learning_rate: 6e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: polynomial
lr_scheduler_warmup_steps: 28
num_epochs: 10
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Bg Iou	Road Iou
3.9395	1.0	29	0.2522	0.4813	0.5013	0.9523	0.0103
1.6425	2.0	58	0.1610	0.4819	0.5010	0.9614	0.0024
1.0853	3.0	87	0.1539	0.4820	0.5011	0.9616	0.0025
1.0067	4.0	116	0.1623	0.4892	0.5086	0.9594	0.0190
0.9354	5.0	145	0.1580	0.4850	0.5040	0.9609	0.0091
0.9454	6.0	174	0.1549	0.4826	0.5017	0.9615	0.0038
0.9599	7.0	203	0.1604	0.4859	0.5050	0.9607	0.0111
0.8990	8.0	232	0.1576	0.4846	0.5036	0.9611	0.0081
0.9328	9.0	261	0.1565	0.4830	0.5020	0.9614	0.0045
0.8854	10.0	290	0.1572	0.4837	0.5027	0.9613	0.0062

pocoloco107/offroad-mapper-road-segmentation

offroad-mapper-road-segmentation