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wav2vec2-base-librispeech32
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3137
- Wer: 0.1101
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6899 | 2.07 | 500 | 2.7071 | 0.9991 |
| 0.5624 | 4.13 | 1000 | 0.4322 | 0.2304 |
| 0.1855 | 6.2 | 1500 | 0.4234 | 0.2023 |
| 0.1224 | 8.26 | 2000 | 0.4044 | 0.1852 |
| 0.0928 | 10.33 | 2500 | 0.4644 | 0.2213 |
| 0.0766 | 12.4 | 3000 | 0.3669 | 0.1459 |
| 0.0655 | 14.46 | 3500 | 0.3215 | 0.1414 |
| 0.0544 | 16.53 | 4000 | 0.3524 | 0.1292 |
| 0.0475 | 18.6 | 4500 | 0.4299 | 0.1818 |
| 0.0405 | 20.66 | 5000 | 0.3026 | 0.1226 |
| 0.0361 | 22.73 | 5500 | 0.3132 | 0.1206 |
| 0.0329 | 24.79 | 6000 | 0.3409 | 0.1086 |
| 0.03 | 26.86 | 6500 | 0.3183 | 0.1099 |
| 0.0276 | 28.93 | 7000 | 0.3137 | 0.1101 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
