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: 1.6774
-- Accuracy: 0.4038
+- Loss: 1.6396
+- Accuracy: 0.4191
 
 ## Model description
 
@@ -42,19 +42,22 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 189  | 1.7138          | 0.3960   |
-| No log        | 2.0   | 378  | 1.6774          | 0.4038   |
+| No log        | 1.0   | 189  | 1.6919          | 0.4019   |
+| No log        | 2.0   | 378  | 1.6525          | 0.4173   |
+| 1.718         | 3.0   | 567  | 1.6504          | 0.4153   |
+| 1.718         | 4.0   | 756  | 1.6403          | 0.4196   |
+| 1.718         | 5.0   | 945  | 1.6396          | 0.4191   |
 
 
 ### Framework versions
 
 - Transformers 4.24.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.12.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3