metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliT5
results: []
pijarcandra22/NMTIndoBaliT5
This model is a fine-tuned version of 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