diff --git a/spinup/examples/pytorch/Hybrid_SAC.py b/spinup/examples/pytorch/Hybrid_SAC.py
index 91809ab34..4e59f247e 100644
--- a/spinup/examples/pytorch/Hybrid_SAC.py
+++ b/spinup/examples/pytorch/Hybrid_SAC.py
@@ -9,7 +9,7 @@
 
 TRAIN=1
 env_fn = lambda: gym.make('Fep-v0')
-exp_name = "TEST_Slurm"
+exp_name = "Fepv0_15_lr0002_3000epochs_lp130_separated_pose_errors"
 if __name__ == '__main__':
     if TRAIN:
         # train
@@ -17,7 +17,7 @@
         if not os.path.exists(output_dir):
             os.makedirs(output_dir)
         logger_kwargs = dict(output_dir=output_dir, exp_name=exp_name)
-        sac(env_fn, ac_kwargs={}, seed=0, steps_per_epoch=100, epochs=200, replay_size=1000000, gamma=0.99, polyak=0.995,
+        sac(env_fn, ac_kwargs={}, seed=0, steps_per_epoch=100, epochs=3000, replay_size=1000000, gamma=0.99, polyak=0.995,
             lr=0.002, alpha_init=0.001, batch_size=100, start_steps=10000, update_after=10000, update_every=100, num_test_episodes=2,
             max_ep_len=np.inf, logger_kwargs=logger_kwargs, save_freq=1, initial_actions="random", save_buffer=True, sample_mode = 1, automatic_entropy_tuning=True)
     else: