Model Training/args.json

{
    "arch": "trans_enc",
    "batch_size": 64,
    "cond_mask_prob": 0.0,
    "cuda": true,
    "data_dir": "",
    "dataset": "a2m_behavior",
    "device": 0,
    "diffusion_steps": 1000,
    "emb_trans_dec": false,
    "eval_batch_size": 32,
    "eval_during_training": true,
    "eval_num_samples": -1,
    "eval_rep_times": 5,
    "eval_split": "test",
    "lambda_fc": 1.0,
    "lambda_rcxyz": 1.0,
    "lambda_vel": 1.0,
    "latent_dim": 512,
    "layers": 8,
    "log_interval": 1000,
    "lr": 0.0001,
    "lr_anneal_steps": 0,
    "noise_schedule": "cosine",
    "num_frames": 100,
    "num_steps": 750000,
    "overwrite": true,
    "resume_checkpoint": "",
    "save_dir": "save/a2m_behavior_6",
    "save_interval": 25000,
    "seed": 10,
    "sigma_small": true,
    "train_platform_type": "TensorboardPlatform",
    "unconstrained": false,
    "weight_decay": 0.0
}