Modelpublic

KingRam/rtdetr-v2-r50-kitti-finetune-2

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

rtdetr-v2-r50-kitti-finetune-2

This model is a fine-tuned version of PekingU/rtdetr_v2_r50vd on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 8.5547
—Map: 0.485
—Map 50: 0.7268
—Map 75: 0.5322
—Map Small: 0.3428
—Map Medium: 0.4976
—Map Large: 0.6003
—Mar 1: 0.3725
—Mar 10: 0.5938
—Mar 100: 0.6304
—Mar Small: 0.4564
—Mar Medium: 0.6461
—Mar Large: 0.7557
—Map Car: 0.6901
—Mar 100 Car: 0.7866
—Map Pedestrian: 0.4012
—Mar 100 Pedestrian: 0.5245
—Map Cyclist: 0.426
—Mar 100 Cyclist: 0.5849
—Map Van: 0.6925
—Mar 100 Van: 0.7705
—Map Truck: 0.6798
—Mar 100 Truck: 0.811
—Map Misc: 0.4375
—Mar 100 Misc: 0.6007
—Map Tram: 0.6611
—Mar 100 Tram: 0.7587
—Map Person Sitting: 0.3329
—Mar 100 Person Sitting: 0.5486
—Map Dontcare: 0.044
—Mar 100 Dontcare: 0.2877

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: 3e-05
—trainbatchsize: 32
—evalbatchsize: 8
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: cosinewithrestarts
—lrschedulerwarmup_steps: 1000
—num_epochs: 40

