update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7865961199294532
+      value: 0.781433607520564
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the hate_speech_portuguese dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4982
-- Accuracy: 0.7866
+- Loss: 0.5009
+- Accuracy: 0.7814
 
 ## Model description
 
@@ -64,8 +64,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 319  | 0.4464          | 0.7866   |
-| 0.4517        | 2.0   | 638  | 0.4982          | 0.7866   |
+| No log        | 1.0   | 302  | 0.4593          | 0.7756   |
+| 0.4361        | 2.0   | 604  | 0.5009          | 0.7814   |
 
 
 ### Framework versions