masumcsepust/whisper-small-arabic-letters-pod
09
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whisper-small-arabic-letters-pod
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0493
- Wer: 6.3830
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
- 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: 100
- training_steps: 1000
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 5.12.1
- Pytorch 2.4.1+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2
