Rishabh Jain commited on
Commit
92fa985
1 Parent(s): 3c4c032

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.01,
3
+ "eval_loss": 0.3786308169364929,
4
+ "eval_runtime": 533.9754,
5
+ "eval_samples_per_second": 4.792,
6
+ "eval_steps_per_second": 0.15,
7
+ "eval_wer": 12.361457422226865,
8
+ "train_loss": 0.17952798489481211,
9
+ "train_runtime": 38488.0043,
10
+ "train_samples_per_second": 4.989,
11
+ "train_steps_per_second": 0.078
12
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.01,
3
+ "eval_loss": 0.3786308169364929,
4
+ "eval_runtime": 533.9754,
5
+ "eval_samples_per_second": 4.792,
6
+ "eval_steps_per_second": 0.15,
7
+ "eval_wer": 12.361457422226865
8
+ }
runs/Feb07_11-49-07_5110e40576ed/events.out.tfevents.1675809972.5110e40576ed.7051.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00b5b2e8a36047d1ed795bddc297718797c3f46199d795e5bdf6906c008be880
3
+ size 358
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.01,
3
+ "train_loss": 0.17952798489481211,
4
+ "train_runtime": 38488.0043,
5
+ "train_samples_per_second": 4.989,
6
+ "train_steps_per_second": 0.078
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,799 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 12.361457422226865,
3
+ "best_model_checkpoint": "./checkpoint-1000",
4
+ "epoch": 13.012,
5
+ "global_step": 3000,
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": 4.6000000000000004e-07,
13
+ "loss": 2.2525,
14
+ "step": 25
15
+ },
16
+ {
17
+ "epoch": 0.02,
18
+ "learning_rate": 9.400000000000001e-07,
19
+ "loss": 1.9074,
20
+ "step": 50
21
+ },
22
+ {
23
+ "epoch": 0.03,
24
+ "learning_rate": 1.44e-06,
25
+ "loss": 1.4407,
26
+ "step": 75
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "learning_rate": 1.94e-06,
31
+ "loss": 0.9036,
32
+ "step": 100
33
+ },
34
+ {
35
+ "epoch": 0.04,
36
+ "learning_rate": 2.4400000000000004e-06,
37
+ "loss": 1.0942,
38
+ "step": 125
39
+ },
40
+ {
41
+ "epoch": 0.05,
42
+ "learning_rate": 2.9400000000000002e-06,
43
+ "loss": 1.1163,
44
+ "step": 150
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "learning_rate": 3.44e-06,
49
+ "loss": 0.7416,
50
+ "step": 175
51
+ },
52
+ {
53
+ "epoch": 0.07,
54
+ "learning_rate": 3.94e-06,
55
+ "loss": 0.7039,
56
+ "step": 200
57
+ },
58
+ {
59
+ "epoch": 0.07,
60
+ "learning_rate": 4.440000000000001e-06,
61
+ "loss": 0.6301,
62
+ "step": 225
63
+ },
64
+ {
65
+ "epoch": 1.01,
66
+ "learning_rate": 4.94e-06,
67
+ "loss": 0.7837,
68
+ "step": 250
69
+ },
70
+ {
71
+ "epoch": 1.02,
72
+ "learning_rate": 5.4400000000000004e-06,
73
+ "loss": 0.5005,
74
+ "step": 275
75
+ },
76
+ {
77
+ "epoch": 1.02,
78
+ "learning_rate": 5.94e-06,
79
+ "loss": 0.3661,
80
+ "step": 300
81
+ },
82
+ {
83
+ "epoch": 1.03,
84
+ "learning_rate": 6.440000000000001e-06,
85
+ "loss": 0.3475,
86
+ "step": 325
87
+ },
88
+ {
89
+ "epoch": 1.04,
90
+ "learning_rate": 6.9400000000000005e-06,
91
