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anuragshas/whisper-large-v2-hi-v3

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.019 GBother✓ 5 checksumsupdated today
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Whisper Large-v2 Hindi

This model is a fine-tuned version of openai/whisper-large-v2 on the mozilla-foundation/common_voice_11_0 hi dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3191
  • Wer: 11.3039

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
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 50
  • training_steps: 1000

Training results

Training Loss Epoch Step Validation Loss Wer
0.0479 2.06 200 0.2189 12.3226
0.0081 5.06 400 0.2649 11.5740
0.001 8.06 600 0.2998 11.4252
0.0004 11.05 800 0.3191 11.3039
0.0003 14.05 1000 0.3267 11.3291

Framework versions

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