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 Car	Mar 100 Car	Map Pedestrian	Mar 100 Pedestrian	Map Cyclist	Mar 100 Cyclist	Map Van	Mar 100 Van	Map Truck	Mar 100 Truck	Map Misc	Mar 100 Misc	Map Tram	Mar 100 Tram	Map Person Sitting	Mar 100 Person Sitting	Map Dontcare	Mar 100 Dontcare
No log	1.0	164	26.6753	0.0437	0.0725	0.0462	0.0207	0.0431	0.0811	0.0636	0.1473	0.1846	0.1324	0.1902	0.2671	0.3193	0.5141	0.0321	0.2986	0.0	0.0	0.0379	0.4384	0.0	0.061	0.0001	0.0176	0.0034	0.2534	0.0	0.0	0.0007	0.0779
No log	2.0	328	15.4174	0.1446	0.2304	0.1561	0.1265	0.1433	0.1852	0.1752	0.3192	0.3606	0.2893	0.3773	0.4656	0.5433	0.6832	0.2426	0.3687	0.0288	0.3011	0.2055	0.6112	0.2315	0.5961	0.0026	0.1622	0.0404	0.3784	0.0	0.0143	0.0064	0.1302
No log	3.0	492	12.2696	0.2023	0.3323	0.2077	0.1618	0.2117	0.2549	0.2258	0.4109	0.4626	0.3835	0.4601	0.5739	0.5918	0.7299	0.2987	0.4422	0.1587	0.4697	0.2849	0.6799	0.3097	0.7279	0.0071	0.2818	0.1533	0.567	0.0	0.0429	0.0161	0.2216
37.4405	4.0	656	11.0586	0.2433	0.4049	0.2493	0.2134	0.2492	0.3038	0.2443	0.4698	0.5424	0.4256	0.5363	0.6646	0.6274	0.7513	0.3277	0.4868	0.2426	0.5126	0.2803	0.6968	0.3803	0.7532	0.014	0.3682	0.2826	0.6432	0.0108	0.3857	0.0242	0.2839
37.4405	5.0	820	10.3133	0.2806	0.4547	0.2961	0.2328	0.2837	0.3547	0.2663	0.49	0.5555	0.4185	0.559	0.6984	0.6358	0.7531	0.3339	0.4863	0.2796	0.5238	0.378	0.6872	0.4073	0.7429	0.0215	0.3993	0.3853	0.6352	0.052	0.4714	0.0322	0.2999
37.4405	6.0	984	9.7662	0.3054	0.5185	0.3195	0.2689	0.3215	0.3844	0.2758	0.5107	0.5703	0.4374	0.5696	0.7159	0.6561	0.7597	0.3405	0.512	0.3027	0.5322	0.4172	0.6963	0.4722	0.7552	0.0877	0.4493	0.3186	0.6364	0.1171	0.4786	0.0362	0.3127
16.8251	7.0	1148	9.4750	0.3509	0.5729	0.378	0.2607	0.3567	0.4598	0.2975	0.5198	0.5849	0.4307	0.5936	0.7209	0.6682	0.7642	0.3432	0.5166	0.3392	0.5502	0.4744	0.7	0.5145	0.7597	0.1268	0.4709	0.4179	0.6591	0.234	0.5357	0.0402	0.3079
16.8251	8.0	1312	9.3075	0.3621	0.5918	0.3863	0.2941	0.3639	0.4724	0.3053	0.5325	0.5902	0.4475	0.5981	0.725	0.661	0.7617	0.3501	0.5143	0.3634	0.5789	0.4905	0.697	0.4751	0.761	0.1863	0.4818	0.4888	0.6966	0.2019	0.5143	0.0414	0.3065
16.8251	9.0	1476	9.0699	0.3982	0.6327	0.4195	0.2943	0.3976	0.5432	0.3114	0.5443	0.5945	0.4646	0.6006	0.7245	0.6756	0.7699	0.3777	0.5289	0.3615	0.5621	0.5296	0.7048	0.5267	0.7805	0.3019	0.5331	0.5024	0.6875	0.2603	0.4643	0.0481	0.3191
14.4838	10.0	1640	9.1070	0.3937	0.6283	0.4267	0.299	0.4035	0.5337	0.3202	0.5435	0.5916	0.4465	0.6109	0.7201	0.6589	0.7591	0.3683	0.5246	0.4087	0.5816	0.5225	0.6957	0.5485	0.7799	0.2963	0.5182	0.5203	0.7023	0.1765	0.4643	0.043	0.2987
14.4838	11.0	1804	8.7969	0.4133	0.6423	0.4569	0.3227	0.4218	0.531	0.3265	0.5557	0.6101	0.4809	0.6198	0.7311	0.6711	0.7751	0.3739	0.5227	0.4002	0.5989	0.5847	0.7192	0.5839	0.8032	0.3116	0.5459	0.551	0.7216	0.1918	0.4929	0.0517	0.3117
14.4838	12.0	1968	8.8831	0.4177	0.6518	0.463	0.3252	0.4204	0.5484	0.3257	0.5516	0.6058	0.4717	0.6139	0.7435	0.6465	0.7714	0.3627	0.5198	0.4031	0.5835	0.5675	0.7057	0.5809	0.7877	0.3579	0.5392	0.5302	0.7068	0.2677	0.5429	0.0431	0.2951
