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pjyazdian authored Feb 7, 2024
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150 changes: 75 additions & 75 deletions config/DAE.yml
Original file line number Diff line number Diff line change
@@ -1,75 +1,75 @@
name: Frame_Level

train_data_path: /local-scratch/pjomeyaz/GENEA_DATASET/trinityspeechgesture.scss.tcd.ie/data/GENEA_Challenge_2020_data_release/Training_data/lmdb/lmdb_train
sentence_level: True

#val_data_path: /mnt/work2/Trinity_Gesture_DB/lmdb/lmdb_test
val_data_path: /local-scratch/pjomeyaz/GENEA_DATASET/trinityspeechgesture.scss.tcd.ie/data/GENEA_Challenge_2020_data_release/Training_data/lmdb//lmdb_test

wordembed_dim: 300
wordembed_path: ../resource/crawl-300d-2M-subword.bin # fasttext

model_save_path: ../output/2023/pose2vec_1_Vanilla
random_seed: 0

# model params
model: DAE_complex
hidden_size: 200
n_layers: 2
dropout_prob: 0.2

input_motion_dim: 135
data_mean: [0.99414, 0.05276, -0.01830, -0.05399, 0.98730, -0.07916, 0.01263, 0.07880, 0.99316, 1.00000, 0.01767, 0.00634, -0.01717, 0.99854, -0.07086, -0.00766, 0.07074, 0.99854, 0.99951, 0.01764, -0.00896, -0.01765, 1.00000, 0.00019, 0.00896, -0.00005, 0.99951, 1.00000, -0.00739, -0.01461, 0.00706, 1.00000, -0.01138, 0.01510, 0.01107, 1.00000, 0.99805, 0.00925, 0.00102, -0.00964, 0.98096, -0.17590, -0.00240, 0.17456, 0.97949, 0.98926, 0.00434, -0.03925, -0.00249, 0.99951, 0.02534, 0.03946, -0.02550, 0.98828, 1.00000, 0.00189, -0.00242, -0.00105, 0.95752, 0.27734, 0.00261, -0.27759, 0.95801, 0.95410, -0.02214, -0.23987, 0.02150, 0.98584, 0.00000, 0.23657, 0.00037, 0.96777, 0.36108, -0.81299, 0.27588, 0.80957, 0.37817, 0.16406, -0.24243, 0.15540, 0.83447, 0.05392, -0.22961, 0.67334, 0.00002, 0.81055, 0.23083, -0.84521, 0.07886, 0.07214, 0.92676, -0.23047, -0.09564, 0.22668, 0.93848, -0.03152, 0.10413, 0.00001, 0.98828, 0.96338, -0.00713, 0.21875, 0.00795, 0.99023, -0.00000, -0.21655, 0.00461, 0.97363, 0.30835, 0.78467, -0.42993, -0.84326, 0.37915, 0.11230, 0.26318, 0.34448, 0.80078, 0.09741, 0.21948, -0.67285, -0.00000, 0.80664, 0.21936, 0.85010, 0.04178, 0.10510, 0.93457, 0.19019, -0.00217, -0.18896, 0.94238, -0.00727, 0.00069, 0.00001, 0.99219]
data_std: [0.08801, 0.03111, 0.01127, 0.03111, 0.08801, 0.03806, 0.01147, 0.03815, 0.08801, 0.08801, 0.00571, 0.00195, 0.00560, 0.08801, 0.01682, 0.00254, 0.01680, 0.08801, 0.08801, 0.00809, 0.01999, 0.00826, 0.08801, 0.00847, 0.02000, 0.00852, 0.08801, 0.08801, 0.01180, 0.00590, 0.01175, 0.08801, 0.00827, 0.00601, 0.00827, 0.08801, 0.08801, 0.01738, 0.02643, 0.01482, 0.08801, 0.04764, 0.02838, 0.04758, 0.08801, 0.08801, 0.01122, 0.06299, 0.01103, 0.08801, 0.01845, 0.06305, 0.01826, 0.08801, 0.08801, 0.01365, 0.00780, 0.01556, 0.08801, 0.04874, 0.00441, 0.04880, 0.08801, 0.08801, 0.04425, 0.04453, 0.04507, 0.08801, 0.00000, 0.04440, 0.01525, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08813, 0.08801, 0.08801, 0.08844, 0.08801, 0.00055, 0.08801, 0.08923, 0.08801, 0.08533, 0.08801, 0.08801, 0.08508, 0.04401, 0.07373, 0.08801, 0.02698, 0.04498, 0.00000, 0.08801, 0.08801, 0.03989, 0.04425, 0.04178, 0.08801, 0.00000, 0.04410, 0.01121, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08807, 0.08801, 0.00042, 0.08801, 0.09247, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.04617, 0.08801, 0.08801, 0.02463, 0.04758, 0.00024, 0.08801]


