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test_model
File size: 2,584 Bytes 
367b860
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
    "seed": 1,
    
    "decoder": {
        "unets": [
            {
                "dim": 256,
                "image_embed_dim": 768,
                "channels": 3,
                "dim_mults": [1, 2, 3, 4]
            }
        ],
        "image_sizes": [64],
        "channels": 3,
        "timesteps": 1000,
        "loss_type": "l2",
        "beta_schedule": ["cosine"],
        "learned_variance": true
    },
    "data": {
        "webdataset_base_url": "pipe:s3cmd get s3://s-datasets/laion5b/laion2B-data/{}.tar -",
        "embeddings_url": "s3://s-laion5b/embeddings/vit-l-14/laion2B-en/img_emb_reordered_tiny/",
        "num_workers": 4,
        "batch_size": 24,
        "start_shard": 0,
        "end_shard": 49,
        "shard_width": 6,
        "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": 100,
        "lr":5e-5,
        "wd": 0.1,
        "max_grad_norm": 0.5,
        "save_every_n_samples": 1000,
        "n_sample_images": 10,
        "device": "cuda:0",
        "epoch_samples": 1500,
        "validation_samples": 1000,
        "use_ema": true,
        "ema_beta": 0.99,
        "unet_training_mask": [true]
    },
    "evaluate": {
        "n_evaluation_samples": 30,
        "FID": {
            "feature": 64
        },
        "LPIPS": {
            "net_type": "vgg",
            "reduction": "mean"
        }
    },
    "tracker": {
        "data_path": "/opt/dalle2_generator/test_models",

        "log": {
            "log_type": "console",

            "wandb_entity": "veldrovive",
            "wandb_project": "dalle2_train_decoder",
            "wandb_run_id": "2gs6020x",
            "wandb_run_name": "test",
            "wandb_resume": true,

            "verbose": true
        },

        "load": {
            "load_from": "wandb",
    
            "wandb_run_path": "veldrovive/dalle2_train_decoder/2gs6020x",
            "wandb_file_path": "latest.pth"
        },

        "save": [{
            "save_to": "huggingface",
            "huggingface_repo": "Veldrovive/test_model",

            "save_all": false,
            "save_latest": true,
            "save_best": true,

            "save_type": "model"
        }]
    }
}