| { |
| "title": "Ropedia Xperience-10M Current Result Versions", |
| "generated_at_utc": "2026-06-06T23:26:13+00:00", |
| "status": "pass", |
| "version_count": 3, |
| "comparison_rule": "Compare only rows with the same scope and target. Single-episode raw-feature metrics, 128-episode metadata baselines, Qwen3 structured JSON metrics, and Cosmos3 future-window metrics answer different questions.", |
| "version_reading_notes": [ |
| "Version 1 is the public-sample 12-task harness with minimal and neural heads.", |
| "Version 2 is the selected 128-episode same-split simple/NN baseline alignment.", |
| "Version 3 is the verified model-branch layer: the current final Qwen3-Omni LoRA package is the JSON-task diagnostic result, while Cosmos3-Nano is a future-window compatibility result rather than a full Cosmos diffusion fine-tune." |
| ], |
| "versions": [ |
| { |
| "id": "v1_single_episode_public_sample", |
| "title": "Single-Episode Public-Sample Task Suite", |
| "status": "verified", |
| "scope": "one public Xperience-10M sample episode", |
| "source": "results/episode_task_suite/summary_report.json", |
| "split": "chronological 70/30 within one episode", |
| "counts": { |
| "episodes": 1, |
| "windows": 1161, |
| "frames": 5821, |
| "feature_dim": 8546, |
| "task_count": 12, |
| "neural_task_count": 12 |
| }, |
| "models": [ |
| "minimal task heads", |
| "compact neural MLP task heads" |
| ], |
| "task_metrics": [ |
| { |
| "task": "caption_grounding", |
| "task_display_name": "Language Grounding", |
| "simple_status": "pass", |
| "simple_primary_metric": "mrr", |
| "simple_primary_score": 0.016023479050338015, |
| "neural_status": "pass", |
| "neural_primary_metric": "mrr", |
| "neural_primary_score": 0.01684125567132316 |
| }, |
| { |
| "task": "contact_prediction", |
| "task_display_name": "Contact State Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 1.0, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 1.0 |
| }, |
| { |
| "task": "cross_modal_retrieval", |
| "task_display_name": "Cross-Modal Retrieval", |
| "simple_status": "pass", |
| "simple_primary_metric": "mrr", |
| "simple_primary_score": 0.26925966892956127, |
| "neural_status": "pass", |
| "neural_primary_metric": "mrr", |
| "neural_primary_score": 0.1299971898648288 |
| }, |
| { |
| "task": "hand_trajectory_forecast", |
| "task_display_name": "Hand Trajectory Forecasting", |
| "simple_status": "pass", |
| "simple_primary_metric": "mpjpe", |
| "simple_primary_score": 0.8646570444107056, |
| "neural_status": "pass", |
| "neural_primary_metric": "mpjpe", |
| "neural_primary_score": 0.10785018652677536 |
| }, |
| { |
| "task": "misalignment_detection", |
| "task_display_name": "Multimodal Synchronization Detection", |
| "simple_status": "pass", |
| "simple_primary_metric": "f1", |
| "simple_primary_score": 0.5051698670605613, |
| "neural_status": "pass", |
| "neural_primary_metric": "f1", |
| "neural_primary_score": 0.7152682255845944 |
| }, |
| { |
| "task": "modality_reconstruction", |
| "task_display_name": "Cross-Modal Reconstruction", |
| "simple_status": "pass", |
| "simple_primary_metric": "r2", |
| "simple_primary_score": -0.015271898913936655, |
| "neural_status": "pass", |
| "neural_primary_metric": "r2", |
| "neural_primary_score": -0.010171410134180991 |
| }, |
| { |
| "task": "next_action", |
| "task_display_name": "Next-Action Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.05925925925925927, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.04186046511627907 |
| }, |
| { |
| "task": "object_relevance", |
| "task_display_name": "Object Relevance Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "micro_f1", |
| "simple_primary_score": 0.18034382095361662, |
| "neural_status": "pass", |
| "neural_primary_metric": "micro_f1", |
| "neural_primary_score": 0.1679279279279279 |
| }, |
| { |
| "task": "temporal_order", |
| "task_display_name": "Temporal Order Verification", |
| "simple_status": "pass", |
| "simple_primary_metric": "accuracy", |
| "simple_primary_score": 0.4540229885057471, |
| "neural_status": "pass", |
| "neural_primary_metric": "accuracy", |
| "neural_primary_score": 0.8577586206896551 |
