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wav2vec2-16
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: 3.1016
- 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: 0.001
- 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 |
|---|---|---|---|---|
| 3.6682 | 1.37 | 200 | 3.3138 | 1.0 |
| 2.8751 | 2.74 | 400 | 2.9984 | 1.0 |
| 2.8697 | 4.11 | 600 | 3.0827 | 1.0 |
| 2.866 | 5.48 | 800 | 3.0697 | 1.0 |
| 2.8655 | 6.85 | 1000 | 3.1083 | 1.0 |
| 2.8629 | 8.22 | 1200 | 3.0888 | 1.0 |
| 2.8651 | 9.59 | 1400 | 3.2852 | 1.0 |
| 2.8601 | 10.96 | 1600 | 3.1155 | 1.0 |
| 2.8617 | 12.33 | 1800 | 3.1958 | 1.0 |
| 2.8595 | 13.7 | 2000 | 3.1070 | 1.0 |
| 2.858 | 15.07 | 2200 | 3.1483 | 1.0 |
| 2.8564 | 16.44 | 2400 | 3.0906 | 1.0 |
| 2.8561 | 17.81 | 2600 | 3.1412 | 1.0 |
| 2.8574 | 19.18 | 2800 | 3.0783 | 1.0 |
| 2.8543 | 20.55 | 3000 | 3.0624 | 1.0 |
| 2.8549 | 21.92 | 3200 | 3.0914 | 1.0 |
| 2.8556 | 23.29 | 3400 | 3.0735 | 1.0 |
| 2.8557 | 24.66 | 3600 | 3.1791 | 1.0 |
| 2.8576 | 26.03 | 3800 | 3.0645 | 1.0 |
| 2.8528 | 27.4 | 4000 | 3.1190 | 1.0 |
| 2.8551 | 28.77 | 4200 | 3.1016 | 1.0 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
