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: 1.4409
-- Accuracy: 0.61
+- Loss: 1.3921
+- Accuracy: 0.544
 
 ## Model description
 
@@ -49,17 +49,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.4503        | 1.0   | 1713  | 1.2659          | 0.485    |
-| 1.2726        | 2.0   | 3426  | 1.1611          | 0.52     |
-| 1.1661        | 3.0   | 5139  | 1.0906          | 0.56     |
-| 1.0649        | 4.0   | 6852  | 1.0425          | 0.58     |
-| 0.9637        | 5.0   | 8565  | 1.0425          | 0.61     |
-| 0.8681        | 6.0   | 10278 | 1.0039          | 0.62     |
-| 0.7704        | 7.0   | 11991 | 1.0983          | 0.625    |
-| 0.6871        | 8.0   | 13704 | 1.2018          | 0.62     |
-| 0.6137        | 9.0   | 15417 | 1.2758          | 0.615    |
-| 0.55          | 10.0  | 17130 | 1.3500          | 0.595    |
-| 0.4966        | 11.0  | 18843 | 1.4409          | 0.61     |
+| 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    |
 
 
 ### Framework versions