diff --git a/src/nnue/evaluate_nnue_learner.cpp b/src/nnue/evaluate_nnue_learner.cpp
index 7a72ea19..6775707d 100644
--- a/src/nnue/evaluate_nnue_learner.cpp
+++ b/src/nnue/evaluate_nnue_learner.cpp
@@ -68,6 +68,11 @@ namespace Eval::NNUE {
 
         out << std::endl;
 
+        out << "Factorizers:\n"
+            << Features::Factorizer<RawFeatures>::get_factorizers_string() << std::endl;
+
+        out << std::endl;
+
         assert(feature_transformer);
         assert(network);
 
diff --git a/src/nnue/trainer/features/factorizer.h b/src/nnue/trainer/features/factorizer.h
index 49a2fe26..15ce8022 100644
--- a/src/nnue/trainer/features/factorizer.h
+++ b/src/nnue/trainer/features/factorizer.h
@@ -13,6 +13,14 @@ namespace Eval::NNUE::Features {
     template <typename FeatureType>
     class Factorizer {
     public:
+        static constexpr std::string get_name() {
+            return std::string("No factorizer");
+        }
+
+        static constexpr std::string get_factorizers_string() {
+            return "  - " + get_name();
+        }
+
         // Get the dimensionality of the learning feature
         static constexpr IndexType get_dimensions() {
             return FeatureType::kDimensions;
diff --git a/src/nnue/trainer/features/factorizer_feature_set.h b/src/nnue/trainer/features/factorizer_feature_set.h
index 032a449b..f5ee3c5c 100644
--- a/src/nnue/trainer/features/factorizer_feature_set.h
+++ b/src/nnue/trainer/features/factorizer_feature_set.h
@@ -21,6 +21,14 @@ namespace Eval::NNUE::Features {
         static constexpr IndexType kBaseDimensions =
             FeatureSet<FirstFeatureType, RemainingFeatureTypes...>::kDimensions;
 
+        static constexpr std::string get_factorizers_string() {
+            std::string str = "  - ";
+            str += Head::get_name();
+            str += '\n';
+            str += Tail::get_factorizers_string();
+            return str;
+        }
+
         // Get the dimensionality of the learning feature
         static constexpr IndexType get_dimensions() {
             return Head::get_dimensions() + Tail::get_dimensions();
@@ -73,6 +81,14 @@ namespace Eval::NNUE::Features {
         // number of dimensions of original input features
         static constexpr IndexType kBaseDimensions = FeatureType::kDimensions;
 
+        static constexpr std::string get_name() {
+            return FeatureType::kName;
+        }
+
+        static constexpr std::string get_factorizers_string() {
+            return "  - " + get_name();
+        }
+
         // Get the dimensionality of the learning feature
         static constexpr IndexType get_dimensions() {
             return Factorizer<FeatureType>::get_dimensions();
diff --git a/src/nnue/trainer/features/factorizer_half_kp.h b/src/nnue/trainer/features/factorizer_half_kp.h
index 152722ac..601ddfa5 100644
--- a/src/nnue/trainer/features/factorizer_half_kp.h
+++ b/src/nnue/trainer/features/factorizer_half_kp.h
@@ -45,6 +45,14 @@ namespace Eval::NNUE::Features {
         static_assert(get_array_length(kProperties) == kNumTrainingFeatureTypes, "");
 
     public:
+        static constexpr std::string get_name() {
+            return std::string("Factorizer<") + FeatureType::kName + ">";
+        }
+
+        static constexpr std::string get_factorizers_string() {
+            return "  - " + get_name();
+        }
+
         // Get the dimensionality of the learning feature
         static constexpr IndexType get_dimensions() {
             return get_active_dimensions(kProperties);