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