Comments (2)
frascuchon
commented on June 2, 2024
The trick here is the train method will extend model vocab, expanding the model backbone embedding sizes, so the resulting number is different to before vocab extension.
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dcfidalgo
commented on June 2, 2024
ah ok. I just checked and after calling the train method (and hence expanding the vocab), the numbers are the same
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Related Issues (20)
- [BUG] Building vocab fails when the featurizer returns None with the new Dataset class
- CI fails related to UI? HOT 1
- Improve error message when the "label" column is missing in the dataset
- [BUG] pip install from git (master) not working on Colab tutorials HOT 2
- ImportError: cannot import name 'Dataset' from 'biome.text' HOT 4
- [BUG] ModuleNotFoundError: No module named 'biome.text'; 'biome' is not a package HOT 4
- Attributions/Tokens in predict with transformer tokenizers HOT 1
- Provide a BaseModel for the `predict` API response
- Dynamically update the `predict` docstring to include the model input parameters
- [Tutorials] Add tip about readingTune analysis from experiment dir HOT 1
- Tutorials on the documentation webpage do not match with colab and repo versions HOT 1
- Improve vocab creation
- Define training and validation metrics
- Search algorithm requires config argument in `tune.run`
- [BUG] WandB FileNotFoundError HOT 3
- Invalid metric warning in HPO HOT 1
- Switching to the new lightning trainer HOT 1
- Mlflow models could not work with new biome-text changes
- [BUG] Link of Github page description is broken HOT 1
- [BUG] trainer.fit() does not create a directory if path is specified HOT 1
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