dkqjrm commited on
Commit
a85d0a6
1 Parent(s): 41cd56a

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +7 -0
  2. train_results.json +7 -0
  3. trainer_state.json +1147 -0
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 1.7262601273691551,
4
+ "train_runtime": 4126.2043,
5
+ "train_samples_per_second": 36.208,
6
+ "train_steps_per_second": 4.537
7
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 60.0,
3
+ "train_loss": 1.7262601273691551,
4
+ "train_runtime": 4126.2043,
5
+ "train_samples_per_second": 36.208,
6
+ "train_steps_per_second": 4.537
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,1147 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 60.0,
5
+ "global_step": 18720,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "eval_accuracy": 0.4729241877256318,
13
+ "eval_loss": 0.3570820987224579,
14
+ "eval_runtime": 4.3773,
15
+ "eval_samples_per_second": 63.281,
16
+ "eval_steps_per_second": 7.996,
17
+ "step": 312
18
+ },
19
+ {
20
+ "best_epoch": 0,
21
+ "best_eval_accuracy": 0.4729241877256318,
22
+ "epoch": 1.0,
23
+ "step": 312
24
+ },
25
+ {
26
+ "epoch": 1.6,
27
+ "learning_rate": 0.048664529914529915,
28
+ "loss": 6.8951,
29
+ "step": 500
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.5270758122743683,
34
+ "eval_loss": 1.4464904069900513,
35
+ "eval_runtime": 4.4679,
36
+ "eval_samples_per_second": 61.998,
37
+ "eval_steps_per_second": 7.834,
38
+ "step": 624
39
+ },
40
+ {
41
+ "best_epoch": 1,
42
+ "best_eval_accuracy": 0.5270758122743683,
43
+ "epoch": 2.0,
44
+ "step": 624
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.4729241877256318,
49
+ "eval_loss": 1.4737317562103271,
50
+ "eval_runtime": 4.4886,
51
+ "eval_samples_per_second": 61.712,
52
+ "eval_steps_per_second": 7.798,
53
+ "step": 936
54
+ },
55
+ {
56
+ "best_epoch": 1,
57
+ "best_eval_accuracy": 0.5270758122743683,
58
+ "epoch": 3.0,
59
+ "step": 936
60
+ },
61
+ {
62
+ "epoch": 3.21,
63
+ "learning_rate": 0.04732905982905983,
64
+ "loss": 4.4457,
65
+ "step": 1000
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.5270758122743683,
70
+ "eval_loss": 0.4591030478477478,
71
+ "eval_runtime": 4.4956,
72
+ "eval_samples_per_second": 61.615,
73
+ "eval_steps_per_second": 7.785,
74
+ "step": 1248
75
+ },
76
+ {
77
+ "best_epoch": 1,
78
+ "best_eval_accuracy": 0.5270758122743683,
79
+ "epoch": 4.0,
80
+ "step": 1248
81
+ },
82
+ {
83
+ "epoch": 4.81,
84
+ "learning_rate": 0.04599358974358975,
85
+ "loss": 3.2957,
86
+ "step": 1500
87
+ },
88
+ {
89
+ "epoch": 5.0,
90
+ "eval_accuracy": 0.4729241877256318,
91
+ "eval_loss": 0.40218400955200195,
92
+ "eval_runtime": 4.4894,
93
+ "eval_samples_per_second": 61.7,
94
+ "eval_steps_per_second": 7.796,
95
+ "step": 1560
96
+ },
97
+ {
98
+ "best_epoch": 1,
99
+ "best_eval_accuracy": 0.5270758122743683,
100
+ "epoch": 5.0,
101
+ "step": 1560
102
+ },
103
+ {
104
+ "epoch": 6.0,
105
+ "eval_accuracy": 0.4729241877256318,
106
+ "eval_loss": 1.2355494499206543,
107
+ "eval_runtime": 4.4719,
108
+ "eval_samples_per_second": 61.942,
109
+ "eval_steps_per_second": 7.827,
110
+ "step": 1872
111
+ },
112
+ {
113
+ "best_epoch": 1,
114
+ "best_eval_accuracy": 0.5270758122743683,
115
+ "epoch": 6.0,
116
+ "step": 1872
117
+ },
118
+ {
119
+ "epoch": 6.41,
120
+ "learning_rate": 0.044658119658119666,
121
+ "loss": 3.7646,
122
+ "step": 2000
123
+ },
124
+ {
125
+ "epoch": 7.0,
126
+ "eval_accuracy": 0.4729241877256318,
127
+ "eval_loss": 9.376609802246094,
128
+ "eval_runtime": 4.487,
129
+ "eval_samples_per_second": 61.733,
130
