---
base_model: bofenghuang/vigogne-2-13b-instruct
tags:
- generated_from_trainer
- lora
model-index:
- name: PointCon-vigogne-2-13b-instruct-QLoRA-Instruct
  results: []
datasets:
- IUseAMouse/POINTCON-QA-Light
language:
- fr
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PointCon-vigogne-2-13b-instruct-QLoRA-Instruct

This model is a fine-tuned version of [bofenghuang/vigogne-2-13b-instruct](https://huggingface.co/bofenghuang/vigogne-2-13b-instruct) on the .CON corpus of books.
It achieves the following results on the evaluation set:
- Loss: 1.8921

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9628        | 1.0   | 91   | 1.8921          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3