hflserdaniel commited on
Commit
bc2257f
·
verified ·
1 Parent(s): 04930e6

Upload folder using huggingface_hub

Browse files
config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/paratera5-data/home/wangchenyue/model/SUS-Chat-34B",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 7168,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 20480,
14
+ "max_position_embeddings": 8192,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 56,
17
+ "num_hidden_layers": 60,
18
+ "num_key_value_heads": 8,
19
+ "pad_token_id": 0,
20
+ "pretraining_tp": 1,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_scaling": null,
23
+ "rope_theta": 5000000.0,
24
+ "tie_word_embeddings": false,
25
+ "torch_dtype": "bfloat16",
26
+ "transformers_version": "4.37.0.dev0",
27
+ "use_cache": false,
28
+ "vocab_size": 64000
29
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.37.0.dev0"
7
+ }
model-00001-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2531cd935debf258d5c7994494978c45fb0e42f845e40039a5bce0ecef0655fb
3
+ size 4793130760
model-00002-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6abeacb04cf8651c4addc5c29adc04b95f661ad03da42834a6a5a1697f59aae2
3
+ size 4756459720
model-00003-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8250b6d703a5158f10c2dc874fae41c35839560fa56a05956eae37a78df461bc
3
+ size 4991370136
model-00004-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8e19e412b718f7a1fa2d1ca6ed74da58edad822b45655e2b8d356dae6c133d78
3
+ size 4756459760
model-00005-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:787f34e56788ff3a0d809b6ab5bc4a23629fb8e32fdabfd2c97b5f813e015ec8
3
+ size 4756459760
model-00006-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc37b542bedc2246c09a7deb6a26b56ebd511ea49036cbc00d6b1f3736356329
3
+ size 4991370160
model-00007-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb5d028c25eacb475ab768b8e2a79c497f84cee6ddded435af94867f822dd9cd
3
+ size 4756459760
model-00008-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c0192884880fa94a9972ef45157d07bc98e8f9c5170c1b84b1e924497a4d2fd
3
+ size 4756459760
model-00009-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:51245a0b8fb6d8fd9e1d45f7228bd26d78289f3daa8b6e589f414343bd232a46
3
+ size 4991370160
model-00010-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b1f39e6a555bf37e07ba6ef926cb93642676ec10a007b4ed303b77de5a70a86
3
+ size 4756459760
model-00011-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae30b4d0940ea8c6008b2c7b7438e145eea218c6ac5d97a7ee728dd41849b594
3
+ size 4756459760
model-00012-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56a8e81e14ef5dc1a4da2ed571406ab92cf0c352785c15d2eb93aaaff6eaa1e9
3
+ size 4991370160
model-00013-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:999ca0b734b5b48fd508291288475530fbca3344793ffa0d3629a2cab16c751c
3
+ size 4756459760
model-00014-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:657d7b77e86941f0600154517f4ec8ea05dced413fac15c27642dc86e1cce490
3
+ size 4756459760
model-00015-of-00015.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b80b98add243b12c62ed484e209674a7017a11c0bafdc12c4535afda6abe15b
3
+ size 1211148856
model.safetensors.index.json ADDED
@@ -0,0 +1,550 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 68777834496
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00015-of-00015.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00015.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00015.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00015.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00015.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00015.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00004-of-00015.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00015.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00015.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00015.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00015.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00015.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00015.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00005-of-00015.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00015.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00015.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00015.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00015.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00015.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00005-of-00015.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00015.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00015.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00015.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00015.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00015.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00015.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00015.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00015.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00006-of-00015.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00015.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00015.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00015.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00015.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00015.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00015.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00006-of-00015.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00006-of-00015.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00006-of-00015.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00015.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00015.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00015.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00015.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00015.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00007-of-00015.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00015.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00015.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00015.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00015.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00007-of-00015.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00007-of-00015.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00007-of-00015.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00007-of-00015.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00007-of-00015.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00015.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00008-of-00015.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00007-of-00015.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00007-of-00015.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00007-of-00015.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00015.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00007-of-00015.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00015.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00015.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00015.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00015.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00015.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00015.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00008-of-00015.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00008-of-00015.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
