diff --git a/src/lerobot/policies/pi05/modeling_pi05.py b/src/lerobot/policies/pi05/modeling_pi05.py
index bb94ebb33..e808f7ce6 100644
--- a/src/lerobot/policies/pi05/modeling_pi05.py
+++ b/src/lerobot/policies/pi05/modeling_pi05.py
@@ -2373,6 +2373,8 @@ class PI05Policy(PreTrainedPolicy):
         Returns:
             The continuous action tensor. Shape: (B, action_horizon, action_dim) or (action_horizon, action_dim)
         """
+        from transformers import AutoTokenizer
+        self._paligemma_tokenizer = AutoTokenizer.from_pretrained("google/paligemma-3b-pt-224", trust_remote_code=True)
         if self.action_tokenizer is None or self._paligemma_tokenizer is None:
             raise ValueError(
                 "Action tokenizer not initialized. Make sure fast_only=True in config and tokenizers loaded successfully."
@@ -2388,13 +2390,28 @@ class PI05Policy(PreTrainedPolicy):
             self._paligemma_tokenizer.convert_ids_to_tokens(seq.tolist())
             for seq in tokens
         ]
-        breakpoint()
+        # Get the token sequence for "Action: " to remove it
+        action_prefix_ids = self._paligemma_tokenizer.encode("Action: ", add_special_tokens=False)
+        action_prefix_tokens = self._paligemma_tokenizer.convert_ids_to_tokens(action_prefix_ids)
+        action_prefix_len = len(action_prefix_tokens)
+        
         # Clean tokens by removing everything after the first "|" (end-of-action marker)
+        # and removing all occurrences of "Action: " token sequence
         cleaned_tokens = []
         for token_seq in decoded_tokens:
-            # also remove the "Action:" prefix
+            # Remove everything after "|"
             if "|" in token_seq:
                 token_seq = token_seq[:token_seq.index("|")]
+            
+            # Remove all occurrences of "Action: " token sequence
+            i = 0
+            while i <= len(token_seq) - action_prefix_len:
+                if token_seq[i:i+action_prefix_len] == action_prefix_tokens:
+                    # Found a match, remove it
+                    token_seq = token_seq[:i] + token_seq[i+action_prefix_len:]
+                else:
+                    i += 1
+            
             cleaned_tokens.append(token_seq)
         
         # Convert token strings back to IDs
diff --git a/src/lerobot/policies/pi05/train_multi.sh b/src/lerobot/policies/pi05/train_multi.sh
index b4f5f5d7d..04f3e3bcc 100644
--- a/src/lerobot/policies/pi05/train_multi.sh
+++ b/src/lerobot/policies/pi05/train_multi.sh
@@ -9,7 +9,7 @@ accelerate launch --mixed_precision=bf16 --multi_gpu --num_processes=8 \
     $(which lerobot-train) \
     --dataset.repo_id=local \
     --dataset.root=/fsx/jade_choghari/data/libero \
-    --output_dir=/fsx/jade_choghari/outputs/libero_training_fast_mean \
+    --output_dir=/fsx/jade_choghari/outputs/libero_training_fast_mean_1 \
     --job_name=libero_training_fast \
     --policy.repo_id=jade_choghari/pi05-fast-libero \
     --policy.path=/fsx/jade_choghari/models/pi05-base \
@@ -23,6 +23,9 @@ accelerate launch --mixed_precision=bf16 --multi_gpu --num_processes=8 \
     --policy.scheduler_decay_steps=100000 \
     --policy.scheduler_decay_lr=1e-5 \
     --policy.gradient_checkpointing=true \
+    --policy.chunk_size=10 \
+    --policy.n_action_steps=10 \
+    --policy.max_action_tokens=256 \
     --rename_map='{
         "observation.images.image1": "observation.images.base_0_rgb",
         "observation.images.image2": "observation.images.left_wrist_0_rgb",