DrNicefellow commited on
Commit
3937f2a
1 Parent(s): 7d23cba

Upload 13 files

Browse files
config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "MambaForCausalLM"
4
+ ],
5
+ "bos_token_id": 0,
6
+ "conv_kernel": 4,
7
+ "eos_token_id": 0,
8
+ "expand": 2,
9
+ "fused_add_norm": true,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2560,
12
+ "initializer_range": 0.1,
13
+ "intermediate_size": 5120,
14
+ "layer_norm_epsilon": 1e-05,
15
+ "model_type": "mamba",
16
+ "n_layer": 48,
17
+ "num_hidden_layers": 48,
18
+ "pad_token_id": 0,
19
+ "pad_vocab_size_multiple": 8,
20
+ "rescale_prenorm_residual": false,
21
+ "residual_in_fp32": true,
22
+ "rms_norm": true,
23
+ "state_size": 16,
24
+ "time_step_floor": 0.0001,
25
+ "time_step_init_scheme": "random",
26
+ "time_step_max": 0.1,
27
+ "time_step_min": 0.001,
28
+ "time_step_rank": 160,
29
+ "time_step_scale": 1.0,
30
+ "torch_dtype": "float32",
31
+ "transformers_version": "4.40.2",
32
+ "use_bias": false,
33
+ "use_cache": true,
34
+ "use_conv_bias": true,
35
+ "vocab_size": 50280
36
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 0,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.40.2"
7
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:844f090d057ca19f33d80a04c419d96920e7da75303a92ffccd8046918d88c52
3
+ size 16867928192
pytorch_model-00001-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:360ac36f33cb18b09aeb41e6d7e95100bbe1b07e97ba6f467e191857dc67268e
3
+ size 4969794150
pytorch_model-00002-of-00002.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c93b140c1bc4a0bf90d45cb9e238b1b74b98d842bb016d8c5d31036605252c1
3
+ size 3464130832
pytorch_model.bin.index.json ADDED
@@ -0,0 +1,490 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 8433756160
4
+ },
5
+ "weight_map": {
6
+ "backbone.embeddings.weight": "pytorch_model-00001-of-00002.bin",
7
+ "backbone.layers.0.mixer.A_log": "pytorch_model-00001-of-00002.bin",
8
+ "backbone.layers.0.mixer.D": "pytorch_model-00001-of-00002.bin",
9
+ "backbone.layers.0.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
10
+ "backbone.layers.0.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
11
+ "backbone.layers.0.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
12
+ "backbone.layers.0.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
13
+ "backbone.layers.0.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
14
+ "backbone.layers.0.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
15
+ "backbone.layers.0.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
16
+ "backbone.layers.0.norm.weight": "pytorch_model-00001-of-00002.bin",
17
+ "backbone.layers.1.mixer.A_log": "pytorch_model-00001-of-00002.bin",
18
+ "backbone.layers.1.mixer.D": "pytorch_model-00001-of-00002.bin",
19
+ "backbone.layers.1.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
20
+ "backbone.layers.1.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
21
+ "backbone.layers.1.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
22
+ "backbone.layers.1.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
23
+ "backbone.layers.1.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
24
+ "backbone.layers.1.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
25
+ "backbone.layers.1.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
26
+ "backbone.layers.1.norm.weight": "pytorch_model-00001-of-00002.bin",
27
+ "backbone.layers.10.mixer.A_log": "pytorch_model-00001-of-00002.bin",
28
+ "backbone.layers.10.mixer.D": "pytorch_model-00001-of-00002.bin",
29
+ "backbone.layers.10.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
30
+ "backbone.layers.10.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
31
+ "backbone.layers.10.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
32
+ "backbone.layers.10.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
33
+ "backbone.layers.10.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
34
+ "backbone.layers.10.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
35
+ "backbone.layers.10.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
36
+ "backbone.layers.10.norm.weight": "pytorch_model-00001-of-00002.bin",
37
+ "backbone.layers.11.mixer.A_log": "pytorch_model-00001-of-00002.bin",
38
+ "backbone.layers.11.mixer.D": "pytorch_model-00001-of-00002.bin",
39
+ "backbone.layers.11.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
40
+ "backbone.layers.11.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
41
+ "backbone.layers.11.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
42
+ "backbone.layers.11.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
43
+ "backbone.layers.11.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
44
+ "backbone.layers.11.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
45
+ "backbone.layers.11.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
46
+ "backbone.layers.11.norm.weight": "pytorch_model-00001-of-00002.bin",
47
+ "backbone.layers.12.mixer.A_log": "pytorch_model-00001-of-00002.bin",
48
+ "backbone.layers.12.mixer.D": "pytorch_model-00001-of-00002.bin",
49
+ "backbone.layers.12.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
50
+ "backbone.layers.12.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
51
+ "backbone.layers.12.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
52
+ "backbone.layers.12.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
53
+ "backbone.layers.12.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
54
+ "backbone.layers.12.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
55
+ "backbone.layers.12.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
56
+ "backbone.layers.12.norm.weight": "pytorch_model-00001-of-00002.bin",
57
+ "backbone.layers.13.mixer.A_log": "pytorch_model-00001-of-00002.bin",
58
+ "backbone.layers.13.mixer.D": "pytorch_model-00001-of-00002.bin",
59
+ "backbone.layers.13.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
60
+ "backbone.layers.13.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
61
+ "backbone.layers.13.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
62
+ "backbone.layers.13.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
63
+ "backbone.layers.13.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
64
+ "backbone.layers.13.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
65
+ "backbone.layers.13.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
66
+ "backbone.layers.13.norm.weight": "pytorch_model-00001-of-00002.bin",
67
+ "backbone.layers.14.mixer.A_log": "pytorch_model-00001-of-00002.bin",
68
+ "backbone.layers.14.mixer.D": "pytorch_model-00001-of-00002.bin",
69
+ "backbone.layers.14.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
70
+ "backbone.layers.14.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
71
+ "backbone.layers.14.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
72
+ "backbone.layers.14.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
73
+ "backbone.layers.14.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
74
+ "backbone.layers.14.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
75
+ "backbone.layers.14.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
76
+ "backbone.layers.14.norm.weight": "pytorch_model-00001-of-00002.bin",
77
+ "backbone.layers.15.mixer.A_log": "pytorch_model-00001-of-00002.bin",
78
+ "backbone.layers.15.mixer.D": "pytorch_model-00001-of-00002.bin",
79
+ "backbone.layers.15.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
80
+ "backbone.layers.15.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
81
+ "backbone.layers.15.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
82
+ "backbone.layers.15.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
83
+ "backbone.layers.15.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
84
+ "backbone.layers.15.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
85
+ "backbone.layers.15.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
86
+ "backbone.layers.15.norm.weight": "pytorch_model-00001-of-00002.bin",
87
+ "backbone.layers.16.mixer.A_log": "pytorch_model-00001-of-00002.bin",
88
+ "backbone.layers.16.mixer.D": "pytorch_model-00001-of-00002.bin",
89
+ "backbone.layers.16.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
90
+ "backbone.layers.16.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
91
+ "backbone.layers.16.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
92
+ "backbone.layers.16.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
93
+ "backbone.layers.16.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
94
+ "backbone.layers.16.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
95
+ "backbone.layers.16.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
96
+ "backbone.layers.16.norm.weight": "pytorch_model-00001-of-00002.bin",
97
+ "backbone.layers.17.mixer.A_log": "pytorch_model-00001-of-00002.bin",
98
+ "backbone.layers.17.mixer.D": "pytorch_model-00001-of-00002.bin",
99
+ "backbone.layers.17.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
100
+ "backbone.layers.17.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
101
+ "backbone.layers.17.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
102
+ "backbone.layers.17.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
103
+ "backbone.layers.17.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
104
+ "backbone.layers.17.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
105
+ "backbone.layers.17.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
106
+ "backbone.layers.17.norm.weight": "pytorch_model-00001-of-00002.bin",
107
+ "backbone.layers.18.mixer.A_log": "pytorch_model-00001-of-00002.bin",
108
+ "backbone.layers.18.mixer.D": "pytorch_model-00001-of-00002.bin",
109
+ "backbone.layers.18.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
110
+ "backbone.layers.18.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
111
+ "backbone.layers.18.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
112
+ "backbone.layers.18.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
113
+ "backbone.layers.18.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
114
+ "backbone.layers.18.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
115
+ "backbone.layers.18.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
116
+ "backbone.layers.18.norm.weight": "pytorch_model-00001-of-00002.bin",
117
+ "backbone.layers.19.mixer.A_log": "pytorch_model-00001-of-00002.bin",
118
+ "backbone.layers.19.mixer.D": "pytorch_model-00001-of-00002.bin",
119
+ "backbone.layers.19.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
120
+ "backbone.layers.19.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
121
+ "backbone.layers.19.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
122
+ "backbone.layers.19.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
123
+ "backbone.layers.19.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
124
+ "backbone.layers.19.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
125
+ "backbone.layers.19.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
126
+ "backbone.layers.19.norm.weight": "pytorch_model-00001-of-00002.bin",
127
+ "backbone.layers.2.mixer.A_log": "pytorch_model-00001-of-00002.bin",
128
+ "backbone.layers.2.mixer.D": "pytorch_model-00001-of-00002.bin",
129
+ "backbone.layers.2.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
130
+ "backbone.layers.2.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
131
+ "backbone.layers.2.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
132
+ "backbone.layers.2.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
133
+ "backbone.layers.2.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
134
+ "backbone.layers.2.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
135
+ "backbone.layers.2.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
136
+ "backbone.layers.2.norm.weight": "pytorch_model-00001-of-00002.bin",
137
+ "backbone.layers.20.mixer.A_log": "pytorch_model-00001-of-00002.bin",
138
+ "backbone.layers.20.mixer.D": "pytorch_model-00001-of-00002.bin",
139
+ "backbone.layers.20.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
140
+ "backbone.layers.20.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
141
+ "backbone.layers.20.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
142
+ "backbone.layers.20.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
143
+ "backbone.layers.20.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
144
+ "backbone.layers.20.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
145
+ "backbone.layers.20.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
146
+ "backbone.layers.20.norm.weight": "pytorch_model-00001-of-00002.bin",
147
+ "backbone.layers.21.mixer.A_log": "pytorch_model-00001-of-00002.bin",
148
+ "backbone.layers.21.mixer.D": "pytorch_model-00001-of-00002.bin",
149
+ "backbone.layers.21.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
150
+ "backbone.layers.21.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
151
+ "backbone.layers.21.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
152
+ "backbone.layers.21.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
153
+ "backbone.layers.21.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
154
+ "backbone.layers.21.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
155
+ "backbone.layers.21.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
156
+ "backbone.layers.21.norm.weight": "pytorch_model-00001-of-00002.bin",
157
+ "backbone.layers.22.mixer.A_log": "pytorch_model-00001-of-00002.bin",
158
+ "backbone.layers.22.mixer.D": "pytorch_model-00001-of-00002.bin",
159
+ "backbone.layers.22.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
160
+ "backbone.layers.22.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
161
+ "backbone.layers.22.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
162
+ "backbone.layers.22.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
163
+ "backbone.layers.22.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
164
+ "backbone.layers.22.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
165
+ "backbone.layers.22.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
166
+ "backbone.layers.22.norm.weight": "pytorch_model-00001-of-00002.bin",
167
+ "backbone.layers.23.mixer.A_log": "pytorch_model-00001-of-00002.bin",
168
+ "backbone.layers.23.mixer.D": "pytorch_model-00001-of-00002.bin",
169
+ "backbone.layers.23.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
170
+ "backbone.layers.23.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
171
+ "backbone.layers.23.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
172
+ "backbone.layers.23.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
173
+ "backbone.layers.23.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
174
+ "backbone.layers.23.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
175
+ "backbone.layers.23.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
176
+ "backbone.layers.23.norm.weight": "pytorch_model-00001-of-00002.bin",
177
+ "backbone.layers.24.mixer.A_log": "pytorch_model-00001-of-00002.bin",
178
+ "backbone.layers.24.mixer.D": "pytorch_model-00001-of-00002.bin",
179
+ "backbone.layers.24.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
180
+ "backbone.layers.24.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
181
+ "backbone.layers.24.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
182
+ "backbone.layers.24.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
183
+ "backbone.layers.24.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
184
+ "backbone.layers.24.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