+ "eval_steps_per_second": 7.8,
131
+ "step": 2184
132
+ },
133
+ {
134
+ "best_epoch": 1,
135
+ "best_eval_accuracy": 0.5270758122743683,
136
+ "epoch": 7.0,
137
+ "step": 2184
138
+ },
139
+ {
140
+ "epoch": 8.0,
141
+ "eval_accuracy": 0.5270758122743683,
142
+ "eval_loss": 0.3763505816459656,
143
+ "eval_runtime": 4.4865,
144
+ "eval_samples_per_second": 61.741,
145
+ "eval_steps_per_second": 7.801,
146
+ "step": 2496
147
+ },
148
+ {
149
+ "best_epoch": 1,
150
+ "best_eval_accuracy": 0.5270758122743683,
151
+ "epoch": 8.0,
152
+ "step": 2496
153
+ },
154
+ {
155
+ "epoch": 8.01,
156
+ "learning_rate": 0.04332264957264958,
157
+ "loss": 3.3825,
158
+ "step": 2500
159
+ },
160
+ {
161
+ "epoch": 9.0,
162
+ "eval_accuracy": 0.5270758122743683,
163
+ "eval_loss": 4.616496562957764,
164
+ "eval_runtime": 4.4867,
165
+ "eval_samples_per_second": 61.738,
166
+ "eval_steps_per_second": 7.801,
167
+ "step": 2808
168
+ },
169
+ {
170
+ "best_epoch": 1,
171
+ "best_eval_accuracy": 0.5270758122743683,
172
+ "epoch": 9.0,
173
+ "step": 2808
174
+ },
175
+ {
176
+ "epoch": 9.62,
177
+ "learning_rate": 0.04198717948717949,
178
+ "loss": 2.7848,
179
+ "step": 3000
180
+ },
181
+ {
182
+ "epoch": 10.0,
183
+ "eval_accuracy": 0.5270758122743683,
184
+ "eval_loss": 3.261960506439209,
185
+ "eval_runtime": 4.486,
186
+ "eval_samples_per_second": 61.748,
187
+ "eval_steps_per_second": 7.802,
188
+ "step": 3120
189
+ },
190
+ {
191
+ "best_epoch": 1,
192
+ "best_eval_accuracy": 0.5270758122743683,
193
+ "epoch": 10.0,
194
+ "step": 3120
195
+ },
196
+ {
197
+ "epoch": 11.0,
198
+ "eval_accuracy": 0.5270758122743683,
199
+ "eval_loss": 2.300961971282959,
200
+ "eval_runtime": 4.482,
201
+ "eval_samples_per_second": 61.803,
202
+ "eval_steps_per_second": 7.809,
203
+ "step": 3432
204
+ },
205
+ {
206
+ "best_epoch": 1,
207
+ "best_eval_accuracy": 0.5270758122743683,
208
+ "epoch": 11.0,
209
+ "step": 3432
210
+ },
211
+ {
212
+ "epoch": 11.22,
213
+ "learning_rate": 0.0406517094017094,
214
+ "loss": 2.3837,
215
+ "step": 3500
216
+ },
217
+ {
218
+ "epoch": 12.0,
219
+ "eval_accuracy": 0.5270758122743683,
220
+ "eval_loss": 0.34843170642852783,
221
+ "eval_runtime": 4.4826,
222
+ "eval_samples_per_second": 61.794,
223
+ "eval_steps_per_second": 7.808,
224
+ "step": 3744
225
+ },
226
+ {
227
+ "best_epoch": 1,
228
+ "best_eval_accuracy": 0.5270758122743683,
229
+ "epoch": 12.0,
230
+ "step": 3744
231
+ },
232
+ {
233
+ "epoch": 12.82,
234
+ "learning_rate": 0.039316239316239315,
235
+ "loss": 2.1666,
236
+ "step": 4000
237
+ },
238
+ {
239
+ "epoch": 13.0,
240
+ "eval_accuracy": 0.5270758122743683,
241
+ "eval_loss": 0.43984633684158325,
242
+ "eval_runtime": 4.4884,
243
+ "eval_samples_per_second": 61.714,
244
+ "eval_steps_per_second": 7.798,
245
+ "step": 4056
246
+ },
247
+ {
248
+ "best_epoch": 1,
249
+ "best_eval_accuracy": 0.5270758122743683,
250
+ "epoch": 13.0,
251
+ "step": 4056
252
+ },
253
+ {
254
+ "epoch": 14.0,
255
+ "eval_accuracy": 0.4729241877256318,
256
+ "eval_loss": 1.4702966213226318,
257
+ "eval_runtime": 4.4859,
258
+ "eval_samples_per_second": 61.749,
259
+ "eval_steps_per_second": 7.802,
260
+ "step": 4368
261
+ },
262
+ {
263
+ "best_epoch": 1,
264
+ "best_eval_accuracy": 0.5270758122743683,
265
+ "epoch": 14.0,
266
+ "step": 4368
267
+ },
268
+ {
269
+ "epoch": 14.42,
270
+ "learning_rate": 0.037980769230769235,
271
+ "loss": 2.107,
272
+ "step": 4500
273
+ },
274
+ {
275
+ "epoch": 15.0,
276
+ "eval_accuracy": 0.5270758122743683,
277
+ "eval_loss": 1.0550079345703125,
278
