Training completed!

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: 0.4839
-- Accuracy: 0.9642
+- Loss: 0.2132
+- Accuracy: 0.9513
 
 ## Model description
 
@@ -38,25 +38,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 477  | 0.6761          | 0.9523   |
-| 2.403         | 2.0   | 954  | 0.4839          | 0.9642   |
+| No log        | 1.0   | 477  | 0.4093          | 0.8987   |
+| 1.5707        | 2.0   | 954  | 0.2792          | 0.9303   |
+| 0.1038        | 3.0   | 1431 | 0.2174          | 0.9487   |
+| 0.0184        | 4.0   | 1908 | 0.2142          | 0.9506   |
+| 0.0047        | 5.0   | 2385 | 0.2132          | 0.9513   |
 
 
 ### Framework versions
 
-- Transformers 4.56.2
+- Transformers 4.57.0
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1