dtorber / BioNLP-2024-dtorber-baseline-eLife

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Model's Last Updated: April 07 2024
summarization

Introduction of BioNLP-2024-dtorber-baseline-eLife

Model Details of BioNLP-2024-dtorber-baseline-eLife

BioNLP-2024-dtorber-baseline-eLife

This model was trained from scratch on an unknown dataset.

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: 1.3739167643078955e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • Transformers 4.35.2
  • Pytorch 1.13.1+cu117
  • Datasets 2.16.1
  • Tokenizers 0.15.2

Runs of dtorber BioNLP-2024-dtorber-baseline-eLife on huggingface.co

58
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3-day runs
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7-day runs
23
30-day runs

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Updated:May 15 2024