mirror of
https://github.com/Helsinki-NLP/OPUS-MT-train.git
synced 2024-08-17 08:10:57 +03:00
before changing newstest files
This commit is contained in:
Joerg Tiedemann
parent
c6ac424854
commit
daba7f5d8b
@ -285,12 +285,16 @@ OPUSLANGS := ${call get-opus-langs}
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## - DEVSET is the first of the potential devset that exists with sufficient size
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## TODO: what do we do if there is no devset?
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POTENTIAL_DEVSETS = Tatoeba GlobalVoices infopankki wikimedia JW300 bible-uedin
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POTENTIAL_DEVSETS = Tatoeba GlobalVoices infopankki wikimedia TED2020 Europarl OpenSubtitles JW300 bible-uedin
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BIGGER_BITEXTS := ${call get-bigger-bitexts,${SRC},${TRG},${DEVSMALLSIZE}}
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SMALLER_BITEXTS := ${call get-bigger-bitexts,${SRC},${TRG},${DEVMINSIZE}}
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DEVSET ?= ${firstword ${filter ${POTENTIAL_DEVSETS},${BIGGER_BITEXTS}} \
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${filter ${POTENTIAL_DEVSETS},${SMALLER_BITEXTS}}}
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print-potential-datasets:
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@echo "bigger : ${BIGGER_BITEXTS}"
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@echo "smaller : ${SMALLER_BITEXTS}"
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@echo "selected: ${DEVSET}"
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## increase dev/test sets for Tatoeba (very short sentences!)
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@ -648,8 +652,11 @@ endif
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## decoder flags (CPU and GPU variants)
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MARIAN_BEAM_SIZE = 4
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MARIAN_MINI_BATCH = 768
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MARIAN_MAXI_BATCH = 2048
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MARIAN_MINI_BATCH = 512
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MARIAN_MAXI_BATCH = 1024
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# MARIAN_MINI_BATCH = 768
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# MARIAN_MAXI_BATCH = 2048
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ifeq ($(GPU_AVAILABLE),1)
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MARIAN_SCORER_FLAGS = -n1 -d ${MARIAN_GPUS} \
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4
lib/env/puhti.mk
vendored
4
lib/env/puhti.mk
vendored
@ -8,8 +8,8 @@ DATA_PREPARE_HPCPARAMS = CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=5
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DATA_ALIGN_HPCPARAMS = CPUJOB_HPC_CORES=4 CPUJOB_HPC_JOBS=2 CPUJOB_HPC_MEM=64g CPUJOB_HPC_DISK=500
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# CSCPROJECT = project_2002688
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CSCPROJECT = project_2002982
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CSCPROJECT = project_2002688
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# CSCPROJECT = project_2002982
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WORKHOME = ${shell realpath ${PWD}/work}
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GPU = v100
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HPC_QUEUE = small
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@ -59,7 +59,7 @@ elg-all2eng:
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-job-bt; \
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done
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for l in $(filter-out hun mlt,${ELG_EU_SELECTED}); do \
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for l in ${ELG_EU_SELECTED}; do \
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${MAKE} MODELTYPE=transformer-big tatoeba-$${l}2eng-trainjob-bt; \
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done
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for l in ${ELG_EU_SELECTED_BIG}; do \
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@ -69,12 +69,6 @@ elg-all2eng:
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done
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elg-all2spa:
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${MAKE} MODELTYPE=transformer-big TRGLANGS=eng SRCLANGS="cat oci spa" \
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-job-bt
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elg-eng2all-eval1:
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@ -85,58 +79,31 @@ elg-eng2all-eval1:
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done
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elg-eng2all-eval2:
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for l in ${ELG_EU_SELECTED}; do \
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for l in ${ELG_EU_SELECTED} ${ELG_EU_SELECTED_BIG}; do \
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if [ -e ${wildcard work/eng-$$l/*.npz} ]; then \
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${MAKE} MODELTYPE=transformer-big tatoeba-eng2$${l}-evalall-bt.submit; \
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${MAKE} GPUJOB_HPC_MEM=20g WALLTIME=1 MODELTYPE=transformer-big tatoeba-eng2$${l}-evalall-bt.submit; \
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fi \
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done
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elg-all2eng-eval:
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for l in ${ELG_EU_SELECTED} ${ELG_EU_SELECTED_BIG}; do \
