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[QA] Adam-mini: Use Fewer Learning Rates To Gain More
Manage episode 425510944 series 3524393
Adam-mini optimizer reduces memory footprint by using average learning rates within parameter blocks, achieving performance comparable to AdamW with significantly less memory.
https://arxiv.org/abs//2406.16793
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1356 episodes
Manage episode 425510944 series 3524393
Adam-mini optimizer reduces memory footprint by using average learning rates within parameter blocks, achieving performance comparable to AdamW with significantly less memory.
https://arxiv.org/abs//2406.16793
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support
1356 episodes
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