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whisper-tiny-ja-test

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6032
  • Wer: 85.7143

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
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • training_steps: 40

Training results

Training Loss Epoch Step Validation Loss Wer
3.7501 3.33 10 1.6891 42.8571
0.6513 6.67 20 0.4518 85.7143
0.0104 10.0 30 0.5347 85.7143
0.0006 13.33 40 0.6032 85.7143

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.1.1+cu118
  • Datasets 2.16.1
  • Tokenizers 0.13.3
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