chen9154 commited on
Commit
451fd22
·
1 Parent(s): cb4eed9

add pai-qwen1_5-7b-doc2qa model files.

Browse files
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/workspace/qwen2_7b/",
3
+ "architectures": [
4
+ "Qwen2ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 11008,
13
+ "max_position_embeddings": 32768,
14
+ "max_window_layers": 28,
15
+ "model_type": "qwen2",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 32,
19
+ "rms_norm_eps": 1e-06,
20
+ "rope_theta": 1000000.0,
21
+ "sliding_window": 32768,
22
+ "tie_word_embeddings": false,
23
+ "torch_dtype": "bfloat16",
24
+ "transformers_version": "4.37.0",
25
+ "use_cache": true,
26
+ "use_sliding_window": false,
27
+ "vocab_size": 151936
28
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.37.0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:123349d63f4573d94b0503e05741eca5323bafd56b76b9a9ec9bd2ede75ada73
3
+ size 4988482416
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:75582a337e58a4712e1a62a4d99cf04106aae402f396ec65374b9ec29df76b17
3
+ size 4981244328
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dd70e5f6ef42ae3dd293e2794b3f071e04f3bed0e8feb6f3bb9e7c258298474
3
+ size 4228306968
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:746ec044f34a6dce2feb38e21ebbb3b12198b411f7802d0da2c67ea160fe34bd
3
+ size 1244659840
model.safetensors.index.json ADDED
@@ -0,0 +1,394 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15442649088
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
31
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
32
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
43
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
53
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
55
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
65
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
67
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
77
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
79
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
86
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
89
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
91
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
98
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
101
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
103
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
110
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
113
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
115
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
122
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
125
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
127
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
134
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
137
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
139
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
142
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
143
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
144
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
145
+ "model.layers.19.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
146
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
147
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
148
+ "model.layers.19.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
149
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
150
+ "model.layers.19.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
151
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
152
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
153
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
154
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
155
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
156
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
157
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
158
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
159
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
160
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
161
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
162
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
163
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
164
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
165
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
166
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
167
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
168
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
169
+ "model.layers.20.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
170
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
171
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
172
+ "model.layers.20.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
173
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
174
+ "model.layers.20.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
175
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
176
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
179
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.21.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
182
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
183
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
184
+ "model.layers.21.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
185
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
186
+ "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
187
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
188
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
194
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
197
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
199
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
206
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
209
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
211
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
218
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
221
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
223
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
230
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
233
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
235
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
242
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
245
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
247
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
254
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
257
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
259
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
263
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
264
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
265
+ "model.layers.28.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
266
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
267
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
268
+ "model.layers.28.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
269
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
270
+ "model.layers.28.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
271
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
272
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
273
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.29.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
278
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.29.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
281
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.29.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
283
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
287
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
288
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
289
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
290
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
291
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
292
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
293
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
294
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
295
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
296
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
299
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
300
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
301
+ "model.layers.30.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
302
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.30.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
305
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.layers.30.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
307
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
308
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
309
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
310
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
311
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
312
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
313
+ "model.layers.31.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
314
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
315
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
316
+ "model.layers.31.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
317
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
318
+ "model.layers.31.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
319
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
320
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
321
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
322
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
323
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
324
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
325
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
326
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
327
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
328
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
329
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
330
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
331
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
332
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
333
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
334
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
335
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
336
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
337
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
338
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
339
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
340
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
341
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
343
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
344
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
345
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
348
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
349
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
350
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
351
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
353
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
355
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
356
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
357
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
359
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
361
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
362
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
363
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
365
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
366
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
367
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
369
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
370
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
373
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
374
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
375
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
376
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
377
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
378
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
379
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
380
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
381
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
382
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
383
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
384
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
385
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
386
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
388
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
389
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
391
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
392
+ "model.norm.weight": "model-00003-of-00004.safetensors"
393
+ }
394
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 2048,
39
+ "pad_token": "<|endoftext|>",
40
+ "padding_side": "right",
41
+ "split_special_tokens": false,
42
+ "tokenizer_class": "Qwen2Tokenizer",
43
+ "unk_token": null
44
+ }
trainer_state.json ADDED
@@ -0,0 +1,4710 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1560,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 5.128205128205128e-07,
14
+ "loss": 1.2474,
15
+ "step": 2
16
+ },
17
+ {
18
+ "epoch": 0.01,
19
+ "learning_rate": 1.0256410256410257e-06,
20
+ "loss": 1.1588,
21
+ "step": 4
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 1.5384615384615387e-06,
26
+ "loss": 1.1009,
27
+ "step": 6
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 2.0512820512820513e-06,
32
+ "loss": 1.1041,
33
+ "step": 8
34
+ },
35
+ {
36
+ "epoch": 0.01,
37
+ "learning_rate": 2.564102564102564e-06,
38
+ "loss": 1.0571,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.02,
43
+ "learning_rate": 3.0769230769230774e-06,
44
+ "loss": 1.0064,
45
+ "step": 12
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 3.58974358974359e-06,
50
+ "loss": 1.0577,
51
+ "step": 14
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 4.102564102564103e-06,
56
+ "loss": 1.0429,
57
+ "step": 16
58
+ },
59
+ {
60
+ "epoch": 0.02,
61
+ "learning_rate": 4.615384615384616e-06,
62
+ "loss": 1.0566,
63
+ "step": 18
64
+ },
65
