Update README.md

README.md

@@ -2,19 +2,21 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+- Multiple Choice
 metrics:
 - accuracy
 model-index:
 - name: bert-base-uncased-Figurative_Language
   results: []
+language:
+- en
+pipeline_tag: question-answering
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # bert-base-uncased-Figurative_Language
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.7629
 - Accuracy: 0.8124
@@ -54,10 +56,9 @@ The following hyperparameters were used during training:
 | 0.2884        | 4.0   | 2156 | 0.6204          | 0.8217   |
 | 0.1702        | 5.0   | 2695 | 0.7629          | 0.8124   |
 
-
 ### Framework versions
 
 - Transformers 4.29.1
 - Pytorch 2.0.1
 - Datasets 2.13.1
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3