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

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: 5.5354
- Validation Loss: 5.5689
- Epoch: 67

## 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 |
|:----------:|:---------------:|:-----:|
| 9.7885     | 5.6003          | 0     |
| 5.5737     | 5.5523          | 1     |
| 5.5346     | 5.5361          | 2     |
| 5.5189     | 5.5283          | 3     |
| 5.5149     | 5.5252          | 4     |
| 5.5123     | 5.5233          | 5     |
| 5.5116     | 5.5485          | 6     |
| 5.5095     | 5.5314          | 7     |
| 5.5120     | 5.5569          | 8     |
| 5.5137     | 5.5239          | 9     |
| 5.5170     | 5.5289          | 10    |
| 5.5180     | 5.5298          | 11    |
| 5.5217     | 5.5513          | 12    |
| 5.5219     | 5.5344          | 13    |
| 5.5248     | 5.5366          | 14    |
| 5.5268     | 5.5493          | 15    |
| 5.5260     | 5.5313          | 16    |
| 5.5290     | 5.5462          | 17    |
| 5.5299     | 5.5570          | 18    |
| 5.5293     | 5.5480          | 19    |
| 5.5378     | 5.5524          | 20    |
| 5.5317     | 5.5740          | 21    |
| 5.5328     | 5.5543          | 22    |
| 5.5327     | 5.5537          | 23    |
| 5.5330     | 5.5356          | 24    |
| 5.5304     | 5.5492          | 25    |
| 5.5355     | 5.5388          | 26    |
| 5.5337     | 5.5812          | 27    |
| 5.5355     | 5.5598          | 28    |
| 5.5348     | 5.5489          | 29    |
| 5.5373     | 5.5526          | 30    |
| 5.5357     | 5.5575          | 31    |
| 5.5377     | 5.5439          | 32    |
| 5.5404     | 5.5367          | 33    |
| 5.5383     | 5.5819          | 34    |
| 5.5359     | 5.5815          | 35    |
| 5.5370     | 5.5499          | 36    |
| 5.5340     | 5.5622          | 37    |
| 5.5373     | 5.5667          | 38    |
| 5.5360     | 5.5548          | 39    |
| 5.5327     | 5.5555          | 40    |
| 5.5365     | 5.5642          | 41    |
| 5.5375     | 5.5496          | 42    |
| 5.5336     | 5.5424          | 43    |
| 5.5359     | 5.5761          | 44    |
| 5.5360     | 5.5821          | 45    |
| 5.5362     | 5.5742          | 46    |
| 5.5352     | 5.5635          | 47    |
| 5.5335     | 5.5507          | 48    |
| 5.5340     | 5.5613          | 49    |
| 5.5368     | 5.5599          | 50    |
| 5.5375     | 5.5541          | 51    |
| 5.5368     | 5.5536          | 52    |
| 5.5366     | 5.5438          | 53    |
| 5.5363     | 5.5497          | 54    |
| 5.5364     | 5.5721          | 55    |
| 5.5388     | 5.5493          | 56    |
| 5.5361     | 5.5719          | 57    |
| 5.5372     | 5.5920          | 58    |
| 5.5346     | 5.5534          | 59    |
| 5.5354     | 5.5526          | 60    |
| 5.5357     | 5.5788          | 61    |
| 5.5370     | 5.5531          | 62    |
| 5.5374     | 5.5613          | 63    |
| 5.5366     | 5.5585          | 64    |
| 5.5370     | 5.5652          | 65    |
| 5.5354     | 5.5463          | 66    |
| 5.5354     | 5.5689          | 67    |


### Framework versions

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