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| | license: cc-by-4.0 |
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| | # FiD model trained on WebQ |
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| | -- This is the model checkpoint of FiD [2], based on the T5 large (with 770M parameters) and trained on the WebQ dataset [1]. |
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| | -- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 30000 steps |
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| | References: |
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| | [1] Semantic parsing on freebase from question-answer pairs. EMNLP 2013. |
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| | [2] Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021. |
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| | ## Model performance |
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| | We evaluate it on the WebQ dataset, the EM score is 50.2 on the test set. |
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| | <a href="https://huggingface.co/exbert/?model=bert-base-uncased"> |
| | <img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
| | </a> |
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