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---
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
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