Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.4684	0.05	400	0.3956	0.6972	0.6926	0.6949	0.8720
0.3901	0.1	800	0.3706	0.7099	0.7338	0.7216	0.8811
0.3658	0.15	1200	0.3551	0.7349	0.7388	0.7369	0.8854
0.3535	0.21	1600	0.3445	0.7333	0.7458	0.7395	0.8875
0.3512	0.26	2000	0.3353	0.7547	0.7408	0.7477	0.8917
0.3377	0.31	2400	0.3302	0.7417	0.7636	0.7525	0.8916
0.3297	0.36	2800	0.3279	0.7681	0.7330	0.7501	0.8931
0.3331	0.41	3200	0.3252	0.7448	0.7833	0.7636	0.8961
0.3247	0.46	3600	0.3210	0.7479	0.7847	0.7659	0.8960
0.3175	0.51	4000	0.3155	0.7684	0.7597	0.7640	0.8975
0.3142	0.57	4400	0.3113	0.7510	0.7833	0.7668	0.8977
0.315	0.62	4800	0.3131	0.7574	0.7830	0.7700	0.8969
0.3078	0.67	5200	0.3155	0.7569	0.7821	0.7693	0.8980
0.3101	0.72	5600	0.3117	0.7708	0.7730	0.7719	0.8990
0.3078	0.77	6000	0.3070	0.7665	0.7824	0.7744	0.8992
0.304	0.82	6400	0.3055	0.7680	0.7875	0.7776	0.8992
0.2954	0.87	6800	0.3019	0.7675	0.7929	0.7800	0.9002
0.2955	0.93	7200	0.3107	0.7804	0.7755	0.7779	0.9000
0.2979	0.98	7600	0.2992	0.7721	0.7931	0.7825	0.9021
0.2816	1.03	8000	0.3022	0.7695	0.7971	0.7831	0.9029
0.2768	1.08	8400	0.3043	0.7538	0.8045	0.7783	0.9003
0.2775	1.13	8800	0.2990	0.7687	0.8003	0.7842	0.9024
0.2704	1.18	9200	0.2948	0.7724	0.7987	0.7853	0.9023
0.2734	1.23	9600	0.2932	0.7764	0.7993	0.7877	0.9041
0.2746	1.29	10000	0.2918	0.7841	0.7949	0.7894	0.9046
0.2678	1.34	10400	0.2909	0.7775	0.8039	0.7905	0.9046
0.272	1.39	10800	0.2909	0.7786	0.7952	0.7868	0.9034
0.2636	1.44	11200	0.2900	0.7815	0.7959	0.7886	0.9044
0.2663	1.49	11600	0.2863	0.7747	0.8086	0.7913	0.9047
0.2617	1.54	12000	0.2876	0.7759	0.8042	0.7898	0.9051
0.2634	1.59	12400	0.2896	0.7677	0.8123	0.7894	0.9038
0.2651	1.65	12800	0.2871	0.7799	0.8024	0.7910	0.9058
0.2676	1.7	13200	0.2870	0.7863	0.8008	0.7935	0.9061
0.273	1.75	13600	0.2836	0.7804	0.8108	0.7953	0.9064
0.2611	1.8	14000	0.2821	0.7821	0.8052	0.7935	0.9064
0.2683	1.85	14400	0.2815	0.7791	0.8108	0.7946	0.9064
0.2624	1.9	14800	0.2818	0.7819	0.8090	0.7952	0.9071
0.2628	1.95	15200	0.2821	0.7818	0.8089	0.7951	0.9070

Framework versions

Transformers 4.29.2
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3

AnanthZeke/tabert-500-naamapadam

tabert-500-naamapadam

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

AnanthZeke/
tabert-500-naamapadam