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SOTA Character-level Language Modeling benchmarks and papers with code | Wizwand
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Character-level Language Modeling
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
enwik8 (test)
Transformer-XL + RMS dynamic eval + decay
BPC
0.94
195
1mo ago
text8 (test)
Transformer-XL + RMS dynamic eval + decay
BPC
1.038
128
1mo ago
Penn Treebank (test)
3 layer LSTM
BPC
1.175
113
1mo ago
Shakespeare modern
SGHMC
Accuracy
55.63
48
1mo ago
Hutter Prize Wikipedia (test)
mLSTM
Bits/Char
1.08
28
1mo ago
Shakespeare (val)
Byz-NSGDM
Perplexity
10.08
27
16d ago
Penn Treebank char-level (test)
dense-IndRNN
BPC
1.16
25
1mo ago
text8
GPT2
BPC
0.98
16
1mo ago
Enwik8 (val)
Adaptive Transformer
BPC
1.04
15
1mo ago
text8 (dev)
Transformer + adaptive span
BPC
1.01
13
1mo ago
enwik8 (train)
RWKV-RNN
BPC
0.72
12
1mo ago
enwik8 (dev)
Adaptive
BPC
1
10
1mo ago
Penn Treebank character-level (val)
LayerNorm HM-LSTM
BPC
1.24
10
1mo ago
Tiny Shakespeare (val)
MPO
Validation Loss
1.85
5
18d ago
Billion Words (test)
DGflow
JS Divergence (Context 4)
0.186
4
1mo ago
WikiText-2 (val)
Transformer
PPL (Validation)
3.49
3
1mo ago
Penn Treebank Char-level
2-LayerNorm HyperLSTM
BPC
1.22
2
1mo ago
Shakespeare character corpus Domain B Shifted synthetic names (Adaptation)
APN
Adaptation PPL
6.38
2
1mo ago
Shakespeare character corpus Domain A Original Shakespeare (Retention)
APN
Retention PPL
11.12
2
1mo ago
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