Update README.md

README.md

@@ -27,7 +27,6 @@ Thanks to its multilingual specialization and emphasis on french, this model exc
 
 
 
-- **Developed by:** Loïc SOKOUDJOU SONAGU and Yoann SOLA
 - **Model type:** Multi-modal model (image+text)
 - **Language(s) (NLP):** French, English
 - **License:** Apache 2.0
@@ -74,21 +73,18 @@ with torch.inference_mode():
 
 ### Results
 
-By following the **[LLM-as-Juries](https://arxiv.org/abs/2404.18796)** evaluation method, the following results were obtained using three judge models (GPT-4o, Gemini1.5 Pro and Claude 3.5-Sonnet). These models were evaluated based on the average of two criteria: response accuracy and completeness, similar to what the [SSA metric](https://arxiv.org/abs/2001.09977) aims to capture. This metric was adapted to the VQA context, with clear criteria for each score (0 to 5) to ensure the highest possible precision in meeting expectations.
+By following the **[LLM-as-Juries](https://arxiv.org/abs/2404.18796)** evaluation method, the following results were obtained using three judge models (GPT-4o, Gemini1.5 Pro and Claude 3.5-Sonnet). This metric was adapted to the VQA context, with clear criteria for each score (0 to 5) to ensure the highest possible precision in meeting expectations.
 
-![constellation](https://i.postimg.cc/kMRmcBpQ/constellation-0.png)
+![constellation](https://i.postimg.cc/t4tjhy6b/constellation-0.png)
 
 
 ## Citation
 
 ```bibtex
-@online{Depaligemma,
+@online{SoSoPaligemma,
   AUTHOR = {Loïc SOKOUDJOU SONAGU and Yoann SOLA},
   URL = {https://huggingface.co/cmarkea/paligemma-3b-ft-docvqa-896-lora},
   YEAR = {2024},
   KEYWORDS = {Multimodal ; VQA},
 }
-```
-Find the base model paper [here](https://arxiv.org/abs/2407.07726).
-
-- PEFT 0.11.1
+```