Update LAGEN resource links after transfer to MLL-Lab
Browse files- README.md +15 -13
- experiments/context-window/deadly-corridor/README.md +1 -1
- experiments/context-window/deadly-corridor/manifest.json +0 -0
- experiments/context-window/demon-attack/README.md +1 -1
- experiments/context-window/demon-attack/manifest.json +0 -0
- experiments/context-window/flappy/README.md +1 -1
- experiments/context-window/flappy/manifest.json +0 -0
- experiments/latency-degradation/README.md +3 -3
- experiments/latency-degradation/deadly-corridor/manifest.json +9 -9
- experiments/latency-degradation/demon-attack/manifest.json +7 -7
- experiments/latency-degradation/flappy/manifest.json +5 -5
- experiments/latency-degradation/manifest.json +39 -39
- experiments/latency-degradation/mikasa-intercept-grab-fast/manifest.json +18 -18
- experiments/latency-degradation/paper/README.md +1 -1
- experiments/latency-in-prompt/flappy/README.md +2 -2
- experiments/latency-in-prompt/flappy/manifest.json +4 -4
- experiments/latency-transfer/demon-attack/README.md +5 -5
- experiments/latency-transfer/demon-attack/manifest.json +41 -41
- experiments/latency-transfer/flappy/README.md +12 -12
- experiments/latency-transfer/flappy/manifest.json +80 -80
- experiments/mean-vs-profile/ant/README.md +2 -2
- experiments/mean-vs-profile/ant/manifest.json +8 -8
- experiments/mean-vs-profile/deadly-corridor/README.md +2 -2
- experiments/mean-vs-profile/deadly-corridor/manifest.json +9 -9
- experiments/mean-vs-profile/flappy/README.md +2 -2
- experiments/mean-vs-profile/flappy/manifest.json +9 -9
- experiments/mean-vs-profile/intercept-grab-fast/README.md +2 -2
- experiments/mean-vs-profile/intercept-grab-fast/manifest.json +9 -9
- experiments/observation-stride/deadly-corridor/README.md +1 -1
- experiments/observation-stride/deadly-corridor/manifest.json +200 -200
- experiments/observation-stride/demon-attack/README.md +1 -1
- experiments/observation-stride/demon-attack/manifest.json +0 -0
- experiments/observation-stride/flappy/README.md +1 -1
- experiments/observation-stride/flappy/manifest.json +152 -152
- experiments/sim2real-calibration/manifest.json +114 -114
- experiments/sim2real-calibration/reproduction/program/SIM2REAL_RELEASE.md +2 -2
- experiments/sim2real-calibration/reproduction/scripts/experiments/sim2real/README.md +2 -2
- experiments/task-transfer/demon-attack/manifest.json +10 -10
- experiments/visual-history/deadly-corridor/README.md +5 -5
- experiments/visual-history/deadly-corridor/manifest.json +42 -42
- experiments/visual-history/demon-attack/README.md +6 -6
- experiments/visual-history/demon-attack/manifest.json +62 -62
- experiments/visual-history/flappy/README.md +6 -6
- experiments/visual-history/flappy/manifest.json +0 -0
- experiments/vla-finetuning-scope/flappy/manifest.json +29 -29
README.md
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download_size: 4492816871
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---
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# LAGEN
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Training data, episode-level evaluations and paper experiment manifests.
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| Experiment | Entry |
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| Sim2Real calibration | [30-case held-out calibration](https://huggingface.co/datasets/
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| Visual history | [Visual history](https://huggingface.co/datasets/
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| Latency in prompt | [Latency in prompt](https://huggingface.co/datasets/
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| Latency transfer | [Latency transfer](https://huggingface.co/datasets/
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| Task transfer | [Task transfer](https://huggingface.co/datasets/
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| VLA fine-tuning scope | [VLA fine-tuning scope](https://huggingface.co/datasets/
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| Mean vs. profile training | [Mean vs. profile training](https://huggingface.co/datasets/
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| Observation stride | [Observation stride](https://huggingface.co/datasets/
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| Context window | [Context window](https://huggingface.co/datasets/
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| Resource | Repository |
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| benchmark-models | [
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| profiles | [
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[Benchmark release inventory](reports/benchmark-release/README.md)
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## Consolidated historical sources
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[Source archive index](https://huggingface.co/datasets/
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Root `archive/` was retired on 2026-10-08. Current task datasets, formal evaluations and nested experiment archives retain their existing locations. Historical source inventories describe the earlier consolidation, not current download availability.
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download_size: 4492816871
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---
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# LAGEN datasets
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Project resources: [LAGEN collection](https://huggingface.co/collections/MLL-Lab/lagen-6ac750f21139008b8114fff5).
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Training data, episode-level evaluations and paper experiment manifests.
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| Experiment | Entry |
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| Sim2Real calibration | [30-case held-out calibration](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/50d8f0aef64749a849760fc580ce3efb3c5c5e76/experiments/sim2real-calibration) |
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| Visual history | [Visual history](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/visual-history) |
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| Latency in prompt | [Latency in prompt](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/latency-in-prompt) |
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| Latency transfer | [Latency transfer](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/latency-transfer) |
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| Task transfer | [Task transfer](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/task-transfer) |
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| VLA fine-tuning scope | [VLA fine-tuning scope](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/vla-finetuning-scope) |
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| Mean vs. profile training | [Mean vs. profile training](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/mean-vs-profile) |
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| Observation stride | [Observation stride](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/observation-stride) |
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| Context window | [Context window](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/experiments/context-window) |
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| Resource | Repository |
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| benchmark-models | [MLL-Lab/LAGEN-models](https://huggingface.co/MLL-Lab/LAGEN-models) |
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| profiles | [MLL-Lab/LAGEN-profiles](https://huggingface.co/datasets/MLL-Lab/LAGEN-profiles) |
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[Benchmark release inventory](reports/benchmark-release/README.md)
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## Consolidated historical sources
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[Source archive index](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/main/reports/source-repository-retirement-20261008) records the original dataset trees, exact fixed references, model metadata and coverage verification. These archives retain unresolved source bindings. Hardware records are in [profiles](https://huggingface.co/datasets/MLL-Lab/LAGEN-profiles/tree/8baa06beca7265b239f50826bc8cea0f989326ad/runs/archive/standard-pipeline).
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Root `archive/` was retired on 2026-10-08. Current task datasets, formal evaluations and nested experiment archives retain their existing locations. Historical source inventories describe the earlier consolidation, not current download availability.
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experiments/context-window/deadly-corridor/README.md
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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experiments/context-window/deadly-corridor/manifest.json
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experiments/context-window/demon-attack/README.md
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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experiments/context-window/demon-attack/manifest.json
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experiments/context-window/flappy/README.md
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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## Results and assets
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[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/context-window/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
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The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
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experiments/context-window/flappy/manifest.json
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experiments/latency-degradation/README.md
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Figure 2 contains nine game curves and six MIKASA curves. Its CSV stores 95 rows; the main panels plot 72 unique points. Insets repeat selected points.
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The [paper input snapshot](https://huggingface.co/datasets/
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## Checkpoint identities
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| MIKASA H1 | original SFT step 5000 | original SFT step 5000 | original SFT step 5000 |
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| MIKASA H8 | naive DAgger selected step 5000 | naive DAgger selected step 4000 | naive DAgger selected step 3000 |
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[manifest.json](manifest.json) records the exact source repositories, revisions, checkpoint paths, evidence paths and unresolved bindings. [Model source metadata](https://huggingface.co/
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All six game checkpoints are published in benchmark-models with unchanged SHA256 and size. The manifest records their fixed central revisions and original source references. Six existing central MIKASA checkpoints are reused.
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Seven game JSONs match their pinned remote sources. Each stored latency condition has 20 episodes, seeds 42–61, and verified return means. Two OpenVLA curves are transcriptions from the old plotting script; their original episode counts and checkpoint bindings are not confirmed.
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MIKASA has 30 conditions with 200 episodes each, seeds 4242424242–4242424441, simulated 20 Hz execution and a 60-transition limit. The [complete condition records](https://huggingface.co/datasets/
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Training data and evaluation data are separate. The paper reports 200 zero-latency training episodes for Flappy and Demon, and 1000 for Deadly. Exact original training-data revisions are missing for these old game runs. MIKASA H1 bootstrap data are fixed at benchmark-datasets@5421c9d272d7a939bb04045b047af84519c1fba8, `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1`. H8 uses the corresponding suffix-label conversion and student DAgger rollouts labeled by the PPO teacher. Original local DAgger data references remain explicit; no exact Hub revision is invented for those increments.
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Figure 2 contains nine game curves and six MIKASA curves. Its CSV stores 95 rows; the main panels plot 72 unique points. Insets repeat selected points.
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The [paper input snapshot](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/efeac490144ca9c94660e2410163415e0a8809a9/experiments/latency-degradation/paper) preserves the builder, plotter, CSV, raw JSONs and original rendered figure. The numerical figure inputs are unchanged.
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## Checkpoint identities
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| MIKASA H1 | original SFT step 5000 | original SFT step 5000 | original SFT step 5000 |
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| MIKASA H8 | naive DAgger selected step 5000 | naive DAgger selected step 4000 | naive DAgger selected step 3000 |
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[manifest.json](manifest.json) records the exact source repositories, revisions, checkpoint paths, evidence paths and unresolved bindings. [Model source metadata](https://huggingface.co/MLL-Lab/LAGEN-models/tree/3f10fc76b7cbaf0f88d600b57427ebc19c50ad0f/reports/latency-degradation-20261007) preserves the eight original configuration/statistics files available for the six game checkpoints.
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All six game checkpoints are published in benchmark-models with unchanged SHA256 and size. The manifest records their fixed central revisions and original source references. Six existing central MIKASA checkpoints are reused.
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Seven game JSONs match their pinned remote sources. Each stored latency condition has 20 episodes, seeds 42–61, and verified return means. Two OpenVLA curves are transcriptions from the old plotting script; their original episode counts and checkpoint bindings are not confirmed.
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MIKASA has 30 conditions with 200 episodes each, seeds 4242424242–4242424441, simulated 20 Hz execution and a 60-transition limit. The [complete condition records](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/efeac490144ca9c94660e2410163415e0a8809a9/evaluations/mikasa-intercept-grab-fast/latency-degradation) preserve episode records, action/step traces, latency records, configurations, summaries and completion records. The PI v3 H1 `interleave_self_attention: false` override is retained without changing weights.
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Training data and evaluation data are separate. The paper reports 200 zero-latency training episodes for Flappy and Demon, and 1000 for Deadly. Exact original training-data revisions are missing for these old game runs. MIKASA H1 bootstrap data are fixed at benchmark-datasets@5421c9d272d7a939bb04045b047af84519c1fba8, `zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1`. H8 uses the corresponding suffix-label conversion and student DAgger rollouts labeled by the PPO teacher. Original local DAgger data references remain explicit; no exact Hub revision is invented for those increments.
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"path": "zero-latency/deadly-corridor/vla/starvla-qwenoft-h1/openvla_bridge_deadly_corridor_single_latency_clean_data_bce_exp2/checkpoints/steps_500_model.safetensors",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"path": "evaluations/deadly-corridor/latency-degradation/qwenoft/step_500.json"
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"path": "reports/latency-degradation-20261007/models/deadly-corridor/openvla_bridge_deadly_corridor_single_latency_clean_data_bce_exp2",
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"revision": "66341335f4ead6429bbe8d5df4180a0040f9e0cd"
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"path": "zero-latency/deadly-corridor/vla/starvla-qwenpi_v3-h1/pi05_bridge_deadly_corridor_single_latency_clean_data_exp2/checkpoints/steps_500_model.safetensors",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"path": "evaluations/deadly-corridor/latency-degradation/qwenpi_v3/step_500.json"
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"available_metadata": [],
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"path": "reports/latency-degradation-20261007/models/deadly-corridor/pi05_bridge_deadly_corridor_single_latency_clean_data_exp2",
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"revision": "66341335f4ead6429bbe8d5df4180a0040f9e0cd"
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"path": "zero-latency/deadly-corridor/vla/starvla-qwengr00t-h1/gr00t_bridge_deadly_corridor_single_latency_clean_data_bce_exp2/checkpoints/steps_500_model.safetensors",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"path": "evaluations/deadly-corridor/latency-degradation/qwengr00t/step_500.json"
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"available_metadata": [],
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experiments/latency-degradation/mikasa-intercept-grab-fast/manifest.json
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@@ -39,7 +39,7 @@
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@@ -57,13 +57,13 @@
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@@ -87,7 +87,7 @@
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@@ -105,13 +105,13 @@
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| 105 |
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| 106 |
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| 107 |
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| 108 |
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| 109 |
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| 111 |
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|
| 112 |
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| 113 |
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|
| 114 |
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| 115 |
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| 117 |
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|
@@ -135,7 +135,7 @@
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| 135 |
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| 139 |
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@@ -157,13 +157,13 @@
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| 161 |
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| 163 |
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|
| 164 |
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| 165 |
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| 166 |
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| 167 |
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| 169 |
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@@ -187,7 +187,7 @@
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| 187 |
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| 188 |
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| 189 |
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| 190 |
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| 191 |
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| 192 |
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@@ -205,13 +205,13 @@
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_intercept_grab_fast_qwengr00t_formal_latest_r8gpu7_20260907T075003Z/checkpoints/model.pt"
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"repo": "
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"repo": "
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"repo": "
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h8/h8-naive-dagger-20260923/checkpoints/model.pt"
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"path": "evaluations/mikasa-intercept-grab-fast/latency-degradation/combined_results.json",
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"checkpoint_step": 5000,
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"checkpoint_binding": "confirmed_central",
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"repo": "MLL-Lab/LAGEN-models",
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"repo_type": "model",
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"revision": "56b2c095d76ea5b10dd304e6e03c2ca81801630b",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_intercept_grab_fast_qwenoft_formal_latest_r8gpu8_20260907T082154Z/checkpoints/model.pt"
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"repo_type": "dataset",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"path": "evaluations/mikasa-intercept-grab-fast/latency-degradation/combined_results.json",
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"executor": "simulated",
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"checkpoint_step": 5000,
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"checkpoint_binding": "confirmed_central",
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"repo_type": "model",
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"revision": "5b533937a72e9fa923ecf28b1c1be5a16bad488d",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h8/h8-naive-dagger-20260923/checkpoints/model.pt"
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},
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"repo": "MLL-Lab/LAGEN-datasets",
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"repo_type": "dataset",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"path": "evaluations/mikasa-intercept-grab-fast/latency-degradation/combined_results.json",
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"executor": "simulated",
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"repo_type": "model",
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"revision": "56b2c095d76ea5b10dd304e6e03c2ca81801630b",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwenpi_v3-h1/mikasa_intercept_grab_fast_qwenpi_v3_formal_latest_r8gpu8_20260907T082154Z/checkpoints/model.pt"
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},
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"repo_type": "dataset",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"executor": "simulated",
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"revision": "5b533937a72e9fa923ecf28b1c1be5a16bad488d",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwenpi_v3-h8/h8-naive-dagger-20260923/checkpoints/model.pt"
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"repo_type": "dataset",
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"executor": "simulated",
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"training_data": {
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"repo_type": "dataset",
|
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"repo": "MLL-Lab/LAGEN-models",
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"repo_type": "model",
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"revision": "56b2c095d76ea5b10dd304e6e03c2ca81801630b",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_intercept_grab_fast_qwengr00t_formal_latest_r8gpu7_20260907T075003Z/checkpoints/model.pt"
|
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},
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"repo": "MLL-Lab/LAGEN-datasets",
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"repo_type": "dataset",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"executor": "simulated",
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"training_data": {
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"repo": "MLL-Lab/LAGEN-datasets",
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"repo_type": "dataset",
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"revision": "5421c9d272d7a939bb04045b047af84519c1fba8",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
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"checkpoint_step": 3000,
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"repo": "MLL-Lab/LAGEN-models",
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"repo_type": "model",
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"revision": "5b533937a72e9fa923ecf28b1c1be5a16bad488d",
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"path": "zero-latency/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h8/h8-naive-dagger-20260923/checkpoints/model.pt"
|
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},
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"repo_type": "dataset",
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"revision": "efeac490144ca9c94660e2410163415e0a8809a9",
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"repo_type": "dataset",
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"path": "zero-latency/mikasa-intercept-grab-fast/teacher-rollouts-h1-state-v1"
|
experiments/latency-degradation/paper/README.md
CHANGED
|
@@ -41,7 +41,7 @@ All three H1 zero-delay evaluations are available here, with 200 episodes each,
|
|
| 41 |
21.447104194871223 (OFT), 20.56687915752911 (PI v3), and 23.257812902737324
|
| 42 |
(GR00T); success rates are 55%, 50%, and 63.5%.
|
| 43 |
|
| 44 |
-
The [HF follow-up publication](https://huggingface.co/
|
| 45 |
provides current `eval_l0.json` summaries, episode records, evaluation configs
|
| 46 |
and execution audits. Initial checkpoint-only receipts and the preceding PI
|
| 47 |
evaluation are retained under each bundle's `history/`; current provenance
|
|
|
|
| 41 |
21.447104194871223 (OFT), 20.56687915752911 (PI v3), and 23.257812902737324
|
| 42 |
(GR00T); success rates are 55%, 50%, and 63.5%.
|
| 43 |
|
| 44 |
+
The [HF follow-up publication](https://huggingface.co/MLL-Lab/LAGEN-models/tree/ed07a2206eaaf084132053f9264087b8a96a5e83/zero-latency/mikasa-intercept-grab-fast/vla)
|
| 45 |
provides current `eval_l0.json` summaries, episode records, evaluation configs
|
| 46 |
and execution audits. Initial checkpoint-only receipts and the preceding PI
|
| 47 |
evaluation are retained under each bundle's `history/`; current provenance
|
experiments/latency-in-prompt/flappy/README.md
CHANGED
|
@@ -2,8 +2,8 @@
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training | Evaluation |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| with_latency_prompt | [step 5000](https://huggingface.co/
|
| 6 |
-
| no_latency_information | [step 5000](https://huggingface.co/
|
| 7 |
|
| 8 |
The two sources reproduce all 200 paper episode returns. The episode horizon is 3600 raw frames. The source manifest records the 30-Hz frame convention. Both conditions use one training run.
|
| 9 |
|
|
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training | Evaluation |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| with_latency_prompt | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2/checkpoints) | Mixed L0–L4, 40 episodes per latency | 20 episodes per latency, L0–L4 |
|
| 6 |
+
| no_latency_information | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2_no_latency_information/checkpoints) | Mixed L0–L4, 40 episodes per latency | 20 episodes per latency, L0–L4 |
|
| 7 |
|
| 8 |
The two sources reproduce all 200 paper episode returns. The episode horizon is 3600 raw frames. The source manifest records the 30-Hz frame convention. Both conditions use one training run.
