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As previously observed through preliminary modeling iterations, any and all models trained on the input images to predict the Continuous Target variable `CTBiomarkers.CalciumScoring.AbdominalAgatston`…
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Hello
I am having some problems with bootstrapping plain Cubist models and tuning them using `caret`. Below are the models and the corresponding errors.
```r
## Model 1: Simple Cubist Model
…
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Is it possible to fine tune one of the models that you have pretrained and provided.
The process is not mentioned in the hub or in the readme so i approached you.
could you possibly guide here?
…
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Hi,
How to fine-tune MMS TTS models. I used the default vits code, however, i had issues when resuming from the existing optimizer state dict:
"
in adamw
exp_avg.mul_(beta1).add_(grad, alpha…
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I am encountering an issue while attempting to fine-tune nnUNetv2 with the BRATS21 dataset. Here are the details of my setup and the problem I'm facing:
Dataset: BRATS21
Modalities: T1, T2, T1C, a…
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I followed the instructions carefully but when I click the button "Live", just an orange windows appears:
Did the same on my notebook and it worked fine (but with 2-3 FPS haha).
So I installed i…
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How to use multi card distributed training code
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We want to tune all models with hyperband and a fixed time budget that is equal for all models.
This gives us a better comparability.
| Model | Parameters | Budget| Done |
| :--- | …
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Look into:
* Access to fine-tuning: API access for closed-source models
* Code availability for OS models
* Rate limits
* API costs for close-source models
* Cloud compute costs for OS …
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- Paper name: Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
- ArXiv Link: https://arxiv.org/abs/2212.09689
To close this issue open a PR with a paper report using t…