End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0798
-- F1: 0.9721
+- Loss: 0.0894
+- F1: 0.9681
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1374        | 1.0   | 479  | 0.1074          | 0.9663 |
-| 0.086         | 2.0   | 958  | 0.0834          | 0.9717 |
-| 0.0743        | 3.0   | 1437 | 0.0802          | 0.9717 |
-| 0.0764        | 4.0   | 1916 | 0.0799          | 0.9719 |
-| 0.0712        | 5.0   | 2395 | 0.0798          | 0.9721 |
+| 0.1748        | 1.0   | 479  | 0.1267          | 0.9584 |
+| 0.1031        | 2.0   | 958  | 0.0937          | 0.9665 |
+| 0.0843        | 3.0   | 1437 | 0.0906          | 0.9679 |
+| 0.0839        | 4.0   | 1916 | 0.0898          | 0.9675 |
+| 0.0868        | 5.0   | 2395 | 0.0894          | 0.9681 |
 
 
 ### Framework versions