Prompt-BERT: Prompt makes BERT Better at Sentence Embeddings

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Deep LearningPrompt-BERT
Overview

Prompt-BERT: Prompt makes BERT Better at Sentence Embeddings

Results on STS Tasks

Model STS12 STS13 STS14 STS15 STS16 STSb SICK-R Avg.
unsup-prompt-bert-base Download 71.98 84.66 77.13 84.52 81.10 82.03 70.64 78.87
unsup-prompt-roberta-base Download 73.98 84.73 77.88 84.93 81.89 82.74 69.21 79.34
sup-prompt-bert-base Download 75.48 85.59 80.57 85.99 81.08 84.56 80.52 81.97
sup-prompt-roberta-base Download 76.75 85.93 82.28 86.69 82.80 86.14 80.04 82.95

Download Data

cd SentEval/data/downstream/
bash download_dataset.sh
cd -
cd ./data
bash download_wiki.sh
bash download_nli.sh
cd -

Static token embedding with removing embedding biases

robert-base, bert-base-cased and robert-base-uncased

./run.sh roberta-base-embedding-only-remove-baises
./run.sh bert-base-cased-embedding-only-remove-baises
./run.sh bert-base-uncased-embedding-only-remove-baises

Non fine-tuned BERT with Prompt

bert-base-uncased with prompt

./run.sh bert-prompt

bert-base-uncased with optiprompt

./run.sh bert-optiprompt

fine-tuned BERT with Prompt

unsupervised

SEED=0
./run.sh unsup-roberta $SEED
SEED=0
./run.sh unsup-bert $SEED

supervised

./run.sh sup-roberta 
./run.sh sup-bert

Our Code is based on SimCSE

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