|
| 9 |
|
experiments/latency-in-prompt/flappy/manifest.json
CHANGED
|
@@ -5,12 +5,12 @@
|
|
| 5 |
{
|
| 6 |
"condition": "with_latency_prompt",
|
| 7 |
"checkpoint": {
|
| 8 |
-
"repo": "
|
| 9 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 10 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2/checkpoints/model.safetensors"
|
| 11 |
},
|
| 12 |
"evaluation": {
|
| 13 |
-
"repo": "
|
| 14 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 15 |
"path": "evaluations/flappy/openvla_bridge_flappy_latency_mixed_exp2/eval/post_train/step_5000.json"
|
| 16 |
},
|
|
@@ -56,12 +56,12 @@
|
|
| 56 |
{
|
| 57 |
"condition": "no_latency_information",
|
| 58 |
"checkpoint": {
|
| 59 |
-
"repo": "
|
| 60 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 61 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2_no_latency_information/checkpoints/model.safetensors"
|
| 62 |
},
|
| 63 |
"evaluation": {
|
| 64 |
-
"repo": "
|
| 65 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 66 |
"path": "evaluations/flappy/openvla_bridge_flappy_latency_mixed_exp2_no_latency_information/eval/post_train/step_5000.json"
|
| 67 |
},
|
|
|
|
| 5 |
{
|
| 6 |
"condition": "with_latency_prompt",
|
| 7 |
"checkpoint": {
|
| 8 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 9 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 10 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2/checkpoints/model.safetensors"
|
| 11 |
},
|
| 12 |
"evaluation": {
|
| 13 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 14 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 15 |
"path": "evaluations/flappy/openvla_bridge_flappy_latency_mixed_exp2/eval/post_train/step_5000.json"
|
| 16 |
},
|
|
|
|
| 56 |
{
|
| 57 |
"condition": "no_latency_information",
|
| 58 |
"checkpoint": {
|
| 59 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 60 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 61 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_latency_mixed_exp2_no_latency_information/checkpoints/model.safetensors"
|
| 62 |
},
|
| 63 |
"evaluation": {
|
| 64 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 65 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 66 |
"path": "evaluations/flappy/openvla_bridge_flappy_latency_mixed_exp2_no_latency_information/eval/post_train/step_5000.json"
|
| 67 |
},
|
experiments/latency-transfer/demon-attack/README.md
CHANGED
|
@@ -2,11 +2,11 @@
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| [demon_attack_fix_latency_0_200ep](https://huggingface.co/
|
| 6 |
-
| [demon_attack_fix_latency_2_200ep](https://huggingface.co/
|
| 7 |
-
| [demon_attack_fix_latency_4_200ep](https://huggingface.co/
|
| 8 |
-
| [demon_attack_fix_latency_6_200ep](https://huggingface.co/
|
| 9 |
-
| [demon_attack_fix_latency_8_200ep](https://huggingface.co/
|
| 10 |
|
| 11 |
## Training and evaluation settings
|
| 12 |
|
|
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| [demon_attack_fix_latency_0_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep) | , target latency unit not recorded in source config | steps_7000_model.safetensors | complete_bundle |
|
| 6 |
+
| [demon_attack_fix_latency_2_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_2_200ep) | , target latency unit not recorded in source config | steps_7000_model.safetensors | complete_bundle |
|
| 7 |
+
| [demon_attack_fix_latency_4_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_4_200ep) | , target latency unit not recorded in source config | steps_7000_model.safetensors | complete_bundle |
|
| 8 |
+
| [demon_attack_fix_latency_6_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep) | , target latency unit not recorded in source config | steps_7000_model.safetensors | complete_bundle |
|
| 9 |
+
| [demon_attack_fix_latency_8_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_8_200ep) | , target latency unit not recorded in source config | steps_7000_model.safetensors | complete_bundle |
|
| 10 |
|
| 11 |
## Training and evaluation settings
|
| 12 |
|
experiments/latency-transfer/demon-attack/manifest.json
CHANGED
|
@@ -11,13 +11,13 @@
|
|
| 11 |
},
|
| 12 |
"checkpoint": [
|
| 13 |
{
|
| 14 |
-
"repo": "
|
| 15 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 16 |
"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep/checkpoints/steps_7000_model.safetensors"
|
| 17 |
}
|
| 18 |
],
|
| 19 |
"metadata": {
|
| 20 |
-
"repo": "
|
| 21 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 22 |
"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep"
|
| 23 |
},
|
|
@@ -81,12 +81,12 @@
|
|
| 81 |
],
|
| 82 |
"evaluation_evidence": {
|
| 83 |
"episodes": {
|
| 84 |
-
"repo": "
|
| 85 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 86 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 87 |
},
|
| 88 |
"source_manifest": {
|
| 89 |
-
"repo": "
|
| 90 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 91 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 92 |
},
|
|
@@ -103,13 +103,13 @@
|
|
| 103 |
},
|
| 104 |
"checkpoint": [
|
| 105 |
{
|
| 106 |
-
"repo": "
|
| 107 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 108 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_2_200ep/checkpoints/steps_7000_model.safetensors"
|
| 109 |
}
|
| 110 |
],
|
| 111 |
"metadata": {
|
| 112 |
-
"repo": "
|
| 113 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 114 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_2_200ep"
|
| 115 |
},
|
|
@@ -173,12 +173,12 @@
|
|
| 173 |
],
|
| 174 |
"evaluation_evidence": {
|
| 175 |
"episodes": {
|
| 176 |
-
"repo": "
|
| 177 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 178 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 179 |
},
|
| 180 |
"source_manifest": {
|
| 181 |
-
"repo": "
|
| 182 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 183 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 184 |
},
|
|
@@ -195,13 +195,13 @@
|
|
| 195 |
},
|
| 196 |
"checkpoint": [
|
| 197 |
{
|
| 198 |
-
"repo": "
|
| 199 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 200 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_4_200ep/checkpoints/steps_7000_model.safetensors"
|
| 201 |
}
|
| 202 |
],
|
| 203 |
"metadata": {
|
| 204 |
-
"repo": "
|
| 205 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 206 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_4_200ep"
|
| 207 |
},
|
|
@@ -265,12 +265,12 @@
|
|
| 265 |
],
|
| 266 |
"evaluation_evidence": {
|
| 267 |
"episodes": {
|
| 268 |
-
"repo": "
|
| 269 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 270 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 271 |
},
|
| 272 |
"source_manifest": {
|
| 273 |
-
"repo": "
|
| 274 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 275 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 276 |
},
|
|
@@ -287,13 +287,13 @@
|
|
| 287 |
},
|
| 288 |
"checkpoint": [
|
| 289 |
{
|
| 290 |
-
"repo": "
|
| 291 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 292 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep/checkpoints/steps_7000_model.safetensors"
|
| 293 |
}
|
| 294 |
],
|
| 295 |
"metadata": {
|
| 296 |
-
"repo": "
|
| 297 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 298 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep"
|
| 299 |
},
|
|
@@ -357,12 +357,12 @@
|
|
| 357 |
],
|
| 358 |
"evaluation_evidence": {
|
| 359 |
"episodes": {
|
| 360 |
-
"repo": "
|
| 361 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 362 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 363 |
},
|
| 364 |
"source_manifest": {
|
| 365 |
-
"repo": "
|
| 366 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 367 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 368 |
},
|
|
@@ -379,13 +379,13 @@
|
|
| 379 |
},
|
| 380 |
"checkpoint": [
|
| 381 |
{
|
| 382 |
-
"repo": "
|
| 383 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 384 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_8_200ep/checkpoints/steps_7000_model.safetensors"
|
| 385 |
}
|
| 386 |
],
|
| 387 |
"metadata": {
|
| 388 |
-
"repo": "
|
| 389 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 390 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_8_200ep"
|
| 391 |
},
|
|
@@ -449,12 +449,12 @@
|
|
| 449 |
],
|
| 450 |
"evaluation_evidence": {
|
| 451 |
"episodes": {
|
| 452 |
-
"repo": "
|
| 453 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 454 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 455 |
},
|
| 456 |
"source_manifest": {
|
| 457 |
-
"repo": "
|
| 458 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 459 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 460 |
},
|
|
@@ -474,7 +474,7 @@
|
|
| 474 |
"prefix": "zero-latency/demon-attack/demon_attack_200ep/demon_attack_fix_latency_0_200ep",
|
| 475 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_0_200ep",
|
| 476 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 477 |
-
"repo": "
|
| 478 |
},
|
| 479 |
{
|
| 480 |
"experiment": "latency-transfer",
|
|
@@ -485,7 +485,7 @@
|
|
| 485 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_2_200ep",
|
| 486 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_2_200ep",
|
| 487 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 488 |
-
"repo": "
|
| 489 |
},
|
| 490 |
{
|
| 491 |
"experiment": "latency-transfer",
|
|
@@ -496,7 +496,7 @@
|
|
| 496 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_4_200ep",
|
| 497 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_4_200ep",
|
| 498 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 499 |
-
"repo": "
|
| 500 |
},
|
| 501 |
{
|
| 502 |
"experiment": "latency-transfer",
|
|
@@ -507,7 +507,7 @@
|
|
| 507 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_6_200ep",
|
| 508 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_6_200ep",
|
| 509 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 510 |
-
"repo": "
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"experiment": "latency-transfer",
|
|
@@ -518,7 +518,7 @@
|
|
| 518 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_8_200ep",
|
| 519 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_8_200ep",
|
| 520 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 521 |
-
"repo": "
|
| 522 |
},
|
| 523 |
{
|
| 524 |
"experiment": "latency-transfer",
|
|
@@ -529,7 +529,7 @@
|
|
| 529 |
"prefix": "zero-latency/demon-attack/demon_attack_fix_latency_0/data",
|
| 530 |
"config_name": "demon_attack_fix_latency_0",
|
| 531 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 532 |
-
"repo": "
|
| 533 |
},
|
| 534 |
{
|
| 535 |
"experiment": "latency-transfer",
|
|
@@ -540,7 +540,7 @@
|
|
| 540 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_1/data",
|
| 541 |
"config_name": "demon_attack_fix_latency_1",
|
| 542 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 543 |
-
"repo": "
|
| 544 |
},
|
| 545 |
{
|
| 546 |
"experiment": "latency-transfer",
|
|
@@ -551,7 +551,7 @@
|
|
| 551 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_10/data",
|
| 552 |
"config_name": "demon_attack_fix_latency_10",
|
| 553 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 554 |
-
"repo": "
|
| 555 |
},
|
| 556 |
{
|
| 557 |
"experiment": "latency-transfer",
|
|
@@ -562,7 +562,7 @@
|
|
| 562 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_11/data",
|
| 563 |
"config_name": "demon_attack_fix_latency_11",
|
| 564 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 565 |
-
"repo": "
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"experiment": "latency-transfer",
|
|
@@ -573,7 +573,7 @@
|
|
| 573 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_12/data",
|
| 574 |
"config_name": "demon_attack_fix_latency_12",
|
| 575 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 576 |
-
"repo": "
|
| 577 |
},
|
| 578 |
{
|
| 579 |
"experiment": "latency-transfer",
|
|
@@ -584,7 +584,7 @@
|
|
| 584 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_13/data",
|
| 585 |
"config_name": "demon_attack_fix_latency_13",
|
| 586 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 587 |
-
"repo": "
|
| 588 |
},
|
| 589 |
{
|
| 590 |
"experiment": "latency-transfer",
|
|
@@ -595,7 +595,7 @@
|
|
| 595 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_14/data",
|
| 596 |
"config_name": "demon_attack_fix_latency_14",
|
| 597 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 598 |
-
"repo": "
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"experiment": "latency-transfer",
|
|
@@ -606,7 +606,7 @@
|
|
| 606 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_15/data",
|
| 607 |
"config_name": "demon_attack_fix_latency_15",
|
| 608 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 609 |
-
"repo": "
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"experiment": "latency-transfer",
|
|
@@ -617,7 +617,7 @@
|
|
| 617 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_2/data",
|
| 618 |
"config_name": "demon_attack_fix_latency_2",
|
| 619 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 620 |
-
"repo": "
|
| 621 |
},
|
| 622 |
{
|
| 623 |
"experiment": "latency-transfer",
|
|
@@ -628,7 +628,7 @@
|
|
| 628 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_3/data",
|
| 629 |
"config_name": "demon_attack_fix_latency_3",
|
| 630 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 631 |
-
"repo": "
|
| 632 |
},
|
| 633 |
{
|
| 634 |
"experiment": "latency-transfer",
|
|
@@ -639,7 +639,7 @@
|
|
| 639 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_4/data",
|
| 640 |
"config_name": "demon_attack_fix_latency_4",
|
| 641 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 642 |
-
"repo": "
|
| 643 |
},
|
| 644 |
{
|
| 645 |
"experiment": "latency-transfer",
|
|
@@ -650,7 +650,7 @@
|
|
| 650 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_5/data",
|
| 651 |
"config_name": "demon_attack_fix_latency_5",
|
| 652 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 653 |
-
"repo": "
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"experiment": "latency-transfer",
|
|
@@ -661,7 +661,7 @@
|
|
| 661 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_6/data",
|
| 662 |
"config_name": "demon_attack_fix_latency_6",
|
| 663 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 664 |
-
"repo": "
|
| 665 |
},
|
| 666 |
{
|
| 667 |
"experiment": "latency-transfer",
|
|
@@ -672,7 +672,7 @@
|
|
| 672 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_7/data",
|
| 673 |
"config_name": "demon_attack_fix_latency_7",
|
| 674 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 675 |
-
"repo": "
|
| 676 |
},
|
| 677 |
{
|
| 678 |
"experiment": "latency-transfer",
|
|
@@ -683,7 +683,7 @@
|
|
| 683 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_8/data",
|
| 684 |
"config_name": "demon_attack_fix_latency_8",
|
| 685 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 686 |
-
"repo": "
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"experiment": "latency-transfer",
|
|
@@ -694,7 +694,7 @@
|
|
| 694 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_9/data",
|
| 695 |
"config_name": "demon_attack_fix_latency_9",
|
| 696 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 697 |
-
"repo": "
|
| 698 |
}
|
| 699 |
]
|
| 700 |
}
|
|
|
|
| 11 |
},
|
| 12 |
"checkpoint": [
|
| 13 |
{
|
| 14 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 15 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 16 |
"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep/checkpoints/steps_7000_model.safetensors"
|
| 17 |
}
|
| 18 |
],
|
| 19 |
"metadata": {
|
| 20 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 21 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 22 |
"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep"
|
| 23 |
},
|
|
|
|
| 81 |
],
|
| 82 |
"evaluation_evidence": {
|
| 83 |
"episodes": {
|
| 84 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 85 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 86 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 87 |
},
|
| 88 |
"source_manifest": {
|
| 89 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 90 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 91 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 92 |
},
|
|
|
|
| 103 |
},
|
| 104 |
"checkpoint": [
|
| 105 |
{
|
| 106 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 107 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 108 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_2_200ep/checkpoints/steps_7000_model.safetensors"
|
| 109 |
}
|
| 110 |
],
|
| 111 |
"metadata": {
|
| 112 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 113 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 114 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_2_200ep"
|
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},
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],
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"evaluation_evidence": {
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"episodes": {
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
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},
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"source_manifest": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
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},
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},
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"checkpoint": [
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{
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"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 200 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_4_200ep/checkpoints/steps_7000_model.safetensors"
|
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}
|
| 202 |
],
|
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"metadata": {
|
| 204 |
+
"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_4_200ep"
|
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},
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],
|
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"evaluation_evidence": {
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"episodes": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 269 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 270 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
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},
|
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"source_manifest": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
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},
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},
|
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"checkpoint": [
|
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{
|
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"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 292 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep/checkpoints/steps_7000_model.safetensors"
|
| 293 |
}
|
| 294 |
],
|
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"metadata": {
|
| 296 |
+
"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep"
|
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},
|
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],
|
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"evaluation_evidence": {
|
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"episodes": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 361 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 362 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 363 |
},
|
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"source_manifest": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 366 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
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},
|
|
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|
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},
|
| 380 |
"checkpoint": [
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 384 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_8_200ep/checkpoints/steps_7000_model.safetensors"
|
| 385 |
}
|
| 386 |
],
|
| 387 |
"metadata": {
|
| 388 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 389 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 390 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_8_200ep"
|
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},
|
|
|
|
| 449 |
],
|
| 450 |
"evaluation_evidence": {
|
| 451 |
"episodes": {
|
| 452 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 453 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 454 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/episodes.csv"
|
| 455 |
},
|
| 456 |
"source_manifest": {
|
| 457 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 458 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 459 |
"path": "evaluations/demon-attack/latency-transfer-qwenoft/source_manifest.csv"
|
| 460 |
},
|
|
|
|
| 474 |
"prefix": "zero-latency/demon-attack/demon_attack_200ep/demon_attack_fix_latency_0_200ep",
|
| 475 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_0_200ep",
|
| 476 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 477 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 478 |
},
|
| 479 |
{
|
| 480 |
"experiment": "latency-transfer",
|
|
|
|
| 485 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_2_200ep",
|
| 486 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_2_200ep",
|
| 487 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 488 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 489 |
},
|
| 490 |
{
|
| 491 |
"experiment": "latency-transfer",
|
|
|
|
| 496 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_4_200ep",
|
| 497 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_4_200ep",
|
| 498 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 499 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 500 |
},
|
| 501 |
{
|
| 502 |
"experiment": "latency-transfer",
|
|
|
|
| 507 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_6_200ep",
|
| 508 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_6_200ep",
|
| 509 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 510 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"experiment": "latency-transfer",
|
|
|
|
| 518 |
"prefix": "latency-aware/demon-attack/demon_attack_200ep/demon_attack_fix_latency_8_200ep",
|
| 519 |
"config_name": "demon_attack_200ep__demon_attack_fix_latency_8_200ep",
|
| 520 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 521 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 522 |
},
|
| 523 |
{
|
| 524 |
"experiment": "latency-transfer",
|
|
|
|
| 529 |
"prefix": "zero-latency/demon-attack/demon_attack_fix_latency_0/data",
|
| 530 |
"config_name": "demon_attack_fix_latency_0",
|
| 531 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 532 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 533 |
},
|
| 534 |
{
|
| 535 |
"experiment": "latency-transfer",
|
|
|
|
| 540 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_1/data",
|
| 541 |
"config_name": "demon_attack_fix_latency_1",
|
| 542 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 543 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 544 |
},
|
| 545 |
{
|
| 546 |
"experiment": "latency-transfer",
|
|
|
|
| 551 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_10/data",
|
| 552 |
"config_name": "demon_attack_fix_latency_10",
|
| 553 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 554 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 555 |
},
|
| 556 |
{
|
| 557 |
"experiment": "latency-transfer",
|
|
|
|
| 562 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_11/data",
|
| 563 |
"config_name": "demon_attack_fix_latency_11",
|
| 564 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"experiment": "latency-transfer",
|
|
|
|
| 573 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_12/data",
|
| 574 |
"config_name": "demon_attack_fix_latency_12",
|
| 575 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 577 |
},
|
| 578 |
{
|
| 579 |
"experiment": "latency-transfer",
|
|
|
|
| 584 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_13/data",
|
| 585 |
"config_name": "demon_attack_fix_latency_13",
|
| 586 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 587 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 588 |
},
|
| 589 |
{
|
| 590 |
"experiment": "latency-transfer",
|
|
|
|
| 595 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_14/data",
|
| 596 |
"config_name": "demon_attack_fix_latency_14",
|
| 597 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 598 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 599 |
},
|
| 600 |
{
|
| 601 |
"experiment": "latency-transfer",
|
|
|
|
| 606 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_15/data",
|
| 607 |
"config_name": "demon_attack_fix_latency_15",
|
| 608 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 609 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"experiment": "latency-transfer",
|
|
|
|
| 617 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_2/data",
|
| 618 |
"config_name": "demon_attack_fix_latency_2",
|
| 619 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 620 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 621 |
},
|
| 622 |
{
|
| 623 |
"experiment": "latency-transfer",
|
|
|
|
| 628 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_3/data",
|
| 629 |
"config_name": "demon_attack_fix_latency_3",
|
| 630 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 631 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 632 |
},
|
| 633 |
{
|
| 634 |
"experiment": "latency-transfer",
|
|
|
|
| 639 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_4/data",
|
| 640 |
"config_name": "demon_attack_fix_latency_4",
|
| 641 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 642 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 643 |
},
|
| 644 |
{
|
| 645 |
"experiment": "latency-transfer",
|
|
|
|
| 650 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_5/data",
|
| 651 |
"config_name": "demon_attack_fix_latency_5",
|
| 652 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 653 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"experiment": "latency-transfer",
|
|
|
|
| 661 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_6/data",
|
| 662 |
"config_name": "demon_attack_fix_latency_6",
|
| 663 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 664 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 665 |
},
|
| 666 |
{
|
| 667 |
"experiment": "latency-transfer",
|
|
|
|
| 672 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_7/data",
|
| 673 |
"config_name": "demon_attack_fix_latency_7",
|
| 674 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 675 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 676 |
},
|
| 677 |
{
|
| 678 |
"experiment": "latency-transfer",
|
|
|
|
| 683 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_8/data",
|
| 684 |
"config_name": "demon_attack_fix_latency_8",
|
| 685 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 686 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 687 |
},
|
| 688 |
{
|
| 689 |
"experiment": "latency-transfer",
|
|
|
|
| 694 |
"prefix": "latency-aware/demon-attack/demon_attack_fix_latency_9/data",
|
| 695 |
"config_name": "demon_attack_fix_latency_9",
|
| 696 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 697 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 698 |
}
|
| 699 |
]
|
| 700 |
}
|
experiments/latency-transfer/flappy/README.md
CHANGED
|
@@ -2,18 +2,18 @@
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| [flappy_curriculum_cumulative_40ep_per_latency](https://huggingface.co/
|
| 6 |
-
| [flappy_curriculum_exclusive_40ep_per_latency](https://huggingface.co/
|
| 7 |
-
| [flappy_fix_latency_0_200ep](https://huggingface.co/
|
| 8 |
-
| [flappy_fix_latency_1_200ep](https://huggingface.co/
|
| 9 |
-
| [flappy_fix_latency_2_200ep](https://huggingface.co/
|
| 10 |
-
| [flappy_fix_latency_3_200ep](https://huggingface.co/
|
| 11 |
-
| [flappy_fix_latency_4_200ep](https://huggingface.co/
|
| 12 |
-
| [wan_oft_flappy_fix_latency_0_context5_2000_effbs128](https://huggingface.co/
|
| 13 |
-
| [wan_oft_flappy_fix_latency_1_context5_2000_effbs128](https://huggingface.co/
|
| 14 |
-
| [wan_oft_flappy_fix_latency_2_context5_2000_effbs128](https://huggingface.co/
|
| 15 |
-
| [wan_oft_flappy_fix_latency_3_context5_2000_effbs128](https://huggingface.co/
|
| 16 |
-
| [wan_oft_flappy_fix_latency_4_context5_2000_effbs128](https://huggingface.co/
|
| 17 |
|
| 18 |
## Training and evaluation settings
|
| 19 |
|
|
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| [flappy_curriculum_cumulative_40ep_per_latency](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_cumulative_40ep_per_latency) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 6 |
+
| [flappy_curriculum_exclusive_40ep_per_latency](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_exclusive_40ep_per_latency) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 7 |
+
| [flappy_fix_latency_0_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/zero-latency/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_0_200ep) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 8 |
+
| [flappy_fix_latency_1_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_1_200ep) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 9 |
+
| [flappy_fix_latency_2_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 10 |
+
| [flappy_fix_latency_3_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 11 |
+
| [flappy_fix_latency_4_200ep](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_4_200ep) | , target latency unit not recorded in source config | steps_5000_model.safetensors | complete_bundle |
|
| 12 |
+
| [wan_oft_flappy_fix_latency_0_context5_2000_effbs128](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/zero-latency/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_0_context5_2000_effbs128) | image_mode=single, num_obs_frames=1, target latency unit not recorded in source config | steps_2000_pytorch_model.pt | complete_bundle |
|
| 13 |
+
| [wan_oft_flappy_fix_latency_1_context5_2000_effbs128](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_1_context5_2000_effbs128) | image_mode=single, num_obs_frames=1, target latency unit not recorded in source config | steps_2000_pytorch_model.pt | complete_bundle |
|
| 14 |
+
| [wan_oft_flappy_fix_latency_2_context5_2000_effbs128](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_2_context5_2000_effbs128) | image_mode=single, num_obs_frames=1, target latency unit not recorded in source config | steps_2000_pytorch_model.pt | complete_bundle |
|
| 15 |
+
| [wan_oft_flappy_fix_latency_3_context5_2000_effbs128](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_3_context5_2000_effbs128) | image_mode=single, num_obs_frames=1, target latency unit not recorded in source config | steps_2000_pytorch_model.pt | complete_bundle |
|
| 16 |
+
| [wan_oft_flappy_fix_latency_4_context5_2000_effbs128](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_4_context5_2000_effbs128) | image_mode=single, num_obs_frames=1, target latency unit not recorded in source config | steps_2000_pytorch_model.pt | complete_bundle |
|
| 17 |
|
| 18 |
## Training and evaluation settings
|
| 19 |
|
experiments/latency-transfer/flappy/manifest.json
CHANGED
|
@@ -11,13 +11,13 @@
|
|
| 11 |
},
|
| 12 |
"checkpoint": [
|
| 13 |
{
|
| 14 |
-
"repo": "
|
| 15 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 16 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_cumulative_40ep_per_latency/checkpoints/steps_5000_model.safetensors"
|
| 17 |
}
|
| 18 |
],
|
| 19 |
"metadata": {
|
| 20 |
-
"repo": "
|
| 21 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 22 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_cumulative_40ep_per_latency"
|
| 23 |
},
|
|
@@ -81,12 +81,12 @@
|
|
| 81 |
],
|
| 82 |
"evaluation_evidence": {
|
| 83 |
"episodes": {
|
| 84 |
-
"repo": "
|
| 85 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 86 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 87 |
},
|
| 88 |
"source_manifest": {
|
| 89 |
-
"repo": "
|
| 90 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 91 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 92 |
},
|
|
@@ -103,13 +103,13 @@
|
|
| 103 |
},
|
| 104 |
"checkpoint": [
|
| 105 |
{
|
| 106 |
-
"repo": "
|
| 107 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 108 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_exclusive_40ep_per_latency/checkpoints/steps_5000_model.safetensors"
|
| 109 |
}
|
| 110 |
],
|
| 111 |
"metadata": {
|
| 112 |
-
"repo": "
|
| 113 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 114 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_exclusive_40ep_per_latency"
|
| 115 |
},
|
|
@@ -173,12 +173,12 @@
|
|
| 173 |
],
|
| 174 |
"evaluation_evidence": {
|
| 175 |
"episodes": {
|
| 176 |
-
"repo": "
|
| 177 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 178 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 179 |
},
|
| 180 |
"source_manifest": {
|
| 181 |
-
"repo": "
|
| 182 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 183 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 184 |
},
|
|
@@ -195,13 +195,13 @@
|
|
| 195 |
},
|
| 196 |
"checkpoint": [
|
| 197 |
{
|
| 198 |
-
"repo": "
|
| 199 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 200 |
