bart-base-finetuned-tldrhq-cnn-dailymail

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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

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.0
• Datasets 2.0.0
• Tokenizers 0.11.6