voidful commited on
Commit
b611fb8
1 Parent(s): 9612372

Upload folder using huggingface_hub

Browse files
added_tokens.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "voidful/phi-1_5_base",
3
+ "architectures": [
4
+ "PhiForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "auto_map": {
8
+ "AutoConfig": "microsoft/phi-1_5--configuration_phi.PhiConfig",
9
+ "AutoModelForCausalLM": "microsoft/phi-1_5--modeling_phi.PhiForCausalLM"
10
+ },
11
+ "bos_token_id": null,
12
+ "embd_pdrop": 0.0,
13
+ "eos_token_id": 70977,
14
+ "hidden_act": "gelu_new",
15
+ "hidden_size": 2048,
16
+ "initializer_range": 0.02,
17
+ "intermediate_size": 8192,
18
+ "layer_norm_eps": 1e-05,
19
+ "max_position_embeddings": 2048,
20
+ "model_type": "phi",
21
+ "num_attention_heads": 32,
22
+ "num_hidden_layers": 24,
23
+ "num_key_value_heads": 32,
24
+ "partial_rotary_factor": 0.5,
25
+ "qk_layernorm": false,
26
+ "resid_pdrop": 0.0,
27
+ "rope_scaling": {
28
+ "factor": 16.0,
29
+ "type": "dynamic"
30
+ },
31
+ "rope_theta": 50000.0,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "float32",
34
+ "transformers_version": "4.40.0.dev0",
35
+ "use_cache": true,
36
+ "vocab_size": 80980
37
+ }
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "eos_token_id": [
4
+ 70976,
5
+ 50256,
6
+ 70977
7
+ ],
8
+ "transformers_version": "4.40.0.dev0"
9
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ce9811421777ddcc5274b26c78cc9c17adbcbcb5450f276b6d3ec0e6c96264d
3
+ size 4960313864
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dff1ff84ef9e1d5d12d47faf76948a5a8f7827cd88ff24c8646051fbbfc6d9ff
3
+ size 1200841024
model.safetensors.index.json ADDED
@@ -0,0 +1,348 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6161117520
4
+ },
5
+ "weight_map": {
6
+ "lm_head.bias": "model-00002-of-00002.safetensors",
7
+ "lm_head.weight": "model-00002-of-00002.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
9
+ "model.final_layernorm.bias": "model-00002-of-00002.safetensors",
10
+ "model.final_layernorm.weight": "model-00002-of-00002.safetensors",
11
+ "model.layers.0.input_layernorm.bias": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.mlp.fc1.bias": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.mlp.fc1.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.mlp.fc2.bias": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.mlp.fc2.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.dense.bias": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.dense.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
20
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
22
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
24
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.input_layernorm.bias": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.mlp.fc1.bias": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.mlp.fc1.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.mlp.fc2.bias": "model-00001-of-00002.safetensors",
30
+ "model.layers.1.mlp.fc2.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.1.self_attn.dense.bias": "model-00001-of-00002.safetensors",
32
+ "model.layers.1.self_attn.dense.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
34
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
36
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
38
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.input_layernorm.bias": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.10.mlp.fc1.bias": "model-00001-of-00002.safetensors",
42
+ "model.layers.10.mlp.fc1.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.10.mlp.fc2.bias": "model-00001-of-00002.safetensors",
44
+ "model.layers.10.mlp.fc2.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.10.self_attn.dense.bias": "model-00001-of-00002.safetensors",
46
+ "model.layers.10.self_attn.dense.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
48
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
50
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
52
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.11.input_layernorm.bias": "model-00001-of-00002.safetensors",
54
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.11.mlp.fc1.bias": "model-00001-of-00002.safetensors",
56
+ "model.layers.11.mlp.fc1.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.11.mlp.fc2.bias": "model-00001-of-00002.safetensors",
58
+ "model.layers.11.mlp.fc2.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.11.self_attn.dense.bias": "model-00001-of-00002.safetensors",
60
+ "model.layers.11.self_attn.dense.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
62
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
64
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
66
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.12.input_layernorm.bias": "model-00001-of-00002.safetensors",
68
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.12.mlp.fc1.bias": "model-00001-of-00002.safetensors",
70
+ "model.layers.12.mlp.fc1.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.12.mlp.fc2.bias": "model-00001-of-00002.safetensors",
72
+ "model.layers.12.mlp.fc2.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.12.self_attn.dense.bias": "model-00001-of-00002.safetensors",
74
+ "model.layers.12.self_attn.dense.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
76
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
78
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
80
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.13.input_layernorm.bias": "model-00001-of-00002.safetensors",
82
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.13.mlp.fc1.bias": "model-00001-of-00002.safetensors",
84
+ "model.layers.13.mlp.fc1.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.13.mlp.fc2.bias": "model-00001-of-00002.safetensors",
86
+ "model.layers.13.mlp.fc2.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.13.self_attn.dense.bias": "model-00001-of-00002.safetensors",
88
+ "model.layers.13.self_attn.dense.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
90
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
92
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
94
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.14.input_layernorm.bias": "model-00001-of-00002.safetensors",
96
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.14.mlp.fc1.bias": "model-00001-of-00002.safetensors",
98
+ "model.layers.14.mlp.fc1.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.14.mlp.fc2.bias": "model-00001-of-00002.safetensors",
100
+ "model.layers.14.mlp.fc2.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.14.self_attn.dense.bias": "model-00001-of-00002.safetensors",
102
+ "model.layers.14.self_attn.dense.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
104
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
106
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
108
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.15.input_layernorm.bias": "model-00001-of-00002.safetensors",
110
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.15.mlp.fc1.bias": "model-00001-of-00002.safetensors",
112
+ "model.layers.15.mlp.fc1.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.15.mlp.fc2.bias": "model-00001-of-00002.safetensors",
114
+ "model.layers.15.mlp.fc2.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.15.self_attn.dense.bias": "model-00001-of-00002.safetensors",
116
+ "model.layers.15.self_attn.dense.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
118
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
120
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
122
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.16.input_layernorm.bias": "model-00001-of-00002.safetensors",
124
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.16.mlp.fc1.bias": "model-00001-of-00002.safetensors",
126
+ "model.layers.16.mlp.fc1.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.16.mlp.fc2.bias": "model-00001-of-00002.safetensors",
128
+ "model.layers.16.mlp.fc2.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.16.self_attn.dense.bias": "model-00001-of-00002.safetensors",
130
+ "model.layers.16.self_attn.dense.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
132
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
134
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
136
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.17.input_layernorm.bias": "model-00001-of-00002.safetensors",
138
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.17.mlp.fc1.bias": "model-00001-of-00002.safetensors",
140
+ "model.layers.17.mlp.fc1.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.17.mlp.fc2.bias": "model-00001-of-00002.safetensors",
142
+ "model.layers.17.mlp.fc2.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.17.self_attn.dense.bias": "model-00001-of-00002.safetensors",
144
+ "model.layers.17.self_attn.dense.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
146
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
148
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
150
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.18.input_layernorm.bias": "model-00001-of-00002.safetensors",
152
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.18.mlp.fc1.bias": "model-00001-of-00002.safetensors",
154
+ "model.layers.18.mlp.fc1.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.18.mlp.fc2.bias": "model-00001-of-00002.safetensors",
156
+ "model.layers.18.mlp.fc2.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.18.self_attn.dense.bias": "model-00001-of-00002.safetensors",
158
+ "model.layers.18.self_attn.dense.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
160
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
162
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
164
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.19.input_layernorm.bias": "model-00001-of-00002.safetensors",
166
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.19.mlp.fc1.bias": "model-00001-of-00002.safetensors",
168
+ "model.layers.19.mlp.fc1.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.19.mlp.fc2.bias": "model-00001-of-00002.safetensors",
170
+ "model.layers.19.mlp.fc2.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.19.self_attn.dense.bias": "model-00001-of-00002.safetensors",
172
+ "model.layers.19.self_attn.dense.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
174
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
176
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
178
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.2.input_layernorm.bias": "model-00001-of-00002.safetensors",
180
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.2.mlp.fc1.bias": "model-00001-of-00002.safetensors",
182
+ "model.layers.2.mlp.fc1.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.2.mlp.fc2.bias": "model-00001-of-00002.safetensors",
184
+ "model.layers.2.mlp.fc2.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.2.self_attn.dense.bias": "model-00001-of-00002.safetensors",
186
+ "model.layers.2.self_attn.dense.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
188
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
190
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
192
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.20.input_layernorm.bias": "model-00001-of-00002.safetensors",
194
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.20.mlp.fc1.bias": "model-00001-of-00002.safetensors",
196
+ "model.layers.20.mlp.fc1.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.20.mlp.fc2.bias": "model-00001-of-00002.safetensors",
198
+ "model.layers.20.mlp.fc2.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.20.self_attn.dense.bias": "model-00001-of-00002.safetensors",
200
+ "model.layers.20.self_attn.dense.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
202
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
204
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
206
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.21.input_layernorm.bias": "model-00002-of-00002.safetensors",
208
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.21.mlp.fc1.bias": "model-00002-of-00002.safetensors",
210
+ "model.layers.21.mlp.fc1.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.21.mlp.fc2.bias": "model-00002-of-00002.safetensors",
212
+ "model.layers.21.mlp.fc2.weight": "model-00002-of-00002.safetensors",
213
+ "model.layers.21.self_attn.dense.bias": "model-00001-of-00002.safetensors",
214
+ "model.layers.21.self_attn.dense.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
216
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
218
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
220
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.22.input_layernorm.bias": "model-00002-of-00002.safetensors",
222
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
223
+ "model.layers.22.mlp.fc1.bias": "model-00002-of-00002.safetensors",
224
+ "model.layers.22.mlp.fc1.weight": "model-00002-of-00002.safetensors",
225
+ "model.layers.22.mlp.fc2.bias": "model-00002-of-00002.safetensors",
226
+ "model.layers.22.mlp.fc2.weight": "model-00002-of-00002.safetensors",
227
+ "model.layers.22.self_attn.dense.bias": "model-00002-of-00002.safetensors",
228
+ "model.layers.22.self_attn.dense.weight": "model-00002-of-00002.safetensors",
229
+ "model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
230
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
231
+ "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
232
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
233
+ "model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
234
