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Hi, I noticed only the following web datasets work for the linear probe evaluation. It would be nice to have the following things fixed for the same:
1. Support for the rest of the datasets to do l…
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Great work! I’d like to ask about two details in this paper:
Does the text token in the legend of Figure 5a include the system prompt like "The assistant gives helpful, detailed, and polite answers…
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When I try to use python3.7 to train storygan it:
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Please read https://msg.pyyam
l.org/load for full details.
yaml_cfg = edict(…
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In the dataset, "question_family_index" field takes values from 0 to 89. When I generate a new dataset with the generation script, "question_family_index" takes smaller values as it refers to the inde…
rizar updated
5 years ago
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Hey Calvin,
I found some strange cases, even the clause number does not grow over 10, the greedy algorithm meets stack overflow in the logic core.
Here is the scene:
```
{"objects": [{"size":…
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![123](https://user-images.githubusercontent.com/45822006/71318810-e1e68580-24d0-11ea-912b-6d5df0d4cd8f.PNG)
As the image shows, the training accuracy is 0.7 and the val accuracy is 0.549. I think…
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I downloaded the CLEVR-1.0 dataset without the images. Is is possible to use the scripts in this repo to generate the corresponding images?
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`train.py` fails on both training from scratch and using a pre-trained model with the following error:
> File "/RelationNetworks-CLEVR/utils.py", line 120, in collate_samples
> question=torch.…
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/!\ PLEASE INCLUDE THE FULL STACKTRACE AND CODE SNIPPET
**Short description**
Description of the bug.
**Environment information**
* Operating System:
* Python version:
* `tensorflow-datase…
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I have some trouble reproducing the baseline results with RN and UpDn on CLEVR. Can you share the scripts for reproducing the baseline results (RN, UpDn, etc.) with the precise hyperparameters used (b…