Brain-Tumor-Classification

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

• Loss: 0.0872
• Accuracy: 0.9758

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2074	1.0	44	0.8060	0.8128
0.4897	2.0	88	0.3008	0.9274
0.2462	3.0	132	0.2464	0.9331
0.1937	4.0	176	0.1918	0.9502
0.1523	5.0	220	0.1699	0.9502
0.1371	6.0	264	0.1372	0.9644
0.1104	7.0	308	0.1121	0.9708
0.1097	8.0	352	0.1220	0.9651
0.1015	9.0	396	0.1053	0.9737
0.0841	10.0	440	0.1142	0.9708
0.0839	11.0	484	0.1073	0.9708
0.0771	12.0	528	0.1156	0.9665
0.074	13.0	572	0.1203	0.9644
0.0652	14.0	616	0.0706	0.9858
0.0694	15.0	660	0.0984	0.9744
0.0596	16.0	704	0.0872	0.9758

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2