Comments (3)
Hi @shufangxun,
Thank You for your interest in our work. The comment is referring to the importance of adding <video>
token to the annotation which is going to be replaced with the actual video content during training. It is not referring to the order of content['q']
and <video>
. However, during training this alternate order could be considered as form of regularization.
Please let me know if it clarifies the confusion. Thank you
from video-chatgpt.
Thanks for your reply! by the way, how much is the performance difference between these two ways?
from video-chatgpt.
Hi @shufangxun,
In our training, in half of the data samples we kept the text prompt after the video tokens and in other half before the video tokens. However, we do not conduct any ablation to find which method is more effective. The performance difference should be negligible as we are not updating the LLMs' parameters.
Please let me know if you have any questions or insights from your experiments.
from video-chatgpt.
Related Issues (20)
- Same output for any system prompt HOT 1
- Adding Modality HOT 1
- Question about the semi-automatic dataset creation process HOT 1
- RuntimeError: Parent directory ./Video-ChatGPT_7B-1.1_Checkpoints/checkpoint-3000 does not exist. HOT 5
- Why is the <video> tag is needed in training json? HOT 1
- How to load the tuned backbone? HOT 1
- Why does "No module named 'video chatgpt'" appear? What should I do next? HOT 3
- How to download the vidoes? HOT 1
- Single Node Training HOT 3
- GoogleDrive of Clip-Features HOT 3
- Question about the test json of msvd and msrvtt dataset HOT 1
- Can I use bfloat16 when training? HOT 1
- evaluate_activitynet_qa HOT 5
- License HOT 1
- Inference Code and Possible Utilization of Prompts HOT 1
- wondering if the speed is right about activitynet_qa eval
- Why TGIF videos missed and can't be processed HOT 3
- How to download the ready LLaVA-Lightening-7B weights HOT 5
- Download videos HOT 1
- How many frames are sampled per video for the training and testing process? HOT 5
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