learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
lr_scheduler_warmup_steps: 300
num_epochs: 10

Training results

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 Elbows-shoulders-bar-athlete	Mar 100 Elbows-shoulders-bar-athlete	Map Barbell	Mar 100 Barbell	Map Benchpressshoulder	Mar 100 Benchpressshoulder	Map Elbow	Mar 100 Elbow	Map Hand	Mar 100 Hand	Map Head	Mar 100 Head
No log	1.0	37	58.1399	0.0001	0.0001	0.0001	0.0	0.0002	0.0	0.0021	0.0028	0.0044	0.002	0.0059	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.009	0.0	0.005	0.0003	0.0123
No log	2.0	74	42.4180	0.0038	0.0056	0.0054	0.0001	0.0103	0.0	0.0062	0.0156	0.0156	0.0021	0.0218	0.0	-1.0	-1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0007	0.0256	0.022	0.0679
No log	3.0	111	34.4996	0.015	0.0217	0.0178	0.0002	0.0327	0.0	0.0245	0.0383	0.0385	0.0032	0.0552	0.0	-1.0	-1.0	0.0003	0.0043	0.0	0.0	0.0	0.0	0.0031	0.0525	0.0867	0.1741
No log	4.0	148	29.1792	0.0254	0.0435	0.0239	0.0083	0.0486	0.0014	0.0349	0.0626	0.0626	0.0245	0.0885	0.02	-1.0	-1.0	0.0004	0.0021	0.0	0.0	0.0	0.0	0.0587	0.2044	0.0933	0.1691
No log	5.0	185	22.1037	0.0867	0.1572	0.0786	0.06	0.1234	0.0	0.0902	0.1323	0.1324	0.1011	0.1681	0.0	-1.0	-1.0	0.0022	0.0209	0.0	0.0	0.0	0.0108	0.2576	0.4181	0.2605	0.3444
No log	6.0	222	18.5807	0.1367	0.2393	0.13	0.1254	0.1771	0.0027	0.1285	0.2144	0.2357	0.2282	0.3049	0.04	-1.0	-1.0	0.0143	0.1235	0.0	0.0	0.0005	0.1175	0.3634	0.5731	0.4419	0.6
No log	7.0	259	17.0227	0.1642	0.2798	0.1596	0.1853	0.2005	0.0153	0.1531	0.2538	0.2663	0.2964	0.3338	0.04	-1.0	-1.0	0.0456	0.1674	0.0	0.0	0.0014	0.1687	0.3894	0.5825	0.5486	0.679
No log	8.0	296	15.6265	0.1849	0.3282	0.1716	0.2236	0.2215	0.0208	0.1801	0.2874	0.2967	0.3501	0.3619	0.02	-1.0	-1.0	0.1076	0.2984	0.0	0.0	0.0017	0.197	0.4029	0.5838	0.5973	0.7012
No log	9.0	333	15.1906	0.1871	0.3393	0.166	0.2442	0.2201	0.0401	0.1826	0.3077	0.3425	0.4268	0.3931	0.1	-1.0	-1.0	0.1194	0.3396	0.002	0.05	0.0071	0.3747	0.3975	0.5638	0.5969	0.7272
No log	10.0	370	14.8474	0.1954	0.3502	0.1848	0.2464	0.2337	0.0208	0.1818	0.2982	0.311	0.3738	0.3728	0.02	-1.0	-1.0	0.1522	0.331	0.0	0.0	0.006	0.2627	0.4073	0.565	0.6066	0.7074

Framework versions

Transformers 4.54.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2

nasiraziz321/rtdetr-r50-bench-finetune

rtdetr-r50-bench-finetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nasiraziz321/
rtdetr-r50-bench-finetune