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: 0.3124
-- Accuracy: 0.8270
+- Loss: 0.1902
+- Accuracy: 0.9092
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -50,14 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3667        | 1.0   | 818  | 0.2851          | 0.8162   |
-| 0.2499        | 2.0   | 1636 | 0.2931          | 0.8121   |
-| 0.2069        | 3.0   | 2454 | 0.3124          | 0.8270   |
+| 0.2652        | 1.0   | 1525 | 0.2353          | 0.8673   |
+| 0.1712        | 2.0   | 3050 | 0.1938          | 0.8997   |
+| 0.1182        | 3.0   | 4575 | 0.1902          | 0.9092   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
-- Datasets 3.0.0
+- Pytorch 2.4.1+cu121
 - Tokenizers 0.19.1