+ "loss": 0.2912,
92
+ "step": 350
93
+ },
94
+ {
95
+ "epoch": 1.05,
96
+ "learning_rate": 7.440000000000001e-06,
97
+ "loss": 0.4989,
98
+ "step": 375
99
+ },
100
+ {
101
+ "epoch": 1.06,
102
+ "learning_rate": 7.94e-06,
103
+ "loss": 0.2618,
104
+ "step": 400
105
+ },
106
+ {
107
+ "epoch": 1.07,
108
+ "learning_rate": 8.44e-06,
109
+ "loss": 0.2507,
110
+ "step": 425
111
+ },
112
+ {
113
+ "epoch": 1.07,
114
+ "learning_rate": 8.94e-06,
115
+ "loss": 0.3651,
116
+ "step": 450
117
+ },
118
+ {
119
+ "epoch": 2.01,
120
+ "learning_rate": 9.440000000000001e-06,
121
+ "loss": 0.2203,
122
+ "step": 475
123
+ },
124
+ {
125
+ "epoch": 2.01,
126
+ "learning_rate": 9.940000000000001e-06,
127
+ "loss": 0.1886,
128
+ "step": 500
129
+ },
130
+ {
131
+ "epoch": 2.01,
132
+ "eval_loss": 0.36212778091430664,
133
+ "eval_runtime": 442.4584,
134
+ "eval_samples_per_second": 5.784,
135
+ "eval_steps_per_second": 0.181,
136
+ "eval_wer": 11.997232412109502,
137
+ "step": 500
138
+ },
139
+ {
140
+ "epoch": 2.02,
141
+ "learning_rate": 9.912000000000001e-06,
142
+ "loss": 0.1614,
143
+ "step": 525
144
+ },
145
+ {
146
+ "epoch": 2.03,
147
+ "learning_rate": 9.812e-06,
148
+ "loss": 0.1866,
149
+ "step": 550
150
+ },
151
+ {
152
+ "epoch": 2.04,
153
+ "learning_rate": 9.712e-06,
154
+ "loss": 0.2434,
155
+ "step": 575
156
+ },
157
+ {
158
+ "epoch": 2.05,
159
+ "learning_rate": 9.612000000000002e-06,
160
+ "loss": 0.3595,
161
+ "step": 600
162
+ },
163
+ {
164
+ "epoch": 2.06,
165
+ "learning_rate": 9.512000000000001e-06,
166
+ "loss": 0.3434,
167
+ "step": 625
168
+ },
169
+ {
170
+ "epoch": 2.06,
171
+ "learning_rate": 9.412e-06,
172
+ "loss": 0.3429,
173
+ "step": 650
174
+ },
175
+ {
176
+ "epoch": 2.07,
177
+ "learning_rate": 9.312000000000002e-06,
178
+ "loss": 0.2233,
179
+ "step": 675
180
+ },
181
+ {
182
+ "epoch": 3.01,
183
+ "learning_rate": 9.212000000000001e-06,
184
+ "loss": 0.1943,
185
+ "step": 700
186
+ },
187
+ {
188
+ "epoch": 3.01,
189
+ "learning_rate": 9.112e-06,
190
+ "loss": 0.255,
191
+ "step": 725
192
+ },
193
+ {
194
+ "epoch": 3.02,
195
+ "learning_rate": 9.012000000000001e-06,
196
+ "loss": 0.1173,
197
+ "step": 750
198
+ },
199
+ {
200
+ "epoch": 3.03,
201
+ "learning_rate": 8.912e-06,
202
+ "loss": 0.133,
203
+ "step": 775
204
+ },
205
+ {
206
+ "epoch": 3.04,
207
+ "learning_rate": 8.812000000000001e-06,
208
+ "loss": 0.0991,
209
+ "step": 800
210
+ },
211
+ {
212
+ "epoch": 3.05,
213
+ "learning_rate": 8.712e-06,
214
+ "loss": 0.1382,
215
+ "step": 825
216
+ },
217
+ {
218
+ "epoch": 3.06,
219
+ "learning_rate": 8.612e-06,
220
+ "loss": 0.1949,
221
+ "step": 850
222
+ },
223
+ {
224
+ "epoch": 3.06,
225
+ "learning_rate": 8.512e-06,
226
+ "loss": 0.272,
227
+ "step": 875
228
+ },
229
+ {
230
+ "epoch": 3.07,
231
+ "learning_rate": 8.412e-06,
232
+ "loss": 0.1639,
233
+ "step": 900
234
+ },
235
+ {
236
+ "epoch": 4.0,
237
