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JCAI2000/
segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

Name: segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial
Availability: InStock

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segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

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: 0.5818
Mean Iou: 0.3011
Mean Accuracy: 0.3610
Overall Accuracy: 0.8444
Accuracy Unlabeled: nan
Accuracy Flat-road: 0.8364
Accuracy Flat-sidewalk: 0.9386
Accuracy Flat-crosswalk: 0.7005
Accuracy Flat-cyclinglane: 0.7745
Accuracy Flat-parkingdriveway: 0.4695
Accuracy Flat-railtrack: 0.0
Accuracy Flat-curb: 0.5463
Accuracy Human-person: 0.6230
Accuracy Human-rider: 0.0
Accuracy Vehicle-car: 0.9128
Accuracy Vehicle-truck: 0.0
Accuracy Vehicle-bus: nan
Accuracy Vehicle-tramtrain: 0.0
Accuracy Vehicle-motorcycle: 0.0
Accuracy Vehicle-bicycle: 0.4478
Accuracy Vehicle-caravan: 0.0
Accuracy Vehicle-cartrailer: 0.0
Accuracy Construction-building: 0.8809
Accuracy Construction-door: 0.0
Accuracy Construction-wall: 0.5418
Accuracy Construction-fenceguardrail: 0.5574
Accuracy Construction-bridge: 0.0
Accuracy Construction-tunnel: nan
Accuracy Construction-stairs: 0.0
Accuracy Object-pole: 0.3278
Accuracy Object-trafficsign: 0.0
Accuracy Object-trafficlight: 0.0
Accuracy Nature-vegetation: 0.9459
Accuracy Nature-terrain: 0.8600
Accuracy Sky: 0.9662
Accuracy Void-ground: 0.0
Accuracy Void-dynamic: 0.0
Accuracy Void-static: 0.2230
Accuracy Void-unclear: 0.0
Iou Unlabeled: nan
Iou Flat-road: 0.7395
Iou Flat-sidewalk: 0.8314
Iou Flat-crosswalk: 0.6251
Iou Flat-cyclinglane: 0.7160
Iou Flat-parkingdriveway: 0.3216
Iou Flat-railtrack: 0.0
Iou Flat-curb: 0.4206
Iou Human-person: 0.3351
Iou Human-rider: 0.0
Iou Vehicle-car: 0.7711
Iou Vehicle-truck: 0.0
Iou Vehicle-bus: nan
Iou Vehicle-tramtrain: 0.0
Iou Vehicle-motorcycle: 0.0
Iou Vehicle-bicycle: 0.3854
Iou Vehicle-caravan: 0.0
Iou Vehicle-cartrailer: 0.0
Iou Construction-building: 0.6893
Iou Construction-door: 0.0
Iou Construction-wall: 0.4039
Iou Construction-fenceguardrail: 0.4696
Iou Construction-bridge: 0.0
Iou Construction-tunnel: nan
Iou Construction-stairs: 0.0
Iou Object-pole: 0.2496
Iou Object-trafficsign: 0.0
Iou Object-trafficlight: 0.0
Iou Nature-vegetation: 0.8583
Iou Nature-terrain: 0.7294
Iou Sky: 0.9135
Iou Void-ground: 0.0
Iou Void-dynamic: 0.0
Iou Void-static: 0.1745
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

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-curb	Accuracy Human-person	Accuracy Vehicle-car	Accuracy Vehicle-bus	Accuracy Vehicle-bicycle	Accuracy Construction-building	Accuracy Construction-wall	Accuracy Construction-fenceguardrail	Accuracy Construction-tunnel	Accuracy Object-pole	Accuracy Nature-vegetation	Accuracy Nature-terrain	Accuracy Sky	Accuracy Void-ground	Accuracy Void-static	Iou Unlabeled	Iou Flat-road	Iou Flat-sidewalk	Iou Flat-crosswalk	Iou Flat-cyclinglane	Iou Flat-parkingdriveway	Iou Flat-curb	Iou Human-person	Iou Vehicle-car	Iou Vehicle-bus	Iou Vehicle-bicycle	Iou Construction-building	Iou Construction-wall	Iou Construction-fenceguardrail	Iou Construction-tunnel	Iou Object-pole	Iou Nature-vegetation	Iou Nature-terrain	Iou Sky	Iou Void-ground	Iou Void-static
2.488	0.12	50	2.3203	0.1076	0.1555	0.6454	nan	0.5629	0.8917	0.0	0.1457	0.0025	0.0001	0.0004	0.7999	nan	0.0	0.7386	0.0013	0.0002	nan	0.0	0.9632	0.0660	0.8030	0.0001	0.0003	nan	0.3879	0.6486	0.0	0.1312	0.0025	0.0001	0.0004	0.5250	nan	0.0	0.4739	0.0013	0.0002	0.0	0.0	0.6159	0.0553	0.7082	0.0001	0.0003
