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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Model tree for FilippoLampa/dysarthria-emo-enhancer
Base model
openai/whisper-small