Hugging Face's logo

YoussefAshmawy
/
Graduation_Project_Whisper_base

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
arabic
quran
Eval Results
Model card Files
xet
Metrics Community
YoussefAshmawy commited on
Commit
0476c6a
·
verified ·
1 Parent(s): 786b93e

Training finished

Browse files
Files changed (3) hide show
  1. README.md +30 -30
  2. model.safetensors +1 -1
  3. runs/Dec17_17-54-11_07403fc276e4/events.out.tfevents.1734489389.07403fc276e4.23.1 +3 -0
README.md CHANGED
@@ -20,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.0449
24
- - Wer: 0.2335
25
- - Cer: 0.1403
26
 
27
  ## Model description
28
 
@@ -55,33 +55,33 @@ The following hyperparameters were used during training:
55
 
56
  ### Training results
57
 
58
- | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
59
- |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
60
- | 0.0325 | 0.9984 | 312 | 0.0272 | 0.2577 | 0.1518 |
61
- | 0.02 | 2.0 | 625 | 0.0288 | 0.3105 | 0.2049 |
62
- | 0.0142 | 2.9984 | 937 | 0.0324 | 0.2710 | 0.1628 |
63
- | 0.0071 | 4.0 | 1250 | 0.0368 | 0.2844 | 0.1668 |
64
- | 0.0044 | 4.9984 | 1562 | 0.0368 | 0.2965 | 0.1727 |
65
- | 0.0033 | 6.0 | 1875 | 0.0394 | 0.2760 | 0.1565 |
66
- | 0.0023 | 6.9984 | 2187 | 0.0396 | 0.2719 | 0.1605 |
67
- | 0.0012 | 8.0 | 2500 | 0.0401 | 0.2679 | 0.1595 |
68
- | 0.0011 | 8.9984 | 2812 | 0.0401 | 0.2401 | 0.1412 |
69
- | 0.0012 | 10.0 | 3125 | 0.0415 | 0.2756 | 0.1711 |
70
- | 0.0011 | 10.9984 | 3437 | 0.0411 | 0.2508 | 0.1440 |
71
- | 0.0007 | 12.0 | 3750 | 0.0426 | 0.2658 | 0.1560 |
72
- | 0.0008 | 12.9984 | 4062 | 0.0428 | 0.2548 | 0.1476 |
73
- | 0.0007 | 14.0 | 4375 | 0.0436 | 0.2580 | 0.1531 |
74
- | 0.0006 | 14.9984 | 4687 | 0.0447 | 0.2605 | 0.1478 |
75
- | 0.0007 | 16.0 | 5000 | 0.0440 | 0.2602 | 0.1569 |
76
- | 0.0002 | 16.9984 | 5312 | 0.0435 | 0.2443 | 0.1460 |
77
- | 0.0001 | 18.0 | 5625 | 0.0443 | 0.2571 | 0.1515 |
78
- | 0.0 | 18.9984 | 5937 | 0.0435 | 0.2482 | 0.1480 |
79
- | 0.0 | 20.0 | 6250 | 0.0438 | 0.2440 | 0.1437 |
80
- | 0.0 | 20.9984 | 6562 | 0.0438 | 0.2339 | 0.1371 |
81
- | 0.0 | 22.0 | 6875 | 0.0438 | 0.2440 | 0.1465 |
82
- | 0.0 | 22.9984 | 7187 | 0.0439 | 0.2513 | 0.1522 |
83
- | 0.0 | 24.0 | 7500 | 0.0452 | 0.2363 | 0.1435 |
84
- | 0.0 | 24.96 | 7800 | 0.0440 | 0.2440 | 0.1465 |
85
 
86
 
87
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the quran-ayat-speech-to-text dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 0.0393
24
+ - Wer: 0.2318
25
+ - Cer: 0.1452
26
 
27
  ## Model description
28
 
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
59
+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
60
+ | 0.023 | 1.0 | 375 | 0.0229 | 0.2589 | 0.1613 |
61
+ | 0.0175 | 2.0 | 750 | 0.0255 | 0.2915 | 0.1839 |
62
+ | 0.0107 | 3.0 | 1125 | 0.0283 | 0.2797 | 0.1637 |
63
+ | 0.0058 | 4.0 | 1500 | 0.0317 | 0.2760 | 0.1676 |
64
+ | 0.0032 | 5.0 | 1875 | 0.0334 | 0.2704 | 0.1674 |
65
+ | 0.0028 | 6.0 | 2250 | 0.0339 | 0.2691 | 0.1650 |
66
+ | 0.0023 | 7.0 | 2625 | 0.0353 | 0.2538 | 0.1506 |
67
+ | 0.0016 | 8.0 | 3000 | 0.0369 | 0.2539 | 0.1539 |
68
+ | 0.0013 | 9.0 | 3375 | 0.0368 | 0.2542 | 0.1553 |
69
+ | 0.0011 | 10.0 | 3750 | 0.0379 | 0.2421 | 0.1426 |
70
+ | 0.0007 | 11.0 | 4125 | 0.0381 | 0.2521 | 0.1488 |
71
+ | 0.0006 | 12.0 | 4500 | 0.0381 | 0.2440 | 0.1433 |
72
+ | 0.0008 | 13.0 | 4875 | 0.0384 | 0.2785 | 0.1771 |
73
+ | 0.0005 | 14.0 | 5250 | 0.0381 | 0.2474 | 0.1511 |
74
+ | 0.0003 | 15.0 | 5625 | 0.0398 | 0.2356 | 0.1429 |
75
+ | 0.0002 | 16.0 | 6000 | 0.0393 | 0.2524 | 0.1552 |
76
+ | 0.0001 | 17.0 | 6375 | 0.0397 | 0.2287 | 0.1356 |
77
+ | 0.0 | 18.0 | 6750 | 0.0387 | 0.2368 | 0.1448 |
78
+ | 0.0001 | 19.0 | 7125 | 0.0396 | 0.2286 | 0.1359 |
79
+ | 0.0 | 20.0 | 7500 | 0.0397 | 0.2283 | 0.1360 |
80
+ | 0.0 | 21.0 | 7875 | 0.0397 | 0.2268 | 0.1371 |
81
+ | 0.0 | 22.0 | 8250 | 0.0398 | 0.2250 | 0.1372 |
82
+ | 0.0 | 23.0 | 8625 | 0.0399 | 0.2221 | 0.1334 |
83
+ | 0.0 | 24.0 | 9000 | 0.0393 | 0.2299 | 0.1428 |
84
+ | 0.0 | 25.0 | 9375 | 0.0400 | 0.2266 | 0.1370 |
85
 
86
 
87
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9e6c2d374f27bf4c0c4b0faf202ce9e163ac32cf8ada0a3f44ace972cbd25b11
3
  size 290403936
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:29287422e8c27e97eaf0bb3e5b8b9377b967ad684d145c3c6106f7c71d90f23e
3
  size 290403936
runs/Dec17_17-54-11_07403fc276e4/events.out.tfevents.1734489389.07403fc276e4.23.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8251599733913e05f1a088054a4b7668e48768b44519835e240d4315ac350d6d
3
+ size 453