jayanthspratap commited on
Commit
b1170d9
1 Parent(s): 37eef19

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.86,
3
+ "eval_accuracy": 0.929384965831435,
4
+ "eval_loss": 0.22778519988059998,
5
+ "eval_runtime": 15.9342,
6
+ "eval_samples_per_second": 27.551,
7
+ "eval_steps_per_second": 6.903,
8
+ "total_flos": 2.1986190125590118e+18,
9
+ "train_loss": 0.3750012589521729,
10
+ "train_runtime": 3633.2931,
11
+ "train_samples_per_second": 14.466,
12
+ "train_steps_per_second": 0.9
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.86,
3
+ "eval_accuracy": 0.929384965831435,
4
+ "eval_loss": 0.22778519988059998,
5
+ "eval_runtime": 15.9342,
6
+ "eval_samples_per_second": 27.551,
7
+ "eval_steps_per_second": 6.903
8
+ }
runs/Aug19_00-27-58_ip-172-16-95-1.us-west-2.compute.internal/events.out.tfevents.1692480779.ip-172-16-95-1.us-west-2.compute.internal.15426.13 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2905021f4398e94831392e4a9b33f275664e345716430845e12306a7ab9f052d
3
+ size 411
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.86,
3
+ "total_flos": 2.1986190125590118e+18,
4
+ "train_loss": 0.3750012589521729,
5
+ "train_runtime": 3633.2931,
6
+ "train_samples_per_second": 14.466,
7
+ "train_steps_per_second": 0.9
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2257 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.929384965831435,
3
+ "best_model_checkpoint": "mobilenet_v2_1.0_224-cxr-view/checkpoint-2518",
4
+ "epoch": 29.863013698630137,
5
+ "global_step": 3270,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.09,
12
+ "learning_rate": 1.5290519877675842e-07,
13
+ "loss": 0.7183,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.18,
18
+ "learning_rate": 3.0581039755351683e-07,
19
+ "loss": 0.6605,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.27,
24
+ "learning_rate": 4.587155963302753e-07,
25
+ "loss": 0.6883,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.37,
30
+ "learning_rate": 6.116207951070337e-07,
31
+ "loss": 0.719,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.46,
36
+ "learning_rate": 7.645259938837921e-07,
37
+ "loss": 0.6913,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.55,
42
+ "learning_rate": 9.174311926605506e-07,
43
+ "loss": 0.6944,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.64,
48
+ "learning_rate": 1.070336391437309e-06,
49
+ "loss": 0.6874,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.73,
54
+ "learning_rate": 1.2232415902140673e-06,
55
+ "loss": 0.7119,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.82,
60
+ "learning_rate": 1.3761467889908258e-06,
61
+ "loss": 0.7093,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.91,
66
+ "learning_rate": 1.5290519877675841e-06,
67
+ "loss": 0.7049,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 1.0,
72
+ "eval_accuracy": 0.744874715261959,
73
+ "eval_loss": 0.6746256351470947,
74
+ "eval_runtime": 15.5928,
75
+ "eval_samples_per_second": 28.154,
76
+ "eval_steps_per_second": 7.055,
77
+ "step": 109
78
+ },
79
+ {
80
+ "epoch": 1.0,
81
+ "learning_rate": 1.6819571865443426e-06,
82
+ "loss": 0.6907,
83
+ "step": 110
84
+ },
85
+ {
86
+ "epoch": 1.1,
87
+ "learning_rate": 1.8348623853211011e-06,
88
+ "loss": 0.6767,
89
+ "step": 120
90
+ },
91
+ {
92
+ "epoch": 1.19,
93
+ "learning_rate": 1.9877675840978594e-06,
94
+ "loss": 0.6906,
95
+ "step": 130
96
+ },
97
+ {
98
+ "epoch": 1.28,
99
+ "learning_rate": 2.140672782874618e-06,
100
+ "loss": 0.6775,
101
+ "step": 140
102
+ },
103
+ {
104
+ "epoch": 1.37,
105
+ "learning_rate": 2.2935779816513764e-06,
106
+ "loss": 0.6731,
107
+ "step": 150
108
+ },
109
+ {
110
+ "epoch": 1.46,
111
+ "learning_rate": 2.4464831804281347e-06,
112
+ "loss": 0.6895,
113
+ "step": 160
114
+ },
115
+ {
116
+ "epoch": 1.55,
117
+ "learning_rate": 2.599388379204893e-06,
118
+ "loss": 0.6679,
119
+ "step": 170
120
+ },
121
+ {
122
+ "epoch": 1.64,
123
+ "learning_rate": 2.7522935779816517e-06,
124
+ "loss": 0.6846,
125
+ "step": 180
126
+ },
127
+ {
128
+ "epoch": 1.74,
129
+ "learning_rate": 2.90519877675841e-06,
130
+ "loss": 0.6737,
131
+ "step": 190
132
+ },
133
+ {
134
+ "epoch": 1.83,
135
+ "learning_rate": 3.0581039755351682e-06,
136
+ "loss": 0.6588,
137
+ "step": 200
138
+ },
139
+ {
140
+ "epoch": 1.92,
141
+ "learning_rate": 3.211009174311927e-06,
142
+ "loss": 0.6565,
143
+ "step": 210
144
+ },
145
+ {
146
+ "epoch": 2.0,
147
+ "eval_accuracy": 0.6742596810933941,
148
+ "eval_loss": 0.6498312950134277,
149
+ "eval_runtime": 15.6514,
150
+ "eval_samples_per_second": 28.049,
151
+ "eval_steps_per_second": 7.028,
152
+ "step": 219
153
+ },
154
+ {
155
+ "epoch": 2.01,
156
+ "learning_rate": 3.3639143730886852e-06,
157
+ "loss": 0.6365,
158
+ "step": 220
159
+ },
160
+ {
161
+ "epoch": 2.1,
162
+ "learning_rate": 3.5168195718654435e-06,
163
+ "loss": 0.6319,
164
+ "step": 230
165
+ },
166
+ {
167
+ "epoch": 2.19,
168
+ "learning_rate": 3.6697247706422022e-06,
169
+ "loss": 0.613,
170
+ "step": 240
171
+ },
172
+ {
173
+ "epoch": 2.28,
174
+ "learning_rate": 3.8226299694189605e-06,
175
+ "loss": 0.6312,
176
+ "step": 250
177
+ },
178
+ {
179
+ "epoch": 2.37,
180
+ "learning_rate": 3.975535168195719e-06,
181
+ "loss": 0.631,
182
+ "step": 260
183
+ },
184
+ {
185
+ "epoch": 2.47,
186
+ "learning_rate": 4.128440366972478e-06,
187
+ "loss": 0.6364,
188
+ "step": 270
189
+ },
190
+ {
191
+ "epoch": 2.56,
192
+ "learning_rate": 4.281345565749236e-06,
193
+ "loss": 0.6092,
194
+ "step": 280
195
+ },
196
+ {
197
+ "epoch": 2.65,
198
+ "learning_rate": 4.4342507645259945e-06,
199
+ "loss": 0.6348,
200
+ "step": 290
201
+ },
202
+ {
203
+ "epoch": 2.74,
204
+ "learning_rate": 4.587155963302753e-06,
205
+ "loss": 0.6171,
206
+ "step": 300
207
+ },
208
+ {
209
+ "epoch": 2.83,
210
+ "learning_rate": 4.740061162079511e-06,
211
+ "loss": 0.5771,
212
+ "step": 310
213
+ },
214
+ {
215
+ "epoch": 2.92,
216
+ "learning_rate": 4.892966360856269e-06,
217
+ "loss": 0.5699,
218
+ "step": 320
219
+ },
220
+ {
221
+ "epoch": 3.0,
222
+ "eval_accuracy": 0.7995444191343963,
223
+ "eval_loss": 0.5730286836624146,
224
+ "eval_runtime": 15.9142,
225
+ "eval_samples_per_second": 27.586,
226
+ "eval_steps_per_second": 6.912,
227
+ "step": 328
228
+ },
229
+ {
230
+ "epoch": 3.01,
231
+ "learning_rate": 4.994903160040775e-06,
232
+ "loss": 0.5787,
233
+ "step": 330
234
+ },
235
+ {
236
+ "epoch": 3.11,
237
+ "learning_rate": 4.977913693510024e-06,
238
+ "loss": 0.5584,
239
