learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 4
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: 20

Training Loss	Epoch	Step	Validation Loss
No log	1.0	40	1.2814
No log	2.0	80	1.1424
No log	3.0	120	0.9869
No log	4.0	160	0.9042
No log	5.0	200	0.7036
No log	6.0	240	0.7302
No log	7.0	280	0.6320
No log	8.0	320	0.5814
No log	9.0	360	0.5468
No log	10.0	400	0.5419
No log	11.0	440	0.5130
No log	12.0	480	0.5220
0.8899	13.0	520	0.5162
0.8899	14.0	560	0.5061
0.8899	15.0	600	0.5066
0.8899	16.0	640	0.4785
0.8899	17.0	680	0.4817
0.8899	18.0	720	0.4782
0.8899	19.0	760	0.4873
0.8899	20.0	800	0.4696

vncgabriel/raccoon_detector

raccoon_detector