segformer-b0_DsC_B16

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

Loss: 0.0123
Mean Iou: 0.8008
Mean Accuracy: 0.9719
Overall Accuracy: 0.9941
Accuracy Background: nan
Accuracy Haz: 0.9963
Accuracy Matrix: 0.9921
Accuracy Porosity: 0.8969
Accuracy Carbides: 0.9767
Accuracy Substrate: 0.9973
Iou Background: 0.0
Iou Haz: 0.9936
Iou Matrix: 0.9826
Iou Porosity: 0.8771
Iou Carbides: 0.9568
Iou Substrate: 0.9944

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Background	Accuracy Haz	Accuracy Matrix	Accuracy Porosity	Accuracy Carbides	Accuracy Substrate	Iou Haz	Iou Matrix	Iou Porosity	Iou Carbides	Iou Substrate
0.9592	1.0	19	1.1352	0.5279	0.6895	0.9176	nan	0.8991	0.9573	0.0074	0.6006	0.9831	0.8862	0.8315	0.0047	0.5461	0.8990
0.6596	2.0	38	0.4566	0.5770	0.7351	0.9515	nan	0.9747	0.9505	0.0	0.7795	0.9707	0.9446	0.8778	0.0	0.6909	0.9485
1.0845	3.0	57	0.2420	0.5900	0.7455	0.9589	nan	0.9601	0.9627	0.0	0.8141	0.9906	0.9509	0.8974	0.0	0.7358	0.9558
0.6313	4.0	76	0.2220	0.5986	0.7532	0.9614	nan	0.9889	0.9693	0.0	0.8496	0.9580	0.9481	0.9136	0.0	0.7792	0.9505
0.6865	5.0	95	0.1943	0.6118	0.7701	0.9703	nan	0.9790	0.9473	0.0	0.9373	0.9870	0.9675	0.9199	0.0	0.8127	0.9704
0.2682	6.0	114	0.1628	0.6205	0.7719	0.9726	nan	0.9895	0.9726	0.0	0.9273	0.9700	0.9607	0.9414	0.0	0.8575	0.9631
0.2774	7.0	133	0.1372	0.6276	0.7760	0.9770	nan	0.9813	0.9775	0.0	0.9357	0.9853	0.9675	0.9501	0.0	0.8780	0.9701
0.1942	8.0	152	0.1181	0.6268	0.7706	0.9782	nan	0.9841	0.9910	0.0	0.8901	0.9878	0.9722	0.9473	0.0	0.8665	0.9751
0.4398	9.0	171	0.0991	0.6313	0.7811	0.9790	nan	0.9871	0.9676	0.0	0.9655	0.9850	0.9732	0.9510	0.0	0.8889	0.9750
0.2211	10.0	190	0.0961	0.6327	0.7771	0.9803	nan	0.9823	0.9875	0.0	0.9259	0.9899	0.9723	0.9565	0.0	0.8923	0.9750
0.2398	11.0	209	0.0940	0.6331	0.7825	0.9801	nan	0.9790	0.9710	0.0	0.9692	0.9930	0.9730	0.9552	0.0	0.8955	0.9751
0.6184	12.0	228	0.0854	0.6331	0.7811	0.9790	nan	0.9931	0.9794	0.0	0.9595	0.9735	0.9667	0.9596	0.0	0.9030	0.9691
0.1529	13.0	247	0.0744	0.6368	0.7834	0.9823	nan	0.9808	0.9793	0.0	0.9630	0.9937	0.9753	0.9608	0.0	0.9073	0.9777
0.233	14.0	266	0.0664	0.6381	0.7827	0.9834	nan	0.9911	0.9832	0.0	0.9522	0.9869	0.9776	0.9621	0.0	0.9092	0.9797
0.1534	15.0	285	0.0623	0.6441	0.7890	0.9843	nan	0.9905	0.9836	0.0272	0.9549	0.9889	0.9795	0.9637	0.0272	0.9129	0.9812
