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Whisper Small Odia v1.2

This model is a fine-tuned version of chandan3007/Whisper-small-oriya on the mozilla-foundation/common_voice_11_0 or dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4804
  • Wer: 30.5219

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: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • training_steps: 1000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0041 12.01 250 0.4540 31.5092
0.0011 24.02 500 0.4804 30.5219
0.0004 37.01 750 0.5306 31.4810
0.0 49.02 1000 0.5506 32.7786

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.11.0+cu102
  • Datasets 2.10.0
  • Tokenizers 0.13.2
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Dataset used to train chandan3007/whisper-small-oriya-v1.2

Evaluation results