+ "eval_runtime": 4.4897,
279
+ "eval_samples_per_second": 61.697,
280
+ "eval_steps_per_second": 7.796,
281
+ "step": 4680
282
+ },
283
+ {
284
+ "best_epoch": 1,
285
+ "best_eval_accuracy": 0.5270758122743683,
286
+ "epoch": 15.0,
287
+ "step": 4680
288
+ },
289
+ {
290
+ "epoch": 16.0,
291
+ "eval_accuracy": 0.4729241877256318,
292
+ "eval_loss": 1.000760793685913,
293
+ "eval_runtime": 4.4924,
294
+ "eval_samples_per_second": 61.659,
295
+ "eval_steps_per_second": 7.791,
296
+ "step": 4992
297
+ },
298
+ {
299
+ "best_epoch": 1,
300
+ "best_eval_accuracy": 0.5270758122743683,
301
+ "epoch": 16.0,
302
+ "step": 4992
303
+ },
304
+ {
305
+ "epoch": 16.03,
306
+ "learning_rate": 0.03664529914529915,
307
+ "loss": 2.161,
308
+ "step": 5000
309
+ },
310
+ {
311
+ "epoch": 17.0,
312
+ "eval_accuracy": 0.4729241877256318,
313
+ "eval_loss": 0.7809963822364807,
314
+ "eval_runtime": 4.4932,
315
+ "eval_samples_per_second": 61.649,
316
+ "eval_steps_per_second": 7.79,
317
+ "step": 5304
318
+ },
319
+ {
320
+ "best_epoch": 1,
321
+ "best_eval_accuracy": 0.5270758122743683,
322
+ "epoch": 17.0,
323
+ "step": 5304
324
+ },
325
+ {
326
+ "epoch": 17.63,
327
+ "learning_rate": 0.035309829059829066,
328
+ "loss": 1.927,
329
+ "step": 5500
330
+ },
331
+ {
332
+ "epoch": 18.0,
333
+ "eval_accuracy": 0.4729241877256318,
334
+ "eval_loss": 0.84182208776474,
335
+ "eval_runtime": 4.4906,
336
+ "eval_samples_per_second": 61.684,
337
+ "eval_steps_per_second": 7.794,
338
+ "step": 5616
339
+ },
340
+ {
341
+ "best_epoch": 1,
342
+ "best_eval_accuracy": 0.5270758122743683,
343
+ "epoch": 18.0,
344
+ "step": 5616
345
+ },
346
+ {
347
+ "epoch": 19.0,
348
+ "eval_accuracy": 0.4729241877256318,
349
+ "eval_loss": 0.5165618062019348,
350
+ "eval_runtime": 4.4892,
351
+ "eval_samples_per_second": 61.703,
352
+ "eval_steps_per_second": 7.796,
353
+ "step": 5928
354
+ },
355
+ {
356
+ "best_epoch": 1,
357
+ "best_eval_accuracy": 0.5270758122743683,
358
+ "epoch": 19.0,
359
+ "step": 5928
360
+ },
361
+ {
362
+ "epoch": 19.23,
363
+ "learning_rate": 0.03397435897435898,
364
+ "loss": 1.8072,
365
+ "step": 6000
366
+ },
367
+ {
368
+ "epoch": 20.0,
369
+ "eval_accuracy": 0.5270758122743683,
370
+ "eval_loss": 0.34929215908050537,
371
+ "eval_runtime": 4.4926,
372
+ "eval_samples_per_second": 61.657,
373
+ "eval_steps_per_second": 7.791,
374
+ "step": 6240
375
+ },
376
+ {
377
+ "best_epoch": 1,
378
+ "best_eval_accuracy": 0.5270758122743683,
379
+ "epoch": 20.0,
380
+ "step": 6240
381
+ },
382
+ {
383
+ "epoch": 20.83,
384
+ "learning_rate": 0.03263888888888889,
385
+ "loss": 1.7187,
386
+ "step": 6500
387
+ },
388
+ {
389
+ "epoch": 21.0,
390
+ "eval_accuracy": 0.5270758122743683,
391
+ "eval_loss": 1.4220978021621704,
392
+ "eval_runtime": 4.4942,
393
+ "eval_samples_per_second": 61.636,
394
+ "eval_steps_per_second": 7.788,
395
+ "step": 6552
396
+ },
397
+ {
398
+ "best_epoch": 1,
399
+ "best_eval_accuracy": 0.5270758122743683,
400
+ "epoch": 21.0,
401
+ "step": 6552
402
+ },
403
+ {
404
+ "epoch": 22.0,
405
+ "eval_accuracy": 0.5270758122743683,
406
+ "eval_loss": 2.9355978965759277,
407
+ "eval_runtime": 4.4848,
408
+ "eval_samples_per_second": 61.764,
409
+ "eval_steps_per_second": 7.804,
410
+ "step": 6864
411
+ },
412
+ {
413
+ "best_epoch": 1,
414
+ "best_eval_accuracy": 0.5270758122743683,
415
+ "epoch": 22.0,
416
+ "step": 6864
417
+ },
418
+ {
419
+ "epoch": 22.44,
420
+ "learning_rate": 0.0313034188034188,
421
+ "loss": 2.1333,
422
+ "step": 7000
423
+ },
424
+ {
425
+ "epoch": 23.0,
426
