Training completed!

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: dbmdz/bert-base-turkish-cased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: bert-duygua15
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # bert-duygua15
 
 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: 0.3342
-- Accuracy: 0.9433
 
 ## Model description
 
@@ -43,22 +38,13 @@ 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: 10
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 75   | 0.1786          | 0.9383   |
-| No log        | 2.0   | 150  | 0.1796          | 0.945    |
-| No log        | 3.0   | 225  | 0.2770          | 0.9233   |
-| No log        | 4.0   | 300  | 0.2481          | 0.9383   |
-| No log        | 5.0   | 375  | 0.2703          | 0.9408   |
-| No log        | 6.0   | 450  | 0.2989          | 0.94     |
-| 0.0994        | 7.0   | 525  | 0.3262          | 0.9433   |
-| 0.0994        | 8.0   | 600  | 0.3299          | 0.9408   |
-| 0.0994        | 9.0   | 675  | 0.3213          | 0.9442   |
-| 0.0994        | 10.0  | 750  | 0.3342          | 0.9433   |
+| No log        | 1.0   | 75   | 0.2231          | 0.9333   |
 
 
 ### Framework versions