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: 1.5073
-- Accuracy: 0.465
+- Loss: 1.4645
+- Accuracy: 0.498
 
 ## Model description
 
@@ -49,16 +49,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.5492        | 1.0   | 407  | 1.4459          | 0.455    |
-| 1.3622        | 2.0   | 814  | 1.3625          | 0.43     |
-| 1.237         | 3.0   | 1221 | 1.3281          | 0.465    |
-| 1.1388        | 4.0   | 1628 | 1.3123          | 0.445    |
-| 1.0276        | 5.0   | 2035 | 1.2981          | 0.455    |
-| 0.9412        | 6.0   | 2442 | 1.3247          | 0.45     |
-| 0.8528        | 7.0   | 2849 | 1.3685          | 0.45     |
-| 0.7686        | 8.0   | 3256 | 1.4333          | 0.44     |
-| 0.6779        | 9.0   | 3663 | 1.4563          | 0.42     |
-| 0.6231        | 10.0  | 4070 | 1.5073          | 0.465    |
+| 1.5522        | 1.0   | 375  | 1.4354          | 0.456    |
+| 1.3851        | 2.0   | 750  | 1.3471          | 0.468    |
+| 1.2672        | 3.0   | 1125 | 1.2887          | 0.486    |
+| 1.1756        | 4.0   | 1500 | 1.2594          | 0.506    |
+| 1.0738        | 5.0   | 1875 | 1.2746          | 0.508    |
+| 0.9818        | 6.0   | 2250 | 1.3388          | 0.508    |
+| 0.8955        | 7.0   | 2625 | 1.3723          | 0.502    |
+| 0.8209        | 8.0   | 3000 | 1.3901          | 0.496    |
+| 0.7445        | 9.0   | 3375 | 1.4645          | 0.498    |
 
 
 ### Framework versions