Gokulapriyan commited on
Commit
3429590
1 Parent(s): cc473a9

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.970766863713661,
4
+ "eval_loss": 0.07644093036651611,
5
+ "eval_runtime": 191.669,
6
+ "eval_samples_per_second": 64.429,
7
+ "eval_steps_per_second": 2.014,
8
+ "total_flos": 1.3656980870969426e+19,
9
+ "train_loss": 0.3689301585976457,
10
+ "train_runtime": 12770.7006,
11
+ "train_samples_per_second": 32.875,
12
+ "train_steps_per_second": 0.257
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.970766863713661,
4
+ "eval_loss": 0.07644093036651611,
5
+ "eval_runtime": 191.669,
6
+ "eval_samples_per_second": 64.429,
7
+ "eval_steps_per_second": 2.014
8
+ }
runs/Feb20_05-06-06_d0f31452d247/events.out.tfevents.1676882590.d0f31452d247.440.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:449619fa808fa11f606c64397dccbf3b950082f610fe2d3eeef8144e676b618e
3
+ size 363
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "total_flos": 1.3656980870969426e+19,
4
+ "train_loss": 0.3689301585976457,
5
+ "train_runtime": 12770.7006,
6
+ "train_samples_per_second": 32.875,
7
+ "train_steps_per_second": 0.257
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,2041 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.970766863713661,
3
+ "best_model_checkpoint": "swinv2-tiny-patch4-window8-256-finetuned-og-dataset-10e/checkpoint-3276",
4
+ "epoch": 5.998628257887518,
5
+ "global_step": 3276,
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": 1.5243902439024391e-06,
13
+ "loss": 1.3931,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.04,
18
+ "learning_rate": 3.0487804878048782e-06,
19
+ "loss": 1.3553,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.05,
24
+ "learning_rate": 4.573170731707317e-06,
25
+ "loss": 1.2902,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.07,
30
+ "learning_rate": 6.0975609756097564e-06,
31
+ "loss": 1.159,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.09,
36
+ "learning_rate": 7.621951219512195e-06,
37
+ "loss": 1.0435,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.11,
42
+ "learning_rate": 9.146341463414634e-06,
43
+ "loss": 0.9505,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.13,
48
+ "learning_rate": 1.0670731707317074e-05,
49
+ "loss": 0.8701,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.15,
54
+ "learning_rate": 1.2195121951219513e-05,
55
+ "loss": 0.8029,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.16,
60
+ "learning_rate": 1.3719512195121953e-05,
61
+ "loss": 0.7768,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.18,
66
+ "learning_rate": 1.524390243902439e-05,
67
+ "loss": 0.769,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.2,
72
+ "learning_rate": 1.676829268292683e-05,
73
+ "loss": 0.7661,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.22,
78
+ "learning_rate": 1.8292682926829268e-05,
79
+ "loss": 0.7545,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.24,
84
+ "learning_rate": 1.9817073170731708e-05,
85
+ "loss": 0.7431,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.26,
90
+ "learning_rate": 2.134146341463415e-05,
91
+ "loss": 0.7103,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.27,
96
+ "learning_rate": 2.286585365853659e-05,
97
+ "loss": 0.7522,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.29,
102
+ "learning_rate": 2.4390243902439026e-05,
103
+ "loss": 0.7387,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.31,
108
+ "learning_rate": 2.5914634146341466e-05,
109
+ "loss": 0.7177,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.33,
114
+ "learning_rate": 2.7439024390243906e-05,
115
+ "loss": 0.6914,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.35,
120
+ "learning_rate": 2.896341463414634e-05,
121
+ "loss": 0.6901,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.37,
126
+ "learning_rate": 3.048780487804878e-05,
127
+ "loss": 0.712,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.38,
132
+ "learning_rate": 3.201219512195122e-05,
133
+ "loss": 0.6809,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.4,
138
+ "learning_rate": 3.353658536585366e-05,
139
+ "loss": 0.6893,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.42,
144
+ "learning_rate": 3.5060975609756095e-05,
145
+ "loss": 0.6855,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.44,
150
+ "learning_rate": 3.6585365853658535e-05,
151
+ "loss": 0.6507,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.46,
156
+ "learning_rate": 3.8109756097560976e-05,
157
+ "loss": 0.6663,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.48,
162
+ "learning_rate": 3.9634146341463416e-05,
163
+ "loss": 0.6314,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.49,
168
+ "learning_rate": 4.1158536585365856e-05,
169
+ "loss": 0.6499,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.51,
174
+ "learning_rate": 4.26829268292683e-05,
175
+ "loss": 0.6157,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.53,
180
+ "learning_rate": 4.420731707317074e-05,
181
+ "loss": 0.6448,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.55,
186
+ "learning_rate": 4.573170731707318e-05,
187
+ "loss": 0.626,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.57,
192
+ "learning_rate": 4.725609756097561e-05,
193
+ "loss": 0.6497,
194
+ "step": 310
195
+ },
196
+ {
197
+ "epoch": 0.59,
198
+ "learning_rate": 4.878048780487805e-05,
199
+ "loss": 0.6293,
200
+ "step": 320
201
+ },
202
+ {
203
+ "epoch": 0.6,
204
+ "learning_rate": 4.996607869742198e-05,
205
+ "loss": 0.6415,
206
+ "step": 330
207
+ },
208
+ {
209
+ "epoch": 0.62,
210
+ "learning_rate": 4.979647218453189e-05,
211
+ "loss": 0.6102,
212
+ "step": 340
213
+ },
