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: 0.1225
-- Precision: 0.8357
-- Recall: 0.6374
-- F1: 0.7232
-- Accuracy: 0.9609
+- Loss: 0.1372
+- Precision: 0.8204
+- Recall: 0.5735
+- F1: 0.6751
+- Accuracy: 0.9570
 
 ## Model description
 
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1648        | 1.0   | 298  | 0.1416          | 0.8091    | 0.6586 | 0.7261 | 0.9535   |
-| 0.1114        | 2.0   | 596  | 0.1698          | 0.8431    | 0.7888 | 0.8151 | 0.9642   |
-| 0.064         | 3.0   | 894  | 0.1908          | 0.8459    | 0.7500 | 0.7951 | 0.9622   |
-| 0.0331        | 4.0   | 1192 | 0.3295          | 0.8624    | 0.7073 | 0.7772 | 0.9608   |
+| 0.1746        | 1.0   | 298  | 0.1712          | 0.8174    | 0.5598 | 0.6645 | 0.9486   |
+| 0.1104        | 2.0   | 596  | 0.1771          | 0.8273    | 0.7134 | 0.7662 | 0.9581   |
+| 0.0684        | 3.0   | 894  | 0.2236          | 0.8564    | 0.6927 | 0.7659 | 0.9593   |
+| 0.0375        | 4.0   | 1192 | 0.2714          | 0.8429    | 0.7108 | 0.7712 | 0.9594   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 649039236