metadata

license: apache-2.0
datasets:
  - squad
  - adversarial_qa
language:
  - en
metrics:
  - exact_match
  - f1
base_model:
  - albert/albert-base-v2
pipeline_tag: question-answering
model-index:
  - name: distilbert-base-cased-distilled-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad
          type: squad
          config: plain_text
          split: validation
        metrics:
          - type: exact_match
            value: 84.68
            name: Exact Match
            verified: true
          - type: f1
            value: 91.4
            name: F1
            verified: true

albert-base-v2-squad

This model is a fine-tuned version of albert-base-v2 on the SQuAD 1.1 and adversarial_qa datasets. It achieves the following results on the SQuAD 1.1 evaluation set:

Exact Match(EM): 84.68
F1: 91.40