Steve Chiou commited on
Commit
19fcf34
·
1 Parent(s): 5c3c6b0

End of training

Browse files
Files changed (3) hide show
  1. all_results.json +8 -0
  2. test_results.json +8 -0
  3. trainer_state.json +979 -0
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.01,
3
+ "eval_accuracy": 0.6745283018867925,
4
+ "eval_loss": 0.8912516236305237,
5
+ "eval_runtime": 68.7355,
6
+ "eval_samples_per_second": 6.169,
7
+ "eval_steps_per_second": 1.033
8
+ }
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 29.01,
3
+ "eval_accuracy": 0.6745283018867925,
4
+ "eval_loss": 0.8912516236305237,
5
+ "eval_runtime": 68.7355,
6
+ "eval_samples_per_second": 6.169,
7
+ "eval_steps_per_second": 1.033
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,979 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6745283018867925,
3
+ "best_model_checkpoint": "videomae-base-finetuned-engine-subset-20230313/checkpoint-988",
4
+ "epoch": 29.00720720720721,
5
+ "global_step": 1110,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 4.504504504504505e-06,
13
+ "loss": 2.7278,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 9.00900900900901e-06,
19
+ "loss": 2.747,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1.3513513513513515e-05,
25
+ "loss": 2.6212,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "eval_accuracy": 0.37735849056603776,
31
+ "eval_loss": 2.362868070602417,
32
+ "eval_runtime": 69.3989,
33
+ "eval_samples_per_second": 6.11,
34
+ "eval_steps_per_second": 1.023,
35
+ "step": 38
36
+ },
37
+ {
38
+ "epoch": 1.0,
39
+ "learning_rate": 1.801801801801802e-05,
40
+ "loss": 2.6599,
41
+ "step": 40
42
+ },
43
+ {
44
+ "epoch": 1.01,
45
+ "learning_rate": 2.2522522522522523e-05,
46
+ "loss": 2.5895,
47
+ "step": 50
48
+ },
49
+ {
50
+ "epoch": 1.02,
51
+ "learning_rate": 2.702702702702703e-05,
52
+ "loss": 2.5383,
53
+ "step": 60
54
+ },
55
+ {
56
+ "epoch": 1.03,
57
+ "learning_rate": 3.153153153153153e-05,
58
+ "loss": 2.455,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 1.03,
63
+ "eval_accuracy": 0.2169811320754717,
64
+ "eval_loss": 2.3674099445343018,
65
+ "eval_runtime": 70.0897,
66
+ "eval_samples_per_second": 6.049,
67
+ "eval_steps_per_second": 1.013,
68
+ "step": 76
69
+ },
70
+ {
71
+ "epoch": 2.0,
72
+ "learning_rate": 3.603603603603604e-05,
73
+ "loss": 2.421,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 2.01,
78
+ "learning_rate": 4.0540540540540545e-05,
79
+ "loss": 2.4139,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 2.02,
84
+ "learning_rate": 4.5045045045045046e-05,
85
+ "loss": 2.4999,
86
+ "step": 100
87
+ },
88
+ {
89
+ "epoch": 2.03,
90
+ "learning_rate": 4.954954954954955e-05,
91
+ "loss": 2.4311,
92
+ "step": 110
93
+ },
94
+ {
95
+ "epoch": 2.03,
96
+ "eval_accuracy": 0.3231132075471698,
97
+ "eval_loss": 2.2190816402435303,
98
+ "eval_runtime": 71.2703,
99
+ "eval_samples_per_second": 5.949,
