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Question on MixtralMOE SFT Loss #3085
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hiyouga
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Apr 2, 2024
We set the coefficient of auxiliary router loss to 0.2 by default, you can change it by specifying |
tybalex
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Apr 10, 2024
* fix packages * Update wechat.jpg * Updated README with new information * Updated README with new information * Updated README with new information * Follow HF_ENDPOINT environment variable * fix hiyouga#2346 * fix hiyouga#2777 hiyouga#2895 * add orca_dpo_pairs dataset * support fsdp + qlora * update readme * update tool extractor * paper release * add citation * move file * Update README.md, fix the release date of the paper * Update README_zh.md, fix the release date of the paper * Update wechat.jpg * fix hiyouga#2941 * fix hiyouga#2928 * fix hiyouga#2936 * fix Llama lora merge crash * fix Llama lora merge crash * fix Llama lora merge crash * pass ruff check * tiny fix * Update requirements.txt * Update README_zh.md * release v0.6.0 * add arg check * Update README_zh.md * Update README.md * update readme * tiny fix * release v0.6.0 (real) * Update wechat.jpg * fix hiyouga#2961 * fix bug * fix hiyouga#2981 * fix ds optimizer * update trainers * fix hiyouga#3010 * update readme * fix hiyouga#2982 * add project * update readme * release v0.6.1 * Update wechat.jpg * fix pile datset hf hub url * upgrade gradio to 4.21.0 * support save args in webui hiyouga#2807 hiyouga#3046 some ideas are borrowed from @marko1616 * Fix Llama model save for full param train * fix blank line contains whitespace * tiny fix * support ORPO * support orpo in webui * update readme * use log1p in orpo loss huggingface/trl#1491 * fix plots * fix IPO and ORPO loss * fix ORPO loss * update webui * support infer 4bit model on GPUs hiyouga#3023 * fix hiyouga#3077 * add qwen1.5 moe * fix hiyouga#3083 * set dev version * Update SECURITY.md * fix hiyouga#3022 * add moe aux loss control hiyouga#3085 * simplify readme * update readme * update readme * update examples * update examples * add zh readme * update examples * update readme * update vllm example * Update wechat.jpg * fix hiyouga#3116 * fix resize vocab at inference hiyouga#3022 * fix requires for windows * fix bug in latest gradio * back to gradio 4.21 and fix chat * tiny fix * update examples * update readme * support Qwen1.5-32B * support Qwen1.5-32B * fix spell error * support hiyouga#3152 * rename template to breeze * rename template to breeze * add empty line * Update wechat.jpg * tiny fix * fix quant infer and qwen2moe * Pass additional_target to unsloth Fixes hiyouga#3200 * Update adapter.py * Update adapter.py * fix hiyouga#3225 --------- Co-authored-by: hiyouga <[email protected]> Co-authored-by: 刘一博 <[email protected]> Co-authored-by: khazic <[email protected]> Co-authored-by: SirlyDreamer <[email protected]> Co-authored-by: Sanjay Nadhavajhala <[email protected]> Co-authored-by: sanjay920 <[email protected]> Co-authored-by: 0xez <[email protected]> Co-authored-by: marko1616 <[email protected]> Co-authored-by: Remek Kinas <[email protected]> Co-authored-by: Tsumugii24 <[email protected]> Co-authored-by: li.yunhao <[email protected]> Co-authored-by: sliderSun <[email protected]> Co-authored-by: codingma <[email protected]> Co-authored-by: Erich Schubert <[email protected]>
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For the Mixtral MOE finetuning, I wonder whether it use some router balancing loss or use next token prediction loss only? Thanks.
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