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merve/rfdetr-roadsign-agree1-large-noaug

sourceHugging Faceapache-2.0updated 3mo agoView on Hugging Face

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rfdetr-roadsign-agree1-large-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: 15.1008
—Map: 0.6845
—Map 50: 0.7721
—Map 75: 0.7575
—Map Small: -1.0
—Map Medium: 0.4507
—Map Large: 0.6917
—Mar 1: 0.8025
—Mar 10: 0.8845
—Mar 100: 0.8855
—Mar Small: -1.0
—Mar Medium: 0.7414
—Mar Large: 0.8885
—Map Bus Stop: 0.7874
—Mar 100 Bus Stop: 0.9
—Map Do Not Enter: 0.9318
—Mar 100 Do Not Enter: 0.9471
—Map Do Not Stop: 0.6666
—Mar 100 Do Not Stop: 0.9
—Map Do Not Turn L: 0.7939
—Mar 100 Do Not Turn L: 0.9167
—Map Do Not Turn R: 0.7398
—Mar 100 Do Not Turn R: 0.975
—Map Do Not U Turn: 0.4199
—Mar 100 Do Not U Turn: 0.8889
—Map Enter Left Lane: 0.5538
—Mar 100 Enter Left Lane: 0.9
—Map Green Light: 0.6233
—Mar 100 Green Light: 0.75
—Map Left Right Lane: 0.8308
—Mar 100 Left Right Lane: 0.9231
—Map No Parking: 0.6834
—Mar 100 No Parking: 0.9286
—Map Parking: 0.8022
—Mar 100 Parking: 0.86
—Map Ped Crossing: 0.8679
—Mar 100 Ped Crossing: 0.9571
—Map Ped Zebra Cross: 0.8567
—Mar 100 Ped Zebra Cross: 0.9
—Map Railway Crossing: 0.6538
—Mar 100 Railway Crossing: 0.9286
—Map Red Light: 0.5374
—Mar 100 Red Light: 0.8105
—Map Stop: 0.8247
—Mar 100 Stop: 0.9467
—Map T Intersection L: 0.6582
—Mar 100 T Intersection L: 0.9444
—Map Traffic Light: 0.5362
—Mar 100 Traffic Light: 0.7571
—Map U Turn: 0.7833
—Mar 100 U Turn: 0.8857
—Map Warning: 0.6425
—Mar 100 Warning: 0.8471
—Map Yellow Light: 0.1808
—Mar 100 Yellow Light: 0.7286

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
—trainbatchsize: 8
—evalbatchsize: 8
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
—lrschedulertype: cosine
—lrschedulerwarmup_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
151.9024	1.0	142	32.8617	0.0001	0.0003	0.0	-1.0	0.0	0.0001	0.001	0.0085	0.024	-1.0	0.0	0.0286	0.0	0.0	0.0	0.0	0.0	0.0444	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	0.0	0.0	0.0011	0.0857	0.0003	0.06	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0429	0.0	0.1429	0.0	0.0	0.0001	0.1286
17.7572	2.0	284	24.1080	0.0001	0.0006	0.0	-1.0	0.0	0.0001	0.0042	0.0152	0.0384	-1.0	0.0	0.0389	0.0	0.0	0.0002	0.0412	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	0.0	0.0	0.0	0.0	0.0002	0.2857	0.0	0.0	0.0002	0.0429	0.0	0.0	0.0009	0.14	0.0	0.0	0.0001	0.0857	0.0	0.0	0.0015	0.2118	0.0	0.0
