Whisper Base Spanish

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

  • Loss: 0.3281
  • Wer: 13.5312

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: 2.5e-05
  • train_batch_size: 128
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Wer
0.2173 4.0 1000 0.3409 14.8123
0.0955 8.01 2000 0.3377 15.4269
0.1647 12.01 3000 0.3393 14.5602
0.0986 16.01 4000 0.3281 13.5312
0.1272 20.02 5000 0.3423 13.7596

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Evaluation results