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: 0.3648
-- Accuracy: 0.7678
+- Loss: 0.7215
+- Accuracy: 0.7263
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3692        | 1.0   | 1101 | 0.3427          | 0.7579   |
-| 0.3152        | 2.0   | 2202 | 0.3571          | 0.7594   |
-| 0.2766        | 3.0   | 3303 | 0.3648          | 0.7678   |
+| 0.7228        | 1.0   | 1101 | 0.6816          | 0.6840   |
+| 0.6036        | 2.0   | 2202 | 0.6813          | 0.6996   |
+| 0.5165        | 3.0   | 3303 | 0.7215          | 0.7263   |
 
 
 ### Framework versions

model.safetensors

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 size 435725300

runs/Sep22_02-52-23_63cb052025b8/events.out.tfevents.1726973543.63cb052025b8.1189.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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