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---
license: apache-2.0
tags:
- generated_from_trainer
base_model: crossroderick/occitan-distilgpt2-medium
model-index:
- name: occitan-distilgpt2-medium
results: []
widget:
- text: "Adieusatz! Ieu soi Micheu e"
example_title: "Example 1"
- text: "A mon vejaire"
example_title: "Example 2"
- text: "Mercés plan per la"
example_title: "Example 3"
- text: "Vòstres mots son mai"
example_title: "Example 4"
---
# occitan-distilgpt2-medium
*Adieusatz brave monde!*
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the Occitan language section of the Wikipedia dataset, and is part of a personal effort to study the Occitan language in an NLP environment. It achieves the following results on the evaluation set:
- Loss: 2.0660
## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1891 | 1.0 | 854 | 2.0699 |
| 2.1584 | 2.0 | 1708 | 2.0686 |
| 2.1427 | 3.0 | 2562 | 2.0660 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2