ihanif commited on
Commit
93bff9a
1 Parent(s): e294886

add best WER checkpoint at step 1200

Browse files
checkpoint-1200/config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "openai/whisper-medium",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "gelu",
5
+ "architectures": [
6
+ "WhisperForConditionalGeneration"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "begin_suppress_tokens": [
10
+ 220,
11
+ 50257
12
+ ],
13
+ "bos_token_id": 50257,
14
+ "d_model": 1024,
15
+ "decoder_attention_heads": 16,
16
+ "decoder_ffn_dim": 4096,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 24,
19
+ "decoder_start_token_id": 50258,
20
+ "dropout": 0.0,
21
+ "encoder_attention_heads": 16,
22
+ "encoder_ffn_dim": 4096,
23
+ "encoder_layerdrop": 0.0,
24
+ "encoder_layers": 24,
25
+ "eos_token_id": 50257,
26
+ "forced_decoder_ids": null,
27
+ "init_std": 0.02,
28
+ "is_encoder_decoder": true,
29
+ "max_length": 448,
30
+ "max_source_positions": 1500,
31
+ "max_target_positions": 448,
32
+ "model_type": "whisper",
33
+ "num_hidden_layers": 24,
34
+ "num_mel_bins": 80,
35
+ "pad_token_id": 50257,
36
+ "scale_embedding": false,
37
+ "torch_dtype": "float32",
38
+ "transformers_version": "4.26.0.dev0",
39
+ "use_cache": false,
40
+ "vocab_size": 51865
41
+ }
checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d458445da730ae852fefdd1efbb7a3cbb6eb7e998ca01239c0b62a9ee24c2671
3
+ size 6111428695
checkpoint-1200/preprocessor_config.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-1200/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2b160705165d9aa7c832adbda8e4aa2aba2bd16a3883e9801086c5a755b22b0
3
+ size 3055754841
checkpoint-1200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34ad700147ef2fad3ab0df1630fa483e649bc1c8bb65b171f22f772c0b8981ef
3
+ size 14575
checkpoint-1200/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:17cc5d53f6ce64f7a24cc72e7c61187dc4c279eba99011d48c6c802500fc106d
3
+ size 557
checkpoint-1200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae020d01dc6e4c380fefd015708f5d69a276d355437f37b6781081a4054ee6d9
3
+ size 627
checkpoint-1200/trainer_state.json ADDED
@@ -0,0 +1,412 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 50.544794188861985,
3
+ "best_model_checkpoint": "./checkpoint-1200",
4
+ "epoch": 171.42857142857142,
5
+ "global_step": 1200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 3.57,
12
+ "learning_rate": 4.4e-06,
13
+ "loss": 2.1832,
14
+ "step": 25
15
+ },
16
+ {
17
+ "epoch": 7.14,
18
+ "learning_rate": 9.4e-06,
19
+ "loss": 0.7236,
20
+ "step": 50
21
+ },
22
+ {
23
+ "epoch": 10.71,
24
+ "learning_rate": 9.76842105263158e-06,
25
+ "loss": 0.2181,
26
+ "step": 75
27
+ },
28
+ {
29
+ "epoch": 14.29,
30
+ "learning_rate": 9.505263157894738e-06,
31
+ "loss": 0.0334,
32
+ "step": 100
33
+ },
34
+ {
35
+ "epoch": 14.29,
36
+ "eval_loss": 1.0348163843154907,
37
