---
license: apache-2.0
tags:
- generated_from_trainer
base_model: distilgpt2
model-index:
- name: occitan-distilgpt2-medium
  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. -->

# occitan-distilgpt2-medium

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2811

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 4.5937          |
| No log        | 2.0   | 42   | 4.3456          |
| No log        | 3.0   | 63   | 4.2811          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2