+ "step": 340
240
+ },
241
+ {
242
+ "epoch": 3.2,
243
+ "learning_rate": 4.960924226979273e-06,
244
+ "loss": 0.5662,
245
+ "step": 350
246
+ },
247
+ {
248
+ "epoch": 3.29,
249
+ "learning_rate": 4.943934760448522e-06,
250
+ "loss": 0.5853,
251
+ "step": 360
252
+ },
253
+ {
254
+ "epoch": 3.38,
255
+ "learning_rate": 4.926945293917771e-06,
256
+ "loss": 0.5639,
257
+ "step": 370
258
+ },
259
+ {
260
+ "epoch": 3.47,
261
+ "learning_rate": 4.909955827387021e-06,
262
+ "loss": 0.5507,
263
+ "step": 380
264
+ },
265
+ {
266
+ "epoch": 3.56,
267
+ "learning_rate": 4.892966360856269e-06,
268
+ "loss": 0.5051,
269
+ "step": 390
270
+ },
271
+ {
272
+ "epoch": 3.65,
273
+ "learning_rate": 4.875976894325519e-06,
274
+ "loss": 0.5559,
275
+ "step": 400
276
+ },
277
+ {
278
+ "epoch": 3.74,
279
+ "learning_rate": 4.858987427794767e-06,
280
+ "loss": 0.5184,
281
+ "step": 410
282
+ },
283
+ {
284
+ "epoch": 3.84,
285
+ "learning_rate": 4.841997961264017e-06,
286
+ "loss": 0.5453,
287
+ "step": 420
288
+ },
289
+ {
290
+ "epoch": 3.93,
291
+ "learning_rate": 4.825008494733266e-06,
292
+ "loss": 0.5702,
293
+ "step": 430
294
+ },
295
+ {
296
+ "epoch": 4.0,
297
+ "eval_accuracy": 0.8086560364464692,
298
+ "eval_loss": 0.5119441747665405,
299
+ "eval_runtime": 15.7264,
300
+ "eval_samples_per_second": 27.915,
301
+ "eval_steps_per_second": 6.995,
302
+ "step": 438
303
+ },
304
+ {
305
+ "epoch": 4.02,
306
+ "learning_rate": 4.808019028202515e-06,
307
+ "loss": 0.4758,
308
+ "step": 440
309
+ },
310
+ {
311
+ "epoch": 4.11,
312
+ "learning_rate": 4.7910295616717635e-06,
313
+ "loss": 0.52,
314
+ "step": 450
315
+ },
316
+ {
317
+ "epoch": 4.2,
318
+ "learning_rate": 4.774040095141013e-06,
319
+ "loss": 0.5039,
320
+ "step": 460
321
+ },
322
+ {
323
+ "epoch": 4.29,
324
+ "learning_rate": 4.757050628610262e-06,
325
+ "loss": 0.4593,
326
+ "step": 470
327
+ },
328
+ {
329
+ "epoch": 4.38,
330
+ "learning_rate": 4.740061162079511e-06,
331
+ "loss": 0.5111,
332
+ "step": 480
333
+ },
334
+ {
335
+ "epoch": 4.47,
336
+ "learning_rate": 4.72307169554876e-06,
337
+ "loss": 0.5149,
338
+ "step": 490
339
+ },
340
+ {
341
+ "epoch": 4.57,
342
+ "learning_rate": 4.706082229018009e-06,
343
+ "loss": 0.4369,
344
+ "step": 500
345
+ },
346
+ {
347
+ "epoch": 4.66,
348
+ "learning_rate": 4.689092762487259e-06,
349
+ "loss": 0.5214,
350
+ "step": 510
351
+ },
352
+ {
353
+ "epoch": 4.75,
354
+ "learning_rate": 4.672103295956507e-06,
355
+ "loss": 0.4627,
356
+ "step": 520
357
+ },
358
+ {
359
+ "epoch": 4.84,
360
+ "learning_rate": 4.655113829425757e-06,
361
+ "loss": 0.461,
362
+ "step": 530
363
+ },
364
+ {
365
+ "epoch": 4.93,
366
+ "learning_rate": 4.638124362895005e-06,
367
+ "loss": 0.4849,
368
+ "step": 540
369
+ },
370
+ {
371
+ "epoch": 5.0,
372
+ "eval_accuracy": 0.8678815489749431,
373
+ "eval_loss": 0.43555235862731934,
374
+ "eval_runtime": 15.6016,
375
+ "eval_samples_per_second": 28.138,
376
+ "eval_steps_per_second": 7.051,
377
+ "step": 547
378
+ },
379
+ {
380
+ "epoch": 5.02,
381
+ "learning_rate": 4.621134896364255e-06,
382
+ "loss": 0.4744,
383
+ "step": 550
384
+ },
385
+ {
386
+ "epoch": 5.11,
387
+ "learning_rate": 4.604145429833503e-06,
388
+ "loss": 0.4267,
389
+ "step": 560
390
+ },
391
+ {
392
+ "epoch": 5.21,
393
+ "learning_rate": 4.587155963302753e-06,
394
+ "loss": 0.4546,
395
+ "step": 570
396
+ },
397
+ {
398
+ "epoch": 5.3,
399
+ "learning_rate": 4.570166496772001e-06,
400
+ "loss": 0.3955,
401
+ "step": 580
402
+ },
403
+ {
404
+ "epoch": 5.39,
405
+ "learning_rate": 4.553177030241251e-06,
406
+ "loss": 0.4499,
407
+ "step": 590
408
+ },
409
+ {
410
+ "epoch": 5.48,
411
+ "learning_rate": 4.5361875637104995e-06,
412
+ "loss": 0.4315,
413
+ "step": 600
414
+ },
415
+ {
416
+ "epoch": 5.57,
417
+ "learning_rate": 4.519198097179749e-06,
418
+ "loss": 0.4542,
419
+ "step": 610
420
+ },
421
+ {
422
+ "epoch": 5.66,
423
+ "learning_rate": 4.502208630648998e-06,
424
+ "loss": 0.5297,
425
+ "step": 620
426
+ },
427
+ {
428
+ "epoch": 5.75,
429
+ "learning_rate": 4.485219164118247e-06,
430
+ "loss": 0.4189,
431
+ "step": 630
432
+ },
433
+ {
434
+ "epoch": 5.84,
435
+ "learning_rate": 4.4682296975874964e-06,
436
+ "loss": 0.43,
437
+ "step": 640
438
+ },
439
+ {
440
+ "epoch": 5.94,
441
+ "learning_rate": 4.451240231056745e-06,
442
+ "loss": 0.356,
443
+ "step": 650
444
+ },
445
+ {
446
+ "epoch": 6.0,
447
+ "eval_accuracy": 0.8086560364464692,
448
+ "eval_loss": 0.4640910029411316,
449
+ "eval_runtime": 15.7608,
450
+ "eval_samples_per_second": 27.854,
451
+ "eval_steps_per_second": 6.979,
452
+ "step": 657
453
+ },
454
+ {
455
+ "epoch": 6.03,
456
+ "learning_rate": 4.4342507645259945e-06,
457
+ "loss": 0.4923,
458
+ "step": 660
459
+ },
460
+ {
461
+ "epoch": 6.12,
462
+ "learning_rate": 4.417261297995243e-06,
463
+ "loss": 0.464,
464
+ "step": 670
465
+ },
466
+ {
467
+ "epoch": 6.21,
468
+ "learning_rate": 4.400271831464492e-06,
469
+ "loss": 0.3965,
470
+ "step": 680
471
+ },
472
+ {
473
+ "epoch": 6.3,
474
+ "learning_rate": 4.383282364933741e-06,
475
+ "loss": 0.4148,
476
+ "step": 690
477
+ },
478
+ {
479
+ "epoch": 6.39,
480
+ "learning_rate": 4.366292898402991e-06,
481
+ "loss": 0.3874,
482
+ "step": 700
483
+ },
484
+ {
485
+ "epoch": 6.48,
486
+ "learning_rate": 4.349303431872239e-06,
487
+ "loss": 0.3694,
488
+ "step": 710
489
+ },
490
+ {
491
+ "epoch": 6.58,
492
+ "learning_rate": 4.332313965341489e-06,
493
+ "loss": 0.4263,
494
+ "step": 720
495
+ },
496
+ {
497
+ "epoch": 6.67,
498
+ "learning_rate": 4.315324498810738e-06,
499
+ "loss": 0.3835,
500
+ "step": 730
501
+ },
502
+ {
503
+ "epoch": 6.76,
504
+ "learning_rate": 4.298335032279987e-06,
505
+ "loss": 0.4637,
506
+ "step": 740
507
+ },
508
+ {
509
+ "epoch": 6.85,
510
+ "learning_rate": 4.281345565749236e-06,
511
+ "loss": 0.3923,
512
+ "step": 750
513
+ },
514
+ {
515
+ "epoch": 6.94,
516
+ "learning_rate": 4.264356099218485e-06,
517
+ "loss": 0.3713,
518
+ "step": 760
519
+ },
520
+ {
521
+ "epoch": 7.0,
522
+ "eval_accuracy": 0.8678815489749431,
523
+ "eval_loss": 0.3406853675842285,
524
+ "eval_runtime": 15.6486,
525
+ "eval_samples_per_second": 28.054,
526
+ "eval_steps_per_second": 7.029,
527
+ "step": 766
528
+ },
529
+ {
530
+ "epoch": 7.03,
531
+ "learning_rate": 4.247366632687734e-06,
532
+ "loss": 0.5575,
533
+ "step": 770
534
+ },
535
+ {
536
+ "epoch": 7.12,
537
+ "learning_rate": 4.230377166156983e-06,
538
+ "loss": 0.4175,
539
+ "step": 780
540
+ },
541
+ {
