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Qiliang/bart-large-cnn-samsum-ChatGPT_v3 converted to ONNX and quantized using optimum.


bart-large-cnn-samsum-ChatGPT_v3

This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset.

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:

  • learning_rate: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.24.0
  • Pytorch 1.12.1
  • Datasets 2.6.1
  • Tokenizers 0.13.2
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