242
+ "model.layers.32.input_layernorm.weight": "model-00008-of-00015.safetensors",
243
+ "model.layers.32.mlp.down_proj.weight": "model-00008-of-00015.safetensors",
244
+ "model.layers.32.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
245
+ "model.layers.32.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
246
+ "model.layers.32.post_attention_layernorm.weight": "model-00008-of-00015.safetensors",
247
+ "model.layers.32.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
248
+ "model.layers.32.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
249
+ "model.layers.32.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
250
+ "model.layers.32.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
251
+ "model.layers.33.input_layernorm.weight": "model-00009-of-00015.safetensors",
252
+ "model.layers.33.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
253
+ "model.layers.33.mlp.gate_proj.weight": "model-00008-of-00015.safetensors",
254
+ "model.layers.33.mlp.up_proj.weight": "model-00008-of-00015.safetensors",
255
+ "model.layers.33.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
256
+ "model.layers.33.self_attn.k_proj.weight": "model-00008-of-00015.safetensors",
257
+ "model.layers.33.self_attn.o_proj.weight": "model-00008-of-00015.safetensors",
258
+ "model.layers.33.self_attn.q_proj.weight": "model-00008-of-00015.safetensors",
259
+ "model.layers.33.self_attn.v_proj.weight": "model-00008-of-00015.safetensors",
260
+ "model.layers.34.input_layernorm.weight": "model-00009-of-00015.safetensors",
261
+ "model.layers.34.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
262
+ "model.layers.34.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
263
+ "model.layers.34.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
264
+ "model.layers.34.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
265
+ "model.layers.34.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
266
+ "model.layers.34.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
267
+ "model.layers.34.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
268
+ "model.layers.34.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
269
+ "model.layers.35.input_layernorm.weight": "model-00009-of-00015.safetensors",
270
+ "model.layers.35.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
271
+ "model.layers.35.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
272
+ "model.layers.35.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
273
+ "model.layers.35.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
274
+ "model.layers.35.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
275
+ "model.layers.35.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
276
+ "model.layers.35.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
277
+ "model.layers.35.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
278
+ "model.layers.36.input_layernorm.weight": "model-00009-of-00015.safetensors",
279
+ "model.layers.36.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
280
+ "model.layers.36.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
281
+ "model.layers.36.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
282
+ "model.layers.36.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
283
+ "model.layers.36.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
284
+ "model.layers.36.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
285
+ "model.layers.36.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
286
+ "model.layers.36.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
287
+ "model.layers.37.input_layernorm.weight": "model-00009-of-00015.safetensors",
288
+ "model.layers.37.mlp.down_proj.weight": "model-00009-of-00015.safetensors",
289
+ "model.layers.37.mlp.gate_proj.weight": "model-00009-of-00015.safetensors",
290
+ "model.layers.37.mlp.up_proj.weight": "model-00009-of-00015.safetensors",
291
+ "model.layers.37.post_attention_layernorm.weight": "model-00009-of-00015.safetensors",
292
+ "model.layers.37.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
293
+ "model.layers.37.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
294
+ "model.layers.37.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
295
+ "model.layers.37.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
296
+ "model.layers.38.input_layernorm.weight": "model-00010-of-00015.safetensors",
297
+ "model.layers.38.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
298
+ "model.layers.38.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
299
+ "model.layers.38.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
300
+ "model.layers.38.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
301
+ "model.layers.38.self_attn.k_proj.weight": "model-00009-of-00015.safetensors",
302
+ "model.layers.38.self_attn.o_proj.weight": "model-00009-of-00015.safetensors",
303
+ "model.layers.38.self_attn.q_proj.weight": "model-00009-of-00015.safetensors",
304
+ "model.layers.38.self_attn.v_proj.weight": "model-00009-of-00015.safetensors",
305
+ "model.layers.39.input_layernorm.weight": "model-00010-of-00015.safetensors",
306
+ "model.layers.39.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
307
+ "model.layers.39.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
308
+ "model.layers.39.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
309
+ "model.layers.39.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
310
+ "model.layers.39.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
311
+ "model.layers.39.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
312
+ "model.layers.39.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
313
+ "model.layers.39.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
314
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00015.safetensors",
315
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
316
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
317
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
318
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
319
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
320
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
321
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
322
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
323
+ "model.layers.40.input_layernorm.weight": "model-00010-of-00015.safetensors",
324
+ "model.layers.40.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
325
+ "model.layers.40.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
326
+ "model.layers.40.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
327
+ "model.layers.40.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
328
+ "model.layers.40.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
329
+ "model.layers.40.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
330
+ "model.layers.40.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
331
+ "model.layers.40.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
332
+ "model.layers.41.input_layernorm.weight": "model-00010-of-00015.safetensors",
333
