segformer-b0-finetuned-segments-sidewalk-2

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

• Loss: 0.0550
• Mean Iou: 0.4255
• Mean Accuracy: 0.8510
• Overall Accuracy: 0.8510
• Accuracy Unlabeled: nan
• Accuracy Lipid: 0.8510
• Iou Unlabeled: 0.0
• Iou Lipid: 0.8510

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: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Lipid	Iou Unlabeled	Iou Lipid
0.0516	2.5	20	0.0743	0.0034	0.0068	0.0068	nan	0.0068	0.0	0.0068
0.0349	5.0	40	0.0308	0.0	0.0	0.0	nan	0.0	0.0	0.0
0.0325	7.5	60	0.1740	0.0820	0.1640	0.1640	nan	0.1640	0.0	0.1640
0.0543	10.0	80	0.0901	0.0395	0.0791	0.0791	nan	0.0791	0.0	0.0791
0.026	12.5	100	0.0796	0.0472	0.0943	0.0943	nan	0.0943	0.0	0.0943
0.0188	15.0	120	0.0522	0.0428	0.0855	0.0855	nan	0.0855	0.0	0.0855
0.0245	17.5	140	0.1580	0.2788	0.5576	0.5576	nan	0.5576	0.0	0.5576
0.0191	20.0	160	0.1044	0.1776	0.3551	0.3551	nan	0.3551	0.0	0.3551
0.0191	22.5	180	0.1680	0.2733	0.5467	0.5467	nan	0.5467	0.0	0.5467
0.0192	25.0	200	0.1560	0.2549	0.5098	0.5098	nan	0.5098	0.0	0.5098
0.012	27.5	220	0.1381	0.2477	0.4955	0.4955	nan	0.4955	0.0	0.4955
0.0119	30.0	240	0.1454	0.3042	0.6084	0.6084	nan	0.6084	0.0	0.6084
0.0193	32.5	260	0.0829	0.2021	0.4043	0.4043	nan	0.4043	0.0	0.4043
0.0088	35.0	280	0.1286	0.2576	0.5151	0.5151	nan	0.5151	0.0	0.5151
0.0198	37.5	300	0.0757	0.2336	0.4671	0.4671	nan	0.4671	0.0	0.4671
0.0124	40.0	320	0.1081	0.2516	0.5032	0.5032	nan	0.5032	0.0	0.5032
0.0348	42.5	340	0.1083	0.3188	0.6377	0.6377	nan	0.6377	0.0	0.6377
0.0083	45.0	360	0.0434	0.2969	0.5939	0.5939	nan	0.5939	0.0	0.5939
0.0135	47.5	380	0.0343	0.0148	0.0296	0.0296	nan	0.0296	0.0	0.0296
0.0062	50.0	400	0.1240	0.3299	0.6598	0.6598	nan	0.6598	0.0	0.6598
0.0075	52.5	420	0.0793	0.3017	0.6033	0.6033	nan	0.6033	0.0	0.6033
0.007	55.0	440	0.0958	0.4086	0.8173	0.8173	nan	0.8173	0.0	0.8173
0.0071	57.5	460	0.0204	0.1870	0.3741	0.3741	nan	0.3741	0.0	0.3741
0.0071	60.0	480	0.0971	0.4326	0.8652	0.8652	nan	0.8652	0.0	0.8652
0.0107	62.5	500	0.1058	0.4312	0.8624	0.8624	nan	0.8624	0.0	0.8624
0.0033	65.0	520	0.1208	0.4278	0.8557	0.8557	nan	0.8557	0.0	0.8557
0.0071	67.5	540	0.1153	0.3516	0.7032	0.7032	nan	0.7032	0.0	0.7032
0.0055	70.0	560	0.1756	0.4550	0.9099	0.9099	nan	0.9099	0.0	0.9099
0.0114	72.5	580	0.1491	0.4353	0.8706	0.8706	nan	0.8706	0.0	0.8706
