segformer-b2_DsD

This model is a fine-tuned version of nvidia/mit-b2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0077
Mean Iou: 0.8219
Mean Accuracy: 0.9934
Overall Accuracy: 0.9969
Accuracy Background: nan
Accuracy Haz: 0.9967
Accuracy Matrix: 0.9898
Accuracy Porosity: 0.9868
Accuracy Carbides: 0.9941
Accuracy Substrate: 0.9996
Iou Background: 0.0
Iou Haz: 0.9957
Iou Matrix: 0.9860
Iou Porosity: 0.9727
Iou Carbides: 0.9795
Iou Substrate: 0.9975

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: 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
1.7382	1.0	69	0.0956	0.6050	0.7670	0.9641	nan	0.9830	0.9176	0.0	0.9629	0.9713	0.9407	0.8945	0.0	0.8331	0.9615
0.2593	2.0	138	0.0692	0.6552	0.8069	0.9754	nan	0.9599	0.9813	0.1827	0.9110	0.9998	0.9582	0.9281	0.1827	0.8861	0.9759
1.0837	3.0	207	0.0474	0.7682	0.9400	0.9833	nan	0.9721	0.9809	0.8030	0.9448	0.9990	0.9705	0.9362	0.8025	0.9151	0.9849
0.9587	4.0	276	0.0313	0.7774	0.9489	0.9864	nan	0.9933	0.9874	0.8536	0.9158	0.9941	0.9824	0.9392	0.8495	0.9036	0.9899
1.3281	5.0	345	0.0428	0.7866	0.9594	0.9845	nan	0.9708	0.9849	0.8903	0.9516	0.9995	0.9700	0.9524	0.8864	0.9288	0.9821
0.1279	6.0	414	0.0311	0.7898	0.9617	0.9873	nan	0.9810	0.9805	0.8844	0.9647	0.9978	0.9771	0.9574	0.8819	0.9361	0.9861
0.1174	7.0	483	0.0208	0.7975	0.9728	0.9901	nan	0.9951	0.9669	0.9228	0.9843	0.9947	0.9866	0.9560	0.9160	0.9344	0.9920
2.8779	8.0	552	0.0396	0.7601	0.9303	0.9839	nan	0.9940	0.9981	0.7929	0.8736	0.9929	0.9825	0.9242	0.7927	0.8712	0.9897
0.067	9.0	621	0.0200	0.7970	0.9682	0.9909	nan	0.9897	0.9887	0.9067	0.9573	0.9984	0.9872	0.9594	0.9028	0.9395	0.9929
0.7338	10.0	690	0.0201	0.8025	0.9761	0.9901	nan	0.9948	0.9880	0.9509	0.9527	0.9940	0.9854	0.9603	0.9398	0.9383	0.9914
0.6149	11.0	759	0.0178	0.7980	0.9689	0.9912	nan	0.9927	0.9882	0.9094	0.9566	0.9975	0.9882	0.9615	0.9044	0.9406	0.9932
1.4777	12.0	828	0.0235	0.7938	0.9652	0.9893	nan	0.9915	0.9957	0.9209	0.9196	0.9982	0.9885	0.9480	0.9182	0.9150	0.9934
0.1311	13.0	897	0.0198	0.8021	0.9734	0.9915	nan	0.9888	0.9900	0.9278	0.9615	0.9991	0.9873	0.9635	0.9222	0.9464	0.9930
0.0892	14.0	966	0.0234	0.8053	0.9783	0.9908	nan	0.9866	0.9837	0.9515	0.9703	0.9993	0.9849	0.9656	0.9418	0.9484	0.9911
0.0694	15.0	1035	0.0319	0.7995	0.9741	0.9881	nan	0.9804	0.9701	0.9330	0.9884	0.9985	0.9777	0.9614	0.9287	0.9426	0.9863
