Upload MotionCLR checkpoints

latest.tar

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mean.npy

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meta/mean.npy

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meta/std.npy

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model/latest.tar

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opt.txt

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+------------ Options -------------
+base_dim: 512
+batch_size: 64
+beta_schedule: linear
+checkpoints_dir: ./checkpoints
+clip_grad_norm: 1
+cond_mask_prob: 0.1
+continue_ckpt: latest.tar
+dataset_name: t2m
+debug: False
+decay_rate: 0.9
+diffusion_steps: 1000
+dim_mults: [2, 2, 2, 2]
+dropout: 0.1
+feat_bias: 5
+is_continue: False
+latent_dim: 512
+log_every: 500
+lr: 0.0001
+model_ema: True
+model_ema_decay: 0.9999
+model_ema_steps: 32
+name: self_attn—fulllayer-ffn-drop0_1-lr1e4
+no_adagn: False
+no_eff: True
+num_layers: 8
+num_train_steps: 50000
+prediction_type: sample
+save_interval: 10000
+seed: 0
+self_attention: True
+text_latent_dim: 256
+time_dim: 512
+update_lr_steps: 5000
+vis_attn: False
+weight_decay: 0.01
+-------------- End ----------------

std.npy

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