atsuki-yamaguchi commited on
Commit
44d23cc
·
verified ·
1 Parent(s): 79e1962

Upload folder using huggingface_hub

Browse files
Files changed (43) hide show
  1. checkpoint-1511/config.json +27 -0
  2. checkpoint-1511/generation_config.json +6 -0
  3. checkpoint-1511/model-00001-of-00006.safetensors +3 -0
  4. checkpoint-1511/model-00002-of-00006.safetensors +3 -0
  5. checkpoint-1511/model-00003-of-00006.safetensors +3 -0
  6. checkpoint-1511/model-00004-of-00006.safetensors +3 -0
  7. checkpoint-1511/model-00005-of-00006.safetensors +3 -0
  8. checkpoint-1511/model-00006-of-00006.safetensors +3 -0
  9. checkpoint-1511/model.safetensors.index.json +362 -0
  10. checkpoint-1511/optimizer.pt +3 -0
  11. checkpoint-1511/rng_state.pth +3 -0
  12. checkpoint-1511/scheduler.pt +3 -0
  13. checkpoint-1511/trainer_state.json +2672 -0
  14. checkpoint-1511/training_args.bin +3 -0
  15. checkpoint-3022/config.json +27 -0
  16. checkpoint-3022/generation_config.json +6 -0
  17. checkpoint-3022/model-00001-of-00006.safetensors +3 -0
  18. checkpoint-3022/model-00002-of-00006.safetensors +3 -0
  19. checkpoint-3022/model-00003-of-00006.safetensors +3 -0
  20. checkpoint-3022/model-00004-of-00006.safetensors +3 -0
  21. checkpoint-3022/model-00005-of-00006.safetensors +3 -0
  22. checkpoint-3022/model-00006-of-00006.safetensors +3 -0
  23. checkpoint-3022/model.safetensors.index.json +362 -0
  24. checkpoint-3022/optimizer.pt +3 -0
  25. checkpoint-3022/rng_state.pth +3 -0
  26. checkpoint-3022/scheduler.pt +3 -0
  27. checkpoint-3022/trainer_state.json +0 -0
  28. checkpoint-3022/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-1511/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-szl_Latn-coli-cw2v/",
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-1511/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-1511/model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6957b6d00919f6eb4a191a182bc0fba773efaf07107d7ec2807b88e690038118
3
+ size 4950070472
checkpoint-1511/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-1511/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-1511/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-1511/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-1511/model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f686d465a4fa39eff6ee97210806cdd312bb3f289d489d5e58f10d687276812
3
+ size 4614509080
checkpoint-1511/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-1511/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82ca7f1972e0dd7c222267480cea15f6a52cebd131cf972e6cbe8764cea24620
3
+ size 13055369358
checkpoint-1511/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-1511/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0365bbbd991e8527ab663603b79aa7e119fcda5870530787b4c16138808638f0
3
+ size 1064
checkpoint-1511/trainer_state.json ADDED
@@ -0,0 +1,2672 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1511,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0026472534745201853,
13
+ "grad_norm": 10.610686302185059,
14
+ "learning_rate": 2.631578947368421e-06,
15
+ "loss": 6.7026,
16
+ "step": 4
17
+ },
18
+ {
19
+ "epoch": 0.005294506949040371,
20
+ "grad_norm": 7.664066314697266,
21
+ "learning_rate": 5.263157894736842e-06,
22
+ "loss": 6.1495,
23
+ "step": 8
24
+ },
25
+ {
26
+ "epoch": 0.007941760423560556,
27
+ "grad_norm": 9.318928718566895,
28
+ "learning_rate": 7.894736842105263e-06,
29
+ "loss": 5.5933,
30
+ "step": 12
31
+ },
32
+ {
33
+ "epoch": 0.010589013898080741,
34
+ "grad_norm": 4.640157699584961,
35
+ "learning_rate": 1.0526315789473684e-05,
36
+ "loss": 5.2675,
37
+ "step": 16
38
+ },
39
+ {
40
+ "epoch": 0.013236267372600927,
41
+ "grad_norm": 4.8390631675720215,
42
+ "learning_rate": 1.3157894736842106e-05,
43
+ "loss": 4.7426,
44
+ "step": 20
45
+ },
46
+ {
47
+ "epoch": 0.01588352084712111,
48
+ "grad_norm": 3.759246587753296,
49
+ "learning_rate": 1.5789473684210526e-05,
50
+ "loss": 4.393,
51
+ "step": 24
52
+ },
53
+ {
54
+ "epoch": 0.018530774321641297,
55
+ "grad_norm": 4.17201042175293,
56
+ "learning_rate": 1.8421052631578947e-05,
57
+ "loss": 4.53,
58
+ "step": 28
59
+ },
60
+ {
61
+ "epoch": 0.021178027796161483,
62
+ "grad_norm": 3.6570184230804443,
63
+ "learning_rate": 2.105263157894737e-05,
64
+ "loss": 4.0309,
65
+ "step": 32
66
+ },
67
+ {
68
+ "epoch": 0.02382528127068167,
69
+ "grad_norm": 3.2023730278015137,
70
+ "learning_rate": 2.368421052631579e-05,
71
+ "loss": 4.0887,
72
+ "step": 36
73
+ },
74
+ {
75
+ "epoch": 0.026472534745201854,
76
+ "grad_norm": 3.0748138427734375,
77
+ "learning_rate": 2.6315789473684212e-05,
78
+ "loss": 3.7956,
79
+ "step": 40
80
+ },
81
+ {
82
+ "epoch": 0.02911978821972204,
83
+ "grad_norm": 4.828571796417236,
84
+ "learning_rate": 2.8947368421052634e-05,
85
+ "loss": 3.7004,
86
+ "step": 44
87
+ },
88
+ {
89
+ "epoch": 0.03176704169424222,
90
+ "grad_norm": 3.378938674926758,
91
+ "learning_rate": 3.157894736842105e-05,
92
+ "loss": 3.4547,
93
+ "step": 48
94
+ },
95
+ {
96
+ "epoch": 0.03441429516876241,
97
+ "grad_norm": 2.6294522285461426,
98
+ "learning_rate": 3.421052631578947e-05,
99
+ "loss": 3.4377,
100
+ "step": 52
101
+ },
102
+ {
103
+ "epoch": 0.037061548643282594,
104
+ "grad_norm": 3.0871987342834473,
105
+ "learning_rate": 3.6842105263157895e-05,
106
+ "loss": 3.1353,
107
+ "step": 56
108
+ },
109
+ {
110
+ "epoch": 0.03970880211780278,
111
+ "grad_norm": 2.4088680744171143,
112
+ "learning_rate": 3.9473684210526316e-05,
113
+ "loss": 2.9782,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.042356055592322965,
118
+ "grad_norm": 2.408381700515747,
119
+ "learning_rate": 4.210526315789474e-05,
120
+ "loss": 2.9992,
121
+ "step": 64
122
+ },
123
+ {
124
+ "epoch": 0.04500330906684315,
125
+ "grad_norm": 2.2480554580688477,
126
+ "learning_rate": 4.473684210526316e-05,
127
+ "loss": 2.715,
128
+ "step": 68
129
+ },
130
+ {
131
+ "epoch": 0.04765056254136334,
132
+ "grad_norm": 2.2693371772766113,
133
+ "learning_rate": 4.736842105263158e-05,
134
+ "loss": 2.7635,
135
+ "step": 72
136
+ },
137
+ {
138
+ "epoch": 0.05029781601588352,
139
+ "grad_norm": 2.228167772293091,
140
+ "learning_rate": 5e-05,
141
+ "loss": 2.7817,
142
+ "step": 76
143
+ },
144
+ {
145
+ "epoch": 0.05294506949040371,
146
+ "grad_norm": 2.0800728797912598,
147
+ "learning_rate": 5.2631578947368424e-05,
148
+ "loss": 2.6518,
149
+ "step": 80
150
+ },
151
+ {
152
+ "epoch": 0.05559232296492389,
153
+ "grad_norm": 2.3304054737091064,
154
+ "learning_rate": 5.526315789473685e-05,
155
+ "loss": 2.5043,
156
+ "step": 84
157
+ },
158
+ {
159
+ "epoch": 0.05823957643944408,
160
+ "grad_norm": 3.0883028507232666,
161
+ "learning_rate": 5.789473684210527e-05,
162
+ "loss": 2.5016,
163
+ "step": 88
164
+ },
165
+ {
166
+ "epoch": 0.06088682991396426,
167
+ "grad_norm": 2.159608840942383,
168
+ "learning_rate": 6.052631578947369e-05,
169
+ "loss": 2.4707,
170
+ "step": 92
171
+ },
172
+ {
173
+ "epoch": 0.06353408338848444,
174
+ "grad_norm": 2.28015398979187,
175
+ "learning_rate": 6.31578947368421e-05,
176
+ "loss": 2.4652,
177
+ "step": 96
178
+ },
179
+ {
180
+ "epoch": 0.06618133686300463,
181
+ "grad_norm": 1.9228318929672241,
182
+ "learning_rate": 6.578947368421054e-05,
183
+ "loss": 2.3957,
184
+ "step": 100
185
+ },
186
+ {
187
+ "epoch": 0.06882859033752482,
188
+ "grad_norm": 11.928667068481445,
189
+ "learning_rate": 6.842105263157895e-05,
190
+ "loss": 2.555,
191
+ "step": 104
192
+ },
193
+ {
194
+ "epoch": 0.071475843812045,
195
+ "grad_norm": 2.0567405223846436,
196
+ "learning_rate": 7.105263157894737e-05,
197
+ "loss": 2.4527,
198
+ "step": 108
199
+ },
200
+ {
201
+ "epoch": 0.07412309728656519,
202
+ "grad_norm": 1.8643274307250977,
203
+ "learning_rate": 7.368421052631579e-05,
204
+ "loss": 2.2892,
205
+ "step": 112
206
+ },
207
+ {
208
+ "epoch": 0.07677035076108538,
209
+ "grad_norm": 2.0170955657958984,
210
+ "learning_rate": 7.631578947368422e-05,
211
+ "loss": 2.4977,
212
+ "step": 116
213
+ },
214
+ {
215
+ "epoch": 0.07941760423560557,
216
+ "grad_norm": 2.071643114089966,
217
+ "learning_rate": 7.894736842105263e-05,
218
+ "loss": 2.417,
219
+ "step": 120
220
+ },
221
+ {
222
+ "epoch": 0.08206485771012574,
223
+ "grad_norm": 1.9377845525741577,
224
+ "learning_rate": 8.157894736842105e-05,
225
+ "loss": 2.3889,
226
+ "step": 124
227
+ },
228
+ {
229
+ "epoch": 0.08471211118464593,
230
+ "grad_norm": 1.820202112197876,
231
+ "learning_rate": 8.421052631578948e-05,
232
+ "loss": 2.3357,
233
+ "step": 128
234
+ },
235
+ {
236
+ "epoch": 0.08735936465916612,
237
+ "grad_norm": 1.9323867559432983,
238
+ "learning_rate": 8.68421052631579e-05,
239
+ "loss": 2.1983,
240
+ "step": 132
241
+ },
242
+ {
243
+ "epoch": 0.0900066181336863,
244
+ "grad_norm": 1.919612169265747,
245
+ "learning_rate": 8.947368421052632e-05,
246
+ "loss": 2.4496,
247
+ "step": 136
248
+ },
249
+ {
250
+ "epoch": 0.09265387160820648,
251
+ "grad_norm": 1.991562008857727,
252
+ "learning_rate": 9.210526315789474e-05,
253
+ "loss": 2.3531,
254
+ "step": 140
255
+ },
256
+ {
257
+ "epoch": 0.09530112508272667,
258
+ "grad_norm": 1.8413500785827637,
259
+ "learning_rate": 9.473684210526316e-05,
260
+ "loss": 1.9909,
261
+ "step": 144
262
+ },
263
+ {
264