+ "eval_runtime": 1390.6808,
38
+ "eval_samples_per_second": 0.368,
39
+ "eval_steps_per_second": 0.023,
40
+ "eval_wer": 50.090799031477,
41
+ "step": 100
42
+ },
43
+ {
44
+ "epoch": 17.86,
45
+ "learning_rate": 9.242105263157896e-06,
46
+ "loss": 0.0077,
47
+ "step": 125
48
+ },
49
+ {
50
+ "epoch": 21.43,
51
+ "learning_rate": 8.978947368421055e-06,
52
+ "loss": 0.0041,
53
+ "step": 150
54
+ },
55
+ {
56
+ "epoch": 25.0,
57
+ "learning_rate": 8.715789473684211e-06,
58
+ "loss": 0.0026,
59
+ "step": 175
60
+ },
61
+ {
62
+ "epoch": 28.57,
63
+ "learning_rate": 8.45263157894737e-06,
64
+ "loss": 0.0021,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 28.57,
69
+ "eval_loss": 1.1971338987350464,
70
+ "eval_runtime": 1356.432,
71
+ "eval_samples_per_second": 0.377,
72
+ "eval_steps_per_second": 0.024,
73
+ "eval_wer": 49.48547215496368,
74
+ "step": 200
75
+ },
76
+ {
77
+ "epoch": 32.14,
78
+ "learning_rate": 8.189473684210527e-06,
79
+ "loss": 0.0014,
80
+ "step": 225
81
+ },
82
+ {
83
+ "epoch": 35.71,
84
+ "learning_rate": 7.926315789473686e-06,
85
+ "loss": 0.0009,
86
+ "step": 250
87
+ },
88
+ {
89
+ "epoch": 39.29,
90
+ "learning_rate": 7.663157894736842e-06,
91
+ "loss": 0.0008,
92
+ "step": 275
93
+ },
94
+ {
95
+ "epoch": 42.86,
96
+ "learning_rate": 7.4e-06,
97
+ "loss": 0.0007,
98
+ "step": 300
99
+ },
100
+ {
101
+ "epoch": 42.86,
102
+ "eval_loss": 1.265063762664795,
103
+ "eval_runtime": 1370.312,
104
+ "eval_samples_per_second": 0.374,
105
+ "eval_steps_per_second": 0.023,
106
+ "eval_wer": 49.73516949152542,
107
+ "step": 300
108
+ },
109
+ {
110
+ "epoch": 46.43,
111
+ "learning_rate": 7.1368421052631585e-06,
112
+ "loss": 0.0007,
113
+ "step": 325
114
+ },
115
+ {
116
+ "epoch": 50.0,
117
+ "learning_rate": 6.873684210526317e-06,
118
+ "loss": 0.0006,
119
+ "step": 350
120
+ },
121
+ {
122
+ "epoch": 53.57,
123
+ "learning_rate": 6.610526315789474e-06,
124
+ "loss": 0.0006,
125
+ "step": 375
126
+ },
127
+ {
128
+ "epoch": 57.14,
129
+ "learning_rate": 6.347368421052632e-06,
130
+ "loss": 0.0006,
131
+ "step": 400
132
+ },
133
+ {
134
+ "epoch": 57.14,
135
+ "eval_loss": 1.3083866834640503,
136
+ "eval_runtime": 1377.4534,
137
+ "eval_samples_per_second": 0.372,
138
+ "eval_steps_per_second": 0.023,
139
+ "eval_wer": 49.969733656174334,
140
+ "step": 400
141
+ },
142
+ {
143
+ "epoch": 60.71,
144
+ "learning_rate": 6.08421052631579e-06,
145
+ "loss": 0.0005,
146
+ "step": 425
147
+ },
148
+ {
149
+ "epoch": 64.29,
150
+ "learning_rate": 5.8210526315789486e-06,
151
+ "loss": 0.0005,
152
+ "step": 450
153
+ },
154
+ {
155
+ "epoch": 67.86,
156
+ "learning_rate": 5.557894736842105e-06,
157
+ "loss": 0.0005,
158
+ "step": 475
159
+ },
160
+ {
161
+ "epoch": 71.43,
162
+ "learning_rate": 5.294736842105263e-06,
163
+ "loss": 0.0005,
164
+ "step": 500
165
+ },
166
+ {
167
+ "epoch": 71.43,
168
+ "eval_loss": 1.3478939533233643,
