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: 0.1997
-- Precision: 0.2772
-- Recall: 0.2082
-- F1: 0.2378
-- Accuracy: 0.9546
+- Loss: 0.1788
+- Precision: 0.3611
+- Recall: 0.2006
+- F1: 0.2579
+- Accuracy: 0.9585
 
 ## Model description
 
@@ -56,10 +56,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.26          | 1.0   | 298  | 0.2223          | 0.2475    | 0.2239 | 0.2351 | 0.9454   |
-| 0.178         | 2.0   | 596  | 0.2438          | 0.5429    | 0.4724 | 0.5052 | 0.9516   |
-| 0.1181        | 3.0   | 894  | 0.2505          | 0.7168    | 0.4521 | 0.5545 | 0.9553   |
-| 0.068         | 4.0   | 1192 | 0.3283          | 0.6257    | 0.5069 | 0.5601 | 0.9558   |
+| 0.279         | 1.0   | 298  | 0.2864          | 0.0       | 0.0    | 0.0    | 0.9420   |
+| 0.2286        | 2.0   | 596  | 0.2713          | 0.25      | 0.0588 | 0.0952 | 0.9472   |
+| 0.1702        | 3.0   | 894  | 0.2439          | 0.3130    | 0.1148 | 0.1680 | 0.9517   |
+| 0.1181        | 4.0   | 1192 | 0.2775          | 0.2473    | 0.1261 | 0.1670 | 0.9496   |
+| 0.0852        | 5.0   | 1490 | 0.3034          | 0.3274    | 0.1541 | 0.2095 | 0.9510   |
+| 0.0502        | 6.0   | 1788 | 0.3130          | 0.3605    | 0.2353 | 0.2847 | 0.9532   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fe004a047c0cb92e01c6f5095f1f108d15b0805bce0be74344e6bd2815981def
 size 649048464