "epoch": 1.2865275142314991,
2379
+ "grad_norm": 1.7205685377120972,
2380
+ "learning_rate": 3.0956476184046275e-05,
2381
+ "loss": 1.5033,
2382
+ "step": 678
2383
+ },
2384
+ {
2385
+ "epoch": 1.2903225806451613,
2386
+ "grad_norm": 1.5560023784637451,
2387
+ "learning_rate": 3.066666285292906e-05,
2388
+ "loss": 1.6366,
2389
+ "step": 680
2390
+ },
2391
+ {
2392
+ "epoch": 1.2941176470588236,
2393
+ "grad_norm": 1.5918118953704834,
2394
+ "learning_rate": 3.037761124465604e-05,
2395
+ "loss": 1.7091,
2396
+ "step": 682
2397
+ },
2398
+ {
2399
+ "epoch": 1.2979127134724857,
2400
+ "grad_norm": 1.4265037775039673,
2401
+ "learning_rate": 3.0089332747701527e-05,
2402
+ "loss": 1.5692,
2403
+ "step": 684
2404
+ },
2405
+ {
2406
+ "epoch": 1.301707779886148,
2407
+ "grad_norm": 1.8184232711791992,
2408
+ "learning_rate": 2.9801838720079633e-05,
2409
+ "loss": 1.693,
2410
+ "step": 686
2411
+ },
2412
+ {
2413
+ "epoch": 1.3055028462998102,
2414
+ "grad_norm": 1.5686814785003662,
2415
+ "learning_rate": 2.9515140488896847e-05,
2416
+ "loss": 1.5748,
2417
+ "step": 688
2418
+ },
2419
+ {
2420
+ "epoch": 1.3092979127134725,
2421
+ "grad_norm": 1.8368483781814575,
2422
+ "learning_rate": 2.9229249349905684e-05,
2423
+ "loss": 1.7264,
2424
+ "step": 690
2425
+ },
2426
+ {
2427
+ "epoch": 1.3130929791271346,
2428
+ "grad_norm": 1.7172402143478394,
2429
+ "learning_rate": 2.8944176567059706e-05,
2430
+ "loss": 1.6153,
2431
+ "step": 692
2432
+ },
2433
+ {
2434
+ "epoch": 1.316888045540797,
2435
+ "grad_norm": 1.5232385396957397,
2436
+ "learning_rate": 2.86599333720697e-05,
2437
+ "loss": 1.7696,
2438
+ "step": 694
2439
+ },
2440
+ {
2441
+ "epoch": 1.3206831119544593,
2442
+ "grad_norm": 1.7590447664260864,
2443
+ "learning_rate": 2.837653096396108e-05,
2444
+ "loss": 1.5896,
2445
+ "step": 696
2446
+ },
2447
+ {
2448
+ "epoch": 1.3244781783681214,
2449
+ "grad_norm": 1.6392059326171875,
2450
+ "learning_rate": 2.809398050863279e-05,
2451
+ "loss": 1.6988,
2452
+ "step": 698
2453
+ },
2454
+ {
2455
+ "epoch": 1.3282732447817835,
2456
+ "grad_norm": 1.4638209342956543,
2457
+ "learning_rate": 2.7812293138417312e-05,
2458
+ "loss": 1.5469,
2459
+ "step": 700
2460
+ },
2461
+ {
2462
+ "epoch": 1.3320683111954459,
2463
+ "grad_norm": 1.5461550951004028,
2464
+ "learning_rate": 2.7531479951641924e-05,
2465
+ "loss": 1.6668,
2466
+ "step": 702
2467
+ },
2468
+ {
2469
+ "epoch": 1.3358633776091082,
2470
+ "grad_norm": 1.7565243244171143,
2471
+ "learning_rate": 2.7251552012191762e-05,
2472
+ "loss": 1.7475,
2473
+ "step": 704
2474
+ },
2475
+ {
2476
+ "epoch": 1.3396584440227703,
2477
+ "grad_norm": 1.4081997871398926,
2478
+ "learning_rate": 2.697252034907351e-05,
2479
+ "loss": 1.6241,
2480
+ "step": 706
2481
+ },
2482
+ {
2483
+ "epoch": 1.3434535104364327,
2484
+ "grad_norm": 1.4330826997756958,
2485
+ "learning_rate": 2.6694395955981143e-05,
2486
+ "loss": 1.7001,
2487
+ "step": 708
2488
+ },
2489
+ {
2490
+ "epoch": 1.3472485768500948,
2491
+ "grad_norm": 1.534566879272461,
2492
+ "learning_rate": 2.641718979086277e-05,
2493
+ "loss": 1.6876,
2494
+ "step": 710
2495
+ },
2496
+ {
2497
+ "epoch": 1.3510436432637571,
2498
+ "grad_norm": 1.4671937227249146,
2499
+ "learning_rate": 2.614091277548864e-05,
2500
+ "loss": 1.6305,
2501
+ "step": 712
2502
+ },
2503
+ {
2504
+ "epoch": 1.3548387096774195,
2505
+ "grad_norm": 1.687727689743042,
2506
+ "learning_rate": 2.5865575795021218e-05,
2507
+ "loss": 1.7084,
2508
+ "step": 714
2509
+ },
2510
+ {
2511
+ "epoch": 1.3586337760910816,
2512
+ "grad_norm": 1.4534823894500732,
2513
+ "learning_rate": 2.559118969758595e-05,
2514
+ "loss": 1.5755,
2515
+ "step": 716
2516
+ },
2517
+ {
2518
+ "epoch": 1.3624288425047437,
2519
+ "grad_norm": 1.4465699195861816,
2520
+ "learning_rate": 2.531776529384407e-05,
2521
+ "loss": 1.69,
2522
+ "step": 718
2523
+ },
2524
+ {
2525
+ "epoch": 1.366223908918406,
2526
+ "grad_norm": 1.3949697017669678,
2527
+ "learning_rate": 2.504531335656668e-05,
2528
+ "loss": 1.6683,
2529
+ "step": 720
2530
+ },
2531
+ {
2532
+ "epoch": 1.3700189753320684,
2533
+ "grad_norm": 1.3115884065628052,
2534
+ "learning_rate": 2.4773844620210118e-05,
2535
+ "loss": 1.4945,
2536
+ "step": 722
2537
+ },
2538
+ {
2539
+ "epoch": 1.3738140417457305,
2540
+ "grad_norm": 1.5108110904693604,
2541
+ "learning_rate": 2.450336978049322e-05,
2542
+ "loss": 1.6253,
2543
+ "step": 724
2544
+ },
2545
+ {
2546
+ "epoch": 1.3776091081593929,
2547
+ "grad_norm": 1.3981152772903442,
2548
+ "learning_rate": 2.423389949397582e-05,
2549
+ "loss": 1.5409,
2550
+ "step": 726
2551
+ },
2552
+ {
2553
+ "epoch": 1.381404174573055,
2554
+ "grad_norm": 1.5719287395477295,
2555
+ "learning_rate": 2.3965444377638906e-05,
2556
+ "loss": 1.6682,
2557
+ "step": 728
2558
+ },
2559
+ {
2560
+ "epoch": 1.3851992409867173,
2561
+ "grad_norm": 40.58249282836914,
2562
+ "learning_rate": 2.3698015008466372e-05,
2563
+ "loss": 1.5704,
2564
+ "step": 730
2565
+ },
2566
+ {
2567
+ "epoch": 1.3889943074003794,
2568
+ "grad_norm": 1.6211159229278564,
2569
+ "learning_rate": 2.3431621923028145e-05,
2570
+ "loss": 1.6252,
2571
+ "step": 732
2572
+ },
2573
+ {
2574
+ "epoch": 1.3927893738140418,
2575
+ "grad_norm": 1.5556660890579224,
2576
+ "learning_rate": 2.3166275617065213e-05,
2577
+ "loss": 1.7645,
2578
+ "step": 734
2579
+ },
2580
+ {
2581
+ "epoch": 1.396584440227704,
2582
+ "grad_norm": 1.5189040899276733,
2583
+ "learning_rate": 2.2901986545076e-05,
2584
+ "loss": 1.7522,
2585
+ "step": 736
2586
+ },
2587
+ {
2588
+ "epoch": 1.4003795066413662,
2589
+ "grad_norm": 1.4270603656768799,
2590
+ "learning_rate": 2.26387651199045e-05,
2591
+ "loss": 1.6917,
2592
+ "step": 738
2593
+ },
2594
+ {
2595
+ "epoch": 1.4041745730550286,
2596
+ "grad_norm": 1.4696648120880127,
2597
+ "learning_rate": 2.2376621712330015e-05,
2598
+ "loss": 1.6135,
2599
+ "step": 740
2600
+ },
2601
+ {
2602
+ "epoch": 1.4079696394686907,
2603
+ "grad_norm": 1.3072363138198853,
2604
+ "learning_rate": 2.2115566650658536e-05,
2605
+ "loss": 1.585,
2606
+ "step": 742
2607
+ },
2608
+ {
2609
+ "epoch": 1.4117647058823528,
2610
+ "grad_norm": 1.5034172534942627,
2611
+ "learning_rate": 2.185561022031582e-05,
2612
+ "loss": 1.5775,
2613
+ "step": 744
2614
+ },
2615
+ {
2616
+ "epoch": 1.4155597722960152,
2617
+ "grad_norm": 1.512794852256775,
2618
+ "learning_rate": 2.1596762663442218e-05,
2619
+ "loss": 1.643,
2620
+ "step": 746
2621
+ },
2622
+ {
2623
+ "epoch": 1.4193548387096775,
2624
+ "grad_norm": 3.3542797565460205,
2625
+ "learning_rate": 2.1339034178488964e-05,
2626
+ "loss": 1.5938,
2627
+ "step": 748
2628
+ },
2629
+ {
2630
+ "epoch": 1.4231499051233396,
2631
+ "grad_norm": 1.3820551633834839,
2632
+ "learning_rate": 2.1082434919816557e-05,
2633
+ "loss": 1.5712,
2634
+ "step": 750
2635
+ },
2636
+ {
2637
+ "epoch": 1.426944971537002,
2638
+ "grad_norm": 1.6565138101577759,
2639
+ "learning_rate": 2.0826974997294574e-05,
2640
+ "loss": 1.6549,
2641
+ "step": 752
2642
+ },
2643
+ {
2644
+ "epoch": 1.430740037950664,
2645
+ "grad_norm": 1.4901527166366577,
2646
+ "learning_rate": 2.0572664475903386e-05,
2647
+ "loss": 1.4857,
2648
+ "step": 754
2649
+ },
2650
+ {
2651
+ "epoch": 1.4345351043643264,
2652
+ "grad_norm": 1.5091009140014648,
2653
+ "learning_rate": 2.0319513375337578e-05,
2654
+ "loss": 1.5638,
2655
+ "step": 756
2656
+ },
2657
+ {
2658
+ "epoch": 1.4383301707779887,
2659
+ "grad_norm": 1.6802904605865479,
2660
+ "learning_rate": 2.0067531669611206e-05,
2661
+ "loss": 1.6303,
2662
+ "step": 758
2663
+ },
2664
+ {
2665
+ "epoch": 1.4421252371916509,
2666
+ "grad_norm": 1.5811331272125244,
2667
+ "learning_rate": 1.9816729286664798e-05,
2668
+ "loss": 1.6192,
2669
+ "step": 760
2670
+ },
2671
+ {
2672
+ "epoch": 1.445920303605313,
2673
+ "grad_norm": 3.5746853351593018,
2674
+ "learning_rate": 1.9567116107974232e-05,
2675
+ "loss": 1.6014,
2676
+ "step": 762
2677
+ },
2678
+ {
2679
+ "epoch": 1.4497153700189753,
2680
+ "grad_norm": 1.452040195465088,
2681
+ "learning_rate": 1.931870196816138e-05,
2682
+ "loss": 1.5184,
2683
+ "step": 764
2684
+ },
2685
+ {
2686
+ "epoch": 1.4535104364326377,
2687
+ "grad_norm": 1.3807239532470703,
2688
+ "learning_rate": 1.907149665460664e-05,
2689
+ "loss": 1.5317,
2690
+ "step": 766
2691
+ },
2692
+ {
2693
+ "epoch": 1.4573055028462998,
2694
+ "grad_norm": 1.55472993850708,
2695
+ "learning_rate": 1.8825509907063327e-05,
2696
+ "loss": 1.6677,
2697
+ "step": 768
2698
+ },
2699
+ {
2700
+ "epoch": 1.4611005692599621,
2701
+ "grad_norm": 2.8080527782440186,
2702
+ "learning_rate": 1.8580751417273928e-05,
2703
+ "loss": 1.5966,
2704
+ "step": 770
2705
+ },
2706
+ {
2707
+ "epoch": 1.4648956356736242,
2708
+ "grad_norm": 1.4996614456176758,
2709
+ "learning_rate": 1.833723082858825e-05,
2710
+ "loss": 1.5075,
2711
+ "step": 772
2712
+ },
2713
+ {
2714
+ "epoch": 1.4686907020872866,
2715
+ "grad_norm": 1.5204508304595947,
2716
+ "learning_rate": 1.8094957735583463e-05,
2717
+ "loss": 1.6364,
2718
+ "step": 774
2719
+ },
2720
+ {
2721
+ "epoch": 1.4724857685009487,
2722
+ "grad_norm": 1.4906686544418335,
2723
+ "learning_rate": 1.7853941683686114e-05,
2724
+ "loss": 1.561,
2725
+ "step": 776
2726
+ },
2727
+ {
2728
+ "epoch": 1.476280834914611,
2729
+ "grad_norm": 1.5031158924102783,
2730
+ "learning_rate": 1.761419216879601e-05,
2731
+ "loss": 1.7128,
2732
+ "step": 778
2733
+ },
2734
+ {
2735
+ "epoch": 1.4800759013282732,
2736
+ "grad_norm": 1.646573543548584,
2737
+ "learning_rate": 1.7375718636912103e-05,
2738
+ "loss": 1.4712,
2739
+ "step": 780
2740
+ },
2741
+ {
2742
+ "epoch": 1.4838709677419355,
2743
+ "grad_norm": 1.408292293548584,
2744
+ "learning_rate": 1.7138530483760314e-05,
2745
+ "loss": 1.604,
2746
+ "step": 782
2747
+ },
2748
+ {
2749
+ "epoch": 1.4876660341555978,
2750
+ "grad_norm": 1.514613389968872,
2751
+ "learning_rate": 1.690263705442334e-05,
2752
+ "loss": 1.5608,
2753
+ "step": 784
2754
+ },
2755
+ {
2756
+ "epoch": 1.49146110056926,
2757
+ "grad_norm": 1.524839997291565,
2758
+ "learning_rate": 1.6668047642972494e-05,
2759
+ "loss": 1.6983,
2760
+ "step": 786
2761
+ },
2762
+ {
2763
+ "epoch": 1.495256166982922,
2764
+ "grad_norm": 1.4785043001174927,
2765
+ "learning_rate": 1.6434771492101485e-05,
2766
+ "loss": 1.6198,
2767
+ "step": 788
2768
+ },
2769
+ {
2770
+ "epoch": 1.4990512333965844,
2771
+ "grad_norm": 1.3640413284301758,
2772
+ "learning_rate": 1.6202817792762282e-05,
2773
+ "loss": 1.7243,
2774
+ "step": 790
2775
+ },
2776
+ {
2777
+ "epoch": 1.5028462998102468,
2778
+ "grad_norm": 1.5032504796981812,
2779
+ "learning_rate": 1.5972195683802992e-05,
2780
+ "loss": 1.8518,
2781
+ "step": 792
2782
+ },
2783
+ {
2784
+ "epoch": 1.5066413662239089,
2785
+ "grad_norm": 1.4881658554077148,
2786
+ "learning_rate": 1.5742914251607793e-05,
2787
+ "loss": 1.5322,
2788
+ "step": 794
2789
+ },
2790
+ {
2791
+ "epoch": 1.510436432637571,
2792
+ "grad_norm": 1.4453545808792114,
2793
+ "learning_rate": 1.5514982529738946e-05,
2794
+ "loss": 1.7067,
2795
+ "step": 796
2796
+ },
2797
+ {
2798
+ "epoch": 1.5142314990512333,
2799
+ "grad_norm": 1.7550113201141357,
2800
+ "learning_rate": 1.5288409498580824e-05,
2801
+ "loss": 1.8448,
2802
+ "step": 798
2803
+ },
2804
+ {
2805
+ "epoch": 1.5180265654648957,
2806
+ "grad_norm": 1.4147554636001587,
2807
+ "learning_rate": 1.506320408498621e-05,
2808
+ "loss": 1.6183,
2809
+ "step": 800
2810
+ },
2811
+ {
2812
+ "epoch": 1.521821631878558,
2813
+ "grad_norm": 1.3465934991836548,
2814
+ "learning_rate": 1.4839375161924446e-05,
2815
+ "loss": 1.6194,
2816
+ "step": 802
2817
+ },
2818
+ {
2819
+ "epoch": 1.5256166982922201,
2820
+ "grad_norm": 1.3472963571548462,
2821
+ "learning_rate": 1.4616931548131929e-05,
2822
+ "loss": 1.5212,
2823
+ "step": 804
2824
+ },
2825
+ {
2826
+ "epoch": 1.5294117647058822,
2827
+ "grad_norm": 1.2750847339630127,
2828
+ "learning_rate": 1.4395882007764644e-05,
2829
+ "loss": 1.417,
2830
+ "step": 806
2831
+ },
2832
+ {
2833
+ "epoch": 1.5332068311195446,
2834
+ "grad_norm": 1.328033447265625,
2835
+ "learning_rate": 1.4176235250052788e-05,
2836
+ "loss": 1.6971,
2837
+ "step": 808
2838
+ },
2839
+ {
2840
+ "epoch": 1.537001897533207,
2841
+ "grad_norm": 1.6831159591674805,
2842
+ "learning_rate": 1.3957999928957787e-05,
2843
+ "loss": 1.6343,
2844
+ "step": 810
2845
+ },
2846
+ {
2847
+ "epoch": 1.540796963946869,
2848
+ "grad_norm": 1.480717420578003,
2849
+ "learning_rate": 1.3741184642831189e-05,
2850
+ "loss": 1.6074,
2851
+ "step": 812
2852
+ },
2853
+ {
2854
+ "epoch": 1.5445920303605312,
2855
+ "grad_norm": 1.3570265769958496,
2856
+ "learning_rate": 1.3525797934075912e-05,
2857
+ "loss": 1.5549,
2858
+ "step": 814
2859
+ },
2860
+ {
2861
+ "epoch": 1.5483870967741935,
2862
+ "grad_norm": 1.5152511596679688,
2863
+ "learning_rate": 1.3311848288809813e-05,
2864
+ "loss": 1.6743,
2865
+ "step": 816
2866
+ },
2867
+ {
2868
+ "epoch": 1.5521821631878558,
2869
+ "grad_norm": 1.4288028478622437,
2870
+ "learning_rate": 1.3099344136531105e-05,
2871
+ "loss": 1.6527,
2872
+ "step": 818
2873
+ },
2874
+ {
2875
+ "epoch": 1.5559772296015182,
2876
+ "grad_norm": 1.42059326171875,
2877
+ "learning_rate": 1.2888293849786503e-05,
2878
+ "loss": 1.5204,
2879
+ "step": 820
2880
+ },
2881
+ {
2882
+ "epoch": 1.5597722960151803,
2883
+ "grad_norm": 1.530799150466919,
2884
+ "learning_rate": 1.2678705743841152e-05,
2885
+ "loss": 1.6391,
2886
+ "step": 822
2887
+ },
2888
+ {
2889
+ "epoch": 1.5635673624288424,
2890
+ "grad_norm": 1.3500713109970093,
2891
+ "learning_rate": 1.2470588076351036e-05,
2892
+ "loss": 1.4847,
2893
+ "step": 824
2894
+ },
2895
+ {
2896
+ "epoch": 1.5673624288425048,
2897
+ "grad_norm": 1.414480209350586,
2898
+ "learning_rate": 1.2263949047037786e-05,
2899
+ "loss": 1.5067,
2900
+ "step": 826
2901
+ },
2902
+ {
2903
+ "epoch": 1.571157495256167,
2904
+ "grad_norm": 1.3751875162124634,
2905
+ "learning_rate": 1.2058796797365423e-05,
2906
+ "loss": 1.4994,
2907
+ "step": 828
2908
+ },
2909
+ {
2910
+ "epoch": 1.5749525616698292,
2911
+ "grad_norm": 1.3213021755218506,
2912
+ "learning_rate": 1.1855139410219657e-05,
2913
+ "loss": 1.5208,
2914
+ "step": 830
2915
+ },
2916
+ {
2917
+ "epoch": 1.5787476280834913,
2918
+ "grad_norm": 1.3120757341384888,
2919
+ "learning_rate": 1.1652984909589515e-05,
2920
+ "loss": 1.5639,
2921
+ "step": 832
2922
+ },
2923
+ {
2924
+ "epoch": 1.5825426944971537,
2925
+ "grad_norm": 1.4932972192764282,
2926
+ "learning_rate": 1.145234126025102e-05,
2927
+ "loss": 1.5474,
2928
+ "step": 834
2929
+ },
2930
+ {
2931
+ "epoch": 1.586337760910816,
2932
+ "grad_norm": 1.3566076755523682,
2933
+ "learning_rate": 1.1253216367453578e-05,
2934
+ "loss": 1.527,
2935
+ "step": 836
2936
+ },
2937
+ {
2938
+ "epoch": 1.5901328273244781,
2939
+ "grad_norm": 1.4110137224197388,
2940
+ "learning_rate": 1.1055618076608381e-05,
2941
+ "loss": 1.5419,
2942
+ "step": 838
2943
+ },
2944
+ {
2945
+ "epoch": 1.5939278937381403,
2946
+ "grad_norm": 1.3764982223510742,
2947
+ "learning_rate": 1.085955417297932e-05,
2948
+ "loss": 1.514,
2949
+ "step": 840
2950
+ },
2951
+ {
2952
+ "epoch": 1.5977229601518026,
