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: 1.0544
-- F1: 0.7985
+- Loss: 0.6940
+- F1: 0.8544
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.7489        | 1.0   | 329  | 0.6784          | 0.7850 |
-| 0.4744        | 2.0   | 658  | 0.6968          | 0.7898 |
-| 0.2156        | 3.0   | 987  | 0.8822          | 0.7922 |
-| 0.0898        | 4.0   | 1316 | 1.0148          | 0.7906 |
-| 0.0545        | 5.0   | 1645 | 1.0544          | 0.7985 |
+| 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 |
 
 
 ### Framework versions

runs/Jan13_14-25-48_5c2d25ea5850/events.out.tfevents.1736778348.5c2d25ea5850.512951.0

@@ -1,3 +1,3 @@
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-size 10757
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+size 11428