TestZee/t5-small-baseline_summary_zee_v1.0

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: 2.3722
• Validation Loss: 2.1596
• Train Rouge1: 21.6350
• Train Rouge2: 8.9453
• Train Rougel: 17.8649
• Train Rougelsum: 19.9099
• Train Gen Len: 19.0
• 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 Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
2.3722	2.1596	21.6350	8.9453	17.8649	19.9099	19.0	0

Framework versions

• Transformers 4.23.1
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.1