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"title": "Ropedia Xperience-10M Current Result Versions and Model Groups",
"generated_at_utc": "2026-06-13T18:14:42+00:00",
"status": "pass",
"version_count": 3,
"model_group_count": 5,
"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 the two Cosmos3 targets answer different questions: Nano future-window retrieval versus Super structured JSON Reasoner evaluation.",
"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, Cosmos3-Nano is a future-window compatibility result, Cosmos3-Super Reasoner is a base-weight JSON-task evaluation, and Cosmos3-Super Forward-Dynamics LoRA is the first Super fine-tuned adapter branch."
],
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},
{
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"title": "128-Episode Aligned Simple/NN Baselines",
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"source": "results/omni_finetune/multi_episode_128_task_baselines/BASELINE_ALIGNMENT_REPORT.md",
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{
"task": "hand_trajectory_forecast",
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},
{
"task": "contact_prediction",
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},
{
"task": "object_relevance",
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{
"task": "caption_grounding",
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{
"task": "cross_modal_retrieval",
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},
{
"task": "modality_reconstruction",
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{
"task": "temporal_order",
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},
{
"task": "misalignment_detection",
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}
],
"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": {
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"cosmos3_nano_verified_package_count": 1,
"cosmos3_super_verified_package_count": 2
},
"models": [
"Qwen3-Omni LoRA",
"Cosmos3-Nano future-window compatibility branch",
"Cosmos3-Super Reasoner base-weight evaluation",
"Cosmos3-Super forward-dynamics LoRA"
],
"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",
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"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": {
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"test": 378,
"val": 432
},
"train_samples": 2403,
"val_samples": 432,
"eval_samples": 378,
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"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,
"held_out_episode_count": 14
},
"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"
}
],
"is_current": true,
"weights_repository": "planned separate Cosmos3 model repo after a real Cosmos diffusion/LoRA fine-tune exists; current result remains artifacts-only"
},
{
"id": "xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp",
"title": "Cosmos3-Super Forward-Dynamics LoRA",
"status": "verified",
"backbone": "cosmos3_super_forward_dynamics",
"dataset_contract": "xperience10m_camera_pose_forward_dynamics_v1",
"training_objective": "camera_pose_conditioned_future_vision_velocity_lora",
"source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/verified_result_summary.json",
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"eval_run_id": "xperience10m_cosmos3_nano_128ep_future_window_h5_compat_adapter_eval_test_full",
"counts": {
"dataset_samples": 3213,
"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,
"held_out_episode_count": 14
},
"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"
}
],
"is_current": true,
"weights_repository": "planned separate Cosmos3 model repo after a real Cosmos diffusion/LoRA fine-tune exists; current result remains artifacts-only"
}
],
"comparison_note": "The current 128-episode Cosmos result is a public-safe future-window compatibility adapter. It is not yet a full Cosmos diffusion/LoRA weight release."
},
{
"id": "cosmos3_super_reasoner",
"model_family": "Cosmos3-Super Reasoner",
"model_type": "base-weight vLLM Reasoner evaluation over nv-community/Cosmos3-Super",
"weight_repository": "none for this run; staged base weights only, no new fine-tuned weights",
"one_episode_runs": [
{
"id": "cosmos3_super_one_episode",
"title": "Cosmos3-Super One-Episode Fine-Tune",
"scope": "one public Xperience-10M sample episode",
"status": "not_run",
"source": null,
"weights": "none",
"interpretation": "No one-episode Cosmos3-Super adapter or fine-tuned weight run is published. The available Super result is the 128-episode held-out base-weight evaluation."
}
],
"readiness_runs": [
{
"id": "xperience10m_cosmos3_super_training_readiness_20260607",
"title": "Cosmos3-Super Training Readiness Probe",
"scope": "selected 128-episode 96/16/16 JSON-task dataset and staged Cosmos3-Super runtime",
"status": "blocked_until_trainer_implemented",
"source": "results/omni_finetune/xperience10m_cosmos3_super_training_readiness_20260607/training_readiness.json",
"split": "train/val/test by selected episode/session",
"counts": {
"dataset_samples": 3808,
"split_counts": {
"test": {
"samples": 448,
"episodes": 14,
"actions": 189
},
"train": {
"samples": 2848,
"episodes": 89,
"actions": 885
},
"val": {
"samples": 512,
"episodes": 16,
"actions": 223
}
}
},
"primary_metrics": {
"diffusers_runtime_supported": true,
"chat_sft_supported": false,
"weights_updated": false
},
"weights": "none; readiness audit only, no adapter checkpoint",
"interpretation": "This probe confirms the staged Cosmos3-Super Diffusers/GPU runtime and the same JSON QA dataset are visible. It predates the camera-pose action-target export, so use the 20260608 contract audit for the current trainer-readiness status."
