RegMix: Data Mixture as Regression for Language Model Pre-training
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Qian Liu
SivilTaram
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Still following your human intuition to mix corpora from different sources for pre-training 🧠? Everyone says that data mixture has a big impact on model performance, but how - and why🕵️? Did you know that web corpora are actually highly impactful for downstream tasks 🏆?
Check out our preprint "RegMix: Data Mixture as Regression for Language Model Pre-training" 📄
🔬 In this paper, we've proposed an automatic data mixture method RegMix that achieves a 6.3% improvement over human selection on the widely used HellaSwag benchmark - and it only needs a 2% extra training FLOPs! 📈
📄 Paper: RegMix: Data Mixture as Regression for Language Model Pre-training (2407.01492)
💻 Code: https://github.com/sail-sg/regmix
📊 Collection: sail/regmix-data-mixture-as-regression-6682b6caab37b9442877f0ce
🎮 Demo: https://huggingface.co/spaces/sail/RegMix
Check out our preprint "RegMix: Data Mixture as Regression for Language Model Pre-training" 📄
🔬 In this paper, we've proposed an automatic data mixture method RegMix that achieves a 6.3% improvement over human selection on the widely used HellaSwag benchmark - and it only needs a 2% extra training FLOPs! 📈
📄 Paper: RegMix: Data Mixture as Regression for Language Model Pre-training (2407.01492)
💻 Code: https://github.com/sail-sg/regmix
📊 Collection: sail/regmix-data-mixture-as-regression-6682b6caab37b9442877f0ce
🎮 Demo: https://huggingface.co/spaces/sail/RegMix
Post
2346
Introducing Sailor-14B Model and Sailor2 Project 🚢
We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!
✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.
✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.
🏠Home: https://sailorllm.github.io
🤗Model: sail/Sailor-14B-Chat
💻Demo: sail/Sailor-14B-Chat
We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨
🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.
🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.
🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.
🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍
Let's sail together and enjoy the journey!⚓
We're thrilled to announce the release of the Sailor-14B models, including the Base and the Chat versions!
✅Built upon the Qwen1.5-14B model, the Base version follows a similar procedure as our Sailor-7B model.
✅The Chat version is optimized using DPO on our in-house human preference dataset, yielding a better experience than our previous Chat models.
🏠Home: https://sailorllm.github.io
🤗Model: sail/Sailor-14B-Chat
💻Demo: sail/Sailor-14B-Chat
We're also excited to introduce the Sailor2 project, ✨ an open collaboration opportunity for the entire community! ✨
🌐 The Sailor2 project aims to build a LLM with ~30B parameters, optimized for multiple South-East Asian languages, including Cebuano, Indonesian, Khmer, Lao, Minangkabau, Malay, Burmese, Sundanese, Javanese, Thai, and Vietnamese.
🎯The model will undergo continual pre-training from a base model proficient in both Chinese and English using nearly 800B SEA tokens, with an expected performance comparable to the most advanced business models for the above SEA languages.
🤝 Contribute your data, expertise, and ideas to shape the future of open-source LLMs for the SEA region.
🌍 Everyone passionate about the SEA region is welcome aboard! Join the party and get involved by scanning the QR code! 🔍
Let's sail together and enjoy the journey!⚓
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11
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SivilTaram/tapex-t5-small-lm-adapt
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6
SivilTaram/tapex-t5-large-lm-adapt
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11
SivilTaram/tapex-t5-xl-lm-adapt
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6
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SivilTaram/poet-sql-finetuned-hotpotqa
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SivilTaram/poet-sql-roberta
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SivilTaram/poet-sql-digit-finetuned-drop
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