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Running
on
Zero
Running
on
Zero
Installation
Requirements
We mainly follow UMT to prepare the enviroment.
pip install -r requirements.txt
We follow UMT to set --epochs 201
to avoid the potential interrupt in the last epoch.
We observed accidental interrupt in the last epoch when conducted the pre-training experiments on V100 GPUs (PyTorch 1.6.0). This interrupt is caused by the scheduler of learning rate. We naively set --epochs 801 to walk away from issue.
Note
To run InternVideo2 pretraining, you have to prepare the weights of the InternVL-6B visual encoder and VideoMAEv2-g, and set the your_model_path
in internvl_clip_vision.py and videomae.py.