segformer-b0-winter_2

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

• Loss: 0.0665
• Mean Iou: 0.7168
• Mean Accuracy: 0.7840
• Overall Accuracy: 0.9775
• Accuracy Unlabeled: nan
• Accuracy Road: 0.9559
• Accuracy Side walk: 0.7693
• Accuracy Car: 0.8882
• Accuracy Pedestrian: 0.8345
• Accuracy Sign: 0.2653
• Accuracy Other: 0.9907
• Iou Unlabeled: nan
• Iou Road: 0.9088
• Iou Side walk: 0.6583
• Iou Car: 0.7943
• Iou Pedestrian: 0.7201
• Iou Sign: 0.2393
• Iou Other: 0.9799

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 Road	Accuracy Side walk	Accuracy Car	Accuracy Pedestrian	Accuracy Sign	Accuracy Other	Iou Unlabeled	Iou Road	Iou Side walk	Iou Car	Iou Pedestrian	Iou Sign	Iou Other
1.2678	0.37	20	1.4585	0.2824	0.4123	0.8374	nan	0.9932	0.0	0.6072	0.0205	0.0	0.8528	nan	0.4383	0.0	0.3876	0.0204	0.0	0.8480
0.9377	0.74	40	0.9219	0.3461	0.4345	0.9161	nan	0.9666	0.0013	0.6904	0.0	0.0	0.9490	nan	0.6449	0.0013	0.5036	0.0	0.0	0.9265
0.7819	1.11	60	0.7375	0.3622	0.4469	0.9248	nan	0.9687	0.0098	0.7451	0.0	0.0	0.9576	nan	0.6748	0.0095	0.5520	0.0	0.0	0.9367
0.687	1.48	80	0.6354	0.3674	0.4573	0.9286	nan	0.9687	0.0131	0.8014	0.0	0.0	0.9608	nan	0.6873	0.0130	0.5626	0.0	0.0	0.9417
0.552	1.85	100	0.5199	0.3753	0.4700	0.9360	nan	0.9564	0.0246	0.8691	0.0	0.0	0.9697	nan	0.7283	0.0246	0.5492	0.0	0.0	0.9497
0.521	2.22	120	0.4620	0.3897	0.4651	0.9419	nan	0.9413	0.0622	0.8083	0.0	0.0	0.9791	nan	0.7606	0.0615	0.5631	0.0	0.0	0.9531
0.3901	2.59	140	0.4255	0.4088	0.5067	0.9398	nan	0.9671	0.1414	0.8939	0.0695	0.0	0.9684	nan	0.7369	0.1358	0.5570	0.0694	0.0	0.9540
0.4172	2.96	160	0.3836	0.4307	0.5198	0.9436	nan	0.9591	0.2494	0.8904	0.0485	0.0	0.9714	nan	0.7552	0.2212	0.6043	0.0485	0.0	0.9552
0.2995	3.33	180	0.3209	0.4755	0.5497	0.9483	nan	0.9631	0.1625	0.8542	0.3417	0.0	0.9768	nan	0.7656	0.1585	0.6356	0.3340	0.0	0.9592
1.6503	3.7	200	0.2891	0.4914	0.5539	0.9529	nan	0.9505	0.4372	0.7938	0.1621	0.0	0.9797	nan	0.8021	0.3827	0.6457	0.1592	0.0	0.9585
0.2506	4.07	220	0.2502	0.4813	0.5573	0.9537	nan	0.9412	0.3606	0.8825	0.1774	0.0	0.9820	nan	0.8068	0.3260	0.6168	0.1758	0.0	0.9625
0.2336	4.44	240	0.2367	0.5543	0.6178	0.9610	nan	0.9211	0.4445	0.8401	0.5124	0.0	0.9889	nan	0.8354	0.4044	0.6477	0.4713	0.0	0.9670
0.1932	4.81	260	0.2088	0.5436	0.5960	0.9613	nan	0.9283	0.4497	0.8144	0.3935	0.0	0.9898	nan	0.8360	0.4188	0.6606	0.3794	0.0	0.9667
