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Whisper Small Bn - Saiful

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: 0.1065
  • Wer: 33.9905

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: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.1491 0.64 1000 0.1626 47.3805
0.0874 1.27 2000 0.1239 38.8480
0.0692 1.91 3000 0.1081 35.3675
0.0455 2.55 4000 0.1065 33.9905

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.10.2.dev0
  • Tokenizers 0.13.2
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Dataset used to train saiful-sit/whisper-small-bn-cv

Evaluation results