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DG: Add early stopping support to LightningModel #178

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Merged
avantikalal merged 1 commit into from
Mar 3, 2026
Merged

DG: Add early stopping support to LightningModel #178

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16 changes: 15 additions & 1 deletion src/grelu/lightning/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
import pytorch_lightning as pl
import torch
from einops import rearrange
from pytorch_lightning.callbacks import ModelCheckpoint
from pytorch_lightning.callbacks import EarlyStopping, ModelCheckpoint
from pytorch_lightning.loggers import CSVLogger, WandbLogger
from torch import Tensor, nn, optim
from torch.utils.data import DataLoader
Expand Down Expand Up @@ -57,6 +57,10 @@
"class_weights": None,
"total_weight": None,
"accumulate_grad_batches": 1,
"early_stopping": False,
"patience": 5,
"monitor": "val_loss",
"mode": "min",
}


Expand Down Expand Up @@ -545,6 +549,16 @@ def train_on_dataset(
else:
raise Exception("Checkpoint type must be a bool or dict")

# Early stopping
if self.train_params["early_stopping"]:
checkpoint_callbacks.append(
EarlyStopping(
monitor=self.train_params["monitor"],
patience=self.train_params["patience"],
mode=self.train_params["mode"],
)
)

# Get device
accelerator, devices = self.parse_devices(self.train_params["devices"])

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