Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Not Graf	Accuracy Graf	Iou Not Graf	Iou Graf
0.4076	0.42	20	0.5389	0.6053	0.7982	0.7541	0.6139	0.9825	0.6073	0.6033
0.3386	0.83	40	0.2883	0.7962	0.8984	0.8898	0.8625	0.9343	0.8290	0.7634
0.1964	1.25	60	0.2514	0.8061	0.9009	0.8964	0.8819	0.9200	0.8406	0.7716
0.1723	1.67	80	0.2259	0.8269	0.9058	0.9100	0.9235	0.8880	0.8641	0.7898
0.1981	2.08	100	0.2338	0.8119	0.9040	0.8999	0.8869	0.9210	0.8459	0.7778
0.2827	2.5	120	0.2106	0.8251	0.9080	0.9084	0.9095	0.9066	0.8601	0.7902
0.1864	2.92	140	0.2241	0.8232	0.8956	0.9097	0.9546	0.8365	0.8675	0.7790
0.1362	3.33	160	0.2185	0.8257	0.8978	0.9109	0.9525	0.8431	0.8688	0.7826
0.1264	3.75	180	0.2155	0.8237	0.9054	0.9079	0.9156	0.8952	0.8602	0.7871
0.1688	4.17	200	0.2241	0.8206	0.8985	0.9072	0.9346	0.8625	0.8618	0.7795
0.1198	4.58	220	0.2080	0.8331	0.9087	0.9137	0.9296	0.8877	0.8697	0.7965
0.111	5.0	240	0.2033	0.8369	0.9133	0.9154	0.9221	0.9044	0.8710	0.8027
0.2003	5.42	260	0.2214	0.8262	0.9118	0.9084	0.8976	0.9261	0.8586	0.7938
0.1369	5.83	280	0.2044	0.8396	0.9147	0.9170	0.9245	0.9048	0.8734	0.8058
0.1901	6.25	300	0.1968	0.8411	0.9119	0.9185	0.9393	0.8846	0.8771	0.8050
0.1887	6.67	320	0.2098	0.8367	0.9100	0.9159	0.9344	0.8857	0.8731	0.8002
0.0738	7.08	340	0.2205	0.8357	0.9127	0.9147	0.9211	0.9043	0.8699	0.8014
0.1166	7.5	360	0.2274	0.8317	0.9046	0.9135	0.9420	0.8672	0.8709	0.7924
0.1247	7.92	380	0.2225	0.8310	0.9051	0.9130	0.9381	0.8722	0.8698	0.7923
0.1212	8.33	400	0.2230	0.8345	0.9108	0.9143	0.9254	0.8961	0.8699	0.7991
0.0979	8.75	420	0.2226	0.8352	0.9076	0.9153	0.9400	0.8752	0.8730	0.7973
0.0984	9.17	440	0.2189	0.8354	0.9106	0.9149	0.9287	0.8925	0.8712	0.7997
0.1151	9.58	460	0.2185	0.8382	0.9098	0.9170	0.9396	0.8800	0.8751	0.8013
0.0989	10.0	480	0.2171	0.8381	0.9102	0.9168	0.9379	0.8826	0.8748	0.8015

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Adriatogi/segformer-b1-finetuned-segments-graffiti

segformer-b1-finetuned-segments-graffiti

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Adriatogi/
segformer-b1-finetuned-segments-graffiti