---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/BartBali2Indo
  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/BartBali2Indo

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: 0.0023
- Validation Loss: 2.8624
- Epoch: 56

## 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 |
|:----------:|:---------------:|:-----:|
| 0.0020     | 2.8075          | 0     |
| 0.0024     | 2.8006          | 1     |
| 0.0027     | 2.8418          | 2     |
| 0.0021     | 2.8171          | 3     |
| 0.0023     | 2.7964          | 4     |
| 0.0027     | 2.8319          | 5     |
| 0.0018     | 2.8167          | 6     |
| 0.0022     | 2.8269          | 7     |
| 0.0021     | 2.8194          | 8     |
| 0.0020     | 2.8213          | 9     |
| 0.0018     | 2.8459          | 10    |
| 0.0022     | 2.8367          | 11    |
| 0.0018     | 2.7985          | 12    |
| 0.0019     | 2.8249          | 13    |
| 0.0026     | 2.8372          | 14    |
| 0.0024     | 2.8388          | 15    |
| 0.0023     | 2.8350          | 16    |
| 0.0023     | 2.8429          | 17    |
| 0.0024     | 2.7952          | 18    |
| 0.0028     | 2.7758          | 19    |
| 0.0025     | 2.8287          | 20    |
| 0.0025     | 2.8150          | 21    |
| 0.0030     | 2.8394          | 22    |
| 0.0019     | 2.7969          | 23    |
| 0.0018     | 2.8244          | 24    |
| 0.0026     | 2.8472          | 25    |
| 0.0017     | 2.8750          | 26    |
| 0.0021     | 2.8316          | 27    |
| 0.0018     | 2.8080          | 28    |
| 0.0018     | 2.8333          | 29    |
| 0.0031     | 2.8716          | 30    |
| 0.0024     | 2.8551          | 31    |
| 0.0027     | 2.8611          | 32    |
| 0.0031     | 2.8276          | 33    |
| 0.0030     | 2.8264          | 34    |
| 0.0025     | 2.8764          | 35    |
| 0.0023     | 2.8492          | 36    |
| 0.0037     | 2.8445          | 37    |
| 0.0024     | 2.8607          | 38    |
| 0.0024     | 2.8460          | 39    |
| 0.0021     | 2.8844          | 40    |
| 0.0031     | 2.8310          | 41    |
| 0.0031     | 2.8714          | 42    |
| 0.0034     | 2.8768          | 43    |
| 0.0028     | 2.8641          | 44    |
| 0.0023     | 2.8253          | 45    |
| 0.0025     | 2.8205          | 46    |
| 0.0024     | 2.8318          | 47    |
| 0.0019     | 2.8558          | 48    |
| 0.0017     | 2.8302          | 49    |
| 0.0017     | 2.8587          | 50    |
| 0.0021     | 2.8501          | 51    |
| 0.0019     | 2.8433          | 52    |
| 0.0017     | 2.8747          | 53    |
| 0.0021     | 2.8454          | 54    |
| 0.0018     | 2.8685          | 55    |
| 0.0023     | 2.8624          | 56    |


### Framework versions

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