214
+ {
215
+ "epoch": 0.64,
216
+ "learning_rate": 4.9626865671641794e-05,
217
+ "loss": 0.6512,
218
+ "step": 350
219
+ },
220
+ {
221
+ "epoch": 0.66,
222
+ "learning_rate": 4.94572591587517e-05,
223
+ "loss": 0.6064,
224
+ "step": 360
225
+ },
226
+ {
227
+ "epoch": 0.68,
228
+ "learning_rate": 4.928765264586161e-05,
229
+ "loss": 0.5877,
230
+ "step": 370
231
+ },
232
+ {
233
+ "epoch": 0.7,
234
+ "learning_rate": 4.911804613297151e-05,
235
+ "loss": 0.5821,
236
+ "step": 380
237
+ },
238
+ {
239
+ "epoch": 0.71,
240
+ "learning_rate": 4.894843962008141e-05,
241
+ "loss": 0.5949,
242
+ "step": 390
243
+ },
244
+ {
245
+ "epoch": 0.73,
246
+ "learning_rate": 4.877883310719132e-05,
247
+ "loss": 0.5962,
248
+ "step": 400
249
+ },
250
+ {
251
+ "epoch": 0.75,
252
+ "learning_rate": 4.860922659430122e-05,
253
+ "loss": 0.5869,
254
+ "step": 410
255
+ },
256
+ {
257
+ "epoch": 0.77,
258
+ "learning_rate": 4.843962008141113e-05,
259
+ "loss": 0.5715,
260
+ "step": 420
261
+ },
262
+ {
263
+ "epoch": 0.79,
264
+ "learning_rate": 4.827001356852103e-05,
265
+ "loss": 0.5813,
266
+ "step": 430
267
+ },
268
+ {
269
+ "epoch": 0.8,
270
+ "learning_rate": 4.810040705563094e-05,
271
+ "loss": 0.5453,
272
+ "step": 440
273
+ },
274
+ {
275
+ "epoch": 0.82,
276
+ "learning_rate": 4.7930800542740845e-05,
277
+ "loss": 0.5238,
278
+ "step": 450
279
+ },
280
+ {
281
+ "epoch": 0.84,
282
+ "learning_rate": 4.7761194029850745e-05,
283
+ "loss": 0.5694,
284
+ "step": 460
285
+ },
286
+ {
287
+ "epoch": 0.86,
288
+ "learning_rate": 4.759158751696066e-05,
289
+ "loss": 0.5582,
290
+ "step": 470
291
+ },
292
+ {
293
+ "epoch": 0.88,
294
+ "learning_rate": 4.742198100407056e-05,
295
+ "loss": 0.539,
296
+ "step": 480
297
+ },
298
+ {
299
+ "epoch": 0.9,
300
+ "learning_rate": 4.7252374491180465e-05,
301
+ "loss": 0.6055,
302
+ "step": 490
303
+ },
304
+ {
305
+ "epoch": 0.91,
306
+ "learning_rate": 4.708276797829037e-05,
307
+ "loss": 0.5623,
308
+ "step": 500
309
+ },
310
+ {
311
+ "epoch": 0.93,
312
+ "learning_rate": 4.691316146540027e-05,
313
+ "loss": 0.5771,
314
+ "step": 510
315
+ },
316
+ {
317
+ "epoch": 0.95,
318
+ "learning_rate": 4.674355495251018e-05,
319
+ "loss": 0.5273,
320
+ "step": 520
321
+ },
322
+ {
323
+ "epoch": 0.97,
324
+ "learning_rate": 4.6573948439620084e-05,
325
+ "loss": 0.5157,
326
+ "step": 530
327
+ },
328
+ {
329
+ "epoch": 0.99,
330
+ "learning_rate": 4.640434192672999e-05,
331
+ "loss": 0.5433,
332
+ "step": 540
333
+ },
334
+ {
335
+ "epoch": 1.0,
336
+ "eval_accuracy": 0.8537533403514455,
337
+ "eval_loss": 0.36576539278030396,
338
+ "eval_runtime": 206.4632,
339
+ "eval_samples_per_second": 59.812,
340
+ "eval_steps_per_second": 1.87,
341
+ "step": 546
342
+ },
343
+ {
344
+ "epoch": 1.01,
345
+ "learning_rate": 4.623473541383989e-05,
346
+ "loss": 0.5664,
347
+ "step": 550
348
+ },
349
+ {
350
+ "epoch": 1.03,
351
+ "learning_rate": 4.60651289009498e-05,
352
+ "loss": 0.5373,
353
+ "step": 560
354
+ },
355
+ {
356
+ "epoch": 1.04,
357
+ "learning_rate": 4.58955223880597e-05,
358
+ "loss": 0.4839,
359
+ "step": 570
360
+ },
361
+ {
362
+ "epoch": 1.06,
363
+ "learning_rate": 4.57259158751696e-05,
364
+ "loss": 0.5462,
365
+ "step": 580
366
+ },
367
+ {
368
+ "epoch": 1.08,
369
+ "learning_rate": 4.5556309362279516e-05,
370
+ "loss": 0.4843,
371
+ "step": 590
372
+ },
373
+ {
374
+ "epoch": 1.1,
375
+ "learning_rate": 4.5386702849389416e-05,
376
+ "loss": 0.4725,
377
+ "step": 600
378
+ },
379
+ {
380
+ "epoch": 1.12,
381
+ "learning_rate": 4.521709633649933e-05,
382
+ "loss": 0.51,
383
+ "step": 610
384
+ },
385
+ {
386
+ "epoch": 1.14,
387
+ "learning_rate": 4.504748982360923e-05,
388
+ "loss": 0.5125,
389
+ "step": 620
390
+ },
391
+ {
392
+ "epoch": 1.15,
393
+ "learning_rate": 4.4877883310719135e-05,
394
+ "loss": 0.4948,
395
+ "step": 630
396
+ },
397
+ {
398
+ "epoch": 1.17,
399
+ "learning_rate": 4.470827679782904e-05,
400
+ "loss": 0.5021,
401
+ "step": 640
402
+ },
403
+ {
404
+ "epoch": 1.19,
405
+ "learning_rate": 4.453867028493894e-05,
406
+ "loss": 0.5344,
407
+ "step": 650
408
+ },
409
+ {
410
+ "epoch": 1.21,
411
+ "learning_rate": 4.436906377204885e-05,
412
+ "loss": 0.4832,
413
+ "step": 660
414
+ },
415
+ {
416
+ "epoch": 1.23,
417
+ "learning_rate": 4.4199457259158754e-05,
418
+ "loss": 0.4625,
419
+ "step": 670
420
+ },
421
+ {
422
+ "epoch": 1.25,
423
+ "learning_rate": 4.402985074626866e-05,
424
+ "loss": 0.4824,
425
+ "step": 680
426
+ },
427
+ {
428
+ "epoch": 1.26,
429
+ "learning_rate": 4.386024423337856e-05,
430
+ "loss": 0.4513,
431
+ "step": 690
432
+ },
433
+ {
434
+ "epoch": 1.28,
435
+ "learning_rate": 4.369063772048847e-05,
436
+ "loss": 0.4382,
437
+ "step": 700
438
+ },
439
+ {
440
+ "epoch": 1.3,
441
+ "learning_rate": 4.3521031207598374e-05,
442
+ "loss": 0.4615,
443
+ "step": 710
444
+ },
445
+ {
446
+ "epoch": 1.32,
447
+ "learning_rate": 4.335142469470828e-05,
448
+ "loss": 0.4568,
449
+ "step": 720
450
+ },
451
+ {
452
+ "epoch": 1.34,
453
+ "learning_rate": 4.318181818181819e-05,
454
+ "loss": 0.4518,
455
+ "step": 730
456
+ },
457
+ {
458
+ "epoch": 1.35,
459
+ "learning_rate": 4.3012211668928086e-05,
460
+ "loss": 0.4651,
461
+ "step": 740
462
+ },
463
+ {
464
+ "epoch": 1.37,
465
+ "learning_rate": 4.284260515603799e-05,
466
+ "loss": 0.4494,
467
+ "step": 750
468
+ },
469
+ {
470
+ "epoch": 1.39,
471
+ "learning_rate": 4.26729986431479e-05,
472
+ "loss": 0.4458,
473
+ "step": 760
474
+ },
475
+ {
476
+ "epoch": 1.41,
477
+ "learning_rate": 4.25033921302578e-05,
478
+ "loss": 0.427,
479
+ "step": 770
480
+ },
481
+ {
482
+ "epoch": 1.43,
483
+ "learning_rate": 4.233378561736771e-05,
