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sit-repae-sdvae
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{
    "output_dir": "exps",
    "exp_name": "sit-xl-dinov2-b-enc8-repae-sdvae-0.5-1.5-400k",
    "logging_dir": "logs",
    "report_to": "wandb",
    "sampling_steps": 10000,
    "resume_step": 0,
    "continue_train_exp_dir": null,
    "wandb_history_path": null,
    "model": "SiT-XL/2",
    "num_classes": 1000,
    "encoder_depth": 8,
    "qk_norm": false,
    "fused_attn": true,
    "bn_momentum": 0.1,
    "compile": true,
    "data_dir": "data",
    "resolution": 256,
    "batch_size": 256,
    "allow_tf32": true,
    "mixed_precision": "fp16",
    "epochs": 1400,
    "max_train_steps": 400000,
    "checkpointing_steps": 50000,
    "gradient_accumulation_steps": 1,
    "learning_rate": 0.0001,
    "adam_beta1": 0.9,
    "adam_beta2": 0.999,
    "adam_weight_decay": 0.0,
    "adam_epsilon": 1e-08,
    "max_grad_norm": 1.0,
    "seed": 0,
    "num_workers": 4,
    "path_type": "linear",
    "prediction": "v",
    "cfg_prob": 0.1,
    "enc_type": "dinov2-vit-b",
    "proj_coeff": 0.5,
    "weighting": "uniform",
    "vae": "f8d4",
    "vae_ckpt": "pretrained/sdvae/sdvae-f8d4.pt",
    "disc_pretrained_ckpt": "pretrained/sdvae/sdvae-f8d4-discriminator-ckpt.pt",
    "loss_cfg_path": "configs/l1_lpips_kl_gan.yaml",
    "vae_learning_rate": 0.0001,
    "disc_learning_rate": 0.0001,
    "vae_align_proj_coeff": 1.5
}