datdo2717/whisper-small-ori-vi2_1e4

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Whisper Small Ori vi

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2003
• —Wer: 31.8158

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 4000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.4.0
• —Datasets 3.0.2
• —Tokenizers 0.20.0