1.6299	0.25	100	1.7345	0.1218	0.1659	0.6685	nan	0.5674	0.9286	0.0	0.0107	0.0004	0.0	0.0	0.8298	nan	0.0	0.8395	0.0002	0.0	nan	0.0	0.9407	0.3829	0.8087	0.0	0.0000	nan	0.4093	0.6497	0.0	0.0107	0.0004	0.0	0.0	0.5763	nan	0.0	0.4921	0.0002	0.0	nan	0.0	0.7001	0.3104	0.7495	0.0	0.0000
1.4309	0.38	150	1.5198	0.1271	0.1734	0.6897	nan	0.7282	0.9071	0.0	0.0079	0.0002	0.0	0.0	0.8531	nan	0.0	0.8527	0.0	0.0	nan	0.0	0.9456	0.3840	0.8690	0.0	0.0	nan	0.4687	0.7008	0.0	0.0079	0.0002	0.0	0.0	0.5573	nan	0.0	0.5187	0.0	0.0	nan	0.0	0.7035	0.3237	0.7861	0.0	0.0
1.2814	0.5	200	1.3563	0.1450	0.1908	0.7158	nan	0.6789	0.9448	0.0	0.2102	0.0002	0.0	0.0	0.8591	nan	0.0	0.8588	0.0	0.0	nan	0.0	0.9132	0.7877	0.8520	0.0	0.0	nan	0.4965	0.6981	0.0	0.2093	0.0002	0.0	0.0	0.6055	nan	0.0	0.5147	0.0	0.0	nan	0.0	0.7683	0.5627	0.7841	0.0	0.0
1.6945	0.62	250	1.2967	0.1469	0.1971	0.7191	nan	0.7823	0.8949	0.0	0.2470	0.0006	0.0	0.0	0.9344	nan	0.0	0.8313	0.0000	0.0	nan	0.0	0.9041	0.8094	0.9029	0.0	0.0000	nan	0.4942	0.7283	0.0	0.2448	0.0006	0.0	0.0	0.5256	nan	0.0	0.5211	0.0000	0.0	nan	0.0	0.7719	0.6074	0.8072	0.0	0.0000
1.5522	0.75	300	1.1943	0.1523	0.1953	0.7277	nan	0.7414	0.9365	0.0	0.2922	0.0116	0.0001	0.0	0.8427	nan	0.0	0.9099	0.0	0.0	nan	0.0	0.9003	0.7090	0.9066	0.0	0.0	nan	0.5376	0.7180	0.0	0.2825	0.0114	0.0001	0.0	0.6281	nan	0.0	0.4879	0.0	0.0	nan	0.0	0.7785	0.6144	0.8143	0.0	0.0
1.7093	0.88	350	1.1594	0.1561	0.2008	0.7326	nan	0.6502	0.9568	0.0	0.3765	0.0155	0.0	0.0	0.8670	nan	0.0	0.8770	0.0	0.0	nan	0.0	0.9201	0.8412	0.9199	0.0	0.0	nan	0.5117	0.7083	0.0	0.3374	0.0152	0.0	0.0	0.6334	nan	0.0	0.5252	0.0	0.0	nan	0.0	0.7934	0.6433	0.8275	0.0	0.0
1.1445	1.0	400	1.1201	0.1552	0.2009	0.7320	nan	0.7249	0.9356	0.0	0.3739	0.0354	0.0	0.0	0.7810	nan	0.0	0.9016	0.0008	0.0	nan	0.0	0.8938	0.8789	0.9039	0.0	0.0	nan	0.5260	0.7265	0.0	0.3324	0.0341	0.0	0.0	0.6367	nan	0.0	0.5198	0.0008	0.0	nan	0.0	0.7766	0.5818	0.8319	0.0	0.0
1.5762	1.12	450	1.0649	0.1578	0.2040	0.7385	nan	0.7259	0.9512	0.0	0.3550	0.0466	0.0001	0.0	0.8674	nan	0.0	0.8840	0.0099	0.0	nan	0.0	0.8861	0.8572	0.9454	0.0	0.0003	nan	0.5448	0.7259	0.0	0.3299	0.0441	0.0001	0.0	0.6460	nan	0.0	0.5402	0.0098	0.0	nan	0.0	0.7752	0.5983	0.8354	0.0	0.0003
1.1724	1.25	500	1.0340	0.1636	0.2095	0.7431	nan	0.7165	0.9284	0.0	0.5125	0.0790	0.0277	0.0	0.8230	nan	0.0	0.9039	0.0086	0.0	nan	0.0	0.9127	0.8649	0.9269	0.0	0.0003	nan	0.5347	0.7461	0.0	0.3799	0.0718	0.0264	0.0	0.6598	nan	0.0	0.5231	0.0085	0.0	nan	0.0	0.8016	0.6426	0.8395	0.0	0.0003
1.7008	1.38	550	0.9811	0.1662	0.2101	0.7502	nan	0.8048	0.9259	0.0	0.3869	0.1217	0.0361	0.0	0.8697	nan	0.0	0.8510	0.0281	0.0	nan	0.0	0.9411	0.8227	0.9355	0.0	0.0006	nan	0.5594	0.7493	0.0	0.3700	0.0972	0.0346	0.0	0.6461	nan	0.0	0.5481	0.0272	0.0	nan	0.0	0.7903	0.6704	0.8245	0.0	0.0006
0.5924	1.5	600	0.9687	0.1691	0.2121	0.7520	nan	0.7776	0.9355	0.0	0.4147	0.1552	0.0571	0.0	0.8155	nan	0.0	0.9139	0.0114	0.0	nan	0.0	0.9159	0.8587	0.9297	0.0	0.0010	nan	0.5641	0.7466	0.0	0.3827	0.1214	0.0526	0.0	0.6719	nan	0.0	0.5389	0.0112	0.0	nan	0.0	0.8124	0.6586	0.8511	0.0	0.0010
1.9075	1.62	650	0.9413	0.1721	0.2149	0.7567	nan	0.7972	0.9268	0.0	0.4365	0.1483	0.1357	0.0	0.8640	nan	0.0	0.8842	0.0222	0.0	nan	0.0002	0.9492	0.7697	0.9410	0.0	0.0021	nan	0.5851	0.7521	0.0	0.3986	0.1187	0.1185	0.0	0.6666	nan	0.0	0.5508	0.0215	0.0	nan	0.0002	0.7905	0.6580	0.8459	0.0	0.0021
