End of training

README.md

@@ -19,7 +19,7 @@ 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: nan
-- F1: 0.0077
+- F1: 0.0045
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 29   | nan             | 0.0077 |
-| No log        | 2.0   | 58   | nan             | 0.0077 |
-| No log        | 3.0   | 87   | nan             | 0.0077 |
-| 0.0           | 4.0   | 116  | nan             | 0.0077 |
-| 0.0           | 5.0   | 145  | nan             | 0.0077 |
+| No log        | 1.0   | 29   | nan             | 0.0045 |
+| No log        | 2.0   | 58   | nan             | 0.0045 |
+| No log        | 3.0   | 87   | nan             | 0.0045 |
+| 0.0           | 4.0   | 116  | nan             | 0.0045 |
+| 0.0           | 5.0   | 145  | nan             | 0.0045 |
 
 
 ### Framework versions
 
-- Transformers 4.48.0
+- Transformers 4.48.0.dev0
 - Pytorch 2.5.0+cu124
 - Datasets 3.1.0
 - Tokenizers 0.21.2