farleyknight commited on
Commit
f4acb84
1 Parent(s): 21e3595

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9947777777777778,
4
+ "eval_loss": 0.023610670119524002,
5
+ "eval_runtime": 37.1335,
6
+ "eval_samples_per_second": 242.369,
7
+ "eval_steps_per_second": 30.296,
8
+ "train_loss": 0.37173893965178845,
9
+ "train_runtime": 3249.9087,
10
+ "train_samples_per_second": 78.464,
11
+ "train_steps_per_second": 9.808
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "eval_accuracy": 0.9947777777777778,
4
+ "eval_loss": 0.023610670119524002,
5
+ "eval_runtime": 37.1335,
6
+ "eval_samples_per_second": 242.369,
7
+ "eval_steps_per_second": 30.296
8
+ }
runs/Aug21_16-58-06_psf8srwr6/events.out.tfevents.1661104417.psf8srwr6.463.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83e9299020221ab1e568579388069ed11f0702be7c3c4510e6dffa1d4866a485
3
+ size 369
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "train_loss": 0.37173893965178845,
4
+ "train_runtime": 3249.9087,
5
+ "train_samples_per_second": 78.464,
6
+ "train_steps_per_second": 9.808
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1978 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.023610670119524002,
3
+ "best_model_checkpoint": "/storage/img-cls-data/mnist_outputs/checkpoint-31875",
4
+ "epoch": 5.0,
5
+ "global_step": 31875,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.02,
12
+ "learning_rate": 1.9937254901960785e-05,
13
+ "loss": 2.0426,
14
+ "step": 100
15
+ },
16
+ {
17
+ "epoch": 0.03,
18
+ "learning_rate": 1.987450980392157e-05,
19
+ "loss": 1.5416,
20
+ "step": 200
21
+ },
22
+ {
23
+ "epoch": 0.05,
24
+ "learning_rate": 1.9811764705882354e-05,
25
+ "loss": 1.2198,
26
+ "step": 300
27
+ },
28
+ {
29
+ "epoch": 0.06,
30
+ "learning_rate": 1.9749019607843137e-05,
31
+ "loss": 1.0002,
32
+ "step": 400
33
+ },
34
+ {
35
+ "epoch": 0.08,
36
+ "learning_rate": 1.9686274509803924e-05,
37
+ "loss": 0.9311,
38
+ "step": 500
39
+ },
40
+ {
41
+ "epoch": 0.09,
42
+ "learning_rate": 1.9623529411764707e-05,
43
+ "loss": 0.8639,
44
+ "step": 600
45
+ },
46
+ {
47
+ "epoch": 0.11,
48
+ "learning_rate": 1.9560784313725493e-05,
49
+ "loss": 0.7643,
50
+ "step": 700
51
+ },
52
+ {
53
+ "epoch": 0.13,
54
+ "learning_rate": 1.9498039215686276e-05,
55
+ "loss": 0.7039,
56
+ "step": 800
57
+ },
58
+ {
59
+ "epoch": 0.14,
60
+ "learning_rate": 1.9435294117647063e-05,
61
+ "loss": 0.6675,
62
+ "step": 900
63
+ },
64
+ {
65
+ "epoch": 0.16,
66
+ "learning_rate": 1.9372549019607846e-05,
67
+ "loss": 0.6378,
68
+ "step": 1000
69
+ },
70
+ {
71
+ "epoch": 0.17,
72
+ "learning_rate": 1.930980392156863e-05,
73
+ "loss": 0.6793,
74
+ "step": 1100
75
+ },
76
+ {
77
+ "epoch": 0.19,
78
+ "learning_rate": 1.9247058823529415e-05,
79
+ "loss": 0.5975,
80
+ "step": 1200
81
+ },
82
+ {
83
+ "epoch": 0.2,
84
+ "learning_rate": 1.9184313725490198e-05,
85
+ "loss": 0.6072,
86
+ "step": 1300
87
+ },
88
+ {
89
+ "epoch": 0.22,
90
+ "learning_rate": 1.912156862745098e-05,
91
+ "loss": 0.6145,
92
+ "step": 1400
93
+ },
94
+ {
95
+ "epoch": 0.24,
96
+ "learning_rate": 1.9058823529411764e-05,
97
+ "loss": 0.5963,
98
+ "step": 1500
99
+ },
100
+ {
101
+ "epoch": 0.25,
102
+ "learning_rate": 1.899607843137255e-05,
103
+ "loss": 0.5764,
104
+ "step": 1600
105
+ },
106
+ {
107
+ "epoch": 0.27,
108
+ "learning_rate": 1.8933333333333334e-05,
109
+ "loss": 0.5801,
110
+ "step": 1700
111
+ },
112
+ {
113
+ "epoch": 0.28,
114
+ "learning_rate": 1.8870588235294117e-05,
115
+ "loss": 0.5679,
116
+ "step": 1800
117
+ },
118
+ {
119
+ "epoch": 0.3,
120
+ "learning_rate": 1.8807843137254903e-05,
121
+ "loss": 0.5489,
122
+ "step": 1900
123
+ },
124
+ {
125
+ "epoch": 0.31,
126
+ "learning_rate": 1.8745098039215686e-05,
127
+ "loss": 0.5423,
128
+ "step": 2000
129
+ },
130
+ {
131
+ "epoch": 0.33,
132
+ "learning_rate": 1.8682352941176473e-05,
133
+ "loss": 0.5429,
134
+ "step": 2100
135
+ },
136
+ {
137
+ "epoch": 0.35,
138
+ "learning_rate": 1.8619607843137256e-05,
139
+ "loss": 0.502,
140
+ "step": 2200
141
+ },
142
+ {
143
+ "epoch": 0.36,
144
+ "learning_rate": 1.8556862745098042e-05,
145
+ "loss": 0.4131,
146
+ "step": 2300
147
+ },
148
+ {
149
+ "epoch": 0.38,
150
+ "learning_rate": 1.8494117647058825e-05,
151
+ "loss": 0.4839,
152
+ "step": 2400
153
+ },
154
+ {
155
+ "epoch": 0.39,
156
+ "learning_rate": 1.843137254901961e-05,
157
+ "loss": 0.515,
158
+ "step": 2500
159
+ },
160
+ {
161
+ "epoch": 0.41,
162
+ "learning_rate": 1.8368627450980395e-05,
163
+ "loss": 0.4417,
164
+ "step": 2600
165
+ },
166
+ {
167
+ "epoch": 0.42,
168
+ "learning_rate": 1.8305882352941178e-05,
169
+ "loss": 0.4844,
170
+ "step": 2700
171
+ },
172
+ {
173
+ "epoch": 0.44,
174
+ "learning_rate": 1.824313725490196e-05,
175
+ "loss": 0.4979,
176
+ "step": 2800
177
+ },
178
+ {
179
+ "epoch": 0.45,
180
+ "learning_rate": 1.8180392156862747e-05,
181
+ "loss": 0.4589,
182
+ "step": 2900
183
+ },
184
+ {
185
+ "epoch": 0.47,
186
+ "learning_rate": 1.811764705882353e-05,
187
+ "loss": 0.4334,
188
+ "step": 3000
189
+ },
190
+ {
191
+ "epoch": 0.49,
192
+ "learning_rate": 1.8054901960784314e-05,
193
+ "loss": 0.512,
194
+ "step": 3100
195
+ },
196
+ {
197
+ "epoch": 0.5,
198
+ "learning_rate": 1.79921568627451e-05,
199
+ "loss": 0.4219,
200
+ "step": 3200
201
+ },
202
+ {
203
+ "epoch": 0.52,
204
+ "learning_rate": 1.7929411764705883e-05,
205
+ "loss": 0.4288,
206
+ "step": 3300
207
+ },
208
+ {
209
+ "epoch": 0.53,
210
+ "learning_rate": 1.7866666666666666e-05,
211
+ "loss": 0.4818,
