rfdetr-roadsign-agree1-noaug

This model is a fine-tuned version of Roboflow/rf-detr-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 14.1509
Map: 0.6591
Map 50: 0.7654
Map 75: 0.7088
Map Small: 0.1129
Map Medium: 0.3168
Map Large: 0.6689
Mar 1: 0.774
Mar 10: 0.8669
Mar 100: 0.8737
Mar Small: 0.125
Mar Medium: 0.4479
Mar Large: 0.8947
Map Bus Stop: 0.9112
Mar 100 Bus Stop: 0.9333
Map Do Not Enter: 0.8602
Mar 100 Do Not Enter: 0.8933
Map Do Not Stop: 0.4045
Mar 100 Do Not Stop: 0.7
Map Do Not Turn L: 0.375
Mar 100 Do Not Turn L: 0.8778
Map Do Not Turn R: 0.8396
Mar 100 Do Not Turn R: 0.95
Map Do Not U Turn: 0.8067
Mar 100 Do Not U Turn: 0.9273
Map Enter Left Lane: 0.9835
Mar 100 Enter Left Lane: 1.0
Map Green Light: 0.6719
Mar 100 Green Light: 0.7824
Map Left Right Lane: 0.8216
Mar 100 Left Right Lane: 0.975
Map No Parking: 0.5445
Mar 100 No Parking: 0.9333
Map Parking: 0.6805
Mar 100 Parking: 0.9
Map Ped Crossing: 0.7957
Mar 100 Ped Crossing: 0.9059
Map Ped Zebra Cross: -1.0
Mar 100 Ped Zebra Cross: -1.0
Map Railway Crossing: 0.5294
Mar 100 Railway Crossing: 0.95
Map Red Light: 0.1564
Mar 100 Red Light: 0.5368
Map Stop: 0.9077
Mar 100 Stop: 0.9538
Map T Intersection L: 0.545
Mar 100 T Intersection L: 0.9333
Map Traffic Light: 0.3685
Mar 100 Traffic Light: 0.7625
Map U Turn: 0.9252
Mar 100 U Turn: 0.95
Map Warning: 0.7549
Mar 100 Warning: 0.9087
Map Yellow Light: 0.3009
Mar 100 Yellow Light: 0.7

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
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: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 30

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 Bus Stop	Mar 100 Bus Stop	Map Do Not Enter	Mar 100 Do Not Enter	Map Do Not Stop	Mar 100 Do Not Stop	Map Do Not Turn L	Mar 100 Do Not Turn L	Map Do Not Turn R	Mar 100 Do Not Turn R	Map Do Not U Turn	Mar 100 Do Not U Turn	Map Enter Left Lane	Mar 100 Enter Left Lane	Map Green Light	Mar 100 Green Light	Map Left Right Lane	Mar 100 Left Right Lane	Map No Parking	Mar 100 No Parking	Map Parking	Mar 100 Parking	Map Ped Crossing	Mar 100 Ped Crossing	Map Ped Zebra Cross	Mar 100 Ped Zebra Cross	Map Railway Crossing	Mar 100 Railway Crossing	Map Red Light	Mar 100 Red Light	Map Stop	Mar 100 Stop	Map T Intersection L	Mar 100 T Intersection L	Map Traffic Light	Mar 100 Traffic Light	Map U Turn	Mar 100 U Turn	Map Warning	Mar 100 Warning	Map Yellow Light	Mar 100 Yellow Light
