Model save

README.md

@@ -20,10 +20,10 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0613
-- Precision: 0.8600
-- Recall: 0.8744
-- F1: 0.8671
+- Loss: 0.0694
+- Precision: 0.8638
+- Recall: 0.8710
+- F1: 0.8674
 
 ## Model description
 
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.0718        | 1.0   | 2350 | 0.0775          | 0.8145    | 0.8438 | 0.8289 |
-| 0.0345        | 2.0   | 4700 | 0.0696          | 0.8414    | 0.8623 | 0.8517 |
-| 0.0181        | 3.0   | 7050 | 0.0781          | 0.8462    | 0.8571 | 0.8516 |
+| 0.0677        | 1.0   | 2350 | 0.0776          | 0.8250    | 0.8429 | 0.8339 |
+| 0.0349        | 2.0   | 4700 | 0.0698          | 0.8397    | 0.8608 | 0.8501 |
+| 0.0181        | 3.0   | 7050 | 0.0790          | 0.8466    | 0.8601 | 0.8533 |
 
 
 ### Framework versions