2953
+ "grad_norm": 1.4026317596435547,
2954
+ "learning_rate": 1.0665032381376338e-05,
2955
+ "loss": 1.5618,
2956
+ "step": 842
2957
+ },
2958
+ {
2959
+ "epoch": 1.601518026565465,
2960
+ "grad_norm": 1.3527369499206543,
2961
+ "learning_rate": 1.047206036585095e-05,
2962
+ "loss": 1.5271,
2963
+ "step": 844
2964
+ },
2965
+ {
2966
+ "epoch": 1.6053130929791273,
2967
+ "grad_norm": 1.5318386554718018,
2968
+ "learning_rate": 1.0280645729394366e-05,
2969
+ "loss": 1.6692,
2970
+ "step": 846
2971
+ },
2972
+ {
2973
+ "epoch": 1.6091081593927894,
2974
+ "grad_norm": 1.4500492811203003,
2975
+ "learning_rate": 1.0090796013637965e-05,
2976
+ "loss": 1.6373,
2977
+ "step": 848
2978
+ },
2979
+ {
2980
+ "epoch": 1.6129032258064515,
2981
+ "grad_norm": 1.5734283924102783,
2982
+ "learning_rate": 9.902518698556018e-06,
2983
+ "loss": 1.4735,
2984
+ "step": 850
2985
+ },
2986
+ {
2987
+ "epoch": 1.6166982922201139,
2988
+ "grad_norm": 1.4084815979003906,
2989
+ "learning_rate": 9.715821202171178e-06,
2990
+ "loss": 1.6179,
2991
+ "step": 852
2992
+ },
2993
+ {
2994
+ "epoch": 1.6204933586337762,
2995
+ "grad_norm": 1.3125470876693726,
2996
+ "learning_rate": 9.530710880262023e-06,
2997
+ "loss": 1.5877,
2998
+ "step": 854
2999
+ },
3000
+ {
3001
+ "epoch": 1.6242884250474383,
3002
+ "grad_norm": 2.5337698459625244,
3003
+ "learning_rate": 9.347195026073369e-06,
3004
+ "loss": 1.5603,
3005
+ "step": 856
3006
+ },
3007
+ {
3008
+ "epoch": 1.6280834914611004,
3009
+ "grad_norm": 1.711033821105957,
3010
+ "learning_rate": 9.16528087002892e-06,
3011
+ "loss": 1.6834,
3012
+ "step": 858
3013
+ },
3014
+ {
3015
+ "epoch": 1.6318785578747628,
3016
+ "grad_norm": 1.3725215196609497,
3017
+ "learning_rate": 8.98497557944627e-06,
3018
+ "loss": 1.5769,
3019
+ "step": 860
3020
+ },
3021
+ {
3022
+ "epoch": 1.635673624288425,
3023
+ "grad_norm": 1.2920559644699097,
3024
+ "learning_rate": 8.806286258254664e-06,
3025
+ "loss": 1.5149,
3026
+ "step": 862
3027
+ },
3028
+ {
3029
+ "epoch": 1.6394686907020875,
3030
+ "grad_norm": 2.3137001991271973,
3031
+ "learning_rate": 8.62921994671501e-06,
3032
+ "loss": 1.7416,
3033
+ "step": 864
3034
+ },
3035
+ {
3036
+ "epoch": 1.6432637571157496,
3037
+ "grad_norm": 1.3830606937408447,
3038
+ "learning_rate": 8.453783621142542e-06,
3039
+ "loss": 1.5635,
3040
+ "step": 866
3041
+ },
3042
+ {
3043
+ "epoch": 1.6470588235294117,
3044
+ "grad_norm": 1.4525353908538818,
3045
+ "learning_rate": 8.279984193631967e-06,
3046
+ "loss": 1.5408,
3047
+ "step": 868
3048
+ },
3049
+ {
3050
+ "epoch": 1.650853889943074,
3051
+ "grad_norm": 1.4264976978302002,
3052
+ "learning_rate": 8.10782851178506e-06,
3053
+ "loss": 1.4529,
3054
+ "step": 870
3055
+ },
3056
+ {
3057
+ "epoch": 1.6546489563567364,
3058
+ "grad_norm": 1.4322513341903687,
3059
+ "learning_rate": 7.937323358440935e-06,
3060
+ "loss": 1.5934,
3061
+ "step": 872
3062
+ },
3063
+ {
3064
+ "epoch": 1.6584440227703985,
3065
+ "grad_norm": 1.5460699796676636,
3066
+ "learning_rate": 7.768475451408847e-06,
3067
+ "loss": 1.6017,
3068
+ "step": 874
3069
+ },
3070
+ {
3071
+ "epoch": 1.6622390891840606,
3072
+ "grad_norm": 1.4285356998443604,
3073
+ "learning_rate": 7.601291443203373e-06,
3074
+ "loss": 1.6968,
3075
+ "step": 876
3076
+ },
3077
+ {
3078
+ "epoch": 1.666034155597723,
3079
+ "grad_norm": 15.581119537353516,
3080
+ "learning_rate": 7.435777920782444e-06,
3081
+ "loss": 1.5468,
3082
+ "step": 878
3083
+ },
3084
+ {
3085
+ "epoch": 1.6698292220113853,
3086
+ "grad_norm": 1.3123668432235718,
3087
+ "learning_rate": 7.271941405287763e-06,
3088
+ "loss": 1.4934,
3089
+ "step": 880
3090
+ },
3091
+ {
3092
+ "epoch": 1.6736242884250474,
3093
+ "grad_norm": 1.2993680238723755,
3094
+ "learning_rate": 7.109788351787866e-06,
3095
+ "loss": 1.6143,
3096
+ "step": 882
3097
+ },
3098
+ {
3099
+ "epoch": 1.6774193548387095,
3100
+ "grad_norm": 1.5729187726974487,
3101
+ "learning_rate": 6.949325149023861e-06,
3102
+ "loss": 1.5881,
3103
+ "step": 884
3104
+ },
3105
+ {
3106
+ "epoch": 1.6812144212523719,
3107
+ "grad_norm": 1.3540576696395874,
3108
+ "learning_rate": 6.790558119157597e-06,
3109
+ "loss": 1.5138,
3110
+ "step": 886
3111
+ },
3112
+ {
3113
+ "epoch": 1.6850094876660342,
3114
+ "grad_norm": 1.92926824092865,
3115
+ "learning_rate": 6.633493517522687e-06,
3116
+ "loss": 1.6079,
3117
+ "step": 888
3118
+ },
3119
+ {
3120
+ "epoch": 1.6888045540796965,
3121
+ "grad_norm": 1.5620063543319702,
3122
+ "learning_rate": 6.478137532378004e-06,
3123
+ "loss": 1.5084,
3124
+ "step": 890
3125
+ },
3126
+ {
3127
+ "epoch": 1.6925996204933587,
3128
+ "grad_norm": 1.7819502353668213,
3129
+ "learning_rate": 6.324496284663867e-06,
3130
+ "loss": 1.5027,
3131
+ "step": 892
3132
+ },
3133
+ {
3134
+ "epoch": 1.6963946869070208,
3135
+ "grad_norm": 1.3874931335449219,
3136
+ "learning_rate": 6.172575827760885e-06,
3137
+ "loss": 1.6247,
3138
+ "step": 894
3139
+ },
3140
+ {
3141
+ "epoch": 1.7001897533206831,
3142
+ "grad_norm": 1.3802452087402344,
3143
+ "learning_rate": 6.022382147251454e-06,
3144
+ "loss": 1.5536,
3145
+ "step": 896
3146
+ },
3147
+ {
3148
+ "epoch": 1.7039848197343455,
3149
+ "grad_norm": 1.2863043546676636,
3150
+ "learning_rate": 5.873921160683943e-06,
3151
+ "loss": 1.5286,
3152
+ "step": 898
3153
+ },
3154
+ {
3155
+ "epoch": 1.7077798861480076,
3156
+ "grad_norm": 1.3299353122711182,
3157
+ "learning_rate": 5.727198717339511e-06,
3158
+ "loss": 1.6258,
3159
+ "step": 900
3160
+ },
3161
+ {
3162
+ "epoch": 1.7115749525616697,
3163
+ "grad_norm": 1.3413077592849731,
3164
+ "learning_rate": 5.582220598001681e-06,
3165
+ "loss": 1.6182,
3166
+ "step": 902
3167
+ },
3168
+ {
3169
+ "epoch": 1.715370018975332,
3170
+ "grad_norm": 1.3768631219863892,
3171
+ "learning_rate": 5.438992514728586e-06,
3172
+ "loss": 1.4732,
3173
+ "step": 904
3174
+ },
3175
+ {
3176
+ "epoch": 1.7191650853889944,
3177
+ "grad_norm": 1.4041154384613037,
3178
+ "learning_rate": 5.297520110627868e-06,
3179
+ "loss": 1.6401,
3180
+ "step": 906
3181
+ },
3182
+ {
3183
+ "epoch": 1.7229601518026565,
3184
+ "grad_norm": 1.3863005638122559,
3185
+ "learning_rate": 5.157808959634408e-06,
3186
+ "loss": 1.5701,
3187
+ "step": 908
3188
+ },
3189
+ {
3190
+ "epoch": 1.7267552182163188,
3191
+ "grad_norm": 1.3895708322525024,
3192
+ "learning_rate": 5.0198645662906666e-06,
3193
+ "loss": 1.7111,
3194
+ "step": 910
3195
+ },
3196
+ {
3197
+ "epoch": 1.730550284629981,
3198
+ "grad_norm": 1.4131901264190674,
3199
+ "learning_rate": 4.88369236552983e-06,
3200
+ "loss": 1.5951,
3201
+ "step": 912
3202
+ },
3203
+ {
3204
+ "epoch": 1.7343453510436433,
3205
+ "grad_norm": 1.398961067199707,
3206
+ "learning_rate": 4.74929772246166e-06,
3207
+ "loss": 1.6147,
3208
+ "step": 914
3209
+ },
3210
+ {
3211
+ "epoch": 1.7381404174573056,
3212
+ "grad_norm": 1.401387095451355,
3213
+ "learning_rate": 4.616685932161152e-06,
3214
+ "loss": 1.6099,
3215
+ "step": 916
3216
+ },
3217
+ {
3218
+ "epoch": 1.7419354838709677,
3219
+ "grad_norm": 1.4285647869110107,
3220
+ "learning_rate": 4.4858622194598525e-06,
3221
+ "loss": 1.5869,
3222
+ "step": 918
3223
+ },
3224
+ {
3225
+ "epoch": 1.7457305502846299,
3226
+ "grad_norm": 1.3526160717010498,
3227
+ "learning_rate": 4.356831738740053e-06,
3228
+ "loss": 1.639,
3229
+ "step": 920
3230
+ },
3231
+ {
3232
+ "epoch": 1.7495256166982922,
3233
+ "grad_norm": 1.4206922054290771,
3234
+ "learning_rate": 4.229599573731685e-06,
3235
+ "loss": 1.5643,
3236
+ "step": 922
3237
+ },
3238
+ {
3239
+ "epoch": 1.7533206831119545,
3240
+ "grad_norm": 1.3534013032913208,
3241
+ "learning_rate": 4.1041707373120356e-06,
3242
+ "loss": 1.5566,
3243
+ "step": 924
3244
+ },
3245
+ {
3246
+ "epoch": 1.7571157495256167,
3247
+ "grad_norm": 1.951189398765564,
3248
+ "learning_rate": 3.980550171308228e-06,
3249
+ "loss": 1.5418,
3250
+ "step": 926
3251
+ },
3252
+ {
3253
+ "epoch": 1.7609108159392788,
3254
+ "grad_norm": 1.3316164016723633,
3255
+ "learning_rate": 3.858742746302535e-06,
3256
+ "loss": 1.5778,
3257
+ "step": 928
3258
+ },
3259
+ {
3260
+ "epoch": 1.7647058823529411,
3261
+ "grad_norm": 1.3784003257751465,
3262
+ "learning_rate": 3.738753261440475e-06,
3263
+ "loss": 1.4794,
3264
+ "step": 930
3265
+ },
3266
+ {
3267
+ "epoch": 1.7685009487666035,
3268
+ "grad_norm": 1.3570363521575928,
3269
+ "learning_rate": 3.6205864442417136e-06,
3270
+ "loss": 1.6291,
3271
+ "step": 932
3272
+ },
3273
+ {
3274
+ "epoch": 1.7722960151802658,
3275
+ "grad_norm": 1.3584340810775757,
3276
+ "learning_rate": 3.5042469504138363e-06,
3277
+ "loss": 1.577,
3278
+ "step": 934
3279
+ },
3280
+ {
3281
+ "epoch": 1.776091081593928,
3282
+ "grad_norm": 1.3361767530441284,
3283
+ "learning_rate": 3.3897393636688368e-06,
3284
+ "loss": 1.5577,
3285
+ "step": 936
3286
+ },
3287
+ {
3288
+ "epoch": 1.77988614800759,
3289
+ "grad_norm": 1.3638248443603516,
3290
+ "learning_rate": 3.277068195542654e-06,
3291
+ "loss": 1.4791,
3292
+ "step": 938
3293
+ },
3294
+ {
3295
+ "epoch": 1.7836812144212524,
3296
+ "grad_norm": 1.3946592807769775,
3297
+ "learning_rate": 3.166237885217299e-06,
3298
+ "loss": 1.7023,
3299
+ "step": 940
3300
+ },
3301
+ {
3302
+ "epoch": 1.7874762808349147,
3303
+ "grad_norm": 1.4293212890625,
3304
+ "learning_rate": 3.0572527993460053e-06,
3305
+ "loss": 1.5444,
3306
+ "step": 942
3307
+ },
3308
+ {
3309
+ "epoch": 1.7912713472485768,
3310
+ "grad_norm": 1.3663233518600464,
3311
+ "learning_rate": 2.950117231881183e-06,
3312
+ "loss": 1.5505,
3313
+ "step": 944
3314
+ },
3315
+ {
3316
+ "epoch": 1.795066413662239,
3317
+ "grad_norm": 1.357879400253296,
3318
+ "learning_rate": 2.8448354039052216e-06,
3319
+ "loss": 1.5379,
3320
+ "step": 946
3321
+ },
3322
+ {
3323
+ "epoch": 1.7988614800759013,
3324
+ "grad_norm": 1.3362464904785156,
3325
+ "learning_rate": 2.741411463464211e-06,
3326
+ "loss": 1.6723,
3327
+ "step": 948
3328
+ },
3329
+ {
3330
+ "epoch": 1.8026565464895636,
3331
+ "grad_norm": 1.3323725461959839,
3332
+ "learning_rate": 2.639849485404505e-06,
3333
+ "loss": 1.475,
3334
+ "step": 950
3335
+ },
3336
+ {
3337
+ "epoch": 1.8064516129032258,
3338
+ "grad_norm": 2.3896121978759766,
3339
+ "learning_rate": 2.5401534712121146e-06,
3340
+ "loss": 1.6162,
3341
+ "step": 952
3342
+ },
3343
+ {
3344
+ "epoch": 1.810246679316888,
3345
+ "grad_norm": 1.4233585596084595,
3346
+ "learning_rate": 2.442327348855161e-06,
3347
+ "loss": 1.4973,
3348
+ "step": 954
3349
+ },
3350
+ {
3351
+ "epoch": 1.8140417457305502,
3352
+ "grad_norm": 2.8995790481567383,
3353
+ "learning_rate": 2.3463749726290286e-06,
3354
+ "loss": 1.5579,
3355
+ "step": 956
3356
+ },
3357
+ {
3358
+ "epoch": 1.8178368121442126,
3359
+ "grad_norm": 1.3937581777572632,
3360
+ "learning_rate": 2.252300123004525e-06,
3361
+ "loss": 1.6372,
3362
+ "step": 958
3363
+ },
3364
+ {
3365
+ "epoch": 1.821631878557875,
3366
+ "grad_norm": 1.2747756242752075,
3367
+ "learning_rate": 2.1601065064789704e-06,
3368
+ "loss": 1.48,
3369
+ "step": 960
3370
+ },
3371
+ {
3372
+ "epoch": 1.825426944971537,
3373
+ "grad_norm": 1.3919050693511963,
3374
+ "learning_rate": 2.069797755430097e-06,
3375
+ "loss": 1.4657,
3376
+ "step": 962
3377
+ },
3378
+ {
3379
+ "epoch": 1.8292220113851991,
3380
+ "grad_norm": 1.4085832834243774,
3381
+ "learning_rate": 1.981377427973019e-06,
3382
+ "loss": 1.647,
3383
+ "step": 964
3384
+ },
3385
+ {
3386
+ "epoch": 1.8330170777988615,
3387
+ "grad_norm": 1.4231733083724976,
3388
+ "learning_rate": 1.8948490078199764e-06,
3389
+ "loss": 1.6445,
3390
+ "step": 966
3391
+ },
3392
+ {
3393
+ "epoch": 1.8368121442125238,
3394
+ "grad_norm": 1.4949570894241333,
3395
+ "learning_rate": 1.8102159041430922e-06,
3396
+ "loss": 1.5626,
3397
+ "step": 968
3398
+ },
3399
+ {
3400
+ "epoch": 1.840607210626186,
3401
+ "grad_norm": 1.3209196329116821,
3402
+ "learning_rate": 1.7274814514400994e-06,
3403
+ "loss": 1.5203,
3404
+ "step": 970
3405
+ },
3406
+ {
3407
+ "epoch": 1.844402277039848,
3408
+ "grad_norm": 1.4556705951690674,
3409
+ "learning_rate": 1.6466489094028759e-06,
3410
+ "loss": 1.5087,
3411
+ "step": 972
3412
+ },
3413
+ {
3414
+ "epoch": 1.8481973434535104,
3415
+ "grad_norm": 1.3396247625350952,
3416
+ "learning_rate": 1.5677214627891179e-06,
3417
+ "loss": 1.6808,
3418
+ "step": 974
3419
+ },
3420
+ {
3421
+ "epoch": 1.8519924098671727,
3422
+ "grad_norm": 1.6221957206726074,
3423
+ "learning_rate": 1.4907022212967803e-06,
3424
+ "loss": 1.594,
3425
+ "step": 976
3426
+ },
3427
+ {
3428
+ "epoch": 1.855787476280835,
3429
+ "grad_norm": 1.2195303440093994,
3430
+ "learning_rate": 1.415594219441585e-06,
3431
+ "loss": 1.4427,
3432
+ "step": 978
3433
+ },
3434
+ {
3435
+ "epoch": 1.8595825426944972,
3436
+ "grad_norm": 1.3192423582077026,
3437
+ "learning_rate": 1.3424004164374837e-06,
3438
+ "loss": 1.54,
3439
+ "step": 980
3440
+ },
3441
+ {
3442
+ "epoch": 1.8633776091081593,
3443
+ "grad_norm": 1.3921012878417969,
3444
+ "learning_rate": 1.2711236960800287e-06,
3445
+ "loss": 1.5021,
3446
+ "step": 982
3447
+ },
3448
+ {
3449
+ "epoch": 1.8671726755218216,
3450
+ "grad_norm": 2.0219826698303223,
3451
+ "learning_rate": 1.2017668666327753e-06,
3452
+ "loss": 1.4205,
3453
+ "step": 984
3454
+ },
3455
+ {
3456
+ "epoch": 1.870967741935484,
3457
+ "grad_norm": 1.2949210405349731,
3458
+ "learning_rate": 1.1343326607166527e-06,
3459
+ "loss": 1.5071,
3460
+ "step": 986
3461
+ },
3462
+ {
3463
+ "epoch": 1.874762808349146,
3464
+ "grad_norm": 1.3908876180648804,
3465
+ "learning_rate": 1.0688237352022345e-06,
3466
+ "loss": 1.6749,
3467
+ "step": 988
3468
+ },
3469
+ {
3470
+ "epoch": 1.8785578747628082,
3471
+ "grad_norm": 1.4135441780090332,
3472
+ "learning_rate": 1.0052426711051666e-06,
3473
+ "loss": 1.4801,
3474
+ "step": 990
3475
+ },
3476
+ {
3477
+ "epoch": 1.8823529411764706,
3478
+ "grad_norm": 1.407795786857605,
3479
+ "learning_rate": 9.435919734843645e-07,
3480
+ "loss": 1.4804,
3481
+ "step": 992
3482
+ },
3483
+ {
3484
+ "epoch": 1.886148007590133,
3485
+ "grad_norm": 1.4486916065216064,
3486
+ "learning_rate": 8.83874071343388e-07,
3487
+ "loss": 1.6187,
3488
+ "step": 994
3489
+ },
3490
+ {
3491
+ "epoch": 1.889943074003795,
3492
+ "grad_norm": 1.2793864011764526,
3493
+ "learning_rate": 8.260913175347273e-07,
3494
+ "loss": 1.4298,
3495
+ "step": 996
3496
+ },
3497
+ {
3498
+ "epoch": 1.8937381404174574,
3499
+ "grad_norm": 1.2875016927719116,
3500
+ "learning_rate": 7.702459886670788e-07,
3501
+ "loss": 1.6438,
3502
+ "step": 998
3503
+ },
3504
+ {
3505
+ "epoch": 1.8975332068311195,
3506
+ "grad_norm": 1.3841239213943481,
3507
+ "learning_rate": 7.163402850156653e-07,
3508
+ "loss": 1.6605,
3509
+ "step": 1000
3510
+ },
3511
+ {
3512
+ "epoch": 1.9013282732447818,
3513
+ "grad_norm": 1.3545821905136108,
3514
+ "learning_rate": 6.643763304355566e-07,
3515
+ "loss": 1.5845,
3516
+ "step": 1002
3517
+ },
3518
+ {
3519
+ "epoch": 1.9051233396584442,
3520
+ "grad_norm": 1.5016220808029175,
3521
+ "learning_rate": 6.143561722779523e-07,
3522
+ "loss": 1.6205,
3523
+ "step": 1004
3524
+ },
3525
+ {
3526
+ "epoch": 1.9089184060721063,
3527
+ "grad_norm": 1.4386885166168213,
3528
