Unverified50% confidenceFactExact time
The training configuration uses a batch size of 4, the Adam optimizer, and a learning rate of 2e-4.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAdamW、LAMB等优化器变体专门针对大批量训练和大模型微调进行优化69% similarVerifiedUsing the Adam optimizer with a default learning rate of 1e-3 as a starting point is a robust entry strategy for deep learning.68% similarVerifiedThe Adam optimizer combines two key ideas — momentum and adaptive learning rate — and has become the standard configuration for large model training.66% similarUnverified工程实践中通常将Actor-Learner架构的缓冲区大小设置为Learner单次消费量的5–20倍66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/910710API
curl https://kongchang.com/api/v1/knowledge/claims/910710MCP
get_claim(id=910710)