212
+ "step": 3400
213
+ },
214
+ {
215
+ "epoch": 0.55,
216
+ "learning_rate": 1.7803921568627453e-05,
217
+ "loss": 0.427,
218
+ "step": 3500
219
+ },
220
+ {
221
+ "epoch": 0.56,
222
+ "learning_rate": 1.7741176470588236e-05,
223
+ "loss": 0.4187,
224
+ "step": 3600
225
+ },
226
+ {
227
+ "epoch": 0.58,
228
+ "learning_rate": 1.7678431372549022e-05,
229
+ "loss": 0.4482,
230
+ "step": 3700
231
+ },
232
+ {
233
+ "epoch": 0.6,
234
+ "learning_rate": 1.7615686274509805e-05,
235
+ "loss": 0.4352,
236
+ "step": 3800
237
+ },
238
+ {
239
+ "epoch": 0.61,
240
+ "learning_rate": 1.755294117647059e-05,
241
+ "loss": 0.5184,
242
+ "step": 3900
243
+ },
244
+ {
245
+ "epoch": 0.63,
246
+ "learning_rate": 1.7490196078431375e-05,
247
+ "loss": 0.3797,
248
+ "step": 4000
249
+ },
250
+ {
251
+ "epoch": 0.64,
252
+ "learning_rate": 1.7427450980392158e-05,
253
+ "loss": 0.4232,
254
+ "step": 4100
255
+ },
256
+ {
257
+ "epoch": 0.66,
258
+ "learning_rate": 1.7364705882352944e-05,
259
+ "loss": 0.4047,
260
+ "step": 4200
261
+ },
262
+ {
263
+ "epoch": 0.67,
264
+ "learning_rate": 1.7301960784313727e-05,
265
+ "loss": 0.4213,
266
+ "step": 4300
267
+ },
268
+ {
269
+ "epoch": 0.69,
270
+ "learning_rate": 1.723921568627451e-05,
271
+ "loss": 0.3669,
272
+ "step": 4400
273
+ },
274
+ {
275
+ "epoch": 0.71,
276
+ "learning_rate": 1.7176470588235293e-05,
277
+ "loss": 0.4331,
278
+ "step": 4500
279
+ },
280
+ {
281
+ "epoch": 0.72,
282
+ "learning_rate": 1.711372549019608e-05,
283
+ "loss": 0.4496,
284
+ "step": 4600
285
+ },
286
+ {
287
+ "epoch": 0.74,
288
+ "learning_rate": 1.7050980392156863e-05,
289
+ "loss": 0.4153,
290
+ "step": 4700
291
+ },
292
+ {
293
+ "epoch": 0.75,
294
+ "learning_rate": 1.698823529411765e-05,
295
+ "loss": 0.4602,
296
+ "step": 4800
297
+ },
298
+ {
299
+ "epoch": 0.77,
300
+ "learning_rate": 1.6925490196078432e-05,
301
+ "loss": 0.4452,
302
+ "step": 4900
303
+ },
304
+ {
305
+ "epoch": 0.78,
306
+ "learning_rate": 1.686274509803922e-05,
307
+ "loss": 0.3844,
308
+ "step": 5000
309
+ },
310
+ {
311
+ "epoch": 0.8,
312
+ "learning_rate": 1.6800000000000002e-05,
313
+ "loss": 0.4109,
314
+ "step": 5100
315
+ },
316
+ {
317
+ "epoch": 0.82,
318
+ "learning_rate": 1.6737254901960788e-05,
319
+ "loss": 0.4972,
320
+ "step": 5200
321
+ },
322
+ {
323
+ "epoch": 0.83,
324
+ "learning_rate": 1.667450980392157e-05,
325
+ "loss": 0.3655,
326
+ "step": 5300
327
+ },
328
+ {
329
+ "epoch": 0.85,
330
+ "learning_rate": 1.6611764705882354e-05,
331
+ "loss": 0.4499,
332
+ "step": 5400
333
+ },
334
+ {
335
+ "epoch": 0.86,
336
+ "learning_rate": 1.6549019607843137e-05,
337
+ "loss": 0.4042,
338
+ "step": 5500
339
+ },
340
+ {
341
+ "epoch": 0.88,
342
+ "learning_rate": 1.6486274509803924e-05,
343
+ "loss": 0.4236,
344
+ "step": 5600
345
+ },
346
+ {
347
+ "epoch": 0.89,
348
+ "learning_rate": 1.6423529411764707e-05,
349
+ "loss": 0.4216,
350
+ "step": 5700
351
+ },
352
+ {
353
+ "epoch": 0.91,
354
+ "learning_rate": 1.636078431372549e-05,
355
+ "loss": 0.4134,
356
+ "step": 5800
357
+ },
358
+ {
359
+ "epoch": 0.93,
360
+ "learning_rate": 1.6298039215686276e-05,
361
+ "loss": 0.3641,
362
+ "step": 5900
363
+ },
364
+ {
365
+ "epoch": 0.94,
366
+ "learning_rate": 1.623529411764706e-05,
367
+ "loss": 0.4342,
368
+ "step": 6000
369
+ },
370
+ {
371
+ "epoch": 0.96,
372
+ "learning_rate": 1.6172549019607842e-05,
373
+ "loss": 0.4604,
374
+ "step": 6100
375
+ },
376
+ {
377
+ "epoch": 0.97,
378
+ "learning_rate": 1.610980392156863e-05,
379
+ "loss": 0.4144,
380
+ "step": 6200
381
+ },
382
+ {
383
+ "epoch": 0.99,
384
+ "learning_rate": 1.6047058823529412e-05,
385
+ "loss": 0.379,
386
+ "step": 6300
387
+ },
388
+ {
389
+ "epoch": 1.0,
390
+ "eval_accuracy": 0.9895555555555555,
391
+ "eval_loss": 0.0506252758204937,
392
+ "eval_runtime": 37.8747,
393
+ "eval_samples_per_second": 237.626,
394
+ "eval_steps_per_second": 29.703,
395
+ "step": 6375
396
+ },
397
+ {
398
+ "epoch": 1.0,
399
+ "learning_rate": 1.59843137254902e-05,
400
+ "loss": 0.3759,
401
+ "step": 6400
402
+ },
403
+ {
404
+ "epoch": 1.02,
405
+ "learning_rate": 1.592156862745098e-05,
406
+ "loss": 0.4208,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 1.04,
411
+ "learning_rate": 1.5858823529411768e-05,
412
+ "loss": 0.3947,
413
+ "step": 6600
414
+ },
415
+ {
416
+ "epoch": 1.05,
417
+ "learning_rate": 1.579607843137255e-05,
418
+ "loss": 0.3622,
419
+ "step": 6700
420
+ },
421
+ {
422
+ "epoch": 1.07,
423
+ "learning_rate": 1.5733333333333334e-05,
424
+ "loss": 0.4034,
425
+ "step": 6800
426
+ },
427
+ {
428
+ "epoch": 1.08,
429
+ "learning_rate": 1.567058823529412e-05,
430
+ "loss": 0.3489,
431
+ "step": 6900
432
+ },
433
+ {
434
+ "epoch": 1.1,
435
+ "learning_rate": 1.5607843137254904e-05,
436
+ "loss": 0.3794,
437
+ "step": 7000
438
+ },
439
+ {
440
+ "epoch": 1.11,
441
+ "learning_rate": 1.5545098039215687e-05,
442
+ "loss": 0.3644,
443
+ "step": 7100
444
+ },
445
+ {
446
+ "epoch": 1.13,
447
+ "learning_rate": 1.5482352941176473e-05,
448
+ "loss": 0.5059,
449
+ "step": 7200
450
+ },
451
+ {
452
+ "epoch": 1.15,
453
+ "learning_rate": 1.5419607843137256e-05,
454
+ "loss": 0.348,
455
+ "step": 7300
456
+ },
457
+ {
458
+ "epoch": 1.16,
459
+ "learning_rate": 1.535686274509804e-05,
460
+ "loss": 0.402,
461
+ "step": 7400
462
+ },
463
+ {
464
+ "epoch": 1.18,
465
+ "learning_rate": 1.5294117647058822e-05,
466
+ "loss": 0.3457,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 1.19,
471
+ "learning_rate": 1.523137254901961e-05,
