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: 0.5701
-- F1: 0.5914
-- Accuracy: 0.68
-- Precision: 0.5826
-- Recall: 0.68
+- Loss: 0.5555
+- F1: 0.6007
+- Accuracy: 0.696
+- Precision: 0.6271
+- Recall: 0.696
 
 ## 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    | 0.6266          | 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   |
+| No log        | 0     | 0    | 0.8275          | 0.2749 | 0.336    | 0.5265    | 0.336  |
+| No log        | 1.0   | 8    | 0.6056          | 0.6355 | 0.669    | 0.6265    | 0.669  |
+| 0.7136        | 2.0   | 16   | 0.5566          | 0.6004 | 0.693    | 0.6178    | 0.693  |
+| 0.5579        | 3.0   | 24   | 0.5555          | 0.6007 | 0.696    | 0.6271    | 0.696  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:22b9c5049381cc4b28001d7a0337fce1ea63c70c671c41b089b3d7348b2adf5f
 size 299225554