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bart-1
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.8511
- Validation Loss: 2.1184
- Train Rouge1: 0.3060
- Train Rouge2: 0.1137
- Train Rougel: 0.2614
- Epoch: 0
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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Epoch |
|---|---|---|---|---|---|
| 2.8511 | 2.1184 | 0.3060 | 0.1137 | 0.2614 | 0 |
Framework versions
- Transformers 4.33.0
- TensorFlow 2.10.1
- Datasets 2.14.4
- Tokenizers 0.13.3
