This model is further trained on top of scibert-base using masked language modeling loss (MLM). The corpus is roughly 270,000 earth science-based publications.

The tokenizer used is AutoTokenizer, which is trained on the same corpus.

Stay tuned for further downstream task tests and updates to the model.

in the works

  • MLM + NSP task loss
  • Add more data sources for training
  • Test using downstream tasks
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This model can be loaded on the Inference API on-demand.