Training complete - Assignment 4

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1753
-- Accuracy: 0.9632
+- Loss: 0.1978
+- Accuracy: 0.9548
 
 ## Model description
 
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3128        | 1.0   | 438  | 0.2936          | 0.9206   |
-| 0.063         | 2.0   | 876  | 0.2022          | 0.9545   |
-| 0.0024        | 3.0   | 1314 | 0.1753          | 0.9632   |
+| 0.334         | 1.0   | 438  | 0.3234          | 0.9184   |
+| 0.0504        | 2.0   | 876  | 0.2282          | 0.9458   |
+| 0.0013        | 3.0   | 1314 | 0.1978          | 0.9548   |
 
 
 ### Framework versions
 
-- Transformers 4.56.2
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1