segformer-b2-finetuned-metallography_DsE

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: 0.0696
Mean Iou: 0.6858
Mean Accuracy: 0.8338
Overall Accuracy: 0.9841
Accuracy Background: nan
Accuracy Haz: 0.9961
Accuracy Matrix: 0.9913
Accuracy Porosity: 0.2365
Accuracy Carbides: 0.9799
Accuracy Substrate: 0.9651
Iou Background: 0.0
Iou Haz: 0.9720
Iou Matrix: 0.9810
Iou Porosity: 0.2335
Iou Carbides: 0.9673
Iou Substrate: 0.9613

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
0.8849	1.0	21	0.7319	0.3864	0.6049	0.6854	nan	0.2634	0.8934	0.0	0.8682	0.9997	0.2633	0.8332	0.0	0.7277	0.4943
0.5828	2.0	42	0.3851	0.4823	0.6799	0.8065	nan	0.5722	0.9144	0.0	0.9376	0.9754	0.5620	0.8860	0.0	0.8357	0.6101
0.724	3.0	63	0.4977	0.4859	0.6616	0.8220	nan	0.9876	0.9538	0.0	0.9687	0.3981	0.6921	0.9320	0.0	0.8931	0.3981
0.331	4.0	84	0.4487	0.5555	0.7239	0.8919	nan	0.9873	0.9426	0.0383	0.9812	0.6702	0.7996	0.9314	0.0383	0.8936	0.6702
0.096	5.0	105	1.0791	0.4742	0.6701	0.7773	nan	0.4407	0.9952	0.0339	0.8812	0.9995	0.4407	0.9328	0.0339	0.8738	0.5643
1.8898	6.0	126	0.1401	0.6166	0.7929	0.9305	nan	0.8952	0.9354	0.1937	0.9902	0.9499	0.8648	0.9265	0.1780	0.8828	0.8475
2.3375	7.0	147	0.1988	0.5985	0.7606	0.9148	nan	0.9912	0.9880	0.1529	0.9429	0.7279	0.8310	0.9539	0.1523	0.9268	0.7268
1.7543	8.0	168	0.7132	0.5108	0.6826	0.8373	nan	0.9971	0.9929	0.1042	0.8620	0.4567	0.7188	0.9258	0.1042	0.8594	0.4567
0.213	9.0	189	0.3579	0.5867	0.7479	0.9143	nan	0.9502	0.9909	0.0683	0.9537	0.7762	0.8200	0.9646	0.0683	0.9381	0.7292
1.8806	10.0	210	0.7559	0.5967	0.7613	0.9033	nan	0.9956	0.9750	0.1883	0.9711	0.6763	0.8092	0.9602	0.1873	0.9475	0.6763
0.0916	11.0	231	0.2387	0.6102	0.7702	0.9252	nan	0.9866	0.9911	0.1603	0.9415	0.7715	0.8476	0.9621	0.1601	0.9334	0.7581
0.041	12.0	252	0.4231	0.6028	0.7643	0.9162	nan	0.9977	0.9885	0.1568	0.9657	0.7126	0.8281	0.9710	0.1566	0.9490	0.7119
0.1261	13.0	273	0.1053	0.6381	0.7975	0.9496	nan	0.9381	0.9795	0.1627	0.9818	0.9252	0.8906	0.9689	0.1623	0.9492	0.8575
0.2457	14.0	294	0.4736	0.5973	0.7662	0.9047	nan	0.9727	0.9694	0.1888	0.9906	0.7096	0.8061	0.9641	0.1876	0.9410	0.6850
1.8782	15.0	315	0.4003	0.6113	0.7757	0.9181	nan	0.9979	0.9749	0.1971	0.9863	0.7225	0.8334	0.9674	0.1959	0.9488	0.7223
1.9666	16.0	336	0.6508	0.5961	0.7608	0.9056	nan	0.9975	0.9840	0.1731	0.9793	0.6701	0.8081	0.9726	0.1723	0.9536	0.6701