484
+ "loss": 0.4564,
485
+ "step": 780
486
+ },
487
+ {
488
+ "epoch": 1.45,
489
+ "learning_rate": 4.216417910447761e-05,
490
+ "loss": 0.3992,
491
+ "step": 790
492
+ },
493
+ {
494
+ "epoch": 1.46,
495
+ "learning_rate": 4.199457259158752e-05,
496
+ "loss": 0.4369,
497
+ "step": 800
498
+ },
499
+ {
500
+ "epoch": 1.48,
501
+ "learning_rate": 4.1824966078697425e-05,
502
+ "loss": 0.4514,
503
+ "step": 810
504
+ },
505
+ {
506
+ "epoch": 1.5,
507
+ "learning_rate": 4.1655359565807325e-05,
508
+ "loss": 0.4554,
509
+ "step": 820
510
+ },
511
+ {
512
+ "epoch": 1.52,
513
+ "learning_rate": 4.148575305291724e-05,
514
+ "loss": 0.4295,
515
+ "step": 830
516
+ },
517
+ {
518
+ "epoch": 1.54,
519
+ "learning_rate": 4.131614654002714e-05,
520
+ "loss": 0.3885,
521
+ "step": 840
522
+ },
523
+ {
524
+ "epoch": 1.56,
525
+ "learning_rate": 4.1146540027137044e-05,
526
+ "loss": 0.3984,
527
+ "step": 850
528
+ },
529
+ {
530
+ "epoch": 1.57,
531
+ "learning_rate": 4.097693351424695e-05,
532
+ "loss": 0.4286,
533
+ "step": 860
534
+ },
535
+ {
536
+ "epoch": 1.59,
537
+ "learning_rate": 4.080732700135686e-05,
538
+ "loss": 0.3896,
539
+ "step": 870
540
+ },
541
+ {
542
+ "epoch": 1.61,
543
+ "learning_rate": 4.063772048846676e-05,
544
+ "loss": 0.4155,
545
+ "step": 880
546
+ },
547
+ {
548
+ "epoch": 1.63,
549
+ "learning_rate": 4.0468113975576664e-05,
550
+ "loss": 0.4385,
551
+ "step": 890
552
+ },
553
+ {
554
+ "epoch": 1.65,
555
+ "learning_rate": 4.029850746268657e-05,
556
+ "loss": 0.4015,
557
+ "step": 900
558
+ },
559
+ {
560
+ "epoch": 1.67,
561
+ "learning_rate": 4.012890094979647e-05,
562
+ "loss": 0.4346,
563
+ "step": 910
564
+ },
565
+ {
566
+ "epoch": 1.68,
567
+ "learning_rate": 3.995929443690638e-05,
568
+ "loss": 0.4322,
569
+ "step": 920
570
+ },
571
+ {
572
+ "epoch": 1.7,
573
+ "learning_rate": 3.978968792401628e-05,
574
+ "loss": 0.4195,
575
+ "step": 930
576
+ },
577
+ {
578
+ "epoch": 1.72,
579
+ "learning_rate": 3.962008141112619e-05,
580
+ "loss": 0.4291,
581
+ "step": 940
582
+ },
583
+ {
584
+ "epoch": 1.74,
585
+ "learning_rate": 3.9450474898236096e-05,
586
+ "loss": 0.3944,
587
+ "step": 950
588
+ },
589
+ {
590
+ "epoch": 1.76,
591
+ "learning_rate": 3.9280868385345995e-05,
592
+ "loss": 0.419,
593
+ "step": 960
594
+ },
595
+ {
596
+ "epoch": 1.78,
597
+ "learning_rate": 3.911126187245591e-05,
598
+ "loss": 0.4262,
599
+ "step": 970
600
+ },
601
+ {
602
+ "epoch": 1.79,
603
+ "learning_rate": 3.894165535956581e-05,
604
+ "loss": 0.3908,
605
+ "step": 980
606
+ },
607
+ {
608
+ "epoch": 1.81,
609
+ "learning_rate": 3.8772048846675715e-05,
610
+ "loss": 0.3874,
611
+ "step": 990
612
+ },
613
+ {
614
+ "epoch": 1.83,
615
+ "learning_rate": 3.860244233378562e-05,
616
+ "loss": 0.4107,
617
+ "step": 1000
618
+ },
619
+ {
620
+ "epoch": 1.85,
621
+ "learning_rate": 3.843283582089552e-05,
622
+ "loss": 0.4068,
623
+ "step": 1010
624
+ },
625
+ {
626
+ "epoch": 1.87,
627
+ "learning_rate": 3.826322930800543e-05,
628
+ "loss": 0.4207,
629
+ "step": 1020
630
+ },
631
+ {
632
+ "epoch": 1.89,
633
+ "learning_rate": 3.8093622795115334e-05,
634
+ "loss": 0.3736,
635
+ "step": 1030
636
+ },
637
+ {
638
+ "epoch": 1.9,
639
+ "learning_rate": 3.792401628222524e-05,
640
+ "loss": 0.3588,
641
+ "step": 1040
642
+ },
643
+ {
644
+ "epoch": 1.92,
645
+ "learning_rate": 3.775440976933514e-05,
646
+ "loss": 0.3974,
647
+ "step": 1050
648
+ },
649
+ {
650
+ "epoch": 1.94,
651
+ "learning_rate": 3.7584803256445054e-05,
652
+ "loss": 0.448,
653
+ "step": 1060
654
+ },
655
+ {
656
+ "epoch": 1.96,
657
+ "learning_rate": 3.741519674355495e-05,
658
+ "loss": 0.4074,
659
+ "step": 1070
660
+ },
661
+ {
662
+ "epoch": 1.98,
663
+ "learning_rate": 3.724559023066486e-05,
664
+ "loss": 0.3548,
665
+ "step": 1080
666
+ },
667
+ {
668
+ "epoch": 1.99,
669
+ "learning_rate": 3.7075983717774766e-05,
670
+ "loss": 0.366,
671
+ "step": 1090
672
+ },
673
+ {
674
+ "epoch": 2.0,
675
+ "eval_accuracy": 0.91545874159851,
676
+ "eval_loss": 0.21362212300300598,
677
+ "eval_runtime": 203.5259,
678
+ "eval_samples_per_second": 60.675,
679
+ "eval_steps_per_second": 1.897,
680
+ "step": 1092
681
+ },
682
+ {
683
+ "epoch": 2.01,
684
+ "learning_rate": 3.6906377204884666e-05,
685
+ "loss": 0.4042,
686
+ "step": 1100
687
+ },
688
+ {
689
+ "epoch": 2.03,
690
+ "learning_rate": 3.673677069199458e-05,
691
+ "loss": 0.3562,
692
+ "step": 1110
693
+ },
694
+ {
695
+ "epoch": 2.05,
696
+ "learning_rate": 3.656716417910448e-05,
697
+ "loss": 0.3795,
698
+ "step": 1120
699
+ },
700
+ {
701
+ "epoch": 2.07,
702
+ "learning_rate": 3.6397557666214386e-05,
703
+ "loss": 0.3778,
704
+ "step": 1130
705
+ },
706
+ {
707
+ "epoch": 2.09,
708
+ "learning_rate": 3.622795115332429e-05,
709
+ "loss": 0.3401,
710
+ "step": 1140
711
+ },
712
+ {
713
+ "epoch": 2.11,
714
+ "learning_rate": 3.605834464043419e-05,
715
+ "loss": 0.3334,
716
+ "step": 1150
717
+ },
718
+ {
719
+ "epoch": 2.12,
720
+ "learning_rate": 3.58887381275441e-05,
721
+ "loss": 0.3529,
722
+ "step": 1160
723
+ },
724
+ {
725
+ "epoch": 2.14,
726
+ "learning_rate": 3.5719131614654005e-05,
727
+ "loss": 0.3724,
728
+ "step": 1170
729
+ },
730
+ {
731
+ "epoch": 2.16,
732
+ "learning_rate": 3.554952510176391e-05,
733
+ "loss": 0.3719,
734
+ "step": 1180
735
+ },
736
+ {
737
+ "epoch": 2.18,
738
+ "learning_rate": 3.537991858887382e-05,
739
+ "loss": 0.3561,
740
+ "step": 1190
741
+ },
742
+ {
743
+ "epoch": 2.2,
744
+ "learning_rate": 3.521031207598372e-05,
745
+ "loss": 0.3711,
746
+ "step": 1200
747
+ },
748
+ {
749
+ "epoch": 2.22,
750
+ "learning_rate": 3.5040705563093624e-05,
751
+ "loss": 0.3743,
752
+ "step": 1210
753
