pegasust5base / README.md
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metadata
base_model: google/pegasus-x-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: pegasust5base
    results: []

pegasust5base

This model is a fine-tuned version of google/pegasus-x-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0441
  • Rouge1: 46.3783
  • Rouge2: 22.2914
  • Rougel: 28.5553
  • Rougelsum: 41.5329
  • Gen Len: 293.2118

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: 4e-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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.4875 1.0 515 2.0441 46.3783 22.2914 28.5553 41.5329 293.2118

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2