Music Modeling On Nottingham

Metrics

NLL

Parameters

Results

Performance results of various models on this benchmark

			Paper Title
RNN	4.05	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
GRU	3.46	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Transformer	3.34	-	R-Transformer: Recurrent Neural Network Enhanced Transformer
LSTM	3.29	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
TCN	3.07	-	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Seq-U-Net	2.97	1.7M	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
TCN	2.783	1.7M	Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
R-Transformer	2.37	-	R-Transformer: Recurrent Neural Network Enhanced Transformer

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