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Whisper base zh v2

This model is a fine-tuned version of ZhihCheng/whisper-base-zh on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1522
  • Wer: 75.0

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: 25
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.241 0.35 50 0.4000 75.0
0.1766 0.71 100 0.3001 75.0
0.1085 1.06 150 0.2594 81.25
0.059 1.42 200 0.2162 81.25
0.0412 1.77 250 0.1789 87.5
0.0347 2.13 300 0.1431 68.75
0.0172 2.48 350 0.1408 68.75
0.0137 2.84 400 0.1408 68.75
0.0081 3.19 450 0.1458 75.0
0.0074 3.55 500 0.1522 75.0

Framework versions

  • Transformers 4.38.0.dev0
  • Pytorch 2.2.0a0+6a974be
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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