+ "learning_rate": 8.312000000000001e-06,
238
+ "loss": 0.1378,
239
+ "step": 925
240
+ },
241
+ {
242
+ "epoch": 4.01,
243
+ "learning_rate": 8.212e-06,
244
+ "loss": 0.0636,
245
+ "step": 950
246
+ },
247
+ {
248
+ "epoch": 4.02,
249
+ "learning_rate": 8.112000000000001e-06,
250
+ "loss": 0.099,
251
+ "step": 975
252
+ },
253
+ {
254
+ "epoch": 4.03,
255
+ "learning_rate": 8.012e-06,
256
+ "loss": 0.187,
257
+ "step": 1000
258
+ },
259
+ {
260
+ "epoch": 4.03,
261
+ "eval_loss": 0.3786308169364929,
262
+ "eval_runtime": 447.1416,
263
+ "eval_samples_per_second": 5.723,
264
+ "eval_steps_per_second": 0.179,
265
+ "eval_wer": 12.361457422226865,
266
+ "step": 1000
267
+ },
268
+ {
269
+ "epoch": 4.04,
270
+ "learning_rate": 7.912000000000001e-06,
271
+ "loss": 0.2418,
272
+ "step": 1025
273
+ },
274
+ {
275
+ "epoch": 4.05,
276
+ "learning_rate": 7.812e-06,
277
+ "loss": 0.1562,
278
+ "step": 1050
279
+ },
280
+ {
281
+ "epoch": 4.05,
282
+ "learning_rate": 7.712e-06,
283
+ "loss": 0.0962,
284
+ "step": 1075
285
+ },
286
+ {
287
+ "epoch": 4.06,
288
+ "learning_rate": 7.612e-06,
289
+ "loss": 0.0856,
290
+ "step": 1100
291
+ },
292
+ {
293
+ "epoch": 4.07,
294
+ "learning_rate": 7.512e-06,
295
+ "loss": 0.1057,
296
+ "step": 1125
297
+ },
298
+ {
299
+ "epoch": 5.0,
300
+ "learning_rate": 7.412e-06,
301
+ "loss": 0.0839,
302
+ "step": 1150
303
+ },
304
+ {
305
+ "epoch": 5.01,
306
+ "learning_rate": 7.3120000000000005e-06,
307
+ "loss": 0.0567,
308
+ "step": 1175
309
+ },
310
+ {
311
+ "epoch": 5.02,
312
+ "learning_rate": 7.212e-06,
313
+ "loss": 0.1323,
314
+ "step": 1200
315
+ },
316
+ {
317
+ "epoch": 5.03,
318
+ "learning_rate": 7.1120000000000015e-06,
319
+ "loss": 0.0973,
320
+ "step": 1225
321
+ },
322
+ {
323
+ "epoch": 5.04,
324
+ "learning_rate": 7.012000000000001e-06,
325
+ "loss": 0.1396,
326
+ "step": 1250
327
+ },
328
+ {
329
+ "epoch": 5.04,
330
+ "learning_rate": 6.912000000000001e-06,
331
+ "loss": 0.1016,
332
+ "step": 1275
333
+ },
334
+ {
335
+ "epoch": 5.05,
336
+ "learning_rate": 6.812000000000001e-06,
337
+ "loss": 0.0617,
338
+ "step": 1300
339
+ },
340
+ {
341
+ "epoch": 5.06,
342
+ "learning_rate": 6.712000000000001e-06,
343
+ "loss": 0.0431,
344
+ "step": 1325
345
+ },
346
+ {
347
+ "epoch": 5.07,
348
+ "learning_rate": 6.612e-06,
349
+ "loss": 0.0489,
350
+ "step": 1350
351
+ },
352
+ {
353
+ "epoch": 6.0,
354
+ "learning_rate": 6.5120000000000005e-06,
355
+ "loss": 0.085,
356
+ "step": 1375
357
+ },
358
+ {
359
+ "epoch": 6.01,
360
+ "learning_rate": 6.412000000000001e-06,
361
+ "loss": 0.0573,
362
+ "step": 1400
363
+ },
364
+ {
365
+ "epoch": 6.02,
366
+ "learning_rate": 6.312000000000001e-06,
367
+ "loss": 0.0385,
368
+ "step": 1425
369
+ },
370
+ {
371
+ "epoch": 6.03,
372
+ "learning_rate": 6.212e-06,
373
+ "loss": 0.0348,
374
+ "step": 1450
375
+ },
376
+ {
377
+ "epoch": 6.04,
378
+ "learning_rate": 6.112e-06,
379
+ "loss": 0.0282,
380
