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Export trained reference models
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{
"config": {
"run": {
"name": "us_wildfire_size",
"seed": 0,
"dtype": "float32"
},
"dataset": {
"kind": "tabular",
"name": "us_wildfire_size",
"file": "us_wildfire_size.pt",
"split": {
"standardize": true
}
},
"network": {
"name": "mlp",
"params": {
"width": 128,
"depth": 3,
"time_dim": 64,
"dropout": 0.0,
"use_norm": true
}
},
"models": {
"ddpm_v": {
"params": {
"n_steps": 128,
"sigma_max": 2.0,
"sampler": "ddpm"
}
},
"dlpm_eps": {
"params": {
"n_steps": 128,
"alpha": 1.8,
"sampler": "native"
}
},
"tedm_origin": {
"params": {
"n_steps": 64,
"nu": 2.2,
"sigma_min": 0.005,
"sigma_max": 5.0,
"sigma_data": 1.0,
"solver": "edm_stochastic_heun"
}
}
},
"pilot": {
"n_trials": 2,
"train": {
"n_epochs": 96,
"early_stopping_patience": 32,
"freq_logging": 16,
"stats_freq_epochs": 1
},
"sweep": {
"ddpm_v": {
"model": {
"sigma_max": [
2.0,
5.0
]
},
"train": {
"lr": [
0.0002,
0.0005
]
}
},
"dlpm_eps": {
"train": {
"lr": [
0.0002,
0.0005
]
}
},
"tedm_origin": {
"train": {
"lr": [
0.0002,
0.0005
]
}
}
}
},
"train": {
"device": "cuda",
"data_device": "cpu",
"batch_size": 512,
"n_epochs": 640,
"early_stopping_patience": 100,
"lr": 0.0005,
"num_workers": 0,
"use_adamw": true,
"weight_decay": 1e-06,
"grad_clip_norm": 10.0,
"lr_schedule": "cosine",
"warmup_steps": 100,
"cosine_eta_min_ratio": 0.05,
"freq_logging": 16,
"stats_freq_epochs": 1,
"log_grad_norm": true,
"ckpt_freq_epochs": 64,
"ckpt_keep_last": 4
},
"test": {
"batch_size": 512,
"loss_repeats": 2,
"loss_samples": 2000,
"n_samples": 32
},
"huggingface": {
"namespace": "Diffusion-Research-Lab",
"repository": "us-wildfire-size-1d-diffusion"
}
},
"model_name": "ddpm_v",
"model_params": {
"n_steps": 128,
"sigma_max": 2.0,
"sampler": "ddpm"
},
"sample_shape": [
1
],
"data_scale": 0.03256954997777939
}