junelee commited on
Commit
04d8795
1 Parent(s): c97fff1

add chechpoint

Browse files
config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "models/wizard-vicuna-13b",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 5120,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 13824,
12
+ "max_position_embeddings": 2048,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 40,
15
+ "num_hidden_layers": 40,
16
+ "pad_token_id": 0,
17
+ "rms_norm_eps": 1e-06,
18
+ "tie_word_embeddings": false,
19
+ "torch_dtype": "float32",
20
+ "transformers_version": "4.28.1",
21
+ "use_cache": false,
22
+ "vocab_size": 32000
23
+ }
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": "4.28.1"
7
+ }
pytorch_model-00001-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd6d20e91e990759bb0dcdf3ce4f87229ca5847c7a4b6e8236ebbb52ffecb4fe
3
+ size 9956542859
pytorch_model-00002-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd95ea3f3e5f3e101282627b0737332d70f1b7e78e62759d4b2bef99b481dbef
3
+ size 9940855489
pytorch_model-00003-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73a07ea575ad05d172e792e7614e36b481e97f991b9045fbdf2d376ea8ca4212
3
+ size 9940855919
pytorch_model-00004-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69c814527c14623b590e88472bf753840a4557c7bb841c50ebae492722cc2e02
3
+ size 9867414329
pytorch_model-00005-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30224b7359ee428e4a490c48566fce6d09bfc51a66b380f7504fa83955fa14ef
3
+ size 9867456001
pytorch_model-00006-of-00006.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8bb2cce8f3fe67a0e3bf4c7994bf116ddce2ddc74c3c4a2ea8b0a08748c637d
3
+ size 2490476143
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,410 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 52063462400
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "pytorch_model-00006-of-00006.bin",
7
+ "model.embed_tokens.weight": "pytorch_model-00001-of-00006.bin",
8
+ "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
9
+ "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
10
+ "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
11
+ "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
12
+ "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
13
+ "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
14
+ "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
15
+ "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
16
+ "model.layers.0.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
17
+ "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
18
+ "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
19
+ "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
20
+ "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
21
+ "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
22
+ "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
23
+ "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
24
+ "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
25
+ "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
26
+ "model.layers.1.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
27
+ "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
28
+ "model.layers.10.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
29
+ "model.layers.10.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
30
+ "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
31
+ "model.layers.10.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
32
+ "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
33
+ "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
34
+ "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
35
+ "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
36
+ "model.layers.10.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
37
+ "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
38
+ "model.layers.11.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
39
+ "model.layers.11.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
40
+ "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
41
+ "model.layers.11.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
42
+ "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
43
+ "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
44
+ "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
45
+ "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
46
+ "model.layers.11.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
47
+ "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
48
+ "model.layers.12.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
49
+ "model.layers.12.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
50
+ "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
51
+ "model.layers.12.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
52
+ "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
53
+ "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
54
+ "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
55
+ "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
56
+ "model.layers.12.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
57
+ "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
58
+ "model.layers.13.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
59
+ "model.layers.13.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
60
+ "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
61
+ "model.layers.13.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
62
+ "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
63
+ "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
64
+ "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
65
+ "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
66
+ "model.layers.13.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
67
+ "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
68
+ "model.layers.14.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
69
+ "model.layers.14.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
70
+ "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
71
+ "model.layers.14.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
72
+ "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
73
+ "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
74
+ "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
75
+ "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
76
+ "model.layers.14.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
77
+ "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
78
+ "model.layers.15.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
79
+ "model.layers.15.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
80
+ "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
81
+ "model.layers.15.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
82
+ "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
83
+ "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
84
+ "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
85
+ "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
86
+ "model.layers.15.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
87
+ "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
88
+ "model.layers.16.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
89
+ "model.layers.16.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
90
+ "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
91
+ "model.layers.16.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
92
+ "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
93
+ "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
94
+ "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
95
+ "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
96
+ "model.layers.16.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
97
+ "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
98
+ "model.layers.17.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
99