+ "eval_accuracy": 0.4729241877256318,
427
+ "eval_loss": 0.8474471569061279,
428
+ "eval_runtime": 4.4899,
429
+ "eval_samples_per_second": 61.693,
430
+ "eval_steps_per_second": 7.795,
431
+ "step": 7176
432
+ },
433
+ {
434
+ "best_epoch": 1,
435
+ "best_eval_accuracy": 0.5270758122743683,
436
+ "epoch": 23.0,
437
+ "step": 7176
438
+ },
439
+ {
440
+ "epoch": 24.0,
441
+ "eval_accuracy": 0.4729241877256318,
442
+ "eval_loss": 5.1220269203186035,
443
+ "eval_runtime": 4.4961,
444
+ "eval_samples_per_second": 61.609,
445
+ "eval_steps_per_second": 7.785,
446
+ "step": 7488
447
+ },
448
+ {
449
+ "best_epoch": 1,
450
+ "best_eval_accuracy": 0.5270758122743683,
451
+ "epoch": 24.0,
452
+ "step": 7488
453
+ },
454
+ {
455
+ "epoch": 24.04,
456
+ "learning_rate": 0.02996794871794872,
457
+ "loss": 2.0017,
458
+ "step": 7500
459
+ },
460
+ {
461
+ "epoch": 25.0,
462
+ "eval_accuracy": 0.4729241877256318,
463
+ "eval_loss": 0.3589232265949249,
464
+ "eval_runtime": 4.4864,
465
+ "eval_samples_per_second": 61.742,
466
+ "eval_steps_per_second": 7.801,
467
+ "step": 7800
468
+ },
469
+ {
470
+ "best_epoch": 1,
471
+ "best_eval_accuracy": 0.5270758122743683,
472
+ "epoch": 25.0,
473
+ "step": 7800
474
+ },
475
+ {
476
+ "epoch": 25.64,
477
+ "learning_rate": 0.02863247863247863,
478
+ "loss": 1.6518,
479
+ "step": 8000
480
+ },
481
+ {
482
+ "epoch": 26.0,
483
+ "eval_accuracy": 0.4729241877256318,
484
+ "eval_loss": 0.39960214495658875,
485
+ "eval_runtime": 4.4875,
486
+ "eval_samples_per_second": 61.726,
487
+ "eval_steps_per_second": 7.799,
488
+ "step": 8112
489
+ },
490
+ {
491
+ "best_epoch": 1,
492
+ "best_eval_accuracy": 0.5270758122743683,
493
+ "epoch": 26.0,
494
+ "step": 8112
495
+ },
496
+ {
497
+ "epoch": 27.0,
498
+ "eval_accuracy": 0.5270758122743683,
499
+ "eval_loss": 0.535088062286377,
500
+ "eval_runtime": 4.4855,
501
+ "eval_samples_per_second": 61.755,
502
+ "eval_steps_per_second": 7.803,
503
+ "step": 8424
504
+ },
505
+ {
506
+ "best_epoch": 1,
507
+ "best_eval_accuracy": 0.5270758122743683,
508
+ "epoch": 27.0,
509
+ "step": 8424
510
+ },
511
+ {
512
+ "epoch": 27.24,
513
+ "learning_rate": 0.027297008547008547,
514
+ "loss": 1.5012,
515
+ "step": 8500
516
+ },
517
+ {
518
+ "epoch": 28.0,
519
+ "eval_accuracy": 0.5270758122743683,
520
+ "eval_loss": 0.3478943407535553,
521
+ "eval_runtime": 4.4915,
522
+ "eval_samples_per_second": 61.672,
523
+ "eval_steps_per_second": 7.792,
524
+ "step": 8736
525
+ },
526
+ {
527
+ "best_epoch": 1,
528
+ "best_eval_accuracy": 0.5270758122743683,
529
+ "epoch": 28.0,
530
+ "step": 8736
531
+ },
532
+ {
533
+ "epoch": 28.85,
534
+ "learning_rate": 0.025961538461538466,
535
+ "loss": 1.4194,
536
+ "step": 9000
537
+ },
538
+ {
539
+ "epoch": 29.0,
540
+ "eval_accuracy": 0.5270758122743683,
541
+ "eval_loss": 0.3492168188095093,
542
+ "eval_runtime": 4.4867,
543
+ "eval_samples_per_second": 61.738,
544
+ "eval_steps_per_second": 7.801,
545
+ "step": 9048
546
+ },
547
+ {
548
+ "best_epoch": 1,
549
+ "best_eval_accuracy": 0.5270758122743683,
550
+ "epoch": 29.0,
551
+ "step": 9048
552
+ },
553
+ {
554
+ "epoch": 30.0,
555
+ "eval_accuracy": 0.5270758122743683,
556
+ "eval_loss": 0.6942079663276672,
557
+ "eval_runtime": 4.4877,
558
+ "eval_samples_per_second": 61.725,
559
+ "eval_steps_per_second": 7.799,
560
+ "step": 9360
561
+ },
562
+ {
563
+ "best_epoch": 1,
564
+ "best_eval_accuracy": 0.5270758122743683,
565
+ "epoch": 30.0,
566
+ "step": 9360
567
+ },
568
+ {
569
+ "epoch": 30.45,
570
+ "learning_rate": 0.02462606837606838,
571
+ "loss": 1.3048,
