paper-cutting

This model was a finetuned version of nvidia/mit-b5 on the paper-cutting datasetv0.1.

It was trained to extract body contents from any resources like articles and books, just like cutting them off the paper.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

paper-cutting v0.1

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 6e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 50

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0