GuysTrans's picture
update model card README.md
89a8826
|
raw
history blame
2.43 kB
metadata
license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: bart-base-finetuned-xsum
    results: []

bart-base-finetuned-xsum

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7802
  • Rouge1: 10.2407
  • Rouge2: 5.6898
  • Rougel: 8.8732
  • Rougelsum: 9.8768
  • Gen Len: 20.0

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: 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: 10

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.596 1.0 501 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.6005 2.0 1002 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.5976 3.0 1503 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.5868 4.0 2004 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.605 5.0 2505 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.6027 6.0 3006 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.5854 7.0 3507 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.605 8.0 4008 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.5957 9.0 4509 1.7802 10.2407 5.6898 8.8732 9.8768 20.0
1.6029 10.0 5010 1.7802 10.2407 5.6898 8.8732 9.8768 20.0

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3