segformer-b0-finetuned-segments-sidewalk-oct-22

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

• Loss: 1.1574
• Mean Iou: 0.1657
• Mean Accuracy: 0.2143
• Overall Accuracy: 0.7508
• Accuracy Unlabeled: nan
• Accuracy Flat-road: 0.8145
• Accuracy Flat-sidewalk: 0.9504
• Accuracy Flat-crosswalk: 0.0
• Accuracy Flat-cyclinglane: 0.5828
• Accuracy Flat-parkingdriveway: 0.0118
• Accuracy Flat-railtrack: nan
• Accuracy Flat-curb: 0.0001
• Accuracy Human-person: 0.0
• Accuracy Human-rider: 0.0
• Accuracy Vehicle-car: 0.8895
• Accuracy Vehicle-truck: 0.0
• Accuracy Vehicle-bus: 0.0
• Accuracy Vehicle-tramtrain: 0.0
• Accuracy Vehicle-motorcycle: 0.0
• Accuracy Vehicle-bicycle: 0.0
• Accuracy Vehicle-caravan: 0.0
• Accuracy Vehicle-cartrailer: 0.0
• Accuracy Construction-building: 0.8937
• Accuracy Construction-door: 0.0
• Accuracy Construction-wall: 0.0389
• Accuracy Construction-fenceguardrail: 0.0
• Accuracy Construction-bridge: 0.0
• Accuracy Construction-tunnel: nan
• Accuracy Construction-stairs: 0.0
• Accuracy Object-pole: 0.0
• Accuracy Object-trafficsign: 0.0
• Accuracy Object-trafficlight: 0.0
• Accuracy Nature-vegetation: 0.9244
• Accuracy Nature-terrain: 0.8287
• Accuracy Sky: 0.9224
• Accuracy Void-ground: 0.0
• Accuracy Void-dynamic: 0.0
• Accuracy Void-static: 0.0
• Accuracy Void-unclear: 0.0
• Iou Unlabeled: nan
• Iou Flat-road: 0.5381
• Iou Flat-sidewalk: 0.7939
• Iou Flat-crosswalk: 0.0
• Iou Flat-cyclinglane: 0.5124
• Iou Flat-parkingdriveway: 0.0117
• Iou Flat-railtrack: nan
• Iou Flat-curb: 0.0001
• Iou Human-person: 0.0
• Iou Human-rider: 0.0
• Iou Vehicle-car: 0.6117
• Iou Vehicle-truck: 0.0
• Iou Vehicle-bus: 0.0
• Iou Vehicle-tramtrain: 0.0
• Iou Vehicle-motorcycle: 0.0
• Iou Vehicle-bicycle: 0.0
• Iou Vehicle-caravan: 0.0
• Iou Vehicle-cartrailer: 0.0
• Iou Construction-building: 0.5570
• Iou Construction-door: 0.0
• Iou Construction-wall: 0.0365
• Iou Construction-fenceguardrail: 0.0
• Iou Construction-bridge: 0.0
• Iou Construction-tunnel: nan
• Iou Construction-stairs: 0.0
• Iou Object-pole: 0.0
• Iou Object-trafficsign: 0.0
• Iou Object-trafficlight: 0.0
• Iou Nature-vegetation: 0.7504
• Iou Nature-terrain: 0.6347
• Iou Sky: 0.8566
• Iou Void-ground: 0.0
• Iou Void-dynamic: 0.0
• Iou Void-static: 0.0
• Iou Void-unclear: 0.0

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: 6e-05
• train_batch_size: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Flat-road	Accuracy Flat-sidewalk	Accuracy Flat-crosswalk	Accuracy Flat-cyclinglane	Accuracy Flat-parkingdriveway	Accuracy Flat-railtrack	Accuracy Flat-curb	Accuracy Human-person	Accuracy Human-rider	Accuracy Vehicle-car	Accuracy Vehicle-truck	Accuracy Vehicle-bus	Accuracy Vehicle-tramtrain	Accuracy Vehicle-motorcycle	Accuracy Vehicle-bicycle	Accuracy Vehicle-caravan	Accuracy Vehicle-cartrailer	Accuracy Construction-building	Accuracy Construction-door	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-bridge	Accuracy Construction-tunnel	Accuracy Construction-stairs	Accuracy Object-pole	Accuracy Object-trafficsign	Accuracy Object-trafficlight	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-ground	Accuracy Void-dynamic	Accuracy Void-static	Accuracy Void-unclear	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-crosswalk	Iou Flat-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-railtrack	Iou Flat-curb	Iou Human-person	