+ "step": 1475
381
+ },
382
+ {
383
+ "epoch": 6.04,
384
+ "learning_rate": 6.012e-06,
385
+ "loss": 0.0285,
386
+ "step": 1500
387
+ },
388
+ {
389
+ "epoch": 6.04,
390
+ "eval_loss": 0.4436163902282715,
391
+ "eval_runtime": 560.6152,
392
+ "eval_samples_per_second": 4.565,
393
+ "eval_steps_per_second": 0.143,
394
+ "eval_wer": 12.595135833735851,
395
+ "step": 1500
396
+ },
397
+ {
398
+ "epoch": 6.05,
399
+ "learning_rate": 5.912e-06,
400
+ "loss": 0.1004,
401
+ "step": 1525
402
+ },
403
+ {
404
+ "epoch": 6.06,
405
+ "learning_rate": 5.812000000000001e-06,
406
+ "loss": 0.0921,
407
+ "step": 1550
408
+ },
409
+ {
410
+ "epoch": 6.07,
411
+ "learning_rate": 5.7120000000000005e-06,
412
+ "loss": 0.0294,
413
+ "step": 1575
414
+ },
415
+ {
416
+ "epoch": 7.0,
417
+ "learning_rate": 5.612000000000001e-06,
418
+ "loss": 0.0263,
419
+ "step": 1600
420
+ },
421
+ {
422
+ "epoch": 7.01,
423
+ "learning_rate": 5.512000000000001e-06,
424
+ "loss": 0.017,
425
+ "step": 1625
426
+ },
427
+ {
428
+ "epoch": 7.02,
429
+ "learning_rate": 5.412000000000001e-06,
430
+ "loss": 0.0637,
431
+ "step": 1650
432
+ },
433
+ {
434
+ "epoch": 7.03,
435
+ "learning_rate": 5.312e-06,
436
+ "loss": 0.0308,
437
+ "step": 1675
438
+ },
439
+ {
440
+ "epoch": 7.03,
441
+ "learning_rate": 5.212e-06,
442
+ "loss": 0.0465,
443
+ "step": 1700
444
+ },
445
+ {
446
+ "epoch": 7.04,
447
+ "learning_rate": 5.112e-06,
448
+ "loss": 0.0616,
449
+ "step": 1725
450
+ },
451
+ {
452
+ "epoch": 7.05,
453
+ "learning_rate": 5.0120000000000005e-06,
454
+ "loss": 0.0251,
455
+ "step": 1750
456
+ },
457
+ {
458
+ "epoch": 7.06,
459
+ "learning_rate": 4.9120000000000006e-06,
460
+ "loss": 0.016,
461
+ "step": 1775
462
+ },
463
+ {
464
+ "epoch": 7.07,
465
+ "learning_rate": 4.812000000000001e-06,
466
+ "loss": 0.0183,
467
+ "step": 1800
468
+ },
469
+ {
470
+ "epoch": 8.0,
471
+ "learning_rate": 4.712000000000001e-06,
472
+ "loss": 0.0182,
473
+ "step": 1825
474
+ },
475
+ {
476
+ "epoch": 8.01,
477
+ "learning_rate": 4.612e-06,
478
+ "loss": 0.0219,
479
+ "step": 1850
480
+ },
481
+ {
482
+ "epoch": 8.02,
483
+ "learning_rate": 4.512e-06,
484
+ "loss": 0.0153,
485
+ "step": 1875
486
+ },
487
+ {
488
+ "epoch": 8.03,
489
+ "learning_rate": 4.412e-06,
490
+ "loss": 0.0126,
491
+ "step": 1900
492
+ },
493
+ {
494
+ "epoch": 8.03,
495
+ "learning_rate": 4.312e-06,
496
+ "loss": 0.0228,
497
+ "step": 1925
498
+ },
499
+ {
500
+ "epoch": 8.04,
501
+ "learning_rate": 4.2120000000000005e-06,
502
+ "loss": 0.043,
503
+ "step": 1950
504
+ },
505
+ {
506
+ "epoch": 8.05,
507
+ "learning_rate": 4.112000000000001e-06,
508
+ "loss": 0.0153,
509
+ "step": 1975
510
+ },
511
+ {
512
+ "epoch": 8.06,
513
+ "learning_rate": 4.012000000000001e-06,
514
+ "loss": 0.0319,
515
+ "step": 2000
516
+ },
517
+ {
518
+ "epoch": 8.06,
519
+ "eval_loss": 0.5057264566421509,
520
+ "eval_runtime": 546.7668,
521
