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Whisper large-v2, KsponSpeech Partial 10 epochs

This model is a fine-tuned version of openai/whisper-large-v2 on the KsponSpeech dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0194
  • Wer: 25.7141

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
  • lr_scheduler_warmup_steps: 50
  • training_steps: 300

Training results

Training Loss Epoch Step Validation Loss Wer
0.2225 1.15 100 0.1394 27.9769
0.0507 3.11 200 0.0449 14.9640
0.0114 5.07 300 0.0194 25.7141

Framework versions

  • Transformers 4.31.0
  • Pytorch 1.12.1+cu116
  • Datasets 2.14.0
  • Tokenizers 0.12.1
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Evaluation results