185
+ "backbone.layers.24.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
186
+ "backbone.layers.24.norm.weight": "pytorch_model-00001-of-00002.bin",
187
+ "backbone.layers.25.mixer.A_log": "pytorch_model-00001-of-00002.bin",
188
+ "backbone.layers.25.mixer.D": "pytorch_model-00001-of-00002.bin",
189
+ "backbone.layers.25.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
190
+ "backbone.layers.25.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
191
+ "backbone.layers.25.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
192
+ "backbone.layers.25.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
193
+ "backbone.layers.25.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
194
+ "backbone.layers.25.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
195
+ "backbone.layers.25.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
196
+ "backbone.layers.25.norm.weight": "pytorch_model-00001-of-00002.bin",
197
+ "backbone.layers.26.mixer.A_log": "pytorch_model-00001-of-00002.bin",
198
+ "backbone.layers.26.mixer.D": "pytorch_model-00001-of-00002.bin",
199
+ "backbone.layers.26.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
200
+ "backbone.layers.26.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
201
+ "backbone.layers.26.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
202
+ "backbone.layers.26.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
203
+ "backbone.layers.26.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
204
+ "backbone.layers.26.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
205
+ "backbone.layers.26.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
206
+ "backbone.layers.26.norm.weight": "pytorch_model-00001-of-00002.bin",
207
+ "backbone.layers.27.mixer.A_log": "pytorch_model-00001-of-00002.bin",
208
+ "backbone.layers.27.mixer.D": "pytorch_model-00001-of-00002.bin",
209
+ "backbone.layers.27.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
210
+ "backbone.layers.27.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
211
+ "backbone.layers.27.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
212
+ "backbone.layers.27.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
213
+ "backbone.layers.27.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
214
+ "backbone.layers.27.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
215
+ "backbone.layers.27.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
216
+ "backbone.layers.27.norm.weight": "pytorch_model-00001-of-00002.bin",
217
+ "backbone.layers.28.mixer.A_log": "pytorch_model-00002-of-00002.bin",
218
+ "backbone.layers.28.mixer.D": "pytorch_model-00002-of-00002.bin",
219
+ "backbone.layers.28.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
220
+ "backbone.layers.28.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
221
+ "backbone.layers.28.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
222
+ "backbone.layers.28.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
223
+ "backbone.layers.28.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
224
+ "backbone.layers.28.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
225
+ "backbone.layers.28.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
226
+ "backbone.layers.28.norm.weight": "pytorch_model-00002-of-00002.bin",
227
+ "backbone.layers.29.mixer.A_log": "pytorch_model-00002-of-00002.bin",
228
+ "backbone.layers.29.mixer.D": "pytorch_model-00002-of-00002.bin",
229
+ "backbone.layers.29.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
230
+ "backbone.layers.29.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
231
+ "backbone.layers.29.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
232
+ "backbone.layers.29.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
233
+ "backbone.layers.29.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
234
+ "backbone.layers.29.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
235
+ "backbone.layers.29.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
236
+ "backbone.layers.29.norm.weight": "pytorch_model-00002-of-00002.bin",
237
+ "backbone.layers.3.mixer.A_log": "pytorch_model-00001-of-00002.bin",
238
+ "backbone.layers.3.mixer.D": "pytorch_model-00001-of-00002.bin",
239
+ "backbone.layers.3.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
240
+ "backbone.layers.3.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
241
+ "backbone.layers.3.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
242
+ "backbone.layers.3.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
243
+ "backbone.layers.3.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
244
+ "backbone.layers.3.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
245
+ "backbone.layers.3.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
246
+ "backbone.layers.3.norm.weight": "pytorch_model-00001-of-00002.bin",
247
+ "backbone.layers.30.mixer.A_log": "pytorch_model-00002-of-00002.bin",
248
+ "backbone.layers.30.mixer.D": "pytorch_model-00002-of-00002.bin",
249
+ "backbone.layers.30.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
250
+ "backbone.layers.30.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
251
+ "backbone.layers.30.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
252
+ "backbone.layers.30.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
253
+ "backbone.layers.30.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
254
+ "backbone.layers.30.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
255
+ "backbone.layers.30.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
256
+ "backbone.layers.30.norm.weight": "pytorch_model-00002-of-00002.bin",
257
+ "backbone.layers.31.mixer.A_log": "pytorch_model-00002-of-00002.bin",
258
+ "backbone.layers.31.mixer.D": "pytorch_model-00002-of-00002.bin",
259
+ "backbone.layers.31.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
260
+ "backbone.layers.31.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
261
+ "backbone.layers.31.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
262
+ "backbone.layers.31.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
263
+ "backbone.layers.31.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
264
+ "backbone.layers.31.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
265
+ "backbone.layers.31.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
266
+ "backbone.layers.31.norm.weight": "pytorch_model-00002-of-00002.bin",
267
+ "backbone.layers.32.mixer.A_log": "pytorch_model-00002-of-00002.bin",
268
+ "backbone.layers.32.mixer.D": "pytorch_model-00002-of-00002.bin",
269
+ "backbone.layers.32.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
270
+ "backbone.layers.32.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
271
+ "backbone.layers.32.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
272
+ "backbone.layers.32.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
273
+ "backbone.layers.32.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
274
+ "backbone.layers.32.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
275
+ "backbone.layers.32.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
276
+ "backbone.layers.32.norm.weight": "pytorch_model-00002-of-00002.bin",
277
+ "backbone.layers.33.mixer.A_log": "pytorch_model-00002-of-00002.bin",
278
+ "backbone.layers.33.mixer.D": "pytorch_model-00002-of-00002.bin",
279
+ "backbone.layers.33.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
280
+ "backbone.layers.33.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
281
+ "backbone.layers.33.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
282
+ "backbone.layers.33.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
283
+ "backbone.layers.33.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
284
+ "backbone.layers.33.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
285
+ "backbone.layers.33.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
286
+ "backbone.layers.33.norm.weight": "pytorch_model-00002-of-00002.bin",
287
+ "backbone.layers.34.mixer.A_log": "pytorch_model-00002-of-00002.bin",
288
+ "backbone.layers.34.mixer.D": "pytorch_model-00002-of-00002.bin",
289
+ "backbone.layers.34.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
290
+ "backbone.layers.34.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
291
+ "backbone.layers.34.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
292
+ "backbone.layers.34.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
293
+ "backbone.layers.34.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
294
+ "backbone.layers.34.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
295
+ "backbone.layers.34.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
296
+ "backbone.layers.34.norm.weight": "pytorch_model-00002-of-00002.bin",
297
+ "backbone.layers.35.mixer.A_log": "pytorch_model-00002-of-00002.bin",
298
+ "backbone.layers.35.mixer.D": "pytorch_model-00002-of-00002.bin",
299
+ "backbone.layers.35.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
300
+ "backbone.layers.35.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
301
+ "backbone.layers.35.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
302
+ "backbone.layers.35.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
303
+ "backbone.layers.35.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
304
+ "backbone.layers.35.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
305
+ "backbone.layers.35.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
306
+ "backbone.layers.35.norm.weight": "pytorch_model-00002-of-00002.bin",
307
+ "backbone.layers.36.mixer.A_log": "pytorch_model-00002-of-00002.bin",
308
+ "backbone.layers.36.mixer.D": "pytorch_model-00002-of-00002.bin",
309
+ "backbone.layers.36.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
310
+ "backbone.layers.36.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
311
+ "backbone.layers.36.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
312
+ "backbone.layers.36.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
313
+ "backbone.layers.36.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
314
+ "backbone.layers.36.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
315
+ "backbone.layers.36.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
316
+ "backbone.layers.36.norm.weight": "pytorch_model-00002-of-00002.bin",
317
+ "backbone.layers.37.mixer.A_log": "pytorch_model-00002-of-00002.bin",
318
+ "backbone.layers.37.mixer.D": "pytorch_model-00002-of-00002.bin",
319
+ "backbone.layers.37.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
320
+ "backbone.layers.37.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
321
+ "backbone.layers.37.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
322
+ "backbone.layers.37.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
323
+ "backbone.layers.37.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
324
+ "backbone.layers.37.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
325
+ "backbone.layers.37.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
326
+ "backbone.layers.37.norm.weight": "pytorch_model-00002-of-00002.bin",
327
+ "backbone.layers.38.mixer.A_log": "pytorch_model-00002-of-00002.bin",
328
+ "backbone.layers.38.mixer.D": "pytorch_model-00002-of-00002.bin",
329
+ "backbone.layers.38.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
330
+ "backbone.layers.38.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
331
+ "backbone.layers.38.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
332
+ "backbone.layers.38.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
333
+ "backbone.layers.38.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
334
+ "backbone.layers.38.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
335
+ "backbone.layers.38.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
336
+ "backbone.layers.38.norm.weight": "pytorch_model-00002-of-00002.bin",
337
+ "backbone.layers.39.mixer.A_log": "pytorch_model-00002-of-00002.bin",
338
+ "backbone.layers.39.mixer.D": "pytorch_model-00002-of-00002.bin",
339
+ "backbone.layers.39.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
340
+ "backbone.layers.39.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
341
+ "backbone.layers.39.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
342
+ "backbone.layers.39.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
343
+ "backbone.layers.39.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
344
+ "backbone.layers.39.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
345
+ "backbone.layers.39.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
346
+ "backbone.layers.39.norm.weight": "pytorch_model-00002-of-00002.bin",
347
+ "backbone.layers.4.mixer.A_log": "pytorch_model-00001-of-00002.bin",
348
+ "backbone.layers.4.mixer.D": "pytorch_model-00001-of-00002.bin",
349
+ "backbone.layers.4.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
350
+ "backbone.layers.4.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
351
+ "backbone.layers.4.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
352
+ "backbone.layers.4.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
353
+ "backbone.layers.4.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
354
+ "backbone.layers.4.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
355
+ "backbone.layers.4.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
356
+ "backbone.layers.4.norm.weight": "pytorch_model-00001-of-00002.bin",
357
+ "backbone.layers.40.mixer.A_log": "pytorch_model-00002-of-00002.bin",
358
+ "backbone.layers.40.mixer.D": "pytorch_model-00002-of-00002.bin",
359
+ "backbone.layers.40.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
360
+ "backbone.layers.40.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
361
+ "backbone.layers.40.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
362
+ "backbone.layers.40.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
363
+ "backbone.layers.40.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
364
+ "backbone.layers.40.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
365
+ "backbone.layers.40.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
366
+ "backbone.layers.40.norm.weight": "pytorch_model-00002-of-00002.bin",
367
+ "backbone.layers.41.mixer.A_log": "pytorch_model-00002-of-00002.bin",
368
+ "backbone.layers.41.mixer.D": "pytorch_model-00002-of-00002.bin",
369
+ "backbone.layers.41.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
370
+ "backbone.layers.41.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
371
+ "backbone.layers.41.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
372
+ "backbone.layers.41.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
373
+ "backbone.layers.41.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
374
+ "backbone.layers.41.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
375
+ "backbone.layers.41.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
376
+ "backbone.layers.41.norm.weight": "pytorch_model-00002-of-00002.bin",
377
+ "backbone.layers.42.mixer.A_log": "pytorch_model-00002-of-00002.bin",
378
+ "backbone.layers.42.mixer.D": "pytorch_model-00002-of-00002.bin",
379
+ "backbone.layers.42.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
380
+ "backbone.layers.42.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
381
+ "backbone.layers.42.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
382
+ "backbone.layers.42.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
383
+ "backbone.layers.42.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
384
+ "backbone.layers.42.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
