Model save

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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1353
-- Accuracy: 0.9635
+- Loss: 0.0935
+- Accuracy: 0.9694
 
 ## Model description
 
@@ -37,9 +37,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 338  | 0.1606          | 0.9502   |
-| 0.3717        | 2.0   | 676  | 0.1353          | 0.9635   |
+| 0.1029        | 1.0   | 1378 | 0.0962          | 0.9676   |
+| 0.0632        | 2.0   | 2756 | 0.0935          | 0.9694   |
 
 
 ### Framework versions