Whisper Small Bashkir
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17.0 (ba) dataset. It achieves the following results on the evaluation set:
- Loss: 0.1616
- Wer: 24.5576
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: 5e-05
- 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
- lr_scheduler_warmup_steps: 500
- training_steps: 19576
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0861 | 0.9999 | 19576 | 0.1616 | 24.5576 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for stdbug/whisper-small-ba
Base model
openai/whisper-smallDataset used to train stdbug/whisper-small-ba
Evaluation results
- Wer on Common Voice 17.0 (ba)self-reported24.558