End of training

README.md

@@ -19,9 +19,9 @@ 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: 0.1617
-- Accuracy: 0.9632
-- F1: 0.9628
+- Loss: 0.2007
+- Accuracy: 0.96
+- F1: 0.9595
 
 ## Model description
 
@@ -46,19 +46,22 @@ 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: 2
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2363          | 0.9416   | 0.9407 |
-| 0.6548        | 2.0   | 626  | 0.1617          | 0.9632   | 0.9628 |
+| No log        | 1.0   | 313  | 0.3100          | 0.9232   | 0.9200 |
+| 0.6217        | 2.0   | 626  | 0.2732          | 0.9455   | 0.9448 |
+| 0.6217        | 3.0   | 939  | 0.2238          | 0.9565   | 0.9556 |
+| 0.0439        | 4.0   | 1252 | 0.2022          | 0.9606   | 0.9602 |
+| 0.0057        | 5.0   | 1565 | 0.2007          | 0.96     | 0.9595 |
 
 
 ### Framework versions
 
-- Transformers 4.56.2
+- Transformers 4.57.1
 - Pytorch 2.8.0+cu126
 - Datasets 4.0.0
 - Tokenizers 0.22.1