542
+ "epoch": 7.21,
543
+ "learning_rate": 4.2133876996262315e-06,
544
+ "loss": 0.4288,
545
+ "step": 790
546
+ },
547
+ {
548
+ "epoch": 7.31,
549
+ "learning_rate": 4.196398233095481e-06,
550
+ "loss": 0.3972,
551
+ "step": 800
552
+ },
553
+ {
554
+ "epoch": 7.4,
555
+ "learning_rate": 4.17940876656473e-06,
556
+ "loss": 0.354,
557
+ "step": 810
558
+ },
559
+ {
560
+ "epoch": 7.49,
561
+ "learning_rate": 4.162419300033979e-06,
562
+ "loss": 0.3354,
563
+ "step": 820
564
+ },
565
+ {
566
+ "epoch": 7.58,
567
+ "learning_rate": 4.1454298335032285e-06,
568
+ "loss": 0.3047,
569
+ "step": 830
570
+ },
571
+ {
572
+ "epoch": 7.67,
573
+ "learning_rate": 4.128440366972478e-06,
574
+ "loss": 0.4096,
575
+ "step": 840
576
+ },
577
+ {
578
+ "epoch": 7.76,
579
+ "learning_rate": 4.1114509004417265e-06,
580
+ "loss": 0.4209,
581
+ "step": 850
582
+ },
583
+ {
584
+ "epoch": 7.85,
585
+ "learning_rate": 4.094461433910976e-06,
586
+ "loss": 0.3988,
587
+ "step": 860
588
+ },
589
+ {
590
+ "epoch": 7.95,
591
+ "learning_rate": 4.077471967380225e-06,
592
+ "loss": 0.4571,
593
+ "step": 870
594
+ },
595
+ {
596
+ "epoch": 8.0,
597
+ "eval_accuracy": 0.7813211845102506,
598
+ "eval_loss": 0.48959481716156006,
599
+ "eval_runtime": 15.6588,
600
+ "eval_samples_per_second": 28.035,
601
+ "eval_steps_per_second": 7.025,
602
+ "step": 876
603
+ },
604
+ {
605
+ "epoch": 8.04,
606
+ "learning_rate": 4.060482500849473e-06,
607
+ "loss": 0.4078,
608
+ "step": 880
609
+ },
610
+ {
611
+ "epoch": 8.13,
612
+ "learning_rate": 4.043493034318723e-06,
613
+ "loss": 0.3905,
614
+ "step": 890
615
+ },
616
+ {
617
+ "epoch": 8.22,
618
+ "learning_rate": 4.026503567787971e-06,
619
+ "loss": 0.4258,
620
+ "step": 900
621
+ },
622
+ {
623
+ "epoch": 8.31,
624
+ "learning_rate": 4.009514101257221e-06,
625
+ "loss": 0.3991,
626
+ "step": 910
627
+ },
628
+ {
629
+ "epoch": 8.4,
630
+ "learning_rate": 3.99252463472647e-06,
631
+ "loss": 0.3783,
632
+ "step": 920
633
+ },
634
+ {
635
+ "epoch": 8.49,
636
+ "learning_rate": 3.975535168195719e-06,
637
+ "loss": 0.4471,
638
+ "step": 930
639
+ },
640
+ {
641
+ "epoch": 8.58,
642
+ "learning_rate": 3.958545701664968e-06,
643
+ "loss": 0.3437,
644
+ "step": 940
645
+ },
646
+ {
647
+ "epoch": 8.68,
648
+ "learning_rate": 3.941556235134218e-06,
649
+ "loss": 0.3779,
650
+ "step": 950
651
+ },
652
+ {
653
+ "epoch": 8.77,
654
+ "learning_rate": 3.924566768603466e-06,
655
+ "loss": 0.2581,
656
+ "step": 960
657
+ },
658
+ {
659
+ "epoch": 8.86,
660
+ "learning_rate": 3.907577302072715e-06,
661
+ "loss": 0.3267,
662
+ "step": 970
663
+ },
664
+ {
665
+ "epoch": 8.95,
666
+ "learning_rate": 3.890587835541964e-06,
667
+ "loss": 0.3896,
668
+ "step": 980
669
+ },
670
+ {
671
+ "epoch": 9.0,
672
+ "eval_accuracy": 0.8883826879271071,
673
+ "eval_loss": 0.3124327063560486,
674
+ "eval_runtime": 15.6592,
675
+ "eval_samples_per_second": 28.035,
676
+ "eval_steps_per_second": 7.025,
677
+ "step": 985
678
+ },
679
+ {
680
+ "epoch": 9.04,
681
+ "learning_rate": 3.873598369011213e-06,
682
+ "loss": 0.3471,
683
+ "step": 990
684
+ },
685
+ {
686
+ "epoch": 9.13,
687
+ "learning_rate": 3.8566089024804624e-06,
688
+ "loss": 0.396,
689
+ "step": 1000
690
+ },
691
+ {
692
+ "epoch": 9.22,
693
+ "learning_rate": 3.839619435949711e-06,
694
+ "loss": 0.3502,
695
+ "step": 1010
696
+ },
697
+ {
698
+ "epoch": 9.32,
699
+ "learning_rate": 3.8226299694189605e-06,
700
+ "loss": 0.3685,
701
+ "step": 1020
702
+ },
703
+ {
704
+ "epoch": 9.41,
705
+ "learning_rate": 3.80564050288821e-06,
706
+ "loss": 0.3023,
707
+ "step": 1030
708
+ },
709
+ {
710
+ "epoch": 9.5,
711
+ "learning_rate": 3.7886510363574586e-06,
712
+ "loss": 0.3511,
713
+ "step": 1040
714
+ },
715
+ {
716
+ "epoch": 9.59,
717
+ "learning_rate": 3.771661569826708e-06,
718
+ "loss": 0.3186,
719
+ "step": 1050
720
+ },
721
+ {
722
+ "epoch": 9.68,
723
+ "learning_rate": 3.7546721032959566e-06,
724
+ "loss": 0.4063,
725
+ "step": 1060
726
+ },
727
+ {
728
+ "epoch": 9.77,
729
+ "learning_rate": 3.7376826367652057e-06,
730
+ "loss": 0.3553,
731
+ "step": 1070
732
+ },
733
+ {
734
+ "epoch": 9.86,
735
+ "learning_rate": 3.720693170234455e-06,
736
+ "loss": 0.3771,
737
+ "step": 1080
738
+ },
739
+ {
740
+ "epoch": 9.95,
741
+ "learning_rate": 3.7037037037037037e-06,
742
+ "loss": 0.3422,
743
+ "step": 1090
744
+ },
745
+ {
746
+ "epoch": 10.0,
747
+ "eval_accuracy": 0.9271070615034168,
748
+ "eval_loss": 0.27909907698631287,
749
+ "eval_runtime": 15.6791,
750
+ "eval_samples_per_second": 27.999,
751
+ "eval_steps_per_second": 7.016,
752
+ "step": 1095
753
+ },
754
+ {
755
+ "epoch": 10.05,
756
+ "learning_rate": 3.686714237172953e-06,
757
+ "loss": 0.3242,
758
+ "step": 1100
759
+ },
760
+ {
761
+ "epoch": 10.14,
762
+ "learning_rate": 3.6697247706422022e-06,
763
+ "loss": 0.3179,
764
+ "step": 1110
765
+ },
766
+ {
767
+ "epoch": 10.23,
768
+ "learning_rate": 3.6527353041114513e-06,
769
+ "loss": 0.3971,
770
+ "step": 1120
771
+ },
772
+ {
773
+ "epoch": 10.32,
774
+ "learning_rate": 3.6357458375807003e-06,
775
+ "loss": 0.3813,
776
+ "step": 1130
777
+ },
778
+ {
779
+ "epoch": 10.41,
780
+ "learning_rate": 3.6187563710499497e-06,
781
+ "loss": 0.3048,
782
+ "step": 1140
783
+ },
784
+ {
785
+ "epoch": 10.5,
786
+ "learning_rate": 3.6017669045191984e-06,
787
+ "loss": 0.3852,
788
+ "step": 1150
789
+ },
790
+ {
791
+ "epoch": 10.59,
792
+ "learning_rate": 3.5847774379884474e-06,
793
+ "loss": 0.3157,
794
+ "step": 1160
795
+ },
796
+ {
797
+ "epoch": 10.68,
798
+ "learning_rate": 3.5677879714576964e-06,
799
+ "loss": 0.3868,
800
+ "step": 1170
801
+ },
802
+ {
803
+ "epoch": 10.78,
804
+ "learning_rate": 3.5507985049269455e-06,
805
+ "loss": 0.3309,
806
+ "step": 1180
807
+ },
808
+ {
809
+ "epoch": 10.87,
810
+ "learning_rate": 3.533809038396195e-06,
811
+ "loss": 0.3372,
812
+ "step": 1190
813
+ },
814
+ {
815
+ "epoch": 10.96,
816
+ "learning_rate": 3.5168195718654435e-06,
817
+ "loss": 0.3358,
818
+ "step": 1200
819
+ },
820
+ {
821
+ "epoch": 11.0,
822
+ "eval_accuracy": 0.8246013667425968,
823
+ "eval_loss": 0.39981135725975037,
824
+ "eval_runtime": 15.5765,
825
+ "eval_samples_per_second": 28.183,
826
+ "eval_steps_per_second": 7.062,
827
+ "step": 1204
828
+ },
829
+ {
830
+ "epoch": 11.05,
831
+ "learning_rate": 3.499830105334693e-06,
832
+ "loss": 0.2943,
833
+ "step": 1210
834
+ },
835
+ {
836
+ "epoch": 11.14,
837
+ "learning_rate": 3.482840638803942e-06,
838
+ "loss": 0.4242,
839