472
+ "loss": 0.3608,
473
+ "step": 7600
474
+ },
475
+ {
476
+ "epoch": 1.21,
477
+ "learning_rate": 1.5168627450980393e-05,
478
+ "loss": 0.3808,
479
+ "step": 7700
480
+ },
481
+ {
482
+ "epoch": 1.22,
483
+ "learning_rate": 1.5105882352941176e-05,
484
+ "loss": 0.3887,
485
+ "step": 7800
486
+ },
487
+ {
488
+ "epoch": 1.24,
489
+ "learning_rate": 1.5043137254901963e-05,
490
+ "loss": 0.354,
491
+ "step": 7900
492
+ },
493
+ {
494
+ "epoch": 1.25,
495
+ "learning_rate": 1.4980392156862746e-05,
496
+ "loss": 0.3918,
497
+ "step": 8000
498
+ },
499
+ {
500
+ "epoch": 1.27,
501
+ "learning_rate": 1.491764705882353e-05,
502
+ "loss": 0.3946,
503
+ "step": 8100
504
+ },
505
+ {
506
+ "epoch": 1.29,
507
+ "learning_rate": 1.4854901960784315e-05,
508
+ "loss": 0.3348,
509
+ "step": 8200
510
+ },
511
+ {
512
+ "epoch": 1.3,
513
+ "learning_rate": 1.47921568627451e-05,
514
+ "loss": 0.3523,
515
+ "step": 8300
516
+ },
517
+ {
518
+ "epoch": 1.32,
519
+ "learning_rate": 1.4729411764705883e-05,
520
+ "loss": 0.4209,
521
+ "step": 8400
522
+ },
523
+ {
524
+ "epoch": 1.33,
525
+ "learning_rate": 1.4666666666666666e-05,
526
+ "loss": 0.4297,
527
+ "step": 8500
528
+ },
529
+ {
530
+ "epoch": 1.35,
531
+ "learning_rate": 1.4603921568627453e-05,
532
+ "loss": 0.319,
533
+ "step": 8600
534
+ },
535
+ {
536
+ "epoch": 1.36,
537
+ "learning_rate": 1.4541176470588236e-05,
538
+ "loss": 0.367,
539
+ "step": 8700
540
+ },
541
+ {
542
+ "epoch": 1.38,
543
+ "learning_rate": 1.447843137254902e-05,
544
+ "loss": 0.4016,
545
+ "step": 8800
546
+ },
547
+ {
548
+ "epoch": 1.4,
549
+ "learning_rate": 1.4415686274509805e-05,
550
+ "loss": 0.3831,
551
+ "step": 8900
552
+ },
553
+ {
554
+ "epoch": 1.41,
555
+ "learning_rate": 1.435294117647059e-05,
556
+ "loss": 0.4467,
557
+ "step": 9000
558
+ },
559
+ {
560
+ "epoch": 1.43,
561
+ "learning_rate": 1.4290196078431373e-05,
562
+ "loss": 0.3631,
563
+ "step": 9100
564
+ },
565
+ {
566
+ "epoch": 1.44,
567
+ "learning_rate": 1.422745098039216e-05,
568
+ "loss": 0.3893,
569
+ "step": 9200
570
+ },
571
+ {
572
+ "epoch": 1.46,
573
+ "learning_rate": 1.4164705882352943e-05,
574
+ "loss": 0.3574,
575
+ "step": 9300
576
+ },
577
+ {
578
+ "epoch": 1.47,
579
+ "learning_rate": 1.4101960784313726e-05,
580
+ "loss": 0.3498,
581
+ "step": 9400
582
+ },
583
+ {
584
+ "epoch": 1.49,
585
+ "learning_rate": 1.403921568627451e-05,
586
+ "loss": 0.3911,
587
+ "step": 9500
588
+ },
589
+ {
590
+ "epoch": 1.51,
591
+ "learning_rate": 1.3976470588235295e-05,
592
+ "loss": 0.3566,
593
+ "step": 9600
594
+ },
595
+ {
596
+ "epoch": 1.52,
597
+ "learning_rate": 1.391372549019608e-05,
598
+ "loss": 0.3766,
599
+ "step": 9700
600
+ },
601
+ {
602
+ "epoch": 1.54,
603
+ "learning_rate": 1.3850980392156863e-05,
604
+ "loss": 0.394,
605
+ "step": 9800
606
+ },
607
+ {
608
+ "epoch": 1.55,
609
+ "learning_rate": 1.378823529411765e-05,
610
+ "loss": 0.3985,
611
+ "step": 9900
612
+ },
613
+ {
614
+ "epoch": 1.57,
615
+ "learning_rate": 1.3725490196078432e-05,
616
+ "loss": 0.3957,
617
+ "step": 10000
618
+ },
619
+ {
620
+ "epoch": 1.58,
621
+ "learning_rate": 1.3662745098039215e-05,
622
+ "loss": 0.3097,
623
+ "step": 10100
624
+ },
625
+ {
626
+ "epoch": 1.6,
627
+ "learning_rate": 1.3600000000000002e-05,
628
+ "loss": 0.346,
629
+ "step": 10200
630
+ },
631
+ {
632
+ "epoch": 1.62,
633
+ "learning_rate": 1.3537254901960785e-05,
634
+ "loss": 0.3856,
635
+ "step": 10300
636
+ },
637
+ {
638
+ "epoch": 1.63,
639
+ "learning_rate": 1.347450980392157e-05,
640
+ "loss": 0.3609,
641
+ "step": 10400
642
+ },
643
+ {
644
+ "epoch": 1.65,
645
+ "learning_rate": 1.3411764705882353e-05,
646
+ "loss": 0.3631,
647
+ "step": 10500
648
+ },
649
+ {
650
+ "epoch": 1.66,
651
+ "learning_rate": 1.334901960784314e-05,
652
+ "loss": 0.3309,
653
+ "step": 10600
654
+ },
655
+ {
656
+ "epoch": 1.68,
657
+ "learning_rate": 1.3286274509803922e-05,
658
+ "loss": 0.4049,
659
+ "step": 10700
660
+ },
661
+ {
662
+ "epoch": 1.69,
663
+ "learning_rate": 1.3223529411764705e-05,
664
+ "loss": 0.3737,
665
+ "step": 10800
666
+ },
667
+ {
668
+ "epoch": 1.71,
669
+ "learning_rate": 1.3160784313725492e-05,
670
+ "loss": 0.358,
671
+ "step": 10900
672
+ },
673
+ {
674
+ "epoch": 1.73,
675
+ "learning_rate": 1.3098039215686275e-05,
676
+ "loss": 0.313,
677
+ "step": 11000
678
+ },
679
+ {
680
+ "epoch": 1.74,
681
+ "learning_rate": 1.303529411764706e-05,
682
+ "loss": 0.3648,
683
+ "step": 11100
684
+ },
685
+ {
686
+ "epoch": 1.76,
687
+ "learning_rate": 1.2972549019607846e-05,
688
+ "loss": 0.3757,
689
+ "step": 11200
690
+ },
691
+ {
692
+ "epoch": 1.77,
693
+ "learning_rate": 1.2909803921568629e-05,
694
+ "loss": 0.321,
695
+ "step": 11300
696
+ },
697
+ {
698
+ "epoch": 1.79,
699
+ "learning_rate": 1.2847058823529412e-05,
700
+ "loss": 0.385,
701
+ "step": 11400
702
+ },
703
+ {
704
+ "epoch": 1.8,
705
+ "learning_rate": 1.2784313725490197e-05,
706
+ "loss": 0.3515,
707
+ "step": 11500
708
+ },
709
+ {
710
+ "epoch": 1.82,
711
+ "learning_rate": 1.2721568627450982e-05,
712
+ "loss": 0.3449,
713
+ "step": 11600
714
+ },
715
+ {
716
+ "epoch": 1.84,
717
+ "learning_rate": 1.2658823529411766e-05,
718
+ "loss": 0.3392,
719
+ "step": 11700
720
+ },
721
+ {
722
+ "epoch": 1.85,
723
+ "learning_rate": 1.259607843137255e-05,
724
+ "loss": 0.3581,
725
+ "step": 11800
726
+ },
727
+ {
728
+ "epoch": 1.87,
729
+ "learning_rate": 1.2533333333333336e-05,
730
+ "loss": 0.3761,
731
+ "step": 11900
732
+ },
733
+ {
734
+ "epoch": 1.88,
