Training Loss	Epoch	Step	Validation Loss	Val Accuracy	Val Precision	Val Recall	Val F1
0.1908	1.0	1012	0.4035	0.8904	0.7844	0.5448	0.6430
0.152	2.0	2024	0.4631	0.8930	0.7440	0.6235	0.6784
0.12	3.0	3036	0.5046	0.8879	0.7028	0.6605	0.6810
0.0757	4.0	4048	0.7762	0.8902	0.7438	0.6003	0.6644
0.0557	5.0	5060	0.8961	0.8846	0.7273	0.5802	0.6455
0.0319	6.0	6072	0.8864	0.8916	0.7338	0.6296	0.6777
0.0235	7.0	7084	0.8025	0.8902	0.7348	0.6157	0.6700
0.0125	8.0	8096	1.1034	0.8916	0.7559	0.5926	0.6644
0.0114	9.0	9108	1.1414	0.8882	0.7422	0.5864	0.6552
0.0147	10.0	10120	1.2555	0.8902	0.7401	0.6065	0.6667
0.0068	11.0	11132	1.2923	0.8879	0.7526	0.5679	0.6473
0.0112	12.0	12144	1.3150	0.8890	0.8024	0.5139	0.6265
0.0059	13.0	13156	1.1883	0.8899	0.7396	0.6049	0.6655
0.0056	14.0	14168	1.3822	0.8871	0.7824	0.5216	0.6259
0.0029	15.0	15180	1.4309	0.8888	0.7741	0.5448	0.6395
0.0021	16.0	16192	1.3541	0.8916	0.7529	0.5972	0.6661
0.004	17.0	17204	1.3666	0.8907	0.7384	0.6142	0.6706
0.0022	18.0	18216	1.4396	0.8896	0.7525	0.5818	0.6562
0.0028	19.0	19228	1.4340	0.8910	0.7539	0.5910	0.6626
0.0001	20.0	20240	1.4371	0.8913	0.7554	0.5910	0.6632

kghanlon/green_as_train_context_roberta-large_20e

green_as_train_context_roberta-large_20e