---
license: other
base_model: aubmindlab/aragpt2-large
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_gulf_aragpt2-large
  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_aragpt2-large

This model is a fine-tuned version of [aubmindlab/aragpt2-large](https://huggingface.co/aubmindlab/aragpt2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0472
- Bleu: 0.0632
- Rouge1: 0.4039
- Rouge2: 0.1633
- Rougel: 0.4013

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.2041        | 1.0   | 1672  | 0.0487          | 0.0445 | 0.3745 | 0.1302 | 0.3718 |
| 0.0404        | 2.0   | 3344  | 0.0472          | 0.0632 | 0.4039 | 0.1633 | 0.4013 |
| 0.0301        | 3.0   | 5016  | 0.0480          | 0.0763 | 0.4339 | 0.2002 | 0.4322 |
| 0.0232        | 4.0   | 6688  | 0.0515          | 0.0843 | 0.4535 | 0.2192 | 0.4517 |
| 0.0189        | 5.0   | 8360  | 0.0538          | 0.0876 | 0.4654 | 0.2299 | 0.4638 |
| 0.0164        | 6.0   | 10032 | 0.0572          | 0.0930 | 0.4675 | 0.2370 | 0.4653 |
| 0.0148        | 7.0   | 11704 | 0.0583          | 0.0918 | 0.4656 | 0.2308 | 0.4636 |


### Framework versions

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