learning_rate: 2e-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: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Map	Map50	Map75	Mar 100	Accuracy
1254.6895	1.0	36	853.7870	0.0	0.0	0.0	0.0057	0.0001
872.6008	2.0	72	171.7799	0.0	0.0	0.0	0.0	0.0
98.9709	3.0	108	46.1028	0.0	0.0	0.0	0.0	0.0
52.0574	4.0	144	23.6909	0.4717	0.7383	0.5476	0.5298	0.7067
25.1439	5.0	180	14.4006	0.537	0.8858	0.6431	0.6106	0.8301
19.8635	6.0	216	10.6540	0.5803	0.9299	0.7174	0.6404	0.8526
15.3787	7.0	252	8.7422	0.5546	0.9161	0.6546	0.6305	0.8526
14.2204	8.0	288	8.0534	0.5681	0.9525	0.6623	0.6369	0.9252
13.7137	9.0	324	7.6508	0.5399	0.9269	0.6095	0.6113	0.8808
12.4138	10.0	360	7.3431	0.5679	0.9426	0.6858	0.6319	0.9116
12.2881	11.0	396	7.2487	0.5576	0.9449	0.6403	0.6312	0.8831
11.7411	12.0	432	7.1195	0.5627	0.9481	0.6287	0.6291	0.9252
11.5529	13.0	468	7.0673	0.5723	0.9498	0.6689	0.6369	0.9189
11.3172	14.0	504	7.0444	0.5473	0.9581	0.6036	0.6248	0.9384
10.9495	15.0	540	7.0745	0.561	0.9607	0.6362	0.6369	0.9452
10.9264	16.0	576	7.0893	0.5463	0.9471	0.5731	0.6241	0.9128
11.0531	17.0	612	7.0587	0.5596	0.956	0.6033	0.6418	0.9448
10.7534	18.0	648	7.1236	0.5511	0.9491	0.5929	0.6312	0.9007
10.7007	19.0	684	7.0895	0.5466	0.948	0.572	0.6277	0.9379
10.7203	20.0	720	7.0879	0.5498	0.9486	0.5624	0.6262	0.8947

ranm26/rtdetr-v2-r50-lpph-finetune-improved-v6

rtdetr-v2-r50-lpph-finetune-improved-v6