Iou Human-rider	Iou Vehicle-car	Iou Vehicle-truck	Iou Vehicle-bus	Iou Vehicle-tramtrain	Iou Vehicle-motorcycle	Iou Vehicle-bicycle	Iou Vehicle-caravan	Iou Vehicle-cartrailer	Iou Construction-building	Iou Construction-door	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-bridge	Iou Construction-tunnel	Iou Construction-stairs	Iou Object-pole	Iou Object-trafficsign	Iou Object-trafficlight	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-ground	Iou Void-dynamic	Iou Void-static	Iou Void-unclear
2.6835	0.25	20	2.9300	0.0679	0.1189	0.5663	nan	0.0864	0.9582	0.0005	0.0171	0.0000	nan	0.0049	0.0042	0.0	0.8284	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7913	0.0	0.0535	0.0	0.0	nan	0.0029	0.0	0.0	0.0	0.9260	0.0016	0.1138	0.0168	0.0	0.0	0.0	0.0	0.0824	0.5815	0.0005	0.0168	0.0000	0.0	0.0045	0.0040	0.0	0.5349	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.4154	0.0	0.0414	0.0	0.0	0.0	0.0006	0.0	0.0	0.0	0.5765	0.0016	0.1137	0.0025	0.0	0.0	0.0
2.3707	0.5	40	2.1968	0.0875	0.1387	0.6231	nan	0.5613	0.9361	0.0	0.0210	0.0003	nan	0.0019	0.0	0.0	0.7965	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8356	0.0	0.0281	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9513	0.0032	0.3006	0.0011	0.0	0.0	0.0	nan	0.3878	0.6646	0.0	0.0208	0.0003	0.0	0.0019	0.0	0.0	0.5587	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.4439	0.0	0.0249	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5675	0.0032	0.3003	0.0009	0.0	0.0	0.0
2.0797	0.75	60	1.9742	0.1106	0.1579	0.6543	nan	0.7248	0.9240	0.0	0.0036	0.0008	nan	0.0000	0.0	0.0	0.8368	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8428	0.0	0.0254	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9498	0.0444	0.7003	0.0	0.0	0.0	0.0	nan	0.4154	0.7036	0.0	0.0036	0.0008	nan	0.0000	0.0	0.0	0.5498	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.4939	0.0	0.0240	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.6151	0.0426	0.6908	0.0	0.0	0.0	0.0
1.9067	1.0	80	1.7288	0.1234	0.1699	0.6749	nan	0.7502	0.9269	0.0	0.0766	0.0014	nan	0.0000	0.0	0.0	0.8214	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8719	0.0	0.0111	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9451	0.2194	0.8139	0.0	0.0	0.0	0.0	nan	0.4498	0.7152	0.0	0.0761	0.0013	nan	0.0000	0.0	0.0	0.5696	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5007	0.0	0.0108	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.6444	0.1954	0.7863	0.0	0.0	0.0	0.0
1.6673	1.25	100	1.6680	0.1258	0.1752	0.6789	nan	0.8230	0.9033	0.0	0.0493	0.0022	nan	0.0000	0.0	0.0	0.8676	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8389	0.0	0.0075	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9609	0.2915	0.8618	0.0	0.0	0.0	0.0	nan	0.4254	0.7481	0.0	0.0488	0.0022	nan	0.0000	0.0	0.0	0.5539	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5266	0.0	0.0074	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.6400	0.2581	0.8161	0.0	0.0	0.0	0.0
1.7134	1.5	120	1.5470	0.1376	0.1870	0.6997	nan	0.7864	0.9287	0.0	0.1234	0.0027	nan	0.0000	0.0	0.0	0.8766	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8540	0.0	0.0060	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9433	0.5618	0.9008	0.0	0.0	0.0	0.0	nan	0.4735	0.7320	0.0	0.1216	0.0027	nan	0.0000	0.0	0.0	0.5599	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5319	0.0	0.0059	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.6897	0.4601	0.8255	0.0	0.0	0.0	0.0
