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llava-vicuna-7b-v1.1-lcs_558k-instruct_80k_1e-lora-preview_alpha

Text Generation

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liuhaotian commited on Jun 11, 2023

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@@ -34,8 +34,8 @@ The primary use of LLaVA is research on large multimodal models and chatbots.
 The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
 ## Training dataset
-[1 epoch] 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
-[1 epoch] 80K GPT-generated multimodal instruction-following data.
 ## Evaluation dataset
 A preliminary evaluation of the model quality is conducted by creating a set of 90 visual reasoning questions from 30 unique images randomly sampled from COCO val 2014 and each is associated with three types of questions: conversational, detailed description, and complex reasoning. We utilize GPT-4 to judge the model outputs.

 The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
 ## Training dataset
+- 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
+- 80K GPT-generated multimodal instruction-following data.
 ## Evaluation dataset
 A preliminary evaluation of the model quality is conducted by creating a set of 90 visual reasoning questions from 30 unique images randomly sampled from COCO val 2014 and each is associated with three types of questions: conversational, detailed description, and complex reasoning. We utilize GPT-4 to judge the model outputs.