End of training

README.md

@@ -17,8 +17,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7783
-- Accuracy: 0.7139
+- Loss: 0.8256
+- Accuracy: 0.7192
 
 ## Model description
 
@@ -43,15 +43,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.7383        | 1.0   | 4594  | 0.7102          | 0.6962   |
-| 0.6036        | 2.0   | 9188  | 0.7032          | 0.7134   |
-| 0.4428        | 3.0   | 13782 | 0.7783          | 0.7139   |
+| 0.7372        | 1.0   | 4594  | 0.6946          | 0.7048   |
+| 0.5846        | 2.0   | 9188  | 0.7168          | 0.7141   |
+| 0.4039        | 3.0   | 13782 | 0.8256          | 0.7192   |
+| 0.2594        | 4.0   | 18376 | 1.0364          | 0.7150   |
+| 0.2031        | 5.0   | 22970 | 1.3181          | 0.7139   |
 
 
 ### Framework versions

model.safetensors

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 size 442502140

runs/Jan29_12-35-32_324ac9ce67d0/events.out.tfevents.1706541855.324ac9ce67d0.610.1

@@ -0,0 +1,3 @@
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+size 417