---
library_name: transformers
license: apache-2.0
base_model: thonyyy/pegasus_indonesian_base-finetune
tags:
- generated_from_keras_callback
model-index:
- name: arthd24/pegasus_informative_tuned_10k
  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. -->

# arthd24/pegasus_informative_tuned_10k

This model is a fine-tuned version of [thonyyy/pegasus_indonesian_base-finetune](https://huggingface.co/thonyyy/pegasus_indonesian_base-finetune) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.4937
- Validation Loss: 1.3131
- Train Rouge1: 0.4981
- Train Rouge2: 0.3507
- Train Rougel: 0.4661
- Train Rougelsum: 0.4663
- Train Bertscore F1: 0.7987
- Train Gen Len: 17.8158
- Epoch: 0

## 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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Bertscore F1 | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:------------------:|:-------------:|:-----:|
| 1.4937     | 1.3131          | 0.4981       | 0.3507       | 0.4661       | 0.4663          | 0.7987             | 17.8158       | 0     |


### Framework versions

- Transformers 4.46.2
- TensorFlow 2.16.1
- Datasets 3.1.0
- Tokenizers 0.20.0