learning_rate: 5e-05
train_batch_size: 16
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
lr_scheduler_warmup_steps: 300
num_epochs: 8

Training Loss	Epoch	Step	Validation Loss	Map	Map 50	Map 75	Map Barcode	Map Large	Map Medium	Map Small	Mar 1	Mar 10	Mar 100	Mar 100 Barcode	Mar Large	Mar Medium	Mar Small
7.43	1.0	1636	5.0547	0.623	0.7756	0.6841	0.623	0.6594	0.6674	0.2648	0.3542	0.8117	0.8521	0.8521	0.8749	0.8552	0.5325
6.9538	2.0	3272	4.9508	0.6297	0.7829	0.6878	0.6297	0.7109	0.6449	0.261	0.3612	0.8238	0.8604	0.8604	0.8794	0.8624	0.5972
6.6733	3.0	4908	5.0056	0.6553	0.8073	0.7122	0.6553	0.7359	0.6782	0.2319	0.3481	0.8201	0.8542	0.8542	0.8712	0.8573	0.6107
6.5783	4.0	6544	5.0493	0.6524	0.808	0.711	0.6524	0.7472	0.6782	0.2391	0.3581	0.8268	0.8629	0.8629	0.8819	0.8639	0.6066
6.4986	5.0	8180	5.0208	0.6944	0.8578	0.7542	0.6944	0.7651	0.7135	0.2808	0.3706	0.8307	0.8611	0.8611	0.879	0.863	0.6131
6.4056	6.0	9816	5.0116	0.6843	0.8399	0.7445	0.6843	0.7607	0.7126	0.3026	0.371	0.8374	0.8664	0.8664	0.8864	0.8646	0.6176
6.4074	7.0	11452	5.0229	0.653	0.7989	0.7106	0.2768	0.7112	0.731	0.3513	0.8326	0.8694	0.619	0.8675	0.8896	0.653	0.8694
6.2576	8.0	13088	5.0340	0.6583	0.8036	0.7156	0.2754	0.7152	0.747	0.3589	0.833	0.8673	0.6183	0.8656	0.8872	0.6583	0.8673

benjamintli/rt-detr-v2_barcode-detection

rt-detr-v2_barcode-detection