quocbao10202/distilbart-cnn-12-6-finetuned-xsum

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.9463
• Validation Loss: 1.9933
• Train Rouge1: 23.3111
• Train Rouge2: 7.5016
• Train Rougel: 19.6282
• Train Rougelsum: 19.6282
• Train Gen Len: 62.0
• 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
0.9463	1.9933	23.3111	7.5016	19.6282	19.6282	62.0	0

Framework versions

• Transformers 4.39.3
• TensorFlow 2.18.0
• Datasets 2.21.0
• Tokenizers 0.15.2