#Autoencoder parameters:
autoencoder_denoising: True
autoencoder_att: False
autoencoder_fixed_weight: True
autoencoder_conditioned: False
autoencoder_vae: False
autoencoder_vq: False
autoencoder_vq_components: 80
autoencoder_vq_commitment_cost: 0.25
use_derivative: False
#autoenoder_train_decoder: True
autoencoder_freeze_encoder: False


#Text 2 Gesture
text2_embedding_discrete: True

use_similarity: False
similarity_labels: data_loader/gesture_labels.txt
data_for_sim: ../output/clustering_results/org_latent_clustering_data.bin
loss_label_weight: 5.5


# train params
epochs: 20
batch_size: 128
learning_rate: 0.0005
loss_l1_weight: 5
loss_cont_weight: 0.1
loss_var_weight: 0.5

# dataset params
motion_resampling_framerate: 20
n_poses: 30
n_pre_poses: 1
subdivision_stride: 5
subdivision_stride_sentence: 20
sentence_frame_length: 120
loader_workers: 4

#reoresentation learning
rep_learning_checkpoint: ../output/DAE_old/train_DAE_H41/rep_learning_DAE_H41_checkpoint_020.bin
rep_learning_dim: 41
autoencoder_checkpoint: ../output/autoencoder/toturial/4th/VQ-DVAE_ablation1_checkpoint_015.bin
#GAN
noise_dim: 400

Modality_Audio: False
Modality_Text: False
Modality_Gesture: True
name: Frame_Level

train_data_path: ../../data/Training_data/lmdb/lmdb_train
sentence_level: True


val_data_path: ../../data/Training_data/lmdb//lmdb_test

wordembed_dim: 300
wordembed_path: ../resource/crawl-300d-2M-subword.bin # fasttext

model_save_path: ../output/2024/pose2vec_1_Vanilla
random_seed: 0

# model params
model: DAE_complex
hidden_size: 40
n_layers: 2
dropout_prob: 0.2

input_motion_dim: 135
data_mean: [0.99414, 0.05276, -0.01830, -0.05399, 0.98730, -0.07916, 0.01263, 0.07880, 0.99316, 1.00000, 0.01767, 0.00634, -0.01717, 0.99854, -0.07086, -0.00766, 0.07074, 0.99854, 0.99951, 0.01764, -0.00896, -0.01765, 1.00000, 0.00019, 0.00896, -0.00005, 0.99951, 1.00000, -0.00739, -0.01461, 0.00706, 1.00000, -0.01138, 0.01510, 0.01107, 1.00000, 0.99805, 0.00925, 0.00102, -0.00964, 0.98096, -0.17590, -0.00240, 0.17456, 0.97949, 0.98926, 0.00434, -0.03925, -0.00249, 0.99951, 0.02534, 0.03946, -0.02550, 0.98828, 1.00000, 0.00189, -0.00242, -0.00105, 0.95752, 0.27734, 0.00261, -0.27759, 0.95801, 0.95410, -0.02214, -0.23987, 0.02150, 0.98584, 0.00000, 0.23657, 0.00037, 0.96777, 0.36108, -0.81299, 0.27588, 0.80957, 0.37817, 0.16406, -0.24243, 0.15540, 0.83447, 0.05392, -0.22961, 0.67334, 0.00002, 0.81055, 0.23083, -0.84521, 0.07886, 0.07214, 0.92676, -0.23047, -0.09564, 0.22668, 0.93848, -0.03152, 0.10413, 0.00001, 0.98828, 0.96338, -0.00713, 0.21875, 0.00795, 0.99023, -0.00000, -0.21655, 0.00461, 0.97363, 0.30835, 0.78467, -0.42993, -0.84326, 0.37915, 0.11230, 0.26318, 0.34448, 0.80078, 0.09741, 0.21948, -0.67285, -0.00000, 0.80664, 0.21936, 0.85010, 0.04178, 0.10510, 0.93457, 0.19019, -0.00217, -0.18896, 0.94238, -0.00727, 0.00069, 0.00001, 0.99219]
data_std: [0.08801, 0.03111, 0.01127, 0.03111, 0.08801, 0.03806, 0.01147, 0.03815, 0.08801, 0.08801, 0.00571, 0.00195, 0.00560, 0.08801, 0.01682, 0.00254, 0.01680, 0.08801, 0.08801, 0.00809, 0.01999, 0.00826, 0.08801, 0.00847, 0.02000, 0.00852, 0.08801, 0.08801, 0.01180, 0.00590, 0.01175, 0.08801, 0.00827, 0.00601, 0.00827, 0.08801, 0.08801, 0.01738, 0.02643, 0.01482, 0.08801, 0.04764, 0.02838, 0.04758, 0.08801, 0.08801, 0.01122, 0.06299, 0.01103, 0.08801, 0.01845, 0.06305, 0.01826, 0.08801, 0.08801, 0.01365, 0.00780, 0.01556, 0.08801, 0.04874, 0.00441, 0.04880, 0.08801, 0.08801, 0.04425, 0.04453, 0.04507, 0.08801, 0.00000, 0.04440, 0.01525, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08813, 0.08801, 0.08801, 0.08844, 0.08801, 0.00055, 0.08801, 0.08923, 0.08801, 0.08533, 0.08801, 0.08801, 0.08508, 0.04401, 0.07373, 0.08801, 0.02698, 0.04498, 0.00000, 0.08801, 0.08801, 0.03989, 0.04425, 0.04178, 0.08801, 0.00000, 0.04410, 0.01121, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.08807, 0.08801, 0.00042, 0.08801, 0.09247, 0.08801, 0.08801, 0.08801, 0.08801, 0.08801, 0.04617, 0.08801, 0.08801, 0.02463, 0.04758, 0.00024, 0.08801]