0.1025	16.0	304	0.0588	0.6407	0.7847	0.9840	nan	0.9860	0.9873	0.0078	0.9511	0.9911	0.9782	0.9655	0.0078	0.9134	0.9795
0.2841	17.0	323	0.0542	0.6531	0.7993	0.9845	nan	0.9899	0.9852	0.0773	0.9549	0.9891	0.9797	0.9653	0.0773	0.9153	0.9813
0.0886	18.0	342	0.0539	0.6599	0.8092	0.9844	nan	0.9869	0.9791	0.1185	0.9696	0.9920	0.9781	0.9656	0.1185	0.9164	0.9805
0.4322	19.0	361	0.0579	0.6677	0.8173	0.9821	nan	0.9724	0.9879	0.1772	0.9509	0.9979	0.9709	0.9673	0.1772	0.9174	0.9734
0.5198	20.0	380	0.0572	0.6765	0.8310	0.9818	nan	0.9692	0.9813	0.2310	0.9744	0.9990	0.9680	0.9685	0.2310	0.9200	0.9714
0.1454	21.0	399	0.0445	0.7035	0.8615	0.9862	nan	0.9894	0.9764	0.3691	0.9793	0.9931	0.9822	0.9659	0.3689	0.9196	0.9841
0.2644	22.0	418	0.0437	0.7151	0.8707	0.9874	nan	0.9898	0.9900	0.4291	0.9510	0.9936	0.9828	0.9696	0.4289	0.9240	0.9850
0.0773	23.0	437	0.0400	0.7314	0.8909	0.9877	nan	0.9923	0.9860	0.5197	0.9655	0.9909	0.9829	0.9709	0.5191	0.9306	0.9847
0.0976	24.0	456	0.0388	0.7298	0.8884	0.9883	nan	0.9883	0.9882	0.5059	0.9641	0.9954	0.9841	0.9723	0.5055	0.9314	0.9857
0.2225	25.0	475	0.0385	0.7382	0.8976	0.9867	nan	0.9925	0.9935	0.5711	0.9429	0.9880	0.9812	0.9700	0.5701	0.9251	0.9828
0.1444	26.0	494	0.0358	0.7416	0.9042	0.9885	nan	0.9870	0.9832	0.5761	0.9775	0.9973	0.9844	0.9727	0.5740	0.9323	0.9862
0.1523	27.0	513	0.0361	0.7426	0.9033	0.9884	nan	0.9866	0.9891	0.5784	0.9665	0.9961	0.9831	0.9738	0.5775	0.9360	0.9851
0.2248	28.0	532	0.0312	0.7584	0.9235	0.9892	nan	0.9942	0.9846	0.6709	0.9763	0.9913	0.9850	0.9739	0.6677	0.9373	0.9867
0.1085	29.0	551	0.0315	0.7541	0.9187	0.9888	nan	0.9941	0.9854	0.6484	0.9758	0.9900	0.9838	0.9748	0.6431	0.9373	0.9854
0.0506	30.0	570	0.0305	0.7490	0.9159	0.9890	nan	0.9921	0.9775	0.6277	0.9877	0.9948	0.9867	0.9712	0.6223	0.9258	0.9883
0.2107	31.0	589	0.0297	0.7535	0.9163	0.9898	nan	0.9896	0.9888	0.6356	0.9715	0.9960	0.9857	0.9763	0.6319	0.9400	0.9875
0.0624	32.0	608	0.0288	0.7546	0.9168	0.9899	nan	0.9886	0.9929	0.6460	0.9592	0.9973	0.9858	0.9760	0.6397	0.9383	0.9876
0.3423	33.0	627	0.0271	0.7683	0.9341	0.9901	nan	0.9913	0.9883	0.7248	0.9709	0.9954	0.9862	0.9763	0.7168	0.9424	0.9879
0.0587	34.0	646	0.0272	0.7592	0.9233	0.9908	nan	0.9928	0.9899	0.6688	0.9701	0.9952	0.9875	0.9771	0.6593	0.9418	0.9893
0.107	35.0	665	0.0293	0.7752	0.9481	0.9888	nan	0.9956	0.9812	0.7905	0.9849	0.9884	0.9835	0.9743	0.7711	0.9373	0.9851
