khaingsmon commited on
Commit
4288260
1 Parent(s): 542f2cb

cheers again

Browse files
Files changed (2) hide show
  1. README.md +1 -1
  2. trainer_state.json +720 -0
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # whisper3
17
 
18
- This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.5509
21
  - Wer: 26.9488
 
15
 
16
  # whisper3
17
 
18
+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the tiny dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.5509
21
  - Wer: 26.9488
trainer_state.json ADDED
@@ -0,0 +1,720 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 23.35348393254852,
3
+ "best_model_checkpoint": "whisper3/checkpoint-240",
4
+ "epoch": 8.333333333333334,
5
+ "eval_steps": 10,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1388888888888889,
13
+ "grad_norm": 46.06148147583008,
14
+ "learning_rate": 1.0000000000000002e-06,
15
+ "loss": 3.9402,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.2777777777777778,
20
+ "grad_norm": 43.4765625,
21
+ "learning_rate": 2.0000000000000003e-06,
22
+ "loss": 3.8281,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.2777777777777778,
27
+ "eval_loss": 3.7929115295410156,
28
+ "eval_runtime": 253.0403,
29
+ "eval_samples_per_second": 1.976,
30
+ "eval_steps_per_second": 0.249,
31
+ "eval_wer": 80.40089086859689,
32
+ "step": 10
33
+ },
34
+ {
35
+ "epoch": 0.4166666666666667,
36
+ "grad_norm": 40.57815933227539,
37
+ "learning_rate": 3e-06,
38
+ "loss": 3.5929,
39
+ "step": 15
40
+ },
41
+ {
42
+ "epoch": 0.5555555555555556,
43
+ "grad_norm": 39.72583770751953,
44
+ "learning_rate": 4.000000000000001e-06,
45
+ "loss": 3.209,
46
+ "step": 20
47
+ },
48
+ {
49
+ "epoch": 0.5555555555555556,
50
+ "eval_loss": 3.0014312267303467,
51
+ "eval_runtime": 246.2101,
52
+ "eval_samples_per_second": 2.031,
53
+ "eval_steps_per_second": 0.256,
54
+ "eval_wer": 68.37416481069042,
55
+ "step": 20
56
+ },
57
+ {
58
+ "epoch": 0.6944444444444444,
59
+ "grad_norm": 39.53627395629883,
60
+ "learning_rate": 5e-06,
61
+ "loss": 2.7486,
62
+ "step": 25
63
+ },
64
+ {
65
+ "epoch": 0.8333333333333334,
66
+ "grad_norm": 30.079750061035156,
67
+ "learning_rate": 6e-06,
68
+ "loss": 2.1066,
69
+ "step": 30
70
+ },
71
+ {
72
+ "epoch": 0.8333333333333334,
73
+ "eval_loss": 1.761271595954895,
74
+ "eval_runtime": 245.5315,
75
+ "eval_samples_per_second": 2.036,
76
+ "eval_steps_per_second": 0.257,
77
+ "eval_wer": 63.91982182628062,
78
+ "step": 30
79
+ },
80
+ {
81
+ "epoch": 0.9722222222222222,
82
+ "grad_norm": 19.831071853637695,
83
+ "learning_rate": 7.000000000000001e-06,
84
+ "loss": 1.5134,
85
+ "step": 35
86
+ },
87
+ {
88
+ "epoch": 1.1111111111111112,
89
+ "grad_norm": 9.755999565124512,
