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: 0.2515
-- Accuracy: 0.9268
-- F1: 0.9269
+- Loss: 0.2418
+- Accuracy: 0.9317
+- F1: 0.9317
 
 ## 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   | 313  | 0.2475          | 0.9153   | 0.9151 |
-| 0.2678        | 2.0   | 626  | 0.2515          | 0.9268   | 0.9269 |
+| 0.3094        | 1.0   | 625  | 0.2293          | 0.9238   | 0.9236 |
+| 0.1412        | 2.0   | 1250 | 0.2418          | 0.9317   | 0.9317 |
 
 
 ### Framework versions
 
-- Transformers 4.56.1
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
-- Tokenizers 0.22.0
+- Tokenizers 0.22.1