koya1 commited on
Commit
4d9739e
1 Parent(s): 7764ce4

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.25,
3
+ "eval_accuracy": 0.8903225806451613,
4
+ "eval_loss": 0.440502792596817,
5
+ "eval_runtime": 41.2135,
6
+ "eval_samples_per_second": 3.761,
7
+ "eval_steps_per_second": 3.761
8
+ }
runs/Feb24_06-13-00_888e11ff7e41/events.out.tfevents.1677220321.888e11ff7e41.19479.2 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ba42a93b4e593302983c02a39f19a116bd061541ad3e39722c1c08971347c86f
3
- size 363
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fb1a959d6b80d2aa4f79fcf92a8b8d432b7fdce2614756a2aa8f14d9187571a9
3
+ size 686
test_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.25,
3
+ "eval_accuracy": 0.8903225806451613,
4
+ "eval_loss": 0.440502792596817,
5
+ "eval_runtime": 41.2135,
6
+ "eval_samples_per_second": 3.761,
7
+ "eval_steps_per_second": 3.761
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,799 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9428571428571428,
3
+ "best_model_checkpoint": "videomae-base-finetuned-ucf101-subset/checkpoint-1200",
4
+ "epoch": 3.25,
5
+ "global_step": 1200,
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": 4.166666666666667e-06,
13
+ "loss": 2.2922,
14
+ "step": 10
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 8.333333333333334e-06,
19
+ "loss": 2.4525,
20
+ "step": 20
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1.25e-05,
25
+ "loss": 2.1925,
26
+ "step": 30
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "learning_rate": 1.6666666666666667e-05,
31
+ "loss": 2.3623,
32
+ "step": 40
33
+ },
34
+ {
35
+ "epoch": 0.04,
36
+ "learning_rate": 2.0833333333333336e-05,
37
+ "loss": 2.3743,
38
+ "step": 50
39
+ },
40
+ {
41
+ "epoch": 0.05,
42
+ "learning_rate": 2.5e-05,
43
+ "loss": 2.2602,
44
+ "step": 60
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "learning_rate": 2.916666666666667e-05,
49
+ "loss": 2.1061,
50
+ "step": 70
51
+ },
52
+ {
53
+ "epoch": 0.07,
54
+ "learning_rate": 3.3333333333333335e-05,
55
+ "loss": 2.3268,
56
+ "step": 80
57
+ },
58
+ {
59
+ "epoch": 0.07,
60
+ "learning_rate": 3.7500000000000003e-05,
61
+ "loss": 2.0243,
62
+ "step": 90
63
+ },
64
+ {
65
+ "epoch": 0.08,
66
+ "learning_rate": 4.166666666666667e-05,
67
+ "loss": 2.1431,
68
+ "step": 100
69
+ },
70
+ {
71
+ "epoch": 0.09,
72
+ "learning_rate": 4.5833333333333334e-05,
73
+ "loss": 2.3423,
74
+ "step": 110
75
+ },
76
+ {
77
+ "epoch": 0.1,
78
+ "learning_rate": 5e-05,
79
+ "loss": 2.2541,
80
+ "step": 120
81
+ },
82
+ {
83
+ "epoch": 0.11,
84
+ "learning_rate": 4.9537037037037035e-05,
85
+ "loss": 2.3505,
86
+ "step": 130
87
+ },
88
+ {
89
+ "epoch": 0.12,
90
+ "learning_rate": 4.9074074074074075e-05,
91
+ "loss": 2.0939,
92
+ "step": 140
93
+ },
94
+ {
95
+ "epoch": 0.12,
96
+ "learning_rate": 4.8611111111111115e-05,
97
+ "loss": 1.7829,
98
+ "step": 150
99
+ },
100
+ {
101
+ "epoch": 0.13,
102
+ "learning_rate": 4.814814814814815e-05,