+ "step": 1220
840
+ },
841
+ {
842
+ "epoch": 11.23,
843
+ "learning_rate": 3.4658511722731906e-06,
844
+ "loss": 0.2678,
845
+ "step": 1230
846
+ },
847
+ {
848
+ "epoch": 11.32,
849
+ "learning_rate": 3.44886170574244e-06,
850
+ "loss": 0.3375,
851
+ "step": 1240
852
+ },
853
+ {
854
+ "epoch": 11.42,
855
+ "learning_rate": 3.4318722392116887e-06,
856
+ "loss": 0.3046,
857
+ "step": 1250
858
+ },
859
+ {
860
+ "epoch": 11.51,
861
+ "learning_rate": 3.414882772680938e-06,
862
+ "loss": 0.3193,
863
+ "step": 1260
864
+ },
865
+ {
866
+ "epoch": 11.6,
867
+ "learning_rate": 3.397893306150187e-06,
868
+ "loss": 0.3037,
869
+ "step": 1270
870
+ },
871
+ {
872
+ "epoch": 11.69,
873
+ "learning_rate": 3.380903839619436e-06,
874
+ "loss": 0.2976,
875
+ "step": 1280
876
+ },
877
+ {
878
+ "epoch": 11.78,
879
+ "learning_rate": 3.3639143730886852e-06,
880
+ "loss": 0.4232,
881
+ "step": 1290
882
+ },
883
+ {
884
+ "epoch": 11.87,
885
+ "learning_rate": 3.3469249065579347e-06,
886
+ "loss": 0.3512,
887
+ "step": 1300
888
+ },
889
+ {
890
+ "epoch": 11.96,
891
+ "learning_rate": 3.3299354400271833e-06,
892
+ "loss": 0.3658,
893
+ "step": 1310
894
+ },
895
+ {
896
+ "epoch": 12.0,
897
+ "eval_accuracy": 0.9066059225512528,
898
+ "eval_loss": 0.27161121368408203,
899
+ "eval_runtime": 15.5481,
900
+ "eval_samples_per_second": 28.235,
901
+ "eval_steps_per_second": 7.075,
902
+ "step": 1314
903
+ },
904
+ {
905
+ "epoch": 12.05,
906
+ "learning_rate": 3.3129459734964323e-06,
907
+ "loss": 0.2998,
908
+ "step": 1320
909
+ },
910
+ {
911
+ "epoch": 12.15,
912
+ "learning_rate": 3.2959565069656818e-06,
913
+ "loss": 0.3566,
914
+ "step": 1330
915
+ },
916
+ {
917
+ "epoch": 12.24,
918
+ "learning_rate": 3.2789670404349304e-06,
919
+ "loss": 0.39,
920
+ "step": 1340
921
+ },
922
+ {
923
+ "epoch": 12.33,
924
+ "learning_rate": 3.26197757390418e-06,
925
+ "loss": 0.2815,
926
+ "step": 1350
927
+ },
928
+ {
929
+ "epoch": 12.42,
930
+ "learning_rate": 3.2449881073734285e-06,
931
+ "loss": 0.2475,
932
+ "step": 1360
933
+ },
934
+ {
935
+ "epoch": 12.51,
936
+ "learning_rate": 3.227998640842678e-06,
937
+ "loss": 0.386,
938
+ "step": 1370
939
+ },
940
+ {
941
+ "epoch": 12.6,
942
+ "learning_rate": 3.211009174311927e-06,
943
+ "loss": 0.328,
944
+ "step": 1380
945
+ },
946
+ {
947
+ "epoch": 12.69,
948
+ "learning_rate": 3.1940197077811756e-06,
949
+ "loss": 0.355,
950
+ "step": 1390
951
+ },
952
+ {
953
+ "epoch": 12.79,
954
+ "learning_rate": 3.177030241250425e-06,
955
+ "loss": 0.3311,
956
+ "step": 1400
957
+ },
958
+ {
959
+ "epoch": 12.88,
960
+ "learning_rate": 3.1600407747196745e-06,
961
+ "loss": 0.3144,
962
+ "step": 1410
963
+ },
964
+ {
965
+ "epoch": 12.97,
966
+ "learning_rate": 3.143051308188923e-06,
967
+ "loss": 0.4547,
968
+ "step": 1420
969
+ },
970
+ {
971
+ "epoch": 13.0,
972
+ "eval_accuracy": 0.7972665148063781,
973
+ "eval_loss": 0.5827615261077881,
974
+ "eval_runtime": 15.5305,
975
+ "eval_samples_per_second": 28.267,
976
+ "eval_steps_per_second": 7.083,
977
+ "step": 1423
978
+ },
979
+ {
980
+ "epoch": 13.06,
981
+ "learning_rate": 3.126061841658172e-06,
982
+ "loss": 0.3003,
983
+ "step": 1430
984
+ },
985
+ {
986
+ "epoch": 13.15,
987
+ "learning_rate": 3.109072375127421e-06,
988
+ "loss": 0.3906,
989
+ "step": 1440
990
+ },
991
+ {
992
+ "epoch": 13.24,
993
+ "learning_rate": 3.09208290859667e-06,
994
+ "loss": 0.2784,
995
+ "step": 1450
996
+ },
997
+ {
998
+ "epoch": 13.33,
999
+ "learning_rate": 3.0750934420659196e-06,
1000
+ "loss": 0.2384,
1001
+ "step": 1460
1002
+ },
1003
+ {
1004
+ "epoch": 13.42,
1005
+ "learning_rate": 3.0581039755351682e-06,
1006
+ "loss": 0.4107,
1007
+ "step": 1470
1008
+ },
1009
+ {
1010
+ "epoch": 13.52,
1011
+ "learning_rate": 3.0411145090044177e-06,
1012
+ "loss": 0.3306,
1013
+ "step": 1480
1014
+ },
1015
+ {
1016
+ "epoch": 13.61,
1017
+ "learning_rate": 3.0241250424736667e-06,
1018
+ "loss": 0.3872,
1019
+ "step": 1490
1020
+ },
1021
+ {
1022
+ "epoch": 13.7,
1023
+ "learning_rate": 3.0071355759429153e-06,
1024
+ "loss": 0.3002,
1025
+ "step": 1500
1026
+ },
1027
+ {
1028
+ "epoch": 13.79,
1029
+ "learning_rate": 2.990146109412165e-06,
1030
+ "loss": 0.3406,
1031
+ "step": 1510
1032
+ },
1033
+ {
1034
+ "epoch": 13.88,
1035
+ "learning_rate": 2.973156642881414e-06,
1036
+ "loss": 0.3361,
1037
+ "step": 1520
1038
+ },
1039
+ {
1040
+ "epoch": 13.97,
1041
+ "learning_rate": 2.956167176350663e-06,
1042
+ "loss": 0.2615,
1043
+ "step": 1530
1044
+ },
1045
+ {
1046
+ "epoch": 14.0,
1047
+ "eval_accuracy": 0.8542141230068337,
1048
+ "eval_loss": 0.34459054470062256,
1049
+ "eval_runtime": 14.8701,
1050
+ "eval_samples_per_second": 29.522,
1051
+ "eval_steps_per_second": 7.397,
1052
+ "step": 1533
1053
+ },
1054
+ {
1055
+ "epoch": 14.06,
1056
+ "learning_rate": 2.939177709819912e-06,
1057
+ "loss": 0.2604,
1058
+ "step": 1540
1059
+ },
1060
+ {
1061
+ "epoch": 14.16,
1062
+ "learning_rate": 2.922188243289161e-06,
1063
+ "loss": 0.3445,
1064
+ "step": 1550
1065
+ },
1066
+ {
1067
+ "epoch": 14.25,
1068
+ "learning_rate": 2.90519877675841e-06,
1069
+ "loss": 0.3383,
1070
+ "step": 1560
1071
+ },
1072
+ {
1073
+ "epoch": 14.34,
1074
+ "learning_rate": 2.8882093102276594e-06,
1075
+ "loss": 0.4095,
1076
+ "step": 1570
1077
+ },
1078
+ {
1079
+ "epoch": 14.43,
1080
+ "learning_rate": 2.871219843696908e-06,
1081
+ "loss": 0.3362,
1082
+ "step": 1580
1083
+ },
1084
+ {
1085
+ "epoch": 14.52,
1086
+ "learning_rate": 2.854230377166157e-06,
1087
+ "loss": 0.2658,
1088
+ "step": 1590
1089
+ },
1090
+ {
1091
+ "epoch": 14.61,
1092
+ "learning_rate": 2.8372409106354065e-06,
1093
+ "loss": 0.2915,
1094
+ "step": 1600
1095
+ },
1096
+ {
1097
+ "epoch": 14.7,
1098
+ "learning_rate": 2.820251444104655e-06,
1099
+ "loss": 0.3663,
1100
+ "step": 1610
1101
+ },
1102
+ {
1103
+ "epoch": 14.79,
1104
+ "learning_rate": 2.8032619775739046e-06,
1105
+ "loss": 0.3091,
1106
+ "step": 1620
1107
+ },
1108
+ {
1109
+ "epoch": 14.89,
1110
+ "learning_rate": 2.786272511043153e-06,
1111
+ "loss": 0.3601,
1112
+ "step": 1630
1113
+ },
1114
+ {
1115
+ "epoch": 14.98,
1116
+ "learning_rate": 2.7692830445124026e-06,
1117
+ "loss": 0.377,
1118
+ "step": 1640
1119
+ },
1120
+ {
1121
+ "epoch": 15.0,
1122
+ "eval_accuracy": 0.7312072892938497,
1123
+ "eval_loss": 0.6321907043457031,
1124
+ "eval_runtime": 15.6486,
1125
+ "eval_samples_per_second": 28.054,
1126
+ "eval_steps_per_second": 7.029,
1127
+ "step": 1642
1128
+ },
1129
+ {
1130
