readme: ---
  language:
  - zh
  license: apache-2.0
  tags:
  - whisper-event
  - generated_from_trainer
  datasets:
  - mozilla-foundation/common_voice_11_0
  metrics:
  - wer
  - cer
  model-index:
  - name: Whisper large-v2 zh-tw
    results:
    - task:
        name: Automatic Speech Recognition
        type: automatic-speech-recognition
      dataset:
        name: mozilla-foundation/common_voice_11_0 zh-TW
        type: mozilla-foundation/common_voice_11_0
        config: zh-TW
        split: train
        args: zh-TW
      metrics:
      - name: Wer
        type: wer
        value: 40.394614051459804
      - name: Cer
        type: cer
        value: 41.10406663660238
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # Whisper large-v2 zh-tw
  
  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the mozilla-foundation/common_voice_11_0 zh-TW dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1603
  - Wer: 40.3946
  - Cer: 41.1041
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  Training: "mozilla-foundation/common_voice_11_0","zh-TW","train"
  evaluation: "mozilla-foundation/common_voice_11_0","zh-TW","test"
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 1e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - 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 | Wer      | Cer      |
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
  | 2.87          | 0.2   | 1000 | 3.0804          | 192.9556 | 192.6466 |
  | 2.6143        | 0.4   | 2000 | 2.4951          | 96.5525  | 96.6443  |
  | 1.863         | 0.6   | 3000 | 2.0882          | 69.3188  | 69.6395  |
  | 1.1665        | 1.14  | 4000 | 1.4647          | 50.5666  | 51.5850  |
  | 0.6674        | 1.34  | 5000 | 1.1603          | 40.3946  | 41.1041  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  