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wav2vec-arabic-V2-50
nrshoudi/wav2vec-arabic-V2-50
wav2vec-arabic-V2-50 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
- 54845169
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-V2-50
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: 0.3408
- Wer: 0.0460
- Per: 0.0347
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 |
|---|---|---|---|---|---|
| 10.1558 | 1.0 | 818 | 3.2108 | 1.0 | 1.0 |
| 3.0783 | 2.0 | 1636 | 2.0778 | 0.9260 | 0.9396 |
| 0.7602 | 3.0 | 2454 | 0.3836 | 0.1023 | 0.0870 |
| 0.2361 | 4.0 | 3272 | 0.3251 | 0.0668 | 0.0517 |
| 0.1602 | 5.0 | 4090 | 0.3240 | 0.0664 | 0.0515 |
| 0.1216 | 6.0 | 4908 | 0.3268 | 0.0673 | 0.0531 |
| 0.1078 | 7.0 | 5726 | 0.3501 | 0.0608 | 0.0465 |
| 0.0933 | 8.0 | 6544 | 0.3451 | 0.0538 | 0.0402 |
| 0.0713 | 9.0 | 7362 | 0.3658 | 0.0539 | 0.0407 |
| 0.0687 | 10.0 | 8180 | 0.3106 | 0.0519 | 0.0386 |
| 0.0561 | 11.0 | 8998 | 0.3322 | 0.0529 | 0.0396 |
| 0.0516 | 12.0 | 9816 | 0.3243 | 0.0484 | 0.0361 |
| 0.0392 | 13.0 | 10634 | 0.3412 | 0.0475 | 0.0354 |
| 0.037 | 14.0 | 11452 | 0.3370 | 0.0477 | 0.0359 |
| 0.0318 | 15.0 | 12270 | 0.3250 | 0.0466 | 0.0358 |
| 0.0291 | 16.0 | 13088 | 0.3451 | 0.0477 | 0.0359 |
| 0.025 | 17.0 | 13906 | 0.3713 | 0.0486 | 0.0368 |
| 0.0274 | 18.0 | 14724 | 0.3299 | 0.0459 | 0.0346 |
| 0.0208 | 19.0 | 15542 | 0.3451 | 0.0463 | 0.0349 |
| 0.0187 | 20.0 | 16360 | 0.3408 | 0.0460 | 0.0347 |
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