+ "epoch": 15.07,
1131
+ "learning_rate": 2.7522935779816517e-06,
1132
+ "loss": 0.3173,
1133
+ "step": 1650
1134
+ },
1135
+ {
1136
+ "epoch": 15.16,
1137
+ "learning_rate": 2.7353041114509003e-06,
1138
+ "loss": 0.4798,
1139
+ "step": 1660
1140
+ },
1141
+ {
1142
+ "epoch": 15.25,
1143
+ "learning_rate": 2.7183146449201497e-06,
1144
+ "loss": 0.2549,
1145
+ "step": 1670
1146
+ },
1147
+ {
1148
+ "epoch": 15.34,
1149
+ "learning_rate": 2.701325178389399e-06,
1150
+ "loss": 0.4005,
1151
+ "step": 1680
1152
+ },
1153
+ {
1154
+ "epoch": 15.43,
1155
+ "learning_rate": 2.684335711858648e-06,
1156
+ "loss": 0.3434,
1157
+ "step": 1690
1158
+ },
1159
+ {
1160
+ "epoch": 15.53,
1161
+ "learning_rate": 2.667346245327897e-06,
1162
+ "loss": 0.2837,
1163
+ "step": 1700
1164
+ },
1165
+ {
1166
+ "epoch": 15.62,
1167
+ "learning_rate": 2.6503567787971463e-06,
1168
+ "loss": 0.299,
1169
+ "step": 1710
1170
+ },
1171
+ {
1172
+ "epoch": 15.71,
1173
+ "learning_rate": 2.633367312266395e-06,
1174
+ "loss": 0.2967,
1175
+ "step": 1720
1176
+ },
1177
+ {
1178
+ "epoch": 15.8,
1179
+ "learning_rate": 2.6163778457356444e-06,
1180
+ "loss": 0.2949,
1181
+ "step": 1730
1182
+ },
1183
+ {
1184
+ "epoch": 15.89,
1185
+ "learning_rate": 2.599388379204893e-06,
1186
+ "loss": 0.3071,
1187
+ "step": 1740
1188
+ },
1189
+ {
1190
+ "epoch": 15.98,
1191
+ "learning_rate": 2.5823989126741424e-06,
1192
+ "loss": 0.2846,
1193
+ "step": 1750
1194
+ },
1195
+ {
1196
+ "epoch": 16.0,
1197
+ "eval_accuracy": 0.9248291571753986,
1198
+ "eval_loss": 0.26208364963531494,
1199
+ "eval_runtime": 15.5182,
1200
+ "eval_samples_per_second": 28.289,
1201
+ "eval_steps_per_second": 7.088,
1202
+ "step": 1752
1203
+ },
1204
+ {
1205
+ "epoch": 16.07,
1206
+ "learning_rate": 2.5654094461433915e-06,
1207
+ "loss": 0.3589,
1208
+ "step": 1760
1209
+ },
1210
+ {
1211
+ "epoch": 16.16,
1212
+ "learning_rate": 2.54841997961264e-06,
1213
+ "loss": 0.3031,
1214
+ "step": 1770
1215
+ },
1216
+ {
1217
+ "epoch": 16.26,
1218
+ "learning_rate": 2.5314305130818895e-06,
1219
+ "loss": 0.4131,
1220
+ "step": 1780
1221
+ },
1222
+ {
1223
+ "epoch": 16.35,
1224
+ "learning_rate": 2.5144410465511385e-06,
1225
+ "loss": 0.2396,
1226
+ "step": 1790
1227
+ },
1228
+ {
1229
+ "epoch": 16.44,
1230
+ "learning_rate": 2.4974515800203876e-06,
1231
+ "loss": 0.31,
1232
+ "step": 1800
1233
+ },
1234
+ {
1235
+ "epoch": 16.53,
1236
+ "learning_rate": 2.4804621134896366e-06,
1237
+ "loss": 0.3869,
1238
+ "step": 1810
1239
+ },
1240
+ {
1241
+ "epoch": 16.62,
1242
+ "learning_rate": 2.4634726469588856e-06,
1243
+ "loss": 0.2514,
1244
+ "step": 1820
1245
+ },
1246
+ {
1247
+ "epoch": 16.71,
1248
+ "learning_rate": 2.4464831804281347e-06,
1249
+ "loss": 0.3087,
1250
+ "step": 1830
1251
+ },
1252
+ {
1253
+ "epoch": 16.8,
1254
+ "learning_rate": 2.4294937138973837e-06,
1255
+ "loss": 0.2488,
1256
+ "step": 1840
1257
+ },
1258
+ {
1259
+ "epoch": 16.89,
1260
+ "learning_rate": 2.412504247366633e-06,
1261
+ "loss": 0.3072,
1262
+ "step": 1850
1263
+ },
1264
+ {
1265
+ "epoch": 16.99,
1266
+ "learning_rate": 2.3955147808358818e-06,
1267
+ "loss": 0.3433,
1268
+ "step": 1860
1269
+ },
1270
+ {
1271
+ "epoch": 17.0,
1272
+ "eval_accuracy": 0.8382687927107062,
1273
+ "eval_loss": 0.37089645862579346,
1274
+ "eval_runtime": 15.1226,
1275
+ "eval_samples_per_second": 29.029,
1276
+ "eval_steps_per_second": 7.274,
1277
+ "step": 1861
1278
+ },
1279
+ {
1280
+ "epoch": 17.08,
1281
+ "learning_rate": 2.378525314305131e-06,
1282
+ "loss": 0.2911,
1283
+ "step": 1870
1284
+ },
1285
+ {
1286
+ "epoch": 17.17,
1287
+ "learning_rate": 2.36153584777438e-06,
1288
+ "loss": 0.2909,
1289
+ "step": 1880
1290
+ },
1291
+ {
1292
+ "epoch": 17.26,
1293
+ "learning_rate": 2.3445463812436293e-06,
1294
+ "loss": 0.3273,
1295
+ "step": 1890
1296
+ },
1297
+ {
1298
+ "epoch": 17.35,
1299
+ "learning_rate": 2.3275569147128783e-06,
1300
+ "loss": 0.2219,
1301
+ "step": 1900
1302
+ },
1303
+ {
1304
+ "epoch": 17.44,
1305
+ "learning_rate": 2.3105674481821274e-06,
1306
+ "loss": 0.4021,
1307
+ "step": 1910
1308
+ },
1309
+ {
1310
+ "epoch": 17.53,
1311
+ "learning_rate": 2.2935779816513764e-06,
1312
+ "loss": 0.3224,
1313
+ "step": 1920
1314
+ },
1315
+ {
1316
+ "epoch": 17.63,
1317
+ "learning_rate": 2.2765885151206254e-06,
1318
+ "loss": 0.4674,
1319
+ "step": 1930
1320
+ },
1321
+ {
1322
+ "epoch": 17.72,
1323
+ "learning_rate": 2.2595990485898745e-06,
1324
+ "loss": 0.382,
1325
+ "step": 1940
1326
+ },
1327
+ {
1328
+ "epoch": 17.81,
1329
+ "learning_rate": 2.2426095820591235e-06,
1330
+ "loss": 0.2151,
1331
+ "step": 1950
1332
+ },
1333
+ {
1334
+ "epoch": 17.9,
1335
+ "learning_rate": 2.2256201155283725e-06,
1336
+ "loss": 0.3831,
1337
+ "step": 1960
1338
+ },
1339
+ {
1340
+ "epoch": 17.99,
1341
+ "learning_rate": 2.2086306489976216e-06,
1342
+ "loss": 0.2851,
1343
+ "step": 1970
1344
+ },
1345
+ {
1346
+ "epoch": 18.0,
1347
+ "eval_accuracy": 0.7312072892938497,
1348
+ "eval_loss": 0.8134105205535889,
1349
+ "eval_runtime": 15.5297,
1350
+ "eval_samples_per_second": 28.268,
1351
+ "eval_steps_per_second": 7.083,
1352
+ "step": 1971
1353
+ },
1354
+ {
1355
+ "epoch": 18.08,
1356
+ "learning_rate": 2.1916411824668706e-06,
1357
+ "loss": 0.2192,
1358
+ "step": 1980
1359
+ },
1360
+ {
1361
+ "epoch": 18.17,
1362
+ "learning_rate": 2.1746517159361196e-06,
1363
+ "loss": 0.2858,
1364
+ "step": 1990
1365
+ },
1366
+ {
1367
+ "epoch": 18.26,
1368
+ "learning_rate": 2.157662249405369e-06,
1369
+ "loss": 0.3613,
1370
+ "step": 2000
1371
+ },
1372
+ {
1373
+ "epoch": 18.36,
1374
+ "learning_rate": 2.140672782874618e-06,
1375
+ "loss": 0.2634,
1376
+ "step": 2010
1377
+ },
1378
+ {
1379
+ "epoch": 18.45,
1380
+ "learning_rate": 2.123683316343867e-06,
1381
+ "loss": 0.2932,
1382
+ "step": 2020
1383
+ },
1384
+ {
1385
+ "epoch": 18.54,
1386
+ "learning_rate": 2.1066938498131157e-06,
1387
+ "loss": 0.2533,
1388
+ "step": 2030
1389
+ },
1390
+ {
1391
+ "epoch": 18.63,
1392
+ "learning_rate": 2.089704383282365e-06,
1393
+ "loss": 0.3337,
1394
+ "step": 2040
1395
+ },
1396
+ {
1397
+ "epoch": 18.72,
1398
+ "learning_rate": 2.0727149167516142e-06,
1399
+ "loss": 0.4353,
1400
+ "step": 2050
1401
+ },
1402
+ {
1403
+ "epoch": 18.81,
1404
+ "learning_rate": 2.0557254502208633e-06,
1405
+ "loss": 0.3477,
1406
+ "step": 2060
1407
+ },
1408
+ {
1409
+ "epoch": 18.9,
1410
+ "learning_rate": 2.0387359836901123e-06,
1411
+ "loss": 0.2786,
1412
+ "step": 2070
1413
+ },
1414
