Update README.md

README.md

@@ -1,3 +1,12 @@
+---
+license: mit
+language:
+- tr
+metrics:
+- accuracy
+library_name: bertopic
+pipeline_tag: text-classification
+---
 language: 
 - tr
 thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
@@ -6,25 +15,31 @@ tags:
 - emotion
 - pytorch
 datasets:
-- emotion (Translated to Turkish)
+- emotion
 metrics:
 - Accuracy, F1 Score
 ---
-# distilbert-base-turkish-cased-emotion
+# bert-base-turkish-cased-emotion
 
 ## Model description:
-[Distilbert-base-turkish-cased](https://huggingface.co/dbmdz/distilbert-base-turkish-cased) finetuned on the emotion dataset (Translated to Turkish via Google Translate API) using HuggingFace Trainer with below Hyperparameters
+[bert-base-turkish-cased](https://huggingface.co/dbmdz/bert-base-turkish-cased) finetuned on Turkish film comments shared in beyazperde.com with the help of BERTurk pretrained language model using PyTorch and Huggingface Transformers library.
 ```
  learning rate 2e-5, 
- batch size 64,
- num_train_epochs=8,
+ batch size 32,
+ num_train_epochs=5,
+ optimizer=AdamW
 ```
 
-## Model Performance Comparision on Emotion Dataset from Twitter:
+## Model Performance
+
+precision    recall  f1-score   support
 
-| Model | Accuracy | F1 Score |  Test Sample per Second |
-| --- | --- | --- | --- |
-| [Distilbert-base-turkish-cased-emotion](https://huggingface.co/zafercavdar/distilbert-base-turkish-cased-emotion) | 83.25 | 83.17 | 232.197 |
+           0       0.93      0.93      0.93      1333
+           1       0.93      0.93      0.93      1333
+
+    accuracy                           0.93      2666
+   macro avg       0.93      0.93      0.93      2666
+weighted avg       0.93      0.93      0.93      2666
 
 ## How to Use the model:
 ```python
@@ -52,16 +67,4 @@ Output:
 ```
 
 ## Dataset:
-[Twitter-Sentiment-Analysis](https://huggingface.co/nlp/viewer/?dataset=emotion).
-
-## Eval results
-```json
-{
- 'eval_accuracy': 0.8325,
- 'eval_f1': 0.8317301441160213,
- 'eval_loss': 0.5021793842315674,
- 'eval_runtime': 8.6167,
- 'eval_samples_per_second': 232.108,
- 'eval_steps_per_second': 3.714
-}
-```
+[Twitter-Sentiment-Analysis](https://huggingface.co/nlp/viewer/?dataset=emotion).