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wav2vec_arabic_mdd_v2
nrshoudi/wav2vec_arabic_mdd_v2
wav2vec_arabic_mdd_v2 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
- Apr 23, 2024
- Updated
- Apr 24, 2024
- SHA
- 4fac17e5
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_mdd_v2
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2736
- Wer: 0.0492
- Cer: 0.0378
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 5.2969 | 0.9951 | 102 | 4.4152 | 1.0 | 1.0 |
| 3.2462 | 2.0 | 205 | 3.2917 | 1.0 | 1.0 |
| 3.1998 | 2.9951 | 307 | 3.2287 | 1.0 | 1.0 |
| 3.2577 | 4.0 | 410 | 3.1610 | 1.0 | 1.0 |
| 2.4548 | 4.9951 | 512 | 2.5563 | 0.9881 | 0.9914 |
| 0.678 | 6.0 | 615 | 0.7636 | 0.2986 | 0.2701 |
| 0.1777 | 6.9951 | 717 | 0.3790 | 0.0925 | 0.0781 |
| 0.1097 | 8.0 | 820 | 0.3732 | 0.0865 | 0.0694 |
| 0.0737 | 8.9951 | 922 | 0.3027 | 0.0641 | 0.0511 |
| 0.0526 | 10.0 | 1025 | 0.2834 | 0.0699 | 0.0578 |
| 0.0471 | 10.9951 | 1127 | 0.2601 | 0.0541 | 0.0435 |
| 0.0349 | 12.0 | 1230 | 0.2803 | 0.0518 | 0.0396 |
| 0.029 | 12.9951 | 1332 | 0.2710 | 0.0502 | 0.0378 |
| 0.0225 | 14.0 | 1435 | 0.2835 | 0.0494 | 0.0378 |
| 0.023 | 14.9951 | 1537 | 0.2909 | 0.0483 | 0.0368 |
| 0.0247 | 16.0 | 1640 | 0.2725 | 0.0480 | 0.0361 |
| 0.035 | 16.9951 | 1742 | 0.2696 | 0.0489 | 0.0372 |
| 0.0156 | 18.0 | 1845 | 0.2742 | 0.0482 | 0.0364 |
| 0.0183 | 18.9951 | 1947 | 0.2741 | 0.0492 | 0.0376 |
| 0.0179 | 19.9024 | 2040 | 0.2736 | 0.0492 | 0.0378 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 23, 2024
- Updated
- Apr 24, 2024