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:

• Train Loss: 3.5850
• Validation Loss: 3.2639
• Train Rouge1: 18.8102
• Train Rouge2: 2.7207
• Train Rougel: 15.0053
• Train Rougelsum: 15.0497
• Train Gen Len: 18.64
• Epoch: 10

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': '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

Training results

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

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.0
• Tokenizers 0.13.2