+ "eval_samples_per_second": 4.68,
522
+ "eval_steps_per_second": 0.146,
523
+ "eval_wer": 12.826203313272671,
524
+ "step": 2000
525
+ },
526
+ {
527
+ "epoch": 8.07,
528
+ "learning_rate": 3.912e-06,
529
+ "loss": 0.0151,
530
+ "step": 2025
531
+ },
532
+ {
533
+ "epoch": 8.08,
534
+ "learning_rate": 3.812e-06,
535
+ "loss": 0.0105,
536
+ "step": 2050
537
+ },
538
+ {
539
+ "epoch": 9.01,
540
+ "learning_rate": 3.712e-06,
541
+ "loss": 0.0069,
542
+ "step": 2075
543
+ },
544
+ {
545
+ "epoch": 9.02,
546
+ "learning_rate": 3.6120000000000003e-06,
547
+ "loss": 0.0068,
548
+ "step": 2100
549
+ },
550
+ {
551
+ "epoch": 9.02,
552
+ "learning_rate": 3.5120000000000004e-06,
553
+ "loss": 0.0124,
554
+ "step": 2125
555
+ },
556
+ {
557
+ "epoch": 9.03,
558
+ "learning_rate": 3.412e-06,
559
+ "loss": 0.0343,
560
+ "step": 2150
561
+ },
562
+ {
563
+ "epoch": 9.04,
564
+ "learning_rate": 3.3120000000000002e-06,
565
+ "loss": 0.0123,
566
+ "step": 2175
567
+ },
568
+ {
569
+ "epoch": 9.05,
570
+ "learning_rate": 3.212e-06,
571
+ "loss": 0.0219,
572
+ "step": 2200
573
+ },
574
+ {
575
+ "epoch": 9.06,
576
+ "learning_rate": 3.112e-06,
577
+ "loss": 0.0065,
578
+ "step": 2225
579
+ },
580
+ {
581
+ "epoch": 9.07,
582
+ "learning_rate": 3.0120000000000006e-06,
583
+ "loss": 0.0052,
584
+ "step": 2250
585
+ },
586
+ {
587
+ "epoch": 9.07,
588
+ "learning_rate": 2.9120000000000002e-06,
589
+ "loss": 0.0079,
590
+ "step": 2275
591
+ },
592
+ {
593
+ "epoch": 10.01,
594
+ "learning_rate": 2.8120000000000004e-06,
595
+ "loss": 0.0046,
596
+ "step": 2300
597
+ },
598
+ {
599
+ "epoch": 10.02,
600
+ "learning_rate": 2.712e-06,
601
+ "loss": 0.0112,
602
+ "step": 2325
603
+ },
604
+ {
605
+ "epoch": 10.02,
606
+ "learning_rate": 2.612e-06,
607
+ "loss": 0.0065,
608
+ "step": 2350
609
+ },
610
+ {
611
+ "epoch": 10.03,
612
+ "learning_rate": 2.512e-06,
613
+ "loss": 0.0182,
614
+ "step": 2375
615
+ },
616
+ {
617
+ "epoch": 10.04,
618
+ "learning_rate": 2.4120000000000004e-06,
619
+ "loss": 0.0093,
620
+ "step": 2400
621
+ },
622
+ {
623
+ "epoch": 10.05,
624
+ "learning_rate": 2.312e-06,
625
+ "loss": 0.0107,
626
+ "step": 2425
627
+ },
628
+ {
629
+ "epoch": 10.06,
630
+ "learning_rate": 2.212e-06,
631
+ "loss": 0.0063,
632
+ "step": 2450
633
+ },
634
+ {
635
+ "epoch": 10.06,
636
+ "learning_rate": 2.1120000000000003e-06,
637
+ "loss": 0.0048,
638
+ "step": 2475
639
+ },
640
+ {
641
+ "epoch": 10.07,
642
+ "learning_rate": 2.012e-06,
643
+ "loss": 0.0044,
644
+ "step": 2500
645
+ },
646
+ {
647
+ "epoch": 10.07,
648
+ "eval_loss": 0.5620025396347046,
649
+ "eval_runtime": 564.8934,
650
+ "eval_samples_per_second": 4.53,
651
+ "eval_steps_per_second": 0.142,
652
+ "eval_wer": 13.123849558099765,
653
+ "step": 2500
654
+ },
655
+ {
656
+ "epoch": 11.01,
657
+ "learning_rate": 1.912e-06,
658
+ "loss": 0.0104,
659
+ "step": 2525
660
+ },
661
+ {
662
+ "epoch": 11.01,
663
