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        cli_version: 0.28.1
        e:
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                codePath: wm_aes/models/maxgen/distillation/train_ltdec_fd.py
                codePathLocal: wm_aes/models/maxgen/distillation/train_ltdec_fd.py
                cpu_count: 64
                cpu_count_logical: 128
                cudaVersion: "12.4"
                disk:
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                        used: "296780533760"
                docker: .io/pytorch/pytorch@sha256:32df3983bd9e3ce902afea25d92ba07b9823f6edd5f6bcd4338cbdce256947e0
                email: jxiong21029@gmail.com
                executable: /usr/bin/python3
                git:
                    commit: 1cedacc700d5773c99db8271d195488eb8fef8d4
                    remote: https://github.com/jxiong21029/wm-aes.git
                gpu: NVIDIA H200
                gpu_count: 8
                gpu_nvidia:
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-076fa98e-3cb2-3843-fe75-13162c377baa
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-f1d22a92-4d2a-c9c7-cd96-1599bca5259b
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-e05b1d37-290e-cf53-178a-9a8652cf9eae
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-c1b1a344-b4f6-c878-c90d-0503be57bf49
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-5591673c-dbd9-9f86-cc02-e2d69ec830ad
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-e28338dd-4bde-6465-fef5-9652da2d3e68
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-8db32a16-1099-aceb-dd5d-5e2e2f643c92
                    - architecture: Hopper
                      cudaCores: 16896
                      memoryTotal: "150754820096"
                      name: NVIDIA H200
                      uuid: GPU-52b92b01-6efe-7b7e-0f3e-6d288faa761a
                host: sky-ceba-jerryxiong-d19f003d-head
                memory:
                    total: "1690983649280"
                os: Linux-5.15.0-142-generic-x86_64-with-glibc2.39
                program: /app/wm_aes/models/maxgen/distillation/train_ltdec_fd.py
                python: CPython 3.12.3
                root: /mnt/data/wm-aes
                startedAt: "2026-07-30T04:13:08.033082Z"
                writerId: ciq56l2bkopdwoxv0hflf78jtgguipif
        m: []
        python_version: 3.12.3
        t:
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            "2":
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                - 41
            "3":
                - 16
                - 61
            "4": 3.12.3
            "5": 0.28.1
            "12": 0.28.1
            "13": linux-x86_64
base_ckpt:
    value: /mnt/data/wm-aes/wandb/run-20260723_060955-6j0fhgdf
base_lr:
    value: 0.0001
base_wd:
    value: 1e-05
betas:
    value:
        - 0.9
        - 0.99
compile_mode:
    value: default
dtype:
    value: bfloat16
early_valid_steps:
    value:
        - 1
        - 100
        - 500
fd_cov_eps:
    value: 1e-06
fd_decay:
    value: 0.99
feature_fd_weight:
    value: 0.1
input_sizes:
    value:
        - - 720
          - 1280
        - - 288
          - 640
lora_lr:
    value: 1e-05
lr_cooldown_ratio:
    value: 0
lr_cooldown_start:
    value: 5000
mse_weight:
    value: 1
muon_exclusions:
    value:
        - dwconv_weight
        - latent_proj.weight
        - out_proj.weight
n_steps:
    value: 10000
n_video_seq_per_device:
    value:
        - 1
        - 1
n_visuals:
    value: 16
num_loader_workers:
    value: 4
profile:
    value: false
profile_dir:
    value: logs/profile/
profile_record_shapes:
    value: false
profile_with_stack:
    value: false
run_base_dir:
    value: /mnt/data/wm-aes/
run_name:
    value: null
scalar_lr:
    value: 1e-05
seed:
    value: 0
seq_len:
    value: 80
tqdm_kwargs:
    value:
        mininterval: 3
        ncols: 100
        smoothing: 1
train_vid_indexes:
    value:
        - wm_aes/data/indexes/owlc_train_10000.jsonl
        - wm_aes/data/indexes/ov1m_train_100000.jsonl
use_wandb:
    value: true
valid_interval:
    value: 1000
valid_size:
    value: 1024
valid_vid_indexes:
    value:
        - wm_aes/data/indexes/owlc_eval_100.jsonl
        - wm_aes/data/indexes/ov1m_eval_1000.jsonl
wandb_group:
    value: dito-v1
wd_cooldown:
    value: false
wd_exclusions:
    value:
        - dwconv_weight