0.008	75.0	600	0.2018	0.4520	0.9041	0.9041	nan	0.9041	0.0	0.9041
0.0037	77.5	620	0.0842	0.2597	0.5195	0.5195	nan	0.5195	0.0	0.5195
0.0079	80.0	640	0.1237	0.3507	0.7013	0.7013	nan	0.7013	0.0	0.7013
0.0064	82.5	660	0.1580	0.4599	0.9199	0.9199	nan	0.9199	0.0	0.9199
0.0102	85.0	680	0.1675	0.4474	0.8947	0.8947	nan	0.8947	0.0	0.8947
0.0034	87.5	700	0.1346	0.4061	0.8122	0.8122	nan	0.8122	0.0	0.8122
0.0052	90.0	720	0.1353	0.3878	0.7757	0.7757	nan	0.7757	0.0	0.7757
0.0078	92.5	740	0.1522	0.4156	0.8312	0.8312	nan	0.8312	0.0	0.8312
0.0072	95.0	760	0.0946	0.3724	0.7449	0.7449	nan	0.7449	0.0	0.7449
0.0056	97.5	780	0.1443	0.3535	0.7071	0.7071	nan	0.7071	0.0	0.7071
0.0025	100.0	800	0.0505	0.2453	0.4906	0.4906	nan	0.4906	0.0	0.4906
0.0054	102.5	820	0.0572	0.3087	0.6174	0.6174	nan	0.6174	0.0	0.6174
0.0041	105.0	840	0.0329	0.3713	0.7425	0.7425	nan	0.7425	0.0	0.7425
0.0109	107.5	860	0.0145	0.0508	0.1016	0.1016	nan	0.1016	0.0	0.1016
0.007	110.0	880	0.0777	0.3226	0.6453	0.6453	nan	0.6453	0.0	0.6453
0.0083	112.5	900	0.0207	0.0628	0.1256	0.1256	nan	0.1256	0.0	0.1256
0.0097	115.0	920	0.0277	0.0798	0.1596	0.1596	nan	0.1596	0.0	0.1596
0.0072	117.5	940	0.0855	0.4426	0.8853	0.8853	nan	0.8853	0.0	0.8853
0.012	120.0	960	0.0892	0.4119	0.8238	0.8238	nan	0.8238	0.0	0.8238
0.0051	122.5	980	0.1283	0.4709	0.9418	0.9418	nan	0.9418	0.0	0.9418
0.0077	125.0	1000	0.0457	0.2912	0.5825	0.5825	nan	0.5825	0.0	0.5825
0.0034	127.5	1020	0.1691	0.4538	0.9075	0.9075	nan	0.9075	0.0	0.9075
0.0122	130.0	1040	0.1461	0.4322	0.8645	0.8645	nan	0.8645	0.0	0.8645
0.0114	132.5	1060	0.0897	0.4222	0.8443	0.8443	nan	0.8443	0.0	0.8443
0.0032	135.0	1080	0.0840	0.4068	0.8135	0.8135	nan	0.8135	0.0	0.8135
0.0018	137.5	1100	0.0703	0.3818	0.7636	0.7636	nan	0.7636	0.0	0.7636
0.007	140.0	1120	0.0540	0.3854	0.7707	0.7707	nan	0.7707	0.0	0.7707
0.0033	142.5	1140	0.1461	0.4680	0.9360	0.9360	nan	0.9360	0.0	0.9360
0.0053	145.0	1160	0.0881	0.4246	0.8492	0.8492	nan	0.8492	0.0	0.8492
0.0021	147.5	1180	0.1465	0.4431	0.8862	0.8862	nan	0.8862	0.0	0.8862
0.004	150.0	1200	0.0908	0.3682	0.7364	0.7364	nan	0.7364	0.0	0.7364
0.0055	152.5	1220	0.0143	0.2918	0.5835	0.5835	nan	0.5835	0.0	0.5835
0.0071	155.0	1240	0.0314	0.3678	0.7357	0.7357	nan	0.7357	0.0	0.7357
0.0042	157.5	1260	0.0962	0.4116	0.8232	0.8232	nan	0.8232	0.0	0.8232
0.0035	160.0	1280	0.0958	0.4412	0.8824	0.8824	nan	0.8824	0.0	0.8824
