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bert-e-base-mlm
nasa-impact/bert-e-base-mlm
bert-e-base-mlm is a fill-mask model from nasa-impact. Use it when you need the model to fill a missing word. It is set up for transformers.
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.
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Model card
From the Hugging Face model README
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
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Jun 13, 2023