update model card README.md

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3921
-- Accuracy: 0.544
+- Loss: 1.6404
+- Accuracy: 0.4
 
 ## Model description
 
@@ -49,13 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.4555        | 1.0   | 1682  | 1.2794          | 0.504    |
-| 1.2833        | 2.0   | 3364  | 1.2108          | 0.526    |
-| 1.1745        | 3.0   | 5046  | 1.2324          | 0.566    |
-| 1.0688        | 4.0   | 6728  | 1.2353          | 0.548    |
-| 0.9659        | 5.0   | 8410  | 1.2815          | 0.556    |
-| 0.8642        | 6.0   | 10092 | 1.3926          | 0.554    |
-| 0.7652        | 7.0   | 11774 | 1.3921          | 0.544    |
+| 1.4566        | 1.0   | 1724  | 1.3690          | 0.3      |
+| 1.2925        | 2.0   | 3448  | 1.3269          | 0.4      |
+| 1.1812        | 3.0   | 5172  | 1.3479          | 0.35     |
+| 1.0807        | 4.0   | 6896  | 1.3464          | 0.35     |
+| 0.9799        | 5.0   | 8620  | 1.3757          | 0.4      |
+| 0.8792        | 6.0   | 10344 | 1.5018          | 0.45     |
+| 0.7843        | 7.0   | 12068 | 1.6404          | 0.4      |
 
 
 ### Framework versions