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whisper-small-fy-NL

This model is a fine-tuned version of openai/whisper-small on the CommonVoice 11 fy-NL (West-Frisian) dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5276
  • Wer: 0.2919

The Wer before finetuning was 1.0622.

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: 0.0001
  • train_batch_size: 32
  • 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: 500
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer
0 0 1.0622
0.9177 1.0 211 0.8145 0.3450
0.5807 2.0 422 0.7113 0.3640
0.2884 3.0 633 0.5276 0.2919

Framework versions

  • Transformers 4.24.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.6.1
  • Tokenizers 0.13.1
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