Create evaluation_config.py

my_model/config/evaluation_config.py

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+FUZZY_SCORE = 80
+USE_FUZZY = False  # this was used at the initial stage of the evaluation only, then manually reviewed as detailed in the report. 
+EVALUATION_DATA_PATH = 'my_model/results/evaluation_results.xlsx'
+MODEL_NAMES = ['13b', '7b']  # LLaMA-2 varients used.
+MODEL_CONFIGURATIONS = ['caption+detic', 'caption+yolov5', 'only_caption', 'only_detic', 'only_yolov5'] # Ablation study on multiple model configurations
+OPENAI_API_KEY = os.getenv('OPENAI_API_KEY')
+GPT4_MAX_TOKENS=100
+GPT4_TEMPERATURE = 0.1
+GPT4_SEED = 123