README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - reddit
metrics:
  - rouge
model-index:
  - name: distilbart-cnn-6-6-reddit
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: reddit
          type: reddit
          config: default
          split: train
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.1849

distilbart-cnn-6-6-reddit

This model is a fine-tuned version of sshleifer/distilbart-cnn-6-6 on the reddit dataset. It achieves the following results on the evaluation set:

• Loss: 2.9883
• Rouge1: 0.1849
• Rouge2: 0.0437
• Rougel: 0.1273
• Rougelsum: 0.1601

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: 0.0001
• 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
3.13	1.0	238116	3.2736	0.1773	0.0392	0.1223	0.1539
2.8586	2.0	476232	3.0449	0.1846	0.0431	0.127	0.1601
2.7844	3.0	714348	2.9883	0.1849	0.0437	0.1273	0.1601

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2