diff --git a/.gitattributes b/.gitattributes index e82f6082f8caeade937b384aee5a10fb936077eb..529b012bfe250a0805375aa14e8916f4e98db5be 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1299,3 +1299,325 @@ smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/videos/libero_10_4/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10/videos/libero_10_5/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10/videos/libero_10_6/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10/videos/libero_10_7/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10/videos/libero_10_8/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10/videos/libero_10_9/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10/videos/libero_10_0/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10/videos/libero_10_1/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10/videos/libero_10_2/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10/videos/libero_10_4/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10/videos/libero_10_5/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10/videos/libero_10_6/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10/videos/libero_10_7/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10/videos/libero_10_8/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10/videos/libero_10_9/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10/videos/libero_10_0/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10/videos/libero_10_1/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10/videos/libero_10_2/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10/videos/libero_10_4/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10/videos/libero_10_5/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10/videos/libero_10_6/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10/videos/libero_10_7/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10/videos/libero_10_8/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10/videos/libero_10_9/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10/videos/libero_goal_0/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10/videos/libero_goal_0/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10/videos/libero_goal_0/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10/videos/libero_goal_0/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10/videos/libero_goal_0/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10/videos/libero_goal_0/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10/videos/libero_goal_0/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10/videos/libero_goal_0/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10/videos/libero_goal_1/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10/videos/libero_goal_2/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10/videos/libero_goal_3/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10/videos/libero_goal_4/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_0.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_1.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_2.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_3.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_4.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_5.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_6.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_7.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_8.mp4 filter=lfs diff=lfs merge=lfs -text +smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10/videos/libero_goal_5/eval_episode_9.mp4 filter=lfs diff=lfs merge=lfs -text diff --git a/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..41d3ed77651b9d0e0fe308b78f33571924084582 --- /dev/null +++ b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_6.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a76d8f18fb661af5442850cc92a393de460ba597ac6a735e2ee64d614440559b +size 244314 diff --git a/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..cdf754620f34b9466c9c88701bcf1527dabc17b3 --- /dev/null +++ b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_7.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:575760ffbc123e0debb22b4e20d2a52ccdbd7676be2d5995277ee1f36a490eb4 +size 226008 diff --git a/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..f8f6e8b66cb1e93346496c2b5dd6d2ab6019460a --- /dev/null +++ b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_8.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1501c04e3b149fc5ab25969689a1b92028358d01d65806e49feaca93e5f08d5 +size 206860 diff --git a/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..aab416b5bb8c025697a2a261612aeb0f7333c509 --- /dev/null +++ b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task03_a10/videos/libero_10_3/eval_episode_9.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c65a2e347a89536c01923e8afbd5b3cd9f87ffc40a7cf56e29af650daef46386 +size 246149 diff --git a/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/eval.log b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/eval.log new file mode 100644 index 0000000000000000000000000000000000000000..f773a8bad4e24b959000c4c272e49972bcae6cea --- /dev/null +++ b/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10/eval.log @@ -0,0 +1,1604 @@ + +[2026-09-25T00:56:25+09:00] COMMAND: /home/tml_lab/miniforge3/envs/lerobot/bin/python -m lerobot.scripts.lerobot_eval --policy.path=/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model --policy.device=cuda --policy.n_action_steps=10 --env.type=libero --env.task=libero_10 '--env.task_ids=[4]' --env.max_parallel_tasks=1 --eval.n_episodes=50 --eval.batch_size=50 --eval.use_async_envs=true --seed=3000 '--rename_map={"observation.images.image":"observation.images.camera1","observation.images.image2":"observation.images.camera2"}' --output_dir=/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10 --job_name=smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task04 +INFO 2026-09-25 00:56:52 bot_eval.py:771 {'env': {'camera_name': 'agentview_image,robot0_eye_in_hand_image', + 'camera_name_mapping': None, + 'control_mode': 'relative', + 'disable_env_checker': True, + 'episode_length': None, + 'features': {'action': {'shape': (7,), + 'type': }, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:56:52 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task04_a10 +INFO 2026-09-25 00:56:52 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:56:52 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:56:52 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:56:52 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:56:52 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=4 | n_envs=50 +INFO 2026-09-25 00:56:53 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:56:53 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:02:49 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task05_a10 +INFO 2026-09-25 01:02:49 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:02:49 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:02:49 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:02:49 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:02:49 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=5 | n_envs=50 +INFO 2026-09-25 01:02:50 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:02:50 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:08:30 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task06_a10 +INFO 2026-09-25 01:08:30 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:08:30 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:08:30 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:08:30 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:08:30 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=6 | n_envs=50 +INFO 2026-09-25 01:08:31 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:08:31 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:14:54 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task07_a10 +INFO 2026-09-25 01:14:54 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:14:54 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:14:54 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:14:54 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:14:54 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=7 | n_envs=50 +INFO 2026-09-25 01:14:55 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:14:55 