+ {
66
+ "epoch": 0.03,
67
+ "learning_rate": 5.128205128205128e-06,
68
+ "loss": 1.025,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.03,
73
+ "learning_rate": 5.641025641025641e-06,
74
+ "loss": 1.0348,
75
+ "step": 22
76
+ },
77
+ {
78
+ "epoch": 0.03,
79
+ "learning_rate": 6.153846153846155e-06,
80
+ "loss": 1.0395,
81
+ "step": 24
82
+ },
83
+ {
84
+ "epoch": 0.03,
85
+ "learning_rate": 6.666666666666667e-06,
86
+ "loss": 1.0705,
87
+ "step": 26
88
+ },
89
+ {
90
+ "epoch": 0.04,
91
+ "learning_rate": 7.17948717948718e-06,
92
+ "loss": 1.0066,
93
+ "step": 28
94
+ },
95
+ {
96
+ "epoch": 0.04,
97
+ "learning_rate": 7.692307692307694e-06,
98
+ "loss": 1.0498,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.04,
103
+ "learning_rate": 8.205128205128205e-06,
104
+ "loss": 1.0381,
105
+ "step": 32
106
+ },
107
+ {
108
+ "epoch": 0.04,
109
+ "learning_rate": 8.717948717948719e-06,
110
+ "loss": 1.0386,
111
+ "step": 34
112
+ },
113
+ {
114
+ "epoch": 0.05,
115
+ "learning_rate": 9.230769230769232e-06,
116
+ "loss": 1.0641,
117
+ "step": 36
118
+ },
119
+ {
120
+ "epoch": 0.05,
121
+ "learning_rate": 9.743589743589744e-06,
122
+ "loss": 1.0387,
123
+ "step": 38
124
+ },
125
+ {
126
+ "epoch": 0.05,
127
+ "learning_rate": 1.0256410256410256e-05,
128
+ "loss": 1.0826,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.05,
133
+ "learning_rate": 1.076923076923077e-05,
134
+ "loss": 1.0797,
135
+ "step": 42
136
+ },
137
+ {
138
+ "epoch": 0.06,
139
+ "learning_rate": 1.1282051282051283e-05,
140
+ "loss": 1.1147,
141
+ "step": 44
142
+ },
143
+ {
144
+ "epoch": 0.06,
145
+ "learning_rate": 1.1794871794871796e-05,
146
+ "loss": 1.0696,
147
+ "step": 46
148
+ },
149
+ {
150
+ "epoch": 0.06,
151
+ "learning_rate": 1.230769230769231e-05,
152
+ "loss": 1.0447,
153
+ "step": 48
154
+ },
155
+ {
156
+ "epoch": 0.06,
157
+ "learning_rate": 1.2820512820512823e-05,
158
+ "loss": 1.0405,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.07,
163
+ "learning_rate": 1.3333333333333333e-05,
164
+ "loss": 1.1069,
165
+ "step": 52
166
+ },
167
+ {
168
+ "epoch": 0.07,
169
+ "learning_rate": 1.3846153846153847e-05,
170
+ "loss": 1.0522,
171
+ "step": 54
172
+ },
173
+ {
174
+ "epoch": 0.07,
175
+ "learning_rate": 1.435897435897436e-05,
176
+ "loss": 1.1448,
177
+ "step": 56
178
+ },
179
+ {
180
+ "epoch": 0.07,
181
+ "learning_rate": 1.4871794871794874e-05,
182
+ "loss": 1.0508,
183
+ "step": 58
184
+ },
185
+ {
186
+ "epoch": 0.08,
187
+ "learning_rate": 1.5384615384615387e-05,
188
+ "loss": 1.1121,
189
+ "step": 60
190
+ },
191
+ {
192
+ "epoch": 0.08,
193
+ "learning_rate": 1.5897435897435897e-05,
194
+ "loss": 1.1292,
195
+ "step": 62
196
+ },
197
+ {
198
+ "epoch": 0.08,
199
+ "learning_rate": 1.641025641025641e-05,
200
+ "loss": 1.1066,
201
+ "step": 64
202
+ },
203
+ {
204
+ "epoch": 0.08,
205
+ "learning_rate": 1.6923076923076924e-05,
206
+ "loss": 1.1084,
207
+ "step": 66
208
+ },
209
+ {
210
+ "epoch": 0.09,
211
+ "learning_rate": 1.7435897435897438e-05,
212
+ "loss": 1.1632,
213
+ "step": 68
214
+ },
215
+ {
216
+ "epoch": 0.09,
217
+ "learning_rate": 1.794871794871795e-05,
218
+ "loss": 1.0844,
219
+ "step": 70
220
+ },
221
+ {
222
+ "epoch": 0.09,
223
+ "learning_rate": 1.8461538461538465e-05,
224
+ "loss": 1.0884,
225
+ "step": 72
226
+ },
227
+ {
228
+ "epoch": 0.09,
229
+ "learning_rate": 1.8974358974358975e-05,
230
+ "loss": 1.1601,
231
+ "step": 74
232
+ },
233
+ {
234
+ "epoch": 0.1,
235
+ "learning_rate": 1.9487179487179488e-05,
236
+ "loss": 1.1705,
237
+ "step": 76
238
+ },
239
+ {
240
+ "epoch": 0.1,
241
+ "learning_rate": 2e-05,
242
+ "loss": 1.1824,
243
+ "step": 78
244
+ },
245
+ {
246
+ "epoch": 0.1,
247
+ "learning_rate": 1.999991012628722e-05,
248
+ "loss": 1.153,
249
+ "step": 80
250
+ },
251
+ {
252
+ "epoch": 0.11,
253
+ "learning_rate": 1.999964050676434e-05,
254
+ "loss": 1.1438,
255
+ "step": 82
256
+ },
257
+ {
258
+ "epoch": 0.11,
259
+ "learning_rate": 1.999919114627769e-05,
260
+ "loss": 1.1805,
261
+ "step": 84
262
+ },
263
+ {
264
+ "epoch": 0.11,
265
+ "learning_rate": 1.999856205290442e-05,
266
+ "loss": 1.137,
267
+ "step": 86
268
+ },
269
+ {
270
+ "epoch": 0.11,
271
+ "learning_rate": 1.999775323795232e-05,
272
+ "loss": 1.1703,
273
+ "step": 88
274
+ },
275
+ {
276
+ "epoch": 0.12,
277
+ "learning_rate": 1.999676471595962e-05,
278
+ "loss": 1.142,
279
+ "step": 90
280
+ },
281
+ {
282
+ "epoch": 0.12,
283
+ "learning_rate": 1.9995596504694764e-05,
284
+ "loss": 1.1743,
285
+ "step": 92
286
+ },
287
+ {
288
+ "epoch": 0.12,
289
+ "learning_rate": 1.999424862515604e-05,
290
+ "loss": 1.1679,
291
+ "step": 94
292
+ },
293
+ {
294
+ "epoch": 0.12,
295
+ "learning_rate": 1.9992721101571238e-05,
296
+ "loss": 1.1924,
297
+ "step": 96
298
+ },
299
+ {
300
+ "epoch": 0.13,
301
+ "learning_rate": 1.99910139613972e-05,
302
+ "loss": 1.1704,
303
+ "step": 98
304
+ },
305
+ {
306
+ "epoch": 0.13,
307
+ "learning_rate": 1.998912723531933e-05,
308
+ "loss": 1.1856,
309
+ "step": 100
310
+ },
311
+ {
312
+ "epoch": 0.13,
313
+ "learning_rate": 1.9987060957251047e-05,
314
+ "loss": 1.1808,
315
+ "step": 102
316
+ },
317
+ {
318
+ "epoch": 0.13,
319
+ "learning_rate": 1.9984815164333163e-05,
320
+ "loss": 1.2127,
321
+ "step": 104
322
+ },
323
+ {
324
+ "epoch": 0.14,
325
+ "learning_rate": 1.998238989693323e-05,
326
+ "loss": 1.2006,
327
+ "step": 106
328
+ },
329
+ {
330
+ "epoch": 0.14,
331
+ "learning_rate": 1.997978519864481e-05,
332
+ "loss": 1.1249,
333
+ "step": 108
334
+ },
335
+ {
336
+ "epoch": 0.14,
337
+ "learning_rate": 1.9977001116286675e-05,
338
+ "loss": 1.2025,
339
+ "step": 110
340
+ },
341
+ {
342
+ "epoch": 0.14,
343
+ "learning_rate": 1.9974037699901993e-05,
344
+ "loss": 1.1594,
345
+ "step": 112
346
+ },
347
+ {
348
+ "epoch": 0.15,
349
+ "learning_rate": 1.9970895002757413e-05,
350
+ "loss": 1.1506,
351
+ "step": 114
352
+ },
353
+ {
354
+ "epoch": 0.15,
355
+ "learning_rate": 1.9967573081342103e-05,
356
+ "loss": 1.2164,
357
+ "step": 116
358
+ },
359
+ {
360
+ "epoch": 0.15,
361
+ "learning_rate": 1.9964071995366744e-05,
362
+ "loss": 1.1398,
363
+ "step": 118
364
+ },
365
+ {
366
+ "epoch": 0.15,
367
+ "learning_rate": 1.9960391807762462e-05,
368
+ "loss": 1.2018,
369
+ "step": 120
370
+ },
371
+ {
372
+ "epoch": 0.16,
373
+ "learning_rate": 1.9956532584679676e-05,
374
+ "loss": 1.18,
375
+ "step": 122
376
+ },
377
+ {
378
+ "epoch": 0.16,
379
+ "learning_rate": 1.995249439548693e-05,
380
+ "loss": 1.1726,
381
+ "step": 124
382
+ },
383
+ {
384
+ "epoch": 0.16,
385
+ "learning_rate": 1.994827731276963e-05,
386
+ "loss": 1.1302,
387
+ "step": 126
388
+ },
389
+ {
390
+ "epoch": 0.16,
391
+ "learning_rate": 1.994388141232876e-05,
392
+ "loss": 1.1494,
393
+ "step": 128
394
+ },
395
+ {
396
+ "epoch": 0.17,
397
+ "learning_rate": 1.9939306773179498e-05,
398
+ "loss": 1.2118,
399
+ "step": 130
400
+ },
401
+ {
402
+ "epoch": 0.17,
403
+ "learning_rate": 1.9934553477549795e-05,
404
+ "loss": 1.1385,
405
+ "step": 132
406
+ },
407
+ {
408
+ "epoch": 0.17,
409
+ "learning_rate": 1.992962161087893e-05,
410
+ "loss": 1.1837,
411
+ "step": 134
412
+ },
413
+ {
414
+ "epoch": 0.17,
415
+ "learning_rate": 1.9924511261815928e-05,
416
+ "loss": 1.1921,
417
+ "step": 136
418
+ },
419
+ {
420
+ "epoch": 0.18,
421
+ "learning_rate": 1.9919222522217998e-05,
422
+ "loss": 1.1621,
423
+ "step": 138
424
+ },
425
+ {
426
+ "epoch": 0.18,
427
+ "learning_rate": 1.9913755487148874e-05,
428
+ "loss": 1.2225,
429
+ "step": 140
430
+ },
431
+ {
432
+ "epoch": 0.18,
433
+ "learning_rate": 1.9908110254877107e-05,
434
+ "loss": 1.139,
435
+ "step": 142
436
+ },
437
+ {
438
+ "epoch": 0.18,
439
+ "learning_rate": 1.990228692687429e-05,
440
+ "loss": 1.1651,
441
+ "step": 144
442
+ },
443
+ {
444
+ "epoch": 0.19,
445
+ "learning_rate": 1.9896285607813245e-05,
446
+ "loss": 1.1357,
447
+ "step": 146
448
+ },
449
+ {
450
+ "epoch": 0.19,
451
+ "learning_rate": 1.989010640556614e-05,
452
+ "loss": 1.16,
453
+ "step": 148
454
+ },
455
+ {
456
+ "epoch": 0.19,
457
+ "learning_rate": 1.988374943120254e-05,
458
+ "loss": 1.1853,
459
+ "step": 150
460
+ },
461
+ {
462
+ "epoch": 0.19,
463
+ "learning_rate": 1.9877214798987428e-05,
464
+ "loss": 1.1863,
465
+ "step": 152
466
+ },
467
+ {
468
+ "epoch": 0.2,
469
+ "learning_rate": 1.9870502626379127e-05,
470
+ "loss": 1.2025,
471
+ "step": 154
472
+ },
473
+ {
474
+ "epoch": 0.2,
475
+ "learning_rate": 1.9863613034027224e-05,
476
+ "loss": 1.1802,
477
+ "step": 156
478
+ },
479
+ {
480
+ "epoch": 0.2,
481
+ "learning_rate": 1.985654614577036e-05,
482
+ "loss": 1.2212,
483
+ "step": 158
484
+ },
485
+ {
486
+ "epoch": 0.21,
487
+ "learning_rate": 1.9849302088634034e-05,
488
+ "loss": 1.191,
489
+ "step": 160
490
+ },
491
+ {
492
+ "epoch": 0.21,
493
+ "learning_rate": 1.9841880992828306e-05,
494
+ "loss": 1.1702,
495
+ "step": 162
496
+ },
497
+ {
498
+ "epoch": 0.21,
499
+ "learning_rate": 1.9834282991745465e-05,
500
+ "loss": 1.1982,
501
+ "step": 164
502
+ },
503
+ {
504
+ "epoch": 0.21,
505
+ "learning_rate": 1.9826508221957624e-05,
506
+ "loss": 1.1503,
507
+ "step": 166
508
+ },
509
+ {
510
+ "epoch": 0.22,
511
+ "learning_rate": 1.981855682321427e-05,
512
+ "loss": 1.1997,
513
+ "step": 168
514
+ },
515
+ {
516
+ "epoch": 0.22,
517
+ "learning_rate": 1.981042893843974e-05,
518
+ "loss": 1.1724,
519
+ "step": 170
520
+ },
521
+ {
522
+ "epoch": 0.22,
523
+ "learning_rate": 1.980212471373068e-05,
524
+ "loss": 1.1611,
525
+ "step": 172
526
+ },
527
+ {
528
+ "epoch": 0.22,
529
+ "learning_rate": 1.979364429835339e-05,
530
+ "loss": 1.1512,
531
+ "step": 174
532
+ },
533
+ {
534
+ "epoch": 0.23,
535
+ "learning_rate": 1.978498784474115e-05,
536
+ "loss": 1.2071,
537
+ "step": 176
538
+ },
539
+ {
540
+ "epoch": 0.23,
541
+ "learning_rate": 1.9776155508491482e-05,
542
+ "loss": 1.1767,
543
+ "step": 178
544
+ },
545
+ {
546
+ "epoch": 0.23,
547
+ "learning_rate": 1.9767147448363366e-05,
548
+ "loss": 1.162,
549
+ "step": 180
550
+ },
551
+ {
552
+ "epoch": 0.23,
553
+ "learning_rate": 1.9757963826274357e-05,
554
+ "loss": 1.1688,
555
+ "step": 182
556
+ },
557
+ {
558
+ "epoch": 0.24,
559
+ "learning_rate": 1.97486048072977e-05,
560
+ "loss": 1.1622,
561
+ "step": 184
562
+ },
563
+ {
564
+ "epoch": 0.24,
565
+ "learning_rate": 1.9739070559659347e-05,
566
+ "loss": 1.1653,
567
+ "step": 186
568
+ },
569
+ {
570
+ "epoch": 0.24,
571
+ "learning_rate": 1.972936125473495e-05,
572
+ "loss": 1.1141,
573
+ "step": 188
574
+ },
575
+ {
576
+ "epoch": 0.24,
577
+ "learning_rate": 1.9719477067046768e-05,
578
+ "loss": 1.1571,
579
+ "step": 190
580
+ },
581
+ {
582
+ "epoch": 0.25,
583
+ "learning_rate": 1.9709418174260523e-05,
584
+ "loss": 1.2207,
585
+ "step": 192
586
+ },
587
+ {
588
+ "epoch": 0.25,
589
+ "learning_rate": 1.9699184757182225e-05,
590
+ "loss": 1.1794,
591
+ "step": 194
592
+ },
593
+ {
594
+ "epoch": 0.25,
595
+ "learning_rate": 1.9688776999754913e-05,
596
+ "loss": 1.106,
597
+ "step": 196
598
+ },
599
+ {
600
+ "epoch": 0.25,
601
+ "learning_rate": 1.9678195089055347e-05,
602
+ "loss": 1.1521,
603
+ "step": 198
604
+ },
605
+ {
606
+ "epoch": 0.26,
607
+ "learning_rate": 1.966743921529065e-05,
608
+ "loss": 1.1671,
609
+ "step": 200
610
+ },
611
+ {
612
+ "epoch": 0.26,
613
+ "learning_rate": 1.965650957179488e-05,
614
+ "loss": 1.1579,
615
+ "step": 202
616
+ },
617
+ {
618
+ "epoch": 0.26,
619
+ "learning_rate": 1.9645406355025565e-05,
620
+ "loss": 1.2015,
621
+ "step": 204
622
+ },
623
+ {
624
+ "epoch": 0.26,
625
+ "learning_rate": 1.963412976456017e-05,
626
+ "loss": 1.1538,
627
+ "step": 206
628
+ },
629
+ {
630
+ "epoch": 0.27,
631
+ "learning_rate": 1.9622680003092503e-05,
632
+ "loss": 1.1832,
633
+ "step": 208
634
+ },
635
+ {
636
+ "epoch": 0.27,
637
+ "learning_rate": 1.9611057276429085e-05,
638
+ "loss": 1.2082,
639
+ "step": 210
640
+ },
641
+ {
642
+ "epoch": 0.27,
643
+ "learning_rate": 1.9599261793485432e-05,
644
+ "loss": 1.1638,
645
+ "step": 212
646
+ },
647
+ {
648
+ "epoch": 0.27,
649
+ "learning_rate": 1.958729376628231e-05,
650
+ "loss": 1.201,
651
+ "step": 214
652
+ },
653
+ {
654
+ "epoch": 0.28,
655
+ "learning_rate": 1.957515340994193e-05,
656
+ "loss": 1.1826,
657
+ "step": 216
658
+ },
659
+ {
660
+ "epoch": 0.28,
661
+ "learning_rate": 1.956284094268407e-05,
662
+ "loss": 1.1293,
663
+ "step": 218
664
+ },
665
+ {
666
+ "epoch": 0.28,
667
+ "learning_rate": 1.955035658582216e-05,
668
+ "loss": 1.1935,
669
+ "step": 220
670
+ },
671
+ {
672
+ "epoch": 0.28,
673
+ "learning_rate": 1.9537700563759303e-05,
674
+ "loss": 1.1658,
675
+ "step": 222
676
+ },
677
+ {
678
+ "epoch": 0.29,
679
+ "learning_rate": 1.9524873103984234e-05,
680
+ "loss": 1.1698,
681
+ "step": 224
682
+ },
683
+ {
684
+ "epoch": 0.29,
685
+ "learning_rate": 1.9511874437067243e-05,
686
+ "loss": 1.1962,
687
+ "step": 226
688
+ },
689
+ {
690
+ "epoch": 0.29,
691
+ "learning_rate": 1.949870479665602e-05,
692
+ "loss": 1.1148,
693
+ "step": 228
694
+ },
695
+ {
696
+ "epoch": 0.29,
697
+ "learning_rate": 1.9485364419471454e-05,
698
+ "loss": 1.1701,
699
+ "step": 230
700
+ },
701
+ {
702
+ "epoch": 0.3,
703
+ "learning_rate": 1.9471853545303407e-05,
704
+ "loss": 1.202,
705
+ "step": 232
706
+ },
707
+ {
708
+ "epoch": 0.3,
709
+ "learning_rate": 1.9458172417006347e-05,
710
+ "loss": 1.1923,
711
+ "step": 234
712
+ },
713
+ {
714
+ "epoch": 0.3,
715
+ "learning_rate": 1.9444321280495045e-05,
716
+ "loss": 1.1486,
717
+ "step": 236
718
+ },
719
+ {
720
+ "epoch": 0.31,
721
+ "learning_rate": 1.9430300384740108e-05,
722
+ "loss": 1.163,
723
+ "step": 238
724
+ },
725
+ {
726
+ "epoch": 0.31,
727
+ "learning_rate": 1.9416109981763526e-05,
728
+ "loss": 1.166,
729
+ "step": 240
730
+ },
731
+ {
732
+ "epoch": 0.31,
733
+ "learning_rate": 1.9401750326634144e-05,
734
+ "loss": 1.1528,
735
+ "step": 242
736
+ },
737
+ {
738
+ "epoch": 0.31,
739
+ "learning_rate": 1.9387221677463064e-05,
740
+ "loss": 1.1547,
741
+ "step": 244
742
+ },
743
+ {
744
+ "epoch": 0.32,
745
+ "learning_rate": 1.9372524295399014e-05,
746
+ "loss": 1.2095,
747
+ "step": 246
748
+ },
749
+ {
750
+ "epoch": 0.32,
751
+ "learning_rate": 1.9357658444623655e-05,
752
+ "loss": 1.0905,
753
+ "step": 248
754
+ },
755
+ {
756
+ "epoch": 0.32,
757
+ "learning_rate": 1.9342624392346826e-05,
758
+ "loss": 1.169,
759
+ "step": 250
760
+ },
761
+ {
