---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9084
- Bleu: 0.3172
- Rouge1: 0.5869
- Rouge2: 0.3505
- Rougel: 0.5504

## 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: 8
- eval_batch_size: 8
- 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 | Bleu   | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-------:|:----:|:------:|:---------------:|:------:|:------:|:------:|
| 3.359         | 1.5674  | 500  | 0.1142 | 3.1283          | 0.3298 | 0.0843 | 0.2561 |
| 2.9208        | 3.1348  | 1000 | 0.1491 | 2.7298          | 0.4041 | 0.1430 | 0.3408 |
| 2.619         | 4.7022  | 1500 | 0.1607 | 2.6229          | 0.4264 | 0.1631 | 0.3675 |
| 2.4047        | 4.3384  | 2000 | 2.2002 | 0.2721          | 0.4976 | 0.2542 | 0.4506 |
| 2.19          | 5.4230  | 2500 | 2.0992 | 0.2854          | 0.5205 | 0.2788 | 0.4773 |
| 2.0473        | 6.5076  | 3000 | 2.0362 | 0.2929          | 0.5381 | 0.2965 | 0.4965 |
| 1.9397        | 7.5922  | 3500 | 1.9933 | 0.2996          | 0.5494 | 0.3103 | 0.5102 |
| 1.857         | 8.6768  | 4000 | 1.9647 | 0.3024          | 0.5598 | 0.3191 | 0.5203 |
| 1.784         | 9.7614  | 4500 | 1.9443 | 0.3062          | 0.5675 | 0.3269 | 0.5279 |
| 1.7239        | 10.8460 | 5000 | 1.9320 | 0.3099          | 0.5724 | 0.3339 | 0.5341 |
| 1.6713        | 11.9306 | 5500 | 1.9206 | 0.3116          | 0.5765 | 0.3383 | 0.5387 |
| 1.6263        | 13.0152 | 6000 | 1.9168 | 0.3127          | 0.5781 | 0.3416 | 0.5416 |
| 1.5869        | 14.0998 | 6500 | 1.9148 | 0.3137          | 0.5829 | 0.3448 | 0.5451 |
| 1.5544        | 15.1844 | 7000 | 1.9121 | 0.3158          | 0.5845 | 0.3476 | 0.5476 |
| 1.5307        | 16.2690 | 7500 | 1.9106 | 0.3165          | 0.5853 | 0.3488 | 0.5486 |
| 1.5087        | 17.3536 | 8000 | 1.9093 | 0.3169          | 0.5861 | 0.3504 | 0.5500 |
| 1.4937        | 18.4382 | 8500 | 1.9084 | 0.3172          | 0.5869 | 0.3505 | 0.5504 |
| 1.4824        | 19.5228 | 9000 | 1.9086 | 0.3178          | 0.5876 | 0.3513 | 0.5510 |


### Framework versions

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