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36 lines
1.4 KiB
Bash
36 lines
1.4 KiB
Bash
# Install newest ptl.
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pip install -U git+http://github.com/PyTorchLightning/pytorch-lightning/
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curl -L 'https://sites.google.com/site/germeval2014ner/data/NER-de-train.tsv?attredirects=0&d=1' \
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| grep -v "^#" | cut -f 2,3 | tr '\t' ' ' > train.txt.tmp
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curl -L 'https://sites.google.com/site/germeval2014ner/data/NER-de-dev.tsv?attredirects=0&d=1' \
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| grep -v "^#" | cut -f 2,3 | tr '\t' ' ' > dev.txt.tmp
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curl -L 'https://sites.google.com/site/germeval2014ner/data/NER-de-test.tsv?attredirects=0&d=1' \
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| grep -v "^#" | cut -f 2,3 | tr '\t' ' ' > test.txt.tmp
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wget "https://raw.githubusercontent.com/stefan-it/fine-tuned-berts-seq/master/scripts/preprocess.py"
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export MAX_LENGTH=128
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export BERT_MODEL=bert-base-multilingual-cased
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python3 preprocess.py train.txt.tmp $BERT_MODEL $MAX_LENGTH > train.txt
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python3 preprocess.py dev.txt.tmp $BERT_MODEL $MAX_LENGTH > dev.txt
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python3 preprocess.py test.txt.tmp $BERT_MODEL $MAX_LENGTH > test.txt
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cat train.txt dev.txt test.txt | cut -d " " -f 2 | grep -v "^$"| sort | uniq > labels.txt
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export OUTPUT_DIR=germeval-model
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export BATCH_SIZE=32
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export NUM_EPOCHS=3
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export SAVE_STEPS=750
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export SEED=1
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python3 run_pl_ner.py --data_dir ./ \
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--model_type bert \
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--labels ./labels.txt \
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--model_name_or_path $BERT_MODEL \
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--output_dir $OUTPUT_DIR \
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--max_seq_length $MAX_LENGTH \
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--num_train_epochs $NUM_EPOCHS \
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--train_batch_size 32 \
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--save_steps $SAVE_STEPS \
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--seed $SEED \
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--do_train \
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--do_predict
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