+ "learning_rate": 1.8120000000000002e-06,
664
+ "loss": 0.0044,
665
+ "step": 2550
666
+ },
667
+ {
668
+ "epoch": 11.02,
669
+ "learning_rate": 1.712e-06,
670
+ "loss": 0.0036,
671
+ "step": 2575
672
+ },
673
+ {
674
+ "epoch": 11.03,
675
+ "learning_rate": 1.6120000000000002e-06,
676
+ "loss": 0.0067,
677
+ "step": 2600
678
+ },
679
+ {
680
+ "epoch": 11.04,
681
+ "learning_rate": 1.512e-06,
682
+ "loss": 0.0056,
683
+ "step": 2625
684
+ },
685
+ {
686
+ "epoch": 11.05,
687
+ "learning_rate": 1.412e-06,
688
+ "loss": 0.0033,
689
+ "step": 2650
690
+ },
691
+ {
692
+ "epoch": 11.06,
693
+ "learning_rate": 1.3120000000000003e-06,
694
+ "loss": 0.0038,
695
+ "step": 2675
696
+ },
697
+ {
698
+ "epoch": 11.06,
699
+ "learning_rate": 1.2120000000000002e-06,
700
+ "loss": 0.0037,
701
+ "step": 2700
702
+ },
703
+ {
704
+ "epoch": 11.07,
705
+ "learning_rate": 1.1120000000000001e-06,
706
+ "loss": 0.0154,
707
+ "step": 2725
708
+ },
709
+ {
710
+ "epoch": 12.0,
711
+ "learning_rate": 1.012e-06,
712
+ "loss": 0.0056,
713
+ "step": 2750
714
+ },
715
+ {
716
+ "epoch": 12.01,
717
+ "learning_rate": 9.120000000000001e-07,
718
+ "loss": 0.0078,
719
+ "step": 2775
720
+ },
721
+ {
722
+ "epoch": 12.02,
723
+ "learning_rate": 8.12e-07,
724
+ "loss": 0.0085,
725
+ "step": 2800
726
+ },
727
+ {
728
+ "epoch": 12.03,
729
+ "learning_rate": 7.12e-07,
730
+ "loss": 0.0049,
731
+ "step": 2825
732
+ },
733
+ {
734
+ "epoch": 12.04,
735
+ "learning_rate": 6.12e-07,
736
+ "loss": 0.0031,
737
+ "step": 2850
738
+ },
739
+ {
740
+ "epoch": 12.05,
741
+ "learning_rate": 5.12e-07,
742
+ "loss": 0.003,
743
+ "step": 2875
744
+ },
745
+ {
746
+ "epoch": 12.05,
747
+ "learning_rate": 4.1200000000000004e-07,
748
+ "loss": 0.0034,
749
+ "step": 2900
750
+ },
751
+ {
752
+ "epoch": 12.06,
753
+ "learning_rate": 3.12e-07,
754
+ "loss": 0.0099,
755
+ "step": 2925
756
+ },
757
+ {
758
+ "epoch": 12.07,
759
+ "learning_rate": 2.1200000000000002e-07,
760
+ "loss": 0.0045,
761
+ "step": 2950
762
+ },
763
+ {
764
+ "epoch": 13.0,
765
+ "learning_rate": 1.1200000000000001e-07,
766
+ "loss": 0.0033,
767
+ "step": 2975
768
+ },
769
+ {
770
+ "epoch": 13.01,
771
+ "learning_rate": 1.2e-08,
772
+ "loss": 0.0054,
773
+ "step": 3000
774
+ },
775
+ {
776
+ "epoch": 13.01,
777
+ "eval_loss": 0.5805584192276001,
778
+ "eval_runtime": 543.2649,
779
+ "eval_samples_per_second": 4.71,
780
+ "eval_steps_per_second": 0.147,
781
+ "eval_wer": 12.980248299630553,
782
+ "step": 3000
783
+ },
784
+ {
785
+ "epoch": 13.01,
786
+ "step": 3000,
787
+ "total_flos": 5.528084211449856e+19,
788
+ "train_loss": 0.17952798489481211,
789
+ "train_runtime": 38488.0043,
790
+ "train_samples_per_second": 4.989,
791
+ "train_steps_per_second": 0.078
792
+ }
793
+ ],
794
+ "max_steps": 3000,
795
+ "num_train_epochs": 9223372036854775807,
796
+ "total_flos": 5.528084211449856e+19,
797
+ "trial_name": null,
798
+ "trial_params": null
799
+ }