Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0726	10.2	500	1.0347	0.6824	0.8359	0.7514	0.7829
0.0015	20.41	1000	1.6415	0.6828	0.8808	0.7692	0.7700
0.0062	30.61	1500	1.7000	0.7063	0.8427	0.7685	0.7828
0.0145	40.82	2000	1.9098	0.6979	0.8885	0.7817	0.7729
0.0014	51.02	2500	1.6868	0.7117	0.8509	0.7751	0.7859
0.0009	61.22	3000	1.8930	0.7087	0.8441	0.7705	0.7782
0.0001	71.43	3500	2.0325	0.7217	0.8736	0.7904	0.7845
0.0006	81.63	4000	1.8854	0.7032	0.8769	0.7805	0.7904
0.0001	91.84	4500	2.2205	0.6977	0.8721	0.7752	0.7577
0.0002	102.04	5000	2.1731	0.7090	0.8702	0.7814	0.7786
0.0	112.24	5500	2.3198	0.7150	0.8707	0.7852	0.7681
0.0003	122.45	6000	1.9680	0.7188	0.8649	0.7851	0.7896
0.0	132.65	6500	2.2202	0.7316	0.8523	0.7873	0.7815
0.0	142.86	7000	2.2800	0.7013	0.8818	0.7813	0.7727
0.0	153.06	7500	2.2149	0.7202	0.8784	0.7915	0.7790
0.0	163.27	8000	2.2384	0.7264	0.8663	0.7902	0.7834
0.0001	173.47	8500	2.2177	0.7269	0.8682	0.7913	0.7842
0.0	183.67	9000	2.2768	0.7333	0.8731	0.7971	0.7872
0.0	193.88	9500	2.2996	0.7344	0.8716	0.7972	0.7878
0.0	204.08	10000	2.3482	0.7244	0.8755	0.7928	0.7835

kavg/LiLT-SER-JA

LiLT-SER-JA