+ "epoch": 0.09794837855724686,
265
+ "grad_norm": 1.91356360912323,
266
+ "learning_rate": 9.736842105263158e-05,
267
+ "loss": 2.0991,
268
+ "step": 148
269
+ },
270
+ {
271
+ "epoch": 0.10059563203176704,
272
+ "grad_norm": 1.8988940715789795,
273
+ "learning_rate": 0.0001,
274
+ "loss": 2.2675,
275
+ "step": 152
276
+ },
277
+ {
278
+ "epoch": 0.10324288550628723,
279
+ "grad_norm": 2.7324349880218506,
280
+ "learning_rate": 9.999952071344157e-05,
281
+ "loss": 2.3948,
282
+ "step": 156
283
+ },
284
+ {
285
+ "epoch": 0.10589013898080742,
286
+ "grad_norm": 1.8660908937454224,
287
+ "learning_rate": 9.999808286295485e-05,
288
+ "loss": 2.3205,
289
+ "step": 160
290
+ },
291
+ {
292
+ "epoch": 0.10853739245532759,
293
+ "grad_norm": 1.8560384511947632,
294
+ "learning_rate": 9.999568647610555e-05,
295
+ "loss": 2.1836,
296
+ "step": 164
297
+ },
298
+ {
299
+ "epoch": 0.11118464592984778,
300
+ "grad_norm": 1.8613684177398682,
301
+ "learning_rate": 9.999233159883593e-05,
302
+ "loss": 2.1611,
303
+ "step": 168
304
+ },
305
+ {
306
+ "epoch": 0.11383189940436797,
307
+ "grad_norm": 1.9662210941314697,
308
+ "learning_rate": 9.998801829546386e-05,
309
+ "loss": 2.1433,
310
+ "step": 172
311
+ },
312
+ {
313
+ "epoch": 0.11647915287888816,
314
+ "grad_norm": 1.722792387008667,
315
+ "learning_rate": 9.998274664868173e-05,
316
+ "loss": 2.1694,
317
+ "step": 176
318
+ },
319
+ {
320
+ "epoch": 0.11912640635340833,
321
+ "grad_norm": 1.8309135437011719,
322
+ "learning_rate": 9.997651675955466e-05,
323
+ "loss": 2.198,
324
+ "step": 180
325
+ },
326
+ {
327
+ "epoch": 0.12177365982792852,
328
+ "grad_norm": 5.9480204582214355,
329
+ "learning_rate": 9.996932874751877e-05,
330
+ "loss": 2.1246,
331
+ "step": 184
332
+ },
333
+ {
334
+ "epoch": 0.12442091330244871,
335
+ "grad_norm": 1.776167392730713,
336
+ "learning_rate": 9.996118275037873e-05,
337
+ "loss": 2.2526,
338
+ "step": 188
339
+ },
340
+ {
341
+ "epoch": 0.1270681667769689,
342
+ "grad_norm": 1.7050362825393677,
343
+ "learning_rate": 9.995207892430524e-05,
344
+ "loss": 2.1991,
345
+ "step": 192
346
+ },
347
+ {
348
+ "epoch": 0.12971542025148908,
349
+ "grad_norm": 1.8881738185882568,
350
+ "learning_rate": 9.994201744383196e-05,
351
+ "loss": 2.2478,
352
+ "step": 196
353
+ },
354
+ {
355
+ "epoch": 0.13236267372600927,
356
+ "grad_norm": 1.6576926708221436,
357
+ "learning_rate": 9.993099850185216e-05,
358
+ "loss": 1.9793,
359
+ "step": 200
360
+ },
361
+ {
362
+ "epoch": 0.13500992720052946,
363
+ "grad_norm": 1.8202764987945557,
364
+ "learning_rate": 9.991902230961511e-05,
365
+ "loss": 2.3154,
366
+ "step": 204
367
+ },
368
+ {
369
+ "epoch": 0.13765718067504965,
370
+ "grad_norm": 1.8540215492248535,
371
+ "learning_rate": 9.99060890967219e-05,
372
+ "loss": 2.3001,
373
+ "step": 208
374
+ },
375
+ {
376
+ "epoch": 0.14030443414956983,
377
+ "grad_norm": 2.091411590576172,
378
+ "learning_rate": 9.989219911112113e-05,
379
+ "loss": 2.3242,
380
+ "step": 212
381
+ },
382
+ {
383
+ "epoch": 0.14295168762409,
384
+ "grad_norm": 2.0059611797332764,
385
+ "learning_rate": 9.987735261910417e-05,
386
+ "loss": 2.0196,
387
+ "step": 216
388
+ },
389
+ {
390
+ "epoch": 0.14559894109861019,
391
+ "grad_norm": 1.6925115585327148,
392
+ "learning_rate": 9.986154990529995e-05,
393
+ "loss": 2.2002,
394
+ "step": 220
395
+ },
396
+ {
397
+ "epoch": 0.14824619457313037,
398
+ "grad_norm": 1.5420494079589844,
399
+ "learning_rate": 9.984479127266961e-05,
400
+ "loss": 1.9154,
401
+ "step": 224
402
+ },
403
+ {
404
+ "epoch": 0.15089344804765056,
405
+ "grad_norm": 1.5900177955627441,
406
+ "learning_rate": 9.982707704250065e-05,
407
+ "loss": 1.8659,
408
+ "step": 228
409
+ },
410
+ {
411
+ "epoch": 0.15354070152217075,
412
+ "grad_norm": 1.7766467332839966,
413
+ "learning_rate": 9.980840755440075e-05,
414
+ "loss": 2.287,
415
+ "step": 232
416
+ },
417
+ {
418
+ "epoch": 0.15618795499669094,
419
+ "grad_norm": 1.6030980348587036,
420
+ "learning_rate": 9.978878316629133e-05,
421
+ "loss": 1.978,
422
+ "step": 236
423
+ },
424
+ {
425
+ "epoch": 0.15883520847121113,
426
+ "grad_norm": 1.698317289352417,
427
+ "learning_rate": 9.976820425440058e-05,
428
+ "loss": 2.0607,
429
+ "step": 240
430
+ },
431
+ {
432
+ "epoch": 0.1614824619457313,
433
+ "grad_norm": 1.7810238599777222,
434
+ "learning_rate": 9.974667121325634e-05,
435
+ "loss": 2.1114,
436
+ "step": 244
437
+ },
438
+ {
439
+ "epoch": 0.16412971542025148,
440
+ "grad_norm": 1.692539930343628,
441
+ "learning_rate": 9.972418445567851e-05,
442
+ "loss": 1.9014,
443
+ "step": 248
444
+ },
445
+ {
446
+ "epoch": 0.16677696889477167,
447
+ "grad_norm": 1.5846136808395386,
448
+ "learning_rate": 9.97007444127711e-05,
449
+ "loss": 1.9669,
450
+ "step": 252
451
+ },
452
+ {
453
+ "epoch": 0.16942422236929186,
454
+ "grad_norm": 1.6079951524734497,
455
+ "learning_rate": 9.967635153391401e-05,
456
+ "loss": 2.0006,
457
+ "step": 256
458
+ },
459
+ {
460
+ "epoch": 0.17207147584381205,
461
+ "grad_norm": 1.5769267082214355,
462
+ "learning_rate": 9.965100628675441e-05,
463
+ "loss": 2.0626,
464
+ "step": 260
465
+ },
466
+ {
467
+ "epoch": 0.17471872931833224,
468
+ "grad_norm": 1.8569773435592651,
469
+ "learning_rate": 9.962470915719775e-05,
470
+ "loss": 2.0044,
471
+ "step": 264
472
+ },
473
+ {
474
+ "epoch": 0.17736598279285243,
475
+ "grad_norm": 1.6288201808929443,
476
+ "learning_rate": 9.959746064939846e-05,
477
+ "loss": 1.916,
478
+ "step": 268
479
+ },
480
+ {
481
+ "epoch": 0.1800132362673726,
482
+ "grad_norm": 1.810739278793335,
483
+ "learning_rate": 9.956926128575026e-05,
484
+ "loss": 2.0607,
485
+ "step": 272
486
+ },
487
+ {
488
+ "epoch": 0.18266048974189278,
489
+ "grad_norm": 1.709789514541626,
490
+ "learning_rate": 9.954011160687622e-05,
491
+ "loss": 1.9518,
492
+ "step": 276
493
+ },
494
+ {
495
+ "epoch": 0.18530774321641297,
496
+ "grad_norm": 1.5789042711257935,
497
+ "learning_rate": 9.951001217161829e-05,
498
+ "loss": 2.0973,
499
+ "step": 280
500
+ },
501
+ {
502
+ "epoch": 0.18795499669093316,
503
+ "grad_norm": 1.6972695589065552,
504
+ "learning_rate": 9.947896355702666e-05,
505
+ "loss": 2.0861,
506
+ "step": 284
507
+ },
508
+ {
509
+ "epoch": 0.19060225016545335,
510
+ "grad_norm": 1.84464693069458,
511
+ "learning_rate": 9.944696635834867e-05,
512
+ "loss": 2.0149,
513
+ "step": 288
514
+ },
515
+ {
516
+ "epoch": 0.19324950363997354,
517
+ "grad_norm": 1.5586496591567993,
518
+ "learning_rate": 9.941402118901744e-05,
519
+ "loss": 1.9106,
520
+ "step": 292
521
+ },
522
+ {
523
+ "epoch": 0.19589675711449372,
524
+ "grad_norm": 1.498591423034668,
525
+ "learning_rate": 9.938012868064e-05,
526
+ "loss": 1.841,
527
+ "step": 296
528
+ },
529
+ {
530
+ "epoch": 0.1985440105890139,
531
+ "grad_norm": 1.595574140548706,
532
+ "learning_rate": 9.934528948298533e-05,
533
+ "loss": 1.9874,
534
+ "step": 300
535
+ },
536
+ {
537
+ "epoch": 0.20119126406353408,
538
+ "grad_norm": 1.6719728708267212,
539
+ "learning_rate": 9.930950426397179e-05,
540
+ "loss": 1.9742,
541
+ "step": 304
542
+ },
543
+ {
544
+ "epoch": 0.20383851753805426,
545
+ "grad_norm": 1.7218730449676514,
546
+ "learning_rate": 9.927277370965435e-05,
547
+ "loss": 1.8508,
548
+ "step": 308
549
+ },
550
+ {
551
+ "epoch": 0.20648577101257445,
552
+ "grad_norm": 1.6651699542999268,
553
+ "learning_rate": 9.923509852421145e-05,
554
+ "loss": 1.8824,
555
+ "step": 312
556
+ },
557
+ {
558
+ "epoch": 0.20913302448709464,
559
+ "grad_norm": 1.4921704530715942,
560
+ "learning_rate": 9.919647942993148e-05,
561
+ "loss": 1.9895,
562
+ "step": 316
563
+ },
564
+ {
565
+ "epoch": 0.21178027796161483,
566
+ "grad_norm": 1.5061111450195312,
567
+ "learning_rate": 9.915691716719898e-05,
568
+ "loss": 1.7748,
569
+ "step": 320
570
+ },
571
+ {
572
+ "epoch": 0.21442753143613502,
573
+ "grad_norm": 1.7094080448150635,
574
+ "learning_rate": 9.911641249448036e-05,
575
+ "loss": 2.0328,
576
+ "step": 324
577
+ },
578
+ {
579
+ "epoch": 0.21707478491065518,
580
+ "grad_norm": 1.55011785030365,
581
+ "learning_rate": 9.907496618830942e-05,
582
+ "loss": 1.8329,
583
+ "step": 328
584
+ },
585
+ {
586
+ "epoch": 0.21972203838517537,
587
+ "grad_norm": 3.727109432220459,
588
+ "learning_rate": 9.903257904327249e-05,
589
+ "loss": 1.8444,
590
+ "step": 332
591
+ },
592
+ {
593
+ "epoch": 0.22236929185969556,
594
+ "grad_norm": 1.7217804193496704,
595
+ "learning_rate": 9.898925187199308e-05,
596
+ "loss": 1.9953,
597
+ "step": 336
598
+ },
599
+ {
600
+ "epoch": 0.22501654533421575,
601
+ "grad_norm": 1.707441806793213,
602
+ "learning_rate": 9.894498550511646e-05,
603
+ "loss": 1.9449,
604
+ "step": 340
605
+ },
606
+ {
607
+ "epoch": 0.22766379880873594,
608
+ "grad_norm": 1.6487103700637817,
609
+ "learning_rate": 9.88997807912936e-05,
610
+ "loss": 1.9678,
611
+ "step": 344
612
+ },
613
+ {
614
+ "epoch": 0.23031105228325613,
615
+ "grad_norm": 1.5246243476867676,
616
+ "learning_rate": 9.885363859716497e-05,
617
+ "loss": 1.7917,
618
+ "step": 348
619
+ },
620
+ {
621
+ "epoch": 0.23295830575777632,
622
+ "grad_norm": 1.4904006719589233,
623
+ "learning_rate": 9.88065598073439e-05,
624
+ "loss": 2.0179,
625
+ "step": 352
626
+ },
627
+ {
628
+ "epoch": 0.23560555923229648,
629
