transformers/examples/text-classification/run_pl.sh
Bhashithe Abeysinghe ffceef2042
[Fix] text-classification PL example (#6027)
Co-authored-by: Sam Shleifer <sshleifer@gmail.com>
2020-08-06 15:46:43 -04:00

37 lines
1005 B
Bash
Executable File

# Install newest ptl.
pip install -U git+http://github.com/PyTorchLightning/pytorch-lightning/
# Install example requirements
pip install -r ../requirements.txt
# Download glue data
python3 ../../utils/download_glue_data.py
export TASK=mrpc
export DATA_DIR=./glue_data/MRPC/
export MAX_LENGTH=128
export LEARNING_RATE=2e-5
export BERT_MODEL=bert-base-cased
export BATCH_SIZE=32
export NUM_EPOCHS=3
export SEED=2
export OUTPUT_DIR_NAME=mrpc-pl-bert
export CURRENT_DIR=${PWD}
export OUTPUT_DIR=${CURRENT_DIR}/${OUTPUT_DIR_NAME}
# Make output directory if it doesn't exist
mkdir -p $OUTPUT_DIR
# Add parent directory to python path to access lightning_base.py
export PYTHONPATH="../":"${PYTHONPATH}"
python3 run_pl_glue.py --gpus 1 --data_dir $DATA_DIR \
--task $TASK \
--model_name_or_path $BERT_MODEL \
--output_dir $OUTPUT_DIR \
--max_seq_length $MAX_LENGTH \
--learning_rate $LEARNING_RATE \
--num_train_epochs $NUM_EPOCHS \
--train_batch_size $BATCH_SIZE \
--seed $SEED \
--do_train \
--do_predict