1.8362	5.19	280	0.1866	0.5727	0.6422	0.9628	nan	0.9358	0.4776	0.8185	0.6339	0.0	0.9876	nan	0.8474	0.4320	0.6612	0.5279	0.0	0.9679
0.2085	5.56	300	0.1677	0.5749	0.6321	0.9646	nan	0.9571	0.4811	0.7743	0.5920	0.0	0.9881	nan	0.8488	0.4438	0.6761	0.5099	0.0	0.9706
0.1389	5.93	320	0.1566	0.5761	0.6368	0.9641	nan	0.9566	0.5138	0.8141	0.5499	0.0	0.9862	nan	0.8483	0.4661	0.6803	0.4929	0.0	0.9693
0.1799	6.3	340	0.1620	0.5836	0.6678	0.9625	nan	0.9604	0.5769	0.8649	0.6244	0.0	0.9802	nan	0.8437	0.4753	0.6798	0.5350	0.0	0.9679
0.1291	6.67	360	0.1400	0.5926	0.6680	0.9649	nan	0.9637	0.5702	0.8362	0.6548	0.0	0.9831	nan	0.8505	0.4971	0.6900	0.5478	0.0	0.9701
0.1275	7.04	380	0.1505	0.5710	0.6346	0.9625	nan	0.9682	0.4619	0.7713	0.6220	0.0	0.9843	nan	0.8387	0.4057	0.6858	0.5268	0.0	0.9691
0.0968	7.41	400	0.1368	0.5774	0.6363	0.9644	nan	0.9666	0.4759	0.8145	0.5753	0.0	0.9859	nan	0.8407	0.4348	0.6960	0.5216	0.0	0.9714
0.1279	7.78	420	0.1317	0.5911	0.6616	0.9665	nan	0.9405	0.5449	0.9055	0.5909	0.0	0.9880	nan	0.8677	0.4742	0.7002	0.5328	0.0	0.9714
0.0917	8.15	440	0.1217	0.6187	0.7110	0.9684	nan	0.9505	0.7295	0.8745	0.7278	0.0	0.9834	nan	0.8802	0.5694	0.7065	0.5843	0.0	0.9719
0.0896	8.52	460	0.1164	0.6055	0.6809	0.9678	nan	0.9333	0.7235	0.8257	0.6158	0.0	0.9873	nan	0.8787	0.5338	0.7053	0.5428	0.0	0.9722
0.0903	8.89	480	0.1186	0.6195	0.6956	0.9683	nan	0.9632	0.6929	0.8345	0.6995	0.0	0.9836	nan	0.8645	0.5528	0.7308	0.5960	0.0	0.9730
0.0943	9.26	500	0.1183	0.6205	0.7187	0.9672	nan	0.9539	0.7619	0.8675	0.7483	0.0	0.9805	nan	0.8773	0.5444	0.7161	0.6142	0.0	0.9709
0.0886	9.63	520	0.1080	0.6233	0.7010	0.9687	nan	0.9665	0.6540	0.8584	0.7434	0.0	0.9838	nan	0.8689	0.5572	0.7272	0.6140	0.0	0.9726
0.1024	10.0	540	0.1047	0.6224	0.6872	0.9706	nan	0.9419	0.6739	0.8470	0.6710	0.0	0.9898	nan	0.8803	0.5702	0.7278	0.5818	0.0	0.9744
0.0779	10.37	560	0.1116	0.6168	0.6841	0.9683	nan	0.9726	0.5517	0.8334	0.7614	0.0	0.9856	nan	0.8627	0.5211	0.7301	0.6145	0.0	0.9724
0.1082	10.74	580	0.1044	0.6277	0.7012	0.9695	nan	0.9656	0.6787	0.8693	0.7096	0.0	0.9843	nan	0.8712	0.5607	0.7441	0.6166	0.0	0.9736
0.0797	11.11	600	0.1004	0.6356	0.7205	0.9703	nan	0.9625	0.7506	0.8580	0.7686	0.0	0.9834	nan	0.8826	0.5894	0.7393	0.6292	0.0	0.9734
0.0766	11.48	620	0.0957	0.6377	0.7250	0.9714	nan	0.9507	0.7480	0.8487	0.8162	0.0	0.9862	nan	0.8869	0.6181	0.7356	0.6112	0.0	0.9743
