Protein Secondary Structure Prediction On 6

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Q3	Q8	Paper Title
ProtT5-XL-UniRef50	0.87	0.77	ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
ProtBert-BFD	0.84	0.73	ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
ProtT5-XL-BFD	0.85	0.74	ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing
DistilProtBert	0.81	-	DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts

0 of 4 row(s) selected.