update model card README.md

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8725490196078431
+      value: 0.8848039215686274
     - name: F1
       type: f1
-      value: 0.9106529209621993
+      value: 0.919104991394148
 ---
 
 <!-- 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 [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the glue-ptpt dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6398
-- Accuracy: 0.8725
-- F1: 0.9107
+- Loss: 0.7884
+- Accuracy: 0.8848
+- F1: 0.9191
 
 ## Model description
 
@@ -69,9 +69,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4894        | 1.09  | 500  | 0.3384          | 0.8578   | 0.8945 |
-| 0.2603        | 2.18  | 1000 | 0.5077          | 0.8799   | 0.9130 |
-| 0.1316        | 3.27  | 1500 | 0.6398          | 0.8725   | 0.9107 |
+| 0.1866        | 1.09  | 500  | 0.5935          | 0.8775   | 0.9104 |
+| 0.1791        | 2.18  | 1000 | 0.6557          | 0.8676   | 0.9062 |
+| 0.0676        | 3.27  | 1500 | 0.7884          | 0.8848   | 0.9191 |
 
 
 ### Framework versions