+ "grad_norm": 1.547134280204773,
630
+ "learning_rate": 9.875854532439964e-05,
631
+ "loss": 1.8441,
632
+ "step": 356
633
+ },
634
+ {
635
+ "epoch": 0.23825281270681667,
636
+ "grad_norm": 1.443660855293274,
637
+ "learning_rate": 9.870959606884004e-05,
638
+ "loss": 1.8638,
639
+ "step": 360
640
+ },
641
+ {
642
+ "epoch": 0.24090006618133686,
643
+ "grad_norm": 1.6207844018936157,
644
+ "learning_rate": 9.865971297909393e-05,
645
+ "loss": 2.0387,
646
+ "step": 364
647
+ },
648
+ {
649
+ "epoch": 0.24354731965585705,
650
+ "grad_norm": 1.408623218536377,
651
+ "learning_rate": 9.860889701149307e-05,
652
+ "loss": 1.8255,
653
+ "step": 368
654
+ },
655
+ {
656
+ "epoch": 0.24619457313037724,
657
+ "grad_norm": 1.5555808544158936,
658
+ "learning_rate": 9.855714914025384e-05,
659
+ "loss": 1.9796,
660
+ "step": 372
661
+ },
662
+ {
663
+ "epoch": 0.24884182660489743,
664
+ "grad_norm": 1.7005336284637451,
665
+ "learning_rate": 9.850447035745866e-05,
666
+ "loss": 1.8875,
667
+ "step": 376
668
+ },
669
+ {
670
+ "epoch": 0.2514890800794176,
671
+ "grad_norm": 1.5231842994689941,
672
+ "learning_rate": 9.845086167303679e-05,
673
+ "loss": 1.9094,
674
+ "step": 380
675
+ },
676
+ {
677
+ "epoch": 0.2541363335539378,
678
+ "grad_norm": 1.6607714891433716,
679
+ "learning_rate": 9.839632411474513e-05,
680
+ "loss": 2.0968,
681
+ "step": 384
682
+ },
683
+ {
684
+ "epoch": 0.256783587028458,
685
+ "grad_norm": 1.6053401231765747,
686
+ "learning_rate": 9.83408587281484e-05,
687
+ "loss": 1.9487,
688
+ "step": 388
689
+ },
690
+ {
691
+ "epoch": 0.25943084050297816,
692
+ "grad_norm": 1.6648757457733154,
693
+ "learning_rate": 9.828446657659918e-05,
694
+ "loss": 2.0489,
695
+ "step": 392
696
+ },
697
+ {
698
+ "epoch": 0.26207809397749837,
699
+ "grad_norm": 1.3566395044326782,
700
+ "learning_rate": 9.82271487412175e-05,
701
+ "loss": 1.7258,
702
+ "step": 396
703
+ },
704
+ {
705
+ "epoch": 0.26472534745201853,
706
+ "grad_norm": 1.6526752710342407,
707
+ "learning_rate": 9.816890632087006e-05,
708
+ "loss": 1.8442,
709
+ "step": 400
710
+ },
711
+ {
712
+ "epoch": 0.2673726009265387,
713
+ "grad_norm": 1.5632907152175903,
714
+ "learning_rate": 9.810974043214922e-05,
715
+ "loss": 1.9051,
716
+ "step": 404
717
+ },
718
+ {
719
+ "epoch": 0.2700198544010589,
720
+ "grad_norm": 1.646107792854309,
721
+ "learning_rate": 9.804965220935161e-05,
722
+ "loss": 1.9339,
723
+ "step": 408
724
+ },
725
+ {
726
+ "epoch": 0.2726671078755791,
727
+ "grad_norm": 1.6232599020004272,
728
+ "learning_rate": 9.798864280445632e-05,
729
+ "loss": 1.8981,
730
+ "step": 412
731
+ },
732
+ {
733
+ "epoch": 0.2753143613500993,
734
+ "grad_norm": 1.5264742374420166,
735
+ "learning_rate": 9.792671338710285e-05,
736
+ "loss": 1.8395,
737
+ "step": 416
738
+ },
739
+ {
740
+ "epoch": 0.27796161482461945,
741
+ "grad_norm": 2.12361741065979,
742
+ "learning_rate": 9.786386514456872e-05,
743
+ "loss": 1.9673,
744
+ "step": 420
745
+ },
746
+ {
747
+ "epoch": 0.28060886829913967,
748
+ "grad_norm": 1.5487679243087769,
749
+ "learning_rate": 9.780009928174661e-05,
750
+ "loss": 1.9475,
751
+ "step": 424
752
+ },
753
+ {
754
+ "epoch": 0.28325612177365983,
755
+ "grad_norm": 1.5165311098098755,
756
+ "learning_rate": 9.773541702112137e-05,
757
+ "loss": 1.9555,
758
+ "step": 428
759
+ },
760
+ {
761
+ "epoch": 0.28590337524818,
762
+ "grad_norm": 1.5391660928726196,
763
+ "learning_rate": 9.766981960274653e-05,
764
+ "loss": 1.8691,
765
+ "step": 432
766
+ },
767
+ {
768
+ "epoch": 0.2885506287227002,
769
+ "grad_norm": 1.5682833194732666,
770
+ "learning_rate": 9.760330828422053e-05,
771
+ "loss": 1.7862,
772
+ "step": 436
773
+ },
774
+ {
775
+ "epoch": 0.29119788219722037,
776
+ "grad_norm": 1.403124451637268,
777
+ "learning_rate": 9.753588434066258e-05,
778
+ "loss": 1.9392,
779
+ "step": 440
780
+ },
781
+ {
782
+ "epoch": 0.2938451356717406,
783
+ "grad_norm": 1.4275953769683838,
784
+ "learning_rate": 9.746754906468832e-05,
785
+ "loss": 1.9314,
786
+ "step": 444
787
+ },
788
+ {
789
+ "epoch": 0.29649238914626075,
790
+ "grad_norm": 1.4967845678329468,
791
+ "learning_rate": 9.73983037663849e-05,
792
+ "loss": 1.854,
793
+ "step": 448
794
+ },
795
+ {
796
+ "epoch": 0.29913964262078097,
797
+ "grad_norm": 1.601547122001648,
798
+ "learning_rate": 9.732814977328592e-05,
799
+ "loss": 1.9411,
800
+ "step": 452
801
+ },
802
+ {
803
+ "epoch": 0.3017868960953011,
804
+ "grad_norm": 1.412458896636963,
805
+ "learning_rate": 9.725708843034605e-05,
806
+ "loss": 1.8616,
807
+ "step": 456
808
+ },
809
+ {
810
+ "epoch": 0.3044341495698213,
811
+ "grad_norm": 1.4348307847976685,
812
+ "learning_rate": 9.718512109991514e-05,
813
+ "loss": 1.8257,
814
+ "step": 460
815
+ },
816
+ {
817
+ "epoch": 0.3070814030443415,
818
+ "grad_norm": 1.4989802837371826,
819
+ "learning_rate": 9.711224916171215e-05,
820
+ "loss": 1.9711,
821
+ "step": 464
822
+ },
823
+ {
824
+ "epoch": 0.30972865651886167,
825
+ "grad_norm": 1.5016189813613892,
826
+ "learning_rate": 9.703847401279871e-05,
827
+ "loss": 1.8066,
828
+ "step": 468
829
+ },
830
+ {
831
+ "epoch": 0.3123759099933819,
832
+ "grad_norm": 1.5456262826919556,
833
+ "learning_rate": 9.69637970675523e-05,
834
+ "loss": 1.7682,
835
+ "step": 472
836
+ },
837
+ {
838
+ "epoch": 0.31502316346790205,
839
+ "grad_norm": 1.649239420890808,
840
+ "learning_rate": 9.688821975763918e-05,
841
+ "loss": 1.9982,
842
+ "step": 476
843
+ },
844
+ {
845
+ "epoch": 0.31767041694242226,
846
+ "grad_norm": 1.5132896900177002,
847
+ "learning_rate": 9.681174353198687e-05,
848
+ "loss": 1.6853,
849
+ "step": 480
850
+ },
851
+ {
852
+ "epoch": 0.3203176704169424,
853
+ "grad_norm": 1.5706440210342407,
854
+ "learning_rate": 9.673436985675645e-05,
855
+ "loss": 1.8175,
856
+ "step": 484
857
+ },
858
+ {
859
+ "epoch": 0.3229649238914626,
860
+ "grad_norm": 1.4862254858016968,
861
+ "learning_rate": 9.665610021531447e-05,
862
+ "loss": 1.9173,
863
+ "step": 488
864
+ },
865
+ {
866
+ "epoch": 0.3256121773659828,
867
+ "grad_norm": 1.6407462358474731,
868
+ "learning_rate": 9.657693610820437e-05,
869
+ "loss": 2.0596,
870
+ "step": 492
871
+ },
872
+ {
873
+ "epoch": 0.32825943084050296,
874
+ "grad_norm": 1.6441835165023804,
875
+ "learning_rate": 9.649687905311785e-05,
876
+ "loss": 2.0295,
877
+ "step": 496
878
+ },
879
+ {
880
+ "epoch": 0.3309066843150232,
881
+ "grad_norm": 1.378661870956421,
882
+ "learning_rate": 9.641593058486574e-05,
883
+ "loss": 1.7642,
884
+ "step": 500
885
+ },
886
+ {
887
+ "epoch": 0.33355393778954334,
888
+ "grad_norm": 1.4671963453292847,
889
+ "learning_rate": 9.633409225534855e-05,
890
+ "loss": 1.8116,
891
+ "step": 504
892
+ },
893
+ {
894
+ "epoch": 0.33620119126406356,
895
+ "grad_norm": 1.5696290731430054,
896
+ "learning_rate": 9.625136563352671e-05,
897
+ "loss": 1.8052,
898
+ "step": 508
899
+ },
900
+ {
901
+ "epoch": 0.3388484447385837,
902
+ "grad_norm": 1.4909025430679321,
903
+ "learning_rate": 9.616775230539057e-05,
904
+ "loss": 1.8951,
905
+ "step": 512
906
+ },
907
+ {
908
+ "epoch": 0.3414956982131039,
909
+ "grad_norm": 1.5281769037246704,
910
+ "learning_rate": 9.608325387392986e-05,
911
+ "loss": 1.7721,
912
+ "step": 516
913
+ },
914
+ {
915
+ "epoch": 0.3441429516876241,
916
+ "grad_norm": 1.4955800771713257,
917
+ "learning_rate": 9.599787195910313e-05,
918
+ "loss": 1.6392,
919
+ "step": 520
920
+ },
921
+ {
922
+ "epoch": 0.34679020516214426,
923
+ "grad_norm": 1.4858269691467285,
924
+ "learning_rate": 9.591160819780649e-05,
925
+ "loss": 1.7931,
926
+ "step": 524
927
+ },
928
+ {
929
+ "epoch": 0.3494374586366645,
930
+ "grad_norm": 1.5280017852783203,
931
+ "learning_rate": 9.582446424384242e-05,
932
+ "loss": 1.8464,
933
+ "step": 528
934
+ },
935
+ {
936
+ "epoch": 0.35208471211118464,
937
+ "grad_norm": 1.5444755554199219,
938
+ "learning_rate": 9.573644176788794e-05,
939
+ "loss": 1.8197,
940
+ "step": 532
941
+ },
942
+ {
943
+ "epoch": 0.35473196558570486,
944
+ "grad_norm": 1.5050253868103027,
945
+ "learning_rate": 9.564754245746264e-05,
946
+ "loss": 1.9478,
947
+ "step": 536
948
+ },
949
+ {
950
+ "epoch": 0.357379219060225,
951
+ "grad_norm": 1.461586356163025,
952
+ "learning_rate": 9.555776801689632e-05,
953
+ "loss": 1.8323,
954
+ "step": 540
955
+ },
956
+ {
957
+ "epoch": 0.3600264725347452,
958
+ "grad_norm": 1.51008141040802,
959
+ "learning_rate": 9.546712016729624e-05,
960
+ "loss": 1.9505,
961
+ "step": 544
962
+ },
963
+ {
964
+ "epoch": 0.3626737260092654,
965
+ "grad_norm": 1.442744493484497,
966
+ "learning_rate": 9.537560064651427e-05,
967
+ "loss": 1.6729,
968
+ "step": 548
969
+ },
970
+ {
971
+ "epoch": 0.36532097948378556,
972
+ "grad_norm": 1.5391943454742432,
973
+ "learning_rate": 9.528321120911346e-05,
974
+ "loss": 1.8549,
975
+ "step": 552
976
+ },
977
+ {
978
+ "epoch": 0.3679682329583058,
979
+ "grad_norm": 1.5444978475570679,
980
+ "learning_rate": 9.51899536263344e-05,
981
+ "loss": 1.8613,
982
+ "step": 556
983
+ },
984
+ {
985
+ "epoch": 0.37061548643282594,
986
+ "grad_norm": 3.030534267425537,
987
+ "learning_rate": 9.509582968606136e-05,
988
+ "loss": 1.7753,
989
+ "step": 560
990
+ },
991
+ {
992
+ "epoch": 0.37326273990734615,
993
+ "grad_norm": 1.452682614326477,
994
