StephaneBah/whisper-tiny-rad-fr
16
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Whisper Tiny Fr - Radiologie
This model is a fine-tuned version of openai/whisper-tiny on 107 collected audios based on medical radiological report corpora.
Model description
Whisper Tiny Fr - Radiology
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
- trainbatchsize: 16
- evalbatchsize: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 5000
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1