+ "learning_rate": 5.662817813095633e-07,
3529
+ "loss": 1.6289,
3530
+ "step": 1006
3531
+ },
3532
+ {
3533
+ "epoch": 1.9127134724857684,
3534
+ "grad_norm": 1.3440179824829102,
3535
+ "learning_rate": 5.201550516349407e-07,
3536
+ "loss": 1.6306,
3537
+ "step": 1008
3538
+ },
3539
+ {
3540
+ "epoch": 1.9165085388994307,
3541
+ "grad_norm": 1.3130792379379272,
3542
+ "learning_rate": 4.7597780062184073e-07,
3543
+ "loss": 1.5329,
3544
+ "step": 1010
3545
+ },
3546
+ {
3547
+ "epoch": 1.920303605313093,
3548
+ "grad_norm": 1.3677467107772827,
3549
+ "learning_rate": 4.337517688296544e-07,
3550
+ "loss": 1.5104,
3551
+ "step": 1012
3552
+ },
3553
+ {
3554
+ "epoch": 1.9240986717267552,
3555
+ "grad_norm": 1.3812295198440552,
3556
+ "learning_rate": 3.9347861994078474e-07,
3557
+ "loss": 1.6983,
3558
+ "step": 1014
3559
+ },
3560
+ {
3561
+ "epoch": 1.9278937381404173,
3562
+ "grad_norm": 1.415624737739563,
3563
+ "learning_rate": 3.551599406951434e-07,
3564
+ "loss": 1.6901,
3565
+ "step": 1016
3566
+ },
3567
+ {
3568
+ "epoch": 1.9316888045540797,
3569
+ "grad_norm": 1.738711953163147,
3570
+ "learning_rate": 3.1879724082760076e-07,
3571
+ "loss": 1.61,
3572
+ "step": 1018
3573
+ },
3574
+ {
3575
+ "epoch": 1.935483870967742,
3576
+ "grad_norm": 1.5385488271713257,
3577
+ "learning_rate": 2.843919530085226e-07,
3578
+ "loss": 1.6271,
3579
+ "step": 1020
3580
+ },
3581
+ {
3582
+ "epoch": 1.9392789373814043,
3583
+ "grad_norm": 1.3073030710220337,
3584
+ "learning_rate": 2.51945432787315e-07,
3585
+ "loss": 1.5319,
3586
+ "step": 1022
3587
+ },
3588
+ {
3589
+ "epoch": 1.9430740037950665,
3590
+ "grad_norm": 1.30621337890625,
3591
+ "learning_rate": 2.21458958539017e-07,
3592
+ "loss": 1.5976,
3593
+ "step": 1024
3594
+ },
3595
+ {
3596
+ "epoch": 1.9468690702087286,
3597
+ "grad_norm": 1.7373992204666138,
3598
+ "learning_rate": 1.9293373141394122e-07,
3599
+ "loss": 1.6985,
3600
+ "step": 1026
3601
+ },
3602
+ {
3603
+ "epoch": 1.950664136622391,
3604
+ "grad_norm": 1.3110527992248535,
3605
+ "learning_rate": 1.6637087529033923e-07,
3606
+ "loss": 1.6146,
3607
+ "step": 1028
3608
+ },
3609
+ {
3610
+ "epoch": 1.9544592030360532,
3611
+ "grad_norm": 1.3716634511947632,
3612
+ "learning_rate": 1.4177143673011484e-07,
3613
+ "loss": 1.6099,
3614
+ "step": 1030
3615
+ },
3616
+ {
3617
+ "epoch": 1.9582542694497154,
3618
+ "grad_norm": 1.3418036699295044,
3619
+ "learning_rate": 1.191363849376237e-07,
3620
+ "loss": 1.6057,
3621
+ "step": 1032
3622
+ },
3623
+ {
3624
+ "epoch": 1.9620493358633775,
3625
+ "grad_norm": 1.314018726348877,
3626
+ "learning_rate": 9.846661172143723e-08,
3627
+ "loss": 1.5356,
3628
+ "step": 1034
3629
+ },
3630
+ {
3631
+ "epoch": 1.9658444022770398,
3632
+ "grad_norm": 1.330483078956604,
3633
+ "learning_rate": 7.976293145924852e-08,
3634
+ "loss": 1.7157,
3635
+ "step": 1036
3636
+ },
3637
+ {
3638
+ "epoch": 1.9696394686907022,
3639
+ "grad_norm": 1.333574652671814,
3640
+ "learning_rate": 6.302608106577568e-08,
3641
+ "loss": 1.549,
3642
+ "step": 1038
3643
+ },
3644
+ {
3645
+ "epoch": 1.9734345351043643,
3646
+ "grad_norm": 1.4075253009796143,
3647
+ "learning_rate": 4.825671996370185e-08,
3648
+ "loss": 1.5625,
3649
+ "step": 1040
3650
+ },
3651
+ {
3652
+ "epoch": 1.9772296015180264,
3653
+ "grad_norm": 1.7305724620819092,
3654
+ "learning_rate": 3.545543005773477e-08,
3655
+ "loss": 1.67,
3656
+ "step": 1042
3657
+ },
3658
+ {
3659
+ "epoch": 1.9810246679316887,
3660
+ "grad_norm": 1.3363792896270752,
3661
+ "learning_rate": 2.4622715711647426e-08,
3662
+ "loss": 1.4922,
3663
+ "step": 1044
3664
+ },
3665
+ {
3666
+ "epoch": 1.984819734345351,
3667
+ "grad_norm": 1.3556599617004395,
3668
+ "learning_rate": 1.5759003728427202e-08,
3669
+ "loss": 1.6319,
3670
+ "step": 1046
3671
+ },
3672
+ {
3673
+ "epoch": 1.9886148007590134,
3674
+ "grad_norm": 1.453833818435669,
3675
+ "learning_rate": 8.864643333450495e-09,
3676
+ "loss": 1.5772,
3677
+ "step": 1048
3678
+ },
3679
+ {
3680
+ "epoch": 1.9924098671726755,
3681
+ "grad_norm": 1.3945348262786865,
3682
+ "learning_rate": 3.9399061607103825e-09,
3683
+ "loss": 1.5458,
3684
+ "step": 1050
3685
+ },
3686
+ {
3687
+ "epoch": 1.9962049335863377,
3688
+ "grad_norm": 1.4707152843475342,
3689
+ "learning_rate": 9.84986242158481e-10,
3690
+ "loss": 1.6735,
3691
+ "step": 1052
3692
+ },
3693
+ {
3694
+ "epoch": 2.0,
3695
+ "grad_norm": 1.9164336919784546,
3696
+ "learning_rate": 0.0,
3697
+ "loss": 1.5462,
3698
+ "step": 1054
3699
+ }
3700
+ ],
3701
+ "logging_steps": 2,
3702
+ "max_steps": 1054,
3703
+ "num_input_tokens_seen": 0,
3704
+ "num_train_epochs": 2,
3705
+ "save_steps": 527,
3706
+ "stateful_callbacks": {
3707
+ "TrainerControl": {
3708
+ "args": {
3709
+ "should_epoch_stop": false,
3710
+ "should_evaluate": false,
3711
+ "should_log": false,
3712
+ "should_save": true,
3713
+ "should_training_stop": true
3714
+ },
3715
+ "attributes": {}
3716
+ }
3717
+ },
3718
+ "total_flos": 1.7824370872496947e+17,
3719
+ "train_batch_size": 8,
3720
+ "trial_name": null,
3721
+ "trial_params": null
3722
+ }
checkpoint-1054/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20386650688791ad0c29b49ae8cdcf0798f5d0868194e8c0a536314658aafe5a
3
+ size 5432
checkpoint-527/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-mni_Beng-coli-rand/",
3
+ "architectures": [
4
+ "Olmo2ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "eos_token_id": 100257,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 4096,
14
+ "model_type": "olmo2",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 32,
18
+ "pad_token_id": 100277,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 500000,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.48.0.dev0",
25
+ "use_cache": true,
26
+ "vocab_size": 100384
27
+ }
checkpoint-527/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 100257,
4
+ "pad_token_id": 100277,
5
+ "transformers_version": "4.48.0.dev0"
6
+ }
checkpoint-527/model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf05e46adda2632cb57e1073181e11a642f35accd6b19bc85b48b46b02c488b3
3
+ size 4950070472
checkpoint-527/model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
3
+ size 4991622816
checkpoint-527/model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
3
+ size 4924546896
checkpoint-527/model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
3
+ size 4857404928
checkpoint-527/model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
3
+ size 4857404928
checkpoint-527/model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ac37b035f5b3b77dccf772c1635bcd3a14fecffcbe71846266efe79d3b1aed0
3
+ size 4614509080
checkpoint-527/model.safetensors.index.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 29195517952
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
30
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
31
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
32
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
33
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
34
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
42
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
43
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
44
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
45
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
52
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
53
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
54
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
55
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
56
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
63
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
64
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
65
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
66
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
67
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
77
+ "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
85
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
86
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
87
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
88
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
89
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
97
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
98
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
99
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
100
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
108
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
109
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
110
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
111
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
118
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
119
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
120
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
121
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
122
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
129
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
130
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
131
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
132
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
133
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
140
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
141
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
142
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
143
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
144
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
151
+ "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
152
+ "model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
153
+ "model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
154
+ "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
155
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
162
+ "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
163
+ "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
164
+ "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
165
+ "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
166
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
173
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
174
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
175
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
176
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
177
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
184
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
185
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
186
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
187
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
188
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
195
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
196
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
197
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
198
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
199
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
206
+ "model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
207
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
208
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
209
+ "model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
210
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
217
+ "model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
218
+ "model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
219
+ "model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
220
+ "model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
221
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
228
+ "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
229
+ "model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
230
+ "model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
231
+ "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
232
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
239
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
240
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
241
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
242
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
243
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
244
+ "model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
245
+ "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
246
+ "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
247
+ "model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
250
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
251
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
252
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
253
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
254
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
255
+ "model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
256
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
257
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
258
+ "model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
265
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
266
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
269
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
272
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
273
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
274
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
275
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
276
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
277
+ "model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
278
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
279
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
280
+ "model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
283
+ "model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
284
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
285
+ "model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
286
+ "model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
287
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
288
+ "model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
289
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
290
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
291
+ "model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
294
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
295
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
296
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
297
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
298
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
299
+ "model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
300
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
301
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
302
+ "model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
303
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
304
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
305
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
306
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
307
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