762
+ "epoch": 0.32,
763
+ "learning_rate": 1.9327422408801744e-05,
764
+ "loss": 1.1979,
765
+ "step": 252
766
+ },
767
+ {
768
+ "epoch": 0.33,
769
+ "learning_rate": 1.9312052767240153e-05,
770
+ "loss": 1.1515,
771
+ "step": 254
772
+ },
773
+ {
774
+ "epoch": 0.33,
775
+ "learning_rate": 1.92965157439274e-05,
776
+ "loss": 1.1893,
777
+ "step": 256
778
+ },
779
+ {
780
+ "epoch": 0.33,
781
+ "learning_rate": 1.9280811618137486e-05,
782
+ "loss": 1.174,
783
+ "step": 258
784
+ },
785
+ {
786
+ "epoch": 0.33,
787
+ "learning_rate": 1.9264940672148018e-05,
788
+ "loss": 1.2114,
789
+ "step": 260
790
+ },
791
+ {
792
+ "epoch": 0.34,
793
+ "learning_rate": 1.9248903191235177e-05,
794
+ "loss": 1.1677,
795
+ "step": 262
796
+ },
797
+ {
798
+ "epoch": 0.34,
799
+ "learning_rate": 1.9232699463668543e-05,
800
+ "loss": 1.1598,
801
+ "step": 264
802
+ },
803
+ {
804
+ "epoch": 0.34,
805
+ "learning_rate": 1.9216329780705955e-05,
806
+ "loss": 1.1887,
807
+ "step": 266
808
+ },
809
+ {
810
+ "epoch": 0.34,
811
+ "learning_rate": 1.9199794436588244e-05,
812
+ "loss": 1.15,
813
+ "step": 268
814
+ },
815
+ {
816
+ "epoch": 0.35,
817
+ "learning_rate": 1.9183093728533966e-05,
818
+ "loss": 1.1685,
819
+ "step": 270
820
+ },
821
+ {
822
+ "epoch": 0.35,
823
+ "learning_rate": 1.916622795673405e-05,
824
+ "loss": 1.1508,
825
+ "step": 272
826
+ },
827
+ {
828
+ "epoch": 0.35,
829
+ "learning_rate": 1.9149197424346405e-05,
830
+ "loss": 1.1324,
831
+ "step": 274
832
+ },
833
+ {
834
+ "epoch": 0.35,
835
+ "learning_rate": 1.913200243749046e-05,
836
+ "loss": 1.1601,
837
+ "step": 276
838
+ },
839
+ {
840
+ "epoch": 0.36,
841
+ "learning_rate": 1.9114643305241678e-05,
842
+ "loss": 1.1349,
843
+ "step": 278
844
+ },
845
+ {
846
+ "epoch": 0.36,
847
+ "learning_rate": 1.9097120339625994e-05,
848
+ "loss": 1.1617,
849
+ "step": 280
850
+ },
851
+ {
852
+ "epoch": 0.36,
853
+ "learning_rate": 1.9079433855614203e-05,
854
+ "loss": 1.1513,
855
+ "step": 282
856
+ },
857
+ {
858
+ "epoch": 0.36,
859
+ "learning_rate": 1.9061584171116302e-05,
860
+ "loss": 1.17,
861
+ "step": 284
862
+ },
863
+ {
864
+ "epoch": 0.37,
865
+ "learning_rate": 1.9043571606975776e-05,
866
+ "loss": 1.1732,
867
+ "step": 286
868
+ },
869
+ {
870
+ "epoch": 0.37,
871
+ "learning_rate": 1.9025396486963827e-05,
872
+ "loss": 1.1233,
873
+ "step": 288
874
+ },
875
+ {
876
+ "epoch": 0.37,
877
+ "learning_rate": 1.900705913777356e-05,
878
+ "loss": 1.1701,
879
+ "step": 290
880
+ },
881
+ {
882
+ "epoch": 0.37,
883
+ "learning_rate": 1.89885598890141e-05,
884
+ "loss": 1.161,
885
+ "step": 292
886
+ },
887
+ {
888
+ "epoch": 0.38,
889
+ "learning_rate": 1.8969899073204687e-05,
890
+ "loss": 1.1404,
891
+ "step": 294
892
+ },
893
+ {
894
+ "epoch": 0.38,
895
+ "learning_rate": 1.895107702576868e-05,
896
+ "loss": 1.2028,
897
+ "step": 296
898
+ },
899
+ {
900
+ "epoch": 0.38,
901
+ "learning_rate": 1.8932094085027534e-05,
902
+ "loss": 1.1943,
903
+ "step": 298
904
+ },
905
+ {
906
+ "epoch": 0.38,
907
+ "learning_rate": 1.891295059219472e-05,
908
+ "loss": 1.1376,
909
+ "step": 300
910
+ },
911
+ {
912
+ "epoch": 0.39,
913
+ "learning_rate": 1.88936468913696e-05,
914
+ "loss": 1.1743,
915
+ "step": 302
916
+ },
917
+ {
918
+ "epoch": 0.39,
919
+ "learning_rate": 1.8874183329531222e-05,
920
+ "loss": 1.1552,
921
+ "step": 304
922
+ },
923
+ {
924
+ "epoch": 0.39,
925
+ "learning_rate": 1.8854560256532098e-05,
926
+ "loss": 1.1528,
927
+ "step": 306
928
+ },
929
+ {
930
+ "epoch": 0.39,
931
+ "learning_rate": 1.883477802509192e-05,
932
+ "loss": 1.1543,
933
+ "step": 308
934
+ },
935
+ {
936
+ "epoch": 0.4,
937
+ "learning_rate": 1.88148369907912e-05,
938
+ "loss": 1.1008,
939
+ "step": 310
940
+ },
941
+ {
942
+ "epoch": 0.4,
943
+ "learning_rate": 1.879473751206489e-05,
944
+ "loss": 1.1573,
945
+ "step": 312
946
+ },
947
+ {
948
+ "epoch": 0.4,
949
+ "learning_rate": 1.877447995019596e-05,
950
+ "loss": 1.1236,
951
+ "step": 314
952
+ },
953
+ {
954
+ "epoch": 0.41,
955
+ "learning_rate": 1.875406466930886e-05,
956
+ "loss": 1.1546,
957
+ "step": 316
958
+ },
959
+ {
960
+ "epoch": 0.41,
961
+ "learning_rate": 1.8733492036363007e-05,
962
+ "loss": 1.1547,
963
+ "step": 318
964
+ },
965
+ {
966
+ "epoch": 0.41,
967
+ "learning_rate": 1.8712762421146185e-05,
968
+ "loss": 1.1608,
969
+ "step": 320
970
+ },
971
+ {
972
+ "epoch": 0.41,
973
+ "learning_rate": 1.8691876196267892e-05,
974
+ "loss": 1.1708,
975
+ "step": 322
976
+ },
977
+ {
978
+ "epoch": 0.42,
979
+ "learning_rate": 1.867083373715264e-05,
980
+ "loss": 1.1485,
981
+ "step": 324
982
+ },
983
+ {
984
+ "epoch": 0.42,
985
+ "learning_rate": 1.8649635422033218e-05,
986
+ "loss": 1.213,
987
+ "step": 326
988
+ },
989
+ {
990
+ "epoch": 0.42,
991
+ "learning_rate": 1.862828163194388e-05,
992
+ "loss": 1.137,
993
+ "step": 328
994
+ },
995
+ {
996
+ "epoch": 0.42,
997
+ "learning_rate": 1.8606772750713503e-05,
998
+ "loss": 1.1987,
999
+ "step": 330
1000
+ },
1001
+ {
1002
+ "epoch": 0.43,
1003
+ "learning_rate": 1.8585109164958698e-05,
1004
+ "loss": 1.1287,
1005
+ "step": 332
1006
+ },
1007
+ {
1008
+ "epoch": 0.43,
1009
+ "learning_rate": 1.8563291264076834e-05,
1010
+ "loss": 1.1653,
1011
+ "step": 334
1012
+ },
1013
+ {
1014
+ "epoch": 0.43,
1015
+ "learning_rate": 1.8541319440239066e-05,
1016
+ "loss": 1.1305,
1017
+ "step": 336
1018
+ },
1019
+ {
1020
+ "epoch": 0.43,
1021
+ "learning_rate": 1.851919408838327e-05,
1022
+ "loss": 1.186,
1023
+ "step": 338
1024
+ },
1025
+ {
1026
+ "epoch": 0.44,
1027
+ "learning_rate": 1.8496915606206952e-05,
1028
+ "loss": 1.1371,
1029
+ "step": 340
1030
+ },
1031
+ {
1032
+ "epoch": 0.44,
1033
+ "learning_rate": 1.847448439416009e-05,
1034
+ "loss": 1.1589,
1035
+ "step": 342
1036
+ },
1037
+ {
1038
+ "epoch": 0.44,
1039
+ "learning_rate": 1.845190085543795e-05,
1040
+ "loss": 1.0932,
1041
+ "step": 344
1042
+ },
1043
+ {
1044
+ "epoch": 0.44,
1045
+ "learning_rate": 1.842916539597382e-05,
1046
+ "loss": 1.1354,
1047
+ "step": 346
1048
+ },
1049
+ {
1050
+ "epoch": 0.45,
1051
+ "learning_rate": 1.8406278424431737e-05,
1052
+ "loss": 1.1056,
1053
+ "step": 348
1054
+ },
1055
+ {
1056
+ "epoch": 0.45,
1057
+ "learning_rate": 1.8383240352199118e-05,
1058
+ "loss": 1.1402,
1059
+ "step": 350
1060
+ },
1061
+ {
1062
+ "epoch": 0.45,
1063
+ "learning_rate": 1.8360051593379383e-05,
1064
+ "loss": 1.1689,
1065
+ "step": 352
1066
+ },
1067
+ {
1068
+ "epoch": 0.45,
1069
+ "learning_rate": 1.8336712564784506e-05,
1070
+ "loss": 1.1761,
1071
+ "step": 354
1072
+ },
1073
+ {
1074
+ "epoch": 0.46,
1075
+ "learning_rate": 1.8313223685927507e-05,
1076
+ "loss": 1.101,
1077
+ "step": 356
1078
+ },
1079
+ {
1080
+ "epoch": 0.46,
1081
+ "learning_rate": 1.8289585379014942e-05,
1082
+ "loss": 1.1944,
1083
+ "step": 358
1084
+ },
1085
+ {
1086
+ "epoch": 0.46,
1087
+ "learning_rate": 1.8265798068939295e-05,
1088
+ "loss": 1.2067,
1089
+ "step": 360
1090
+ },
1091
+ {
1092
+ "epoch": 0.46,
1093
+ "learning_rate": 1.8241862183271338e-05,
1094
+ "loss": 1.1291,
1095
+ "step": 362
1096
+ },
1097
+ {
1098
+ "epoch": 0.47,
1099
+ "learning_rate": 1.821777815225245e-05,
1100
+ "loss": 1.1814,
1101
+ "step": 364
1102
+ },
1103
+ {
1104
+ "epoch": 0.47,
1105
+ "learning_rate": 1.81935464087869e-05,
1106
+ "loss": 1.1324,
1107
+ "step": 366
1108
+ },
1109
+ {
1110
+ "epoch": 0.47,
1111
+ "learning_rate": 1.8169167388434024e-05,
1112
+ "loss": 1.1929,
1113
+ "step": 368
1114
+ },
1115
+ {
1116
+ "epoch": 0.47,
1117
+ "learning_rate": 1.8144641529400445e-05,
1118
+ "loss": 1.1131,
1119
+ "step": 370
1120
+ },
1121
+ {
1122
+ "epoch": 0.48,
1123
+ "learning_rate": 1.8119969272532164e-05,
1124
+ "loss": 1.1646,
1125
+ "step": 372
1126
+ },
1127
+ {
1128
+ "epoch": 0.48,
1129
+ "learning_rate": 1.8095151061306647e-05,
1130
+ "loss": 1.1554,
1131
+ "step": 374
1132
+ },
1133
+ {
1134
+ "epoch": 0.48,
1135
+ "learning_rate": 1.8070187341824848e-05,
1136
+ "loss": 1.1406,
1137
+ "step": 376
1138
+ },
1139
+ {
1140
+ "epoch": 0.48,
1141
+ "learning_rate": 1.8045078562803203e-05,
1142
+ "loss": 1.1385,
1143
+ "step": 378
1144
+ },
1145
+ {
1146
+ "epoch": 0.49,
1147
+ "learning_rate": 1.8019825175565544e-05,
1148
+ "loss": 1.1865,
1149
+ "step": 380
1150
+ },
1151
+ {
1152
+ "epoch": 0.49,
1153
+ "learning_rate": 1.7994427634035016e-05,
1154
+ "loss": 1.1631,
1155
+ "step": 382
1156
+ },
1157
+ {
1158
+ "epoch": 0.49,
1159
+ "learning_rate": 1.7968886394725876e-05,
1160
+ "loss": 1.1112,
1161
+ "step": 384
1162
+ },
1163
+ {
1164
+ "epoch": 0.49,
1165
+ "learning_rate": 1.7943201916735337e-05,
1166
+ "loss": 1.1238,
1167
+ "step": 386
1168
+ },
1169
+ {
1170
+ "epoch": 0.5,
1171
+ "learning_rate": 1.791737466173527e-05,
1172
+ "loss": 1.1653,
1173
+ "step": 388
1174
+ },
1175
+ {
1176
+ "epoch": 0.5,
1177
+ "learning_rate": 1.789140509396394e-05,
1178
+ "loss": 1.1407,
1179
+ "step": 390
1180
+ },
1181
+ {
1182
+ "epoch": 0.5,
1183
+ "learning_rate": 1.7865293680217636e-05,
1184
+ "loss": 1.1344,
1185
+ "step": 392
1186
+ },
1187
+ {
1188
+ "epoch": 0.51,
1189
+ "learning_rate": 1.7839040889842307e-05,
1190
+ "loss": 1.1513,
1191
+ "step": 394
1192
+ },
1193
+ {
1194
+ "epoch": 0.51,
1195
+ "learning_rate": 1.7812647194725093e-05,
1196
+ "loss": 1.1392,
1197
+ "step": 396
1198
+ },
1199
+ {
1200
+ "epoch": 0.51,
1201
+ "learning_rate": 1.7786113069285877e-05,
1202
+ "loss": 1.0903,
1203
+ "step": 398
1204
+ },
1205
+ {
1206
+ "epoch": 0.51,
1207
+ "learning_rate": 1.7759438990468726e-05,
1208
+ "loss": 1.1068,
1209
+ "step": 400
1210
+ },
1211
+ {
1212
+ "epoch": 0.52,
1213
+ "learning_rate": 1.7732625437733338e-05,
1214
+ "loss": 1.1482,
1215
+ "step": 402
1216
+ },
1217
+ {
1218
+ "epoch": 0.52,
1219
+ "learning_rate": 1.7705672893046425e-05,
1220
+ "loss": 1.1475,
1221
+ "step": 404
1222
+ },
1223
+ {
1224
+ "epoch": 0.52,
1225
+ "learning_rate": 1.767858184087304e-05,
1226
+ "loss": 1.1514,
1227
+ "step": 406
1228
+ },
1229
+ {
1230
+ "epoch": 0.52,
1231
+ "learning_rate": 1.765135276816787e-05,
1232
+ "loss": 1.1395,
1233
+ "step": 408
1234
+ },
1235
+ {
1236
+ "epoch": 0.53,
1237
+ "learning_rate": 1.7623986164366487e-05,
1238
+ "loss": 1.1084,
1239
+ "step": 410
1240
+ },
1241
+ {
1242
+ "epoch": 0.53,
1243
+ "learning_rate": 1.7596482521376546e-05,
1244
+ "loss": 1.1748,
1245
+ "step": 412
1246
+ },
1247
+ {
1248
+ "epoch": 0.53,
1249
+ "learning_rate": 1.7568842333568952e-05,
1250
+ "loss": 1.1709,
1251
+ "step": 414
1252
+ },
1253
+ {
1254
+ "epoch": 0.53,
1255
+ "learning_rate": 1.7541066097768965e-05,
1256
+ "loss": 1.1961,
1257
+ "step": 416
1258
+ },
1259
+ {
1260
+ "epoch": 0.54,
1261
+ "learning_rate": 1.7513154313247273e-05,
1262
+ "loss": 1.1287,
1263
+ "step": 418
1264
+ },
1265
+ {
1266
+ "epoch": 0.54,
1267
+ "learning_rate": 1.7485107481711014e-05,
1268
+ "loss": 1.1484,
1269
+ "step": 420
1270
+ },
1271
+ {
1272
+ "epoch": 0.54,
1273
+ "learning_rate": 1.7456926107294765e-05,
1274
+ "loss": 1.1195,
1275
+ "step": 422
1276
+ },
1277
+ {
1278
+ "epoch": 0.54,
1279
+ "learning_rate": 1.742861069655148e-05,
1280
+ "loss": 1.1157,
1281
+ "step": 424
1282
+ },
1283
+ {
1284
+ "epoch": 0.55,
1285
+ "learning_rate": 1.7400161758443377e-05,
1286
+ "loss": 1.1829,
1287
+ "step": 426
1288
+ },
1289
+ {
1290
+ "epoch": 0.55,
1291
+ "learning_rate": 1.737157980433279e-05,
1292
+ "loss": 1.1937,
1293
+ "step": 428
1294
+ },
1295
+ {
1296
+ "epoch": 0.55,
1297
+ "learning_rate": 1.7342865347972987e-05,
1298
+ "loss": 1.0915,
1299
+ "step": 430
1300
+ },
1301
+ {
1302
+ "epoch": 0.55,
1303
+ "learning_rate": 1.7314018905498932e-05,
1304
+ "loss": 1.1741,
1305
+ "step": 432
1306
+ },
1307
+ {
1308
+ "epoch": 0.56,
1309
+ "learning_rate": 1.7285040995418003e-05,
1310
+ "loss": 1.1407,
1311
+ "step": 434
1312
+ },
1313
+ {
1314
+ "epoch": 0.56,
1315
+ "learning_rate": 1.7255932138600665e-05,
1316
+ "loss": 1.1625,
1317
+ "step": 436
1318
+ },
1319
+ {
1320
+ "epoch": 0.56,
1321
+ "learning_rate": 1.7226692858271133e-05,
1322
+ "loss": 1.17,
1323
+ "step": 438
1324
+ },
1325
+ {
1326
+ "epoch": 0.56,
1327
+ "learning_rate": 1.7197323679997943e-05,
1328
+ "loss": 1.1736,
1329
+ "step": 440
1330
+ },
1331
+ {
1332
+ "epoch": 0.57,
1333
+ "learning_rate": 1.7167825131684516e-05,
1334
+ "loss": 1.1646,
1335
+ "step": 442
1336
+ },
1337
+ {
1338
+ "epoch": 0.57,
1339
+ "learning_rate": 1.7138197743559656e-05,
1340
+ "loss": 1.1301,
1341
+ "step": 444
1342
+ },
1343
+ {
1344
+ "epoch": 0.57,
1345
+ "learning_rate": 1.7108442048168038e-05,
1346
+ "loss": 1.1564,
1347
+ "step": 446
1348
+ },
1349
+ {
1350
+ "epoch": 0.57,
1351
+ "learning_rate": 1.707855858036063e-05,
1352
+ "loss": 1.1653,
1353
+ "step": 448
1354
+ },
1355
+ {
1356
+ "epoch": 0.58,
1357
+ "learning_rate": 1.7048547877285078e-05,
1358
+ "loss": 1.1335,
1359
+ "step": 450
1360
+ },
1361
+ {
1362
+ "epoch": 0.58,
1363
+ "learning_rate": 1.7018410478376033e-05,
1364
+ "loss": 1.1478,
1365
+ "step": 452
1366
+ },
1367
+ {
1368
+ "epoch": 0.58,
1369
+ "learning_rate": 1.6988146925345487e-05,
1370
+ "loss": 1.1436,
1371
+ "step": 454
1372
+ },
1373
+ {
1374
+ "epoch": 0.58,
1375
+ "learning_rate": 1.695775776217301e-05,
1376
+ "loss": 1.1958,
1377
+ "step": 456
1378
+ },
1379
+ {
1380
+ "epoch": 0.59,
1381
+ "learning_rate": 1.6927243535095995e-05,
1382
+ "loss": 1.1215,
1383
+ "step": 458
1384
+ },
1385
+ {
1386
+ "epoch": 0.59,
1387
+ "learning_rate": 1.6896604792599813e-05,
1388
+ "loss": 1.1639,
1389
+ "step": 460
1390
+ },
1391
+ {
1392
+ "epoch": 0.59,
1393
+ "learning_rate": 1.686584208540797e-05,
1394
+ "loss": 1.1605,
1395
+ "step": 462
1396
+ },
1397
+ {
1398
+ "epoch": 0.59,
1399
+ "learning_rate": 1.6834955966472214e-05,
1400
+ "loss": 1.0812,
1401
+ "step": 464
1402
+ },
1403
+ {
1404
+ "epoch": 0.6,
1405
+ "learning_rate": 1.6803946990962577e-05,
1406
+ "loss": 1.1427,
1407
+ "step": 466
1408
+ },
1409
+ {
1410
+ "epoch": 0.6,
1411
+ "learning_rate": 1.6772815716257414e-05,
1412
+ "loss": 1.1497,
1413
+ "step": 468
1414
+ },
1415
+ {
1416
+ "epoch": 0.6,
1417
+ "learning_rate": 1.6741562701933366e-05,
1418
+ "loss": 1.1058,
1419
+ "step": 470
1420
+ },
1421
+ {
1422
+ "epoch": 0.61,
1423
+ "learning_rate": 1.671018850975533e-05,
1424
+ "loss": 1.095,
1425
+ "step": 472
1426
+ },
1427
+ {
1428
+ "epoch": 0.61,
1429
+ "learning_rate": 1.6678693703666327e-05,
1430
+ "loss": 1.1272,
1431
+ "step": 474