385
+ "backbone.layers.42.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
386
+ "backbone.layers.42.norm.weight": "pytorch_model-00002-of-00002.bin",
387
+ "backbone.layers.43.mixer.A_log": "pytorch_model-00002-of-00002.bin",
388
+ "backbone.layers.43.mixer.D": "pytorch_model-00002-of-00002.bin",
389
+ "backbone.layers.43.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
390
+ "backbone.layers.43.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
391
+ "backbone.layers.43.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
392
+ "backbone.layers.43.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
393
+ "backbone.layers.43.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
394
+ "backbone.layers.43.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
395
+ "backbone.layers.43.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
396
+ "backbone.layers.43.norm.weight": "pytorch_model-00002-of-00002.bin",
397
+ "backbone.layers.44.mixer.A_log": "pytorch_model-00002-of-00002.bin",
398
+ "backbone.layers.44.mixer.D": "pytorch_model-00002-of-00002.bin",
399
+ "backbone.layers.44.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
400
+ "backbone.layers.44.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
401
+ "backbone.layers.44.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
402
+ "backbone.layers.44.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
403
+ "backbone.layers.44.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
404
+ "backbone.layers.44.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
405
+ "backbone.layers.44.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
406
+ "backbone.layers.44.norm.weight": "pytorch_model-00002-of-00002.bin",
407
+ "backbone.layers.45.mixer.A_log": "pytorch_model-00002-of-00002.bin",
408
+ "backbone.layers.45.mixer.D": "pytorch_model-00002-of-00002.bin",
409
+ "backbone.layers.45.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
410
+ "backbone.layers.45.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
411
+ "backbone.layers.45.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
412
+ "backbone.layers.45.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
413
+ "backbone.layers.45.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
414
+ "backbone.layers.45.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
415
+ "backbone.layers.45.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
416
+ "backbone.layers.45.norm.weight": "pytorch_model-00002-of-00002.bin",
417
+ "backbone.layers.46.mixer.A_log": "pytorch_model-00002-of-00002.bin",
418
+ "backbone.layers.46.mixer.D": "pytorch_model-00002-of-00002.bin",
419
+ "backbone.layers.46.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
420
+ "backbone.layers.46.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
421
+ "backbone.layers.46.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
422
+ "backbone.layers.46.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
423
+ "backbone.layers.46.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
424
+ "backbone.layers.46.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
425
+ "backbone.layers.46.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
426
+ "backbone.layers.46.norm.weight": "pytorch_model-00002-of-00002.bin",
427
+ "backbone.layers.47.mixer.A_log": "pytorch_model-00002-of-00002.bin",
428
+ "backbone.layers.47.mixer.D": "pytorch_model-00002-of-00002.bin",
429
+ "backbone.layers.47.mixer.conv1d.bias": "pytorch_model-00002-of-00002.bin",
430
+ "backbone.layers.47.mixer.conv1d.weight": "pytorch_model-00002-of-00002.bin",
431
+ "backbone.layers.47.mixer.dt_proj.bias": "pytorch_model-00002-of-00002.bin",
432
+ "backbone.layers.47.mixer.dt_proj.weight": "pytorch_model-00002-of-00002.bin",
433
+ "backbone.layers.47.mixer.in_proj.weight": "pytorch_model-00002-of-00002.bin",
434
+ "backbone.layers.47.mixer.out_proj.weight": "pytorch_model-00002-of-00002.bin",
435
+ "backbone.layers.47.mixer.x_proj.weight": "pytorch_model-00002-of-00002.bin",
436
+ "backbone.layers.47.norm.weight": "pytorch_model-00002-of-00002.bin",
437
+ "backbone.layers.5.mixer.A_log": "pytorch_model-00001-of-00002.bin",
438
+ "backbone.layers.5.mixer.D": "pytorch_model-00001-of-00002.bin",
439
+ "backbone.layers.5.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
440
+ "backbone.layers.5.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
441
+ "backbone.layers.5.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
442
+ "backbone.layers.5.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
443
+ "backbone.layers.5.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
444
+ "backbone.layers.5.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
445
+ "backbone.layers.5.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
446
+ "backbone.layers.5.norm.weight": "pytorch_model-00001-of-00002.bin",
447
+ "backbone.layers.6.mixer.A_log": "pytorch_model-00001-of-00002.bin",
448
+ "backbone.layers.6.mixer.D": "pytorch_model-00001-of-00002.bin",
449
+ "backbone.layers.6.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
450
+ "backbone.layers.6.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
451
+ "backbone.layers.6.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
452
+ "backbone.layers.6.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
453
+ "backbone.layers.6.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
454
+ "backbone.layers.6.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
455
+ "backbone.layers.6.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
456
+ "backbone.layers.6.norm.weight": "pytorch_model-00001-of-00002.bin",
457
+ "backbone.layers.7.mixer.A_log": "pytorch_model-00001-of-00002.bin",
458
+ "backbone.layers.7.mixer.D": "pytorch_model-00001-of-00002.bin",
459
+ "backbone.layers.7.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
460
+ "backbone.layers.7.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
461
+ "backbone.layers.7.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
462
+ "backbone.layers.7.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
463
+ "backbone.layers.7.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
464
+ "backbone.layers.7.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
465
+ "backbone.layers.7.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
466
+ "backbone.layers.7.norm.weight": "pytorch_model-00001-of-00002.bin",
467
+ "backbone.layers.8.mixer.A_log": "pytorch_model-00001-of-00002.bin",
468
+ "backbone.layers.8.mixer.D": "pytorch_model-00001-of-00002.bin",
469
+ "backbone.layers.8.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
470
+ "backbone.layers.8.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
471
+ "backbone.layers.8.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
472
+ "backbone.layers.8.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
473
+ "backbone.layers.8.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
474
+ "backbone.layers.8.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
475
+ "backbone.layers.8.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
476
+ "backbone.layers.8.norm.weight": "pytorch_model-00001-of-00002.bin",
477
+ "backbone.layers.9.mixer.A_log": "pytorch_model-00001-of-00002.bin",
478
+ "backbone.layers.9.mixer.D": "pytorch_model-00001-of-00002.bin",
479
+ "backbone.layers.9.mixer.conv1d.bias": "pytorch_model-00001-of-00002.bin",
480
+ "backbone.layers.9.mixer.conv1d.weight": "pytorch_model-00001-of-00002.bin",
481
+ "backbone.layers.9.mixer.dt_proj.bias": "pytorch_model-00001-of-00002.bin",
482
+ "backbone.layers.9.mixer.dt_proj.weight": "pytorch_model-00001-of-00002.bin",
483
+ "backbone.layers.9.mixer.in_proj.weight": "pytorch_model-00001-of-00002.bin",
484
+ "backbone.layers.9.mixer.out_proj.weight": "pytorch_model-00001-of-00002.bin",
485
+ "backbone.layers.9.mixer.x_proj.weight": "pytorch_model-00001-of-00002.bin",
486
+ "backbone.layers.9.norm.weight": "pytorch_model-00001-of-00002.bin",
487
+ "backbone.norm_f.weight": "pytorch_model-00002-of-00002.bin",
488
+ "lm_head.weight": "pytorch_model-00001-of-00002.bin"
489
+ }
490
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f346a59ff32f65420182867153c8c6a00a1a74b1c2971b280578bc6d6be760ed
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|endoftext|>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<|endoftext|>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<|padding|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "50254": {
23
+ "content": " ",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "50255": {
31
+ "content": " ",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "50256": {
39
+ "content": " ",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "50257": {
47
+ "content": " ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "50258": {
55
+ "content": " ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "50259": {
63
+ "content": " ",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "50260": {
71
+ "content": " ",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "50261": {
79
+ "content": " ",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "50262": {
87
+ "content": " ",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "50263": {
95
+ "content": " ",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "50264": {
103
+ "content": " ",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "50265": {
111
+ "content": " ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "50266": {
119
+ "content": " ",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ },
126
+ "50267": {
127
+ "content": " ",
128
+ "lstrip": false,
129
+ "normalized": true,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "50268": {
135
+ "content": " ",
136
+ "lstrip": false,
137
+ "normalized": true,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "50269": {
143
+ "content": " ",
144
+ "lstrip": false,
145
+ "normalized": true,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "50270": {
151
+ "content": " ",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "50271": {
159
+ "content": " ",
160
+ "lstrip": false,
161
+ "normalized": true,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "50272": {
167
+ "content": " ",
168
+ "lstrip": false,
169
+ "normalized": true,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "50273": {
175
+ "content": " ",
176
+ "lstrip": false,
177
+ "normalized": true,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ },
182
+ "50274": {
183
+ "content": " ",
184
+ "lstrip": false,
185
+ "normalized": true,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": false
189
+ },
190
+ "50275": {
191
+ "content": " ",
192
+ "lstrip": false,
193
+ "normalized": true,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": false
197
+ },
198
+ "50276": {
199
+ "content": " ",
200
+ "lstrip": false,
201
+ "normalized": true,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": false
205
+ }
206
+ },
207
+ "bos_token": "<|endoftext|>",
208
+ "clean_up_tokenization_spaces": true,
209
+ "eos_token": "<|endoftext|>",
210
+ "model_max_length": 1000000000000000019884624838656,
211
+ "pad_token": "<|endoftext|>",
212
+ "tokenizer_class": "GPTNeoXTokenizer",
213
+ "unk_token": "<|endoftext|>"
214
+ }
trainer_state.json ADDED
@@ -0,0 +1,3150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.10921169025567863,
5
+ "eval_steps": 100000000,
6
+ "global_step": 13400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 8.15012613848348e-06,
13
+ "grad_norm": 43.29102325439453,
14
+ "learning_rate": 1.0000000000000001e-07,
15
+ "loss": 81.0533,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0002445037841545044,
20
+ "grad_norm": 42.03493881225586,
21
+ "learning_rate": 3e-06,
22
+ "loss": 70.3325,
23
+ "step": 30
24
+ },
25
+ {
26
+ "epoch": 0.0004890075683090088,
27
+ "grad_norm": 10.497812271118164,
28
+ "learning_rate": 6e-06,
29
+ "loss": 23.8844,
30
+ "step": 60
31
+ },
32
+ {
33
+ "epoch": 0.0007335113524635132,
34
+ "grad_norm": 6.692718029022217,
35
+ "learning_rate": 9e-06,
36
+ "loss": 11.7198,
37
+ "step": 90
38
+ },
39
+ {
40
+ "epoch": 0.0009780151366180175,
41
+ "grad_norm": 9.11446475982666,
42
+ "learning_rate": 1.2e-05,
43
+ "loss": 10.3199,
44
+ "step": 120
45
+ },
46
+ {
47
+ "epoch": 0.001222518920772522,
48
+ "grad_norm": 16.92243766784668,
49
+ "learning_rate": 1.5e-05,
50
+ "loss": 9.5338,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.0014670227049270264,
55
+ "grad_norm": 12.929216384887695,
56
+ "learning_rate": 1.8e-05,
57
+ "loss": 8.9114,
58
+ "step": 180
59
+ },
60
+ {
61
+ "epoch": 0.0017115264890815308,
62
+ "grad_norm": 8.830116271972656,
63
+ "learning_rate": 2.1e-05,
64
+ "loss": 8.3867,
65
+ "step": 210
66
+ },
67
+ {
68
+ "epoch": 0.001956030273236035,
69
+ "grad_norm": 7.348124980926514,
70
+ "learning_rate": 2.4e-05,
71
+ "loss": 8.0113,
72
+ "step": 240
73
+ },
74
+ {
75
+ "epoch": 0.0022005340573905395,
76
+ "grad_norm": 12.751787185668945,
77
+ "learning_rate": 2.7000000000000002e-05,
78
+ "loss": 7.6093,
79
+ "step": 270
80
+ },
81
+ {
82
+ "epoch": 0.002445037841545044,
83
+ "grad_norm": 15.10444164276123,
84
+ "learning_rate": 3e-05,
85
+ "loss": 7.3484,
86
+ "step": 300
87
+ },
88
+ {
89
+ "epoch": 0.0026895416256995483,
90
+ "grad_norm": 6.653383731842041,
91
+ "learning_rate": 3.3e-05,
92
+ "loss": 7.2105,
93
+ "step": 330
94
+ },
95
+ {
96
+ "epoch": 0.0029340454098540527,
97
+ "grad_norm": 6.986039161682129,
98
+ "learning_rate": 3.6e-05,
99
+ "loss": 7.0228,
100
+ "step": 360
101
+ },
102
+ {
103
+ "epoch": 0.003178549194008557,
104
+ "grad_norm": 6.230088710784912,
105
+ "learning_rate": 3.9000000000000006e-05,
106
+ "loss": 6.8948,
107
+ "step": 390
108
+ },
109
+ {
110
+ "epoch": 0.0034230529781630616,
111
+ "grad_norm": 8.170981407165527,
112
+ "learning_rate": 4.2e-05,
113
+ "loss": 6.6965,
114
+ "step": 420
115
+ },
116
+ {
117
+ "epoch": 0.0036675567623175656,
118
+ "grad_norm": 5.6345930099487305,
119
+ "learning_rate": 4.5e-05,
120
+ "loss": 6.5988,
121
+ "step": 450
122
+ },
123
+ {
124
+ "epoch": 0.00391206054647207,
125
+ "grad_norm": 5.156513214111328,
126
+ "learning_rate": 4.8e-05,
127
+ "loss": 6.4795,
128
+ "step": 480
129
+ },
130
+ {
131
+ "epoch": 0.0041565643306265745,
132
+ "grad_norm": 5.4964189529418945,
133
+ "learning_rate": 4.999999990869806e-05,
134
+ "loss": 6.333,
135
+ "step": 510
136
+ },
137
+ {
138
+ "epoch": 0.004401068114781079,
139
+ "grad_norm": 3.67378306388855,
140
+ "learning_rate": 4.999999853916893e-05,
141
+ "loss": 6.2208,
142
+ "step": 540
143
+ },
144
+ {
145
+ "epoch": 0.004645571898935583,
146
+ "grad_norm": 8.507222175598145,
147
+ "learning_rate": 4.9999995526204936e-05,
148
+ "loss": 6.1097,
149
+ "step": 570
150
+ },
151
+ {
152
+ "epoch": 0.004890075683090088,
153
+ "grad_norm": 3.756618022918701,
154
+ "learning_rate": 4.999999086980628e-05,
155
+ "loss": 5.9886,
156
+ "step": 600
157
+ },
158
+ {
159
+ "epoch": 0.005134579467244592,
160
+ "grad_norm": 3.8149781227111816,
161
+ "learning_rate": 4.999998456997326e-05,
162
+ "loss": 5.8779,
163
+ "step": 630
164
+ },
165
+ {
166
+ "epoch": 0.005379083251399097,
167
+ "grad_norm": 3.840543270111084,
168
+ "learning_rate": 4.999997662670628e-05,
169
+ "loss": 5.805,
170
+ "step": 660
171
+ },
172
+ {
173
+ "epoch": 0.005623587035553601,
174
+ "grad_norm": 3.4208931922912598,
175
+ "learning_rate": 4.999996704000589e-05,
176
+ "loss": 5.6992,
177
+ "step": 690
178
+ },
179
+ {
180
+ "epoch": 0.0058680908197081055,
181
+ "grad_norm": 3.2975683212280273,
182
+ "learning_rate": 4.99999558098727e-05,
183
