---
library_name: transformers
license: apache-2.0
base_model: moussaKam/AraBART
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: AraBART-traffics-summarization
  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. -->

# AraBART-traffics-summarization

This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5301
- Rouge1: 0.8041
- Rouge2: 0.7628
- Rougel: 0.8027
- Rougelsum: 0.8035

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log        | 1.0   | 326  | 0.5848          | 0.7780 | 0.7365 | 0.7773 | 0.7779    |
| 1.0582        | 2.0   | 652  | 0.5345          | 0.7951 | 0.7535 | 0.7942 | 0.7947    |
| 1.0582        | 3.0   | 978  | 0.5332          | 0.7964 | 0.7536 | 0.7955 | 0.7960    |
| 0.5142        | 4.0   | 1304 | 0.5217          | 0.8016 | 0.7579 | 0.8009 | 0.8015    |
| 0.3681        | 5.0   | 1630 | 0.5301          | 0.8041 | 0.7628 | 0.8027 | 0.8035    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1