---
language:
- fr
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- summarizer
- 16bit
base_model: unsloth/llama-2-7b-chat-bnb-4bit
---
# Uploaded as 16bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.007804878048780488**
### Best ROUGE-2 score : **0**
### Best ROUGE-L score : **0.005853658536585366**
## Wandb logs
You can view the training logs [](https://wandb.ai/william-derue/LLM-summarizer_trainer/runs/9wgdnwzd).
## 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"
*French audio podcast transcription*
# Project details
[](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 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 llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
This llama was trained with [LLM summarizer trainer](images/Llm_Summarizer_trainer_icon-removebg.png)
[](https://github.com/unslothai/unsloth)
**LLM summarizer trainer**
[](https://github.com/WillIsback/LLM_Summarizer_Trainer)