0.4697	36.0	684	0.0268	0.7643	0.9283	0.9898	nan	0.9866	0.9913	0.6978	0.9681	0.9978	0.9842	0.9776	0.6944	0.9435	0.9862
0.0333	37.0	703	0.0253	0.7706	0.9376	0.9905	nan	0.9926	0.9874	0.7368	0.9771	0.9943	0.9870	0.9773	0.7280	0.9431	0.9882
0.2468	38.0	722	0.0401	0.7637	0.9333	0.9840	nan	0.9979	0.9846	0.7311	0.9811	0.9718	0.9695	0.9764	0.7240	0.9416	0.9706
0.0528	39.0	741	0.0244	0.7720	0.9366	0.9904	nan	0.9919	0.9928	0.7432	0.9602	0.9949	0.9865	0.9769	0.7391	0.9416	0.9882
0.0435	40.0	760	0.0242	0.7721	0.9369	0.9910	nan	0.9924	0.9913	0.7386	0.9664	0.9959	0.9876	0.9780	0.7330	0.9444	0.9894
0.0396	41.0	779	0.0228	0.7764	0.9432	0.9912	nan	0.9927	0.9895	0.7639	0.9745	0.9953	0.9880	0.9783	0.7569	0.9456	0.9896
0.0609	42.0	798	0.0224	0.7795	0.9461	0.9912	nan	0.9943	0.9924	0.7863	0.9633	0.9944	0.9884	0.9777	0.7768	0.9443	0.9899
0.1537	43.0	817	0.0220	0.7763	0.9422	0.9912	nan	0.9947	0.9912	0.7611	0.9709	0.9932	0.9876	0.9788	0.7554	0.9471	0.9892
0.0543	44.0	836	0.0234	0.7761	0.9438	0.9908	nan	0.9914	0.9882	0.7658	0.9779	0.9955	0.9868	0.9782	0.7569	0.9460	0.9886
0.1062	45.0	855	0.0222	0.7748	0.9406	0.9910	nan	0.9894	0.9921	0.7564	0.9672	0.9979	0.9876	0.9784	0.7478	0.9459	0.9891
0.1641	46.0	874	0.0204	0.7754	0.9419	0.9915	nan	0.9942	0.9894	0.7549	0.9767	0.9943	0.9885	0.9788	0.7482	0.9471	0.9899
0.2893	47.0	893	0.0228	0.7805	0.9502	0.9904	nan	0.9971	0.9874	0.7975	0.9800	0.9888	0.9856	0.9788	0.7853	0.9469	0.9868
0.2835	48.0	912	0.0211	0.7853	0.9539	0.9917	nan	0.9950	0.9913	0.8203	0.9684	0.9944	0.9887	0.9792	0.8058	0.9482	0.9901
0.086	49.0	931	0.0201	0.7796	0.9451	0.9918	nan	0.9956	0.9927	0.7778	0.9655	0.9940	0.9893	0.9787	0.7721	0.9467	0.9907
0.5278	50.0	950	0.0200	0.7785	0.9463	0.9919	nan	0.9951	0.9864	0.7729	0.9822	0.9950	0.9895	0.9786	0.7657	0.9460	0.9910
0.0825	51.0	969	0.0204	0.7835	0.9505	0.9915	nan	0.9903	0.9939	0.8089	0.9607	0.9987	0.9887	0.9786	0.7979	0.9455	0.9901
0.0361	52.0	988	0.0216	0.7825	0.9494	0.9908	nan	0.9970	0.9934	0.8019	0.9653	0.9896	0.9864	0.9793	0.7941	0.9476	0.9877
0.2063	53.0	1007	0.0225	0.7858	0.9563	0.9904	nan	0.9963	0.9904	0.8318	0.9744	0.9887	0.9847	0.9799	0.8143	0.9497	0.9860
0.173	54.0	1026	0.0206	0.7880	0.9564	0.9913	nan	0.9892	0.9935	0.8366	0.9639	0.9987	0.9876	0.9792	0.8243	0.9477	0.9891
