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
0.6129	3.3333	20	0.6594	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.5449	6.6667	40	0.5377	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.5031	10.0	60	0.4347	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.3966	13.3333	80	0.3513	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.3708	16.6667	100	0.3627	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.3599	20.0	120	0.3543	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.3057	23.3333	140	0.2982	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2961	26.6667	160	0.2911	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2868	30.0	180	0.2461	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2621	33.3333	200	0.2804	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2502	36.6667	220	0.2496	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2502	40.0	240	0.2437	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2605	43.3333	260	0.2354	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2579	46.6667	280	0.2413	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]
0.2418	50.0	300	0.2333	0.9986	1.0	1.0	[0.9985734848484848]	[1.0]

Jedrzej-Smok/2025-06-01_20-34-42

2025-06-01_20-34-42