90
+ "learning_rate": 8.000000000000001e-06,
91
+ "loss": 0.9963,
92
+ "step": 40
93
+ },
94
+ {
95
+ "epoch": 1.1111111111111112,
96
+ "eval_loss": 0.8740884065628052,
97
+ "eval_runtime": 246.6146,
98
+ "eval_samples_per_second": 2.027,
99
+ "eval_steps_per_second": 0.255,
100
+ "eval_wer": 52.43398027362392,
101
+ "step": 40
102
+ },
103
+ {
104
+ "epoch": 1.25,
105
+ "grad_norm": 6.842897891998291,
106
+ "learning_rate": 9e-06,
107
+ "loss": 0.786,
108
+ "step": 45
109
+ },
110
+ {
111
+ "epoch": 1.3888888888888888,
112
+ "grad_norm": 5.720729351043701,
113
+ "learning_rate": 1e-05,
114
+ "loss": 0.6922,
115
+ "step": 50
116
+ },
117
+ {
118
+ "epoch": 1.3888888888888888,
119
+ "eval_loss": 0.7008740901947021,
120
+ "eval_runtime": 245.5713,
121
+ "eval_samples_per_second": 2.036,
122
+ "eval_steps_per_second": 0.257,
123
+ "eval_wer": 35.82564428889596,
124
+ "step": 50
125
+ },
126
+ {
127
+ "epoch": 1.5277777777777777,
128
+ "grad_norm": 4.806775093078613,
129
+ "learning_rate": 1.1000000000000001e-05,
130
+ "loss": 0.6427,
131
+ "step": 55
132
+ },
133
+ {
134
+ "epoch": 1.6666666666666665,
135
+ "grad_norm": 5.128376483917236,
136
+ "learning_rate": 1.2e-05,
137
+ "loss": 0.5816,
138
+ "step": 60
139
+ },
140
+ {
141
+ "epoch": 1.6666666666666665,
142
+ "eval_loss": 0.6238442659378052,
143
+ "eval_runtime": 245.679,
144
+ "eval_samples_per_second": 2.035,
145
+ "eval_steps_per_second": 0.256,
146
+ "eval_wer": 31.148584155265667,
147
+ "step": 60
148
+ },
149
+ {
150
+ "epoch": 1.8055555555555556,
151
+ "grad_norm": 4.993675231933594,
152
+ "learning_rate": 1.3000000000000001e-05,
153
+ "loss": 0.5805,
154
+ "step": 65
155
+ },
156
+ {
157
+ "epoch": 1.9444444444444444,
158
+ "grad_norm": 4.856825351715088,
159
+ "learning_rate": 1.4000000000000001e-05,
160
+ "loss": 0.5684,
161
+ "step": 70
162
+ },
163
+ {
164
+ "epoch": 1.9444444444444444,
165
+ "eval_loss": 0.5697694420814514,
166
+ "eval_runtime": 245.5413,
167
+ "eval_samples_per_second": 2.036,
168
+ "eval_steps_per_second": 0.257,
169
+ "eval_wer": 35.47566019726376,
170
+ "step": 70
171
+ },
172
+ {
173
+ "epoch": 2.0833333333333335,
174
+ "grad_norm": 4.464582443237305,
175
+ "learning_rate": 1.5e-05,
176
+ "loss": 0.4534,
177
+ "step": 75
178
+ },
179
+ {
180
+ "epoch": 2.2222222222222223,
181
+ "grad_norm": 4.251033306121826,
182
+ "learning_rate": 1.6000000000000003e-05,
183
+ "loss": 0.427,
184
+ "step": 80
185
+ },
186
+ {
187
+ "epoch": 2.2222222222222223,
188
+ "eval_loss": 0.5380394458770752,
189
+ "eval_runtime": 244.4819,
190
+ "eval_samples_per_second": 2.045,
191
+ "eval_steps_per_second": 0.258,
192
+ "eval_wer": 27.266942411708563,
193
