ms-mohit/whisper-small-dv
04
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
whisper-small-dv
This model is a fine-tuned version of openai/whisper-small on the commonvoice13_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1746
- Wer Ortho: 62.8386
- Wer: 13.4437
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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: constantwithwarmup
- lrschedulerwarmup_steps: 50
- training_steps: 500
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.0