---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliT5
  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/NMTIndoBaliT5

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 1.7902
- Validation Loss: 1.7165
- Epoch: 9

## 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': 1e-04, '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 |
|:----------:|:---------------:|:-----:|
| 3.2881     | 2.6852          | 0     |
| 2.7514     | 2.4004          | 1     |
| 2.5012     | 2.2171          | 2     |
| 2.3252     | 2.0959          | 3     |
| 2.1930     | 1.9901          | 4     |
| 2.0837     | 1.9130          | 5     |
| 1.9912     | 1.8452          | 6     |
| 1.9107     | 1.7974          | 7     |
| 1.8459     | 1.7521          | 8     |
| 1.7902     | 1.7165          | 9     |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2