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For a school project I have two datasets that contain the stellar and dark matter components of a galaxy. I would like to animate to show how they move together in time, but have no idea how to animat…
ghost updated
3 years ago
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Lets say Ive 2 different datasets and I want to train them into one model. Would I need to combine the two files into one first and then finetune it? Or can I run two separate runs? I would reckon hav…
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Want to be able to have multiple datasets per project representing results of operations on original dataset.
Is this a good idea? Are there other ways to do this.
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For text task, when we would have multiple datasets, concatenation strategy could be moved to a more sophisticated logic by using huggingface concatenation.
Further, we may wish to change the evalu…
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# What
HDN and muSplit integration into CAREamics will pose a certain number of challenges:
## Specific datasets
muSplit requires specific datasets.
## Choice of Dataset will now depend on…
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During training, I see isolated steps that take a very long time to iterate compared to all others (About factorial, x10,000 times longer - see screenshot below).
Is there a general explanation for …
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k8s: 1.25.4
fluid: 0.9.1
When I try to mount two subsets in one pod, it shows timeout
**dataset**:
![image](https://github.com/fluid-cloudnative/fluid/assets/38779388/153a0398-cb1c-4e90-a6ae-1…
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Hi, I am really new to the AI field. I wanted to train electra-large model on several question answering tasks. Can I do that using tasksource? I am really confused about which tasks is applicable to …
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## Detailed Description
A large part of my hope for the ML research we're doing in 2022 is to train across multiple "types" of prepared dataset. For example:
* Similar to what we used in December:…
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I conducted several tests. DAdaptAdam achieved similar fitting results to SD15/SDXL on a dataset consisting of a single image. However, on datasets with hundreds of images, the fitting speed of DAdapt…