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--- |
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license: apache-2.0 |
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datasets: |
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- squad |
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- adversarial_qa |
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language: |
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- en |
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metrics: |
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- exact_match |
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- f1 |
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base_model: |
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- albert/albert-base-v2 |
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pipeline_tag: question-answering |
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model-index: |
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- name: distilbert-base-cased-distilled-squad |
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results: |
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- task: |
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type: question-answering |
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name: Question Answering |
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dataset: |
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name: squad |
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type: squad |
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config: plain_text |
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split: validation |
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metrics: |
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- type: exact_match |
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value: 84.68 |
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name: Exact Match |
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verified: true |
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- type: f1 |
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value: 91.40 |
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name: F1 |
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verified: true |
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--- |
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# albert-base-v2-squad |
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert/albert-base-v2) on the SQuAD 1.1 and adversarial_qa datasets. |
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It achieves the following results on the SQuAD 1.1 evaluation set: |
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- Exact Match(EM): 84.68 |
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- F1: 91.40 |
