Model checkpoints and training data modifications for the paper "Train Once, Answer All: Many Pretraining Experiments for the Cost of One"
Sebastian Bordt PRO
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sbordt/OLMo-2-1B-Exp-Mid50B-No-Experiments
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sbordt/OLMo-2-1B-WD1
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sbordt/OLMo-2-1B-Exp-Mid50B-No-Experiments
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sbordt/OLMo-2-1B-Exp-Mid25B-No-Experiments
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sbordt/OLMo-2-1B-Exp-Mid25B-No-Experiments-SFT
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sbordt/OLMo-2-2.7B-Exp
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sbordt/OLMo-2-1B-Exp-Unlearning-Baseline
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sbordt/OLMo-2-179M-Exp
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sbordt/OLMo-2-546M-Exp
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sbordt/OLMo-2-1B-Exp
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sbordt/OLMo-2-1B-Decayed-Early
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datasets
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sbordt/OLMo-2-1B-Exp-Dataset
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sbordt/forgetting-contamination-winogrande
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sbordt/forgetting-contamination-social_i_qa
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sbordt/forgetting-contamination-piqa
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sbordt/forgetting-contamination-mmlu
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sbordt/forgetting-contamination-boolq
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sbordt/forgetting-contamination-hellaswag
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sbordt/forgetting-contamination-arc-easy
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