End of training

README.md

@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [deepvk/RuModernBERT-base](https://huggingface.co/deepvk/RuModernBERT-base) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
-- Accuracy: 0.8730
-- F1: 0.8137
+- Accuracy: 0.8743
+- F1: 0.8156
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.2369        | 1.0   | 711  | nan             | 0.8730   | 0.8137 |
-| 0.0           | 2.0   | 1422 | nan             | 0.8730   | 0.8137 |
+| 3.6467        | 1.0   | 888  | nan             | 0.8743   | 0.8156 |
+| 0.0           | 2.0   | 1776 | nan             | 0.8743   | 0.8156 |
 
 
 ### Framework versions