Add evaluation results on samsum dataset
Browse filesBeep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\
Your model has been evaluated on the [samsum](https://huggingface.co/datasets/samsum) dataset by
@lewtun
, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-6fbfec76-7855042).\
Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=samsum).\
Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=samsum).
README.md
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datasets:
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- samsum
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widget:
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- text:
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Jeff: and how can I get started?
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Jeff: where can I find documentation?
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Philipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face
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model-index:
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- name: bart-base-samsum
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results:
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- task:
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name: Abstractive Text Summarization
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type: abstractive-text-summarization
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dataset:
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name:
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type: samsum
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metrics:
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---
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## `bart-base-samsum`
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This model was obtained by fine-tuning `facebook/bart-base` on Samsum dataset.
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datasets:
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- samsum
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widget:
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- text: "Jeff: Can I train a \U0001F917 Transformers model on Amazon SageMaker? \n\
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Philipp: Sure you can use the new Hugging Face Deep Learning Container. \nJeff:\
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\ ok.\nJeff: and how can I get started? \nJeff: where can I find documentation?\
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\ \nPhilipp: ok, ok you can find everything here. https://huggingface.co/blog/the-partnership-amazon-sagemaker-and-hugging-face\n"
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model-index:
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- name: bart-base-samsum
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results:
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- task:
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name: Abstractive Text Summarization
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type: abstractive-text-summarization
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dataset:
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name: 'SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization'
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type: samsum
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metrics:
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- name: Validation ROGUE-1
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type: rogue-1
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value: 46.6619
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- name: Validation ROGUE-2
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type: rogue-2
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value: 23.3285
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- name: Validation ROGUE-L
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type: rogue-l
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value: 39.4811
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- name: Test ROGUE-1
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type: rogue-1
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value: 44.9932
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- name: Test ROGUE-2
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type: rogue-2
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value: 21.7286
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- name: Test ROGUE-L
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type: rogue-l
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value: 38.1921
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- task:
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type: summarization
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name: Summarization
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: test
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metrics:
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- name: ROUGE-1
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type: rouge
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value: 45.0148
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verified: true
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- name: ROUGE-2
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type: rouge
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value: 21.6861
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verified: true
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- name: ROUGE-L
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type: rouge
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value: 38.1728
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verified: true
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- name: ROUGE-LSUM
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type: rouge
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value: 41.2794
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verified: true
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- name: loss
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type: loss
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value: 1.597476601600647
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verified: true
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- name: gen_len
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type: gen_len
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value: 17.6606
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verified: true
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---
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## `bart-base-samsum`
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This model was obtained by fine-tuning `facebook/bart-base` on Samsum dataset.
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