#Autoencoder parameters:
autoencoder_denoising: True
autoencoder_att: False
autoencoder_fixed_weight: True
autoencoder_conditioned: False
autoencoder_vae: False
autoencoder_vq: False
autoencoder_vq_components: 80
autoencoder_vq_commitment_cost: 0.25
use_derivative: False
#autoenoder_train_decoder: True
autoencoder_freeze_encoder: False


#Text 2 Gesture
text2_embedding_discrete: True

use_similarity: False
similarity_labels: data_loader/gesture_labels.txt
data_for_sim: ../output/clustering_results/org_latent_clustering_data.bin
loss_label_weight: 5.5


# train params
epochs: 20
batch_size: 128
learning_rate: 0.0005
loss_l1_weight: 5
loss_cont_weight: 0.1
loss_var_weight: 0.5

# dataset params
motion_resampling_framerate: 20
n_poses: 20
n_pre_poses: 1
subdivision_stride: 5
subdivision_stride_sentence: 20
sentence_frame_length: 120
loader_workers: 4

#reoresentation learning
rep_learning_checkpoint: None
rep_learning_dim: 0
autoencoder_checkpoint: None
#GAN
noise_dim: 400

Modality_Audio: False
Modality_Text: False
Modality_Gesture: True
144 changes: 72 additions & 72 deletions config/DAE_GENEA.yml
Original file line number Diff line number Diff line change
@@ -1,72 +1,72 @@
name: DAE

train_data_path: /local-scratch/pjomeyaz/rosie_gesture_benchmark/cloned/Clustering/must/GENEA/Co-Speech_Gesture_Generation/dataset/dataset_v1/trn/lmdb/lmdb_train
sentence_level: True

#val_data_path: /mnt/work2/Trinity_Gesture_DB/lmdb/lmdb_test
val_data_path: /local-scratch/pjomeyaz/rosie_gesture_benchmark/cloned/Clustering/must/GENEA/Co-Speech_Gesture_Generation/dataset/dataset_v1/trn/lmdb/lmdb_test

wordembed_dim: 300
wordembed_path: ../resource/crawl-300d-2M-subword.bin # fasttext

