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infer.sh
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#for x in fold_10_61_8876 fold_1_60_8897 fold_2_73_8945 fold_3_47_8945 fold_4_73_8923 fold_5_71_8822 fold_6_75_8906 fold_7_80_8846 fold_8_28_8877 fold_9_80_8925
#do
# python evaluate.py \
# --dataset ./data/coai.test_with_noise.sentences.txt \
# --model coai/$x \
# --epoch "" \
# --gpu 6 \
# --span_thres 0.5 \
# --bert_path hfl/chinese-roberta-wwm-ext-large \
# --dump_decisions_instead
#done
#for x in fold_10_27_8913 fold_1_62_8942 fold_2_80_8932 fold_3_36_8911 fold_4_60_8936 fold_5_71_8849 fold_6_80_8943 fold_7_62_8952 fold_8_60_8902 fold_9_23_8970
#do
# python evaluate.py \
# --dataset ./data/coai.test_with_noise.sentences.txt \
# --model coai_onlyp2/$x \
# --epoch "" \
# --gpu 7 \
# --span_thres 0.5 \
# --bert_path hfl/chinese-roberta-wwm-ext-large \
# --dump_decisions_instead
#done
#for x in fold_10_80_8947 fold_1_57_8966 fold_2_76_8889 fold_3_77_8931 fold_4_77_8994 fold_5_43_8855 fold_6_51_8968 fold_7_34_8912 fold_8_79_8934
#do
# python evaluate.py \
# --dataset ./data/coai.test_with_noise.sentences.txt \
# --model coai_p1p2/$x\_extlen \
# --epoch "" \
# --gpu 7 \
# --span_thres 0.5 \
# --bert_path hfl/chinese-roberta-wwm-ext-large \
# --dump_decisions_instead
#done
#for x in fold_9_79_9007
#do
# python evaluate.py \
# --dataset ./data/coai.test_with_noise.sentences.txt \
# --model coai_p1p2/$x \
# --epoch "" \
# --gpu 7 \
# --span_thres 0.5 \
# --bert_path hfl/chinese-roberta-wwm-ext-large \
# --dump_decisions_instead
#done
#for x in fold_10_64_8927 fold_1_71_9022 fold_2_77_8992 fold_3_71_8962 fold_4_68_8986 fold_5_29_8887 fold_6_72_8982 fold_7_39_8948 fold_8_77_8943 fold_9_43_9013
#do
# python evaluate.py \
# --dataset ./data/coai.test_with_noise.sentences.txt \
# --model coai_p1p2_slv1500/$x \
# --epoch "" \
# --gpu 5 \
# --span_thres 0.5 \
# --bert_path hfl/chinese-roberta-wwm-ext-large \
# --dump_decisions_instead
#done