---
license: openrail
base_model: bofenghuang/vigogne-33b-instruct
tags:
- generated_from_trainer
- lora
model-index:
- name: PointCon-vigogne-33b-instruct-3
  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-33b-instruct-3

This model is a fine-tuned version of [bofenghuang/vigogne-33b-instruct](https://huggingface.co/bofenghuang/vigogne-33b-instruct) on the .CON french satirical corpus.
It achieves the following results on the evaluation set:
- Loss: 1.8266

## 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: 5e-05
- 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0831        | 0.24  | 30   | 1.9738          |
| 1.9472        | 0.48  | 60   | 1.8989          |
| 1.8874        | 0.73  | 90   | 1.8626          |
| 1.8311        | 0.97  | 120  | 1.8403          |
| 1.7394        | 1.21  | 150  | 1.8423          |
| 1.6894        | 1.45  | 180  | 1.8373          |
| 1.6351        | 1.69  | 210  | 1.8295          |
| 1.7245        | 1.94  | 240  | 1.8266          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1