End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2451
-- Precision: 0.3393
-- Recall: 0.1098
-- F1: 0.1659
-- Accuracy: 0.9261
+- Loss: 0.1493
+- Precision: 0.5667
+- Recall: 0.3527
+- F1: 0.4348
+- Accuracy: 0.9576
 
 ## Model description
 
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.2144        | 1.0   | 328  | 0.1995          | 0.4647    | 0.2380 | 0.3147 | 0.9394   |
-| 0.1404        | 2.0   | 656  | 0.2230          | 0.3410    | 0.4036 | 0.3697 | 0.9253   |
-| 0.0939        | 3.0   | 984  | 0.2399          | 0.4864    | 0.3223 | 0.3877 | 0.9436   |
-| 0.0568        | 4.0   | 1312 | 0.2954          | 0.4086    | 0.4578 | 0.4318 | 0.9326   |
+| 0.1928        | 1.0   | 298  | 0.1833          | 0.5289    | 0.2278 | 0.3184 | 0.9471   |
+| 0.1299        | 2.0   | 596  | 0.2261          | 0.4174    | 0.3238 | 0.3647 | 0.9456   |
+| 0.0756        | 3.0   | 894  | 0.2298          | 0.4713    | 0.4093 | 0.4381 | 0.9504   |
+| 0.0447        | 4.0   | 1192 | 0.2779          | 0.5556    | 0.3915 | 0.4593 | 0.9523   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:908df3c1f861f5be41532e5da8723b741fe8018e0f1dbcbf753b98cde76c1a2e
 size 649039236