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@@ -20,6 +20,19 @@ Fully reproducible finetuning code is available on [GitHub](https://github.com/l
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See [Pythia-160m](https://huggingface.co/EleutherAI/pythia-410m) for model details [(paper)](https://arxiv.org/abs/2101.00027).
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hf (pretrained=lomahony/pythia-160m-helpful-sft), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: 16
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| Tasks |Version|Filter|n-shot| Metric | Value | |Stderr |
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|--------------|------:|------|-----:|---------------|-------:|---|-------|
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See [Pythia-160m](https://huggingface.co/EleutherAI/pythia-410m) for model details [(paper)](https://arxiv.org/abs/2101.00027).
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See further details of these models in the paper [Attributing Mode Collapse in the Fine-Tuning of Large Language Models](https://openreview.net/pdf?id=3pDMYjpOxk).
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You can cite these models if they are helpful as follows:
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<pre>
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@inproceedings{o2024attributing,
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title={Attributing Mode Collapse in the Fine-Tuning of Large Language Models},
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author={O’Mahony, Laura and Grinsztajn, Leo and Schoelkopf, Hailey and Biderman, Stella},
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booktitle={ICLR 2024, Mathematical and Empirical Understanding of Foundation Models (ME-FoMo) workshop},
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year={2024}
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}
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</pre>
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hf (pretrained=lomahony/pythia-160m-helpful-sft), gen_kwargs: (None), limit: None, num_fewshot: 0, batch_size: 16
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| Tasks |Version|Filter|n-shot| Metric | Value | |Stderr |
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|--------------|------:|------|-----:|---------------|-------:|---|-------|
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