---
license: other
base_model: aubmindlab/aragpt2-large
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_irq_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_irq_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: 0.1727
- Bleu: 0.0581
- Rouge1: 0.3533
- Rouge2: 0.1255
- Rougel: 0.3493

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.1933        | 1.0   | 2113  | 0.1727          | 0.0581 | 0.3533 | 0.1255 | 0.3493 |
| 0.0577        | 2.0   | 4226  | 0.1791          | 0.0870 | 0.4036 | 0.1746 | 0.4004 |
| 0.0436        | 3.0   | 6339  | 0.1794          | 0.0989 | 0.4264 | 0.1938 | 0.4239 |
| 0.0328        | 4.0   | 8452  | 0.1930          | 0.1042 | 0.4350 | 0.2026 | 0.4315 |
| 0.0249        | 5.0   | 10565 | 0.2008          | 0.1122 | 0.4385 | 0.2067 | 0.4361 |
| 0.0201        | 6.0   | 12678 | 0.2092          | 0.1137 | 0.4386 | 0.2117 | 0.4361 |


### Framework versions

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