0.1944	17.0	357	0.1201	0.6305	0.7897	0.9362	nan	0.9926	0.9839	0.1991	0.9787	0.7942	0.8660	0.9724	0.1979	0.9542	0.7927
1.7702	18.0	378	0.1245	0.6416	0.8037	0.9510	nan	0.8864	0.9868	0.1701	0.9762	0.9993	0.8857	0.9740	0.1699	0.9559	0.8643
0.0637	19.0	399	0.0736	0.6548	0.8059	0.9644	nan	0.9961	0.9903	0.1790	0.9672	0.8968	0.9281	0.9725	0.1785	0.9534	0.8960
0.0558	20.0	420	0.0444	0.6671	0.8138	0.9786	nan	0.9916	0.9868	0.1598	0.9723	0.9585	0.9630	0.9730	0.1598	0.9548	0.9523
0.6747	21.0	441	0.2910	0.6199	0.7785	0.9303	nan	0.9982	0.9922	0.1794	0.9547	0.7677	0.8566	0.9695	0.1793	0.9466	0.7675
0.1574	22.0	462	0.1830	0.6305	0.7864	0.9430	nan	0.9955	0.9898	0.1608	0.9716	0.8144	0.8795	0.9736	0.1607	0.9554	0.8141
0.0501	23.0	483	0.2069	0.6173	0.7800	0.9214	nan	0.9933	0.9800	0.2050	0.9838	0.7380	0.8374	0.9717	0.2040	0.9526	0.7380
1.7855	24.0	504	0.7342	0.6007	0.7644	0.9089	nan	0.9987	0.9867	0.1804	0.9767	0.6794	0.8133	0.9749	0.1799	0.9570	0.6794
0.0353	25.0	525	0.2269	0.6252	0.7958	0.9280	nan	0.8266	0.9849	0.1937	0.9775	0.9962	0.8243	0.9734	0.1929	0.9548	0.8055
1.9575	26.0	546	0.3799	0.6048	0.7664	0.9156	nan	0.9985	0.9899	0.1667	0.9718	0.7049	0.8254	0.9755	0.1665	0.9563	0.7049
0.0527	27.0	567	0.0705	0.6626	0.8145	0.9664	nan	0.9957	0.9831	0.2080	0.9802	0.9057	0.9331	0.9734	0.2065	0.9579	0.9047
0.0733	28.0	588	0.0504	0.6767	0.8273	0.9812	nan	0.9671	0.9857	0.2035	0.9806	0.9997	0.9665	0.9759	0.2019	0.9578	0.9582
0.2549	29.0	609	0.0350	0.6770	0.8236	0.9833	nan	0.9847	0.9931	0.1912	0.9661	0.9829	0.9729	0.9752	0.1901	0.9559	0.9681
1.7117	30.0	630	0.1004	0.6553	0.8080	0.9609	nan	0.9955	0.9890	0.2011	0.9710	0.8836	0.9192	0.9744	0.1989	0.9577	0.8816
0.063	31.0	651	0.1219	0.6410	0.7978	0.9485	nan	0.9995	0.9871	0.1937	0.9810	0.8275	0.8903	0.9770	0.1920	0.9590	0.8274
0.1433	32.0	672	0.0875	0.6651	0.8157	0.9712	nan	0.9984	0.9893	0.1991	0.9745	0.9169	0.9427	0.9757	0.1974	0.9589	0.9162
0.0537	33.0	693	0.0414	0.6752	0.8210	0.9829	nan	0.9892	0.9895	0.1809	0.9681	0.9776	0.9736	0.9739	0.1800	0.9556	0.9683
0.0574	34.0	714	0.3474	0.6232	0.7821	0.9319	nan	0.9989	0.9907	0.1829	0.9722	0.7659	0.8564	0.9769	0.1817	0.9581	0.7659
0.0694	35.0	735	0.0696	0.6571	0.8092	0.9636	nan	0.9979	0.9901	0.1962	0.9733	0.8886	0.9246	0.9768	0.1947	0.9592	0.8874
