wav2vec2-4
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: 3.1442
- 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.1303 | 1.37 | 200 | 3.2783 | 1.0 |
| 2.8798 | 2.74 | 400 | 3.1233 | 1.0 |
| 2.8586 | 4.11 | 600 | 3.1612 | 1.0 |
| 2.8613 | 5.48 | 800 | 3.1354 | 1.0 |
| 2.8588 | 6.85 | 1000 | 3.2634 | 1.0 |
| 2.8572 | 8.22 | 1200 | 3.0905 | 1.0 |
| 2.8573 | 9.59 | 1400 | 3.2315 | 1.0 |
| 2.8532 | 10.96 | 1600 | 3.0999 | 1.0 |
| 2.8567 | 12.33 | 1800 | 3.1496 | 1.0 |
| 2.8556 | 13.7 | 2000 | 3.1081 | 1.0 |
| 2.8551 | 15.07 | 2200 | 3.1139 | 1.0 |
| 2.8545 | 16.44 | 2400 | 3.1621 | 1.0 |
| 2.8547 | 17.81 | 2600 | 3.1124 | 1.0 |
| 2.8551 | 19.18 | 2800 | 3.1612 | 1.0 |
| 2.854 | 20.55 | 3000 | 3.1052 | 1.0 |
| 2.8542 | 21.92 | 3200 | 3.1558 | 1.0 |
| 2.8544 | 23.29 | 3400 | 3.1370 | 1.0 |
| 2.8546 | 24.66 | 3600 | 3.1616 | 1.0 |
| 2.8563 | 26.03 | 3800 | 3.1366 | 1.0 |
| 2.8514 | 27.4 | 4000 | 3.1434 | 1.0 |
| 2.8543 | 28.77 | 4200 | 3.1442 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1