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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_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: 0.4183
- Bleu: 0.2374
- Rouge1: 0.6213
- Rouge2: 0.3630
- Rougel: 0.6195
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 1.9575 | 1.0 | 838 | 0.4805 | 0.1790 | 0.5301 | 0.2585 | 0.5287 |
| 0.422 | 2.0 | 1676 | 0.4327 | 0.2112 | 0.5789 | 0.3115 | 0.5778 |
| 0.331 | 3.0 | 2514 | 0.4185 | 0.2289 | 0.6067 | 0.3463 | 0.6056 |
| 0.2638 | 4.0 | 3352 | 0.4183 | 0.2374 | 0.6213 | 0.3630 | 0.6195 |
| 0.2131 | 5.0 | 4190 | 0.4248 | 0.2423 | 0.6280 | 0.3719 | 0.6265 |
| 0.1756 | 6.0 | 5028 | 0.4323 | 0.2511 | 0.6329 | 0.3818 | 0.6312 |
| 0.148 | 7.0 | 5866 | 0.4369 | 0.2458 | 0.6347 | 0.3891 | 0.6327 |
| 0.1285 | 8.0 | 6704 | 0.4448 | 0.2499 | 0.6380 | 0.3885 | 0.6368 |
| 0.1152 | 9.0 | 7542 | 0.4525 | 0.2539 | 0.6407 | 0.3977 | 0.6393 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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