duyxsays/distilhubert-bass5

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distilhubert-bass5

This model is a fine-tuned version of ntu-spml/distilhubert on the TheDuyx/augmentedbasssounds dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0088
• —Accuracy: 0.9991

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: 5e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 192
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.39.2
• —Pytorch 2.2.2
• —Datasets 2.18.0
• —Tokenizers 0.15.2