1.5351	55.0	1045	0.0174	0.7847	0.9517	0.9923	nan	0.9941	0.9922	0.8059	0.9701	0.9961	0.9903	0.9790	0.7978	0.9488	0.9920
0.0676	56.0	1064	0.0183	0.7856	0.9550	0.9923	nan	0.9937	0.9887	0.8167	0.9792	0.9966	0.9903	0.9797	0.8030	0.9488	0.9918
0.0304	57.0	1083	0.0182	0.7799	0.9462	0.9923	nan	0.9948	0.9895	0.7733	0.9774	0.9957	0.9903	0.9798	0.7684	0.9494	0.9915
0.0161	58.0	1102	0.0191	0.7767	0.9424	0.9916	nan	0.9892	0.9917	0.7600	0.9723	0.9989	0.9879	0.9802	0.7534	0.9495	0.9894
0.0523	59.0	1121	0.0174	0.7857	0.9538	0.9928	nan	0.9955	0.9895	0.8099	0.9783	0.9960	0.9912	0.9803	0.8002	0.9501	0.9925
0.1606	60.0	1140	0.0199	0.7879	0.9589	0.9916	nan	0.9920	0.9890	0.8392	0.9782	0.9963	0.9879	0.9802	0.8199	0.9502	0.9893
0.3302	61.0	1159	0.0179	0.7855	0.9529	0.9925	nan	0.9965	0.9909	0.8081	0.9750	0.9942	0.9902	0.9805	0.7999	0.9505	0.9916
0.1347	62.0	1178	0.0168	0.7932	0.9654	0.9929	nan	0.9941	0.9887	0.8673	0.9793	0.9977	0.9914	0.9803	0.8436	0.9509	0.9927
0.0289	63.0	1197	0.0171	0.7870	0.9557	0.9927	nan	0.9948	0.9893	0.8188	0.9792	0.9963	0.9909	0.9802	0.8082	0.9500	0.9924
0.0901	64.0	1216	0.0171	0.7873	0.9549	0.9927	nan	0.9934	0.9927	0.8216	0.9689	0.9979	0.9911	0.9802	0.8103	0.9496	0.9925
0.0294	65.0	1235	0.0170	0.7899	0.9613	0.9926	nan	0.9963	0.9868	0.8449	0.9834	0.9952	0.9911	0.9797	0.8278	0.9486	0.9924
0.0518	66.0	1254	0.0162	0.7935	0.9637	0.9930	nan	0.9955	0.9901	0.8599	0.9766	0.9964	0.9922	0.9804	0.8435	0.9518	0.9929
0.0626	67.0	1273	0.0173	0.7913	0.9601	0.9925	nan	0.9977	0.9903	0.8428	0.9769	0.9927	0.9902	0.9807	0.8334	0.9523	0.9911
0.1084	68.0	1292	0.0157	0.7906	0.9586	0.9932	nan	0.9946	0.9920	0.8355	0.9734	0.9974	0.9921	0.9807	0.8253	0.9522	0.9931
0.0448	69.0	1311	0.0161	0.7917	0.9617	0.9930	nan	0.9966	0.9883	0.8466	0.9815	0.9953	0.9919	0.9802	0.8341	0.9512	0.9928
0.0306	70.0	1330	0.0158	0.7928	0.9615	0.9932	nan	0.9960	0.9917	0.8496	0.9738	0.9961	0.9920	0.9808	0.8385	0.9525	0.9931
0.274	71.0	1349	0.0156	0.7955	0.9666	0.9933	nan	0.9975	0.9889	0.8711	0.9803	0.9953	0.9922	0.9808	0.8539	0.9526	0.9933
0.2049	72.0	1368	0.0157	0.7926	0.9634	0.9930	nan	0.9934	0.9875	0.8539	0.9836	0.9985	0.9917	0.9801	0.8403	0.9508	0.9929
0.1866	73.0	1387	0.0152	0.7939	0.9627	0.9931	nan	0.9972	0.9925	0.8571	0.9721	0.9945	0.9916	0.9810	0.8453	0.9528	0.9926
0.0366	74.0	1406	0.0161	0.7944	0.9639	0.9928	nan	0.9975	0.9907	0.8614	0.9764	0.9935	0.9910	0.9812	0.8491	0.9533	0.9917
