NMTBaliIndoBART / README.md
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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: 5.4614
  • Validation Loss: 6.0724
  • Epoch: 26

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

Framework versions

  • Transformers 4.40.2
  • TensorFlow 2.15.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1