+ "learning_rate": 9.500084119278788e-05,
995
+ "loss": 1.7413,
996
+ "step": 564
997
+ },
998
+ {
999
+ "epoch": 0.3759099933818663,
1000
+ "grad_norm": 1.351912260055542,
1001
+ "learning_rate": 9.49049899675823e-05,
1002
+ "loss": 1.9188,
1003
+ "step": 568
1004
+ },
1005
+ {
1006
+ "epoch": 0.3785572468563865,
1007
+ "grad_norm": 1.6070955991744995,
1008
+ "learning_rate": 9.480827784805278e-05,
1009
+ "loss": 1.8472,
1010
+ "step": 572
1011
+ },
1012
+ {
1013
+ "epoch": 0.3812045003309067,
1014
+ "grad_norm": 1.619681715965271,
1015
+ "learning_rate": 9.471070668831208e-05,
1016
+ "loss": 1.6604,
1017
+ "step": 576
1018
+ },
1019
+ {
1020
+ "epoch": 0.38385175380542685,
1021
+ "grad_norm": 1.5847423076629639,
1022
+ "learning_rate": 9.4612278358942e-05,
1023
+ "loss": 1.7116,
1024
+ "step": 580
1025
+ },
1026
+ {
1027
+ "epoch": 0.38649900727994707,
1028
+ "grad_norm": 1.4484244585037231,
1029
+ "learning_rate": 9.451299474695754e-05,
1030
+ "loss": 1.7518,
1031
+ "step": 584
1032
+ },
1033
+ {
1034
+ "epoch": 0.38914626075446723,
1035
+ "grad_norm": 1.4682494401931763,
1036
+ "learning_rate": 9.441285775577075e-05,
1037
+ "loss": 1.7971,
1038
+ "step": 588
1039
+ },
1040
+ {
1041
+ "epoch": 0.39179351422898745,
1042
+ "grad_norm": 1.4084190130233765,
1043
+ "learning_rate": 9.431186930515419e-05,
1044
+ "loss": 1.7613,
1045
+ "step": 592
1046
+ },
1047
+ {
1048
+ "epoch": 0.3944407677035076,
1049
+ "grad_norm": 1.4905308485031128,
1050
+ "learning_rate": 9.421003133120412e-05,
1051
+ "loss": 1.7662,
1052
+ "step": 596
1053
+ },
1054
+ {
1055
+ "epoch": 0.3970880211780278,
1056
+ "grad_norm": 1.5779659748077393,
1057
+ "learning_rate": 9.410734578630343e-05,
1058
+ "loss": 1.7133,
1059
+ "step": 600
1060
+ },
1061
+ {
1062
+ "epoch": 0.399735274652548,
1063
+ "grad_norm": 1.415911316871643,
1064
+ "learning_rate": 9.400381463908416e-05,
1065
+ "loss": 1.8177,
1066
+ "step": 604
1067
+ },
1068
+ {
1069
+ "epoch": 0.40238252812706815,
1070
+ "grad_norm": 1.4674650430679321,
1071
+ "learning_rate": 9.389943987438983e-05,
1072
+ "loss": 1.6904,
1073
+ "step": 608
1074
+ },
1075
+ {
1076
+ "epoch": 0.40502978160158837,
1077
+ "grad_norm": 1.442590355873108,
1078
+ "learning_rate": 9.379422349323728e-05,
1079
+ "loss": 1.686,
1080
+ "step": 612
1081
+ },
1082
+ {
1083
+ "epoch": 0.40767703507610853,
1084
+ "grad_norm": 1.4115177392959595,
1085
+ "learning_rate": 9.368816751277843e-05,
1086
+ "loss": 1.6588,
1087
+ "step": 616
1088
+ },
1089
+ {
1090
+ "epoch": 0.41032428855062875,
1091
+ "grad_norm": 1.407148003578186,
1092
+ "learning_rate": 9.358127396626147e-05,
1093
+ "loss": 1.6998,
1094
+ "step": 620
1095
+ },
1096
+ {
1097
+ "epoch": 0.4129715420251489,
1098
+ "grad_norm": 1.3762400150299072,
1099
+ "learning_rate": 9.347354490299205e-05,
1100
+ "loss": 1.7738,
1101
+ "step": 624
1102
+ },
1103
+ {
1104
+ "epoch": 0.41561879549966907,
1105
+ "grad_norm": 1.3269281387329102,
1106
+ "learning_rate": 9.336498238829384e-05,
1107
+ "loss": 1.6914,
1108
+ "step": 628
1109
+ },
1110
+ {
1111
+ "epoch": 0.4182660489741893,
1112
+ "grad_norm": 1.2647446393966675,
1113
+ "learning_rate": 9.325558850346897e-05,
1114
+ "loss": 1.7098,
1115
+ "step": 632
1116
+ },
1117
+ {
1118
+ "epoch": 0.42091330244870945,
1119
+ "grad_norm": 1.5389339923858643,
1120
+ "learning_rate": 9.31453653457582e-05,
1121
+ "loss": 1.6726,
1122
+ "step": 636
1123
+ },
1124
+ {
1125
+ "epoch": 0.42356055592322966,
1126
+ "grad_norm": 1.525876760482788,
1127
+ "learning_rate": 9.303431502830065e-05,
1128
+ "loss": 1.6839,
1129
+ "step": 640
1130
+ },
1131
+ {
1132
+ "epoch": 0.4262078093977498,
1133
+ "grad_norm": 1.5353223085403442,
1134
+ "learning_rate": 9.292243968009331e-05,
1135
+ "loss": 1.7669,
1136
+ "step": 644
1137
+ },
1138
+ {
1139
+ "epoch": 0.42885506287227004,
1140
+ "grad_norm": 1.3794018030166626,
1141
+ "learning_rate": 9.280974144595018e-05,
1142
+ "loss": 1.6615,
1143
+ "step": 648
1144
+ },
1145
+ {
1146
+ "epoch": 0.4315023163467902,
1147
+ "grad_norm": 1.5229333639144897,
1148
+ "learning_rate": 9.269622248646124e-05,
1149
+ "loss": 1.7976,
1150
+ "step": 652
1151
+ },
1152
+ {
1153
+ "epoch": 0.43414956982131037,
1154
+ "grad_norm": 1.474219799041748,
1155
+ "learning_rate": 9.258188497795093e-05,
1156
+ "loss": 1.6914,
1157
+ "step": 656
1158
+ },
1159
+ {
1160
+ "epoch": 0.4367968232958306,
1161
+ "grad_norm": 1.3414136171340942,
1162
+ "learning_rate": 9.24667311124365e-05,
1163
+ "loss": 1.8003,
1164
+ "step": 660
1165
+ },
1166
+ {
1167
+ "epoch": 0.43944407677035074,
1168
+ "grad_norm": 1.3020344972610474,
1169
+ "learning_rate": 9.23507630975859e-05,
1170
+ "loss": 1.7176,
1171
+ "step": 664
1172
+ },
1173
+ {
1174
+ "epoch": 0.44209133024487096,
1175
+ "grad_norm": 1.4163818359375,
1176
+ "learning_rate": 9.223398315667561e-05,
1177
+ "loss": 1.674,
1178
+ "step": 668
1179
+ },
1180
+ {
1181
+ "epoch": 0.4447385837193911,
1182
+ "grad_norm": 1.3935587406158447,
1183
+ "learning_rate": 9.211639352854787e-05,
1184
+ "loss": 1.7689,
1185
+ "step": 672
1186
+ },
1187
+ {
1188
+ "epoch": 0.44738583719391134,
1189
+ "grad_norm": 1.3712141513824463,
1190
+ "learning_rate": 9.199799646756777e-05,
1191
+ "loss": 1.7988,
1192
+ "step": 676
1193
+ },
1194
+ {
1195
+ "epoch": 0.4500330906684315,
1196
+ "grad_norm": 1.5320765972137451,
1197
+ "learning_rate": 9.187879424358014e-05,
1198
+ "loss": 1.831,
1199
+ "step": 680
1200
+ },
1201
+ {
1202
+ "epoch": 0.45268034414295166,
1203
+ "grad_norm": 1.5243709087371826,
1204
+ "learning_rate": 9.17587891418659e-05,
1205
+ "loss": 1.6793,
1206
+ "step": 684
1207
+ },
1208
+ {
1209
+ "epoch": 0.4553275976174719,
1210
+ "grad_norm": 1.727277159690857,
1211
+ "learning_rate": 9.163798346309837e-05,
1212
+ "loss": 1.9142,
1213
+ "step": 688
1214
+ },
1215
+ {
1216
+ "epoch": 0.45797485109199204,
1217
+ "grad_norm": 1.2457393407821655,
1218
+ "learning_rate": 9.151637952329903e-05,
1219
+ "loss": 1.577,
1220
+ "step": 692
1221
+ },
1222
+ {
1223
+ "epoch": 0.46062210456651226,
1224
+ "grad_norm": 1.939177393913269,
1225
+ "learning_rate": 9.139397965379327e-05,
1226
+ "loss": 1.8163,
1227
+ "step": 696
1228
+ },
1229
+ {
1230
+ "epoch": 0.4632693580410324,
1231
+ "grad_norm": 1.477421760559082,
1232
+ "learning_rate": 9.127078620116556e-05,
1233
+ "loss": 1.7861,
1234
+ "step": 700
1235
+ },
1236
+ {
1237
+ "epoch": 0.46591661151555264,
1238
+ "grad_norm": 1.3966877460479736,
1239
+ "learning_rate": 9.114680152721453e-05,
1240
+ "loss": 1.6275,
1241
+ "step": 704
1242
+ },
1243
+ {
1244
+ "epoch": 0.4685638649900728,
1245
+ "grad_norm": 1.5782712697982788,
1246
+ "learning_rate": 9.102202800890772e-05,
1247
+ "loss": 1.9066,
1248
+ "step": 708
1249
+ },
1250
+ {
1251
+ "epoch": 0.47121111846459296,
1252
+ "grad_norm": 1.3626751899719238,
1253
+ "learning_rate": 9.089646803833589e-05,
1254
+ "loss": 1.7002,
1255
+ "step": 712
1256
+ },
1257
+ {
1258
+ "epoch": 0.4738583719391132,
1259
+ "grad_norm": 1.4438906908035278,
1260
+ "learning_rate": 9.077012402266731e-05,
1261
+ "loss": 1.6942,
1262
+ "step": 716
1263
+ },
1264
+ {
1265
+ "epoch": 0.47650562541363334,
1266
+ "grad_norm": 1.39316725730896,
1267
+ "learning_rate": 9.064299838410152e-05,
1268
+ "loss": 1.6446,
1269
+ "step": 720
1270
+ },
1271
+ {
1272
+ "epoch": 0.47915287888815355,
1273
+ "grad_norm": 1.4561007022857666,
1274
+ "learning_rate": 9.051509355982293e-05,
1275
+ "loss": 1.6668,
1276
+ "step": 724
1277
+ },
1278
+ {
1279
+ "epoch": 0.4818001323626737,
1280
+ "grad_norm": 1.3590714931488037,
1281
+ "learning_rate": 9.038641200195404e-05,
1282
+ "loss": 1.9216,
1283
+ "step": 728
1284
+ },
1285
+ {
1286
+ "epoch": 0.48444738583719393,
1287
+ "grad_norm": 1.575279712677002,
1288
+ "learning_rate": 9.025695617750848e-05,
1289
+ "loss": 1.8161,
1290
+ "step": 732
1291
+ },
1292
+ {
1293
+ "epoch": 0.4870946393117141,
1294
+ "grad_norm": 1.4522175788879395,
1295
+ "learning_rate": 9.012672856834373e-05,
1296
+ "loss": 1.8648,
1297
+ "step": 736
1298
+ },
1299
+ {
1300
+ "epoch": 0.48974189278623426,
1301
+ "grad_norm": 1.3954745531082153,
1302
+ "learning_rate": 8.999573167111348e-05,
1303
+ "loss": 1.5615,
1304
+ "step": 740
1305
+ },
1306
+ {
1307
+ "epoch": 0.4923891462607545,
1308
+ "grad_norm": 1.4717799425125122,
1309
+ "learning_rate": 8.986396799721983e-05,
1310
+ "loss": 1.6382,
1311
+ "step": 744
1312
+ },
1313
+ {
1314
+ "epoch": 0.49503639973527463,
1315
+ "grad_norm": 1.450149416923523,
1316
+ "learning_rate": 8.973144007276508e-05,
1317
+ "loss": 1.7229,
1318
+ "step": 748
1319
+ },
1320
+ {
1321
+ "epoch": 0.49768365320979485,
1322
+ "grad_norm": 1.4680171012878418,
1323
+ "learning_rate": 8.959815043850336e-05,
1324
+ "loss": 1.6906,
1325
+ "step": 752
1326
+ },
1327
+ {
1328
+ "epoch": 0.500330906684315,
1329
+ "grad_norm": 1.4839046001434326,
1330
+ "learning_rate": 8.946410164979184e-05,
1331
+ "loss": 1.8205,
1332
+ "step": 756
1333
+ },
1334
+ {
1335
+ "epoch": 0.5029781601588352,
1336
+ "grad_norm": 1.503608226776123,
1337
+ "learning_rate": 8.932929627654185e-05,
1338
+ "loss": 1.5467,
1339
+ "step": 760
1340
+ },
1341
+ {
1342
+ "epoch": 0.5056254136333554,
1343
+ "grad_norm": 1.3385919332504272,
1344
+ "learning_rate": 8.919373690316952e-05,
1345
