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

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: 0.8298
- Bleu: 0.3390
- Rouge1: 0.5962
- Rouge2: 0.3298
- Rougel: 0.5921

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.1362        | 1.0   | 7105  | 0.9123          | 0.3024 | 0.5276 | 0.2508 | 0.5228 |
| 0.7501        | 2.0   | 14210 | 0.8436          | 0.3299 | 0.5754 | 0.3055 | 0.5713 |
| 0.6462        | 3.0   | 21315 | 0.8298          | 0.3390 | 0.5962 | 0.3298 | 0.5921 |
| 0.5705        | 4.0   | 28420 | 0.8328          | 0.3444 | 0.6048 | 0.3412 | 0.6011 |
| 0.5087        | 5.0   | 35525 | 0.8406          | 0.3480 | 0.6133 | 0.3512 | 0.6096 |
| 0.4559        | 6.0   | 42630 | 0.8647          | 0.3478 | 0.6133 | 0.3520 | 0.6094 |
| 0.4104        | 7.0   | 49735 | 0.8770          | 0.3485 | 0.6148 | 0.3533 | 0.6107 |
| 0.3708        | 8.0   | 56840 | 0.9003          | 0.3478 | 0.6166 | 0.3549 | 0.6125 |


### Framework versions

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