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wav2vec2-large-xlsr-53-portuguese
rlimonta/wav2vec2-large-xlsr-53-portuguese
wav2vec2-large-xlsr-53-portuguese is a automatic speech recognition model from rlimonta. 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
- May 8, 2025
- Updated
- May 8, 2025
- SHA
- c87f7f52
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. -->
Wav2Vec2 Large XLSR-53 Portuguese - Ricardo Limonta
This model is a fine-tuned version of lgris/wav2vec2-large-xlsr-open-brazilian-portuguese-v2 on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1656
- Wer: 0.1209
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.0499 | 0.6361 | 1000 | 0.2436 | 0.1808 |
| 0.4775 | 1.2723 | 2000 | 0.2135 | 0.1544 |
| 0.4073 | 1.9084 | 3000 | 0.1852 | 0.1528 |
| 0.3635 | 2.5445 | 4000 | 0.1902 | 0.1451 |
| 0.3448 | 3.1807 | 5000 | 0.1859 | 0.1403 |
| 0.3195 | 3.8168 | 6000 | 0.1932 | 0.1379 |
| 0.2912 | 4.4529 | 7000 | 0.1799 | 0.1327 |
| 0.2714 | 5.0891 | 8000 | 0.1746 | 0.1277 |
| 0.2598 | 5.7252 | 9000 | 0.1794 | 0.1258 |
| 0.2477 | 6.3613 | 10000 | 0.1706 | 0.1233 |
| 0.2347 | 6.9975 | 11000 | 0.1682 | 0.1213 |
| 0.2235 | 7.6336 | 12000 | 0.1656 | 0.1209 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Languages
- pt
- Created
- May 8, 2025
- Updated
- May 8, 2025