model_save_path: ../output/GENEA/DAE
random_seed: 0

input_motion_dim: 135
data_mean: [1.00000, -0.00034, -0.00062, 0.00035, 1.00000, 0.00030, 0.00062, -0.00031, 1.00000, 0.99998, 0.00419, 0.00081, -0.00418, 0.99998, -0.00062, -0.00083, 0.00061, 0.99999, 0.99991, 0.00472, 0.00917, -0.00475, 1.00000, 0.00325, -0.00916, -0.00333, 0.99999, 0.99997, -0.00763, -0.00009, 0.00763, 0.99997, 0.00002, 0.00009, -0.00003, 1.00000, 0.99962, -0.01398, -0.01889, 0.01383, 1.00000, -0.00656, 0.01898, 0.00630, 0.99982, 1.00000, 0.00037, 0.00049, -0.00037, 1.00000, -0.00057, -0.00049, 0.00057, 1.00000, 1.00000, -0.00301, 0.00043, 0.00301, 1.00000, -0.00056, -0.00043, 0.00057, 0.99999, 0.99989, 0.01280, -0.00062, -0.01276, 0.99989, 0.00084, 0.00063, -0.00084, 0.99997, 0.99988, 0.00165, -0.01069, -0.00165, 1.00000, -0.00064, 0.01069, 0.00068, 0.99988, 0.99998, -0.00350, -0.00003, 0.00350, 0.99998, 0.00001, 0.00003, -0.00001, 1.00000, 0.99955, -0.01916, 0.01381, 0.01899, 0.99965, 0.00691, -0.01391, -0.00668, 0.99984, 1.00000, 0.00124, -0.00088, -0.00123, 1.00000, 0.00148, 0.00088, -0.00147, 1.00000, 1.00000, 0.00017, 0.00002, -0.00017, 1.00000, 0.00017, -0.00002, -0.00017, 1.00000, 1.00000, -0.00079, 0.00032, 0.00078, 1.00000, 0.00019, -0.00032, -0.00018, 1.00000, 1.00000, 0.00003, 0.00005, -0.00003, 1.00000, -0.00006, -0.00005, 0.00006, 1.00000, 1.00000, 0.00061, 0.00007, -0.00061, 1.00000, -0.00020, -0.00007, 0.00020, 1.00000, 1.00000, -0.00245, 0.00005, 0.00245, 1.00000, -0.00005, -0.00005, 0.00005, 1.00000, 1.00000, -0.00062, 0.00006, 0.00062, 1.00000, 0.00000, -0.00006, -0.00000, 1.00000]
data_std: [0.00004, 0.00181, 0.00640, 0.00184, 0.00000, 0.00338, 0.00639, 0.00340, 0.00005, 0.00011, 0.00982, 0.00313, 0.00980, 0.00011, 0.00347, 0.00318, 0.00342, 0.00008, 0.00019, 0.00592, 0.00635, 0.00594, 0.00000, 0.00162, 0.00634, 0.00160, 0.00006, 0.00011, 0.00817, 0.00093, 0.00817, 0.00011, 0.00095, 0.00094, 0.00093, 0.00002, 0.00020, 0.00222, 0.00488, 0.00232, 0.00002, 0.00488, 0.00493, 0.00485, 0.00024, 0.00000, 0.00104, 0.00184, 0.00104, 0.00000, 0.00163, 0.00185, 0.00163, 0.00000, 0.00004, 0.00127, 0.00646, 0.00128, 0.00000, 0.00270, 0.00646, 0.00270, 0.00006, 0.00022, 0.00987, 0.00607, 0.00986, 0.00022, 0.00639, 0.00617, 0.00629, 0.00017, 0.00021, 0.00240, 0.01065, 0.00239, 0.00000, 0.00094, 0.01065, 0.00089, 0.00021, 0.00009, 0.00852, 0.00051, 0.00852, 0.00009, 0.00054, 0.00052, 0.00053, 0.00001, 0.00015, 0.00474, 0.00900, 0.00495, 0.00022, 0.00898, 0.00910, 0.00890, 0.00028, 0.00000, 0.00131, 0.00257, 0.00130, 0.00000, 0.00214, 0.00257, 0.00213, 0.00000, 0.00000, 0.00322, 0.00078, 0.00322, 0.00000, 0.00322, 0.00079, 0.00322, 0.00000, 0.00000, 0.00320, 0.00243, 0.00319, 0.00000, 0.00155, 0.00243, 0.00154, 0.00000, 0.00000, 0.00003, 0.00077, 0.00003, 0.00000, 0.00027, 0.00077, 0.00027, 0.00000, 0.00000, 0.00051, 0.00125, 0.00051, 0.00000, 0.00107, 0.00125, 0.00107, 0.00000, 0.00000, 0.00173, 0.00080, 0.00173, 0.00000, 0.00038, 0.00080, 0.00038, 0.00000, 0.00000, 0.00043, 0.00076, 0.00043, 0.00000, 0.00010, 0.00076, 0.00010, 0.00000]