1432
+ },
1433
+ {
1434
+ "epoch": 0.61,
1435
+ "learning_rate": 1.664707884977739e-05,
1436
+ "loss": 1.1257,
1437
+ "step": 476
1438
+ },
1439
+ {
1440
+ "epoch": 0.61,
1441
+ "learning_rate": 1.661534451635738e-05,
1442
+ "loss": 1.1318,
1443
+ "step": 478
1444
+ },
1445
+ {
1446
+ "epoch": 0.62,
1447
+ "learning_rate": 1.6583491273822763e-05,
1448
+ "loss": 1.1335,
1449
+ "step": 480
1450
+ },
1451
+ {
1452
+ "epoch": 0.62,
1453
+ "learning_rate": 1.655151969472738e-05,
1454
+ "loss": 1.1529,
1455
+ "step": 482
1456
+ },
1457
+ {
1458
+ "epoch": 0.62,
1459
+ "learning_rate": 1.6519430353752138e-05,
1460
+ "loss": 1.1674,
1461
+ "step": 484
1462
+ },
1463
+ {
1464
+ "epoch": 0.62,
1465
+ "learning_rate": 1.6487223827694673e-05,
1466
+ "loss": 1.1743,
1467
+ "step": 486
1468
+ },
1469
+ {
1470
+ "epoch": 0.63,
1471
+ "learning_rate": 1.6454900695459e-05,
1472
+ "loss": 1.186,
1473
+ "step": 488
1474
+ },
1475
+ {
1476
+ "epoch": 0.63,
1477
+ "learning_rate": 1.6422461538045104e-05,
1478
+ "loss": 1.1251,
1479
+ "step": 490
1480
+ },
1481
+ {
1482
+ "epoch": 0.63,
1483
+ "learning_rate": 1.638990693853848e-05,
1484
+ "loss": 1.0951,
1485
+ "step": 492
1486
+ },
1487
+ {
1488
+ "epoch": 0.63,
1489
+ "learning_rate": 1.6357237482099682e-05,
1490
+ "loss": 1.1618,
1491
+ "step": 494
1492
+ },
1493
+ {
1494
+ "epoch": 0.64,
1495
+ "learning_rate": 1.6324453755953772e-05,
1496
+ "loss": 1.1283,
1497
+ "step": 496
1498
+ },
1499
+ {
1500
+ "epoch": 0.64,
1501
+ "learning_rate": 1.6291556349379794e-05,
1502
+ "loss": 1.1174,
1503
+ "step": 498
1504
+ },
1505
+ {
1506
+ "epoch": 0.64,
1507
+ "learning_rate": 1.6258545853700157e-05,
1508
+ "loss": 1.17,
1509
+ "step": 500
1510
+ },
1511
+ {
1512
+ "epoch": 0.64,
1513
+ "learning_rate": 1.622542286227003e-05,
1514
+ "loss": 1.1735,
1515
+ "step": 502
1516
+ },
1517
+ {
1518
+ "epoch": 0.65,
1519
+ "learning_rate": 1.6192187970466646e-05,
1520
+ "loss": 1.0973,
1521
+ "step": 504
1522
+ },
1523
+ {
1524
+ "epoch": 0.65,
1525
+ "learning_rate": 1.615884177567863e-05,
1526
+ "loss": 1.1478,
1527
+ "step": 506
1528
+ },
1529
+ {
1530
+ "epoch": 0.65,
1531
+ "learning_rate": 1.6125384877295255e-05,
1532
+ "loss": 1.1254,
1533
+ "step": 508
1534
+ },
1535
+ {
1536
+ "epoch": 0.65,
1537
+ "learning_rate": 1.6091817876695655e-05,
1538
+ "loss": 1.1599,
1539
+ "step": 510
1540
+ },
1541
+ {
1542
+ "epoch": 0.66,
1543
+ "learning_rate": 1.6058141377238026e-05,
1544
+ "loss": 1.1401,
1545
+ "step": 512
1546
+ },
1547
+ {
1548
+ "epoch": 0.66,
1549
+ "learning_rate": 1.602435598424877e-05,
1550
+ "loss": 1.1241,
1551
+ "step": 514
1552
+ },
1553
+ {
1554
+ "epoch": 0.66,
1555
+ "learning_rate": 1.599046230501163e-05,
1556
+ "loss": 1.1915,
1557
+ "step": 516
1558
+ },
1559
+ {
1560
+ "epoch": 0.66,
1561
+ "learning_rate": 1.5956460948756765e-05,
1562
+ "loss": 1.1119,
1563
+ "step": 518
1564
+ },
1565
+ {
1566
+ "epoch": 0.67,
1567
+ "learning_rate": 1.5922352526649803e-05,
1568
+ "loss": 1.1226,
1569
+ "step": 520
1570
+ },
1571
+ {
1572
+ "epoch": 0.67,
1573
+ "learning_rate": 1.5888137651780847e-05,
1574
+ "loss": 1.1635,
1575
+ "step": 522
1576
+ },
1577
+ {
1578
+ "epoch": 0.67,
1579
+ "learning_rate": 1.585381693915346e-05,
1580
+ "loss": 1.123,
1581
+ "step": 524
1582
+ },
1583
+ {
1584
+ "epoch": 0.67,
1585
+ "learning_rate": 1.581939100567363e-05,
1586
+ "loss": 1.178,
1587
+ "step": 526
1588
+ },
1589
+ {
1590
+ "epoch": 0.68,
1591
+ "learning_rate": 1.5784860470138633e-05,
1592
+ "loss": 1.152,
1593
+ "step": 528
1594
+ },
1595
+ {
1596
+ "epoch": 0.68,
1597
+ "learning_rate": 1.5750225953225968e-05,
1598
+ "loss": 1.1314,
1599
+ "step": 530
1600
+ },
1601
+ {
1602
+ "epoch": 0.68,
1603
+ "learning_rate": 1.5715488077482152e-05,
1604
+ "loss": 1.1556,
1605
+ "step": 532
1606
+ },
1607
+ {
1608
+ "epoch": 0.68,
1609
+ "learning_rate": 1.568064746731156e-05,
1610
+ "loss": 1.1427,
1611
+ "step": 534
1612
+ },
1613
+ {
1614
+ "epoch": 0.69,
1615
+ "learning_rate": 1.5645704748965193e-05,
1616
+ "loss": 1.1633,
1617
+ "step": 536
1618
+ },
1619
+ {
1620
+ "epoch": 0.69,
1621
+ "learning_rate": 1.5610660550529413e-05,
1622
+ "loss": 1.1237,
1623
+ "step": 538
1624
+ },
1625
+ {
1626
+ "epoch": 0.69,
1627
+ "learning_rate": 1.557551550191467e-05,
1628
+ "loss": 1.1241,
1629
+ "step": 540
1630
+ },
1631
+ {
1632
+ "epoch": 0.69,
1633
+ "learning_rate": 1.554027023484416e-05,
1634
+ "loss": 1.1212,
1635
+ "step": 542
1636
+ },
1637
+ {
1638
+ "epoch": 0.7,
1639
+ "learning_rate": 1.550492538284249e-05,
1640
+ "loss": 1.1125,
1641
+ "step": 544
1642
+ },
1643
+ {
1644
+ "epoch": 0.7,
1645
+ "learning_rate": 1.5469481581224274e-05,
1646
+ "loss": 1.1345,
1647
+ "step": 546
1648
+ },
1649
+ {
1650
+ "epoch": 0.7,
1651
+ "learning_rate": 1.5433939467082713e-05,
1652
+ "loss": 1.0837,
1653
+ "step": 548
1654
+ },
1655
+ {
1656
+ "epoch": 0.71,
1657
+ "learning_rate": 1.5398299679278172e-05,
1658
+ "loss": 1.1531,
1659
+ "step": 550
1660
+ },
1661
+ {
1662
+ "epoch": 0.71,
1663
+ "learning_rate": 1.5362562858426655e-05,
1664
+ "loss": 1.179,
1665
+ "step": 552
1666
+ },
1667
+ {
1668
+ "epoch": 0.71,
1669
+ "learning_rate": 1.5326729646888314e-05,
1670
+ "loss": 1.1123,
1671
+ "step": 554
1672
+ },
1673
+ {
1674
+ "epoch": 0.71,
1675
+ "learning_rate": 1.5290800688755906e-05,
1676
+ "loss": 1.1616,
1677
+ "step": 556
1678
+ },
1679
+ {
1680
+ "epoch": 0.72,
1681
+ "learning_rate": 1.5254776629843204e-05,
1682
+ "loss": 1.1236,
1683
+ "step": 558
1684
+ },
1685
+ {
1686
+ "epoch": 0.72,
1687
+ "learning_rate": 1.5218658117673389e-05,
1688
+ "loss": 1.1254,
1689
+ "step": 560
1690
+ },
1691
+ {
1692
+ "epoch": 0.72,
1693
+ "learning_rate": 1.518244580146742e-05,
1694
+ "loss": 1.0994,
1695
+ "step": 562
1696
+ },
1697
+ {
1698
+ "epoch": 0.72,
1699
+ "learning_rate": 1.5146140332132359e-05,
1700
+ "loss": 1.0841,
1701
+ "step": 564
1702
+ },
1703
+ {
1704
+ "epoch": 0.73,
1705
+ "learning_rate": 1.5109742362249673e-05,
1706
+ "loss": 1.1284,
1707
+ "step": 566
1708
+ },
1709
+ {
1710
+ "epoch": 0.73,
1711
+ "learning_rate": 1.5073252546063493e-05,
1712
+ "loss": 1.108,
1713
+ "step": 568
1714
+ },
1715
+ {
1716
+ "epoch": 0.73,
1717
+ "learning_rate": 1.5036671539468879e-05,
1718
+ "loss": 1.1494,
1719
+ "step": 570
1720
+ },
1721
+ {
1722
+ "epoch": 0.73,
1723
+ "learning_rate": 1.5000000000000002e-05,
1724
+ "loss": 1.1226,
1725
+ "step": 572
1726
+ },
1727
+ {
1728
+ "epoch": 0.74,
1729
+ "learning_rate": 1.4963238586818346e-05,
1730
+ "loss": 1.0835,
1731
+ "step": 574
1732
+ },
1733
+ {
1734
+ "epoch": 0.74,
1735
+ "learning_rate": 1.4926387960700843e-05,
1736
+ "loss": 1.1047,
1737
+ "step": 576
1738
+ },
1739
+ {
1740
+ "epoch": 0.74,
1741
+ "learning_rate": 1.488944878402802e-05,
1742
+ "loss": 1.0861,
1743
+ "step": 578
1744
+ },
1745
+ {
1746
+ "epoch": 0.74,
1747
+ "learning_rate": 1.4852421720772064e-05,
1748
+ "loss": 1.1066,
1749
+ "step": 580
1750
+ },
1751
+ {
1752
+ "epoch": 0.75,
1753
+ "learning_rate": 1.4815307436484898e-05,
1754
+ "loss": 1.1382,
1755
+ "step": 582
1756
+ },
1757
+ {
1758
+ "epoch": 0.75,
1759
+ "learning_rate": 1.4778106598286235e-05,
1760
+ "loss": 1.0789,
1761
+ "step": 584
1762
+ },
1763
+ {
1764
+ "epoch": 0.75,
1765
+ "learning_rate": 1.4740819874851562e-05,
1766
+ "loss": 1.1367,
1767
+ "step": 586
1768
+ },
1769
+ {
1770
+ "epoch": 0.75,
1771
+ "learning_rate": 1.4703447936400135e-05,
1772
+ "loss": 1.1017,
1773
+ "step": 588
1774
+ },
1775
+ {
1776
+ "epoch": 0.76,
1777
+ "learning_rate": 1.4665991454682924e-05,
1778
+ "loss": 1.1009,
1779
+ "step": 590
1780
+ },
1781
+ {
1782
+ "epoch": 0.76,
1783
+ "learning_rate": 1.4628451102970546e-05,
1784
+ "loss": 1.08,
1785
+ "step": 592
1786
+ },
1787
+ {
1788
+ "epoch": 0.76,
1789
+ "learning_rate": 1.4590827556041158e-05,
1790
+ "loss": 1.1003,
1791
+ "step": 594
1792
+ },
1793
+ {
1794
+ "epoch": 0.76,
1795
+ "learning_rate": 1.4553121490168335e-05,
1796
+ "loss": 1.1396,
1797
+ "step": 596
1798
+ },
1799
+ {
1800
+ "epoch": 0.77,
1801
+ "learning_rate": 1.4515333583108896e-05,
1802
+ "loss": 1.1184,
1803
+ "step": 598
1804
+ },
1805
+ {
1806
+ "epoch": 0.77,
1807
+ "learning_rate": 1.4477464514090745e-05,
1808
+ "loss": 1.1374,
1809
+ "step": 600
1810
+ },
1811
+ {
1812
+ "epoch": 0.77,
1813
+ "learning_rate": 1.443951496380065e-05,
1814
+ "loss": 1.1114,
1815
+ "step": 602
1816
+ },
1817
+ {
1818
+ "epoch": 0.77,
1819
+ "learning_rate": 1.4401485614372009e-05,
1820
+ "loss": 1.0906,
1821
+ "step": 604
1822
+ },
1823
+ {
1824
+ "epoch": 0.78,
1825
+ "learning_rate": 1.4363377149372584e-05,
1826
+ "loss": 1.126,
1827
+ "step": 606
1828
+ },
1829
+ {
1830
+ "epoch": 0.78,
1831
+ "learning_rate": 1.4325190253792222e-05,
1832
+ "loss": 1.0907,
1833
+ "step": 608
1834
+ },
1835
+ {
1836
+ "epoch": 0.78,
1837
+ "learning_rate": 1.4286925614030542e-05,
1838
+ "loss": 1.126,
1839
+ "step": 610
1840
+ },
1841
+ {
1842
+ "epoch": 0.78,
1843
+ "learning_rate": 1.4248583917884595e-05,
1844
+ "loss": 1.1183,
1845
+ "step": 612
1846
+ },
1847
+ {
1848
+ "epoch": 0.79,
1849
+ "learning_rate": 1.4210165854536495e-05,
1850
+ "loss": 1.1165,
1851
+ "step": 614
1852
+ },
1853
+ {
1854
+ "epoch": 0.79,
1855
+ "learning_rate": 1.4171672114541042e-05,
1856
+ "loss": 1.1149,
1857
+ "step": 616
1858
+ },
1859
+ {
1860
+ "epoch": 0.79,
1861
+ "learning_rate": 1.4133103389813302e-05,
1862
+ "loss": 1.1124,
1863
+ "step": 618
1864
+ },
1865
+ {
1866
+ "epoch": 0.79,
1867
+ "learning_rate": 1.409446037361617e-05,
1868
+ "loss": 1.0864,
1869
+ "step": 620
1870
+ },
1871
+ {
1872
+ "epoch": 0.8,
1873
+ "learning_rate": 1.4055743760547918e-05,
1874
+ "loss": 1.105,
1875
+ "step": 622
1876
+ },
1877
+ {
1878
+ "epoch": 0.8,
1879
+ "learning_rate": 1.4016954246529697e-05,
1880
+ "loss": 1.1575,
1881
+ "step": 624
1882
+ },
1883
+ {
1884
+ "epoch": 0.8,
1885
+ "learning_rate": 1.3978092528793032e-05,
1886
+ "loss": 1.1155,
1887
+ "step": 626
1888
+ },
1889
+ {
1890
+ "epoch": 0.81,
1891
+ "learning_rate": 1.39391593058673e-05,
1892
+ "loss": 1.12,
1893
+ "step": 628
1894
+ },
1895
+ {
1896
+ "epoch": 0.81,
1897
+ "learning_rate": 1.3900155277567157e-05,
1898
+ "loss": 1.1048,
1899
+ "step": 630
1900
+ },
1901
+ {
1902
+ "epoch": 0.81,
1903
+ "learning_rate": 1.3861081144979975e-05,
1904
+ "loss": 1.1003,
1905
+ "step": 632
1906
+ },
1907
+ {
1908
+ "epoch": 0.81,
1909
+ "learning_rate": 1.382193761045322e-05,
1910
+ "loss": 1.0671,
1911
+ "step": 634
1912
+ },
1913
+ {
1914
+ "epoch": 0.82,
1915
+ "learning_rate": 1.378272537758185e-05,
1916
+ "loss": 1.0981,
1917
+ "step": 636
1918
+ },
1919
+ {
1920
+ "epoch": 0.82,
1921
+ "learning_rate": 1.3743445151195658e-05,
1922
+ "loss": 1.132,
1923
+ "step": 638
1924
+ },
1925
+ {
1926
+ "epoch": 0.82,
1927
+ "learning_rate": 1.37040976373466e-05,
1928
+ "loss": 1.1709,
1929
+ "step": 640
1930
+ },
1931
+ {
1932
+ "epoch": 0.82,
1933
+ "learning_rate": 1.3664683543296114e-05,
1934
+ "loss": 1.1083,
1935
+ "step": 642
1936
+ },
1937
+ {
1938
+ "epoch": 0.83,
1939
+ "learning_rate": 1.3625203577502384e-05,
1940
+ "loss": 1.1272,
1941
+ "step": 644
1942
+ },
1943
+ {
1944
+ "epoch": 0.83,
1945
+ "learning_rate": 1.3585658449607632e-05,
1946
+ "loss": 1.0967,
1947
+ "step": 646
1948
+ },
1949
+ {
1950
+ "epoch": 0.83,
1951
+ "learning_rate": 1.3546048870425356e-05,
1952
+ "loss": 1.0316,
1953
+ "step": 648
1954
+ },
1955
+ {
1956
+ "epoch": 0.83,
1957
+ "learning_rate": 1.3506375551927546e-05,
1958
+ "loss": 1.0944,
1959
+ "step": 650
1960
+ },
1961
+ {
1962
+ "epoch": 0.84,
1963
+ "learning_rate": 1.3466639207231882e-05,
1964
+ "loss": 1.1149,
1965
+ "step": 652
1966
+ },
1967
+ {
1968
+ "epoch": 0.84,
1969
+ "learning_rate": 1.3426840550588933e-05,
1970
+ "loss": 1.0834,
1971
+ "step": 654
1972
+ },
1973
+ {
1974
+ "epoch": 0.84,
1975
+ "learning_rate": 1.3386980297369308e-05,
1976
+ "loss": 1.0853,
1977
+ "step": 656
1978
+ },
1979
+ {
1980
+ "epoch": 0.84,
1981
+ "learning_rate": 1.3347059164050796e-05,
1982
+ "loss": 1.0994,
1983
+ "step": 658
1984
+ },
1985
+ {
1986
+ "epoch": 0.85,
1987
+ "learning_rate": 1.3307077868205487e-05,
1988
+ "loss": 1.127,
1989
+ "step": 660
1990
+ },
1991
+ {
1992
+ "epoch": 0.85,
1993
+ "learning_rate": 1.3267037128486883e-05,
1994
+ "loss": 1.1307,
1995
+ "step": 662
1996
+ },
1997
+ {
1998
+ "epoch": 0.85,
1999
+ "learning_rate": 1.3226937664616977e-05,
2000
+ "loss": 1.1151,
2001
+ "step": 664
2002
+ },
2003
+ {
2004
+ "epoch": 0.85,
2005
+ "learning_rate": 1.3186780197373306e-05,
2006
+ "loss": 1.1228,
2007
+ "step": 666
2008
+ },
2009
+ {
2010
+ "epoch": 0.86,
2011
+ "learning_rate": 1.3146565448576002e-05,
2012
+ "loss": 1.0869,
2013
+ "step": 668
2014
+ },
2015
+ {
2016
+ "epoch": 0.86,
2017
+ "learning_rate": 1.3106294141074825e-05,
2018
+ "loss": 1.0714,
2019
+ "step": 670
2020
+ },
2021
+ {
2022
+ "epoch": 0.86,
2023
+ "learning_rate": 1.3065966998736155e-05,
2024
+ "loss": 1.1025,
2025
+ "step": 672
2026
+ },
2027
+ {
2028
+ "epoch": 0.86,
2029
+ "learning_rate": 1.302558474643e-05,
2030
+ "loss": 1.0993,
2031
+ "step": 674
2032
+ },
2033
+ {
2034
+ "epoch": 0.87,
2035
+ "learning_rate": 1.2985148110016947e-05,
2036
+ "loss": 1.0594,
2037
+ "step": 676
2038
+ },
2039
+ {
2040
+ "epoch": 0.87,
2041
+ "learning_rate": 1.2944657816335124e-05,
2042
+ "loss": 1.0898,
2043
+ "step": 678
2044
+ },
2045
+ {
2046
+ "epoch": 0.87,
2047
+ "learning_rate": 1.2904114593187136e-05,
2048
+ "loss": 1.1221,
2049
+ "step": 680
2050
+ },
2051
+ {
2052
+ "epoch": 0.87,
2053
+ "learning_rate": 1.2863519169326984e-05,
2054
+ "loss": 1.1194,
2055
+ "step": 682
2056
+ },
2057
+ {
2058
+ "epoch": 0.88,
2059
+ "learning_rate": 1.2822872274446958e-05,
2060
+ "loss": 1.1323,
2061
+ "step": 684
2062
+ },
2063
+ {
2064
+ "epoch": 0.88,
2065
+ "learning_rate": 1.2782174639164528e-05,
2066
+ "loss": 1.1366,
2067
+ "step": 686
2068
+ },
2069
+ {
2070
+ "epoch": 0.88,
2071
+ "learning_rate": 1.2741426995009214e-05,
2072
+ "loss": 1.096,
2073
+ "step": 688
2074
+ },
2075
+ {
2076
+ "epoch": 0.88,
2077
+ "learning_rate": 1.2700630074409427e-05,
2078
+ "loss": 1.0622,
2079
+ "step": 690
2080
+ },
2081
+ {
2082
+ "epoch": 0.89,
2083
+ "learning_rate": 1.2659784610679318e-05,
2084
+ "loss": 1.1226,
2085
+ "step": 692
2086
+ },
2087
+ {
2088
+ "epoch": 0.89,
2089
+ "learning_rate": 1.2618891338005574e-05,
2090
+ "loss": 1.0771,
2091