0.0045	162.5	1300	0.1473	0.4577	0.9153	0.9153	nan	0.9153	0.0	0.9153
0.008	165.0	1320	0.0537	0.4320	0.8639	0.8639	nan	0.8639	0.0	0.8639
0.005	167.5	1340	0.1155	0.4133	0.8265	0.8265	nan	0.8265	0.0	0.8265
0.0052	170.0	1360	0.0997	0.4201	0.8402	0.8402	nan	0.8402	0.0	0.8402
0.0034	172.5	1380	0.1630	0.4693	0.9386	0.9386	nan	0.9386	0.0	0.9386
0.0052	175.0	1400	0.1317	0.4719	0.9437	0.9437	nan	0.9437	0.0	0.9437
0.0074	177.5	1420	0.0829	0.4105	0.8210	0.8210	nan	0.8210	0.0	0.8210
0.0028	180.0	1440	0.0844	0.4172	0.8345	0.8345	nan	0.8345	0.0	0.8345
0.0058	182.5	1460	0.0435	0.4035	0.8069	0.8069	nan	0.8069	0.0	0.8069
0.0016	185.0	1480	0.0738	0.3716	0.7432	0.7432	nan	0.7432	0.0	0.7432
0.0042	187.5	1500	0.0720	0.4293	0.8586	0.8586	nan	0.8586	0.0	0.8586
0.0054	190.0	1520	0.1118	0.4383	0.8765	0.8765	nan	0.8765	0.0	0.8765
0.0029	192.5	1540	0.0983	0.4670	0.9341	0.9341	nan	0.9341	0.0	0.9341
0.0058	195.0	1560	0.1428	0.4736	0.9472	0.9472	nan	0.9472	0.0	0.9472
0.002	197.5	1580	0.0342	0.4120	0.8240	0.8240	nan	0.8240	0.0	0.8240
0.0159	200.0	1600	0.0726	0.4483	0.8966	0.8966	nan	0.8966	0.0	0.8966
0.0039	202.5	1620	0.0517	0.3259	0.6519	0.6519	nan	0.6519	0.0	0.6519
0.0063	205.0	1640	0.0964	0.4086	0.8171	0.8171	nan	0.8171	0.0	0.8171
0.0057	207.5	1660	0.0325	0.2521	0.5043	0.5043	nan	0.5043	0.0	0.5043
0.0041	210.0	1680	0.0323	0.4040	0.8081	0.8081	nan	0.8081	0.0	0.8081
0.0036	212.5	1700	0.1222	0.4657	0.9315	0.9315	nan	0.9315	0.0	0.9315
0.0052	215.0	1720	0.0984	0.4187	0.8375	0.8375	nan	0.8375	0.0	0.8375
0.0031	217.5	1740	0.0806	0.4095	0.8190	0.8190	nan	0.8190	0.0	0.8190
0.0053	220.0	1760	0.0750	0.3251	0.6503	0.6503	nan	0.6503	0.0	0.6503
0.0016	222.5	1780	0.0943	0.3690	0.7380	0.7380	nan	0.7380	0.0	0.7380
0.0014	225.0	1800	0.0832	0.3781	0.7562	0.7562	nan	0.7562	0.0	0.7562
0.0016	227.5	1820	0.0583	0.4524	0.9048	0.9048	nan	0.9048	0.0	0.9048
0.0059	230.0	1840	0.0812	0.4081	0.8162	0.8162	nan	0.8162	0.0	0.8162
0.0039	232.5	1860	0.0915	0.3669	0.7337	0.7337	nan	0.7337	0.0	0.7337
0.0065	235.0	1880	0.0144	0.2502	0.5004	0.5004	nan	0.5004	0.0	0.5004
0.0036	237.5	1900	0.0905	0.4684	0.9369	0.9369	nan	0.9369	0.0	0.9369
0.0027	240.0	1920	0.0926	0.4087	0.8174	0.8174	nan	0.8174	0.0	0.8174
0.0027	242.5	1940	0.0670	0.4460	0.8920	0.8920	nan	0.8920	0.0	0.8920
0.0028	245.0	1960	0.0950	0.4656	0.9312	0.9312	nan	0.9312	0.0	0.9312