0.1557	11.85	640	0.0951	0.6367	0.7029	0.9719	nan	0.9529	0.7316	0.8288	0.7157	0.0	0.9883	nan	0.8896	0.6117	0.7317	0.6125	0.0	0.9745
0.0623	12.22	660	0.0939	0.6462	0.7283	0.9726	nan	0.9467	0.7844	0.8493	0.8022	0.0	0.9873	nan	0.8923	0.6157	0.7518	0.6416	0.0	0.9756
0.0619	12.59	680	0.0976	0.6349	0.7030	0.9710	nan	0.9603	0.7091	0.8715	0.6907	0.0	0.9861	nan	0.8802	0.5868	0.7498	0.6182	0.0	0.9745
0.0617	12.96	700	0.0919	0.6354	0.7228	0.9719	nan	0.9470	0.7145	0.8873	0.8003	0.0	0.9874	nan	0.8887	0.5929	0.7426	0.6128	0.0	0.9756
0.0544	13.33	720	0.0870	0.6517	0.7173	0.9741	nan	0.9465	0.7433	0.8302	0.7930	0.0	0.9907	nan	0.9005	0.6367	0.7452	0.6518	0.0	0.9760
0.1027	13.7	740	0.0894	0.6446	0.7207	0.9728	nan	0.9207	0.7490	0.8655	0.7973	0.0	0.9917	nan	0.8926	0.6210	0.7383	0.6398	0.0	0.9755
0.0568	14.07	760	0.0897	0.6434	0.7118	0.9729	nan	0.9570	0.7121	0.8779	0.7342	0.0016	0.9882	nan	0.8947	0.6098	0.7497	0.6292	0.0016	0.9753
0.0612	14.44	780	0.0851	0.6517	0.7181	0.9740	nan	0.9599	0.7121	0.8589	0.7874	0.0012	0.9890	nan	0.8967	0.6182	0.7590	0.6582	0.0012	0.9766
0.076	14.81	800	0.0859	0.6485	0.7126	0.9735	nan	0.9589	0.6878	0.8535	0.7830	0.0033	0.9894	nan	0.8925	0.6028	0.7595	0.6563	0.0033	0.9765
0.0489	15.19	820	0.0815	0.6528	0.7188	0.9744	nan	0.9484	0.7477	0.8180	0.7988	0.0090	0.9909	nan	0.9011	0.6294	0.7421	0.6584	0.0090	0.9771
0.0859	15.56	840	0.0828	0.6555	0.7296	0.9738	nan	0.9508	0.7726	0.8563	0.7974	0.0118	0.9884	nan	0.8961	0.6231	0.7577	0.6674	0.0118	0.9768
0.0661	15.93	860	0.0840	0.6555	0.7190	0.9741	nan	0.9603	0.7187	0.8370	0.7849	0.0234	0.9894	nan	0.8993	0.6216	0.7473	0.6652	0.0234	0.9766
0.0654	16.3	880	0.0840	0.6584	0.7227	0.9742	nan	0.9564	0.7158	0.8614	0.7876	0.0257	0.9895	nan	0.8970	0.6175	0.7638	0.6699	0.0257	0.9767
0.0607	16.67	900	0.0822	0.6559	0.7390	0.9732	nan	0.9545	0.7766	0.8700	0.8213	0.0253	0.9865	nan	0.8920	0.6220	0.7645	0.6554	0.0253	0.9763
0.0497	17.04	920	0.0817	0.6673	0.7313	0.9748	nan	0.9606	0.6869	0.8915	0.7878	0.0713	0.9897	nan	0.8995	0.6138	0.7722	0.6698	0.0711	0.9773
0.0497	17.41	940	0.0841	0.6523	0.7202	0.9731	nan	0.9672	0.6538	0.8894	0.7861	0.0371	0.9878	nan	0.8868	0.5868	0.7649	0.6617	0.0371	0.9766
0.055	17.78	960	0.0832	0.6568	0.7440	0.9730	nan	0.9510	0.8045	0.8484	0.8358	0.0383	0.9863	nan	0.8946	0.6165	0.7569	0.6587	0.0383	0.9762
0.0967	18.15	980	0.0854	0.6650	0.7524	0.9726	nan	0.9647	0.7887	0.8950	0.7981	0.0846	0.9836	nan	0.8918	0.6210	0.7621	0.6561	0.0839	0.9752