572
+ "step": 9500
573
+ },
574
+ {
575
+ "epoch": 31.0,
576
+ "eval_accuracy": 0.5270758122743683,
577
+ "eval_loss": 0.5088778734207153,
578
+ "eval_runtime": 4.4883,
579
+ "eval_samples_per_second": 61.716,
580
+ "eval_steps_per_second": 7.798,
581
+ "step": 9672
582
+ },
583
+ {
584
+ "best_epoch": 1,
585
+ "best_eval_accuracy": 0.5270758122743683,
586
+ "epoch": 31.0,
587
+ "step": 9672
588
+ },
589
+ {
590
+ "epoch": 32.0,
591
+ "eval_accuracy": 0.5270758122743683,
592
+ "eval_loss": 1.1509357690811157,
593
+ "eval_runtime": 4.4831,
594
+ "eval_samples_per_second": 61.787,
595
+ "eval_steps_per_second": 7.807,
596
+ "step": 9984
597
+ },
598
+ {
599
+ "best_epoch": 1,
600
+ "best_eval_accuracy": 0.5270758122743683,
601
+ "epoch": 32.0,
602
+ "step": 9984
603
+ },
604
+ {
605
+ "epoch": 32.05,
606
+ "learning_rate": 0.02329059829059829,
607
+ "loss": 1.2972,
608
+ "step": 10000
609
+ },
610
+ {
611
+ "epoch": 33.0,
612
+ "eval_accuracy": 0.4729241877256318,
613
+ "eval_loss": 1.1207164525985718,
614
+ "eval_runtime": 4.4926,
615
+ "eval_samples_per_second": 61.657,
616
+ "eval_steps_per_second": 7.791,
617
+ "step": 10296
618
+ },
619
+ {
620
+ "best_epoch": 1,
621
+ "best_eval_accuracy": 0.5270758122743683,
622
+ "epoch": 33.0,
623
+ "step": 10296
624
+ },
625
+ {
626
+ "epoch": 33.65,
627
+ "learning_rate": 0.021955128205128207,
628
+ "loss": 1.1774,
629
+ "step": 10500
630
+ },
631
+ {
632
+ "epoch": 34.0,
633
+ "eval_accuracy": 0.4729241877256318,
634
+ "eval_loss": 1.4442700147628784,
635
+ "eval_runtime": 4.4967,
636
+ "eval_samples_per_second": 61.601,
637
+ "eval_steps_per_second": 7.783,
638
+ "step": 10608
639
+ },
640
+ {
641
+ "best_epoch": 1,
642
+ "best_eval_accuracy": 0.5270758122743683,
643
+ "epoch": 34.0,
644
+ "step": 10608
645
+ },
646
+ {
647
+ "epoch": 35.0,
648
+ "eval_accuracy": 0.4729241877256318,
649
+ "eval_loss": 2.3752989768981934,
650
+ "eval_runtime": 4.4944,
651
+ "eval_samples_per_second": 61.633,
652
+ "eval_steps_per_second": 7.788,
653
+ "step": 10920
654
+ },
655
+ {
656
+ "best_epoch": 1,
657
+ "best_eval_accuracy": 0.5270758122743683,
658
+ "epoch": 35.0,
659
+ "step": 10920
660
+ },
661
+ {
662
+ "epoch": 35.26,
663
+ "learning_rate": 0.02061965811965812,
664
+ "loss": 1.492,
665
+ "step": 11000
666
+ },
667
+ {
668
+ "epoch": 36.0,
669
+ "eval_accuracy": 0.4729241877256318,
670
+ "eval_loss": 0.36219045519828796,
671
+ "eval_runtime": 4.4975,
672
+ "eval_samples_per_second": 61.59,
673
+ "eval_steps_per_second": 7.782,
674
+ "step": 11232
675
+ },
676
+ {
677
+ "best_epoch": 1,
678
+ "best_eval_accuracy": 0.5270758122743683,
679
+ "epoch": 36.0,
680
+ "step": 11232
681
+ },
682
+ {
683
+ "epoch": 36.86,
684
+ "learning_rate": 0.019284188034188035,
685
+ "loss": 1.3617,
686
+ "step": 11500
687
+ },
688
+ {
689
+ "epoch": 37.0,
690
+ "eval_accuracy": 0.5270758122743683,
691
+ "eval_loss": 1.356360673904419,
692
+ "eval_runtime": 4.4982,
693
+ "eval_samples_per_second": 61.58,
694
+ "eval_steps_per_second": 7.781,
695
+ "step": 11544
696
+ },
697
+ {
698
+ "best_epoch": 1,
699
+ "best_eval_accuracy": 0.5270758122743683,
700
+ "epoch": 37.0,
701
+ "step": 11544
702
+ },
703
+ {
704
+ "epoch": 38.0,
705
+ "eval_accuracy": 0.5270758122743683,
706
+ "eval_loss": 0.6943920254707336,
707
+ "eval_runtime": 4.4948,
708
+ "eval_samples_per_second": 61.627,
709
+ "eval_steps_per_second": 7.787,
710
+ "step": 11856
711
+ },
712
+ {
713
+ "best_epoch": 1,
714
+ "best_eval_accuracy": 0.5270758122743683,
715
+ "epoch": 38.0,
716
+ "step": 11856
717
