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LucaReggiani/
t5-small-nlpfinalproject77-xsum

Name: t5-small-nlpfinalproject77-xsum
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LucaReggiani/t5-small-nlpfinalproject77-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': 'SGD', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.01, 'momentum': 0.9, 'nesterov': False}
training_precision: float32

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.7711	3.2050	21.4378	3.8309	16.8638	16.8461	17.91	0
3.6104	3.6987	19.2609	3.2385	15.7661	15.7653	18.53	1
4.0072	3.5355	18.1665	3.2252	14.8050	14.7179	17.72	2
3.7558	3.3357	20.2834	3.3265	15.8726	15.8640	18.41	3
3.5929	3.2442	21.7618	4.0454	16.9764	16.9738	18.32	4
4.2933	4.5266	11.2148	0.9346	9.6743	9.6997	18.14	5
4.6557	4.4097	10.1267	0.9146	9.0568	9.0328	18.95	6
4.5603	4.3567	13.1331	1.6382	11.1522	11.1925	18.61	7