---
license: other
base_model: aubmindlab/aragpt2-large
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_yem_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_yem_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: 0.0469
- Bleu: 0.0733
- Rouge1: 0.3956
- Rouge2: 0.1677
- Rougel: 0.3901

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.8644        | 1.0   | 305  | 0.0499          | 0.0310 | 0.2976 | 0.0825 | 0.2932 |
| 0.0439        | 2.0   | 610  | 0.0469          | 0.0733 | 0.3956 | 0.1677 | 0.3901 |
| 0.0307        | 3.0   | 915  | 0.0474          | 0.0901 | 0.4411 | 0.2093 | 0.4361 |
| 0.0212        | 4.0   | 1220 | 0.0497          | 0.1039 | 0.4643 | 0.2315 | 0.4591 |
| 0.016         | 5.0   | 1525 | 0.0541          | 0.0923 | 0.4641 | 0.2229 | 0.4600 |
| 0.0134        | 6.0   | 1830 | 0.0531          | 0.1160 | 0.4746 | 0.2503 | 0.4699 |
| 0.0118        | 7.0   | 2135 | 0.0578          | 0.1113 | 0.4976 | 0.2714 | 0.4940 |


### Framework versions

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