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ASR-whisper-small-1

This model is a fine-tuned version of openai/whisper-small on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9304
  • Wer: 0.4997

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: 0.0005
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 700
  • training_steps: 3000

Training results

Training Loss Epoch Step Validation Loss Wer
1.6949 0.33 1000 1.6964 0.9265
0.9422 1.31 2000 1.1670 0.7292
0.4947 2.28 3000 0.9304 0.4997

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.0
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Evaluation results