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whisper-small-zh

Automatic Speech Recognition
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PyTorch
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Chinese
whisper
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metadata
language:
  - zh
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
model-index:
  - name: Whisper Small Chinese
    results: []

Whisper Small Chinese

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 zh-CN dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3813
  • Cer: 15.3563

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: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer
0.481 1.07 1000 0.3443 16.1736
0.2912 3.0 2000 0.3487 16.5213
0.1303 4.07 3000 0.3707 15.3950
0.0997 6.01 4000 0.3813 15.3563
0.0388 7.07 5000 0.3882 15.5099

Framework versions

  • Transformers 4.28.0.dev0
  • Pytorch 2.0.0+cu117
  • Datasets 2.11.1.dev0
  • Tokenizers 0.13.2