---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_irq_03
  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_irq_03

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: 0.9735
- Bleu: 0.3759
- Rouge1: 0.5621
- Rouge2: 0.3073
- Rougel: 0.5603

## 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 | Validation Loss | Bleu   | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.1923        | 1.0   | 1057 | 0.9735          | 0.3759 | 0.5621 | 0.3073 | 0.5603 |
| 0.3956        | 2.0   | 2114 | 1.2529          | 0.4146 | 0.6342 | 0.3777 | 0.6330 |
| 0.2578        | 3.0   | 3171 | 1.1432          | 0.4178 | 0.6356 | 0.3887 | 0.6341 |
| 0.1771        | 4.0   | 4228 | 1.3314          | 0.4209 | 0.6564 | 0.4083 | 0.6546 |
| 0.1337        | 5.0   | 5285 | 1.3444          | 0.4256 | 0.6508 | 0.4061 | 0.6495 |
| 0.1118        | 6.0   | 6342 | 1.3693          | 0.4248 | 0.6534 | 0.4079 | 0.6523 |


### Framework versions

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