longformer-elife / README.md
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Training done for longformer-elife
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metadata
license: apache-2.0
base_model: hyesunyun/update-summarization-bart-large-longformer
tags:
  - generated_from_trainer
model-index:
  - name: longformer-elife
    results: []

longformer-elife

This model is a fine-tuned version of hyesunyun/update-summarization-bart-large-longformer on the None 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: 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: 1

Training results

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1