TestZee/t5-base-finetuned-short-news-t5-base2

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

• Train Loss: 1.9039
• Validation Loss: 2.0694
• Train Rouge1: 29.4899
• Train Rouge2: 13.4106
• Train Rougel: 25.9621
• Train Rougelsum: 26.4759
• Train Gen Len: 19.0
• Epoch: 2

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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.3789	2.3642	29.2164	12.2894	25.0497	25.0582	19.0	0
2.0565	2.1861	27.9591	11.8954	24.6681	25.1984	19.0	1
1.9039	2.0694	29.4899	13.4106	25.9621	26.4759	19.0	2

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3