0.0436	18.52	1000	0.0814	0.6623	0.7454	0.9739	nan	0.9593	0.7287	0.8957	0.8436	0.0579	0.9871	nan	0.8986	0.6138	0.7595	0.6672	0.0577	0.9767
0.0465	18.89	1020	0.0773	0.6646	0.7224	0.9754	nan	0.9473	0.7419	0.8615	0.7462	0.0456	0.9919	nan	0.9050	0.6357	0.7607	0.6632	0.0456	0.9777
0.0672	19.26	1040	0.0778	0.6713	0.7454	0.9751	nan	0.9464	0.7716	0.8746	0.8165	0.0736	0.9898	nan	0.9037	0.6316	0.7748	0.6671	0.0730	0.9776
0.0592	19.63	1060	0.0799	0.6616	0.7223	0.9747	nan	0.9596	0.6442	0.8656	0.8116	0.0613	0.9912	nan	0.8997	0.5864	0.7681	0.6765	0.0612	0.9776
0.0876	20.0	1080	0.0794	0.6712	0.7386	0.9745	nan	0.9608	0.7370	0.8057	0.8434	0.0954	0.9893	nan	0.8993	0.6468	0.7364	0.6735	0.0943	0.9767
0.0483	20.37	1100	0.0742	0.6783	0.7469	0.9760	nan	0.9576	0.7331	0.8860	0.8272	0.0872	0.9901	nan	0.9066	0.6469	0.7731	0.6784	0.0866	0.9782
0.0837	20.74	1120	0.0746	0.6756	0.7378	0.9762	nan	0.9491	0.7350	0.8654	0.8146	0.0709	0.9920	nan	0.9067	0.6411	0.7718	0.6849	0.0705	0.9785
0.0685	21.11	1140	0.0743	0.6787	0.7383	0.9759	nan	0.9475	0.7316	0.8709	0.7859	0.1015	0.9921	nan	0.9070	0.6387	0.7661	0.6817	0.1004	0.9781
0.0596	21.48	1160	0.0751	0.6762	0.7418	0.9753	nan	0.9499	0.7516	0.8336	0.8182	0.1066	0.9909	nan	0.9056	0.6307	0.7558	0.6827	0.1051	0.9776
0.0608	21.85	1180	0.0728	0.6833	0.7549	0.9763	nan	0.9428	0.7846	0.8823	0.8219	0.1066	0.9911	nan	0.9070	0.6479	0.7742	0.6862	0.1055	0.9789
0.0918	22.22	1200	0.0731	0.6846	0.7457	0.9763	nan	0.9597	0.7567	0.8516	0.7984	0.1174	0.9904	nan	0.9049	0.6518	0.7691	0.6875	0.1153	0.9787
0.0539	22.59	1220	0.0743	0.6785	0.7431	0.9756	nan	0.9563	0.7037	0.8680	0.8308	0.1086	0.9909	nan	0.9011	0.6200	0.7720	0.6918	0.1075	0.9786
0.112	22.96	1240	0.0732	0.6786	0.7429	0.9759	nan	0.9550	0.7656	0.8544	0.8060	0.0862	0.9902	nan	0.9026	0.6444	0.7701	0.6902	0.0856	0.9786
0.0719	23.33	1260	0.0752	0.6812	0.7419	0.9752	nan	0.9556	0.7059	0.8454	0.8174	0.1363	0.9910	nan	0.8975	0.6136	0.7681	0.6947	0.1347	0.9784
0.0669	23.7	1280	0.0769	0.6881	0.7787	0.9740	nan	0.9620	0.7954	0.9020	0.8524	0.1760	0.9846	nan	0.8958	0.6387	0.7668	0.6829	0.1678	0.9766
0.0493	24.07	1300	0.0759	0.6778	0.7518	0.9748	nan	0.9568	0.7398	0.8994	0.7977	0.1284	0.9885	nan	0.8995	0.6076	0.7751	0.6805	0.1260	0.9783
0.11	24.44	1320	0.0752	0.6879	0.7625	0.9751	nan	0.9636	0.7402	0.8775	0.8339	0.1720	0.9879	nan	0.9000	0.6242	0.7765	0.6846	0.1644	0.9779
