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whisper-medium-loz

This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0237
  • Wer: 38.4907

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: 5e-05
  • train_batch_size: 8
  • 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
0.2252 3.11 500 1.6491 50.4707
0.0815 6.21 1000 1.8170 48.7246
0.0417 9.32 1500 1.8765 43.2129
0.0218 12.42 2000 1.8995 40.6316
0.0062 15.53 2500 1.9751 38.6578
0.0024 18.63 3000 2.0062 38.5667
0.0001 21.74 3500 2.0141 38.6274
0.0001 24.84 4000 2.0237 38.4907

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2
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