+ "step": 80
194
+ },
195
+ {
196
+ "epoch": 2.361111111111111,
197
+ "grad_norm": 4.489510536193848,
198
+ "learning_rate": 1.7000000000000003e-05,
199
+ "loss": 0.3929,
200
+ "step": 85
201
+ },
202
+ {
203
+ "epoch": 2.5,
204
+ "grad_norm": 4.552371025085449,
205
+ "learning_rate": 1.8e-05,
206
+ "loss": 0.4395,
207
+ "step": 90
208
+ },
209
+ {
210
+ "epoch": 2.5,
211
+ "eval_loss": 0.5162410140037537,
212
+ "eval_runtime": 245.2373,
213
+ "eval_samples_per_second": 2.039,
214
+ "eval_steps_per_second": 0.257,
215
+ "eval_wer": 32.73942093541203,
216
+ "step": 90
217
+ },
218
+ {
219
+ "epoch": 2.638888888888889,
220
+ "grad_norm": 4.691618919372559,
221
+ "learning_rate": 1.9e-05,
222
+ "loss": 0.3825,
223
+ "step": 95
224
+ },
225
+ {
226
+ "epoch": 2.7777777777777777,
227
+ "grad_norm": 4.219367027282715,
228
+ "learning_rate": 2e-05,
229
+ "loss": 0.3861,
230
+ "step": 100
231
+ },
232
+ {
233
+ "epoch": 2.7777777777777777,
234
+ "eval_loss": 0.495292991399765,
235
+ "eval_runtime": 243.4193,
236
+ "eval_samples_per_second": 2.054,
237
+ "eval_steps_per_second": 0.259,
238
+ "eval_wer": 24.530703149856826,
239
+ "step": 100
240
+ },
241
+ {
242
+ "epoch": 2.9166666666666665,
243
+ "grad_norm": 4.323045253753662,
244
+ "learning_rate": 2.1e-05,
245
+ "loss": 0.3669,
246
+ "step": 105
247
+ },
248
+ {
249
+ "epoch": 3.0555555555555554,
250
+ "grad_norm": 3.2159509658813477,
251
+ "learning_rate": 2.2000000000000003e-05,
252
+ "loss": 0.3745,
253
+ "step": 110
254
+ },
255
+ {
256
+ "epoch": 3.0555555555555554,
257
+ "eval_loss": 0.4837464392185211,
258
+ "eval_runtime": 244.5759,
259
+ "eval_samples_per_second": 2.044,
260
+ "eval_steps_per_second": 0.258,
261
+ "eval_wer": 24.626153356665608,
262
+ "step": 110
263
+ },
264
+ {
265
+ "epoch": 3.1944444444444446,
266
+ "grad_norm": 3.675457000732422,
267
+ "learning_rate": 2.3000000000000003e-05,
268
+ "loss": 0.257,
269
+ "step": 115
270
+ },
271
+ {
272
+ "epoch": 3.3333333333333335,
273
+ "grad_norm": 2.8939876556396484,
274
+ "learning_rate": 2.4e-05,
275
+ "loss": 0.2487,
276
+ "step": 120
277
+ },
278
+ {
279
+ "epoch": 3.3333333333333335,
280
+ "eval_loss": 0.4732927978038788,
281
+ "eval_runtime": 244.6891,
282
+ "eval_samples_per_second": 2.043,
283
+ "eval_steps_per_second": 0.257,
284
+ "eval_wer": 23.57620108176901,
285
+ "step": 120
286
+ },
287
+ {
288
+ "epoch": 3.4722222222222223,
289
+ "grad_norm": 3.4589827060699463,
290
+ "learning_rate": 2.5e-05,
291
+ "loss": 0.253,
292
+ "step": 125
293
+ },
294
+ {
295
+ "epoch": 3.611111111111111,
296
+ "grad_norm": 3.1798577308654785,
297
+ "learning_rate": 2.6000000000000002e-05,
298
+ "loss": 0.2343,
299
+ "step": 130
300
+ },
