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: 0.0316
-- Accuracy: 0.9911
-- F1: 0.9910
+- Loss: 0.0286
+- Accuracy: 0.9917
+- F1: 0.9915
 
 ## Model description
 
@@ -41,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 896
-- eval_batch_size: 896
+- train_batch_size: 900
+- eval_batch_size: 900
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.0559        | 1.0   | 409  | 0.0333          | 0.9907   | 0.9905 |
-| 0.0312        | 2.0   | 818  | 0.0316          | 0.9911   | 0.9910 |
+| 0.0463        | 1.0   | 407  | 0.0303          | 0.9913   | 0.9912 |
+| 0.0276        | 2.0   | 814  | 0.0286          | 0.9917   | 0.9915 |
 
 
 ### Framework versions