"path": "zero-latency/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_0_200ep/checkpoints/steps_5000_model.safetensors"
|
| 201 |
}
|
| 202 |
],
|
| 203 |
"metadata": {
|
| 204 |
-
"repo": "
|
| 205 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 206 |
"path": "zero-latency/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_0_200ep"
|
| 207 |
},
|
|
@@ -263,12 +263,12 @@
|
|
| 263 |
],
|
| 264 |
"evaluation_evidence": {
|
| 265 |
"episodes": {
|
| 266 |
-
"repo": "
|
| 267 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 268 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 269 |
},
|
| 270 |
"source_manifest": {
|
| 271 |
-
"repo": "
|
| 272 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 273 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 274 |
},
|
|
@@ -285,13 +285,13 @@
|
|
| 285 |
},
|
| 286 |
"checkpoint": [
|
| 287 |
{
|
| 288 |
-
"repo": "
|
| 289 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 290 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_1_200ep/checkpoints/steps_5000_model.safetensors"
|
| 291 |
}
|
| 292 |
],
|
| 293 |
"metadata": {
|
| 294 |
-
"repo": "
|
| 295 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 296 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_1_200ep"
|
| 297 |
},
|
|
@@ -353,12 +353,12 @@
|
|
| 353 |
],
|
| 354 |
"evaluation_evidence": {
|
| 355 |
"episodes": {
|
| 356 |
-
"repo": "
|
| 357 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 358 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 359 |
},
|
| 360 |
"source_manifest": {
|
| 361 |
-
"repo": "
|
| 362 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 363 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 364 |
},
|
|
@@ -375,13 +375,13 @@
|
|
| 375 |
},
|
| 376 |
"checkpoint": [
|
| 377 |
{
|
| 378 |
-
"repo": "
|
| 379 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 380 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep/checkpoints/steps_5000_model.safetensors"
|
| 381 |
}
|
| 382 |
],
|
| 383 |
"metadata": {
|
| 384 |
-
"repo": "
|
| 385 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 386 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep"
|
| 387 |
},
|
|
@@ -444,12 +444,12 @@
|
|
| 444 |
],
|
| 445 |
"evaluation_evidence": {
|
| 446 |
"episodes": {
|
| 447 |
-
"repo": "
|
| 448 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 449 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 450 |
},
|
| 451 |
"source_manifest": {
|
| 452 |
-
"repo": "
|
| 453 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 454 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 455 |
},
|
|
@@ -466,13 +466,13 @@
|
|
| 466 |
},
|
| 467 |
"checkpoint": [
|
| 468 |
{
|
| 469 |
-
"repo": "
|
| 470 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 471 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep/checkpoints/steps_5000_model.safetensors"
|
| 472 |
}
|
| 473 |
],
|
| 474 |
"metadata": {
|
| 475 |
-
"repo": "
|
| 476 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 477 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep"
|
| 478 |
},
|
|
@@ -535,12 +535,12 @@
|
|
| 535 |
],
|
| 536 |
"evaluation_evidence": {
|
| 537 |
"episodes": {
|
| 538 |
-
"repo": "
|
| 539 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 540 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 541 |
},
|
| 542 |
"source_manifest": {
|
| 543 |
-
"repo": "
|
| 544 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 545 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 546 |
},
|
|
@@ -557,13 +557,13 @@
|
|
| 557 |
},
|
| 558 |
"checkpoint": [
|
| 559 |
{
|
| 560 |
-
"repo": "
|
| 561 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 562 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_4_200ep/checkpoints/steps_5000_model.safetensors"
|
| 563 |
}
|
| 564 |
],
|
| 565 |
"metadata": {
|
| 566 |
-
"repo": "
|
| 567 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 568 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_4_200ep"
|
| 569 |
},
|
|
@@ -626,12 +626,12 @@
|
|
| 626 |
],
|
| 627 |
"evaluation_evidence": {
|
| 628 |
"episodes": {
|
| 629 |
-
"repo": "
|
| 630 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 631 |
"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
|
| 632 |
},
|
| 633 |
"source_manifest": {
|
| 634 |
-
"repo": "
|
| 635 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 636 |
"path": "evaluations/flappy/latency-transfer-qwenoft/source_manifest.csv"
|
| 637 |
},
|
|
@@ -648,19 +648,19 @@
|
|
| 648 |
},
|
| 649 |
"checkpoint": [
|
| 650 |
{
|
| 651 |
-
"repo": "
|
| 652 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 653 |
"path": "zero-latency/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_0_context5_2000_effbs128/checkpoints/steps_2000_pytorch_model.pt"
|
| 654 |
}
|
| 655 |
],
|
| 656 |
"metadata": {
|
| 657 |
-
"repo": "
|
| 658 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 659 |
"path": "zero-latency/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_0_context5_2000_effbs128"
|
| 660 |
},
|
| 661 |
"evaluation": [
|
| 662 |
{
|
| 663 |
-
"repo": "
|
| 664 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 665 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_0_context5_2000_effbs128/eval/post_train/step_2000.json"
|
| 666 |
}
|
|
@@ -681,7 +681,7 @@
|
|
| 681 |
"checkpoint_identity": "daa8a61baa149139792808dcfc5406df766d39113161b92d0baa13a9bd2402f4",
|
| 682 |
"source_model_revision": "1ba5d2f489f03f9cb07a637ca680fa4f2f8e51a4",
|
| 683 |
"dataset": {
|
| 684 |
-
"repo": "
|
| 685 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 686 |
"path": "zero-latency/flappy/flappy_fix_latency_0_200ep_context5",
|
| 687 |
"source_repo": "latency-sensitive-bench/flappy_200ep_context5",
|
|
@@ -699,7 +699,7 @@
|
|
| 699 |
],
|
| 700 |
"training_data": [
|
| 701 |
{
|
| 702 |
-
"repo": "
|
| 703 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 704 |
"path": "zero-latency/flappy/flappy_fix_latency_0_200ep_context5"
|
| 705 |
}
|
|
@@ -713,39 +713,39 @@
|
|
| 713 |
},
|
| 714 |
"checkpoint": [
|
| 715 |
{
|
| 716 |
-
"repo": "
|
| 717 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 718 |
"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/checkpoints/steps_2000_pytorch_model.pt"
|
| 719 |
}
|
| 720 |
],
|
| 721 |
"metadata": {
|
| 722 |
-
"repo": "
|
| 723 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 724 |
"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_1_context5_2000_effbs128"
|
| 725 |
},
|
| 726 |
"evaluation": [
|
| 727 |
{
|
| 728 |
-
"repo": "
|
| 729 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 730 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/eval/mid_train/step_1000.json"
|
| 731 |
},
|
| 732 |
{
|
| 733 |
-
"repo": "
|
| 734 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 735 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/eval/mid_train/step_1500.json"
|
| 736 |
},
|
| 737 |
{
|
| 738 |
-
"repo": "
|
| 739 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 740 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/eval/mid_train/step_2000.json"
|
| 741 |
},
|
| 742 |
{
|
| 743 |
-
"repo": "
|
| 744 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 745 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/eval/mid_train/step_500.json"
|
| 746 |
},
|
| 747 |
{
|
| 748 |
-
"repo": "
|
| 749 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 750 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_1_context5_2000_effbs128/eval/post_train/step_2000.json"
|
| 751 |
}
|
|
@@ -766,7 +766,7 @@
|
|
| 766 |
"checkpoint_identity": "ca01daf3e577fedcc238882e531c748f6a5c178934ca7cc7209da18eb24ff03f",
|
| 767 |
"source_model_revision": "1ba5d2f489f03f9cb07a637ca680fa4f2f8e51a4",
|
| 768 |
"dataset": {
|
| 769 |
-
"repo": "
|
| 770 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 771 |
"path": "latency-aware/flappy/flappy_fix_latency_1_200ep_context5",
|
| 772 |
"source_repo": "latency-sensitive-bench/flappy_200ep_context5",
|
|
@@ -784,7 +784,7 @@
|
|
| 784 |
],
|
| 785 |
"training_data": [
|
| 786 |
{
|
| 787 |
-
"repo": "
|
| 788 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 789 |
"path": "latency-aware/flappy/flappy_fix_latency_1_200ep_context5"
|
| 790 |
}
|
|
@@ -798,19 +798,19 @@
|
|
| 798 |
},
|
| 799 |
"checkpoint": [
|
| 800 |
{
|
| 801 |
-
"repo": "
|
| 802 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 803 |
"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_2_context5_2000_effbs128/checkpoints/steps_2000_pytorch_model.pt"
|
| 804 |
}
|
| 805 |
],
|
| 806 |
"metadata": {
|
| 807 |
-
"repo": "
|
| 808 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 809 |
"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_2_context5_2000_effbs128"
|
| 810 |
},
|
| 811 |
"evaluation": [
|
| 812 |
{
|
| 813 |
-
"repo": "
|
| 814 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 815 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_2_context5_2000_effbs128/eval/post_train/step_2000.json"
|
| 816 |
}
|
|
@@ -831,7 +831,7 @@
|
|
| 831 |
"checkpoint_identity": "328140abd4682a66cb56cdbe03524f6c7af534e2c9ac2bd23ac1c9691363957a",
|
| 832 |
"source_model_revision": "1ba5d2f489f03f9cb07a637ca680fa4f2f8e51a4",
|
| 833 |
"dataset": {
|
| 834 |
-
"repo": "
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"path": "latency-aware/flappy/flappy_fix_latency_2_200ep_context5",
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"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_3_context5_2000_effbs128/checkpoints/steps_2000_pytorch_model.pt"
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"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_3_context5_2000_effbs128"
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"checkpoint_identity": "d5940d8ea363b40611f391103534da4d13dd7204e43024079c56eb2f34322bcc",
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"path": "latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/checkpoints/steps_2000_pytorch_model.pt"
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"checkpoint_identity": "05a1c777b84de4f2b66a2db1a13eb7b1aa326167eabb30ddf50bd149d6e68118",
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"prefix": "zero-latency/flappy/flappy_fix_latency_0_200ep_context5",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_cumulative_40ep_per_latency/checkpoints/steps_5000_model.safetensors"
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_exclusive_40ep_per_latency/checkpoints/steps_5000_model.safetensors"
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"metadata": {
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_curriculum_exclusive_40ep_per_latency"
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"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
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"path": "zero-latency/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_0_200ep/checkpoints/steps_5000_model.safetensors"
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "zero-latency/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_0_200ep"
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"path": "evaluations/flappy/latency-transfer-qwenoft/episodes.csv"
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| 966 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 967 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/eval/mid_train/step_1000.json"
|
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},
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{
|
| 970 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 972 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/eval/mid_train/step_1500.json"
|
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},
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 977 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/eval/mid_train/step_2000.json"
|
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},
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 982 |
"path": "evaluations/flappy/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/eval/mid_train/step_500.json"
|
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},
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/flappy/wan_oft_flappy_fix_latency_4_context5_2000_effbs128/eval/post_train/step_2000.json"
|
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}
|
|
|
|
| 1003 |
"checkpoint_identity": "05a1c777b84de4f2b66a2db1a13eb7b1aa326167eabb30ddf50bd149d6e68118",
|
| 1004 |
"source_model_revision": "1ba5d2f489f03f9cb07a637ca680fa4f2f8e51a4",
|
| 1005 |
"dataset": {
|
| 1006 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 1007 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1008 |
"path": "latency-aware/flappy/flappy_fix_latency_4_200ep_context5",
|
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"source_repo": "latency-sensitive-bench/flappy_200ep_context5",
|
|
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|
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],
|
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"training_data": [
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "latency-aware/flappy/flappy_fix_latency_4_200ep_context5"
|
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}
|
|
|
|
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"prefix": "zero-latency/flappy/flappy_fix_latency_0_200ep_context5",
|
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"config_name": "flappy_fix_latency_0_200ep_context5",
|
| 1040 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1041 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
| 1043 |
{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_fix_latency_1_200ep_context5",
|
| 1050 |
"config_name": "flappy_fix_latency_1_200ep_context5",
|
| 1051 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
| 1054 |
{
|
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"experiment": "latency-transfer",
|
|
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|
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"prefix": "latency-aware/flappy/flappy_fix_latency_2_200ep_context5",
|
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"config_name": "flappy_fix_latency_2_200ep_context5",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
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{
|
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"experiment": "latency-transfer",
|
|
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"prefix": "latency-aware/flappy/flappy_fix_latency_3_200ep_context5",
|
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"config_name": "flappy_fix_latency_3_200ep_context5",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
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{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_fix_latency_4_200ep_context5",
|
| 1083 |
"config_name": "flappy_fix_latency_4_200ep_context5",
|
| 1084 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
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{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "zero-latency/flappy/flappy_200ep/flappy_fix_latency_0_200ep",
|
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"config_name": "flappy_200ep__flappy_fix_latency_0_200ep",
|
| 1095 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1097 |
},
|
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{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_1_200ep",
|
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"config_name": "flappy_200ep__flappy_fix_latency_1_200ep",
|
| 1106 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1107 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1108 |
},
|
| 1109 |
{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 1116 |
"config_name": "flappy_200ep__flappy_fix_latency_2_200ep",
|
| 1117 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1118 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1119 |
},
|
| 1120 |
{
|
| 1121 |
"experiment": "latency-transfer",
|
|
|
|
| 1126 |
"prefix": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_3_200ep",
|
| 1127 |
"config_name": "flappy_200ep__flappy_fix_latency_3_200ep",
|
| 1128 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1129 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1130 |
},
|
| 1131 |
{
|
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"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_4_200ep",
|
| 1138 |
"config_name": "flappy_200ep__flappy_fix_latency_4_200ep",
|
| 1139 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1140 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1141 |
},
|
| 1142 |
{
|
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"experiment": "latency-transfer",
|
|
|
|
| 1148 |
"prefix": "zero-latency/flappy/flappy_fix_latency_0_small/data",
|
| 1149 |
"config_name": "flappy_fix_latency_0_small",
|
| 1150 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1151 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1152 |
},
|
| 1153 |
{
|
| 1154 |
"experiment": "latency-transfer",
|
|
|
|
| 1159 |
"prefix": "latency-aware/flappy/flappy_fix_latency_1_small/data",
|
| 1160 |
"config_name": "flappy_fix_latency_1_small",
|
| 1161 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"experiment": "latency-transfer",
|
|
|
|
| 1170 |
"prefix": "latency-aware/flappy/flappy_fix_latency_2_small/data",
|
| 1171 |
"config_name": "flappy_fix_latency_2_small",
|
| 1172 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1173 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1174 |
},
|
| 1175 |
{
|
| 1176 |
"experiment": "latency-transfer",
|
|
|
|
| 1181 |
"prefix": "latency-aware/flappy/flappy_fix_latency_3_small/data",
|
| 1182 |
"config_name": "flappy_fix_latency_3_small",
|
| 1183 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1184 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1185 |
},
|
| 1186 |
{
|
| 1187 |
"experiment": "latency-transfer",
|
|
|
|
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"prefix": "latency-aware/flappy/flappy_fix_latency_4_small/data",
|
| 1193 |
"config_name": "flappy_fix_latency_4_small",
|
| 1194 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 1195 |
+
"repo": "MLL-Lab/LAGEN-datasets"
|
| 1196 |
}
|
| 1197 |
]
|
| 1198 |
}
|
experiments/mean-vs-profile/ant/README.md
CHANGED
|
@@ -2,8 +2,8 @@
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
-
| Mean-trained | [step 5000](https://huggingface.co/
|
| 6 |
-
| Profile-trained | [profile-trained](https://huggingface.co/
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
|
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
+
| Mean-trained | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/ant/vla/starvla-qwenoft-h1/ant-qwenoft-mean-3090-s42) | 90.56460639 ms fixed | 100 | 1453.844063807972 |
|
| 6 |
+
| Profile-trained | [profile-trained](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/ant/vla/starvla-qwenoft-h1/ant_rgb_state_profile_20260911T112232Z_openvla_native_sft_5k) | Temporal profile | 20 | 1853.3319204046265 |
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
experiments/mean-vs-profile/ant/manifest.json
CHANGED
|
@@ -5,12 +5,12 @@
|
|
| 5 |
{
|
| 6 |
"condition": "Mean-trained",
|
| 7 |
"checkpoint": {
|
| 8 |
-
"repo": "
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 10 |
"path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
| 11 |
},
|
| 12 |
"training_data": {
|
| 13 |
-
"repo": "
|
| 14 |
"path": "latency-aware/ant/mean_rtx3090_s2222_100ep_v1",
|
| 15 |
"source_repo": "latency-sensitive-bench/Standard-Pipeline",
|
| 16 |
"source_revision": "6246ccc57caf32da0e02547c3e3e1080894d4035",
|
|
@@ -22,9 +22,9 @@
|
|
| 22 |
},
|
| 23 |
"fixed_training_latency_ms": 90.56460638563993,
|
| 24 |
"evaluation_profile": {
|
| 25 |
-
"repo": "
|
| 26 |
"path": "profiles/qwenoft/1x-rtx3090/ant/instance_859cf1e47bca6046/mean-vs-profile-20261001",
|
| 27 |
-
"source_repo": "
|
| 28 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 29 |
"source_path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
| 30 |
"task": "ant",
|
|
@@ -34,7 +34,7 @@
|
|
| 34 |
"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
|
| 35 |
},
|
| 36 |
"evaluation": {
|
| 37 |
-
"repo": "
|
| 38 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 39 |
"path": "evaluations/ant/ant-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
|
| 40 |
},
|
|
@@ -90,7 +90,7 @@
|
|
| 90 |
{
|
| 91 |
"condition": "Profile-trained",
|
| 92 |
"checkpoint": {
|
| 93 |
-
"repo": "
|
| 94 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 95 |
"path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant_rgb_state_profile_20260911T112232Z_openvla_native_sft_5k/checkpoints/model.pt"
|
| 96 |
},
|
|
@@ -102,12 +102,12 @@
|
|
| 102 |
"std_return": 508.6942322303284,
|
| 103 |
"episodes": 20,
|
| 104 |
"evaluation": {
|
| 105 |
-
"repo": "
|
| 106 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 107 |
"path": "evaluations/ant/ant_rgb_state_profile_20260911T112232Z_openvla_native_sft_5k/hardware-20ep/summary.json"
|
| 108 |
},
|
| 109 |
"training_data": {
|
| 110 |
-
"repo": "
|
| 111 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 112 |
"path": "latency-aware/ant/ant_rgb_state_profile_20260911T112232Z/raw"
|
| 113 |
}
|
|
|
|
| 5 |
{
|
| 6 |
"condition": "Mean-trained",
|
| 7 |
"checkpoint": {
|
| 8 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 10 |
"path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
| 11 |
},
|
| 12 |
"training_data": {
|
| 13 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 14 |
"path": "latency-aware/ant/mean_rtx3090_s2222_100ep_v1",
|
| 15 |
"source_repo": "latency-sensitive-bench/Standard-Pipeline",
|
| 16 |
"source_revision": "6246ccc57caf32da0e02547c3e3e1080894d4035",
|
|
|
|
| 22 |
},
|
| 23 |
"fixed_training_latency_ms": 90.56460638563993,
|
| 24 |
"evaluation_profile": {
|
| 25 |
+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 26 |
"path": "profiles/qwenoft/1x-rtx3090/ant/instance_859cf1e47bca6046/mean-vs-profile-20261001",
|
| 27 |
+
"source_repo": "MLL-Lab/LAGEN-models",
|
| 28 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 29 |
"source_path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
| 30 |
"task": "ant",
|
|
|
|
| 34 |
"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
|
| 35 |
},
|
| 36 |
"evaluation": {
|
| 37 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 38 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 39 |
"path": "evaluations/ant/ant-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
|
| 40 |
},
|
|
|
|
| 90 |
{
|
| 91 |
"condition": "Profile-trained",
|
| 92 |
"checkpoint": {
|
| 93 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 94 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 95 |
"path": "latency-aware/ant/vla/starvla-qwenoft-h1/ant_rgb_state_profile_20260911T112232Z_openvla_native_sft_5k/checkpoints/model.pt"
|
| 96 |
},
|
|
|
|
| 102 |
"std_return": 508.6942322303284,
|
| 103 |
"episodes": 20,
|
| 104 |
"evaluation": {
|
| 105 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 106 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 107 |
"path": "evaluations/ant/ant_rgb_state_profile_20260911T112232Z_openvla_native_sft_5k/hardware-20ep/summary.json"
|
| 108 |
},
|
| 109 |
"training_data": {
|
| 110 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 111 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 112 |
"path": "latency-aware/ant/ant_rgb_state_profile_20260911T112232Z/raw"
|
| 113 |
}
|
experiments/mean-vs-profile/deadly-corridor/README.md
CHANGED
|
@@ -2,8 +2,8 @@
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
-
| Mean-trained | [step 5000](https://huggingface.co/
|
| 6 |
-
| Profile-trained | [profile-trained](https://huggingface.co/
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
|
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
+
| Mean-trained | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42) | 73.69250777 ms fixed | 100 | 1620.7987757873534 |
|
| 6 |
+
| Profile-trained | [profile-trained](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2) | Temporal profile | 100 | 2091.234108123779 |
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
experiments/mean-vs-profile/deadly-corridor/manifest.json
CHANGED
|
@@ -5,12 +5,12 @@
|
|
| 5 |
{
|
| 6 |
"condition": "Mean-trained",
|
| 7 |
"checkpoint": {
|
| 8 |
-
"repo": "
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 10 |
"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
| 11 |
},
|
| 12 |
"training_data": {
|
| 13 |
-
"repo": "
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"path": "latency-aware/deadly-corridor/mean_rtx3090_s42_8500ep_v1",
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"source_repo": "latency-sensitive-bench/Standard-Pipeline",
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},
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"fixed_training_latency_ms": 73.69250777493353,
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"evaluation_profile": {
|
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-
"repo": "
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"path": "profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
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"source_repo": "
|
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"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"source_path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
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"task": "deadly-corridor",
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"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
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},
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"evaluation": {
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-
"repo": "
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/deadly-corridor/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
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{
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"condition": "Profile-trained",
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"checkpoint": {
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"repo": "
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"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt"
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"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
|
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"evaluation_profile": {
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"repo": "
|
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"path": "profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
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"source_repo": "
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"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"source_path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
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"task": "deadly-corridor",
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|
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"std_return": 579.6123067681043,
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"episodes": 100,
|
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"evaluation": {
|
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-
"repo": "
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/deadly-corridor/deadly_corridor-qwenoft-hist8-scratch-s42-v2"
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{
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"condition": "Mean-trained",
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"checkpoint": {
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+
"repo": "MLL-Lab/LAGEN-models",
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
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"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
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},
|
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"training_data": {
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"repo": "MLL-Lab/LAGEN-datasets",
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"path": "latency-aware/deadly-corridor/mean_rtx3090_s42_8500ep_v1",
|
| 15 |
"source_repo": "latency-sensitive-bench/Standard-Pipeline",
|
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"source_revision": "f33126deefb1d4819a338281cfd4b6db07c8029b",
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},
|
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"fixed_training_latency_ms": 73.69250777493353,
|
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"evaluation_profile": {
|
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+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 26 |
"path": "profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
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"source_repo": "MLL-Lab/LAGEN-models",
|
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"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
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"source_path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
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"task": "deadly-corridor",
|
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"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
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},
|
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"evaluation": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 39 |
"path": "evaluations/deadly-corridor/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
|
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{
|
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"condition": "Profile-trained",
|
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"checkpoint": {
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"repo": "MLL-Lab/LAGEN-models",
|
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"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 95 |
"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt"
|
| 96 |
},
|
| 97 |
"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
|
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"evaluation_profile": {
|
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"repo": "MLL-Lab/LAGEN-profiles",
|
| 100 |
"path": "profiles/openvla/1x-rtx3090/deadly_corridor/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
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"source_repo": "MLL-Lab/LAGEN-models",
|
| 102 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
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"source_path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
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"task": "deadly-corridor",
|
|
|
|
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"std_return": 579.6123067681043,
|
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"episodes": 100,
|
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"evaluation": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/deadly-corridor/deadly_corridor-qwenoft-hist8-scratch-s42-v2"
|
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}
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experiments/mean-vs-profile/flappy/README.md
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|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
-
| Mean-trained | [step 5000](https://huggingface.co/
|
| 6 |
-
| Profile-trained | [profile-trained](https://huggingface.co/
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
|
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
+
| Mean-trained | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42) | 75.87417451 ms fixed | 100 | 384.8240045265853 |
|
| 6 |
+
| Profile-trained | [profile-trained](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2) | Temporal profile | 100 | 373.7790043977648 |
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
experiments/mean-vs-profile/flappy/manifest.json
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{
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"condition": "Mean-trained",
|
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"checkpoint": {
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"repo": "
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"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
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},
|
| 12 |
"training_data": {
|
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"repo": "
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| 14 |
"path": "latency-aware/flappy/mean_rtx3090_s42_200ep_v1",
|
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"source_repo": "latency-sensitive-bench/Standard-Pipeline",
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"source_revision": "a568aa3792b49189d72c02781956c46f50d81b4e",
|
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@@ -22,9 +22,9 @@
|
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},
|
| 23 |
"fixed_training_latency_ms": 75.87417450998383,
|
| 24 |
"evaluation_profile": {
|
| 25 |
-
"repo": "
|
| 26 |
"path": "profiles/openvla/1x-rtx3090/flappy/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
| 27 |
