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update model card README.md
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metadata
language:
  - pt
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - mozilla-foundation/common_voice_11_0
metrics:
  - wer
model-index:
  - name: Whisper Small Portuguese
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: mozilla-foundation/common_voice_11_0 pt
          type: mozilla-foundation/common_voice_11_0
          config: pt
          split: test
          args: pt
        metrics:
          - name: Wer
            type: wer
            value: 11.648690292758088

Whisper Small Portuguese

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

  • Loss: 0.2568
  • Wer: 11.6487
  • Cer: 4.4764

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: 5e-06
  • 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: 1000
  • training_steps: 10000
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Cer
0.2476 0.92 500 0.2900 13.2049 4.9765
0.1886 1.84 1000 0.2611 12.2804 4.6173
0.1066 2.76 1500 0.2568 11.6487 4.4764
0.0698 3.68 2000 0.2701 11.8798 4.6145
0.0403 4.6 2500 0.2831 11.8644 4.4405
0.019 5.52 3000 0.3148 11.7565 4.4653

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.12.1+cu116
  • Datasets 2.7.1.dev0
  • Tokenizers 0.13.2