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tung-nd avatar tung-nd commented on July 18, 2024 1

I've not done this myself so I cannot say for sure, but these are a few things that come to my mind:

  1. Make sure to use the same patch size as the pretrained checkpoint so you can load the entire pretrained model.
  2. Interpolate the pretrained position embeddings if your data is of a different resolution. In the global forecasting module we also provide a function for doing this.
  3. Input your latitude vector when finetuning the model since it'll be different from pretraning.

Besides this, finetuning ClimaX on your cropped data should be similar to global forecasting.

from climax.

taehokim97 avatar taehokim97 commented on July 18, 2024

Thank you for your kind response.

from climax.

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