2021-03-04 13:59:21,045 INFO Checking...
2021-03-04 13:59:21,045 INFO ===================Dev==================
Traceback (most recent call last):
File "/home/home1/yhshu/.conda/envs/pytorch16/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/home1/yhshu/.conda/envs/pytorch16/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/home1/yhshu/workspace/FusionQA/KQAPro_Baselines-master/Bart_SPARQL/train.py", line 200, in <module>
main()
File "/home/home1/yhshu/workspace/FusionQA/KQAPro_Baselines-master/Bart_SPARQL/train.py", line 196, in main
train(args)
File "/home/home1/yhshu/workspace/FusionQA/KQAPro_Baselines-master/Bart_SPARQL/train.py", line 112, in train
outputs = model(**inputs)
File "/home/home1/yhshu/.conda/envs/pytorch16/lib/python3.8/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
TypeError: forward() got an unexpected keyword argument 'lm_labels'
I think KQA Pro is a very good work.
However, I ran into some problems while running the experiments.
The repository does not describe how to import BART models, and I directly used facebook/bart-base as the model name and encountered the problem above.
I think KQA Pro is a very good work. However, I ran into some problems while running the experiments. The repository does not describe how to import BART models, and I directly used
facebook/bart-base
as the model name and encountered the problem above.