Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1106	1.0	1813	0.1128	0.6050	0.5949	0.5999	0.9565
0.0705	2.0	3626	0.1190	0.6279	0.6122	0.6200	0.9585
0.0433	3.0	5439	0.1458	0.6342	0.5983	0.6157	0.9574
0.0301	4.0	7252	0.1453	0.6305	0.6818	0.6552	0.9594
0.0196	5.0	9065	0.1672	0.6358	0.6871	0.6605	0.9594
0.0133	6.0	10878	0.1931	0.6427	0.6138	0.6279	0.9587
0.0104	7.0	12691	0.1948	0.6657	0.6511	0.6583	0.9607
0.0081	8.0	14504	0.2243	0.6341	0.6574	0.6455	0.9586
0.0054	9.0	16317	0.2432	0.6547	0.6318	0.6431	0.9588
0.0041	10.0	18130	0.2422	0.6717	0.6397	0.6553	0.9605
0.0041	11.0	19943	0.2415	0.6571	0.6420	0.6495	0.9601
0.0027	12.0	21756	0.2567	0.6560	0.6590	0.6575	0.9601
0.0023	13.0	23569	0.2609	0.6640	0.6495	0.6566	0.9606
0.002	14.0	25382	0.2710	0.6542	0.6670	0.6606	0.9598
0.0012	15.0	27195	0.2766	0.6692	0.6539	0.6615	0.9610
0.001	16.0	29008	0.2938	0.6692	0.6415	0.6551	0.9603
0.0007	17.0	30821	0.2969	0.6654	0.6490	0.6571	0.9604
0.0007	18.0	32634	0.3035	0.6628	0.6456	0.6541	0.9601
0.0007	19.0	34447	0.2947	0.6730	0.6489	0.6607	0.9609
0.0004	20.0	36260	0.2983	0.6698	0.6499	0.6597	0.9607

chintagunta85/test_ner3

test_ner3