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
235
+ "model.layers.23.input_layernorm.bias": "model-00002-of-00002.safetensors",
236
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
237
+ "model.layers.23.mlp.fc1.bias": "model-00002-of-00002.safetensors",
238
+ "model.layers.23.mlp.fc1.weight": "model-00002-of-00002.safetensors",
239
+ "model.layers.23.mlp.fc2.bias": "model-00002-of-00002.safetensors",
240
+ "model.layers.23.mlp.fc2.weight": "model-00002-of-00002.safetensors",
241
+ "model.layers.23.self_attn.dense.bias": "model-00002-of-00002.safetensors",
242
+ "model.layers.23.self_attn.dense.weight": "model-00002-of-00002.safetensors",
243
+ "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
244
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
245
+ "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
246
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
247
+ "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
248
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
249
+ "model.layers.3.input_layernorm.bias": "model-00001-of-00002.safetensors",
250
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.3.mlp.fc1.bias": "model-00001-of-00002.safetensors",
252
+ "model.layers.3.mlp.fc1.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
254
+ "model.layers.3.mlp.fc2.weight": "model-00001-of-00002.safetensors",
255
+ "model.layers.3.self_attn.dense.bias": "model-00001-of-00002.safetensors",
256
+ "model.layers.3.self_attn.dense.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
258
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
260
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
262
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.4.input_layernorm.bias": "model-00001-of-00002.safetensors",
264
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.4.mlp.fc1.bias": "model-00001-of-00002.safetensors",
266
+ "model.layers.4.mlp.fc1.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.4.mlp.fc2.bias": "model-00001-of-00002.safetensors",
268
+ "model.layers.4.mlp.fc2.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.4.self_attn.dense.bias": "model-00001-of-00002.safetensors",
270
+ "model.layers.4.self_attn.dense.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
272
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
274
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
276
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.5.input_layernorm.bias": "model-00001-of-00002.safetensors",
278
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.5.mlp.fc1.bias": "model-00001-of-00002.safetensors",
280
+ "model.layers.5.mlp.fc1.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.5.mlp.fc2.bias": "model-00001-of-00002.safetensors",
282
+ "model.layers.5.mlp.fc2.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.5.self_attn.dense.bias": "model-00001-of-00002.safetensors",
284
+ "model.layers.5.self_attn.dense.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
286
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
288
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
290
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.6.input_layernorm.bias": "model-00001-of-00002.safetensors",
292
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.6.mlp.fc1.bias": "model-00001-of-00002.safetensors",
294
+ "model.layers.6.mlp.fc1.weight": "model-00001-of-00002.safetensors",
295
+ "model.layers.6.mlp.fc2.bias": "model-00001-of-00002.safetensors",
296
+ "model.layers.6.mlp.fc2.weight": "model-00001-of-00002.safetensors",
297
+ "model.layers.6.self_attn.dense.bias": "model-00001-of-00002.safetensors",
298
+ "model.layers.6.self_attn.dense.weight": "model-00001-of-00002.safetensors",
299
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
300
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
301
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
302
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
303
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
304
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
305
+ "model.layers.7.input_layernorm.bias": "model-00001-of-00002.safetensors",
306
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
307
+ "model.layers.7.mlp.fc1.bias": "model-00001-of-00002.safetensors",
308
+ "model.layers.7.mlp.fc1.weight": "model-00001-of-00002.safetensors",
309
+ "model.layers.7.mlp.fc2.bias": "model-00001-of-00002.safetensors",
310
+ "model.layers.7.mlp.fc2.weight": "model-00001-of-00002.safetensors",
311
+ "model.layers.7.self_attn.dense.bias": "model-00001-of-00002.safetensors",
312
+ "model.layers.7.self_attn.dense.weight": "model-00001-of-00002.safetensors",
313
+ "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
314
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
315
+ "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
316
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
317
+ "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
318
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
319
+ "model.layers.8.input_layernorm.bias": "model-00001-of-00002.safetensors",
320
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
321
+ "model.layers.8.mlp.fc1.bias": "model-00001-of-00002.safetensors",
322
+ "model.layers.8.mlp.fc1.weight": "model-00001-of-00002.safetensors",
323
+ "model.layers.8.mlp.fc2.bias": "model-00001-of-00002.safetensors",
324
+ "model.layers.8.mlp.fc2.weight": "model-00001-of-00002.safetensors",
325
+ "model.layers.8.self_attn.dense.bias": "model-00001-of-00002.safetensors",
326
+ "model.layers.8.self_attn.dense.weight": "model-00001-of-00002.safetensors",
327
+ "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
328
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
329
+ "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
330
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
331
+ "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
332
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
333
+ "model.layers.9.input_layernorm.bias": "model-00001-of-00002.safetensors",
334
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
335
+ "model.layers.9.mlp.fc1.bias": "model-00001-of-00002.safetensors",
336
+ "model.layers.9.mlp.fc1.weight": "model-00001-of-00002.safetensors",
337
+ "model.layers.9.mlp.fc2.bias": "model-00001-of-00002.safetensors",
338
+ "model.layers.9.mlp.fc2.weight": "model-00001-of-00002.safetensors",
339
+ "model.layers.9.self_attn.dense.bias": "model-00001-of-00002.safetensors",
340
+ "model.layers.9.self_attn.dense.weight": "model-00001-of-00002.safetensors",
341
+ "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
342
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
343
+ "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
344
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
345
+ "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
346
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors"
347
+ }
348
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e812b7644d5975a76844e794e6624e8414846509badc1664476005659ee3a24
3
+ size 6941242
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9899ccda7f0d8d9511991180b93aab508ce6e8489de708c88ad1188e7e1d90d6
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bbc3173dcb4bf9f285001d2d543f3b64e1206466a44e62f6ad4656462233827c
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": true,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
trainer_state.json ADDED
@@ -0,0 +1,3651 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.9999777750613963,
5
+ "eval_steps": 500,
6
+ "global_step": 51422,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "grad_norm": 4.884139060974121,
14
+ "learning_rate": 2.0000000000000002e-07,
15
+ "loss": 4.1318,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "grad_norm": 3.1436049938201904,
21
+ "learning_rate": 4.0000000000000003e-07,
22
+ "loss": 3.778,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.02,
27
+ "grad_norm": 2.9424259662628174,
28
+ "learning_rate": 6.000000000000001e-07,
29
+ "loss": 3.3925,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.03,
34
+ "grad_norm": 4.712306022644043,
35
+ "learning_rate": 8.000000000000001e-07,
36
+ "loss": 3.0483,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.04,
41
+ "grad_norm": 3.5699660778045654,
42
+ "learning_rate": 1.0000000000000002e-06,
43
+ "loss": 2.7775,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.05,
48
+ "grad_norm": 3.2760748863220215,
49
+ "learning_rate": 1.2000000000000002e-06,
50
+ "loss": 2.5476,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.05,
55
+ "grad_norm": 4.388134002685547,
56
+ "learning_rate": 1.4000000000000001e-06,
57
+ "loss": 2.3882,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.06,
62
+ "grad_norm": 3.93226957321167,
63
+ "learning_rate": 1.6000000000000001e-06,
64
+ "loss": 2.2654,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.07,
69
+ "grad_norm": 3.6425278186798096,
70
+ "learning_rate": 1.8000000000000001e-06,
71
+ "loss": 2.1592,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.08,
76
+ "grad_norm": 3.260810613632202,
77
+ "learning_rate": 2.0000000000000003e-06,
78
+ "loss": 2.032,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.09,
83
+ "grad_norm": 3.389195203781128,
84
+ "learning_rate": 2.2e-06,
85
+ "loss": 1.9446,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.09,
90
+ "grad_norm": 3.6105241775512695,
91
+ "learning_rate": 2.4000000000000003e-06,
92
+ "loss": 1.8368,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.1,
97
+ "grad_norm": 3.270883083343506,
98
+ "learning_rate": 2.6e-06,
99
+ "loss": 1.7411,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.11,
104
+ "grad_norm": 2.950645685195923,
105
+ "learning_rate": 2.8000000000000003e-06,
106
+ "loss": 1.6893,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.12,
111
+ "grad_norm": 2.6197257041931152,
112
+ "learning_rate": 3e-06,
113
+ "loss": 1.6173,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.12,
118
+ "grad_norm": 3.4023056030273438,
119
+ "learning_rate": 3.2000000000000003e-06,
120
+ "loss": 1.5633,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.13,
125
+ "grad_norm": 3.480717897415161,
126
+ "learning_rate": 3.4000000000000005e-06,
127
+ "loss": 1.4983,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.14,
132
+ "grad_norm": 3.2709102630615234,
133
+ "learning_rate": 3.6000000000000003e-06,
134
+ "loss": 1.4771,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.15,
139
+ "grad_norm": 2.3203020095825195,
140
+ "learning_rate": 3.8000000000000005e-06,
141
+ "loss": 1.4192,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.16,
146
+ "grad_norm": 2.908491373062134,
147
+ "learning_rate": 4.000000000000001e-06,
148
+ "loss": 1.3816,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.16,
153
+ "grad_norm": 2.9639596939086914,
154
+ "learning_rate": 4.2000000000000004e-06,
155
+ "loss": 1.3685,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.17,
160
+ "grad_norm": 3.183112621307373,
161
+ "learning_rate": 4.4e-06,
162
+ "loss": 1.3234,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.18,
167
+ "grad_norm": 2.953932285308838,
168
+ "learning_rate": 4.600000000000001e-06,
169
+ "loss": 1.3108,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.19,
174
+ "grad_norm": 2.4042069911956787,
175
+ "learning_rate": 4.800000000000001e-06,
176
+ "loss": 1.278,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.19,
181
+ "grad_norm": 2.5564184188842773,
182
+ "learning_rate": 5e-06,
183
+ "loss": 1.2395,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.2,
188
+ "grad_norm": 2.2440097332000732,
189
+ "learning_rate": 5.2e-06,
190
+ "loss": 1.2298,
191
+ "step": 2600
192
+ },
193
+ {
194
+ "epoch": 0.21,
195
+ "grad_norm": 2.2690846920013428,
196
+ "learning_rate": 5.400000000000001e-06,
197
+ "loss": 1.2058,
198
+ "step": 2700
199
+ },
200
+ {
201
+ "epoch": 0.22,
202
+ "grad_norm": 2.678061008453369,
203
+ "learning_rate": 5.600000000000001e-06,
204
+ "loss": 1.1865,
205
+ "step": 2800
206
+ },
207
+ {
208
+ "epoch": 0.23,
209
+ "grad_norm": 2.536303758621216,
210
+ "learning_rate": 5.8e-06,
211
+ "loss": 1.1636,
212
+ "step": 2900
213
+ },
214
+ {
215
+ "epoch": 0.23,
216
+ "grad_norm": 2.5350258350372314,
217
+ "learning_rate": 6e-06,
218
+ "loss": 1.1476,
219
+ "step": 3000
220
+ },
221
+ {
222
+ "epoch": 0.24,
223
+ "grad_norm": 2.197143316268921,
224
+ "learning_rate": 6.200000000000001e-06,
225
+ "loss": 1.1329,
226
+ "step": 3100
227
+ },
228
+ {
229
+ "epoch": 0.25,
230
+ "grad_norm": 1.8976725339889526,
231
+ "learning_rate": 6.4000000000000006e-06,
232
+ "loss": 1.1356,
233
+ "step": 3200
234
+ },
235
+ {
236
+ "epoch": 0.26,
237
+ "grad_norm": 2.1533405780792236,
238
+ "learning_rate": 6.600000000000001e-06,
239
+ "loss": 1.1107,
240
+ "step": 3300
241
+ },
242
+ {
243
+ "epoch": 0.26,
244
+ "grad_norm": 2.5432329177856445,
245
+ "learning_rate": 6.800000000000001e-06,
246
+ "loss": 1.1003,
247
+ "step": 3400
248
+ },
249
+ {
250
+ "epoch": 0.27,
251
+ "grad_norm": 2.5095925331115723,
252
+ "learning_rate": 7e-06,
253
+ "loss": 1.0753,
254
+ "step": 3500
255
+ },
256
+ {
257
+ "epoch": 0.28,
258
+ "grad_norm": 2.0674924850463867,
259
+ "learning_rate": 7.2000000000000005e-06,
260
+ "loss": 1.056,
261
+ "step": 3600
262
+ },
263
+ {
264
+ "epoch": 0.29,
265
+ "grad_norm": 1.9934577941894531,
266
+ "learning_rate": 7.4e-06,
267
+ "loss": 1.0414,
268
+ "step": 3700
269
+ },
270
+ {
271
+ "epoch": 0.3,
272
+ "grad_norm": 1.6853481531143188,
273
+ "learning_rate": 7.600000000000001e-06,
274
+ "loss": 1.0322,
275
+ "step": 3800
276
+ },
277
+ {
278
+ "epoch": 0.3,
279
+ "grad_norm": 2.2070693969726562,
