whisper-small-zh-tw / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - common_voice_11_0
metrics:
  - wer
model-index:
  - name: kimbochen/whisper-small-zh-tw
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_11_0
          type: common_voice_11_0
          config: zh-TW
          split: test
          args: zh-TW
        metrics:
          - name: Wer
            type: wer
            value: 32.04202832343535

kimbochen/whisper-small-zh-tw

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

  • Loss: 0.4334
  • Wer: 32.0420

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: 64
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1200
  • training_steps: 2000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.0066 2.05 400 0.3743 32.9100
0.0084 5.03 800 0.3787 33.4171
0.0098 8.01 1200 0.3979 33.2481
0.0019 10.06 1600 0.4084 32.3116
0.0008 13.04 2000 0.4334 32.0420

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2