0.0025	247.5	1980	0.1178	0.4315	0.8630	0.8630	nan	0.8630	0.0	0.8630
0.0028	250.0	2000	0.0963	0.3941	0.7882	0.7882	nan	0.7882	0.0	0.7882
0.0016	252.5	2020	0.0682	0.4172	0.8344	0.8344	nan	0.8344	0.0	0.8344
0.002	255.0	2040	0.0760	0.4218	0.8437	0.8437	nan	0.8437	0.0	0.8437
0.0011	257.5	2060	0.0649	0.3866	0.7732	0.7732	nan	0.7732	0.0	0.7732
0.0038	260.0	2080	0.0962	0.4099	0.8198	0.8198	nan	0.8198	0.0	0.8198
0.0071	262.5	2100	0.0638	0.4079	0.8159	0.8159	nan	0.8159	0.0	0.8159
0.0029	265.0	2120	0.0356	0.3062	0.6125	0.6125	nan	0.6125	0.0	0.6125
0.0013	267.5	2140	0.0410	0.3779	0.7558	0.7558	nan	0.7558	0.0	0.7558
0.0061	270.0	2160	0.0985	0.4085	0.8169	0.8169	nan	0.8169	0.0	0.8169
0.001	272.5	2180	0.0520	0.3867	0.7734	0.7734	nan	0.7734	0.0	0.7734
0.0035	275.0	2200	0.0777	0.4045	0.8090	0.8090	nan	0.8090	0.0	0.8090
0.0037	277.5	2220	0.0407	0.3915	0.7830	0.7830	nan	0.7830	0.0	0.7830
0.0045	280.0	2240	0.0780	0.4407	0.8814	0.8814	nan	0.8814	0.0	0.8814
0.0026	282.5	2260	0.0606	0.4039	0.8078	0.8078	nan	0.8078	0.0	0.8078
0.0034	285.0	2280	0.0820	0.4020	0.8039	0.8039	nan	0.8039	0.0	0.8039
0.0039	287.5	2300	0.0842	0.4458	0.8915	0.8915	nan	0.8915	0.0	0.8915
0.0007	290.0	2320	0.0296	0.3628	0.7257	0.7257	nan	0.7257	0.0	0.7257
0.0051	292.5	2340	0.0728	0.4366	0.8732	0.8732	nan	0.8732	0.0	0.8732
0.001	295.0	2360	0.0337	0.3528	0.7056	0.7056	nan	0.7056	0.0	0.7056
0.0015	297.5	2380	0.1415	0.4762	0.9524	0.9524	nan	0.9524	0.0	0.9524
0.0047	300.0	2400	0.0607	0.4035	0.8070	0.8070	nan	0.8070	0.0	0.8070
0.0022	302.5	2420	0.0882	0.4462	0.8924	0.8924	nan	0.8924	0.0	0.8924
0.001	305.0	2440	0.0629	0.4151	0.8303	0.8303	nan	0.8303	0.0	0.8303
0.0028	307.5	2460	0.0676	0.4447	0.8895	0.8895	nan	0.8895	0.0	0.8895
0.0009	310.0	2480	0.0947	0.4772	0.9544	0.9544	nan	0.9544	0.0	0.9544
0.0025	312.5	2500	0.0736	0.4609	0.9218	0.9218	nan	0.9218	0.0	0.9218
0.0049	315.0	2520	0.0672	0.4460	0.8919	0.8919	nan	0.8919	0.0	0.8919
0.0045	317.5	2540	0.1001	0.4477	0.8954	0.8954	nan	0.8954	0.0	0.8954
0.0014	320.0	2560	0.1098	0.4330	0.8661	0.8661	nan	0.8661	0.0	0.8661
0.0048	322.5	2580	0.0952	0.4472	0.8945	0.8945	nan	0.8945	0.0	0.8945
0.0009	325.0	2600	0.0610	0.4133	0.8266	0.8266	nan	0.8266	0.0	0.8266
0.0065	327.5	2620	0.0673	0.4195	0.8389	0.8389	nan	0.8389	0.0	0.8389
0.003	330.0	2640	0.0626	0.3853	0.7706	0.7706	nan	0.7706	0.0	0.7706
