# Demo configuration for hackathon presentation
# Optimized for quick demonstration with small dataset

# Model settings
model_name: "facebook/wav2vec2-base"
device: "cpu"  # Change to "cuda" if GPU available
checkpoint: null

# Data settings
data_path: "data/demo"
split_ratios:
  train: 0.7
  val: 0.15
  test: 0.15

# RL algorithm settings
algorithm: "ppo"
learning_rate: 0.001  # Higher for faster demo convergence
gamma: 0.99
clip_epsilon: 0.2

# Reward function settings
reward_weights:
  clarity: 0.33
  naturalness: 0.33
  accuracy: 0.34

# Training settings (optimized for demo)
num_episodes: 10  # Quick demo, increase to 100 for full demo
batch_size: 16  # Smaller for demo dataset
episode_length: 5  # Shorter episodes for quick demo

# Checkpointing
checkpoint_interval: 5  # Save every 5 episodes
checkpoint_dir: "checkpoints"
max_checkpoints: 3

# Logging and monitoring
log_interval: 1  # Log every episode for demo
log_dir: "logs"

# Reproducibility
random_seed: 42

# Demo-specific settings
demo_mode: true
verbose: true