Update README.md

README.md

@@ -16,7 +16,13 @@ datasets:
 widget:
   - text: >-
       Olympic champion Kostas Kederis today left hospital ahead of his date with IOC inquisitors claiming his innocence and vowing.
-    example_title: Analyst Update'
+    example_title: Sports
+  - text: >-
+      Although many individuals are doing fever checks to screen for Covid-19, many Covid-19 patients never have a fever.
+    example_title: Health and Wellness
+  - text: >-
+      Twelve myths about Russia's War in Ukraine exposed
+    example_title: Crime
 model-index:
 - name: roberta-base_topic_classification_nyt_news
   results:
@@ -29,30 +35,27 @@ model-index:
       metrics:
           - type: F1
             name: F1
-            value: 0.910647
+            value: 0.91
           - type: accuracy
             name: accuracy
-            value: 0.910615
+            value: 0.91
+          - type: precision
+            name: precision
+            value: 0.91
+          - type: recall
+            name: recall
+            value: 0.91
 pipeline_tag: text-classification
 ---
 
 # roberta-base_topic_classification_nyt_news
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the NYT News dataset (https://www.kaggle.com/datasets/aryansingh0909/nyt-articles-21m-2000-present).
-It achieves the following results on the evaluation set:
-- Loss: 0.3797
-- Accuracy: 0.9094
-- F1: 0.9092
-- Precision: 0.9098
-- Recall: 0.9094
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
+It achieves the following results on the test set of 51200 cases:
+- Accuracy: 0.91
+- F1: 0.91
+- Precision: 0.91
+- Recall: 0.91
 
 ## Training data
 Training data was classified as follow:
@@ -92,7 +95,7 @@ The following hyperparameters were used during training:
 | 0.1239        | 4.0   | 81920  | 0.3981          | 0.9117   | 0.9113 | 0.9114    | 0.9117 |
 | 0.1472        | 5.0   | 102400 | 0.4033          | 0.9137   | 0.9135 | 0.9134    | 0.9137 |
 
-### Model performances
+### Model performance
 
 -|precision|recall|f1|support
 -|-|-|-|-