0.0631	24.81	1340	0.0720	0.6898	0.7530	0.9763	nan	0.9664	0.7223	0.8807	0.8130	0.1459	0.9896	nan	0.9044	0.6431	0.7812	0.6906	0.1411	0.9786
0.038	25.19	1360	0.0719	0.6909	0.7599	0.9761	nan	0.9491	0.7646	0.8841	0.8190	0.1522	0.9904	nan	0.9034	0.6346	0.7828	0.6976	0.1480	0.9790
0.0431	25.56	1380	0.0721	0.6925	0.7596	0.9760	nan	0.9651	0.7530	0.8864	0.8031	0.1614	0.9886	nan	0.9033	0.6418	0.7848	0.6910	0.1558	0.9785
0.0289	25.93	1400	0.0711	0.6914	0.7587	0.9762	nan	0.9381	0.7752	0.8909	0.7947	0.1614	0.9919	nan	0.9045	0.6471	0.7738	0.6893	0.1549	0.9789
0.0426	26.3	1420	0.0706	0.6950	0.7523	0.9768	nan	0.9640	0.7361	0.8359	0.8120	0.1746	0.9911	nan	0.9078	0.6530	0.7639	0.6987	0.1673	0.9791
0.0467	26.67	1440	0.0707	0.6961	0.7609	0.9765	nan	0.9479	0.7615	0.9029	0.7805	0.1813	0.9911	nan	0.9072	0.6454	0.7790	0.6928	0.1734	0.9790
0.0408	27.04	1460	0.0709	0.6920	0.7549	0.9765	nan	0.9492	0.7672	0.8323	0.8389	0.1500	0.9918	nan	0.9080	0.6569	0.7628	0.7006	0.1450	0.9786
0.0615	27.41	1480	0.0703	0.6963	0.7537	0.9768	nan	0.9581	0.7484	0.8667	0.7992	0.1587	0.9911	nan	0.9084	0.6610	0.7770	0.7002	0.1525	0.9786
0.0533	27.78	1500	0.0706	0.6946	0.7582	0.9764	nan	0.9456	0.7452	0.8519	0.8340	0.1799	0.9924	nan	0.9061	0.6408	0.7720	0.6988	0.1708	0.9789
0.0711	28.15	1520	0.0706	0.6920	0.7510	0.9763	nan	0.9534	0.7701	0.8629	0.7678	0.1608	0.9909	nan	0.9047	0.6450	0.7784	0.6898	0.1554	0.9789
0.0393	28.52	1540	0.0682	0.6969	0.7657	0.9768	nan	0.9478	0.7615	0.8731	0.8445	0.1756	0.9915	nan	0.9068	0.6512	0.7821	0.6940	0.1677	0.9795
0.0554	28.89	1560	0.0692	0.6964	0.7709	0.9760	nan	0.9589	0.7844	0.8853	0.8399	0.1685	0.9882	nan	0.9025	0.6465	0.7864	0.7042	0.1603	0.9786
0.0434	29.26	1580	0.0701	0.7004	0.7726	0.9764	nan	0.9626	0.7718	0.9017	0.8279	0.1836	0.9883	nan	0.9042	0.6550	0.7841	0.7068	0.1736	0.9789
0.0291	29.63	1600	0.0697	0.6993	0.7828	0.9764	nan	0.9514	0.7878	0.9098	0.8654	0.1934	0.9889	nan	0.9074	0.6529	0.7792	0.6950	0.1820	0.9791
2.6544	30.0	1620	0.0684	0.6924	0.7548	0.9766	nan	0.9521	0.7645	0.8669	0.8127	0.1414	0.9912	nan	0.9047	0.6439	0.7817	0.7072	0.1378	0.9794
0.0575	30.37	1640	0.0695	0.7022	0.7716	0.9766	nan	0.9572	0.7694	0.8932	0.8291	0.1913	0.9895	nan	0.9055	0.6478	0.7868	0.7134	0.1807	0.9792
0.0445	30.74	1660	0.0695	0.6967	0.7644	0.9766	nan	0.9469	0.7587	0.8831	0.8402	0.1661	0.9914	nan	0.9087	0.6416	0.7843	0.7072	0.1596	0.9789
0.0487	31.11	1680	0.0700	0.7022	0.7674	0.9768	nan	0.9598	0.7276	0.8745	0.8351	0.2170	0.9907	nan	0.9066	0.6404	0.7870	0.7006	0.1996	0.9792