280
+ "learning_rate": 7.800000000000002e-06,
281
+ "loss": 1.047,
282
+ "step": 3900
283
+ },
284
+ {
285
+ "epoch": 0.31,
286
+ "grad_norm": 2.402536153793335,
287
+ "learning_rate": 8.000000000000001e-06,
288
+ "loss": 1.0119,
289
+ "step": 4000
290
+ },
291
+ {
292
+ "epoch": 0.32,
293
+ "grad_norm": 1.525566577911377,
294
+ "learning_rate": 8.2e-06,
295
+ "loss": 1.0262,
296
+ "step": 4100
297
+ },
298
+ {
299
+ "epoch": 0.33,
300
+ "grad_norm": 1.9584845304489136,
301
+ "learning_rate": 8.400000000000001e-06,
302
+ "loss": 0.9944,
303
+ "step": 4200
304
+ },
305
+ {
306
+ "epoch": 0.33,
307
+ "grad_norm": 2.0090949535369873,
308
+ "learning_rate": 8.6e-06,
309
+ "loss": 0.9995,
310
+ "step": 4300
311
+ },
312
+ {
313
+ "epoch": 0.34,
314
+ "grad_norm": 1.8657029867172241,
315
+ "learning_rate": 8.8e-06,
316
+ "loss": 0.9853,
317
+ "step": 4400
318
+ },
319
+ {
320
+ "epoch": 0.35,
321
+ "grad_norm": 2.4438652992248535,
322
+ "learning_rate": 9e-06,
323
+ "loss": 0.9879,
324
+ "step": 4500
325
+ },
326
+ {
327
+ "epoch": 0.36,
328
+ "grad_norm": 1.7610666751861572,
329
+ "learning_rate": 9.200000000000002e-06,
330
+ "loss": 0.9821,
331
+ "step": 4600
332
+ },
333
+ {
334
+ "epoch": 0.37,
335
+ "grad_norm": 1.8249353170394897,
336
+ "learning_rate": 9.4e-06,
337
+ "loss": 0.9569,
338
+ "step": 4700
339
+ },
340
+ {
341
+ "epoch": 0.37,
342
+ "grad_norm": 2.3479127883911133,
343
+ "learning_rate": 9.600000000000001e-06,
344
+ "loss": 0.9497,
345
+ "step": 4800
346
+ },
347
+ {
348
+ "epoch": 0.38,
349
+ "grad_norm": 1.7944222688674927,
350
+ "learning_rate": 9.800000000000001e-06,
351
+ "loss": 0.9274,
352
+ "step": 4900
353
+ },
354
+ {
355
+ "epoch": 0.39,
356
+ "grad_norm": 1.6285799741744995,
357
+ "learning_rate": 1e-05,
358
+ "loss": 0.9467,
359
+ "step": 5000
360
+ },
361
+ {
362
+ "epoch": 0.4,
363
+ "grad_norm": 1.8791054487228394,
364
+ "learning_rate": 9.983129481231549e-06,
365
+ "loss": 0.9475,
366
+ "step": 5100
367
+ },
368
+ {
369
+ "epoch": 0.4,
370
+ "grad_norm": 2.0971226692199707,
371
+ "learning_rate": 9.966258962463097e-06,
372
+ "loss": 0.9199,
373
+ "step": 5200
374
+ },
375
+ {
376
+ "epoch": 0.41,
377
+ "grad_norm": 1.7968696355819702,
378
+ "learning_rate": 9.949388443694644e-06,
379
+ "loss": 0.9175,
380
+ "step": 5300
381
+ },
382
+ {
383
+ "epoch": 0.42,
384
+ "grad_norm": 1.9605484008789062,
385
+ "learning_rate": 9.932517924926192e-06,
386
+ "loss": 0.9133,
387
+ "step": 5400
388
+ },
389
+ {
390
+ "epoch": 0.43,
391
+ "grad_norm": 1.3476393222808838,
392
+ "learning_rate": 9.91564740615774e-06,
393
+ "loss": 0.8838,
394
+ "step": 5500
395
+ },
396
+ {
397
+ "epoch": 0.44,
398
+ "grad_norm": 1.5439773797988892,
399
+ "learning_rate": 9.898776887389287e-06,
400
+ "loss": 0.8928,
401
+ "step": 5600
402
+ },
403
+ {
404
+ "epoch": 0.44,
405
+ "grad_norm": 1.4250659942626953,
406
+ "learning_rate": 9.881906368620837e-06,
407
+ "loss": 0.8641,
408
+ "step": 5700
409
+ },
410
+ {
411
+ "epoch": 0.45,
412
+ "grad_norm": 1.425870656967163,
413
+ "learning_rate": 9.865035849852383e-06,
414
+ "loss": 0.8678,
415
+ "step": 5800
416
+ },
417
+ {
418
+ "epoch": 0.46,
419
+ "grad_norm": 1.879429578781128,
420
+ "learning_rate": 9.848165331083931e-06,
421
+ "loss": 0.8709,
422
+ "step": 5900
423
+ },
424
+ {
425
+ "epoch": 0.47,
426
+ "grad_norm": 1.5838955640792847,
427
+ "learning_rate": 9.83129481231548e-06,
428
+ "loss": 0.8754,
429
+ "step": 6000
430
+ },
431
+ {
432
+ "epoch": 0.47,
433
+ "grad_norm": 1.762133240699768,
434
+ "learning_rate": 9.814424293547026e-06,
435
+ "loss": 0.8494,
436
+ "step": 6100
437
+ },
438
+ {
439
+ "epoch": 0.48,
440
+ "grad_norm": 1.445033073425293,
441
+ "learning_rate": 9.797553774778576e-06,
442
+ "loss": 0.8417,
443
+ "step": 6200
444
+ },
445
+ {
446
+ "epoch": 0.49,
447
+ "grad_norm": 1.6173651218414307,
448
+ "learning_rate": 9.780683256010123e-06,
449
+ "loss": 0.8511,
450
+ "step": 6300
451
+ },
452
+ {
453
+ "epoch": 0.5,
454
+ "grad_norm": 1.468042254447937,
455
+ "learning_rate": 9.76381273724167e-06,
456
+ "loss": 0.8587,
457
+ "step": 6400
458
+ },
459
+ {
460
+ "epoch": 0.51,
461
+ "grad_norm": 1.739689588546753,
462
+ "learning_rate": 9.746942218473219e-06,
463
+ "loss": 0.8272,
464
+ "step": 6500
465
+ },
466
+ {
467
+ "epoch": 0.51,
468
+ "grad_norm": 1.5442858934402466,
469
+ "learning_rate": 9.730071699704765e-06,
470
+ "loss": 0.8188,
471
+ "step": 6600
472
+ },
473
+ {
474
+ "epoch": 0.52,
475
+ "grad_norm": 1.511681318283081,
476
+ "learning_rate": 9.713201180936315e-06,
477
+ "loss": 0.837,
478
+ "step": 6700
479
+ },
480
+ {
481
+ "epoch": 0.53,
482
+ "grad_norm": 1.3714661598205566,
483
+ "learning_rate": 9.696330662167862e-06,
484
+ "loss": 0.8192,
485
+ "step": 6800
486
+ },
487
+ {
488
+ "epoch": 0.54,
489
+ "grad_norm": 1.3328415155410767,
490
+ "learning_rate": 9.67946014339941e-06,
491
+ "loss": 0.8184,
492
+ "step": 6900
493
+ },
494
+ {
495
+ "epoch": 0.54,
496
+ "grad_norm": 1.334816336631775,
497
+ "learning_rate": 9.662589624630958e-06,
498
+ "loss": 0.8153,
499
+ "step": 7000
500
+ },
501
+ {
502
+ "epoch": 0.55,
503
+ "grad_norm": 1.5207791328430176,
504
+ "learning_rate": 9.645719105862507e-06,
505
+ "loss": 0.8119,
506
+ "step": 7100
507
+ },
508
+ {
509
+ "epoch": 0.56,
510
+ "grad_norm": 1.4754551649093628,
511
+ "learning_rate": 9.628848587094055e-06,
512
+ "loss": 0.8048,
513
+ "step": 7200
514
+ },
515
+ {
516
+ "epoch": 0.57,
517
+ "grad_norm": 1.8752347230911255,
518
+ "learning_rate": 9.611978068325601e-06,
519
+ "loss": 0.8074,
520
+ "step": 7300
521
+ },
522
+ {
523
+ "epoch": 0.58,
524
+ "grad_norm": 1.369080662727356,
525
+ "learning_rate": 9.59510754955715e-06,
526
+ "loss": 0.8029,
527
+ "step": 7400
528
+ },
529
+ {
530
+ "epoch": 0.58,
531
+ "grad_norm": 1.7981059551239014,
532
+ "learning_rate": 9.578237030788698e-06,
533
+ "loss": 0.7985,
534
+ "step": 7500
535
+ },
536
+ {
537
+ "epoch": 0.59,
538
+ "grad_norm": 1.5368590354919434,
539
+ "learning_rate": 9.561366512020246e-06,
540
+ "loss": 0.7893,
541
+ "step": 7600
542
+ },
543
+ {
544
+ "epoch": 0.6,
545
+ "grad_norm": 1.3475455045700073,
546
+ "learning_rate": 9.544495993251794e-06,
547
+ "loss": 0.7867,
548
+ "step": 7700
549
+ },
550
+ {
551
+ "epoch": 0.61,
552
+ "grad_norm": 1.386738657951355,
553
+ "learning_rate": 9.52762547448334e-06,
554
+ "loss": 0.7761,
555
+ "step": 7800
556
+ },
557
+ {
558
+ "epoch": 0.61,
559
+ "grad_norm": 1.6115236282348633,
560
+ "learning_rate": 9.510754955714889e-06,
561
+ "loss": 0.8028,
562
+ "step": 7900
563
+ },
564
+ {
565
+ "epoch": 0.62,
566
+ "grad_norm": 1.6878514289855957,
567
+ "learning_rate": 9.493884436946437e-06,
568
+ "loss": 0.7722,
569
+ "step": 8000
570
+ },
571
+ {
572
+ "epoch": 0.63,
573
+ "grad_norm": 1.4150365591049194,
574
+ "learning_rate": 9.477013918177985e-06,
575
+ "loss": 0.7835,
576
+ "step": 8100
577
+ },
578
+ {
579
+ "epoch": 0.64,
580
+ "grad_norm": 1.39914870262146,
581
+ "learning_rate": 9.460143399409532e-06,
582
+ "loss": 0.7764,
583
+ "step": 8200
584
+ },
585
+ {
586
+ "epoch": 0.65,
587
+ "grad_norm": 1.3100072145462036,
588
+ "learning_rate": 9.44327288064108e-06,
589
+ "loss": 0.7824,
590
+ "step": 8300
591
+ },
592
+ {
593
+ "epoch": 0.65,
594
+ "grad_norm": 1.5020335912704468,
595
+ "learning_rate": 9.426402361872628e-06,
596
+ "loss": 0.7649,
597
+ "step": 8400
598
+ },
599
+ {
600
+ "epoch": 0.66,
601
+ "grad_norm": 1.3903230428695679,
602
+ "learning_rate": 9.409531843104176e-06,
603
+ "loss": 0.7664,
604
+ "step": 8500
605
+ },
606
+ {
607
+ "epoch": 0.67,
608
+ "grad_norm": 1.3603887557983398,
609
+ "learning_rate": 9.392661324335725e-06,
610
+ "loss": 0.7588,
611
+ "step": 8600
612
+ },
613
+ {
614
+ "epoch": 0.68,
615
+ "grad_norm": 1.2914139032363892,
616
+ "learning_rate": 9.375790805567271e-06,
617
+ "loss": 0.7467,
618
+ "step": 8700
619
+ },
620
+ {
621
+ "epoch": 0.68,
622
+ "grad_norm": 1.2703696489334106,
623
+ "learning_rate": 9.35892028679882e-06,
624
+ "loss": 0.7515,
625
+ "step": 8800
626
+ },
627
+ {
628
+ "epoch": 0.69,
629
+ "grad_norm": 1.3954447507858276,
630
+ "learning_rate": 9.342049768030368e-06,
631
+ "loss": 0.752,
632
+ "step": 8900
633
+ },
634
+ {
635
+ "epoch": 0.7,
636
+ "grad_norm": 1.2770296335220337,
637
+ "learning_rate": 9.325179249261916e-06,
638
+ "loss": 0.7462,
639
+ "step": 9000
640
+ },
641
+ {
642
+ "epoch": 0.71,
643
+ "grad_norm": 1.3484748601913452,
644
+ "learning_rate": 9.308308730493464e-06,
645
+ "loss": 0.7368,
646
+ "step": 9100
647
+ },
648
+ {
649
+ "epoch": 0.72,
650
+ "grad_norm": 1.2490614652633667,
651
+ "learning_rate": 9.29143821172501e-06,
652
+ "loss": 0.7488,
653
+ "step": 9200
654
+ },
655
+ {
656
+ "epoch": 0.72,
657
+ "grad_norm": 1.2963238954544067,
658
+ "learning_rate": 9.274567692956559e-06,
659
+ "loss": 0.739,
660
+ "step": 9300
661
+ },
662
+ {
663
+ "epoch": 0.73,
664
+ "grad_norm": 1.4898951053619385,
665
+ "learning_rate": 9.257697174188107e-06,
666
+ "loss": 0.7448,
667
+ "step": 9400
668
+ },
669
+ {
670
+ "epoch": 0.74,
671
+ "grad_norm": 1.5196597576141357,
672
+ "learning_rate": 9.240826655419655e-06,
673
+ "loss": 0.7271,
674
+ "step": 9500
675
+ },
676
+ {
677
+ "epoch": 0.75,
678
+ "grad_norm": 1.3974419832229614,
679
+ "learning_rate": 9.223956136651203e-06,
680
+ "loss": 0.7492,
681
+ "step": 9600
682
+ },
683
+ {
684
+ "epoch": 0.75,
685
+ "grad_norm": 1.3109018802642822,
686
+ "learning_rate": 9.20708561788275e-06,
687
+ "loss": 0.7374,
688
+ "step": 9700
689
+ },
690
+ {
691
+ "epoch": 0.76,
692
+ "grad_norm": 1.616546630859375,
693
+ "learning_rate": 9.190215099114298e-06,
694
+ "loss": 0.7221,
695
+ "step": 9800
696
+ },
697
+ {
698
+ "epoch": 0.77,
699
+ "grad_norm": 1.382163405418396,
700
+ "learning_rate": 9.173344580345846e-06,
701
+ "loss": 0.7263,
702
+ "step": 9900
703
+ },
704
+ {
705
+ "epoch": 0.78,
706
+ "grad_norm": 1.368768572807312,
707
+ "learning_rate": 9.156474061577395e-06,
708
+ "loss": 0.7352,
709
+ "step": 10000
710
+ },
711
+ {
712
+ "epoch": 0.79,
713
+ "grad_norm": 1.3974610567092896,
714
+ "learning_rate": 9.139603542808943e-06,
715
+ "loss": 0.7276,
716
+ "step": 10100
717
+ },
718
+ {
719
+ "epoch": 0.79,
720
+ "grad_norm": 1.3801538944244385,
721
+ "learning_rate": 9.12273302404049e-06,
722
+ "loss": 0.7234,
723
+ "step": 10200
724
+ },
725
+ {
726
+ "epoch": 0.8,
727
+ "grad_norm": 1.2477465867996216,
728
+ "learning_rate": 9.10586250527204e-06,
729
+ "loss": 0.7254,
730
+ "step": 10300
731
+ },
732
+ {
733
+ "epoch": 0.81,
734
+ "grad_norm": 1.3689539432525635,
735
+ "learning_rate": 9.088991986503586e-06,
736
+ "loss": 0.7094,
737
+ "step": 10400
738
+ },
739
+ {
740
+ "epoch": 0.82,
741
+ "grad_norm": 1.0961337089538574,
742
+ "learning_rate": 9.072121467735134e-06,
743
+ "loss": 0.7262,
744
+ "step": 10500
745
+ },
746
+ {
747
+ "epoch": 0.82,
748
+ "grad_norm": 1.39137601852417,
749
+ "learning_rate": 9.055250948966682e-06,
750
+ "loss": 0.7249,
751
+ "step": 10600
752
+ },
753
+ {
754
+ "epoch": 0.83,
755
+ "grad_norm": 1.2879551649093628,
756
+ "learning_rate": 9.038380430198229e-06,
757
+ "loss": 0.7056,
758
+ "step": 10700
759
+ },
760
+ {
761
+ "epoch": 0.84,
762
+ "grad_norm": 1.1503087282180786,
763
+ "learning_rate": 9.021509911429777e-06,
764
+ "loss": 0.7096,
765
+ "step": 10800
766
+ },
767
+ {
768
+ "epoch": 0.85,
769
+ "grad_norm": 1.3748828172683716,
770
+ "learning_rate": 9.004639392661325e-06,
771
+ "loss": 0.6976,
772
+ "step": 10900
773
+ },
774
+ {
775
+ "epoch": 0.86,
776
+ "grad_norm": 1.1935720443725586,
777
+ "learning_rate": 8.987768873892873e-06,
778
+ "loss": 0.7062,
779
+ "step": 11000
780
+ },
781
+ {
782
+ "epoch": 0.86,
783
+ "grad_norm": 1.3598394393920898,
784
+ "learning_rate": 8.970898355124422e-06,
785
+ "loss": 0.7095,
786
+ "step": 11100
787
+ },
788
+ {
789
+ "epoch": 0.87,
790
+ "grad_norm": 1.1463404893875122,
791
+ "learning_rate": 8.954027836355968e-06,
792
+ "loss": 0.7084,
793
+ "step": 11200
794
+ },
795
+ {
796
+ "epoch": 0.88,
797
+ "grad_norm": 1.1318614482879639,
798
+ "learning_rate": 8.937157317587516e-06,
799
+ "loss": 0.7034,
800
+ "step": 11300
801
+ },
802
+ {
803
+ "epoch": 0.89,
804
+ "grad_norm": 1.3571819067001343,
805
+ "learning_rate": 8.920286798819064e-06,
806
+ "loss": 0.6979,
807
+ "step": 11400
808
+ },
809
+ {
810
+ "epoch": 0.89,
811
+ "grad_norm": 1.1747997999191284,
812
+ "learning_rate": 8.903416280050613e-06,
813
+ "loss": 0.6922,
814
+ "step": 11500
815
+ },
816
+ {
817
+ "epoch": 0.9,
818
+ "grad_norm": 1.3801376819610596,
819
+ "learning_rate": 8.886545761282161e-06,
820
+ "loss": 0.7025,
821
+ "step": 11600
822
+ },
823
+ {
824
+ "epoch": 0.91,
825
+ "grad_norm": 1.2742717266082764,
826
+ "learning_rate": 8.869675242513707e-06,
827
+ "loss": 0.7007,
828
+ "step": 11700
829
+ },
830
+ {
831
+ "epoch": 0.92,
832
+ "grad_norm": 1.261022925376892,
833
+ "learning_rate": 8.852804723745256e-06,
834
+ "loss": 0.7088,
835
+ "step": 11800
836
+ },
837
+ {
838
+ "epoch": 0.93,
839
+ "grad_norm": 1.1409653425216675,
840
+ "learning_rate": 8.835934204976804e-06,
841
+ "loss": 0.6876,
842
+ "step": 11900
843
+ },
844
+ {
845
+ "epoch": 0.93,
846
+ "grad_norm": 1.2370312213897705,
847
+ "learning_rate": 8.81906368620835e-06,
848
+ "loss": 0.6842,
849
+ "step": 12000
850
+ },
851
+ {
852
+ "epoch": 0.94,
853
+ "grad_norm": 1.2493584156036377,
854
+ "learning_rate": 8.8021931674399e-06,
855
+ "loss": 0.6861,
856
+ "step": 12100
857
+ },
858
+ {
859
+ "epoch": 0.95,
860
+ "grad_norm": 1.0940289497375488,
861
+ "learning_rate": 8.785322648671447e-06,
862
+ "loss": 0.678,
863
+ "step": 12200
864
+ },
865
+ {
866
+ "epoch": 0.96,
867
+ "grad_norm": 1.0800695419311523,
868
