jimregan commited on
Commit
718e6a8
1 Parent(s): 6afc90a

checkpoint 8000

Browse files
Files changed (5) hide show
  1. model.safetensors +1 -1
  2. optimizer.pt +3 -0
  3. rng_state.pth +3 -0
  4. scheduler.pt +3 -0
  5. trainer_state.json +661 -0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:251cf0da910cf3abee2942ff7eae2edd8dda496b67e50deab3f3aea1ae62d309
3
  size 1262032932
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5425a36f1e325bee6d82b1fcc07102ff534ecb18f72844c64a5049b9705ee1a2
3
  size 1262032932
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:40c8da2258f27071c4927075f92382af808544f48a8473848bacbf9ee6bd88e1
3
+ size 2490610241
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee893b4ad54887290f9b4069066f0404d323d7fb2e1360ff8f1c42e1bb7aca50
3
+ size 14639
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8133a804599afbc4c397ae559484c26a48033b26cd1cb76daab66148cf4c67eb
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,661 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.3648131787776947,
3
+ "best_model_checkpoint": "./working/checkpoint-8000",
4
+ "epoch": 95.23809523809524,
5
+ "eval_steps": 1000,
6
+ "global_step": 8000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.19,
13
+ "grad_norm": 5.874335765838623,
14
+ "learning_rate": 1.5e-06,
15
+ "loss": 12.5691,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 2.38,
20
+ "grad_norm": 11.808794975280762,
21
+ "learning_rate": 2.9850000000000002e-06,
22
+ "loss": 9.8251,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 3.57,
27
+ "grad_norm": 10.97357177734375,
28
+ "learning_rate": 4.485e-06,
29
+ "loss": 6.5329,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 4.76,
34
+ "grad_norm": 10.752958297729492,
35
+ "learning_rate": 5.985e-06,
36
+ "loss": 5.2405,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 5.95,
41
+ "grad_norm": 5.865973949432373,
42
+ "learning_rate": 7.485e-06,
43
+ "loss": 4.629,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 7.14,
48
+ "grad_norm": 4.192840099334717,
49
+ "learning_rate": 8.985e-06,
50
+ "loss": 4.2437,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 8.33,
55
+ "grad_norm": 3.2876224517822266,
56
+ "learning_rate": 1.0485e-05,
57
+ "loss": 3.9784,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 9.52,
62
+ "grad_norm": 1.2407236099243164,
63
+ "learning_rate": 1.1985000000000001e-05,
64
+ "loss": 3.7904,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 10.71,
69
+ "grad_norm": 0.6437963247299194,
70
+ "learning_rate": 1.3485e-05,
71
+ "loss": 3.6682,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 11.9,
76
+ "grad_norm": 0.3295372724533081,
77
+ "learning_rate": 1.4985e-05,
78
