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bart-large-cnn-finetuned-bert-school-questions

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 5.2978

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
10.54 1.0 9 6.4838
6.8729 2.0 18 5.6820
6.1114 3.0 27 5.2978

Framework versions

  • Transformers 4.36.1
  • Pytorch 2.1.2+cpu
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model size
254M params
Tensor type
F32
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