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README.md
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---
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license: apache-2.0
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datasets:
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- togethercomputer/RedPajama-Data-1T
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language:
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- en
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base_model:
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- KoboldAI/fairseq-dense-125M
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---
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# Data Scorer
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The model to scorer data for data selection in the paper [Data Selection via Optimal Learning for Language Models](https://arxiv.org/abs/2410.07064). To use the model, follow the instructions [here](https://github.com/microsoft/LMOps/tree/main/data_selection#5-use-the-data-scorer-to-score-examples).
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NOTE: you may need to download the [fairseq-125M](https://huggingface.co/KoboldAI/fairseq-dense-125M) to `${PATH_TO_DATA_SELECTION_REPO}/checkpoints/fairseq/125M` to prepare the tokenizer and config.json for the base model
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