Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.3268	0.49	1000	0.3440	0.7207	0.7602	0.7399	0.8887
0.2763	0.99	2000	0.3083	0.7568	0.7732	0.7649	0.8983
0.2604	1.48	3000	0.3312	0.7309	0.7494	0.7401	0.8909
0.2501	1.98	4000	0.3017	0.7415	0.7956	0.7676	0.9014
0.2269	2.47	5000	0.2930	0.7528	0.7970	0.7743	0.9050
0.223	2.96	6000	0.2963	0.7590	0.7963	0.7772	0.9053
0.2011	3.46	7000	0.2939	0.7627	0.7946	0.7783	0.9079
0.1999	3.95	8000	0.3036	0.7676	0.7903	0.7788	0.9069
0.1815	4.44	9000	0.3125	0.7618	0.7915	0.7764	0.9056
0.1777	4.94	10000	0.3083	0.7748	0.7957	0.7851	0.9098
0.1622	5.43	11000	0.3251	0.7721	0.7909	0.7814	0.9089
0.1598	5.93	12000	0.3197	0.7767	0.7947	0.7856	0.9092
0.145	6.42	13000	0.3366	0.7718	0.7986	0.7850	0.9101
0.1436	6.91	14000	0.3247	0.7776	0.7977	0.7875	0.9112
0.1306	7.41	15000	0.3502	0.7779	0.7958	0.7867	0.9107
0.1311	7.9	16000	0.3585	0.7857	0.7909	0.7883	0.9105
0.12	8.4	17000	0.3717	0.7768	0.7911	0.7839	0.9099
0.1202	8.89	18000	0.3667	0.7796	0.7882	0.7839	0.9100
0.1141	9.38	19000	0.3860	0.7857	0.7900	0.7879	0.9100
0.1113	9.88	20000	0.3824	0.7758	0.7970	0.7862	0.9094
0.1056	10.37	21000	0.4041	0.7740	0.7952	0.7845	0.9084
0.1073	10.86	22000	0.4062	0.7735	0.7929	0.7831	0.9094
0.1063	11.36	23000	0.4197	0.7720	0.7866	0.7793	0.9071
0.1026	11.85	24000	0.4179	0.7625	0.7767	0.7695	0.9040
0.1042	12.35	25000	0.4392	0.7639	0.7748	0.7693	0.9037
0.101	12.84	26000	0.4373	0.7533	0.7795	0.7662	0.9029
0.1003	13.33	27000	0.4554	0.7535	0.7774	0.7653	0.9021
0.0993	13.83	28000	0.4530	0.7555	0.7773	0.7663	0.9019
0.0978	14.32	29000	0.4467	0.7637	0.7843	0.7738	0.9050
0.0946	14.81	30000	0.4521	0.7629	0.7792	0.7710	0.9038

livinNector/IndicBERTv2-MLM-Sam-TLM-NER

IndicBERTv2-MLM-Sam-TLM-NER