Comments (1)
Hi @yangzhj53,
Thank you for your interest in our work. It looks like the model is not respecting the system/user prompt in this particular case which can be considered as one of the limitations of the model.
May be, using some language only instruction data (e.g. ShareGPT data) along with the VideoInstruct-100K improves the performance.
Please do share if you fix this trend. Thank you and good luck :)
from video-chatgpt.
Related Issues (20)
- 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
- RuntimeError: Internal: src/sentencepiece_processor.cc(1101) [model_proto->ParseFromArray(serialized.data(), serialized.size())] HOT 5
- I encountered an error while using "Run the Demo". HOT 3
- Insufficient VRAM on a single card, how to utilize multiple cards for inference HOT 2
- Question about consistency evaluation HOT 3
- The responses from the offline_demo are garbled HOT 2
- 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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from video-chatgpt.