---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-03B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_lev_03
  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_03

This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3660
- Bleu: 0.4889
- Rouge1: 0.7442
- Rouge2: 0.5302
- Rougel: 0.7434

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.6345        | 1.0   | 5062  | 0.4249          | 0.4054 | 0.6718 | 0.4168 | 0.6706 |
| 0.3258        | 2.0   | 10124 | 0.3824          | 0.4443 | 0.7135 | 0.4800 | 0.7124 |
| 0.2266        | 3.0   | 15186 | 0.3660          | 0.4889 | 0.7442 | 0.5302 | 0.7434 |
| 0.1702        | 4.0   | 20248 | 0.3713          | 0.5217 | 0.7592 | 0.5618 | 0.7584 |
| 0.1405        | 5.0   | 25310 | 0.3809          | 0.5411 | 0.7671 | 0.5785 | 0.7663 |
| 0.1253        | 6.0   | 30372 | 0.3939          | 0.5539 | 0.7718 | 0.5899 | 0.7710 |
| 0.1166        | 7.0   | 35434 | 0.3990          | 0.5536 | 0.7745 | 0.5942 | 0.7737 |
| 0.1107        | 8.0   | 40496 | 0.4050          | 0.5608 | 0.7770 | 0.5994 | 0.7763 |


### Framework versions

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