Comments (6)
Do you want to perform inference? Or to further train the model?
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Thanks for reply.I use the exec.py to train a model.
from smbop.
Thanks for reply.I use the exec.py to train a model.
hey on which dataset are you trying to train it?
from smbop.
Thanks for reply.I use the exec.py to train a model.
hey on which dataset are you trying to train it?
the spider dataset
from smbop.
Thanks for reply.I use the exec.py to train a model.
hey on which dataset are you trying to train it?
the spider dataset
What makes you to train the model again, is the provided model in this repo is not performing well ?
Can try to look at this issue #45 (comment)
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Hey @programmerGeGe, sadly, I don't really have any good advice other then get a GPU with more memory (12GB should be enough).
Sorry
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Related Issues (20)
- Returning tree_obj_values in place of tree_obj in spider.py HOT 4
- Is SmBop can adapt the database functions and it not detecting the date columns in data base? HOT 3
- Usage of vocab built during training HOT 1
- Model Performance HOT 7
- [possible bug?] is_level_order_list should always have atleast one element as 1?
- [Possible Bug?] Should is_level_order_list always have atleast one element as 1? HOT 11
- How can we new sample to spider dataset to fine tune the SmBop? HOT 3
- setting bug
- System requirements for faster training!
- Question regarding final_beam_acc and BEM HOT 2
- RecursionError: maximum recursion depth exceeded HOT 2
- Executing exec.py HOT 2
- Problems using SmBop without values HOT 1
- Meaning of tensor beam_scores_el
- Hi! InvalidVersion: Invalid version: '0.10.1,<0.11'
- Issue in running Colab
- How to get RA Tree node embeddings?
- Can't download spider and model_weights HOT 1
- lmdb.Error: cache/exp1000train: No such file or directory HOT 3
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