+ "loss": 3.5325,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 11.9,
83
+ "eval_cer": 0.926601333602748,
84
+ "eval_loss": 3.4897494316101074,
85
+ "eval_runtime": 10.3726,
86
+ "eval_samples_per_second": 32.393,
87
+ "eval_steps_per_second": 4.049,
88
+ "eval_wer": 1.0,
89
+ "step": 1000
90
+ },
91
+ {
92
+ "epoch": 13.1,
93
+ "grad_norm": 0.61485356092453,
94
+ "learning_rate": 1.6485e-05,
95
+ "loss": 3.4934,
96
+ "step": 1100
97
+ },
98
+ {
99
+ "epoch": 14.29,
100
+ "grad_norm": 0.4778901934623718,
101
+ "learning_rate": 1.7985e-05,
102
+ "loss": 3.4662,
103
+ "step": 1200
104
+ },
105
+ {
106
+ "epoch": 15.48,
107
+ "grad_norm": 0.56944739818573,
108
+ "learning_rate": 1.9485e-05,
109
+ "loss": 3.4413,
110
+ "step": 1300
111
+ },
112
+ {
113
+ "epoch": 16.67,
114
+ "grad_norm": 0.37235376238822937,
115
+ "learning_rate": 2.0985e-05,
116
+ "loss": 3.4089,
117
+ "step": 1400
118
+ },
119
+ {
120
+ "epoch": 17.86,
121
+ "grad_norm": 0.4277956187725067,
122
+ "learning_rate": 2.2485000000000002e-05,
123
+ "loss": 3.3384,
124
+ "step": 1500
125
+ },
126
+ {
127
+ "epoch": 19.05,
128
+ "grad_norm": 0.50371253490448,
129
+ "learning_rate": 2.3985e-05,
130
+ "loss": 3.2455,
131
+ "step": 1600
132
+ },
133
+ {
134
+ "epoch": 20.24,
135
+ "grad_norm": 1.1383576393127441,
136
+ "learning_rate": 2.5485e-05,
137
+ "loss": 3.0681,
138
+ "step": 1700
139
+ },
140
+ {
141
+ "epoch": 21.43,
142
+ "grad_norm": 0.8668686747550964,
143
+ "learning_rate": 2.6985e-05,
144
+ "loss": 2.7949,
145
+ "step": 1800
146
+ },
147
+ {
148
+ "epoch": 22.62,
149
+ "grad_norm": 1.0731563568115234,
150
+ "learning_rate": 2.8485000000000003e-05,
151
+ "loss": 2.4866,
152
+ "step": 1900
153
+ },
154
+ {
155
+ "epoch": 23.81,
156
+ "grad_norm": 1.3317248821258545,
157
+ "learning_rate": 2.9985000000000002e-05,
158
+ "loss": 2.1973,
159
+ "step": 2000
160
+ },
161
+ {
162
+ "epoch": 23.81,
163
+ "eval_cer": 0.24030107092341887,
164
+ "eval_loss": 1.1350404024124146,
165
+ "eval_runtime": 10.3527,
166
+ "eval_samples_per_second": 32.455,
167
+ "eval_steps_per_second": 4.057,
168
+ "eval_wer": 0.839647119875454,
169
+ "step": 2000
170
+ },
171
+ {
172
+ "epoch": 25.0,
173
+ "grad_norm": 2.0239453315734863,
174
+ "learning_rate": 2.962875e-05,
175
+ "loss": 1.9821,
176
+ "step": 2100
177
+ },
178
+ {
179
+ "epoch": 26.19,
180
+ "grad_norm": 1.464921236038208,
181
+ "learning_rate": 2.925375e-05,
182
+ "loss": 1.853,
183
+ "step": 2200
184
+ },
185
+ {
186
+ "epoch": 27.38,
187
+ "grad_norm": 1.6508703231811523,
188
+ "learning_rate": 2.887875e-05,
189
+ "loss": 1.7547,
190
+ "step": 2300
191
+ },
192
+ {
193
+ "epoch": 28.57,
194
+ "grad_norm": 1.3476407527923584,
195
+ "learning_rate": 2.850375e-05,
