Text Generation
Transformers
PyTorch
English
llama
code
Inference Endpoints
text-generation-inference
Pasta009 commited on
Commit
874fc15
1 Parent(s): 0150433

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "[PAD]": 32004,
3
+ "▁<EOT>": 32003,
4
+ "▁<MID>": 32001,
5
+ "▁<PRE>": 32000,
6
+ "▁<SUF>": 32002
7
+ }
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "train_loss": 0.4101460447038436,
4
+ "train_runtime": 17896.4424,
5
+ "train_samples_per_second": 31.986,
6
+ "train_steps_per_second": 0.125
7
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/group/20025/jiuding/LLM_ZOO/CodeLlama-7b-Python-hf",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 16384,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 32,
16
+ "num_key_value_heads": 32,
17
+ "pretraining_tp": 1,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_scaling": null,
20
+ "rope_theta": 1000000,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.33.3",
24
+ "use_cache": true,
25
+ "vocab_size": 32005
26
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.33.3"
6
+ }
log.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model-00001-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d14e9ac3f75a906ed5d6442e655b987000905f233041f2fae841eddc6b4fbefa
3
+ size 9976661082
pytorch_model-00002-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e7da649f43024477855fe4da4d3e1766d7559c8cb96cc82c216f82a921c6c11c
3
+ size 3500351747
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13476913152
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "pytorch_model-00002-of-00002.bin",
7
+ "model.embed_tokens.weight": "pytorch_model-00001-of-00002.bin",
8
+ "model.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
9
+ "model.layers.0.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
10
+ "model.layers.0.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
11
+ "model.layers.0.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
12
+ "model.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
13
+ "model.layers.0.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
14
+ "model.layers.0.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
15
+ "model.layers.0.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
16
+ "model.layers.0.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
17
+ "model.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
18
+ "model.layers.1.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
19
+ "model.layers.1.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
20
+ "model.layers.1.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
21
+ "model.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
22
+ "model.layers.1.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
23
+ "model.layers.1.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
24
+ "model.layers.1.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
25
+ "model.layers.1.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
26
+ "model.layers.10.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
27
+ "model.layers.10.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
28
+ "model.layers.10.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
29
+ "model.layers.10.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
30
+ "model.layers.10.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
31
+ "model.layers.10.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
32
+ "model.layers.10.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
33
+ "model.layers.10.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
34
+ "model.layers.10.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
35
+ "model.layers.11.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
36
+ "model.layers.11.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
37
+ "model.layers.11.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
38
+ "model.layers.11.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
39
+ "model.layers.11.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
40
+ "model.layers.11.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
41
+ "model.layers.11.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
42
+ "model.layers.11.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
43
+ "model.layers.11.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
44
+ "model.layers.12.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
45
+ "model.layers.12.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
46
+ "model.layers.12.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
47
+ "model.layers.12.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
48
+ "model.layers.12.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
49
+ "model.layers.12.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
50
+ "model.layers.12.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
51
+ "model.layers.12.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
52
+ "model.layers.12.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
53
+ "model.layers.13.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
54
+ "model.layers.13.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
55
+ "model.layers.13.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
56
+ "model.layers.13.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
57
+ "model.layers.13.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
58
+ "model.layers.13.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
59
+ "model.layers.13.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
60
+ "model.layers.13.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
61
+ "model.layers.13.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
62
+ "model.layers.14.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
63
+ "model.layers.14.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
64
+ "model.layers.14.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
65
+ "model.layers.14.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
66
+ "model.layers.14.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
67
+ "model.layers.14.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
68
+ "model.layers.14.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
69
+ "model.layers.14.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
70
+ "model.layers.14.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
71
+ "model.layers.15.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
72
+ "model.layers.15.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
73
+ "model.layers.15.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
74
+ "model.layers.15.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
75
+ "model.layers.15.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
76
