Update S3D weights

[datumbox]

Continuation from work at #6412

Trained from scratch using the following recipe:

PYTHONPATH=$PYTHONPATH:`pwd` python -u run_with_submitit.py --ngpus 8 --nodes 8 --cache-dataset --batch-size=12 --lr 0.2 --clip-len 64 --clips-per-video 5 --sync-bn --model s3d --train-resize-size 256 256 --train-crop-size 224 224 --val-resize-size 256 256 --val-crop-size 224 224 --data-path="/datasets01_ontap_isolated/kinetics/070618/400/"
Submitted job_id: 59255

Validated with:

torchrun --nproc_per_node=8 train.py --data-path="/datasets01_ontap/kinetics/070618/400/" --batch-size=16 --test-only --cache-dataset --clip-len 128 --clips-per-video 1 --model s3d --weights S3D_Weights.KINETICS400_V1
 * Clip Acc@1 68.368 Clip Acc@5 88.050

[YosuaMichael]

Thanks for the PR @datumbox ! Overall looks good to me, just a single minor NIT.

[datumbox]

The failing test is unrelated. It's a memory issue on Windows that started popping up recently. If it doesn't go away on itsown we may have to disable the mvit* GPU tests on windows.