csikasote commited on
Commit
b7ef927
·
verified ·
1 Parent(s): 8bb781b

End of training

Browse files
README.md CHANGED
@@ -3,6 +3,9 @@ library_name: transformers
3
  license: cc-by-nc-4.0
4
  base_model: facebook/mms-1b-all
5
  tags:
 
 
 
6
  - generated_from_trainer
7
  metrics:
8
  - wer
@@ -16,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  # mms-1b-bigcgen-female-30hrs-model
18
 
19
- This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: inf
22
  - Wer: 0.5369
 
3
  license: cc-by-nc-4.0
4
  base_model: facebook/mms-1b-all
5
  tags:
6
+ - automatic-speech-recognition
7
+ - bigcgen
8
+ - mms
9
  - generated_from_trainer
10
  metrics:
11
  - wer
 
19
 
20
  # mms-1b-bigcgen-female-30hrs-model
21
 
22
+ This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the BIGCGEN - BEM dataset.
23
  It achieves the following results on the evaluation set:
24
  - Loss: inf
25
  - Wer: 0.5369
adapter.bem.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15de0db1d4c88574527bfc1528fff4eac3a2aad371946d2d759c9766517a1dc2
3
+ size 8793408
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.2519408965689958,
3
+ "eval_loss": Infinity,
4
+ "eval_runtime": 33.0579,
5
+ "eval_samples": 475,
6
+ "eval_samples_per_second": 14.369,
7
+ "eval_steps_per_second": 3.6,
8
+ "eval_wer": 0.5368898978433598,
9
+ "total_flos": 1.2637235735504001e+19,
10
+ "train_loss": 2.4210814453125,
11
+ "train_runtime": 3711.8357,
12
+ "train_samples": 15972,
13
+ "train_samples_per_second": 5.388,
14
+ "train_steps_per_second": 0.674
15
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.2519408965689958,
3
+ "eval_loss": Infinity,
4
+ "eval_runtime": 33.0579,
5
+ "eval_samples": 475,
6
+ "eval_samples_per_second": 14.369,
7
+ "eval_steps_per_second": 3.6,
8
+ "eval_wer": 0.5368898978433598
9
+ }
runs/Dec29_10-50-15_srvrocgpu011.uct.ac.za/events.out.tfevents.1735466492.srvrocgpu011.uct.ac.za ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8314b0ae1adf153b214db193b2acdf35b3ae80ece0525eb2ed6f5664cb1564de
3
+ size 40
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.2519408965689958,
3
+ "total_flos": 1.2637235735504001e+19,
4
+ "train_loss": 2.4210814453125,
5
+ "train_runtime": 3711.8357,
6
+ "train_samples": 15972,
7
+ "train_samples_per_second": 5.388,
8
+ "train_steps_per_second": 0.674
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,442 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": Infinity,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.2519408965689958,
5
+ "eval_steps": 100,
6
+ "global_step": 2500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.05008765339343852,
13
+ "grad_norm": 4.929053783416748,
14
+ "learning_rate": 0.00028799999999999995,
15
+ "loss": 14.2597,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.05008765339343852,
20
+ "eval_loss": Infinity,
21
+ "eval_runtime": 32.8397,
22
+ "eval_samples_per_second": 14.464,
23
+ "eval_steps_per_second": 3.624,
24
+ "eval_wer": 1.0024971623155505,
25
+ "step": 100
26
+ },
27
+ {
28
+ "epoch": 0.10017530678687704,
29
+ "grad_norm": 5.331048488616943,
30
+ "learning_rate": 0.00028799999999999995,
31
+ "loss": 6.2197,
32
+ "step": 200
33
+ },
34
+ {
35
+ "epoch": 0.10017530678687704,
36
+ "eval_loss": Infinity,
37
+ "eval_runtime": 32.789,
38
+ "eval_samples_per_second": 14.487,
39
+ "eval_steps_per_second": 3.629,
40
+ "eval_wer": 0.9945516458569807,
41
+ "step": 200
42
+ },
43
+ {
44
+ "epoch": 0.15026296018031554,