1.1035	1.75	700	0.9646	0.1720	0.2138	0.7547	nan	0.7370	0.9564	0.0	0.4065	0.1380	0.1129	0.0	0.8711	nan	0.0	0.8830	0.0262	0.0	nan	0.0077	0.9277	0.8131	0.9589	0.0	0.0024	nan	0.5860	0.7301	0.0	0.3914	0.1090	0.1019	0.0	0.6809	nan	0.0	0.5383	0.0256	0.0	nan	0.0076	0.8127	0.6754	0.8428	0.0	0.0024
0.6372	1.88	750	0.8958	0.1813	0.2262	0.7636	nan	0.7484	0.9387	0.0	0.4605	0.2077	0.2876	0.0	0.9013	nan	0.0	0.9166	0.0551	0.0	nan	0.0033	0.9241	0.8566	0.9364	0.0	0.0030	nan	0.5909	0.7555	0.0	0.4116	0.1516	0.2190	0.0	0.6771	nan	0.0	0.5549	0.0523	0.0	nan	0.0033	0.8228	0.6811	0.8775	0.0	0.0029
0.5682	2.0	800	0.8480	0.1900	0.2386	0.7738	nan	0.7474	0.9230	0.0	0.6150	0.3295	0.3338	0.0	0.9118	nan	0.0	0.9131	0.1108	0.0	nan	0.0085	0.9308	0.8564	0.9532	0.0	0.0020	nan	0.6101	0.7761	0.0	0.5059	0.2038	0.2501	0.0	0.6655	nan	0.0	0.5699	0.0966	0.0	nan	0.0085	0.8209	0.6909	0.8803	0.0	0.0020
0.725	2.12	850	0.8578	0.1879	0.2359	0.7747	nan	0.7804	0.9279	0.0	0.5716	0.2711	0.2857	0.0	0.9158	nan	0.0	0.8883	0.1206	0.0	nan	0.0090	0.9294	0.8843	0.9572	0.0	0.0087	nan	0.6250	0.7717	0.0	0.5054	0.1887	0.2134	0.0	0.6573	nan	0.0	0.5817	0.1049	0.0	nan	0.0090	0.8161	0.6510	0.8790	0.0	0.0085
0.51	2.25	900	0.8616	0.1941	0.2441	0.7678	nan	0.6722	0.9332	0.0	0.5630	0.4052	0.3876	0.0	0.8768	nan	0.0	0.8580	0.3540	0.0	nan	0.0175	0.9522	0.8271	0.9557	0.0	0.0083	nan	0.5804	0.7650	0.0	0.4572	0.1984	0.2696	0.0	0.6993	nan	0.0	0.5980	0.2558	0.0	nan	0.0173	0.8087	0.6755	0.8764	0.0	0.0080
0.9404	2.38	950	0.8303	0.1965	0.2458	0.7781	nan	0.7834	0.9231	0.0	0.5345	0.3098	0.3520	0.0	0.9111	nan	0.0	0.8712	0.3564	0.0	nan	0.0286	0.9357	0.8818	0.9543	0.0	0.0227	nan	0.6167	0.7711	0.0	0.4738	0.2072	0.2605	0.0	0.6721	nan	0.0	0.6204	0.2520	0.0	nan	0.0281	0.8179	0.6627	0.8842	0.0	0.0213
0.4844	2.5	1000	0.8113	0.1952	0.2431	0.7762	nan	0.7824	0.9354	0.0	0.4556	0.3144	0.3925	0.0	0.9023	nan	0.0	0.8776	0.3066	0.0	nan	0.0409	0.9265	0.8766	0.9575	0.0	0.0111	nan	0.6253	0.7656	0.0	0.4358	0.2015	0.2825	0.0	0.6866	nan	0.0	0.5965	0.2222	0.0	nan	0.0405	0.8217	0.6857	0.8731	0.0	0.0107
0.5377	2.62	1050	0.8262	0.1955	0.2429	0.7755	nan	0.7408	0.9399	0.0	0.4855	0.3249	0.4112	0.0013	0.9104	nan	0.0	0.8662	0.3181	0.0	nan	0.0144	0.9553	0.8099	0.9541	0.0	0.0409	nan	0.6230	0.7603	0.0	0.4479	0.2190	0.2781	0.0013	0.6791	nan	0.0	0.6198	0.2235	0.0	nan	0.0143	0.8064	0.6616	0.8858	0.0	0.0363
0.5133	2.75	1100	0.8080	0.1985	0.2479	0.7775	nan	0.7620	0.9341	0.0	0.5057	0.3786	0.3555	0.0025	0.9024	nan	0.0002	0.8409	0.4094	0.0	nan	0.0365	0.9372	0.8735	0.9667	0.0	0.0286	nan	0.6150	0.7703	0.0	0.4541	0.2155	0.2686	0.0025	0.6940	nan	0.0002	0.6231	0.2665	0.0	nan	0.0358	0.8177	0.6785	0.8857	0.0	0.0258
0.9712	2.88	1150	0.8097	0.1928	0.2371	0.7741	nan	0.8580	0.9160	0.0	0.4079	0.2468	0.2023	0.0377	0.9173	nan	0.0001	0.8780	0.2836	0.0000	nan	0.0766	0.9411	0.8324	0.9629	0.0	0.0272	nan	0.5977	0.7718	0.0	0.3912	0.1778	0.1669	0.0371	0.6803	nan	0.0001	0.6186	0.2094	0.0000	nan	0.0748	0.8252	0.7069	0.8861	0.0	0.0254
0.5065	3.0	1200	0.7834	0.2004	0.2494	0.7787	nan	0.8491	0.8819	0.0	0.5845	0.3527	0.3553	0.0501	0.9198	nan	0.0014	0.8944	0.2436	0.0001	nan	0.0703	0.9449	0.8381	0.9622	0.0	0.0309	nan	0.6049	0.7791	0.0	0.5258	0.2196	0.2507	0.0488	0.6789	nan	0.0014	0.6144	0.1886	0.0001	nan	0.0683	0.8257	0.7028	0.8773	0.0	0.0278
1.7304	3.12	1250	0.7721	0.2066	0.2535	0.7869	nan	0.7783	0.9325	0.0	0.5908	0.3273	0.3851	0.0578	0.9025	nan	0.0002	0.8995	0.3196	0.0018	nan	0.0869	0.9345	0.8763	0.9682	0.0	0.0501	nan	0.6235	0.7751	0.0	0.5379	0.2078	0.2945	0.0566	0.7051	nan	0.0002	0.6258	0.2442	0.0018	nan	0.0844	0.8338	0.7019	0.8736	0.0	0.0437