0.0273	36.0	756	0.3532	0.6165	0.7786	0.9221	nan	0.9985	0.9862	0.1976	0.9820	0.7284	0.8370	0.9767	0.1969	0.9602	0.7284
1.5247	37.0	777	0.0373	0.6773	0.8235	0.9834	nan	0.9949	0.9939	0.1971	0.9605	0.9710	0.9747	0.9740	0.1962	0.9530	0.9659
0.0698	38.0	798	0.0417	0.6793	0.8275	0.9831	nan	0.9940	0.9864	0.2075	0.9816	0.9679	0.9718	0.9770	0.2055	0.9603	0.9612
0.0515	39.0	819	0.0516	0.6748	0.8239	0.9790	nan	0.9950	0.9883	0.2065	0.9800	0.9497	0.9606	0.9780	0.2041	0.9618	0.9443
0.0278	40.0	840	0.1557	0.6326	0.7893	0.9410	nan	0.9988	0.9921	0.1858	0.9690	0.8007	0.8749	0.9764	0.1850	0.9586	0.8006
1.6609	41.0	861	0.3355	0.6176	0.7784	0.9249	nan	0.9986	0.9886	0.1878	0.9784	0.7385	0.8422	0.9775	0.1863	0.9610	0.7385
0.106	42.0	882	0.1514	0.6438	0.7985	0.9510	nan	0.9983	0.9943	0.1996	0.9572	0.8432	0.8982	0.9730	0.1980	0.9513	0.8421
2.9787	43.0	903	0.0484	0.6780	0.8262	0.9824	nan	0.9942	0.9872	0.2035	0.9820	0.9642	0.9695	0.9775	0.2023	0.9612	0.9577
1.1995	44.0	924	0.1022	0.6601	0.8108	0.9673	nan	0.9996	0.9948	0.1991	0.9565	0.9040	0.9356	0.9731	0.1974	0.9508	0.9038
0.115	45.0	945	0.0598	0.6730	0.8235	0.9768	nan	0.9826	0.9876	0.2085	0.9788	0.9602	0.9555	0.9767	0.2059	0.9608	0.9391
0.0234	46.0	966	0.0447	0.6769	0.8262	0.9807	nan	0.9851	0.9880	0.2080	0.9787	0.9713	0.9653	0.9773	0.2047	0.9607	0.9532
0.0376	47.0	987	0.1044	0.6578	0.8105	0.9630	nan	0.9956	0.9893	0.2026	0.9765	0.8885	0.9226	0.9773	0.2010	0.9607	0.8850
0.0373	48.0	1008	0.0718	0.6685	0.8184	0.9735	nan	0.9984	0.9902	0.2030	0.9759	0.9244	0.9474	0.9780	0.2013	0.9616	0.9229
0.0502	49.0	1029	0.1129	0.6505	0.8080	0.9535	nan	0.9991	0.9805	0.2232	0.9864	0.8508	0.9033	0.9736	0.2187	0.9567	0.8508
1.7814	50.0	1050	0.0523	0.6746	0.8251	0.9778	nan	0.9961	0.9840	0.2153	0.9846	0.9456	0.9590	0.9761	0.2117	0.9585	0.9423
0.0212	51.0	1071	0.1608	0.6413	0.7976	0.9470	nan	0.9973	0.9927	0.2045	0.9679	0.8257	0.8874	0.9764	0.2028	0.9578	0.8236
0.0617	52.0	1092	0.1678	0.6399	0.7974	0.9437	nan	0.9994	0.9912	0.2148	0.9716	0.8098	0.8803	0.9771	0.2118	0.9605	0.8097
1.78	53.0	1113	0.1185	0.6504	0.8061	0.9540	nan	0.9976	0.9868	0.2134	0.9818	0.8511	0.9021	0.9773	0.2098	0.9628	0.8504
1.222	54.0	1134	0.6786	0.6118	0.7726	0.9199	nan	0.9985	0.9942	0.1844	0.9661	0.7199	0.8328	0.9765	0.1837	0.9577	0.7199
0.1799	55.0	1155	0.5135	0.6149	0.7769	0.9191	nan	0.9993	0.9939	0.2099	0.9648	0.7164	0.8318	0.9762	0.2077	0.9574	0.7164
0.0331	56.0	1176	0.0522	0.6761	0.8259	0.9795	nan	0.9770	0.9921	0.2109	0.9716	0.9777	0.9618	0.9773	0.2093	0.9604	0.9482
0.0695	57.0	1197	0.0569	0.6774	0.8250	0.9806	nan	0.9964	0.9933	0.2124	0.9674	0.9555	0.9659	0.9767	0.2111	0.9586	0.9522
0.023	58.0	1218	0.0686	0.6750	0.8243	0.9778	nan	0.9946	0.9877	0.2119	0.9816	0.9457	0.9576	0.9782	0.2108	0.9633	0.9400
0.0175	59.0	1239	0.0468	0.6803	0.8284	0.9811	nan	0.9961	0.9893	0.2217	0.9783	0.9564	0.9661	0.9782	0.2199	0.9636	0.9537
0.0263	60.0	1260	0.0480	0.6787	0.8272	0.9802	nan	0.9971	0.9901	0.2193	0.9793	0.9504	0.9632	0.9792	0.2173	0.9640	0.9484
0.0471	61.0	1281	0.3034	0.6303	0.7922	0.9311	nan	0.9996	0.9871	0.2316	0.9829	0.7598	0.8539	0.9784	0.2270	0.9629	0.7598
0.0495	62.0	1302	0.1032	0.6641	0.8167	0.9657	nan	0.9984	0.9875	0.2227	0.9794	0.8954	0.9294	0.9773	0.2198	0.9629	0.8954
1.0344	63.0	1323	0.0882	0.6704	0.8205	0.9735	nan	0.9991	0.9892	0.2139	0.9766	0.9238	0.9477	0.9775	0.2122	0.9615	0.9235
1.6423	64.0	1344	0.0516	0.6790	0.8286	0.9814	nan	0.9813	0.9889	0.2148	0.9799	0.9778	0.9661	0.9786	0.2130	0.9630	0.9536
1.018	65.0	1365	0.0501	0.6775	0.8267	0.9815	nan	0.9794	0.9884	0.2040	0.9802	0.9814	0.9666	0.9783	0.2025	0.9624	0.9553
0.0782	66.0	1386	0.0808	0.6753	0.8239	0.9785	nan	0.9986	0.9920	0.2119	0.9745	0.9423	0.9593	0.9789	0.2106	0.9623	0.9410
0.0152	67.0	1407	0.1115	0.6619	0.8152	0.9630	nan	0.9978	0.9890	0.2262	0.9781	0.8848	0.9223	0.9779	0.2235	0.9635	0.8842
0.0345	68.0	1428	0.0639	0.6789	0.8278	0.9799	nan	0.9961	0.9901	0.2247	0.9763	0.9517	0.9631	0.9783	0.2210	0.9623	0.9488
0.0755	69.0	1449	0.1152	0.6635	0.8227	0.9623	nan	0.9234	0.9881	0.2345	0.9806	0.9868	0.9148	0.9784	0.2303	0.9639	0.8934
0.0538	70.0	1470	0.1228	0.6600	0.8141	0.9620	nan	0.9977	0.9871	0.2217	0.9833	0.8805	0.9196	0.9784	0.2199	0.9633	0.8789
0.8156	71.0	1491	0.0634	0.6760	0.8253	0.9774	nan	0.9942	0.9911	0.2212	0.9753	0.9446	0.9565	0.9782	0.2198	0.9627	0.9390
0.0451	72.0	1512	0.0989	0.6678	0.8193	0.9687	nan	0.9984	0.9914	0.2291	0.9703	0.9074	0.9367	0.9765	0.2265	0.9604	0.9066
1.5604	73.0	1533	0.0530	0.6807	0.8282	0.9827	nan	0.9879	0.9934	0.2178	0.9666	0.9755	0.9710	0.9765	0.2169	0.9586	0.9609
0.7039	74.0	1554	0.0682	0.6787	0.8270	0.9799	nan	0.9983	0.9914	0.2227	0.9742	0.9486	0.9631	0.9783	0.2210	0.9625	0.9472
