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View Code? Open in Web Editor NEWA large Cross-Modal Video Retrieval Dataset with Reading Comprehension
License: MIT License
A large Cross-Modal Video Retrieval Dataset with Reading Comprehension
License: MIT License
Hello, i am interested in your excellent work(TextVR). But I can't run the code successfully
the result is below:
[t2v_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.1, R@10 0.2, R@50 1.1MedR: 1390, MeanR: 1369.0
[v2t_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.0, R@10 0.3, R@50 1.7MedR: 1376.5, MeanR: 1366.4
I try to train the model, but failed again.
[t2v_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.1, R@10 0.2, R@50 1.1MedR: 1390, MeanR: 1369.0
[v2t_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.0, R@10 0.3, R@50 1.7MedR: 1376.5, MeanR: 1366.4
The loss_0 is decrease to 0.75, and the val_loss_0 is 10.2, i wonder if my config is wrong or other reasons(over fitting?).
i use the given sim_matrix.npy to get the result, but the result is below:
[t2v_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.1, R@10 0.2, R@50 1.1MedR: 1390, MeanR: 1369.0
[v2t_metrics]TextVR epoch 0, R@1: 0.0, R@5: 0.0, R@10 0.3, R@50 1.7MedR: 1376.5, MeanR: 1366.4
the code is below:
sims = np.load('/path/sim_matrix.npy')# 本地读取,using the given example of sim_matrix.npy
res = metric(sims) # , query_masks=mask
verbose(epoch=0, metrics=res, name="", mode=metric_name)
Thanks for your patience,i wonder if my config is wrong or other reasons.
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