WangYitian123

Hi, Thanks a lot. I also noticed that you mixed training sets of “Product”, ”Reactants”, and “Reagents” in the mixed folder. Does it also belong to a multitask way?

And if I want to train my data in this way, should I add the prefix in my data in advance?

Hi, Thanks for your reply. But all my tasks are seq2seq, if I want to train in multitask way, what should I do?

Hi,  I want to know if I should add the prefixes to the vocabulary. If I set the prefix as mixed, it indeed contains several different prefixes. I also...

Hi, And if I want to train a pretrain model by myself, can I donot add a prefix, which is different from the finetune data with several prefixes for different...

> Yes. Sure. I pretrained the model using PubChem molecules SMILES without any prefixes. Yes. I found your pretrained model following the way of masked language model (MLM). But my...

Sorry to bother you. When I ran the code run_trainer.py using the command " python t5chem/run_trainer.py --data_dir data/sample/fusion/ --output_dir model_fusion_1times/ --task_type mixed --num_epoch 3000" with my own data, it appeared...