README.md

---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: ko-news-summarization
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# ko-news-summarization

This model is a fine-tuned version of [psyche/KoT5-summarization](https://huggingface.co./psyche/KoT5-summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9267
- Validation Loss: 1.2897
- Train Rougel: tf.Tensor(0.39195082, shape=(), dtype=float32)
- Epoch: 6

## 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:
- optimizer: {'name': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rougel                                   | Epoch |
|:----------:|:---------------:|:----------------------------------------------:|:-----:|
| 1.2735     | 1.2266          | tf.Tensor(0.38460648, shape=(), dtype=float32) | 0     |
| 1.2050     | 1.2290          | tf.Tensor(0.38383868, shape=(), dtype=float32) | 1     |
| 1.1428     | 1.2320          | tf.Tensor(0.38434482, shape=(), dtype=float32) | 2     |
| 1.0866     | 1.2497          | tf.Tensor(0.38514885, shape=(), dtype=float32) | 3     |
| 1.0311     | 1.2612          | tf.Tensor(0.3883608, shape=(), dtype=float32)  | 4     |
| 0.9740     | 1.2713          | tf.Tensor(0.39306718, shape=(), dtype=float32) | 5     |
| 0.9267     | 1.2897          | tf.Tensor(0.39195082, shape=(), dtype=float32) | 6     |


### Framework versions

- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2