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config.json

@@ -15,7 +15,6 @@
   "num_heads": 8,
   "num_transformer_layers": 4,
   "output_size": 128,
-  "ptm_type": "ACE",
   "task_type": "DPPIV",
   "torch_dtype": "float32",
   "transformers_version": "4.35.2"

configuration_pdeeppp.py

@@ -18,9 +18,9 @@ class PDeepPPConfig(PretrainedConfig):
         hidden_size=256,
         num_transformer_layers=4,
         dropout=0.3,
-        ptm_type="ACE",
-        esm_ratio=0.96,
-        lambda_=1,
+        task_type="",  # 留空，依赖 convert 文件动态补充
+        esm_ratio=None,  # 留空，依赖 convert 文件动态补充
+        lambda_=None,  # 留空，依赖 convert 文件动态补充
         **kwargs
     ):
         super().__init__(**kwargs)
@@ -30,8 +30,8 @@ class PDeepPPConfig(PretrainedConfig):
         self.hidden_size = hidden_size
         self.num_transformer_layers = num_transformer_layers
         self.dropout = dropout
-        self.ptm_type = ptm_type
-        self.esm_ratio = esm_ratio
-        self.lambda_ = lambda_
+        self.task_type = task_type  # 默认留空
+        self.esm_ratio = esm_ratio  # 默认留空
+        self.lambda_ = lambda_  # 默认留空
 
 PDeepPPConfig.register_for_auto_class()