+ "loss": 5.6531,
184
+ "step": 720
185
+ },
186
+ {
187
+ "epoch": 0.00611259460386261,
188
+ "grad_norm": 4.05631160736084,
189
+ "learning_rate": 4.9999942936307445e-05,
190
+ "loss": 5.554,
191
+ "step": 750
192
+ },
193
+ {
194
+ "epoch": 0.006357098388017114,
195
+ "grad_norm": 3.1539864540100098,
196
+ "learning_rate": 4.9999928419310994e-05,
197
+ "loss": 5.4931,
198
+ "step": 780
199
+ },
200
+ {
201
+ "epoch": 0.006601602172171619,
202
+ "grad_norm": 4.811732292175293,
203
+ "learning_rate": 4.999991225888427e-05,
204
+ "loss": 5.4204,
205
+ "step": 810
206
+ },
207
+ {
208
+ "epoch": 0.006846105956326123,
209
+ "grad_norm": 2.9593210220336914,
210
+ "learning_rate": 4.999989445502837e-05,
211
+ "loss": 5.3687,
212
+ "step": 840
213
+ },
214
+ {
215
+ "epoch": 0.007090609740480627,
216
+ "grad_norm": 3.942239284515381,
217
+ "learning_rate": 4.9999875007744436e-05,
218
+ "loss": 5.3238,
219
+ "step": 870
220
+ },
221
+ {
222
+ "epoch": 0.007335113524635131,
223
+ "grad_norm": 2.29752254486084,
224
+ "learning_rate": 4.9999853917033756e-05,
225
+ "loss": 5.2423,
226
+ "step": 900
227
+ },
228
+ {
229
+ "epoch": 0.007579617308789636,
230
+ "grad_norm": 2.243770122528076,
231
+ "learning_rate": 4.999983118289773e-05,
232
+ "loss": 5.2384,
233
+ "step": 930
234
+ },
235
+ {
236
+ "epoch": 0.00782412109294414,
237
+ "grad_norm": 2.5572686195373535,
238
+ "learning_rate": 4.999980680533782e-05,
239
+ "loss": 5.1761,
240
+ "step": 960
241
+ },
242
+ {
243
+ "epoch": 0.008068624877098645,
244
+ "grad_norm": 2.4739913940429688,
245
+ "learning_rate": 4.999978078435567e-05,
246
+ "loss": 5.1215,
247
+ "step": 990
248
+ },
249
+ {
250
+ "epoch": 0.008313128661253149,
251
+ "grad_norm": 1.6927807331085205,
252
+ "learning_rate": 4.999975311995295e-05,
253
+ "loss": 5.1264,
254
+ "step": 1020
255
+ },
256
+ {
257
+ "epoch": 0.008557632445407654,
258
+ "grad_norm": 2.3166885375976562,
259
+ "learning_rate": 4.99997238121315e-05,
260
+ "loss": 5.0469,
261
+ "step": 1050
262
+ },
263
+ {
264
+ "epoch": 0.008802136229562158,
265
+ "grad_norm": 1.69430410861969,
266
+ "learning_rate": 4.999969286089325e-05,
267
+ "loss": 5.005,
268
+ "step": 1080
269
+ },
270
+ {
271
+ "epoch": 0.009046640013716663,
272
+ "grad_norm": 2.0859012603759766,
273
+ "learning_rate": 4.9999660266240235e-05,
274
+ "loss": 4.9693,
275
+ "step": 1110
276
+ },
277
+ {
278
+ "epoch": 0.009291143797871167,
279
+ "grad_norm": 1.7291619777679443,
280
+ "learning_rate": 4.9999626028174585e-05,
281
+ "loss": 4.9352,
282
+ "step": 1140
283
+ },
284
+ {
285
+ "epoch": 0.00953564758202567,
286
+ "grad_norm": 1.5966330766677856,
287
+ "learning_rate": 4.999959014669856e-05,
288
+ "loss": 4.87,
289
+ "step": 1170
290
+ },
291
+ {
292
+ "epoch": 0.009780151366180176,
293
+ "grad_norm": 1.9011143445968628,
294
+ "learning_rate": 4.9999552621814513e-05,
295
+ "loss": 4.8772,
296
+ "step": 1200
297
+ },
298
+ {
299
+ "epoch": 0.010024655150334679,
300
+ "grad_norm": 1.701004981994629,
301
+ "learning_rate": 4.9999513453524917e-05,
302
+ "loss": 4.8484,
303
+ "step": 1230
304
+ },
305
+ {
306
+ "epoch": 0.010269158934489184,
307
+ "grad_norm": 2.171808958053589,
308
+ "learning_rate": 4.9999472641832336e-05,
309
+ "loss": 4.8233,
310
+ "step": 1260
311
+ },
312
+ {
313
+ "epoch": 0.010513662718643688,
314
+ "grad_norm": 1.4896094799041748,
315
+ "learning_rate": 4.999943018673946e-05,
316
+ "loss": 4.7921,
317
+ "step": 1290
318
+ },
319
+ {
320
+ "epoch": 0.010758166502798193,
321
+ "grad_norm": 2.112971544265747,
322
+ "learning_rate": 4.999938608824909e-05,
323
+ "loss": 4.7908,
324
+ "step": 1320
325
+ },
326
+ {
327
+ "epoch": 0.011002670286952697,
328
+ "grad_norm": 1.7113062143325806,
329
+ "learning_rate": 4.999934034636411e-05,
330
+ "loss": 4.7186,
331
+ "step": 1350
332
+ },
333
+ {
334
+ "epoch": 0.011247174071107202,
335
+ "grad_norm": 2.099663019180298,
336
+ "learning_rate": 4.999929296108753e-05,
337
+ "loss": 4.7112,
338
+ "step": 1380
339
+ },
340
+ {
341
+ "epoch": 0.011491677855261706,
342
+ "grad_norm": 1.40205979347229,
343
+ "learning_rate": 4.9999243932422466e-05,
344
+ "loss": 4.6701,
345
+ "step": 1410
346
+ },
347
+ {
348
+ "epoch": 0.011736181639416211,
349
+ "grad_norm": 1.53098726272583,
350
+ "learning_rate": 4.999919326037215e-05,
351
+ "loss": 4.6786,
352
+ "step": 1440
353
+ },
354
+ {
355
+ "epoch": 0.011980685423570715,
356
+ "grad_norm": 1.7461609840393066,
357
+ "learning_rate": 4.99991409449399e-05,
358
+ "loss": 4.6614,
359
+ "step": 1470
360
+ },
361
+ {
362
+ "epoch": 0.01222518920772522,
363
+ "grad_norm": 1.6045819520950317,
364
+ "learning_rate": 4.999908698612916e-05,
365
+ "loss": 4.6233,
366
+ "step": 1500
367
+ },
368
+ {
369
+ "epoch": 0.012469692991879723,
370
+ "grad_norm": 1.351077675819397,
371
+ "learning_rate": 4.9999031383943486e-05,
372
+ "loss": 4.626,
373
+ "step": 1530
374
+ },
375
+ {
376
+ "epoch": 0.012714196776034229,
377
+ "grad_norm": 1.4363055229187012,
378
+ "learning_rate": 4.999897413838651e-05,
379
+ "loss": 4.5781,
380
+ "step": 1560
381
+ },
382
+ {
383
+ "epoch": 0.012958700560188732,
384
+ "grad_norm": 1.1321336030960083,
385
+ "learning_rate": 4.999891524946202e-05,
386
+ "loss": 4.5492,
387
+ "step": 1590
388
+ },
389
+ {
390
+ "epoch": 0.013203204344343238,
391
+ "grad_norm": 1.2755215167999268,
392
+ "learning_rate": 4.999885471717387e-05,
393
+ "loss": 4.5444,
394
+ "step": 1620
395
+ },
396
+ {
397
+ "epoch": 0.013447708128497741,
398
+ "grad_norm": 1.471504807472229,
399
+ "learning_rate": 4.999879254152605e-05,
400
+ "loss": 4.5247,
401
+ "step": 1650
402
+ },
403
+ {
404
+ "epoch": 0.013692211912652246,
405
+ "grad_norm": 1.3664900064468384,
406
+ "learning_rate": 4.999872872252265e-05,
407
+ "loss": 4.5158,
408
+ "step": 1680
409
+ },
410
+ {
411
+ "epoch": 0.01393671569680675,
412
+ "grad_norm": 1.360611915588379,
413
+ "learning_rate": 4.999866326016785e-05,
414
+ "loss": 4.498,
415
+ "step": 1710
416
+ },
417
+ {
418
+ "epoch": 0.014181219480961254,
419
+ "grad_norm": 1.43533456325531,
420
+ "learning_rate": 4.999859615446596e-05,
421
+ "loss": 4.5035,
422
+ "step": 1740
423
+ },
424
+ {
425
+ "epoch": 0.014425723265115759,
426
+ "grad_norm": 1.4639947414398193,
427
+ "learning_rate": 4.99985274054214e-05,
428
+ "loss": 4.4533,
429
+ "step": 1770
430
+ },
431
+ {
432
+ "epoch": 0.014670227049270262,
433
+ "grad_norm": 1.438585638999939,
434
+ "learning_rate": 4.999845701303868e-05,
435
+ "loss": 4.4484,
436
+ "step": 1800
437
+ },
438
+ {
439
+ "epoch": 0.014914730833424768,
440
+ "grad_norm": 1.1868066787719727,
441
+ "learning_rate": 4.999838497732243e-05,
442
+ "loss": 4.4516,
443
+ "step": 1830
444
+ },
445
+ {
446
+ "epoch": 0.015159234617579271,
447
+ "grad_norm": 1.1804672479629517,
448
+ "learning_rate": 4.999831129827739e-05,
449
+ "loss": 4.4378,
450
+ "step": 1860
451
+ },
452
+ {
453
+ "epoch": 0.015403738401733777,
454
+ "grad_norm": 1.127652645111084,
455
+ "learning_rate": 4.9998235975908394e-05,
456
+ "loss": 4.4,
457
+ "step": 1890
458
+ },
459
+ {
460
+ "epoch": 0.01564824218588828,
461
+ "grad_norm": 1.2617137432098389,
462
+ "learning_rate": 4.99981590102204e-05,
463
+ "loss": 4.3802,
464
+ "step": 1920
465
+ },
466
+ {
467
+ "epoch": 0.015892745970042785,
468
+ "grad_norm": 1.4249097108840942,
469
+ "learning_rate": 4.9998080401218464e-05,
470
+ "loss": 4.3689,
471
+ "step": 1950
472
+ },
473
+ {
474
+ "epoch": 0.01613724975419729,
475
+ "grad_norm": 1.0717036724090576,
476
+ "learning_rate": 4.999800014890777e-05,
477
+ "loss": 4.3645,
478
+ "step": 1980
479
+ },
480
+ {
481
+ "epoch": 0.016381753538351793,
482
+ "grad_norm": 1.414404273033142,
483
+ "learning_rate": 4.9997918253293555e-05,
484
+ "loss": 4.343,
485
+ "step": 2010
486
+ },
487
+ {
488
+ "epoch": 0.016626257322506298,
489
+ "grad_norm": 1.1941649913787842,
490
+ "learning_rate": 4.999783471438124e-05,
491
+ "loss": 4.3271,
492
+ "step": 2040
493
+ },
494
+ {
495
+ "epoch": 0.016870761106660803,
496
+ "grad_norm": 1.0737369060516357,
497
+ "learning_rate": 4.999774953217631e-05,
498
+ "loss": 4.3223,
499
+ "step": 2070
500
+ },
501
+ {
502
+ "epoch": 0.01711526489081531,
503
+ "grad_norm": 1.2367453575134277,
504
+ "learning_rate": 4.9997662706684345e-05,
505
+ "loss": 4.3106,
506
+ "step": 2100
507
+ },
508
+ {
509
+ "epoch": 0.01735976867496981,
510
+ "grad_norm": 1.0919674634933472,
511
+ "learning_rate": 4.999757423791107e-05,
512
+ "loss": 4.2916,
513
+ "step": 2130
514
+ },
515
+ {
516
+ "epoch": 0.017604272459124316,
517
+ "grad_norm": 1.2348527908325195,
518
+ "learning_rate": 4.9997484125862306e-05,
519
+ "loss": 4.2935,
520
+ "step": 2160
521
+ },
522
+ {
523
+ "epoch": 0.01784877624327882,
524
+ "grad_norm": 1.173093318939209,
525
+ "learning_rate": 4.999739237054395e-05,
526
+ "loss": 4.2761,
527
+ "step": 2190
528
+ },
529
+ {
530
+ "epoch": 0.018093280027433326,
531
+ "grad_norm": 1.1982988119125366,
532
+ "learning_rate": 4.9997298971962065e-05,
533
+ "loss": 4.2619,
534
+ "step": 2220
535
+ },
536
+ {
537
+ "epoch": 0.018337783811587828,
538
+ "grad_norm": 1.4401408433914185,
539
+ "learning_rate": 4.999720393012277e-05,
540
+ "loss": 4.2672,
541
+ "step": 2250
542
+ },
543
+ {
544
+ "epoch": 0.018582287595742333,
545
+ "grad_norm": 1.0311753749847412,
546
+ "learning_rate": 4.999710724503233e-05,
547
+ "loss": 4.2272,
548
+ "step": 2280
549
+ },
550
+ {
551
+ "epoch": 0.01882679137989684,
552
+ "grad_norm": 1.4242304563522339,
553
+ "learning_rate": 4.9997008916697075e-05,
554
+ "loss": 4.2415,
555
+ "step": 2310
556
+ },
557
+ {
558
+ "epoch": 0.01907129516405134,
559
+ "grad_norm": 1.039548397064209,
560
+ "learning_rate": 4.999690894512349e-05,
561
+ "loss": 4.2086,
562
+ "step": 2340
563
+ },
564
+ {
565
+ "epoch": 0.019315798948205846,
566
+ "grad_norm": 1.1213486194610596,
567
+ "learning_rate": 4.999680733031814e-05,
568
+ "loss": 4.2043,
569
+ "step": 2370
570
+ },
571
+ {
572
+ "epoch": 0.01956030273236035,
573
+ "grad_norm": 1.0591011047363281,
574
+ "learning_rate": 4.9996704072287716e-05,
575
+ "loss": 4.1894,
576
+ "step": 2400
577
+ },
578
+ {
579
+ "epoch": 0.019804806516514856,
580
+ "grad_norm": 1.0503829717636108,
581
+ "learning_rate": 4.9996599171038984e-05,
582
+ "loss": 4.184,
583
+ "step": 2430
584
+ },
585
+ {
586
+ "epoch": 0.020049310300669358,
587
+ "grad_norm": 1.068516492843628,
588
+ "learning_rate": 4.999649262657886e-05,
589
+ "loss": 4.1918,
590
+ "step": 2460
591
+ },
592
+ {
593
+ "epoch": 0.020293814084823864,
594
+ "grad_norm": 0.9620047211647034,
595
+ "learning_rate": 4.999638443891434e-05,
596
+ "loss": 4.182,
597
+ "step": 2490
598
+ },
599
+ {
600
+ "epoch": 0.02053831786897837,
601
+ "grad_norm": 0.9728343486785889,
602
+ "learning_rate": 4.999627460805253e-05,
603
+ "loss": 4.1746,
604
+ "step": 2520
605
+ },
606
+ {
607
+ "epoch": 0.020782821653132874,
608
+ "grad_norm": 0.990840494632721,
609
+ "learning_rate": 4.999616313400066e-05,
610
+ "loss": 4.1339,
611
+ "step": 2550
612
+ },
613
+ {
614
+ "epoch": 0.021027325437287376,
615
+ "grad_norm": 1.0678601264953613,
616
+ "learning_rate": 4.999605001676605e-05,
617
+ "loss": 4.1548,
618
+ "step": 2580
619
+ },
620
+ {
621
+ "epoch": 0.02127182922144188,
622
+ "grad_norm": 1.1837236881256104,
623
+ "learning_rate": 4.9995935256356144e-05,
624
+ "loss": 4.1508,
625
+ "step": 2610
626
+ },
627
+ {
628
+ "epoch": 0.021516333005596387,
629
+ "grad_norm": 1.0381749868392944,
630
+ "learning_rate": 4.9995818852778476e-05,
631
+ "loss": 4.0977,
632
+ "step": 2640
633
+ },
634
+ {
635
+ "epoch": 0.021760836789750892,
636
+ "grad_norm": 0.9649094343185425,
637
+ "learning_rate": 4.999570080604071e-05,
638
+ "loss": 4.1405,
639
+ "step": 2670
640
+ },
641
+ {
642
+ "epoch": 0.022005340573905394,
643
+ "grad_norm": 1.1858196258544922,
644
+ "learning_rate": 4.99955811161506e-05,
645
+ "loss": 4.1242,
646
+ "step": 2700
647
+ },
648
+ {
649
+ "epoch": 0.0222498443580599,
650
+ "grad_norm": 1.035134196281433,
651
+ "learning_rate": 4.9995459783116004e-05,
652
+ "loss": 4.1042,
653
+ "step": 2730
654
+ },
655
+ {
656
+ "epoch": 0.022494348142214404,
657
+ "grad_norm": 1.0874470472335815,
658
+ "learning_rate": 4.999533680694493e-05,
659
+ "loss": 4.0951,
660
+ "step": 2760
661
+ },
662
+ {
663
+ "epoch": 0.02273885192636891,
664
+ "grad_norm": 1.5923190116882324,
665
+ "learning_rate": 4.9995212187645416e-05,
666
+ "loss": 4.1031,
667
+ "step": 2790
668
+ },
669
+ {
670
+ "epoch": 0.02298335571052341,
671
+ "grad_norm": 0.935354471206665,
672
+ "learning_rate": 4.9995085925225693e-05,
673
+ "loss": 4.0804,
674
+ "step": 2820
675
+ },
676
+ {
677
+ "epoch": 0.023227859494677917,
678
+ "grad_norm": 1.6059459447860718,
679
+ "learning_rate": 4.999495801969404e-05,
680
+ "loss": 4.0703,
681
+ "step": 2850
682
+ },
683
+ {
684
+ "epoch": 0.023472363278832422,
685
+ "grad_norm": 1.1116045713424683,
686
+ "learning_rate": 4.9994828471058876e-05,
687
+ "loss": 4.0579,
688
+ "step": 2880
689
+ },
690
+ {
691
+ "epoch": 0.023716867062986924,
692
+ "grad_norm": 1.0068392753601074,
693
+ "learning_rate": 4.9994697279328714e-05,
694
+ "loss": 4.0635,
695
+ "step": 2910
696
+ },
697
+ {
698
+ "epoch": 0.02396137084714143,
699
+ "grad_norm": 0.9715657234191895,
700
+ "learning_rate": 4.9994564444512176e-05,
701
+ "loss": 4.068,
702
+ "step": 2940
703
+ },
704
+ {
705
+ "epoch": 0.024205874631295934,
706
+ "grad_norm": 1.1550418138504028,
707
+ "learning_rate": 4.9994429966618e-05,
708
+ "loss": 4.0416,
709
+ "step": 2970
710
+ },
711
+ {
712
+ "epoch": 0.02445037841545044,
713
+ "grad_norm": 1.1463241577148438,
714
+ "learning_rate": 4.999429384565502e-05,
715
+ "loss": 4.0224,
716
+ "step": 3000
717
+ },
718
+ {
719
+ "epoch": 0.02469488219960494,
720
+ "grad_norm": 0.9614786505699158,
721
+ "learning_rate": 4.999415608163217e-05,
722
+ "loss": 4.0092,
723
+ "step": 3030
724
+ },
725
+ {
726
+ "epoch": 0.024939385983759447,
727
+ "grad_norm": 1.0928614139556885,
728
+ "learning_rate": 4.999401667455854e-05,
729
+ "loss": 4.0083,
730
+ "step": 3060
731
+ },
732
+ {
733
+ "epoch": 0.025183889767913952,
734
+ "grad_norm": 1.0884851217269897,
735
+ "learning_rate": 4.9993875624443274e-05,
736
+ "loss": 4.0251,
737
+ "step": 3090
738
+ },
739
+ {
740
+ "epoch": 0.025428393552068457,
741
+ "grad_norm": 1.0158635377883911,
742
+ "learning_rate": 4.9993732931295646e-05,
743
+ "loss": 3.9629,
744
+ "step": 3120
745
+ },
746
+ {
747
+ "epoch": 0.02567289733622296,
748
+ "grad_norm": 1.0032926797866821,
749
+ "learning_rate": 4.999358859512503e-05,
750
+ "loss": 4.0015,
751
+ "step": 3150
752
+ },
753
+ {
754
+ "epoch": 0.025917401120377465,
755
+ "grad_norm": 0.9303460121154785,
756
+ "learning_rate": 4.9993442615940936e-05,
757
+ "loss": 4.0066,
758
+ "step": 3180
759
+ },
760
+ {
761
+ "epoch": 0.02616190490453197,
762
+ "grad_norm": 1.0750280618667603,
763
+ "learning_rate": 4.999329499375292e-05,
764
+ "loss": 3.9937,
765
+ "step": 3210
766
+ },
767
+ {
768
+ "epoch": 0.026406408688686475,
769
+ "grad_norm": 1.2123857736587524,
770
+ "learning_rate": 4.999314572857074e-05,
771
+ "loss": 3.9891,
772
+ "step": 3240
773
+ },
774
+ {
775
+ "epoch": 0.026650912472840977,
776
+ "grad_norm": 0.988030731678009,
777
+ "learning_rate": 4.9992994820404174e-05,
778
+ "loss": 3.9779,
779
+ "step": 3270
780
+ },
781
+ {
782
+ "epoch": 0.026895416256995482,
783
+ "grad_norm": 1.0025092363357544,
784
+ "learning_rate": 4.999284226926314e-05,
785
+ "loss": 3.9684,
786
+ "step": 3300
787
+ },
788
+ {
789
+ "epoch": 0.027139920041149988,
790
+ "grad_norm": 0.9497402310371399,
791
+ "learning_rate": 4.999268807515768e-05,
792
+ "loss": 3.9542,
793
+ "step": 3330
794
+ },
795
+ {