0.66	3.25	1300	0.7819	0.2112	0.2587	0.7855	nan	0.7894	0.9367	0.0000	0.5252	0.3014	0.3633	0.1003	0.9086	nan	0.0109	0.8964	0.4998	0.0015	nan	0.1663	0.9162	0.8732	0.9374	0.0	0.0512	nan	0.6323	0.7652	0.0000	0.4811	0.1876	0.2850	0.0919	0.7142	nan	0.0109	0.6492	0.3148	0.0015	nan	0.1523	0.8382	0.6970	0.8927	0.0	0.0448
0.5002	3.38	1350	0.8003	0.2076	0.2558	0.7818	nan	0.7802	0.9357	0.0	0.4772	0.2416	0.4454	0.1361	0.9488	nan	0.0395	0.8563	0.3519	0.0025	nan	0.1423	0.9454	0.8564	0.9638	0.0	0.0626	nan	0.6277	0.7656	0.0	0.4501	0.1628	0.3162	0.1202	0.6544	nan	0.0389	0.6397	0.2495	0.0025	nan	0.1350	0.8330	0.7017	0.8916	0.0	0.0540
1.7687	3.5	1400	0.7399	0.2183	0.2679	0.7923	nan	0.8339	0.9184	0.0016	0.5828	0.2395	0.4439	0.2259	0.9229	nan	0.0371	0.8792	0.4739	0.0005	nan	0.1879	0.9344	0.8787	0.9571	0.0	0.0551	nan	0.6405	0.7799	0.0016	0.5199	0.1753	0.3078	0.1909	0.7149	nan	0.0367	0.6442	0.3149	0.0005	nan	0.1680	0.8413	0.7054	0.8945	0.0	0.0493
0.5413	3.62	1450	0.7299	0.2217	0.2713	0.7940	nan	0.8010	0.9389	0.0110	0.5446	0.3857	0.4218	0.2719	0.8834	nan	0.0176	0.8653	0.5323	0.0011	nan	0.1796	0.9424	0.8469	0.9612	0.0	0.0766	nan	0.6441	0.7806	0.0110	0.5222	0.2475	0.3136	0.2070	0.7395	nan	0.0175	0.6481	0.3265	0.0011	nan	0.1629	0.8348	0.6880	0.8869	0.0	0.0627
1.2082	3.75	1500	0.6959	0.2248	0.2729	0.7982	nan	0.8119	0.9199	0.0999	0.6762	0.4158	0.3494	0.2189	0.8810	nan	0.0351	0.9162	0.4066	0.0013	nan	0.2105	0.9437	0.8118	0.9608	0.0	0.0740	nan	0.6593	0.7930	0.0999	0.5882	0.2617	0.2944	0.1709	0.7215	nan	0.0349	0.6180	0.2757	0.0013	nan	0.1849	0.8332	0.6978	0.8980	0.0	0.0603
0.4615	3.88	1550	0.7529	0.2224	0.2737	0.7893	nan	0.7573	0.9446	0.0228	0.5131	0.3968	0.3926	0.3763	0.8950	nan	0.0468	0.8758	0.4520	0.0006	nan	0.1823	0.9391	0.8892	0.9592	0.0	0.1149	nan	0.6296	0.7708	0.0228	0.4801	0.2393	0.2962	0.2472	0.7382	nan	0.0464	0.6456	0.2974	0.0006	nan	0.1669	0.8403	0.7010	0.9013	0.0	0.0922
2.1925	4.0	1600	0.7518	0.2245	0.2783	0.7905	nan	0.6996	0.9509	0.0877	0.6004	0.3108	0.4915	0.4171	0.9078	nan	0.0642	0.8704	0.4508	0.0048	nan	0.1670	0.9501	0.8806	0.9638	0.0	0.0885	nan	0.6114	0.7724	0.0877	0.5295	0.2241	0.3105	0.2501	0.7289	nan	0.0634	0.6496	0.2917	0.0047	nan	0.1524	0.8370	0.7004	0.8949	0.0	0.0747
0.8398	4.12	1650	0.7374	0.2325	0.2856	0.7960	nan	0.7649	0.9445	0.0382	0.5803	0.4033	0.4096	0.4098	0.9223	nan	0.0928	0.8409	0.4956	0.0605	nan	0.2303	0.9465	0.8428	0.9687	0.0	0.1883	nan	0.6447	0.7801	0.0382	0.5260	0.2328	0.3170	0.2554	0.7296	nan	0.0916	0.6593	0.3201	0.0596	nan	0.1986	0.8423	0.7166	0.8943	0.0	0.1326
0.6942	4.25	1700	0.7359	0.2283	0.2831	0.7935	nan	0.7659	0.9438	0.0883	0.5150	0.3600	0.4102	0.4644	0.9176	nan	0.0778	0.8748	0.4698	0.0312	nan	0.2085	0.9358	0.9040	0.9597	0.0	0.1319	nan	0.6459	0.7740	0.0882	0.4742	0.2239	0.3101	0.2523	0.7376	nan	0.0768	0.6628	0.3118	0.0309	nan	0.1826	0.8401	0.6910	0.8990	0.0	0.1043
0.4449	4.38	1750	0.7015	0.2391	0.2890	0.8038	nan	0.7983	0.9354	0.1658	0.5990	0.3891	0.4565	0.3812	0.8791	nan	0.1167	0.9121	0.3766	0.1337	nan	0.2224	0.9440	0.8811	0.9606	0.0	0.0969	nan	0.6789	0.7810	0.1654	0.5370	0.2592	0.3467	0.2309	0.7455	nan	0.1150	0.6470	0.2824	0.1306	nan	0.1949	0.8393	0.7158	0.9010	0.0	0.0793
0.3577	4.5	1800	0.7060	0.2380	0.2900	0.8042	nan	0.8066	0.9443	0.1282	0.5640	0.3782	0.4202	0.4983	0.9135	nan	0.1158	0.8955	0.4212	0.1594	nan	0.1916	0.9433	0.8580	0.9553	0.0	0.0871	nan	0.6721	0.7847	0.1280	0.5383	0.2420	0.3305	0.2508	0.7383	nan	0.1131	0.6585	0.2968	0.1542	nan	0.1737	0.8444	0.7157	0.9020	0.0	0.0739
