Rocketknight1/t5-small-finetuned-xsum

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: 2.7172
• Validation Loss: 2.3977
• Train Rouge1: 28.7469
• Train Rouge2: 7.9005
• Train Rougel: 22.5917
• Train Rougelsum: 22.6162
• Train Gen Len: 18.875
• 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
2.7172	2.3977	28.7469	7.9005	22.5917	22.6162	18.875	0

Framework versions

• Transformers 4.16.0.dev0
• TensorFlow 2.8.0-rc0
• Datasets 1.17.0
• Tokenizers 0.11.0