Update README.md

README.md

@@ -1,5 +1,14 @@
 ---
 license: mit
+language:
+- en
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+library_name: transformers
+pipeline_tag: text-classification
 ---
 
 This is a fine-tuned BERT-based language model to classify NLP-related research papers as "survey" or "non-survey" papers. The model is fine-tuned on a dataset of 787 survey and 11,805 non-survey papers from the ACL Anthology and the arXiv cs.CL category. Prior to fine-tuning, the model is initialized with weights from Prior to fine-tuning, the model is initialized with weights from [malteos/scincl](https://huggingface.co/malteos/scincl).
@@ -13,4 +22,4 @@ The model was evaluated on 20% test data.
 * **F1:** 84.35
 * **Precision:** 82.38
 * **Recall:** 86.53
-* **Accuracy:** 98.04
+* **Accuracy:** 98.04