Whisper-Small-am-v11

This model is a fine-tuned version of openai/whisper-small on the hearing voice dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6920
  • Wer: 183.3625

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: 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: 100
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.2222 50 1.1042 338.7729
1.2376 0.4444 100 0.9183 301.9761
1.2376 0.6667 150 0.8419 213.0040
0.7542 0.8889 200 0.7960 188.3506
0.7542 1.1111 250 0.7673 186.8685
0.676 1.3333 300 0.7388 193.2430
0.676 1.5556 350 0.7148 188.5100
0.6401 1.7778 400 0.6920 183.3625

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.1
  • Tokenizers 0.21.1
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