Sammyeazzy/whisper-small-yo-benin1
06
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whisper-small-yo-benin1
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: 0.1107
- Wer: 6.7908
- Bleu: 0.0134
- Chrf: 11.4677
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: 4e-06
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 25
- training_steps: 500
- mixedprecisiontraining: Native AMP
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1