+ "model.layers.17.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
100
+ "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
101
+ "model.layers.17.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
102
+ "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
103
+ "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
104
+ "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
105
+ "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
106
+ "model.layers.17.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
107
+ "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
108
+ "model.layers.18.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
109
+ "model.layers.18.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
110
+ "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
111
+ "model.layers.18.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
112
+ "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
113
+ "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
114
+ "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
115
+ "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
116
+ "model.layers.18.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
117
+ "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
118
+ "model.layers.19.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
119
+ "model.layers.19.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
120
+ "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
121
+ "model.layers.19.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
122
+ "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
123
+ "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
124
+ "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
125
+ "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
126
+ "model.layers.19.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
127
+ "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
128
+ "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
129
+ "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
130
+ "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
131
+ "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
132
+ "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
133
+ "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
134
+ "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
135
+ "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
136
+ "model.layers.2.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
137
+ "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
138
+ "model.layers.20.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
139
+ "model.layers.20.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
140
+ "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
141
+ "model.layers.20.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
142
+ "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
143
+ "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
144
+ "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
145
+ "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
146
+ "model.layers.20.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
147
+ "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
148
+ "model.layers.21.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
149
+ "model.layers.21.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
150
+ "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
151
+ "model.layers.21.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
152
+ "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
153
+ "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
154
+ "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
155
+ "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
156
+ "model.layers.21.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
157
+ "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
158
+ "model.layers.22.input_layernorm.weight": "pytorch_model-00003-of-00006.bin",
159
+ "model.layers.22.mlp.down_proj.weight": "pytorch_model-00003-of-00006.bin",
160
+ "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00003-of-00006.bin",
161
+ "model.layers.22.mlp.up_proj.weight": "pytorch_model-00003-of-00006.bin",
162
+ "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00003-of-00006.bin",
163
+ "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00003-of-00006.bin",
164
+ "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00003-of-00006.bin",
165
+ "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00003-of-00006.bin",
166
+ "model.layers.22.self_attn.rotary_emb.inv_freq": "pytorch_model-00003-of-00006.bin",
167
+ "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00003-of-00006.bin",
168
+ "model.layers.23.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
169
+ "model.layers.23.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
170
+ "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
171
+ "model.layers.23.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
172
+ "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
173
+ "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
174
+ "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
175
+ "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
176
+ "model.layers.23.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
177
+ "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
178
+ "model.layers.24.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
179
+ "model.layers.24.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
180
+ "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
181
+ "model.layers.24.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
182
+ "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
183
+ "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
184
+ "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
185
+ "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
186
+ "model.layers.24.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
187
+ "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
188
+ "model.layers.25.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
189
+ "model.layers.25.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
190
+ "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
191
+ "model.layers.25.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
192
+ "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
193
+ "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
194
+ "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
195
+ "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
196
+ "model.layers.25.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
197
+ "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
198
+ "model.layers.26.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
199
+ "model.layers.26.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
200
+ "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
201
+ "model.layers.26.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
202
+ "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
203
+ "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
204
+ "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
205
+ "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
206
+ "model.layers.26.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
207
+ "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
208
+ "model.layers.27.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
209
+ "model.layers.27.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
210
+ "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
211
+ "model.layers.27.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
212
+ "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
213
+ "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
214
+ "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