163.2909	1.0	135	32.3778	0.0001	0.0004	0.0	0.0	0.0	0.0001	0.0028	0.0127	0.0183	0.0	0.0	0.0183	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0012	0.2364	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	-1.0	-1.0	0.0001	0.13	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
16.1777	2.0	270	19.4581	0.0002	0.0008	0.0001	0.0	0.0	0.0002	0.0047	0.0382	0.0718	0.0	0.0	0.0775	0.0	0.0	0.0	0.0	0.0005	0.3571	0.0	0.0	0.0009	0.4667	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0009	0.2765	0.0	0.0	0.0	0.0316	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0021	0.3043	0.0	0.0	-1.0	-1.0
11.5618	3.0	405	18.1555	0.0083	0.0156	0.0076	0.0	0.0061	0.011	0.1142	0.216	0.2811	0.0	0.1385	0.297	0.0	0.0	0.0188	0.4467	0.0062	0.5429	0.0027	0.6111	0.0103	0.5	0.001	0.5182	0.0011	0.5333	0.0396	0.1941	0.0115	0.075	0.0	0.0	0.0	0.0	0.0117	0.5588	0.0	0.0	0.004	0.3368	0.0172	0.5231	0.0	0.0	0.0	0.0	0.0	0.0	0.042	0.7826	0.0	0.0	-1.0	-1.0
10.4854	4.0	540	12.6967	0.0525	0.0728	0.061	0.0283	0.0658	0.0546	0.4095	0.5184	0.5488	0.2	0.2271	0.5622	0.0	0.0	0.2226	0.9	0.03	0.7714	0.0213	0.6111	0.0409	0.875	0.0488	0.8636	0.0331	0.7833	0.1195	0.4529	0.0613	0.8083	0.1031	0.7556	0.0	0.0	0.0789	0.7353	0.0281	0.49	0.0277	0.4316	0.0032	0.4385	0.0049	0.3833	0.0135	0.5125	0.0	0.0	0.2094	0.8304	0.0034	0.3333	-1.0	-1.0
9.9162	5.0	675	11.4057	0.0958	0.128	0.1174	0.0114	0.1156	0.0965	0.6246	0.7849	0.811	0.125	0.4948	0.8295	0.1352	0.8167	0.1943	0.8733	0.0248	0.6714	0.0315	0.9111	0.0642	0.9167	0.0613	0.9182	0.0473	0.9167	0.1916	0.6941	0.0613	0.9583	0.0467	0.8667	0.0584	0.825	0.0815	0.8647	0.0353	0.74	0.1019	0.5526	0.0472	0.6692	0.1141	0.9167	0.015	0.7375	0.2756	0.95	0.3246	0.887	0.0036	0.5333	-1.0	-1.0
9.1060	6.0	810	12.7006	0.1639	0.2187	0.1812	0.0988	0.1713	0.1814	0.653	0.7704	0.7809	0.3	0.5219	0.7974	0.3529	0.8667	0.2325	0.8733	0.0553	0.7429	0.0558	0.8667	0.1258	0.9	0.1687	0.9273	0.0983	0.9333	0.5445	0.7706	0.2368	0.9333	0.0735	0.8556	0.0823	0.775	0.1578	0.8529	-1.0	-1.0	0.0769	0.8	0.1153	0.5842	0.0519	0.7615	0.0373	0.85	0.1485	0.4625	0.0566	0.825	0.5021	0.8043	0.1048	0.2333