+ "model.layers.41.mlp.down_proj.weight": "model-00010-of-00015.safetensors",
334
+ "model.layers.41.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
335
+ "model.layers.41.mlp.up_proj.weight": "model-00010-of-00015.safetensors",
336
+ "model.layers.41.post_attention_layernorm.weight": "model-00010-of-00015.safetensors",
337
+ "model.layers.41.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
338
+ "model.layers.41.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
339
+ "model.layers.41.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
340
+ "model.layers.41.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
341
+ "model.layers.42.input_layernorm.weight": "model-00011-of-00015.safetensors",
342
+ "model.layers.42.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
343
+ "model.layers.42.mlp.gate_proj.weight": "model-00010-of-00015.safetensors",
344
+ "model.layers.42.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
345
+ "model.layers.42.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
346
+ "model.layers.42.self_attn.k_proj.weight": "model-00010-of-00015.safetensors",
347
+ "model.layers.42.self_attn.o_proj.weight": "model-00010-of-00015.safetensors",
348
+ "model.layers.42.self_attn.q_proj.weight": "model-00010-of-00015.safetensors",
349
+ "model.layers.42.self_attn.v_proj.weight": "model-00010-of-00015.safetensors",
350
+ "model.layers.43.input_layernorm.weight": "model-00011-of-00015.safetensors",
351
+ "model.layers.43.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
352
+ "model.layers.43.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
353
+ "model.layers.43.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
354
+ "model.layers.43.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
355
+ "model.layers.43.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
356
+ "model.layers.43.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
357
+ "model.layers.43.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
358
+ "model.layers.43.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
359
+ "model.layers.44.input_layernorm.weight": "model-00011-of-00015.safetensors",
360
+ "model.layers.44.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
361
+ "model.layers.44.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
362
+ "model.layers.44.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
363
+ "model.layers.44.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
364
+ "model.layers.44.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
365
+ "model.layers.44.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
366
+ "model.layers.44.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
367
+ "model.layers.44.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
368
+ "model.layers.45.input_layernorm.weight": "model-00011-of-00015.safetensors",
369
+ "model.layers.45.mlp.down_proj.weight": "model-00011-of-00015.safetensors",
370
+ "model.layers.45.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
371
+ "model.layers.45.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
372
+ "model.layers.45.post_attention_layernorm.weight": "model-00011-of-00015.safetensors",
373
+ "model.layers.45.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
374
+ "model.layers.45.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
375
+ "model.layers.45.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
376
+ "model.layers.45.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
377
+ "model.layers.46.input_layernorm.weight": "model-00012-of-00015.safetensors",
378
+ "model.layers.46.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
379
+ "model.layers.46.mlp.gate_proj.weight": "model-00011-of-00015.safetensors",
380
+ "model.layers.46.mlp.up_proj.weight": "model-00011-of-00015.safetensors",
381
+ "model.layers.46.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
382
+ "model.layers.46.self_attn.k_proj.weight": "model-00011-of-00015.safetensors",
383
+ "model.layers.46.self_attn.o_proj.weight": "model-00011-of-00015.safetensors",
384
+ "model.layers.46.self_attn.q_proj.weight": "model-00011-of-00015.safetensors",
385
+ "model.layers.46.self_attn.v_proj.weight": "model-00011-of-00015.safetensors",
386
+ "model.layers.47.input_layernorm.weight": "model-00012-of-00015.safetensors",
387
+ "model.layers.47.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
388
+ "model.layers.47.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
389
+ "model.layers.47.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
390
+ "model.layers.47.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
391
+ "model.layers.47.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
392
+ "model.layers.47.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
393
+ "model.layers.47.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
394
+ "model.layers.47.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
395
+ "model.layers.48.input_layernorm.weight": "model-00012-of-00015.safetensors",
396
+ "model.layers.48.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
397
+ "model.layers.48.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
398
+ "model.layers.48.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
399
+ "model.layers.48.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
400
+ "model.layers.48.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
401
+ "model.layers.48.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
402
+ "model.layers.48.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
403
+ "model.layers.48.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
404
+ "model.layers.49.input_layernorm.weight": "model-00012-of-00015.safetensors",
405
+ "model.layers.49.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
406
+ "model.layers.49.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
407
+ "model.layers.49.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
408
+ "model.layers.49.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
409
+ "model.layers.49.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
410
+ "model.layers.49.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
411
+ "model.layers.49.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
412
+ "model.layers.49.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
413
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00015.safetensors",
414
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
415
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
416
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
417
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
418
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
419
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
420
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
421
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
422
+ "model.layers.50.input_layernorm.weight": "model-00012-of-00015.safetensors",
423
+ "model.layers.50.mlp.down_proj.weight": "model-00012-of-00015.safetensors",
424
+ "model.layers.50.mlp.gate_proj.weight": "model-00012-of-00015.safetensors",
425
+ "model.layers.50.mlp.up_proj.weight": "model-00012-of-00015.safetensors",
426
+ "model.layers.50.post_attention_layernorm.weight": "model-00012-of-00015.safetensors",
427
