End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0900
-- F1: 0.5763
+- Loss: 1.1094
+- F1: 0.5669
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.2512        | 1.0   | 1576 | 1.1782          | 0.5162 |
-| 1.1867        | 2.0   | 3152 | 1.1234          | 0.5530 |
-| 1.1324        | 3.0   | 4728 | 1.1007          | 0.5673 |
-| 1.1078        | 4.0   | 6304 | 1.0969          | 0.5690 |
-| 1.09          | 5.0   | 7880 | 1.0900          | 0.5763 |
+| 1.249         | 1.0   | 1576 | 1.1862          | 0.5172 |
+| 1.1963        | 2.0   | 3152 | 1.1461          | 0.5407 |
+| 1.1495        | 3.0   | 4728 | 1.1241          | 0.5570 |
+| 1.1192        | 4.0   | 6304 | 1.1172          | 0.5634 |
+| 1.1025        | 5.0   | 7880 | 1.1094          | 0.5669 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
 - Tokenizers 0.19.1