+ "model.layers.15.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
77
+ "model.layers.15.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
78
+ "model.layers.15.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
79
+ "model.layers.15.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
80
+ "model.layers.16.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
81
+ "model.layers.16.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
82
+ "model.layers.16.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
83
+ "model.layers.16.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
84
+ "model.layers.16.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
85
+ "model.layers.16.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
86
+ "model.layers.16.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
87
+ "model.layers.16.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
88
+ "model.layers.16.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
89
+ "model.layers.17.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
90
+ "model.layers.17.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
91
+ "model.layers.17.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
92
+ "model.layers.17.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
93
+ "model.layers.17.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
94
+ "model.layers.17.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
95
+ "model.layers.17.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
96
+ "model.layers.17.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
97
+ "model.layers.17.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
98
+ "model.layers.18.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
99
+ "model.layers.18.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
100
+ "model.layers.18.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
101
+ "model.layers.18.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
102
+ "model.layers.18.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
103
+ "model.layers.18.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
104
+ "model.layers.18.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
105
+ "model.layers.18.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
106
+ "model.layers.18.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
107
+ "model.layers.19.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
108
+ "model.layers.19.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
109
+ "model.layers.19.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
110
+ "model.layers.19.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
111
+ "model.layers.19.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
112
+ "model.layers.19.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
113
+ "model.layers.19.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
114
+ "model.layers.19.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
115
+ "model.layers.19.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
116
+ "model.layers.2.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
117
+ "model.layers.2.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
118
+ "model.layers.2.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
119
+ "model.layers.2.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
120
+ "model.layers.2.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
121
+ "model.layers.2.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
122
+ "model.layers.2.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
123
+ "model.layers.2.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
124
+ "model.layers.2.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
125
+ "model.layers.20.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
126
+ "model.layers.20.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
127
+ "model.layers.20.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
128
+ "model.layers.20.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
129
+ "model.layers.20.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
130
+ "model.layers.20.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
131
+ "model.layers.20.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
132
+ "model.layers.20.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
133
+ "model.layers.20.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
134
+ "model.layers.21.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
135
+ "model.layers.21.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
136
+ "model.layers.21.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
137
+ "model.layers.21.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
138
+ "model.layers.21.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
139
+ "model.layers.21.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
140
+ "model.layers.21.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
141
+ "model.layers.21.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
142
+ "model.layers.21.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
143
+ "model.layers.22.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
144
+ "model.layers.22.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
145
+ "model.layers.22.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
146
+ "model.layers.22.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
147
+ "model.layers.22.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
148
+ "model.layers.22.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
149
+ "model.layers.22.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
150
+ "model.layers.22.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
151
+ "model.layers.22.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
152
+ "model.layers.23.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
153
+ "model.layers.23.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
154
+ "model.layers.23.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
155
+ "model.layers.23.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
156
+ "model.layers.23.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
157
+ "model.layers.23.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
158
+ "model.layers.23.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
159
+ "model.layers.23.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
160
+ "model.layers.23.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
161
+ "model.layers.24.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
162
+ "model.layers.24.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
163
+ "model.layers.24.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
164
+ "model.layers.24.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
165
