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dysarthria-emo-enhancer
FilippoLampa/dysarthria-emo-enhancer
dysarthria-emo-enhancer is a feature extraction model from FilippoLampa. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023
- SHA
- a80e11ac
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Feature Extraction
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- dv
- Created
- Nov 5, 2023
- Updated
- Nov 5, 2023