0.0301	75.0	1425	0.0157	0.7958	0.9667	0.9931	nan	0.9931	0.9903	0.8738	0.9778	0.9985	0.9915	0.9811	0.8570	0.9529	0.9926
0.4325	76.0	1444	0.0155	0.7945	0.9639	0.9931	nan	0.9953	0.9925	0.8625	0.9727	0.9964	0.9915	0.9811	0.8490	0.9528	0.9928
0.3102	77.0	1463	0.0148	0.7972	0.9697	0.9932	nan	0.9952	0.9912	0.8898	0.9753	0.9969	0.9920	0.9811	0.8638	0.9532	0.9931
0.0254	78.0	1482	0.0152	0.7966	0.9679	0.9934	nan	0.9949	0.9911	0.8798	0.9765	0.9973	0.9921	0.9814	0.8592	0.9535	0.9932
0.444	79.0	1501	0.0154	0.7937	0.9616	0.9931	nan	0.9949	0.9938	0.8547	0.9678	0.9970	0.9920	0.9806	0.8446	0.9518	0.9932
0.0376	80.0	1520	0.0163	0.7958	0.9668	0.9926	nan	0.9971	0.9904	0.8750	0.9786	0.9931	0.9903	0.9811	0.8583	0.9535	0.9914
0.1376	81.0	1539	0.0155	0.7942	0.9631	0.9930	nan	0.9921	0.9919	0.8577	0.9749	0.9989	0.9908	0.9816	0.8466	0.9539	0.9920
0.1921	82.0	1558	0.0141	0.7975	0.9681	0.9936	nan	0.9961	0.9914	0.8807	0.9758	0.9968	0.9929	0.9815	0.8624	0.9543	0.9937
0.0352	83.0	1577	0.0148	0.7987	0.9711	0.9934	nan	0.9966	0.9905	0.8947	0.9776	0.9960	0.9923	0.9816	0.8709	0.9543	0.9932
0.0357	84.0	1596	0.0143	0.7980	0.9691	0.9936	nan	0.9955	0.9915	0.8852	0.9758	0.9975	0.9928	0.9815	0.8652	0.9543	0.9939
0.7433	85.0	1615	0.0159	0.7948	0.9636	0.9925	nan	0.9915	0.9946	0.8692	0.9636	0.9991	0.9905	0.9802	0.8562	0.9502	0.9918
0.0325	86.0	1634	0.0144	0.7977	0.9695	0.9935	nan	0.9965	0.9891	0.8842	0.9812	0.9964	0.9926	0.9814	0.8650	0.9536	0.9935
0.082	87.0	1653	0.0150	0.7941	0.9621	0.9930	nan	0.9926	0.9932	0.8561	0.9701	0.9987	0.9913	0.9812	0.8467	0.9533	0.9923
0.0379	88.0	1672	0.0140	0.7972	0.9671	0.9937	nan	0.9957	0.9913	0.8740	0.9770	0.9974	0.9930	0.9817	0.8601	0.9546	0.9940
0.0485	89.0	1691	0.0146	0.7969	0.9662	0.9933	nan	0.9970	0.9939	0.8766	0.9680	0.9954	0.9922	0.9813	0.8620	0.9528	0.9931
0.0128	90.0	1710	0.0143	0.7965	0.9654	0.9936	nan	0.9963	0.9940	0.8715	0.9684	0.9967	0.9928	0.9812	0.8581	0.9526	0.9940
0.0565	91.0	1729	0.0139	0.7990	0.9723	0.9937	nan	0.9951	0.9892	0.8976	0.9813	0.9980	0.9929	0.9815	0.8720	0.9539	0.9939
0.0587	92.0	1748	0.0141	0.7979	0.9692	0.9936	nan	0.9956	0.9906	0.8839	0.9786	0.9973	0.9927	0.9817	0.8650	0.9542	0.9938
0.0776	93.0	1767	0.0146	0.7955	0.9646	0.9935	nan	0.9944	0.9921	0.8631	0.9756	0.9979	0.9921	0.9819	0.8514	0.9544	0.9933
