Vladimirlv/ast-finetuned-audioset-10-10-0.4593-heart-sounds

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ast-finetuned-audioset-10-10-0.4593-heart-sounds

This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1499
• —Accuracy: 0.9695

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 64
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 8

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.0.1+cu118
• —Datasets 3.3.2
• —Tokenizers 0.21.0