196
+ "loss": 1.7171,
197
+ "step": 2400
198
+ },
199
+ {
200
+ "epoch": 29.76,
201
+ "grad_norm": 1.2977994680404663,
202
+ "learning_rate": 2.812875e-05,
203
+ "loss": 1.6498,
204
+ "step": 2500
205
+ },
206
+ {
207
+ "epoch": 30.95,
208
+ "grad_norm": 1.8536533117294312,
209
+ "learning_rate": 2.775375e-05,
210
+ "loss": 1.5965,
211
+ "step": 2600
212
+ },
213
+ {
214
+ "epoch": 32.14,
215
+ "grad_norm": 1.7063647508621216,
216
+ "learning_rate": 2.7378750000000003e-05,
217
+ "loss": 1.5744,
218
+ "step": 2700
219
+ },
220
+ {
221
+ "epoch": 33.33,
222
+ "grad_norm": 1.613274097442627,
223
+ "learning_rate": 2.700375e-05,
224
+ "loss": 1.5483,
225
+ "step": 2800
226
+ },
227
+ {
228
+ "epoch": 34.52,
229
+ "grad_norm": 1.6182752847671509,
230
+ "learning_rate": 2.662875e-05,
231
+ "loss": 1.5076,
232
+ "step": 2900
233
+ },
234
+ {
235
+ "epoch": 35.71,
236
+ "grad_norm": 1.9291083812713623,
237
+ "learning_rate": 2.6253750000000003e-05,
238
+ "loss": 1.4762,
239
+ "step": 3000
240
+ },
241
+ {
242
+ "epoch": 35.71,
243
+ "eval_cer": 0.15634471610426348,
244
+ "eval_loss": 0.527005672454834,
245
+ "eval_runtime": 10.3175,
246
+ "eval_samples_per_second": 32.566,
247
+ "eval_steps_per_second": 4.071,
248
+ "eval_wer": 0.6844836533471718,
249
+ "step": 3000
250
+ },
251
+ {
252
+ "epoch": 36.9,
253
+ "grad_norm": 1.7794642448425293,
254
+ "learning_rate": 2.587875e-05,
255
+ "loss": 1.4752,
256
+ "step": 3100
257
+ },
258
+ {
259
+ "epoch": 38.1,
260
+ "grad_norm": 1.7410004138946533,
261
+ "learning_rate": 2.550375e-05,
262
+ "loss": 1.4586,
263
+ "step": 3200
264
+ },
265
+ {
266
+ "epoch": 39.29,
267
+ "grad_norm": 1.6410831212997437,
268
+ "learning_rate": 2.512875e-05,
269
+ "loss": 1.4172,
270
+ "step": 3300
271
+ },
272
+ {
273
+ "epoch": 40.48,
274
+ "grad_norm": 2.350106954574585,
275
+ "learning_rate": 2.475375e-05,
276
+ "loss": 1.3751,
277
+ "step": 3400
278
+ },
279
+ {
280
+ "epoch": 41.67,
281
+ "grad_norm": 1.7794309854507446,
282
+ "learning_rate": 2.437875e-05,
283
+ "loss": 1.3516,
284
+ "step": 3500
285
+ },
286
+ {
287
+ "epoch": 42.86,
288
+ "grad_norm": 1.8536804914474487,
289
+ "learning_rate": 2.400375e-05,
290
+ "loss": 1.338,
291
+ "step": 3600
292
+ },
293
+ {
294
+ "epoch": 44.05,
295
+ "grad_norm": 2.043091058731079,
296
+ "learning_rate": 2.362875e-05,
297
+ "loss": 1.31,
298
+ "step": 3700
299
+ },
300
+ {
301
+ "epoch": 45.24,
302
+ "grad_norm": 2.556605577468872,
303
+ "learning_rate": 2.325375e-05,
304
+ "loss": 1.2737,
305
+ "step": 3800
306
+ },
307
+ {
308
+ "epoch": 46.43,
309
+ "grad_norm": 2.167360544204712,
310
+ "learning_rate": 2.2878750000000002e-05,
311
+ "loss": 1.2706,
312
+ "step": 3900
313
