Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.2899	1.0	421	0.2622	0.8173	0.8503	0.6039
0.2244	2.0	842	0.2303	0.8472	0.8884	0.6752
0.1662	3.0	1263	0.2332	0.8534	0.8863	0.7078
0.12	4.0	1684	0.2640	0.8517	0.8829	0.6971
0.1192	5.0	2105	0.2712	0.8516	0.8866	0.6954
0.0805	6.0	2526	0.2858	0.8614	0.8967	0.7162
0.0918	7.0	2947	0.2726	0.8625	0.8932	0.7233
0.0814	8.0	3368	0.3005	0.8639	0.8964	0.7090
0.0732	9.0	3789	0.3067	0.8555	0.8981	0.7055
0.0511	10.0	4210	0.2953	0.8645	0.9001	0.7203
0.0516	11.0	4631	0.3022	0.8623	0.8942	0.7167
0.0574	12.0	5052	0.3061	0.8658	0.9024	0.7251
0.0549	13.0	5473	0.3151	0.8625	0.8972	0.7167
0.0387	14.0	5894	0.3201	0.8669	0.9016	0.7274
0.0468	15.0	6315	0.3178	0.8669	0.9028	0.7221
0.0302	16.0	6736	0.3225	0.8658	0.8985	0.7251
0.0332	17.0	7157	0.3233	0.8669	0.9017	0.7292
0.0272	18.0	7578	0.3261	0.8652	0.9010	0.7245
0.0256	19.0	7999	0.3275	0.8656	0.9015	0.7245
0.0273	20.0	8420	0.3275	0.8654	0.9009	0.7251

sercetexam9/roberta-large-finetuned-augmentation

roberta-large-finetuned-augmentation