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Hi!,
so i am working at the following problem i have millions of sparse data points that are very high dimensional.
Using a sparse precomputed distance matrix seems one way to feed this data int…
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When trying to run the tests after installing openbox in a fresh virtual environment (python 3.11), I get the following error:
```
File "/home/user/test.py", line 4, in
run_test()
File …
Kaduo updated
11 months ago
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Hello Kushagra Agarwal,
I have read the MOSFET_Optimization (https://github.com/kushagragarwal2443/MOSFET_Optimization) that you uploaded to Github, and I have a question for y…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
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Hello,
I trained a knowbert language model on some medical data, and want to fine-tune it on a relation classification task. However, I get different Micro/Macro F1 scores every time a fine-tune it…
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I was having a problem where the logger would fail since I was trying to log hyperparameter strings longer than 2500 characters and with newlines.
As a quick fix I solved it by adding this after li…
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Hi! I wonder **if you could provide the weight checkpoints of the pretrained models,** because I need them for comparison.
I tried to train the pretrained model from scratch on the LINCS data, but …
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**Describe the bug**
If a hyperparameter has a parent, and the parent's value chosen by the tuner is in the list of activation, the child hyperparameter is also chosen by the tuner but not reported t…
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The semisupervised MNIST example uses the default value of 1000 labeled samples instead of 100 labeled samples (as stated in the README). The given hyperparameters also only work for the 1000 sample c…
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Recently you updated "BERT pretrained on mixed large Chinese corpus (bert-large 24-layers) " on ReadMe. What hyperparameters (lr, batch size, max epochs) did you use when fine-tuning on CLUE?