Whisper Small Punjabi

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: 0.5991
  • Wer: 39.0469

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 400
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.4346 5.01 50 0.3902 49.6797
0.0728 11.0 100 0.3811 40.7379
0.009 16.02 150 0.4924 39.5081
0.0028 22.0 200 0.5309 38.7394
0.0008 27.02 250 0.5687 38.6369
0.0006 33.01 300 0.5859 39.0213
0.0005 38.02 350 0.5954 39.0981
0.0005 44.01 400 0.5991 39.0469

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2
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Dataset used to train anuragshas/whisper-small-pa

Evaluation results