Training Loss	Epoch	Step	Accuracy	F1	Validation Loss	Precision	Recall
0.0124	21.74	500	0.8590	0.7403	0.8082	0.7381	0.7426
0.0017	43.48	1000	0.8301	0.7272	1.2608	0.75	0.7057
0.0004	65.22	1500	0.8694	0.7323	0.8843	0.7098	0.7562
0.0	86.96	2000	0.8617	0.7532	1.0638	0.7419	0.7648
0.0001	108.7	2500	0.8580	0.7674	1.1504	0.7689	0.7660
0.0006	130.43	3000	0.8677	0.7479	0.9865	0.7230	0.7746
0.0	152.17	3500	0.8617	0.7558	1.1492	0.7494	0.7623
0.0001	173.91	4000	0.8385	0.7590	1.3124	0.7485	0.7697
0.0055	195.65	4500	1.1331	0.7295	0.7869	0.7571	0.8479
0.0	217.39	5000	1.2061	0.7392	0.7611	0.7500	0.8500
0.0001	239.13	5500	1.2572	0.7253	0.7672	0.7457	0.8482
0.0	260.87	6000	1.3558	0.7494	0.7734	0.7612	0.8569
0.0	282.61	6500	1.4382	0.7598	0.7672	0.7635	0.8589
0.0	304.35	7000	1.4720	0.7537	0.7574	0.7555	0.8533
0.0	326.09	7500	1.3835	0.7524	0.7783	0.7651	0.8579
0.0	347.83	8000	1.2693	0.7534	0.7599	0.7566	0.8599
0.0	369.57	8500	1.2005	0.7417	0.7709	0.7560	0.8600
0.0	391.3	9000	1.2175	0.7560	0.7820	0.7688	0.8601
0.0	413.04	9500	1.2339	0.7556	0.7845	0.7698	0.8601
0.0	434.78	10000	1.2074	0.7639	0.7771	0.7705	0.8627

kavg/LiLT-SER-PT-SIN

LiLT-SER-PT-SIN