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whisper-tiny-ja-alicia

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5542
  • 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
0.0311 3.33 10 0.3741 85.7143
0.0012 6.67 20 0.4759 85.7143
0.0001 10.0 30 0.5351 85.7143
0.0 13.33 40 0.5542 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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