readme: ---
  model-index:
  - name: Temporary Evaluation Model
    results:
    - task:
        type: automatic-speech-recognition
      dataset:
        type: common_voice
        name: Common Voice (French)
      metrics:
      - name: WER
        type: wer
        value: 2.5
    - task:
        type: image-classification
      dataset:
        type: glue
        name: dataset_name
      metrics:
      - type: nima5
        value: 1.0
    - task:
        type: image-classification
        name: task_name
      dataset:
        type: glue
        name: dataset_name
        config: fr
        split: test
        revision: abc
        args:
          a: 1
          b: 2
      metrics:
      - type: nima5
        value: 1.0
        name: Nima Metric 2
        config: nima_config
        args:
          c: 1
          d: 2
    - task:
        type: image-classification
        name: task_name
      dataset:
        type: glue
        name: datasasdet_name
        config: fr
        split: test
        revision: abc
        args:
          a: 1
          b: 2
      metrics:
      - type: nima5
        value: 1.0
        name: Nima Metric 2
        config: nima_confadig
        args:
          c: 1
          d: 2
  metrics:
  - leap
  ---
  
  Hello world
  