308
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
309
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
310
+ "model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
311
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
312
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
313
+ "model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
314
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
315
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
316
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
317
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
318
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
319
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
320
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
321
+ "model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
322
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
323
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
324
+ "model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
325
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
326
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
327
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
328
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
329
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
330
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
331
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
332
+ "model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
333
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
334
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
335
+ "model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
336
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
337
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
338
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
339
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
340
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
341
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
342
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
343
+ "model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
344
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
345
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
346
+ "model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
347
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
348
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
349
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
350
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
351
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
352
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
353
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
354
+ "model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
355
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
356
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
357
+ "model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
358
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
359
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
360
+ "model.norm.weight": "model-00006-of-00006.safetensors"
361
+ }
362
+ }
checkpoint-527/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdc1efd17ae54e5b17650dce9d36a03c2ce0b552933aca9331857467c2ab67b5
3
+ size 13055369358
checkpoint-527/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
3
+ size 14244
checkpoint-527/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4988f45d958973fdae7bab9a472bd46eb48f56f526b60df9b90e4e353c03eae1
3
+ size 1064
checkpoint-527/trainer_state.json ADDED
@@ -0,0 +1,1874 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 527,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.003795066413662239,
13
+ "grad_norm": 98.7540512084961,
14
+ "learning_rate": 3.7735849056603773e-06,
15
+ "loss": 14.2228,
16
+ "step": 2
17
+ },
18
+ {
19
+ "epoch": 0.007590132827324478,
20
+ "grad_norm": 99.5528564453125,
21
+ "learning_rate": 7.547169811320755e-06,
22
+ "loss": 13.3495,
23
+ "step": 4
24
+ },
25
+ {
26
+ "epoch": 0.011385199240986717,
27
+ "grad_norm": 83.69811248779297,
28
+ "learning_rate": 1.1320754716981132e-05,
29
+ "loss": 12.5304,
30
+ "step": 6
31
+ },
32
+ {
33
+ "epoch": 0.015180265654648957,
34
+ "grad_norm": 47.37470626831055,
35
+ "learning_rate": 1.509433962264151e-05,
36
+ "loss": 9.4493,
37
+ "step": 8
38
+ },
39
+ {
40
+ "epoch": 0.018975332068311195,
41
+ "grad_norm": 31.21275520324707,
42
+ "learning_rate": 1.8867924528301888e-05,
43
+ "loss": 8.0006,
44
+ "step": 10
45
+ },
46
+ {
47
+ "epoch": 0.022770398481973434,
48
+ "grad_norm": 15.287549018859863,
49
+ "learning_rate": 2.2641509433962265e-05,
50
+ "loss": 6.4803,
51
+ "step": 12
52
+ },
53
+ {
54
+ "epoch": 0.026565464895635674,
55
+ "grad_norm": 50.968772888183594,
56
+ "learning_rate": 2.641509433962264e-05,
57
+ "loss": 6.7702,
58
+ "step": 14
59
+ },
60
+ {
61
+ "epoch": 0.030360531309297913,
62
+ "grad_norm": 28.34760856628418,
63
+ "learning_rate": 3.018867924528302e-05,
64
+ "loss": 6.2775,
65
+ "step": 16
66
+ },
67
+ {
68
+ "epoch": 0.03415559772296015,
69
+ "grad_norm": 24.7742862701416,
70
+ "learning_rate": 3.39622641509434e-05,
71
+ "loss": 5.9268,
72
+ "step": 18
73
+ },
74
+ {
75
+ "epoch": 0.03795066413662239,
76
+ "grad_norm": 62.243553161621094,
77
+ "learning_rate": 3.7735849056603776e-05,
78
+ "loss": 5.4478,
79
+ "step": 20
80
+ },
81
+ {
82
+ "epoch": 0.04174573055028463,
83
+ "grad_norm": 20.099931716918945,
84
+ "learning_rate": 4.150943396226415e-05,
85
+ "loss": 5.2172,
86
+ "step": 22
87
+ },
88
+ {
89
+ "epoch": 0.04554079696394687,
90
+ "grad_norm": 14.098124504089355,
91
+ "learning_rate": 4.528301886792453e-05,
92
+ "loss": 4.9133,
93
+ "step": 24
94
+ },
95
+ {
96
+ "epoch": 0.04933586337760911,
97
+ "grad_norm": 7.112690448760986,
98
+ "learning_rate": 4.9056603773584906e-05,
99
+ "loss": 4.7982,
100
+ "step": 26
101
+ },
102
+ {
103
+ "epoch": 0.05313092979127135,
104
+ "grad_norm": 13.210295677185059,
105
+ "learning_rate": 5.283018867924528e-05,
106
+ "loss": 4.7099,
107
+ "step": 28
108
+ },
109
+ {
110
+ "epoch": 0.056925996204933584,
111
+ "grad_norm": 68.6553726196289,
112
+ "learning_rate": 5.660377358490566e-05,
113
+ "loss": 4.3044,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.06072106261859583,
118
+ "grad_norm": 7.807187557220459,
119
+ "learning_rate": 6.037735849056604e-05,
120
+ "loss": 4.2902,
121
+ "step": 32
122
+ },
123
+ {
124
+ "epoch": 0.06451612903225806,
125
+ "grad_norm": 24.964153289794922,
126
+ "learning_rate": 6.415094339622641e-05,
127
+ "loss": 4.0632,
128
+ "step": 34
129
+ },
130
+ {
131
+ "epoch": 0.0683111954459203,
132
+ "grad_norm": 5.0253095626831055,
133
+ "learning_rate": 6.79245283018868e-05,
134
+ "loss": 4.0919,
135
+ "step": 36
136
+ },
137
+ {
138
+ "epoch": 0.07210626185958255,
139
+ "grad_norm": 10.098166465759277,
140
+ "learning_rate": 7.169811320754717e-05,
141
+ "loss": 3.9745,
142
+ "step": 38
143
+ },
144
+ {
145
+ "epoch": 0.07590132827324478,
146
+ "grad_norm": 6.226728439331055,
147
+ "learning_rate": 7.547169811320755e-05,
148
+ "loss": 4.0257,
149
+ "step": 40
150
+ },
151
+ {
152
+ "epoch": 0.07969639468690702,
153
+ "grad_norm": 9.49015998840332,
154
+ "learning_rate": 7.924528301886794e-05,
155
+ "loss": 3.6716,
156
+ "step": 42
157
+ },
158
+ {
159
+ "epoch": 0.08349146110056926,
160
+ "grad_norm": 8.414839744567871,
161
+ "learning_rate": 8.30188679245283e-05,
162
+ "loss": 3.8115,
163
+ "step": 44
164
+ },
165
+ {
166
+ "epoch": 0.0872865275142315,
167
+ "grad_norm": 7.90946102142334,
168
+ "learning_rate": 8.679245283018869e-05,
169
+ "loss": 3.8998,
170
+ "step": 46
171
+ },
172
+ {
173
+ "epoch": 0.09108159392789374,
174
+ "grad_norm": 6.811845302581787,
175
+ "learning_rate": 9.056603773584906e-05,
176
+ "loss": 3.72,
177
+ "step": 48
178
+ },
179
+ {
180
+ "epoch": 0.09487666034155598,
181
+ "grad_norm": 8.63953971862793,
182
+ "learning_rate": 9.433962264150944e-05,
183
+ "loss": 3.8366,
184
+ "step": 50
185
+ },
186
+ {
187
+ "epoch": 0.09867172675521822,
188
+ "grad_norm": 5.25341272354126,
189
+ "learning_rate": 9.811320754716981e-05,
190
+ "loss": 3.6955,
191
+ "step": 52
192
+ },
193
+ {
194
+ "epoch": 0.10246679316888045,
195
+ "grad_norm": 6.284265041351318,
196
+ "learning_rate": 9.999975375283309e-05,
197
+ "loss": 3.5963,
198
+ "step": 54
199
+ },
200
+ {
201
+ "epoch": 0.1062618595825427,
202
+ "grad_norm": 8.026937484741211,
203
+ "learning_rate": 9.999778379005078e-05,
204
+ "loss": 3.668,
205
+ "step": 56
206
+ },
207
+ {
208
+ "epoch": 0.11005692599620494,
209
+ "grad_norm": 9.422395706176758,
210
+ "learning_rate": 9.99938439421016e-05,
211
+ "loss": 3.6292,
212
+ "step": 58
213
+ },
214
+ {
215
+ "epoch": 0.11385199240986717,
216
+ "grad_norm": 3.755744695663452,
217
+ "learning_rate": 9.99879343642134e-05,
218
+ "loss": 3.5123,
219
+ "step": 60
220
+ },
221
+ {
222
+ "epoch": 0.11764705882352941,
223
+ "grad_norm": 8.59239387512207,
224
+ "learning_rate": 9.99800552892203e-05,
225
+ "loss": 3.5657,
226
+ "step": 62
227
+ },
228
+ {
229
+ "epoch": 0.12144212523719165,
230
+ "grad_norm": 6.495412826538086,
231
+ "learning_rate": 9.997020702755353e-05,
232
+ "loss": 3.4943,
233
+ "step": 64
234
+ },
235
+ {
236
+ "epoch": 0.1252371916508539,
237
+ "grad_norm": 4.058749675750732,
238
+ "learning_rate": 9.995838996722914e-05,
239
+ "loss": 3.3784,
240
+ "step": 66
241
+ },
242
+ {
243
+ "epoch": 0.12903225806451613,
244
+ "grad_norm": 5.1243696212768555,
245
+ "learning_rate": 9.994460457383284e-05,
246
+ "loss": 3.5299,
247
+ "step": 68
248
+ },
249
+ {
250
+ "epoch": 0.13282732447817835,
251
+ "grad_norm": 3.1002564430236816,
252
+ "learning_rate": 9.992885139050154e-05,
253
+ "loss": 3.233,
254
+ "step": 70
255
+ },
256
+ {
257
+ "epoch": 0.1366223908918406,
258
+ "grad_norm": 9.574880599975586,
259
+ "learning_rate": 9.991113103790198e-05,
260
+ "loss": 3.3179,
261
+ "step": 72
262
+ },
263
+ {
264
+ "epoch": 0.14041745730550284,
265
+ "grad_norm": 4.202469825744629,
266
+ "learning_rate": 9.98914442142063e-05,
267
+ "loss": 3.2057,
268
+ "step": 74
269
+ },
270
+ {
271
+ "epoch": 0.1442125237191651,
272
+ "grad_norm": 9.224685668945312,
273
+ "learning_rate": 9.986979169506453e-05,
274
+ "loss": 3.2404,
275
+ "step": 76
276
+ },
277
+ {
278
+ "epoch": 0.14800759013282733,
279
+ "grad_norm": 6.027818202972412,
280
+ "learning_rate": 9.9846174333574e-05,
281
+ "loss": 3.3198,
282
+ "step": 78
283
+ },
284
+ {
285
+ "epoch": 0.15180265654648956,
286
+ "grad_norm": 5.427716255187988,
287
+ "learning_rate": 9.982059306024577e-05,
288
+ "loss": 3.2348,
289
+ "step": 80
290
+ },
291
+ {
292
+ "epoch": 0.1555977229601518,
293
+ "grad_norm": 3.3449645042419434,
294
+ "learning_rate": 9.979304888296792e-05,
295
+ "loss": 3.1103,
296
+ "step": 82
297
+ },
298
+ {
299
+ "epoch": 0.15939278937381404,
300
+ "grad_norm": 3.7018656730651855,
301
+ "learning_rate": 9.976354288696588e-05,
302
+ "loss": 3.0045,
303
+ "step": 84
304
+ },
305
+ {
306
+ "epoch": 0.16318785578747627,
307
+ "grad_norm": 3.1451151371002197,
308
+ "learning_rate": 9.973207623475965e-05,
309
+ "loss": 3.2071,
310
+ "step": 86
311
+ },
312
+ {
313
+ "epoch": 0.16698292220113853,
314
+ "grad_norm": 3.133887529373169,
315
+ "learning_rate": 9.9698650166118e-05,
316
+ "loss": 3.0677,
317
+ "step": 88
318
+ },
319
+ {
320
+ "epoch": 0.17077798861480076,
321
+ "grad_norm": 5.542338848114014,
322
+ "learning_rate": 9.966326599800967e-05,
323
+ "loss": 3.0122,
324
+ "step": 90
325
+ },
326
+ {
327
+ "epoch": 0.174573055028463,
328
+ "grad_norm": 3.292200803756714,
329
+ "learning_rate": 9.962592512455138e-05,
330
+ "loss": 2.9215,
331
+ "step": 92
332
+ },
333
+ {
334
+ "epoch": 0.17836812144212524,
335
+ "grad_norm": 3.4283339977264404,
336
+ "learning_rate": 9.958662901695303e-05,
337
+ "loss": 2.9141,
338
+ "step": 94
339
+ },
340
+ {
341
+ "epoch": 0.18216318785578747,
342
+ "grad_norm": 3.9418880939483643,
343
+ "learning_rate": 9.954537922345961e-05,
344
+ "loss": 2.7547,
345
+ "step": 96
346
+ },
347
+ {
348
+ "epoch": 0.1859582542694497,
349
+ "grad_norm": 3.3023762702941895,
350
+ "learning_rate": 9.950217736929029e-05,
351
+ "loss": 2.8594,
352
+ "step": 98
353
+ },
354
+ {
355
+ "epoch": 0.18975332068311196,
356
+ "grad_norm": 3.1366522312164307,
357
+ "learning_rate": 9.945702515657434e-05,
358
+ "loss": 2.8524,
359
+ "step": 100
360
+ },
361
+ {
362
+ "epoch": 0.1935483870967742,
363
+ "grad_norm": 2.613105535507202,
364
+ "learning_rate": 9.940992436428409e-05,
365
+ "loss": 2.8663,
366
+ "step": 102
367
+ },
368
+ {
369
+ "epoch": 0.19734345351043645,
370
+ "grad_norm": 5.562861442565918,
371
+ "learning_rate": 9.936087684816486e-05,
372
+ "loss": 3.1047,
373
+ "step": 104
374
+ },
375
+ {
376
+ "epoch": 0.20113851992409867,
377
+ "grad_norm": 4.076806545257568,
378
+ "learning_rate": 9.930988454066177e-05,
379
+ "loss": 2.7816,
380
+ "step": 106
381
+ },
382
+ {
383
+ "epoch": 0.2049335863377609,
384
+ "grad_norm": 2.7189831733703613,
385
+ "learning_rate": 9.92569494508437e-05,
386
+ "loss": 2.8001,
387
+ "step": 108
388
+ },
389
+ {
390
+ "epoch": 0.20872865275142316,
391
+ "grad_norm": 4.94251012802124,
392
+ "learning_rate": 9.920207366432402e-05,
393
+ "loss": 2.7223,
394
+ "step": 110
395
+ },
396
+ {
397
+ "epoch": 0.2125237191650854,
398
+ "grad_norm": 2.9818546772003174,
399
+ "learning_rate": 9.914525934317855e-05,
400
+ "loss": 2.8046,
401
+ "step": 112
402
+ },
403
+ {
404
+ "epoch": 0.21631878557874762,
405
+ "grad_norm": 3.87678599357605,
406
+ "learning_rate": 9.908650872586029e-05,
407
+ "loss": 2.7476,
408
+ "step": 114
409
+ },
410
+ {
411
+ "epoch": 0.22011385199240988,
412
+ "grad_norm": 2.9942760467529297,
413
+ "learning_rate": 9.90258241271112e-05,
414
+ "loss": 2.6728,
415
+ "step": 116
416
+ },
417
+ {
418
+ "epoch": 0.2239089184060721,
419
+ "grad_norm": 4.912055969238281,
420
+ "learning_rate": 9.896320793787106e-05,
421
+ "loss": 2.6644,
422
+ "step": 118
423
+ },
424
+ {
425
+ "epoch": 0.22770398481973433,
426
+ "grad_norm": 3.1557791233062744,
427
+ "learning_rate": 9.889866262518331e-05,
428
+ "loss": 2.7656,
429
+ "step": 120
430
+ },
431
+ {
432
+ "epoch": 0.2314990512333966,
433
+ "grad_norm": 8.984029769897461,
434
+ "learning_rate": 9.883219073209772e-05,
435
+ "loss": 2.7668,
436
+ "step": 122
437
+ },
438
+ {
439
+ "epoch": 0.23529411764705882,
440
+ "grad_norm": 6.998969078063965,
441
+ "learning_rate": 9.876379487757034e-05,
442
+ "loss": 2.7245,
443
+ "step": 124
444
+ },
445
+ {
446
+ "epoch": 0.23908918406072105,
447
+ "grad_norm": 2.730355978012085,
448
+ "learning_rate": 9.869347775636015e-05,
449
+ "loss": 2.7342,
450
+ "step": 126
451
+ },
452
+ {
453
+ "epoch": 0.2428842504743833,
454
+ "grad_norm": 8.605497360229492,
455
+ "learning_rate": 9.862124213892304e-05,
456
+ "loss": 2.776,
457
+ "step": 128
458
+ },
459
+ {
460
+ "epoch": 0.24667931688804554,
461
+ "grad_norm": 5.028979301452637,
462
+ "learning_rate": 9.85470908713026e-05,
463
+ "loss": 2.722,
464
+ "step": 130
465
+ },
466
+ {
467
+ "epoch": 0.2504743833017078,
468
