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s-man2099/fblc-1000
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.7780
- Validation Loss: 3.5367
- 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 |
|---|---|---|
| 3.6412 | 3.5800 | 0 |
| 3.4101 | 3.5235 | 1 |
| 3.2777 | 3.5013 | 2 |
| 3.1688 | 3.4972 | 3 |
| 3.0803 | 3.4901 | 4 |
| 2.9866 | 3.5084 | 5 |
| 2.8833 | 3.5218 | 6 |
| 2.8039 | 3.5290 | 7 |
| 2.7741 | 3.5326 | 8 |
| 2.7780 | 3.5367 | 9 |
Framework versions
- Transformers 4.34.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
