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This model is further trained on top of scibert-base using masked language modeling loss (MLM). The corpus is roughly abstracts from 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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Safetensors

Model size

110M params

Tensor type

I64

F32

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