796
+ "epoch": 0.027384423825304493,
797
+ "grad_norm": 0.9898300766944885,
798
+ "learning_rate": 4.999253223809792e-05,
799
+ "loss": 3.9462,
800
+ "step": 3360
801
+ },
802
+ {
803
+ "epoch": 0.027628927609458995,
804
+ "grad_norm": 0.8951054215431213,
805
+ "learning_rate": 4.999237475809411e-05,
806
+ "loss": 3.9535,
807
+ "step": 3390
808
+ },
809
+ {
810
+ "epoch": 0.0278734313936135,
811
+ "grad_norm": 1.1410372257232666,
812
+ "learning_rate": 4.99922156351566e-05,
813
+ "loss": 3.9701,
814
+ "step": 3420
815
+ },
816
+ {
817
+ "epoch": 0.028117935177768005,
818
+ "grad_norm": 0.9642576575279236,
819
+ "learning_rate": 4.999205486929586e-05,
820
+ "loss": 3.9532,
821
+ "step": 3450
822
+ },
823
+ {
824
+ "epoch": 0.028362438961922507,
825
+ "grad_norm": 0.9304039478302002,
826
+ "learning_rate": 4.999189246052245e-05,
827
+ "loss": 3.9335,
828
+ "step": 3480
829
+ },
830
+ {
831
+ "epoch": 0.028606942746077012,
832
+ "grad_norm": 0.9684301614761353,
833
+ "learning_rate": 4.999172840884704e-05,
834
+ "loss": 3.9289,
835
+ "step": 3510
836
+ },
837
+ {
838
+ "epoch": 0.028851446530231518,
839
+ "grad_norm": 0.9566449522972107,
840
+ "learning_rate": 4.999156271428043e-05,
841
+ "loss": 3.92,
842
+ "step": 3540
843
+ },
844
+ {
845
+ "epoch": 0.029095950314386023,
846
+ "grad_norm": 0.9796332120895386,
847
+ "learning_rate": 4.9991395376833496e-05,
848
+ "loss": 3.9173,
849
+ "step": 3570
850
+ },
851
+ {
852
+ "epoch": 0.029340454098540525,
853
+ "grad_norm": 0.939052164554596,
854
+ "learning_rate": 4.999122639651725e-05,
855
+ "loss": 3.8938,
856
+ "step": 3600
857
+ },
858
+ {
859
+ "epoch": 0.02958495788269503,
860
+ "grad_norm": 0.8773409724235535,
861
+ "learning_rate": 4.9991055773342795e-05,
862
+ "loss": 3.9225,
863
+ "step": 3630
864
+ },
865
+ {
866
+ "epoch": 0.029829461666849535,
867
+ "grad_norm": 0.9443736672401428,
868
+ "learning_rate": 4.9990883507321354e-05,
869
+ "loss": 3.8889,
870
+ "step": 3660
871
+ },
872
+ {
873
+ "epoch": 0.03007396545100404,
874
+ "grad_norm": 0.9129781723022461,
875
+ "learning_rate": 4.999070959846424e-05,
876
+ "loss": 3.894,
877
+ "step": 3690
878
+ },
879
+ {
880
+ "epoch": 0.030318469235158543,
881
+ "grad_norm": 0.988441526889801,
882
+ "learning_rate": 4.999053404678289e-05,
883
+ "loss": 3.8968,
884
+ "step": 3720
885
+ },
886
+ {
887
+ "epoch": 0.030562973019313048,
888
+ "grad_norm": 1.0134508609771729,
889
+ "learning_rate": 4.999035685228884e-05,
890
+ "loss": 3.873,
891
+ "step": 3750
892
+ },
893
+ {
894
+ "epoch": 0.030807476803467553,
895
+ "grad_norm": 0.9853084087371826,
896
+ "learning_rate": 4.999017801499375e-05,
897
+ "loss": 3.8921,
898
+ "step": 3780
899
+ },
900
+ {
901
+ "epoch": 0.03105198058762206,
902
+ "grad_norm": 1.0263316631317139,
903
+ "learning_rate": 4.998999753490937e-05,
904
+ "loss": 3.8691,
905
+ "step": 3810
906
+ },
907
+ {
908
+ "epoch": 0.03129648437177656,
909
+ "grad_norm": 1.2496927976608276,
910
+ "learning_rate": 4.998981541204757e-05,
911
+ "loss": 3.8631,
912
+ "step": 3840
913
+ },
914
+ {
915
+ "epoch": 0.031540988155931066,
916
+ "grad_norm": 1.2647733688354492,
917
+ "learning_rate": 4.998963164642031e-05,
918
+ "loss": 3.8676,
919
+ "step": 3870
920
+ },
921
+ {
922
+ "epoch": 0.03178549194008557,
923
+ "grad_norm": 0.8532811403274536,
924
+ "learning_rate": 4.9989446238039676e-05,
925
+ "loss": 3.8196,
926
+ "step": 3900
927
+ },
928
+ {
929
+ "epoch": 0.032029995724240076,
930
+ "grad_norm": 0.9394932985305786,
931
+ "learning_rate": 4.998925918691786e-05,
932
+ "loss": 3.8464,
933
+ "step": 3930
934
+ },
935
+ {
936
+ "epoch": 0.03227449950839458,
937
+ "grad_norm": 0.9216808676719666,
938
+ "learning_rate": 4.998907049306715e-05,
939
+ "loss": 3.8294,
940
+ "step": 3960
941
+ },
942
+ {
943
+ "epoch": 0.03251900329254909,
944
+ "grad_norm": 0.9735797047615051,
945
+ "learning_rate": 4.998888015649996e-05,
946
+ "loss": 3.8412,
947
+ "step": 3990
948
+ },
949
+ {
950
+ "epoch": 0.032763507076703585,
951
+ "grad_norm": 0.9803655743598938,
952
+ "learning_rate": 4.99886881772288e-05,
953
+ "loss": 3.834,
954
+ "step": 4020
955
+ },
956
+ {
957
+ "epoch": 0.03300801086085809,
958
+ "grad_norm": 0.8677938580513,
959
+ "learning_rate": 4.998849455526628e-05,
960
+ "loss": 3.8325,
961
+ "step": 4050
962
+ },
963
+ {
964
+ "epoch": 0.033252514645012596,
965
+ "grad_norm": 1.0530720949172974,
966
+ "learning_rate": 4.998829929062515e-05,
967
+ "loss": 3.8125,
968
+ "step": 4080
969
+ },
970
+ {
971
+ "epoch": 0.0334970184291671,
972
+ "grad_norm": 0.9517835378646851,
973
+ "learning_rate": 4.998810238331822e-05,
974
+ "loss": 3.8079,
975
+ "step": 4110
976
+ },
977
+ {
978
+ "epoch": 0.033741522213321606,
979
+ "grad_norm": 0.9056320190429688,
980
+ "learning_rate": 4.998790383335845e-05,
981
+ "loss": 3.8023,
982
+ "step": 4140
983
+ },
984
+ {
985
+ "epoch": 0.03398602599747611,
986
+ "grad_norm": 1.042631983757019,
987
+ "learning_rate": 4.9987703640758894e-05,
988
+ "loss": 3.8089,
989
+ "step": 4170
990
+ },
991
+ {
992
+ "epoch": 0.03423052978163062,
993
+ "grad_norm": 1.003548502922058,
994
+ "learning_rate": 4.99875018055327e-05,
995
+ "loss": 3.8088,
996
+ "step": 4200
997
+ },
998
+ {
999
+ "epoch": 0.034475033565785115,
1000
+ "grad_norm": 0.9754064083099365,
1001
+ "learning_rate": 4.998729832769315e-05,
1002
+ "loss": 3.7969,
1003
+ "step": 4230
1004
+ },
1005
+ {
1006
+ "epoch": 0.03471953734993962,
1007
+ "grad_norm": 0.9784180521965027,
1008
+ "learning_rate": 4.998709320725361e-05,
1009
+ "loss": 3.8066,
1010
+ "step": 4260
1011
+ },
1012
+ {
1013
+ "epoch": 0.034964041134094126,
1014
+ "grad_norm": 0.9522731900215149,
1015
+ "learning_rate": 4.998688644422756e-05,
1016
+ "loss": 3.8062,
1017
+ "step": 4290
1018
+ },
1019
+ {
1020
+ "epoch": 0.03520854491824863,
1021
+ "grad_norm": 1.0362435579299927,
1022
+ "learning_rate": 4.998667803862861e-05,
1023
+ "loss": 3.8007,
1024
+ "step": 4320
1025
+ },
1026
+ {
1027
+ "epoch": 0.03545304870240314,
1028
+ "grad_norm": 0.899608850479126,
1029
+ "learning_rate": 4.9986467990470445e-05,
1030
+ "loss": 3.8013,
1031
+ "step": 4350
1032
+ },
1033
+ {
1034
+ "epoch": 0.03569755248655764,
1035
+ "grad_norm": 0.9725902676582336,
1036
+ "learning_rate": 4.998625629976688e-05,
1037
+ "loss": 3.7688,
1038
+ "step": 4380
1039
+ },
1040
+ {
1041
+ "epoch": 0.03594205627071215,
1042
+ "grad_norm": 0.9904030561447144,
1043
+ "learning_rate": 4.998604296653182e-05,
1044
+ "loss": 3.7503,
1045
+ "step": 4410
1046
+ },
1047
+ {
1048
+ "epoch": 0.03618656005486665,
1049
+ "grad_norm": 0.9177742004394531,
1050
+ "learning_rate": 4.99858279907793e-05,
1051
+ "loss": 3.7664,
1052
+ "step": 4440
1053
+ },
1054
+ {
1055
+ "epoch": 0.03643106383902115,
1056
+ "grad_norm": 0.964356005191803,
1057
+ "learning_rate": 4.998561137252346e-05,
1058
+ "loss": 3.7574,
1059
+ "step": 4470
1060
+ },
1061
+ {
1062
+ "epoch": 0.036675567623175656,
1063
+ "grad_norm": 1.0006535053253174,
1064
+ "learning_rate": 4.9985393111778525e-05,
1065
+ "loss": 3.7616,
1066
+ "step": 4500
1067
+ },
1068
+ {
1069
+ "epoch": 0.03692007140733016,
1070
+ "grad_norm": 0.9334198236465454,
1071
+ "learning_rate": 4.998517320855884e-05,
1072
+ "loss": 3.776,
1073
+ "step": 4530
1074
+ },
1075
+ {
1076
+ "epoch": 0.03716457519148467,
1077
+ "grad_norm": 0.9192038774490356,
1078
+ "learning_rate": 4.998495166287887e-05,
1079
+ "loss": 3.7552,
1080
+ "step": 4560
1081
+ },
1082
+ {
1083
+ "epoch": 0.03740907897563917,
1084
+ "grad_norm": 0.9278284311294556,
1085
+ "learning_rate": 4.998472847475318e-05,
1086
+ "loss": 3.7508,
1087
+ "step": 4590
1088
+ },
1089
+ {
1090
+ "epoch": 0.03765358275979368,
1091
+ "grad_norm": 0.870951771736145,
1092
+ "learning_rate": 4.998450364419643e-05,
1093
+ "loss": 3.7419,
1094
+ "step": 4620
1095
+ },
1096
+ {
1097
+ "epoch": 0.03789808654394818,
1098
+ "grad_norm": 0.8986937403678894,
1099
+ "learning_rate": 4.998427717122342e-05,
1100
+ "loss": 3.7285,
1101
+ "step": 4650
1102
+ },
1103
+ {
1104
+ "epoch": 0.03814259032810268,
1105
+ "grad_norm": 0.8922073841094971,
1106
+ "learning_rate": 4.9984049055849024e-05,
1107
+ "loss": 3.7252,
1108
+ "step": 4680
1109
+ },
1110
+ {
1111
+ "epoch": 0.038387094112257186,
1112
+ "grad_norm": 0.8716844916343689,
1113
+ "learning_rate": 4.9983819298088234e-05,
1114
+ "loss": 3.7243,
1115
+ "step": 4710
1116
+ },
1117
+ {
1118
+ "epoch": 0.03863159789641169,
1119
+ "grad_norm": 0.9074581861495972,
1120
+ "learning_rate": 4.9983587897956166e-05,
1121
+ "loss": 3.7254,
1122
+ "step": 4740
1123
+ },
1124
+ {
1125
+ "epoch": 0.0388761016805662,
1126
+ "grad_norm": 0.8903953433036804,
1127
+ "learning_rate": 4.998335485546802e-05,
1128
+ "loss": 3.7363,
1129
+ "step": 4770
1130
+ },
1131
+ {
1132
+ "epoch": 0.0391206054647207,
1133
+ "grad_norm": 1.0858160257339478,
1134
+ "learning_rate": 4.998312017063912e-05,
1135
+ "loss": 3.708,
1136
+ "step": 4800
1137
+ },
1138
+ {
1139
+ "epoch": 0.03936510924887521,
1140
+ "grad_norm": 1.1008403301239014,
1141
+ "learning_rate": 4.9982883843484895e-05,
1142
+ "loss": 3.727,
1143
+ "step": 4830
1144
+ },
1145
+ {
1146
+ "epoch": 0.03960961303302971,
1147
+ "grad_norm": 0.9895632863044739,
1148
+ "learning_rate": 4.998264587402088e-05,
1149
+ "loss": 3.7383,
1150
+ "step": 4860
1151
+ },
1152
+ {
1153
+ "epoch": 0.03985411681718422,
1154
+ "grad_norm": 1.0174016952514648,
1155
+ "learning_rate": 4.9982406262262726e-05,
1156
+ "loss": 3.6967,
1157
+ "step": 4890
1158
+ },
1159
+ {
1160
+ "epoch": 0.040098620601338716,
1161
+ "grad_norm": 0.9164692163467407,
1162
+ "learning_rate": 4.9982165008226175e-05,
1163
+ "loss": 3.7038,
1164
+ "step": 4920
1165
+ },
1166
+ {
1167
+ "epoch": 0.04034312438549322,
1168
+ "grad_norm": 0.8442469835281372,
1169
+ "learning_rate": 4.998192211192708e-05,
1170
+ "loss": 3.7045,
1171
+ "step": 4950
1172
+ },
1173
+ {
1174
+ "epoch": 0.04058762816964773,
1175
+ "grad_norm": 0.9134944677352905,
1176
+ "learning_rate": 4.9981677573381423e-05,
1177
+ "loss": 3.6909,
1178
+ "step": 4980
1179
+ },
1180
+ {
1181
+ "epoch": 0.04083213195380223,
1182
+ "grad_norm": 0.9397178292274475,
1183
+ "learning_rate": 4.9981431392605274e-05,
1184
+ "loss": 3.7087,
1185
+ "step": 5010
1186
+ },
1187
+ {
1188
+ "epoch": 0.04107663573795674,
1189
+ "grad_norm": 1.1442530155181885,
1190
+ "learning_rate": 4.998118356961481e-05,
1191
+ "loss": 3.6804,
1192
+ "step": 5040
1193
+ },
1194
+ {
1195
+ "epoch": 0.04132113952211124,
1196
+ "grad_norm": 0.8651236891746521,
1197
+ "learning_rate": 4.998093410442632e-05,
1198
+ "loss": 3.668,
1199
+ "step": 5070
1200
+ },
1201
+ {
1202
+ "epoch": 0.04156564330626575,
1203
+ "grad_norm": 1.0404279232025146,
1204
+ "learning_rate": 4.998068299705623e-05,
1205
+ "loss": 3.673,
1206
+ "step": 5100
1207
+ },
1208
+ {
1209
+ "epoch": 0.041810147090420254,
1210
+ "grad_norm": 0.9545896053314209,
1211
+ "learning_rate": 4.9980430247521014e-05,
1212
+ "loss": 3.6635,
1213
+ "step": 5130
1214
+ },
1215
+ {
1216
+ "epoch": 0.04205465087457475,
1217
+ "grad_norm": 0.9344103932380676,
1218
+ "learning_rate": 4.998017585583731e-05,
1219
+ "loss": 3.6834,
1220
+ "step": 5160
1221
+ },
1222
+ {
1223
+ "epoch": 0.04229915465872926,
1224
+ "grad_norm": 1.0414049625396729,
1225
+ "learning_rate": 4.9979919822021824e-05,
1226
+ "loss": 3.6868,
1227
+ "step": 5190
1228
+ },
1229
+ {
1230
+ "epoch": 0.04254365844288376,
1231
+ "grad_norm": 0.9391636252403259,
1232
+ "learning_rate": 4.99796621460914e-05,
1233
+ "loss": 3.6671,
1234
+ "step": 5220
1235
+ },
1236
+ {
1237
+ "epoch": 0.04278816222703827,
1238
+ "grad_norm": 0.8789961934089661,
1239
+ "learning_rate": 4.9979402828062963e-05,
1240
+ "loss": 3.6575,
1241
+ "step": 5250
1242
+ },
1243
+ {
1244
+ "epoch": 0.04303266601119277,
1245
+ "grad_norm": 0.8953958749771118,
1246
+ "learning_rate": 4.997914186795358e-05,
1247
+ "loss": 3.6741,
1248
+ "step": 5280
1249
+ },
1250
+ {
1251
+ "epoch": 0.04327716979534728,
1252
+ "grad_norm": 0.8470034003257751,
1253
+ "learning_rate": 4.9978879265780385e-05,
1254
+ "loss": 3.6517,
1255
+ "step": 5310
1256
+ },
1257
+ {
1258
+ "epoch": 0.043521673579501784,
1259
+ "grad_norm": 0.8863801956176758,
1260
+ "learning_rate": 4.997861502156066e-05,
1261
+ "loss": 3.6667,
1262
+ "step": 5340
1263
+ },
1264
+ {
1265
+ "epoch": 0.04376617736365628,
1266
+ "grad_norm": 0.9392006993293762,
1267
+ "learning_rate": 4.997834913531176e-05,
1268
+ "loss": 3.6278,
1269
+ "step": 5370
1270
+ },
1271
+ {
1272
+ "epoch": 0.04401068114781079,
1273
+ "grad_norm": 0.8935637474060059,
1274
+ "learning_rate": 4.9978081607051176e-05,
1275
+ "loss": 3.6656,
1276
+ "step": 5400
1277
+ },
1278
+ {
1279
+ "epoch": 0.04425518493196529,
1280
+ "grad_norm": 0.9051403403282166,
1281
+ "learning_rate": 4.997781243679648e-05,
1282
+ "loss": 3.6439,
1283
+ "step": 5430
1284
+ },
1285
+ {
1286
+ "epoch": 0.0444996887161198,
1287
+ "grad_norm": 0.9147741794586182,
1288
+ "learning_rate": 4.9977541624565374e-05,
1289
+ "loss": 3.6362,
1290
+ "step": 5460
1291
+ },
1292
+ {
1293
+ "epoch": 0.0447441925002743,
1294
+ "grad_norm": 0.8926962614059448,
1295
+ "learning_rate": 4.9977269170375665e-05,
1296
+ "loss": 3.6179,
1297
+ "step": 5490
1298
+ },
1299
+ {
1300
+ "epoch": 0.04498869628442881,
1301
+ "grad_norm": 0.9078648686408997,
1302
+ "learning_rate": 4.997699507424526e-05,
1303
+ "loss": 3.6323,
1304
+ "step": 5520
1305
+ },
1306
+ {
1307
+ "epoch": 0.045233200068583314,
1308
+ "grad_norm": 0.8844118118286133,
1309
+ "learning_rate": 4.997671933619218e-05,
1310
+ "loss": 3.6219,
1311
+ "step": 5550
1312
+ },
1313
+ {
1314
+ "epoch": 0.04547770385273782,
1315
+ "grad_norm": 0.9098038077354431,
1316
+ "learning_rate": 4.9976441956234546e-05,
1317
+ "loss": 3.6341,
1318
+ "step": 5580
1319
+ },
1320
+ {
1321
+ "epoch": 0.04572220763689232,
1322
+ "grad_norm": 0.8704332709312439,
1323
+ "learning_rate": 4.99761629343906e-05,
1324
+ "loss": 3.6038,
1325
+ "step": 5610
1326
+ },
1327
+ {
1328
+ "epoch": 0.04596671142104682,
1329
+ "grad_norm": 0.9353320002555847,
1330
+ "learning_rate": 4.9975882270678676e-05,
1331
+ "loss": 3.6171,
1332
+ "step": 5640
1333
+ },
1334
+ {
1335
+ "epoch": 0.04621121520520133,
1336
+ "grad_norm": 1.0025008916854858,
1337
+ "learning_rate": 4.997559996511723e-05,
1338
+ "loss": 3.6084,
1339
+ "step": 5670
1340
+ },
1341
+ {
1342
+ "epoch": 0.04645571898935583,
1343
+ "grad_norm": 0.8339236974716187,
1344
+ "learning_rate": 4.997531601772481e-05,
1345
+ "loss": 3.6271,
1346
+ "step": 5700
1347
+ },
1348
+ {
1349
+ "epoch": 0.04670022277351034,
1350
+ "grad_norm": 0.8991410136222839,
1351
+ "learning_rate": 4.9975030428520084e-05,
1352
+ "loss": 3.5897,
1353
+ "step": 5730
1354
+ },
1355
+ {
1356
+ "epoch": 0.046944726557664844,
1357
+ "grad_norm": 0.8854517936706543,
1358
+ "learning_rate": 4.997474319752184e-05,
1359
+ "loss": 3.603,
1360
+ "step": 5760
1361
+ },
1362
+ {
1363
+ "epoch": 0.04718923034181935,
1364
+ "grad_norm": 0.9445385932922363,
1365
+ "learning_rate": 4.997445432474895e-05,
1366
+ "loss": 3.6084,
1367
+ "step": 5790
1368
+ },
1369
+ {
1370
+ "epoch": 0.04743373412597385,
1371
+ "grad_norm": 0.871096134185791,
1372
+ "learning_rate": 4.9974163810220406e-05,
1373
+ "loss": 3.5892,
1374
+ "step": 5820
1375
+ },
1376
+ {
1377
+ "epoch": 0.04767823791012835,
1378
+ "grad_norm": 0.8828051686286926,
1379
+ "learning_rate": 4.99738716539553e-05,
1380
+ "loss": 3.6075,
1381
+ "step": 5850
1382
+ },
1383
+ {
1384
+ "epoch": 0.04792274169428286,
1385
+ "grad_norm": 0.8362672328948975,
1386
+ "learning_rate": 4.997357785597284e-05,
1387
+ "loss": 3.5772,
1388
+ "step": 5880
1389
+ },
1390
+ {
1391
+ "epoch": 0.048167245478437364,