735
+ "learning_rate": 1.2470588235294119e-05,
736
+ "loss": 0.3392,
737
+ "step": 12000
738
+ },
739
+ {
740
+ "epoch": 1.9,
741
+ "learning_rate": 1.2407843137254902e-05,
742
+ "loss": 0.3809,
743
+ "step": 12100
744
+ },
745
+ {
746
+ "epoch": 1.91,
747
+ "learning_rate": 1.2345098039215688e-05,
748
+ "loss": 0.3388,
749
+ "step": 12200
750
+ },
751
+ {
752
+ "epoch": 1.93,
753
+ "learning_rate": 1.2282352941176471e-05,
754
+ "loss": 0.3665,
755
+ "step": 12300
756
+ },
757
+ {
758
+ "epoch": 1.95,
759
+ "learning_rate": 1.2219607843137256e-05,
760
+ "loss": 0.3331,
761
+ "step": 12400
762
+ },
763
+ {
764
+ "epoch": 1.96,
765
+ "learning_rate": 1.215686274509804e-05,
766
+ "loss": 0.3819,
767
+ "step": 12500
768
+ },
769
+ {
770
+ "epoch": 1.98,
771
+ "learning_rate": 1.2094117647058826e-05,
772
+ "loss": 0.3106,
773
+ "step": 12600
774
+ },
775
+ {
776
+ "epoch": 1.99,
777
+ "learning_rate": 1.2031372549019609e-05,
778
+ "loss": 0.3384,
779
+ "step": 12700
780
+ },
781
+ {
782
+ "epoch": 2.0,
783
+ "eval_accuracy": 0.9905555555555555,
784
+ "eval_loss": 0.03622434660792351,
785
+ "eval_runtime": 36.0542,
786
+ "eval_samples_per_second": 249.624,
787
+ "eval_steps_per_second": 31.203,
788
+ "step": 12750
789
+ },
790
+ {
791
+ "epoch": 2.01,
792
+ "learning_rate": 1.1968627450980392e-05,
793
+ "loss": 0.3693,
794
+ "step": 12800
795
+ },
796
+ {
797
+ "epoch": 2.02,
798
+ "learning_rate": 1.1905882352941178e-05,
799
+ "loss": 0.3453,
800
+ "step": 12900
801
+ },
802
+ {
803
+ "epoch": 2.04,
804
+ "learning_rate": 1.1843137254901961e-05,
805
+ "loss": 0.3708,
806
+ "step": 13000
807
+ },
808
+ {
809
+ "epoch": 2.05,
810
+ "learning_rate": 1.1780392156862746e-05,
811
+ "loss": 0.3384,
812
+ "step": 13100
813
+ },
814
+ {
815
+ "epoch": 2.07,
816
+ "learning_rate": 1.171764705882353e-05,
817
+ "loss": 0.3415,
818
+ "step": 13200
819
+ },
820
+ {
821
+ "epoch": 2.09,
822
+ "learning_rate": 1.1654901960784316e-05,
823
+ "loss": 0.3503,
824
+ "step": 13300
825
+ },
826
+ {
827
+ "epoch": 2.1,
828
+ "learning_rate": 1.1592156862745099e-05,
829
+ "loss": 0.3107,
830
+ "step": 13400
831
+ },
832
+ {
833
+ "epoch": 2.12,
834
+ "learning_rate": 1.1529411764705882e-05,
835
+ "loss": 0.3516,
836
+ "step": 13500
837
+ },
838
+ {
839
+ "epoch": 2.13,
840
+ "learning_rate": 1.1466666666666668e-05,
841
+ "loss": 0.3555,
842
+ "step": 13600
843
+ },
844
+ {
845
+ "epoch": 2.15,
846
+ "learning_rate": 1.1403921568627451e-05,
847
+ "loss": 0.361,
848
+ "step": 13700
849
+ },
850
+ {
851
+ "epoch": 2.16,
852
+ "learning_rate": 1.1341176470588236e-05,
853
+ "loss": 0.3284,
854
+ "step": 13800
855
+ },
856
+ {
857
+ "epoch": 2.18,
858
+ "learning_rate": 1.127843137254902e-05,
859
+ "loss": 0.3398,
860
+ "step": 13900
861
+ },
862
+ {
863
+ "epoch": 2.2,
864
+ "learning_rate": 1.1215686274509805e-05,
865
+ "loss": 0.3075,
866
+ "step": 14000
867
+ },
868
+ {
869
+ "epoch": 2.21,
870
+ "learning_rate": 1.1152941176470588e-05,
871
+ "loss": 0.2937,
872
+ "step": 14100
873
+ },
874
+ {
875
+ "epoch": 2.23,
876
+ "learning_rate": 1.1090196078431375e-05,
877
+ "loss": 0.2807,
878
+ "step": 14200
879
+ },
880
+ {
881
+ "epoch": 2.24,
882
+ "learning_rate": 1.1027450980392158e-05,
883
+ "loss": 0.3763,
884
+ "step": 14300
885
+ },
886
+ {
887
+ "epoch": 2.26,
888
+ "learning_rate": 1.0964705882352941e-05,
889
+ "loss": 0.2695,
890
+ "step": 14400
891
+ },
892
+ {
893
+ "epoch": 2.27,
894
+ "learning_rate": 1.0901960784313726e-05,
895
+ "loss": 0.379,
896
+ "step": 14500
897
+ },
898
+ {
899
+ "epoch": 2.29,
900
+ "learning_rate": 1.083921568627451e-05,
901
+ "loss": 0.3548,
902
+ "step": 14600
903
+ },
904
+ {
905
+ "epoch": 2.31,
906
+ "learning_rate": 1.0776470588235295e-05,
907
+ "loss": 0.3215,
908
+ "step": 14700
909
+ },
910
+ {
911
+ "epoch": 2.32,
912
+ "learning_rate": 1.0713725490196078e-05,
913
+ "loss": 0.3178,
914
+ "step": 14800
915
+ },
916
+ {
917
+ "epoch": 2.34,
918
+ "learning_rate": 1.0650980392156865e-05,
919
+ "loss": 0.3556,
920
+ "step": 14900
921
+ },
922
+ {
923
+ "epoch": 2.35,
924
+ "learning_rate": 1.0588235294117648e-05,
925
+ "loss": 0.3235,
926
+ "step": 15000
927
+ },
928
+ {
929
+ "epoch": 2.37,
930
+ "learning_rate": 1.0525490196078431e-05,
931
+ "loss": 0.3363,
932
+ "step": 15100
933
+ },
934
+ {
935
+ "epoch": 2.38,
936
+ "learning_rate": 1.0462745098039217e-05,
937
+ "loss": 0.3251,
938
+ "step": 15200
939
+ },
940
+ {
941
+ "epoch": 2.4,
942
+ "learning_rate": 1.04e-05,
943
+ "loss": 0.3177,
944
+ "step": 15300
945
+ },
946
+ {
947
+ "epoch": 2.42,
948
+ "learning_rate": 1.0337254901960785e-05,
949
+ "loss": 0.3387,
950
+ "step": 15400
951
+ },
952
+ {
953
+ "epoch": 2.43,
954
+ "learning_rate": 1.0274509803921568e-05,
955
+ "loss": 0.3551,
956
+ "step": 15500
957
+ },
958
+ {
959
+ "epoch": 2.45,
960
+ "learning_rate": 1.0211764705882355e-05,
961
+ "loss": 0.3471,
962
+ "step": 15600
963
+ },
964
+ {
965
+ "epoch": 2.46,
966
+ "learning_rate": 1.0149019607843138e-05,
967
+ "loss": 0.3212,
968
+ "step": 15700
969
+ },
970
+ {
971
+ "epoch": 2.48,
972
+ "learning_rate": 1.0086274509803922e-05,
973
+ "loss": 0.3222,
974
+ "step": 15800
975
+ },
976
+ {
977
+ "epoch": 2.49,
978
+ "learning_rate": 1.0023529411764707e-05,
979
+ "loss": 0.4107,
980
+ "step": 15900
981
+ },
982
+ {
983
+ "epoch": 2.51,
984
+ "learning_rate": 9.960784313725492e-06,
985
+ "loss": 0.2782,
986
+ "step": 16000
987
+ },
988
+ {
989
+ "epoch": 2.53,
990
+ "learning_rate": 9.898039215686275e-06,
991