0.0575	94.0	1786	0.0138	0.7983	0.9697	0.9936	nan	0.9970	0.9911	0.8874	0.9768	0.9960	0.9926	0.9820	0.8670	0.9551	0.9935
0.0412	95.0	1805	0.0139	0.7994	0.9723	0.9935	nan	0.9962	0.9895	0.8988	0.9806	0.9966	0.9926	0.9815	0.8741	0.9546	0.9936
0.0478	96.0	1824	0.0140	0.7955	0.9645	0.9936	nan	0.9943	0.9911	0.8607	0.9782	0.9982	0.9924	0.9817	0.8504	0.9547	0.9935
0.1388	97.0	1843	0.0144	0.7978	0.9678	0.9934	nan	0.9966	0.9935	0.8829	0.9700	0.9958	0.9921	0.9817	0.8661	0.9540	0.9931
0.0231	98.0	1862	0.0137	0.7990	0.9699	0.9937	nan	0.9959	0.9920	0.8892	0.9755	0.9970	0.9927	0.9822	0.8696	0.9556	0.9937
0.2178	99.0	1881	0.0145	0.8003	0.9739	0.9932	nan	0.9977	0.9907	0.9097	0.9774	0.9941	0.9916	0.9818	0.8805	0.9556	0.9924
0.0192	100.0	1900	0.0138	0.7988	0.9694	0.9937	nan	0.9962	0.9912	0.8853	0.9775	0.9968	0.9927	0.9821	0.8690	0.9551	0.9937
0.0319	101.0	1919	0.0137	0.7995	0.9707	0.9937	nan	0.9959	0.9921	0.8941	0.9744	0.9971	0.9927	0.9821	0.8731	0.9552	0.9936
0.0105	102.0	1938	0.0138	0.7976	0.9671	0.9936	nan	0.9956	0.9924	0.8750	0.9754	0.9969	0.9926	0.9820	0.8624	0.9552	0.9936
0.1614	103.0	1957	0.0136	0.7989	0.9694	0.9936	nan	0.9952	0.9919	0.8864	0.9762	0.9974	0.9927	0.9821	0.8695	0.9554	0.9936
0.0102	104.0	1976	0.0138	0.7970	0.9660	0.9937	nan	0.9946	0.9917	0.8684	0.9773	0.9982	0.9927	0.9822	0.8579	0.9556	0.9937
0.0354	105.0	1995	0.0136	0.8001	0.9718	0.9938	nan	0.9955	0.9917	0.8975	0.9767	0.9976	0.9929	0.9823	0.8756	0.9557	0.9939
0.53	106.0	2014	0.0131	0.7990	0.9691	0.9939	nan	0.9959	0.9924	0.8847	0.9751	0.9972	0.9930	0.9822	0.8689	0.9557	0.9940
0.0911	107.0	2033	0.0134	0.7983	0.9678	0.9939	nan	0.9952	0.9921	0.8775	0.9765	0.9980	0.9930	0.9823	0.8643	0.9559	0.9940
0.0158	108.0	2052	0.0138	0.7996	0.9711	0.9938	nan	0.9949	0.9908	0.8928	0.9789	0.9981	0.9927	0.9823	0.8733	0.9558	0.9937
0.0683	109.0	2071	0.0137	0.7993	0.9705	0.9938	nan	0.9948	0.9908	0.8894	0.9797	0.9980	0.9926	0.9823	0.8714	0.9558	0.9936
0.0615	110.0	2090	0.0135	0.7991	0.9692	0.9938	nan	0.9946	0.9927	0.8862	0.9743	0.9982	0.9927	0.9824	0.8704	0.9557	0.9937
0.0172	111.0	2109	0.0138	0.8005	0.9734	0.9937	nan	0.9971	0.9909	0.9046	0.9791	0.9955	0.9924	0.9824	0.8789	0.9559	0.9933
0.0544	112.0	2128	0.0135	0.8000	0.9725	0.9937	nan	0.9943	0.9903	0.8993	0.9803	0.9984	0.9927	0.9822	0.8757	0.9556	0.9936
