Baybars commited on
Commit
af1770e
1 Parent(s): 38c951c

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_cer": 0.2821031799577205,
4
+ "eval_loss": 0.9065462946891785,
5
+ "eval_runtime": 81.1677,
6
+ "eval_samples": 1647,
7
+ "eval_samples_per_second": 20.291,
8
+ "eval_steps_per_second": 2.538,
9
+ "eval_wer": 0.8799918292309263,
10
+ "train_loss": 4.048810622560868,
11
+ "train_runtime": 250.3759,
12
+ "train_samples": 3478,
13
+ "train_samples_per_second": 13.891,
14
+ "train_steps_per_second": 0.435
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_cer": 0.2821031799577205,
4
+ "eval_loss": 0.9065462946891785,
5
+ "eval_runtime": 81.1677,
6
+ "eval_samples": 1647,
7
+ "eval_samples_per_second": 20.291,
8
+ "eval_steps_per_second": 2.538,
9
+ "eval_wer": 0.8799918292309263
10
+ }
runs/Feb01_20-37-49_job-98a7eb1d-c6a6-4e4b-936b-3898557b5e73/events.out.tfevents.1643748701.job-98a7eb1d-c6a6-4e4b-936b-3898557b5e73.156945.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:817933007bf6d9d5a04289b8d731ef5d9910c34dd8dd8fc41742950163d448b9
3
+ size 398
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 4.048810622560868,
4
+ "train_runtime": 250.3759,
5
+ "train_samples": 3478,
6
+ "train_samples_per_second": 13.891,
7
+ "train_steps_per_second": 0.435
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,679 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "global_step": 109,
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": 0.0,
13
+ "loss": 14.822,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 0.0,
19
+ "loss": 15.2906,
20
+ "step": 2
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1e-06,
25
+ "loss": 15.9083,
26
+ "step": 3
27
+ },
28
+ {
29
+ "epoch": 0.04,
30
+ "learning_rate": 2e-06,
31
+ "loss": 15.062,
32
+ "step": 4
33
+ },
34
+ {
35
+ "epoch": 0.05,
36
+ "learning_rate": 3e-06,
37
+ "loss": 14.1132,
38
+ "step": 5
39
+ },
40
+ {
41
+ "epoch": 0.06,
42
+ "learning_rate": 4e-06,
43
+ "loss": 15.2949,
44
+ "step": 6
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "learning_rate": 5e-06,
49
+ "loss": 13.8691,
50
+ "step": 7
51
+ },
52
+ {
53
+ "epoch": 0.07,
54
+ "learning_rate": 6e-06,
55
+ "loss": 13.307,
56
+ "step": 8
57
+ },
58
+ {
59
+ "epoch": 0.08,
60
+ "learning_rate": 6e-06,
61
+ "loss": 12.5476,
62
+ "step": 9
63
+ },
64
+ {
65
+ "epoch": 0.09,
66
+ "learning_rate": 7e-06,
67
+ "loss": 13.2011,
68
+ "step": 10
69
+ },
70
+ {
71
+ "epoch": 0.1,
72
+ "learning_rate": 8e-06,
73
+ "loss": 12.3008,
74
+ "step": 11
75
+ },
76
+ {
77
+ "epoch": 0.11,
78
+ "learning_rate": 9e-06,
79
+ "loss": 11.5046,
80
+ "step": 12
81
+ },
82
+ {
83
+ "epoch": 0.12,
84
+ "learning_rate": 1e-05,
85
+ "loss": 10.6207,
86
+ "step": 13
87
+ },
88
+ {
89
+ "epoch": 0.13,
90
+ "learning_rate": 1.1e-05,
91
