Lightscale/aap_summarization_model_2

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 3.1794
• Validation Loss: 2.4275
• Train Rouge1: 0.1955
• Train Rouge2: 0.0846
• Train Rougel: 0.1599
• Train Rougelsum: 0.1594
• Train Gen Len: 19.0
• 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
3.4805	2.6430	0.1829	0.0809	0.1503	0.1504	19.0	0
3.2576	2.5024	0.1955	0.0846	0.1599	0.1594	19.0	1
3.1794	2.4275	0.1955	0.0846	0.1599	0.1594	19.0	2

Framework versions

• Transformers 4.42.4
• TensorFlow 2.17.0
• Datasets 2.20.0
• Tokenizers 0.19.1