| }, |
| { |
| "task": "timeline_action", |
| "task_display_name": "Action Recognition", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.05, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.014814814814814814 |
| }, |
| { |
| "task": "timeline_subtask", |
| "task_display_name": "Procedure Step Recognition", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.05056355513846935, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.02810810810810811 |
| }, |
| { |
| "task": "transition_detection", |
| "task_display_name": "Action Boundary Detection", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.6118237590630229, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.5862068965517241 |
| } |
| ], |
| "interpretation": "This layer verifies the 12 task contracts and raw multimodal feature pipeline on the public sample. It is not a cross-episode benchmark." |
| }, |
| { |
| "id": "v2_multi_episode_128_aligned_metadata_baselines", |
| "title": "128-Episode Aligned Simple/NN Baselines", |
| "status": "pass", |
| "scope": "selected 128-episode 96/16/16 split", |
| "source": "results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md", |
| "split": "train/val/test by selected episode/session", |
| "counts": { |
| "rows": 3808, |
| "split_counts": { |
| "train": 2848, |
| "val": 512, |
| "test": 448 |
| }, |
| "episode_counts": { |
| "test": 16, |
| "train": 96, |
| "val": 16 |
| }, |
| "task_count": 12, |
| "simple_supported_task_count": 8, |
| "neural_supported_task_count": 6 |
| }, |
| "models": [ |
| "metadata/text simple baselines", |
| "metadata/text neural MLP baselines" |
| ], |
| "task_metrics": [ |
| { |
| "task": "timeline_action", |
| "task_display_name": "Action Recognition", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.00017511601435951318, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.0 |
| }, |
| { |
| "task": "timeline_subtask", |
| "task_display_name": "Procedure Step Recognition", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.0, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.0 |
| }, |
| { |
| "task": "transition_detection", |
| "task_display_name": "Action Boundary Detection", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.5219803670507895, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.45822172492907925 |
| }, |
| { |
| "task": "next_action", |
| "task_display_name": "Next-Action Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.00019966057701906761, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.0 |
| }, |
| { |
| "task": "hand_trajectory_forecast", |
| "task_display_name": "Hand Trajectory Forecasting", |
| "simple_status": "unsupported_without_raw_128_feature_blocks", |
| "simple_primary_metric": "mpjpe", |
| "simple_primary_score": null, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| }, |
| { |
| "task": "contact_prediction", |
| "task_display_name": "Contact State Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "macro_f1", |
| "simple_primary_score": 0.5167950693374422, |
| "neural_status": "pass", |
| "neural_primary_metric": "macro_f1", |
| "neural_primary_score": 0.21951219512195122 |
| }, |
| { |
| "task": "object_relevance", |
| "task_display_name": "Object Relevance Prediction", |
| "simple_status": "pass", |
| "simple_primary_metric": "micro_f1", |
| "simple_primary_score": 0.18221614227086183, |
| "neural_status": "pass", |
| "neural_primary_metric": "micro_f1", |
| "neural_primary_score": 0.1053878034339846 |
| }, |
| { |
| "task": "caption_grounding", |
| "task_display_name": "Language Grounding", |
| "simple_status": "pass", |
| "simple_primary_metric": "mrr", |
| "simple_primary_score": 0.012785504572093487, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| }, |
| { |
| "task": "cross_modal_retrieval", |
| "task_display_name": "Cross-Modal Retrieval", |
| "simple_status": "unsupported_without_raw_128_feature_blocks", |
| "simple_primary_metric": "mrr", |
| "simple_primary_score": null, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| }, |
| { |
| "task": "modality_reconstruction", |
| "task_display_name": "Cross-Modal Reconstruction", |
