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What are the key steps involved in fine-tuning language models?
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Answer / Sanjeev Kumar Suman
Fine-tuning language models involves several crucial steps: (1) choosing a pre-trained model as a starting point, (2) preparing a dataset tailored to the specific task at hand, (3) defining appropriate training and validation splits, (4) selecting learning rate and other hyperparameters, (5) setting up the training loop, (6) monitoring the progress of the fine-tuning process, and (7) evaluating the model's performance on a test dataset.
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