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license: apache-2.0
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**Base Model**: BLIP2-t5 pretrained version
**Finetune data**:
* LLAVA 150k (sample one pair of instruction-answer if multi-round conversations)
* MiniGPT4 3500 pairs
**Hyper-parameters**:
* BLIP2-flant5-xl + LLAVA (initial commits)
* **v0**:
* lr = 2e-5 --> 0.0 with cosine lr scheduler
* gbs = 32
* image size = 480
* weight decay = 0.05
* **v1 (same as LLAVA)**:
* lr = 2e-5
* gbs = 32
* image size = 480
* weight decay = 0.0
* BLIP2-flant5-xl + MiniGPT4
* lr = 2e-5
* gbs = 32
* image size = 480
* weight decay = 0.0
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