Fine-Tuning Pretrained Models

 Fine-Tuning Pretrained Models: Concise Overview

Fine-tuning pretrained models:

  • Starting Point: Begin with a pre-trained model.
  • Task Definition: Specify your target task.
  • Data Integration: Gather task-related data.
  • Layer Adjustments: Modify model's layers.
  • Limited Retraining: Train on new data briefly.
  • Evaluation & Iteration: Assess and refine results.

Fine-tuning pre-trained models tailors them to your requirements effectively.

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