LucaReggiani/t5-small-nlpfinalproject100-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: 3.3675
• Validation Loss: 3.0731
• Train Rouge1: 21.6320
• Train Rouge2: 4.1815
• Train Rougel: 16.7880
• Train Rougelsum: 16.8075
• Train Gen Len: 18.26
• 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': 3e-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
4.0261	3.4861	17.2949	2.5214	13.5817	13.5711	19.0	0
3.6457	3.2367	19.3042	3.2474	15.8225	15.8589	18.65	1
3.4972	3.1544	20.2614	3.5380	15.8853	15.8671	18.37	2
3.4228	3.1064	21.7547	4.0283	16.4961	16.4831	18.41	3
3.3675	3.0731	21.6320	4.1815	16.7880	16.8075	18.26	4

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.0
• Tokenizers 0.13.2