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Project 1: Sentiment Analysis with BERT
8. Step 5: Evaluating the Model
After training, we’ll evaluate the model on the test set to assess its accuracy.
Code Example: Evaluation
# Evaluate the model
results = trainer.evaluate()
print(f"Evaluation Results: {results}")8. Step 5: Evaluating the Model
After training, we’ll evaluate the model on the test set to assess its accuracy.
Code Example: Evaluation
# Evaluate the model
results = trainer.evaluate()
print(f"Evaluation Results: {results}")8. Step 5: Evaluating the Model
After training, we’ll evaluate the model on the test set to assess its accuracy.
Code Example: Evaluation
# Evaluate the model
results = trainer.evaluate()
print(f"Evaluation Results: {results}")8. Step 5: Evaluating the Model
After training, we’ll evaluate the model on the test set to assess its accuracy.
Code Example: Evaluation
# Evaluate the model
results = trainer.evaluate()
print(f"Evaluation Results: {results}")