readme: ---
  language: 
  - en
  thumbnail: https://avatars3.githubusercontent.com/u/32437151?s=460&u=4ec59abc8d21d5feea3dab323d23a5860e6996a4&v=4
  tags:
  - text-classification
  - go-emotion
  - pytorch
  license: apache-2.0
  datasets:
  - go_emotions
  metrics:
  - Accuracy
  ---
  # Distilbert-Base-Uncased-Go-Emotion
  
  ## Model description:
  
  **Not working fine**
  
  ## Training Parameters:
  ```
    Num Epochs = 3
    Instantaneous batch size per device = 32
    Total train batch size (w. parallel, distributed & accumulation) = 32
    Gradient Accumulation steps = 1
    Total optimization steps = 15831
  ```
  
  ## TrainOutput:
  ```
  'train_loss': 0.105500
  ```
  
  ## Evalution Output:
  ```
   'eval_accuracy_thresh': 0.962023913860321,
   'eval_loss': 0.11090277135372162,
  ```
  
  ## Colab Notebook:
  [Notebook](https://github.com/bhadreshpsavani/UnderstandingNLP/blob/master/go_emotion_of_transformers_multilabel_text_classification_v2.ipynb)