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eda07efaa5
* Add more token classification examples * POS tagging example * Phrase chunking example * PR review fixes * Add conllu to third party list (used in token classification examples)
38 lines
1.0 KiB
Bash
Executable File
38 lines
1.0 KiB
Bash
Executable File
if ! [ -f ./dev.txt ]; then
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echo "Downloading CONLL2003 dev dataset...."
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curl -L -o ./dev.txt 'https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/valid.txt'
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fi
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if ! [ -f ./test.txt ]; then
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echo "Downloading CONLL2003 test dataset...."
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curl -L -o ./test.txt 'https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/test.txt'
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fi
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if ! [ -f ./train.txt ]; then
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echo "Downloading CONLL2003 train dataset...."
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curl -L -o ./train.txt 'https://github.com/davidsbatista/NER-datasets/raw/master/CONLL2003/train.txt'
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fi
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export MAX_LENGTH=200
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export BERT_MODEL=bert-base-uncased
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export OUTPUT_DIR=chunker-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_ner.py \
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--task_type Chunk \
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--data_dir . \
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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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--per_gpu_train_batch_size $BATCH_SIZE \
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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_eval \
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--do_predict
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