Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: update README.md #2

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -185,7 +185,7 @@ Now checkout the application demo and try play with PLLAVA!
Follow the following steps to reproduce our results or train your own variant:

#### 1. Data Preparation
To train our model from a starting Image-aligned Vision LLM, you would need to download the data first. Our data set up is mainly based on the original Videochat2's training data. Checkout [Instruction Data](./DATA.md) to prepare the instruction training data. Ideally, setting up a root data directory and alter the code here [](./tasks/train/instruction_data.py#6) would accomodate the data for training most smoothly.
To train our model from a starting Image-aligned Vision LLM, you would need to download the data first. Our data set up is mainly based on the original Videochat2's training data. Checkout [Instruction Data](./DATA.md) to prepare the instruction training data. Ideally, setting up a root data directory and alter the code here [](./tasks/train/instruction_data.py#6) would accommodate the data for training most smoothly.

#### 2. Start Training
Now you're only a few step away from starting the training. Follow the instructions:
Expand Down