+ },
718
+ {
719
+ "epoch": 38.46,
720
+ "learning_rate": 0.01794871794871795,
721
+ "loss": 1.4582,
722
+ "step": 12000
723
+ },
724
+ {
725
+ "epoch": 39.0,
726
+ "eval_accuracy": 0.4729241877256318,
727
+ "eval_loss": 0.5509728193283081,
728
+ "eval_runtime": 4.502,
729
+ "eval_samples_per_second": 61.528,
730
+ "eval_steps_per_second": 7.774,
731
+ "step": 12168
732
+ },
733
+ {
734
+ "best_epoch": 1,
735
+ "best_eval_accuracy": 0.5270758122743683,
736
+ "epoch": 39.0,
737
+ "step": 12168
738
+ },
739
+ {
740
+ "epoch": 40.0,
741
+ "eval_accuracy": 0.5270758122743683,
742
+ "eval_loss": 0.3659651577472687,
743
+ "eval_runtime": 4.4965,
744
+ "eval_samples_per_second": 61.603,
745
+ "eval_steps_per_second": 7.784,
746
+ "step": 12480
747
+ },
748
+ {
749
+ "best_epoch": 1,
750
+ "best_eval_accuracy": 0.5270758122743683,
751
+ "epoch": 40.0,
752
+ "step": 12480
753
+ },
754
+ {
755
+ "epoch": 40.06,
756
+ "learning_rate": 0.016613247863247863,
757
+ "loss": 1.0904,
758
+ "step": 12500
759
+ },
760
+ {
761
+ "epoch": 41.0,
762
+ "eval_accuracy": 0.5270758122743683,
763
+ "eval_loss": 0.3479963541030884,
764
+ "eval_runtime": 4.4948,
765
+ "eval_samples_per_second": 61.627,
766
+ "eval_steps_per_second": 7.787,
767
+ "step": 12792
768
+ },
769
+ {
770
+ "best_epoch": 1,
771
+ "best_eval_accuracy": 0.5270758122743683,
772
+ "epoch": 41.0,
773
+ "step": 12792
774
+ },
775
+ {
776
+ "epoch": 41.67,
777
+ "learning_rate": 0.015277777777777779,
778
+ "loss": 0.9409,
779
+ "step": 13000
780
+ },
781
+ {
782
+ "epoch": 42.0,
783
+ "eval_accuracy": 0.5270758122743683,
784
+ "eval_loss": 0.48353341221809387,
785
+ "eval_runtime": 4.4928,
786
+ "eval_samples_per_second": 61.654,
787
+ "eval_steps_per_second": 7.79,
788
+ "step": 13104
789
+ },
790
+ {
791
+ "best_epoch": 1,
792
+ "best_eval_accuracy": 0.5270758122743683,
793
+ "epoch": 42.0,
794
+ "step": 13104
795
+ },
796
+ {
797
+ "epoch": 43.0,
798
+ "eval_accuracy": 0.4729241877256318,
799
+ "eval_loss": 0.6226072311401367,
800
+ "eval_runtime": 4.4898,
801
+ "eval_samples_per_second": 61.696,
802
+ "eval_steps_per_second": 7.795,
803
+ "step": 13416
804
+ },
805
+ {
806
+ "best_epoch": 1,
807
+ "best_eval_accuracy": 0.5270758122743683,
808
+ "epoch": 43.0,
809
+ "step": 13416
810
+ },
811
+ {
812
+ "epoch": 43.27,
813
+ "learning_rate": 0.013942307692307693,
814
+ "loss": 0.9404,
815
+ "step": 13500
816
+ },
817
+ {
818
+ "epoch": 44.0,
819
+ "eval_accuracy": 0.4729241877256318,
820
+ "eval_loss": 0.402121365070343,
821
+ "eval_runtime": 4.4924,
822
+ "eval_samples_per_second": 61.659,
823
+ "eval_steps_per_second": 7.791,
824
+ "step": 13728
825
+ },
826
+ {
827
+ "best_epoch": 1,
828
+ "best_eval_accuracy": 0.5270758122743683,
829
+ "epoch": 44.0,
830
+ "step": 13728
831
+ },
832
+ {
833
+ "epoch": 44.87,
834
+ "learning_rate": 0.012606837606837607,
835
+ "loss": 0.8008,
836
+ "step": 14000
837
+ },
838
+ {
839
+ "epoch": 45.0,
840
+ "eval_accuracy": 0.5270758122743683,
841
+ "eval_loss": 0.5381026268005371,
842
+ "eval_runtime": 4.4922,
843
+ "eval_samples_per_second": 61.663,
844
+ "eval_steps_per_second": 7.791,
845
+ "step": 14040
846
+ },
847
+ {
848
+ "best_epoch": 1,
849
+ "best_eval_accuracy": 0.5270758122743683,
850
+ "epoch": 45.0,
851
+ "step": 14040
852
+ },
853
+ {
854
+ "epoch": 46.0,
855
+ "eval_accuracy": 0.4729241877256318,
856
+ "eval_loss": 0.3887210786342621,
857
+ "eval_runtime": 4.4883,
858
+ "eval_samples_per_second": 61.716,
859
+ "eval_steps_per_second": 7.798,
860
+ "step": 14352
861
+ },
862
+ {
863
+ "best_epoch": 1,