1.4384	1.75	140	1.4997	0.1458	0.1931	0.7143	nan	0.7973	0.9446	0.0	0.2050	0.0025	nan	0.0	0.0	0.0	0.8691	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8695	0.0	0.0025	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9304	0.6705	0.8889	0.0	0.0	0.0	0.0	nan	0.4842	0.7479	0.0	0.1960	0.0025	nan	0.0	0.0	0.0	0.5860	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5294	0.0	0.0025	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7244	0.5600	0.8314	0.0	0.0	0.0	0.0
1.4101	2.0	160	1.4325	0.1485	0.1990	0.7167	nan	0.8247	0.9212	0.0	0.2410	0.0032	nan	0.0	0.0	0.0	0.8787	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8896	0.0	0.0042	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9131	0.7902	0.9017	0.0	0.0	0.0	0.0	nan	0.4675	0.7648	0.0	0.2283	0.0032	nan	0.0	0.0	0.0	0.5777	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5259	0.0	0.0041	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7388	0.6051	0.8352	0.0	0.0	0.0	0.0
1.4613	2.25	180	1.3689	0.1522	0.2012	0.7248	nan	0.7783	0.9430	0.0	0.3362	0.0037	nan	0.0	0.0	0.0	0.8668	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8788	0.0	0.0033	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9201	0.7933	0.9142	0.0	0.0	0.0	0.0	nan	0.4951	0.7564	0.0	0.3089	0.0037	nan	0.0	0.0	0.0	0.5926	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5366	0.0	0.0033	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7330	0.6059	0.8348	0.0	0.0	0.0	0.0
1.1652	2.5	200	1.3458	0.1566	0.2036	0.7323	nan	0.7605	0.9551	0.0	0.4259	0.0038	nan	0.0	0.0	0.0	0.8580	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8902	0.0	0.0066	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9193	0.7943	0.9027	0.0	0.0	0.0	0.0	nan	0.5290	0.7548	0.0	0.3710	0.0038	nan	0.0	0.0	0.0	0.6064	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5270	0.0	0.0065	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7467	0.6256	0.8409	0.0	0.0	0.0	0.0
1.3201	2.75	220	1.2652	0.1572	0.2057	0.7353	nan	0.7825	0.9559	0.0	0.4231	0.0056	nan	0.0000	0.0	0.0	0.8904	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8834	0.0	0.0122	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9104	0.8184	0.9014	0.0	0.0	0.0	0.0	nan	0.5340	0.7600	0.0	0.3872	0.0056	nan	0.0000	0.0	0.0	0.5909	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5480	0.0	0.0120	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7383	0.6066	0.8463	0.0	0.0	0.0	0.0
1.2234	3.0	240	1.2746	0.1594	0.2088	0.7376	nan	0.8409	0.9292	0.0	0.4723	0.0054	nan	0.0	0.0	0.0	0.8857	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8767	0.0	0.0206	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9318	0.7948	0.9251	0.0	0.0	0.0	0.0	nan	0.4920	0.7916	0.0	0.4224	0.0053	nan	0.0	0.0	0.0	0.6083	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5504	0.0	0.0199	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7396	0.6269	0.8444	0.0	0.0	0.0	0.0
1.4557	3.25	260	1.2698	0.1584	0.2075	0.7313	nan	0.8659	0.9053	0.0	0.4557	0.0059	nan	0.0	0.0	0.0	0.8611	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8783	0.0	0.0141	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9394	0.7982	0.9172	0.0	0.0	0.0	0.0	nan	0.4660	0.7939	0.0	0.4017	0.0059	nan	0.0	0.0	0.0	0.6271	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5439	0.0	0.0137	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7346	0.6333	0.8478	0.0	0.0	0.0	0.0
