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LucaReggiani/
t5-small-12nlpfinalproject15-xsum

Name: t5-small-12nlpfinalproject15-xsum
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LucaReggiani/t5-small-12nlpfinalproject15-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': 'Adam', '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': 5e-06, 'beta_1': 0.9, 'beta_2': 0.98, 'epsilon': 1e-06, 'amsgrad': False}
training_precision: float32

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
4.2808	4.0689	16.0766	2.2326	13.0430	13.1934	18.94	0
4.1592	3.9169	16.3671	2.1832	13.1457	13.1612	18.94	1
4.0568	3.7837	16.9390	2.4651	13.4669	13.3983	18.94	2
3.9491	3.6722	17.5351	2.5526	13.6178	13.5941	19.0	3
3.8595	3.5787	17.1791	2.2937	13.4932	13.6093	18.93	4
3.7966	3.4995	17.3785	2.5408	13.3783	13.5736	18.98	5
3.7362	3.4312	18.1473	2.7662	14.0010	14.1828	18.99	6
3.6869	3.3778	17.7556	2.6157	13.9773	13.9192	18.8	7
3.6454	3.3323	18.1910	2.3216	14.3097	14.3738	18.76	8
3.5987	3.2942	18.3254	2.5627	14.6577	14.7984	18.73	9
3.5850	3.2639	18.8102	2.7207	15.0053	15.0497	18.64	10