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BART-summ-v1

Text2Text Generation
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TensorFlow
bart
generated_from_keras_callback
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BART-summ-v1 / README.md
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metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
  - generated_from_keras_callback
model-index:
  - name: iguerrasevillano/BART-summ-v1
    results: []

iguerrasevillano/BART-summ-v1

This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 3.9877
  • Validation Loss: 3.5287
  • Train Rouge1: 32.1820
  • Train Rouge2: 9.3543
  • Train Rougel: 22.3531
  • Train Rougelsum: 25.9513
  • Train Gen Len: 52.0625
  • 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
3.9877 3.5287 32.1820 9.3543 22.3531 25.9513 52.0625 0

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.16.1
  • Tokenizers 0.15.1