gopalkalpande/t5-small-finetuned-bbc-news-summarization

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: 0.7637
• Validation Loss: 0.3528
• Train Rouge1: 19.4783
• Train Rouge2: 13.2994
• Train Rougel: 17.4791
• Train Rougelsum: 17.6204
• Train Gen Len: 19.0
• 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': 4e-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
0.7637	0.3528	19.4783	13.2994	17.4791	17.6204	19.0	0

Framework versions

• Transformers 4.18.0
• TensorFlow 2.6.4
• Datasets 2.1.0
• Tokenizers 0.12.1