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

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: 5.4576
- Validation Loss: 6.0051
- 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': 0.02, '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 |
|:----------:|:---------------:|:-----:|
| 9.3368     | 5.6757          | 0     |
| 5.5627     | 5.5987          | 1     |
| 5.5311     | 5.5419          | 2     |
| 5.5152     | 5.5201          | 3     |
| 5.5005     | 5.6477          | 4     |
| 5.4704     | 5.5914          | 5     |
| 5.4610     | 6.0922          | 6     |
| 5.4584     | 5.7137          | 7     |
| 5.4528     | 5.8658          | 8     |
| 5.4820     | 5.5628          | 9     |
| 5.4874     | 5.5309          | 10    |
| 5.4917     | 5.7595          | 11    |
| 5.4898     | 5.7333          | 12    |
| 5.4833     | 5.6789          | 13    |
| 5.4767     | 5.9588          | 14    |
| 5.4883     | 5.9895          | 15    |
| 5.4694     | 6.0100          | 16    |
| 5.4663     | 6.0316          | 17    |
| 5.4602     | 5.9233          | 18    |
| 5.4576     | 6.0051          | 19    |


### Framework versions

- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1