Training complete

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-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2633
-- Accuracy: 0.9594
+- Loss: 0.7741
+- Accuracy: 0.9535
 
 ## Model description
 
@@ -44,21 +44,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 477  | 0.5658          | 0.9148   |
-| 2.6265        | 2.0   | 954  | 0.3255          | 0.9510   |
-| 0.2274        | 3.0   | 1431 | 0.2701          | 0.9584   |
-| 0.0986        | 4.0   | 1908 | 0.2633          | 0.9594   |
+| No log        | 1.0   | 313  | 3.4520          | 0.8368   |
+| 6.0158        | 2.0   | 626  | 1.4572          | 0.9303   |
+| 6.0158        | 3.0   | 939  | 1.0490          | 0.9461   |
+| 1.1379        | 4.0   | 1252 | 0.8826          | 0.9532   |
+| 0.6026        | 5.0   | 1565 | 0.7999          | 0.9535   |
+| 0.6026        | 6.0   | 1878 | 0.7741          | 0.9535   |
 
 
 ### Framework versions
 
-- Transformers 4.57.0
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1