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Explain the roles of beta = 1/40 and the dev set in weighting auxiliary data.
Question: In a concise analytical response, explain what beta = 1/40 accomplishes and why the dev set remains relevant when choosing beta.
Sample answer: Beta weights the auxiliary collection of 200,000 internet images in the objective. Setting beta to 1/40 gives that collection the same total weight as the 5,000 mobile images. This value is one specific weighting choice; other beta values can be considered and selected by tuning on the dev set.
Key points:
- Beta weights the auxiliary internet-image data.
- The objective contains 5,000 mobile images and 200,000 internet images.
- Beta = 1/40 gives the two collections equal total weight.
- Other beta values can be selected by tuning on the dev set.
Rubric: A strong response accurately identifies which data beta weights, explains the equal-total-weight effect of beta = 1/40, and states that other beta values may be tuned on the dev set. It must not claim that 1/40 is always the required value.
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