# model params
model: seq2seq
hidden_size: 200
n_layers: 2
dropout_prob: 0.0

#Atuoencoder parameters:
autoencoder_denoising: True
autoencoder_att: False
autoencoder_fixed_weight: True
autoencoder_conditioned: False
autoencoder_vae: False
autoencoder_vq: False
autoencoder_vq_components: 100
autoencoder_vq_commitment_cost: 0.25
use_derivative: False
#autoenoder_train_decoder: True
autoencoder_freeze_encoder: False


#Text 2 Gesture
text2_embedding_discrete: True

use_similarity: False
similarity_labels: data_loader/gesture_labels.txt
data_for_sim: ../output/clustering_results/org_latent_clustering_data.bin
loss_label_weight: 5.5


# train params
epochs: 30
batch_size: 1024
learning_rate: 0.00001
loss_l1_weight: 5
loss_cont_weight: 0.1
loss_var_weight: 0.5

# dataset params
motion_resampling_framerate: 10
n_poses: 30
n_pre_poses: 1
subdivision_stride: 5
subdivision_stride_sentence: 20
sentence_frame_length: 120
loader_workers: 4

#reoresentation learning
rep_learning_checkpoint: ../output/DAE_old/train_DAE_H41/rep_learning_DAE_H41_checkpoint_020.binXYZ
rep_learning_dim: 41
autoencoder_checkpoint: ../output/autoencoder/toturial/4th/VQ-DVAE_ablation1_checkpoint_015.binXYZ
#GAN
noise_dim: 400

name: DAE

train_data_path: /local-scratch/pjomeyaz/rosie_gesture_benchmark/cloned/Clustering/must/GENEA/Co-Speech_Gesture_Generation/dataset/dataset_v1/trn/lmdb/lmdb_train
sentence_level: True

#val_data_path: /mnt/work2/Trinity_Gesture_DB/lmdb/lmdb_test
val_data_path: /local-scratch/pjomeyaz/rosie_gesture_benchmark/cloned/Clustering/must/GENEA/Co-Speech_Gesture_Generation/dataset/dataset_v1/trn/lmdb/lmdb_test

wordembed_dim: 300
wordembed_path: ../resource/crawl-300d-2M-subword.bin # fasttext

