diff --git a/code/aind_auto_train/curriculums/coupled_baiting_1p1.py b/code/aind_auto_train/curriculums/coupled_baiting_1p1.py
deleted file mode 100644
index aacd437..0000000
--- a/code/aind_auto_train/curriculums/coupled_baiting_1p1.py
+++ /dev/null
@@ -1,56 +0,0 @@
-'''
-Curriculum for Dynamic Foraging - Coupled Baiting
-https://alleninstitute.sharepoint.com/:p:/s/NeuralDynamics/EQwuU0I4PBtGsU2wilCHklEBDTXYGT3F-QtaN6iDGJLBmg?e=N10dya
-
-Run the code to generate the curriculum.json and graphs
-
-'''
-
-# %%
-
-from aind_auto_train.schema.curriculum import TrainingStage
-from aind_auto_train.curriculum_manager import LOCAL_SAVED_CURRICULUM_ROOT
-
-
-# Reuse the curriculum from 0.1
-from aind_auto_train.curriculums.coupled_baiting_1p0 import curriculum as curriculum_0p1
-
-# Override some parameters
-curriculum = curriculum_0p1.model_copy()
-curriculum.curriculum_version = "1.1"
-curriculum.curriculum_description = "More stringent criteria before GRADUATED than 0.1"
-
-curriculum.get_transition_rule(
-    TrainingStage.STAGE_FINAL, TrainingStage.GRADUATED).__dict__.update(**dict(
-        condition_description=("For recent 7 sessions,"
-                               "mean finished trials >= 500 and mean efficiency >= 0.75 "
-                               "and total sessions >= 14 and sessions at final >= 7"),
-        condition="""lambda metrics:
-                    metrics.session_total >= 14 
-                    and
-                    metrics.session_at_current_stage >= 7
-                    and
-                    np.mean(metrics.finished_trials[-5:]) >= 500
-                    and
-                    np.mean(metrics.foraging_efficiency[-5:]) >= 0.75
-                    """,
-    ))
-
-# curriculum.get_transition_rule(
-#     TrainingStage.STAGE_1, TrainingStage.STAGE_2).__dict__.update(**dict(condition_description='feeff'))
-
-
-# %%
-if __name__ == '__main__':
-    import os
-
-    curriculum_path = LOCAL_SAVED_CURRICULUM_ROOT
-    os.makedirs(curriculum_path, exist_ok=True)
-
-    # Save curriculum json and diagrams
-    curriculum.save_to_json(path=curriculum_path)
-    curriculum.diagram_rules(path=curriculum_path,
-                             render_file_format='svg')
-    curriculum.diagram_paras(path=curriculum_path,
-                             render_file_format='svg',
-                             fontsize=12)