0.6662	75.0	1575	0.0440	0.6828	0.8302	0.9845	nan	0.9865	0.9925	0.2173	0.9723	0.9825	0.9744	0.9781	0.2167	0.9619	0.9654
0.0355	76.0	1596	0.0662	0.6745	0.8228	0.9776	nan	0.9980	0.9945	0.2144	0.9659	0.9410	0.9579	0.9770	0.2137	0.9586	0.9400
0.0175	77.0	1617	0.0410	0.6853	0.8331	0.9850	nan	0.9909	0.9895	0.2276	0.9802	0.9775	0.9753	0.9792	0.2257	0.9646	0.9667
0.0222	78.0	1638	0.0423	0.6831	0.8302	0.9851	nan	0.9916	0.9898	0.2129	0.9797	0.9769	0.9756	0.9791	0.2124	0.9646	0.9670
0.046	79.0	1659	0.0473	0.6847	0.8320	0.9851	nan	0.9957	0.9920	0.2276	0.9727	0.9722	0.9764	0.9781	0.2246	0.9620	0.9673
0.0157	80.0	1680	0.0508	0.6831	0.8302	0.9846	nan	0.9965	0.9900	0.2188	0.9758	0.9698	0.9755	0.9778	0.2173	0.9620	0.9659
0.0173	81.0	1701	0.0444	0.6832	0.8300	0.9852	nan	0.9942	0.9915	0.2153	0.9738	0.9749	0.9768	0.9781	0.2145	0.9619	0.9682
0.0212	82.0	1722	0.0407	0.6851	0.8332	0.9856	nan	0.9872	0.9884	0.2237	0.9818	0.9851	0.9769	0.9790	0.2220	0.9640	0.9689
0.0156	83.0	1743	0.0547	0.6838	0.8321	0.9826	nan	0.9960	0.9909	0.2365	0.9748	0.9621	0.9699	0.9782	0.2336	0.9632	0.9578
0.0235	84.0	1764	0.0784	0.6762	0.8258	0.9775	nan	0.9989	0.9888	0.2232	0.9800	0.9382	0.9568	0.9787	0.2218	0.9628	0.9372
0.0567	85.0	1785	0.0582	0.6823	0.8305	0.9818	nan	0.9970	0.9911	0.2330	0.9730	0.9585	0.9684	0.9775	0.2304	0.9616	0.9561
0.536	86.0	1806	0.0478	0.6864	0.8344	0.9851	nan	0.9945	0.9914	0.2380	0.9753	0.9730	0.9758	0.9789	0.2345	0.9624	0.9670
0.0278	87.0	1827	0.0722	0.6796	0.8289	0.9788	nan	0.9981	0.9897	0.2335	0.9794	0.9437	0.9597	0.9793	0.2319	0.9647	0.9422
0.0732	88.0	1848	0.0340	0.6869	0.8343	0.9871	nan	0.9929	0.9882	0.2247	0.9837	0.9821	0.9804	0.9796	0.2235	0.9649	0.9731
0.0161	89.0	1869	0.0631	0.6785	0.8268	0.9795	nan	0.9978	0.9918	0.2227	0.9746	0.9470	0.9616	0.9786	0.2214	0.9637	0.9457
0.4672	90.0	1890	0.0814	0.6758	0.8249	0.9762	nan	0.9977	0.9931	0.2291	0.9678	0.9367	0.9547	0.9769	0.2267	0.9603	0.9359
1.6738	91.0	1911	0.0415	0.6856	0.8324	0.9858	nan	0.9920	0.9923	0.2237	0.9751	0.9789	0.9773	0.9794	0.2222	0.9639	0.9707
0.0282	92.0	1932	0.0628	0.6828	0.8305	0.9822	nan	0.9951	0.9908	0.2296	0.9746	0.9624	0.9692	0.9779	0.2274	0.9634	0.9592
0.0387	93.0	1953	0.1007	0.6756	0.8267	0.9742	nan	0.9986	0.9888	0.2404	0.9801	0.9259	0.9486	0.9789	0.2359	0.9650	0.9253
0.4224	94.0	1974	0.0588	0.6844	0.8318	0.9841	nan	0.9948	0.9909	0.2281	0.9764	0.9691	0.9733	0.9789	0.2261	0.9647	0.9636
