learning_rate: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss
1.2306	1.0	70	2.0604
1.0982	2.0	140	1.8601
1.2858	3.0	210	1.9219
0.7918	4.0	280	1.7710
0.9235	5.0	350	1.7007
0.6908	6.0	420	1.8113
1.1367	7.0	490	1.7346
1.1563	8.0	560	1.6220
0.6276	9.0	630	0.8717
0.7245	10.0	700	0.8536
0.8999	11.0	770	0.8692
0.5880	12.0	840	0.8040
0.8655	13.0	910	0.7879
0.6180	14.0	980	0.7718
0.6380	15.0	1050	0.7577
0.5268	16.0	1120	0.7722
0.6078	17.0	1190	0.7728
0.7834	18.0	1260	0.7785
0.5730	19.0	1330	0.7668
0.6450	20.0	1400	0.7699

aribanez/yolo_raccoon

yolo_raccoon