+ {
1415
+ "epoch": 19.0,
1416
+ "learning_rate": 2.0217465171593613e-06,
1417
+ "loss": 0.2298,
1418
+ "step": 2080
1419
+ },
1420
+ {
1421
+ "epoch": 19.0,
1422
+ "eval_accuracy": 0.8314350797266514,
1423
+ "eval_loss": 0.4324374198913574,
1424
+ "eval_runtime": 15.4736,
1425
+ "eval_samples_per_second": 28.371,
1426
+ "eval_steps_per_second": 7.109,
1427
+ "step": 2080
1428
+ },
1429
+ {
1430
+ "epoch": 19.09,
1431
+ "learning_rate": 2.0047570506286104e-06,
1432
+ "loss": 0.3369,
1433
+ "step": 2090
1434
+ },
1435
+ {
1436
+ "epoch": 19.18,
1437
+ "learning_rate": 1.9877675840978594e-06,
1438
+ "loss": 0.3051,
1439
+ "step": 2100
1440
+ },
1441
+ {
1442
+ "epoch": 19.27,
1443
+ "learning_rate": 1.970778117567109e-06,
1444
+ "loss": 0.2775,
1445
+ "step": 2110
1446
+ },
1447
+ {
1448
+ "epoch": 19.36,
1449
+ "learning_rate": 1.9537886510363575e-06,
1450
+ "loss": 0.2708,
1451
+ "step": 2120
1452
+ },
1453
+ {
1454
+ "epoch": 19.45,
1455
+ "learning_rate": 1.9367991845056065e-06,
1456
+ "loss": 0.2424,
1457
+ "step": 2130
1458
+ },
1459
+ {
1460
+ "epoch": 19.54,
1461
+ "learning_rate": 1.9198097179748555e-06,
1462
+ "loss": 0.3806,
1463
+ "step": 2140
1464
+ },
1465
+ {
1466
+ "epoch": 19.63,
1467
+ "learning_rate": 1.902820251444105e-06,
1468
+ "loss": 0.3573,
1469
+ "step": 2150
1470
+ },
1471
+ {
1472
+ "epoch": 19.73,
1473
+ "learning_rate": 1.885830784913354e-06,
1474
+ "loss": 0.34,
1475
+ "step": 2160
1476
+ },
1477
+ {
1478
+ "epoch": 19.82,
1479
+ "learning_rate": 1.8688413183826028e-06,
1480
+ "loss": 0.3165,
1481
+ "step": 2170
1482
+ },
1483
+ {
1484
+ "epoch": 19.91,
1485
+ "learning_rate": 1.8518518518518519e-06,
1486
+ "loss": 0.2916,
1487
+ "step": 2180
1488
+ },
1489
+ {
1490
+ "epoch": 20.0,
1491
+ "learning_rate": 1.8348623853211011e-06,
1492
+ "loss": 0.3916,
1493
+ "step": 2190
1494
+ },
1495
+ {
1496
+ "epoch": 20.0,
1497
+ "eval_accuracy": 0.835990888382688,
1498
+ "eval_loss": 0.3630986213684082,
1499
+ "eval_runtime": 15.5226,
1500
+ "eval_samples_per_second": 28.281,
1501
+ "eval_steps_per_second": 7.086,
1502
+ "step": 2190
1503
+ },
1504
+ {
1505
+ "epoch": 20.09,
1506
+ "learning_rate": 1.8178729187903501e-06,
1507
+ "loss": 0.2495,
1508
+ "step": 2200
1509
+ },
1510
+ {
1511
+ "epoch": 20.18,
1512
+ "learning_rate": 1.8008834522595992e-06,
1513
+ "loss": 0.3902,
1514
+ "step": 2210
1515
+ },
1516
+ {
1517
+ "epoch": 20.27,
1518
+ "learning_rate": 1.7838939857288482e-06,
1519
+ "loss": 0.3424,
1520
+ "step": 2220
1521
+ },
1522
+ {
1523
+ "epoch": 20.37,
1524
+ "learning_rate": 1.7669045191980975e-06,
1525
+ "loss": 0.3917,
1526
+ "step": 2230
1527
+ },
1528
+ {
1529
+ "epoch": 20.46,
1530
+ "learning_rate": 1.7499150526673465e-06,
1531
+ "loss": 0.3536,
1532
+ "step": 2240
1533
+ },
1534
+ {
1535
+ "epoch": 20.55,
1536
+ "learning_rate": 1.7329255861365953e-06,
1537
+ "loss": 0.4027,
1538
+ "step": 2250
1539
+ },
1540
+ {
1541
+ "epoch": 20.64,
1542
+ "learning_rate": 1.7159361196058443e-06,
1543
+ "loss": 0.3398,
1544
+ "step": 2260
1545
+ },
1546
+ {
1547
+ "epoch": 20.73,
1548
+ "learning_rate": 1.6989466530750936e-06,
1549
+ "loss": 0.2889,
1550
+ "step": 2270
1551
+ },
1552
+ {
1553
+ "epoch": 20.82,
1554
+ "learning_rate": 1.6819571865443426e-06,
1555
+ "loss": 0.2609,
1556
+ "step": 2280
1557
+ },
1558
+ {
1559
+ "epoch": 20.91,
1560
+ "learning_rate": 1.6649677200135916e-06,
1561
+ "loss": 0.3049,
1562
+ "step": 2290
1563
+ },
1564
+ {
1565
+ "epoch": 21.0,
1566
+ "eval_accuracy": 0.8633257403189066,
1567
+ "eval_loss": 0.34050509333610535,
1568
+ "eval_runtime": 15.539,
1569
+ "eval_samples_per_second": 28.251,
1570
+ "eval_steps_per_second": 7.079,
1571
+ "step": 2299
1572
+ },
1573
+ {
1574
+ "epoch": 21.0,
1575
+ "learning_rate": 1.6479782534828409e-06,
1576
+ "loss": 0.3258,
1577
+ "step": 2300
1578
+ },
1579
+ {
1580
+ "epoch": 21.1,
1581
+ "learning_rate": 1.63098878695209e-06,
1582
+ "loss": 0.3284,
1583
+ "step": 2310
1584
+ },
1585
+ {
1586
+ "epoch": 21.19,
1587
+ "learning_rate": 1.613999320421339e-06,
1588
+ "loss": 0.2377,
1589
+ "step": 2320
1590
+ },
1591
+ {
1592
+ "epoch": 21.28,
1593
+ "learning_rate": 1.5970098538905878e-06,
1594
+ "loss": 0.2422,
1595
+ "step": 2330
1596
+ },
1597
+ {
1598
+ "epoch": 21.37,
1599
+ "learning_rate": 1.5800203873598372e-06,
1600
+ "loss": 0.3573,
1601
+ "step": 2340
1602
+ },
1603
+ {
1604
+ "epoch": 21.46,
1605
+ "learning_rate": 1.563030920829086e-06,
1606
+ "loss": 0.328,
1607
+ "step": 2350
1608
+ },
1609
+ {
1610
+ "epoch": 21.55,
1611
+ "learning_rate": 1.546041454298335e-06,
1612
+ "loss": 0.2921,
1613
+ "step": 2360
1614
+ },
1615
+ {
1616
+ "epoch": 21.64,
1617
+ "learning_rate": 1.5290519877675841e-06,
1618
+ "loss": 0.3243,
1619
+ "step": 2370
1620
+ },
1621
+ {
1622
+ "epoch": 21.74,
1623
+ "learning_rate": 1.5120625212368334e-06,
1624
+ "loss": 0.276,
1625
+ "step": 2380
1626
+ },
1627
+ {
1628
+ "epoch": 21.83,
1629
+ "learning_rate": 1.4950730547060824e-06,
1630
+ "loss": 0.4304,
1631
+ "step": 2390
1632
+ },
1633
+ {
1634
+ "epoch": 21.92,
1635
+ "learning_rate": 1.4780835881753314e-06,
1636
+ "loss": 0.3068,
1637
+ "step": 2400
1638
+ },
1639
+ {
1640
+ "epoch": 22.0,
1641
+ "eval_accuracy": 0.9020501138952164,
1642
+ "eval_loss": 0.2584730386734009,
1643
+ "eval_runtime": 15.0297,
1644
+ "eval_samples_per_second": 29.209,
1645
+ "eval_steps_per_second": 7.319,
1646
+ "step": 2409
1647
+ },
1648
+ {
1649
+ "epoch": 22.01,
1650
+ "learning_rate": 1.4610941216445805e-06,
1651
+ "loss": 0.2891,
1652
+ "step": 2410
1653
+ },
1654
+ {
1655
+ "epoch": 22.1,
1656
+ "learning_rate": 1.4441046551138297e-06,
1657
+ "loss": 0.2476,
1658
+ "step": 2420
1659
+ },
1660
+ {
1661
+ "epoch": 22.19,
1662
+ "learning_rate": 1.4271151885830785e-06,
1663
+ "loss": 0.4231,
1664
+ "step": 2430
1665
+ },
1666
+ {
1667
+ "epoch": 22.28,
1668
+ "learning_rate": 1.4101257220523276e-06,
1669
+ "loss": 0.3402,
1670
+ "step": 2440
1671
+ },
1672
+ {
1673
+ "epoch": 22.37,
1674
+ "learning_rate": 1.3931362555215766e-06,
1675
+ "loss": 0.2521,
1676
+ "step": 2450
1677
+ },
1678
+ {
1679
+ "epoch": 22.47,
1680
+ "learning_rate": 1.3761467889908258e-06,
1681
+ "loss": 0.2561,
1682
+ "step": 2460
1683
+ },
1684
+ {
1685
+ "epoch": 22.56,
1686
+ "learning_rate": 1.3591573224600749e-06,
1687
+ "loss": 0.3374,
1688
+ "step": 2470
1689
+ },
1690
+ {
1691
+ "epoch": 22.65,
1692
+ "learning_rate": 1.342167855929324e-06,
1693
+ "loss": 0.2368,
1694
+ "step": 2480
1695
+ },