13.3813	13.0	2132	8.9170	0.4163	0.6465	0.4435	0.3343	0.429	0.5332	0.3306	0.5567	0.6078	0.4753	0.6236	0.7246	0.6017	0.7739	0.3715	0.5155	0.4009	0.5927	0.5681	0.7119	0.601	0.7942	0.3706	0.5608	0.5597	0.6932	0.2296	0.5143	0.0437	0.3136
13.3813	14.0	2296	8.9692	0.4215	0.6542	0.4692	0.3065	0.4345	0.5607	0.3332	0.55	0.6101	0.4498	0.6348	0.7302	0.5946	0.7705	0.3571	0.4854	0.4099	0.5923	0.5491	0.6895	0.6044	0.7825	0.3688	0.5547	0.5361	0.7023	0.3414	0.6143	0.032	0.2991
13.3813	15.0	2460	9.0191	0.4286	0.653	0.4774	0.3172	0.444	0.5587	0.3312	0.5625	0.6119	0.4572	0.6351	0.7368	0.5858	0.7684	0.3725	0.5138	0.4133	0.59	0.5664	0.7096	0.6089	0.8006	0.3946	0.5581	0.5826	0.7318	0.2959	0.5429	0.0371	0.2918
12.7559	16.0	2624	8.8599	0.4395	0.6774	0.4793	0.3384	0.4537	0.5631	0.3395	0.5638	0.6122	0.4709	0.6303	0.7336	0.6044	0.7735	0.3824	0.5192	0.4174	0.5862	0.5832	0.7087	0.6247	0.7961	0.4008	0.5628	0.5748	0.7341	0.3311	0.5429	0.0368	0.2866
12.7559	17.0	2788	8.8447	0.4403	0.6727	0.4992	0.3302	0.4428	0.5722	0.3375	0.56	0.6098	0.4632	0.6231	0.7357	0.6188	0.7731	0.3795	0.5147	0.4218	0.5816	0.5656	0.6986	0.632	0.7955	0.4008	0.5797	0.5675	0.708	0.3437	0.5286	0.0328	0.3085
12.7559	18.0	2952	8.8752	0.4472	0.6858	0.4983	0.3472	0.4535	0.5831	0.3408	0.5686	0.6111	0.4693	0.6283	0.7359	0.6328	0.7808	0.3748	0.5083	0.4284	0.5897	0.5811	0.7002	0.664	0.7883	0.4284	0.5757	0.5806	0.7239	0.3017	0.5357	0.0332	0.2973
12.3803	19.0	3116	8.7937	0.4535	0.6863	0.4951	0.3494	0.4585	0.5913	0.3462	0.5769	0.6261	0.4778	0.6486	0.7365	0.6397	0.7817	0.374	0.5058	0.4084	0.5789	0.6043	0.724	0.6619	0.8045	0.4323	0.6041	0.6065	0.7511	0.3214	0.5786	0.0336	0.3061
12.3803	20.0	3280	8.7272	0.463	0.7008	0.5113	0.3514	0.4674	0.5999	0.3472	0.5839	0.6248	0.4795	0.6422	0.7463	0.6451	0.7783	0.3761	0.518	0.447	0.6034	0.591	0.7055	0.6614	0.8123	0.4576	0.6115	0.6201	0.7375	0.328	0.5571	0.0409	0.2991
12.3803	21.0	3444	8.8055	0.448	0.6791	0.4896	0.3402	0.4657	0.5788	0.3444	0.5658	0.6074	0.4563	0.6359	0.7249	0.6441	0.7784	0.3818	0.5058	0.4062	0.5828	0.5866	0.6941	0.6459	0.7968	0.4307	0.5885	0.6095	0.733	0.2954	0.5071	0.0313	0.2802
12.0491	22.0	3608	8.7340	0.4626	0.6937	0.5258	0.3423	0.4707	0.6071	0.3483	0.5741	0.6135	0.4486	0.6403	0.7432	0.6535	0.7761	0.3713	0.4972	0.4414	0.5958	0.6041	0.6986	0.6706	0.8006	0.435	0.5986	0.6053	0.725	0.3414	0.55	0.0412	0.2794
12.0491	23.0	3772	8.7322	0.4673	0.7001	0.5319	0.3524	0.4728	0.6071	0.3475	0.5734	0.6146	0.4571	0.6367	0.7371	0.6625	0.7765	0.3702	0.494	0.4474	0.6011	0.6078	0.7185	0.6793	0.8006	0.4671	0.6108	0.5972	0.7227	0.3354	0.5286	0.0388	0.2785
12.0491	24.0	3936	8.7272	0.4689	0.7089	0.5159	0.3576	0.4778	0.6078	0.3516	0.5775	0.6175	0.4617	0.6409	0.7449	0.6714	0.7774	0.3769	0.4998	0.4521	0.6011	0.6039	0.7014	0.6728	0.8039	0.4508	0.5953	0.5955	0.7364	0.3659	0.5571	0.0313	0.2849
11.7826	25.0	4100	8.6300	0.4744	0.7087	0.5409	0.3488	0.4835	0.6099	0.3531	0.5863	0.6296	0.4622	0.6505	0.7535	0.6793	0.7805	0.373	0.4971	0.451	0.6115	0.6188	0.7098	0.6701	0.8097	0.4555	0.6088	0.6109	0.7375	0.3699	0.6286	0.0411	0.2831
