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: 0.6915
-- Accuracy: 0.7673
+- Loss: 0.8043
+- Accuracy: 0.7599
 
 ## Model description
 
@@ -37,8 +37,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 203  | 0.7956          | 0.6436   |
-| No log        | 2.0   | 406  | 0.6985          | 0.7104   |
-| 0.7262        | 3.0   | 609  | 0.6981          | 0.7550   |
-| 0.7262        | 4.0   | 812  | 0.6833          | 0.7599   |
-| 0.3722        | 5.0   | 1015 | 0.6915          | 0.7673   |
+| No log        | 1.0   | 405  | 0.7885          | 0.6485   |
+| 0.8344        | 2.0   | 810  | 0.6707          | 0.7228   |
+| 0.572         | 3.0   | 1215 | 0.6854          | 0.7624   |
+| 0.3898        | 4.0   | 1620 | 0.7928          | 0.7450   |
+| 0.2646        | 5.0   | 2025 | 0.8043          | 0.7599   |
 
 
 ### Framework versions