Training complete!

README.md

@@ -18,8 +18,8 @@ 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: 0.3006
-- Accuracy: 0.9406
+- Loss: 0.1996
+- Accuracy: 0.9448
 
 ## Model description
 
@@ -44,19 +44,22 @@ 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: 7
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 1.6434          | 0.7435   |
-| 1.9562        | 2.0   | 636  | 0.9006          | 0.8661   |
-| 1.9562        | 3.0   | 954  | 0.5509          | 0.9129   |
-| 0.8242        | 4.0   | 1272 | 0.4011          | 0.9313   |
-| 0.4197        | 5.0   | 1590 | 0.3346          | 0.9390   |
-| 0.4197        | 6.0   | 1908 | 0.3087          | 0.9384   |
-| 0.2973        | 7.0   | 2226 | 0.3006          | 0.9406   |
+| No log        | 1.0   | 318  | 1.2238          | 0.7419   |
+| 1.506         | 2.0   | 636  | 0.6259          | 0.8768   |
+| 1.506         | 3.0   | 954  | 0.3668          | 0.9194   |
+| 0.5727        | 4.0   | 1272 | 0.2670          | 0.9355   |
+| 0.2771        | 5.0   | 1590 | 0.2304          | 0.9394   |
+| 0.2771        | 6.0   | 1908 | 0.2161          | 0.9419   |
+| 0.2005        | 7.0   | 2226 | 0.2077          | 0.9435   |
+| 0.1756        | 8.0   | 2544 | 0.2031          | 0.9445   |
+| 0.1756        | 9.0   | 2862 | 0.1999          | 0.9445   |
+| 0.1662        | 10.0  | 3180 | 0.1996          | 0.9448   |
 
 
 ### Framework versions