pablo-chocobar/xsum_headlines_t5small

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: 2.8756
• Validation Loss: 2.6937
• Train Rouge1: 0.2334
• Train Rouge2: 0.0495
• Train Rougel: 0.1834
• Train Rougelsum: 0.1834
• Train Gen Len: 18.7884
• Epoch: 2

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': 'AdamWeightDecay', 'learning_rate': 2e-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

Training results

Train Loss	Validation Loss	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
3.2117	2.8067	0.2073	0.0406	0.1611	0.1612	18.612	0
2.9396	2.7271	0.2257	0.0474	0.1776	0.1777	18.6914	1
2.8756	2.6937	0.2334	0.0495	0.1834	0.1834	18.7884	2

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.13.1
• Tokenizers 0.13.3