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- urialon/gov_report_validation
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- urialon/gov_report_test
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pipeline_tag: text2text-generation
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Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625)
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This is a BART-base model finetuned using Unlimiformer-aware early stopping, as described in section 3.1 of the paper. The model was finetuned on GovReport using the data processing pipeline from SLED; to load the validation or test set for use with these model, please use the datasets [urialon/gov_report_validation](https://huggingface.co/datasets/urialon/gov_report_validation) and [urialon/gov_report_test](https://huggingface.co/datasets/urialon/gov_report_test).
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This is generally a weaker model than the [alternating-training model](https://huggingface.co/abertsch/unlimiformer-bart-govreport-alternating) and a stronger model than the [baseline](https://huggingface.co/abertsch/bart-base-govreport).
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- urialon/gov_report_validation
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- urialon/gov_report_test
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pipeline_tag: text2text-generation
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inference: false
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---
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Model from the preprint [Unlimiformer: Long-Range Transformers with Unlimited Length Input](https://arxiv.org/abs/2305.01625)
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This is a BART-base model finetuned using Unlimiformer-aware early stopping, as described in section 3.1 of the paper. The model was finetuned on GovReport using the data processing pipeline from SLED; to load the validation or test set for use with these model, please use the datasets [urialon/gov_report_validation](https://huggingface.co/datasets/urialon/gov_report_validation) and [urialon/gov_report_test](https://huggingface.co/datasets/urialon/gov_report_test).
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This is generally a weaker model than the [alternating-training model](https://huggingface.co/abertsch/unlimiformer-bart-govreport-alternating) and a stronger model than the [baseline](https://huggingface.co/abertsch/bart-base-govreport).
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*The inference demo is disabled because you must add the Unlimiformer files to your repo before this model can handle unlimited length input!* See the [Unlimiformer GitHub](https://github.com/abertsch72/unlimiformer) for setup instructions.
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