44 lines
2.0 KiB
Bash
Executable File
44 lines
2.0 KiB
Bash
Executable File
#!/usr/bin/env bash
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. ./tests/lib.sh
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i=0
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# test almond task
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for hparams in \
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"--model TransformerSeq2Seq --pretrained_model sshleifer/bart-tiny-random" \
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"--model TransformerSeq2Seq --pretrained_model sshleifer/bart-tiny-random --preprocess_special_tokens --almond_detokenize_sentence" \
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"--model TransformerLSTM --pretrained_model bert-base-cased --trainable_decoder_embeddings=50 --num_beams 4 --num_beam_groups 4 --num_outputs 4 --diversity_penalty 1.0" \
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"--model TransformerLSTM --pretrained_model bert-base-cased --trainable_decoder_embeddings=50 --override_question ." \
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"--model TransformerLSTM --pretrained_model xlm-roberta-base --trainable_decoder_embeddings=50 --eval_set_name aux" ;
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do
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# train
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genienlp train --train_tasks almond --train_batch_tokens 100 --val_batch_size 100 --train_iterations 4 --preserve_case --save_every 2 --log_every 2 --val_every 2 --save $workdir/model_$i --data $SRCDIR/dataset/ $hparams --exist_ok --skip_cache --embeddings $EMBEDDING_DIR --no_commit
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# greedy prediction
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genienlp predict --tasks almond --evaluate test --path $workdir/model_$i --overwrite --eval_dir $workdir/model_$i/eval_results/ --data $SRCDIR/dataset/ --embeddings $EMBEDDING_DIR --skip_cache
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# check if result file exists
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if test ! -f $workdir/model_$i/eval_results/test/almond.tsv ; then
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echo "File not found!"
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exit 1
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fi
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if [ $i == 0 ] ; then
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echo "Testing export"
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genienlp export --path $workdir/model_$i --output $workdir/model_$i_exported
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echo "Testing the server mode"
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echo '{"id": "dummy_example_1", "context": "show me .", "question": "translate to thingtalk", "answer": "now => () => notify"}' | genienlp server --path $workdir/model_$i --stdin
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fi
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if [ $i == 2 ] ; then
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# check if predictions matches expected_results
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diff -u $SRCDIR/expected_results/almond/bert_base_cased_beam.tsv $workdir/model_$i/eval_results/test/almond.tsv
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fi
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rm -rf $workdir/model_$i $workdir/model_"$i"_exported
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i=$((i+1))
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done
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