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pegasus-x-large-booksum-16k

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metadata
base_model: ubaada/pegasus-x-large-booksum-16k
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: pegasus-x-large-booksum-16k
    results: []

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pegasus-x-large-booksum-16k

This model is a fine-tuned version of ubaada/pegasus-x-large-booksum-16k on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8948
  • Rouge1: 0.3044
  • Rouge2: 0.0517
  • Rougel: 0.1398

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: 8e-05
  • train_batch_size: 8
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel
1.3001 0.9992 314 1.8948 0.3044 0.0517 0.1398

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.2.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1