Upload folder using huggingface_hub

mvae_miko_finetuned_v4/args.yaml

@@ -1,7 +1,7 @@
 "# 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_seq_zero_male\n  dataset: mp_seq_v2\n  enforce_gender: male\n  enforce_zero_beta:\
-  \ 1\n  feature_dim: 276\n  future_length: 16\n  history_length: 6\n  num_primitive:\
+  \ 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.\n\
   device: cuda\nexp_name: mvae_miko_finetuned_v4\nmodel_args: !dataclass:VAEArgs\n\
   \  activation: gelu\n  arch: all_encoder\n  dropout: 0.1\n  ff_size: 1024\n  h_dim:\
@@ -11,9 +11,9 @@
   \ 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: 10000\n  stage1_steps: 105000\n  stage2_steps: 55000\n  stage3_steps:\
+  \  save_interval: 5000\n  stage1_steps: 105000\n  stage2_steps: 55000\n  stage3_steps:\
   \ 55000\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:\
-  \ 1.0e-06\n  weight_latent_rec: 1.0\n  weight_orient_delta: 100.0\n  weight_rec:\
+  \ 0.0\n  weight_joints_consistency: 8.0\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_v4/args_read.yaml

@@ -6,8 +6,8 @@ data_args:
   enforce_gender: male
   enforce_zero_beta: 1
   feature_dim: 276
-  future_length: 16
-  history_length: 6
+  future_length: 8
+  history_length: 2
   num_primitive: 8
   prob_static: 0.0
   text_tolerance: 0.0
@@ -42,7 +42,7 @@ train_args:
   learning_rate: 0.0001
   log_interval: 1000
   resume_checkpoint: ./mvae/mvae_fps_clip/checkpoint_200000.pt
-  save_interval: 10000
+  save_interval: 5000
   stage1_steps: 105000
   stage2_steps: 55000
   stage3_steps: 55000
@@ -50,9 +50,9 @@ train_args:
   use_predicted_joints: 0
   val_interval: 10000
   weight_feature_rec: 0.0
-  weight_joints_consistency: 10.0
+  weight_joints_consistency: 8.0
   weight_joints_delta: 100.0
-  weight_kl: 1.0e-06
+  weight_kl: 5.0e-07
   weight_latent_rec: 1.0
   weight_orient_delta: 100.0
   weight_rec: 1.0

mvae_miko_finetuned_v4/checkpoint_205000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3fa85f4945e43111281f6067ce6fe2d0682166e3e6297f874a86da6a71a984b
+size 49577410

mvae_miko_finetuned_v4/checkpoint_210000.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a7d343969986c581232608ed6b8672c5bff157fb6b0f1caf2645ad1daa10884a
+oid sha256:7d2ddb28119e298cab63a198f7421c5c8bdc5a304bbe97267c0fe6ea9f00730d
 size 49577410