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Bergson Smollm2 Lds 4k

Leave-k-out model bank for an EK-FAC linear-datamodeling-score (LDS) study of how attribution quality scales with training-set size N (this repo: N=4k 512-token chunks). GPT-2 fine-tuned on the 4k subset of...

Sourcehuggingface.co/EleutherAI/bergson-smollm2-lds-4k/tree/aa9eb3f65594151989011cd689520ff437eb46cf
KindOtherBase modelopenai-community/gpt2VersionRevision aa9eb3fUnratedgrade

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Kind
Other
File size
475 MB
Base model
openai-community/gpt2
Version
vRevision aa9eb3f
Updated
Nov 4, 2026
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Source
Hugging Face

Source description

EleutherAI/bergson-smollm2-lds-4k

Leave-k-out model bank for an EK-FAC linear-datamodeling-score (LDS) study of how attribution quality scales with training-set size N (this repo: N=4k 512-token chunks). GPT-2 fine-tuned on the 4k subset of EleutherAI/bergson-smollm2-lds-chunks (packed from EleutherAI/SmolLM2-135M-10B).

  • base/: GPT-2 fine-tuned on the full N-chunk training set (no leave-out).
  • subset_0/ ... subset_99/: each retrains from scratch with a random 1%% of the training chunks held out, forming the LDS leave-k-out bank.

Queries: the query config of the dataset repo (50 held-out chunks).

Sources

1 source
Hugging FacePrimaryVersion aa9eb3f65594151989011cd689520ff437eb46cf
huggingface.co/EleutherAI/bergson-smollm2-lds-4k/tree/aa9eb3f65594151989011cd689520ff437eb46cf

Verified Oct 2

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Model artifacts

64 artifacts

base/model.safetensors

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Source excerpts

2 excerpts
ReadmeJul 17huggingface.co/EleutherAI/bergson-smollm2-lds-4k

--- datasets: - EleutherAI/bergson-smollm2-lds-chunks base_model: - gpt2 tags: - influence-functions - linear-datamodeling-score - ekfac --- # EleutherAI/bergson-smollm2-lds-4k Leave-k-out model bank for an EK-FAC linear-datamodeling-score (LDS) study of how attribution quality scales with training-set size N (this repo: N=4k 512-token chunks). GPT-2 fine-tuned on the `4k` subset of [`EleutherAI/bergson-smollm2-lds-chunks`](https://huggingface.co/datasets/EleutherAI/bergson-smollm2-lds-chunks) (packed from `EleutherAI/SmolLM2-135M-10B`). - `base/`: GPT-2 fine-tuned on the full N-chunk training set (no leave-out). - `subset_0/` … `subset_99/`: each retrains from scratch with a random 1%% of the training chunks held out, forming the LDS leave-k-out bank. Queries: the `query` config of the dataset repo (50 held-out chunks).

NoteJul 17huggingface.co/EleutherAI/bergson-smollm2-lds-4k

Source context: 0 downloads · 0 likes · Repo EleutherAI/bergson-smollm2-lds-4k