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: 0.4998
-- Accuracy: 0.8345
-- F1: 0.8343
+- Loss: 0.5196
+- Accuracy: 0.8220
+- F1: 0.8217
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.914         | 1.0   | 625  | 0.5164          | 0.8108   | 0.8095 |
-| 0.3831        | 2.0   | 1250 | 0.4998          | 0.8345   | 0.8343 |
+| 1.0496        | 1.0   | 625  | 0.5984          | 0.7713   | 0.7686 |
+| 0.4734        | 2.0   | 1250 | 0.5196          | 0.8220   | 0.8217 |
 
 
 ### Framework versions
 
-- Transformers 4.56.2
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1