1 files changed, 10 insertions, 14 deletions
diff --git a/text_recognizer/models/base.py b/text_recognizer/models/base.py
index 821cb69..bf3bc08 100644
--- a/text_recognizer/models/base.py
+++ b/text_recognizer/models/base.py
@@ -1,7 +1,7 @@
 """Base PyTorch Lightning model."""
 from typing import Any, Dict, List, Optional, Tuple, Type
 
-import attr
+from attrs import define, field
 import hydra
 from loguru import logger as log
 from omegaconf import DictConfig
@@ -14,7 +14,7 @@ import torchmetrics
 from text_recognizer.data.mappings.base import AbstractMapping
 
 
-@attr.s(eq=False)
+@define(eq=False)
 class BaseLitModel(LightningModule):
     """Abstract PyTorch Lightning class."""
 
@@ -22,22 +22,18 @@ class BaseLitModel(LightningModule):
         """Pre init constructor."""
         super().__init__()
 
-    network: Type[nn.Module] = attr.ib()
-    loss_fn: Type[nn.Module] = attr.ib()
-    optimizer_configs: DictConfig = attr.ib()
-    lr_scheduler_configs: Optional[DictConfig] = attr.ib()
-    mapping: Type[AbstractMapping] = attr.ib()
+    network: Type[nn.Module] = field()
+    loss_fn: Type[nn.Module] = field()
+    optimizer_configs: DictConfig = field()
+    lr_scheduler_configs: Optional[DictConfig] = field()
+    mapping: Type[AbstractMapping] = field()
 
     # Placeholders
-    train_acc: torchmetrics.Accuracy = attr.ib(
-        init=False, default=torchmetrics.Accuracy()
-    )
-    val_acc: torchmetrics.Accuracy = attr.ib(
-        init=False, default=torchmetrics.Accuracy()
-    )
-    test_acc: torchmetrics.Accuracy = attr.ib(
+    train_acc: torchmetrics.Accuracy = field(
         init=False, default=torchmetrics.Accuracy()
     )
+    val_acc: torchmetrics.Accuracy = field(init=False, default=torchmetrics.Accuracy())
+    test_acc: torchmetrics.Accuracy = field(init=False, default=torchmetrics.Accuracy())
 
     def optimizer_zero_grad(
         self,