learning_rate: 6e-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: 50

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Object	Iou Object
0.4422	5.0	10	0.5913	0.4820	0.9640	0.9640	nan	0.9640	0.9640
0.3684	10.0	20	0.5141	0.4821	0.9643	0.9643	nan	0.9643	0.9643
0.294	15.0	30	0.4940	0.4325	0.8650	0.8650	nan	0.8650	0.8650
0.2614	20.0	40	0.4563	0.4451	0.8901	0.8901	nan	0.8901	0.8901
0.2981	25.0	50	0.4381	0.4500	0.8999	0.8999	nan	0.8999	0.8999
0.245	30.0	60	0.4189	0.4588	0.9176	0.9176	nan	0.9176	0.9176
0.2356	35.0	70	0.4185	0.4502	0.9004	0.9004	nan	0.9004	0.9004
0.2228	40.0	80	0.4165	0.4583	0.9166	0.9166	nan	0.9166	0.9166
0.2162	45.0	90	0.4128	0.4613	0.9226	0.9226	nan	0.9226	0.9226
0.2288	50.0	100	0.4120	0.4577	0.9154	0.9154	nan	0.9154	0.9154

jenniferlumeng/umaxtools-b0-v01-finetuned-segments-outputs

umaxtools-b0-v01-finetuned-segments-outputs