Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	0.37	100	0.5115	0.8204	0.8719	0.8454	0.8200
No log	0.75	200	0.3808	0.8684	0.8766	0.8725	0.8600
No log	1.12	300	0.3315	0.8900	0.8865	0.8882	0.8799
No log	1.49	400	0.3069	0.9036	0.8917	0.8976	0.8921
0.5306	1.87	500	0.2908	0.9066	0.8978	0.9022	0.8980
0.5306	2.24	600	0.2783	0.9114	0.9061	0.9087	0.9048
0.5306	2.61	700	0.2729	0.9151	0.9123	0.9137	0.9096
0.5306	2.99	800	0.2628	0.9157	0.9086	0.9121	0.9077
0.5306	3.36	900	0.2600	0.9207	0.9123	0.9165	0.9107
0.3037	3.73	1000	0.2539	0.9188	0.9134	0.9161	0.9110
0.3037	4.1	1100	0.2488	0.9229	0.9178	0.9203	0.9148
0.3037	4.48	1200	0.2449	0.9225	0.9170	0.9198	0.9146
0.3037	4.85	1300	0.2466	0.9230	0.9177	0.9203	0.9155
0.3037	5.22	1400	0.2415	0.9229	0.9188	0.9208	0.9161
0.2668	5.6	1500	0.2413	0.9237	0.9189	0.9213	0.9164
0.2668	5.97	1600	0.2391	0.9245	0.9186	0.9216	0.9168
0.2668	6.34	1700	0.2399	0.9245	0.9178	0.9211	0.9162
0.2668	6.72	1800	0.2369	0.9239	0.9181	0.9210	0.9164
0.2668	7.09	1900	0.2390	0.9239	0.9183	0.9211	0.9164

jaggernaut007/bert-base-NER-finetuned-ner

bert-base-NER-finetuned-ner