Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.1164	1.0	1234	0.1290	0.6049	0.7572	0.6726	0.9612
0.0637	2.0	2468	0.1195	0.7329	0.7507	0.7417	0.9693
0.0364	3.0	3702	0.1288	0.6905	0.7683	0.7274	0.9698
0.0219	4.0	4936	0.1475	0.7554	0.7848	0.7699	0.9730
0.0172	5.0	6170	0.1592	0.7596	0.7977	0.7782	0.9743
0.0115	6.0	7404	0.1980	0.7488	0.7493	0.7491	0.9697
0.0097	7.0	8638	0.1754	0.7728	0.7758	0.7743	0.9725
0.0069	8.0	9872	0.1872	0.7473	0.7862	0.7663	0.9717
0.0058	9.0	11106	0.1870	0.7797	0.8079	0.7936	0.9744
0.0039	10.0	12340	0.2041	0.7741	0.7937	0.7837	0.9735
0.0039	11.0	13574	0.2263	0.7836	0.7964	0.7899	0.9741
0.0021	12.0	14808	0.2201	0.7867	0.7769	0.7818	0.9720
0.002	13.0	16042	0.2060	0.7842	0.7957	0.7899	0.9738
0.0015	14.0	17276	0.2047	0.7862	0.8204	0.8029	0.9750
0.001	15.0	18510	0.2270	0.7732	0.8068	0.7896	0.9743
0.0007	16.0	19744	0.2402	0.7983	0.8122	0.8052	0.9745
0.0008	17.0	20978	0.2235	0.7874	0.8244	0.8055	0.9751
0.0005	18.0	22212	0.2303	0.7956	0.8181	0.8067	0.9750
0.0001	19.0	23446	0.2424	0.8012	0.8133	0.8072	0.9751
0.0003	20.0	24680	0.2420	0.8000	0.8188	0.8093	0.9751

chymaks/IgboBERT-NER-finetuned-Final-Version

IgboBERT-NER-finetuned-Final-Version