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: 0.1902
-- Accuracy: 0.9092
+- Loss: 0.3046
+- Accuracy: 0.8228
 
 ## Model description
 
@@ -50,13 +50,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 0.3704        | 1.0   | 818  | 0.2935          | 0.8113   |
+| 0.2466        | 2.0   | 1636 | 0.2945          | 0.8246   |
+| 0.2048        | 3.0   | 2454 | 0.3046          | 0.8228   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
+- Datasets 3.0.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
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 size 435725300