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metadata
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-re-attention-full-length
    results: []

bart-base-re-attention-full-length

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3356
  • Rouge1: 20.3438
  • Rouge2: 14.7577
  • Rougel: 19.0604
  • Rougelsum: 20.0908
  • Gen Len: 25.5299

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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.0151 1.0 14207 1.3356 20.3438 14.7577 19.0604 20.0908 25.5299

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.14.1