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

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: 1.0817
- Bleu: 0.3500
- Rouge1: 0.5071
- Rouge2: 0.2486
- Rougel: 0.5048

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.7995        | 1.0   | 1057 | 1.1332          | 0.3157 | 0.4552 | 0.2017 | 0.4531 |
| 0.5906        | 2.0   | 2114 | 1.0817          | 0.3500 | 0.5071 | 0.2486 | 0.5048 |
| 0.484         | 3.0   | 3171 | 1.1038          | 0.3592 | 0.5330 | 0.2737 | 0.5303 |
| 0.4017        | 4.0   | 4228 | 1.1117          | 0.3665 | 0.5471 | 0.2915 | 0.5449 |
| 0.3357        | 5.0   | 5285 | 1.1361          | 0.3695 | 0.5552 | 0.3010 | 0.5533 |
| 0.2832        | 6.0   | 6342 | 1.1257          | 0.3721 | 0.5607 | 0.3089 | 0.5584 |
| 0.2404        | 7.0   | 7399 | 1.1581          | 0.3740 | 0.5622 | 0.3102 | 0.5600 |


### Framework versions

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