learning_rate: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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: cosine
lr_scheduler_warmup_steps: 0.2
num_epochs: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Map	Map50	Map75	Mar 100	Accuracy
607.7155	1.0	36	410.3578	0.0	0.0	0.0	0.0	0.0
406.4923	2.0	72	78.3078	0.0031	0.0045	0.0045	0.0099	0.0134
50.8826	3.0	108	21.4512	0.4722	0.7832	0.5453	0.5567	0.7733
27.3799	4.0	144	10.4862	0.5938	0.9267	0.7393	0.6567	0.9122
14.8430	5.0	180	8.1764	0.6196	0.9596	0.7848	0.6879	0.9145
13.5677	6.0	216	7.1168	0.6366	0.9721	0.766	0.6901	0.9521
12.4128	7.0	252	6.9375	0.6189	0.9499	0.7268	0.6716	0.9067
12.1311	8.0	288	6.7474	0.6303	0.9577	0.7822	0.6837	0.932
11.9871	9.0	324	6.6603	0.6326	0.9639	0.7791	0.6851	0.9257
11.3201	10.0	360	6.6157	0.6379	0.9657	0.7977	0.6894	0.932
11.2401	11.0	396	6.6060	0.6338	0.9623	0.7738	0.6872	0.9257
10.9685	12.0	432	6.5308	0.6334	0.9661	0.7753	0.6865	0.9448
10.9287	13.0	468	6.5785	0.6395	0.9647	0.7874	0.6915	0.9448
10.7829	14.0	504	6.5881	0.635	0.9644	0.7823	0.6858	0.9448
10.6087	15.0	540	6.6545	0.6294	0.9656	0.7759	0.6837	0.9384

ranm26/rtdetr-v2-r50-lpph-finetune-improved-v10

rtdetr-v2-r50-lpph-finetune-improved-v10