Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	95	2.3654	0.4409	0.4409	0.4409	0.4409
No log	2.0	190	1.8455	0.5269	0.5269	0.5269	0.5269
No log	3.0	285	1.4468	0.6344	0.6344	0.6344	0.6344
No log	4.0	380	1.1099	0.7419	0.7419	0.7419	0.7419
No log	5.0	475	1.0515	0.7634	0.7634	0.7634	0.7634
1.6355	6.0	570	0.9938	0.7312	0.7312	0.7312	0.7312
1.6355	7.0	665	0.8275	0.7957	0.7957	0.7957	0.7957
1.6355	8.0	760	0.8344	0.7957	0.7957	0.7957	0.7957
1.6355	9.0	855	0.8516	0.8065	0.8065	0.8065	0.8065
1.6355	10.0	950	0.8723	0.7957	0.7957	0.7957	0.7957
0.2827	11.0	1045	0.8644	0.8387	0.8387	0.8387	0.8387
0.2827	12.0	1140	0.9343	0.8065	0.8065	0.8065	0.8065
0.2827	13.0	1235	1.0181	0.7957	0.7957	0.7957	0.7957
0.2827	14.0	1330	1.0068	0.7957	0.7957	0.7957	0.7957
0.2827	15.0	1425	1.0085	0.8065	0.8065	0.8065	0.8065
0.0485	16.0	1520	1.0257	0.8280	0.8280	0.8280	0.8280
0.0485	17.0	1615	1.0305	0.8172	0.8172	0.8172	0.8172
0.0485	18.0	1710	1.0648	0.7957	0.7957	0.7957	0.7957
0.0485	19.0	1805	1.0677	0.7957	0.7957	0.7957	0.7957
0.0485	20.0	1900	1.0687	0.7957	0.7957	0.7957	0.7957

mnavas/roberta-finetuned-WebClassification-v2-smalllinguaMultiv2

roberta-finetuned-WebClassification-v2-smalllinguaMultiv2