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"source_repo": "
|
| 28 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"source_path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
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"task": "flappy",
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},
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"repo": "
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/flappy/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
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"condition": "Profile-trained",
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"repo": "
|
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"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt"
|
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},
|
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"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
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"repo": "
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"path": "profiles/openvla/1x-rtx3090/flappy/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
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"source_repo": "
|
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"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"source_path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
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"task": "flappy",
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|
| 111 |
"std_return": 126.82699726383998,
|
| 112 |
"episodes": 100,
|
| 113 |
"evaluation": {
|
| 114 |
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"repo": "
|
| 115 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/flappy/flappy-qwenoft-hist8-scratch-s42-v2"
|
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}
|
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"condition": "Mean-trained",
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"repo": "MLL-Lab/LAGEN-models",
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 10 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/checkpoints/model.pt"
|
| 11 |
},
|
| 12 |
"training_data": {
|
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"repo": "MLL-Lab/LAGEN-datasets",
|
| 14 |
"path": "latency-aware/flappy/mean_rtx3090_s42_200ep_v1",
|
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"source_repo": "latency-sensitive-bench/Standard-Pipeline",
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"source_revision": "a568aa3792b49189d72c02781956c46f50d81b4e",
|
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},
|
| 23 |
"fixed_training_latency_ms": 75.87417450998383,
|
| 24 |
"evaluation_profile": {
|
| 25 |
+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 26 |
"path": "profiles/openvla/1x-rtx3090/flappy/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
| 27 |
+
"source_repo": "MLL-Lab/LAGEN-models",
|
| 28 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 29 |
"source_path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
| 30 |
"task": "flappy",
|
|
|
|
| 34 |
"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
|
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},
|
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"evaluation": {
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 38 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/flappy/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001"
|
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},
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{
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"condition": "Profile-trained",
|
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"checkpoint": {
|
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"repo": "MLL-Lab/LAGEN-models",
|
| 94 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 95 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/checkpoints/model.pt"
|
| 96 |
},
|
| 97 |
"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
|
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"evaluation_profile": {
|
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+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 100 |
"path": "profiles/openvla/1x-rtx3090/flappy/instance_a5037b165aa0cedc/mean-vs-profile-20261001",
|
| 101 |
+
"source_repo": "MLL-Lab/LAGEN-models",
|
| 102 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
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"source_path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-mean-3090-s42/evaluation/profile-simulation-100ep-20261001/profile",
|
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"task": "flappy",
|
|
|
|
| 111 |
"std_return": 126.82699726383998,
|
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"episodes": 100,
|
| 113 |
"evaluation": {
|
| 114 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 115 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/flappy/flappy-qwenoft-hist8-scratch-s42-v2"
|
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}
|
experiments/mean-vs-profile/intercept-grab-fast/README.md
CHANGED
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|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
-
| Mean-trained | [step 5000](https://huggingface.co/
|
| 6 |
-
| Profile-trained | [profile-trained](https://huggingface.co/
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
|
|
|
| 2 |
|
| 3 |
| Condition | Checkpoint | Training latency | Evaluation episodes | Mean return |
|
| 4 |
|---|---|---|---|---|
|
| 5 |
+
| Mean-trained | [step 5000](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0) | 99.05021290 ms fixed | 100 | 3.5443485127069287 |
|
| 6 |
+
| Profile-trained | [profile-trained](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923) | Temporal profile | 100 | 18.195560179747673 |
|
| 7 |
|
| 8 |
## Evaluation protocol
|
| 9 |
|
experiments/mean-vs-profile/intercept-grab-fast/manifest.json
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{
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"repo": "
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"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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| 10 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/checkpoints/model.pt"
|
| 11 |
},
|
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"training_data": {
|
| 13 |
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"repo": "
|
| 14 |
"path": "latency-aware/intercept-grab-fast/mean_rtx3090_h1_s123_275ep_v1",
|
| 15 |
"source_repo": "latency-sensitive-bench/Standard-Pipeline",
|
| 16 |
"source_revision": "bba7d56c0ad5bb2b6d6ed07adb70b4f1afd5d25a",
|
|
@@ -22,9 +22,9 @@
|
|
| 22 |
},
|
| 23 |
"fixed_training_latency_ms": 99.05021289731565,
|
| 24 |
"evaluation_profile": {
|
| 25 |
-
"repo": "
|
| 26 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/mean-vs-profile-20261001",
|
| 27 |
-
"source_repo": "
|
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"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
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"source_path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001/profile",
|
| 30 |
"task": "intercept-grab-fast",
|
|
@@ -34,7 +34,7 @@
|
|
| 34 |
"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
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},
|
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"evaluation": {
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-
"repo": "
|
| 38 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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| 39 |
"path": "evaluations/intercept-grab-fast/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001"
|
| 40 |
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|
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| 93 |
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|
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"checkpoint": {
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| 95 |
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"repo": "
|
| 96 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 97 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/checkpoints/model.pt"
|
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},
|
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"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
|
| 100 |
"evaluation_profile": {
|
| 101 |
-
"repo": "
|
| 102 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/mean-vs-profile-20261001",
|
| 103 |
-
"source_repo": "
|
| 104 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 105 |
"source_path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001/profile",
|
| 106 |
"task": "intercept-grab-fast",
|
|
@@ -113,7 +113,7 @@
|
|
| 113 |
"std_return": 15.338579798327062,
|
| 114 |
"episodes": 100,
|
| 115 |
"evaluation": {
|
| 116 |
-
"repo": "
|
| 117 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 118 |
"path": "evaluations/intercept-grab-fast/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923"
|
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}
|
|
|
|
| 5 |
{
|
| 6 |
"condition": "Mean-trained",
|
| 7 |
"checkpoint": {
|
| 8 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 9 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 10 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/checkpoints/model.pt"
|
| 11 |
},
|
| 12 |
"training_data": {
|
| 13 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 14 |
"path": "latency-aware/intercept-grab-fast/mean_rtx3090_h1_s123_275ep_v1",
|
| 15 |
"source_repo": "latency-sensitive-bench/Standard-Pipeline",
|
| 16 |
"source_revision": "bba7d56c0ad5bb2b6d6ed07adb70b4f1afd5d25a",
|
|
|
|
| 22 |
},
|
| 23 |
"fixed_training_latency_ms": 99.05021289731565,
|
| 24 |
"evaluation_profile": {
|
| 25 |
+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 26 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/mean-vs-profile-20261001",
|
| 27 |
+
"source_repo": "MLL-Lab/LAGEN-models",
|
| 28 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 29 |
"source_path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001/profile",
|
| 30 |
"task": "intercept-grab-fast",
|
|
|
|
| 34 |
"revision": "dc603c91680f78ae3256e5559758cbee89864ce0"
|
| 35 |
},
|
| 36 |
"evaluation": {
|
| 37 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 38 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 39 |
"path": "evaluations/intercept-grab-fast/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001"
|
| 40 |
},
|
|
|
|
| 92 |
{
|
| 93 |
"condition": "Profile-trained",
|
| 94 |
"checkpoint": {
|
| 95 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 96 |
"revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 97 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/checkpoints/model.pt"
|
| 98 |
},
|
| 99 |
"training_data_status": "Original training data paths and provenance retained; exact full dataset publication is not established by the checkpoint bundle.",
|
| 100 |
"evaluation_profile": {
|
| 101 |
+
"repo": "MLL-Lab/LAGEN-profiles",
|
| 102 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/mean-vs-profile-20261001",
|
| 103 |
+
"source_repo": "MLL-Lab/LAGEN-models",
|
| 104 |
"source_revision": "525b3bc5c79c1f08711368ff89a7b5916ba5f175",
|
| 105 |
"source_path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/intercept-qwenoft-mean-3090-h1-s0/evaluation/profile-simulation-100ep-20261001/profile",
|
| 106 |
"task": "intercept-grab-fast",
|
|
|
|
| 113 |
"std_return": 15.338579798327062,
|
| 114 |
"episodes": 100,
|
| 115 |
"evaluation": {
|
| 116 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 117 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 118 |
"path": "evaluations/intercept-grab-fast/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923"
|
| 119 |
}
|
experiments/observation-stride/deadly-corridor/README.md
CHANGED
|
@@ -12,7 +12,7 @@ Exact observation cadence, frame stack, training budget and delay parameters bel
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
-
[Paper measurements](https://huggingface.co/datasets/
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
|
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
+
[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
experiments/observation-stride/deadly-corridor/manifest.json
CHANGED
|
@@ -6,13 +6,13 @@
|
|
| 6 |
"figure_directory": "figures/fig10_observation_stride",
|
| 7 |
"compiled_arxiv_figure_at_audit": 12,
|
| 8 |
"data": {
|
| 9 |
-
"repo_id": "
|
| 10 |
"repo_type": "dataset",
|
| 11 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 12 |
"path": "experiments/observation-stride/paper/data.csv"
|
| 13 |
},
|
| 14 |
"wandb_sources": {
|
| 15 |
-
"repo_id": "
|
| 16 |
"repo_type": "dataset",
|
| 17 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 18 |
"path": "experiments/observation-stride/paper/wandb_sources.csv"
|
|
@@ -33,14 +33,14 @@
|
|
| 33 |
"train_for_env_steps": 25000000
|
| 34 |
},
|
| 35 |
"config": {
|
| 36 |
-
"repo_id": "
|
| 37 |
"repo_type": "model",
|
| 38 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 39 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed10/config.json"
|
| 40 |
},
|
| 41 |
"retained_checkpoints": [
|
| 42 |
{
|
| 43 |
-
"repo_id": "
|
| 44 |
"repo_type": "model",
|
| 45 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 46 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -48,7 +48,7 @@
|
|
| 48 |
}
|
| 49 |
],
|
| 50 |
"archived_evaluation": {
|
| 51 |
-
"repo_id": "
|
| 52 |
"repo_type": "dataset",
|
| 53 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 54 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed10/fixed_4/queue_eval_latency_4.json"
|
|
@@ -70,14 +70,14 @@
|
|
| 70 |
"train_for_env_steps": 25000000
|
| 71 |
},
|
| 72 |
"config": {
|
| 73 |
-
"repo_id": "
|
| 74 |
"repo_type": "model",
|
| 75 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 76 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed11/config.json"
|
| 77 |
},
|
| 78 |
"retained_checkpoints": [
|
| 79 |
{
|
| 80 |
-
"repo_id": "
|
| 81 |
"repo_type": "model",
|
| 82 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 83 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -85,7 +85,7 @@
|
|
| 85 |
}
|
| 86 |
],
|
| 87 |
"archived_evaluation": {
|
| 88 |
-
"repo_id": "
|
| 89 |
"repo_type": "dataset",
|
| 90 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 91 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed11/fixed_4/queue_eval_latency_4.json"
|
|
@@ -107,14 +107,14 @@
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|
| 107 |
"train_for_env_steps": 25000000
|
| 108 |
},
|
| 109 |
"config": {
|
| 110 |
-
"repo_id": "
|
| 111 |
"repo_type": "model",
|
| 112 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 113 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed12/config.json"
|
| 114 |
},
|
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"retained_checkpoints": [
|
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{
|
| 117 |
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"repo_id": "
|
| 118 |
"repo_type": "model",
|
| 119 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 120 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -122,7 +122,7 @@
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|
| 122 |
}
|
| 123 |
],
|
| 124 |
"archived_evaluation": {
|
| 125 |
-
"repo_id": "
|
| 126 |
"repo_type": "dataset",
|
| 127 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 128 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed12/fixed_4/queue_eval_latency_4.json"
|
|
@@ -144,14 +144,14 @@
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|
| 144 |
"train_for_env_steps": 25000000
|
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},
|
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"config": {
|
| 147 |
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"repo_id": "
|
| 148 |
"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 150 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed13/config.json"
|
| 151 |
},
|
| 152 |
"retained_checkpoints": [
|
| 153 |
{
|
| 154 |
-
"repo_id": "
|
| 155 |
"repo_type": "model",
|
| 156 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 157 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed13/checkpoint_p0/checkpoint_000048840_25006080.pth",
|
|
@@ -159,7 +159,7 @@
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|
| 159 |
}
|
| 160 |
],
|
| 161 |
"archived_evaluation": {
|
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"repo_id": "
|
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"repo_type": "dataset",
|
| 164 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 165 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed13/fixed_4/queue_eval_latency_4.json"
|
|
@@ -181,14 +181,14 @@
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|
| 181 |
"train_for_env_steps": 25000000
|
| 182 |
},
|
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"config": {
|
| 184 |
-
"repo_id": "
|
| 185 |
"repo_type": "model",
|
| 186 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 187 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed14/config.json"
|
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},
|
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"retained_checkpoints": [
|
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{
|
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"repo_id": "
|
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 194 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -196,7 +196,7 @@
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}
|
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],
|
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"archived_evaluation": {
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"repo_id": "
|
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 202 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs11p6667:stride3:seed14/fixed_4/queue_eval_latency_4.json"
|
|
@@ -218,14 +218,14 @@
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|
| 218 |
"train_for_env_steps": 25000000
|
| 219 |
},
|
| 220 |
"config": {
|
| 221 |
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"repo_id": "
|
| 222 |
"repo_type": "model",
|
| 223 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 224 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed10/config.json"
|
| 225 |
},
|
| 226 |
"retained_checkpoints": [
|
| 227 |
{
|
| 228 |
-
"repo_id": "
|
| 229 |
"repo_type": "model",
|
| 230 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 231 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed10/checkpoint_p0/checkpoint_000048840_25006080.pth",
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|
@@ -233,7 +233,7 @@
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}
|
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],
|
| 235 |
"archived_evaluation": {
|
| 236 |
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"repo_id": "
|
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 239 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed10/fixed_4/queue_eval_latency_4.json"
|
|
@@ -259,14 +259,14 @@
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|
| 259 |
"train_for_env_steps": 25000000
|
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},
|
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"config": {
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| 262 |
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"repo_id": "
|
| 263 |
"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 265 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed11/config.json"
|
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},
|
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"retained_checkpoints": [
|
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{
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 272 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -274,7 +274,7 @@
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|
| 274 |
}
|
| 275 |
],
|
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"archived_evaluation": {
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"repo_id": "
|
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"repo_type": "dataset",
|
| 279 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 280 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed11/fixed_4/queue_eval_latency_4.json"
|
|
@@ -296,14 +296,14 @@
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|
| 296 |
"train_for_env_steps": 25000000
|
| 297 |
},
|
| 298 |
"config": {
|
| 299 |
-
"repo_id": "
|
| 300 |
"repo_type": "model",
|
| 301 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 302 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed12/config.json"
|
| 303 |
},
|
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"retained_checkpoints": [
|
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{
|
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"repo_id": "
|
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 309 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
@@ -311,7 +311,7 @@
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|
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|
| 312 |
],
|
| 313 |
"archived_evaluation": {
|
| 314 |
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"repo_id": "
|
| 315 |
"repo_type": "dataset",
|
| 316 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 317 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed12/fixed_4/queue_eval_latency_4.json"
|
|
@@ -333,14 +333,14 @@
|
|
| 333 |
"train_for_env_steps": 25000000
|
| 334 |
},
|
| 335 |
"config": {
|
| 336 |
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"repo_id": "
|
| 337 |
"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed13/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed14/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs17p5:stride2:seed14/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed10/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed10/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed11/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed11/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed12/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed13/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs35:stride1:seed14/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed10/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed11/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed12/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "1885576",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed12/fixed_4/eval_latency_4/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs5p83333:stride6:seed14/fixed_4/queue_eval_latency_4.json"
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed10/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed10/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed11/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed11/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed12/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed12/fixed_4/eval_latency_4/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs7:stride5:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed10/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed11/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed11/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed12/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed13/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:fixed_l4:fs4:obs8p75:stride4:seed14/fixed_4/queue_eval_latency_4.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed10/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed11/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed11/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed11/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"paper_checkpoint_status": "confirmed",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed11/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "967874",
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"paper_mean_return": 1811.4472268676757,
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"repo_type": "dataset",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed11/uniform_min_2_max_6/actions.jsonl"
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"train_for_env_steps": 25000000
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed12/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed13/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed13/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"paper_checkpoint_status": "confirmed",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed13/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "845125",
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"paper_mean_return": 1976.627269744873,
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed13/uniform_min_2_max_6/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed14/config.json"
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{
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed14/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed14/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"paper_checkpoint_status": "confirmed",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed14/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "906580",
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"paper_mean_return": 1864.7786608886718,
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"repo_id": "
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs11p6667:stride3:seed14/uniform_min_2_max_6/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed10/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed10/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"paper_checkpoint_status": "confirmed",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed10/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "894673",
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"paper_mean_return": 1222.5514384460448,
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"repo_type": "dataset",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed10/uniform_min_2_max_6/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed11/config.json"
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{
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed11/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed12/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed13/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs17p5:stride2:seed14/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed10/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed11/config.json"
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed11/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed12/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed13/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs35:stride1:seed14/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed10/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed11/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed11/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed11/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed12/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed12/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed12/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "1734308",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed12/uniform_min_2_max_6/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed13/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed13/checkpoint_p0/checkpoint_000048840_25006080.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed13/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed13/checkpoint_p0/checkpoint_000048840_25006080.pth"
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"paper_source_step": "1699689",
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"paper_mean_return": 1835.367333984375,
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed13/uniform_min_2_max_6/actions.jsonl"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed14/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs5p83333:stride6:seed14/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs7:stride5:seed10/config.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs7:stride5:seed10/checkpoint_p0/checkpoint_000048836_25004032.pth",
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"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs7:stride5:seed10/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs7:stride5:seed11/config.json"
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"config": {
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+
"repo_id": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 2307 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed12/config.json"
|
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},
|
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"retained_checkpoints": [
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{
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+
"repo_id": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
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"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed12/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
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}
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],
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"archived_evaluation": {
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"repo_id": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 2322 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed12/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
|
|
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"train_for_env_steps": 25000000
|
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},
|
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"config": {
|
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+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 2342 |
"repo_type": "model",
|
| 2343 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 2344 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed13/config.json"
|
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},
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"retained_checkpoints": [
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{
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+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 2349 |
"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 2351 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed13/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
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|
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}
|
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],
|
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"archived_evaluation": {
|
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"repo_id": "MLL-Lab/LAGEN-datasets",
|
| 2357 |
"repo_type": "dataset",
|
| 2358 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 2359 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed13/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
|
|
|
|
| 2375 |
"train_for_env_steps": 25000000
|
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},
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"config": {
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+
"repo_id": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
|
| 2380 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 2381 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed14/config.json"
|
| 2382 |
},
|
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"retained_checkpoints": [
|
| 2384 |
{
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"repo_id": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 2388 |
"path": "latency-aware/deadly-corridor/small-policy/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed14/checkpoint_p0/checkpoint_000048836_25004032.pth",
|
|
|
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}
|
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],
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"archived_evaluation": {
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"repo_id": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 2396 |
"path": "evaluations/deadly-corridor/factor_sweep:deadly_corridor:observation_stride:uniform_u2_6:fs4:obs8p75:stride4:seed14/uniform_min_2_max_6/queue_eval_latency_uniform_min_2_max_6.json"
|
experiments/observation-stride/demon-attack/README.md
CHANGED
|
@@ -12,7 +12,7 @@ Exact observation cadence, frame stack, training budget and delay parameters bel
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
-
[Paper measurements](https://huggingface.co/datasets/
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
|
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
+
[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
experiments/observation-stride/demon-attack/manifest.json
CHANGED
|
The diff for this file is too large to render.