864
+ "best_eval_accuracy": 0.5270758122743683,
865
+ "epoch": 46.0,
866
+ "step": 14352
867
+ },
868
+ {
869
+ "epoch": 46.47,
870
+ "learning_rate": 0.011271367521367523,
871
+ "loss": 0.841,
872
+ "step": 14500
873
+ },
874
+ {
875
+ "epoch": 47.0,
876
+ "eval_accuracy": 0.5270758122743683,
877
+ "eval_loss": 0.3763456344604492,
878
+ "eval_runtime": 4.4925,
879
+ "eval_samples_per_second": 61.658,
880
+ "eval_steps_per_second": 7.791,
881
+ "step": 14664
882
+ },
883
+ {
884
+ "best_epoch": 1,
885
+ "best_eval_accuracy": 0.5270758122743683,
886
+ "epoch": 47.0,
887
+ "step": 14664
888
+ },
889
+ {
890
+ "epoch": 48.0,
891
+ "eval_accuracy": 0.5270758122743683,
892
+ "eval_loss": 0.36665645241737366,
893
+ "eval_runtime": 4.492,
894
+ "eval_samples_per_second": 61.665,
895
+ "eval_steps_per_second": 7.792,
896
+ "step": 14976
897
+ },
898
+ {
899
+ "best_epoch": 1,
900
+ "best_eval_accuracy": 0.5270758122743683,
901
+ "epoch": 48.0,
902
+ "step": 14976
903
+ },
904
+ {
905
+ "epoch": 48.08,
906
+ "learning_rate": 0.009935897435897435,
907
+ "loss": 0.6912,
908
+ "step": 15000
909
+ },
910
+ {
911
+ "epoch": 49.0,
912
+ "eval_accuracy": 0.4729241877256318,
913
+ "eval_loss": 0.44896015524864197,
914
+ "eval_runtime": 4.4907,
915
+ "eval_samples_per_second": 61.684,
916
+ "eval_steps_per_second": 7.794,
917
+ "step": 15288
918
+ },
919
+ {
920
+ "best_epoch": 1,
921
+ "best_eval_accuracy": 0.5270758122743683,
922
+ "epoch": 49.0,
923
+ "step": 15288
924
+ },
925
+ {
926
+ "epoch": 49.68,
927
+ "learning_rate": 0.008600427350427351,
928
+ "loss": 0.6381,
929
+ "step": 15500
930
+ },
931
+ {
932
+ "epoch": 50.0,
933
+ "eval_accuracy": 0.5270758122743683,
934
+ "eval_loss": 0.7096900939941406,
935
+ "eval_runtime": 4.489,
936
+ "eval_samples_per_second": 61.707,
937
+ "eval_steps_per_second": 7.797,
938
+ "step": 15600
939
+ },
940
+ {
941
+ "best_epoch": 1,
942
+ "best_eval_accuracy": 0.5270758122743683,
943
+ "epoch": 50.0,
944
+ "step": 15600
945
+ },
946
+ {
947
+ "epoch": 51.0,
948
+ "eval_accuracy": 0.4729241877256318,
949
+ "eval_loss": 0.36391106247901917,
950
+ "eval_runtime": 4.4886,
951
+ "eval_samples_per_second": 61.712,
952
+ "eval_steps_per_second": 7.798,
953
+ "step": 15912
954
+ },
955
+ {
956
+ "best_epoch": 1,
957
+ "best_eval_accuracy": 0.5270758122743683,
958
+ "epoch": 51.0,
959
+ "step": 15912
960
+ },
961
+ {
962
+ "epoch": 51.28,
963
+ "learning_rate": 0.007264957264957266,
964
+ "loss": 0.5792,
965
+ "step": 16000
966
+ },
967
+ {
968
+ "epoch": 52.0,
969
+ "eval_accuracy": 0.5270758122743683,
970
+ "eval_loss": 0.379825621843338,
971
+ "eval_runtime": 4.4914,
972
+ "eval_samples_per_second": 61.673,
973
+ "eval_steps_per_second": 7.793,
974
+ "step": 16224
975
+ },
976
+ {
977
+ "best_epoch": 1,
978
+ "best_eval_accuracy": 0.5270758122743683,
979
+ "epoch": 52.0,
980
+ "step": 16224
981
+ },
982
+ {
983
+ "epoch": 52.88,
984
+ "learning_rate": 0.005929487179487179,
985
+ "loss": 0.53,
986
+ "step": 16500
987
+ },
988
+ {
989
+ "epoch": 53.0,
990
+ "eval_accuracy": 0.4729241877256318,
991
+ "eval_loss": 0.38536888360977173,
992
+ "eval_runtime": 4.4972,
993
+ "eval_samples_per_second": 61.594,
994
+ "eval_steps_per_second": 7.783,
995
+ "step": 16536
996
+ },
997
+ {
998
+ "best_epoch": 1,
999
+ "best_eval_accuracy": 0.5270758122743683,
1000
+ "epoch": 53.0,
1001
+ "step": 16536
1002
+ },
1003
+ {
1004
+ "epoch": 54.0,
1005
+ "eval_accuracy": 0.4729241877256318,
1006
+ "eval_loss": 0.3884303867816925,
1007
+ "eval_runtime": 4.493,
1008
