Whisper Small Irish - Ino van de Wouw

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

  • Loss: 0.2792
  • Wer: 21.5510

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: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 2500

Training results

Training Loss Epoch Step Validation Loss Wer
0.6959 0.6623 500 0.6916 45.1903
0.3564 1.3245 1000 0.4082 27.8983
0.2594 1.9868 1500 0.3233 23.9319
0.1527 2.6490 2000 0.2916 22.0176
0.1062 3.3113 2500 0.2792 21.5510

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu126
  • Datasets 2.18.0
  • Tokenizers 0.21.0
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Dataset used to train InoWouw/whisper-small-irish

Evaluation results