0.4443	4.62	1850	0.6722	0.2509	0.3035	0.8143	nan	0.8160	0.9397	0.3917	0.6472	0.3310	0.4674	0.4023	0.9087	nan	0.1512	0.8799	0.4608	0.1119	nan	0.2761	0.9351	0.9025	0.9701	0.0	0.1213	nan	0.6963	0.8011	0.3870	0.5855	0.2383	0.3398	0.2508	0.7382	nan	0.1479	0.6587	0.3103	0.1097	nan	0.2211	0.8499	0.7010	0.8999	0.0	0.0938
1.0	4.75	1900	0.6912	0.2484	0.3023	0.8114	nan	0.7584	0.9451	0.3347	0.6729	0.3085	0.5324	0.5104	0.8877	nan	0.1254	0.9136	0.4858	0.1048	nan	0.2013	0.9525	0.8531	0.9638	0.0	0.1224	nan	0.6755	0.7882	0.3247	0.6017	0.2234	0.3783	0.2464	0.7472	nan	0.1230	0.6713	0.3498	0.1035	nan	0.1774	0.8385	0.6933	0.9049	0.0	0.1010
0.8306	4.88	1950	0.6655	0.2546	0.3060	0.8163	nan	0.8323	0.9347	0.4204	0.6135	0.3336	0.4604	0.4942	0.9134	nan	0.1336	0.9069	0.4913	0.1178	nan	0.2380	0.9446	0.8621	0.9584	0.0	0.1373	nan	0.6862	0.7964	0.4167	0.5900	0.2364	0.3536	0.2819	0.7324	nan	0.1299	0.6780	0.3565	0.1162	nan	0.1977	0.8435	0.7134	0.9057	0.0	0.1143
0.5413	5.0	2000	0.6798	0.2549	0.3053	0.8161	nan	0.8131	0.9486	0.3975	0.6113	0.3320	0.4642	0.4823	0.8911	nan	0.1604	0.9040	0.5306	0.1225	nan	0.2572	0.9378	0.8772	0.9580	0.0	0.0807	nan	0.6921	0.7895	0.3820	0.5914	0.2289	0.3709	0.2736	0.7475	nan	0.1553	0.6739	0.3688	0.1197	nan	0.2122	0.8485	0.7278	0.9050	0.0	0.0700
0.5256	5.12	2050	0.6704	0.2561	0.3118	0.8139	nan	0.7844	0.9341	0.3012	0.6551	0.4701	0.4866	0.5064	0.9148	nan	0.1733	0.9118	0.5235	0.1756	nan	0.2735	0.9372	0.8601	0.9652	0.0	0.1035	nan	0.6849	0.7987	0.2964	0.5979	0.2575	0.3739	0.2968	0.7392	nan	0.1670	0.6695	0.3530	0.1687	nan	0.2251	0.8533	0.7200	0.9032	0.0	0.0889
1.5354	5.25	2100	0.6749	0.2574	0.3114	0.8129	nan	0.7795	0.9479	0.2673	0.6263	0.3309	0.4880	0.5526	0.9229	nan	0.1946	0.9058	0.4747	0.2891	nan	0.2789	0.9296	0.8926	0.9724	0.0	0.1123	nan	0.6664	0.7862	0.2666	0.5673	0.2425	0.3705	0.2926	0.7436	nan	0.1875	0.6739	0.3639	0.2774	nan	0.2256	0.8535	0.7312	0.8955	0.0	0.0935
0.9066	5.38	2150	0.6420	0.2692	0.3288	0.8231	nan	0.8027	0.9289	0.5349	0.6724	0.4873	0.5372	0.5813	0.9129	nan	0.1965	0.8827	0.4897	0.2717	nan	0.2897	0.9517	0.8653	0.9718	0.0	0.1459	nan	0.7041	0.8076	0.5014	0.6246	0.3067	0.3802	0.2714	0.7480	nan	0.1893	0.6796	0.3739	0.2635	nan	0.2207	0.8412	0.6891	0.8949	0.0	0.1171
0.5222	5.5	2200	0.6669	0.2669	0.3248	0.8163	nan	0.7671	0.9418	0.3374	0.6925	0.4213	0.5016	0.5665	0.9186	nan	0.2600	0.8706	0.5646	0.3602	nan	0.2850	0.9355	0.8649	0.9657	0.0	0.1400	nan	0.6713	0.7977	0.3192	0.6194	0.2542	0.3945	0.2906	0.7521	nan	0.2461	0.6642	0.3736	0.3327	nan	0.2250	0.8543	0.7271	0.9034	0.0	0.1157
0.7196	5.62	2250	0.6619	0.2715	0.3274	0.8231	nan	0.8077	0.9509	0.4463	0.6637	0.3284	0.5066	0.5578	0.9055	nan	0.2320	0.8483	0.5559	0.2812	nan	0.3302	0.9439	0.8596	0.9613	0.0	0.2981	nan	0.7066	0.7987	0.4347	0.6179	0.2538	0.3744	0.2811	0.7641	nan	0.2227	0.6750	0.3648	0.2705	nan	0.2409	0.8479	0.7241	0.9075	0.0	0.2042
0.4246	5.75	2300	0.6761	0.2599	0.3149	0.8137	nan	0.7550	0.9532	0.3430	0.6596	0.3628	0.4682	0.4827	0.9109	nan	0.2185	0.8738	0.5448	0.2315	nan	0.3239	0.9358	0.8866	0.9666	0.0	0.1596	nan	0.6763	0.7903	0.3378	0.6097	0.2436	0.3451	0.2708	0.7474	nan	0.2118	0.6605	0.3625	0.2241	nan	0.2374	0.8534	0.7154	0.9062	0.0	0.1249
0.5324	5.88	2350	0.6352	0.2711	0.3279	0.8266	nan	0.8153	0.9320	0.4755	0.7299	0.5061	0.5260	0.5623	0.9085	nan	0.2232	0.8919	0.4953	0.2723	nan	0.2771	0.9456	0.8615	0.9550	0.0	0.1150	nan	0.7132	0.8098	0.4590	0.6675	0.3239	0.3802	0.2740	0.7602	nan	0.2151	0.6651	0.3498	0.2602	nan	0.2236	0.8521	0.7209	0.9063	0.0	0.0948
