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anuragshas/whisper-small-hi

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.06.8 GBother✓ 5 checksumsupdated today
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Whisper Small Hindi

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 hi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6260
  • Wer: 22.4292

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: 7e-06
  • 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: 3000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0176 7.01 500 0.4165 22.5066
0.0015 14.01 1000 0.5186 22.2573
0.0004 21.02 1500 0.5741 22.2401
0.0002 28.02 2000 0.6025 22.3834
0.0002 36.01 2500 0.6197 22.3977
0.0002 43.01 3000 0.6260 22.4292

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2