8.8326	7.0	945	12.4401	0.2369	0.2923	0.2552	0.0537	0.1766	0.2484	0.7269	0.8337	0.8462	0.325	0.6375	0.8557	0.0514	0.9167	0.5559	0.86	0.0642	0.6857	0.277	0.8778	0.1139	0.9417	0.2389	0.9	0.4758	0.9333	0.4228	0.7706	0.2038	0.9083	0.2041	0.9222	0.1736	0.8375	0.2539	0.8941	-1.0	-1.0	0.1864	0.9	0.1307	0.5421	0.1655	0.9385	0.4228	0.9333	0.0283	0.8125	0.1587	0.925	0.4648	0.8913	0.1462	0.5333
8.7216	8.0	1080	12.9107	0.2554	0.3124	0.2862	0.0842	0.224	0.2657	0.7437	0.8358	0.8459	0.15	0.5063	0.8662	0.0609	0.9	0.807	0.88	0.1386	0.6857	0.2093	0.8556	0.2647	0.9417	0.2636	0.9273	0.1438	0.9167	0.6142	0.8353	0.203	0.9417	0.1503	0.9444	0.3086	0.775	0.3681	0.8941	-1.0	-1.0	0.1491	0.91	0.1712	0.5895	0.3509	0.9615	0.0944	0.9	0.0504	0.75	0.0844	0.875	0.4906	0.8348	0.1844	0.6
8.2924	9.0	1215	13.3950	0.3059	0.3676	0.3472	0.1948	0.3191	0.3116	0.74	0.8347	0.8484	0.525	0.5167	0.8627	0.2654	0.9167	0.7411	0.8667	0.1106	0.7143	0.2087	0.8778	0.3398	0.9417	0.3536	0.8636	0.3393	0.9167	0.6799	0.7941	0.3983	0.925	0.1561	0.9111	0.4103	0.85	0.3309	0.9176	-1.0	-1.0	0.1932	0.94	0.2101	0.6684	0.1697	0.8923	0.075	0.9	0.0526	0.725	0.5014	0.925	0.4957	0.8217	0.0854	0.6
7.9380	10.0	1350	13.1425	0.3874	0.4534	0.4312	0.0896	0.3986	0.3957	0.7573	0.8551	0.8713	0.1	0.5198	0.892	0.8185	0.9667	0.7259	0.8867	0.2565	0.8143	0.198	0.8889	0.4343	0.9583	0.2856	0.8909	0.5159	0.9667	0.6534	0.8	0.6244	0.9583	0.1778	0.9444	0.4824	0.85	0.3255	0.9235	-1.0	-1.0	0.1697	0.92	0.1917	0.5632	0.6561	0.9615	0.104	0.9333	0.0862	0.7625	0.3438	0.875	0.5425	0.8609	0.1549	0.7
7.6195	11.0	1485	13.2858	0.4234	0.5063	0.4573	0.0605	0.3452	0.4414	0.752	0.847	0.8669	0.225	0.4875	0.8875	0.9	0.9167	0.8103	0.8667	0.073	0.7714	0.2501	0.8778	0.4918	0.9417	0.4454	0.9	0.394	0.95	0.6641	0.7647	0.66	0.9667	0.4103	0.9444	0.4378	0.875	0.412	0.9412	-1.0	-1.0	0.2428	0.93	0.2154	0.5737	0.5531	0.9231	0.1605	0.9	0.0578	0.8	0.4081	0.9	0.5989	0.8609	0.2834	0.7333
7.4910	12.0	1620	13.3922	0.4948	0.5738	0.5367	0.1393	0.3648	0.5038	0.7757	0.8677	0.8791	0.375	0.4854	0.8981	0.9337	0.95	0.8627	0.8933	0.1026	0.7571	0.249	0.8667	0.6006	0.9667	0.6757	0.9364	0.3744	0.9833	0.6929	0.8176	0.7688	0.95	0.3723	0.9556	0.559	0.9125	0.4471	0.9235	-1.0	-1.0	0.1847	0.9	0.1995	0.6211	0.8322	0.9615	0.1703	0.9	0.0677	0.8	0.8691	0.875	0.6291	0.8783	0.305	0.7333
