我已经认真阅读了 你的问题：

【 mPLUG模型评估
】

并思考了

建议如下:

加载预训练模型
python
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from karpathy_utils import load_checkpoint
model = load_checkpoint('mPLUG-base.pt')
准备测试数据
python
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test_data = load_test_data()
进行预测
python
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predictions = model(test_data)
计算准确率
python
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from sklearn.metrics import accuracy_score

true_labels = test_data['labels']
predicted_labels = predictions.argmax(-1)

accuracy = accuracy_score(true_labels, predicted_labels)
print(f'Accuracy on test set: {accuracy}')
计算混淆矩阵
python
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from sklearn.metrics import confusion_matrix

confusion_mtx = confusion_matrix(true_labels, predicted_labels)
可视化分析结果