+ "loss": 10.1038,
92
+ "step": 14
93
+ },
94
+ {
95
+ "epoch": 0.14,
96
+ "learning_rate": 1.2e-05,
97
+ "loss": 8.8277,
98
+ "step": 15
99
+ },
100
+ {
101
+ "epoch": 0.15,
102
+ "learning_rate": 1.3e-05,
103
+ "loss": 7.8204,
104
+ "step": 16
105
+ },
106
+ {
107
+ "epoch": 0.16,
108
+ "learning_rate": 1.4e-05,
109
+ "loss": 6.3586,
110
+ "step": 17
111
+ },
112
+ {
113
+ "epoch": 0.17,
114
+ "learning_rate": 1.5e-05,
115
+ "loss": 5.6274,
116
+ "step": 18
117
+ },
118
+ {
119
+ "epoch": 0.17,
120
+ "learning_rate": 1.6e-05,
121
+ "loss": 5.6395,
122
+ "step": 19
123
+ },
124
+ {
125
+ "epoch": 0.18,
126
+ "learning_rate": 1.7000000000000003e-05,
127
+ "loss": 5.0595,
128
+ "step": 20
129
+ },
130
+ {
131
+ "epoch": 0.19,
132
+ "learning_rate": 1.8e-05,
133
+ "loss": 5.2143,
134
+ "step": 21
135
+ },
136
+ {
137
+ "epoch": 0.2,
138
+ "learning_rate": 1.9e-05,
139
+ "loss": 5.5995,
140
+ "step": 22
141
+ },
142
+ {
143
+ "epoch": 0.21,
144
+ "learning_rate": 2e-05,
145
+ "loss": 4.9733,
146
+ "step": 23
147
+ },
148
+ {
149
+ "epoch": 0.22,
150
+ "learning_rate": 2.1000000000000002e-05,
151
+ "loss": 4.9453,
152
+ "step": 24
153
+ },
154
+ {
155
+ "epoch": 0.23,
156
+ "learning_rate": 2.2e-05,
157
+ "loss": 4.8826,
158
+ "step": 25
159
+ },
160
+ {
161
+ "epoch": 0.24,
162
+ "learning_rate": 2.3e-05,
163
+ "loss": 4.4724,
164
+ "step": 26
165
+ },
166
+ {
167
+ "epoch": 0.25,
168
+ "learning_rate": 2.4e-05,
169
+ "loss": 3.7938,
170
+ "step": 27
171
+ },
172
+ {
173
+ "epoch": 0.26,
174
+ "learning_rate": 2.5e-05,
175
+ "loss": 3.2653,
176
+ "step": 28
177
+ },
178
+ {
179
+ "epoch": 0.27,
180
+ "learning_rate": 2.6e-05,
181
+ "loss": 3.3843,
182
+ "step": 29
183
+ },
184
+ {
185
+ "epoch": 0.28,
186
+ "learning_rate": 2.7e-05,
187
+ "loss": 3.5122,
188
+ "step": 30
189
+ },
190
+ {
191
+ "epoch": 0.28,
192
+ "learning_rate": 2.8e-05,
193
+ "loss": 3.4207,
194
+ "step": 31
195
+ },
196
+ {
197
+ "epoch": 0.29,
198
+ "learning_rate": 2.9000000000000004e-05,
199
+ "loss": 3.4373,
200
+ "step": 32
201
+ },
202
+ {
203
+ "epoch": 0.3,
204
+ "learning_rate": 3e-05,
205
+ "loss": 3.2939,
206
+ "step": 33
207
+ },
208
+ {
209
+ "epoch": 0.31,
210
+ "learning_rate": 3.1e-05,
211
+ "loss": 3.2784,
212
+ "step": 34
213
+ },
214
+ {
215
+ "epoch": 0.32,
216
+ "learning_rate": 3.2e-05,
217
+ "loss": 3.2101,
218
+ "step": 35
219
+ },
220
+ {
221
+ "epoch": 0.33,
222
+ "learning_rate": 3.3e-05,
223
+ "loss": 3.1498,
224
+ "step": 36
225
+ },
226
+ {
227
+ "epoch": 0.34,
228
+ "learning_rate": 3.4000000000000007e-05,
229
+ "loss": 3.2037,
230
+ "step": 37
231
+ },
232
+ {
233
+ "epoch": 0.35,
234
+ "learning_rate": 3.5000000000000004e-05,
235
+ "loss": 3.1997,
236
+ "step": 38
237
+ },
238
+ {
239
+ "epoch": 0.36,
240
+ "learning_rate": 3.6e-05,