215
+ "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
216
+ "model.layers.27.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
217
+ "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
218
+ "model.layers.28.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
219
+ "model.layers.28.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
220
+ "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
221
+ "model.layers.28.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
222
+ "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
223
+ "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
224
+ "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
225
+ "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
226
+ "model.layers.28.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
227
+ "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
228
+ "model.layers.29.input_layernorm.weight": "pytorch_model-00004-of-00006.bin",
229
+ "model.layers.29.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
230
+ "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
231
+ "model.layers.29.mlp.up_proj.weight": "pytorch_model-00004-of-00006.bin",
232
+ "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00004-of-00006.bin",
233
+ "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
234
+ "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
235
+ "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
236
+ "model.layers.29.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
237
+ "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
238
+ "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
239
+ "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
240
+ "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
241
+ "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
242
+ "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
243
+ "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
244
+ "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
245
+ "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
246
+ "model.layers.3.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
247
+ "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
248
+ "model.layers.30.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
249
+ "model.layers.30.mlp.down_proj.weight": "pytorch_model-00004-of-00006.bin",
250
+ "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00004-of-00006.bin",
251
+ "model.layers.30.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
252
+ "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
253
+ "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00004-of-00006.bin",
254
+ "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00004-of-00006.bin",
255
+ "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00004-of-00006.bin",
256
+ "model.layers.30.self_attn.rotary_emb.inv_freq": "pytorch_model-00004-of-00006.bin",
257
+ "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00004-of-00006.bin",
258
+ "model.layers.31.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
259
+ "model.layers.31.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
260
+ "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
261
+ "model.layers.31.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
262
+ "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
263
+ "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
264
+ "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
265
+ "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
266
+ "model.layers.31.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
267
+ "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
268
+ "model.layers.32.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
269
+ "model.layers.32.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
270
+ "model.layers.32.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
271
+ "model.layers.32.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
272
+ "model.layers.32.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
273
+ "model.layers.32.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
274
+ "model.layers.32.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
275
+ "model.layers.32.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
276
+ "model.layers.32.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
277
+ "model.layers.32.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
278
+ "model.layers.33.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
279
+ "model.layers.33.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
280
+ "model.layers.33.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
281
+ "model.layers.33.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
282
+ "model.layers.33.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
283
+ "model.layers.33.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
284
+ "model.layers.33.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
285
+ "model.layers.33.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
286
+ "model.layers.33.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
287
+ "model.layers.33.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
288
+ "model.layers.34.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
289
+ "model.layers.34.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
290
+ "model.layers.34.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
291
+ "model.layers.34.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
292
+ "model.layers.34.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
293
+ "model.layers.34.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
294
+ "model.layers.34.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
295
+ "model.layers.34.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
296
+ "model.layers.34.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
297
+ "model.layers.34.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
298
+ "model.layers.35.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
299
+ "model.layers.35.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
300
+ "model.layers.35.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
301
+ "model.layers.35.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
302
+ "model.layers.35.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
303
+ "model.layers.35.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
304
+ "model.layers.35.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
305
+ "model.layers.35.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
306
+ "model.layers.35.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
307
+ "model.layers.35.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
308
+ "model.layers.36.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
309
+ "model.layers.36.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
310
+ "model.layers.36.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
311
+ "model.layers.36.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
312
+ "model.layers.36.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
313
+ "model.layers.36.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
314
+ "model.layers.36.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
315
+ "model.layers.36.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
316
+ "model.layers.36.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
317
+ "model.layers.36.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
318
+ "model.layers.37.input_layernorm.weight": "pytorch_model-00005-of-00006.bin",
319
+ "model.layers.37.mlp.down_proj.weight": "pytorch_model-00005-of-00006.bin",
320
+ "model.layers.37.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
321
+ "model.layers.37.mlp.up_proj.weight": "pytorch_model-00005-of-00006.bin",
322
+ "model.layers.37.post_attention_layernorm.weight": "pytorch_model-00005-of-00006.bin",
