diff --git a/casanovo/config.py b/casanovo/config.py
index 1f3134ed..21174c61 100644
--- a/casanovo/config.py
+++ b/casanovo/config.py
@@ -89,8 +89,6 @@ class Config:
         gradient_clip_val=float,
         gradient_clip_algorithm=str,
         precision=str,
-        early_stopping_patience=int,
-        resume_training_from=str,
         mskb_tokenizer=bool,
     )
 
diff --git a/casanovo/config.yaml b/casanovo/config.yaml
index c36d5606..a5e10a6a 100644
--- a/casanovo/config.yaml
+++ b/casanovo/config.yaml
@@ -109,10 +109,6 @@ gradient_clip_val:
 gradient_clip_algorithm: 
 precision: "32-true" # '16-true', '16-mixed', 'bf16-true', 'bf16-mixed', '32-true', '64-true', '64', '32', '16', 'bf16'
 
-# Resume training and early stopping
-resume_training_from : #'last', 'best', 'path'
-early_stopping_patience:
-
 # Replace I by L in peptide sequences
 replace_isoleucine_with_leucine: True
 # Reverse peptide sequences
diff --git a/casanovo/denovo/model_runner.py b/casanovo/denovo/model_runner.py
index 3e085cfc..7016e59b 100644
--- a/casanovo/denovo/model_runner.py
+++ b/casanovo/denovo/model_runner.py
@@ -114,24 +114,6 @@ def __init__(
             ),
         ]
 
-        # Configure early stopping
-        if config.early_stopping_patience is not None:
-            self.callbacks.append(
-                EarlyStopping(
-                    monitor="valid_CELoss",
-                    min_delta=0.00,
-                    patience=self.config.early_stopping_patience,
-                    verbose=True,
-                    check_finite=True,
-                    mode="min",
-                )
-            )
-        # Configure learning rate monitor
-        if config.tb_summarywriter is not None:
-            self.callbacks.append(
-                LearningRateMonitor(logging_interval="step", log_momentum=True)
-            )
-
     def __enter__(self):
         """Enter the context manager"""
         self.tmp_dir = tempfile.TemporaryDirectory()