Update README.md

README.md

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 pipeline_tag: fill-mask
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-# Pile of Law BERT large 2 model (uncased)
+# Pile of Law BERT large model 2 (uncased)
 Pretrained model on English language legal and administrative text using the [RoBERTa](https://arxiv.org/abs/1907.11692) pretraining objective. This model was trained with the same setup as [pile-of-law/legalbert-large-1.7M-1](https://huggingface.co/pile-of-law/legalbert-large-1.7M-1), but with a different seed.
 
 ## Model description
-Pile of Law BERT large is a transformers model with the [BERT large model (uncased)](https://huggingface.co/bert-large-uncased) architecture pretrained on the [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law), a dataset consisting of ~256GB of English language legal and administrative text for language model pretraining.
+Pile of Law BERT large 2 is a transformers model with the [BERT large model (uncased)](https://huggingface.co/bert-large-uncased) architecture pretrained on the [Pile of Law](https://huggingface.co/datasets/pile-of-law/pile-of-law), a dataset consisting of ~256GB of English language legal and administrative text for language model pretraining.
 
 ## Intended uses & limitations
 You can use the raw model for masked language modeling or fine-tune it for a downstream task. Since this model was pretrained on a English language legal and administrative text corpus, legal downstream tasks will likely be more in-domain for this model.