+ "grad_norm": 3.3529725074768066,
469
+ "learning_rate": 9.847102687501797e-05,
470
+ "loss": 2.7299,
471
+ "step": 132
472
+ },
473
+ {
474
+ "epoch": 0.25426944971537,
475
+ "grad_norm": 4.99077844619751,
476
+ "learning_rate": 9.839305314694873e-05,
477
+ "loss": 2.7569,
478
+ "step": 134
479
+ },
480
+ {
481
+ "epoch": 0.25806451612903225,
482
+ "grad_norm": 5.339693546295166,
483
+ "learning_rate": 9.831317275921685e-05,
484
+ "loss": 2.579,
485
+ "step": 136
486
+ },
487
+ {
488
+ "epoch": 0.2618595825426945,
489
+ "grad_norm": 5.73229455947876,
490
+ "learning_rate": 9.823138885906566e-05,
491
+ "loss": 2.5465,
492
+ "step": 138
493
+ },
494
+ {
495
+ "epoch": 0.2656546489563567,
496
+ "grad_norm": 2.466779947280884,
497
+ "learning_rate": 9.814770466873585e-05,
498
+ "loss": 2.7257,
499
+ "step": 140
500
+ },
501
+ {
502
+ "epoch": 0.269449715370019,
503
+ "grad_norm": 4.790260314941406,
504
+ "learning_rate": 9.806212348533838e-05,
505
+ "loss": 2.545,
506
+ "step": 142
507
+ },
508
+ {
509
+ "epoch": 0.2732447817836812,
510
+ "grad_norm": 4.156448841094971,
511
+ "learning_rate": 9.797464868072488e-05,
512
+ "loss": 2.6578,
513
+ "step": 144
514
+ },
515
+ {
516
+ "epoch": 0.27703984819734345,
517
+ "grad_norm": 2.7191035747528076,
518
+ "learning_rate": 9.788528370135443e-05,
519
+ "loss": 2.5779,
520
+ "step": 146
521
+ },
522
+ {
523
+ "epoch": 0.2808349146110057,
524
+ "grad_norm": 2.6859488487243652,
525
+ "learning_rate": 9.77940320681581e-05,
526
+ "loss": 2.5819,
527
+ "step": 148
528
+ },
529
+ {
530
+ "epoch": 0.2846299810246679,
531
+ "grad_norm": 3.9940454959869385,
532
+ "learning_rate": 9.77008973764e-05,
533
+ "loss": 2.417,
534
+ "step": 150
535
+ },
536
+ {
537
+ "epoch": 0.2884250474383302,
538
+ "grad_norm": 2.97194504737854,
539
+ "learning_rate": 9.760588329553571e-05,
540
+ "loss": 2.4018,
541
+ "step": 152
542
+ },
543
+ {
544
+ "epoch": 0.2922201138519924,
545
+ "grad_norm": 4.698624134063721,
546
+ "learning_rate": 9.750899356906775e-05,
547
+ "loss": 2.5237,
548
+ "step": 154
549
+ },
550
+ {
551
+ "epoch": 0.29601518026565465,
552
+ "grad_norm": 3.8055150508880615,
553
+ "learning_rate": 9.741023201439803e-05,
554
+ "loss": 2.4408,
555
+ "step": 156
556
+ },
557
+ {
558
+ "epoch": 0.2998102466793169,
559
+ "grad_norm": 3.4264442920684814,
560
+ "learning_rate": 9.730960252267743e-05,
561
+ "loss": 2.5248,
562
+ "step": 158
563
+ },
564
+ {
565
+ "epoch": 0.3036053130929791,
566
+ "grad_norm": 2.7180609703063965,
567
+ "learning_rate": 9.720710905865256e-05,
568
+ "loss": 2.4598,
569
+ "step": 160
570
+ },
571
+ {
572
+ "epoch": 0.30740037950664134,
573
+ "grad_norm": 4.305523872375488,
574
+ "learning_rate": 9.710275566050951e-05,
575
+ "loss": 2.5028,
576
+ "step": 162
577
+ },
578
+ {
579
+ "epoch": 0.3111954459203036,
580
+ "grad_norm": 2.756655693054199,
581
+ "learning_rate": 9.699654643971472e-05,
582
+ "loss": 2.5315,
583
+ "step": 164
584
+ },
585
+ {
586
+ "epoch": 0.31499051233396586,
587
+ "grad_norm": 2.449230432510376,
588
+ "learning_rate": 9.688848558085306e-05,
589
+ "loss": 2.3747,
590
+ "step": 166
591
+ },
592
+ {
593
+ "epoch": 0.3187855787476281,
594
+ "grad_norm": 3.7404186725616455,
595
+ "learning_rate": 9.677857734146289e-05,
596
+ "loss": 2.4413,
597
+ "step": 168
598
+ },
599
+ {
600
+ "epoch": 0.3225806451612903,
601
+ "grad_norm": 2.4831082820892334,
602
+ "learning_rate": 9.666682605186835e-05,
603
+ "loss": 2.5693,
604
+ "step": 170
605
+ },
606
+ {
607
+ "epoch": 0.32637571157495254,
608
+ "grad_norm": 3.9603495597839355,
609
+ "learning_rate": 9.655323611500875e-05,
610
+ "loss": 2.603,
611
+ "step": 172
612
+ },
613
+ {
614
+ "epoch": 0.3301707779886148,
615
+ "grad_norm": 2.5853846073150635,
616
+ "learning_rate": 9.643781200626511e-05,
617
+ "loss": 2.3858,
618
+ "step": 174
619
+ },
620
+ {
621
+ "epoch": 0.33396584440227706,
622
+ "grad_norm": 2.5267770290374756,
623
+ "learning_rate": 9.632055827328382e-05,
624
+ "loss": 2.4411,
625
+ "step": 176
626
+ },
627
+ {
628
+ "epoch": 0.3377609108159393,
629
+ "grad_norm": 2.9036340713500977,
630
+ "learning_rate": 9.620147953579737e-05,
631
+ "loss": 2.4533,
632
+ "step": 178
633
+ },
634
+ {
635
+ "epoch": 0.3415559772296015,
636
+ "grad_norm": 2.319636344909668,
637
+ "learning_rate": 9.608058048544251e-05,
638
+ "loss": 2.4877,
639
+ "step": 180
640
+ },
641
+ {
642
+ "epoch": 0.34535104364326374,
643
+ "grad_norm": 3.325531244277954,
644
+ "learning_rate": 9.595786588557532e-05,
645
+ "loss": 2.4027,
646
+ "step": 182
647
+ },
648
+ {
649
+ "epoch": 0.349146110056926,
650
+ "grad_norm": 11.142248153686523,
651
+ "learning_rate": 9.583334057108346e-05,
652
+ "loss": 2.3184,
653
+ "step": 184
654
+ },
655
+ {
656
+ "epoch": 0.35294117647058826,
657
+ "grad_norm": 2.423501968383789,
658
+ "learning_rate": 9.570700944819584e-05,
659
+ "loss": 2.5982,
660
+ "step": 186
661
+ },
662
+ {
663
+ "epoch": 0.3567362428842505,
664
+ "grad_norm": 2.4559223651885986,
665
+ "learning_rate": 9.557887749428913e-05,
666
+ "loss": 2.4276,
667
+ "step": 188
668
+ },
669
+ {
670
+ "epoch": 0.3605313092979127,
671
+ "grad_norm": 2.703495502471924,
672
+ "learning_rate": 9.544894975769186e-05,
673
+ "loss": 2.3763,
674
+ "step": 190
675
+ },
676
+ {
677
+ "epoch": 0.36432637571157495,
678
+ "grad_norm": 1.9051834344863892,
679
+ "learning_rate": 9.531723135748529e-05,
680
+ "loss": 2.3381,
681
+ "step": 192
682
+ },
683
+ {
684
+ "epoch": 0.3681214421252372,
685
+ "grad_norm": 2.33522629737854,
686
+ "learning_rate": 9.518372748330194e-05,
687
+ "loss": 2.3207,
688
+ "step": 194
689
+ },
690
+ {
691
+ "epoch": 0.3719165085388994,
692
+ "grad_norm": 2.3043212890625,
693
+ "learning_rate": 9.504844339512095e-05,
694
+ "loss": 2.2691,
695
+ "step": 196
696
+ },
697
+ {
698
+ "epoch": 0.3757115749525617,
699
+ "grad_norm": 2.3060500621795654,
700
+ "learning_rate": 9.4911384423061e-05,
701
+ "loss": 2.4741,
702
+ "step": 198
703
+ },
704
+ {
705
+ "epoch": 0.3795066413662239,
706
+ "grad_norm": 2.431614398956299,
707
+ "learning_rate": 9.477255596717012e-05,
708
+ "loss": 2.3706,
709
+ "step": 200
710
+ },
711
+ {
712
+ "epoch": 0.38330170777988615,
713
+ "grad_norm": 2.571744918823242,
714
+ "learning_rate": 9.463196349721308e-05,
715
+ "loss": 2.4345,
716
+ "step": 202
717
+ },
718
+ {
719
+ "epoch": 0.3870967741935484,
720
+ "grad_norm": 2.950385332107544,
721
+ "learning_rate": 9.448961255245584e-05,
722
+ "loss": 2.0978,
723
+ "step": 204
724
+ },
725
+ {
726
+ "epoch": 0.3908918406072106,
727
+ "grad_norm": 6.460769176483154,
728
+ "learning_rate": 9.434550874144728e-05,
729
+ "loss": 2.2981,
730
+ "step": 206
731
+ },
732
+ {
733
+ "epoch": 0.3946869070208729,
734
+ "grad_norm": 2.294574022293091,
735
+ "learning_rate": 9.419965774179824e-05,
736
+ "loss": 2.3483,
737
+ "step": 208
738
+ },
739
+ {
740
+ "epoch": 0.3984819734345351,
741
+ "grad_norm": 2.530029296875,
742
+ "learning_rate": 9.405206529995785e-05,
743
+ "loss": 2.4667,
744
+ "step": 210
745
+ },
746
+ {
747
+ "epoch": 0.40227703984819735,
748
+ "grad_norm": 2.0644922256469727,
749
+ "learning_rate": 9.39027372309871e-05,
750
+ "loss": 2.2927,
751
+ "step": 212
752
+ },
753
+ {
754
+ "epoch": 0.4060721062618596,
755
+ "grad_norm": 2.369694948196411,
756
+ "learning_rate": 9.375167941832973e-05,
757
+ "loss": 2.4687,
758
+ "step": 214
759
+ },
760
+ {
761
+ "epoch": 0.4098671726755218,
762
+ "grad_norm": 2.3800711631774902,
763
+ "learning_rate": 9.359889781358042e-05,
764
+ "loss": 2.3473,
765
+ "step": 216
766
+ },
767
+ {
768
+ "epoch": 0.41366223908918404,
769
+ "grad_norm": 2.2723309993743896,
770
+ "learning_rate": 9.344439843625034e-05,
771
+ "loss": 2.4378,
772
+ "step": 218
773
+ },
774
+ {
775
+ "epoch": 0.4174573055028463,
776
+ "grad_norm": 2.2413368225097656,
777
+ "learning_rate": 9.32881873735299e-05,
778
+ "loss": 2.391,
779
+ "step": 220
780
+ },
781
+ {
782
+ "epoch": 0.42125237191650855,
783
+ "grad_norm": 2.273754596710205,
784
+ "learning_rate": 9.313027078004903e-05,
785
+ "loss": 2.2899,
786
+ "step": 222
787
+ },
788
+ {
789
+ "epoch": 0.4250474383301708,
790
+ "grad_norm": 2.2374515533447266,
791
+ "learning_rate": 9.297065487763462e-05,
792
+ "loss": 2.3854,
793
+ "step": 224
794
+ },
795
+ {
796
+ "epoch": 0.428842504743833,
797
+ "grad_norm": 1.9647648334503174,
798
+ "learning_rate": 9.280934595506536e-05,
799
+ "loss": 2.1885,
800
+ "step": 226
801
+ },
802
+ {
803
+ "epoch": 0.43263757115749524,
804
+ "grad_norm": 2.4773480892181396,
805
+ "learning_rate": 9.264635036782405e-05,
806
+ "loss": 2.1969,
807
+ "step": 228
808
+ },
809
+ {
810
+ "epoch": 0.4364326375711575,
811
+ "grad_norm": 4.396137237548828,
812
+ "learning_rate": 9.248167453784711e-05,
813
+ "loss": 2.2705,
814
+ "step": 230
815
+ },
816
+ {
817
+ "epoch": 0.44022770398481975,
818
+ "grad_norm": 2.6246371269226074,
819
+ "learning_rate": 9.231532495327165e-05,
820
+ "loss": 2.3367,
821
+ "step": 232
822
+ },
823
+ {
824
+ "epoch": 0.444022770398482,
825
+ "grad_norm": 2.36479115486145,
826
+ "learning_rate": 9.21473081681797e-05,
827
+ "loss": 2.4254,
828
+ "step": 234
829
+ },
830
+ {
831
+ "epoch": 0.4478178368121442,
832
+ "grad_norm": 2.2640645503997803,
833
+ "learning_rate": 9.197763080234019e-05,
834
+ "loss": 2.198,
835
+ "step": 236
836
+ },
837
+ {
838
+ "epoch": 0.45161290322580644,
839
+ "grad_norm": 2.6508326530456543,
840
+ "learning_rate": 9.180629954094792e-05,
841
+ "loss": 2.253,
842
+ "step": 238
843
+ },
844
+ {
845
+ "epoch": 0.45540796963946867,
846
+ "grad_norm": 3.5617713928222656,
847
+ "learning_rate": 9.163332113436032e-05,
848
+ "loss": 2.1892,
849
+ "step": 240
850
+ },
851
+ {
852
+ "epoch": 0.45920303605313095,
853
+ "grad_norm": 2.4162395000457764,
854
+ "learning_rate": 9.145870239783142e-05,
855
+ "loss": 2.3496,
856
+ "step": 242
857
+ },
858
+ {
859
+ "epoch": 0.4629981024667932,
860
+ "grad_norm": 3.857107162475586,
861
+ "learning_rate": 9.128245021124334e-05,
862
+ "loss": 2.364,
863
+ "step": 244
864
+ },
865
+ {
866
+ "epoch": 0.4667931688804554,
867
+ "grad_norm": 2.012956142425537,
868
+ "learning_rate": 9.110457151883523e-05,
869
+ "loss": 2.2571,
870
+ "step": 246
871
+ },
872
+ {
873
+ "epoch": 0.47058823529411764,
874
+ "grad_norm": 1.9764139652252197,
875
+ "learning_rate": 9.092507332892968e-05,
876
+ "loss": 2.2254,
877
+ "step": 248
878
+ },
879
+ {
880
+ "epoch": 0.47438330170777987,
881
+ "grad_norm": 1.8924527168273926,
882
+ "learning_rate": 9.07439627136566e-05,
883
+ "loss": 2.1948,
884
+ "step": 250
885
+ },
886
+ {
887
+ "epoch": 0.4781783681214421,
888
+ "grad_norm": 2.961359739303589,
889
+ "learning_rate": 9.056124680867457e-05,
890
+ "loss": 2.1587,
891
+ "step": 252
892
+ },
893
+ {
894
+ "epoch": 0.4819734345351044,
895
+ "grad_norm": 2.010711193084717,
896
+ "learning_rate": 9.037693281288969e-05,
897
+ "loss": 2.3077,
898
+ "step": 254
899
+ },
900
+ {
901
+ "epoch": 0.4857685009487666,
902
+ "grad_norm": 2.0528528690338135,
903
+ "learning_rate": 9.019102798817197e-05,
904
+ "loss": 2.2348,
905
+ "step": 256
906
+ },
907
+ {
908
+ "epoch": 0.48956356736242884,
909
+ "grad_norm": 3.3071796894073486,
910
+ "learning_rate": 9.000353965906917e-05,
911
+ "loss": 2.3238,
912
+ "step": 258
913
+ },
914
+ {
915
+ "epoch": 0.49335863377609107,
916
+ "grad_norm": 2.2678682804107666,
917
+ "learning_rate": 8.981447521251831e-05,
918
+ "loss": 2.2368,
919
+ "step": 260
920
+ },
921
+ {
922
+ "epoch": 0.4971537001897533,
923
+ "grad_norm": 2.4855003356933594,
924
+ "learning_rate": 8.962384209755452e-05,
925
+ "loss": 2.0563,
926
+ "step": 262
927
+ },
928
+ {
929
+ "epoch": 0.5009487666034156,
930
+ "grad_norm": 2.1087934970855713,
931
+ "learning_rate": 8.943164782501765e-05,
932
+ "loss": 2.2727,
933
+ "step": 264
934
+ },
935
+ {
936
+ "epoch": 0.5047438330170778,
937
+ "grad_norm": 2.3885719776153564,
938
+ "learning_rate": 8.923789996725624e-05,
939
+ "loss": 2.2086,
940
+ "step": 266
941
+ },
942
+ {
943
+ "epoch": 0.50853889943074,
944
+ "grad_norm": 3.1673200130462646,
945
+ "learning_rate": 8.904260615782927e-05,
946
+ "loss": 2.1385,
947
+ "step": 268
948
+ },
949
+ {
950
+ "epoch": 0.5123339658444023,
951
+ "grad_norm": 2.06791353225708,
952
+ "learning_rate": 8.884577409120535e-05,
953
+ "loss": 2.2336,
954
+ "step": 270
955
+ },
956
+ {
957
+ "epoch": 0.5161290322580645,
958
+ "grad_norm": 2.3750381469726562,
959
+ "learning_rate": 8.864741152245963e-05,
960
+ "loss": 2.1569,
961
+ "step": 272
962
+ },
963
+ {
964
+ "epoch": 0.5199240986717267,
965
+ "grad_norm": 2.1411375999450684,
966
+ "learning_rate": 8.84475262669681e-05,
967
+ "loss": 2.2936,
968
+ "step": 274
969
+ },
970
+ {
971
+ "epoch": 0.523719165085389,
972
+ "grad_norm": 2.0463004112243652,
973
+ "learning_rate": 8.824612620009987e-05,
974
+ "loss": 2.3689,
975
+ "step": 276
976
+ },
977
+ {
978
+ "epoch": 0.5275142314990512,
979
+ "grad_norm": 1.7346696853637695,
980
+ "learning_rate": 8.804321925690672e-05,
981
+ "loss": 2.2445,
982
+ "step": 278
983
+ },
984
+ {
985
+ "epoch": 0.5313092979127134,
986
+ "grad_norm": 2.2764406204223633,
987
+ "learning_rate": 8.783881343181055e-05,
988
+ "loss": 2.1715,
989
+ "step": 280
990
+ },
991
+ {
992
+ "epoch": 0.5351043643263758,
993
+ "grad_norm": 2.2156970500946045,
994
+ "learning_rate": 8.763291677828838e-05,
995
+ "loss": 2.0616,
996
+ "step": 282
997
+ },
998
+ {
999
+ "epoch": 0.538899430740038,
1000
+ "grad_norm": 2.32037091255188,
1001
+ "learning_rate": 8.742553740855506e-05,
1002
+ "loss": 2.2687,
1003
+ "step": 284
1004
+ },
1005
+ {
1006
+ "epoch": 0.5426944971537002,
1007
+ "grad_norm": 1.864304542541504,
1008
+ "learning_rate": 8.721668349324364e-05,
1009
+ "loss": 2.2962,
1010
+ "step": 286
1011
+ },
1012
+ {
1013
+ "epoch": 0.5464895635673624,
1014
+ "grad_norm": 2.056326389312744,
1015
+ "learning_rate": 8.700636326108342e-05,
1016
+ "loss": 2.3313,
1017
+ "step": 288
1018
+ },
1019
+ {
1020
+ "epoch": 0.5502846299810247,
1021
+ "grad_norm": 2.4540798664093018,
1022
+ "learning_rate": 8.679458499857582e-05,
1023
+ "loss": 2.2259,
1024
+ "step": 290
1025
+ },
1026
+ {
1027
+ "epoch": 0.5540796963946869,
1028
+ "grad_norm": 1.975327968597412,
1029
+ "learning_rate": 8.658135704966786e-05,
1030
+ "loss": 2.1908,
1031
+ "step": 292
1032
+ },
1033
+ {
1034
+ "epoch": 0.5578747628083491,
1035
+ "grad_norm": 1.679593801498413,
1036
+ "learning_rate": 8.636668781542336e-05,
1037
+ "loss": 2.1169,
1038
+ "step": 294
1039
+ },
1040
+ {
1041
+ "epoch": 0.5616698292220114,
1042
+ "grad_norm": 1.7750844955444336,
1043
+ "learning_rate": 8.615058575369202e-05,
1044
+ "loss": 2.0965,
1045
+ "step": 296
1046
+ },
1047
+ {
1048
+ "epoch": 0.5654648956356736,
1049
+ "grad_norm": 1.9540330171585083,
1050
+ "learning_rate": 8.593305937877614e-05,
1051
+ "loss": 2.1185,
1052
+ "step": 298
1053
+ },
1054
+ {
1055
+ "epoch": 0.5692599620493358,
1056
+ "grad_norm": 3.0039901733398438,
1057
+ "learning_rate": 8.571411726109519e-05,
1058
+ "loss": 2.2415,
1059
+ "step": 300
1060
+ },
1061
+ {
1062
+ "epoch": 0.573055028462998,
1063
+ "grad_norm": 2.0792276859283447,
1064
+ "learning_rate": 8.549376802684812e-05,
