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"title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
"generated_at_utc": "2026-06-07T17:29:16+00:00",
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},
{
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{
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{
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{
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{
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"scope": "selected 128-episode 96/16/16 dataset augmented with camera_pose proxy cosmos_action_target records",
"status": "ready_for_forward_dynamics_trainer",
"source": "results/omni_finetune/xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608/training_contract_audit.json",
"split": "train/val/test by selected episode/session",
"counts": {
"dataset_samples": 3808,
"rows_with_action_target": 3808,
"valid_action_targets": 3808,
"split_counts": {
"train": 2848,
"val": 512,
"test": 448
},
"episode_split_counts": {
"test": 14,
"train": 89,
"val": 16
}
},
"primary_metrics": {
"domain_name": "camera_pose",
"raw_action_dim": 9,
"mode": "forward_dynamics",
"valid_action_targets": 3808,
"weights_updated": false
},
"weights": "none; action-target contract audit only, no adapter checkpoint",
"interpretation": "The selected dataset now has valid Cosmos3 camera_pose forward_dynamics targets for an egocentric camera-motion proxy. These remove the target-schema blocker for action-conditioned world-model training, but they supervise noisy vision tokens rather than preds_action. The remaining work is a pipeline-loaded packer check and one-sample forward-dynamics overfit; action-token prediction needs a separate policy or inverse-dynamics target export."
},
{
"id": "xperience10m_cosmos3_super_action_packer_schema_smoke_20260608",
"title": "Cosmos3-Super Action Batch Packer Smoke",
"scope_label": "batch packer",
"scope": "one selected train row from the camera_pose forward_dynamics augmented JSONL",
"status": "pass",
"source": "results/omni_finetune/xperience10m_cosmos3_super_action_packer_schema_smoke_20260608/packer_summary.json",
"split": "train",
"counts": {
"samples": 1,
"raw_action_rows": 8,
"raw_action_dim": 9
},
"primary_metrics": {
"mode": "forward_dynamics",
"loss_surface": "vision_velocity_conditioned_on_camera_pose",
"pipeline_loaded": false,
"weights_updated": false
},
"weights": "none; schema-only packer smoke, no adapter checkpoint",
"interpretation": "The selected row maps to a camera_pose forward_dynamics contract. In the installed Cosmos3 pipeline this uses raw actions as conditioning and supervises noisy vision tokens; it does not supervise preds_action."
}
],
"multi_episode_128_runs": [
{
"id": "xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607",
"title": "Cosmos3-Super Reasoner",
"status": "verified",
"backbone": "cosmos3_super_reasoner",
"dataset_contract": "xperience10m_episode_json_qa_v1",
"training_objective": "zero_shot_structured_episode_understanding_json_qa_via_vllm_reasoner",
"source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607/verified_result_summary.json",
"dataset_run_id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605",
"train_run_id": "xperience10m_cosmos3_super_reasoner_base_vllm_8gpu_20260607",
"eval_run_id": "xperience10m_cosmos3_super_reasoner_128ep_test_full_20260607",
"counts": {
"dataset_samples": 3808,
"dataset_episodes": 119,
"split_counts": {
"train": 2848,
"val": 512,
"test": 448
},
"train_samples": 2848,
"val_samples": 512,
"eval_samples": 448,
"held_out_episode_count": 14,
"num_processes": 8
},
"primary_metrics": {
"json_validity_rate": 0.5111607142857143,
"action_macro_f1": 0.0008284021201089245,
"subtask_accuracy": 0.0,
"transition_accuracy": 0.36830357142857145,
"next_action_accuracy": 0.013392857142857142,
"contact_accuracy": 0.32142857142857145,
"object_micro_f1": 0.13704276146316333,
"held_out_episode_count": 14
},
"history": [],
"is_current": true,
"weights_repository": "none for this run: staged base nv-community/Cosmos3-Super weights were evaluated through vLLM; create a separate repo only after new adapter or fine-tuned weights exist"
}
],
"comparison_note": "Cosmos3-Super is now represented by a verified 448-window held-out Reasoner evaluation on the same JSON task as Qwen3. It uses staged base weights through vLLM, so it is a model-branch diagnostic, not a weight release. A camera-pose proxy forward-dynamics target export now passes the contract audit and schema-only packer smoke; true Cosmos3-Super fine-tuning is still not launched until the pipeline-loaded packer check and one-sample overfit exist."
}
],
"model_group_reading_notes": [
"Use model_groups when comparing one-episode and 128-episode artifacts within the same model family.",
"Task-head baselines have both a one-episode public-sample run and a 128-episode same-split metadata/text run.",
"Qwen3-Omni has a one-episode sensor-adapter smoke test and separate 128-episode LoRA diagnostic packages; only the final 128-episode adapter belongs in the Qwen LoRA model repo.",
"Cosmos3-Nano has a 128-episode future-window compatibility package.",
"Cosmos3-Super has a 128-episode base-weight Reasoner evaluation on the JSON task plus a camera-pose forward-dynamics contract audit; create a separate Cosmos model repo only after real Cosmos adapter/fine-tuned weights exist."
],
"pending": [
"Use the final Qwen3 full-eval package as the current Qwen result; older Qwen package rows remain historical diagnostics for comparison.",
"Promote Cosmos3 from Nano compatibility, Super base-weight evaluation, and the camera-pose forward-dynamics contract to true fine-tuning only after the pipeline-loaded packer check and one-sample overfit produce new weights."
]
}
|