refactor(config): 重命名 TransformerConfig 为 ModelConfig

tests/conftest.py

@@ -9,7 +9,7 @@ import pytest
 import matplotlib
 from torch.utils.data import Dataset
 
-from khaosz.config.model_config import TransformerConfig
+from khaosz.config.model_config import ModelConfig
 from khaosz.data.tokenizer import BpeTokenizer
 from khaosz.model.transformer import Transformer
 
@@ -102,7 +102,7 @@ def base_test_env(request: pytest.FixtureRequest):
     with open(config_path, 'w') as f:
         json.dump(config, f)
     device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-    transformer_config = TransformerConfig().load(config_path)
+    transformer_config = ModelConfig().load(config_path)
     model = Transformer(transformer_config).to(device=device)
     tokenizer = BpeTokenizer()
     

tests/test_module.py

@@ -38,7 +38,7 @@ def test_env(request: pytest.FixtureRequest):
     tokenizer.train_from_iterator(sp_token_iter, config["vocab_size"], 1)
     tokenizer.save(tokenizer_path)
     
-    transformer_config = TransformerConfig().load(config_path)
+    transformer_config = ModelConfig().load(config_path)
     model = Transformer(transformer_config)
     st.save_file(model.state_dict(), model_path)