openevolve/configs/early_stopping_example.yaml at main · algorithmicsuperintelligence/openevolve · GitHub

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
35
36
37
38
# OpenEvolve Configuration with Early Stopping Example
# This configuration demonstrates how to use the early stopping feature

# Basic settings
max_iterations: 1000
checkpoint_interval: 50
log_level: "INFO"

# Early stopping configuration - stops evolution if no improvement for 30 iterations
early_stopping_patience: 30          # Stop after 30 iterations without improvement
convergence_threshold: 0.01          # Minimum improvement of 0.01 required to reset patience
early_stopping_metric: "combined_score"  # Track the combined_score metric

# LLM configuration
llm:
  models:
    - name: "gpt-4o-mini"
      weight: 1.0

  api_base: "https://api.openai.com/v1"
  temperature: 0.7
  max_tokens: 4096

# Database configuration
database:
  population_size: 50
  num_islands: 3
  migration_interval: 20

# Evaluation settings
evaluator:
  timeout: 60
  max_retries: 2
  parallel_evaluations: 2

# Evolution settings
diff_based_evolution: true
max_code_length: 8000