1392
+ "grad_norm": 0.9075796008110046,
1393
+ "learning_rate": 4.997328241629234e-05,
1394
+ "loss": 3.5881,
1395
+ "step": 5910
1396
+ },
1397
+ {
1398
+ "epoch": 0.04841174926259187,
1399
+ "grad_norm": 0.9475303888320923,
1400
+ "learning_rate": 4.997298533493323e-05,
1401
+ "loss": 3.5963,
1402
+ "step": 5940
1403
+ },
1404
+ {
1405
+ "epoch": 0.048656253046746374,
1406
+ "grad_norm": 0.807908296585083,
1407
+ "learning_rate": 4.997268661191503e-05,
1408
+ "loss": 3.5776,
1409
+ "step": 5970
1410
+ },
1411
+ {
1412
+ "epoch": 0.04890075683090088,
1413
+ "grad_norm": 0.9100547432899475,
1414
+ "learning_rate": 4.9972386247257385e-05,
1415
+ "loss": 3.5924,
1416
+ "step": 6000
1417
+ },
1418
+ {
1419
+ "epoch": 0.049145260615055385,
1420
+ "grad_norm": 0.79295814037323,
1421
+ "learning_rate": 4.9972084240980025e-05,
1422
+ "loss": 3.5603,
1423
+ "step": 6030
1424
+ },
1425
+ {
1426
+ "epoch": 0.04938976439920988,
1427
+ "grad_norm": 0.8548495173454285,
1428
+ "learning_rate": 4.997178059310281e-05,
1429
+ "loss": 3.5624,
1430
+ "step": 6060
1431
+ },
1432
+ {
1433
+ "epoch": 0.04963426818336439,
1434
+ "grad_norm": 0.8862835168838501,
1435
+ "learning_rate": 4.997147530364571e-05,
1436
+ "loss": 3.5738,
1437
+ "step": 6090
1438
+ },
1439
+ {
1440
+ "epoch": 0.049878771967518894,
1441
+ "grad_norm": 1.0974136590957642,
1442
+ "learning_rate": 4.9971168372628793e-05,
1443
+ "loss": 3.5549,
1444
+ "step": 6120
1445
+ },
1446
+ {
1447
+ "epoch": 0.0501232757516734,
1448
+ "grad_norm": 0.9224910140037537,
1449
+ "learning_rate": 4.997085980007222e-05,
1450
+ "loss": 3.5632,
1451
+ "step": 6150
1452
+ },
1453
+ {
1454
+ "epoch": 0.050367779535827904,
1455
+ "grad_norm": 0.8416465520858765,
1456
+ "learning_rate": 4.99705495859963e-05,
1457
+ "loss": 3.5605,
1458
+ "step": 6180
1459
+ },
1460
+ {
1461
+ "epoch": 0.05061228331998241,
1462
+ "grad_norm": 0.9750398993492126,
1463
+ "learning_rate": 4.99702377304214e-05,
1464
+ "loss": 3.5652,
1465
+ "step": 6210
1466
+ },
1467
+ {
1468
+ "epoch": 0.050856787104136915,
1469
+ "grad_norm": 1.0585671663284302,
1470
+ "learning_rate": 4.9969924233368036e-05,
1471
+ "loss": 3.5605,
1472
+ "step": 6240
1473
+ },
1474
+ {
1475
+ "epoch": 0.05110129088829142,
1476
+ "grad_norm": 1.0180178880691528,
1477
+ "learning_rate": 4.996960909485681e-05,
1478
+ "loss": 3.5543,
1479
+ "step": 6270
1480
+ },
1481
+ {
1482
+ "epoch": 0.05134579467244592,
1483
+ "grad_norm": 0.8081057667732239,
1484
+ "learning_rate": 4.9969292314908446e-05,
1485
+ "loss": 3.5551,
1486
+ "step": 6300
1487
+ },
1488
+ {
1489
+ "epoch": 0.051590298456600424,
1490
+ "grad_norm": 0.8196061253547668,
1491
+ "learning_rate": 4.996897389354376e-05,
1492
+ "loss": 3.5566,
1493
+ "step": 6330
1494
+ },
1495
+ {
1496
+ "epoch": 0.05183480224075493,
1497
+ "grad_norm": 0.9229000806808472,
1498
+ "learning_rate": 4.9968653830783684e-05,
1499
+ "loss": 3.5439,
1500
+ "step": 6360
1501
+ },
1502
+ {
1503
+ "epoch": 0.052079306024909434,
1504
+ "grad_norm": 0.8422220945358276,
1505
+ "learning_rate": 4.996833212664927e-05,
1506
+ "loss": 3.5413,
1507
+ "step": 6390
1508
+ },
1509
+ {
1510
+ "epoch": 0.05232380980906394,
1511
+ "grad_norm": 0.9290680885314941,
1512
+ "learning_rate": 4.996800878116166e-05,
1513
+ "loss": 3.5245,
1514
+ "step": 6420
1515
+ },
1516
+ {
1517
+ "epoch": 0.052568313593218445,
1518
+ "grad_norm": 0.7990279793739319,
1519
+ "learning_rate": 4.99676837943421e-05,
1520
+ "loss": 3.5519,
1521
+ "step": 6450
1522
+ },
1523
+ {
1524
+ "epoch": 0.05281281737737295,
1525
+ "grad_norm": 0.8968884348869324,
1526
+ "learning_rate": 4.996735716621196e-05,
1527
+ "loss": 3.5306,
1528
+ "step": 6480
1529
+ },
1530
+ {
1531
+ "epoch": 0.05305732116152745,
1532
+ "grad_norm": 0.8280816674232483,
1533
+ "learning_rate": 4.996702889679272e-05,
1534
+ "loss": 3.5407,
1535
+ "step": 6510
1536
+ },
1537
+ {
1538
+ "epoch": 0.053301824945681954,
1539
+ "grad_norm": 0.9637565612792969,
1540
+ "learning_rate": 4.996669898610595e-05,
1541
+ "loss": 3.5361,
1542
+ "step": 6540
1543
+ },
1544
+ {
1545
+ "epoch": 0.05354632872983646,
1546
+ "grad_norm": 0.8355570435523987,
1547
+ "learning_rate": 4.996636743417334e-05,
1548
+ "loss": 3.5215,
1549
+ "step": 6570
1550
+ },
1551
+ {
1552
+ "epoch": 0.053790832513990965,
1553
+ "grad_norm": 0.7987068295478821,
1554
+ "learning_rate": 4.996603424101669e-05,
1555
+ "loss": 3.5135,
1556
+ "step": 6600
1557
+ },
1558
+ {
1559
+ "epoch": 0.05403533629814547,
1560
+ "grad_norm": 0.8417894840240479,
1561
+ "learning_rate": 4.996569940665789e-05,
1562
+ "loss": 3.5254,
1563
+ "step": 6630
1564
+ },
1565
+ {
1566
+ "epoch": 0.054279840082299975,
1567
+ "grad_norm": 0.8814358115196228,
1568
+ "learning_rate": 4.996536293111896e-05,
1569
+ "loss": 3.5091,
1570
+ "step": 6660
1571
+ },
1572
+ {
1573
+ "epoch": 0.05452434386645448,
1574
+ "grad_norm": 0.8625611662864685,
1575
+ "learning_rate": 4.996502481442202e-05,
1576
+ "loss": 3.5207,
1577
+ "step": 6690
1578
+ },
1579
+ {
1580
+ "epoch": 0.054768847650608986,
1581
+ "grad_norm": 0.8265979886054993,
1582
+ "learning_rate": 4.9964685056589314e-05,
1583
+ "loss": 3.5011,
1584
+ "step": 6720
1585
+ },
1586
+ {
1587
+ "epoch": 0.055013351434763484,
1588
+ "grad_norm": 0.8092629313468933,
1589
+ "learning_rate": 4.996434365764314e-05,
1590
+ "loss": 3.4897,
1591
+ "step": 6750
1592
+ },
1593
+ {
1594
+ "epoch": 0.05525785521891799,
1595
+ "grad_norm": 0.917871356010437,
1596
+ "learning_rate": 4.996400061760597e-05,
1597
+ "loss": 3.5188,
1598
+ "step": 6780
1599
+ },
1600
+ {
1601
+ "epoch": 0.055502359003072495,
1602
+ "grad_norm": 0.8477138876914978,
1603
+ "learning_rate": 4.996365593650033e-05,
1604
+ "loss": 3.5142,
1605
+ "step": 6810
1606
+ },
1607
+ {
1608
+ "epoch": 0.055746862787227,
1609
+ "grad_norm": 0.7970532178878784,
1610
+ "learning_rate": 4.99633096143489e-05,
1611
+ "loss": 3.5112,
1612
+ "step": 6840
1613
+ },
1614
+ {
1615
+ "epoch": 0.055991366571381505,
1616
+ "grad_norm": 0.8973976969718933,
1617
+ "learning_rate": 4.9962961651174436e-05,
1618
+ "loss": 3.5156,
1619
+ "step": 6870
1620
+ },
1621
+ {
1622
+ "epoch": 0.05623587035553601,
1623
+ "grad_norm": 0.962066113948822,
1624
+ "learning_rate": 4.9962612046999827e-05,
1625
+ "loss": 3.4848,
1626
+ "step": 6900
1627
+ },
1628
+ {
1629
+ "epoch": 0.056480374139690516,
1630
+ "grad_norm": 0.9020524621009827,
1631
+ "learning_rate": 4.996226080184803e-05,
1632
+ "loss": 3.503,
1633
+ "step": 6930
1634
+ },
1635
+ {
1636
+ "epoch": 0.056724877923845014,
1637
+ "grad_norm": 0.8064045906066895,
1638
+ "learning_rate": 4.996190791574215e-05,
1639
+ "loss": 3.4982,
1640
+ "step": 6960
1641
+ },
1642
+ {
1643
+ "epoch": 0.05696938170799952,
1644
+ "grad_norm": 0.8507282733917236,
1645
+ "learning_rate": 4.996155338870538e-05,
1646
+ "loss": 3.4713,
1647
+ "step": 6990
1648
+ },
1649
+ {
1650
+ "epoch": 0.057213885492154025,
1651
+ "grad_norm": 0.8574703931808472,
1652
+ "learning_rate": 4.9961197220761035e-05,
1653
+ "loss": 3.4924,
1654
+ "step": 7020
1655
+ },
1656
+ {
1657
+ "epoch": 0.05745838927630853,
1658
+ "grad_norm": 0.8214017152786255,
1659
+ "learning_rate": 4.996083941193252e-05,
1660
+ "loss": 3.4773,
1661
+ "step": 7050
1662
+ },
1663
+ {
1664
+ "epoch": 0.057702893060463036,
1665
+ "grad_norm": 0.8267714977264404,
1666
+ "learning_rate": 4.9960479962243367e-05,
1667
+ "loss": 3.4836,
1668
+ "step": 7080
1669
+ },
1670
+ {
1671
+ "epoch": 0.05794739684461754,
1672
+ "grad_norm": 0.8415769934654236,
1673
+ "learning_rate": 4.996011887171719e-05,
1674
+ "loss": 3.4871,
1675
+ "step": 7110
1676
+ },
1677
+ {
1678
+ "epoch": 0.058191900628772046,
1679
+ "grad_norm": 0.9093459248542786,
1680
+ "learning_rate": 4.995975614037773e-05,
1681
+ "loss": 3.4777,
1682
+ "step": 7140
1683
+ },
1684
+ {
1685
+ "epoch": 0.05843640441292655,
1686
+ "grad_norm": 0.865168571472168,
1687
+ "learning_rate": 4.995939176824883e-05,
1688
+ "loss": 3.4798,
1689
+ "step": 7170
1690
+ },
1691
+ {
1692
+ "epoch": 0.05868090819708105,
1693
+ "grad_norm": 0.8812352418899536,
1694
+ "learning_rate": 4.995902575535446e-05,
1695
+ "loss": 3.4634,
1696
+ "step": 7200
1697
+ },
1698
+ {
1699
+ "epoch": 0.058925411981235555,
1700
+ "grad_norm": 0.8318623900413513,
1701
+ "learning_rate": 4.995865810171866e-05,
1702
+ "loss": 3.4691,
1703
+ "step": 7230
1704
+ },
1705
+ {
1706
+ "epoch": 0.05916991576539006,
1707
+ "grad_norm": 0.8475897312164307,
1708
+ "learning_rate": 4.995828880736561e-05,
1709
+ "loss": 3.4894,
1710
+ "step": 7260
1711
+ },
1712
+ {
1713
+ "epoch": 0.059414419549544566,
1714
+ "grad_norm": 0.8317278027534485,
1715
+ "learning_rate": 4.995791787231958e-05,
1716
+ "loss": 3.4597,
1717
+ "step": 7290
1718
+ },
1719
+ {
1720
+ "epoch": 0.05965892333369907,
1721
+ "grad_norm": 0.8189125657081604,
1722
+ "learning_rate": 4.9957545296604965e-05,
1723
+ "loss": 3.4495,
1724
+ "step": 7320
1725
+ },
1726
+ {
1727
+ "epoch": 0.059903427117853576,
1728
+ "grad_norm": 0.8047211766242981,
1729
+ "learning_rate": 4.9957171080246245e-05,
1730
+ "loss": 3.4865,
1731
+ "step": 7350
1732
+ },
1733
+ {
1734
+ "epoch": 0.06014793090200808,
1735
+ "grad_norm": 0.8353013396263123,
1736
+ "learning_rate": 4.995679522326803e-05,
1737
+ "loss": 3.4671,
1738
+ "step": 7380
1739
+ },
1740
+ {
1741
+ "epoch": 0.06039243468616259,
1742
+ "grad_norm": 0.7747114300727844,
1743
+ "learning_rate": 4.995641772569502e-05,
1744
+ "loss": 3.4423,
1745
+ "step": 7410
1746
+ },
1747
+ {
1748
+ "epoch": 0.060636938470317085,
1749
+ "grad_norm": 0.792785108089447,
1750
+ "learning_rate": 4.995603858755203e-05,
1751
+ "loss": 3.448,
1752
+ "step": 7440
1753
+ },
1754
+ {
1755
+ "epoch": 0.06088144225447159,
1756
+ "grad_norm": 0.9009000658988953,
1757
+ "learning_rate": 4.9955657808863985e-05,
1758
+ "loss": 3.4471,
1759
+ "step": 7470
1760
+ },
1761
+ {
1762
+ "epoch": 0.061125946038626096,
1763
+ "grad_norm": 0.8719607591629028,
1764
+ "learning_rate": 4.995527538965593e-05,
1765
+ "loss": 3.4512,
1766
+ "step": 7500
1767
+ },
1768
+ {
1769
+ "epoch": 0.0613704498227806,
1770
+ "grad_norm": 0.840308666229248,
1771
+ "learning_rate": 4.995489132995298e-05,
1772
+ "loss": 3.4576,
1773
+ "step": 7530
1774
+ },
1775
+ {
1776
+ "epoch": 0.061614953606935106,
1777
+ "grad_norm": 0.8216726779937744,
1778
+ "learning_rate": 4.99545056297804e-05,
1779
+ "loss": 3.4369,
1780
+ "step": 7560
1781
+ },
1782
+ {
1783
+ "epoch": 0.06185945739108961,
1784
+ "grad_norm": 0.7841954827308655,
1785
+ "learning_rate": 4.995411828916354e-05,
1786
+ "loss": 3.4338,
1787
+ "step": 7590
1788
+ },
1789
+ {
1790
+ "epoch": 0.06210396117524412,
1791
+ "grad_norm": 0.7832449674606323,
1792
+ "learning_rate": 4.9953729308127874e-05,
1793
+ "loss": 3.431,
1794
+ "step": 7620
1795
+ },
1796
+ {
1797
+ "epoch": 0.062348464959398615,
1798
+ "grad_norm": 0.821207582950592,
1799
+ "learning_rate": 4.995333868669895e-05,
1800
+ "loss": 3.44,
1801
+ "step": 7650
1802
+ },
1803
+ {
1804
+ "epoch": 0.06259296874355312,
1805
+ "grad_norm": 0.7705381512641907,
1806
+ "learning_rate": 4.995294642490246e-05,
1807
+ "loss": 3.4479,
1808
+ "step": 7680
1809
+ },
1810
+ {
1811
+ "epoch": 0.06283747252770763,
1812
+ "grad_norm": 0.7850989699363708,
1813
+ "learning_rate": 4.995255252276418e-05,
1814
+ "loss": 3.4276,
1815
+ "step": 7710
1816
+ },
1817
+ {
1818
+ "epoch": 0.06308197631186213,
1819
+ "grad_norm": 0.7798038721084595,
1820
+ "learning_rate": 4.9952156980310016e-05,
1821
+ "loss": 3.4376,
1822
+ "step": 7740
1823
+ },
1824
+ {
1825
+ "epoch": 0.06332648009601663,
1826
+ "grad_norm": 0.8357362151145935,
1827
+ "learning_rate": 4.9951759797565965e-05,
1828
+ "loss": 3.4408,
1829
+ "step": 7770
1830
+ },
1831
+ {
1832
+ "epoch": 0.06357098388017114,
1833
+ "grad_norm": 0.8627969622612,
1834
+ "learning_rate": 4.995136097455815e-05,
1835
+ "loss": 3.4328,
1836
+ "step": 7800
1837
+ },
1838
+ {
1839
+ "epoch": 0.06381548766432564,
1840
+ "grad_norm": 0.7546987533569336,
1841
+ "learning_rate": 4.995096051131276e-05,
1842
+ "loss": 3.4168,
1843
+ "step": 7830
1844
+ },
1845
+ {
1846
+ "epoch": 0.06405999144848015,
1847
+ "grad_norm": 0.8405272960662842,
1848
+ "learning_rate": 4.995055840785614e-05,
1849
+ "loss": 3.402,
1850
+ "step": 7860
1851
+ },
1852
+ {
1853
+ "epoch": 0.06430449523263465,
1854
+ "grad_norm": 0.8333033919334412,
1855
+ "learning_rate": 4.995015466421473e-05,
1856
+ "loss": 3.4333,
1857
+ "step": 7890
1858
+ },
1859
+ {
1860
+ "epoch": 0.06454899901678916,
1861
+ "grad_norm": 0.787031352519989,
1862
+ "learning_rate": 4.9949749280415056e-05,
1863
+ "loss": 3.4065,
1864
+ "step": 7920
1865
+ },
1866
+ {
1867
+ "epoch": 0.06479350280094366,
1868
+ "grad_norm": 0.7898181676864624,
1869
+ "learning_rate": 4.9949342256483766e-05,
1870
+ "loss": 3.4023,
1871
+ "step": 7950
1872
+ },
1873
+ {
1874
+ "epoch": 0.06503800658509817,
1875
+ "grad_norm": 0.7997327446937561,
1876
+ "learning_rate": 4.9948933592447636e-05,
1877
+ "loss": 3.4268,
1878
+ "step": 7980
1879
+ },
1880
+ {
1881
+ "epoch": 0.06528251036925267,
1882
+ "grad_norm": 0.8030378818511963,
1883
+ "learning_rate": 4.9948523288333506e-05,
1884
+ "loss": 3.4106,
1885
+ "step": 8010
1886
+ },
1887
+ {
1888
+ "epoch": 0.06552701415340717,
1889
+ "grad_norm": 0.8793920278549194,
1890
+ "learning_rate": 4.994811134416836e-05,
1891
+ "loss": 3.4075,
1892
+ "step": 8040
1893
+ },
1894
+ {
1895
+ "epoch": 0.06577151793756168,
1896
+ "grad_norm": 0.810756504535675,
1897
+ "learning_rate": 4.994769775997927e-05,
1898
+ "loss": 3.4177,
1899
+ "step": 8070
1900
+ },
1901
+ {
1902
+ "epoch": 0.06601602172171618,
1903
+ "grad_norm": 0.8193936347961426,
1904
+ "learning_rate": 4.994728253579345e-05,
1905
+ "loss": 3.4195,
1906
+ "step": 8100
1907
+ },
1908
+ {
1909
+ "epoch": 0.0662605255058707,
1910
+ "grad_norm": 0.8704981803894043,
1911
+ "learning_rate": 4.9946865671638166e-05,
1912
+ "loss": 3.3981,
1913
+ "step": 8130
1914
+ },
1915
+ {
1916
+ "epoch": 0.06650502929002519,
1917
+ "grad_norm": 0.9237441420555115,
1918
+ "learning_rate": 4.9946447167540835e-05,
1919
+ "loss": 3.4177,
1920
+ "step": 8160
1921
+ },
1922
+ {
1923
+ "epoch": 0.0667495330741797,
1924
+ "grad_norm": 0.7941862344741821,
1925
+ "learning_rate": 4.994602702352896e-05,
1926
+ "loss": 3.4252,
1927
+ "step": 8190
1928
+ },
1929
+ {
1930
+ "epoch": 0.0669940368583342,
1931
+ "grad_norm": 0.8230422735214233,
1932
+ "learning_rate": 4.994560523963018e-05,
1933
+ "loss": 3.3915,
1934
+ "step": 8220
1935
+ },
1936
+ {
1937
+ "epoch": 0.0672385406424887,
1938
+ "grad_norm": 0.7928892970085144,
1939
+ "learning_rate": 4.9945181815872196e-05,
1940
+ "loss": 3.3738,
1941
+ "step": 8250
1942
+ },
1943
+ {
1944
+ "epoch": 0.06748304442664321,
1945
+ "grad_norm": 0.798755407333374,
1946
+ "learning_rate": 4.9944756752282855e-05,
1947
+ "loss": 3.3991,
1948
+ "step": 8280
1949
+ },
1950
+ {
1951
+ "epoch": 0.06772754821079771,
1952
+ "grad_norm": 0.744189977645874,
1953
+ "learning_rate": 4.994433004889011e-05,
1954
+ "loss": 3.3874,
1955
+ "step": 8310
1956
+ },
1957
+ {
1958
+ "epoch": 0.06797205199495222,
1959
+ "grad_norm": 0.7570254802703857,
1960
+ "learning_rate": 4.994390170572199e-05,
1961
+ "loss": 3.3991,
1962
+ "step": 8340
1963
+ },
1964
+ {
1965
+ "epoch": 0.06821655577910672,
1966
+ "grad_norm": 0.7630516886711121,
1967
+ "learning_rate": 4.994347172280667e-05,
1968
+ "loss": 3.38,
1969
+ "step": 8370
1970
+ },
1971
+ {
1972
+ "epoch": 0.06846105956326123,
1973
+ "grad_norm": 0.8707906603813171,
1974
+ "learning_rate": 4.994304010017241e-05,
1975
+ "loss": 3.3794,
1976
+ "step": 8400
1977
+ },
1978
+ {
1979
+ "epoch": 0.06870556334741573,
1980
