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README.md

@@ -21,12 +21,12 @@ base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
 # Training Logs
 
 ## Summary metrics
-### Best ROUGE-1 score : **0.15938795027095953**
-### Best ROUGE-2 score : **0.15885167464114833**
-### Best ROUGE-L score : **0.15938795027095953**
+### Best ROUGE-1 score : **0.9842446709916588**
+### Best ROUGE-2 score : **0.9842154131847726**
+### Best ROUGE-L score : **0.9842446709916588**
 
 ## Wandb logs
-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/e3co46y5).
+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/s9xqw6o8).
 
 ## Training details
 
@@ -43,7 +43,7 @@ You can view the training logs [<img src="https://raw.githubusercontent.com/wand
 # 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.
+The model will be used for an 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 mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.