CharlieP/t5-small-nlpfinalproject-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: 3.2391
• Validation Loss: 3.0511
• Train Rouge1: 21.2434
• Train Rouge2: 4.0808
• Train Rougel: 16.6836
• Train Rougelsum: 16.6460
• Train Gen Len: 18.42
• Epoch: 4

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
3.8204	3.2757	18.2829	2.7616	14.7101	14.7047	18.59	0
3.4646	3.1560	20.4371	3.6903	16.0587	16.0790	18.35	1
3.3630	3.1028	20.7907	3.9282	15.9696	15.8916	18.42	2
3.2904	3.0713	21.6980	4.3218	16.7261	16.6776	18.42	3
3.2391	3.0511	21.2434	4.0808	16.6836	16.6460	18.42	4

Framework versions

• Transformers 4.23.1
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.1