0.3986	16.0	1104	0.0243	0.7960	0.9665	0.9913	nan	0.9870	0.9794	0.8830	0.9835	0.9995	0.9857	0.9673	0.8804	0.9510	0.9916
0.0907	17.0	1173	0.0184	0.8029	0.9736	0.9919	nan	0.9918	0.9936	0.9342	0.9496	0.9989	0.9900	0.9625	0.9296	0.9410	0.9942
0.3492	18.0	1242	0.0170	0.8079	0.9816	0.9922	nan	0.9911	0.9790	0.9558	0.9837	0.9982	0.9883	0.9677	0.9462	0.9521	0.9930
0.4054	19.0	1311	0.0170	0.8081	0.9804	0.9925	nan	0.9926	0.9850	0.9528	0.9734	0.9980	0.9888	0.9689	0.9441	0.9535	0.9934
0.3024	20.0	1380	0.0196	0.8027	0.9728	0.9918	nan	0.9879	0.9892	0.9179	0.9694	0.9994	0.9868	0.9687	0.9159	0.9529	0.9920
0.086	21.0	1449	0.0200	0.8083	0.9806	0.9928	nan	0.9914	0.9805	0.9471	0.9850	0.9988	0.9892	0.9701	0.9419	0.9552	0.9936
1.1085	22.0	1518	0.0298	0.8070	0.9801	0.9904	nan	0.9819	0.9844	0.9550	0.9794	0.9997	0.9814	0.9699	0.9472	0.9551	0.9887
0.1183	23.0	1587	0.0173	0.8102	0.9838	0.9926	nan	0.9897	0.9878	0.9703	0.9713	0.9996	0.9888	0.9699	0.9553	0.9539	0.9934
0.0161	24.0	1656	0.0194	0.8062	0.9804	0.9918	nan	0.9901	0.9703	0.9496	0.9925	0.9993	0.9886	0.9645	0.9442	0.9469	0.9931
0.2528	25.0	1725	0.0185	0.8093	0.9814	0.9925	nan	0.9887	0.9843	0.9544	0.9800	0.9995	0.9877	0.9712	0.9474	0.9569	0.9926
0.2105	26.0	1794	0.0257	0.8056	0.9763	0.9913	nan	0.9858	0.9915	0.9394	0.9653	0.9996	0.9850	0.9695	0.9351	0.9531	0.9908
0.2236	27.0	1863	0.0128	0.8119	0.9837	0.9941	nan	0.9954	0.9856	0.9606	0.9788	0.9984	0.9924	0.9723	0.9530	0.9583	0.9957
0.8065	28.0	1932	0.0154	0.8092	0.9804	0.9937	nan	0.9934	0.9891	0.9491	0.9711	0.9993	0.9921	0.9706	0.9417	0.9553	0.9955
1.3333	29.0	2001	0.0337	0.8060	0.9779	0.9894	nan	0.9780	0.9864	0.9471	0.9782	0.9998	0.9775	0.9717	0.9419	0.9585	0.9863
0.0131	30.0	2070	0.0149	0.8085	0.9792	0.9938	nan	0.9918	0.9839	0.9352	0.9857	0.9995	0.9910	0.9725	0.9322	0.9604	0.9949
0.033	31.0	2139	0.0141	0.8124	0.9842	0.9941	nan	0.9931	0.9876	0.9616	0.9792	0.9993	0.9917	0.9741	0.9511	0.9623	0.9953
0.1371	32.0	2208	0.0197	0.8071	0.9776	0.9925	nan	0.9880	0.9842	0.9309	0.9859	0.9993	0.9867	0.9734	0.9287	0.9616	0.9921
0.0226	33.0	2277	0.0190	0.8057	0.9751	0.9928	nan	0.9906	0.9947	0.9322	0.9579	0.9999	0.9901	0.9685	0.9304	0.9511	0.9942
0.0275	34.0	2346	0.0149	0.8075	0.9773	0.9935	nan	0.9930	0.9940	0.9381	0.9621	0.9994	0.9919	0.9698	0.9347	0.9537	0.9953