+ "model.layers.24.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
166
+ "model.layers.24.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
167
+ "model.layers.24.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
168
+ "model.layers.24.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
169
+ "model.layers.24.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
170
+ "model.layers.25.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
171
+ "model.layers.25.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
172
+ "model.layers.25.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
173
+ "model.layers.25.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
174
+ "model.layers.25.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
175
+ "model.layers.25.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
176
+ "model.layers.25.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
177
+ "model.layers.25.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
178
+ "model.layers.25.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
179
+ "model.layers.26.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
180
+ "model.layers.26.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
181
+ "model.layers.26.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
182
+ "model.layers.26.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
183
+ "model.layers.26.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
184
+ "model.layers.26.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
185
+ "model.layers.26.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
186
+ "model.layers.26.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
187
+ "model.layers.26.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
188
+ "model.layers.27.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
189
+ "model.layers.27.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
190
+ "model.layers.27.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
191
+ "model.layers.27.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
192
+ "model.layers.27.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
193
+ "model.layers.27.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
194
+ "model.layers.27.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
195
+ "model.layers.27.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
196
+ "model.layers.27.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
197
+ "model.layers.28.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
198
+ "model.layers.28.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
199
+ "model.layers.28.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
200
+ "model.layers.28.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
201
+ "model.layers.28.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
202
+ "model.layers.28.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
203
+ "model.layers.28.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
204
+ "model.layers.28.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
205
+ "model.layers.28.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
206
+ "model.layers.29.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
207
+ "model.layers.29.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
208
+ "model.layers.29.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
209
+ "model.layers.29.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
210
+ "model.layers.29.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
211
+ "model.layers.29.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
212
+ "model.layers.29.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
213
+ "model.layers.29.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
214
+ "model.layers.29.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
215
+ "model.layers.3.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
216
+ "model.layers.3.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
217
+ "model.layers.3.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
218
+ "model.layers.3.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
219
+ "model.layers.3.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
220
+ "model.layers.3.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
221
+ "model.layers.3.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
222
+ "model.layers.3.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
223
+ "model.layers.3.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
224
+ "model.layers.30.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
225
+ "model.layers.30.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
226
+ "model.layers.30.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
227
+ "model.layers.30.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
228
+ "model.layers.30.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
229
+ "model.layers.30.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
230
+ "model.layers.30.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
231
+ "model.layers.30.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
232
+ "model.layers.30.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
233
+ "model.layers.31.input_layernorm.weight": "pytorch_model-00002-of-00002.bin",
234
+ "model.layers.31.mlp.down_proj.weight": "pytorch_model-00002-of-00002.bin",
235
+ "model.layers.31.mlp.gate_proj.weight": "pytorch_model-00002-of-00002.bin",
236
+ "model.layers.31.mlp.up_proj.weight": "pytorch_model-00002-of-00002.bin",
237
+ "model.layers.31.post_attention_layernorm.weight": "pytorch_model-00002-of-00002.bin",
238
+ "model.layers.31.self_attn.k_proj.weight": "pytorch_model-00002-of-00002.bin",
239
+ "model.layers.31.self_attn.o_proj.weight": "pytorch_model-00002-of-00002.bin",
240
+ "model.layers.31.self_attn.q_proj.weight": "pytorch_model-00002-of-00002.bin",
241
+ "model.layers.31.self_attn.v_proj.weight": "pytorch_model-00002-of-00002.bin",
242
+ "model.layers.4.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
243
+ "model.layers.4.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
244
+ "model.layers.4.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
245
+ "model.layers.4.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
246
+ "model.layers.4.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
247
+ "model.layers.4.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
248
+ "model.layers.4.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
249
+ "model.layers.4.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
250
+ "model.layers.4.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
251
+ "model.layers.5.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
252
+ "model.layers.5.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
