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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2764
-- F1: 0.9359
+- Loss: 0.2857
+- F1: 0.9325
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4462        | 1.0   | 313  | 0.3801          | 0.9002 |
-| 0.1553        | 2.0   | 626  | 0.3170          | 0.9138 |
-| 0.0373        | 3.0   | 939  | 0.3011          | 0.9290 |
-| 0.0079        | 4.0   | 1252 | 0.2750          | 0.9349 |
-| 0.0013        | 5.0   | 1565 | 0.2764          | 0.9359 |
+| 0.4844        | 1.0   | 313  | 0.4036          | 0.8962 |
+| 0.1605        | 2.0   | 626  | 0.3710          | 0.9036 |
+| 0.0319        | 3.0   | 939  | 0.2999          | 0.9238 |
+| 0.0103        | 4.0   | 1252 | 0.2893          | 0.9312 |
+| 0.0019        | 5.0   | 1565 | 0.2857          | 0.9325 |
 
 
 ### Framework versions

runs/Jan09_14-43-55_5c2d25ea5850/events.out.tfevents.1736433837.5c2d25ea5850.92814.0

@@ -1,3 +1,3 @@
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+size 16101