metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - ccdv/arxiv-summarization
metrics:
  - rouge
model-index:
  - name: results
    results:
      - task:
          name: Summarization
          type: summarization
        dataset:
          name: ccdv/arxiv-summarization
          type: ccdv/arxiv-summarization
          config: section
          split: validation
          args: section
        metrics:
          - name: Rouge1
            type: rouge
            value: 35.6639

results

This model is a fine-tuned version of sshleifer/distilbart-xsum-12-1 on the ccdv/arxiv-summarization dataset. It achieves the following results on the evaluation set:

Loss: 4.3066
Rouge1: 35.6639
Rouge2: 10.5717
Rougel: 21.095
Rougelsum: 31.2685
Gen Len: 81.44

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: 5e-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: 3.0

Training results

Framework versions

Transformers 4.29.0.dev0
Pytorch 2.0.0
Datasets 2.10.1
Tokenizers 0.13.2