301
+ {
302
+ "epoch": 3.611111111111111,
303
+ "eval_loss": 0.46519017219543457,
304
+ "eval_runtime": 244.3925,
305
+ "eval_samples_per_second": 2.046,
306
+ "eval_steps_per_second": 0.258,
307
+ "eval_wer": 24.94432071269488,
308
+ "step": 130
309
+ },
310
+ {
311
+ "epoch": 3.75,
312
+ "grad_norm": 4.061887741088867,
313
+ "learning_rate": 2.7000000000000002e-05,
314
+ "loss": 0.2354,
315
+ "step": 135
316
+ },
317
+ {
318
+ "epoch": 3.888888888888889,
319
+ "grad_norm": 4.474591255187988,
320
+ "learning_rate": 2.8000000000000003e-05,
321
+ "loss": 0.2429,
322
+ "step": 140
323
+ },
324
+ {
325
+ "epoch": 3.888888888888889,
326
+ "eval_loss": 0.4581267833709717,
327
+ "eval_runtime": 244.836,
328
+ "eval_samples_per_second": 2.042,
329
+ "eval_steps_per_second": 0.257,
330
+ "eval_wer": 24.085268851415844,
331
+ "step": 140
332
+ },
333
+ {
334
+ "epoch": 4.027777777777778,
335
+ "grad_norm": 2.3235318660736084,
336
+ "learning_rate": 2.9e-05,
337
+ "loss": 0.2728,
338
+ "step": 145
339
+ },
340
+ {
341
+ "epoch": 4.166666666666667,
342
+ "grad_norm": 2.3824808597564697,
343
+ "learning_rate": 3e-05,
344
+ "loss": 0.1286,
345
+ "step": 150
346
+ },
347
+ {
348
+ "epoch": 4.166666666666667,
349
+ "eval_loss": 0.46725359559059143,
350
+ "eval_runtime": 245.6982,
351
+ "eval_samples_per_second": 2.035,
352
+ "eval_steps_per_second": 0.256,
353
+ "eval_wer": 24.276169265033406,
354
+ "step": 150
355
+ },
356
+ {
357
+ "epoch": 4.305555555555555,
358
+ "grad_norm": 2.5686404705047607,
359
+ "learning_rate": 3.1e-05,
360
+ "loss": 0.1301,
361
+ "step": 155
362
+ },
363
+ {
364
+ "epoch": 4.444444444444445,
365
+ "grad_norm": 2.7436068058013916,
366
+ "learning_rate": 3.2000000000000005e-05,
367
+ "loss": 0.1304,
368
+ "step": 160
369
+ },
370
+ {
371
+ "epoch": 4.444444444444445,
372
+ "eval_loss": 0.46984970569610596,
373
+ "eval_runtime": 245.0991,
374
+ "eval_samples_per_second": 2.04,
375
+ "eval_steps_per_second": 0.257,
376
+ "eval_wer": 31.72128539611836,
377
+ "step": 160
378
+ },
379
+ {
380
+ "epoch": 4.583333333333333,
381
+ "grad_norm": 2.83823823928833,
382
+ "learning_rate": 3.3e-05,
383
+ "loss": 0.1408,
384
+ "step": 165
385
+ },
386
+ {
387
+ "epoch": 4.722222222222222,
388
+ "grad_norm": 2.7204811573028564,
389
+ "learning_rate": 3.4000000000000007e-05,
390
+ "loss": 0.1361,
391
+ "step": 170
392
+ },
393
+ {
394
+ "epoch": 4.722222222222222,
395
+ "eval_loss": 0.4690161943435669,
396
+ "eval_runtime": 246.5232,
397
+ "eval_samples_per_second": 2.028,
398
+ "eval_steps_per_second": 0.256,
399
+ "eval_wer": 33.08940502704423,
400
+ "step": 170
401
+ },
402
+ {
403
+ "epoch": 4.861111111111111,
404
+ "grad_norm": 3.671097993850708,
