shirsh10mall/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: 1.9217
• Validation Loss: 1.6990
• Train Lr: 2e-05
• 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': '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
1.9217	1.6990	2e-05	0

Framework versions

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