mirror of
https://github.com/huggingface/transformers.git
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dd9d483d03
* doc
* [tests] Add sample files for a regression task
* [HUGE] Trainer
* Feedback from @sshleifer
* Feedback from @thomwolf + logging tweak
* [file_utils] when downloading concurrently, get_from_cache will use the cached file for subsequent processes
* [glue] Use default max_seq_length of 128 like before
* [glue] move DataTrainingArguments around
* [ner] Change interface of InputExample, and align run_{tf,pl}
* Re-align the pl scripts a little bit
* ner
* [ner] Add integration test
* Fix language_modeling with API tweak
* [ci] Tweak loss target
* Don't break console output
* amp.initialize: model must be on right device before
* [multiple-choice] update for Trainer
* Re-align to 827d6d6ef0
37 lines
998 B
Bash
Executable File
37 lines
998 B
Bash
Executable File
# Install newest ptl.
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pip install -U git+http://github.com/PyTorchLightning/pytorch-lightning/
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# 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 $OUTPUT_DIR
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# Add parent directory to python path to access transformer_base.py
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export PYTHONPATH="../":"${PYTHONPATH}"
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python3 run_pl_glue.py --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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