0.0048	332.5	2660	0.0849	0.4614	0.9229	0.9229	nan	0.9229	0.0	0.9229
0.0041	335.0	2680	0.0235	0.3797	0.7594	0.7594	nan	0.7594	0.0	0.7594
0.0014	337.5	2700	0.0863	0.4367	0.8734	0.8734	nan	0.8734	0.0	0.8734
0.0058	340.0	2720	0.0570	0.4419	0.8839	0.8839	nan	0.8839	0.0	0.8839
0.0051	342.5	2740	0.0551	0.4066	0.8132	0.8132	nan	0.8132	0.0	0.8132
0.0061	345.0	2760	0.1018	0.4437	0.8874	0.8874	nan	0.8874	0.0	0.8874
0.0037	347.5	2780	0.0993	0.4395	0.8791	0.8791	nan	0.8791	0.0	0.8791
0.0021	350.0	2800	0.0393	0.3939	0.7878	0.7878	nan	0.7878	0.0	0.7878
0.0068	352.5	2820	0.0244	0.3703	0.7406	0.7406	nan	0.7406	0.0	0.7406
0.0033	355.0	2840	0.1167	0.4802	0.9604	0.9604	nan	0.9604	0.0	0.9604
0.0024	357.5	2860	0.0592	0.4510	0.9019	0.9019	nan	0.9019	0.0	0.9019
0.0037	360.0	2880	0.0345	0.4301	0.8603	0.8603	nan	0.8603	0.0	0.8603
0.0026	362.5	2900	0.0461	0.3819	0.7639	0.7639	nan	0.7639	0.0	0.7639
0.0021	365.0	2920	0.0749	0.4493	0.8986	0.8986	nan	0.8986	0.0	0.8986
0.0011	367.5	2940	0.0410	0.4117	0.8235	0.8235	nan	0.8235	0.0	0.8235
0.0066	370.0	2960	0.0345	0.3802	0.7604	0.7604	nan	0.7604	0.0	0.7604
0.0021	372.5	2980	0.0317	0.3858	0.7715	0.7715	nan	0.7715	0.0	0.7715
0.0024	375.0	3000	0.0411	0.3935	0.7871	0.7871	nan	0.7871	0.0	0.7871
0.0041	377.5	3020	0.0520	0.3668	0.7336	0.7336	nan	0.7336	0.0	0.7336
0.0054	380.0	3040	0.0696	0.4331	0.8662	0.8662	nan	0.8662	0.0	0.8662
0.0025	382.5	3060	0.0733	0.4488	0.8977	0.8977	nan	0.8977	0.0	0.8977
0.003	385.0	3080	0.0227	0.3969	0.7938	0.7938	nan	0.7938	0.0	0.7938
0.0027	387.5	3100	0.0404	0.4348	0.8696	0.8696	nan	0.8696	0.0	0.8696
0.0024	390.0	3120	0.0305	0.3848	0.7696	0.7696	nan	0.7696	0.0	0.7696
0.0028	392.5	3140	0.0808	0.4544	0.9087	0.9087	nan	0.9087	0.0	0.9087
0.0034	395.0	3160	0.0424	0.3964	0.7928	0.7928	nan	0.7928	0.0	0.7928
0.002	397.5	3180	0.0513	0.4040	0.8080	0.8080	nan	0.8080	0.0	0.8080
0.0048	400.0	3200	0.0534	0.4107	0.8214	0.8214	nan	0.8214	0.0	0.8214
0.0028	402.5	3220	0.0439	0.4208	0.8416	0.8416	nan	0.8416	0.0	0.8416
0.0027	405.0	3240	0.0818	0.4603	0.9207	0.9207	nan	0.9207	0.0	0.9207
0.0012	407.5	3260	0.0618	0.4365	0.8730	0.8730	nan	0.8730	0.0	0.8730
0.0006	410.0	3280	0.0907	0.4469	0.8939	0.8939	nan	0.8939	0.0	0.8939
0.0023	412.5	3300	0.0850	0.4304	0.8609	0.8609	nan	0.8609	0.0	0.8609
0.0063	415.0	3320	0.0759	0.4201	0.8402	0.8402	nan	0.8402	0.0	0.8402
0.0013	417.5	3340	0.0740	0.4434	0.8867	0.8867	nan	0.8867	0.0	0.8867