13.5777	3.0	426	17.9923	0.0016	0.0039	0.0007	-1.0	0.0	0.0016	0.0367	0.0931	0.1338	-1.0	0.0133	0.1386	0.0	0.0	0.0032	0.5353	0.0	0.0	0.0	0.0	0.0004	0.3125	0.0	0.0	0.0	0.0	0.0001	0.1	0.0	0.0	0.0013	0.0214	0.0	0.0	0.0116	0.6214	0.0	0.0	0.0	0.0	0.0	0.0105	0.0137	0.5267	0.0	0.0	0.0004	0.0929	0.0	0.0	0.0019	0.5882	0.0	0.0
11.8330	4.0	568	14.0392	0.0122	0.0213	0.0133	-1.0	0.0039	0.0124	0.2033	0.2794	0.315	-1.0	0.3771	0.3188	0.0	0.0	0.0451	0.8059	0.0022	0.1222	0.0	0.0	0.0101	0.825	0.066	0.5333	0.0029	0.66	0.008	0.4	0.0566	0.3692	0.0015	0.0643	0.0	0.0	0.0469	0.7857	0.0	0.0	0.0	0.0	0.0007	0.2053	0.0055	0.6867	0.0	0.0	0.0031	0.4929	0.0	0.0	0.0069	0.6647	0.0	0.0
10.9088	5.0	710	13.6745	0.0244	0.0333	0.0258	-1.0	0.0622	0.0229	0.4086	0.5208	0.5406	-1.0	0.4367	0.5434	0.0	0.0	0.1131	0.9059	0.0065	0.8667	0.0023	0.1667	0.0354	0.75	0.0131	0.7556	0.003	0.36	0.0038	0.595	0.0286	0.8615	0.0399	0.75	0.0	0.0	0.0508	0.8571	0.0207	0.84	0.039	0.7714	0.0157	0.5211	0.026	0.66	0.0068	0.1889	0.0152	0.6429	0.0	0.0	0.056	0.7882	0.0371	0.0714
10.1246	6.0	852	11.9059	0.0622	0.0828	0.0741	-1.0	0.0858	0.0684	0.5484	0.6825	0.7082	-1.0	0.6629	0.7038	0.0042	0.2333	0.208	0.9	0.0566	0.9222	0.0168	0.95	0.0223	0.8375	0.0296	0.8778	0.1579	0.96	0.154	0.655	0.0975	0.9231	0.0591	0.8143	0.0277	0.16	0.0365	0.8429	0.0334	0.74	0.0104	0.8286	0.0874	0.7474	0.0249	0.7933	0.0642	0.9222	0.039	0.6643	0.0	0.0	0.1664	0.8294	0.0112	0.2714
9.4682	7.0	994	12.3341	0.148	0.1856	0.1781	-1.0	0.1383	0.1584	0.6807	0.8274	0.848	-1.0	0.7086	0.8472	0.0405	0.7333	0.1252	0.9	0.3002	0.9333	0.2242	0.95	0.0426	0.9125	0.0695	0.9111	0.1116	0.96	0.2741	0.79	0.4248	0.9077	0.1842	0.85	0.0216	0.86	0.1419	0.9143	0.3032	0.9	0.0906	0.8571	0.0869	0.7421	0.1354	0.7867	0.0559	0.9	0.1034	0.7143	0.061	0.8143	0.2845	0.8706	0.0259	0.6
9.4100	8.0	1136	12.8237	0.2491	0.2943	0.2849	-1.0	0.1951	0.2588	0.731	0.8582	0.8653	-1.0	0.7395	0.862	0.3797	0.7667	0.4204	0.9294	0.1764	0.9556	0.7815	0.9167	0.2217	0.95	0.1045	0.9444	0.3205	0.88	0.3868	0.78	0.5481	0.8923	0.2353	0.85	0.0575	0.88	0.1889	0.9357	0.1812	0.94	0.0634	0.8429	0.0967	0.7684	0.1462	0.8667	0.1003	0.9333	0.2027	0.7429	0.2489	0.8714	0.3182	0.8824	0.0531	0.6429
8.8955	9.0	1278	13.2693	0.3449	0.4126	0.3968	-1.0	0.2869	0.3523	0.7483	0.8468	0.8585	-1.0	0.7267	0.8586	0.52	0.75	0.6347	0.9176	0.4669	0.9444	0.2139	0.9	0.3695	0.95	0.2043	0.8889	0.3279	0.9	0.495	0.78	0.5744	0.8769	0.469	0.8714	0.2278	0.92	0.194	0.9429	0.1745	0.92	0.1449	0.8286	0.2409	0.8	0.5924	0.88	0.1982	0.8778	0.1599	0.7643	0.4948	0.8429	0.4821	0.8294	0.0571	0.6429
8.7862	10.0	1420	13.3853	0.3916	0.4523	0.4402	-1.0	0.3731	0.3997	0.7733	0.8616	0.8677	-1.0	0.7324	0.8673	0.5851	0.7167	0.8643	0.9235	0.4982	0.9222	0.5316	0.95	0.4414	0.9375	0.3015	0.9	0.4607	0.96	0.5708	0.74	0.5458	0.9231	0.4491	0.9214	0.3866	0.86	0.2602	0.95	0.4156	0.88	0.1392	0.9571	0.2604	0.7579	0.5053	0.8733	0.1881	0.9222	0.1987	0.8143	0.239	0.8	0.2816	0.8412	0.0998	0.6714
