tthabibe/t5-small-finetuned-xsum

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

• Train Loss: 2.8595
• Validation Loss: 2.9809
• Train Rouge1: 25.7762
• Train Rouge2: 6.4553
• Train Rougel: 20.7431
• Train Rougelsum: 20.7595
• Train Gen Len: 18.6696
• 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': 0.002, '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
2.8595	2.9809	25.7762	6.4553	20.7431	20.7595	18.6696	0

Framework versions

• Transformers 4.26.0
• TensorFlow 2.10.0
• Datasets 2.9.0
• Tokenizers 0.11.0