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wav2vec_cv
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1760
- Wer: 1.0
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: 0.003
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.1467 | 4.29 | 30 | 4.2173 | 1.0 |
| 6.8918 | 8.57 | 60 | 4.2004 | 1.0 |
| 5.4913 | 12.86 | 90 | 4.2007 | 1.0 |
| 5.3906 | 17.14 | 120 | 4.1765 | 1.0 |
| 4.9212 | 21.43 | 150 | 4.1714 | 1.0 |
| 4.3916 | 25.71 | 180 | 4.1811 | 1.0 |
| 5.2255 | 30.0 | 210 | 4.1633 | 1.0 |
| 4.501 | 34.29 | 240 | 4.2050 | 1.0 |
| 4.4328 | 38.57 | 270 | 4.1572 | 1.0 |
| 4.2136 | 42.86 | 300 | 4.1698 | 1.0 |
| 4.3353 | 47.14 | 330 | 4.1721 | 1.0 |
| 4.1805 | 51.43 | 360 | 4.1804 | 1.0 |
| 4.1695 | 55.71 | 390 | 4.1801 | 1.0 |
| 4.2978 | 60.0 | 420 | 4.1760 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
