update model card README.md

README.md

@@ -20,10 +20,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5617792421746294
+      value: 0.628500823723229
     - name: F1
       type: f1
-      value: 0.6021353784442518
+      value: 0.6544946803476833
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the health_fact dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1172
-- Accuracy: 0.5618
-- F1: 0.6021
+- Loss: 1.1227
+- Accuracy: 0.6285
+- F1: 0.6545
 
 ## Model description
 
@@ -66,10 +66,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.1497        | 1.0   | 154  | 0.9639          | 0.5404   | 0.5887 |
-| 0.9639        | 2.0   | 308  | 0.9332          | 0.5692   | 0.6130 |
-| 0.841         | 3.0   | 462  | 0.9520          | 0.5544   | 0.6047 |
-| 0.734         | 4.0   | 616  | 1.1172          | 0.5618   | 0.6021 |
+| 1.1367        | 1.0   | 154  | 0.9423          | 0.5560   | 0.6060 |
+| 0.9444        | 2.0   | 308  | 0.9267          | 0.5733   | 0.6170 |
+| 0.8248        | 3.0   | 462  | 0.9483          | 0.5832   | 0.6256 |
+| 0.7213        | 4.0   | 616  | 1.0119          | 0.5815   | 0.6219 |
+| 0.608         | 5.0   | 770  | 1.1227          | 0.6285   | 0.6545 |
 
 
 ### Framework versions