0.0378	35.0	2415	0.0102	0.8129	0.9838	0.9950	nan	0.9960	0.9881	0.9576	0.9782	0.9992	0.9945	0.9740	0.9502	0.9617	0.9971
0.0123	36.0	2484	0.0098	0.8143	0.9873	0.9951	nan	0.9977	0.9859	0.9721	0.9824	0.9983	0.9948	0.9748	0.9558	0.9631	0.9973
0.1539	37.0	2553	0.0130	0.8100	0.9826	0.9944	nan	0.9957	0.9751	0.9488	0.9938	0.9993	0.9945	0.9695	0.9438	0.9551	0.9970
2.3335	38.0	2622	0.0139	0.8103	0.9825	0.9943	nan	0.9942	0.9804	0.9489	0.9892	0.9995	0.9925	0.9738	0.9377	0.9621	0.9959
0.208	39.0	2691	0.0173	0.8122	0.9830	0.9940	nan	0.9912	0.9884	0.9536	0.9821	0.9996	0.9902	0.9766	0.9470	0.9655	0.9943
0.0539	40.0	2760	0.0161	0.8120	0.9824	0.9934	nan	0.9904	0.9915	0.9559	0.9749	0.9993	0.9888	0.9757	0.9499	0.9641	0.9933
0.0119	41.0	2829	0.0209	0.8102	0.9820	0.9926	nan	0.9869	0.9824	0.9506	0.9902	0.9999	0.9862	0.9756	0.9431	0.9646	0.9916
0.0087	42.0	2898	0.0139	0.8067	0.9767	0.9943	nan	0.9925	0.9886	0.9211	0.9815	0.9997	0.9910	0.9770	0.9110	0.9662	0.9950
0.032	43.0	2967	0.0111	0.8071	0.9778	0.9949	nan	0.9958	0.9799	0.9217	0.9922	0.9995	0.9943	0.9742	0.9148	0.9622	0.9970
0.1255	44.0	3036	0.0095	0.8142	0.9844	0.9955	nan	0.9960	0.9872	0.9528	0.9867	0.9994	0.9947	0.9780	0.9473	0.9680	0.9972
0.0343	45.0	3105	0.0116	0.8131	0.9834	0.9951	nan	0.9940	0.9905	0.9509	0.9818	0.9997	0.9932	0.9784	0.9430	0.9677	0.9962
0.0181	46.0	3174	0.0109	0.8154	0.9855	0.9954	nan	0.9951	0.9878	0.9579	0.9876	0.9993	0.9939	0.9788	0.9539	0.9691	0.9966
0.0942	47.0	3243	0.0153	0.8097	0.9782	0.9947	nan	0.9929	0.9925	0.9280	0.9782	0.9997	0.9918	0.9784	0.9251	0.9677	0.9954
0.2041	48.0	3312	0.0154	0.8160	0.9887	0.9942	nan	0.9909	0.9877	0.9783	0.9870	0.9996	0.9900	0.9795	0.9630	0.9694	0.9939
0.0741	49.0	3381	0.0107	0.8119	0.9817	0.9953	nan	0.9950	0.9885	0.9393	0.9866	0.9994	0.9936	0.9794	0.9323	0.9698	0.9965
1.0818	50.0	3450	0.0184	0.8158	0.9874	0.9935	nan	0.9885	0.9907	0.9764	0.9819	0.9996	0.9875	0.9797	0.9653	0.9699	0.9924
0.0149	51.0	3519	0.0088	0.8177	0.9886	0.9960	nan	0.9970	0.9921	0.9751	0.9799	0.9992	0.9954	0.9795	0.9641	0.9696	0.9975
0.0687	52.0	3588	0.0126	0.8160	0.9873	0.9950	nan	0.9945	0.9848	0.9674	0.9903	0.9992	0.9929	0.9780	0.9613	0.9680	0.9959
0.0241	53.0	3657	0.0101	0.8179	0.9901	0.9957	nan	0.9954	0.9899	0.9805	0.9850	0.9995	0.9943	0.9806	0.9648	0.9712	0.9968
0.0509	54.0	3726	0.0199	0.8155	0.9878	0.9934	nan	0.9880	0.9876	0.9763	0.9876	0.9997	0.9873	0.9793	0.9646	0.9697	0.9923
