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#!/usr/bin/env bash
#
# Copyright (c) 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
# This script applies quantization to the models from Table 1 in:
# Bag of Tricks for Efficient Text Classification, arXiv 1607.01759, 2016
set -e
DATASET=(
ag_news
sogou_news
dbpedia
yelp_review_polarity
yelp_review_full
yahoo_answers
amazon_review_full
amazon_review_polarity
)
# These learning rates were chosen by validation on a subset of the training set.
LR=( 0.25 0.5 0.5 0.1 0.1 0.1 0.05 0.05 )
RESULTDIR=result
DATADIR=data
echo 'Warning! Make sure you run the classification-results.sh script before this one'
echo 'Otherwise you can expect the commands in this script to fail'
for i in {0..7}
do
echo "Working on dataset ${DATASET[i]}"
../../fasttext quantize -input "${DATADIR}/${DATASET[i]}.train" \
-output "${RESULTDIR}/${DATASET[i]}" -lr "${LR[i]}" \
-thread 4 -qnorm -retrain -epoch 5 -cutoff 100000 > /dev/null
../../fasttext test "${RESULTDIR}/${DATASET[i]}.ftz" \
"${DATADIR}/${DATASET[i]}.test"
done
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