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AdamCodd/bart-large-cnn-samsum

🤗 Hugging Face sourcesummarizationapache-2.0406M params1.6 GBsafetensors✓ 7 checksumsupdated today
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bart-large-cnn-samsum

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

  • Loss: 0.755
  • Rouge1: 43.6283
  • Rouge2: 19.3096
  • Rougel: 41.2140
  • Rougelsum: 37.2590

Model description

More information needed

Intended uses & limitations

from transformers import pipeline
summarizer = pipeline("summarization", model="AdamCodd/bart-large-cnn-samsum")

conversation = '''Emily: Hey Alex, have you heard about the new restaurant that opened downtown?
Alex: No, I haven't. What's it called?
Emily: It's called "Savory Bites." They say it has the best pasta in town.
Alex: That sounds delicious. When are you thinking of checking it out?
Emily: How about this Saturday? We can make it a dinner date.
Alex: Sounds like a plan, Emily. I'm looking forward to it.                                       
'''
result = summarizer(conversation)
print(result)

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 1270
  • optimizer: AdamW with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 150
  • num_epochs: 1

Training results

key value
eval_rouge1 43.6283
eval_rouge2 19.3096
eval_rougeL 41.2140
eval_rougeLsum 37.2590

Framework versions

  • Transformers 4.34.0
  • Pytorch lightning 2.0.9
  • Tokenizers 0.14.0

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