whisper-medium-gabriel_fold_8

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

  • Loss: 0.2675
  • Wer: 10.3753

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss Wer
0.6979 1.0 169 0.2737 13.6100
0.118 2.0 338 0.2458 11.4739
0.0437 3.0 507 0.2457 10.9246
0.0163 4.0 676 0.2616 12.0537
0.005 5.0 845 0.2628 10.5890
0.0016 6.0 1014 0.2675 10.3753

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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