learning_rate: 1.5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Bg	Accuracy Head	Iou Bg	Iou Head
0.0227	2.0	100	0.0130	0.8832	0.9377	0.9948	0.9972	0.8782	0.9947	0.7718
0.0455	4.0	200	0.0127	0.8802	0.9161	0.9949	0.9982	0.8339	0.9948	0.7656
0.0693	6.0	300	0.0126	0.8813	0.9182	0.9949	0.9981	0.8383	0.9949	0.7677
0.0291	8.0	400	0.0131	0.8740	0.9053	0.9947	0.9984	0.8122	0.9946	0.7534
0.0705	10.0	500	0.0128	0.8786	0.9131	0.9949	0.9983	0.8279	0.9948	0.7624
0.0329	12.0	600	0.0128	0.8804	0.9202	0.9949	0.9980	0.8423	0.9948	0.7661
0.0244	14.0	700	0.0128	0.8794	0.9167	0.9949	0.9981	0.8352	0.9948	0.7640
0.0853	16.0	800	0.0129	0.8798	0.9185	0.9949	0.9980	0.8389	0.9948	0.7649
0.0428	18.0	900	0.0129	0.8794	0.9170	0.9949	0.9981	0.8359	0.9948	0.7640
0.0911	20.0	1000	0.0128	0.8798	0.9172	0.9949	0.9981	0.8364	0.9948	0.7647

ypark-bioinfo/segformer-b5-finetuned-ce-head-image_ver1.1

segformer-b5-finetuned-ce-head-image_ver1.1