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---
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
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