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  license: mit
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  ---
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- <span style="color:blue">**Note: please check [DeepKPG](https://github.com/uclanlp/DeepKPG#scibart) for using this model in huggingface, including setting up the newly trained tokenizer.**</span>.
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  Paper: [Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study](https://arxiv.org/abs/2212.10233)
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  Pre-training Corpus: [S2ORC (titles and abstracts)](https://github.com/allenai/s2orc)
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  Pre-training Details:
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- - **Pre-trained from scratch with science vocabulary**
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  - Batch size: 2048
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  - Total steps: 250k
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  - Learning rate: 3e-4
 
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  license: mit
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+ <span style="color:blue">**Note: please check [DeepKPG](https://github.com/uclanlp/DeepKPG#scibart) for using this model in huggingface, including setting up the newly trained tokenizer.**</span>
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  Paper: [Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study](https://arxiv.org/abs/2212.10233)
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  Pre-training Corpus: [S2ORC (titles and abstracts)](https://github.com/allenai/s2orc)
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  Pre-training Details:
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+ - Pre-trained **from scratch** with a science vocabulary
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  - Batch size: 2048
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  - Total steps: 250k
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  - Learning rate: 3e-4