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mvae_miko_finetuned_v5/args.yaml

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+"# tyro YAML.\n!dataclass:Args\ndata_args: !dataclass:DataArgs\n  body_type: smplx\n\
+  \  cfg_path: ./config_files/config_hydra/motion_primitive/mp_h2_f8_r8.yaml\n  data_dir:\
+  \ ./data/mixed_filtered_seq_data_zero_male\n  dataset: mp_seq_v2\n  enforce_gender:\
+  \ male\n  enforce_zero_beta: 1\n  feature_dim: 276\n  future_length: 8\n  history_length:\
+  \ 2\n  num_primitive: 8\n  prob_static: 0.0\n  text_tolerance: 0.0\n  weight_scheme:\
+  \ text_samp:0.\ndevice: cuda\nexp_name: mvae_miko_finetuned_v5\nmodel_args: !dataclass:VAEArgs\n\
+  \  activation: gelu\n  arch: all_encoder\n  dropout: 0.1\n  ff_size: 1024\n  h_dim:\
+  \ 256\n  latent_dim: !!python/tuple\n  - 1\n  - 256\n  nfeats: 276\n  normalize_before:\
+  \ false\n  num_heads: 4\n  num_layers: 7\n  position_embedding: learned\nsave_dir:\
+  \ !!python/object/apply:pathlib.PosixPath\n- mvae\n- mvae_miko_finetuned_v5\nseed:\
+  \ 0\ntorch_deterministic: true\ntrack: 1\ntrain_args: !dataclass:TrainArgs\n  anneal_lr:\
+  \ 1\n  batch_size: 128\n  ema_decay: 0.999\n  grad_clip: 1.0\n  learning_rate: 0.0001\n\
+  \  log_interval: 1000\n  resume_checkpoint: ./mvae/mvae_fps_clip/checkpoint_200000.pt\n\
+  \  save_interval: 5000\n  stage1_steps: 110000\n  stage2_steps: 70000\n  stage3_steps:\
+  \ 70000\n  use_amp: 0\n  use_predicted_joints: 0\n  val_interval: 10000\n  weight_feature_rec:\
+  \ 0.0\n  weight_joints_consistency: 10.0\n  weight_joints_delta: 100.0\n  weight_kl:\
+  \ 5.0e-07\n  weight_latent_rec: 1.0\n  weight_orient_delta: 100.0\n  weight_rec:\
+  \ 1.0\n  weight_smpl_joints_rec: 10.0\n  weight_transl_delta: 100.0\nwandb_entity:\
+  \ interaction\nwandb_project_name: mld_vae\n"

mvae_miko_finetuned_v5/args_read.yaml

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+data_args:
+  body_type: smplx
+  cfg_path: ./config_files/config_hydra/motion_primitive/mp_h2_f8_r8.yaml
+  data_dir: ./data/mixed_filtered_seq_data_zero_male
+  dataset: mp_seq_v2
+  enforce_gender: male
+  enforce_zero_beta: 1
+  feature_dim: 276
+  future_length: 8
+  history_length: 2
+  num_primitive: 8
+  prob_static: 0.0
+  text_tolerance: 0.0
+  weight_scheme: text_samp:0.
+device: cuda
+exp_name: mvae_miko_finetuned_v5
+model_args:
+  activation: gelu
+  arch: all_encoder
+  dropout: 0.1
+  ff_size: 1024
+  h_dim: 256
+  latent_dim: !!python/tuple
+  - 1
+  - 256
+  nfeats: 276
+  normalize_before: false
+  num_heads: 4
+  num_layers: 7
+  position_embedding: learned
+save_dir: !!python/object/apply:pathlib.PosixPath
+- mvae
+- mvae_miko_finetuned_v5
+seed: 0
+torch_deterministic: true
+track: 1
+train_args:
+  anneal_lr: 1
+  batch_size: 128
+  ema_decay: 0.999
+  grad_clip: 1.0
+  learning_rate: 0.0001
+  log_interval: 1000
+  resume_checkpoint: ./mvae/mvae_fps_clip/checkpoint_200000.pt
+  save_interval: 5000
+  stage1_steps: 110000
+  stage2_steps: 70000
+  stage3_steps: 70000
+  use_amp: 0
+  use_predicted_joints: 0
+  val_interval: 10000
+  weight_feature_rec: 0.0
+  weight_joints_consistency: 10.0
+  weight_joints_delta: 100.0
+  weight_kl: 5.0e-07
+  weight_latent_rec: 1.0
+  weight_orient_delta: 100.0
+  weight_rec: 1.0
+  weight_smpl_joints_rec: 10.0
+  weight_transl_delta: 100.0
+wandb_entity: interaction
+wandb_project_name: mld_vae

mvae_miko_finetuned_v5/checkpoint_205000.pt

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mvae_miko_finetuned_v5/checkpoint_210000.pt

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mvae_miko_finetuned_v5/checkpoint_215000.pt

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mvae_miko_finetuned_v5/checkpoint_220000.pt

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mvae_miko_finetuned_v5/checkpoint_225000.pt

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mvae_miko_finetuned_v5/checkpoint_230000.pt

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