summarization / src /models /evaluate_model.py
gagan3012's picture
fixes
f9d6102
raw
history blame
615 Bytes
import dagshub
import yaml
from model import Summarization
import pandas as pd
import json
def evaluate_model():
"""
Evaluate model using rouge measure
"""
with open("params.yml") as f:
params = yaml.safe_load(f)
test_df = pd.read_csv('data/processed/test.csv')[:25]
model = Summarization()
model.load_model(model_type=params['model_type'], model_dir=params['model_dir'])
results = model.evaluate(test_df=test_df, metrics=params['metric'])
with open('reports/metrics.txt', 'w') as fp:
json.dump(results, fp)
if __name__ == '__main__':
evaluate_model()