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xsum_headline_generator

Summarization Transformers PyTorch TensorBoard pegasus text2text-generation generated_from_trainer Inference Endpoints
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: xsum_headline_generator_depreciated
    results: []
    license: other
pipeline_tag: summarization

xsum_headline_generator_depreciated

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

  • Loss: 0.3521

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.6447 0.8 500 0.4893
0.3729 1.6 1000 0.3570
0.3663 2.4 1500 0.3521

Framework versions

  • Transformers 4.18.0
  • Pytorch 1.11.0
  • Datasets 2.1.0
  • Tokenizers 0.12.1