whisper-small-mi_nz / README.md
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metadata
license: apache-2.0
tags:
  - whisper-event
  - generated_from_trainer
datasets:
  - google/fleurs
metrics:
  - wer
model-index:
  - name: Whisper Small Maori
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: google/fleurs mi_nz
          type: google/fleurs
          config: mi_nz
          split: test
          args: mi_nz
        metrics:
          - name: Wer
            type: wer
            value: 30.481593707691317

Whisper Small Maori

This model is a fine-tuned version of openai/whisper-small on the google/fleurs mi_nz dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7756
  • Wer: 30.4816

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: 100
  • training_steps: 500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0.2693 7.02 100 0.6741 35.4845
0.0084 15.01 200 0.7756 30.4816
0.0029 23.0 300 0.8154 31.4744
0.002 30.02 400 0.8320 31.3777
0.0017 38.01 500 0.8372 31.5163

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu117
  • Datasets 2.8.1.dev0
  • Tokenizers 0.13.2