whisper-small-commonvoice-en
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3573
- Wer: 14.7768
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: 3e-05
- train_batch_size: 16
- 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: 50
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2697 | 0.4545 | 50 | 0.2484 | 13.1027 |
| 0.3113 | 0.9091 | 100 | 0.2571 | 13.3482 |
| 0.0671 | 1.3636 | 150 | 0.2864 | 13.7946 |
| 0.0833 | 1.8182 | 200 | 0.2984 | 14.3973 |
| 0.0297 | 2.2727 | 250 | 0.3126 | 14.2411 |
| 0.0253 | 2.7273 | 300 | 0.3181 | 14.4866 |
| 0.016 | 3.1818 | 350 | 0.3273 | 14.8661 |
| 0.0138 | 3.6364 | 400 | 0.3177 | 13.9955 |
| 0.012 | 4.0909 | 450 | 0.3335 | 14.4866 |
| 0.0054 | 4.5455 | 500 | 0.3401 | 14.6429 |
| 0.004 | 5.0 | 550 | 0.3459 | 14.5982 |
| 0.0011 | 5.4545 | 600 | 0.3535 | 15.1339 |
| 0.0026 | 5.9091 | 650 | 0.3422 | 15.1116 |
| 0.001 | 6.3636 | 700 | 0.3452 | 14.5313 |
| 0.0007 | 6.8182 | 750 | 0.3510 | 14.6875 |
| 0.0005 | 7.2727 | 800 | 0.3540 | 14.6429 |
| 0.0005 | 7.7273 | 850 | 0.3554 | 14.7545 |
| 0.0005 | 8.1818 | 900 | 0.3564 | 14.7321 |
| 0.0005 | 8.6364 | 950 | 0.3570 | 14.7545 |
| 0.0004 | 9.0909 | 1000 | 0.3573 | 14.7768 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1