t5_summarization

This model is a fine-tuned version of psyche/KoT5-summarization on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1831
• Validation Loss: 0.1543
• Train Rougel: tf.Tensor(0.13621536, shape=(), dtype=float32)
• Epoch: 0

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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Rougel	Epoch
0.1831	0.1543	tf.Tensor(0.13621536, shape=(), dtype=float32)	0

Framework versions

• Transformers 4.26.1
• TensorFlow 2.11.0
• Datasets 2.10.1
• Tokenizers 0.13.2