Spaces:
Sleeping
Sleeping
File size: 1,154 Bytes
8cc5633 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
# config.py
import os
# Base Directory
BASE_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
# Data paths
DATA_PATH = os.path.join(
BASE_DIR, "..", "data", "processed", "energy_consumption_aggregated_cleaned.csv"
)
# Other paths
CHECKPOINT_DIR = os.path.join(BASE_DIR, "model", "checkpoints")
RESULTS_DIR = os.path.join(BASE_DIR, "results")
# ========== Model Settings ==========
SEQ_LEN = 512 # Input sequence length (number of time steps the model sees)
FORECAST_HORIZON = 1 # Number of future steps the model should predict
HEAD_DROPOUT = 0.1 # Dropout in the head to prevent overfitting
WEIGHT_DECAY = 0.0 # L2 regularization (0 means off)
# ========== Training Settings ==========
MAX_EPOCHS = 9 # Optimal number of epochs based on performance curve
BATCH_SIZE = 32 # Batch size for training and evaluation
LEARNING_RATE = 1e-4 # Base learning rate
MAX_LR = 1e-4 # Max LR for OneCycleLR scheduler
GRAD_CLIP = 5.0 # Gradient clipping threshold
# ========== Freezing Strategy ==========
FREEZE_ENCODER = True
FREEZE_EMBEDDER = True
FREEZE_HEAD = False # just unfreeze the last forecasting head for finetuning
|