8.3397	11.0	1562	13.7088	0.4522	0.5222	0.5106	-1.0	0.4679	0.461	0.7938	0.8698	0.8819	-1.0	0.7452	0.8861	0.7126	0.75	0.8573	0.9294	0.4449	0.9222	0.7509	0.95	0.4772	0.9625	0.1537	0.8667	0.3837	0.94	0.5807	0.76	0.7965	0.9308	0.5086	0.9143	0.4937	0.84	0.352	0.9643	0.5972	0.88	0.1705	0.9857	0.346	0.8053	0.6109	0.9067	0.1558	0.9	0.4238	0.7643	0.2343	0.9143	0.366	0.8471	0.0806	0.7857
7.9370	12.0	1704	13.8914	0.4761	0.5438	0.5294	-1.0	0.4947	0.4757	0.8	0.8747	0.8916	-1.0	0.7457	0.8947	0.6886	0.8167	0.9089	0.9412	0.4804	0.9667	0.6339	0.9333	0.3186	0.9625	0.2082	0.9333	0.2176	0.92	0.65	0.81	0.766	0.9077	0.6265	0.9429	0.4102	0.84	0.5417	0.95	0.6668	0.9	0.1959	0.9857	0.3033	0.7947	0.6644	0.9133	0.2093	0.9444	0.289	0.75	0.5987	0.8571	0.4173	0.9118	0.2018	0.7429
7.4761	13.0	1846	13.9790	0.5169	0.5925	0.5735	-1.0	0.5008	0.5231	0.8087	0.8867	0.8931	-1.0	0.7005	0.8985	0.6375	0.7667	0.8919	0.9353	0.4213	0.9444	0.7818	0.95	0.5409	0.95	0.3786	0.9444	0.3141	0.9	0.6295	0.77	0.8418	0.9231	0.5306	0.9	0.3769	0.88	0.4342	0.9643	0.7926	0.94	0.2766	0.9857	0.3853	0.7842	0.7604	0.9067	0.1879	0.9444	0.4333	0.7857	0.506	0.8857	0.4008	0.8941	0.3336	0.8
7.1662	14.0	1988	14.3093	0.5384	0.6213	0.6081	-1.0	0.5256	0.5387	0.8114	0.8958	0.9009	-1.0	0.721	0.9072	0.7578	0.9167	0.9098	0.9471	0.4333	0.9444	0.7761	0.9167	0.5267	0.9375	0.3232	0.9222	0.3677	0.92	0.6046	0.77	0.8341	0.9231	0.5773	0.9429	0.4458	0.9	0.4031	0.9571	0.6844	0.94	0.2046	0.9429	0.4213	0.7842	0.8036	0.9	0.2201	0.9333	0.5607	0.8071	0.5671	0.9286	0.4679	0.8706	0.4167	0.8143
7.1712	15.0	2130	14.1171	0.5689	0.6443	0.6281	-1.0	0.4952	0.5692	0.8006	0.892	0.9006	-1.0	0.7138	0.9073	0.7389	0.7833	0.9278	0.9412	0.4654	0.9667	0.9163	0.95	0.4667	0.95	0.4616	0.9556	0.3138	0.94	0.5629	0.74	0.8616	0.9231	0.6487	0.9429	0.4788	0.86	0.752	0.9786	0.8153	0.96	0.2412	0.9857	0.3166	0.8105	0.8035	0.9267	0.4169	0.9111	0.5084	0.8071	0.5379	0.8714	0.428	0.8941	0.2846	0.8143
6.7269	16.0	2272	14.1679	0.6027	0.6888	0.6705	-1.0	0.5405	0.6059	0.8171	0.8968	0.9001	-1.0	0.7567	0.9052	0.7275	0.7667	0.9377	0.9471	0.3194	0.9444	0.869	0.9167	0.7249	0.975	0.4045	0.9333	0.3805	0.94	0.6699	0.8	0.8662	0.9385	0.6768	0.9643	0.581	0.86	0.7159	0.9714	0.7891	0.92	0.3338	0.9857	0.4462	0.7789	0.8599	0.9067	0.2917	0.9333	0.547	0.8	0.6028	0.8571	0.5601	0.9059	0.353	0.8571
