{
    "experiment": {
        "project": "tatitok_sl128_vae",
        "name": "tatitok_sl128_vae_run1",
        "output_dir": "tatitok_sl128_vae_run1",
        "max_train_examples": 685800000,
        "save_every": 50000,
        "eval_every": 50000,
        "generate_every": 5000,
        "log_every": 50,
        "log_grad_norm_every": 1000,
        "resume": true,
        "tokenizer_checkpoint": "tatitok_sl128_vae.bin"
    },
    "model": {
        "vq_model": {
            "quantize_mode": "vae",
            "token_size": 16,
            "vit_enc_model_size": "small",
            "vit_dec_model_size": "large",
            "vit_enc_patch_size": 16,
            "vit_dec_patch_size": 16,
            "num_latent_tokens": 128,
            "finetune_decoder": false,
            "is_legacy": false
        }
    },
    "losses": {
        "discriminator_start": 200000,
        "quantizer_weight": 1.0,
        "discriminator_factor": 1.0,
        "discriminator_weight": 0.1,
        "perceptual_loss": "lpips-convnext_s-1.0-0.1",
        "perceptual_weight": 1.1,
        "reconstruction_loss": "l2",
        "reconstruction_weight": 1.0,
        "lecam_regularization_weight": 0.001,
        "kl_weight": 1e-06,
        "logvar_init": 0.0
    },
    "dataset": {
        "params": {
            "train_shards_path_or_url": "datacomp_sharded/train/datacomp-train-{000000..140089}.tar",
            "eval_shards_path_or_url": "imagenet_sharded/val/imagenet-val-{0000..0009}.tar",
            "num_workers_per_gpu": 12,
            "dataset_with_class_label": false,
            "dataset_with_text_label": true
        },
        "preprocessing": {
            "resize_shorter_edge": 256,
            "crop_size": 256,
            "random_crop": true,
            "random_flip": true,
            "res_ratio_filtering": true
        }
    },
    "optimizer": {
        "name": "adamw",
        "params": {
            "learning_rate": 0.0001,
            "discriminator_learning_rate": 0.0001,
            "beta1": 0.9,
            "beta2": 0.999,
            "weight_decay": 0.0001
        }
    },
    "lr_scheduler": {
        "scheduler": "cosine",
        "params": {
            "learning_rate": "${optimizer.params.learning_rate}",
            "warmup_steps": 10000,
            "end_lr": 1e-05
        }
    },
    "training": {
        "gradient_accumulation_steps": 1,
        "per_gpu_batch_size": 32,
        "mixed_precision": "fp16",
        "enable_tf32": true,
        "enable_wandb": true,
        "use_ema": true,
        "seed": 42,
        "max_train_steps": 650000,
        "num_generated_images": 2,
        "max_grad_norm": 1.0
    }
}