0.0054	55.0	3795	0.0126	0.8170	0.9883	0.9948	nan	0.9921	0.9922	0.9768	0.9805	0.9997	0.9914	0.9798	0.9662	0.9699	0.9949
0.6137	56.0	3864	0.0093	0.8177	0.9899	0.9958	nan	0.9966	0.9845	0.9778	0.9912	0.9994	0.9954	0.9786	0.9656	0.9689	0.9975
0.0228	57.0	3933	0.0121	0.8156	0.9873	0.9950	nan	0.9946	0.9856	0.9677	0.9898	0.9989	0.9924	0.9788	0.9575	0.9691	0.9956
0.0088	58.0	4002	0.0122	0.8168	0.9883	0.9951	nan	0.9930	0.9890	0.9726	0.9875	0.9996	0.9923	0.9804	0.9617	0.9712	0.9955
0.0089	59.0	4071	0.0086	0.8174	0.9877	0.9960	nan	0.9963	0.9919	0.9687	0.9820	0.9996	0.9953	0.9804	0.9597	0.9715	0.9974
0.004	60.0	4140	0.0103	0.8165	0.9904	0.9953	nan	0.9952	0.9828	0.9823	0.9924	0.9995	0.9942	0.9775	0.9635	0.9670	0.9968
0.062	61.0	4209	0.0116	0.8164	0.9876	0.9951	nan	0.9938	0.9858	0.9677	0.9917	0.9993	0.9924	0.9796	0.9603	0.9703	0.9956
0.0738	62.0	4278	0.0112	0.8176	0.9903	0.9955	nan	0.9949	0.9868	0.9807	0.9896	0.9994	0.9938	0.9797	0.9653	0.9704	0.9965
0.0035	63.0	4347	0.0111	0.8146	0.9841	0.9956	nan	0.9947	0.9904	0.9502	0.9854	0.9996	0.9934	0.9809	0.9443	0.9724	0.9963
0.0128	64.0	4416	0.0107	0.8147	0.9840	0.9954	nan	0.9940	0.9909	0.9499	0.9856	0.9996	0.9929	0.9813	0.9447	0.9733	0.9960
0.0459	65.0	4485	0.0083	0.8161	0.9867	0.9962	nan	0.9970	0.9876	0.9590	0.9906	0.9994	0.9955	0.9813	0.9494	0.9727	0.9976
0.0667	66.0	4554	0.0100	0.8165	0.9865	0.9958	nan	0.9958	0.9868	0.9602	0.9901	0.9996	0.9948	0.9797	0.9565	0.9706	0.9972
0.6922	67.0	4623	0.0200	0.8153	0.9876	0.9933	nan	0.9880	0.9835	0.9726	0.9943	0.9995	0.9870	0.9788	0.9652	0.9688	0.9920
0.03	68.0	4692	0.0081	0.8192	0.9891	0.9964	nan	0.9967	0.9908	0.9711	0.9874	0.9994	0.9955	0.9824	0.9650	0.9745	0.9976
0.0256	69.0	4761	0.0084	0.8179	0.9884	0.9964	nan	0.9979	0.9870	0.9664	0.9917	0.9990	0.9961	0.9812	0.9602	0.9721	0.9979
0.0073	70.0	4830	0.0087	0.8189	0.9910	0.9961	nan	0.9967	0.9843	0.9816	0.9929	0.9996	0.9956	0.9798	0.9697	0.9706	0.9976
0.0268	71.0	4899	0.0096	0.8166	0.9903	0.9958	nan	0.9977	0.9788	0.9797	0.9960	0.9994	0.9963	0.9759	0.9651	0.9645	0.9981
0.0109	72.0	4968	0.0089	0.8184	0.9878	0.9963	nan	0.9964	0.9924	0.9658	0.9850	0.9995	0.9953	0.9825	0.9608	0.9745	0.9974
0.0195	73.0	5037	0.0085	0.8195	0.9906	0.9962	nan	0.9964	0.9885	0.9788	0.9896	0.9996	0.9953	0.9817	0.9694	0.9733	0.9974
0.0484	74.0	5106	0.0099	0.8192	0.9898	0.9960	nan	0.9953	0.9911	0.9768	0.9863	0.9997	0.9945	0.9822	0.9677	0.9739	0.9968