103
+ "loss": 1.7555,
104
+ "step": 160
105
+ },
106
+ {
107
+ "epoch": 0.14,
108
+ "learning_rate": 4.768518518518519e-05,
109
+ "loss": 1.9346,
110
+ "step": 170
111
+ },
112
+ {
113
+ "epoch": 0.15,
114
+ "learning_rate": 4.722222222222222e-05,
115
+ "loss": 1.9396,
116
+ "step": 180
117
+ },
118
+ {
119
+ "epoch": 0.16,
120
+ "learning_rate": 4.675925925925926e-05,
121
+ "loss": 1.9466,
122
+ "step": 190
123
+ },
124
+ {
125
+ "epoch": 0.17,
126
+ "learning_rate": 4.62962962962963e-05,
127
+ "loss": 1.6892,
128
+ "step": 200
129
+ },
130
+ {
131
+ "epoch": 0.17,
132
+ "learning_rate": 4.5833333333333334e-05,
133
+ "loss": 2.4106,
134
+ "step": 210
135
+ },
136
+ {
137
+ "epoch": 0.18,
138
+ "learning_rate": 4.5370370370370374e-05,
139
+ "loss": 1.3906,
140
+ "step": 220
141
+ },
142
+ {
143
+ "epoch": 0.19,
144
+ "learning_rate": 4.490740740740741e-05,
145
+ "loss": 1.7851,
146
+ "step": 230
147
+ },
148
+ {
149
+ "epoch": 0.2,
150
+ "learning_rate": 4.4444444444444447e-05,
151
+ "loss": 2.1411,
152
+ "step": 240
153
+ },
154
+ {
155
+ "epoch": 0.21,
156
+ "learning_rate": 4.3981481481481486e-05,
157
+ "loss": 1.5438,
158
+ "step": 250
159
+ },
160
+ {
161
+ "epoch": 0.22,
162
+ "learning_rate": 4.351851851851852e-05,
163
+ "loss": 1.6946,
164
+ "step": 260
165
+ },
166
+ {
167
+ "epoch": 0.23,
168
+ "learning_rate": 4.305555555555556e-05,
169
+ "loss": 1.6672,
170
+ "step": 270
171
+ },
172
+ {
173
+ "epoch": 0.23,
174
+ "learning_rate": 4.259259259259259e-05,
175
+ "loss": 1.5646,
176
+ "step": 280
177
+ },
178
+ {
179
+ "epoch": 0.24,
180
+ "learning_rate": 4.212962962962963e-05,
181
+ "loss": 1.0195,
182
+ "step": 290
183
+ },
184
+ {
185
+ "epoch": 0.25,
186
+ "learning_rate": 4.166666666666667e-05,
187
+ "loss": 1.7475,
188
+ "step": 300
189
+ },
190
+ {
191
+ "epoch": 0.25,
192
+ "eval_accuracy": 0.5,
193
+ "eval_loss": 1.184158444404602,
194
+ "eval_runtime": 18.7511,
195
+ "eval_samples_per_second": 3.733,
196
+ "eval_steps_per_second": 3.733,
197
+ "step": 300
198
+ },
199
+ {
200
+ "epoch": 1.01,
201
+ "learning_rate": 4.1203703703703705e-05,
202
+ "loss": 1.0577,
203
+ "step": 310
204
+ },
205
+ {
206
+ "epoch": 1.02,
207
+ "learning_rate": 4.074074074074074e-05,
208
+ "loss": 1.2999,
209
+ "step": 320
210
+ },
211
+ {
212
+ "epoch": 1.02,
213
+ "learning_rate": 4.027777777777778e-05,
214
+ "loss": 1.1442,
215
+ "step": 330
216
+ },
217
+ {
218
+ "epoch": 1.03,
219
+ "learning_rate": 3.981481481481482e-05,
220
+ "loss": 1.6353,
221
+ "step": 340
222
+ },
223
+ {
224
+ "epoch": 1.04,
225
+ "learning_rate": 3.935185185185186e-05,
226
+ "loss": 0.577,
227
+ "step": 350
228
+ },
229
+ {
230
+ "epoch": 1.05,
231
+ "learning_rate": 3.888888888888889e-05,
232
+ "loss": 1.339,
233
+ "step": 360
234
+ },
235
+ {
236
+ "epoch": 1.06,
237
+ "learning_rate": 3.8425925925925924e-05,
238
+ "loss": 1.1685,
239
+ "step": 370
240
+ },
241
+ {
242
+ "epoch": 1.07,
243
+ "learning_rate": 3.7962962962962964e-05,
