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README.md

@@ -26,7 +26,7 @@ base_model: unsloth/gemma-2b-it-bnb-4bit
 ### Best ROUGE-L score : **0.9981203007518796**
 
 ## Wandb logs
-You can view the training logs [<img src="https://site.wandb.ai/wp-content/uploads/2023/07/hero-app-p-1080.jpg" width="100"/>](https://wandb.ai/william-derue/LLM-summarizer_trainer/runs/18viezot).
+You can view the training logs [<img src="https://raw.githubusercontent.com/wandb/wandb/main/docs/README_images/logo-light.svg" width="200"/>](https://wandb.ai/william-derue/LLM-summarizer_trainer/runs/18viezot).
 
 ## Training details
 
@@ -41,10 +41,11 @@ You can view the training logs [<img src="https://site.wandb.ai/wp-content/uploa
 *French audio podcast transcription*
 
 # Project details
+[<img src="https://avatars.githubusercontent.com/u/116890814?v=4" width="100"/>](https://github.com/WillIsback/Report_Maker)
 Fine-tuned on French audio podcast transcription data for summarization task. As a result, the model is able to summarize French audio podcast transcription data.
 The model will be used for a AI application: [Report Maker](https://github.com/WillIsback/Report_Maker) wich is a powerful tool designed to automate the process of transcribing and summarizing meetings.
 It leverages state-of-the-art machine learning models to provide detailed and accurate reports.
 
 This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) [<img src="https://avatars.githubusercontent.com/u/116890814?v=4" width="100"/>](https://github.com/WillIsback/Report_Maker)
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)