metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTBaliIndoBART
results: []
pijarcandra22/NMTBaliIndoBART
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.4767
- Validation Loss: 5.9588
- Epoch: 14
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 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1