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: 0.3608
-- Accuracy: 0.7831
+- Loss: 0.3070
+- Accuracy: 0.8291
 
 ## Model description
 
@@ -44,14 +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: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4015        | 1.0   | 3050 | 0.3875          | 0.7583   |
-| 0.3563        | 2.0   | 6100 | 0.3608          | 0.7831   |
+| 0.3164        | 1.0   | 1636 | 0.2805          | 0.8207   |
+| 0.2494        | 2.0   | 3272 | 0.2964          | 0.8210   |
+| 0.2075        | 3.0   | 4908 | 0.3070          | 0.8291   |
 
 
 ### Framework versions

model.safetensors

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runs/Sep19_12-15-48_9be3241fd883/events.out.tfevents.1726748149.9be3241fd883.2060.17

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