169
+ "eval_runtime": 1368.2052,
170
+ "eval_samples_per_second": 0.374,
171
+ "eval_steps_per_second": 0.023,
172
+ "eval_wer": 50.060532687651325,
173
+ "step": 500
174
+ },
175
+ {
176
+ "epoch": 75.0,
177
+ "learning_rate": 5.0315789473684214e-06,
178
+ "loss": 0.0005,
179
+ "step": 525
180
+ },
181
+ {
182
+ "epoch": 78.57,
183
+ "learning_rate": 4.76842105263158e-06,
184
+ "loss": 0.0005,
185
+ "step": 550
186
+ },
187
+ {
188
+ "epoch": 82.14,
189
+ "learning_rate": 4.505263157894737e-06,
190
+ "loss": 0.0004,
191
+ "step": 575
192
+ },
193
+ {
194
+ "epoch": 85.71,
195
+ "learning_rate": 4.242105263157895e-06,
196
+ "loss": 0.0004,
197
+ "step": 600
198
+ },
199
+ {
200
+ "epoch": 85.71,
201
+ "eval_loss": 1.3834712505340576,
202
+ "eval_runtime": 1377.4466,
203
+ "eval_samples_per_second": 0.372,
204
+ "eval_steps_per_second": 0.023,
205
+ "eval_wer": 50.30266343825666,
206
+ "step": 600
207
+ },
208
+ {
209
+ "epoch": 89.29,
210
+ "learning_rate": 3.9789473684210525e-06,
211
+ "loss": 0.0004,
212
+ "step": 625
213
+ },
214
+ {
215
+ "epoch": 92.86,
216
+ "learning_rate": 3.715789473684211e-06,
217
+ "loss": 0.0004,
218
+ "step": 650
219
+ },
220
+ {
221
+ "epoch": 96.43,
222
+ "learning_rate": 3.4526315789473684e-06,
223
+ "loss": 0.0004,
224
+ "step": 675
225
+ },
226
+ {
227
+ "epoch": 100.0,
228
+ "learning_rate": 3.1894736842105266e-06,
229
+ "loss": 0.0004,
230
+ "step": 700
231
+ },
232
+ {
233
+ "epoch": 100.0,
234
+ "eval_loss": 1.4139070510864258,
235
+ "eval_runtime": 1374.8999,
236
+ "eval_samples_per_second": 0.372,
237
+ "eval_steps_per_second": 0.023,
238
+ "eval_wer": 50.45399515738499,
239
+ "step": 700
240
+ },
241
+ {
242
+ "epoch": 103.57,
243
+ "learning_rate": 2.9263157894736844e-06,
244
+ "loss": 0.0004,
245
+ "step": 725
246
+ },
247
+ {
248
+ "epoch": 107.14,
249
+ "learning_rate": 2.6631578947368426e-06,
250
+ "loss": 0.0004,
251
+ "step": 750
252
+ },
253
+ {
254
+ "epoch": 110.71,
255
+ "learning_rate": 2.4000000000000003e-06,
256
+ "loss": 0.0004,
257
+ "step": 775
258
+ },
259
+ {
260
+ "epoch": 114.29,
261
+ "learning_rate": 2.136842105263158e-06,
262
+ "loss": 0.0004,
263
+ "step": 800
264
+ },
265
+ {
266
+ "epoch": 114.29,
267
+ "eval_loss": 1.4381563663482666,
268
+ "eval_runtime": 1378.8054,
269
+ "eval_samples_per_second": 0.371,
270
+ "eval_steps_per_second": 0.023,
271
+ "eval_wer": 50.46156174334141,
272
+ "step": 800
273
+ },
274
+ {
275
+ "epoch": 117.86,
276
+ "learning_rate": 1.8736842105263158e-06,
277
+ "loss": 0.0004,
278
+ "step": 825
279
+ },
280
+ {
281
+ "epoch": 121.43,
282
+ "learning_rate": 1.6105263157894738e-06,
283
+ "loss": 0.0004,
284
+ "step": 850
285
+ },
286
+ {
287
+ "epoch": 125.0,
288
+ "learning_rate": 1.3473684210526316e-06,
289
+ "loss": 0.0004,
290
+ "step": 875
291
+ },
292
+ {
293
+ "epoch": 128.57,
294
+ "learning_rate": 1.0842105263157895e-06,