405
+ "learning_rate": 3.5e-05,
406
+ "loss": 0.1511,
407
+ "step": 175
408
+ },
409
+ {
410
+ "epoch": 5.0,
411
+ "grad_norm": 6.484060764312744,
412
+ "learning_rate": 3.6e-05,
413
+ "loss": 0.1447,
414
+ "step": 180
415
+ },
416
+ {
417
+ "epoch": 5.0,
418
+ "eval_loss": 0.4811546802520752,
419
+ "eval_runtime": 244.9356,
420
+ "eval_samples_per_second": 2.041,
421
+ "eval_steps_per_second": 0.257,
422
+ "eval_wer": 24.657970092268535,
423
+ "step": 180
424
+ },
425
+ {
426
+ "epoch": 5.138888888888889,
427
+ "grad_norm": 1.9667352437973022,
428
+ "learning_rate": 3.7e-05,
429
+ "loss": 0.063,
430
+ "step": 185
431
+ },
432
+ {
433
+ "epoch": 5.277777777777778,
434
+ "grad_norm": 2.1828482151031494,
435
+ "learning_rate": 3.8e-05,
436
+ "loss": 0.0617,
437
+ "step": 190
438
+ },
439
+ {
440
+ "epoch": 5.277777777777778,
441
+ "eval_loss": 0.48713362216949463,
442
+ "eval_runtime": 244.9851,
443
+ "eval_samples_per_second": 2.041,
444
+ "eval_steps_per_second": 0.257,
445
+ "eval_wer": 29.939548202354437,
446
+ "step": 190
447
+ },
448
+ {
449
+ "epoch": 5.416666666666667,
450
+ "grad_norm": 1.8774911165237427,
451
+ "learning_rate": 3.9000000000000006e-05,
452
+ "loss": 0.0606,
453
+ "step": 195
454
+ },
455
+ {
456
+ "epoch": 5.555555555555555,
457
+ "grad_norm": 1.8562583923339844,
458
+ "learning_rate": 4e-05,
459
+ "loss": 0.0617,
460
+ "step": 200
461
+ },
462
+ {
463
+ "epoch": 5.555555555555555,
464
+ "eval_loss": 0.488438218832016,
465
+ "eval_runtime": 244.9014,
466
+ "eval_samples_per_second": 2.042,
467
+ "eval_steps_per_second": 0.257,
468
+ "eval_wer": 24.848870505886094,
469
+ "step": 200
470
+ },
471
+ {
472
+ "epoch": 5.694444444444445,
473
+ "grad_norm": 1.9106348752975464,
474
+ "learning_rate": 4.1e-05,
475
+ "loss": 0.0617,
476
+ "step": 205
477
+ },
478
+ {
479
+ "epoch": 5.833333333333333,
480
+ "grad_norm": 1.8114972114562988,
481
+ "learning_rate": 4.2e-05,
482
+ "loss": 0.0577,
483
+ "step": 210
484
+ },
485
+ {
486
+ "epoch": 5.833333333333333,
487
+ "eval_loss": 0.4998014569282532,
488
+ "eval_runtime": 244.1029,
489
+ "eval_samples_per_second": 2.048,
490
+ "eval_steps_per_second": 0.258,
491
+ "eval_wer": 26.853324848870507,
492
+ "step": 210
493
+ },
494
+ {
495
+ "epoch": 5.972222222222222,
496
+ "grad_norm": 5.00437593460083,
497
+ "learning_rate": 4.3e-05,
498
+ "loss": 0.078,
499
+ "step": 215
500
+ },
501
+ {
502
+ "epoch": 6.111111111111111,
503
+ "grad_norm": 1.4013047218322754,
504
+ "learning_rate": 4.4000000000000006e-05,
505
+ "loss": 0.038,
506
+ "step": 220
507
+ },
508
+ {
509
+ "epoch": 6.111111111111111,
510
+ "eval_loss": 0.500673770904541,
511
+ "eval_runtime": 247.5538,
512