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if [ -e ${wildcard work/$${l}-eng/*.npz} ]; then \
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${MAKE} GPUJOB_HPC_MEM=20g WALLTIME=1 MODELTYPE=transformer-big tatoeba-$${l}2eng-evalall-bt.submit; \
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fi \
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done
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elg-eng2xxx-eval:
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${MAKE} WALLTIME=2 MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS="fry ltz nds afr" tatoeba-sublang-eval-bt.submit
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${MAKE} WALLTIME=2 MODELTYPE=transformer-big tatoeba-eng2cel-multieval-bt.submit
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${MAKE} GPUJOB_HPC_MEM=32g WALLTIME=2 MODELTYPE=transformer-big tatoeba-eng2lit-eval-testsets-bt.submit
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elg-eng2missing:
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for l in est lav ron hbs sqi spa fra ita por zlw ara heb deu fin; do \
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${MAKE} MODELTYPE=transformer-big tatoeba-eng2$${l}-trainjob-bt; \
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done
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## test with separate vocabs
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elg-eng2slv:
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${MAKE} MODELTYPE=transformer-big tatoeba-eng2slv-trainjob-bt-separate-spm; \
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elg-missing:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=zlw TRGLANGS=gmq \
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-zlw2gmq-trainjob-bt-pivotlang
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elg-missing2:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS="ces slk" tatoeba-job-bt
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${MAKE} MODELTYPE=transformer-big SRCLANGS=zlw TRGLANGS=gmq \
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-zlw2gmq-trainjob-bt
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## more temp disk and no-restore
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elg-eng2fra:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS=fra \
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MARIAN_EXTRA=--no-restore-corpus \
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-job-bt
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elg-eng2zls:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS=zls \
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MARIAN_EXTRA=--no-restore-corpus \
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tatoeba-job-bt
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elg-eng2heb:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS=heb MARIAN_EXTRA=--no-restore-corpus tatoeba-job-bt
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elg-eng2spa:
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${MAKE} MODELTYPE=transformer-big SRCLANGS=eng TRGLANGS=spa \
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MARIAN_EXTRA=--no-restore-corpus \
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DATA_PREPARE_HPCPARAMS='CPUJOB_HPC_CORES=2 CPUJOB_HPC_MEM=16g CPUJOB_HPC_DISK=1000' \
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tatoeba-job-bt
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@ -228,7 +228,7 @@ ifneq (${SPM_MONO},${SPM_SRCMONO})
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${MAKE} LANGS="${SRCLANGS}" BPESIZE=${SUBWORD_SRCVOCAB_SIZE} mono-spm-model
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endif
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ifneq (${SPMSRCMODEL},${SPM_TRGMONO})
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ifneq (${SPM_SRCMONO},${SPM_TRGMONO})
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ifneq (${SPM_MONO},${SPM_TRGMONO})
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${SPM_TRGMONO}:
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${MAKE} LANGS="${TRGLANGS}" BPESIZE=${SUBWORD_TRGVOCAB_SIZE} mono-spm-model
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60
lib/test.mk
60
lib/test.mk
@ -102,40 +102,46 @@ endif
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rm -f $@.1 $@.2 $@.3
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# print-bleu-scores:
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# grep BLEU ${WORKHOME}/*/*.eval |\
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# sed 's#^${WORKHOME}/##' |\
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# sed 's/\.\([^\.]*\)\.\([^\.]*\)\.\([^\.]*\)\.eval[^ ]* = \([0-9\.]*\).*$$/ \1 \2-\3 \4/' |\
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# sed 's#^\([^/]*\)/\([^\.]*\)\.[^ ]* #\1 \2 #'
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##--------------------------------------------------------------------------------------------
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## some tools for reporting current scores in the work directory
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##
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## make print-bleu-scores ......... print all bleu scores for all tested benchmarks and models
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## make compare-bleu-scores ....... compare scores with best BLEU scores in leaderboard
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## make print-improved-models ..... print model scores that are better than best reported score