241
+ "loss": 3.1802,
242
+ "step": 39
243
+ },
244
+ {
245
+ "epoch": 0.37,
246
+ "learning_rate": 3.7e-05,
247
+ "loss": 3.1123,
248
+ "step": 40
249
+ },
250
+ {
251
+ "epoch": 0.38,
252
+ "learning_rate": 3.8e-05,
253
+ "loss": 3.1104,
254
+ "step": 41
255
+ },
256
+ {
257
+ "epoch": 0.39,
258
+ "learning_rate": 3.9e-05,
259
+ "loss": 3.1473,
260
+ "step": 42
261
+ },
262
+ {
263
+ "epoch": 0.39,
264
+ "learning_rate": 4e-05,
265
+ "loss": 3.1615,
266
+ "step": 43
267
+ },
268
+ {
269
+ "epoch": 0.4,
270
+ "learning_rate": 4.1e-05,
271
+ "loss": 3.1428,
272
+ "step": 44
273
+ },
274
+ {
275
+ "epoch": 0.41,
276
+ "learning_rate": 4.2000000000000004e-05,
277
+ "loss": 3.0819,
278
+ "step": 45
279
+ },
280
+ {
281
+ "epoch": 0.42,
282
+ "learning_rate": 4.2999999999999995e-05,
283
+ "loss": 3.1113,
284
+ "step": 46
285
+ },
286
+ {
287
+ "epoch": 0.43,
288
+ "learning_rate": 4.4e-05,
289
+ "loss": 3.0946,
290
+ "step": 47
291
+ },
292
+ {
293
+ "epoch": 0.44,
294
+ "learning_rate": 4.4999999999999996e-05,
295
+ "loss": 3.0418,
296
+ "step": 48
297
+ },
298
+ {
299
+ "epoch": 0.45,
300
+ "learning_rate": 4.6e-05,
301
+ "loss": 3.0446,
302
+ "step": 49
303
+ },
304
+ {
305
+ "epoch": 0.46,
306
+ "learning_rate": 4.7000000000000004e-05,
307
+ "loss": 3.0657,
308
+ "step": 50
309
+ },
310
+ {
311
+ "epoch": 0.47,
312
+ "learning_rate": 4.8e-05,
313
+ "loss": 3.079,
314
+ "step": 51
315
+ },
316
+ {
317
+ "epoch": 0.48,
318
+ "learning_rate": 4.9000000000000005e-05,
319
+ "loss": 3.0337,
320
+ "step": 52
321
+ },
322
+ {
323
+ "epoch": 0.49,
324
+ "learning_rate": 5e-05,
325
+ "loss": 2.9961,
326
+ "step": 53
327
+ },
328
+ {
329
+ "epoch": 0.5,
330
+ "learning_rate": 5.1e-05,
331
+ "loss": 3.0675,
332
+ "step": 54
333
+ },
334
+ {
335
+ "epoch": 0.5,
336
+ "learning_rate": 5.2e-05,
337
+ "loss": 3.2045,
338
+ "step": 55
339
+ },
340
+ {
341
+ "epoch": 0.51,
342
+ "learning_rate": 5.3e-05,
343
+ "loss": 3.1336,
344
+ "step": 56
345
+ },
346
+ {
347
+ "epoch": 0.52,
348
+ "learning_rate": 5.4e-05,
349
+ "loss": 2.8979,
350
+ "step": 57
351
+ },
352
+ {
353
+ "epoch": 0.53,
354
+ "learning_rate": 5.5e-05,
355
+ "loss": 3.0432,
356
+ "step": 58
357
+ },
358
+ {
359
+ "epoch": 0.54,
360
+ "learning_rate": 5.6e-05,
361
+ "loss": 3.1173,
362
+ "step": 59
363
+ },
364
+ {
365
+ "epoch": 0.55,
366
+ "learning_rate": 5.7e-05,
367
+ "loss": 2.8984,
368
+ "step": 60
369
+ },
370
+ {
371
+ "epoch": 0.56,
372
+ "learning_rate": 5.800000000000001e-05,
373
+ "loss": 3.0313,
374
+ "step": 61
375
+ },
376
+ {
377
+ "epoch": 0.57,
378
+ "learning_rate": 5.9e-05,
379
+ "loss": 3.0274,
380
+ "step": 62
381
+ },
382
+ {
383
+ "epoch": 0.58,
384
+ "learning_rate": 6e-05,
385
+ "loss": 2.8286,
386
+ "step": 63
387
+ },
388
+ {
389
+ "epoch": 0.59,
390
