INNER CODE UNIT · Python

configure_optimizers

Adibvafa/CodonTransformer · finetune.py:81

    def configure_optimizers(self):
        optimizer = torch.optim.AdamW(
            self.model.parameters(),
            lr=self.learning_rate,
        )
        lr_scheduler = {
            "scheduler": torch.optim.lr_scheduler.OneCycleLR(
                optimizer,
                max_lr=self.learning_rate,
                total_steps=self.trainer.estimated_stepping_batches,
                pct_start=self.warmup_fraction,
            ),
            "interval": "step",
            "frequency": 1,
        }
        return [optimizer], [lr_scheduler]

    def training_step(self, batch, batch_idx):

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