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---
language:
- fr
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- gemma
- summarizer
- lora
base_model: unsloth/gemma-2b-it-bnb-4bit
---
# Uploaded as lora model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.9981203007518796**
### Best ROUGE-2 score : **0.9981167608286252**
### 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).
## Training details
### training data
- Dataset : [fr-summarizer-dataset](https://huggingface.co/datasets/Labagaite/fr-summarizer-dataset)
- Data-size : 7.65 MB
- train : 1.97k rows
- validation : 440 rows
- roles : user , assistant
- Format chatml "role": "role", "content": "content", "user": "user", "assistant": "assistant"
<br>
*French audio podcast transcription*
# Project details
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)
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