+ "learning_rate": 6.1e-05,
391
+ "loss": 2.7637,
392
+ "step": 64
393
+ },
394
+ {
395
+ "epoch": 0.6,
396
+ "learning_rate": 6.2e-05,
397
+ "loss": 2.7111,
398
+ "step": 65
399
+ },
400
+ {
401
+ "epoch": 0.61,
402
+ "learning_rate": 6.3e-05,
403
+ "loss": 2.6568,
404
+ "step": 66
405
+ },
406
+ {
407
+ "epoch": 0.61,
408
+ "learning_rate": 6.4e-05,
409
+ "loss": 2.5761,
410
+ "step": 67
411
+ },
412
+ {
413
+ "epoch": 0.62,
414
+ "learning_rate": 6.500000000000001e-05,
415
+ "loss": 2.594,
416
+ "step": 68
417
+ },
418
+ {
419
+ "epoch": 0.63,
420
+ "learning_rate": 6.6e-05,
421
+ "loss": 2.5337,
422
+ "step": 69
423
+ },
424
+ {
425
+ "epoch": 0.64,
426
+ "learning_rate": 6.7e-05,
427
+ "loss": 2.328,
428
+ "step": 70
429
+ },
430
+ {
431
+ "epoch": 0.65,
432
+ "learning_rate": 6.800000000000001e-05,
433
+ "loss": 2.2416,
434
+ "step": 71
435
+ },
436
+ {
437
+ "epoch": 0.66,
438
+ "learning_rate": 6.900000000000001e-05,
439
+ "loss": 2.1625,
440
+ "step": 72
441
+ },
442
+ {
443
+ "epoch": 0.67,
444
+ "learning_rate": 7.000000000000001e-05,
445
+ "loss": 2.0447,
446
+ "step": 73
447
+ },
448
+ {
449
+ "epoch": 0.68,
450
+ "learning_rate": 7.099999999999999e-05,
451
+ "loss": 1.8691,
452
+ "step": 74
453
+ },
454
+ {
455
+ "epoch": 0.69,
456
+ "learning_rate": 7.2e-05,
457
+ "loss": 1.8868,
458
+ "step": 75
459
+ },
460
+ {
461
+ "epoch": 0.7,
462
+ "learning_rate": 7.3e-05,
463
+ "loss": 1.6314,
464
+ "step": 76
465
+ },
466
+ {
467
+ "epoch": 0.71,
468
+ "learning_rate": 7.4e-05,
469
+ "loss": 1.6226,
470
+ "step": 77
471
+ },
472
+ {
473
+ "epoch": 0.72,
474
+ "learning_rate": 7.5e-05,
475
+ "loss": 1.7013,
476
+ "step": 78
477
+ },
478
+ {
479
+ "epoch": 0.72,
480
+ "learning_rate": 7.6e-05,
481
+ "loss": 1.5557,
482
+ "step": 79
483
+ },
484
+ {
485
+ "epoch": 0.73,
486
+ "learning_rate": 7.7e-05,
487
+ "loss": 1.4843,
488
+ "step": 80
489
+ },
490
+ {
491
+ "epoch": 0.74,
492
+ "learning_rate": 7.8e-05,
493
+ "loss": 1.563,
494
+ "step": 81
495
+ },
496
+ {
497
+ "epoch": 0.75,
498
+ "learning_rate": 7.9e-05,
499
+ "loss": 1.3356,
500
+ "step": 82
501
+ },
502
+ {
503
+ "epoch": 0.76,
504
+ "learning_rate": 8e-05,
505
+ "loss": 1.3477,
506
+ "step": 83
507
+ },
508
+ {
509
+ "epoch": 0.77,
510
+ "learning_rate": 8.1e-05,
511
+ "loss": 1.2732,
512
+ "step": 84
513
+ },
514
+ {
515
+ "epoch": 0.78,
516
+ "learning_rate": 8.2e-05,
517
+ "loss": 1.1838,
518
+ "step": 85
519
+ },
520
+ {
521
+ "epoch": 0.79,
522
+ "learning_rate": 8.300000000000001e-05,
523
+ "loss": 1.1471,
524
+ "step": 86
525
+ },
526
+ {
527
+ "epoch": 0.8,
528
+ "learning_rate": 8.400000000000001e-05,
529
+ "loss": 1.0627,
530
+ "step": 87
531
+ },
532
+ {
533
+ "epoch": 0.81,
534
+ "learning_rate": 8.5e-05,
535
+ "loss": 0.9847,
536
+ "step": 88
537
+ },
538
