zuazo / whisper-tiny-eu-cv21.0

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: June 06 2025
automatic-speech-recognition

Introduction of whisper-tiny-eu-cv21.0

Model Details of whisper-tiny-eu-cv21.0

Whisper Tiny Basque

This model is a fine-tuned version of openai/whisper-tiny on the common_voice_21_0_eu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6323
  • Wer: 19.3934
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: 100000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0014 44.2478 5000 0.4639 21.2055
0.0 88.4956 10000 0.5180 20.2500
0.0 132.7434 15000 0.6086 20.6645
0.0 176.9912 20000 0.7126 20.9749
0.0363 221.2389 25000 0.5293 25.0394
0.0 265.4867 30000 0.5856 19.5755
0.0 309.7345 35000 0.6323 19.3934
0.0 353.9823 40000 0.6857 19.4316
0.0 398.2301 45000 0.7216 19.6509
0.0 442.4779 50000 0.7511 20.0081
0.0 486.7257 55000 0.7904 20.4599
0.0 530.9735 60000 0.8208 20.8414
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-cv21.0 on huggingface.co

4
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