mohammedbriman/t5-small-finetuned-cnn-dm

This model is a fine-tuned version of t5-small on CNN/DailyMail dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.1086
• Validation Loss: 1.0703
• Train Rouge1: 24.2706
• Train Rouge2: 11.6659
• Train Rougel: 20.0926
• Train Rougelsum: 20.1515
• Train Gen Len: 18.9998
• Epoch: 1

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
1.1086	1.0703	24.2706	11.6659	20.0926	20.1515	18.9998	1

Framework versions

• Transformers 4.21.2
• TensorFlow 2.8.2
• Datasets 2.4.0
• Tokenizers 0.12.1