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: 1.0729
-- F1: 0.7793
+- Loss: 1.0544
+- F1: 0.7985
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.8558        | 1.0   | 394  | 0.7758          | 0.7761 |
-| 0.5148        | 2.0   | 788  | 0.7445          | 0.7702 |
-| 0.2466        | 3.0   | 1182 | 0.8782          | 0.7809 |
-| 0.1071        | 4.0   | 1576 | 1.0124          | 0.7789 |
-| 0.0579        | 5.0   | 1970 | 1.0729          | 0.7793 |
+| 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 |
 
 
 ### Framework versions

runs/Jan13_12-34-53_5c2d25ea5850/events.out.tfevents.1736771694.5c2d25ea5850.453665.0

@@ -1,3 +1,3 @@
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-size 10757
+oid sha256:a62fed7445ca13f9ae67a18636fd45de2ab7825b64524d5ebdf26d9db35e936a
+size 11428