README.md

metadata

license: apache-2.0
base_model: google/bigbird-pegasus-large-arxiv
tags:
  - generated_from_trainer
datasets:
  - scientific_papers
model-index:
  - name: summarizer
    results: []

summarizer

This model is a fine-tuned version of google/bigbird-pegasus-large-arxiv on the scientific_papers 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: 2e-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
No log	1.0	51	1.7488

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2