Set up the necessary database models and migration scripts to support the classification feature. Specifically, create the following tables:
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fine_tunings: To store metadata related to fine-tuned models (e.g., dataset used, base model, status, job ID).
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model_evaluations: To log evaluation results for fine-tuned models (e.g., accuracy, precision, recall, dataset splits used).
Set up the necessary database models and migration scripts to support the classification feature. Specifically, create the following tables:
fine_tunings: To store metadata related to fine-tuned models (e.g., dataset used, base model, status, job ID).
model_evaluations: To log evaluation results for fine-tuned models (e.g., accuracy, precision, recall, dataset splits used).