mynew-summarization-model
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: 0.5380
- Validation Loss: 4.0774
- Epoch: 2
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': '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': np.float32(5e-05), 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.3902 | 3.0332 | 0 |
| 0.8656 | 3.5530 | 1 |
| 0.5380 | 4.0774 | 2 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.19.0
- Datasets 4.0.0
- Tokenizers 0.19.1
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Base model
facebook/bart-large-cnn