[BERT4Rec, ALBERT4Rec] Intermediate size set to default and head number does not fit

[vladyorsh]

As far as I understood, the model implementations for "ours" BERT4Rec and ALBERT4Rec tests on ML-1M use the model code located at recommenders/dnn_sequential_recommender/models. While the evaluation configs pass the intermediate_size parameter to models' constructors, it doesn't get propagated to the HF model config and remains default (3072 for BERT and 16384 for ALBERT). The configs also use the default head number, which is 2 for BERT4Rec (same as declared in the replicability paper) but 16 for ALBERT4Rec.

[asash]

Thanks, I'll check that.