Evaluating the performance of your fine-tuned adapters
After fine-tuning your model, it’s crucial to evaluate its performance to ensure it meets your requirements and to identify areas for improvement. Predibase provides several tools and methods for evaluating your fine-tuned adapters.
The following notebooks provide examples for evaluating models for either binary classification tasks or generation tasks using the Predibase API.Native support for offline (batch) evaluation is coming soon.