From 5f5438d6fa1fb3c5c8eeeae6363af5dc8937ac4d Mon Sep 17 00:00:00 2001
From: Jade Choghari <chogharijade@gmail.com>
Date: Fri, 5 Sep 2025 13:47:23 +0300
Subject: [PATCH] remove sh files

---
 examples/5_train_libero.sh    | 53 -----------------------------------
 examples/6_evaluate_libero.sh | 19 -------------
 2 files changed, 72 deletions(-)
 delete mode 100755 examples/5_train_libero.sh
 delete mode 100644 examples/6_evaluate_libero.sh

diff --git a/examples/5_train_libero.sh b/examples/5_train_libero.sh
deleted file mode 100755
index 1f2cf7bb8..000000000
--- a/examples/5_train_libero.sh
+++ /dev/null
@@ -1,53 +0,0 @@
-#!/bin/bash
-
-# config
-REPO_ID=jadechoghari/smol-libero3
-TASK=libero_10,libero_spatial
-OUTPUT_DIR=./outputs/
-
-# clean previous run
-rm -rf $OUTPUT_DIR
-
-# training params
-STEPS=100000
-BATCH_SIZE=4
-EVAL_FREQ=1
-SAVE_FREQ=10000
-NUM_WORKERS=4
-
-# model params
-POLICY=smolvla
-USE_AMP=false
-OPTIMIZER_LR=1e-4
-PEFT_METHOD=lora
-LOAD_VLM_WEIGHTS=true
-VLM_REPO_ID=None
-MAX_ACTION_DIM=32
-MAX_STATE_DIM=32
-
-# dataset/image params
-USE_IMAGENET_STATS=false
-ENABLE_IMG_TRANSFORM=true
-MAX_NUM_IMAGES=2
-MAX_IMAGE_DIM=1024
-unset LEROBOT_HOME
-unset HF_LEROBOT_HOME
-export MUJOCO_GL=egl
-echo -e "\033[1;33m[WARNING]\033[0m LIBERO is not yet fully supported in this PR!"
-
-# launch
-python src/lerobot/scripts/train.py \
-  --policy.type=$POLICY \
-  --dataset.repo_id=$REPO_ID \
-  --env.type=libero \
-  --env.task=$TASK \
-  --output_dir=$OUTPUT_DIR \
-  --steps=$STEPS \
-  --batch_size=$BATCH_SIZE \
-  --eval_freq=$EVAL_FREQ \
-  --save_freq=$SAVE_FREQ \
-  --num_workers=$NUM_WORKERS \
-  --policy.repo_id=$VLM_REPO_ID \
-  --env.multitask_eval=True \
-  --eval.batch_size=1 \
-  --eval.n_episodes=1 \
diff --git a/examples/6_evaluate_libero.sh b/examples/6_evaluate_libero.sh
deleted file mode 100644
index 36f8c6473..000000000
--- a/examples/6_evaluate_libero.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/bash
-
-unset LEROBOT_HOME
-unset HF_LEROBOT_HOME
-# CONFIGURATION
-POLICY_PATH="bicmol/smolvla-libero"
-TASK=libero_spatial
-ENV_TYPE="libero"
-BATCH_SIZE=1
-N_EPISODES=1
-export MUJOCO_GL=egl
-# RUN EVALUATION
-python src/lerobot/scripts/eval.py \
-    --policy.path="$POLICY_PATH" \
-    --env.type="$ENV_TYPE" \
-    --eval.batch_size="$BATCH_SIZE" \
-    --eval.n_episodes="$N_EPISODES" \
-    --env.multitask_eval=False \
-    --env.task=$TASK \