Input Files Path : ./benchmarks/FB15K237/
The toolkit is importing datasets.
The total of relations is 237.
The total of entities is 14541.
The total of train triples is 272115.
Input Files Path : ./benchmarks/FB15K237/
The total of test triples is 20466.
The total of valid triples is 17535.
Finish initializing...
Epoch 9 | loss: 6.593310: 100%|█████████████████| 10/10 [00:21<00:00, 2.18s/it]
0%| | 1/20466 [00:00<04:40, 72.97it/s]
LiuYuemei111
commented
2 years ago
Input Files Path : ./benchmarks/FB15K237/ The toolkit is importing datasets. The total of relations is 237. The total of entities is 14541. The total of train triples is 272115. Input Files Path : ./benchmarks/FB15K237/ The total of test triples is 20466. The total of valid triples is 17535. Finish initializing... Epoch 9 | loss: 6.593310: 100%|█████████████████| 10/10 [00:21<00:00, 2.18s/it] 0%| | 1/20466 [00:00<04:40, 72.97it/s]
Process finished with exit code 0
执行tester.run_triple_classification()进行测试时，tqdm显示存在问题。TestDataLoader中，在进行triple classification任务时，TestDataSampler只采样一次，返回一组positive sample和一组negative sample，因此run_triple_classification中的第一个for循环在计算score时也只执行一次，感觉这个for循环不是很有必要。
实际运行中acc和threshold已经出来了，但是最后没输出。
另外，函数"run_triple_classification()"和"get_best_threshlod()"里的threshlod拼写也有一点点小错误。：）