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Deep Learning Practice · Quiz 2 · 16 Mar 2025 · January 2025 term

Question 19: Below is a snippet for fine-tuning SpeechT5 for Text-to-…

Question 19

+2 marksOne or more correct options

Below is a snippet for fine-tuning SpeechT5 for Text-to-Speech (TTS):

python
from transformers import SpeechT5Processor, SpeechT5ForTextToSpeech, Trainer, TrainingArguments


processor = SpeechT5Processor.from_pretrained("microsoft/speecht5_tts")
model = SpeechT5ForTextToSpeech.from_pretrained("microsoft/speecht5_tts")


training_args = TrainingArguments(
    output_dir="./speechT5-finetuned",
    per_device_train_batch_size=8,
    gradient_accumulation_steps=2,
    learning_rate=3e-5,
    num_train_epochs=3,
    save_strategy="epoch"
)

Based on the above data, answer the given subquestions.

Which of the following statements are true about the fine-tuning process?

Select all that apply.

  1. A
  2. B
  3. C
  4. D
Show answer

Correct answers

  • A
  • D
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Question 19 of 19 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) Quiz 2 paper sat on 16 Mar 2025, in the January 2025 term (IIT M DEGREE AN EXAM QDB2 16 Mar 2025). It carries 2 marks.

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