244
+ "loss": 0.9136,
245
+ "step": 380
246
+ },
247
+ {
248
+ "epoch": 1.07,
249
+ "learning_rate": 3.7500000000000003e-05,
250
+ "loss": 0.9822,
251
+ "step": 390
252
+ },
253
+ {
254
+ "epoch": 1.08,
255
+ "learning_rate": 3.7037037037037037e-05,
256
+ "loss": 1.0447,
257
+ "step": 400
258
+ },
259
+ {
260
+ "epoch": 1.09,
261
+ "learning_rate": 3.6574074074074076e-05,
262
+ "loss": 0.423,
263
+ "step": 410
264
+ },
265
+ {
266
+ "epoch": 1.1,
267
+ "learning_rate": 3.611111111111111e-05,
268
+ "loss": 1.1374,
269
+ "step": 420
270
+ },
271
+ {
272
+ "epoch": 1.11,
273
+ "learning_rate": 3.564814814814815e-05,
274
+ "loss": 1.2757,
275
+ "step": 430
276
+ },
277
+ {
278
+ "epoch": 1.12,
279
+ "learning_rate": 3.518518518518519e-05,
280
+ "loss": 1.1345,
281
+ "step": 440
282
+ },
283
+ {
284
+ "epoch": 1.12,
285
+ "learning_rate": 3.472222222222222e-05,
286
+ "loss": 0.922,
287
+ "step": 450
288
+ },
289
+ {
290
+ "epoch": 1.13,
291
+ "learning_rate": 3.425925925925926e-05,
292
+ "loss": 0.9722,
293
+ "step": 460
294
+ },
295
+ {
296
+ "epoch": 1.14,
297
+ "learning_rate": 3.3796296296296295e-05,
298
+ "loss": 0.7802,
299
+ "step": 470
300
+ },
301
+ {
302
+ "epoch": 1.15,
303
+ "learning_rate": 3.3333333333333335e-05,
304
+ "loss": 0.9064,
305
+ "step": 480
306
+ },
307
+ {
308
+ "epoch": 1.16,
309
+ "learning_rate": 3.2870370370370375e-05,
310
+ "loss": 0.999,
311
+ "step": 490
312
+ },
313
+ {
314
+ "epoch": 1.17,
315
+ "learning_rate": 3.240740740740741e-05,
316
+ "loss": 0.6053,
317
+ "step": 500
318
+ },
319
+ {
320
+ "epoch": 1.18,
321
+ "learning_rate": 3.194444444444444e-05,
322
+ "loss": 0.9205,
323
+ "step": 510
324
+ },
325
+ {
326
+ "epoch": 1.18,
327
+ "learning_rate": 3.148148148148148e-05,
328
+ "loss": 0.2107,
329
+ "step": 520
330
+ },
331
+ {
332
+ "epoch": 1.19,
333
+ "learning_rate": 3.101851851851852e-05,
334
+ "loss": 0.4596,
335
+ "step": 530
336
+ },
337
+ {
338
+ "epoch": 1.2,
339
+ "learning_rate": 3.055555555555556e-05,
340
+ "loss": 1.0888,
341
+ "step": 540
342
+ },
343
+ {
344
+ "epoch": 1.21,
345
+ "learning_rate": 3.0092592592592593e-05,
346
+ "loss": 0.0705,
347
+ "step": 550
348
+ },
349
+ {
350
+ "epoch": 1.22,
351
+ "learning_rate": 2.962962962962963e-05,
352
+ "loss": 0.3205,
353
+ "step": 560
354
+ },
355
+ {
356
+ "epoch": 1.23,
357
+ "learning_rate": 2.916666666666667e-05,
358
+ "loss": 1.5204,
359
+ "step": 570
360
+ },
361
+ {
362
+ "epoch": 1.23,
363
+ "learning_rate": 2.8703703703703706e-05,
364
+ "loss": 1.2857,
365
+ "step": 580
366
+ },
367
+ {
368
+ "epoch": 1.24,
369
+ "learning_rate": 2.824074074074074e-05,
370
+ "loss": 1.465,
371
+ "step": 590
372
+ },
373
+ {
374
+ "epoch": 1.25,
375
+ "learning_rate": 2.777777777777778e-05,
376
+ "loss": 1.5059,
377
+ "step": 600
378
+ },
379
+ {
380
+ "epoch": 1.25,
381
+ "eval_accuracy": 0.6142857142857143,
382
+ "eval_loss": 1.4308925867080688,
383
+ "eval_runtime": 18.6034,
384
+ "eval_samples_per_second": 3.763,
385
