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-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2904
-- Accuracy: 0.9228
-- F1: 0.9226
+- Loss: 0.2926
+- Accuracy: 0.9253
+- F1: 0.9252
 
 ## Model description
 
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 313  | 0.2383          | 0.9195   | 0.9194 |
-| 0.1836        | 2.0   | 626  | 0.2904          | 0.9228   | 0.9226 |
+| No log        | 1.0   | 313  | 0.2275          | 0.9258   | 0.9258 |
+| 0.1527        | 2.0   | 626  | 0.2926          | 0.9253   | 0.9252 |
 
 
 ### Framework versions

runs/Oct02_19-08-51_3fa377185cc3/events.out.tfevents.1759432136.3fa377185cc3.798.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7e1ac6b6b8978d7b0d329292e8603fd4dedb0126447c3413be47f4a8bec215d5
-size 17839
+oid sha256:832dcf697f0c6c5d49bc8eb4425a432d6cfab56b35d78bb32f0b99cb9a343394
+size 18562