| "simple_status": "unsupported_without_raw_128_feature_blocks", |
| "simple_primary_metric": "r2", |
| "simple_primary_score": null, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| }, |
| { |
| "task": "temporal_order", |
| "task_display_name": "Temporal Order Verification", |
| "simple_status": "pass", |
| "simple_primary_metric": "f1", |
| "simple_primary_score": 0.32713178294573647, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| }, |
| { |
| "task": "misalignment_detection", |
| "task_display_name": "Multimodal Synchronization Detection", |
| "simple_status": "unsupported_without_raw_128_feature_blocks", |
| "simple_primary_metric": "f1", |
| "simple_primary_score": null, |
| "neural_status": "not_run", |
| "neural_primary_metric": "", |
| "neural_primary_score": null |
| } |
| ], |
| "interpretation": "This layer aligns the previous simple and neural baseline framing to the same selected 96/16/16 split used by the model branches. It uses public-safe JSONL metadata/text features, so raw-feature-only tasks remain explicitly unsupported until 128-run sensor feature blocks exist." |
| }, |
| { |
| "id": "v3_multi_episode_foundation_model_branches", |
| "title": "128-Episode Foundation-Model Branches", |
| "status": "partial_verified", |
| "scope": "selected 128-episode split and compatible derived windows", |
| "source": "results/omni_finetune/verified_public/", |
| "split": "episode/session held-out split; exact task target depends on backbone contract", |
| "counts": { |
| "verified_branch_count": 4, |
| "qwen3_verified_package_count": 3, |
| "cosmos3_verified_package_count": 1 |
| }, |
| "models": [ |
| "Qwen3-Omni LoRA", |
| "Cosmos3-Nano future-window compatibility branch" |
| ], |
| "branches": [ |
| { |
| "id": "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full", |
| "title": "Cosmos3-Nano Future-Window World Model", |
| "status": "verified", |
| "backbone": "cosmos_world_model", |
| "dataset_contract": "xperience10m_future_window_world_model_v0", |
| "training_objective": "future_window_and_action_conditioned_world_modeling", |
| "source": "results/omni_finetune/verified_public/xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full/verified_result_summary.json", |
| "dataset_run_id": "xperience10m_cosmos3_nano_128ep_future_window_h5_compat", |
| "train_run_id": "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter", |
| "eval_run_id": "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full", |
| "counts": { |
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| "dataset_episodes": 119, |
| "split_counts": { |
| "train": 2403, |
| "test": 378, |
| "val": 432 |
| }, |
| "train_samples": 2403, |
| "val_samples": 432, |
| "eval_samples": 378, |
| "held_out_episode_count": 14, |
| "num_processes": 1 |
| }, |
| "primary_metrics": { |
| "future_retrieval_mrr": 0.022138720585222767, |
| "future_retrieval_recall_at_5": 0.015873015873015872, |
| "temporal_consistency": 0.09523809523809523, |
| "feature_reconstruction_error": 3479.218317102503, |
| "transition_accuracy": 0.9682539682539683, |
| "contact_accuracy": 0.7433862433862434, |
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| }, |
| "history": [ |
| { |
| "epoch": 0, |
| "train_loss": null, |
| "val_loss": null, |
| "note": "closed-form mean-delta adapter; no Cosmos diffusion weights fine-tuned in this compatibility run" |
| } |
| ] |
| }, |
| { |
| "id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval", |
| "title": "Qwen3-Omni LoRA", |
| "status": "verified", |
| "backbone": "qwen3_omni_lora", |
| "dataset_contract": "xperience10m_episode_json_qa_v1", |
| "training_objective": "structured_episode_understanding_json_qa", |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval/verified_result_summary.json", |
| "dataset_run_id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605", |
| "train_run_id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_lora", |
| "eval_run_id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_eval", |
| "counts": { |
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| }, |
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| }, |