253
+ "model.layers.5.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
254
+ "model.layers.5.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
255
+ "model.layers.5.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
256
+ "model.layers.5.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
257
+ "model.layers.5.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
258
+ "model.layers.5.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
259
+ "model.layers.5.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
260
+ "model.layers.6.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
261
+ "model.layers.6.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
262
+ "model.layers.6.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
263
+ "model.layers.6.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
264
+ "model.layers.6.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
265
+ "model.layers.6.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
266
+ "model.layers.6.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
267
+ "model.layers.6.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
268
+ "model.layers.6.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
269
+ "model.layers.7.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
270
+ "model.layers.7.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
271
+ "model.layers.7.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
272
+ "model.layers.7.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
273
+ "model.layers.7.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
274
+ "model.layers.7.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
275
+ "model.layers.7.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
276
+ "model.layers.7.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
277
+ "model.layers.7.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
278
+ "model.layers.8.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
279
+ "model.layers.8.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
280
+ "model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
281
+ "model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
282
+ "model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
283
+ "model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
284
+ "model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
285
+ "model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
286
+ "model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
287
+ "model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
288
+ "model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
289
+ "model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
290
+ "model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
291
+ "model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
292
+ "model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
293
+ "model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
294
+ "model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
295
+ "model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
296
+ "model.norm.weight": "pytorch_model-00002-of-00002.bin"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "▁<PRE>",
4
+ "▁<MID>",
5
+ "▁<SUF>",
6
+ "▁<EOT>"
7
+ ],
8
+ "bos_token": {
9
+ "content": "<s>",
10
+ "lstrip": false,
11
+ "normalized": true,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "eos_token": {
16
+ "content": "</s>",
17
+ "lstrip": false,
18
+ "normalized": true,
19
+ "rstrip": false,
20
+ "single_word": false
21
+ },
22
+ "pad_token": "[PAD]",
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
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 sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "additional_special_tokens": [
5
+ "▁<PRE>",
6
+ "▁<MID>",
7
+ "▁<SUF>",
8
+ "▁<EOT>"
9
+ ],
10
+ "bos_token": {
11
+ "__type": "AddedToken",
12
+ "content": "<s>",
13
+ "lstrip": false,
14
+ "normalized": true,
15
+ "rstrip": false,
16
+ "single_word": false
17
+ },
18
+ "clean_up_tokenization_spaces": false,
19
+ "eos_token": {
20
+ "__type": "AddedToken",
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "eot_token": "▁<EOT>",
28
+ "fill_token": "<FILL_ME>",
29
+ "legacy": null,
30
+ "middle_token": "▁<MID>",
31
+ "model_max_length": 1000000000000000019884624838656,
32
+ "pad_token": null,
33
+ "padding_side": "left",
34
+ "prefix_token": "▁<PRE>",
35
+ "sp_model_kwargs": {},
36
+ "suffix_first": false,
37
+ "suffix_token": "▁<SUF>",
38
+ "tokenizer_class": "CodeLlamaTokenizer",
39
+ "unk_token": {
40
+ "__type": "AddedToken",
41
+ "content": "<unk>",
42
+ "lstrip": false,
43
+ "normalized": true,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ },
47
+ "use_default_system_prompt": false
48
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "train_loss": 0.4101460447038436,
4
+ "train_runtime": 17896.4424,
5
+ "train_samples_per_second": 31.986,
6
+ "train_steps_per_second": 0.125
7
+ }
trainer_log.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
trainer_state.json ADDED
@@ -0,0 +1,1366 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9991059454626732,
5
+ "eval_steps": 500,
6
+ "global_step": 2236,
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": 4.999753248946441e-05,
14
+ "loss": 0.628,
15
+ "step": 10
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 4.9990130444946295e-05,
20
+ "loss": 0.5662,
21
+ "step": 20
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 4.997779532761549e-05,
26
+ "loss": 0.5459,
27
+ "step": 30
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 4.9960529572434545e-05,
32
+ "loss": 0.5417,
33
+ "step": 40
34
+ },
35
+ {
36
+ "epoch": 0.04,
37
+ "learning_rate": 4.993833658767808e-05,
38
+ "loss": 0.5236,
39
+ "step": 50
40
+ },
41
+ {
42
+ "epoch": 0.05,
43
+ "learning_rate": 4.991122075426001e-05,
44
+ "loss": 0.5265,
45
+ "step": 60
46
+ },
47
+ {
48
+ "epoch": 0.06,
49
+ "learning_rate": 4.987918742486869e-05,
50
+ "loss": 0.5276,
51
+ "step": 70
52
+ },
53
+ {
54
+ "epoch": 0.07,
55
+ "learning_rate": 4.9842242922910345e-05,
56
+ "loss": 0.515,
57
+ "step": 80
58
+ },
59
+ {
60
+ "epoch": 0.08,
61
+ "learning_rate": 4.98003945412608e-05,
62
+ "loss": 0.5312,
63
+ "step": 90
64
+ },
65
+ {
66
+ "epoch": 0.09,
67
+ "learning_rate": 4.9753650540825855e-05,
68
+ "loss": 0.5265,
69
+ "step": 100
70
+ },
71
+ {
72
+ "epoch": 0.1,
73
+ "learning_rate": 4.970202014891062e-05,
74
+ "loss": 0.5125,
75
+ "step": 110
76
+ },
77
+ {
78
+ "epoch": 0.11,
79
+ "learning_rate": 4.964551355739795e-05,
80
+ "loss": 0.5094,
81
+ "step": 120
82
+ },
83
+ {
84
+ "epoch": 0.12,
85
+ "learning_rate": 4.9584141920736656e-05,
86
+ "loss": 0.5034,
87
+ "step": 130
88
+ },
89
+ {
90
+ "epoch": 0.13,
91
+ "learning_rate": 4.951791735373953e-05,
92
+ "loss": 0.5204,
