Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0668	0.13	257	0.0703	0.8962	0.8377	0.8660	0.9767
0.0511	0.25	514	0.0652	0.8348	0.9211	0.8758	0.9760
0.0536	0.38	771	0.0541	0.8800	0.8998	0.8898	0.9802
0.0392	0.5	1028	0.0552	0.8712	0.9226	0.8961	0.9797
0.0433	0.63	1285	0.0538	0.8711	0.9242	0.8968	0.9799
0.0411	0.75	1542	0.0502	0.8850	0.9258	0.9049	0.9807
0.0341	0.88	1799	0.0473	0.9021	0.9166	0.9093	0.9828
0.042	1.0	2056	0.0475	0.9111	0.9154	0.9133	0.9827
0.0277	1.13	2313	0.0486	0.9132	0.9166	0.9149	0.9828
0.026	1.25	2570	0.0484	0.9056	0.9250	0.9152	0.9831
0.0259	1.38	2827	0.0504	0.8986	0.9291	0.9136	0.9824
0.031	1.5	3084	0.0518	0.8889	0.9352	0.9115	0.9819
0.0269	1.63	3341	0.0492	0.8993	0.9338	0.9162	0.9828
0.022	1.75	3598	0.0496	0.9029	0.9307	0.9166	0.9831
0.0228	1.88	3855	0.0494	0.9101	0.9296	0.9198	0.9835
0.0166	2.0	4112	0.0514	0.9095	0.9316	0.9204	0.9835
0.0162	2.13	4369	0.0533	0.9041	0.9329	0.9183	0.9833
0.0144	2.26	4626	0.0545	0.9074	0.9319	0.9195	0.9835
0.0126	2.38	4883	0.0538	0.9044	0.9360	0.9199	0.9836
0.013	2.51	5140	0.0551	0.9085	0.9332	0.9207	0.9834
0.0138	2.63	5397	0.0565	0.9054	0.9351	0.9200	0.9833
0.0144	2.76	5654	0.0544	0.9065	0.9357	0.9209	0.9838
0.0136	2.88	5911	0.0554	0.9085	0.9353	0.9217	0.9838

alexeyak/deberta-v3-base-ner-A

deberta-v3-base-A