Hugging Face's logo

Dragon116rus
/
whisper-small-distill-ru

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
OpenVINO
whisper
Model card Files Metrics Community
Dragon116rus commited on
Commit
0826151
·
verified ·
1 Parent(s): f067162

Saving train state of step 8000

Browse files
Files changed (15) hide show
  1. checkpoint-8000-epoch-9/model.safetensors +3 -0
  2. checkpoint-8000-epoch-9/model_1.safetensors +3 -0
  3. checkpoint-8000-epoch-9/optimizer.bin +3 -0
  4. checkpoint-8000-epoch-9/random_states_0.pkl +3 -0
  5. checkpoint-8000-epoch-9/scaler.pt +3 -0
  6. checkpoint-8000-epoch-9/scheduler.bin +3 -0
  7. distil-whisper/events.out.tfevents.1712421884.train02.3768589.0 +2 -2
  8. dvclive/metrics.json +7 -7
  9. dvclive/plots/metrics/eval/epoch.tsv +1 -0
  10. dvclive/plots/metrics/eval/time.tsv +1 -0
  11. dvclive/plots/metrics/eval/wer.tsv +1 -0
  12. dvclive/plots/metrics/eval/wer_ortho.tsv +1 -0
  13. dvclive/plots/metrics/train/epoch.tsv +40 -0
  14. dvclive/plots/metrics/train/learning_rate.tsv +40 -0
  15. dvclive/plots/metrics/train/time.tsv +40 -0
checkpoint-8000-epoch-9/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c71febab9076ef6c9737ad4fa35ab158401160eee76ac0a27519a6ba3c8d465b
3
+ size 151061672
checkpoint-8000-epoch-9/model_1.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ebbfa67ed17e8d4731d4904c8b72bb4c347e491079f837135848fc5921cf714
3
+ size 1527827760
checkpoint-8000-epoch-9/optimizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2006c352a6bc55313dc7a7e3cf97316744df5bf348d8f0dd5a137aa32ebb8e6
3
+ size 235125050
checkpoint-8000-epoch-9/random_states_0.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f23ac2a8220cee749628c7ff68693932a089d9c7463a4a70f8c091eba3545d4e
3
+ size 14344
checkpoint-8000-epoch-9/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27d0ca85758d4fc77f4ed28ffa6d9dd00b078d162df9fcf2c2e930ea57752de3
3
+ size 988
checkpoint-8000-epoch-9/scheduler.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10fb021e1584a0a54bad3cb21af383e8d5414806a85fdd3de2be0b0f3a5126b7
3
+ size 1064
distil-whisper/events.out.tfevents.1712421884.train02.3768589.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e95404142d09b1b75f2359293a6613815d85a9238ea48748d515d5a3847e0edd
3
- size 88940
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7373574f874810e081de42a65d241188c98a4b8b243d59d32c1461843f689eb
3
+ size 101687
dvclive/metrics.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "train": {
3
- "time": 2647.4610664844513,
4
- "epoch": 8,
5
  "learning_rate": 0.0001
6
  },
7
- "step": 7000,
8
  "eval": {
9
- "wer": 31.335706983466704,
10
- "wer_ortho": 37.82644831259438,
11
- "time": 197.02803254127502,
12
- "epoch": 6
13
  }
14
  }
 
1
  {
2
  "train": {
3
+ "time": 3052.8558712005615,
4
+ "epoch": 9,
5
  "learning_rate": 0.0001
6
  },
7
+ "step": 8000,
8
  "eval": {
9
+ "wer": 31.533119469806465,
10
+ "wer_ortho": 37.91541315977384,
11
+ "time": 196.50980472564697,
12
+ "epoch": 8
13
  }
14
  }
dvclive/plots/metrics/eval/epoch.tsv CHANGED
@@ -5,3 +5,4 @@ step epoch
5
  4000 4
6
  5000 5
7
  6000 6
 
 
5
  4000 4
6
  5000 5
7
  6000 6
8
+ 7000 8
dvclive/plots/metrics/eval/time.tsv CHANGED
@@ -5,3 +5,4 @@ step time
5
  4000 199.04552340507507
6
  5000 197.70811486244202
7
  6000 197.02803254127502
 
 
5
  4000 199.04552340507507
6
  5000 197.70811486244202
7
  6000 197.02803254127502
8
+ 7000 196.50980472564697
dvclive/plots/metrics/eval/wer.tsv CHANGED
@@ -5,3 +5,4 @@ step wer
5
  4000 32.6200632189986
6
  5000 31.801036415553284
7
  6000 31.335706983466704
 
 
5
  4000 32.6200632189986
6
  5000 31.801036415553284
7
  6000 31.335706983466704
8
+ 7000 31.533119469806465
dvclive/plots/metrics/eval/wer_ortho.tsv CHANGED
@@ -5,3 +5,4 @@ step wer_ortho
5
  4000 38.76174979807321
6
  5000 38.32863146312056
7
  6000 37.82644831259438
 
