---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-1.5B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_lev_1.5
  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_1.5

This model is a fine-tuned version of [riotu-lab/ArabianGPT-1.5B](https://huggingface.co/riotu-lab/ArabianGPT-1.5B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4514
- Bleu: 0.4604
- Rouge1: 0.6935
- Rouge2: 0.4679
- Rougel: 0.6923

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.9723        | 1.0   | 5062  | 0.5929          | 0.3381 | 0.5352 | 0.2532 | 0.5335 |
| 0.5372        | 2.0   | 10124 | 0.5345          | 0.3565 | 0.5789 | 0.3004 | 0.5771 |
| 0.4562        | 3.0   | 15186 | 0.5011          | 0.3724 | 0.6090 | 0.3366 | 0.6075 |
| 0.3888        | 4.0   | 20248 | 0.4795          | 0.3896 | 0.6308 | 0.3647 | 0.6295 |
| 0.3295        | 5.0   | 25310 | 0.4640          | 0.4085 | 0.6529 | 0.3976 | 0.6516 |
| 0.2783        | 6.0   | 30372 | 0.4554          | 0.4323 | 0.6740 | 0.4326 | 0.6729 |
| 0.2359        | 7.0   | 35434 | 0.4514          | 0.4604 | 0.6935 | 0.4679 | 0.6923 |
| 0.2013        | 8.0   | 40496 | 0.4540          | 0.4853 | 0.7055 | 0.4938 | 0.7045 |
| 0.1741        | 9.0   | 45558 | 0.4603          | 0.5067 | 0.7139 | 0.5122 | 0.7130 |
| 0.1531        | 10.0  | 50620 | 0.4672          | 0.5228 | 0.7191 | 0.5235 | 0.7181 |
| 0.1373        | 11.0  | 55682 | 0.4777          | 0.5307 | 0.7205 | 0.5283 | 0.7197 |
| 0.1256        | 12.0  | 60744 | 0.4877          | 0.5358 | 0.7214 | 0.5308 | 0.7204 |


### Framework versions

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