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fsdp2_eval_before_train
infrastructure-fsdp2-eval-before-tr-calling-trainer-evaluate-before-trainer-train-with-91a88892
IFCalling trainer.evaluate() before trainer.train() with FSDP2 enabled raises `ValueError: When using FSDP2, a model and optimizer must be passed together to Accelerator.prepare()`.
THENUse a workaround: either temporarily set `trainer.args.num_train_epochs = 0` and call `trainer.train()` first, or subclass `Trainer` and in `__init__` call `self.accelerator.prepare(self.model, dummy_optimizer)` with a placeholder optimizer (e.g., `torch.optim.SGD(self.model.parameters(), lr=0.0)`). This avoids the requirement that an optimizer must be paired with the model when using FSDP2.
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