GLU Variants Improve Transformer

Benchmark Model Rank Results
paraphrase-identification-on-mrpc-glue-devFFN GEGLU#1F1: 92.68
natural-language-inference-on-rte-glue-devFFN GLU#8Accuracy: 84.12
semantic-textual-similarity-on-sts-b-glue-devFFN SwiGLU#8Pearson/Spearman Correlation: 90.23
natural-language-understanding-on-glue-devFFN ReGLU#10GLUE (dev): 84.67
linguistic-acceptability-on-cola-glue-devFFN ReGLU#11Matthews Correlation: 56.16
natural-language-inference-on-multinli-devFFN Bilinear#12Matched: 86.90
natural-language-inference-on-qnli-glue-devFFN SwiGLU#12Accuracy: 92.93
question-answering-on-boolqFFN Bilinear#38Accuracy: 81.53
question-answering-on-squad11-devFFN ReGLU#55F1: 91.18
sentiment-analysis-on-sst-2-binary-classificationFFN ReGLU#89Dev Accuracy: 94.38