santiviquez's picture
update model card README.md
3efb79a
|
raw
history blame
1.96 kB
metadata
license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - samsum
metrics:
  - rouge
model-index:
  - name: bart-base-finetuned-samsum-en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: samsum
          type: samsum
          args: samsum
        metrics:
          - name: Rouge1
            type: rouge
            value: 46.8825

bart-base-finetuned-samsum-en

This model is a fine-tuned version of facebook/bart-base on the samsum dataset. It achieves the following results on the evaluation set:

  • Loss: 2.3676
  • Rouge1: 46.8825
  • Rouge2: 22.0923
  • Rougel: 39.7249
  • Rougelsum: 42.9187

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: 5.6e-05
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
0.5172 1.0 300 2.1613 47.4152 22.8106 39.93 43.3639
0.3627 2.0 600 2.2771 47.2676 22.6325 40.1345 43.19
0.2466 3.0 900 2.3676 46.8825 22.0923 39.7249 42.9187

Framework versions

  • Transformers 4.19.2
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1