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 [deepvk/RuModernBERT-base](https://huggingface.co/deepvk/RuModernBERT-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0226
-- Accuracy: 0.9957
-- F1: 0.9957
+- Loss: 0.0144
+- Accuracy: 0.9962
+- F1: 0.9962
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 512
 - eval_batch_size: 512
 - seed: 42
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.0094        | 1.0   | 570  | 0.0187          | 0.9954   | 0.9953 |
-| 0.0022        | 2.0   | 1140 | 0.0226          | 0.9957   | 0.9957 |
+| 0.022         | 1.0   | 572  | 0.0149          | 0.9957   | 0.9956 |
+| 0.0075        | 2.0   | 1144 | 0.0144          | 0.9962   | 0.9962 |
 
 
 ### Framework versions