EdBianchi/T5-finetuned-abstracts

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: 1.9469
• Train Lr: 0.0004
• Validation Loss: 1.8462
• Validation Lr: 0.0002
• Epoch: 1

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': 0.00015378147, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Lr	Validation Loss	Validation Lr	Epoch
2.2534	0.0005	1.9839	0.0007	0
1.9469	0.0004	1.8462	0.0002	1

Framework versions

• Transformers 4.21.3
• TensorFlow 2.10.0
• Datasets 2.4.0
• Tokenizers 0.12.1