1.2238	3.5	280	1.2213	0.1610	0.2090	0.7427	nan	0.8092	0.9490	0.0	0.4971	0.0087	nan	0.0	0.0	0.0	0.8902	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8860	0.0	0.0207	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9339	0.7840	0.9103	0.0	0.0	0.0	0.0	nan	0.5269	0.7830	0.0	0.4531	0.0086	nan	0.0	0.0	0.0	0.5897	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5528	0.0	0.0200	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7379	0.6292	0.8511	0.0	0.0	0.0	0.0
1.066	3.75	300	1.1935	0.1624	0.2109	0.7442	nan	0.8253	0.9479	0.0	0.5012	0.0083	nan	0.0	0.0	0.0	0.8755	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8923	0.0	0.0307	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9137	0.8313	0.9234	0.0	0.0	0.0	0.0	nan	0.5267	0.7849	0.0	0.4499	0.0082	nan	0.0	0.0	0.0	0.6217	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5554	0.0	0.0294	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7463	0.6202	0.8525	0.0	0.0	0.0	0.0
1.1549	4.0	320	1.1899	0.1632	0.2118	0.7464	nan	0.8334	0.9423	0.0	0.5290	0.0073	nan	0.0000	0.0	0.0	0.8857	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8956	0.0	0.0194	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9280	0.8115	0.9247	0.0	0.0	0.0	0.0	nan	0.5215	0.7940	0.0	0.4730	0.0073	nan	0.0000	0.0	0.0	0.6143	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5530	0.0	0.0188	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7488	0.6382	0.8541	0.0	0.0	0.0	0.0
1.0461	4.25	340	1.1746	0.1643	0.2127	0.7482	nan	0.8171	0.9549	0.0	0.5455	0.0078	nan	0.0	0.0	0.0	0.8974	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8812	0.0	0.0387	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9161	0.8302	0.9174	0.0	0.0	0.0	0.0	nan	0.5322	0.7872	0.0	0.4917	0.0077	nan	0.0	0.0	0.0	0.6076	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5651	0.0	0.0366	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7456	0.6282	0.8553	0.0	0.0	0.0	0.0
1.0398	4.5	360	1.1687	0.1652	0.2128	0.7494	nan	0.8254	0.9501	0.0	0.5507	0.0094	nan	0.0000	0.0	0.0	0.8755	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8972	0.0	0.0341	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9253	0.8186	0.9232	0.0	0.0	0.0	0.0	nan	0.5323	0.7930	0.0	0.4922	0.0093	nan	0.0000	0.0	0.0	0.6277	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5531	0.0	0.0323	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7518	0.6382	0.8553	0.0	0.0	0.0	0.0
1.0538	4.75	380	1.1675	0.1655	0.2135	0.7499	nan	0.8351	0.9458	0.0	0.5657	0.0087	nan	0.0000	0.0	0.0	0.8830	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8980	0.0	0.0322	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9244	0.8123	0.9262	0.0	0.0	0.0	0.0	nan	0.5260	0.7971	0.0	0.5002	0.0086	nan	0.0000	0.0	0.0	0.6214	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5537	0.0	0.0305	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7554	0.6472	0.8564	0.0	0.0	0.0	0.0
1.0232	5.0	400	1.1574	0.1657	0.2143	0.7508	nan	0.8145	0.9504	0.0	0.5828	0.0118	nan	0.0001	0.0	0.0	0.8895	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.8937	0.0	0.0389	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.9244	0.8287	0.9224	0.0	0.0	0.0	0.0	nan	0.5381	0.7939	0.0	0.5124	0.0117	nan	0.0001	0.0	0.0	0.6117	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5570	0.0	0.0365	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.7504	0.6347	0.8566	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1