7.1923	13.0	1755	13.4733	0.4889	0.5702	0.5474	0.0958	0.3993	0.5068	0.7751	0.8687	0.8799	0.25	0.5167	0.8995	0.8894	0.95	0.8219	0.8733	0.1796	0.8286	0.2869	0.9	0.6189	0.95	0.522	0.9182	0.6144	0.95	0.6943	0.7882	0.7021	0.9833	0.2146	0.9556	0.4318	0.8875	0.4585	0.9235	-1.0	-1.0	0.2532	0.91	0.2739	0.6105	0.8364	0.9615	0.1149	0.9	0.2049	0.8125	0.7663	0.9	0.6489	0.8609	0.2462	0.7333
7.1067	14.0	1890	13.0853	0.5134	0.5947	0.5487	0.0859	0.2738	0.5212	0.7684	0.8662	0.8871	0.3	0.451	0.9096	0.8835	0.9667	0.8673	0.9	0.1473	0.7571	0.2101	0.9	0.6648	0.95	0.6821	0.9545	0.6032	0.9833	0.6557	0.7941	0.8662	0.9833	0.3104	0.9556	0.4492	0.9	0.7007	0.9353	-1.0	-1.0	0.3017	0.94	0.2043	0.5842	0.7839	0.9231	0.0973	0.9167	0.1076	0.8125	0.9011	0.925	0.5433	0.8609	0.2885	0.8
6.5627	15.0	2025	13.6003	0.5521	0.6439	0.5894	0.1127	0.3488	0.5615	0.7732	0.8714	0.8836	0.175	0.4688	0.9056	0.9168	0.9333	0.8661	0.8933	0.1496	0.8	0.3383	0.8889	0.6828	0.975	0.768	0.9	0.7339	0.9333	0.609	0.7941	0.8345	0.9583	0.4234	0.9667	0.4624	0.875	0.647	0.9471	-1.0	-1.0	0.3274	0.97	0.1907	0.5526	0.7948	0.9308	0.1329	0.95	0.2453	0.8	0.9258	0.95	0.7045	0.887	0.2894	0.7667
6.3429	16.0	2160	13.3846	0.5686	0.6561	0.606	0.0601	0.3107	0.5771	0.763	0.8642	0.8815	0.125	0.4177	0.9067	0.937	0.95	0.8644	0.9133	0.3549	0.8143	0.368	0.8667	0.6763	0.95	0.7103	0.9182	0.8268	0.9667	0.5989	0.7882	0.7326	0.975	0.3533	0.9667	0.5589	0.8875	0.6771	0.9235	-1.0	-1.0	0.348	0.92	0.138	0.5211	0.8087	0.9538	0.199	0.9333	0.3004	0.85	0.9258	0.95	0.724	0.8826	0.2684	0.7
6.2313	17.0	2295	13.5448	0.6007	0.6766	0.6491	0.1416	0.2529	0.61	0.7642	0.8676	0.8836	0.225	0.4448	0.9051	0.9136	0.95	0.8552	0.8867	0.3637	0.7571	0.3703	0.9	0.6892	0.9583	0.7434	0.9091	1.0	1.0	0.6675	0.7765	0.8153	0.975	0.4327	0.9333	0.4754	0.9125	0.7491	0.9529	-1.0	-1.0	0.7042	0.97	0.104	0.5789	0.8826	0.9462	0.1761	0.9333	0.4338	0.8125	0.9505	0.95	0.6047	0.8696	0.083	0.7
6.0910	18.0	2430	13.5529	0.6203	0.7036	0.6753	0.1251	0.3931	0.6335	0.7812	0.8729	0.8809	0.25	0.4719	0.9	0.917	0.95	0.8691	0.8933	0.4062	0.7429	0.3181	0.9	0.7198	0.9583	0.6901	0.9273	0.9351	0.9833	0.7052	0.7882	0.7687	0.975	0.5741	0.9556	0.6822	0.9	0.7743	0.9235	-1.0	-1.0	0.4877	0.93	0.266	0.5579	0.9051	0.9462	0.2991	0.95	0.4037	0.8375	0.8883	0.95	0.621	0.8826	0.176	0.6667
