End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.3022
-- Accuracy: 0.8259
+- Loss: 0.3095
+- Accuracy: 0.8039
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3726        | 1.0   | 818  | 0.2906          | 0.8134   |
-| 0.2458        | 2.0   | 1636 | 0.2893          | 0.8245   |
-| 0.2042        | 3.0   | 2454 | 0.3022          | 0.8259   |
+| 0.4219        | 1.0   | 818  | 0.3250          | 0.7879   |
+| 0.3007        | 2.0   | 1636 | 0.3123          | 0.7980   |
+| 0.2838        | 3.0   | 2454 | 0.3095          | 0.8039   |
 
 
 ### Framework versions