0.4106	6.0	2400	0.6168	0.2805	0.3382	0.8286	nan	0.8140	0.9366	0.5348	0.7391	0.4551	0.4434	0.5715	0.9105	nan	0.3385	0.8631	0.5545	0.4411	nan	0.2978	0.9408	0.8805	0.9625	0.0	0.1385	nan	0.7068	0.8102	0.5070	0.6757	0.2917	0.3503	0.2908	0.7596	nan	0.3190	0.6776	0.3889	0.3781	nan	0.2281	0.8501	0.7196	0.9076	0.0	0.1149
0.5797	6.12	2450	0.6297	0.2816	0.3393	0.8296	nan	0.7974	0.9383	0.4647	0.7903	0.4007	0.5064	0.5728	0.9213	nan	0.3479	0.8703	0.5732	0.4362	nan	0.3033	0.9375	0.8832	0.9683	0.0	0.1466	nan	0.6881	0.8134	0.4564	0.6750	0.3033	0.3764	0.3047	0.7563	nan	0.3199	0.6791	0.4054	0.3939	nan	0.2370	0.8557	0.7179	0.9056	0.0	0.1222
0.3407	6.25	2500	0.6193	0.2818	0.3399	0.8306	nan	0.7883	0.9404	0.5966	0.7679	0.4412	0.4553	0.5684	0.9199	nan	0.2922	0.8774	0.5497	0.4408	nan	0.2956	0.9447	0.8645	0.9658	0.0	0.1667	nan	0.7001	0.8173	0.5101	0.6671	0.3084	0.3634	0.3133	0.7495	nan	0.2726	0.6788	0.4024	0.4009	nan	0.2325	0.8498	0.7106	0.9076	0.0	0.1343
0.4585	6.38	2550	0.6187	0.2836	0.3416	0.8315	nan	0.8295	0.9356	0.6898	0.6526	0.4324	0.5160	0.5700	0.9143	nan	0.3278	0.8751	0.5383	0.4159	nan	0.2798	0.9539	0.8512	0.9627	0.0	0.1863	nan	0.7158	0.8176	0.5366	0.6200	0.3121	0.3932	0.3097	0.7531	nan	0.3010	0.6800	0.4010	0.3900	nan	0.2275	0.8458	0.7183	0.9100	0.0	0.1447
0.6642	6.5	2600	0.6327	0.2802	0.3352	0.8295	nan	0.7982	0.9375	0.5459	0.7388	0.4326	0.5516	0.5326	0.9274	nan	0.2682	0.8894	0.5355	0.3860	nan	0.2825	0.9413	0.8768	0.9586	0.0	0.1224	nan	0.7054	0.8105	0.5189	0.6692	0.2936	0.3925	0.3331	0.7412	nan	0.2434	0.6716	0.3941	0.3668	nan	0.2289	0.8546	0.7260	0.9097	0.0	0.1057
0.3263	6.62	2650	0.6187	0.2829	0.3430	0.8300	nan	0.7874	0.9330	0.5562	0.7970	0.4492	0.5546	0.5622	0.9371	nan	0.3517	0.8711	0.5865	0.3811	nan	0.2937	0.9318	0.8735	0.9725	0.0	0.1375	nan	0.6953	0.8209	0.5405	0.6682	0.2987	0.4080	0.3427	0.7412	nan	0.3012	0.6758	0.3928	0.3508	nan	0.2326	0.8543	0.7108	0.9033	0.0	0.1166
0.2918	6.75	2700	0.6222	0.2872	0.3498	0.8277	nan	0.7842	0.9381	0.6136	0.7238	0.4618	0.5182	0.5812	0.9045	nan	0.4309	0.8353	0.5853	0.4976	nan	0.3383	0.9423	0.8831	0.9709	0.0	0.1847	nan	0.6937	0.8114	0.5527	0.6574	0.3008	0.3913	0.3018	0.7703	nan	0.3806	0.6696	0.3834	0.4173	nan	0.2506	0.8509	0.7104	0.9029	0.0	0.1467
0.8647	6.88	2750	0.6397	0.2835	0.3383	0.8277	nan	0.7927	0.9560	0.5292	0.6732	0.3404	0.4745	0.5981	0.9258	nan	0.3488	0.8603	0.5484	0.5227	nan	0.3289	0.9511	0.8297	0.9629	0.0	0.1840	nan	0.6999	0.7965	0.5125	0.6472	0.2531	0.3711	0.3133	0.7565	nan	0.3100	0.6869	0.3958	0.4342	nan	0.2517	0.8506	0.7355	0.9087	0.0	0.1471
0.7004	7.0	2800	0.6274	0.2874	0.3482	0.8305	nan	0.7888	0.9403	0.5878	0.7560	0.4348	0.5041	0.5891	0.9200	nan	0.3797	0.8462	0.5907	0.4789	nan	0.3490	0.9451	0.8642	0.9649	0.0	0.2023	nan	0.7027	0.8129	0.5522	0.6624	0.2862	0.3848	0.3115	0.7656	nan	0.3405	0.6866	0.3918	0.4008	nan	0.2539	0.8526	0.7267	0.9086	0.0	0.1584
0.4585	7.12	2850	0.6071	0.2919	0.3501	0.8403	nan	0.8647	0.9271	0.5548	0.7557	0.4746	0.5295	0.5841	0.9200	nan	0.3762	0.9060	0.5504	0.4677	nan	0.3497	0.9375	0.8628	0.9623	0.0	0.1786	nan	0.7391	0.8300	0.5397	0.7073	0.3054	0.4055	0.3090	0.7608	nan	0.3416	0.6935	0.4100	0.4183	nan	0.2544	0.8556	0.7156	0.9094	0.0	0.1445
0.5376	7.25	2900	0.6132	0.2882	0.3473	0.8338	nan	0.8155	0.9337	0.6034	0.7660	0.4710	0.4848	0.5751	0.9343	nan	0.3926	0.8519	0.6031	0.4158	nan	0.3384	0.9504	0.8445	0.9681	0.0	0.1651	nan	0.7171	0.8186	0.5670	0.6853	0.3079	0.3894	0.3251	0.7538	nan	0.3447	0.6852	0.3932	0.3749	nan	0.2500	0.8496	0.7157	0.9100	0.0	0.1362
