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huber_arabic_mdd_v2
nrshoudi/huber_arabic_mdd_v2
huber_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
- hubert
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024
- SHA
- 28ea6e48
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. -->
huber_arabic_mdd_v2
This model is a fine-tuned version of facebook/hubert-large-ll60k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2858
- Wer: 0.0564
- Cer: 0.0459
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 |
|---|---|---|---|---|---|
| 3.3219 | 0.9951 | 102 | 3.2861 | 1.0 | 1.0 |
| 3.2152 | 2.0 | 205 | 3.1685 | 1.0 | 1.0 |
| 2.5507 | 2.9951 | 307 | 2.3708 | 0.9718 | 0.9819 |
| 0.5766 | 4.0 | 410 | 0.6351 | 0.2216 | 0.2046 |
| 0.2255 | 4.9951 | 512 | 0.3469 | 0.0889 | 0.0740 |
| 0.1148 | 6.0 | 615 | 0.3393 | 0.0776 | 0.0635 |
| 0.1222 | 6.9951 | 717 | 0.3368 | 0.0688 | 0.0535 |
| 0.075 | 8.0 | 820 | 0.2846 | 0.0610 | 0.0479 |
| 0.0631 | 8.9951 | 922 | 0.2948 | 0.0589 | 0.0453 |
| 0.0365 | 10.0 | 1025 | 0.2657 | 0.0552 | 0.0432 |
| 0.0484 | 10.9951 | 1127 | 0.2631 | 0.0573 | 0.0458 |
| 0.046 | 12.0 | 1230 | 0.2817 | 0.0572 | 0.0462 |
| 0.0326 | 12.9951 | 1332 | 0.2807 | 0.0587 | 0.0473 |
| 0.0379 | 14.0 | 1435 | 0.2682 | 0.0590 | 0.0479 |
| 0.0328 | 14.9951 | 1537 | 0.2773 | 0.0545 | 0.0440 |
| 0.0398 | 16.0 | 1640 | 0.2727 | 0.0576 | 0.0462 |
| 0.0165 | 16.9951 | 1742 | 0.2844 | 0.0573 | 0.0466 |
| 0.0201 | 18.0 | 1845 | 0.2812 | 0.0564 | 0.0455 |
| 0.0207 | 18.9951 | 1947 | 0.2860 | 0.0569 | 0.0465 |
| 0.0194 | 19.9024 | 2040 | 0.2858 | 0.0564 | 0.0459 |
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
- hubert
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024