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DA-VINC-E
File size: 2,478 Bytes 
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{
    "seed": 1,
    
    "decoder": {
        "unets": [
            {
                "dim": 416,
                "cond_dim": 512,
                "image_embed_dim": 768,
                "channels": 3,
                "dim_mults": [1, 2, 3, 4],
                "num_resnet_blocks": 4,
                "attn_heads": 8,
                "attn_dim_head": 64,
                "sparse_attn": true
            }
        ],
        "image_sizes": [64],
        "channels": 3,
        "timesteps": 1000,
        "loss_type": "l2",
        "beta_schedule": ["cosine"],
        "learned_variance": true
    },
    "data": {
        "webdataset_base_url": "pipe:aws s3 cp --quiet s3://s-datasets/laion-aesthetic/data/laion2B-en-aesthetic/{}.tar -", 
        "embeddings_url": "s3://s-datasets/laion-aesthetic/ordered_embeddings/",
        "num_workers": 4,
        "batch_size": 8,
        "start_shard": 0,
        "end_shard": 5247,
        "shard_width": 5,
        "index_width": 4,
        "splits": {
            "train": 0.75,
            "val": 0.15,
            "test": 0.1
        },
        "shuffle_train": false,
        "resample_train": true,
        "preprocessing": {
            "RandomResizedCrop": {
                "size": [64, 64],
                "scale": [0.75, 1.0],
                "ratio": [1.0, 1.0]
            },
            "ToTensor": true
        }
    },
    "train": {
        "epochs": 40,
        "lr":5e-5,
        "wd": 0.01,
        "max_grad_norm": 0.5,
        "save_every_n_samples": 200000,
        "n_sample_images": 10,
        "device": "cuda:0",
        "epoch_samples": 2000000,
        "validation_samples": 100000,
        "use_ema": true,
        "ema_beta": 0.99,
        "ema_param_or_buffer_names_no_ema": ["_dummy"],
        "save_all": false,
        "save_latest": true,
        "save_best": true,
        "unet_training_mask": [true]
    },
    "evaluate": {
        "n_evaluation_samples": 30,
        "FID": {
            "feature": 64
        },
        "LPIPS": {
            "net_type": "vgg",
            "reduction": "mean"
        }
    },
    "tracker": {
        "tracker_type": "wandb",
        "data_path": ".tracker-data",
        "verbose": true,

        "wandb_entity": "nousr_laion",
        "wandb_project": "dalle2_train_decoder"
    },
    "load": {
        "source": "wandb",

        "run_path": "nousr_laion/dalle2_train_decoder/3rrsm5gy",
        "file_path": "best.pth",

        "resume": false
    }
}