diff --git a/data/envs/metaworld/train_all.sh b/data/envs/metaworld/train_all.sh
index dbf328a..c393191 100755
--- a/data/envs/metaworld/train_all.sh
+++ b/data/envs/metaworld/train_all.sh
@@ -4,7 +4,7 @@ ENVS=(
     assembly
     basketball
     bin-picking
-    box-close
+    #box-close
     button-press-topdown
     button-press-topdown-wall
     button-press
diff --git a/gia/eval/callback.py b/gia/eval/callback.py
index 5c3a080..4b6198f 100644
--- a/gia/eval/callback.py
+++ b/gia/eval/callback.py
@@ -2,10 +2,10 @@ import glob
 import json
 import subprocess
 
-import wandb
 from accelerate import Accelerator
 from transformers import TrainerCallback, TrainerControl, TrainerState, TrainingArguments
 
+import wandb
 from gia.config import Arguments
 from gia.eval.utils import is_slurm_available
 
diff --git a/gia/eval/rl/envs/core.py b/gia/eval/rl/envs/core.py
index ec5e5b2..3294471 100644
--- a/gia/eval/rl/envs/core.py
+++ b/gia/eval/rl/envs/core.py
@@ -180,7 +180,7 @@ def make(task_name: str, num_envs: int = 1):
         import metaworld
 
         env_id = TASK_TO_ENV_MAPPING[task_name]
-        env = gym.vector.SyncVectorEnv([lambda: gym.make(env_id)] * num_envs)
+        env = gym.make(env_id)
 
     else:
         raise ValueError(f"Unknown task name: {task_name}")
diff --git a/gia/eval/rl/gia_agent.py b/gia/eval/rl/gia_agent.py
index f0d0b9b..255beda 100644
--- a/gia/eval/rl/gia_agent.py
+++ b/gia/eval/rl/gia_agent.py
@@ -54,7 +54,7 @@ class GiaAgent:
         self.action_space = action_space
         self.deterministic = deterministic
         self.device = next(model.parameters()).device
-        self._max_length = self.model.config.max_position_embeddings - 10
+        self._max_length = self.model.config.max_position_embeddings - 100
 
         if isinstance(observation_space, spaces.Box):
             self._observation_key = "continuous_observations"
diff --git a/gia/eval/rl/gym_evaluator.py b/gia/eval/rl/gym_evaluator.py
index f8531ee..71e0fdc 100644
--- a/gia/eval/rl/gym_evaluator.py
+++ b/gia/eval/rl/gym_evaluator.py
@@ -1,7 +1,6 @@
 import gym
 from gym.vector.vector_env import VectorEnv
 
-from gia.eval.mappings import TASK_TO_ENV_MAPPING
 from gia.eval.rl.rl_evaluator import RLEvaluator