def METHOD_NAME(self):
    self.learner.model.clean_state()
    self.learner.load(self.temp_dir / "weights" / f"x3d_{_BACKBONE}.pyth")
    results = self.learner.eval(self.test_ds, steps=2)
    assert results["accuracy"] > 0.5
    assert results["loss"] < 20