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whisper-large-v3-croarian_overlap_removed_20

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

  • Loss: 2.1494
  • Wer: 66.4162

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: 16
  • eval_batch_size: 8
  • 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: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0196 18.18 1000 1.8624 74.2693
0.0034 36.36 2000 2.0306 57.5067
0.0028 54.55 3000 2.1057 61.0400
0.0029 72.73 4000 2.1494 66.4162

Framework versions

  • Transformers 4.37.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.1
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Evaluation results