Observe that, when n < 5, the model suffers from insufficient capacity (not enough memory chains) to capture the various aspects required by the task, with aspect detection F 1 remaining below 78.
when n = 2 (no unconstrained chains), model performance drops substantially to a F 1 of 76.6 ± 0.4.