Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.6971	0.7030	100	0.1416	0.9555	0.9499	0.9473	0.9526
0.6971	1.4060	200	0.0972	0.9703	0.9662	0.9693	0.9632
0.6971	2.1090	300	0.0858	0.9746	0.9710	0.9759	0.9664
0.6971	2.8120	400	0.0788	0.9759	0.9725	0.9771	0.9682
0.6971	3.5149	500	0.0770	0.9768	0.9734	0.9796	0.9679
0.1199	4.2179	600	0.0996	0.9752	0.9715	0.9775	0.9661
0.1199	4.9209	700	0.0861	0.9764	0.9730	0.9781	0.9682
0.1199	5.6239	800	0.1173	0.9697	0.9657	0.9653	0.9661
0.1199	6.3269	900	0.0915	0.9767	0.9733	0.9800	0.9673
0.1199	7.0299	1000	0.1160	0.9737	0.9701	0.9717	0.9687
0.1199	7.7329	1100	0.1148	0.9734	0.9698	0.9706	0.9690
0.0441	8.4359	1200	0.1221	0.9755	0.9721	0.9746	0.9697
0.0441	9.1388	1300	0.1341	0.9717	0.9678	0.9686	0.9670
0.0441	9.8418	1400	0.1256	0.9758	0.9724	0.9754	0.9696
0.0441	10.5448	1500	0.1319	0.9737	0.9701	0.9718	0.9685
0.0441	11.2478	1600	0.1496	0.9764	0.9731	0.9763	0.9700
0.0441	11.9508	1700	0.1437	0.9758	0.9725	0.9753	0.9698
0.022	12.6538	1800	0.1530	0.9748	0.9713	0.9745	0.9683
0.022	13.3568	1900	0.1603	0.9747	0.9712	0.9742	0.9684
0.022	14.0598	2000	0.1542	0.9726	0.9690	0.9690	0.9690
0.022	14.7627	2100	0.1621	0.9756	0.9722	0.9754	0.9692
0.022	15.4657	2200	0.1703	0.9756	0.9722	0.9752	0.9694
0.0118	16.1687	2300	0.1723	0.9721	0.9684	0.9685	0.9682
0.0118	16.8717	2400	0.1615	0.9757	0.9723	0.9748	0.9700
0.0118	17.5747	2500	0.1687	0.9748	0.9714	0.9733	0.9696
0.0118	18.2777	2600	0.1674	0.9756	0.9722	0.9743	0.9702
0.0118	18.9807	2700	0.1728	0.9756	0.9722	0.9742	0.9704
0.0118	19.6837	2800	0.1713	0.9757	0.9723	0.9748	0.9700

ace-in-the-hole/cita_XLM-Phishlang-46000

cita_XLM-Phishlang-46000