+ "eval_steps_per_second": 3.763,
386
+ "step": 600
387
+ },
388
+ {
389
+ "epoch": 2.01,
390
+ "learning_rate": 2.7314814814814816e-05,
391
+ "loss": 0.574,
392
+ "step": 610
393
+ },
394
+ {
395
+ "epoch": 2.02,
396
+ "learning_rate": 2.6851851851851855e-05,
397
+ "loss": 0.3701,
398
+ "step": 620
399
+ },
400
+ {
401
+ "epoch": 2.02,
402
+ "learning_rate": 2.6388888888888892e-05,
403
+ "loss": 0.0377,
404
+ "step": 630
405
+ },
406
+ {
407
+ "epoch": 2.03,
408
+ "learning_rate": 2.5925925925925925e-05,
409
+ "loss": 0.6365,
410
+ "step": 640
411
+ },
412
+ {
413
+ "epoch": 2.04,
414
+ "learning_rate": 2.5462962962962965e-05,
415
+ "loss": 0.3474,
416
+ "step": 650
417
+ },
418
+ {
419
+ "epoch": 2.05,
420
+ "learning_rate": 2.5e-05,
421
+ "loss": 0.6029,
422
+ "step": 660
423
+ },
424
+ {
425
+ "epoch": 2.06,
426
+ "learning_rate": 2.4537037037037038e-05,
427
+ "loss": 0.2662,
428
+ "step": 670
429
+ },
430
+ {
431
+ "epoch": 2.07,
432
+ "learning_rate": 2.4074074074074074e-05,
433
+ "loss": 0.4279,
434
+ "step": 680
435
+ },
436
+ {
437
+ "epoch": 2.08,
438
+ "learning_rate": 2.361111111111111e-05,
439
+ "loss": 0.5769,
440
+ "step": 690
441
+ },
442
+ {
443
+ "epoch": 2.08,
444
+ "learning_rate": 2.314814814814815e-05,
445
+ "loss": 0.3164,
446
+ "step": 700
447
+ },
448
+ {
449
+ "epoch": 2.09,
450
+ "learning_rate": 2.2685185185185187e-05,
451
+ "loss": 0.1251,
452
+ "step": 710
453
+ },
454
+ {
455
+ "epoch": 2.1,
456
+ "learning_rate": 2.2222222222222223e-05,
457
+ "loss": 0.4308,
458
+ "step": 720
459
+ },
460
+ {
461
+ "epoch": 2.11,
462
+ "learning_rate": 2.175925925925926e-05,
463
+ "loss": 0.302,
464
+ "step": 730
465
+ },
466
+ {
467
+ "epoch": 2.12,
468
+ "learning_rate": 2.1296296296296296e-05,
469
+ "loss": 0.0202,
470
+ "step": 740
471
+ },
472
+ {
473
+ "epoch": 2.12,
474
+ "learning_rate": 2.0833333333333336e-05,
475
+ "loss": 0.2896,
476
+ "step": 750
477
+ },
478
+ {
479
+ "epoch": 2.13,
480
+ "learning_rate": 2.037037037037037e-05,
481
+ "loss": 0.0773,
482
+ "step": 760
483
+ },
484
+ {
485
+ "epoch": 2.14,
486
+ "learning_rate": 1.990740740740741e-05,
487
+ "loss": 0.5031,
488
+ "step": 770
489
+ },
490
+ {
491
+ "epoch": 2.15,
492
+ "learning_rate": 1.9444444444444445e-05,
493
+ "loss": 0.7054,
494
+ "step": 780
495
+ },
496
+ {
497
+ "epoch": 2.16,
498
+ "learning_rate": 1.8981481481481482e-05,
499
+ "loss": 0.2892,
500
+ "step": 790
501
+ },
502
+ {
503
+ "epoch": 2.17,
504
+ "learning_rate": 1.8518518518518518e-05,
505
+ "loss": 0.1131,
506
+ "step": 800
507
+ },
508
+ {
509
+ "epoch": 2.17,
510
+ "learning_rate": 1.8055555555555555e-05,
511
+ "loss": 0.1597,
512
+ "step": 810
513
+ },
514
+ {
515
+ "epoch": 2.18,
516
+ "learning_rate": 1.7592592592592595e-05,
517
+ "loss": 0.2497,
518
+ "step": 820
519
+ },
520
+ {
521
+ "epoch": 2.19,
522
+ "learning_rate": 1.712962962962963e-05,
523
+ "loss": 0.0817,
524
+ "step": 830
525
+ },
526
+ {
527
+ "epoch": 2.2,
528
+ "learning_rate": 1.6666666666666667e-05,
