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pre_train.sh 323 B

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  1. #!/bin/bash
  2. python setup.py develop
  3. python -m molbart.train \
  4. --dataset zinc \
  5. --data_path ../data/zinc \
  6. --model_type bart \
  7. --lr 1.0 \
  8. --schedule transformer \
  9. --epochs 6 \
  10. --batch_size 128 \
  11. --d_model 1024 \
  12. --num_layers 8 \
  13. --num_heads 16 \
  14. --d_feedforward 4096 \
  15. --gpus 4 \
  16. --task mask_aug
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