Update README.md

README.md

@@ -3,19 +3,23 @@ license: apache-2.0
 base_model: bert-base-uncased
 tags:
 - generated_from_trainer
+- Multiple Choice
 metrics:
 - accuracy
 model-index:
 - name: bert-base-uncased-e_CARE
   results: []
+datasets:
+- 12ml/e-CARE
+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-e_CARE
 
-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: 1.7677
 - Accuracy: 0.7212
@@ -55,10 +59,9 @@ The following hyperparameters were used during training:
 | 0.0212        | 4.0   | 6284 | 1.8194          | 0.7225   |
 | 0.0185        | 5.0   | 7855 | 1.7677          | 0.7212   |
 
-
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.2
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3