readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - emotion
  metrics:
  - f1
  model-index:
  - name: minilm-finetuned-emotion
    results:
    - task:
        name: Text Classification
        type: text-classification
      dataset:
        name: emotion
        type: emotion
        args: default
      metrics:
      - name: F1
        type: f1
        value: 0.931192
  ---
  
  Based model: [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased)
  
  Dataset: [emotion](https://huggingface.co/datasets/emotion)
  
  These are the results on the evaluation set:
  
  | Attribute          | Value    |
  | ------------------ | -------- |
  | Training Loss      | 0.163100 |
  | Validation Loss    | 0.192153 |
  | F1                 | 0.931192 |
  