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
95ab163
·
verified ·
1 Parent(s): 0bb679f

Training finished

Browse files
Files changed (2) hide show
  1. README.md +29 -29
  2. runs/Feb28_12-26-29_68503978adda/events.out.tfevents.1740784499.68503978adda.23.1 +3 -0
README.md CHANGED
@@ -20,8 +20,8 @@ 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: 0.0047
24
- - Wer: 0.0610
25
  - Cer: 0.0244
26
 
27
  ## Model description
@@ -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
- | 0.0021 | 1.0 | 500 | 0.0050 | 0.0583 | 0.0225 |
61
- | 0.0026 | 2.0 | 1000 | 0.0063 | 0.0681 | 0.0238 |
62
- | 0.0012 | 3.0 | 1500 | 0.0065 | 0.0657 | 0.0238 |
63
- | 0.0009 | 4.0 | 2000 | 0.0072 | 0.0706 | 0.0251 |
64
- | 0.0008 | 5.0 | 2500 | 0.0076 | 0.0769 | 0.0287 |
65
- | 0.0007 | 6.0 | 3000 | 0.0075 | 0.0699 | 0.0275 |
66
- | 0.0006 | 7.0 | 3500 | 0.0076 | 0.0691 | 0.0243 |
67
- | 0.0002 | 8.0 | 4000 | 0.0079 | 0.0700 | 0.0267 |
68
- | 0.0004 | 9.0 | 4500 | 0.0084 | 0.0748 | 0.0270 |
69
- | 0.0004 | 10.0 | 5000 | 0.0087 | 0.0742 | 0.0254 |
70
- | 0.0003 | 11.0 | 5500 | 0.0089 | 0.0762 | 0.0301 |
71
- | 0.0003 | 12.0 | 6000 | 0.0084 | 0.0811 | 0.0299 |
72
- | 0.0002 | 13.0 | 6500 | 0.0080 | 0.0697 | 0.0249 |
73
- | 0.0002 | 14.0 | 7000 | 0.0083 | 0.0724 | 0.0268 |
74
- | 0.0001 | 15.0 | 7500 | 0.0081 | 0.0719 | 0.0266 |
75
- | 0.0 | 16.0 | 8000 | 0.0087 | 0.0711 | 0.0256 |
76
- | 0.0001 | 17.0 | 8500 | 0.0087 | 0.0664 | 0.0245 |
77
- | 0.0 | 18.0 | 9000 | 0.0086 | 0.0695 | 0.0260 |
78
- | 0.0 | 19.0 | 9500 | 0.0089 | 0.0661 | 0.0239 |
79
- | 0.0 | 20.0 | 10000 | 0.0091 | 0.0681 | 0.0267 |
80
- | 0.0 | 21.0 | 10500 | 0.0092 | 0.0679 | 0.0267 |
81
- | 0.0 | 22.0 | 11000 | 0.0093 | 0.0666 | 0.0258 |
82
- | 0.0 | 23.0 | 11500 | 0.0094 | 0.0659 | 0.0258 |
83
- | 0.0 | 24.0 | 12000 | 0.0090 | 0.0643 | 0.0267 |
84
- | 0.0 | 25.0 | 12500 | 0.0094 | 0.0653 | 0.0258 |
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: 0.0086
24
+ - Wer: 0.0612
25
  - Cer: 0.0244
26
 
27
  ## Model description
 
55
 
56
  ### Training results
57
 
58
+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
59
+ |:-------------:|:-------:|:-----:|:---------------:|:------:|:------:|
60
+ | 0.0021 | 0.9991 | 562 | 0.0065 | 0.0827 | 0.0359 |
61
+ | 0.001 | 2.0 | 1125 | 0.0072 | 0.0838 | 0.0306 |
62
+ | 0.0013 | 2.9991 | 1687 | 0.0072 | 0.0791 | 0.0286 |
63
+ | 0.0007 | 4.0 | 2250 | 0.0073 | 0.0773 | 0.0285 |
64
+ | 0.0009 | 4.9991 | 2812 | 0.0079 | 0.0802 | 0.0323 |
65
+ | 0.0003 | 6.0 | 3375 | 0.0086 | 0.0758 | 0.0289 |
66
+ | 0.0006 | 6.9991 | 3937 | 0.0087 | 0.0905 | 0.0346 |
67
+ | 0.0004 | 8.0 | 4500 | 0.0084 | 0.0724 | 0.0267 |
68
+ | 0.0003 | 8.9991 | 5062 | 0.0082 | 0.0720 | 0.0264 |
69
+ | 0.0003 | 10.0 | 5625 | 0.0081 | 0.0776 | 0.0300 |
70
+ | 0.0002 | 10.9991 | 6187 | 0.0078 | 0.0681 | 0.0254 |
71
+ | 0.0002 | 12.0 | 6750 | 0.0080 | 0.0671 | 0.0240 |
72
+ | 0.0002 | 12.9991 | 7312 | 0.0084 | 0.0695 | 0.0273 |
73
+ | 0.0001 | 14.0 | 7875 | 0.0083 | 0.0695 | 0.0264 |
74
+ | 0.0001 | 14.9991 | 8437 | 0.0087 | 0.0728 | 0.0290 |
75
+ | 0.0001 | 16.0 | 9000 | 0.0085 | 0.0675 | 0.0258 |
76
+ | 0.0 | 16.9991 | 9562 | 0.0083 | 0.0652 | 0.0257 |
77
+ | 0.0 | 18.0 | 10125 | 0.0083 | 0.0632 | 0.0248 |
78
+ | 0.0 | 18.9991 | 10687 | 0.0088 | 0.0643 | 0.0256 |
79
+ | 0.0 | 20.0 | 11250 | 0.0088 | 0.0617 | 0.0258 |
80
+ | 0.0 | 20.9991 | 11812 | 0.0092 | 0.0632 | 0.0251 |
81
+ | 0.0 | 22.0 | 12375 | 0.0092 | 0.0621 | 0.0251 |
82
+ | 0.0 | 22.9991 | 12937 | 0.0093 | 0.0614 | 0.0246 |
83
+ | 0.0 | 24.0 | 13500 | 0.0086 | 0.0615 | 0.0247 |
84
+ | 0.0 | 24.9778 | 14050 | 0.0094 | 0.0605 | 0.0245 |
85
 
86
 
87
  ### Framework versions
runs/Feb28_12-26-29_68503978adda/events.out.tfevents.1740784499.68503978adda.23.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:689fc6c7bbc2f042b69b03ee023a299ce58a8231e8024cecb08fee0440eb2fc5
3
+ size 453