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#!/bin/bash -x
#####################################################################
# SUMMARY: Test learning rate decaying after stalled validation
# AUTHOR: snukky
# TAGS: valid valid-script lr-decay
#####################################################################
# Exit on error
set -e
# Test code goes here
rm -rf lrdecay_stalled lrdecay_stalled.log valid_script.temp
mkdir -p lrdecay_stalled
# Start training with a fully trained model so that validation metrics do not improve easily
cp $MRT_MODELS/wngt19/model.small.npz lrdecay_stalled/model.npz
test -s devset.en || head -n 50 $MRT_MODELS/wngt19/newstest2014.en | sed -r 's/@@ //g' > devset.en
test -s devset.de || head -n 50 $MRT_MODELS/wngt19/newstest2014.de | sed -r 's/@@ //g' > devset.de
# Training sides are intentionaly reversed to test early stopping
$MRT_MARIAN/marian \
--seed 2222 --no-shuffle --clip-norm 1 --maxi-batch 1 --mini-batch 32 -w 2500 \
-m lrdecay_stalled/model.npz -t $MRT_DATA/europarl.de-en/corpus.small.{de,en}.gz \
-v $MRT_MODELS/wngt19/en-de.{spm,spm} \
--disp-freq 5 --valid-freq 10 --after-batches 200 \
--valid-metrics valid-script ce-mean-words \
--valid-script-path ./valid_script.sh \
--valid-sets devset.{en,de} \
--log lrdecay_stalled.log \
--lr-decay 0.9 --lr-decay-start 1 --lr-decay-strategy stalled \
--early-stopping 4
test -e lrdecay_stalled/model.npz
test -e lrdecay_stalled/model.npz.yml
test -e lrdecay_stalled.log
$MRT_TOOLS/strip-timestamps.sh < lrdecay_stalled.log | grep -P '(\[valid\]|Decaying)' > lrdecay_stalled.out
$MRT_TOOLS/diff-nums.py lrdecay_stalled.out lrdecay_stalled.expected -p 0.2 -o lrdecay_stalled.diff
# Exit with success code
exit 0
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