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Get Started Free →majiayu000/mind-parameter-modification
Modify cognitive parameters and behavioral settings.
Passed 24 of 25 test cases with the skill, and 24 of 25 without it.
1 fixed23 passed either way0 still failing1 broke
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A test case the skill fixed. Same model, same prompt, with and without the skill.
During LLM post-training with PyTorch and AdamW, loss spikes dramatically during the final epochs. A colleague suggests increasing the initial learning rate from 1e-4 to 1e-3. What parameter modification to the learning rate schedule prevents instability near the end of training?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends applying cosine learning rate decay | Missed | Passed |
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test cases passed, vs 24 / 25 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.