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In [ ]:

import matplotlib.pyplot as plt

import matplotlib.pyplot as plt

In [ ]:

def draw1(loss_history,acc_history):
    # 绘制损失函数值的折线图
    plt.figure(figsize=(10, 5))
    plt.subplot(1, 2, 1)
    plt.plot(loss_history, label='Loss')
    plt.title('Loss with Epochs')
    plt.xlabel('Epoch')
    plt.ylabel('Loss')
    plt.legend()
    # 绘制准确率的折线图
    plt.subplot(1, 2, 2)
    plt.plot(acc_history, label='Accuracy', color='orange')
    plt.title('Accuracy with Epochs in Validation Dataset')
    plt.xlabel('Epoch')
    plt.ylabel('Accuracy')
    plt.legend()
    # 显示图形
    plt.tight_layout()
    plt.show()

def draw1(loss_history,acc_history): # 绘制损失函数值的折线图 plt.figure(figsize=(10, 5)) plt.subplot(1, 2, 1) plt.plot(loss_history, label='Loss') plt.title('Loss with Epochs') plt.xlabel('Epoch') plt.ylabel('Loss') plt.legend() # 绘制准确率的折线图 plt.subplot(1, 2, 2) plt.plot(acc_history, label='Accuracy', color='orange') plt.title('Accuracy with Epochs in Validation Dataset') plt.xlabel('Epoch') plt.ylabel('Accuracy') plt.legend() # 显示图形 plt.tight_layout() plt.show()

In [ ]:

def draw2(loss_histories,acc_histories,learning_rates):
    # 绘制损失函数值的折线图
    plt.figure(figsize=(10, 5))
    for i, lr in enumerate(learning_rates):
        plt.plot(loss_histories[i], label=f'LR={lr}')
    plt.title('Loss over Epochs for Different Learning Rates')
    plt.xlabel('Epoch')
    plt.ylabel('Loss')
    plt.legend()
    plt.show()
    
    # 绘制验证集准确率的折线图
    plt.figure(figsize=(10, 5))
    for i, lr in enumerate(learning_rates):
        plt.plot(acc_histories[i], label=f'LR={lr}')

    plt.title('Accuracy over Epochs for Different Learning Rates in Validation Dataset')
    plt.xlabel('Epoch')
    plt.ylabel('Accuracy')
    plt.legend()
    plt.show()

def draw2(loss_histories,acc_histories,learning_rates): # 绘制损失函数值的折线图 plt.figure(figsize=(10, 5)) for i, lr in enumerate(learning_rates): plt.plot(loss_histories[i], label=f'LR={lr}') plt.title('Loss over Epochs for Different Learning Rates') plt.xlabel('Epoch') plt.ylabel('Loss') plt.legend() plt.show() # 绘制验证集准确率的折线图 plt.figure(figsize=(10, 5)) for i, lr in enumerate(learning_rates): plt.plot(acc_histories[i], label=f'LR={lr}') plt.title('Accuracy over Epochs for Different Learning Rates in Validation Dataset') plt.xlabel('Epoch') plt.ylabel('Accuracy') plt.legend() plt.show()