Training completed!

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0718
-- Accuracy: 0.9384
+- Loss: 0.0723
+- Accuracy: 0.9345
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 0.5346          | 0.6926   |
-| 0.7856        | 2.0   | 636  | 0.2075          | 0.8571   |
-| 0.7856        | 3.0   | 954  | 0.1200          | 0.9142   |
-| 0.2224        | 4.0   | 1272 | 0.0947          | 0.9284   |
-| 0.1191        | 5.0   | 1590 | 0.0843          | 0.9326   |
-| 0.1191        | 6.0   | 1908 | 0.0787          | 0.9339   |
-| 0.0951        | 7.0   | 2226 | 0.0754          | 0.9368   |
-| 0.0855        | 8.0   | 2544 | 0.0739          | 0.9381   |
-| 0.0855        | 9.0   | 2862 | 0.0722          | 0.9387   |
-| 0.0814        | 10.0  | 3180 | 0.0718          | 0.9384   |
+| No log        | 1.0   | 318  | 0.5334          | 0.6965   |
+| 0.7862        | 2.0   | 636  | 0.2075          | 0.8623   |
+| 0.7862        | 3.0   | 954  | 0.1198          | 0.9103   |
+| 0.2221        | 4.0   | 1272 | 0.0946          | 0.9268   |
+| 0.1188        | 5.0   | 1590 | 0.0850          | 0.9265   |
+| 0.1188        | 6.0   | 1908 | 0.0789          | 0.9323   |
+| 0.0952        | 7.0   | 2226 | 0.0757          | 0.9329   |
+| 0.0855        | 8.0   | 2544 | 0.0740          | 0.9342   |
+| 0.0855        | 9.0   | 2862 | 0.0725          | 0.9348   |
+| 0.0813        | 10.0  | 3180 | 0.0723          | 0.9345   |
 
 
 ### Framework versions