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:20:34 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task08_a10 +INFO 2026-09-25 01:20:34 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:20:34 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:20:34 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:20:34 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:20:34 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=8 | n_envs=50 +INFO 2026-09-25 01:20:35 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:20:35 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task08_095000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:26:43 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task08_095000/eval_task09_a10 +INFO 2026-09-25 01:26:43 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:26:43 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:26:43 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:26:43 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:26:43 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=9 | n_envs=50 +INFO 2026-09-25 01:26:44 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:26:44 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:10:57 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task00_a10 +INFO 2026-09-24 17:10:57 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:10:57 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:10:57 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:10:57 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:10:57 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=0 | n_envs=50 +INFO 2026-09-24 17:10:58 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:10:58 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:15:30 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task01_a10 +INFO 2026-09-24 17:15:30 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:15:30 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:15:30 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:15:30 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:15:30 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=1 | n_envs=50 +INFO 2026-09-24 17:15:31 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:15:31 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:20:05 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task02_a10 +INFO 2026-09-24 17:20:05 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:20:05 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:20:05 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:20:05 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:20:05 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=2 | n_envs=50 +INFO 2026-09-24 17:20:06 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:20:06 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:24:32 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task03_a10 +INFO 2026-09-24 17:24:32 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:24:32 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:24:32 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:24:32 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:24:32 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=3 | n_envs=50 +INFO 2026-09-24 17:24:32 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:24:32 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:29:19 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task04_a10 +INFO 2026-09-24 17:29:19 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:29:19 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:29:19 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:29:19 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:29:20 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=4 | n_envs=50 +INFO 2026-09-24 17:29:20 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:29:20 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:34:10 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task05_a10 +INFO 2026-09-24 17:34:10 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:34:10 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:34:10 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:34:10 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:34:10 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=5 | n_envs=50 +INFO 2026-09-24 17:34:10 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:34:10 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:39:01 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task06_a10 +INFO 2026-09-24 17:39:01 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:39:01 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:39:01 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:39:01 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:39:01 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=6 | n_envs=50 +INFO 2026-09-24 17:39:02 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:39:02 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:43:45 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task07_a10 +INFO 2026-09-24 17:43:45 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:43:45 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:43:45 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:43:45 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:43:45 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=7 | n_envs=50 +INFO 2026-09-24 17:43:46 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:43:46 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:48:21 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task08_a10 +INFO 2026-09-24 17:48:21 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:48:21 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:48:21 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:48:21 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:48:21 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=8 | n_envs=50 +INFO 2026-09-24 17:48:21 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:48:21 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_050000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:52:39 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_050000/eval_task09_a10 +INFO 2026-09-24 17:52:39 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:52:39 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:52:39 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:52:39 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:52:39 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=9 | n_envs=50 +INFO 2026-09-24 17:52:40 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:52:40 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:32:09 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task00_a10 +INFO 2026-09-25 01:32:09 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:32:09 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:32:09 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:32:09 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:32:09 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=0 | n_envs=50 +INFO 2026-09-25 01:32:10 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:32:10 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:38:40 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task01_a10 +INFO 2026-09-25 01:38:40 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:38:40 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:38:40 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:38:40 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:38:40 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=1 | n_envs=50 +INFO 2026-09-25 01:38:41 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:38:41 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:44:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task02_a10 +INFO 2026-09-25 01:44:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:44:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:44:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:44:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:44:36 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=2 | n_envs=50 +INFO 2026-09-25 01:44:37 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:44:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:50:57 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task03_a10 +INFO 2026-09-25 01:50:57 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:50:57 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:50:57 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:50:57 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:50:57 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=3 | n_envs=50 +INFO 2026-09-25 01:50:57 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:50:57 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:56:46 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task04_a10 +INFO 2026-09-25 01:56:46 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:56:46 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:56:46 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:56:46 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:56:46 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=4 | n_envs=50 +INFO 2026-09-25 01:56:47 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:56:47 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:02:37 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task05_a10 +INFO 2026-09-25 02:02:37 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:02:37 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:02:37 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:02:37 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:02:37 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=5 | n_envs=50 +INFO 2026-09-25 02:02:37 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:02:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:08:20 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task06_a10 +INFO 2026-09-25 02:08:20 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:08:20 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:08:20 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:08:20 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:08:21 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=6 | n_envs=50 +INFO 2026-09-25 02:08:21 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:08:21 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:14:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task07_a10 +INFO 2026-09-25 02:14:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:14:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:14:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:14:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:14:36 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=7 | n_envs=50 +INFO 2026-09-25 02:14:37 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:14:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:20:43 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task08_a10 +INFO 2026-09-25 02:20:43 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:20:43 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:20:43 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:20:43 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:20:43 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=8 | n_envs=50 +INFO 2026-09-25 02:20:43 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:20:43 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_10', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_10_2e-3_split2_libero_10_task09_100000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_10_2e-3_split2/checkpoints/libero_10_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:27:33 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_10_2e-3_split2/libero_10_task09_100000/eval_task09_a10 +INFO 2026-09-25 02:27:33 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:27:33 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:27:33 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:27:33 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:27:33 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_10'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_10 | task_id=9 | n_envs=50 +INFO 2026-09-25 02:27:34 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:27:34 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_005000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_005000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 13:14:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_005000/eval_task00_a10 +INFO 2026-09-24 13:14:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 13:14:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 13:14:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 13:14:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 13:14:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=0 | n_envs=50 +INFO 2026-09-24 13:14:27 bot_eval.py:790 Making policy. +INFO 2026-09-24 13:14:27 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:58:09 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task00_a10 +INFO 2026-09-24 17:58:09 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:58:09 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:58:09 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:58:09 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:58:09 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=0 | n_envs=50 +INFO 2026-09-24 17:58:09 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:58:09 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:02:12 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task01_a10 +INFO 2026-09-24 18:02:12 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:02:12 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:02:12 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:02:12 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:02:12 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=1 | n_envs=50 +INFO 2026-09-24 18:02:12 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:02:12 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:06:48 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task02_a10 +INFO 2026-09-24 18:06:48 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:06:48 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:06:48 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:06:48 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:06:48 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=2 | n_envs=50 +INFO 2026-09-24 18:06:49 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:06:49 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:12:43 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task03_a10 +INFO 2026-09-24 18:12:43 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:12:43 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:12:43 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:12:43 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:12:43 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=3 | n_envs=50 +INFO 2026-09-24 18:12:44 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:12:44 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:17:39 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task04_a10 +INFO 2026-09-24 18:17:39 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:17:39 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:17:39 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:17:39 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:17:39 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=4 | n_envs=50 +INFO 2026-09-24 18:17:40 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:17:40 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_goal', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_goal_2e-3_split2_libero_goal_task00_055000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_goal_2e-3_split2/checkpoints/libero_goal_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:22:31 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_goal_2e-3_split2/libero_goal_task00_055000/eval_task05_a10 +INFO 2026-09-24 18:22:31 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:22:31 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:22:31 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:22:31 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:22:31 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_goal'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_goal | task_id=5 | n_envs=50 +INFO 2026-09-24 18:22:32 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:22:32 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00