100
+ "eval_steps_per_second": 0.996,
101
+ "step": 114
102
+ },
103
+ {
104
+ "epoch": 3.01,
105
+ "learning_rate": 4.954954954954955e-05,
106
+ "loss": 2.5089,
107
+ "step": 120
108
+ },
109
+ {
110
+ "epoch": 3.01,
111
+ "learning_rate": 4.9049049049049054e-05,
112
+ "loss": 2.4986,
113
+ "step": 130
114
+ },
115
+ {
116
+ "epoch": 3.02,
117
+ "learning_rate": 4.854854854854855e-05,
118
+ "loss": 2.3317,
119
+ "step": 140
120
+ },
121
+ {
122
+ "epoch": 3.03,
123
+ "learning_rate": 4.804804804804805e-05,
124
+ "loss": 2.2768,
125
+ "step": 150
126
+ },
127
+ {
128
+ "epoch": 3.03,
129
+ "eval_accuracy": 0.3608490566037736,
130
+ "eval_loss": 2.1226866245269775,
131
+ "eval_runtime": 70.1636,
132
+ "eval_samples_per_second": 6.043,
133
+ "eval_steps_per_second": 1.012,
134
+ "step": 152
135
+ },
136
+ {
137
+ "epoch": 4.01,
138
+ "learning_rate": 4.754754754754755e-05,
139
+ "loss": 2.0041,
140
+ "step": 160
141
+ },
142
+ {
143
+ "epoch": 4.02,
144
+ "learning_rate": 4.704704704704705e-05,
145
+ "loss": 2.2092,
146
+ "step": 170
147
+ },
148
+ {
149
+ "epoch": 4.03,
150
+ "learning_rate": 4.654654654654655e-05,
151
+ "loss": 1.9442,
152
+ "step": 180
153
+ },
154
+ {
155
+ "epoch": 4.03,
156
+ "learning_rate": 4.604604604604605e-05,
157
+ "loss": 1.7528,
158
+ "step": 190
159
+ },
160
+ {
161
+ "epoch": 4.03,
162
+ "eval_accuracy": 0.4363207547169811,
163
+ "eval_loss": 1.729621171951294,
164
+ "eval_runtime": 69.2109,
165
+ "eval_samples_per_second": 6.126,
166
+ "eval_steps_per_second": 1.026,
167
+ "step": 190
168
+ },
169
+ {
170
+ "epoch": 5.01,
171
+ "learning_rate": 4.5545545545545545e-05,
172
+ "loss": 1.6692,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 5.02,
177
+ "learning_rate": 4.5045045045045046e-05,
178
+ "loss": 1.8567,
179
+ "step": 210
180
+ },
181
+ {
182
+ "epoch": 5.03,
183
+ "learning_rate": 4.4544544544544546e-05,
184
+ "loss": 1.5381,
185
+ "step": 220
186
+ },
187
+ {
188
+ "epoch": 5.03,
189
+ "eval_accuracy": 0.4339622641509434,
190
+ "eval_loss": 1.5015883445739746,
191
+ "eval_runtime": 71.2754,
192
+ "eval_samples_per_second": 5.949,
193
+ "eval_steps_per_second": 0.996,
194
+ "step": 228
195
+ },
196
+ {
197
+ "epoch": 6.0,
198
+ "learning_rate": 4.404404404404405e-05,
199
+ "loss": 1.4846,
200
+ "step": 230
201
+ },
202
+ {
203
+ "epoch": 6.01,
204
+ "learning_rate": 4.354354354354355e-05,
205
+ "loss": 1.3143,
206
+ "step": 240
207
+ },
208
+ {
209
+ "epoch": 6.02,
210
+ "learning_rate": 4.304304304304305e-05,
211
+ "loss": 1.2959,
212
+ "step": 250
213
+ },
214
+ {
215
+ "epoch": 6.03,
216
+ "learning_rate": 4.254254254254255e-05,
217
+ "loss": 1.407,
218
+ "step": 260
219
+ },
220
+ {
221
+ "epoch": 6.03,
222
+ "eval_accuracy": 0.5448113207547169,
223
+ "eval_loss": 1.2878233194351196,
224
+ "eval_runtime": 70.9118,
225
+ "eval_samples_per_second": 5.979,
226