+ "loss": 0.3176,
992
+ "step": 16100
993
+ },
994
+ {
995
+ "epoch": 2.54,
996
+ "learning_rate": 9.83529411764706e-06,
997
+ "loss": 0.3233,
998
+ "step": 16200
999
+ },
1000
+ {
1001
+ "epoch": 2.56,
1002
+ "learning_rate": 9.772549019607844e-06,
1003
+ "loss": 0.3402,
1004
+ "step": 16300
1005
+ },
1006
+ {
1007
+ "epoch": 2.57,
1008
+ "learning_rate": 9.709803921568628e-06,
1009
+ "loss": 0.3766,
1010
+ "step": 16400
1011
+ },
1012
+ {
1013
+ "epoch": 2.59,
1014
+ "learning_rate": 9.647058823529412e-06,
1015
+ "loss": 0.266,
1016
+ "step": 16500
1017
+ },
1018
+ {
1019
+ "epoch": 2.6,
1020
+ "learning_rate": 9.584313725490197e-06,
1021
+ "loss": 0.2861,
1022
+ "step": 16600
1023
+ },
1024
+ {
1025
+ "epoch": 2.62,
1026
+ "learning_rate": 9.521568627450982e-06,
1027
+ "loss": 0.3104,
1028
+ "step": 16700
1029
+ },
1030
+ {
1031
+ "epoch": 2.64,
1032
+ "learning_rate": 9.458823529411767e-06,
1033
+ "loss": 0.3355,
1034
+ "step": 16800
1035
+ },
1036
+ {
1037
+ "epoch": 2.65,
1038
+ "learning_rate": 9.39607843137255e-06,
1039
+ "loss": 0.3552,
1040
+ "step": 16900
1041
+ },
1042
+ {
1043
+ "epoch": 2.67,
1044
+ "learning_rate": 9.333333333333334e-06,
1045
+ "loss": 0.2709,
1046
+ "step": 17000
1047
+ },
1048
+ {
1049
+ "epoch": 2.68,
1050
+ "learning_rate": 9.270588235294117e-06,
1051
+ "loss": 0.3766,
1052
+ "step": 17100
1053
+ },
1054
+ {
1055
+ "epoch": 2.7,
1056
+ "learning_rate": 9.207843137254902e-06,
1057
+ "loss": 0.3349,
1058
+ "step": 17200
1059
+ },
1060
+ {
1061
+ "epoch": 2.71,
1062
+ "learning_rate": 9.145098039215687e-06,
1063
+ "loss": 0.3093,
1064
+ "step": 17300
1065
+ },
1066
+ {
1067
+ "epoch": 2.73,
1068
+ "learning_rate": 9.082352941176472e-06,
1069
+ "loss": 0.3151,
1070
+ "step": 17400
1071
+ },
1072
+ {
1073
+ "epoch": 2.75,
1074
+ "learning_rate": 9.019607843137256e-06,
1075
+ "loss": 0.3199,
1076
+ "step": 17500
1077
+ },
1078
+ {
1079
+ "epoch": 2.76,
1080
+ "learning_rate": 8.95686274509804e-06,
1081
+ "loss": 0.3569,
1082
+ "step": 17600
1083
+ },
1084
+ {
1085
+ "epoch": 2.78,
1086
+ "learning_rate": 8.894117647058824e-06,
1087
+ "loss": 0.3279,
1088
+ "step": 17700
1089
+ },
1090
+ {
1091
+ "epoch": 2.79,
1092
+ "learning_rate": 8.831372549019609e-06,
1093
+ "loss": 0.4161,
1094
+ "step": 17800
1095
+ },
1096
+ {
1097
+ "epoch": 2.81,
1098
+ "learning_rate": 8.768627450980392e-06,
1099
+ "loss": 0.3488,
1100
+ "step": 17900
1101
+ },
1102
+ {
1103
+ "epoch": 2.82,
1104
+ "learning_rate": 8.705882352941177e-06,
1105
+ "loss": 0.4203,
1106
+ "step": 18000
1107
+ },
1108
+ {
1109
+ "epoch": 2.84,
1110
+ "learning_rate": 8.643137254901961e-06,
1111
+ "loss": 0.3567,
1112
+ "step": 18100
1113
+ },
1114
+ {
1115
+ "epoch": 2.85,
1116
+ "learning_rate": 8.580392156862746e-06,
1117
+ "loss": 0.3649,
1118
+ "step": 18200
1119
+ },
1120
+ {
1121
+ "epoch": 2.87,
1122
+ "learning_rate": 8.517647058823531e-06,
1123
+ "loss": 0.2921,
1124
+ "step": 18300
1125
+ },
1126
+ {
1127
+ "epoch": 2.89,
1128
+ "learning_rate": 8.454901960784314e-06,
1129
+ "loss": 0.326,
1130
+ "step": 18400
1131
+ },
1132
+ {
1133
+ "epoch": 2.9,
1134
+ "learning_rate": 8.392156862745099e-06,
1135
+ "loss": 0.3584,
1136
+ "step": 18500
1137
+ },
1138
+ {
1139
+ "epoch": 2.92,
1140
+ "learning_rate": 8.329411764705882e-06,
1141
+ "loss": 0.3613,
1142
+ "step": 18600
1143
+ },
1144
+ {
1145
+ "epoch": 2.93,
1146
+ "learning_rate": 8.266666666666667e-06,
1147
+ "loss": 0.3316,
1148
+ "step": 18700
1149
+ },
1150
+ {
1151
+ "epoch": 2.95,
1152
+ "learning_rate": 8.203921568627451e-06,
1153
+ "loss": 0.3124,
1154
+ "step": 18800
1155
+ },
1156
+ {
1157
+ "epoch": 2.96,
1158
+ "learning_rate": 8.141176470588236e-06,
1159
+ "loss": 0.3319,
1160
+ "step": 18900
1161
+ },
1162
+ {
1163
+ "epoch": 2.98,
1164
+ "learning_rate": 8.07843137254902e-06,
1165
+ "loss": 0.3028,
1166
+ "step": 19000
1167
+ },
1168
+ {
1169
+ "epoch": 3.0,
1170
+ "learning_rate": 8.015686274509804e-06,
1171
+ "loss": 0.3605,
1172
+ "step": 19100
1173
+ },
1174
+ {
1175
+ "epoch": 3.0,
1176
+ "eval_accuracy": 0.9923333333333333,
1177
+ "eval_loss": 0.03128869831562042,
1178
+ "eval_runtime": 35.5438,
1179
+ "eval_samples_per_second": 253.208,
1180
+ "eval_steps_per_second": 31.651,
1181
+ "step": 19125
1182
+ },
1183
+ {
1184
+ "epoch": 3.01,
1185
+ "learning_rate": 7.952941176470589e-06,
1186
+ "loss": 0.3341,
1187
+ "step": 19200
1188
+ },
1189
+ {
1190
+ "epoch": 3.03,
1191
+ "learning_rate": 7.890196078431373e-06,
1192
+ "loss": 0.3268,
1193
+ "step": 19300
1194
+ },
1195
+ {
1196
+ "epoch": 3.04,
1197
+ "learning_rate": 7.827450980392156e-06,
1198
+ "loss": 0.3216,
1199
+ "step": 19400
1200
+ },
1201
+ {
1202
+ "epoch": 3.06,
1203
+ "learning_rate": 7.764705882352941e-06,
1204
+ "loss": 0.3544,
1205
+ "step": 19500
1206
+ },
1207
+ {
1208
+ "epoch": 3.07,
1209
+ "learning_rate": 7.701960784313726e-06,
1210
+ "loss": 0.288,
1211
+ "step": 19600
1212
+ },
1213
+ {
1214
+ "epoch": 3.09,
1215
+ "learning_rate": 7.63921568627451e-06,
1216
+ "loss": 0.3547,
1217
+ "step": 19700
1218
+ },
1219
+ {
1220
+ "epoch": 3.11,
1221
+ "learning_rate": 7.576470588235295e-06,
1222
+ "loss": 0.2793,
1223
+ "step": 19800
1224
+ },
1225
+ {
1226
+ "epoch": 3.12,
1227
+ "learning_rate": 7.5137254901960785e-06,
1228
+ "loss": 0.3052,
1229
+ "step": 19900
1230
+ },
1231
+ {
1232
+ "epoch": 3.14,
1233
+ "learning_rate": 7.450980392156863e-06,
1234
+ "loss": 0.2737,
1235
+ "step": 20000
1236
+ },
1237
+ {
1238
+ "epoch": 3.15,
1239
+ "learning_rate": 7.388235294117647e-06,
