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This PR introduces the following updates and contributions:
1. Content Distillation:
• Implemented content distillation pipeline to preprocess and refine data for model training and evaluation.
• Ensures optimal data quality and relevance for both OPT-125M and OPT-350M models.
2. Model Evaluation:
• Conducted comprehensive evaluation of OPT-125M and OPT-350M.
• Included performance metrics such as accuracy, loss, and other task-specific evaluation measures.
• Benchmarked results to assess differences in performance between the two models.
3. Code Changes:
• Added scripts for content distillation and evaluation.
• Updated documentation to include instructions for running the pipeline and reproducing results.