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fsdp_evaluate_before_train
infrastructure-fsdp-evaluate-before-calling-trainer-evaluate-before-any-call-to-traine-ef5de01e
IFCalling trainer.evaluate() before any call to trainer.train() when using FSDP2 with Hugging Face Trainer raises ValueError: 'When using FSDP2, a model and optimizer must be passed together to Accelerator.prepare()'.
THENEnsure trainer.train() is called at least once before evaluate. A practical workaround is to set num_train_epochs=0 temporarily and call train(), or subclass Trainer and in __init__ call self.accelerator.prepare(self.model, optimizer) with a dummy optimizer (e.g., torch.optim.SGD(model.parameters(), lr=0)). This satisfies FSDP2's requirement that model and optimizer are prepared together even when only evaluation is needed.
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