Unverified50% confidenceBenchmarkExact time
From epoch 160 to epoch 290, the MSE loss decreased from 0.0690 to 0.0652, a drop of only approximately 0.006 over 130 epochs.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
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UnverifiedHyperSAE将MSE重建误差从4.57降至4.12（下降9.8%），交叉熵恢复率从75.5%提升至78.9%66% similarUnverifiedThroughout the entire training process, the flow-matching loss only slowly decreased from 0.805 to 0.754.63% similarUnverifiedDuring the course's training process, the loss value decreases from approximately 3.36 to around 0.3263% similarUnverifiedAt epoch 290, the loss rebounded (+0.002), indicating that the model may have approached the performance ceiling of its current configuration.61% similarUnverified代码执行方案将相同任务的token消耗从15万降至2000，减少了98.7%60% similar
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