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: 0.3005
-- Accuracy: 0.8124
+- Loss: 0.6553
+- Accuracy: 0.2564
 
 ## Model description
 
@@ -50,8 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3297        | 1.0   | 1636 | 0.3032          | 0.8054   |
-| 0.279         | 2.0   | 3272 | 0.3005          | 0.8124   |
+| No log        | 1.0   | 10   | 0.6598          | 0.2564   |
+| No log        | 2.0   | 20   | 0.6553          | 0.2564   |
 
 
 ### Framework versions

model.safetensors

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

runs/Sep19_08-45-39_9be3241fd883/events.out.tfevents.1726735540.9be3241fd883.2060.7

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+size 6245