529
+ "loss": 0.197,
530
+ "step": 840
531
+ },
532
+ {
533
+ "epoch": 2.21,
534
+ "learning_rate": 1.6203703703703704e-05,
535
+ "loss": 0.8497,
536
+ "step": 850
537
+ },
538
+ {
539
+ "epoch": 2.22,
540
+ "learning_rate": 1.574074074074074e-05,
541
+ "loss": 0.0724,
542
+ "step": 860
543
+ },
544
+ {
545
+ "epoch": 2.23,
546
+ "learning_rate": 1.527777777777778e-05,
547
+ "loss": 0.0058,
548
+ "step": 870
549
+ },
550
+ {
551
+ "epoch": 2.23,
552
+ "learning_rate": 1.4814814814814815e-05,
553
+ "loss": 0.0142,
554
+ "step": 880
555
+ },
556
+ {
557
+ "epoch": 2.24,
558
+ "learning_rate": 1.4351851851851853e-05,
559
+ "loss": 0.118,
560
+ "step": 890
561
+ },
562
+ {
563
+ "epoch": 2.25,
564
+ "learning_rate": 1.388888888888889e-05,
565
+ "loss": 0.1009,
566
+ "step": 900
567
+ },
568
+ {
569
+ "epoch": 2.25,
570
+ "eval_accuracy": 0.8,
571
+ "eval_loss": 1.079487919807434,
572
+ "eval_runtime": 18.4652,
573
+ "eval_samples_per_second": 3.791,
574
+ "eval_steps_per_second": 3.791,
575
+ "step": 900
576
+ },
577
+ {
578
+ "epoch": 3.01,
579
+ "learning_rate": 1.3425925925925928e-05,
580
+ "loss": 0.0483,
581
+ "step": 910
582
+ },
583
+ {
584
+ "epoch": 3.02,
585
+ "learning_rate": 1.2962962962962962e-05,
586
+ "loss": 0.1076,
587
+ "step": 920
588
+ },
589
+ {
590
+ "epoch": 3.02,
591
+ "learning_rate": 1.25e-05,
592
+ "loss": 0.0188,
593
+ "step": 930
594
+ },
595
+ {
596
+ "epoch": 3.03,
597
+ "learning_rate": 1.2037037037037037e-05,
598
+ "loss": 0.0071,
599
+ "step": 940
600
+ },
601
+ {
602
+ "epoch": 3.04,
603
+ "learning_rate": 1.1574074074074075e-05,
604
+ "loss": 0.2399,
605
+ "step": 950
606
+ },
607
+ {
608
+ "epoch": 3.05,
609
+ "learning_rate": 1.1111111111111112e-05,
610
+ "loss": 0.0063,
611
+ "step": 960
612
+ },
613
+ {
614
+ "epoch": 3.06,
615
+ "learning_rate": 1.0648148148148148e-05,
616
+ "loss": 0.0086,
617
+ "step": 970
618
+ },
619
+ {
620
+ "epoch": 3.07,
621
+ "learning_rate": 1.0185185185185185e-05,
622
+ "loss": 0.0379,
623
+ "step": 980
624
+ },
625
+ {
626
+ "epoch": 3.08,
627
+ "learning_rate": 9.722222222222223e-06,
628
+ "loss": 0.0451,
629
+ "step": 990
630
+ },
631
+ {
632
+ "epoch": 3.08,
633
+ "learning_rate": 9.259259259259259e-06,
634
+ "loss": 0.3293,
635
+ "step": 1000
636
+ },
637
+ {
638
+ "epoch": 3.09,
639
+ "learning_rate": 8.796296296296297e-06,
640
+ "loss": 0.044,
641
+ "step": 1010
642
+ },
643
+ {
644
+ "epoch": 3.1,
645
+ "learning_rate": 8.333333333333334e-06,
646
+ "loss": 0.0096,
647
+ "step": 1020
648
+ },
649
+ {
650
+ "epoch": 3.11,
651
+ "learning_rate": 7.87037037037037e-06,
652
+ "loss": 0.0916,
653
+ "step": 1030
654
+ },
655
+ {
656
+ "epoch": 3.12,
657
+ "learning_rate": 7.4074074074074075e-06,
658
+ "loss": 0.004,
659
+ "step": 1040
660
+ },
661
+ {
662
+ "epoch": 3.12,
663
+ "learning_rate": 6.944444444444445e-06,
664
+ "loss": 0.0324,
665
+ "step": 1050
666
+ },
667
+ {
668
+ "epoch": 3.13,
669
+ "learning_rate": 6.481481481481481e-06,
