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Models/TRANS-BLSTM

TRANS-BLSTM

Reported on 8 benchmarks across 4 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing5 results

Text ClassificationonGLUE SST2
Accuracy· 2020-03-16
94.38
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
Text ClassificationonGLUE RTE
Accuracy· 2020-03-16
79.78
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
Text ClassificationonGLUE MRPC
Accuracy· 2020-03-16
90.45
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
Semantic Textual SimilarityonQuora Question Pairs
Accuracy· 2020-03-16
88.28
best: 92.4 (data2vec)
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
Paraphrase IdentificationonQuora Question Pairs
Accuracy· 2020-03-16
88.28
best: 92.4 (data2vec)
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000

Methodology3 results

ClassificationonGLUE SST2
Accuracy· 2020-03-16
94.38
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
ClassificationonGLUE RTE
Accuracy· 2020-03-16
79.78
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000
ClassificationonGLUE MRPC
Accuracy· 2020-03-16
90.45
SOTA
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding arXiv:2003.07000