Comments (3)
@STARK1234 , When I reproduce the results of meanP on MSRVTT training-9k, I found the R@1 is the same as results in paper, while the R@5 and R@10 is higher, MnR is higher to 17. The snap of log is shown as follows
Can you show me your log file in meanP reproduction ?
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@STARK1234 , When I reproduce the results of meanP on MSRVTT training-9k, I found the R@1 is the same as results in paper, while the R@5 and R@10 is higher, MnR is higher to 17. The snap of log is shown as follows Can you show me your log file in meanP reproduction ?
Hello, I ran the author's code directly on the MSRVTT dataset, I don't know why loss is nan, did you modify any code?
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Related Issues (20)
- Use my own videos HOT 1
- Question about the calculation method of loss when there are multiple gpus HOT 1
- running the project HOT 1
- Problem about reproducing the model HOT 1
- Poor performance when reproduce CLIP4clip(meanP) on ActivityNet HOT 14
- loss becomes nan HOT 5
- About Performance HOT 4
- train on DiDeMo HOT 1
- Batch size issue concerned with Contrastive learning HOT 2
- About tightTrans and type embedding HOT 1
- How to train and evaluate the model on the Training-7k split? HOT 1
- run simple inference HOT 1
- loss NaN when training on MSRVTT HOT 1
- About mean_pooling on text sequence HOT 2
- Evaluation batch
- Large performance drop if trained with fp32. HOT 1
- [PAD_TOKEN] is not used, but just adding 0
- train files HOT 1
- Directly pass the entire config as a argument to a function
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