update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6837
-- Accuracy: 0.7797
+- Loss: 0.6424
+- Accuracy: 0.7921
 
 ## Model description
 
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 203  | 0.7587          | 0.6807   |
-| No log        | 2.0   | 406  | 0.6123          | 0.7550   |
-| 0.7137        | 3.0   | 609  | 0.6961          | 0.7723   |
-| 0.7137        | 4.0   | 812  | 0.6671          | 0.7673   |
-| 0.3495        | 5.0   | 1015 | 0.6837          | 0.7797   |
+| No log        | 1.0   | 203  | 0.7726          | 0.6683   |
+| No log        | 2.0   | 406  | 0.5948          | 0.7673   |
+| 0.7112        | 3.0   | 609  | 0.6424          | 0.7723   |
+| 0.7112        | 4.0   | 812  | 0.6376          | 0.7772   |
+| 0.3383        | 5.0   | 1015 | 0.6424          | 0.7921   |
 
 
 ### Framework versions
 
-- Transformers 4.21.3
+- Transformers 4.22.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.4.0
 - Tokenizers 0.12.1