transformers pytorch bert fill-mask biology medical en dataset:pubmed arxiv:2308.08625 arxiv:2312.02803 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- pubmed
language:
- en
license: apache-2.0
tags:
- biology
- medical
---

# rttl-ai/BIOptimus v.0.4

## Model Details
**Model Description:** BIOptimus v.0.4 model is a BERT-like model pre-trained on [PubMed](https://pubmed.ncbi.nlm.nih.gov/) abstracts. 
It is a biomedical language model pre-trained using contextualized weight distillation and Curriculum Learning. 
This model achieves state-of-the-art performance on several biomedical NER datasets from [BLURB benchmark](https://microsoft.github.io/BLURB/).


- **Developed by:** rttl-ai
- **Model Type:** Language model
- **Language(s):** English
- **License:** Apache-2.0
- **Resources for more information:**
 - It is introduced in the paper BIOptimus: Pre-training an Optimal Biomedical Language Model with Curriculum Learning for Named Entity Recognition (BioNLP workshop @ ACL 2023).
 - [arxiv](https://arxiv.org/abs/2308.08625)
 - [arxiv](https://arxiv.org/abs/2312.02803)
 - More information is available in [this repository](https://github.com/rttl-ai/BIOptimus).
