metadata

license: apache-2.0
tags:
  - summarization
datasets:
  - multi_news
metrics:
  - rouge
model-index:
  - name: distilbart-cnn-12-6-ftn-multi_news
    results:
      - task:
          type: summarization
          name: Sequence-to-sequence Language Modeling
        dataset:
          name: multi_news
          type: multi_news
          args: default
        metrics:
          - type: rouge
            value: 41.6136
            name: Rouge1
      - task:
          type: summarization
          name: Summarization
        dataset:
          name: multi_news
          type: multi_news
          config: default
          split: test
        metrics:
          - type: rouge
            value: 39.6512
            name: ROUGE-1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWZmOGE4MDFmODc2ZjYzOGQzZTRhNDdkYWJmYjYwZTBjMDQ3NjhkZmQwNTNjOThhY2ZkOWEzN2ExYmVhZWY1NyIsInZlcnNpb24iOjF9.s_JR_jcznilN8Z-In5H1njVEbAXndRnUq7ChjEFKscIuDwPRzsikWhJCbxgGpjUlqcb_oqDLFRVX3wzFkKevBA
          - type: rouge
            value: 14.333
            name: ROUGE-2
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWU5YWI5ZmE4YjgxMDZmN2IxYjZjNTA3Y2ZjYzM4OGJjMjNkM2NjNzYxM2Y4ZmFkMGJlZGZmYWZiMjUzZTAwYSIsInZlcnNpb24iOjF9.ohu859pGplHtNDT7a-ap7PCb92OQDn1Je1rTuZgNQZxZiBNT4Us8DYrKOiEmWTLy6eQ84eDBZYmou2jymk3TDw
          - type: rouge
            value: 21.5797
            name: ROUGE-L
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjhmYjMwNGU1NmY4YWFkYjQ1ZjlmOWMxYzQ5MDdhOGE2YjdkZmQ5ZmViOGJkZWY0NDVlNjNhNzUyNmI3ZmMyMCIsInZlcnNpb24iOjF9.m2eT6JZZVTMcY0H7_mvCqRUv_esZ8VaL8lDmRu7Qv9GU3hoPgb2m6AxgYs_WiYMel3XotRNJwbKZoOLJraqrCw
          - type: rouge
            value: 35.5793
            name: ROUGE-LSUM
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2EzNWE4NWQzODQ1MGM3YTY2ZDFmZjFiMmEyMTlkZjQ5OTBkYzI3MzdmODc0ZWFlYWE4ZTY0ZDYxNDIxMDQ3ZSIsInZlcnNpb24iOjF9.hVjZtIcJ9SM9Minc83IkZ94-wVvt2s3vrk-250IINh6NKf3uDjQk5pPlS0HauTXl_c8rRlfH0UVJffFHRuNRAw
          - type: loss
            value: 5.507579803466797
            name: loss
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzU2NmI5ZmUyYWM0NzI3YTkxZjliOGUzZGI5OGFmNmIyODY0ZDEwZDlkZWY5MjhiOTE1MjAyOTc5YmY3YTJjMCIsInZlcnNpb24iOjF9.LOhbR1lcd8sDA_ZP1oHphVBjBSNGYDBIuMnOLZRS3P6GlmtkyPELxQPvqKnMq1BmZBW3PMRk5xBiQ2ThBIvfCg
          - type: gen_len
            value: 132.1745
            name: gen_len
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTJkOGIxOTZkMmIzM2FjNjQ1MjBlYWJhYmY0YTM0ZTlkNmE0N2VmMjA5N2I5ZmJhODA3MjhkZjA1NmVmYTA0OSIsInZlcnNpb24iOjF9.0eiumS0wmfr-DSyV7KocpeFWziDwYUpSn4XVjpeeQxskAOgg5w28VOasXj0oY5KBPVaC5MiSfvY77rZXpvIIAg

distilbart-cnn-12-6-ftn-multi_news

This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on the multi_news dataset. It achieves the following results on the evaluation set:

Loss: 3.8143
Rouge1: 41.6136
Rouge2: 14.7454
Rougel: 23.3597
Rougelsum: 36.1973
Gen Len: 130.874

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.8821	0.89	2000	3.8143	41.6136	14.7454	23.3597	36.1973	130.874

Framework versions

Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1