93
+ "step": 140
94
+ },
95
+ {
96
+ "epoch": 0.13,
97
+ "learning_rate": 4.944685292919191e-05,
98
+ "loss": 0.5144,
99
+ "step": 150
100
+ },
101
+ {
102
+ "epoch": 0.14,
103
+ "learning_rate": 4.9370962675271106e-05,
104
+ "loss": 0.4956,
105
+ "step": 160
106
+ },
107
+ {
108
+ "epoch": 0.15,
109
+ "learning_rate": 4.92902615727772e-05,
110
+ "loss": 0.5074,
111
+ "step": 170
112
+ },
113
+ {
114
+ "epoch": 0.16,
115
+ "learning_rate": 4.9204765552175857e-05,
116
+ "loss": 0.5023,
117
+ "step": 180
118
+ },
119
+ {
120
+ "epoch": 0.17,
121
+ "learning_rate": 4.9114491490453585e-05,
122
+ "loss": 0.5177,
123
+ "step": 190
124
+ },
125
+ {
126
+ "epoch": 0.18,
127
+ "learning_rate": 4.9019457207786265e-05,
128
+ "loss": 0.5178,
129
+ "step": 200
130
+ },
131
+ {
132
+ "epoch": 0.19,
133
+ "learning_rate": 4.89196814640214e-05,
134
+ "loss": 0.5022,
135
+ "step": 210
136
+ },
137
+ {
138
+ "epoch": 0.2,
139
+ "learning_rate": 4.8815183954974896e-05,
140
+ "loss": 0.5066,
141
+ "step": 220
142
+ },
143
+ {
144
+ "epoch": 0.21,
145
+ "learning_rate": 4.870598530854312e-05,
146
+ "loss": 0.5028,
147
+ "step": 230
148
+ },
149
+ {
150
+ "epoch": 0.21,
151
+ "learning_rate": 4.859210708063091e-05,
152
+ "loss": 0.4971,
153
+ "step": 240
154
+ },
155
+ {
156
+ "epoch": 0.22,
157
+ "learning_rate": 4.847357175089643e-05,
158
+ "loss": 0.5065,
159
+ "step": 250
160
+ },
161
+ {
162
+ "epoch": 0.23,
163
+ "learning_rate": 4.83504027183137e-05,
164
+ "loss": 0.4965,
165
+ "step": 260
166
+ },
167
+ {
168
+ "epoch": 0.24,
169
+ "learning_rate": 4.8222624296553554e-05,
170
+ "loss": 0.4937,
171
+ "step": 270
172
+ },
173
+ {
174
+ "epoch": 0.25,
175
+ "learning_rate": 4.809026170918414e-05,
176
+ "loss": 0.5061,
177
+ "step": 280
178
+ },
179
+ {
180
+ "epoch": 0.26,
181
+ "learning_rate": 4.795334108469176e-05,
182
+ "loss": 0.4951,
183
+ "step": 290
184
+ },
185
+ {
186
+ "epoch": 0.27,
187
+ "learning_rate": 4.7811889451323114e-05,
188
+ "loss": 0.4969,
189
+ "step": 300
190
+ },
191
+ {
192
+ "epoch": 0.28,
193
+ "learning_rate": 4.7665934731749825e-05,
194
+ "loss": 0.5059,
195
+ "step": 310
196
+ },
197
+ {
198
+ "epoch": 0.29,
199
+ "learning_rate": 4.751550573755658e-05,
200
+ "loss": 0.5028,
201
+ "step": 320
202
+ },
203
+ {
204
+ "epoch": 0.3,
205
+ "learning_rate": 4.7360632163553595e-05,
206
+ "loss": 0.4964,
207
+ "step": 330
208
+ },
209
+ {
210
+ "epoch": 0.3,
211
+ "learning_rate": 4.720134458191494e-05,
212
+ "loss": 0.498,
213
+ "step": 340
214
+ },
215
+ {
216
+ "epoch": 0.31,
217
+ "learning_rate": 4.7037674436143466e-05,
218
+ "loss": 0.5048,
219
+ "step": 350
220
+ },
221
+ {
222
+ "epoch": 0.32,
223
+ "learning_rate": 4.68696540348639e-05,
224
+ "loss": 0.4885,
225
+ "step": 360
226
+ },
227
+ {
228
+ "epoch": 0.33,
229
+ "learning_rate": 4.669731654544508e-05,
230
+ "loss": 0.4973,
231
+ "step": 370
232
+ },
233
+ {
234
+ "epoch": 0.34,
235
+ "learning_rate": 4.652069598745267e-05,
236
+ "loss": 0.4944,
237
+ "step": 380
238
+ },
239
+ {
240
+ "epoch": 0.35,
241
+ "learning_rate": 4.6339827225933665e-05,
242
+ "loss": 0.4928,
243
+ "step": 390
244
+ },
245
+ {
246
+ "epoch": 0.36,
247
+ "learning_rate": 4.615474596453405e-05,
248
+ "loss": 0.5037,
249
+ "step": 400
250
+ },
251
+ {
252
+ "epoch": 0.37,
253
+ "learning_rate": 4.596548873845081e-05,
254
+ "loss": 0.4887,
255
+ "step": 410
256
+ },
257
+ {
258
+ "epoch": 0.38,
259
+ "learning_rate": 4.577209290721991e-05,
260
+ "loss": 0.4863,
261
+ "step": 420
262
+ },
263
+ {
264
+ "epoch": 0.38,
265
+ "learning_rate": 4.557459664734141e-05,
266
+ "loss": 0.4919,
267
+ "step": 430
268
+ },
269
+ {
270
+ "epoch": 0.39,
271
+ "learning_rate": 4.537303894474349e-05,
272
+ "loss": 0.506,
273
+ "step": 440
274
+ },
275
+ {
276
+ "epoch": 0.4,
277
+ "learning_rate": 4.516745958708652e-05,
278
+ "loss": 0.4934,
279
+ "step": 450
280
+ },
281
+ {
282
+ "epoch": 0.41,
283
+ "learning_rate": 4.495789915590895e-05,
284
+ "loss": 0.4835,
285
+ "step": 460
286
+ },
287
+ {
288
+ "epoch": 0.42,
289
+ "learning_rate": 4.4744399018616566e-05,
290
+ "loss": 0.4938,
291
+ "step": 470
292
+ },
293
+ {
294
+ "epoch": 0.43,
295
+ "learning_rate": 4.452700132031638e-05,
296
+ "loss": 0.5026,
297
+ "step": 480
298
+ },
299
+ {
300
+ "epoch": 0.44,
301
+ "learning_rate": 4.4305748975497294e-05,
302
+ "loss": 0.4907,
303
+ "step": 490
304
+ },
305
+ {
306
+ "epoch": 0.45,
307
+ "learning_rate": 4.408068565955865e-05,
308
+ "loss": 0.496,
309
+ "step": 500
310
+ },
311
+ {
312
+ "epoch": 0.46,
313
+ "learning_rate": 4.385185580018869e-05,
314
+ "loss": 0.4891,
315
+ "step": 510
316
+ },
317
+ {
318
+ "epoch": 0.46,
319
+ "learning_rate": 4.361930456859455e-05,
320
+ "loss": 0.4824,
321
+ "step": 520
322
+ },
323
+ {
324
+ "epoch": 0.47,
325
+ "learning_rate": 4.3383077870585334e-05,
326
+ "loss": 0.4769,
327
+ "step": 530
328
+ },
329
+ {
330
+ "epoch": 0.48,
331
+ "learning_rate": 4.314322233751034e-05,
332
+ "loss": 0.4891,
333
+ "step": 540
334
+ },
335
+ {
336
+ "epoch": 0.49,
337
+ "learning_rate": 4.289978531705395e-05,
338
+ "loss": 0.4834,
339
+ "step": 550
340
+ },
341
+ {
342
+ "epoch": 0.5,
343
+ "learning_rate": 4.26528148638892e-05,
344
+ "loss": 0.5031,
345
+ "step": 560
346
+ },
347
+ {
348
+ "epoch": 0.51,
349
+ "learning_rate": 4.240235973019168e-05,
350
+ "loss": 0.4912,
351
+ "step": 570
352
+ },
353
+ {
354
+ "epoch": 0.52,
355
+ "learning_rate": 4.2148469356015896e-05,
356
+ "loss": 0.4831,
357
+ "step": 580
358
+ },
359
+ {
360
+ "epoch": 0.53,
361
+ "learning_rate": 4.1891193859535686e-05,
362
+ "loss": 0.4879,
363
+ "step": 590
364
+ },
365
+ {
366
+ "epoch": 0.54,
367
+ "learning_rate": 4.163058402715091e-05,
368
+ "loss": 0.5044,
369
+ "step": 600
370
+ },
371
+ {
372
+ "epoch": 0.55,
373
+ "learning_rate": 4.1366691303462144e-05,
374
+ "loss": 0.4842,
375
+ "step": 610
376
+ },
377
+ {
378
+ "epoch": 0.55,
379
+ "learning_rate": 4.109956778111544e-05,
380
+ "loss": 0.4874,
381
+ "step": 620
382
+ },
383
+ {
384
+ "epoch": 0.56,
385
+ "learning_rate": 4.0829266190519264e-05,
386
+ "loss": 0.4894,
387
+ "step": 630
388
+ },
389
+ {
390
+ "epoch": 0.57,
391
+ "learning_rate": 4.0555839889435446e-05,
392
+ "loss": 0.4954,
393
+ "step": 640
394
+ },
395
+ {
396
+ "epoch": 0.58,
397
+ "learning_rate": 4.0279342852446234e-05,
398
+ "loss": 0.4685,
399
+ "step": 650
400
+ },
401
+ {
402
+ "epoch": 0.59,
403
+ "learning_rate": 3.9999829660299806e-05,
404
+ "loss": 0.4877,
405
+ "step": 660
406
+ },
407
+ {
408
+ "epoch": 0.6,
409
+ "learning_rate": 3.971735548913586e-05,
410
+ "loss": 0.4828,
411
+ "step": 670
412
+ },
413
+ {
414
+ "epoch": 0.61,
415
+ "learning_rate": 3.9431976099593896e-05,
416
+ "loss": 0.482,
417
+ "step": 680
418
+ },
419
+ {
420
+ "epoch": 0.62,
421
+ "learning_rate": 3.914374782580591e-05,
422