+ },
314
+ {
315
+ "epoch": 47.62,
316
+ "grad_norm": 1.933358907699585,
317
+ "learning_rate": 2.2503750000000003e-05,
318
+ "loss": 1.2409,
319
+ "step": 4000
320
+ },
321
+ {
322
+ "epoch": 47.62,
323
+ "eval_cer": 0.140280864821176,
324
+ "eval_loss": 0.41946256160736084,
325
+ "eval_runtime": 10.4076,
326
+ "eval_samples_per_second": 32.284,
327
+ "eval_steps_per_second": 4.036,
328
+ "eval_wer": 0.6331084587441619,
329
+ "step": 4000
330
+ },
331
+ {
332
+ "epoch": 48.81,
333
+ "grad_norm": 2.1927788257598877,
334
+ "learning_rate": 2.212875e-05,
335
+ "loss": 1.2476,
336
+ "step": 4100
337
+ },
338
+ {
339
+ "epoch": 50.0,
340
+ "grad_norm": 3.7042958736419678,
341
+ "learning_rate": 2.175375e-05,
342
+ "loss": 1.2211,
343
+ "step": 4200
344
+ },
345
+ {
346
+ "epoch": 51.19,
347
+ "grad_norm": 2.503298282623291,
348
+ "learning_rate": 2.13825e-05,
349
+ "loss": 1.1974,
350
+ "step": 4300
351
+ },
352
+ {
353
+ "epoch": 52.38,
354
+ "grad_norm": 2.378753423690796,
355
+ "learning_rate": 2.101125e-05,
356
+ "loss": 1.19,
357
+ "step": 4400
358
+ },
359
+ {
360
+ "epoch": 53.57,
361
+ "grad_norm": 6.145068645477295,
362
+ "learning_rate": 2.063625e-05,
363
+ "loss": 1.1734,
364
+ "step": 4500
365
+ },
366
+ {
367
+ "epoch": 54.76,
368
+ "grad_norm": 2.2741551399230957,
369
+ "learning_rate": 2.026125e-05,
370
+ "loss": 1.1664,
371
+ "step": 4600
372
+ },
373
+ {
374
+ "epoch": 55.95,
375
+ "grad_norm": 3.21976900100708,
376
+ "learning_rate": 1.988625e-05,
377
+ "loss": 1.1555,
378
+ "step": 4700
379
+ },
380
+ {
381
+ "epoch": 57.14,
382
+ "grad_norm": 3.06923508644104,
383
+ "learning_rate": 1.951125e-05,
384
+ "loss": 1.1391,
385
+ "step": 4800
386
+ },
387
+ {
388
+ "epoch": 58.33,
389
+ "grad_norm": 1.8809341192245483,
390
+ "learning_rate": 1.9136249999999998e-05,
391
+ "loss": 1.1271,
392
+ "step": 4900
393
+ },
394
+ {
395
+ "epoch": 59.52,
396
+ "grad_norm": 2.041844367980957,
397
+ "learning_rate": 1.876125e-05,
398
+ "loss": 1.1241,
399
+ "step": 5000
400
+ },
401
+ {
402
+ "epoch": 59.52,
403
+ "eval_cer": 0.13785613255203072,
404
+ "eval_loss": 0.38446417450904846,
405
+ "eval_runtime": 10.417,
406
+ "eval_samples_per_second": 32.255,
407
+ "eval_steps_per_second": 4.032,
408
+ "eval_wer": 0.63622210690192,
409
+ "step": 5000
410
+ },
411
+ {
412
+ "epoch": 60.71,
413
+ "grad_norm": 2.3043465614318848,
414
+ "learning_rate": 1.838625e-05,
415
+ "loss": 1.1042,
416
+ "step": 5100
417
+ },
418
+ {
419
+ "epoch": 61.9,
420
+ "grad_norm": 3.682835340499878,
421
+ "learning_rate": 1.801125e-05,
422
+ "loss": 1.0921,
423
+ "step": 5200
424
+ },
425
+ {
426
+ "epoch": 63.1,
427
+ "grad_norm": 4.466809272766113,
428
+ "learning_rate": 1.7636250000000002e-05,
