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: 0.1727
-- Accuracy: 0.9668
-- F1 Macro: 0.9704
-- Precision Macro: 0.9711
-- Recall Macro: 0.9717
+- Loss: 0.2510
+- Accuracy: 0.9368
+- F1 Macro: 0.9419
+- Precision Macro: 0.9429
+- Recall Macro: 0.9457
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|
-| 0.2943        | 1.0   | 625  | 0.1899          | 0.9623   | 0.9657   | 0.9660          | 0.9684       |
-| 0.081         | 2.0   | 1250 | 0.1727          | 0.9668   | 0.9704   | 0.9711          | 0.9717       |
+| 16.366        | 1.0   | 625  | 0.3508          | 0.9155   | 0.9211   | 0.9240          | 0.9268       |
+| 0.8392        | 2.0   | 1250 | 0.2510          | 0.9368   | 0.9419   | 0.9429          | 0.9457       |
 
 
 ### Framework versions

runs/Oct26_16-57-17_49ca29516c75/events.out.tfevents.1761498970.49ca29516c75.609.1

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