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 [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4474
-- Accuracy: 0.4465
+- Loss: 1.4098
+- Accuracy: 0.4284
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.4461          | 0.3394   |
-| 1.3832        | 2.0   | 776  | 1.3165          | 0.4348   |
-| 1.0071        | 3.0   | 1164 | 1.4474          | 0.4465   |
+| No log        | 1.0   | 388  | 1.4104          | 0.3794   |
+| 1.3958        | 2.0   | 776  | 1.2944          | 0.4077   |
+| 1.0139        | 3.0   | 1164 | 1.4098          | 0.4284   |
 
 
 ### Framework versions
 
-- Transformers 4.25.1
-- Pytorch 1.13.0+cu116
-- Datasets 2.8.0
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
 - Tokenizers 0.13.2