+ },
754
+ {
755
+ "epoch": 2.23,
756
+ "learning_rate": 3.487109905020353e-05,
757
+ "loss": 0.3608,
758
+ "step": 1220
759
+ },
760
+ {
761
+ "epoch": 2.25,
762
+ "learning_rate": 3.470149253731344e-05,
763
+ "loss": 0.3561,
764
+ "step": 1230
765
+ },
766
+ {
767
+ "epoch": 2.27,
768
+ "learning_rate": 3.453188602442334e-05,
769
+ "loss": 0.3773,
770
+ "step": 1240
771
+ },
772
+ {
773
+ "epoch": 2.29,
774
+ "learning_rate": 3.436227951153324e-05,
775
+ "loss": 0.3753,
776
+ "step": 1250
777
+ },
778
+ {
779
+ "epoch": 2.31,
780
+ "learning_rate": 3.419267299864315e-05,
781
+ "loss": 0.3408,
782
+ "step": 1260
783
+ },
784
+ {
785
+ "epoch": 2.33,
786
+ "learning_rate": 3.402306648575305e-05,
787
+ "loss": 0.3511,
788
+ "step": 1270
789
+ },
790
+ {
791
+ "epoch": 2.34,
792
+ "learning_rate": 3.385345997286296e-05,
793
+ "loss": 0.3459,
794
+ "step": 1280
795
+ },
796
+ {
797
+ "epoch": 2.36,
798
+ "learning_rate": 3.368385345997286e-05,
799
+ "loss": 0.3422,
800
+ "step": 1290
801
+ },
802
+ {
803
+ "epoch": 2.38,
804
+ "learning_rate": 3.351424694708277e-05,
805
+ "loss": 0.3094,
806
+ "step": 1300
807
+ },
808
+ {
809
+ "epoch": 2.4,
810
+ "learning_rate": 3.3344640434192675e-05,
811
+ "loss": 0.3451,
812
+ "step": 1310
813
+ },
814
+ {
815
+ "epoch": 2.42,
816
+ "learning_rate": 3.3175033921302575e-05,
817
+ "loss": 0.3368,
818
+ "step": 1320
819
+ },
820
+ {
821
+ "epoch": 2.44,
822
+ "learning_rate": 3.300542740841249e-05,
823
+ "loss": 0.3197,
824
+ "step": 1330
825
+ },
826
+ {
827
+ "epoch": 2.45,
828
+ "learning_rate": 3.283582089552239e-05,
829
+ "loss": 0.3501,
830
+ "step": 1340
831
+ },
832
+ {
833
+ "epoch": 2.47,
834
+ "learning_rate": 3.2666214382632295e-05,
835
+ "loss": 0.3403,
836
+ "step": 1350
837
+ },
838
+ {
839
+ "epoch": 2.49,
840
+ "learning_rate": 3.24966078697422e-05,
841
+ "loss": 0.3609,
842
+ "step": 1360
843
+ },
844
+ {
845
+ "epoch": 2.51,
846
+ "learning_rate": 3.232700135685211e-05,
847
+ "loss": 0.3305,
848
+ "step": 1370
849
+ },
850
+ {
851
+ "epoch": 2.53,
852
+ "learning_rate": 3.215739484396201e-05,
853
+ "loss": 0.3445,
854
+ "step": 1380
855
+ },
856
+ {
857
+ "epoch": 2.55,
858
+ "learning_rate": 3.1987788331071914e-05,
859
+ "loss": 0.3352,
860
+ "step": 1390
861
+ },
862
+ {
863
+ "epoch": 2.56,
864
+ "learning_rate": 3.181818181818182e-05,
865
+ "loss": 0.3215,
866
+ "step": 1400
867
+ },
868
+ {
869
+ "epoch": 2.58,
870
+ "learning_rate": 3.164857530529172e-05,
871
+ "loss": 0.3233,
872
+ "step": 1410
873
+ },
874
+ {
875
+ "epoch": 2.6,
876
+ "learning_rate": 3.147896879240163e-05,
877
+ "loss": 0.3439,
878
+ "step": 1420
879
+ },
880
+ {
881
+ "epoch": 2.62,
882
+ "learning_rate": 3.130936227951153e-05,
883
+ "loss": 0.3357,
884
+ "step": 1430
885
+ },
886
+ {
887
+ "epoch": 2.64,
888
+ "learning_rate": 3.113975576662144e-05,
889
+ "loss": 0.3139,
890
+ "step": 1440
891
+ },
892
+ {
893
+ "epoch": 2.65,
894
+ "learning_rate": 3.0970149253731346e-05,
895
+ "loss": 0.3227,
896
+ "step": 1450
897
+ },
898
+ {
899
+ "epoch": 2.67,
900
+ "learning_rate": 3.0800542740841246e-05,
901
+ "loss": 0.2932,
902
+ "step": 1460
903
+ },
904
+ {
905
+ "epoch": 2.69,
906
+ "learning_rate": 3.063093622795116e-05,
907
+ "loss": 0.2985,
908
+ "step": 1470
909
+ },
910
+ {
911
+ "epoch": 2.71,
912
+ "learning_rate": 3.046132971506106e-05,
913
+ "loss": 0.3389,
914
+ "step": 1480
915
+ },
916
+ {
917
+ "epoch": 2.73,
918
+ "learning_rate": 3.0291723202170962e-05,
919
+ "loss": 0.3213,
920
+ "step": 1490
921
+ },
922
+ {
923
+ "epoch": 2.75,
924
+ "learning_rate": 3.0122116689280872e-05,
925
+ "loss": 0.312,
926
+ "step": 1500
927
+ },
928
+ {
929
+ "epoch": 2.76,
930
+ "learning_rate": 2.9952510176390775e-05,
931
+ "loss": 0.312,
932
+ "step": 1510
933
+ },
934
+ {
935
+ "epoch": 2.78,
936
+ "learning_rate": 2.9782903663500678e-05,
937
+ "loss": 0.2871,
938
+ "step": 1520
939
+ },
940
+ {
941
+ "epoch": 2.8,
942
+ "learning_rate": 2.9613297150610584e-05,
943
+ "loss": 0.3308,
944
+ "step": 1530
945
+ },
946
+ {
947
+ "epoch": 2.82,
948
+ "learning_rate": 2.9443690637720488e-05,
949
+ "loss": 0.28,
950
+ "step": 1540
951
+ },
952
+ {
953
+ "epoch": 2.84,
954
+ "learning_rate": 2.9274084124830397e-05,
955
+ "loss": 0.288,
956
+ "step": 1550
957
+ },
958
+ {
959
+ "epoch": 2.86,
960
+ "learning_rate": 2.91044776119403e-05,
961
+ "loss": 0.3126,
962
+ "step": 1560
963
+ },
964
+ {
965
+ "epoch": 2.87,
966
+ "learning_rate": 2.8934871099050204e-05,
967
+ "loss": 0.2924,
968
+ "step": 1570
969
+ },
970
+ {
971
+ "epoch": 2.89,
972
+ "learning_rate": 2.8765264586160114e-05,
973
+ "loss": 0.2895,
974
+ "step": 1580
975
+ },
976
+ {
977
+ "epoch": 2.91,
978
+ "learning_rate": 2.8595658073270017e-05,
979
+ "loss": 0.2773,
980
+ "step": 1590
981
+ },
982
+ {
983
+ "epoch": 2.93,
984
+ "learning_rate": 2.842605156037992e-05,
985
+ "loss": 0.287,
986
+ "step": 1600
987
+ },
988
+ {
989
+ "epoch": 2.95,
990
+ "learning_rate": 2.8256445047489826e-05,
991
+ "loss": 0.3182,
992
+ "step": 1610
993
+ },
994
+ {
995
+ "epoch": 2.97,
996
+ "learning_rate": 2.808683853459973e-05,
997
+ "loss": 0.3315,
998
+ "step": 1620
999
+ },
1000
+ {
1001
+ "epoch": 2.98,
1002
+ "learning_rate": 2.7917232021709632e-05,
1003
+ "loss": 0.3109,
1004
+ "step": 1630
1005
+ },
1006
+ {
1007
+ "epoch": 3.0,
1008
+ "eval_accuracy": 0.9499554619807272,
1009
+ "eval_loss": 0.1381101757287979,
1010
+ "eval_runtime": 200.9359,
1011
+ "eval_samples_per_second": 61.457,
1012
+ "eval_steps_per_second": 1.921,
1013
+ "step": 1638
1014
+ },
1015
+ {
1016
+ "epoch": 3.0,
1017
+ "learning_rate": 2.7747625508819542e-05,
1018
+ "loss": 0.3194,
1019
+ "step": 1640
1020
+ },