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|
|
|
experiments/observation-stride/flappy/README.md
CHANGED
|
@@ -12,7 +12,7 @@ Exact observation cadence, frame stack, training budget and delay parameters bel
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
-
[Paper measurements](https://huggingface.co/datasets/
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
|
|
|
| 12 |
|
| 13 |
## Results and assets
|
| 14 |
|
| 15 |
+
[Paper measurements](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/data.csv) and [fixed W&B sources](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/blob/3a59b67c3f85954742905d2c57b0d40e0050f979/experiments/observation-stride/paper/wandb_sources.csv) retain the published values. Each plotted point aggregates five training seeds.
|
| 16 |
|
| 17 |
The manifest pins model, configuration and original evaluation assets to fixed main-repository revisions. Training logs are stored with the evaluation run under `training/`. Download the model bundle with its original configuration and load it with the task's native Sample Factory integration.
|
| 18 |
|
experiments/observation-stride/flappy/manifest.json
CHANGED
|
@@ -6,13 +6,13 @@
|
|
| 6 |
"figure_directory": "figures/fig10_observation_stride",
|
| 7 |
"compiled_arxiv_figure_at_audit": 12,
|
| 8 |
"data": {
|
| 9 |
-
"repo_id": "
|
| 10 |
"repo_type": "dataset",
|
| 11 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 12 |
"path": "experiments/observation-stride/paper/data.csv"
|
| 13 |
},
|
| 14 |
"wandb_sources": {
|
| 15 |
-
"repo_id": "
|
| 16 |
"repo_type": "dataset",
|
| 17 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 18 |
"path": "experiments/observation-stride/paper/wandb_sources.csv"
|
|
@@ -33,14 +33,14 @@
|
|
| 33 |
"train_for_env_steps": 25000000
|
| 34 |
},
|
| 35 |
"config": {
|
| 36 |
-
"repo_id": "
|
| 37 |
"repo_type": "model",
|
| 38 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 39 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed10/config.json"
|
| 40 |
},
|
| 41 |
"retained_checkpoints": [
|
| 42 |
{
|
| 43 |
-
"repo_id": "
|
| 44 |
"repo_type": "model",
|
| 45 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 46 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed10/checkpoint_p0/checkpoint_000048696_25034752.pth",
|
|
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| 48 |
}
|
| 49 |
],
|
| 50 |
"archived_evaluation": {
|
| 51 |
-
"repo_id": "
|
| 52 |
"repo_type": "dataset",
|
| 53 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 54 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed10/fixed_2/queue_eval_latency_2.json"
|
|
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|
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"train_for_env_steps": 25000000
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|
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"config": {
|
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-
"repo_id": "
|
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 76 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed11/config.json"
|
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},
|
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"retained_checkpoints": [
|
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{
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"repo_id": "
|
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 83 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed11/checkpoint_p0/checkpoint_000048688_25034752.pth",
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|
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| 85 |
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|
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],
|
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"archived_evaluation": {
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"repo_id": "
|
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"repo_type": "dataset",
|
| 90 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 91 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed11/fixed_2/queue_eval_latency_2.json"
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"train_for_env_steps": 25000000
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"config": {
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 113 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed12/config.json"
|
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},
|
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"retained_checkpoints": [
|
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{
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-
"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 120 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed12/checkpoint_p0/checkpoint_000048680_25034752.pth",
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}
|
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],
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"archived_evaluation": {
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"repo_id": "
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed12/fixed_2/queue_eval_latency_2.json"
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"train_for_env_steps": 25000000
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"config": {
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"repo_id": "
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed13/config.json"
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},
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"retained_checkpoints": [
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{
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed13/checkpoint_p0/checkpoint_000048672_25034752.pth",
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"archived_evaluation": {
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"repo_id": "
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"repo_type": "dataset",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed13/fixed_2/queue_eval_latency_2.json"
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@@ -181,14 +181,14 @@
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"train_for_env_steps": 25000000
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"config": {
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"repo_id": "
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed14/config.json"
|
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},
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"retained_checkpoints": [
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{
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"repo_id": "
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed14/checkpoint_p0/checkpoint_000048696_25034752.pth",
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}
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"archived_evaluation": {
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"repo_id": "
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"repo_type": "dataset",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs10:stride3:seed14/fixed_2/queue_eval_latency_2.json"
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"repo_id": "
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed10/config.json"
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},
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"retained_checkpoints": [
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{
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 231 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed10/checkpoint_p0/checkpoint_000048760_25034752.pth",
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|
@@ -233,7 +233,7 @@
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| 233 |
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"archived_evaluation": {
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"repo_id": "
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"repo_type": "dataset",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 239 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed10/fixed_2/queue_eval_latency_2.json"
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|
@@ -255,14 +255,14 @@
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"repo_id": "
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"repo_type": "model",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed11/config.json"
|
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},
|
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"retained_checkpoints": [
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{
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 268 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed11/checkpoint_p0/checkpoint_000048736_25034752.pth",
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|
@@ -270,7 +270,7 @@
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"archived_evaluation": {
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"repo_type": "dataset",
|
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 276 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed11/fixed_2/queue_eval_latency_2.json"
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|
@@ -292,14 +292,14 @@
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"train_for_env_steps": 25000000
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed12/config.json"
|
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"retained_checkpoints": [
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{
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"repo_id": "
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"repo_type": "model",
|
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 305 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed12/checkpoint_p0/checkpoint_000048832_25034752.pth",
|
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"archived_evaluation": {
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"repo_id": "
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"repo_type": "dataset",
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"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed12/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed13/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed13/checkpoint_p0/checkpoint_000048672_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed14/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed14/checkpoint_p0/checkpoint_000048744_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs15:stride2:seed14/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed10/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed10/checkpoint_p0/checkpoint_000048824_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed10/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed11/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed11/checkpoint_p0/checkpoint_000048792_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed11/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed12/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed12/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed12/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed13/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs30:stride1:seed14/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs6:stride5:seed10/checkpoint_p0/checkpoint_000048792_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs6:stride5:seed10/fixed_2/queue_eval_latency_2.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs6:stride5:seed12/checkpoint_p0/checkpoint_000048832_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs7p5:stride4:seed11/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs7p5:stride4:seed11/checkpoint_p0/checkpoint_000048736_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs7p5:stride4:seed12/checkpoint_p0/checkpoint_000048768_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs7p5:stride4:seed13/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:fixed_l2:fs4:obs7p5:stride4:seed14/checkpoint_p0/checkpoint_000048792_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed10/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed11/checkpoint_p0/checkpoint_000048832_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed11/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed12/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed14/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs10:stride3:seed14/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs15:stride2:seed10/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs15:stride2:seed11/checkpoint_p0/checkpoint_000048752_25034752.pth",
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"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs15:stride2:seed14/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs15:stride2:seed14/checkpoint_p0/checkpoint_000048824_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs15:stride2:seed14/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed10/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed10/checkpoint_p0/checkpoint_000048832_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed10/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed11/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed11/checkpoint_p0/checkpoint_000048848_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed11/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed12/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed12/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed12/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed13/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed13/checkpoint_p0/checkpoint_000048848_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed13/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed14/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed14/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs30:stride1:seed14/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed10/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed10/checkpoint_p0/checkpoint_000048848_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed10/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed11/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed11/checkpoint_p0/checkpoint_000048848_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed11/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed12/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed12/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed12/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed13/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed13/checkpoint_p0/checkpoint_000048832_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed13/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed14/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed14/checkpoint_p0/checkpoint_000048832_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs6:stride5:seed14/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed10/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed10/checkpoint_p0/checkpoint_000048840_25034752.pth",
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"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed10/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed11/config.json"
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"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed11/checkpoint_p0/checkpoint_000048848_25034752.pth",
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| 1779 |
},
|
| 1780 |
"retained_checkpoints": [
|
| 1781 |
{
|
| 1782 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 1783 |
"repo_type": "model",
|
| 1784 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 1785 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed12/checkpoint_p0/checkpoint_000048840_25034752.pth",
|
|
|
|
| 1787 |
}
|
| 1788 |
],
|
| 1789 |
"archived_evaluation": {
|
| 1790 |
+
"repo_id": "MLL-Lab/LAGEN-datasets",
|
| 1791 |
"repo_type": "dataset",
|
| 1792 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 1793 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed12/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
|
|
|
|
| 1809 |
"train_for_env_steps": 25000000
|
| 1810 |
},
|
| 1811 |
"config": {
|
| 1812 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 1813 |
"repo_type": "model",
|
| 1814 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 1815 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed13/config.json"
|
| 1816 |
},
|
| 1817 |
"retained_checkpoints": [
|
| 1818 |
{
|
| 1819 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 1820 |
"repo_type": "model",
|
| 1821 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 1822 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed13/checkpoint_p0/checkpoint_000048832_25034752.pth",
|
|
|
|
| 1824 |
}
|
| 1825 |
],
|
| 1826 |
"archived_evaluation": {
|
| 1827 |
+
"repo_id": "MLL-Lab/LAGEN-datasets",
|
| 1828 |
"repo_type": "dataset",
|
| 1829 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 1830 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed13/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
|
|
|
|
| 1846 |
"train_for_env_steps": 25000000
|
| 1847 |
},
|
| 1848 |
"config": {
|
| 1849 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 1850 |
"repo_type": "model",
|
| 1851 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 1852 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed14/config.json"
|
| 1853 |
},
|
| 1854 |
"retained_checkpoints": [
|
| 1855 |
{
|
| 1856 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 1857 |
"repo_type": "model",
|
| 1858 |
"revision": "365fe5402de3fb464d5da8da9f944b969c5801c4",
|
| 1859 |
"path": "latency-aware/flappy/small-policy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed14/checkpoint_p0/checkpoint_000048832_25034752.pth",
|
|
|
|
| 1861 |
}
|
| 1862 |
],
|
| 1863 |
"archived_evaluation": {
|
| 1864 |
+
"repo_id": "MLL-Lab/LAGEN-datasets",
|
| 1865 |
"repo_type": "dataset",
|
| 1866 |
"revision": "3a59b67c3f85954742905d2c57b0d40e0050f979",
|
| 1867 |
"path": "evaluations/flappy/factor_sweep:flappy:observation_stride:uniform_u1_3:fs4:obs7p5:stride4:seed14/uniform_min_1_max_3/queue_eval_latency_uniform_min_1_max_3.json"
|
experiments/sim2real-calibration/manifest.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"release": "heldout-30cases-20261002",
|
| 3 |
"organized_on": "2026-10-07",
|
| 4 |
-
"model_repo": "
|
| 5 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 6 |
"gpu_types": [
|
| 7 |
"rtx3090",
|
|
@@ -68,7 +68,7 @@
|
|
| 68 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 69 |
},
|
| 70 |
"model": "qwenoft",
|
| 71 |
-
"model_repo": "
|
| 72 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 73 |
"protocol": {
|
| 74 |
"calibration_rounds": 2,
|
|
@@ -242,7 +242,7 @@
|
|
| 242 |
"method_sources": "cases/rtx3090/inverted_pendulum/qwenoft/provenance/method_sources.json",
|
| 243 |
"active_experiment": "cases/rtx3090/inverted_pendulum/qwenoft/experiment.json",
|
| 244 |
"measurement_source": {
|
| 245 |
-
"repo_id": "
|
| 246 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 247 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/inverted_pendulum/qwenoft",
|
| 248 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/inverted_pendulum/qwenoft",
|
|
@@ -283,7 +283,7 @@
|
|
| 283 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 284 |
},
|
| 285 |
"model": "qwenoft",
|
| 286 |
-
"model_repo": "
|
| 287 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 288 |
"protocol": {
|
| 289 |
"calibration_rounds": 2,
|
|
@@ -457,7 +457,7 @@
|
|
| 457 |
"method_sources": "cases/rtx4090/inverted_pendulum/qwenoft/provenance/method_sources.json",
|
| 458 |
"active_experiment": "cases/rtx4090/inverted_pendulum/qwenoft/experiment.json",
|
| 459 |
"measurement_source": {
|
| 460 |
-
"repo_id": "
|
| 461 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 462 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/inverted_pendulum/qwenoft",
|
| 463 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/inverted_pendulum/qwenoft",
|
|
@@ -498,7 +498,7 @@
|
|
| 498 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 499 |
},
|
| 500 |
"model": "qwengr00t",
|
| 501 |
-
"model_repo": "
|
| 502 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 503 |
"protocol": {
|
| 504 |
"calibration_rounds": 2,
|
|
@@ -672,7 +672,7 @@
|
|
| 672 |
"method_sources": "cases/rtx5090/inverted_pendulum/qwengr00t/provenance/method_sources.json",
|
| 673 |
"active_experiment": "cases/rtx5090/inverted_pendulum/qwengr00t/experiment.json",
|
| 674 |
"measurement_source": {
|
| 675 |
-
"repo_id": "
|
| 676 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 677 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/inverted_pendulum/qwengr00t",
|
| 678 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/inverted_pendulum/qwengr00t",
|
|
@@ -692,7 +692,7 @@
|
|
| 692 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
|
| 693 |
"eval_source": {
|
| 694 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 695 |
-
"repo_id": "
|
| 696 |
"repo_type": "model",
|
| 697 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 698 |
},
|
|
@@ -700,7 +700,7 @@
|
|
| 700 |
"policy_files": {},
|
| 701 |
"training_profile": {
|
| 702 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
|
| 703 |
-
"repo_id": "
|
| 704 |
"repo_type": "model",
|
| 705 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 706 |
}
|
|
@@ -710,7 +710,7 @@
|
|
| 710 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 711 |
},
|
| 712 |
"model": "qwenoft",
|
| 713 |
-
"model_repo": "
|
| 714 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 715 |
"protocol": {
|
| 716 |
"calibration_rounds": 2,
|
|
@@ -884,7 +884,7 @@
|
|
| 884 |
"method_sources": "cases/l40s/flappy/qwenoft/provenance/method_sources.json",
|
| 885 |
"active_experiment": "cases/l40s/flappy/qwenoft/experiment.json",
|
| 886 |
"measurement_source": {
|
| 887 |
-
"repo_id": "
|
| 888 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 889 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/flappy/qwenoft",
|
| 890 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/flappy/qwenoft",
|
|
@@ -904,7 +904,7 @@
|
|
| 904 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 905 |
"eval_source": {
|
| 906 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 907 |
-
"repo_id": "
|
| 908 |
"repo_type": "model",
|
| 909 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 910 |
},
|
|
@@ -912,7 +912,7 @@
|
|
| 912 |
"policy_files": {},
|
| 913 |
"training_profile": {
|
| 914 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 915 |
-
"repo_id": "
|
| 916 |
"repo_type": "model",
|
| 917 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 918 |
}
|
|
@@ -922,7 +922,7 @@
|
|
| 922 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 923 |
},
|
| 924 |
"model": "qwengr00t",
|
| 925 |
-
"model_repo": "
|
| 926 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 927 |
"protocol": {
|
| 928 |
"calibration_rounds": 2,
|
|
@@ -1096,7 +1096,7 @@
|
|
| 1096 |
"method_sources": "cases/l40s/flappy/qwengr00t/provenance/method_sources.json",
|
| 1097 |
"active_experiment": "cases/l40s/flappy/qwengr00t/experiment.json",
|
| 1098 |
"measurement_source": {
|
| 1099 |
-
"repo_id": "
|
| 1100 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 1101 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/flappy/qwengr00t",
|
| 1102 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/flappy/qwengr00t",
|
|
@@ -1137,7 +1137,7 @@
|
|
| 1137 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 1138 |
},
|
| 1139 |
"model": "qwenoft",
|
| 1140 |
-
"model_repo": "
|
| 1141 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 1142 |
"protocol": {
|
| 1143 |
"calibration_rounds": 2,
|
|
@@ -1311,7 +1311,7 @@
|
|
| 1311 |
"method_sources": "cases/l40s/inverted_pendulum/qwenoft/provenance/method_sources.json",
|
| 1312 |
"active_experiment": "cases/l40s/inverted_pendulum/qwenoft/experiment.json",
|
| 1313 |
"measurement_source": {
|
| 1314 |
-
"repo_id": "
|
| 1315 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 1316 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/inverted_pendulum/qwenoft",
|
| 1317 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/inverted_pendulum/qwenoft",
|
|
@@ -1352,7 +1352,7 @@
|
|
| 1352 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 1353 |
},
|
| 1354 |
"model": "qwengr00t",
|
| 1355 |
-
"model_repo": "
|
| 1356 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 1357 |
"protocol": {
|
| 1358 |
"calibration_rounds": 2,
|
|
@@ -1526,7 +1526,7 @@
|
|
| 1526 |
"method_sources": "cases/l40s/inverted_pendulum/qwengr00t/provenance/method_sources.json",
|
| 1527 |
"active_experiment": "cases/l40s/inverted_pendulum/qwengr00t/experiment.json",
|
| 1528 |
"measurement_source": {
|
| 1529 |
-
"repo_id": "
|
| 1530 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 1531 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/inverted_pendulum/qwengr00t",
|
| 1532 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/inverted_pendulum/qwengr00t",
|
|
@@ -1567,7 +1567,7 @@
|
|
| 1567 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 1568 |
},
|
| 1569 |
"model": "qwenoft",
|
| 1570 |
-
"model_repo": "
|
| 1571 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 1572 |
"protocol": {
|
| 1573 |
"calibration_rounds": 2,
|
|
@@ -1741,7 +1741,7 @@
|
|
| 1741 |
