readme: ---
  language: en
  license: unlicense  # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
  library_name: pytorch  # Optional. Example: keras or any library from https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Libraries.ts
  tags:
  - onxx  # Example: audio
  - ner  # Example: automatic-speech-recognition
  - nlp  # Example: speech
  - pytorch  # Example to specify a library: allennlp
  - token-classification  # Example to specify a library: allennlp
  datasets:
  - conll2003  # Example: common_voice. Use dataset id from https://hf.co/datasets
  metrics:
  - evaluate-metric/accuracy  # Example: wer. Use metric id from https://hf.co/metrics
  widget:
  - text: "Jens Peter Hansen kommer fra Danmark"
  # Optional. Add this if you want to encode your eval results in a structured way.
  model-index:
  - name: quantized_distilbert_conll2003_static
    results:
    - task:
        type: token-classification             # Required. Example: automatic-speech-recognition
        name: NER             # Optional. Example: Speech Recognition
      dataset:
        type: conll2003          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
        name: CONLL 2003          # Required. A pretty name for the dataset. Example: Common Voice (French)
      metrics:
        - type: evaluate-metric/accuracy         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0.9839570110198201       # Required. Example: 20.90
        - type: evaluate-metric/recall         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0.9180410636149444       # Required. Example: 20.90
        - type: evaluate-metric/f1         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0.9053190606588665       # Required. Example: 20.90
        - type: evaluate-metric/precision         # Required. Example: wer. Use metric id from https://hf.co/metrics
          value: 0.8929448354886234       # Required. Example: 20.90
  ---
  
  | Feature | Description |
  | --- | --- |
  | **Name** | `quantized_distilbert_conll2003_static` |
  | **Version** | `0.0.0` |
  
  ### Label Scheme
  
  <details>
  
  <summary>View label scheme (4 labels for 1 components)</summary>
  
  | Component | Labels |
  | --- | --- |
  | **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
  
  </details>
  
  ### Accuracy
  
  | Type | Score |
  | --- | --- |
  | `accuracy` | 98.39 |
  | `f1` | 90.53 |
  | `precision` | 89.29 |
  | `recall` | 91.80 |