+ "model.layers.50.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
428
+ "model.layers.50.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
429
+ "model.layers.50.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
430
+ "model.layers.50.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
431
+ "model.layers.51.input_layernorm.weight": "model-00013-of-00015.safetensors",
432
+ "model.layers.51.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
433
+ "model.layers.51.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
434
+ "model.layers.51.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
435
+ "model.layers.51.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
436
+ "model.layers.51.self_attn.k_proj.weight": "model-00012-of-00015.safetensors",
437
+ "model.layers.51.self_attn.o_proj.weight": "model-00012-of-00015.safetensors",
438
+ "model.layers.51.self_attn.q_proj.weight": "model-00012-of-00015.safetensors",
439
+ "model.layers.51.self_attn.v_proj.weight": "model-00012-of-00015.safetensors",
440
+ "model.layers.52.input_layernorm.weight": "model-00013-of-00015.safetensors",
441
+ "model.layers.52.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
442
+ "model.layers.52.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
443
+ "model.layers.52.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
444
+ "model.layers.52.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
445
+ "model.layers.52.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
446
+ "model.layers.52.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
447
+ "model.layers.52.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
448
+ "model.layers.52.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
449
+ "model.layers.53.input_layernorm.weight": "model-00013-of-00015.safetensors",
450
+ "model.layers.53.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
451
+ "model.layers.53.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
452
+ "model.layers.53.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
453
+ "model.layers.53.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
454
+ "model.layers.53.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
455
+ "model.layers.53.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
456
+ "model.layers.53.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
457
+ "model.layers.53.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
458
+ "model.layers.54.input_layernorm.weight": "model-00013-of-00015.safetensors",
459
+ "model.layers.54.mlp.down_proj.weight": "model-00013-of-00015.safetensors",
460
+ "model.layers.54.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
461
+ "model.layers.54.mlp.up_proj.weight": "model-00013-of-00015.safetensors",
462
+ "model.layers.54.post_attention_layernorm.weight": "model-00013-of-00015.safetensors",
463
+ "model.layers.54.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
464
+ "model.layers.54.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
465
+ "model.layers.54.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
466
+ "model.layers.54.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
467
+ "model.layers.55.input_layernorm.weight": "model-00014-of-00015.safetensors",
468
+ "model.layers.55.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
469
+ "model.layers.55.mlp.gate_proj.weight": "model-00013-of-00015.safetensors",
470
+ "model.layers.55.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
471
+ "model.layers.55.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
472
+ "model.layers.55.self_attn.k_proj.weight": "model-00013-of-00015.safetensors",
473
+ "model.layers.55.self_attn.o_proj.weight": "model-00013-of-00015.safetensors",
474
+ "model.layers.55.self_attn.q_proj.weight": "model-00013-of-00015.safetensors",
475
+ "model.layers.55.self_attn.v_proj.weight": "model-00013-of-00015.safetensors",
476
+ "model.layers.56.input_layernorm.weight": "model-00014-of-00015.safetensors",
477
+ "model.layers.56.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
478
+ "model.layers.56.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
479
+ "model.layers.56.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
480
+ "model.layers.56.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
481
+ "model.layers.56.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
482
+ "model.layers.56.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
483
+ "model.layers.56.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
484
+ "model.layers.56.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
485
+ "model.layers.57.input_layernorm.weight": "model-00014-of-00015.safetensors",
486
+ "model.layers.57.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
487
+ "model.layers.57.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
488
+ "model.layers.57.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
489
+ "model.layers.57.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
490
+ "model.layers.57.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
491
+ "model.layers.57.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
492
+ "model.layers.57.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
493
+ "model.layers.57.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
494
+ "model.layers.58.input_layernorm.weight": "model-00014-of-00015.safetensors",
495
+ "model.layers.58.mlp.down_proj.weight": "model-00014-of-00015.safetensors",
496
+ "model.layers.58.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
497
+ "model.layers.58.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
498
+ "model.layers.58.post_attention_layernorm.weight": "model-00014-of-00015.safetensors",
499
+ "model.layers.58.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
500
+ "model.layers.58.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
501
+ "model.layers.58.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
502
+ "model.layers.58.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
503
+ "model.layers.59.input_layernorm.weight": "model-00015-of-00015.safetensors",
504
+ "model.layers.59.mlp.down_proj.weight": "model-00015-of-00015.safetensors",
505
+ "model.layers.59.mlp.gate_proj.weight": "model-00014-of-00015.safetensors",
506
+ "model.layers.59.mlp.up_proj.weight": "model-00014-of-00015.safetensors",
507
+ "model.layers.59.post_attention_layernorm.weight": "model-00015-of-00015.safetensors",
508
+ "model.layers.59.self_attn.k_proj.weight": "model-00014-of-00015.safetensors",
509
+ "model.layers.59.self_attn.o_proj.weight": "model-00014-of-00015.safetensors",
510
+ "model.layers.59.self_attn.q_proj.weight": "model-00014-of-00015.safetensors",
511
+ "model.layers.59.self_attn.v_proj.weight": "model-00014-of-00015.safetensors",
512
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00015.safetensors",
513
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00015.safetensors",
514
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
515
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
516
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00015.safetensors",
517
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
518
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
519
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