"method_sources": "cases/a100/inverted_pendulum/qwenoft/provenance/method_sources.json",
|
| 1742 |
"active_experiment": "cases/a100/inverted_pendulum/qwenoft/experiment.json",
|
| 1743 |
"measurement_source": {
|
| 1744 |
-
"repo_id": "
|
| 1745 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 1746 |
"source_ref": "experiments/sim2real-calibration/cases/a100/inverted_pendulum/qwenoft",
|
| 1747 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/inverted_pendulum/qwenoft",
|
|
@@ -1782,7 +1782,7 @@
|
|
| 1782 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 1783 |
},
|
| 1784 |
"model": "qwengr00t",
|
| 1785 |
-
"model_repo": "
|
| 1786 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 1787 |
"protocol": {
|
| 1788 |
"calibration_rounds": 2,
|
|
@@ -1956,7 +1956,7 @@
|
|
| 1956 |
"method_sources": "cases/rtx3090/inverted_pendulum/qwengr00t/provenance/method_sources.json",
|
| 1957 |
"active_experiment": "cases/rtx3090/inverted_pendulum/qwengr00t/experiment.json",
|
| 1958 |
"measurement_source": {
|
| 1959 |
-
"repo_id": "
|
| 1960 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 1961 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/inverted_pendulum/qwengr00t",
|
| 1962 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/inverted_pendulum/qwengr00t",
|
|
@@ -1997,7 +1997,7 @@
|
|
| 1997 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 1998 |
},
|
| 1999 |
"model": "qwengr00t",
|
| 2000 |
-
"model_repo": "
|
| 2001 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 2002 |
"protocol": {
|
| 2003 |
"calibration_rounds": 2,
|
|
@@ -2171,7 +2171,7 @@
|
|
| 2171 |
"method_sources": "cases/a100/inverted_pendulum/qwengr00t/provenance/method_sources.json",
|
| 2172 |
"active_experiment": "cases/a100/inverted_pendulum/qwengr00t/experiment.json",
|
| 2173 |
"measurement_source": {
|
| 2174 |
-
"repo_id": "
|
| 2175 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 2176 |
"source_ref": "experiments/sim2real-calibration/cases/a100/inverted_pendulum/qwengr00t",
|
| 2177 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/inverted_pendulum/qwengr00t",
|
|
@@ -2191,7 +2191,7 @@
|
|
| 2191 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
|
| 2192 |
"eval_source": {
|
| 2193 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 2194 |
-
"repo_id": "
|
| 2195 |
"repo_type": "model",
|
| 2196 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 2197 |
},
|
|
@@ -2199,7 +2199,7 @@
|
|
| 2199 |
"policy_files": {},
|
| 2200 |
"training_profile": {
|
| 2201 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
|
| 2202 |
-
"repo_id": "
|
| 2203 |
"repo_type": "model",
|
| 2204 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 2205 |
}
|
|
@@ -2209,7 +2209,7 @@
|
|
| 2209 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 2210 |
},
|
| 2211 |
"model": "qwenoft",
|
| 2212 |
-
"model_repo": "
|
| 2213 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 2214 |
"protocol": {
|
| 2215 |
"calibration_rounds": 2,
|
|
@@ -2383,7 +2383,7 @@
|
|
| 2383 |
"method_sources": "cases/rtx5090/flappy/qwenoft/provenance/method_sources.json",
|
| 2384 |
"active_experiment": "cases/rtx5090/flappy/qwenoft/experiment.json",
|
| 2385 |
"measurement_source": {
|
| 2386 |
-
"repo_id": "
|
| 2387 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 2388 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/flappy/qwenoft",
|
| 2389 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/flappy/qwenoft",
|
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@@ -2392,7 +2392,7 @@
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|
| 2392 |
},
|
| 2393 |
"a100/mikasa_intercept_grab_fast/qwengr00t": {
|
| 2394 |
"case_id": "a100/mikasa_intercept_grab_fast/qwengr00t",
|
| 2395 |
-
"repo_id": "
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| 2396 |
"revision": "7bf45b7b1de35a9d710327a447533f2281108138",
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| 2397 |
"source_ref": "sim2real-correction/20261001/a100/mikasa_intercept_grab_fast/qwengr00t",
|
| 2398 |
"env_fps": 12.912609126029393,
|
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@@ -2412,7 +2412,7 @@
|
|
| 2412 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwengr00t/eval_config.yaml",
|
| 2413 |
"corrected_eval_code_revision": "61e5210d",
|
| 2414 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 2415 |
-
"repo_id": "
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| 2416 |
"repo_type": "model",
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"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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| 2418 |
},
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@@ -2422,7 +2422,7 @@
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| 2422 |
},
|
| 2423 |
"training_profile": {
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| 2424 |
"path": "profiles/qwengr00t/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 2425 |
-
"repo_id": "
|
| 2426 |
"repo_type": "dataset",
|
| 2427 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
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}
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@@ -2442,7 +2442,7 @@
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|
| 2442 |
"vast_instance_id": 53562475
|
| 2443 |
},
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| 2444 |
"model": "qwengr00t",
|
| 2445 |
-
"model_repo": "
|
| 2446 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
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| 2447 |
"protocol": {
|
| 2448 |
"calibration_rounds": 2,
|
|
@@ -2618,7 +2618,7 @@
|
|
| 2618 |
"method_sources": "cases/a100/mikasa_intercept_grab_fast/qwengr00t/provenance/method_sources.json",
|
| 2619 |
"active_experiment": "cases/a100/mikasa_intercept_grab_fast/qwengr00t/experiment.json",
|
| 2620 |
"measurement_source": {
|
| 2621 |
-
"repo_id": "
|
| 2622 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 2623 |
"source_ref": "experiments/sim2real-calibration/cases/a100/mikasa_intercept_grab_fast/qwengr00t",
|
| 2624 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/mikasa_intercept_grab_fast/qwengr00t",
|
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@@ -2627,7 +2627,7 @@
|
|
| 2627 |
},
|
| 2628 |
"a100/mikasa_intercept_grab_fast/qwenoft": {
|
| 2629 |
"case_id": "a100/mikasa_intercept_grab_fast/qwenoft",
|
| 2630 |
-
"repo_id": "
|
| 2631 |
"revision": "b74c1ff0ea6e31cf0b90d1c9f78e87d53cd93546",
|
| 2632 |
"source_ref": "sim2real-correction/20261001/a100/mikasa_intercept_grab_fast/qwenoft",
|
| 2633 |
"env_fps": 17.59980650874431,
|
|
@@ -2647,7 +2647,7 @@
|
|
| 2647 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwenoft/eval_config.yaml",
|
| 2648 |
"corrected_eval_code_revision": "61e5210d",
|
| 2649 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 2650 |
-
"repo_id": "
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| 2651 |
"repo_type": "model",
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"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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},
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@@ -2657,7 +2657,7 @@
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| 2657 |
},
|
| 2658 |
"training_profile": {
|
| 2659 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 2660 |
-
"repo_id": "
|
| 2661 |
"repo_type": "dataset",
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| 2662 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
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}
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@@ -2677,7 +2677,7 @@
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| 2677 |
"vast_instance_id": 53562475
|
| 2678 |
},
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| 2679 |
"model": "qwenoft",
|
| 2680 |
-
"model_repo": "
|
| 2681 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 2682 |
"protocol": {
|
| 2683 |
"calibration_rounds": 2,
|
|
@@ -2853,7 +2853,7 @@
|
|
| 2853 |
"method_sources": "cases/a100/mikasa_intercept_grab_fast/qwenoft/provenance/method_sources.json",
|
| 2854 |
"active_experiment": "cases/a100/mikasa_intercept_grab_fast/qwenoft/experiment.json",
|
| 2855 |
"measurement_source": {
|
| 2856 |
-
"repo_id": "
|
| 2857 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 2858 |
"source_ref": "experiments/sim2real-calibration/cases/a100/mikasa_intercept_grab_fast/qwenoft",
|
| 2859 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/mikasa_intercept_grab_fast/qwenoft",
|
|
@@ -2862,7 +2862,7 @@
|
|
| 2862 |
},
|
| 2863 |
"l40s/mikasa_intercept_grab_fast/qwengr00t": {
|
| 2864 |
"case_id": "l40s/mikasa_intercept_grab_fast/qwengr00t",
|
| 2865 |
-
"repo_id": "
|
| 2866 |
"revision": "92f676125160cb2fda902494b7354c4fd3d924be",
|
| 2867 |
"source_ref": "sim2real-correction/20261001/l40s/mikasa_intercept_grab_fast/qwengr00t",
|
| 2868 |
"env_fps": 19.826076409320432,
|
|
@@ -2882,7 +2882,7 @@
|
|
| 2882 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwengr00t/eval_config.yaml",
|
| 2883 |
"corrected_eval_code_revision": "61e5210d",
|
| 2884 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 2885 |
-
"repo_id": "
|
| 2886 |
"repo_type": "model",
|
| 2887 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 2888 |
},
|
|
@@ -2892,7 +2892,7 @@
|
|
| 2892 |
},
|
| 2893 |
"training_profile": {
|
| 2894 |
"path": "profiles/qwengr00t/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 2895 |
-
"repo_id": "
|
| 2896 |
"repo_type": "dataset",
|
| 2897 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 2898 |
}
|
|
@@ -2912,7 +2912,7 @@
|
|
| 2912 |
"vast_instance_id": 53673069
|
| 2913 |
},
|
| 2914 |
"model": "qwengr00t",
|
| 2915 |
-
"model_repo": "
|
| 2916 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 2917 |
"protocol": {
|
| 2918 |
"calibration_rounds": 2,
|
|
@@ -3088,7 +3088,7 @@
|
|
| 3088 |
"method_sources": "cases/l40s/mikasa_intercept_grab_fast/qwengr00t/provenance/method_sources.json",
|
| 3089 |
"active_experiment": "cases/l40s/mikasa_intercept_grab_fast/qwengr00t/experiment.json",
|
| 3090 |
"measurement_source": {
|
| 3091 |
-
"repo_id": "
|
| 3092 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 3093 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/mikasa_intercept_grab_fast/qwengr00t",
|
| 3094 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/mikasa_intercept_grab_fast/qwengr00t",
|
|
@@ -3097,7 +3097,7 @@
|
|
| 3097 |
},
|
| 3098 |
"l40s/mikasa_intercept_grab_fast/qwenoft": {
|
| 3099 |
"case_id": "l40s/mikasa_intercept_grab_fast/qwenoft",
|
| 3100 |
-
"repo_id": "
|
| 3101 |
"revision": "2f335d335260d8908e8910eee4c9f29513a43c82",
|
| 3102 |
"source_ref": "sim2real-correction/20261001/l40s/mikasa_intercept_grab_fast/qwenoft",
|
| 3103 |
"env_fps": 28.840370412264885,
|
|
@@ -3117,7 +3117,7 @@
|
|
| 3117 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwenoft/eval_config.yaml",
|
| 3118 |
"corrected_eval_code_revision": "61e5210d",
|
| 3119 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 3120 |
-
"repo_id": "
|
| 3121 |
"repo_type": "model",
|
| 3122 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 3123 |
},
|
|
@@ -3127,7 +3127,7 @@
|
|
| 3127 |
},
|
| 3128 |
"training_profile": {
|
| 3129 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 3130 |
-
"repo_id": "
|
| 3131 |
"repo_type": "dataset",
|
| 3132 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 3133 |
}
|
|
@@ -3147,7 +3147,7 @@
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|
| 3147 |
"vast_instance_id": 53673069
|
| 3148 |
},
|
| 3149 |
"model": "qwenoft",
|
| 3150 |
-
"model_repo": "
|
| 3151 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 3152 |
"protocol": {
|
| 3153 |
"calibration_rounds": 2,
|
|
@@ -3323,7 +3323,7 @@
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|
| 3323 |
"method_sources": "cases/l40s/mikasa_intercept_grab_fast/qwenoft/provenance/method_sources.json",
|
| 3324 |
"active_experiment": "cases/l40s/mikasa_intercept_grab_fast/qwenoft/experiment.json",
|
| 3325 |
"measurement_source": {
|
| 3326 |
-
"repo_id": "
|
| 3327 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 3328 |
"source_ref": "experiments/sim2real-calibration/cases/l40s/mikasa_intercept_grab_fast/qwenoft",
|
| 3329 |
"raw_traces_path": "experiments/sim2real-calibration/cases/l40s/mikasa_intercept_grab_fast/qwenoft",
|
|
@@ -3332,7 +3332,7 @@
|
|
| 3332 |
},
|
| 3333 |
"rtx3090/mikasa_intercept_grab_fast/qwengr00t": {
|
| 3334 |
"case_id": "rtx3090/mikasa_intercept_grab_fast/qwengr00t",
|
| 3335 |
-
"repo_id": "
|
| 3336 |
"revision": "5c23634c4c4c72d5819a8a3002d0764468e4487a",
|
| 3337 |
"source_ref": "sim2real-correction/20261001/rtx3090/mikasa_intercept_grab_fast/qwengr00t",
|
| 3338 |
"env_fps": 13.28570046288144,
|
|
@@ -3352,7 +3352,7 @@
|
|
| 3352 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwengr00t/eval_config.yaml",
|
| 3353 |
"corrected_eval_code_revision": "61e5210d",
|
| 3354 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 3355 |
-
"repo_id": "
|
| 3356 |
"repo_type": "model",
|
| 3357 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 3358 |
},
|
|
@@ -3362,7 +3362,7 @@
|
|
| 3362 |
},
|
| 3363 |
"training_profile": {
|
| 3364 |
"path": "profiles/qwengr00t/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 3365 |
-
"repo_id": "
|
| 3366 |
"repo_type": "dataset",
|
| 3367 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 3368 |
}
|
|
@@ -3382,7 +3382,7 @@
|
|
| 3382 |
"vast_instance_id": 53562042
|
| 3383 |
},
|
| 3384 |
"model": "qwengr00t",
|
| 3385 |
-
"model_repo": "
|
| 3386 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 3387 |
"protocol": {
|
| 3388 |
"calibration_rounds": 2,
|
|
@@ -3558,7 +3558,7 @@
|
|
| 3558 |
"method_sources": "cases/rtx3090/mikasa_intercept_grab_fast/qwengr00t/provenance/method_sources.json",
|
| 3559 |
"active_experiment": "cases/rtx3090/mikasa_intercept_grab_fast/qwengr00t/experiment.json",
|
| 3560 |
"measurement_source": {
|
| 3561 |
-
"repo_id": "
|
| 3562 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 3563 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/mikasa_intercept_grab_fast/qwengr00t",
|
| 3564 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/mikasa_intercept_grab_fast/qwengr00t",
|
|
@@ -3567,7 +3567,7 @@
|
|
| 3567 |
},
|
| 3568 |
"rtx3090/mikasa_intercept_grab_fast/qwenoft": {
|
| 3569 |
"case_id": "rtx3090/mikasa_intercept_grab_fast/qwenoft",
|
| 3570 |
-
"repo_id": "
|
| 3571 |
"revision": "25dbf9265f7552715bb8f022914104c338522162",
|
| 3572 |
"source_ref": "sim2real-correction/20261001/rtx3090/mikasa_intercept_grab_fast/qwenoft",
|
| 3573 |
"env_fps": 19.782325219388625,
|
|
@@ -3587,7 +3587,7 @@
|
|
| 3587 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwenoft/eval_config.yaml",
|
| 3588 |
"corrected_eval_code_revision": "61e5210d",
|
| 3589 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 3590 |
-
"repo_id": "
|
| 3591 |
"repo_type": "model",
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| 3592 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 3593 |
},
|
|
@@ -3597,7 +3597,7 @@
|
|
| 3597 |
},
|
| 3598 |
"training_profile": {
|
| 3599 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 3600 |
-
"repo_id": "
|
| 3601 |
"repo_type": "dataset",
|
| 3602 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 3603 |
}
|
|
@@ -3617,7 +3617,7 @@
|
|
| 3617 |
"vast_instance_id": 53562042
|
| 3618 |
},
|
| 3619 |
"model": "qwenoft",
|
| 3620 |
-
"model_repo": "
|
| 3621 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 3622 |
"protocol": {
|
| 3623 |
"calibration_rounds": 2,
|
|
@@ -3793,7 +3793,7 @@
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|
| 3793 |
"method_sources": "cases/rtx3090/mikasa_intercept_grab_fast/qwenoft/provenance/method_sources.json",
|
| 3794 |
"active_experiment": "cases/rtx3090/mikasa_intercept_grab_fast/qwenoft/experiment.json",
|
| 3795 |
"measurement_source": {
|
| 3796 |
-
"repo_id": "
|
| 3797 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 3798 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/mikasa_intercept_grab_fast/qwenoft",
|
| 3799 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/mikasa_intercept_grab_fast/qwenoft",
|
|
@@ -3802,7 +3802,7 @@
|
|
| 3802 |
},
|
| 3803 |
"rtx4090/mikasa_intercept_grab_fast/qwengr00t": {
|
| 3804 |
"case_id": "rtx4090/mikasa_intercept_grab_fast/qwengr00t",
|
| 3805 |
-
"repo_id": "
|
| 3806 |
"revision": "7dd1a67ea71d55638494dc8bc62965cdc1138792",
|
| 3807 |
"source_ref": "sim2real-correction/20261001/rtx4090/mikasa_intercept_grab_fast/qwengr00t",
|
| 3808 |
"env_fps": 13.209436635066602,
|
|
@@ -3822,7 +3822,7 @@
|
|
| 3822 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwengr00t/eval_config.yaml",
|
| 3823 |
"corrected_eval_code_revision": "61e5210d",
|
| 3824 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 3825 |
-
"repo_id": "
|
| 3826 |
"repo_type": "model",
|
| 3827 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 3828 |
},
|
|
@@ -3832,7 +3832,7 @@
|
|
| 3832 |
},
|
| 3833 |
"training_profile": {
|
| 3834 |
"path": "profiles/qwengr00t/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 3835 |
-
"repo_id": "
|
| 3836 |
"repo_type": "dataset",
|
| 3837 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 3838 |
}
|
|
@@ -3852,7 +3852,7 @@
|
|
| 3852 |
"vast_instance_id": 53562127
|
| 3853 |
},
|
| 3854 |
"model": "qwengr00t",
|
| 3855 |
-
"model_repo": "
|
| 3856 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 3857 |
"protocol": {
|
| 3858 |
"calibration_rounds": 2,
|
|
@@ -4028,7 +4028,7 @@
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| 4028 |
"method_sources": "cases/rtx4090/mikasa_intercept_grab_fast/qwengr00t/provenance/method_sources.json",
|
| 4029 |
"active_experiment": "cases/rtx4090/mikasa_intercept_grab_fast/qwengr00t/experiment.json",
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| 4030 |
"measurement_source": {
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| 4031 |
-
"repo_id": "
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| 4032 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
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| 4033 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/mikasa_intercept_grab_fast/qwengr00t",
|
| 4034 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/mikasa_intercept_grab_fast/qwengr00t",
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@@ -4037,7 +4037,7 @@
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| 4037 |
},
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| 4038 |
"rtx4090/mikasa_intercept_grab_fast/qwenoft": {
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| 4039 |
"case_id": "rtx4090/mikasa_intercept_grab_fast/qwenoft",
|
| 4040 |
-
"repo_id": "
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| 4041 |
"revision": "15b4a29fa239461cc41d83e27a60dc398b75ecb2",
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| 4042 |
"source_ref": "sim2real-correction/20261001/rtx4090/mikasa_intercept_grab_fast/qwenoft",
|
| 4043 |
"env_fps": 19.762539376026627,
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@@ -4057,7 +4057,7 @@
|
|
| 4057 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwenoft/eval_config.yaml",
|
| 4058 |
"corrected_eval_code_revision": "61e5210d",
|
| 4059 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
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| 4060 |
-
"repo_id": "
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| 4061 |
"repo_type": "model",
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"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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},
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@@ -4067,7 +4067,7 @@
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| 4067 |
},
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| 4068 |
"training_profile": {
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| 4069 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 4070 |
-
"repo_id": "
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| 4071 |
"repo_type": "dataset",
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"revision": "66414463f2a609316da63935941a79abf0a73ce9"
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}
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@@ -4087,7 +4087,7 @@
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"vast_instance_id": 53562127
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},
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"model": "qwenoft",
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| 4090 |
-
"model_repo": "
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| 4091 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
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"protocol": {
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| 4093 |
"calibration_rounds": 2,
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@@ -4263,7 +4263,7 @@
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| 4263 |
"method_sources": "cases/rtx4090/mikasa_intercept_grab_fast/qwenoft/provenance/method_sources.json",
|
| 4264 |
"active_experiment": "cases/rtx4090/mikasa_intercept_grab_fast/qwenoft/experiment.json",
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| 4265 |
"measurement_source": {
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| 4266 |
-
"repo_id": "
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| 4267 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 4268 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/mikasa_intercept_grab_fast/qwenoft",
|
| 4269 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/mikasa_intercept_grab_fast/qwenoft",
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@@ -4272,7 +4272,7 @@
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| 4272 |
},
|
| 4273 |
"rtx5090/mikasa_intercept_grab_fast/qwengr00t": {
|
| 4274 |
"case_id": "rtx5090/mikasa_intercept_grab_fast/qwengr00t",
|
| 4275 |
-
"repo_id": "
|
| 4276 |
"revision": "9139470aec73db765b697a65ce1ef4d194bea33b",
|
| 4277 |
"source_ref": "sim2real-correction/20261001/rtx5090/mikasa_intercept_grab_fast/qwengr00t",
|
| 4278 |
"env_fps": 19.46703760952865,
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|
@@ -4292,7 +4292,7 @@
|
|
| 4292 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwengr00t/eval_config.yaml",
|
| 4293 |
"corrected_eval_code_revision": "61e5210d",
|
| 4294 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwengr00t-h1/mikasa_qwengr00t_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 4295 |
-
"repo_id": "
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"repo_type": "model",
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"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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},
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@@ -4302,7 +4302,7 @@
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},
|
| 4303 |
"training_profile": {
|
| 4304 |
"path": "profiles/qwengr00t/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 4305 |
-
"repo_id": "
|
| 4306 |
"repo_type": "dataset",
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"revision": "66414463f2a609316da63935941a79abf0a73ce9"
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}
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@@ -4322,7 +4322,7 @@
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"vast_instance_id": 53562174
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},
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"model": "qwengr00t",
|
| 4325 |
-
"model_repo": "
|
| 4326 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
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"protocol": {
|
| 4328 |
"calibration_rounds": 2,
|
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@@ -4498,7 +4498,7 @@
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| 4498 |
"method_sources": "cases/rtx5090/mikasa_intercept_grab_fast/qwengr00t/provenance/method_sources.json",
|
| 4499 |
"active_experiment": "cases/rtx5090/mikasa_intercept_grab_fast/qwengr00t/experiment.json",
|
| 4500 |
"measurement_source": {
|
| 4501 |
-
"repo_id": "
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| 4502 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 4503 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/mikasa_intercept_grab_fast/qwengr00t",
|
| 4504 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/mikasa_intercept_grab_fast/qwengr00t",
|
|
@@ -4507,7 +4507,7 @@
|
|
| 4507 |
},
|
| 4508 |
"rtx5090/mikasa_intercept_grab_fast/qwenoft": {
|
| 4509 |
"case_id": "rtx5090/mikasa_intercept_grab_fast/qwenoft",
|
| 4510 |
-
"repo_id": "
|
| 4511 |
"revision": "12e82bf6f9ae140e9952585fc887030e232ffef2",
|
| 4512 |
"source_ref": "sim2real-correction/20261001/rtx5090/mikasa_intercept_grab_fast/qwenoft",
|
| 4513 |
"env_fps": 34.25906786736514,
|
|
@@ -4527,7 +4527,7 @@
|
|
| 4527 |
"archive": "outputs/tasks/mikasa_intercept_grab_fast/h1_hold_last_reval_20260923/qwenoft/eval_config.yaml",
|
| 4528 |
"corrected_eval_code_revision": "61e5210d",
|
| 4529 |
"path": "latency-aware/mikasa-intercept-grab-fast/vla/starvla-qwenoft-h1/mikasa_qwenoft_latency_3090_2xh200_20260922_evalfix_20260923/provenance.json",
|
| 4530 |
-
"repo_id": "
|
| 4531 |
"repo_type": "model",
|
| 4532 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 4533 |
},
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|