1021
+ {
1022
+ "epoch": 3.02,
1023
+ "learning_rate": 2.7578018995929445e-05,
1024
+ "loss": 0.2683,
1025
+ "step": 1650
1026
+ },
1027
+ {
1028
+ "epoch": 3.04,
1029
+ "learning_rate": 2.740841248303935e-05,
1030
+ "loss": 0.2782,
1031
+ "step": 1660
1032
+ },
1033
+ {
1034
+ "epoch": 3.06,
1035
+ "learning_rate": 2.7238805970149255e-05,
1036
+ "loss": 0.3173,
1037
+ "step": 1670
1038
+ },
1039
+ {
1040
+ "epoch": 3.08,
1041
+ "learning_rate": 2.7069199457259158e-05,
1042
+ "loss": 0.2727,
1043
+ "step": 1680
1044
+ },
1045
+ {
1046
+ "epoch": 3.1,
1047
+ "learning_rate": 2.6899592944369068e-05,
1048
+ "loss": 0.3061,
1049
+ "step": 1690
1050
+ },
1051
+ {
1052
+ "epoch": 3.11,
1053
+ "learning_rate": 2.672998643147897e-05,
1054
+ "loss": 0.3275,
1055
+ "step": 1700
1056
+ },
1057
+ {
1058
+ "epoch": 3.13,
1059
+ "learning_rate": 2.6560379918588874e-05,
1060
+ "loss": 0.2705,
1061
+ "step": 1710
1062
+ },
1063
+ {
1064
+ "epoch": 3.15,
1065
+ "learning_rate": 2.639077340569878e-05,
1066
+ "loss": 0.2868,
1067
+ "step": 1720
1068
+ },
1069
+ {
1070
+ "epoch": 3.17,
1071
+ "learning_rate": 2.6221166892808684e-05,
1072
+ "loss": 0.3137,
1073
+ "step": 1730
1074
+ },
1075
+ {
1076
+ "epoch": 3.19,
1077
+ "learning_rate": 2.6051560379918587e-05,
1078
+ "loss": 0.3149,
1079
+ "step": 1740
1080
+ },
1081
+ {
1082
+ "epoch": 3.2,
1083
+ "learning_rate": 2.5881953867028497e-05,
1084
+ "loss": 0.2753,
1085
+ "step": 1750
1086
+ },
1087
+ {
1088
+ "epoch": 3.22,
1089
+ "learning_rate": 2.57123473541384e-05,
1090
+ "loss": 0.2677,
1091
+ "step": 1760
1092
+ },
1093
+ {
1094
+ "epoch": 3.24,
1095
+ "learning_rate": 2.5542740841248303e-05,
1096
+ "loss": 0.2966,
1097
+ "step": 1770
1098
+ },
1099
+ {
1100
+ "epoch": 3.26,
1101
+ "learning_rate": 2.537313432835821e-05,
1102
+ "loss": 0.3174,
1103
+ "step": 1780
1104
+ },
1105
+ {
1106
+ "epoch": 3.28,
1107
+ "learning_rate": 2.5203527815468113e-05,
1108
+ "loss": 0.2945,
1109
+ "step": 1790
1110
+ },
1111
+ {
1112
+ "epoch": 3.3,
1113
+ "learning_rate": 2.5033921302578023e-05,
1114
+ "loss": 0.2543,
1115
+ "step": 1800
1116
+ },
1117
+ {
1118
+ "epoch": 3.31,
1119
+ "learning_rate": 2.4864314789687926e-05,
1120
+ "loss": 0.294,
1121
+ "step": 1810
1122
+ },
1123
+ {
1124
+ "epoch": 3.33,
1125
+ "learning_rate": 2.469470827679783e-05,
1126
+ "loss": 0.2789,
1127
+ "step": 1820
1128
+ },
1129
+ {
1130
+ "epoch": 3.35,
1131
+ "learning_rate": 2.4525101763907735e-05,
1132
+ "loss": 0.2879,
1133
+ "step": 1830
1134
+ },
1135
+ {
1136
+ "epoch": 3.37,
1137
+ "learning_rate": 2.4355495251017642e-05,
1138
+ "loss": 0.2986,
1139
+ "step": 1840
1140
+ },
1141
+ {
1142
+ "epoch": 3.39,
1143
+ "learning_rate": 2.4185888738127545e-05,
1144
+ "loss": 0.2901,
1145
+ "step": 1850
1146
+ },
1147
+ {
1148
+ "epoch": 3.41,
1149
+ "learning_rate": 2.4016282225237448e-05,
1150
+ "loss": 0.2698,
1151
+ "step": 1860
1152
+ },
1153
+ {
1154
+ "epoch": 3.42,
1155
+ "learning_rate": 2.3846675712347355e-05,
1156
+ "loss": 0.2611,
1157
+ "step": 1870
1158
+ },
1159
+ {
1160
+ "epoch": 3.44,
1161
+ "learning_rate": 2.367706919945726e-05,
1162
+ "loss": 0.2883,
1163
+ "step": 1880
1164
+ },
1165
+ {
1166
+ "epoch": 3.46,
1167
+ "learning_rate": 2.3507462686567168e-05,
1168
+ "loss": 0.2847,
1169
+ "step": 1890
1170
+ },
1171
+ {
1172
+ "epoch": 3.48,
1173
+ "learning_rate": 2.333785617367707e-05,
1174
+ "loss": 0.2719,
1175
+ "step": 1900
1176
+ },
1177
+ {
1178
+ "epoch": 3.5,
1179
+ "learning_rate": 2.3168249660786974e-05,
1180
+ "loss": 0.2584,
1181
+ "step": 1910
1182
+ },
1183
+ {
1184
+ "epoch": 3.52,
1185
+ "learning_rate": 2.299864314789688e-05,
1186
+ "loss": 0.2926,
1187
+ "step": 1920
1188
+ },
1189
+ {
1190
+ "epoch": 3.53,
1191
+ "learning_rate": 2.2829036635006783e-05,
1192
+ "loss": 0.2668,
1193
+ "step": 1930
1194
+ },
1195
+ {
1196
+ "epoch": 3.55,
1197
+ "learning_rate": 2.265943012211669e-05,
1198
+ "loss": 0.2912,
1199
+ "step": 1940
1200
+ },
1201
+ {
1202
+ "epoch": 3.57,
1203
+ "learning_rate": 2.2489823609226596e-05,
1204
+ "loss": 0.2745,
1205
+ "step": 1950
1206
+ },
1207
+ {
1208
+ "epoch": 3.59,
1209
+ "learning_rate": 2.2320217096336503e-05,
1210
+ "loss": 0.2759,
1211
+ "step": 1960
1212
+ },
1213
+ {
1214
+ "epoch": 3.61,
1215
+ "learning_rate": 2.2150610583446406e-05,
1216
+ "loss": 0.2509,
1217
+ "step": 1970
1218
+ },
1219
+ {
1220
+ "epoch": 3.63,
1221
+ "learning_rate": 2.198100407055631e-05,
1222
+ "loss": 0.2616,
1223
+ "step": 1980
1224
+ },
1225
+ {
1226
+ "epoch": 3.64,
1227
+ "learning_rate": 2.1811397557666216e-05,
1228
+ "loss": 0.2628,
1229
+ "step": 1990
1230
+ },
1231
+ {
1232
+ "epoch": 3.66,
1233
+ "learning_rate": 2.164179104477612e-05,
1234
+ "loss": 0.2723,
1235
+ "step": 2000
1236
+ },
1237
+ {
1238
+ "epoch": 3.68,
1239
+ "learning_rate": 2.1472184531886025e-05,
1240
+ "loss": 0.2682,
1241
+ "step": 2010
1242
+ },
1243
+ {
1244
+ "epoch": 3.7,
1245
+ "learning_rate": 2.130257801899593e-05,
1246
+ "loss": 0.2729,
1247
+ "step": 2020
1248
+ },
1249
+ {
1250
+ "epoch": 3.72,
1251
+ "learning_rate": 2.1132971506105835e-05,
1252
+ "loss": 0.2861,
1253
+ "step": 2030
1254
+ },
1255
+ {
1256
+ "epoch": 3.74,
1257
+ "learning_rate": 2.0963364993215738e-05,
1258
+ "loss": 0.2803,
1259
+ "step": 2040
1260
+ },
1261
+ {
1262
+ "epoch": 3.75,
1263
+ "learning_rate": 2.0793758480325644e-05,
1264
+ "loss": 0.2415,
1265
+ "step": 2050
1266
+ },
1267
+ {
1268
+ "epoch": 3.77,
1269
+ "learning_rate": 2.062415196743555e-05,
1270
+ "loss": 0.2758,
1271
+ "step": 2060
1272
+ },
1273
+ {
1274
+ "epoch": 3.79,
1275
+ "learning_rate": 2.0454545454545457e-05,
1276
+ "loss": 0.2663,
1277
+ "step": 2070
1278
+ },
