---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/BartIndo2Bali
  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. -->

# pijarcandra22/BartIndo2Bali

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.6177
- Validation Loss: 2.1061
- Epoch: 19

## 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 | Epoch |
|:----------:|:---------------:|:-----:|
| 4.3767     | 3.6194          | 0     |
| 3.5364     | 3.1996          | 1     |
| 3.1525     | 2.9458          | 2     |
| 2.8777     | 2.8118          | 3     |
| 2.6993     | 2.6979          | 4     |
| 2.5550     | 2.6071          | 5     |
| 2.4536     | 2.5362          | 6     |
| 2.3338     | 2.4572          | 7     |
| 2.2394     | 2.3878          | 8     |
| 2.1466     | 2.3692          | 9     |
| 2.0795     | 2.3189          | 10    |
| 2.0061     | 2.2674          | 11    |
| 1.9321     | 2.2393          | 12    |
| 1.8837     | 2.2181          | 13    |
| 1.8224     | 2.2002          | 14    |
| 1.7626     | 2.1671          | 15    |
| 1.7251     | 2.1386          | 16    |
| 1.6624     | 2.1245          | 17    |
| 1.6191     | 2.1134          | 18    |
| 1.6177     | 2.1061          | 19    |


### Framework versions

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