0.0921	113.0	2147	0.0145	0.7988	0.9698	0.9933	nan	0.9925	0.9917	0.8884	0.9775	0.9989	0.9914	0.9822	0.8711	0.9557	0.9926
0.0089	114.0	2166	0.0134	0.7994	0.9710	0.9938	nan	0.9961	0.9914	0.8925	0.9781	0.9967	0.9928	0.9822	0.8721	0.9558	0.9937
0.0973	115.0	2185	0.0135	0.8001	0.9723	0.9939	nan	0.9956	0.9908	0.8983	0.9792	0.9978	0.9930	0.9824	0.8749	0.9560	0.9940
0.3588	116.0	2204	0.0130	0.8010	0.9742	0.9940	nan	0.9962	0.9908	0.9073	0.9792	0.9973	0.9932	0.9825	0.8799	0.9563	0.9941
0.0088	117.0	2223	0.0131	0.8008	0.9730	0.9939	nan	0.9957	0.9918	0.9034	0.9764	0.9976	0.9930	0.9825	0.8789	0.9563	0.9939
0.031	118.0	2242	0.0134	0.8005	0.9725	0.9937	nan	0.9969	0.9916	0.9013	0.9770	0.9959	0.9927	0.9823	0.8780	0.9563	0.9935
0.0388	119.0	2261	0.0133	0.8006	0.9729	0.9939	nan	0.9954	0.9911	0.9020	0.9781	0.9979	0.9929	0.9825	0.8781	0.9562	0.9938
0.0837	120.0	2280	0.0134	0.7990	0.9691	0.9938	nan	0.9946	0.9921	0.8838	0.9769	0.9981	0.9926	0.9824	0.8692	0.9563	0.9937
0.2868	121.0	2299	0.0135	0.7999	0.9712	0.9936	nan	0.9936	0.9924	0.8955	0.9758	0.9986	0.9922	0.9823	0.8753	0.9562	0.9933
0.0971	122.0	2318	0.0130	0.8011	0.9739	0.9941	nan	0.9957	0.9922	0.9084	0.9755	0.9979	0.9933	0.9826	0.8804	0.9563	0.9942
0.0317	123.0	2337	0.0132	0.8006	0.9731	0.9938	nan	0.9942	0.9910	0.9027	0.9788	0.9987	0.9927	0.9823	0.8786	0.9562	0.9937
0.0697	124.0	2356	0.0129	0.8004	0.9719	0.9939	nan	0.9971	0.9906	0.8955	0.9797	0.9964	0.9932	0.9824	0.8762	0.9563	0.9941
0.0458	125.0	2375	0.0133	0.7986	0.9683	0.9939	nan	0.9947	0.9914	0.8787	0.9784	0.9984	0.9929	0.9823	0.8662	0.9560	0.9939
0.034	126.0	2394	0.0128	0.7996	0.9697	0.9940	nan	0.9965	0.9917	0.8859	0.9771	0.9971	0.9934	0.9825	0.8710	0.9563	0.9943
0.211	127.0	2413	0.0130	0.8004	0.9722	0.9938	nan	0.9971	0.9906	0.8977	0.9796	0.9962	0.9930	0.9824	0.8769	0.9564	0.9938
0.1212	128.0	2432	0.0124	0.8012	0.9733	0.9941	nan	0.9969	0.9915	0.9033	0.9776	0.9969	0.9936	0.9827	0.8794	0.9567	0.9944
0.1545	129.0	2451	0.0125	0.8004	0.9712	0.9942	nan	0.9964	0.9923	0.8934	0.9762	0.9975	0.9937	0.9827	0.8749	0.9566	0.9946
0.0171	130.0	2470	0.0127	0.8007	0.9724	0.9942	nan	0.9960	0.9909	0.8973	0.9799	0.9979	0.9937	0.9827	0.8763	0.9567	0.9946
0.2451	131.0	2489	0.0128	0.7995	0.9694	0.9940	nan	0.9950	0.9928	0.8856	0.9752	0.9983	0.9933	0.9826	0.8707	0.9562	0.9943
0.0321	132.0	2508	0.0125	0.8007	0.9723	0.9941	nan	0.9962	0.9914	0.8980	0.9785	0.9976	0.9937	0.9826	0.8768	0.9567	0.9945