+ "step": 694
2092
+ },
2093
+ {
2094
+ "epoch": 0.89,
2095
+ "learning_rate": 1.2577950991434249e-05,
2096
+ "loss": 1.1363,
2097
+ "step": 696
2098
+ },
2099
+ {
2100
+ "epoch": 0.89,
2101
+ "learning_rate": 1.2536964306857526e-05,
2102
+ "loss": 1.0735,
2103
+ "step": 698
2104
+ },
2105
+ {
2106
+ "epoch": 0.9,
2107
+ "learning_rate": 1.2495932021000516e-05,
2108
+ "loss": 1.0877,
2109
+ "step": 700
2110
+ },
2111
+ {
2112
+ "epoch": 0.9,
2113
+ "learning_rate": 1.2454854871407993e-05,
2114
+ "loss": 1.0683,
2115
+ "step": 702
2116
+ },
2117
+ {
2118
+ "epoch": 0.9,
2119
+ "learning_rate": 1.2413733596431141e-05,
2120
+ "loss": 1.1172,
2121
+ "step": 704
2122
+ },
2123
+ {
2124
+ "epoch": 0.91,
2125
+ "learning_rate": 1.2372568935214298e-05,
2126
+ "loss": 1.068,
2127
+ "step": 706
2128
+ },
2129
+ {
2130
+ "epoch": 0.91,
2131
+ "learning_rate": 1.2331361627681645e-05,
2132
+ "loss": 1.0995,
2133
+ "step": 708
2134
+ },
2135
+ {
2136
+ "epoch": 0.91,
2137
+ "learning_rate": 1.2290112414523927e-05,
2138
+ "loss": 1.0648,
2139
+ "step": 710
2140
+ },
2141
+ {
2142
+ "epoch": 0.91,
2143
+ "learning_rate": 1.2248822037185137e-05,
2144
+ "loss": 1.0978,
2145
+ "step": 712
2146
+ },
2147
+ {
2148
+ "epoch": 0.92,
2149
+ "learning_rate": 1.2207491237849174e-05,
2150
+ "loss": 1.0318,
2151
+ "step": 714
2152
+ },
2153
+ {
2154
+ "epoch": 0.92,
2155
+ "learning_rate": 1.2166120759426515e-05,
2156
+ "loss": 1.1007,
2157
+ "step": 716
2158
+ },
2159
+ {
2160
+ "epoch": 0.92,
2161
+ "learning_rate": 1.2124711345540861e-05,
2162
+ "loss": 1.0964,
2163
+ "step": 718
2164
+ },
2165
+ {
2166
+ "epoch": 0.92,
2167
+ "learning_rate": 1.2083263740515764e-05,
2168
+ "loss": 1.1559,
2169
+ "step": 720
2170
+ },
2171
+ {
2172
+ "epoch": 0.93,
2173
+ "learning_rate": 1.2041778689361254e-05,
2174
+ "loss": 1.1272,
2175
+ "step": 722
2176
+ },
2177
+ {
2178
+ "epoch": 0.93,
2179
+ "learning_rate": 1.2000256937760446e-05,
2180
+ "loss": 1.066,
2181
+ "step": 724
2182
+ },
2183
+ {
2184
+ "epoch": 0.93,
2185
+ "learning_rate": 1.1958699232056135e-05,
2186
+ "loss": 1.0868,
2187
+ "step": 726
2188
+ },
2189
+ {
2190
+ "epoch": 0.93,
2191
+ "learning_rate": 1.1917106319237386e-05,
2192
+ "loss": 1.0778,
2193
+ "step": 728
2194
+ },
2195
+ {
2196
+ "epoch": 0.94,
2197
+ "learning_rate": 1.1875478946926094e-05,
2198
+ "loss": 1.0461,
2199
+ "step": 730
2200
+ },
2201
+ {
2202
+ "epoch": 0.94,
2203
+ "learning_rate": 1.1833817863363563e-05,
2204
+ "loss": 1.0645,
2205
+ "step": 732
2206
+ },
2207
+ {
2208
+ "epoch": 0.94,
2209
+ "learning_rate": 1.1792123817397041e-05,
2210
+ "loss": 1.1091,
2211
+ "step": 734
2212
+ },
2213
+ {
2214
+ "epoch": 0.94,
2215
+ "learning_rate": 1.1750397558466273e-05,
2216
+ "loss": 1.1129,
2217
+ "step": 736
2218
+ },
2219
+ {
2220
+ "epoch": 0.95,
2221
+ "learning_rate": 1.1708639836590024e-05,
2222
+ "loss": 1.0704,
2223
+ "step": 738
2224
+ },
2225
+ {
2226
+ "epoch": 0.95,
2227
+ "learning_rate": 1.1666851402352587e-05,
2228
+ "loss": 1.0903,
2229
+ "step": 740
2230
+ },
2231
+ {
2232
+ "epoch": 0.95,
2233
+ "learning_rate": 1.1625033006890316e-05,
2234
+ "loss": 1.0858,
2235
+ "step": 742
2236
+ },
2237
+ {
2238
+ "epoch": 0.95,
2239
+ "learning_rate": 1.15831854018781e-05,
2240
+ "loss": 1.1189,
2241
+ "step": 744
2242
+ },
2243
+ {
2244
+ "epoch": 0.96,
2245
+ "learning_rate": 1.154130933951587e-05,
2246
+ "loss": 1.0825,
2247
+ "step": 746
2248
+ },
2249
+ {
2250
+ "epoch": 0.96,
2251
+ "learning_rate": 1.1499405572515059e-05,
2252
+ "loss": 1.0744,
2253
+ "step": 748
2254
+ },
2255
+ {
2256
+ "epoch": 0.96,
2257
+ "learning_rate": 1.1457474854085095e-05,
2258
+ "loss": 1.0701,
2259
+ "step": 750
2260
+ },
2261
+ {
2262
+ "epoch": 0.96,
2263
+ "learning_rate": 1.1415517937919846e-05,
2264
+ "loss": 1.0705,
2265
+ "step": 752
2266
+ },
2267
+ {
2268
+ "epoch": 0.97,
2269
+ "learning_rate": 1.1373535578184083e-05,
2270
+ "loss": 1.0532,
2271
+ "step": 754
2272
+ },
2273
+ {
2274
+ "epoch": 0.97,
2275
+ "learning_rate": 1.1331528529499909e-05,
2276
+ "loss": 1.1365,
2277
+ "step": 756
2278
+ },
2279
+ {
2280
+ "epoch": 0.97,
2281
+ "learning_rate": 1.1289497546933212e-05,
2282
+ "loss": 1.0797,
2283
+ "step": 758
2284
+ },
2285
+ {
2286
+ "epoch": 0.97,
2287
+ "learning_rate": 1.124744338598008e-05,
2288
+ "loss": 1.0715,
2289
+ "step": 760
2290
+ },
2291
+ {
2292
+ "epoch": 0.98,
2293
+ "learning_rate": 1.1205366802553231e-05,
2294
+ "loss": 1.1339,
2295
+ "step": 762
2296
+ },
2297
+ {
2298
+ "epoch": 0.98,
2299
+ "learning_rate": 1.1163268552968422e-05,
2300
+ "loss": 1.0962,
2301
+ "step": 764
2302
+ },
2303
+ {
2304
+ "epoch": 0.98,
2305
+ "learning_rate": 1.112114939393085e-05,
2306
+ "loss": 1.075,
2307
+ "step": 766
2308
+ },
2309
+ {
2310
+ "epoch": 0.98,
2311
+ "learning_rate": 1.1079010082521557e-05,
2312
+ "loss": 1.056,
2313
+ "step": 768
2314
+ },
2315
+ {
2316
+ "epoch": 0.99,
2317
+ "learning_rate": 1.1036851376183812e-05,
2318
+ "loss": 1.05,
2319
+ "step": 770
2320
+ },
2321
+ {
2322
+ "epoch": 0.99,
2323
+ "learning_rate": 1.0994674032709514e-05,
2324
+ "loss": 1.0404,
2325
+ "step": 772
2326
+ },
2327
+ {
2328
+ "epoch": 0.99,
2329
+ "learning_rate": 1.095247881022555e-05,
2330
+ "loss": 1.0539,
2331
+ "step": 774
2332
+ },
2333
+ {
2334
+ "epoch": 0.99,
2335
+ "learning_rate": 1.091026646718018e-05,
2336
+ "loss": 1.0554,
2337
+ "step": 776
2338
+ },
2339
+ {
2340
+ "epoch": 1.0,
2341
+ "learning_rate": 1.0868037762329405e-05,
2342
+ "loss": 1.0717,
2343
+ "step": 778
2344
+ },
2345
+ {
2346
+ "epoch": 1.0,
2347
+ "learning_rate": 1.0825793454723325e-05,
2348
+ "loss": 1.0589,
2349
+ "step": 780
2350
+ },
2351
+ {
2352
+ "epoch": 1.0,
2353
+ "learning_rate": 1.0783534303692493e-05,
2354
+ "loss": 0.7134,
2355
+ "step": 782
2356
+ },
2357
+ {
2358
+ "epoch": 1.01,
2359
+ "learning_rate": 1.0741261068834266e-05,
2360
+ "loss": 0.6371,
2361
+ "step": 784
2362
+ },
2363
+ {
2364
+ "epoch": 1.01,
2365
+ "learning_rate": 1.0698974509999159e-05,
2366
+ "loss": 0.6415,
2367
+ "step": 786
2368
+ },
2369
+ {
2370
+ "epoch": 1.01,
2371
+ "learning_rate": 1.0656675387277183e-05,
2372
+ "loss": 0.6547,
2373
+ "step": 788
2374
+ },
2375
+ {
2376
+ "epoch": 1.01,
2377
+ "learning_rate": 1.0614364460984178e-05,
2378
+ "loss": 0.6518,
2379
+ "step": 790
2380
+ },
2381
+ {
2382
+ "epoch": 1.02,
2383
+ "learning_rate": 1.057204249164815e-05,
2384
+ "loss": 0.672,
2385
+ "step": 792
2386
+ },
2387
+ {
2388
+ "epoch": 1.02,
2389
+ "learning_rate": 1.0529710239995606e-05,
2390
+ "loss": 0.669,
2391
+ "step": 794
2392
+ },
2393
+ {
2394
+ "epoch": 1.02,
2395
+ "learning_rate": 1.0487368466937866e-05,
2396
+ "loss": 0.6394,
2397
+ "step": 796
2398
+ },
2399
+ {
2400
+ "epoch": 1.02,
2401
+ "learning_rate": 1.0445017933557404e-05,
2402
+ "loss": 0.6664,
2403
+ "step": 798
2404
+ },
2405
+ {
2406
+ "epoch": 1.03,
2407
+ "learning_rate": 1.0402659401094154e-05,
2408
+ "loss": 0.6451,
2409
+ "step": 800
2410
+ },
2411
+ {
2412
+ "epoch": 1.03,
2413
+ "learning_rate": 1.036029363093183e-05,
2414
+ "loss": 0.6917,
2415
+ "step": 802
2416
+ },
2417
+ {
2418
+ "epoch": 1.03,
2419
+ "learning_rate": 1.0317921384584245e-05,
2420
+ "loss": 0.6579,
2421
+ "step": 804
2422
+ },
2423
+ {
2424
+ "epoch": 1.03,
2425
+ "learning_rate": 1.0275543423681622e-05,
2426
+ "loss": 0.6505,
2427
+ "step": 806
2428
+ },
2429
+ {
2430
+ "epoch": 1.04,
2431
+ "learning_rate": 1.0233160509956893e-05,
2432
+ "loss": 0.636,
2433
+ "step": 808
2434
+ },
2435
+ {
2436
+ "epoch": 1.04,
2437
+ "learning_rate": 1.0190773405232024e-05,
2438
+ "loss": 0.6344,
2439
+ "step": 810
2440
+ },
2441
+ {
2442
+ "epoch": 1.04,
2443
+ "learning_rate": 1.014838287140431e-05,
2444
+ "loss": 0.6315,
2445
+ "step": 812
2446
+ },
2447
+ {
2448
+ "epoch": 1.04,
2449
+ "learning_rate": 1.010598967043268e-05,
2450
+ "loss": 0.6549,
2451
+ "step": 814
2452
+ },
2453
+ {
2454
+ "epoch": 1.05,
2455
+ "learning_rate": 1.0063594564324014e-05,
2456
+ "loss": 0.6585,
2457
+ "step": 816
2458
+ },
2459
+ {
2460
+ "epoch": 1.05,
2461
+ "learning_rate": 1.0021198315119426e-05,
2462
+ "loss": 0.6358,
2463
+ "step": 818
2464
+ },
2465
+ {
2466
+ "epoch": 1.05,
2467
+ "learning_rate": 9.97880168488058e-06,
2468
+ "loss": 0.6627,
2469
+ "step": 820
2470
+ },
2471
+ {
2472
+ "epoch": 1.05,
2473
+ "learning_rate": 9.936405435675991e-06,
2474
+ "loss": 0.6451,
2475
+ "step": 822
2476
+ },
2477
+ {
2478
+ "epoch": 1.06,
2479
+ "learning_rate": 9.894010329567322e-06,
2480
+ "loss": 0.6304,
2481
+ "step": 824
2482
+ },
2483
+ {
2484
+ "epoch": 1.06,
2485
+ "learning_rate": 9.851617128595694e-06,
2486
+ "loss": 0.6271,
2487
+ "step": 826
2488
+ },
2489
+ {
2490
+ "epoch": 1.06,
2491
+ "learning_rate": 9.809226594767979e-06,
2492
+ "loss": 0.6649,
2493
+ "step": 828
2494
+ },
2495
+ {
2496
+ "epoch": 1.06,
2497
+ "learning_rate": 9.766839490043108e-06,
2498
+ "loss": 0.6811,
2499
+ "step": 830
2500
+ },
2501
+ {
2502
+ "epoch": 1.07,
2503
+ "learning_rate": 9.724456576318383e-06,
2504
+ "loss": 0.6136,
2505
+ "step": 832
2506
+ },
2507
+ {
2508
+ "epoch": 1.07,
2509
+ "learning_rate": 9.682078615415755e-06,
2510
+ "loss": 0.6876,
2511
+ "step": 834
2512
+ },
2513
+ {
2514
+ "epoch": 1.07,
2515
+ "learning_rate": 9.63970636906817e-06,
2516
+ "loss": 0.6612,
2517
+ "step": 836
2518
+ },
2519
+ {
2520
+ "epoch": 1.07,
2521
+ "learning_rate": 9.597340598905851e-06,
2522
+ "loss": 0.6553,
2523
+ "step": 838
2524
+ },
2525
+ {
2526
+ "epoch": 1.08,
2527
+ "learning_rate": 9.554982066442601e-06,
2528
+ "loss": 0.6467,
2529
+ "step": 840
2530
+ },
2531
+ {
2532
+ "epoch": 1.08,
2533
+ "learning_rate": 9.512631533062138e-06,
2534
+ "loss": 0.6705,
2535
+ "step": 842
2536
+ },
2537
+ {
2538
+ "epoch": 1.08,
2539
+ "learning_rate": 9.470289760004398e-06,
2540
+ "loss": 0.6552,
2541
+ "step": 844
2542
+ },
2543
+ {
2544
+ "epoch": 1.08,
2545
+ "learning_rate": 9.427957508351852e-06,
2546
+ "loss": 0.6369,
2547
+ "step": 846
2548
+ },
2549
+ {
2550
+ "epoch": 1.09,
2551
+ "learning_rate": 9.385635539015824e-06,
2552
+ "loss": 0.6447,
2553
+ "step": 848
2554
+ },
2555
+ {
2556
+ "epoch": 1.09,
2557
+ "learning_rate": 9.343324612722819e-06,
2558
+ "loss": 0.6566,
2559
+ "step": 850
2560
+ },
2561
+ {
2562
+ "epoch": 1.09,
2563
+ "learning_rate": 9.301025490000843e-06,
2564
+ "loss": 0.6285,
2565
+ "step": 852
2566
+ },
2567
+ {
2568
+ "epoch": 1.09,
2569
+ "learning_rate": 9.25873893116574e-06,
2570
+ "loss": 0.6479,
2571
+ "step": 854
2572
+ },
2573
+ {
2574
+ "epoch": 1.1,
2575
+ "learning_rate": 9.216465696307513e-06,
2576
+ "loss": 0.6463,
2577
+ "step": 856
2578
+ },
2579
+ {
2580
+ "epoch": 1.1,
2581
+ "learning_rate": 9.174206545276678e-06,
2582
+ "loss": 0.6277,
2583
+ "step": 858
2584
+ },
2585
+ {
2586
+ "epoch": 1.1,
2587
+ "learning_rate": 9.131962237670599e-06,
2588
+ "loss": 0.6608,
2589
+ "step": 860
2590
+ },
2591
+ {
2592
+ "epoch": 1.11,
2593
+ "learning_rate": 9.089733532819825e-06,
2594
+ "loss": 0.6512,
2595
+ "step": 862
2596
+ },
2597
+ {
2598
+ "epoch": 1.11,
2599
+ "learning_rate": 9.047521189774456e-06,
2600
+ "loss": 0.6306,
2601
+ "step": 864
2602
+ },
2603
+ {
2604
+ "epoch": 1.11,
2605
+ "learning_rate": 9.005325967290489e-06,
2606
+ "loss": 0.6236,
2607
+ "step": 866
2608
+ },
2609
+ {
2610
+ "epoch": 1.11,
2611
+ "learning_rate": 8.963148623816191e-06,
2612
+ "loss": 0.653,
2613
+ "step": 868
2614
+ },
2615
+ {
2616
+ "epoch": 1.12,
2617
+ "learning_rate": 8.920989917478446e-06,
2618
+ "loss": 0.656,
2619
+ "step": 870
2620
+ },
2621
+ {
2622
+ "epoch": 1.12,
2623
+ "learning_rate": 8.878850606069152e-06,
2624
+ "loss": 0.6556,
2625
+ "step": 872
2626
+ },
2627
+ {
2628
+ "epoch": 1.12,
2629
+ "learning_rate": 8.836731447031581e-06,
2630
+ "loss": 0.6574,
2631
+ "step": 874
2632
+ },
2633
+ {
2634
+ "epoch": 1.12,
2635
+ "learning_rate": 8.79463319744677e-06,
2636
+ "loss": 0.6456,
2637
+ "step": 876
2638
+ },
2639
+ {
2640
+ "epoch": 1.13,
2641
+ "learning_rate": 8.752556614019924e-06,
2642
+ "loss": 0.6353,
2643
+ "step": 878
2644
+ },
2645
+ {
2646
+ "epoch": 1.13,
2647
+ "learning_rate": 8.710502453066791e-06,
2648
+ "loss": 0.6369,
2649
+ "step": 880
2650
+ },
2651
+ {
2652
+ "epoch": 1.13,
2653
+ "learning_rate": 8.668471470500094e-06,
2654
+ "loss": 0.6316,
2655
+ "step": 882
2656
+ },
2657
+ {
2658
+ "epoch": 1.13,
2659
+ "learning_rate": 8.626464421815919e-06,
2660
+ "loss": 0.6415,
2661
+ "step": 884
2662
+ },
2663
+ {
2664
+ "epoch": 1.14,
2665
+ "learning_rate": 8.584482062080154e-06,
2666
+ "loss": 0.6522,
2667
+ "step": 886
2668
+ },
2669
+ {
2670
+ "epoch": 1.14,
2671
+ "learning_rate": 8.542525145914907e-06,
2672
+ "loss": 0.6476,
2673
+ "step": 888
2674
+ },
2675
+ {
2676
+ "epoch": 1.14,
2677
+ "learning_rate": 8.500594427484946e-06,
2678
+ "loss": 0.625,
2679
+ "step": 890
2680
+ },
2681
+ {
2682
+ "epoch": 1.14,
2683
+ "learning_rate": 8.458690660484134e-06,
2684
+ "loss": 0.6545,
2685
+ "step": 892
2686
+ },
2687
+ {
2688
+ "epoch": 1.15,
2689
+ "learning_rate": 8.416814598121901e-06,
2690
+ "loss": 0.6584,
2691
+ "step": 894
2692
+ },
2693
+ {
2694
+ "epoch": 1.15,
2695
+ "learning_rate": 8.374966993109689e-06,
2696
+ "loss": 0.6388,
2697
+ "step": 896
2698
+ },
2699
+ {
2700
+ "epoch": 1.15,
2701
+ "learning_rate": 8.333148597647414e-06,
2702
+ "loss": 0.6499,
2703
+ "step": 898
2704
+ },
2705
+ {
2706
+ "epoch": 1.15,
2707
+ "learning_rate": 8.291360163409978e-06,
2708
+ "loss": 0.6556,
2709
+ "step": 900
2710
+ },
2711
+ {
2712
+ "epoch": 1.16,
2713
+ "learning_rate": 8.249602441533727e-06,
2714
+ "loss": 0.6359,
2715
+ "step": 902
2716
+ },
2717
+ {
2718
+ "epoch": 1.16,
2719
+ "learning_rate": 8.207876182602959e-06,
2720
+ "loss": 0.612,
2721
+ "step": 904
2722
+ },
2723
+ {
2724
+ "epoch": 1.16,
2725
+ "learning_rate": 8.16618213663644e-06,
2726
+ "loss": 0.6158,
2727
+ "step": 906
2728
+ },
2729
+ {
2730
+ "epoch": 1.16,
2731
+ "learning_rate": 8.12452105307391e-06,
2732
+ "loss": 0.6362,
2733
+ "step": 908
2734
+ },
2735
+ {
2736
+ "epoch": 1.17,
2737
+ "learning_rate": 8.082893680762619e-06,
2738
+ "loss": 0.6402,
2739
+ "step": 910
2740
+ },
2741
+ {
2742
+ "epoch": 1.17,
2743
+ "learning_rate": 8.041300767943867e-06,
2744
+ "loss": 0.6629,
2745
+ "step": 912
2746
+ },
2747
+ {
2748
+ "epoch": 1.17,
2749
+ "learning_rate": 7.999743062239557e-06,
2750
+ "loss": 0.6136,
2751
+ "step": 914
2752
+ },
2753
+ {
