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wav2vec-arabic-V2-5
nrshoudi/wav2vec-arabic-V2-5
wav2vec-arabic-V2-5 is a automatic speech recognition model from nrshoudi. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024
- SHA
- d3be9676
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
wav2vec-arabic-V2-5
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2918
- Wer: 0.4135
- Per: 0.3941
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Per |
|---|---|---|---|---|---|
| 25.2164 | 1.0 | 82 | 9.3224 | 1.0 | 1.0 |
| 5.4912 | 2.0 | 164 | 3.4201 | 1.0 | 1.0 |
| 3.2902 | 3.0 | 246 | 3.2384 | 1.0 | 1.0 |
| 3.2447 | 4.0 | 328 | 3.2071 | 1.0 | 1.0 |
| 3.2259 | 5.0 | 410 | 3.2246 | 1.0 | 1.0 |
| 3.2254 | 6.0 | 492 | 3.2056 | 1.0 | 1.0 |
| 3.2116 | 7.0 | 574 | 3.2068 | 1.0 | 1.0 |
| 3.1886 | 8.0 | 656 | 3.2814 | 1.0 | 1.0 |
| 3.1499 | 9.0 | 738 | 3.1154 | 1.0 | 1.0 |
| 3.0862 | 10.0 | 820 | 3.0623 | 1.0 | 1.0 |
| 2.9718 | 11.0 | 902 | 2.9404 | 0.9973 | 0.9983 |
| 2.81 | 12.0 | 984 | 2.7654 | 0.9821 | 0.9859 |
| 2.612 | 13.0 | 1066 | 2.6608 | 0.9751 | 0.9785 |
| 2.4167 | 14.0 | 1148 | 2.2973 | 0.9051 | 0.9153 |
| 2.1839 | 15.0 | 1230 | 2.0349 | 0.7676 | 0.7781 |
| 1.8957 | 16.0 | 1312 | 1.7675 | 0.6932 | 0.6950 |
| 1.6773 | 17.0 | 1394 | 1.5461 | 0.5751 | 0.5707 |
| 1.5059 | 18.0 | 1476 | 1.4200 | 0.4381 | 0.4165 |
| 1.4219 | 19.0 | 1558 | 1.3218 | 0.4256 | 0.4049 |
| 1.3273 | 20.0 | 1640 | 1.2918 | 0.4135 | 0.3941 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Jan 3, 2024
- Updated
- Jan 3, 2024