---
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: 5.4607
- Validation Loss: 6.1158
- Epoch: 61

## 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    |
| 5.4559     | 5.9966          | 20    |
| 5.4651     | 6.0025          | 21    |
| 5.4660     | 6.0160          | 22    |
| 5.4626     | 5.8324          | 23    |
| 5.4647     | 5.8383          | 24    |
| 5.4695     | 6.0272          | 25    |
| 5.4614     | 6.0724          | 26    |
| 5.4623     | 5.9454          | 27    |
| 5.4678     | 6.0196          | 28    |
| 5.4860     | 5.5949          | 29    |
| 5.4851     | 5.8838          | 30    |
| 5.4666     | 5.8506          | 31    |
| 5.4715     | 6.0391          | 32    |
| 5.4630     | 6.0870          | 33    |
| 5.4646     | 6.2195          | 34    |
| 5.4574     | 5.9696          | 35    |
| 5.4564     | 5.8970          | 36    |
| 5.4570     | 5.9522          | 37    |
| 5.4559     | 6.1518          | 38    |
| 5.4584     | 6.1860          | 39    |
| 5.4732     | 6.1168          | 40    |
| 5.4625     | 6.1588          | 41    |
| 5.4601     | 5.9868          | 42    |
| 5.4645     | 5.9606          | 43    |
| 5.4664     | 6.1495          | 44    |
| 5.4698     | 6.0152          | 45    |
| 5.4666     | 6.2713          | 46    |
| 5.4557     | 6.2708          | 47    |
| 5.4557     | 6.0003          | 48    |
| 5.4693     | 5.9321          | 49    |
| 5.4928     | 5.8971          | 50    |
| 5.5032     | 6.0766          | 51    |
| 5.4749     | 5.8919          | 52    |
| 5.4689     | 5.9853          | 53    |
| 5.4665     | 5.9329          | 54    |
| 5.4574     | 5.9770          | 55    |
| 5.4686     | 6.1022          | 56    |
| 5.4727     | 5.8973          | 57    |
| 5.4692     | 5.9633          | 58    |
| 5.4608     | 6.0480          | 59    |
| 5.4613     | 5.9596          | 60    |
| 5.4607     | 6.1158          | 61    |


### Framework versions

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