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whisper-base-voice-commands
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2549
- Wer: 0.0
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1469 | 2.55 | 250 | 0.2371 | 0.0825 |
| 0.1369 | 5.1 | 500 | 0.2457 | 0.0 |
| 0.131 | 7.65 | 750 | 0.2549 | 0.0 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
