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As the title, when I tried `./fasttext supervised -input cooking.train -output mode_cooking -autotune-validation cooking.valid` as in the tutorial, it didn't activate tuning. Instead, it simply showed…
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Thanks for your excellent work! I am trying to run SIGMA and SIGMA++ on a new UDA benchmark for adapting Cityscapes to ACDC dataset. I find for different UDA tasks, you adopt different GA_DIS_LAMBDA, …
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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/discussi…
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I changed the "arch" in the config to "mobilenetv2" and the number of cards to 8. After training for 79 epochs, the accuracy is only around 40+%.
```
[meter.py: 338]: [train_epoch] Epoch[79]: lr: …
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Hello,
I've tried in vain to find suitable hyperparameters for SAC in order to solve MountainCarContinuous-v0.
Even with hyperparameter tuning (see "add-trpo" branch of [rl baselines zoo](https:…
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I retrained your model using the default hyperparameters in run.py, but my results are not similar to the reported results, the score is still too low after 2000 episodes. Could you please give me any…
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**Describe the unexpected behaviour**
Each time I use the stochasticLinearRegressionState function to train the same dataset, the results vary significantly. But I use the same hyperparameters and th…
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Hi, thank you for your great work!
I was wondering if you could share the hyperparameters you ended up searching for and using so that we can quickly reproduce the results of the paper. It is certa…
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- PyTorch-Forecasting version: 1.0.0
- PyTorch version: Not sure!
- Python version: 3.10
- Operating System: macOS 14.0
I am looking at the following tutorial:
https://pytorch-forecasting.rea…
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I'm using audio data from my own realm to do a continuous training on the checkpoint of WavTokenizer-mdium. However, it was found that the model seemed to get worse and worse with the training, and at…