+ "loss": 1.7181,
1346
+ "step": 764
1347
+ },
1348
+ {
1349
+ "epoch": 0.5082726671078756,
1350
+ "grad_norm": 1.4352362155914307,
1351
+ "learning_rate": 8.905742612854628e-05,
1352
+ "loss": 1.702,
1353
+ "step": 768
1354
+ },
1355
+ {
1356
+ "epoch": 0.5109199205823958,
1357
+ "grad_norm": 1.5198529958724976,
1358
+ "learning_rate": 8.892036656594898e-05,
1359
+ "loss": 1.6662,
1360
+ "step": 772
1361
+ },
1362
+ {
1363
+ "epoch": 0.513567174056916,
1364
+ "grad_norm": 1.360083818435669,
1365
+ "learning_rate": 8.87825608430099e-05,
1366
+ "loss": 1.6477,
1367
+ "step": 776
1368
+ },
1369
+ {
1370
+ "epoch": 0.5162144275314361,
1371
+ "grad_norm": 1.4632827043533325,
1372
+ "learning_rate": 8.864401160166624e-05,
1373
+ "loss": 1.6028,
1374
+ "step": 780
1375
+ },
1376
+ {
1377
+ "epoch": 0.5188616810059563,
1378
+ "grad_norm": 1.4365050792694092,
1379
+ "learning_rate": 8.85047214981096e-05,
1380
+ "loss": 1.7236,
1381
+ "step": 784
1382
+ },
1383
+ {
1384
+ "epoch": 0.5215089344804765,
1385
+ "grad_norm": 1.3933697938919067,
1386
+ "learning_rate": 8.83646932027349e-05,
1387
+ "loss": 1.678,
1388
+ "step": 788
1389
+ },
1390
+ {
1391
+ "epoch": 0.5241561879549967,
1392
+ "grad_norm": 1.4825220108032227,
1393
+ "learning_rate": 8.822392940008937e-05,
1394
+ "loss": 1.5583,
1395
+ "step": 792
1396
+ },
1397
+ {
1398
+ "epoch": 0.5268034414295168,
1399
+ "grad_norm": 1.331561803817749,
1400
+ "learning_rate": 8.808243278882094e-05,
1401
+ "loss": 1.5029,
1402
+ "step": 796
1403
+ },
1404
+ {
1405
+ "epoch": 0.5294506949040371,
1406
+ "grad_norm": 1.4000210762023926,
1407
+ "learning_rate": 8.794020608162656e-05,
1408
+ "loss": 1.7178,
1409
+ "step": 800
1410
+ },
1411
+ {
1412
+ "epoch": 0.5320979483785573,
1413
+ "grad_norm": 1.4191969633102417,
1414
+ "learning_rate": 8.779725200520021e-05,
1415
+ "loss": 1.7233,
1416
+ "step": 804
1417
+ },
1418
+ {
1419
+ "epoch": 0.5347452018530774,
1420
+ "grad_norm": 1.319602608680725,
1421
+ "learning_rate": 8.765357330018056e-05,
1422
+ "loss": 1.4836,
1423
+ "step": 808
1424
+ },
1425
+ {
1426
+ "epoch": 0.5373924553275976,
1427
+ "grad_norm": 1.5123964548110962,
1428
+ "learning_rate": 8.750917272109848e-05,
1429
+ "loss": 1.6977,
1430
+ "step": 812
1431
+ },
1432
+ {
1433
+ "epoch": 0.5400397088021178,
1434
+ "grad_norm": 1.4251317977905273,
1435
+ "learning_rate": 8.736405303632427e-05,
1436
+ "loss": 1.6526,
1437
+ "step": 816
1438
+ },
1439
+ {
1440
+ "epoch": 0.542686962276638,
1441
+ "grad_norm": 1.515101671218872,
1442
+ "learning_rate": 8.721821702801449e-05,
1443
+ "loss": 1.7234,
1444
+ "step": 820
1445
+ },
1446
+ {
1447
+ "epoch": 0.5453342157511581,
1448
+ "grad_norm": 1.4469647407531738,
1449
+ "learning_rate": 8.707166749205866e-05,
1450
+ "loss": 1.8084,
1451
+ "step": 824
1452
+ },
1453
+ {
1454
+ "epoch": 0.5479814692256784,
1455
+ "grad_norm": 1.3407204151153564,
1456
+ "learning_rate": 8.692440723802571e-05,
1457
+ "loss": 1.5344,
1458
+ "step": 828
1459
+ },
1460
+ {
1461
+ "epoch": 0.5506287227001986,
1462
+ "grad_norm": 1.460547685623169,
1463
+ "learning_rate": 8.677643908911007e-05,
1464
+ "loss": 1.6787,
1465
+ "step": 832
1466
+ },
1467
+ {
1468
+ "epoch": 0.5532759761747187,
1469
+ "grad_norm": 1.409914493560791,
1470
+ "learning_rate": 8.662776588207747e-05,
1471
+ "loss": 1.648,
1472
+ "step": 836
1473
+ },
1474
+ {
1475
+ "epoch": 0.5559232296492389,
1476
+ "grad_norm": 1.2722299098968506,
1477
+ "learning_rate": 8.647839046721076e-05,
1478
+ "loss": 1.5172,
1479
+ "step": 840
1480
+ },
1481
+ {
1482
+ "epoch": 0.5585704831237591,
1483
+ "grad_norm": 1.4182597398757935,
1484
+ "learning_rate": 8.632831570825508e-05,
1485
+ "loss": 1.8057,
1486
+ "step": 844
1487
+ },
1488
+ {
1489
+ "epoch": 0.5612177365982793,
1490
+ "grad_norm": 1.3057011365890503,
1491
+ "learning_rate": 8.617754448236298e-05,
1492
+ "loss": 1.6716,
1493
+ "step": 848
1494
+ },
1495
+ {
1496
+ "epoch": 0.5638649900727994,
1497
+ "grad_norm": 1.347036361694336,
1498
+ "learning_rate": 8.602607968003935e-05,
1499
+ "loss": 1.558,
1500
+ "step": 852
1501
+ },
1502
+ {
1503
+ "epoch": 0.5665122435473197,
1504
+ "grad_norm": 1.415988802909851,
1505
+ "learning_rate": 8.587392420508598e-05,
1506
+ "loss": 1.6299,
1507
+ "step": 856
1508
+ },
1509
+ {
1510
+ "epoch": 0.5691594970218399,
1511
+ "grad_norm": 1.5263333320617676,
1512
+ "learning_rate": 8.572108097454578e-05,
1513
+ "loss": 1.8237,
1514
+ "step": 860
1515
+ },
1516
+ {
1517
+ "epoch": 0.57180675049636,
1518
+ "grad_norm": 1.2556434869766235,
1519
+ "learning_rate": 8.556755291864701e-05,
1520
+ "loss": 1.6314,
1521
+ "step": 864
1522
+ },
1523
+ {
1524
+ "epoch": 0.5744540039708802,
1525
+ "grad_norm": 1.3698112964630127,
1526
+ "learning_rate": 8.541334298074701e-05,
1527
+ "loss": 1.7362,
1528
+ "step": 868
1529
+ },
1530
+ {
1531
+ "epoch": 0.5771012574454004,
1532
+ "grad_norm": 1.2662156820297241,
1533
+ "learning_rate": 8.525845411727581e-05,
1534
+ "loss": 1.4891,
1535
+ "step": 872
1536
+ },
1537
+ {
1538
+ "epoch": 0.5797485109199206,
1539
+ "grad_norm": 1.3394712209701538,
1540
+ "learning_rate": 8.51028892976794e-05,
1541
+ "loss": 1.6579,
1542
+ "step": 876
1543
+ },
1544
+ {
1545
+ "epoch": 0.5823957643944407,
1546
+ "grad_norm": 1.3826072216033936,
1547
+ "learning_rate": 8.494665150436288e-05,
1548
+ "loss": 1.6722,
1549
+ "step": 880
1550
+ },
1551
+ {
1552
+ "epoch": 0.585043017868961,
1553
+ "grad_norm": 1.2150722742080688,
1554
+ "learning_rate": 8.478974373263318e-05,
1555
+ "loss": 1.4603,
1556
+ "step": 884
1557
+ },
1558
+ {
1559
+ "epoch": 0.5876902713434812,
1560
+ "grad_norm": 1.5128766298294067,
1561
+ "learning_rate": 8.463216899064179e-05,
1562
+ "loss": 1.7955,
1563
+ "step": 888
1564
+ },
1565
+ {
1566
+ "epoch": 0.5903375248180013,
1567
+ "grad_norm": 1.3931621313095093,
1568
+ "learning_rate": 8.447393029932692e-05,
1569
+ "loss": 1.8027,
1570
+ "step": 892
1571
+ },
1572
+ {
1573
+ "epoch": 0.5929847782925215,
1574
+ "grad_norm": 1.4115737676620483,
1575
+ "learning_rate": 8.431503069235565e-05,
1576
+ "loss": 1.5827,
1577
+ "step": 896
1578
+ },
1579
+ {
1580
+ "epoch": 0.5956320317670417,
1581
+ "grad_norm": 1.4222979545593262,
1582
+ "learning_rate": 8.415547321606584e-05,
1583
+ "loss": 1.6744,
1584
+ "step": 900
1585
+ },
1586
+ {
1587
+ "epoch": 0.5982792852415619,
1588
+ "grad_norm": 1.3109382390975952,
1589
+ "learning_rate": 8.399526092940768e-05,
1590
+ "loss": 1.6247,
1591
+ "step": 904
1592
+ },
1593
+ {
1594
+ "epoch": 0.600926538716082,
1595
+ "grad_norm": 1.5184141397476196,
1596
+ "learning_rate": 8.38343969038849e-05,
1597
+ "loss": 1.7907,
1598
+ "step": 908
1599
+ },
1600
+ {
1601
+ "epoch": 0.6035737921906023,
1602
+ "grad_norm": 1.4683995246887207,
1603
+ "learning_rate": 8.367288422349617e-05,
1604
+ "loss": 1.7061,
1605
+ "step": 912
1606
+ },
1607
+ {
1608
+ "epoch": 0.6062210456651225,
1609
+ "grad_norm": 1.4031612873077393,
1610
+ "learning_rate": 8.351072598467576e-05,
1611
+ "loss": 1.6612,
1612
+ "step": 916
1613
+ },
1614
+ {
1615
+ "epoch": 0.6088682991396426,
1616
+ "grad_norm": 1.2582640647888184,
1617
+ "learning_rate": 8.334792529623419e-05,
1618
+ "loss": 1.4902,
1619
+ "step": 920
1620
+ },
1621
+ {
1622
+ "epoch": 0.6115155526141628,
1623
+ "grad_norm": 2.3730320930480957,
1624
+ "learning_rate": 8.318448527929877e-05,
1625
+ "loss": 1.6021,
1626
+ "step": 924
1627
+ },
1628
+ {
1629
+ "epoch": 0.614162806088683,
1630
+ "grad_norm": 1.5273563861846924,
1631
+ "learning_rate": 8.302040906725361e-05,
1632
+ "loss": 1.7583,
1633
+ "step": 928
1634
+ },
1635
+ {
1636
+ "epoch": 0.6168100595632032,
1637
+ "grad_norm": 1.3741856813430786,
1638
+ "learning_rate": 8.285569980567964e-05,
1639
+ "loss": 1.6579,
1640
+ "step": 932
1641
+ },
1642
+ {
1643
+ "epoch": 0.6194573130377233,
1644
+ "grad_norm": 1.4378982782363892,
1645
+ "learning_rate": 8.269036065229427e-05,
1646
+ "loss": 1.7302,
1647
+ "step": 936
1648
+ },
1649
+ {
1650
+ "epoch": 0.6221045665122436,
1651
+ "grad_norm": 1.438852310180664,
1652
+ "learning_rate": 8.252439477689082e-05,
1653
+ "loss": 1.6479,
1654
+ "step": 940
1655
+ },
1656
+ {
1657
+ "epoch": 0.6247518199867638,
1658
+ "grad_norm": 1.4666221141815186,
1659
+ "learning_rate": 8.235780536127787e-05,
1660
+ "loss": 1.5313,
1661
+ "step": 944
1662
+ },
1663
+ {
1664
+ "epoch": 0.6273990734612839,
1665
+ "grad_norm": 1.4131202697753906,
1666
+ "learning_rate": 8.21905955992181e-05,
1667
+ "loss": 1.6741,
1668
+ "step": 948
1669
+ },
1670
+ {
1671
+ "epoch": 0.6300463269358041,
1672
+ "grad_norm": 1.3892124891281128,
1673
+ "learning_rate": 8.202276869636713e-05,
1674
+ "loss": 1.6632,
1675
+ "step": 952
1676
+ },
1677
+ {
1678
+ "epoch": 0.6326935804103243,
1679
+ "grad_norm": 1.499426007270813,
1680
+ "learning_rate": 8.185432787021216e-05,
1681
+ "loss": 1.5264,
1682
+ "step": 956
1683
+ },
1684
+ {
1685
+ "epoch": 0.6353408338848445,
1686
+ "grad_norm": 1.3629894256591797,
1687
+ "learning_rate": 8.168527635001015e-05,
1688
+ "loss": 1.5446,
1689
+ "step": 960
1690
+ },
1691
+ {
1692
+ "epoch": 0.6379880873593646,
1693
+ "grad_norm": 1.2739462852478027,
1694
+ "learning_rate": 8.151561737672591e-05,
1695
+ "loss": 1.7349,
1696
+ "step": 964
1697
+ },
1698
+ {
1699
