---
license: apache-2.0
tags:
- generated_from_trainer
- Summarization
- Transformers
- PyTorch
datasets:
- xlsum
model-index:
- name: arabartsummarization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# arabartsummarization

This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3394

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.784         | 1.0   | 9380  | 2.3820          |
| 2.4954        | 2.0   | 18760 | 2.3418          |
| 2.2223        | 3.0   | 28140 | 2.3394          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2