learning_rate: 5e-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: 15
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Map	Map50	Map75	Mar 100	Accuracy
633.0398	1.0	36	201.4418	0.0	0.0	0.0	0.0	0.0001
211.8803	2.0	72	39.0503	0.0	0.0	0.0	0.0	0.0
31.5874	3.0	108	12.7834	0.1771	0.263	0.2183	0.2894	0.3011
19.9102	4.0	144	9.0154	0.4134	0.6374	0.4788	0.5567	0.5091
13.8280	5.0	180	7.3622	0.617	0.9406	0.7839	0.6723	0.8654
12.8959	6.0	216	6.9725	0.6117	0.9613	0.7158	0.6759	0.8961
12.1607	7.0	252	6.7348	0.6209	0.967	0.7406	0.6766	0.92
11.9540	8.0	288	6.4817	0.6346	0.9606	0.7462	0.6965	0.9324
11.6322	9.0	324	6.5452	0.6284	0.9629	0.7268	0.6858	0.9257
11.0609	10.0	360	6.5674	0.6244	0.954	0.7558	0.678	0.9067
10.9859	11.0	396	6.4631	0.6276	0.9563	0.7696	0.6816	0.9444
10.6964	12.0	432	6.4940	0.6295	0.9627	0.7542	0.6865	0.9384
10.6503	13.0	468	6.5015	0.6222	0.9542	0.7376	0.6787	0.9252
10.4681	14.0	504	6.4900	0.6246	0.9637	0.7432	0.6858	0.9195
10.2880	15.0	540	6.5048	0.6259	0.9636	0.7506	0.6851	0.9195

ranm26/rtdetr-v2-r50-lpph-finetune-improved-v9

rtdetr-v2-r50-lpph-finetune-improved-v9