| "primary_metrics": { |
| "json_validity_rate": 0.875, |
| "action_macro_f1": 0.0026621494447581404, |
| "subtask_accuracy": 0.006696428571428571, |
| "transition_accuracy": 0.8504464285714286, |
| "next_action_accuracy": 0.024553571428571428, |
| "contact_accuracy": 0.6450892857142857, |
| "object_micro_f1": 0.22299431459254582, |
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| }, |
| "history": [ |
| { |
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| "train_loss": 0.41304643672440994, |
| "val_loss": 0.0330660454928875, |
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| } |
| ] |
| }, |
| { |
| "id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6_eval_test_full", |
| "title": "Qwen3-Omni LoRA", |
| "status": "verified", |
| "backbone": "qwen3_omni_lora", |
| "dataset_contract": "xperience10m_episode_json_qa_v1", |
| "training_objective": "structured_episode_understanding_json_qa", |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6_eval_test_full/verified_result_summary.json", |
| "dataset_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu", |
| "train_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6", |
| "eval_run_id": "xperience10m_qwen3_omni_128ep_fullsplit_fast8gpu_lora_fsdp_full_train_noval_tail_logits_fullstatesave_v6_eval_test_full", |
| "counts": { |
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| }, |
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| }, |
| "primary_metrics": { |
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| "action_macro_f1": 0.00213753459655099, |
| "subtask_accuracy": 0.004464285714285714, |
| "transition_accuracy": 0.828125, |
| "next_action_accuracy": 0.022321428571428572, |
| "contact_accuracy": 0.6517857142857143, |
| "object_micro_f1": 0.23062730627306272, |
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| }, |
| "history": [ |
| { |
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| } |
| ] |
| }, |
| { |
| "id": "xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora_eval_test_full", |
| "title": "Qwen3-Omni LoRA", |
| "status": "verified", |
| "backbone": "qwen3_omni_lora", |
| "dataset_contract": "xperience10m_episode_json_qa_v1", |
| "training_objective": "structured_episode_understanding_json_qa", |
| "source": "results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora_eval_test_full/verified_result_summary.json", |
| "dataset_run_id": "xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605", |
| "train_run_id": "xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora", |
| "eval_run_id": "xperience10m_qwen3_omni_128ep_structured_json_v2_reuse_full8gpu_lora_eval_test_full", |
| "counts": { |
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| "train": 2848, |
| "val": 512, |
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| }, |
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| "eval_samples": 448, |
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| "num_processes": 8 |
| }, |
| "primary_metrics": { |
| "json_validity_rate": 0.9977678571428571, |
| "action_macro_f1": 0.0024331644885523347, |
| "subtask_accuracy": 0.002232142857142857, |
| "transition_accuracy": 0.9709821428571429, |
| "next_action_accuracy": 0.029017857142857144, |
| "contact_accuracy": 0.71875, |
| "object_micro_f1": 0.30160427807486634, |
| "held_out_episode_count": 14 |
| }, |
| "history": [ |
| { |
| "epoch": 1, |
| "train_loss": 0.41282760031950355, |
| "val_loss": 0.03288277983665466, |
| "global_step": 356 |
| }, |
| { |
| "epoch": 2, |
| "train_loss": 0.027745448225544075, |
| "val_loss": 0.027823254466056824, |
| "global_step": 712 |
| } |
| ] |
| } |
| ], |
| "interpretation": "This layer contains the held-out foundation-model packages. Qwen3-Omni packages evaluate structured JSON task prediction; Cosmos3-Nano currently evaluates a future-window world-model compatibility adapter, not a full diffusion-weight fine-tune." |
| } |
| ], |
| "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 compatibility adapter to full Cosmos3 fine-tuning only after a separate environment with matching Diffusers/Cosmos dependencies is prepared." |
| ] |
| } |
|
|
