config.yaml

model:
  motion_dim: 169
  motion_output_dim: 128
  text_dim: 11195
  embed_dim: 300
  text_output_dim: 4
  hidden_size: 512
  num_classes: 2
  UNetDecoder_depth: 4
  dropout_rate: 0.5
  period: 32
  max_seq_len: 128

training:
  lr: 1e-5
  num_epochs: 1
  batch_size: 1

val:
  batch_size: 1

test:
  batch_size: 1

dataset:
  stride: 30
  pose_length: 128
  pose_fps: 30
  data_path: "D:\\MingYuan\\Dataset\\beat_v2.0.0\\beat_english_v2.0.0"
  smplx_model_path: "D:\\MingYuan\\smplx_v1.1\\models"
  preloaded_dir: "D:\\MingYuan\\A2M\\code\\classifier\\datasets_cache_frame_2scott"
  training_speakers: [2]
  #
  pose_rep: "smplxflame_30"
  ori_joints: "beat_smplx_joints"
  tar_joints: "beat_smplx_full"
  sem_rep: "sem"
  word_rep: "textgrid"
  clean_first_seconds: 0
  clean_final_seconds: 0
  t_pre_encoder: "fasttext"
  word_cache: False
  threshold: 0.5
  additional_data: False
  loader_type: "train"
  new_cache: True
  disable_filtering: False
  multi_length_training: [1.0]

wandb:
  project: "MTClassifier-frame_CA_M2T_motion128text4_period32—rendertest"
  entity: "mingyuanchen99-hong-kong-baptist-university"
  api_key: "2775a70d81665e5051866588c6c179ed89d2ddd0"

label_smoothing: 0.1