---
license: other
base_model: aubmindlab/aragpt2-large
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_dj_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_dj_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: 0.0930
- Bleu: 0.1326
- Rouge1: 0.4960
- Rouge2: 0.2713
- Rougel: 0.4923

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.1323        | 1.0   | 5358  | 0.0757          | 0.0830 | 0.4072 | 0.1825 | 0.4035 |
| 0.0662        | 2.0   | 10716 | 0.0718          | 0.1063 | 0.4552 | 0.2232 | 0.4516 |
| 0.0526        | 3.0   | 16074 | 0.0727          | 0.1197 | 0.4753 | 0.2520 | 0.4719 |
| 0.0414        | 4.0   | 21432 | 0.0757          | 0.1274 | 0.4894 | 0.2644 | 0.4862 |
| 0.0325        | 5.0   | 26790 | 0.0819          | 0.1290 | 0.4910 | 0.2671 | 0.4875 |
| 0.0262        | 6.0   | 32148 | 0.0863          | 0.1297 | 0.4922 | 0.2665 | 0.4888 |
| 0.0221        | 7.0   | 37506 | 0.0930          | 0.1326 | 0.4960 | 0.2713 | 0.4923 |


### Framework versions

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