+ "learning_rate": 8.768452129902995e-06,
869
+ "loss": 0.6762,
870
+ "step": 12300
871
+ },
872
+ {
873
+ "epoch": 0.96,
874
+ "grad_norm": 1.2263818979263306,
875
+ "learning_rate": 8.751581611134543e-06,
876
+ "loss": 0.6882,
877
+ "step": 12400
878
+ },
879
+ {
880
+ "epoch": 0.97,
881
+ "grad_norm": 1.094193696975708,
882
+ "learning_rate": 8.73471109236609e-06,
883
+ "loss": 0.6704,
884
+ "step": 12500
885
+ },
886
+ {
887
+ "epoch": 0.98,
888
+ "grad_norm": 1.4435601234436035,
889
+ "learning_rate": 8.71784057359764e-06,
890
+ "loss": 0.68,
891
+ "step": 12600
892
+ },
893
+ {
894
+ "epoch": 0.99,
895
+ "grad_norm": 1.3831571340560913,
896
+ "learning_rate": 8.700970054829186e-06,
897
+ "loss": 0.6804,
898
+ "step": 12700
899
+ },
900
+ {
901
+ "epoch": 1.0,
902
+ "grad_norm": 1.1377003192901611,
903
+ "learning_rate": 8.684099536060734e-06,
904
+ "loss": 0.6801,
905
+ "step": 12800
906
+ },
907
+ {
908
+ "epoch": 1.0,
909
+ "eval_loss": 0.6581470370292664,
910
+ "eval_runtime": 240.2734,
911
+ "eval_samples_per_second": 26.836,
912
+ "eval_steps_per_second": 26.836,
913
+ "step": 12855
914
+ },
915
+ {
916
+ "epoch": 1.0,
917
+ "grad_norm": 1.3885269165039062,
918
+ "learning_rate": 8.667229017292283e-06,
919
+ "loss": 0.6454,
920
+ "step": 12900
921
+ },
922
+ {
923
+ "epoch": 1.01,
924
+ "grad_norm": 1.1746355295181274,
925
+ "learning_rate": 8.650358498523829e-06,
926
+ "loss": 0.6355,
927
+ "step": 13000
928
+ },
929
+ {
930
+ "epoch": 1.02,
931
+ "grad_norm": 1.184806227684021,
932
+ "learning_rate": 8.633487979755379e-06,
933
+ "loss": 0.6237,
934
+ "step": 13100
935
+ },
936
+ {
937
+ "epoch": 1.03,
938
+ "grad_norm": 1.1578764915466309,
939
+ "learning_rate": 8.616617460986926e-06,
940
+ "loss": 0.629,
941
+ "step": 13200
942
+ },
943
+ {
944
+ "epoch": 1.03,
945
+ "grad_norm": 1.0176867246627808,
946
+ "learning_rate": 8.599746942218474e-06,
947
+ "loss": 0.6272,
948
+ "step": 13300
949
+ },
950
+ {
951
+ "epoch": 1.04,
952
+ "grad_norm": 1.1205527782440186,
953
+ "learning_rate": 8.582876423450022e-06,
954
+ "loss": 0.6241,
955
+ "step": 13400
956
+ },
957
+ {
958
+ "epoch": 1.05,
959
+ "grad_norm": 1.56365966796875,
960
+ "learning_rate": 8.566005904681568e-06,
961
+ "loss": 0.6259,
962
+ "step": 13500
963
+ },
964
+ {
965
+ "epoch": 1.06,
966
+ "grad_norm": 1.3043173551559448,
967
+ "learning_rate": 8.549135385913118e-06,
968
+ "loss": 0.6168,
969
+ "step": 13600
970
+ },
971
+ {
972
+ "epoch": 1.07,
973
+ "grad_norm": 1.1044868230819702,
974
+ "learning_rate": 8.532264867144665e-06,
975
+ "loss": 0.6379,
976
+ "step": 13700
977
+ },
978
+ {
979
+ "epoch": 1.07,
980
+ "grad_norm": 1.189816951751709,
981
+ "learning_rate": 8.515394348376213e-06,
982
+ "loss": 0.6197,
983
+ "step": 13800
984
+ },
985
+ {
986
+ "epoch": 1.08,
987
+ "grad_norm": 1.2163881063461304,
988
+ "learning_rate": 8.498523829607761e-06,
989
+ "loss": 0.6254,
990
+ "step": 13900
991
+ },
992
+ {
993
+ "epoch": 1.09,
994
+ "grad_norm": 1.2914482355117798,
995
+ "learning_rate": 8.48165331083931e-06,
996
+ "loss": 0.6198,
997
+ "step": 14000
998
+ },
999
+ {
1000
+ "epoch": 1.1,
1001
+ "grad_norm": 1.1523815393447876,
1002
+ "learning_rate": 8.464782792070858e-06,
1003
+ "loss": 0.6319,
1004
+ "step": 14100
1005
+ },
1006
+ {
1007
+ "epoch": 1.1,
1008
+ "grad_norm": 1.0500476360321045,
1009
+ "learning_rate": 8.447912273302404e-06,
1010
+ "loss": 0.6264,
1011
+ "step": 14200
1012
+ },
1013
+ {
1014
+ "epoch": 1.11,
1015
+ "grad_norm": 1.2976247072219849,
1016
+ "learning_rate": 8.431041754533953e-06,
1017
+ "loss": 0.6291,
1018
+ "step": 14300
1019
+ },
1020
+ {
1021
+ "epoch": 1.12,
1022
+ "grad_norm": 1.1747026443481445,
1023
+ "learning_rate": 8.4141712357655e-06,
1024
+ "loss": 0.6247,
1025
+ "step": 14400
1026
+ },
1027
+ {
1028
+ "epoch": 1.13,
1029
+ "grad_norm": 1.2161647081375122,
1030
+ "learning_rate": 8.397300716997049e-06,
1031
+ "loss": 0.6271,
1032
+ "step": 14500
1033
+ },
1034
+ {
1035
+ "epoch": 1.14,
1036
+ "grad_norm": 1.1042088270187378,
1037
+ "learning_rate": 8.380430198228595e-06,
1038
+ "loss": 0.6225,
1039
+ "step": 14600
1040
+ },
1041
+ {
1042
+ "epoch": 1.14,
1043
+ "grad_norm": 1.235410213470459,
1044
+ "learning_rate": 8.363559679460144e-06,
1045
+ "loss": 0.6192,
1046
+ "step": 14700
1047
+ },
1048
+ {
1049
+ "epoch": 1.15,
1050
+ "grad_norm": 1.341143012046814,
1051
+ "learning_rate": 8.346689160691692e-06,
1052
+ "loss": 0.6185,
1053
+ "step": 14800
1054
+ },
1055
+ {
1056
+ "epoch": 1.16,
1057
+ "grad_norm": 1.378353476524353,
1058
+ "learning_rate": 8.32981864192324e-06,
1059
+ "loss": 0.6186,
1060
+ "step": 14900
1061
+ },
1062
+ {
1063
+ "epoch": 1.17,
1064
+ "grad_norm": 1.2785013914108276,
1065
+ "learning_rate": 8.312948123154788e-06,
1066
+ "loss": 0.6284,
1067
+ "step": 15000
1068
+ },
1069
+ {
1070
+ "epoch": 1.17,
1071
+ "grad_norm": 1.2899855375289917,
1072
+ "learning_rate": 8.296077604386335e-06,
1073
+ "loss": 0.6173,
1074
+ "step": 15100
1075
+ },
1076
+ {
1077
+ "epoch": 1.18,
1078
+ "grad_norm": 1.2241288423538208,
1079
+ "learning_rate": 8.279207085617883e-06,
1080
+ "loss": 0.6248,
1081
+ "step": 15200
1082
+ },
1083
+ {
1084
+ "epoch": 1.19,
1085
+ "grad_norm": 1.124097228050232,
1086
+ "learning_rate": 8.262336566849431e-06,
1087
+ "loss": 0.6221,
1088
+ "step": 15300
1089
+ },
1090
+ {
1091
+ "epoch": 1.2,
1092
+ "grad_norm": 1.1559983491897583,
1093
+ "learning_rate": 8.24546604808098e-06,
1094
+ "loss": 0.619,
1095
+ "step": 15400
1096
+ },
1097
+ {
1098
+ "epoch": 1.21,
1099
+ "grad_norm": 1.0540140867233276,
1100
+ "learning_rate": 8.228595529312528e-06,
1101
+ "loss": 0.6095,
1102
+ "step": 15500
1103
+ },
1104
+ {
1105
+ "epoch": 1.21,
1106
+ "grad_norm": 1.301646113395691,
1107
+ "learning_rate": 8.211725010544074e-06,
1108
+ "loss": 0.6211,
1109
+ "step": 15600
1110
+ },
1111
+ {
1112
+ "epoch": 1.22,
1113
+ "grad_norm": 1.4309414625167847,
1114
+ "learning_rate": 8.194854491775622e-06,
1115
+ "loss": 0.6244,
1116
+ "step": 15700
1117
+ },
1118
+ {
1119
+ "epoch": 1.23,
1120
+ "grad_norm": 1.49406099319458,
1121
+ "learning_rate": 8.17798397300717e-06,
1122
+ "loss": 0.6177,
1123
+ "step": 15800
1124
+ },
1125
+ {
1126
+ "epoch": 1.24,
1127
+ "grad_norm": 1.1188528537750244,
1128
+ "learning_rate": 8.161113454238719e-06,
1129
+ "loss": 0.6346,
1130
+ "step": 15900
1131
+ },
1132
+ {
1133
+ "epoch": 1.24,
1134
+ "grad_norm": 1.14681875705719,
1135
+ "learning_rate": 8.144242935470267e-06,
1136
+ "loss": 0.6218,
1137
+ "step": 16000
1138
+ },
1139
+ {
1140
+ "epoch": 1.25,
1141
+ "grad_norm": 1.106151819229126,
1142
+ "learning_rate": 8.127372416701814e-06,
1143
+ "loss": 0.6173,
1144
+ "step": 16100
1145
+ },
1146
+ {
1147
+ "epoch": 1.26,
1148
+ "grad_norm": 1.0186794996261597,
1149
+ "learning_rate": 8.110501897933362e-06,
1150
+ "loss": 0.6126,
1151
+ "step": 16200
1152
+ },
1153
+ {
1154
+ "epoch": 1.27,
1155
+ "grad_norm": 1.2177096605300903,
1156
+ "learning_rate": 8.09363137916491e-06,
1157
+ "loss": 0.6262,
1158
+ "step": 16300
1159
+ },
1160
+ {
1161
+ "epoch": 1.28,
1162
+ "grad_norm": 1.1168888807296753,
1163
+ "learning_rate": 8.076760860396458e-06,
1164
+ "loss": 0.6099,
1165
+ "step": 16400
1166
+ },
1167
+ {
1168
+ "epoch": 1.28,
1169
+ "grad_norm": 1.5206681489944458,
1170
+ "learning_rate": 8.059890341628006e-06,
1171
+ "loss": 0.6182,
1172
+ "step": 16500
1173
+ },
1174
+ {
1175
+ "epoch": 1.29,
1176
+ "grad_norm": 1.2879040241241455,
1177
+ "learning_rate": 8.043019822859553e-06,
1178
+ "loss": 0.6217,
1179
+ "step": 16600
1180
+ },
1181
+ {
1182
+ "epoch": 1.3,
1183
+ "grad_norm": 1.1366697549819946,
1184
+ "learning_rate": 8.026149304091101e-06,
1185
+ "loss": 0.6114,
1186
+ "step": 16700
1187
+ },
1188
+ {
1189
+ "epoch": 1.31,
1190
+ "grad_norm": 1.0332260131835938,
1191
+ "learning_rate": 8.00927878532265e-06,
1192
+ "loss": 0.607,
1193
+ "step": 16800
1194
+ },
1195
+ {
1196
+ "epoch": 1.31,
1197
+ "grad_norm": 1.2021900415420532,
1198
+ "learning_rate": 7.992408266554198e-06,
1199
+ "loss": 0.6062,
1200
+ "step": 16900
1201
+ },
1202
+ {
1203
+ "epoch": 1.32,
1204
+ "grad_norm": 1.1737139225006104,
1205
+ "learning_rate": 7.975537747785746e-06,
1206
+ "loss": 0.6109,
1207
+ "step": 17000
1208
+ },
1209
+ {
1210
+ "epoch": 1.33,
1211
+ "grad_norm": 1.2494922876358032,
1212
+ "learning_rate": 7.958667229017292e-06,
1213
+ "loss": 0.6139,
1214
+ "step": 17100
1215
+ },
1216
+ {
1217
+ "epoch": 1.34,
1218
+ "grad_norm": 1.04032301902771,
1219
+ "learning_rate": 7.94179671024884e-06,
1220
+ "loss": 0.5907,
1221
+ "step": 17200
1222
+ },
1223
+ {
1224
+ "epoch": 1.35,
1225
+ "grad_norm": 1.016192078590393,
1226
+ "learning_rate": 7.924926191480389e-06,
1227
+ "loss": 0.607,
1228
+ "step": 17300
1229
+ },
1230
+ {
1231
+ "epoch": 1.35,
1232
+ "grad_norm": 1.055438756942749,
1233
+ "learning_rate": 7.908055672711937e-06,
1234
+ "loss": 0.5982,
1235
+ "step": 17400
1236
+ },
1237
+ {
1238
+ "epoch": 1.36,
1239
+ "grad_norm": 1.1405280828475952,
1240
+ "learning_rate": 7.891185153943485e-06,
1241
+ "loss": 0.6077,
1242
+ "step": 17500
1243
+ },
1244
+ {
1245
+ "epoch": 1.37,
1246
+ "grad_norm": 1.2112674713134766,
1247
+ "learning_rate": 7.874314635175032e-06,
1248
+ "loss": 0.6004,
1249
+ "step": 17600
1250
+ },
1251
+ {
1252
+ "epoch": 1.38,
1253
+ "grad_norm": 1.1471858024597168,
1254
+ "learning_rate": 7.85744411640658e-06,
1255
+ "loss": 0.6066,
1256
+ "step": 17700
1257
+ },
1258
+ {
1259
+ "epoch": 1.38,
1260
+ "grad_norm": 1.1858110427856445,
1261
+ "learning_rate": 7.840573597638128e-06,
1262
+ "loss": 0.6071,
1263
+ "step": 17800
1264
+ },
1265
+ {
1266
+ "epoch": 1.39,
1267
+ "grad_norm": 1.2066441774368286,
1268
+ "learning_rate": 7.823703078869675e-06,
1269
+ "loss": 0.6009,
1270
+ "step": 17900
1271
+ },
1272
+ {
1273
+ "epoch": 1.4,
1274
+ "grad_norm": 1.2638628482818604,
1275
+ "learning_rate": 7.806832560101225e-06,
1276
+ "loss": 0.6135,
1277
+ "step": 18000
1278
+ },
1279
+ {
1280
+ "epoch": 1.41,
1281
+ "grad_norm": 1.1812059879302979,
1282
+ "learning_rate": 7.789962041332771e-06,
1283
+ "loss": 0.6101,
1284
+ "step": 18100
1285
+ },
1286
+ {
1287
+ "epoch": 1.42,
1288
+ "grad_norm": 1.1751078367233276,
1289
+ "learning_rate": 7.77309152256432e-06,
1290
+ "loss": 0.5935,
1291
+ "step": 18200
1292
+ },
1293
+ {
1294
+ "epoch": 1.42,
1295
+ "grad_norm": 1.1354562044143677,
1296
+ "learning_rate": 7.756221003795868e-06,
1297
+ "loss": 0.6121,
1298
+ "step": 18300
1299
+ },
1300
+ {
1301
+ "epoch": 1.43,
1302
+ "grad_norm": 1.133031964302063,
1303
+ "learning_rate": 7.739350485027414e-06,
1304
+ "loss": 0.6087,
1305
+ "step": 18400
1306
+ },
1307
+ {
1308
+ "epoch": 1.44,
1309
+ "grad_norm": 1.0784614086151123,
1310
+ "learning_rate": 7.722479966258964e-06,
1311
+ "loss": 0.5897,
1312
+ "step": 18500
1313
+ },
1314
+ {
1315
+ "epoch": 1.45,
1316
+ "grad_norm": 1.2417889833450317,
1317
+ "learning_rate": 7.70560944749051e-06,
1318
+ "loss": 0.6003,
1319
+ "step": 18600
1320
+ },
1321
+ {
1322
+ "epoch": 1.45,
1323
+ "grad_norm": 1.0895743370056152,
1324
+ "learning_rate": 7.688738928722059e-06,
1325
+ "loss": 0.5951,
1326
+ "step": 18700
1327
+ },
1328
+ {
1329
+ "epoch": 1.46,
1330
+ "grad_norm": 0.9925142526626587,
1331
+ "learning_rate": 7.671868409953607e-06,
1332
+ "loss": 0.5913,
1333
+ "step": 18800
1334
+ },
1335
+ {
1336
+ "epoch": 1.47,
1337
+ "grad_norm": 1.1214051246643066,
1338
+ "learning_rate": 7.654997891185153e-06,
1339
+ "loss": 0.601,
1340
+ "step": 18900
1341
+ },
1342
+ {
1343
+ "epoch": 1.48,
1344
+ "grad_norm": 1.155522346496582,
1345
+ "learning_rate": 7.638127372416703e-06,
1346
+ "loss": 0.5898,
1347
+ "step": 19000
1348
+ },
1349
+ {
1350
+ "epoch": 1.49,
1351
+ "grad_norm": 1.2364145517349243,
1352
+ "learning_rate": 7.62125685364825e-06,
1353
+ "loss": 0.5968,
1354
+ "step": 19100
1355
+ },
1356
+ {
1357
+ "epoch": 1.49,
1358
+ "grad_norm": 1.1163456439971924,
1359
+ "learning_rate": 7.604386334879799e-06,
1360
+ "loss": 0.5887,
1361
+ "step": 19200
1362
+ },
1363
+ {
1364
+ "epoch": 1.5,
1365
+ "grad_norm": 1.2798086404800415,
1366
+ "learning_rate": 7.587515816111346e-06,
1367
+ "loss": 0.6007,
1368
+ "step": 19300
1369
+ },
1370
+ {
1371
+ "epoch": 1.51,
1372
+ "grad_norm": 1.0055946111679077,
1373
+ "learning_rate": 7.570645297342894e-06,
1374
+ "loss": 0.5816,
1375
+ "step": 19400
1376
+ },
1377
+ {
1378
+ "epoch": 1.52,
1379
+ "grad_norm": 1.117680549621582,
1380
+ "learning_rate": 7.553774778574442e-06,
1381
+ "loss": 0.5953,
1382
+ "step": 19500
1383
+ },
1384
+ {
1385
+ "epoch": 1.52,
1386
+ "grad_norm": 1.2904775142669678,
1387
+ "learning_rate": 7.536904259805989e-06,
1388
+ "loss": 0.5959,
1389
+ "step": 19600
1390
+ },
1391
+ {
1392
+ "epoch": 1.53,
1393
+ "grad_norm": 1.199350118637085,
1394
+ "learning_rate": 7.520033741037538e-06,
1395
+ "loss": 0.5871,
1396
+ "step": 19700
1397
+ },
1398
+ {
1399
+ "epoch": 1.54,
1400
+ "grad_norm": 1.219810128211975,
1401
+ "learning_rate": 7.503163222269086e-06,
1402
+ "loss": 0.5873,
1403
+ "step": 19800
1404
+ },
1405
+ {
1406
+ "epoch": 1.55,
1407
+ "grad_norm": 1.2980371713638306,
1408
+ "learning_rate": 7.486292703500633e-06,
1409
+ "loss": 0.5932,
1410
+ "step": 19900
1411
+ },
1412
+ {
1413
+ "epoch": 1.56,
1414
+ "grad_norm": 1.1398423910140991,
1415
+ "learning_rate": 7.469422184732181e-06,
1416
+ "loss": 0.5862,
1417
+ "step": 20000
1418
+ },
1419
+ {
1420
+ "epoch": 1.56,
1421
+ "grad_norm": 1.477073311805725,
1422
+ "learning_rate": 7.452551665963729e-06,
1423
+ "loss": 0.5921,
1424
+ "step": 20100
1425
+ },
1426
+ {
1427
+ "epoch": 1.57,
1428
+ "grad_norm": 1.0095638036727905,
1429
+ "learning_rate": 7.435681147195278e-06,
1430
+ "loss": 0.5907,
1431
+ "step": 20200
