---
base_model: google/pegasus-multi_news
tags:
- generated_from_keras_callback
model-index:
- name: folflo/pegasus-multi_news-finetuned-HunSum-1_v1208
  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. -->

# folflo/pegasus-multi_news-finetuned-HunSum-1_v1208

This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7129
- Validation Loss: 1.7265
- Epoch: 7

## 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 99664, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.5171     | 2.1168          | 0     |
| 2.0838     | 1.9454          | 1     |
| 1.9380     | 1.8644          | 2     |
| 1.8526     | 1.8065          | 3     |
| 1.7954     | 1.7678          | 4     |
| 1.7555     | 1.7444          | 5     |
| 1.7287     | 1.7307          | 6     |
| 1.7129     | 1.7265          | 7     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.14.0
- Datasets 2.15.0
- Tokenizers 0.15.0