Nicole-M/Dataset2-FasterViT

This model is a fine-tuned version of FasterViT on the CBIS-DDSM dataset. It achieves the following results on the evaluation set:

• Loss: 0.6982
• Accuracy: 0.6267

Model description

More information needed

Intended uses & limitations

More information needed

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-3
• train_batch_size: 16
• eval_batch_size: 16

Training and evaluation data

Training Loss	Epoch	Validation Loss	Accuracy
0.8103	1.0	1.2116	0.0000
0.7289	2.0	0.7354	0.5200
0.7414	3.0	0.7137	0.5733
0.7076	4.0	0.7624	0.4267
0.7120	5.0	0.6934	0.2667
0.6968	6.0	0.6982	0.6267

Framework Versions

• Pytorch 2.3.1+cu121
• Datasets 2.21.0

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