Training Loss	Epoch	Step	Validation Loss	Accuracy	Tp	Tn	Fp	Fn
0.7145	1.05	20	0.6927	0.5166	0.4172	0.0993	0.3642	0.1192
0.7091	2.11	40	0.6916	0.5166	0.4967	0.0199	0.4437	0.0397
0.7005	3.16	60	0.6943	0.4702	0.1854	0.2848	0.1788	0.3510
0.7106	4.21	80	0.6976	0.4669	0.0033	0.4636	0.0	0.5331
0.7038	5.26	100	0.6933	0.5132	0.3411	0.1722	0.2914	0.1954
0.7012	6.32	120	0.6974	0.4669	0.0033	0.4636	0.0	0.5331
0.7	7.37	140	0.6918	0.5199	0.4768	0.0430	0.4205	0.0596
0.7082	8.42	160	0.6960	0.4702	0.0066	0.4636	0.0	0.5298
0.699	9.47	180	0.6936	0.5199	0.2781	0.2417	0.2219	0.2583
0.7004	10.53	200	0.7043	0.4636	0.0	0.4636	0.0	0.5364
0.6948	11.58	220	0.6907	0.5232	0.5199	0.0033	0.4603	0.0166
0.7132	12.63	240	0.6979	0.4669	0.0033	0.4636	0.0	0.5331
0.7062	13.68	260	0.6930	0.5232	0.3444	0.1788	0.2848	0.1921
0.6983	14.74	280	0.6966	0.4669	0.0033	0.4636	0.0	0.5331
0.6996	15.79	300	0.6927	0.5265	0.3742	0.1523	0.3113	0.1623
0.7039	16.84	320	0.6972	0.4669	0.0033	0.4636	0.0	0.5331
0.6862	17.89	340	0.6914	0.5232	0.4967	0.0265	0.4371	0.0397
0.6943	18.95	360	0.6947	0.4934	0.0430	0.4503	0.0132	0.4934
0.7063	20.0	380	0.6907	0.5232	0.5199	0.0033	0.4603	0.0166
0.7087	21.05	400	0.6947	0.4834	0.0331	0.4503	0.0132	0.5033
0.7033	22.11	420	0.6945	0.4934	0.0464	0.4470	0.0166	0.4901
0.7025	23.16	440	0.6934	0.4967	0.2185	0.2781	0.1854	0.3179
0.7035	24.21	460	0.6944	0.5033	0.0563	0.4470	0.0166	0.4801
0.6958	25.26	480	0.6941	0.5199	0.0795	0.4404	0.0232	0.4570
0.6955	26.32	500	0.6946	0.4868	0.0364	0.4503	0.0132	0.5
0.7046	27.37	520	0.6932	0.5199	0.2715	0.2483	0.2152	0.2649
0.6955	28.42	540	0.6954	0.4702	0.0066	0.4636	0.0	0.5298
0.7095	29.47	560	0.6961	0.4702	0.0066	0.4636	0.0	0.5298
0.6953	30.53	580	0.6919	0.5132	0.4371	0.0762	0.3874	0.0993
0.7124	31.58	600	0.6946	0.4834	0.0331	0.4503	0.0132	0.5033
0.6929	32.63	620	0.6936	0.5265	0.1457	0.3808	0.0828	0.3907
0.7103	33.68	640	0.6926	0.5265	0.3477	0.1788	0.2848	0.1887
0.6993	34.74	660	0.6937	0.5166	0.1192	0.3974	0.0662	0.4172
0.6975	35.79	680	0.6936	0.5199	0.1291	0.3907	0.0728	0.4073
0.6935	36.84	700	0.6937	0.5199	0.1026	0.4172	0.0464	0.4338
0.7039	37.89	720	0.6925	0.5232	0.3642	0.1589	0.3046	0.1722
0.6999	38.95	740	0.6941	0.5099	0.0662	0.4437	0.0199	0.4702
0.6965	40.0	760	0.6948	0.4735	0.0166	0.4570	0.0066	0.5199
0.7039	41.05	780	0.6944	0.4934	0.0430	0.4503	0.0132	0.4934
0.7026	42.11	800	0.6939	0.5199	0.0795	0.4404	0.0232	0.4570
0.7072	43.16	820	0.6930	0.5199	0.2781	0.2417	0.2219	0.2583
0.7064	44.21	840	0.6930	0.5199	0.2781	0.2417	0.2219	0.2583
0.6982	45.26	860	0.6933	0.5199	0.2119	0.3079	0.1556	0.3245
0.6921	46.32	880	0.6935	0.5232	0.1490	0.3742	0.0894	0.3874
0.6983	47.37	900	0.6939	0.5199	0.0762	0.4437	0.0199	0.4603
0.6938	48.42	920	0.6940	0.5132	0.0695	0.4437	0.0199	0.4669
0.6984	49.47	940	0.6940	0.5132	0.0695	0.4437	0.0199	0.4669

Framework versions

Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2

asun17904/multiberts-seed_0_crows_pairs_classifieronly

multiberts-seed_0_crows_pairs_classifieronly

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

asun17904/
multiberts-seed_0_crows_pairs_classifieronly