razhan commited on
Commit
f3b6341
1 Parent(s): 4c00ac4
README.md CHANGED
@@ -1,59 +1,24 @@
1
  ---
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- language:
3
- - ckb
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- - ku
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  license: apache-2.0
 
6
  tags:
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- - whisper-event
8
  - generated_from_trainer
9
- datasets:
10
- - mozilla-foundation/common_voice_11_0
11
- - google/fleurs
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  metrics:
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  - wer
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- - cer
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- base_model: openai/whisper-small
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  model-index:
17
- - name: Whisper Small Ckb - Razhan Hameed
18
- results:
19
- - task:
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- type: automatic-speech-recognition
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- name: Automatic Speech Recognition
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- dataset:
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- name: Common Voice 11.0
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- type: mozilla-foundation/common_voice_11_0
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- config: ckb
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- split: test
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- metrics:
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- - type: wer
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- value: 33.2192952446117
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- name: Wer
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- - task:
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- type: automatic-speech-recognition
33
- name: Automatic Speech Recognition
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- dataset:
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- name: razhan/asosoft-speech
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- type: razhan/asosoft-speech
37
- config: ckb
38
- split: test
39
- metrics:
40
- - type: wer
41
- value: 31.94
42
- name: WER
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- - type: cer
44
- value: 5.65
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- name: CER
46
  ---
47
 
48
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
49
  should probably proofread and complete it, then remove this comment. -->
50
 
51
- # Whisper Small Ckb - Razhan Hameed
52
 
53
- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3825
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- - Wer: 33.2193
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58
  ## Model description
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@@ -73,36 +38,29 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 1e-05
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- - train_batch_size: 64
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  - eval_batch_size: 32
78
  - seed: 42
 
79
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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- - training_steps: 12000
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- - mixed_precision_training: Native AMP
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85
  ### Training results
86
 
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- | Training Loss | Epoch | Step | Validation Loss | Wer |
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- |:-------------:|:-----:|:-----:|:---------------:|:-------:|
89
- | 0.1693 | 2.49 | 1000 | 0.2060 | 39.1265 |
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- | 0.0722 | 4.98 | 2000 | 0.2124 | 36.3173 |
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- | 0.0127 | 7.46 | 3000 | 0.2736 | 36.5568 |
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- | 0.008 | 9.95 | 4000 | 0.3131 | 35.7015 |
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- | 0.0032 | 12.44 | 5000 | 0.3434 | 35.3936 |
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- | 0.0028 | 14.93 | 6000 | 0.3453 | 35.9258 |
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- | 0.003 | 17.41 | 7000 | 0.3558 | 34.9565 |
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- | 0.0022 | 19.9 | 8000 | 0.3593 | 34.2722 |
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- | 0.0016 | 22.39 | 9000 | 0.3639 | 34.3369 |
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- | 0.0015 | 24.88 | 10000 | 0.3785 | 34.0062 |
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- | 0.0009 | 27.36 | 11000 | 0.3915 | 34.2951 |
100
- | 0.0001 | 29.85 | 12000 | 0.3825 | 33.2193 |
101
 
102
 
103
  ### Framework versions
104
 
105
- - Transformers 4.26.0.dev0
106
- - Pytorch 1.13.0+cu117
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- - Datasets 2.7.1.dev0
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- - Tokenizers 0.13.2
 
1
  ---
 
 
 
2
  license: apache-2.0
3
+ base_model: openai/whisper-small
4
  tags:
 
5
  - generated_from_trainer
 
 
 
6
  metrics:
7
  - wer
 
 
8
  model-index:
9
+ - name: whisper-small-sorani
10
+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
  should probably proofread and complete it, then remove this comment. -->
15
 
16
+ # whisper-small-sorani
17
 
18
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.0334
21
+ - Wer: 0.0613
22
 
23
  ## Model description
24
 
 
38
 
39
  The following hyperparameters were used during training:
40
  - learning_rate: 1e-05
41
+ - train_batch_size: 56
42
  - eval_batch_size: 32
43
  - seed: 42
44
+ - distributed_type: multi-GPU
45
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
  - lr_scheduler_type: linear
47
  - lr_scheduler_warmup_steps: 500
48
+ - training_steps: 5000
 
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Wer |
53
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
54
+ | 0.1005 | 0.55 | 1000 | 0.1405 | 0.2743 |
55
+ | 0.0711 | 1.09 | 2000 | 0.0858 | 0.1772 |
56
+ | 0.0609 | 1.64 | 3000 | 0.0585 | 0.1151 |
57
+ | 0.02 | 2.19 | 4000 | 0.0408 | 0.0789 |
58
+ | 0.0169 | 2.74 | 5000 | 0.0334 | 0.0613 |
 
 
 
 
 
 
 
59
 
60
 
61
  ### Framework versions
62
 
63
+ - Transformers 4.34.0.dev0
64
+ - Pytorch 2.0.1+cu117
65
+ - Datasets 2.14.5
66
+ - Tokenizers 0.14.0
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