6.3449	17.0	2414	14.1885	0.613	0.6897	0.6707	-1.0	0.4953	0.619	0.8169	0.8957	0.9027	-1.0	0.7295	0.9091	0.7487	0.7833	0.9315	0.9529	0.4021	0.9556	0.9495	0.95	0.6428	0.975	0.3497	0.9444	0.41	0.92	0.661	0.78	0.852	0.9231	0.6554	0.95	0.7156	0.88	0.7742	0.9786	0.8163	0.92	0.3823	0.9857	0.4688	0.8263	0.854	0.9267	0.3352	0.9333	0.4812	0.7571	0.6273	0.8857	0.4997	0.9	0.3147	0.8286
6.3178	18.0	2556	14.3209	0.6391	0.7168	0.705	-1.0	0.5785	0.6408	0.8328	0.9027	0.9064	-1.0	0.7681	0.9069	0.8032	0.9667	0.9229	0.9412	0.5115	0.9556	0.9096	0.9333	0.691	0.975	0.3382	0.9444	0.4191	0.94	0.6591	0.755	0.8627	0.9231	0.7207	0.9357	0.6145	0.9	0.8331	0.9714	0.8239	0.94	0.3948	0.9714	0.5913	0.8053	0.8642	0.9533	0.441	0.9444	0.5625	0.8071	0.5176	0.8714	0.5832	0.8294	0.3575	0.7714
5.9675	19.0	2698	14.5537	0.652	0.7336	0.7177	-1.0	0.5107	0.6554	0.8216	0.8947	0.9006	-1.0	0.699	0.9028	0.7721	0.7833	0.9233	0.9353	0.6121	0.9333	0.92	0.95	0.7538	0.9875	0.4183	0.9444	0.5311	0.96	0.6082	0.715	0.847	0.9538	0.7269	0.9429	0.7274	0.92	0.7512	0.9571	0.7813	0.94	0.3315	0.9571	0.5407	0.8053	0.8402	0.9133	0.5508	0.9333	0.6015	0.7714	0.6084	0.9286	0.5576	0.8941	0.2892	0.7857
6.0040	20.0	2840	14.6292	0.6375	0.7159	0.6994	-1.0	0.4473	0.6447	0.8217	0.8993	0.9038	-1.0	0.7862	0.9067	0.7543	0.8	0.9265	0.9412	0.5416	0.9222	0.8835	0.9333	0.6725	0.9875	0.3505	0.9222	0.439	0.92	0.6328	0.755	0.8326	0.9308	0.7136	0.95	0.7481	0.92	0.8323	0.9643	0.8522	0.94	0.4389	0.9571	0.4798	0.7947	0.8199	0.9533	0.4633	0.9333	0.5616	0.8	0.5966	0.9	0.636	0.9118	0.212	0.8429
5.4589	21.0	2982	14.8683	0.676	0.7539	0.7376	-1.0	0.4478	0.6846	0.8181	0.8925	0.8935	-1.0	0.7057	0.8967	0.8151	0.8333	0.9426	0.9529	0.5209	0.9444	0.899	0.9333	0.5937	0.975	0.4961	0.9556	0.5427	0.94	0.618	0.745	0.8254	0.9231	0.7445	0.9571	0.7161	0.88	0.8827	0.9714	0.8567	0.9	0.8032	0.9571	0.469	0.7526	0.8451	0.9533	0.4897	0.9333	0.575	0.7786	0.6947	0.8571	0.6698	0.9059	0.1964	0.7143
5.4794	22.0	3124	14.8209	0.6729	0.7502	0.7313	-1.0	0.4581	0.6788	0.8197	0.9109	0.9135	-1.0	0.7786	0.9188	0.754	0.9	0.9263	0.9412	0.5868	0.9444	0.8452	0.95	0.7325	0.9875	0.495	0.9556	0.5801	0.94	0.6046	0.765	0.8208	0.9308	0.7897	0.9429	0.7617	0.88	0.8759	0.9786	0.8517	0.92	0.7279	0.9714	0.4985	0.8158	0.8433	0.9467	0.3521	0.9333	0.5414	0.7857	0.6726	0.9	0.6575	0.9235	0.214	0.8714
5.1854	23.0	3266	14.9806	0.6863	0.7658	0.7481	-1.0	0.4818	0.6909	0.8209	0.8953	0.8974	-1.0	0.7838	0.896	0.7655	0.8	0.9373	0.9471	0.6667	0.9333	0.8346	0.9333	0.8012	0.9875	0.4689	0.9444	0.5382	0.94	0.6307	0.755	0.8328	0.9462	0.7797	0.9643	0.8689	0.92	0.8717	0.9714	0.852	0.92	0.6062	0.9429	0.4835	0.7632	0.8458	0.9467	0.4504	0.9444	0.585	0.8	0.7446	0.9	0.6445	0.9	0.205	0.6857
