performance_report.md

Performance on Training Set

Span Level

Label	Precision	Recall	F1-score	Support
DomainMotif	0.907	0.888	0.897	197
FamilyName	0.976	0.980	0.978	815
Gene	0.988	0.976	0.982	2243
macro avg	0.957	0.948	0.953	3255
weighted avg	0.980	0.972	0.976	3255

Token Level

Label	Precision	Recall	F1-score	Support
O	0.999	1.000	0.999	45948
B-DomainMotif	0.974	0.949	0.961	195
I-DomainMotif	0.996	0.989	0.993	536
B-FamilyName	0.993	0.990	0.991	816
I-FamilyName	0.994	0.997	0.996	1829
B-Gene	0.996	0.992	0.994	2239
I-Gene	0.999	0.998	0.998	4411
macro avg	0.993	0.988	0.990	55974
weighted avg	0.999	0.999	0.999	55974

Performance on Validation Set

Span Level

Label	Precision	Recall	F1-score	Support
DomainMotif	0.613	0.568	0.590	81
FamilyName	0.539	0.513	0.526	298
Gene	0.849	0.913	0.880	768
macro avg	0.667	0.665	0.665	1147
weighted avg	0.752	0.785	0.767	1147

Token Level

Label	Precision	Recall	F1-score	Support
O	0.982	0.983	0.982	15288
B-DomainMotif	0.754	0.642	0.693	81
I-DomainMotif	0.846	0.715	0.775	207
B-FamilyName	0.682	0.609	0.643	299
I-FamilyName	0.757	0.666	0.708	637
B-Gene	0.872	0.938	0.904	763
I-Gene	0.886	0.938	0.912	1446
macro avg	0.826	0.784	0.803	18721
weighted avg	0.955	0.956	0.956	18721

Performance on Testing Set

Span Level

Label	Precision	Recall	F1-score	Support
DomainMotif	0.602	0.670	0.634	361
FamilyName	0.497	0.569	0.530	1250
Gene	0.856	0.923	0.888	3225
macro avg	0.651	0.721	0.684	4836
weighted avg	0.744	0.812	0.777	4836

Token Level

Label	Precision	Recall	F1-score	Support
O	0.987	0.973	0.980	57537
B-DomainMotif	0.737	0.761	0.749	360
I-DomainMotif	0.847	0.815	0.831	979
B-FamilyName	0.619	0.674	0.645	1250
I-FamilyName	0.625	0.706	0.663	2481
B-Gene	0.887	0.934	0.910	3231
I-Gene	0.895	0.928	0.911	6028
macro avg	0.799	0.827	0.813	71866
weighted avg	0.953	0.950	0.951	71866