xlnet:
	f1: 0.515813953488372
	precision: 0.3555626803462648
	recall: 0.939034716342083
bert:
	f1: 0.5530561236082709
	precision: 0.38524849635960745
	recall: 0.9798711755233495
roberta:
	f1: 0.5284064665127021
	precision: 0.3748361730013106
	recall: 0.8951486697965572
albert:
	f1: 0.5410319410319411
	precision: 0.3913970849626733
	recall: 0.8758949880668258