+ "grad_norm": 0.7646734714508057,
1981
+ "learning_rate": 4.994260683784758e-05,
1982
+ "loss": 3.4037,
1983
+ "step": 8430
1984
+ },
1985
+ {
1986
+ "epoch": 0.06895006713157023,
1987
+ "grad_norm": 0.8288954496383667,
1988
+ "learning_rate": 4.9942171935860674e-05,
1989
+ "loss": 3.3847,
1990
+ "step": 8460
1991
+ },
1992
+ {
1993
+ "epoch": 0.06919457091572474,
1994
+ "grad_norm": 0.7819532752037048,
1995
+ "learning_rate": 4.994173539424026e-05,
1996
+ "loss": 3.3854,
1997
+ "step": 8490
1998
+ },
1999
+ {
2000
+ "epoch": 0.06943907469987924,
2001
+ "grad_norm": 0.7958394289016724,
2002
+ "learning_rate": 4.994129721301506e-05,
2003
+ "loss": 3.3937,
2004
+ "step": 8520
2005
+ },
2006
+ {
2007
+ "epoch": 0.06968357848403375,
2008
+ "grad_norm": 0.8431640267372131,
2009
+ "learning_rate": 4.994085739221386e-05,
2010
+ "loss": 3.4072,
2011
+ "step": 8550
2012
+ },
2013
+ {
2014
+ "epoch": 0.06992808226818825,
2015
+ "grad_norm": 0.7959804534912109,
2016
+ "learning_rate": 4.994041593186558e-05,
2017
+ "loss": 3.3662,
2018
+ "step": 8580
2019
+ },
2020
+ {
2021
+ "epoch": 0.07017258605234276,
2022
+ "grad_norm": 0.7684959769248962,
2023
+ "learning_rate": 4.993997283199924e-05,
2024
+ "loss": 3.395,
2025
+ "step": 8610
2026
+ },
2027
+ {
2028
+ "epoch": 0.07041708983649726,
2029
+ "grad_norm": 0.7869526147842407,
2030
+ "learning_rate": 4.993952809264397e-05,
2031
+ "loss": 3.3903,
2032
+ "step": 8640
2033
+ },
2034
+ {
2035
+ "epoch": 0.07066159362065176,
2036
+ "grad_norm": 0.8075766563415527,
2037
+ "learning_rate": 4.9939081713829006e-05,
2038
+ "loss": 3.3732,
2039
+ "step": 8670
2040
+ },
2041
+ {
2042
+ "epoch": 0.07090609740480627,
2043
+ "grad_norm": 0.7754388451576233,
2044
+ "learning_rate": 4.993863369558369e-05,
2045
+ "loss": 3.3836,
2046
+ "step": 8700
2047
+ },
2048
+ {
2049
+ "epoch": 0.07115060118896077,
2050
+ "grad_norm": 0.7476597428321838,
2051
+ "learning_rate": 4.9938184037937466e-05,
2052
+ "loss": 3.3767,
2053
+ "step": 8730
2054
+ },
2055
+ {
2056
+ "epoch": 0.07139510497311528,
2057
+ "grad_norm": 0.7789965271949768,
2058
+ "learning_rate": 4.993773274091991e-05,
2059
+ "loss": 3.3518,
2060
+ "step": 8760
2061
+ },
2062
+ {
2063
+ "epoch": 0.07163960875726978,
2064
+ "grad_norm": 0.8229824900627136,
2065
+ "learning_rate": 4.993727980456067e-05,
2066
+ "loss": 3.3629,
2067
+ "step": 8790
2068
+ },
2069
+ {
2070
+ "epoch": 0.0718841125414243,
2071
+ "grad_norm": 0.762668251991272,
2072
+ "learning_rate": 4.993682522888954e-05,
2073
+ "loss": 3.375,
2074
+ "step": 8820
2075
+ },
2076
+ {
2077
+ "epoch": 0.07212861632557879,
2078
+ "grad_norm": 0.8019202947616577,
2079
+ "learning_rate": 4.993636901393639e-05,
2080
+ "loss": 3.3635,
2081
+ "step": 8850
2082
+ },
2083
+ {
2084
+ "epoch": 0.0723731201097333,
2085
+ "grad_norm": 0.9177828431129456,
2086
+ "learning_rate": 4.993591115973121e-05,
2087
+ "loss": 3.37,
2088
+ "step": 8880
2089
+ },
2090
+ {
2091
+ "epoch": 0.0726176238938878,
2092
+ "grad_norm": 0.8312643766403198,
2093
+ "learning_rate": 4.9935451666304105e-05,
2094
+ "loss": 3.3763,
2095
+ "step": 8910
2096
+ },
2097
+ {
2098
+ "epoch": 0.0728621276780423,
2099
+ "grad_norm": 0.828384518623352,
2100
+ "learning_rate": 4.993499053368528e-05,
2101
+ "loss": 3.368,
2102
+ "step": 8940
2103
+ },
2104
+ {
2105
+ "epoch": 0.07310663146219681,
2106
+ "grad_norm": 1.0234721899032593,
2107
+ "learning_rate": 4.993452776190504e-05,
2108
+ "loss": 3.3534,
2109
+ "step": 8970
2110
+ },
2111
+ {
2112
+ "epoch": 0.07335113524635131,
2113
+ "grad_norm": 0.8042975068092346,
2114
+ "learning_rate": 4.993406335099382e-05,
2115
+ "loss": 3.3677,
2116
+ "step": 9000
2117
+ },
2118
+ {
2119
+ "epoch": 0.07359563903050582,
2120
+ "grad_norm": 0.753710150718689,
2121
+ "learning_rate": 4.993359730098214e-05,
2122
+ "loss": 3.3652,
2123
+ "step": 9030
2124
+ },
2125
+ {
2126
+ "epoch": 0.07384014281466032,
2127
+ "grad_norm": 0.8520479798316956,
2128
+ "learning_rate": 4.993312961190064e-05,
2129
+ "loss": 3.3511,
2130
+ "step": 9060
2131
+ },
2132
+ {
2133
+ "epoch": 0.07408464659881484,
2134
+ "grad_norm": 0.7559372186660767,
2135
+ "learning_rate": 4.993266028378006e-05,
2136
+ "loss": 3.3438,
2137
+ "step": 9090
2138
+ },
2139
+ {
2140
+ "epoch": 0.07432915038296933,
2141
+ "grad_norm": 0.7419788837432861,
2142
+ "learning_rate": 4.993218931665126e-05,
2143
+ "loss": 3.3453,
2144
+ "step": 9120
2145
+ },
2146
+ {
2147
+ "epoch": 0.07457365416712383,
2148
+ "grad_norm": 0.8156657218933105,
2149
+ "learning_rate": 4.993171671054519e-05,
2150
+ "loss": 3.3654,
2151
+ "step": 9150
2152
+ },
2153
+ {
2154
+ "epoch": 0.07481815795127834,
2155
+ "grad_norm": 0.8189958930015564,
2156
+ "learning_rate": 4.993124246549293e-05,
2157
+ "loss": 3.3534,
2158
+ "step": 9180
2159
+ },
2160
+ {
2161
+ "epoch": 0.07506266173543284,
2162
+ "grad_norm": 0.7935733795166016,
2163
+ "learning_rate": 4.9930766581525645e-05,
2164
+ "loss": 3.3472,
2165
+ "step": 9210
2166
+ },
2167
+ {
2168
+ "epoch": 0.07530716551958735,
2169
+ "grad_norm": 0.823512852191925,
2170
+ "learning_rate": 4.993028905867463e-05,
2171
+ "loss": 3.3476,
2172
+ "step": 9240
2173
+ },
2174
+ {
2175
+ "epoch": 0.07555166930374185,
2176
+ "grad_norm": 0.8196141719818115,
2177
+ "learning_rate": 4.992980989697126e-05,
2178
+ "loss": 3.3479,
2179
+ "step": 9270
2180
+ },
2181
+ {
2182
+ "epoch": 0.07579617308789637,
2183
+ "grad_norm": 0.7773461937904358,
2184
+ "learning_rate": 4.992932909644705e-05,
2185
+ "loss": 3.344,
2186
+ "step": 9300
2187
+ },
2188
+ {
2189
+ "epoch": 0.07604067687205086,
2190
+ "grad_norm": 0.7703831791877747,
2191
+ "learning_rate": 4.9928846657133596e-05,
2192
+ "loss": 3.3495,
2193
+ "step": 9330
2194
+ },
2195
+ {
2196
+ "epoch": 0.07628518065620536,
2197
+ "grad_norm": 0.7672068476676941,
2198
+ "learning_rate": 4.992836257906262e-05,
2199
+ "loss": 3.3607,
2200
+ "step": 9360
2201
+ },
2202
+ {
2203
+ "epoch": 0.07652968444035987,
2204
+ "grad_norm": 0.7359826564788818,
2205
+ "learning_rate": 4.9927876862265935e-05,
2206
+ "loss": 3.3213,
2207
+ "step": 9390
2208
+ },
2209
+ {
2210
+ "epoch": 0.07677418822451437,
2211
+ "grad_norm": 0.8856120705604553,
2212
+ "learning_rate": 4.992738950677548e-05,
2213
+ "loss": 3.3132,
2214
+ "step": 9420
2215
+ },
2216
+ {
2217
+ "epoch": 0.07701869200866888,
2218
+ "grad_norm": 0.7555311918258667,
2219
+ "learning_rate": 4.992690051262329e-05,
2220
+ "loss": 3.3171,
2221
+ "step": 9450
2222
+ },
2223
+ {
2224
+ "epoch": 0.07726319579282338,
2225
+ "grad_norm": 0.8101349472999573,
2226
+ "learning_rate": 4.99264098798415e-05,
2227
+ "loss": 3.3356,
2228
+ "step": 9480
2229
+ },
2230
+ {
2231
+ "epoch": 0.0775076995769779,
2232
+ "grad_norm": 0.7647647857666016,
2233
+ "learning_rate": 4.992591760846238e-05,
2234
+ "loss": 3.318,
2235
+ "step": 9510
2236
+ },
2237
+ {
2238
+ "epoch": 0.0777522033611324,
2239
+ "grad_norm": 0.7218281030654907,
2240
+ "learning_rate": 4.9925423698518274e-05,
2241
+ "loss": 3.3136,
2242
+ "step": 9540
2243
+ },
2244
+ {
2245
+ "epoch": 0.0779967071452869,
2246
+ "grad_norm": 0.8410701155662537,
2247
+ "learning_rate": 4.992492815004166e-05,
2248
+ "loss": 3.3436,
2249
+ "step": 9570
2250
+ },
2251
+ {
2252
+ "epoch": 0.0782412109294414,
2253
+ "grad_norm": 0.7226998209953308,
2254
+ "learning_rate": 4.992443096306512e-05,
2255
+ "loss": 3.3171,
2256
+ "step": 9600
2257
+ },
2258
+ {
2259
+ "epoch": 0.0784857147135959,
2260
+ "grad_norm": 0.7702776193618774,
2261
+ "learning_rate": 4.992393213762132e-05,
2262
+ "loss": 3.3512,
2263
+ "step": 9630
2264
+ },
2265
+ {
2266
+ "epoch": 0.07873021849775041,
2267
+ "grad_norm": 0.816752016544342,
2268
+ "learning_rate": 4.992343167374307e-05,
2269
+ "loss": 3.3189,
2270
+ "step": 9660
2271
+ },
2272
+ {
2273
+ "epoch": 0.07897472228190491,
2274
+ "grad_norm": 0.854523241519928,
2275
+ "learning_rate": 4.992292957146326e-05,
2276
+ "loss": 3.315,
2277
+ "step": 9690
2278
+ },
2279
+ {
2280
+ "epoch": 0.07921922606605943,
2281
+ "grad_norm": 0.7951149940490723,
2282
+ "learning_rate": 4.992242583081489e-05,
2283
+ "loss": 3.314,
2284
+ "step": 9720
2285
+ },
2286
+ {
2287
+ "epoch": 0.07946372985021392,
2288
+ "grad_norm": 0.7649703621864319,
2289
+ "learning_rate": 4.992192045183109e-05,
2290
+ "loss": 3.2931,
2291
+ "step": 9750
2292
+ },
2293
+ {
2294
+ "epoch": 0.07970823363436844,
2295
+ "grad_norm": 0.8076454401016235,
2296
+ "learning_rate": 4.9921413434545075e-05,
2297
+ "loss": 3.2975,
2298
+ "step": 9780
2299
+ },
2300
+ {
2301
+ "epoch": 0.07995273741852293,
2302
+ "grad_norm": 0.7618278861045837,
2303
+ "learning_rate": 4.992090477899018e-05,
2304
+ "loss": 3.2909,
2305
+ "step": 9810
2306
+ },
2307
+ {
2308
+ "epoch": 0.08019724120267743,
2309
+ "grad_norm": 0.748193085193634,
2310
+ "learning_rate": 4.992039448519982e-05,
2311
+ "loss": 3.2894,
2312
+ "step": 9840
2313
+ },
2314
+ {
2315
+ "epoch": 0.08044174498683195,
2316
+ "grad_norm": 0.7488676309585571,
2317
+ "learning_rate": 4.9919882553207566e-05,
2318
+ "loss": 3.2905,
2319
+ "step": 9870
2320
+ },
2321
+ {
2322
+ "epoch": 0.08068624877098644,
2323
+ "grad_norm": 0.7544564604759216,
2324
+ "learning_rate": 4.9919368983047066e-05,
2325
+ "loss": 3.2983,
2326
+ "step": 9900
2327
+ },
2328
+ {
2329
+ "epoch": 0.08093075255514096,
2330
+ "grad_norm": 0.7570173144340515,
2331
+ "learning_rate": 4.9918853774752074e-05,
2332
+ "loss": 3.3151,
2333
+ "step": 9930
2334
+ },
2335
+ {
2336
+ "epoch": 0.08117525633929545,
2337
+ "grad_norm": 0.7475308775901794,
2338
+ "learning_rate": 4.991833692835646e-05,
2339
+ "loss": 3.2878,
2340
+ "step": 9960
2341
+ },
2342
+ {
2343
+ "epoch": 0.08141976012344997,
2344
+ "grad_norm": 0.858024001121521,
2345
+ "learning_rate": 4.9917818443894203e-05,
2346
+ "loss": 3.298,
2347
+ "step": 9990
2348
+ },
2349
+ {
2350
+ "epoch": 0.08166426390760446,
2351
+ "grad_norm": 0.9019065499305725,
2352
+ "learning_rate": 4.991729832139939e-05,
2353
+ "loss": 3.2961,
2354
+ "step": 10020
2355
+ },
2356
+ {
2357
+ "epoch": 0.08190876769175896,
2358
+ "grad_norm": 0.757036030292511,
2359
+ "learning_rate": 4.991677656090621e-05,
2360
+ "loss": 3.2939,
2361
+ "step": 10050
2362
+ },
2363
+ {
2364
+ "epoch": 0.08215327147591348,
2365
+ "grad_norm": 0.7498080730438232,
2366
+ "learning_rate": 4.991625316244896e-05,
2367
+ "loss": 3.3187,
2368
+ "step": 10080
2369
+ },
2370
+ {
2371
+ "epoch": 0.08239777526006797,
2372
+ "grad_norm": 0.7562547922134399,
2373
+ "learning_rate": 4.991572812606205e-05,
2374
+ "loss": 3.3113,
2375
+ "step": 10110
2376
+ },
2377
+ {
2378
+ "epoch": 0.08264227904422249,
2379
+ "grad_norm": 0.7378952503204346,
2380
+ "learning_rate": 4.991520145177998e-05,
2381
+ "loss": 3.3021,
2382
+ "step": 10140
2383
+ },
2384
+ {
2385
+ "epoch": 0.08288678282837698,
2386
+ "grad_norm": 0.7791491150856018,
2387
+ "learning_rate": 4.991467313963739e-05,
2388
+ "loss": 3.2856,
2389
+ "step": 10170
2390
+ },
2391
+ {
2392
+ "epoch": 0.0831312866125315,
2393
+ "grad_norm": 0.7295765280723572,
2394
+ "learning_rate": 4.991414318966901e-05,
2395
+ "loss": 3.2815,
2396
+ "step": 10200
2397
+ },
2398
+ {
2399
+ "epoch": 0.083375790396686,
2400
+ "grad_norm": 0.7607465982437134,
2401
+ "learning_rate": 4.991361160190966e-05,
2402
+ "loss": 3.2709,
2403
+ "step": 10230
2404
+ },
2405
+ {
2406
+ "epoch": 0.08362029418084051,
2407
+ "grad_norm": 0.7715272903442383,
2408
+ "learning_rate": 4.9913078376394304e-05,
2409
+ "loss": 3.3011,
2410
+ "step": 10260
2411
+ },
2412
+ {
2413
+ "epoch": 0.083864797964995,
2414
+ "grad_norm": 0.7366231679916382,
2415
+ "learning_rate": 4.991254351315799e-05,
2416
+ "loss": 3.2798,
2417
+ "step": 10290
2418
+ },
2419
+ {
2420
+ "epoch": 0.0841093017491495,
2421
+ "grad_norm": 0.7520325183868408,
2422
+ "learning_rate": 4.991200701223587e-05,
2423
+ "loss": 3.2925,
2424
+ "step": 10320
2425
+ },
2426
+ {
2427
+ "epoch": 0.08435380553330402,
2428
+ "grad_norm": 0.7658284902572632,
2429
+ "learning_rate": 4.991146887366323e-05,
2430
+ "loss": 3.2954,
2431
+ "step": 10350
2432
+ },
2433
+ {
2434
+ "epoch": 0.08459830931745851,
2435
+ "grad_norm": 0.7013542056083679,
2436
+ "learning_rate": 4.991092909747542e-05,
2437
+ "loss": 3.2897,
2438
+ "step": 10380
2439
+ },
2440
+ {
2441
+ "epoch": 0.08484281310161303,
2442
+ "grad_norm": 0.8035088181495667,
2443
+ "learning_rate": 4.9910387683707946e-05,
2444
+ "loss": 3.2876,
2445
+ "step": 10410
2446
+ },
2447
+ {
2448
+ "epoch": 0.08508731688576752,
2449
+ "grad_norm": 0.7619040608406067,
2450
+ "learning_rate": 4.9909844632396386e-05,
2451
+ "loss": 3.278,
2452
+ "step": 10440
2453
+ },
2454
+ {
2455
+ "epoch": 0.08533182066992204,
2456
+ "grad_norm": 0.7567503452301025,
2457
+ "learning_rate": 4.9909299943576445e-05,
2458
+ "loss": 3.2774,
2459
+ "step": 10470
2460
+ },
2461
+ {
2462
+ "epoch": 0.08557632445407654,
2463
+ "grad_norm": 0.7545759677886963,
2464
+ "learning_rate": 4.990875361728393e-05,
2465
+ "loss": 3.2824,
2466
+ "step": 10500
2467
+ },
2468
+ {
2469
+ "epoch": 0.08582082823823103,
2470
+ "grad_norm": 0.7955304980278015,
2471
+ "learning_rate": 4.990820565355475e-05,
2472
+ "loss": 3.2809,
2473
+ "step": 10530
2474
+ },
2475
+ {
2476
+ "epoch": 0.08606533202238555,
2477
+ "grad_norm": 0.8105009198188782,
2478
+ "learning_rate": 4.990765605242493e-05,
2479
+ "loss": 3.2745,
2480
+ "step": 10560
2481
+ },
2482
+ {
2483
+ "epoch": 0.08630983580654004,
2484
+ "grad_norm": 0.758289098739624,
2485
+ "learning_rate": 4.990710481393061e-05,
2486
+ "loss": 3.2549,
2487
+ "step": 10590
2488
+ },
2489
+ {
2490
+ "epoch": 0.08655433959069456,
2491
+ "grad_norm": 0.7958084344863892,
2492
+ "learning_rate": 4.9906551938108003e-05,
2493
+ "loss": 3.3004,
2494
+ "step": 10620
2495
+ },
2496
+ {
2497
+ "epoch": 0.08679884337484906,
2498
+ "grad_norm": 0.7208577394485474,
2499
+ "learning_rate": 4.990599742499347e-05,
2500
+ "loss": 3.291,
2501
+ "step": 10650
2502
+ },
2503
+ {
2504
+ "epoch": 0.08704334715900357,
2505
+ "grad_norm": 0.7224754691123962,
2506
+ "learning_rate": 4.990544127462346e-05,
2507
+ "loss": 3.2676,
2508
+ "step": 10680
2509
+ },
2510
+ {
2511
+ "epoch": 0.08728785094315807,
2512
+ "grad_norm": 0.7175268530845642,
2513
+ "learning_rate": 4.9904883487034537e-05,
2514
+ "loss": 3.2753,
2515
+ "step": 10710
2516
+ },
2517
+ {
2518
+ "epoch": 0.08753235472731256,
2519
+ "grad_norm": 0.75492262840271,
2520
+ "learning_rate": 4.990432406226336e-05,
2521
+ "loss": 3.2707,
2522
+ "step": 10740
2523
+ },
2524
+ {
2525
+ "epoch": 0.08777685851146708,
2526
+ "grad_norm": 0.7345853447914124,
2527
+ "learning_rate": 4.990376300034671e-05,
2528
+ "loss": 3.2593,
2529
+ "step": 10770
2530
+ },
2531
+ {
2532
+ "epoch": 0.08802136229562157,
2533
+ "grad_norm": 0.719987154006958,
2534
+ "learning_rate": 4.990320030132147e-05,
2535
+ "loss": 3.2689,
2536
+ "step": 10800
2537
+ },
2538
+ {
2539
+ "epoch": 0.08826586607977609,
2540
+ "grad_norm": 0.7458385229110718,
2541
+ "learning_rate": 4.990263596522462e-05,
2542
+ "loss": 3.2822,
2543
+ "step": 10830
2544
+ },
2545
+ {
2546
+ "epoch": 0.08851036986393059,
2547
+ "grad_norm": 0.7266592383384705,
2548
+ "learning_rate": 4.9902069992093275e-05,
2549
+ "loss": 3.2818,
2550
+ "step": 10860
2551
+ },
2552
+ {
2553
+ "epoch": 0.0887548736480851,
2554
+ "grad_norm": 0.6844702363014221,
2555
+ "learning_rate": 4.990150238196463e-05,
2556
+ "loss": 3.2711,
2557
+ "step": 10890
2558
+ },
2559
+ {
2560
+ "epoch": 0.0889993774322396,
2561
+ "grad_norm": 0.7185301184654236,
2562
+ "learning_rate": 4.9900933134876e-05,
2563
+ "loss": 3.2682,
2564
+ "step": 10920
2565
+ },
2566
+ {
2567
+ "epoch": 0.0892438812163941,
2568
+ "grad_norm": 0.7460073232650757,