0.018	95.0	1995	0.0687	0.6832	0.8310	0.9835	nan	0.9973	0.9909	0.2262	0.9787	0.9619	0.9710	0.9800	0.2242	0.9653	0.9590
0.0267	96.0	2016	0.0768	0.6825	0.8314	0.9813	nan	0.9979	0.9906	0.2370	0.9780	0.9535	0.9659	0.9796	0.2332	0.9649	0.9515
0.4075	97.0	2037	0.0634	0.6828	0.8299	0.9837	nan	0.9933	0.9936	0.2237	0.9675	0.9714	0.9735	0.9774	0.2218	0.9603	0.9641
0.0566	98.0	2058	0.0674	0.6823	0.8300	0.9828	nan	0.9915	0.9928	0.2252	0.9714	0.9693	0.9703	0.9785	0.2234	0.9624	0.9592
0.0301	99.0	2079	0.0721	0.6829	0.8308	0.9827	nan	0.9971	0.9908	0.2286	0.9778	0.9596	0.9692	0.9797	0.2262	0.9655	0.9569
0.0217	100.0	2100	0.0691	0.6836	0.8321	0.9834	nan	0.9964	0.9863	0.2281	0.9858	0.9639	0.9714	0.9791	0.2256	0.9652	0.9605
0.0685	101.0	2121	0.0644	0.6840	0.8323	0.9832	nan	0.9952	0.9882	0.2301	0.9840	0.9639	0.9704	0.9798	0.2277	0.9659	0.9599
0.0239	102.0	2142	0.0885	0.6779	0.8275	0.9775	nan	0.9984	0.9907	0.2316	0.9799	0.9371	0.9557	0.9804	0.2291	0.9659	0.9363
0.0699	103.0	2163	0.0542	0.6853	0.8334	0.9844	nan	0.9928	0.9886	0.2311	0.9828	0.9719	0.9733	0.9797	0.2286	0.9659	0.9644
0.3308	104.0	2184	0.0768	0.6827	0.8315	0.9812	nan	0.9974	0.9895	0.2365	0.9808	0.9535	0.9655	0.9799	0.2332	0.9661	0.9514
0.0147	105.0	2205	0.0633	0.6842	0.8329	0.9827	nan	0.9959	0.9895	0.2365	0.9822	0.9605	0.9687	0.9804	0.2334	0.9662	0.9565
0.0361	106.0	2226	0.0573	0.6851	0.8320	0.9850	nan	0.9958	0.9916	0.2252	0.9774	0.9699	0.9749	0.9801	0.2240	0.9660	0.9654
0.0396	107.0	2247	0.0612	0.6849	0.8323	0.9846	nan	0.9965	0.9918	0.2286	0.9773	0.9673	0.9738	0.9802	0.2265	0.9657	0.9634
0.0114	108.0	2268	0.1143	0.6761	0.8265	0.9750	nan	0.9991	0.9915	0.2370	0.9782	0.9268	0.9497	0.9805	0.2341	0.9660	0.9262
0.0217	109.0	2289	0.0875	0.6809	0.8303	0.9796	nan	0.9984	0.9905	0.2375	0.9792	0.9457	0.9613	0.9799	0.2340	0.9658	0.9444
0.0144	110.0	2310	0.0827	0.6787	0.8287	0.9778	nan	0.9988	0.9892	0.2355	0.9814	0.9386	0.9570	0.9797	0.2324	0.9655	0.9378
0.2973	111.0	2331	0.1622	0.6587	0.8134	0.9586	nan	0.9992	0.9907	0.2335	0.9795	0.8639	0.9111	0.9803	0.2311	0.9660	0.8638
0.0314	112.0	2352	0.0953	0.6784	0.8284	0.9771	nan	0.9982	0.9900	0.2375	0.9799	0.9367	0.9552	0.9799	0.2336	0.9659	0.9356
0.3166	113.0	2373	0.0811	0.6823	0.8310	0.9815	nan	0.9976	0.9901	0.2325	0.9812	0.9536	0.9657	0.9805	0.2298	0.9665	0.9515
