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
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Evaluation results