Whisper Small Dv - Carlos Pedrotti
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 + Dv dataset. It achieves the following results on the evaluation set:
- Loss: 0.1860
- Wer Ortho: 78.9888
- Wer: 17.4340
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 0.0364 | 6.4935 | 500 | 0.1860 | 78.9888 | 17.4340 |
Framework versions
- Transformers 4.54.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
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Base model
openai/whisper-smallDataset used to train pedrottic/whisper-small-dv
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Evaluation results
- Wer on Common Voice 13 + Dvtest set self-reported17.434