0.8122	7.38	2950	0.5909	0.2962	0.3554	0.8392	nan	0.8091	0.9412	0.6466	0.7718	0.4751	0.5177	0.6016	0.9080	nan	0.4417	0.8859	0.5373	0.5146	nan	0.3196	0.9460	0.8538	0.9662	0.0	0.2365	nan	0.7260	0.8224	0.5813	0.7010	0.3154	0.3948	0.3090	0.7724	nan	0.3926	0.6921	0.4100	0.4498	nan	0.2447	0.8537	0.7256	0.9103	0.0	0.1782
0.3453	7.5	3000	0.5974	0.2921	0.3480	0.8385	nan	0.8227	0.9410	0.6648	0.7513	0.4138	0.5276	0.5763	0.9103	nan	0.3788	0.8851	0.5094	0.5078	nan	0.2979	0.9538	0.8589	0.9633	0.0	0.1738	nan	0.7255	0.8212	0.5890	0.6919	0.3014	0.4090	0.3098	0.7660	nan	0.3425	0.6849	0.3964	0.4477	nan	0.2358	0.8483	0.7257	0.9112	0.0	0.1416
0.4628	7.62	3050	0.5971	0.2919	0.3514	0.8371	nan	0.8185	0.9402	0.6444	0.7747	0.3999	0.5277	0.5876	0.9099	nan	0.4217	0.8667	0.5486	0.5637	nan	0.3187	0.9444	0.8713	0.9631	0.0	0.1452	nan	0.7199	0.8225	0.5822	0.6970	0.2991	0.4052	0.3179	0.7652	nan	0.3749	0.6743	0.3871	0.4440	nan	0.2444	0.8556	0.7193	0.9118	0.0	0.1215
1.6032	7.75	3100	0.6105	0.2925	0.3547	0.8333	nan	0.8138	0.9386	0.6522	0.7084	0.4581	0.5056	0.6305	0.9079	nan	0.4763	0.8483	0.5818	0.5395	nan	0.3222	0.9458	0.8723	0.9676	0.0	0.1810	nan	0.7112	0.8156	0.5762	0.6682	0.3138	0.3962	0.3092	0.7700	nan	0.4116	0.6719	0.3836	0.4498	nan	0.2464	0.8550	0.7242	0.9102	0.0	0.1482
0.2408	7.88	3150	0.5932	0.2955	0.3586	0.8381	nan	0.8021	0.9346	0.6598	0.7938	0.5279	0.5633	0.6333	0.9050	nan	0.4273	0.8611	0.5607	0.5245	nan	0.3308	0.9497	0.8486	0.9692	0.0	0.1826	nan	0.7185	0.8279	0.5987	0.7105	0.3205	0.4141	0.2957	0.7709	nan	0.3758	0.6796	0.3960	0.4542	nan	0.2473	0.8530	0.7347	0.9100	0.0	0.1486
0.5243	8.0	3200	0.5799	0.2979	0.3597	0.8435	nan	0.8682	0.9230	0.6693	0.8014	0.4804	0.5210	0.6297	0.9214	nan	0.4416	0.8687	0.5426	0.5655	nan	0.3073	0.9424	0.8744	0.9677	0.0	0.1860	nan	0.7427	0.8376	0.6361	0.7198	0.3149	0.3952	0.3306	0.7625	nan	0.3724	0.6834	0.3969	0.4529	nan	0.2406	0.8569	0.7294	0.9109	0.0	0.1505
0.7106	8.12	3250	0.5898	0.2938	0.3551	0.8390	nan	0.8028	0.9358	0.6853	0.8185	0.4355	0.5430	0.6255	0.9128	nan	0.4179	0.8797	0.5200	0.5480	nan	0.2941	0.9499	0.8647	0.9643	0.0	0.1668	nan	0.7124	0.8312	0.6000	0.7053	0.2940	0.4078	0.3024	0.7677	nan	0.3681	0.6838	0.3989	0.4578	nan	0.2355	0.8532	0.7319	0.9131	0.0	0.1374
0.3865	8.25	3300	0.5789	0.2964	0.3607	0.8419	nan	0.8309	0.9310	0.7078	0.7971	0.4823	0.5610	0.6033	0.9205	nan	0.4831	0.8636	0.5286	0.5814	nan	0.3079	0.9487	0.8607	0.9688	0.0	0.1672	nan	0.7273	0.8400	0.5976	0.7206	0.3247	0.4121	0.3307	0.7657	nan	0.3897	0.6828	0.3820	0.4413	nan	0.2445	0.8532	0.7225	0.9115	0.0	0.1392
0.5896	8.38	3350	0.6025	0.2943	0.3538	0.8375	nan	0.8034	0.9395	0.6203	0.7912	0.4404	0.5404	0.6167	0.9121	nan	0.4611	0.8900	0.5326	0.5242	nan	0.3185	0.9474	0.8322	0.9662	0.0	0.1859	nan	0.7142	0.8253	0.5802	0.6994	0.2989	0.4128	0.3161	0.7676	nan	0.3812	0.6786	0.3960	0.4637	nan	0.2466	0.8527	0.7224	0.9117	0.0	0.1499
1.6879	8.5	3400	0.5871	0.2966	0.3589	0.8414	nan	0.8057	0.9414	0.6753	0.8033	0.4564	0.5567	0.6269	0.9270	nan	0.3957	0.8722	0.5594	0.5370	nan	0.3143	0.9407	0.8642	0.9686	0.0	0.2395	nan	0.7284	0.8327	0.6046	0.7031	0.3060	0.4110	0.3216	0.7609	nan	0.3409	0.6896	0.4035	0.4605	nan	0.2464	0.8586	0.7306	0.9114	0.0	0.1818
0.6102	8.62	3450	0.5856	0.3002	0.3654	0.8415	nan	0.8138	0.9321	0.6827	0.7914	0.5197	0.5760	0.6360	0.9170	nan	0.4329	0.8645	0.5720	0.5589	nan	0.3342	0.9411	0.8703	0.9668	0.0	0.2819	nan	0.7285	0.8326	0.6223	0.7048	0.3289	0.4190	0.3168	0.7722	nan	0.3742	0.6903	0.3949	0.4580	nan	0.2568	0.8579	0.7263	0.9125	0.0	0.2096
0.5784	8.75	3500	0.5754	0.3011	0.3608	0.8461	nan	0.8669	0.9306	0.6895	0.7825	0.5161	0.5344	0.5997	0.9154	nan	0.4049	0.8770	0.5577	0.5588	nan	0.3366	0.9399	0.8514	0.9688	0.0	0.2159	nan	0.7534	0.8392	0.6345	0.7241	0.3294	0.4154	0.3472	0.7644	nan	0.3513	0.6833	0.4003	0.4627	nan	0.2555	0.8589	0.7317	0.9111	0.0	0.1713
