Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
No log	1.0	5	3.5279	0.0125	0.0416	0.1024	[0.003071310796148687, 0.1616174857459709, 0.0, 0.0, 0.0022739959938265523, 0.0, 0.0005909869482034998, 0.0017997990408432924, 0.0, 0.05474664289453949, 0.0, 0.0, 0.0, nan, 0.0, 0.0, 0.0, 0.09700429854115147, 0.0, 0.04184948021660935, 0.0006682389937106918, 0.0, 0.0, 0.00415553197202368, 0.004015113955619657, 0.0, 0.0, 6.202127329674078e-05, 0.05336540352809607, 0.0, 0.0, 0.0, 0.00025955435304111186, 0.0, 0.0]	[0.0032144853023359787, 0.18635872416872554, nan, 0.0, 0.0038356619632496504, nan, 0.0010970621048716994, 0.008956864181701621, nan, 0.06383171787997526, 0.0, nan, nan, nan, 0.0, nan, 0.0, 0.11043176613738219, nan, 0.051045006388159, 0.02862641327880683, nan, nan, 0.34138655462184875, 0.049846125151543415, 0.0, nan, 6.220517339692085e-05, 0.10777804260728432, 0.0, 0.0, 0.0, 0.0002737135463322385, 0.0, nan]

rcodina/exemple2-finetuned-segments

exemple2-finetuned-segments