323
+ "model.layers.37.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
324
+ "model.layers.37.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
325
+ "model.layers.37.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
326
+ "model.layers.37.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
327
+ "model.layers.37.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
328
+ "model.layers.38.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
329
+ "model.layers.38.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
330
+ "model.layers.38.mlp.gate_proj.weight": "pytorch_model-00005-of-00006.bin",
331
+ "model.layers.38.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
332
+ "model.layers.38.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
333
+ "model.layers.38.self_attn.k_proj.weight": "pytorch_model-00005-of-00006.bin",
334
+ "model.layers.38.self_attn.o_proj.weight": "pytorch_model-00005-of-00006.bin",
335
+ "model.layers.38.self_attn.q_proj.weight": "pytorch_model-00005-of-00006.bin",
336
+ "model.layers.38.self_attn.rotary_emb.inv_freq": "pytorch_model-00005-of-00006.bin",
337
+ "model.layers.38.self_attn.v_proj.weight": "pytorch_model-00005-of-00006.bin",
338
+ "model.layers.39.input_layernorm.weight": "pytorch_model-00006-of-00006.bin",
339
+ "model.layers.39.mlp.down_proj.weight": "pytorch_model-00006-of-00006.bin",
340
+ "model.layers.39.mlp.gate_proj.weight": "pytorch_model-00006-of-00006.bin",
341
+ "model.layers.39.mlp.up_proj.weight": "pytorch_model-00006-of-00006.bin",
342
+ "model.layers.39.post_attention_layernorm.weight": "pytorch_model-00006-of-00006.bin",
343
+ "model.layers.39.self_attn.k_proj.weight": "pytorch_model-00006-of-00006.bin",
344
+ "model.layers.39.self_attn.o_proj.weight": "pytorch_model-00006-of-00006.bin",
345
+ "model.layers.39.self_attn.q_proj.weight": "pytorch_model-00006-of-00006.bin",
346
+ "model.layers.39.self_attn.rotary_emb.inv_freq": "pytorch_model-00006-of-00006.bin",
347
+ "model.layers.39.self_attn.v_proj.weight": "pytorch_model-00006-of-00006.bin",
348
+ "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
349
+ "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
350
+ "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
351
+ "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
352
+ "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
353
+ "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
354
+ "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
355
+ "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
356
+ "model.layers.4.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
357
+ "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
358
+ "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
359
+ "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
360
+ "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
361
+ "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
362
+ "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
363
+ "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
364
+ "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
365
+ "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
366
+ "model.layers.5.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
367
+ "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
368
+ "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00006.bin",
369
+ "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00006.bin",
370
+ "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00006.bin",
371
+ "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00006.bin",
372
+ "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00006.bin",
373
+ "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
374
+ "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
375
+ "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
376
+ "model.layers.6.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
377
+ "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
378
+ "model.layers.7.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
379
+ "model.layers.7.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
380
+ "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
381
+ "model.layers.7.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
382
+ "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
383
+ "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00006.bin",
384
+ "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00006.bin",
385
+ "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00006.bin",
386
+ "model.layers.7.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00006.bin",
387
+ "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00006.bin",
388
+ "model.layers.8.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
389
+ "model.layers.8.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
390
+ "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
391
+ "model.layers.8.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
392
+ "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
393
+ "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
394
+ "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
395
+ "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
396
+ "model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
397
+ "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
398
+ "model.layers.9.input_layernorm.weight": "pytorch_model-00002-of-00006.bin",
399
+ "model.layers.9.mlp.down_proj.weight": "pytorch_model-00002-of-00006.bin",
400
+ "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00002-of-00006.bin",
401
+ "model.layers.9.mlp.up_proj.weight": "pytorch_model-00002-of-00006.bin",
402
+ "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00002-of-00006.bin",
403
+ "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00002-of-00006.bin",
404
+ "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00002-of-00006.bin",
405
+ "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00002-of-00006.bin",
406
+ "model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00002-of-00006.bin",
407
+ "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00002-of-00006.bin",
408
+ "model.norm.weight": "pytorch_model-00006-of-00006.bin"
409
+ }
410
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<unk>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": true,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "bos_token": {
5
+ "__type": "AddedToken",
6
+ "content": "<s>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "clean_up_tokenization_spaces": false,
13
+ "eos_token": {
14
+ "__type": "AddedToken",
15
+ "content": "</s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false
20
+ },
21
+ "model_max_length": 2048,
22
+ "pad_token": null,
23
+ "padding_side": "right",
24
+ "sp_model_kwargs": {},
25
+ "tokenizer_class": "LlamaTokenizer",
26
+ "unk_token": {
27
+ "__type": "AddedToken",
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
trainer_state.json ADDED
@@ -0,0 +1,1537 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.991097922848665,
5
+ "global_step": 252,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 1.8181818181818183e-06,
13
+ "loss": 1.1553,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 3.6363636363636366e-06,
19
+ "loss": 1.1604,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.04,
24
+ "learning_rate": 5.4545454545454545e-06,
25
+ "loss": 1.0248,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.05,
30
+ "learning_rate": 7.272727272727273e-06,
31
+ "loss": 0.9345,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.06,
36
+ "learning_rate": 9.090909090909091e-06,
37
+ "loss": 0.8861,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.07,
42
+ "learning_rate": 1.0909090909090909e-05,
43
+ "loss": 0.8385,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.08,
48
