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lerobot/examples/5_train_libero.sh
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Jade Choghari b997fdde96 update bash
2025-08-28 18:16:25 +03:00

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#!/bin/bash
# config
REPO_ID=jadechoghari/smol-libero3
TASK=libero_10
OUTPUT_DIR=./outputs/
# clean previous run
rm -rf $OUTPUT_DIR
# training params
STEPS=100000
BATCH_SIZE=4
EVAL_FREQ=1
SAVE_FREQ=10000
NUM_WORKERS=0
# model params
POLICY=smolvla
USE_AMP=false
OPTIMIZER_LR=1e-4
PEFT_METHOD=lora
LOAD_VLM_WEIGHTS=true
VLM_REPO_ID=None
MAX_ACTION_DIM=32
MAX_STATE_DIM=32
# dataset/image params
USE_IMAGENET_STATS=false
ENABLE_IMG_TRANSFORM=true
MAX_NUM_IMAGES=2
MAX_IMAGE_DIM=1024
unset LEROBOT_HOME
unset HF_LEROBOT_HOME
export MUJOCO_GL=egl
echo -e "\033[1;33m[WARNING]\033[0m LIBERO is not yet fully supported in this PR!"
# launch
python src/lerobot/scripts/train.py \
--policy.type=$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=False \
--eval.batch_size=1 \
--eval.n_episodes=1 \