@@ -4537,7 +4537,7 @@
|
|
| 4537 |
},
|
| 4538 |
"training_profile": {
|
| 4539 |
"path": "profiles/qwenoft/1x-rtx3090/mikasa_intercept_grab_fast/instance_3a0d42681a03715c/profile.json",
|
| 4540 |
-
"repo_id": "
|
| 4541 |
"repo_type": "dataset",
|
| 4542 |
"revision": "66414463f2a609316da63935941a79abf0a73ce9"
|
| 4543 |
}
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|
@@ -4557,7 +4557,7 @@
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|
| 4557 |
"vast_instance_id": 53562174
|
| 4558 |
},
|
| 4559 |
"model": "qwenoft",
|
| 4560 |
-
"model_repo": "
|
| 4561 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 4562 |
"protocol": {
|
| 4563 |
"calibration_rounds": 2,
|
|
@@ -4733,7 +4733,7 @@
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|
| 4733 |
"method_sources": "cases/rtx5090/mikasa_intercept_grab_fast/qwenoft/provenance/method_sources.json",
|
| 4734 |
"active_experiment": "cases/rtx5090/mikasa_intercept_grab_fast/qwenoft/experiment.json",
|
| 4735 |
"measurement_source": {
|
| 4736 |
-
"repo_id": "
|
| 4737 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 4738 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/mikasa_intercept_grab_fast/qwenoft",
|
| 4739 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/mikasa_intercept_grab_fast/qwenoft",
|
|
@@ -4741,7 +4741,7 @@
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|
| 4741 |
}
|
| 4742 |
},
|
| 4743 |
"rtx5090/inverted_pendulum/qwenoft": {
|
| 4744 |
-
"repo_id": "
|
| 4745 |
"revision": "f2f930cf76c782f1e385a937907e531f6a49f85d",
|
| 4746 |
"source_ref": "sim2real-correction/20261001/rtx5090/inverted_pendulum/qwenoft",
|
| 4747 |
"case_id": "rtx5090/inverted_pendulum/qwenoft",
|
|
@@ -4791,7 +4791,7 @@
|
|
| 4791 |
"vast_instance_id": 53562174
|
| 4792 |
},
|
| 4793 |
"model": "qwenoft",
|
| 4794 |
-
"model_repo": "
|
| 4795 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 4796 |
"protocol": {
|
| 4797 |
"calibration_rounds": 2,
|
|
@@ -4967,7 +4967,7 @@
|
|
| 4967 |
"method_sources": "cases/rtx5090/inverted_pendulum/qwenoft/provenance/method_sources.json",
|
| 4968 |
"active_experiment": "cases/rtx5090/inverted_pendulum/qwenoft/experiment.json",
|
| 4969 |
"measurement_source": {
|
| 4970 |
-
"repo_id": "
|
| 4971 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 4972 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/inverted_pendulum/qwenoft",
|
| 4973 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/inverted_pendulum/qwenoft",
|
|
@@ -4975,7 +4975,7 @@
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|
| 4975 |
}
|
| 4976 |
},
|
| 4977 |
"rtx4090/inverted_pendulum/qwengr00t": {
|
| 4978 |
-
"repo_id": "
|
| 4979 |
"revision": "14357e982b895a6dcaebaa729913b306421ebe18",
|
| 4980 |
"source_ref": "sim2real-correction/20261001/rtx4090/inverted_pendulum/qwengr00t",
|
| 4981 |
"case_id": "rtx4090/inverted_pendulum/qwengr00t",
|
|
@@ -5024,7 +5024,7 @@
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|
| 5024 |
"vast_instance_id": 53562127
|
| 5025 |
},
|
| 5026 |
"model": "qwengr00t",
|
| 5027 |
-
"model_repo": "
|
| 5028 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 5029 |
"protocol": {
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| 5030 |
"calibration_rounds": 2,
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|
@@ -5200,7 +5200,7 @@
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|
| 5200 |
"method_sources": "cases/rtx4090/inverted_pendulum/qwengr00t/provenance/method_sources.json",
|
| 5201 |
"active_experiment": "cases/rtx4090/inverted_pendulum/qwengr00t/experiment.json",
|
| 5202 |
"measurement_source": {
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| 5203 |
-
"repo_id": "
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| 5204 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5205 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/inverted_pendulum/qwengr00t",
|
| 5206 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/inverted_pendulum/qwengr00t",
|
|
@@ -5227,7 +5227,7 @@
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|
| 5227 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 5228 |
"eval_source": {
|
| 5229 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5230 |
-
"repo_id": "
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| 5231 |
"repo_type": "model",
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| 5232 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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| 5233 |
},
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|
@@ -5235,7 +5235,7 @@
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|
| 5235 |
"policy_files": {},
|
| 5236 |
"training_profile": {
|
| 5237 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 5238 |
-
"repo_id": "
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| 5239 |
"repo_type": "model",
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| 5240 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5241 |
}
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|
@@ -5245,7 +5245,7 @@
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|
| 5245 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 5246 |
},
|
| 5247 |
"model": "qwengr00t",
|
| 5248 |
-
"model_repo": "
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| 5249 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
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| 5250 |
"protocol": {
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| 5251 |
"calibration_rounds": 2,
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|
@@ -5413,7 +5413,7 @@
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|
| 5413 |
"method_sources": "cases/rtx5090/flappy/qwengr00t/provenance/method_sources.json",
|
| 5414 |
"active_experiment": "cases/rtx5090/flappy/qwengr00t/experiment.json",
|
| 5415 |
"measurement_source": {
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| 5416 |
-
"repo_id": "
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| 5417 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5418 |
"source_ref": "experiments/sim2real-calibration/cases/rtx5090/flappy/qwengr00t",
|
| 5419 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx5090/flappy/qwengr00t",
|
|
@@ -5440,7 +5440,7 @@
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|
| 5440 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
|
| 5441 |
"eval_source": {
|
| 5442 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5443 |
-
"repo_id": "
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| 5444 |
"repo_type": "model",
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| 5445 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
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},
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|
@@ -5448,7 +5448,7 @@
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|
| 5448 |
"policy_files": {},
|
| 5449 |
"training_profile": {
|
| 5450 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
|
| 5451 |
-
"repo_id": "
|
| 5452 |
"repo_type": "model",
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| 5453 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5454 |
}
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|
@@ -5458,7 +5458,7 @@
|
|
| 5458 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 5459 |
},
|
| 5460 |
"model": "qwenoft",
|
| 5461 |
-
"model_repo": "
|
| 5462 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 5463 |
"protocol": {
|
| 5464 |
"calibration_rounds": 2,
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|
@@ -5626,7 +5626,7 @@
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|
| 5626 |
"method_sources": "cases/rtx3090/flappy/qwenoft/provenance/method_sources.json",
|
| 5627 |
"active_experiment": "cases/rtx3090/flappy/qwenoft/experiment.json",
|
| 5628 |
"measurement_source": {
|
| 5629 |
-
"repo_id": "
|
| 5630 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5631 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwenoft",
|
| 5632 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwenoft",
|
|
@@ -5653,7 +5653,7 @@
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|
| 5653 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 5654 |
"eval_source": {
|
| 5655 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5656 |
-
"repo_id": "
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| 5657 |
"repo_type": "model",
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| 5658 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5659 |
},
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|
@@ -5661,7 +5661,7 @@
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|
| 5661 |
"policy_files": {},
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| 5662 |
"training_profile": {
|
| 5663 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 5664 |
-
"repo_id": "
|
| 5665 |
"repo_type": "model",
|
| 5666 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5667 |
}
|
|
@@ -5671,7 +5671,7 @@
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|
| 5671 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 5672 |
},
|
| 5673 |
"model": "qwengr00t",
|
| 5674 |
-
"model_repo": "
|
| 5675 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 5676 |
"protocol": {
|
| 5677 |
"calibration_rounds": 2,
|
|
@@ -5839,7 +5839,7 @@
|
|
| 5839 |
"method_sources": "cases/a100/flappy/qwengr00t/provenance/method_sources.json",
|
| 5840 |
"active_experiment": "cases/a100/flappy/qwengr00t/experiment.json",
|
| 5841 |
"measurement_source": {
|
| 5842 |
-
"repo_id": "
|
| 5843 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5844 |
"source_ref": "experiments/sim2real-calibration/cases/a100/flappy/qwengr00t",
|
| 5845 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/flappy/qwengr00t",
|
|
@@ -5867,7 +5867,7 @@
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|
| 5867 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 5868 |
"eval_source": {
|
| 5869 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5870 |
-
"repo_id": "
|
| 5871 |
"repo_type": "model",
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| 5872 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5873 |
},
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|
@@ -5875,7 +5875,7 @@
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|
| 5875 |
"policy_files": {},
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"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
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"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
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},
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"model_repo": "
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"method_sources": "cases/rtx3090/flappy/qwengr00t/provenance/method_sources.json",
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"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
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"eval_source": {
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
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"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
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"policy_files": {},
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"training_profile": {
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
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"repo_id": "
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"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
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},
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"model": "qwenoft",
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"model_repo": "
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"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
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"protocol": {
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"calibration_rounds": 2,
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"method_sources": "cases/rtx4090/flappy/qwenoft/provenance/method_sources.json",
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"active_experiment": "cases/rtx4090/flappy/qwenoft/experiment.json",
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"measurement_source": {
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"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/flappy/qwenoft",
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"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
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"eval_source": {
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
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"training_profile": {
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"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
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"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
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"model_repo": "
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@@ -6481,7 +6481,7 @@
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"method_sources": "cases/a100/flappy/qwenoft/provenance/method_sources.json",
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"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
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"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
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"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
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@@ -6695,7 +6695,7 @@
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"method_sources": "cases/rtx4090/flappy/qwengr00t/provenance/method_sources.json",
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@@ -6704,5 +6704,5 @@
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{
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|
|
|
|
| 5626 |
"method_sources": "cases/rtx3090/flappy/qwenoft/provenance/method_sources.json",
|
| 5627 |
"active_experiment": "cases/rtx3090/flappy/qwenoft/experiment.json",
|
| 5628 |
"measurement_source": {
|
| 5629 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 5630 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5631 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwenoft",
|
| 5632 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwenoft",
|
|
|
|
| 5653 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 5654 |
"eval_source": {
|
| 5655 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5656 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 5657 |
"repo_type": "model",
|
| 5658 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5659 |
},
|
|
|
|
| 5661 |
"policy_files": {},
|
| 5662 |
"training_profile": {
|
| 5663 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 5664 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 5665 |
"repo_type": "model",
|
| 5666 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5667 |
}
|
|
|
|
| 5671 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 5672 |
},
|
| 5673 |
"model": "qwengr00t",
|
| 5674 |
+
"model_repo": "MLL-Lab/LAGEN-models",
|
| 5675 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 5676 |
"protocol": {
|
| 5677 |
"calibration_rounds": 2,
|
|
|
|
| 5839 |
"method_sources": "cases/a100/flappy/qwengr00t/provenance/method_sources.json",
|
| 5840 |
"active_experiment": "cases/a100/flappy/qwengr00t/experiment.json",
|
| 5841 |
"measurement_source": {
|
| 5842 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 5843 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 5844 |
"source_ref": "experiments/sim2real-calibration/cases/a100/flappy/qwengr00t",
|
| 5845 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/flappy/qwengr00t",
|
|
|
|
| 5867 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 5868 |
"eval_source": {
|
| 5869 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 5870 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 5871 |
"repo_type": "model",
|
| 5872 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5873 |
},
|
|
|
|
| 5875 |
"policy_files": {},
|
| 5876 |
"training_profile": {
|
| 5877 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 5878 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 5879 |
"repo_type": "model",
|
| 5880 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 5881 |
}
|
|
|
|
| 5885 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 5886 |
},
|
| 5887 |
"model": "qwengr00t",
|
| 5888 |
+
"model_repo": "MLL-Lab/LAGEN-models",
|
| 5889 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 5890 |
"protocol": {
|
| 5891 |
"calibration_rounds": 2,
|
|
|
|
| 6053 |
"method_sources": "cases/rtx3090/flappy/qwengr00t/provenance/method_sources.json",
|
| 6054 |
"active_experiment": "cases/rtx3090/flappy/qwengr00t/experiment.json",
|
| 6055 |
"measurement_source": {
|
| 6056 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 6057 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 6058 |
"source_ref": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwengr00t",
|
| 6059 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx3090/flappy/qwengr00t",
|
|
|
|
| 6081 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
|
| 6082 |
"eval_source": {
|
| 6083 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 6084 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6085 |
"repo_type": "model",
|
| 6086 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6087 |
},
|
|
|
|
| 6089 |
"policy_files": {},
|
| 6090 |
"training_profile": {
|
| 6091 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
|
| 6092 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6093 |
"repo_type": "model",
|
| 6094 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6095 |
}
|
|
|
|
| 6099 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 6100 |
},
|
| 6101 |
"model": "qwenoft",
|
| 6102 |
+
"model_repo": "MLL-Lab/LAGEN-models",
|
| 6103 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 6104 |
"protocol": {
|
| 6105 |
"calibration_rounds": 2,
|
|
|
|
| 6267 |
"method_sources": "cases/rtx4090/flappy/qwenoft/provenance/method_sources.json",
|
| 6268 |
"active_experiment": "cases/rtx4090/flappy/qwenoft/experiment.json",
|
| 6269 |
"measurement_source": {
|
| 6270 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 6271 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 6272 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/flappy/qwenoft",
|
| 6273 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/flappy/qwenoft",
|
|
|
|
| 6295 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwenoft.yaml",
|
| 6296 |
"eval_source": {
|
| 6297 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 6298 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6299 |
"repo_type": "model",
|
| 6300 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6301 |
},
|
|
|
|
| 6303 |
"policy_files": {},
|
| 6304 |
"training_profile": {
|
| 6305 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy-qwenoft-hist8-scratch-s42-v2/profiles/profile.json",
|
| 6306 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6307 |
"repo_type": "model",
|
| 6308 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6309 |
}
|
|
|
|
| 6313 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 6314 |
},
|
| 6315 |
"model": "qwenoft",
|
| 6316 |
+
"model_repo": "MLL-Lab/LAGEN-models",
|
| 6317 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 6318 |
"protocol": {
|
| 6319 |
"calibration_rounds": 2,
|
|
|
|
| 6481 |
"method_sources": "cases/a100/flappy/qwenoft/provenance/method_sources.json",
|
| 6482 |
"active_experiment": "cases/a100/flappy/qwenoft/experiment.json",
|
| 6483 |
"measurement_source": {
|
| 6484 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 6485 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 6486 |
"source_ref": "experiments/sim2real-calibration/cases/a100/flappy/qwenoft",
|
| 6487 |
"raw_traces_path": "experiments/sim2real-calibration/cases/a100/flappy/qwenoft",
|
|
|
|
| 6509 |
"eval_config": "configs/experiments/sim2real/eval/flappy_qwengr00t.yaml",
|
| 6510 |
"eval_source": {
|
| 6511 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/evaluations/profile/eval_config.yaml",
|
| 6512 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6513 |
"repo_type": "model",
|
| 6514 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6515 |
},
|
|
|
|
| 6517 |
"policy_files": {},
|
| 6518 |
"training_profile": {
|
| 6519 |
"path": "latency-aware/flappy/vla/starvla-qwengr00t-h1/flappy-qwengr00t-hist8-scratch-s42-v2/profiles/profile.json",
|
| 6520 |
+
"repo_id": "MLL-Lab/LAGEN-models",
|
| 6521 |
"repo_type": "model",
|
| 6522 |
"revision": "180da0effdaaaeacef218cf5fbaa4db41af67495"
|
| 6523 |
}
|
|
|
|
| 6527 |
"revision": "ebb281ec70b05090aa6165b016eac8ec08e71b17"
|
| 6528 |
},
|
| 6529 |
"model": "qwengr00t",
|
| 6530 |
+
"model_repo": "MLL-Lab/LAGEN-models",
|
| 6531 |
"model_revision": "180da0effdaaaeacef218cf5fbaa4db41af67495",
|
| 6532 |
"protocol": {
|
| 6533 |
"calibration_rounds": 2,
|
|
|
|
| 6695 |
"method_sources": "cases/rtx4090/flappy/qwengr00t/provenance/method_sources.json",
|
| 6696 |
"active_experiment": "cases/rtx4090/flappy/qwengr00t/experiment.json",
|
| 6697 |
"measurement_source": {
|
| 6698 |
+
"repo_id": "MLL-Lab/LAGEN-profiles",
|
| 6699 |
"revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 6700 |
"source_ref": "experiments/sim2real-calibration/cases/rtx4090/flappy/qwengr00t",
|
| 6701 |
"raw_traces_path": "experiments/sim2real-calibration/cases/rtx4090/flappy/qwengr00t",
|
|
|
|
| 6704 |
}
|
| 6705 |
},
|
| 6706 |
"profiles_revision": "01d85ac858121fb2ef4dee706802e533dbd82bc9",
|
| 6707 |
+
"raw_traces_repo": "MLL-Lab/LAGEN-profiles"
|
| 6708 |
}
|
experiments/sim2real-calibration/reproduction/program/SIM2REAL_RELEASE.md
CHANGED
|
@@ -26,7 +26,7 @@ split seed 为 `20261001`。环境 seed 为 `2000000 + 20 * run_id + episode_in_
|
|
| 26 |
远端逐局文件的 Git/LFS 身份与已核验内容一致。按这些内容重算 750 个 valid run pairs
|
| 27 |
和 120 个 case-method 点，结果与论文固定表一致。
|
| 28 |
|
| 29 |
-
[正式入口与 30-case 索引](https://huggingface.co/datasets/
|
| 30 |
固定 dataset revision：`7cf0da6324823aa98c8b4683c80f5dc75da0bb4f`。
|
| 31 |
固定 profiles revision：`01d85ac858121fb2ef4dee706802e533dbd82bc9`。
|
| 32 |
六个策略使用 `benchmark-models@180da0effdaaaeacef218cf5fbaa4db41af67495`。
|
|
@@ -52,7 +52,7 @@ RTX 5090 / Flappy / QwenOFT 复用 real，四种模拟方法均来自新完成
|
|
| 52 |
- `benchmark-datasets/experiments/sim2real-calibration`：实验设置、逐局结果、统计表和论文复现资料。
|
| 53 |
- `profiles/experiments/sim2real-calibration`：校准、原始 action/step/latency traces、日志和拟合 profile。
|
| 54 |
|
| 55 |
-
[ICLR 双 GPU、双 worker 归档](https://huggingface.co/datasets/
|
| 56 |
保留 3,000 real / 12,000 sim episodes。连续与隔离协议分别列出。
|
| 57 |
归档引用实际使用的 step-5,000 checkpoint。
|
| 58 |
早期 RTX 3090 六任务三模型、Flappy 预算与旧划分、修复前独立产物按明确清单从主分支清理。
|
|
|
|
| 26 |
远端逐局文件的 Git/LFS 身份与已核验内容一致。按这些内容重算 750 个 valid run pairs
|
| 27 |
和 120 个 case-method 点，结果与论文固定表一致。
|
| 28 |
|
| 29 |
+
[正式入口与 30-case 索引](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/7cf0da6324823aa98c8b4683c80f5dc75da0bb4f/experiments/sim2real-calibration)。
|
| 30 |
固定 dataset revision：`7cf0da6324823aa98c8b4683c80f5dc75da0bb4f`。
|
| 31 |
固定 profiles revision：`01d85ac858121fb2ef4dee706802e533dbd82bc9`。
|
| 32 |
六个策略使用 `benchmark-models@180da0effdaaaeacef218cf5fbaa4db41af67495`。
|
|
|
|
| 52 |
- `benchmark-datasets/experiments/sim2real-calibration`：实验设置、逐局结果、统计表和论文复现资料。
|
| 53 |
- `profiles/experiments/sim2real-calibration`：校准、原始 action/step/latency traces、日志和拟合 profile。
|
| 54 |
|
| 55 |
+
[ICLR 双 GPU、双 worker 归档](https://huggingface.co/datasets/MLL-Lab/LAGEN-datasets/tree/7cf0da6324823aa98c8b4683c80f5dc75da0bb4f/experiments/sim2real-calibration/archive/iclr-submission-two-gpu)
|
| 56 |
保留 3,000 real / 12,000 sim episodes。连续与隔离协议分别列出。
|
| 57 |
归档引用实际使用的 step-5,000 checkpoint。
|
| 58 |
早期 RTX 3090 六任务三模型、Flappy 预算与旧划分、修复前独立产物按明确清单从主分支清理。
|
experiments/sim2real-calibration/reproduction/scripts/experiments/sim2real/README.md
CHANGED
|
@@ -133,14 +133,14 @@ The `--stage real` command stops after held-out evaluation and publication:
|
|
| 133 |
5. Write/upload `real_runs.csv`, `real_summary.json`, and `REAL_DONE`.
|
| 134 |
|
| 135 |
Experiment manifests and episode results go to dataset
|
| 136 |
-
`
|
| 137 |
|
| 138 |
```text
|
| 139 |
experiments/sim2real-calibration/runs/<gpu-class>/<task>/<model>/<instance>/<experiment-id>/
|
| 140 |
```
|
| 141 |
|
| 142 |
Calibration, fitted profiles, action/step traces and runtime logs go to
|
| 143 |
-
`
|
| 144 |
Each publication commits measurement files first. It then commits experiment
|
| 145 |
files, a fixed `profile_source.json` and the stage marker to benchmark-datasets.
|
| 146 |
The dataset marker establishes successful stage publication. If the dataset
|
|
|
|
| 133 |
5. Write/upload `real_runs.csv`, `real_summary.json`, and `REAL_DONE`.
|
| 134 |
|
| 135 |
Experiment manifests and episode results go to dataset
|
| 136 |
+
`MLL-Lab/LAGEN-datasets`, under:
|
| 137 |
|
| 138 |
```text
|
| 139 |
experiments/sim2real-calibration/runs/<gpu-class>/<task>/<model>/<instance>/<experiment-id>/
|
| 140 |
```
|
| 141 |
|
| 142 |
Calibration, fitted profiles, action/step traces and runtime logs go to
|
| 143 |
+
`MLL-Lab/LAGEN-profiles`, under the same experiment prefix.
|
| 144 |
Each publication commits measurement files first. It then commits experiment
|
| 145 |
files, a fixed `profile_source.json` and the stage marker to benchmark-datasets.
