Melanoma-Cancer-Image-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: 0.1954
• Accuracy: 0.9395

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5451	0.99	68	0.2960	0.8936
0.2488	1.99	137	0.2254	0.9105
0.1986	3.0	206	0.1913	0.9282
0.1714	4.0	275	0.1906	0.9264
0.1576	4.99	343	0.1825	0.9323
0.1359	5.99	412	0.1973	0.9318
0.1193	7.0	481	0.1756	0.9368
0.1062	8.0	550	0.1743	0.9382
0.0983	8.99	618	0.1885	0.9395
0.0797	9.99	687	0.1931	0.9309
0.0698	11.0	756	0.1895	0.9359
0.0657	12.0	825	0.1861	0.9368
0.0587	12.99	893	0.1837	0.9414
0.056	13.99	962	0.1936	0.9377
0.0592	15.0	1031	0.1958	0.935
0.0508	15.83	1088	0.1954	0.9395

Framework versions

• Transformers 4.38.2
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2