+ "eval_steps_per_second": 1.001,
227
+ "step": 266
228
+ },
229
+ {
230
+ "epoch": 7.0,
231
+ "learning_rate": 4.204204204204204e-05,
232
+ "loss": 1.3608,
233
+ "step": 270
234
+ },
235
+ {
236
+ "epoch": 7.01,
237
+ "learning_rate": 4.1541541541541544e-05,
238
+ "loss": 1.5729,
239
+ "step": 280
240
+ },
241
+ {
242
+ "epoch": 7.02,
243
+ "learning_rate": 4.1041041041041045e-05,
244
+ "loss": 1.3095,
245
+ "step": 290
246
+ },
247
+ {
248
+ "epoch": 7.03,
249
+ "learning_rate": 4.0540540540540545e-05,
250
+ "loss": 1.1053,
251
+ "step": 300
252
+ },
253
+ {
254
+ "epoch": 7.03,
255
+ "eval_accuracy": 0.4009433962264151,
256
+ "eval_loss": 1.5210211277008057,
257
+ "eval_runtime": 68.6229,
258
+ "eval_samples_per_second": 6.179,
259
+ "eval_steps_per_second": 1.035,
260
+ "step": 304
261
+ },
262
+ {
263
+ "epoch": 8.01,
264
+ "learning_rate": 4.0040040040040046e-05,
265
+ "loss": 1.2462,
266
+ "step": 310
267
+ },
268
+ {
269
+ "epoch": 8.01,
270
+ "learning_rate": 3.953953953953955e-05,
271
+ "loss": 1.114,
272
+ "step": 320
273
+ },
274
+ {
275
+ "epoch": 8.02,
276
+ "learning_rate": 3.903903903903904e-05,
277
+ "loss": 1.2971,
278
+ "step": 330
279
+ },
280
+ {
281
+ "epoch": 8.03,
282
+ "learning_rate": 3.8538538538538534e-05,
283
+ "loss": 1.0893,
284
+ "step": 340
285
+ },
286
+ {
287
+ "epoch": 8.03,
288
+ "eval_accuracy": 0.46226415094339623,
289
+ "eval_loss": 1.3901519775390625,
290
+ "eval_runtime": 70.4934,
291
+ "eval_samples_per_second": 6.015,
292
+ "eval_steps_per_second": 1.007,
293
+ "step": 342
294
+ },
295
+ {
296
+ "epoch": 9.01,
297
+ "learning_rate": 3.8038038038038035e-05,
298
+ "loss": 1.3258,
299
+ "step": 350
300
+ },
301
+ {
302
+ "epoch": 9.02,
303
+ "learning_rate": 3.7537537537537536e-05,
304
+ "loss": 1.1349,
305
+ "step": 360
306
+ },
307
+ {
308
+ "epoch": 9.03,
309
+ "learning_rate": 3.7037037037037037e-05,
310
+ "loss": 1.0029,
311
+ "step": 370
312
+ },
313
+ {
314
+ "epoch": 9.03,
315
+ "learning_rate": 3.653653653653654e-05,
316
+ "loss": 0.8136,
317
+ "step": 380
318
+ },
319
+ {
320
+ "epoch": 9.03,
321
+ "eval_accuracy": 0.4033018867924528,
322
+ "eval_loss": 1.6456053256988525,
323
+ "eval_runtime": 71.0727,
324
+ "eval_samples_per_second": 5.966,
325
+ "eval_steps_per_second": 0.999,
326
+ "step": 380
327
+ },
328
+ {
329
+ "epoch": 10.01,
330
+ "learning_rate": 3.603603603603604e-05,
331
+ "loss": 1.1048,
332
+ "step": 390
333
+ },
334
+ {
335
+ "epoch": 10.02,
336
+ "learning_rate": 3.553553553553554e-05,
337
+ "loss": 1.2661,
338
+ "step": 400
339
+ },
340
+ {
341
+ "epoch": 10.03,
342
+ "learning_rate": 3.503503503503503e-05,
343
+ "loss": 0.9565,
344
+ "step": 410
345
+ },
346
+ {
347
+ "epoch": 10.03,
348
+ "eval_accuracy": 0.5613207547169812,
349
+ "eval_loss": 1.18259859085083,
350
+ "eval_runtime": 70.181,
351
+ "eval_samples_per_second": 6.042,
352
+ "eval_steps_per_second": 1.012,
353