0.4007	75.0	5175	0.0175	0.8156	0.9899	0.9938	nan	0.9893	0.9826	0.9825	0.9951	0.9997	0.9885	0.9791	0.9637	0.9697	0.9929
0.0426	76.0	5244	0.0089	0.8183	0.9887	0.9961	nan	0.9971	0.9885	0.9722	0.9864	0.9993	0.9957	0.9798	0.9655	0.9714	0.9977
0.0189	77.0	5313	0.0117	0.8182	0.9914	0.9954	nan	0.9936	0.9865	0.9848	0.9928	0.9996	0.9926	0.9817	0.9655	0.9736	0.9956
0.0185	78.0	5382	0.0078	0.8197	0.9902	0.9966	nan	0.9969	0.9912	0.9758	0.9877	0.9995	0.9958	0.9832	0.9659	0.9757	0.9977
0.0266	79.0	5451	0.0103	0.8155	0.9886	0.9955	nan	0.9983	0.9760	0.9729	0.9968	0.9991	0.9963	0.9736	0.9634	0.9614	0.9981
0.0229	80.0	5520	0.0092	0.8174	0.9909	0.9960	nan	0.9972	0.9813	0.9804	0.9958	0.9995	0.9961	0.9781	0.9640	0.9680	0.9979
0.5703	81.0	5589	0.0116	0.8175	0.9885	0.9954	nan	0.9945	0.9858	0.9710	0.9918	0.9995	0.9933	0.9800	0.9649	0.9709	0.9961
0.0238	82.0	5658	0.0093	0.8190	0.9895	0.9962	nan	0.9957	0.9895	0.9732	0.9895	0.9996	0.9950	0.9824	0.9655	0.9738	0.9971
0.0273	83.0	5727	0.0103	0.8157	0.9882	0.9958	nan	0.9971	0.9801	0.9685	0.9957	0.9996	0.9960	0.9768	0.9579	0.9659	0.9979
0.0305	84.0	5796	0.0090	0.8192	0.9896	0.9963	nan	0.9959	0.9897	0.9732	0.9894	0.9997	0.9951	0.9827	0.9657	0.9744	0.9972
0.0059	85.0	5865	0.0102	0.8172	0.9878	0.9960	nan	0.9962	0.9849	0.9641	0.9942	0.9995	0.9950	0.9806	0.9590	0.9713	0.9972
0.0217	86.0	5934	0.0089	0.8181	0.9881	0.9964	nan	0.9964	0.9896	0.9650	0.9900	0.9995	0.9952	0.9831	0.9578	0.9753	0.9973
0.0082	87.0	6003	0.0079	0.8191	0.9909	0.9965	nan	0.9965	0.9919	0.9793	0.9873	0.9994	0.9954	0.9837	0.9621	0.9762	0.9974
0.0166	88.0	6072	0.0104	0.8192	0.9901	0.9960	nan	0.9946	0.9886	0.9755	0.9919	0.9998	0.9942	0.9828	0.9666	0.9747	0.9966
0.0246	89.0	6141	0.0074	0.8201	0.9897	0.9968	nan	0.9973	0.9940	0.9738	0.9839	0.9996	0.9962	0.9838	0.9664	0.9762	0.9979
0.0293	90.0	6210	0.0138	0.8169	0.9900	0.9953	nan	0.9927	0.9880	0.9781	0.9918	0.9998	0.9920	0.9827	0.9566	0.9747	0.9952
0.0122	91.0	6279	0.0082	0.8188	0.9879	0.9966	nan	0.9963	0.9920	0.9631	0.9887	0.9996	0.9954	0.9841	0.9591	0.9769	0.9974
0.0221	92.0	6348	0.0074	0.8205	0.9911	0.9968	nan	0.9971	0.9893	0.9771	0.9926	0.9996	0.9962	0.9840	0.9680	0.9767	0.9979
0.006	93.0	6417	0.0063	0.8212	0.9907	0.9972	nan	0.9980	0.9904	0.9736	0.9921	0.9995	0.9970	0.9848	0.9690	0.9778	0.9984
