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anton-lΒ 
posted an update 3 days ago
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1837
Introducing πŸ“π…π’π§πžπŒπšπ­π‘: the best public math pre-training dataset with 50B+ tokens!
HuggingFaceTB/finemath

Math remains challenging for LLMs and by training on FineMath we see considerable gains over other math datasets, especially on GSM8K and MATH.

We build the dataset by:
πŸ› οΈ carefully extracting math data from Common Crawl;
πŸ”Ž iteratively filtering and recalling high quality math pages using a classifier trained on synthetic annotations to identify math reasoning and deduction.

We conducted a series of ablations comparing the performance of Llama-3.2-3B-Base after continued pre-training on FineMath and observe notable gains compared to the baseline model and other public math datasets.

We hope this helps advance the performance of LLMs on math and reasoning! πŸš€
We’re also releasing all the ablation models as well as the evaluation code.

HuggingFaceTB/finemath-6763fb8f71b6439b653482c2
loubnabnlΒ 
posted an update 28 days ago
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1605
Making SmolLM2 reproducible: open-sourcing our training & evaluation toolkit πŸ› οΈ https://github.com/huggingface/smollm/

- Pre-training code with nanotron
- Evaluation suite with lighteval
- Synthetic data generation using distilabel (powers our new SFT dataset HuggingFaceTB/smoltalk)
- Post-training scripts with TRL & the alignment handbook
- On-device tools with llama.cpp for summarization, rewriting & agents

Apache 2.0 licensed. V2 pre-training data mix coming soon!

Which other tools should we add next?
lvwerraΒ 
updated a Space 7 months ago
loubnabnlΒ 
posted an update 7 months ago
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5302
🍷 FineWeb technical report is out and so is πŸ“š FineWeb-Edu, a 1.3 trillion tokens dataset that outperforms all other open web datasets, with remarkable improvements on educational benchmarksΒ such as MMLU, ARC, and OpenBookQA.

Technical report: HuggingFaceFW/blogpost-fineweb-v1
Dataset: HuggingFaceFW/fineweb-edu

We used Llama 3 generations to train an educational quality classifier, filtering the 15 trillion tokens of FineWeb to select only those with high educational value (an approach also used in Llama 3 and Phi-3 training datasets). We're releasing both FineWeb-Edu and the classifier, along with a larger, less heavily filtered version containing 5.4 trillion tokens.

You can find more details about the dataset and the experiments we ran in the FineWeb technical report, It's a 45-minute read but it contains all the secret sauce for building high quality web datasets.

Enjoy!
loubnabnlΒ 
posted an update 9 months ago
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6401
We've just published a detailed blog post on the creation of Cosmopedia dataset. We hope this will provide insights about generating synthetic data at scale for pre-training.
https://huggingface.co/blog/cosmopedia

Here are some key takeaways:
🎯 Prompt curation is crucial: we want to cover many topics with few duplicates.
πŸ“š You can leverage various resources for diversity: using different seed data, generation formats, and target audiences.
βš™οΈ The importance of a good technical stack: for scalable generations with tools like llm-swarm and fast model training and evaluation.

Have a good read!
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loubnabnlΒ 
posted an update 10 months ago
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⭐ Today we’re releasing The Stack v2 & StarCoder2: a series of 3B, 7B & 15B code generation models trained on 3.3 to 4.5 trillion tokens of code:

- StarCoder2-15B matches or outperforms CodeLlama 34B, and approaches DeepSeek-33B on multiple benchmarks.
- StarCoder2-3B outperforms StarCoderBase-15B and similar sized models.
- The Stack v2 a 4x larger dataset than the Stack v1, resulting in 900B unique code tokens πŸš€
As always, we released everything from models and datasets to curation code. Enjoy!

πŸ”— StarCoder2 collection: bigcode/starcoder2-65de6da6e87db3383572be1a
πŸ”— Paper: https://drive.google.com/file/d/17iGn3c-sYNiLyRSY-A85QOzgzGnGiVI3/view
πŸ”— BlogPost: https://huggingface.co/blog/starcoder2
πŸ”— Code Leaderboard: bigcode/bigcode-models-leaderboard