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

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: 0.4779
- Bleu: 0.2606
- Rouge1: 0.6492
- Rouge2: 0.4062
- Rougel: 0.6482

## 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  | Bleu   | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|:------:|:------:|
| 1.9575        | 1.0   | 838   | 0.1790 | 0.4805          | 0.5301 | 0.2585 | 0.5287 |
| 0.422         | 2.0   | 1676  | 0.2112 | 0.4327          | 0.5789 | 0.3115 | 0.5778 |
| 0.331         | 3.0   | 2514  | 0.2289 | 0.4185          | 0.6067 | 0.3463 | 0.6056 |
| 0.2638        | 4.0   | 3352  | 0.2374 | 0.4183          | 0.6213 | 0.3630 | 0.6195 |
| 0.2131        | 5.0   | 4190  | 0.2423 | 0.4248          | 0.6280 | 0.3719 | 0.6265 |
| 0.1756        | 6.0   | 5028  | 0.2511 | 0.4323          | 0.6329 | 0.3818 | 0.6312 |
| 0.148         | 7.0   | 5866  | 0.2458 | 0.4369          | 0.6347 | 0.3891 | 0.6327 |
| 0.1285        | 8.0   | 6704  | 0.2499 | 0.4448          | 0.6380 | 0.3885 | 0.6368 |
| 0.1152        | 9.0   | 7542  | 0.2539 | 0.4525          | 0.6407 | 0.3977 | 0.6393 |
| 0.105         | 10.0  | 8380  | 0.4590 | 0.2555          | 0.6441 | 0.3998 | 0.6426 |
| 0.0982        | 11.0  | 9218  | 0.4646 | 0.2580          | 0.6455 | 0.4019 | 0.6445 |
| 0.0936        | 12.0  | 10056 | 0.4702 | 0.2572          | 0.6457 | 0.4046 | 0.6446 |
| 0.0899        | 13.0  | 10894 | 0.4737 | 0.2577          | 0.6488 | 0.4053 | 0.6478 |
| 0.0871        | 14.0  | 11732 | 0.4779 | 0.2606          | 0.6492 | 0.4062 | 0.6482 |


### Framework versions

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