0.0539	31.48	1700	0.0700	0.6978	0.7634	0.9764	nan	0.9489	0.7680	0.8586	0.8232	0.1903	0.9912	nan	0.9054	0.6365	0.7813	0.7053	0.1791	0.9792
0.0617	31.85	1720	0.0717	0.7077	0.7777	0.9765	nan	0.9562	0.7683	0.8947	0.8146	0.2433	0.9895	nan	0.9038	0.6415	0.7921	0.7096	0.2201	0.9791
0.0391	32.22	1740	0.0690	0.7007	0.7676	0.9766	nan	0.9557	0.7667	0.8654	0.8402	0.1874	0.9902	nan	0.9044	0.6447	0.7851	0.7129	0.1775	0.9793
0.0834	32.59	1760	0.0688	0.7015	0.7699	0.9768	nan	0.9519	0.7571	0.8926	0.8319	0.1954	0.9907	nan	0.9048	0.6459	0.7860	0.7089	0.1840	0.9795
0.0412	32.96	1780	0.0694	0.7080	0.7786	0.9768	nan	0.9560	0.7600	0.8859	0.8386	0.2410	0.9901	nan	0.9077	0.6464	0.7894	0.7049	0.2203	0.9791
0.0476	33.33	1800	0.0698	0.7045	0.7689	0.9766	nan	0.9582	0.7688	0.8677	0.8225	0.2062	0.9900	nan	0.9055	0.6537	0.7854	0.7090	0.1948	0.9788
0.0407	33.7	1820	0.0684	0.7103	0.7824	0.9770	nan	0.9535	0.7700	0.8809	0.8575	0.2423	0.9904	nan	0.9077	0.6555	0.7885	0.7073	0.2233	0.9794
0.0307	34.07	1840	0.0717	0.7072	0.7902	0.9755	nan	0.9608	0.7869	0.8959	0.8623	0.2484	0.9867	nan	0.9000	0.6421	0.7882	0.7089	0.2258	0.9781
0.0236	34.44	1860	0.0700	0.7104	0.7889	0.9765	nan	0.9502	0.7737	0.8754	0.8807	0.2639	0.9900	nan	0.9041	0.6532	0.7850	0.7041	0.2370	0.9791
0.0752	34.81	1880	0.0689	0.7068	0.7716	0.9766	nan	0.9564	0.7689	0.8845	0.8157	0.2139	0.9899	nan	0.9032	0.6542	0.7915	0.7115	0.2012	0.9790
0.0301	35.19	1900	0.0701	0.7021	0.7862	0.9761	nan	0.9427	0.8005	0.8935	0.8702	0.2209	0.9896	nan	0.9046	0.6342	0.7870	0.7013	0.2064	0.9793
0.0457	35.56	1920	0.0694	0.7053	0.7683	0.9769	nan	0.9525	0.7313	0.8720	0.8319	0.2302	0.9918	nan	0.9053	0.6363	0.7872	0.7100	0.2136	0.9796
0.033	35.93	1940	0.0695	0.7078	0.7745	0.9766	nan	0.9618	0.7552	0.8873	0.8138	0.2392	0.9894	nan	0.9037	0.6423	0.7926	0.7104	0.2183	0.9793
0.0231	36.3	1960	0.0687	0.7060	0.7741	0.9769	nan	0.9493	0.7574	0.8883	0.8302	0.2284	0.9912	nan	0.9052	0.6403	0.7898	0.7092	0.2118	0.9798
0.038	36.67	1980	0.0685	0.7082	0.7775	0.9767	nan	0.9640	0.7617	0.8762	0.8311	0.2431	0.9891	nan	0.9042	0.6457	0.7927	0.7064	0.2206	0.9795
0.0421	37.04	2000	0.0684	0.7083	0.7806	0.9767	nan	0.9523	0.7679	0.8937	0.8367	0.2427	0.9902	nan	0.9048	0.6430	0.7934	0.7069	0.2222	0.9796
0.0431	37.41	2020	0.0700	0.7097	0.7792	0.9763	nan	0.9580	0.7520	0.8796	0.8316	0.2641	0.9896	nan	0.9019	0.6332	0.7909	0.7144	0.2385	0.9793