45
+ "grad_norm": 8.833192825317383,
46
+ "learning_rate": 0.0002755,
47
+ "loss": 5.2752,
48
+ "step": 300
49
+ },
50
+ {
51
+ "epoch": 0.15026296018031554,
52
+ "eval_loss": Infinity,
53
+ "eval_runtime": 32.5896,
54
+ "eval_samples_per_second": 14.575,
55
+ "eval_steps_per_second": 3.651,
56
+ "eval_wer": 1.03155505107832,
57
+ "step": 300
58
+ },
59
+ {
60
+ "epoch": 0.20035061357375408,
61
+ "grad_norm": 4.219055652618408,
62
+ "learning_rate": 0.000263,
63
+ "loss": 2.3626,
64
+ "step": 400
65
+ },
66
+ {
67
+ "epoch": 0.20035061357375408,
68
+ "eval_loss": Infinity,
69
+ "eval_runtime": 32.7388,
70
+ "eval_samples_per_second": 14.509,
71
+ "eval_steps_per_second": 3.635,
72
+ "eval_wer": 0.5997729852440409,
73
+ "step": 400
74
+ },
75
+ {
76
+ "epoch": 0.25043826696719257,
77
+ "grad_norm": 3.2875781059265137,
78
+ "learning_rate": 0.000250625,
79
+ "loss": 1.7448,
80
+ "step": 500
81
+ },
82
+ {
83
+ "epoch": 0.25043826696719257,
84
+ "eval_loss": Infinity,
85
+ "eval_runtime": 32.8725,
86
+ "eval_samples_per_second": 14.45,
87
+ "eval_steps_per_second": 3.62,
88
+ "eval_wer": 0.5813847900113507,
89
+ "step": 500
90
+ },
91
+ {
92
+ "epoch": 0.3005259203606311,
93
+ "grad_norm": 4.664038181304932,
94
+ "learning_rate": 0.00023812499999999997,
95
+ "loss": 1.6955,
96
+ "step": 600
97
+ },
98
+ {
99
+ "epoch": 0.3005259203606311,
100
+ "eval_loss": Infinity,
101
+ "eval_runtime": 32.747,
102
+ "eval_samples_per_second": 14.505,
103
+ "eval_steps_per_second": 3.634,
104
+ "eval_wer": 0.5709421112372304,
105
+ "step": 600
106
+ },
107
+ {
108
+ "epoch": 0.3506135737540696,
109
+ "grad_norm": 9.165749549865723,
110
+ "learning_rate": 0.00022562499999999997,
111
+ "loss": 1.6841,
112
+ "step": 700
113
+ },
114
+ {
115
+ "epoch": 0.3506135737540696,
116
+ "eval_loss": Infinity,
117
+ "eval_runtime": 32.8731,
118
+ "eval_samples_per_second": 14.45,
119
+ "eval_steps_per_second": 3.62,
120
+ "eval_wer": 0.5595913734392736,
121
+ "step": 700
122
+ },
123
+ {
124
+ "epoch": 0.40070122714750817,
125
+ "grad_norm": 5.03289270401001,
126
+ "learning_rate": 0.000213125,
127
+ "loss": 1.693,
128
+ "step": 800
129
+ },
130
+ {
131
+ "epoch": 0.40070122714750817,
132
+ "eval_loss": Infinity,
133
+ "eval_runtime": 32.7297,
134
+ "eval_samples_per_second": 14.513,
135
+ "eval_steps_per_second": 3.636,
136
+ "eval_wer": 0.5639046538024972,
137
+ "step": 800
138
+ },
139
+ {
140
+ "epoch": 0.4507888805409467,
141
+ "grad_norm": 6.008096218109131,
142
+ "learning_rate": 0.00020062499999999996,
143
+ "loss": 1.688,
144
+ "step": 900
145
+ },
146
+ {
147
+ "epoch": 0.4507888805409467,
148
+ "eval_loss": Infinity,
149
+ "eval_runtime": 32.9785,
150
+ "eval_samples_per_second": 14.403,
151
+ "eval_steps_per_second": 3.608,
152
+ "eval_wer": 0.5555051078320091,
153
+ "step": 900
154
+ },
155
+ {
156
+ "epoch": 0.5008765339343851,
157
+ "grad_norm": 5.064396381378174,
158
+ "learning_rate": 0.00018812499999999998,
159
+ "loss": 1.5718,
160
+ "step": 1000
161
+ },
162
+ {
163
+ "epoch": 0.5008765339343851,
164
+ "eval_loss": Infinity,
165
+ "eval_runtime": 32.8424,
166
+ "eval_samples_per_second": 14.463,
167
+ "eval_steps_per_second": 3.623,
168
+ "eval_wer": 0.5475595913734392,
169
+ "step": 1000
170
+ },
171
+ {
172
+ "epoch": 0.5509641873278237,
173
+ "grad_norm": 3.990177869796753,
174
+ "learning_rate": 0.000175625,
175
+ "loss": 1.5855,
176
+ "step": 1100
177
+ },
178
+ {
179
+ "epoch": 0.5509641873278237,
