Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	407	0.0539	0.8283	0.8758	0.8514	0.9866
0.1524	2.0	814	0.0333	0.8931	0.9123	0.9026	0.9915
0.0381	3.0	1221	0.0345	0.8835	0.9280	0.9052	0.9906
0.0179	4.0	1628	0.0351	0.8890	0.9361	0.9119	0.9909
0.0089	5.0	2035	0.0310	0.9102	0.9372	0.9235	0.9924
0.0089	6.0	2442	0.0344	0.9198	0.9383	0.9289	0.9922
0.0057	7.0	2849	0.0331	0.9144	0.9448	0.9294	0.9931
0.0039	8.0	3256	0.0340	0.9144	0.9481	0.9309	0.9928
0.0027	9.0	3663	0.0423	0.9032	0.9481	0.9251	0.9921
0.0018	10.0	4070	0.0373	0.9047	0.9507	0.9271	0.9923
0.0018	11.0	4477	0.0448	0.8932	0.9474	0.9195	0.9910
0.0014	12.0	4884	0.0380	0.9079	0.9474	0.9272	0.9928
0.0015	13.0	5291	0.0360	0.9231	0.9474	0.9351	0.9936
0.0013	14.0	5698	0.0378	0.9243	0.9456	0.9348	0.9935
0.0013	15.0	6105	0.0414	0.9197	0.9496	0.9344	0.9930
0.0009	16.0	6512	0.0405	0.9202	0.9478	0.9338	0.9929
0.0009	17.0	6919	0.0385	0.9305	0.9441	0.9373	0.9933
0.0006	18.0	7326	0.0407	0.9285	0.9437	0.9360	0.9934
0.0009	19.0	7733	0.0428	0.9203	0.9488	0.9343	0.9929
0.0006	20.0	8140	0.0455	0.9232	0.9536	0.9382	0.9928
0.0004	21.0	8547	0.0462	0.9261	0.9529	0.9393	0.9930
0.0004	22.0	8954	0.0423	0.9359	0.9492	0.9425	0.9940
0.0005	23.0	9361	0.0446	0.9180	0.9529	0.9351	0.9931
0.0005	24.0	9768	0.0430	0.9361	0.9467	0.9413	0.9938
0.0002	25.0	10175	0.0436	0.9322	0.9496	0.9408	0.9935
0.0002	26.0	10582	0.0440	0.9275	0.9492	0.9382	0.9935
0.0002	27.0	10989	0.0450	0.9272	0.9488	0.9379	0.9932
0.0002	28.0	11396	0.0445	0.9304	0.9470	0.9386	0.9935
0.0003	29.0	11803	0.0449	0.9278	0.9481	0.9378	0.9934
0.0001	30.0	12210	0.0453	0.9275	0.9492	0.9382	0.9934

yubol/bert-finetuned-ner-30

bert-finetuned-ner