update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Luciano/bertimbau-base-finetuned-lener-br](https://huggingface.co/Luciano/bertimbau-base-finetuned-lener-br) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1509
-- Accuracy: 0.7673
+- Loss: 1.4400
+- Accuracy: 0.7649
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.892         | 1.0   | 809  | 0.7765          | 0.6832   |
-| 0.6748        | 2.0   | 1618 | 0.7200          | 0.7302   |
-| 0.5406        | 3.0   | 2427 | 0.9141          | 0.7475   |
-| 0.4226        | 4.0   | 3236 | 1.1041          | 0.7550   |
-| 0.3058        | 5.0   | 4045 | 1.1509          | 0.7673   |
+| 0.9619        | 1.0   | 1617 | 1.2712          | 0.6386   |
+| 0.8696        | 2.0   | 3234 | 1.0555          | 0.75     |
+| 0.6648        | 3.0   | 4851 | 1.2647          | 0.7649   |
+| 0.4652        | 4.0   | 6468 | 1.2981          | 0.7723   |
+| 0.2911        | 5.0   | 8085 | 1.4400          | 0.7649   |
 
 
 ### Framework versions