130 lines
6.4 KiB
Plaintext
130 lines
6.4 KiB
Plaintext
[start] samples=100 groups=37 folds=5 seeds=[42, 3407, 2026] device=cuda
|
||
[fold 1/5] train=80 validation=20 train_video_ids=31 validation_video_ids=6
|
||
[fold 1] evaluate M1 and train identical probes
|
||
[fold 1] evaluate M2 and train identical probes
|
||
[fold 1] train M3, seed=42
|
||
In file included from /usr/include/python3.14/pyconfig.h:6,
|
||
from /usr/include/python3.14/Python.h:14,
|
||
from /home/gloamxun/modeling_zhaocui/Q1/.venv/lib/python3.14/site-packages/triton/backends/nvidia/driver.c:9:
|
||
/usr/include/python3.14/pyconfig-64.h:2031:9: warning: ‘_POSIX_C_SOURCE’ redefined
|
||
2031 | #define _POSIX_C_SOURCE 200809L
|
||
| ^~~~~~~~~~~~~~~
|
||
In file included from /usr/include/bits/libc-header-start.h:33,
|
||
from /usr/include/stdlib.h:26,
|
||
from /home/gloamxun/modeling_zhaocui/Q1/.venv/lib/python3.14/site-packages/triton/backends/nvidia/include/cuda.h:56,
|
||
from /home/gloamxun/modeling_zhaocui/Q1/.venv/lib/python3.14/site-packages/triton/backends/nvidia/driver.c:1:
|
||
/usr/include/features.h:319:10: note: this is the location of the previous definition
|
||
319 | # define _POSIX_C_SOURCE 202405L
|
||
| ^~~~~~~~~~~~~~~
|
||
[fold 1] M3, seed=42 best_epoch=50 val_objective=4.93766; running frozen probes
|
||
[fold 1] train M4, seed=42
|
||
[fold 1] M4, seed=42 best_epoch=4 val_objective=6.07687; running frozen probes
|
||
[fold 1] train M3, seed=3407
|
||
[fold 1] M3, seed=3407 best_epoch=50 val_objective=4.98259; running frozen probes
|
||
[fold 1] train M4, seed=3407
|
||
[fold 1] M4, seed=3407 best_epoch=4 val_objective=5.87185; running frozen probes
|
||
[fold 1] train M3, seed=2026
|
||
[fold 1] M3, seed=2026 best_epoch=50 val_objective=5.10248; running frozen probes
|
||
[fold 1] train M4, seed=2026
|
||
[fold 1] M4, seed=2026 best_epoch=3 val_objective=6.09901; running frozen probes
|
||
[fold 2/5] train=80 validation=20 train_video_ids=30 validation_video_ids=7
|
||
[fold 2] evaluate M1 and train identical probes
|
||
[fold 2] evaluate M2 and train identical probes
|
||
[fold 2] train M3, seed=42
|
||
[fold 2] M3, seed=42 best_epoch=1 val_objective=6.12588; running frozen probes
|
||
[fold 2] train M4, seed=42
|
||
[fold 2] M4, seed=42 best_epoch=1 val_objective=5.94268; running frozen probes
|
||
[fold 2] train M3, seed=3407
|
||
[fold 2] M3, seed=3407 best_epoch=50 val_objective=5.14454; running frozen probes
|
||
[fold 2] train M4, seed=3407
|
||
[fold 2] M4, seed=3407 best_epoch=3 val_objective=6.06774; running frozen probes
|
||
[fold 2] train M3, seed=2026
|
||
[fold 2] M3, seed=2026 best_epoch=50 val_objective=5.17416; running frozen probes
|
||
[fold 2] train M4, seed=2026
|
||
[fold 2] M4, seed=2026 best_epoch=1 val_objective=5.96431; running frozen probes
|
||
[fold 3/5] train=80 validation=20 train_video_ids=29 validation_video_ids=8
|
||
[fold 3] evaluate M1 and train identical probes
|
||
[fold 3] evaluate M2 and train identical probes
|
||
[fold 3] train M3, seed=42
|
||
[fold 3] M3, seed=42 best_epoch=50 val_objective=4.97643; running frozen probes
|
||
[fold 3] train M4, seed=42
|
||
[fold 3] M4, seed=42 best_epoch=3 val_objective=6.19582; running frozen probes
|
||
[fold 3] train M3, seed=3407
|
||
[fold 3] M3, seed=3407 best_epoch=50 val_objective=4.65949; running frozen probes
|
||
[fold 3] train M4, seed=3407
|
||
[fold 3] M4, seed=3407 best_epoch=9 val_objective=5.91066; running frozen probes
|
||
[fold 3] train M3, seed=2026
|
||
[fold 3] M3, seed=2026 best_epoch=50 val_objective=4.99993; running frozen probes
|
||
[fold 3] train M4, seed=2026
|
||
[fold 3] M4, seed=2026 best_epoch=3 val_objective=6.02409; running frozen probes
|
||
[fold 4/5] train=80 validation=20 train_video_ids=29 validation_video_ids=8
|
||
[fold 4] evaluate M1 and train identical probes
|
||
[fold 4] evaluate M2 and train identical probes
|
||
[fold 4] train M3, seed=42
|
||
[fold 4] M3, seed=42 best_epoch=50 val_objective=5.15230; running frozen probes
|
||
[fold 4] train M4, seed=42
|
||
[fold 4] M4, seed=42 best_epoch=1 val_objective=5.99857; running frozen probes
|
||
[fold 4] train M3, seed=3407
|
||
[fold 4] M3, seed=3407 best_epoch=50 val_objective=5.09800; running frozen probes
|
||
[fold 4] train M4, seed=3407
|
||
[fold 4] M4, seed=3407 best_epoch=2 val_objective=6.03456; running frozen probes
|
||
[fold 4] train M3, seed=2026
|
||
[fold 4] M3, seed=2026 best_epoch=50 val_objective=5.26026; running frozen probes
|
||
[fold 4] train M4, seed=2026
|
||
[fold 4] M4, seed=2026 best_epoch=2 val_objective=6.08121; running frozen probes
|
||
[fold 5/5] train=80 validation=20 train_video_ids=29 validation_video_ids=8
|
||
[fold 5] evaluate M1 and train identical probes
|
||
[fold 5] evaluate M2 and train identical probes
|
||
[fold 5] train M3, seed=42
|
||
[fold 5] M3, seed=42 best_epoch=50 val_objective=5.29874; running frozen probes
|
||
[fold 5] train M4, seed=42
|
||
[fold 5] M4, seed=42 best_epoch=4 val_objective=6.02189; running frozen probes
|
||
[fold 5] train M3, seed=3407
|
||
[fold 5] M3, seed=3407 best_epoch=50 val_objective=4.95355; running frozen probes
|
||
[fold 5] train M4, seed=3407
|
||
[fold 5] M4, seed=3407 best_epoch=8 val_objective=6.05872; running frozen probes
|
||
[fold 5] train M3, seed=2026
|
||
[fold 5] M3, seed=2026 best_epoch=50 val_objective=5.13369; running frozen probes
|
||
[fold 5] train M4, seed=2026
|
||
[fold 5] M4, seed=2026 best_epoch=1 val_objective=5.88269; running frozen probes
|
||
[done] elapsed_seconds=516.3 output=/home/gloamxun/modeling_zhaocui/Q1/outputs/method_comparison
|
||
{
|
||
"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."
|
||
]
|
||
}
|