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

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: 0.4055
- Bleu: 0.5007
- Rouge1: 0.7335
- Rouge2: 0.5267
- Rougel: 0.7327

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.8553        | 1.0   | 5062  | 0.5278          | 0.3576 | 0.5832 | 0.3079 | 0.5813 |
| 0.4665        | 2.0   | 10124 | 0.4682          | 0.3846 | 0.6342 | 0.3690 | 0.6328 |
| 0.3762        | 3.0   | 15186 | 0.4394          | 0.4072 | 0.6631 | 0.4093 | 0.6616 |
| 0.3096        | 4.0   | 20248 | 0.4222          | 0.4283 | 0.6859 | 0.4422 | 0.6848 |
| 0.2588        | 5.0   | 25310 | 0.4118          | 0.4518 | 0.7053 | 0.4745 | 0.7042 |
| 0.2202        | 6.0   | 30372 | 0.4064          | 0.4779 | 0.7203 | 0.5014 | 0.7193 |
| 0.1906        | 7.0   | 35434 | 0.4055          | 0.5007 | 0.7335 | 0.5267 | 0.7327 |
| 0.1676        | 8.0   | 40496 | 0.4076          | 0.5192 | 0.7432 | 0.5456 | 0.7423 |
| 0.1502        | 9.0   | 45558 | 0.4122          | 0.5341 | 0.7496 | 0.5602 | 0.7487 |
| 0.1371        | 10.0  | 50620 | 0.4182          | 0.5453 | 0.7534 | 0.5668 | 0.7525 |
| 0.1275        | 11.0  | 55682 | 0.4228          | 0.5523 | 0.7562 | 0.5730 | 0.7552 |
| 0.1202        | 12.0  | 60744 | 0.4293          | 0.5545 | 0.7580 | 0.5762 | 0.7572 |


### Framework versions

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