},
{
"id": "xperience10m_cosmos3_super_training_readiness_metadata_a100_20260609",
"title": "Cosmos3-Super Remote Staging Readiness Probe",
"scope_label": "staging readiness",
"scope": "secondary 4-GPU staging tree, JSON-task dataset visibility, and metadata-only Cosmos3-Super runtime probe",
"status": "blocked_until_trainer_implemented",
"source": "results/omni_finetune/xperience10m_cosmos3_super_training_readiness_metadata_a100_20260609/training_readiness.json",
"split": "train/val/test by selected episode/session",
"counts": {
"dataset_samples": 3808,
"split_counts": {
"test": {
"samples": 448,
"episodes": 14,
"actions": 189
},
"train": {
"samples": 2848,
"episodes": 89,
"actions": 885
},
"val": {
"samples": 512,
"episodes": 16,
"actions": 223
}
}
},
"primary_metrics": {
"model_files_visible": false,
"diffusers_runtime_supported": false,
"cuda_device_count": 4,
"weights_updated": false
},
"weights": "none; staging readiness audit only, no adapter checkpoint",
"interpretation": "This metadata-only probe checks the secondary 4-GPU staging tree without loading the model pipeline or updating weights. It confirms the JSON task dataset is present, but the Cosmos3-Super model files and Diffusers runtime are not staged there yet, so real Super training should wait for model/runtime staging or run on the already prepared main host."
},
{
"id": "xperience10m_cosmos3_super_training_contract_audit_camera_pose_20260608",
"title": "Cosmos3-Super Camera-Pose Target Audit",
"scope_label": "action target contract",
"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 trainable Cosmos3-Super implementation that can backpropagate through this loss surface at the required memory scale; 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; the separate Forward-Dynamics LoRA group records the trainable adapter run and loss-based held-out evaluation."
},
{
"id": "cosmos3_super_forward_dynamics",
"model_family": "Cosmos3-Super Forward-Dynamics LoRA",
"model_type": "PEFT LoRA over nv-community/Cosmos3-Super for camera-pose-conditioned future vision velocity",
"weight_repository": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep",
"one_episode_runs": [
{
"id": "cosmos3_super_forward_dynamics_overfit_smoke",
"title": "Cosmos3-Super Forward-Dynamics Overfit Smoke",
"scope": "small overfit smoke before 128-episode scale-up",
"status": "verified_smoke",
"source": "results/omni_finetune/xperience10m_cosmos3_super_forward_dynamics_lora_overfit_after_qwen_v4_20260608_fsdp8_attn256_gradfix_savefix2/",
"weights": "local repaired LoRA smoke adapter, not public packaged as final",
"interpretation": "Validated the trainable adapter path, FSDP save repair, and Diffusers load before the full 128-episode run."
}
],
"multi_episode_128_runs": [
{
"id": "xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp",
"title": "Cosmos3-Super Forward-Dynamics LoRA",
"status": "verified",
"backbone": "cosmos3_super_forward_dynamics",
"dataset_contract": "xperience10m_camera_pose_forward_dynamics_v1",
"training_objective": "camera_pose_conditioned_future_vision_velocity_lora",
"source": "results/omni_finetune/verified_public/xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp/verified_result_summary.json",
"dataset_run_id": "xperience10m_cosmos3_camera_pose_targets_20260608",
"train_run_id": "xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608",
"eval_run_id": "xperience10m_cosmos3_super_forward_dynamics_lora_128ep_train1epoch_256_attn_full8gpu_20260608_eval_test_full_fsdp",
"counts": {
"dataset_samples": 3808,
"dataset_episodes": 119,
"split_counts": {
"test": 448,
"train": 2848,
"val": 512
},
"train_samples": 2848,
"val_samples": 512,
"eval_samples": 448,
"held_out_episode_count": 14,
"num_processes": 8
},
"primary_metrics": {
"adapter_parameter_numel": 26214400,
"held_out_episode_count": 14,
"test_forward_dynamics_mse": 3.6853174321087345,
"train_final_loss": 1.0785235166549683,
"val_forward_dynamics_mse": 4.008244896889664
},
"history": [
{
"epoch": 1,
"note": "FSDP 8-GPU LoRA over camera-pose-conditioned future vision velocity loss; adapter weights are excluded from this public package.",
"train_loss": 1.0785235166549683,
"val_loss": 4.008244896889664
}
],
"is_current": true,
"weights_repository": "https://huggingface.co/cy0307/ropedia-cosmos3-super-forward-dynamics-lora-128ep"
}
],
"comparison_note": "This is the first verified Cosmos3-Super fine-tuned adapter branch. Its metric is forward-dynamics MSE, so compare it to world-model loss or future-prediction targets, not to Qwen JSON classification accuracy."
}
],
"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, full-parameter feasibility gates, and separate 128-episode LoRA diagnostic packages; the newest verified full-eval 128-episode adapter belongs in the Qwen LoRA model repo.",
"Cosmos3-Nano has a 128-episode future-window compatibility package.",
"Cosmos3-Super now has both a 128-episode base-weight Reasoner evaluation on the JSON task and a fine-tuned forward-dynamics LoRA branch over camera-pose proxy targets."
],
"pending": [
"Use the verified Qwen3 v6 rank64/lr5e-5 dense multiscale full-eval package as the latest current Qwen row; the v5 release tag remains pinned as the previous verified release.",
"Read results/omni_finetune/QWEN3_V5_V6_COMPARISON_20260614.md before claiming v6 is globally better than v5, because v6 improves action macro-F1 and contact accuracy but regresses subtask, next-action, object micro-F1, and JSON validity slightly."
]
}
|