Datasets:
Tasks:
Text Generation
Languages:
English
Size:
10M<n<100M
ArXiv:
Tags:
elastic-models
foundation-models
hyperparameter-transfer
maximal-update-parameterization
pretraining
License:
Card: Checkpoints and Datasets link to the ShellElastic page
Browse files
README.md
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<a href="https://github.com/jincan333/ShellElastic/blob/main/paper/ShellElastic.pdf"><img alt="Paper" src="https://img.shields.io/badge/Paper-PDF-b31b1b?style=for-the-badge"></a>
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<a href="https://jincan333.github.io/ShellElastic_page"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-2f6db5?style=for-the-badge"></a>
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<a href="https://github.com/jincan333/ShellElastic"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&logo=github&logoColor=white"></a>
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<a href="https://huggingface.co/
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<a href="https://huggingface.co/
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</p>
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</div>
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training uses [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) (Li et al., 2024) and validation held-out [C4](https://huggingface.co/datasets/allenai/c4) text (Raffel et al.,
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2020), tokenized with the [GPT-NeoX-20B tokenizer](https://huggingface.co/EleutherAI/gpt-neox-20b) (Black et al., 2022) and packed into sequences of 2,049
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tokens. This repository holds exactly the shards that the runs read, in the layout that the code of the paper reads.
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The final checkpoints of these runs are
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## Contents
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<a href="https://github.com/jincan333/ShellElastic/blob/main/paper/ShellElastic.pdf"><img alt="Paper" src="https://img.shields.io/badge/Paper-PDF-b31b1b?style=for-the-badge"></a>
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<a href="https://jincan333.github.io/ShellElastic_page"><img alt="Project Page" src="https://img.shields.io/badge/Project-Page-2f6db5?style=for-the-badge"></a>
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<a href="https://github.com/jincan333/ShellElastic"><img alt="Code" src="https://img.shields.io/badge/Code-GitHub-181717?style=for-the-badge&logo=github&logoColor=white"></a>
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<a href="https://huggingface.co/spaces/Can111/ShellElastic"><img alt="Checkpoints" src="https://img.shields.io/badge/Checkpoints-Hugging%20Face-ffd21e?style=for-the-badge&logo=huggingface&logoColor=white"></a>
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<a href="https://huggingface.co/spaces/Can111/ShellElastic"><img alt="Datasets" src="https://img.shields.io/badge/Datasets-Hugging%20Face-ffd21e?style=for-the-badge&logo=huggingface&logoColor=white"></a>
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</p>
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</div>
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training uses [DCLM-Baseline](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0) (Li et al., 2024) and validation held-out [C4](https://huggingface.co/datasets/allenai/c4) text (Raffel et al.,
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2020), tokenized with the [GPT-NeoX-20B tokenizer](https://huggingface.co/EleutherAI/gpt-neox-20b) (Black et al., 2022) and packed into sequences of 2,049
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tokens. This repository holds exactly the shards that the runs read, in the layout that the code of the paper reads.
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The final checkpoints of these runs are listed on the [ShellElastic page](https://huggingface.co/spaces/Can111/ShellElastic).
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## Contents
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