180
+ "eval_loss": Infinity,
181
+ "eval_runtime": 32.8353,
182
+ "eval_samples_per_second": 14.466,
183
+ "eval_steps_per_second": 3.624,
184
+ "eval_wer": 0.5482406356413166,
185
+ "step": 1100
186
+ },
187
+ {
188
+ "epoch": 0.6010518407212622,
189
+ "grad_norm": 3.535385847091675,
190
+ "learning_rate": 0.00016312499999999997,
191
+ "loss": 1.4783,
192
+ "step": 1200
193
+ },
194
+ {
195
+ "epoch": 0.6010518407212622,
196
+ "eval_loss": Infinity,
197
+ "eval_runtime": 32.8042,
198
+ "eval_samples_per_second": 14.48,
199
+ "eval_steps_per_second": 3.628,
200
+ "eval_wer": 0.547105561861521,
201
+ "step": 1200
202
+ },
203
+ {
204
+ "epoch": 0.6511394941147007,
205
+ "grad_norm": 2.9750921726226807,
206
+ "learning_rate": 0.000150625,
207
+ "loss": 1.5198,
208
+ "step": 1300
209
+ },
210
+ {
211
+ "epoch": 0.6511394941147007,
212
+ "eval_loss": Infinity,
213
+ "eval_runtime": 33.111,
214
+ "eval_samples_per_second": 14.346,
215
+ "eval_steps_per_second": 3.594,
216
+ "eval_wer": 0.5475595913734392,
217
+ "step": 1300
218
+ },
219
+ {
220
+ "epoch": 0.7012271475081392,
221
+ "grad_norm": 5.642059803009033,
222
+ "learning_rate": 0.00013812499999999998,
223
+ "loss": 1.4941,
224
+ "step": 1400
225
+ },
226
+ {
227
+ "epoch": 0.7012271475081392,
228
+ "eval_loss": Infinity,
229
+ "eval_runtime": 32.8838,
230
+ "eval_samples_per_second": 14.445,
231
+ "eval_steps_per_second": 3.619,
232
+ "eval_wer": 0.5468785471055618,
233
+ "step": 1400
234
+ },
235
+ {
236
+ "epoch": 0.7513148009015778,
237
+ "grad_norm": 3.8275411128997803,
238
+ "learning_rate": 0.000125625,
239
+ "loss": 1.5916,
240
+ "step": 1500
241
+ },
242
+ {
243
+ "epoch": 0.7513148009015778,
244
+ "eval_loss": Infinity,
245
+ "eval_runtime": 32.8921,
246
+ "eval_samples_per_second": 14.441,
247
+ "eval_steps_per_second": 3.618,
248
+ "eval_wer": 0.5425652667423383,
249
+ "step": 1500
250
+ },
251
+ {
252
+ "epoch": 0.8014024542950163,
253
+ "grad_norm": 4.227853298187256,
254
+ "learning_rate": 0.00011312499999999999,
255
+ "loss": 1.4683,
256
+ "step": 1600
257
+ },
258
+ {
259
+ "epoch": 0.8014024542950163,
260
+ "eval_loss": Infinity,
261
+ "eval_runtime": 32.9486,
262
+ "eval_samples_per_second": 14.416,
263
+ "eval_steps_per_second": 3.612,
264
+ "eval_wer": 0.5459704880817253,
265
+ "step": 1600
266
+ },
267
+ {
268
+ "epoch": 0.8514901076884548,
269
+ "grad_norm": 3.1832377910614014,
270
+ "learning_rate": 0.00010062499999999998,
271
+ "loss": 1.486,
272
+ "step": 1700
273
+ },
274
+ {
275
+ "epoch": 0.8514901076884548,
276
+ "eval_loss": Infinity,
277
+ "eval_runtime": 33.1266,
278
+ "eval_samples_per_second": 14.339,
279
+ "eval_steps_per_second": 3.592,
280
+ "eval_wer": 0.5527809307604994,
281
+ "step": 1700
282
+ },
283
+ {
284
+ "epoch": 0.9015777610818934,
285
+ "grad_norm": 3.4040753841400146,
286
+ "learning_rate": 8.8125e-05,
287
+ "loss": 1.4353,
288
+ "step": 1800
289
+ },
290
+ {
291
+ "epoch": 0.9015777610818934,
292
+ "eval_loss": Infinity,
293
+ "eval_runtime": 33.0102,
294
+ "eval_samples_per_second": 14.39,
295
+ "eval_steps_per_second": 3.605,
296
+ "eval_wer": 0.5434733257661748,
297
+ "step": 1800
298
+ },
299
+ {
300
+ "epoch": 0.9516654144753318,
301
+ "grad_norm": 3.732764482498169,
302
+ "learning_rate": 7.5625e-05,
303
+ "loss": 1.6166,
304
+ "step": 1900
305
+ },
306
+ {
307
+ "epoch": 0.9516654144753318,
308
+ "eval_loss": Infinity,
309
+ "eval_runtime": 32.8972,
310
+ "eval_samples_per_second": 14.439,
