End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.2357
-- Accuracy: 0.9267
-- F1: 0.9266
+- Loss: 0.2426
+- Accuracy: 0.925
+- F1: 0.9250
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.3607        | 1.0   | 313  | 0.2388          | 0.9178   | 0.9176 |
-| 0.1412        | 2.0   | 626  | 0.2357          | 0.9267   | 0.9266 |
+| 0.3883        | 1.0   | 313  | 0.2383          | 0.9192   | 0.9191 |
+| 0.1351        | 2.0   | 626  | 0.2426          | 0.925    | 0.9250 |
 
 
 ### Framework versions
 
 - Transformers 4.56.1
 - Pytorch 2.8.0+cu126
-- Datasets 4.0.0
+- Datasets 4.1.0
 - Tokenizers 0.22.0