LucaReggiani/t5-small-nlpfinalprojectFinal_2-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: 3.1437
• Validation Loss: 3.0238
• Train Rouge1: 0.2336
• Train Rouge2: 0.0519
• Train Rougel: 0.1789
• Train Rougelsum: 0.1789
• Train Gen Len: 18.45
• Epoch: 7

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': 0.1}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.8777	3.3196	0.2048	0.0442	0.1547	0.1560	18.75	0
3.5167	3.1758	0.2102	0.0457	0.1670	0.1676	18.24	1
3.3968	3.1202	0.2077	0.0439	0.1680	0.1681	18.11	2
3.3297	3.0883	0.2135	0.0444	0.1710	0.1710	18.52	3
3.2789	3.0664	0.2274	0.0500	0.1792	0.1788	18.44	4
3.2279	3.0473	0.2283	0.0510	0.1786	0.1787	18.34	5
3.1857	3.0342	0.2327	0.0534	0.1816	0.1817	18.42	6
3.1437	3.0238	0.2336	0.0519	0.1789	0.1789	18.45	7

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2