520
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
521
+ "model.layers.7.input_layernorm.weight": "model-00003-of-00015.safetensors",
522
+ "model.layers.7.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
523
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00015.safetensors",
524
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00015.safetensors",
525
+ "model.layers.7.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
526
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00015.safetensors",
527
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00015.safetensors",
528
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00015.safetensors",
529
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00015.safetensors",
530
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00015.safetensors",
531
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
532
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
533
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
534
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
535
+ "model.layers.8.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
536
+ "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
537
+ "model.layers.8.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
538
+ "model.layers.8.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
539
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00015.safetensors",
540
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00015.safetensors",
541
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00015.safetensors",
542
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00015.safetensors",
543
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00015.safetensors",
544
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00015.safetensors",
545
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00015.safetensors",
546
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00015.safetensors",
547
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00015.safetensors",
548
+ "model.norm.weight": "model-00015-of-00015.safetensors"
549
+ }
550
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|startoftext|>",
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": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
3
+ size 1033105
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<|startoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<|endoftext|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "bos_token": "<|startoftext|>",
31
+ "clean_up_tokenization_spaces": false,
32
+ "eos_token": "<|endoftext|>",
33
+ "legacy": true,
34
+ "model_max_length": 4096,
35
+ "pad_token": "<unk>",
36
+ "padding_side": "right",
37
+ "sp_model_kwargs": {},
38
+ "spaces_between_special_tokens": false,
39
+ "split_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
trainer_state.json ADDED
@@ -0,0 +1,1253 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.275154413229727,
5
+ "eval_steps": 50,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 5e-06,
14
+ "loss": 0.8842,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 1e-05,
20
+ "loss": 0.9108,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.02,
25
+ "learning_rate": 1.5000000000000002e-05,
26
+ "loss": 0.8097,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.03,
31
+ "learning_rate": 2e-05,
32
+ "loss": 0.8007,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.03,
37
+ "learning_rate": 1.9999479806942976e-05,
38
+ "loss": 0.8092,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.04,
43
+ "learning_rate": 1.9997919281892066e-05,
44
+ "loss": 0.7677,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.04,
49
+ "learning_rate": 1.9995318587202132e-05,
50
+ "loss": 0.7347,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.05,
55
+ "learning_rate": 1.9991677993445832e-05,
56
+ "loss": 0.7468,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.06,
61
+ "learning_rate": 1.9986997879385488e-05,
62
+ "loss": 0.7442,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.06,
67
+ "learning_rate": 1.998127873193367e-05,
68
+ "loss": 0.7988,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.07,
73
+ "learning_rate": 1.9974521146102535e-05,
74
+ "loss": 0.8289,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.08,
79
+ "learning_rate": 1.9966725824941933e-05,
80
+ "loss": 0.8913,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.08,
85
+ "learning_rate": 1.9957893579466252e-05,
86
+ "loss": 0.9097,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.09,
91
+ "learning_rate": 1.994802532857004e-05,
92
+ "loss": 0.8147,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.1,
97
+ "learning_rate": 1.9937122098932428e-05,
98
+ "loss": 0.7253,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.1,
103
+ "learning_rate": 1.992518502491028e-05,
104
+ "loss": 0.7241,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.11,
109
+ "learning_rate": 1.99122153484202e-05,
110
+ "loss": 0.711,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.11,
115
+ "learning_rate": 1.989821441880933e-05,
116
+ "loss": 0.7079,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.12,
121
+ "learning_rate": 1.9883183692714935e-05,
122
+ "loss": 0.7709,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.13,
127
+ "learning_rate": 1.986712473391289e-05,
128
+ "loss": 0.7019,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.13,
133
+ "learning_rate": 1.9850039213154972e-05,
134
+ "loss": 0.7152,
135
+ "step": 21
136
+ },
137
+ {
138
+ "epoch": 0.14,
139
+ "learning_rate": 1.9831928907995032e-05,
140
+ "loss": 0.6952,
141
+ "step": 22
142
+ },
143
+ {
144
+ "epoch": 0.15,
145
+ "learning_rate": 1.9812795702604073e-05,
146
+ "loss": 0.7087,
147
+ "step": 23
148
+ },
149
+ {
150
+ "epoch": 0.15,
151
+ "learning_rate": 1.9792641587574212e-05,
152
+ "loss": 0.7014,
153
+ "step": 24
154
+ },
155
+ {
156
+ "epoch": 0.16,
157
+ "learning_rate": 1.9771468659711595e-05,
158
+ "loss": 0.6856,
159
+ "step": 25
160
+ },
161
+ {
162
+ "epoch": 0.17,
163
+ "learning_rate": 1.9749279121818235e-05,
164
+ "loss": 0.6408,
165
+ "step": 26
166
+ },
167
+ {
168
+ "epoch": 0.17,
169
+ "learning_rate": 1.9726075282462847e-05,
170
+ "loss": 0.6791,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.18,
175
+ "learning_rate": 1.9701859555740647e-05,
176
+ "loss": 0.6508,
177
+ "step": 28
178
+ },
179
+ {
180
+ "epoch": 0.18,
181
+ "learning_rate": 1.9676634461022222e-05,
182
+ "loss": 0.6494,
183
+ "step": 29
184
+ },
185
+ {
186
+ "epoch": 0.19,
187
+ "learning_rate": 1.96504026226914e-05,
188
+ "loss": 0.6653,
189
+ "step": 30
190
+ },
191
+ {
192
+ "epoch": 0.2,
193
+ "learning_rate": 1.9623166769872216e-05,
194
+ "loss": 0.6605,
195
+ "step": 31
196
+ },
197
+ {
198
+ "epoch": 0.2,
199
+ "learning_rate": 1.9594929736144978e-05,
200
+ "loss": 0.6368,
201
+ "step": 32
202
+ },
203
+ {
204
+ "epoch": 0.21,
205
+ "learning_rate": 1.9565694459251457e-05,
206
+ "loss": 0.652,
207
+ "step": 33
208
+ },
209
+ {
210
+ "epoch": 0.22,
211
+ "learning_rate": 1.9535463980789277e-05,
212
+ "loss": 0.6275,
213
+ "step": 34
214
+ },
215
+ {
216
+ "epoch": 0.22,
217
+ "learning_rate": 1.9504241445895434e-05,
218
+ "loss": 0.6504,
219
+ "step": 35
220
+ },
221
+ {
222
+ "epoch": 0.23,
223
