Arezo93/my_awesome_billsum_model

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

• Train Loss: 3.2664
• Validation Loss: 2.9894
• Train Rouge1: 0.1347
• Train Rouge2: 0.0421
• Train Rougel: 0.1112
• Train Rougelsum: 0.1112
• 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': 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
4.2020	3.4100	0.1359	0.0453	0.114	0.1142	19.0	0
3.4714	3.1392	0.1263	0.0381	0.1055	0.1058	19.0	1
3.2664	2.9894	0.1347	0.0421	0.1112	0.1112	19.0	2

Framework versions

• Transformers 4.42.4
• TensorFlow 2.15.0
• Datasets 2.20.0
• Tokenizers 0.19.1