1696
+ {
1697
+ "epoch": 22.74,
1698
+ "learning_rate": 1.3251783893985731e-06,
1699
+ "loss": 0.2519,
1700
+ "step": 2490
1701
+ },
1702
+ {
1703
+ "epoch": 22.83,
1704
+ "learning_rate": 1.3081889228678222e-06,
1705
+ "loss": 0.3171,
1706
+ "step": 2500
1707
+ },
1708
+ {
1709
+ "epoch": 22.92,
1710
+ "learning_rate": 1.2911994563370712e-06,
1711
+ "loss": 0.3091,
1712
+ "step": 2510
1713
+ },
1714
+ {
1715
+ "epoch": 23.0,
1716
+ "eval_accuracy": 0.929384965831435,
1717
+ "eval_loss": 0.22778519988059998,
1718
+ "eval_runtime": 15.3862,
1719
+ "eval_samples_per_second": 28.532,
1720
+ "eval_steps_per_second": 7.149,
1721
+ "step": 2518
1722
+ },
1723
+ {
1724
+ "epoch": 23.01,
1725
+ "learning_rate": 1.27420998980632e-06,
1726
+ "loss": 0.3511,
1727
+ "step": 2520
1728
+ },
1729
+ {
1730
+ "epoch": 23.11,
1731
+ "learning_rate": 1.2572205232755693e-06,
1732
+ "loss": 0.3207,
1733
+ "step": 2530
1734
+ },
1735
+ {
1736
+ "epoch": 23.2,
1737
+ "learning_rate": 1.2402310567448183e-06,
1738
+ "loss": 0.2925,
1739
+ "step": 2540
1740
+ },
1741
+ {
1742
+ "epoch": 23.29,
1743
+ "learning_rate": 1.2232415902140673e-06,
1744
+ "loss": 0.2371,
1745
+ "step": 2550
1746
+ },
1747
+ {
1748
+ "epoch": 23.38,
1749
+ "learning_rate": 1.2062521236833166e-06,
1750
+ "loss": 0.291,
1751
+ "step": 2560
1752
+ },
1753
+ {
1754
+ "epoch": 23.47,
1755
+ "learning_rate": 1.1892626571525654e-06,
1756
+ "loss": 0.2599,
1757
+ "step": 2570
1758
+ },
1759
+ {
1760
+ "epoch": 23.56,
1761
+ "learning_rate": 1.1722731906218146e-06,
1762
+ "loss": 0.3854,
1763
+ "step": 2580
1764
+ },
1765
+ {
1766
+ "epoch": 23.65,
1767
+ "learning_rate": 1.1552837240910637e-06,
1768
+ "loss": 0.3169,
1769
+ "step": 2590
1770
+ },
1771
+ {
1772
+ "epoch": 23.74,
1773
+ "learning_rate": 1.1382942575603127e-06,
1774
+ "loss": 0.2974,
1775
+ "step": 2600
1776
+ },
1777
+ {
1778
+ "epoch": 23.84,
1779
+ "learning_rate": 1.1213047910295617e-06,
1780
+ "loss": 0.3056,
1781
+ "step": 2610
1782
+ },
1783
+ {
1784
+ "epoch": 23.93,
1785
+ "learning_rate": 1.1043153244988108e-06,
1786
+ "loss": 0.2749,
1787
+ "step": 2620
1788
+ },
1789
+ {
1790
+ "epoch": 24.0,
1791
+ "eval_accuracy": 0.9043280182232346,
1792
+ "eval_loss": 0.29632171988487244,
1793
+ "eval_runtime": 15.3925,
1794
+ "eval_samples_per_second": 28.52,
1795
+ "eval_steps_per_second": 7.146,
1796
+ "step": 2628
1797
+ },
1798
+ {
1799
+ "epoch": 24.02,
1800
+ "learning_rate": 1.0873258579680598e-06,
1801
+ "loss": 0.2837,
1802
+ "step": 2630
1803
+ },
1804
+ {
1805
+ "epoch": 24.11,
1806
+ "learning_rate": 1.070336391437309e-06,
1807
+ "loss": 0.2906,
1808
+ "step": 2640
1809
+ },
1810
+ {
1811
+ "epoch": 24.2,
1812
+ "learning_rate": 1.0533469249065579e-06,
1813
+ "loss": 0.2831,
1814
+ "step": 2650
1815
+ },
1816
+ {
1817
+ "epoch": 24.29,
1818
+ "learning_rate": 1.0363574583758071e-06,
1819
+ "loss": 0.2712,
1820
+ "step": 2660
1821
+ },
1822
+ {
1823
+ "epoch": 24.38,
1824
+ "learning_rate": 1.0193679918450562e-06,
1825
+ "loss": 0.2971,
1826
+ "step": 2670
1827
+ },
1828
+ {
1829
+ "epoch": 24.47,
1830
+ "learning_rate": 1.0023785253143052e-06,
1831
+ "loss": 0.2782,
1832
+ "step": 2680
1833
+ },
1834
+ {
1835
+ "epoch": 24.57,
1836
+ "learning_rate": 9.853890587835544e-07,
1837
+ "loss": 0.2694,
1838
+ "step": 2690
1839
+ },
1840
+ {
1841
+ "epoch": 24.66,
1842
+ "learning_rate": 9.683995922528032e-07,
1843
+ "loss": 0.3956,
1844
+ "step": 2700
1845
+ },
1846
+ {
1847
+ "epoch": 24.75,
1848
+ "learning_rate": 9.514101257220525e-07,
1849
+ "loss": 0.2838,
1850
+ "step": 2710
1851
+ },
1852
+ {
1853
+ "epoch": 24.84,
1854
+ "learning_rate": 9.344206591913014e-07,
1855
+ "loss": 0.3524,
1856
+ "step": 2720
1857
+ },
1858
+ {
1859
+ "epoch": 24.93,
1860
+ "learning_rate": 9.174311926605506e-07,
1861
+ "loss": 0.3543,
1862
+ "step": 2730
1863
+ },
1864
+ {
1865
+ "epoch": 25.0,
1866
+ "eval_accuracy": 0.89749430523918,
1867
+ "eval_loss": 0.2636982798576355,
1868
+ "eval_runtime": 15.4509,
1869
+ "eval_samples_per_second": 28.413,
1870
+ "eval_steps_per_second": 7.119,
1871
+ "step": 2737
1872
+ },
1873
+ {
1874
+ "epoch": 25.02,
1875
+ "learning_rate": 9.004417261297996e-07,
1876
+ "loss": 0.2743,
1877
+ "step": 2740
1878
+ },
1879
+ {
1880
+ "epoch": 25.11,
1881
+ "learning_rate": 8.834522595990487e-07,
1882
+ "loss": 0.3054,
1883
+ "step": 2750
1884
+ },
1885
+ {
1886
+ "epoch": 25.21,
1887
+ "learning_rate": 8.664627930682977e-07,
1888
+ "loss": 0.2331,
1889
+ "step": 2760
1890
+ },
1891
+ {
1892
+ "epoch": 25.3,
1893
+ "learning_rate": 8.494733265375468e-07,
1894
+ "loss": 0.2292,
1895
+ "step": 2770
1896
+ },
1897
+ {
1898
+ "epoch": 25.39,
1899
+ "learning_rate": 8.324838600067958e-07,
1900
+ "loss": 0.3069,
1901
+ "step": 2780
1902
+ },
1903
+ {
1904
+ "epoch": 25.48,
1905
+ "learning_rate": 8.15494393476045e-07,
1906
+ "loss": 0.3656,
1907
+ "step": 2790
1908
+ },
1909
+ {
1910
+ "epoch": 25.57,
1911
+ "learning_rate": 7.985049269452939e-07,
1912
+ "loss": 0.3221,
1913
+ "step": 2800
1914
+ },
1915
+ {
1916
+ "epoch": 25.66,
1917
+ "learning_rate": 7.81515460414543e-07,
1918
+ "loss": 0.2209,
1919
+ "step": 2810
1920
+ },
1921
+ {
1922
+ "epoch": 25.75,
1923
+ "learning_rate": 7.645259938837921e-07,
1924
+ "loss": 0.3988,
1925
+ "step": 2820
1926
+ },
1927
+ {
1928
+ "epoch": 25.84,
1929
+ "learning_rate": 7.475365273530412e-07,
1930
+ "loss": 0.2766,
1931
+ "step": 2830
1932
+ },
1933
+ {
1934
+ "epoch": 25.94,
1935
+ "learning_rate": 7.305470608222902e-07,
1936
+ "loss": 0.3024,
1937
+ "step": 2840
1938
+ },
1939
+ {
1940
+ "epoch": 26.0,
1941
+ "eval_accuracy": 0.8997722095671982,
1942
+ "eval_loss": 0.2966226637363434,
1943
+ "eval_runtime": 15.5278,
1944
+ "eval_samples_per_second": 28.272,
1945
+ "eval_steps_per_second": 7.084,
1946
+ "step": 2847
1947
+ },
1948
+ {
1949
+ "epoch": 26.03,
1950
+ "learning_rate": 7.135575942915393e-07,
1951
+ "loss": 0.2659,
1952
+ "step": 2850
1953
+ },
1954
+ {
1955
+ "epoch": 26.12,
1956
+ "learning_rate": 6.965681277607883e-07,
1957
+ "loss": 0.32,
1958
+ "step": 2860
1959
+ },
1960
+ {
1961
+ "epoch": 26.21,
1962
+ "learning_rate": 6.795786612300374e-07,
1963
+ "loss": 0.3336,
1964
+ "step": 2870
1965
+ },
1966
+ {
1967
+ "epoch": 26.3,
1968
+ "learning_rate": 6.625891946992866e-07,
1969
+ "loss": 0.2326,
1970
+ "step": 2880
1971
+ },
1972
+ {
1973
+ "epoch": 26.39,
1974
+ "learning_rate": 6.455997281685356e-07,
1975
+ "loss": 0.2657,
1976
+ "step": 2890
1977
+ },
1978
+ {
1979
