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JaesonGu/
segformer-b0-finetuned-segments-chargers-2-15

Name: segformer-b0-finetuned-segments-chargers-2-15
Availability: InStock

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segformer-b0-finetuned-segments-chargers-2-15

This model is a fine-tuned version of nvidia/mit-b0 on the JaesonGu/chargers-full-v0.1 dataset. It achieves the following results on the evaluation set:

Loss: 3.1483
Mean Iou: 0.1382
Mean Accuracy: 0.2
Overall Accuracy: 0.6911
Accuracy Unlabeled: nan
Accuracy Screen: 0.0
Accuracy Body: 0.0
Accuracy Cable: 0.0
Accuracy Plug: 0.0
Accuracy Void-background: 1.0
Iou Unlabeled: nan
Iou Screen: 0.0
Iou Body: 0.0
Iou Cable: 0.0
Iou Plug: 0.0
Iou Void-background: 0.6911

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: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Unlabeled	Accuracy Screen	Accuracy Body	Accuracy Cable	Accuracy Plug	Accuracy Void-background	Iou Unlabeled	Iou Screen	Iou Body	Iou Cable	Iou Plug	Iou Void-background
1.6002	0.2985	20	1.6296	0.1003	0.2052	0.4421	nan	0.1795	0.0347	0.0000	0.2140	0.5977	0.0	0.0353	0.0289	0.0000	0.0625	0.4749
1.6099	0.5970	40	1.2875	0.1193	0.2030	0.6772	nan	0.0222	0.0173	0.0	0.0007	0.9749	0.0	0.0178	0.0157	0.0	0.0007	0.6814
1.4292	0.8955	60	1.1415	0.1154	0.2002	0.6910	nan	0.0011	0.0001	0.0	0.0	0.9998	0.0	0.0010	0.0001	0.0	0.0	0.6910
1.4013	1.1940	80	1.1076	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4893	1.4925	100	1.0717	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1331	1.7910	120	1.1670	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0894	2.0896	140	1.1945	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2757	2.3881	160	1.1850	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4291	2.6866	180	1.1334	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1185	2.9851	200	1.7538	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4708	3.2836	220	1.4141	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.754	3.5821	240	1.8297	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9905	3.8806	260	2.0422	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8902	4.1791	280	1.7415	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8912	4.4776	300	1.6433	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2828	4.7761	320	2.0079	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8677	5.0746	340	1.8849	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.8225	5.3731	360	1.9880	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1996	5.6716	380	2.1842	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2024	5.9701	400	1.9967	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0393	6.2687	420	2.0910	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9645	6.5672	440	2.0507	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1021	6.8657	460	2.2241	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3536	7.1642	480	2.2363	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0068	7.4627	500	2.9570	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0282	7.7612	520	3.1504	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6884	8.0597	540	2.4353	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4009	8.3582	560	3.0364	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9496	8.6567	580	2.3282	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0255	8.9552	600	2.4390	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3411	9.2537	620	2.5769	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.25	9.5522	640	2.2731	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8865	9.8507	660	2.6590	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7986	10.1493	680	2.9759	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0758	10.4478	700	2.2702	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5682	10.7463	720	2.6592	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8313	11.0448	740	3.3880	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5772	11.3433	760	2.7005	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6862	11.6418	780	1.7977	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.6078	11.9403	800	1.8028	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9849	12.2388	820	2.4883	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.771	12.5373	840	2.5716	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9437	12.8358	860	2.6662	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2988	13.1343	880	2.3805	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.8487	13.4328	900	2.6064	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3619	13.7313	920	2.3911	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3767	14.0299	940	3.3350	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7403	14.3284	960	3.1036	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8061	14.6269	980	1.9839	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2282	14.9254	1000	2.5396	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5754	15.2239	1020	1.8587	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8158	15.5224	1040	3.3336	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0088	15.8209	1060	3.1513	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3397	16.1194	1080	2.8316	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.7631	16.4179	1100	2.4768	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0452	16.7164	1120	2.8424	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9772	17.0149	1140	3.9672	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3045	17.3134	1160	4.5546	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0293	17.6119	1180	3.4293	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5724	17.9104	1200	4.5928	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0199	18.2090	1220	2.9900	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9731	18.5075	1240	4.1310	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9614	18.8060	1260	2.8302	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2746	19.1045	1280	3.8444	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0444	19.4030	1300	5.1386	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.739	19.7015	1320	2.9591	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0594	20.0	1340	2.7529	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9597	20.2985	1360	3.2046	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.6082	20.5970	1380	2.5472	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.184	20.8955	1400	3.0770	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0346	21.1940	1420	2.9609	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7076	21.4925	1440	3.1077	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0307	21.7910	1460	2.4109	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1247	22.0896	1480	2.7058	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9107	22.3881	1500	4.3463	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0111	22.6866	1520	2.9976	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0832	22.9851	1540	3.2976	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8658	23.2836	1560	2.9731	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9386	23.5821	1580	2.7851	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6616	23.8806	1600	2.5382	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9765	24.1791	1620	2.1383	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.969	24.4776	1640	2.7684	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
