Fine-Tuning Pretrained Models:

 Fine-Tuning Pretrained Models: A Brief Summary

Fine-tuning pretrained models involves:

• Initial Model: Commence with a pre-trained model.
• Task Specification: Clearly define your intended task.
• Data Incorporation: Gather relevant task-specific data.
• Layer Modifications: Adapt model layers as necessary.
• Limited Retraining: Conduct concise training on new data.
• Evaluation & Refinement: Assess outcomes and iterate.

Refining pretrained models aligns them precisely with your objectives.