End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2546
-- Accuracy: 0.9225
-- F1: 0.9224
+- Loss: 0.2413
+- Accuracy: 0.9261
+- F1: 0.9260
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.3627        | 1.0   | 313  | 0.2481          | 0.9153   | 0.9150 |
-| 0.1423        | 2.0   | 626  | 0.2546          | 0.9225   | 0.9224 |
+| 0.3561        | 1.0   | 313  | 0.2362          | 0.92     | 0.9200 |
+| 0.14          | 2.0   | 626  | 0.2413          | 0.9261   | 0.9260 |
 
 
 ### Framework versions