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: 2.4917
-- Accuracy: 0.1472
+- Loss: 2.8670
+- Accuracy: 0.1863
 
 ## Model description
 
@@ -42,17 +42,19 @@ 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: 5
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7712        | 1.0   | 875  | 2.6037          | 0.1212   |
-| 2.4896        | 2.0   | 1750 | 2.5123          | 0.1365   |
-| 2.2153        | 3.0   | 2625 | 2.4918          | 0.142    |
-| 1.93          | 4.0   | 3500 | 2.4917          | 0.1472   |
-| 1.804         | 5.0   | 4375 | 2.5146          | 0.146    |
+| 2.6746        | 1.0   | 919  | 2.5961          | 0.1324   |
+| 2.3991        | 2.0   | 1838 | 2.5052          | 0.1448   |
+| 2.036         | 3.0   | 2757 | 2.5028          | 0.1554   |
+| 1.6838        | 4.0   | 3676 | 2.6002          | 0.1614   |
+| 1.3583        | 5.0   | 4595 | 2.7135          | 0.1783   |
+| 1.17          | 6.0   | 5514 | 2.8161          | 0.1787   |
+| 1.0365        | 7.0   | 6433 | 2.8670          | 0.1863   |
 
 
 ### Framework versions