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Hi there!
So we are using this model and this repository in particular for our Research on a novel problem statement and would like to fine tune on medical datasets. Can you please provide support fo…
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Examples:
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Sentime…
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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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Using the ```keras_tuner` API, implement hyper tuning so that our model can be tuned and optimized for our data.
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As I mentioned in the title, I want to "continuously" fine-tune a pre-trained model with my custom dataset and explore adding some "emotion" to it (not sure why this idea came to mind). If you have an…
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I am attempting to use the fine tuning with my custom dataset, however the training percentage value keeps staying at 0% and not increasing at all, after 20h of running time:
```
Train: 0%| …
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Although Optuna is used for hyperparameter tuning in the project, the tuning results may vary across different environments. How can the reproducibility of hyperparameter tuning be ensured?
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Currently, the Madgwick filter works, but is very slow to respond to changes in the robot orientation. Update parameters so that it updates quickly enough for balancing and other similar tasks
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Did you use a special validation set for ultrafeedback when tuning the hyper-paramaters in Table 7, or just the `test_pref` set from the [original binarized ultrafeedback data](https://huggingface.co/…