+ "step": 418
354
+ },
355
+ {
356
+ "epoch": 11.0,
357
+ "learning_rate": 3.453453453453453e-05,
358
+ "loss": 1.0921,
359
+ "step": 420
360
+ },
361
+ {
362
+ "epoch": 11.01,
363
+ "learning_rate": 3.4034034034034034e-05,
364
+ "loss": 0.7383,
365
+ "step": 430
366
+ },
367
+ {
368
+ "epoch": 11.02,
369
+ "learning_rate": 3.3533533533533535e-05,
370
+ "loss": 0.926,
371
+ "step": 440
372
+ },
373
+ {
374
+ "epoch": 11.03,
375
+ "learning_rate": 3.3033033033033035e-05,
376
+ "loss": 1.0147,
377
+ "step": 450
378
+ },
379
+ {
380
+ "epoch": 11.03,
381
+ "eval_accuracy": 0.5117924528301887,
382
+ "eval_loss": 1.2098637819290161,
383
+ "eval_runtime": 70.8824,
384
+ "eval_samples_per_second": 5.982,
385
+ "eval_steps_per_second": 1.002,
386
+ "step": 456
387
+ },
388
+ {
389
+ "epoch": 12.0,
390
+ "learning_rate": 3.2532532532532536e-05,
391
+ "loss": 0.9178,
392
+ "step": 460
393
+ },
394
+ {
395
+ "epoch": 12.01,
396
+ "learning_rate": 3.203203203203203e-05,
397
+ "loss": 0.8994,
398
+ "step": 470
399
+ },
400
+ {
401
+ "epoch": 12.02,
402
+ "learning_rate": 3.153153153153153e-05,
403
+ "loss": 0.8648,
404
+ "step": 480
405
+ },
406
+ {
407
+ "epoch": 12.03,
408
+ "learning_rate": 3.103103103103103e-05,
409
+ "loss": 0.9125,
410
+ "step": 490
411
+ },
412
+ {
413
+ "epoch": 12.03,
414
+ "eval_accuracy": 0.5495283018867925,
415
+ "eval_loss": 1.1849919557571411,
416
+ "eval_runtime": 70.4782,
417
+ "eval_samples_per_second": 6.016,
418
+ "eval_steps_per_second": 1.007,
419
+ "step": 494
420
+ },
421
+ {
422
+ "epoch": 13.01,
423
+ "learning_rate": 3.053053053053053e-05,
424
+ "loss": 0.8926,
425
+ "step": 500
426
+ },
427
+ {
428
+ "epoch": 13.01,
429
+ "learning_rate": 3.0030030030030033e-05,
430
+ "loss": 0.8618,
431
+ "step": 510
432
+ },
433
+ {
434
+ "epoch": 13.02,
435
+ "learning_rate": 2.952952952952953e-05,
436
+ "loss": 0.8057,
437
+ "step": 520
438
+ },
439
+ {
440
+ "epoch": 13.03,
441
+ "learning_rate": 2.902902902902903e-05,
442
+ "loss": 0.7091,
443
+ "step": 530
444
+ },
445
+ {
446
+ "epoch": 13.03,
447
+ "eval_accuracy": 0.535377358490566,
448
+ "eval_loss": 1.2324182987213135,
449
+ "eval_runtime": 70.9353,
450
+ "eval_samples_per_second": 5.977,
451
+ "eval_steps_per_second": 1.001,
452
+ "step": 532
453
+ },
454
+ {
455
+ "epoch": 14.01,
456
+ "learning_rate": 2.852852852852853e-05,
457
+ "loss": 0.74,
458
+ "step": 540
459
+ },
460
+ {
461
+ "epoch": 14.02,
462
+ "learning_rate": 2.8028028028028032e-05,
463
+ "loss": 0.7484,
464
+ "step": 550
465
+ },
466
+ {
467
+ "epoch": 14.03,
468
+ "learning_rate": 2.752752752752753e-05,
469
+ "loss": 0.7962,
470
+ "step": 560
471
+ },
472
+ {
473
+ "epoch": 14.03,
474
+ "learning_rate": 2.702702702702703e-05,
475
+ "loss": 0.7361,
476
+ "step": 570
477
+ },
478
+ {
479
+ "epoch": 14.03,
480
+ "eval_accuracy": 0.6226415094339622,
481
+ "eval_loss": 1.022481083869934,
482
