Anujgr8 / Whisper-Anuj-small-Odia-final

huggingface.co
Total runs: 12
24-hour runs: 1
7-day runs: 2
30-day runs: 7
Model's Last Updated: July 03 2024
automatic-speech-recognition

Introduction of Whisper-Anuj-small-Odia-final

Model Details of Whisper-Anuj-small-Odia-final

Whisper-Anuj-small-Odia-final

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1031
  • Wer: 43.2742
  • Cer: 24.0740
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: 6
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 1800
Training results
Training Loss Epoch Step Validation Loss Wer Cer
0.0352 4.7244 600 0.0984 41.3566 16.3829
0.0024 9.4488 1200 0.1041 49.1414 27.9848
0.0002 14.1732 1800 0.1031 43.2742 24.0740
Framework versions
  • Transformers 4.42.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of Anujgr8 Whisper-Anuj-small-Odia-final on huggingface.co

12
Total runs
1
24-hour runs
1
3-day runs
2
7-day runs
7
30-day runs

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Whisper-Anuj-small-Odia-final install

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