zuazo / whisper-large-v3-eu

huggingface.co
Total runs: 15
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: April 05 2025
automatic-speech-recognition

Introduction of whisper-large-v3-eu

Model Details of whisper-large-v3-eu

Whisper Large-V3 Basque

This model is a fine-tuned version of openai/whisper-large-v3 on the mozilla-foundation/common_voice_13_0 eu dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3803
  • Wer: 10.6201
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: 32
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 20000
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0326 4.85 1000 0.2300 13.3278
0.004 9.71 2000 0.2723 12.2038
0.0058 14.56 3000 0.2771 12.4246
0.003 19.42 4000 0.2838 12.2119
0.003 24.27 5000 0.2740 11.7704
0.0014 29.13 6000 0.2936 11.5436
0.0015 33.98 7000 0.2911 11.5193
0.0012 38.83 8000 0.2939 11.3674
0.0009 43.69 9000 0.3039 11.4140
0.0002 48.54 10000 0.3063 10.9624
0.0009 53.4 11000 0.3014 11.3350
0.0011 58.25 12000 0.3052 11.0474
0.0001 63.11 13000 0.3204 10.8692
0.0 67.96 14000 0.3413 10.7092
0.0 72.82 15000 0.3524 10.6647
0.0 77.67 16000 0.3607 10.6566
0.0 82.52 17000 0.3675 10.6120
0.0 87.38 18000 0.3737 10.6140
0.0 92.23 19000 0.3782 10.6181
0.0 97.09 20000 0.3803 10.6201
Framework versions
  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1

Runs of zuazo whisper-large-v3-eu on huggingface.co

15
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