update model card README.md

README.md

@@ -22,10 +22,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8308823529411765
+      value: 0.8406862745098039
     - name: F1
       type: f1
-      value: 0.8765652951699464
+      value: 0.8845470692717585
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilroberta-base-mrpc-glue-GraciaK
 
-This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5847
-- Accuracy: 0.8309
-- F1: 0.8766
+- Loss: 0.6596
+- Accuracy: 0.8407
+- F1: 0.8845
 
 ## Model description
 
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.5254        | 1.09  | 500  | 0.6612          | 0.8162   | 0.8700 |
-| 0.3644        | 2.18  | 1000 | 0.5847          | 0.8309   | 0.8766 |
+| 0.4802        | 1.09  | 500  | 0.5641          | 0.8505   | 0.8946 |
+| 0.261         | 2.18  | 1000 | 0.6596          | 0.8407   | 0.8845 |
 
 
 ### Framework versions