+ "eval_samples_per_second": 61.652,
1009
+ "eval_steps_per_second": 7.79,
1010
+ "step": 16848
1011
+ },
1012
+ {
1013
+ "best_epoch": 1,
1014
+ "best_eval_accuracy": 0.5270758122743683,
1015
+ "epoch": 54.0,
1016
+ "step": 16848
1017
+ },
1018
+ {
1019
+ "epoch": 54.49,
1020
+ "learning_rate": 0.004594017094017094,
1021
+ "loss": 0.4977,
1022
+ "step": 17000
1023
+ },
1024
+ {
1025
+ "epoch": 55.0,
1026
+ "eval_accuracy": 0.4729241877256318,
1027
+ "eval_loss": 0.3898393511772156,
1028
+ "eval_runtime": 4.497,
1029
+ "eval_samples_per_second": 61.597,
1030
+ "eval_steps_per_second": 7.783,
1031
+ "step": 17160
1032
+ },
1033
+ {
1034
+ "best_epoch": 1,
1035
+ "best_eval_accuracy": 0.5270758122743683,
1036
+ "epoch": 55.0,
1037
+ "step": 17160
1038
+ },
1039
+ {
1040
+ "epoch": 56.0,
1041
+ "eval_accuracy": 0.5270758122743683,
1042
+ "eval_loss": 0.3479559123516083,
1043
+ "eval_runtime": 4.4975,
1044
+ "eval_samples_per_second": 61.59,
1045
+ "eval_steps_per_second": 7.782,
1046
+ "step": 17472
1047
+ },
1048
+ {
1049
+ "best_epoch": 1,
1050
+ "best_eval_accuracy": 0.5270758122743683,
1051
+ "epoch": 56.0,
1052
+ "step": 17472
1053
+ },
1054
+ {
1055
+ "epoch": 56.09,
1056
+ "learning_rate": 0.003258547008547009,
1057
+ "loss": 0.4596,
1058
+ "step": 17500
1059
+ },
1060
+ {
1061
+ "epoch": 57.0,
1062
+ "eval_accuracy": 0.4729241877256318,
1063
+ "eval_loss": 0.3541661202907562,
1064
+ "eval_runtime": 4.494,
1065
+ "eval_samples_per_second": 61.638,
1066
+ "eval_steps_per_second": 7.788,
1067
+ "step": 17784
1068
+ },
1069
+ {
1070
+ "best_epoch": 1,
1071
+ "best_eval_accuracy": 0.5270758122743683,
1072
+ "epoch": 57.0,
1073
+ "step": 17784
1074
+ },
1075
+ {
1076
+ "epoch": 57.69,
1077
+ "learning_rate": 0.0019230769230769232,
1078
+ "loss": 0.4228,
1079
+ "step": 18000
1080
+ },
1081
+ {
1082
+ "epoch": 58.0,
1083
+ "eval_accuracy": 0.5270758122743683,
1084
+ "eval_loss": 0.3539113700389862,
1085
+ "eval_runtime": 4.4902,
1086
+ "eval_samples_per_second": 61.689,
1087
+ "eval_steps_per_second": 7.795,
1088
+ "step": 18096
1089
+ },
1090
+ {
1091
+ "best_epoch": 1,
1092
+ "best_eval_accuracy": 0.5270758122743683,
1093
+ "epoch": 58.0,
1094
+ "step": 18096
1095
+ },
1096
+ {
1097
+ "epoch": 59.0,
1098
+ "eval_accuracy": 0.5270758122743683,
1099
+ "eval_loss": 0.34990349411964417,
1100
+ "eval_runtime": 4.4855,
1101
+ "eval_samples_per_second": 61.755,
1102
+ "eval_steps_per_second": 7.803,
1103
+ "step": 18408
1104
+ },
1105
+ {
1106
+ "best_epoch": 1,
1107
+ "best_eval_accuracy": 0.5270758122743683,
1108
+ "epoch": 59.0,
1109
+ "step": 18408
1110
+ },
1111
+ {
1112
+ "epoch": 59.29,
1113
+ "learning_rate": 0.0005876068376068377,
1114
+ "loss": 0.3933,
1115
+ "step": 18500
1116
+ },
1117
+ {
1118
+ "epoch": 60.0,
1119
+ "eval_accuracy": 0.5270758122743683,
1120
+ "eval_loss": 0.353112131357193,
1121
+ "eval_runtime": 4.4599,
1122
+ "eval_samples_per_second": 62.109,
1123
+ "eval_steps_per_second": 7.848,
1124
+ "step": 18720
1125
+ },
1126
+ {
1127
+ "best_epoch": 1,
1128
+ "best_eval_accuracy": 0.5270758122743683,
1129
+ "epoch": 60.0,
1130
+ "step": 18720
1131
+ },
1132
+ {
1133
+ "epoch": 60.0,
1134
+ "step": 18720,
1135
+ "total_flos": 7.25686341470208e+16,
1136
+ "train_loss": 1.7262601273691551,
1137
+ "train_runtime": 4126.2043,
1138
+ "train_samples_per_second": 36.208,
1139
+ "train_steps_per_second": 4.537
1140
+ }
1141
+ ],
1142
+ "max_steps": 18720,
1143
+ "num_train_epochs": 60,
1144
+ "total_flos": 7.25686341470208e+16,
1145
+ "trial_name": null,
1146
+ "trial_params": null
1147
+ }