---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_arabiangpt0.3
  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. -->

# res_nw_arabiangpt0.3

This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0679
- Bleu: 0.1681
- Rouge1: 0.5343
- Rouge2: 0.3158
- Rougel: 0.5319

## 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 20.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:------:|
| 0.0845        | 1.0   | 33752  | 0.0709          | 0.1360 | 0.4841 | 0.2595 | 0.4811 |
| 0.0638        | 2.0   | 67504  | 0.0683          | 0.1557 | 0.5166 | 0.2948 | 0.5140 |
| 0.0546        | 3.0   | 101256 | 0.0679          | 0.1681 | 0.5343 | 0.3158 | 0.5319 |
| 0.0468        | 4.0   | 135008 | 0.0689          | 0.1830 | 0.5477 | 0.3320 | 0.5452 |
| 0.0401        | 5.0   | 168760 | 0.0706          | 0.1941 | 0.5549 | 0.3422 | 0.5527 |
| 0.0345        | 6.0   | 202512 | 0.0734          | 0.2016 | 0.5580 | 0.3486 | 0.5558 |
| 0.0302        | 7.0   | 236264 | 0.0769          | 0.2083 | 0.5600 | 0.3535 | 0.5577 |
| 0.0269        | 8.0   | 270016 | 0.0797          | 0.2112 | 0.5592 | 0.3546 | 0.5569 |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1