salemmarah4/t5-base-finetuned-xsum

This model is a fine-tuned version of ThomasSimonini/t5-end2end-question-generation on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.4229
• Validation Loss: 0.2018
• Train Rouge1: 31.6228
• Train Rouge2: 26.9829
• Train Rougel: 30.4108
• Train Rougelsum: 30.6027
• Train Gen Len: 18.9996
• 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': 5e-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
0.4229	0.2018	31.6228	26.9829	30.4108	30.6027	18.9996	0

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Datasets 2.9.0
• Tokenizers 0.13.2