2.1766	24.7761	1660	2.6149	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9971	25.0746	1680	4.6482	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
2.2914	25.3731	1700	3.8963	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0836	25.6716	1720	3.5046	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7655	25.9701	1740	3.3171	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.868	26.2687	1760	3.2943	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7411	26.5672	1780	3.6005	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.9775	26.8657	1800	2.8778	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8672	27.1642	1820	2.5292	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1577	27.4627	1840	3.8280	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8479	27.7612	1860	3.5471	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.881	28.0597	1880	3.7431	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9385	28.3582	1900	3.5869	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2971	28.6567	1920	2.7375	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2303	28.9552	1940	3.6713	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9699	29.2537	1960	2.4395	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8671	29.5522	1980	3.1028	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0076	29.8507	2000	3.5161	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7909	30.1493	2020	4.3796	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1837	30.4478	2040	2.7862	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5759	30.7463	2060	2.8179	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7927	31.0448	2080	3.4587	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2955	31.3433	2100	3.1408	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7708	31.6418	2120	3.2162	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1063	31.9403	2140	2.7905	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0853	32.2388	2160	3.7610	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9048	32.5373	2180	3.6691	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0197	32.8358	2200	3.1485	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0042	33.1343	2220	3.8521	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4899	33.4328	2240	3.0607	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0598	33.7313	2260	2.6594	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.925	34.0299	2280	3.4368	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6856	34.3284	2300	3.6722	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8276	34.6269	2320	3.4916	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2194	34.9254	2340	3.4269	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9752	35.2239	2360	4.8328	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7491	35.5224	2380	3.9606	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7895	35.8209	2400	3.2722	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4545	36.1194	2420	4.2285	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8221	36.4179	2440	3.5089	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3155	36.7164	2460	3.3957	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7602	37.0149	2480	4.1085	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6705	37.3134	2500	4.2865	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8665	37.6119	2520	5.2654	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3346	37.9104	2540	3.6928	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4747	38.2090	2560	3.3960	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1337	38.5075	2580	2.4960	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6991	38.8060	2600	3.0104	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0407	39.1045	2620	3.6716	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5082	39.4030	2640	4.2041	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9125	39.7015	2660	4.1230	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7812	40.0	2680	5.3477	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1412	40.2985	2700	5.3522	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2524	40.5970	2720	4.1531	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0267	40.8955	2740	4.6200	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1253	41.1940	2760	3.7127	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.5402	41.4925	2780	3.3039	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0238	41.7910	2800	2.7775	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0301	42.0896	2820	3.5518	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7943	42.3881	2840	3.3262	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.9145	42.6866	2860	3.4038	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2789	42.9851	2880	3.2136	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.835	43.2836	2900	2.9866	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3526	43.5821	2920	3.5065	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4682	43.8806	2940	3.0570	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8672	44.1791	2960	3.6095	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7313	44.4776	2980	3.8543	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4581	44.7761	3000	3.1598	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0332	45.0746	3020	3.2690	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0583	45.3731	3040	3.6002	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0821	45.6716	3060	4.0475	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.6778	45.9701	3080	3.5043	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3686	46.2687	3100	4.7486	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.8318	46.5672	3120	2.6703	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
2.3429	46.8657	3140	3.1106	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2641	47.1642	3160	3.3560	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2585	47.4627	3180	4.3735	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7701	47.7612	3200	4.0472	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.1934	48.0597	3220	3.3104	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.2554	48.3582	3240	3.6087	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.7484	48.6567	3260	2.8164	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.3203	48.9552	3280	3.0736	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.0776	49.2537	3300	3.8040	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
1.4248	49.5522	3320	3.9336	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911
0.9014	49.8507	3340	3.1483	0.1382	0.2	0.6911	nan	0.0	0.0	0.0	0.0	1.0	nan	0.0	0.0	0.0	0.0	0.6911

Framework versions

Transformers 4.45.2
Pytorch 2.2.2
Datasets 2.19.1
Tokenizers 0.20.1

JaesonGu/segformer-b0-finetuned-segments-chargers-2-15

segformer-b0-finetuned-segments-chargers-2-15

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

JaesonGu/
segformer-b0-finetuned-segments-chargers-2-15