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Prototypeu/bart-base-finetuned-tldrhq-cnn-dailymail
This model is a fine-tuned version of Prototypeu/bart-base-finetuned-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.5049
- Train Logits Loss: 1.5049
- Train Rouge1: 28.1795
- Train Rouge2: 14.0392
- Train Rougel: 23.7617
- Train Rougelsum: 26.5583
- Train Gen Len: 19.0
- Epoch: 4
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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 3e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 255113, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 32000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.98, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Train Logits Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.9074 | 2.9074 | 26.9164 | 12.6984 | 22.4321 | 25.2287 | 19.0 | 0 |
| 1.9368 | 1.9368 | 28.0165 | 13.8906 | 23.4187 | 26.3779 | 19.0 | 1 |
| 1.7246 | 1.7246 | 27.6022 | 13.5255 | 23.2301 | 25.9923 | 19.0 | 2 |
| 1.5945 | 1.5945 | 28.0347 | 13.7045 | 23.4851 | 26.3488 | 19.0 | 3 |
| 1.5049 | 1.5049 | 28.1795 | 14.0392 | 23.7617 | 26.5583 | 19.0 | 4 |
Framework versions
- Transformers 4.17.0
- TensorFlow 2.6.0
- Datasets 2.0.0
- Tokenizers 0.11.6