295
+ "loss": 0.0004,
296
+ "step": 900
297
+ },
298
+ {
299
+ "epoch": 128.57,
300
+ "eval_loss": 1.454498291015625,
301
+ "eval_runtime": 1378.7878,
302
+ "eval_samples_per_second": 0.371,
303
+ "eval_steps_per_second": 0.023,
304
+ "eval_wer": 50.529661016949156,
305
+ "step": 900
306
+ },
307
+ {
308
+ "epoch": 132.14,
309
+ "learning_rate": 8.210526315789474e-07,
310
+ "loss": 0.0003,
311
+ "step": 925
312
+ },
313
+ {
314
+ "epoch": 135.71,
315
+ "learning_rate": 5.578947368421053e-07,
316
+ "loss": 0.0003,
317
+ "step": 950
318
+ },
319
+ {
320
+ "epoch": 139.29,
321
+ "learning_rate": 2.9473684210526315e-07,
322
+ "loss": 0.0003,
323
+ "step": 975
324
+ },
325
+ {
326
+ "epoch": 142.86,
327
+ "learning_rate": 3.157894736842106e-08,
328
+ "loss": 0.0003,
329
+ "step": 1000
330
+ },
331
+ {
332
+ "epoch": 142.86,
333
+ "eval_loss": 1.4602879285812378,
334
+ "eval_runtime": 1395.1761,
335
+ "eval_samples_per_second": 0.367,
336
+ "eval_steps_per_second": 0.023,
337
+ "eval_wer": 50.56749394673123,
338
+ "step": 1000
339
+ },
340
+ {
341
+ "epoch": 146.43,
342
+ "learning_rate": 1.4957983193277311e-06,
343
+ "loss": 0.0003,
344
+ "step": 1025
345
+ },
346
+ {
347
+ "epoch": 150.0,
348
+ "learning_rate": 1.2857142857142856e-06,
349
+ "loss": 0.0003,
350
+ "step": 1050
351
+ },
352
+ {
353
+ "epoch": 153.57,
354
+ "learning_rate": 1.0756302521008405e-06,
355
+ "loss": 0.0003,
356
+ "step": 1075
357
+ },
358
+ {
359
+ "epoch": 157.14,
360
+ "learning_rate": 8.65546218487395e-07,
361
+ "loss": 0.0003,
362
+ "step": 1100
363
+ },
364
+ {
365
+ "epoch": 157.14,
366
+ "eval_loss": 1.4750263690948486,
367
+ "eval_runtime": 1385.2093,
368
+ "eval_samples_per_second": 0.37,
369
+ "eval_steps_per_second": 0.023,
370
+ "eval_wer": 50.559927360774815,
371
+ "step": 1100
372
+ },
373
+ {
374
+ "epoch": 160.71,
375
+ "learning_rate": 6.554621848739497e-07,
376
+ "loss": 0.0003,
377
+ "step": 1125
378
+ },
379
+ {
380
+ "epoch": 164.29,
381
+ "learning_rate": 4.4537815126050424e-07,
382
+ "loss": 0.0003,
383
+ "step": 1150
384
+ },
385
+ {
386
+ "epoch": 167.86,
387
+ "learning_rate": 2.3529411764705883e-07,
388
+ "loss": 0.0003,
389
+ "step": 1175
390
+ },
391
+ {
392
+ "epoch": 171.43,
393
+ "learning_rate": 2.521008403361345e-08,
394
+ "loss": 0.0003,
395
+ "step": 1200
396
+ },
397
+ {
398
+ "epoch": 171.43,
399
+ "eval_loss": 1.4806574583053589,
400
+ "eval_runtime": 1382.0563,
401
+ "eval_samples_per_second": 0.37,
402
+ "eval_steps_per_second": 0.023,
403
+ "eval_wer": 50.544794188861985,
404
+ "step": 1200
405
+ }
406
+ ],
407
+ "max_steps": 1200,
408
+ "num_train_epochs": 172,
409
+ "total_flos": 7.541555843137536e+19,
410
+ "trial_name": null,
411
+ "trial_params": null
412
+ }
checkpoint-1200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9805d9bd109ed2a40594bfd2ab0a7e52952d96b67a7bca4857b01ac1f91b928
3
+ size 3579