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: 0.7354
-- Accuracy: 0.9548
+- Loss: 0.7808
+- Accuracy: 0.9506
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 313  | 2.8941          | 0.8581   |
-| 6.7749        | 2.0   | 626  | 1.1142          | 0.9371   |
-| 6.7749        | 3.0   | 939  | 0.8561          | 0.9526   |
-| 0.7409        | 4.0   | 1252 | 0.7654          | 0.9529   |
-| 0.377         | 5.0   | 1565 | 0.7354          | 0.9548   |
+| No log        | 1.0   | 313  | 2.9367          | 0.8661   |
+| 6.6903        | 2.0   | 626  | 1.1788          | 0.9284   |
+| 6.6903        | 3.0   | 939  | 0.9195          | 0.9432   |
+| 0.7702        | 4.0   | 1252 | 0.8179          | 0.9471   |
+| 0.387         | 5.0   | 1565 | 0.7808          | 0.9506   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:75a31488fc9c401e084886c866bba5f49900bd9eb38811af89821d30c2021bc1
+oid sha256:426b7d466a13ea496f79ea067bebb266cb8d85b7d61caa2ab37d98384804b7b9
 size 598898116