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Increase the training iterations: Train the PPO model for more iterations, as the model might not have converged yet.
Adjust the PPO hyperparameters: Experiment with different hyperparameters such …
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I'm glad to read this paper, and I have some questions for you:
1.I noticed that the hyperparameters set in your code do not seem to be the best parameters you obtained in the paper. Can you tell me…
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The numbers written in `./experiments/EXAMPLE_gpt.yml` were picked **completely at random**! It is very likely the numbers can be better, so long as people are willing to test and see what works.
P…
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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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We're planning on doing some work using some of the pretrained models, are the training hyperparameters documented anywhere?
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Hello,
is it possible to calculate the marginal log likelihood given the observations and the model parameters? I want to do thinks similar to this tutorial from PINTS with statsmodesl in python: h…
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**Describe the solution you'd like**
Thanks for providing the [optimal hyperparameters and tuning ranges](https://recbole.io/hyperparameters/index.html) for the RecBole models. However, I didn't find…
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- [x] Research the different Yolov5 architectures to determine which would be best suited for this application.
- [ ] Research the Yolov5 hyperparameter options to determine how the parameters will af…
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When I try to run a simple inference with `python3 ~/tpu/models/official/detection/main.py` I get the following error:
```
Traceback (most recent call last):
File "/home/sharif/tpu/models/offic…
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I think we should use the same method for specifying values and ranges for all hyperparameters (n_obs, rank, lengthscale, enc_dim, n_layers). Currently this is in my opinion quite inconsistent since f…