0.0384	37.78	2040	0.0671	0.7123	0.7770	0.9774	nan	0.9580	0.7566	0.8859	0.8268	0.2441	0.9908	nan	0.9085	0.6542	0.7907	0.7163	0.2242	0.9799
0.0405	38.15	2060	0.0672	0.7141	0.7884	0.9772	nan	0.9559	0.7886	0.8953	0.8413	0.2596	0.9895	nan	0.9092	0.6515	0.7949	0.7149	0.2345	0.9797
0.0474	38.52	2080	0.0677	0.7122	0.7779	0.9773	nan	0.9611	0.7538	0.8965	0.8228	0.2431	0.9901	nan	0.9072	0.6535	0.7946	0.7159	0.2224	0.9798
0.0862	38.89	2100	0.0682	0.7115	0.7787	0.9772	nan	0.9539	0.7524	0.8878	0.8352	0.2516	0.9910	nan	0.9073	0.6464	0.7929	0.7136	0.2290	0.9798
0.0354	39.26	2120	0.0677	0.7085	0.7713	0.9772	nan	0.9562	0.7498	0.8778	0.8236	0.2290	0.9912	nan	0.9084	0.6464	0.7894	0.7146	0.2127	0.9796
0.0549	39.63	2140	0.0686	0.7079	0.7702	0.9768	nan	0.9573	0.7483	0.8772	0.8090	0.2386	0.9907	nan	0.9060	0.6389	0.7896	0.7132	0.2204	0.9794
0.0355	40.0	2160	0.0688	0.7131	0.7845	0.9768	nan	0.9595	0.7532	0.8882	0.8417	0.2747	0.9896	nan	0.9049	0.6461	0.7936	0.7110	0.2441	0.9793
2.1231	40.37	2180	0.0676	0.7069	0.7721	0.9769	nan	0.9521	0.7665	0.8752	0.8309	0.2170	0.9910	nan	0.9060	0.6463	0.7894	0.7156	0.2044	0.9796
0.0577	40.74	2200	0.0669	0.7129	0.7797	0.9774	nan	0.9582	0.7679	0.8834	0.8338	0.2445	0.9904	nan	0.9097	0.6600	0.7920	0.7108	0.2256	0.9796
0.0318	41.11	2220	0.0676	0.7131	0.7817	0.9771	nan	0.9615	0.7636	0.8916	0.8335	0.2504	0.9895	nan	0.9067	0.6543	0.7943	0.7147	0.2292	0.9795
0.0356	41.48	2240	0.0674	0.7167	0.7861	0.9773	nan	0.9582	0.7643	0.8956	0.8287	0.2800	0.9900	nan	0.9076	0.6530	0.7965	0.7154	0.2479	0.9797
0.0816	41.85	2260	0.0676	0.7126	0.7728	0.9774	nan	0.9568	0.7636	0.8714	0.8100	0.2439	0.9912	nan	0.9090	0.6544	0.7924	0.7146	0.2254	0.9797
0.0561	42.22	2280	0.0666	0.7130	0.7759	0.9775	nan	0.9537	0.7694	0.8763	0.8244	0.2400	0.9914	nan	0.9092	0.6624	0.7912	0.7133	0.2222	0.9797
0.0336	42.59	2300	0.0669	0.7173	0.7858	0.9776	nan	0.9553	0.7755	0.8866	0.8381	0.2685	0.9907	nan	0.9095	0.6654	0.7936	0.7138	0.2419	0.9798
0.0313	42.96	2320	0.0669	0.7119	0.7773	0.9775	nan	0.9560	0.7609	0.8968	0.8289	0.2304	0.9907	nan	0.9084	0.6581	0.7945	0.7150	0.2154	0.9798
0.0611	43.33	2340	0.0670	0.7090	0.7756	0.9772	nan	0.9547	0.7711	0.8810	0.8347	0.2215	0.9907	nan	0.9071	0.6520	0.7914	0.7153	0.2082	0.9798
0.0329	43.7	2360	0.0669	0.7146	0.7803	0.9775	nan	0.9577	0.7647	0.8782	0.8346	0.2555	0.9908	nan	0.9091	0.6560	0.7926	0.7162	0.2337	0.9800
