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

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: 0.6246
- Bleu: 0.3877
- Rouge1: 0.5958
- Rouge2: 0.3370
- Rougel: 0.5935

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.2336        | 1.0   | 2679  | 0.7062          | 0.3526 | 0.5198 | 0.2547 | 0.5170 |
| 0.634         | 2.0   | 5358  | 0.6423          | 0.3756 | 0.5739 | 0.3114 | 0.5714 |
| 0.5299        | 3.0   | 8037  | 0.6246          | 0.3877 | 0.5958 | 0.3370 | 0.5935 |
| 0.4492        | 4.0   | 10716 | 0.6246          | 0.3905 | 0.6081 | 0.3526 | 0.6057 |
| 0.3829        | 5.0   | 13395 | 0.6300          | 0.3963 | 0.6145 | 0.3621 | 0.6125 |
| 0.328         | 6.0   | 16074 | 0.6384          | 0.3961 | 0.6213 | 0.3700 | 0.6194 |
| 0.2832        | 7.0   | 18753 | 0.6491          | 0.3999 | 0.6232 | 0.3741 | 0.6209 |
| 0.2453        | 8.0   | 21432 | 0.6607          | 0.3968 | 0.6232 | 0.3746 | 0.6212 |


### Framework versions

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