---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_gulf_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_gulf_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: 0.3495
- Bleu: 0.4355
- Rouge1: 0.6808
- Rouge2: 0.4218
- Rougel: 0.6799

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.1759        | 1.0   | 836  | 0.3774          | 0.4156 | 0.6364 | 0.3630 | 0.6352 |
| 0.2824        | 2.0   | 1672 | 0.3495          | 0.4355 | 0.6808 | 0.4218 | 0.6799 |
| 0.1846        | 3.0   | 2508 | 0.3579          | 0.4480 | 0.6989 | 0.4541 | 0.6984 |
| 0.1351        | 4.0   | 3344 | 0.3674          | 0.4449 | 0.6993 | 0.4556 | 0.6985 |
| 0.11          | 5.0   | 4180 | 0.3791          | 0.4488 | 0.7067 | 0.4681 | 0.7056 |
| 0.0981        | 6.0   | 5016 | 0.3922          | 0.4583 | 0.7135 | 0.4789 | 0.7129 |
| 0.0917        | 7.0   | 5852 | 0.3964          | 0.4567 | 0.7127 | 0.4779 | 0.7120 |


### Framework versions

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