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leonardo-simao/bart-large-finetuned-samsum
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.6441
- Validation Loss: 1.4399
- Train Rouge1: 47.6702
- Train Rouge2: 25.6195
- Train Rougel: 40.2658
- Train Rougelsum: 44.0202
- Train Gen Len: 18.5709
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 1.6441 | 1.4399 | 47.6702 | 25.6195 | 40.2658 | 44.0202 | 18.5709 | 0 |
Framework versions
- Transformers 4.27.4
- TensorFlow 2.11.0
- Datasets 2.11.0
- Tokenizers 0.13.3