+ "epoch": 0.6406353408338848,
1700
+ "grad_norm": 1.306991696357727,
1701
+ "learning_rate": 8.134535420297008e-05,
1702
+ "loss": 1.5969,
1703
+ "step": 968
1704
+ },
1705
+ {
1706
+ "epoch": 0.6432825943084051,
1707
+ "grad_norm": 1.3341622352600098,
1708
+ "learning_rate": 8.117449009293668e-05,
1709
+ "loss": 1.6726,
1710
+ "step": 972
1711
+ },
1712
+ {
1713
+ "epoch": 0.6459298477829252,
1714
+ "grad_norm": 1.3210887908935547,
1715
+ "learning_rate": 8.100302832234056e-05,
1716
+ "loss": 1.6547,
1717
+ "step": 976
1718
+ },
1719
+ {
1720
+ "epoch": 0.6485771012574454,
1721
+ "grad_norm": 1.6015820503234863,
1722
+ "learning_rate": 8.083097217835461e-05,
1723
+ "loss": 1.6409,
1724
+ "step": 980
1725
+ },
1726
+ {
1727
+ "epoch": 0.6512243547319656,
1728
+ "grad_norm": 1.3567839860916138,
1729
+ "learning_rate": 8.065832495954668e-05,
1730
+ "loss": 1.7578,
1731
+ "step": 984
1732
+ },
1733
+ {
1734
+ "epoch": 0.6538716082064858,
1735
+ "grad_norm": 1.3692917823791504,
1736
+ "learning_rate": 8.048508997581647e-05,
1737
+ "loss": 1.647,
1738
+ "step": 988
1739
+ },
1740
+ {
1741
+ "epoch": 0.6565188616810059,
1742
+ "grad_norm": 1.4648549556732178,
1743
+ "learning_rate": 8.03112705483319e-05,
1744
+ "loss": 1.7708,
1745
+ "step": 992
1746
+ },
1747
+ {
1748
+ "epoch": 0.6591661151555261,
1749
+ "grad_norm": 1.3697330951690674,
1750
+ "learning_rate": 8.013687000946561e-05,
1751
+ "loss": 1.5405,
1752
+ "step": 996
1753
+ },
1754
+ {
1755
+ "epoch": 0.6618133686300464,
1756
+ "grad_norm": 1.4155359268188477,
1757
+ "learning_rate": 7.996189170273096e-05,
1758
+ "loss": 1.708,
1759
+ "step": 1000
1760
+ },
1761
+ {
1762
+ "epoch": 0.6644606221045665,
1763
+ "grad_norm": 1.0955262184143066,
1764
+ "learning_rate": 7.978633898271795e-05,
1765
+ "loss": 1.3617,
1766
+ "step": 1004
1767
+ },
1768
+ {
1769
+ "epoch": 0.6671078755790867,
1770
+ "grad_norm": 1.480194330215454,
1771
+ "learning_rate": 7.961021521502895e-05,
1772
+ "loss": 1.6045,
1773
+ "step": 1008
1774
+ },
1775
+ {
1776
+ "epoch": 0.6697551290536069,
1777
+ "grad_norm": 1.3911713361740112,
1778
+ "learning_rate": 7.943352377621414e-05,
1779
+ "loss": 1.6599,
1780
+ "step": 1012
1781
+ },
1782
+ {
1783
+ "epoch": 0.6724023825281271,
1784
+ "grad_norm": 1.230700969696045,
1785
+ "learning_rate": 7.925626805370678e-05,
1786
+ "loss": 1.4586,
1787
+ "step": 1016
1788
+ },
1789
+ {
1790
+ "epoch": 0.6750496360026472,
1791
+ "grad_norm": 1.3873647451400757,
1792
+ "learning_rate": 7.907845144575829e-05,
1793
+ "loss": 1.6458,
1794
+ "step": 1020
1795
+ },
1796
+ {
1797
+ "epoch": 0.6776968894771674,
1798
+ "grad_norm": 1.2631981372833252,
1799
+ "learning_rate": 7.890007736137307e-05,
1800
+ "loss": 1.5528,
1801
+ "step": 1024
1802
+ },
1803
+ {
1804
+ "epoch": 0.6803441429516877,
1805
+ "grad_norm": 1.4044338464736938,
1806
+ "learning_rate": 7.872114922024313e-05,
1807
+ "loss": 1.5926,
1808
+ "step": 1028
1809
+ },
1810
+ {
1811
+ "epoch": 0.6829913964262078,
1812
+ "grad_norm": 1.4623993635177612,
1813
+ "learning_rate": 7.854167045268264e-05,
1814
+ "loss": 1.4877,
1815
+ "step": 1032
1816
+ },
1817
+ {
1818
+ "epoch": 0.685638649900728,
1819
+ "grad_norm": 1.2731891870498657,
1820
+ "learning_rate": 7.836164449956199e-05,
1821
+ "loss": 1.5832,
1822
+ "step": 1036
1823
+ },
1824
+ {
1825
+ "epoch": 0.6882859033752482,
1826
+ "grad_norm": 1.3587007522583008,
1827
+ "learning_rate": 7.818107481224198e-05,
1828
+ "loss": 1.496,
1829
+ "step": 1040
1830
+ },
1831
+ {
1832
+ "epoch": 0.6909331568497684,
1833
+ "grad_norm": 1.5598070621490479,
1834
+ "learning_rate": 7.799996485250755e-05,
1835
+ "loss": 1.4943,
1836
+ "step": 1044
1837
+ },
1838
+ {
1839
+ "epoch": 0.6935804103242885,
1840
+ "grad_norm": 1.2438719272613525,
1841
+ "learning_rate": 7.781831809250151e-05,
1842
+ "loss": 1.6271,
1843
+ "step": 1048
1844
+ },
1845
+ {
1846
+ "epoch": 0.6962276637988087,
1847
+ "grad_norm": 1.393099069595337,
1848
+ "learning_rate": 7.763613801465786e-05,
1849
+ "loss": 1.6096,
1850
+ "step": 1052
1851
+ },
1852
+ {
1853
+ "epoch": 0.698874917273329,
1854
+ "grad_norm": 1.3444733619689941,
1855
+ "learning_rate": 7.745342811163507e-05,
1856
+ "loss": 1.5174,
1857
+ "step": 1056
1858
+ },
1859
+ {
1860
+ "epoch": 0.7015221707478491,
1861
+ "grad_norm": 1.3353770971298218,
1862
+ "learning_rate": 7.727019188624922e-05,
1863
+ "loss": 1.6596,
1864
+ "step": 1060
1865
+ },
1866
+ {
1867
+ "epoch": 0.7041694242223693,
1868
+ "grad_norm": 1.3728408813476562,
1869
+ "learning_rate": 7.708643285140667e-05,
1870
+ "loss": 1.7569,
1871
+ "step": 1064
1872
+ },
1873
+ {
1874
+ "epoch": 0.7068166776968895,
1875
+ "grad_norm": 1.3551334142684937,
1876
+ "learning_rate": 7.690215453003684e-05,
1877
+ "loss": 1.4542,
1878
+ "step": 1068
1879
+ },
1880
+ {
1881
+ "epoch": 0.7094639311714097,
1882
+ "grad_norm": 1.3880891799926758,
1883
+ "learning_rate": 7.671736045502462e-05,
1884
+ "loss": 1.7059,
1885
+ "step": 1072
1886
+ },
1887
+ {
1888
+ "epoch": 0.7121111846459298,
1889
+ "grad_norm": 1.4413353204727173,
1890
+ "learning_rate": 7.653205416914267e-05,
1891
+ "loss": 1.5083,
1892
+ "step": 1076
1893
+ },
1894
+ {
1895
+ "epoch": 0.71475843812045,
1896
+ "grad_norm": 1.3269354104995728,
1897
+ "learning_rate": 7.634623922498348e-05,
1898
+ "loss": 1.616,
1899
+ "step": 1080
1900
+ },
1901
+ {
1902
+ "epoch": 0.7174056915949703,
1903
+ "grad_norm": 1.290656566619873,
1904
+ "learning_rate": 7.615991918489125e-05,
1905
+ "loss": 1.7394,
1906
+ "step": 1084
1907
+ },
1908
+ {
1909
+ "epoch": 0.7200529450694904,
1910
+ "grad_norm": 1.2843822240829468,
1911
+ "learning_rate": 7.597309762089359e-05,
1912
+ "loss": 1.4916,
1913
+ "step": 1088
1914
+ },
1915
+ {
1916
+ "epoch": 0.7227001985440106,
1917
+ "grad_norm": 1.2776360511779785,
1918
+ "learning_rate": 7.57857781146331e-05,
1919
+ "loss": 1.5602,
1920
+ "step": 1092
1921
+ },
1922
+ {
1923
+ "epoch": 0.7253474520185308,
1924
+ "grad_norm": 1.2273900508880615,
1925
+ "learning_rate": 7.559796425729863e-05,
1926
+ "loss": 1.507,
1927
+ "step": 1096
1928
+ },
1929
+ {
1930
+ "epoch": 0.727994705493051,
1931
+ "grad_norm": 1.425979495048523,
1932
+ "learning_rate": 7.540965964955649e-05,
1933
+ "loss": 1.6868,
1934
+ "step": 1100
1935
+ },
1936
+ {
1937
+ "epoch": 0.7306419589675711,
1938
+ "grad_norm": 1.1589537858963013,
1939
+ "learning_rate": 7.522086790148133e-05,
1940
+ "loss": 1.7104,
1941
+ "step": 1104
1942
+ },
1943
+ {
1944
+ "epoch": 0.7332892124420913,
1945
+ "grad_norm": 1.309058427810669,
1946
+ "learning_rate": 7.503159263248709e-05,
1947
+ "loss": 1.676,
1948
+ "step": 1108
1949
+ },
1950
+ {
1951
+ "epoch": 0.7359364659166115,
1952
+ "grad_norm": 1.2926828861236572,
1953
+ "learning_rate": 7.484183747125742e-05,
1954
+ "loss": 1.4925,
1955
+ "step": 1112
1956
+ },
1957
+ {
1958
+ "epoch": 0.7385837193911317,
1959
+ "grad_norm": 1.1898349523544312,
1960
+ "learning_rate": 7.46516060556763e-05,
1961
+ "loss": 1.5822,
1962
+ "step": 1116
1963
+ },
1964
+ {
1965
+ "epoch": 0.7412309728656519,
1966
+ "grad_norm": 1.5024652481079102,
1967
+ "learning_rate": 7.446090203275809e-05,
1968
+ "loss": 1.6646,
1969
+ "step": 1120
1970
+ },
1971
+ {
1972
+ "epoch": 0.7438782263401721,
1973
+ "grad_norm": 1.3592578172683716,
1974
+ "learning_rate": 7.426972905857781e-05,
1975
+ "loss": 1.5341,
1976
+ "step": 1124
1977
+ },
1978
+ {
1979
+ "epoch": 0.7465254798146923,
1980
+ "grad_norm": 1.3298940658569336,
1981
+ "learning_rate": 7.407809079820094e-05,
1982
+ "loss": 1.7761,
1983
+ "step": 1128
1984
+ },
1985
+ {
1986
+ "epoch": 0.7491727332892124,
1987
+ "grad_norm": 1.2832707166671753,
1988
+ "learning_rate": 7.388599092561315e-05,
1989
+ "loss": 1.6397,
1990
+ "step": 1132
1991
+ },
1992
+ {
1993
+ "epoch": 0.7518199867637326,
1994
+ "grad_norm": 1.4493275880813599,
1995
+ "learning_rate": 7.369343312364993e-05,
1996
+ "loss": 1.5245,
1997
+ "step": 1136
1998
+ },
1999
+ {
2000
+ "epoch": 0.7544672402382528,
2001
+ "grad_norm": 1.239708423614502,
2002
+ "learning_rate": 7.350042108392594e-05,
2003
+ "loss": 1.4402,
2004
+ "step": 1140
2005
+ },
2006
+ {
2007
+ "epoch": 0.757114493712773,
2008
+ "grad_norm": 1.5889708995819092,
2009
+ "learning_rate": 7.330695850676421e-05,
2010
+ "loss": 1.5915,
2011
+ "step": 1144
2012
+ },
2013
+ {
2014
+ "epoch": 0.7597617471872932,
2015
+ "grad_norm": 2.788710832595825,
2016
+ "learning_rate": 7.311304910112525e-05,
2017
+ "loss": 1.6522,
2018
+ "step": 1148
2019
+ },
2020
+ {
2021
+ "epoch": 0.7624090006618134,
2022
+ "grad_norm": 1.4260072708129883,
2023
+ "learning_rate": 7.291869658453594e-05,
2024
+ "loss": 1.792,
2025
+ "step": 1152
2026
+ },
2027
+ {
2028
+ "epoch": 0.7650562541363336,
2029
+ "grad_norm": 1.3381611108779907,
2030
+ "learning_rate": 7.272390468301821e-05,
2031
+ "loss": 1.6558,
2032
+ "step": 1156
2033
+ },
2034
+ {
2035
+ "epoch": 0.7677035076108537,
2036
+ "grad_norm": 1.2346041202545166,
2037
+ "learning_rate": 7.252867713101771e-05,
2038
+ "loss": 1.3681,
2039
+ "step": 1160
2040
+ },
2041
+ {
2042
+ "epoch": 0.7703507610853739,
2043
+ "grad_norm": 1.2784842252731323,
2044
+ "learning_rate": 7.233301767133205e-05,
2045
+ "loss": 1.5347,
2046
+ "step": 1164
2047
+ },
2048
+ {
2049
+ "epoch": 0.7729980145598941,
2050
