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Question 188 MCQ · 0.0 marks
General Note:
• If you find the given information is insufficient in any of the Numerical Answer Type (NAT)
questions, enter -1 as the answer.
• In all your calculations, take at least two digits. For example, if the intermediate result is
1.860875, then take it as 1.86 to the next step.
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Instructions has been mentioned above.
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This Instructions is just for a reference & not for an evaluation.
A published solution is not available for this question yet.
Consider fine-tuning the T5 model on a sentiment classification task. The T5 model was pre-
trained using the C4 dataset. Suppose, in the original dataset, the positive samples are denoted by
integer 1 and the negative samples are denoted by integer 0. Choose the necessary modifications
that one needs to perform to use the T5 model for fine-tuning:
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Map the label 0 to “negative” and 1 to “positive” in the dataset
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Map the label 0 to “0” and 1 to “1” in the dataset
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Update the vocabulary of T5 with the modified labels
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Add at least one linear layer on top of the decoder for final classification
A published solution is not available for this question yet.
Suppose we use a pre-trained model for text generation with the given prompt “I am going to”.
Which of the following decoding strategies can be used such that the pre-trained model generates
different text completion each time it is executed
What is the order of the language modeling pipeline?
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First, the model, which handles text and returns raw predictions. The tokenizer
then makes sense of these predictions and converts them back to text when needed.
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First, the tokenizer, which handles text and returns IDs. The model handles
these IDs and outputs a prediction, which can be some text.
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The tokenizer handles text and returns IDs. The model handles these IDs and
outputs a prediction. The tokenizer can then be used once again to convert these predictions back
to some text.
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None of these
A published solution is not available for this question yet.
Consider following statment and mark true or false:
Repeating examples in the pre-training datasets are completely harmless for downstream
performance.
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TRUE
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FALSE
A published solution is not available for this question yet.
Which pair will be merged the very first merge? Say the pair is (‘a’,‘b’), then enter **“ab”** (without
quotes and white spaces). If there is a tie between two or more candidates, enter the one that
occurs first in the original vocabulary.
**NOTE:** Enter the exact answer without any space in the beginning or at the end.
A published solution is not available for this question yet.
