---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: finetune-newwiki-summarization-ver2
  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. -->

# finetune-newwiki-summarization-ver2

This model is a fine-tuned version of [minnehwg/finetune-newwiki-summarization-ver1](https://huggingface.co/minnehwg/finetune-newwiki-summarization-ver1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4697
- Rouge1: 48.1659
- Rouge2: 25.1491
- Rougel: 34.7794
- Rougelsum: 37.0893

## 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: 1e-06
- 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_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 0.4912        | 1.0   | 990  | 0.4701          | 48.1754 | 25.0221 | 34.7613 | 37.0734   |
| 0.4748        | 2.0   | 1980 | 0.4694          | 48.3629 | 25.3649 | 35.0239 | 37.3084   |
| 0.4755        | 3.0   | 2970 | 0.4695          | 48.2770 | 25.1907 | 34.8456 | 37.1930   |
| 0.4703        | 4.0   | 3960 | 0.4696          | 48.1801 | 25.1769 | 34.8004 | 37.0817   |
| 0.468         | 5.0   | 4950 | 0.4697          | 48.1659 | 25.1491 | 34.7794 | 37.0893   |


### Framework versions

- Transformers 4.17.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2