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* Reorganize example folder * Continue reorganization * Change requirements for tests * Final cleanup * Finish regroup with tests all passing * Copyright * Requirements and readme * Make a full link for the documentation * Address review comments * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Add symlink * Reorg again * Apply suggestions from code review Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com> * Adapt title * Update to new strucutre * Remove test * Update READMEs Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
35 lines
907 B
Bash
Executable File
35 lines
907 B
Bash
Executable File
# Install example requirements
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pip install -r ../requirements.txt
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# Download glue data
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python3 ../../utils/download_glue_data.py
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export TASK=mrpc
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export DATA_DIR=./glue_data/MRPC/
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export MAX_LENGTH=128
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export LEARNING_RATE=2e-5
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export BERT_MODEL=bert-base-cased
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export BATCH_SIZE=32
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export NUM_EPOCHS=3
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export SEED=2
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export OUTPUT_DIR_NAME=mrpc-pl-bert
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export CURRENT_DIR=${PWD}
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export OUTPUT_DIR=${CURRENT_DIR}/${OUTPUT_DIR_NAME}
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# Make output directory if it doesn't exist
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mkdir -p $OUTPUT_DIR
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# Add parent directory to python path to access lightning_base.py
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export PYTHONPATH="../":"${PYTHONPATH}"
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python3 run_glue.py --gpus 1 --data_dir $DATA_DIR \
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--task $TASK \
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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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--learning_rate $LEARNING_RATE \
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--num_train_epochs $NUM_EPOCHS \
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--train_batch_size $BATCH_SIZE \
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--seed $SEED \
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--do_train \
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--do_predict
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