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MiniGPT4_Train.md

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-## Training of MiniGPT-4
-
-The training of MiniGPT-4 contains two alignment stages.
-
-**1. First pretraining stage**
-
-In the first pretrained stage, the model is trained using image-text pairs from Laion and CC datasets
-to align the vision and language model. To download and prepare the datasets, please check 
-our [first stage dataset preparation instruction](dataset/README_1_STAGE.md). 
-After the first stage, the visual features are mapped and can be understood by the language
-model.
-To launch the first stage training, run the following command. In our experiments, we use 4 A100. 
-You can change the save path in the config file 
-[train_configs/minigpt4_stage1_pretrain.yaml](train_configs/minigpt4_stage1_pretrain.yaml)
-
-```bash
-torchrun --nproc-per-node NUM_GPU train.py --cfg-path train_configs/minigpt4_stage1_pretrain.yaml
-```
-
-A MiniGPT-4 checkpoint with only stage one training can be downloaded 
-[here (13B)](https://drive.google.com/file/d/1u9FRRBB3VovP1HxCAlpD9Lw4t4P6-Yq8/view?usp=share_link) or [here (7B)](https://drive.google.com/file/d/1HihQtCEXUyBM1i9DQbaK934wW3TZi-h5/view?usp=share_link).
-Compared to the model after stage two, this checkpoint generate incomplete and repeated sentences frequently.
-
-
-**2. Second finetuning stage**
-
-In the second stage, we use a small high quality image-text pair dataset created by ourselves
-and convert it to a conversation format to further align MiniGPT-4.
-To download and prepare our second stage dataset, please check our 
-[second stage dataset preparation instruction](dataset/README_2_STAGE.md).
-To launch the second stage alignment, 
-first specify the path to the checkpoint file trained in stage 1 in 
-[train_configs/minigpt4_stage1_pretrain.yaml](train_configs/minigpt4_stage2_finetune.yaml).
-You can also specify the output path there. 
-Then, run the following command. In our experiments, we use 1 A100.
-
-```bash
-torchrun --nproc-per-node NUM_GPU train.py --cfg-path train_configs/minigpt4_stage2_finetune.yaml
-```
-
-After the second stage alignment, MiniGPT-4 is able to talk about the image coherently and user-friendly.