0.0528	44.07	2380	0.0668	0.7131	0.7721	0.9776	nan	0.9594	0.7513	0.8762	0.8097	0.2449	0.9913	nan	0.9087	0.6565	0.7923	0.7147	0.2262	0.9799
0.0729	44.44	2400	0.0671	0.7131	0.7748	0.9775	nan	0.9578	0.7573	0.8777	0.8187	0.2461	0.9911	nan	0.9085	0.6566	0.7912	0.7152	0.2272	0.9798
0.0383	44.81	2420	0.0675	0.7108	0.7809	0.9771	nan	0.9506	0.7742	0.8796	0.8459	0.2443	0.9909	nan	0.9072	0.6499	0.7903	0.7116	0.2262	0.9798
0.0565	45.19	2440	0.0674	0.7154	0.7821	0.9774	nan	0.9590	0.7609	0.8808	0.8296	0.2720	0.9905	nan	0.9086	0.6546	0.7931	0.7129	0.2436	0.9797
0.0417	45.56	2460	0.0671	0.7149	0.7809	0.9776	nan	0.9563	0.7631	0.8843	0.8383	0.2524	0.9909	nan	0.9095	0.6570	0.7939	0.7174	0.2314	0.9799
0.024	45.93	2480	0.0678	0.7159	0.7872	0.9772	nan	0.9564	0.7709	0.8828	0.8458	0.2769	0.9902	nan	0.9074	0.6549	0.7927	0.7148	0.2458	0.9797
0.0496	46.3	2500	0.0668	0.7148	0.7836	0.9775	nan	0.9554	0.7648	0.8905	0.8390	0.2614	0.9907	nan	0.9092	0.6567	0.7931	0.7131	0.2368	0.9799
0.0428	46.67	2520	0.0668	0.7150	0.7857	0.9773	nan	0.9571	0.7641	0.8969	0.8438	0.2624	0.9902	nan	0.9083	0.6559	0.7941	0.7144	0.2372	0.9798
0.0458	47.04	2540	0.0665	0.7141	0.7811	0.9775	nan	0.9540	0.7665	0.8957	0.8351	0.2443	0.9908	nan	0.9088	0.6565	0.7946	0.7192	0.2257	0.9799
0.0429	47.41	2560	0.0673	0.7131	0.7791	0.9773	nan	0.9604	0.7621	0.8836	0.8325	0.2457	0.9901	nan	0.9073	0.6536	0.7936	0.7180	0.2266	0.9797
0.0449	47.78	2580	0.0666	0.7144	0.7786	0.9775	nan	0.9571	0.7630	0.8873	0.8248	0.2484	0.9908	nan	0.9089	0.6565	0.7944	0.7188	0.2281	0.9799
0.0302	48.15	2600	0.0665	0.7155	0.7800	0.9776	nan	0.9552	0.7637	0.8904	0.8251	0.2545	0.9911	nan	0.9094	0.6580	0.7936	0.7196	0.2326	0.9799
0.029	48.52	2620	0.0675	0.7176	0.7877	0.9774	nan	0.9588	0.7640	0.8947	0.8445	0.2744	0.9901	nan	0.9081	0.6575	0.7948	0.7204	0.2447	0.9798
1.9447	48.89	2640	0.0662	0.7130	0.7803	0.9774	nan	0.9529	0.7688	0.8720	0.8497	0.2471	0.9912	nan	0.9085	0.6550	0.7904	0.7170	0.2272	0.9799
0.0247	49.26	2660	0.0674	0.7163	0.7870	0.9773	nan	0.9593	0.7720	0.8815	0.8486	0.2704	0.9899	nan	0.9077	0.6575	0.7928	0.7181	0.2422	0.9797
0.0369	49.63	2680	0.0662	0.7154	0.7839	0.9775	nan	0.9547	0.7711	0.8850	0.8430	0.2588	0.9907	nan	0.9087	0.6571	0.7934	0.7181	0.2354	0.9799
0.0317	50.0	2700	0.0665	0.7168	0.7840	0.9775	nan	0.9559	0.7693	0.8882	0.8345	0.2653	0.9907	nan	0.9088	0.6583	0.7943	0.7201	0.2393	0.9799

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0