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: 5.4693
- Validation Loss: 5.9321
- Epoch: 49
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 |
5.4883 | 5.9895 | 15 |
5.4694 | 6.0100 | 16 |
5.4663 | 6.0316 | 17 |
5.4602 | 5.9233 | 18 |
5.4576 | 6.0051 | 19 |
5.4559 | 5.9966 | 20 |
5.4651 | 6.0025 | 21 |
5.4660 | 6.0160 | 22 |
5.4626 | 5.8324 | 23 |
5.4647 | 5.8383 | 24 |
5.4695 | 6.0272 | 25 |
5.4614 | 6.0724 | 26 |
5.4623 | 5.9454 | 27 |
5.4678 | 6.0196 | 28 |
5.4860 | 5.5949 | 29 |
5.4851 | 5.8838 | 30 |
5.4666 | 5.8506 | 31 |
5.4715 | 6.0391 | 32 |
5.4630 | 6.0870 | 33 |
5.4646 | 6.2195 | 34 |
5.4574 | 5.9696 | 35 |
5.4564 | 5.8970 | 36 |
5.4570 | 5.9522 | 37 |
5.4559 | 6.1518 | 38 |
5.4584 | 6.1860 | 39 |
5.4732 | 6.1168 | 40 |
5.4625 | 6.1588 | 41 |
5.4601 | 5.9868 | 42 |
5.4645 | 5.9606 | 43 |
5.4664 | 6.1495 | 44 |
5.4698 | 6.0152 | 45 |
5.4666 | 6.2713 | 46 |
5.4557 | 6.2708 | 47 |
5.4557 | 6.0003 | 48 |
5.4693 | 5.9321 | 49 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1