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* Add new token classification example * Remove txt file * Add test * With actual testing done * Less warmup is better * Update examples/token-classification/run_ner_new.py Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com> * Address review comments * Fix test * Make Lysandre happy * Last touches and rename * Rename in tests * Address review comments * More run_ner -> run_ner_old Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
38 lines
1019 B
Bash
Executable File
38 lines
1019 B
Bash
Executable File
if ! [ -f ./dev.txt ]; then
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echo "Download dev dataset...."
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curl -L -o ./dev.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-dev.conllu'
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fi
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if ! [ -f ./test.txt ]; then
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echo "Download test dataset...."
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curl -L -o ./test.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-test.conllu'
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fi
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if ! [ -f ./train.txt ]; then
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echo "Download train dataset...."
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curl -L -o ./train.txt 'https://github.com/UniversalDependencies/UD_English-EWT/raw/master/en_ewt-ud-train.conllu'
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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=postagger-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 _old.py \
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--task_type POS \
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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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