+ "grad_norm": 1.4147677421569824,
2051
+ "learning_rate": 7.213693005503924e-05,
2052
+ "loss": 1.6521,
2053
+ "step": 1168
2054
+ },
2055
+ {
2056
+ "epoch": 0.7756452680344142,
2057
+ "grad_norm": 1.3260513544082642,
2058
+ "learning_rate": 7.194041804142557e-05,
2059
+ "loss": 1.7057,
2060
+ "step": 1172
2061
+ },
2062
+ {
2063
+ "epoch": 0.7782925215089345,
2064
+ "grad_norm": 1.23674476146698,
2065
+ "learning_rate": 7.174348539791375e-05,
2066
+ "loss": 1.3705,
2067
+ "step": 1176
2068
+ },
2069
+ {
2070
+ "epoch": 0.7809397749834547,
2071
+ "grad_norm": 1.3101705312728882,
2072
+ "learning_rate": 7.154613589999054e-05,
2073
+ "loss": 1.7117,
2074
+ "step": 1180
2075
+ },
2076
+ {
2077
+ "epoch": 0.7835870284579749,
2078
+ "grad_norm": 1.287341594696045,
2079
+ "learning_rate": 7.13483733311344e-05,
2080
+ "loss": 1.4148,
2081
+ "step": 1184
2082
+ },
2083
+ {
2084
+ "epoch": 0.786234281932495,
2085
+ "grad_norm": 1.5907158851623535,
2086
+ "learning_rate": 7.115020148274295e-05,
2087
+ "loss": 1.6679,
2088
+ "step": 1188
2089
+ },
2090
+ {
2091
+ "epoch": 0.7888815354070152,
2092
+ "grad_norm": 1.3115376234054565,
2093
+ "learning_rate": 7.095162415406034e-05,
2094
+ "loss": 1.5572,
2095
+ "step": 1192
2096
+ },
2097
+ {
2098
+ "epoch": 0.7915287888815354,
2099
+ "grad_norm": 1.3476297855377197,
2100
+ "learning_rate": 7.075264515210435e-05,
2101
+ "loss": 1.5828,
2102
+ "step": 1196
2103
+ },
2104
+ {
2105
+ "epoch": 0.7941760423560555,
2106
+ "grad_norm": 1.3659868240356445,
2107
+ "learning_rate": 7.055326829159341e-05,
2108
+ "loss": 1.5468,
2109
+ "step": 1200
2110
+ },
2111
+ {
2112
+ "epoch": 0.7968232958305758,
2113
+ "grad_norm": 1.4729256629943848,
2114
+ "learning_rate": 7.03534973948735e-05,
2115
+ "loss": 1.6008,
2116
+ "step": 1204
2117
+ },
2118
+ {
2119
+ "epoch": 0.799470549305096,
2120
+ "grad_norm": 1.3182849884033203,
2121
+ "learning_rate": 7.015333629184484e-05,
2122
+ "loss": 1.5134,
2123
+ "step": 1208
2124
+ },
2125
+ {
2126
+ "epoch": 0.8021178027796162,
2127
+ "grad_norm": 1.334165096282959,
2128
+ "learning_rate": 6.995278881988847e-05,
2129
+ "loss": 1.5952,
2130
+ "step": 1212
2131
+ },
2132
+ {
2133
+ "epoch": 0.8047650562541363,
2134
+ "grad_norm": 1.3390055894851685,
2135
+ "learning_rate": 6.975185882379271e-05,
2136
+ "loss": 1.4782,
2137
+ "step": 1216
2138
+ },
2139
+ {
2140
+ "epoch": 0.8074123097286565,
2141
+ "grad_norm": 1.3522272109985352,
2142
+ "learning_rate": 6.955055015567942e-05,
2143
+ "loss": 1.5075,
2144
+ "step": 1220
2145
+ },
2146
+ {
2147
+ "epoch": 0.8100595632031767,
2148
+ "grad_norm": 4.2179059982299805,
2149
+ "learning_rate": 6.934886667493012e-05,
2150
+ "loss": 1.4707,
2151
+ "step": 1224
2152
+ },
2153
+ {
2154
+ "epoch": 0.8127068166776968,
2155
+ "grad_norm": 1.2791635990142822,
2156
+ "learning_rate": 6.914681224811208e-05,
2157
+ "loss": 1.5571,
2158
+ "step": 1228
2159
+ },
2160
+ {
2161
+ "epoch": 0.8153540701522171,
2162
+ "grad_norm": 1.2795437574386597,
2163
+ "learning_rate": 6.894439074890414e-05,
2164
+ "loss": 1.5616,
2165
+ "step": 1232
2166
+ },
2167
+ {
2168
+ "epoch": 0.8180013236267373,
2169
+ "grad_norm": 1.3185795545578003,
2170
+ "learning_rate": 6.874160605802244e-05,
2171
+ "loss": 1.6333,
2172
+ "step": 1236
2173
+ },
2174
+ {
2175
+ "epoch": 0.8206485771012575,
2176
+ "grad_norm": 1.3139797449111938,
2177
+ "learning_rate": 6.853846206314605e-05,
2178
+ "loss": 1.5663,
2179
+ "step": 1240
2180
+ },
2181
+ {
2182
+ "epoch": 0.8232958305757776,
2183
+ "grad_norm": 1.2083790302276611,
2184
+ "learning_rate": 6.833496265884241e-05,
2185
+ "loss": 1.5103,
2186
+ "step": 1244
2187
+ },
2188
+ {
2189
+ "epoch": 0.8259430840502978,
2190
+ "grad_norm": 1.5744483470916748,
2191
+ "learning_rate": 6.813111174649269e-05,
2192
+ "loss": 1.7545,
2193
+ "step": 1248
2194
+ },
2195
+ {
2196
+ "epoch": 0.828590337524818,
2197
+ "grad_norm": 1.2797157764434814,
2198
+ "learning_rate": 6.792691323421698e-05,
2199
+ "loss": 1.5789,
2200
+ "step": 1252
2201
+ },
2202
+ {
2203
+ "epoch": 0.8312375909993381,
2204
+ "grad_norm": 1.27366304397583,
2205
+ "learning_rate": 6.772237103679937e-05,
2206
+ "loss": 1.6271,
2207
+ "step": 1256
2208
+ },
2209
+ {
2210
+ "epoch": 0.8338848444738584,
2211
+ "grad_norm": 1.2030060291290283,
2212
+ "learning_rate": 6.751748907561288e-05,
2213
+ "loss": 1.4017,
2214
+ "step": 1260
2215
+ },
2216
+ {
2217
+ "epoch": 0.8365320979483786,
2218
+ "grad_norm": 1.2918180227279663,
2219
+ "learning_rate": 6.731227127854434e-05,
2220
+ "loss": 1.5686,
2221
+ "step": 1264
2222
+ },
2223
+ {
2224
+ "epoch": 0.8391793514228988,
2225
+ "grad_norm": 1.3792778253555298,
2226
+ "learning_rate": 6.710672157991899e-05,
2227
+ "loss": 1.5969,
2228
+ "step": 1268
2229
+ },
2230
+ {
2231
+ "epoch": 0.8418266048974189,
2232
+ "grad_norm": 1.349704623222351,
2233
+ "learning_rate": 6.690084392042513e-05,
2234
+ "loss": 1.4658,
2235
+ "step": 1272
2236
+ },
2237
+ {
2238
+ "epoch": 0.8444738583719391,
2239
+ "grad_norm": 1.314712405204773,
2240
+ "learning_rate": 6.669464224703861e-05,
2241
+ "loss": 1.6031,
2242
+ "step": 1276
2243
+ },
2244
+ {
2245
+ "epoch": 0.8471211118464593,
2246
+ "grad_norm": 1.2862118482589722,
2247
+ "learning_rate": 6.648812051294697e-05,
2248
+ "loss": 1.4582,
2249
+ "step": 1280
2250
+ },
2251
+ {
2252
+ "epoch": 0.8497683653209794,
2253
+ "grad_norm": 1.249649167060852,
2254
+ "learning_rate": 6.628128267747391e-05,
2255
+ "loss": 1.5963,
2256
+ "step": 1284
2257
+ },
2258
+ {
2259
+ "epoch": 0.8524156187954997,
2260
+ "grad_norm": 1.4206124544143677,
2261
+ "learning_rate": 6.607413270600319e-05,
2262
+ "loss": 1.631,
2263
+ "step": 1288
2264
+ },
2265
+ {
2266
+ "epoch": 0.8550628722700199,
2267
+ "grad_norm": 1.3754596710205078,
2268
+ "learning_rate": 6.586667456990267e-05,
2269
+ "loss": 1.6588,
2270
+ "step": 1292
2271
+ },
2272
+ {
2273
+ "epoch": 0.8577101257445401,
2274
+ "grad_norm": 1.375802993774414,
2275
+ "learning_rate": 6.565891224644822e-05,
2276
+ "loss": 1.528,
2277
+ "step": 1296
2278
+ },
2279
+ {
2280
+ "epoch": 0.8603573792190602,
2281
+ "grad_norm": 1.3465059995651245,
2282
+ "learning_rate": 6.545084971874738e-05,
2283
+ "loss": 1.5359,
2284
+ "step": 1300
2285
+ },
2286
+ {
2287
+ "epoch": 0.8630046326935804,
2288
+ "grad_norm": 1.3681912422180176,
2289
+ "learning_rate": 6.524249097566306e-05,
2290
+ "loss": 1.6129,
2291
+ "step": 1304
2292
+ },
2293
+ {
2294
+ "epoch": 0.8656518861681006,
2295
+ "grad_norm": 1.216261625289917,
2296
+ "learning_rate": 6.503384001173707e-05,
2297
+ "loss": 1.3435,
2298
+ "step": 1308
2299
+ },
2300
+ {
2301
+ "epoch": 0.8682991396426207,
2302
+ "grad_norm": 1.3217042684555054,
2303
+ "learning_rate": 6.48249008271135e-05,
2304
+ "loss": 1.5285,
2305
+ "step": 1312
2306
+ },
2307
+ {
2308
+ "epoch": 0.870946393117141,
2309
+ "grad_norm": 1.3882989883422852,
2310
+ "learning_rate": 6.461567742746206e-05,
2311
+ "loss": 1.637,
2312
+ "step": 1316
2313
+ },
2314
+ {
2315
+ "epoch": 0.8735936465916612,
2316
+ "grad_norm": 1.2400107383728027,
2317
+ "learning_rate": 6.440617382390128e-05,
2318
+ "loss": 1.5658,
2319
+ "step": 1320
2320
+ },
2321
+ {
2322
+ "epoch": 0.8762409000661814,
2323
+ "grad_norm": 1.1711450815200806,
2324
+ "learning_rate": 6.419639403292161e-05,
2325
+ "loss": 1.6047,
2326
+ "step": 1324
2327
+ },
2328
+ {
2329
+ "epoch": 0.8788881535407015,
2330
+ "grad_norm": 1.3696454763412476,
2331
+ "learning_rate": 6.398634207630841e-05,
2332
+ "loss": 1.5399,
2333
+ "step": 1328
2334
+ },
2335
+ {
2336
+ "epoch": 0.8815354070152217,
2337
+ "grad_norm": 1.3397842645645142,
2338
+ "learning_rate": 6.377602198106483e-05,
2339
+ "loss": 1.5335,
2340
+ "step": 1332
2341
+ },
2342
+ {
2343
+ "epoch": 0.8841826604897419,
2344
+ "grad_norm": 1.2820230722427368,
2345
+ "learning_rate": 6.356543777933468e-05,
2346
+ "loss": 1.4757,
2347
+ "step": 1336
2348
+ },
2349
+ {
2350
+ "epoch": 0.886829913964262,
2351
+ "grad_norm": 1.4850640296936035,
2352
+ "learning_rate": 6.335459350832504e-05,
2353
+ "loss": 1.6376,
2354
+ "step": 1340
2355
+ },
2356
+ {
2357
+ "epoch": 0.8894771674387822,
2358
+ "grad_norm": 1.2414631843566895,
2359
+ "learning_rate": 6.314349321022893e-05,
2360
+ "loss": 1.4272,
2361
+ "step": 1344
2362
+ },
2363
+ {
2364
+ "epoch": 0.8921244209133025,
2365
+ "grad_norm": 1.4662775993347168,
2366
+ "learning_rate": 6.293214093214775e-05,
2367
+ "loss": 1.5005,
2368
+ "step": 1348
2369
+ },
2370
+ {
2371
+ "epoch": 0.8947716743878227,
2372
+ "grad_norm": 1.3633265495300293,
2373
+ "learning_rate": 6.272054072601374e-05,
2374
+ "loss": 1.5595,
2375
+ "step": 1352
2376
+ },
2377
+ {
2378
+ "epoch": 0.8974189278623428,
2379
+ "grad_norm": 1.1849807500839233,
2380
+ "learning_rate": 6.250869664851227e-05,
2381
+ "loss": 1.3661,
2382
+ "step": 1356
2383
+ },
2384
+ {
2385
+ "epoch": 0.900066181336863,
2386
+ "grad_norm": 1.2869032621383667,
2387
+ "learning_rate": 6.229661276100412e-05,
2388
+ "loss": 1.4952,
2389
+ "step": 1360
2390
+ },
2391
+ {
2392
+ "epoch": 0.9027134348113832,
2393
+ "grad_norm": 1.2344225645065308,
2394
+ "learning_rate": 6.208429312944754e-05,
2395
+ "loss": 1.4536,
2396
+ "step": 1364
2397
+ },
2398
+ {
2399
+ "epoch": 0.9053606882859033,
2400
