category string | suite string | episodes_per_task int64 | seed int64 | episode_length int64 | policy string | strategy dict | configs list |
|---|---|---|---|---|---|---|---|
Light Conditions | libero_10 | 5 | 1,000 | 520 | TensorAuto/tPi0.5-libero | {
"low_l1_l3": "metrics-only first; rerun failed tasks with video",
"high_l4_l5": "direct video recording in chunks"
} | [
{
"name": "low_l1_l3_metrics",
"config": "configs/local/light_conditions_50x5/light_conditions_low_l1_l3_metrics.json",
"render": false,
"task_count": 99,
"task_ids": [
2259,
2260,
2261,
2265,
2267,
2268,
2270,
2271,
2273,
2275,
2... |
pi0.5 LIBERO-plus Light Conditions Failures
Failure summary artifacts for evaluating TensorAuto/tPi0.5-libero on the LIBERO-plus Light Conditions perturbation subset through OpenTau.
Evaluation Setup
- Benchmark: LIBERO-plus
- Suite:
libero_10 - Perturbation category:
Light Conditions - Policy:
TensorAuto/tPi0.5-libero - Tasks: 274
- Episodes per task: 5
- Total evaluated episodes: 1415
- Seed schedule: episode seeds
1000to1004 - Episode length: 520 steps
- Hardware used locally: RTX 5070 Ti Laptop GPU, 12GB VRAM
Summary
- Successes: 1252 / 1415
- Success rate: 88.48%
- Failures: 163
- Failure videos rendered into grids: 152
- Failures missing videos: 11
Files
videos/: 16-panel failure grid videos.metadata/light_conditions_full_failure_grids.json: machine-readable failure records, task IDs, episode IDs, seeds, difficulty levels, light condition IDs, rewards, and source video paths.metadata/light_conditions_full_failure_grids.md: human-readable legend matching failure indices to tasks and videos.metadata/light_conditions_low_l1_l3_failed_rerun_manifest.json: low-difficulty failed-task rerun manifest.metadata/eval_manifest.json: evaluation chunk configuration.logs/light_conditions_queue.log: full local queue log.
The grid videos intentionally group failures for quick visual inspection. The detailed mapping is in metadata/light_conditions_full_failure_grids.md and metadata/light_conditions_full_failure_grids.json.
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