diff --git a/benchmark/benchmark.py b/benchmark/benchmark.py
index f1dead2..c5a3526 100755
--- a/benchmark/benchmark.py
+++ b/benchmark/benchmark.py
@@ -66,8 +66,8 @@ def train():
     solver = LearningSolver(time_limit=train_time_limit,
                             solver=internal_solver)
     solver.add(BranchPriorityComponent())
-    solver.parallel_solve(train_instances[:1], n_jobs=n_jobs)
-    solver.fit(train_instances[:1])
+    solver.parallel_solve(train_instances, n_jobs=n_jobs)
+    solver.fit(train_instances)
     save(train_instances, "%s/train_instances.bin" % basepath)
     save(test_instances, "%s/test_instances.bin" % basepath)
 
diff --git a/src/python/miplearn/components/branching.py b/src/python/miplearn/components/branching.py
index 16eb187..5979868 100644
--- a/src/python/miplearn/components/branching.py
+++ b/src/python/miplearn/components/branching.py
@@ -55,7 +55,7 @@ class BranchPriorityComponent(Component):
         pass
 
     def fit(self, training_instances, n_jobs=1):
-        for instance in training_instances:
+        for instance in tqdm(training_instances, desc="Fit (branch)"):
             if not hasattr(instance, "branch_priorities"):
                 instance.branch_priorities = self.compute_priorities(instance)
         x, y = self.x(training_instances), self.y(training_instances)