4.9699	24.0	3408	14.9073	0.6865	0.7729	0.755	-1.0	0.5094	0.6892	0.8145	0.8944	0.8978	-1.0	0.7862	0.8999	0.7998	0.8833	0.9255	0.9353	0.7016	0.9222	0.8579	0.95	0.7848	1.0	0.459	0.9222	0.5312	0.9	0.635	0.745	0.8556	0.9385	0.7331	0.9429	0.8168	0.88	0.8757	0.9571	0.8586	0.92	0.5792	0.9286	0.53	0.8105	0.817	0.94	0.5394	0.9444	0.5736	0.7857	0.6952	0.8857	0.6386	0.9059	0.2076	0.7571
4.8681	25.0	3550	15.0810	0.6936	0.7775	0.7619	-1.0	0.4749	0.7006	0.8102	0.8951	0.8966	-1.0	0.7624	0.898	0.7719	0.9	0.9365	0.9412	0.7042	0.9111	0.8552	0.95	0.811	0.9875	0.4438	0.9222	0.5807	0.94	0.6307	0.725	0.8295	0.9154	0.7247	0.9429	0.8171	0.88	0.8786	0.9643	0.8718	0.92	0.6671	0.9429	0.534	0.8053	0.8245	0.94	0.5276	0.9444	0.5799	0.7857	0.7323	0.8714	0.6534	0.9118	0.1916	0.7286
4.7608	26.0	3692	15.0759	0.6818	0.7663	0.7565	-1.0	0.4707	0.6874	0.8053	0.8876	0.8909	-1.0	0.7452	0.891	0.7718	0.8667	0.9332	0.9529	0.6885	0.9222	0.7937	0.9167	0.7388	0.9875	0.4128	0.9	0.5357	0.94	0.6185	0.755	0.8417	0.9385	0.6902	0.9429	0.8026	0.9	0.877	0.9643	0.8569	0.92	0.6397	0.9286	0.5185	0.7789	0.8314	0.9267	0.6288	0.9444	0.5591	0.7643	0.7774	0.8714	0.6242	0.8882	0.1763	0.7
4.5169	27.0	3834	15.1649	0.6806	0.7686	0.7533	-1.0	0.5089	0.6844	0.806	0.889	0.8895	-1.0	0.7924	0.8898	0.7867	0.85	0.9338	0.9471	0.6803	0.9222	0.8001	0.9333	0.7766	1.0	0.429	0.9	0.5538	0.9	0.623	0.74	0.8368	0.9231	0.6396	0.9214	0.7978	0.92	0.8809	0.9571	0.8584	0.9	0.6101	0.9429	0.5453	0.7737	0.8166	0.94	0.5665	0.9444	0.5647	0.7643	0.7582	0.9	0.6182	0.9	0.2157	0.7
4.4554	28.0	3976	15.1190	0.6809	0.7684	0.7539	-1.0	0.4675	0.6863	0.8018	0.8874	0.8893	-1.0	0.7448	0.8909	0.7719	0.8833	0.9329	0.9412	0.6819	0.9222	0.7836	0.9	0.7398	0.975	0.4142	0.9111	0.5538	0.9	0.6179	0.73	0.8356	0.9231	0.6536	0.9286	0.751	0.9	0.8761	0.9643	0.8567	0.9	0.6525	0.9286	0.5335	0.8053	0.8313	0.9333	0.6371	0.9444	0.5498	0.7714	0.785	0.8857	0.6395	0.9	0.2011	0.7286
4.6058	29.0	4118	15.1376	0.6803	0.7685	0.7545	-1.0	0.4505	0.6869	0.8019	0.8872	0.8884	-1.0	0.7552	0.8909	0.7873	0.9	0.9318	0.9471	0.6666	0.9	0.7936	0.95	0.7398	0.975	0.4204	0.9	0.5652	0.9	0.6041	0.735	0.8346	0.9231	0.6651	0.9214	0.7664	0.88	0.8667	0.9571	0.8568	0.92	0.6539	0.9429	0.5348	0.7895	0.8246	0.9467	0.6303	0.9444	0.5504	0.7571	0.7851	0.8857	0.6432	0.8529	0.1659	0.7286
4.3633	30.0	4260	15.1008	0.6845	0.7721	0.7575	-1.0	0.4507	0.6917	0.8025	0.8845	0.8855	-1.0	0.7414	0.8885	0.7874	0.9	0.9318	0.9471	0.6666	0.9	0.7939	0.9167	0.7398	0.975	0.4199	0.8889	0.5538	0.9	0.6233	0.75	0.8308	0.9231	0.6834	0.9286	0.8022	0.86	0.8679	0.9571	0.8567	0.9	0.6538	0.9286	0.5374	0.8105	0.8247	0.9467	0.6582	0.9444	0.5362	0.7571	0.7833	0.8857	0.6425	0.8471	0.1808	0.7286

Framework versions

—Transformers 5.12.1
—Pytorch 2.12.1+cu130
—Datasets 5.0.0
—Tokenizers 0.22.2