Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Substrate	Iou Background	Iou Substrate
0.0948	1.7699	50	3.2172	0.1562	0.3333	0.4687	1.0	0.0	0.4687	0.0
0.0735	3.5398	100	3.5520	0.1562	0.3333	0.4687	1.0	0.0	0.4687	0.0
0.064	5.3097	150	3.4135	0.1562	0.3333	0.4687	1.0	0.0	0.4687	0.0
0.062	7.0796	200	3.2473	0.1594	0.3297	0.4638	0.9688	0.0203	0.4585	0.0197
0.0672	8.8496	250	1.3897	0.1861	0.3555	0.5006	0.9884	0.0780	0.4812	0.0771
0.0423	10.6195	300	1.3204	0.1603	0.2938	0.4144	0.7495	0.1318	0.3750	0.1058
0.044	12.3894	350	1.2021	0.2482	0.3864	0.5467	0.8290	0.3303	0.4616	0.2829
0.0322	14.1593	400	1.5121	0.2118	0.3578	0.5052	0.8625	0.2108	0.4497	0.1858
0.0291	15.9292	450	1.6387	0.1855	0.3411	0.4808	0.9079	0.1155	0.4504	0.1059
0.0235	17.6991	500	1.6660	0.1874	0.3481	0.4906	0.9404	0.1040	0.4639	0.0982
0.0243	19.4690	550	1.5501	0.2051	0.3521	0.4970	0.8649	0.1913	0.4463	0.1690
0.0225	21.2389	600	1.7049	0.1982	0.3497	0.4934	0.8914	0.1578	0.4520	0.1427
0.0265	23.0088	650	1.6788	0.2008	0.3531	0.4982	0.8989	0.1606	0.4564	0.1461
0.0214	24.7788	700	1.6332	0.2042	0.3547	0.5005	0.8894	0.1746	0.4549	0.1576

Hasano20/SegFormer_mit-b5_Final-Set4-Grayscale_On-the-fly-Augmented_batch8_lr0.0002

SegFormer_mit-b5_Final-Set4-Grayscale_On-the-fly-Augmented_batch8_lr0.0002