1065
+ "loss": 2.2909,
1066
+ "step": 302
1067
+ },
1068
+ {
1069
+ "epoch": 0.5768500948766604,
1070
+ "grad_norm": 1.9235445261001587,
1071
+ "learning_rate": 8.527202035767349e-05,
1072
+ "loss": 2.2691,
1073
+ "step": 304
1074
+ },
1075
+ {
1076
+ "epoch": 0.5806451612903226,
1077
+ "grad_norm": 1.9486608505249023,
1078
+ "learning_rate": 8.504888299030747e-05,
1079
+ "loss": 2.141,
1080
+ "step": 306
1081
+ },
1082
+ {
1083
+ "epoch": 0.5844402277039848,
1084
+ "grad_norm": 1.959185242652893,
1085
+ "learning_rate": 8.482436471623951e-05,
1086
+ "loss": 2.1965,
1087
+ "step": 308
1088
+ },
1089
+ {
1090
+ "epoch": 0.5882352941176471,
1091
+ "grad_norm": 5.812629699707031,
1092
+ "learning_rate": 8.459847438136605e-05,
1093
+ "loss": 2.012,
1094
+ "step": 310
1095
+ },
1096
+ {
1097
+ "epoch": 0.5920303605313093,
1098
+ "grad_norm": 1.9838637113571167,
1099
+ "learning_rate": 8.437122088564198e-05,
1100
+ "loss": 2.074,
1101
+ "step": 312
1102
+ },
1103
+ {
1104
+ "epoch": 0.5958254269449715,
1105
+ "grad_norm": 1.9467284679412842,
1106
+ "learning_rate": 8.414261318272996e-05,
1107
+ "loss": 2.1882,
1108
+ "step": 314
1109
+ },
1110
+ {
1111
+ "epoch": 0.5996204933586338,
1112
+ "grad_norm": 1.763068675994873,
1113
+ "learning_rate": 8.391266027964771e-05,
1114
+ "loss": 2.2197,
1115
+ "step": 316
1116
+ },
1117
+ {
1118
+ "epoch": 0.603415559772296,
1119
+ "grad_norm": 2.123964309692383,
1120
+ "learning_rate": 8.368137123641302e-05,
1121
+ "loss": 2.1306,
1122
+ "step": 318
1123
+ },
1124
+ {
1125
+ "epoch": 0.6072106261859582,
1126
+ "grad_norm": 1.9844577312469482,
1127
+ "learning_rate": 8.344875516568695e-05,
1128
+ "loss": 2.2215,
1129
+ "step": 320
1130
+ },
1131
+ {
1132
+ "epoch": 0.6110056925996205,
1133
+ "grad_norm": 1.8439053297042847,
1134
+ "learning_rate": 8.321482123241464e-05,
1135
+ "loss": 2.0638,
1136
+ "step": 322
1137
+ },
1138
+ {
1139
+ "epoch": 0.6148007590132827,
1140
+ "grad_norm": 1.7768611907958984,
1141
+ "learning_rate": 8.297957865346437e-05,
1142
+ "loss": 2.0954,
1143
+ "step": 324
1144
+ },
1145
+ {
1146
+ "epoch": 0.618595825426945,
1147
+ "grad_norm": 2.3415918350219727,
1148
+ "learning_rate": 8.274303669726426e-05,
1149
+ "loss": 1.9216,
1150
+ "step": 326
1151
+ },
1152
+ {
1153
+ "epoch": 0.6223908918406073,
1154
+ "grad_norm": 1.9908041954040527,
1155
+ "learning_rate": 8.250520468343722e-05,
1156
+ "loss": 2.1316,
1157
+ "step": 328
1158
+ },
1159
+ {
1160
+ "epoch": 0.6261859582542695,
1161
+ "grad_norm": 1.989737868309021,
1162
+ "learning_rate": 8.226609198243372e-05,
1163
+ "loss": 2.1663,
1164
+ "step": 330
1165
+ },
1166
+ {
1167
+ "epoch": 0.6299810246679317,
1168
+ "grad_norm": 2.194958209991455,
1169
+ "learning_rate": 8.202570801516256e-05,
1170
+ "loss": 2.0314,
1171
+ "step": 332
1172
+ },
1173
+ {
1174
+ "epoch": 0.6337760910815939,
1175
+ "grad_norm": 1.9709926843643188,
1176
+ "learning_rate": 8.178406225261981e-05,
1177
+ "loss": 2.0792,
1178
+ "step": 334
1179
+ },
1180
+ {
1181
+ "epoch": 0.6375711574952562,
1182
+ "grad_norm": 1.8470232486724854,
1183
+ "learning_rate": 8.15411642155155e-05,
1184
+ "loss": 2.0086,
1185
+ "step": 336
1186
+ },
1187
+ {
1188
+ "epoch": 0.6413662239089184,
1189
+ "grad_norm": 1.961173415184021,
1190
+ "learning_rate": 8.129702347389865e-05,
1191
+ "loss": 2.1516,
1192
+ "step": 338
1193
+ },
1194
+ {
1195
+ "epoch": 0.6451612903225806,
1196
+ "grad_norm": 1.9438867568969727,
1197
+ "learning_rate": 8.105164964678009e-05,
1198
+ "loss": 2.3398,
1199
+ "step": 340
1200
+ },
1201
+ {
1202
+ "epoch": 0.6489563567362429,
1203
+ "grad_norm": 1.8040043115615845,
1204
+ "learning_rate": 8.080505240175363e-05,
1205
+ "loss": 2.1578,
1206
+ "step": 342
1207
+ },
1208
+ {
1209
+ "epoch": 0.6527514231499051,
1210
+ "grad_norm": 2.0405383110046387,
1211
+ "learning_rate": 8.055724145461495e-05,
1212
+ "loss": 1.9948,
1213
+ "step": 344
1214
+ },
1215
+ {
1216
+ "epoch": 0.6565464895635673,
1217
+ "grad_norm": 2.0209884643554688,
1218
+ "learning_rate": 8.030822656897902e-05,
1219
+ "loss": 2.1048,
1220
+ "step": 346
1221
+ },
1222
+ {
1223
+ "epoch": 0.6603415559772297,
1224
+ "grad_norm": 1.9259743690490723,
1225
+ "learning_rate": 8.005801755589532e-05,
1226
+ "loss": 1.9457,
1227
+ "step": 348
1228
+ },
1229
+ {
1230
+ "epoch": 0.6641366223908919,
1231
+ "grad_norm": 2.5305731296539307,
1232
+ "learning_rate": 7.980662427346127e-05,
1233
+ "loss": 1.8099,
1234
+ "step": 350
1235
+ },
1236
+ {
1237
+ "epoch": 0.6679316888045541,
1238
+ "grad_norm": 2.0857901573181152,
1239
+ "learning_rate": 7.955405662643384e-05,
1240
+ "loss": 1.8904,
1241
+ "step": 352
1242
+ },
1243
+ {
1244
+ "epoch": 0.6717267552182163,
1245
+ "grad_norm": 2.1652462482452393,
1246
+ "learning_rate": 7.930032456583931e-05,
1247
+ "loss": 2.0716,
1248
+ "step": 354
1249
+ },
1250
+ {
1251
+ "epoch": 0.6755218216318786,
1252
+ "grad_norm": 2.2173564434051514,
1253
+ "learning_rate": 7.904543808858127e-05,
1254
+ "loss": 1.9861,
1255
+ "step": 356
1256
+ },
1257
+ {
1258
+ "epoch": 0.6793168880455408,
1259
+ "grad_norm": 1.7087043523788452,
1260
+ "learning_rate": 7.878940723704664e-05,
1261
+ "loss": 1.9788,
1262
+ "step": 358
1263
+ },
1264
+ {
1265
+ "epoch": 0.683111954459203,
1266
+ "grad_norm": 2.3170816898345947,
1267
+ "learning_rate": 7.853224209871007e-05,
1268
+ "loss": 2.0999,
1269
+ "step": 360
1270
+ },
1271
+ {
1272
+ "epoch": 0.6869070208728653,
1273
+ "grad_norm": 1.8516716957092285,
1274
+ "learning_rate": 7.82739528057365e-05,
1275
+ "loss": 1.9476,
1276
+ "step": 362
1277
+ },
1278
+ {
1279
+ "epoch": 0.6907020872865275,
1280
+ "grad_norm": 1.87705659866333,
1281
+ "learning_rate": 7.801454953458193e-05,
1282
+ "loss": 1.9741,
1283
+ "step": 364
1284
+ },
1285
+ {
1286
+ "epoch": 0.6944971537001897,
1287
+ "grad_norm": 2.0102131366729736,
1288
+ "learning_rate": 7.775404250559249e-05,
1289
+ "loss": 2.2415,
1290
+ "step": 366
1291
+ },
1292
+ {
1293
+ "epoch": 0.698292220113852,
1294
+ "grad_norm": 1.992819905281067,
1295
+ "learning_rate": 7.749244198260175e-05,
1296
+ "loss": 2.0201,
1297
+ "step": 368
1298
+ },
1299
+ {
1300
+ "epoch": 0.7020872865275142,
1301
+ "grad_norm": 2.0950779914855957,
1302
+ "learning_rate": 7.722975827252638e-05,
1303
+ "loss": 2.2209,
1304
+ "step": 370
1305
+ },
1306
+ {
1307
+ "epoch": 0.7058823529411765,
1308
+ "grad_norm": 7.29935884475708,
1309
+ "learning_rate": 7.696600172495997e-05,
1310
+ "loss": 2.0799,
1311
+ "step": 372
1312
+ },
1313
+ {
1314
+ "epoch": 0.7096774193548387,
1315
+ "grad_norm": 1.9377464056015015,
1316
+ "learning_rate": 7.670118273176534e-05,
1317
+ "loss": 2.0681,
1318
+ "step": 374
1319
+ },
1320
+ {
1321
+ "epoch": 0.713472485768501,
1322
+ "grad_norm": 2.465165853500366,
1323
+ "learning_rate": 7.643531172666513e-05,
1324
+ "loss": 2.0705,
1325
+ "step": 376
1326
+ },
1327
+ {
1328
+ "epoch": 0.7172675521821632,
1329
+ "grad_norm": 1.7911758422851562,
1330
+ "learning_rate": 7.616839918483061e-05,
1331
+ "loss": 2.1271,
1332
+ "step": 378
1333
+ },
1334
+ {
1335
+ "epoch": 0.7210626185958254,
1336
+ "grad_norm": 1.8003861904144287,
1337
+ "learning_rate": 7.590045562246902e-05,
1338
+ "loss": 2.0348,
1339
+ "step": 380
1340
+ },
1341
+ {
1342
+ "epoch": 0.7248576850094877,
1343
+ "grad_norm": 1.9686284065246582,
1344
+ "learning_rate": 7.563149159640929e-05,
1345
+ "loss": 2.0137,
1346
+ "step": 382
1347
+ },
1348
+ {
1349
+ "epoch": 0.7286527514231499,
1350
+ "grad_norm": 1.6355502605438232,
1351
+ "learning_rate": 7.5361517703686e-05,
1352
+ "loss": 1.978,
1353
+ "step": 384
1354
+ },
1355
+ {
1356
+ "epoch": 0.7324478178368121,
1357
+ "grad_norm": 1.841895341873169,
1358
+ "learning_rate": 7.509054458112202e-05,
1359
+ "loss": 2.2376,
1360
+ "step": 386
1361
+ },
1362
+ {
1363
+ "epoch": 0.7362428842504743,
1364
+ "grad_norm": 1.7870166301727295,
1365
+ "learning_rate": 7.481858290490917e-05,
1366
+ "loss": 1.9684,
1367
+ "step": 388
1368
+ },
1369
+ {
1370
+ "epoch": 0.7400379506641366,
1371
+ "grad_norm": 1.8254350423812866,
1372
+ "learning_rate": 7.45456433901879e-05,
1373
+ "loss": 2.0589,
1374
+ "step": 390
1375
+ },
1376
+ {
1377
+ "epoch": 0.7438330170777988,
1378
+ "grad_norm": 1.7817878723144531,
1379
+ "learning_rate": 7.427173679062484e-05,
1380
+ "loss": 2.0451,
1381
+ "step": 392
1382
+ },
1383
+ {
1384
+ "epoch": 0.7476280834914611,
1385
+ "grad_norm": 1.9436228275299072,
1386
+ "learning_rate": 7.399687389798933e-05,
1387
+ "loss": 2.1209,
1388
+ "step": 394
1389
+ },
1390
+ {
1391
+ "epoch": 0.7514231499051234,
1392
+ "grad_norm": 1.7727830410003662,
1393
+ "learning_rate": 7.372106554172802e-05,
1394
+ "loss": 1.997,
1395
+ "step": 396
1396
+ },
1397
+ {
1398
+ "epoch": 0.7552182163187856,
1399
+ "grad_norm": 1.7208454608917236,
1400
+ "learning_rate": 7.344432258853841e-05,
1401
+ "loss": 2.0055,
1402
+ "step": 398
1403
+ },
1404
+ {
1405
+ "epoch": 0.7590132827324478,
1406
+ "grad_norm": 1.7357947826385498,
1407
+ "learning_rate": 7.316665594194053e-05,
1408
+ "loss": 2.0916,
1409
+ "step": 400
1410
+ },
1411
+ {
1412
+ "epoch": 0.7628083491461101,
1413
+ "grad_norm": 1.5990426540374756,
1414
+ "learning_rate": 7.288807654184747e-05,
1415
+ "loss": 2.0385,
1416
+ "step": 402
1417
+ },
1418
+ {
1419
+ "epoch": 0.7666034155597723,
1420
+ "grad_norm": 1.6348865032196045,
1421
+ "learning_rate": 7.260859536413429e-05,
1422
+ "loss": 2.0467,
1423
+ "step": 404
1424
+ },
1425
+ {
1426
+ "epoch": 0.7703984819734345,
1427
+ "grad_norm": 1.546189785003662,
1428
+ "learning_rate": 7.232822342020557e-05,
1429
+ "loss": 1.8996,
1430
+ "step": 406
1431
+ },
1432
+ {
1433
+ "epoch": 0.7741935483870968,
1434
+ "grad_norm": 1.7460343837738037,
1435
+ "learning_rate": 7.204697175656165e-05,
1436
+ "loss": 2.1052,
1437
+ "step": 408
1438
+ },
1439
+ {
1440
+ "epoch": 0.777988614800759,
1441
+ "grad_norm": 1.6906976699829102,
1442
+ "learning_rate": 7.176485145436325e-05,
1443
+ "loss": 2.0588,
1444
+ "step": 410
1445
+ },
1446
+ {
1447
+ "epoch": 0.7817836812144212,
1448
+ "grad_norm": 1.9893949031829834,
1449
+ "learning_rate": 7.148187362899505e-05,
1450
+ "loss": 2.0776,
1451
+ "step": 412
1452
+ },
1453
+ {
1454
+ "epoch": 0.7855787476280834,
1455
+ "grad_norm": 1.6658051013946533,
1456
+ "learning_rate": 7.119804942962762e-05,
1457
+ "loss": 1.8487,
1458
+ "step": 414
1459
+ },
1460
+ {
1461
+ "epoch": 0.7893738140417458,
1462
+ "grad_norm": 1.7261987924575806,
1463
+ "learning_rate": 7.091339003877826e-05,
1464
+ "loss": 2.0895,
1465
+ "step": 416
1466
+ },
1467
+ {
1468
+ "epoch": 0.793168880455408,
1469
+ "grad_norm": 1.6543688774108887,
1470
+ "learning_rate": 7.062790667187029e-05,
1471
+ "loss": 1.9453,
1472
+ "step": 418
1473
+ },
1474
+ {
1475
+ "epoch": 0.7969639468690702,
1476
+ "grad_norm": 1.6983455419540405,
1477
+ "learning_rate": 7.034161057679127e-05,
1478
+ "loss": 1.9985,
1479
+ "step": 420
1480
+ },
1481
+ {
1482
+ "epoch": 0.8007590132827325,
1483
+ "grad_norm": 1.6611037254333496,
1484
+ "learning_rate": 7.005451303344979e-05,
1485
+ "loss": 1.9633,
1486
+ "step": 422
1487
+ },
1488
+ {
1489
+ "epoch": 0.8045540796963947,
1490
+ "grad_norm": 1.979058861732483,
1491
+ "learning_rate": 6.976662535333107e-05,
1492
+ "loss": 1.8833,
1493
+ "step": 424
1494
+ },
1495
+ {
1496
+ "epoch": 0.8083491461100569,
1497
+ "grad_norm": 2.006376266479492,
1498
+ "learning_rate": 6.947795887905127e-05,
1499
+ "loss": 1.8475,
1500
+ "step": 426
1501
+ },
1502
+ {
1503
+ "epoch": 0.8121442125237192,
1504
+ "grad_norm": 1.8918062448501587,
1505
+ "learning_rate": 6.918852498391063e-05,
1506
+ "loss": 1.9098,
1507
+ "step": 428
1508
+ },
1509
+ {
1510
+ "epoch": 0.8159392789373814,
1511
+ "grad_norm": 1.933212161064148,
1512
+ "learning_rate": 6.889833507144532e-05,
1513
+ "loss": 2.1358,
1514
+ "step": 430
1515
+ },
1516
+ {
1517
+ "epoch": 0.8197343453510436,
1518
+ "grad_norm": 1.8028526306152344,
1519
+ "learning_rate": 6.860740057497823e-05,
1520
+ "loss": 1.9799,
1521
+ "step": 432
1522
+ },
1523
+ {
1524
+ "epoch": 0.8235294117647058,
1525
+ "grad_norm": 2.174152374267578,
1526
+ "learning_rate": 6.831573295716837e-05,
1527
+ "loss": 2.0668,
1528
+ "step": 434
1529
+ },
1530
+ {
1531
+ "epoch": 0.8273244781783681,
1532
+ "grad_norm": 2.581892728805542,
1533
+ "learning_rate": 6.802334370955941e-05,
1534
+ "loss": 1.9118,
1535
+ "step": 436
1536
+ },
1537
+ {
1538
+ "epoch": 0.8311195445920304,
1539
+ "grad_norm": 1.7758573293685913,
1540
+ "learning_rate": 6.773024435212678e-05,
1541
+ "loss": 2.0122,
1542
+ "step": 438
1543
+ },
1544
+ {
1545
+ "epoch": 0.8349146110056926,
1546
+ "grad_norm": 1.7795305252075195,
1547
+ "learning_rate": 6.743644643282388e-05,
1548
+ "loss": 2.1017,
1549
+ "step": 440
1550
+ },
1551
+ {
1552
+ "epoch": 0.8387096774193549,
1553
+ "grad_norm": 1.9165265560150146,
1554
+ "learning_rate": 6.714196152712704e-05,
1555
+ "loss": 2.1366,
1556
+ "step": 442
1557
+ },
1558
+ {
1559
+ "epoch": 0.8425047438330171,
1560
+ "grad_norm": 3.430307149887085,
1561
+ "learning_rate": 6.684680123757949e-05,
1562
+ "loss": 1.9484,
1563
+ "step": 444
1564
+ },
1565
+ {
1566
+ "epoch": 0.8462998102466793,
1567
+ "grad_norm": 1.6847901344299316,
1568
+ "learning_rate": 6.65509771933342e-05,
1569
+ "loss": 1.8189,
1570
+ "step": 446
1571
+ },
1572
+ {
1573
+ "epoch": 0.8500948766603416,
1574
+ "grad_norm": 1.6464290618896484,
1575
+ "learning_rate": 6.625450104969572e-05,
1576
+ "loss": 1.9903,
1577
+ "step": 448
1578
+ },
1579
+ {
1580
+ "epoch": 0.8538899430740038,
1581
+ "grad_norm": 1.7267745733261108,
1582
+ "learning_rate": 6.595738448766095e-05,
1583
+ "loss": 1.9767,
1584
+ "step": 450
1585
+ },
1586
+ {
1587
+ "epoch": 0.857685009487666,
1588
+ "grad_norm": 1.9262585639953613,
1589
+ "learning_rate": 6.565963921345895e-05,
1590
+ "loss": 1.9669,
1591
+ "step": 452
1592
+ },
1593
+ {
1594
+ "epoch": 0.8614800759013282,
1595
+ "grad_norm": 1.6643258333206177,
1596
+ "learning_rate": 6.536127695808964e-05,
1597
+ "loss": 1.9634,
1598
+ "step": 454
1599
+ },
1600
+ {
1601
+ "epoch": 0.8652751423149905,
1602
+ "grad_norm": 1.577966332435608,
1603
+ "learning_rate": 6.506230947686172e-05,
1604
+ "loss": 1.8958,
1605
+ "step": 456
1606
+ },
1607
+ {
1608
+ "epoch": 0.8690702087286527,
1609
+ "grad_norm": 2.840637683868408,
1610
+ "learning_rate": 6.47627485489294e-05,
1611
+ "loss": 2.0766,
1612
+ "step": 458
1613
+ },
1614
+ {
1615
+ "epoch": 0.872865275142315,
1616
+ "grad_norm": 1.7307078838348389,
1617
+ "learning_rate": 6.446260597682839e-05,
1618
+ "loss": 1.846,
1619
+ "step": 460
1620
+ },
1621
+ {
1622
+ "epoch": 0.8766603415559773,
1623
+ "grad_norm": 1.7440413236618042,
1624
+ "learning_rate": 6.416189358601088e-05,
1625
+ "loss": 1.8265,
1626
+ "step": 462
1627
+ },
1628
+ {
1629
+ "epoch": 0.8804554079696395,
1630
+ "grad_norm": 1.5109995603561401,
1631
+ "learning_rate": 6.386062322437954e-05,
1632
+ "loss": 1.8226,
1633
+ "step": 464
1634
+ },
1635
+ {
1636
+ "epoch": 0.8842504743833017,
1637
+ "grad_norm": 1.671194076538086,
1638
+ "learning_rate": 6.355880676182086e-05,
1639
+ "loss": 2.038,
1640
+ "step": 466
1641
+ },
1642
+ {
1643
