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

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: 0.6266
- Bleu: 0.2679
- Rouge1: 0.5977
- Rouge2: 0.3443
- Rougel: 0.5959

## 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 |
|:-------------:|:-----:|:-----:|:------:|:---------------:|:------:|:------:|:------:|
| 1.2513        | 1.0   | 2703  | 0.2201 | 0.7112          | 0.5172 | 0.2533 | 0.5148 |
| 0.6462        | 2.0   | 5406  | 0.2451 | 0.6569          | 0.5579 | 0.2974 | 0.5553 |
| 0.5673        | 3.0   | 8109  | 0.2518 | 0.6499          | 0.5702 | 0.3118 | 0.5677 |
| 0.556         | 4.0   | 10812 | 0.2598 | 0.6330          | 0.5829 | 0.3262 | 0.5807 |
| 0.4786        | 5.0   | 13515 | 0.2679 | 0.6266          | 0.5977 | 0.3443 | 0.5959 |
| 0.4123        | 6.0   | 16218 | 0.2707 | 0.6303          | 0.6044 | 0.3548 | 0.6027 |
| 0.3573        | 7.0   | 18921 | 0.2739 | 0.6372          | 0.6108 | 0.3631 | 0.6088 |
| 0.3108        | 8.0   | 21624 | 0.2760 | 0.6466          | 0.6130 | 0.3678 | 0.6112 |
| 0.2719        | 9.0   | 24327 | 0.2802 | 0.6551          | 0.6178 | 0.3727 | 0.6159 |
| 0.2396        | 10.0  | 27030 | 0.2770 | 0.6658          | 0.6173 | 0.3729 | 0.6153 |
| 0.2129        | 11.0  | 29733 | 0.6768 | 0.2784          | 0.6188 | 0.3762 | 0.6171 |
| 0.191         | 12.0  | 32436 | 0.6870 | 0.2780          | 0.6208 | 0.3781 | 0.6189 |
| 0.1733        | 13.0  | 35139 | 0.6967 | 0.2800          | 0.6214 | 0.3799 | 0.6195 |
| 0.1593        | 14.0  | 37842 | 0.7063 | 0.2790          | 0.6215 | 0.3799 | 0.6195 |
| 0.1478        | 15.0  | 40545 | 0.7139 | 0.2809          | 0.6216 | 0.3804 | 0.6197 |


### Framework versions

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