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: 0.1407
-- Precision: 0.5507
-- Recall: 0.3643
-- F1: 0.4385
-- Accuracy: 0.9557
+- Loss: 0.1225
+- Precision: 0.8357
+- Recall: 0.6374
+- F1: 0.7232
+- Accuracy: 0.9609
 
 ## Model description
 
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1655        | 1.0   | 298  | 0.1729          | 0.6087    | 0.3718 | 0.4616 | 0.9504   |
-| 0.1056        | 2.0   | 596  | 0.2114          | 0.5463    | 0.4947 | 0.5192 | 0.9587   |
-| 0.0755        | 3.0   | 894  | 0.1800          | 0.5757    | 0.4872 | 0.5277 | 0.9625   |
-| 0.0368        | 4.0   | 1192 | 0.2807          | 0.5693    | 0.4711 | 0.5156 | 0.9600   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:7ca12b53eca38785a109112be1d54e21192fa2b1b1d401e81d3da3c6d75a8002
 size 649039236