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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8419
-- Accuracy: 0.8623
+- Loss: 0.8728
+- Accuracy: 0.8383
 
 ## Model description
 
@@ -48,26 +48,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 84   | 0.4239          | 0.8353   |
-| No log        | 2.0   | 168  | 0.4692          | 0.8443   |
-| No log        | 3.0   | 252  | 0.5098          | 0.8503   |
-| No log        | 4.0   | 336  | 0.6306          | 0.8533   |
-| No log        | 5.0   | 420  | 0.6482          | 0.8503   |
-| 0.0947        | 6.0   | 504  | 0.6836          | 0.8713   |
-| 0.0947        | 7.0   | 588  | 0.7543          | 0.8563   |
-| 0.0947        | 8.0   | 672  | 0.7751          | 0.8683   |
-| 0.0947        | 9.0   | 756  | 0.8317          | 0.8593   |
-| 0.0947        | 10.0  | 840  | 0.8653          | 0.8593   |
-| 0.0947        | 11.0  | 924  | 0.8512          | 0.8683   |
-| 0.0031        | 12.0  | 1008 | 0.8374          | 0.8713   |
-| 0.0031        | 13.0  | 1092 | 0.8369          | 0.8653   |
-| 0.0031        | 14.0  | 1176 | 0.8415          | 0.8653   |
-| 0.0031        | 15.0  | 1260 | 0.8419          | 0.8623   |
+| No log        | 1.0   | 84   | 0.4747          | 0.7994   |
+| No log        | 2.0   | 168  | 0.4092          | 0.8353   |
+| No log        | 3.0   | 252  | 0.4113          | 0.8383   |
+| No log        | 4.0   | 336  | 0.4563          | 0.8383   |
+| No log        | 5.0   | 420  | 0.5089          | 0.8473   |
+| 0.2803        | 6.0   | 504  | 0.7061          | 0.8054   |
+| 0.2803        | 7.0   | 588  | 0.6719          | 0.8473   |
+| 0.2803        | 8.0   | 672  | 0.7272          | 0.8443   |
+| 0.2803        | 9.0   | 756  | 0.7827          | 0.8383   |
+| 0.2803        | 10.0  | 840  | 0.8168          | 0.8383   |
+| 0.2803        | 11.0  | 924  | 0.8543          | 0.8443   |
+| 0.0263        | 12.0  | 1008 | 0.8725          | 0.8383   |
+| 0.0263        | 13.0  | 1092 | 0.8781          | 0.8383   |
+| 0.0263        | 14.0  | 1176 | 0.8775          | 0.8413   |
+| 0.0263        | 15.0  | 1260 | 0.8728          | 0.8383   |
 
 
 ### Framework versions
 
-- Transformers 4.28.1
-- Pytorch 2.0.0+cu118
+- Transformers 4.29.2
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3