0.1537	133.0	2527	0.0129	0.8002	0.9708	0.9940	nan	0.9944	0.9925	0.8923	0.9762	0.9987	0.9930	0.9827	0.8745	0.9566	0.9941
0.1573	134.0	2546	0.0126	0.8017	0.9750	0.9941	nan	0.9956	0.9903	0.9097	0.9809	0.9983	0.9936	0.9826	0.8828	0.9566	0.9945
0.0336	135.0	2565	0.0124	0.8009	0.9724	0.9942	nan	0.9966	0.9915	0.8985	0.9777	0.9975	0.9938	0.9827	0.8777	0.9568	0.9946
0.1077	136.0	2584	0.0125	0.8006	0.9728	0.9941	nan	0.9963	0.9896	0.8982	0.9823	0.9977	0.9938	0.9824	0.8765	0.9561	0.9946
0.0753	137.0	2603	0.0124	0.8006	0.9716	0.9942	nan	0.9964	0.9916	0.8943	0.9782	0.9975	0.9937	0.9828	0.8756	0.9569	0.9945
0.0892	138.0	2622	0.0126	0.8006	0.9730	0.9941	nan	0.9955	0.9899	0.8992	0.9823	0.9982	0.9935	0.9825	0.8772	0.9563	0.9944
0.0541	139.0	2641	0.0125	0.8004	0.9708	0.9941	nan	0.9958	0.9932	0.8936	0.9737	0.9978	0.9935	0.9826	0.8752	0.9564	0.9945
0.0121	140.0	2660	0.0125	0.8006	0.9715	0.9941	nan	0.9965	0.9920	0.8950	0.9771	0.9972	0.9935	0.9827	0.8762	0.9568	0.9944
0.0283	141.0	2679	0.0125	0.8015	0.9740	0.9941	nan	0.9965	0.9916	0.9068	0.9776	0.9972	0.9935	0.9827	0.8818	0.9568	0.9944
0.109	142.0	2698	0.0124	0.8008	0.9719	0.9941	nan	0.9968	0.9922	0.8970	0.9762	0.9970	0.9935	0.9828	0.8776	0.9568	0.9944
0.2035	143.0	2717	0.0124	0.8003	0.9710	0.9941	nan	0.9968	0.9919	0.8921	0.9773	0.9968	0.9935	0.9827	0.8746	0.9568	0.9943
2.6496	144.0	2736	0.0122	0.8002	0.9707	0.9940	nan	0.9969	0.9919	0.8910	0.9772	0.9966	0.9934	0.9826	0.8738	0.9568	0.9942
0.0189	145.0	2755	0.0124	0.8011	0.9722	0.9942	nan	0.9963	0.9921	0.8984	0.9765	0.9975	0.9936	0.9827	0.8787	0.9568	0.9945
0.2368	146.0	2774	0.0123	0.8009	0.9719	0.9941	nan	0.9967	0.9920	0.8970	0.9770	0.9970	0.9936	0.9827	0.8775	0.9569	0.9944
0.0255	147.0	2793	0.0126	0.8015	0.9737	0.9941	nan	0.9956	0.9916	0.9051	0.9779	0.9980	0.9935	0.9827	0.8812	0.9569	0.9944
0.0416	148.0	2812	0.0124	0.8012	0.9727	0.9942	nan	0.9965	0.9925	0.9014	0.9755	0.9974	0.9937	0.9827	0.8793	0.9568	0.9945
0.016	149.0	2831	0.0125	0.8006	0.9716	0.9941	nan	0.9963	0.9917	0.8944	0.9782	0.9974	0.9936	0.9827	0.8757	0.9569	0.9945
0.4296	150.0	2850	0.0123	0.8008	0.9719	0.9941	nan	0.9963	0.9921	0.8969	0.9767	0.9973	0.9936	0.9826	0.8771	0.9568	0.9944

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

segformer-b0_DsC_B16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js