1432
+ },
1433
+ {
1434
+ "epoch": 1.58,
1435
+ "grad_norm": 1.077609658241272,
1436
+ "learning_rate": 7.418810628426825e-06,
1437
+ "loss": 0.5817,
1438
+ "step": 20300
1439
+ },
1440
+ {
1441
+ "epoch": 1.59,
1442
+ "grad_norm": 0.9858334064483643,
1443
+ "learning_rate": 7.401940109658372e-06,
1444
+ "loss": 0.5939,
1445
+ "step": 20400
1446
+ },
1447
+ {
1448
+ "epoch": 1.59,
1449
+ "grad_norm": 1.268883228302002,
1450
+ "learning_rate": 7.385069590889921e-06,
1451
+ "loss": 0.5885,
1452
+ "step": 20500
1453
+ },
1454
+ {
1455
+ "epoch": 1.6,
1456
+ "grad_norm": 1.2403576374053955,
1457
+ "learning_rate": 7.368199072121468e-06,
1458
+ "loss": 0.6015,
1459
+ "step": 20600
1460
+ },
1461
+ {
1462
+ "epoch": 1.61,
1463
+ "grad_norm": 1.0347434282302856,
1464
+ "learning_rate": 7.351328553353016e-06,
1465
+ "loss": 0.5851,
1466
+ "step": 20700
1467
+ },
1468
+ {
1469
+ "epoch": 1.62,
1470
+ "grad_norm": 0.9588680863380432,
1471
+ "learning_rate": 7.3344580345845635e-06,
1472
+ "loss": 0.5959,
1473
+ "step": 20800
1474
+ },
1475
+ {
1476
+ "epoch": 1.63,
1477
+ "grad_norm": 1.133475661277771,
1478
+ "learning_rate": 7.317587515816113e-06,
1479
+ "loss": 0.5887,
1480
+ "step": 20900
1481
+ },
1482
+ {
1483
+ "epoch": 1.63,
1484
+ "grad_norm": 1.2239305973052979,
1485
+ "learning_rate": 7.30071699704766e-06,
1486
+ "loss": 0.5774,
1487
+ "step": 21000
1488
+ },
1489
+ {
1490
+ "epoch": 1.64,
1491
+ "grad_norm": 1.2144396305084229,
1492
+ "learning_rate": 7.283846478279207e-06,
1493
+ "loss": 0.5829,
1494
+ "step": 21100
1495
+ },
1496
+ {
1497
+ "epoch": 1.65,
1498
+ "grad_norm": 1.1166149377822876,
1499
+ "learning_rate": 7.2669759595107556e-06,
1500
+ "loss": 0.5807,
1501
+ "step": 21200
1502
+ },
1503
+ {
1504
+ "epoch": 1.66,
1505
+ "grad_norm": 1.1699156761169434,
1506
+ "learning_rate": 7.250105440742303e-06,
1507
+ "loss": 0.5769,
1508
+ "step": 21300
1509
+ },
1510
+ {
1511
+ "epoch": 1.66,
1512
+ "grad_norm": 1.0418583154678345,
1513
+ "learning_rate": 7.233234921973852e-06,
1514
+ "loss": 0.586,
1515
+ "step": 21400
1516
+ },
1517
+ {
1518
+ "epoch": 1.67,
1519
+ "grad_norm": 1.097359538078308,
1520
+ "learning_rate": 7.216364403205399e-06,
1521
+ "loss": 0.5736,
1522
+ "step": 21500
1523
+ },
1524
+ {
1525
+ "epoch": 1.68,
1526
+ "grad_norm": 1.157788872718811,
1527
+ "learning_rate": 7.199493884436947e-06,
1528
+ "loss": 0.5813,
1529
+ "step": 21600
1530
+ },
1531
+ {
1532
+ "epoch": 1.69,
1533
+ "grad_norm": 1.1046146154403687,
1534
+ "learning_rate": 7.182623365668495e-06,
1535
+ "loss": 0.56,
1536
+ "step": 21700
1537
+ },
1538
+ {
1539
+ "epoch": 1.7,
1540
+ "grad_norm": 1.3684812784194946,
1541
+ "learning_rate": 7.165752846900042e-06,
1542
+ "loss": 0.5738,
1543
+ "step": 21800
1544
+ },
1545
+ {
1546
+ "epoch": 1.7,
1547
+ "grad_norm": 1.2205299139022827,
1548
+ "learning_rate": 7.148882328131591e-06,
1549
+ "loss": 0.5714,
1550
+ "step": 21900
1551
+ },
1552
+ {
1553
+ "epoch": 1.71,
1554
+ "grad_norm": 1.132609248161316,
1555
+ "learning_rate": 7.132011809363139e-06,
1556
+ "loss": 0.5836,
1557
+ "step": 22000
1558
+ },
1559
+ {
1560
+ "epoch": 1.72,
1561
+ "grad_norm": 1.446101427078247,
1562
+ "learning_rate": 7.115141290594686e-06,
1563
+ "loss": 0.5876,
1564
+ "step": 22100
1565
+ },
1566
+ {
1567
+ "epoch": 1.73,
1568
+ "grad_norm": 1.0895814895629883,
1569
+ "learning_rate": 7.098270771826234e-06,
1570
+ "loss": 0.5722,
1571
+ "step": 22200
1572
+ },
1573
+ {
1574
+ "epoch": 1.73,
1575
+ "grad_norm": 1.146032452583313,
1576
+ "learning_rate": 7.081400253057782e-06,
1577
+ "loss": 0.5642,
1578
+ "step": 22300
1579
+ },
1580
+ {
1581
+ "epoch": 1.74,
1582
+ "grad_norm": 1.3625069856643677,
1583
+ "learning_rate": 7.064529734289331e-06,
1584
+ "loss": 0.5746,
1585
+ "step": 22400
1586
+ },
1587
+ {
1588
+ "epoch": 1.75,
1589
+ "grad_norm": 0.9880527257919312,
1590
+ "learning_rate": 7.047659215520878e-06,
1591
+ "loss": 0.5745,
1592
+ "step": 22500
1593
+ },
1594
+ {
1595
+ "epoch": 1.76,
1596
+ "grad_norm": 1.0360558032989502,
1597
+ "learning_rate": 7.0307886967524255e-06,
1598
+ "loss": 0.5711,
1599
+ "step": 22600
1600
+ },
1601
+ {
1602
+ "epoch": 1.77,
1603
+ "grad_norm": 1.2373803853988647,
1604
+ "learning_rate": 7.013918177983974e-06,
1605
+ "loss": 0.575,
1606
+ "step": 22700
1607
+ },
1608
+ {
1609
+ "epoch": 1.77,
1610
+ "grad_norm": 1.0527061223983765,
1611
+ "learning_rate": 6.997047659215521e-06,
1612
+ "loss": 0.5709,
1613
+ "step": 22800
1614
+ },
1615
+ {
1616
+ "epoch": 1.78,
1617
+ "grad_norm": 1.0829005241394043,
1618
+ "learning_rate": 6.98017714044707e-06,
1619
+ "loss": 0.572,
1620
+ "step": 22900
1621
+ },
1622
+ {
1623
+ "epoch": 1.79,
1624
+ "grad_norm": 1.1301981210708618,
1625
+ "learning_rate": 6.9633066216786175e-06,
1626
+ "loss": 0.5697,
1627
+ "step": 23000
1628
+ },
1629
+ {
1630
+ "epoch": 1.8,
1631
+ "grad_norm": 1.336841344833374,
1632
+ "learning_rate": 6.946436102910165e-06,
1633
+ "loss": 0.5756,
1634
+ "step": 23100
1635
+ },
1636
+ {
1637
+ "epoch": 1.8,
1638
+ "grad_norm": 1.3953934907913208,
1639
+ "learning_rate": 6.929565584141713e-06,
1640
+ "loss": 0.573,
1641
+ "step": 23200
1642
+ },
1643
+ {
1644
+ "epoch": 1.81,
1645
+ "grad_norm": 1.0496814250946045,
1646
+ "learning_rate": 6.91269506537326e-06,
1647
+ "loss": 0.5732,
1648
+ "step": 23300
1649
+ },
1650
+ {
1651
+ "epoch": 1.82,
1652
+ "grad_norm": 1.1564157009124756,
1653
+ "learning_rate": 6.895824546604809e-06,
1654
+ "loss": 0.5682,
1655
+ "step": 23400
1656
+ },
1657
+ {
1658
+ "epoch": 1.83,
1659
+ "grad_norm": 1.307882308959961,
1660
+ "learning_rate": 6.878954027836357e-06,
1661
+ "loss": 0.5709,
1662
+ "step": 23500
1663
+ },
1664
+ {
1665
+ "epoch": 1.84,
1666
+ "grad_norm": 1.1765997409820557,
1667
+ "learning_rate": 6.862083509067904e-06,
1668
+ "loss": 0.5773,
1669
+ "step": 23600
1670
+ },
1671
+ {
1672
+ "epoch": 1.84,
1673
+ "grad_norm": 1.1779475212097168,
1674
+ "learning_rate": 6.8452129902994524e-06,
1675
+ "loss": 0.5654,
1676
+ "step": 23700
1677
+ },
1678
+ {
1679
+ "epoch": 1.85,
1680
+ "grad_norm": 1.0180901288986206,
1681
+ "learning_rate": 6.828342471531e-06,
1682
+ "loss": 0.5704,
1683
+ "step": 23800
1684
+ },
1685
+ {
1686
+ "epoch": 1.86,
1687
+ "grad_norm": 1.0048550367355347,
1688
+ "learning_rate": 6.811471952762548e-06,
1689
+ "loss": 0.566,
1690
+ "step": 23900
1691
+ },
1692
+ {
1693
+ "epoch": 1.87,
1694
+ "grad_norm": 1.1614845991134644,
1695
+ "learning_rate": 6.794601433994095e-06,
1696
+ "loss": 0.5765,
1697
+ "step": 24000
1698
+ },
1699
+ {
1700
+ "epoch": 1.87,
1701
+ "grad_norm": 1.1774615049362183,
1702
+ "learning_rate": 6.777730915225644e-06,
1703
+ "loss": 0.5675,
1704
+ "step": 24100
1705
+ },
1706
+ {
1707
+ "epoch": 1.88,
1708
+ "grad_norm": 1.2056039571762085,
1709
+ "learning_rate": 6.760860396457192e-06,
1710
+ "loss": 0.5784,
1711
+ "step": 24200
1712
+ },
1713
+ {
1714
+ "epoch": 1.89,
1715
+ "grad_norm": 1.303844690322876,
1716
+ "learning_rate": 6.743989877688739e-06,
1717
+ "loss": 0.5676,
1718
+ "step": 24300
1719
+ },
1720
+ {
1721
+ "epoch": 1.9,
1722
+ "grad_norm": 1.2364120483398438,
1723
+ "learning_rate": 6.727119358920287e-06,
1724
+ "loss": 0.5629,
1725
+ "step": 24400
1726
+ },
1727
+ {
1728
+ "epoch": 1.91,
1729
+ "grad_norm": 1.1283705234527588,
1730
+ "learning_rate": 6.710248840151835e-06,
1731
+ "loss": 0.5737,
1732
+ "step": 24500
1733
+ },
1734
+ {
1735
+ "epoch": 1.91,
1736
+ "grad_norm": 1.0897367000579834,
1737
+ "learning_rate": 6.693378321383384e-06,
1738
+ "loss": 0.5628,
1739
+ "step": 24600
1740
+ },
1741
+ {
1742
+ "epoch": 1.92,
1743
+ "grad_norm": 1.104775309562683,
1744
+ "learning_rate": 6.676507802614931e-06,
1745
+ "loss": 0.5568,
1746
+ "step": 24700
1747
+ },
1748
+ {
1749
+ "epoch": 1.93,
1750
+ "grad_norm": 1.400399088859558,
1751
+ "learning_rate": 6.6596372838464785e-06,
1752
+ "loss": 0.581,
1753
+ "step": 24800
1754
+ },
1755
+ {
1756
+ "epoch": 1.94,
1757
+ "grad_norm": 1.2806612253189087,
1758
+ "learning_rate": 6.642766765078027e-06,
1759
+ "loss": 0.5746,
1760
+ "step": 24900
1761
+ },
1762
+ {
1763
+ "epoch": 1.94,
1764
+ "grad_norm": 1.1554964780807495,
1765
+ "learning_rate": 6.625896246309574e-06,
1766
+ "loss": 0.5481,
1767
+ "step": 25000
1768
+ },
1769
+ {
1770
+ "epoch": 1.95,
1771
+ "grad_norm": 1.6145806312561035,
1772
+ "learning_rate": 6.609025727541123e-06,
1773
+ "loss": 0.5639,
1774
+ "step": 25100
1775
+ },
1776
+ {
1777
+ "epoch": 1.96,
1778
+ "grad_norm": 1.025269865989685,
1779
+ "learning_rate": 6.5921552087726706e-06,
1780
+ "loss": 0.5586,
1781
+ "step": 25200
1782
+ },
1783
+ {
1784
+ "epoch": 1.97,
1785
+ "grad_norm": 1.1193889379501343,
1786
+ "learning_rate": 6.575284690004218e-06,
1787
+ "loss": 0.5573,
1788
+ "step": 25300
1789
+ },
1790
+ {
1791
+ "epoch": 1.98,
1792
+ "grad_norm": 1.177747130393982,
1793
+ "learning_rate": 6.558414171235766e-06,
1794
+ "loss": 0.5559,
1795
+ "step": 25400
1796
+ },
1797
+ {
1798
+ "epoch": 1.98,
1799
+ "grad_norm": 0.9178218245506287,
1800
+ "learning_rate": 6.5415436524673135e-06,
1801
+ "loss": 0.5635,
1802
+ "step": 25500
1803
+ },
1804
+ {
1805
+ "epoch": 1.99,
1806
+ "grad_norm": 1.3144500255584717,
1807
+ "learning_rate": 6.5246731336988626e-06,
1808
+ "loss": 0.5552,
1809
+ "step": 25600
1810
+ },
1811
+ {
1812
+ "epoch": 2.0,
1813
+ "grad_norm": 1.1707431077957153,
1814
+ "learning_rate": 6.50780261493041e-06,
1815
+ "loss": 0.5691,
1816
+ "step": 25700
1817
+ },
1818
+ {
1819
+ "epoch": 2.0,
1820
+ "eval_loss": 0.5625693798065186,
1821
+ "eval_runtime": 238.6823,
1822
+ "eval_samples_per_second": 27.015,
1823
+ "eval_steps_per_second": 27.015,
1824
+ "step": 25711
1825
+ },
1826
+ {
1827
+ "epoch": 2.01,
1828
+ "grad_norm": 0.9804295301437378,
1829
+ "learning_rate": 6.490932096161957e-06,
1830
+ "loss": 0.5096,
1831
+ "step": 25800
1832
+ },
1833
+ {
1834
+ "epoch": 2.01,
1835
+ "grad_norm": 1.2259230613708496,
1836
+ "learning_rate": 6.4740615773935055e-06,
1837
+ "loss": 0.502,
1838
+ "step": 25900
1839
+ },
1840
+ {
1841
+ "epoch": 2.02,
1842
+ "grad_norm": 1.1402134895324707,
1843
+ "learning_rate": 6.457191058625053e-06,
1844
+ "loss": 0.5045,
1845
+ "step": 26000
1846
+ },
1847
+ {
1848
+ "epoch": 2.03,
1849
+ "grad_norm": 1.1775941848754883,
1850
+ "learning_rate": 6.440320539856602e-06,
1851
+ "loss": 0.5069,
1852
+ "step": 26100
1853
+ },
1854
+ {
1855
+ "epoch": 2.04,
1856
+ "grad_norm": 1.0790044069290161,
1857
+ "learning_rate": 6.423450021088149e-06,
1858
+ "loss": 0.4966,
1859
+ "step": 26200
1860
+ },
1861
+ {
1862
+ "epoch": 2.05,
1863
+ "grad_norm": 1.1552369594573975,
1864
+ "learning_rate": 6.406579502319697e-06,
1865
+ "loss": 0.5031,
1866
+ "step": 26300
1867
+ },
1868
+ {
1869
+ "epoch": 2.05,
1870
+ "grad_norm": 1.1360880136489868,
1871
+ "learning_rate": 6.389708983551245e-06,
1872
+ "loss": 0.4948,
1873
+ "step": 26400
1874
+ },
1875
+ {
1876
+ "epoch": 2.06,
1877
+ "grad_norm": 1.1748837232589722,
1878
+ "learning_rate": 6.372838464782792e-06,
1879
+ "loss": 0.5089,
1880
+ "step": 26500
1881
+ },
1882
+ {
1883
+ "epoch": 2.07,
1884
+ "grad_norm": 1.2439712285995483,
1885
+ "learning_rate": 6.3559679460143405e-06,
1886
+ "loss": 0.5025,
1887
+ "step": 26600
1888
+ },
1889
+ {
1890
+ "epoch": 2.08,
1891
+ "grad_norm": 1.229835867881775,
1892
+ "learning_rate": 6.339097427245889e-06,
1893
+ "loss": 0.498,
1894
+ "step": 26700
1895
+ },
1896
+ {
1897
+ "epoch": 2.08,
1898
+ "grad_norm": 1.0424373149871826,
1899
+ "learning_rate": 6.322226908477436e-06,
1900
+ "loss": 0.504,
1901
+ "step": 26800
1902
+ },
1903
+ {
1904
+ "epoch": 2.09,
1905
+ "grad_norm": 1.0707651376724243,
1906
+ "learning_rate": 6.305356389708984e-06,
1907
+ "loss": 0.5014,
1908
+ "step": 26900
1909
+ },
1910
+ {
1911
+ "epoch": 2.1,
1912
+ "grad_norm": 1.3633686304092407,
1913
+ "learning_rate": 6.288485870940532e-06,
1914
+ "loss": 0.4993,
1915
+ "step": 27000
1916
+ },
1917
+ {
1918
+ "epoch": 2.11,
1919
+ "grad_norm": 1.135166883468628,
1920
+ "learning_rate": 6.27161535217208e-06,
1921
+ "loss": 0.5029,
1922
+ "step": 27100
1923
+ },
1924
+ {
1925
+ "epoch": 2.12,
1926
+ "grad_norm": 1.0198315382003784,
1927
+ "learning_rate": 6.254744833403627e-06,
1928
+ "loss": 0.5071,
1929
+ "step": 27200
1930
+ },
1931
+ {
1932
+ "epoch": 2.12,
1933
+ "grad_norm": 1.0351316928863525,
1934
+ "learning_rate": 6.237874314635175e-06,
1935
+ "loss": 0.493,
1936
+ "step": 27300
1937
+ },
1938
+ {
1939
+ "epoch": 2.13,
1940
+ "grad_norm": 1.2323417663574219,
1941
+ "learning_rate": 6.221003795866724e-06,
1942
+ "loss": 0.4972,
1943
+ "step": 27400
1944
+ },
1945
+ {
1946
+ "epoch": 2.14,
1947
+ "grad_norm": 1.0917974710464478,
1948
+ "learning_rate": 6.204133277098271e-06,
1949
+ "loss": 0.515,
1950
+ "step": 27500
1951
+ },
1952
+ {
1953
+ "epoch": 2.15,
1954
+ "grad_norm": 1.0742385387420654,
1955
+ "learning_rate": 6.187262758329819e-06,
1956
+ "loss": 0.5003,
1957
+ "step": 27600
1958
+ },
1959
+ {
1960
+ "epoch": 2.15,
1961
+ "grad_norm": 1.1752365827560425,
1962
+ "learning_rate": 6.170392239561367e-06,
1963
+ "loss": 0.5037,
1964
+ "step": 27700
1965
+ },
1966
+ {
1967
+ "epoch": 2.16,
1968
+ "grad_norm": 1.3029072284698486,
1969
+ "learning_rate": 6.153521720792916e-06,
1970
+ "loss": 0.5058,
1971
+ "step": 27800
1972
+ },
1973
+ {
1974
+ "epoch": 2.17,
1975
+ "grad_norm": 1.1643210649490356,
1976
+ "learning_rate": 6.136651202024463e-06,
1977
+ "loss": 0.4972,
1978
+ "step": 27900
1979
+ },
1980
+ {
1981
+ "epoch": 2.18,
1982
+ "grad_norm": 1.242964267730713,
1983
+ "learning_rate": 6.11978068325601e-06,
1984
+ "loss": 0.4997,
1985
+ "step": 28000
1986
+ },
1987
+ {
1988
+ "epoch": 2.19,
1989
+ "grad_norm": 1.3172551393508911,
1990
