Model save

README.md

@@ -20,10 +20,10 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0694
-- Precision: 0.8638
-- Recall: 0.8710
-- F1: 0.8674
+- Loss: 0.0679
+- Precision: 0.8636
+- Recall: 0.8704
+- F1: 0.8670
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| 0.0677        | 1.0   | 2350 | 0.0776          | 0.8250    | 0.8429 | 0.8339 |
-| 0.0349        | 2.0   | 4700 | 0.0698          | 0.8397    | 0.8608 | 0.8501 |
-| 0.0181        | 3.0   | 7050 | 0.0790          | 0.8466    | 0.8601 | 0.8533 |
+| 0.0698        | 1.0   | 2350 | 0.0795          | 0.8121    | 0.8344 | 0.8231 |
+| 0.0356        | 2.0   | 4700 | 0.0707          | 0.8438    | 0.8575 | 0.8506 |
+| 0.0184        | 3.0   | 7050 | 0.0795          | 0.8461    | 0.8567 | 0.8513 |
 
 
 ### Framework versions
 
-- Transformers 4.48.0.dev0
+- Transformers 4.48.0
 - Pytorch 2.5.0+cu124
 - Datasets 3.1.0
 - Tokenizers 0.21.0