model_save_path: ../output/GENEA/DAE
random_seed: 0

input_motion_dim: 135
data_mean: [1.00000, -0.00034, -0.00062, 0.00035, 1.00000, 0.00030, 0.00062, -0.00031, 1.00000, 0.99998, 0.00419, 0.00081, -0.00418, 0.99998, -0.00062, -0.00083, 0.00061, 0.99999, 0.99991, 0.00472, 0.00917, -0.00475, 1.00000, 0.00325, -0.00916, -0.00333, 0.99999, 0.99997, -0.00763, -0.00009, 0.00763, 0.99997, 0.00002, 0.00009, -0.00003, 1.00000, 0.99962, -0.01398, -0.01889, 0.01383, 1.00000, -0.00656, 0.01898, 0.00630, 0.99982, 1.00000, 0.00037, 0.00049, -0.00037, 1.00000, -0.00057, -0.00049, 0.00057, 1.00000, 1.00000, -0.00301, 0.00043, 0.00301, 1.00000, -0.00056, -0.00043, 0.00057, 0.99999, 0.99989, 0.01280, -0.00062, -0.01276, 0.99989, 0.00084, 0.00063, -0.00084, 0.99997, 0.99988, 0.00165, -0.01069, -0.00165, 1.00000, -0.00064, 0.01069, 0.00068, 0.99988, 0.99998, -0.00350, -0.00003, 0.00350, 0.99998, 0.00001, 0.00003, -0.00001, 1.00000, 0.99955, -0.01916, 0.01381, 0.01899, 0.99965, 0.00691, -0.01391, -0.00668, 0.99984, 1.00000, 0.00124, -0.00088, -0.00123, 1.00000, 0.00148, 0.00088, -0.00147, 1.00000, 1.00000, 0.00017, 0.00002, -0.00017, 1.00000, 0.00017, -0.00002, -0.00017, 1.00000, 1.00000, -0.00079, 0.00032, 0.00078, 1.00000, 0.00019, -0.00032, -0.00018, 1.00000, 1.00000, 0.00003, 0.00005, -0.00003, 1.00000, -0.00006, -0.00005, 0.00006, 1.00000, 1.00000, 0.00061, 0.00007, -0.00061, 1.00000, -0.00020, -0.00007, 0.00020, 1.00000, 1.00000, -0.00245, 0.00005, 0.00245, 1.00000, -0.00005, -0.00005, 0.00005, 1.00000, 1.00000, -0.00062, 0.00006, 0.00062, 1.00000, 0.00000, -0.00006, -0.00000, 1.00000]
data_std: [0.00004, 0.00181, 0.00640, 0.00184, 0.00000, 0.00338, 0.00639, 0.00340, 0.00005, 0.00011, 0.00982, 0.00313, 0.00980, 0.00011, 0.00347, 0.00318, 0.00342, 0.00008, 0.00019, 0.00592, 0.00635, 0.00594, 0.00000, 0.00162, 0.00634, 0.00160, 0.00006, 0.00011, 0.00817, 0.00093, 0.00817, 0.00011, 0.00095, 0.00094, 0.00093, 0.00002, 0.00020, 0.00222, 0.00488, 0.00232, 0.00002, 0.00488, 0.00493, 0.00485, 0.00024, 0.00000, 0.00104, 0.00184, 0.00104, 0.00000, 0.00163, 0.00185, 0.00163, 0.00000, 0.00004, 0.00127, 0.00646, 0.00128, 0.00000, 0.00270, 0.00646, 0.00270, 0.00006, 0.00022, 0.00987, 0.00607, 0.00986, 0.00022, 0.00639, 0.00617, 0.00629, 0.00017, 0.00021, 0.00240, 0.01065, 0.00239, 0.00000, 0.00094, 0.01065, 0.00089, 0.00021, 0.00009, 0.00852, 0.00051, 0.00852, 0.00009, 0.00054, 0.00052, 0.00053, 0.00001, 0.00015, 0.00474, 0.00900, 0.00495, 0.00022, 0.00898, 0.00910, 0.00890, 0.00028, 0.00000, 0.00131, 0.00257, 0.00130, 0.00000, 0.00214, 0.00257, 0.00213, 0.00000, 0.00000, 0.00322, 0.00078, 0.00322, 0.00000, 0.00322, 0.00079, 0.00322, 0.00000, 0.00000, 0.00320, 0.00243, 0.00319, 0.00000, 0.00155, 0.00243, 0.00154, 0.00000, 0.00000, 0.00003, 0.00077, 0.00003, 0.00000, 0.00027, 0.00077, 0.00027, 0.00000, 0.00000, 0.00051, 0.00125, 0.00051, 0.00000, 0.00107, 0.00125, 0.00107, 0.00000, 0.00000, 0.00173, 0.00080, 0.00173, 0.00000, 0.00038, 0.00080, 0.00038, 0.00000, 0.00000, 0.00043, 0.00076, 0.00043, 0.00000, 0.00010, 0.00076, 0.00010, 0.00000]


# model params
model: seq2seq
hidden_size: 200
n_layers: 2
dropout_prob: 0.0

#Atuoencoder parameters:
autoencoder_denoising: True
autoencoder_att: False
autoencoder_fixed_weight: True
autoencoder_conditioned: False
autoencoder_vae: False
autoencoder_vq: False
autoencoder_vq_components: 100
autoencoder_vq_commitment_cost: 0.25
use_derivative: False
#autoenoder_train_decoder: True
autoencoder_freeze_encoder: False


#Text 2 Gesture
text2_embedding_discrete: True

use_similarity: False
similarity_labels: data_loader/gesture_labels.txt
data_for_sim: ../output/clustering_results/org_latent_clustering_data.bin
loss_label_weight: 5.5


# train params
epochs: 30
batch_size: 1024
learning_rate: 0.00001
loss_l1_weight: 5
loss_cont_weight: 0.1
loss_var_weight: 0.5

# dataset params
motion_resampling_framerate: 10
n_poses: 30
n_pre_poses: 1
subdivision_stride: 5
subdivision_stride_sentence: 20
sentence_frame_length: 120
loader_workers: 4

#reoresentation learning
rep_learning_checkpoint: ../output/DAE_old/train_DAE_H41/rep_learning_DAE_H41_checkpoint_020.binXYZ
rep_learning_dim: 41
autoencoder_checkpoint: ../output/autoencoder/toturial/4th/VQ-DVAE_ablation1_checkpoint_015.binXYZ
#GAN
noise_dim: 400

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