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