0.0057	420.0	3360	0.0611	0.4098	0.8196	0.8196	nan	0.8196	0.0	0.8196
0.0025	422.5	3380	0.0554	0.4246	0.8491	0.8491	nan	0.8491	0.0	0.8491
0.0009	425.0	3400	0.0778	0.4282	0.8563	0.8563	nan	0.8563	0.0	0.8563
0.0028	427.5	3420	0.0680	0.4317	0.8635	0.8635	nan	0.8635	0.0	0.8635
0.0023	430.0	3440	0.0654	0.4394	0.8788	0.8788	nan	0.8788	0.0	0.8788
0.0025	432.5	3460	0.0788	0.4640	0.9279	0.9279	nan	0.9279	0.0	0.9279
0.0022	435.0	3480	0.0643	0.4517	0.9035	0.9035	nan	0.9035	0.0	0.9035
0.0045	437.5	3500	0.0637	0.4307	0.8613	0.8613	nan	0.8613	0.0	0.8613
0.0035	440.0	3520	0.0549	0.4093	0.8186	0.8186	nan	0.8186	0.0	0.8186
0.0034	442.5	3540	0.1051	0.4698	0.9396	0.9396	nan	0.9396	0.0	0.9396
0.0021	445.0	3560	0.0800	0.4529	0.9058	0.9058	nan	0.9058	0.0	0.9058
0.002	447.5	3580	0.1074	0.4614	0.9227	0.9227	nan	0.9227	0.0	0.9227
0.0058	450.0	3600	0.0889	0.4463	0.8927	0.8927	nan	0.8927	0.0	0.8927
0.0025	452.5	3620	0.0575	0.4435	0.8869	0.8869	nan	0.8869	0.0	0.8869
0.0041	455.0	3640	0.0882	0.4613	0.9227	0.9227	nan	0.9227	0.0	0.9227
0.0036	457.5	3660	0.0688	0.4206	0.8411	0.8411	nan	0.8411	0.0	0.8411
0.0036	460.0	3680	0.0881	0.4253	0.8506	0.8506	nan	0.8506	0.0	0.8506
0.0024	462.5	3700	0.0385	0.3948	0.7897	0.7897	nan	0.7897	0.0	0.7897
0.0023	465.0	3720	0.1067	0.4589	0.9177	0.9177	nan	0.9177	0.0	0.9177
0.002	467.5	3740	0.0687	0.4399	0.8798	0.8798	nan	0.8798	0.0	0.8798
0.0051	470.0	3760	0.0754	0.4152	0.8303	0.8303	nan	0.8303	0.0	0.8303
0.0045	472.5	3780	0.0821	0.4523	0.9045	0.9045	nan	0.9045	0.0	0.9045
0.0006	475.0	3800	0.0443	0.3783	0.7565	0.7565	nan	0.7565	0.0	0.7565
0.0028	477.5	3820	0.0482	0.4239	0.8478	0.8478	nan	0.8478	0.0	0.8478
0.0059	480.0	3840	0.0990	0.4447	0.8894	0.8894	nan	0.8894	0.0	0.8894
0.0028	482.5	3860	0.0677	0.4387	0.8774	0.8774	nan	0.8774	0.0	0.8774
0.0052	485.0	3880	0.0469	0.4081	0.8163	0.8163	nan	0.8163	0.0	0.8163
0.0041	487.5	3900	0.0569	0.4397	0.8795	0.8795	nan	0.8795	0.0	0.8795
0.0039	490.0	3920	0.0341	0.3641	0.7283	0.7283	nan	0.7283	0.0	0.7283
0.0028	492.5	3940	0.0388	0.4405	0.8809	0.8809	nan	0.8809	0.0	0.8809
0.0038	495.0	3960	0.0623	0.3886	0.7772	0.7772	nan	0.7772	0.0	0.7772
0.0026	497.5	3980	0.0923	0.4500	0.8999	0.8999	nan	0.8999	0.0	0.8999
0.0023	500.0	4000	0.0550	0.4255	0.8510	0.8510	nan	0.8510	0.0	0.8510

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2