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Add README
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README.md
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# ScholarBERT_100 Model
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This is the **ScholarBERT_100** variant of the ScholarBERT model family.
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The model is pertrained on a large collection of scientific research articles (221B tokens).
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The model is based on the same architecture as [BERT-large](https://huggingface.co/bert-large-cased) and has a total of 340M parameters.
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# Model Architecture
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| Hyperparameter | Value |
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|-----------------|:-------:|
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| Layers | 24 |
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| Hidden Size | 1024 |
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| Attention Heads | 16 |
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| Total Parameters | 340M |
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# Training Dataset
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The vocab and the model are pertrained on **100% of the PRD** scientific literature dataset.
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The PRD dataset is provided by Public.Resource.Org, Inc. (“Public Resource”),
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a nonprofit organization based in California. This dataset was constructed from a corpus
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of journal article files, from which We successfully extracted text from 75,496,055 articles from 178,928 journals.
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The articles span across Arts & Humanities, Life Sciences & Biomedicine, Physical Sciences,
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Social Sciences, and Technology. The distribution of articles is shown below.
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