+ "learning_rate": 1.2727272727272728e-05,
49
+ "loss": 0.806,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.09,
54
+ "learning_rate": 1.4545454545454546e-05,
55
+ "loss": 0.7936,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.11,
60
+ "learning_rate": 1.6363636363636366e-05,
61
+ "loss": 0.752,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.12,
66
+ "learning_rate": 1.8181818181818182e-05,
67
+ "loss": 0.7385,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.13,
72
+ "learning_rate": 2e-05,
73
+ "loss": 0.7177,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.14,
78
+ "learning_rate": 1.9999150370633987e-05,
79
+ "loss": 0.7116,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.15,
84
+ "learning_rate": 1.9996601626909962e-05,
85
+ "loss": 0.697,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.17,
90
+ "learning_rate": 1.9992354201925427e-05,
91
+ "loss": 0.6884,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.18,
96
+ "learning_rate": 1.998640881742778e-05,
97
+ "loss": 0.6752,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.19,
102
+ "learning_rate": 1.997876648369168e-05,
103
+ "loss": 0.6808,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.2,
108
+ "learning_rate": 1.996942849934735e-05,
109
+ "loss": 0.6427,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.21,
114
+ "learning_rate": 1.9958396451159937e-05,
115
+ "loss": 0.6587,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.23,
120
+ "learning_rate": 1.9945672213759872e-05,
121
+ "loss": 0.6427,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.24,
126
+ "learning_rate": 1.993125794932429e-05,
127
+ "loss": 0.6251,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.25,
132
+ "learning_rate": 1.9915156107209673e-05,
133
+ "loss": 0.6257,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.26,
138
+ "learning_rate": 1.98973694235356e-05,
139
+ "loss": 0.6167,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.27,
144
+ "learning_rate": 1.9877900920719825e-05,
145
+ "loss": 0.596,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.28,
150
+ "learning_rate": 1.9856753906964686e-05,
151
+ "loss": 0.6116,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.3,
156
+ "learning_rate": 1.983393197569497e-05,
157
+ "loss": 0.6072,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.31,
162
+ "learning_rate": 1.980943900494727e-05,
163
+ "loss": 0.599,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.32,
168
+ "learning_rate": 1.9783279156711022e-05,
169
+ "loss": 0.5904,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.33,
174
+ "learning_rate": 1.975545687622129e-05,
175
+ "loss": 0.5887,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.34,
180
+ "learning_rate": 1.972597689120338e-05,
181
+ "loss": 0.585,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.36,
186
+ "learning_rate": 1.9694844211069477e-05,
187
+ "loss": 0.5813,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.37,
192
+ "learning_rate": 1.966206412606745e-05,
193
+ "loss": 0.5847,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.38,
198
+ "learning_rate": 1.9627642206381864e-05,
199
+ "loss": 0.5883,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.39,
204
+ "learning_rate": 1.9591584301187477e-05,
205
+ "loss": 0.5879,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.4,
210
+ "learning_rate": 1.9553896537655317e-05,
211
+ "loss": 0.5753,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.42,
216
+ "learning_rate": 1.951458531991151e-05,
217
+ "loss": 0.5601,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.43,
222
+ "learning_rate": 1.9473657327949055e-05,
223
+ "loss": 0.5665,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.44,
228
+ "learning_rate": 1.9431119516492725e-05,
229
+ "loss": 0.5651,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.45,
234
+ "learning_rate": 1.9386979113817283e-05,
235
+ "loss": 0.5695,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.46,
240
+ "learning_rate": 1.934124362051919e-05,
241
+ "loss": 0.5712,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.47,
246
+ "learning_rate": 1.9293920808242084e-05,
247
+ "loss": 0.5486,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.49,
252
+ "learning_rate": 1.924501871835616e-05,
253
+ "loss": 0.5547,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.5,
258
+ "learning_rate": 1.9194545660591753e-05,
259
+ "loss": 0.55,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.51,
264
+ "learning_rate": 1.9142510211627264e-05,
265
+ "loss": 0.5454,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.52,
270
+ "learning_rate": 1.9088921213631803e-05,
271
+ "loss": 0.5496,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.53,
276
+ "learning_rate": 1.9033787772762647e-05,
277
+ "loss": 0.551,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.55,
282
+ "learning_rate": 1.8977119257617878e-05,
283
+ "loss": 0.5534,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.56,
288
+ "learning_rate": 1.8918925297644418e-05,
289
+ "loss": 0.5368,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.57,
294
+ "learning_rate": 1.8859215781501727e-05,
295
+ "loss": 0.5219,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.58,
300
+ "learning_rate": 1.8798000855381472e-05,
301
+ "loss": 0.5389,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.59,
306
+ "learning_rate": 1.873529092128343e-05,
307
+ "loss": 0.5252,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.61,
312
+ "learning_rate": 1.8671096635247914e-05,
313
+ "loss": 0.5377,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.62,
318
+ "learning_rate": 1.860542890554503e-05,
319
+ "loss": 0.5206,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.63,
324
+ "learning_rate": 1.853829889082109e-05,
325
+ "loss": 0.5387,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.64,
330
+ "learning_rate": 1.8469717998202464e-05,
331
+ "loss": 0.5224,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.65,
336
+ "learning_rate": 1.8399697881357214e-05,
337
+ "loss": 0.523,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.66,
342
+ "learning_rate": 1.8328250438514837e-05,
343
+ "loss": 0.5122,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.68,
348
+ "learning_rate": 1.8255387810444447e-05,
349
+ "loss": 0.5245,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.69,
354
+ "learning_rate": 1.818112237839174e-05,
355
+ "loss": 0.5251,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.7,
360
+ "learning_rate": 1.810546676197511e-05,
361
+ "loss": 0.524,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.71,
366
+ "learning_rate": 1.8028433817041237e-05,
367
+ "loss": 0.5161,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.72,
372
+ "learning_rate": 1.7950036633480557e-05,
373
+ "loss": 0.5339,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.74,
378
+ "learning_rate": 1.787028853300294e-05,
379
+ "loss": 0.5087,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.75,
384
+ "learning_rate": 1.7789203066874e-05,
385
+ "loss": 0.5284,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.76,
390
+ "learning_rate": 1.7706794013612367e-05,
391
+ "loss": 0.5052,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.77,
396
+ "learning_rate": 1.7623075376648374e-05,
397
+ "loss": 0.5093,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 0.78,
402
+ "learning_rate": 1.7538061381944524e-05,
403
+ "loss": 0.5005,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 0.8,
408
+ "learning_rate": 1.745176647557809e-05,
409
+ "loss": 0.5097,
410
+ "step": 67
411
+ },
412
+ {
413
+ "epoch": 0.81,
414
+ "learning_rate": 1.7364205321286393e-05,
415
+ "loss": 0.516,
416
+ "step": 68
417
+ },
418
+ {
419
+ "epoch": 0.82,
420
+ "learning_rate": 1.7275392797975034e-05,
421
+ "loss": 0.51,
422
+ "step": 69
423
+ },
424
+ {
425
+ "epoch": 0.83,
426
+ "learning_rate": 1.718534399718959e-05,
