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PCSciBERT_uncased
jmzk96/PCSciBERT_uncased
PCSciBERT_uncased is a fill-mask model from jmzk96. Use it when you need the model to fill a missing word. It is set up for transformers.
PCSciBERTuncased was initiated with the uncased variant of SciBERT (https://huggingface.co/allenai/scibertscivocabuncased) and pre-trained on texts from 1,560,661 research articles of the physics and computer science…
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From the Hugging Face model README
PCSciBERT_uncased was initiated with the uncased variant of SciBERT (https://huggingface.co/allenai/scibert_scivocab_uncased) and pre-trained on texts from 1,560,661 research articles of the physics and computer science domain in arXiv. The tokenizer for PCSciBERT_uncased uses the same vocabulary from allenai/scibert_scivocab_uncased.
The model was also evaluated on its downstream performance in named entity recognition using the adsabs/WIESP2022-NER and CS-NER (https://github.com/jd-coderepos/contributions-ner-cs/tree/main) dataset. Overall, PCSciBERT_uncased achieved higher micro F1 scores than SciBERT(uncased) for both WIESP (Micro F1: 81.54%) and CS-NER (Micro F1: 75.67%) datasets.
It improves the performance of SciBERT(uncased) on CS-NER test dataset by 0.26% and on WIESP test dataset by 0.8%.
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Jul 3, 2023
- Updated
- Aug 1, 2023