0.0048	94.0	6486	0.0084	0.8178	0.9884	0.9964	nan	0.9960	0.9893	0.9649	0.9921	0.9997	0.9951	0.9841	0.9541	0.9766	0.9972
0.0083	95.0	6555	0.0079	0.8211	0.9906	0.9967	nan	0.9960	0.9919	0.9750	0.9906	0.9996	0.9953	0.9854	0.9702	0.9786	0.9973
0.0061	96.0	6624	0.0083	0.8202	0.9890	0.9967	nan	0.9960	0.9934	0.9672	0.9887	0.9997	0.9954	0.9856	0.9643	0.9788	0.9974
0.0105	97.0	6693	0.0083	0.8215	0.9915	0.9966	nan	0.9957	0.9913	0.9799	0.9911	0.9997	0.9950	0.9854	0.9727	0.9788	0.9971
0.018	98.0	6762	0.0104	0.8208	0.9921	0.9960	nan	0.9942	0.9890	0.9838	0.9938	0.9996	0.9933	0.9848	0.9731	0.9777	0.9960
0.0225	99.0	6831	0.0125	0.8207	0.9907	0.9961	nan	0.9940	0.9910	0.9769	0.9919	0.9997	0.9935	0.9854	0.9707	0.9786	0.9961
0.0106	100.0	6900	0.0070	0.8215	0.9919	0.9970	nan	0.9970	0.9941	0.9819	0.9871	0.9995	0.9962	0.9858	0.9702	0.9789	0.9978
0.0722	101.0	6969	0.0074	0.8205	0.9903	0.9969	nan	0.9969	0.9898	0.9726	0.9927	0.9997	0.9962	0.9845	0.9671	0.9771	0.9979
0.1848	102.0	7038	0.0083	0.8187	0.9877	0.9967	nan	0.9963	0.9925	0.9616	0.9888	0.9996	0.9953	0.9853	0.9556	0.9786	0.9974
0.0148	103.0	7107	0.0071	0.8194	0.9901	0.9969	nan	0.9974	0.9891	0.9713	0.9931	0.9995	0.9962	0.9846	0.9600	0.9775	0.9980
0.888	104.0	7176	0.0099	0.8173	0.9870	0.9964	nan	0.9951	0.9912	0.9573	0.9917	0.9997	0.9941	0.9858	0.9481	0.9791	0.9967
0.0192	105.0	7245	0.0093	0.8178	0.9872	0.9966	nan	0.9958	0.9918	0.9582	0.9903	0.9997	0.9949	0.9854	0.9504	0.9788	0.9972
0.0241	106.0	7314	0.0073	0.8186	0.9909	0.9967	nan	0.9972	0.9867	0.9759	0.9948	0.9996	0.9963	0.9832	0.9584	0.9754	0.9980
0.0507	107.0	7383	0.0071	0.8163	0.9848	0.9970	nan	0.9970	0.9922	0.9437	0.9913	0.9996	0.9960	0.9862	0.9381	0.9796	0.9979
0.0138	108.0	7452	0.0085	0.8198	0.9898	0.9967	nan	0.9958	0.9911	0.9698	0.9923	0.9997	0.9951	0.9857	0.9616	0.9789	0.9972
0.0235	109.0	7521	0.0079	0.8191	0.9896	0.9967	nan	0.9964	0.9895	0.9684	0.9938	0.9997	0.9956	0.9851	0.9585	0.9780	0.9976
0.0446	110.0	7590	0.0074	0.8218	0.9931	0.9969	nan	0.9968	0.9911	0.9859	0.9919	0.9996	0.9957	0.9861	0.9711	0.9803	0.9976
0.0152	111.0	7659	0.0075	0.8212	0.9923	0.9969	nan	0.9967	0.9909	0.9824	0.9918	0.9996	0.9960	0.9853	0.9695	0.9785	0.9977
0.0157	112.0	7728	0.0111	0.8177	0.9913	0.9956	nan	0.9958	0.9800	0.9833	0.9978	0.9997	0.9952	0.9777	0.9691	0.9667	0.9972
