DrishtiSharma / whisper-large-v2-assamese-700-steps

huggingface.co
Total runs: 9
24-hour runs: 0
7-day runs: 2
30-day runs: 3
Model's Last Updated: December 15 2022
automatic-speech-recognition

Introduction of whisper-large-v2-assamese-700-steps

Model Details of whisper-large-v2-assamese-700-steps

Whisper Large Assamese - Drishti Sharma

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: 0.2452
  • Wer: 21.4582
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 700
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Wer
0.0109 4.32 700 0.2452 21.4582
Framework versions
  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2

Runs of DrishtiSharma whisper-large-v2-assamese-700-steps on huggingface.co

9
Total runs
0
24-hour runs
3
3-day runs
2
7-day runs
3
30-day runs

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