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Whisper Small Jsun Hi - Jiping

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: 0.2775
  • Wer: 31.7616

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 400
  • training_steps: 4000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2092 0.61 1000 0.3201 38.7666
0.1106 1.22 2000 0.2810 34.1023
0.1049 1.83 3000 0.2660 32.4812
0.052 2.45 4000 0.2775 31.7616

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.0+cu102
  • Datasets 2.6.1
  • Tokenizers 0.13.1
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Dataset used to train jiping/whisper-small-jsun2-hi

Evaluation results