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gpt2-pos-neg-vibe
This model is a fine-tuned version of indonesian-nlp/gpt2-medium-indonesian on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.5004
- Epoch: 14
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: {'inner_optimizer': {'module': 'keras.optimizers', 'class_name': 'Adam', 'config': {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 375, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}, 'registered_name': None}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16
Training results
| Train Loss | Epoch |
|---|---|
| 5.9419 | 0 |
| 3.7470 | 1 |
| 2.8806 | 2 |
| 2.4959 | 3 |
| 2.5001 | 4 |
| 2.5031 | 5 |
| 2.4947 | 6 |
| 2.4993 | 7 |
| 2.5025 | 8 |
| 2.4977 | 9 |
| 2.5018 | 10 |
| 2.4995 | 11 |
| 2.4963 | 12 |
| 2.5009 | 13 |
| 2.5004 | 14 |
Framework versions
- Transformers 4.33.3
- TensorFlow 2.13.0
- Tokenizers 0.13.3
