transformers/examples/glue/run_pl.sh
Nathan Raw 930c9412b4
[WIP] Lightning glue example (#3290)
*  Alter base pl transformer to use automodels

* 🐛 Add batch size env variable to function call

* 💄 Apply black code style from Makefile

* 🚚 Move lightning base out of ner directory

*  Add lightning glue example

* 💄 self

* move _feature_file to base class

*  Move eval logging to custom callback

* 💄 Apply black code style

* 🐛 Add parent to pythonpath, remove copy command

* 🐛 Add missing max_length kwarg
2020-03-17 11:46:42 -04:00

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# 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 MODEL_TYPE=bert
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 $OUTPUT_DIR
# Add parent directory to python path to access transformer_base.py
export PYTHONPATH="../":"${PYTHONPATH}"
python3 run_pl_glue.py --data_dir $DATA_DIR \
--model_type $MODEL_TYPE \
--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