Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6349	0.2222	20	0.6025	0.7685	0.8155
0.4398	0.4444	40	0.5082	0.7734	0.8173
0.2523	0.6667	60	0.6233	0.7751	0.8162
0.1855	0.8889	80	0.7233	0.7722	0.8127
0.2282	1.1111	100	0.6755	0.7742	0.8147
0.2111	1.3333	120	0.6446	0.7726	0.8122
0.2218	1.5556	140	0.6405	0.7730	0.8120
0.2155	1.7778	160	0.6697	0.7718	0.8116
0.2181	2.0	180	0.6506	0.7718	0.8121
0.2066	2.2222	200	0.6520	0.7718	0.8116
0.2164	2.4444	220	0.6621	0.7714	0.8118
0.2038	2.6667	240	0.6712	0.7710	0.8114
0.21	2.8889	260	0.6707	0.7714	0.8116
0.2037	3.1111	280	0.6775	0.7714	0.8113
0.2055	3.3333	300	0.6732	0.7714	0.8112
0.2072	3.5556	320	0.6748	0.7714	0.8112
0.2093	3.7778	340	0.6706	0.7718	0.8114
0.2119	4.0	360	0.6641	0.7714	0.8110
0.2075	4.2222	380	0.6644	0.7714	0.8112
0.2035	4.4444	400	0.6710	0.7718	0.8116
0.2128	4.6667	420	0.6712	0.7718	0.8112
0.1991	4.8889	440	0.6745	0.7714	0.8110
0.2018	5.1111	460	0.6754	0.7710	0.8104
0.2002	5.3333	480	0.6818	0.7710	0.8104
0.2098	5.5556	500	0.6790	0.7706	0.8100
0.2083	5.7778	520	0.6771	0.7706	0.8100
0.2202	6.0	540	0.6767	0.7706	0.8100

livinNector/xlm-r-dra-tam-mal-aw-classification-finetune-loreft

xlm-r-dra-tam-mal-aw-classification-finetune-loreft