2754
+ "epoch": 1.17,
2755
+ "learning_rate": 7.958221310638749e-06,
2756
+ "loss": 0.6517,
2757
+ "step": 916
2758
+ },
2759
+ {
2760
+ "epoch": 1.18,
2761
+ "learning_rate": 7.916736259484239e-06,
2762
+ "loss": 0.6635,
2763
+ "step": 918
2764
+ },
2765
+ {
2766
+ "epoch": 1.18,
2767
+ "learning_rate": 7.875288654459144e-06,
2768
+ "loss": 0.6405,
2769
+ "step": 920
2770
+ },
2771
+ {
2772
+ "epoch": 1.18,
2773
+ "learning_rate": 7.833879240573487e-06,
2774
+ "loss": 0.6242,
2775
+ "step": 922
2776
+ },
2777
+ {
2778
+ "epoch": 1.18,
2779
+ "learning_rate": 7.792508762150833e-06,
2780
+ "loss": 0.6642,
2781
+ "step": 924
2782
+ },
2783
+ {
2784
+ "epoch": 1.19,
2785
+ "learning_rate": 7.751177962814867e-06,
2786
+ "loss": 0.6297,
2787
+ "step": 926
2788
+ },
2789
+ {
2790
+ "epoch": 1.19,
2791
+ "learning_rate": 7.709887585476075e-06,
2792
+ "loss": 0.6458,
2793
+ "step": 928
2794
+ },
2795
+ {
2796
+ "epoch": 1.19,
2797
+ "learning_rate": 7.668638372318359e-06,
2798
+ "loss": 0.6413,
2799
+ "step": 930
2800
+ },
2801
+ {
2802
+ "epoch": 1.19,
2803
+ "learning_rate": 7.627431064785705e-06,
2804
+ "loss": 0.6093,
2805
+ "step": 932
2806
+ },
2807
+ {
2808
+ "epoch": 1.2,
2809
+ "learning_rate": 7.5862664035688604e-06,
2810
+ "loss": 0.6088,
2811
+ "step": 934
2812
+ },
2813
+ {
2814
+ "epoch": 1.2,
2815
+ "learning_rate": 7.545145128592009e-06,
2816
+ "loss": 0.628,
2817
+ "step": 936
2818
+ },
2819
+ {
2820
+ "epoch": 1.2,
2821
+ "learning_rate": 7.504067978999484e-06,
2822
+ "loss": 0.6382,
2823
+ "step": 938
2824
+ },
2825
+ {
2826
+ "epoch": 1.21,
2827
+ "learning_rate": 7.463035693142473e-06,
2828
+ "loss": 0.6458,
2829
+ "step": 940
2830
+ },
2831
+ {
2832
+ "epoch": 1.21,
2833
+ "learning_rate": 7.422049008565757e-06,
2834
+ "loss": 0.638,
2835
+ "step": 942
2836
+ },
2837
+ {
2838
+ "epoch": 1.21,
2839
+ "learning_rate": 7.38110866199443e-06,
2840
+ "loss": 0.6704,
2841
+ "step": 944
2842
+ },
2843
+ {
2844
+ "epoch": 1.21,
2845
+ "learning_rate": 7.340215389320686e-06,
2846
+ "loss": 0.6049,
2847
+ "step": 946
2848
+ },
2849
+ {
2850
+ "epoch": 1.22,
2851
+ "learning_rate": 7.299369925590575e-06,
2852
+ "loss": 0.6124,
2853
+ "step": 948
2854
+ },
2855
+ {
2856
+ "epoch": 1.22,
2857
+ "learning_rate": 7.258573004990789e-06,
2858
+ "loss": 0.6417,
2859
+ "step": 950
2860
+ },
2861
+ {
2862
+ "epoch": 1.22,
2863
+ "learning_rate": 7.217825360835475e-06,
2864
+ "loss": 0.6359,
2865
+ "step": 952
2866
+ },
2867
+ {
2868
+ "epoch": 1.22,
2869
+ "learning_rate": 7.1771277255530456e-06,
2870
+ "loss": 0.6347,
2871
+ "step": 954
2872
+ },
2873
+ {
2874
+ "epoch": 1.23,
2875
+ "learning_rate": 7.136480830673018e-06,
2876
+ "loss": 0.6138,
2877
+ "step": 956
2878
+ },
2879
+ {
2880
+ "epoch": 1.23,
2881
+ "learning_rate": 7.095885406812866e-06,
2882
+ "loss": 0.6218,
2883
+ "step": 958
2884
+ },
2885
+ {
2886
+ "epoch": 1.23,
2887
+ "learning_rate": 7.05534218366488e-06,
2888
+ "loss": 0.614,
2889
+ "step": 960
2890
+ },
2891
+ {
2892
+ "epoch": 1.23,
2893
+ "learning_rate": 7.014851889983058e-06,
2894
+ "loss": 0.6245,
2895
+ "step": 962
2896
+ },
2897
+ {
2898
+ "epoch": 1.24,
2899
+ "learning_rate": 6.974415253570003e-06,
2900
+ "loss": 0.6275,
2901
+ "step": 964
2902
+ },
2903
+ {
2904
+ "epoch": 1.24,
2905
+ "learning_rate": 6.934033001263847e-06,
2906
+ "loss": 0.6227,
2907
+ "step": 966
2908
+ },
2909
+ {
2910
+ "epoch": 1.24,
2911
+ "learning_rate": 6.893705858925179e-06,
2912
+ "loss": 0.6287,
2913
+ "step": 968
2914
+ },
2915
+ {
2916
+ "epoch": 1.24,
2917
+ "learning_rate": 6.853434551424001e-06,
2918
+ "loss": 0.6074,
2919
+ "step": 970
2920
+ },
2921
+ {
2922
+ "epoch": 1.25,
2923
+ "learning_rate": 6.813219802626698e-06,
2924
+ "loss": 0.6325,
2925
+ "step": 972
2926
+ },
2927
+ {
2928
+ "epoch": 1.25,
2929
+ "learning_rate": 6.773062335383024e-06,
2930
+ "loss": 0.6666,
2931
+ "step": 974
2932
+ },
2933
+ {
2934
+ "epoch": 1.25,
2935
+ "learning_rate": 6.73296287151312e-06,
2936
+ "loss": 0.6135,
2937
+ "step": 976
2938
+ },
2939
+ {
2940
+ "epoch": 1.25,
2941
+ "learning_rate": 6.692922131794517e-06,
2942
+ "loss": 0.5956,
2943
+ "step": 978
2944
+ },
2945
+ {
2946
+ "epoch": 1.26,
2947
+ "learning_rate": 6.652940835949208e-06,
2948
+ "loss": 0.5967,
2949
+ "step": 980
2950
+ },
2951
+ {
2952
+ "epoch": 1.26,
2953
+ "learning_rate": 6.6130197026306945e-06,
2954
+ "loss": 0.6195,
2955
+ "step": 982
2956
+ },
2957
+ {
2958
+ "epoch": 1.26,
2959
+ "learning_rate": 6.573159449411071e-06,
2960
+ "loss": 0.6283,
2961
+ "step": 984
2962
+ },
2963
+ {
2964
+ "epoch": 1.26,
2965
+ "learning_rate": 6.533360792768122e-06,
2966
+ "loss": 0.6356,
2967
+ "step": 986
2968
+ },
2969
+ {
2970
+ "epoch": 1.27,
2971
+ "learning_rate": 6.4936244480724575e-06,
2972
+ "loss": 0.595,
2973
+ "step": 988
2974
+ },
2975
+ {
2976
+ "epoch": 1.27,
2977
+ "learning_rate": 6.453951129574644e-06,
2978
+ "loss": 0.6115,
2979
+ "step": 990
2980
+ },
2981
+ {
2982
+ "epoch": 1.27,
2983
+ "learning_rate": 6.4143415503923676e-06,
2984
+ "loss": 0.6164,
2985
+ "step": 992
2986
+ },
2987
+ {
2988
+ "epoch": 1.27,
2989
+ "learning_rate": 6.374796422497622e-06,
2990
+ "loss": 0.628,
2991
+ "step": 994
2992
+ },
2993
+ {
2994
+ "epoch": 1.28,
2995
+ "learning_rate": 6.335316456703891e-06,
2996
+ "loss": 0.6135,
2997
+ "step": 996
2998
+ },
2999
+ {
3000
+ "epoch": 1.28,
3001
+ "learning_rate": 6.295902362653401e-06,
3002
+ "loss": 0.6223,
3003
+ "step": 998
3004
+ },
3005
+ {
3006
+ "epoch": 1.28,
3007
+ "learning_rate": 6.256554848804343e-06,
3008
+ "loss": 0.6014,
3009
+ "step": 1000
3010
+ },
3011
+ {
3012
+ "epoch": 1.28,
3013
+ "learning_rate": 6.2172746224181524e-06,
3014
+ "loss": 0.6463,
3015
+ "step": 1002
3016
+ },
3017
+ {
3018
+ "epoch": 1.29,
3019
+ "learning_rate": 6.178062389546784e-06,
3020
+ "loss": 0.6153,
3021
+ "step": 1004
3022
+ },
3023
+ {
3024
+ "epoch": 1.29,
3025
+ "learning_rate": 6.138918855020028e-06,
3026
+ "loss": 0.6424,
3027
+ "step": 1006
3028
+ },
3029
+ {
3030
+ "epoch": 1.29,
3031
+ "learning_rate": 6.099844722432844e-06,
3032
+ "loss": 0.6166,
3033
+ "step": 1008
3034
+ },
3035
+ {
3036
+ "epoch": 1.29,
3037
+ "learning_rate": 6.060840694132701e-06,
3038
+ "loss": 0.6097,
3039
+ "step": 1010
3040
+ },
3041
+ {
3042
+ "epoch": 1.3,
3043
+ "learning_rate": 6.021907471206971e-06,
3044
+ "loss": 0.6262,
3045
+ "step": 1012
3046
+ },
3047
+ {
3048
+ "epoch": 1.3,
3049
+ "learning_rate": 5.983045753470308e-06,
3050
+ "loss": 0.6141,
3051
+ "step": 1014
3052
+ },
3053
+ {
3054
+ "epoch": 1.3,
3055
+ "learning_rate": 5.944256239452085e-06,
3056
+ "loss": 0.6047,
3057
+ "step": 1016
3058
+ },
3059
+ {
3060
+ "epoch": 1.31,
3061
+ "learning_rate": 5.905539626383831e-06,
3062
+ "loss": 0.6547,
3063
+ "step": 1018
3064
+ },
3065
+ {
3066
+ "epoch": 1.31,
3067
+ "learning_rate": 5.866896610186701e-06,
3068
+ "loss": 0.5995,
3069
+ "step": 1020
3070
+ },
3071
+ {
3072
+ "epoch": 1.31,
3073
+ "learning_rate": 5.82832788545896e-06,
3074
+ "loss": 0.6131,
3075
+ "step": 1022
3076
+ },
3077
+ {
3078
+ "epoch": 1.31,
3079
+ "learning_rate": 5.789834145463506e-06,
3080
+ "loss": 0.6484,
3081
+ "step": 1024
3082
+ },
3083
+ {
3084
+ "epoch": 1.32,
3085
+ "learning_rate": 5.7514160821154085e-06,
3086
+ "loss": 0.6497,
3087
+ "step": 1026
3088
+ },
3089
+ {
3090
+ "epoch": 1.32,
3091
+ "learning_rate": 5.713074385969457e-06,
3092
+ "loss": 0.6031,
3093
+ "step": 1028
3094
+ },
3095
+ {
3096
+ "epoch": 1.32,
3097
+ "learning_rate": 5.67480974620778e-06,
3098
+ "loss": 0.6294,
3099
+ "step": 1030
3100
+ },
3101
+ {
3102
+ "epoch": 1.32,
3103
+ "learning_rate": 5.63662285062742e-06,
3104
+ "loss": 0.6053,
3105
+ "step": 1032
3106
+ },
3107
+ {
3108
+ "epoch": 1.33,
3109
+ "learning_rate": 5.598514385627997e-06,
3110
+ "loss": 0.622,
3111
+ "step": 1034
3112
+ },
3113
+ {
3114
+ "epoch": 1.33,
3115
+ "learning_rate": 5.56048503619935e-06,
3116
+ "loss": 0.6325,
3117
+ "step": 1036
3118
+ },
3119
+ {
3120
+ "epoch": 1.33,
3121
+ "learning_rate": 5.522535485909258e-06,
3122
+ "loss": 0.6111,
3123
+ "step": 1038
3124
+ },
3125
+ {
3126
+ "epoch": 1.33,
3127
+ "learning_rate": 5.484666416891109e-06,
3128
+ "loss": 0.6061,
3129
+ "step": 1040
3130
+ },
3131
+ {
3132
+ "epoch": 1.34,
3133
+ "learning_rate": 5.446878509831668e-06,
3134
+ "loss": 0.5885,
3135
+ "step": 1042
3136
+ },
3137
+ {
3138
+ "epoch": 1.34,
3139
+ "learning_rate": 5.409172443958844e-06,
3140
+ "loss": 0.6158,
3141
+ "step": 1044
3142
+ },
3143
+ {
3144
+ "epoch": 1.34,
3145
+ "learning_rate": 5.371548897029457e-06,
3146
+ "loss": 0.6153,
3147
+ "step": 1046
3148
+ },
3149
+ {
3150
+ "epoch": 1.34,
3151
+ "learning_rate": 5.334008545317082e-06,
3152
+ "loss": 0.5985,
3153
+ "step": 1048
3154
+ },
3155
+ {
3156
+ "epoch": 1.35,
3157
+ "learning_rate": 5.2965520635998676e-06,
3158
+ "loss": 0.6004,
3159
+ "step": 1050
3160
+ },
3161
+ {
3162
+ "epoch": 1.35,
3163
+ "learning_rate": 5.259180125148442e-06,
3164
+ "loss": 0.6108,
3165
+ "step": 1052
3166
+ },
3167
+ {
3168
+ "epoch": 1.35,
3169
+ "learning_rate": 5.22189340171377e-06,
3170
+ "loss": 0.6343,
3171
+ "step": 1054
3172
+ },
3173
+ {
3174
+ "epoch": 1.35,
3175
+ "learning_rate": 5.184692563515104e-06,
3176
+ "loss": 0.6376,
3177
+ "step": 1056
3178
+ },
3179
+ {
3180
+ "epoch": 1.36,
3181
+ "learning_rate": 5.147578279227943e-06,
3182
+ "loss": 0.5997,
3183
+ "step": 1058
3184
+ },
3185
+ {
3186
+ "epoch": 1.36,
3187
+ "learning_rate": 5.110551215971981e-06,
3188
+ "loss": 0.6192,
3189
+ "step": 1060
3190
+ },
3191
+ {
3192
+ "epoch": 1.36,
3193
+ "learning_rate": 5.073612039299157e-06,
3194
+ "loss": 0.6276,
3195
+ "step": 1062
3196
+ },
3197
+ {
3198
+ "epoch": 1.36,
3199
+ "learning_rate": 5.036761413181659e-06,
3200
+ "loss": 0.6493,
3201
+ "step": 1064
3202
+ },
3203
+ {
3204
+ "epoch": 1.37,
3205
+ "learning_rate": 5.000000000000003e-06,
3206
+ "loss": 0.5993,
3207
+ "step": 1066
3208
+ },
3209
+ {
3210
+ "epoch": 1.37,
3211
+ "learning_rate": 4.963328460531127e-06,
3212
+ "loss": 0.5804,
3213
+ "step": 1068
3214
+ },
3215
+ {
3216
+ "epoch": 1.37,
3217
+ "learning_rate": 4.926747453936509e-06,
3218
+ "loss": 0.6444,
3219
+ "step": 1070
3220
+ },
3221
+ {
3222
+ "epoch": 1.37,
3223
+ "learning_rate": 4.890257637750332e-06,
3224
+ "loss": 0.6287,
3225
+ "step": 1072
3226
+ },
3227
+ {
3228
+ "epoch": 1.38,
3229
+ "learning_rate": 4.853859667867641e-06,
3230
+ "loss": 0.5872,
3231
+ "step": 1074
3232
+ },
3233
+ {
3234
+ "epoch": 1.38,
3235
+ "learning_rate": 4.817554198532582e-06,
3236
+ "loss": 0.6015,
3237
+ "step": 1076
3238
+ },
3239
+ {
3240
+ "epoch": 1.38,
3241
+ "learning_rate": 4.781341882326615e-06,
3242
+ "loss": 0.5941,
3243
+ "step": 1078
3244
+ },
3245
+ {
3246
+ "epoch": 1.38,
3247
+ "learning_rate": 4.745223370156797e-06,
3248
+ "loss": 0.6406,
3249
+ "step": 1080
3250
+ },
3251
+ {
3252
+ "epoch": 1.39,
3253
+ "learning_rate": 4.709199311244098e-06,
3254
+ "loss": 0.6334,
3255
+ "step": 1082
3256
+ },
3257
+ {
3258
+ "epoch": 1.39,
3259
+ "learning_rate": 4.673270353111687e-06,
3260
+ "loss": 0.647,
3261
+ "step": 1084
3262
+ },
3263
+ {
3264
+ "epoch": 1.39,
3265
+ "learning_rate": 4.63743714157335e-06,
3266
+ "loss": 0.6168,
3267
+ "step": 1086
3268
+ },
3269
+ {
3270
+ "epoch": 1.39,
3271
+ "learning_rate": 4.6017003207218294e-06,
3272
+ "loss": 0.595,
3273
+ "step": 1088
3274
+ },
3275
+ {
3276
+ "epoch": 1.4,
3277
+ "learning_rate": 4.566060532917288e-06,
3278
+ "loss": 0.6195,
3279
+ "step": 1090
3280
+ },
3281
+ {
3282
+ "epoch": 1.4,
3283
+ "learning_rate": 4.530518418775734e-06,
3284
+ "loss": 0.6084,
3285
+ "step": 1092
3286
+ },
3287
+ {
3288
+ "epoch": 1.4,
3289
+ "learning_rate": 4.4950746171575135e-06,
3290
+ "loss": 0.5976,
3291
+ "step": 1094
3292
+ },
3293
+ {
3294
+ "epoch": 1.41,
3295
+ "learning_rate": 4.459729765155842e-06,
3296
+ "loss": 0.6086,
3297
+ "step": 1096
3298
+ },
3299
+ {
3300
+ "epoch": 1.41,
3301
+ "learning_rate": 4.424484498085335e-06,
3302
+ "loss": 0.5855,
3303
+ "step": 1098
3304
+ },
3305
+ {
3306
+ "epoch": 1.41,
3307
+ "learning_rate": 4.389339449470592e-06,
3308
+ "loss": 0.6503,
3309
+ "step": 1100
3310
+ },
3311
+ {
3312
+ "epoch": 1.41,
3313
+ "learning_rate": 4.354295251034811e-06,
3314
+ "loss": 0.6035,
3315
+ "step": 1102
3316
+ },
3317
+ {
3318
+ "epoch": 1.42,
3319
+ "learning_rate": 4.319352532688444e-06,
3320
+ "loss": 0.5885,
3321
+ "step": 1104
3322
+ },
3323
+ {
3324
+ "epoch": 1.42,
3325
+ "learning_rate": 4.284511922517853e-06,
3326
+ "loss": 0.5765,
3327
+ "step": 1106
3328
+ },
3329
+ {
3330
+ "epoch": 1.42,
3331
+ "learning_rate": 4.249774046774034e-06,
3332
+ "loss": 0.6631,
3333
+ "step": 1108
3334
+ },
3335
+ {
3336
+ "epoch": 1.42,
3337
+ "learning_rate": 4.2151395298613675e-06,
3338
+ "loss": 0.6236,
3339
+ "step": 1110
3340
+ },
3341
+ {
3342
+ "epoch": 1.43,
3343
+ "learning_rate": 4.180608994326371e-06,
3344
+ "loss": 0.6516,
3345
+ "step": 1112
3346
+ },
3347
+ {
3348
+ "epoch": 1.43,
3349
+ "learning_rate": 4.1461830608465385e-06,
3350
+ "loss": 0.6293,
3351
+ "step": 1114
3352
+ },
3353
+ {
3354
+ "epoch": 1.43,
3355
+ "learning_rate": 4.111862348219158e-06,
3356
+ "loss": 0.6361,
3357
+ "step": 1116
3358
+ },
3359
+ {
3360
+ "epoch": 1.43,
3361
+ "learning_rate": 4.077647473350201e-06,
3362
+ "loss": 0.6274,
3363
+ "step": 1118
3364
+ },
3365
+ {
3366
+ "epoch": 1.44,
3367
+ "learning_rate": 4.04353905124324e-06,
3368
+ "loss": 0.6109,
3369
+ "step": 1120
3370
+ },
3371
+ {
3372
+ "epoch": 1.44,
3373
+ "learning_rate": 4.009537694988372e-06,
3374
+ "loss": 0.5974,
3375
+ "step": 1122
3376
+ },
3377
+ {
3378
+ "epoch": 1.44,
3379
+ "learning_rate": 3.975644015751234e-06,
3380
+ "loss": 0.5849,
3381
+ "step": 1124
3382
+ },
3383
+ {
3384
+ "epoch": 1.44,
3385
+ "learning_rate": 3.941858622761975e-06,
3386
+ "loss": 0.6025,
3387
+ "step": 1126
3388
+ },
3389
+ {
3390
+ "epoch": 1.45,
3391
+ "learning_rate": 3.908182123304344e-06,
3392
+ "loss": 0.6323,
3393
+ "step": 1128
3394
+ },
3395
+ {
3396
+ "epoch": 1.45,
3397
+ "learning_rate": 3.8746151227047455e-06,
3398
+ "loss": 0.58,
3399
+ "step": 1130
3400
+ },
3401
+ {
3402
+ "epoch": 1.45,
3403
+ "learning_rate": 3.84115822432137e-06,
3404
+ "loss": 0.631,
3405
+ "step": 1132
3406
+ },
3407
+ {
3408
+ "epoch": 1.45,
3409
+ "learning_rate": 3.807812029533362e-06,
3410
+ "loss": 0.6424,
3411
+ "step": 1134
3412
+ },
3413
+ {
