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-xsum
  results: []
---

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# ainize-kobart-news-eb-finetuned-xsum

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: 0.2147
- Rouge1: 60.732
- Rouge2: 39.1933
- Rougel: 60.6507
- Rougelsum: 60.6712
- Gen Len: 19.3417

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.0649        | 1.0   | 749  | 0.5502          | 56.6571 | 36.5992 | 56.6185 | 56.6364   | 19.2929 |
| 0.7103        | 2.0   | 1498 | 0.3904          | 59.1212 | 38.3611 | 59.093  | 59.1191   | 19.31   |
| 0.4723        | 3.0   | 2247 | 0.2922          | 60.1133 | 38.7819 | 60.0439 | 60.0572   | 19.2659 |
| 0.3841        | 4.0   | 2996 | 0.2367          | 60.4405 | 39.0176 | 60.366  | 60.4057   | 19.3397 |
| 0.3091        | 5.0   | 3745 | 0.2147          | 60.732  | 39.1933 | 60.6507 | 60.6712   | 19.3417 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
