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{
  "title": "Qwen3-Omni Full-Parameter Feasibility Gates",
  "generated_at_utc": "2026-06-18T12:53:13+00:00",
  "status": "pass",
  "decision": "full_parameter_feasible_for_guarded_short_runs_not_promoted",
  "interpretation": "The full-parameter gates prove that Qwen3-Omni full-parameter FSDP can load, prepare, run backward/optimizer steps, and complete guarded pilots up to 256 optimizer steps on an 8-GPU remote worker. They do not prove a production full-parameter fine-tune, and they intentionally save no full checkpoints or public weights.",
  "aggregate": {
    "run_count": 7,
    "passed_run_count": 6,
    "preempted_run_count": 1,
    "review_or_missing_run_count": 0,
    "completed_full_parameter_train_steps": 489,
    "longest_passed_run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
    "longest_passed_steps": 256,
    "num_processes": [
      8
    ],
    "checkpoint_saved": false
  },
  "runs": [
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      "id": "fullparam_smoke_1step",
      "title": "Full-Parameter 1-Step Feasibility Smoke",
      "status": "passed",
      "scope": "1 optimizer step over 8 train samples",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609/fullparam_feasibility_summary.json",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_smoke_preemptible_8gpu_20260609",
      "purpose": "Full-parameter Qwen3-Omni feasibility gate: load, FSDP prepare, backward/optimizer step, and no checkpoint save.",
      "tuning_mode": "full",
      "training_objective": null,
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      "num_train_samples": 8,
      "configured_max_train_steps": 1,
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      "save_mode": "none",
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      "preempt_event": null,
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    },
    {
      "id": "fullparam_shorttrain8",
      "title": "Full-Parameter 8-Step Short Train",
      "status": "passed",
      "scope": "8 optimizer steps over 64 train samples",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_shorttrain8_preemptible_8gpu_20260609/fullparam_shorttrain8_summary.json",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_shorttrain8_preemptible_8gpu_20260609",
      "purpose": "guarded full-parameter Qwen3-Omni short train using all 8 remote GPUs while Qwen v5 export was CPU-bound",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
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      "save_mode": "none",
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    },
    {
      "id": "fullparam_pilot32",
      "title": "Full-Parameter 32-Step Pilot",
      "status": "passed",
      "scope": "32 optimizer steps over 256 train samples",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot32_preemptible_8gpu_20260609/fullparam_pilot32_summary.json",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot32_preemptible_8gpu_20260609",
      "purpose": "guarded full-parameter Qwen3-Omni 32-step pilot using all 8 remote GPUs while Qwen v5 export was CPU-bound",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
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    },
    {
      "id": "fullparam_pilot64",
      "title": "Full-Parameter 64-Step Pilot",
      "status": "passed",
      "scope": "64 optimizer steps over 512 train samples",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609/fullparam_pilot64_summary.json",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot64_preemptible_8gpu_20260609",
      "purpose": "guarded full-parameter Qwen3-Omni 64-step pilot using all 8 remote GPUs while Qwen v5 long multiscale export was CPU-bound",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
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      "configured_max_train_steps": 64,
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      "preempt_event": null,
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    },
    {
      "id": "fullparam_pilot128_preempted",
      "title": "Full-Parameter 128-Step Opportunistic Pilot",
      "status": "preempted_for_qwen_v5_handoff",
      "scope": "planned 128 optimizer steps over 1024 train samples; preempted for Qwen v5 handoff",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_preemptible_8gpu_20260609/fullparam_pilot128_summary.json",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot128_preemptible_8gpu_20260609",
      "purpose": "opportunistic guarded full-parameter Qwen3-Omni 128-step pilot launched only while Qwen v5 export was CPU-bound; preempted for main Qwen v5 handoff",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
      "num_processes": 8,
      "num_train_samples": 1024,
      "configured_max_train_steps": 128,
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      "save_mode": "none",
      "checkpoint_saved": false,
      "checkpoint_policy": "no full-parameter checkpoint or public weights; save_mode=none",
      "preempt_event": {
        "event": "fullparam_pilot128_preempt_for_qwen_v5_handoff",
        "guard_pid": 3757690,
        "kind": "fullparam_pilot128_handoff_guard",
        "time": 1780954910,
        "watched_pid": 3753782
      },
      "parent_resume_event": {
        "event": "fullparam_pilot128_resumed_parent_after_preempt",
        "guard_pid": 3757690,
        "kind": "fullparam_pilot128_handoff_guard",
        "time": 1780954925,
        "watched_pid": 3753782
      }
    },
    {
      "id": "fullparam_pilot128_after_qwen_v5",
      "title": "Full-Parameter 128-Step Post-Qwen-v5 Pilot",
      "status": "passed",
      "scope": "128 optimizer steps over 1024 train samples after verified Qwen v5 handoff",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/training_metadata.json",
      "progress_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609/progress.jsonl",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot128_after_qwen_v5_preemptible_8gpu_20260609",
      "purpose": "post_verified_qwen_v5_full_parameter_feasibility_pilot",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
      "num_processes": 8,
      "num_train_samples": 1024,
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      "observed_train_steps": 128,
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      "final_step_loss": 0.0136940386146307,
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      "save_mode": "none",
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      "checkpoint_policy": "no full-parameter checkpoint or public weights; save_mode=none",
      "preempt_event": null,
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      "progress_events": {
        "max_steps_reached": true,
        "save_skipped": true,
        "complete": true
      }
    },
    {
      "id": "fullparam_pilot256_after_qwen_v6",
      "title": "Full-Parameter 256-Step Post-Qwen-v6 Pilot",
      "status": "passed",
      "scope": "256 optimizer steps over 2048 train samples after verified Qwen v6 handoff",
      "summary_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/training_metadata.json",
      "progress_path": "results/omni_finetune/xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611/progress.jsonl",
      "run_id": "xperience10m_qwen3_omni_128ep_fullparam_pilot256_after_qwen_v6_preemptible_8gpu_20260611",
      "purpose": "post_verified_qwen_v6_full_parameter_feasibility_pilot",
      "tuning_mode": "full",
      "training_objective": "structured_episode_understanding_json_qa",
      "num_processes": 8,
      "num_train_samples": 2048,
      "configured_max_train_steps": 256,
      "observed_train_steps": 256,
      "first_step_loss": 1.2249484062194824,
      "final_step_loss": 0.009560374543070793,
      "epoch_train_loss": 0.1157912792496063,
      "min_step_loss": 0.002165592508390546,
      "max_step_loss": 1.2249484062194824,
      "model_load_seconds": null,
      "accelerator_prepare_seconds": null,
      "train_loop_seconds": null,
      "save_mode": "none",
      "checkpoint_saved": false,
      "checkpoint_policy": "no full-parameter checkpoint or public weights; save_mode=none",
      "preempt_event": null,
      "parent_resume_event": null,
      "progress_events": {
        "max_steps_reached": true,
        "save_skipped": true,
        "complete": true
      }
    }
  ],
  "publication_policy": {
    "public_summary_allowed": true,
    "publish_full_parameter_weights": false,
    "publish_full_checkpoints": false,
    "reason": "All completed full-parameter gate runs used save_mode=none; the preempted pilot saved nothing. These are feasibility evidence only."
  },
  "next_steps": [
    "Keep the verified Qwen3-Omni LoRA adapter as the published production result for the 128-episode suite.",
    "For a production full-parameter run, add a sharded checkpoint/resume plan before any long training launch.",
    "Run a separate checkpointed full-parameter pilot only when GPUs are not needed by verified LoRA evaluation/publication work."
  ]
}