Language Modelling On One Billion Word

Number of params

PPL

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle

Modellname	Number of params	PPL
omninet-omnidirectional-representations-from	100M	21.5
exploring-the-limits-of-language-modeling	1.04B	30.0
Modell 3	-	25.06
transformer-xl-attentive-language-models	0.8B	21.8
transformer-xl-attentive-language-models	0.46B	23.5
adaptive-input-representations-for-neural	0.46B	23.91
pay-less-attention-with-lightweight-and	0.34B	26.67
adaptive-input-representations-for-neural	1.0B	23.02
one-billion-word-benchmark-for-measuring	20B	51.3
omninet-omnidirectional-representations-from	-	22
language-models-are-unsupervised-multitask	1.54B	42.16
the-evolved-transformer	-	28.6
omninet-omnidirectional-representations-from	100M	21.6
mesh-tensorflow-deep-learning-for	4.9B	24.0
when-attention-meets-fast-recurrence-training	465M	23.5
outrageously-large-neural-networks-the	5B	34.1
factorization-tricks-for-lstm-networks	-	36.0
exploring-the-limits-of-language-modeling	1.8B	30.6
language-modeling-with-gated-convolutional	-	31.9
skip-gram-language-modeling-using-sparse-non	33B	52.9
outrageously-large-neural-networks-the	5B	28.0
h-transformer-1d-fast-one-dimensional	53M	-
when-attention-meets-fast-recurrence-training	328M	25.1
simple-and-effective-masked-diffusion	110M	20.09
simple-and-effective-masked-diffusion	110M	23.00
h-transformer-1d-fast-one-dimensional	144M	-
exploring-the-limits-of-language-modeling	43B	23.7