Training Loss	Epoch	Step	Accuracy	F1	Validation Loss	Precision	Recall
0.2279	8.2	500	0.6790	0.5205	1.2508	0.4589	0.6012
0.032	16.39	1000	0.6936	0.5885	1.9637	0.6321	0.5505
0.0073	24.59	1500	0.7351	0.6175	1.6711	0.5795	0.6608
0.0479	32.79	2000	0.7405	0.6422	1.8259	0.6265	0.6586
0.0666	40.98	2500	0.7424	0.6349	1.8343	0.5937	0.6824
0.0006	49.18	3000	0.7475	0.6536	2.0575	0.6512	0.6559
0.0084	57.38	3500	0.7138	0.6415	2.4488	0.6758	0.6106
0.0002	65.57	4000	0.7571	0.6468	1.9641	0.6406	0.6532
0.0005	73.77	4500	2.2976	0.6699	0.6429	0.6561	0.7413
0.0003	81.97	5000	2.1562	0.6287	0.6653	0.6465	0.7468
0.0007	90.16	5500	2.2806	0.6435	0.6689	0.6560	0.7435
0.0002	98.36	6000	2.0508	0.6294	0.6734	0.6506	0.7538
0.0	106.56	6500	2.2626	0.6602	0.6765	0.6683	0.7498
0.0	114.75	7000	2.3467	0.6687	0.6492	0.6588	0.7409
0.0	122.95	7500	2.4430	0.6773	0.6734	0.6754	0.7447
0.0	131.15	8000	2.3653	0.6643	0.6765	0.6704	0.7476
0.0	139.34	8500	2.2903	0.6567	0.6824	0.6693	0.7498
0.0	147.54	9000	2.4458	0.6536	0.6824	0.6677	0.7440
0.0	155.74	9500	2.5953	0.6703	0.6685	0.6694	0.7423
0.0	163.93	10000	2.5588	0.6719	0.6734	0.6726	0.7463

kavg/LiLT-SER-ES

LiLT-SER-ES