args.json

{
    "adam_beta2": 0.999,
    "arch": "trans_enc",
    "autoregressive": false,
    "autoregressive_include_prefix": false,
    "autoregressive_init": "data",
    "avg_model_beta": 0.9999,
    "batch_size": 64,
    "cond_mask_prob": 0.1,
    "context_len": 0,
    "cuda": true,
    "data_dir": "",
    "dataset": "humanml",
    "device": 0,
    "diffusion_steps": 1000,
    "emb_trans_dec": false,
    "eval_batch_size": 32,
    "eval_during_training": false,
    "eval_num_samples": 1000,
    "eval_rep_times": 3,
    "eval_split": "test",
    "external_mode": false,
    "gen_during_training": false,
    "gen_guidance_param": 2.5,
    "gen_num_repetitions": 2,
    "gen_num_samples": 3,
    "lambda_fc": 0.0,
    "lambda_rcxyz": 0.0,
    "lambda_target_loc": 0.0,
    "lambda_vel": 0.0,
    "latent_dim": 512,
    "layers": 8,
    "log_interval": 1000,
    "lr": 0.0001,
    "lr_anneal_steps": 0,
    "mask_frames": false,
    "multi_encoder_type": "single",
    "multi_target_cond": false,
    "noise_schedule": "cosine",
    "num_frames": 60,
    "num_steps": 600000,
    "overwrite": true,
    "pos_embed_max_len": 5000,
    "pred_len": 0,
    "resume_checkpoint": "",
    "save_dir": "save/humanml_mixamo2_trans_enc_512",
    "save_interval": 50000,
    "seed": 10,
    "sigma_small": true,
    "target_enc_layers": 1,
    "target_joint_names": "DIMP_FINAL",
    "text_encoder_type": "clip",
    "train_platform_type": "TensorboardPlatform",
    "unconstrained": false,
    "use_ema": false,
    "weight_decay": 0.0
}