Baselhany commited on
Commit
72f80b2
·
verified ·
1 Parent(s): 5458db5

Model save

Browse files
README.md CHANGED
@@ -1,27 +1,25 @@
1
  ---
2
  library_name: transformers
3
- language:
4
- - ar
5
  license: apache-2.0
6
- base_model: openai/whisper-base
7
  tags:
8
  - generated_from_trainer
9
  metrics:
10
  - wer
11
  model-index:
12
- - name: Whisper base AR - BA
13
  results: []
14
  ---
15
 
16
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
  should probably proofread and complete it, then remove this comment. -->
18
 
19
- # Whisper base AR - BA
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: 0.0043
24
- - Wer: 0.0657
25
 
26
  ## Model description
27
 
@@ -56,21 +54,21 @@ The following hyperparameters were used during training:
56
 
57
  | Training Loss | Epoch | Step | Validation Loss | Wer |
58
  |:-------------:|:-------:|:----:|:---------------:|:------:|
59
- | 0.9953 | 1.0 | 469 | 0.0058 | 0.0730 |
60
- | 0.6498 | 2.0 | 938 | 0.0062 | 0.0757 |
61
- | 0.4318 | 3.0 | 1407 | 0.0063 | 0.0736 |
62
- | 0.3369 | 4.0 | 1876 | 0.0062 | 0.0776 |
63
- | 0.2486 | 5.0 | 2345 | 0.0060 | 0.0706 |
64
- | 0.2216 | 6.0 | 2814 | 0.0059 | 0.0725 |
65
- | 0.1827 | 7.0 | 3283 | 0.0057 | 0.0738 |
66
- | 0.1549 | 8.0 | 3752 | 0.0057 | 0.0670 |
67
- | 0.141 | 9.0 | 4221 | 0.0056 | 0.0694 |
68
- | 0.1165 | 10.0 | 4690 | 0.0055 | 0.0651 |
69
- | 0.0959 | 11.0 | 5159 | 0.0055 | 0.0708 |
70
- | 0.0797 | 12.0 | 5628 | 0.0055 | 0.0681 |
71
- | 0.0668 | 13.0 | 6097 | 0.0054 | 0.0668 |
72
- | 0.0466 | 14.0 | 6566 | 0.0054 | 0.0670 |
73
- | 0.0459 | 14.9685 | 7020 | 0.0055 | 0.0687 |
74
 
75
 
76
  ### Framework versions
 
1
  ---
2
  library_name: transformers
 
 
3
  license: apache-2.0
4
+ base_model: Baselhany/Graduation_Project_distillation_Whisper_base2
5
  tags:
6
  - generated_from_trainer
7
  metrics:
8
  - wer
9
  model-index:
10
+ - name: Graduation_Project_distillation_Whisper_base2
11
  results: []
12
  ---
13
 
14
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
  should probably proofread and complete it, then remove this comment. -->
16
 
17
+ # Graduation_Project_distillation_Whisper_base2
18
 
19
+ This model is a fine-tuned version of [Baselhany/Graduation_Project_distillation_Whisper_base2](https://huggingface.co/Baselhany/Graduation_Project_distillation_Whisper_base2) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0041
22
+ - Wer: 0.0612
23
 
24
  ## Model description
25
 
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Wer |
56
  |:-------------:|:-------:|:----:|:---------------:|:------:|
57
+ | 0.9062 | 1.0 | 469 | 0.0057 | 0.0711 |
58
+ | 0.5562 | 2.0 | 938 | 0.0060 | 0.0740 |
59
+ | 0.455 | 3.0 | 1407 | 0.0060 | 0.0730 |
60
+ | 0.2991 | 4.0 | 1876 | 0.0059 | 0.0706 |
61
+ | 0.2373 | 5.0 | 2345 | 0.0058 | 0.0711 |
62
+ | 0.1748 | 6.0 | 2814 | 0.0055 | 0.0692 |
63
+ | 0.1492 | 7.0 | 3283 | 0.0056 | 0.0653 |
64
+ | 0.1477 | 8.0 | 3752 | 0.0055 | 0.0672 |
65
+ | 0.1326 | 9.0 | 4221 | 0.0055 | 0.0683 |
66
+ | 0.1169 | 10.0 | 4690 | 0.0054 | 0.0700 |
67
+ | 0.083 | 11.0 | 5159 | 0.0054 | 0.0677 |
68
+ | 0.0696 | 12.0 | 5628 | 0.0054 | 0.0653 |
69
+ | 0.0614 | 13.0 | 6097 | 0.0053 | 0.0681 |
70
+ | 0.0457 | 14.0 | 6566 | 0.0053 | 0.0655 |
71
+ | 0.0383 | 14.9685 | 7020 | 0.0053 | 0.0643 |
72
 
73
 
74
  ### Framework versions
runs/Jun22_09-19-46_168f3ee8d230/events.out.tfevents.1750610428.168f3ee8d230.19.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb531e468d607a9cc65551f48d326364c8a330e03194dfd1ae938995f686e555
3
+ size 406