427
+ "loss": 0.5025,
428
+ "step": 70
429
+ },
430
+ {
431
+ "epoch": 0.84,
432
+ "learning_rate": 1.709407422055116e-05,
433
+ "loss": 0.4973,
434
+ "step": 71
435
+ },
436
+ {
437
+ "epoch": 0.85,
438
+ "learning_rate": 1.700159897715624e-05,
439
+ "loss": 0.4971,
440
+ "step": 72
441
+ },
442
+ {
443
+ "epoch": 0.87,
444
+ "learning_rate": 1.6907933980941312e-05,
445
+ "loss": 0.4964,
446
+ "step": 73
447
+ },
448
+ {
449
+ "epoch": 0.88,
450
+ "learning_rate": 1.681309514801265e-05,
451
+ "loss": 0.5095,
452
+ "step": 74
453
+ },
454
+ {
455
+ "epoch": 0.89,
456
+ "learning_rate": 1.6717098593941753e-05,
457
+ "loss": 0.5021,
458
+ "step": 75
459
+ },
460
+ {
461
+ "epoch": 0.9,
462
+ "learning_rate": 1.661996063102689e-05,
463
+ "loss": 0.5028,
464
+ "step": 76
465
+ },
466
+ {
467
+ "epoch": 0.91,
468
+ "learning_rate": 1.6521697765521232e-05,
469
+ "loss": 0.4901,
470
+ "step": 77
471
+ },
472
+ {
473
+ "epoch": 0.93,
474
+ "learning_rate": 1.642232669482801e-05,
475
+ "loss": 0.4853,
476
+ "step": 78
477
+ },
478
+ {
479
+ "epoch": 0.94,
480
+ "learning_rate": 1.6321864304663174e-05,
481
+ "loss": 0.4929,
482
+ "step": 79
483
+ },
484
+ {
485
+ "epoch": 0.95,
486
+ "learning_rate": 1.62203276661861e-05,
487
+ "loss": 0.4962,
488
+ "step": 80
489
+ },
490
+ {
491
+ "epoch": 0.96,
492
+ "learning_rate": 1.6117734033098744e-05,
493
+ "loss": 0.4898,
494
+ "step": 81
495
+ },
496
+ {
497
+ "epoch": 0.97,
498
+ "learning_rate": 1.6014100838713796e-05,
499
+ "loss": 0.4684,
500
+ "step": 82
501
+ },
502
+ {
503
+ "epoch": 0.99,
504
+ "learning_rate": 1.59094456929923e-05,
505
+ "loss": 0.4905,
506
+ "step": 83
507
+ },
508
+ {
509
+ "epoch": 1.0,
510
+ "learning_rate": 1.580378637955128e-05,
511
+ "loss": 0.4744,
512
+ "step": 84
513
+ },
514
+ {
515
+ "epoch": 1.01,
516
+ "learning_rate": 1.5697140852641835e-05,
517
+ "loss": 0.4604,
518
+ "step": 85
519
+ },
520
+ {
521
+ "epoch": 1.02,
522
+ "learning_rate": 1.5589527234098247e-05,
523
+ "loss": 0.4802,
524
+ "step": 86
525
+ },
526
+ {
527
+ "epoch": 1.03,
528
+ "learning_rate": 1.5480963810258614e-05,
529
+ "loss": 0.4716,
530
+ "step": 87
531
+ },
532
+ {
533
+ "epoch": 1.04,
534
+ "learning_rate": 1.5371469028857534e-05,
535
+ "loss": 0.4654,
536
+ "step": 88
537
+ },
538
+ {
539
+ "epoch": 1.06,
540
+ "learning_rate": 1.5261061495891345e-05,
541
+ "loss": 0.4869,
542
+ "step": 89
543
+ },
544
+ {
545
+ "epoch": 1.07,
546
+ "learning_rate": 1.514975997245649e-05,
547
+ "loss": 0.4659,
548
+ "step": 90
549
+ },
550
+ {
551
+ "epoch": 1.08,
552
+ "learning_rate": 1.5037583371561538e-05,
553
+ "loss": 0.4681,
554
+ "step": 91
555
+ },
556
+ {
557
+ "epoch": 1.09,
558
+ "learning_rate": 1.4924550754913341e-05,
559
+ "loss": 0.4534,
560
+ "step": 92
561
+ },
562
+ {
563
+ "epoch": 1.1,
564
+ "learning_rate": 1.4810681329677988e-05,
565
+ "loss": 0.4569,
566
+ "step": 93
567
+ },
568
+ {
569
+ "epoch": 1.12,
570
+ "learning_rate": 1.4695994445216985e-05,
571
+ "loss": 0.4659,
572
+ "step": 94
573
+ },
574
+ {
575
+ "epoch": 1.13,
576
+ "learning_rate": 1.458050958979933e-05,
577
+ "loss": 0.4657,
578
+ "step": 95
579
+ },
580
+ {
581
+ "epoch": 1.14,
582
+ "learning_rate": 1.4464246387289913e-05,
583
+ "loss": 0.4735,
584
+ "step": 96
585
+ },
586
+ {
587
+ "epoch": 1.15,
588
+ "learning_rate": 1.4347224593814946e-05,
589
+ "loss": 0.4599,
590
+ "step": 97
591
+ },
592
+ {
593
+ "epoch": 1.16,
594
+ "learning_rate": 1.4229464094404866e-05,
595
+ "loss": 0.4519,
596
+ "step": 98
597
+ },
598
+ {
599
+ "epoch": 1.18,
600
+ "learning_rate": 1.4110984899615367e-05,
601
+ "loss": 0.4484,
602
+ "step": 99
603
+ },
604
+ {
605
+ "epoch": 1.19,
606
+ "learning_rate": 1.3991807142127082e-05,
607
+ "loss": 0.4454,
608
+ "step": 100
609
+ },
610
+ {
611
+ "epoch": 1.2,
612
+ "learning_rate": 1.3871951073324508e-05,
613
+ "loss": 0.4548,
614
+ "step": 101
615
+ },
616
+ {
617
+ "epoch": 1.21,
618
+ "learning_rate": 1.3751437059854809e-05,
619
+ "loss": 0.4573,
620
+ "step": 102
621
+ },
622
+ {
623
+ "epoch": 1.22,
624
+ "learning_rate": 1.3630285580166946e-05,
625
+ "loss": 0.4429,
626
+ "step": 103
627
+ },
628
+ {
629
+ "epoch": 1.23,
630
+ "learning_rate": 1.3508517221031898e-05,
631
+ "loss": 0.463,
632
+ "step": 104
633
+ },
634
+ {
635
+ "epoch": 1.25,
636
+ "learning_rate": 1.3386152674044421e-05,
637
+ "loss": 0.4579,
638
+ "step": 105
639
+ },
640
+ {
641
+ "epoch": 1.26,
642
+ "learning_rate": 1.3263212732107014e-05,
643
+ "loss": 0.441,
644
+ "step": 106
645
+ },
646
+ {
647
+ "epoch": 1.27,
648
+ "learning_rate": 1.3139718285896657e-05,
649
+ "loss": 0.4566,
650
+ "step": 107
651
+ },
652
+ {
653
+ "epoch": 1.28,
654
+ "learning_rate": 1.3015690320314952e-05,
655
+ "loss": 0.4614,
656
+ "step": 108
657
+ },
658
+ {
659
+ "epoch": 1.29,
660
+ "learning_rate": 1.2891149910922267e-05,
661
+ "loss": 0.4564,
662
+ "step": 109
663
+ },
664
+ {
665
+ "epoch": 1.31,
666
+ "learning_rate": 1.276611822035641e-05,
667
+ "loss": 0.4416,
668
+ "step": 110
669
+ },
670
+ {
671
+ "epoch": 1.32,
672
+ "learning_rate": 1.264061649473657e-05,
673
+ "loss": 0.4506,
674
+ "step": 111
675
+ },
676
+ {
677
+ "epoch": 1.33,
678
+ "learning_rate": 1.2514666060053075e-05,
679
+ "loss": 0.4343,
680
+ "step": 112
681
+ },
682
+ {
683
+ "epoch": 1.34,
684
+ "learning_rate": 1.2388288318543513e-05,
685
+ "loss": 0.4395,
686
+ "step": 113
687
+ },
688
+ {
689
+ "epoch": 1.35,
690
+ "learning_rate": 1.2261504745055963e-05,
691
+ "loss": 0.4525,
692
+ "step": 114
693
+ },
694
+ {
695
+ "epoch": 1.36,
696
+ "learning_rate": 1.2134336883399855e-05,
697
+ "loss": 0.4418,
698
+ "step": 115
699
+ },
700
+ {
701
+ "epoch": 1.38,
702
+ "learning_rate": 1.2006806342685127e-05,
703
+ "loss": 0.4421,
704
+ "step": 116
705
+ },
706
+ {
707
+ "epoch": 1.39,
708
+ "learning_rate": 1.1878934793650273e-05,
709
+ "loss": 0.4347,
710
+ "step": 117
711
+ },
712
+ {
713
+ "epoch": 1.4,
714
+ "learning_rate": 1.1750743964979919e-05,
715
+ "loss": 0.4375,
716
+ "step": 118
717
+ },
718
+ {
719
+ "epoch": 1.41,
720
+ "learning_rate": 1.1622255639612553e-05,
721
+ "loss": 0.4395,
722
+ "step": 119
723
+ },
724
+ {
725
+ "epoch": 1.42,
726
+ "learning_rate": 1.1493491651039077e-05,
727
+ "loss": 0.4325,
728
+ "step": 120
729
+ },
730
+ {
731
+ "epoch": 1.44,
732
+ "learning_rate": 1.1364473879592674e-05,
733
+ "loss": 0.4393,
734
+ "step": 121
735
+ },
736
+ {
737
+ "epoch": 1.45,
738
+ "learning_rate": 1.1235224248730821e-05,
739
+ "loss": 0.4385,
740
+ "step": 122
741
+ },
742
+ {
743
+ "epoch": 1.46,
744
+ "learning_rate": 1.11057647213099e-05,
745
+ "loss": 0.4364,
746
+ "step": 123
747
+ },
748
+ {
749
+ "epoch": 1.47,
750
+ "learning_rate": 1.0976117295853155e-05,
751
+ "loss": 0.4499,
752
+ "step": 124
753
+ },
754
+ {
755
+ "epoch": 1.48,
756
+ "learning_rate": 1.0846304002812564e-05,
757
+ "loss": 0.428,
758
+ "step": 125
759
+ },
760
+ {
761
+ "epoch": 1.5,
762
+ "learning_rate": 1.0716346900825298e-05,
763
+ "loss": 0.4225,
764
+ "step": 126
765
+ },
766
+ {
767
+ "epoch": 1.51,
768
+ "learning_rate": 1.0586268072965395e-05,
769
+ "loss": 0.4303,
770
+ "step": 127
771
+ },
772
+ {
773
+ "epoch": 1.52,
774
+ "learning_rate": 1.0456089622991264e-05,
775
+ "loss": 0.4216,
776
+ "step": 128
777
+ },
778
+ {
779
+ "epoch": 1.53,
780
+ "learning_rate": 1.0325833671589687e-05,
781
+ "loss": 0.4241,
782
+ "step": 129
783
+ },
784
+ {
785
+ "epoch": 1.54,
786
+ "learning_rate": 1.0195522352616942e-05,
787
+ "loss": 0.444,
788
+ "step": 130
789
+ },
790
+ {
791
+ "epoch": 1.55,
792
+ "learning_rate": 1.0065177809337703e-05,
793
+ "loss": 0.4296,
794
+ "step": 131
795
+ },
796
+ {
797
+ "epoch": 1.57,
798
+ "learning_rate": 9.934822190662299e-06,
799
+ "loss": 0.4177,
800
+ "step": 132
801
+ },
802
+ {
803
+ "epoch": 1.58,
804
+ "learning_rate": 9.804477647383061e-06,
805
+ "loss": 0.4342,
806
+ "step": 133
807
+ },
808
+ {
809
+ "epoch": 1.59,
810