|
| 146 |
The dataset marker establishes successful stage publication. If the dataset
|
experiments/task-transfer/demon-attack/manifest.json
CHANGED
|
@@ -10,7 +10,7 @@
|
|
| 10 |
{
|
| 11 |
"condition": "zero-latency-trained",
|
| 12 |
"checkpoint": {
|
| 13 |
-
"repo": "
|
| 14 |
"repo_type": "model",
|
| 15 |
"revision": "671e2a7451fda7f7dba5606c6d11183ebd804b6d",
|
| 16 |
"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep/checkpoints/steps_7000_model.safetensors"
|
|
@@ -22,7 +22,7 @@
|
|
| 22 |
{
|
| 23 |
"condition": "mixed-latency-trained",
|
| 24 |
"checkpoint": {
|
| 25 |
-
"repo": "
|
| 26 |
"repo_type": "model",
|
| 27 |
"revision": "671e2a7451fda7f7dba5606c6d11183ebd804b6d",
|
| 28 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_latency_mixed_024_exp1/checkpoints/steps_5000_model.safetensors"
|
|
@@ -56,49 +56,49 @@
|
|
| 56 |
],
|
| 57 |
"sources": [
|
| 58 |
{
|
| 59 |
-
"repo": "
|
| 60 |
"repo_type": "dataset",
|
| 61 |
"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 62 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/air_raid/eval/post_train/step_7000.json"
|
| 63 |
},
|
| 64 |
{
|
| 65 |
-
"repo": "
|
| 66 |
"repo_type": "dataset",
|
| 67 |
"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 68 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/asterix/eval/post_train/step_7000.json"
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"repo": "
|
| 72 |
"repo_type": "dataset",
|
| 73 |
"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 74 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/atlantis/eval/post_train/step_7000.json"
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"repo": "
|
| 78 |
"repo_type": "dataset",
|
| 79 |
"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 80 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/demon_attack/eval/post_train/step_7000.json"
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"repo": "
|
| 84 |
"repo_type": "dataset",
|
| 85 |
"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 86 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/air_raid/eval/post_train/step_5000.json"
|
| 87 |
},
|
| 88 |
{
|
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"repo": "
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"repo_type": "dataset",
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
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"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/asterix/eval/post_train/step_5000.json"
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},
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{
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-
"repo": "
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"repo_type": "dataset",
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
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"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/atlantis/eval/post_train/step_5000.json"
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{
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"repo": "
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"repo_type": "dataset",
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
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"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/demon_attack/eval/post_train/step_5000.json"
|
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{
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"condition": "zero-latency-trained",
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"checkpoint": {
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"repo": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
|
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"revision": "671e2a7451fda7f7dba5606c6d11183ebd804b6d",
|
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"path": "zero-latency/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_0_200ep/checkpoints/steps_7000_model.safetensors"
|
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{
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"condition": "mixed-latency-trained",
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"checkpoint": {
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"repo": "MLL-Lab/LAGEN-models",
|
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"repo_type": "model",
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"revision": "671e2a7451fda7f7dba5606c6d11183ebd804b6d",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_latency_mixed_024_exp1/checkpoints/steps_5000_model.safetensors"
|
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|
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{
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|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/air_raid/eval/post_train/step_7000.json"
|
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|
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{
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/asterix/eval/post_train/step_7000.json"
|
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|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/atlantis/eval/post_train/step_7000.json"
|
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},
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_zero_latency_latency024_cross_games/demon_attack/eval/post_train/step_7000.json"
|
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},
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/air_raid/eval/post_train/step_5000.json"
|
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},
|
| 88 |
{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 90 |
"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 92 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/asterix/eval/post_train/step_5000.json"
|
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},
|
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{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
| 98 |
"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/atlantis/eval/post_train/step_5000.json"
|
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|
| 100 |
{
|
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"repo_type": "dataset",
|
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"revision": "d6f0ad0995f6e4b095f315920e8de18e04297048",
|
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"path": "evaluations/task-transfer/demon-attack/demon_attack_mixed_024_horizonfix_full_20261001_002008/demon_attack/eval/post_train/step_5000.json"
|
experiments/visual-history/deadly-corridor/README.md
CHANGED
|
@@ -2,11 +2,11 @@
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex](https://huggingface.co/
|
| 6 |
-
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_plain_multi](https://huggingface.co/
|
| 7 |
-
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_single_baseline](https://huggingface.co/
|
| 8 |
-
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch](https://huggingface.co/
|
| 9 |
-
| [wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce](https://huggingface.co/
|
| 10 |
|
| 11 |
## Evaluation settings
|
| 12 |
|
|
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex) | image_mode=multiframe, num_obs_frames=8, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 6 |
+
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_plain_multi](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_plain_multi) | image_mode=multiframe, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 7 |
+
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_single_baseline](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_single_baseline) | image_mode=single, num_obs_frames=1, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 8 |
+
| [deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch) | image_mode=stitch, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 9 |
+
| [wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/deadly-corridor/vla/starvla-wanoft-h8/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce) | image_mode=single, num_obs_frames=1, target latency unit=observation_steps | steps_1000_pytorch_model.pt | complete_bundle |
|
| 10 |
|
| 11 |
## Evaluation settings
|
| 12 |
|
experiments/visual-history/deadly-corridor/manifest.json
CHANGED
|
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|
|
| 11 |
},
|
| 12 |
"checkpoint": [
|
| 13 |
{
|
| 14 |
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"repo": "
|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 16 |
"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/checkpoints/steps_4000_model.safetensors"
|
| 17 |
}
|
| 18 |
],
|
| 19 |
"metadata": {
|
| 20 |
-
"repo": "
|
| 21 |
"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 22 |
"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex"
|
| 23 |
},
|
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"evaluation": [
|
| 25 |
{
|
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-
"repo": "
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/eval/post_train/step_4000.json"
|
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},
|
| 30 |
{
|
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-
"repo": "
|
| 32 |
"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
| 33 |
"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/hydra/.hydra/hydra.yaml"
|
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|
| 35 |
{
|
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"repo": "
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/hydra/.hydra/overrides.yaml"
|
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},
|
| 40 |
{
|
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-
"repo": "
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/hydra/train_starvla_hydra.log"
|
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},
|
| 45 |
{
|
| 46 |
-
"repo": "
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_kv_memory_flex/summary.jsonl"
|
| 49 |
}
|
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@@ -76,7 +76,7 @@
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],
|
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|
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{
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"repo": "
|
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|
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"path": "latency-aware/deadly-corridor/deadly_corridor_fixed_latency_6_1000ep_7k2steps",
|
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|
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|
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|
| 92 |
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|
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|
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"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_plain_multi/checkpoints/steps_4000_model.safetensors"
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|
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|
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"metadata": {
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"evaluation": [
|
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{
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"repo": "
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_plain_multi/eval/post_train/step_4000.json"
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|
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{
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"repo": "
|
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{
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"path": "latency-aware/deadly-corridor/deadly_corridor_fixed_latency_6_1000ep_7k2steps",
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"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_single_baseline/checkpoints/steps_4000_model.safetensors"
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|
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{
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|
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|
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{
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"path": "evaluations/deadly-corridor/deadly_corridor_fix_latency_6_1000ep_7k2steps_single_baseline/hydra/train_starvla_hydra.log"
|
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|
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{
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|
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|
@@ -246,7 +246,7 @@
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| 246 |
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|
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|
| 248 |
{
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|
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|
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"path": "latency-aware/deadly-corridor/deadly_corridor_fixed_latency_6_1000ep_7k2steps",
|
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@@ -261,39 +261,39 @@
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| 261 |
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|
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|
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{
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|
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|
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"path": "latency-aware/deadly-corridor/vla/starvla-qwenoft-h1/deadly_corridor_fix_latency_6_1000ep_7k2steps_stitch/checkpoints/steps_4000_model.safetensors"
|
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|
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"checkpoint": [
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{
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/deadly-corridor/vla/starvla-wanoft-h8/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce/checkpoints/steps_1000_pytorch_model.pt"
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],
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"metadata": {
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/deadly-corridor/vla/starvla-wanoft-h8/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce"
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"evaluation": [
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{
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+
"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/deadly-corridor/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce/eval/fixed_6/eval_latency_6/episode_metrics.jsonl"
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{
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "evaluations/deadly-corridor/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce/eval/fixed_6/queue_eval_latency_6.json"
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},
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{
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+
"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/deadly-corridor/wan_oft_deadly_corridor_fix_latency_6_context5_standard_sft_1000_effbs128_224_currentbce/eval/fixed_6/queue_eval_results.jsonl"
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"training_data": [
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{
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"repo": "MLL-Lab/LAGEN-datasets",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "latency-aware/deadly-corridor/deadly_corridor_fixed_latency_6_1000ep_7k2steps",
|
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"config_name": "deadly_corridor_fixed_latency_6_1000ep_7k2steps"
|
|
|
|
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"prefix": "latency-aware/deadly-corridor/deadly_corridor_fixed_latency_6_1000ep_7k2steps",
|
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"config_name": "deadly_corridor_fixed_latency_6_1000ep_7k2steps",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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+
"repo": "MLL-Lab/LAGEN-datasets"
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},
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{
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"experiment": "visual-history",
|
|
|
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"prefix": "zero-latency/deadly-corridor/deadly_corridor_fixed_latency_0_1000ep_7k2steps",
|
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"config_name": "deadly_corridor_fixed_latency_0_1000ep_7k2steps",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"repo": "MLL-Lab/LAGEN-datasets"
|
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}
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],
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"paper_rows": [
|
experiments/visual-history/demon-attack/README.md
CHANGED
|
@@ -2,12 +2,12 @@
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| [demon_attack_fix_latency_6_200ep_7k2steps_kv_memory_flex](https://huggingface.co/
|
| 6 |
-
| [demon_attack_fix_latency_6_200ep_7k2steps_plain_multi](https://huggingface.co/
|
| 7 |
-
| [demon_attack_fix_latency_6_200ep_7k2steps_single_baseline](https://huggingface.co/
|
| 8 |
-
| [demon_attack_fix_latency_6_200ep_7k2steps_stitch](https://huggingface.co/
|
| 9 |
-
| [openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3](https://huggingface.co/
|
| 10 |
-
| [wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce](https://huggingface.co/
|
| 11 |
|
| 12 |
## Evaluation settings
|
| 13 |
|
|
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| [demon_attack_fix_latency_6_200ep_7k2steps_kv_memory_flex](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_kv_memory_flex) | image_mode=multiframe, num_obs_frames=8, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 6 |
+
| [demon_attack_fix_latency_6_200ep_7k2steps_plain_multi](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_plain_multi) | image_mode=multiframe, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 7 |
+
| [demon_attack_fix_latency_6_200ep_7k2steps_single_baseline](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline) | image_mode=single, num_obs_frames=1, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 8 |
+
| [demon_attack_fix_latency_6_200ep_7k2steps_stitch](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_stitch) | image_mode=stitch, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 9 |
+
| [openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3) | image_mode=single, num_obs_frames=1, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 10 |
+
| [wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/demon-attack/vla/starvla-wanoft-h8/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce) | image_mode=single, num_obs_frames=1, target latency unit=observation_steps | steps_5000_pytorch_model.pt | complete_bundle |
|
| 11 |
|
| 12 |
## Evaluation settings
|
| 13 |
|
experiments/visual-history/demon-attack/manifest.json
CHANGED
|
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|
|
| 11 |
},
|
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"checkpoint": [
|
| 13 |
{
|
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|
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_kv_memory_flex/checkpoints/steps_4000_model.safetensors"
|
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}
|
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],
|
| 19 |
"metadata": {
|
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"repo": "
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
| 22 |
"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_kv_memory_flex"
|
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|
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{
|
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|
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|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_plain_multi/checkpoints/steps_4000_model.safetensors"
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/checkpoints/steps_4000_model.safetensors"
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_stitch/checkpoints/steps_4000_model.safetensors"
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/eval/post_train/step_4000.cap3600.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/eval/post_train/step_4000.json"
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/hydra/.hydra/hydra.yaml"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/hydra/.hydra/overrides.yaml"
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/hydra/train_starvla_hydra.log"
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_single_baseline/summary.jsonl"
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"training_data": [
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "latency-aware/demon-attack/demon_attack_fixed_latency_6_200ep_7k2steps",
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"config_name": "demon_attack_fixed_latency_6_200ep_7k2steps"
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"checkpoint": [
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_stitch/checkpoints/steps_4000_model.safetensors"
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],
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"metadata": {
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/demon_attack_fix_latency_6_200ep_7k2steps_stitch"
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},
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"evaluation": [
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{
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/eval/post_train/step_4000.cap3600.json"
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/eval/post_train/step_4000.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/eval/post_train/step_4000.pre_framealign.json"
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/hydra/.hydra/hydra.yaml"
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{
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/hydra/.hydra/overrides.yaml"
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{
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/hydra/train_starvla_hydra.log"
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/demon_attack_fix_latency_6_200ep_7k2steps_stitch/summary.jsonl"
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}
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"path": "latency-aware/demon-attack/demon_attack_fixed_latency_6_200ep_7k2steps",
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"config_name": "demon_attack_fixed_latency_6_200ep_7k2steps"
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"checkpoint": [
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{
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
|
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/checkpoints/steps_4000_model.safetensors"
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|
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],
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"metadata": {
|
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"repo": "MLL-Lab/LAGEN-models",
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/demon-attack/vla/starvla-qwenoft-h1/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3"
|
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"evaluation": [
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/mid_train/step_1000.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/mid_train/step_2000.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/mid_train/step_3000.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/mid_train/step_4000.json"
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/post_train/step_4000.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/post_train/step_4000.max3600.json"
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/post_train/step_4000.part0of2.json"
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"path": "evaluations/demon-attack/openvla_bridge_demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2_exp3/eval/post_train/step_4000.part1of2.json"
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"path": "latency-aware/demon-attack/demon_attack_fixed_latency_6_200ep_7k2steps_ghost15_2"
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/demon-attack/vla/starvla-wanoft-h8/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/checkpoints/steps_5000_pytorch_model.pt"
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"revision": "46266ba5a184ac622f7fa3386ac689d8d755d64c",
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"path": "latency-aware/demon-attack/vla/starvla-wanoft-h8/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/eval/fixed_6/eval_latency_6/episode_metrics.jsonl"
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/eval/fixed_6/queue_eval_latency_6.json"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/eval/fixed_6/queue_eval_results.jsonl"
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"repo": "MLL-Lab/LAGEN-datasets",
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/hydra/.hydra/hydra.yaml"
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{
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/hydra/.hydra/overrides.yaml"
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/hydra/train_starvla_hydra.log"
|
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{
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
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"path": "evaluations/demon-attack/wan_oft_demon_attack_fix_latency_6_context5_standard_sft_5000_effbs128_224_currentce/summary.jsonl"
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|
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"path": "latency-aware/demon-attack/demon_attack_fixed_latency_6_200ep_7k2steps",
|
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|
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"config_name": "demon_attack_fixed_latency_6_200ep_7k2steps",
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"repo": "MLL-Lab/LAGEN-datasets"
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{
|
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"experiment": "visual-history",
|
|
|
|
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"prefix": "zero-latency/demon-attack/demon_attack_fixed_latency_0_200ep_7k2steps",
|
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"config_name": "demon_attack_fixed_latency_0_200ep_7k2steps",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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+
"repo": "MLL-Lab/LAGEN-datasets"
|
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},
|
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{
|
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"experiment": "visual-history",
|
|
|
|
| 613 |
"prefix": "latency-aware/demon-attack/demon_attack_fixed_latency_6_200ep_7k2steps_ghost15",
|
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"config_name": "demon_attack_fixed_latency_6_200ep_7k2steps_ghost15",
|
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"revision": "a342eb8d051c0982b6af4f80407faad1a2a501db",
|
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"repo": "MLL-Lab/LAGEN-datasets"
|
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}
|
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],
|
| 619 |
"paper_rows": [
|
experiments/visual-history/flappy/README.md
CHANGED
|
@@ -2,12 +2,12 @@
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
-
| [flappy_fix_latency_3_200ep_7k2steps_kv_memory_flex](https://huggingface.co/
|
| 6 |
-
| [flappy_fix_latency_3_200ep_7k2steps_plain_multi](https://huggingface.co/
|
| 7 |
-
| [flappy_fix_latency_3_200ep_7k2steps_single_baseline](https://huggingface.co/
|
| 8 |
-
| [flappy_fix_latency_3_200ep_7k2steps_stitch](https://huggingface.co/
|
| 9 |
-
| [openvla_bridge_flappy_fixed_latency_3_200ep_7k2steps_ghost7_exp3](https://huggingface.co/
|
| 10 |
-
| [wan_oft_flappy_fix_latency_3_context5_standard_sft_2000_effbs128_224_currentce](https://huggingface.co/
|
| 11 |
|
| 12 |
## Evaluation settings
|
| 13 |
|
|
|
|
| 2 |
|
| 3 |
| Training run | Input and latency convention | Retained checkpoint | State |
|
| 4 |
|---|---|---|---|
|
| 5 |
+
| [flappy_fix_latency_3_200ep_7k2steps_kv_memory_flex](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep_7k2steps_kv_memory_flex) | image_mode=multiframe, num_obs_frames=8, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 6 |
+
| [flappy_fix_latency_3_200ep_7k2steps_plain_multi](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep_7k2steps_plain_multi) | image_mode=multiframe, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 7 |
+
| [flappy_fix_latency_3_200ep_7k2steps_single_baseline](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep_7k2steps_single_baseline) | image_mode=single, num_obs_frames=1, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 8 |
+
| [flappy_fix_latency_3_200ep_7k2steps_stitch](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_3_200ep_7k2steps_stitch) | image_mode=stitch, num_obs_frames=4, target latency unit=raw_frames | steps_4000_model.safetensors | complete_bundle |
|
| 9 |
+
| [openvla_bridge_flappy_fixed_latency_3_200ep_7k2steps_ghost7_exp3](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-qwenoft-h1/openvla_bridge_flappy_fixed_latency_3_200ep_7k2steps_ghost7_exp3) | image_mode=single, num_obs_frames=1, target latency unit=observation_steps | steps_4000_model.safetensors | complete_bundle |
|
| 10 |
+
| [wan_oft_flappy_fix_latency_3_context5_standard_sft_2000_effbs128_224_currentce](https://huggingface.co/MLL-Lab/LAGEN-models/tree/46266ba5a184ac622f7fa3386ac689d8d755d64c/latency-aware/flappy/vla/starvla-wanoft-h8/wan_oft_flappy_fix_latency_3_context5_standard_sft_2000_effbs128_224_currentce) | image_mode=single, num_obs_frames=1, target latency unit=observation_steps | steps_2000_pytorch_model.pt | complete_bundle |
|
| 11 |
|
| 12 |
## Evaluation settings
|
| 13 |
|
experiments/visual-history/flappy/manifest.json
CHANGED
|
The diff for this file is too large to render.
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|
|
|
experiments/vla-finetuning-scope/flappy/manifest.json
CHANGED
|
@@ -10,13 +10,13 @@
|
|
| 10 |
"path": "flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
| 11 |
},
|
| 12 |
"metadata": {
|
| 13 |
-
"repo": "
|
| 14 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 15 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
| 16 |
},
|
| 17 |
"checkpoints": [
|
| 18 |
{
|
| 19 |
-
"repo": "
|
| 20 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 21 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps/checkpoints/steps_4000_model.safetensors"
|
| 22 |
}
|
|
@@ -41,7 +41,7 @@
|
|
| 41 |
"freeze_llm_layers": []
|
| 42 |
},
|
| 43 |
"dataset": {
|
| 44 |
-
"repo": "
|
| 45 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 46 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 47 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
@@ -58,7 +58,7 @@
|
|
| 58 |
}
|
| 59 |
],
|
| 60 |
"evaluation": {
|
| 61 |
-
"repo": "
|
| 62 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 63 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
| 64 |
}
|
|
@@ -71,13 +71,13 @@
|
|
| 71 |
"path": "flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 72 |
},
|
| 73 |
"metadata": {
|
| 74 |
-
"repo": "
|
| 75 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 76 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 77 |
},
|
| 78 |
"checkpoints": [
|
| 79 |
{
|
| 80 |
-
"repo": "
|
| 81 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 82 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps/checkpoints/steps_3000_model.safetensors"
|
| 83 |
}
|
|
@@ -102,7 +102,7 @@
|
|
| 102 |
"freeze_llm_layers": []
|
| 103 |
},
|
| 104 |
"dataset": {
|
| 105 |
-
"repo": "
|
| 106 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 107 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 108 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
@@ -119,7 +119,7 @@
|
|
| 119 |
}
|
| 120 |
],
|
| 121 |
"evaluation": {
|
| 122 |
-
"repo": "
|
| 123 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 124 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 125 |
}
|
|
@@ -132,13 +132,13 @@
|
|
| 132 |
"path": "flappy_fix_latency_2_200ep_last_8_layers_corrected_v2"
|
| 133 |
},
|
| 134 |
"metadata": {
|
| 135 |
-
"repo": "
|
| 136 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 137 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected_v2"
|
| 138 |
},
|
| 139 |
"checkpoints": [
|
| 140 |
{
|
| 141 |
-
"repo": "
|
| 142 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 143 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected_v2/checkpoints/steps_5000_model.safetensors"
|
| 144 |
}
|
|
@@ -166,7 +166,7 @@
|
|
| 166 |
]
|
| 167 |
},
|
| 168 |
"dataset": {
|
| 169 |
-
"repo": "
|
| 170 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 171 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 172 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
@@ -185,7 +185,7 @@
|
|
| 185 |
}
|
| 186 |
],
|
| 187 |
"evaluation": {
|
| 188 |
-
"repo": "
|
| 189 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 190 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_last_8_layers_corrected_v2"
|
| 191 |
}
|
|
@@ -198,13 +198,13 @@
|
|
| 198 |
"path": "flappy_fix_latency_2_200ep_last_8_layers_corrected"
|
| 199 |
},
|
| 200 |
"metadata": {
|
| 201 |
-
"repo": "
|
| 202 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 203 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected"
|
| 204 |
},
|
| 205 |
"checkpoints": [
|
| 206 |
{
|
| 207 |
-
"repo": "
|
| 208 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 209 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected/checkpoints/steps_5000_model.safetensors"
|
| 210 |
}
|
|
@@ -227,7 +227,7 @@
|
|
| 227 |
"freeze_llm_bottom_ratio": 0.7778
|
| 228 |
},
|
| 229 |
"dataset": {
|
| 230 |
-
"repo": "
|
| 231 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 232 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 233 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
@@ -246,7 +246,7 @@
|
|
| 246 |
}
|
| 247 |
],
|
| 248 |
"evaluation": {
|
| 249 |
-
"repo": "
|
| 250 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 251 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_last_8_layers_corrected"
|
| 252 |
}
|
|
@@ -259,13 +259,13 @@
|
|
| 259 |
"path": "flappy_fix_latency_2_200ep_full_tuning_corrected"
|
| 260 |
},
|
| 261 |
"metadata": {
|
| 262 |
-
"repo": "
|
| 263 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 264 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected"
|
| 265 |
},
|
| 266 |
"checkpoints": [
|
| 267 |
{
|
| 268 |
-
"repo": "
|
| 269 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 270 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected/checkpoints/steps_5000_model.safetensors"
|
| 271 |
}
|
|
@@ -288,7 +288,7 @@
|
|
| 288 |
"freeze_llm_bottom_ratio": 0.0
|
| 289 |
},
|
| 290 |
"dataset": {
|
| 291 |
-
"repo": "
|
| 292 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 293 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 294 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
@@ -307,7 +307,7 @@
|
|
| 307 |
}
|
| 308 |
],
|
| 309 |
"evaluation": {
|
| 310 |
-
"repo": "
|
| 311 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 312 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning_corrected"
|
| 313 |
}
|
|
@@ -320,13 +320,13 @@
|
|
| 320 |
"path": "flappy_fix_latency_2_200ep_last_8_layers"
|
| 321 |
},
|
| 322 |
"metadata": {
|
| 323 |
-
"repo": "
|
| 324 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 325 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers"
|
| 326 |
},
|
| 327 |
"checkpoints": [
|
| 328 |
{
|
| 329 |
-
"repo": "
|
| 330 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 331 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers/checkpoints/steps_5000_model.safetensors"
|
| 332 |
}
|
|
@@ -349,7 +349,7 @@
|
|
| 349 |
"freeze_llm_bottom_ratio": 0.7778
|
| 350 |
},
|
| 351 |
"dataset": {
|
| 352 |
-
"repo": "
|
| 353 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 354 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 355 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
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@@ -368,7 +368,7 @@
|
|
| 368 |
}
|
| 369 |
],
|
| 370 |
"evaluation": {
|
| 371 |
-
"repo": "
|
| 372 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 373 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_last_8_layers"
|
| 374 |
}
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@@ -381,13 +381,13 @@
|
|
| 381 |
"path": "flappy_fix_latency_2_200ep_full_tuning"
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},
|
| 383 |
"metadata": {
|
| 384 |
-
"repo": "
|
| 385 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 386 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning"
|
| 387 |
},
|
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"checkpoints": [
|
| 389 |
{
|
| 390 |
-
"repo": "
|
| 391 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 392 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning/checkpoints/steps_5000_model.safetensors"
|
| 393 |
}
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@@ -410,7 +410,7 @@
|
|
| 410 |
"freeze_llm_bottom_ratio": 0.0
|
| 411 |
},
|
| 412 |
"dataset": {
|
| 413 |
-
"repo": "
|
| 414 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 415 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
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"source_repo": "latency-sensitive-bench/flappy_200ep",
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@@ -429,14 +429,14 @@
|
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}
|
| 430 |
],
|
| 431 |
"evaluation": {
|
| 432 |
-
"repo": "
|
| 433 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
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"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning"
|
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}
|
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}
|
| 437 |
],
|
| 438 |
"shared_training_data": {
|
| 439 |
-
"repo": "
|
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"revision": "58157c572dbd2e0e5036ce197c42db975e56ae4e",
|
| 441 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep"
|
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}
|
|
|
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| 10 |
"path": "flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
| 11 |
},
|
| 12 |
"metadata": {
|
| 13 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 14 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 15 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
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},
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"checkpoints": [
|
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{
|
| 19 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 20 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 21 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps/checkpoints/steps_4000_model.safetensors"
|
| 22 |
}
|
|
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"freeze_llm_layers": []
|
| 42 |
},
|
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"dataset": {
|
| 44 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 45 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 46 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 47 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
|
|
| 58 |
}
|
| 59 |
],
|
| 60 |
"evaluation": {
|
| 61 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 62 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 63 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_4k_steps"
|
| 64 |
}
|
|
|
|
| 71 |
"path": "flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 72 |
},
|
| 73 |
"metadata": {
|
| 74 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 75 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 76 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 77 |
},
|
| 78 |
"checkpoints": [
|
| 79 |
{
|
| 80 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 81 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 82 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps/checkpoints/steps_3000_model.safetensors"
|
| 83 |
}
|
|
|
|
| 102 |
"freeze_llm_layers": []
|
| 103 |
},
|
| 104 |
"dataset": {
|
| 105 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 106 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 107 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
| 108 |
"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
|
|
| 119 |
}
|
| 120 |
],
|
| 121 |
"evaluation": {
|
| 122 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 123 |
"revision": "b4232ba7822e89c226a8ab926bc806a8ecebdc49",
|
| 124 |
"path": "experiments/vla-finetuning-scope/provenance/vla-finetuning-scope-data/source_evaluations/flappy_fix_latency_2_200ep_full_tuning_corrected_bs32_3k_steps"
|
| 125 |
}
|
|
|
|
| 132 |
"path": "flappy_fix_latency_2_200ep_last_8_layers_corrected_v2"
|
| 133 |
},
|
| 134 |
"metadata": {
|
| 135 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 136 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 137 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected_v2"
|
| 138 |
},
|
| 139 |
"checkpoints": [
|
| 140 |
{
|
| 141 |
+
"repo": "MLL-Lab/LAGEN-models",
|
| 142 |
"revision": "f99bd515da2a2a364198848b7f3c2dcaaf9566dd",
|
| 143 |
"path": "latency-aware/flappy/vla/starvla-qwenoft-h1/flappy_fix_latency_2_200ep_last_8_layers_corrected_v2/checkpoints/steps_5000_model.safetensors"
|
| 144 |
}
|
|
|
|
| 166 |
]
|
| 167 |
},
|
| 168 |
"dataset": {
|
| 169 |
+
"repo": "MLL-Lab/LAGEN-datasets",
|
| 170 |
"revision": "e0f4007f504978f93c32557ea4e9b97fdf62fcf5",
|
| 171 |
"path": "latency-aware/flappy/flappy_200ep/flappy_fix_latency_2_200ep",
|
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"source_repo": "latency-sensitive-bench/flappy_200ep",
|
|
|
|
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}
|
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],
|
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