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Whisper Small Portuguese
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 pt dataset. It achieves the following results on the evaluation set:
- Loss: 0.2738
- Wer: 11.9723
- Cer: 4.8273
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- training_steps: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.5235 | 0.92 | 500 | 0.3605 | 15.4083 | 6.1205 |
| 0.3839 | 1.84 | 1000 | 0.3034 | 14.2835 | 5.6010 |
| 0.2828 | 2.76 | 1500 | 0.2852 | 13.4977 | 5.1727 |
| 0.2367 | 3.68 | 2000 | 0.2768 | 12.9122 | 5.2280 |
| 0.1832 | 4.6 | 2500 | 0.2728 | 12.2496 | 4.9157 |
| 0.1549 | 5.52 | 3000 | 0.2730 | 12.0647 | 4.8384 |
| 0.1318 | 6.45 | 3500 | 0.2757 | 12.0955 | 4.8135 |
| 0.1077 | 7.37 | 4000 | 0.2738 | 11.9723 | 4.8273 |
| 0.0969 | 8.29 | 4500 | 0.2784 | 12.1572 | 4.9212 |
| 0.0813 | 9.21 | 5000 | 0.2805 | 12.3112 | 5.0207 |
| 0.0751 | 10.13 | 5500 | 0.2831 | 12.0801 | 4.8494 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