+ "learning_rate": 1.9472030102919102e-05,
224
+ "loss": 0.6485,
225
+ "step": 36
226
+ },
227
+ {
228
+ "epoch": 0.24,
229
+ "learning_rate": 1.9438833303083677e-05,
230
+ "loss": 0.6612,
231
+ "step": 37
232
+ },
233
+ {
234
+ "epoch": 0.24,
235
+ "learning_rate": 1.9404654500138117e-05,
236
+ "loss": 0.6432,
237
+ "step": 38
238
+ },
239
+ {
240
+ "epoch": 0.25,
241
+ "learning_rate": 1.936949724999762e-05,
242
+ "loss": 0.6332,
243
+ "step": 39
244
+ },
245
+ {
246
+ "epoch": 0.26,
247
+ "learning_rate": 1.9333365210373668e-05,
248
+ "loss": 0.6515,
249
+ "step": 40
250
+ },
251
+ {
252
+ "epoch": 0.26,
253
+ "learning_rate": 1.9296262140393498e-05,
254
+ "loss": 0.6343,
255
+ "step": 41
256
+ },
257
+ {
258
+ "epoch": 0.27,
259
+ "learning_rate": 1.925819190020898e-05,
260
+ "loss": 0.6252,
261
+ "step": 42
262
+ },
263
+ {
264
+ "epoch": 0.27,
265
+ "learning_rate": 1.921915845059505e-05,
266
+ "loss": 0.6393,
267
+ "step": 43
268
+ },
269
+ {
270
+ "epoch": 0.28,
271
+ "learning_rate": 1.9179165852537596e-05,
272
+ "loss": 0.6278,
273
+ "step": 44
274
+ },
275
+ {
276
+ "epoch": 0.29,
277
+ "learning_rate": 1.913821826681099e-05,
278
+ "loss": 0.634,
279
+ "step": 45
280
+ },
281
+ {
282
+ "epoch": 0.29,
283
+ "learning_rate": 1.9096319953545186e-05,
284
+ "loss": 0.6231,
285
+ "step": 46
286
+ },
287
+ {
288
+ "epoch": 0.3,
289
+ "learning_rate": 1.9053475271782523e-05,
290
+ "loss": 0.6128,
291
+ "step": 47
292
+ },
293
+ {
294
+ "epoch": 0.31,
295
+ "learning_rate": 1.900968867902419e-05,
296
+ "loss": 0.6482,
297
+ "step": 48
298
+ },
299
+ {
300
+ "epoch": 0.31,
301
+ "learning_rate": 1.896496473076651e-05,
302
+ "loss": 0.6099,
303
+ "step": 49
304
+ },
305
+ {
306
+ "epoch": 0.32,
307
+ "learning_rate": 1.891930808002694e-05,
308
+ "loss": 0.6066,
309
+ "step": 50
310
+ },
311
+ {
312
+ "epoch": 0.32,
313
+ "eval_loss": 0.6270840167999268,
314
+ "eval_runtime": 44.9662,
315
+ "eval_samples_per_second": 18.058,
316
+ "eval_steps_per_second": 0.578,
317
+ "step": 50
318
+ },
319
+ {
320
+ "epoch": 0.33,
321
+ "learning_rate": 1.8872723476860033e-05,
322
+ "loss": 0.6427,
323
+ "step": 51
324
+ },
325
+ {
326
+ "epoch": 0.33,
327
+ "learning_rate": 1.8825215767863215e-05,
328
+ "loss": 0.6114,
329
+ "step": 52
330
+ },
331
+ {
332
+ "epoch": 0.34,
333
+ "learning_rate": 1.8776789895672557e-05,
334
+ "loss": 0.6422,
335
+ "step": 53
336
+ },
337
+ {
338
+ "epoch": 0.34,
339
+ "learning_rate": 1.8727450898448562e-05,
340
+ "loss": 0.6153,
341
+ "step": 54
342
+ },
343
+ {
344
+ "epoch": 0.35,
345
+ "learning_rate": 1.867720390935199e-05,
346
+ "loss": 0.6057,
347
+ "step": 55
348
+ },
349
+ {
350
+ "epoch": 0.36,
351
+ "learning_rate": 1.8626054156009807e-05,
352
+ "loss": 0.6384,
353
+ "step": 56
354
+ },
355
+ {
356
+ "epoch": 0.36,
357
+ "learning_rate": 1.8574006959971335e-05,
358
+ "loss": 0.6092,
359
+ "step": 57
360
+ },
361
+ {
362
+ "epoch": 0.37,
363
+ "learning_rate": 1.8521067736154567e-05,
364
+ "loss": 0.5852,
365
+ "step": 58
366
+ },
367
+ {
368
+ "epoch": 0.38,
369
+ "learning_rate": 1.8467241992282842e-05,
370
+ "loss": 0.587,
371
+ "step": 59
372
+ },
373
+ {
374
+ "epoch": 0.38,
375
+ "learning_rate": 1.8412535328311813e-05,
376
+ "loss": 0.595,
377
+ "step": 60
378
+ },
379
+ {
380
+ "epoch": 0.39,
381
+ "learning_rate": 1.835695343584683e-05,
382
+ "loss": 0.5945,
383
+ "step": 61
384
+ },
385
+ {
386
+ "epoch": 0.4,
387
+ "learning_rate": 1.8300502097550807e-05,
388
+ "loss": 0.5804,
389
+ "step": 62
390
+ },
391
+ {
392
+ "epoch": 0.4,
393
+ "learning_rate": 1.8243187186542594e-05,
394
+ "loss": 0.6172,
395
+ "step": 63
396
+ },
397
+ {
398
+ "epoch": 0.41,
399
+ "learning_rate": 1.8185014665785936e-05,
400
+ "loss": 0.6006,
401
+ "step": 64
402
+ },
403
+ {
404
+ "epoch": 0.41,
405
+ "learning_rate": 1.8125990587469125e-05,
406
+ "loss": 0.6111,
407
+ "step": 65
408
+ },
409
+ {
410
+ "epoch": 0.42,
411
+ "learning_rate": 1.8066121092375303e-05,
412
+ "loss": 0.5765,
413
+ "step": 66
414
+ },
415
+ {
416
+ "epoch": 0.43,
417
+ "learning_rate": 1.8005412409243604e-05,
418
+ "loss": 0.5885,
419
+ "step": 67
420
+ },
421
+ {
422
+ "epoch": 0.43,
423
+ "learning_rate": 1.7943870854121126e-05,
424
+ "loss": 0.5915,
425
+ "step": 68
426
+ },
427
+ {
428
+ "epoch": 0.44,
429
+ "learning_rate": 1.7881502829705808e-05,
430
+ "loss": 0.6137,
431
+ "step": 69
432
+ },
433
+ {
434
+ "epoch": 0.45,
435
+ "learning_rate": 1.78183148246803e-05,
436
+ "loss": 0.5995,
437
+ "step": 70
438
+ },
439
+ {
440
+ "epoch": 0.45,
441
+ "learning_rate": 1.7754313413036907e-05,
442
+ "loss": 0.5913,
443
+ "step": 71
444
+ },
445
+ {
446
+ "epoch": 0.46,
447
+ "learning_rate": 1.768950525339362e-05,
448
+ "loss": 0.5825,
449
+ "step": 72
450
+ },
451
+ {
452
+ "epoch": 0.47,
453
+ "learning_rate": 1.7623897088301387e-05,
454
+ "loss": 0.5772,
455
+ "step": 73
456
+ },
457
+ {
458
+ "epoch": 0.47,
459
+ "learning_rate": 1.7557495743542586e-05,
460
+ "loss": 0.5858,
461
+ "step": 74
462
+ },
463
+ {
464
+ "epoch": 0.48,
465
+ "learning_rate": 1.7490308127420928e-05,
466
+ "loss": 0.578,
467
+ "step": 75
468
+ },
469
+ {
470
+ "epoch": 0.48,
471
+ "learning_rate": 1.74223412300427e-05,
472
+ "loss": 0.5934,
473
+ "step": 76
474
+ },
475
+ {
476
+ "epoch": 0.49,
477
+ "learning_rate": 1.7353602122589528e-05,
478
+ "loss": 0.5851,
479
+ "step": 77
480
+ },
481
+ {
482
+ "epoch": 0.5,
483
+ "learning_rate": 1.7284097956582694e-05,
484
+ "loss": 0.5872,
485
+ "step": 78
486
+ },
487
+ {
488
+ "epoch": 0.5,
489
+ "learning_rate": 1.721383596313912e-05,
490
+ "loss": 0.5897,
491
+ "step": 79
492
+ },
493
+ {
494
+ "epoch": 0.51,
495
+ "learning_rate": 1.7142823452219036e-05,
496
+ "loss": 0.59,
497
+ "step": 80
498
+ },
499
+ {
500
+ "epoch": 0.52,
501
+ "learning_rate": 1.7071067811865477e-05,
502
+ "loss": 0.589,
503
+ "step": 81
504
+ },
505
+ {
506
+ "epoch": 0.52,
507
+ "learning_rate": 1.699857650743562e-05,
508
+ "loss": 0.5931,
509
+ "step": 82
510
+ },
511
+ {
512
+ "epoch": 0.53,
513
+ "learning_rate": 1.692535708082412e-05,
514
+ "loss": 0.5665,
515
+ "step": 83
516
+ },
517
+ {
518
+ "epoch": 0.54,
519
+ "learning_rate": 1.6851417149678442e-05,
520
+ "loss": 0.5843,
521
+ "step": 84
522
+ },
523
+ {
524
+ "epoch": 0.54,
525
+ "learning_rate": 1.6776764406606362e-05,
526
+ "loss": 0.5932,
527
+ "step": 85
528
+ },
529
+ {
530
+ "epoch": 0.55,
531
+ "learning_rate": 1.67014066183756e-05,
532
+ "loss": 0.5775,
533
+ "step": 86
534
+ },
535
+ {
536
+ "epoch": 0.55,
537
+ "learning_rate": 1.6625351625105796e-05,
538
+ "loss": 0.5806,
539
+ "step": 87
540
+ },
541
+ {
542
+ "epoch": 0.56,
543
+ "learning_rate": 1.6548607339452853e-05,
544
+ "loss": 0.5668,
545
+ "step": 88
546
+ },
547
+ {
548
+ "epoch": 0.57,
549
+ "learning_rate": 1.6471181745785673e-05,
550
+ "loss": 0.5972,
551
+ "step": 89
552
+ },
553
+ {
554
+ "epoch": 0.57,
555
+ "learning_rate": 1.6393082899355516e-05,
556
+ "loss": 0.6005,
557
+ "step": 90
558
+ },
559
+ {
560
+ "epoch": 0.58,
561
+ "learning_rate": 1.631431892545791e-05,
562
+ "loss": 0.5908,
563
+ "step": 91
564
+ },
565
+ {
566
+ "epoch": 0.59,
567
+ "learning_rate": 1.6234898018587336e-05,
568
+ "loss": 0.5833,
569
+ "step": 92
570
+ },
571
+ {
572
+ "epoch": 0.59,
573
+ "learning_rate": 1.6154828441584655e-05,
574
