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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3940
-- F1: 0.8351
+- Loss: 0.9299
+- F1: 0.7077
 
 ## Model description
 
@@ -50,13 +50,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 100  | 0.4634          | 0.7961 |
-| No log        | 2.0   | 200  | 0.3940          | 0.8351 |
+| No log        | 1.0   | 60   | 1.2415          | 0.3639 |
+| No log        | 2.0   | 120  | 0.9299          | 0.7077 |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
+- Pytorch 2.5.0+cu121
 - Datasets 3.0.2
 - Tokenizers 0.19.1