j-gc/News_Summarization

It achieves the following results on the evaluation set:

• Train Loss: 1.8429
• Validation Loss: 1.6616
• Train Lr: 2e-05
• Epoch: 6

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
1.9276	1.6934	2e-05	0
1.8823	1.6807	2e-05	1
1.8644	1.6745	2e-05	2
1.8627	1.6671	2e-05	3
1.8604	1.6672	2e-05	4
1.8496	1.6631	2e-05	5
1.8429	1.6616	2e-05	6

Framework versions

• Transformers 4.30.1
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.13.3