MBorchid/Fine_Tune_T5_Model_News_Summarization

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: 2.3213
• Validation Loss: 2.1190
• Train Lr: 2e-05
• Epoch: 7

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 Lr	Epoch
3.2244	2.8051	2e-05	0
2.7930	2.7110	2e-05	1
2.7371	2.6159	2e-05	2
2.6703	2.5146	2e-05	3
2.4059	2.4155	2e-05	4
2.5738	2.3119	2e-05	5
2.8105	2.2121	2e-05	6
2.3213	2.1190	2e-05	7

Framework versions

• Transformers 4.37.2
• TensorFlow 2.15.0
• Datasets 2.17.1
• Tokenizers 0.15.2