soniapari/Summary_Model

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: 1.2986
• Validation Loss: 1.3658
• 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
1.7043	1.5899	2e-05	0
1.6185	1.5345	2e-05	1
1.5086	1.4917	2e-05	2
1.4983	1.4554	2e-05	3
1.4419	1.4207	2e-05	4
1.4364	1.3933	2e-05	5
1.2986	1.3658	2e-05	6

Framework versions

• Transformers 4.38.2
• TensorFlow 2.16.1
• Datasets 2.21.0
• Tokenizers 0.15.2