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: 0.5940
-- Accuracy: 0.8090
+- Loss: 0.3022
+- Accuracy: 0.8259
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7152        | 1.0   | 818  | 0.5366          | 0.7793   |
-| 0.4527        | 2.0   | 1636 | 0.5529          | 0.8006   |
-| 0.3715        | 3.0   | 2454 | 0.5940          | 0.8090   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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 size 435725300

runs/Sep20_13-19-10_aef78e88129c/events.out.tfevents.1726838352.aef78e88129c.1485.5

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 version https://git-lfs.github.com/spec/v1
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