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---
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
should probably proofread and complete it, then remove this comment. -->
# 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 |