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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: bart-large-finetuned-filtered-spotify-podcast-summ
    results: []

bart-large-finetuned-filtered-spotify-podcast-summ

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

  • Train Loss: 2.2967
  • Validation Loss: 2.8716
  • Epoch: 2

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 Epoch
3.0440 2.8733 0
2.6085 2.8549 1
2.2967 2.8716 2

Framework versions

  • Transformers 4.19.4
  • TensorFlow 2.9.1
  • Datasets 2.3.1
  • Tokenizers 0.12.1