metadata
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 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: 2.1597
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 |
---|---|---|---|
2.2727 | 1.0 | 854 | 2.1682 |
2.2369 | 2.0 | 1708 | 2.1618 |
2.2173 | 3.0 | 2562 | 2.1597 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2