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: 5.4874
  • Validation Loss: 5.5309
  • Epoch: 10

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

Framework versions

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