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Hello, authors! Although quecc is designed for very low token counts, I am curious whether you have tested quecc in a higher token count range (the highest in the paper is 36). When I trained with 144…
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Hi,
I am currently trying to run the code in the script for cora and citeseer. During the replication process, I have identified that the code lacks information regarding the hyperparameters relate…
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Hey! I wanted to see if you guys had any reference code / hyperparameters for SAC solving any of the tabletop tasks using RGB(D) data only and no proprioceptive state information. Thanks!
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Hello !
It is a bit unclear to me which hyper parameters you used to train your model, could you provide a complete list of your best models for DIPS and DB5? In particular, I am not sure whether nod…
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Hi all,
Very interesting work. I was wondering what values you used for theta, delta, and L in the cal_blur function? I want to be able to best replicate your results and was wondering what those …
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Hi,
The code is well written and absolutely reproducible.
I am facing issues with other baselines.
The paper reports that other baselines are used with default parameters.
I can't reproduce the…
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Hello, this research is very meaningful. However, when I reproduced the performance of the default code (with default parameters) in CIFAR80N, I found that the performance of Sym-80% (33.72) and Asym-…
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Hi! I've observed the following when using Unsloth.
## Summary
When fine-tuning the Unsloth Phi-3.5 model with LoRA, the trainable parameters are approximately **3x higher** compared to the Micros…
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Hello @hengruizhang98,
I am getting large errors for column wise density estimation when evaluating TabDDPM on some datasets (Beijing and Magic), did you use different hyperparameters for this model …
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### Feature Request: MLOps Integration for NLU Section Inspired by MLflow Features
#### Description
To enhance Hexabot's NLU capabilities, we propose integrating MLOps-inspired features to strea…