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: 0.3530
-- Accuracy: 0.8301
+- Loss: 0.2999
+- Accuracy: 0.8270
 
 ## Model description
 
@@ -44,17 +44,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3706        | 1.0   | 818  | 0.2967          | 0.8070   |
-| 0.2527        | 2.0   | 1636 | 0.2933          | 0.8169   |
-| 0.2183        | 3.0   | 2454 | 0.3166          | 0.8257   |
-| 0.1645        | 4.0   | 3272 | 0.3322          | 0.8261   |
-| 0.1363        | 5.0   | 4090 | 0.3530          | 0.8301   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Sep21_13-57-51_84108f48cee1/events.out.tfevents.1726927072.84108f48cee1.3896.4

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