1240
+ "loss": 0.2816,
1241
+ "step": 20100
1242
+ },
1243
+ {
1244
+ "epoch": 3.17,
1245
+ "learning_rate": 7.325490196078432e-06,
1246
+ "loss": 0.2758,
1247
+ "step": 20200
1248
+ },
1249
+ {
1250
+ "epoch": 3.18,
1251
+ "learning_rate": 7.262745098039217e-06,
1252
+ "loss": 0.3412,
1253
+ "step": 20300
1254
+ },
1255
+ {
1256
+ "epoch": 3.2,
1257
+ "learning_rate": 7.2000000000000005e-06,
1258
+ "loss": 0.3241,
1259
+ "step": 20400
1260
+ },
1261
+ {
1262
+ "epoch": 3.22,
1263
+ "learning_rate": 7.137254901960785e-06,
1264
+ "loss": 0.3032,
1265
+ "step": 20500
1266
+ },
1267
+ {
1268
+ "epoch": 3.23,
1269
+ "learning_rate": 7.074509803921568e-06,
1270
+ "loss": 0.3231,
1271
+ "step": 20600
1272
+ },
1273
+ {
1274
+ "epoch": 3.25,
1275
+ "learning_rate": 7.011764705882353e-06,
1276
+ "loss": 0.3038,
1277
+ "step": 20700
1278
+ },
1279
+ {
1280
+ "epoch": 3.26,
1281
+ "learning_rate": 6.949019607843138e-06,
1282
+ "loss": 0.2632,
1283
+ "step": 20800
1284
+ },
1285
+ {
1286
+ "epoch": 3.28,
1287
+ "learning_rate": 6.886274509803922e-06,
1288
+ "loss": 0.2852,
1289
+ "step": 20900
1290
+ },
1291
+ {
1292
+ "epoch": 3.29,
1293
+ "learning_rate": 6.8235294117647065e-06,
1294
+ "loss": 0.2977,
1295
+ "step": 21000
1296
+ },
1297
+ {
1298
+ "epoch": 3.31,
1299
+ "learning_rate": 6.76078431372549e-06,
1300
+ "loss": 0.3352,
1301
+ "step": 21100
1302
+ },
1303
+ {
1304
+ "epoch": 3.33,
1305
+ "learning_rate": 6.698039215686275e-06,
1306
+ "loss": 0.3002,
1307
+ "step": 21200
1308
+ },
1309
+ {
1310
+ "epoch": 3.34,
1311
+ "learning_rate": 6.63529411764706e-06,
1312
+ "loss": 0.306,
1313
+ "step": 21300
1314
+ },
1315
+ {
1316
+ "epoch": 3.36,
1317
+ "learning_rate": 6.572549019607844e-06,
1318
+ "loss": 0.2627,
1319
+ "step": 21400
1320
+ },
1321
+ {
1322
+ "epoch": 3.37,
1323
+ "learning_rate": 6.5098039215686285e-06,
1324
+ "loss": 0.3526,
1325
+ "step": 21500
1326
+ },
1327
+ {
1328
+ "epoch": 3.39,
1329
+ "learning_rate": 6.4470588235294116e-06,
1330
+ "loss": 0.3441,
1331
+ "step": 21600
1332
+ },
1333
+ {
1334
+ "epoch": 3.4,
1335
+ "learning_rate": 6.384313725490196e-06,
1336
+ "loss": 0.2755,
1337
+ "step": 21700
1338
+ },
1339
+ {
1340
+ "epoch": 3.42,
1341
+ "learning_rate": 6.321568627450981e-06,
1342
+ "loss": 0.3685,
1343
+ "step": 21800
1344
+ },
1345
+ {
1346
+ "epoch": 3.44,
1347
+ "learning_rate": 6.258823529411765e-06,
1348
+ "loss": 0.2978,
1349
+ "step": 21900
1350
+ },
1351
+ {
1352
+ "epoch": 3.45,
1353
+ "learning_rate": 6.19607843137255e-06,
1354
+ "loss": 0.3128,
1355
+ "step": 22000
1356
+ },
1357
+ {
1358
+ "epoch": 3.47,
1359
+ "learning_rate": 6.133333333333334e-06,
1360
+ "loss": 0.3221,
1361
+ "step": 22100
1362
+ },
1363
+ {
1364
+ "epoch": 3.48,
1365
+ "learning_rate": 6.070588235294118e-06,
1366
+ "loss": 0.3258,
1367
+ "step": 22200
1368
+ },
1369
+ {
1370
+ "epoch": 3.5,
1371
+ "learning_rate": 6.007843137254903e-06,
1372
+ "loss": 0.2819,
1373
+ "step": 22300
1374
+ },
1375
+ {
1376
+ "epoch": 3.51,
1377
+ "learning_rate": 5.945098039215686e-06,
1378
+ "loss": 0.2855,
1379
+ "step": 22400
1380
+ },
1381
+ {
1382
+ "epoch": 3.53,
1383
+ "learning_rate": 5.882352941176471e-06,
1384
+ "loss": 0.3273,
1385
+ "step": 22500
1386
+ },
1387
+ {
1388
+ "epoch": 3.55,
1389
+ "learning_rate": 5.819607843137255e-06,
1390
+ "loss": 0.3031,
1391
+ "step": 22600
1392
+ },
1393
+ {
1394
+ "epoch": 3.56,
1395
+ "learning_rate": 5.7568627450980396e-06,
1396
+ "loss": 0.3269,
1397
+ "step": 22700
1398
+ },
1399
+ {
1400
+ "epoch": 3.58,
1401
+ "learning_rate": 5.694117647058824e-06,
1402
+ "loss": 0.3031,
1403
+ "step": 22800
1404
+ },
1405
+ {
1406
+ "epoch": 3.59,
1407
+ "learning_rate": 5.631372549019608e-06,
1408
+ "loss": 0.3113,
1409
+ "step": 22900
1410
+ },
1411
+ {
1412
+ "epoch": 3.61,
1413
+ "learning_rate": 5.568627450980393e-06,
1414
+ "loss": 0.3704,
1415
+ "step": 23000
1416
+ },
1417
+ {
1418
+ "epoch": 3.62,
1419
+ "learning_rate": 5.505882352941177e-06,
1420
+ "loss": 0.3338,
1421
+ "step": 23100
1422
+ },
1423
+ {
1424
+ "epoch": 3.64,
1425
+ "learning_rate": 5.443137254901962e-06,
1426
+ "loss": 0.3142,
1427
+ "step": 23200
1428
+ },
1429
+ {
1430
+ "epoch": 3.65,
1431
+ "learning_rate": 5.380392156862746e-06,
1432
+ "loss": 0.3333,
1433
+ "step": 23300
1434
+ },
1435
+ {
1436
+ "epoch": 3.67,
1437
+ "learning_rate": 5.317647058823529e-06,
1438
+ "loss": 0.3285,
1439
+ "step": 23400
1440
+ },
1441
+ {
1442
+ "epoch": 3.69,
1443
+ "learning_rate": 5.254901960784314e-06,
1444
+ "loss": 0.2986,
1445
+ "step": 23500
1446
+ },
1447
+ {
1448
+ "epoch": 3.7,
1449
+ "learning_rate": 5.192156862745098e-06,
1450
+ "loss": 0.3304,
1451
+ "step": 23600
1452
+ },
1453
+ {
1454
+ "epoch": 3.72,
1455
+ "learning_rate": 5.129411764705883e-06,
1456
+ "loss": 0.3997,
1457
+ "step": 23700
1458
+ },
1459
+ {
1460
+ "epoch": 3.73,
1461
+ "learning_rate": 5.0666666666666676e-06,
1462
+ "loss": 0.3033,
1463
+ "step": 23800
1464
+ },
1465
+ {
1466
+ "epoch": 3.75,
1467
+ "learning_rate": 5.0039215686274515e-06,
1468
+ "loss": 0.3083,
1469
+ "step": 23900
1470
+ },
1471
+ {
1472
+ "epoch": 3.76,
1473
+ "learning_rate": 4.941176470588236e-06,
1474
+ "loss": 0.2966,
1475
+ "step": 24000
1476
+ },
1477
+ {
1478
+ "epoch": 3.78,
1479
+ "learning_rate": 4.87843137254902e-06,
1480
+ "loss": 0.3007,
1481
+ "step": 24100
1482
+ },
1483
+ {
1484
+ "epoch": 3.8,
1485
+ "learning_rate": 4.815686274509804e-06,
1486
+ "loss": 0.2544,
1487
+ "step": 24200
1488
+ },
1489
+ {
1490