0.2358	114.0	2394	0.0735	0.6844	0.8329	0.9831	nan	0.9963	0.9889	0.2345	0.9826	0.9621	0.9701	0.9800	0.2313	0.9663	0.9589
1.7592	115.0	2415	0.0624	0.6850	0.8330	0.9839	nan	0.9924	0.9912	0.2325	0.9783	0.9705	0.9720	0.9800	0.2298	0.9660	0.9622
0.0162	116.0	2436	0.0594	0.6853	0.8337	0.9839	nan	0.9896	0.9920	0.2360	0.9769	0.9742	0.9718	0.9801	0.2328	0.9659	0.9612
0.038	117.0	2457	0.0728	0.6840	0.8329	0.9825	nan	0.9925	0.9915	0.2370	0.9788	0.9646	0.9681	0.9806	0.2335	0.9663	0.9555
0.016	118.0	2478	0.0694	0.6844	0.8328	0.9828	nan	0.9929	0.9915	0.2370	0.9762	0.9664	0.9697	0.9794	0.2333	0.9654	0.9587
1.5674	119.0	2499	0.0867	0.6818	0.8304	0.9809	nan	0.9968	0.9924	0.2340	0.9761	0.9526	0.9643	0.9802	0.2310	0.9657	0.9497
0.014	120.0	2520	0.0706	0.6838	0.8318	0.9832	nan	0.9942	0.9919	0.2301	0.9780	0.9647	0.9698	0.9806	0.2277	0.9664	0.9582
0.2742	121.0	2541	0.0701	0.6847	0.8327	0.9834	nan	0.9923	0.9921	0.2340	0.9760	0.9689	0.9708	0.9799	0.2312	0.9655	0.9606
0.2749	122.0	2562	0.0786	0.6840	0.8319	0.9829	nan	0.9949	0.9909	0.2325	0.9779	0.9635	0.9697	0.9796	0.2302	0.9660	0.9582
0.0453	123.0	2583	0.0674	0.6845	0.8325	0.9839	nan	0.9935	0.9922	0.2301	0.9790	0.9678	0.9712	0.9813	0.2276	0.9669	0.9599
0.5099	124.0	2604	0.0723	0.6840	0.8319	0.9830	nan	0.9943	0.9914	0.2316	0.9784	0.9639	0.9695	0.9804	0.2290	0.9666	0.9588
0.0147	125.0	2625	0.1034	0.6788	0.8283	0.9779	nan	0.9981	0.9912	0.2335	0.9798	0.9388	0.9565	0.9809	0.2310	0.9669	0.9376
0.0107	126.0	2646	0.0618	0.6854	0.8325	0.9849	nan	0.9948	0.9921	0.2286	0.9759	0.9709	0.9747	0.9799	0.2265	0.9654	0.9658
0.0126	127.0	2667	0.0920	0.6793	0.8292	0.9780	nan	0.9986	0.9907	0.2375	0.9806	0.9386	0.9568	0.9808	0.2340	0.9665	0.9377
0.0359	128.0	2688	0.1235	0.6697	0.8219	0.9688	nan	0.9986	0.9905	0.2360	0.9812	0.9032	0.9343	0.9808	0.2329	0.9672	0.9029
0.0131	129.0	2709	0.1020	0.6759	0.8265	0.9746	nan	0.9985	0.9906	0.2375	0.9800	0.9258	0.9485	0.9804	0.2339	0.9671	0.9253
0.0437	130.0	2730	0.0785	0.6817	0.8307	0.9804	nan	0.9980	0.9911	0.2365	0.9796	0.9485	0.9627	0.9807	0.2329	0.9668	0.9470
0.0418	131.0	2751	0.1136	0.6720	0.8232	0.9713	nan	0.9990	0.9930	0.2360	0.9756	0.9123	0.9404	0.9806	0.2332	0.9657	0.9119
0.0373	132.0	2772	0.1297	0.6691	0.8211	0.9686	nan	0.9990	0.9913	0.2340	0.9791	0.9021	0.9340	0.9807	0.2315	0.9668	0.9018
