Model save

README.md

@@ -21,11 +21,11 @@ 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: 0.3966
-- F1: 0.7882
-- Accuracy: 0.7947
-- Precision: 0.7875
-- Recall: 0.7947
+- Loss: 0.5701
+- F1: 0.5914
+- Accuracy: 0.68
+- Precision: 0.5826
+- Recall: 0.68
 
 ## Model description
 
@@ -57,10 +57,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
-| No log        | 0     | 0    | 0.7357          | 0.5033 | 0.4852   | 0.5333    | 0.4852 |
-| 0.4203        | 1.0   | 385  | 0.4133          | 0.7802 | 0.7850   | 0.7785    | 0.7850 |
-| 0.4072        | 2.0   | 770  | 0.3975          | 0.7876 | 0.7956   | 0.7880    | 0.7956 |
-| 0.3939        | 3.0   | 1155 | 0.3966          | 0.7882 | 0.7947   | 0.7875    | 0.7947 |
+| No log        | 0     | 0    | 0.6266          | 0.5785 | 0.69     | 0.5557    | 0.69   |
+| No log        | 1.0   | 8    | 0.5863          | 0.5834 | 0.684    | 0.5685    | 0.684  |
+| 0.609         | 2.0   | 16   | 0.5709          | 0.5914 | 0.68     | 0.5826    | 0.68   |
+| 0.5855        | 3.0   | 24   | 0.5701          | 0.5914 | 0.68     | 0.5826    | 0.68   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:76cf9b592fcd1f8e750ab8a3040b646d094949af08f393367a8493efd3834283
 size 299227092