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Sign in to readCS 639 Assignment 4: Fine-Tuning
Google Colab Setup
Submission
Grading Rubric
Task 1: Baseline Full Fine-Tuning (20%)
1.1 Setup
1.2 Perform Task (5 points) [Code]
1.3 Analysis and Plots (5 points) [Code, Writeup]
1.4 Comparative Study (5 points) [Writeup]
1.5 Possible Reasons Behind Observations (5 points) [Writeup]
Task 2: Hyperparameter Sensitivity Study (20%)
2.1 Setup
2.2 Perform Task (5 points) [Code]
2.3 Analysis and Plots (5 points) [Code, Writeup]
2.4 Comparative Study (5 points) [Writeup]
2.5 Possible Reasons Behind Observations (5 points) [Writeup]
Task 3: Parameter-Efficient Fine-Tuning (PEFT) (20%)
3.1 Setup
3.2 Perform Task (5 points) [Code]
3.3 Analysis and Plots (5 points) [Code, Writeup]
3.4 Comparative Study (5 points) [Writeup]
3.5 Possible Reasons Behind Observations (5 points) [Writeup]
Task 4: Cross-Dataset Generalisation (20%)
4.1 Setup
4.2 Perform Task (5 points) [Code]
4.3 Analysis and Plots (5 points) [Code, Writeup]
4.4 Comparative Study (5 points) [Writeup]
4.5 Possible Reasons Behind Observations (5 points) [Writeup]
Task 5: Data Efficiency Analysis (20%)
5.1 Setup
5.2 Perform Task (5 points) [Code]
5.3 Analysis and Plots (5 points) [Code, Writeup]
5.4 Comparative Study (5 points) [Writeup]
5.5 Possible Reasons Behind Observations (5 points) [Writeup]