Comments (1)
ArrowLuo
commented on August 16, 2024
Hi @zhangliang-04,
- Our paper reports results on ‘Training-7K’ follows the data splits from (Miech et al., 2019). However, the readme reports the results of ‘Training-9K’ which follows the data splits from (Gabeur et al., 2020). You can find two files, MSRVTT_train.7k.csv and MSRVTT_train.9k.csv in our released msrvtt.zip.
- Our running on FT-Align (‘Training-9K’ ) has a smaller batch size due to our GPUs limited. Thus, the results on ‘Training-9K’ are also not an obvious advantage over FT-Joint. Our experience is that the finetune hyper-parameters are important, and the FT-Align may not be the same as the FT-Joint. You can test on ‘Training-7K’ as our paper reported.
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Related Issues (20)
- How to fine-tune with additional layers before UniVL? HOT 2
- Run Without Distributed HOT 3
- TypeError: bad operand type for unary -: 'list' HOT 6
- How to run captioning task on my own video datasets? HOT 1
- Pre-training acceleration using multi-machine distributed training HOT 1
- Can you share your HowTo100M.csv file? HOT 3
- This repo is missing important files HOT 1
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- where to get transcript to generate youcookii_data.pickle HOT 2
- end-to-end video file captioning process HOT 3
- feature & data shape HOT 6
- How can I create my video feature pickle HOT 4
- video only test for youcook HOT 2
- How to only input text feature or video feature HOT 2
- Is there a code for Finetune on CMU-MOSI here? HOT 1
- Issues about Freezing some additional layers instead of meanP in CLIP4Clip HOT 2
- Error message (torch.distributed.elastic.multiprocessing.errors.ChildFailedError:)
- Estimate of zero-shot performance HOT 1
- Zero score (every output is None) on evaluation captioning with pretrained model HOT 1
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