finetuned-breast_cancer_images

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the breast cancer-image-classification dataset. It achieves the following results on the evaluation set:

• Loss: 0.1643
• Accuracy: 0.9620

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: 0.0002
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5507	2.5	100	0.3762	0.8861
0.4735	5.0	200	0.3380	0.8987
0.368	7.5	300	0.3424	0.8987
0.3182	10.0	400	0.2979	0.9082
0.2952	12.5	500	0.2110	0.9462
0.2493	15.0	600	0.1675	0.9620
0.2716	17.5	700	0.1705	0.9462
0.2866	20.0	800	0.1643	0.9620

Framework versions

• Transformers 4.30.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.13.3