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dysarthria_emo_enhancer_0_0

This model is a fine-tuned version of openai/whisper-small on the custom_torgo_0_0 dataset merged with the UASpeech dataset. It achieves the following results on the evaluation set:

  • Wer: 34.5269
  • Wer Ortho: 36.0478

And the following results on the TORGO + UAS training set:

  • Acc: 0.68
  • Wer: 32.28

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Finetuned from

Dataset used to train FilippoLampa/dysarthria-emo-enhancer

Evaluation results