2569
+ "learning_rate": 4.990036225086481e-05,
2570
+ "loss": 3.2419,
2571
+ "step": 10950
2572
+ },
2573
+ {
2574
+ "epoch": 0.0894883850005486,
2575
+ "grad_norm": 0.7382895946502686,
2576
+ "learning_rate": 4.9899789729968585e-05,
2577
+ "loss": 3.2612,
2578
+ "step": 10980
2579
+ },
2580
+ {
2581
+ "epoch": 0.0897328887847031,
2582
+ "grad_norm": 0.7204514741897583,
2583
+ "learning_rate": 4.989921557222496e-05,
2584
+ "loss": 3.2525,
2585
+ "step": 11010
2586
+ },
2587
+ {
2588
+ "epoch": 0.08997739256885762,
2589
+ "grad_norm": 0.7512257695198059,
2590
+ "learning_rate": 4.989863977767167e-05,
2591
+ "loss": 3.2656,
2592
+ "step": 11040
2593
+ },
2594
+ {
2595
+ "epoch": 0.09022189635301212,
2596
+ "grad_norm": 0.7579988837242126,
2597
+ "learning_rate": 4.989806234634659e-05,
2598
+ "loss": 3.2545,
2599
+ "step": 11070
2600
+ },
2601
+ {
2602
+ "epoch": 0.09046640013716663,
2603
+ "grad_norm": 0.7989354729652405,
2604
+ "learning_rate": 4.989748327828765e-05,
2605
+ "loss": 3.2588,
2606
+ "step": 11100
2607
+ },
2608
+ {
2609
+ "epoch": 0.09071090392132113,
2610
+ "grad_norm": 0.7362430095672607,
2611
+ "learning_rate": 4.989690257353294e-05,
2612
+ "loss": 3.2205,
2613
+ "step": 11130
2614
+ },
2615
+ {
2616
+ "epoch": 0.09095540770547564,
2617
+ "grad_norm": 0.6724596619606018,
2618
+ "learning_rate": 4.989632023212062e-05,
2619
+ "loss": 3.252,
2620
+ "step": 11160
2621
+ },
2622
+ {
2623
+ "epoch": 0.09119991148963014,
2624
+ "grad_norm": 0.804040789604187,
2625
+ "learning_rate": 4.9895736254088975e-05,
2626
+ "loss": 3.2554,
2627
+ "step": 11190
2628
+ },
2629
+ {
2630
+ "epoch": 0.09144441527378463,
2631
+ "grad_norm": 0.7371083498001099,
2632
+ "learning_rate": 4.989515063947641e-05,
2633
+ "loss": 3.2551,
2634
+ "step": 11220
2635
+ },
2636
+ {
2637
+ "epoch": 0.09168891905793915,
2638
+ "grad_norm": 0.8144158124923706,
2639
+ "learning_rate": 4.9894563388321395e-05,
2640
+ "loss": 3.2396,
2641
+ "step": 11250
2642
+ },
2643
+ {
2644
+ "epoch": 0.09193342284209365,
2645
+ "grad_norm": 0.7379621863365173,
2646
+ "learning_rate": 4.989397450066254e-05,
2647
+ "loss": 3.2588,
2648
+ "step": 11280
2649
+ },
2650
+ {
2651
+ "epoch": 0.09217792662624816,
2652
+ "grad_norm": 0.7908419370651245,
2653
+ "learning_rate": 4.989338397653858e-05,
2654
+ "loss": 3.2316,
2655
+ "step": 11310
2656
+ },
2657
+ {
2658
+ "epoch": 0.09242243041040266,
2659
+ "grad_norm": 0.763767421245575,
2660
+ "learning_rate": 4.98927918159883e-05,
2661
+ "loss": 3.2585,
2662
+ "step": 11340
2663
+ },
2664
+ {
2665
+ "epoch": 0.09266693419455717,
2666
+ "grad_norm": 0.7726889252662659,
2667
+ "learning_rate": 4.989219801905066e-05,
2668
+ "loss": 3.2481,
2669
+ "step": 11370
2670
+ },
2671
+ {
2672
+ "epoch": 0.09291143797871167,
2673
+ "grad_norm": 0.7199206352233887,
2674
+ "learning_rate": 4.989160258576469e-05,
2675
+ "loss": 3.2468,
2676
+ "step": 11400
2677
+ },
2678
+ {
2679
+ "epoch": 0.09315594176286617,
2680
+ "grad_norm": 0.7201483249664307,
2681
+ "learning_rate": 4.98910055161695e-05,
2682
+ "loss": 3.2226,
2683
+ "step": 11430
2684
+ },
2685
+ {
2686
+ "epoch": 0.09340044554702068,
2687
+ "grad_norm": 0.724740743637085,
2688
+ "learning_rate": 4.989040681030437e-05,
2689
+ "loss": 3.2546,
2690
+ "step": 11460
2691
+ },
2692
+ {
2693
+ "epoch": 0.09364494933117518,
2694
+ "grad_norm": 0.7120088338851929,
2695
+ "learning_rate": 4.988980646820865e-05,
2696
+ "loss": 3.2397,
2697
+ "step": 11490
2698
+ },
2699
+ {
2700
+ "epoch": 0.09388945311532969,
2701
+ "grad_norm": 0.7296812534332275,
2702
+ "learning_rate": 4.9889204489921804e-05,
2703
+ "loss": 3.2201,
2704
+ "step": 11520
2705
+ },
2706
+ {
2707
+ "epoch": 0.09413395689948419,
2708
+ "grad_norm": 0.7710677981376648,
2709
+ "learning_rate": 4.9888600875483404e-05,
2710
+ "loss": 3.2475,
2711
+ "step": 11550
2712
+ },
2713
+ {
2714
+ "epoch": 0.0943784606836387,
2715
+ "grad_norm": 0.7161293029785156,
2716
+ "learning_rate": 4.9887995624933137e-05,
2717
+ "loss": 3.2289,
2718
+ "step": 11580
2719
+ },
2720
+ {
2721
+ "epoch": 0.0946229644677932,
2722
+ "grad_norm": 0.6972730755805969,
2723
+ "learning_rate": 4.988738873831078e-05,
2724
+ "loss": 3.2247,
2725
+ "step": 11610
2726
+ },
2727
+ {
2728
+ "epoch": 0.0948674682519477,
2729
+ "grad_norm": 0.7108049988746643,
2730
+ "learning_rate": 4.988678021565623e-05,
2731
+ "loss": 3.2227,
2732
+ "step": 11640
2733
+ },
2734
+ {
2735
+ "epoch": 0.09511197203610221,
2736
+ "grad_norm": 0.729718029499054,
2737
+ "learning_rate": 4.988617005700949e-05,
2738
+ "loss": 3.2396,
2739
+ "step": 11670
2740
+ },
2741
+ {
2742
+ "epoch": 0.0953564758202567,
2743
+ "grad_norm": 0.6947882771492004,
2744
+ "learning_rate": 4.988555826241068e-05,
2745
+ "loss": 3.238,
2746
+ "step": 11700
2747
+ },
2748
+ {
2749
+ "epoch": 0.09560097960441122,
2750
+ "grad_norm": 0.7448226809501648,
2751
+ "learning_rate": 4.988494483190001e-05,
2752
+ "loss": 3.2274,
2753
+ "step": 11730
2754
+ },
2755
+ {
2756
+ "epoch": 0.09584548338856572,
2757
+ "grad_norm": 0.6681617498397827,
2758
+ "learning_rate": 4.98843297655178e-05,
2759
+ "loss": 3.2504,
2760
+ "step": 11760
2761
+ },
2762
+ {
2763
+ "epoch": 0.09608998717272023,
2764
+ "grad_norm": 0.7603419423103333,
2765
+ "learning_rate": 4.988371306330449e-05,
2766
+ "loss": 3.2206,
2767
+ "step": 11790
2768
+ },
2769
+ {
2770
+ "epoch": 0.09633449095687473,
2771
+ "grad_norm": 0.7187109589576721,
2772
+ "learning_rate": 4.9883094725300625e-05,
2773
+ "loss": 3.2313,
2774
+ "step": 11820
2775
+ },
2776
+ {
2777
+ "epoch": 0.09657899474102924,
2778
+ "grad_norm": 0.7375375628471375,
2779
+ "learning_rate": 4.9882474751546846e-05,
2780
+ "loss": 3.214,
2781
+ "step": 11850
2782
+ },
2783
+ {
2784
+ "epoch": 0.09682349852518374,
2785
+ "grad_norm": 0.7366687059402466,
2786
+ "learning_rate": 4.98818531420839e-05,
2787
+ "loss": 3.2191,
2788
+ "step": 11880
2789
+ },
2790
+ {
2791
+ "epoch": 0.09706800230933824,
2792
+ "grad_norm": 0.690647304058075,
2793
+ "learning_rate": 4.988122989695267e-05,
2794
+ "loss": 3.2378,
2795
+ "step": 11910
2796
+ },
2797
+ {
2798
+ "epoch": 0.09731250609349275,
2799
+ "grad_norm": 0.7315085530281067,
2800
+ "learning_rate": 4.9880605016194116e-05,
2801
+ "loss": 3.2121,
2802
+ "step": 11940
2803
+ },
2804
+ {
2805
+ "epoch": 0.09755700987764725,
2806
+ "grad_norm": 0.7334670424461365,
2807
+ "learning_rate": 4.9879978499849304e-05,
2808
+ "loss": 3.2194,
2809
+ "step": 11970
2810
+ },
2811
+ {
2812
+ "epoch": 0.09780151366180176,
2813
+ "grad_norm": 0.7092124223709106,
2814
+ "learning_rate": 4.987935034795944e-05,
2815
+ "loss": 3.2162,
2816
+ "step": 12000
2817
+ },
2818
+ {
2819
+ "epoch": 0.09804601744595626,
2820
+ "grad_norm": 0.7557071447372437,
2821
+ "learning_rate": 4.9878720560565803e-05,
2822
+ "loss": 3.21,
2823
+ "step": 12030
2824
+ },
2825
+ {
2826
+ "epoch": 0.09829052123011077,
2827
+ "grad_norm": 0.7767185568809509,
2828
+ "learning_rate": 4.9878089137709806e-05,
2829
+ "loss": 3.2221,
2830
+ "step": 12060
2831
+ },
2832
+ {
2833
+ "epoch": 0.09853502501426527,
2834
+ "grad_norm": 0.7004647850990295,
2835
+ "learning_rate": 4.987745607943295e-05,
2836
+ "loss": 3.2333,
2837
+ "step": 12090
2838
+ },
2839
+ {
2840
+ "epoch": 0.09877952879841977,
2841
+ "grad_norm": 0.6746474504470825,
2842
+ "learning_rate": 4.9876821385776854e-05,
2843
+ "loss": 3.2185,
2844
+ "step": 12120
2845
+ },
2846
+ {
2847
+ "epoch": 0.09902403258257428,
2848
+ "grad_norm": 0.7061980962753296,
2849
+ "learning_rate": 4.9876185056783226e-05,
2850
+ "loss": 3.2159,
2851
+ "step": 12150
2852
+ },
2853
+ {
2854
+ "epoch": 0.09926853636672878,
2855
+ "grad_norm": 0.7409046292304993,
2856
+ "learning_rate": 4.987554709249391e-05,
2857
+ "loss": 3.2214,
2858
+ "step": 12180
2859
+ },
2860
+ {
2861
+ "epoch": 0.09951304015088329,
2862
+ "grad_norm": 0.6951879858970642,
2863
+ "learning_rate": 4.987490749295085e-05,
2864
+ "loss": 3.2124,
2865
+ "step": 12210
2866
+ },
2867
+ {
2868
+ "epoch": 0.09975754393503779,
2869
+ "grad_norm": 0.7459700107574463,
2870
+ "learning_rate": 4.9874266258196084e-05,
2871
+ "loss": 3.2074,
2872
+ "step": 12240
2873
+ },
2874
+ {
2875
+ "epoch": 0.1000020477191923,
2876
+ "grad_norm": 0.654021680355072,
2877
+ "learning_rate": 4.9873623388271764e-05,
2878
+ "loss": 3.2199,
2879
+ "step": 12270
2880
+ },
2881
+ {
2882
+ "epoch": 0.1002465515033468,
2883
+ "grad_norm": 0.7051617503166199,
2884
+ "learning_rate": 4.987297888322015e-05,
2885
+ "loss": 3.1998,
2886
+ "step": 12300
2887
+ },
2888
+ {
2889
+ "epoch": 0.1004910552875013,
2890
+ "grad_norm": 0.7212511301040649,
2891
+ "learning_rate": 4.9872332743083615e-05,
2892
+ "loss": 3.2144,
2893
+ "step": 12330
2894
+ },
2895
+ {
2896
+ "epoch": 0.10073555907165581,
2897
+ "grad_norm": 0.6988245844841003,
2898
+ "learning_rate": 4.987168496790463e-05,
2899
+ "loss": 3.2036,
2900
+ "step": 12360
2901
+ },
2902
+ {
2903
+ "epoch": 0.10098006285581031,
2904
+ "grad_norm": 0.7479727864265442,
2905
+ "learning_rate": 4.9871035557725774e-05,
2906
+ "loss": 3.2035,
2907
+ "step": 12390
2908
+ },
2909
+ {
2910
+ "epoch": 0.10122456663996482,
2911
+ "grad_norm": 0.6703733801841736,
2912
+ "learning_rate": 4.987038451258975e-05,
2913
+ "loss": 3.2119,
2914
+ "step": 12420
2915
+ },
2916
+ {
2917
+ "epoch": 0.10146907042411932,
2918
+ "grad_norm": 0.7142158150672913,
2919
+ "learning_rate": 4.9869731832539346e-05,
2920
+ "loss": 3.1866,
2921
+ "step": 12450
2922
+ },
2923
+ {
2924
+ "epoch": 0.10171357420827383,
2925
+ "grad_norm": 0.6590874195098877,
2926
+ "learning_rate": 4.9869077517617474e-05,
2927
+ "loss": 3.1854,
2928
+ "step": 12480
2929
+ },
2930
+ {
2931
+ "epoch": 0.10195807799242833,
2932
+ "grad_norm": 0.7379269599914551,
2933
+ "learning_rate": 4.986842156786714e-05,
2934
+ "loss": 3.1755,
2935
+ "step": 12510
2936
+ },
2937
+ {
2938
+ "epoch": 0.10220258177658284,
2939
+ "grad_norm": 0.7689487934112549,
2940
+ "learning_rate": 4.9867763983331474e-05,
2941
+ "loss": 3.1838,
2942
+ "step": 12540
2943
+ },
2944
+ {
2945
+ "epoch": 0.10244708556073734,
2946
+ "grad_norm": 0.6958329677581787,
2947
+ "learning_rate": 4.9867104764053697e-05,
2948
+ "loss": 3.191,
2949
+ "step": 12570
2950
+ },
2951
+ {
2952
+ "epoch": 0.10269158934489184,
2953
+ "grad_norm": 0.7052045464515686,
2954
+ "learning_rate": 4.986644391007714e-05,
2955
+ "loss": 3.1773,
2956
+ "step": 12600
2957
+ },
2958
+ {
2959
+ "epoch": 0.10293609312904635,
2960
+ "grad_norm": 0.6961473226547241,
2961
+ "learning_rate": 4.986578142144525e-05,
2962
+ "loss": 3.1982,
2963
+ "step": 12630
2964
+ },
2965
+ {
2966
+ "epoch": 0.10318059691320085,
2967
+ "grad_norm": 0.6776019930839539,
2968
+ "learning_rate": 4.986511729820158e-05,
2969
+ "loss": 3.1932,
2970
+ "step": 12660
2971
+ },
2972
+ {
2973
+ "epoch": 0.10342510069735536,
2974
+ "grad_norm": 0.7005933523178101,
2975
+ "learning_rate": 4.986445154038979e-05,
2976
+ "loss": 3.1892,
2977
+ "step": 12690
2978
+ },
2979
+ {
2980
+ "epoch": 0.10366960448150986,
2981
+ "grad_norm": 0.6863512992858887,
2982
+ "learning_rate": 4.986378414805364e-05,
2983
+ "loss": 3.199,
2984
+ "step": 12720
2985
+ },
2986
+ {
2987
+ "epoch": 0.10391410826566437,
2988
+ "grad_norm": 0.7182413339614868,
2989
+ "learning_rate": 4.9863115121237006e-05,
2990
+ "loss": 3.178,
2991
+ "step": 12750
2992
+ },
2993
+ {
2994
+ "epoch": 0.10415861204981887,
2995
+ "grad_norm": 0.7226789593696594,
2996
+ "learning_rate": 4.986244445998386e-05,
2997
+ "loss": 3.197,
2998
+ "step": 12780
2999
+ },
3000
+ {
3001
+ "epoch": 0.10440311583397337,
3002
+ "grad_norm": 0.7314379215240479,
3003
+ "learning_rate": 4.9861772164338304e-05,
3004
+ "loss": 3.184,
3005
+ "step": 12810
3006
+ },
3007
+ {
3008
+ "epoch": 0.10464761961812788,
3009
+ "grad_norm": 0.7286015152931213,
3010
+ "learning_rate": 4.986109823434452e-05,
3011
+ "loss": 3.1846,
3012
+ "step": 12840
3013
+ },
3014
+ {
3015
+ "epoch": 0.10489212340228238,
3016
+ "grad_norm": 0.6875571608543396,
3017
+ "learning_rate": 4.986042267004681e-05,
3018
+ "loss": 3.1965,
3019
+ "step": 12870
3020
+ },
3021
+ {
3022
+ "epoch": 0.10513662718643689,
3023
+ "grad_norm": 0.7378973364830017,
3024
+ "learning_rate": 4.98597454714896e-05,
3025
+ "loss": 3.1946,
3026
+ "step": 12900
3027
+ },
3028
+ {
3029
+ "epoch": 0.10538113097059139,
3030
+ "grad_norm": 0.7709534764289856,
3031
+ "learning_rate": 4.985906663871739e-05,
3032
+ "loss": 3.195,
3033
+ "step": 12930
3034
+ },
3035
+ {
3036
+ "epoch": 0.1056256347547459,
3037
+ "grad_norm": 0.6385577917098999,
3038
+ "learning_rate": 4.9858386171774804e-05,
3039
+ "loss": 3.1958,
3040
+ "step": 12960
3041
+ },
3042
+ {
3043
+ "epoch": 0.1058701385389004,
3044
+ "grad_norm": 0.7177209258079529,
3045
+ "learning_rate": 4.985770407070659e-05,
3046
+ "loss": 3.1669,
3047
+ "step": 12990
3048
+ },
3049
+ {
3050
+ "epoch": 0.1061146423230549,
3051
+ "grad_norm": 0.6712928414344788,
3052
+ "learning_rate": 4.985702033555757e-05,
3053
+ "loss": 3.193,
3054
+ "step": 13020
3055
+ },
3056
+ {
3057
+ "epoch": 0.10635914610720941,
3058
+ "grad_norm": 0.670972466468811,
3059
+ "learning_rate": 4.9856334966372705e-05,
3060
+ "loss": 3.1788,
3061
+ "step": 13050
3062
+ },
3063
+ {
3064
+ "epoch": 0.10660364989136391,
3065
+ "grad_norm": 0.7206739187240601,
3066
+ "learning_rate": 4.985564796319705e-05,
3067
+ "loss": 3.1928,
3068
+ "step": 13080
3069
+ },
3070
+ {
3071
+ "epoch": 0.10684815367551842,
3072
+ "grad_norm": 0.7591316103935242,
3073
+ "learning_rate": 4.985495932607576e-05,
3074
+ "loss": 3.196,
3075
+ "step": 13110
3076
+ },
3077
+ {
3078
+ "epoch": 0.10709265745967292,
3079
+ "grad_norm": 0.6864051222801208,
3080
+ "learning_rate": 4.9854269055054096e-05,
3081
+ "loss": 3.1929,
3082
+ "step": 13140
3083
+ },
3084
+ {
3085
+ "epoch": 0.10733716124382743,
3086
+ "grad_norm": 0.6852788329124451,
3087
+ "learning_rate": 4.985357715017744e-05,
3088
+ "loss": 3.1824,
3089
+ "step": 13170
3090
+ },
3091
+ {
3092
+ "epoch": 0.10758166502798193,
3093
+ "grad_norm": 0.6889312863349915,
3094
+ "learning_rate": 4.985288361149129e-05,
3095
+ "loss": 3.1918,
3096
+ "step": 13200
3097
+ },
3098
+ {
3099
+ "epoch": 0.10782616881213643,
3100
+ "grad_norm": 0.724328875541687,
3101
+ "learning_rate": 4.985218843904122e-05,
3102
+ "loss": 3.1944,
3103
+ "step": 13230
3104
+ },
3105
+ {
3106
+ "epoch": 0.10807067259629094,
3107
+ "grad_norm": 0.7326011061668396,
3108
+ "learning_rate": 4.985149163287294e-05,
3109
+ "loss": 3.1815,
3110
+ "step": 13260
3111
+ },
3112
+ {
3113
+ "epoch": 0.10831517638044544,
3114
+ "grad_norm": 0.7652591466903687,
3115
+ "learning_rate": 4.985079319303225e-05,
3116
+ "loss": 3.1747,
3117
+ "step": 13290
3118
+ },
3119
+ {
3120
+ "epoch": 0.10855968016459995,
3121
+ "grad_norm": 0.7179089188575745,
3122
+ "learning_rate": 4.985009311956507e-05,
3123
+ "loss": 3.1729,
3124
+ "step": 13320
3125
+ },
3126
+ {
3127
+ "epoch": 0.10880418394875445,
3128
+ "grad_norm": 0.6816122531890869,
3129
+ "learning_rate": 4.984939141251741e-05,
3130
+ "loss": 3.1877,
3131
+ "step": 13350
3132
+ },
3133
+ {
3134
+ "epoch": 0.10904868773290896,
3135
+ "grad_norm": 0.660858690738678,
3136
+ "learning_rate": 4.9848688071935415e-05,
3137
+ "loss": 3.1658,
3138
+ "step": 13380
3139
+ }
3140
+ ],
3141
+ "logging_steps": 30,
3142
+ "max_steps": 368091,
3143
+ "num_input_tokens_seen": 0,
3144
+ "num_train_epochs": 3,
3145
+ "save_steps": 100,
3146
+ "total_flos": 1.303917921042432e+19,
3147
+ "train_batch_size": 2,
3148
+ "trial_name": null,
3149
+ "trial_params": null
3150
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fd09cf647966b7aa9734641f3c430c3c948068505081b7e0375830487e6a3632
3
+ size 4984