+ "eval_samples_per_second": 2.02,
513
+ "eval_steps_per_second": 0.254,
514
+ "eval_wer": 24.848870505886094,
515
+ "step": 220
516
+ },
517
+ {
518
+ "epoch": 6.25,
519
+ "grad_norm": 1.4778488874435425,
520
+ "learning_rate": 4.5e-05,
521
+ "loss": 0.0243,
522
+ "step": 225
523
+ },
524
+ {
525
+ "epoch": 6.388888888888889,
526
+ "grad_norm": 1.3681198358535767,
527
+ "learning_rate": 4.600000000000001e-05,
528
+ "loss": 0.0269,
529
+ "step": 230
530
+ },
531
+ {
532
+ "epoch": 6.388888888888889,
533
+ "eval_loss": 0.5122880935668945,
534
+ "eval_runtime": 243.6648,
535
+ "eval_samples_per_second": 2.052,
536
+ "eval_steps_per_second": 0.259,
537
+ "eval_wer": 27.139675469296847,
538
+ "step": 230
539
+ },
540
+ {
541
+ "epoch": 6.527777777777778,
542
+ "grad_norm": 1.450726866722107,
543
+ "learning_rate": 4.7e-05,
544
+ "loss": 0.0297,
545
+ "step": 235
546
+ },
547
+ {
548
+ "epoch": 6.666666666666667,
549
+ "grad_norm": 1.4052125215530396,
550
+ "learning_rate": 4.8e-05,
551
+ "loss": 0.0321,
552
+ "step": 240
553
+ },
554
+ {
555
+ "epoch": 6.666666666666667,
556
+ "eval_loss": 0.500522792339325,
557
+ "eval_runtime": 247.602,
558
+ "eval_samples_per_second": 2.019,
559
+ "eval_steps_per_second": 0.254,
560
+ "eval_wer": 23.35348393254852,
561
+ "step": 240
562
+ },
563
+ {
564
+ "epoch": 6.805555555555555,
565
+ "grad_norm": 1.2223644256591797,
566
+ "learning_rate": 4.9e-05,
567
+ "loss": 0.0291,
568
+ "step": 245
569
+ },
570
+ {
571
+ "epoch": 6.944444444444445,
572
+ "grad_norm": 1.463398814201355,
573
+ "learning_rate": 5e-05,
574
+ "loss": 0.0296,
575
+ "step": 250
576
+ },
577
+ {
578
+ "epoch": 6.944444444444445,
579
+ "eval_loss": 0.5332342386245728,
580
+ "eval_runtime": 246.3422,
581
+ "eval_samples_per_second": 2.03,
582
+ "eval_steps_per_second": 0.256,
583
+ "eval_wer": 31.880369074132993,
584
+ "step": 250
585
+ },
586
+ {
587
+ "epoch": 7.083333333333333,
588
+ "grad_norm": 4.257472991943359,
589
+ "learning_rate": 5.1000000000000006e-05,
590
+ "loss": 0.027,
591
+ "step": 255
592
+ },
593
+ {
594
+ "epoch": 7.222222222222222,
595
+ "grad_norm": 2.294562339782715,
596
+ "learning_rate": 5.2000000000000004e-05,
597
+ "loss": 0.0207,
598
+ "step": 260
599
+ },
600
+ {
601
+ "epoch": 7.222222222222222,
602
+ "eval_loss": 0.5236981511116028,
603
+ "eval_runtime": 244.1894,
604
+ "eval_samples_per_second": 2.048,
605
+ "eval_steps_per_second": 0.258,
606
+ "eval_wer": 30.066815144766146,
607
+ "step": 260
608
+ },
609
+ {
610
+ "epoch": 7.361111111111111,
611
+ "grad_norm": 1.2468712329864502,
612
+ "learning_rate": 5.300000000000001e-05,
613
+ "loss": 0.0228,
614
+ "step": 265
615
+ },
616
+ {
617
+ "epoch": 7.5,
618