+ "learning_rate": 6.102910164487559e-06,
1991
+ "loss": 0.5094,
1992
+ "step": 28100
1993
+ },
1994
+ {
1995
+ "epoch": 2.19,
1996
+ "grad_norm": 1.2467583417892456,
1997
+ "learning_rate": 6.086039645719106e-06,
1998
+ "loss": 0.5076,
1999
+ "step": 28200
2000
+ },
2001
+ {
2002
+ "epoch": 2.2,
2003
+ "grad_norm": 1.3781509399414062,
2004
+ "learning_rate": 6.069169126950655e-06,
2005
+ "loss": 0.4913,
2006
+ "step": 28300
2007
+ },
2008
+ {
2009
+ "epoch": 2.21,
2010
+ "grad_norm": 1.1692475080490112,
2011
+ "learning_rate": 6.052298608182202e-06,
2012
+ "loss": 0.5068,
2013
+ "step": 28400
2014
+ },
2015
+ {
2016
+ "epoch": 2.22,
2017
+ "grad_norm": 1.2849936485290527,
2018
+ "learning_rate": 6.03542808941375e-06,
2019
+ "loss": 0.4904,
2020
+ "step": 28500
2021
+ },
2022
+ {
2023
+ "epoch": 2.22,
2024
+ "grad_norm": 1.156049132347107,
2025
+ "learning_rate": 6.018557570645298e-06,
2026
+ "loss": 0.4945,
2027
+ "step": 28600
2028
+ },
2029
+ {
2030
+ "epoch": 2.23,
2031
+ "grad_norm": 1.1158158779144287,
2032
+ "learning_rate": 6.001687051876845e-06,
2033
+ "loss": 0.5085,
2034
+ "step": 28700
2035
+ },
2036
+ {
2037
+ "epoch": 2.24,
2038
+ "grad_norm": 1.1390436887741089,
2039
+ "learning_rate": 5.984816533108394e-06,
2040
+ "loss": 0.5008,
2041
+ "step": 28800
2042
+ },
2043
+ {
2044
+ "epoch": 2.25,
2045
+ "grad_norm": 1.285714030265808,
2046
+ "learning_rate": 5.967946014339942e-06,
2047
+ "loss": 0.5041,
2048
+ "step": 28900
2049
+ },
2050
+ {
2051
+ "epoch": 2.26,
2052
+ "grad_norm": 1.1822518110275269,
2053
+ "learning_rate": 5.951075495571489e-06,
2054
+ "loss": 0.4991,
2055
+ "step": 29000
2056
+ },
2057
+ {
2058
+ "epoch": 2.26,
2059
+ "grad_norm": 1.0039293766021729,
2060
+ "learning_rate": 5.934204976803037e-06,
2061
+ "loss": 0.5014,
2062
+ "step": 29100
2063
+ },
2064
+ {
2065
+ "epoch": 2.27,
2066
+ "grad_norm": 1.0583579540252686,
2067
+ "learning_rate": 5.917334458034585e-06,
2068
+ "loss": 0.5017,
2069
+ "step": 29200
2070
+ },
2071
+ {
2072
+ "epoch": 2.28,
2073
+ "grad_norm": 1.2026630640029907,
2074
+ "learning_rate": 5.900463939266134e-06,
2075
+ "loss": 0.4909,
2076
+ "step": 29300
2077
+ },
2078
+ {
2079
+ "epoch": 2.29,
2080
+ "grad_norm": 1.3809479475021362,
2081
+ "learning_rate": 5.883593420497681e-06,
2082
+ "loss": 0.5,
2083
+ "step": 29400
2084
+ },
2085
+ {
2086
+ "epoch": 2.29,
2087
+ "grad_norm": 1.2457770109176636,
2088
+ "learning_rate": 5.8667229017292285e-06,
2089
+ "loss": 0.5024,
2090
+ "step": 29500
2091
+ },
2092
+ {
2093
+ "epoch": 2.3,
2094
+ "grad_norm": 1.1686639785766602,
2095
+ "learning_rate": 5.849852382960777e-06,
2096
+ "loss": 0.4969,
2097
+ "step": 29600
2098
+ },
2099
+ {
2100
+ "epoch": 2.31,
2101
+ "grad_norm": 1.1628988981246948,
2102
+ "learning_rate": 5.832981864192324e-06,
2103
+ "loss": 0.5021,
2104
+ "step": 29700
2105
+ },
2106
+ {
2107
+ "epoch": 2.32,
2108
+ "grad_norm": 1.1939592361450195,
2109
+ "learning_rate": 5.816111345423872e-06,
2110
+ "loss": 0.4984,
2111
+ "step": 29800
2112
+ },
2113
+ {
2114
+ "epoch": 2.33,
2115
+ "grad_norm": 1.1496870517730713,
2116
+ "learning_rate": 5.7992408266554205e-06,
2117
+ "loss": 0.5074,
2118
+ "step": 29900
2119
+ },
2120
+ {
2121
+ "epoch": 2.33,
2122
+ "grad_norm": 1.0704864263534546,
2123
+ "learning_rate": 5.782370307886968e-06,
2124
+ "loss": 0.4897,
2125
+ "step": 30000
2126
+ },
2127
+ {
2128
+ "epoch": 2.34,
2129
+ "grad_norm": 1.049353003501892,
2130
+ "learning_rate": 5.765499789118516e-06,
2131
+ "loss": 0.4952,
2132
+ "step": 30100
2133
+ },
2134
+ {
2135
+ "epoch": 2.35,
2136
+ "grad_norm": 1.1420207023620605,
2137
+ "learning_rate": 5.7486292703500635e-06,
2138
+ "loss": 0.4928,
2139
+ "step": 30200
2140
+ },
2141
+ {
2142
+ "epoch": 2.36,
2143
+ "grad_norm": 1.196271538734436,
2144
+ "learning_rate": 5.731758751581612e-06,
2145
+ "loss": 0.4954,
2146
+ "step": 30300
2147
+ },
2148
+ {
2149
+ "epoch": 2.36,
2150
+ "grad_norm": 1.2674270868301392,
2151
+ "learning_rate": 5.714888232813159e-06,
2152
+ "loss": 0.4899,
2153
+ "step": 30400
2154
+ },
2155
+ {
2156
+ "epoch": 2.37,
2157
+ "grad_norm": 1.076567530632019,
2158
+ "learning_rate": 5.698017714044707e-06,
2159
+ "loss": 0.4878,
2160
+ "step": 30500
2161
+ },
2162
+ {
2163
+ "epoch": 2.38,
2164
+ "grad_norm": 1.1435110569000244,
2165
+ "learning_rate": 5.6811471952762555e-06,
2166
+ "loss": 0.4915,
2167
+ "step": 30600
2168
+ },
2169
+ {
2170
+ "epoch": 2.39,
2171
+ "grad_norm": 1.187680959701538,
2172
+ "learning_rate": 5.664276676507803e-06,
2173
+ "loss": 0.498,
2174
+ "step": 30700
2175
+ },
2176
+ {
2177
+ "epoch": 2.4,
2178
+ "grad_norm": 1.0326035022735596,
2179
+ "learning_rate": 5.647406157739351e-06,
2180
+ "loss": 0.4895,
2181
+ "step": 30800
2182
+ },
2183
+ {
2184
+ "epoch": 2.4,
2185
+ "grad_norm": 1.1324219703674316,
2186
+ "learning_rate": 5.630535638970898e-06,
2187
+ "loss": 0.4973,
2188
+ "step": 30900
2189
+ },
2190
+ {
2191
+ "epoch": 2.41,
2192
+ "grad_norm": 1.1349315643310547,
2193
+ "learning_rate": 5.613665120202446e-06,
2194
+ "loss": 0.4999,
2195
+ "step": 31000
2196
+ },
2197
+ {
2198
+ "epoch": 2.42,
2199
+ "grad_norm": 1.0533714294433594,
2200
+ "learning_rate": 5.596794601433995e-06,
2201
+ "loss": 0.4883,
2202
+ "step": 31100
2203
+ },
2204
+ {
2205
+ "epoch": 2.43,
2206
+ "grad_norm": 1.2699588537216187,
2207
+ "learning_rate": 5.579924082665542e-06,
2208
+ "loss": 0.4918,
2209
+ "step": 31200
2210
+ },
2211
+ {
2212
+ "epoch": 2.43,
2213
+ "grad_norm": 1.2485431432724,
2214
+ "learning_rate": 5.56305356389709e-06,
2215
+ "loss": 0.4955,
2216
+ "step": 31300
2217
+ },
2218
+ {
2219
+ "epoch": 2.44,
2220
+ "grad_norm": 1.4232758283615112,
2221
+ "learning_rate": 5.546183045128638e-06,
2222
+ "loss": 0.4865,
2223
+ "step": 31400
2224
+ },
2225
+ {
2226
+ "epoch": 2.45,
2227
+ "grad_norm": 1.0299222469329834,
2228
+ "learning_rate": 5.529312526360187e-06,
2229
+ "loss": 0.4988,
2230
+ "step": 31500
2231
+ },
2232
+ {
2233
+ "epoch": 2.46,
2234
+ "grad_norm": 1.3187662363052368,
2235
+ "learning_rate": 5.512442007591734e-06,
2236
+ "loss": 0.5004,
2237
+ "step": 31600
2238
+ },
2239
+ {
2240
+ "epoch": 2.47,
2241
+ "grad_norm": 1.3091824054718018,
2242
+ "learning_rate": 5.495571488823282e-06,
2243
+ "loss": 0.5027,
2244
+ "step": 31700
2245
+ },
2246
+ {
2247
+ "epoch": 2.47,
2248
+ "grad_norm": 1.0004264116287231,
2249
+ "learning_rate": 5.47870097005483e-06,
2250
+ "loss": 0.5021,
2251
+ "step": 31800
2252
+ },
2253
+ {
2254
+ "epoch": 2.48,
2255
+ "grad_norm": 1.1970808506011963,
2256
+ "learning_rate": 5.461830451286377e-06,
2257
+ "loss": 0.4947,
2258
+ "step": 31900
2259
+ },
2260
+ {
2261
+ "epoch": 2.49,
2262
+ "grad_norm": 1.0422667264938354,
2263
+ "learning_rate": 5.444959932517926e-06,
2264
+ "loss": 0.4853,
2265
+ "step": 32000
2266
+ },
2267
+ {
2268
+ "epoch": 2.5,
2269
+ "grad_norm": 1.0415763854980469,
2270
+ "learning_rate": 5.428089413749474e-06,
2271
+ "loss": 0.4999,
2272
+ "step": 32100
2273
+ },
2274
+ {
2275
+ "epoch": 2.5,
2276
+ "grad_norm": 1.0286779403686523,
2277
+ "learning_rate": 5.411218894981021e-06,
2278
+ "loss": 0.4914,
2279
+ "step": 32200
2280
+ },
2281
+ {
2282
+ "epoch": 2.51,
2283
+ "grad_norm": 1.2340902090072632,
2284
+ "learning_rate": 5.394348376212569e-06,
2285
+ "loss": 0.5021,
2286
+ "step": 32300
2287
+ },
2288
+ {
2289
+ "epoch": 2.52,
2290
+ "grad_norm": 1.0882303714752197,
2291
+ "learning_rate": 5.3774778574441165e-06,
2292
+ "loss": 0.5031,
2293
+ "step": 32400
2294
+ },
2295
+ {
2296
+ "epoch": 2.53,
2297
+ "grad_norm": 1.0787783861160278,
2298
+ "learning_rate": 5.360607338675666e-06,
2299
+ "loss": 0.4958,
2300
+ "step": 32500
2301
+ },
2302
+ {
2303
+ "epoch": 2.54,
2304
+ "grad_norm": 1.0476319789886475,
2305
+ "learning_rate": 5.343736819907213e-06,
2306
+ "loss": 0.4946,
2307
+ "step": 32600
2308
+ },
2309
+ {
2310
+ "epoch": 2.54,
2311
+ "grad_norm": 1.2390849590301514,
2312
+ "learning_rate": 5.32686630113876e-06,
2313
+ "loss": 0.5019,
2314
+ "step": 32700
2315
+ },
2316
+ {
2317
+ "epoch": 2.55,
2318
+ "grad_norm": 1.2755340337753296,
2319
+ "learning_rate": 5.3099957823703085e-06,
2320
+ "loss": 0.4964,
2321
+ "step": 32800
2322
+ },
2323
+ {
2324
+ "epoch": 2.56,
2325
+ "grad_norm": 1.060534954071045,
2326
+ "learning_rate": 5.293125263601856e-06,
2327
+ "loss": 0.4905,
2328
+ "step": 32900
2329
+ },
2330
+ {
2331
+ "epoch": 2.57,
2332
+ "grad_norm": 1.1471514701843262,
2333
+ "learning_rate": 5.276254744833404e-06,
2334
+ "loss": 0.4991,
2335
+ "step": 33000
2336
+ },
2337
+ {
2338
+ "epoch": 2.57,
2339
+ "grad_norm": 1.350637435913086,
2340
+ "learning_rate": 5.2593842260649515e-06,
2341
+ "loss": 0.4872,
2342
+ "step": 33100
2343
+ },
2344
+ {
2345
+ "epoch": 2.58,
2346
+ "grad_norm": 1.0406626462936401,
2347
+ "learning_rate": 5.2425137072965e-06,
2348
+ "loss": 0.4794,
2349
+ "step": 33200
2350
+ },
2351
+ {
2352
+ "epoch": 2.59,
2353
+ "grad_norm": 1.4993454217910767,
2354
+ "learning_rate": 5.225643188528048e-06,
2355
+ "loss": 0.4817,
2356
+ "step": 33300
2357
+ },
2358
+ {
2359
+ "epoch": 2.6,
2360
+ "grad_norm": 1.3099007606506348,
2361
+ "learning_rate": 5.208772669759595e-06,
2362
+ "loss": 0.4965,
2363
+ "step": 33400
2364
+ },
2365
+ {
2366
+ "epoch": 2.61,
2367
+ "grad_norm": 1.256925344467163,
2368
+ "learning_rate": 5.1919021509911435e-06,
2369
+ "loss": 0.4926,
2370
+ "step": 33500
2371
+ },
2372
+ {
2373
+ "epoch": 2.61,
2374
+ "grad_norm": 1.0852125883102417,
2375
+ "learning_rate": 5.175031632222691e-06,
2376
+ "loss": 0.4912,
2377
+ "step": 33600
2378
+ },
2379
+ {
2380
+ "epoch": 2.62,
2381
+ "grad_norm": 1.2201043367385864,
2382
+ "learning_rate": 5.158161113454238e-06,
2383
+ "loss": 0.4885,
2384
+ "step": 33700
2385
+ },
2386
+ {
2387
+ "epoch": 2.63,
2388
+ "grad_norm": 1.1780471801757812,
2389
+ "learning_rate": 5.141290594685787e-06,
2390
+ "loss": 0.4938,
2391
+ "step": 33800
2392
+ },
2393
+ {
2394
+ "epoch": 2.64,
2395
+ "grad_norm": 1.1712925434112549,
2396
+ "learning_rate": 5.124420075917335e-06,
2397
+ "loss": 0.4964,
2398
+ "step": 33900
2399
+ },
2400
+ {
2401
+ "epoch": 2.64,
2402
+ "grad_norm": 1.0011783838272095,
2403
+ "learning_rate": 5.107549557148883e-06,
2404
+ "loss": 0.492,
2405
+ "step": 34000
2406
+ },
2407
+ {
2408
+ "epoch": 2.65,
2409
+ "grad_norm": 1.116950273513794,
2410
+ "learning_rate": 5.09067903838043e-06,
2411
+ "loss": 0.4899,
2412
+ "step": 34100
2413
+ },
2414
+ {
2415
+ "epoch": 2.66,
2416
+ "grad_norm": 1.209444522857666,
2417
+ "learning_rate": 5.073808519611978e-06,
2418
+ "loss": 0.4977,
2419
+ "step": 34200
2420
+ },
2421
+ {
2422
+ "epoch": 2.67,
2423
+ "grad_norm": 1.210232138633728,
2424
+ "learning_rate": 5.056938000843527e-06,
2425
+ "loss": 0.5006,
2426
+ "step": 34300
2427
+ },
2428
+ {
2429
+ "epoch": 2.68,
2430
+ "grad_norm": 1.2212296724319458,
2431
+ "learning_rate": 5.040067482075074e-06,
2432
+ "loss": 0.4899,
2433
+ "step": 34400
2434
+ },
2435
+ {
2436
+ "epoch": 2.68,
2437
+ "grad_norm": 1.0587881803512573,
2438
+ "learning_rate": 5.023196963306622e-06,
2439
+ "loss": 0.4978,
2440
+ "step": 34500
2441
+ },
2442
+ {
2443
+ "epoch": 2.69,
2444
+ "grad_norm": 1.0898345708847046,
2445
+ "learning_rate": 5.00632644453817e-06,
2446
+ "loss": 0.4823,
2447
+ "step": 34600
2448
+ },
2449
+ {
2450
+ "epoch": 2.7,
2451
+ "grad_norm": 1.101915717124939,
2452
+ "learning_rate": 4.989455925769718e-06,
2453
+ "loss": 0.4865,
2454
+ "step": 34700
2455
+ },
2456
+ {
2457
+ "epoch": 2.71,
2458
+ "grad_norm": 1.0491071939468384,
2459
+ "learning_rate": 4.972585407001266e-06,
2460
+ "loss": 0.4902,
2461
+ "step": 34800
2462
+ },
2463
+ {
2464
+ "epoch": 2.71,
2465
+ "grad_norm": 1.1705042123794556,
2466
+ "learning_rate": 4.955714888232813e-06,
2467
+ "loss": 0.4818,
2468
+ "step": 34900
2469
+ },
2470
+ {
2471
+ "epoch": 2.72,
2472
+ "grad_norm": 0.9806114435195923,
2473
+ "learning_rate": 4.938844369464361e-06,
2474
+ "loss": 0.4917,
2475
+ "step": 35000
2476
+ },
2477
+ {
2478
+ "epoch": 2.73,
2479
+ "grad_norm": 1.0800176858901978,
2480
+ "learning_rate": 4.921973850695909e-06,
2481
+ "loss": 0.487,
2482
+ "step": 35100
2483
+ },
2484
+ {
2485
+ "epoch": 2.74,
2486
+ "grad_norm": 1.1579550504684448,
2487
+ "learning_rate": 4.905103331927457e-06,
2488
+ "loss": 0.4953,
2489
+ "step": 35200
2490
+ },
2491
+ {
2492
+ "epoch": 2.75,
2493
+ "grad_norm": 1.4026445150375366,
2494
+ "learning_rate": 4.888232813159005e-06,
2495
+ "loss": 0.4854,
2496
+ "step": 35300
2497
+ },
2498
+ {
2499
+ "epoch": 2.75,
2500
+ "grad_norm": 1.0393800735473633,
2501
+ "learning_rate": 4.871362294390553e-06,
2502
+ "loss": 0.4869,
2503
+ "step": 35400
2504
+ },
2505
+ {
2506
+ "epoch": 2.76,
2507
+ "grad_norm": 0.9717263579368591,
2508
+ "learning_rate": 4.8544917756221e-06,
2509
+ "loss": 0.49,
2510
+ "step": 35500
2511
+ },
2512
+ {
2513
+ "epoch": 2.77,
2514
+ "grad_norm": 1.0537793636322021,
2515
+ "learning_rate": 4.837621256853648e-06,
2516
+ "loss": 0.4837,
2517
+ "step": 35600
2518
+ },
2519
+ {
2520
+ "epoch": 2.78,
2521
+ "grad_norm": 1.1512401103973389,
2522
+ "learning_rate": 4.820750738085197e-06,
2523
+ "loss": 0.4922,
2524
+ "step": 35700
2525
+ },
2526
+ {
2527
+ "epoch": 2.78,
2528
+ "grad_norm": 1.2357419729232788,
2529
+ "learning_rate": 4.803880219316745e-06,
2530
+ "loss": 0.4788,
2531
+ "step": 35800
2532
+ },
2533
+ {
2534
+ "epoch": 2.79,
2535
+ "grad_norm": 1.27003014087677,
2536
+ "learning_rate": 4.787009700548292e-06,
2537
+ "loss": 0.4984,
2538
+ "step": 35900
2539
+ },
2540
+ {
2541
+ "epoch": 2.8,
2542
+ "grad_norm": 1.1796925067901611,
2543
+ "learning_rate": 4.77013918177984e-06,
2544
+ "loss": 0.4865,
2545
+ "step": 36000
2546
+ },
2547
+ {
2548
+ "epoch": 2.81,
2549
