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hubert_arabic_mdd
nrshoudi/hubert_arabic_mdd
hubert_arabic_mdd 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
- Nov 7, 2023
- Updated
- Dec 6, 2023
- SHA
- a5889ea1
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. -->
hubert_arabic_mdd
This model is a fine-tuned version of facebook/hubert-large-ls960-ft on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5363
- Wer: 0.0490
- Per: 0.0376
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 |
|---|---|---|---|---|---|
| 2.371 | 1.0 | 818 | 1.3106 | 0.6828 | 0.6863 |
| 0.9013 | 2.0 | 1636 | 0.4890 | 0.1144 | 0.0985 |
| 0.3369 | 3.0 | 2454 | 0.4295 | 0.0766 | 0.0611 |
| 0.2219 | 4.0 | 3272 | 0.4386 | 0.0649 | 0.0508 |
| 0.1565 | 5.0 | 4090 | 0.4124 | 0.0660 | 0.0506 |
| 0.1343 | 6.0 | 4908 | 0.4422 | 0.0630 | 0.0493 |
| 0.106 | 7.0 | 5726 | 0.4762 | 0.0600 | 0.0469 |
| 0.091 | 8.0 | 6544 | 0.4487 | 0.0580 | 0.0460 |
| 0.0745 | 9.0 | 7362 | 0.4284 | 0.0577 | 0.0461 |
| 0.0708 | 10.0 | 8180 | 0.4161 | 0.0578 | 0.0451 |
| 0.0621 | 11.0 | 8998 | 0.4659 | 0.0535 | 0.0414 |
| 0.0492 | 12.0 | 9816 | 0.5249 | 0.0557 | 0.0433 |
| 0.0479 | 13.0 | 10634 | 0.5411 | 0.0550 | 0.0426 |
| 0.0452 | 14.0 | 11452 | 0.5161 | 0.0536 | 0.0410 |
| 0.0385 | 15.0 | 12270 | 0.5002 | 0.0521 | 0.0404 |
| 0.0354 | 16.0 | 13088 | 0.4800 | 0.0499 | 0.0389 |
| 0.0342 | 17.0 | 13906 | 0.5079 | 0.0506 | 0.0394 |
| 0.0269 | 18.0 | 14724 | 0.5144 | 0.0499 | 0.0386 |
| 0.0247 | 19.0 | 15542 | 0.5334 | 0.0496 | 0.0380 |
| 0.0208 | 20.0 | 16360 | 0.5363 | 0.0490 | 0.0376 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Nov 7, 2023
- Updated
- Dec 6, 2023