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aditijc
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smooth-hierarchy-ucf101-canary-v1

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train · 1 rows

experiment_slug string	job_id string	cluster string	node string	gpu string	elapsed string	exit_code int64	global_steps int64	max_epochs int64	limit_train_batches int64	image_size int64	batch_size int64	lr float64	dataset string	data_root string	model_arch string	lambda1 float64	lambda2 float64	lambda3 float64	lambda4 float64	skip_beta_power float64	recon_all_betas bool	frames_per_clip int64	step_between_clips int64	delta_t int64	val_fraction float64	checkpoint_every_n_train_steps int64	wandb_log_images_every int64	wandb_run_url string	loss_components_logged string	beta_image_panels string	artifact_status string	canary bool	script_name string	sbatch string	repo_head string	model string	description string
smooth-hierarchy-ucf101	6876770	torch	gh116	NVIDIA H200	00:06:28	0	400	2	200	64	128	0.0001	ucf101	/scratch/ajc10180/data/ucf101	FiLM-conditioned U-Net	1	1	1	1	1	false	32	8	2	0.05	100	50	https://wandb.ai/aditijc5-new-york-university/smooth-hierarchy/runs/9yngjsbe	l1,l2,l3,l4,total_loss	0,0.1,0.5,0.9,1.0	final	true	train.py	canary.sbatch	348c9cf	FiLM-UNet	Canary run for smooth-hierarchy-ucf101: 2 epochs x 200 batches on UCF101 @ 64x64, verifying pipeline before 50-epoch main run.

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