+ "learning_rate": 9.674166328410318e-06,
811
+ "loss": 0.4281,
812
+ "step": 134
813
+ },
814
+ {
815
+ "epoch": 1.6,
816
+ "learning_rate": 9.543910377008741e-06,
817
+ "loss": 0.4379,
818
+ "step": 135
819
+ },
820
+ {
821
+ "epoch": 1.61,
822
+ "learning_rate": 9.413731927034607e-06,
823
+ "loss": 0.4059,
824
+ "step": 136
825
+ },
826
+ {
827
+ "epoch": 1.63,
828
+ "learning_rate": 9.283653099174704e-06,
829
+ "loss": 0.4263,
830
+ "step": 137
831
+ },
832
+ {
833
+ "epoch": 1.64,
834
+ "learning_rate": 9.15369599718744e-06,
835
+ "loss": 0.4219,
836
+ "step": 138
837
+ },
838
+ {
839
+ "epoch": 1.65,
840
+ "learning_rate": 9.023882704146848e-06,
841
+ "loss": 0.4231,
842
+ "step": 139
843
+ },
844
+ {
845
+ "epoch": 1.66,
846
+ "learning_rate": 8.894235278690104e-06,
847
+ "loss": 0.406,
848
+ "step": 140
849
+ },
850
+ {
851
+ "epoch": 1.67,
852
+ "learning_rate": 8.764775751269184e-06,
853
+ "loss": 0.4154,
854
+ "step": 141
855
+ },
856
+ {
857
+ "epoch": 1.69,
858
+ "learning_rate": 8.63552612040733e-06,
859
+ "loss": 0.4025,
860
+ "step": 142
861
+ },
862
+ {
863
+ "epoch": 1.7,
864
+ "learning_rate": 8.506508348960924e-06,
865
+ "loss": 0.4263,
866
+ "step": 143
867
+ },
868
+ {
869
+ "epoch": 1.71,
870
+ "learning_rate": 8.377744360387447e-06,
871
+ "loss": 0.4104,
872
+ "step": 144
873
+ },
874
+ {
875
+ "epoch": 1.72,
876
+ "learning_rate": 8.249256035020086e-06,
877
+ "loss": 0.4046,
878
+ "step": 145
879
+ },
880
+ {
881
+ "epoch": 1.73,
882
+ "learning_rate": 8.12106520634973e-06,
883
+ "loss": 0.4109,
884
+ "step": 146
885
+ },
886
+ {
887
+ "epoch": 1.74,
888
+ "learning_rate": 7.993193657314874e-06,
889
+ "loss": 0.4103,
890
+ "step": 147
891
+ },
892
+ {
893
+ "epoch": 1.76,
894
+ "learning_rate": 7.865663116600149e-06,
895
+ "loss": 0.407,
896
+ "step": 148
897
+ },
898
+ {
899
+ "epoch": 1.77,
900
+ "learning_rate": 7.738495254944042e-06,
901
+ "loss": 0.4135,
902
+ "step": 149
903
+ },
904
+ {
905
+ "epoch": 1.78,
906
+ "learning_rate": 7.611711681456493e-06,
907
+ "loss": 0.4103,
908
+ "step": 150
909
+ },
910
+ {
911
+ "epoch": 1.79,
912
+ "learning_rate": 7.485333939946926e-06,
913
+ "loss": 0.4002,
914
+ "step": 151
915
+ },
916
+ {
917
+ "epoch": 1.8,
918
+ "learning_rate": 7.359383505263431e-06,
919
+ "loss": 0.4108,
920
+ "step": 152
921
+ },
922
+ {
923
+ "epoch": 1.82,
924
+ "learning_rate": 7.233881779643595e-06,
925
+ "loss": 0.4185,
926
+ "step": 153
927
+ },
928
+ {
929
+ "epoch": 1.83,
930
+ "learning_rate": 7.108850089077736e-06,
931
+ "loss": 0.4168,
932
+ "step": 154
933
+ },
934
+ {
935
+ "epoch": 1.84,
936
+ "learning_rate": 6.984309679685049e-06,
937
+ "loss": 0.4153,
938
+ "step": 155
939
+ },
940
+ {
941
+ "epoch": 1.85,
942
+ "learning_rate": 6.86028171410335e-06,
943
+ "loss": 0.3995,
944
+ "step": 156
945
+ },
946
+ {
947
+ "epoch": 1.86,
948
+ "learning_rate": 6.736787267892991e-06,
949
+ "loss": 0.4058,
950
+ "step": 157
951
+ },
952
+ {
953
+ "epoch": 1.88,
954
+ "learning_rate": 6.613847325955578e-06,
955
+ "loss": 0.3968,
956
+ "step": 158
957
+ },
958
+ {
959
+ "epoch": 1.89,
960
+ "learning_rate": 6.491482778968103e-06,
961
+ "loss": 0.4005,
962
+ "step": 159
963
+ },
964
+ {
965
+ "epoch": 1.9,
966
+ "learning_rate": 6.369714419833056e-06,
967
+ "loss": 0.4184,
968
+ "step": 160
969
+ },
970
+ {
971
+ "epoch": 1.91,
972
+ "learning_rate": 6.2485629401451954e-06,
973
+ "loss": 0.3958,
974
+ "step": 161
975
+ },
976
+ {
977
+ "epoch": 1.92,
978
+ "learning_rate": 6.128048926675494e-06,
979
+ "loss": 0.4159,
980
+ "step": 162
981
+ },
982
+ {
983
+ "epoch": 1.93,
984
+ "learning_rate": 6.0081928578729235e-06,
985
+ "loss": 0.4051,
986
+ "step": 163
987
+ },
988
+ {
989
+ "epoch": 1.95,
990
+ "learning_rate": 5.889015100384636e-06,
991
+ "loss": 0.3841,
992
+ "step": 164
993
+ },
994
+ {
995
+ "epoch": 1.96,
996
+ "learning_rate": 5.770535905595138e-06,
997
+ "loss": 0.3989,
998
+ "step": 165
999
+ },
1000
+ {
1001
+ "epoch": 1.97,
1002
+ "learning_rate": 5.652775406185056e-06,
1003
+ "loss": 0.3979,
1004
+ "step": 166
1005
+ },
1006
+ {
1007
+ "epoch": 1.98,
1008
+ "learning_rate": 5.535753612710091e-06,
1009
+ "loss": 0.402,
1010
+ "step": 167
1011
+ },
1012
+ {
1013
+ "epoch": 1.99,
1014
+ "learning_rate": 5.419490410200675e-06,
1015
+ "loss": 0.4114,
1016
+ "step": 168
1017
+ },
1018
+ {
1019
+ "epoch": 2.01,
1020
+ "learning_rate": 5.304005554783015e-06,
1021
+ "loss": 0.3852,
1022
+ "step": 169
1023
+ },
1024
+ {
1025
+ "epoch": 2.02,
1026
+ "learning_rate": 5.189318670322016e-06,
1027
+ "loss": 0.4014,
1028
+ "step": 170
1029
+ },
1030
+ {
1031
+ "epoch": 2.03,
1032
+ "learning_rate": 5.075449245086661e-06,
1033
+ "loss": 0.3757,
1034
+ "step": 171
1035
+ },
1036
+ {
1037
+ "epoch": 2.04,
1038
+ "learning_rate": 4.962416628438466e-06,
1039
+ "loss": 0.3987,
1040
+ "step": 172
1041
+ },
1042
+ {
1043
+ "epoch": 2.05,
1044
+ "learning_rate": 4.850240027543509e-06,
1045
+ "loss": 0.3715,
1046
+ "step": 173
1047
+ },
1048
+ {
1049
+ "epoch": 2.07,
1050
+ "learning_rate": 4.738938504108659e-06,
1051
+ "loss": 0.3829,
1052
+ "step": 174
1053
+ },
1054
+ {
1055
+ "epoch": 2.08,
1056
+ "learning_rate": 4.6285309711424706e-06,
1057
+ "loss": 0.3853,
1058
+ "step": 175
1059
+ },
1060
+ {
1061
+ "epoch": 2.09,
1062
+ "learning_rate": 4.519036189741386e-06,
1063
+ "loss": 0.3796,
1064
+ "step": 176
1065
+ },
1066
+ {
1067
+ "epoch": 2.1,
1068
+ "learning_rate": 4.410472765901755e-06,
1069
+ "loss": 0.3854,
1070
+ "step": 177
1071
+ },
1072
+ {
1073
+ "epoch": 2.11,
1074
+ "learning_rate": 4.302859147358168e-06,
1075
+ "loss": 0.373,
1076
+ "step": 178
1077
+ },
1078
+ {
1079
+ "epoch": 2.12,
1080
+ "learning_rate": 4.196213620448724e-06,
1081
+ "loss": 0.3872,
1082
+ "step": 179
1083
+ },
1084
+ {
1085
+ "epoch": 2.14,
1086
+ "learning_rate": 4.0905543070077036e-06,
1087
+ "loss": 0.3873,
1088
+ "step": 180
1089
+ },
1090
+ {
1091
+ "epoch": 2.15,
1092
+ "learning_rate": 3.985899161286205e-06,
1093
+ "loss": 0.3743,
1094
+ "step": 181
1095
+ },
1096
+ {
1097
+ "epoch": 2.16,
1098
+ "learning_rate": 3.882265966901257e-06,
1099
+ "loss": 0.3845,
1100
+ "step": 182
1101
+ },
1102
+ {
1103
+ "epoch": 2.17,
1104
+ "learning_rate": 3.7796723338138995e-06,
1105
+ "loss": 0.3705,
1106
+ "step": 183
1107
+ },
1108
+ {
1109
+ "epoch": 2.18,
1110
+ "learning_rate": 3.6781356953368286e-06,
1111
+ "loss": 0.3892,
1112
+ "step": 184
1113
+ },
1114
+ {
1115
+ "epoch": 2.2,
1116
+ "learning_rate": 3.5776733051719935e-06,
1117
+ "loss": 0.3832,
1118
+ "step": 185
1119
+ },
1120
+ {
1121
+ "epoch": 2.21,
1122
+ "learning_rate": 3.4783022344787698e-06,
1123
+ "loss": 0.3597,
1124
+ "step": 186
1125
+ },
1126
+ {
1127
+ "epoch": 2.22,
1128
+ "learning_rate": 3.380039368973115e-06,
1129
+ "loss": 0.3861,
1130
+ "step": 187
1131
+ },
1132
+ {
1133
+ "epoch": 2.23,
1134
+ "learning_rate": 3.2829014060582498e-06,
1135
+ "loss": 0.3847,
1136
+ "step": 188
1137
+ },
1138
+ {
1139
+ "epoch": 2.24,
1140
+ "learning_rate": 3.1869048519873514e-06,
1141
+ "loss": 0.3665,
1142
+ "step": 189
1143
+ },
1144
+ {
1145
+ "epoch": 2.26,
1146
+ "learning_rate": 3.0920660190586893e-06,
1147
+ "loss": 0.3695,
1148
+ "step": 190
1149
+ },
1150
+ {
1151
+ "epoch": 2.27,
1152
+ "learning_rate": 2.998401022843761e-06,
1153
+ "loss": 0.3818,
1154
+ "step": 191
1155
+ },
1156
+ {
1157
+ "epoch": 2.28,
1158
+ "learning_rate": 2.9059257794488428e-06,
1159
+ "loss": 0.3738,
1160
+ "step": 192
1161
+ },
1162
+ {
1163
+ "epoch": 2.29,
1164
+ "learning_rate": 2.8146560028104155e-06,
1165
+ "loss": 0.3733,
1166
+ "step": 193
1167
+ },
1168
+ {
1169
+ "epoch": 2.3,
1170
+ "learning_rate": 2.724607202024969e-06,
1171
+ "loss": 0.3745,
1172
+ "step": 194
1173
+ },
1174
+ {
1175
+ "epoch": 2.31,
1176
+ "learning_rate": 2.635794678713611e-06,
1177
+ "loss": 0.387,
1178
+ "step": 195
1179
+ },
1180
+ {
1181
+ "epoch": 2.33,
1182
+ "learning_rate": 2.5482335244219114e-06,
