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flickr 8k 数据集bleu-4复现问题? #2
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是的,这个值应该至少在0.1以上。你运行的是CLIP-DDPM.py吗,summary输出的trial name是什么? |
我运行的是 CLIP-DDPM.ipynb, trial_name 是 epoch15_lossseries_sum_sample_mean_lr1E-04-5E-05_schedulerlinspace_round3E-01_dynamic-1_clipconcat_class_weight0E+00_class_prob2E-01_train-embedFalse_samplesize100_x_0_predictTrue_X_INTERVAL100_use_x_tTrue_use_x_1True_use_probTrue |
你可以尝试下重新输出trial name看超参数是不是正确的,因为如果你有load模型进行预测那超参数不同会导致预测和训练结果差很多。或者检查summary文件中的train和evaluation loss,metrics evaluation 第一个cell有示范plot函数。 |
我检查了一下超参数,batch_size 设置为2了,原因是 gpu 不太够了,batch_size 会不会非常影响性能? |
这我就不太清楚了,实验的时候没有尝试过这么小的batch size |
我跑的时候,仅仅使用 flickr 8k,得到如上结果,是不是过小了?其他设置没变,我看论文中是0.1549
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