+ "grad_norm": 1.8487240076065063,
619
+ "learning_rate": 5.4000000000000005e-05,
620
+ "loss": 0.0215,
621
+ "step": 270
622
+ },
623
+ {
624
+ "epoch": 7.5,
625
+ "eval_loss": 0.5222529768943787,
626
+ "eval_runtime": 243.6778,
627
+ "eval_samples_per_second": 2.052,
628
+ "eval_steps_per_second": 0.259,
629
+ "eval_wer": 25.548838689150493,
630
+ "step": 270
631
+ },
632
+ {
633
+ "epoch": 7.638888888888889,
634
+ "grad_norm": 1.1909741163253784,
635
+ "learning_rate": 5.500000000000001e-05,
636
+ "loss": 0.0201,
637
+ "step": 275
638
+ },
639
+ {
640
+ "epoch": 7.777777777777778,
641
+ "grad_norm": 1.6141778230667114,
642
+ "learning_rate": 5.6000000000000006e-05,
643
+ "loss": 0.0198,
644
+ "step": 280
645
+ },
646
+ {
647
+ "epoch": 7.777777777777778,
648
+ "eval_loss": 0.5157026648521423,
649
+ "eval_runtime": 244.0734,
650
+ "eval_samples_per_second": 2.049,
651
+ "eval_steps_per_second": 0.258,
652
+ "eval_wer": 30.194082087177854,
653
+ "step": 280
654
+ },
655
+ {
656
+ "epoch": 7.916666666666667,
657
+ "grad_norm": 1.1372332572937012,
658
+ "learning_rate": 5.6999999999999996e-05,
659
+ "loss": 0.0193,
660
+ "step": 285
661
+ },
662
+ {
663
+ "epoch": 8.055555555555555,
664
+ "grad_norm": 2.210016965866089,
665
+ "learning_rate": 5.8e-05,
666
+ "loss": 0.0273,
667
+ "step": 290
668
+ },
669
+ {
670
+ "epoch": 8.055555555555555,
671
+ "eval_loss": 0.5289562940597534,
672
+ "eval_runtime": 243.9152,
673
+ "eval_samples_per_second": 2.05,
674
+ "eval_steps_per_second": 0.258,
675
+ "eval_wer": 27.553293032134903,
676
+ "step": 290
677
+ },
678
+ {
679
+ "epoch": 8.194444444444445,
680
+ "grad_norm": 1.942575454711914,
681
+ "learning_rate": 5.9e-05,
682
+ "loss": 0.0201,
683
+ "step": 295
684
+ },
685
+ {
686
+ "epoch": 8.333333333333334,
687
+ "grad_norm": 1.3640440702438354,
688
+ "learning_rate": 6e-05,
689
+ "loss": 0.0197,
690
+ "step": 300
691
+ },
692
+ {
693
+ "epoch": 8.333333333333334,
694
+ "eval_loss": 0.5509196519851685,
695
+ "eval_runtime": 243.9508,
696
+ "eval_samples_per_second": 2.05,
697
+ "eval_steps_per_second": 0.258,
698
+ "eval_wer": 26.948775055679285,
699
+ "step": 300
700
+ },
701
+ {
702
+ "epoch": 8.333333333333334,
703
+ "step": 300,
704
+ "total_flos": 9.2409447186432e+17,
705
+ "train_loss": 0.5431244759509961,
706
+ "train_runtime": 10016.0212,
707
+ "train_samples_per_second": 3.834,
708
+ "train_steps_per_second": 0.03
709
+ }
710
+ ],
711
+ "logging_steps": 5,
712
+ "max_steps": 300,
713
+ "num_input_tokens_seen": 0,
714
+ "num_train_epochs": 9,
715
+ "save_steps": 10,
716
+ "total_flos": 9.2409447186432e+17,
717
+ "train_batch_size": 128,
718
+ "trial_name": null,
719
+ "trial_params": null
720
+ }