Error Analysis in a Fine-Tuning Sample
A data scientist is creating a training sample to fine-tune a model for English-to-German translation. They use the provided template and data pair. Analyze the final 'Generated Sample' below, identify the primary error in how the template variables were populated, and explain why this error would be problematic for training the model as intended.
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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You are preparing data to train a language model for English-to-French translation. You have a template and a specific pair of sentences.
Template: "### Instruction: Translate the following English text to French.
Input:
{∗text∗}
Response:
{∗translation∗}"
Sentence Pair:
- English Text: "The sky is blue."
- French Translation: "Le ciel est bleu."
Which of the following options correctly shows the final data sample after substituting the sentence pair into the template?
Error Analysis in a Fine-Tuning Sample
Constructing a Fine-Tuning Sample