learning_rate: 5e-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: 17

Training Loss	Epoch	Step	Validation Loss
3.4992	1.0	75	2.4205
2.0497	2.0	150	1.9037
1.7749	3.0	225	1.6897
1.6143	4.0	300	1.5540
1.5326	5.0	375	1.4655
1.468	6.0	450	1.3991
1.4381	7.0	525	1.4099
1.4019	8.0	600	1.3662
1.3626	9.0	675	1.3520
1.3426	10.0	750	1.3188
1.3249	11.0	825	1.2764
1.2988	12.0	900	1.2777
1.288	13.0	975	1.2534
1.2687	14.0	1050	1.2531
1.2655	15.0	1125	1.2834
1.2692	16.0	1200	1.2308
1.2642	17.0	1275	1.2403

kaidittm/imgdetection_model

imgdetection_model