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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: cv_summarization-distilbart-cnn-16-6
    results: []

cv_summarization-distilbart-cnn-16-6

This model is a fine-tuned version of philschmid/tf-distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.1445
  • Validation Loss: 0.4524
  • Epoch: 4

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': 'Adam', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.7265 0.4665 0
0.3192 0.4480 1
0.2154 0.4395 2
0.1587 0.4668 3
0.1445 0.4524 4

Framework versions

  • Transformers 4.30.1
  • TensorFlow 2.12.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3