311
+ "eval_steps_per_second": 3.617,
312
+ "eval_wer": 0.5541430192962542,
313
+ "step": 1900
314
+ },
315
+ {
316
+ "epoch": 1.0015026296018033,
317
+ "grad_norm": 5.252945423126221,
318
+ "learning_rate": 6.312499999999999e-05,
319
+ "loss": 1.531,
320
+ "step": 2000
321
+ },
322
+ {
323
+ "epoch": 1.0015026296018033,
324
+ "eval_loss": Infinity,
325
+ "eval_runtime": 32.8286,
326
+ "eval_samples_per_second": 14.469,
327
+ "eval_steps_per_second": 3.625,
328
+ "eval_wer": 0.5534619750283768,
329
+ "step": 2000
330
+ },
331
+ {
332
+ "epoch": 1.0515902829952417,
333
+ "grad_norm": 6.164999008178711,
334
+ "learning_rate": 5.0625e-05,
335
+ "loss": 1.5441,
336
+ "step": 2100
337
+ },
338
+ {
339
+ "epoch": 1.0515902829952417,
340
+ "eval_loss": Infinity,
341
+ "eval_runtime": 33.1705,
342
+ "eval_samples_per_second": 14.32,
343
+ "eval_steps_per_second": 3.588,
344
+ "eval_wer": 0.5477866061293984,
345
+ "step": 2100
346
+ },
347
+ {
348
+ "epoch": 1.1016779363886802,
349
+ "grad_norm": 9.455016136169434,
350
+ "learning_rate": 3.812499999999999e-05,
351
+ "loss": 1.3459,
352
+ "step": 2200
353
+ },
354
+ {
355
+ "epoch": 1.1016779363886802,
356
+ "eval_loss": Infinity,
357
+ "eval_runtime": 32.9466,
358
+ "eval_samples_per_second": 14.417,
359
+ "eval_steps_per_second": 3.612,
360
+ "eval_wer": 0.527355278093076,
361
+ "step": 2200
362
+ },
363
+ {
364
+ "epoch": 1.1517655897821186,
365
+ "grad_norm": 2.4571692943573,
366
+ "learning_rate": 2.5625e-05,
367
+ "loss": 1.357,
368
+ "step": 2300
369
+ },
370
+ {
371
+ "epoch": 1.1517655897821186,
372
+ "eval_loss": Infinity,
373
+ "eval_runtime": 32.8004,
374
+ "eval_samples_per_second": 14.482,
375
+ "eval_steps_per_second": 3.628,
376
+ "eval_wer": 0.5269012485811577,
377
+ "step": 2300
378
+ },
379
+ {
380
+ "epoch": 1.2018532431755573,
381
+ "grad_norm": 6.859475135803223,
382
+ "learning_rate": 1.3124999999999999e-05,
383
+ "loss": 1.4464,
384
+ "step": 2400
385
+ },
386
+ {
387
+ "epoch": 1.2018532431755573,
388
+ "eval_loss": Infinity,
389
+ "eval_runtime": 32.8189,
390
+ "eval_samples_per_second": 14.473,
391
+ "eval_steps_per_second": 3.626,
392
+ "eval_wer": 0.5225879682179342,
393
+ "step": 2400
394
+ },
395
+ {
396
+ "epoch": 1.2519408965689958,
397
+ "grad_norm": 2.8902647495269775,
398
+ "learning_rate": 6.249999999999999e-07,
399
+ "loss": 1.4326,
400
+ "step": 2500
401
+ },
402
+ {
403
+ "epoch": 1.2519408965689958,
404
+ "eval_loss": Infinity,
405
+ "eval_runtime": 33.1168,
406
+ "eval_samples_per_second": 14.343,
407
+ "eval_steps_per_second": 3.593,
408
+ "eval_wer": 0.5368898978433598,
409
+ "step": 2500
410
+ },
411
+ {
412
+ "epoch": 1.2519408965689958,
413
+ "step": 2500,
414
+ "total_flos": 1.2637235735504001e+19,
415
+ "train_loss": 2.4210814453125,
416
+ "train_runtime": 3711.8357,
417
+ "train_samples_per_second": 5.388,
418
+ "train_steps_per_second": 0.674
419
+ }
420
+ ],
421
+ "logging_steps": 100,
422
+ "max_steps": 2500,
423
+ "num_input_tokens_seen": 0,
424
+ "num_train_epochs": 2,
425
+ "save_steps": 400,
426
+ "stateful_callbacks": {
427
+ "TrainerControl": {
428
+ "args": {
429
+ "should_epoch_stop": false,
430
+ "should_evaluate": false,
431
+ "should_log": false,
432
+ "should_save": true,
433
+ "should_training_stop": true
434
+ },
435
+ "attributes": {}
436
+ }
437
+ },
438
+ "total_flos": 1.2637235735504001e+19,
439
+ "train_batch_size": 4,
440
+ "trial_name": null,
441
+ "trial_params": null
442
+ }