Ron Mokady
Ron Mokady
Hi @wytszhuzhu, we have used the Oscar evaluation code to evaluate over COCO I Hope this is helpful
@NielsRogge Sounds cool, I'll hope to try it out soon
> @rmokady any updates on this? Currently our top priority is to improve our model, so I guess it will be delayed If someone will find it relevant, we will...
Hi @goel-shashank, Are you using our default parameters? Did you try both the GPT-2 fine-tuning and the frozen GPT-2?
For COCO where we train both prefix and GPT-2 the loss got to 1.47 Unfortunately, the logs for the Conceptual got left on an old server and cannot access these...
Hi @goel-shashank, I find some logs for conceptual captions. This is with the resnet CLIP: 
This is with the Vit CLIP: 
You can use the pydrive downloader, similary to [this notebook](https://colab.research.google.com/github/danielroich/PTI/blob/main/notebooks/inference_playground.ipynb) (first cell) Then: `downloader.download_file("1O8OLrVNOItOJoNGMyQ8G8YRTeTYEfs0P", "/content/encoder4editing/e4e_ffhq_encode.pt")`
@BigHyf You can download val.yaml and other data files, check the vinyl download page
@BigHyf I don't find it relevant to the issue I opened, please open a new one