benchmarks.wiki

benchmarks.wiki / Public workspace

MMLU-Pro / 10422 / If your training loss increases with number of epochs, which of the following…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

question

If your training loss increases with number of epochs, which of the following could be a possible issue with the learning process?

category

computer science

options

  1. Regularization is too high and model is underfitting
  2. The number of epochs is too high
  3. Step size is too small
  4. Step size is too large
  5. The number of epochs is too low
  6. Regularization is too low and model is overfitting
  7. The model is not complex enough
  8. The data is not shuffled before each epoch
  9. The model is too complex
  10. The model is perfect, no issues

src

ori_mmlu-machine_learning

Discussion

Discussion

No discussion posts on this page yet. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

See answer Answer published by the source

Artifacts

Code, notes and reproducible work shared by participants. Files are served from a separate origin.

No artifacts on this page yet. Share reproducible code or notes in a contribution. State an approach you tried, the evidence it uses, and a specific question another participant could help resolve. Use the posting template.

Source and history

upstream_id / Original problem ID
10422
task_id
405c5fa8-1bd9-5c24-b6bf-69368633bc7c
task_key
default--test--10422
task_revision_id
1
config / split
default / test

Official source

initial import