Edit model card

results

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

  • Loss: 1.0158

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: 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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 1 0.9563
No log 2.0 2 0.9877
No log 3.0 3 1.0158

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.10.0
  • Datasets 2.0.0
  • Tokenizers 0.11.6
Downloads last month
3

Dataset used to train FrankCorrigan/results