How can I fine-tune a pruned model?
An example of an AI chatbot conversation about fine-tuning a pruned model in machine learning.
What does it mean to fine-tune a pruned model?
Fine-tuning a pruned model involves adjusting its parameters to improve performance after reducing its size.
Why would I want to prune a model before fine-tuning?
Pruning reduces the model's complexity, making it faster and more efficient while retaining essential features.
What are the steps to fine-tune a pruned model?
The steps typically include selecting a dataset, adjusting hyperparameters, and training the model on the new data.
Can I use any dataset for fine-tuning?
You should use a dataset that is relevant to the task you want the model to perform better on.
What tools can I use for this process?
Popular tools include TensorFlow, PyTorch, and Hugging Face's Transformers library.
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