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Upload TFBartForConditionalGeneration
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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: Customer-Support-Assistant
    results: []

Customer-Support-Assistant

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

  • Train Loss: 0.2225
  • Validation Loss: 1.2975
  • 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': '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
1.7810 1.2671 0
0.8029 1.0762 1
0.5087 1.1009 2
0.3161 1.1498 3
0.2225 1.2975 4

Framework versions

  • Transformers 4.27.3
  • TensorFlow 2.11.0
  • Datasets 2.10.1
  • Tokenizers 0.13.2