NMTIndoBaliBART / 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/NMTIndoBaliBART
    results: []

pijarcandra22/NMTIndoBaliBART

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: 5.5355
  • Validation Loss: 5.5388
  • 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
9.7885 5.6003 0
5.5737 5.5523 1
5.5346 5.5361 2
5.5189 5.5283 3
5.5149 5.5252 4
5.5123 5.5233 5
5.5116 5.5485 6
5.5095 5.5314 7
5.5120 5.5569 8
5.5137 5.5239 9
5.5170 5.5289 10
5.5180 5.5298 11
5.5217 5.5513 12
5.5219 5.5344 13
5.5248 5.5366 14
5.5268 5.5493 15
5.5260 5.5313 16
5.5290 5.5462 17
5.5299 5.5570 18
5.5293 5.5480 19
5.5378 5.5524 20
5.5317 5.5740 21
5.5328 5.5543 22
5.5327 5.5537 23
5.5330 5.5356 24
5.5304 5.5492 25
5.5355 5.5388 26

Framework versions

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