+ "loss": 0.5836,
575
+ "step": 93
576
+ },
577
+ {
578
+ "epoch": 0.6,
579
+ "learning_rate": 1.607411852477748e-05,
580
+ "loss": 0.5657,
581
+ "step": 94
582
+ },
583
+ {
584
+ "epoch": 0.61,
585
+ "learning_rate": 1.599277666511347e-05,
586
+ "loss": 0.5763,
587
+ "step": 95
588
+ },
589
+ {
590
+ "epoch": 0.61,
591
+ "learning_rate": 1.5910811325286768e-05,
592
+ "loss": 0.5964,
593
+ "step": 96
594
+ },
595
+ {
596
+ "epoch": 0.62,
597
+ "learning_rate": 1.5828231032857503e-05,
598
+ "loss": 0.6056,
599
+ "step": 97
600
+ },
601
+ {
602
+ "epoch": 0.62,
603
+ "learning_rate": 1.5745044379364637e-05,
604
+ "loss": 0.5794,
605
+ "step": 98
606
+ },
607
+ {
608
+ "epoch": 0.63,
609
+ "learning_rate": 1.5661260019432077e-05,
610
+ "loss": 0.5797,
611
+ "step": 99
612
+ },
613
+ {
614
+ "epoch": 0.64,
615
+ "learning_rate": 1.5576886669868297e-05,
616
+ "loss": 0.5828,
617
+ "step": 100
618
+ },
619
+ {
620
+ "epoch": 0.64,
621
+ "eval_loss": 0.5864700078964233,
622
+ "eval_runtime": 45.0205,
623
+ "eval_samples_per_second": 18.036,
624
+ "eval_steps_per_second": 0.578,
625
+ "step": 100
626
+ },
627
+ {
628
+ "epoch": 0.64,
629
+ "learning_rate": 1.5491933108759417e-05,
630
+ "loss": 0.5829,
631
+ "step": 101
632
+ },
633
+ {
634
+ "epoch": 0.65,
635
+ "learning_rate": 1.5406408174555978e-05,
636
+ "loss": 0.5705,
637
+ "step": 102
638
+ },
639
+ {
640
+ "epoch": 0.66,
641
+ "learning_rate": 1.5320320765153367e-05,
642
+ "loss": 0.5713,
643
+ "step": 103
644
+ },
645
+ {
646
+ "epoch": 0.66,
647
+ "learning_rate": 1.5233679836966122e-05,
648
+ "loss": 0.5684,
649
+ "step": 104
650
+ },
651
+ {
652
+ "epoch": 0.67,
653
+ "learning_rate": 1.5146494403996101e-05,
654
+ "loss": 0.5883,
655
+ "step": 105
656
+ },
657
+ {
658
+ "epoch": 0.68,
659
+ "learning_rate": 1.5058773536894685e-05,
660
+ "loss": 0.5756,
661
+ "step": 106
662
+ },
663
+ {
664
+ "epoch": 0.68,
665
+ "learning_rate": 1.4970526362019077e-05,
666
+ "loss": 0.5846,
667
+ "step": 107
668
+ },
669
+ {
670
+ "epoch": 0.69,
671
+ "learning_rate": 1.4881762060482814e-05,
672
+ "loss": 0.5779,
673
+ "step": 108
674
+ },
675
+ {
676
+ "epoch": 0.69,
677
+ "learning_rate": 1.479248986720057e-05,
678
+ "loss": 0.5933,
679
+ "step": 109
680
+ },
681
+ {
682
+ "epoch": 0.7,
683
+ "learning_rate": 1.4702719069927368e-05,
684
+ "loss": 0.5606,
685
+ "step": 110
686
+ },
687
+ {
688
+ "epoch": 0.71,
689
+ "learning_rate": 1.4612459008292307e-05,
690
+ "loss": 0.5698,
691
+ "step": 111
692
+ },
693
+ {
694
+ "epoch": 0.71,
695
+ "learning_rate": 1.4521719072826858e-05,
696
+ "loss": 0.561,
697
+ "step": 112
698
+ },
699
+ {
700
+ "epoch": 0.72,
701
+ "learning_rate": 1.4430508703987914e-05,
702
+ "loss": 0.576,
703
+ "step": 113
704
+ },
705
+ {
706
+ "epoch": 0.73,
707
+ "learning_rate": 1.4338837391175582e-05,
708
+ "loss": 0.5893,
709
+ "step": 114
710
+ },
711
+ {
712
+ "epoch": 0.73,
713
+ "learning_rate": 1.4246714671745964e-05,
714
+ "loss": 0.5689,
715
+ "step": 115
716
+ },
717
+ {
718
+ "epoch": 0.74,
719
+ "learning_rate": 1.4154150130018867e-05,
720
+ "loss": 0.5804,
721
+ "step": 116
722
+ },
723
+ {
724
+ "epoch": 0.75,
725
+ "learning_rate": 1.4061153396280673e-05,
726
+ "loss": 0.5777,
727
+ "step": 117
728
+ },
729
+ {
730
+ "epoch": 0.75,
731
+ "learning_rate": 1.3967734145782425e-05,
732
+ "loss": 0.5638,
733
+ "step": 118
734
+ },
735
+ {
736
+ "epoch": 0.76,
737
+ "learning_rate": 1.3873902097733231e-05,
738
+ "loss": 0.5921,
739
+ "step": 119
740
+ },
741
+ {
742
+ "epoch": 0.77,
743
+ "learning_rate": 1.3779667014289067e-05,
744
+ "loss": 0.5458,
745
+ "step": 120
746
+ },
747
+ {
748
+ "epoch": 0.77,
749
+ "learning_rate": 1.3685038699537165e-05,
750
+ "loss": 0.5788,
751
+ "step": 121
752
+ },
753
+ {
754
+ "epoch": 0.78,
755
+ "learning_rate": 1.3590026998475987e-05,
756
+ "loss": 0.5759,
757
+ "step": 122
758
+ },
759
+ {
760
+ "epoch": 0.78,
761
+ "learning_rate": 1.3494641795990986e-05,
762
+ "loss": 0.5666,
763
+ "step": 123
764
+ },
765
+ {
766
+ "epoch": 0.79,
767
+ "learning_rate": 1.3398893015826166e-05,
768
+ "loss": 0.5921,
769
+ "step": 124
770
+ },
771
+ {
772
+ "epoch": 0.8,
773
+ "learning_rate": 1.3302790619551673e-05,
774
+ "loss": 0.5761,
775
+ "step": 125
776
+ },
777
+ {
778
+ "epoch": 0.8,
779
+ "learning_rate": 1.3206344605527355e-05,
780
+ "loss": 0.5847,
781
+ "step": 126
782
+ },
783
+ {
784
+ "epoch": 0.81,
785
+ "learning_rate": 1.3109565007862597e-05,
786
+ "loss": 0.5782,
787
+ "step": 127
788
+ },
789
+ {
790
+ "epoch": 0.82,
791
+ "learning_rate": 1.3012461895372343e-05,
792
+ "loss": 0.568,
793
+ "step": 128
794
+ },
795
+ {
796
+ "epoch": 0.82,
797
+ "learning_rate": 1.2915045370529586e-05,
798
+ "loss": 0.5639,
799
+ "step": 129
800
+ },
801
+ {
802
+ "epoch": 0.83,
803
+ "learning_rate": 1.2817325568414299e-05,
804
+ "loss": 0.5718,
805
+ "step": 130
806
+ },
807
+ {
808
+ "epoch": 0.84,
809
+ "learning_rate": 1.2719312655658995e-05,
810
+ "loss": 0.5873,
811
+ "step": 131
812
+ },
813
+ {
814
+ "epoch": 0.84,
815
+ "learning_rate": 1.2621016829391022e-05,
816
+ "loss": 0.5804,
817
+ "step": 132
818
+ },
819
+ {
820
+ "epoch": 0.85,
821
+ "learning_rate": 1.2522448316171651e-05,
822
+ "loss": 0.5644,
823
+ "step": 133
824
+ },
825
+ {
826
+ "epoch": 0.85,
827
+ "learning_rate": 1.2423617370932127e-05,
828
+ "loss": 0.5799,
829
+ "step": 134
830
+ },
831
+ {
832
+ "epoch": 0.86,
833
+ "learning_rate": 1.2324534275906747e-05,
834
+ "loss": 0.5835,
835
+ "step": 135
836
+ },
837
+ {
838
+ "epoch": 0.87,
839
+ "learning_rate": 1.2225209339563144e-05,
840
+ "loss": 0.562,
841
+ "step": 136
842
+ },
843
+ {
844
+ "epoch": 0.87,
845
+ "learning_rate": 1.2125652895529766e-05,
846
+ "loss": 0.5591,
847
+ "step": 137
848
+ },
849
+ {
850
+ "epoch": 0.88,
851
+ "learning_rate": 1.2025875301520811e-05,
852
+ "loss": 0.5718,
853
+ "step": 138
854
+ },
855
+ {
856
+ "epoch": 0.89,
857
+ "learning_rate": 1.1925886938258606e-05,
858
+ "loss": 0.5626,
859
+ "step": 139
860
+ },
861
+ {
862
+ "epoch": 0.89,
863
+ "learning_rate": 1.182569820839362e-05,
864
+ "loss": 0.5614,
865
+ "step": 140
866
+ },
867
+ {
868
+ "epoch": 0.9,
869
+ "learning_rate": 1.1725319535422189e-05,
870
+ "loss": 0.5363,
871
+ "step": 141
872
+ },
873
+ {
874
+ "epoch": 0.91,
875
+ "learning_rate": 1.1624761362602061e-05,
876
+ "loss": 0.5751,
877
+ "step": 142
878
+ },
879
+ {
880
+ "epoch": 0.91,
881
+ "learning_rate": 1.1524034151865904e-05,
882
+ "loss": 0.5614,
883
+ "step": 143
884
+ },
885
+ {
886
+ "epoch": 0.92,
887
+ "learning_rate": 1.1423148382732854e-05,
888
+ "loss": 0.5644,
889
+ "step": 144
890
+ },
891
+ {
892
+ "epoch": 0.92,
893
+ "learning_rate": 1.132211455121824e-05,
894
+ "loss": 0.5647,
895
+ "step": 145
896
+ },
897
+ {
898
+ "epoch": 0.93,
899
+ "learning_rate": 1.12209431687416e-05,
900
+ "loss": 0.5876,
901
+ "step": 146
902
+ },
903
+ {
904
+ "epoch": 0.94,
905
+ "learning_rate": 1.1119644761033079e-05,
906
+ "loss": 0.5621,
907
+ "step": 147
908
+ },
909
+ {
910
+ "epoch": 0.94,
911
+ "learning_rate": 1.1018229867038358e-05,
912
+ "loss": 0.5907,
913
+ "step": 148
914
+ },
915
+ {
916
+ "epoch": 0.95,
917
+ "learning_rate": 1.0916709037822172e-05,
918
+ "loss": 0.5468,
919
+ "step": 149
920
+ },
921
+ {
922
+ "epoch": 0.96,
923
+ "learning_rate": 1.0815092835470633e-05,