670
+ "loss": 0.136,
671
+ "step": 1060
672
+ },
673
+ {
674
+ "epoch": 3.14,
675
+ "learning_rate": 6.0185185185185185e-06,
676
+ "loss": 0.3489,
677
+ "step": 1070
678
+ },
679
+ {
680
+ "epoch": 3.15,
681
+ "learning_rate": 5.555555555555556e-06,
682
+ "loss": 0.0357,
683
+ "step": 1080
684
+ },
685
+ {
686
+ "epoch": 3.16,
687
+ "learning_rate": 5.092592592592592e-06,
688
+ "loss": 0.5264,
689
+ "step": 1090
690
+ },
691
+ {
692
+ "epoch": 3.17,
693
+ "learning_rate": 4.6296296296296296e-06,
694
+ "loss": 0.0039,
695
+ "step": 1100
696
+ },
697
+ {
698
+ "epoch": 3.17,
699
+ "learning_rate": 4.166666666666667e-06,
700
+ "loss": 0.3339,
701
+ "step": 1110
702
+ },
703
+ {
704
+ "epoch": 3.18,
705
+ "learning_rate": 3.7037037037037037e-06,
706
+ "loss": 0.109,
707
+ "step": 1120
708
+ },
709
+ {
710
+ "epoch": 3.19,
711
+ "learning_rate": 3.2407407407407406e-06,
712
+ "loss": 0.1037,
713
+ "step": 1130
714
+ },
715
+ {
716
+ "epoch": 3.2,
717
+ "learning_rate": 2.777777777777778e-06,
718
+ "loss": 0.8575,
719
+ "step": 1140
720
+ },
721
+ {
722
+ "epoch": 3.21,
723
+ "learning_rate": 2.3148148148148148e-06,
724
+ "loss": 0.0063,
725
+ "step": 1150
726
+ },
727
+ {
728
+ "epoch": 3.22,
729
+ "learning_rate": 1.8518518518518519e-06,
730
+ "loss": 0.2854,
731
+ "step": 1160
732
+ },
733
+ {
734
+ "epoch": 3.23,
735
+ "learning_rate": 1.388888888888889e-06,
736
+ "loss": 0.0251,
737
+ "step": 1170
738
+ },
739
+ {
740
+ "epoch": 3.23,
741
+ "learning_rate": 9.259259259259259e-07,
742
+ "loss": 0.0538,
743
+ "step": 1180
744
+ },
745
+ {
746
+ "epoch": 3.24,
747
+ "learning_rate": 4.6296296296296297e-07,
748
+ "loss": 0.0049,
749
+ "step": 1190
750
+ },
751
+ {
752
+ "epoch": 3.25,
753
+ "learning_rate": 0.0,
754
+ "loss": 1.2366,
755
+ "step": 1200
756
+ },
757
+ {
758
+ "epoch": 3.25,
759
+ "eval_accuracy": 0.9428571428571428,
760
+ "eval_loss": 0.2547781467437744,
761
+ "eval_runtime": 17.9929,
762
+ "eval_samples_per_second": 3.89,
763
+ "eval_steps_per_second": 3.89,
764
+ "step": 1200
765
+ },
766
+ {
767
+ "epoch": 3.25,
768
+ "step": 1200,
769
+ "total_flos": 1.495384188125184e+18,
770
+ "train_loss": 0.8559361282642931,
771
+ "train_runtime": 879.7592,
772
+ "train_samples_per_second": 1.364,
773
+ "train_steps_per_second": 1.364
774
+ },
775
+ {
776
+ "epoch": 3.25,
777
+ "eval_accuracy": 0.8903225806451613,
778
+ "eval_loss": 0.440502792596817,
779
+ "eval_runtime": 41.6166,
780
+ "eval_samples_per_second": 3.724,
781
+ "eval_steps_per_second": 3.724,
782
+ "step": 1200
783
+ },
784
+ {
785
+ "epoch": 3.25,
786
+ "eval_accuracy": 0.8903225806451613,
787
+ "eval_loss": 0.440502792596817,
788
+ "eval_runtime": 41.2135,
789
+ "eval_samples_per_second": 3.761,
790
+ "eval_steps_per_second": 3.761,
791
+ "step": 1200
792
+ }
793
+ ],
794
+ "max_steps": 1200,
795
+ "num_train_epochs": 9223372036854775807,
796
+ "total_flos": 1.495384188125184e+18,
797
+ "trial_name": null,
798
+ "trial_params": null
799
+ }