Training completed!

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dbmdz/bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2663
+- Loss: 0.4518
 - Accuracy: 0.9333
 
 ## Model description
@@ -43,15 +43,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 71   | 0.2038          | 0.9524   |
-| No log        | 2.0   | 142  | 0.2325          | 0.9333   |
-| No log        | 3.0   | 213  | 0.2663          | 0.9333   |
+| No log        | 1.0   | 71   | 0.2237          | 0.9333   |
+| No log        | 2.0   | 142  | 0.2419          | 0.9333   |
+| No log        | 3.0   | 213  | 0.3137          | 0.9238   |
+| No log        | 4.0   | 284  | 0.3441          | 0.9143   |
+| No log        | 5.0   | 355  | 0.3309          | 0.9524   |
+| No log        | 6.0   | 426  | 0.3131          | 0.9524   |
+| No log        | 7.0   | 497  | 0.3892          | 0.9333   |
+| 0.1143        | 8.0   | 568  | 0.4482          | 0.9238   |
+| 0.1143        | 9.0   | 639  | 0.4669          | 0.9238   |
+| 0.1143        | 10.0  | 710  | 0.4518          | 0.9333   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9ec4c43adaad04279a0f519bcfa1997b6f4195a6470f319379006f1510ab317f
 size 442499064