64 lines
1.8 KiB
Bash
Executable File
64 lines
1.8 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 calibration
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for hparams in \
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"--model TransformerSeq2Seq --pretrained_model sshleifer/bart-tiny-random" ;
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do
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# train
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genienlp train \
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$SHARED_TRAIN_HPARAMS \
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--train_tasks almond \
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--train_batch_tokens 100 \
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--val_batch_size 100 \
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--train_iterations 6 \
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--save $workdir/model_$i \
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--data $SRCDIR/dataset/ \
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$hparams
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# greedy prediction
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genienlp predict \
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--tasks almond \
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--evaluate test \
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--path $workdir/model_$i \
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--overwrite \
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--eval_dir $workdir/model_$i/eval_results/ \
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--data $SRCDIR/dataset/ \
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--embeddings $EMBEDDING_DIR \
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--save_confidence_features \
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--confidence_feature_path $workdir/model_$i/confidences.pkl \
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--mc_dropout_num 10
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# check if confidence file exists
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if test ! -f $workdir/model_$i/confidences.pkl ; then
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echo "File not found!"
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exit 1
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fi
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# calibrate
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genienlp calibrate \
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--confidence_path $workdir/model_$i/confidences.pkl \
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--save $workdir/model_$i \
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--testing \
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--name_prefix test_calibrator
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# check if calibrator exists
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if test ! -f $workdir/model_$i/test_calibrator.calib ; then
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echo "File not found!"
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exit 1
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fi
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echo "Testing the server mode after calibration"
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# single example in 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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# batch in server mode
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echo '{"id":"dummy_request_id_1", "instances": [{"example_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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rm -rf $workdir/model_$i
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i=$((i+1))
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done
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