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Deep Learning Practice · Quiz 1 · 15 Mar 2026 · January 2026 term

Question 16: When configuring TrainingArguments for a Transformer mod…

Question 16

+3 marksOne or more correct options

When configuring TrainingArguments for a Transformer model, we include a learning rate warmup phase (e.g., warmup_steps=500). Which of the following statements correctly describe the purpose and behavior of this strategy? (Select ALL that apply)

Select all that apply.

  1. A

    It involves linearly increasing the learning rate from 0 (or a small value) to the target maximum during the initial phase.

  2. B

    It helps prevent "divergence'' or instability caused by large gradients when the model weights are far from their optimal state.

  3. C

    It significantly reduces the VRAM (memory) required to store optimizer states.

  4. D

    After the warmup phase, the learning rate typically follows a decay schedule (like linear or cosine) to ensure convergence.

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Correct answers

  • A

    It involves linearly increasing the learning rate from 0 (or a small value) to the target maximum during the initial phase.

  • B

    It helps prevent "divergence'' or instability caused by large gradients when the model weights are far from their optimal state.

  • D

    After the warmup phase, the learning rate typically follows a decay schedule (like linear or cosine) to ensure convergence.

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Question 16 of 19 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 1 paper sat on 15 Mar 2026, in the January 2026 term (Deep Learning Practice 15 Mar 26). It carries 3 marks.

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