3414
+ "epoch": 1.46,
3415
+ "learning_rate": 3.7745771377299758e-06,
3416
+ "loss": 0.6061,
3417
+ "step": 1136
3418
+ },
3419
+ {
3420
+ "epoch": 1.46,
3421
+ "learning_rate": 3.7414541462998446e-06,
3422
+ "loss": 0.6172,
3423
+ "step": 1138
3424
+ },
3425
+ {
3426
+ "epoch": 1.46,
3427
+ "learning_rate": 3.708443650620206e-06,
3428
+ "loss": 0.6402,
3429
+ "step": 1140
3430
+ },
3431
+ {
3432
+ "epoch": 1.46,
3433
+ "learning_rate": 3.6755462440462288e-06,
3434
+ "loss": 0.5702,
3435
+ "step": 1142
3436
+ },
3437
+ {
3438
+ "epoch": 1.47,
3439
+ "learning_rate": 3.6427625179003223e-06,
3440
+ "loss": 0.6181,
3441
+ "step": 1144
3442
+ },
3443
+ {
3444
+ "epoch": 1.47,
3445
+ "learning_rate": 3.6100930614615204e-06,
3446
+ "loss": 0.6158,
3447
+ "step": 1146
3448
+ },
3449
+ {
3450
+ "epoch": 1.47,
3451
+ "learning_rate": 3.5775384619549e-06,
3452
+ "loss": 0.586,
3453
+ "step": 1148
3454
+ },
3455
+ {
3456
+ "epoch": 1.47,
3457
+ "learning_rate": 3.5450993045409997e-06,
3458
+ "loss": 0.6334,
3459
+ "step": 1150
3460
+ },
3461
+ {
3462
+ "epoch": 1.48,
3463
+ "learning_rate": 3.5127761723053313e-06,
3464
+ "loss": 0.5789,
3465
+ "step": 1152
3466
+ },
3467
+ {
3468
+ "epoch": 1.48,
3469
+ "learning_rate": 3.4805696462478634e-06,
3470
+ "loss": 0.6111,
3471
+ "step": 1154
3472
+ },
3473
+ {
3474
+ "epoch": 1.48,
3475
+ "learning_rate": 3.448480305272619e-06,
3476
+ "loss": 0.5845,
3477
+ "step": 1156
3478
+ },
3479
+ {
3480
+ "epoch": 1.48,
3481
+ "learning_rate": 3.41650872617724e-06,
3482
+ "loss": 0.6199,
3483
+ "step": 1158
3484
+ },
3485
+ {
3486
+ "epoch": 1.49,
3487
+ "learning_rate": 3.384655483642624e-06,
3488
+ "loss": 0.6317,
3489
+ "step": 1160
3490
+ },
3491
+ {
3492
+ "epoch": 1.49,
3493
+ "learning_rate": 3.352921150222612e-06,
3494
+ "loss": 0.6299,
3495
+ "step": 1162
3496
+ },
3497
+ {
3498
+ "epoch": 1.49,
3499
+ "learning_rate": 3.321306296333673e-06,
3500
+ "loss": 0.5978,
3501
+ "step": 1164
3502
+ },
3503
+ {
3504
+ "epoch": 1.49,
3505
+ "learning_rate": 3.2898114902446708e-06,
3506
+ "loss": 0.6216,
3507
+ "step": 1166
3508
+ },
3509
+ {
3510
+ "epoch": 1.5,
3511
+ "learning_rate": 3.2584372980666344e-06,
3512
+ "loss": 0.619,
3513
+ "step": 1168
3514
+ },
3515
+ {
3516
+ "epoch": 1.5,
3517
+ "learning_rate": 3.2271842837425917e-06,
3518
+ "loss": 0.6271,
3519
+ "step": 1170
3520
+ },
3521
+ {
3522
+ "epoch": 1.5,
3523
+ "learning_rate": 3.1960530090374277e-06,
3524
+ "loss": 0.5788,
3525
+ "step": 1172
3526
+ },
3527
+ {
3528
+ "epoch": 1.51,
3529
+ "learning_rate": 3.165044033527789e-06,
3530
+ "loss": 0.5523,
3531
+ "step": 1174
3532
+ },
3533
+ {
3534
+ "epoch": 1.51,
3535
+ "learning_rate": 3.134157914592032e-06,
3536
+ "loss": 0.5863,
3537
+ "step": 1176
3538
+ },
3539
+ {
3540
+ "epoch": 1.51,
3541
+ "learning_rate": 3.1033952074001882e-06,
3542
+ "loss": 0.6359,
3543
+ "step": 1178
3544
+ },
3545
+ {
3546
+ "epoch": 1.51,
3547
+ "learning_rate": 3.0727564649040066e-06,
3548
+ "loss": 0.6057,
3549
+ "step": 1180
3550
+ },
3551
+ {
3552
+ "epoch": 1.52,
3553
+ "learning_rate": 3.042242237826991e-06,
3554
+ "loss": 0.5813,
3555
+ "step": 1182
3556
+ },
3557
+ {
3558
+ "epoch": 1.52,
3559
+ "learning_rate": 3.011853074654515e-06,
3560
+ "loss": 0.6351,
3561
+ "step": 1184
3562
+ },
3563
+ {
3564
+ "epoch": 1.52,
3565
+ "learning_rate": 2.981589521623973e-06,
3566
+ "loss": 0.5861,
3567
+ "step": 1186
3568
+ },
3569
+ {
3570
+ "epoch": 1.52,
3571
+ "learning_rate": 2.951452122714926e-06,
3572
+ "loss": 0.608,
3573
+ "step": 1188
3574
+ },
3575
+ {
3576
+ "epoch": 1.53,
3577
+ "learning_rate": 2.9214414196393702e-06,
3578
+ "loss": 0.6156,
3579
+ "step": 1190
3580
+ },
3581
+ {
3582
+ "epoch": 1.53,
3583
+ "learning_rate": 2.8915579518319626e-06,
3584
+ "loss": 0.6082,
3585
+ "step": 1192
3586
+ },
3587
+ {
3588
+ "epoch": 1.53,
3589
+ "learning_rate": 2.861802256440348e-06,
3590
+ "loss": 0.6268,
3591
+ "step": 1194
3592
+ },
3593
+ {
3594
+ "epoch": 1.53,
3595
+ "learning_rate": 2.8321748683154893e-06,
3596
+ "loss": 0.5921,
3597
+ "step": 1196
3598
+ },
3599
+ {
3600
+ "epoch": 1.54,
3601
+ "learning_rate": 2.8026763200020557e-06,
3602
+ "loss": 0.5828,
3603
+ "step": 1198
3604
+ },
3605
+ {
3606
+ "epoch": 1.54,
3607
+ "learning_rate": 2.773307141728867e-06,
3608
+ "loss": 0.6255,
3609
+ "step": 1200
3610
+ },
3611
+ {
3612
+ "epoch": 1.54,
3613
+ "learning_rate": 2.744067861399333e-06,
3614
+ "loss": 0.5878,
3615
+ "step": 1202
3616
+ },
3617
+ {
3618
+ "epoch": 1.54,
3619
+ "learning_rate": 2.714959004582003e-06,
3620
+ "loss": 0.6113,
3621
+ "step": 1204
3622
+ },
3623
+ {
3624
+ "epoch": 1.55,
3625
+ "learning_rate": 2.6859810945010687e-06,
3626
+ "loss": 0.6255,
3627
+ "step": 1206
3628
+ },
3629
+ {
3630
+ "epoch": 1.55,
3631
+ "learning_rate": 2.6571346520270147e-06,
3632
+ "loss": 0.5998,
3633
+ "step": 1208
3634
+ },
3635
+ {
3636
+ "epoch": 1.55,
3637
+ "learning_rate": 2.628420195667214e-06,
3638
+ "loss": 0.607,
3639
+ "step": 1210
3640
+ },
3641
+ {
3642
+ "epoch": 1.55,
3643
+ "learning_rate": 2.5998382415566258e-06,
3644
+ "loss": 0.5773,
3645
+ "step": 1212
3646
+ },
3647
+ {
3648
+ "epoch": 1.56,
3649
+ "learning_rate": 2.5713893034485216e-06,
3650
+ "loss": 0.5944,
3651
+ "step": 1214
3652
+ },
3653
+ {
3654
+ "epoch": 1.56,
3655
+ "learning_rate": 2.5430738927052346e-06,
3656
+ "loss": 0.6249,
3657
+ "step": 1216
3658
+ },
3659
+ {
3660
+ "epoch": 1.56,
3661
+ "learning_rate": 2.514892518288988e-06,
3662
+ "loss": 0.6379,
3663
+ "step": 1218
3664
+ },
3665
+ {
3666
+ "epoch": 1.56,
3667
+ "learning_rate": 2.4868456867527315e-06,
3668
+ "loss": 0.5833,
3669
+ "step": 1220
3670
+ },
3671
+ {
3672
+ "epoch": 1.57,
3673
+ "learning_rate": 2.4589339022310386e-06,
3674
+ "loss": 0.5841,
3675
+ "step": 1222
3676
+ },
3677
+ {
3678
+ "epoch": 1.57,
3679
+ "learning_rate": 2.431157666431052e-06,
3680
+ "loss": 0.6359,
3681
+ "step": 1224
3682
+ },
3683
+ {
3684
+ "epoch": 1.57,
3685
+ "learning_rate": 2.403517478623456e-06,
3686
+ "loss": 0.575,
3687
+ "step": 1226
3688
+ },
3689
+ {
3690
+ "epoch": 1.57,
3691
+ "learning_rate": 2.3760138356335172e-06,
3692
+ "loss": 0.6207,
3693
+ "step": 1228
3694
+ },
3695
+ {
3696
+ "epoch": 1.58,
3697
+ "learning_rate": 2.348647231832131e-06,
3698
+ "loss": 0.6009,
3699
+ "step": 1230
3700
+ },
3701
+ {
3702
+ "epoch": 1.58,
3703
+ "learning_rate": 2.3214181591269603e-06,
3704
+ "loss": 0.6267,
3705
+ "step": 1232
3706
+ },
3707
+ {
3708
+ "epoch": 1.58,
3709
+ "learning_rate": 2.2943271069535754e-06,
3710
+ "loss": 0.6262,
3711
+ "step": 1234
3712
+ },
3713
+ {
3714
+ "epoch": 1.58,
3715
+ "learning_rate": 2.267374562266662e-06,
3716
+ "loss": 0.5881,
3717
+ "step": 1236
3718
+ },
3719
+ {
3720
+ "epoch": 1.59,
3721
+ "learning_rate": 2.240561009531281e-06,
3722
+ "loss": 0.5842,
3723
+ "step": 1238
3724
+ },
3725
+ {
3726
+ "epoch": 1.59,
3727
+ "learning_rate": 2.2138869307141266e-06,
3728
+ "loss": 0.5602,
3729
+ "step": 1240
3730
+ },
3731
+ {
3732
+ "epoch": 1.59,
3733
+ "learning_rate": 2.1873528052749094e-06,
3734
+ "loss": 0.596,
3735
+ "step": 1242
3736
+ },
3737
+ {
3738
+ "epoch": 1.59,
3739
+ "learning_rate": 2.1609591101576945e-06,
3740
+ "loss": 0.5942,
3741
+ "step": 1244
3742
+ },
3743
+ {
3744
+ "epoch": 1.6,
3745
+ "learning_rate": 2.1347063197823648e-06,
3746
+ "loss": 0.5955,
3747
+ "step": 1246
3748
+ },
3749
+ {
3750
+ "epoch": 1.6,
3751
+ "learning_rate": 2.1085949060360654e-06,
3752
+ "loss": 0.6148,
3753
+ "step": 1248
3754
+ },
3755
+ {
3756
+ "epoch": 1.6,
3757
+ "learning_rate": 2.0826253382647334e-06,
3758
+ "loss": 0.6484,
3759
+ "step": 1250
3760
+ },
3761
+ {
3762
+ "epoch": 1.61,
3763
+ "learning_rate": 2.056798083264667e-06,
3764
+ "loss": 0.5729,
3765
+ "step": 1252
3766
+ },
3767
+ {
3768
+ "epoch": 1.61,
3769
+ "learning_rate": 2.0311136052741274e-06,
3770
+ "loss": 0.6088,
3771
+ "step": 1254
3772
+ },
3773
+ {
3774
+ "epoch": 1.61,
3775
+ "learning_rate": 2.0055723659649907e-06,
3776
+ "loss": 0.6047,
3777
+ "step": 1256
3778
+ },
3779
+ {
3780
+ "epoch": 1.61,
3781
+ "learning_rate": 1.9801748244344587e-06,
3782
+ "loss": 0.5812,
3783
+ "step": 1258
3784
+ },
3785
+ {
3786
+ "epoch": 1.62,
3787
+ "learning_rate": 1.9549214371968008e-06,
3788
+ "loss": 0.5976,
3789
+ "step": 1260
3790
+ },
3791
+ {
3792
+ "epoch": 1.62,
3793
+ "learning_rate": 1.9298126581751542e-06,
3794
+ "loss": 0.6362,
3795
+ "step": 1262
3796
+ },
3797
+ {
3798
+ "epoch": 1.62,
3799
+ "learning_rate": 1.9048489386933545e-06,
3800
+ "loss": 0.5954,
3801
+ "step": 1264
3802
+ },
3803
+ {
3804
+ "epoch": 1.62,
3805
+ "learning_rate": 1.8800307274678364e-06,
3806
+ "loss": 0.6468,
3807
+ "step": 1266
3808
+ },
3809
+ {
3810
+ "epoch": 1.63,
3811
+ "learning_rate": 1.8553584705995564e-06,
3812
+ "loss": 0.6041,
3813
+ "step": 1268
3814
+ },
3815
+ {
3816
+ "epoch": 1.63,
3817
+ "learning_rate": 1.8308326115659757e-06,
3818
+ "loss": 0.5584,
3819
+ "step": 1270
3820
+ },
3821
+ {
3822
+ "epoch": 1.63,
3823
+ "learning_rate": 1.8064535912131032e-06,
3824
+ "loss": 0.6246,
3825
+ "step": 1272
3826
+ },
3827
+ {
3828
+ "epoch": 1.63,
3829
+ "learning_rate": 1.7822218477475496e-06,
3830
+ "loss": 0.6056,
3831
+ "step": 1274
3832
+ },
3833
+ {
3834
+ "epoch": 1.64,
3835
+ "learning_rate": 1.7581378167286655e-06,
3836
+ "loss": 0.6081,
3837
+ "step": 1276
3838
+ },
3839
+ {
3840
+ "epoch": 1.64,
3841
+ "learning_rate": 1.7342019310607062e-06,
3842
+ "loss": 0.5951,
3843
+ "step": 1278
3844
+ },
3845
+ {
3846
+ "epoch": 1.64,
3847
+ "learning_rate": 1.7104146209850591e-06,
3848
+ "loss": 0.5586,
3849
+ "step": 1280
3850
+ },
3851
+ {
3852
+ "epoch": 1.64,
3853
+ "learning_rate": 1.6867763140724969e-06,
3854
+ "loss": 0.6417,
3855
+ "step": 1282
3856
+ },
3857
+ {
3858
+ "epoch": 1.65,
3859
+ "learning_rate": 1.6632874352154982e-06,
3860
+ "loss": 0.5777,
3861
+ "step": 1284
3862
+ },
3863
+ {
3864
+ "epoch": 1.65,
3865
+ "learning_rate": 1.6399484066206183e-06,
3866
+ "loss": 0.5733,
3867
+ "step": 1286
3868
+ },
3869
+ {
3870
+ "epoch": 1.65,
3871
+ "learning_rate": 1.6167596478008817e-06,
3872
+ "loss": 0.6019,
3873
+ "step": 1288
3874
+ },
3875
+ {
3876
+ "epoch": 1.65,
3877
+ "learning_rate": 1.5937215755682667e-06,
3878
+ "loss": 0.6216,
3879
+ "step": 1290
3880
+ },
3881
+ {
3882
+ "epoch": 1.66,
3883
+ "learning_rate": 1.5708346040261812e-06,
3884
+ "loss": 0.6211,
3885
+ "step": 1292
3886
+ },
3887
+ {
3888
+ "epoch": 1.66,
3889
+ "learning_rate": 1.5480991445620541e-06,
3890
+ "loss": 0.6229,
3891
+ "step": 1294
3892
+ },
3893
+ {
3894
+ "epoch": 1.66,
3895
+ "learning_rate": 1.5255156058399124e-06,
3896
+ "loss": 0.6139,
3897
+ "step": 1296
3898
+ },
3899
+ {
3900
+ "epoch": 1.66,
3901
+ "learning_rate": 1.5030843937930485e-06,
3902
+ "loss": 0.6054,
3903
+ "step": 1298
3904
+ },
3905
+ {
3906
+ "epoch": 1.67,
3907
+ "learning_rate": 1.4808059116167306e-06,
3908
+ "loss": 0.5948,
3909
+ "step": 1300
3910
+ },
3911
+ {
3912
+ "epoch": 1.67,
3913
+ "learning_rate": 1.4586805597609333e-06,
3914
+ "loss": 0.5594,
3915
+ "step": 1302
3916
+ },
3917
+ {
3918
+ "epoch": 1.67,
3919
+ "learning_rate": 1.4367087359231668e-06,
3920
+ "loss": 0.6174,
3921
+ "step": 1304
3922
+ },
3923
+ {
3924
+ "epoch": 1.67,
3925
+ "learning_rate": 1.4148908350413048e-06,
3926
+ "loss": 0.5938,
3927
+ "step": 1306
3928
+ },
3929
+ {
3930
+ "epoch": 1.68,
3931
+ "learning_rate": 1.3932272492864984e-06,
3932
+ "loss": 0.5763,
3933
+ "step": 1308
3934
+ },
3935
+ {
3936
+ "epoch": 1.68,
3937
+ "learning_rate": 1.3717183680561253e-06,
3938
+ "loss": 0.5997,
3939
+ "step": 1310
3940
+ },
3941
+ {
3942
+ "epoch": 1.68,
3943
+ "learning_rate": 1.3503645779667852e-06,
3944
+ "loss": 0.564,
3945
+ "step": 1312
3946
+ },
3947
+ {
3948
+ "epoch": 1.68,
3949
+ "learning_rate": 1.3291662628473634e-06,
3950
+ "loss": 0.5961,
3951
+ "step": 1314
3952
+ },
3953
+ {
3954
+ "epoch": 1.69,
3955
+ "learning_rate": 1.308123803732111e-06,
3956
+ "loss": 0.627,
3957
+ "step": 1316
3958
+ },
3959
+ {
3960
+ "epoch": 1.69,
3961
+ "learning_rate": 1.2872375788538171e-06,
3962
+ "loss": 0.6356,
3963
+ "step": 1318
3964
+ },
3965
+ {
3966
+ "epoch": 1.69,
3967
+ "learning_rate": 1.266507963636997e-06,
3968
+ "loss": 0.6069,
3969
+ "step": 1320
3970
+ },
3971
+ {
3972
+ "epoch": 1.69,
3973
+ "learning_rate": 1.2459353306911438e-06,
3974
+ "loss": 0.6107,
3975
+ "step": 1322
3976
+ },
3977
+ {
3978
+ "epoch": 1.7,
3979
+ "learning_rate": 1.2255200498040432e-06,
3980
+ "loss": 0.606,
3981
+ "step": 1324
3982
+ },
3983
+ {
3984
+ "epoch": 1.7,
3985
+ "learning_rate": 1.2052624879351105e-06,
3986
+ "loss": 0.583,
3987
+ "step": 1326
3988
+ },
3989
+ {
3990
+ "epoch": 1.7,
3991
+ "learning_rate": 1.1851630092088051e-06,
3992
+ "loss": 0.5755,
3993
+ "step": 1328
3994
+ },
3995
+ {
3996
+ "epoch": 1.71,
3997
+ "learning_rate": 1.1652219749080817e-06,
3998
+ "loss": 0.5951,
3999
+ "step": 1330
4000
+ },
4001
+ {
4002
+ "epoch": 1.71,
4003
+ "learning_rate": 1.1454397434679022e-06,
4004
+ "loss": 0.5939,
4005
+ "step": 1332
4006
+ },
4007
+ {
4008
+ "epoch": 1.71,
4009
+ "learning_rate": 1.12581667046878e-06,
4010
+ "loss": 0.6146,
4011
+ "step": 1334
4012
+ },
4013
+ {
4014
+ "epoch": 1.71,
4015
+ "learning_rate": 1.1063531086304003e-06,
4016
+ "loss": 0.5748,
4017
+ "step": 1336
4018
+ },
4019
+ {
4020
+ "epoch": 1.72,
4021
+ "learning_rate": 1.0870494078052796e-06,
4022
+ "loss": 0.5867,
4023
+ "step": 1338
4024
+ },
4025
+ {
4026
+ "epoch": 1.72,
4027
+ "learning_rate": 1.067905914972468e-06,
4028
+ "loss": 0.5761,
4029
+ "step": 1340
4030
+ },
4031
+ {
4032
+ "epoch": 1.72,
4033
+ "learning_rate": 1.0489229742313223e-06,
4034
+ "loss": 0.592,
4035
+ "step": 1342
4036
+ },
4037
+ {
4038
+ "epoch": 1.72,
4039
+ "learning_rate": 1.0301009267953145e-06,
4040
+ "loss": 0.5793,
4041
+ "step": 1344
4042
+ },
4043
+ {
4044
+ "epoch": 1.73,
4045
+ "learning_rate": 1.0114401109859019e-06,
4046
+ "loss": 0.6008,
4047
+ "step": 1346
4048
+ },
4049
+ {
4050
+ "epoch": 1.73,
4051
+ "learning_rate": 9.929408622264448e-07,
4052
+ "loss": 0.5669,
4053
+ "step": 1348
4054
+ },
4055
+ {
4056
+ "epoch": 1.73,
4057
+ "learning_rate": 9.746035130361741e-07,
4058
+ "loss": 0.5875,
4059
+ "step": 1350
4060
+ },
4061
+ {
4062
+ "epoch": 1.73,
4063
+ "learning_rate": 9.564283930242258e-07,
4064
+ "loss": 0.6218,
4065
+ "step": 1352
4066
+ },
4067
+ {
4068
+ "epoch": 1.74,
