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bart-large-mnli-rotten-tomatoes

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

  • Loss: 0.6032

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • 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
0.1965 1.0 1067 0.6041
0.1604 2.0 2134 0.6165
0.0796 3.0 3201 0.6032

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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Dataset used to train hdks/bart-large-mnli-rotten-tomatoes