0.0139	113.0	7797	0.0098	0.8163	0.9869	0.9962	nan	0.9958	0.9855	0.9573	0.9960	0.9997	0.9949	0.9824	0.9496	0.9739	0.9971
0.0127	114.0	7866	0.0086	0.8172	0.9874	0.9965	nan	0.9959	0.9893	0.9585	0.9935	0.9997	0.9950	0.9848	0.9482	0.9777	0.9973
0.0102	115.0	7935	0.0078	0.8203	0.9919	0.9967	nan	0.9966	0.9889	0.9804	0.9939	0.9997	0.9958	0.9848	0.9659	0.9779	0.9977
0.0037	116.0	8004	0.0087	0.8211	0.9912	0.9966	nan	0.9957	0.9928	0.9782	0.9895	0.9997	0.9950	0.9859	0.9691	0.9793	0.9971
0.0055	117.0	8073	0.0075	0.8210	0.9910	0.9969	nan	0.9966	0.9922	0.9761	0.9905	0.9996	0.9957	0.9860	0.9671	0.9796	0.9976
0.0038	118.0	8142	0.0073	0.8214	0.9909	0.9971	nan	0.9968	0.9926	0.9743	0.9912	0.9996	0.9960	0.9865	0.9677	0.9806	0.9978
0.0061	119.0	8211	0.0073	0.8219	0.9927	0.9969	nan	0.9967	0.9906	0.9838	0.9927	0.9996	0.9958	0.9858	0.9729	0.9793	0.9976
0.0036	120.0	8280	0.0079	0.8214	0.9924	0.9967	nan	0.9964	0.9890	0.9823	0.9945	0.9996	0.9957	0.9849	0.9727	0.9777	0.9975
0.0062	121.0	8349	0.0075	0.8189	0.9893	0.9968	nan	0.9973	0.9886	0.9672	0.9937	0.9995	0.9960	0.9845	0.9572	0.9777	0.9979
0.0369	122.0	8418	0.0101	0.8213	0.9927	0.9965	nan	0.9952	0.9906	0.9852	0.9928	0.9997	0.9946	0.9858	0.9720	0.9790	0.9967
0.0341	123.0	8487	0.0077	0.8202	0.9911	0.9967	nan	0.9966	0.9886	0.9759	0.9947	0.9996	0.9957	0.9848	0.9657	0.9777	0.9976
0.0167	124.0	8556	0.0081	0.8199	0.9910	0.9967	nan	0.9966	0.9889	0.9760	0.9939	0.9995	0.9955	0.9850	0.9630	0.9783	0.9974
0.0137	125.0	8625	0.0079	0.8209	0.9917	0.9968	nan	0.9964	0.9911	0.9794	0.9918	0.9996	0.9955	0.9859	0.9669	0.9794	0.9974
0.019	126.0	8694	0.0103	0.8210	0.9919	0.9964	nan	0.9949	0.9906	0.9807	0.9935	0.9997	0.9943	0.9860	0.9693	0.9795	0.9966
0.0161	127.0	8763	0.0092	0.8216	0.9922	0.9966	nan	0.9955	0.9904	0.9814	0.9939	0.9996	0.9948	0.9861	0.9719	0.9797	0.9969
0.0019	128.0	8832	0.0075	0.8218	0.9932	0.9969	nan	0.9969	0.9892	0.9859	0.9945	0.9995	0.9959	0.9855	0.9726	0.9788	0.9976
0.0679	129.0	8901	0.0089	0.8206	0.9914	0.9967	nan	0.9961	0.9907	0.9778	0.9929	0.9995	0.9951	0.9862	0.9654	0.9800	0.9972
0.0064	130.0	8970	0.0079	0.8212	0.9930	0.9968	nan	0.9965	0.9889	0.9851	0.9948	0.9996	0.9956	0.9854	0.9703	0.9787	0.9974
0.0022	131.0	9039	0.0093	0.8216	0.9928	0.9966	nan	0.9958	0.9892	0.9853	0.9943	0.9996	0.9949	0.9854	0.9733	0.9788	0.9970
0.0181	132.0	9108	0.0078	0.8219	0.9932	0.9969	nan	0.9966	0.9899	0.9862	0.9938	0.9996	0.9958	0.9858	0.9730	0.9793	0.9976
