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-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1603
-- Accuracy: 0.9665
-- F1: 0.9663
+- Loss: 0.1557
+- Accuracy: 0.9677
+- F1: 0.9674
 
 ## Model description
 
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 477  | 0.2315          | 0.9426   | 0.9426 |
-| 0.8852        | 2.0   | 954  | 0.1603          | 0.9665   | 0.9663 |
+| No log        | 1.0   | 477  | 0.1992          | 0.9606   | 0.9605 |
+| 0.6115        | 2.0   | 954  | 0.1557          | 0.9677   | 0.9674 |
 
 
 ### Framework versions
 
-- Transformers 4.57.0
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
-- Datasets 4.2.0
+- Datasets 4.0.0
 - Tokenizers 0.22.1