1.7496	8.88	3550	0.5936	0.2977	0.3537	0.8416	nan	0.8368	0.9449	0.6772	0.7436	0.4208	0.5329	0.5842	0.9125	nan	0.4109	0.8839	0.5324	0.5578	nan	0.3259	0.9427	0.8489	0.9690	0.0	0.1938	nan	0.7350	0.8241	0.6306	0.6945	0.2953	0.4129	0.3417	0.7659	nan	0.3593	0.6860	0.4051	0.4630	nan	0.2501	0.8582	0.7381	0.9112	0.0	0.1560
0.6411	9.0	3600	0.5782	0.3001	0.3602	0.8450	nan	0.8407	0.9365	0.6861	0.7895	0.4828	0.5688	0.5980	0.9231	nan	0.4029	0.8744	0.5688	0.5442	nan	0.3323	0.9423	0.8588	0.9623	0.0	0.2144	nan	0.7472	0.8364	0.6280	0.7149	0.3246	0.4239	0.3428	0.7609	nan	0.3477	0.6867	0.4030	0.4632	nan	0.2531	0.8580	0.7279	0.9144	0.0	0.1700
0.2624	9.12	3650	0.5766	0.3008	0.3624	0.8455	nan	0.8574	0.9342	0.6988	0.7744	0.4983	0.5394	0.6314	0.9148	nan	0.4402	0.8562	0.5510	0.5560	nan	0.3273	0.9469	0.8694	0.9709	0.0	0.2311	nan	0.7491	0.8379	0.6241	0.7221	0.3229	0.4173	0.3273	0.7682	nan	0.3773	0.6890	0.4010	0.4651	nan	0.2490	0.8544	0.7306	0.9108	0.0	0.1799
0.5411	9.25	3700	0.5959	0.2991	0.3590	0.8420	nan	0.8243	0.9438	0.6836	0.7438	0.4344	0.5621	0.6202	0.9143	nan	0.4442	0.8901	0.5455	0.5510	nan	0.3440	0.9400	0.8591	0.9693	0.0	0.2192	nan	0.7328	0.8259	0.6144	0.7018	0.3058	0.4202	0.3204	0.7710	nan	0.3832	0.6900	0.4063	0.4782	nan	0.2535	0.8589	0.7253	0.9120	0.0	0.1724
0.4142	9.38	3750	0.5848	0.3006	0.3620	0.8433	nan	0.8309	0.9357	0.6855	0.7703	0.5115	0.5599	0.6165	0.9205	nan	0.4350	0.8814	0.5538	0.5682	nan	0.3382	0.9411	0.8575	0.9667	0.0	0.2110	nan	0.7370	0.8313	0.6229	0.7160	0.3284	0.4230	0.3381	0.7636	nan	0.3743	0.6905	0.4047	0.4693	nan	0.2534	0.8589	0.7273	0.9130	0.0	0.1678
0.1631	9.5	3800	0.5809	0.3004	0.3613	0.8442	nan	0.8349	0.9352	0.6964	0.7850	0.4969	0.5560	0.6125	0.9205	nan	0.4223	0.8734	0.5475	0.5597	nan	0.3284	0.9443	0.8656	0.9681	0.0	0.2162	nan	0.7388	0.8335	0.6233	0.7213	0.3269	0.4226	0.3368	0.7658	nan	0.3673	0.6888	0.4010	0.4662	nan	0.2488	0.8584	0.7272	0.9126	0.0	0.1724
0.2142	9.62	3850	0.5863	0.3005	0.3612	0.8431	nan	0.8182	0.9396	0.6847	0.7896	0.4772	0.5550	0.6190	0.9196	nan	0.4422	0.8868	0.5410	0.5606	nan	0.3348	0.9402	0.8630	0.9681	0.0	0.2181	nan	0.7320	0.8301	0.6246	0.7106	0.3221	0.4228	0.3343	0.7649	nan	0.3806	0.6901	0.4065	0.4717	nan	0.2530	0.8602	0.7283	0.9126	0.0	0.1703
0.3553	9.75	3900	0.5858	0.3001	0.3609	0.8427	nan	0.8141	0.9397	0.6925	0.7829	0.4822	0.5729	0.6157	0.9203	nan	0.4383	0.8819	0.5435	0.5580	nan	0.3288	0.9440	0.8589	0.9674	0.0	0.2090	nan	0.7311	0.8296	0.6192	0.7106	0.3215	0.4236	0.3390	0.7656	nan	0.3775	0.6901	0.4062	0.4686	nan	0.2500	0.8589	0.7322	0.9129	0.0	0.1658
0.2847	9.88	3950	0.5819	0.3003	0.3605	0.8437	nan	0.8261	0.9406	0.6928	0.7874	0.4766	0.5505	0.6122	0.9229	nan	0.4291	0.8708	0.5581	0.5595	nan	0.3340	0.9449	0.8500	0.9671	0.0	0.2120	nan	0.7365	0.8308	0.6246	0.7127	0.3233	0.4204	0.3362	0.7647	nan	0.3718	0.6897	0.4051	0.4663	nan	0.2519	0.8588	0.7346	0.9130	0.0	0.1681
0.4745	10.0	4000	0.5818	0.3011	0.3610	0.8444	nan	0.8364	0.9386	0.7005	0.7745	0.4695	0.5463	0.6230	0.9128	nan	0.4478	0.8809	0.5418	0.5574	nan	0.3278	0.9459	0.8600	0.9662	0.0	0.2230	nan	0.7395	0.8314	0.6251	0.7160	0.3216	0.4206	0.3351	0.7711	nan	0.3854	0.6893	0.4039	0.4696	nan	0.2496	0.8583	0.7294	0.9135	0.0	0.1745

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

JCAI2000/segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JCAI2000/
segformer-b0-finetuned-segments-sidewalk-2-segformer-tutourial