Fine tuning pretrained model

 Fine-Tuning a Pretrained Model: Quick Insight

Fine-tuning a pretrained model involves:

  • Existing Model: Begin with a trained model.
  • New Objective: Define your specific task.
  • Dataset Addition: Gather task-specific data.
  • Layer Adjustments: Modify model layers as needed.
  • Limited Retraining: Train briefly with new data.
  • Evaluation & Refinement: Assess performance and iterate.

Fine-tuning adapts pretrained models for your specific needs efficiently.

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