+ "epoch": 3.81,
1491
+ "learning_rate": 4.752941176470589e-06,
1492
+ "loss": 0.2299,
1493
+ "step": 24300
1494
+ },
1495
+ {
1496
+ "epoch": 3.83,
1497
+ "learning_rate": 4.690196078431373e-06,
1498
+ "loss": 0.2575,
1499
+ "step": 24400
1500
+ },
1501
+ {
1502
+ "epoch": 3.84,
1503
+ "learning_rate": 4.627450980392157e-06,
1504
+ "loss": 0.2813,
1505
+ "step": 24500
1506
+ },
1507
+ {
1508
+ "epoch": 3.86,
1509
+ "learning_rate": 4.564705882352941e-06,
1510
+ "loss": 0.3245,
1511
+ "step": 24600
1512
+ },
1513
+ {
1514
+ "epoch": 3.87,
1515
+ "learning_rate": 4.501960784313726e-06,
1516
+ "loss": 0.3666,
1517
+ "step": 24700
1518
+ },
1519
+ {
1520
+ "epoch": 3.89,
1521
+ "learning_rate": 4.43921568627451e-06,
1522
+ "loss": 0.2552,
1523
+ "step": 24800
1524
+ },
1525
+ {
1526
+ "epoch": 3.91,
1527
+ "learning_rate": 4.376470588235294e-06,
1528
+ "loss": 0.3075,
1529
+ "step": 24900
1530
+ },
1531
+ {
1532
+ "epoch": 3.92,
1533
+ "learning_rate": 4.313725490196079e-06,
1534
+ "loss": 0.3015,
1535
+ "step": 25000
1536
+ },
1537
+ {
1538
+ "epoch": 3.94,
1539
+ "learning_rate": 4.250980392156863e-06,
1540
+ "loss": 0.3143,
1541
+ "step": 25100
1542
+ },
1543
+ {
1544
+ "epoch": 3.95,
1545
+ "learning_rate": 4.188235294117647e-06,
1546
+ "loss": 0.3493,
1547
+ "step": 25200
1548
+ },
1549
+ {
1550
+ "epoch": 3.97,
1551
+ "learning_rate": 4.125490196078432e-06,
1552
+ "loss": 0.2725,
1553
+ "step": 25300
1554
+ },
1555
+ {
1556
+ "epoch": 3.98,
1557
+ "learning_rate": 4.062745098039216e-06,
1558
+ "loss": 0.2831,
1559
+ "step": 25400
1560
+ },
1561
+ {
1562
+ "epoch": 4.0,
1563
+ "learning_rate": 4.000000000000001e-06,
1564
+ "loss": 0.3252,
1565
+ "step": 25500
1566
+ },
1567
+ {
1568
+ "epoch": 4.0,
1569
+ "eval_accuracy": 0.9937777777777778,
1570
+ "eval_loss": 0.026244711130857468,
1571
+ "eval_runtime": 37.8619,
1572
+ "eval_samples_per_second": 237.706,
1573
+ "eval_steps_per_second": 29.713,
1574
+ "step": 25500
1575
+ },
1576
+ {
1577
+ "epoch": 4.02,
1578
+ "learning_rate": 3.9372549019607846e-06,
1579
+ "loss": 0.2856,
1580
+ "step": 25600
1581
+ },
1582
+ {
1583
+ "epoch": 4.03,
1584
+ "learning_rate": 3.874509803921569e-06,
1585
+ "loss": 0.2335,
1586
+ "step": 25700
1587
+ },
1588
+ {
1589
+ "epoch": 4.05,
1590
+ "learning_rate": 3.8117647058823532e-06,
1591
+ "loss": 0.2649,
1592
+ "step": 25800
1593
+ },
1594
+ {
1595
+ "epoch": 4.06,
1596
+ "learning_rate": 3.7490196078431375e-06,
1597
+ "loss": 0.2944,
1598
+ "step": 25900
1599
+ },
1600
+ {
1601
+ "epoch": 4.08,
1602
+ "learning_rate": 3.6862745098039223e-06,
1603
+ "loss": 0.274,
1604
+ "step": 26000
1605
+ },
1606
+ {
1607
+ "epoch": 4.09,
1608
+ "learning_rate": 3.623529411764706e-06,
1609
+ "loss": 0.2954,
1610
+ "step": 26100
1611
+ },
1612
+ {
1613
+ "epoch": 4.11,
1614
+ "learning_rate": 3.5607843137254905e-06,
1615
+ "loss": 0.3167,
1616
+ "step": 26200
1617
+ },
1618
+ {
1619
+ "epoch": 4.13,
1620
+ "learning_rate": 3.498039215686275e-06,
1621
+ "loss": 0.2988,
1622
+ "step": 26300
1623
+ },
1624
+ {
1625
+ "epoch": 4.14,
1626
+ "learning_rate": 3.4352941176470587e-06,
1627
+ "loss": 0.2723,
1628
+ "step": 26400
1629
+ },
1630
+ {
1631
+ "epoch": 4.16,
1632
+ "learning_rate": 3.3725490196078435e-06,
1633
+ "loss": 0.2515,
1634
+ "step": 26500
1635
+ },
1636
+ {
1637
+ "epoch": 4.17,
1638
+ "learning_rate": 3.309803921568628e-06,
1639
+ "loss": 0.3059,
1640
+ "step": 26600
1641
+ },
1642
+ {
1643
+ "epoch": 4.19,
1644
+ "learning_rate": 3.247058823529412e-06,
1645
+ "loss": 0.2851,
1646
+ "step": 26700
1647
+ },
1648
+ {
1649
+ "epoch": 4.2,
1650
+ "learning_rate": 3.184313725490196e-06,
1651
+ "loss": 0.2909,
1652
+ "step": 26800
1653
+ },
1654
+ {
1655
+ "epoch": 4.22,
1656
+ "learning_rate": 3.1215686274509804e-06,
1657
+ "loss": 0.2882,
1658
+ "step": 26900
1659
+ },
1660
+ {
1661
+ "epoch": 4.24,
1662
+ "learning_rate": 3.058823529411765e-06,
1663
+ "loss": 0.245,
1664
+ "step": 27000
1665
+ },
1666
+ {
1667
+ "epoch": 4.25,
1668
+ "learning_rate": 2.9960784313725494e-06,
1669
+ "loss": 0.2893,
1670
+ "step": 27100
1671
+ },
1672
+ {
1673
+ "epoch": 4.27,
1674
+ "learning_rate": 2.9333333333333338e-06,
1675
+ "loss": 0.2718,
1676
+ "step": 27200
1677
+ },
1678
+ {
1679
+ "epoch": 4.28,
1680
+ "learning_rate": 2.8705882352941177e-06,
1681
+ "loss": 0.2973,
1682
+ "step": 27300
1683
+ },
1684
+ {
1685
+ "epoch": 4.3,
1686
+ "learning_rate": 2.807843137254902e-06,
1687
+ "loss": 0.2615,
1688
+ "step": 27400
1689
+ },
1690
+ {
1691
+ "epoch": 4.31,
1692
+ "learning_rate": 2.7450980392156867e-06,
1693
+ "loss": 0.2875,
1694
+ "step": 27500
1695
+ },
1696
+ {
1697
+ "epoch": 4.33,
1698
+ "learning_rate": 2.682352941176471e-06,
1699
+ "loss": 0.3191,
1700
+ "step": 27600
1701
+ },
1702
+ {
1703
+ "epoch": 4.35,
1704
+ "learning_rate": 2.619607843137255e-06,
1705
+ "loss": 0.2995,
1706
+ "step": 27700
1707
+ },
1708
+ {
1709
+ "epoch": 4.36,
1710
+ "learning_rate": 2.5568627450980393e-06,
1711
+ "loss": 0.3184,
1712
+ "step": 27800
1713
+ },
1714
+ {
1715
+ "epoch": 4.38,
1716
+ "learning_rate": 2.4941176470588236e-06,
1717
+ "loss": 0.3621,
1718
+ "step": 27900
1719
+ },
1720
+ {
1721
+ "epoch": 4.39,
1722
+ "learning_rate": 2.431372549019608e-06,
1723
+ "loss": 0.3315,
1724
+ "step": 28000
1725
+ },
1726
+ {
1727
+ "epoch": 4.41,
1728
+ "learning_rate": 2.3686274509803927e-06,
1729
+ "loss": 0.2731,
1730
+ "step": 28100
1731
+ },
1732
+ {
1733
+ "epoch": 4.42,
1734
+ "learning_rate": 2.3058823529411766e-06,
1735
+ "loss": 0.3311,