+ "grad_norm": 1.284103274345398,
2550
+ "learning_rate": 4.753268663011388e-06,
2551
+ "loss": 0.4865,
2552
+ "step": 36100
2553
+ },
2554
+ {
2555
+ "epoch": 2.82,
2556
+ "grad_norm": 1.2095571756362915,
2557
+ "learning_rate": 4.736398144242936e-06,
2558
+ "loss": 0.4972,
2559
+ "step": 36200
2560
+ },
2561
+ {
2562
+ "epoch": 2.82,
2563
+ "grad_norm": 1.256468415260315,
2564
+ "learning_rate": 4.719527625474483e-06,
2565
+ "loss": 0.4912,
2566
+ "step": 36300
2567
+ },
2568
+ {
2569
+ "epoch": 2.83,
2570
+ "grad_norm": 1.1643502712249756,
2571
+ "learning_rate": 4.7026571067060315e-06,
2572
+ "loss": 0.4873,
2573
+ "step": 36400
2574
+ },
2575
+ {
2576
+ "epoch": 2.84,
2577
+ "grad_norm": 1.1925140619277954,
2578
+ "learning_rate": 4.68578658793758e-06,
2579
+ "loss": 0.4985,
2580
+ "step": 36500
2581
+ },
2582
+ {
2583
+ "epoch": 2.85,
2584
+ "grad_norm": 1.3707034587860107,
2585
+ "learning_rate": 4.668916069169127e-06,
2586
+ "loss": 0.4847,
2587
+ "step": 36600
2588
+ },
2589
+ {
2590
+ "epoch": 2.85,
2591
+ "grad_norm": 1.2967514991760254,
2592
+ "learning_rate": 4.652045550400675e-06,
2593
+ "loss": 0.492,
2594
+ "step": 36700
2595
+ },
2596
+ {
2597
+ "epoch": 2.86,
2598
+ "grad_norm": 1.3054057359695435,
2599
+ "learning_rate": 4.635175031632223e-06,
2600
+ "loss": 0.4884,
2601
+ "step": 36800
2602
+ },
2603
+ {
2604
+ "epoch": 2.87,
2605
+ "grad_norm": 1.2648892402648926,
2606
+ "learning_rate": 4.618304512863771e-06,
2607
+ "loss": 0.4999,
2608
+ "step": 36900
2609
+ },
2610
+ {
2611
+ "epoch": 2.88,
2612
+ "grad_norm": 1.1818757057189941,
2613
+ "learning_rate": 4.601433994095319e-06,
2614
+ "loss": 0.4901,
2615
+ "step": 37000
2616
+ },
2617
+ {
2618
+ "epoch": 2.89,
2619
+ "grad_norm": 1.2684180736541748,
2620
+ "learning_rate": 4.5845634753268665e-06,
2621
+ "loss": 0.4854,
2622
+ "step": 37100
2623
+ },
2624
+ {
2625
+ "epoch": 2.89,
2626
+ "grad_norm": 1.2977045774459839,
2627
+ "learning_rate": 4.567692956558415e-06,
2628
+ "loss": 0.4925,
2629
+ "step": 37200
2630
+ },
2631
+ {
2632
+ "epoch": 2.9,
2633
+ "grad_norm": 1.263070821762085,
2634
+ "learning_rate": 4.550822437789962e-06,
2635
+ "loss": 0.4856,
2636
+ "step": 37300
2637
+ },
2638
+ {
2639
+ "epoch": 2.91,
2640
+ "grad_norm": 1.204965591430664,
2641
+ "learning_rate": 4.53395191902151e-06,
2642
+ "loss": 0.4954,
2643
+ "step": 37400
2644
+ },
2645
+ {
2646
+ "epoch": 2.92,
2647
+ "grad_norm": 1.445685625076294,
2648
+ "learning_rate": 4.5170814002530585e-06,
2649
+ "loss": 0.4922,
2650
+ "step": 37500
2651
+ },
2652
+ {
2653
+ "epoch": 2.92,
2654
+ "grad_norm": 1.2058970928192139,
2655
+ "learning_rate": 4.500210881484606e-06,
2656
+ "loss": 0.4963,
2657
+ "step": 37600
2658
+ },
2659
+ {
2660
+ "epoch": 2.93,
2661
+ "grad_norm": 1.1493515968322754,
2662
+ "learning_rate": 4.483340362716154e-06,
2663
+ "loss": 0.4833,
2664
+ "step": 37700
2665
+ },
2666
+ {
2667
+ "epoch": 2.94,
2668
+ "grad_norm": 1.1071513891220093,
2669
+ "learning_rate": 4.4664698439477014e-06,
2670
+ "loss": 0.4802,
2671
+ "step": 37800
2672
+ },
2673
+ {
2674
+ "epoch": 2.95,
2675
+ "grad_norm": 1.1301243305206299,
2676
+ "learning_rate": 4.44959932517925e-06,
2677
+ "loss": 0.4854,
2678
+ "step": 37900
2679
+ },
2680
+ {
2681
+ "epoch": 2.96,
2682
+ "grad_norm": 1.1066009998321533,
2683
+ "learning_rate": 4.432728806410798e-06,
2684
+ "loss": 0.4801,
2685
+ "step": 38000
2686
+ },
2687
+ {
2688
+ "epoch": 2.96,
2689
+ "grad_norm": 1.0919671058654785,
2690
+ "learning_rate": 4.415858287642345e-06,
2691
+ "loss": 0.4875,
2692
+ "step": 38100
2693
+ },
2694
+ {
2695
+ "epoch": 2.97,
2696
+ "grad_norm": 1.0837271213531494,
2697
+ "learning_rate": 4.398987768873893e-06,
2698
+ "loss": 0.4859,
2699
+ "step": 38200
2700
+ },
2701
+ {
2702
+ "epoch": 2.98,
2703
+ "grad_norm": 1.156788945198059,
2704
+ "learning_rate": 4.382117250105441e-06,
2705
+ "loss": 0.4875,
2706
+ "step": 38300
2707
+ },
2708
+ {
2709
+ "epoch": 2.99,
2710
+ "grad_norm": 1.0719399452209473,
2711
+ "learning_rate": 4.365246731336989e-06,
2712
+ "loss": 0.485,
2713
+ "step": 38400
2714
+ },
2715
+ {
2716
+ "epoch": 2.99,
2717
+ "grad_norm": 1.0001031160354614,
2718
+ "learning_rate": 4.348376212568537e-06,
2719
+ "loss": 0.484,
2720
+ "step": 38500
2721
+ },
2722
+ {
2723
+ "epoch": 3.0,
2724
+ "eval_loss": 0.5327300429344177,
2725
+ "eval_runtime": 238.1908,
2726
+ "eval_samples_per_second": 27.071,
2727
+ "eval_steps_per_second": 27.071,
2728
+ "step": 38566
2729
+ },
2730
+ {
2731
+ "epoch": 3.0,
2732
+ "grad_norm": 1.18661367893219,
2733
+ "learning_rate": 4.331505693800085e-06,
2734
+ "loss": 0.4712,
2735
+ "step": 38600
2736
+ },
2737
+ {
2738
+ "epoch": 3.01,
2739
+ "grad_norm": 1.1101746559143066,
2740
+ "learning_rate": 4.314635175031632e-06,
2741
+ "loss": 0.4248,
2742
+ "step": 38700
2743
+ },
2744
+ {
2745
+ "epoch": 3.02,
2746
+ "grad_norm": 1.123779296875,
2747
+ "learning_rate": 4.29776465626318e-06,
2748
+ "loss": 0.4205,
2749
+ "step": 38800
2750
+ },
2751
+ {
2752
+ "epoch": 3.03,
2753
+ "grad_norm": 1.0496944189071655,
2754
+ "learning_rate": 4.280894137494728e-06,
2755
+ "loss": 0.4265,
2756
+ "step": 38900
2757
+ },
2758
+ {
2759
+ "epoch": 3.03,
2760
+ "grad_norm": 1.2305235862731934,
2761
+ "learning_rate": 4.264023618726277e-06,
2762
+ "loss": 0.427,
2763
+ "step": 39000
2764
+ },
2765
+ {
2766
+ "epoch": 3.04,
2767
+ "grad_norm": 1.2351257801055908,
2768
+ "learning_rate": 4.247153099957824e-06,
2769
+ "loss": 0.416,
2770
+ "step": 39100
2771
+ },
2772
+ {
2773
+ "epoch": 3.05,
2774
+ "grad_norm": 1.4697481393814087,
2775
+ "learning_rate": 4.230282581189372e-06,
2776
+ "loss": 0.4305,
2777
+ "step": 39200
2778
+ },
2779
+ {
2780
+ "epoch": 3.06,
2781
+ "grad_norm": 1.2224518060684204,
2782
+ "learning_rate": 4.2134120624209196e-06,
2783
+ "loss": 0.4332,
2784
+ "step": 39300
2785
+ },
2786
+ {
2787
+ "epoch": 3.06,
2788
+ "grad_norm": 1.1773486137390137,
2789
+ "learning_rate": 4.196541543652468e-06,
2790
+ "loss": 0.4253,
2791
+ "step": 39400
2792
+ },
2793
+ {
2794
+ "epoch": 3.07,
2795
+ "grad_norm": 1.1467719078063965,
2796
+ "learning_rate": 4.179671024884015e-06,
2797
+ "loss": 0.4229,
2798
+ "step": 39500
2799
+ },
2800
+ {
2801
+ "epoch": 3.08,
2802
+ "grad_norm": 1.3091965913772583,
2803
+ "learning_rate": 4.162800506115563e-06,
2804
+ "loss": 0.4227,
2805
+ "step": 39600
2806
+ },
2807
+ {
2808
+ "epoch": 3.09,
2809
+ "grad_norm": 1.208458423614502,
2810
+ "learning_rate": 4.145929987347112e-06,
2811
+ "loss": 0.4265,
2812
+ "step": 39700
2813
+ },
2814
+ {
2815
+ "epoch": 3.1,
2816
+ "grad_norm": 1.4349595308303833,
2817
+ "learning_rate": 4.129059468578659e-06,
2818
+ "loss": 0.4263,
2819
+ "step": 39800
2820
+ },
2821
+ {
2822
+ "epoch": 3.1,
2823
+ "grad_norm": 1.4481394290924072,
2824
+ "learning_rate": 4.112188949810207e-06,
2825
+ "loss": 0.4316,
2826
+ "step": 39900
2827
+ },
2828
+ {
2829
+ "epoch": 3.11,
2830
+ "grad_norm": 1.0939385890960693,
2831
+ "learning_rate": 4.0953184310417545e-06,
2832
+ "loss": 0.4304,
2833
+ "step": 40000
2834
+ },
2835
+ {
2836
+ "epoch": 3.12,
2837
+ "grad_norm": 1.3906654119491577,
2838
+ "learning_rate": 4.078447912273303e-06,
2839
+ "loss": 0.4235,
2840
+ "step": 40100
2841
+ },
2842
+ {
2843
+ "epoch": 3.13,
2844
+ "grad_norm": 1.0942233800888062,
2845
+ "learning_rate": 4.061577393504851e-06,
2846
+ "loss": 0.4201,
2847
+ "step": 40200
2848
+ },
2849
+ {
2850
+ "epoch": 3.13,
2851
+ "grad_norm": 1.2476675510406494,
2852
+ "learning_rate": 4.044706874736398e-06,
2853
+ "loss": 0.4362,
2854
+ "step": 40300
2855
+ },
2856
+ {
2857
+ "epoch": 3.14,
2858
+ "grad_norm": 1.206559658050537,
2859
+ "learning_rate": 4.0278363559679465e-06,
2860
+ "loss": 0.4238,
2861
+ "step": 40400
2862
+ },
2863
+ {
2864
+ "epoch": 3.15,
2865
+ "grad_norm": 1.1425930261611938,
2866
+ "learning_rate": 4.010965837199494e-06,
2867
+ "loss": 0.4232,
2868
+ "step": 40500
2869
+ },
2870
+ {
2871
+ "epoch": 3.16,
2872
+ "grad_norm": 1.048159122467041,
2873
+ "learning_rate": 3.994095318431042e-06,
2874
+ "loss": 0.4259,
2875
+ "step": 40600
2876
+ },
2877
+ {
2878
+ "epoch": 3.17,
2879
+ "grad_norm": 1.2630932331085205,
2880
+ "learning_rate": 3.97722479966259e-06,
2881
+ "loss": 0.428,
2882
+ "step": 40700
2883
+ },
2884
+ {
2885
+ "epoch": 3.17,
2886
+ "grad_norm": 1.336988091468811,
2887
+ "learning_rate": 3.960354280894138e-06,
2888
+ "loss": 0.4276,
2889
+ "step": 40800
2890
+ },
2891
+ {
2892
+ "epoch": 3.18,
2893
+ "grad_norm": 1.2166807651519775,
2894
+ "learning_rate": 3.943483762125686e-06,
2895
+ "loss": 0.4247,
2896
+ "step": 40900
2897
+ },
2898
+ {
2899
+ "epoch": 3.19,
2900
+ "grad_norm": 1.1539608240127563,
2901
+ "learning_rate": 3.926613243357233e-06,
2902
+ "loss": 0.4279,
2903
+ "step": 41000
2904
+ },
2905
+ {
2906
+ "epoch": 3.2,
2907
+ "grad_norm": 1.1006641387939453,
2908
+ "learning_rate": 3.9097427245887815e-06,
2909
+ "loss": 0.4166,
2910
+ "step": 41100
2911
+ },
2912
+ {
2913
+ "epoch": 3.2,
2914
+ "grad_norm": 1.218772292137146,
2915
+ "learning_rate": 3.89287220582033e-06,
2916
+ "loss": 0.4283,
2917
+ "step": 41200
2918
+ },
2919
+ {
2920
+ "epoch": 3.21,
2921
+ "grad_norm": 1.3342804908752441,
2922
+ "learning_rate": 3.876001687051877e-06,
2923
+ "loss": 0.4299,
2924
+ "step": 41300
2925
+ },
2926
+ {
2927
+ "epoch": 3.22,
2928
+ "grad_norm": 1.1451455354690552,
2929
+ "learning_rate": 3.8591311682834244e-06,
2930
+ "loss": 0.4211,
2931
+ "step": 41400
2932
+ },
2933
+ {
2934
+ "epoch": 3.23,
2935
+ "grad_norm": 1.171906590461731,
2936
+ "learning_rate": 3.842260649514973e-06,
2937
+ "loss": 0.4244,
2938
+ "step": 41500
2939
+ },
2940
+ {
2941
+ "epoch": 3.24,
2942
+ "grad_norm": 1.0812770128250122,
2943
+ "learning_rate": 3.825390130746521e-06,
2944
+ "loss": 0.4269,
2945
+ "step": 41600
2946
+ },
2947
+ {
2948
+ "epoch": 3.24,
2949
+ "grad_norm": 1.1748661994934082,
2950
+ "learning_rate": 3.8085196119780687e-06,
2951
+ "loss": 0.4225,
2952
+ "step": 41700
2953
+ },
2954
+ {
2955
+ "epoch": 3.25,
2956
+ "grad_norm": 1.3125067949295044,
2957
+ "learning_rate": 3.791649093209617e-06,
2958
+ "loss": 0.4204,
2959
+ "step": 41800
2960
+ },
2961
+ {
2962
+ "epoch": 3.26,
2963
+ "grad_norm": 1.4073984622955322,
2964
+ "learning_rate": 3.7747785744411642e-06,
2965
+ "loss": 0.4172,
2966
+ "step": 41900
2967
+ },
2968
+ {
2969
+ "epoch": 3.27,
2970
+ "grad_norm": 1.184374451637268,
2971
+ "learning_rate": 3.757908055672712e-06,
2972
+ "loss": 0.4228,
2973
+ "step": 42000
2974
+ },
2975
+ {
2976
+ "epoch": 3.27,
2977
+ "grad_norm": 1.4073774814605713,
2978
+ "learning_rate": 3.7410375369042602e-06,
2979
+ "loss": 0.4257,
2980
+ "step": 42100
2981
+ },
2982
+ {
2983
+ "epoch": 3.28,
2984
+ "grad_norm": 1.1929515600204468,
2985
+ "learning_rate": 3.724167018135808e-06,
2986
+ "loss": 0.4272,
2987
+ "step": 42200
2988
+ },
2989
+ {
2990
+ "epoch": 3.29,
2991
+ "grad_norm": 1.3336668014526367,
2992
+ "learning_rate": 3.707296499367356e-06,
2993
+ "loss": 0.4177,
2994
+ "step": 42300
2995
+ },
2996
+ {
2997
+ "epoch": 3.3,
2998
+ "grad_norm": 1.2955700159072876,
2999
+ "learning_rate": 3.6904259805989036e-06,
3000
+ "loss": 0.4267,
3001
+ "step": 42400
3002
+ },
3003
+ {
3004
+ "epoch": 3.31,
3005
+ "grad_norm": 1.4237792491912842,
3006
+ "learning_rate": 3.6735554618304514e-06,
3007
+ "loss": 0.4338,
3008
+ "step": 42500
3009
+ },
3010
+ {
3011
+ "epoch": 3.31,
3012
+ "grad_norm": 1.1870936155319214,
3013
+ "learning_rate": 3.656684943061999e-06,
3014
+ "loss": 0.4301,
3015
+ "step": 42600
3016
+ },
3017
+ {
3018
+ "epoch": 3.32,
3019
+ "grad_norm": 1.4807709455490112,
3020
+ "learning_rate": 3.6398144242935474e-06,
3021
+ "loss": 0.4217,
3022
+ "step": 42700
3023
+ },
3024
+ {
3025
+ "epoch": 3.33,
3026
+ "grad_norm": 1.181097388267517,
3027
+ "learning_rate": 3.622943905525095e-06,
3028
+ "loss": 0.4307,
3029
+ "step": 42800
3030
+ },
3031
+ {
3032
+ "epoch": 3.34,
3033
+ "grad_norm": 1.41066312789917,
3034
+ "learning_rate": 3.6060733867566434e-06,
3035
+ "loss": 0.4294,
3036
+ "step": 42900
3037
+ },
3038
+ {
3039
+ "epoch": 3.34,
3040
+ "grad_norm": 1.1162735223770142,
3041
+ "learning_rate": 3.5892028679881908e-06,
3042
+ "loss": 0.429,
3043
+ "step": 43000
3044
+ },
3045
+ {
3046
+ "epoch": 3.35,
3047
+ "grad_norm": 1.1872411966323853,
3048
+ "learning_rate": 3.5723323492197386e-06,
3049
+ "loss": 0.4248,
3050
+ "step": 43100
3051
+ },
3052
+ {
3053
+ "epoch": 3.36,
3054
+ "grad_norm": 1.2379745244979858,
3055
+ "learning_rate": 3.5554618304512868e-06,
3056
+ "loss": 0.4173,
3057
+ "step": 43200
3058
+ },
3059
+ {
3060
+ "epoch": 3.37,
3061
+ "grad_norm": 1.1592068672180176,
3062
+ "learning_rate": 3.5385913116828346e-06,
3063
+ "loss": 0.4225,
3064
+ "step": 43300
3065
+ },
3066
+ {
3067
+ "epoch": 3.38,
3068
+ "grad_norm": 1.1917668581008911,
3069
+ "learning_rate": 3.5217207929143828e-06,
3070
+ "loss": 0.4257,
3071
+ "step": 43400
3072
+ },
3073
+ {
3074
+ "epoch": 3.38,
3075
+ "grad_norm": 1.2930108308792114,
3076
+ "learning_rate": 3.50485027414593e-06,
3077
+ "loss": 0.4229,
3078
+ "step": 43500
3079
+ },
3080
+ {
3081
+ "epoch": 3.39,
3082
+ "grad_norm": 1.3443032503128052,
3083
+ "learning_rate": 3.487979755377478e-06,
3084
+ "loss": 0.4215,
3085
+ "step": 43600
3086
+ },
3087
+ {
3088
+ "epoch": 3.4,
3089
+ "grad_norm": 1.313826084136963,
3090
+ "learning_rate": 3.471109236609026e-06,
3091
+ "loss": 0.4241,
3092
+ "step": 43700
3093
+ },
3094
+ {
3095
+ "epoch": 3.41,
3096
+ "grad_norm": 1.2277220487594604,
3097
+ "learning_rate": 3.454238717840574e-06,
3098
+ "loss": 0.4213,
3099
+ "step": 43800
3100
+ },
3101
+ {
3102
+ "epoch": 3.41,
3103
+ "grad_norm": 1.154130220413208,
3104
+ "learning_rate": 3.4373681990721217e-06,
