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

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: 0.4720
- Bleu: 0.2297
- Rouge1: 0.5777
- Rouge2: 0.3341
- Rougel: 0.5758

## 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 |
|:-------------:|:-----:|:----:|:------:|:---------------:|:------:|:------:|:------:|
| 7.8314        | 1.0   | 153  | 0.0104 | 2.3597          | 0.0983 | 0.0018 | 0.0964 |
| 0.9995        | 2.0   | 306  | 0.1161 | 0.5538          | 0.4736 | 0.1854 | 0.4728 |
| 0.4848        | 3.0   | 459  | 0.1472 | 0.5034          | 0.5008 | 0.2174 | 0.5002 |
| 0.3823        | 4.0   | 612  | 0.1912 | 0.4827          | 0.5331 | 0.2744 | 0.5314 |
| 0.293         | 5.0   | 765  | 0.2096 | 0.4732          | 0.5619 | 0.3099 | 0.5587 |
| 0.2239        | 6.0   | 918  | 0.2297 | 0.4720          | 0.5777 | 0.3341 | 0.5758 |
| 0.1766        | 7.0   | 1071 | 0.2302 | 0.4737          | 0.5885 | 0.3468 | 0.5872 |
| 0.1434        | 8.0   | 1224 | 0.2451 | 0.4758          | 0.5938 | 0.3648 | 0.5903 |
| 0.1202        | 9.0   | 1377 | 0.2509 | 0.4828          | 0.6047 | 0.3683 | 0.6015 |
| 0.1042        | 10.0  | 1530 | 0.2439 | 0.4852          | 0.5980 | 0.3704 | 0.5951 |
| 0.0955        | 11.0  | 1683 | 0.2560 | 0.4885          | 0.6116 | 0.3795 | 0.6086 |
| 0.0875        | 12.0  | 1836 | 0.4914 | 0.2551          | 0.6098 | 0.3802 | 0.6056 |
| 0.0825        | 13.0  | 1989 | 0.4981 | 0.2627          | 0.6145 | 0.3872 | 0.6108 |
| 0.0787        | 14.0  | 2142 | 0.5005 | 0.2590          | 0.6138 | 0.3797 | 0.6101 |
| 0.0757        | 15.0  | 2295 | 0.5020 | 0.2632          | 0.6171 | 0.3850 | 0.6141 |
| 0.074         | 16.0  | 2448 | 0.5049 | 0.2594          | 0.6161 | 0.3829 | 0.6125 |


### Framework versions

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