+ "epoch": 26.48,
1980
+ "learning_rate": 6.286102616377846e-07,
1981
+ "loss": 0.3482,
1982
+ "step": 2900
1983
+ },
1984
+ {
1985
+ "epoch": 26.58,
1986
+ "learning_rate": 6.116207951070337e-07,
1987
+ "loss": 0.3089,
1988
+ "step": 2910
1989
+ },
1990
+ {
1991
+ "epoch": 26.67,
1992
+ "learning_rate": 5.946313285762827e-07,
1993
+ "loss": 0.2407,
1994
+ "step": 2920
1995
+ },
1996
+ {
1997
+ "epoch": 26.76,
1998
+ "learning_rate": 5.776418620455318e-07,
1999
+ "loss": 0.2431,
2000
+ "step": 2930
2001
+ },
2002
+ {
2003
+ "epoch": 26.85,
2004
+ "learning_rate": 5.606523955147809e-07,
2005
+ "loss": 0.3574,
2006
+ "step": 2940
2007
+ },
2008
+ {
2009
+ "epoch": 26.94,
2010
+ "learning_rate": 5.436629289840299e-07,
2011
+ "loss": 0.2593,
2012
+ "step": 2950
2013
+ },
2014
+ {
2015
+ "epoch": 27.0,
2016
+ "eval_accuracy": 0.8542141230068337,
2017
+ "eval_loss": 0.38415804505348206,
2018
+ "eval_runtime": 15.5444,
2019
+ "eval_samples_per_second": 28.242,
2020
+ "eval_steps_per_second": 7.077,
2021
+ "step": 2956
2022
+ },
2023
+ {
2024
+ "epoch": 27.03,
2025
+ "learning_rate": 5.266734624532789e-07,
2026
+ "loss": 0.1965,
2027
+ "step": 2960
2028
+ },
2029
+ {
2030
+ "epoch": 27.12,
2031
+ "learning_rate": 5.096839959225281e-07,
2032
+ "loss": 0.3291,
2033
+ "step": 2970
2034
+ },
2035
+ {
2036
+ "epoch": 27.21,
2037
+ "learning_rate": 4.926945293917772e-07,
2038
+ "loss": 0.3044,
2039
+ "step": 2980
2040
+ },
2041
+ {
2042
+ "epoch": 27.31,
2043
+ "learning_rate": 4.7570506286102625e-07,
2044
+ "loss": 0.238,
2045
+ "step": 2990
2046
+ },
2047
+ {
2048
+ "epoch": 27.4,
2049
+ "learning_rate": 4.587155963302753e-07,
2050
+ "loss": 0.2551,
2051
+ "step": 3000
2052
+ },
2053
+ {
2054
+ "epoch": 27.49,
2055
+ "learning_rate": 4.4172612979952436e-07,
2056
+ "loss": 0.3306,
2057
+ "step": 3010
2058
+ },
2059
+ {
2060
+ "epoch": 27.58,
2061
+ "learning_rate": 4.247366632687734e-07,
2062
+ "loss": 0.3372,
2063
+ "step": 3020
2064
+ },
2065
+ {
2066
+ "epoch": 27.67,
2067
+ "learning_rate": 4.077471967380225e-07,
2068
+ "loss": 0.2652,
2069
+ "step": 3030
2070
+ },
2071
+ {
2072
+ "epoch": 27.76,
2073
+ "learning_rate": 3.907577302072715e-07,
2074
+ "loss": 0.2628,
2075
+ "step": 3040
2076
+ },
2077
+ {
2078
+ "epoch": 27.85,
2079
+ "learning_rate": 3.737682636765206e-07,
2080
+ "loss": 0.3093,
2081
+ "step": 3050
2082
+ },
2083
+ {
2084
+ "epoch": 27.95,
2085
+ "learning_rate": 3.5677879714576963e-07,
2086
+ "loss": 0.1979,
2087
+ "step": 3060
2088
+ },
2089
+ {
2090
+ "epoch": 28.0,
2091
+ "eval_accuracy": 0.8883826879271071,
2092
+ "eval_loss": 0.2710832953453064,
2093
+ "eval_runtime": 15.5551,
2094
+ "eval_samples_per_second": 28.222,
2095
+ "eval_steps_per_second": 7.072,
2096
+ "step": 3066
2097
+ },
2098
+ {
2099
+ "epoch": 28.04,
2100
+ "learning_rate": 3.397893306150187e-07,
2101
+ "loss": 0.3079,
2102
+ "step": 3070
2103
+ },
2104
+ {
2105
+ "epoch": 28.13,
2106
+ "learning_rate": 3.227998640842678e-07,
2107
+ "loss": 0.2954,
2108
+ "step": 3080
2109
+ },
2110
+ {
2111
+ "epoch": 28.22,
2112
+ "learning_rate": 3.0581039755351683e-07,
2113
+ "loss": 0.2696,
2114
+ "step": 3090
2115
+ },
2116
+ {
2117
+ "epoch": 28.31,
2118
+ "learning_rate": 2.888209310227659e-07,
2119
+ "loss": 0.2861,
2120
+ "step": 3100
2121
+ },
2122
+ {
2123
+ "epoch": 28.4,
2124
+ "learning_rate": 2.7183146449201495e-07,
2125
+ "loss": 0.3212,
2126
+ "step": 3110
2127
+ },
2128
+ {
2129
+ "epoch": 28.49,
2130
+ "learning_rate": 2.5484199796126404e-07,
2131
+ "loss": 0.3397,
2132
+ "step": 3120
2133
+ },
2134
+ {
2135
+ "epoch": 28.58,
2136
+ "learning_rate": 2.3785253143051312e-07,
2137
+ "loss": 0.1939,
2138
+ "step": 3130
2139
+ },
2140
+ {
2141
+ "epoch": 28.68,
2142
+ "learning_rate": 2.2086306489976218e-07,
2143
+ "loss": 0.258,
2144
+ "step": 3140
2145
+ },
2146
+ {
2147
+ "epoch": 28.77,
2148
+ "learning_rate": 2.0387359836901124e-07,
2149
+ "loss": 0.2138,
2150
+ "step": 3150
2151
+ },
2152
+ {
2153
+ "epoch": 28.86,
2154
+ "learning_rate": 1.868841318382603e-07,
2155
+ "loss": 0.2533,
2156
+ "step": 3160
2157
+ },
2158
+ {
2159
+ "epoch": 28.95,
2160
+ "learning_rate": 1.6989466530750936e-07,
2161
+ "loss": 0.2549,
2162
+ "step": 3170
2163
+ },
2164
+ {
2165
+ "epoch": 29.0,
2166
+ "eval_accuracy": 0.8633257403189066,
2167
+ "eval_loss": 0.3145107626914978,
2168
+ "eval_runtime": 15.5449,
2169
+ "eval_samples_per_second": 28.241,
2170
+ "eval_steps_per_second": 7.076,
2171
+ "step": 3175
2172
+ },
2173
+ {
2174
+ "epoch": 29.04,
2175
+ "learning_rate": 1.5290519877675842e-07,
2176
+ "loss": 0.3133,
2177
+ "step": 3180
2178
+ },
2179
+ {
2180
+ "epoch": 29.13,
2181
+ "learning_rate": 1.3591573224600748e-07,
2182
+ "loss": 0.2734,
2183
+ "step": 3190
2184
+ },
2185
+ {
2186
+ "epoch": 29.22,
2187
+ "learning_rate": 1.1892626571525656e-07,
2188
+ "loss": 0.2771,
2189
+ "step": 3200
2190
+ },
2191
+ {
2192
+ "epoch": 29.32,
2193
+ "learning_rate": 1.0193679918450562e-07,
2194
+ "loss": 0.292,
2195
+ "step": 3210
2196
+ },
2197
+ {
2198
+ "epoch": 29.41,
2199
+ "learning_rate": 8.494733265375468e-08,
2200
+ "loss": 0.3424,
2201
+ "step": 3220
2202
+ },
2203
+ {
2204
+ "epoch": 29.5,
2205
+ "learning_rate": 6.795786612300374e-08,
2206
+ "loss": 0.282,
2207
+ "step": 3230
2208
+ },
2209
+ {
2210
+ "epoch": 29.59,
2211
+ "learning_rate": 5.096839959225281e-08,
2212
+ "loss": 0.2225,
2213
+ "step": 3240
2214
+ },
2215
+ {
2216
+ "epoch": 29.68,
2217
+ "learning_rate": 3.397893306150187e-08,
2218
+ "loss": 0.2768,
2219
+ "step": 3250
2220
+ },
2221
+ {
2222
+ "epoch": 29.77,
2223
+ "learning_rate": 1.6989466530750935e-08,
2224
+ "loss": 0.364,
2225
+ "step": 3260
2226
+ },
2227
+ {
2228
+ "epoch": 29.86,
2229
+ "learning_rate": 0.0,
2230
+ "loss": 0.3216,
2231
+ "step": 3270
2232
+ },
2233
+ {
2234
+ "epoch": 29.86,
2235
+ "eval_accuracy": 0.8154897494305239,
2236
+ "eval_loss": 0.4564669728279114,
2237
+ "eval_runtime": 15.3193,
2238
+ "eval_samples_per_second": 28.657,
2239
+ "eval_steps_per_second": 7.181,
2240
+ "step": 3270
2241
+ },
2242
+ {
2243
+ "epoch": 29.86,
2244
+ "step": 3270,
2245
+ "total_flos": 2.1986190125590118e+18,
2246
+ "train_loss": 0.3750012589521729,
2247
+ "train_runtime": 3633.2931,
2248
+ "train_samples_per_second": 14.466,
2249
+ "train_steps_per_second": 0.9
2250
+ }
2251
+ ],
2252
+ "max_steps": 3270,
2253
+ "num_train_epochs": 30,
2254
+ "total_flos": 2.1986190125590118e+18,
2255
+ "trial_name": null,
2256
+ "trial_params": null
2257
+ }