Pragathi0111/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: 2.3417
• Validation Loss: 2.4556
• 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
2.4420	2.5966	2e-05	0
2.4388	2.5729	2e-05	1
2.2632	2.5500	2e-05	2
2.4379	2.5284	2e-05	3
2.5256	2.5081	2e-05	4
2.3115	2.4890	2e-05	5
2.1365	2.4718	2e-05	6
2.3417	2.4556	2e-05	7

Framework versions

• Transformers 4.35.2
• TensorFlow 2.14.0
• Datasets 2.15.0
• Tokenizers 0.15.0