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#!/bin/bash -x
#####################################################################
# SUMMARY: Train a model on TSV data with sentence weighting
# TAGS: sentencepiece tsv train dataweights
#####################################################################
# Exit on error
set -e
# Remove old artifacts and create working directory
rm -rf train_weights0 train_weights0.{log,out,diff}
mkdir -p train_weights0
# Run marian command
$MRT_MARIAN/marian \
--cost-type ce-mean --no-shuffle --seed 5555 --dim-emb 32 --dim-rnn 64 --maxi-batch 1 --maxi-batch-sort none --optimizer sgd --learn-rate 0.1 \
-m train_weights0/model.npz --tsv -t train2.w-de-en.tsv -v $MRT_MODELS/rnn-spm/vocab.deen.{spm,spm} \
--after-batches 100 --disp-freq 4 \
--data-weighting 0 --data-weighting-type sentence \
--log train_weights0.log
# Check if files exist
test -e train_weights0/model.npz
test -e train_weights0.log
grep -qi "weights from" train_weights0.log
# Compare the current output with the expected output
cat train_weights0.log | $MRT_TOOLS/extract-costs.sh > train_weights0.out
$MRT_TOOLS/diff-nums.py train_weights0.out train_weights.expected -p 0.01 -o train_weights0.diff
# Exit with success code
exit 0
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