1 files changed, 19 insertions, 17 deletions
diff --git a/text_recognizer/models/base.py b/text_recognizer/models/base.py
index bf3bc08..63fe5a7 100644
--- a/text_recognizer/models/base.py
+++ b/text_recognizer/models/base.py
@@ -1,7 +1,6 @@
 """Base PyTorch Lightning model."""
 from typing import Any, Dict, List, Optional, Tuple, Type
 
-from attrs import define, field
 import hydra
 from loguru import logger as log
 from omegaconf import DictConfig
@@ -9,31 +8,34 @@ from pytorch_lightning import LightningModule
 import torch
 from torch import nn
 from torch import Tensor
-import torchmetrics
+from torchmetrics import Accuracy
 
 from text_recognizer.data.mappings.base import AbstractMapping
 
 
-@define(eq=False)
 class BaseLitModel(LightningModule):
     """Abstract PyTorch Lightning class."""
 
-    def __attrs_pre_init__(self) -> None:
-        """Pre init constructor."""
+    def __init__(
+        self,
+        network: Type[nn.Module],
+        loss_fn: Type[nn.Module],
+        optimizer_configs: DictConfig,
+        lr_scheduler_configs: Optional[DictConfig],
+        mapping: Type[AbstractMapping],
+    ) -> None:
         super().__init__()
 
-    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 = 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())
+        self.network = network
+        self.loss_fn = loss_fn
+        self.optimizer_configs = optimizer_configs
+        self.lr_scheduler_configs = lr_scheduler_configs
+        self.mapping = mapping
+
+        # Placeholders
+        self.train_acc = Accuracy()
+        self.val_acc = Accuracy()
+        self.test_acc = Accuracy()
 
     def optimizer_zero_grad(
         self,