|
model_params: |
|
model_name: "Transformer" |
|
past_values: |
|
- "Target_Y" |
|
past_observed_mask: |
|
- "Target_Y" |
|
future_observed_mask: |
|
- "Target_Y" |
|
future_values: |
|
- "Target_Y" |
|
time_index: |
|
- "Time_Index" |
|
past_time_features: |
|
- Feature_1 |
|
- Feature_2 |
|
- Feature_3 |
|
- Feature_4 |
|
- Feature_5 |
|
- Feature_6 |
|
- Feature_7 |
|
- Feature_8 |
|
- Feature_9 |
|
- Feature_10 |
|
- Feature_11 |
|
- Feature_12 |
|
- Feature_13 |
|
- Feature_14 |
|
- Feature_15 |
|
- Feature_16 |
|
- Feature_17 |
|
- Feature_18 |
|
- Feature_19 |
|
- Feature_20 |
|
- Feature_21 |
|
- Feature_22 |
|
- Feature_23 |
|
- Feature_24 |
|
- Feature_25 |
|
- Feature_26 |
|
- Feature_27 |
|
- Feature_28 |
|
- Feature_29 |
|
- Feature_30 |
|
- Feature_31 |
|
- Feature_32 |
|
- Feature_33 |
|
- Feature_34 |
|
- Feature_35 |
|
- Feature_36 |
|
- Feature_37 |
|
- Feature_38 |
|
- Feature_39 |
|
- Feature_40 |
|
- Feature_41 |
|
- Feature_42 |
|
- Feature_43 |
|
- Feature_44 |
|
- Feature_45 |
|
- Feature_46 |
|
- Feature_47 |
|
- Feature_48 |
|
- Feature_49 |
|
- Feature_50 |
|
- Feature_51 |
|
- Feature_52 |
|
- Feature_53 |
|
- Feature_54 |
|
- Feature_55 |
|
- Feature_56 |
|
future_time_features: |
|
- Feature_1 |
|
- Feature_2 |
|
- Feature_3 |
|
- Feature_4 |
|
- Feature_5 |
|
- Feature_6 |
|
- Feature_7 |
|
- Feature_8 |
|
- Feature_9 |
|
- Feature_10 |
|
- Feature_11 |
|
- Feature_12 |
|
- Feature_13 |
|
- Feature_14 |
|
- Feature_15 |
|
- Feature_16 |
|
- Feature_17 |
|
- Feature_18 |
|
- Feature_19 |
|
- Feature_20 |
|
- Feature_21 |
|
- Feature_22 |
|
- Feature_23 |
|
- Feature_24 |
|
- Feature_25 |
|
- Feature_26 |
|
- Feature_27 |
|
- Feature_28 |
|
- Feature_29 |
|
- Feature_30 |
|
- Feature_31 |
|
- Feature_32 |
|
- Feature_33 |
|
- Feature_34 |
|
- Feature_35 |
|
- Feature_36 |
|
- Feature_37 |
|
- Feature_38 |
|
- Feature_39 |
|
- Feature_40 |
|
- Feature_41 |
|
- Feature_42 |
|
- Feature_43 |
|
- Feature_44 |
|
- Feature_45 |
|
- Feature_46 |
|
- Feature_47 |
|
- Feature_48 |
|
- Feature_49 |
|
- Feature_50 |
|
- Feature_51 |
|
- Feature_52 |
|
- Feature_53 |
|
- Feature_54 |
|
- Feature_55 |
|
- Feature_56 |
|
static_categorical_features: |
|
|
|
static_real_features: |
|
List_to_AddTimeFeatures: |
|
hour: true |
|
dayofweek: true |
|
day: true |
|
month: true |
|
quarter: true |
|
dayofmonth: true |
|
weekofyear: true |
|
is_holiday: false |
|
ConvertTimeFeature: |
|
ListTimeTransforme: |
|
- cos |
|
- sin |
|
- identity |
|
cardinality: 1000 |
|
embedding_dimension: |
|
- 256 |
|
encoder_layers: 8 |
|
decoder_layers: 8 |
|
d_model: 64 |
|
n_heads: 64 |
|
predict_length: 24 |
|
context_length: 168 |
|
stride : 1 |
|
distribution_output: "student_t" |
|
scaling: "mean" |
|
use_cache : false |
|
lags_sequence: |
|
- 0 |
|
rate_mask: 0.0 |
|
num_parallel_samples : 100 |
|
encoder_ffn_dim: 256 |
|
decoder_ffn_dim: 256 |
|
encoder_attention_heads: 128 |
|
decoder_attention_heads: 128 |
|
is_encoder_decoder: True |
|
activation_function: "grelu" |
|
dropout: 0.2 |
|
encoder_layerdrop: 0.2 |
|
decoder_layerdrop: 0.2 |
|
attention_dropout: 0.2 |
|
activation_dropout: 0.1 |
|
init_std: 0.02 |
|
|
|
optimizing_prams: |
|
learning_rate: 0.001 |
|
optimizer: "AdamW" |
|
beta_1: 0.9 |
|
beta_2: 0.95 |
|
weight_decay: 0.01 |
|
batch_size: 32 |
|
epoch_max: 200 |
|
precision: "64-true" |
|
gradient_clip_val: 0.8 |
|
|
|
experiment: |
|
name : "Transformer" |
|
log_model : "all" |
|
experiment : "0" |
|
monitor: 'val_loss' |
|
min_delta : 0.000007 |
|
patience_train : 200 |
|
verbose : True |
|
checkpoint: |
