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modeling_zhaocui/deep_learning/Q1/outputs/method_comparison/run_manifest.json
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{
"created_utc": "2026-09-23T09:07:49.626404+00:00",
"sample_count": 100,
"group_count": 37,
"folds": 5,
"seeds": [
42,
3407,
2026
],
"device": "cuda",
"gpu_name": "NVIDIA GeForce RTX 5070 Ti",
"python": "3.14.7",
"torch": "2.14.0+cu130",
"parameters": {
"grid_size": 50,
"hidden_size": 128,
"heads": 4,
"dropout": 0.1,
"batch_size": 8,
"epochs_max": 50,
"early_stopping_patience": 8,
"learning_rate": 0.0001,
"mask_ratio": 0.2,
"retrieval_probe_epochs": 20,
"reconstruction_probe_epochs": 25,
"mvr_epsilon": 0.02
},
"objective": "masked reconstruction + cross-modal contrastive + temporal monotonicity; emotion labels unused",
"split_rule": "GroupKFold by group_id/video_id",
"example_sample_id": "-tPCytz4rww/12",
"elapsed_seconds": 516.2944533824921,
"interpretation_limits": [
"Grid-index retrieval is a representation-consistency probe, not independent temporal ground truth.",
"Masked reconstruction uses a decoder trained on the training fold and reports standardized-feature errors.",
"The emotion probe is a small-sample downstream utility check, not a claim of generalization to MOSEI.",
"No human event timestamps are available, so human IoU/MATE is not reported."
]
}