 
5
  4000 38.76174979807321
6
  5000 38.32863146312056
7
  6000 37.82644831259438
8
+ 7000 37.91541315977384
dvclive/plots/metrics/train/epoch.tsv CHANGED
@@ -279,3 +279,43 @@ step epoch
279
  6950 8
280
  6975 8
281
  7000 8
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
279
  6950 8
280
  6975 8
281
  7000 8
282
+ 7025 8
283
+ 7050 8
284
+ 7075 8
285
+ 7100 8
286
+ 7125 8
287
+ 7150 8
288
+ 7175 8
289
+ 7200 8
290
+ 7225 8
291
+ 7250 8
292
+ 7275 8
293
+ 7300 8
294
+ 7325 8
295
+ 7350 8
296
+ 7375 8
297
+ 7400 8
298
+ 7425 8
299
+ 7450 8
300
+ 7475 8
301
+ 7500 8
302
+ 7525 8
303
+ 7550 8
304
+ 7575 8
305
+ 7600 8
306
+ 7625 8
307
+ 7650 8
308
+ 7675 8
309
+ 7700 8
310
+ 7725 8
311
+ 7750 9
312
+ 7775 9
313
+ 7800 9
314
+ 7825 9
315
+ 7850 9
316
+ 7875 9
317
+ 7900 9
318
+ 7925 9
319
+ 7950 9
320
+ 7975 9
321
+ 8000 9
dvclive/plots/metrics/train/learning_rate.tsv CHANGED
@@ -279,3 +279,43 @@ step learning_rate
279
  6950 0.0001
280
  6975 0.0001
281
  7000 0.0001
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
279
  6950 0.0001
280
  6975 0.0001
281
  7000 0.0001
282
+ 7025 0.0001
283
+ 7050 0.0001
284
+ 7075 0.0001
285
+ 7100 0.0001
286
+ 7125 0.0001
287
+ 7150 0.0001
288
+ 7175 0.0001
289
+ 7200 0.0001
290
+ 7225 0.0001
291
+ 7250 0.0001
292
+ 7275 0.0001
293
+ 7300 0.0001
294
+ 7325 0.0001
295
+ 7350 0.0001
296
+ 7375 0.0001
297
+ 7400 0.0001
298
+ 7425 0.0001
299
+ 7450 0.0001
300
+ 7475 0.0001
301
+ 7500 0.0001
302
+ 7525 0.0001
303
+ 7550 0.0001
304
+ 7575 0.0001
305
+ 7600 0.0001
306
+ 7625 0.0001
307
+ 7650 0.0001
308
+ 7675 0.0001
309
+ 7700 0.0001
310
+ 7725 0.0001
311
+ 7750 0.0001
312
+ 7775 0.0001
313
+ 7800 0.0001
314
+ 7825 0.0001
315
+ 7850 0.0001
316
+ 7875 0.0001
317
+ 7900 0.0001
318
+ 7925 0.0001
319
+ 7950 0.0001
320
+ 7975 0.0001
321
+ 8000 0.0001
dvclive/plots/metrics/train/time.tsv CHANGED
@@ -279,3 +279,43 @@ step time
279
  6950 2629.772106409073
280
  6975 2638.6147785186768
281
  7000 2647.4610664844513
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
279
  6950 2629.772106409073
280
  6975 2638.6147785186768
281
  7000 2647.4610664844513
282
+ 7025 2706.6247136592865
283
+ 7050 2715.457200050354
284
+ 7075 2724.2895126342773
285
+ 7100 2733.126413345337
286
+ 7125 2741.9674355983734
287
+ 7150 2750.8093395233154
288
+ 7175 2759.6501722335815
289
+ 7200 2768.491984128952
290
+ 7225 2777.336275577545
291
+ 7250 2786.18155837059
292
+ 7275 2795.0232741832733
293
+ 7300 2803.865471601486
294
+ 7325 2812.7095305919647
295
+ 7350 2821.5528275966644
296
+ 7375 2830.3962054252625
297
+ 7400 2839.2411341667175
298
+ 7425 2848.085478067398
299
+ 7450 2856.925533771515
300
+ 7475 2865.7712030410767
301
+ 7500 2874.6173572540283
302
+ 7525 2883.4636130332947
303
+ 7550 2892.3082690238953
304
+ 7575 2901.1549830436707
305
+ 7600 2910.0034081935883
306
+ 7625 2918.848977088928
307
+ 7650 2927.698133468628
308
+ 7675 2936.5428833961487
309
+ 7700 2945.3899807929993
310
+ 7725 2954.2360372543335
311
+ 7750 2964.36967086792
312
+ 7775 2973.2180321216583
313
+ 7800 2982.0658025741577
314
+ 7825 2990.9109270572662
315
+ 7850 2999.758948326111
316
+ 7875 3008.605284690857
317
+ 7900 3017.455575942993
318
+ 7925 3026.307055950165
319
+ 7950 3035.1590387821198
320
+ 7975 3044.006355524063
321
+ 8000 3052.8558712005615