429
+ "loss": 1.095,
430
+ "step": 5300
431
+ },
432
+ {
433
+ "epoch": 64.29,
434
+ "grad_norm": 2.615339994430542,
435
+ "learning_rate": 1.726125e-05,
436
+ "loss": 1.1057,
437
+ "step": 5400
438
+ },
439
+ {
440
+ "epoch": 65.48,
441
+ "grad_norm": 3.483346700668335,
442
+ "learning_rate": 1.688625e-05,
443
+ "loss": 1.0553,
444
+ "step": 5500
445
+ },
446
+ {
447
+ "epoch": 66.67,
448
+ "grad_norm": 2.141965866088867,
449
+ "learning_rate": 1.651125e-05,
450
+ "loss": 1.0656,
451
+ "step": 5600
452
+ },
453
+ {
454
+ "epoch": 67.86,
455
+ "grad_norm": 2.2111611366271973,
456
+ "learning_rate": 1.613625e-05,
457
+ "loss": 1.0673,
458
+ "step": 5700
459
+ },
460
+ {
461
+ "epoch": 69.05,
462
+ "grad_norm": 2.071429491043091,
463
+ "learning_rate": 1.576125e-05,
464
+ "loss": 1.0632,
465
+ "step": 5800
466
+ },
467
+ {
468
+ "epoch": 70.24,
469
+ "grad_norm": 4.86116886138916,
470
+ "learning_rate": 1.538625e-05,
471
+ "loss": 1.0447,
472
+ "step": 5900
473
+ },
474
+ {
475
+ "epoch": 71.43,
476
+ "grad_norm": 3.3076369762420654,
477
+ "learning_rate": 1.5011250000000001e-05,
478
+ "loss": 1.024,
479
+ "step": 6000
480
+ },
481
+ {
482
+ "epoch": 71.43,
483
+ "eval_cer": 0.13548191553849262,
484
+ "eval_loss": 0.3715837895870209,
485
+ "eval_runtime": 10.3955,
486
+ "eval_samples_per_second": 32.322,
487
+ "eval_steps_per_second": 4.04,
488
+ "eval_wer": 0.6320705760249092,
489
+ "step": 6000
490
+ },
491
+ {
492
+ "epoch": 72.62,
493
+ "grad_norm": 2.3496508598327637,
494
+ "learning_rate": 1.463625e-05,
495
+ "loss": 1.0379,
496
+ "step": 6100
497
+ },
498
+ {
499
+ "epoch": 73.81,
500
+ "grad_norm": 2.621004343032837,
501
+ "learning_rate": 1.426125e-05,
502
+ "loss": 1.0515,
503
+ "step": 6200
504
+ },
505
+ {
506
+ "epoch": 75.0,
507
+ "grad_norm": 5.240926742553711,
508
+ "learning_rate": 1.388625e-05,
509
+ "loss": 1.0253,
510
+ "step": 6300
511
+ },
512
+ {
513
+ "epoch": 76.19,
514
+ "grad_norm": 2.9943532943725586,
515
+ "learning_rate": 1.351125e-05,
516
+ "loss": 1.0131,
517
+ "step": 6400
518
+ },
519
+ {
520
+ "epoch": 77.38,
521
+ "grad_norm": 2.475804328918457,
522
+ "learning_rate": 1.3136250000000001e-05,
523
+ "loss": 1.0227,
524
+ "step": 6500
525
+ },
526
+ {
527
+ "epoch": 78.57,
528
+ "grad_norm": 2.5056631565093994,
529
+ "learning_rate": 1.2761250000000001e-05,
530
+ "loss": 1.0025,
531
+ "step": 6600
532
+ },
533
+ {
534
+ "epoch": 79.76,
535
+ "grad_norm": 3.9102323055267334,
536
+ "learning_rate": 1.238625e-05,
537
+ "loss": 1.0181,
538
+ "step": 6700
539
+ },
540
+ {
541
+ "epoch": 80.95,
542
+ "grad_norm": 3.3800106048583984,
543
+ "learning_rate": 1.201125e-05,
544
+ "loss": 0.9892,
545
+ "step": 6800
546
+ },
