---
tags:
- generated_from_trainer
model-index:
- name: aragpt2-base-finetuned-wikitext2
  results: []
---

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# aragpt2-base-finetuned-wikitext2

This model is a fine-tuned version of [aubmindlab/aragpt2-base](https://huggingface.co/aubmindlab/aragpt2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0307

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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   | 387  | 5.1841          |
| 5.9664        | 2.0   | 774  | 5.0627          |
| 5.4166        | 3.0   | 1161 | 5.0307          |


### Framework versions

- Transformers 4.11.0
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.10.3