+ "eval_runtime": 70.6845,
483
+ "eval_samples_per_second": 5.998,
484
+ "eval_steps_per_second": 1.004,
485
+ "step": 570
486
+ },
487
+ {
488
+ "epoch": 15.01,
489
+ "learning_rate": 2.652652652652653e-05,
490
+ "loss": 0.8396,
491
+ "step": 580
492
+ },
493
+ {
494
+ "epoch": 15.02,
495
+ "learning_rate": 2.6026026026026028e-05,
496
+ "loss": 0.7193,
497
+ "step": 590
498
+ },
499
+ {
500
+ "epoch": 15.03,
501
+ "learning_rate": 2.552552552552553e-05,
502
+ "loss": 0.6979,
503
+ "step": 600
504
+ },
505
+ {
506
+ "epoch": 15.03,
507
+ "eval_accuracy": 0.5589622641509434,
508
+ "eval_loss": 1.0737839937210083,
509
+ "eval_runtime": 69.8991,
510
+ "eval_samples_per_second": 6.066,
511
+ "eval_steps_per_second": 1.016,
512
+ "step": 608
513
+ },
514
+ {
515
+ "epoch": 16.0,
516
+ "learning_rate": 2.502502502502503e-05,
517
+ "loss": 0.6869,
518
+ "step": 610
519
+ },
520
+ {
521
+ "epoch": 16.01,
522
+ "learning_rate": 2.4524524524524527e-05,
523
+ "loss": 0.6704,
524
+ "step": 620
525
+ },
526
+ {
527
+ "epoch": 16.02,
528
+ "learning_rate": 2.4024024024024024e-05,
529
+ "loss": 0.8011,
530
+ "step": 630
531
+ },
532
+ {
533
+ "epoch": 16.03,
534
+ "learning_rate": 2.3523523523523525e-05,
535
+ "loss": 0.5265,
536
+ "step": 640
537
+ },
538
+ {
539
+ "epoch": 16.03,
540
+ "eval_accuracy": 0.5872641509433962,
541
+ "eval_loss": 1.1062343120574951,
542
+ "eval_runtime": 70.6095,
543
+ "eval_samples_per_second": 6.005,
544
+ "eval_steps_per_second": 1.006,
545
+ "step": 646
546
+ },
547
+ {
548
+ "epoch": 17.0,
549
+ "learning_rate": 2.3023023023023026e-05,
550
+ "loss": 0.6415,
551
+ "step": 650
552
+ },
553
+ {
554
+ "epoch": 17.01,
555
+ "learning_rate": 2.2522522522522523e-05,
556
+ "loss": 0.7402,
557
+ "step": 660
558
+ },
559
+ {
560
+ "epoch": 17.02,
561
+ "learning_rate": 2.2022022022022024e-05,
562
+ "loss": 0.6275,
563
+ "step": 670
564
+ },
565
+ {
566
+ "epoch": 17.03,
567
+ "learning_rate": 2.1521521521521524e-05,
568
+ "loss": 0.5651,
569
+ "step": 680
570
+ },
571
+ {
572
+ "epoch": 17.03,
573
+ "eval_accuracy": 0.5801886792452831,
574
+ "eval_loss": 1.1402446031570435,
575
+ "eval_runtime": 70.0342,
576
+ "eval_samples_per_second": 6.054,
577
+ "eval_steps_per_second": 1.014,
578
+ "step": 684
579
+ },
580
+ {
581
+ "epoch": 18.01,
582
+ "learning_rate": 2.102102102102102e-05,
583
+ "loss": 0.5542,
584
+ "step": 690
585
+ },
586
+ {
587
+ "epoch": 18.01,
588
+ "learning_rate": 2.0520520520520522e-05,
589
+ "loss": 0.6903,
590
+ "step": 700
591
+ },
592
+ {
593
+ "epoch": 18.02,
594
+ "learning_rate": 2.0020020020020023e-05,
595
+ "loss": 0.7,
596
+ "step": 710
597
+ },
598
+ {
599
+ "epoch": 18.03,
600
+ "learning_rate": 1.951951951951952e-05,
601
+ "loss": 0.7182,
602
+ "step": 720
603
+ },
604
+ {
605
+ "epoch": 18.03,
606
+ "eval_accuracy": 0.5801886792452831,
607
+ "eval_loss": 1.097399115562439,
608
+ "eval_runtime": 70.689,
