Rename lit models

2 files changed, 16 insertions, 7 deletions

diff --git a/text_recognizer/models/base.py b/text_recognizer/models/base.py
index 63fe5a7..77c5509 100644
--- a/text_recognizer/models/base.py
+++ b/text_recognizer/models/base.py
@@ -13,7 +13,7 @@ from torchmetrics import Accuracy
 from text_recognizer.data.mappings.base import AbstractMapping
 
 
-class BaseLitModel(LightningModule):
+class LitBase(LightningModule):
     """Abstract PyTorch Lightning class."""
 
     def __init__(
diff --git a/text_recognizer/models/transformer.py b/text_recognizer/models/transformer.py
index 9537dd9..4bbc671 100644
--- a/text_recognizer/models/transformer.py
+++ b/text_recognizer/models/transformer.py
@@ -1,24 +1,33 @@
-"""PyTorch Lightning model for base Transformers."""
-from typing import Set, Tuple
+"""Lightning model for base Transformers."""
+from typing import Optional, Tuple, Type
 
+from omegaconf import DictConfig
 import torch
-from torch import Tensor
+from torch import nn, Tensor
 
-from text_recognizer.models.base import BaseLitModel
+from text_recognizer.data.mappings import AbstractMapping
+from text_recognizer.models.base import LitBase
 from text_recognizer.models.metrics import CharacterErrorRate
 
 
-class TransformerLitModel(BaseLitModel):
+class LitTransformer(LitBase):
     """A PyTorch Lightning model for transformer networks."""
 
     def __init__(
         self,
+        network: Type[nn.Module],
+        loss_fn: Type[nn.Module],
+        optimizer_configs: DictConfig,
+        lr_scheduler_configs: Optional[DictConfig],
+        mapping: Type[AbstractMapping],
         max_output_len: int = 451,
         start_token: str = "<s>",
         end_token: str = "<e>",
         pad_token: str = "<p>",
     ) -> None:
-        super().__init__()
+        super().__init__(
+            network, loss_fn, optimizer_configs, lr_scheduler_configs, mapping
+        )
         self.max_output_len = max_output_len
         self.start_token = start_token
         self.end_token = end_token