0.1037	133.0	9177	0.0090	0.8212	0.9929	0.9967	nan	0.9961	0.9889	0.9852	0.9944	0.9997	0.9953	0.9854	0.9705	0.9788	0.9973
0.0021	134.0	9246	0.0090	0.8216	0.9929	0.9966	nan	0.9956	0.9896	0.9853	0.9943	0.9996	0.9949	0.9858	0.9730	0.9789	0.9969
0.0065	135.0	9315	0.0099	0.8214	0.9922	0.9962	nan	0.9942	0.9919	0.9834	0.9919	0.9996	0.9935	0.9866	0.9719	0.9802	0.9960
0.0446	136.0	9384	0.0083	0.8219	0.9929	0.9968	nan	0.9962	0.9905	0.9849	0.9933	0.9997	0.9954	0.9862	0.9722	0.9800	0.9973
0.1102	137.0	9453	0.0080	0.8220	0.9927	0.9969	nan	0.9964	0.9917	0.9831	0.9926	0.9996	0.9957	0.9867	0.9719	0.9806	0.9975
0.0265	138.0	9522	0.0100	0.8216	0.9929	0.9965	nan	0.9949	0.9915	0.9856	0.9926	0.9996	0.9940	0.9869	0.9718	0.9809	0.9964
0.0063	139.0	9591	0.0096	0.8214	0.9928	0.9963	nan	0.9948	0.9893	0.9858	0.9946	0.9996	0.9939	0.9857	0.9736	0.9790	0.9963
0.0058	140.0	9660	0.0077	0.8215	0.9935	0.9968	nan	0.9965	0.9894	0.9880	0.9943	0.9995	0.9955	0.9858	0.9711	0.9792	0.9974
0.0121	141.0	9729	0.0105	0.8214	0.9917	0.9964	nan	0.9948	0.9911	0.9797	0.9931	0.9997	0.9941	0.9864	0.9712	0.9801	0.9965
0.0149	142.0	9798	0.0100	0.8211	0.9930	0.9963	nan	0.9949	0.9887	0.9867	0.9948	0.9996	0.9941	0.9852	0.9728	0.9783	0.9965
0.0145	143.0	9867	0.0081	0.8220	0.9925	0.9968	nan	0.9960	0.9918	0.9830	0.9920	0.9996	0.9952	0.9867	0.9719	0.9808	0.9972
0.4392	144.0	9936	0.0084	0.8221	0.9927	0.9968	nan	0.9961	0.9913	0.9834	0.9932	0.9996	0.9953	0.9867	0.9726	0.9806	0.9972
0.012	145.0	10005	0.0102	0.8215	0.9926	0.9964	nan	0.9950	0.9898	0.9842	0.9942	0.9997	0.9943	0.9858	0.9730	0.9791	0.9966
0.0313	146.0	10074	0.0097	0.8215	0.9927	0.9965	nan	0.9953	0.9899	0.9848	0.9941	0.9996	0.9946	0.9858	0.9725	0.9792	0.9968
0.0042	147.0	10143	0.0081	0.8219	0.9930	0.9968	nan	0.9963	0.9901	0.9849	0.9943	0.9996	0.9954	0.9862	0.9728	0.9797	0.9973
0.0019	148.0	10212	0.0074	0.8222	0.9935	0.9970	nan	0.9966	0.9922	0.9871	0.9919	0.9996	0.9958	0.9870	0.9718	0.9808	0.9976
0.0072	149.0	10281	0.0095	0.8213	0.9933	0.9965	nan	0.9955	0.9883	0.9875	0.9953	0.9997	0.9948	0.9852	0.9727	0.9782	0.9969
0.0029	150.0	10350	0.0077	0.8219	0.9934	0.9969	nan	0.9967	0.9898	0.9868	0.9941	0.9996	0.9957	0.9860	0.9727	0.9795	0.9975

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

segformer-b2_DsD

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js