learning_rate: 6e-05
train_batch_size: 16
eval_batch_size: 16
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: 50

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Per Category Iou	Per Category Accuracy
-1.9022	3.3333	20	-1.9693	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-3.3573	6.6667	40	-4.6304	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-5.6499	10.0	60	-5.9566	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-4.844	13.3333	80	-6.5330	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-6.0221	16.6667	100	-7.5166	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-5.5467	20.0	120	-9.5693	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-6.0827	23.3333	140	-9.3953	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-6.617	26.6667	160	-9.2510	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-6.7934	30.0	180	-11.2914	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-6.0912	33.3333	200	-10.4285	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-7.5925	36.6667	220	-8.8917	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-10.099	40.0	240	-10.5978	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-9.5303	43.3333	260	-10.4871	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-8.0347	46.6667	280	-13.2916	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]
-7.5465	50.0	300	-12.2069	0.2146	1.0	1.0	[0.21463963688415283]	[1.0]

Jedrzej-Smok/2025-06-01_16-31-46

2025-06-01_16-31-46