---
license: mit
tags:
- generated_from_trainer
model-index:
- name: CharlesDeGaulle-GPT
  results: []
---

<!-- 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. -->

# CharlesDeGaulle-GPT

This model is a fine-tuned version of [antoinelouis/belgpt2](https://huggingface.co/antoinelouis/belgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5619

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 26   | 2.9939          |
| No log        | 2.0   | 52   | 2.7641          |
| No log        | 3.0   | 78   | 2.6621          |
| No log        | 4.0   | 104  | 2.6129          |
| No log        | 5.0   | 130  | 2.5897          |
| No log        | 6.0   | 156  | 2.5722          |
| No log        | 7.0   | 182  | 2.5630          |
| No log        | 8.0   | 208  | 2.5619          |


### Framework versions

- Transformers 4.21.0
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.12.1