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: 0.2999
-- Accuracy: 0.8270
+- Loss: 0.5677
+- Accuracy: 0.8
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3691        | 1.0   | 818  | 0.2936          | 0.8070   |
-| 0.2523        | 2.0   | 1636 | 0.2940          | 0.8195   |
-| 0.222         | 3.0   | 2454 | 0.2999          | 0.8270   |
+| 0.7194        | 1.0   | 920  | 0.5589          | 0.7593   |
+| 0.4799        | 2.0   | 1840 | 0.5394          | 0.7719   |
+| 0.3632        | 3.0   | 2760 | 0.5677          | 0.8      |
 
 
 ### Framework versions

model.safetensors

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runs/Sep21_15-50-51_84108f48cee1/events.out.tfevents.1726933852.84108f48cee1.3896.9

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