0.0465	133.0	2793	0.0763	0.6829	0.8310	0.9819	nan	0.9971	0.9919	0.2330	0.9772	0.9559	0.9668	0.9803	0.2304	0.9663	0.9537
0.3298	134.0	2814	0.0798	0.6825	0.8302	0.9822	nan	0.9970	0.9917	0.2276	0.9772	0.9574	0.9677	0.9802	0.2257	0.9660	0.9552
0.0182	135.0	2835	0.0744	0.6841	0.8322	0.9826	nan	0.9967	0.9912	0.2360	0.9781	0.9592	0.9686	0.9802	0.2330	0.9662	0.9565
0.0132	136.0	2856	0.0738	0.6833	0.8314	0.9826	nan	0.9970	0.9910	0.2306	0.9799	0.9585	0.9684	0.9808	0.2283	0.9667	0.9557
0.0122	137.0	2877	0.0660	0.6859	0.8336	0.9846	nan	0.9951	0.9914	0.2335	0.9800	0.9683	0.9731	0.9811	0.2308	0.9670	0.9632
0.0453	138.0	2898	0.0615	0.6846	0.8317	0.9845	nan	0.9949	0.9928	0.2266	0.9756	0.9689	0.9733	0.9803	0.2247	0.9658	0.9636
0.0099	139.0	2919	0.0704	0.6846	0.8324	0.9834	nan	0.9965	0.9917	0.2335	0.9783	0.9622	0.9704	0.9806	0.2310	0.9668	0.9589
0.0127	140.0	2940	0.0683	0.6848	0.8327	0.9834	nan	0.9968	0.9919	0.2355	0.9779	0.9617	0.9703	0.9807	0.2325	0.9667	0.9583
0.0128	141.0	2961	0.0701	0.6854	0.8332	0.9840	nan	0.9959	0.9921	0.2345	0.9779	0.9654	0.9719	0.9809	0.2318	0.9668	0.9611
0.2223	142.0	2982	0.0769	0.6847	0.8323	0.9841	nan	0.9960	0.9918	0.2291	0.9793	0.9652	0.9719	0.9812	0.2271	0.9671	0.9607
0.195	143.0	3003	0.0695	0.6852	0.8325	0.9845	nan	0.9953	0.9926	0.2301	0.9765	0.9682	0.9733	0.9806	0.2280	0.9662	0.9629
2.2552	144.0	3024	0.0653	0.6864	0.8345	0.9846	nan	0.9932	0.9909	0.2365	0.9806	0.9712	0.9733	0.9809	0.2333	0.9673	0.9635
0.0138	145.0	3045	0.0624	0.6863	0.8342	0.9844	nan	0.9928	0.9911	0.2360	0.9797	0.9713	0.9729	0.9807	0.2332	0.9671	0.9636
0.017	146.0	3066	0.0722	0.6857	0.8335	0.9841	nan	0.9964	0.9922	0.2365	0.9779	0.9646	0.9720	0.9809	0.2333	0.9668	0.9611
0.0097	147.0	3087	0.0674	0.6860	0.8339	0.9843	nan	0.9962	0.9914	0.2365	0.9797	0.9656	0.9724	0.9810	0.2336	0.9672	0.9617
0.0458	148.0	3108	0.0721	0.6849	0.8327	0.9836	nan	0.9968	0.9919	0.2345	0.9778	0.9625	0.9709	0.9806	0.2318	0.9667	0.9596
0.021	149.0	3129	0.0672	0.6857	0.8336	0.9841	nan	0.9963	0.9916	0.2365	0.9790	0.9648	0.9719	0.9809	0.2330	0.9672	0.9611
0.0188	150.0	3150	0.0696	0.6858	0.8338	0.9841	nan	0.9961	0.9913	0.2365	0.9799	0.9651	0.9720	0.9810	0.2335	0.9673	0.9613

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

segformer-b2-finetuned-metallography_DsE

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NSDT 3DConvert

UnrealSynth

DreamTexture.js