Whisper Small Hi gpu_ft_tiny

This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5438
  • Wer: 230.9744

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: 32
  • 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: 500
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss Wer
0.253 4.88 1000 0.5272 183.8906
0.1388 9.76 2000 0.5438 230.9744

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+rocm5.4.2
  • Datasets 2.14.5
  • Tokenizers 0.12.1
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Dataset used to train RamNaamSatyaHai/whisper-small-hi-gpu_ft_tiny

Evaluation results