+ "loss": 0.4777,
423
+ "step": 690
424
+ },
425
+ {
426
+ "epoch": 0.63,
427
+ "learning_rate": 3.8852727564276086e-05,
428
+ "loss": 0.4825,
429
+ "step": 700
430
+ },
431
+ {
432
+ "epoch": 0.63,
433
+ "learning_rate": 3.855897276264934e-05,
434
+ "loss": 0.4777,
435
+ "step": 710
436
+ },
437
+ {
438
+ "epoch": 0.64,
439
+ "learning_rate": 3.826254140837111e-05,
440
+ "loss": 0.4712,
441
+ "step": 720
442
+ },
443
+ {
444
+ "epoch": 0.65,
445
+ "learning_rate": 3.796349201724058e-05,
446
+ "loss": 0.4844,
447
+ "step": 730
448
+ },
449
+ {
450
+ "epoch": 0.66,
451
+ "learning_rate": 3.7661883621859585e-05,
452
+ "loss": 0.4587,
453
+ "step": 740
454
+ },
455
+ {
456
+ "epoch": 0.67,
457
+ "learning_rate": 3.7357775759979605e-05,
458
+ "loss": 0.4757,
459
+ "step": 750
460
+ },
461
+ {
462
+ "epoch": 0.68,
463
+ "learning_rate": 3.705122846274889e-05,
464
+ "loss": 0.4869,
465
+ "step": 760
466
+ },
467
+ {
468
+ "epoch": 0.69,
469
+ "learning_rate": 3.6742302242862284e-05,
470
+ "loss": 0.4748,
471
+ "step": 770
472
+ },
473
+ {
474
+ "epoch": 0.7,
475
+ "learning_rate": 3.6431058082615964e-05,
476
+ "loss": 0.4735,
477
+ "step": 780
478
+ },
479
+ {
480
+ "epoch": 0.71,
481
+ "learning_rate": 3.6117557421869506e-05,
482
+ "loss": 0.4757,
483
+ "step": 790
484
+ },
485
+ {
486
+ "epoch": 0.72,
487
+ "learning_rate": 3.580186214591756e-05,
488
+ "loss": 0.4922,
489
+ "step": 800
490
+ },
491
+ {
492
+ "epoch": 0.72,
493
+ "learning_rate": 3.54840345732737e-05,
494
+ "loss": 0.4935,
495
+ "step": 810
496
+ },
497
+ {
498
+ "epoch": 0.73,
499
+ "learning_rate": 3.516413744336863e-05,
500
+ "loss": 0.4774,
501
+ "step": 820
502
+ },
503
+ {
504
+ "epoch": 0.74,
505
+ "learning_rate": 3.484223390416543e-05,
506
+ "loss": 0.4794,
507
+ "step": 830
508
+ },
509
+ {
510
+ "epoch": 0.75,
511
+ "learning_rate": 3.451838749969404e-05,
512
+ "loss": 0.4652,
513
+ "step": 840
514
+ },
515
+ {
516
+ "epoch": 0.76,
517
+ "learning_rate": 3.419266215750767e-05,
518
+ "loss": 0.459,
519
+ "step": 850
520
+ },
521
+ {
522
+ "epoch": 0.77,
523
+ "learning_rate": 3.386512217606339e-05,
524
+ "loss": 0.4768,
525
+ "step": 860
526
+ },
527
+ {
528
+ "epoch": 0.78,
529
+ "learning_rate": 3.353583221202962e-05,
530
+ "loss": 0.4633,
531
+ "step": 870
532
+ },
533
+ {
534
+ "epoch": 0.79,
535
+ "learning_rate": 3.320485726752278e-05,
536
+ "loss": 0.4712,
537
+ "step": 880
538
+ },
539
+ {
540
+ "epoch": 0.8,
541
+ "learning_rate": 3.2872262677275906e-05,
542
+ "loss": 0.4822,
543
+ "step": 890
544
+ },
545
+ {
546
+ "epoch": 0.8,
547
+ "learning_rate": 3.253811409574141e-05,
548
+ "loss": 0.4576,
549
+ "step": 900
550
+ },
551
+ {
552
+ "epoch": 0.81,
553
+ "learning_rate": 3.220247748413094e-05,
554
+ "loss": 0.4772,
555
+ "step": 910
556
+ },
557
+ {
558
+ "epoch": 0.82,
559
+ "learning_rate": 3.186541909739452e-05,
560
+ "loss": 0.4672,
561
+ "step": 920
562
+ },
563
+ {
564
+ "epoch": 0.83,
565
+ "learning_rate": 3.152700547114177e-05,
566
+ "loss": 0.4766,
567
+ "step": 930
568
+ },
569
+ {
570
+ "epoch": 0.84,
571
+ "learning_rate": 3.118730340850774e-05,
572
+ "loss": 0.4749,
573
+ "step": 940
574
+ },
575
+ {
576
+ "epoch": 0.85,
577
+ "learning_rate": 3.084637996696592e-05,
578
+ "loss": 0.4804,
579
+ "step": 950
580
+ },
581
+ {
582
+ "epoch": 0.86,
583
+ "learning_rate": 3.0504302445091027e-05,
584
+ "loss": 0.4744,
585
+ "step": 960
586
+ },
587
+ {
588
+ "epoch": 0.87,
589
+ "learning_rate": 3.0161138369274177e-05,
590
+ "loss": 0.4744,
591
+ "step": 970
592
+ },
593
+ {
594
+ "epoch": 0.88,
595
+ "learning_rate": 2.9816955480393187e-05,
596
+ "loss": 0.4778,
597
+ "step": 980
598
+ },
599
+ {
600
+ "epoch": 0.89,
601
+ "learning_rate": 2.9471821720440406e-05,
602
+ "loss": 0.4569,
603
+ "step": 990
604
+ },
605
+ {
606
+ "epoch": 0.89,
607
+ "learning_rate": 2.9125805219110952e-05,
608
+ "loss": 0.454,
609
+ "step": 1000
610
+ },
611
+ {
612
+ "epoch": 0.9,
613
+ "learning_rate": 2.8778974280353817e-05,
614
+ "loss": 0.4821,
615
+ "step": 1010
616
+ },
617
+ {
618
+ "epoch": 0.91,
619
+ "learning_rate": 2.843139736888864e-05,
620
+ "loss": 0.4607,
621
+ "step": 1020
622
+ },
623
+ {
624
+ "epoch": 0.92,
625
+ "learning_rate": 2.80831430966907e-05,
626
+ "loss": 0.4812,
627
+ "step": 1030
628
+ },
629
+ {
630
+ "epoch": 0.93,
631
+ "learning_rate": 2.7734280209446865e-05,
632
+ "loss": 0.4596,
633
+ "step": 1040
634
+ },
635
+ {
636
+ "epoch": 0.94,
637
+ "learning_rate": 2.7384877572985096e-05,
638
+ "loss": 0.4683,
639
+ "step": 1050
640
+ },
641
+ {
642
+ "epoch": 0.95,
643
+ "learning_rate": 2.7035004159680332e-05,
644
+ "loss": 0.4466,
645
+ "step": 1060
646
+ },
647
+ {
648
+ "epoch": 0.96,
649
+ "learning_rate": 2.668472903483925e-05,
650
+ "loss": 0.4649,
651
+ "step": 1070
652
+ },
653
+ {
654
+ "epoch": 0.97,
655
+ "learning_rate": 2.633412134306672e-05,
656
+ "loss": 0.4617,
657
+ "step": 1080
658
+ },
659
+ {
660
+ "epoch": 0.97,
661
+ "learning_rate": 2.5983250294616618e-05,
662
+ "loss": 0.4658,
663
+ "step": 1090
664
+ },
665
+ {
666
+ "epoch": 0.98,
667
+ "learning_rate": 2.5632185151729616e-05,
668
+ "loss": 0.4611,
669
+ "step": 1100
670
+ },
671
+ {
672
+ "epoch": 0.99,
673
+ "learning_rate": 2.5280995214960835e-05,
674
+ "loss": 0.46,
675
+ "step": 1110
676
+ },
677
+ {
678
+ "epoch": 1.0,
679
+ "learning_rate": 2.4929749809499786e-05,
680
+ "loss": 0.447,
681
+ "step": 1120
682
+ },
683
+ {
684
+ "epoch": 1.01,
685
+ "learning_rate": 2.457851827148554e-05,
686
+ "loss": 0.3428,
687
+ "step": 1130
688
+ },
689
+ {
690
+ "epoch": 1.02,
691
+ "learning_rate": 2.422736993431976e-05,
692
+ "loss": 0.3427,
693
+ "step": 1140
694
+ },
695
+ {
696
+ "epoch": 1.03,
697
+ "learning_rate": 2.387637411498015e-05,
698
+ "loss": 0.3301,
699
+ "step": 1150
700
+ },
701
+ {
702
+ "epoch": 1.04,
703
+ "learning_rate": 2.3525600100337294e-05,
704
+ "loss": 0.3374,
705
+ "step": 1160
706
+ },
707
+ {
708
+ "epoch": 1.05,
709
+ "learning_rate": 2.3175117133477313e-05,
710
+ "loss": 0.334,
711
+ "step": 1170
712
+ },
713
+ {
714
+ "epoch": 1.05,
715
+ "learning_rate": 2.282499440003329e-05,
716
+ "loss": 0.3284,
717
+ "step": 1180
718
+ },
719
+ {
720
+ "epoch": 1.06,
721
+ "learning_rate": 2.2475301014527897e-05,
722
+ "loss": 0.3337,
723
+ "step": 1190
724
+ },
725
+ {
726
+ "epoch": 1.07,
727
+ "learning_rate": 2.212610600673017e-05,
728
+ "loss": 0.3415,
729
+ "step": 1200
730
+ },
731
+ {
732
+ "epoch": 1.08,
733
+ "learning_rate": 2.1777478308028965e-05,
734
+ "loss": 0.3379,
735
+ "step": 1210
736
+ },
737
+ {
738
+ "epoch": 1.09,
739
+ "learning_rate": 2.1429486737825854e-05,
740
+ "loss": 0.3379,
741
+ "step": 1220
742
+ },
743
+ {
744
+ "epoch": 1.1,
745
+ "learning_rate": 2.1082199989950093e-05,
746
+ "loss": 0.3433,
747
+ "step": 1230
748
+ },
749
+ {
750
+ "epoch": 1.11,
