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Whisper Small Co 2.2

This model is a fine-tuned version of ntviet/whisper-small-co on the Co audio dataset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1638
  • Cer Ortho: 17.3028
  • Cer: 16.8798

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer Ortho Cer
0.0 71.4286 500 0.1638 17.3028 16.8798

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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