1279
+ {
1280
+ "epoch": 3.81,
1281
+ "learning_rate": 2.028493894165536e-05,
1282
+ "loss": 0.2573,
1283
+ "step": 2080
1284
+ },
1285
+ {
1286
+ "epoch": 3.83,
1287
+ "learning_rate": 2.0115332428765267e-05,
1288
+ "loss": 0.2521,
1289
+ "step": 2090
1290
+ },
1291
+ {
1292
+ "epoch": 3.84,
1293
+ "learning_rate": 1.994572591587517e-05,
1294
+ "loss": 0.2567,
1295
+ "step": 2100
1296
+ },
1297
+ {
1298
+ "epoch": 3.86,
1299
+ "learning_rate": 1.9776119402985073e-05,
1300
+ "loss": 0.2569,
1301
+ "step": 2110
1302
+ },
1303
+ {
1304
+ "epoch": 3.88,
1305
+ "learning_rate": 1.960651289009498e-05,
1306
+ "loss": 0.2751,
1307
+ "step": 2120
1308
+ },
1309
+ {
1310
+ "epoch": 3.9,
1311
+ "learning_rate": 1.9436906377204886e-05,
1312
+ "loss": 0.2775,
1313
+ "step": 2130
1314
+ },
1315
+ {
1316
+ "epoch": 3.92,
1317
+ "learning_rate": 1.9267299864314793e-05,
1318
+ "loss": 0.2763,
1319
+ "step": 2140
1320
+ },
1321
+ {
1322
+ "epoch": 3.94,
1323
+ "learning_rate": 1.9097693351424696e-05,
1324
+ "loss": 0.2484,
1325
+ "step": 2150
1326
+ },
1327
+ {
1328
+ "epoch": 3.95,
1329
+ "learning_rate": 1.89280868385346e-05,
1330
+ "loss": 0.2656,
1331
+ "step": 2160
1332
+ },
1333
+ {
1334
+ "epoch": 3.97,
1335
+ "learning_rate": 1.8758480325644505e-05,
1336
+ "loss": 0.2511,
1337
+ "step": 2170
1338
+ },
1339
+ {
1340
+ "epoch": 3.99,
1341
+ "learning_rate": 1.858887381275441e-05,
1342
+ "loss": 0.2501,
1343
+ "step": 2180
1344
+ },
1345
+ {
1346
+ "epoch": 4.0,
1347
+ "eval_accuracy": 0.960401651955624,
1348
+ "eval_loss": 0.10579904168844223,
1349
+ "eval_runtime": 193.2913,
1350
+ "eval_samples_per_second": 63.888,
1351
+ "eval_steps_per_second": 1.997,
1352
+ "step": 2184
1353
+ },
1354
+ {
1355
+ "epoch": 4.01,
1356
+ "learning_rate": 1.8419267299864315e-05,
1357
+ "loss": 0.2779,
1358
+ "step": 2190
1359
+ },
1360
+ {
1361
+ "epoch": 4.03,
1362
+ "learning_rate": 1.824966078697422e-05,
1363
+ "loss": 0.2631,
1364
+ "step": 2200
1365
+ },
1366
+ {
1367
+ "epoch": 4.05,
1368
+ "learning_rate": 1.8080054274084128e-05,
1369
+ "loss": 0.2414,
1370
+ "step": 2210
1371
+ },
1372
+ {
1373
+ "epoch": 4.07,
1374
+ "learning_rate": 1.791044776119403e-05,
1375
+ "loss": 0.2583,
1376
+ "step": 2220
1377
+ },
1378
+ {
1379
+ "epoch": 4.08,
1380
+ "learning_rate": 1.7740841248303934e-05,
1381
+ "loss": 0.2574,
1382
+ "step": 2230
1383
+ },
1384
+ {
1385
+ "epoch": 4.1,
1386
+ "learning_rate": 1.757123473541384e-05,
1387
+ "loss": 0.2367,
1388
+ "step": 2240
1389
+ },
1390
+ {
1391
+ "epoch": 4.12,
1392
+ "learning_rate": 1.7401628222523747e-05,
1393
+ "loss": 0.2543,
1394
+ "step": 2250
1395
+ },
1396
+ {
1397
+ "epoch": 4.14,
1398
+ "learning_rate": 1.723202170963365e-05,
1399
+ "loss": 0.2456,
1400
+ "step": 2260
1401
+ },
1402
+ {
1403
+ "epoch": 4.16,
1404
+ "learning_rate": 1.7062415196743557e-05,
1405
+ "loss": 0.2262,
1406
+ "step": 2270
1407
+ },
1408
+ {
1409
+ "epoch": 4.18,
1410
+ "learning_rate": 1.689280868385346e-05,
1411
+ "loss": 0.2708,
1412
+ "step": 2280
1413
+ },
1414
+ {
1415
+ "epoch": 4.19,
1416
+ "learning_rate": 1.6723202170963363e-05,
1417
+ "loss": 0.2369,
1418
+ "step": 2290
1419
+ },
1420
+ {
1421
+ "epoch": 4.21,
1422
+ "learning_rate": 1.655359565807327e-05,
1423
+ "loss": 0.2347,
1424
+ "step": 2300
1425
+ },
1426
+ {
1427
+ "epoch": 4.23,
1428
+ "learning_rate": 1.6383989145183176e-05,
1429
+ "loss": 0.2741,
1430
+ "step": 2310
1431
+ },
1432
+ {
1433
+ "epoch": 4.25,
1434
+ "learning_rate": 1.6214382632293083e-05,
1435
+ "loss": 0.2422,
1436
+ "step": 2320
1437
+ },
1438
+ {
1439
+ "epoch": 4.27,
1440
+ "learning_rate": 1.6044776119402986e-05,
1441
+ "loss": 0.2374,
1442
+ "step": 2330
1443
+ },
1444
+ {
1445
+ "epoch": 4.29,
1446
+ "learning_rate": 1.5875169606512892e-05,
1447
+ "loss": 0.2174,
1448
+ "step": 2340
1449
+ },
1450
+ {
1451
+ "epoch": 4.3,
1452
+ "learning_rate": 1.5705563093622795e-05,
1453
+ "loss": 0.2402,
1454
+ "step": 2350
1455
+ },
1456
+ {
1457
+ "epoch": 4.32,
1458
+ "learning_rate": 1.55359565807327e-05,
1459
+ "loss": 0.243,
1460
+ "step": 2360
1461
+ },
1462
+ {
1463
+ "epoch": 4.34,
1464
+ "learning_rate": 1.5366350067842605e-05,
1465
+ "loss": 0.2101,
1466
+ "step": 2370
1467
+ },
1468
+ {
1469
+ "epoch": 4.36,
1470
+ "learning_rate": 1.5196743554952511e-05,
1471
+ "loss": 0.2542,
1472
+ "step": 2380
1473
+ },
1474
+ {
1475
+ "epoch": 4.38,
1476
+ "learning_rate": 1.5027137042062416e-05,
1477
+ "loss": 0.2415,
1478
+ "step": 2390
1479
+ },
1480
+ {
1481
+ "epoch": 4.4,
1482
+ "learning_rate": 1.485753052917232e-05,
1483
+ "loss": 0.2782,
1484
+ "step": 2400
1485
+ },
1486
+ {
1487
+ "epoch": 4.41,
1488
+ "learning_rate": 1.4687924016282226e-05,
1489
+ "loss": 0.2511,
1490
+ "step": 2410
1491
+ },
1492
+ {
1493
+ "epoch": 4.43,
1494
+ "learning_rate": 1.4518317503392132e-05,
1495
+ "loss": 0.2237,
1496
+ "step": 2420
1497
+ },
1498
+ {
1499
+ "epoch": 4.45,
1500
+ "learning_rate": 1.4348710990502037e-05,
1501
+ "loss": 0.2022,
1502
+ "step": 2430
1503
+ },
1504
+ {
1505
+ "epoch": 4.47,
1506
+ "learning_rate": 1.417910447761194e-05,
1507
+ "loss": 0.2466,
1508
+ "step": 2440
1509
+ },
1510
+ {
1511
+ "epoch": 4.49,
1512
+ "learning_rate": 1.4009497964721847e-05,
1513
+ "loss": 0.2598,
1514
+ "step": 2450
1515
+ },
1516
+ {
1517
+ "epoch": 4.5,
1518
+ "learning_rate": 1.3839891451831751e-05,
1519
+ "loss": 0.2306,
1520
+ "step": 2460
1521
+ },
1522
+ {
1523
+ "epoch": 4.52,
1524
+ "learning_rate": 1.3670284938941655e-05,
1525
+ "loss": 0.2475,
1526
+ "step": 2470
1527
+ },
1528
+ {
1529
+ "epoch": 4.54,
1530
+ "learning_rate": 1.3500678426051561e-05,
1531
+ "loss": 0.251,
1532
+ "step": 2480
1533
+ },
1534
