GritLs's picture
Add files using upload-large-folder tool
b30c45e verified
name: synth-u_diffusets
description: ''
seed: 2
device: cuda:0
train:
stages:
- name: vae_pretrain
epochs: 200
lr: 0.001
use_condition: false
freeze_modules: []
early_stopping_patience: 50
- name: finetune
epochs: 500
lr: 0.001
use_condition: true
freeze_modules: []
load_from_stage: vae_pretrain
early_stopping_patience: 50
epochs: 700
batch_size: 256
lr: 0.001
weight_decay: 0.0001
scheduler: cosine
scheduler_params: {}
early_stopping_patience: 50
gradient_clip_val: 1.0
accumulate_grad_batches: 1
val_check_interval: 1.0
num_workers: 4
pin_memory: true
limit_train_batches: 1.0
limit_val_batches: 1.0
limit_test_batches: 1.0
num_sanity_val_steps: 2
log_grad_norm: true
log_param_norm: true
log_norm_every_n_steps: 50
data:
name: synth-u
data_folder: __DATA_ROOT__/datasets/synth-u
n_var: 1
seq_length: 128
normalize: false
train_split: 0.8
val_split: 0.1
model:
name: diffusets
channels: 64
layers: 3
nheads: 8
dropout: 0.1
latent_channels: 4
diffusion_steps: 50
noise_schedule: quad
beta_start: 0.0001
beta_end: 0.5
kernel_size: 3
num_levels: 5
kld_weight: 1.0
kld_annealing: true
kld_annealing_type: linear
kld_warmup_epochs: 300
kld_start_weight: 0.01
condition:
text:
enabled: true
input_dim: 1024
embedding_key: cap_emb
dropout: 0.0
cfg_scale: 1.0
attribute:
enabled: false
continuous_dim: 0
discrete_configs: []
output_dim: 128
dropout: 0.0
label:
enabled: false
num_classes: 10
output_dim: 64
fusion: concat
condition_dropout: 0.0
eval:
n_samples: 10
metrics:
- dtw
- wape
- ed
- crps
- acd
- sd
- kd
- mdd
- fid
- sfd
- jftsd
- prdc_f1
- joint_prdc_f1
- cttp
- disc_auc
batch_size: 128
save_samples: true
sampler: ddim
display_interval: 10
clip_config_path: __RELEASE_ROOT__/resources/cttp/synth-u/model_configs.yaml
clip_model_path: __RELEASE_ROOT__/resources/cttp/synth-u/clip_model_best.pth
cache_folder: __CACHE_ROOT__/diffusets/synth-u/seed2
use_longalign: false
reference_split: train
disc_auc:
k_folds: 5
epochs: 5
batch_size: 128
lr: 0.001
weight_decay: 0.0001
hidden_channels: 128
num_layers: 3
dropout: 0.1
seed: 42
num_workers: 0
prdc:
k: 5
max_samples: 5000
seed: 0
metric: euclidean
backend: auto
knn_chunk_size: 4096
joint_enable: true
joint_weights:
ts: 1.0
text: 1.0
joint_normalize: standard
segment_classifier:
enable: false
segment_len: 128
n_segments: 3
seed: 42
acd_max_lag: 50
mdd_bins: 32
use_cache: false
cache_file: predictions_cache.pkl
viz:
enable: true
k_cases: 20
max_vars: 8
ncols: 5
seed: 42
dpi: 200
alpha: 0.25
figsize_per_subplot:
- 3.0
- 2.0
output_type: pdf
output_dir: ''
created_at: '2025-12-28T16:59:44.641212'