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-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1929
-- Accuracy: 0.9671
-- F1: 0.9665
+- Loss: 0.1836
+- Accuracy: 0.9645
+- F1: 0.9638
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2357          | 0.9465   | 0.9448 |
-| 0.5512        | 2.0   | 626  | 0.2273          | 0.9577   | 0.9573 |
-| 0.5512        | 3.0   | 939  | 0.2042          | 0.9606   | 0.9601 |
-| 0.0408        | 4.0   | 1252 | 0.1951          | 0.9652   | 0.9646 |
-| 0.0057        | 5.0   | 1565 | 0.1929          | 0.9671   | 0.9665 |
+| No log        | 1.0   | 313  | 0.2506          | 0.9413   | 0.9409 |
+| 0.7902        | 2.0   | 626  | 0.2204          | 0.9539   | 0.9531 |
+| 0.7902        | 3.0   | 939  | 0.1996          | 0.9584   | 0.9573 |
+| 0.0408        | 4.0   | 1252 | 0.1910          | 0.9606   | 0.9596 |
+| 0.0061        | 5.0   | 1565 | 0.1836          | 0.9645   | 0.9638 |
 
 
 ### Framework versions