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license: cc-by-4.0 |
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# GenRead: FiD model trained on WebQ |
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-- This is the model checkpoint of GenRead [2], based on the T5-3B and trained on the WebQ dataset [1]. |
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-- Hyperparameters: 8 x 80GB A100 GPUs; batch size 16; AdamW; LR 5e-5; best dev at 11500 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] Generate rather than Retrieve: Large Language Models are Strong Context Generators. arXiv 2022 |
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## Model performance |
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We evaluate it on the WebQ dataset, the EM score is 54.36. |
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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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license: cc-by-4.0 |
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license: cc-by-4.0 |
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