+ {
1535
+ "epoch": 4.56,
1536
+ "learning_rate": 1.3331071913161466e-05,
1537
+ "loss": 0.2393,
1538
+ "step": 2490
1539
+ },
1540
+ {
1541
+ "epoch": 4.58,
1542
+ "learning_rate": 1.3161465400271372e-05,
1543
+ "loss": 0.2473,
1544
+ "step": 2500
1545
+ },
1546
+ {
1547
+ "epoch": 4.6,
1548
+ "learning_rate": 1.2991858887381275e-05,
1549
+ "loss": 0.2213,
1550
+ "step": 2510
1551
+ },
1552
+ {
1553
+ "epoch": 4.61,
1554
+ "learning_rate": 1.282225237449118e-05,
1555
+ "loss": 0.2219,
1556
+ "step": 2520
1557
+ },
1558
+ {
1559
+ "epoch": 4.63,
1560
+ "learning_rate": 1.2652645861601087e-05,
1561
+ "loss": 0.2249,
1562
+ "step": 2530
1563
+ },
1564
+ {
1565
+ "epoch": 4.65,
1566
+ "learning_rate": 1.2483039348710992e-05,
1567
+ "loss": 0.2294,
1568
+ "step": 2540
1569
+ },
1570
+ {
1571
+ "epoch": 4.67,
1572
+ "learning_rate": 1.2313432835820896e-05,
1573
+ "loss": 0.2228,
1574
+ "step": 2550
1575
+ },
1576
+ {
1577
+ "epoch": 4.69,
1578
+ "learning_rate": 1.2143826322930801e-05,
1579
+ "loss": 0.2439,
1580
+ "step": 2560
1581
+ },
1582
+ {
1583
+ "epoch": 4.71,
1584
+ "learning_rate": 1.1974219810040706e-05,
1585
+ "loss": 0.2505,
1586
+ "step": 2570
1587
+ },
1588
+ {
1589
+ "epoch": 4.72,
1590
+ "learning_rate": 1.180461329715061e-05,
1591
+ "loss": 0.2392,
1592
+ "step": 2580
1593
+ },
1594
+ {
1595
+ "epoch": 4.74,
1596
+ "learning_rate": 1.1635006784260516e-05,
1597
+ "loss": 0.2259,
1598
+ "step": 2590
1599
+ },
1600
+ {
1601
+ "epoch": 4.76,
1602
+ "learning_rate": 1.1465400271370422e-05,
1603
+ "loss": 0.2321,
1604
+ "step": 2600
1605
+ },
1606
+ {
1607
+ "epoch": 4.78,
1608
+ "learning_rate": 1.1295793758480327e-05,
1609
+ "loss": 0.2398,
1610
+ "step": 2610
1611
+ },
1612
+ {
1613
+ "epoch": 4.8,
1614
+ "learning_rate": 1.112618724559023e-05,
1615
+ "loss": 0.2343,
1616
+ "step": 2620
1617
+ },
1618
+ {
1619
+ "epoch": 4.82,
1620
+ "learning_rate": 1.0956580732700137e-05,
1621
+ "loss": 0.2345,
1622
+ "step": 2630
1623
+ },
1624
+ {
1625
+ "epoch": 4.83,
1626
+ "learning_rate": 1.0786974219810041e-05,
1627
+ "loss": 0.2171,
1628
+ "step": 2640
1629
+ },
1630
+ {
1631
+ "epoch": 4.85,
1632
+ "learning_rate": 1.0617367706919946e-05,
1633
+ "loss": 0.2562,
1634
+ "step": 2650
1635
+ },
1636
+ {
1637
+ "epoch": 4.87,
1638
+ "learning_rate": 1.0447761194029851e-05,
1639
+ "loss": 0.2568,
1640
+ "step": 2660
1641
+ },
1642
+ {
1643
+ "epoch": 4.89,
1644
+ "learning_rate": 1.0278154681139757e-05,
1645
+ "loss": 0.237,
1646
+ "step": 2670
1647
+ },
1648
+ {
1649
+ "epoch": 4.91,
1650
+ "learning_rate": 1.010854816824966e-05,
1651
+ "loss": 0.2186,
1652
+ "step": 2680
1653
+ },
1654
+ {
1655
+ "epoch": 4.93,
1656
+ "learning_rate": 9.938941655359567e-06,
1657
+ "loss": 0.2153,
1658
+ "step": 2690
1659
+ },
1660
+ {
1661
+ "epoch": 4.94,
1662
+ "learning_rate": 9.769335142469472e-06,
1663
+ "loss": 0.245,
1664
+ "step": 2700
1665
+ },
1666
+ {
1667
+ "epoch": 4.96,
1668
+ "learning_rate": 9.599728629579375e-06,
1669
+ "loss": 0.2082,
1670
+ "step": 2710
1671
+ },
1672
+ {
1673
+ "epoch": 4.98,
1674
+ "learning_rate": 9.430122116689281e-06,
1675
+ "loss": 0.2204,
1676
+ "step": 2720
1677
+ },
1678
+ {
1679
+ "epoch": 5.0,
1680
+ "learning_rate": 9.260515603799186e-06,
1681
+ "loss": 0.2515,
1682
+ "step": 2730
1683
+ },
1684
+ {
1685
+ "epoch": 5.0,
1686
+ "eval_accuracy": 0.9646934974491862,
1687
+ "eval_loss": 0.09361910074949265,
1688
+ "eval_runtime": 192.1061,
1689
+ "eval_samples_per_second": 64.282,
1690
+ "eval_steps_per_second": 2.009,
1691
+ "step": 2730
1692
+ },
1693
+ {
1694
+ "epoch": 5.02,
1695
+ "learning_rate": 9.090909090909091e-06,
1696
+ "loss": 0.2526,
1697
+ "step": 2740
1698
+ },
1699
+ {
1700
+ "epoch": 5.04,
1701
+ "learning_rate": 8.921302578018996e-06,
1702
+ "loss": 0.2186,
1703
+ "step": 2750
1704
+ },
1705
+ {
1706
+ "epoch": 5.05,
1707
+ "learning_rate": 8.751696065128902e-06,
1708
+ "loss": 0.1975,
1709
+ "step": 2760
1710
+ },
1711
+ {
1712
+ "epoch": 5.07,
1713
+ "learning_rate": 8.582089552238805e-06,
1714
+ "loss": 0.2112,
1715
+ "step": 2770
1716
+ },
1717
+ {
1718
+ "epoch": 5.09,
1719
+ "learning_rate": 8.412483039348712e-06,
1720
+ "loss": 0.2201,
1721
+ "step": 2780
1722
+ },
1723
+ {
1724
+ "epoch": 5.11,
1725
+ "learning_rate": 8.242876526458617e-06,
1726
+ "loss": 0.2211,
1727
+ "step": 2790
1728
+ },
1729
+ {
1730
+ "epoch": 5.13,
1731
+ "learning_rate": 8.073270013568522e-06,
1732
+ "loss": 0.219,
1733
+ "step": 2800
1734
+ },
1735
+ {
1736
+ "epoch": 5.15,
1737
+ "learning_rate": 7.903663500678426e-06,
1738
+ "loss": 0.2276,
1739
+ "step": 2810
1740
+ },
1741
+ {
1742
+ "epoch": 5.16,
1743
+ "learning_rate": 7.734056987788331e-06,
1744
+ "loss": 0.2526,
1745
+ "step": 2820
1746
+ },
1747
+ {
1748
+ "epoch": 5.18,
1749
+ "learning_rate": 7.564450474898237e-06,
1750
+ "loss": 0.2447,
1751
+ "step": 2830
1752
+ },
1753
+ {
1754
+ "epoch": 5.2,
1755
+ "learning_rate": 7.394843962008141e-06,
1756
+ "loss": 0.2137,
1757
+ "step": 2840
1758
+ },
1759
+ {
1760
+ "epoch": 5.22,
1761
+ "learning_rate": 7.225237449118047e-06,
1762
+ "loss": 0.2136,
1763
+ "step": 2850
1764
+ },
1765
+ {
1766
+ "epoch": 5.24,
1767
+ "learning_rate": 7.055630936227951e-06,
1768
+ "loss": 0.2202,
1769
+ "step": 2860
1770
+ },
1771
+ {
1772
+ "epoch": 5.26,
1773
+ "learning_rate": 6.886024423337857e-06,
1774
+ "loss": 0.2092,
1775
+ "step": 2870
1776
+ },
1777
+ {
1778
+ "epoch": 5.27,
1779
+ "learning_rate": 6.716417910447762e-06,
1780
+ "loss": 0.2123,
1781
+ "step": 2880
1782
+ },
1783
+ {
1784
+ "epoch": 5.29,
1785
+ "learning_rate": 6.546811397557666e-06,
1786
+ "loss": 0.2178,
1787
+ "step": 2890
1788
+ },
1789
+ {
1790
