update model card README.md

README.md

@@ -14,7 +14,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6768
+- Loss: 0.5765
 
 ## Model description
 
@@ -45,14 +45,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.8484        | 1.0   | 1376 | 0.7640          |
-| 0.7346        | 2.0   | 2752 | 0.6941          |
-| 0.7154        | 3.0   | 4128 | 0.6833          |
+| 0.7308        | 1.0   | 1383 | 0.6286          |
+| 0.6406        | 2.0   | 2766 | 0.5947          |
+| 0.6033        | 3.0   | 4149 | 0.5881          |
 
 
 ### Framework versions
 
 - Transformers 4.11.3
 - Pytorch 1.9.0+cu111
-- Datasets 1.13.1
+- Datasets 1.13.2
 - Tokenizers 0.10.3