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LucaReggiani/
t5-small-nlpfinalprojectFinal-xsum

Name: t5-small-nlpfinalprojectFinal-xsum
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LucaReggiani/t5-small-nlpfinalprojectFinal-xsum

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

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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

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.8756	3.3188	0.2061	0.0431	0.1546	0.1552	18.73	0
3.5085	3.1797	0.2136	0.0476	0.1684	0.1689	18.15	1
3.3992	3.1213	0.2087	0.0436	0.1704	0.1708	18.15	2
3.3368	3.0864	0.2237	0.0497	0.1762	0.1767	18.45	3
3.2760	3.0625	0.2301	0.0509	0.1794	0.1794	18.48	4
3.2278	3.0434	0.2254	0.0476	0.1814	0.1816	18.39	5
3.2016	3.0312	0.2288	0.0492	0.1822	0.1820	18.54	6