whisper_checkpoints7

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

  • Loss: 0.0170
  • Wer: 20.9137

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: 24
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
0.009 2.5510 1000 0.0306 21.4887
0.0011 5.1020 2000 0.0184 22.1210
0.0005 7.6531 3000 0.0172 21.3229
0.0004 10.2041 4000 0.0170 20.9137

Framework versions

  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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