results
This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 4.8356
- Wer: 102.2727
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.356 | 1.0 | 25 | 3.7353 | 129.5455 |
| 1.592 | 2.0 | 50 | 4.8264 | 131.8182 |
| 0.8164 | 3.0 | 75 | 5.3297 | 118.1818 |
| 0.5411 | 4.0 | 100 | 5.4492 | 129.5455 |
| 0.4838 | 5.0 | 125 | 5.4227 | 125.0 |
| 0.3147 | 6.0 | 150 | 5.1730 | 95.4545 |
| 0.2188 | 7.0 | 175 | 5.6889 | 125.0 |
| 0.0599 | 8.0 | 200 | 5.3468 | 104.5455 |
| 0.0959 | 9.0 | 225 | 5.4147 | 100.0 |
| 0.0636 | 10.0 | 250 | 4.8356 | 102.2727 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cpu
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
openai/whisper-smallEvaluation results
- Wer on common_voice_17_0validation set self-reported102.273