+ "grad_norm": 1.4070030450820923,
2401
+ "learning_rate": 6.187174182432033e-05,
2402
+ "loss": 1.5211,
2403
+ "step": 1368
2404
+ },
2405
+ {
2406
+ "epoch": 0.9080079417604235,
2407
+ "grad_norm": 1.2222853899002075,
2408
+ "learning_rate": 6.165896292054187e-05,
2409
+ "loss": 1.5136,
2410
+ "step": 1372
2411
+ },
2412
+ {
2413
+ "epoch": 0.9106551952349438,
2414
+ "grad_norm": 1.3191885948181152,
2415
+ "learning_rate": 6.14459604973949e-05,
2416
+ "loss": 1.4809,
2417
+ "step": 1376
2418
+ },
2419
+ {
2420
+ "epoch": 0.913302448709464,
2421
+ "grad_norm": 1.2976018190383911,
2422
+ "learning_rate": 6.12327386384473e-05,
2423
+ "loss": 1.5621,
2424
+ "step": 1380
2425
+ },
2426
+ {
2427
+ "epoch": 0.9159497021839841,
2428
+ "grad_norm": 1.3803764581680298,
2429
+ "learning_rate": 6.101930143147395e-05,
2430
+ "loss": 1.5469,
2431
+ "step": 1384
2432
+ },
2433
+ {
2434
+ "epoch": 0.9185969556585043,
2435
+ "grad_norm": 1.3461982011795044,
2436
+ "learning_rate": 6.080565296837821e-05,
2437
+ "loss": 1.5434,
2438
+ "step": 1388
2439
+ },
2440
+ {
2441
+ "epoch": 0.9212442091330245,
2442
+ "grad_norm": 1.2731950283050537,
2443
+ "learning_rate": 6.059179734511356e-05,
2444
+ "loss": 1.3728,
2445
+ "step": 1392
2446
+ },
2447
+ {
2448
+ "epoch": 0.9238914626075446,
2449
+ "grad_norm": 1.2360509634017944,
2450
+ "learning_rate": 6.037773866160502e-05,
2451
+ "loss": 1.405,
2452
+ "step": 1396
2453
+ },
2454
+ {
2455
+ "epoch": 0.9265387160820648,
2456
+ "grad_norm": 1.3289110660552979,
2457
+ "learning_rate": 6.0163481021670575e-05,
2458
+ "loss": 1.6851,
2459
+ "step": 1400
2460
+ },
2461
+ {
2462
+ "epoch": 0.9291859695565851,
2463
+ "grad_norm": 1.2140709161758423,
2464
+ "learning_rate": 5.994902853294251e-05,
2465
+ "loss": 1.5109,
2466
+ "step": 1404
2467
+ },
2468
+ {
2469
+ "epoch": 0.9318332230311053,
2470
+ "grad_norm": 1.364023208618164,
2471
+ "learning_rate": 5.973438530678861e-05,
2472
+ "loss": 1.613,
2473
+ "step": 1408
2474
+ },
2475
+ {
2476
+ "epoch": 0.9344804765056254,
2477
+ "grad_norm": 1.3927541971206665,
2478
+ "learning_rate": 5.951955545823342e-05,
2479
+ "loss": 1.6401,
2480
+ "step": 1412
2481
+ },
2482
+ {
2483
+ "epoch": 0.9371277299801456,
2484
+ "grad_norm": 1.2477508783340454,
2485
+ "learning_rate": 5.930454310587929e-05,
2486
+ "loss": 1.4617,
2487
+ "step": 1416
2488
+ },
2489
+ {
2490
+ "epoch": 0.9397749834546658,
2491
+ "grad_norm": 1.455429196357727,
2492
+ "learning_rate": 5.9089352371827446e-05,
2493
+ "loss": 1.7028,
2494
+ "step": 1420
2495
+ },
2496
+ {
2497
+ "epoch": 0.9424222369291859,
2498
+ "grad_norm": 1.379651665687561,
2499
+ "learning_rate": 5.8873987381598924e-05,
2500
+ "loss": 1.6448,
2501
+ "step": 1424
2502
+ },
2503
+ {
2504
+ "epoch": 0.9450694904037061,
2505
+ "grad_norm": 1.2866801023483276,
2506
+ "learning_rate": 5.865845226405553e-05,
2507
+ "loss": 1.4807,
2508
+ "step": 1428
2509
+ },
2510
+ {
2511
+ "epoch": 0.9477167438782264,
2512
+ "grad_norm": 2.283489465713501,
2513
+ "learning_rate": 5.844275115132064e-05,
2514
+ "loss": 1.5081,
2515
+ "step": 1432
2516
+ },
2517
+ {
2518
+ "epoch": 0.9503639973527466,
2519
+ "grad_norm": 1.1935935020446777,
2520
+ "learning_rate": 5.822688817870004e-05,
2521
+ "loss": 1.5479,
2522
+ "step": 1436
2523
+ },
2524
+ {
2525
+ "epoch": 0.9530112508272667,
2526
+ "grad_norm": 1.3389490842819214,
2527
+ "learning_rate": 5.801086748460255e-05,
2528
+ "loss": 1.5592,
2529
+ "step": 1440
2530
+ },
2531
+ {
2532
+ "epoch": 0.9556585043017869,
2533
+ "grad_norm": 1.3386996984481812,
2534
+ "learning_rate": 5.7794693210460804e-05,
2535
+ "loss": 1.5736,
2536
+ "step": 1444
2537
+ },
2538
+ {
2539
+ "epoch": 0.9583057577763071,
2540
+ "grad_norm": 1.3163249492645264,
2541
+ "learning_rate": 5.757836950065172e-05,
2542
+ "loss": 1.4719,
2543
+ "step": 1448
2544
+ },
2545
+ {
2546
+ "epoch": 0.9609530112508272,
2547
+ "grad_norm": 1.3524895906448364,
2548
+ "learning_rate": 5.736190050241719e-05,
2549
+ "loss": 1.7056,
2550
+ "step": 1452
2551
+ },
2552
+ {
2553
+ "epoch": 0.9636002647253474,
2554
+ "grad_norm": 1.2378168106079102,
2555
+ "learning_rate": 5.714529036578443e-05,
2556
+ "loss": 1.4294,
2557
+ "step": 1456
2558
+ },
2559
+ {
2560
+ "epoch": 0.9662475181998676,
2561
+ "grad_norm": 1.353258728981018,
2562
+ "learning_rate": 5.692854324348653e-05,
2563
+ "loss": 1.5733,
2564
+ "step": 1460
2565
+ },
2566
+ {
2567
+ "epoch": 0.9688947716743879,
2568
+ "grad_norm": 1.412914752960205,
2569
+ "learning_rate": 5.6711663290882776e-05,
2570
+ "loss": 1.5015,
2571
+ "step": 1464
2572
+ },
2573
+ {
2574
+ "epoch": 0.971542025148908,
2575
+ "grad_norm": 1.400468349456787,
2576
+ "learning_rate": 5.649465466587902e-05,
2577
+ "loss": 1.6175,
2578
+ "step": 1468
2579
+ },
2580
+ {
2581
+ "epoch": 0.9741892786234282,
2582
+ "grad_norm": 1.3348610401153564,
2583
+ "learning_rate": 5.627752152884794e-05,
2584
+ "loss": 1.5971,
2585
+ "step": 1472
2586
+ },
2587
+ {
2588
+ "epoch": 0.9768365320979484,
2589
+ "grad_norm": 1.3182803392410278,
2590
+ "learning_rate": 5.606026804254931e-05,
2591
+ "loss": 1.4296,
2592
+ "step": 1476
2593
+ },
2594
+ {
2595
+ "epoch": 0.9794837855724685,
2596
+ "grad_norm": 1.1478044986724854,
2597
+ "learning_rate": 5.584289837205012e-05,
2598
+ "loss": 1.3953,
2599
+ "step": 1480
2600
+ },
2601
+ {
2602
+ "epoch": 0.9821310390469887,
2603
+ "grad_norm": 1.3956937789916992,
2604
+ "learning_rate": 5.5625416684644874e-05,
2605
+ "loss": 1.5031,
2606
+ "step": 1484
2607
+ },
2608
+ {
2609
+ "epoch": 0.984778292521509,
2610
+ "grad_norm": 1.275169014930725,
2611
+ "learning_rate": 5.540782714977549e-05,
2612
+ "loss": 1.5208,
2613
+ "step": 1488
2614
+ },
2615
+ {
2616
+ "epoch": 0.9874255459960292,
2617
+ "grad_norm": 1.2562490701675415,
2618
+ "learning_rate": 5.51901339389516e-05,
2619
+ "loss": 1.3706,
2620
+ "step": 1492
2621
+ },
2622
+ {
2623
+ "epoch": 0.9900727994705493,
2624
+ "grad_norm": 1.2528316974639893,
2625
+ "learning_rate": 5.4972341225670354e-05,
2626
+ "loss": 1.5021,
2627
+ "step": 1496
2628
+ },
2629
+ {
2630
+ "epoch": 0.9927200529450695,
2631
+ "grad_norm": 1.196968674659729,
2632
+ "learning_rate": 5.4754453185336586e-05,
2633
+ "loss": 1.5856,
2634
+ "step": 1500
2635
+ },
2636
+ {
2637
+ "epoch": 0.9953673064195897,
2638
+ "grad_norm": 1.2576624155044556,
2639
+ "learning_rate": 5.453647399518262e-05,
2640
+ "loss": 1.3897,
2641
+ "step": 1504
2642
+ },
2643
+ {
2644
+ "epoch": 0.9980145598941098,
2645
+ "grad_norm": 1.2169815301895142,
2646
+ "learning_rate": 5.431840783418832e-05,
2647
+ "loss": 1.3847,
2648
+ "step": 1508
2649
+ }
2650
+ ],
2651
+ "logging_steps": 4,
2652
+ "max_steps": 3022,
2653
+ "num_input_tokens_seen": 0,
2654
+ "num_train_epochs": 2,
2655
+ "save_steps": 1511,
2656
+ "stateful_callbacks": {
2657
+ "TrainerControl": {
2658
+ "args": {
2659
+ "should_epoch_stop": false,
2660
+ "should_evaluate": false,
2661
+ "should_log": false,
2662
+ "should_save": true,
2663
+ "should_training_stop": false
2664
+ },
2665
+ "attributes": {}
2666
+ }
2667
+ },
2668
+ "total_flos": 2.5577041204504166e+17,
2669
+ "train_batch_size": 8,
2670
+ "trial_name": null,
2671
+ "trial_params": null
2672
+ }
checkpoint-1511/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42967f5abbe89175c93a82bf0011a7cbad7fd20693f8a95f4528737ccaf8045d
3
+ size 5432
checkpoint-3022/config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/OLMo-2-1124-7B-szl_Latn-coli-cw2v/",
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-3022/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-3022/model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2e6657750276ebbedd168b965b409b5f5f816f40d9e61319b7201312b91e3ea4
3
+ size 4950070472
checkpoint-3022/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-3022/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-3022/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-3022/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-3022/model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d71f8a8d07738eaf013a697ae5e979a146de61dbfb9a222f222a5740647d2406
3
+ size 4614509080
checkpoint-3022/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-3022/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:602649e7a0c50d583a6b5e0f741160349d17f906ce616b3bc852a0d9392f4406
3
+ size 13055369358
checkpoint-3022/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-3022/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:03d0d2d27d290ea394fe2967fe1ee75ca9e753a7e55c04097547cd7579eb33ea
3
+ size 1064
checkpoint-3022/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3022/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42967f5abbe89175c93a82bf0011a7cbad7fd20693f8a95f4528737ccaf8045d
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-szl_Latn-coli-cw2v/",
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 sha256:2e6657750276ebbedd168b965b409b5f5f816f40d9e61319b7201312b91e3ea4
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:d71f8a8d07738eaf013a697ae5e979a146de61dbfb9a222f222a5740647d2406
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 sha256:42967f5abbe89175c93a82bf0011a7cbad7fd20693f8a95f4528737ccaf8045d
3
+ size 5432
vocab.json ADDED
The diff for this file is too large to render. See raw diff