End of training

README.md

@@ -1,5 +1,5 @@
 ---
-library_name: peft
+library_name: transformers
 license: apache-2.0
 base_model: deepvk/RuModernBERT-base
 tags:
@@ -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: 0.2676
-- Accuracy: 0.8820
-- F1: 0.8440
+- Loss: 0.0141
+- Accuracy: 0.9966
+- F1: 0.9966
 
 ## Model description
 
@@ -47,20 +47,18 @@ The following hyperparameters were used during training:
 - 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
 - num_epochs: 2
-- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.3165        | 1.0   | 888  | 0.2819          | 0.8775   | 0.8310 |
-| 0.2763        | 2.0   | 1776 | 0.2676          | 0.8820   | 0.8440 |
+| 0.0244        | 1.0   | 715  | 0.0143          | 0.9959   | 0.9959 |
+| 0.0068        | 2.0   | 1430 | 0.0141          | 0.9966   | 0.9966 |
 
 
 ### Framework versions
 
-- PEFT 0.15.2
 - Transformers 4.53.0
 - Pytorch 2.7.1+cu126
 - Datasets 3.6.0
-- Tokenizers 0.21.2
+- Tokenizers 0.21.2