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license: cc-by-4.0 |
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# FiD model trained on NQ |
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-- This is the model checkpoint of FiD [2], based on the T5 large (with 770M parameters) and trained on the natural question (NQ) dataset [1]. |
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-- Hyperparameters: 8 x 40GB A100 GPUs; batch size 8; AdamW; LR 3e-5; 50000 steps |
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References: |
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[1] Natural Questions: A Benchmark for Question Answering Research. TACL 2019. |
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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 NQ dataset, the EM score is 51.3 (0.1 lower than original performance reported in the paper). |
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<a href="https://huggingface.co/exbert/?model=bert-base-uncased"> |
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
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</a> |
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