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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Music Modeling On Nottingham

평가 지표

NLL

Parameters

평가 결과

이 벤치마크에서 각 모델의 성능 결과

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

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Music Modeling On Nottingham | SOTA | HyperAI초신경