547
+ {
548
+ "epoch": 82.14,
549
+ "grad_norm": 2.165987014770508,
550
+ "learning_rate": 1.164e-05,
551
+ "loss": 0.9822,
552
+ "step": 6900
553
+ },
554
+ {
555
+ "epoch": 83.33,
556
+ "grad_norm": 2.426816463470459,
557
+ "learning_rate": 1.1265e-05,
558
+ "loss": 0.9922,
559
+ "step": 7000
560
+ },
561
+ {
562
+ "epoch": 83.33,
563
+ "eval_cer": 0.13310769852495455,
564
+ "eval_loss": 0.3727741539478302,
565
+ "eval_runtime": 10.3942,
566
+ "eval_samples_per_second": 32.326,
567
+ "eval_steps_per_second": 4.041,
568
+ "eval_wer": 0.628956927867151,
569
+ "step": 7000
570
+ },
571
+ {
572
+ "epoch": 84.52,
573
+ "grad_norm": 3.203552007675171,
574
+ "learning_rate": 1.089e-05,
575
+ "loss": 0.9995,
576
+ "step": 7100
577
+ },
578
+ {
579
+ "epoch": 85.71,
580
+ "grad_norm": 2.827246904373169,
581
+ "learning_rate": 1.0515e-05,
582
+ "loss": 0.9683,
583
+ "step": 7200
584
+ },
585
+ {
586
+ "epoch": 86.9,
587
+ "grad_norm": 2.9927895069122314,
588
+ "learning_rate": 1.0140000000000001e-05,
589
+ "loss": 0.9864,
590
+ "step": 7300
591
+ },
592
+ {
593
+ "epoch": 88.1,
594
+ "grad_norm": 2.151737928390503,
595
+ "learning_rate": 9.765e-06,
596
+ "loss": 0.9744,
597
+ "step": 7400
598
+ },
599
+ {
600
+ "epoch": 89.29,
601
+ "grad_norm": 2.5920581817626953,
602
+ "learning_rate": 9.39e-06,
603
+ "loss": 0.9794,
604
+ "step": 7500
605
+ },
606
+ {
607
+ "epoch": 90.48,
608
+ "grad_norm": 3.2127621173858643,
609
+ "learning_rate": 9.015e-06,
610
+ "loss": 0.9622,
611
+ "step": 7600
612
+ },
613
+ {
614
+ "epoch": 91.67,
615
+ "grad_norm": 3.541879892349243,
616
+ "learning_rate": 8.64e-06,
617
+ "loss": 0.9624,
618
+ "step": 7700
619
+ },
620
+ {
621
+ "epoch": 92.86,
622
+ "grad_norm": 2.827958345413208,
623
+ "learning_rate": 8.265000000000001e-06,
624
+ "loss": 0.9637,
625
+ "step": 7800
626
+ },
627
+ {
628
+ "epoch": 94.05,
629
+ "grad_norm": 2.648591995239258,
630
+ "learning_rate": 7.89e-06,
631
+ "loss": 0.9684,
632
+ "step": 7900
633
+ },
634
+ {
635
+ "epoch": 95.24,
636
+ "grad_norm": 4.264640808105469,
637
+ "learning_rate": 7.515e-06,
638
+ "loss": 0.9432,
639
+ "step": 8000
640
+ },
641
+ {
642
+ "epoch": 95.24,
643
+ "eval_cer": 0.13209739341281068,
644
+ "eval_loss": 0.3648131787776947,
645
+ "eval_runtime": 10.4236,
646
+ "eval_samples_per_second": 32.234,
647
+ "eval_steps_per_second": 4.029,
648
+ "eval_wer": 0.6170212765957447,
649
+ "step": 8000
650
+ }
651
+ ],
652
+ "logging_steps": 100,
653
+ "max_steps": 10000,
654
+ "num_input_tokens_seen": 0,
655
+ "num_train_epochs": 120,
656
+ "save_steps": 1000,
657
+ "total_flos": 2.4098927133551096e+19,
658
+ "train_batch_size": 8,
659
+ "trial_name": null,
660
+ "trial_params": null
661
+ }