autoprompt / scripts /run_relation_extraction_example.sh
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#!/bin/bash
# Experiment 9
# Task: relation extraction
# Model: BERT
# Batch size: 32
# Iters: 500
# Filtering: True
datadir=$1
logfile=$2
# Clear files
cat /dev/null > $logfile
cat /dev/null > ${logfile}.log
for path in $datadir/*; do
filename=$(basename "$path")
time CUDA_VISIBLE_DEVICES=4 python -m autoprompt.create_trigger \
--train $path/train.jsonl \
--dev $path/dev.jsonl \
--template '[CLS] {context} [SEP] {sub_label} [T] [T] [T] [T] [T] [P] . [SEP]' \
--num-cand 10 \
--accumulation-steps 1 \
--model-name bert-base-cased \
--bsz 32 \
--eval-size 32 \
--iters 500 \
--label-field 'obj_label' \
--tokenize-labels \
--filter \
--print-lama \
--use-ctx >> $logfile 2>> ${logfile}.log
done