End of training

README.md

@@ -17,8 +17,8 @@ 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: 0.6674
-- Accuracy: 0.7185
+- Loss: 0.6607
+- Accuracy: 0.7136
 
 ## Model description
 
@@ -43,7 +43,7 @@ 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: 4
+- num_epochs: 5
 
 ### Training results
 
@@ -52,7 +52,8 @@ The following hyperparameters were used during training:
 | No log        | 1.0   | 270  | 0.6665   | 0.7627          |
 | 0.6949        | 2.0   | 540  | 0.6968   | 0.6960          |
 | 0.6949        | 3.0   | 810  | 0.7038   | 0.6750          |
-| 0.5696        | 4.0   | 1080 | 0.6674   | 0.7185          |
+| 0.5696        | 4.0   | 1080 | 0.7185   | 0.6674          |
+| 0.5696        | 5.0   | 1350 | 0.6607   | 0.7136          |
 
 
 ### Framework versions