Update README.md

README.md

@@ -1,20 +1,25 @@
-
 ---
 model_name: Common Metaphors Detection Model
 license: apache-2.0
 tags:
-  - metaphor-detection
-  - text-classification
-  - transformers
+- metaphor-detection
+- text-classification
+- transformers
 metrics:
-  - accuracy: 72%
+- accuracy: 64%
+- accuracy
 language: en
 dataset: Sasidhar1826/common_metaphors_detection_dataset
+datasets:
+- Sasidhar1826/common_metaphors_detection_dataset
+base_model:
+- google-bert/bert-base-uncased
+pipeline_tag: text-classification
 ---
 
 # Common Metaphors Detection Model
 
-This model achieves an **accuracy of 72%** on specific metaphor detection data.
+This model achieves an **accuracy of 64%** on **specific metaphor data of small dataset**.
 This is build upon **bert-base-uncased**
 this is not yet too much reliable to use in full scale as the metaphors meanings
 varies over the context of the sentences and the trained data is specific for only some cases.