+ "epoch": 0.888045540796964,
1644
+ "grad_norm": 1.5358309745788574,
1645
+ "learning_rate": 6.325645608973735e-05,
1646
+ "loss": 1.9325,
1647
+ "step": 468
1648
+ },
1649
+ {
1650
+ "epoch": 0.8918406072106262,
1651
+ "grad_norm": 1.6306613683700562,
1652
+ "learning_rate": 6.295358312057914e-05,
1653
+ "loss": 1.9589,
1654
+ "step": 470
1655
+ },
1656
+ {
1657
+ "epoch": 0.8956356736242884,
1658
+ "grad_norm": 1.5553851127624512,
1659
+ "learning_rate": 6.26501997873745e-05,
1660
+ "loss": 1.8156,
1661
+ "step": 472
1662
+ },
1663
+ {
1664
+ "epoch": 0.8994307400379506,
1665
+ "grad_norm": 1.6885318756103516,
1666
+ "learning_rate": 6.234631804325981e-05,
1667
+ "loss": 1.9792,
1668
+ "step": 474
1669
+ },
1670
+ {
1671
+ "epoch": 0.9032258064516129,
1672
+ "grad_norm": 5.679869651794434,
1673
+ "learning_rate": 6.204194986100857e-05,
1674
+ "loss": 1.9165,
1675
+ "step": 476
1676
+ },
1677
+ {
1678
+ "epoch": 0.9070208728652751,
1679
+ "grad_norm": 1.6526105403900146,
1680
+ "learning_rate": 6.173710723255966e-05,
1681
+ "loss": 2.0554,
1682
+ "step": 478
1683
+ },
1684
+ {
1685
+ "epoch": 0.9108159392789373,
1686
+ "grad_norm": 1.577702283859253,
1687
+ "learning_rate": 6.143180216854487e-05,
1688
+ "loss": 1.7735,
1689
+ "step": 480
1690
+ },
1691
+ {
1692
+ "epoch": 0.9146110056925996,
1693
+ "grad_norm": 2.24104380607605,
1694
+ "learning_rate": 6.112604669781572e-05,
1695
+ "loss": 1.9426,
1696
+ "step": 482
1697
+ },
1698
+ {
1699
+ "epoch": 0.9184060721062619,
1700
+ "grad_norm": 1.5590384006500244,
1701
+ "learning_rate": 6.081985286696949e-05,
1702
+ "loss": 2.0698,
1703
+ "step": 484
1704
+ },
1705
+ {
1706
+ "epoch": 0.9222011385199241,
1707
+ "grad_norm": 1.7752505540847778,
1708
+ "learning_rate": 6.051323273987463e-05,
1709
+ "loss": 1.889,
1710
+ "step": 486
1711
+ },
1712
+ {
1713
+ "epoch": 0.9259962049335864,
1714
+ "grad_norm": 1.7600066661834717,
1715
+ "learning_rate": 6.020619839719538e-05,
1716
+ "loss": 1.9693,
1717
+ "step": 488
1718
+ },
1719
+ {
1720
+ "epoch": 0.9297912713472486,
1721
+ "grad_norm": 1.5522412061691284,
1722
+ "learning_rate": 5.989876193591589e-05,
1723
+ "loss": 1.9813,
1724
+ "step": 490
1725
+ },
1726
+ {
1727
+ "epoch": 0.9335863377609108,
1728
+ "grad_norm": 2.223928213119507,
1729
+ "learning_rate": 5.959093546886356e-05,
1730
+ "loss": 1.954,
1731
+ "step": 492
1732
+ },
1733
+ {
1734
+ "epoch": 0.937381404174573,
1735
+ "grad_norm": 2.466945171356201,
1736
+ "learning_rate": 5.928273112423177e-05,
1737
+ "loss": 1.7863,
1738
+ "step": 494
1739
+ },
1740
+ {
1741
+ "epoch": 0.9411764705882353,
1742
+ "grad_norm": 1.743293285369873,
1743
+ "learning_rate": 5.897416104510211e-05,
1744
+ "loss": 1.9432,
1745
+ "step": 496
1746
+ },
1747
+ {
1748
+ "epoch": 0.9449715370018975,
1749
+ "grad_norm": 1.6011027097702026,
1750
+ "learning_rate": 5.866523738896587e-05,
1751
+ "loss": 1.8718,
1752
+ "step": 498
1753
+ },
1754
+ {
1755
+ "epoch": 0.9487666034155597,
1756
+ "grad_norm": 1.6478995084762573,
1757
+ "learning_rate": 5.835597232724511e-05,
1758
+ "loss": 1.9411,
1759
+ "step": 500
1760
+ },
1761
+ {
1762
+ "epoch": 0.952561669829222,
1763
+ "grad_norm": 1.6733437776565552,
1764
+ "learning_rate": 5.804637804481306e-05,
1765
+ "loss": 1.8868,
1766
+ "step": 502
1767
+ },
1768
+ {
1769
+ "epoch": 0.9563567362428842,
1770
+ "grad_norm": 1.6197586059570312,
1771
+ "learning_rate": 5.773646673951406e-05,
1772
+ "loss": 1.9805,
1773
+ "step": 504
1774
+ },
1775
+ {
1776
+ "epoch": 0.9601518026565465,
1777
+ "grad_norm": 1.7262201309204102,
1778
+ "learning_rate": 5.742625062168303e-05,
1779
+ "loss": 2.0499,
1780
+ "step": 506
1781
+ },
1782
+ {
1783
+ "epoch": 0.9639468690702088,
1784
+ "grad_norm": 1.5373488664627075,
1785
+ "learning_rate": 5.7115741913664264e-05,
1786
+ "loss": 1.8859,
1787
+ "step": 508
1788
+ },
1789
+ {
1790
+ "epoch": 0.967741935483871,
1791
+ "grad_norm": 2.0669445991516113,
1792
+ "learning_rate": 5.680495284933e-05,
1793
+ "loss": 1.9428,
1794
+ "step": 510
1795
+ },
1796
+ {
1797
+ "epoch": 0.9715370018975332,
1798
+ "grad_norm": 2.279287099838257,
1799
+ "learning_rate": 5.649389567359831e-05,
1800
+ "loss": 1.9444,
1801
+ "step": 512
1802
+ },
1803
+ {
1804
+ "epoch": 0.9753320683111955,
1805
+ "grad_norm": 1.7030115127563477,
1806
+ "learning_rate": 5.6182582641950764e-05,
1807
+ "loss": 1.7837,
1808
+ "step": 514
1809
+ },
1810
+ {
1811
+ "epoch": 0.9791271347248577,
1812
+ "grad_norm": 1.6407768726348877,
1813
+ "learning_rate": 5.58710260199495e-05,
1814
+ "loss": 1.8909,
1815
+ "step": 516
1816
+ },
1817
+ {
1818
+ "epoch": 0.9829222011385199,
1819
+ "grad_norm": 1.5273981094360352,
1820
+ "learning_rate": 5.555923808275395e-05,
1821
+ "loss": 1.736,
1822
+ "step": 518
1823
+ },
1824
+ {
1825
+ "epoch": 0.9867172675521821,
1826
+ "grad_norm": 1.762691617012024,
1827
+ "learning_rate": 5.5247231114637256e-05,
1828
+ "loss": 1.7998,
1829
+ "step": 520
1830
+ },
1831
+ {
1832
+ "epoch": 0.9905123339658444,
1833
+ "grad_norm": 1.6185078620910645,
1834
+ "learning_rate": 5.4935017408502274e-05,
1835
+ "loss": 1.9654,
1836
+ "step": 522
1837
+ },
1838
+ {
1839
+ "epoch": 0.9943074003795066,
1840
+ "grad_norm": 1.666943907737732,
1841
+ "learning_rate": 5.462260926539722e-05,
1842
+ "loss": 1.9379,
1843
+ "step": 524
1844
+ },
1845
+ {
1846
+ "epoch": 0.9981024667931688,
1847
+ "grad_norm": 1.5249921083450317,
1848
+ "learning_rate": 5.431001899403098e-05,
1849
+ "loss": 1.9387,
1850
+ "step": 526
1851
+ }
1852
+ ],
1853
+ "logging_steps": 2,
1854
+ "max_steps": 1054,
1855
+ "num_input_tokens_seen": 0,
1856
+ "num_train_epochs": 2,
1857
+ "save_steps": 527,
1858
+ "stateful_callbacks": {
1859
+ "TrainerControl": {
1860
+ "args": {
1861
+ "should_epoch_stop": false,
1862
+ "should_evaluate": false,
1863
+ "should_log": false,
1864
+ "should_save": true,
1865
+ "should_training_stop": false
1866
+ },
1867
+ "attributes": {}
1868
+ }
1869
+ },
1870
+ "total_flos": 8.912185436248474e+16,
1871
+ "train_batch_size": 8,
1872
+ "trial_name": null,
1873
+ "trial_params": null
1874
+ }
checkpoint-527/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20386650688791ad0c29b49ae8cdcf0798f5d0868194e8c0a536314658aafe5a
3
+ size 5432
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-mni_Beng-coli-rand/",
3
+ "architectures": [
4
+ "Olmo2ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "eos_token_id": 100257,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 4096,
14
+ "model_type": "olmo2",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 32,
18
+ "pad_token_id": 100277,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_scaling": null,
21
+ "rope_theta": 500000,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.48.0.dev0",
25
+ "use_cache": true,
26
+ "vocab_size": 100384
27
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": 100257,
4
+ "pad_token_id": 100277,
5
+ "transformers_version": "4.48.0.dev0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d1480335fcfd79184fe631e1b0aa77a59ac348fa5ac329223dcdf46a1bd81bd
3
+ size 4950070472
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:de0b6a357d03676c4986588aaf4dc96afc3f44a0498514961d2b2cfa1940655e
3
+ size 4991622816
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1038a7d346a681a8fb6949e054c2246f3f3c80e826855c1cec6af1155cc607d
3
+ size 4924546896
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33c0a21146ace02d36928787ae7f34be868f7c81b894dea98ec7b0e5a3ea01b2
3
+ size 4857404928
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7f82a3014ccfc0f67208f63785ae4bc71f09aba86db48bf6139d18178abbfed
3
+ size 4857404928
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a028ac98f31b7584432073229033962115043c4b055b0381c6d75b53761827f3
3
+ size 4614509080
model.safetensors.index.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 29195517952
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
27
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
30
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
31
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
32
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
33
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
34
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
35
+ "model.layers.10.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
36
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
38
+ "model.layers.10.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
42
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
43
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
44
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
45
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
46
+ "model.layers.11.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
47
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
48
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
49
+ "model.layers.11.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
52
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
53
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
54
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
55
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
56
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
57
+ "model.layers.12.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
58
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
59
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
60
+ "model.layers.12.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
63
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
64
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
65
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
66
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
67
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
68
+ "model.layers.13.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
69
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
70
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
71
+ "model.layers.13.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
77
+ "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
79
+ "model.layers.14.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
81
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
82
+ "model.layers.14.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
85
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
86
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
87
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
88
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
89
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00003-of-00006.safetensors",
90
+ "model.layers.15.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
91
+ "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
92
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
93
+ "model.layers.15.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
97
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
98
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
99
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
100
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
101
+ "model.layers.16.self_attn.k_norm.weight": "model-00003-of-00006.safetensors",
102
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
103
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
104
+ "model.layers.16.self_attn.q_norm.weight": "model-00003-of-00006.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
108
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
109
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
110
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
111
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
112
+ "model.layers.17.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
113
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
114
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
115
+ "model.layers.17.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
118
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
119
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
120
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
121
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
122
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
123
+ "model.layers.18.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
124
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
125
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
126
+ "model.layers.18.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
129
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
130
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
131
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
132
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
133
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
134
+ "model.layers.19.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
135
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
136
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
137
+ "model.layers.19.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
140
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
141
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
142
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
143
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
144
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
145
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
146
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
147
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
148
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
151
+ "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
152
+ "model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
153
+ "model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
154
+ "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
155
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
156
+ "model.layers.20.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
157
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
158
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
159
+ "model.layers.20.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
162
+ "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
163
+ "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
164
+ "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
165
+ "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
166
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00004-of-00006.safetensors",
167
+ "model.layers.21.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
168
+ "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
169
+ "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
170
+ "model.layers.21.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
173
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
174
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
175
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
176
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
177
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
178
+ "model.layers.22.self_attn.k_norm.weight": "model-00004-of-00006.safetensors",