11.7826	26.0	4264	8.6652	0.4636	0.6971	0.5039	0.3464	0.4771	0.6009	0.348	0.5679	0.6122	0.4574	0.6393	0.7303	0.6717	0.7762	0.3722	0.4914	0.4559	0.5931	0.6064	0.6991	0.6744	0.8091	0.4531	0.6074	0.6012	0.7375	0.3	0.5143	0.0371	0.2816
11.7826	27.0	4428	8.5516	0.4778	0.7179	0.5298	0.3636	0.4869	0.6157	0.3575	0.5829	0.6228	0.4695	0.6455	0.7471	0.6797	0.7842	0.3777	0.4911	0.4596	0.6119	0.6184	0.7151	0.6746	0.8091	0.4631	0.6068	0.6189	0.7364	0.3633	0.5643	0.045	0.2864
11.5542	28.0	4592	8.6945	0.4666	0.6992	0.5195	0.3515	0.4755	0.6043	0.3528	0.5726	0.6089	0.4526	0.6278	0.7461	0.6662	0.7751	0.3616	0.4722	0.437	0.5908	0.6069	0.7091	0.6784	0.8091	0.4569	0.5926	0.6035	0.733	0.3532	0.5286	0.0355	0.27
11.5542	29.0	4756	8.6367	0.4685	0.699	0.5258	0.3498	0.481	0.6079	0.3535	0.578	0.6138	0.4516	0.6392	0.7482	0.6763	0.7762	0.3706	0.4894	0.4522	0.5912	0.6024	0.6954	0.6819	0.8188	0.463	0.6068	0.6152	0.7455	0.3216	0.5357	0.0338	0.2655
11.5542	30.0	4920	8.5968	0.4753	0.7076	0.5274	0.3606	0.4846	0.6102	0.3549	0.5774	0.6142	0.4705	0.6374	0.7341	0.6791	0.7811	0.3721	0.4892	0.4541	0.6038	0.6135	0.7107	0.6809	0.8065	0.4895	0.625	0.6366	0.75	0.3151	0.4857	0.0368	0.2758
11.3582	31.0	5084	8.5456	0.482	0.7143	0.5492	0.3686	0.4913	0.6095	0.3594	0.5863	0.6279	0.4868	0.6507	0.7361	0.686	0.784	0.375	0.5032	0.4567	0.6123	0.6278	0.7228	0.6849	0.8156	0.4847	0.6297	0.6394	0.7489	0.3426	0.55	0.0408	0.2847
11.3582	32.0	5248	8.4824	0.4887	0.7193	0.5543	0.3679	0.4987	0.6223	0.361	0.5938	0.6366	0.4799	0.6597	0.7547	0.6914	0.7845	0.3822	0.5117	0.4624	0.6149	0.6299	0.7253	0.6885	0.8169	0.4856	0.6257	0.6521	0.7636	0.3661	0.6071	0.0398	0.2797
11.3582	33.0	5412	8.5231	0.4861	0.715	0.5624	0.3663	0.494	0.6221	0.3606	0.5865	0.6276	0.4749	0.65	0.7509	0.6874	0.7856	0.3761	0.5029	0.4603	0.6084	0.6258	0.7162	0.6876	0.8169	0.4906	0.6236	0.6402	0.7432	0.3695	0.5786	0.0371	0.2731
11.2454	34.0	5576	8.5219	0.4866	0.7135	0.5551	0.3664	0.4931	0.6279	0.3597	0.5936	0.6342	0.4814	0.6551	0.7563	0.688	0.7841	0.3779	0.5054	0.4573	0.6184	0.6265	0.724	0.6867	0.8156	0.4793	0.6203	0.6328	0.7614	0.3964	0.6	0.0348	0.2789
11.2454	35.0	5740	8.5075	0.4864	0.7204	0.5455	0.3666	0.4945	0.6205	0.3602	0.5926	0.6357	0.4821	0.6573	0.7574	0.6899	0.7865	0.3743	0.5023	0.4587	0.6169	0.632	0.721	0.6872	0.824	0.4905	0.6331	0.6498	0.7784	0.3577	0.5786	0.038	0.2802
11.2454	36.0	5904	8.5390	0.4862	0.7149	0.5533	0.3655	0.4939	0.6294	0.3594	0.5924	0.6321	0.4775	0.653	0.7583	0.6867	0.7845	0.3757	0.4992	0.4606	0.6142	0.6265	0.7189	0.6892	0.8214	0.4882	0.627	0.6369	0.7545	0.3754	0.5929	0.0366	0.2764
11.157	37.0	6068	8.5368	0.4863	0.715	0.5546	0.3651	0.4936	0.6307	0.3599	0.5883	0.6284	0.4785	0.6489	0.7595	0.6867	0.7848	0.3755	0.5	0.4632	0.6138	0.6276	0.7185	0.6899	0.8227	0.4912	0.6277	0.6382	0.7534	0.3693	0.5571	0.0351	0.2779

Framework versions

—Transformers 4.50.0.dev0
—Pytorch 2.6.0+cu124
—Datasets 3.3.2
—Tokenizers 0.21.1