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transformers
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/finetune_pegasus_xsum.sh
export PYTHONPATH="../":"${PYTHONPATH}" | |
# From appendix C of paper https://arxiv.org/abs/1912.08777 | |
# Set --gradient_accumulation_steps so that effective batch size is 256 (2*128, 4*64, 8*32, 16*16) | |
python finetune.py \ | |
--learning_rate=1e-4 \ | |
--do_train \ | |
--do_predict \ | |
--n_val 1000 \ | |
--val_check_interval 0.25 \ | |
--max_source_length 512 --max_target_length 56 \ | |
--freeze_embeds --label_smoothing 0.1 --adafactor --task summarization_xsum \ | |
"$@" | |