609
+ "eval_samples_per_second": 5.998,
610
+ "eval_steps_per_second": 1.004,
611
+ "step": 722
612
+ },
613
+ {
614
+ "epoch": 19.01,
615
+ "learning_rate": 1.9019019019019018e-05,
616
+ "loss": 0.5921,
617
+ "step": 730
618
+ },
619
+ {
620
+ "epoch": 19.02,
621
+ "learning_rate": 1.8518518518518518e-05,
622
+ "loss": 0.5428,
623
+ "step": 740
624
+ },
625
+ {
626
+ "epoch": 19.03,
627
+ "learning_rate": 1.801801801801802e-05,
628
+ "loss": 0.7289,
629
+ "step": 750
630
+ },
631
+ {
632
+ "epoch": 19.03,
633
+ "learning_rate": 1.7517517517517516e-05,
634
+ "loss": 0.6582,
635
+ "step": 760
636
+ },
637
+ {
638
+ "epoch": 19.03,
639
+ "eval_accuracy": 0.6179245283018868,
640
+ "eval_loss": 1.0529001951217651,
641
+ "eval_runtime": 70.8949,
642
+ "eval_samples_per_second": 5.981,
643
+ "eval_steps_per_second": 1.001,
644
+ "step": 760
645
+ },
646
+ {
647
+ "epoch": 20.01,
648
+ "learning_rate": 1.7017017017017017e-05,
649
+ "loss": 0.5001,
650
+ "step": 770
651
+ },
652
+ {
653
+ "epoch": 20.02,
654
+ "learning_rate": 1.6516516516516518e-05,
655
+ "loss": 0.5387,
656
+ "step": 780
657
+ },
658
+ {
659
+ "epoch": 20.03,
660
+ "learning_rate": 1.6016016016016015e-05,
661
+ "loss": 0.5709,
662
+ "step": 790
663
+ },
664
+ {
665
+ "epoch": 20.03,
666
+ "eval_accuracy": 0.6344339622641509,
667
+ "eval_loss": 0.965450644493103,
668
+ "eval_runtime": 69.2205,
669
+ "eval_samples_per_second": 6.125,
670
+ "eval_steps_per_second": 1.026,
671
+ "step": 798
672
+ },
673
+ {
674
+ "epoch": 21.0,
675
+ "learning_rate": 1.5515515515515516e-05,
676
+ "loss": 0.7102,
677
+ "step": 800
678
+ },
679
+ {
680
+ "epoch": 21.01,
681
+ "learning_rate": 1.5015015015015016e-05,
682
+ "loss": 0.4746,
683
+ "step": 810
684
+ },
685
+ {
686
+ "epoch": 21.02,
687
+ "learning_rate": 1.4514514514514515e-05,
688
+ "loss": 0.611,
689
+ "step": 820
690
+ },
691
+ {
692
+ "epoch": 21.03,
693
+ "learning_rate": 1.4014014014014016e-05,
694
+ "loss": 0.4808,
695
+ "step": 830
696
+ },
697
+ {
698
+ "epoch": 21.03,
699
+ "eval_accuracy": 0.6226415094339622,
700
+ "eval_loss": 1.0440747737884521,
701
+ "eval_runtime": 70.6133,
702
+ "eval_samples_per_second": 6.005,
703
+ "eval_steps_per_second": 1.005,
704
+ "step": 836
705
+ },
706
+ {
707
+ "epoch": 22.0,
708
+ "learning_rate": 1.3513513513513515e-05,
709
+ "loss": 0.5081,
710
+ "step": 840
711
+ },
712
+ {
713
+ "epoch": 22.01,
714
+ "learning_rate": 1.3013013013013014e-05,
715
+ "loss": 0.6717,
716
+ "step": 850
717
+ },
718
+ {
719
+ "epoch": 22.02,
720
+ "learning_rate": 1.2512512512512515e-05,
721
+ "loss": 0.343,
722
+ "step": 860
723
+ },
724
+ {
725
+ "epoch": 22.03,
726
+ "learning_rate": 1.2012012012012012e-05,
727
+ "loss": 0.5816,
728
+ "step": 870
729
+ },
730
+ {
731
+ "epoch": 22.03,
732
+ "eval_accuracy": 0.6438679245283019,
733
+ "eval_loss": 0.9445228576660156,
734
+ "eval_runtime": 70.5922,
