update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8976377952755905
+      value: 0.9194736842105263
     - name: F1
       type: f1
-      value: 0.8964561163312182
+      value: 0.9195099897221968
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,9 +35,9 @@ 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 ag_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3551
-- Accuracy: 0.8976
-- F1: 0.8965
+- Loss: 0.2420
+- Accuracy: 0.9195
+- F1: 0.9195
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.7899        | 1.0   | 63   | 0.4333          | 0.8819   | 0.8803 |
-| 0.3599        | 2.0   | 126  | 0.3551          | 0.8976   | 0.8965 |
+| 0.346         | 1.0   | 469  | 0.2511          | 0.9142   | 0.9142 |
+| 0.1874        | 2.0   | 938  | 0.2420          | 0.9195   | 0.9195 |
 
 
 ### Framework versions