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## make print-decreased-models .... print model scores that are worse than best reported score
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##--------------------------------------------------------------------------------------------
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print-bleu-score-table:
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@grep BLEU ${WORKHOME}/*/*.eval |\
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perl -pe 's#^${WORKHOME}/([^/]*)/([^\.]+)\.(.*?-.*?\.)?([^\.]+\.[^\.]+\.[^\.]+)\.([^\.]+)\.([^\.]+)\.eval:.*? = ([0-9\.]+) .*$$#$$5-$$6\t$$7\t$$2\t$$1\t$$4#' |\
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perl -pe '@a=split(/\t/);if($$a[0]=~/multi/){$$a[0]=$$a[3];};$$_=join("\t",@a);' |\
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sort -k3,3 -k1,1 -k2,2nr
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print-bleu-scores:
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grep BLEU ${WORKHOME}/*/*.eval |\
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@make -s print-bleu-score-table |\
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perl -e 'while (<>){@a=split(/\t/);printf "%15s %5.2f %-25s %-15s %s",@a;}'
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LEADERBOARD_DIR = ${REPOHOME}scores
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compare-bleu-score-table:
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@grep BLEU ${WORKHOME}/*/*.eval |\
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perl -pe 's#^${WORKHOME}/([^/]*)/([^\.]+)\.(.*?-.*?\.)?([^\.]+\.[^\.]+\.[^\.]+)\.([^\.]+)\.([^\.]+)\.eval:.*? = ([0-9\.]+) .*$$#$$5-$$6\t$$7\t$$2\t$$1\t$$4#' |\
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perl -pe '@a=split(/\t/);if($$a[0]=~/multi/){$$a[0]=$$a[3];};$$_=join("\t",@a);' |\
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sort -k3,3 -k1,1 -k2,2nr
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perl -pe '@a=split(/\t/);$$a[2]=lc($$a[2]);$$a[2]=~s/^(news.*)\-[a-z]{6}/$$1/;$$a[2]=~s/^(news.*)\-[a-z]{4}/$$1/;if (-e "${LEADERBOARD_DIR}/$$a[0]/$$a[2]/bleu-scores.txt"){$$b=`head -1 ${LEADERBOARD_DIR}/$$a[0]/$$a[2]/bleu-scores.txt | cut -f1`;$$b+=0;}else{$$b=0;}$$d=$$a[1]-$$b;splice(@a,2,0,$$b,$$d);$$_=join("\t",@a);' |\
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sort -k5,5 -k1,1 -k2,2nr
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compare-bleu-scores:
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@make -s compare-bleu-score-table |\
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perl -e 'printf "%15s %5s %5s %6s %-25s %-15s %s","langpair","BLEU","best","diff","testset","dir","model\n";while (<>){@a=split(/\t/);printf "%15s %5.2f %5.2f %6.2f %-25s %-15s %s",@a;}'
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print-improved-models:
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@make -s compare-bleu-scores |\
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grep -v ' 0.00' | grep -v ' -[0-9]'
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pretty-print-bleu-scores:
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grep BLEU ${WORKHOME}/*/*.eval |\
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perl -pe 's#^${WORKHOME}/([^/]*)/([^\.]+)\.(.*?-.*?\.)?([^\.]+\.[^\.]+\.[^\.]+)\.([^\.]+)\.([^\.]+)\.eval:.*? = ([0-9\.]+) .*$$#$$5-$$6\t$$7\t$$2\t$$1\t$$4#' |\
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perl -pe '@a=split(/\t/);if($$a[0]=~/multi/){$$a[0]=$$a[3];};$$_=join("\t",@a);' |\
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sort -k3,3 -k1,1 -k2,2nr |\
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perl -e 'while (<>){@a=split(/\t/);printf "%15s %5.2f %-25s %-15ss %s",@a;}'
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print-bleu-scores2:
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grep BLEU ${WORKHOME}/*/*.eval |\
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perl -pe 's#^${WORKHOME}/([^/]*)/([^\.]+)\.(.*?-.*?\.)?([^\.]+)\.[^\.]+\.([^\.]+)\.([^\.]+)\.([^\.]+)\.eval:.*? = ([0-9\.]+) .*$$#$$6-$$7\t$$8\t$$2\t$$1\t$$4\t$$5#' |\
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perl -pe '@a=split(/\t/);if($$a[0]=~/multi/){$$a[0]=$$a[3];};$$_=join("\t",@a);' |\
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sort -k3,3 -k1,1 -k2,2nr
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pretty-print-bleu-scores2:
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grep BLEU ${WORKHOME}/*/*.eval |\
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perl -pe 's#^${WORKHOME}/([^/]*)/([^\.]+)\.(.*?-.*?\.)?([^\.]+)\.[^\.]+\.([^\.]+)\.([^\.]+)\.([^\.]+)\.eval:.*? = ([0-9\.]+) .*$$#$$6-$$7\t$$8\t$$2\t$$1\t$$4\t$$5#' |\
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perl -pe '@a=split(/\t/);if($$a[0]=~/multi/){$$a[0]=$$a[3];};$$_=join("\t",@a);' |\
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sort -k3,3 -k1,1 -k2,2nr |\
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perl -e 'while (<>){@a=split(/\t/);printf "%15s %5.2f %-25s %-15s %-25s %s",@a;}'
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print-decreased-models:
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@make -s compare-bleu-scores |\
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grep ' -[0-9]'
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18
scores/Makefile
Normal file
18
scores/Makefile
Normal file
@ -0,0 +1,18 @@
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## fix sub-directories for newstests:
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## remove langid extension that causes duplicates
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## --> still need to sort leaderboards again!