1736
+ "step": 28200
1737
+ },
1738
+ {
1739
+ "epoch": 4.44,
1740
+ "learning_rate": 2.243137254901961e-06,
1741
+ "loss": 0.3231,
1742
+ "step": 28300
1743
+ },
1744
+ {
1745
+ "epoch": 4.45,
1746
+ "learning_rate": 2.1803921568627452e-06,
1747
+ "loss": 0.2697,
1748
+ "step": 28400
1749
+ },
1750
+ {
1751
+ "epoch": 4.47,
1752
+ "learning_rate": 2.1176470588235296e-06,
1753
+ "loss": 0.2057,
1754
+ "step": 28500
1755
+ },
1756
+ {
1757
+ "epoch": 4.49,
1758
+ "learning_rate": 2.054901960784314e-06,
1759
+ "loss": 0.301,
1760
+ "step": 28600
1761
+ },
1762
+ {
1763
+ "epoch": 4.5,
1764
+ "learning_rate": 1.9921568627450982e-06,
1765
+ "loss": 0.2742,
1766
+ "step": 28700
1767
+ },
1768
+ {
1769
+ "epoch": 4.52,
1770
+ "learning_rate": 1.9294117647058825e-06,
1771
+ "loss": 0.3332,
1772
+ "step": 28800
1773
+ },
1774
+ {
1775
+ "epoch": 4.53,
1776
+ "learning_rate": 1.8666666666666669e-06,
1777
+ "loss": 0.2852,
1778
+ "step": 28900
1779
+ },
1780
+ {
1781
+ "epoch": 4.55,
1782
+ "learning_rate": 1.8039215686274512e-06,
1783
+ "loss": 0.2685,
1784
+ "step": 29000
1785
+ },
1786
+ {
1787
+ "epoch": 4.56,
1788
+ "learning_rate": 1.7411764705882353e-06,
1789
+ "loss": 0.2576,
1790
+ "step": 29100
1791
+ },
1792
+ {
1793
+ "epoch": 4.58,
1794
+ "learning_rate": 1.6784313725490198e-06,
1795
+ "loss": 0.2498,
1796
+ "step": 29200
1797
+ },
1798
+ {
1799
+ "epoch": 4.6,
1800
+ "learning_rate": 1.615686274509804e-06,
1801
+ "loss": 0.305,
1802
+ "step": 29300
1803
+ },
1804
+ {
1805
+ "epoch": 4.61,
1806
+ "learning_rate": 1.5529411764705885e-06,
1807
+ "loss": 0.333,
1808
+ "step": 29400
1809
+ },
1810
+ {
1811
+ "epoch": 4.63,
1812
+ "learning_rate": 1.4901960784313726e-06,
1813
+ "loss": 0.2751,
1814
+ "step": 29500
1815
+ },
1816
+ {
1817
+ "epoch": 4.64,
1818
+ "learning_rate": 1.427450980392157e-06,
1819
+ "loss": 0.2952,
1820
+ "step": 29600
1821
+ },
1822
+ {
1823
+ "epoch": 4.66,
1824
+ "learning_rate": 1.3647058823529413e-06,
1825
+ "loss": 0.2523,
1826
+ "step": 29700
1827
+ },
1828
+ {
1829
+ "epoch": 4.67,
1830
+ "learning_rate": 1.3019607843137256e-06,
1831
+ "loss": 0.3139,
1832
+ "step": 29800
1833
+ },
1834
+ {
1835
+ "epoch": 4.69,
1836
+ "learning_rate": 1.23921568627451e-06,
1837
+ "loss": 0.3337,
1838
+ "step": 29900
1839
+ },
1840
+ {
1841
+ "epoch": 4.71,
1842
+ "learning_rate": 1.1764705882352942e-06,
1843
+ "loss": 0.2828,
1844
+ "step": 30000
1845
+ },
1846
+ {
1847
+ "epoch": 4.72,
1848
+ "learning_rate": 1.1137254901960786e-06,
1849
+ "loss": 0.2612,
1850
+ "step": 30100
1851
+ },
1852
+ {
1853
+ "epoch": 4.74,
1854
+ "learning_rate": 1.0509803921568629e-06,
1855
+ "loss": 0.2731,
1856
+ "step": 30200
1857
+ },
1858
+ {
1859
+ "epoch": 4.75,
1860
+ "learning_rate": 9.88235294117647e-07,
1861
+ "loss": 0.2368,
1862
+ "step": 30300
1863
+ },
1864
+ {
1865
+ "epoch": 4.77,
1866
+ "learning_rate": 9.254901960784314e-07,
1867
+ "loss": 0.294,
1868
+ "step": 30400
1869
+ },
1870
+ {
1871
+ "epoch": 4.78,
1872
+ "learning_rate": 8.627450980392157e-07,
1873
+ "loss": 0.2785,
1874
+ "step": 30500
1875
+ },
1876
+ {
1877
+ "epoch": 4.8,
1878
+ "learning_rate": 8.000000000000001e-07,
1879
+ "loss": 0.2766,
1880
+ "step": 30600
1881
+ },
1882
+ {
1883
+ "epoch": 4.82,
1884
+ "learning_rate": 7.372549019607844e-07,
1885
+ "loss": 0.2555,
1886
+ "step": 30700
1887
+ },
1888
+ {
1889
+ "epoch": 4.83,
1890
+ "learning_rate": 6.745098039215686e-07,
1891
+ "loss": 0.304,
1892
+ "step": 30800
1893
+ },
1894
+ {
1895
+ "epoch": 4.85,
1896
+ "learning_rate": 6.11764705882353e-07,
1897
+ "loss": 0.3045,
1898
+ "step": 30900
1899
+ },
1900
+ {
1901
+ "epoch": 4.86,
1902
+ "learning_rate": 5.490196078431373e-07,
1903
+ "loss": 0.28,
1904
+ "step": 31000
1905
+ },
1906
+ {
1907
+ "epoch": 4.88,
1908
+ "learning_rate": 4.862745098039216e-07,
1909
+ "loss": 0.3639,
1910
+ "step": 31100
1911
+ },
1912
+ {
1913
+ "epoch": 4.89,
1914
+ "learning_rate": 4.235294117647059e-07,
1915
+ "loss": 0.2899,
1916
+ "step": 31200
1917
+ },
1918
+ {
1919
+ "epoch": 4.91,
1920
+ "learning_rate": 3.6078431372549024e-07,
1921
+ "loss": 0.3196,
1922
+ "step": 31300
1923
+ },
1924
+ {
1925
+ "epoch": 4.93,
1926
+ "learning_rate": 2.9803921568627456e-07,
1927
+ "loss": 0.2737,
1928
+ "step": 31400
1929
+ },
1930
+ {
1931
+ "epoch": 4.94,
1932
+ "learning_rate": 2.3529411764705883e-07,
1933
+ "loss": 0.2781,
1934
+ "step": 31500
1935
+ },
1936
+ {
1937
+ "epoch": 4.96,
1938
+ "learning_rate": 1.7254901960784313e-07,
1939
+ "loss": 0.264,
1940
+ "step": 31600
1941
+ },
1942
+ {
1943
+ "epoch": 4.97,
1944
+ "learning_rate": 1.0980392156862746e-07,
1945
+ "loss": 0.2394,
1946
+ "step": 31700
1947
+ },
1948
+ {
1949
+ "epoch": 4.99,
1950
+ "learning_rate": 4.705882352941176e-08,
1951
+ "loss": 0.2885,
1952
+ "step": 31800
1953
+ },
1954
+ {
1955
+ "epoch": 5.0,
1956
+ "eval_accuracy": 0.9947777777777778,
1957
+ "eval_loss": 0.023610670119524002,
1958
+ "eval_runtime": 38.1337,
1959
+ "eval_samples_per_second": 236.012,
1960
+ "eval_steps_per_second": 29.501,
1961
+ "step": 31875
1962
+ },
1963
+ {
1964
+ "epoch": 5.0,
1965
+ "step": 31875,
1966
+ "total_flos": 1.976187420555264e+19,
1967
+ "train_loss": 0.37173893965178845,
1968
+ "train_runtime": 3249.9087,
1969
+ "train_samples_per_second": 78.464,
1970
+ "train_steps_per_second": 9.808
1971
+ }
1972
+ ],
1973
+ "max_steps": 31875,
1974
+ "num_train_epochs": 5,
1975
+ "total_flos": 1.976187420555264e+19,
1976
+ "trial_name": null,
1977
+ "trial_params": null
1978
+ }