End of training

README.md

@@ -18,8 +18,8 @@ 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: 0.6940
-- F1: 0.8544
+- Loss: 0.8366
+- F1: 0.8161
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.5434        | 1.0   | 329  | 0.4882          | 0.8428 |
-| 0.3423        | 2.0   | 658  | 0.5273          | 0.8361 |
-| 0.1917        | 3.0   | 987  | 0.5796          | 0.8392 |
-| 0.0891        | 4.0   | 1316 | 0.6407          | 0.8497 |
-| 0.035         | 5.0   | 1645 | 0.6940          | 0.8544 |
+| 0.7408        | 1.0   | 422  | 0.6885          | 0.7863 |
+| 0.4746        | 2.0   | 844  | 0.6421          | 0.8101 |
+| 0.2588        | 3.0   | 1266 | 0.7284          | 0.8099 |
+| 0.1239        | 4.0   | 1688 | 0.8037          | 0.8181 |
+| 0.0516        | 5.0   | 2110 | 0.8366          | 0.8161 |
 
 
 ### Framework versions

model.safetensors

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runs/Jan13_14-34-30_5c2d25ea5850/events.out.tfevents.1736778870.5c2d25ea5850.518565.0

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