s-man2099/gpl-1500
This model is a fine-tuned version of google/pegasus-large on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.1674
- Validation Loss: 3.4953
- Epoch: 9
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': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
- training_precision: mixed_float16
Training results
| Train Loss |
Validation Loss |
Epoch |
| 3.9497 |
3.5189 |
0 |
| 3.6923 |
3.4731 |
1 |
| 3.5513 |
3.4603 |
2 |
| 3.4677 |
3.4661 |
3 |
| 3.3892 |
3.4678 |
4 |
| 3.3222 |
3.4794 |
5 |
| 3.2575 |
3.4887 |
6 |
| 3.1904 |
3.4914 |
7 |
| 3.1848 |
3.4940 |
8 |
| 3.1674 |
3.4953 |
9 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
