---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-1.5B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_irq_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_irq_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: 1.1622
- Bleu: 0.3502
- Rouge1: 0.5096
- Rouge2: 0.2469
- Rougel: 0.5076

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 2.1843        | 1.0   | 1057  | 1.2503          | 0.3206 | 0.4318 | 0.1767 | 0.4294 |
| 0.6485        | 2.0   | 2114  | 1.1708          | 0.3343 | 0.4673 | 0.2064 | 0.4651 |
| 0.5688        | 3.0   | 3171  | 1.1971          | 0.3413 | 0.4874 | 0.2243 | 0.4851 |
| 0.5047        | 4.0   | 4228  | 1.1978          | 0.3500 | 0.5054 | 0.2431 | 0.5030 |
| 0.4482        | 5.0   | 5285  | 1.1622          | 0.3502 | 0.5096 | 0.2469 | 0.5076 |
| 0.3971        | 6.0   | 6342  | 1.2058          | 0.3536 | 0.5150 | 0.2535 | 0.5128 |
| 0.3513        | 7.0   | 7399  | 1.2158          | 0.3519 | 0.5180 | 0.2566 | 0.5155 |
| 0.3105        | 8.0   | 8456  | 1.2344          | 0.3534 | 0.5225 | 0.2630 | 0.5202 |
| 0.2743        | 9.0   | 9513  | 1.2988          | 0.3554 | 0.5277 | 0.2693 | 0.5249 |
| 0.2426        | 10.0  | 10570 | 1.3222          | 0.3551 | 0.5235 | 0.2650 | 0.5207 |


### Framework versions

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