4069
+ "learning_rate": 9.384158288836987e-07,
4070
+ "loss": 0.5938,
4071
+ "step": 1354
4072
+ },
4073
+ {
4074
+ "epoch": 1.74,
4075
+ "learning_rate": 9.205661443857994e-07,
4076
+ "loss": 0.5622,
4077
+ "step": 1356
4078
+ },
4079
+ {
4080
+ "epoch": 1.74,
4081
+ "learning_rate": 9.028796603740097e-07,
4082
+ "loss": 0.6239,
4083
+ "step": 1358
4084
+ },
4085
+ {
4086
+ "epoch": 1.74,
4087
+ "learning_rate": 8.853566947583259e-07,
4088
+ "loss": 0.5665,
4089
+ "step": 1360
4090
+ },
4091
+ {
4092
+ "epoch": 1.75,
4093
+ "learning_rate": 8.67997562509546e-07,
4094
+ "loss": 0.6079,
4095
+ "step": 1362
4096
+ },
4097
+ {
4098
+ "epoch": 1.75,
4099
+ "learning_rate": 8.508025756535987e-07,
4100
+ "loss": 0.5813,
4101
+ "step": 1364
4102
+ },
4103
+ {
4104
+ "epoch": 1.75,
4105
+ "learning_rate": 8.337720432659513e-07,
4106
+ "loss": 0.6135,
4107
+ "step": 1366
4108
+ },
4109
+ {
4110
+ "epoch": 1.75,
4111
+ "learning_rate": 8.169062714660347e-07,
4112
+ "loss": 0.5598,
4113
+ "step": 1368
4114
+ },
4115
+ {
4116
+ "epoch": 1.76,
4117
+ "learning_rate": 8.002055634117578e-07,
4118
+ "loss": 0.5624,
4119
+ "step": 1370
4120
+ },
4121
+ {
4122
+ "epoch": 1.76,
4123
+ "learning_rate": 7.836702192940493e-07,
4124
+ "loss": 0.6002,
4125
+ "step": 1372
4126
+ },
4127
+ {
4128
+ "epoch": 1.76,
4129
+ "learning_rate": 7.673005363314578e-07,
4130
+ "loss": 0.5882,
4131
+ "step": 1374
4132
+ },
4133
+ {
4134
+ "epoch": 1.76,
4135
+ "learning_rate": 7.510968087648262e-07,
4136
+ "loss": 0.6119,
4137
+ "step": 1376
4138
+ },
4139
+ {
4140
+ "epoch": 1.77,
4141
+ "learning_rate": 7.350593278519824e-07,
4142
+ "loss": 0.5976,
4143
+ "step": 1378
4144
+ },
4145
+ {
4146
+ "epoch": 1.77,
4147
+ "learning_rate": 7.19188381862519e-07,
4148
+ "loss": 0.5798,
4149
+ "step": 1380
4150
+ },
4151
+ {
4152
+ "epoch": 1.77,
4153
+ "learning_rate": 7.034842560726008e-07,
4154
+ "loss": 0.5791,
4155
+ "step": 1382
4156
+ },
4157
+ {
4158
+ "epoch": 1.77,
4159
+ "learning_rate": 6.879472327598502e-07,
4160
+ "loss": 0.5823,
4161
+ "step": 1384
4162
+ },
4163
+ {
4164
+ "epoch": 1.78,
4165
+ "learning_rate": 6.725775911982602e-07,
4166
+ "loss": 0.5993,
4167
+ "step": 1386
4168
+ },
4169
+ {
4170
+ "epoch": 1.78,
4171
+ "learning_rate": 6.573756076531779e-07,
4172
+ "loss": 0.5688,
4173
+ "step": 1388
4174
+ },
4175
+ {
4176
+ "epoch": 1.78,
4177
+ "learning_rate": 6.423415553763479e-07,
4178
+ "loss": 0.5925,
4179
+ "step": 1390
4180
+ },
4181
+ {
4182
+ "epoch": 1.78,
4183
+ "learning_rate": 6.274757046009871e-07,
4184
+ "loss": 0.6044,
4185
+ "step": 1392
4186
+ },
4187
+ {
4188
+ "epoch": 1.79,
4189
+ "learning_rate": 6.127783225369377e-07,
4190
+ "loss": 0.6185,
4191
+ "step": 1394
4192
+ },
4193
+ {
4194
+ "epoch": 1.79,
4195
+ "learning_rate": 5.982496733658582e-07,
4196
+ "loss": 0.5809,
4197
+ "step": 1396
4198
+ },
4199
+ {
4200
+ "epoch": 1.79,
4201
+ "learning_rate": 5.83890018236476e-07,
4202
+ "loss": 0.5961,
4203
+ "step": 1398
4204
+ },
4205
+ {
4206
+ "epoch": 1.79,
4207
+ "learning_rate": 5.696996152598966e-07,
4208
+ "loss": 0.6069,
4209
+ "step": 1400
4210
+ },
4211
+ {
4212
+ "epoch": 1.8,
4213
+ "learning_rate": 5.556787195049573e-07,
4214
+ "loss": 0.5802,
4215
+ "step": 1402
4216
+ },
4217
+ {
4218
+ "epoch": 1.8,
4219
+ "learning_rate": 5.418275829936537e-07,
4220
+ "loss": 0.6161,
4221
+ "step": 1404
4222
+ },
4223
+ {
4224
+ "epoch": 1.8,
4225
+ "learning_rate": 5.281464546965953e-07,
4226
+ "loss": 0.5966,
4227
+ "step": 1406
4228
+ },
4229
+ {
4230
+ "epoch": 1.81,
4231
+ "learning_rate": 5.146355805285452e-07,
4232
+ "loss": 0.6,
4233
+ "step": 1408
4234
+ },
4235
+ {
4236
+ "epoch": 1.81,
4237
+ "learning_rate": 5.012952033439844e-07,
4238
+ "loss": 0.578,
4239
+ "step": 1410
4240
+ },
4241
+ {
4242
+ "epoch": 1.81,
4243
+ "learning_rate": 4.881255629327608e-07,
4244
+ "loss": 0.5885,
4245
+ "step": 1412
4246
+ },
4247
+ {
4248
+ "epoch": 1.81,
4249
+ "learning_rate": 4.7512689601576843e-07,
4250
+ "loss": 0.5753,
4251
+ "step": 1414
4252
+ },
4253
+ {
4254
+ "epoch": 1.82,
4255
+ "learning_rate": 4.6229943624069963e-07,
4256
+ "loss": 0.6083,
4257
+ "step": 1416
4258
+ },
4259
+ {
4260
+ "epoch": 1.82,
4261
+ "learning_rate": 4.4964341417784165e-07,
4262
+ "loss": 0.6019,
4263
+ "step": 1418
4264
+ },
4265
+ {
4266
+ "epoch": 1.82,
4267
+ "learning_rate": 4.3715905731593233e-07,
4268
+ "loss": 0.6016,
4269
+ "step": 1420
4270
+ },
4271
+ {
4272
+ "epoch": 1.82,
4273
+ "learning_rate": 4.248465900580734e-07,
4274
+ "loss": 0.5873,
4275
+ "step": 1422
4276
+ },
4277
+ {
4278
+ "epoch": 1.83,
4279
+ "learning_rate": 4.127062337176935e-07,
4280
+ "loss": 0.5647,
4281
+ "step": 1424
4282
+ },
4283
+ {
4284
+ "epoch": 1.83,
4285
+ "learning_rate": 4.0073820651457043e-07,
4286
+ "loss": 0.5816,
4287
+ "step": 1426
4288
+ },
4289
+ {
4290
+ "epoch": 1.83,
4291
+ "learning_rate": 3.889427235709153e-07,
4292
+ "loss": 0.5444,
4293
+ "step": 1428
4294
+ },
4295
+ {
4296
+ "epoch": 1.83,
4297
+ "learning_rate": 3.773199969074959e-07,
4298
+ "loss": 0.6032,
4299
+ "step": 1430
4300
+ },
4301
+ {
4302
+ "epoch": 1.84,
4303
+ "learning_rate": 3.658702354398325e-07,
4304
+ "loss": 0.5779,
4305
+ "step": 1432
4306
+ },
4307
+ {
4308
+ "epoch": 1.84,
4309
+ "learning_rate": 3.5459364497443696e-07,
4310
+ "loss": 0.5919,
4311
+ "step": 1434
4312
+ },
4313
+ {
4314
+ "epoch": 1.84,
4315
+ "learning_rate": 3.4349042820512325e-07,
4316
+ "loss": 0.6086,
4317
+ "step": 1436
4318
+ },
4319
+ {
4320
+ "epoch": 1.84,
4321
+ "learning_rate": 3.325607847093537e-07,
4322
+ "loss": 0.5862,
4323
+ "step": 1438
4324
+ },
4325
+ {
4326
+ "epoch": 1.85,
4327
+ "learning_rate": 3.2180491094465414e-07,
4328
+ "loss": 0.6099,
4329
+ "step": 1440
4330
+ },
4331
+ {
4332
+ "epoch": 1.85,
4333
+ "learning_rate": 3.112230002450889e-07,
4334
+ "loss": 0.5925,
4335
+ "step": 1442
4336
+ },
4337
+ {
4338
+ "epoch": 1.85,
4339
+ "learning_rate": 3.0081524281777687e-07,
4340
+ "loss": 0.6217,
4341
+ "step": 1444
4342
+ },
4343
+ {
4344
+ "epoch": 1.85,
4345
+ "learning_rate": 2.905818257394799e-07,
4346
+ "loss": 0.5707,
4347
+ "step": 1446
4348
+ },
4349
+ {
4350
+ "epoch": 1.86,
4351
+ "learning_rate": 2.805229329532344e-07,
4352
+ "loss": 0.6038,
4353
+ "step": 1448
4354
+ },
4355
+ {
4356
+ "epoch": 1.86,
4357
+ "learning_rate": 2.706387452650494e-07,
4358
+ "loss": 0.5877,
4359
+ "step": 1450
4360
+ },
4361
+ {
4362
+ "epoch": 1.86,
4363
+ "learning_rate": 2.609294403406537e-07,
4364
+ "loss": 0.5912,
4365
+ "step": 1452
4366
+ },
4367
+ {
4368
+ "epoch": 1.86,
4369
+ "learning_rate": 2.513951927023017e-07,
4370
+ "loss": 0.6043,
4371
+ "step": 1454
4372
+ },
4373
+ {
4374
+ "epoch": 1.87,
4375
+ "learning_rate": 2.420361737256438e-07,
4376
+ "loss": 0.5947,
4377
+ "step": 1456
4378
+ },
4379
+ {
4380
+ "epoch": 1.87,
4381
+ "learning_rate": 2.3285255163663535e-07,
4382
+ "loss": 0.5927,
4383
+ "step": 1458
4384
+ },
4385
+ {
4386
+ "epoch": 1.87,
4387
+ "learning_rate": 2.2384449150851695e-07,
4388
+ "loss": 0.6107,
4389
+ "step": 1460
4390
+ },
4391
+ {
4392
+ "epoch": 1.87,
4393
+ "learning_rate": 2.1501215525885245e-07,
4394
+ "loss": 0.5427,
4395
+ "step": 1462
4396
+ },
4397
+ {
4398
+ "epoch": 1.88,
4399
+ "learning_rate": 2.063557016466111e-07,
4400
+ "loss": 0.5792,
4401
+ "step": 1464
4402
+ },
4403
+ {
4404
+ "epoch": 1.88,
4405
+ "learning_rate": 1.978752862693212e-07,
4406
+ "loss": 0.5775,
4407
+ "step": 1466
4408
+ },
4409
+ {
4410
+ "epoch": 1.88,
4411
+ "learning_rate": 1.8957106156026084e-07,
4412
+ "loss": 0.5554,
4413
+ "step": 1468
4414
+ },
4415
+ {
4416
+ "epoch": 1.88,
4417
+ "learning_rate": 1.8144317678573497e-07,
4418
+ "loss": 0.5464,
4419
+ "step": 1470
4420
+ },
4421
+ {
4422
+ "epoch": 1.89,
4423
+ "learning_rate": 1.7349177804237837e-07,
4424
+ "loss": 0.5882,
4425
+ "step": 1472
4426
+ },
4427
+ {
4428
+ "epoch": 1.89,
4429
+ "learning_rate": 1.6571700825453674e-07,
4430
+ "loss": 0.5718,
4431
+ "step": 1474
4432
+ },
4433
+ {
4434
+ "epoch": 1.89,
4435
+ "learning_rate": 1.5811900717169537e-07,
4436
+ "loss": 0.5631,
4437
+ "step": 1476
4438
+ },
4439
+ {
4440
+ "epoch": 1.89,
4441
+ "learning_rate": 1.506979113659679e-07,
4442
+ "loss": 0.6137,
4443
+ "step": 1478
4444
+ },
4445
+ {
4446
+ "epoch": 1.9,
4447
+ "learning_rate": 1.4345385422964043e-07,
4448
+ "loss": 0.5804,
4449
+ "step": 1480
4450
+ },
4451
+ {
4452
+ "epoch": 1.9,
4453
+ "learning_rate": 1.3638696597277678e-07,
4454
+ "loss": 0.5713,
4455
+ "step": 1482
4456
+ },
4457
+ {
4458
+ "epoch": 1.9,
4459
+ "learning_rate": 1.2949737362087156e-07,
4460
+ "loss": 0.5563,
4461
+ "step": 1484
4462
+ },
4463
+ {
4464
+ "epoch": 1.91,
4465
+ "learning_rate": 1.227852010125752e-07,
4466
+ "loss": 0.5885,
4467
+ "step": 1486
4468
+ },
4469
+ {
4470
+ "epoch": 1.91,
4471
+ "learning_rate": 1.1625056879746133e-07,
4472
+ "loss": 0.5563,
4473
+ "step": 1488
4474
+ },
4475
+ {
4476
+ "epoch": 1.91,
4477
+ "learning_rate": 1.0989359443386305e-07,
4478
+ "loss": 0.5924,
4479
+ "step": 1490
4480
+ },
4481
+ {
4482
+ "epoch": 1.91,
4483
+ "learning_rate": 1.0371439218675671e-07,
4484
+ "loss": 0.613,
4485
+ "step": 1492
4486
+ },
4487
+ {
4488
+ "epoch": 1.92,
4489
+ "learning_rate": 9.771307312571254e-08,
4490
+ "loss": 0.5946,
4491
+ "step": 1494
4492
+ },
4493
+ {
4494
+ "epoch": 1.92,
4495
+ "learning_rate": 9.188974512289617e-08,
4496
+ "loss": 0.5728,
4497
+ "step": 1496
4498
+ },
4499
+ {
4500
+ "epoch": 1.92,
4501
+ "learning_rate": 8.624451285112689e-08,
4502
+ "loss": 0.5644,
4503
+ "step": 1498
4504
+ },
4505
+ {
4506
+ "epoch": 1.92,
4507
+ "learning_rate": 8.077747778200474e-08,
4508
+ "loss": 0.6211,
4509
+ "step": 1500
4510
+ },
4511
+ {
4512
+ "epoch": 1.93,
4513
+ "learning_rate": 7.54887381840752e-08,
4514
+ "loss": 0.5863,
4515
+ "step": 1502
4516
+ },
4517
+ {
4518
+ "epoch": 1.93,
4519
+ "learning_rate": 7.037838912107298e-08,
4520
+ "loss": 0.6035,
4521
+ "step": 1504
4522
+ },
4523
+ {
4524
+ "epoch": 1.93,
4525
+ "learning_rate": 6.544652245020433e-08,
4526
+ "loss": 0.6091,
4527
+ "step": 1506
4528
+ },
4529
+ {
4530
+ "epoch": 1.93,
4531
+ "learning_rate": 6.069322682050516e-08,
4532
+ "loss": 0.5979,
4533
+ "step": 1508
4534
+ },
4535
+ {
4536
+ "epoch": 1.94,
4537
+ "learning_rate": 5.611858767124001e-08,
4538
+ "loss": 0.6134,
4539
+ "step": 1510
4540
+ },
4541
+ {
4542
+ "epoch": 1.94,
4543
+ "learning_rate": 5.1722687230369995e-08,
4544
+ "loss": 0.5743,
4545
+ "step": 1512
4546
+ },
4547
+ {
4548
+ "epoch": 1.94,
4549
+ "learning_rate": 4.7505604513072845e-08,
4550
+ "loss": 0.5767,
4551
+ "step": 1514
4552
+ },
4553
+ {
4554
+ "epoch": 1.94,
4555
+ "learning_rate": 4.346741532032628e-08,
4556
+ "loss": 0.5905,
4557
+ "step": 1516
4558
+ },
4559
+ {
4560
+ "epoch": 1.95,
4561
+ "learning_rate": 3.96081922375402e-08,
4562
+ "loss": 0.576,
4563
+ "step": 1518
4564
+ },
4565
+ {
4566
+ "epoch": 1.95,
4567
+ "learning_rate": 3.592800463325663e-08,
4568
+ "loss": 0.5968,
4569
+ "step": 1520
4570
+ },
4571
+ {
4572
+ "epoch": 1.95,
4573
+ "learning_rate": 3.242691865790071e-08,
4574
+ "loss": 0.5451,
4575
+ "step": 1522
4576
+ },
4577
+ {
4578
+ "epoch": 1.95,
4579
+ "learning_rate": 2.9104997242590528e-08,
4580
+ "loss": 0.5999,
4581
+ "step": 1524
4582
+ },
4583
+ {
4584
+ "epoch": 1.96,
4585
+ "learning_rate": 2.5962300098008042e-08,
4586
+ "loss": 0.5615,
4587
+ "step": 1526
4588
+ },
4589
+ {
4590
+ "epoch": 1.96,
4591
+ "learning_rate": 2.2998883713326592e-08,
4592
+ "loss": 0.5677,
4593
+ "step": 1528
4594
+ },
4595
+ {
4596
+ "epoch": 1.96,
4597
+ "learning_rate": 2.0214801355192826e-08,
4598
+ "loss": 0.6002,
4599
+ "step": 1530
4600
+ },
4601
+ {
4602
+ "epoch": 1.96,
4603
+ "learning_rate": 1.761010306676969e-08,
4604
+ "loss": 0.6138,
4605
+ "step": 1532
4606
+ },
4607
+ {
4608
+ "epoch": 1.97,
4609
+ "learning_rate": 1.518483566683826e-08,
4610
+ "loss": 0.6095,
4611
+ "step": 1534
4612
+ },
4613
+ {
4614
+ "epoch": 1.97,
4615
+ "learning_rate": 1.2939042748955078e-08,
4616
+ "loss": 0.5596,
4617
+ "step": 1536
4618
+ },
4619
+ {
4620
+ "epoch": 1.97,
4621
+ "learning_rate": 1.0872764680671666e-08,
4622
+ "loss": 0.6428,
4623
+ "step": 1538
4624
+ },
4625
+ {
4626
+ "epoch": 1.97,
4627
+ "learning_rate": 8.986038602802894e-09,
4628
+ "loss": 0.5899,
4629
+ "step": 1540
4630
+ },
4631
+ {
4632
+ "epoch": 1.98,
4633
+ "learning_rate": 7.278898428764169e-09,
4634
+ "loss": 0.5952,
4635
+ "step": 1542
4636
+ },
4637
+ {
4638
+ "epoch": 1.98,
4639
+ "learning_rate": 5.751374843961932e-09,
4640
+ "loss": 0.5526,
4641
+ "step": 1544
4642
+ },
4643
+ {
4644
+ "epoch": 1.98,
4645
+ "learning_rate": 4.403495305237426e-09,
4646
+ "loss": 0.5829,
4647
+ "step": 1546
4648
+ },
4649
+ {
4650
+ "epoch": 1.98,
4651
+ "learning_rate": 3.2352840403804264e-09,
4652
+ "loss": 0.5848,
4653
+ "step": 1548
4654
+ },
4655
+ {
4656
+ "epoch": 1.99,
4657
+ "learning_rate": 2.246762047685147e-09,
4658
+ "loss": 0.5983,
4659
+ "step": 1550
4660
+ },
4661
+ {
4662
+ "epoch": 1.99,
4663
+ "learning_rate": 1.437947095582759e-09,
4664
+ "loss": 0.5923,
4665
+ "step": 1552
4666
+ },
4667
+ {
4668
+ "epoch": 1.99,
4669
+ "learning_rate": 8.088537223116533e-10,
4670
+ "loss": 0.5919,
4671
+ "step": 1554
4672
+ },
4673
+ {
4674
+ "epoch": 1.99,
4675
+ "learning_rate": 3.594932356654202e-10,
4676
+ "loss": 0.6125,
4677
+ "step": 1556
4678
+ },
4679
+ {
4680
+ "epoch": 2.0,
4681
+ "learning_rate": 8.987371278079693e-11,
4682
+ "loss": 0.5734,
4683
+ "step": 1558
4684
+ },
4685
+ {
4686
+ "epoch": 2.0,
4687
+ "learning_rate": 0.0,
4688
+ "loss": 0.6057,
4689
+ "step": 1560
4690
+ },
4691
+ {
4692
+ "epoch": 2.0,
4693
+ "step": 1560,
4694
+ "total_flos": 3.6540609644891996e+18,
4695
+ "train_loss": 0.8723082382709552,
4696
+ "train_runtime": 12247.4613,
4697
+ "train_samples_per_second": 8.152,
4698
+ "train_steps_per_second": 0.127
4699
+ }
4700
+ ],
4701
+ "logging_steps": 2,
4702
+ "max_steps": 1560,
4703
+ "num_input_tokens_seen": 0,
4704
+ "num_train_epochs": 2,
4705
+ "save_steps": 780,
4706
+ "total_flos": 3.6540609644891996e+18,
4707
+ "train_batch_size": 1,
4708
+ "trial_name": null,
4709
+ "trial_params": null
4710
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:715a837f4547b5e7a9b74269084fc80bc1b009817e06a0124616fdfbc78a4bf3
3
+ size 5103
vocab.json ADDED
The diff for this file is too large to render. See raw diff