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LucaReggiani/
t5-small-nlpfinalproject-xsum

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

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The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1.9e-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

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.8680	3.3244	18.4638	2.7676	14.7005	14.7614	18.64	0
3.5175	3.1977	20.3854	3.7061	15.7454	15.6946	18.25	1
3.4145	3.1415	22.1411	4.2107	16.9111	16.8849	18.54	2
3.3473	3.1096	21.8021	4.4683	16.6056	16.5965	18.3	3
3.2811	3.0854	22.6308	4.9619	17.5478	17.5354	18.66	4