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

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: 0.4179
- Bleu: 0.4093
- Rouge1: 0.6309
- Rouge2: 0.3587
- Rougel: 0.6298

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.8893        | 1.0   | 836  | 0.4815          | 0.3818 | 0.5345 | 0.2557 | 0.5335 |
| 0.4211        | 2.0   | 1672 | 0.4301          | 0.3947 | 0.5886 | 0.3084 | 0.5877 |
| 0.3307        | 3.0   | 2508 | 0.4181          | 0.4098 | 0.6130 | 0.3382 | 0.6119 |
| 0.2641        | 4.0   | 3344 | 0.4179          | 0.4093 | 0.6309 | 0.3587 | 0.6298 |
| 0.2135        | 5.0   | 4180 | 0.4242          | 0.4125 | 0.6373 | 0.3691 | 0.6359 |
| 0.1765        | 6.0   | 5016 | 0.4300          | 0.4156 | 0.6466 | 0.3830 | 0.6453 |
| 0.1492        | 7.0   | 5852 | 0.4348          | 0.4188 | 0.6460 | 0.3852 | 0.6449 |
| 0.1293        | 8.0   | 6688 | 0.4431          | 0.4190 | 0.6493 | 0.3895 | 0.6482 |
| 0.1155        | 9.0   | 7524 | 0.4497          | 0.4202 | 0.6498 | 0.3905 | 0.6488 |


### Framework versions

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