1183
+ "loss": 0.3644,
1184
+ "step": 196
1185
+ },
1186
+ {
1187
+ "epoch": 2.34,
1188
+ "learning_rate": 2.4619386180554783e-06,
1189
+ "loss": 0.3686,
1190
+ "step": 197
1191
+ },
1192
+ {
1193
+ "epoch": 2.35,
1194
+ "learning_rate": 2.3769246233516243e-06,
1195
+ "loss": 0.3674,
1196
+ "step": 198
1197
+ },
1198
+ {
1199
+ "epoch": 2.36,
1200
+ "learning_rate": 2.2932059863876364e-06,
1201
+ "loss": 0.3723,
1202
+ "step": 199
1203
+ },
1204
+ {
1205
+ "epoch": 2.37,
1206
+ "learning_rate": 2.210796933126005e-06,
1207
+ "loss": 0.3715,
1208
+ "step": 200
1209
+ },
1210
+ {
1211
+ "epoch": 2.39,
1212
+ "learning_rate": 2.129711466997062e-06,
1213
+ "loss": 0.3498,
1214
+ "step": 201
1215
+ },
1216
+ {
1217
+ "epoch": 2.4,
1218
+ "learning_rate": 2.049963366519446e-06,
1219
+ "loss": 0.3688,
1220
+ "step": 202
1221
+ },
1222
+ {
1223
+ "epoch": 2.41,
1224
+ "learning_rate": 1.9715661829587653e-06,
1225
+ "loss": 0.3791,
1226
+ "step": 203
1227
+ },
1228
+ {
1229
+ "epoch": 2.42,
1230
+ "learning_rate": 1.8945332380248914e-06,
1231
+ "loss": 0.3668,
1232
+ "step": 204
1233
+ },
1234
+ {
1235
+ "epoch": 2.43,
1236
+ "learning_rate": 1.8188776216082604e-06,
1237
+ "loss": 0.3626,
1238
+ "step": 205
1239
+ },
1240
+ {
1241
+ "epoch": 2.45,
1242
+ "learning_rate": 1.7446121895555556e-06,
1243
+ "loss": 0.3623,
1244
+ "step": 206
1245
+ },
1246
+ {
1247
+ "epoch": 2.46,
1248
+ "learning_rate": 1.6717495614851654e-06,
1249
+ "loss": 0.3736,
1250
+ "step": 207
1251
+ },
1252
+ {
1253
+ "epoch": 2.47,
1254
+ "learning_rate": 1.6003021186427892e-06,
1255
+ "loss": 0.3863,
1256
+ "step": 208
1257
+ },
1258
+ {
1259
+ "epoch": 2.48,
1260
+ "learning_rate": 1.5302820017975396e-06,
1261
+ "loss": 0.3607,
1262
+ "step": 209
1263
+ },
1264
+ {
1265
+ "epoch": 2.49,
1266
+ "learning_rate": 1.4617011091789135e-06,
1267
+ "loss": 0.3533,
1268
+ "step": 210
1269
+ },
1270
+ {
1271
+ "epoch": 2.5,
1272
+ "learning_rate": 1.3945710944549705e-06,
1273
+ "loss": 0.3613,
1274
+ "step": 211
1275
+ },
1276
+ {
1277
+ "epoch": 2.52,
1278
+ "learning_rate": 1.3289033647520878e-06,
1279
+ "loss": 0.3776,
1280
+ "step": 212
1281
+ },
1282
+ {
1283
+ "epoch": 2.53,
1284
+ "learning_rate": 1.2647090787165694e-06,
1285
+ "loss": 0.3623,
1286
+ "step": 213
1287
+ },
1288
+ {
1289
+ "epoch": 2.54,
1290
+ "learning_rate": 1.201999144618531e-06,
1291
+ "loss": 0.36,
1292
+ "step": 214
1293
+ },
1294
+ {
1295
+ "epoch": 2.55,
1296
+ "learning_rate": 1.1407842184982786e-06,
1297
+ "loss": 0.3683,
1298
+ "step": 215
1299
+ },
1300
+ {
1301
+ "epoch": 2.56,
1302
+ "learning_rate": 1.0810747023555879e-06,
1303
+ "loss": 0.3642,
1304
+ "step": 216
1305
+ },
1306
+ {
1307
+ "epoch": 2.58,
1308
+ "learning_rate": 1.0228807423821262e-06,
1309
+ "loss": 0.3586,
1310
+ "step": 217
1311
+ },
1312
+ {
1313
+ "epoch": 2.59,
1314
+ "learning_rate": 9.662122272373574e-07,
1315
+ "loss": 0.3667,
1316
+ "step": 218
1317
+ },
1318
+ {
1319
+ "epoch": 2.6,
1320
+ "learning_rate": 9.110787863682002e-07,
1321
+ "loss": 0.3698,
1322
+ "step": 219
1323
+ },
1324
+ {
1325
+ "epoch": 2.61,
1326
+ "learning_rate": 8.574897883727384e-07,
1327
+ "loss": 0.3607,
1328
+ "step": 220
1329
+ },
1330
+ {
1331
+ "epoch": 2.62,
1332
+ "learning_rate": 8.054543394082503e-07,
1333
+ "loss": 0.3726,
1334
+ "step": 221
1335
+ },
1336
+ {
1337
+ "epoch": 2.64,
1338
+ "learning_rate": 7.549812816438395e-07,
1339
+ "loss": 0.3602,
1340
+ "step": 222
1341
+ },
1342
+ {
1343
+ "epoch": 2.65,
1344
+ "learning_rate": 7.06079191757918e-07,
1345
+ "loss": 0.3668,
1346
+ "step": 223
1347
+ },
1348
+ {
1349
+ "epoch": 2.66,
1350
+ "learning_rate": 6.587563794808127e-07,
1351
+ "loss": 0.3639,
1352
+ "step": 224
1353
+ },
1354
+ {
1355
+ "epoch": 2.67,
1356
+ "learning_rate": 6.130208861827203e-07,
1357
+ "loss": 0.3545,
1358
+ "step": 225
1359
+ },
1360
+ {
1361
+ "epoch": 2.68,
1362
+ "learning_rate": 5.688804835072748e-07,
1363
+ "loss": 0.3713,
1364
+ "step": 226
1365
+ },
1366
+ {
1367
+ "epoch": 2.69,
1368
+ "learning_rate": 5.263426720509469e-07,
1369
+ "loss": 0.3577,
1370
+ "step": 227
1371
+ },
1372
+ {
1373
+ "epoch": 2.71,
1374
+ "learning_rate": 4.854146800884929e-07,
1375
+ "loss": 0.3818,
1376
+ "step": 228
1377
+ },
1378
+ {
1379
+ "epoch": 2.72,
1380
+ "learning_rate": 4.461034623446847e-07,
1381
+ "loss": 0.3567,
1382
+ "step": 229
1383
+ },
1384
+ {
1385
+ "epoch": 2.73,
1386
+ "learning_rate": 4.084156988125232e-07,
1387
+ "loss": 0.3596,
1388
+ "step": 230
1389
+ },
1390
+ {
1391
+ "epoch": 2.74,
1392
+ "learning_rate": 3.723577936181366e-07,
1393
+ "loss": 0.354,
1394
+ "step": 231
1395
+ },
1396
+ {
1397
+ "epoch": 2.75,
1398
+ "learning_rate": 3.3793587393255e-07,
1399
+ "loss": 0.3471,
1400
+ "step": 232
1401
+ },
1402
+ {
1403
+ "epoch": 2.77,
1404
+ "learning_rate": 3.0515578893052343e-07,
1405
+ "loss": 0.3472,
1406
+ "step": 233
1407
+ },
1408
+ {
1409
+ "epoch": 2.78,
1410
+ "learning_rate": 2.7402310879662497e-07,
1411
+ "loss": 0.3677,
1412
+ "step": 234
1413
+ },
1414
+ {
1415
+ "epoch": 2.79,
1416
+ "learning_rate": 2.4454312377871105e-07,
1417
+ "loss": 0.3658,
1418
+ "step": 235
1419
+ },
1420
+ {
1421
+ "epoch": 2.8,
1422
+ "learning_rate": 2.167208432889789e-07,
1423
+ "loss": 0.345,
1424
+ "step": 236
1425
+ },
1426
+ {
1427
+ "epoch": 2.81,
1428
+ "learning_rate": 1.9056099505273428e-07,
1429
+ "loss": 0.3525,
1430
+ "step": 237
1431
+ },
1432
+ {
1433
+ "epoch": 2.82,
1434
+ "learning_rate": 1.6606802430503166e-07,
1435
+ "loss": 0.3687,
1436
+ "step": 238
1437
+ },
1438
+ {
1439
+ "epoch": 2.84,
1440
+ "learning_rate": 1.43246093035313e-07,
1441
+ "loss": 0.3668,
1442
+ "step": 239
1443
+ },
1444
+ {
1445
+ "epoch": 2.85,
1446
+ "learning_rate": 1.2209907928017794e-07,
1447
+ "loss": 0.3622,
1448
+ "step": 240
1449
+ },
1450
+ {
1451
+ "epoch": 2.86,
1452
+ "learning_rate": 1.02630576464402e-07,
1453
+ "loss": 0.3723,
1454
+ "step": 241
1455
+ },
1456
+ {
1457
+ "epoch": 2.87,
1458
+ "learning_rate": 8.484389279032835e-08,
1459
+ "loss": 0.3619,
1460
+ "step": 242
1461
+ },
1462
+ {
1463
+ "epoch": 2.88,
1464
+ "learning_rate": 6.874205067571082e-08,
1465
+ "loss": 0.3743,
1466
+ "step": 243
1467
+ },
1468
+ {
1469
+ "epoch": 2.9,
1470
+ "learning_rate": 5.4327786240132576e-08,
1471
+ "loss": 0.3619,
1472
+ "step": 244
1473
+ },
1474
+ {
1475
+ "epoch": 2.91,
1476
+ "learning_rate": 4.1603548840062344e-08,
1477
+ "loss": 0.3658,
1478
+ "step": 245
1479
+ },
1480
+ {
1481
+ "epoch": 2.92,
1482
+ "learning_rate": 3.0571500652651906e-08,
1483
+ "loss": 0.3573,
1484
+ "step": 246
1485
+ },
1486
+ {
1487
+ "epoch": 2.93,
1488
+ "learning_rate": 2.1233516308323266e-08,
1489
+ "loss": 0.3577,
1490
+ "step": 247
1491
+ },
1492
+ {
1493
+ "epoch": 2.94,
1494
+ "learning_rate": 1.3591182572219031e-08,
1495
+ "loss": 0.3602,
1496
+ "step": 248
1497
+ },
1498
+ {
1499
+ "epoch": 2.96,
1500
+ "learning_rate": 7.645798074572552e-09,
1501
+ "loss": 0.3601,
1502
+ "step": 249
1503
+ },
1504
+ {
1505
+ "epoch": 2.97,
1506
+ "learning_rate": 3.3983730900377654e-09,
1507
+ "loss": 0.3694,
1508
+ "step": 250
1509
+ },
1510
+ {
1511
+ "epoch": 2.98,
1512
+ "learning_rate": 8.496293660120725e-10,
1513
+ "loss": 0.3598,
1514
+ "step": 251
1515
+ },
1516
+ {
1517
+ "epoch": 2.99,
1518
+ "learning_rate": 0.0,
1519
+ "loss": 0.3427,
1520
+ "step": 252
1521
+ },
1522
+ {
1523
+ "epoch": 2.99,
1524
+ "step": 252,
1525
+ "total_flos": 6.286385791107072e+17,
1526
+ "train_loss": 0.46650314425665235,
1527
+ "train_runtime": 17988.2658,
1528
+ "train_samples_per_second": 1.798,
1529
+ "train_steps_per_second": 0.014
1530
+ }
1531
+ ],
1532
+ "max_steps": 252,
1533
+ "num_train_epochs": 3,
1534
+ "total_flos": 6.286385791107072e+17,
1535
+ "trial_name": null,
1536
+ "trial_params": null
1537
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10ac83d17c0b1c068061ef4a810c7898692914dc89c366a17d81386ba6e72a48
3
+ size 3707