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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: AnnaR/literature_summarizer
    results: []

AnnaR/literature_summarizer

This model is a fine-tuned version of sshleifer/distilbart-xsum-1-1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 3.2180
  • Validation Loss: 4.7198
  • Epoch: 10

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 5300, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.1}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
5.6694 5.0234 0
4.9191 4.8161 1
4.5770 4.7170 2
4.3268 4.6571 3
4.1073 4.6296 4
3.9225 4.6279 5
3.7564 4.6288 6
3.5989 4.6731 7
3.4611 4.6767 8
3.3356 4.6934 9
3.2180 4.7198 10

Framework versions

  • Transformers 4.17.0
  • TensorFlow 2.8.0
  • Datasets 2.0.0
  • Tokenizers 0.11.6