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metadata
tags:
  - generated_from_keras_callback
model-index:
  - name: pegasus-indonesian-base_finetune
    results: []

pegasus-indonesian-base_finetune

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.6196
  • Train Accuracy: 0.1079
  • Validation Loss: 1.4097
  • Validation Accuracy: 0.1153
  • Train Lr: 0.00013661868
  • Epoch: 1

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': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 0.00013661868, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Train Lr Epoch
2.3484 0.0859 1.6304 0.1080 0.00013661868 0
1.6196 0.1079 1.4097 0.1153 0.00013661868 1

Framework versions

  • Transformers 4.30.2
  • TensorFlow 2.12.0
  • Datasets 2.13.1
  • Tokenizers 0.13.3