get_sbert_embedding.sh

MODEL=roberta-large
for k in 16
do
    python tools/get_sbert_embedding.py --sbert_model $MODEL --k $k --task SST-2 sst-5 mr cr mpqa subj trec CoLA MRPC QQP STS-B MNLI SNLI QNLI RTE
    python tools/get_sbert_embedding.py --sbert_model $MODEL --k $k --seed 42 --do_test --task SST-2 sst-5 mr cr mpqa subj trec CoLA MRPC QQP STS-B MNLI SNLI QNLI RTE
done
for K in 16
do
    for seed in 13 21 42 87 100
    do
        for task in SST-2 sst-5 mr cr mpqa subj trec CoLA MRPC QQP STS-B MNLI SNLI QNLI RTE
        do
            cp data/k-compare/k-shot/$task/$K-42/test_sbert-$MODEL.npy  data/k-compare/k-shot/$task/$K-$seed/
        done
        cp data/k-compare/k-shot/MNLI/$K-42/test_matched_sbert-$MODEL.npy  data/k-compare/k-shot/MNLI/$K-$seed/
        cp data/k-compare/k-shot/MNLI/$K-42/test_mismatched_sbert-$MODEL.npy  data/k-compare/k-shot/MNLI/$K-$seed/
    done
done