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: 0.5677
-- Accuracy: 0.8
+- Loss: 0.2940
+- Accuracy: 0.8324
 
 ## Model description
 
@@ -50,9 +50,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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      |
+| 0.3687        | 1.0   | 920  | 0.2899          | 0.8138   |
+| 0.2586        | 2.0   | 1840 | 0.2824          | 0.8196   |
+| 0.205         | 3.0   | 2760 | 0.2940          | 0.8324   |
 
 
 ### Framework versions

model.safetensors

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

runs/Sep21_16-24-00_84108f48cee1/events.out.tfevents.1726935841.84108f48cee1.3896.10

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:958cdcb7441ca7c60a764c9b6de7194f1825d3c9f002736dc5eb50efceef5d74
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+oid sha256:7d7686d7f2d4c810cf5072ec7bce2cd3120db75c2ccc05e8ee147686563fab21
+size 7640