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It's because BLOOM is undertrained, you can prune a lot of weights in BLOOM and it doesn't impact performance. Look at Chinchilla paper[1], 70B model outperform
by lossolo 4y ago
It's because BLOOM is undertrained, you can prune a lot of weights in BLOOM and it doesn't impact performance. Look at Chinchilla paper[1], 70B model outperforms 175B GPT-3 model.
https://arxiv.org/abs/2203.15556 https://arxiv.org/abs/2203.15556
- Der_Einzige 4y agoIn general, most giant LLMs are extremely undertrained at this time. Consider that most of the gains in RoBerta vs bert were from just continuing to train.
- stevenhuang 4y agoCases of undertraining can be observed whenever the output is repeating gibberish or loops. Happened a lot in GPT2 ai dungeon days
- leobg 4y agoSo can we continue training RoBERTa to get it to, say, GPT3 Ada level