33 lines
843 B
Python
33 lines
843 B
Python
import re
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import matplotlib.pyplot as plt
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log_file = 'out/train.log'
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steps_per_epoch = 58880 # 你需要根据实际日志设置
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with open(log_file, 'r', encoding='utf-8') as f:
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log_text = f.read()
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# 提取 epoch, step, loss
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pattern = re.compile(r'Epoch\s+(\d+)/\d+,\s+Step\s+(\d+)/\d+,\s+Loss:\s*([0-9.]+)', re.MULTILINE)
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matches = pattern.findall(log_text)
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global_steps = []
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losses = []
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for epoch, step, loss in matches:
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epoch = int(epoch)
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step = int(step)
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global_step = (epoch - 1) * steps_per_epoch + step
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global_steps.append(global_step)
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losses.append(float(loss))
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plt.figure(figsize=(12, 6))
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plt.plot(global_steps, losses, label='Loss')
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plt.xlabel('Global Step')
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plt.ylabel('Loss')
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plt.title('Training Loss Curve')
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plt.legend()
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plt.grid(True)
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plt.tight_layout()
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plt.savefig('out/loss_curve.png')
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plt.show() |