readme: ---
  language: 
  - tr
  thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
  tags:
  - text-classification
  - emotion
  - pytorch
  datasets:
  - emotion (Translated to Turkish)
  metrics:
  - Accuracy, F1 Score
  ---
  # distilbert-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
  ```
   learning rate 2e-5, 
   batch size 64,
   num_train_epochs=8,
  ```
  
  ## Model Performance Comparision on Emotion Dataset from Twitter:
  
  | 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 |
  
  ## How to Use the model:
  ```python
  from transformers import pipeline
  classifier = pipeline("text-classification",
                         model='zafercavdar/distilbert-base-turkish-cased-emotion',
                         return_all_scores=True)
  prediction = classifier("Bu kütüphaneyi seviyorum, en iyi yanı kolay kullanımı.", )
  print(prediction)
  
  """
  Output:
  [
    [
      {'label': 'sadness', 'score': 0.0026786490343511105},
      {'label': 'joy', 'score': 0.6600754261016846},
      {'label': 'love', 'score': 0.3203163146972656},
      {'label': 'anger', 'score': 0.004358913749456406},
      {'label': 'fear', 'score': 0.002354539930820465},
      {'label': 'surprise', 'score': 0.010216088965535164}
    ]
  ]
  
  """
  ```
  
  ## 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
  }
  ```