924
+ "loss": 0.5647,
925
+ "step": 150
926
+ },
927
+ {
928
+ "epoch": 0.96,
929
+ "eval_loss": 0.5674496293067932,
930
+ "eval_runtime": 44.5413,
931
+ "eval_samples_per_second": 18.23,
932
+ "eval_steps_per_second": 0.584,
933
+ "step": 150
934
+ },
935
+ {
936
+ "epoch": 0.96,
937
+ "learning_rate": 1.0713391831992324e-05,
938
+ "loss": 0.5799,
939
+ "step": 151
940
+ },
941
+ {
942
+ "epoch": 0.97,
943
+ "learning_rate": 1.0611616608218429e-05,
944
+ "loss": 0.5625,
945
+ "step": 152
946
+ },
947
+ {
948
+ "epoch": 0.98,
949
+ "learning_rate": 1.05097777527019e-05,
950
+ "loss": 0.5695,
951
+ "step": 153
952
+ },
953
+ {
954
+ "epoch": 0.98,
955
+ "learning_rate": 1.0407885860615859e-05,
956
+ "loss": 0.5738,
957
+ "step": 154
958
+ },
959
+ {
960
+ "epoch": 0.99,
961
+ "learning_rate": 1.0305951532651262e-05,
962
+ "loss": 0.5536,
963
+ "step": 155
964
+ },
965
+ {
966
+ "epoch": 0.99,
967
+ "learning_rate": 1.0203985373914056e-05,
968
+ "loss": 0.5597,
969
+ "step": 156
970
+ },
971
+ {
972
+ "epoch": 1.0,
973
+ "learning_rate": 1.0101997992821798e-05,
974
+ "loss": 0.5348,
975
+ "step": 157
976
+ },
977
+ {
978
+ "epoch": 1.01,
979
+ "learning_rate": 1e-05,
980
+ "loss": 0.3475,
981
+ "step": 158
982
+ },
983
+ {
984
+ "epoch": 1.01,
985
+ "learning_rate": 9.898002007178204e-06,
986
+ "loss": 0.3412,
987
+ "step": 159
988
+ },
989
+ {
990
+ "epoch": 1.02,
991
+ "learning_rate": 9.79601462608595e-06,
992
+ "loss": 0.3208,
993
+ "step": 160
994
+ },
995
+ {
996
+ "epoch": 1.03,
997
+ "learning_rate": 9.69404846734874e-06,
998
+ "loss": 0.3348,
999
+ "step": 161
1000
+ },
1001
+ {
1002
+ "epoch": 1.03,
1003
+ "learning_rate": 9.592114139384146e-06,
1004
+ "loss": 0.3419,
1005
+ "step": 162
1006
+ },
1007
+ {
1008
+ "epoch": 1.04,
1009
+ "learning_rate": 9.4902222472981e-06,
1010
+ "loss": 0.3411,
1011
+ "step": 163
1012
+ },
1013
+ {
1014
+ "epoch": 1.05,
1015
+ "learning_rate": 9.388383391781576e-06,
1016
+ "loss": 0.3265,
1017
+ "step": 164
1018
+ },
1019
+ {
1020
+ "epoch": 1.05,
1021
+ "learning_rate": 9.286608168007678e-06,
1022
+ "loss": 0.3317,
1023
+ "step": 165
1024
+ },
1025
+ {
1026
+ "epoch": 1.06,
1027
+ "learning_rate": 9.184907164529369e-06,
1028
+ "loss": 0.3492,
1029
+ "step": 166
1030
+ },
1031
+ {
1032
+ "epoch": 1.06,
1033
+ "learning_rate": 9.083290962177828e-06,
1034
+ "loss": 0.3401,
1035
+ "step": 167
1036
+ },
1037
+ {
1038
+ "epoch": 1.07,
1039
+ "learning_rate": 8.981770132961649e-06,
1040
+ "loss": 0.3334,
1041
+ "step": 168
1042
+ },
1043
+ {
1044
+ "epoch": 1.08,
1045
+ "learning_rate": 8.880355238966923e-06,
1046
+ "loss": 0.3134,
1047
+ "step": 169
1048
+ },
1049
+ {
1050
+ "epoch": 1.08,
1051
+ "learning_rate": 8.779056831258402e-06,
1052
+ "loss": 0.3087,
1053
+ "step": 170
1054
+ },
1055
+ {
1056
+ "epoch": 1.09,
1057
+ "learning_rate": 8.67788544878176e-06,
1058
+ "loss": 0.3144,
1059
+ "step": 171
1060
+ },
1061
+ {
1062
+ "epoch": 1.1,
1063
+ "learning_rate": 8.576851617267151e-06,
1064
+ "loss": 0.3234,
1065
+ "step": 172
1066
+ },
1067
+ {
1068
+ "epoch": 1.1,
1069
+ "learning_rate": 8.4759658481341e-06,
1070
+ "loss": 0.3105,
1071
+ "step": 173
1072
+ },
1073
+ {
1074
+ "epoch": 1.11,
1075
+ "learning_rate": 8.375238637397942e-06,
1076
+ "loss": 0.319,
1077
+ "step": 174
1078
+ },
1079
+ {
1080
+ "epoch": 1.12,
1081
+ "learning_rate": 8.274680464577816e-06,
1082
+ "loss": 0.3343,
1083
+ "step": 175
1084
+ },
1085
+ {
1086
+ "epoch": 1.12,
1087
+ "learning_rate": 8.174301791606384e-06,
1088
+ "loss": 0.3218,
1089
+ "step": 176
1090
+ },
1091
+ {
1092
+ "epoch": 1.13,
1093
+ "learning_rate": 8.074113061741397e-06,
1094
+ "loss": 0.3247,
1095
+ "step": 177
1096
+ },
1097
+ {
1098
+ "epoch": 1.13,
1099
+ "learning_rate": 7.974124698479192e-06,
1100
+ "loss": 0.3257,
1101
+ "step": 178
1102
+ },
1103
+ {
1104
+ "epoch": 1.14,
1105
+ "learning_rate": 7.874347104470234e-06,
1106
+ "loss": 0.3161,
1107
+ "step": 179
1108
+ },
1109
+ {
1110
+ "epoch": 1.15,
1111
+ "learning_rate": 7.774790660436857e-06,
1112
+ "loss": 0.3161,
1113
+ "step": 180
1114
+ },
1115
+ {
1116
+ "epoch": 1.15,
1117
+ "learning_rate": 7.675465724093254e-06,
1118
+ "loss": 0.315,
1119
+ "step": 181
1120
+ },
1121
+ {
1122
+ "epoch": 1.16,
1123
+ "learning_rate": 7.576382629067877e-06,
1124
+ "loss": 0.3069,
1125
+ "step": 182
1126
+ },
1127
+ {
1128
+ "epoch": 1.17,
1129
+ "learning_rate": 7.47755168382835e-06,
1130
+ "loss": 0.2958,
1131
+ "step": 183
1132
+ },
1133
+ {
1134
+ "epoch": 1.17,
1135
+ "learning_rate": 7.378983170608982e-06,
1136
+ "loss": 0.3021,
1137
+ "step": 184
1138
+ },
1139
+ {
1140
+ "epoch": 1.18,
1141
+ "learning_rate": 7.280687344341006e-06,
1142
+ "loss": 0.3246,
1143
+ "step": 185
1144
+ },
1145
+ {
1146
+ "epoch": 1.19,
1147
+ "learning_rate": 7.182674431585703e-06,
1148
+ "loss": 0.297,
1149
+ "step": 186
1150
+ },
1151
+ {
1152
+ "epoch": 1.19,
1153
+ "learning_rate": 7.084954629470417e-06,
1154
+ "loss": 0.3084,
1155
+ "step": 187
1156
+ },
1157
+ {
1158
+ "epoch": 1.2,
1159
+ "learning_rate": 6.9875381046276605e-06,
1160
+ "loss": 0.3008,
1161
+ "step": 188
1162
+ },
1163
+ {
1164
+ "epoch": 1.21,
1165
+ "learning_rate": 6.8904349921374065e-06,
1166
+ "loss": 0.3002,
1167
+ "step": 189
1168
+ },
1169
+ {
1170
+ "epoch": 1.21,
1171
+ "learning_rate": 6.793655394472645e-06,
1172
+ "loss": 0.3191,
1173
+ "step": 190
1174
+ },
1175
+ {
1176
+ "epoch": 1.22,
1177
+ "learning_rate": 6.697209380448333e-06,
1178
+ "loss": 0.2975,
1179
+ "step": 191
1180
+ },
1181
+ {
1182
+ "epoch": 1.22,
1183
+ "learning_rate": 6.601106984173835e-06,
1184
+ "loss": 0.2993,
1185
+ "step": 192
1186
+ },
1187
+ {
1188
+ "epoch": 1.23,
1189
+ "learning_rate": 6.505358204009018e-06,
1190
+ "loss": 0.2952,
1191
+ "step": 193
1192
+ },
1193
+ {
1194
+ "epoch": 1.24,
1195
+ "learning_rate": 6.409973001524012e-06,
1196
+ "loss": 0.308,
1197
+ "step": 194
1198
+ },
1199
+ {
1200
+ "epoch": 1.24,
1201
+ "learning_rate": 6.314961300462841e-06,
1202
+ "loss": 0.3146,
1203
+ "step": 195
1204
+ },
1205
+ {
1206
+ "epoch": 1.25,
1207
+ "learning_rate": 6.220332985710936e-06,
1208
+ "loss": 0.3156,
1209
+ "step": 196
1210
+ },
1211
+ {
1212
+ "epoch": 1.26,
1213
+ "learning_rate": 6.126097902266772e-06,
1214
+ "loss": 0.3198,
1215
+ "step": 197
1216
+ },
1217
+ {
1218
+ "epoch": 1.26,
1219
+ "learning_rate": 6.032265854217574e-06,
1220
+ "loss": 0.3036,
1221
+ "step": 198
1222
+ },
1223
+ {
1224
+ "epoch": 1.27,
1225
+ "learning_rate": 5.938846603719333e-06,
1226
+ "loss": 0.3061,
1227
+ "step": 199
1228
+ },
1229
+ {
1230
+ "epoch": 1.28,
1231
+ "learning_rate": 5.845849869981137e-06,
1232
+ "loss": 0.3258,
1233
+ "step": 200
1234
+ },
1235
+ {
1236
+ "epoch": 1.28,
1237
+ "eval_loss": 0.5941755771636963,
1238
+ "eval_runtime": 45.0109,
1239
+ "eval_samples_per_second": 18.04,
1240
+ "eval_steps_per_second": 0.578,
1241
+ "step": 200
1242
+ }
1243
+ ],
1244
+ "logging_steps": 1.0,
1245
+ "max_steps": 312,
1246
+ "num_input_tokens_seen": 0,
1247
+ "num_train_epochs": 2,
1248
+ "save_steps": 50,
1249
+ "total_flos": 236151238623232.0,
1250
+ "train_batch_size": 1,
1251
+ "trial_name": null,
1252
+ "trial_params": null
1253
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37535bc747052a31438d56207078ebe5e448ec61636e90a302210b456652b969
3
+ size 6776