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--- |
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tags: |
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- generated_from_trainer |
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base_model: crossroderick/occitan-distilgpt2-medium |
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model-index: |
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- name: occitan-distilgpt2-medium |
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results: [] |
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widget: |
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- text: "Adieusatz! Ieu soi Micheu e" |
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example_title: "Example 1" |
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- text: "A mon vejaire" |
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example_title: "Example 2" |
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- text: "Mercés plan per la" |
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example_title: "Example 3" |
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- text: "Vòstres mots son mai" |
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example_title: "Example 4" |
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--- |
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# occitan-distilgpt2-medium |
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*Adieusatz brave monde!* |
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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: |
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- Loss: 2.0163 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 48 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1497 | 1.0 | 854 | 2.0202 | |
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| 2.1145 | 2.0 | 1708 | 2.0195 | |
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| 2.097 | 3.0 | 2562 | 2.0163 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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