zuazo / whisper-tiny-eu-cv17_0

huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: May 27 2025
automatic-speech-recognition

Introduction of whisper-tiny-eu-cv17_0

Model Details of whisper-tiny-eu-cv17_0

Whisper Tiny Basque

This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common_voice_17_0 eu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4350
  • Wer: 20.1244
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: 3.75e-05
  • train_batch_size: 256
  • eval_batch_size: 128
  • 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: 40000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0348 9.3458 1000 0.3382 22.7152
0.0021 18.6916 2000 0.4092 21.7844
0.0009 28.0374 3000 0.4509 21.9026
0.0023 37.3832 4000 0.4062 20.7181
0.0003 46.7290 5000 0.4350 20.1244
0.0002 56.0748 6000 0.4546 20.1702
0.0001 65.4206 7000 0.4745 20.2179
0.0001 74.7664 8000 0.4941 20.1995
0.0 84.1121 9000 0.5142 20.3342
0.0 93.4579 10000 0.5353 20.4386
0.0 102.8037 11000 0.5567 20.5495
0.0 112.1495 12000 0.5788 20.6100
0.0 121.4953 13000 0.6023 20.6988
0.0 130.8411 14000 0.6253 20.7767
0.0 140.1869 15000 0.6486 20.8683
Framework versions
  • Transformers 4.52.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1

Runs of zuazo whisper-tiny-eu-cv17_0 on huggingface.co

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