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from dagshub import dagshub_logger
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 dagshub_logger(should_log_hparams=False) as logger:
logger.log_metrics(results)
if __name__ == '__main__':
evaluate_model()
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