5.7555	19.0	2565	13.5266	0.6224	0.7197	0.6665	0.1422	0.3821	0.6285	0.7748	0.8674	0.8856	0.275	0.4792	0.9046	0.9254	0.9667	0.857	0.9067	0.4471	0.7429	0.3222	0.8889	0.7056	0.9583	0.7392	0.9091	0.9257	0.9833	0.7193	0.8059	0.7954	0.975	0.5188	0.9667	0.5673	0.9	0.764	0.9176	-1.0	-1.0	0.5427	0.95	0.1847	0.5737	0.9349	0.9462	0.2528	0.9333	0.4083	0.8625	0.8883	0.95	0.6818	0.9087	0.2681	0.6667
5.3816	20.0	2700	13.5130	0.6355	0.7325	0.6894	0.1195	0.389	0.6447	0.7746	0.866	0.8769	0.2	0.4646	0.8979	0.9029	0.9333	0.8583	0.9	0.4517	0.8143	0.3288	0.8889	0.7925	0.9667	0.7836	0.9364	0.9632	0.9667	0.6895	0.7588	0.8586	0.9583	0.549	0.9444	0.5888	0.8875	0.7657	0.9471	-1.0	-1.0	0.5267	0.94	0.1951	0.5526	0.9175	0.9692	0.4421	0.9333	0.2222	0.8375	0.9129	0.925	0.6603	0.8783	0.3001	0.6
5.3431	21.0	2835	13.7367	0.638	0.7364	0.683	0.0631	0.3758	0.6512	0.7832	0.8705	0.8762	0.125	0.4604	0.8979	0.9252	0.95	0.8619	0.88	0.4521	0.7429	0.3867	0.8889	0.8047	0.9583	0.6941	0.9273	0.9526	0.9667	0.6999	0.7647	0.8754	0.9667	0.4137	0.9444	0.5903	0.925	0.8042	0.9235	-1.0	-1.0	0.5184	0.96	0.2055	0.5368	0.9148	0.9462	0.4664	0.9167	0.2122	0.775	0.9253	0.975	0.7059	0.9087	0.3499	0.6667
5.0044	22.0	2970	13.9254	0.6708	0.7621	0.7142	0.0842	0.3329	0.6816	0.7781	0.8793	0.8837	0.175	0.4417	0.906	0.9224	0.9333	0.8711	0.9067	0.4595	0.8143	0.3512	0.8889	0.8558	0.95	0.7303	0.9182	0.9526	0.9667	0.6971	0.7765	0.9252	0.9917	0.6118	0.9556	0.6847	0.8875	0.8031	0.9176	-1.0	-1.0	0.6151	0.96	0.1766	0.5579	0.931	0.9462	0.5309	0.9	0.2971	0.8	0.9252	0.95	0.7239	0.887	0.3513	0.7667
4.8150	23.0	3105	13.8632	0.6658	0.7598	0.7172	0.0896	0.319	0.6791	0.791	0.8545	0.8701	0.1	0.4375	0.8923	0.9114	0.95	0.8575	0.9067	0.4485	0.6714	0.3744	0.9	0.7745	0.9667	0.7657	0.9273	1.0	1.0	0.6744	0.7882	0.916	0.9833	0.5074	0.9556	0.6448	0.8875	0.778	0.9176	-1.0	-1.0	0.5155	0.94	0.157	0.5368	0.9166	0.9462	0.7044	0.9	0.3427	0.8	0.9086	0.925	0.7696	0.9	0.3493	0.6
4.4535	24.0	3240	13.9837	0.6596	0.7613	0.7022	0.169	0.336	0.6698	0.7828	0.8569	0.8676	0.225	0.4552	0.8855	0.9113	0.95	0.8719	0.9	0.4292	0.6429	0.3427	0.8778	0.8269	0.95	0.803	0.9364	0.9554	0.9667	0.69	0.7824	0.8941	0.9833	0.5661	0.9556	0.6727	0.9125	0.794	0.9	-1.0	-1.0	0.5286	0.95	0.194	0.5526	0.9303	0.9538	0.5407	0.8833	0.3724	0.7875	0.9254	0.975	0.7101	0.8913	0.2344	0.6
4.2892	25.0	3375	14.0744	0.661	0.7621	0.7045	0.0989	0.3161	0.671	0.7797	0.8743	0.8802	0.125	0.4354	0.9021	0.9113	0.95	0.8673	0.9	0.4489	0.7429	0.3736	0.8889	0.8525	0.95	0.7633	0.9364	0.9835	1.0	0.6827	0.7647	0.83	0.9833	0.4456	0.9556	0.6842	0.9125	0.7995	0.9176	-1.0	-1.0	0.5491	0.95	0.1576	0.5316	0.9252	0.9462	0.5951	0.9333	0.3746	0.8	0.9252	0.95	0.7499	0.8913	0.3004	0.7
