---
library_name: transformers
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: random_sentence_french
  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. -->

# random_sentence_french

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1513

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.7697        | 0.0036 | 2000  | 0.1915          |
| 0.1884        | 0.0072 | 4000  | 0.1777          |
| 0.178         | 0.0109 | 6000  | 0.1698          |
| 0.1714        | 0.0145 | 8000  | 0.1655          |
| 0.1669        | 0.0181 | 10000 | 0.1620          |
| 0.1647        | 0.0217 | 12000 | 0.1595          |
| 0.1608        | 0.0253 | 14000 | 0.1578          |
| 0.1601        | 0.0289 | 16000 | 0.1565          |
| 0.1607        | 0.0326 | 18000 | 0.1552          |
| 0.1565        | 0.0362 | 20000 | 0.1544          |
| 0.1555        | 0.0398 | 22000 | 0.1533          |
| 0.1549        | 0.0434 | 24000 | 0.1526          |
| 0.1544        | 0.0470 | 26000 | 0.1519          |
| 0.1529        | 0.0506 | 28000 | 0.1513          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 3.0.1
- Tokenizers 0.20.1