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
19 lines
490 B
Bash
Executable File
19 lines
490 B
Bash
Executable File
export OUTPUT_DIR_NAME=bart_sum
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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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python finetune.py \
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--data_dir=./cnn-dailymail/cnn_dm \
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--model_name_or_path=bart-large \
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--learning_rate=3e-5 \
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--train_batch_size=4 \
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--eval_batch_size=4 \
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--output_dir=$OUTPUT_DIR \
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--do_train $@
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