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
training_steps: 100
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Small	Map Medium	Map Large	Mar 1	Mar 10	Mar 100	Mar Small	Mar Medium	Mar Large	Map Kid	Mar 100 Kid	Map Adult	Mar 100 Adult
1.9155	0.1852	20	1.8038	0.0047	0.0101	0.005	-1.0	0.0035	0.0071	0.0332	0.1231	0.3206	-1.0	0.4545	0.3067	0.0013	0.1685	0.0081	0.4727
1.8395	0.3704	40	1.7979	0.0045	0.0107	0.0035	-1.0	0.0042	0.0072	0.0223	0.1147	0.3081	-1.0	0.4909	0.2926	0.0014	0.1726	0.0076	0.4436
1.8477	0.5556	60	1.7656	0.0046	0.0107	0.0041	-1.0	0.0044	0.0077	0.0329	0.1148	0.3276	-1.0	0.5091	0.3137	0.002	0.2242	0.0072	0.4309
1.66	0.7407	80	1.7440	0.0044	0.0098	0.0039	-1.0	0.0049	0.0076	0.0256	0.1029	0.3266	-1.0	0.5182	0.3137	0.0026	0.2532	0.0062	0.4
2.0088	0.9259	100	1.7496	0.0043	0.0096	0.0039	-1.0	0.0051	0.0073	0.0175	0.0983	0.3165	-1.0	0.5364	0.3035	0.0029	0.2694	0.0056	0.3636

KaushiGihan/detr-kids-and-adults-detection-finetuned

detr-kids-and-adults-detection-finetuned