735
+ "eval_samples_per_second": 6.006,
736
+ "eval_steps_per_second": 1.006,
737
+ "step": 874
738
+ },
739
+ {
740
+ "epoch": 23.01,
741
+ "learning_rate": 1.1511511511511513e-05,
742
+ "loss": 0.4179,
743
+ "step": 880
744
+ },
745
+ {
746
+ "epoch": 23.01,
747
+ "learning_rate": 1.1011011011011012e-05,
748
+ "loss": 0.4346,
749
+ "step": 890
750
+ },
751
+ {
752
+ "epoch": 23.02,
753
+ "learning_rate": 1.051051051051051e-05,
754
+ "loss": 0.4038,
755
+ "step": 900
756
+ },
757
+ {
758
+ "epoch": 23.03,
759
+ "learning_rate": 1.0010010010010011e-05,
760
+ "loss": 0.5057,
761
+ "step": 910
762
+ },
763
+ {
764
+ "epoch": 23.03,
765
+ "eval_accuracy": 0.6320754716981132,
766
+ "eval_loss": 1.0248113870620728,
767
+ "eval_runtime": 71.1172,
768
+ "eval_samples_per_second": 5.962,
769
+ "eval_steps_per_second": 0.998,
770
+ "step": 912
771
+ },
772
+ {
773
+ "epoch": 24.01,
774
+ "learning_rate": 9.509509509509509e-06,
775
+ "loss": 0.393,
776
+ "step": 920
777
+ },
778
+ {
779
+ "epoch": 24.02,
780
+ "learning_rate": 9.00900900900901e-06,
781
+ "loss": 0.4297,
782
+ "step": 930
783
+ },
784
+ {
785
+ "epoch": 24.03,
786
+ "learning_rate": 8.508508508508508e-06,
787
+ "loss": 0.5053,
788
+ "step": 940
789
+ },
790
+ {
791
+ "epoch": 24.03,
792
+ "learning_rate": 8.008008008008007e-06,
793
+ "loss": 0.6253,
794
+ "step": 950
795
+ },
796
+ {
797
+ "epoch": 24.03,
798
+ "eval_accuracy": 0.660377358490566,
799
+ "eval_loss": 0.9517852067947388,
800
+ "eval_runtime": 70.664,
801
+ "eval_samples_per_second": 6.0,
802
+ "eval_steps_per_second": 1.005,
803
+ "step": 950
804
+ },
805
+ {
806
+ "epoch": 25.01,
807
+ "learning_rate": 7.507507507507508e-06,
808
+ "loss": 0.4143,
809
+ "step": 960
810
+ },
811
+ {
812
+ "epoch": 25.02,
813
+ "learning_rate": 7.007007007007008e-06,
814
+ "loss": 0.6003,
815
+ "step": 970
816
+ },
817
+ {
818
+ "epoch": 25.03,
819
+ "learning_rate": 6.506506506506507e-06,
820
+ "loss": 0.6841,
821
+ "step": 980
822
+ },
823
+ {
824
+ "epoch": 25.03,
825
+ "eval_accuracy": 0.6745283018867925,
826
+ "eval_loss": 0.8912516236305237,
827
+ "eval_runtime": 70.8493,
828
+ "eval_samples_per_second": 5.985,
829
+ "eval_steps_per_second": 1.002,
830
+ "step": 988
831
+ },
832
+ {
833
+ "epoch": 26.0,
834
+ "learning_rate": 6.006006006006006e-06,
835
+ "loss": 0.2104,
836
+ "step": 990
837
+ },
838
+ {
839
+ "epoch": 26.01,
840
+ "learning_rate": 5.505505505505506e-06,
841
+ "loss": 0.6054,
842
+ "step": 1000
843
+ },
844
+ {
845
+ "epoch": 26.02,
846
+ "learning_rate": 5.005005005005006e-06,
847
+ "loss": 0.6045,
848
+ "step": 1010
849
+ },
850
+ {
851
+ "epoch": 26.03,
852
+ "learning_rate": 4.504504504504505e-06,
853
+ "loss": 0.5933,
854
+ "step": 1020
855
+ },
856
+ {
857
+ "epoch": 26.03,
858
+ "eval_accuracy": 0.6438679245283019,
859
+ "eval_loss": 0.9012843370437622,
860
+ "eval_runtime": 71.2482,
861