751
+ "learning_rate": 2.073568661909842e-05,
752
+ "loss": 0.3424,
753
+ "step": 1240
754
+ },
755
+ {
756
+ "epoch": 1.12,
757
+ "learning_rate": 2.03900150273023e-05,
758
+ "loss": 0.3275,
759
+ "step": 1250
760
+ },
761
+ {
762
+ "epoch": 1.13,
763
+ "learning_rate": 2.004525345042531e-05,
764
+ "loss": 0.3354,
765
+ "step": 1260
766
+ },
767
+ {
768
+ "epoch": 1.14,
769
+ "learning_rate": 1.9701469944693298e-05,
770
+ "loss": 0.33,
771
+ "step": 1270
772
+ },
773
+ {
774
+ "epoch": 1.14,
775
+ "learning_rate": 1.9358732373260056e-05,
776
+ "loss": 0.3384,
777
+ "step": 1280
778
+ },
779
+ {
780
+ "epoch": 1.15,
781
+ "learning_rate": 1.9017108392811065e-05,
782
+ "loss": 0.347,
783
+ "step": 1290
784
+ },
785
+ {
786
+ "epoch": 1.16,
787
+ "learning_rate": 1.867666544020798e-05,
788
+ "loss": 0.3299,
789
+ "step": 1300
790
+ },
791
+ {
792
+ "epoch": 1.17,
793
+ "learning_rate": 1.833747071917662e-05,
794
+ "loss": 0.3378,
795
+ "step": 1310
796
+ },
797
+ {
798
+ "epoch": 1.18,
799
+ "learning_rate": 1.799959118704078e-05,
800
+ "loss": 0.3388,
801
+ "step": 1320
802
+ },
803
+ {
804
+ "epoch": 1.19,
805
+ "learning_rate": 1.7663093541504905e-05,
806
+ "loss": 0.337,
807
+ "step": 1330
808
+ },
809
+ {
810
+ "epoch": 1.2,
811
+ "learning_rate": 1.732804420748781e-05,
812
+ "loss": 0.3369,
813
+ "step": 1340
814
+ },
815
+ {
816
+ "epoch": 1.21,
817
+ "learning_rate": 1.6994509324010457e-05,
818
+ "loss": 0.3215,
819
+ "step": 1350
820
+ },
821
+ {
822
+ "epoch": 1.22,
823
+ "learning_rate": 1.6662554731139944e-05,
824
+ "loss": 0.3332,
825
+ "step": 1360
826
+ },
827
+ {
828
+ "epoch": 1.22,
829
+ "learning_rate": 1.6332245956992703e-05,
830
+ "loss": 0.3336,
831
+ "step": 1370
832
+ },
833
+ {
834
+ "epoch": 1.23,
835
+ "learning_rate": 1.600364820479914e-05,
836
+ "loss": 0.3324,
837
+ "step": 1380
838
+ },
839
+ {
840
+ "epoch": 1.24,
841
+ "learning_rate": 1.56768263400325e-05,
842
+ "loss": 0.3397,
843
+ "step": 1390
844
+ },
845
+ {
846
+ "epoch": 1.25,
847
+ "learning_rate": 1.5351844877604353e-05,
848
+ "loss": 0.3422,
849
+ "step": 1400
850
+ },
851
+ {
852
+ "epoch": 1.26,
853
+ "learning_rate": 1.5028767969129288e-05,
854
+ "loss": 0.3184,
855
+ "step": 1410
856
+ },
857
+ {
858
+ "epoch": 1.27,
859
+ "learning_rate": 1.4707659390261336e-05,
860
+ "loss": 0.3234,
861
+ "step": 1420
862
+ },
863
+ {
864
+ "epoch": 1.28,
865
+ "learning_rate": 1.4388582528104628e-05,
866
+ "loss": 0.3268,
867
+ "step": 1430
868
+ },
869
+ {
870
+ "epoch": 1.29,
871
+ "learning_rate": 1.4071600368700668e-05,
872
+ "loss": 0.3434,
873
+ "step": 1440
874
+ },
875
+ {
876
+ "epoch": 1.3,
877
+ "learning_rate": 1.3756775484594896e-05,
878
+ "loss": 0.332,
879
+ "step": 1450
880
+ },
881
+ {
882
+ "epoch": 1.31,
883
+ "learning_rate": 1.3444170022484803e-05,
884
+ "loss": 0.3354,
885
+ "step": 1460
886
+ },
887
+ {
888
+ "epoch": 1.31,
889
+ "learning_rate": 1.3133845690952045e-05,
890
+ "loss": 0.3388,
891
+ "step": 1470
892
+ },
893
+ {
894
+ "epoch": 1.32,
895
+ "learning_rate": 1.282586374828127e-05,
896
+ "loss": 0.3337,
897
+ "step": 1480
898
+ },
899
+ {
900
+ "epoch": 1.33,
901
+ "learning_rate": 1.2520284990367514e-05,
902
+ "loss": 0.3426,
903
+ "step": 1490
904
+ },
905
+ {
906
+ "epoch": 1.34,
907
+ "learning_rate": 1.2217169738715162e-05,
908
+ "loss": 0.342,
909
+ "step": 1500
910
+ },
911
+ {
912
+ "epoch": 1.35,
913
+ "learning_rate": 1.191657782853034e-05,
914
+ "loss": 0.3303,
915
+ "step": 1510
916
+ },
917
+ {
918
+ "epoch": 1.36,
919
+ "learning_rate": 1.1618568596909512e-05,
920
+ "loss": 0.347,
921
+ "step": 1520
922
+ },
923
+ {
924
+ "epoch": 1.37,
925
+ "learning_rate": 1.132320087112615e-05,
926
+ "loss": 0.3322,
927
+ "step": 1530
928
+ },
929
+ {
930
+ "epoch": 1.38,
931
+ "learning_rate": 1.1030532957018288e-05,
932
+ "loss": 0.3295,
933
+ "step": 1540
934
+ },
935
+ {
936
+ "epoch": 1.39,
937
+ "learning_rate": 1.0740622627478821e-05,
938
+ "loss": 0.3266,
939
+ "step": 1550
940
+ },
941
+ {
942
+ "epoch": 1.39,
943
+ "learning_rate": 1.0453527111051184e-05,
944
+ "loss": 0.3329,
945
+ "step": 1560
946
+ },
947
+ {
948
+ "epoch": 1.4,
949
+ "learning_rate": 1.0169303080632272e-05,
950
+ "loss": 0.332,
951
+ "step": 1570
952
+ },
953
+ {
954
+ "epoch": 1.41,
955
+ "learning_rate": 9.888006642285255e-06,
956
+ "loss": 0.332,
957
+ "step": 1580
958
+ },
959
+ {
960
+ "epoch": 1.42,
961
+ "learning_rate": 9.609693324164154e-06,
962
+ "loss": 0.3414,
963
+ "step": 1590
964
+ },
965
+ {
966
+ "epoch": 1.43,
967
+ "learning_rate": 9.334418065552538e-06,
968
+ "loss": 0.3216,
969
+ "step": 1600
970
+ },
971
+ {
972
+ "epoch": 1.44,
973
+ "learning_rate": 9.062235206018488e-06,
974
+ "loss": 0.3367,
975
+ "step": 1610
976
+ },
977
+ {
978
+ "epoch": 1.45,
979
+ "learning_rate": 8.79319847468786e-06,
980
+ "loss": 0.3288,
981
+ "step": 1620
982
+ },
983
+ {
984
+ "epoch": 1.46,
985
+ "learning_rate": 8.527360979638196e-06,
986
+ "loss": 0.3208,
987
+ "step": 1630
988
+ },
989
+ {
990
+ "epoch": 1.47,
991
+ "learning_rate": 8.264775197415053e-06,
992
+ "loss": 0.3228,
993
+ "step": 1640
994
+ },
995
+ {
996
+ "epoch": 1.48,
997
+ "learning_rate": 8.005492962673197e-06,
998
+ "loss": 0.3225,
999
+ "step": 1650
1000
+ },
1001
+ {
1002
+ "epoch": 1.48,
1003
+ "learning_rate": 7.749565457944274e-06,
1004
+ "loss": 0.3279,
1005
+ "step": 1660
1006
+ },
1007
+ {
1008
+ "epoch": 1.49,
1009
+ "learning_rate": 7.497043203533444e-06,
1010
+ "loss": 0.3311,
1011
+ "step": 1670
1012
+ },
1013
+ {
1014
+ "epoch": 1.5,
1015
+ "learning_rate": 7.2479760475465395e-06,
1016
+ "loss": 0.3282,
1017
+ "step": 1680
1018
+ },
1019
+ {
1020
+ "epoch": 1.51,
1021
+ "learning_rate": 7.002413156050108e-06,
1022
+ "loss": 0.3332,
1023
+ "step": 1690
1024
+ },
1025
+ {
1026
+ "epoch": 1.52,
1027
+ "learning_rate": 6.760403003365884e-06,
1028
+ "loss": 0.3189,
1029
+ "step": 1700
1030
+ },
1031
+ {
1032
+ "epoch": 1.53,
1033
+ "learning_rate": 6.521993362501988e-06,
1034
+ "loss": 0.321,
1035
+ "step": 1710
1036
+ },
1037
+ {
1038
+ "epoch": 1.54,
1039
+ "learning_rate": 6.28723129572247e-06,
1040
+ "loss": 0.3228,
1041
+ "step": 1720
1042
+ },
1043
+ {
1044
+ "epoch": 1.55,
1045
+ "learning_rate": 6.056163145257187e-06,
1046
+ "loss": 0.3333,
1047
+ "step": 1730
1048
+ },
1049
+ {
1050
+ "epoch": 1.56,
1051
+ "learning_rate": 5.828834524153795e-06,
1052
+ "loss": 0.3315,
1053
+ "step": 1740
1054
+ },
1055
+ {
1056
+ "epoch": 1.56,
1057
+ "learning_rate": 5.605290307273694e-06,
1058
+ "loss": 0.3301,
1059
+ "step": 1750
1060
+ },
1061
+ {
1062
+ "epoch": 1.57,
1063
+ "learning_rate": 5.385574622433714e-06,
1064
+ "loss": 0.3354,
1065
+ "step": 1760
1066
+ },
1067
+ {
1068
+ "epoch": 1.58,
1069
+ "learning_rate": 5.169730841695233e-06,
1070
+ "loss": 0.3304,
1071
+ "step": 1770
1072
+ },
1073