+ "epoch": 5.31,
1791
+ "learning_rate": 6.377204884667571e-06,
1792
+ "loss": 0.2256,
1793
+ "step": 2900
1794
+ },
1795
+ {
1796
+ "epoch": 5.33,
1797
+ "learning_rate": 6.207598371777477e-06,
1798
+ "loss": 0.2012,
1799
+ "step": 2910
1800
+ },
1801
+ {
1802
+ "epoch": 5.35,
1803
+ "learning_rate": 6.037991858887382e-06,
1804
+ "loss": 0.2207,
1805
+ "step": 2920
1806
+ },
1807
+ {
1808
+ "epoch": 5.37,
1809
+ "learning_rate": 5.8683853459972865e-06,
1810
+ "loss": 0.1934,
1811
+ "step": 2930
1812
+ },
1813
+ {
1814
+ "epoch": 5.38,
1815
+ "learning_rate": 5.698778833107191e-06,
1816
+ "loss": 0.2171,
1817
+ "step": 2940
1818
+ },
1819
+ {
1820
+ "epoch": 5.4,
1821
+ "learning_rate": 5.529172320217096e-06,
1822
+ "loss": 0.2466,
1823
+ "step": 2950
1824
+ },
1825
+ {
1826
+ "epoch": 5.42,
1827
+ "learning_rate": 5.359565807327002e-06,
1828
+ "loss": 0.2171,
1829
+ "step": 2960
1830
+ },
1831
+ {
1832
+ "epoch": 5.44,
1833
+ "learning_rate": 5.189959294436907e-06,
1834
+ "loss": 0.2168,
1835
+ "step": 2970
1836
+ },
1837
+ {
1838
+ "epoch": 5.46,
1839
+ "learning_rate": 5.020352781546811e-06,
1840
+ "loss": 0.2126,
1841
+ "step": 2980
1842
+ },
1843
+ {
1844
+ "epoch": 5.48,
1845
+ "learning_rate": 4.850746268656717e-06,
1846
+ "loss": 0.2281,
1847
+ "step": 2990
1848
+ },
1849
+ {
1850
+ "epoch": 5.49,
1851
+ "learning_rate": 4.681139755766622e-06,
1852
+ "loss": 0.2291,
1853
+ "step": 3000
1854
+ },
1855
+ {
1856
+ "epoch": 5.51,
1857
+ "learning_rate": 4.511533242876527e-06,
1858
+ "loss": 0.2216,
1859
+ "step": 3010
1860
+ },
1861
+ {
1862
+ "epoch": 5.53,
1863
+ "learning_rate": 4.3419267299864315e-06,
1864
+ "loss": 0.198,
1865
+ "step": 3020
1866
+ },
1867
+ {
1868
+ "epoch": 5.55,
1869
+ "learning_rate": 4.172320217096336e-06,
1870
+ "loss": 0.2399,
1871
+ "step": 3030
1872
+ },
1873
+ {
1874
+ "epoch": 5.57,
1875
+ "learning_rate": 4.002713704206242e-06,
1876
+ "loss": 0.2471,
1877
+ "step": 3040
1878
+ },
1879
+ {
1880
+ "epoch": 5.59,
1881
+ "learning_rate": 3.833107191316147e-06,
1882
+ "loss": 0.2129,
1883
+ "step": 3050
1884
+ },
1885
+ {
1886
+ "epoch": 5.6,
1887
+ "learning_rate": 3.6635006784260515e-06,
1888
+ "loss": 0.2262,
1889
+ "step": 3060
1890
+ },
1891
+ {
1892
+ "epoch": 5.62,
1893
+ "learning_rate": 3.4938941655359567e-06,
1894
+ "loss": 0.2002,
1895
+ "step": 3070
1896
+ },
1897
+ {
1898
+ "epoch": 5.64,
1899
+ "learning_rate": 3.324287652645862e-06,
1900
+ "loss": 0.1986,
1901
+ "step": 3080
1902
+ },
1903
+ {
1904
+ "epoch": 5.66,
1905
+ "learning_rate": 3.154681139755767e-06,
1906
+ "loss": 0.2048,
1907
+ "step": 3090
1908
+ },
1909
+ {
1910
+ "epoch": 5.68,
1911
+ "learning_rate": 2.9850746268656716e-06,
1912
+ "loss": 0.2116,
1913
+ "step": 3100
1914
+ },
1915
+ {
1916
+ "epoch": 5.7,
1917
+ "learning_rate": 2.815468113975577e-06,
1918
+ "loss": 0.1974,
1919
+ "step": 3110
1920
+ },
1921
+ {
1922
+ "epoch": 5.71,
1923
+ "learning_rate": 2.645861601085482e-06,
1924
+ "loss": 0.2218,
1925
+ "step": 3120
1926
+ },
1927
+ {
1928
+ "epoch": 5.73,
1929
+ "learning_rate": 2.476255088195387e-06,
1930
+ "loss": 0.2084,
1931
+ "step": 3130
1932
+ },
1933
+ {
1934
+ "epoch": 5.75,
1935
+ "learning_rate": 2.3066485753052916e-06,
1936
+ "loss": 0.2171,
1937
+ "step": 3140
1938
+ },
1939
+ {
1940
+ "epoch": 5.77,
1941
+ "learning_rate": 2.137042062415197e-06,
1942
+ "loss": 0.2172,
1943
+ "step": 3150
1944
+ },
1945
+ {
1946
+ "epoch": 5.79,
1947
+ "learning_rate": 1.967435549525102e-06,
1948
+ "loss": 0.2268,
1949
+ "step": 3160
1950
+ },
1951
+ {
1952
+ "epoch": 5.8,
1953
+ "learning_rate": 1.797829036635007e-06,
1954
+ "loss": 0.2147,
1955
+ "step": 3170
1956
+ },
1957
+ {
1958
+ "epoch": 5.82,
1959
+ "learning_rate": 1.6282225237449117e-06,
1960
+ "loss": 0.2129,
1961
+ "step": 3180
1962
+ },
1963
+ {
1964
+ "epoch": 5.84,
1965
+ "learning_rate": 1.458616010854817e-06,
1966
+ "loss": 0.2081,
1967
+ "step": 3190
1968
+ },
1969
+ {
1970
+ "epoch": 5.86,
1971
+ "learning_rate": 1.289009497964722e-06,
1972
+ "loss": 0.224,
1973
+ "step": 3200
1974
+ },
1975
+ {
1976
+ "epoch": 5.88,
1977
+ "learning_rate": 1.119402985074627e-06,
1978
+ "loss": 0.2074,
1979
+ "step": 3210
1980
+ },
1981
+ {
1982
+ "epoch": 5.9,
1983
+ "learning_rate": 9.49796472184532e-07,
1984
+ "loss": 0.2075,
1985
+ "step": 3220
1986
+ },
1987
+ {
1988
+ "epoch": 5.91,
1989
+ "learning_rate": 7.80189959294437e-07,
1990
+ "loss": 0.1981,
1991
+ "step": 3230
1992
+ },
1993
+ {
1994
+ "epoch": 5.93,
1995
+ "learning_rate": 6.10583446404342e-07,
1996
+ "loss": 0.2124,
1997
+ "step": 3240
1998
+ },
1999
+ {
2000
+ "epoch": 5.95,
2001
+ "learning_rate": 4.4097693351424695e-07,
2002
+ "loss": 0.2035,
2003
+ "step": 3250
2004
+ },
2005
+ {
2006
+ "epoch": 5.97,
2007
+ "learning_rate": 2.7137042062415197e-07,
2008
+ "loss": 0.2317,
2009
+ "step": 3260
2010
+ },
2011
+ {
2012
+ "epoch": 5.99,
2013
+ "learning_rate": 1.0176390773405698e-07,
2014
+ "loss": 0.2311,
2015
+ "step": 3270
2016
+ },
2017
+ {
2018
+ "epoch": 6.0,
2019
+ "eval_accuracy": 0.970766863713661,
2020
+ "eval_loss": 0.07644093036651611,
2021
+ "eval_runtime": 190.1522,
2022
+ "eval_samples_per_second": 64.943,
2023
+ "eval_steps_per_second": 2.03,
2024
+ "step": 3276
2025
+ },
2026
+ {
2027
+ "epoch": 6.0,
2028
+ "step": 3276,
2029
+ "total_flos": 1.3656980870969426e+19,
2030
+ "train_loss": 0.3689301585976457,
2031
+ "train_runtime": 12770.7006,
2032
+ "train_samples_per_second": 32.875,
2033
+ "train_steps_per_second": 0.257
2034
+ }
2035
+ ],
2036
+ "max_steps": 3276,
2037
+ "num_train_epochs": 6,
2038
+ "total_flos": 1.3656980870969426e+19,
2039
+ "trial_name": null,
2040
+ "trial_params": null
2041
+ }