Update README.md

README.md

@@ -1,35 +1,27 @@
----
-library_name: transformers
-tags:
-- grammatical-error-detection
-- token-classification
-- nlp
-- bert
-license: mit
-language:
-- en
-base_model:
-- google-bert/bert-base-uncased
-pipeline_tag: token-classification
----
+---
+library_name: transformers
+tags:
+- grammatical-error-detection
+- token-classification
+- nlp
+- bert
+license: mit
+language:
+- en
+base_model:
+- google-bert/bert-base-uncased
+pipeline_tag: token-classification
+---
 
-# Model Card for Fine-tuned BERT on FCE Dataset for Grammatical Error Detection
 
-This model is fine-tuned on the First Certificate in English (FCE) dataset for grammatical error detection at the token level, identifying whether each token is grammatically correct ('c') or incorrect ('i') based on context.
+# Model Description
+Fine-tuning bert-base-uncased model for token-level binary grammatical error detection on English-FCE dataset provided by MultiGED-2023
 
+- **[Github](https://github.com/sahilnishad/Fine-Tuning-BERT-for-Token-Level-GED)**
+- **[Dataset](https://github.com/spraakbanken/multiged-2023)**
 
-### Model Description
 
-This model card provides details of a 🤗 transformers model pushed to the Hub. The model performs token-level classification to determine grammatical correctness based on context, using the FCE dataset. Each token is labeled as either 'c' (correct) or 'i' (incorrect).
-
-- **Developed by:** [Sahil Nishad](https://www.linkedin.com/in/sahilnishad)
-- **Model type:** BERT-based model for token-level classification
-- **Language:** English
-- **Finetuned from model:** [`bert-base-uncased`](https://huggingface.co/bert-base-uncased)
-- **Repository:** [Github](https://github.com/sahilnishad/Fine-Tuning-BERT-for-Token-Level-GED)
-
-### How to Get Started with the Model
-Use the code below to get started with the model.
+# Get Started with the Model
 
 ```python
 from transformers import AutoModelForTokenClassification, BertTokenizer
@@ -49,8 +41,8 @@ def infer(sentence):
 print(infer("Your example sentence here"))
 ```
 
-### BibTeX:
-
+---
+# BibTeX:
 ```bibtex
 @misc{sahilnishad_bert_ged_fce_ft,
   author       = {Sahil Nishad},