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: 0.1509
-- Accuracy: 0.95
+- Loss: 0.7145
+- Accuracy: 0.7692
 
 ## Model description
 
@@ -48,21 +48,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 0.5844          | 0.95     |
-| No log        | 2.0   | 20   | 0.3603          | 0.95     |
-| No log        | 3.0   | 30   | 0.2268          | 0.95     |
-| No log        | 4.0   | 40   | 0.2013          | 0.925    |
-| No log        | 5.0   | 50   | 0.1658          | 0.95     |
-| No log        | 6.0   | 60   | 0.1828          | 0.95     |
-| No log        | 7.0   | 70   | 0.1428          | 0.95     |
-| No log        | 8.0   | 80   | 0.1444          | 0.95     |
-| No log        | 9.0   | 90   | 0.1471          | 0.95     |
-| No log        | 10.0  | 100  | 0.1509          | 0.95     |
+| No log        | 1.0   | 33   | 0.7357          | 0.6385   |
+| No log        | 2.0   | 66   | 0.6801          | 0.6615   |
+| No log        | 3.0   | 99   | 0.6015          | 0.7923   |
+| No log        | 4.0   | 132  | 0.6450          | 0.7615   |
+| No log        | 5.0   | 165  | 0.7437          | 0.7      |
+| No log        | 6.0   | 198  | 0.5748          | 0.7692   |
+| No log        | 7.0   | 231  | 0.8001          | 0.7077   |
+| No log        | 8.0   | 264  | 0.6965          | 0.7615   |
+| No log        | 9.0   | 297  | 0.7052          | 0.7538   |
+| No log        | 10.0  | 330  | 0.7145          | 0.7692   |
 
 
 ### Framework versions
 
 - Transformers 4.29.2
-- Pytorch 2.0.0+cu118
+- Pytorch 2.0.1+cu118
 - Datasets 2.12.0
 - Tokenizers 0.13.3