End of training

README.md

@@ -18,11 +18,11 @@ 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: 0.1837
-- Accuracy: 0.9690
-- F1 Macro: 0.9722
-- Precision Macro: 0.9711
-- Recall Macro: 0.9751
+- Loss: 0.2144
+- Accuracy: 0.9671
+- F1 Macro: 0.9712
+- Precision Macro: 0.9699
+- Recall Macro: 0.9747
 
 ## Model description
 
@@ -57,8 +57,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|
-| 0.2674        | 1.0   | 625  | 0.2253          | 0.9626   | 0.9666   | 0.9659          | 0.9701       |
-| 0.1054        | 2.0   | 1250 | 0.1837          | 0.9690   | 0.9722   | 0.9711          | 0.9751       |
+| 0.2662        | 1.0   | 625  | 0.2202          | 0.9626   | 0.9659   | 0.9666          | 0.9682       |
+| 0.0885        | 2.0   | 1250 | 0.2144          | 0.9671   | 0.9712   | 0.9699          | 0.9747       |
 
 
 ### Framework versions

runs/Oct21_18-47-00_4a2630d147c6/events.out.tfevents.1761073659.4a2630d147c6.308.5

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