+ {
1074
+ "epoch": 1.59,
1075
+ "learning_rate": 4.9578015728024955e-06,
1076
+ "loss": 0.3322,
1077
+ "step": 1780
1078
+ },
1079
+ {
1080
+ "epoch": 1.6,
1081
+ "learning_rate": 4.7498286507717895e-06,
1082
+ "loss": 0.3265,
1083
+ "step": 1790
1084
+ },
1085
+ {
1086
+ "epoch": 1.61,
1087
+ "learning_rate": 4.545853129633226e-06,
1088
+ "loss": 0.3266,
1089
+ "step": 1800
1090
+ },
1091
+ {
1092
+ "epoch": 1.62,
1093
+ "learning_rate": 4.345915274326595e-06,
1094
+ "loss": 0.323,
1095
+ "step": 1810
1096
+ },
1097
+ {
1098
+ "epoch": 1.63,
1099
+ "learning_rate": 4.150054552753055e-06,
1100
+ "loss": 0.3178,
1101
+ "step": 1820
1102
+ },
1103
+ {
1104
+ "epoch": 1.64,
1105
+ "learning_rate": 3.958309627984116e-06,
1106
+ "loss": 0.3246,
1107
+ "step": 1830
1108
+ },
1109
+ {
1110
+ "epoch": 1.65,
1111
+ "learning_rate": 3.770718350629543e-06,
1112
+ "loss": 0.336,
1113
+ "step": 1840
1114
+ },
1115
+ {
1116
+ "epoch": 1.65,
1117
+ "learning_rate": 3.5873177513655985e-06,
1118
+ "loss": 0.3173,
1119
+ "step": 1850
1120
+ },
1121
+ {
1122
+ "epoch": 1.66,
1123
+ "learning_rate": 3.408144033625163e-06,
1124
+ "loss": 0.3267,
1125
+ "step": 1860
1126
+ },
1127
+ {
1128
+ "epoch": 1.67,
1129
+ "learning_rate": 3.233232566451119e-06,
1130
+ "loss": 0.3354,
1131
+ "step": 1870
1132
+ },
1133
+ {
1134
+ "epoch": 1.68,
1135
+ "learning_rate": 3.0626178775145175e-06,
1136
+ "loss": 0.3289,
1137
+ "step": 1880
1138
+ },
1139
+ {
1140
+ "epoch": 1.69,
1141
+ "learning_rate": 2.89633364629876e-06,
1142
+ "loss": 0.3208,
1143
+ "step": 1890
1144
+ },
1145
+ {
1146
+ "epoch": 1.7,
1147
+ "learning_rate": 2.734412697451236e-06,
1148
+ "loss": 0.3338,
1149
+ "step": 1900
1150
+ },
1151
+ {
1152
+ "epoch": 1.71,
1153
+ "learning_rate": 2.576886994303729e-06,
1154
+ "loss": 0.3123,
1155
+ "step": 1910
1156
+ },
1157
+ {
1158
+ "epoch": 1.72,
1159
+ "learning_rate": 2.4237876325628017e-06,
1160
+ "loss": 0.326,
1161
+ "step": 1920
1162
+ },
1163
+ {
1164
+ "epoch": 1.73,
1165
+ "learning_rate": 2.2751448341715083e-06,
1166
+ "loss": 0.3196,
1167
+ "step": 1930
1168
+ },
1169
+ {
1170
+ "epoch": 1.73,
1171
+ "learning_rate": 2.1309879413435292e-06,
1172
+ "loss": 0.3328,
1173
+ "step": 1940
1174
+ },
1175
+ {
1176
+ "epoch": 1.74,
1177
+ "learning_rate": 1.9913454107710173e-06,
1178
+ "loss": 0.3297,
1179
+ "step": 1950
1180
+ },
1181
+ {
1182
+ "epoch": 1.75,
1183
+ "learning_rate": 1.856244808007196e-06,
1184
+ "loss": 0.322,
1185
+ "step": 1960
1186
+ },
1187
+ {
1188
+ "epoch": 1.76,
1189
+ "learning_rate": 1.7257128020249258e-06,
1190
+ "loss": 0.3171,
1191
+ "step": 1970
1192
+ },
1193
+ {
1194
+ "epoch": 1.77,
1195
+ "learning_rate": 1.599775159952205e-06,
1196
+ "loss": 0.3294,
1197
+ "step": 1980
1198
+ },
1199
+ {
1200
+ "epoch": 1.78,
1201
+ "learning_rate": 1.4784567419857314e-06,
1202
+ "loss": 0.3161,
1203
+ "step": 1990
1204
+ },
1205
+ {
1206
+ "epoch": 1.79,
1207
+ "learning_rate": 1.3617814964834523e-06,
1208
+ "loss": 0.3231,
1209
+ "step": 2000
1210
+ },
1211
+ {
1212
+ "epoch": 1.8,
1213
+ "learning_rate": 1.2497724552371747e-06,
1214
+ "loss": 0.3155,
1215
+ "step": 2010
1216
+ },
1217
+ {
1218
+ "epoch": 1.81,
1219
+ "learning_rate": 1.14245172892605e-06,
1220
+ "loss": 0.3147,
1221
+ "step": 2020
1222
+ },
1223
+ {
1224
+ "epoch": 1.81,
1225
+ "learning_rate": 1.0398405027519016e-06,
1226
+ "loss": 0.3138,
1227
+ "step": 2030
1228
+ },
1229
+ {
1230
+ "epoch": 1.82,
1231
+ "learning_rate": 9.419590322572725e-07,
1232
+ "loss": 0.3254,
1233
+ "step": 2040
1234
+ },
1235
+ {
1236
+ "epoch": 1.83,
1237
+ "learning_rate": 8.488266393269245e-07,
1238
+ "loss": 0.3178,
1239
+ "step": 2050
1240
+ },
1241
+ {
1242
+ "epoch": 1.84,
1243
+ "learning_rate": 7.60461708373722e-07,
1244
+ "loss": 0.3288,
1245
+ "step": 2060
1246
+ },
1247
+ {
1248
+ "epoch": 1.85,
1249
+ "learning_rate": 6.768816827095182e-07,
1250
+ "loss": 0.3197,
1251
+ "step": 2070
1252
+ },
1253
+ {
1254
+ "epoch": 1.86,
1255
+ "learning_rate": 5.981030611018234e-07,
1256
+ "loss": 0.3131,
1257
+ "step": 2080
1258
+ },
1259
+ {
1260
+ "epoch": 1.87,
1261
+ "learning_rate": 5.24141394516936e-07,
1262
+ "loss": 0.3215,
1263
+ "step": 2090
1264
+ },
1265
+ {
1266
+ "epoch": 1.88,
1267
+ "learning_rate": 4.5501128305018013e-07,
1268
+ "loss": 0.3252,
1269
+ "step": 2100
1270
+ },
1271
+ {
1272
+ "epoch": 1.89,
1273
+ "learning_rate": 3.9072637304383155e-07,
1274
+ "loss": 0.3249,
1275
+ "step": 2110
1276
+ },
1277
+ {
1278
+ "epoch": 1.9,
1279
+ "learning_rate": 3.312993543933024e-07,
1280
+ "loss": 0.3242,
1281
+ "step": 2120
1282
+ },
1283
+ {
1284
+ "epoch": 1.9,
1285
+ "learning_rate": 2.767419580421593e-07,
1286
+ "loss": 0.3311,
1287
+ "step": 2130
1288
+ },
1289
+ {
1290
+ "epoch": 1.91,
1291
+ "learning_rate": 2.2706495366643098e-07,
1292
+ "loss": 0.331,
1293
+ "step": 2140
1294
+ },
1295
+ {
1296
+ "epoch": 1.92,
1297
+ "learning_rate": 1.8227814754865068e-07,
1298
+ "loss": 0.3304,
1299
+ "step": 2150
1300
+ },
1301
+ {
1302
+ "epoch": 1.93,
1303
+ "learning_rate": 1.4239038064209343e-07,
1304
+ "loss": 0.3272,
1305
+ "step": 2160
1306
+ },
1307
+ {
1308
+ "epoch": 1.94,
1309
+ "learning_rate": 1.0740952682556371e-07,
1310
+ "loss": 0.3251,
1311
+ "step": 2170
1312
+ },
1313
+ {
1314
+ "epoch": 1.95,
1315
+ "learning_rate": 7.734249134909166e-08,
1316
+ "loss": 0.323,
1317
+ "step": 2180
1318
+ },
1319
+ {
1320
+ "epoch": 1.96,
1321
+ "learning_rate": 5.2195209470823345e-08,
1322
+ "loss": 0.3255,
1323
+ "step": 2190
1324
+ },
1325
+ {
1326
+ "epoch": 1.97,
1327
+ "learning_rate": 3.197264528539135e-08,
1328
+ "loss": 0.3212,
1329
+ "step": 2200
1330
+ },
1331
+ {
1332
+ "epoch": 1.98,
1333
+ "learning_rate": 1.6678790744015238e-08,
1334
+ "loss": 0.3217,
1335
+ "step": 2210
1336
+ },
1337
+ {
1338
+ "epoch": 1.98,
1339
+ "learning_rate": 6.316664866470867e-09,
1340
+ "loss": 0.3282,
1341
+ "step": 2220
1342
+ },
1343
+ {
1344
+ "epoch": 1.99,
1345
+ "learning_rate": 8.883131451392635e-10,
1346
+ "loss": 0.3183,
1347
+ "step": 2230
1348
+ },
1349
+ {
1350
+ "epoch": 2.0,
1351
+ "step": 2236,
1352
+ "total_flos": 1070648917295104.0,
1353
+ "train_loss": 0.4101460447038436,
1354
+ "train_runtime": 17896.4424,
1355
+ "train_samples_per_second": 31.986,
1356
+ "train_steps_per_second": 0.125
1357
+ }
1358
+ ],
1359
+ "logging_steps": 10,
1360
+ "max_steps": 2236,
1361
+ "num_train_epochs": 2,
1362
+ "save_steps": 500,
1363
+ "total_flos": 1070648917295104.0,
1364
+ "trial_name": null,
1365
+ "trial_params": null
1366
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f5b274e7c12c12bfafb3a7982986931d99bf375bcbbd33c2fcbe0e8c2fa1f31
3
+ size 6075
training_loss.svg ADDED
upload.log ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ nohup: ignoring input
2
+ Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.