Update README.md

README.md

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 PCSciBERT_cased was initiated with the cased variant of SciBERT (https://huggingface.co/allenai/scibert_scivocab_cased) and pre-trained on texts from 1,560,661 research articles of the physics and computer science domain in arXiv.
 The tokenizer for PCSciBERT_cased uses the same vocabulary from allenai/scibert_scivocab_cased.
 
-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_cased achieved higher micro F1 scores than SciBERT for both WIESP (Micro F1: 82.19%) and CS-NER (Micro F1: 76.22%) datasets.
+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_cased achieved higher micro F1 scores than SciBERT(cased) for both WIESP (Micro F1: 82.19%) and CS-NER (Micro F1: 76.22%) datasets.
 
 It improves the performance of SciBERT(cased) on CS-NER test dataset by 0.69% and on WIESP test dataset by 1.49%.