---
license: apache-2.0
base_model: moussaKam/AraBART
tags:
- generated_from_trainer
model-index:
- name: resultsara_5epoch
  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. -->

# resultsara_5epoch

This model is a fine-tuned version of [moussaKam/AraBART](https://huggingface.co/moussaKam/AraBART) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6393

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4457        | 0.1333 | 500  | 0.7199          |
| 0.8534        | 0.2667 | 1000 | 0.6676          |
| 0.9825        | 0.4    | 1500 | 0.6572          |
| 0.9602        | 0.5333 | 2000 | 0.6492          |
| 0.9685        | 0.6667 | 2500 | 0.6411          |
| 0.9596        | 0.8    | 3000 | 0.6374          |
| 0.9561        | 0.9333 | 3500 | 0.6312          |
| 0.8599        | 1.0667 | 4000 | 0.6394          |
| 0.7501        | 1.2    | 4500 | 0.6413          |
| 0.7739        | 1.3333 | 5000 | 0.6376          |
| 0.7791        | 1.4667 | 5500 | 0.6465          |
| 0.7911        | 1.6    | 6000 | 0.6414          |
| 0.7889        | 1.7333 | 6500 | 0.6393          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1