update model card README.md

README.md

@@ -14,7 +14,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.3973
+- Loss: 4.1282
 
 ## Model description
 
@@ -39,27 +39,37 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 20
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 21   | 3.8598          |
-| No log        | 2.0   | 42   | 3.3527          |
-| No log        | 3.0   | 63   | 3.2951          |
-| No log        | 4.0   | 84   | 3.2875          |
-| No log        | 5.0   | 105  | 3.2971          |
-| No log        | 6.0   | 126  | 3.3236          |
-| No log        | 7.0   | 147  | 3.3624          |
-| No log        | 8.0   | 168  | 3.3717          |
-| No log        | 9.0   | 189  | 3.3847          |
-| No log        | 10.0  | 210  | 3.3973          |
+| No log        | 1.0   | 21   | 4.8068          |
+| No log        | 2.0   | 42   | 4.2013          |
+| No log        | 3.0   | 63   | 4.1314          |
+| No log        | 4.0   | 84   | 4.1801          |
+| No log        | 5.0   | 105  | 4.0462          |
+| No log        | 6.0   | 126  | 4.0440          |
+| No log        | 7.0   | 147  | 4.0000          |
+| No log        | 8.0   | 168  | 4.1003          |
+| No log        | 9.0   | 189  | 4.0352          |
+| No log        | 10.0  | 210  | 4.0905          |
+| No log        | 11.0  | 231  | 4.0861          |
+| No log        | 12.0  | 252  | 4.0542          |
+| No log        | 13.0  | 273  | 4.0622          |
+| No log        | 14.0  | 294  | 4.1420          |
+| No log        | 15.0  | 315  | 4.1125          |
+| No log        | 16.0  | 336  | 4.1990          |
+| No log        | 17.0  | 357  | 4.1098          |
+| No log        | 18.0  | 378  | 4.1217          |
+| No log        | 19.0  | 399  | 4.1306          |
+| No log        | 20.0  | 420  | 4.1282          |
 
 
 ### Framework versions
 
-- Transformers 4.24.0
+- Transformers 4.25.1
 - Pytorch 1.12.1+cu113
-- Datasets 2.6.1
+- Datasets 2.7.1
 - Tokenizers 0.13.2