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NEWS = ${wildcard *-*/news*-[a-z][a-z][a-z][a-z]}
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move:
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for o in ${NEWS}; do \
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n=`echo $$o | sed 's/\-[a-z][a-z][a-z][a-z]$$//'`; \
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b=`basename $$o`; \
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echo "mkdir -p $$n"; \
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echo "mv $$o/bleu-scores.txt $$n/bleu-scores.$$b.unsorted.txt"; \
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echo "mv $$o/chrf-scores.txt $$n/chrf-scores.$$b.unsorted.txt"; \
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echo "rmdir $$o"; \
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done
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@ -1,3 +1,4 @@
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14.3 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fin/opus4m+btTCv20210807-2022-01-19.zip
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||||
11.1 https://object.pouta.csc.fi/Tatoeba-MT-models/ara-fin/opus-2021-03-07.zip
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7.7 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-2021-02-13.zip
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7.2 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-tuned4ara2fin-2021-03-03.zip
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@ -1,3 +1,4 @@
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||||
0.47923 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.429 https://object.pouta.csc.fi/Tatoeba-MT-models/ara-fin/opus-2021-03-07.zip
|
||||
0.369 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-2021-02-13.zip
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0.360 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-tuned4ara2fin-2021-03-03.zip
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@ -1,3 +1,4 @@
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13.9 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
10.5 https://object.pouta.csc.fi/Tatoeba-MT-models/ara-fin/opus-2021-03-07.zip
|
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6.3 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-2021-02-13.zip
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6.2 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-tuned4ara2fin-2021-03-03.zip
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||||
|
||||
@ -1,3 +1,4 @@
|
||||
0.48597 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.425 https://object.pouta.csc.fi/Tatoeba-MT-models/ara-fin/opus-2021-03-07.zip
|
||||
0.369 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-2021-02-13.zip
|
||||
0.360 https://object.pouta.csc.fi/Tatoeba-MT-models/sem-fiu/opus-tuned4ara2fin-2021-03-03.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
17.2 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
12.6 https://object.pouta.csc.fi/Tatoeba-MT-models/sla-fiu/opus-2021-02-10.zip
|
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11.8 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-10.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
0.51774 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.460 https://object.pouta.csc.fi/Tatoeba-MT-models/sla-fiu/opus-2021-02-10.zip
|
||||
0.454 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-10.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
16.2 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
12.1 https://object.pouta.csc.fi/Tatoeba-MT-models/sla-fiu/opus-2021-02-10.zip
|
||||
11.1 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-10.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
0.51367 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.458 https://object.pouta.csc.fi/Tatoeba-MT-models/sla-fiu/opus-2021-02-10.zip
|
||||
0.451 https://object.pouta.csc.fi/Tatoeba-MT-models/zlw-fiu/opus-2021-02-10.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
20.7 https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
20.1 https://object.pouta.csc.fi/Tatoeba-MT-models/dan-fin/opus-2021-02-18.zip
|
||||
17.3 https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-fiu/opus-2021-02-10.zip
|
||||
|
||||
@ -1,2 +1,3 @@
|
||||
0.54716 https://object.pouta.csc.fi/Tatoeba-MT-models/gmq-fin/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.536 https://object.pouta.csc.fi/Tatoeba-MT-models/dan-fin/opus-2021-02-18.zip
|
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||||
|
||||
@ -1,3 +1,5 @@
|
||||
45.8 https://object.pouta.csc.fi/Tatoeba-MT-models/fin-zle/opus4m+btTCv20210807-2022-01-19.zip
|
||||
42.6 https://object.pouta.csc.fi/Tatoeba-MT-models/fin-rus/opus+bt-2022-01-19.zip
|
||||
42.1 https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-zle/opus-2021-02-11.zip
|
||||
40.9 https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-sla/opus-2021-02-16.zip
|
||||
40.8 https://object.pouta.csc.fi/Tatoeba-MT-models/urj-rus/opus1m-2021-05-16.zip
|
||||
|
||||
@ -1,3 +1,5 @@
|
||||
0.66376 https://object.pouta.csc.fi/Tatoeba-MT-models/fin-zle/opus4m+btTCv20210807-2022-01-19.zip
|
||||
0.64430 https://object.pouta.csc.fi/Tatoeba-MT-models/fin-rus/opus+bt-2022-01-19.zip
|
||||
0.630 https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-zle/opus-2021-02-11.zip
|
||||
0.619 https://object.pouta.csc.fi/Tatoeba-MT-models/fiu-sla/opus-2021-02-16.zip
|
||||
0.614 https://object.pouta.csc.fi/Tatoeba-MT-models/urj-rus/opus1m-2021-05-16.zip
|
||||
|
||||
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