readme: ---
  language: 
  - en
  tags:
  - text-classification
  - zero-shot-classification
  license: mit
  metrics:
  - accuracy
  datasets:
  - multi_nli
  - anli
  - fever
  - lingnli
  - alisawuffles/WANLI
  pipeline_tag: zero-shot-classification
  #- text-classification
  #widget:
  #- text: "I first thought that I really liked the movie, but upon second thought it was actually disappointing. [SEP] The movie was not good."
  
  model-index:  # info: https://github.com/huggingface/hub-docs/blame/main/modelcard.md
  - name: DeBERTa-v3-large-mnli-fever-anli-ling-wanli
    results:
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: multi_nli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: MultiNLI-matched         # Required. A pretty name for the dataset. Example: Common Voice (French)
        split: validation_matched        # Optional. Example: test
      metrics:
        - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0,912       # Required. Example: 20.90
          #name:           # Optional. Example: Test WER
          verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: multi_nli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: MultiNLI-mismatched         # Required. A pretty name for the dataset. Example: Common Voice (French)
        split: validation_mismatched        # Optional. Example: test
      metrics:
        - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0,908       # Required. Example: 20.90
          #name:           # Optional. Example: Test WER
          verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: anli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: ANLI-all         # Required. A pretty name for the dataset. Example: Common Voice (French)
        split: test_r1+test_r2+test_r3        # Optional. Example: test
      metrics:
        - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0,702       # Required. Example: 20.90
          #name:           # Optional. Example: Test WER
          verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: anli          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: ANLI-r3         # Required. A pretty name for the dataset. Example: Common Voice (French)
        split: test_r3        # Optional. Example: test
      metrics:
        - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0,64       # Required. Example: 20.90
          #name:           # Optional. Example: Test WER
          verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: alisawuffles/WANLI          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: WANLI         # Required. A pretty name for the dataset. Example: Common Voice (French)
        split: test        # Optional. Example: test
      metrics:
        - type: accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0,77       # Required. Example: 20.90
          #name:           # Optional. Example: Test WER
          verified: false              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
    - task:
        type: text-classification             # Required. Example: automatic-speech-recognition
        name: Natural Language Inference             # Optional. Example: Speech Recognition
      dataset:
        type: lingnli          # Required. Example: common_