3105
+ "loss": 0.4247,
3106
+ "step": 43900
3107
+ },
3108
+ {
3109
+ "epoch": 3.42,
3110
+ "grad_norm": 1.444671630859375,
3111
+ "learning_rate": 3.4204976803036695e-06,
3112
+ "loss": 0.4259,
3113
+ "step": 44000
3114
+ },
3115
+ {
3116
+ "epoch": 3.43,
3117
+ "grad_norm": 1.3900195360183716,
3118
+ "learning_rate": 3.4036271615352173e-06,
3119
+ "loss": 0.416,
3120
+ "step": 44100
3121
+ },
3122
+ {
3123
+ "epoch": 3.44,
3124
+ "grad_norm": 1.1950856447219849,
3125
+ "learning_rate": 3.386756642766765e-06,
3126
+ "loss": 0.4281,
3127
+ "step": 44200
3128
+ },
3129
+ {
3130
+ "epoch": 3.45,
3131
+ "grad_norm": 1.34796142578125,
3132
+ "learning_rate": 3.3698861239983133e-06,
3133
+ "loss": 0.4288,
3134
+ "step": 44300
3135
+ },
3136
+ {
3137
+ "epoch": 3.45,
3138
+ "grad_norm": 1.180707573890686,
3139
+ "learning_rate": 3.353015605229861e-06,
3140
+ "loss": 0.4199,
3141
+ "step": 44400
3142
+ },
3143
+ {
3144
+ "epoch": 3.46,
3145
+ "grad_norm": 1.4567344188690186,
3146
+ "learning_rate": 3.3361450864614093e-06,
3147
+ "loss": 0.4267,
3148
+ "step": 44500
3149
+ },
3150
+ {
3151
+ "epoch": 3.47,
3152
+ "grad_norm": 1.1246074438095093,
3153
+ "learning_rate": 3.3192745676929567e-06,
3154
+ "loss": 0.4231,
3155
+ "step": 44600
3156
+ },
3157
+ {
3158
+ "epoch": 3.48,
3159
+ "grad_norm": 1.1688181161880493,
3160
+ "learning_rate": 3.3024040489245045e-06,
3161
+ "loss": 0.4304,
3162
+ "step": 44700
3163
+ },
3164
+ {
3165
+ "epoch": 3.48,
3166
+ "grad_norm": 1.411210536956787,
3167
+ "learning_rate": 3.2855335301560527e-06,
3168
+ "loss": 0.4233,
3169
+ "step": 44800
3170
+ },
3171
+ {
3172
+ "epoch": 3.49,
3173
+ "grad_norm": 1.2641918659210205,
3174
+ "learning_rate": 3.2686630113876005e-06,
3175
+ "loss": 0.4189,
3176
+ "step": 44900
3177
+ },
3178
+ {
3179
+ "epoch": 3.5,
3180
+ "grad_norm": 1.5290361642837524,
3181
+ "learning_rate": 3.2517924926191487e-06,
3182
+ "loss": 0.4248,
3183
+ "step": 45000
3184
+ },
3185
+ {
3186
+ "epoch": 3.51,
3187
+ "grad_norm": 1.1927236318588257,
3188
+ "learning_rate": 3.234921973850696e-06,
3189
+ "loss": 0.4187,
3190
+ "step": 45100
3191
+ },
3192
+ {
3193
+ "epoch": 3.52,
3194
+ "grad_norm": 1.2530293464660645,
3195
+ "learning_rate": 3.218051455082244e-06,
3196
+ "loss": 0.4278,
3197
+ "step": 45200
3198
+ },
3199
+ {
3200
+ "epoch": 3.52,
3201
+ "grad_norm": 1.3620356321334839,
3202
+ "learning_rate": 3.201180936313792e-06,
3203
+ "loss": 0.4212,
3204
+ "step": 45300
3205
+ },
3206
+ {
3207
+ "epoch": 3.53,
3208
+ "grad_norm": 1.2663601636886597,
3209
+ "learning_rate": 3.18431041754534e-06,
3210
+ "loss": 0.4219,
3211
+ "step": 45400
3212
+ },
3213
+ {
3214
+ "epoch": 3.54,
3215
+ "grad_norm": 1.377575159072876,
3216
+ "learning_rate": 3.1674398987768877e-06,
3217
+ "loss": 0.423,
3218
+ "step": 45500
3219
+ },
3220
+ {
3221
+ "epoch": 3.55,
3222
+ "grad_norm": 1.579256296157837,
3223
+ "learning_rate": 3.1505693800084354e-06,
3224
+ "loss": 0.4266,
3225
+ "step": 45600
3226
+ },
3227
+ {
3228
+ "epoch": 3.55,
3229
+ "grad_norm": 1.2571321725845337,
3230
+ "learning_rate": 3.1336988612399832e-06,
3231
+ "loss": 0.4277,
3232
+ "step": 45700
3233
+ },
3234
+ {
3235
+ "epoch": 3.56,
3236
+ "grad_norm": 1.2397903203964233,
3237
+ "learning_rate": 3.116828342471531e-06,
3238
+ "loss": 0.4255,
3239
+ "step": 45800
3240
+ },
3241
+ {
3242
+ "epoch": 3.57,
3243
+ "grad_norm": 1.5481135845184326,
3244
+ "learning_rate": 3.0999578237030792e-06,
3245
+ "loss": 0.4236,
3246
+ "step": 45900
3247
+ },
3248
+ {
3249
+ "epoch": 3.58,
3250
+ "grad_norm": 1.1892071962356567,
3251
+ "learning_rate": 3.083087304934627e-06,
3252
+ "loss": 0.4256,
3253
+ "step": 46000
3254
+ },
3255
+ {
3256
+ "epoch": 3.59,
3257
+ "grad_norm": 1.4242011308670044,
3258
+ "learning_rate": 3.0662167861661752e-06,
3259
+ "loss": 0.4238,
3260
+ "step": 46100
3261
+ },
3262
+ {
3263
+ "epoch": 3.59,
3264
+ "grad_norm": 1.2539838552474976,
3265
+ "learning_rate": 3.0493462673977226e-06,
3266
+ "loss": 0.4344,
3267
+ "step": 46200
3268
+ },
3269
+ {
3270
+ "epoch": 3.6,
3271
+ "grad_norm": 1.354716181755066,
3272
+ "learning_rate": 3.0324757486292704e-06,
3273
+ "loss": 0.4226,
3274
+ "step": 46300
3275
+ },
3276
+ {
3277
+ "epoch": 3.61,
3278
+ "grad_norm": 1.1949005126953125,
3279
+ "learning_rate": 3.0156052298608186e-06,
3280
+ "loss": 0.4229,
3281
+ "step": 46400
3282
+ },
3283
+ {
3284
+ "epoch": 3.62,
3285
+ "grad_norm": 1.1654438972473145,
3286
+ "learning_rate": 2.9987347110923664e-06,
3287
+ "loss": 0.4188,
3288
+ "step": 46500
3289
+ },
3290
+ {
3291
+ "epoch": 3.62,
3292
+ "grad_norm": 1.3851518630981445,
3293
+ "learning_rate": 2.9818641923239146e-06,
3294
+ "loss": 0.4164,
3295
+ "step": 46600
3296
+ },
3297
+ {
3298
+ "epoch": 3.63,
3299
+ "grad_norm": 1.6049551963806152,
3300
+ "learning_rate": 2.964993673555462e-06,
3301
+ "loss": 0.4248,
3302
+ "step": 46700
3303
+ },
3304
+ {
3305
+ "epoch": 3.64,
3306
+ "grad_norm": 1.437743067741394,
3307
+ "learning_rate": 2.9481231547870098e-06,
3308
+ "loss": 0.4189,
3309
+ "step": 46800
3310
+ },
3311
+ {
3312
+ "epoch": 3.65,
3313
+ "grad_norm": 1.1186052560806274,
3314
+ "learning_rate": 2.931252636018558e-06,
3315
+ "loss": 0.4135,
3316
+ "step": 46900
3317
+ },
3318
+ {
3319
+ "epoch": 3.66,
3320
+ "grad_norm": 1.1863722801208496,
3321
+ "learning_rate": 2.9143821172501058e-06,
3322
+ "loss": 0.428,
3323
+ "step": 47000
3324
+ },
3325
+ {
3326
+ "epoch": 3.66,
3327
+ "grad_norm": 1.1537821292877197,
3328
+ "learning_rate": 2.8975115984816536e-06,
3329
+ "loss": 0.4305,
3330
+ "step": 47100
3331
+ },
3332
+ {
3333
+ "epoch": 3.67,
3334
+ "grad_norm": 1.332077980041504,
3335
+ "learning_rate": 2.8806410797132014e-06,
3336
+ "loss": 0.4222,
3337
+ "step": 47200
3338
+ },
3339
+ {
3340
+ "epoch": 3.68,
3341
+ "grad_norm": 1.0979773998260498,
3342
+ "learning_rate": 2.863770560944749e-06,
3343
+ "loss": 0.4182,
3344
+ "step": 47300
3345
+ },
3346
+ {
3347
+ "epoch": 3.69,
3348
+ "grad_norm": 1.34776771068573,
3349
+ "learning_rate": 2.846900042176297e-06,
3350
+ "loss": 0.4182,
3351
+ "step": 47400
3352
+ },
3353
+ {
3354
+ "epoch": 3.69,
3355
+ "grad_norm": 1.5361868143081665,
3356
+ "learning_rate": 2.830029523407845e-06,
3357
+ "loss": 0.4177,
3358
+ "step": 47500
3359
+ },
3360
+ {
3361
+ "epoch": 3.7,
3362
+ "grad_norm": 1.4123471975326538,
3363
+ "learning_rate": 2.813159004639393e-06,
3364
+ "loss": 0.417,
3365
+ "step": 47600
3366
+ },
3367
+ {
3368
+ "epoch": 3.71,
3369
+ "grad_norm": 1.23320472240448,
3370
+ "learning_rate": 2.7962884858709403e-06,
3371
+ "loss": 0.4217,
3372
+ "step": 47700
3373
+ },
3374
+ {
3375
+ "epoch": 3.72,
3376
+ "grad_norm": 1.4047470092773438,
3377
+ "learning_rate": 2.7794179671024885e-06,
3378
+ "loss": 0.4194,
3379
+ "step": 47800
3380
+ },
3381
+ {
3382
+ "epoch": 3.73,
3383
+ "grad_norm": 1.2386730909347534,
3384
+ "learning_rate": 2.7625474483340363e-06,
3385
+ "loss": 0.4248,
3386
+ "step": 47900
3387
+ },
3388
+ {
3389
+ "epoch": 3.73,
3390
+ "grad_norm": 1.4956306219100952,
3391
+ "learning_rate": 2.7456769295655845e-06,
3392
+ "loss": 0.4129,
3393
+ "step": 48000
3394
+ },
3395
+ {
3396
+ "epoch": 3.74,
3397
+ "grad_norm": 1.058263897895813,
3398
+ "learning_rate": 2.7288064107971323e-06,
3399
+ "loss": 0.4158,
3400
+ "step": 48100
3401
+ },
3402
+ {
3403
+ "epoch": 3.75,
3404
+ "grad_norm": 1.4023634195327759,
3405
+ "learning_rate": 2.7119358920286805e-06,
3406
+ "loss": 0.422,
3407
+ "step": 48200
3408
+ },
3409
+ {
3410
+ "epoch": 3.76,
3411
+ "grad_norm": 1.2374383211135864,
3412
+ "learning_rate": 2.695065373260228e-06,
3413
+ "loss": 0.4285,
3414
+ "step": 48300
3415
+ },
3416
+ {
3417
+ "epoch": 3.76,
3418
+ "grad_norm": 1.3916772603988647,
3419
+ "learning_rate": 2.6781948544917757e-06,
3420
+ "loss": 0.4254,
3421
+ "step": 48400
3422
+ },
3423
+ {
3424
+ "epoch": 3.77,
3425
+ "grad_norm": 1.2032909393310547,
3426
+ "learning_rate": 2.661324335723324e-06,
3427
+ "loss": 0.4283,
3428
+ "step": 48500
3429
+ },
3430
+ {
3431
+ "epoch": 3.78,
3432
+ "grad_norm": 1.2075848579406738,
3433
+ "learning_rate": 2.6444538169548717e-06,
3434
+ "loss": 0.4193,
3435
+ "step": 48600
3436
+ },
3437
+ {
3438
+ "epoch": 3.79,
3439
+ "grad_norm": 1.1569247245788574,
3440
+ "learning_rate": 2.6275832981864195e-06,
3441
+ "loss": 0.4261,
3442
+ "step": 48700
3443
+ },
3444
+ {
3445
+ "epoch": 3.8,
3446
+ "grad_norm": 1.4597578048706055,
3447
+ "learning_rate": 2.6107127794179673e-06,
3448
+ "loss": 0.4283,
3449
+ "step": 48800
3450
+ },
3451
+ {
3452
+ "epoch": 3.8,
3453
+ "grad_norm": 1.3192527294158936,
3454
+ "learning_rate": 2.593842260649515e-06,
3455
+ "loss": 0.4228,
3456
+ "step": 48900
3457
+ },
3458
+ {
3459
+ "epoch": 3.81,
3460
+ "grad_norm": 1.1565971374511719,
3461
+ "learning_rate": 2.576971741881063e-06,
3462
+ "loss": 0.4276,
3463
+ "step": 49000
3464
+ },
3465
+ {
3466
+ "epoch": 3.82,
3467
+ "grad_norm": 1.205554485321045,
3468
+ "learning_rate": 2.560101223112611e-06,
3469
+ "loss": 0.4197,
3470
+ "step": 49100
3471
+ },
3472
+ {
3473
+ "epoch": 3.83,
3474
+ "grad_norm": 1.1162891387939453,
3475
+ "learning_rate": 2.543230704344159e-06,
3476
+ "loss": 0.418,
3477
+ "step": 49200
3478
+ },
3479
+ {
3480
+ "epoch": 3.83,
3481
+ "grad_norm": 1.4133708477020264,
3482
+ "learning_rate": 2.5263601855757062e-06,
3483
+ "loss": 0.4266,
3484
+ "step": 49300
3485
+ },
3486
+ {
3487
+ "epoch": 3.84,
3488
+ "grad_norm": 1.1502392292022705,
3489
+ "learning_rate": 2.5094896668072544e-06,
3490
+ "loss": 0.4254,
3491
+ "step": 49400
3492
+ },
3493
+ {
3494
+ "epoch": 3.85,
3495
+ "grad_norm": 1.2038531303405762,
3496
+ "learning_rate": 2.4926191480388022e-06,
3497
+ "loss": 0.4235,
3498
+ "step": 49500
3499
+ },
3500
+ {
3501
+ "epoch": 3.86,
3502
+ "grad_norm": 1.2624757289886475,
3503
+ "learning_rate": 2.4757486292703504e-06,
3504
+ "loss": 0.425,
3505
+ "step": 49600
3506
+ },
3507
+ {
3508
+ "epoch": 3.87,
3509
+ "grad_norm": 1.3285934925079346,
3510
+ "learning_rate": 2.458878110501898e-06,
3511
+ "loss": 0.4228,
3512
+ "step": 49700
3513
+ },
3514
+ {
3515
+ "epoch": 3.87,
3516
+ "grad_norm": 1.2643487453460693,
3517
+ "learning_rate": 2.442007591733446e-06,
3518
+ "loss": 0.4244,
3519
+ "step": 49800
3520
+ },
3521
+ {
3522
+ "epoch": 3.88,
3523
+ "grad_norm": 1.1776206493377686,
3524
+ "learning_rate": 2.425137072964994e-06,
3525
+ "loss": 0.4243,
3526
+ "step": 49900
3527
+ },
3528
+ {
3529
+ "epoch": 3.89,
3530
+ "grad_norm": 1.3528225421905518,
3531
+ "learning_rate": 2.4082665541965416e-06,
3532
+ "loss": 0.4253,
3533
+ "step": 50000
3534
+ },
3535
+ {
3536
+ "epoch": 3.9,
3537
+ "grad_norm": 1.3553099632263184,
3538
+ "learning_rate": 2.39139603542809e-06,
3539
+ "loss": 0.4221,
3540
+ "step": 50100
3541
+ },
3542
+ {
3543
+ "epoch": 3.9,
3544
+ "grad_norm": 1.1443736553192139,
3545
+ "learning_rate": 2.3745255166596376e-06,
3546
+ "loss": 0.4125,
3547
+ "step": 50200
3548
+ },
3549
+ {
3550
+ "epoch": 3.91,
3551
+ "grad_norm": 1.3355522155761719,
3552
+ "learning_rate": 2.3576549978911854e-06,
3553
+ "loss": 0.4217,
3554
+ "step": 50300
3555
+ },
3556
+ {
3557
+ "epoch": 3.92,
3558
+ "grad_norm": 1.3759735822677612,
3559
+ "learning_rate": 2.340784479122733e-06,
3560
+ "loss": 0.4228,
3561
+ "step": 50400
3562
+ },
3563
+ {
3564
+ "epoch": 3.93,
3565
+ "grad_norm": 1.3781483173370361,
3566
+ "learning_rate": 2.323913960354281e-06,
3567
+ "loss": 0.4258,
3568
+ "step": 50500
3569
+ },
3570
+ {
3571
+ "epoch": 3.94,
3572
+ "grad_norm": 1.255956768989563,
3573
+ "learning_rate": 2.3070434415858288e-06,
3574
+ "loss": 0.4167,
3575
+ "step": 50600
3576
+ },
3577
+ {
3578
+ "epoch": 3.94,
3579
+ "grad_norm": 1.239749789237976,
3580
+ "learning_rate": 2.290172922817377e-06,
3581
+ "loss": 0.4234,
3582
+ "step": 50700
3583
+ },
3584
+ {
3585
+ "epoch": 3.95,
3586
+ "grad_norm": 1.4020352363586426,
3587
+ "learning_rate": 2.2733024040489248e-06,
3588
+ "loss": 0.418,
3589
+ "step": 50800
3590
+ },
3591
+ {
3592
+ "epoch": 3.96,
3593
+ "grad_norm": 1.4167559146881104,
3594
+ "learning_rate": 2.2564318852804726e-06,
3595
+ "loss": 0.4228,
3596
+ "step": 50900
3597
+ },
3598
+ {
3599
+ "epoch": 3.97,
3600
+ "grad_norm": 1.1842854022979736,
3601
+ "learning_rate": 2.2395613665120204e-06,
3602
+ "loss": 0.4147,
3603
+ "step": 51000
3604
+ },
3605
+ {
3606
+ "epoch": 3.97,
3607
+ "grad_norm": 1.1870306730270386,
3608
+ "learning_rate": 2.222690847743568e-06,
3609
+ "loss": 0.4119,
3610
+ "step": 51100
3611
+ },
3612
+ {
3613
+ "epoch": 3.98,
3614
+ "grad_norm": 1.261056900024414,
3615
+ "learning_rate": 2.2058203289751164e-06,
3616
+ "loss": 0.4209,
3617
+ "step": 51200
3618
+ },
3619
+ {
3620
+ "epoch": 3.99,
3621
+ "grad_norm": 1.1587308645248413,
3622
+ "learning_rate": 2.1889498102066637e-06,
3623
+ "loss": 0.4263,
3624
+ "step": 51300
3625
+ },
3626
+ {
3627
+ "epoch": 4.0,
3628
+ "grad_norm": 1.261036992073059,
3629
+ "learning_rate": 2.172079291438212e-06,
3630
+ "loss": 0.4107,
3631
+ "step": 51400
3632
+ },
3633
+ {
3634
+ "epoch": 4.0,
3635
+ "eval_loss": 0.5302631258964539,
3636
+ "eval_runtime": 238.7038,
3637
+ "eval_samples_per_second": 27.013,
3638
+ "eval_steps_per_second": 27.013,
3639
+ "step": 51422
3640
+ }
3641
+ ],
3642
+ "logging_steps": 100,
3643
+ "max_steps": 64275,
3644
+ "num_input_tokens_seen": 0,
3645
+ "num_train_epochs": 5,
3646
+ "save_steps": 500,
3647
+ "total_flos": 2.2978476544119404e+18,
3648
+ "train_batch_size": 1,
3649
+ "trial_name": null,
3650
+ "trial_params": null
3651
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db8dc030a78b1a3bbbc4b3d70fec2c14dc859b4c056f5eb5faa3dfbf32d25e64
3
+ size 4856
vocab.json ADDED
The diff for this file is too large to render. See raw diff