Bateesa/whisper-small-jap

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Whisper-medium-Multilingual

This model is a fine-tuned version of openai/whisper-medium on the combinedvoicedatasetenja dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2195
• —Wer: 14.1862

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: 64
• —evalbatchsize: 32
• —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: 500
• —training_steps: 5000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.15.1
• —Pytorch 2.13.0+cu130
• —Datasets 2.21.0
• —Tokenizers 0.22.2