Update README.md

README.md

@@ -1,7 +1,21 @@
+---
+license: apache-2.0
+datasets:
+- nyu-mll/multi_nli
+language:
+- en
+metrics:
+- accuracy
+library_name: adapter-transformers
+pipeline_tag: text-classification
+tags:
+- code
+base_model: bert
+---
 # Entailment Detection by Fine-tuning BERT
 ----------------------------------------------
 <li>The model in this repository is fine-tuned on Google's encoder-decoder transformer-based model BERT.</li>
 <li>New York University's Multi-NLI dataset is used for fine-tuning.</li>
 <li>Accuracy achieved: ~73%</li>
 <p></p><p></p>
-<i><b>N.B.:</b> Due to computational resource constraints, only 11K samples are used for fine-tuning. There is room for accuracy improvement if a model is trained on all the 390K samples in the dataset.</i>
+<i><b>N.B.:</b> Due to computational resource constraints, only 11K samples are used for fine-tuning. There is room for accuracy improvement if a model is trained on all the 390K samples in the dataset.</i>