This is expected for character-based models, but somewhat surprising for tokenbased models, given the fact that averaging is a common method for representing mentions in tasks such as entity typing (Shimaoka et al., 2017) or coreference resolution (Clark and Manning, 2016).
bPEmb and characterbased models show higher variance, i.e., they require more careful hyper-parameter tuning to achieve good results.