pytorch tensorboard bart text2text-generation transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ainize-kobart-news-eb-finetuned-papers
  results: []
---

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# ainize-kobart-news-eb-finetuned-papers

This model is a fine-tuned version of [ainize/kobart-news](https://huggingface.co/ainize/kobart-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3066
- Rouge1: 14.5433
- Rouge2: 5.2238
- Rougel: 14.4731
- Rougelsum: 14.5183
- Gen Len: 19.9934

## 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: 2e-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
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 0.1918        | 1.0   | 7200  | 0.2403          | 14.6883 | 5.2427 | 14.6306 | 14.6489   | 19.9938 |
| 0.1332        | 2.0   | 14400 | 0.2391          | 14.5165 | 5.2443 | 14.493  | 14.4908   | 19.9972 |
| 0.0966        | 3.0   | 21600 | 0.2539          | 14.758  | 5.4976 | 14.6906 | 14.7188   | 19.9941 |
| 0.0736        | 4.0   | 28800 | 0.2782          | 14.6267 | 5.3371 | 14.5578 | 14.6014   | 19.9934 |
| 0.0547        | 5.0   | 36000 | 0.3066          | 14.5433 | 5.2238 | 14.4731 | 14.5183   | 19.9934 |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