179
+ "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
180
+ "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
181
+ "model.layers.22.self_attn.q_norm.weight": "model-00004-of-00006.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
184
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
185
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
186
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
187
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
188
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
189
+ "model.layers.23.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
190
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
191
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
192
+ "model.layers.23.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
195
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
196
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
197
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
198
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
199
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
200
+ "model.layers.24.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
201
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
202
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
203
+ "model.layers.24.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
206
+ "model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
207
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
208
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
209
+ "model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
210
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
211
+ "model.layers.25.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
212
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
213
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
214
+ "model.layers.25.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
217
+ "model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
218
+ "model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
219
+ "model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
220
+ "model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
221
+ "model.layers.26.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
222
+ "model.layers.26.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
223
+ "model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
224
+ "model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
225
+ "model.layers.26.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
226
+ "model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
227
+ "model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
228
+ "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
229
+ "model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
230
+ "model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
231
+ "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
232
+ "model.layers.27.post_feedforward_layernorm.weight": "model-00005-of-00006.safetensors",
233
+ "model.layers.27.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
234
+ "model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
235
+ "model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
236
+ "model.layers.27.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
237
+ "model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
238
+ "model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
239
+ "model.layers.28.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
240
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
241
+ "model.layers.28.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
242
+ "model.layers.28.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
243
+ "model.layers.28.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
244
+ "model.layers.28.self_attn.k_norm.weight": "model-00005-of-00006.safetensors",
245
+ "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
246
+ "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
247
+ "model.layers.28.self_attn.q_norm.weight": "model-00005-of-00006.safetensors",
248
+ "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
249
+ "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
250
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
251
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
252
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
253
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
254
+ "model.layers.29.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
255
+ "model.layers.29.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
256
+ "model.layers.29.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
257
+ "model.layers.29.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
258
+ "model.layers.29.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
259
+ "model.layers.29.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
260
+ "model.layers.29.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
261
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
262
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
263
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
264
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
265
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00006.safetensors",
266
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00006.safetensors",
267
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
268
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
269
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00006.safetensors",
270
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
271
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
272
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
273
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
274
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
275
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
276
+ "model.layers.30.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
277
+ "model.layers.30.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
278
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
279
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
280
+ "model.layers.30.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
281
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
282
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
283
+ "model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
284
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
285
+ "model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
286
+ "model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
287
+ "model.layers.31.post_feedforward_layernorm.weight": "model-00006-of-00006.safetensors",
288
+ "model.layers.31.self_attn.k_norm.weight": "model-00006-of-00006.safetensors",
289
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
290
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
291
+ "model.layers.31.self_attn.q_norm.weight": "model-00006-of-00006.safetensors",
292
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
293
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
294
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
295
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
296
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
297
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
298
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
299
+ "model.layers.4.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
300
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
301
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
302
+ "model.layers.4.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
303
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
304
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
305
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
306
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
307
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
308
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
309
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
310
+ "model.layers.5.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
311
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
312
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
313
+ "model.layers.5.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
314
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
315
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
316
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
317
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
318
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
319
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
320
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
321
+ "model.layers.6.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
322
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
323
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
324
+ "model.layers.6.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
325
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
326
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
327
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
328
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
329
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
330
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
331
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
332
+ "model.layers.7.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
333
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
334
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
335
+ "model.layers.7.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
336
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
337
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
338
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
339
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
340
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
341
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
342
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
343
+ "model.layers.8.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
344
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
345
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
346
+ "model.layers.8.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
347
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
348
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
349
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
350
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
351
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
352
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
353
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00002-of-00006.safetensors",
354
+ "model.layers.9.self_attn.k_norm.weight": "model-00002-of-00006.safetensors",
355
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
356
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
357
+ "model.layers.9.self_attn.q_norm.weight": "model-00002-of-00006.safetensors",
358
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
359
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
360
+ "model.norm.weight": "model-00006-of-00006.safetensors"
361
+ }
362
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|pad|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "100256": {
5
+ "content": "<|extra_id_0|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": false
11
+ },
12
+ "100257": {
13
+ "content": "<|endoftext|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "100258": {
21
+ "content": "<|fim_prefix|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "100259": {
29
+ "content": "<|fim_middle|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "100260": {
37
+ "content": "<|fim_suffix|>",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "100261": {
45
+ "content": "|||PHONE_NUMBER|||",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": false
51
+ },
52
+ "100262": {
53
+ "content": "|||EMAIL_ADDRESS|||",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": false
59
+ },
60
+ "100263": {
61
+ "content": "|||IP_ADDRESS|||",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": false
67
+ },
68
+ "100264": {
69
+ "content": "<|im_start|>",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "100265": {
77
+ "content": "<|im_end|>",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "100266": {
85
+ "content": "<|extra_id_1|>",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": false
91
+ },
92
+ "100267": {
93
+ "content": "<|extra_id_2|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": false
99
+ },
100
+ "100268": {
101
+ "content": "<|extra_id_3|>",
102
+ "lstrip": false,
103
+ "normalized": false,
104
+ "rstrip": false,
105
+ "single_word": false,
106
+ "special": false
107
+ },
108
+ "100269": {
109
+ "content": "<|extra_id_4|>",
110
+ "lstrip": false,
111
+ "normalized": false,
112
+ "rstrip": false,
113
+ "single_word": false,
114
+ "special": false
115
+ },
116
+ "100270": {
117
+ "content": "<|extra_id_5|>",
118
+ "lstrip": false,
119
+ "normalized": false,
120
+ "rstrip": false,
121
+ "single_word": false,
122
+ "special": false
123
+ },
124
+ "100271": {
125
+ "content": "<|extra_id_6|>",
126
+ "lstrip": false,
127
+ "normalized": false,
128
+ "rstrip": false,
129
+ "single_word": false,
130
+ "special": false
131
+ },
132
+ "100272": {
133
+ "content": "<|extra_id_7|>",
134
+ "lstrip": false,
135
+ "normalized": false,
136
+ "rstrip": false,
137
+ "single_word": false,
138
+ "special": false
139
+ },
140
+ "100273": {
141
+ "content": "<|extra_id_8|>",
142
+ "lstrip": false,
143
+ "normalized": false,
144
+ "rstrip": false,
145
+ "single_word": false,
146
+ "special": false
147
+ },
148
+ "100274": {
149
+ "content": "<|extra_id_9|>",
150
+ "lstrip": false,
151
+ "normalized": false,
152
+ "rstrip": false,
153
+ "single_word": false,
154
+ "special": false
155
+ },
156
+ "100275": {
157
+ "content": "<|extra_id_10|>",
158
+ "lstrip": false,
159
+ "normalized": false,
160
+ "rstrip": false,
161
+ "single_word": false,
162
+ "special": false
163
+ },
164
+ "100276": {
165
+ "content": "<|endofprompt|>",
166
+ "lstrip": false,
167
+ "normalized": false,
168
+ "rstrip": false,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "100277": {
173
+ "content": "<|pad|>",
174
+ "lstrip": false,
175
+ "normalized": false,
176
+ "rstrip": false,
177
+ "single_word": false,
178
+ "special": true
179
+ }
180
+ },
181
+ "bos_token": "<|endoftext|>",
182
+ "clean_up_tokenization_spaces": false,
183
+ "eos_token": "<|endoftext|>",
184
+ "extra_special_tokens": {},
185
+ "model_max_length": 1000000000000000019884624838656,
186
+ "pad_token": "<|pad|>",
187
+ "tokenizer_class": "GPT2Tokenizer",
188
+ "unk_token": "<|endoftext|>"
189
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20386650688791ad0c29b49ae8cdcf0798f5d0868194e8c0a536314658aafe5a
3
+ size 5432
vocab.json ADDED
The diff for this file is too large to render. See raw diff