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Training run for MERGE

8 metrics · 27,648 train · 0 val

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completed Feb 7, 02:44 Started 85d 9h ago Python 3.9.18 merge/train_dehaze_depth.py --pretrained_model_name_or_path=PixArt-alpha/PixArt-XL-2-512x512 --config=config/train_dehaze_depth.yaml --output_dir=/cluster/scratch/drothenpiele/MERGE/static_prompt_unfrozen_2_300m --train_batch_size=1 --gradient_accumulation_steps=16 --num_train_epochs=1000 --learning_rate=1e-4 --lr_scheduler=linear --lr_warmup_steps=50 --mixed_precision=fp16 --seed=42 --num_layers=14 --num_attention_heads=16 --attention_head_dim=72 --ff_mult=1 --converter_init_type=pretrained --multi_res_noise=True --lambda_dehaze=1.0 --lambda_depth=1.0 --checkpointing_steps=1000 --validation_steps=10 --report_to=wandb --wandb_name=dehaze_depth_vkitti --tracker_project_name=merge_dehaze_depth --base_data_dir=/cluster/work/igp_psr/drothenpiele/data/ --dataloader_num_workers=2 --max_grad_norm=1.0 --num_unfrozen_backbone_layers=2 --gradient_checkpointing --run_name=Unfrozen-2-300m --runlog_dir=/cluster/work/igp_psr/drothenpiele/out/train/MERGE
lr 1e-4precision fp16 seed 42grad accum 16grad clip 1
ID 56460454 Job MERGE_d_d Part gpuhe.120h Node eu-g6-006 CPU 8 GPU nvidia_geforce_rtx_4090:1
Metrics 8/8
gpu 4
mem 3
total/gb
used/gb
util/pct
util/pct
dehaze/loss
depth/loss
lr
total/loss
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Series

Dehaze Loss

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Depth Loss

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Gpu Mem Total Gb

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Gpu Mem Used Gb

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Gpu Mem Util Pct

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Gpu Util Pct

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Lr

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

Total Loss

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2026-02-07_02-44-25_ee44 train (smoothed)
2026-02-07_02-44-25_ee44 train (raw)

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