4.4430	26.0	3510	14.1064	0.6599	0.7702	0.7123	0.1129	0.314	0.6722	0.7795	0.8678	0.8728	0.125	0.4396	0.893	0.8896	0.95	0.8612	0.8867	0.4047	0.6714	0.431	0.9	0.8351	0.9583	0.7912	0.9091	0.9663	0.9667	0.6648	0.7706	0.8636	0.9833	0.5401	0.9556	0.6645	0.9	0.7881	0.9176	-1.0	-1.0	0.4744	0.93	0.1728	0.5211	0.9119	0.9692	0.598	0.9167	0.3628	0.8	0.9252	0.95	0.7525	0.9	0.3011	0.7
4.2438	27.0	3645	14.1353	0.6578	0.765	0.711	0.0923	0.3439	0.6688	0.7744	0.8575	0.8637	0.125	0.4771	0.8824	0.9029	0.9333	0.8596	0.8867	0.42	0.6286	0.3557	0.8889	0.8389	0.9583	0.7709	0.9091	0.9666	0.9833	0.6738	0.7882	0.8384	0.975	0.5646	0.9444	0.6828	0.9	0.7934	0.9118	-1.0	-1.0	0.5065	0.94	0.1754	0.5263	0.9083	0.9538	0.5473	0.9167	0.359	0.8	0.9252	0.95	0.7659	0.913	0.3002	0.5667
4.2993	28.0	3780	14.1401	0.6583	0.764	0.7051	0.1129	0.3176	0.6684	0.7809	0.8659	0.8724	0.125	0.451	0.8924	0.9112	0.9333	0.8599	0.8867	0.4043	0.7143	0.4141	0.8778	0.8441	0.95	0.7891	0.9182	0.9835	1.0	0.6743	0.7824	0.8032	0.975	0.5409	0.9333	0.681	0.9	0.7897	0.9235	-1.0	-1.0	0.4486	0.95	0.1633	0.5316	0.9041	0.9385	0.5449	0.9167	0.3862	0.8	0.9252	0.95	0.7475	0.9	0.35	0.6667
4.1272	29.0	3915	14.1281	0.6609	0.7673	0.7107	0.0639	0.3183	0.6701	0.778	0.8667	0.8743	0.125	0.4552	0.8942	0.9112	0.9333	0.8599	0.8867	0.4036	0.6857	0.3837	0.8778	0.8395	0.9417	0.7861	0.9273	0.9835	1.0	0.674	0.7882	0.8552	0.975	0.5445	0.9333	0.6831	0.8875	0.802	0.9176	-1.0	-1.0	0.528	0.95	0.154	0.5368	0.9165	0.9615	0.545	0.9333	0.3734	0.8	0.9252	0.95	0.7486	0.9	0.301	0.7
4.0027	30.0	4050	14.1509	0.6591	0.7654	0.7088	0.1129	0.3168	0.6689	0.774	0.8669	0.8737	0.125	0.4479	0.8947	0.9112	0.9333	0.8602	0.8933	0.4045	0.7	0.375	0.8778	0.8396	0.95	0.8067	0.9273	0.9835	1.0	0.6719	0.7824	0.8216	0.975	0.5445	0.9333	0.6805	0.9	0.7957	0.9059	-1.0	-1.0	0.5294	0.95	0.1564	0.5368	0.9077	0.9538	0.545	0.9333	0.3685	0.7625	0.9252	0.95	0.7549	0.9087	0.3009	0.7

Framework versions

Transformers 5.12.1
Pytorch 2.12.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2

merve/rfdetr-roadsign-agree1-noaug

rfdetr-roadsign-agree1-noaug

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Seed this model