Model save

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8357843137254902
+      value: 0.8431372549019608
     - name: F1
       type: f1
-      value: 0.8797127468581688
+      value: 0.8848920863309353
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5963
-- Accuracy: 0.8358
-- F1: 0.8797
+- Loss: 0.5501
+- Accuracy: 0.8431
+- F1: 0.8849
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5284        | 1.09  | 500  | 0.5300          | 0.8162   | 0.8718 |
-| 0.3603        | 2.18  | 1000 | 0.5963          | 0.8358   | 0.8797 |
+| 0.5252        | 1.09  | 500  | 0.7413          | 0.8137   | 0.8762 |
+| 0.3498        | 2.18  | 1000 | 0.5501          | 0.8431   | 0.8849 |
 
 
 ### Framework versions