update model card README.md

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [aubmindlab/araelectra-base-discriminator](https://huggingface.co/aubmindlab/araelectra-base-discriminator) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5072
-- Macro F1: 0.7679
-- Accuracy: 0.7745
-- Precision: 0.7680
-- Recall: 0.7678
+- Loss: 0.6073
+- Macro F1: 0.7629
+- Accuracy: 0.7708
+- Precision: 0.7646
+- Recall: 0.7616
 
 ## Model description
 
@@ -54,15 +54,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------:|:------:|
-| 0.5316        | 1.0   | 1597 | 0.4992          | 0.7428   | 0.7564   | 0.7535    | 0.7386 |
-| 0.4349        | 2.0   | 3194 | 0.4832          | 0.7523   | 0.7677   | 0.7692    | 0.7470 |
-| 0.3423        | 3.0   | 4791 | 0.5072          | 0.7679   | 0.7745   | 0.7680    | 0.7678 |
-| 0.2826        | 4.0   | 6388 | 0.5890          | 0.7672   | 0.7752   | 0.7693    | 0.7656 |
+| 0.5248        | 1.0   | 1597 | 0.4960          | 0.7416   | 0.7546   | 0.7508    | 0.7377 |
+| 0.4308        | 2.0   | 3194 | 0.4770          | 0.7535   | 0.7666   | 0.7647    | 0.7490 |
+| 0.3386        | 3.0   | 4791 | 0.5201          | 0.7614   | 0.7684   | 0.7617    | 0.7611 |
+| 0.2781        | 4.0   | 6388 | 0.6073          | 0.7629   | 0.7708   | 0.7646    | 0.7616 |
 
 
 ### Framework versions
 
-- Transformers 4.20.1
-- Pytorch 1.11.0
+- Transformers 4.27.4
+- Pytorch 1.13.0
 - Datasets 2.1.0
-- Tokenizers 0.12.1
+- Tokenizers 0.13.2