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---
license: apache-2.0
base_model: riotu-lab/ArabianGPT-01B
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: results_fixed
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. -->
# results_fixed
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: 2.1411
- Bleu: 0.2987
- Rouge1: 0.5831
- Rouge2: 0.3405
- Rougel: 0.5413
## 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: 3.0
### Training results
| Training Loss | Epoch | Step | Bleu | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:------:|:----:|:------:|:---------------:|:------:|:------:|:------:|
| 3.9816 | 1.0846 | 500 | 0.2270 | 2.8213 | 0.3851 | 0.1625 | 0.3198 |
| 3.9816 | 2.0 | 922 | 0.2481 | 2.4793 | 0.4405 | 0.2030 | 0.3844 |
| 2.6514 | 3.0 | 1383 | 0.2658 | 2.2931 | 0.4828 | 0.2385 | 0.4327 |
| 2.3308 | 4.0 | 1844 | 0.2797 | 2.1801 | 0.5114 | 0.2679 | 0.4659 |
| 2.1322 | 5.0 | 2305 | 0.2886 | 2.1133 | 0.5264 | 0.2867 | 0.4852 |
| 1.9942 | 6.0 | 2766 | 0.2926 | 2.0649 | 0.5417 | 0.2993 | 0.5003 |
| 1.8884 | 7.0 | 3227 | 0.2967 | 2.0354 | 0.5529 | 0.3108 | 0.5117 |
| 1.8003 | 8.0 | 3688 | 0.2973 | 2.0164 | 0.5597 | 0.3199 | 0.5204 |
| 1.7305 | 9.0 | 4149 | 0.3053 | 2.0036 | 0.5660 | 0.3262 | 0.5266 |
| 1.6672 | 10.0 | 4610 | 0.3072 | 1.9933 | 0.5704 | 0.3319 | 0.5325 |
| 1.6132 | 11.0 | 5071 | 0.3093 | 1.9886 | 0.5737 | 0.3366 | 0.5363 |
| 1.5659 | 12.0 | 5532 | 0.3099 | 1.9834 | 0.5777 | 0.3397 | 0.5396 |
| 1.5659 | 13.0 | 5993 | 0.3117 | 1.9819 | 0.5796 | 0.3423 | 0.5418 |
| 1.5244 | 14.0 | 6454 | 0.3126 | 1.9798 | 0.5833 | 0.3452 | 0.5451 |
| 1.4884 | 15.0 | 6915 | 0.3130 | 1.9793 | 0.5832 | 0.3461 | 0.5454 |
| 1.4594 | 16.0 | 7376 | 0.3133 | 1.9800 | 0.5846 | 0.3469 | 0.5466 |
| 1.4361 | 17.0 | 7837 | 0.3151 | 1.9799 | 0.5865 | 0.3493 | 0.5485 |
| 1.4159 | 18.0 | 8298 | 0.3149 | 1.9809 | 0.5865 | 0.3495 | 0.5486 |
| 1.4159 | 19.0 | 8398 | 0.3099 | 2.0767 | 0.5858 | 0.3476 | 0.5471 |
| 1.6189 | 20.0 | 8840 | 0.3119 | 2.0654 | 0.5862 | 0.3489 | 0.5479 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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