+ "eval_samples_per_second": 5.951,
862
+ "eval_steps_per_second": 0.997,
863
+ "step": 1026
864
+ },
865
+ {
866
+ "epoch": 27.0,
867
+ "learning_rate": 4.004004004004004e-06,
868
+ "loss": 0.4052,
869
+ "step": 1030
870
+ },
871
+ {
872
+ "epoch": 27.01,
873
+ "learning_rate": 3.503503503503504e-06,
874
+ "loss": 0.4422,
875
+ "step": 1040
876
+ },
877
+ {
878
+ "epoch": 27.02,
879
+ "learning_rate": 3.003003003003003e-06,
880
+ "loss": 0.4861,
881
+ "step": 1050
882
+ },
883
+ {
884
+ "epoch": 27.03,
885
+ "learning_rate": 2.502502502502503e-06,
886
+ "loss": 0.389,
887
+ "step": 1060
888
+ },
889
+ {
890
+ "epoch": 27.03,
891
+ "eval_accuracy": 0.6627358490566038,
892
+ "eval_loss": 0.9089723229408264,
893
+ "eval_runtime": 71.3879,
894
+ "eval_samples_per_second": 5.939,
895
+ "eval_steps_per_second": 0.995,
896
+ "step": 1064
897
+ },
898
+ {
899
+ "epoch": 28.01,
900
+ "learning_rate": 2.002002002002002e-06,
901
+ "loss": 0.4572,
902
+ "step": 1070
903
+ },
904
+ {
905
+ "epoch": 28.01,
906
+ "learning_rate": 1.5015015015015015e-06,
907
+ "loss": 0.213,
908
+ "step": 1080
909
+ },
910
+ {
911
+ "epoch": 28.02,
912
+ "learning_rate": 1.001001001001001e-06,
913
+ "loss": 0.6041,
914
+ "step": 1090
915
+ },
916
+ {
917
+ "epoch": 28.03,
918
+ "learning_rate": 5.005005005005005e-07,
919
+ "loss": 0.3705,
920
+ "step": 1100
921
+ },
922
+ {
923
+ "epoch": 28.03,
924
+ "eval_accuracy": 0.6721698113207547,
925
+ "eval_loss": 0.8935866355895996,
926
+ "eval_runtime": 70.2956,
927
+ "eval_samples_per_second": 6.032,
928
+ "eval_steps_per_second": 1.01,
929
+ "step": 1102
930
+ },
931
+ {
932
+ "epoch": 29.01,
933
+ "learning_rate": 0.0,
934
+ "loss": 0.6043,
935
+ "step": 1110
936
+ },
937
+ {
938
+ "epoch": 29.01,
939
+ "eval_accuracy": 0.6721698113207547,
940
+ "eval_loss": 0.8942137956619263,
941
+ "eval_runtime": 69.8197,
942
+ "eval_samples_per_second": 6.073,
943
+ "eval_steps_per_second": 1.017,
944
+ "step": 1110
945
+ },
946
+ {
947
+ "epoch": 29.01,
948
+ "step": 1110,
949
+ "total_flos": 8.191332105366897e+18,
950
+ "train_loss": 1.059841639716346,
951
+ "train_runtime": 5977.6934,
952
+ "train_samples_per_second": 1.114,
953
+ "train_steps_per_second": 0.186
954
+ },
955
+ {
956
+ "epoch": 29.01,
957
+ "eval_accuracy": 0.6745283018867925,
958
+ "eval_loss": 0.8912516236305237,
959
+ "eval_runtime": 68.8583,
960
+ "eval_samples_per_second": 6.158,
961
+ "eval_steps_per_second": 1.031,
962
+ "step": 1110
963
+ },
964
+ {
965
+ "epoch": 29.01,
966
+ "eval_accuracy": 0.6745283018867925,
967
+ "eval_loss": 0.8912516236305237,
968
+ "eval_runtime": 68.7355,
969
+ "eval_samples_per_second": 6.169,
970
+ "eval_steps_per_second": 1.033,
971
+ "step": 1110
972
+ }
973
+ ],
974
+ "max_steps": 1110,
975
+ "num_train_epochs": 9223372036854775807,
976
+ "total_flos": 8.191332105366897e+18,
977
+ "trial_name": null,
978
+ "trial_params": null
979
+ }