+ {
539
+ "epoch": 0.82,
540
+ "learning_rate": 8.599999999999999e-05,
541
+ "loss": 0.9781,
542
+ "step": 89
543
+ },
544
+ {
545
+ "epoch": 0.83,
546
+ "learning_rate": 8.7e-05,
547
+ "loss": 0.96,
548
+ "step": 90
549
+ },
550
+ {
551
+ "epoch": 0.83,
552
+ "learning_rate": 8.8e-05,
553
+ "loss": 0.9061,
554
+ "step": 91
555
+ },
556
+ {
557
+ "epoch": 0.84,
558
+ "learning_rate": 8.9e-05,
559
+ "loss": 0.9697,
560
+ "step": 92
561
+ },
562
+ {
563
+ "epoch": 0.85,
564
+ "learning_rate": 8.999999999999999e-05,
565
+ "loss": 1.0049,
566
+ "step": 93
567
+ },
568
+ {
569
+ "epoch": 0.86,
570
+ "learning_rate": 9.1e-05,
571
+ "loss": 1.1034,
572
+ "step": 94
573
+ },
574
+ {
575
+ "epoch": 0.87,
576
+ "learning_rate": 9.2e-05,
577
+ "loss": 0.9069,
578
+ "step": 95
579
+ },
580
+ {
581
+ "epoch": 0.88,
582
+ "learning_rate": 9.3e-05,
583
+ "loss": 1.026,
584
+ "step": 96
585
+ },
586
+ {
587
+ "epoch": 0.89,
588
+ "learning_rate": 9.400000000000001e-05,
589
+ "loss": 1.0734,
590
+ "step": 97
591
+ },
592
+ {
593
+ "epoch": 0.9,
594
+ "learning_rate": 9.5e-05,
595
+ "loss": 0.9626,
596
+ "step": 98
597
+ },
598
+ {
599
+ "epoch": 0.91,
600
+ "learning_rate": 9.6e-05,
601
+ "loss": 0.8731,
602
+ "step": 99
603
+ },
604
+ {
605
+ "epoch": 0.92,
606
+ "learning_rate": 9.7e-05,
607
+ "loss": 1.0878,
608
+ "step": 100
609
+ },
610
+ {
611
+ "epoch": 0.93,
612
+ "learning_rate": 9.800000000000001e-05,
613
+ "loss": 0.9423,
614
+ "step": 101
615
+ },
616
+ {
617
+ "epoch": 0.94,
618
+ "learning_rate": 9.900000000000001e-05,
619
+ "loss": 0.9755,
620
+ "step": 102
621
+ },
622
+ {
623
+ "epoch": 0.94,
624
+ "learning_rate": 0.0001,
625
+ "loss": 0.9086,
626
+ "step": 103
627
+ },
628
+ {
629
+ "epoch": 0.95,
630
+ "learning_rate": 0.000101,
631
+ "loss": 0.8551,
632
+ "step": 104
633
+ },
634
+ {
635
+ "epoch": 0.96,
636
+ "learning_rate": 0.000102,
637
+ "loss": 1.0771,
638
+ "step": 105
639
+ },
640
+ {
641
+ "epoch": 0.97,
642
+ "learning_rate": 0.000103,
643
+ "loss": 0.9983,
644
+ "step": 106
645
+ },
646
+ {
647
+ "epoch": 0.98,
648
+ "learning_rate": 0.000104,
649
+ "loss": 0.9869,
650
+ "step": 107
651
+ },
652
+ {
653
+ "epoch": 0.99,
654
+ "learning_rate": 0.000105,
655
+ "loss": 1.1931,
656
+ "step": 108
657
+ },
658
+ {
659
+ "epoch": 1.0,
660
+ "learning_rate": 0.000106,
661
+ "loss": 1.1017,
662
+ "step": 109
663
+ },
664
+ {
665
+ "epoch": 1.0,
666
+ "step": 109,
667
+ "total_flos": 1.3366257233080689e+18,
668
+ "train_loss": 4.048810622560868,
669
+ "train_runtime": 250.3759,
670
+ "train_samples_per_second": 13.891,
671
+ "train_steps_per_second": 0.435
672
+ }
673
+ ],
674
+ "max_steps": 109,
675
+ "num_train_epochs": 1,
676
+ "total_flos": 1.3366257233080689e+18,
677
+ "trial_name": null,
678
+ "trial_params": null
679
+ }