Whisper Small Dv - BanUrsus

This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2999
  • Wer Ortho: 56.6961
  • Wer: 10.8095

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Ortho Wer
0.1219 1.63 500 0.1725 63.1729 13.4698
0.0472 3.26 1000 0.1644 58.0820 11.8076
0.0288 4.89 1500 0.1815 58.2283 11.3294
0.0067 6.53 2000 0.2322 59.0919 11.2946
0.0018 8.16 2500 0.2608 57.5179 11.0217
0.001 9.79 3000 0.2815 57.1558 10.8895
0.0002 11.42 3500 0.2943 56.8633 10.8634
0.0002 13.05 4000 0.2999 56.6961 10.8095

Framework versions

  • Transformers 4.39.2
  • Pytorch 1.13.0+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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