README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: bart-base-finetuned-xlsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          args: english
        metrics:
          - name: Rouge1
            type: rouge
            value: 36.7016

bart-base-finetuned-xlsum

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

• Loss: 1.8367
• Rouge1: 36.7016
• Rouge2: 15.3377
• Rougel: 29.8655
• Rougelsum: 29.9287
• Gen Len: 19.571

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: 16
• eval_batch_size: 16
• 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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.0991	1.0	19158	1.8367	36.7016	15.3377	29.8655	29.9287	19.571

Framework versions

• Transformers 4.13.0
• Pytorch 1.13.0+cu116
• Datasets 2.8.0
• Tokenizers 0.10.3